diff --git a/train.log b/train.log new file mode 100644 index 0000000..d7d481d --- /dev/null +++ b/train.log @@ -0,0 +1,5965 @@ +[2022/05/18 16:58:27] ppcls INFO: +=========================================================== +== PaddleClas is powered by PaddlePaddle ! == +=========================================================== +== == +== For more info please go to the following website. == +== == +== https://github.com/PaddlePaddle/PaddleClas == +=========================================================== + +[2022/05/18 16:58:27] ppcls INFO: Arch : +[2022/05/18 16:58:27] ppcls INFO: Backbone : +[2022/05/18 16:58:27] ppcls INFO: name : PPLCNet_x2_5 +[2022/05/18 16:58:27] ppcls INFO: pretrained : True +[2022/05/18 16:58:27] ppcls INFO: use_ssld : True +[2022/05/18 16:58:27] ppcls INFO: BackboneStopLayer : +[2022/05/18 16:58:27] ppcls INFO: name : flatten +[2022/05/18 16:58:27] ppcls INFO: Head : +[2022/05/18 16:58:27] ppcls INFO: class_num : 185341 +[2022/05/18 16:58:27] ppcls INFO: embedding_size : 512 +[2022/05/18 16:58:27] ppcls INFO: margin : 0.2 +[2022/05/18 16:58:27] ppcls INFO: name : ArcMargin +[2022/05/18 16:58:27] ppcls INFO: scale : 30 +[2022/05/18 16:58:27] ppcls INFO: Neck : +[2022/05/18 16:58:27] ppcls INFO: class_num : 512 +[2022/05/18 16:58:27] ppcls INFO: embedding_size : 1280 +[2022/05/18 16:58:27] ppcls INFO: name : FC +[2022/05/18 16:58:27] ppcls INFO: infer_add_softmax : False +[2022/05/18 16:58:27] ppcls INFO: infer_output_key : features +[2022/05/18 16:58:27] ppcls INFO: name : RecModel +[2022/05/18 16:58:27] ppcls INFO: DataLoader : +[2022/05/18 16:58:27] ppcls INFO: Eval : +[2022/05/18 16:58:27] ppcls INFO: Gallery : +[2022/05/18 16:58:27] ppcls INFO: dataset : +[2022/05/18 16:58:27] ppcls INFO: cls_label_path : ./dataset/Aliproduct/val_list.txt +[2022/05/18 16:58:27] ppcls INFO: image_root : ./dataset/Aliproduct/ +[2022/05/18 16:58:27] ppcls INFO: name : VeriWild +[2022/05/18 16:58:27] ppcls INFO: transform_ops : +[2022/05/18 16:58:27] ppcls INFO: DecodeImage : +[2022/05/18 16:58:27] ppcls INFO: channel_first : False +[2022/05/18 16:58:27] ppcls INFO: to_rgb : True +[2022/05/18 16:58:27] ppcls INFO: ResizeImage : +[2022/05/18 16:58:27] ppcls INFO: size : 224 +[2022/05/18 16:58:27] ppcls INFO: NormalizeImage : +[2022/05/18 16:58:27] ppcls INFO: mean : [0.485, 0.456, 0.406] +[2022/05/18 16:58:27] ppcls INFO: order : +[2022/05/18 16:58:27] ppcls INFO: scale : 0.00392157 +[2022/05/18 16:58:27] ppcls INFO: std : [0.229, 0.224, 0.225] +[2022/05/18 16:58:27] ppcls INFO: loader : +[2022/05/18 16:58:27] ppcls INFO: num_workers : 4 +[2022/05/18 16:58:27] ppcls INFO: use_shared_memory : True +[2022/05/18 16:58:27] ppcls INFO: sampler : +[2022/05/18 16:58:27] ppcls INFO: batch_size : 64 +[2022/05/18 16:58:27] ppcls INFO: drop_last : False +[2022/05/18 16:58:27] ppcls INFO: name : DistributedBatchSampler +[2022/05/18 16:58:27] ppcls INFO: shuffle : False +[2022/05/18 16:58:27] ppcls INFO: Query : +[2022/05/18 16:58:27] ppcls INFO: dataset : +[2022/05/18 16:58:27] ppcls INFO: cls_label_path : ./dataset/Aliproduct/val_list.txt +[2022/05/18 16:58:27] ppcls INFO: image_root : ./dataset/Aliproduct/ +[2022/05/18 16:58:27] ppcls INFO: name : VeriWild +[2022/05/18 16:58:27] ppcls INFO: transform_ops : +[2022/05/18 16:58:27] ppcls INFO: DecodeImage : +[2022/05/18 16:58:27] ppcls INFO: channel_first : False +[2022/05/18 16:58:27] ppcls INFO: to_rgb : True +[2022/05/18 16:58:27] ppcls INFO: ResizeImage : +[2022/05/18 16:58:27] ppcls INFO: size : 224 +[2022/05/18 16:58:27] ppcls INFO: NormalizeImage : +[2022/05/18 16:58:27] ppcls INFO: mean : [0.485, 0.456, 0.406] +[2022/05/18 16:58:27] ppcls INFO: order : +[2022/05/18 16:58:27] ppcls INFO: scale : 0.00392157 +[2022/05/18 16:58:27] ppcls INFO: std : [0.229, 0.224, 0.225] +[2022/05/18 16:58:27] ppcls INFO: loader : +[2022/05/18 16:58:27] ppcls INFO: num_workers : 4 +[2022/05/18 16:58:27] ppcls INFO: use_shared_memory : True +[2022/05/18 16:58:27] ppcls INFO: sampler : +[2022/05/18 16:58:27] ppcls INFO: batch_size : 64 +[2022/05/18 16:58:27] ppcls INFO: drop_last : False +[2022/05/18 16:58:27] ppcls INFO: name : DistributedBatchSampler +[2022/05/18 16:58:27] ppcls INFO: shuffle : False +[2022/05/18 16:58:27] ppcls INFO: Train : +[2022/05/18 16:58:27] ppcls INFO: dataset : +[2022/05/18 16:58:27] ppcls INFO: cls_label_path : ./dataset/train_reg_all_data.txt +[2022/05/18 16:58:27] ppcls INFO: image_root : ./dataset/ +[2022/05/18 16:58:27] ppcls INFO: name : ImageNetDataset +[2022/05/18 16:58:27] ppcls INFO: transform_ops : +[2022/05/18 16:58:27] ppcls INFO: DecodeImage : +[2022/05/18 16:58:27] ppcls INFO: channel_first : False +[2022/05/18 16:58:27] ppcls INFO: to_rgb : True +[2022/05/18 16:58:27] ppcls INFO: RandCropImage : +[2022/05/18 16:58:27] ppcls INFO: size : 224 +[2022/05/18 16:58:27] ppcls INFO: RandFlipImage : +[2022/05/18 16:58:27] ppcls INFO: flip_code : 1 +[2022/05/18 16:58:27] ppcls INFO: NormalizeImage : +[2022/05/18 16:58:27] ppcls INFO: mean : [0.485, 0.456, 0.406] +[2022/05/18 16:58:27] ppcls INFO: order : +[2022/05/18 16:58:27] ppcls INFO: scale : 1.0/255.0 +[2022/05/18 16:58:27] ppcls INFO: std : [0.229, 0.224, 0.225] +[2022/05/18 16:58:27] ppcls INFO: loader : +[2022/05/18 16:58:27] ppcls INFO: num_workers : 4 +[2022/05/18 16:58:27] ppcls INFO: use_shared_memory : True +[2022/05/18 16:58:27] ppcls INFO: sampler : +[2022/05/18 16:58:27] ppcls INFO: batch_size : 256 +[2022/05/18 16:58:27] ppcls INFO: drop_last : False +[2022/05/18 16:58:27] ppcls INFO: name : DistributedBatchSampler +[2022/05/18 16:58:27] ppcls INFO: shuffle : True +[2022/05/18 16:58:27] ppcls INFO: Global : +[2022/05/18 16:58:27] ppcls INFO: checkpoints : None +[2022/05/18 16:58:27] ppcls INFO: device : gpu +[2022/05/18 16:58:27] ppcls INFO: epochs : 100 +[2022/05/18 16:58:27] ppcls INFO: eval_during_train : True +[2022/05/18 16:58:27] ppcls INFO: eval_interval : 1 +[2022/05/18 16:58:27] ppcls INFO: eval_mode : retrieval +[2022/05/18 16:58:27] ppcls INFO: image_shape : [3, 224, 224] +[2022/05/18 16:58:27] ppcls INFO: output_dir : ./output/ +[2022/05/18 16:58:27] ppcls INFO: pretrained_model : None +[2022/05/18 16:58:27] ppcls INFO: print_batch_step : 10 +[2022/05/18 16:58:27] ppcls INFO: save_inference_dir : ./inference +[2022/05/18 16:58:27] ppcls INFO: save_interval : 1 +[2022/05/18 16:58:27] ppcls INFO: to_static : False +[2022/05/18 16:58:27] ppcls INFO: use_dali : False +[2022/05/18 16:58:27] ppcls INFO: use_visualdl : False +[2022/05/18 16:58:27] ppcls INFO: Loss : +[2022/05/18 16:58:27] ppcls INFO: Eval : +[2022/05/18 16:58:27] ppcls INFO: CELoss : +[2022/05/18 16:58:27] ppcls INFO: weight : 1.0 +[2022/05/18 16:58:27] ppcls INFO: Train : +[2022/05/18 16:58:27] ppcls INFO: CELoss : +[2022/05/18 16:58:27] ppcls INFO: weight : 1.0 +[2022/05/18 16:58:27] ppcls INFO: Metric : +[2022/05/18 16:58:27] ppcls INFO: Eval : +[2022/05/18 16:58:27] ppcls INFO: Recallk : +[2022/05/18 16:58:27] ppcls INFO: topk : [1, 5] +[2022/05/18 16:58:27] ppcls INFO: Optimizer : +[2022/05/18 16:58:27] ppcls INFO: lr : +[2022/05/18 16:58:27] ppcls INFO: learning_rate : 0.04 +[2022/05/18 16:58:27] ppcls INFO: name : Cosine +[2022/05/18 16:58:27] ppcls INFO: warmup_epoch : 5 +[2022/05/18 16:58:27] ppcls INFO: momentum : 0.9 +[2022/05/18 16:58:27] ppcls INFO: name : Momentum +[2022/05/18 16:58:27] ppcls INFO: regularizer : +[2022/05/18 16:58:27] ppcls INFO: coeff : 1e-05 +[2022/05/18 16:58:27] ppcls INFO: name : L2 +[2022/05/18 16:58:27] ppcls INFO: profiler_options : None +[2022/05/18 16:58:27] ppcls INFO: train with paddle 2.3.0 and device Place(gpu:0) +[2022/05/18 16:58:30] ppcls INFO: +=========================================================== +== PaddleClas is powered by PaddlePaddle ! == +=========================================================== +== == +== For more info please go to the following website. == +== == +== https://github.com/PaddlePaddle/PaddleClas == +=========================================================== + +[2022/05/18 16:58:30] ppcls INFO: Arch : +[2022/05/18 16:58:30] ppcls INFO: Backbone : +[2022/05/18 16:58:30] ppcls INFO: name : PPLCNet_x2_5 +[2022/05/18 16:58:30] ppcls INFO: pretrained : True +[2022/05/18 16:58:30] ppcls INFO: use_ssld : True +[2022/05/18 16:58:30] ppcls INFO: BackboneStopLayer : +[2022/05/18 16:58:30] ppcls INFO: name : flatten +[2022/05/18 16:58:30] ppcls INFO: Head : +[2022/05/18 16:58:30] ppcls INFO: class_num : 185341 +[2022/05/18 16:58:30] ppcls INFO: embedding_size : 512 +[2022/05/18 16:58:30] ppcls INFO: margin : 0.2 +[2022/05/18 16:58:30] ppcls INFO: name : ArcMargin +[2022/05/18 16:58:30] ppcls INFO: scale : 30 +[2022/05/18 16:58:30] ppcls INFO: Neck : +[2022/05/18 16:58:30] ppcls INFO: class_num : 512 +[2022/05/18 16:58:30] ppcls INFO: embedding_size : 1280 +[2022/05/18 16:58:30] ppcls INFO: name : FC +[2022/05/18 16:58:30] ppcls INFO: infer_add_softmax : False +[2022/05/18 16:58:30] ppcls INFO: infer_output_key : features +[2022/05/18 16:58:30] ppcls INFO: name : RecModel +[2022/05/18 16:58:30] ppcls INFO: DataLoader : +[2022/05/18 16:58:30] ppcls INFO: Eval : +[2022/05/18 16:58:30] ppcls INFO: Gallery : +[2022/05/18 16:58:30] ppcls INFO: dataset : +[2022/05/18 16:58:30] ppcls INFO: cls_label_path : ./dataset/Aliproduct/val_list.txt +[2022/05/18 16:58:30] ppcls INFO: image_root : ./dataset/Aliproduct/ +[2022/05/18 16:58:30] ppcls INFO: name : VeriWild +[2022/05/18 16:58:30] ppcls INFO: transform_ops : +[2022/05/18 16:58:30] ppcls INFO: DecodeImage : +[2022/05/18 16:58:30] ppcls INFO: channel_first : False +[2022/05/18 16:58:30] ppcls INFO: to_rgb : True +[2022/05/18 16:58:30] ppcls INFO: ResizeImage : +[2022/05/18 16:58:30] ppcls INFO: size : 224 +[2022/05/18 16:58:30] ppcls INFO: NormalizeImage : +[2022/05/18 16:58:30] ppcls INFO: mean : [0.485, 0.456, 0.406] +[2022/05/18 16:58:30] ppcls INFO: order : +[2022/05/18 16:58:30] ppcls INFO: scale : 0.00392157 +[2022/05/18 16:58:30] ppcls INFO: std : [0.229, 0.224, 0.225] +[2022/05/18 16:58:30] ppcls INFO: loader : +[2022/05/18 16:58:30] ppcls INFO: num_workers : 4 +[2022/05/18 16:58:30] ppcls INFO: use_shared_memory : True +[2022/05/18 16:58:30] ppcls INFO: sampler : +[2022/05/18 16:58:30] ppcls INFO: batch_size : 64 +[2022/05/18 16:58:30] ppcls INFO: drop_last : False +[2022/05/18 16:58:30] ppcls INFO: name : DistributedBatchSampler +[2022/05/18 16:58:30] ppcls INFO: shuffle : False +[2022/05/18 16:58:30] ppcls INFO: Query : +[2022/05/18 16:58:30] ppcls INFO: dataset : +[2022/05/18 16:58:30] ppcls INFO: cls_label_path : ./dataset/Aliproduct/val_list.txt +[2022/05/18 16:58:30] ppcls INFO: image_root : ./dataset/Aliproduct/ +[2022/05/18 16:58:30] ppcls INFO: name : VeriWild +[2022/05/18 16:58:30] ppcls INFO: transform_ops : +[2022/05/18 16:58:30] ppcls INFO: DecodeImage : +[2022/05/18 16:58:30] ppcls INFO: channel_first : False +[2022/05/18 16:58:30] ppcls INFO: to_rgb : True +[2022/05/18 16:58:30] ppcls INFO: ResizeImage : +[2022/05/18 16:58:30] ppcls INFO: size : 224 +[2022/05/18 16:58:30] ppcls INFO: NormalizeImage : +[2022/05/18 16:58:30] ppcls INFO: mean : [0.485, 0.456, 0.406] +[2022/05/18 16:58:30] ppcls INFO: order : +[2022/05/18 16:58:30] ppcls INFO: scale : 0.00392157 +[2022/05/18 16:58:30] ppcls INFO: std : [0.229, 0.224, 0.225] +[2022/05/18 16:58:30] ppcls INFO: loader : +[2022/05/18 16:58:30] ppcls INFO: num_workers : 4 +[2022/05/18 16:58:30] ppcls INFO: use_shared_memory : True +[2022/05/18 16:58:30] ppcls INFO: sampler : +[2022/05/18 16:58:30] ppcls INFO: batch_size : 64 +[2022/05/18 16:58:30] ppcls INFO: drop_last : False +[2022/05/18 16:58:30] ppcls INFO: name : DistributedBatchSampler +[2022/05/18 16:58:30] ppcls INFO: shuffle : False +[2022/05/18 16:58:30] ppcls INFO: Train : +[2022/05/18 16:58:30] ppcls INFO: dataset : +[2022/05/18 16:58:30] ppcls INFO: cls_label_path : ./dataset/train_reg_all_data.txt +[2022/05/18 16:58:30] ppcls INFO: image_root : ./dataset/ +[2022/05/18 16:58:30] ppcls INFO: name : ImageNetDataset +[2022/05/18 16:58:30] ppcls INFO: transform_ops : +[2022/05/18 16:58:30] ppcls INFO: DecodeImage : +[2022/05/18 16:58:30] ppcls INFO: channel_first : False +[2022/05/18 16:58:30] ppcls INFO: to_rgb : True +[2022/05/18 16:58:30] ppcls INFO: RandCropImage : +[2022/05/18 16:58:30] ppcls INFO: size : 224 +[2022/05/18 16:58:30] ppcls INFO: RandFlipImage : +[2022/05/18 16:58:30] ppcls INFO: flip_code : 1 +[2022/05/18 16:58:30] ppcls INFO: NormalizeImage : +[2022/05/18 16:58:30] ppcls INFO: mean : [0.485, 0.456, 0.406] +[2022/05/18 16:58:30] ppcls INFO: order : +[2022/05/18 16:58:30] ppcls INFO: scale : 1.0/255.0 +[2022/05/18 16:58:30] ppcls INFO: std : [0.229, 0.224, 0.225] +[2022/05/18 16:58:30] ppcls INFO: loader : +[2022/05/18 16:58:30] ppcls INFO: num_workers : 4 +[2022/05/18 16:58:30] ppcls INFO: use_shared_memory : True +[2022/05/18 16:58:30] ppcls INFO: sampler : +[2022/05/18 16:58:30] ppcls INFO: batch_size : 256 +[2022/05/18 16:58:30] ppcls INFO: drop_last : False +[2022/05/18 16:58:30] ppcls INFO: name : DistributedBatchSampler +[2022/05/18 16:58:30] ppcls INFO: shuffle : True +[2022/05/18 16:58:30] ppcls INFO: Global : +[2022/05/18 16:58:30] ppcls INFO: checkpoints : None +[2022/05/18 16:58:30] ppcls INFO: device : gpu +[2022/05/18 16:58:30] ppcls INFO: epochs : 100 +[2022/05/18 16:58:30] ppcls INFO: eval_during_train : True +[2022/05/18 16:58:30] ppcls INFO: eval_interval : 1 +[2022/05/18 16:58:30] ppcls INFO: eval_mode : retrieval +[2022/05/18 16:58:30] ppcls INFO: image_shape : [3, 224, 224] +[2022/05/18 16:58:30] ppcls INFO: output_dir : ./output/ +[2022/05/18 16:58:30] ppcls INFO: pretrained_model : None +[2022/05/18 16:58:30] ppcls INFO: print_batch_step : 10 +[2022/05/18 16:58:30] ppcls INFO: save_inference_dir : ./inference +[2022/05/18 16:58:30] ppcls INFO: save_interval : 1 +[2022/05/18 16:58:30] ppcls INFO: to_static : False +[2022/05/18 16:58:30] ppcls INFO: use_dali : False +[2022/05/18 16:58:30] ppcls INFO: use_visualdl : False +[2022/05/18 16:58:30] ppcls INFO: Loss : +[2022/05/18 16:58:30] ppcls INFO: Eval : +[2022/05/18 16:58:30] ppcls INFO: CELoss : +[2022/05/18 16:58:30] ppcls INFO: weight : 1.0 +[2022/05/18 16:58:30] ppcls INFO: Train : +[2022/05/18 16:58:30] ppcls INFO: CELoss : +[2022/05/18 16:58:30] ppcls INFO: weight : 1.0 +[2022/05/18 16:58:30] ppcls INFO: Metric : +[2022/05/18 16:58:30] ppcls INFO: Eval : +[2022/05/18 16:58:30] ppcls INFO: Recallk : +[2022/05/18 16:58:30] ppcls INFO: topk : [1, 5] +[2022/05/18 16:58:30] ppcls INFO: Optimizer : +[2022/05/18 16:58:30] ppcls INFO: lr : +[2022/05/18 16:58:30] ppcls INFO: learning_rate : 0.04 +[2022/05/18 16:58:30] ppcls INFO: name : Cosine +[2022/05/18 16:58:30] ppcls INFO: warmup_epoch : 5 +[2022/05/18 16:58:30] ppcls INFO: momentum : 0.9 +[2022/05/18 16:58:30] ppcls INFO: name : Momentum +[2022/05/18 16:58:30] ppcls INFO: regularizer : +[2022/05/18 16:58:30] ppcls INFO: coeff : 1e-05 +[2022/05/18 16:58:30] ppcls INFO: name : L2 +[2022/05/18 16:58:30] ppcls INFO: profiler_options : None +[2022/05/18 16:58:30] ppcls INFO: train with paddle 2.3.0 and device Place(gpu:0) +[2022/05/18 16:59:37] ppcls INFO: +=========================================================== +== PaddleClas is powered by PaddlePaddle ! == +=========================================================== +== == +== For more info please go to the following website. == +== == +== https://github.com/PaddlePaddle/PaddleClas == +=========================================================== + +[2022/05/18 16:59:37] ppcls INFO: Arch : +[2022/05/18 16:59:37] ppcls INFO: Backbone : +[2022/05/18 16:59:37] ppcls INFO: name : PPLCNet_x2_5 +[2022/05/18 16:59:37] ppcls INFO: pretrained : True +[2022/05/18 16:59:37] ppcls INFO: use_ssld : True +[2022/05/18 16:59:37] ppcls INFO: BackboneStopLayer : +[2022/05/18 16:59:37] ppcls INFO: name : flatten +[2022/05/18 16:59:37] ppcls INFO: Head : +[2022/05/18 16:59:37] ppcls INFO: class_num : 185341 +[2022/05/18 16:59:37] ppcls INFO: embedding_size : 512 +[2022/05/18 16:59:37] ppcls INFO: margin : 0.2 +[2022/05/18 16:59:37] ppcls INFO: name : ArcMargin +[2022/05/18 16:59:37] ppcls INFO: scale : 30 +[2022/05/18 16:59:37] ppcls INFO: Neck : +[2022/05/18 16:59:37] ppcls INFO: class_num : 512 +[2022/05/18 16:59:37] ppcls INFO: embedding_size : 1280 +[2022/05/18 16:59:37] ppcls INFO: name : FC +[2022/05/18 16:59:37] ppcls INFO: infer_add_softmax : False +[2022/05/18 16:59:37] ppcls INFO: infer_output_key : features +[2022/05/18 16:59:37] ppcls INFO: name : RecModel +[2022/05/18 16:59:37] ppcls INFO: DataLoader : +[2022/05/18 16:59:37] ppcls INFO: Eval : +[2022/05/18 16:59:37] ppcls INFO: Gallery : +[2022/05/18 16:59:37] ppcls INFO: dataset : +[2022/05/18 16:59:37] ppcls INFO: cls_label_path : ./dataset/Aliproduct/val_list.txt +[2022/05/18 16:59:37] ppcls INFO: image_root : ./dataset/Aliproduct/ +[2022/05/18 16:59:37] ppcls INFO: name : VeriWild +[2022/05/18 16:59:37] ppcls INFO: transform_ops : +[2022/05/18 16:59:37] ppcls INFO: DecodeImage : +[2022/05/18 16:59:37] ppcls INFO: channel_first : False +[2022/05/18 16:59:37] ppcls INFO: to_rgb : True +[2022/05/18 16:59:37] ppcls INFO: ResizeImage : +[2022/05/18 16:59:37] ppcls INFO: size : 224 +[2022/05/18 16:59:37] ppcls INFO: NormalizeImage : +[2022/05/18 16:59:37] ppcls INFO: mean : [0.485, 0.456, 0.406] +[2022/05/18 16:59:37] ppcls INFO: order : +[2022/05/18 16:59:37] ppcls INFO: scale : 0.00392157 +[2022/05/18 16:59:37] ppcls INFO: std : [0.229, 0.224, 0.225] +[2022/05/18 16:59:37] ppcls INFO: loader : +[2022/05/18 16:59:37] ppcls INFO: num_workers : 4 +[2022/05/18 16:59:37] ppcls INFO: use_shared_memory : True +[2022/05/18 16:59:37] ppcls INFO: sampler : +[2022/05/18 16:59:37] ppcls INFO: batch_size : 64 +[2022/05/18 16:59:37] ppcls INFO: drop_last : False +[2022/05/18 16:59:37] ppcls INFO: name : DistributedBatchSampler +[2022/05/18 16:59:37] ppcls INFO: shuffle : False +[2022/05/18 16:59:37] ppcls INFO: Query : +[2022/05/18 16:59:37] ppcls INFO: dataset : +[2022/05/18 16:59:37] ppcls INFO: cls_label_path : ./dataset/Aliproduct/val_list.txt +[2022/05/18 16:59:37] ppcls INFO: image_root : ./dataset/Aliproduct/ +[2022/05/18 16:59:37] ppcls INFO: name : VeriWild +[2022/05/18 16:59:37] ppcls INFO: transform_ops : +[2022/05/18 16:59:37] ppcls INFO: DecodeImage : +[2022/05/18 16:59:37] ppcls INFO: channel_first : False +[2022/05/18 16:59:37] ppcls INFO: to_rgb : True +[2022/05/18 16:59:37] ppcls INFO: ResizeImage : +[2022/05/18 16:59:37] ppcls INFO: size : 224 +[2022/05/18 16:59:37] ppcls INFO: NormalizeImage : +[2022/05/18 16:59:37] ppcls INFO: mean : [0.485, 0.456, 0.406] +[2022/05/18 16:59:37] ppcls INFO: order : +[2022/05/18 16:59:37] ppcls INFO: scale : 0.00392157 +[2022/05/18 16:59:37] ppcls INFO: std : [0.229, 0.224, 0.225] +[2022/05/18 16:59:37] ppcls INFO: loader : +[2022/05/18 16:59:37] ppcls INFO: num_workers : 4 +[2022/05/18 16:59:37] ppcls INFO: use_shared_memory : True +[2022/05/18 16:59:37] ppcls INFO: sampler : +[2022/05/18 16:59:37] ppcls INFO: batch_size : 64 +[2022/05/18 16:59:37] ppcls INFO: drop_last : False +[2022/05/18 16:59:37] ppcls INFO: name : DistributedBatchSampler +[2022/05/18 16:59:37] ppcls INFO: shuffle : False +[2022/05/18 16:59:37] ppcls INFO: Train : +[2022/05/18 16:59:37] ppcls INFO: dataset : +[2022/05/18 16:59:37] ppcls INFO: cls_label_path : ./dataset/train_reg_all_data.txt +[2022/05/18 16:59:37] ppcls INFO: image_root : ./dataset/ +[2022/05/18 16:59:37] ppcls INFO: name : ImageNetDataset +[2022/05/18 16:59:37] ppcls INFO: transform_ops : +[2022/05/18 16:59:37] ppcls INFO: DecodeImage : +[2022/05/18 16:59:37] ppcls INFO: channel_first : False +[2022/05/18 16:59:37] ppcls INFO: to_rgb : True +[2022/05/18 16:59:37] ppcls INFO: RandCropImage : +[2022/05/18 16:59:37] ppcls INFO: size : 224 +[2022/05/18 16:59:37] ppcls INFO: RandFlipImage : +[2022/05/18 16:59:37] ppcls INFO: flip_code : 1 +[2022/05/18 16:59:37] ppcls INFO: NormalizeImage : +[2022/05/18 16:59:37] ppcls INFO: mean : [0.485, 0.456, 0.406] +[2022/05/18 16:59:37] ppcls INFO: order : +[2022/05/18 16:59:37] ppcls INFO: scale : 1.0/255.0 +[2022/05/18 16:59:37] ppcls INFO: std : [0.229, 0.224, 0.225] +[2022/05/18 16:59:37] ppcls INFO: loader : +[2022/05/18 16:59:37] ppcls INFO: num_workers : 4 +[2022/05/18 16:59:37] ppcls INFO: use_shared_memory : True +[2022/05/18 16:59:37] ppcls INFO: sampler : +[2022/05/18 16:59:37] ppcls INFO: batch_size : 256 +[2022/05/18 16:59:37] ppcls INFO: drop_last : False +[2022/05/18 16:59:37] ppcls INFO: name : DistributedBatchSampler +[2022/05/18 16:59:37] ppcls INFO: shuffle : True +[2022/05/18 16:59:37] ppcls INFO: Global : +[2022/05/18 16:59:37] ppcls INFO: checkpoints : None +[2022/05/18 16:59:37] ppcls INFO: device : gpu +[2022/05/18 16:59:37] ppcls INFO: epochs : 100 +[2022/05/18 16:59:37] ppcls INFO: eval_during_train : True +[2022/05/18 16:59:37] ppcls INFO: eval_interval : 1 +[2022/05/18 16:59:37] ppcls INFO: eval_mode : retrieval +[2022/05/18 16:59:37] ppcls INFO: image_shape : [3, 224, 224] +[2022/05/18 16:59:37] ppcls INFO: output_dir : ./output/ +[2022/05/18 16:59:37] ppcls INFO: pretrained_model : None +[2022/05/18 16:59:37] ppcls INFO: print_batch_step : 10 +[2022/05/18 16:59:37] ppcls INFO: save_inference_dir : ./inference +[2022/05/18 16:59:37] ppcls INFO: save_interval : 1 +[2022/05/18 16:59:37] ppcls INFO: to_static : False +[2022/05/18 16:59:37] ppcls INFO: use_dali : False +[2022/05/18 16:59:37] ppcls INFO: use_visualdl : False +[2022/05/18 16:59:37] ppcls INFO: Loss : +[2022/05/18 16:59:37] ppcls INFO: Eval : +[2022/05/18 16:59:37] ppcls INFO: CELoss : +[2022/05/18 16:59:37] ppcls INFO: weight : 1.0 +[2022/05/18 16:59:37] ppcls INFO: Train : +[2022/05/18 16:59:37] ppcls INFO: CELoss : +[2022/05/18 16:59:37] ppcls INFO: weight : 1.0 +[2022/05/18 16:59:37] ppcls INFO: Metric : +[2022/05/18 16:59:37] ppcls INFO: Eval : +[2022/05/18 16:59:37] ppcls INFO: Recallk : +[2022/05/18 16:59:37] ppcls INFO: topk : [1, 5] +[2022/05/18 16:59:37] ppcls INFO: Optimizer : +[2022/05/18 16:59:37] ppcls INFO: lr : +[2022/05/18 16:59:37] ppcls INFO: learning_rate : 0.04 +[2022/05/18 16:59:37] ppcls INFO: name : Cosine +[2022/05/18 16:59:37] ppcls INFO: warmup_epoch : 5 +[2022/05/18 16:59:37] ppcls INFO: momentum : 0.9 +[2022/05/18 16:59:37] ppcls INFO: name : Momentum +[2022/05/18 16:59:37] ppcls INFO: regularizer : +[2022/05/18 16:59:37] ppcls INFO: coeff : 1e-05 +[2022/05/18 16:59:37] ppcls INFO: name : L2 +[2022/05/18 16:59:37] ppcls INFO: profiler_options : None +[2022/05/18 16:59:37] ppcls INFO: train with paddle 2.3.0 and device Place(gpu:0) +[2022/05/18 16:59:46] ppcls INFO: +=========================================================== +== PaddleClas is powered by PaddlePaddle ! == +=========================================================== +== == +== For more info please go to the following website. == +== == +== https://github.com/PaddlePaddle/PaddleClas == +=========================================================== + +[2022/05/18 16:59:46] ppcls INFO: Arch : +[2022/05/18 16:59:46] ppcls INFO: Backbone : +[2022/05/18 16:59:46] ppcls INFO: name : PPLCNet_x2_5 +[2022/05/18 16:59:46] ppcls INFO: pretrained : True +[2022/05/18 16:59:46] ppcls INFO: use_ssld : True +[2022/05/18 16:59:46] ppcls INFO: BackboneStopLayer : +[2022/05/18 16:59:46] ppcls INFO: name : flatten +[2022/05/18 16:59:46] ppcls INFO: Head : +[2022/05/18 16:59:46] ppcls INFO: class_num : 185341 +[2022/05/18 16:59:46] ppcls INFO: embedding_size : 512 +[2022/05/18 16:59:46] ppcls INFO: margin : 0.2 +[2022/05/18 16:59:46] ppcls INFO: name : ArcMargin +[2022/05/18 16:59:46] ppcls INFO: scale : 30 +[2022/05/18 16:59:46] ppcls INFO: Neck : +[2022/05/18 16:59:46] ppcls INFO: class_num : 512 +[2022/05/18 16:59:46] ppcls INFO: embedding_size : 1280 +[2022/05/18 16:59:46] ppcls INFO: name : FC +[2022/05/18 16:59:46] ppcls INFO: infer_add_softmax : False +[2022/05/18 16:59:46] ppcls INFO: infer_output_key : features +[2022/05/18 16:59:46] ppcls INFO: name : RecModel +[2022/05/18 16:59:46] ppcls INFO: DataLoader : +[2022/05/18 16:59:46] ppcls INFO: Eval : +[2022/05/18 16:59:46] ppcls INFO: Gallery : +[2022/05/18 16:59:46] ppcls INFO: dataset : +[2022/05/18 16:59:46] ppcls INFO: cls_label_path : ./dataset/Aliproduct/val_list.txt +[2022/05/18 16:59:46] ppcls INFO: image_root : ./dataset/Aliproduct/ +[2022/05/18 16:59:46] ppcls INFO: name : VeriWild +[2022/05/18 16:59:46] ppcls INFO: transform_ops : +[2022/05/18 16:59:46] ppcls INFO: DecodeImage : +[2022/05/18 16:59:46] ppcls INFO: channel_first : False +[2022/05/18 16:59:46] ppcls INFO: to_rgb : True +[2022/05/18 16:59:46] ppcls INFO: ResizeImage : +[2022/05/18 16:59:46] ppcls INFO: size : 224 +[2022/05/18 16:59:46] ppcls INFO: NormalizeImage : +[2022/05/18 16:59:46] ppcls INFO: mean : [0.485, 0.456, 0.406] +[2022/05/18 16:59:46] ppcls INFO: order : +[2022/05/18 16:59:46] ppcls INFO: scale : 0.00392157 +[2022/05/18 16:59:46] ppcls INFO: std : [0.229, 0.224, 0.225] +[2022/05/18 16:59:46] ppcls INFO: loader : +[2022/05/18 16:59:46] ppcls INFO: num_workers : 4 +[2022/05/18 16:59:46] ppcls INFO: use_shared_memory : True +[2022/05/18 16:59:46] ppcls INFO: sampler : +[2022/05/18 16:59:46] ppcls INFO: batch_size : 64 +[2022/05/18 16:59:46] ppcls INFO: drop_last : False +[2022/05/18 16:59:46] ppcls INFO: name : DistributedBatchSampler +[2022/05/18 16:59:46] ppcls INFO: shuffle : False +[2022/05/18 16:59:46] ppcls INFO: Query : +[2022/05/18 16:59:46] ppcls INFO: dataset : +[2022/05/18 16:59:46] ppcls INFO: cls_label_path : ./dataset/Aliproduct/val_list.txt +[2022/05/18 16:59:46] ppcls INFO: image_root : ./dataset/Aliproduct/ +[2022/05/18 16:59:46] ppcls INFO: name : VeriWild +[2022/05/18 16:59:46] ppcls INFO: transform_ops : +[2022/05/18 16:59:46] ppcls INFO: DecodeImage : +[2022/05/18 16:59:46] ppcls INFO: channel_first : False +[2022/05/18 16:59:46] ppcls INFO: to_rgb : True +[2022/05/18 16:59:46] ppcls INFO: ResizeImage : +[2022/05/18 16:59:46] ppcls INFO: size : 224 +[2022/05/18 16:59:46] ppcls INFO: NormalizeImage : +[2022/05/18 16:59:46] ppcls INFO: mean : [0.485, 0.456, 0.406] +[2022/05/18 16:59:46] ppcls INFO: order : +[2022/05/18 16:59:46] ppcls INFO: scale : 0.00392157 +[2022/05/18 16:59:46] ppcls INFO: std : [0.229, 0.224, 0.225] +[2022/05/18 16:59:46] ppcls INFO: loader : +[2022/05/18 16:59:46] ppcls INFO: num_workers : 4 +[2022/05/18 16:59:46] ppcls INFO: use_shared_memory : True +[2022/05/18 16:59:46] ppcls INFO: sampler : +[2022/05/18 16:59:46] ppcls INFO: batch_size : 64 +[2022/05/18 16:59:46] ppcls INFO: drop_last : False +[2022/05/18 16:59:46] ppcls INFO: name : DistributedBatchSampler +[2022/05/18 16:59:46] ppcls INFO: shuffle : False +[2022/05/18 16:59:46] ppcls INFO: Train : +[2022/05/18 16:59:46] ppcls INFO: dataset : +[2022/05/18 16:59:46] ppcls INFO: cls_label_path : ./dataset/train_reg_all_data.txt +[2022/05/18 16:59:46] ppcls INFO: image_root : ./dataset/ +[2022/05/18 16:59:46] ppcls INFO: name : ImageNetDataset +[2022/05/18 16:59:46] ppcls INFO: transform_ops : +[2022/05/18 16:59:46] ppcls INFO: DecodeImage : +[2022/05/18 16:59:46] ppcls INFO: channel_first : False +[2022/05/18 16:59:46] ppcls INFO: to_rgb : True +[2022/05/18 16:59:46] ppcls INFO: RandCropImage : +[2022/05/18 16:59:46] ppcls INFO: size : 224 +[2022/05/18 16:59:46] ppcls INFO: RandFlipImage : +[2022/05/18 16:59:46] ppcls INFO: flip_code : 1 +[2022/05/18 16:59:46] ppcls INFO: NormalizeImage : +[2022/05/18 16:59:46] ppcls INFO: mean : [0.485, 0.456, 0.406] +[2022/05/18 16:59:46] ppcls INFO: order : +[2022/05/18 16:59:46] ppcls INFO: scale : 1.0/255.0 +[2022/05/18 16:59:46] ppcls INFO: std : [0.229, 0.224, 0.225] +[2022/05/18 16:59:46] ppcls INFO: loader : +[2022/05/18 16:59:46] ppcls INFO: num_workers : 4 +[2022/05/18 16:59:46] ppcls INFO: use_shared_memory : True +[2022/05/18 16:59:46] ppcls INFO: sampler : +[2022/05/18 16:59:46] ppcls INFO: batch_size : 256 +[2022/05/18 16:59:46] ppcls INFO: drop_last : False +[2022/05/18 16:59:46] ppcls INFO: name : DistributedBatchSampler +[2022/05/18 16:59:46] ppcls INFO: shuffle : True +[2022/05/18 16:59:46] ppcls INFO: Global : +[2022/05/18 16:59:46] ppcls INFO: checkpoints : None +[2022/05/18 16:59:46] ppcls INFO: device : gpu +[2022/05/18 16:59:46] ppcls INFO: epochs : 100 +[2022/05/18 16:59:46] ppcls INFO: eval_during_train : True +[2022/05/18 16:59:46] ppcls INFO: eval_interval : 1 +[2022/05/18 16:59:46] ppcls INFO: eval_mode : retrieval +[2022/05/18 16:59:46] ppcls INFO: image_shape : [3, 224, 224] +[2022/05/18 16:59:46] ppcls INFO: output_dir : ./output/ +[2022/05/18 16:59:46] ppcls INFO: pretrained_model : None +[2022/05/18 16:59:46] ppcls INFO: print_batch_step : 10 +[2022/05/18 16:59:46] ppcls INFO: save_inference_dir : ./inference +[2022/05/18 16:59:46] ppcls INFO: save_interval : 1 +[2022/05/18 16:59:46] ppcls INFO: to_static : False +[2022/05/18 16:59:46] ppcls INFO: use_dali : False +[2022/05/18 16:59:46] ppcls INFO: use_visualdl : False +[2022/05/18 16:59:46] ppcls INFO: Loss : +[2022/05/18 16:59:46] ppcls INFO: Eval : +[2022/05/18 16:59:46] ppcls INFO: CELoss : +[2022/05/18 16:59:46] ppcls INFO: weight : 1.0 +[2022/05/18 16:59:46] ppcls INFO: Train : +[2022/05/18 16:59:46] ppcls INFO: CELoss : +[2022/05/18 16:59:46] ppcls INFO: weight : 1.0 +[2022/05/18 16:59:46] ppcls INFO: Metric : +[2022/05/18 16:59:46] ppcls INFO: Eval : +[2022/05/18 16:59:46] ppcls INFO: Recallk : +[2022/05/18 16:59:46] ppcls INFO: topk : [1, 5] +[2022/05/18 16:59:46] ppcls INFO: Optimizer : +[2022/05/18 16:59:46] ppcls INFO: lr : +[2022/05/18 16:59:46] ppcls INFO: learning_rate : 0.04 +[2022/05/18 16:59:46] ppcls INFO: name : Cosine +[2022/05/18 16:59:46] ppcls INFO: warmup_epoch : 5 +[2022/05/18 16:59:46] ppcls INFO: momentum : 0.9 +[2022/05/18 16:59:46] ppcls INFO: name : Momentum +[2022/05/18 16:59:46] ppcls INFO: regularizer : +[2022/05/18 16:59:46] ppcls INFO: coeff : 1e-05 +[2022/05/18 16:59:46] ppcls INFO: name : L2 +[2022/05/18 16:59:46] ppcls INFO: profiler_options : None +[2022/05/18 16:59:46] ppcls INFO: train with paddle 2.3.0 and device Place(gpu:0) +[2022/05/18 17:01:22] ppcls INFO: +=========================================================== +== PaddleClas is powered by PaddlePaddle ! == +=========================================================== +== == +== For more info please go to the following website. == +== == +== https://github.com/PaddlePaddle/PaddleClas == +=========================================================== + +[2022/05/18 17:01:22] ppcls INFO: Arch : +[2022/05/18 17:01:22] ppcls INFO: Backbone : +[2022/05/18 17:01:22] ppcls INFO: name : PPLCNet_x2_5 +[2022/05/18 17:01:22] ppcls INFO: pretrained : True +[2022/05/18 17:01:22] ppcls INFO: use_ssld : True +[2022/05/18 17:01:22] ppcls INFO: BackboneStopLayer : +[2022/05/18 17:01:22] ppcls INFO: name : flatten +[2022/05/18 17:01:22] ppcls INFO: Head : +[2022/05/18 17:01:22] ppcls INFO: class_num : 185341 +[2022/05/18 17:01:22] ppcls INFO: embedding_size : 512 +[2022/05/18 17:01:22] ppcls INFO: margin : 0.2 +[2022/05/18 17:01:22] ppcls INFO: name : ArcMargin +[2022/05/18 17:01:22] ppcls INFO: scale : 30 +[2022/05/18 17:01:22] ppcls INFO: Neck : +[2022/05/18 17:01:22] ppcls INFO: class_num : 512 +[2022/05/18 17:01:22] ppcls INFO: embedding_size : 1280 +[2022/05/18 17:01:22] ppcls INFO: name : FC +[2022/05/18 17:01:22] ppcls INFO: infer_add_softmax : False +[2022/05/18 17:01:22] ppcls INFO: infer_output_key : features +[2022/05/18 17:01:22] ppcls INFO: name : RecModel +[2022/05/18 17:01:22] ppcls INFO: DataLoader : +[2022/05/18 17:01:22] ppcls INFO: Eval : +[2022/05/18 17:01:22] ppcls INFO: Gallery : +[2022/05/18 17:01:22] ppcls INFO: dataset : +[2022/05/18 17:01:22] ppcls INFO: cls_label_path : ./dataset/Aliproduct/val_list.txt +[2022/05/18 17:01:22] ppcls INFO: image_root : ./dataset/Aliproduct/ +[2022/05/18 17:01:22] ppcls INFO: name : VeriWild +[2022/05/18 17:01:22] ppcls INFO: transform_ops : +[2022/05/18 17:01:22] ppcls INFO: DecodeImage : +[2022/05/18 17:01:22] ppcls INFO: channel_first : False +[2022/05/18 17:01:22] ppcls INFO: to_rgb : True +[2022/05/18 17:01:22] ppcls INFO: ResizeImage : +[2022/05/18 17:01:22] ppcls INFO: size : 224 +[2022/05/18 17:01:22] ppcls INFO: NormalizeImage : +[2022/05/18 17:01:22] ppcls INFO: mean : [0.485, 0.456, 0.406] +[2022/05/18 17:01:22] ppcls INFO: order : +[2022/05/18 17:01:22] ppcls INFO: scale : 0.00392157 +[2022/05/18 17:01:22] ppcls INFO: std : [0.229, 0.224, 0.225] +[2022/05/18 17:01:22] ppcls INFO: loader : +[2022/05/18 17:01:22] ppcls INFO: num_workers : 4 +[2022/05/18 17:01:22] ppcls INFO: use_shared_memory : True +[2022/05/18 17:01:22] ppcls INFO: sampler : +[2022/05/18 17:01:22] ppcls INFO: batch_size : 64 +[2022/05/18 17:01:22] ppcls INFO: drop_last : False +[2022/05/18 17:01:22] ppcls INFO: name : DistributedBatchSampler +[2022/05/18 17:01:22] ppcls INFO: shuffle : False +[2022/05/18 17:01:22] ppcls INFO: Query : +[2022/05/18 17:01:22] ppcls INFO: dataset : +[2022/05/18 17:01:22] ppcls INFO: cls_label_path : ./dataset/Aliproduct/val_list.txt +[2022/05/18 17:01:22] ppcls INFO: image_root : ./dataset/Aliproduct/ +[2022/05/18 17:01:22] ppcls INFO: name : VeriWild +[2022/05/18 17:01:22] ppcls INFO: transform_ops : +[2022/05/18 17:01:22] ppcls INFO: DecodeImage : +[2022/05/18 17:01:22] ppcls INFO: channel_first : False +[2022/05/18 17:01:22] ppcls INFO: to_rgb : True +[2022/05/18 17:01:22] ppcls INFO: ResizeImage : +[2022/05/18 17:01:22] ppcls INFO: size : 224 +[2022/05/18 17:01:22] ppcls INFO: NormalizeImage : +[2022/05/18 17:01:22] ppcls INFO: mean : [0.485, 0.456, 0.406] +[2022/05/18 17:01:22] ppcls INFO: order : +[2022/05/18 17:01:22] ppcls INFO: scale : 0.00392157 +[2022/05/18 17:01:22] ppcls INFO: std : [0.229, 0.224, 0.225] +[2022/05/18 17:01:22] ppcls INFO: loader : +[2022/05/18 17:01:22] ppcls INFO: num_workers : 4 +[2022/05/18 17:01:22] ppcls INFO: use_shared_memory : True +[2022/05/18 17:01:22] ppcls INFO: sampler : +[2022/05/18 17:01:22] ppcls INFO: batch_size : 64 +[2022/05/18 17:01:22] ppcls INFO: drop_last : False +[2022/05/18 17:01:22] ppcls INFO: name : DistributedBatchSampler +[2022/05/18 17:01:22] ppcls INFO: shuffle : False +[2022/05/18 17:01:22] ppcls INFO: Train : +[2022/05/18 17:01:22] ppcls INFO: dataset : +[2022/05/18 17:01:22] ppcls INFO: cls_label_path : ./dataset/train_reg_all_data.txt +[2022/05/18 17:01:22] ppcls INFO: image_root : ./dataset/ +[2022/05/18 17:01:22] ppcls INFO: name : ImageNetDataset +[2022/05/18 17:01:22] ppcls INFO: transform_ops : +[2022/05/18 17:01:22] ppcls INFO: DecodeImage : +[2022/05/18 17:01:22] ppcls INFO: channel_first : False +[2022/05/18 17:01:22] ppcls INFO: to_rgb : True +[2022/05/18 17:01:22] ppcls INFO: RandCropImage : +[2022/05/18 17:01:22] ppcls INFO: size : 224 +[2022/05/18 17:01:22] ppcls INFO: RandFlipImage : +[2022/05/18 17:01:22] ppcls INFO: flip_code : 1 +[2022/05/18 17:01:22] ppcls INFO: NormalizeImage : +[2022/05/18 17:01:22] ppcls INFO: mean : [0.485, 0.456, 0.406] +[2022/05/18 17:01:22] ppcls INFO: order : +[2022/05/18 17:01:22] ppcls INFO: scale : 1.0/255.0 +[2022/05/18 17:01:22] ppcls INFO: std : [0.229, 0.224, 0.225] +[2022/05/18 17:01:22] ppcls INFO: loader : +[2022/05/18 17:01:22] ppcls INFO: num_workers : 4 +[2022/05/18 17:01:22] ppcls INFO: use_shared_memory : True +[2022/05/18 17:01:22] ppcls INFO: sampler : +[2022/05/18 17:01:22] ppcls INFO: batch_size : 256 +[2022/05/18 17:01:22] ppcls INFO: drop_last : False +[2022/05/18 17:01:22] ppcls INFO: name : DistributedBatchSampler +[2022/05/18 17:01:22] ppcls INFO: shuffle : True +[2022/05/18 17:01:22] ppcls INFO: Global : +[2022/05/18 17:01:22] ppcls INFO: checkpoints : None +[2022/05/18 17:01:22] ppcls INFO: device : gpu +[2022/05/18 17:01:22] ppcls INFO: epochs : 100 +[2022/05/18 17:01:22] ppcls INFO: eval_during_train : True +[2022/05/18 17:01:22] ppcls INFO: eval_interval : 1 +[2022/05/18 17:01:22] ppcls INFO: eval_mode : retrieval +[2022/05/18 17:01:22] ppcls INFO: image_shape : [3, 224, 224] +[2022/05/18 17:01:22] ppcls INFO: output_dir : ./output/ +[2022/05/18 17:01:22] ppcls INFO: pretrained_model : None +[2022/05/18 17:01:22] ppcls INFO: print_batch_step : 10 +[2022/05/18 17:01:22] ppcls INFO: save_inference_dir : ./inference +[2022/05/18 17:01:22] ppcls INFO: save_interval : 1 +[2022/05/18 17:01:22] ppcls INFO: to_static : False +[2022/05/18 17:01:22] ppcls INFO: use_dali : False +[2022/05/18 17:01:22] ppcls INFO: use_visualdl : False +[2022/05/18 17:01:22] ppcls INFO: Loss : +[2022/05/18 17:01:22] ppcls INFO: Eval : +[2022/05/18 17:01:22] ppcls INFO: CELoss : +[2022/05/18 17:01:22] ppcls INFO: weight : 1.0 +[2022/05/18 17:01:22] ppcls INFO: Train : +[2022/05/18 17:01:22] ppcls INFO: CELoss : +[2022/05/18 17:01:22] ppcls INFO: weight : 1.0 +[2022/05/18 17:01:22] ppcls INFO: Metric : +[2022/05/18 17:01:22] ppcls INFO: Eval : +[2022/05/18 17:01:22] ppcls INFO: Recallk : +[2022/05/18 17:01:22] ppcls INFO: topk : [1, 5] +[2022/05/18 17:01:22] ppcls INFO: Optimizer : +[2022/05/18 17:01:22] ppcls INFO: lr : +[2022/05/18 17:01:22] ppcls INFO: learning_rate : 0.04 +[2022/05/18 17:01:22] ppcls INFO: name : Cosine +[2022/05/18 17:01:22] ppcls INFO: warmup_epoch : 5 +[2022/05/18 17:01:22] ppcls INFO: momentum : 0.9 +[2022/05/18 17:01:22] ppcls INFO: name : Momentum +[2022/05/18 17:01:22] ppcls INFO: regularizer : +[2022/05/18 17:01:22] ppcls INFO: coeff : 1e-05 +[2022/05/18 17:01:22] ppcls INFO: name : L2 +[2022/05/18 17:01:22] ppcls INFO: profiler_options : None +[2022/05/18 17:01:22] ppcls INFO: train with paddle 2.3.0 and device Place(gpu:0) +[2022/05/18 17:05:02] ppcls INFO: +=========================================================== +== PaddleClas is powered by PaddlePaddle ! == +=========================================================== +== == +== For more info please go to the following website. == +== == +== https://github.com/PaddlePaddle/PaddleClas == +=========================================================== + +[2022/05/18 17:05:02] ppcls INFO: Arch : +[2022/05/18 17:05:02] ppcls INFO: Backbone : +[2022/05/18 17:05:02] ppcls INFO: name : PPLCNet_x2_5 +[2022/05/18 17:05:02] ppcls INFO: pretrained : True +[2022/05/18 17:05:02] ppcls INFO: use_ssld : True +[2022/05/18 17:05:02] ppcls INFO: BackboneStopLayer : +[2022/05/18 17:05:02] ppcls INFO: name : flatten +[2022/05/18 17:05:02] ppcls INFO: Head : +[2022/05/18 17:05:02] ppcls INFO: class_num : 2389 +[2022/05/18 17:05:02] ppcls INFO: embedding_size : 1280 +[2022/05/18 17:05:02] ppcls INFO: margin : 0.2 +[2022/05/18 17:05:02] ppcls INFO: name : ArcMargin +[2022/05/18 17:05:02] ppcls INFO: scale : 30 +[2022/05/18 17:05:02] ppcls INFO: Neck : +[2022/05/18 17:05:02] ppcls INFO: class_num : 1280 +[2022/05/18 17:05:02] ppcls INFO: embedding_size : 1280 +[2022/05/18 17:05:02] ppcls INFO: name : FC +[2022/05/18 17:05:02] ppcls INFO: infer_add_softmax : False +[2022/05/18 17:05:02] ppcls INFO: infer_output_key : features +[2022/05/18 17:05:02] ppcls INFO: name : RecModel +[2022/05/18 17:05:02] ppcls INFO: DataLoader : +[2022/05/18 17:05:02] ppcls INFO: Eval : +[2022/05/18 17:05:02] ppcls INFO: Gallery : +[2022/05/18 17:05:02] ppcls INFO: dataset : +[2022/05/18 17:05:02] ppcls INFO: cls_label_path : /home/aistudio/PaddleClas/dataset/dataset/all/test_list.txt +[2022/05/18 17:05:02] ppcls INFO: image_root : /home/aistudio/PaddleClas/dataset/dataset/all/ +[2022/05/18 17:05:02] ppcls INFO: name : VeriWild +[2022/05/18 17:05:02] ppcls INFO: transform_ops : +[2022/05/18 17:05:02] ppcls INFO: DecodeImage : +[2022/05/18 17:05:02] ppcls INFO: channel_first : False +[2022/05/18 17:05:02] ppcls INFO: to_rgb : True +[2022/05/18 17:05:02] ppcls INFO: ResizeImage : +[2022/05/18 17:05:02] ppcls INFO: size : 224 +[2022/05/18 17:05:02] ppcls INFO: NormalizeImage : +[2022/05/18 17:05:02] ppcls INFO: mean : [0.485, 0.456, 0.406] +[2022/05/18 17:05:02] ppcls INFO: order : +[2022/05/18 17:05:02] ppcls INFO: scale : 0.00392157 +[2022/05/18 17:05:02] ppcls INFO: std : [0.229, 0.224, 0.225] +[2022/05/18 17:05:02] ppcls INFO: loader : +[2022/05/18 17:05:02] ppcls INFO: num_workers : 4 +[2022/05/18 17:05:02] ppcls INFO: use_shared_memory : True +[2022/05/18 17:05:02] ppcls INFO: sampler : +[2022/05/18 17:05:02] ppcls INFO: batch_size : 64 +[2022/05/18 17:05:02] ppcls INFO: drop_last : False +[2022/05/18 17:05:02] ppcls INFO: name : DistributedBatchSampler +[2022/05/18 17:05:02] ppcls INFO: shuffle : False +[2022/05/18 17:05:02] ppcls INFO: Query : +[2022/05/18 17:05:02] ppcls INFO: dataset : +[2022/05/18 17:05:02] ppcls INFO: cls_label_path : /home/aistudio/PaddleClas/dataset/dataset/all/test_list.txt +[2022/05/18 17:05:02] ppcls INFO: image_root : /home/aistudio/PaddleClas/dataset/dataset/all/ +[2022/05/18 17:05:02] ppcls INFO: name : VeriWild +[2022/05/18 17:05:02] ppcls INFO: transform_ops : +[2022/05/18 17:05:02] ppcls INFO: DecodeImage : +[2022/05/18 17:05:02] ppcls INFO: channel_first : False +[2022/05/18 17:05:02] ppcls INFO: to_rgb : True +[2022/05/18 17:05:02] ppcls INFO: ResizeImage : +[2022/05/18 17:05:02] ppcls INFO: size : 224 +[2022/05/18 17:05:02] ppcls INFO: NormalizeImage : +[2022/05/18 17:05:02] ppcls INFO: mean : [0.485, 0.456, 0.406] +[2022/05/18 17:05:02] ppcls INFO: order : +[2022/05/18 17:05:02] ppcls INFO: scale : 0.00392157 +[2022/05/18 17:05:02] ppcls INFO: std : [0.229, 0.224, 0.225] +[2022/05/18 17:05:02] ppcls INFO: loader : +[2022/05/18 17:05:02] ppcls INFO: num_workers : 4 +[2022/05/18 17:05:02] ppcls INFO: use_shared_memory : True +[2022/05/18 17:05:02] ppcls INFO: sampler : +[2022/05/18 17:05:02] ppcls INFO: batch_size : 64 +[2022/05/18 17:05:02] ppcls INFO: drop_last : False +[2022/05/18 17:05:02] ppcls INFO: name : DistributedBatchSampler +[2022/05/18 17:05:02] ppcls INFO: shuffle : False +[2022/05/18 17:05:02] ppcls INFO: Train : +[2022/05/18 17:05:02] ppcls INFO: dataset : +[2022/05/18 17:05:02] ppcls INFO: cls_label_path : PaddleClas/dataset/dataset/all/train +[2022/05/18 17:05:02] ppcls INFO: image_root : /home/aistudio/PaddleClas/dataset/dataset/all/ +[2022/05/18 17:05:02] ppcls INFO: name : ImageNetDataset +[2022/05/18 17:05:02] ppcls INFO: transform_ops : +[2022/05/18 17:05:02] ppcls INFO: DecodeImage : +[2022/05/18 17:05:02] ppcls INFO: channel_first : False +[2022/05/18 17:05:02] ppcls INFO: to_rgb : True +[2022/05/18 17:05:02] ppcls INFO: RandCropImage : +[2022/05/18 17:05:02] ppcls INFO: size : 224 +[2022/05/18 17:05:02] ppcls INFO: RandFlipImage : +[2022/05/18 17:05:02] ppcls INFO: flip_code : 1 +[2022/05/18 17:05:02] ppcls INFO: NormalizeImage : +[2022/05/18 17:05:02] ppcls INFO: mean : [0.485, 0.456, 0.406] +[2022/05/18 17:05:02] ppcls INFO: order : +[2022/05/18 17:05:02] ppcls INFO: scale : 1.0/255.0 +[2022/05/18 17:05:02] ppcls INFO: std : [0.229, 0.224, 0.225] +[2022/05/18 17:05:02] ppcls INFO: loader : +[2022/05/18 17:05:02] ppcls INFO: num_workers : 4 +[2022/05/18 17:05:02] ppcls INFO: use_shared_memory : True +[2022/05/18 17:05:02] ppcls INFO: sampler : +[2022/05/18 17:05:02] ppcls INFO: batch_size : 256 +[2022/05/18 17:05:02] ppcls INFO: drop_last : False +[2022/05/18 17:05:02] ppcls INFO: name : DistributedBatchSampler +[2022/05/18 17:05:02] ppcls INFO: shuffle : True +[2022/05/18 17:05:02] ppcls INFO: Global : +[2022/05/18 17:05:02] ppcls INFO: checkpoints : None +[2022/05/18 17:05:02] ppcls INFO: device : gpu +[2022/05/18 17:05:02] ppcls INFO: epochs : 30 +[2022/05/18 17:05:02] ppcls INFO: eval_during_train : True +[2022/05/18 17:05:02] ppcls INFO: eval_interval : 1 +[2022/05/18 17:05:02] ppcls INFO: eval_mode : retrieval +[2022/05/18 17:05:02] ppcls INFO: image_shape : [3, 224, 224] +[2022/05/18 17:05:02] ppcls INFO: output_dir : ./output/ +[2022/05/18 17:05:02] ppcls INFO: pretrained_model : None +[2022/05/18 17:05:02] ppcls INFO: print_batch_step : 10 +[2022/05/18 17:05:02] ppcls INFO: save_inference_dir : ./inference +[2022/05/18 17:05:02] ppcls INFO: save_interval : 1 +[2022/05/18 17:05:02] ppcls INFO: to_static : False +[2022/05/18 17:05:02] ppcls INFO: use_dali : False +[2022/05/18 17:05:02] ppcls INFO: use_visualdl : False +[2022/05/18 17:05:02] ppcls INFO: Loss : +[2022/05/18 17:05:02] ppcls INFO: Eval : +[2022/05/18 17:05:02] ppcls INFO: CELoss : +[2022/05/18 17:05:02] ppcls INFO: weight : 1.0 +[2022/05/18 17:05:02] ppcls INFO: Train : +[2022/05/18 17:05:02] ppcls INFO: CELoss : +[2022/05/18 17:05:02] ppcls INFO: weight : 1.0 +[2022/05/18 17:05:02] ppcls INFO: Metric : +[2022/05/18 17:05:02] ppcls INFO: Eval : +[2022/05/18 17:05:02] ppcls INFO: Recallk : +[2022/05/18 17:05:02] ppcls INFO: topk : [1, 5] +[2022/05/18 17:05:02] ppcls INFO: Optimizer : +[2022/05/18 17:05:02] ppcls INFO: lr : +[2022/05/18 17:05:02] ppcls INFO: learning_rate : 0.04 +[2022/05/18 17:05:02] ppcls INFO: name : Cosine +[2022/05/18 17:05:02] ppcls INFO: warmup_epoch : 5 +[2022/05/18 17:05:02] ppcls INFO: momentum : 0.9 +[2022/05/18 17:05:02] ppcls INFO: name : Momentum +[2022/05/18 17:05:02] ppcls INFO: regularizer : +[2022/05/18 17:05:02] ppcls INFO: coeff : 1e-05 +[2022/05/18 17:05:02] ppcls INFO: name : L2 +[2022/05/18 17:05:02] ppcls INFO: profiler_options : None +[2022/05/18 17:05:02] ppcls INFO: train with paddle 2.3.0 and device Place(gpu:0) +[2022/05/18 17:05:54] ppcls INFO: +=========================================================== +== PaddleClas is powered by PaddlePaddle ! == +=========================================================== +== == +== For more info please go to the following website. == +== == +== https://github.com/PaddlePaddle/PaddleClas == +=========================================================== + +[2022/05/18 17:05:54] ppcls INFO: Arch : +[2022/05/18 17:05:54] ppcls INFO: Backbone : +[2022/05/18 17:05:54] ppcls INFO: name : PPLCNet_x2_5 +[2022/05/18 17:05:54] ppcls INFO: pretrained : True +[2022/05/18 17:05:54] ppcls INFO: use_ssld : True +[2022/05/18 17:05:54] ppcls INFO: BackboneStopLayer : +[2022/05/18 17:05:54] ppcls INFO: name : flatten +[2022/05/18 17:05:54] ppcls INFO: Head : +[2022/05/18 17:05:54] ppcls INFO: class_num : 2389 +[2022/05/18 17:05:54] ppcls INFO: embedding_size : 1280 +[2022/05/18 17:05:54] ppcls INFO: margin : 0.2 +[2022/05/18 17:05:54] ppcls INFO: name : ArcMargin +[2022/05/18 17:05:54] ppcls INFO: scale : 30 +[2022/05/18 17:05:54] ppcls INFO: Neck : +[2022/05/18 17:05:54] ppcls INFO: class_num : 1280 +[2022/05/18 17:05:54] ppcls INFO: embedding_size : 1280 +[2022/05/18 17:05:54] ppcls INFO: name : FC +[2022/05/18 17:05:54] ppcls INFO: infer_add_softmax : False +[2022/05/18 17:05:54] ppcls INFO: infer_output_key : features +[2022/05/18 17:05:54] ppcls INFO: name : RecModel +[2022/05/18 17:05:54] ppcls INFO: DataLoader : +[2022/05/18 17:05:54] ppcls INFO: Eval : +[2022/05/18 17:05:54] ppcls INFO: Gallery : +[2022/05/18 17:05:54] ppcls INFO: dataset : +[2022/05/18 17:05:54] ppcls INFO: cls_label_path : /home/aistudio/PaddleClas/dataset/dataset/all/test_list.txt +[2022/05/18 17:05:54] ppcls INFO: image_root : /home/aistudio/PaddleClas/dataset/dataset/all/ +[2022/05/18 17:05:54] ppcls INFO: name : VeriWild +[2022/05/18 17:05:54] ppcls INFO: transform_ops : +[2022/05/18 17:05:54] ppcls INFO: DecodeImage : +[2022/05/18 17:05:54] ppcls INFO: channel_first : False +[2022/05/18 17:05:54] ppcls INFO: to_rgb : True +[2022/05/18 17:05:54] ppcls INFO: ResizeImage : +[2022/05/18 17:05:54] ppcls INFO: size : 224 +[2022/05/18 17:05:54] ppcls INFO: NormalizeImage : +[2022/05/18 17:05:54] ppcls INFO: mean : [0.485, 0.456, 0.406] +[2022/05/18 17:05:54] ppcls INFO: order : +[2022/05/18 17:05:54] ppcls INFO: scale : 0.00392157 +[2022/05/18 17:05:54] ppcls INFO: std : [0.229, 0.224, 0.225] +[2022/05/18 17:05:54] ppcls INFO: loader : +[2022/05/18 17:05:54] ppcls INFO: num_workers : 4 +[2022/05/18 17:05:54] ppcls INFO: use_shared_memory : True +[2022/05/18 17:05:54] ppcls INFO: sampler : +[2022/05/18 17:05:54] ppcls INFO: batch_size : 64 +[2022/05/18 17:05:54] ppcls INFO: drop_last : False +[2022/05/18 17:05:54] ppcls INFO: name : DistributedBatchSampler +[2022/05/18 17:05:54] ppcls INFO: shuffle : False +[2022/05/18 17:05:54] ppcls INFO: Query : +[2022/05/18 17:05:54] ppcls INFO: dataset : +[2022/05/18 17:05:54] ppcls INFO: cls_label_path : /home/aistudio/PaddleClas/dataset/dataset/all/test_list.txt +[2022/05/18 17:05:54] ppcls INFO: image_root : /home/aistudio/PaddleClas/dataset/dataset/all/ +[2022/05/18 17:05:54] ppcls INFO: name : VeriWild +[2022/05/18 17:05:54] ppcls INFO: transform_ops : +[2022/05/18 17:05:54] ppcls INFO: DecodeImage : +[2022/05/18 17:05:54] ppcls INFO: channel_first : False +[2022/05/18 17:05:54] ppcls INFO: to_rgb : True +[2022/05/18 17:05:54] ppcls INFO: ResizeImage : +[2022/05/18 17:05:54] ppcls INFO: size : 224 +[2022/05/18 17:05:54] ppcls INFO: NormalizeImage : +[2022/05/18 17:05:54] ppcls INFO: mean : [0.485, 0.456, 0.406] +[2022/05/18 17:05:54] ppcls INFO: order : +[2022/05/18 17:05:54] ppcls INFO: scale : 0.00392157 +[2022/05/18 17:05:54] ppcls INFO: std : [0.229, 0.224, 0.225] +[2022/05/18 17:05:54] ppcls INFO: loader : +[2022/05/18 17:05:54] ppcls INFO: num_workers : 4 +[2022/05/18 17:05:54] ppcls INFO: use_shared_memory : True +[2022/05/18 17:05:54] ppcls INFO: sampler : +[2022/05/18 17:05:54] ppcls INFO: batch_size : 64 +[2022/05/18 17:05:54] ppcls INFO: drop_last : False +[2022/05/18 17:05:54] ppcls INFO: name : DistributedBatchSampler +[2022/05/18 17:05:54] ppcls INFO: shuffle : False +[2022/05/18 17:05:54] ppcls INFO: Train : +[2022/05/18 17:05:54] ppcls INFO: dataset : +[2022/05/18 17:05:54] ppcls INFO: cls_label_path : PaddleClas/dataset/dataset/all/train +[2022/05/18 17:05:54] ppcls INFO: image_root : /home/aistudio/PaddleClas/dataset/dataset/all/ +[2022/05/18 17:05:54] ppcls INFO: name : ImageNetDataset +[2022/05/18 17:05:54] ppcls INFO: transform_ops : +[2022/05/18 17:05:54] ppcls INFO: DecodeImage : +[2022/05/18 17:05:54] ppcls INFO: channel_first : False +[2022/05/18 17:05:54] ppcls INFO: to_rgb : True +[2022/05/18 17:05:54] ppcls INFO: RandCropImage : +[2022/05/18 17:05:54] ppcls INFO: size : 224 +[2022/05/18 17:05:54] ppcls INFO: RandFlipImage : +[2022/05/18 17:05:54] ppcls INFO: flip_code : 1 +[2022/05/18 17:05:54] ppcls INFO: NormalizeImage : +[2022/05/18 17:05:54] ppcls INFO: mean : [0.485, 0.456, 0.406] +[2022/05/18 17:05:54] ppcls INFO: order : +[2022/05/18 17:05:54] ppcls INFO: scale : 1.0/255.0 +[2022/05/18 17:05:54] ppcls INFO: std : [0.229, 0.224, 0.225] +[2022/05/18 17:05:54] ppcls INFO: loader : +[2022/05/18 17:05:54] ppcls INFO: num_workers : 4 +[2022/05/18 17:05:54] ppcls INFO: use_shared_memory : True +[2022/05/18 17:05:54] ppcls INFO: sampler : +[2022/05/18 17:05:54] ppcls INFO: batch_size : 256 +[2022/05/18 17:05:54] ppcls INFO: drop_last : False +[2022/05/18 17:05:54] ppcls INFO: name : DistributedBatchSampler +[2022/05/18 17:05:54] ppcls INFO: shuffle : True +[2022/05/18 17:05:54] ppcls INFO: Global : +[2022/05/18 17:05:54] ppcls INFO: checkpoints : None +[2022/05/18 17:05:54] ppcls INFO: device : gpu +[2022/05/18 17:05:54] ppcls INFO: epochs : 30 +[2022/05/18 17:05:54] ppcls INFO: eval_during_train : True +[2022/05/18 17:05:54] ppcls INFO: eval_interval : 1 +[2022/05/18 17:05:54] ppcls INFO: eval_mode : retrieval +[2022/05/18 17:05:54] ppcls INFO: image_shape : [3, 224, 224] +[2022/05/18 17:05:54] ppcls INFO: output_dir : ./output/ +[2022/05/18 17:05:54] ppcls INFO: pretrained_model : None +[2022/05/18 17:05:54] ppcls INFO: print_batch_step : 10 +[2022/05/18 17:05:54] ppcls INFO: save_inference_dir : ./inference +[2022/05/18 17:05:54] ppcls INFO: save_interval : 1 +[2022/05/18 17:05:54] ppcls INFO: to_static : False +[2022/05/18 17:05:54] ppcls INFO: use_dali : False +[2022/05/18 17:05:54] ppcls INFO: use_visualdl : False +[2022/05/18 17:05:54] ppcls INFO: Loss : +[2022/05/18 17:05:54] ppcls INFO: Eval : +[2022/05/18 17:05:54] ppcls INFO: CELoss : +[2022/05/18 17:05:54] ppcls INFO: weight : 1.0 +[2022/05/18 17:05:54] ppcls INFO: Train : +[2022/05/18 17:05:54] ppcls INFO: CELoss : +[2022/05/18 17:05:54] ppcls INFO: weight : 1.0 +[2022/05/18 17:05:54] ppcls INFO: Metric : +[2022/05/18 17:05:54] ppcls INFO: Eval : +[2022/05/18 17:05:54] ppcls INFO: Recallk : +[2022/05/18 17:05:54] ppcls INFO: topk : [1, 5] +[2022/05/18 17:05:54] ppcls INFO: Optimizer : +[2022/05/18 17:05:54] ppcls INFO: lr : +[2022/05/18 17:05:54] ppcls INFO: learning_rate : 0.04 +[2022/05/18 17:05:54] ppcls INFO: name : Cosine +[2022/05/18 17:05:54] ppcls INFO: warmup_epoch : 5 +[2022/05/18 17:05:54] ppcls INFO: momentum : 0.9 +[2022/05/18 17:05:54] ppcls INFO: name : Momentum +[2022/05/18 17:05:54] ppcls INFO: regularizer : +[2022/05/18 17:05:54] ppcls INFO: coeff : 1e-05 +[2022/05/18 17:05:54] ppcls INFO: name : L2 +[2022/05/18 17:05:54] ppcls INFO: profiler_options : None +[2022/05/18 17:05:54] ppcls INFO: train with paddle 2.3.0 and device Place(gpu:0) +[2022/05/18 17:06:47] ppcls INFO: +=========================================================== +== PaddleClas is powered by PaddlePaddle ! == +=========================================================== +== == +== For more info please go to the following website. == +== == +== https://github.com/PaddlePaddle/PaddleClas == +=========================================================== + +[2022/05/18 17:06:47] ppcls INFO: Arch : +[2022/05/18 17:06:47] ppcls INFO: Backbone : +[2022/05/18 17:06:47] ppcls INFO: name : PPLCNet_x2_5 +[2022/05/18 17:06:47] ppcls INFO: pretrained : True +[2022/05/18 17:06:47] ppcls INFO: use_ssld : True +[2022/05/18 17:06:47] ppcls INFO: BackboneStopLayer : +[2022/05/18 17:06:47] ppcls INFO: name : flatten +[2022/05/18 17:06:47] ppcls INFO: Head : +[2022/05/18 17:06:47] ppcls INFO: class_num : 2389 +[2022/05/18 17:06:47] ppcls INFO: embedding_size : 1280 +[2022/05/18 17:06:47] ppcls INFO: margin : 0.2 +[2022/05/18 17:06:47] ppcls INFO: name : ArcMargin +[2022/05/18 17:06:47] ppcls INFO: scale : 30 +[2022/05/18 17:06:47] ppcls INFO: Neck : +[2022/05/18 17:06:47] ppcls INFO: class_num : 1280 +[2022/05/18 17:06:47] ppcls INFO: embedding_size : 1280 +[2022/05/18 17:06:47] ppcls INFO: name : FC +[2022/05/18 17:06:47] ppcls INFO: infer_add_softmax : False +[2022/05/18 17:06:47] ppcls INFO: infer_output_key : features +[2022/05/18 17:06:47] ppcls INFO: name : RecModel +[2022/05/18 17:06:47] ppcls INFO: DataLoader : +[2022/05/18 17:06:47] ppcls INFO: Eval : +[2022/05/18 17:06:47] ppcls INFO: Gallery : +[2022/05/18 17:06:47] ppcls INFO: dataset : +[2022/05/18 17:06:47] ppcls INFO: cls_label_path : /home/aistudio/PaddleClas/dataset/dataset/all/test_list.txt +[2022/05/18 17:06:47] ppcls INFO: image_root : /home/aistudio/PaddleClas/dataset/dataset/all/ +[2022/05/18 17:06:47] ppcls INFO: name : VeriWild +[2022/05/18 17:06:47] ppcls INFO: transform_ops : +[2022/05/18 17:06:47] ppcls INFO: DecodeImage : +[2022/05/18 17:06:47] ppcls INFO: channel_first : False +[2022/05/18 17:06:47] ppcls INFO: to_rgb : True +[2022/05/18 17:06:47] ppcls INFO: ResizeImage : +[2022/05/18 17:06:47] ppcls INFO: size : 224 +[2022/05/18 17:06:47] ppcls INFO: NormalizeImage : +[2022/05/18 17:06:47] ppcls INFO: mean : [0.485, 0.456, 0.406] +[2022/05/18 17:06:47] ppcls INFO: order : +[2022/05/18 17:06:47] ppcls INFO: scale : 0.00392157 +[2022/05/18 17:06:47] ppcls INFO: std : [0.229, 0.224, 0.225] +[2022/05/18 17:06:47] ppcls INFO: loader : +[2022/05/18 17:06:47] ppcls INFO: num_workers : 4 +[2022/05/18 17:06:47] ppcls INFO: use_shared_memory : True +[2022/05/18 17:06:47] ppcls INFO: sampler : +[2022/05/18 17:06:47] ppcls INFO: batch_size : 64 +[2022/05/18 17:06:47] ppcls INFO: drop_last : False +[2022/05/18 17:06:47] ppcls INFO: name : DistributedBatchSampler +[2022/05/18 17:06:47] ppcls INFO: shuffle : False +[2022/05/18 17:06:47] ppcls INFO: Query : +[2022/05/18 17:06:47] ppcls INFO: dataset : +[2022/05/18 17:06:47] ppcls INFO: cls_label_path : /home/aistudio/PaddleClas/dataset/dataset/all/test_list.txt +[2022/05/18 17:06:47] ppcls INFO: image_root : /home/aistudio/PaddleClas/dataset/dataset/all/ +[2022/05/18 17:06:47] ppcls INFO: name : VeriWild +[2022/05/18 17:06:47] ppcls INFO: transform_ops : +[2022/05/18 17:06:47] ppcls INFO: DecodeImage : +[2022/05/18 17:06:47] ppcls INFO: channel_first : False +[2022/05/18 17:06:47] ppcls INFO: to_rgb : True +[2022/05/18 17:06:47] ppcls INFO: ResizeImage : +[2022/05/18 17:06:47] ppcls INFO: size : 224 +[2022/05/18 17:06:47] ppcls INFO: NormalizeImage : +[2022/05/18 17:06:47] ppcls INFO: mean : [0.485, 0.456, 0.406] +[2022/05/18 17:06:47] ppcls INFO: order : +[2022/05/18 17:06:47] ppcls INFO: scale : 0.00392157 +[2022/05/18 17:06:47] ppcls INFO: std : [0.229, 0.224, 0.225] +[2022/05/18 17:06:47] ppcls INFO: loader : +[2022/05/18 17:06:47] ppcls INFO: num_workers : 4 +[2022/05/18 17:06:47] ppcls INFO: use_shared_memory : True +[2022/05/18 17:06:47] ppcls INFO: sampler : +[2022/05/18 17:06:47] ppcls INFO: batch_size : 64 +[2022/05/18 17:06:47] ppcls INFO: drop_last : False +[2022/05/18 17:06:47] ppcls INFO: name : DistributedBatchSampler +[2022/05/18 17:06:47] ppcls INFO: shuffle : False +[2022/05/18 17:06:47] ppcls INFO: Train : +[2022/05/18 17:06:47] ppcls INFO: dataset : +[2022/05/18 17:06:47] ppcls INFO: cls_label_path : /home/aistudio/PaddleClas/dataset/dataset/all/train_list.txt +[2022/05/18 17:06:47] ppcls INFO: image_root : /home/aistudio/PaddleClas/dataset/dataset/all/ +[2022/05/18 17:06:47] ppcls INFO: name : ImageNetDataset +[2022/05/18 17:06:47] ppcls INFO: transform_ops : +[2022/05/18 17:06:47] ppcls INFO: DecodeImage : +[2022/05/18 17:06:47] ppcls INFO: channel_first : False +[2022/05/18 17:06:47] ppcls INFO: to_rgb : True +[2022/05/18 17:06:47] ppcls INFO: RandCropImage : +[2022/05/18 17:06:47] ppcls INFO: size : 224 +[2022/05/18 17:06:47] ppcls INFO: RandFlipImage : +[2022/05/18 17:06:47] ppcls INFO: flip_code : 1 +[2022/05/18 17:06:47] ppcls INFO: NormalizeImage : +[2022/05/18 17:06:47] ppcls INFO: mean : [0.485, 0.456, 0.406] +[2022/05/18 17:06:47] ppcls INFO: order : +[2022/05/18 17:06:47] ppcls INFO: scale : 1.0/255.0 +[2022/05/18 17:06:47] ppcls INFO: std : [0.229, 0.224, 0.225] +[2022/05/18 17:06:47] ppcls INFO: loader : +[2022/05/18 17:06:47] ppcls INFO: num_workers : 4 +[2022/05/18 17:06:47] ppcls INFO: use_shared_memory : True +[2022/05/18 17:06:47] ppcls INFO: sampler : +[2022/05/18 17:06:47] ppcls INFO: batch_size : 256 +[2022/05/18 17:06:47] ppcls INFO: drop_last : False +[2022/05/18 17:06:47] ppcls INFO: name : DistributedBatchSampler +[2022/05/18 17:06:47] ppcls INFO: shuffle : True +[2022/05/18 17:06:47] ppcls INFO: Global : +[2022/05/18 17:06:47] ppcls INFO: checkpoints : None +[2022/05/18 17:06:47] ppcls INFO: device : gpu +[2022/05/18 17:06:47] ppcls INFO: epochs : 30 +[2022/05/18 17:06:47] ppcls INFO: eval_during_train : True +[2022/05/18 17:06:47] ppcls INFO: eval_interval : 1 +[2022/05/18 17:06:47] ppcls INFO: eval_mode : retrieval +[2022/05/18 17:06:47] ppcls INFO: image_shape : [3, 224, 224] +[2022/05/18 17:06:47] ppcls INFO: output_dir : ./output/ +[2022/05/18 17:06:47] ppcls INFO: pretrained_model : None +[2022/05/18 17:06:47] ppcls INFO: print_batch_step : 10 +[2022/05/18 17:06:47] ppcls INFO: save_inference_dir : ./inference +[2022/05/18 17:06:47] ppcls INFO: save_interval : 1 +[2022/05/18 17:06:47] ppcls INFO: to_static : False +[2022/05/18 17:06:47] ppcls INFO: use_dali : False +[2022/05/18 17:06:47] ppcls INFO: use_visualdl : False +[2022/05/18 17:06:47] ppcls INFO: Loss : +[2022/05/18 17:06:47] ppcls INFO: Eval : +[2022/05/18 17:06:47] ppcls INFO: CELoss : +[2022/05/18 17:06:47] ppcls INFO: weight : 1.0 +[2022/05/18 17:06:47] ppcls INFO: Train : +[2022/05/18 17:06:47] ppcls INFO: CELoss : +[2022/05/18 17:06:47] ppcls INFO: weight : 1.0 +[2022/05/18 17:06:47] ppcls INFO: Metric : +[2022/05/18 17:06:47] ppcls INFO: Eval : +[2022/05/18 17:06:47] ppcls INFO: Recallk : +[2022/05/18 17:06:47] ppcls INFO: topk : [1, 5] +[2022/05/18 17:06:47] ppcls INFO: Optimizer : +[2022/05/18 17:06:47] ppcls INFO: lr : +[2022/05/18 17:06:47] ppcls INFO: learning_rate : 0.04 +[2022/05/18 17:06:47] ppcls INFO: name : Cosine +[2022/05/18 17:06:47] ppcls INFO: warmup_epoch : 5 +[2022/05/18 17:06:47] ppcls INFO: momentum : 0.9 +[2022/05/18 17:06:47] ppcls INFO: name : Momentum +[2022/05/18 17:06:47] ppcls INFO: regularizer : +[2022/05/18 17:06:47] ppcls INFO: coeff : 1e-05 +[2022/05/18 17:06:47] ppcls INFO: name : L2 +[2022/05/18 17:06:47] ppcls INFO: profiler_options : None +[2022/05/18 17:06:47] ppcls INFO: train with paddle 2.3.0 and device Place(gpu:0) +[2022/05/18 17:06:58] ppcls INFO: unique_endpoints {''} +[2022/05/18 17:06:58] ppcls INFO: Downloading PPLCNet_x2_5_ssld_pretrained.pdparams from https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/PPLCNet_x2_5_ssld_pretrained.pdparams +[2022/05/18 17:07:00] ppcls WARNING: The training strategy in config files provided by PaddleClas is based on 4 gpus. But the number of gpus is 1 in current training. Please modify the stategy (learning rate, batch size and so on) if use config files in PaddleClas to train. +[2022/05/18 17:07:03] ppcls INFO: [Train][Epoch 1/30][Iter: 0/1347]lr: 0.00001, CELoss: 14.08570, loss: 14.08570, batch_cost: 2.45579s, reader_cost: 1.87944, ips: 104.24350 images/sec, eta: 1 day, 3:33:58 +[2022/05/18 17:07:07] ppcls INFO: [Train][Epoch 1/30][Iter: 10/1347]lr: 0.00007, CELoss: 14.06169, loss: 14.06169, batch_cost: 0.37290s, reader_cost: 0.00061, ips: 686.51360 images/sec, eta: 4:11:05 +[2022/05/18 17:07:10] ppcls INFO: [Train][Epoch 1/30][Iter: 20/1347]lr: 0.00012, CELoss: 14.06156, loss: 14.06156, batch_cost: 0.37748s, reader_cost: 0.00354, ips: 678.17375 images/sec, eta: 4:14:06 +[2022/05/18 17:07:14] ppcls INFO: [Train][Epoch 1/30][Iter: 30/1347]lr: 0.00018, CELoss: 14.06191, loss: 14.06191, batch_cost: 0.38082s, reader_cost: 0.00294, ips: 672.24137 images/sec, eta: 4:16:17 +[2022/05/18 17:07:18] ppcls INFO: [Train][Epoch 1/30][Iter: 40/1347]lr: 0.00024, CELoss: 14.06147, loss: 14.06147, batch_cost: 0.38157s, reader_cost: 0.00347, ips: 670.90685 images/sec, eta: 4:16:44 +[2022/05/18 17:07:22] ppcls INFO: [Train][Epoch 1/30][Iter: 50/1347]lr: 0.00030, CELoss: 14.05882, loss: 14.05882, batch_cost: 0.37992s, reader_cost: 0.00302, ips: 673.81744 images/sec, eta: 4:15:33 +[2022/05/18 17:07:26] ppcls INFO: [Train][Epoch 1/30][Iter: 60/1347]lr: 0.00036, CELoss: 14.04881, loss: 14.04881, batch_cost: 0.38284s, reader_cost: 0.00465, ips: 668.69251 images/sec, eta: 4:17:27 +[2022/05/18 17:07:30] ppcls INFO: [Train][Epoch 1/30][Iter: 70/1347]lr: 0.00042, CELoss: 14.04132, loss: 14.04132, batch_cost: 0.38481s, reader_cost: 0.00771, ips: 665.26773 images/sec, eta: 4:18:43 +[2022/05/18 17:07:34] ppcls INFO: [Train][Epoch 1/30][Iter: 80/1347]lr: 0.00048, CELoss: 14.02879, loss: 14.02879, batch_cost: 0.38999s, reader_cost: 0.01210, ips: 656.42982 images/sec, eta: 4:22:08 +[2022/05/18 17:07:38] ppcls INFO: [Train][Epoch 1/30][Iter: 90/1347]lr: 0.00054, CELoss: 14.01461, loss: 14.01461, batch_cost: 0.39460s, reader_cost: 0.01601, ips: 648.76026 images/sec, eta: 4:25:10 +[2022/05/18 17:07:43] ppcls INFO: [Train][Epoch 1/30][Iter: 100/1347]lr: 0.00060, CELoss: 13.99636, loss: 13.99636, batch_cost: 0.40661s, reader_cost: 0.02671, ips: 629.59055 images/sec, eta: 4:33:10 +[2022/05/18 17:07:48] ppcls INFO: [Train][Epoch 1/30][Iter: 110/1347]lr: 0.00066, CELoss: 13.97650, loss: 13.97650, batch_cost: 0.41033s, reader_cost: 0.03061, ips: 623.89181 images/sec, eta: 4:35:36 +[2022/05/18 17:07:52] ppcls INFO: [Train][Epoch 1/30][Iter: 120/1347]lr: 0.00072, CELoss: 13.95509, loss: 13.95509, batch_cost: 0.40845s, reader_cost: 0.02906, ips: 626.76630 images/sec, eta: 4:34:16 +[2022/05/18 17:07:56] ppcls INFO: [Train][Epoch 1/30][Iter: 130/1347]lr: 0.00078, CELoss: 13.93191, loss: 13.93191, batch_cost: 0.40551s, reader_cost: 0.02681, ips: 631.30126 images/sec, eta: 4:32:14 +[2022/05/18 17:08:01] ppcls INFO: +=========================================================== +== PaddleClas is powered by PaddlePaddle ! == +=========================================================== +== == +== For more info please go to the following website. == +== == +== https://github.com/PaddlePaddle/PaddleClas == +=========================================================== + +[2022/05/18 17:08:01] ppcls INFO: Arch : +[2022/05/18 17:08:01] ppcls INFO: Backbone : +[2022/05/18 17:08:01] ppcls INFO: name : PPLCNet_x2_5 +[2022/05/18 17:08:01] ppcls INFO: pretrained : True +[2022/05/18 17:08:01] ppcls INFO: use_ssld : True +[2022/05/18 17:08:01] ppcls INFO: BackboneStopLayer : +[2022/05/18 17:08:01] ppcls INFO: name : flatten +[2022/05/18 17:08:01] ppcls INFO: Head : +[2022/05/18 17:08:01] ppcls INFO: class_num : 2389 +[2022/05/18 17:08:01] ppcls INFO: embedding_size : 1280 +[2022/05/18 17:08:01] ppcls INFO: margin : 0.2 +[2022/05/18 17:08:01] ppcls INFO: name : ArcMargin +[2022/05/18 17:08:01] ppcls INFO: scale : 30 +[2022/05/18 17:08:01] ppcls INFO: Neck : +[2022/05/18 17:08:01] ppcls INFO: class_num : 1280 +[2022/05/18 17:08:01] ppcls INFO: embedding_size : 1280 +[2022/05/18 17:08:01] ppcls INFO: name : FC +[2022/05/18 17:08:01] ppcls INFO: infer_add_softmax : False +[2022/05/18 17:08:01] ppcls INFO: infer_output_key : features +[2022/05/18 17:08:01] ppcls INFO: name : RecModel +[2022/05/18 17:08:01] ppcls INFO: DataLoader : +[2022/05/18 17:08:01] ppcls INFO: Eval : +[2022/05/18 17:08:01] ppcls INFO: Gallery : +[2022/05/18 17:08:01] ppcls INFO: dataset : +[2022/05/18 17:08:01] ppcls INFO: cls_label_path : /home/aistudio/PaddleClas/dataset/dataset/all/test_list.txt +[2022/05/18 17:08:01] ppcls INFO: image_root : /home/aistudio/PaddleClas/dataset/dataset/all/ +[2022/05/18 17:08:01] ppcls INFO: name : VeriWild +[2022/05/18 17:08:01] ppcls INFO: transform_ops : +[2022/05/18 17:08:01] ppcls INFO: DecodeImage : +[2022/05/18 17:08:01] ppcls INFO: channel_first : False +[2022/05/18 17:08:01] ppcls INFO: to_rgb : True +[2022/05/18 17:08:01] ppcls INFO: ResizeImage : +[2022/05/18 17:08:01] ppcls INFO: size : 224 +[2022/05/18 17:08:01] ppcls INFO: NormalizeImage : +[2022/05/18 17:08:01] ppcls INFO: mean : [0.485, 0.456, 0.406] +[2022/05/18 17:08:01] ppcls INFO: order : +[2022/05/18 17:08:01] ppcls INFO: scale : 0.00392157 +[2022/05/18 17:08:01] ppcls INFO: std : [0.229, 0.224, 0.225] +[2022/05/18 17:08:01] ppcls INFO: loader : +[2022/05/18 17:08:01] ppcls INFO: num_workers : 4 +[2022/05/18 17:08:01] ppcls INFO: use_shared_memory : True +[2022/05/18 17:08:01] ppcls INFO: sampler : +[2022/05/18 17:08:01] ppcls INFO: batch_size : 64 +[2022/05/18 17:08:01] ppcls INFO: drop_last : False +[2022/05/18 17:08:01] ppcls INFO: name : DistributedBatchSampler +[2022/05/18 17:08:01] ppcls INFO: shuffle : False +[2022/05/18 17:08:01] ppcls INFO: Query : +[2022/05/18 17:08:01] ppcls INFO: dataset : +[2022/05/18 17:08:01] ppcls INFO: cls_label_path : /home/aistudio/PaddleClas/dataset/dataset/all/test_list.txt +[2022/05/18 17:08:01] ppcls INFO: image_root : /home/aistudio/PaddleClas/dataset/dataset/all/ +[2022/05/18 17:08:01] ppcls INFO: name : VeriWild +[2022/05/18 17:08:01] ppcls INFO: transform_ops : +[2022/05/18 17:08:01] ppcls INFO: DecodeImage : +[2022/05/18 17:08:01] ppcls INFO: channel_first : False +[2022/05/18 17:08:01] ppcls INFO: to_rgb : True +[2022/05/18 17:08:01] ppcls INFO: ResizeImage : +[2022/05/18 17:08:01] ppcls INFO: size : 224 +[2022/05/18 17:08:01] ppcls INFO: NormalizeImage : +[2022/05/18 17:08:01] ppcls INFO: mean : [0.485, 0.456, 0.406] +[2022/05/18 17:08:01] ppcls INFO: order : +[2022/05/18 17:08:01] ppcls INFO: scale : 0.00392157 +[2022/05/18 17:08:01] ppcls INFO: std : [0.229, 0.224, 0.225] +[2022/05/18 17:08:01] ppcls INFO: loader : +[2022/05/18 17:08:01] ppcls INFO: num_workers : 4 +[2022/05/18 17:08:01] ppcls INFO: use_shared_memory : True +[2022/05/18 17:08:01] ppcls INFO: sampler : +[2022/05/18 17:08:01] ppcls INFO: batch_size : 64 +[2022/05/18 17:08:01] ppcls INFO: drop_last : False +[2022/05/18 17:08:01] ppcls INFO: name : DistributedBatchSampler +[2022/05/18 17:08:01] ppcls INFO: shuffle : False +[2022/05/18 17:08:01] ppcls INFO: Train : +[2022/05/18 17:08:01] ppcls INFO: dataset : +[2022/05/18 17:08:01] ppcls INFO: cls_label_path : /home/aistudio/PaddleClas/dataset/dataset/all/train_list.txt +[2022/05/18 17:08:01] ppcls INFO: image_root : /home/aistudio/PaddleClas/dataset/dataset/all/ +[2022/05/18 17:08:01] ppcls INFO: name : ImageNetDataset +[2022/05/18 17:08:01] ppcls INFO: transform_ops : +[2022/05/18 17:08:01] ppcls INFO: DecodeImage : +[2022/05/18 17:08:01] ppcls INFO: channel_first : False +[2022/05/18 17:08:01] ppcls INFO: to_rgb : True +[2022/05/18 17:08:01] ppcls INFO: RandCropImage : +[2022/05/18 17:08:01] ppcls INFO: size : 224 +[2022/05/18 17:08:01] ppcls INFO: RandFlipImage : +[2022/05/18 17:08:01] ppcls INFO: flip_code : 1 +[2022/05/18 17:08:01] ppcls INFO: NormalizeImage : +[2022/05/18 17:08:01] ppcls INFO: mean : [0.485, 0.456, 0.406] +[2022/05/18 17:08:01] ppcls INFO: order : +[2022/05/18 17:08:01] ppcls INFO: scale : 1.0/255.0 +[2022/05/18 17:08:01] ppcls INFO: std : [0.229, 0.224, 0.225] +[2022/05/18 17:08:01] ppcls INFO: loader : +[2022/05/18 17:08:01] ppcls INFO: num_workers : 4 +[2022/05/18 17:08:01] ppcls INFO: use_shared_memory : True +[2022/05/18 17:08:01] ppcls INFO: sampler : +[2022/05/18 17:08:01] ppcls INFO: batch_size : 256 +[2022/05/18 17:08:01] ppcls INFO: drop_last : False +[2022/05/18 17:08:01] ppcls INFO: name : DistributedBatchSampler +[2022/05/18 17:08:01] ppcls INFO: shuffle : True +[2022/05/18 17:08:01] ppcls INFO: Global : +[2022/05/18 17:08:01] ppcls INFO: checkpoints : None +[2022/05/18 17:08:01] ppcls INFO: device : gpu +[2022/05/18 17:08:01] ppcls INFO: epochs : 30 +[2022/05/18 17:08:01] ppcls INFO: eval_during_train : True +[2022/05/18 17:08:01] ppcls INFO: eval_interval : 1 +[2022/05/18 17:08:01] ppcls INFO: eval_mode : retrieval +[2022/05/18 17:08:01] ppcls INFO: image_shape : [3, 224, 224] +[2022/05/18 17:08:01] ppcls INFO: output_dir : ./output/ +[2022/05/18 17:08:01] ppcls INFO: pretrained_model : None +[2022/05/18 17:08:01] ppcls INFO: print_batch_step : 10 +[2022/05/18 17:08:01] ppcls INFO: save_inference_dir : ./inference +[2022/05/18 17:08:01] ppcls INFO: save_interval : 1 +[2022/05/18 17:08:01] ppcls INFO: to_static : False +[2022/05/18 17:08:01] ppcls INFO: use_dali : False +[2022/05/18 17:08:01] ppcls INFO: use_visualdl : False +[2022/05/18 17:08:01] ppcls INFO: Loss : +[2022/05/18 17:08:01] ppcls INFO: Eval : +[2022/05/18 17:08:01] ppcls INFO: CELoss : +[2022/05/18 17:08:01] ppcls INFO: weight : 1.0 +[2022/05/18 17:08:01] ppcls INFO: Train : +[2022/05/18 17:08:01] ppcls INFO: CELoss : +[2022/05/18 17:08:01] ppcls INFO: weight : 1.0 +[2022/05/18 17:08:01] ppcls INFO: Metric : +[2022/05/18 17:08:01] ppcls INFO: Eval : +[2022/05/18 17:08:01] ppcls INFO: Recallk : +[2022/05/18 17:08:01] ppcls INFO: topk : [1, 5] +[2022/05/18 17:08:01] ppcls INFO: Optimizer : +[2022/05/18 17:08:01] ppcls INFO: lr : +[2022/05/18 17:08:01] ppcls INFO: learning_rate : 0.04 +[2022/05/18 17:08:01] ppcls INFO: name : Cosine +[2022/05/18 17:08:01] ppcls INFO: warmup_epoch : 5 +[2022/05/18 17:08:01] ppcls INFO: momentum : 0.9 +[2022/05/18 17:08:01] ppcls INFO: name : Momentum +[2022/05/18 17:08:01] ppcls INFO: regularizer : +[2022/05/18 17:08:01] ppcls INFO: coeff : 1e-05 +[2022/05/18 17:08:01] ppcls INFO: name : L2 +[2022/05/18 17:08:01] ppcls INFO: profiler_options : None +[2022/05/18 17:08:01] ppcls INFO: train with paddle 2.3.0 and device Place(gpu:0) +[2022/05/18 17:08:11] ppcls INFO: unique_endpoints {''} +[2022/05/18 17:08:11] ppcls INFO: Found /home/aistudio/.paddleclas/weights/PPLCNet_x2_5_ssld_pretrained.pdparams +[2022/05/18 17:08:11] ppcls WARNING: The training strategy in config files provided by PaddleClas is based on 4 gpus. But the number of gpus is 1 in current training. Please modify the stategy (learning rate, batch size and so on) if use config files in PaddleClas to train. +[2022/05/18 17:08:14] ppcls INFO: [Train][Epoch 1/30][Iter: 0/1347]lr: 0.00001, CELoss: 13.94452, loss: 13.94452, batch_cost: 2.58919s, reader_cost: 1.97448, ips: 98.87262 images/sec, eta: 1 day, 5:03:49 +[2022/05/18 17:08:18] ppcls INFO: [Train][Epoch 1/30][Iter: 10/1347]lr: 0.00007, CELoss: 14.07513, loss: 14.07513, batch_cost: 0.40992s, reader_cost: 0.00072, ips: 624.51074 images/sec, eta: 4:36:00 +[2022/05/18 17:08:22] ppcls INFO: [Train][Epoch 1/30][Iter: 20/1347]lr: 0.00012, CELoss: 14.08409, loss: 14.08409, batch_cost: 0.38499s, reader_cost: 0.00135, ips: 664.95328 images/sec, eta: 4:19:09 +[2022/05/18 17:08:25] ppcls INFO: [Train][Epoch 1/30][Iter: 30/1347]lr: 0.00018, CELoss: 14.07248, loss: 14.07248, batch_cost: 0.38307s, reader_cost: 0.00514, ips: 668.27800 images/sec, eta: 4:17:48 +[2022/05/18 17:08:29] ppcls INFO: [Train][Epoch 1/30][Iter: 40/1347]lr: 0.00024, CELoss: 14.07003, loss: 14.07003, batch_cost: 0.38383s, reader_cost: 0.00781, ips: 666.95329 images/sec, eta: 4:18:15 +[2022/05/18 17:08:33] ppcls INFO: [Train][Epoch 1/30][Iter: 50/1347]lr: 0.00030, CELoss: 14.06598, loss: 14.06598, batch_cost: 0.38257s, reader_cost: 0.00709, ips: 669.15921 images/sec, eta: 4:17:20 +[2022/05/18 17:08:37] ppcls INFO: [Train][Epoch 1/30][Iter: 60/1347]lr: 0.00036, CELoss: 14.05585, loss: 14.05585, batch_cost: 0.38245s, reader_cost: 0.00854, ips: 669.37500 images/sec, eta: 4:17:11 +[2022/05/18 17:08:41] ppcls INFO: [Train][Epoch 1/30][Iter: 70/1347]lr: 0.00042, CELoss: 14.04759, loss: 14.04759, batch_cost: 0.38670s, reader_cost: 0.01196, ips: 662.00345 images/sec, eta: 4:19:59 +[2022/05/18 17:08:45] ppcls INFO: [Train][Epoch 1/30][Iter: 80/1347]lr: 0.00048, CELoss: 14.03109, loss: 14.03109, batch_cost: 0.39204s, reader_cost: 0.01718, ips: 652.99768 images/sec, eta: 4:23:30 +[2022/05/18 17:08:49] ppcls INFO: [Train][Epoch 1/30][Iter: 90/1347]lr: 0.00054, CELoss: 14.01708, loss: 14.01708, batch_cost: 0.39298s, reader_cost: 0.01722, ips: 651.43382 images/sec, eta: 4:24:04 +[2022/05/18 17:08:54] ppcls INFO: [Train][Epoch 1/30][Iter: 100/1347]lr: 0.00060, CELoss: 13.99862, loss: 13.99862, batch_cost: 0.39846s, reader_cost: 0.02099, ips: 642.47331 images/sec, eta: 4:27:41 +[2022/05/18 17:08:58] ppcls INFO: [Train][Epoch 1/30][Iter: 110/1347]lr: 0.00066, CELoss: 13.97872, loss: 13.97872, batch_cost: 0.40088s, reader_cost: 0.02314, ips: 638.59809 images/sec, eta: 4:29:15 +[2022/05/18 17:09:02] ppcls INFO: [Train][Epoch 1/30][Iter: 120/1347]lr: 0.00072, CELoss: 13.95492, loss: 13.95492, batch_cost: 0.40445s, reader_cost: 0.02567, ips: 632.95354 images/sec, eta: 4:31:35 +[2022/05/18 17:09:06] ppcls INFO: [Train][Epoch 1/30][Iter: 130/1347]lr: 0.00078, CELoss: 13.93110, loss: 13.93110, batch_cost: 0.40391s, reader_cost: 0.02574, ips: 633.79951 images/sec, eta: 4:31:09 +[2022/05/18 17:09:10] ppcls INFO: [Train][Epoch 1/30][Iter: 140/1347]lr: 0.00084, CELoss: 13.90736, loss: 13.90736, batch_cost: 0.40231s, reader_cost: 0.02478, ips: 636.31948 images/sec, eta: 4:30:01 +[2022/05/18 17:09:14] ppcls INFO: [Train][Epoch 1/30][Iter: 150/1347]lr: 0.00090, CELoss: 13.87775, loss: 13.87775, batch_cost: 0.40136s, reader_cost: 0.02412, ips: 637.82738 images/sec, eta: 4:29:18 +[2022/05/18 17:09:18] ppcls INFO: [Train][Epoch 1/30][Iter: 160/1347]lr: 0.00096, CELoss: 13.85048, loss: 13.85048, batch_cost: 0.40159s, reader_cost: 0.02461, ips: 637.46164 images/sec, eta: 4:29:24 +[2022/05/18 17:09:22] ppcls INFO: [Train][Epoch 1/30][Iter: 170/1347]lr: 0.00102, CELoss: 13.82163, loss: 13.82163, batch_cost: 0.40295s, reader_cost: 0.02647, ips: 635.31268 images/sec, eta: 4:30:14 +[2022/05/18 17:09:26] ppcls INFO: [Train][Epoch 1/30][Iter: 180/1347]lr: 0.00107, CELoss: 13.79191, loss: 13.79191, batch_cost: 0.40248s, reader_cost: 0.02592, ips: 636.04859 images/sec, eta: 4:29:51 +[2022/05/18 17:09:30] ppcls INFO: [Train][Epoch 1/30][Iter: 190/1347]lr: 0.00113, CELoss: 13.75753, loss: 13.75753, batch_cost: 0.40133s, reader_cost: 0.02464, ips: 637.88180 images/sec, eta: 4:29:01 +[2022/05/18 17:09:34] ppcls INFO: [Train][Epoch 1/30][Iter: 200/1347]lr: 0.00119, CELoss: 13.72311, loss: 13.72311, batch_cost: 0.40004s, reader_cost: 0.02341, ips: 639.93763 images/sec, eta: 4:28:05 +[2022/05/18 17:09:38] ppcls INFO: [Train][Epoch 1/30][Iter: 210/1347]lr: 0.00125, CELoss: 13.68528, loss: 13.68528, batch_cost: 0.39926s, reader_cost: 0.02299, ips: 641.18775 images/sec, eta: 4:27:30 +[2022/05/18 17:09:42] ppcls INFO: [Train][Epoch 1/30][Iter: 220/1347]lr: 0.00131, CELoss: 13.64837, loss: 13.64837, batch_cost: 0.39916s, reader_cost: 0.02323, ips: 641.34689 images/sec, eta: 4:27:22 +[2022/05/18 17:09:46] ppcls INFO: [Train][Epoch 1/30][Iter: 230/1347]lr: 0.00137, CELoss: 13.60979, loss: 13.60979, batch_cost: 0.39888s, reader_cost: 0.02275, ips: 641.79457 images/sec, eta: 4:27:07 +[2022/05/18 17:09:49] ppcls INFO: [Train][Epoch 1/30][Iter: 240/1347]lr: 0.00143, CELoss: 13.57174, loss: 13.57174, batch_cost: 0.39782s, reader_cost: 0.02196, ips: 643.50938 images/sec, eta: 4:26:20 +[2022/05/18 17:09:54] ppcls INFO: [Train][Epoch 1/30][Iter: 250/1347]lr: 0.00149, CELoss: 13.53406, loss: 13.53406, batch_cost: 0.39953s, reader_cost: 0.02323, ips: 640.75289 images/sec, eta: 4:27:25 +[2022/05/18 17:09:58] ppcls INFO: [Train][Epoch 1/30][Iter: 260/1347]lr: 0.00155, CELoss: 13.49563, loss: 13.49563, batch_cost: 0.39978s, reader_cost: 0.02359, ips: 640.34740 images/sec, eta: 4:27:31 +[2022/05/18 17:10:02] ppcls INFO: [Train][Epoch 1/30][Iter: 270/1347]lr: 0.00161, CELoss: 13.45411, loss: 13.45411, batch_cost: 0.39956s, reader_cost: 0.02328, ips: 640.69719 images/sec, eta: 4:27:18 +[2022/05/18 17:10:06] ppcls INFO: [Train][Epoch 1/30][Iter: 280/1347]lr: 0.00167, CELoss: 13.41399, loss: 13.41399, batch_cost: 0.40087s, reader_cost: 0.02383, ips: 638.60790 images/sec, eta: 4:28:06 +[2022/05/18 17:10:11] ppcls INFO: [Train][Epoch 1/30][Iter: 290/1347]lr: 0.00173, CELoss: 13.37264, loss: 13.37264, batch_cost: 0.40370s, reader_cost: 0.02652, ips: 634.13137 images/sec, eta: 4:29:56 +[2022/05/18 17:10:15] ppcls INFO: [Train][Epoch 1/30][Iter: 300/1347]lr: 0.00179, CELoss: 13.33184, loss: 13.33184, batch_cost: 0.40500s, reader_cost: 0.02776, ips: 632.09328 images/sec, eta: 4:30:44 +[2022/05/18 17:10:19] ppcls INFO: [Train][Epoch 1/30][Iter: 310/1347]lr: 0.00185, CELoss: 13.29261, loss: 13.29261, batch_cost: 0.40503s, reader_cost: 0.02798, ips: 632.05174 images/sec, eta: 4:30:41 +[2022/05/18 17:10:23] ppcls INFO: [Train][Epoch 1/30][Iter: 320/1347]lr: 0.00191, CELoss: 13.25420, loss: 13.25420, batch_cost: 0.40500s, reader_cost: 0.02807, ips: 632.09781 images/sec, eta: 4:30:36 +[2022/05/18 17:10:27] ppcls INFO: [Train][Epoch 1/30][Iter: 330/1347]lr: 0.00197, CELoss: 13.21638, loss: 13.21638, batch_cost: 0.40463s, reader_cost: 0.02791, ips: 632.67690 images/sec, eta: 4:30:17 +[2022/05/18 17:10:31] ppcls INFO: [Train][Epoch 1/30][Iter: 340/1347]lr: 0.00203, CELoss: 13.17269, loss: 13.17269, batch_cost: 0.40411s, reader_cost: 0.02756, ips: 633.49673 images/sec, eta: 4:29:52 +[2022/05/18 17:10:35] ppcls INFO: [Train][Epoch 1/30][Iter: 350/1347]lr: 0.00208, CELoss: 13.13416, loss: 13.13416, batch_cost: 0.40386s, reader_cost: 0.02767, ips: 633.88125 images/sec, eta: 4:29:38 +[2022/05/18 17:10:39] ppcls INFO: [Train][Epoch 1/30][Iter: 360/1347]lr: 0.00214, CELoss: 13.09275, loss: 13.09275, batch_cost: 0.40311s, reader_cost: 0.02691, ips: 635.06264 images/sec, eta: 4:29:04 +[2022/05/18 17:10:43] ppcls INFO: [Train][Epoch 1/30][Iter: 370/1347]lr: 0.00220, CELoss: 13.05358, loss: 13.05358, batch_cost: 0.40244s, reader_cost: 0.02619, ips: 636.11261 images/sec, eta: 4:28:33 +[2022/05/18 17:10:46] ppcls INFO: [Train][Epoch 1/30][Iter: 380/1347]lr: 0.00226, CELoss: 13.01444, loss: 13.01444, batch_cost: 0.40159s, reader_cost: 0.02551, ips: 637.45871 images/sec, eta: 4:27:55 +[2022/05/18 17:10:51] ppcls INFO: [Train][Epoch 1/30][Iter: 390/1347]lr: 0.00232, CELoss: 12.97058, loss: 12.97058, batch_cost: 0.40182s, reader_cost: 0.02578, ips: 637.09337 images/sec, eta: 4:28:01 +[2022/05/18 17:10:55] ppcls INFO: [Train][Epoch 1/30][Iter: 400/1347]lr: 0.00238, CELoss: 12.92898, loss: 12.92898, batch_cost: 0.40210s, reader_cost: 0.02583, ips: 636.65471 images/sec, eta: 4:28:08 +[2022/05/18 17:10:59] ppcls INFO: [Train][Epoch 1/30][Iter: 410/1347]lr: 0.00244, CELoss: 12.88899, loss: 12.88899, batch_cost: 0.40229s, reader_cost: 0.02622, ips: 636.34899 images/sec, eta: 4:28:11 +[2022/05/18 17:11:03] ppcls INFO: [Train][Epoch 1/30][Iter: 420/1347]lr: 0.00250, CELoss: 12.84746, loss: 12.84746, batch_cost: 0.40239s, reader_cost: 0.02636, ips: 636.20070 images/sec, eta: 4:28:11 +[2022/05/18 17:11:07] ppcls INFO: [Train][Epoch 1/30][Iter: 430/1347]lr: 0.00256, CELoss: 12.80762, loss: 12.80762, batch_cost: 0.40366s, reader_cost: 0.02725, ips: 634.19260 images/sec, eta: 4:28:58 +[2022/05/18 17:11:12] ppcls INFO: [Train][Epoch 1/30][Iter: 440/1347]lr: 0.00262, CELoss: 12.76846, loss: 12.76846, batch_cost: 0.40375s, reader_cost: 0.02740, ips: 634.04899 images/sec, eta: 4:28:58 +[2022/05/18 17:11:16] ppcls INFO: [Train][Epoch 1/30][Iter: 450/1347]lr: 0.00268, CELoss: 12.72672, loss: 12.72672, batch_cost: 0.40410s, reader_cost: 0.02783, ips: 633.50316 images/sec, eta: 4:29:07 +[2022/05/18 17:11:20] ppcls INFO: [Train][Epoch 1/30][Iter: 460/1347]lr: 0.00274, CELoss: 12.68441, loss: 12.68441, batch_cost: 0.40511s, reader_cost: 0.02863, ips: 631.92953 images/sec, eta: 4:29:44 +[2022/05/18 17:11:25] ppcls INFO: [Train][Epoch 1/30][Iter: 470/1347]lr: 0.00280, CELoss: 12.64423, loss: 12.64423, batch_cost: 0.40693s, reader_cost: 0.03010, ips: 629.10456 images/sec, eta: 4:30:52 +[2022/05/18 17:11:30] ppcls INFO: [Train][Epoch 1/30][Iter: 480/1347]lr: 0.00286, CELoss: 12.60085, loss: 12.60085, batch_cost: 0.40813s, reader_cost: 0.03118, ips: 627.25330 images/sec, eta: 4:31:36 +[2022/05/18 17:11:34] ppcls INFO: [Train][Epoch 1/30][Iter: 490/1347]lr: 0.00292, CELoss: 12.56090, loss: 12.56090, batch_cost: 0.40779s, reader_cost: 0.03090, ips: 627.76947 images/sec, eta: 4:31:19 +[2022/05/18 17:11:37] ppcls INFO: [Train][Epoch 1/30][Iter: 500/1347]lr: 0.00298, CELoss: 12.52043, loss: 12.52043, batch_cost: 0.40712s, reader_cost: 0.03028, ips: 628.81306 images/sec, eta: 4:30:48 +[2022/05/18 17:11:41] ppcls INFO: [Train][Epoch 1/30][Iter: 510/1347]lr: 0.00303, CELoss: 12.48044, loss: 12.48044, batch_cost: 0.40650s, reader_cost: 0.02970, ips: 629.76085 images/sec, eta: 4:30:19 +[2022/05/18 17:11:45] ppcls INFO: [Train][Epoch 1/30][Iter: 520/1347]lr: 0.00309, CELoss: 12.43969, loss: 12.43969, batch_cost: 0.40606s, reader_cost: 0.02941, ips: 630.44852 images/sec, eta: 4:29:57 +[2022/05/18 17:11:49] ppcls INFO: [Train][Epoch 1/30][Iter: 530/1347]lr: 0.00315, CELoss: 12.39985, loss: 12.39985, batch_cost: 0.40550s, reader_cost: 0.02886, ips: 631.32398 images/sec, eta: 4:29:31 +[2022/05/18 17:11:53] ppcls INFO: [Train][Epoch 1/30][Iter: 540/1347]lr: 0.00321, CELoss: 12.35749, loss: 12.35749, batch_cost: 0.40509s, reader_cost: 0.02859, ips: 631.95351 images/sec, eta: 4:29:11 +[2022/05/18 17:11:57] ppcls INFO: [Train][Epoch 1/30][Iter: 550/1347]lr: 0.00327, CELoss: 12.31599, loss: 12.31599, batch_cost: 0.40507s, reader_cost: 0.02860, ips: 631.98875 images/sec, eta: 4:29:06 +[2022/05/18 17:12:01] ppcls INFO: [Train][Epoch 1/30][Iter: 560/1347]lr: 0.00333, CELoss: 12.27571, loss: 12.27571, batch_cost: 0.40521s, reader_cost: 0.02867, ips: 631.77736 images/sec, eta: 4:29:07 +[2022/05/18 17:12:05] ppcls INFO: [Train][Epoch 1/30][Iter: 570/1347]lr: 0.00339, CELoss: 12.23350, loss: 12.23350, batch_cost: 0.40506s, reader_cost: 0.02865, ips: 632.00790 images/sec, eta: 4:28:57 +[2022/05/18 17:12:09] ppcls INFO: [Train][Epoch 1/30][Iter: 580/1347]lr: 0.00345, CELoss: 12.19678, loss: 12.19678, batch_cost: 0.40456s, reader_cost: 0.02817, ips: 632.78839 images/sec, eta: 4:28:33 +[2022/05/18 17:12:12] ppcls INFO: [Train][Epoch 1/30][Iter: 590/1347]lr: 0.00351, CELoss: 12.15381, loss: 12.15381, batch_cost: 0.40430s, reader_cost: 0.02795, ips: 633.19542 images/sec, eta: 4:28:19 +[2022/05/18 17:12:16] ppcls INFO: [Train][Epoch 1/30][Iter: 600/1347]lr: 0.00357, CELoss: 12.11596, loss: 12.11596, batch_cost: 0.40384s, reader_cost: 0.02765, ips: 633.90699 images/sec, eta: 4:27:57 +[2022/05/18 17:12:21] ppcls INFO: [Train][Epoch 1/30][Iter: 610/1347]lr: 0.00363, CELoss: 12.07763, loss: 12.07763, batch_cost: 0.40439s, reader_cost: 0.02811, ips: 633.05165 images/sec, eta: 4:28:14 +[2022/05/18 17:12:24] ppcls INFO: [Train][Epoch 1/30][Iter: 620/1347]lr: 0.00369, CELoss: 12.03832, loss: 12.03832, batch_cost: 0.40416s, reader_cost: 0.02793, ips: 633.41463 images/sec, eta: 4:28:01 +[2022/05/18 17:12:28] ppcls INFO: [Train][Epoch 1/30][Iter: 630/1347]lr: 0.00375, CELoss: 11.99818, loss: 11.99818, batch_cost: 0.40406s, reader_cost: 0.02790, ips: 633.57313 images/sec, eta: 4:27:53 +[2022/05/18 17:12:33] ppcls INFO: [Train][Epoch 1/30][Iter: 640/1347]lr: 0.00381, CELoss: 11.95680, loss: 11.95680, batch_cost: 0.40559s, reader_cost: 0.02923, ips: 631.17190 images/sec, eta: 4:28:50 +[2022/05/18 17:12:38] ppcls INFO: [Train][Epoch 1/30][Iter: 650/1347]lr: 0.00387, CELoss: 11.91832, loss: 11.91832, batch_cost: 0.40628s, reader_cost: 0.02963, ips: 630.10679 images/sec, eta: 4:29:13 +[2022/05/18 17:12:43] ppcls INFO: [Train][Epoch 1/30][Iter: 660/1347]lr: 0.00393, CELoss: 11.87831, loss: 11.87831, batch_cost: 0.40740s, reader_cost: 0.03073, ips: 628.37775 images/sec, eta: 4:29:54 +[2022/05/18 17:12:47] ppcls INFO: [Train][Epoch 1/30][Iter: 670/1347]lr: 0.00399, CELoss: 11.83811, loss: 11.83811, batch_cost: 0.40724s, reader_cost: 0.03062, ips: 628.61660 images/sec, eta: 4:29:43 +[2022/05/18 17:12:51] ppcls INFO: +=========================================================== +== PaddleClas is powered by PaddlePaddle ! == +=========================================================== +== == +== For more info please go to the following website. == +== == +== https://github.com/PaddlePaddle/PaddleClas == +=========================================================== + +[2022/05/18 17:12:51] ppcls INFO: Arch : +[2022/05/18 17:12:51] ppcls INFO: Backbone : +[2022/05/18 17:12:51] ppcls INFO: name : PPLCNet_x2_5 +[2022/05/18 17:12:51] ppcls INFO: pretrained : True +[2022/05/18 17:12:51] ppcls INFO: use_ssld : True +[2022/05/18 17:12:51] ppcls INFO: BackboneStopLayer : +[2022/05/18 17:12:51] ppcls INFO: name : flatten +[2022/05/18 17:12:51] ppcls INFO: Head : +[2022/05/18 17:12:51] ppcls INFO: class_num : 2389 +[2022/05/18 17:12:51] ppcls INFO: embedding_size : 1280 +[2022/05/18 17:12:51] ppcls INFO: margin : 0.2 +[2022/05/18 17:12:51] ppcls INFO: name : ArcMargin +[2022/05/18 17:12:51] ppcls INFO: scale : 30 +[2022/05/18 17:12:51] ppcls INFO: Neck : +[2022/05/18 17:12:51] ppcls INFO: class_num : 1280 +[2022/05/18 17:12:51] ppcls INFO: embedding_size : 1280 +[2022/05/18 17:12:51] ppcls INFO: name : FC +[2022/05/18 17:12:51] ppcls INFO: infer_add_softmax : False +[2022/05/18 17:12:51] ppcls INFO: infer_output_key : features +[2022/05/18 17:12:51] ppcls INFO: name : RecModel +[2022/05/18 17:12:51] ppcls INFO: DataLoader : +[2022/05/18 17:12:51] ppcls INFO: Eval : +[2022/05/18 17:12:51] ppcls INFO: Gallery : +[2022/05/18 17:12:51] ppcls INFO: dataset : +[2022/05/18 17:12:51] ppcls INFO: cls_label_path : /home/aistudio/.jupyter/lab/workspaces/PaddleClas/dataset/dataset/all/test_list.txt +[2022/05/18 17:12:51] ppcls INFO: image_root : /home/aistudio/.jupyter/lab/workspaces/PaddleClas/dataset/dataset/all/ +[2022/05/18 17:12:51] ppcls INFO: name : VeriWild +[2022/05/18 17:12:51] ppcls INFO: transform_ops : +[2022/05/18 17:12:51] ppcls INFO: DecodeImage : +[2022/05/18 17:12:51] ppcls INFO: channel_first : False +[2022/05/18 17:12:51] ppcls INFO: to_rgb : True +[2022/05/18 17:12:51] ppcls INFO: ResizeImage : +[2022/05/18 17:12:51] ppcls INFO: size : 224 +[2022/05/18 17:12:51] ppcls INFO: NormalizeImage : +[2022/05/18 17:12:51] ppcls INFO: mean : [0.485, 0.456, 0.406] +[2022/05/18 17:12:51] ppcls INFO: order : +[2022/05/18 17:12:51] ppcls INFO: scale : 0.00392157 +[2022/05/18 17:12:51] ppcls INFO: std : [0.229, 0.224, 0.225] +[2022/05/18 17:12:51] ppcls INFO: loader : +[2022/05/18 17:12:51] ppcls INFO: num_workers : 4 +[2022/05/18 17:12:51] ppcls INFO: use_shared_memory : True +[2022/05/18 17:12:51] ppcls INFO: sampler : +[2022/05/18 17:12:51] ppcls INFO: batch_size : 64 +[2022/05/18 17:12:51] ppcls INFO: drop_last : False +[2022/05/18 17:12:51] ppcls INFO: name : DistributedBatchSampler +[2022/05/18 17:12:51] ppcls INFO: shuffle : False +[2022/05/18 17:12:51] ppcls INFO: Query : +[2022/05/18 17:12:51] ppcls INFO: dataset : +[2022/05/18 17:12:51] ppcls INFO: cls_label_path : /home/aistudio/PaddleClas/dataset/dataset/all/test_list.txt +[2022/05/18 17:12:51] ppcls INFO: image_root : /home/aistudio/.jupyter/lab/workspaces/PaddleClas/dataset/dataset/all/ +[2022/05/18 17:12:51] ppcls INFO: name : VeriWild +[2022/05/18 17:12:51] ppcls INFO: transform_ops : +[2022/05/18 17:12:51] ppcls INFO: DecodeImage : +[2022/05/18 17:12:51] ppcls INFO: channel_first : False +[2022/05/18 17:12:51] ppcls INFO: to_rgb : True +[2022/05/18 17:12:51] ppcls INFO: ResizeImage : +[2022/05/18 17:12:51] ppcls INFO: size : 224 +[2022/05/18 17:12:51] ppcls INFO: NormalizeImage : +[2022/05/18 17:12:51] ppcls INFO: mean : [0.485, 0.456, 0.406] +[2022/05/18 17:12:51] ppcls INFO: order : +[2022/05/18 17:12:51] ppcls INFO: scale : 0.00392157 +[2022/05/18 17:12:51] ppcls INFO: std : [0.229, 0.224, 0.225] +[2022/05/18 17:12:51] ppcls INFO: loader : +[2022/05/18 17:12:51] ppcls INFO: num_workers : 4 +[2022/05/18 17:12:51] ppcls INFO: use_shared_memory : True +[2022/05/18 17:12:51] ppcls INFO: sampler : +[2022/05/18 17:12:51] ppcls INFO: batch_size : 64 +[2022/05/18 17:12:51] ppcls INFO: drop_last : False +[2022/05/18 17:12:51] ppcls INFO: name : DistributedBatchSampler +[2022/05/18 17:12:51] ppcls INFO: shuffle : False +[2022/05/18 17:12:51] ppcls INFO: Train : +[2022/05/18 17:12:51] ppcls INFO: dataset : +[2022/05/18 17:12:51] ppcls INFO: cls_label_path : /home/aistudio/PaddleClas/dataset/dataset/all/train_list.txt +[2022/05/18 17:12:51] ppcls INFO: image_root : /home/aistudio/.jupyter/lab/workspaces/PaddleClas/dataset/dataset/all/ +[2022/05/18 17:12:51] ppcls INFO: name : ImageNetDataset +[2022/05/18 17:12:51] ppcls INFO: transform_ops : +[2022/05/18 17:12:51] ppcls INFO: DecodeImage : +[2022/05/18 17:12:51] ppcls INFO: channel_first : False +[2022/05/18 17:12:51] ppcls INFO: to_rgb : True +[2022/05/18 17:12:51] ppcls INFO: RandCropImage : +[2022/05/18 17:12:51] ppcls INFO: size : 224 +[2022/05/18 17:12:51] ppcls INFO: RandFlipImage : +[2022/05/18 17:12:51] ppcls INFO: flip_code : 1 +[2022/05/18 17:12:51] ppcls INFO: NormalizeImage : +[2022/05/18 17:12:51] ppcls INFO: mean : [0.485, 0.456, 0.406] +[2022/05/18 17:12:51] ppcls INFO: order : +[2022/05/18 17:12:51] ppcls INFO: scale : 1.0/255.0 +[2022/05/18 17:12:51] ppcls INFO: std : [0.229, 0.224, 0.225] +[2022/05/18 17:12:51] ppcls INFO: loader : +[2022/05/18 17:12:51] ppcls INFO: num_workers : 4 +[2022/05/18 17:12:51] ppcls INFO: use_shared_memory : True +[2022/05/18 17:12:51] ppcls INFO: sampler : +[2022/05/18 17:12:51] ppcls INFO: batch_size : 256 +[2022/05/18 17:12:51] ppcls INFO: drop_last : False +[2022/05/18 17:12:51] ppcls INFO: name : DistributedBatchSampler +[2022/05/18 17:12:51] ppcls INFO: shuffle : True +[2022/05/18 17:12:51] ppcls INFO: Global : +[2022/05/18 17:12:51] ppcls INFO: checkpoints : None +[2022/05/18 17:12:51] ppcls INFO: device : gpu +[2022/05/18 17:12:51] ppcls INFO: epochs : 30 +[2022/05/18 17:12:51] ppcls INFO: eval_during_train : True +[2022/05/18 17:12:51] ppcls INFO: eval_interval : 1 +[2022/05/18 17:12:51] ppcls INFO: eval_mode : retrieval +[2022/05/18 17:12:51] ppcls INFO: image_shape : [3, 224, 224] +[2022/05/18 17:12:51] ppcls INFO: output_dir : ./output/ +[2022/05/18 17:12:51] ppcls INFO: pretrained_model : None +[2022/05/18 17:12:51] ppcls INFO: print_batch_step : 10 +[2022/05/18 17:12:51] ppcls INFO: save_inference_dir : ./inference +[2022/05/18 17:12:51] ppcls INFO: save_interval : 1 +[2022/05/18 17:12:51] ppcls INFO: to_static : False +[2022/05/18 17:12:51] ppcls INFO: use_dali : False +[2022/05/18 17:12:51] ppcls INFO: use_visualdl : False +[2022/05/18 17:12:51] ppcls INFO: Loss : +[2022/05/18 17:12:51] ppcls INFO: Eval : +[2022/05/18 17:12:51] ppcls INFO: CELoss : +[2022/05/18 17:12:51] ppcls INFO: weight : 1.0 +[2022/05/18 17:12:51] ppcls INFO: Train : +[2022/05/18 17:12:51] ppcls INFO: CELoss : +[2022/05/18 17:12:51] ppcls INFO: weight : 1.0 +[2022/05/18 17:12:51] ppcls INFO: Metric : +[2022/05/18 17:12:51] ppcls INFO: Eval : +[2022/05/18 17:12:51] ppcls INFO: Recallk : +[2022/05/18 17:12:51] ppcls INFO: topk : [1, 5] +[2022/05/18 17:12:51] ppcls INFO: Optimizer : +[2022/05/18 17:12:51] ppcls INFO: lr : +[2022/05/18 17:12:51] ppcls INFO: learning_rate : 0.04 +[2022/05/18 17:12:51] ppcls INFO: name : Cosine +[2022/05/18 17:12:51] ppcls INFO: warmup_epoch : 5 +[2022/05/18 17:12:51] ppcls INFO: momentum : 0.9 +[2022/05/18 17:12:51] ppcls INFO: name : Momentum +[2022/05/18 17:12:51] ppcls INFO: regularizer : +[2022/05/18 17:12:51] ppcls INFO: coeff : 1e-05 +[2022/05/18 17:12:51] ppcls INFO: name : L2 +[2022/05/18 17:12:51] ppcls INFO: profiler_options : None +[2022/05/18 17:12:51] ppcls INFO: train with paddle 2.3.0 and device Place(gpu:0) +[2022/05/18 17:16:05] ppcls INFO: +=========================================================== +== PaddleClas is powered by PaddlePaddle ! == +=========================================================== +== == +== For more info please go to the following website. == +== == +== https://github.com/PaddlePaddle/PaddleClas == +=========================================================== + +[2022/05/18 17:16:05] ppcls INFO: Arch : +[2022/05/18 17:16:05] ppcls INFO: Backbone : +[2022/05/18 17:16:05] ppcls INFO: name : PPLCNet_x2_5 +[2022/05/18 17:16:05] ppcls INFO: pretrained : True +[2022/05/18 17:16:05] ppcls INFO: use_ssld : True +[2022/05/18 17:16:05] ppcls INFO: BackboneStopLayer : +[2022/05/18 17:16:05] ppcls INFO: name : flatten +[2022/05/18 17:16:05] ppcls INFO: Head : +[2022/05/18 17:16:05] ppcls INFO: class_num : 2389 +[2022/05/18 17:16:05] ppcls INFO: embedding_size : 1280 +[2022/05/18 17:16:05] ppcls INFO: margin : 0.2 +[2022/05/18 17:16:05] ppcls INFO: name : ArcMargin +[2022/05/18 17:16:05] ppcls INFO: scale : 30 +[2022/05/18 17:16:05] ppcls INFO: Neck : +[2022/05/18 17:16:05] ppcls INFO: class_num : 1280 +[2022/05/18 17:16:05] ppcls INFO: embedding_size : 1280 +[2022/05/18 17:16:05] ppcls INFO: name : FC +[2022/05/18 17:16:05] ppcls INFO: infer_add_softmax : False +[2022/05/18 17:16:05] ppcls INFO: infer_output_key : features +[2022/05/18 17:16:05] ppcls INFO: name : RecModel +[2022/05/18 17:16:05] ppcls INFO: DataLoader : +[2022/05/18 17:16:05] ppcls INFO: Eval : +[2022/05/18 17:16:05] ppcls INFO: Gallery : +[2022/05/18 17:16:05] ppcls INFO: dataset : +[2022/05/18 17:16:05] ppcls INFO: cls_label_path : /home/aistudio/.jupyter/lab/workspaces/PaddleClas/dataset/dataset/all/test_list.txt +[2022/05/18 17:16:05] ppcls INFO: image_root : /home/aistudio/.jupyter/lab/workspaces/PaddleClas/dataset/dataset/all/ +[2022/05/18 17:16:05] ppcls INFO: name : VeriWild +[2022/05/18 17:16:05] ppcls INFO: transform_ops : +[2022/05/18 17:16:05] ppcls INFO: DecodeImage : +[2022/05/18 17:16:05] ppcls INFO: channel_first : False +[2022/05/18 17:16:05] ppcls INFO: to_rgb : True +[2022/05/18 17:16:05] ppcls INFO: ResizeImage : +[2022/05/18 17:16:05] ppcls INFO: size : 224 +[2022/05/18 17:16:05] ppcls INFO: NormalizeImage : +[2022/05/18 17:16:05] ppcls INFO: mean : [0.485, 0.456, 0.406] +[2022/05/18 17:16:05] ppcls INFO: order : +[2022/05/18 17:16:05] ppcls INFO: scale : 0.00392157 +[2022/05/18 17:16:05] ppcls INFO: std : [0.229, 0.224, 0.225] +[2022/05/18 17:16:05] ppcls INFO: loader : +[2022/05/18 17:16:05] ppcls INFO: num_workers : 4 +[2022/05/18 17:16:05] ppcls INFO: use_shared_memory : True +[2022/05/18 17:16:05] ppcls INFO: sampler : +[2022/05/18 17:16:05] ppcls INFO: batch_size : 64 +[2022/05/18 17:16:05] ppcls INFO: drop_last : False +[2022/05/18 17:16:05] ppcls INFO: name : DistributedBatchSampler +[2022/05/18 17:16:05] ppcls INFO: shuffle : False +[2022/05/18 17:16:05] ppcls INFO: Query : +[2022/05/18 17:16:05] ppcls INFO: dataset : +[2022/05/18 17:16:05] ppcls INFO: cls_label_path : /home/aistudio/.jupyter/lab/workspaces/PaddleClas/dataset/dataset/all/test_list.txt +[2022/05/18 17:16:05] ppcls INFO: image_root : /home/aistudio/.jupyter/lab/workspaces/PaddleClas/dataset/dataset/all/ +[2022/05/18 17:16:05] ppcls INFO: name : VeriWild +[2022/05/18 17:16:05] ppcls INFO: transform_ops : +[2022/05/18 17:16:05] ppcls INFO: DecodeImage : +[2022/05/18 17:16:05] ppcls INFO: channel_first : False +[2022/05/18 17:16:05] ppcls INFO: to_rgb : True +[2022/05/18 17:16:05] ppcls INFO: ResizeImage : +[2022/05/18 17:16:05] ppcls INFO: size : 224 +[2022/05/18 17:16:05] ppcls INFO: NormalizeImage : +[2022/05/18 17:16:05] ppcls INFO: mean : [0.485, 0.456, 0.406] +[2022/05/18 17:16:05] ppcls INFO: order : +[2022/05/18 17:16:05] ppcls INFO: scale : 0.00392157 +[2022/05/18 17:16:05] ppcls INFO: std : [0.229, 0.224, 0.225] +[2022/05/18 17:16:05] ppcls INFO: loader : +[2022/05/18 17:16:05] ppcls INFO: num_workers : 4 +[2022/05/18 17:16:05] ppcls INFO: use_shared_memory : True +[2022/05/18 17:16:05] ppcls INFO: sampler : +[2022/05/18 17:16:05] ppcls INFO: batch_size : 64 +[2022/05/18 17:16:05] ppcls INFO: drop_last : False +[2022/05/18 17:16:05] ppcls INFO: name : DistributedBatchSampler +[2022/05/18 17:16:05] ppcls INFO: shuffle : False +[2022/05/18 17:16:05] ppcls INFO: Train : +[2022/05/18 17:16:05] ppcls INFO: dataset : +[2022/05/18 17:16:05] ppcls INFO: cls_label_path : /home/aistudio/PaddleClas/dataset/dataset/all/train_list.txt +[2022/05/18 17:16:05] ppcls INFO: image_root : /home/aistudio/.jupyter/lab/workspaces/PaddleClas/dataset/dataset/all/ +[2022/05/18 17:16:05] ppcls INFO: name : ImageNetDataset +[2022/05/18 17:16:05] ppcls INFO: transform_ops : +[2022/05/18 17:16:05] ppcls INFO: DecodeImage : +[2022/05/18 17:16:05] ppcls INFO: channel_first : False +[2022/05/18 17:16:05] ppcls INFO: to_rgb : True +[2022/05/18 17:16:05] ppcls INFO: RandCropImage : +[2022/05/18 17:16:05] ppcls INFO: size : 224 +[2022/05/18 17:16:05] ppcls INFO: RandFlipImage : +[2022/05/18 17:16:05] ppcls INFO: flip_code : 1 +[2022/05/18 17:16:05] ppcls INFO: NormalizeImage : +[2022/05/18 17:16:05] ppcls INFO: mean : [0.485, 0.456, 0.406] +[2022/05/18 17:16:05] ppcls INFO: order : +[2022/05/18 17:16:05] ppcls INFO: scale : 1.0/255.0 +[2022/05/18 17:16:05] ppcls INFO: std : [0.229, 0.224, 0.225] +[2022/05/18 17:16:05] ppcls INFO: loader : +[2022/05/18 17:16:05] ppcls INFO: num_workers : 4 +[2022/05/18 17:16:05] ppcls INFO: use_shared_memory : True +[2022/05/18 17:16:05] ppcls INFO: sampler : +[2022/05/18 17:16:05] ppcls INFO: batch_size : 256 +[2022/05/18 17:16:05] ppcls INFO: drop_last : False +[2022/05/18 17:16:05] ppcls INFO: name : DistributedBatchSampler +[2022/05/18 17:16:05] ppcls INFO: shuffle : True +[2022/05/18 17:16:05] ppcls INFO: Global : +[2022/05/18 17:16:05] ppcls INFO: checkpoints : None +[2022/05/18 17:16:05] ppcls INFO: device : gpu +[2022/05/18 17:16:05] ppcls INFO: epochs : 30 +[2022/05/18 17:16:05] ppcls INFO: eval_during_train : True +[2022/05/18 17:16:05] ppcls INFO: eval_interval : 1 +[2022/05/18 17:16:05] ppcls INFO: eval_mode : retrieval +[2022/05/18 17:16:05] ppcls INFO: image_shape : [3, 224, 224] +[2022/05/18 17:16:05] ppcls INFO: output_dir : ./output/ +[2022/05/18 17:16:05] ppcls INFO: pretrained_model : None +[2022/05/18 17:16:05] ppcls INFO: print_batch_step : 10 +[2022/05/18 17:16:05] ppcls INFO: save_inference_dir : ./inference +[2022/05/18 17:16:05] ppcls INFO: save_interval : 1 +[2022/05/18 17:16:05] ppcls INFO: to_static : False +[2022/05/18 17:16:05] ppcls INFO: use_dali : False +[2022/05/18 17:16:05] ppcls INFO: use_visualdl : False +[2022/05/18 17:16:05] ppcls INFO: Loss : +[2022/05/18 17:16:05] ppcls INFO: Eval : +[2022/05/18 17:16:05] ppcls INFO: CELoss : +[2022/05/18 17:16:05] ppcls INFO: weight : 1.0 +[2022/05/18 17:16:05] ppcls INFO: Train : +[2022/05/18 17:16:05] ppcls INFO: CELoss : +[2022/05/18 17:16:05] ppcls INFO: weight : 1.0 +[2022/05/18 17:16:05] ppcls INFO: Metric : +[2022/05/18 17:16:05] ppcls INFO: Eval : +[2022/05/18 17:16:05] ppcls INFO: Recallk : +[2022/05/18 17:16:05] ppcls INFO: topk : [1, 5] +[2022/05/18 17:16:05] ppcls INFO: Optimizer : +[2022/05/18 17:16:05] ppcls INFO: lr : +[2022/05/18 17:16:05] ppcls INFO: learning_rate : 0.04 +[2022/05/18 17:16:05] ppcls INFO: name : Cosine +[2022/05/18 17:16:05] ppcls INFO: warmup_epoch : 5 +[2022/05/18 17:16:05] ppcls INFO: momentum : 0.9 +[2022/05/18 17:16:05] ppcls INFO: name : Momentum +[2022/05/18 17:16:05] ppcls INFO: regularizer : +[2022/05/18 17:16:05] ppcls INFO: coeff : 1e-05 +[2022/05/18 17:16:05] ppcls INFO: name : L2 +[2022/05/18 17:16:05] ppcls INFO: profiler_options : None +[2022/05/18 17:16:05] ppcls INFO: train with paddle 2.3.0 and device Place(gpu:0) +[2022/05/18 17:16:38] ppcls INFO: +=========================================================== +== PaddleClas is powered by PaddlePaddle ! == +=========================================================== +== == +== For more info please go to the following website. == +== == +== https://github.com/PaddlePaddle/PaddleClas == +=========================================================== + +[2022/05/18 17:16:38] ppcls INFO: Arch : +[2022/05/18 17:16:38] ppcls INFO: Backbone : +[2022/05/18 17:16:38] ppcls INFO: name : PPLCNet_x2_5 +[2022/05/18 17:16:38] ppcls INFO: pretrained : True +[2022/05/18 17:16:38] ppcls INFO: use_ssld : True +[2022/05/18 17:16:38] ppcls INFO: BackboneStopLayer : +[2022/05/18 17:16:38] ppcls INFO: name : flatten +[2022/05/18 17:16:38] ppcls INFO: Head : +[2022/05/18 17:16:38] ppcls INFO: class_num : 2389 +[2022/05/18 17:16:38] ppcls INFO: embedding_size : 1280 +[2022/05/18 17:16:38] ppcls INFO: margin : 0.2 +[2022/05/18 17:16:38] ppcls INFO: name : ArcMargin +[2022/05/18 17:16:38] ppcls INFO: scale : 30 +[2022/05/18 17:16:38] ppcls INFO: Neck : +[2022/05/18 17:16:38] ppcls INFO: class_num : 1280 +[2022/05/18 17:16:38] ppcls INFO: embedding_size : 1280 +[2022/05/18 17:16:38] ppcls INFO: name : FC +[2022/05/18 17:16:38] ppcls INFO: infer_add_softmax : False +[2022/05/18 17:16:38] ppcls INFO: infer_output_key : features +[2022/05/18 17:16:38] ppcls INFO: name : RecModel +[2022/05/18 17:16:38] ppcls INFO: DataLoader : +[2022/05/18 17:16:38] ppcls INFO: Eval : +[2022/05/18 17:16:38] ppcls INFO: Gallery : +[2022/05/18 17:16:38] ppcls INFO: dataset : +[2022/05/18 17:16:38] ppcls INFO: cls_label_path : /home/aistudio/PaddleClas/dataset/dataset/all/test_list.txt +[2022/05/18 17:16:38] ppcls INFO: image_root : /home/aistudio/PaddleClas/dataset/dataset/all/ +[2022/05/18 17:16:38] ppcls INFO: name : VeriWild +[2022/05/18 17:16:38] ppcls INFO: transform_ops : +[2022/05/18 17:16:38] ppcls INFO: DecodeImage : +[2022/05/18 17:16:38] ppcls INFO: channel_first : False +[2022/05/18 17:16:38] ppcls INFO: to_rgb : True +[2022/05/18 17:16:38] ppcls INFO: ResizeImage : +[2022/05/18 17:16:38] ppcls INFO: size : 224 +[2022/05/18 17:16:38] ppcls INFO: NormalizeImage : +[2022/05/18 17:16:38] ppcls INFO: mean : [0.485, 0.456, 0.406] +[2022/05/18 17:16:38] ppcls INFO: order : +[2022/05/18 17:16:38] ppcls INFO: scale : 0.00392157 +[2022/05/18 17:16:38] ppcls INFO: std : [0.229, 0.224, 0.225] +[2022/05/18 17:16:38] ppcls INFO: loader : +[2022/05/18 17:16:38] ppcls INFO: num_workers : 4 +[2022/05/18 17:16:38] ppcls INFO: use_shared_memory : True +[2022/05/18 17:16:38] ppcls INFO: sampler : +[2022/05/18 17:16:38] ppcls INFO: batch_size : 64 +[2022/05/18 17:16:38] ppcls INFO: drop_last : False +[2022/05/18 17:16:38] ppcls INFO: name : DistributedBatchSampler +[2022/05/18 17:16:38] ppcls INFO: shuffle : False +[2022/05/18 17:16:38] ppcls INFO: Query : +[2022/05/18 17:16:38] ppcls INFO: dataset : +[2022/05/18 17:16:38] ppcls INFO: cls_label_path : /home/aistudio/PaddleClas/dataset/dataset/all/test_list.txt +[2022/05/18 17:16:38] ppcls INFO: image_root : /home/aistudio//PaddleClas/dataset/dataset/all/ +[2022/05/18 17:16:38] ppcls INFO: name : VeriWild +[2022/05/18 17:16:38] ppcls INFO: transform_ops : +[2022/05/18 17:16:38] ppcls INFO: DecodeImage : +[2022/05/18 17:16:38] ppcls INFO: channel_first : False +[2022/05/18 17:16:38] ppcls INFO: to_rgb : True +[2022/05/18 17:16:38] ppcls INFO: ResizeImage : +[2022/05/18 17:16:38] ppcls INFO: size : 224 +[2022/05/18 17:16:38] ppcls INFO: NormalizeImage : +[2022/05/18 17:16:38] ppcls INFO: mean : [0.485, 0.456, 0.406] +[2022/05/18 17:16:38] ppcls INFO: order : +[2022/05/18 17:16:38] ppcls INFO: scale : 0.00392157 +[2022/05/18 17:16:38] ppcls INFO: std : [0.229, 0.224, 0.225] +[2022/05/18 17:16:38] ppcls INFO: loader : +[2022/05/18 17:16:38] ppcls INFO: num_workers : 4 +[2022/05/18 17:16:38] ppcls INFO: use_shared_memory : True +[2022/05/18 17:16:38] ppcls INFO: sampler : +[2022/05/18 17:16:38] ppcls INFO: batch_size : 64 +[2022/05/18 17:16:38] ppcls INFO: drop_last : False +[2022/05/18 17:16:38] ppcls INFO: name : DistributedBatchSampler +[2022/05/18 17:16:38] ppcls INFO: shuffle : False +[2022/05/18 17:16:38] ppcls INFO: Train : +[2022/05/18 17:16:38] ppcls INFO: dataset : +[2022/05/18 17:16:38] ppcls INFO: cls_label_path : /home/aistudio/PaddleClas/dataset/dataset/all/train_list.txt +[2022/05/18 17:16:38] ppcls INFO: image_root : /home/aistudio/PaddleClas/dataset/dataset/all/ +[2022/05/18 17:16:38] ppcls INFO: name : ImageNetDataset +[2022/05/18 17:16:38] ppcls INFO: transform_ops : +[2022/05/18 17:16:38] ppcls INFO: DecodeImage : +[2022/05/18 17:16:38] ppcls INFO: channel_first : False +[2022/05/18 17:16:38] ppcls INFO: to_rgb : True +[2022/05/18 17:16:38] ppcls INFO: RandCropImage : +[2022/05/18 17:16:38] ppcls INFO: size : 224 +[2022/05/18 17:16:38] ppcls INFO: RandFlipImage : +[2022/05/18 17:16:38] ppcls INFO: flip_code : 1 +[2022/05/18 17:16:38] ppcls INFO: NormalizeImage : +[2022/05/18 17:16:38] ppcls INFO: mean : [0.485, 0.456, 0.406] +[2022/05/18 17:16:38] ppcls INFO: order : +[2022/05/18 17:16:38] ppcls INFO: scale : 1.0/255.0 +[2022/05/18 17:16:38] ppcls INFO: std : [0.229, 0.224, 0.225] +[2022/05/18 17:16:38] ppcls INFO: loader : +[2022/05/18 17:16:38] ppcls INFO: num_workers : 4 +[2022/05/18 17:16:38] ppcls INFO: use_shared_memory : True +[2022/05/18 17:16:38] ppcls INFO: sampler : +[2022/05/18 17:16:38] ppcls INFO: batch_size : 256 +[2022/05/18 17:16:38] ppcls INFO: drop_last : False +[2022/05/18 17:16:38] ppcls INFO: name : DistributedBatchSampler +[2022/05/18 17:16:38] ppcls INFO: shuffle : True +[2022/05/18 17:16:38] ppcls INFO: Global : +[2022/05/18 17:16:38] ppcls INFO: checkpoints : None +[2022/05/18 17:16:38] ppcls INFO: device : gpu +[2022/05/18 17:16:38] ppcls INFO: epochs : 30 +[2022/05/18 17:16:38] ppcls INFO: eval_during_train : True +[2022/05/18 17:16:38] ppcls INFO: eval_interval : 1 +[2022/05/18 17:16:38] ppcls INFO: eval_mode : retrieval +[2022/05/18 17:16:38] ppcls INFO: image_shape : [3, 224, 224] +[2022/05/18 17:16:38] ppcls INFO: output_dir : ./output/ +[2022/05/18 17:16:38] ppcls INFO: pretrained_model : None +[2022/05/18 17:16:38] ppcls INFO: print_batch_step : 10 +[2022/05/18 17:16:38] ppcls INFO: save_inference_dir : ./inference +[2022/05/18 17:16:38] ppcls INFO: save_interval : 1 +[2022/05/18 17:16:38] ppcls INFO: to_static : False +[2022/05/18 17:16:38] ppcls INFO: use_dali : False +[2022/05/18 17:16:38] ppcls INFO: use_visualdl : False +[2022/05/18 17:16:38] ppcls INFO: Loss : +[2022/05/18 17:16:38] ppcls INFO: Eval : +[2022/05/18 17:16:38] ppcls INFO: CELoss : +[2022/05/18 17:16:38] ppcls INFO: weight : 1.0 +[2022/05/18 17:16:38] ppcls INFO: Train : +[2022/05/18 17:16:38] ppcls INFO: CELoss : +[2022/05/18 17:16:38] ppcls INFO: weight : 1.0 +[2022/05/18 17:16:38] ppcls INFO: Metric : +[2022/05/18 17:16:38] ppcls INFO: Eval : +[2022/05/18 17:16:38] ppcls INFO: Recallk : +[2022/05/18 17:16:38] ppcls INFO: topk : [1, 5] +[2022/05/18 17:16:38] ppcls INFO: Optimizer : +[2022/05/18 17:16:38] ppcls INFO: lr : +[2022/05/18 17:16:38] ppcls INFO: learning_rate : 0.04 +[2022/05/18 17:16:38] ppcls INFO: name : Cosine +[2022/05/18 17:16:38] ppcls INFO: warmup_epoch : 5 +[2022/05/18 17:16:38] ppcls INFO: momentum : 0.9 +[2022/05/18 17:16:38] ppcls INFO: name : Momentum +[2022/05/18 17:16:38] ppcls INFO: regularizer : +[2022/05/18 17:16:38] ppcls INFO: coeff : 1e-05 +[2022/05/18 17:16:38] ppcls INFO: name : L2 +[2022/05/18 17:16:38] ppcls INFO: profiler_options : None +[2022/05/18 17:16:38] ppcls INFO: train with paddle 2.3.0 and device Place(gpu:0) +[2022/05/18 17:16:49] ppcls INFO: unique_endpoints {''} +[2022/05/18 17:16:49] ppcls INFO: Found /home/aistudio/.paddleclas/weights/PPLCNet_x2_5_ssld_pretrained.pdparams +[2022/05/18 17:16:49] ppcls WARNING: The training strategy in config files provided by PaddleClas is based on 4 gpus. But the number of gpus is 1 in current training. Please modify the stategy (learning rate, batch size and so on) if use config files in PaddleClas to train. +[2022/05/18 17:16:52] ppcls INFO: [Train][Epoch 1/30][Iter: 0/1347]lr: 0.00001, CELoss: 14.04866, loss: 14.04866, batch_cost: 2.68750s, reader_cost: 2.06423, ips: 95.25573 images/sec, eta: 1 day, 6:10:01 +[2022/05/18 17:16:56] ppcls INFO: [Train][Epoch 1/30][Iter: 10/1347]lr: 0.00007, CELoss: 14.04597, loss: 14.04597, batch_cost: 0.39062s, reader_cost: 0.01536, ips: 655.36313 images/sec, eta: 4:23:01 +[2022/05/18 17:16:59] ppcls INFO: [Train][Epoch 1/30][Iter: 20/1347]lr: 0.00012, CELoss: 14.05288, loss: 14.05288, batch_cost: 0.38931s, reader_cost: 0.00788, ips: 657.57451 images/sec, eta: 4:22:04 +[2022/05/18 17:17:03] ppcls INFO: [Train][Epoch 1/30][Iter: 30/1347]lr: 0.00018, CELoss: 14.05341, loss: 14.05341, batch_cost: 0.39111s, reader_cost: 0.00695, ips: 654.53940 images/sec, eta: 4:23:13 +[2022/05/18 17:17:07] ppcls INFO: [Train][Epoch 1/30][Iter: 40/1347]lr: 0.00024, CELoss: 14.05338, loss: 14.05338, batch_cost: 0.39348s, reader_cost: 0.00665, ips: 650.60153 images/sec, eta: 4:24:44 +[2022/05/18 17:17:11] ppcls INFO: [Train][Epoch 1/30][Iter: 50/1347]lr: 0.00030, CELoss: 14.05216, loss: 14.05216, batch_cost: 0.39278s, reader_cost: 0.00534, ips: 651.76159 images/sec, eta: 4:24:12 +[2022/05/18 17:17:16] ppcls INFO: [Train][Epoch 1/30][Iter: 60/1347]lr: 0.00036, CELoss: 14.04064, loss: 14.04064, batch_cost: 0.40300s, reader_cost: 0.01529, ips: 635.23568 images/sec, eta: 4:31:01 +[2022/05/18 17:17:20] ppcls INFO: [Train][Epoch 1/30][Iter: 70/1347]lr: 0.00042, CELoss: 14.03085, loss: 14.03085, batch_cost: 0.40860s, reader_cost: 0.02170, ips: 626.53472 images/sec, eta: 4:34:42 +[2022/05/18 17:17:25] ppcls INFO: [Train][Epoch 1/30][Iter: 80/1347]lr: 0.00048, CELoss: 14.01832, loss: 14.01832, batch_cost: 0.41401s, reader_cost: 0.02753, ips: 618.33731 images/sec, eta: 4:38:17 +[2022/05/18 17:17:29] ppcls INFO: [Train][Epoch 1/30][Iter: 90/1347]lr: 0.00054, CELoss: 14.00584, loss: 14.00584, batch_cost: 0.41077s, reader_cost: 0.02638, ips: 623.21794 images/sec, eta: 4:36:02 +[2022/05/18 17:17:33] ppcls INFO: [Train][Epoch 1/30][Iter: 100/1347]lr: 0.00060, CELoss: 13.98932, loss: 13.98932, batch_cost: 0.40993s, reader_cost: 0.02702, ips: 624.50309 images/sec, eta: 4:35:24 +[2022/05/18 17:17:36] ppcls INFO: [Train][Epoch 1/30][Iter: 110/1347]lr: 0.00066, CELoss: 13.96805, loss: 13.96805, batch_cost: 0.40670s, reader_cost: 0.02484, ips: 629.46035 images/sec, eta: 4:33:09 +[2022/05/18 17:17:40] ppcls INFO: [Train][Epoch 1/30][Iter: 120/1347]lr: 0.00072, CELoss: 13.94721, loss: 13.94721, batch_cost: 0.40354s, reader_cost: 0.02276, ips: 634.38638 images/sec, eta: 4:30:58 +[2022/05/18 17:17:44] ppcls INFO: [Train][Epoch 1/30][Iter: 130/1347]lr: 0.00078, CELoss: 13.92754, loss: 13.92754, batch_cost: 0.40196s, reader_cost: 0.02153, ips: 636.88258 images/sec, eta: 4:29:50 +[2022/05/18 17:17:48] ppcls INFO: [Train][Epoch 1/30][Iter: 140/1347]lr: 0.00084, CELoss: 13.90386, loss: 13.90386, batch_cost: 0.40199s, reader_cost: 0.02234, ips: 636.82756 images/sec, eta: 4:29:48 +[2022/05/18 17:17:52] ppcls INFO: [Train][Epoch 1/30][Iter: 150/1347]lr: 0.00090, CELoss: 13.87723, loss: 13.87723, batch_cost: 0.40141s, reader_cost: 0.02189, ips: 637.74915 images/sec, eta: 4:29:20 +[2022/05/18 17:17:56] ppcls INFO: [Train][Epoch 1/30][Iter: 160/1347]lr: 0.00096, CELoss: 13.84752, loss: 13.84752, batch_cost: 0.39966s, reader_cost: 0.02053, ips: 640.54779 images/sec, eta: 4:28:06 +[2022/05/18 17:17:59] ppcls INFO: [Train][Epoch 1/30][Iter: 170/1347]lr: 0.00102, CELoss: 13.81903, loss: 13.81903, batch_cost: 0.39799s, reader_cost: 0.01939, ips: 643.23775 images/sec, eta: 4:26:54 +[2022/05/18 17:18:03] ppcls INFO: [Train][Epoch 1/30][Iter: 180/1347]lr: 0.00107, CELoss: 13.78776, loss: 13.78776, batch_cost: 0.39644s, reader_cost: 0.01833, ips: 645.74557 images/sec, eta: 4:25:48 +[2022/05/18 17:18:07] ppcls INFO: [Train][Epoch 1/30][Iter: 190/1347]lr: 0.00113, CELoss: 13.75270, loss: 13.75270, batch_cost: 0.39573s, reader_cost: 0.01742, ips: 646.90121 images/sec, eta: 4:25:16 +[2022/05/18 17:18:11] ppcls INFO: [Train][Epoch 1/30][Iter: 200/1347]lr: 0.00119, CELoss: 13.71833, loss: 13.71833, batch_cost: 0.39462s, reader_cost: 0.01657, ips: 648.72090 images/sec, eta: 4:24:27 +[2022/05/18 17:18:15] ppcls INFO: [Train][Epoch 1/30][Iter: 210/1347]lr: 0.00125, CELoss: 13.68068, loss: 13.68068, batch_cost: 0.39487s, reader_cost: 0.01694, ips: 648.30893 images/sec, eta: 4:24:33 +[2022/05/18 17:18:19] ppcls INFO: [Train][Epoch 1/30][Iter: 220/1347]lr: 0.00131, CELoss: 13.64357, loss: 13.64357, batch_cost: 0.39696s, reader_cost: 0.01849, ips: 644.89772 images/sec, eta: 4:25:53 +[2022/05/18 17:18:23] ppcls INFO: [Train][Epoch 1/30][Iter: 230/1347]lr: 0.00137, CELoss: 13.60446, loss: 13.60446, batch_cost: 0.39743s, reader_cost: 0.01911, ips: 644.14616 images/sec, eta: 4:26:08 +[2022/05/18 17:18:27] ppcls INFO: [Train][Epoch 1/30][Iter: 240/1347]lr: 0.00143, CELoss: 13.56660, loss: 13.56660, batch_cost: 0.39856s, reader_cost: 0.02012, ips: 642.31835 images/sec, eta: 4:26:50 +[2022/05/18 17:18:32] ppcls INFO: [Train][Epoch 1/30][Iter: 250/1347]lr: 0.00149, CELoss: 13.52818, loss: 13.52818, batch_cost: 0.40098s, reader_cost: 0.02245, ips: 638.43542 images/sec, eta: 4:28:23 +[2022/05/18 17:18:37] ppcls INFO: [Train][Epoch 1/30][Iter: 260/1347]lr: 0.00155, CELoss: 13.48932, loss: 13.48932, batch_cost: 0.40406s, reader_cost: 0.02505, ips: 633.56478 images/sec, eta: 4:30:23 +[2022/05/18 17:18:41] ppcls INFO: [Train][Epoch 1/30][Iter: 270/1347]lr: 0.00161, CELoss: 13.44696, loss: 13.44696, batch_cost: 0.40362s, reader_cost: 0.02497, ips: 634.25216 images/sec, eta: 4:30:01 +[2022/05/18 17:18:44] ppcls INFO: [Train][Epoch 1/30][Iter: 280/1347]lr: 0.00167, CELoss: 13.40731, loss: 13.40731, batch_cost: 0.40252s, reader_cost: 0.02408, ips: 635.98597 images/sec, eta: 4:29:13 +[2022/05/18 17:18:48] ppcls INFO: [Train][Epoch 1/30][Iter: 290/1347]lr: 0.00173, CELoss: 13.36642, loss: 13.36642, batch_cost: 0.40209s, reader_cost: 0.02373, ips: 636.67614 images/sec, eta: 4:28:51 +[2022/05/18 17:18:52] ppcls INFO: [Train][Epoch 1/30][Iter: 300/1347]lr: 0.00179, CELoss: 13.32512, loss: 13.32512, batch_cost: 0.40259s, reader_cost: 0.02450, ips: 635.88074 images/sec, eta: 4:29:07 +[2022/05/18 17:18:56] ppcls INFO: [Train][Epoch 1/30][Iter: 310/1347]lr: 0.00185, CELoss: 13.28552, loss: 13.28552, batch_cost: 0.40239s, reader_cost: 0.02458, ips: 636.19480 images/sec, eta: 4:28:55 +[2022/05/18 17:19:00] ppcls INFO: [Train][Epoch 1/30][Iter: 320/1347]lr: 0.00191, CELoss: 13.24695, loss: 13.24695, batch_cost: 0.40157s, reader_cost: 0.02382, ips: 637.49554 images/sec, eta: 4:28:18 +[2022/05/18 17:19:04] ppcls INFO: [Train][Epoch 1/30][Iter: 330/1347]lr: 0.00197, CELoss: 13.21050, loss: 13.21050, batch_cost: 0.40080s, reader_cost: 0.02311, ips: 638.72854 images/sec, eta: 4:27:43 +[2022/05/18 17:19:08] ppcls INFO: [Train][Epoch 1/30][Iter: 340/1347]lr: 0.00203, CELoss: 13.16658, loss: 13.16658, batch_cost: 0.39987s, reader_cost: 0.02244, ips: 640.20825 images/sec, eta: 4:27:02 +[2022/05/18 17:19:11] ppcls INFO: [Train][Epoch 1/30][Iter: 350/1347]lr: 0.00208, CELoss: 13.12696, loss: 13.12696, batch_cost: 0.39923s, reader_cost: 0.02184, ips: 641.23771 images/sec, eta: 4:26:33 +[2022/05/18 17:19:15] ppcls INFO: [Train][Epoch 1/30][Iter: 360/1347]lr: 0.00214, CELoss: 13.08568, loss: 13.08568, batch_cost: 0.39849s, reader_cost: 0.02125, ips: 642.41897 images/sec, eta: 4:25:59 +[2022/05/18 17:19:19] ppcls INFO: [Train][Epoch 1/30][Iter: 370/1347]lr: 0.00220, CELoss: 13.04662, loss: 13.04662, batch_cost: 0.39806s, reader_cost: 0.02069, ips: 643.11739 images/sec, eta: 4:25:38 +[2022/05/18 17:19:23] ppcls INFO: [Train][Epoch 1/30][Iter: 380/1347]lr: 0.00226, CELoss: 13.00674, loss: 13.00674, batch_cost: 0.39768s, reader_cost: 0.02016, ips: 643.73452 images/sec, eta: 4:25:19 +[2022/05/18 17:19:26] ppcls INFO: [Train][Epoch 1/30][Iter: 390/1347]lr: 0.00232, CELoss: 12.96384, loss: 12.96384, batch_cost: 0.39698s, reader_cost: 0.01965, ips: 644.87618 images/sec, eta: 4:24:46 +[2022/05/18 17:19:31] ppcls INFO: [Train][Epoch 1/30][Iter: 400/1347]lr: 0.00238, CELoss: 12.92205, loss: 12.92205, batch_cost: 0.39786s, reader_cost: 0.02030, ips: 643.44678 images/sec, eta: 4:25:18 +[2022/05/18 17:19:35] ppcls INFO: [Train][Epoch 1/30][Iter: 410/1347]lr: 0.00244, CELoss: 12.88232, loss: 12.88232, batch_cost: 0.39787s, reader_cost: 0.02051, ips: 643.43287 images/sec, eta: 4:25:14 +[2022/05/18 17:19:39] ppcls INFO: [Train][Epoch 1/30][Iter: 420/1347]lr: 0.00250, CELoss: 12.84094, loss: 12.84094, batch_cost: 0.39787s, reader_cost: 0.02044, ips: 643.42596 images/sec, eta: 4:25:10 +[2022/05/18 17:19:43] ppcls INFO: [Train][Epoch 1/30][Iter: 430/1347]lr: 0.00256, CELoss: 12.80109, loss: 12.80109, batch_cost: 0.39912s, reader_cost: 0.02166, ips: 641.40530 images/sec, eta: 4:25:56 +[2022/05/18 17:19:48] ppcls INFO: [Train][Epoch 1/30][Iter: 440/1347]lr: 0.00262, CELoss: 12.76064, loss: 12.76064, batch_cost: 0.40065s, reader_cost: 0.02304, ips: 638.96239 images/sec, eta: 4:26:53 +[2022/05/18 17:19:52] ppcls INFO: [Train][Epoch 1/30][Iter: 450/1347]lr: 0.00268, CELoss: 12.71841, loss: 12.71841, batch_cost: 0.40154s, reader_cost: 0.02372, ips: 637.55183 images/sec, eta: 4:27:25 +[2022/05/18 17:19:56] ppcls INFO: [Train][Epoch 1/30][Iter: 460/1347]lr: 0.00274, CELoss: 12.67587, loss: 12.67587, batch_cost: 0.40181s, reader_cost: 0.02412, ips: 637.12263 images/sec, eta: 4:27:32 +[2022/05/18 17:20:00] ppcls INFO: [Train][Epoch 1/30][Iter: 470/1347]lr: 0.00280, CELoss: 12.63614, loss: 12.63614, batch_cost: 0.40119s, reader_cost: 0.02369, ips: 638.10366 images/sec, eta: 4:27:03 +[2022/05/18 17:20:04] ppcls INFO: [Train][Epoch 1/30][Iter: 480/1347]lr: 0.00286, CELoss: 12.59223, loss: 12.59223, batch_cost: 0.40089s, reader_cost: 0.02349, ips: 638.58257 images/sec, eta: 4:26:47 +[2022/05/18 17:20:08] ppcls INFO: [Train][Epoch 1/30][Iter: 490/1347]lr: 0.00292, CELoss: 12.55225, loss: 12.55225, batch_cost: 0.40071s, reader_cost: 0.02338, ips: 638.86756 images/sec, eta: 4:26:36 +[2022/05/18 17:20:12] ppcls INFO: [Train][Epoch 1/30][Iter: 500/1347]lr: 0.00298, CELoss: 12.51239, loss: 12.51239, batch_cost: 0.40004s, reader_cost: 0.02292, ips: 639.93086 images/sec, eta: 4:26:05 +[2022/05/18 17:20:15] ppcls INFO: [Train][Epoch 1/30][Iter: 510/1347]lr: 0.00303, CELoss: 12.47210, loss: 12.47210, batch_cost: 0.39950s, reader_cost: 0.02248, ips: 640.80274 images/sec, eta: 4:25:40 +[2022/05/18 17:20:19] ppcls INFO: [Train][Epoch 1/30][Iter: 520/1347]lr: 0.00309, CELoss: 12.43269, loss: 12.43269, batch_cost: 0.39926s, reader_cost: 0.02225, ips: 641.18221 images/sec, eta: 4:25:26 +[2022/05/18 17:20:23] ppcls INFO: [Train][Epoch 1/30][Iter: 530/1347]lr: 0.00315, CELoss: 12.39280, loss: 12.39280, batch_cost: 0.39927s, reader_cost: 0.02215, ips: 641.16252 images/sec, eta: 4:25:23 +[2022/05/18 17:20:27] ppcls INFO: [Train][Epoch 1/30][Iter: 540/1347]lr: 0.00321, CELoss: 12.35032, loss: 12.35032, batch_cost: 0.39970s, reader_cost: 0.02258, ips: 640.47699 images/sec, eta: 4:25:36 +[2022/05/18 17:20:31] ppcls INFO: [Train][Epoch 1/30][Iter: 550/1347]lr: 0.00327, CELoss: 12.30925, loss: 12.30925, batch_cost: 0.39955s, reader_cost: 0.02239, ips: 640.72196 images/sec, eta: 4:25:26 +[2022/05/18 17:20:35] ppcls INFO: [Train][Epoch 1/30][Iter: 560/1347]lr: 0.00333, CELoss: 12.26874, loss: 12.26874, batch_cost: 0.39948s, reader_cost: 0.02245, ips: 640.82608 images/sec, eta: 4:25:19 +[2022/05/18 17:20:39] ppcls INFO: [Train][Epoch 1/30][Iter: 570/1347]lr: 0.00339, CELoss: 12.22714, loss: 12.22714, batch_cost: 0.39907s, reader_cost: 0.02207, ips: 641.48952 images/sec, eta: 4:24:58 +[2022/05/18 17:20:43] ppcls INFO: [Train][Epoch 1/30][Iter: 580/1347]lr: 0.00345, CELoss: 12.19045, loss: 12.19045, batch_cost: 0.39933s, reader_cost: 0.02211, ips: 641.07253 images/sec, eta: 4:25:05 +[2022/05/18 17:20:47] ppcls INFO: [Train][Epoch 1/30][Iter: 590/1347]lr: 0.00351, CELoss: 12.14663, loss: 12.14663, batch_cost: 0.39961s, reader_cost: 0.02252, ips: 640.62072 images/sec, eta: 4:25:12 +[2022/05/18 17:20:51] ppcls INFO: [Train][Epoch 1/30][Iter: 600/1347]lr: 0.00357, CELoss: 12.10820, loss: 12.10820, batch_cost: 0.39939s, reader_cost: 0.02240, ips: 640.97565 images/sec, eta: 4:24:59 +[2022/05/18 17:20:56] ppcls INFO: [Train][Epoch 1/30][Iter: 610/1347]lr: 0.00363, CELoss: 12.06878, loss: 12.06878, batch_cost: 0.39979s, reader_cost: 0.02247, ips: 640.33695 images/sec, eta: 4:25:11 +[2022/05/18 17:21:00] ppcls INFO: [Train][Epoch 1/30][Iter: 620/1347]lr: 0.00369, CELoss: 12.02964, loss: 12.02964, batch_cost: 0.40103s, reader_cost: 0.02344, ips: 638.35862 images/sec, eta: 4:25:56 +[2022/05/18 17:21:05] ppcls INFO: [Train][Epoch 1/30][Iter: 630/1347]lr: 0.00375, CELoss: 11.99022, loss: 11.99022, batch_cost: 0.40210s, reader_cost: 0.02431, ips: 636.66323 images/sec, eta: 4:26:35 +[2022/05/18 17:21:09] ppcls INFO: [Train][Epoch 1/30][Iter: 640/1347]lr: 0.00381, CELoss: 11.95028, loss: 11.95028, batch_cost: 0.40257s, reader_cost: 0.02473, ips: 635.91198 images/sec, eta: 4:26:50 +[2022/05/18 17:21:13] ppcls INFO: [Train][Epoch 1/30][Iter: 650/1347]lr: 0.00387, CELoss: 11.91233, loss: 11.91233, batch_cost: 0.40259s, reader_cost: 0.02474, ips: 635.88072 images/sec, eta: 4:26:47 +[2022/05/18 17:26:44] ppcls INFO: +=========================================================== +== PaddleClas is powered by PaddlePaddle ! == +=========================================================== +== == +== For more info please go to the following website. == +== == +== https://github.com/PaddlePaddle/PaddleClas == +=========================================================== + +[2022/05/18 17:26:44] ppcls INFO: Arch : +[2022/05/18 17:26:44] ppcls INFO: Backbone : +[2022/05/18 17:26:44] ppcls INFO: name : PPLCNet_x2_5 +[2022/05/18 17:26:44] ppcls INFO: pretrained : True +[2022/05/18 17:26:44] ppcls INFO: use_ssld : True +[2022/05/18 17:26:44] ppcls INFO: BackboneStopLayer : +[2022/05/18 17:26:44] ppcls INFO: name : flatten +[2022/05/18 17:26:44] ppcls INFO: Head : +[2022/05/18 17:26:44] ppcls INFO: class_num : 2389 +[2022/05/18 17:26:44] ppcls INFO: embedding_size : 1280 +[2022/05/18 17:26:44] ppcls INFO: margin : 0.2 +[2022/05/18 17:26:44] ppcls INFO: name : ArcMargin +[2022/05/18 17:26:44] ppcls INFO: scale : 30 +[2022/05/18 17:26:44] ppcls INFO: Neck : +[2022/05/18 17:26:44] ppcls INFO: class_num : 1280 +[2022/05/18 17:26:44] ppcls INFO: embedding_size : 1280 +[2022/05/18 17:26:44] ppcls INFO: name : FC +[2022/05/18 17:26:44] ppcls INFO: infer_add_softmax : False +[2022/05/18 17:26:44] ppcls INFO: infer_output_key : features +[2022/05/18 17:26:44] ppcls INFO: name : RecModel +[2022/05/18 17:26:44] ppcls INFO: DataLoader : +[2022/05/18 17:26:44] ppcls INFO: Eval : +[2022/05/18 17:26:44] ppcls INFO: Gallery : +[2022/05/18 17:26:44] ppcls INFO: dataset : +[2022/05/18 17:26:44] ppcls INFO: cls_label_path : /home/aistudio/PaddleClas/dataset/dataset/all/test_list.txt +[2022/05/18 17:26:44] ppcls INFO: image_root : /home/aistudio/PaddleClas/dataset/dataset/all/ +[2022/05/18 17:26:44] ppcls INFO: name : VeriWild +[2022/05/18 17:26:44] ppcls INFO: transform_ops : +[2022/05/18 17:26:44] ppcls INFO: DecodeImage : +[2022/05/18 17:26:44] ppcls INFO: channel_first : False +[2022/05/18 17:26:44] ppcls INFO: to_rgb : True +[2022/05/18 17:26:44] ppcls INFO: ResizeImage : +[2022/05/18 17:26:44] ppcls INFO: size : 224 +[2022/05/18 17:26:44] ppcls INFO: NormalizeImage : +[2022/05/18 17:26:44] ppcls INFO: mean : [0.485, 0.456, 0.406] +[2022/05/18 17:26:44] ppcls INFO: order : +[2022/05/18 17:26:44] ppcls INFO: scale : 0.00392157 +[2022/05/18 17:26:44] ppcls INFO: std : [0.229, 0.224, 0.225] +[2022/05/18 17:26:44] ppcls INFO: loader : +[2022/05/18 17:26:44] ppcls INFO: num_workers : 4 +[2022/05/18 17:26:44] ppcls INFO: use_shared_memory : True +[2022/05/18 17:26:44] ppcls INFO: sampler : +[2022/05/18 17:26:44] ppcls INFO: batch_size : 64 +[2022/05/18 17:26:44] ppcls INFO: drop_last : False +[2022/05/18 17:26:44] ppcls INFO: name : DistributedBatchSampler +[2022/05/18 17:26:44] ppcls INFO: shuffle : False +[2022/05/18 17:26:44] ppcls INFO: Query : +[2022/05/18 17:26:44] ppcls INFO: dataset : +[2022/05/18 17:26:44] ppcls INFO: cls_label_path : /home/aistudio/PaddleClas/dataset/dataset/all/test_list.txt +[2022/05/18 17:26:44] ppcls INFO: image_root : /home/aistudio//PaddleClas/dataset/dataset/all/ +[2022/05/18 17:26:44] ppcls INFO: name : VeriWild +[2022/05/18 17:26:44] ppcls INFO: transform_ops : +[2022/05/18 17:26:44] ppcls INFO: DecodeImage : +[2022/05/18 17:26:44] ppcls INFO: channel_first : False +[2022/05/18 17:26:44] ppcls INFO: to_rgb : True +[2022/05/18 17:26:44] ppcls INFO: ResizeImage : +[2022/05/18 17:26:44] ppcls INFO: size : 224 +[2022/05/18 17:26:44] ppcls INFO: NormalizeImage : +[2022/05/18 17:26:44] ppcls INFO: mean : [0.485, 0.456, 0.406] +[2022/05/18 17:26:44] ppcls INFO: order : +[2022/05/18 17:26:44] ppcls INFO: scale : 0.00392157 +[2022/05/18 17:26:44] ppcls INFO: std : [0.229, 0.224, 0.225] +[2022/05/18 17:26:44] ppcls INFO: loader : +[2022/05/18 17:26:44] ppcls INFO: num_workers : 4 +[2022/05/18 17:26:44] ppcls INFO: use_shared_memory : True +[2022/05/18 17:26:44] ppcls INFO: sampler : +[2022/05/18 17:26:44] ppcls INFO: batch_size : 64 +[2022/05/18 17:26:44] ppcls INFO: drop_last : False +[2022/05/18 17:26:44] ppcls INFO: name : DistributedBatchSampler +[2022/05/18 17:26:44] ppcls INFO: shuffle : False +[2022/05/18 17:26:44] ppcls INFO: Train : +[2022/05/18 17:26:44] ppcls INFO: dataset : +[2022/05/18 17:26:44] ppcls INFO: cls_label_path : /home/aistudio/PaddleClas/dataset/dataset/all/train_list.txt +[2022/05/18 17:26:44] ppcls INFO: image_root : /home/aistudio/PaddleClas/dataset/dataset/all/ +[2022/05/18 17:26:44] ppcls INFO: name : ImageNetDataset +[2022/05/18 17:26:44] ppcls INFO: transform_ops : +[2022/05/18 17:26:44] ppcls INFO: DecodeImage : +[2022/05/18 17:26:44] ppcls INFO: channel_first : False +[2022/05/18 17:26:44] ppcls INFO: to_rgb : True +[2022/05/18 17:26:44] ppcls INFO: RandCropImage : +[2022/05/18 17:26:44] ppcls INFO: size : 224 +[2022/05/18 17:26:44] ppcls INFO: RandFlipImage : +[2022/05/18 17:26:44] ppcls INFO: flip_code : 1 +[2022/05/18 17:26:44] ppcls INFO: NormalizeImage : +[2022/05/18 17:26:44] ppcls INFO: mean : [0.485, 0.456, 0.406] +[2022/05/18 17:26:44] ppcls INFO: order : +[2022/05/18 17:26:44] ppcls INFO: scale : 1.0/255.0 +[2022/05/18 17:26:44] ppcls INFO: std : [0.229, 0.224, 0.225] +[2022/05/18 17:26:44] ppcls INFO: loader : +[2022/05/18 17:26:44] ppcls INFO: num_workers : 4 +[2022/05/18 17:26:44] ppcls INFO: use_shared_memory : True +[2022/05/18 17:26:44] ppcls INFO: sampler : +[2022/05/18 17:26:44] ppcls INFO: batch_size : 256 +[2022/05/18 17:26:44] ppcls INFO: drop_last : False +[2022/05/18 17:26:44] ppcls INFO: name : DistributedBatchSampler +[2022/05/18 17:26:44] ppcls INFO: shuffle : True +[2022/05/18 17:26:44] ppcls INFO: Global : +[2022/05/18 17:26:44] ppcls INFO: checkpoints : None +[2022/05/18 17:26:44] ppcls INFO: device : gpu +[2022/05/18 17:26:44] ppcls INFO: epochs : 30 +[2022/05/18 17:26:44] ppcls INFO: eval_during_train : True +[2022/05/18 17:26:44] ppcls INFO: eval_interval : 1 +[2022/05/18 17:26:44] ppcls INFO: eval_mode : retrieval +[2022/05/18 17:26:44] ppcls INFO: image_shape : [3, 224, 224] +[2022/05/18 17:26:44] ppcls INFO: output_dir : ./output/ +[2022/05/18 17:26:44] ppcls INFO: pretrained_model : None +[2022/05/18 17:26:44] ppcls INFO: print_batch_step : 10 +[2022/05/18 17:26:44] ppcls INFO: save_inference_dir : ./inference +[2022/05/18 17:26:44] ppcls INFO: save_interval : 1 +[2022/05/18 17:26:44] ppcls INFO: to_static : False +[2022/05/18 17:26:44] ppcls INFO: use_dali : False +[2022/05/18 17:26:44] ppcls INFO: use_visualdl : False +[2022/05/18 17:26:44] ppcls INFO: Loss : +[2022/05/18 17:26:44] ppcls INFO: Eval : +[2022/05/18 17:26:44] ppcls INFO: CELoss : +[2022/05/18 17:26:44] ppcls INFO: weight : 1.0 +[2022/05/18 17:26:44] ppcls INFO: Train : +[2022/05/18 17:26:44] ppcls INFO: CELoss : +[2022/05/18 17:26:44] ppcls INFO: weight : 1.0 +[2022/05/18 17:26:44] ppcls INFO: Metric : +[2022/05/18 17:26:44] ppcls INFO: Eval : +[2022/05/18 17:26:44] ppcls INFO: Recallk : +[2022/05/18 17:26:44] ppcls INFO: topk : [1, 5] +[2022/05/18 17:26:44] ppcls INFO: Optimizer : +[2022/05/18 17:26:44] ppcls INFO: lr : +[2022/05/18 17:26:44] ppcls INFO: learning_rate : 0.04 +[2022/05/18 17:26:44] ppcls INFO: name : Cosine +[2022/05/18 17:26:44] ppcls INFO: warmup_epoch : 5 +[2022/05/18 17:26:44] ppcls INFO: momentum : 0.9 +[2022/05/18 17:26:44] ppcls INFO: name : Momentum +[2022/05/18 17:26:44] ppcls INFO: regularizer : +[2022/05/18 17:26:44] ppcls INFO: coeff : 1e-05 +[2022/05/18 17:26:44] ppcls INFO: name : L2 +[2022/05/18 17:26:44] ppcls INFO: profiler_options : None +[2022/05/18 17:26:44] ppcls INFO: train with paddle 2.3.0 and device Place(gpu:0) +[2022/05/18 17:26:54] ppcls INFO: unique_endpoints {''} +[2022/05/18 17:26:54] ppcls INFO: Found /home/aistudio/.paddleclas/weights/PPLCNet_x2_5_ssld_pretrained.pdparams +[2022/05/18 17:26:55] ppcls WARNING: The training strategy in config files provided by PaddleClas is based on 4 gpus. But the number of gpus is 1 in current training. Please modify the stategy (learning rate, batch size and so on) if use config files in PaddleClas to train. +[2022/05/18 17:26:57] ppcls INFO: [Train][Epoch 1/30][Iter: 0/1347]lr: 0.00001, CELoss: 14.00305, loss: 14.00305, batch_cost: 2.68269s, reader_cost: 2.03615, ips: 95.42646 images/sec, eta: 1 day, 6:06:47 +[2022/05/18 17:27:01] ppcls INFO: [Train][Epoch 1/30][Iter: 10/1347]lr: 0.00007, CELoss: 14.07051, loss: 14.07051, batch_cost: 0.37010s, reader_cost: 0.00066, ips: 691.69785 images/sec, eta: 4:09:12 +[2022/05/18 17:27:05] ppcls INFO: [Train][Epoch 1/30][Iter: 20/1347]lr: 0.00012, CELoss: 14.06908, loss: 14.06908, batch_cost: 0.37247s, reader_cost: 0.00063, ips: 687.30903 images/sec, eta: 4:10:43 +[2022/05/18 17:27:09] ppcls INFO: [Train][Epoch 1/30][Iter: 30/1347]lr: 0.00018, CELoss: 14.06154, loss: 14.06154, batch_cost: 0.37532s, reader_cost: 0.00063, ips: 682.08615 images/sec, eta: 4:12:35 +[2022/05/18 17:27:12] ppcls INFO: [Train][Epoch 1/30][Iter: 40/1347]lr: 0.00024, CELoss: 14.05462, loss: 14.05462, batch_cost: 0.37771s, reader_cost: 0.00399, ips: 677.76981 images/sec, eta: 4:14:08 +[2022/05/18 17:27:16] ppcls INFO: [Train][Epoch 1/30][Iter: 50/1347]lr: 0.00030, CELoss: 14.05346, loss: 14.05346, batch_cost: 0.38171s, reader_cost: 0.00936, ips: 670.66358 images/sec, eta: 4:16:45 +[2022/05/18 17:27:20] ppcls INFO: [Train][Epoch 1/30][Iter: 60/1347]lr: 0.00036, CELoss: 14.03871, loss: 14.03871, batch_cost: 0.38561s, reader_cost: 0.01405, ips: 663.88410 images/sec, eta: 4:19:19 +[2022/05/18 17:27:25] ppcls INFO: [Train][Epoch 1/30][Iter: 70/1347]lr: 0.00042, CELoss: 14.03031, loss: 14.03031, batch_cost: 0.39387s, reader_cost: 0.02271, ips: 649.96200 images/sec, eta: 4:24:48 +[2022/05/18 17:27:29] ppcls INFO: [Train][Epoch 1/30][Iter: 80/1347]lr: 0.00048, CELoss: 14.01583, loss: 14.01583, batch_cost: 0.39600s, reader_cost: 0.02484, ips: 646.47080 images/sec, eta: 4:26:10 +[2022/05/18 17:27:33] ppcls INFO: [Train][Epoch 1/30][Iter: 90/1347]lr: 0.00054, CELoss: 14.00255, loss: 14.00255, batch_cost: 0.39994s, reader_cost: 0.02796, ips: 640.09138 images/sec, eta: 4:28:45 +[2022/05/18 17:27:37] ppcls INFO: [Train][Epoch 1/30][Iter: 100/1347]lr: 0.00060, CELoss: 13.98345, loss: 13.98345, batch_cost: 0.39996s, reader_cost: 0.02679, ips: 640.05895 images/sec, eta: 4:28:42 +[2022/05/18 17:27:42] ppcls INFO: [Train][Epoch 1/30][Iter: 110/1347]lr: 0.00066, CELoss: 13.96315, loss: 13.96315, batch_cost: 0.41126s, reader_cost: 0.03680, ips: 622.47001 images/sec, eta: 4:36:13 +[2022/05/18 17:27:47] ppcls INFO: [Train][Epoch 1/30][Iter: 120/1347]lr: 0.00072, CELoss: 13.94234, loss: 13.94234, batch_cost: 0.41079s, reader_cost: 0.03652, ips: 623.18454 images/sec, eta: 4:35:50 +[2022/05/18 17:27:51] ppcls INFO: [Train][Epoch 1/30][Iter: 130/1347]lr: 0.00078, CELoss: 13.92057, loss: 13.92057, batch_cost: 0.41422s, reader_cost: 0.03991, ips: 618.02990 images/sec, eta: 4:38:04 +[2022/05/18 17:27:56] ppcls INFO: [Train][Epoch 1/30][Iter: 140/1347]lr: 0.00084, CELoss: 13.89646, loss: 13.89646, batch_cost: 0.41875s, reader_cost: 0.04369, ips: 611.34795 images/sec, eta: 4:41:02 +[2022/05/18 17:28:00] ppcls INFO: [Train][Epoch 1/30][Iter: 150/1347]lr: 0.00090, CELoss: 13.86917, loss: 13.86917, batch_cost: 0.42118s, reader_cost: 0.04487, ips: 607.82134 images/sec, eta: 4:42:36 +[2022/05/18 17:28:05] ppcls INFO: [Train][Epoch 1/30][Iter: 160/1347]lr: 0.00096, CELoss: 13.84025, loss: 13.84025, batch_cost: 0.42222s, reader_cost: 0.04618, ips: 606.32424 images/sec, eta: 4:43:14 +[2022/05/18 17:28:09] ppcls INFO: [Train][Epoch 1/30][Iter: 170/1347]lr: 0.00102, CELoss: 13.81235, loss: 13.81235, batch_cost: 0.42019s, reader_cost: 0.04421, ips: 609.24635 images/sec, eta: 4:41:48 +[2022/05/18 17:28:13] ppcls INFO: [Train][Epoch 1/30][Iter: 180/1347]lr: 0.00107, CELoss: 13.78273, loss: 13.78273, batch_cost: 0.42113s, reader_cost: 0.04477, ips: 607.89118 images/sec, eta: 4:42:21 +[2022/05/18 17:28:17] ppcls INFO: [Train][Epoch 1/30][Iter: 190/1347]lr: 0.00113, CELoss: 13.74820, loss: 13.74820, batch_cost: 0.42019s, reader_cost: 0.04387, ips: 609.24247 images/sec, eta: 4:41:40 +[2022/05/18 17:28:21] ppcls INFO: [Train][Epoch 1/30][Iter: 200/1347]lr: 0.00119, CELoss: 13.71385, loss: 13.71385, batch_cost: 0.41933s, reader_cost: 0.04318, ips: 610.50064 images/sec, eta: 4:41:01 +[2022/05/18 17:28:25] ppcls INFO: [Train][Epoch 1/30][Iter: 210/1347]lr: 0.00125, CELoss: 13.67534, loss: 13.67534, batch_cost: 0.41723s, reader_cost: 0.04124, ips: 613.56932 images/sec, eta: 4:39:32 +[2022/05/18 17:28:29] ppcls INFO: [Train][Epoch 1/30][Iter: 220/1347]lr: 0.00131, CELoss: 13.63956, loss: 13.63956, batch_cost: 0.41516s, reader_cost: 0.03936, ips: 616.63491 images/sec, eta: 4:38:05 +[2022/05/18 17:28:32] ppcls INFO: [Train][Epoch 1/30][Iter: 230/1347]lr: 0.00137, CELoss: 13.60104, loss: 13.60104, batch_cost: 0.41342s, reader_cost: 0.03764, ips: 619.22856 images/sec, eta: 4:36:51 +[2022/05/18 17:28:36] ppcls INFO: [Train][Epoch 1/30][Iter: 240/1347]lr: 0.00143, CELoss: 13.56233, loss: 13.56233, batch_cost: 0.41183s, reader_cost: 0.03607, ips: 621.60891 images/sec, eta: 4:35:43 +[2022/05/18 17:28:40] ppcls INFO: [Train][Epoch 1/30][Iter: 250/1347]lr: 0.00149, CELoss: 13.52466, loss: 13.52466, batch_cost: 0.41079s, reader_cost: 0.03471, ips: 623.18737 images/sec, eta: 4:34:57 +[2022/05/18 17:28:44] ppcls INFO: [Train][Epoch 1/30][Iter: 260/1347]lr: 0.00155, CELoss: 13.48717, loss: 13.48717, batch_cost: 0.40988s, reader_cost: 0.03338, ips: 624.56820 images/sec, eta: 4:34:16 +[2022/05/18 17:28:48] ppcls INFO: [Train][Epoch 1/30][Iter: 270/1347]lr: 0.00161, CELoss: 13.44448, loss: 13.44448, batch_cost: 0.41101s, reader_cost: 0.03449, ips: 622.85546 images/sec, eta: 4:34:57 +[2022/05/18 17:28:52] ppcls INFO: [Train][Epoch 1/30][Iter: 280/1347]lr: 0.00167, CELoss: 13.40495, loss: 13.40495, batch_cost: 0.41144s, reader_cost: 0.03492, ips: 622.21044 images/sec, eta: 4:35:10 +[2022/05/18 17:28:56] ppcls INFO: [Train][Epoch 1/30][Iter: 290/1347]lr: 0.00173, CELoss: 13.36423, loss: 13.36423, batch_cost: 0.41073s, reader_cost: 0.03443, ips: 623.28236 images/sec, eta: 4:34:38 +[2022/05/18 17:29:00] ppcls INFO: [Train][Epoch 1/30][Iter: 300/1347]lr: 0.00179, CELoss: 13.32416, loss: 13.32416, batch_cost: 0.41023s, reader_cost: 0.03419, ips: 624.04767 images/sec, eta: 4:34:14 +[2022/05/18 17:29:05] ppcls INFO: [Train][Epoch 1/30][Iter: 310/1347]lr: 0.00185, CELoss: 13.28471, loss: 13.28471, batch_cost: 0.41185s, reader_cost: 0.03538, ips: 621.58680 images/sec, eta: 4:35:15 +[2022/05/18 17:29:10] ppcls INFO: [Train][Epoch 1/30][Iter: 320/1347]lr: 0.00191, CELoss: 13.24648, loss: 13.24648, batch_cost: 0.41445s, reader_cost: 0.03734, ips: 617.68683 images/sec, eta: 4:36:55 +[2022/05/18 17:29:14] ppcls INFO: [Train][Epoch 1/30][Iter: 330/1347]lr: 0.00197, CELoss: 13.20852, loss: 13.20852, batch_cost: 0.41572s, reader_cost: 0.03817, ips: 615.80278 images/sec, eta: 4:37:41 +[2022/05/18 17:29:18] ppcls INFO: [Train][Epoch 1/30][Iter: 340/1347]lr: 0.00203, CELoss: 13.16568, loss: 13.16568, batch_cost: 0.41525s, reader_cost: 0.03738, ips: 616.49107 images/sec, eta: 4:37:19 +[2022/05/18 17:29:22] ppcls INFO: [Train][Epoch 1/30][Iter: 350/1347]lr: 0.00208, CELoss: 13.12584, loss: 13.12584, batch_cost: 0.41442s, reader_cost: 0.03662, ips: 617.73699 images/sec, eta: 4:36:41 +[2022/05/18 17:29:26] ppcls INFO: [Train][Epoch 1/30][Iter: 360/1347]lr: 0.00214, CELoss: 13.08451, loss: 13.08451, batch_cost: 0.41355s, reader_cost: 0.03588, ips: 619.03707 images/sec, eta: 4:36:02 +[2022/05/18 17:29:30] ppcls INFO: [Train][Epoch 1/30][Iter: 370/1347]lr: 0.00220, CELoss: 13.04497, loss: 13.04497, batch_cost: 0.41253s, reader_cost: 0.03516, ips: 620.55421 images/sec, eta: 4:35:17 +[2022/05/18 17:29:34] ppcls INFO: [Train][Epoch 1/30][Iter: 380/1347]lr: 0.00226, CELoss: 13.00487, loss: 13.00487, batch_cost: 0.41187s, reader_cost: 0.03474, ips: 621.56285 images/sec, eta: 4:34:46 +[2022/05/18 17:29:38] ppcls INFO: [Train][Epoch 1/30][Iter: 390/1347]lr: 0.00232, CELoss: 12.96163, loss: 12.96163, batch_cost: 0.41104s, reader_cost: 0.03410, ips: 622.81208 images/sec, eta: 4:34:09 +[2022/05/18 17:29:41] ppcls INFO: [Train][Epoch 1/30][Iter: 400/1347]lr: 0.00238, CELoss: 12.91929, loss: 12.91929, batch_cost: 0.41041s, reader_cost: 0.03366, ips: 623.76781 images/sec, eta: 4:33:40 +[2022/05/18 17:29:45] ppcls INFO: [Train][Epoch 1/30][Iter: 410/1347]lr: 0.00244, CELoss: 12.87907, loss: 12.87907, batch_cost: 0.40951s, reader_cost: 0.03288, ips: 625.14210 images/sec, eta: 4:33:00 +[2022/05/18 17:29:49] ppcls INFO: [Train][Epoch 1/30][Iter: 420/1347]lr: 0.00250, CELoss: 12.83841, loss: 12.83841, batch_cost: 0.40927s, reader_cost: 0.03275, ips: 625.50138 images/sec, eta: 4:32:46 +[2022/05/18 17:29:53] ppcls INFO: [Train][Epoch 1/30][Iter: 430/1347]lr: 0.00256, CELoss: 12.79884, loss: 12.79884, batch_cost: 0.40939s, reader_cost: 0.03296, ips: 625.31742 images/sec, eta: 4:32:47 +[2022/05/18 17:29:57] ppcls INFO: [Train][Epoch 1/30][Iter: 440/1347]lr: 0.00262, CELoss: 12.75922, loss: 12.75922, batch_cost: 0.40852s, reader_cost: 0.03225, ips: 626.64810 images/sec, eta: 4:32:08 +[2022/05/18 17:30:01] ppcls INFO: [Train][Epoch 1/30][Iter: 450/1347]lr: 0.00268, CELoss: 12.71767, loss: 12.71767, batch_cost: 0.40798s, reader_cost: 0.03164, ips: 627.48793 images/sec, eta: 4:31:42 +[2022/05/18 17:30:05] ppcls INFO: [Train][Epoch 1/30][Iter: 460/1347]lr: 0.00274, CELoss: 12.67504, loss: 12.67504, batch_cost: 0.40736s, reader_cost: 0.03108, ips: 628.43474 images/sec, eta: 4:31:14 +[2022/05/18 17:30:08] ppcls INFO: [Train][Epoch 1/30][Iter: 470/1347]lr: 0.00280, CELoss: 12.63491, loss: 12.63491, batch_cost: 0.40661s, reader_cost: 0.03042, ips: 629.59686 images/sec, eta: 4:30:39 +[2022/05/18 17:30:12] ppcls INFO: [Train][Epoch 1/30][Iter: 480/1347]lr: 0.00286, CELoss: 12.59141, loss: 12.59141, batch_cost: 0.40600s, reader_cost: 0.02980, ips: 630.54769 images/sec, eta: 4:30:11 +[2022/05/18 17:30:16] ppcls INFO: [Train][Epoch 1/30][Iter: 490/1347]lr: 0.00292, CELoss: 12.55196, loss: 12.55196, batch_cost: 0.40567s, reader_cost: 0.02941, ips: 631.06182 images/sec, eta: 4:29:54 +[2022/05/18 17:30:20] ppcls INFO: [Train][Epoch 1/30][Iter: 500/1347]lr: 0.00298, CELoss: 12.51141, loss: 12.51141, batch_cost: 0.40555s, reader_cost: 0.02885, ips: 631.23793 images/sec, eta: 4:29:45 +[2022/05/18 17:30:24] ppcls INFO: [Train][Epoch 1/30][Iter: 510/1347]lr: 0.00303, CELoss: 12.47193, loss: 12.47193, batch_cost: 0.40536s, reader_cost: 0.02851, ips: 631.54360 images/sec, eta: 4:29:33 +[2022/05/18 17:30:28] ppcls INFO: [Train][Epoch 1/30][Iter: 520/1347]lr: 0.00309, CELoss: 12.43121, loss: 12.43121, batch_cost: 0.40550s, reader_cost: 0.02860, ips: 631.32354 images/sec, eta: 4:29:35 +[2022/05/18 17:30:32] ppcls INFO: [Train][Epoch 1/30][Iter: 530/1347]lr: 0.00315, CELoss: 12.38994, loss: 12.38994, batch_cost: 0.40485s, reader_cost: 0.02807, ips: 632.33478 images/sec, eta: 4:29:05 +[2022/05/18 17:30:36] ppcls INFO: [Train][Epoch 1/30][Iter: 540/1347]lr: 0.00321, CELoss: 12.34694, loss: 12.34694, batch_cost: 0.40424s, reader_cost: 0.02756, ips: 633.28226 images/sec, eta: 4:28:37 +[2022/05/18 17:30:39] ppcls INFO: [Train][Epoch 1/30][Iter: 550/1347]lr: 0.00327, CELoss: 12.30610, loss: 12.30610, batch_cost: 0.40379s, reader_cost: 0.02720, ips: 633.99316 images/sec, eta: 4:28:15 +[2022/05/18 17:30:43] ppcls INFO: [Train][Epoch 1/30][Iter: 560/1347]lr: 0.00333, CELoss: 12.26583, loss: 12.26583, batch_cost: 0.40337s, reader_cost: 0.02689, ips: 634.65673 images/sec, eta: 4:27:54 +[2022/05/18 17:30:47] ppcls INFO: [Train][Epoch 1/30][Iter: 570/1347]lr: 0.00339, CELoss: 12.22349, loss: 12.22349, batch_cost: 0.40302s, reader_cost: 0.02663, ips: 635.20126 images/sec, eta: 4:27:36 +[2022/05/18 17:30:51] ppcls INFO: [Train][Epoch 1/30][Iter: 580/1347]lr: 0.00345, CELoss: 12.18690, loss: 12.18690, batch_cost: 0.40272s, reader_cost: 0.02645, ips: 635.67003 images/sec, eta: 4:27:20 +[2022/05/18 17:30:55] ppcls INFO: [Train][Epoch 1/30][Iter: 590/1347]lr: 0.00351, CELoss: 12.14331, loss: 12.14331, batch_cost: 0.40268s, reader_cost: 0.02652, ips: 635.74223 images/sec, eta: 4:27:14 +[2022/05/18 17:30:59] ppcls INFO: [Train][Epoch 1/30][Iter: 600/1347]lr: 0.00357, CELoss: 12.10436, loss: 12.10436, batch_cost: 0.40270s, reader_cost: 0.02657, ips: 635.70781 images/sec, eta: 4:27:11 +[2022/05/18 17:31:03] ppcls INFO: [Train][Epoch 1/30][Iter: 610/1347]lr: 0.00363, CELoss: 12.06555, loss: 12.06555, batch_cost: 0.40244s, reader_cost: 0.02638, ips: 636.11948 images/sec, eta: 4:26:57 +[2022/05/18 17:31:07] ppcls INFO: [Train][Epoch 1/30][Iter: 620/1347]lr: 0.00369, CELoss: 12.02598, loss: 12.02598, batch_cost: 0.40212s, reader_cost: 0.02605, ips: 636.62485 images/sec, eta: 4:26:40 +[2022/05/18 17:31:10] ppcls INFO: [Train][Epoch 1/30][Iter: 630/1347]lr: 0.00375, CELoss: 11.98518, loss: 11.98518, batch_cost: 0.40167s, reader_cost: 0.02567, ips: 637.34133 images/sec, eta: 4:26:18 +[2022/05/18 17:31:14] ppcls INFO: [Train][Epoch 1/30][Iter: 640/1347]lr: 0.00381, CELoss: 11.94485, loss: 11.94485, batch_cost: 0.40127s, reader_cost: 0.02530, ips: 637.97934 images/sec, eta: 4:25:58 +[2022/05/18 17:31:18] ppcls INFO: [Train][Epoch 1/30][Iter: 650/1347]lr: 0.00387, CELoss: 11.90638, loss: 11.90638, batch_cost: 0.40085s, reader_cost: 0.02499, ips: 638.64702 images/sec, eta: 4:25:37 +[2022/05/18 17:31:22] ppcls INFO: [Train][Epoch 1/30][Iter: 660/1347]lr: 0.00393, CELoss: 11.86584, loss: 11.86584, batch_cost: 0.40035s, reader_cost: 0.02461, ips: 639.44487 images/sec, eta: 4:25:13 +[2022/05/18 17:31:25] ppcls INFO: [Train][Epoch 1/30][Iter: 670/1347]lr: 0.00399, CELoss: 11.82518, loss: 11.82518, batch_cost: 0.40013s, reader_cost: 0.02426, ips: 639.79177 images/sec, eta: 4:25:01 +[2022/05/18 17:31:29] ppcls INFO: [Train][Epoch 1/30][Iter: 680/1347]lr: 0.00404, CELoss: 11.78365, loss: 11.78365, batch_cost: 0.40019s, reader_cost: 0.02421, ips: 639.70362 images/sec, eta: 4:24:59 +[2022/05/18 17:31:34] ppcls INFO: [Train][Epoch 1/30][Iter: 690/1347]lr: 0.00410, CELoss: 11.74283, loss: 11.74283, batch_cost: 0.40091s, reader_cost: 0.02496, ips: 638.54569 images/sec, eta: 4:25:24 +[2022/05/18 17:31:38] ppcls INFO: [Train][Epoch 1/30][Iter: 700/1347]lr: 0.00416, CELoss: 11.70239, loss: 11.70239, batch_cost: 0.40127s, reader_cost: 0.02529, ips: 637.96938 images/sec, eta: 4:25:34 +[2022/05/18 17:31:42] ppcls INFO: [Train][Epoch 1/30][Iter: 710/1347]lr: 0.00422, CELoss: 11.66402, loss: 11.66402, batch_cost: 0.40131s, reader_cost: 0.02534, ips: 637.91232 images/sec, eta: 4:25:31 +[2022/05/18 17:31:46] ppcls INFO: [Train][Epoch 1/30][Iter: 720/1347]lr: 0.00428, CELoss: 11.62585, loss: 11.62585, batch_cost: 0.40095s, reader_cost: 0.02500, ips: 638.47851 images/sec, eta: 4:25:13 +[2022/05/18 17:31:50] ppcls INFO: [Train][Epoch 1/30][Iter: 730/1347]lr: 0.00434, CELoss: 11.58706, loss: 11.58706, batch_cost: 0.40056s, reader_cost: 0.02472, ips: 639.10033 images/sec, eta: 4:24:54 +[2022/05/18 17:31:53] ppcls INFO: [Train][Epoch 1/30][Iter: 740/1347]lr: 0.00440, CELoss: 11.54454, loss: 11.54454, batch_cost: 0.40018s, reader_cost: 0.02439, ips: 639.71675 images/sec, eta: 4:24:35 +[2022/05/18 17:31:57] ppcls INFO: [Train][Epoch 1/30][Iter: 750/1347]lr: 0.00446, CELoss: 11.50489, loss: 11.50489, batch_cost: 0.40001s, reader_cost: 0.02407, ips: 639.98390 images/sec, eta: 4:24:24 +[2022/05/18 17:32:01] ppcls INFO: [Train][Epoch 1/30][Iter: 760/1347]lr: 0.00452, CELoss: 11.46538, loss: 11.46538, batch_cost: 0.39995s, reader_cost: 0.02377, ips: 640.07392 images/sec, eta: 4:24:18 +[2022/05/18 17:32:05] ppcls INFO: [Train][Epoch 1/30][Iter: 770/1347]lr: 0.00458, CELoss: 11.42561, loss: 11.42561, batch_cost: 0.40001s, reader_cost: 0.02370, ips: 639.98635 images/sec, eta: 4:24:16 +[2022/05/18 17:32:09] ppcls INFO: [Train][Epoch 1/30][Iter: 780/1347]lr: 0.00464, CELoss: 11.38629, loss: 11.38629, batch_cost: 0.39996s, reader_cost: 0.02375, ips: 640.07180 images/sec, eta: 4:24:10 +[2022/05/18 17:32:13] ppcls INFO: [Train][Epoch 1/30][Iter: 790/1347]lr: 0.00470, CELoss: 11.34683, loss: 11.34683, batch_cost: 0.39971s, reader_cost: 0.02358, ips: 640.47133 images/sec, eta: 4:23:56 +[2022/05/18 17:32:17] ppcls INFO: [Train][Epoch 1/30][Iter: 800/1347]lr: 0.00476, CELoss: 11.30781, loss: 11.30781, batch_cost: 0.39950s, reader_cost: 0.02341, ips: 640.79573 images/sec, eta: 4:23:44 +[2022/05/18 17:32:21] ppcls INFO: [Train][Epoch 1/30][Iter: 810/1347]lr: 0.00482, CELoss: 11.27046, loss: 11.27046, batch_cost: 0.39946s, reader_cost: 0.02341, ips: 640.85994 images/sec, eta: 4:23:38 +[2022/05/18 17:32:25] ppcls INFO: [Train][Epoch 1/30][Iter: 820/1347]lr: 0.00488, CELoss: 11.23274, loss: 11.23274, batch_cost: 0.39983s, reader_cost: 0.02377, ips: 640.27292 images/sec, eta: 4:23:49 +[2022/05/18 17:32:29] ppcls INFO: [Train][Epoch 1/30][Iter: 830/1347]lr: 0.00494, CELoss: 11.19424, loss: 11.19424, batch_cost: 0.39991s, reader_cost: 0.02384, ips: 640.14875 images/sec, eta: 4:23:48 +[2022/05/18 17:32:33] ppcls INFO: [Train][Epoch 1/30][Iter: 840/1347]lr: 0.00499, CELoss: 11.15852, loss: 11.15852, batch_cost: 0.39967s, reader_cost: 0.02356, ips: 640.53046 images/sec, eta: 4:23:34 +[2022/05/18 17:32:37] ppcls INFO: [Train][Epoch 1/30][Iter: 850/1347]lr: 0.00505, CELoss: 11.12188, loss: 11.12188, batch_cost: 0.39957s, reader_cost: 0.02331, ips: 640.68928 images/sec, eta: 4:23:26 +[2022/05/18 17:32:41] ppcls INFO: [Train][Epoch 1/30][Iter: 860/1347]lr: 0.00511, CELoss: 11.08597, loss: 11.08597, batch_cost: 0.39937s, reader_cost: 0.02304, ips: 641.01312 images/sec, eta: 4:23:14 +[2022/05/18 17:32:45] ppcls INFO: [Train][Epoch 1/30][Iter: 870/1347]lr: 0.00517, CELoss: 11.04823, loss: 11.04823, batch_cost: 0.39976s, reader_cost: 0.02324, ips: 640.39108 images/sec, eta: 4:23:26 +[2022/05/18 17:32:50] ppcls INFO: [Train][Epoch 1/30][Iter: 880/1347]lr: 0.00523, CELoss: 11.01290, loss: 11.01290, batch_cost: 0.40035s, reader_cost: 0.02377, ips: 639.43892 images/sec, eta: 4:23:45 +[2022/05/18 17:32:54] ppcls INFO: [Train][Epoch 1/30][Iter: 890/1347]lr: 0.00529, CELoss: 10.97732, loss: 10.97732, batch_cost: 0.40058s, reader_cost: 0.02408, ips: 639.06706 images/sec, eta: 4:23:51 +[2022/05/18 17:32:58] ppcls INFO: [Train][Epoch 1/30][Iter: 900/1347]lr: 0.00535, CELoss: 10.94286, loss: 10.94286, batch_cost: 0.40056s, reader_cost: 0.02403, ips: 639.09987 images/sec, eta: 4:23:46 +[2022/05/18 17:33:02] ppcls INFO: [Train][Epoch 1/30][Iter: 910/1347]lr: 0.00541, CELoss: 10.90470, loss: 10.90470, batch_cost: 0.40056s, reader_cost: 0.02399, ips: 639.09916 images/sec, eta: 4:23:42 +[2022/05/18 17:33:06] ppcls INFO: [Train][Epoch 1/30][Iter: 920/1347]lr: 0.00547, CELoss: 10.86808, loss: 10.86808, batch_cost: 0.40056s, reader_cost: 0.02405, ips: 639.10048 images/sec, eta: 4:23:38 +[2022/05/18 17:33:10] ppcls INFO: [Train][Epoch 1/30][Iter: 930/1347]lr: 0.00553, CELoss: 10.83267, loss: 10.83267, batch_cost: 0.40093s, reader_cost: 0.02430, ips: 638.52246 images/sec, eta: 4:23:48 +[2022/05/18 17:33:15] ppcls INFO: [Train][Epoch 1/30][Iter: 940/1347]lr: 0.00559, CELoss: 10.79941, loss: 10.79941, batch_cost: 0.40140s, reader_cost: 0.02479, ips: 637.76008 images/sec, eta: 4:24:03 +[2022/05/18 17:33:19] ppcls INFO: [Train][Epoch 1/30][Iter: 950/1347]lr: 0.00565, CELoss: 10.76357, loss: 10.76357, batch_cost: 0.40122s, reader_cost: 0.02470, ips: 638.05164 images/sec, eta: 4:23:52 +[2022/05/18 17:33:22] ppcls INFO: [Train][Epoch 1/30][Iter: 960/1347]lr: 0.00571, CELoss: 10.72877, loss: 10.72877, batch_cost: 0.40113s, reader_cost: 0.02467, ips: 638.19879 images/sec, eta: 4:23:44 +[2022/05/18 17:33:26] ppcls INFO: [Train][Epoch 1/30][Iter: 970/1347]lr: 0.00577, CELoss: 10.69444, loss: 10.69444, batch_cost: 0.40095s, reader_cost: 0.02458, ips: 638.47712 images/sec, eta: 4:23:33 +[2022/05/18 17:33:30] ppcls INFO: [Train][Epoch 1/30][Iter: 980/1347]lr: 0.00583, CELoss: 10.65950, loss: 10.65950, batch_cost: 0.40101s, reader_cost: 0.02471, ips: 638.38264 images/sec, eta: 4:23:31 +[2022/05/18 17:33:34] ppcls INFO: [Train][Epoch 1/30][Iter: 990/1347]lr: 0.00589, CELoss: 10.62662, loss: 10.62662, batch_cost: 0.40093s, reader_cost: 0.02476, ips: 638.51420 images/sec, eta: 4:23:24 +[2022/05/18 17:33:38] ppcls INFO: [Train][Epoch 1/30][Iter: 1000/1347]lr: 0.00595, CELoss: 10.59319, loss: 10.59319, batch_cost: 0.40108s, reader_cost: 0.02498, ips: 638.27660 images/sec, eta: 4:23:26 +[2022/05/18 17:33:43] ppcls INFO: [Train][Epoch 1/30][Iter: 1010/1347]lr: 0.00600, CELoss: 10.55859, loss: 10.55859, batch_cost: 0.40121s, reader_cost: 0.02519, ips: 638.06366 images/sec, eta: 4:23:27 +[2022/05/18 17:33:47] ppcls INFO: [Train][Epoch 1/30][Iter: 1020/1347]lr: 0.00606, CELoss: 10.52407, loss: 10.52407, batch_cost: 0.40129s, reader_cost: 0.02533, ips: 637.93844 images/sec, eta: 4:23:26 +[2022/05/18 17:33:51] ppcls INFO: [Train][Epoch 1/30][Iter: 1030/1347]lr: 0.00612, CELoss: 10.48986, loss: 10.48986, batch_cost: 0.40109s, reader_cost: 0.02521, ips: 638.26409 images/sec, eta: 4:23:14 +[2022/05/18 17:33:55] ppcls INFO: [Train][Epoch 1/30][Iter: 1040/1347]lr: 0.00618, CELoss: 10.45689, loss: 10.45689, batch_cost: 0.40119s, reader_cost: 0.02521, ips: 638.10885 images/sec, eta: 4:23:14 +[2022/05/18 17:33:59] ppcls INFO: [Train][Epoch 1/30][Iter: 1050/1347]lr: 0.00624, CELoss: 10.42481, loss: 10.42481, batch_cost: 0.40138s, reader_cost: 0.02526, ips: 637.79617 images/sec, eta: 4:23:18 +[2022/05/18 17:34:04] ppcls INFO: [Train][Epoch 1/30][Iter: 1060/1347]lr: 0.00630, CELoss: 10.39167, loss: 10.39167, batch_cost: 0.40199s, reader_cost: 0.02569, ips: 636.82984 images/sec, eta: 4:23:38 +[2022/05/18 17:34:08] ppcls INFO: [Train][Epoch 1/30][Iter: 1070/1347]lr: 0.00636, CELoss: 10.35996, loss: 10.35996, batch_cost: 0.40236s, reader_cost: 0.02607, ips: 636.25262 images/sec, eta: 4:23:48 +[2022/05/18 17:34:12] ppcls INFO: [Train][Epoch 1/30][Iter: 1080/1347]lr: 0.00642, CELoss: 10.32856, loss: 10.32856, batch_cost: 0.40242s, reader_cost: 0.02619, ips: 636.15635 images/sec, eta: 4:23:47 +[2022/05/18 17:34:16] ppcls INFO: [Train][Epoch 1/30][Iter: 1090/1347]lr: 0.00648, CELoss: 10.29650, loss: 10.29650, batch_cost: 0.40234s, reader_cost: 0.02608, ips: 636.28109 images/sec, eta: 4:23:39 +[2022/05/18 17:34:20] ppcls INFO: [Train][Epoch 1/30][Iter: 1100/1347]lr: 0.00654, CELoss: 10.26333, loss: 10.26333, batch_cost: 0.40225s, reader_cost: 0.02600, ips: 636.42787 images/sec, eta: 4:23:32 +[2022/05/18 17:34:24] ppcls INFO: [Train][Epoch 1/30][Iter: 1110/1347]lr: 0.00660, CELoss: 10.23169, loss: 10.23169, batch_cost: 0.40208s, reader_cost: 0.02588, ips: 636.68499 images/sec, eta: 4:23:21 +[2022/05/18 17:34:28] ppcls INFO: [Train][Epoch 1/30][Iter: 1120/1347]lr: 0.00666, CELoss: 10.20190, loss: 10.20190, batch_cost: 0.40201s, reader_cost: 0.02587, ips: 636.80475 images/sec, eta: 4:23:14 +[2022/05/18 17:34:32] ppcls INFO: [Train][Epoch 1/30][Iter: 1130/1347]lr: 0.00672, CELoss: 10.17203, loss: 10.17203, batch_cost: 0.40199s, reader_cost: 0.02587, ips: 636.83387 images/sec, eta: 4:23:10 +[2022/05/18 17:34:36] ppcls INFO: [Train][Epoch 1/30][Iter: 1140/1347]lr: 0.00678, CELoss: 10.13926, loss: 10.13926, batch_cost: 0.40212s, reader_cost: 0.02598, ips: 636.62603 images/sec, eta: 4:23:11 +[2022/05/18 17:34:40] ppcls INFO: [Train][Epoch 1/30][Iter: 1150/1347]lr: 0.00684, CELoss: 10.11018, loss: 10.11018, batch_cost: 0.40213s, reader_cost: 0.02601, ips: 636.61326 images/sec, eta: 4:23:07 +[2022/05/18 17:34:44] ppcls INFO: [Train][Epoch 1/30][Iter: 1160/1347]lr: 0.00690, CELoss: 10.07973, loss: 10.07973, batch_cost: 0.40187s, reader_cost: 0.02579, ips: 637.02266 images/sec, eta: 4:22:53 +[2022/05/18 17:34:47] ppcls INFO: [Train][Epoch 1/30][Iter: 1170/1347]lr: 0.00695, CELoss: 10.04835, loss: 10.04835, batch_cost: 0.40170s, reader_cost: 0.02559, ips: 637.28458 images/sec, eta: 4:22:42 +[2022/05/18 17:34:51] ppcls INFO: [Train][Epoch 1/30][Iter: 1180/1347]lr: 0.00701, CELoss: 10.01950, loss: 10.01950, batch_cost: 0.40156s, reader_cost: 0.02543, ips: 637.51218 images/sec, eta: 4:22:33 +[2022/05/18 17:34:55] ppcls INFO: [Train][Epoch 1/30][Iter: 1190/1347]lr: 0.00707, CELoss: 9.99090, loss: 9.99090, batch_cost: 0.40141s, reader_cost: 0.02528, ips: 637.75855 images/sec, eta: 4:22:23 +[2022/05/18 17:34:59] ppcls INFO: [Train][Epoch 1/30][Iter: 1200/1347]lr: 0.00713, CELoss: 9.96160, loss: 9.96160, batch_cost: 0.40122s, reader_cost: 0.02511, ips: 638.05499 images/sec, eta: 4:22:11 +[2022/05/18 17:35:03] ppcls INFO: [Train][Epoch 1/30][Iter: 1210/1347]lr: 0.00719, CELoss: 9.93216, loss: 9.93216, batch_cost: 0.40101s, reader_cost: 0.02492, ips: 638.39009 images/sec, eta: 4:21:59 +[2022/05/18 17:35:07] ppcls INFO: [Train][Epoch 1/30][Iter: 1220/1347]lr: 0.00725, CELoss: 9.90361, loss: 9.90361, batch_cost: 0.40093s, reader_cost: 0.02472, ips: 638.50988 images/sec, eta: 4:21:52 +[2022/05/18 17:35:10] ppcls INFO: [Train][Epoch 1/30][Iter: 1230/1347]lr: 0.00731, CELoss: 9.87568, loss: 9.87568, batch_cost: 0.40078s, reader_cost: 0.02452, ips: 638.75535 images/sec, eta: 4:21:42 +[2022/05/18 17:35:15] ppcls INFO: [Train][Epoch 1/30][Iter: 1240/1347]lr: 0.00737, CELoss: 9.84616, loss: 9.84616, batch_cost: 0.40097s, reader_cost: 0.02465, ips: 638.45212 images/sec, eta: 4:21:45 +[2022/05/18 17:35:19] ppcls INFO: [Train][Epoch 1/30][Iter: 1250/1347]lr: 0.00743, CELoss: 9.81797, loss: 9.81797, batch_cost: 0.40130s, reader_cost: 0.02493, ips: 637.92629 images/sec, eta: 4:21:54 +[2022/05/18 17:35:23] ppcls INFO: [Train][Epoch 1/30][Iter: 1260/1347]lr: 0.00749, CELoss: 9.78999, loss: 9.78999, batch_cost: 0.40151s, reader_cost: 0.02506, ips: 637.59308 images/sec, eta: 4:21:59 +[2022/05/18 17:35:27] ppcls INFO: [Train][Epoch 1/30][Iter: 1270/1347]lr: 0.00755, CELoss: 9.75996, loss: 9.75996, batch_cost: 0.40126s, reader_cost: 0.02487, ips: 637.98946 images/sec, eta: 4:21:45 +[2022/05/18 17:35:31] ppcls INFO: [Train][Epoch 1/30][Iter: 1280/1347]lr: 0.00761, CELoss: 9.73260, loss: 9.73260, batch_cost: 0.40102s, reader_cost: 0.02468, ips: 638.37987 images/sec, eta: 4:21:31 +[2022/05/18 17:35:34] ppcls INFO: [Train][Epoch 1/30][Iter: 1290/1347]lr: 0.00767, CELoss: 9.70482, loss: 9.70482, batch_cost: 0.40075s, reader_cost: 0.02449, ips: 638.80912 images/sec, eta: 4:21:17 +[2022/05/18 17:35:38] ppcls INFO: [Train][Epoch 1/30][Iter: 1300/1347]lr: 0.00773, CELoss: 9.67653, loss: 9.67653, batch_cost: 0.40066s, reader_cost: 0.02442, ips: 638.94368 images/sec, eta: 4:21:09 +[2022/05/18 17:35:42] ppcls INFO: [Train][Epoch 1/30][Iter: 1310/1347]lr: 0.00779, CELoss: 9.64799, loss: 9.64799, batch_cost: 0.40053s, reader_cost: 0.02437, ips: 639.15275 images/sec, eta: 4:21:00 +[2022/05/18 17:35:46] ppcls INFO: [Train][Epoch 1/30][Iter: 1320/1347]lr: 0.00785, CELoss: 9.62083, loss: 9.62083, batch_cost: 0.40031s, reader_cost: 0.02421, ips: 639.49927 images/sec, eta: 4:20:48 +[2022/05/18 17:35:50] ppcls INFO: [Train][Epoch 1/30][Iter: 1330/1347]lr: 0.00790, CELoss: 9.59450, loss: 9.59450, batch_cost: 0.40012s, reader_cost: 0.02403, ips: 639.81380 images/sec, eta: 4:20:36 +[2022/05/18 17:35:53] ppcls INFO: [Train][Epoch 1/30][Iter: 1340/1347]lr: 0.00796, CELoss: 9.56640, loss: 9.56640, batch_cost: 0.39993s, reader_cost: 0.02387, ips: 640.10644 images/sec, eta: 4:20:25 +[2022/05/18 17:35:56] ppcls INFO: [Train][Epoch 1/30][Avg]CELoss: 9.55021, loss: 9.55021 +[2022/05/18 17:35:57] ppcls INFO: gallery feature calculation process: [0/617] +[2022/05/18 17:35:57] ppcls INFO: gallery feature calculation process: [10/617] +[2022/05/18 17:35:58] ppcls INFO: gallery feature calculation process: [20/617] +[2022/05/18 17:35:59] ppcls INFO: gallery feature calculation process: [30/617] +[2022/05/18 17:35:59] ppcls INFO: gallery feature calculation process: [40/617] +[2022/05/18 17:36:00] ppcls INFO: gallery feature calculation process: [50/617] +[2022/05/18 17:36:01] ppcls INFO: gallery feature 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+[2022/05/18 17:36:19] ppcls INFO: gallery feature calculation process: [310/617] +[2022/05/18 17:36:19] ppcls INFO: gallery feature calculation process: [320/617] +[2022/05/18 17:36:20] ppcls INFO: gallery feature calculation process: [330/617] +[2022/05/18 17:36:21] ppcls INFO: gallery feature calculation process: [340/617] +[2022/05/18 17:36:22] ppcls INFO: gallery feature calculation process: [350/617] +[2022/05/18 17:36:23] ppcls INFO: gallery feature calculation process: [360/617] +[2022/05/18 17:36:24] ppcls INFO: gallery feature calculation process: [370/617] +[2022/05/18 17:36:25] ppcls INFO: gallery feature calculation process: [380/617] +[2022/05/18 17:36:26] ppcls INFO: gallery feature calculation process: [390/617] +[2022/05/18 17:36:27] ppcls INFO: gallery feature calculation process: [400/617] +[2022/05/18 17:36:27] ppcls INFO: gallery feature calculation process: [410/617] +[2022/05/18 17:36:28] ppcls INFO: gallery feature calculation process: [420/617] +[2022/05/18 17:36:29] ppcls INFO: gallery feature calculation process: [430/617] +[2022/05/18 17:36:30] ppcls INFO: gallery feature calculation process: [440/617] +[2022/05/18 17:36:31] ppcls INFO: gallery feature calculation process: [450/617] +[2022/05/18 17:36:32] ppcls INFO: gallery feature calculation process: [460/617] +[2022/05/18 17:36:32] ppcls INFO: gallery feature calculation process: [470/617] +[2022/05/18 17:36:33] ppcls INFO: gallery feature calculation process: [480/617] +[2022/05/18 17:36:34] ppcls INFO: gallery feature calculation process: [490/617] +[2022/05/18 17:36:35] ppcls INFO: gallery feature calculation process: [500/617] +[2022/05/18 17:36:36] ppcls INFO: gallery feature calculation process: [510/617] +[2022/05/18 17:36:36] ppcls INFO: gallery feature calculation process: [520/617] +[2022/05/18 17:36:37] ppcls INFO: gallery feature calculation process: [530/617] +[2022/05/18 17:36:38] ppcls INFO: gallery feature calculation process: [540/617] +[2022/05/18 17:36:39] ppcls INFO: gallery feature calculation process: [550/617] +[2022/05/18 17:36:39] ppcls INFO: gallery feature calculation process: [560/617] +[2022/05/18 17:36:40] ppcls INFO: gallery feature calculation process: [570/617] +[2022/05/18 17:36:41] ppcls INFO: gallery feature calculation process: [580/617] +[2022/05/18 17:36:41] ppcls INFO: gallery feature calculation process: [590/617] +[2022/05/18 17:36:42] ppcls INFO: gallery feature calculation process: [600/617] +[2022/05/18 17:36:43] ppcls INFO: gallery feature calculation process: [610/617] +[2022/05/18 17:36:43] ppcls INFO: Build gallery done, all feat shape: [39457, 1280], begin to eval.. +[2022/05/18 17:36:44] ppcls INFO: query feature calculation process: [0/617] +[2022/05/18 17:36:45] ppcls INFO: query feature calculation process: [10/617] +[2022/05/18 17:36:46] ppcls INFO: query feature calculation process: [20/617] +[2022/05/18 17:36:46] ppcls INFO: query feature calculation process: [30/617] +[2022/05/18 17:36:47] ppcls INFO: query feature calculation process: [40/617] +[2022/05/18 17:36:48] ppcls INFO: query feature calculation process: [50/617] +[2022/05/18 17:36:48] ppcls INFO: query feature calculation process: [60/617] +[2022/05/18 17:36:49] ppcls INFO: query feature calculation process: [70/617] +[2022/05/18 17:36:50] ppcls INFO: query feature calculation process: [80/617] +[2022/05/18 17:36:50] ppcls INFO: query feature calculation process: [90/617] +[2022/05/18 17:36:51] ppcls INFO: query feature calculation process: [100/617] +[2022/05/18 17:36:52] ppcls INFO: query feature calculation process: [110/617] +[2022/05/18 17:36:52] ppcls INFO: query feature calculation process: [120/617] +[2022/05/18 17:36:53] ppcls INFO: query feature calculation process: [130/617] +[2022/05/18 17:36:54] ppcls INFO: query feature calculation process: [140/617] +[2022/05/18 17:36:54] ppcls INFO: query feature calculation process: [150/617] +[2022/05/18 17:36:55] ppcls INFO: query feature calculation process: [160/617] +[2022/05/18 17:36:56] ppcls INFO: query feature calculation process: [170/617] +[2022/05/18 17:36:57] ppcls INFO: query feature calculation process: [180/617] +[2022/05/18 17:36:57] ppcls INFO: query feature calculation process: [190/617] +[2022/05/18 17:36:58] ppcls INFO: query feature calculation process: [200/617] +[2022/05/18 17:36:59] ppcls INFO: query feature calculation process: [210/617] +[2022/05/18 17:36:59] ppcls INFO: query feature calculation process: [220/617] +[2022/05/18 17:37:00] ppcls INFO: query feature calculation process: [230/617] +[2022/05/18 17:37:01] ppcls INFO: query feature calculation process: [240/617] +[2022/05/18 17:37:02] ppcls INFO: query feature calculation process: [250/617] +[2022/05/18 17:37:02] ppcls INFO: query feature calculation process: [260/617] +[2022/05/18 17:37:03] ppcls INFO: query feature calculation process: [270/617] +[2022/05/18 17:37:04] ppcls INFO: query feature calculation process: [280/617] +[2022/05/18 17:37:05] ppcls INFO: query feature calculation process: [290/617] +[2022/05/18 17:37:05] ppcls INFO: query feature calculation process: [300/617] +[2022/05/18 17:37:06] ppcls INFO: query feature calculation process: [310/617] +[2022/05/18 17:37:07] ppcls INFO: query feature calculation process: [320/617] +[2022/05/18 17:37:08] ppcls INFO: query feature calculation process: [330/617] +[2022/05/18 17:37:08] ppcls INFO: query feature calculation process: [340/617] +[2022/05/18 17:37:09] ppcls INFO: query feature calculation process: [350/617] +[2022/05/18 17:37:09] ppcls INFO: query feature calculation process: [360/617] +[2022/05/18 17:37:10] ppcls INFO: query feature calculation process: [370/617] +[2022/05/18 17:37:11] ppcls INFO: query feature calculation process: [380/617] +[2022/05/18 17:37:12] ppcls INFO: query feature calculation process: [390/617] +[2022/05/18 17:37:13] ppcls INFO: query feature calculation process: [400/617] +[2022/05/18 17:37:13] ppcls INFO: query feature calculation process: [410/617] +[2022/05/18 17:37:14] ppcls INFO: query feature calculation process: [420/617] +[2022/05/18 17:37:15] ppcls INFO: query feature calculation process: [430/617] +[2022/05/18 17:37:15] ppcls INFO: query feature calculation process: [440/617] +[2022/05/18 17:37:16] ppcls INFO: query feature calculation process: [450/617] +[2022/05/18 17:37:17] ppcls INFO: query feature calculation process: [460/617] +[2022/05/18 17:37:17] ppcls INFO: query feature calculation process: [470/617] +[2022/05/18 17:37:18] ppcls INFO: query feature calculation process: [480/617] +[2022/05/18 17:37:19] ppcls INFO: query feature calculation process: [490/617] +[2022/05/18 17:37:20] ppcls INFO: query feature calculation process: [500/617] +[2022/05/18 17:37:20] ppcls INFO: query feature calculation process: [510/617] +[2022/05/18 17:37:21] ppcls INFO: query feature calculation process: [520/617] +[2022/05/18 17:37:22] ppcls INFO: query feature calculation process: [530/617] +[2022/05/18 17:37:23] ppcls INFO: query feature calculation process: [540/617] +[2022/05/18 17:37:24] ppcls INFO: query feature calculation process: [550/617] +[2022/05/18 17:37:25] ppcls INFO: query feature calculation process: [560/617] +[2022/05/18 17:37:26] ppcls INFO: query feature calculation process: [570/617] +[2022/05/18 17:37:27] ppcls INFO: query feature calculation process: [580/617] +[2022/05/18 17:37:28] ppcls INFO: query feature calculation process: [590/617] +[2022/05/18 17:37:28] ppcls INFO: query feature calculation process: [600/617] +[2022/05/18 17:37:29] ppcls INFO: query feature calculation process: [610/617] +[2022/05/18 17:37:30] ppcls INFO: Build query done, all feat shape: [39457, 1280], begin to eval.. +[2022/05/18 17:37:32] ppcls INFO: [Eval][Epoch 1][Avg]recall1: 0.88354, recall5: 0.94411 +[2022/05/18 17:37:32] ppcls INFO: Already save model in ./output/RecModel/best_model +[2022/05/18 17:37:32] ppcls INFO: [Eval][Epoch 1][best metric: 0.8835359991909509] +[2022/05/18 17:37:33] ppcls INFO: Already save model in ./output/RecModel/epoch_1 +[2022/05/18 17:37:33] ppcls INFO: Already save model in ./output/RecModel/latest +[2022/05/18 17:37:36] ppcls INFO: [Train][Epoch 2/30][Iter: 0/1347]lr: 0.00801, CELoss: 5.58366, loss: 5.58366, batch_cost: 0.40125s, reader_cost: 0.02524, ips: 638.00674 images/sec, eta: 4:21:14 +[2022/05/18 17:37:40] ppcls INFO: [Train][Epoch 2/30][Iter: 10/1347]lr: 0.00807, CELoss: 5.82754, loss: 5.82754, batch_cost: 0.43984s, reader_cost: 0.04873, ips: 582.03546 images/sec, eta: 4:46:16 +[2022/05/18 17:37:44] ppcls INFO: [Train][Epoch 2/30][Iter: 20/1347]lr: 0.00812, CELoss: 5.77235, loss: 5.77235, batch_cost: 0.43121s, reader_cost: 0.04425, ips: 593.67254 images/sec, eta: 4:40:35 +[2022/05/18 17:37:48] ppcls INFO: [Train][Epoch 2/30][Iter: 30/1347]lr: 0.00818, CELoss: 5.75563, loss: 5.75563, batch_cost: 0.41175s, reader_cost: 0.03193, ips: 621.73241 images/sec, eta: 4:27:51 +[2022/05/18 17:37:53] ppcls INFO: [Train][Epoch 2/30][Iter: 40/1347]lr: 0.00824, CELoss: 5.74820, loss: 5.74820, batch_cost: 0.43185s, reader_cost: 0.05242, ips: 592.80491 images/sec, eta: 4:40:51 +[2022/05/18 17:37:57] ppcls INFO: [Train][Epoch 2/30][Iter: 50/1347]lr: 0.00830, CELoss: 5.74518, loss: 5.74518, batch_cost: 0.43834s, reader_cost: 0.05624, ips: 584.02193 images/sec, eta: 4:45:00 +[2022/05/18 17:38:01] ppcls INFO: [Train][Epoch 2/30][Iter: 60/1347]lr: 0.00836, CELoss: 5.73700, loss: 5.73700, batch_cost: 0.42788s, reader_cost: 0.04841, ips: 598.29211 images/sec, eta: 4:38:08 +[2022/05/18 17:38:05] ppcls INFO: [Train][Epoch 2/30][Iter: 70/1347]lr: 0.00842, CELoss: 5.73641, loss: 5.73641, batch_cost: 0.42116s, reader_cost: 0.04289, ips: 607.84753 images/sec, eta: 4:33:42 +[2022/05/18 17:38:09] ppcls INFO: [Train][Epoch 2/30][Iter: 80/1347]lr: 0.00848, CELoss: 5.72676, loss: 5.72676, batch_cost: 0.41497s, reader_cost: 0.03732, ips: 616.91414 images/sec, eta: 4:29:36 +[2022/05/18 17:38:12] ppcls INFO: [Train][Epoch 2/30][Iter: 90/1347]lr: 0.00854, CELoss: 5.70698, loss: 5.70698, batch_cost: 0.40973s, reader_cost: 0.03305, ips: 624.80227 images/sec, eta: 4:26:08 +[2022/05/18 17:38:16] ppcls INFO: [Train][Epoch 2/30][Iter: 100/1347]lr: 0.00860, CELoss: 5.69880, loss: 5.69880, batch_cost: 0.40870s, reader_cost: 0.03226, ips: 626.37571 images/sec, eta: 4:25:24 +[2022/05/18 17:38:20] ppcls INFO: [Train][Epoch 2/30][Iter: 110/1347]lr: 0.00866, CELoss: 5.69261, loss: 5.69261, batch_cost: 0.40506s, reader_cost: 0.02927, ips: 632.00534 images/sec, eta: 4:22:58 +[2022/05/18 17:38:24] ppcls INFO: [Train][Epoch 2/30][Iter: 120/1347]lr: 0.00872, CELoss: 5.68072, loss: 5.68072, batch_cost: 0.40202s, reader_cost: 0.02680, ips: 636.78190 images/sec, eta: 4:20:55 +[2022/05/18 17:38:28] ppcls INFO: [Train][Epoch 2/30][Iter: 130/1347]lr: 0.00878, CELoss: 5.67670, loss: 5.67670, batch_cost: 0.40107s, reader_cost: 0.02619, ips: 638.29433 images/sec, eta: 4:20:14 +[2022/05/18 17:38:32] ppcls INFO: [Train][Epoch 2/30][Iter: 140/1347]lr: 0.00884, CELoss: 5.65489, loss: 5.65489, batch_cost: 0.40017s, reader_cost: 0.02545, ips: 639.72654 images/sec, eta: 4:19:35 +[2022/05/18 17:38:36] ppcls INFO: [Train][Epoch 2/30][Iter: 150/1347]lr: 0.00890, CELoss: 5.63550, loss: 5.63550, batch_cost: 0.40018s, reader_cost: 0.02509, ips: 639.71923 images/sec, eta: 4:19:32 +[2022/05/18 17:38:40] ppcls INFO: [Train][Epoch 2/30][Iter: 160/1347]lr: 0.00896, CELoss: 5.62636, loss: 5.62636, batch_cost: 0.39932s, reader_cost: 0.02476, ips: 641.09002 images/sec, eta: 4:18:54 +[2022/05/18 17:38:43] ppcls INFO: [Train][Epoch 2/30][Iter: 170/1347]lr: 0.00902, CELoss: 5.61218, loss: 5.61218, batch_cost: 0.39784s, reader_cost: 0.02348, ips: 643.46759 images/sec, eta: 4:17:53 +[2022/05/18 17:38:48] ppcls INFO: [Train][Epoch 2/30][Iter: 180/1347]lr: 0.00907, CELoss: 5.58771, loss: 5.58771, batch_cost: 0.39941s, reader_cost: 0.02408, ips: 640.94627 images/sec, eta: 4:18:50 +[2022/05/18 17:38:52] ppcls INFO: [Train][Epoch 2/30][Iter: 190/1347]lr: 0.00913, CELoss: 5.56857, loss: 5.56857, batch_cost: 0.40225s, reader_cost: 0.02635, ips: 636.42201 images/sec, eta: 4:20:36 +[2022/05/18 17:38:56] ppcls INFO: [Train][Epoch 2/30][Iter: 200/1347]lr: 0.00919, CELoss: 5.56537, loss: 5.56537, batch_cost: 0.40317s, reader_cost: 0.02695, ips: 634.96543 images/sec, eta: 4:21:08 +[2022/05/18 17:39:00] ppcls INFO: [Train][Epoch 2/30][Iter: 210/1347]lr: 0.00925, CELoss: 5.55234, loss: 5.55234, batch_cost: 0.40313s, reader_cost: 0.02719, ips: 635.02355 images/sec, eta: 4:21:02 +[2022/05/18 17:39:04] ppcls INFO: [Train][Epoch 2/30][Iter: 220/1347]lr: 0.00931, CELoss: 5.54031, loss: 5.54031, batch_cost: 0.40224s, reader_cost: 0.02661, ips: 636.42879 images/sec, eta: 4:20:24 +[2022/05/18 17:39:08] ppcls INFO: [Train][Epoch 2/30][Iter: 230/1347]lr: 0.00937, CELoss: 5.52630, loss: 5.52630, batch_cost: 0.40097s, reader_cost: 0.02546, ips: 638.44613 images/sec, eta: 4:19:31 +[2022/05/18 17:39:12] ppcls INFO: [Train][Epoch 2/30][Iter: 240/1347]lr: 0.00943, CELoss: 5.51054, loss: 5.51054, batch_cost: 0.39992s, reader_cost: 0.02447, ips: 640.12467 images/sec, eta: 4:18:46 +[2022/05/18 17:39:15] ppcls INFO: [Train][Epoch 2/30][Iter: 250/1347]lr: 0.00949, CELoss: 5.49528, loss: 5.49528, batch_cost: 0.39888s, reader_cost: 0.02350, ips: 641.79975 images/sec, eta: 4:18:01 +[2022/05/18 17:39:19] ppcls INFO: [Train][Epoch 2/30][Iter: 260/1347]lr: 0.00955, CELoss: 5.47855, loss: 5.47855, batch_cost: 0.39792s, reader_cost: 0.02261, ips: 643.35012 images/sec, eta: 4:17:20 +[2022/05/18 17:39:23] ppcls INFO: [Train][Epoch 2/30][Iter: 270/1347]lr: 0.00961, CELoss: 5.47059, loss: 5.47059, batch_cost: 0.39746s, reader_cost: 0.02233, ips: 644.09545 images/sec, eta: 4:16:58 +[2022/05/18 17:39:27] ppcls INFO: [Train][Epoch 2/30][Iter: 280/1347]lr: 0.00967, CELoss: 5.45810, loss: 5.45810, batch_cost: 0.39661s, reader_cost: 0.02155, ips: 645.47211 images/sec, eta: 4:16:21 +[2022/05/18 17:39:31] ppcls INFO: [Train][Epoch 2/30][Iter: 290/1347]lr: 0.00973, CELoss: 5.44824, loss: 5.44824, batch_cost: 0.39623s, reader_cost: 0.02139, ips: 646.09321 images/sec, eta: 4:16:02 +[2022/05/18 17:39:34] ppcls INFO: [Train][Epoch 2/30][Iter: 300/1347]lr: 0.00979, CELoss: 5.43712, loss: 5.43712, batch_cost: 0.39527s, reader_cost: 0.02069, ips: 647.65533 images/sec, eta: 4:15:21 +[2022/05/18 17:39:38] ppcls INFO: [Train][Epoch 2/30][Iter: 310/1347]lr: 0.00985, CELoss: 5.42929, loss: 5.42929, batch_cost: 0.39509s, reader_cost: 0.02058, ips: 647.94668 images/sec, eta: 4:15:11 +[2022/05/18 17:39:42] ppcls INFO: [Train][Epoch 2/30][Iter: 320/1347]lr: 0.00991, CELoss: 5.41592, loss: 5.41592, batch_cost: 0.39514s, reader_cost: 0.02059, ips: 647.87819 images/sec, eta: 4:15:08 +[2022/05/18 17:39:46] ppcls INFO: [Train][Epoch 2/30][Iter: 330/1347]lr: 0.00997, CELoss: 5.40225, loss: 5.40225, batch_cost: 0.39485s, reader_cost: 0.02040, ips: 648.34934 images/sec, eta: 4:14:53 +[2022/05/18 17:39:50] ppcls INFO: [Train][Epoch 2/30][Iter: 340/1347]lr: 0.01003, CELoss: 5.39028, loss: 5.39028, batch_cost: 0.39434s, reader_cost: 0.01981, ips: 649.18095 images/sec, eta: 4:14:30 +[2022/05/18 17:39:54] ppcls INFO: [Train][Epoch 2/30][Iter: 350/1347]lr: 0.01008, CELoss: 5.37593, loss: 5.37593, batch_cost: 0.39439s, reader_cost: 0.01979, ips: 649.10276 images/sec, eta: 4:14:28 +[2022/05/18 17:39:58] ppcls INFO: [Train][Epoch 2/30][Iter: 360/1347]lr: 0.01014, CELoss: 5.36487, loss: 5.36487, batch_cost: 0.39454s, reader_cost: 0.01984, ips: 648.86091 images/sec, eta: 4:14:29 +[2022/05/18 17:40:02] ppcls INFO: [Train][Epoch 2/30][Iter: 370/1347]lr: 0.01020, CELoss: 5.35225, loss: 5.35225, batch_cost: 0.39532s, reader_cost: 0.02035, ips: 647.57280 images/sec, eta: 4:14:56 +[2022/05/18 17:40:07] ppcls INFO: [Train][Epoch 2/30][Iter: 380/1347]lr: 0.01026, CELoss: 5.34427, loss: 5.34427, batch_cost: 0.39693s, reader_cost: 0.02171, ips: 644.94842 images/sec, eta: 4:15:54 +[2022/05/18 17:40:11] ppcls INFO: [Train][Epoch 2/30][Iter: 390/1347]lr: 0.01032, CELoss: 5.33312, loss: 5.33312, batch_cost: 0.39737s, reader_cost: 0.02218, ips: 644.23184 images/sec, eta: 4:16:07 +[2022/05/18 17:40:14] ppcls INFO: [Train][Epoch 2/30][Iter: 400/1347]lr: 0.01038, CELoss: 5.32228, loss: 5.32228, batch_cost: 0.39698s, reader_cost: 0.02182, ips: 644.86498 images/sec, eta: 4:15:48 +[2022/05/18 17:40:18] ppcls INFO: [Train][Epoch 2/30][Iter: 410/1347]lr: 0.01044, CELoss: 5.31010, loss: 5.31010, batch_cost: 0.39653s, reader_cost: 0.02148, ips: 645.60537 images/sec, eta: 4:15:26 +[2022/05/18 17:40:22] ppcls INFO: [Train][Epoch 2/30][Iter: 420/1347]lr: 0.01050, CELoss: 5.29762, loss: 5.29762, batch_cost: 0.39675s, reader_cost: 0.02164, ips: 645.24903 images/sec, eta: 4:15:31 +[2022/05/18 17:40:26] ppcls INFO: [Train][Epoch 2/30][Iter: 430/1347]lr: 0.01056, CELoss: 5.28834, loss: 5.28834, batch_cost: 0.39649s, reader_cost: 0.02150, ips: 645.66423 images/sec, eta: 4:15:17 +[2022/05/18 17:40:30] ppcls INFO: [Train][Epoch 2/30][Iter: 440/1347]lr: 0.01062, CELoss: 5.27449, loss: 5.27449, batch_cost: 0.39622s, reader_cost: 0.02138, ips: 646.10158 images/sec, eta: 4:15:03 +[2022/05/18 17:40:34] ppcls INFO: [Train][Epoch 2/30][Iter: 450/1347]lr: 0.01068, CELoss: 5.26601, loss: 5.26601, batch_cost: 0.39574s, reader_cost: 0.02099, ips: 646.88215 images/sec, eta: 4:14:40 +[2022/05/18 17:40:38] ppcls INFO: [Train][Epoch 2/30][Iter: 460/1347]lr: 0.01074, CELoss: 5.25440, loss: 5.25440, batch_cost: 0.39558s, reader_cost: 0.02091, ips: 647.15757 images/sec, eta: 4:14:30 +[2022/05/18 17:40:41] ppcls INFO: [Train][Epoch 2/30][Iter: 470/1347]lr: 0.01080, CELoss: 5.24398, loss: 5.24398, batch_cost: 0.39524s, reader_cost: 0.02056, ips: 647.71329 images/sec, eta: 4:14:13 +[2022/05/18 17:40:45] ppcls INFO: [Train][Epoch 2/30][Iter: 480/1347]lr: 0.01086, CELoss: 5.23212, loss: 5.23212, batch_cost: 0.39526s, reader_cost: 0.02014, ips: 647.68178 images/sec, eta: 4:14:10 +[2022/05/18 17:40:49] ppcls INFO: [Train][Epoch 2/30][Iter: 490/1347]lr: 0.01092, CELoss: 5.22114, loss: 5.22114, batch_cost: 0.39481s, reader_cost: 0.01986, ips: 648.40706 images/sec, eta: 4:13:49 +[2022/05/18 17:40:53] ppcls INFO: [Train][Epoch 2/30][Iter: 500/1347]lr: 0.01098, CELoss: 5.21243, loss: 5.21243, batch_cost: 0.39446s, reader_cost: 0.01954, ips: 648.99351 images/sec, eta: 4:13:31 +[2022/05/18 17:40:57] ppcls INFO: [Train][Epoch 2/30][Iter: 510/1347]lr: 0.01103, CELoss: 5.20088, loss: 5.20088, batch_cost: 0.39469s, reader_cost: 0.01999, ips: 648.60730 images/sec, eta: 4:13:36 +[2022/05/18 17:41:01] ppcls INFO: [Train][Epoch 2/30][Iter: 520/1347]lr: 0.01109, CELoss: 5.19135, loss: 5.19135, batch_cost: 0.39426s, reader_cost: 0.01961, ips: 649.30966 images/sec, eta: 4:13:16 +[2022/05/18 17:41:05] ppcls INFO: [Train][Epoch 2/30][Iter: 530/1347]lr: 0.01115, CELoss: 5.18273, loss: 5.18273, batch_cost: 0.39411s, reader_cost: 0.01951, ips: 649.57079 images/sec, eta: 4:13:06 +[2022/05/18 17:41:08] ppcls INFO: [Train][Epoch 2/30][Iter: 540/1347]lr: 0.01121, CELoss: 5.17204, loss: 5.17204, batch_cost: 0.39366s, reader_cost: 0.01916, ips: 650.30964 images/sec, eta: 4:12:44 +[2022/05/18 17:41:12] ppcls INFO: [Train][Epoch 2/30][Iter: 550/1347]lr: 0.01127, CELoss: 5.16071, loss: 5.16071, batch_cost: 0.39402s, reader_cost: 0.01924, ips: 649.71569 images/sec, eta: 4:12:54 +[2022/05/18 17:41:17] ppcls INFO: [Train][Epoch 2/30][Iter: 560/1347]lr: 0.01133, CELoss: 5.14938, loss: 5.14938, batch_cost: 0.39528s, reader_cost: 0.02036, ips: 647.64048 images/sec, eta: 4:13:39 +[2022/05/18 17:41:21] ppcls INFO: [Train][Epoch 2/30][Iter: 570/1347]lr: 0.01139, CELoss: 5.14017, loss: 5.14017, batch_cost: 0.39572s, reader_cost: 0.02066, ips: 646.92611 images/sec, eta: 4:13:52 +[2022/05/18 17:41:26] ppcls INFO: [Train][Epoch 2/30][Iter: 580/1347]lr: 0.01145, CELoss: 5.13381, loss: 5.13381, batch_cost: 0.39652s, reader_cost: 0.02142, ips: 645.61460 images/sec, eta: 4:14:19 +[2022/05/18 17:41:30] ppcls INFO: [Train][Epoch 2/30][Iter: 590/1347]lr: 0.01151, CELoss: 5.12796, loss: 5.12796, batch_cost: 0.39630s, reader_cost: 0.02122, ips: 645.97535 images/sec, eta: 4:14:06 +[2022/05/18 17:41:33] ppcls INFO: [Train][Epoch 2/30][Iter: 600/1347]lr: 0.01157, CELoss: 5.11641, loss: 5.11641, batch_cost: 0.39587s, reader_cost: 0.02087, ips: 646.68017 images/sec, eta: 4:13:46 +[2022/05/18 17:41:37] ppcls INFO: [Train][Epoch 2/30][Iter: 610/1347]lr: 0.01163, CELoss: 5.10938, loss: 5.10938, batch_cost: 0.39560s, reader_cost: 0.02054, ips: 647.11063 images/sec, eta: 4:13:32 +[2022/05/18 17:41:41] ppcls INFO: [Train][Epoch 2/30][Iter: 620/1347]lr: 0.01169, CELoss: 5.10181, loss: 5.10181, batch_cost: 0.39518s, reader_cost: 0.02022, ips: 647.79954 images/sec, eta: 4:13:12 +[2022/05/18 17:41:45] ppcls INFO: [Train][Epoch 2/30][Iter: 630/1347]lr: 0.01175, CELoss: 5.09316, loss: 5.09316, batch_cost: 0.39500s, reader_cost: 0.02006, ips: 648.10345 images/sec, eta: 4:13:00 +[2022/05/18 17:41:48] ppcls INFO: [Train][Epoch 2/30][Iter: 640/1347]lr: 0.01181, CELoss: 5.08306, loss: 5.08306, batch_cost: 0.39492s, reader_cost: 0.01991, ips: 648.23230 images/sec, eta: 4:12:54 +[2022/05/18 17:41:53] ppcls INFO: [Train][Epoch 2/30][Iter: 650/1347]lr: 0.01187, CELoss: 5.07307, loss: 5.07307, batch_cost: 0.39515s, reader_cost: 0.02021, ips: 647.84850 images/sec, eta: 4:12:59 +[2022/05/18 17:41:57] ppcls INFO: [Train][Epoch 2/30][Iter: 660/1347]lr: 0.01193, CELoss: 5.06294, loss: 5.06294, batch_cost: 0.39532s, reader_cost: 0.02030, ips: 647.57203 images/sec, eta: 4:13:01 +[2022/05/18 17:42:01] ppcls INFO: [Train][Epoch 2/30][Iter: 670/1347]lr: 0.01199, CELoss: 5.05759, loss: 5.05759, batch_cost: 0.39533s, reader_cost: 0.02039, ips: 647.55569 images/sec, eta: 4:12:58 +[2022/05/18 17:42:04] ppcls INFO: [Train][Epoch 2/30][Iter: 680/1347]lr: 0.01204, CELoss: 5.05075, loss: 5.05075, batch_cost: 0.39507s, reader_cost: 0.02010, ips: 647.98564 images/sec, eta: 4:12:43 +[2022/05/18 17:42:08] ppcls INFO: [Train][Epoch 2/30][Iter: 690/1347]lr: 0.01210, CELoss: 5.04050, loss: 5.04050, batch_cost: 0.39473s, reader_cost: 0.01981, ips: 648.53985 images/sec, eta: 4:12:27 +[2022/05/18 17:42:12] ppcls INFO: [Train][Epoch 2/30][Iter: 700/1347]lr: 0.01216, CELoss: 5.03073, loss: 5.03073, batch_cost: 0.39478s, reader_cost: 0.01991, ips: 648.46431 images/sec, eta: 4:12:24 +[2022/05/18 17:42:16] ppcls INFO: [Train][Epoch 2/30][Iter: 710/1347]lr: 0.01222, CELoss: 5.02136, loss: 5.02136, batch_cost: 0.39443s, reader_cost: 0.01964, ips: 649.04121 images/sec, eta: 4:12:07 +[2022/05/18 17:42:20] ppcls INFO: [Train][Epoch 2/30][Iter: 720/1347]lr: 0.01228, CELoss: 5.01270, loss: 5.01270, batch_cost: 0.39418s, reader_cost: 0.01937, ips: 649.45723 images/sec, eta: 4:11:53 +[2022/05/18 17:42:23] ppcls INFO: [Train][Epoch 2/30][Iter: 730/1347]lr: 0.01234, CELoss: 5.00369, loss: 5.00369, batch_cost: 0.39389s, reader_cost: 0.01912, ips: 649.92647 images/sec, eta: 4:11:39 +[2022/05/18 17:42:27] ppcls INFO: [Train][Epoch 2/30][Iter: 740/1347]lr: 0.01240, CELoss: 4.99504, loss: 4.99504, batch_cost: 0.39422s, reader_cost: 0.01939, ips: 649.38020 images/sec, eta: 4:11:47 +[2022/05/18 17:42:32] ppcls INFO: [Train][Epoch 2/30][Iter: 750/1347]lr: 0.01246, CELoss: 4.98736, loss: 4.98736, batch_cost: 0.39524s, reader_cost: 0.02023, ips: 647.71216 images/sec, eta: 4:12:22 +[2022/05/18 17:42:37] ppcls INFO: [Train][Epoch 2/30][Iter: 760/1347]lr: 0.01252, CELoss: 4.97920, loss: 4.97920, batch_cost: 0.39593s, reader_cost: 0.02075, ips: 646.58445 images/sec, eta: 4:12:45 +[2022/05/18 17:42:41] ppcls INFO: [Train][Epoch 2/30][Iter: 770/1347]lr: 0.01258, CELoss: 4.97050, loss: 4.97050, batch_cost: 0.39658s, reader_cost: 0.02143, ips: 645.52424 images/sec, eta: 4:13:06 +[2022/05/18 17:42:45] ppcls INFO: [Train][Epoch 2/30][Iter: 780/1347]lr: 0.01264, CELoss: 4.96183, loss: 4.96183, batch_cost: 0.39659s, reader_cost: 0.02152, ips: 645.50923 images/sec, eta: 4:13:02 +[2022/05/18 17:42:49] ppcls INFO: [Train][Epoch 2/30][Iter: 790/1347]lr: 0.01270, CELoss: 4.95099, loss: 4.95099, batch_cost: 0.39670s, reader_cost: 0.02162, ips: 645.33069 images/sec, eta: 4:13:02 +[2022/05/18 17:42:53] ppcls INFO: [Train][Epoch 2/30][Iter: 800/1347]lr: 0.01276, CELoss: 4.94141, loss: 4.94141, batch_cost: 0.39694s, reader_cost: 0.02180, ips: 644.93105 images/sec, eta: 4:13:08 +[2022/05/18 17:42:58] ppcls INFO: [Train][Epoch 2/30][Iter: 810/1347]lr: 0.01282, CELoss: 4.93344, loss: 4.93344, batch_cost: 0.39732s, reader_cost: 0.02225, ips: 644.31130 images/sec, eta: 4:13:18 +[2022/05/18 17:43:02] ppcls INFO: [Train][Epoch 2/30][Iter: 820/1347]lr: 0.01288, CELoss: 4.92622, loss: 4.92622, batch_cost: 0.39750s, reader_cost: 0.02242, ips: 644.01795 images/sec, eta: 4:13:21 +[2022/05/18 17:43:06] ppcls INFO: [Train][Epoch 2/30][Iter: 830/1347]lr: 0.01294, CELoss: 4.91820, loss: 4.91820, batch_cost: 0.39739s, reader_cost: 0.02231, ips: 644.20920 images/sec, eta: 4:13:13 +[2022/05/18 17:43:09] ppcls INFO: [Train][Epoch 2/30][Iter: 840/1347]lr: 0.01299, CELoss: 4.91150, loss: 4.91150, batch_cost: 0.39714s, reader_cost: 0.02207, ips: 644.61560 images/sec, eta: 4:12:59 +[2022/05/18 17:43:13] ppcls INFO: [Train][Epoch 2/30][Iter: 850/1347]lr: 0.01305, CELoss: 4.90427, loss: 4.90427, batch_cost: 0.39686s, reader_cost: 0.02183, ips: 645.06987 images/sec, eta: 4:12:45 +[2022/05/18 17:43:21] ppcls INFO: +=========================================================== +== PaddleClas is powered by PaddlePaddle ! == +=========================================================== +== == +== For more info please go to the following website. == +== == +== https://github.com/PaddlePaddle/PaddleClas == +=========================================================== + +[2022/05/18 17:43:21] ppcls INFO: Arch : +[2022/05/18 17:43:21] ppcls INFO: Backbone : +[2022/05/18 17:43:21] ppcls INFO: name : PPLCNet_x2_5 +[2022/05/18 17:43:21] ppcls INFO: pretrained : True +[2022/05/18 17:43:21] ppcls INFO: use_ssld : True +[2022/05/18 17:43:21] ppcls INFO: BackboneStopLayer : +[2022/05/18 17:43:21] ppcls INFO: name : flatten +[2022/05/18 17:43:21] ppcls INFO: Head : +[2022/05/18 17:43:21] ppcls INFO: class_num : 2389 +[2022/05/18 17:43:21] ppcls INFO: embedding_size : 1280 +[2022/05/18 17:43:21] ppcls INFO: margin : 0.2 +[2022/05/18 17:43:21] ppcls INFO: name : ArcMargin +[2022/05/18 17:43:21] ppcls INFO: scale : 30 +[2022/05/18 17:43:21] ppcls INFO: Neck : +[2022/05/18 17:43:21] ppcls INFO: class_num : 1280 +[2022/05/18 17:43:21] ppcls INFO: embedding_size : 1280 +[2022/05/18 17:43:21] ppcls INFO: name : FC +[2022/05/18 17:43:21] ppcls INFO: infer_add_softmax : False +[2022/05/18 17:43:21] ppcls INFO: infer_output_key : features +[2022/05/18 17:43:21] ppcls INFO: name : RecModel +[2022/05/18 17:43:21] ppcls INFO: DataLoader : +[2022/05/18 17:43:21] ppcls INFO: Eval : +[2022/05/18 17:43:21] ppcls INFO: Gallery : +[2022/05/18 17:43:21] ppcls INFO: dataset : +[2022/05/18 17:43:21] ppcls INFO: cls_label_path : /home/aistudio/PaddleClas/dataset/dataset/all/test_list.txt +[2022/05/18 17:43:21] ppcls INFO: image_root : /home/aistudio/PaddleClas/dataset/dataset/all/ +[2022/05/18 17:43:21] ppcls INFO: name : VeriWild +[2022/05/18 17:43:21] ppcls INFO: transform_ops : +[2022/05/18 17:43:21] ppcls INFO: DecodeImage : +[2022/05/18 17:43:21] ppcls INFO: channel_first : False +[2022/05/18 17:43:21] ppcls INFO: to_rgb : True +[2022/05/18 17:43:21] ppcls INFO: ResizeImage : +[2022/05/18 17:43:21] ppcls INFO: size : 224 +[2022/05/18 17:43:21] ppcls INFO: NormalizeImage : +[2022/05/18 17:43:21] ppcls INFO: mean : [0.485, 0.456, 0.406] +[2022/05/18 17:43:21] ppcls INFO: order : +[2022/05/18 17:43:21] ppcls INFO: scale : 0.00392157 +[2022/05/18 17:43:21] ppcls INFO: std : [0.229, 0.224, 0.225] +[2022/05/18 17:43:21] ppcls INFO: loader : +[2022/05/18 17:43:21] ppcls INFO: num_workers : 4 +[2022/05/18 17:43:21] ppcls INFO: use_shared_memory : True +[2022/05/18 17:43:21] ppcls INFO: sampler : +[2022/05/18 17:43:21] ppcls INFO: batch_size : 64 +[2022/05/18 17:43:21] ppcls INFO: drop_last : False +[2022/05/18 17:43:21] ppcls INFO: name : DistributedBatchSampler +[2022/05/18 17:43:21] ppcls INFO: shuffle : False +[2022/05/18 17:43:21] ppcls INFO: Query : +[2022/05/18 17:43:21] ppcls INFO: dataset : +[2022/05/18 17:43:21] ppcls INFO: cls_label_path : /home/aistudio/PaddleClas/dataset/dataset/all/test_list.txt +[2022/05/18 17:43:21] ppcls INFO: image_root : /home/aistudio//PaddleClas/dataset/dataset/all/ +[2022/05/18 17:43:21] ppcls INFO: name : VeriWild +[2022/05/18 17:43:21] ppcls INFO: transform_ops : +[2022/05/18 17:43:21] ppcls INFO: DecodeImage : +[2022/05/18 17:43:21] ppcls INFO: channel_first : False +[2022/05/18 17:43:21] ppcls INFO: to_rgb : True +[2022/05/18 17:43:21] ppcls INFO: ResizeImage : +[2022/05/18 17:43:21] ppcls INFO: size : 224 +[2022/05/18 17:43:21] ppcls INFO: NormalizeImage : +[2022/05/18 17:43:21] ppcls INFO: mean : [0.485, 0.456, 0.406] +[2022/05/18 17:43:21] ppcls INFO: order : +[2022/05/18 17:43:21] ppcls INFO: scale : 0.00392157 +[2022/05/18 17:43:21] ppcls INFO: std : [0.229, 0.224, 0.225] +[2022/05/18 17:43:21] ppcls INFO: loader : +[2022/05/18 17:43:21] ppcls INFO: num_workers : 4 +[2022/05/18 17:43:21] ppcls INFO: use_shared_memory : True +[2022/05/18 17:43:21] ppcls INFO: sampler : +[2022/05/18 17:43:21] ppcls INFO: batch_size : 64 +[2022/05/18 17:43:21] ppcls INFO: drop_last : False +[2022/05/18 17:43:21] ppcls INFO: name : DistributedBatchSampler +[2022/05/18 17:43:21] ppcls INFO: shuffle : False +[2022/05/18 17:43:21] ppcls INFO: Train : +[2022/05/18 17:43:21] ppcls INFO: dataset : +[2022/05/18 17:43:21] ppcls INFO: cls_label_path : /home/aistudio/PaddleClas/dataset/dataset/all/train_list.txt +[2022/05/18 17:43:21] ppcls INFO: image_root : /home/aistudio/PaddleClas/dataset/dataset/all/ +[2022/05/18 17:43:21] ppcls INFO: name : ImageNetDataset +[2022/05/18 17:43:21] ppcls INFO: transform_ops : +[2022/05/18 17:43:21] ppcls INFO: DecodeImage : +[2022/05/18 17:43:21] ppcls INFO: channel_first : False +[2022/05/18 17:43:21] ppcls INFO: to_rgb : True +[2022/05/18 17:43:21] ppcls INFO: RandCropImage : +[2022/05/18 17:43:21] ppcls INFO: size : 224 +[2022/05/18 17:43:21] ppcls INFO: RandFlipImage : +[2022/05/18 17:43:21] ppcls INFO: flip_code : 1 +[2022/05/18 17:43:21] ppcls INFO: NormalizeImage : +[2022/05/18 17:43:21] ppcls INFO: mean : [0.485, 0.456, 0.406] +[2022/05/18 17:43:21] ppcls INFO: order : +[2022/05/18 17:43:21] ppcls INFO: scale : 1.0/255.0 +[2022/05/18 17:43:21] ppcls INFO: std : [0.229, 0.224, 0.225] +[2022/05/18 17:43:21] ppcls INFO: loader : +[2022/05/18 17:43:21] ppcls INFO: num_workers : 4 +[2022/05/18 17:43:21] ppcls INFO: use_shared_memory : True +[2022/05/18 17:43:21] ppcls INFO: sampler : +[2022/05/18 17:43:21] ppcls INFO: batch_size : 256 +[2022/05/18 17:43:21] ppcls INFO: drop_last : False +[2022/05/18 17:43:21] ppcls INFO: name : DistributedBatchSampler +[2022/05/18 17:43:21] ppcls INFO: shuffle : True +[2022/05/18 17:43:21] ppcls INFO: Global : +[2022/05/18 17:43:21] ppcls INFO: checkpoints : None +[2022/05/18 17:43:21] ppcls INFO: device : gpu +[2022/05/18 17:43:21] ppcls INFO: epochs : 30 +[2022/05/18 17:43:21] ppcls INFO: eval_during_train : True +[2022/05/18 17:43:21] ppcls INFO: eval_interval : 1 +[2022/05/18 17:43:21] ppcls INFO: eval_mode : retrieval +[2022/05/18 17:43:21] ppcls INFO: image_shape : [3, 224, 224] +[2022/05/18 17:43:21] ppcls INFO: output_dir : ./output/ +[2022/05/18 17:43:21] ppcls INFO: pretrained_model : None +[2022/05/18 17:43:21] ppcls INFO: print_batch_step : 10 +[2022/05/18 17:43:21] ppcls INFO: save_inference_dir : ./inference +[2022/05/18 17:43:21] ppcls INFO: save_interval : 1 +[2022/05/18 17:43:21] ppcls INFO: to_static : False +[2022/05/18 17:43:21] ppcls INFO: use_dali : False +[2022/05/18 17:43:21] ppcls INFO: use_visualdl : False +[2022/05/18 17:43:21] ppcls INFO: Loss : +[2022/05/18 17:43:21] ppcls INFO: Eval : +[2022/05/18 17:43:21] ppcls INFO: CELoss : +[2022/05/18 17:43:21] ppcls INFO: weight : 1.0 +[2022/05/18 17:43:21] ppcls INFO: Train : +[2022/05/18 17:43:21] ppcls INFO: CELoss : +[2022/05/18 17:43:21] ppcls INFO: weight : 1.0 +[2022/05/18 17:43:21] ppcls INFO: Metric : +[2022/05/18 17:43:21] ppcls INFO: Eval : +[2022/05/18 17:43:21] ppcls INFO: Recallk : +[2022/05/18 17:43:21] ppcls INFO: topk : [1, 5] +[2022/05/18 17:43:21] ppcls INFO: Optimizer : +[2022/05/18 17:43:21] ppcls INFO: lr : +[2022/05/18 17:43:21] ppcls INFO: learning_rate : 0.04 +[2022/05/18 17:43:21] ppcls INFO: name : Cosine +[2022/05/18 17:43:21] ppcls INFO: warmup_epoch : 5 +[2022/05/18 17:43:21] ppcls INFO: momentum : 0.9 +[2022/05/18 17:43:21] ppcls INFO: name : Momentum +[2022/05/18 17:43:21] ppcls INFO: regularizer : +[2022/05/18 17:43:21] ppcls INFO: coeff : 1e-05 +[2022/05/18 17:43:21] ppcls INFO: name : L2 +[2022/05/18 17:43:21] ppcls INFO: profiler_options : None +[2022/05/18 17:43:21] ppcls INFO: train with paddle 2.3.0 and device Place(gpu:0) +[2022/05/18 17:43:31] ppcls INFO: unique_endpoints {''} +[2022/05/18 17:43:31] ppcls INFO: Found /home/aistudio/.paddleclas/weights/PPLCNet_x2_5_ssld_pretrained.pdparams +[2022/05/18 17:43:31] ppcls WARNING: The training strategy in config files provided by PaddleClas is based on 4 gpus. But the number of gpus is 1 in current training. Please modify the stategy (learning rate, batch size and so on) if use config files in PaddleClas to train. +[2022/05/18 17:43:34] ppcls INFO: [Train][Epoch 1/30][Iter: 0/1347]lr: 0.00001, CELoss: 14.06747, loss: 14.06747, batch_cost: 2.51134s, reader_cost: 1.90958, ips: 101.93757 images/sec, eta: 1 day, 4:11:23 +[2022/05/18 17:43:38] ppcls INFO: [Train][Epoch 1/30][Iter: 10/1347]lr: 0.00007, CELoss: 14.06881, loss: 14.06881, batch_cost: 0.38308s, reader_cost: 0.00305, ips: 668.27243 images/sec, eta: 4:17:56 +[2022/05/18 17:43:41] ppcls INFO: [Train][Epoch 1/30][Iter: 20/1347]lr: 0.00012, CELoss: 14.06443, loss: 14.06443, batch_cost: 0.38744s, reader_cost: 0.00258, ips: 660.75353 images/sec, eta: 4:20:48 +[2022/05/18 17:43:45] ppcls INFO: [Train][Epoch 1/30][Iter: 30/1347]lr: 0.00018, CELoss: 14.06460, loss: 14.06460, batch_cost: 0.38849s, reader_cost: 0.00597, ips: 658.96774 images/sec, eta: 4:21:27 +[2022/05/18 17:43:50] ppcls INFO: [Train][Epoch 1/30][Iter: 40/1347]lr: 0.00024, CELoss: 14.06498, loss: 14.06498, batch_cost: 0.40375s, reader_cost: 0.02108, ips: 634.05630 images/sec, eta: 4:31:39 +[2022/05/18 17:43:54] ppcls INFO: [Train][Epoch 1/30][Iter: 50/1347]lr: 0.00030, CELoss: 14.06179, loss: 14.06179, batch_cost: 0.40298s, reader_cost: 0.02281, ips: 635.27488 images/sec, eta: 4:31:04 +[2022/05/18 17:43:58] ppcls INFO: [Train][Epoch 1/30][Iter: 60/1347]lr: 0.00036, CELoss: 14.05449, loss: 14.05449, batch_cost: 0.40240s, reader_cost: 0.02315, ips: 636.18086 images/sec, eta: 4:30:36 +[2022/05/18 17:44:02] ppcls INFO: [Train][Epoch 1/30][Iter: 70/1347]lr: 0.00042, CELoss: 14.04353, loss: 14.04353, batch_cost: 0.40901s, reader_cost: 0.02991, ips: 625.90200 images/sec, eta: 4:34:59 +[2022/05/18 17:44:06] ppcls INFO: [Train][Epoch 1/30][Iter: 80/1347]lr: 0.00048, CELoss: 14.02844, loss: 14.02844, batch_cost: 0.40841s, reader_cost: 0.03064, ips: 626.82363 images/sec, eta: 4:34:31 +[2022/05/18 17:44:10] ppcls INFO: [Train][Epoch 1/30][Iter: 90/1347]lr: 0.00054, CELoss: 14.01443, loss: 14.01443, batch_cost: 0.40882s, reader_cost: 0.03157, ips: 626.19146 images/sec, eta: 4:34:43 +[2022/05/18 17:44:14] ppcls INFO: [Train][Epoch 1/30][Iter: 100/1347]lr: 0.00060, CELoss: 13.99717, loss: 13.99717, batch_cost: 0.40507s, reader_cost: 0.02835, ips: 631.99048 images/sec, eta: 4:32:08 +[2022/05/18 17:44:18] ppcls INFO: [Train][Epoch 1/30][Iter: 110/1347]lr: 0.00066, CELoss: 13.97752, loss: 13.97752, batch_cost: 0.40340s, reader_cost: 0.02741, ips: 634.59878 images/sec, eta: 4:30:57 +[2022/05/18 17:44:22] ppcls INFO: [Train][Epoch 1/30][Iter: 120/1347]lr: 0.00072, CELoss: 13.95515, loss: 13.95515, batch_cost: 0.40070s, reader_cost: 0.02510, ips: 638.87474 images/sec, eta: 4:29:04 +[2022/05/18 17:44:26] ppcls INFO: [Train][Epoch 1/30][Iter: 130/1347]lr: 0.00078, CELoss: 13.93334, loss: 13.93334, batch_cost: 0.39965s, reader_cost: 0.02422, ips: 640.55535 images/sec, eta: 4:28:18 +[2022/05/18 17:44:30] ppcls INFO: [Train][Epoch 1/30][Iter: 140/1347]lr: 0.00084, CELoss: 13.90867, loss: 13.90867, batch_cost: 0.39863s, reader_cost: 0.02355, ips: 642.19972 images/sec, eta: 4:27:32 +[2022/05/18 17:44:33] ppcls INFO: [Train][Epoch 1/30][Iter: 150/1347]lr: 0.00090, CELoss: 13.88261, loss: 13.88261, batch_cost: 0.39696s, reader_cost: 0.02198, ips: 644.90771 images/sec, eta: 4:26:21 +[2022/05/18 17:44:37] ppcls INFO: [Train][Epoch 1/30][Iter: 160/1347]lr: 0.00096, CELoss: 13.85431, loss: 13.85431, batch_cost: 0.39586s, reader_cost: 0.02061, ips: 646.69741 images/sec, eta: 4:25:33 +[2022/05/18 17:44:41] ppcls INFO: [Train][Epoch 1/30][Iter: 170/1347]lr: 0.00102, CELoss: 13.82542, loss: 13.82542, batch_cost: 0.39456s, reader_cost: 0.01941, ips: 648.81909 images/sec, eta: 4:24:37 +[2022/05/18 17:44:45] ppcls INFO: [Train][Epoch 1/30][Iter: 180/1347]lr: 0.00107, CELoss: 13.79488, loss: 13.79488, batch_cost: 0.39355s, reader_cost: 0.01835, ips: 650.48581 images/sec, eta: 4:23:52 +[2022/05/18 17:44:48] ppcls INFO: [Train][Epoch 1/30][Iter: 190/1347]lr: 0.00113, CELoss: 13.76119, loss: 13.76119, batch_cost: 0.39275s, reader_cost: 0.01739, ips: 651.80687 images/sec, eta: 4:23:16 +[2022/05/18 17:44:52] ppcls INFO: [Train][Epoch 1/30][Iter: 200/1347]lr: 0.00119, CELoss: 13.72753, loss: 13.72753, batch_cost: 0.39211s, reader_cost: 0.01663, ips: 652.88532 images/sec, eta: 4:22:46 +[2022/05/18 17:44:56] ppcls INFO: [Train][Epoch 1/30][Iter: 210/1347]lr: 0.00125, CELoss: 13.68959, loss: 13.68959, batch_cost: 0.39345s, reader_cost: 0.01732, ips: 650.65018 images/sec, eta: 4:23:36 +[2022/05/18 17:45:01] ppcls INFO: [Train][Epoch 1/30][Iter: 220/1347]lr: 0.00131, CELoss: 13.65187, loss: 13.65187, batch_cost: 0.39652s, reader_cost: 0.01990, ips: 645.61362 images/sec, eta: 4:25:36 +[2022/05/18 17:45:06] ppcls INFO: [Train][Epoch 1/30][Iter: 230/1347]lr: 0.00137, CELoss: 13.61268, loss: 13.61268, batch_cost: 0.40023s, reader_cost: 0.02290, ips: 639.62564 images/sec, eta: 4:28:01 +[2022/05/18 17:45:10] ppcls INFO: [Train][Epoch 1/30][Iter: 240/1347]lr: 0.00143, CELoss: 13.57466, loss: 13.57466, batch_cost: 0.40076s, reader_cost: 0.02351, ips: 638.78112 images/sec, eta: 4:28:18 +[2022/05/18 17:45:14] ppcls INFO: [Train][Epoch 1/30][Iter: 250/1347]lr: 0.00149, CELoss: 13.53619, loss: 13.53619, batch_cost: 0.39963s, reader_cost: 0.02263, ips: 640.58622 images/sec, eta: 4:27:29 +[2022/05/18 17:45:18] ppcls INFO: [Train][Epoch 1/30][Iter: 260/1347]lr: 0.00155, CELoss: 13.49696, loss: 13.49696, batch_cost: 0.39912s, reader_cost: 0.02225, ips: 641.40782 images/sec, eta: 4:27:04 +[2022/05/18 17:45:21] ppcls INFO: [Train][Epoch 1/30][Iter: 270/1347]lr: 0.00161, CELoss: 13.45440, loss: 13.45440, batch_cost: 0.39829s, reader_cost: 0.02152, ips: 642.74272 images/sec, eta: 4:26:27 +[2022/05/18 17:45:25] ppcls INFO: [Train][Epoch 1/30][Iter: 280/1347]lr: 0.00167, CELoss: 13.41437, loss: 13.41437, batch_cost: 0.39727s, reader_cost: 0.02076, ips: 644.39131 images/sec, eta: 4:25:42 +[2022/05/18 17:45:29] ppcls INFO: [Train][Epoch 1/30][Iter: 290/1347]lr: 0.00173, CELoss: 13.37330, loss: 13.37330, batch_cost: 0.39667s, reader_cost: 0.02025, ips: 645.38025 images/sec, eta: 4:25:14 +[2022/05/18 17:45:33] ppcls INFO: [Train][Epoch 1/30][Iter: 300/1347]lr: 0.00179, CELoss: 13.33158, loss: 13.33158, batch_cost: 0.39601s, reader_cost: 0.01964, ips: 646.45215 images/sec, eta: 4:24:43 +[2022/05/18 17:45:36] ppcls INFO: [Train][Epoch 1/30][Iter: 310/1347]lr: 0.00185, CELoss: 13.29140, loss: 13.29140, batch_cost: 0.39591s, reader_cost: 0.01920, ips: 646.61680 images/sec, eta: 4:24:35 +[2022/05/18 17:45:40] ppcls INFO: [Train][Epoch 1/30][Iter: 320/1347]lr: 0.00191, CELoss: 13.25218, loss: 13.25218, batch_cost: 0.39602s, reader_cost: 0.01861, ips: 646.42386 images/sec, eta: 4:24:36 +[2022/05/18 17:45:44] ppcls INFO: [Train][Epoch 1/30][Iter: 330/1347]lr: 0.00197, CELoss: 13.21408, loss: 13.21408, batch_cost: 0.39596s, reader_cost: 0.01822, ips: 646.52863 images/sec, eta: 4:24:30 +[2022/05/18 17:45:48] ppcls INFO: [Train][Epoch 1/30][Iter: 340/1347]lr: 0.00203, CELoss: 13.17019, loss: 13.17019, batch_cost: 0.39596s, reader_cost: 0.01807, ips: 646.53197 images/sec, eta: 4:24:26 +[2022/05/18 17:45:52] ppcls INFO: [Train][Epoch 1/30][Iter: 350/1347]lr: 0.00208, CELoss: 13.13090, loss: 13.13090, batch_cost: 0.39577s, reader_cost: 0.01770, ips: 646.83571 images/sec, eta: 4:24:14 +[2022/05/18 17:45:56] ppcls INFO: [Train][Epoch 1/30][Iter: 360/1347]lr: 0.00214, CELoss: 13.08981, loss: 13.08981, batch_cost: 0.39540s, reader_cost: 0.01747, ips: 647.45313 images/sec, eta: 4:23:55 +[2022/05/18 17:46:00] ppcls INFO: [Train][Epoch 1/30][Iter: 370/1347]lr: 0.00220, CELoss: 13.05020, loss: 13.05020, batch_cost: 0.39546s, reader_cost: 0.01725, ips: 647.34380 images/sec, eta: 4:23:54 +[2022/05/18 17:46:04] ppcls INFO: [Train][Epoch 1/30][Iter: 380/1347]lr: 0.00226, CELoss: 13.01030, loss: 13.01030, batch_cost: 0.39520s, reader_cost: 0.01693, ips: 647.76659 images/sec, eta: 4:23:40 +[2022/05/18 17:46:08] ppcls INFO: [Train][Epoch 1/30][Iter: 390/1347]lr: 0.00232, CELoss: 12.96710, loss: 12.96710, batch_cost: 0.39518s, reader_cost: 0.01667, ips: 647.80745 images/sec, eta: 4:23:35 +[2022/05/18 17:46:12] ppcls INFO: [Train][Epoch 1/30][Iter: 400/1347]lr: 0.00238, CELoss: 12.92537, loss: 12.92537, batch_cost: 0.39595s, reader_cost: 0.01700, ips: 646.54611 images/sec, eta: 4:24:01 +[2022/05/18 17:46:17] ppcls INFO: [Train][Epoch 1/30][Iter: 410/1347]lr: 0.00244, CELoss: 12.88583, loss: 12.88583, batch_cost: 0.39837s, reader_cost: 0.01904, ips: 642.62630 images/sec, eta: 4:25:34 +[2022/05/18 17:46:21] ppcls INFO: [Train][Epoch 1/30][Iter: 420/1347]lr: 0.00250, CELoss: 12.84439, loss: 12.84439, batch_cost: 0.39855s, reader_cost: 0.01951, ips: 642.33369 images/sec, eta: 4:25:37 +[2022/05/18 17:46:25] ppcls INFO: [Train][Epoch 1/30][Iter: 430/1347]lr: 0.00256, CELoss: 12.80354, loss: 12.80354, batch_cost: 0.39844s, reader_cost: 0.01963, ips: 642.50346 images/sec, eta: 4:25:29 +[2022/05/18 17:46:29] ppcls INFO: [Train][Epoch 1/30][Iter: 440/1347]lr: 0.00262, CELoss: 12.76304, loss: 12.76304, batch_cost: 0.39801s, reader_cost: 0.01919, ips: 643.20622 images/sec, eta: 4:25:08 +[2022/05/18 17:46:33] ppcls INFO: [Train][Epoch 1/30][Iter: 450/1347]lr: 0.00268, CELoss: 12.72191, loss: 12.72191, batch_cost: 0.39752s, reader_cost: 0.01881, ips: 643.99707 images/sec, eta: 4:24:44 +[2022/05/18 17:46:36] ppcls INFO: [Train][Epoch 1/30][Iter: 460/1347]lr: 0.00274, CELoss: 12.67998, loss: 12.67998, batch_cost: 0.39701s, reader_cost: 0.01841, ips: 644.82619 images/sec, eta: 4:24:20 +[2022/05/18 17:46:40] ppcls INFO: [Train][Epoch 1/30][Iter: 470/1347]lr: 0.00280, CELoss: 12.63979, loss: 12.63979, batch_cost: 0.39655s, reader_cost: 0.01807, ips: 645.57257 images/sec, eta: 4:23:58 +[2022/05/18 17:46:44] ppcls INFO: [Train][Epoch 1/30][Iter: 480/1347]lr: 0.00286, CELoss: 12.59722, loss: 12.59722, batch_cost: 0.39620s, reader_cost: 0.01770, ips: 646.14164 images/sec, eta: 4:23:40 +[2022/05/18 17:46:48] ppcls INFO: [Train][Epoch 1/30][Iter: 490/1347]lr: 0.00292, CELoss: 12.55703, loss: 12.55703, batch_cost: 0.39579s, reader_cost: 0.01735, ips: 646.81121 images/sec, eta: 4:23:19 +[2022/05/18 17:46:52] ppcls INFO: [Train][Epoch 1/30][Iter: 500/1347]lr: 0.00298, CELoss: 12.51685, loss: 12.51685, batch_cost: 0.39554s, reader_cost: 0.01701, ips: 647.21144 images/sec, eta: 4:23:06 +[2022/05/18 17:46:55] ppcls INFO: [Train][Epoch 1/30][Iter: 510/1347]lr: 0.00303, CELoss: 12.47763, loss: 12.47763, batch_cost: 0.39511s, reader_cost: 0.01669, ips: 647.92015 images/sec, eta: 4:22:44 +[2022/05/18 17:46:59] ppcls INFO: [Train][Epoch 1/30][Iter: 520/1347]lr: 0.00309, CELoss: 12.43725, loss: 12.43725, batch_cost: 0.39483s, reader_cost: 0.01642, ips: 648.38789 images/sec, eta: 4:22:29 +[2022/05/18 17:47:03] ppcls INFO: [Train][Epoch 1/30][Iter: 530/1347]lr: 0.00315, CELoss: 12.39682, loss: 12.39682, batch_cost: 0.39473s, reader_cost: 0.01616, ips: 648.54485 images/sec, eta: 4:22:21 +[2022/05/18 17:47:07] ppcls INFO: [Train][Epoch 1/30][Iter: 540/1347]lr: 0.00321, CELoss: 12.35515, loss: 12.35515, batch_cost: 0.39446s, reader_cost: 0.01590, ips: 648.99601 images/sec, eta: 4:22:06 +[2022/05/18 17:47:11] ppcls INFO: [Train][Epoch 1/30][Iter: 550/1347]lr: 0.00327, CELoss: 12.31399, loss: 12.31399, batch_cost: 0.39413s, reader_cost: 0.01569, ips: 649.53870 images/sec, eta: 4:21:49 +[2022/05/18 17:47:14] ppcls INFO: [Train][Epoch 1/30][Iter: 560/1347]lr: 0.00333, CELoss: 12.27419, loss: 12.27419, batch_cost: 0.39382s, reader_cost: 0.01542, ips: 650.03738 images/sec, eta: 4:21:33 +[2022/05/18 17:47:18] ppcls INFO: [Train][Epoch 1/30][Iter: 570/1347]lr: 0.00339, CELoss: 12.23241, loss: 12.23241, batch_cost: 0.39386s, reader_cost: 0.01518, ips: 649.97315 images/sec, eta: 4:21:31 +[2022/05/18 17:47:23] ppcls INFO: [Train][Epoch 1/30][Iter: 580/1347]lr: 0.00345, CELoss: 12.19551, loss: 12.19551, batch_cost: 0.39449s, reader_cost: 0.01560, ips: 648.93913 images/sec, eta: 4:21:52 +[2022/05/18 17:47:27] ppcls INFO: [Train][Epoch 1/30][Iter: 590/1347]lr: 0.00351, CELoss: 12.15203, loss: 12.15203, batch_cost: 0.39543s, reader_cost: 0.01626, ips: 647.39182 images/sec, eta: 4:22:26 +[2022/05/18 17:47:31] ppcls INFO: [Train][Epoch 1/30][Iter: 600/1347]lr: 0.00357, CELoss: 12.11355, loss: 12.11355, batch_cost: 0.39612s, reader_cost: 0.01673, ips: 646.26641 images/sec, eta: 4:22:49 +[2022/05/18 17:47:35] ppcls INFO: [Train][Epoch 1/30][Iter: 610/1347]lr: 0.00363, CELoss: 12.07367, loss: 12.07367, batch_cost: 0.39613s, reader_cost: 0.01694, ips: 646.24583 images/sec, eta: 4:22:46 +[2022/05/18 17:47:39] ppcls INFO: [Train][Epoch 1/30][Iter: 620/1347]lr: 0.00369, CELoss: 12.03443, loss: 12.03443, batch_cost: 0.39578s, reader_cost: 0.01667, ips: 646.82440 images/sec, eta: 4:22:28 +[2022/05/18 17:47:43] ppcls INFO: [Train][Epoch 1/30][Iter: 630/1347]lr: 0.00375, CELoss: 11.99414, loss: 11.99414, batch_cost: 0.39553s, reader_cost: 0.01641, ips: 647.23720 images/sec, eta: 4:22:14 +[2022/05/18 17:47:47] ppcls INFO: [Train][Epoch 1/30][Iter: 640/1347]lr: 0.00381, CELoss: 11.95307, loss: 11.95307, batch_cost: 0.39538s, reader_cost: 0.01639, ips: 647.47908 images/sec, eta: 4:22:04 +[2022/05/18 17:47:51] ppcls INFO: [Train][Epoch 1/30][Iter: 650/1347]lr: 0.00387, CELoss: 11.91460, loss: 11.91460, batch_cost: 0.39504s, reader_cost: 0.01615, ips: 648.02843 images/sec, eta: 4:21:46 +[2022/05/18 17:47:54] ppcls INFO: [Train][Epoch 1/30][Iter: 660/1347]lr: 0.00393, CELoss: 11.87507, loss: 11.87507, batch_cost: 0.39475s, reader_cost: 0.01591, ips: 648.50369 images/sec, eta: 4:21:31 +[2022/05/18 17:47:58] ppcls INFO: [Train][Epoch 1/30][Iter: 670/1347]lr: 0.00399, CELoss: 11.83525, loss: 11.83525, batch_cost: 0.39474s, reader_cost: 0.01608, ips: 648.52522 images/sec, eta: 4:21:27 +[2022/05/18 17:48:02] ppcls INFO: [Train][Epoch 1/30][Iter: 680/1347]lr: 0.00404, CELoss: 11.79368, loss: 11.79368, batch_cost: 0.39446s, reader_cost: 0.01585, ips: 648.98766 images/sec, eta: 4:21:11 +[2022/05/18 17:48:06] ppcls INFO: [Train][Epoch 1/30][Iter: 690/1347]lr: 0.00410, CELoss: 11.75340, loss: 11.75340, batch_cost: 0.39416s, reader_cost: 0.01563, ips: 649.48685 images/sec, eta: 4:20:55 +[2022/05/18 17:48:10] ppcls INFO: [Train][Epoch 1/30][Iter: 700/1347]lr: 0.00416, CELoss: 11.71371, loss: 11.71371, batch_cost: 0.39386s, reader_cost: 0.01545, ips: 649.98032 images/sec, eta: 4:20:40 +[2022/05/18 17:48:13] ppcls INFO: [Train][Epoch 1/30][Iter: 710/1347]lr: 0.00422, CELoss: 11.67544, loss: 11.67544, batch_cost: 0.39359s, reader_cost: 0.01524, ips: 650.42347 images/sec, eta: 4:20:25 +[2022/05/18 17:48:17] ppcls INFO: [Train][Epoch 1/30][Iter: 720/1347]lr: 0.00428, CELoss: 11.63730, loss: 11.63730, batch_cost: 0.39365s, reader_cost: 0.01503, ips: 650.32929 images/sec, eta: 4:20:23 +[2022/05/18 17:48:21] ppcls INFO: [Train][Epoch 1/30][Iter: 730/1347]lr: 0.00434, CELoss: 11.59826, loss: 11.59826, batch_cost: 0.39342s, reader_cost: 0.01493, ips: 650.71208 images/sec, eta: 4:20:10 +[2022/05/18 17:48:25] ppcls INFO: [Train][Epoch 1/30][Iter: 740/1347]lr: 0.00440, CELoss: 11.55609, loss: 11.55609, batch_cost: 0.39363s, reader_cost: 0.01517, ips: 650.35659 images/sec, eta: 4:20:15 +[2022/05/18 17:48:29] ppcls INFO: [Train][Epoch 1/30][Iter: 750/1347]lr: 0.00446, CELoss: 11.51680, loss: 11.51680, batch_cost: 0.39382s, reader_cost: 0.01546, ips: 650.04116 images/sec, eta: 4:20:18 +[2022/05/18 17:48:33] ppcls INFO: [Train][Epoch 1/30][Iter: 760/1347]lr: 0.00452, CELoss: 11.47725, loss: 11.47725, batch_cost: 0.39429s, reader_cost: 0.01588, ips: 649.27232 images/sec, eta: 4:20:33 +[2022/05/18 17:48:38] ppcls INFO: [Train][Epoch 1/30][Iter: 770/1347]lr: 0.00458, CELoss: 11.43901, loss: 11.43901, batch_cost: 0.39479s, reader_cost: 0.01624, ips: 648.45135 images/sec, eta: 4:20:49 +[2022/05/18 17:48:42] ppcls INFO: [Train][Epoch 1/30][Iter: 780/1347]lr: 0.00464, CELoss: 11.39930, loss: 11.39930, batch_cost: 0.39555s, reader_cost: 0.01689, ips: 647.19657 images/sec, eta: 4:21:15 +[2022/05/18 17:48:46] ppcls INFO: [Train][Epoch 1/30][Iter: 790/1347]lr: 0.00470, CELoss: 11.35936, loss: 11.35936, batch_cost: 0.39568s, reader_cost: 0.01704, ips: 646.98539 images/sec, eta: 4:21:16 +[2022/05/18 17:48:51] ppcls INFO: [Train][Epoch 1/30][Iter: 800/1347]lr: 0.00476, CELoss: 11.32069, loss: 11.32069, batch_cost: 0.39591s, reader_cost: 0.01726, ips: 646.60544 images/sec, eta: 4:21:22 +[2022/05/18 17:48:54] ppcls INFO: [Train][Epoch 1/30][Iter: 810/1347]lr: 0.00482, CELoss: 11.28292, loss: 11.28292, batch_cost: 0.39562s, reader_cost: 0.01707, ips: 647.07899 images/sec, eta: 4:21:06 +[2022/05/18 17:48:58] ppcls INFO: [Train][Epoch 1/30][Iter: 820/1347]lr: 0.00488, CELoss: 11.24560, loss: 11.24560, batch_cost: 0.39540s, reader_cost: 0.01692, ips: 647.44641 images/sec, eta: 4:20:53 +[2022/05/18 17:49:02] ppcls INFO: [Train][Epoch 1/30][Iter: 830/1347]lr: 0.00494, CELoss: 11.20802, loss: 11.20802, batch_cost: 0.39513s, reader_cost: 0.01674, ips: 647.88872 images/sec, eta: 4:20:39 +[2022/05/18 17:49:06] ppcls INFO: [Train][Epoch 1/30][Iter: 840/1347]lr: 0.00499, CELoss: 11.17215, loss: 11.17215, batch_cost: 0.39491s, reader_cost: 0.01654, ips: 648.25106 images/sec, eta: 4:20:26 +[2022/05/18 17:49:09] ppcls INFO: [Train][Epoch 1/30][Iter: 850/1347]lr: 0.00505, CELoss: 11.13485, loss: 11.13485, batch_cost: 0.39465s, reader_cost: 0.01635, ips: 648.68360 images/sec, eta: 4:20:12 +[2022/05/18 17:49:13] ppcls INFO: [Train][Epoch 1/30][Iter: 860/1347]lr: 0.00511, CELoss: 11.09918, loss: 11.09918, batch_cost: 0.39442s, reader_cost: 0.01617, ips: 649.06004 images/sec, eta: 4:19:59 +[2022/05/18 17:49:17] ppcls INFO: [Train][Epoch 1/30][Iter: 870/1347]lr: 0.00517, CELoss: 11.06150, loss: 11.06150, batch_cost: 0.39416s, reader_cost: 0.01601, ips: 649.48208 images/sec, eta: 4:19:45 +[2022/05/18 17:49:21] ppcls INFO: [Train][Epoch 1/30][Iter: 880/1347]lr: 0.00523, CELoss: 11.02646, loss: 11.02646, batch_cost: 0.39437s, reader_cost: 0.01618, ips: 649.14354 images/sec, eta: 4:19:49 +[2022/05/18 17:49:25] ppcls INFO: [Train][Epoch 1/30][Iter: 890/1347]lr: 0.00529, CELoss: 10.99092, loss: 10.99092, batch_cost: 0.39421s, reader_cost: 0.01614, ips: 649.40657 images/sec, eta: 4:19:39 +[2022/05/18 17:49:29] ppcls INFO: [Train][Epoch 1/30][Iter: 900/1347]lr: 0.00535, CELoss: 10.95600, loss: 10.95600, batch_cost: 0.39413s, reader_cost: 0.01612, ips: 649.53033 images/sec, eta: 4:19:32 +[2022/05/18 17:49:32] ppcls INFO: [Train][Epoch 1/30][Iter: 910/1347]lr: 0.00541, CELoss: 10.91805, loss: 10.91805, batch_cost: 0.39405s, reader_cost: 0.01595, ips: 649.66878 images/sec, eta: 4:19:24 +[2022/05/18 17:49:37] ppcls INFO: [Train][Epoch 1/30][Iter: 920/1347]lr: 0.00547, CELoss: 10.88115, loss: 10.88115, batch_cost: 0.39428s, reader_cost: 0.01629, ips: 649.28293 images/sec, eta: 4:19:30 +[2022/05/18 17:49:41] ppcls INFO: [Train][Epoch 1/30][Iter: 930/1347]lr: 0.00553, CELoss: 10.84660, loss: 10.84660, batch_cost: 0.39427s, reader_cost: 0.01632, ips: 649.29733 images/sec, eta: 4:19:25 +[2022/05/18 17:49:44] ppcls INFO: [Train][Epoch 1/30][Iter: 940/1347]lr: 0.00559, CELoss: 10.81375, loss: 10.81375, batch_cost: 0.39416s, reader_cost: 0.01618, ips: 649.47475 images/sec, eta: 4:19:17 +[2022/05/18 17:49:49] ppcls INFO: [Train][Epoch 1/30][Iter: 950/1347]lr: 0.00565, CELoss: 10.77865, loss: 10.77865, batch_cost: 0.39455s, reader_cost: 0.01638, ips: 648.84850 images/sec, eta: 4:19:28 +[2022/05/18 17:49:53] ppcls INFO: [Train][Epoch 1/30][Iter: 960/1347]lr: 0.00571, CELoss: 10.74354, loss: 10.74354, batch_cost: 0.39502s, reader_cost: 0.01665, ips: 648.07282 images/sec, eta: 4:19:43 +[2022/05/18 17:49:57] ppcls INFO: [Train][Epoch 1/30][Iter: 970/1347]lr: 0.00577, CELoss: 10.70931, loss: 10.70931, batch_cost: 0.39538s, reader_cost: 0.01694, ips: 647.48175 images/sec, eta: 4:19:53 +[2022/05/18 17:50:01] ppcls INFO: [Train][Epoch 1/30][Iter: 980/1347]lr: 0.00583, CELoss: 10.67496, loss: 10.67496, batch_cost: 0.39545s, reader_cost: 0.01712, ips: 647.37190 images/sec, eta: 4:19:52 +[2022/05/18 17:50:05] ppcls INFO: [Train][Epoch 1/30][Iter: 990/1347]lr: 0.00589, CELoss: 10.64227, loss: 10.64227, batch_cost: 0.39530s, reader_cost: 0.01695, ips: 647.61313 images/sec, eta: 4:19:42 +[2022/05/18 17:50:09] ppcls INFO: [Train][Epoch 1/30][Iter: 1000/1347]lr: 0.00595, CELoss: 10.60976, loss: 10.60976, batch_cost: 0.39511s, reader_cost: 0.01679, ips: 647.91897 images/sec, eta: 4:19:31 +[2022/05/18 17:50:13] ppcls INFO: [Train][Epoch 1/30][Iter: 1010/1347]lr: 0.00600, CELoss: 10.57419, loss: 10.57419, batch_cost: 0.39493s, reader_cost: 0.01666, ips: 648.22231 images/sec, eta: 4:19:20 +[2022/05/18 17:50:17] ppcls INFO: [Train][Epoch 1/30][Iter: 1020/1347]lr: 0.00606, CELoss: 10.53946, loss: 10.53946, batch_cost: 0.39482s, reader_cost: 0.01664, ips: 648.40380 images/sec, eta: 4:19:11 +[2022/05/18 17:50:20] ppcls INFO: [Train][Epoch 1/30][Iter: 1030/1347]lr: 0.00612, CELoss: 10.50501, loss: 10.50501, batch_cost: 0.39460s, reader_cost: 0.01648, ips: 648.75569 images/sec, eta: 4:18:59 +[2022/05/18 17:50:24] ppcls INFO: [Train][Epoch 1/30][Iter: 1040/1347]lr: 0.00618, CELoss: 10.47178, loss: 10.47178, batch_cost: 0.39462s, reader_cost: 0.01648, ips: 648.71805 images/sec, eta: 4:18:56 +[2022/05/18 17:50:28] ppcls INFO: [Train][Epoch 1/30][Iter: 1050/1347]lr: 0.00624, CELoss: 10.43894, loss: 10.43894, batch_cost: 0.39442s, reader_cost: 0.01633, ips: 649.05977 images/sec, eta: 4:18:44 +[2022/05/18 17:50:32] ppcls INFO: [Train][Epoch 1/30][Iter: 1060/1347]lr: 0.00630, CELoss: 10.40614, loss: 10.40614, batch_cost: 0.39425s, reader_cost: 0.01621, ips: 649.33430 images/sec, eta: 4:18:33 +[2022/05/18 17:50:36] ppcls INFO: [Train][Epoch 1/30][Iter: 1070/1347]lr: 0.00636, CELoss: 10.37450, loss: 10.37450, batch_cost: 0.39408s, reader_cost: 0.01606, ips: 649.61961 images/sec, eta: 4:18:22 +[2022/05/18 17:50:40] ppcls INFO: [Train][Epoch 1/30][Iter: 1080/1347]lr: 0.00642, CELoss: 10.34310, loss: 10.34310, batch_cost: 0.39436s, reader_cost: 0.01633, ips: 649.15922 images/sec, eta: 4:18:30 +[2022/05/18 17:50:44] ppcls INFO: [Train][Epoch 1/30][Iter: 1090/1347]lr: 0.00648, CELoss: 10.31148, loss: 10.31148, batch_cost: 0.39416s, reader_cost: 0.01618, ips: 649.48452 images/sec, eta: 4:18:18 +[2022/05/18 17:50:47] ppcls INFO: [Train][Epoch 1/30][Iter: 1100/1347]lr: 0.00654, CELoss: 10.27767, loss: 10.27767, batch_cost: 0.39400s, reader_cost: 0.01604, ips: 649.74310 images/sec, eta: 4:18:08 +[2022/05/18 17:50:51] ppcls INFO: [Train][Epoch 1/30][Iter: 1110/1347]lr: 0.00660, CELoss: 10.24593, loss: 10.24593, batch_cost: 0.39381s, reader_cost: 0.01590, ips: 650.05604 images/sec, eta: 4:17:56 +[2022/05/18 17:50:55] ppcls INFO: [Train][Epoch 1/30][Iter: 1120/1347]lr: 0.00666, CELoss: 10.21501, loss: 10.21501, batch_cost: 0.39384s, reader_cost: 0.01587, ips: 650.01055 images/sec, eta: 4:17:53 +[2022/05/18 17:50:59] ppcls INFO: [Train][Epoch 1/30][Iter: 1130/1347]lr: 0.00672, CELoss: 10.18427, loss: 10.18427, batch_cost: 0.39407s, reader_cost: 0.01597, ips: 649.62892 images/sec, eta: 4:17:59 +[2022/05/18 17:51:04] ppcls INFO: [Train][Epoch 1/30][Iter: 1140/1347]lr: 0.00678, CELoss: 10.15070, loss: 10.15070, batch_cost: 0.39476s, reader_cost: 0.01658, ips: 648.49913 images/sec, eta: 4:18:22 +[2022/05/18 17:51:08] ppcls INFO: [Train][Epoch 1/30][Iter: 1150/1347]lr: 0.00684, CELoss: 10.12145, loss: 10.12145, batch_cost: 0.39513s, reader_cost: 0.01687, ips: 647.88310 images/sec, eta: 4:18:32 +[2022/05/18 17:51:13] ppcls INFO: [Train][Epoch 1/30][Iter: 1160/1347]lr: 0.00690, CELoss: 10.09166, loss: 10.09166, batch_cost: 0.39546s, reader_cost: 0.01724, ips: 647.34913 images/sec, eta: 4:18:41 +[2022/05/18 17:51:16] ppcls INFO: [Train][Epoch 1/30][Iter: 1170/1347]lr: 0.00695, CELoss: 10.06079, loss: 10.06079, batch_cost: 0.39524s, reader_cost: 0.01710, ips: 647.70501 images/sec, eta: 4:18:29 +[2022/05/18 17:51:20] ppcls INFO: [Train][Epoch 1/30][Iter: 1180/1347]lr: 0.00701, CELoss: 10.03169, loss: 10.03169, batch_cost: 0.39517s, reader_cost: 0.01708, ips: 647.82228 images/sec, eta: 4:18:22 +[2022/05/18 17:51:24] ppcls INFO: [Train][Epoch 1/30][Iter: 1190/1347]lr: 0.00707, CELoss: 10.00321, loss: 10.00321, batch_cost: 0.39513s, reader_cost: 0.01707, ips: 647.89377 images/sec, eta: 4:18:16 +[2022/05/18 17:51:28] ppcls INFO: [Train][Epoch 1/30][Iter: 1200/1347]lr: 0.00713, CELoss: 9.97390, loss: 9.97390, batch_cost: 0.39500s, reader_cost: 0.01693, ips: 648.09902 images/sec, eta: 4:18:08 +[2022/05/18 17:51:32] ppcls INFO: [Train][Epoch 1/30][Iter: 1210/1347]lr: 0.00719, CELoss: 9.94390, loss: 9.94390, batch_cost: 0.39498s, reader_cost: 0.01692, ips: 648.13183 images/sec, eta: 4:18:03 +[2022/05/18 17:51:36] ppcls INFO: [Train][Epoch 1/30][Iter: 1220/1347]lr: 0.00725, CELoss: 9.91451, loss: 9.91451, batch_cost: 0.39483s, reader_cost: 0.01681, ips: 648.37398 images/sec, eta: 4:17:53 +[2022/05/18 17:51:39] ppcls INFO: [Train][Epoch 1/30][Iter: 1230/1347]lr: 0.00731, CELoss: 9.88595, loss: 9.88595, batch_cost: 0.39474s, reader_cost: 0.01680, ips: 648.53160 images/sec, eta: 4:17:45 +[2022/05/18 17:51:43] ppcls INFO: [Train][Epoch 1/30][Iter: 1240/1347]lr: 0.00737, CELoss: 9.85616, loss: 9.85616, batch_cost: 0.39466s, reader_cost: 0.01667, ips: 648.65582 images/sec, eta: 4:17:38 +[2022/05/18 17:51:47] ppcls INFO: [Train][Epoch 1/30][Iter: 1250/1347]lr: 0.00743, CELoss: 9.82727, loss: 9.82727, batch_cost: 0.39469s, reader_cost: 0.01675, ips: 648.61361 images/sec, eta: 4:17:35 +[2022/05/18 17:51:51] ppcls INFO: [Train][Epoch 1/30][Iter: 1260/1347]lr: 0.00749, CELoss: 9.79879, loss: 9.79879, batch_cost: 0.39460s, reader_cost: 0.01672, ips: 648.75977 images/sec, eta: 4:17:28 +[2022/05/18 17:51:55] ppcls INFO: [Train][Epoch 1/30][Iter: 1270/1347]lr: 0.00755, CELoss: 9.76903, loss: 9.76903, batch_cost: 0.39453s, reader_cost: 0.01669, ips: 648.86846 images/sec, eta: 4:17:22 +[2022/05/18 17:51:59] ppcls INFO: [Train][Epoch 1/30][Iter: 1280/1347]lr: 0.00761, CELoss: 9.74165, loss: 9.74165, batch_cost: 0.39465s, reader_cost: 0.01679, ips: 648.66849 images/sec, eta: 4:17:22 +[2022/05/18 17:52:03] ppcls INFO: [Train][Epoch 1/30][Iter: 1290/1347]lr: 0.00767, CELoss: 9.71394, loss: 9.71394, batch_cost: 0.39449s, reader_cost: 0.01667, ips: 648.94236 images/sec, eta: 4:17:12 +[2022/05/18 17:52:07] ppcls INFO: [Train][Epoch 1/30][Iter: 1300/1347]lr: 0.00773, CELoss: 9.68563, loss: 9.68563, batch_cost: 0.39451s, reader_cost: 0.01675, ips: 648.91379 images/sec, eta: 4:17:09 +[2022/05/18 17:52:11] ppcls INFO: [Train][Epoch 1/30][Iter: 1310/1347]lr: 0.00779, CELoss: 9.65732, loss: 9.65732, batch_cost: 0.39454s, reader_cost: 0.01676, ips: 648.85754 images/sec, eta: 4:17:06 +[2022/05/18 17:52:15] ppcls INFO: [Train][Epoch 1/30][Iter: 1320/1347]lr: 0.00785, CELoss: 9.62907, loss: 9.62907, batch_cost: 0.39481s, reader_cost: 0.01701, ips: 648.40941 images/sec, eta: 4:17:13 +[2022/05/18 17:52:19] ppcls INFO: [Train][Epoch 1/30][Iter: 1330/1347]lr: 0.00790, CELoss: 9.60228, loss: 9.60228, batch_cost: 0.39512s, reader_cost: 0.01725, ips: 647.90136 images/sec, eta: 4:17:21 +[2022/05/18 17:52:24] ppcls INFO: [Train][Epoch 1/30][Iter: 1340/1347]lr: 0.00796, CELoss: 9.57522, loss: 9.57522, batch_cost: 0.39553s, reader_cost: 0.01763, ips: 647.22829 images/sec, eta: 4:17:33 +[2022/05/18 17:52:26] ppcls INFO: [Train][Epoch 1/30][Avg]CELoss: 9.55904, loss: 9.55904 +[2022/05/18 17:52:27] ppcls INFO: gallery feature calculation process: [0/617] +[2022/05/18 17:52:28] ppcls INFO: gallery feature calculation process: [10/617] +[2022/05/18 17:52:28] ppcls INFO: gallery feature calculation process: [20/617] +[2022/05/18 17:52:29] ppcls INFO: gallery feature calculation process: [30/617] +[2022/05/18 17:52:30] ppcls INFO: gallery feature calculation process: [40/617] +[2022/05/18 17:52:31] ppcls INFO: gallery feature calculation process: [50/617] +[2022/05/18 17:52:32] ppcls INFO: gallery feature 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+[2022/05/18 17:52:49] ppcls INFO: gallery feature calculation process: [310/617] +[2022/05/18 17:52:50] ppcls INFO: gallery feature calculation process: [320/617] +[2022/05/18 17:52:51] ppcls INFO: gallery feature calculation process: [330/617] +[2022/05/18 17:52:51] ppcls INFO: gallery feature calculation process: [340/617] +[2022/05/18 17:52:52] ppcls INFO: gallery feature calculation process: [350/617] +[2022/05/18 17:52:53] ppcls INFO: gallery feature calculation process: [360/617] +[2022/05/18 17:52:54] ppcls INFO: gallery feature calculation process: [370/617] +[2022/05/18 17:52:54] ppcls INFO: gallery feature calculation process: [380/617] +[2022/05/18 17:52:55] ppcls INFO: gallery feature calculation process: [390/617] +[2022/05/18 17:52:56] ppcls INFO: gallery feature calculation process: [400/617] +[2022/05/18 17:52:56] ppcls INFO: gallery feature calculation process: [410/617] +[2022/05/18 17:52:57] ppcls INFO: gallery feature calculation process: [420/617] +[2022/05/18 17:52:58] ppcls INFO: gallery feature calculation process: [430/617] +[2022/05/18 17:52:58] ppcls INFO: gallery feature calculation process: [440/617] +[2022/05/18 17:52:59] ppcls INFO: gallery feature calculation process: [450/617] +[2022/05/18 17:53:00] ppcls INFO: gallery feature calculation process: [460/617] +[2022/05/18 17:53:01] ppcls INFO: gallery feature calculation process: [470/617] +[2022/05/18 17:53:02] ppcls INFO: gallery feature calculation process: [480/617] +[2022/05/18 17:53:02] ppcls INFO: gallery feature calculation process: [490/617] +[2022/05/18 17:53:03] ppcls INFO: gallery feature calculation process: [500/617] +[2022/05/18 17:53:04] ppcls INFO: gallery feature calculation process: [510/617] +[2022/05/18 17:53:05] ppcls INFO: gallery feature calculation process: [520/617] +[2022/05/18 17:53:05] ppcls INFO: gallery feature calculation process: [530/617] +[2022/05/18 17:53:06] ppcls INFO: gallery feature calculation process: [540/617] +[2022/05/18 17:53:07] ppcls INFO: gallery feature calculation process: [550/617] +[2022/05/18 17:53:07] ppcls INFO: gallery feature calculation process: [560/617] +[2022/05/18 17:53:08] ppcls INFO: gallery feature calculation process: [570/617] +[2022/05/18 17:53:09] ppcls INFO: gallery feature calculation process: [580/617] +[2022/05/18 17:53:09] ppcls INFO: gallery feature calculation process: [590/617] +[2022/05/18 17:53:10] ppcls INFO: gallery feature calculation process: [600/617] +[2022/05/18 17:53:11] ppcls INFO: gallery feature calculation process: [610/617] +[2022/05/18 17:53:11] ppcls INFO: Build gallery done, all feat shape: [39457, 1280], begin to eval.. +[2022/05/18 17:53:12] ppcls INFO: query feature calculation process: [0/617] +[2022/05/18 17:53:13] ppcls INFO: query feature calculation process: [10/617] +[2022/05/18 17:53:14] ppcls INFO: query feature calculation process: [20/617] +[2022/05/18 17:53:14] ppcls INFO: query feature calculation process: [30/617] +[2022/05/18 17:53:15] ppcls INFO: query feature calculation process: [40/617] +[2022/05/18 17:53:16] ppcls INFO: query feature calculation process: [50/617] +[2022/05/18 17:53:16] ppcls INFO: query feature calculation process: [60/617] +[2022/05/18 17:53:17] ppcls INFO: query feature calculation process: [70/617] +[2022/05/18 17:53:18] ppcls INFO: query feature calculation process: [80/617] +[2022/05/18 17:53:18] ppcls INFO: query feature calculation process: [90/617] +[2022/05/18 17:53:19] ppcls INFO: query feature calculation process: [100/617] +[2022/05/18 17:53:20] ppcls INFO: query feature calculation process: [110/617] +[2022/05/18 17:53:21] ppcls INFO: query feature calculation process: [120/617] +[2022/05/18 17:53:21] ppcls INFO: query feature calculation process: [130/617] +[2022/05/18 17:53:22] ppcls INFO: query feature calculation process: [140/617] +[2022/05/18 17:53:23] ppcls INFO: query feature calculation process: [150/617] +[2022/05/18 17:53:24] ppcls INFO: query feature calculation process: [160/617] +[2022/05/18 17:53:25] ppcls INFO: query feature calculation process: [170/617] +[2022/05/18 17:53:26] ppcls INFO: query feature calculation process: [180/617] +[2022/05/18 17:53:26] ppcls INFO: query feature calculation process: [190/617] +[2022/05/18 17:53:27] ppcls INFO: query feature calculation process: [200/617] +[2022/05/18 17:53:28] ppcls INFO: query feature calculation process: [210/617] +[2022/05/18 17:53:29] ppcls INFO: query feature calculation process: [220/617] +[2022/05/18 17:53:30] ppcls INFO: query feature calculation process: [230/617] +[2022/05/18 17:53:31] ppcls INFO: query feature calculation process: [240/617] +[2022/05/18 17:53:32] ppcls INFO: query feature calculation process: [250/617] +[2022/05/18 17:53:33] ppcls INFO: query feature calculation process: [260/617] +[2022/05/18 17:53:34] ppcls INFO: query feature calculation process: [270/617] +[2022/05/18 17:53:34] ppcls INFO: query feature calculation process: [280/617] +[2022/05/18 17:53:35] ppcls INFO: query feature calculation process: [290/617] +[2022/05/18 17:53:36] ppcls INFO: query feature calculation process: [300/617] +[2022/05/18 17:53:36] ppcls INFO: query feature calculation process: [310/617] +[2022/05/18 17:53:37] ppcls INFO: query feature calculation process: [320/617] +[2022/05/18 17:53:38] ppcls INFO: query feature calculation process: [330/617] +[2022/05/18 17:53:38] ppcls INFO: query feature calculation process: [340/617] +[2022/05/18 17:53:39] ppcls INFO: query feature calculation process: [350/617] +[2022/05/18 17:53:40] ppcls INFO: query feature calculation process: [360/617] +[2022/05/18 17:53:41] ppcls INFO: query feature calculation process: [370/617] +[2022/05/18 17:53:41] ppcls INFO: query feature calculation process: [380/617] +[2022/05/18 17:53:42] ppcls INFO: query feature calculation process: [390/617] +[2022/05/18 17:53:43] ppcls INFO: query feature calculation process: [400/617] +[2022/05/18 17:53:44] ppcls INFO: query feature calculation process: [410/617] +[2022/05/18 17:53:44] ppcls INFO: query feature calculation process: [420/617] +[2022/05/18 17:53:45] ppcls INFO: query feature calculation process: [430/617] +[2022/05/18 17:53:46] ppcls INFO: query feature calculation process: [440/617] +[2022/05/18 17:53:46] ppcls INFO: query feature calculation process: [450/617] +[2022/05/18 17:53:47] ppcls INFO: query feature calculation process: [460/617] +[2022/05/18 17:53:48] ppcls INFO: query feature calculation process: [470/617] +[2022/05/18 17:53:48] ppcls INFO: query feature calculation process: [480/617] +[2022/05/18 17:53:49] ppcls INFO: query feature calculation process: [490/617] +[2022/05/18 17:53:50] ppcls INFO: query feature calculation process: [500/617] +[2022/05/18 17:53:51] ppcls INFO: query feature calculation process: [510/617] +[2022/05/18 17:53:51] ppcls INFO: query feature calculation process: [520/617] +[2022/05/18 17:53:52] ppcls INFO: query feature calculation process: [530/617] +[2022/05/18 17:53:53] ppcls INFO: query feature calculation process: [540/617] +[2022/05/18 17:53:54] ppcls INFO: query feature calculation process: [550/617] +[2022/05/18 17:53:54] ppcls INFO: query feature calculation process: [560/617] +[2022/05/18 17:53:55] ppcls INFO: query feature calculation process: [570/617] +[2022/05/18 17:53:56] ppcls INFO: query feature calculation process: [580/617] +[2022/05/18 17:53:57] ppcls INFO: query feature calculation process: [590/617] +[2022/05/18 17:53:57] ppcls INFO: query feature calculation process: [600/617] +[2022/05/18 17:53:58] ppcls INFO: query feature calculation process: [610/617] +[2022/05/18 17:53:59] ppcls INFO: Build query done, all feat shape: [39457, 1280], begin to eval.. +[2022/05/18 17:54:01] ppcls INFO: [Eval][Epoch 1][Avg]recall1: 0.87741, recall5: 0.94202 +[2022/05/18 17:54:01] ppcls INFO: Already save model in ./output/RecModel/best_model +[2022/05/18 17:54:01] ppcls INFO: [Eval][Epoch 1][best metric: 0.8774053037875084] +[2022/05/18 17:54:01] ppcls INFO: Already save model in ./output/RecModel/epoch_1 +[2022/05/18 17:54:02] ppcls INFO: Already save model in ./output/RecModel/latest +[2022/05/18 17:54:04] ppcls INFO: [Train][Epoch 2/30][Iter: 0/1347]lr: 0.00801, CELoss: 5.47979, loss: 5.47979, batch_cost: 0.39686s, reader_cost: 0.01902, ips: 645.05719 images/sec, eta: 4:18:22 +[2022/05/18 17:54:08] ppcls INFO: [Train][Epoch 2/30][Iter: 10/1347]lr: 0.00807, CELoss: 5.83726, loss: 5.83726, batch_cost: 0.40122s, reader_cost: 0.03509, ips: 638.05336 images/sec, eta: 4:21:08 +[2022/05/18 17:54:12] ppcls INFO: [Train][Epoch 2/30][Iter: 20/1347]lr: 0.00812, CELoss: 5.77588, loss: 5.77588, batch_cost: 0.39005s, reader_cost: 0.02217, ips: 656.32015 images/sec, eta: 4:13:48 +[2022/05/18 17:54:16] ppcls INFO: [Train][Epoch 2/30][Iter: 30/1347]lr: 0.00818, CELoss: 5.77781, loss: 5.77781, batch_cost: 0.38474s, reader_cost: 0.01388, ips: 665.37840 images/sec, eta: 4:10:17 +[2022/05/18 17:54:20] ppcls INFO: [Train][Epoch 2/30][Iter: 40/1347]lr: 0.00824, CELoss: 5.74694, loss: 5.74694, batch_cost: 0.38165s, reader_cost: 0.01122, ips: 670.77404 images/sec, eta: 4:08:13 +[2022/05/18 17:54:23] ppcls INFO: [Train][Epoch 2/30][Iter: 50/1347]lr: 0.00830, CELoss: 5.74047, loss: 5.74047, batch_cost: 0.38053s, reader_cost: 0.00893, ips: 672.73856 images/sec, eta: 4:07:25 +[2022/05/18 17:54:27] ppcls INFO: [Train][Epoch 2/30][Iter: 60/1347]lr: 0.00836, CELoss: 5.73241, loss: 5.73241, batch_cost: 0.38386s, reader_cost: 0.01280, ips: 666.90917 images/sec, eta: 4:09:31 +[2022/05/18 17:54:31] ppcls INFO: [Train][Epoch 2/30][Iter: 70/1347]lr: 0.00842, CELoss: 5.73527, loss: 5.73527, batch_cost: 0.38332s, reader_cost: 0.01308, ips: 667.84716 images/sec, eta: 4:09:06 +[2022/05/18 17:54:35] ppcls INFO: [Train][Epoch 2/30][Iter: 80/1347]lr: 0.00848, CELoss: 5.72684, loss: 5.72684, batch_cost: 0.38337s, reader_cost: 0.01165, ips: 667.76902 images/sec, eta: 4:09:04 +[2022/05/18 17:54:39] ppcls INFO: [Train][Epoch 2/30][Iter: 90/1347]lr: 0.00854, CELoss: 5.71404, loss: 5.71404, batch_cost: 0.39111s, reader_cost: 0.01809, ips: 654.54793 images/sec, eta: 4:14:02 +[2022/05/18 17:54:44] ppcls INFO: [Train][Epoch 2/30][Iter: 100/1347]lr: 0.00860, CELoss: 5.69211, loss: 5.69211, batch_cost: 0.39993s, reader_cost: 0.02553, ips: 640.11300 images/sec, eta: 4:19:42 +[2022/05/18 17:54:49] ppcls INFO: [Train][Epoch 2/30][Iter: 110/1347]lr: 0.00866, CELoss: 5.69261, loss: 5.69261, batch_cost: 0.40410s, reader_cost: 0.02902, ips: 633.51304 images/sec, eta: 4:22:20 +[2022/05/18 17:54:53] ppcls INFO: [Train][Epoch 2/30][Iter: 120/1347]lr: 0.00872, CELoss: 5.68019, loss: 5.68019, batch_cost: 0.40314s, reader_cost: 0.02885, ips: 635.01822 images/sec, eta: 4:21:39 +[2022/05/18 17:54:56] ppcls INFO: [Train][Epoch 2/30][Iter: 130/1347]lr: 0.00878, CELoss: 5.67037, loss: 5.67037, batch_cost: 0.40157s, reader_cost: 0.02765, ips: 637.49025 images/sec, eta: 4:20:34 +[2022/05/18 17:55:01] ppcls INFO: [Train][Epoch 2/30][Iter: 140/1347]lr: 0.00884, CELoss: 5.65654, loss: 5.65654, batch_cost: 0.40191s, reader_cost: 0.02803, ips: 636.96402 images/sec, eta: 4:20:43 +[2022/05/18 17:55:05] ppcls INFO: [Train][Epoch 2/30][Iter: 150/1347]lr: 0.00890, CELoss: 5.63466, loss: 5.63466, batch_cost: 0.40229s, reader_cost: 0.02833, ips: 636.35092 images/sec, eta: 4:20:54 +[2022/05/18 17:55:09] ppcls INFO: [Train][Epoch 2/30][Iter: 160/1347]lr: 0.00896, CELoss: 5.62082, loss: 5.62082, batch_cost: 0.40212s, reader_cost: 0.02753, ips: 636.62575 images/sec, eta: 4:20:43 +[2022/05/18 17:55:12] ppcls INFO: [Train][Epoch 2/30][Iter: 170/1347]lr: 0.00902, CELoss: 5.60612, loss: 5.60612, batch_cost: 0.40057s, reader_cost: 0.02591, ips: 639.08708 images/sec, eta: 4:19:39 +[2022/05/18 17:55:16] ppcls INFO: [Train][Epoch 2/30][Iter: 180/1347]lr: 0.00907, CELoss: 5.58007, loss: 5.58007, batch_cost: 0.39973s, reader_cost: 0.02546, ips: 640.43489 images/sec, eta: 4:19:02 +[2022/05/18 17:55:20] ppcls INFO: [Train][Epoch 2/30][Iter: 190/1347]lr: 0.00913, CELoss: 5.55955, loss: 5.55955, batch_cost: 0.39890s, reader_cost: 0.02500, ips: 641.76864 images/sec, eta: 4:18:26 +[2022/05/18 17:55:24] ppcls INFO: [Train][Epoch 2/30][Iter: 200/1347]lr: 0.00919, CELoss: 5.56249, loss: 5.56249, batch_cost: 0.39759s, reader_cost: 0.02376, ips: 643.87597 images/sec, eta: 4:17:31 +[2022/05/18 17:55:28] ppcls INFO: [Train][Epoch 2/30][Iter: 210/1347]lr: 0.00925, CELoss: 5.54684, loss: 5.54684, batch_cost: 0.39750s, reader_cost: 0.02339, ips: 644.01812 images/sec, eta: 4:17:24 +[2022/05/18 17:55:32] ppcls INFO: [Train][Epoch 2/30][Iter: 220/1347]lr: 0.00931, CELoss: 5.53630, loss: 5.53630, batch_cost: 0.39780s, reader_cost: 0.02369, ips: 643.53213 images/sec, eta: 4:17:31 +[2022/05/18 17:55:36] ppcls INFO: [Train][Epoch 2/30][Iter: 230/1347]lr: 0.00937, CELoss: 5.52077, loss: 5.52077, batch_cost: 0.39730s, reader_cost: 0.02344, ips: 644.34499 images/sec, eta: 4:17:08 +[2022/05/18 17:55:40] ppcls INFO: [Train][Epoch 2/30][Iter: 240/1347]lr: 0.00943, CELoss: 5.50390, loss: 5.50390, batch_cost: 0.39823s, reader_cost: 0.02398, ips: 642.84146 images/sec, eta: 4:17:40 +[2022/05/18 17:55:44] ppcls INFO: [Train][Epoch 2/30][Iter: 250/1347]lr: 0.00949, CELoss: 5.49076, loss: 5.49076, batch_cost: 0.39847s, reader_cost: 0.02435, ips: 642.45155 images/sec, eta: 4:17:45 +[2022/05/18 17:55:48] ppcls INFO: [Train][Epoch 2/30][Iter: 260/1347]lr: 0.00955, CELoss: 5.47212, loss: 5.47212, batch_cost: 0.39814s, reader_cost: 0.02396, ips: 642.99339 images/sec, eta: 4:17:28 +[2022/05/18 17:55:52] ppcls INFO: [Train][Epoch 2/30][Iter: 270/1347]lr: 0.00961, CELoss: 5.46695, loss: 5.46695, batch_cost: 0.39956s, reader_cost: 0.02489, ips: 640.70261 images/sec, eta: 4:18:20 +[2022/05/18 17:55:57] ppcls INFO: [Train][Epoch 2/30][Iter: 280/1347]lr: 0.00967, CELoss: 5.45259, loss: 5.45259, batch_cost: 0.40189s, reader_cost: 0.02677, ips: 636.98775 images/sec, eta: 4:19:46 +[2022/05/18 17:56:01] ppcls INFO: [Train][Epoch 2/30][Iter: 290/1347]lr: 0.00973, CELoss: 5.44303, loss: 5.44303, batch_cost: 0.40310s, reader_cost: 0.02769, ips: 635.07034 images/sec, eta: 4:20:29 +[2022/05/18 17:56:05] ppcls INFO: [Train][Epoch 2/30][Iter: 300/1347]lr: 0.00979, CELoss: 5.43399, loss: 5.43399, batch_cost: 0.40345s, reader_cost: 0.02812, ips: 634.52677 images/sec, eta: 4:20:38 +[2022/05/18 17:56:10] ppcls INFO: [Train][Epoch 2/30][Iter: 310/1347]lr: 0.00985, CELoss: 5.42329, loss: 5.42329, batch_cost: 0.40464s, reader_cost: 0.02895, ips: 632.66268 images/sec, eta: 4:21:20 +[2022/05/18 17:56:14] ppcls INFO: [Train][Epoch 2/30][Iter: 320/1347]lr: 0.00991, CELoss: 5.41025, loss: 5.41025, batch_cost: 0.40531s, reader_cost: 0.02955, ips: 631.61992 images/sec, eta: 4:21:42 +[2022/05/18 17:56:18] ppcls INFO: [Train][Epoch 2/30][Iter: 330/1347]lr: 0.00997, CELoss: 5.39722, loss: 5.39722, batch_cost: 0.40461s, reader_cost: 0.02904, ips: 632.71045 images/sec, eta: 4:21:11 +[2022/05/18 17:56:22] ppcls INFO: [Train][Epoch 2/30][Iter: 340/1347]lr: 0.01003, CELoss: 5.38700, loss: 5.38700, batch_cost: 0.40459s, reader_cost: 0.02911, ips: 632.74075 images/sec, eta: 4:21:06 +[2022/05/18 17:56:26] ppcls INFO: [Train][Epoch 2/30][Iter: 350/1347]lr: 0.01008, CELoss: 5.37820, loss: 5.37820, batch_cost: 0.40399s, reader_cost: 0.02872, ips: 633.67909 images/sec, eta: 4:20:39 +[2022/05/18 17:56:30] ppcls INFO: [Train][Epoch 2/30][Iter: 360/1347]lr: 0.01014, CELoss: 5.36733, loss: 5.36733, batch_cost: 0.40350s, reader_cost: 0.02840, ips: 634.44449 images/sec, eta: 4:20:16 +[2022/05/18 17:56:33] ppcls INFO: [Train][Epoch 2/30][Iter: 370/1347]lr: 0.01020, CELoss: 5.35367, loss: 5.35367, batch_cost: 0.40322s, reader_cost: 0.02812, ips: 634.89460 images/sec, eta: 4:20:01 +[2022/05/18 17:56:37] ppcls INFO: [Train][Epoch 2/30][Iter: 380/1347]lr: 0.01026, CELoss: 5.34049, loss: 5.34049, batch_cost: 0.40249s, reader_cost: 0.02743, ips: 636.04291 images/sec, eta: 4:19:29 +[2022/05/18 17:56:41] ppcls INFO: [Train][Epoch 2/30][Iter: 390/1347]lr: 0.01032, CELoss: 5.32952, loss: 5.32952, batch_cost: 0.40165s, reader_cost: 0.02673, ips: 637.37187 images/sec, eta: 4:18:52 +[2022/05/18 17:56:45] ppcls INFO: [Train][Epoch 2/30][Iter: 400/1347]lr: 0.01038, CELoss: 5.31725, loss: 5.31725, batch_cost: 0.40121s, reader_cost: 0.02608, ips: 638.07594 images/sec, eta: 4:18:31 +[2022/05/18 17:56:49] ppcls INFO: [Train][Epoch 2/30][Iter: 410/1347]lr: 0.01044, CELoss: 5.30552, loss: 5.30552, batch_cost: 0.40058s, reader_cost: 0.02545, ips: 639.07573 images/sec, eta: 4:18:03 +[2022/05/18 17:56:52] ppcls INFO: [Train][Epoch 2/30][Iter: 420/1347]lr: 0.01050, CELoss: 5.29166, loss: 5.29166, batch_cost: 0.39994s, reader_cost: 0.02486, ips: 640.08844 images/sec, eta: 4:17:35 +[2022/05/18 17:56:56] ppcls INFO: [Train][Epoch 2/30][Iter: 430/1347]lr: 0.01056, CELoss: 5.28049, loss: 5.28049, batch_cost: 0.39939s, reader_cost: 0.02429, ips: 640.98164 images/sec, eta: 4:17:09 +[2022/05/18 17:57:00] ppcls INFO: [Train][Epoch 2/30][Iter: 440/1347]lr: 0.01062, CELoss: 5.26714, loss: 5.26714, batch_cost: 0.39902s, reader_cost: 0.02374, ips: 641.56526 images/sec, eta: 4:16:51 +[2022/05/18 17:57:04] ppcls INFO: [Train][Epoch 2/30][Iter: 450/1347]lr: 0.01068, CELoss: 5.25985, loss: 5.25985, batch_cost: 0.39972s, reader_cost: 0.02380, ips: 640.45027 images/sec, eta: 4:17:14 +[2022/05/18 17:57:09] ppcls INFO: [Train][Epoch 2/30][Iter: 460/1347]lr: 0.01074, CELoss: 5.24912, loss: 5.24912, batch_cost: 0.40117s, reader_cost: 0.02488, ips: 638.13976 images/sec, eta: 4:18:06 +[2022/05/18 17:57:13] ppcls INFO: [Train][Epoch 2/30][Iter: 470/1347]lr: 0.01080, CELoss: 5.23944, loss: 5.23944, batch_cost: 0.40206s, reader_cost: 0.02571, ips: 636.72710 images/sec, eta: 4:18:36 +[2022/05/18 17:57:18] ppcls INFO: [Train][Epoch 2/30][Iter: 480/1347]lr: 0.01086, CELoss: 5.22583, loss: 5.22583, batch_cost: 0.40309s, reader_cost: 0.02653, ips: 635.08943 images/sec, eta: 4:19:12 +[2022/05/18 17:57:22] ppcls INFO: [Train][Epoch 2/30][Iter: 490/1347]lr: 0.01092, CELoss: 5.21439, loss: 5.21439, batch_cost: 0.40275s, reader_cost: 0.02631, ips: 635.63264 images/sec, eta: 4:18:55 +[2022/05/18 17:57:26] ppcls INFO: [Train][Epoch 2/30][Iter: 500/1347]lr: 0.01098, CELoss: 5.20541, loss: 5.20541, batch_cost: 0.40297s, reader_cost: 0.02663, ips: 635.29072 images/sec, eta: 4:18:59 +[2022/05/18 17:57:30] ppcls INFO: [Train][Epoch 2/30][Iter: 510/1347]lr: 0.01103, CELoss: 5.19560, loss: 5.19560, batch_cost: 0.40303s, reader_cost: 0.02667, ips: 635.18172 images/sec, eta: 4:18:58 +[2022/05/18 17:57:34] ppcls INFO: [Train][Epoch 2/30][Iter: 520/1347]lr: 0.01109, CELoss: 5.18574, loss: 5.18574, batch_cost: 0.40296s, reader_cost: 0.02673, ips: 635.29807 images/sec, eta: 4:18:51 +[2022/05/18 17:57:38] ppcls INFO: [Train][Epoch 2/30][Iter: 530/1347]lr: 0.01115, CELoss: 5.17631, loss: 5.17631, batch_cost: 0.40284s, reader_cost: 0.02662, ips: 635.48020 images/sec, eta: 4:18:42 +[2022/05/18 17:57:42] ppcls INFO: [Train][Epoch 2/30][Iter: 540/1347]lr: 0.01121, CELoss: 5.16547, loss: 5.16547, batch_cost: 0.40261s, reader_cost: 0.02645, ips: 635.85037 images/sec, eta: 4:18:29 +[2022/05/18 17:57:46] ppcls INFO: [Train][Epoch 2/30][Iter: 550/1347]lr: 0.01127, CELoss: 5.15674, loss: 5.15674, batch_cost: 0.40269s, reader_cost: 0.02648, ips: 635.73005 images/sec, eta: 4:18:28 +[2022/05/18 17:57:50] ppcls INFO: [Train][Epoch 2/30][Iter: 560/1347]lr: 0.01133, CELoss: 5.14547, loss: 5.14547, batch_cost: 0.40306s, reader_cost: 0.02684, ips: 635.13527 images/sec, eta: 4:18:39 +[2022/05/18 17:57:54] ppcls INFO: [Train][Epoch 2/30][Iter: 570/1347]lr: 0.01139, CELoss: 5.13597, loss: 5.13597, batch_cost: 0.40252s, reader_cost: 0.02640, ips: 635.98822 images/sec, eta: 4:18:14 +[2022/05/18 17:57:58] ppcls INFO: [Train][Epoch 2/30][Iter: 580/1347]lr: 0.01145, CELoss: 5.12755, loss: 5.12755, batch_cost: 0.40223s, reader_cost: 0.02622, ips: 636.44540 images/sec, eta: 4:17:59 +[2022/05/18 17:58:02] ppcls INFO: [Train][Epoch 2/30][Iter: 590/1347]lr: 0.01151, CELoss: 5.12055, loss: 5.12055, batch_cost: 0.40212s, reader_cost: 0.02613, ips: 636.63046 images/sec, eta: 4:17:50 +[2022/05/18 17:58:05] ppcls INFO: [Train][Epoch 2/30][Iter: 600/1347]lr: 0.01157, CELoss: 5.10997, loss: 5.10997, batch_cost: 0.40172s, reader_cost: 0.02576, ips: 637.26097 images/sec, eta: 4:17:31 +[2022/05/18 17:58:09] ppcls INFO: [Train][Epoch 2/30][Iter: 610/1347]lr: 0.01163, CELoss: 5.10275, loss: 5.10275, batch_cost: 0.40126s, reader_cost: 0.02537, ips: 637.99027 images/sec, eta: 4:17:09 +[2022/05/18 17:58:13] ppcls INFO: [Train][Epoch 2/30][Iter: 620/1347]lr: 0.01169, CELoss: 5.09343, loss: 5.09343, batch_cost: 0.40107s, reader_cost: 0.02496, ips: 638.28550 images/sec, eta: 4:16:58 +[2022/05/18 17:58:17] ppcls INFO: [Train][Epoch 2/30][Iter: 630/1347]lr: 0.01175, CELoss: 5.08401, loss: 5.08401, batch_cost: 0.40090s, reader_cost: 0.02458, ips: 638.56779 images/sec, eta: 4:16:47 +[2022/05/18 17:58:22] ppcls INFO: [Train][Epoch 2/30][Iter: 640/1347]lr: 0.01181, CELoss: 5.07395, loss: 5.07395, batch_cost: 0.40277s, reader_cost: 0.02603, ips: 635.60207 images/sec, eta: 4:17:55 +[2022/05/18 17:58:26] ppcls INFO: [Train][Epoch 2/30][Iter: 650/1347]lr: 0.01187, CELoss: 5.06367, loss: 5.06367, batch_cost: 0.40334s, reader_cost: 0.02658, ips: 634.69469 images/sec, eta: 4:18:13 +[2022/05/18 17:58:30] ppcls INFO: [Train][Epoch 2/30][Iter: 660/1347]lr: 0.01193, CELoss: 5.05382, loss: 5.05382, batch_cost: 0.40332s, reader_cost: 0.02658, ips: 634.72474 images/sec, eta: 4:18:08 +[2022/05/18 17:58:34] ppcls INFO: [Train][Epoch 2/30][Iter: 670/1347]lr: 0.01199, CELoss: 5.04736, loss: 5.04736, batch_cost: 0.40297s, reader_cost: 0.02619, ips: 635.27608 images/sec, eta: 4:17:51 +[2022/05/18 17:58:38] ppcls INFO: [Train][Epoch 2/30][Iter: 680/1347]lr: 0.01204, CELoss: 5.04059, loss: 5.04059, batch_cost: 0.40275s, reader_cost: 0.02601, ips: 635.63246 images/sec, eta: 4:17:38 +[2022/05/18 17:58:42] ppcls INFO: [Train][Epoch 2/30][Iter: 690/1347]lr: 0.01210, CELoss: 5.02940, loss: 5.02940, batch_cost: 0.40251s, reader_cost: 0.02584, ips: 636.01685 images/sec, eta: 4:17:25 +[2022/05/18 17:58:46] ppcls INFO: [Train][Epoch 2/30][Iter: 700/1347]lr: 0.01216, CELoss: 5.02041, loss: 5.02041, batch_cost: 0.40224s, reader_cost: 0.02569, ips: 636.44124 images/sec, eta: 4:17:11 +[2022/05/18 17:58:50] ppcls INFO: [Train][Epoch 2/30][Iter: 710/1347]lr: 0.01222, CELoss: 5.01307, loss: 5.01307, batch_cost: 0.40186s, reader_cost: 0.02535, ips: 637.03814 images/sec, eta: 4:16:52 +[2022/05/18 17:58:54] ppcls INFO: [Train][Epoch 2/30][Iter: 720/1347]lr: 0.01228, CELoss: 5.00582, loss: 5.00582, batch_cost: 0.40189s, reader_cost: 0.02540, ips: 636.98357 images/sec, eta: 4:16:49 +[2022/05/18 17:58:57] ppcls INFO: [Train][Epoch 2/30][Iter: 730/1347]lr: 0.01234, CELoss: 4.99493, loss: 4.99493, batch_cost: 0.40154s, reader_cost: 0.02513, ips: 637.54981 images/sec, eta: 4:16:32 +[2022/05/18 17:59:01] ppcls INFO: [Train][Epoch 2/30][Iter: 740/1347]lr: 0.01240, CELoss: 4.98649, loss: 4.98649, batch_cost: 0.40137s, reader_cost: 0.02503, ips: 637.80965 images/sec, eta: 4:16:21 +[2022/05/18 17:59:05] ppcls INFO: [Train][Epoch 2/30][Iter: 750/1347]lr: 0.01246, CELoss: 4.97753, loss: 4.97753, batch_cost: 0.40141s, reader_cost: 0.02494, ips: 637.75022 images/sec, eta: 4:16:19 +[2022/05/18 17:59:09] ppcls INFO: [Train][Epoch 2/30][Iter: 760/1347]lr: 0.01252, CELoss: 4.96993, loss: 4.96993, batch_cost: 0.40113s, reader_cost: 0.02464, ips: 638.19920 images/sec, eta: 4:16:04 +[2022/05/18 17:59:13] ppcls INFO: [Train][Epoch 2/30][Iter: 770/1347]lr: 0.01258, CELoss: 4.96167, loss: 4.96167, batch_cost: 0.40089s, reader_cost: 0.02454, ips: 638.57746 images/sec, eta: 4:15:51 +[2022/05/18 17:59:17] ppcls INFO: [Train][Epoch 2/30][Iter: 780/1347]lr: 0.01264, CELoss: 4.95334, loss: 4.95334, batch_cost: 0.40100s, reader_cost: 0.02476, ips: 638.40034 images/sec, eta: 4:15:51 +[2022/05/18 17:59:21] ppcls INFO: [Train][Epoch 2/30][Iter: 790/1347]lr: 0.01270, CELoss: 4.94258, loss: 4.94258, batch_cost: 0.40078s, reader_cost: 0.02463, ips: 638.75289 images/sec, eta: 4:15:39 +[2022/05/18 17:59:25] ppcls INFO: [Train][Epoch 2/30][Iter: 800/1347]lr: 0.01276, CELoss: 4.93434, loss: 4.93434, batch_cost: 0.40120s, reader_cost: 0.02488, ips: 638.09329 images/sec, eta: 4:15:50 +[2022/05/18 17:59:30] ppcls INFO: [Train][Epoch 2/30][Iter: 810/1347]lr: 0.01282, CELoss: 4.92665, loss: 4.92665, batch_cost: 0.40205s, reader_cost: 0.02548, ips: 636.74182 images/sec, eta: 4:16:19 +[2022/05/18 17:59:35] ppcls INFO: [Train][Epoch 2/30][Iter: 820/1347]lr: 0.01288, CELoss: 4.91969, loss: 4.91969, batch_cost: 0.40324s, reader_cost: 0.02649, ips: 634.85013 images/sec, eta: 4:17:01 +[2022/05/18 17:59:39] ppcls INFO: [Train][Epoch 2/30][Iter: 830/1347]lr: 0.01294, CELoss: 4.91126, loss: 4.91126, batch_cost: 0.40381s, reader_cost: 0.02688, ips: 633.96726 images/sec, eta: 4:17:18 +[2022/05/18 17:59:44] ppcls INFO: [Train][Epoch 2/30][Iter: 840/1347]lr: 0.01299, CELoss: 4.90502, loss: 4.90502, batch_cost: 0.40415s, reader_cost: 0.02728, ips: 633.43031 images/sec, eta: 4:17:27 +[2022/05/18 17:59:48] ppcls INFO: [Train][Epoch 2/30][Iter: 850/1347]lr: 0.01305, CELoss: 4.89583, loss: 4.89583, batch_cost: 0.40387s, reader_cost: 0.02713, ips: 633.86387 images/sec, eta: 4:17:13 +[2022/05/18 17:59:52] ppcls INFO: [Train][Epoch 2/30][Iter: 860/1347]lr: 0.01311, CELoss: 4.88852, loss: 4.88852, batch_cost: 0.40395s, reader_cost: 0.02721, ips: 633.74487 images/sec, eta: 4:17:12 +[2022/05/18 17:59:56] ppcls INFO: [Train][Epoch 2/30][Iter: 870/1347]lr: 0.01317, CELoss: 4.88208, loss: 4.88208, batch_cost: 0.40416s, reader_cost: 0.02729, ips: 633.41556 images/sec, eta: 4:17:16 +[2022/05/18 18:00:00] ppcls INFO: [Train][Epoch 2/30][Iter: 880/1347]lr: 0.01323, CELoss: 4.87510, loss: 4.87510, batch_cost: 0.40397s, reader_cost: 0.02719, ips: 633.70319 images/sec, eta: 4:17:04 +[2022/05/18 18:00:04] ppcls INFO: [Train][Epoch 2/30][Iter: 890/1347]lr: 0.01329, CELoss: 4.86762, loss: 4.86762, batch_cost: 0.40374s, reader_cost: 0.02708, ips: 634.06473 images/sec, eta: 4:16:52 +[2022/05/18 18:00:07] ppcls INFO: [Train][Epoch 2/30][Iter: 900/1347]lr: 0.01335, CELoss: 4.85936, loss: 4.85936, batch_cost: 0.40342s, reader_cost: 0.02679, ips: 634.57856 images/sec, eta: 4:16:35 +[2022/05/18 18:00:11] ppcls INFO: [Train][Epoch 2/30][Iter: 910/1347]lr: 0.01341, CELoss: 4.85100, loss: 4.85100, batch_cost: 0.40316s, reader_cost: 0.02650, ips: 634.97583 images/sec, eta: 4:16:21 +[2022/05/18 18:00:15] ppcls INFO: [Train][Epoch 2/30][Iter: 920/1347]lr: 0.01347, CELoss: 4.84230, loss: 4.84230, batch_cost: 0.40286s, reader_cost: 0.02622, ips: 635.46197 images/sec, eta: 4:16:06 +[2022/05/18 18:00:19] ppcls INFO: [Train][Epoch 2/30][Iter: 930/1347]lr: 0.01353, CELoss: 4.83432, loss: 4.83432, batch_cost: 0.40253s, reader_cost: 0.02594, ips: 635.98525 images/sec, eta: 4:15:49 +[2022/05/18 18:00:22] ppcls INFO: [Train][Epoch 2/30][Iter: 940/1347]lr: 0.01359, CELoss: 4.82698, loss: 4.82698, batch_cost: 0.40228s, reader_cost: 0.02567, ips: 636.37036 images/sec, eta: 4:15:36 +[2022/05/18 18:00:26] ppcls INFO: [Train][Epoch 2/30][Iter: 950/1347]lr: 0.01365, CELoss: 4.81960, loss: 4.81960, batch_cost: 0.40205s, reader_cost: 0.02541, ips: 636.74325 images/sec, eta: 4:15:23 +[2022/05/18 18:00:30] ppcls INFO: [Train][Epoch 2/30][Iter: 960/1347]lr: 0.01371, CELoss: 4.81144, loss: 4.81144, batch_cost: 0.40192s, reader_cost: 0.02528, ips: 636.94197 images/sec, eta: 4:15:14 +[2022/05/18 18:00:34] ppcls INFO: [Train][Epoch 2/30][Iter: 970/1347]lr: 0.01377, CELoss: 4.80447, loss: 4.80447, batch_cost: 0.40190s, reader_cost: 0.02516, ips: 636.97482 images/sec, eta: 4:15:09 +[2022/05/18 18:00:38] ppcls INFO: [Train][Epoch 2/30][Iter: 980/1347]lr: 0.01383, CELoss: 4.79620, loss: 4.79620, batch_cost: 0.40211s, reader_cost: 0.02543, ips: 636.64534 images/sec, eta: 4:15:13 +[2022/05/18 18:00:42] ppcls INFO: [Train][Epoch 2/30][Iter: 990/1347]lr: 0.01389, CELoss: 4.78868, loss: 4.78868, batch_cost: 0.40196s, reader_cost: 0.02518, ips: 636.87408 images/sec, eta: 4:15:03 +[2022/05/18 18:00:47] ppcls INFO: [Train][Epoch 2/30][Iter: 1000/1347]lr: 0.01395, CELoss: 4.78082, loss: 4.78082, batch_cost: 0.40227s, reader_cost: 0.02547, ips: 636.39611 images/sec, eta: 4:15:11 +[2022/05/18 18:00:51] ppcls INFO: [Train][Epoch 2/30][Iter: 1010/1347]lr: 0.01400, CELoss: 4.77361, loss: 4.77361, batch_cost: 0.40262s, reader_cost: 0.02563, ips: 635.83703 images/sec, eta: 4:15:20 +[2022/05/18 18:00:55] ppcls INFO: [Train][Epoch 2/30][Iter: 1020/1347]lr: 0.01406, CELoss: 4.76704, loss: 4.76704, batch_cost: 0.40310s, reader_cost: 0.02609, ips: 635.07236 images/sec, eta: 4:15:35 +[2022/05/18 18:01:00] ppcls INFO: [Train][Epoch 2/30][Iter: 1030/1347]lr: 0.01412, CELoss: 4.76030, loss: 4.76030, batch_cost: 0.40334s, reader_cost: 0.02625, ips: 634.69433 images/sec, eta: 4:15:40 +[2022/05/18 18:01:04] ppcls INFO: [Train][Epoch 2/30][Iter: 1040/1347]lr: 0.01418, CELoss: 4.75432, loss: 4.75432, batch_cost: 0.40379s, reader_cost: 0.02673, ips: 633.98555 images/sec, eta: 4:15:53 +[2022/05/18 18:01:08] ppcls INFO: [Train][Epoch 2/30][Iter: 1050/1347]lr: 0.01424, CELoss: 4.74666, loss: 4.74666, batch_cost: 0.40363s, reader_cost: 0.02660, ips: 634.24473 images/sec, eta: 4:15:43 +[2022/05/18 18:01:12] ppcls INFO: [Train][Epoch 2/30][Iter: 1060/1347]lr: 0.01430, CELoss: 4.73994, loss: 4.73994, batch_cost: 0.40359s, reader_cost: 0.02663, ips: 634.31390 images/sec, eta: 4:15:37 +[2022/05/18 18:01:16] ppcls INFO: [Train][Epoch 2/30][Iter: 1070/1347]lr: 0.01436, CELoss: 4.73247, loss: 4.73247, batch_cost: 0.40337s, reader_cost: 0.02638, ips: 634.64753 images/sec, eta: 4:15:25 +[2022/05/18 18:01:20] ppcls INFO: [Train][Epoch 2/30][Iter: 1080/1347]lr: 0.01442, CELoss: 4.72466, loss: 4.72466, batch_cost: 0.40337s, reader_cost: 0.02640, ips: 634.65074 images/sec, eta: 4:15:21 +[2022/05/18 18:01:24] ppcls INFO: [Train][Epoch 2/30][Iter: 1090/1347]lr: 0.01448, CELoss: 4.71669, loss: 4.71669, batch_cost: 0.40312s, reader_cost: 0.02616, ips: 635.03961 images/sec, eta: 4:15:07 +[2022/05/18 18:01:28] ppcls INFO: [Train][Epoch 2/30][Iter: 1100/1347]lr: 0.01454, CELoss: 4.70979, loss: 4.70979, batch_cost: 0.40309s, reader_cost: 0.02618, ips: 635.09793 images/sec, eta: 4:15:02 +[2022/05/18 18:01:32] ppcls INFO: [Train][Epoch 2/30][Iter: 1110/1347]lr: 0.01460, CELoss: 4.70269, loss: 4.70269, batch_cost: 0.40312s, reader_cost: 0.02622, ips: 635.04790 images/sec, eta: 4:14:59 +[2022/05/18 18:01:36] ppcls INFO: [Train][Epoch 2/30][Iter: 1120/1347]lr: 0.01466, CELoss: 4.69626, loss: 4.69626, batch_cost: 0.40301s, reader_cost: 0.02612, ips: 635.21816 images/sec, eta: 4:14:51 +[2022/05/18 18:01:40] ppcls INFO: [Train][Epoch 2/30][Iter: 1130/1347]lr: 0.01472, CELoss: 4.68884, loss: 4.68884, batch_cost: 0.40304s, reader_cost: 0.02606, ips: 635.17023 images/sec, eta: 4:14:48 +[2022/05/18 18:01:44] ppcls INFO: [Train][Epoch 2/30][Iter: 1140/1347]lr: 0.01478, CELoss: 4.68129, loss: 4.68129, batch_cost: 0.40322s, reader_cost: 0.02621, ips: 634.88263 images/sec, eta: 4:14:51 +[2022/05/18 18:01:48] ppcls INFO: [Train][Epoch 2/30][Iter: 1150/1347]lr: 0.01484, CELoss: 4.67513, loss: 4.67513, batch_cost: 0.40308s, reader_cost: 0.02610, ips: 635.11633 images/sec, eta: 4:14:41 +[2022/05/18 18:01:52] ppcls INFO: [Train][Epoch 2/30][Iter: 1160/1347]lr: 0.01490, CELoss: 4.66855, loss: 4.66855, batch_cost: 0.40318s, reader_cost: 0.02623, ips: 634.94712 images/sec, eta: 4:14:41 +[2022/05/18 18:01:56] ppcls INFO: [Train][Epoch 2/30][Iter: 1170/1347]lr: 0.01495, CELoss: 4.66255, loss: 4.66255, batch_cost: 0.40311s, reader_cost: 0.02601, ips: 635.06724 images/sec, eta: 4:14:34 +[2022/05/18 18:02:01] ppcls INFO: [Train][Epoch 2/30][Iter: 1180/1347]lr: 0.01501, CELoss: 4.65532, loss: 4.65532, batch_cost: 0.40376s, reader_cost: 0.02649, ips: 634.04160 images/sec, eta: 4:14:55 +[2022/05/18 18:02:06] ppcls INFO: [Train][Epoch 2/30][Iter: 1190/1347]lr: 0.01507, CELoss: 4.64870, loss: 4.64870, batch_cost: 0.40449s, reader_cost: 0.02704, ips: 632.90221 images/sec, eta: 4:15:19 +[2022/05/18 18:02:10] ppcls INFO: [Train][Epoch 2/30][Iter: 1200/1347]lr: 0.01513, CELoss: 4.64292, loss: 4.64292, batch_cost: 0.40475s, reader_cost: 0.02735, ips: 632.49533 images/sec, eta: 4:15:24 +[2022/05/18 18:02:14] ppcls INFO: [Train][Epoch 2/30][Iter: 1210/1347]lr: 0.01519, CELoss: 4.63687, loss: 4.63687, batch_cost: 0.40474s, reader_cost: 0.02738, ips: 632.50253 images/sec, eta: 4:15:20 +[2022/05/18 18:02:18] ppcls INFO: [Train][Epoch 2/30][Iter: 1220/1347]lr: 0.01525, CELoss: 4.63040, loss: 4.63040, batch_cost: 0.40470s, reader_cost: 0.02736, ips: 632.56569 images/sec, eta: 4:15:15 +[2022/05/18 18:02:22] ppcls INFO: [Train][Epoch 2/30][Iter: 1230/1347]lr: 0.01531, CELoss: 4.62399, loss: 4.62399, batch_cost: 0.40458s, reader_cost: 0.02726, ips: 632.75288 images/sec, eta: 4:15:06 +[2022/05/18 18:02:26] ppcls INFO: [Train][Epoch 2/30][Iter: 1240/1347]lr: 0.01537, CELoss: 4.61803, loss: 4.61803, batch_cost: 0.40448s, reader_cost: 0.02715, ips: 632.91210 images/sec, eta: 4:14:58 +[2022/05/18 18:02:30] ppcls INFO: [Train][Epoch 2/30][Iter: 1250/1347]lr: 0.01543, CELoss: 4.61042, loss: 4.61042, batch_cost: 0.40447s, reader_cost: 0.02716, ips: 632.92248 images/sec, eta: 4:14:54 +[2022/05/18 18:02:34] ppcls INFO: [Train][Epoch 2/30][Iter: 1260/1347]lr: 0.01549, CELoss: 4.60394, loss: 4.60394, batch_cost: 0.40439s, reader_cost: 0.02705, ips: 633.04954 images/sec, eta: 4:14:47 +[2022/05/18 18:02:38] ppcls INFO: [Train][Epoch 2/30][Iter: 1270/1347]lr: 0.01555, CELoss: 4.59747, loss: 4.59747, batch_cost: 0.40437s, reader_cost: 0.02706, ips: 633.08076 images/sec, eta: 4:14:42 +[2022/05/18 18:02:42] ppcls INFO: [Train][Epoch 2/30][Iter: 1280/1347]lr: 0.01561, CELoss: 4.58985, loss: 4.58985, batch_cost: 0.40426s, reader_cost: 0.02697, ips: 633.25016 images/sec, eta: 4:14:34 +[2022/05/18 18:02:46] ppcls INFO: [Train][Epoch 2/30][Iter: 1290/1347]lr: 0.01567, CELoss: 4.58316, loss: 4.58316, batch_cost: 0.40413s, reader_cost: 0.02688, ips: 633.45627 images/sec, eta: 4:14:25 +[2022/05/18 18:02:50] ppcls INFO: [Train][Epoch 2/30][Iter: 1300/1347]lr: 0.01573, CELoss: 4.57672, loss: 4.57672, batch_cost: 0.40435s, reader_cost: 0.02705, ips: 633.10836 images/sec, eta: 4:14:29 +[2022/05/18 18:02:54] ppcls INFO: [Train][Epoch 2/30][Iter: 1310/1347]lr: 0.01579, CELoss: 4.57000, loss: 4.57000, batch_cost: 0.40435s, reader_cost: 0.02705, ips: 633.11939 images/sec, eta: 4:14:25 +[2022/05/18 18:02:58] ppcls INFO: [Train][Epoch 2/30][Iter: 1320/1347]lr: 0.01585, CELoss: 4.56375, loss: 4.56375, batch_cost: 0.40429s, reader_cost: 0.02707, ips: 633.20848 images/sec, eta: 4:14:19 +[2022/05/18 18:03:02] ppcls INFO: [Train][Epoch 2/30][Iter: 1330/1347]lr: 0.01590, CELoss: 4.55776, loss: 4.55776, batch_cost: 0.40416s, reader_cost: 0.02699, ips: 633.41881 images/sec, eta: 4:14:10 +[2022/05/18 18:03:06] ppcls INFO: [Train][Epoch 2/30][Iter: 1340/1347]lr: 0.01596, CELoss: 4.55175, loss: 4.55175, batch_cost: 0.40420s, reader_cost: 0.02700, ips: 633.35039 images/sec, eta: 4:14:07 +[2022/05/18 18:03:08] ppcls INFO: [Train][Epoch 2/30][Avg]CELoss: 4.54732, loss: 4.54732 +[2022/05/18 18:03:09] ppcls INFO: gallery feature calculation process: [0/617] +[2022/05/18 18:03:10] ppcls INFO: gallery feature calculation process: [10/617] +[2022/05/18 18:03:11] ppcls INFO: gallery feature calculation process: [20/617] +[2022/05/18 18:03:12] ppcls INFO: gallery feature calculation process: [30/617] +[2022/05/18 18:03:13] ppcls INFO: gallery feature calculation process: [40/617] +[2022/05/18 18:03:14] ppcls INFO: gallery feature calculation process: [50/617] +[2022/05/18 18:03:15] ppcls INFO: gallery feature calculation process: [60/617] +[2022/05/18 18:03:16] ppcls INFO: gallery feature calculation process: [70/617] +[2022/05/18 18:03:17] ppcls INFO: gallery feature calculation process: [80/617] +[2022/05/18 18:03:18] ppcls INFO: gallery feature calculation 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+[2022/05/18 18:04:33] ppcls INFO: query feature calculation process: [450/617] +[2022/05/18 18:04:34] ppcls INFO: query feature calculation process: [460/617] +[2022/05/18 18:04:35] ppcls INFO: query feature calculation process: [470/617] +[2022/05/18 18:04:36] ppcls INFO: query feature calculation process: [480/617] +[2022/05/18 18:04:36] ppcls INFO: query feature calculation process: [490/617] +[2022/05/18 18:04:37] ppcls INFO: query feature calculation process: [500/617] +[2022/05/18 18:04:38] ppcls INFO: query feature calculation process: [510/617] +[2022/05/18 18:04:39] ppcls INFO: query feature calculation process: [520/617] +[2022/05/18 18:04:40] ppcls INFO: query feature calculation process: [530/617] +[2022/05/18 18:04:40] ppcls INFO: query feature calculation process: [540/617] +[2022/05/18 18:04:41] ppcls INFO: query feature calculation process: [550/617] +[2022/05/18 18:04:42] ppcls INFO: query feature calculation process: [560/617] +[2022/05/18 18:04:43] ppcls INFO: query feature calculation process: [570/617] +[2022/05/18 18:04:43] ppcls INFO: query feature calculation process: [580/617] +[2022/05/18 18:04:44] ppcls INFO: query feature calculation process: [590/617] +[2022/05/18 18:04:45] ppcls INFO: query feature calculation process: [600/617] +[2022/05/18 18:04:45] ppcls INFO: query feature calculation process: [610/617] +[2022/05/18 18:04:46] ppcls INFO: Build query done, all feat shape: [39457, 1280], begin to eval.. +[2022/05/18 18:04:48] ppcls INFO: [Eval][Epoch 2][Avg]recall1: 0.90965, recall5: 0.95662 +[2022/05/18 18:04:48] ppcls INFO: Already save model in ./output/RecModel/best_model +[2022/05/18 18:04:48] ppcls INFO: [Eval][Epoch 2][best metric: 0.9096454307378422] +[2022/05/18 18:04:49] ppcls INFO: Already save model in ./output/RecModel/epoch_2 +[2022/05/18 18:04:49] ppcls INFO: Already save model in ./output/RecModel/latest +[2022/05/18 18:04:51] ppcls INFO: [Train][Epoch 3/30][Iter: 0/1347]lr: 0.01601, CELoss: 3.46191, loss: 3.46191, batch_cost: 0.40548s, reader_cost: 0.02831, ips: 631.34541 images/sec, eta: 4:14:53 +[2022/05/18 18:04:55] ppcls INFO: [Train][Epoch 3/30][Iter: 10/1347]lr: 0.01607, CELoss: 3.76491, loss: 3.76491, batch_cost: 0.39045s, reader_cost: 0.02133, ips: 655.64786 images/sec, eta: 4:05:22 +[2022/05/18 18:05:00] ppcls INFO: [Train][Epoch 3/30][Iter: 20/1347]lr: 0.01612, CELoss: 3.69330, loss: 3.69330, batch_cost: 0.41039s, reader_cost: 0.03685, ips: 623.80405 images/sec, eta: 4:17:49 +[2022/05/18 18:05:04] ppcls INFO: [Train][Epoch 3/30][Iter: 30/1347]lr: 0.01618, CELoss: 3.69411, loss: 3.69411, batch_cost: 0.40413s, reader_cost: 0.03067, ips: 633.46015 images/sec, eta: 4:13:50 +[2022/05/18 18:05:08] ppcls INFO: [Train][Epoch 3/30][Iter: 40/1347]lr: 0.01624, CELoss: 3.69660, loss: 3.69660, batch_cost: 0.40298s, reader_cost: 0.02994, ips: 635.27225 images/sec, eta: 4:13:02 +[2022/05/18 18:05:12] ppcls INFO: [Train][Epoch 3/30][Iter: 50/1347]lr: 0.01630, CELoss: 3.68830, loss: 3.68830, batch_cost: 0.40452s, reader_cost: 0.02999, ips: 632.84736 images/sec, eta: 4:13:56 +[2022/05/18 18:05:16] ppcls INFO: [Train][Epoch 3/30][Iter: 60/1347]lr: 0.01636, CELoss: 3.65363, loss: 3.65363, batch_cost: 0.40237s, reader_cost: 0.02830, ips: 636.22841 images/sec, eta: 4:12:31 +[2022/05/18 18:05:20] ppcls INFO: [Train][Epoch 3/30][Iter: 70/1347]lr: 0.01642, CELoss: 3.64565, loss: 3.64565, batch_cost: 0.40614s, reader_cost: 0.03196, ips: 630.31870 images/sec, eta: 4:14:49 +[2022/05/18 18:05:24] ppcls INFO: [Train][Epoch 3/30][Iter: 80/1347]lr: 0.01648, CELoss: 3.64939, loss: 3.64939, batch_cost: 0.40431s, reader_cost: 0.03083, ips: 633.17136 images/sec, eta: 4:13:36 +[2022/05/18 18:05:28] ppcls INFO: [Train][Epoch 3/30][Iter: 90/1347]lr: 0.01654, CELoss: 3.65086, loss: 3.65086, batch_cost: 0.40469s, reader_cost: 0.03175, ips: 632.57958 images/sec, eta: 4:13:46 +[2022/05/18 18:05:32] ppcls INFO: [Train][Epoch 3/30][Iter: 100/1347]lr: 0.01660, CELoss: 3.63710, loss: 3.63710, batch_cost: 0.40523s, reader_cost: 0.03182, ips: 631.73591 images/sec, eta: 4:14:03 +[2022/05/18 18:05:37] ppcls INFO: [Train][Epoch 3/30][Iter: 110/1347]lr: 0.01666, CELoss: 3.63365, loss: 3.63365, batch_cost: 0.41038s, reader_cost: 0.03509, ips: 623.80718 images/sec, eta: 4:17:12 +[2022/05/18 18:05:41] ppcls INFO: [Train][Epoch 3/30][Iter: 120/1347]lr: 0.01672, CELoss: 3.62570, loss: 3.62570, batch_cost: 0.41431s, reader_cost: 0.03884, ips: 617.89619 images/sec, eta: 4:19:36 +[2022/05/18 18:05:46] ppcls INFO: [Train][Epoch 3/30][Iter: 130/1347]lr: 0.01678, CELoss: 3.60685, loss: 3.60685, batch_cost: 0.42031s, reader_cost: 0.04429, ips: 609.07236 images/sec, eta: 4:23:17 +[2022/05/18 18:05:50] ppcls INFO: [Train][Epoch 3/30][Iter: 140/1347]lr: 0.01684, CELoss: 3.60888, loss: 3.60888, batch_cost: 0.41771s, reader_cost: 0.04224, ips: 612.86661 images/sec, eta: 4:21:35 +[2022/05/18 18:05:54] ppcls INFO: [Train][Epoch 3/30][Iter: 150/1347]lr: 0.01690, CELoss: 3.61041, loss: 3.61041, batch_cost: 0.41576s, reader_cost: 0.04036, ips: 615.74550 images/sec, eta: 4:20:18 +[2022/05/18 18:05:58] ppcls INFO: [Train][Epoch 3/30][Iter: 160/1347]lr: 0.01696, CELoss: 3.61009, loss: 3.61009, batch_cost: 0.41323s, reader_cost: 0.03782, ips: 619.51244 images/sec, eta: 4:18:39 +[2022/05/18 18:06:02] ppcls INFO: [Train][Epoch 3/30][Iter: 170/1347]lr: 0.01702, CELoss: 3.61141, loss: 3.61141, batch_cost: 0.41220s, reader_cost: 0.03733, ips: 621.05188 images/sec, eta: 4:17:56 +[2022/05/18 18:06:06] ppcls INFO: [Train][Epoch 3/30][Iter: 180/1347]lr: 0.01707, CELoss: 3.60910, loss: 3.60910, batch_cost: 0.41190s, reader_cost: 0.03683, ips: 621.50995 images/sec, eta: 4:17:41 +[2022/05/18 18:06:10] ppcls INFO: [Train][Epoch 3/30][Iter: 190/1347]lr: 0.01713, CELoss: 3.60669, loss: 3.60669, batch_cost: 0.41256s, reader_cost: 0.03732, ips: 620.51451 images/sec, eta: 4:18:01 +[2022/05/18 18:06:14] ppcls INFO: [Train][Epoch 3/30][Iter: 200/1347]lr: 0.01719, CELoss: 3.60436, loss: 3.60436, batch_cost: 0.41182s, reader_cost: 0.03685, ips: 621.62826 images/sec, eta: 4:17:29 +[2022/05/18 18:06:18] ppcls INFO: [Train][Epoch 3/30][Iter: 210/1347]lr: 0.01725, CELoss: 3.59621, loss: 3.59621, batch_cost: 0.41163s, reader_cost: 0.03649, ips: 621.91794 images/sec, eta: 4:17:18 +[2022/05/18 18:06:22] ppcls INFO: [Train][Epoch 3/30][Iter: 220/1347]lr: 0.01731, CELoss: 3.59829, loss: 3.59829, batch_cost: 0.41046s, reader_cost: 0.03564, ips: 623.68377 images/sec, eta: 4:16:30 +[2022/05/18 18:06:26] ppcls INFO: [Train][Epoch 3/30][Iter: 230/1347]lr: 0.01737, CELoss: 3.59124, loss: 3.59124, batch_cost: 0.40983s, reader_cost: 0.03536, ips: 624.65050 images/sec, eta: 4:16:02 +[2022/05/18 18:06:30] ppcls INFO: [Train][Epoch 3/30][Iter: 240/1347]lr: 0.01743, CELoss: 3.58593, loss: 3.58593, batch_cost: 0.40957s, reader_cost: 0.03507, ips: 625.04557 images/sec, eta: 4:15:49 +[2022/05/18 18:06:34] ppcls INFO: [Train][Epoch 3/30][Iter: 250/1347]lr: 0.01749, CELoss: 3.58385, loss: 3.58385, batch_cost: 0.40862s, reader_cost: 0.03424, ips: 626.49551 images/sec, eta: 4:15:09 +[2022/05/18 18:06:37] ppcls INFO: [Train][Epoch 3/30][Iter: 260/1347]lr: 0.01755, CELoss: 3.58223, loss: 3.58223, batch_cost: 0.40778s, reader_cost: 0.03352, ips: 627.78245 images/sec, eta: 4:14:33 +[2022/05/18 18:06:41] ppcls INFO: [Train][Epoch 3/30][Iter: 270/1347]lr: 0.01761, CELoss: 3.57712, loss: 3.57712, batch_cost: 0.40684s, reader_cost: 0.03283, ips: 629.24239 images/sec, eta: 4:13:54 +[2022/05/18 18:06:46] ppcls INFO: [Train][Epoch 3/30][Iter: 280/1347]lr: 0.01767, CELoss: 3.57307, loss: 3.57307, batch_cost: 0.40758s, reader_cost: 0.03326, ips: 628.10304 images/sec, eta: 4:14:18 +[2022/05/18 18:06:50] ppcls INFO: [Train][Epoch 3/30][Iter: 290/1347]lr: 0.01773, CELoss: 3.56634, loss: 3.56634, batch_cost: 0.40961s, reader_cost: 0.03480, ips: 624.98647 images/sec, eta: 4:15:30 +[2022/05/18 18:06:55] ppcls INFO: [Train][Epoch 3/30][Iter: 300/1347]lr: 0.01779, CELoss: 3.56255, loss: 3.56255, batch_cost: 0.41152s, reader_cost: 0.03631, ips: 622.08855 images/sec, eta: 4:16:37 +[2022/05/18 18:06:59] ppcls INFO: [Train][Epoch 3/30][Iter: 310/1347]lr: 0.01785, CELoss: 3.56367, loss: 3.56367, batch_cost: 0.41212s, reader_cost: 0.03675, ips: 621.18224 images/sec, eta: 4:16:55 +[2022/05/18 18:07:03] ppcls INFO: [Train][Epoch 3/30][Iter: 320/1347]lr: 0.01791, CELoss: 3.56156, loss: 3.56156, batch_cost: 0.41205s, reader_cost: 0.03686, ips: 621.28329 images/sec, eta: 4:16:49 +[2022/05/18 18:07:07] ppcls INFO: [Train][Epoch 3/30][Iter: 330/1347]lr: 0.01797, CELoss: 3.55716, loss: 3.55716, batch_cost: 0.41120s, reader_cost: 0.03621, ips: 622.57347 images/sec, eta: 4:16:12 +[2022/05/18 18:07:11] ppcls INFO: [Train][Epoch 3/30][Iter: 340/1347]lr: 0.01803, CELoss: 3.55378, loss: 3.55378, batch_cost: 0.41144s, reader_cost: 0.03643, ips: 622.20057 images/sec, eta: 4:16:18 +[2022/05/18 18:07:15] ppcls INFO: [Train][Epoch 3/30][Iter: 350/1347]lr: 0.01808, CELoss: 3.54976, loss: 3.54976, batch_cost: 0.41141s, reader_cost: 0.03627, ips: 622.24836 images/sec, eta: 4:16:12 +[2022/05/18 18:07:20] ppcls INFO: [Train][Epoch 3/30][Iter: 360/1347]lr: 0.01814, CELoss: 3.54803, loss: 3.54803, batch_cost: 0.41176s, reader_cost: 0.03647, ips: 621.72877 images/sec, eta: 4:16:21 +[2022/05/18 18:07:24] ppcls INFO: [Train][Epoch 3/30][Iter: 370/1347]lr: 0.01820, CELoss: 3.54868, loss: 3.54868, batch_cost: 0.41143s, reader_cost: 0.03626, ips: 622.21486 images/sec, eta: 4:16:05 +[2022/05/18 18:07:28] ppcls INFO: [Train][Epoch 3/30][Iter: 380/1347]lr: 0.01826, CELoss: 3.54397, loss: 3.54397, batch_cost: 0.41095s, reader_cost: 0.03583, ips: 622.94990 images/sec, eta: 4:15:43 +[2022/05/18 18:07:31] ppcls INFO: [Train][Epoch 3/30][Iter: 390/1347]lr: 0.01832, CELoss: 3.54194, loss: 3.54194, batch_cost: 0.40987s, reader_cost: 0.03494, ips: 624.58170 images/sec, eta: 4:14:58 +[2022/05/18 18:07:35] ppcls INFO: [Train][Epoch 3/30][Iter: 400/1347]lr: 0.01838, CELoss: 3.53824, loss: 3.53824, batch_cost: 0.40951s, reader_cost: 0.03472, ips: 625.14437 images/sec, eta: 4:14:41 +[2022/05/18 18:07:39] ppcls INFO: [Train][Epoch 3/30][Iter: 410/1347]lr: 0.01844, CELoss: 3.53763, loss: 3.53763, batch_cost: 0.40904s, reader_cost: 0.03424, ips: 625.86135 images/sec, eta: 4:14:19 +[2022/05/18 18:07:43] ppcls INFO: [Train][Epoch 3/30][Iter: 420/1347]lr: 0.01850, CELoss: 3.53290, loss: 3.53290, batch_cost: 0.40923s, reader_cost: 0.03451, ips: 625.56119 images/sec, eta: 4:14:22 +[2022/05/18 18:07:47] ppcls INFO: [Train][Epoch 3/30][Iter: 430/1347]lr: 0.01856, CELoss: 3.52848, loss: 3.52848, batch_cost: 0.40860s, reader_cost: 0.03381, ips: 626.53086 images/sec, eta: 4:13:55 +[2022/05/18 18:07:51] ppcls INFO: [Train][Epoch 3/30][Iter: 440/1347]lr: 0.01862, CELoss: 3.52650, loss: 3.52650, batch_cost: 0.40839s, reader_cost: 0.03360, ips: 626.84828 images/sec, eta: 4:13:43 +[2022/05/18 18:07:55] ppcls INFO: [Train][Epoch 3/30][Iter: 450/1347]lr: 0.01868, CELoss: 3.52402, loss: 3.52402, batch_cost: 0.40778s, reader_cost: 0.03319, ips: 627.79711 images/sec, eta: 4:13:16 +[2022/05/18 18:07:59] ppcls INFO: [Train][Epoch 3/30][Iter: 460/1347]lr: 0.01874, CELoss: 3.52153, loss: 3.52153, batch_cost: 0.40864s, reader_cost: 0.03401, ips: 626.47406 images/sec, eta: 4:13:44 +[2022/05/18 18:08:04] ppcls INFO: [Train][Epoch 3/30][Iter: 470/1347]lr: 0.01880, CELoss: 3.51945, loss: 3.51945, batch_cost: 0.40931s, reader_cost: 0.03434, ips: 625.44798 images/sec, eta: 4:14:05 +[2022/05/18 18:08:09] ppcls INFO: [Train][Epoch 3/30][Iter: 480/1347]lr: 0.01886, CELoss: 3.51583, loss: 3.51583, batch_cost: 0.41062s, reader_cost: 0.03550, ips: 623.44597 images/sec, eta: 4:14:49 +[2022/05/18 18:08:13] ppcls INFO: [Train][Epoch 3/30][Iter: 490/1347]lr: 0.01892, CELoss: 3.51401, loss: 3.51401, batch_cost: 0.41089s, reader_cost: 0.03571, ips: 623.04128 images/sec, eta: 4:14:55 +[2022/05/18 18:08:17] ppcls INFO: [Train][Epoch 3/30][Iter: 500/1347]lr: 0.01898, CELoss: 3.50899, loss: 3.50899, batch_cost: 0.41067s, reader_cost: 0.03565, ips: 623.37673 images/sec, eta: 4:14:43 +[2022/05/18 18:08:21] ppcls INFO: [Train][Epoch 3/30][Iter: 510/1347]lr: 0.01903, CELoss: 3.50409, loss: 3.50409, batch_cost: 0.41085s, reader_cost: 0.03575, ips: 623.10074 images/sec, eta: 4:14:46 +[2022/05/18 18:08:25] ppcls INFO: [Train][Epoch 3/30][Iter: 520/1347]lr: 0.01909, CELoss: 3.50215, loss: 3.50215, batch_cost: 0.41111s, reader_cost: 0.03607, ips: 622.71023 images/sec, eta: 4:14:51 +[2022/05/18 18:08:29] ppcls INFO: [Train][Epoch 3/30][Iter: 530/1347]lr: 0.01915, CELoss: 3.49846, loss: 3.49846, batch_cost: 0.41100s, reader_cost: 0.03592, ips: 622.86522 images/sec, eta: 4:14:43 +[2022/05/18 18:08:33] ppcls INFO: [Train][Epoch 3/30][Iter: 540/1347]lr: 0.01921, CELoss: 3.49595, loss: 3.49595, batch_cost: 0.41068s, reader_cost: 0.03559, ips: 623.35005 images/sec, eta: 4:14:27 +[2022/05/18 18:08:37] ppcls INFO: [Train][Epoch 3/30][Iter: 550/1347]lr: 0.01927, CELoss: 3.49689, loss: 3.49689, batch_cost: 0.41000s, reader_cost: 0.03495, ips: 624.38594 images/sec, eta: 4:13:58 +[2022/05/18 18:08:41] ppcls INFO: [Train][Epoch 3/30][Iter: 560/1347]lr: 0.01933, CELoss: 3.49898, loss: 3.49898, batch_cost: 0.40974s, reader_cost: 0.03462, ips: 624.78983 images/sec, eta: 4:13:44 +[2022/05/18 18:08:45] ppcls INFO: [Train][Epoch 3/30][Iter: 570/1347]lr: 0.01939, CELoss: 3.49874, loss: 3.49874, batch_cost: 0.40912s, reader_cost: 0.03402, ips: 625.73027 images/sec, eta: 4:13:17 +[2022/05/18 18:08:49] ppcls INFO: [Train][Epoch 3/30][Iter: 580/1347]lr: 0.01945, CELoss: 3.49677, loss: 3.49677, batch_cost: 0.40886s, reader_cost: 0.03370, ips: 626.13765 images/sec, eta: 4:13:03 +[2022/05/18 18:08:52] ppcls INFO: [Train][Epoch 3/30][Iter: 590/1347]lr: 0.01951, CELoss: 3.49371, loss: 3.49371, batch_cost: 0.40833s, reader_cost: 0.03314, ips: 626.93844 images/sec, eta: 4:12:39 +[2022/05/18 18:08:57] ppcls INFO: [Train][Epoch 3/30][Iter: 600/1347]lr: 0.01957, CELoss: 3.48912, loss: 3.48912, batch_cost: 0.40860s, reader_cost: 0.03328, ips: 626.53154 images/sec, eta: 4:12:45 +[2022/05/18 18:09:01] ppcls INFO: [Train][Epoch 3/30][Iter: 610/1347]lr: 0.01963, CELoss: 3.48891, loss: 3.48891, batch_cost: 0.40823s, reader_cost: 0.03298, ips: 627.09157 images/sec, eta: 4:12:27 +[2022/05/18 18:09:05] ppcls INFO: [Train][Epoch 3/30][Iter: 620/1347]lr: 0.01969, CELoss: 3.48478, loss: 3.48478, batch_cost: 0.40816s, reader_cost: 0.03290, ips: 627.21019 images/sec, eta: 4:12:20 +[2022/05/18 18:09:08] ppcls INFO: [Train][Epoch 3/30][Iter: 630/1347]lr: 0.01975, CELoss: 3.48154, loss: 3.48154, batch_cost: 0.40780s, reader_cost: 0.03262, ips: 627.76522 images/sec, eta: 4:12:03 +[2022/05/18 18:09:13] ppcls INFO: [Train][Epoch 3/30][Iter: 640/1347]lr: 0.01981, CELoss: 3.47922, loss: 3.47922, batch_cost: 0.40853s, reader_cost: 0.03320, ips: 626.64232 images/sec, eta: 4:12:26 +[2022/05/18 18:09:17] ppcls INFO: [Train][Epoch 3/30][Iter: 650/1347]lr: 0.01987, CELoss: 3.47558, loss: 3.47558, batch_cost: 0.40917s, reader_cost: 0.03369, ips: 625.66343 images/sec, eta: 4:12:46 +[2022/05/18 18:09:22] ppcls INFO: [Train][Epoch 3/30][Iter: 660/1347]lr: 0.01993, CELoss: 3.47265, loss: 3.47265, batch_cost: 0.41028s, reader_cost: 0.03470, ips: 623.96684 images/sec, eta: 4:13:23 +[2022/05/18 18:09:27] ppcls INFO: [Train][Epoch 3/30][Iter: 670/1347]lr: 0.01999, CELoss: 3.46869, loss: 3.46869, batch_cost: 0.41124s, reader_cost: 0.03548, ips: 622.50959 images/sec, eta: 4:13:54 +[2022/05/18 18:09:31] ppcls INFO: [Train][Epoch 3/30][Iter: 680/1347]lr: 0.02004, CELoss: 3.46678, loss: 3.46678, batch_cost: 0.41127s, reader_cost: 0.03564, ips: 622.46177 images/sec, eta: 4:13:51 +[2022/05/18 18:09:35] ppcls INFO: [Train][Epoch 3/30][Iter: 690/1347]lr: 0.02010, CELoss: 3.46305, loss: 3.46305, batch_cost: 0.41110s, reader_cost: 0.03556, ips: 622.71976 images/sec, eta: 4:13:41 +[2022/05/18 18:09:39] ppcls INFO: [Train][Epoch 3/30][Iter: 700/1347]lr: 0.02016, CELoss: 3.46105, loss: 3.46105, batch_cost: 0.41066s, reader_cost: 0.03508, ips: 623.39165 images/sec, eta: 4:13:20 +[2022/05/18 18:09:43] ppcls INFO: [Train][Epoch 3/30][Iter: 710/1347]lr: 0.02022, CELoss: 3.45780, loss: 3.45780, batch_cost: 0.41027s, reader_cost: 0.03476, ips: 623.98248 images/sec, eta: 4:13:02 +[2022/05/18 18:09:47] ppcls INFO: [Train][Epoch 3/30][Iter: 720/1347]lr: 0.02028, CELoss: 3.45476, loss: 3.45476, batch_cost: 0.41021s, reader_cost: 0.03469, ips: 624.06931 images/sec, eta: 4:12:56 +[2022/05/18 18:09:51] ppcls INFO: [Train][Epoch 3/30][Iter: 730/1347]lr: 0.02034, CELoss: 3.45271, loss: 3.45271, batch_cost: 0.41009s, reader_cost: 0.03459, ips: 624.25895 images/sec, eta: 4:12:47 +[2022/05/18 18:09:55] ppcls INFO: [Train][Epoch 3/30][Iter: 740/1347]lr: 0.02040, CELoss: 3.45019, loss: 3.45019, batch_cost: 0.40963s, reader_cost: 0.03415, ips: 624.94669 images/sec, eta: 4:12:26 +[2022/05/18 18:09:59] ppcls INFO: [Train][Epoch 3/30][Iter: 750/1347]lr: 0.02046, CELoss: 3.44944, loss: 3.44944, batch_cost: 0.40967s, reader_cost: 0.03417, ips: 624.88745 images/sec, eta: 4:12:24 +[2022/05/18 18:10:03] ppcls INFO: [Train][Epoch 3/30][Iter: 760/1347]lr: 0.02052, CELoss: 3.44540, loss: 3.44540, batch_cost: 0.40972s, reader_cost: 0.03426, ips: 624.81368 images/sec, eta: 4:12:21 +[2022/05/18 18:10:07] ppcls INFO: [Train][Epoch 3/30][Iter: 770/1347]lr: 0.02058, CELoss: 3.44339, loss: 3.44339, batch_cost: 0.40946s, reader_cost: 0.03400, ips: 625.21031 images/sec, eta: 4:12:07 +[2022/05/18 18:10:11] ppcls INFO: [Train][Epoch 3/30][Iter: 780/1347]lr: 0.02064, CELoss: 3.44098, loss: 3.44098, batch_cost: 0.40929s, reader_cost: 0.03394, ips: 625.47319 images/sec, eta: 4:11:57 +[2022/05/18 18:10:15] ppcls INFO: [Train][Epoch 3/30][Iter: 790/1347]lr: 0.02070, CELoss: 3.44075, loss: 3.44075, batch_cost: 0.40897s, reader_cost: 0.03370, ips: 625.96006 images/sec, eta: 4:11:41 +[2022/05/18 18:10:19] ppcls INFO: [Train][Epoch 3/30][Iter: 800/1347]lr: 0.02076, CELoss: 3.43630, loss: 3.43630, batch_cost: 0.40878s, reader_cost: 0.03348, ips: 626.25833 images/sec, eta: 4:11:30 +[2022/05/18 18:10:23] ppcls INFO: [Train][Epoch 3/30][Iter: 810/1347]lr: 0.02082, CELoss: 3.43456, loss: 3.43456, batch_cost: 0.40866s, reader_cost: 0.03348, ips: 626.43758 images/sec, eta: 4:11:22 +[2022/05/18 18:10:27] ppcls INFO: [Train][Epoch 3/30][Iter: 820/1347]lr: 0.02088, CELoss: 3.43353, loss: 3.43353, batch_cost: 0.40871s, reader_cost: 0.03328, ips: 626.36294 images/sec, eta: 4:11:19 +[2022/05/18 18:10:32] ppcls INFO: [Train][Epoch 3/30][Iter: 830/1347]lr: 0.02094, CELoss: 3.43248, loss: 3.43248, batch_cost: 0.40966s, reader_cost: 0.03398, ips: 624.90224 images/sec, eta: 4:11:50 +[2022/05/18 18:10:37] ppcls INFO: [Train][Epoch 3/30][Iter: 840/1347]lr: 0.02099, CELoss: 3.43077, loss: 3.43077, batch_cost: 0.41110s, reader_cost: 0.03529, ips: 622.71390 images/sec, eta: 4:12:39 +[2022/05/18 18:10:41] ppcls INFO: [Train][Epoch 3/30][Iter: 850/1347]lr: 0.02105, CELoss: 3.43059, loss: 3.43059, batch_cost: 0.41076s, reader_cost: 0.03506, ips: 623.22834 images/sec, eta: 4:12:23 +[2022/05/18 18:10:44] ppcls INFO: [Train][Epoch 3/30][Iter: 860/1347]lr: 0.02111, CELoss: 3.42845, loss: 3.42845, batch_cost: 0.41034s, reader_cost: 0.03466, ips: 623.87280 images/sec, eta: 4:12:03 +[2022/05/18 18:10:48] ppcls INFO: [Train][Epoch 3/30][Iter: 870/1347]lr: 0.02117, CELoss: 3.42571, loss: 3.42571, batch_cost: 0.40997s, reader_cost: 0.03430, ips: 624.43024 images/sec, eta: 4:11:45 +[2022/05/18 18:10:52] ppcls INFO: [Train][Epoch 3/30][Iter: 880/1347]lr: 0.02123, CELoss: 3.42398, loss: 3.42398, batch_cost: 0.40968s, reader_cost: 0.03406, ips: 624.87814 images/sec, eta: 4:11:30 +[2022/05/18 18:10:56] ppcls INFO: [Train][Epoch 3/30][Iter: 890/1347]lr: 0.02129, CELoss: 3.42376, loss: 3.42376, batch_cost: 0.40938s, reader_cost: 0.03385, ips: 625.33804 images/sec, eta: 4:11:15 +[2022/05/18 18:11:00] ppcls INFO: [Train][Epoch 3/30][Iter: 900/1347]lr: 0.02135, CELoss: 3.42057, loss: 3.42057, batch_cost: 0.40953s, reader_cost: 0.03399, ips: 625.11310 images/sec, eta: 4:11:17 +[2022/05/18 18:11:04] ppcls INFO: [Train][Epoch 3/30][Iter: 910/1347]lr: 0.02141, CELoss: 3.41928, loss: 3.41928, batch_cost: 0.40950s, reader_cost: 0.03395, ips: 625.15943 images/sec, eta: 4:11:11 +[2022/05/18 18:11:08] ppcls INFO: [Train][Epoch 3/30][Iter: 920/1347]lr: 0.02147, CELoss: 3.41501, loss: 3.41501, batch_cost: 0.40936s, reader_cost: 0.03385, ips: 625.36157 images/sec, eta: 4:11:02 +[2022/05/18 18:11:12] ppcls INFO: [Train][Epoch 3/30][Iter: 930/1347]lr: 0.02153, CELoss: 3.41215, loss: 3.41215, batch_cost: 0.40926s, reader_cost: 0.03378, ips: 625.51786 images/sec, eta: 4:10:55 +[2022/05/18 18:11:16] ppcls INFO: [Train][Epoch 3/30][Iter: 940/1347]lr: 0.02159, CELoss: 3.41142, loss: 3.41142, batch_cost: 0.40922s, reader_cost: 0.03376, ips: 625.57346 images/sec, eta: 4:10:49 +[2022/05/18 18:11:20] ppcls INFO: [Train][Epoch 3/30][Iter: 950/1347]lr: 0.02165, CELoss: 3.40854, loss: 3.40854, batch_cost: 0.40899s, reader_cost: 0.03356, ips: 625.93283 images/sec, eta: 4:10:36 +[2022/05/18 18:11:24] ppcls INFO: [Train][Epoch 3/30][Iter: 960/1347]lr: 0.02171, CELoss: 3.40501, loss: 3.40501, batch_cost: 0.40889s, reader_cost: 0.03351, ips: 626.09104 images/sec, eta: 4:10:29 +[2022/05/18 18:11:28] ppcls INFO: [Train][Epoch 3/30][Iter: 970/1347]lr: 0.02177, CELoss: 3.40275, loss: 3.40275, batch_cost: 0.40866s, reader_cost: 0.03333, ips: 626.43525 images/sec, eta: 4:10:16 +[2022/05/18 18:11:32] ppcls INFO: [Train][Epoch 3/30][Iter: 980/1347]lr: 0.02183, CELoss: 3.39896, loss: 3.39896, batch_cost: 0.40858s, reader_cost: 0.03319, ips: 626.56485 images/sec, eta: 4:10:09 +[2022/05/18 18:11:36] ppcls INFO: [Train][Epoch 3/30][Iter: 990/1347]lr: 0.02189, CELoss: 3.39646, loss: 3.39646, batch_cost: 0.40845s, reader_cost: 0.03304, ips: 626.76430 images/sec, eta: 4:10:00 +[2022/05/18 18:11:41] ppcls INFO: [Train][Epoch 3/30][Iter: 1000/1347]lr: 0.02195, CELoss: 3.39464, loss: 3.39464, batch_cost: 0.40931s, reader_cost: 0.03364, ips: 625.44905 images/sec, eta: 4:10:28 +[2022/05/18 18:11:45] ppcls INFO: [Train][Epoch 3/30][Iter: 1010/1347]lr: 0.02200, CELoss: 3.39350, loss: 3.39350, batch_cost: 0.40957s, reader_cost: 0.03384, ips: 625.04626 images/sec, eta: 4:10:33 +[2022/05/18 18:11:50] ppcls INFO: [Train][Epoch 3/30][Iter: 1020/1347]lr: 0.02206, CELoss: 3.39195, loss: 3.39195, batch_cost: 0.41011s, reader_cost: 0.03419, ips: 624.22779 images/sec, eta: 4:10:49 +[2022/05/18 18:11:54] ppcls INFO: [Train][Epoch 3/30][Iter: 1030/1347]lr: 0.02212, CELoss: 3.38979, loss: 3.38979, batch_cost: 0.40994s, reader_cost: 0.03415, ips: 624.48229 images/sec, eta: 4:10:39 +[2022/05/18 18:11:58] ppcls INFO: [Train][Epoch 3/30][Iter: 1040/1347]lr: 0.02218, CELoss: 3.38905, loss: 3.38905, batch_cost: 0.40970s, reader_cost: 0.03393, ips: 624.84101 images/sec, eta: 4:10:26 +[2022/05/18 18:12:01] ppcls INFO: [Train][Epoch 3/30][Iter: 1050/1347]lr: 0.02224, CELoss: 3.38562, loss: 3.38562, batch_cost: 0.40942s, reader_cost: 0.03371, ips: 625.28045 images/sec, eta: 4:10:11 +[2022/05/18 18:12:06] ppcls INFO: [Train][Epoch 3/30][Iter: 1060/1347]lr: 0.02230, CELoss: 3.38291, loss: 3.38291, batch_cost: 0.40936s, reader_cost: 0.03359, ips: 625.36252 images/sec, eta: 4:10:05 +[2022/05/18 18:12:10] ppcls INFO: [Train][Epoch 3/30][Iter: 1070/1347]lr: 0.02236, CELoss: 3.38094, loss: 3.38094, batch_cost: 0.40924s, reader_cost: 0.03347, ips: 625.54297 images/sec, eta: 4:09:57 +[2022/05/18 18:12:14] ppcls INFO: [Train][Epoch 3/30][Iter: 1080/1347]lr: 0.02242, CELoss: 3.37966, loss: 3.37966, batch_cost: 0.40921s, reader_cost: 0.03343, ips: 625.59716 images/sec, eta: 4:09:51 +[2022/05/18 18:12:17] ppcls INFO: [Train][Epoch 3/30][Iter: 1090/1347]lr: 0.02248, CELoss: 3.37730, loss: 3.37730, batch_cost: 0.40898s, reader_cost: 0.03324, ips: 625.94944 images/sec, eta: 4:09:39 +[2022/05/18 18:12:21] ppcls INFO: [Train][Epoch 3/30][Iter: 1100/1347]lr: 0.02254, CELoss: 3.37446, loss: 3.37446, batch_cost: 0.40887s, reader_cost: 0.03309, ips: 626.11435 images/sec, eta: 4:09:31 +[2022/05/18 18:12:25] ppcls INFO: [Train][Epoch 3/30][Iter: 1110/1347]lr: 0.02260, CELoss: 3.37164, loss: 3.37164, batch_cost: 0.40870s, reader_cost: 0.03289, ips: 626.37904 images/sec, eta: 4:09:20 +[2022/05/18 18:12:29] ppcls INFO: [Train][Epoch 3/30][Iter: 1120/1347]lr: 0.02266, CELoss: 3.36933, loss: 3.36933, batch_cost: 0.40862s, reader_cost: 0.03284, ips: 626.49946 images/sec, eta: 4:09:13 +[2022/05/18 18:12:33] ppcls INFO: [Train][Epoch 3/30][Iter: 1130/1347]lr: 0.02272, CELoss: 3.36611, loss: 3.36611, batch_cost: 0.40863s, reader_cost: 0.03288, ips: 626.48273 images/sec, eta: 4:09:10 +[2022/05/18 18:12:37] ppcls INFO: [Train][Epoch 3/30][Iter: 1140/1347]lr: 0.02278, CELoss: 3.36444, loss: 3.36444, batch_cost: 0.40855s, reader_cost: 0.03279, ips: 626.59886 images/sec, eta: 4:09:03 +[2022/05/18 18:12:41] ppcls INFO: [Train][Epoch 3/30][Iter: 1150/1347]lr: 0.02284, CELoss: 3.36241, loss: 3.36241, batch_cost: 0.40854s, reader_cost: 0.03284, ips: 626.62595 images/sec, eta: 4:08:58 +[2022/05/18 18:12:46] ppcls INFO: [Train][Epoch 3/30][Iter: 1160/1347]lr: 0.02290, CELoss: 3.36020, loss: 3.36020, batch_cost: 0.40867s, reader_cost: 0.03298, ips: 626.42907 images/sec, eta: 4:08:59 +[2022/05/18 18:12:50] ppcls INFO: [Train][Epoch 3/30][Iter: 1170/1347]lr: 0.02295, CELoss: 3.35761, loss: 3.35761, batch_cost: 0.40885s, reader_cost: 0.03320, ips: 626.14399 images/sec, eta: 4:09:01 +[2022/05/18 18:12:55] ppcls INFO: [Train][Epoch 3/30][Iter: 1180/1347]lr: 0.02301, CELoss: 3.35606, loss: 3.35606, batch_cost: 0.40941s, reader_cost: 0.03360, ips: 625.29495 images/sec, eta: 4:09:18 +[2022/05/18 18:13:00] ppcls INFO: [Train][Epoch 3/30][Iter: 1190/1347]lr: 0.02307, CELoss: 3.35360, loss: 3.35360, batch_cost: 0.41010s, reader_cost: 0.03408, ips: 624.23061 images/sec, eta: 4:09:39 +[2022/05/18 18:13:04] ppcls INFO: [Train][Epoch 3/30][Iter: 1200/1347]lr: 0.02313, CELoss: 3.35212, loss: 3.35212, batch_cost: 0.41044s, reader_cost: 0.03436, ips: 623.71632 images/sec, eta: 4:09:47 +[2022/05/18 18:13:08] ppcls INFO: [Train][Epoch 3/30][Iter: 1210/1347]lr: 0.02319, CELoss: 3.34923, loss: 3.34923, batch_cost: 0.41047s, reader_cost: 0.03440, ips: 623.68158 images/sec, eta: 4:09:44 +[2022/05/18 18:13:12] ppcls INFO: [Train][Epoch 3/30][Iter: 1220/1347]lr: 0.02325, CELoss: 3.34715, loss: 3.34715, batch_cost: 0.41040s, reader_cost: 0.03436, ips: 623.77636 images/sec, eta: 4:09:38 +[2022/05/18 18:13:16] ppcls INFO: [Train][Epoch 3/30][Iter: 1230/1347]lr: 0.02331, CELoss: 3.34585, loss: 3.34585, batch_cost: 0.41021s, reader_cost: 0.03420, ips: 624.06610 images/sec, eta: 4:09:27 +[2022/05/18 18:13:20] ppcls INFO: [Train][Epoch 3/30][Iter: 1240/1347]lr: 0.02337, CELoss: 3.34371, loss: 3.34371, batch_cost: 0.40999s, reader_cost: 0.03407, ips: 624.40174 images/sec, eta: 4:09:14 +[2022/05/18 18:13:24] ppcls INFO: [Train][Epoch 3/30][Iter: 1250/1347]lr: 0.02343, CELoss: 3.34195, loss: 3.34195, 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+[2022/05/18 18:15:09] ppcls INFO: query feature calculation process: [230/617] +[2022/05/18 18:15:10] ppcls INFO: query feature calculation process: [240/617] +[2022/05/18 18:15:11] ppcls INFO: query feature calculation process: [250/617] +[2022/05/18 18:15:11] ppcls INFO: query feature calculation process: [260/617] +[2022/05/18 18:15:12] ppcls INFO: query feature calculation process: [270/617] +[2022/05/18 18:15:13] ppcls INFO: query feature calculation process: [280/617] +[2022/05/18 18:15:14] ppcls INFO: query feature calculation process: [290/617] +[2022/05/18 18:15:14] ppcls INFO: query feature calculation process: [300/617] +[2022/05/18 18:15:15] ppcls INFO: query feature calculation process: [310/617] +[2022/05/18 18:15:16] ppcls INFO: query feature calculation process: [320/617] +[2022/05/18 18:15:17] ppcls INFO: query feature calculation process: [330/617] +[2022/05/18 18:15:18] ppcls INFO: query feature calculation process: [340/617] +[2022/05/18 18:15:19] ppcls INFO: query feature calculation process: [350/617] +[2022/05/18 18:15:20] ppcls INFO: query feature calculation process: [360/617] +[2022/05/18 18:15:21] ppcls INFO: query feature calculation process: [370/617] +[2022/05/18 18:15:22] ppcls INFO: query feature calculation process: [380/617] +[2022/05/18 18:15:23] ppcls INFO: query feature calculation process: [390/617] +[2022/05/18 18:15:23] ppcls INFO: query feature calculation process: [400/617] +[2022/05/18 18:15:24] ppcls INFO: query feature calculation process: [410/617] +[2022/05/18 18:15:25] ppcls INFO: query feature calculation process: [420/617] +[2022/05/18 18:15:26] ppcls INFO: query feature calculation process: [430/617] +[2022/05/18 18:15:27] ppcls INFO: query feature calculation process: [440/617] +[2022/05/18 18:15:28] ppcls INFO: query feature calculation process: [450/617] +[2022/05/18 18:15:29] ppcls INFO: query feature calculation process: [460/617] +[2022/05/18 18:15:30] ppcls INFO: query feature calculation process: [470/617] +[2022/05/18 18:15:30] ppcls INFO: query feature calculation process: [480/617] +[2022/05/18 18:15:31] ppcls INFO: query feature calculation process: [490/617] +[2022/05/18 18:15:32] ppcls INFO: query feature calculation process: [500/617] +[2022/05/18 18:15:33] ppcls INFO: query feature calculation process: [510/617] +[2022/05/18 18:15:33] ppcls INFO: query feature calculation process: [520/617] +[2022/05/18 18:15:34] ppcls INFO: query feature calculation process: [530/617] +[2022/05/18 18:15:35] ppcls INFO: query feature calculation process: [540/617] +[2022/05/18 18:15:36] ppcls INFO: query feature calculation process: [550/617] +[2022/05/18 18:15:36] ppcls INFO: query feature calculation process: [560/617] +[2022/05/18 18:15:37] ppcls INFO: query feature calculation process: [570/617] +[2022/05/18 18:15:38] ppcls INFO: query feature calculation process: [580/617] +[2022/05/18 18:15:39] ppcls INFO: query feature calculation process: [590/617] +[2022/05/18 18:15:39] ppcls INFO: query feature calculation process: [600/617] +[2022/05/18 18:15:40] ppcls INFO: query feature calculation process: [610/617] +[2022/05/18 18:15:41] ppcls INFO: Build query done, all feat shape: [39457, 1280], begin to eval.. +[2022/05/18 18:15:43] ppcls INFO: [Eval][Epoch 3][Avg]recall1: 0.91768, recall5: 0.96084 +[2022/05/18 18:15:43] ppcls INFO: Already save model in ./output/RecModel/best_model +[2022/05/18 18:15:43] ppcls INFO: [Eval][Epoch 3][best metric: 0.9176802770151932] +[2022/05/18 18:15:44] ppcls INFO: Already save model in ./output/RecModel/epoch_3 +[2022/05/18 18:15:44] ppcls INFO: Already save model in ./output/RecModel/latest +[2022/05/18 18:15:47] ppcls INFO: [Train][Epoch 4/30][Iter: 0/1347]lr: 0.02401, CELoss: 2.98656, loss: 2.98656, batch_cost: 0.40998s, reader_cost: 0.03434, ips: 624.42656 images/sec, eta: 4:08:30 +[2022/05/18 18:15:51] ppcls INFO: [Train][Epoch 4/30][Iter: 10/1347]lr: 0.02407, CELoss: 2.95775, loss: 2.95775, batch_cost: 0.39027s, reader_cost: 0.02129, ips: 655.95774 images/sec, eta: 3:56:29 +[2022/05/18 18:15:55] ppcls INFO: [Train][Epoch 4/30][Iter: 20/1347]lr: 0.02412, CELoss: 2.95785, loss: 2.95785, batch_cost: 0.40427s, reader_cost: 0.03356, ips: 633.23380 images/sec, eta: 4:04:54 +[2022/05/18 18:15:59] ppcls INFO: [Train][Epoch 4/30][Iter: 30/1347]lr: 0.02418, CELoss: 2.94835, loss: 2.94835, batch_cost: 0.40153s, reader_cost: 0.03184, ips: 637.55575 images/sec, eta: 4:03:11 +[2022/05/18 18:16:03] ppcls INFO: [Train][Epoch 4/30][Iter: 40/1347]lr: 0.02424, CELoss: 2.93249, loss: 2.93249, batch_cost: 0.40758s, reader_cost: 0.03596, ips: 628.10441 images/sec, eta: 4:06:46 +[2022/05/18 18:16:07] ppcls INFO: [Train][Epoch 4/30][Iter: 50/1347]lr: 0.02430, CELoss: 2.94900, loss: 2.94900, batch_cost: 0.40905s, reader_cost: 0.03608, ips: 625.83427 images/sec, eta: 4:07:36 +[2022/05/18 18:16:11] ppcls INFO: [Train][Epoch 4/30][Iter: 60/1347]lr: 0.02436, CELoss: 2.93538, loss: 2.93538, batch_cost: 0.40886s, reader_cost: 0.03632, ips: 626.12472 images/sec, eta: 4:07:25 +[2022/05/18 18:16:15] ppcls INFO: [Train][Epoch 4/30][Iter: 70/1347]lr: 0.02442, CELoss: 2.94859, loss: 2.94859, batch_cost: 0.40510s, reader_cost: 0.03317, ips: 631.93962 images/sec, eta: 4:05:04 +[2022/05/18 18:16:19] ppcls INFO: [Train][Epoch 4/30][Iter: 80/1347]lr: 0.02448, CELoss: 2.95623, loss: 2.95623, batch_cost: 0.40574s, reader_cost: 0.03240, ips: 630.93928 images/sec, eta: 4:05:24 +[2022/05/18 18:16:23] ppcls INFO: [Train][Epoch 4/30][Iter: 90/1347]lr: 0.02454, CELoss: 2.94165, loss: 2.94165, batch_cost: 0.40507s, reader_cost: 0.03196, ips: 631.99633 images/sec, eta: 4:04:55 +[2022/05/18 18:16:27] ppcls INFO: [Train][Epoch 4/30][Iter: 100/1347]lr: 0.02460, CELoss: 2.93422, loss: 2.93422, batch_cost: 0.40275s, reader_cost: 0.03020, ips: 635.62614 images/sec, eta: 4:03:27 +[2022/05/18 18:16:31] ppcls INFO: [Train][Epoch 4/30][Iter: 110/1347]lr: 0.02466, CELoss: 2.92513, loss: 2.92513, batch_cost: 0.40315s, reader_cost: 0.03007, ips: 635.00606 images/sec, eta: 4:03:37 +[2022/05/18 18:16:36] ppcls INFO: [Train][Epoch 4/30][Iter: 120/1347]lr: 0.02472, CELoss: 2.93420, loss: 2.93420, batch_cost: 0.40802s, reader_cost: 0.03331, ips: 627.42546 images/sec, eta: 4:06:30 +[2022/05/18 18:16:40] ppcls INFO: [Train][Epoch 4/30][Iter: 130/1347]lr: 0.02478, CELoss: 2.94396, loss: 2.94396, batch_cost: 0.41137s, reader_cost: 0.03518, ips: 622.31556 images/sec, eta: 4:08:27 +[2022/05/18 18:16:45] ppcls INFO: [Train][Epoch 4/30][Iter: 140/1347]lr: 0.02484, CELoss: 2.95267, loss: 2.95267, batch_cost: 0.41368s, reader_cost: 0.03714, ips: 618.83298 images/sec, eta: 4:09:47 +[2022/05/18 18:16:48] ppcls INFO: [Train][Epoch 4/30][Iter: 150/1347]lr: 0.02490, CELoss: 2.95717, loss: 2.95717, batch_cost: 0.41159s, reader_cost: 0.03569, ips: 621.97346 images/sec, eta: 4:08:27 +[2022/05/18 18:16:53] ppcls INFO: [Train][Epoch 4/30][Iter: 160/1347]lr: 0.02496, CELoss: 2.96564, loss: 2.96564, batch_cost: 0.41211s, reader_cost: 0.03586, ips: 621.19895 images/sec, eta: 4:08:41 +[2022/05/18 18:16:56] ppcls INFO: [Train][Epoch 4/30][Iter: 170/1347]lr: 0.02502, CELoss: 2.96676, loss: 2.96676, batch_cost: 0.41044s, reader_cost: 0.03449, ips: 623.72219 images/sec, eta: 4:07:37 +[2022/05/18 18:17:00] ppcls INFO: [Train][Epoch 4/30][Iter: 180/1347]lr: 0.02507, CELoss: 2.96335, loss: 2.96335, batch_cost: 0.40982s, reader_cost: 0.03401, ips: 624.65693 images/sec, eta: 4:07:11 +[2022/05/18 18:17:04] ppcls INFO: [Train][Epoch 4/30][Iter: 190/1347]lr: 0.02513, CELoss: 2.97327, loss: 2.97327, batch_cost: 0.40876s, reader_cost: 0.03295, ips: 626.29143 images/sec, eta: 4:06:28 +[2022/05/18 18:17:08] ppcls INFO: [Train][Epoch 4/30][Iter: 200/1347]lr: 0.02519, CELoss: 2.97443, loss: 2.97443, batch_cost: 0.40831s, reader_cost: 0.03288, ips: 626.98156 images/sec, eta: 4:06:08 +[2022/05/18 18:17:13] ppcls INFO: [Train][Epoch 4/30][Iter: 210/1347]lr: 0.02525, CELoss: 2.98029, loss: 2.98029, batch_cost: 0.40949s, reader_cost: 0.03361, ips: 625.16803 images/sec, eta: 4:06:46 +[2022/05/18 18:17:17] ppcls INFO: [Train][Epoch 4/30][Iter: 220/1347]lr: 0.02531, CELoss: 2.98341, loss: 2.98341, batch_cost: 0.40903s, reader_cost: 0.03338, ips: 625.86643 images/sec, eta: 4:06:26 +[2022/05/18 18:17:21] ppcls INFO: [Train][Epoch 4/30][Iter: 230/1347]lr: 0.02537, CELoss: 2.98334, loss: 2.98334, batch_cost: 0.40896s, reader_cost: 0.03340, ips: 625.98215 images/sec, eta: 4:06:19 +[2022/05/18 18:17:25] ppcls INFO: [Train][Epoch 4/30][Iter: 240/1347]lr: 0.02543, CELoss: 2.98142, loss: 2.98142, batch_cost: 0.40870s, reader_cost: 0.03330, ips: 626.37942 images/sec, eta: 4:06:05 +[2022/05/18 18:17:29] ppcls INFO: [Train][Epoch 4/30][Iter: 250/1347]lr: 0.02549, CELoss: 2.97952, loss: 2.97952, batch_cost: 0.40823s, reader_cost: 0.03321, ips: 627.10099 images/sec, eta: 4:05:44 +[2022/05/18 18:17:33] ppcls INFO: [Train][Epoch 4/30][Iter: 260/1347]lr: 0.02555, CELoss: 2.97773, loss: 2.97773, batch_cost: 0.40816s, reader_cost: 0.03334, ips: 627.20530 images/sec, eta: 4:05:38 +[2022/05/18 18:17:37] ppcls INFO: [Train][Epoch 4/30][Iter: 270/1347]lr: 0.02561, CELoss: 2.97482, loss: 2.97482, batch_cost: 0.40797s, reader_cost: 0.03317, ips: 627.49049 images/sec, eta: 4:05:27 +[2022/05/18 18:17:41] ppcls INFO: [Train][Epoch 4/30][Iter: 280/1347]lr: 0.02567, CELoss: 2.97233, loss: 2.97233, batch_cost: 0.40705s, reader_cost: 0.03257, ips: 628.91942 images/sec, eta: 4:04:49 +[2022/05/18 18:17:45] ppcls INFO: [Train][Epoch 4/30][Iter: 290/1347]lr: 0.02573, CELoss: 2.96749, loss: 2.96749, batch_cost: 0.40748s, reader_cost: 0.03310, ips: 628.24505 images/sec, eta: 4:05:01 +[2022/05/18 18:17:49] ppcls INFO: [Train][Epoch 4/30][Iter: 300/1347]lr: 0.02579, CELoss: 2.96467, loss: 2.96467, batch_cost: 0.40841s, reader_cost: 0.03353, ips: 626.82210 images/sec, eta: 4:05:30 +[2022/05/18 18:17:54] ppcls INFO: [Train][Epoch 4/30][Iter: 310/1347]lr: 0.02585, CELoss: 2.96499, loss: 2.96499, batch_cost: 0.41104s, reader_cost: 0.03536, ips: 622.81401 images/sec, eta: 4:07:01 +[2022/05/18 18:17:58] ppcls INFO: [Train][Epoch 4/30][Iter: 320/1347]lr: 0.02591, CELoss: 2.95973, loss: 2.95973, batch_cost: 0.41179s, reader_cost: 0.03595, ips: 621.67975 images/sec, eta: 4:07:24 +[2022/05/18 18:18:02] ppcls INFO: [Train][Epoch 4/30][Iter: 330/1347]lr: 0.02597, CELoss: 2.96215, loss: 2.96215, batch_cost: 0.41141s, reader_cost: 0.03568, ips: 622.25497 images/sec, eta: 4:07:06 +[2022/05/18 18:18:06] ppcls INFO: [Train][Epoch 4/30][Iter: 340/1347]lr: 0.02603, CELoss: 2.95802, loss: 2.95802, batch_cost: 0.41064s, reader_cost: 0.03508, ips: 623.41568 images/sec, eta: 4:06:34 +[2022/05/18 18:18:10] ppcls INFO: [Train][Epoch 4/30][Iter: 350/1347]lr: 0.02608, CELoss: 2.95613, loss: 2.95613, batch_cost: 0.40995s, reader_cost: 0.03452, ips: 624.46152 images/sec, eta: 4:06:06 +[2022/05/18 18:18:14] ppcls INFO: [Train][Epoch 4/30][Iter: 360/1347]lr: 0.02614, CELoss: 2.95562, loss: 2.95562, batch_cost: 0.40922s, reader_cost: 0.03398, ips: 625.58774 images/sec, eta: 4:05:35 +[2022/05/18 18:18:18] ppcls INFO: [Train][Epoch 4/30][Iter: 370/1347]lr: 0.02620, CELoss: 2.95178, loss: 2.95178, batch_cost: 0.41042s, reader_cost: 0.03468, ips: 623.74841 images/sec, eta: 4:06:14 +[2022/05/18 18:18:23] ppcls INFO: [Train][Epoch 4/30][Iter: 380/1347]lr: 0.02626, CELoss: 2.95166, loss: 2.95166, batch_cost: 0.41032s, reader_cost: 0.03463, ips: 623.89927 images/sec, eta: 4:06:07 +[2022/05/18 18:18:27] ppcls INFO: [Train][Epoch 4/30][Iter: 390/1347]lr: 0.02632, CELoss: 2.94781, loss: 2.94781, batch_cost: 0.41040s, reader_cost: 0.03445, ips: 623.77881 images/sec, eta: 4:06:05 +[2022/05/18 18:18:31] ppcls INFO: [Train][Epoch 4/30][Iter: 400/1347]lr: 0.02638, CELoss: 2.94661, loss: 2.94661, batch_cost: 0.41004s, reader_cost: 0.03429, ips: 624.32281 images/sec, eta: 4:05:48 +[2022/05/18 18:18:35] ppcls INFO: [Train][Epoch 4/30][Iter: 410/1347]lr: 0.02644, CELoss: 2.94341, loss: 2.94341, batch_cost: 0.40963s, reader_cost: 0.03390, ips: 624.94827 images/sec, eta: 4:05:30 +[2022/05/18 18:18:39] ppcls INFO: [Train][Epoch 4/30][Iter: 420/1347]lr: 0.02650, CELoss: 2.94310, loss: 2.94310, batch_cost: 0.40930s, reader_cost: 0.03380, ips: 625.46177 images/sec, eta: 4:05:13 +[2022/05/18 18:18:42] ppcls INFO: [Train][Epoch 4/30][Iter: 430/1347]lr: 0.02656, CELoss: 2.94210, loss: 2.94210, batch_cost: 0.40889s, reader_cost: 0.03336, ips: 626.08900 images/sec, eta: 4:04:55 +[2022/05/18 18:18:46] ppcls INFO: [Train][Epoch 4/30][Iter: 440/1347]lr: 0.02662, CELoss: 2.94193, loss: 2.94193, batch_cost: 0.40834s, reader_cost: 0.03304, ips: 626.93565 images/sec, eta: 4:04:31 +[2022/05/18 18:18:50] ppcls INFO: [Train][Epoch 4/30][Iter: 450/1347]lr: 0.02668, CELoss: 2.93888, loss: 2.93888, batch_cost: 0.40810s, reader_cost: 0.03306, ips: 627.30172 images/sec, eta: 4:04:18 +[2022/05/18 18:18:54] ppcls INFO: [Train][Epoch 4/30][Iter: 460/1347]lr: 0.02674, CELoss: 2.93946, loss: 2.93946, batch_cost: 0.40804s, reader_cost: 0.03305, ips: 627.39450 images/sec, eta: 4:04:12 +[2022/05/18 18:18:58] ppcls INFO: [Train][Epoch 4/30][Iter: 470/1347]lr: 0.02680, CELoss: 2.93640, loss: 2.93640, batch_cost: 0.40808s, reader_cost: 0.03289, ips: 627.33181 images/sec, eta: 4:04:09 +[2022/05/18 18:19:03] ppcls INFO: [Train][Epoch 4/30][Iter: 480/1347]lr: 0.02686, CELoss: 2.93447, loss: 2.93447, batch_cost: 0.40842s, reader_cost: 0.03305, ips: 626.81301 images/sec, eta: 4:04:17 +[2022/05/18 18:19:07] ppcls INFO: [Train][Epoch 4/30][Iter: 490/1347]lr: 0.02692, CELoss: 2.93505, loss: 2.93505, batch_cost: 0.40989s, reader_cost: 0.03426, ips: 624.56025 images/sec, eta: 4:05:06 +[2022/05/18 18:19:12] ppcls INFO: [Train][Epoch 4/30][Iter: 500/1347]lr: 0.02698, CELoss: 2.93320, loss: 2.93320, batch_cost: 0.41090s, reader_cost: 0.03514, ips: 623.03007 images/sec, eta: 4:05:38 +[2022/05/18 18:19:16] ppcls INFO: [Train][Epoch 4/30][Iter: 510/1347]lr: 0.02703, CELoss: 2.93193, loss: 2.93193, batch_cost: 0.41088s, reader_cost: 0.03528, ips: 623.05535 images/sec, eta: 4:05:33 +[2022/05/18 18:19:20] ppcls INFO: [Train][Epoch 4/30][Iter: 520/1347]lr: 0.02709, CELoss: 2.93190, loss: 2.93190, batch_cost: 0.41034s, reader_cost: 0.03488, ips: 623.87159 images/sec, eta: 4:05:10 +[2022/05/18 18:19:24] ppcls INFO: [Train][Epoch 4/30][Iter: 530/1347]lr: 0.02715, CELoss: 2.93311, loss: 2.93311, batch_cost: 0.41050s, reader_cost: 0.03499, ips: 623.62753 images/sec, eta: 4:05:11 +[2022/05/18 18:19:28] ppcls INFO: [Train][Epoch 4/30][Iter: 540/1347]lr: 0.02721, CELoss: 2.93258, loss: 2.93258, batch_cost: 0.41064s, reader_cost: 0.03515, ips: 623.42435 images/sec, eta: 4:05:12 +[2022/05/18 18:19:33] ppcls INFO: [Train][Epoch 4/30][Iter: 550/1347]lr: 0.02727, CELoss: 2.92977, loss: 2.92977, batch_cost: 0.41099s, reader_cost: 0.03550, ips: 622.88700 images/sec, eta: 4:05:21 +[2022/05/18 18:19:37] ppcls INFO: [Train][Epoch 4/30][Iter: 560/1347]lr: 0.02733, CELoss: 2.92940, loss: 2.92940, batch_cost: 0.41060s, reader_cost: 0.03521, ips: 623.47097 images/sec, eta: 4:05:03 +[2022/05/18 18:19:40] ppcls INFO: [Train][Epoch 4/30][Iter: 570/1347]lr: 0.02739, CELoss: 2.93161, loss: 2.93161, batch_cost: 0.41024s, reader_cost: 0.03487, ips: 624.01845 images/sec, eta: 4:04:46 +[2022/05/18 18:19:44] ppcls INFO: [Train][Epoch 4/30][Iter: 580/1347]lr: 0.02745, CELoss: 2.93150, loss: 2.93150, batch_cost: 0.40977s, reader_cost: 0.03458, ips: 624.74517 images/sec, eta: 4:04:25 +[2022/05/18 18:19:48] ppcls INFO: [Train][Epoch 4/30][Iter: 590/1347]lr: 0.02751, CELoss: 2.93265, loss: 2.93265, batch_cost: 0.40989s, reader_cost: 0.03472, ips: 624.55985 images/sec, eta: 4:04:25 +[2022/05/18 18:19:52] ppcls INFO: [Train][Epoch 4/30][Iter: 600/1347]lr: 0.02757, CELoss: 2.93146, loss: 2.93146, batch_cost: 0.40932s, reader_cost: 0.03415, ips: 625.43119 images/sec, eta: 4:04:00 +[2022/05/18 18:19:56] ppcls INFO: [Train][Epoch 4/30][Iter: 610/1347]lr: 0.02763, CELoss: 2.92911, loss: 2.92911, batch_cost: 0.40890s, reader_cost: 0.03383, ips: 626.06357 images/sec, eta: 4:03:42 +[2022/05/18 18:20:00] ppcls INFO: [Train][Epoch 4/30][Iter: 620/1347]lr: 0.02769, CELoss: 2.92694, loss: 2.92694, batch_cost: 0.40869s, reader_cost: 0.03358, ips: 626.39418 images/sec, eta: 4:03:30 +[2022/05/18 18:20:04] ppcls INFO: [Train][Epoch 4/30][Iter: 630/1347]lr: 0.02775, CELoss: 2.92455, loss: 2.92455, batch_cost: 0.40865s, reader_cost: 0.03350, ips: 626.44719 images/sec, eta: 4:03:24 +[2022/05/18 18:20:08] ppcls INFO: [Train][Epoch 4/30][Iter: 640/1347]lr: 0.02781, CELoss: 2.92441, loss: 2.92441, batch_cost: 0.40826s, reader_cost: 0.03321, ips: 627.05745 images/sec, eta: 4:03:06 +[2022/05/18 18:20:12] ppcls INFO: [Train][Epoch 4/30][Iter: 650/1347]lr: 0.02787, CELoss: 2.92267, loss: 2.92267, batch_cost: 0.40792s, reader_cost: 0.03296, ips: 627.58078 images/sec, eta: 4:02:50 +[2022/05/18 18:20:16] ppcls INFO: [Train][Epoch 4/30][Iter: 660/1347]lr: 0.02793, CELoss: 2.92179, loss: 2.92179, batch_cost: 0.40822s, reader_cost: 0.03313, ips: 627.11215 images/sec, eta: 4:02:57 +[2022/05/18 18:20:21] ppcls INFO: [Train][Epoch 4/30][Iter: 670/1347]lr: 0.02799, CELoss: 2.91926, loss: 2.91926, batch_cost: 0.40945s, reader_cost: 0.03421, ips: 625.23485 images/sec, eta: 4:03:36 +[2022/05/18 18:20:25] ppcls INFO: [Train][Epoch 4/30][Iter: 680/1347]lr: 0.02804, CELoss: 2.91655, loss: 2.91655, batch_cost: 0.40994s, reader_cost: 0.03454, ips: 624.48390 images/sec, eta: 4:03:50 +[2022/05/18 18:20:30] ppcls INFO: [Train][Epoch 4/30][Iter: 690/1347]lr: 0.02810, CELoss: 2.91466, loss: 2.91466, batch_cost: 0.41019s, reader_cost: 0.03463, ips: 624.10297 images/sec, eta: 4:03:55 +[2022/05/18 18:20:34] ppcls INFO: [Train][Epoch 4/30][Iter: 700/1347]lr: 0.02816, CELoss: 2.91397, loss: 2.91397, batch_cost: 0.41052s, reader_cost: 0.03481, ips: 623.60515 images/sec, eta: 4:04:02 +[2022/05/18 18:20:38] ppcls INFO: [Train][Epoch 4/30][Iter: 710/1347]lr: 0.02822, CELoss: 2.91149, loss: 2.91149, batch_cost: 0.41046s, reader_cost: 0.03471, ips: 623.68555 images/sec, eta: 4:03:56 +[2022/05/18 18:20:42] ppcls INFO: [Train][Epoch 4/30][Iter: 720/1347]lr: 0.02828, CELoss: 2.90960, loss: 2.90960, batch_cost: 0.40994s, reader_cost: 0.03423, ips: 624.47465 images/sec, eta: 4:03:34 +[2022/05/18 18:20:46] ppcls INFO: [Train][Epoch 4/30][Iter: 730/1347]lr: 0.02834, CELoss: 2.90821, loss: 2.90821, batch_cost: 0.40976s, reader_cost: 0.03400, ips: 624.75595 images/sec, eta: 4:03:23 +[2022/05/18 18:20:50] ppcls INFO: [Train][Epoch 4/30][Iter: 740/1347]lr: 0.02840, CELoss: 2.90548, loss: 2.90548, batch_cost: 0.40957s, reader_cost: 0.03372, ips: 625.04734 images/sec, eta: 4:03:12 +[2022/05/18 18:20:54] ppcls INFO: [Train][Epoch 4/30][Iter: 750/1347]lr: 0.02846, CELoss: 2.90587, loss: 2.90587, batch_cost: 0.40926s, reader_cost: 0.03348, ips: 625.52277 images/sec, eta: 4:02:57 +[2022/05/18 18:20:57] ppcls INFO: [Train][Epoch 4/30][Iter: 760/1347]lr: 0.02852, CELoss: 2.90686, loss: 2.90686, batch_cost: 0.40874s, reader_cost: 0.03304, ips: 626.31149 images/sec, eta: 4:02:34 +[2022/05/18 18:21:01] ppcls INFO: [Train][Epoch 4/30][Iter: 770/1347]lr: 0.02858, CELoss: 2.90457, loss: 2.90457, batch_cost: 0.40859s, reader_cost: 0.03301, ips: 626.53993 images/sec, eta: 4:02:25 +[2022/05/18 18:21:05] ppcls INFO: [Train][Epoch 4/30][Iter: 780/1347]lr: 0.02864, CELoss: 2.90448, loss: 2.90448, batch_cost: 0.40856s, reader_cost: 0.03298, ips: 626.58490 images/sec, eta: 4:02:20 +[2022/05/18 18:21:09] ppcls INFO: [Train][Epoch 4/30][Iter: 790/1347]lr: 0.02870, CELoss: 2.90182, loss: 2.90182, batch_cost: 0.40858s, reader_cost: 0.03301, ips: 626.55730 images/sec, eta: 4:02:16 +[2022/05/18 18:21:13] ppcls INFO: [Train][Epoch 4/30][Iter: 800/1347]lr: 0.02876, CELoss: 2.90133, loss: 2.90133, batch_cost: 0.40847s, reader_cost: 0.03298, ips: 626.72696 images/sec, eta: 4:02:08 +[2022/05/18 18:21:18] ppcls INFO: [Train][Epoch 4/30][Iter: 810/1347]lr: 0.02882, CELoss: 2.90063, loss: 2.90063, batch_cost: 0.40853s, reader_cost: 0.03310, ips: 626.63087 images/sec, eta: 4:02:07 +[2022/05/18 18:21:22] ppcls INFO: [Train][Epoch 4/30][Iter: 820/1347]lr: 0.02888, CELoss: 2.90049, loss: 2.90049, batch_cost: 0.40846s, reader_cost: 0.03307, ips: 626.73801 images/sec, eta: 4:02:00 +[2022/05/18 18:21:26] ppcls INFO: [Train][Epoch 4/30][Iter: 830/1347]lr: 0.02894, CELoss: 2.89834, loss: 2.89834, batch_cost: 0.40883s, reader_cost: 0.03342, ips: 626.16993 images/sec, eta: 4:02:09 +[2022/05/18 18:21:30] ppcls INFO: [Train][Epoch 4/30][Iter: 840/1347]lr: 0.02899, CELoss: 2.89662, loss: 2.89662, batch_cost: 0.40930s, reader_cost: 0.03367, ips: 625.45736 images/sec, eta: 4:02:22 +[2022/05/18 18:21:35] ppcls INFO: [Train][Epoch 4/30][Iter: 850/1347]lr: 0.02905, CELoss: 2.89489, loss: 2.89489, batch_cost: 0.41009s, reader_cost: 0.03433, ips: 624.25858 images/sec, eta: 4:02:45 +[2022/05/18 18:21:40] ppcls INFO: [Train][Epoch 4/30][Iter: 860/1347]lr: 0.02911, CELoss: 2.89337, loss: 2.89337, batch_cost: 0.41145s, reader_cost: 0.03556, ips: 622.19121 images/sec, eta: 4:03:30 +[2022/05/18 18:21:44] ppcls INFO: [Train][Epoch 4/30][Iter: 870/1347]lr: 0.02917, CELoss: 2.89365, loss: 2.89365, batch_cost: 0.41131s, reader_cost: 0.03552, ips: 622.40278 images/sec, eta: 4:03:21 +[2022/05/18 18:21:48] ppcls INFO: [Train][Epoch 4/30][Iter: 880/1347]lr: 0.02923, CELoss: 2.89334, loss: 2.89334, batch_cost: 0.41104s, reader_cost: 0.03528, ips: 622.81774 images/sec, eta: 4:03:07 +[2022/05/18 18:21:52] ppcls INFO: [Train][Epoch 4/30][Iter: 890/1347]lr: 0.02929, CELoss: 2.89018, loss: 2.89018, batch_cost: 0.41083s, reader_cost: 0.03506, ips: 623.13132 images/sec, eta: 4:02:55 +[2022/05/18 18:21:56] ppcls INFO: [Train][Epoch 4/30][Iter: 900/1347]lr: 0.02935, CELoss: 2.88982, loss: 2.88982, batch_cost: 0.41038s, reader_cost: 0.03467, ips: 623.81401 images/sec, eta: 4:02:35 +[2022/05/18 18:22:00] ppcls INFO: [Train][Epoch 4/30][Iter: 910/1347]lr: 0.02941, CELoss: 2.89073, loss: 2.89073, batch_cost: 0.41026s, reader_cost: 0.03460, ips: 623.98838 images/sec, eta: 4:02:27 +[2022/05/18 18:22:04] ppcls INFO: [Train][Epoch 4/30][Iter: 920/1347]lr: 0.02947, CELoss: 2.89039, loss: 2.89039, batch_cost: 0.41004s, reader_cost: 0.03439, ips: 624.32922 images/sec, eta: 4:02:15 +[2022/05/18 18:22:08] ppcls INFO: [Train][Epoch 4/30][Iter: 930/1347]lr: 0.02953, CELoss: 2.88907, loss: 2.88907, batch_cost: 0.40997s, reader_cost: 0.03429, ips: 624.44024 images/sec, eta: 4:02:08 +[2022/05/18 18:22:12] ppcls INFO: [Train][Epoch 4/30][Iter: 940/1347]lr: 0.02959, CELoss: 2.88879, loss: 2.88879, batch_cost: 0.40972s, reader_cost: 0.03406, ips: 624.82409 images/sec, eta: 4:01:55 +[2022/05/18 18:22:16] ppcls INFO: [Train][Epoch 4/30][Iter: 950/1347]lr: 0.02965, CELoss: 2.88639, loss: 2.88639, batch_cost: 0.40975s, reader_cost: 0.03413, ips: 624.76626 images/sec, eta: 4:01:53 +[2022/05/18 18:22:20] ppcls INFO: [Train][Epoch 4/30][Iter: 960/1347]lr: 0.02971, CELoss: 2.88644, loss: 2.88644, batch_cost: 0.40947s, reader_cost: 0.03391, ips: 625.20129 images/sec, eta: 4:01:38 +[2022/05/18 18:22:24] ppcls INFO: [Train][Epoch 4/30][Iter: 970/1347]lr: 0.02977, CELoss: 2.88498, loss: 2.88498, batch_cost: 0.40934s, reader_cost: 0.03383, ips: 625.39194 images/sec, eta: 4:01:30 +[2022/05/18 18:22:28] ppcls INFO: [Train][Epoch 4/30][Iter: 980/1347]lr: 0.02983, CELoss: 2.88593, loss: 2.88593, batch_cost: 0.40925s, reader_cost: 0.03379, ips: 625.53934 images/sec, eta: 4:01:22 +[2022/05/18 18:22:32] ppcls INFO: [Train][Epoch 4/30][Iter: 990/1347]lr: 0.02989, CELoss: 2.88327, loss: 2.88327, batch_cost: 0.40898s, reader_cost: 0.03358, ips: 625.95435 images/sec, eta: 4:01:09 +[2022/05/18 18:22:36] ppcls INFO: [Train][Epoch 4/30][Iter: 1000/1347]lr: 0.02995, CELoss: 2.88171, loss: 2.88171, batch_cost: 0.40902s, reader_cost: 0.03362, ips: 625.88092 images/sec, eta: 4:01:06 +[2022/05/18 18:22:40] ppcls INFO: [Train][Epoch 4/30][Iter: 1010/1347]lr: 0.03000, CELoss: 2.88000, loss: 2.88000, batch_cost: 0.40937s, reader_cost: 0.03391, ips: 625.35756 images/sec, eta: 4:01:14 +[2022/05/18 18:22:45] ppcls INFO: [Train][Epoch 4/30][Iter: 1020/1347]lr: 0.03006, CELoss: 2.87721, loss: 2.87721, batch_cost: 0.41055s, reader_cost: 0.03490, ips: 623.55370 images/sec, eta: 4:01:52 +[2022/05/18 18:22:50] ppcls INFO: [Train][Epoch 4/30][Iter: 1030/1347]lr: 0.03012, CELoss: 2.87514, loss: 2.87514, batch_cost: 0.41099s, reader_cost: 0.03523, ips: 622.88393 images/sec, eta: 4:02:04 +[2022/05/18 18:22:54] ppcls INFO: [Train][Epoch 4/30][Iter: 1040/1347]lr: 0.03018, CELoss: 2.87387, loss: 2.87387, batch_cost: 0.41112s, reader_cost: 0.03531, ips: 622.69123 images/sec, eta: 4:02:04 +[2022/05/18 18:22:58] ppcls INFO: [Train][Epoch 4/30][Iter: 1050/1347]lr: 0.03024, CELoss: 2.87158, loss: 2.87158, batch_cost: 0.41094s, reader_cost: 0.03513, ips: 622.95898 images/sec, eta: 4:01:54 +[2022/05/18 18:23:02] ppcls INFO: [Train][Epoch 4/30][Iter: 1060/1347]lr: 0.03030, CELoss: 2.87067, loss: 2.87067, batch_cost: 0.41087s, reader_cost: 0.03510, ips: 623.06436 images/sec, eta: 4:01:47 +[2022/05/18 18:23:06] ppcls INFO: [Train][Epoch 4/30][Iter: 1070/1347]lr: 0.03036, CELoss: 2.86962, loss: 2.86962, batch_cost: 0.41095s, reader_cost: 0.03520, ips: 622.94395 images/sec, eta: 4:01:46 +[2022/05/18 18:23:10] ppcls INFO: [Train][Epoch 4/30][Iter: 1080/1347]lr: 0.03042, CELoss: 2.86791, loss: 2.86791, batch_cost: 0.41080s, reader_cost: 0.03501, ips: 623.18088 images/sec, eta: 4:01:36 +[2022/05/18 18:23:15] ppcls INFO: [Train][Epoch 4/30][Iter: 1090/1347]lr: 0.03048, CELoss: 2.86639, loss: 2.86639, batch_cost: 0.41090s, reader_cost: 0.03501, ips: 623.02054 images/sec, eta: 4:01:36 +[2022/05/18 18:23:18] ppcls INFO: [Train][Epoch 4/30][Iter: 1100/1347]lr: 0.03054, CELoss: 2.86559, loss: 2.86559, batch_cost: 0.41066s, reader_cost: 0.03484, ips: 623.39035 images/sec, eta: 4:01:23 +[2022/05/18 18:23:22] ppcls INFO: [Train][Epoch 4/30][Iter: 1110/1347]lr: 0.03060, CELoss: 2.86356, loss: 2.86356, batch_cost: 0.41053s, reader_cost: 0.03477, ips: 623.58750 images/sec, eta: 4:01:14 +[2022/05/18 18:23:26] ppcls INFO: [Train][Epoch 4/30][Iter: 1120/1347]lr: 0.03066, CELoss: 2.86350, loss: 2.86350, batch_cost: 0.41042s, reader_cost: 0.03472, ips: 623.74421 images/sec, eta: 4:01:07 +[2022/05/18 18:23:30] ppcls INFO: [Train][Epoch 4/30][Iter: 1130/1347]lr: 0.03072, CELoss: 2.86175, loss: 2.86175, batch_cost: 0.41025s, reader_cost: 0.03456, ips: 624.00658 images/sec, eta: 4:00:56 +[2022/05/18 18:23:34] ppcls INFO: [Train][Epoch 4/30][Iter: 1140/1347]lr: 0.03078, CELoss: 2.86069, loss: 2.86069, batch_cost: 0.41019s, reader_cost: 0.03455, ips: 624.10284 images/sec, eta: 4:00:50 +[2022/05/18 18:23:38] ppcls INFO: [Train][Epoch 4/30][Iter: 1150/1347]lr: 0.03084, CELoss: 2.86049, loss: 2.86049, batch_cost: 0.40989s, reader_cost: 0.03425, ips: 624.55995 images/sec, eta: 4:00:35 +[2022/05/18 18:23:42] ppcls INFO: [Train][Epoch 4/30][Iter: 1160/1347]lr: 0.03090, CELoss: 2.85879, loss: 2.85879, batch_cost: 0.40970s, reader_cost: 0.03411, ips: 624.85056 images/sec, eta: 4:00:25 +[2022/05/18 18:23:46] ppcls INFO: [Train][Epoch 4/30][Iter: 1170/1347]lr: 0.03095, CELoss: 2.85751, loss: 2.85751, batch_cost: 0.40975s, reader_cost: 0.03418, ips: 624.77300 images/sec, eta: 4:00:22 +[2022/05/18 18:23:50] ppcls INFO: [Train][Epoch 4/30][Iter: 1180/1347]lr: 0.03101, CELoss: 2.85781, loss: 2.85781, batch_cost: 0.40979s, reader_cost: 0.03417, ips: 624.71521 images/sec, eta: 4:00:19 +[2022/05/18 18:23:55] ppcls INFO: [Train][Epoch 4/30][Iter: 1190/1347]lr: 0.03107, CELoss: 2.85569, loss: 2.85569, batch_cost: 0.40996s, reader_cost: 0.03430, ips: 624.45642 images/sec, eta: 4:00:21 +[2022/05/18 18:23:59] ppcls INFO: [Train][Epoch 4/30][Iter: 1200/1347]lr: 0.03113, CELoss: 2.85534, loss: 2.85534, batch_cost: 0.41021s, reader_cost: 0.03441, ips: 624.07443 images/sec, eta: 4:00:26 +[2022/05/18 18:24:04] ppcls INFO: [Train][Epoch 4/30][Iter: 1210/1347]lr: 0.03119, CELoss: 2.85356, loss: 2.85356, batch_cost: 0.41062s, reader_cost: 0.03469, ips: 623.44874 images/sec, eta: 4:00:36 +[2022/05/18 18:24:08] ppcls INFO: [Train][Epoch 4/30][Iter: 1220/1347]lr: 0.03125, CELoss: 2.85259, loss: 2.85259, batch_cost: 0.41075s, reader_cost: 0.03480, ips: 623.25486 images/sec, eta: 4:00:37 +[2022/05/18 18:24:12] ppcls INFO: [Train][Epoch 4/30][Iter: 1230/1347]lr: 0.03131, CELoss: 2.85283, loss: 2.85283, batch_cost: 0.41063s, reader_cost: 0.03475, ips: 623.43249 images/sec, eta: 4:00:29 +[2022/05/18 18:24:16] ppcls INFO: [Train][Epoch 4/30][Iter: 1240/1347]lr: 0.03137, CELoss: 2.85120, loss: 2.85120, batch_cost: 0.41065s, reader_cost: 0.03479, ips: 623.39604 images/sec, eta: 4:00:25 +[2022/05/18 18:24:20] ppcls INFO: [Train][Epoch 4/30][Iter: 1250/1347]lr: 0.03143, CELoss: 2.85009, loss: 2.85009, batch_cost: 0.41062s, reader_cost: 0.03486, ips: 623.44008 images/sec, eta: 4:00:20 +[2022/05/18 18:24:24] ppcls INFO: [Train][Epoch 4/30][Iter: 1260/1347]lr: 0.03149, CELoss: 2.84886, loss: 2.84886, batch_cost: 0.41033s, reader_cost: 0.03458, ips: 623.89524 images/sec, eta: 4:00:06 +[2022/05/18 18:24:28] ppcls INFO: [Train][Epoch 4/30][Iter: 1270/1347]lr: 0.03155, CELoss: 2.84806, loss: 2.84806, batch_cost: 0.41021s, reader_cost: 0.03454, ips: 624.06441 images/sec, eta: 3:59:58 +[2022/05/18 18:24:32] ppcls INFO: [Train][Epoch 4/30][Iter: 1280/1347]lr: 0.03161, CELoss: 2.84771, loss: 2.84771, batch_cost: 0.41008s, reader_cost: 0.03450, ips: 624.26439 images/sec, eta: 3:59:49 +[2022/05/18 18:24:36] ppcls INFO: [Train][Epoch 4/30][Iter: 1290/1347]lr: 0.03167, CELoss: 2.84654, loss: 2.84654, batch_cost: 0.41008s, reader_cost: 0.03454, ips: 624.27304 images/sec, eta: 3:59:45 +[2022/05/18 18:24:40] ppcls INFO: [Train][Epoch 4/30][Iter: 1300/1347]lr: 0.03173, CELoss: 2.84653, loss: 2.84653, batch_cost: 0.40985s, reader_cost: 0.03437, ips: 624.62042 images/sec, eta: 3:59:32 +[2022/05/18 18:24:44] ppcls INFO: [Train][Epoch 4/30][Iter: 1310/1347]lr: 0.03179, CELoss: 2.84553, loss: 2.84553, batch_cost: 0.40991s, reader_cost: 0.03447, ips: 624.53239 images/sec, eta: 3:59:30 +[2022/05/18 18:24:48] ppcls INFO: [Train][Epoch 4/30][Iter: 1320/1347]lr: 0.03185, CELoss: 2.84510, loss: 2.84510, batch_cost: 0.40985s, reader_cost: 0.03441, ips: 624.61974 images/sec, eta: 3:59:24 +[2022/05/18 18:24:52] ppcls INFO: [Train][Epoch 4/30][Iter: 1330/1347]lr: 0.03190, CELoss: 2.84422, loss: 2.84422, batch_cost: 0.40975s, reader_cost: 0.03440, ips: 624.76839 images/sec, eta: 3:59:17 +[2022/05/18 18:24:56] ppcls INFO: [Train][Epoch 4/30][Iter: 1340/1347]lr: 0.03196, CELoss: 2.84301, loss: 2.84301, batch_cost: 0.40988s, reader_cost: 0.03457, ips: 624.57839 images/sec, eta: 3:59:17 +[2022/05/18 18:24:58] ppcls INFO: [Train][Epoch 4/30][Avg]CELoss: 2.84204, loss: 2.84204 +[2022/05/18 18:24:59] ppcls INFO: gallery feature calculation process: [0/617] +[2022/05/18 18:25:00] ppcls INFO: gallery feature calculation process: [10/617] +[2022/05/18 18:25:01] ppcls INFO: gallery feature calculation process: [20/617] +[2022/05/18 18:25:01] ppcls INFO: gallery feature calculation process: [30/617] +[2022/05/18 18:25:02] ppcls INFO: gallery feature calculation process: [40/617] +[2022/05/18 18:25:03] ppcls INFO: gallery feature calculation process: [50/617] +[2022/05/18 18:25:03] ppcls INFO: gallery feature calculation process: [60/617] +[2022/05/18 18:25:04] ppcls INFO: gallery feature calculation process: [70/617] +[2022/05/18 18:25:05] ppcls INFO: gallery feature calculation process: [80/617] +[2022/05/18 18:25:05] ppcls INFO: gallery feature calculation process: [90/617] +[2022/05/18 18:25:06] ppcls INFO: gallery feature calculation process: [100/617] +[2022/05/18 18:25:07] ppcls INFO: gallery feature calculation process: [110/617] +[2022/05/18 18:25:08] ppcls INFO: gallery feature calculation process: [120/617] +[2022/05/18 18:25:09] ppcls INFO: gallery feature calculation process: [130/617] +[2022/05/18 18:25:10] ppcls INFO: gallery feature calculation process: [140/617] +[2022/05/18 18:25:11] ppcls INFO: gallery feature calculation process: [150/617] +[2022/05/18 18:25:12] ppcls INFO: gallery feature calculation process: [160/617] +[2022/05/18 18:25:13] ppcls INFO: gallery feature calculation process: [170/617] +[2022/05/18 18:25:13] ppcls INFO: gallery feature calculation process: [180/617] +[2022/05/18 18:25:15] ppcls INFO: gallery feature calculation process: [190/617] +[2022/05/18 18:25:16] ppcls INFO: gallery feature calculation process: [200/617] +[2022/05/18 18:25:17] ppcls INFO: gallery feature calculation process: [210/617] +[2022/05/18 18:25:17] ppcls INFO: gallery feature calculation process: [220/617] +[2022/05/18 18:25:19] ppcls INFO: gallery feature calculation process: [230/617] +[2022/05/18 18:25:19] ppcls INFO: gallery feature calculation process: [240/617] +[2022/05/18 18:25:20] ppcls INFO: gallery feature calculation process: [250/617] +[2022/05/18 18:25:21] ppcls INFO: gallery feature calculation process: [260/617] +[2022/05/18 18:25:22] ppcls INFO: gallery feature calculation process: [270/617] +[2022/05/18 18:25:22] ppcls INFO: gallery feature calculation process: [280/617] +[2022/05/18 18:25:23] ppcls INFO: gallery feature calculation process: [290/617] +[2022/05/18 18:25:24] ppcls INFO: gallery feature calculation process: [300/617] +[2022/05/18 18:25:24] ppcls INFO: gallery feature calculation process: [310/617] +[2022/05/18 18:25:25] ppcls INFO: gallery feature calculation process: [320/617] +[2022/05/18 18:25:26] ppcls INFO: gallery feature calculation process: [330/617] +[2022/05/18 18:25:27] ppcls INFO: gallery feature calculation process: [340/617] +[2022/05/18 18:25:27] ppcls INFO: gallery feature calculation process: [350/617] +[2022/05/18 18:25:28] ppcls INFO: gallery feature calculation process: [360/617] +[2022/05/18 18:25:29] ppcls INFO: gallery feature calculation process: [370/617] +[2022/05/18 18:25:30] ppcls INFO: gallery feature calculation process: [380/617] +[2022/05/18 18:25:30] ppcls INFO: gallery feature calculation process: 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+[2022/05/18 18:25:40] ppcls INFO: gallery feature calculation process: [520/617] +[2022/05/18 18:25:41] ppcls INFO: gallery feature calculation process: [530/617] +[2022/05/18 18:25:41] ppcls INFO: gallery feature calculation process: [540/617] +[2022/05/18 18:25:42] ppcls INFO: gallery feature calculation process: [550/617] +[2022/05/18 18:25:43] ppcls INFO: gallery feature calculation process: [560/617] +[2022/05/18 18:25:44] ppcls INFO: gallery feature calculation process: [570/617] +[2022/05/18 18:25:44] ppcls INFO: gallery feature calculation process: [580/617] +[2022/05/18 18:25:45] ppcls INFO: gallery feature calculation process: [590/617] +[2022/05/18 18:25:46] ppcls INFO: gallery feature calculation process: [600/617] +[2022/05/18 18:25:47] ppcls INFO: gallery feature calculation process: [610/617] +[2022/05/18 18:25:47] ppcls INFO: Build gallery done, all feat shape: [39457, 1280], begin to eval.. +[2022/05/18 18:25:48] ppcls INFO: query feature calculation process: [0/617] +[2022/05/18 18:25:49] ppcls INFO: query feature calculation process: [10/617] +[2022/05/18 18:25:50] ppcls INFO: query feature calculation process: [20/617] +[2022/05/18 18:25:50] ppcls INFO: query feature calculation process: [30/617] +[2022/05/18 18:25:51] ppcls INFO: query feature calculation process: [40/617] +[2022/05/18 18:25:52] ppcls INFO: query feature calculation process: [50/617] +[2022/05/18 18:25:53] ppcls INFO: query feature calculation process: [60/617] +[2022/05/18 18:25:53] ppcls INFO: query feature calculation process: [70/617] +[2022/05/18 18:25:54] ppcls INFO: query feature calculation process: [80/617] +[2022/05/18 18:25:55] ppcls INFO: query feature calculation process: [90/617] +[2022/05/18 18:25:55] ppcls INFO: query feature calculation process: [100/617] +[2022/05/18 18:25:56] ppcls INFO: query feature calculation process: [110/617] +[2022/05/18 18:25:57] ppcls INFO: query feature calculation process: [120/617] +[2022/05/18 18:25:58] ppcls INFO: query feature calculation process: [130/617] +[2022/05/18 18:25:58] ppcls INFO: query feature calculation process: [140/617] +[2022/05/18 18:25:59] ppcls INFO: query feature calculation process: [150/617] +[2022/05/18 18:26:00] ppcls INFO: query feature calculation process: [160/617] +[2022/05/18 18:26:01] ppcls INFO: query feature calculation process: [170/617] +[2022/05/18 18:26:02] ppcls INFO: query feature calculation process: [180/617] +[2022/05/18 18:26:03] ppcls INFO: query feature calculation process: [190/617] +[2022/05/18 18:26:03] ppcls INFO: query feature calculation process: [200/617] +[2022/05/18 18:26:04] ppcls INFO: query feature calculation process: [210/617] +[2022/05/18 18:26:05] ppcls INFO: query feature calculation process: [220/617] +[2022/05/18 18:26:06] ppcls INFO: query feature calculation process: [230/617] +[2022/05/18 18:26:06] ppcls INFO: query feature calculation process: [240/617] +[2022/05/18 18:26:07] ppcls INFO: query feature calculation process: [250/617] +[2022/05/18 18:26:08] ppcls INFO: query feature calculation process: [260/617] +[2022/05/18 18:26:09] ppcls INFO: query feature calculation process: [270/617] +[2022/05/18 18:26:09] ppcls INFO: query feature calculation process: [280/617] +[2022/05/18 18:26:10] ppcls INFO: query feature calculation process: [290/617] +[2022/05/18 18:26:11] ppcls INFO: query feature calculation process: [300/617] +[2022/05/18 18:26:11] ppcls INFO: query feature calculation process: [310/617] +[2022/05/18 18:26:12] ppcls INFO: query feature calculation process: [320/617] +[2022/05/18 18:26:13] ppcls INFO: query feature calculation process: [330/617] +[2022/05/18 18:26:13] ppcls INFO: query feature calculation process: [340/617] +[2022/05/18 18:26:14] ppcls INFO: query feature calculation process: [350/617] +[2022/05/18 18:26:15] ppcls INFO: query feature calculation process: [360/617] +[2022/05/18 18:26:16] ppcls INFO: query feature calculation process: [370/617] +[2022/05/18 18:26:17] ppcls INFO: query feature calculation process: [380/617] +[2022/05/18 18:26:17] ppcls INFO: query feature calculation process: [390/617] +[2022/05/18 18:26:18] ppcls INFO: query feature calculation process: [400/617] +[2022/05/18 18:26:19] ppcls INFO: query feature calculation process: [410/617] +[2022/05/18 18:26:20] ppcls INFO: query feature calculation process: [420/617] +[2022/05/18 18:26:21] ppcls INFO: query feature calculation process: [430/617] +[2022/05/18 18:26:22] ppcls INFO: query feature calculation process: [440/617] +[2022/05/18 18:26:23] ppcls INFO: query feature calculation process: [450/617] +[2022/05/18 18:26:23] ppcls INFO: query feature calculation process: [460/617] +[2022/05/18 18:26:24] ppcls INFO: query feature calculation process: [470/617] +[2022/05/18 18:26:25] ppcls INFO: query feature calculation process: [480/617] +[2022/05/18 18:26:26] ppcls INFO: query feature calculation process: [490/617] +[2022/05/18 18:26:27] ppcls INFO: query feature calculation process: [500/617] +[2022/05/18 18:26:28] ppcls INFO: query feature calculation process: [510/617] +[2022/05/18 18:26:29] ppcls INFO: query feature calculation process: [520/617] +[2022/05/18 18:26:30] ppcls INFO: query feature calculation process: [530/617] +[2022/05/18 18:26:31] ppcls INFO: query feature calculation process: [540/617] +[2022/05/18 18:26:32] ppcls INFO: query feature calculation process: [550/617] +[2022/05/18 18:26:32] ppcls INFO: query feature calculation process: [560/617] +[2022/05/18 18:26:33] ppcls INFO: query feature calculation process: [570/617] +[2022/05/18 18:26:34] ppcls INFO: query feature calculation process: [580/617] +[2022/05/18 18:26:34] ppcls INFO: query feature calculation process: [590/617] +[2022/05/18 18:26:35] ppcls INFO: query feature calculation process: [600/617] +[2022/05/18 18:26:36] ppcls INFO: query feature calculation process: [610/617] +[2022/05/18 18:26:36] ppcls INFO: Build query done, all feat shape: [39457, 1280], begin to eval.. +[2022/05/18 18:26:38] ppcls INFO: [Eval][Epoch 4][Avg]recall1: 0.91833, recall5: 0.96277 +[2022/05/18 18:26:39] ppcls INFO: Already save model in ./output/RecModel/best_model +[2022/05/18 18:26:39] ppcls INFO: [Eval][Epoch 4][best metric: 0.9183306314169559] +[2022/05/18 18:26:39] ppcls INFO: Already save model in ./output/RecModel/epoch_4 +[2022/05/18 18:26:40] ppcls INFO: Already save model in ./output/RecModel/latest +[2022/05/18 18:26:42] ppcls INFO: [Train][Epoch 5/30][Iter: 0/1347]lr: 0.03201, CELoss: 2.33494, loss: 2.33494, batch_cost: 0.41113s, reader_cost: 0.03586, ips: 622.67316 images/sec, eta: 3:59:58 +[2022/05/18 18:26:46] ppcls INFO: [Train][Epoch 5/30][Iter: 10/1347]lr: 0.03207, CELoss: 2.63274, loss: 2.63274, batch_cost: 0.40046s, reader_cost: 0.02251, ips: 639.26148 images/sec, eta: 3:53:40 +[2022/05/18 18:26:50] ppcls INFO: [Train][Epoch 5/30][Iter: 20/1347]lr: 0.03212, CELoss: 2.58393, loss: 2.58393, batch_cost: 0.40024s, reader_cost: 0.02635, ips: 639.60927 images/sec, eta: 3:53:29 +[2022/05/18 18:26:54] ppcls INFO: [Train][Epoch 5/30][Iter: 30/1347]lr: 0.03218, CELoss: 2.57492, loss: 2.57492, batch_cost: 0.40326s, reader_cost: 0.02921, ips: 634.82449 images/sec, eta: 3:55:10 +[2022/05/18 18:26:58] ppcls INFO: [Train][Epoch 5/30][Iter: 40/1347]lr: 0.03224, CELoss: 2.59209, loss: 2.59209, batch_cost: 0.40282s, reader_cost: 0.02850, ips: 635.52355 images/sec, eta: 3:54:51 +[2022/05/18 18:27:02] ppcls INFO: [Train][Epoch 5/30][Iter: 50/1347]lr: 0.03230, CELoss: 2.60257, loss: 2.60257, batch_cost: 0.40069s, reader_cost: 0.02857, ips: 638.90518 images/sec, eta: 3:53:32 +[2022/05/18 18:27:06] ppcls INFO: [Train][Epoch 5/30][Iter: 60/1347]lr: 0.03236, CELoss: 2.60916, loss: 2.60916, batch_cost: 0.40114s, reader_cost: 0.02889, ips: 638.18322 images/sec, eta: 3:53:44 +[2022/05/18 18:27:10] ppcls INFO: [Train][Epoch 5/30][Iter: 70/1347]lr: 0.03242, CELoss: 2.61676, loss: 2.61676, batch_cost: 0.40493s, reader_cost: 0.03017, ips: 632.21179 images/sec, eta: 3:55:53 +[2022/05/18 18:27:14] ppcls INFO: [Train][Epoch 5/30][Iter: 80/1347]lr: 0.03248, CELoss: 2.65519, loss: 2.65519, batch_cost: 0.40473s, reader_cost: 0.03001, ips: 632.51682 images/sec, eta: 3:55:42 +[2022/05/18 18:27:18] ppcls INFO: [Train][Epoch 5/30][Iter: 90/1347]lr: 0.03254, CELoss: 2.64238, loss: 2.64238, batch_cost: 0.40260s, reader_cost: 0.02830, ips: 635.87326 images/sec, eta: 3:54:23 +[2022/05/18 18:27:22] ppcls INFO: [Train][Epoch 5/30][Iter: 100/1347]lr: 0.03260, CELoss: 2.65128, loss: 2.65128, batch_cost: 0.40192s, reader_cost: 0.02825, ips: 636.93558 images/sec, eta: 3:53:56 +[2022/05/18 18:27:26] ppcls INFO: [Train][Epoch 5/30][Iter: 110/1347]lr: 0.03266, CELoss: 2.64157, loss: 2.64157, batch_cost: 0.40228s, reader_cost: 0.02844, ips: 636.37527 images/sec, eta: 3:54:04 +[2022/05/18 18:27:30] ppcls INFO: [Train][Epoch 5/30][Iter: 120/1347]lr: 0.03272, CELoss: 2.63763, loss: 2.63763, batch_cost: 0.40395s, reader_cost: 0.03013, ips: 633.74964 images/sec, eta: 3:54:58 +[2022/05/18 18:27:35] ppcls INFO: [Train][Epoch 5/30][Iter: 130/1347]lr: 0.03278, CELoss: 2.62939, loss: 2.62939, batch_cost: 0.40619s, reader_cost: 0.03143, ips: 630.25203 images/sec, eta: 3:56:12 +[2022/05/18 18:27:40] ppcls INFO: [Train][Epoch 5/30][Iter: 140/1347]lr: 0.03284, CELoss: 2.62487, loss: 2.62487, batch_cost: 0.41144s, reader_cost: 0.03600, ips: 622.19777 images/sec, eta: 3:59:12 +[2022/05/18 18:27:44] ppcls INFO: [Train][Epoch 5/30][Iter: 150/1347]lr: 0.03290, CELoss: 2.62872, loss: 2.62872, batch_cost: 0.41357s, reader_cost: 0.03744, ips: 618.99606 images/sec, eta: 4:00:22 +[2022/05/18 18:27:48] ppcls INFO: [Train][Epoch 5/30][Iter: 160/1347]lr: 0.03296, CELoss: 2.62664, loss: 2.62664, batch_cost: 0.41340s, reader_cost: 0.03768, ips: 619.25061 images/sec, eta: 4:00:12 +[2022/05/18 18:27:52] ppcls INFO: [Train][Epoch 5/30][Iter: 170/1347]lr: 0.03302, CELoss: 2.62190, loss: 2.62190, batch_cost: 0.41177s, reader_cost: 0.03637, ips: 621.70665 images/sec, eta: 3:59:10 +[2022/05/18 18:27:56] ppcls INFO: [Train][Epoch 5/30][Iter: 180/1347]lr: 0.03307, CELoss: 2.62083, loss: 2.62083, batch_cost: 0.41065s, reader_cost: 0.03515, ips: 623.40277 images/sec, eta: 3:58:27 +[2022/05/18 18:28:00] ppcls INFO: [Train][Epoch 5/30][Iter: 190/1347]lr: 0.03313, CELoss: 2.62359, loss: 2.62359, batch_cost: 0.41033s, reader_cost: 0.03499, ips: 623.89524 images/sec, eta: 3:58:12 +[2022/05/18 18:28:04] ppcls INFO: [Train][Epoch 5/30][Iter: 200/1347]lr: 0.03319, CELoss: 2.62419, loss: 2.62419, batch_cost: 0.40963s, reader_cost: 0.03470, ips: 624.95454 images/sec, eta: 3:57:44 +[2022/05/18 18:28:08] ppcls INFO: [Train][Epoch 5/30][Iter: 210/1347]lr: 0.03325, CELoss: 2.62536, loss: 2.62536, batch_cost: 0.40832s, reader_cost: 0.03372, ips: 626.96530 images/sec, eta: 3:56:54 +[2022/05/18 18:28:12] ppcls INFO: [Train][Epoch 5/30][Iter: 220/1347]lr: 0.03331, CELoss: 2.62448, loss: 2.62448, batch_cost: 0.40857s, reader_cost: 0.03412, ips: 626.57806 images/sec, eta: 3:56:58 +[2022/05/18 18:28:16] ppcls INFO: [Train][Epoch 5/30][Iter: 230/1347]lr: 0.03337, CELoss: 2.62641, loss: 2.62641, batch_cost: 0.40934s, reader_cost: 0.03435, ips: 625.39566 images/sec, eta: 3:57:21 +[2022/05/18 18:28:20] ppcls INFO: [Train][Epoch 5/30][Iter: 240/1347]lr: 0.03343, CELoss: 2.62372, loss: 2.62372, batch_cost: 0.40936s, reader_cost: 0.03483, ips: 625.35915 images/sec, eta: 3:57:18 +[2022/05/18 18:28:24] ppcls INFO: [Train][Epoch 5/30][Iter: 250/1347]lr: 0.03349, CELoss: 2.62561, loss: 2.62561, batch_cost: 0.40818s, reader_cost: 0.03403, ips: 627.17653 images/sec, eta: 3:56:33 +[2022/05/18 18:28:28] ppcls INFO: [Train][Epoch 5/30][Iter: 260/1347]lr: 0.03355, CELoss: 2.62504, loss: 2.62504, batch_cost: 0.40823s, reader_cost: 0.03401, ips: 627.09910 images/sec, eta: 3:56:30 +[2022/05/18 18:28:32] ppcls INFO: [Train][Epoch 5/30][Iter: 270/1347]lr: 0.03361, CELoss: 2.62075, loss: 2.62075, batch_cost: 0.40770s, reader_cost: 0.03367, ips: 627.90943 images/sec, eta: 3:56:08 +[2022/05/18 18:28:36] ppcls INFO: [Train][Epoch 5/30][Iter: 280/1347]lr: 0.03367, CELoss: 2.62186, loss: 2.62186, batch_cost: 0.40749s, reader_cost: 0.03346, ips: 628.24084 images/sec, eta: 3:55:56 +[2022/05/18 18:28:40] ppcls INFO: [Train][Epoch 5/30][Iter: 290/1347]lr: 0.03373, CELoss: 2.62345, loss: 2.62345, batch_cost: 0.40681s, reader_cost: 0.03282, ips: 629.29336 images/sec, eta: 3:55:29 +[2022/05/18 18:28:44] ppcls INFO: [Train][Epoch 5/30][Iter: 300/1347]lr: 0.03379, CELoss: 2.62191, loss: 2.62191, batch_cost: 0.40690s, reader_cost: 0.03234, ips: 629.14449 images/sec, eta: 3:55:28 +[2022/05/18 18:28:49] ppcls INFO: [Train][Epoch 5/30][Iter: 310/1347]lr: 0.03385, CELoss: 2.62143, loss: 2.62143, batch_cost: 0.40865s, reader_cost: 0.03325, ips: 626.45933 images/sec, eta: 3:56:24 +[2022/05/18 18:28:54] ppcls INFO: [Train][Epoch 5/30][Iter: 320/1347]lr: 0.03391, CELoss: 2.62110, loss: 2.62110, batch_cost: 0.41122s, reader_cost: 0.03517, ips: 622.54260 images/sec, eta: 3:57:50 +[2022/05/18 18:28:58] ppcls INFO: [Train][Epoch 5/30][Iter: 330/1347]lr: 0.03397, CELoss: 2.61953, loss: 2.61953, batch_cost: 0.41271s, reader_cost: 0.03636, ips: 620.28969 images/sec, eta: 3:58:37 +[2022/05/18 18:29:02] ppcls INFO: [Train][Epoch 5/30][Iter: 340/1347]lr: 0.03403, CELoss: 2.62155, loss: 2.62155, batch_cost: 0.41322s, reader_cost: 0.03668, ips: 619.51916 images/sec, eta: 3:58:51 +[2022/05/18 18:29:06] ppcls INFO: [Train][Epoch 5/30][Iter: 350/1347]lr: 0.03408, CELoss: 2.62088, loss: 2.62088, batch_cost: 0.41244s, reader_cost: 0.03615, ips: 620.68942 images/sec, eta: 3:58:20 +[2022/05/18 18:29:11] ppcls INFO: [Train][Epoch 5/30][Iter: 360/1347]lr: 0.03414, CELoss: 2.62036, loss: 2.62036, batch_cost: 0.41264s, reader_cost: 0.03656, ips: 620.38806 images/sec, eta: 3:58:23 +[2022/05/18 18:29:14] ppcls INFO: [Train][Epoch 5/30][Iter: 370/1347]lr: 0.03420, CELoss: 2.61632, loss: 2.61632, batch_cost: 0.41186s, reader_cost: 0.03593, ips: 621.57293 images/sec, eta: 3:57:51 +[2022/05/18 18:29:18] ppcls INFO: [Train][Epoch 5/30][Iter: 380/1347]lr: 0.03426, CELoss: 2.61497, loss: 2.61497, batch_cost: 0.41179s, reader_cost: 0.03575, ips: 621.67412 images/sec, eta: 3:57:45 +[2022/05/18 18:29:23] ppcls INFO: [Train][Epoch 5/30][Iter: 390/1347]lr: 0.03432, CELoss: 2.61469, loss: 2.61469, batch_cost: 0.41176s, reader_cost: 0.03554, ips: 621.72438 images/sec, eta: 3:57:40 +[2022/05/18 18:29:27] ppcls INFO: [Train][Epoch 5/30][Iter: 400/1347]lr: 0.03438, CELoss: 2.61421, loss: 2.61421, batch_cost: 0.41196s, reader_cost: 0.03579, ips: 621.41327 images/sec, eta: 3:57:43 +[2022/05/18 18:29:31] ppcls INFO: [Train][Epoch 5/30][Iter: 410/1347]lr: 0.03444, CELoss: 2.61293, loss: 2.61293, batch_cost: 0.41142s, reader_cost: 0.03533, ips: 622.23235 images/sec, eta: 3:57:20 +[2022/05/18 18:29:35] ppcls INFO: [Train][Epoch 5/30][Iter: 420/1347]lr: 0.03450, CELoss: 2.61003, loss: 2.61003, batch_cost: 0.41177s, reader_cost: 0.03564, ips: 621.71314 images/sec, eta: 3:57:27 +[2022/05/18 18:29:39] ppcls INFO: [Train][Epoch 5/30][Iter: 430/1347]lr: 0.03456, CELoss: 2.61081, loss: 2.61081, batch_cost: 0.41111s, reader_cost: 0.03517, ips: 622.69734 images/sec, eta: 3:57:01 +[2022/05/18 18:29:43] ppcls INFO: [Train][Epoch 5/30][Iter: 440/1347]lr: 0.03462, CELoss: 2.61096, loss: 2.61096, batch_cost: 0.41076s, reader_cost: 0.03501, ips: 623.23114 images/sec, eta: 3:56:44 +[2022/05/18 18:29:47] ppcls INFO: [Train][Epoch 5/30][Iter: 450/1347]lr: 0.03468, CELoss: 2.61006, loss: 2.61006, batch_cost: 0.41017s, reader_cost: 0.03452, ips: 624.13444 images/sec, eta: 3:56:20 +[2022/05/18 18:29:51] ppcls INFO: [Train][Epoch 5/30][Iter: 460/1347]lr: 0.03474, CELoss: 2.61178, loss: 2.61178, batch_cost: 0.41007s, reader_cost: 0.03458, ips: 624.28635 images/sec, eta: 3:56:12 +[2022/05/18 18:29:54] ppcls INFO: [Train][Epoch 5/30][Iter: 470/1347]lr: 0.03480, CELoss: 2.61296, loss: 2.61296, batch_cost: 0.40943s, reader_cost: 0.03416, ips: 625.26062 images/sec, eta: 3:55:46 +[2022/05/18 18:29:59] ppcls INFO: [Train][Epoch 5/30][Iter: 480/1347]lr: 0.03486, CELoss: 2.61378, loss: 2.61378, batch_cost: 0.40973s, reader_cost: 0.03444, ips: 624.80918 images/sec, eta: 3:55:52 +[2022/05/18 18:30:03] ppcls INFO: [Train][Epoch 5/30][Iter: 490/1347]lr: 0.03492, CELoss: 2.61123, loss: 2.61123, batch_cost: 0.41056s, reader_cost: 0.03495, ips: 623.53807 images/sec, eta: 3:56:17 +[2022/05/18 18:30:08] ppcls INFO: [Train][Epoch 5/30][Iter: 500/1347]lr: 0.03498, CELoss: 2.60899, loss: 2.60899, batch_cost: 0.41227s, reader_cost: 0.03643, ips: 620.94689 images/sec, eta: 3:57:12 +[2022/05/18 18:30:12] ppcls INFO: [Train][Epoch 5/30][Iter: 510/1347]lr: 0.03503, CELoss: 2.61109, loss: 2.61109, batch_cost: 0.41263s, reader_cost: 0.03660, ips: 620.40881 images/sec, eta: 3:57:20 +[2022/05/18 18:30:16] ppcls INFO: [Train][Epoch 5/30][Iter: 520/1347]lr: 0.03509, CELoss: 2.61023, loss: 2.61023, batch_cost: 0.41246s, reader_cost: 0.03651, ips: 620.67075 images/sec, eta: 3:57:10 +[2022/05/18 18:30:20] ppcls INFO: [Train][Epoch 5/30][Iter: 530/1347]lr: 0.03515, CELoss: 2.60688, loss: 2.60688, batch_cost: 0.41197s, reader_cost: 0.03610, ips: 621.41039 images/sec, eta: 3:56:49 +[2022/05/18 18:30:24] ppcls INFO: [Train][Epoch 5/30][Iter: 540/1347]lr: 0.03521, CELoss: 2.60871, loss: 2.60871, batch_cost: 0.41199s, reader_cost: 0.03612, ips: 621.37577 images/sec, eta: 3:56:46 +[2022/05/18 18:30:29] ppcls INFO: [Train][Epoch 5/30][Iter: 550/1347]lr: 0.03527, CELoss: 2.60728, loss: 2.60728, batch_cost: 0.41214s, reader_cost: 0.03602, ips: 621.15241 images/sec, eta: 3:56:47 +[2022/05/18 18:30:33] ppcls INFO: [Train][Epoch 5/30][Iter: 560/1347]lr: 0.03533, CELoss: 2.60795, loss: 2.60795, batch_cost: 0.41195s, reader_cost: 0.03584, ips: 621.42872 images/sec, eta: 3:56:36 +[2022/05/18 18:30:37] ppcls INFO: [Train][Epoch 5/30][Iter: 570/1347]lr: 0.03539, CELoss: 2.60814, loss: 2.60814, batch_cost: 0.41166s, reader_cost: 0.03552, ips: 621.86978 images/sec, eta: 3:56:22 +[2022/05/18 18:30:41] ppcls INFO: [Train][Epoch 5/30][Iter: 580/1347]lr: 0.03545, CELoss: 2.60791, loss: 2.60791, batch_cost: 0.41182s, reader_cost: 0.03561, ips: 621.62792 images/sec, eta: 3:56:23 +[2022/05/18 18:30:45] ppcls INFO: [Train][Epoch 5/30][Iter: 590/1347]lr: 0.03551, CELoss: 2.60699, loss: 2.60699, batch_cost: 0.41124s, reader_cost: 0.03502, ips: 622.50067 images/sec, eta: 3:55:59 +[2022/05/18 18:30:49] ppcls INFO: [Train][Epoch 5/30][Iter: 600/1347]lr: 0.03557, CELoss: 2.60714, loss: 2.60714, batch_cost: 0.41121s, reader_cost: 0.03510, ips: 622.54942 images/sec, eta: 3:55:54 +[2022/05/18 18:30:53] ppcls INFO: [Train][Epoch 5/30][Iter: 610/1347]lr: 0.03563, CELoss: 2.60567, loss: 2.60567, batch_cost: 0.41103s, reader_cost: 0.03498, ips: 622.81825 images/sec, eta: 3:55:44 +[2022/05/18 18:30:57] ppcls INFO: [Train][Epoch 5/30][Iter: 620/1347]lr: 0.03569, CELoss: 2.60482, loss: 2.60482, batch_cost: 0.41091s, reader_cost: 0.03486, ips: 623.00315 images/sec, eta: 3:55:36 +[2022/05/18 18:31:01] ppcls INFO: [Train][Epoch 5/30][Iter: 630/1347]lr: 0.03575, CELoss: 2.60216, loss: 2.60216, batch_cost: 0.41052s, reader_cost: 0.03455, ips: 623.60115 images/sec, eta: 3:55:18 +[2022/05/18 18:31:05] ppcls INFO: [Train][Epoch 5/30][Iter: 640/1347]lr: 0.03581, CELoss: 2.60311, loss: 2.60311, batch_cost: 0.41057s, reader_cost: 0.03466, ips: 623.52814 images/sec, eta: 3:55:16 +[2022/05/18 18:31:09] ppcls INFO: [Train][Epoch 5/30][Iter: 650/1347]lr: 0.03587, CELoss: 2.60289, loss: 2.60289, batch_cost: 0.41066s, reader_cost: 0.03453, ips: 623.38825 images/sec, eta: 3:55:15 +[2022/05/18 18:31:13] ppcls INFO: [Train][Epoch 5/30][Iter: 660/1347]lr: 0.03593, CELoss: 2.60219, loss: 2.60219, batch_cost: 0.41100s, reader_cost: 0.03487, ips: 622.86532 images/sec, eta: 3:55:22 +[2022/05/18 18:31:18] ppcls INFO: [Train][Epoch 5/30][Iter: 670/1347]lr: 0.03599, CELoss: 2.60329, loss: 2.60329, batch_cost: 0.41174s, reader_cost: 0.03540, ips: 621.75221 images/sec, eta: 3:55:44 +[2022/05/18 18:31:23] ppcls INFO: [Train][Epoch 5/30][Iter: 680/1347]lr: 0.03604, CELoss: 2.60344, loss: 2.60344, batch_cost: 0.41283s, reader_cost: 0.03626, ips: 620.10410 images/sec, eta: 3:56:17 +[2022/05/18 18:31:27] ppcls INFO: [Train][Epoch 5/30][Iter: 690/1347]lr: 0.03610, CELoss: 2.60290, loss: 2.60290, batch_cost: 0.41271s, reader_cost: 0.03624, ips: 620.29344 images/sec, eta: 3:56:09 +[2022/05/18 18:31:31] ppcls INFO: [Train][Epoch 5/30][Iter: 700/1347]lr: 0.03616, CELoss: 2.60230, loss: 2.60230, batch_cost: 0.41252s, reader_cost: 0.03616, ips: 620.57244 images/sec, eta: 3:55:58 +[2022/05/18 18:31:35] ppcls INFO: [Train][Epoch 5/30][Iter: 710/1347]lr: 0.03622, CELoss: 2.60089, loss: 2.60089, batch_cost: 0.41267s, reader_cost: 0.03625, ips: 620.35639 images/sec, eta: 3:55:59 +[2022/05/18 18:31:39] ppcls INFO: [Train][Epoch 5/30][Iter: 720/1347]lr: 0.03628, CELoss: 2.60239, loss: 2.60239, batch_cost: 0.41286s, reader_cost: 0.03638, ips: 620.05955 images/sec, eta: 3:56:02 +[2022/05/18 18:31:43] ppcls INFO: [Train][Epoch 5/30][Iter: 730/1347]lr: 0.03634, CELoss: 2.60172, loss: 2.60172, batch_cost: 0.41269s, reader_cost: 0.03627, ips: 620.31418 images/sec, eta: 3:55:52 +[2022/05/18 18:31:47] ppcls INFO: [Train][Epoch 5/30][Iter: 740/1347]lr: 0.03640, CELoss: 2.59996, loss: 2.59996, batch_cost: 0.41229s, reader_cost: 0.03601, ips: 620.92475 images/sec, eta: 3:55:34 +[2022/05/18 18:31:51] ppcls INFO: [Train][Epoch 5/30][Iter: 750/1347]lr: 0.03646, CELoss: 2.59758, loss: 2.59758, batch_cost: 0.41190s, reader_cost: 0.03573, ips: 621.50293 images/sec, eta: 3:55:16 +[2022/05/18 18:31:55] ppcls INFO: [Train][Epoch 5/30][Iter: 760/1347]lr: 0.03652, CELoss: 2.59618, loss: 2.59618, batch_cost: 0.41170s, reader_cost: 0.03564, ips: 621.80714 images/sec, eta: 3:55:05 +[2022/05/18 18:31:59] ppcls INFO: [Train][Epoch 5/30][Iter: 770/1347]lr: 0.03658, CELoss: 2.59756, loss: 2.59756, batch_cost: 0.41150s, reader_cost: 0.03552, ips: 622.10962 images/sec, eta: 3:54:54 +[2022/05/18 18:32:03] ppcls INFO: [Train][Epoch 5/30][Iter: 780/1347]lr: 0.03664, CELoss: 2.59633, loss: 2.59633, batch_cost: 0.41143s, reader_cost: 0.03554, ips: 622.22200 images/sec, eta: 3:54:48 +[2022/05/18 18:32:07] ppcls INFO: [Train][Epoch 5/30][Iter: 790/1347]lr: 0.03670, CELoss: 2.59537, loss: 2.59537, batch_cost: 0.41134s, reader_cost: 0.03549, ips: 622.36241 images/sec, eta: 3:54:40 +[2022/05/18 18:32:11] ppcls INFO: [Train][Epoch 5/30][Iter: 800/1347]lr: 0.03676, CELoss: 2.59581, loss: 2.59581, batch_cost: 0.41139s, reader_cost: 0.03543, ips: 622.27974 images/sec, eta: 3:54:38 +[2022/05/18 18:32:15] ppcls INFO: [Train][Epoch 5/30][Iter: 810/1347]lr: 0.03682, CELoss: 2.59546, loss: 2.59546, batch_cost: 0.41126s, reader_cost: 0.03532, ips: 622.47927 images/sec, eta: 3:54:29 +[2022/05/18 18:32:19] ppcls INFO: [Train][Epoch 5/30][Iter: 820/1347]lr: 0.03688, CELoss: 2.59536, loss: 2.59536, batch_cost: 0.41107s, reader_cost: 0.03510, ips: 622.75802 images/sec, eta: 3:54:19 +[2022/05/18 18:32:23] ppcls INFO: [Train][Epoch 5/30][Iter: 830/1347]lr: 0.03694, CELoss: 2.59660, loss: 2.59660, batch_cost: 0.41074s, reader_cost: 0.03486, ips: 623.26235 images/sec, eta: 3:54:04 +[2022/05/18 18:32:27] ppcls INFO: [Train][Epoch 5/30][Iter: 840/1347]lr: 0.03699, CELoss: 2.59511, loss: 2.59511, batch_cost: 0.41108s, reader_cost: 0.03500, ips: 622.74708 images/sec, eta: 3:54:11 +[2022/05/18 18:32:32] ppcls INFO: [Train][Epoch 5/30][Iter: 850/1347]lr: 0.03705, CELoss: 2.59303, loss: 2.59303, batch_cost: 0.41138s, reader_cost: 0.03524, ips: 622.29513 images/sec, eta: 3:54:17 +[2022/05/18 18:32:36] ppcls INFO: [Train][Epoch 5/30][Iter: 860/1347]lr: 0.03711, CELoss: 2.59449, loss: 2.59449, batch_cost: 0.41216s, reader_cost: 0.03580, ips: 621.12524 images/sec, eta: 3:54:40 +[2022/05/18 18:32:41] ppcls INFO: [Train][Epoch 5/30][Iter: 870/1347]lr: 0.03717, CELoss: 2.59437, loss: 2.59437, batch_cost: 0.41293s, reader_cost: 0.03635, ips: 619.95430 images/sec, eta: 3:55:02 +[2022/05/18 18:32:46] ppcls INFO: [Train][Epoch 5/30][Iter: 880/1347]lr: 0.03723, CELoss: 2.59328, loss: 2.59328, batch_cost: 0.41346s, reader_cost: 0.03690, ips: 619.16956 images/sec, eta: 3:55:16 +[2022/05/18 18:32:50] ppcls INFO: [Train][Epoch 5/30][Iter: 890/1347]lr: 0.03729, CELoss: 2.59337, loss: 2.59337, batch_cost: 0.41321s, reader_cost: 0.03652, ips: 619.54302 images/sec, eta: 3:55:03 +[2022/05/18 18:32:54] ppcls INFO: [Train][Epoch 5/30][Iter: 900/1347]lr: 0.03735, CELoss: 2.59239, loss: 2.59239, batch_cost: 0.41309s, reader_cost: 0.03639, ips: 619.72702 images/sec, eta: 3:54:55 +[2022/05/18 18:32:58] ppcls INFO: [Train][Epoch 5/30][Iter: 910/1347]lr: 0.03741, CELoss: 2.59238, loss: 2.59238, batch_cost: 0.41299s, reader_cost: 0.03631, ips: 619.86922 images/sec, eta: 3:54:47 +[2022/05/18 18:33:02] ppcls INFO: [Train][Epoch 5/30][Iter: 920/1347]lr: 0.03747, CELoss: 2.59132, loss: 2.59132, batch_cost: 0.41284s, reader_cost: 0.03626, ips: 620.10013 images/sec, eta: 3:54:38 +[2022/05/18 18:33:06] ppcls INFO: [Train][Epoch 5/30][Iter: 930/1347]lr: 0.03753, CELoss: 2.58999, loss: 2.58999, batch_cost: 0.41249s, reader_cost: 0.03601, ips: 620.61904 images/sec, eta: 3:54:22 +[2022/05/18 18:33:10] ppcls INFO: [Train][Epoch 5/30][Iter: 940/1347]lr: 0.03759, CELoss: 2.59067, loss: 2.59067, batch_cost: 0.41235s, reader_cost: 0.03594, ips: 620.83572 images/sec, eta: 3:54:13 +[2022/05/18 18:33:14] ppcls INFO: [Train][Epoch 5/30][Iter: 950/1347]lr: 0.03765, CELoss: 2.59052, loss: 2.59052, batch_cost: 0.41216s, reader_cost: 0.03570, ips: 621.12143 images/sec, eta: 3:54:03 +[2022/05/18 18:33:18] ppcls INFO: [Train][Epoch 5/30][Iter: 960/1347]lr: 0.03771, CELoss: 2.58903, loss: 2.58903, batch_cost: 0.41215s, reader_cost: 0.03564, ips: 621.12627 images/sec, eta: 3:53:58 +[2022/05/18 18:33:22] ppcls INFO: [Train][Epoch 5/30][Iter: 970/1347]lr: 0.03777, CELoss: 2.58881, loss: 2.58881, batch_cost: 0.41190s, reader_cost: 0.03543, ips: 621.50501 images/sec, eta: 3:53:46 +[2022/05/18 18:33:26] ppcls INFO: [Train][Epoch 5/30][Iter: 980/1347]lr: 0.03783, CELoss: 2.58871, loss: 2.58871, batch_cost: 0.41178s, reader_cost: 0.03519, ips: 621.68624 images/sec, eta: 3:53:37 +[2022/05/18 18:33:29] ppcls INFO: [Train][Epoch 5/30][Iter: 990/1347]lr: 0.03789, CELoss: 2.58740, loss: 2.58740, batch_cost: 0.41142s, reader_cost: 0.03484, ips: 622.23511 images/sec, eta: 3:53:21 +[2022/05/18 18:33:33] ppcls INFO: [Train][Epoch 5/30][Iter: 1000/1347]lr: 0.03795, CELoss: 2.58666, loss: 2.58666, batch_cost: 0.41127s, reader_cost: 0.03473, ips: 622.46580 images/sec, eta: 3:53:12 +[2022/05/18 18:33:37] ppcls INFO: [Train][Epoch 5/30][Iter: 1010/1347]lr: 0.03800, CELoss: 2.58616, loss: 2.58616, batch_cost: 0.41113s, reader_cost: 0.03460, ips: 622.67567 images/sec, eta: 3:53:03 +[2022/05/18 18:33:41] ppcls INFO: [Train][Epoch 5/30][Iter: 1020/1347]lr: 0.03806, CELoss: 2.58538, loss: 2.58538, batch_cost: 0.41112s, reader_cost: 0.03460, ips: 622.69384 images/sec, eta: 3:52:58 +[2022/05/18 18:33:47] ppcls INFO: [Train][Epoch 5/30][Iter: 1030/1347]lr: 0.03812, CELoss: 2.58388, loss: 2.58388, batch_cost: 0.41214s, reader_cost: 0.03539, ips: 621.15481 images/sec, eta: 3:53:29 +[2022/05/18 18:33:51] ppcls INFO: [Train][Epoch 5/30][Iter: 1040/1347]lr: 0.03818, CELoss: 2.58371, loss: 2.58371, batch_cost: 0.41279s, reader_cost: 0.03601, ips: 620.17018 images/sec, eta: 3:53:47 +[2022/05/18 18:33:56] ppcls INFO: [Train][Epoch 5/30][Iter: 1050/1347]lr: 0.03824, CELoss: 2.58464, loss: 2.58464, batch_cost: 0.41293s, reader_cost: 0.03617, ips: 619.96307 images/sec, eta: 3:53:47 +[2022/05/18 18:34:00] ppcls INFO: [Train][Epoch 5/30][Iter: 1060/1347]lr: 0.03830, CELoss: 2.58265, loss: 2.58265, batch_cost: 0.41284s, reader_cost: 0.03610, ips: 620.10170 images/sec, eta: 3:53:40 +[2022/05/18 18:34:04] ppcls INFO: [Train][Epoch 5/30][Iter: 1070/1347]lr: 0.03836, CELoss: 2.58093, loss: 2.58093, batch_cost: 0.41290s, reader_cost: 0.03619, ips: 620.00985 images/sec, eta: 3:53:38 +[2022/05/18 18:34:08] ppcls INFO: [Train][Epoch 5/30][Iter: 1080/1347]lr: 0.03842, CELoss: 2.58177, loss: 2.58177, batch_cost: 0.41269s, reader_cost: 0.03606, ips: 620.32260 images/sec, eta: 3:53:27 +[2022/05/18 18:34:12] ppcls INFO: [Train][Epoch 5/30][Iter: 1090/1347]lr: 0.03848, CELoss: 2.58162, loss: 2.58162, batch_cost: 0.41270s, reader_cost: 0.03605, ips: 620.30850 images/sec, eta: 3:53:23 +[2022/05/18 18:34:16] ppcls INFO: [Train][Epoch 5/30][Iter: 1100/1347]lr: 0.03854, CELoss: 2.58104, loss: 2.58104, batch_cost: 0.41267s, reader_cost: 0.03604, ips: 620.34637 images/sec, eta: 3:53:18 +[2022/05/18 18:34:20] ppcls INFO: [Train][Epoch 5/30][Iter: 1110/1347]lr: 0.03860, CELoss: 2.58045, loss: 2.58045, batch_cost: 0.41292s, reader_cost: 0.03620, ips: 619.97674 images/sec, eta: 3:53:22 +[2022/05/18 18:34:24] ppcls INFO: [Train][Epoch 5/30][Iter: 1120/1347]lr: 0.03866, CELoss: 2.57877, loss: 2.57877, batch_cost: 0.41282s, reader_cost: 0.03613, ips: 620.12349 images/sec, eta: 3:53:15 +[2022/05/18 18:34:29] ppcls INFO: [Train][Epoch 5/30][Iter: 1130/1347]lr: 0.03872, CELoss: 2.57907, loss: 2.57907, batch_cost: 0.41295s, reader_cost: 0.03631, ips: 619.92432 images/sec, eta: 3:53:15 +[2022/05/18 18:34:33] ppcls INFO: [Train][Epoch 5/30][Iter: 1140/1347]lr: 0.03878, CELoss: 2.57875, loss: 2.57875, batch_cost: 0.41281s, reader_cost: 0.03615, ips: 620.14199 images/sec, eta: 3:53:06 +[2022/05/18 18:34:37] ppcls INFO: [Train][Epoch 5/30][Iter: 1150/1347]lr: 0.03884, CELoss: 2.57778, loss: 2.57778, batch_cost: 0.41273s, reader_cost: 0.03613, ips: 620.26622 images/sec, eta: 3:52:59 +[2022/05/18 18:34:41] ppcls INFO: [Train][Epoch 5/30][Iter: 1160/1347]lr: 0.03890, CELoss: 2.57716, loss: 2.57716, batch_cost: 0.41263s, reader_cost: 0.03607, ips: 620.40620 images/sec, eta: 3:52:52 +[2022/05/18 18:34:45] ppcls INFO: [Train][Epoch 5/30][Iter: 1170/1347]lr: 0.03895, CELoss: 2.57596, loss: 2.57596, batch_cost: 0.41253s, reader_cost: 0.03604, ips: 620.56261 images/sec, eta: 3:52:44 +[2022/05/18 18:34:49] ppcls INFO: [Train][Epoch 5/30][Iter: 1180/1347]lr: 0.03901, CELoss: 2.57496, loss: 2.57496, batch_cost: 0.41248s, reader_cost: 0.03599, ips: 620.64057 images/sec, eta: 3:52:39 +[2022/05/18 18:34:53] ppcls INFO: [Train][Epoch 5/30][Iter: 1190/1347]lr: 0.03907, CELoss: 2.57417, loss: 2.57417, batch_cost: 0.41271s, reader_cost: 0.03609, ips: 620.28535 images/sec, eta: 3:52:42 +[2022/05/18 18:34:58] ppcls INFO: [Train][Epoch 5/30][Iter: 1200/1347]lr: 0.03913, CELoss: 2.57459, loss: 2.57459, batch_cost: 0.41319s, reader_cost: 0.03634, ips: 619.57631 images/sec, eta: 3:52:54 +[2022/05/18 18:35:03] ppcls INFO: [Train][Epoch 5/30][Iter: 1210/1347]lr: 0.03919, CELoss: 2.57362, loss: 2.57362, batch_cost: 0.41379s, reader_cost: 0.03682, ips: 618.67512 images/sec, eta: 3:53:10 +[2022/05/18 18:35:07] ppcls INFO: [Train][Epoch 5/30][Iter: 1220/1347]lr: 0.03925, CELoss: 2.57316, loss: 2.57316, batch_cost: 0.41400s, reader_cost: 0.03695, ips: 618.35082 images/sec, eta: 3:53:14 +[2022/05/18 18:35:11] ppcls INFO: [Train][Epoch 5/30][Iter: 1230/1347]lr: 0.03931, CELoss: 2.57338, loss: 2.57338, batch_cost: 0.41400s, reader_cost: 0.03700, ips: 618.35211 images/sec, eta: 3:53:10 +[2022/05/18 18:35:15] ppcls INFO: [Train][Epoch 5/30][Iter: 1240/1347]lr: 0.03937, CELoss: 2.57305, loss: 2.57305, batch_cost: 0.41394s, reader_cost: 0.03694, ips: 618.44731 images/sec, eta: 3:53:03 +[2022/05/18 18:35:19] ppcls INFO: [Train][Epoch 5/30][Iter: 1250/1347]lr: 0.03943, CELoss: 2.57142, loss: 2.57142, batch_cost: 0.41391s, reader_cost: 0.03698, ips: 618.49810 images/sec, eta: 3:52:58 +[2022/05/18 18:35:24] ppcls INFO: [Train][Epoch 5/30][Iter: 1260/1347]lr: 0.03949, CELoss: 2.56969, loss: 2.56969, batch_cost: 0.41389s, reader_cost: 0.03690, ips: 618.52682 images/sec, eta: 3:52:53 +[2022/05/18 18:35:28] ppcls INFO: [Train][Epoch 5/30][Iter: 1270/1347]lr: 0.03955, CELoss: 2.56899, loss: 2.56899, batch_cost: 0.41374s, reader_cost: 0.03683, ips: 618.74497 images/sec, eta: 3:52:44 +[2022/05/18 18:35:32] ppcls INFO: [Train][Epoch 5/30][Iter: 1280/1347]lr: 0.03961, CELoss: 2.56835, loss: 2.56835, batch_cost: 0.41366s, reader_cost: 0.03675, ips: 618.87222 images/sec, eta: 3:52:37 +[2022/05/18 18:35:36] ppcls INFO: [Train][Epoch 5/30][Iter: 1290/1347]lr: 0.03967, CELoss: 2.56757, loss: 2.56757, batch_cost: 0.41355s, reader_cost: 0.03671, ips: 619.03537 images/sec, eta: 3:52:29 +[2022/05/18 18:35:39] ppcls INFO: [Train][Epoch 5/30][Iter: 1300/1347]lr: 0.03973, CELoss: 2.56735, loss: 2.56735, batch_cost: 0.41329s, reader_cost: 0.03654, ips: 619.41435 images/sec, eta: 3:52:17 +[2022/05/18 18:35:43] ppcls INFO: [Train][Epoch 5/30][Iter: 1310/1347]lr: 0.03979, CELoss: 2.56687, loss: 2.56687, batch_cost: 0.41308s, reader_cost: 0.03639, ips: 619.72844 images/sec, eta: 3:52:05 +[2022/05/18 18:35:47] ppcls INFO: [Train][Epoch 5/30][Iter: 1320/1347]lr: 0.03985, CELoss: 2.56604, loss: 2.56604, batch_cost: 0.41289s, reader_cost: 0.03626, ips: 620.01975 images/sec, eta: 3:51:55 +[2022/05/18 18:35:51] ppcls INFO: [Train][Epoch 5/30][Iter: 1330/1347]lr: 0.03990, CELoss: 2.56458, loss: 2.56458, batch_cost: 0.41266s, reader_cost: 0.03609, ips: 620.36281 images/sec, eta: 3:51:43 +[2022/05/18 18:35:55] ppcls INFO: [Train][Epoch 5/30][Iter: 1340/1347]lr: 0.03996, CELoss: 2.56318, loss: 2.56318, batch_cost: 0.41252s, reader_cost: 0.03594, ips: 620.58076 images/sec, eta: 3:51:34 +[2022/05/18 18:35:57] ppcls INFO: [Train][Epoch 5/30][Avg]CELoss: 2.56334, loss: 2.56334 +[2022/05/18 18:35:58] ppcls INFO: gallery feature calculation process: [0/617] +[2022/05/18 18:35:59] ppcls INFO: gallery feature calculation process: [10/617] +[2022/05/18 18:36:00] ppcls INFO: gallery feature calculation process: [20/617] +[2022/05/18 18:36:00] ppcls INFO: gallery feature calculation process: [30/617] +[2022/05/18 18:36:01] ppcls INFO: gallery feature calculation process: [40/617] +[2022/05/18 18:36:02] ppcls INFO: gallery feature calculation process: [50/617] +[2022/05/18 18:36:03] 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+[2022/05/18 18:37:38] ppcls INFO: Already save model in ./output/RecModel/epoch_5 +[2022/05/18 18:37:39] ppcls INFO: Already save model in ./output/RecModel/latest +[2022/05/18 18:37:41] ppcls INFO: [Train][Epoch 6/30][Iter: 0/1347]lr: 0.04000, CELoss: 2.27708, loss: 2.27708, batch_cost: 0.41371s, reader_cost: 0.03720, ips: 618.78762 images/sec, eta: 3:52:11 +[2022/05/18 18:37:45] ppcls INFO: [Train][Epoch 6/30][Iter: 10/1347]lr: 0.04000, CELoss: 2.21699, loss: 2.21699, batch_cost: 0.38980s, reader_cost: 0.01738, ips: 656.75329 images/sec, eta: 3:38:42 +[2022/05/18 18:37:49] ppcls INFO: [Train][Epoch 6/30][Iter: 20/1347]lr: 0.04000, CELoss: 2.26733, loss: 2.26733, batch_cost: 0.38603s, reader_cost: 0.01334, ips: 663.16596 images/sec, eta: 3:36:31 +[2022/05/18 18:37:53] ppcls INFO: [Train][Epoch 6/30][Iter: 30/1347]lr: 0.04000, CELoss: 2.33812, loss: 2.33812, batch_cost: 0.39212s, reader_cost: 0.02037, ips: 652.86610 images/sec, eta: 3:39:52 +[2022/05/18 18:37:57] ppcls INFO: [Train][Epoch 6/30][Iter: 40/1347]lr: 0.04000, CELoss: 2.33326, loss: 2.33326, batch_cost: 0.39372s, reader_cost: 0.02035, ips: 650.20955 images/sec, eta: 3:40:42 +[2022/05/18 18:38:01] ppcls INFO: [Train][Epoch 6/30][Iter: 50/1347]lr: 0.04000, CELoss: 2.33998, loss: 2.33998, batch_cost: 0.39771s, reader_cost: 0.02325, ips: 643.68951 images/sec, eta: 3:42:52 +[2022/05/18 18:38:05] ppcls INFO: [Train][Epoch 6/30][Iter: 60/1347]lr: 0.04000, CELoss: 2.34656, loss: 2.34656, batch_cost: 0.39772s, reader_cost: 0.02332, ips: 643.66214 images/sec, eta: 3:42:49 +[2022/05/18 18:38:09] ppcls INFO: [Train][Epoch 6/30][Iter: 70/1347]lr: 0.04000, CELoss: 2.34232, loss: 2.34232, batch_cost: 0.40121s, reader_cost: 0.02702, ips: 638.06313 images/sec, eta: 3:44:42 +[2022/05/18 18:38:13] ppcls INFO: [Train][Epoch 6/30][Iter: 80/1347]lr: 0.04000, CELoss: 2.34390, loss: 2.34390, batch_cost: 0.40468s, reader_cost: 0.03036, ips: 632.59082 images/sec, eta: 3:46:35 +[2022/05/18 18:38:17] ppcls INFO: [Train][Epoch 6/30][Iter: 90/1347]lr: 0.04000, CELoss: 2.34423, loss: 2.34423, batch_cost: 0.40485s, reader_cost: 0.03126, ips: 632.33255 images/sec, eta: 3:46:36 +[2022/05/18 18:38:21] ppcls INFO: [Train][Epoch 6/30][Iter: 100/1347]lr: 0.04000, CELoss: 2.34782, loss: 2.34782, batch_cost: 0.40340s, reader_cost: 0.02949, ips: 634.61198 images/sec, eta: 3:45:44 +[2022/05/18 18:38:25] ppcls INFO: [Train][Epoch 6/30][Iter: 110/1347]lr: 0.04000, CELoss: 2.34693, loss: 2.34693, batch_cost: 0.40326s, reader_cost: 0.02932, ips: 634.82539 images/sec, eta: 3:45:35 +[2022/05/18 18:38:29] ppcls INFO: [Train][Epoch 6/30][Iter: 120/1347]lr: 0.04000, CELoss: 2.34065, loss: 2.34065, batch_cost: 0.40383s, reader_cost: 0.02932, ips: 633.92645 images/sec, eta: 3:45:50 +[2022/05/18 18:38:34] ppcls INFO: [Train][Epoch 6/30][Iter: 130/1347]lr: 0.04000, CELoss: 2.33534, loss: 2.33534, batch_cost: 0.41226s, reader_cost: 0.03593, ips: 620.96889 images/sec, eta: 3:50:29 +[2022/05/18 18:38:39] ppcls INFO: [Train][Epoch 6/30][Iter: 140/1347]lr: 0.04000, CELoss: 2.33702, loss: 2.33702, batch_cost: 0.41501s, reader_cost: 0.03741, ips: 616.85209 images/sec, eta: 3:51:57 +[2022/05/18 18:38:44] ppcls INFO: [Train][Epoch 6/30][Iter: 150/1347]lr: 0.04000, CELoss: 2.34256, loss: 2.34256, batch_cost: 0.41921s, reader_cost: 0.04047, ips: 610.67034 images/sec, eta: 3:54:14 +[2022/05/18 18:38:48] ppcls INFO: [Train][Epoch 6/30][Iter: 160/1347]lr: 0.04000, CELoss: 2.33659, loss: 2.33659, batch_cost: 0.41772s, reader_cost: 0.03980, ips: 612.85505 images/sec, eta: 3:53:19 +[2022/05/18 18:38:52] ppcls INFO: [Train][Epoch 6/30][Iter: 170/1347]lr: 0.04000, CELoss: 2.33575, loss: 2.33575, batch_cost: 0.41657s, reader_cost: 0.03888, ips: 614.54260 images/sec, eta: 3:52:37 +[2022/05/18 18:38:56] ppcls INFO: [Train][Epoch 6/30][Iter: 180/1347]lr: 0.04000, CELoss: 2.33617, loss: 2.33617, batch_cost: 0.41822s, reader_cost: 0.04055, ips: 612.11455 images/sec, eta: 3:53:28 +[2022/05/18 18:39:00] ppcls INFO: 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[Train][Epoch 6/30][Iter: 290/1347]lr: 0.03999, CELoss: 2.35155, loss: 2.35155, batch_cost: 0.41221s, reader_cost: 0.03481, ips: 621.04789 images/sec, eta: 3:49:21 +[2022/05/18 18:39:44] ppcls INFO: [Train][Epoch 6/30][Iter: 300/1347]lr: 0.03999, CELoss: 2.35379, loss: 2.35379, batch_cost: 0.41199s, reader_cost: 0.03466, ips: 621.37707 images/sec, eta: 3:49:10 +[2022/05/18 18:39:49] ppcls INFO: [Train][Epoch 6/30][Iter: 310/1347]lr: 0.03999, CELoss: 2.35481, loss: 2.35481, batch_cost: 0.41251s, reader_cost: 0.03497, ips: 620.59573 images/sec, eta: 3:49:23 +[2022/05/18 18:39:53] ppcls INFO: [Train][Epoch 6/30][Iter: 320/1347]lr: 0.03999, CELoss: 2.35525, loss: 2.35525, batch_cost: 0.41432s, reader_cost: 0.03651, ips: 617.88108 images/sec, eta: 3:50:19 +[2022/05/18 18:39:58] ppcls INFO: [Train][Epoch 6/30][Iter: 330/1347]lr: 0.03999, CELoss: 2.35807, loss: 2.35807, batch_cost: 0.41499s, reader_cost: 0.03713, ips: 616.88904 images/sec, eta: 3:50:37 +[2022/05/18 18:40:02] ppcls INFO: 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[Train][Epoch 6/30][Iter: 590/1347]lr: 0.03997, CELoss: 2.35490, loss: 2.35490, batch_cost: 0.41312s, reader_cost: 0.03596, ips: 619.67995 images/sec, eta: 3:47:47 +[2022/05/18 18:41:49] ppcls INFO: [Train][Epoch 6/30][Iter: 600/1347]lr: 0.03997, CELoss: 2.35414, loss: 2.35414, batch_cost: 0.41273s, reader_cost: 0.03561, ips: 620.26241 images/sec, eta: 3:47:30 +[2022/05/18 18:41:53] ppcls INFO: [Train][Epoch 6/30][Iter: 610/1347]lr: 0.03997, CELoss: 2.35446, loss: 2.35446, batch_cost: 0.41252s, reader_cost: 0.03544, ips: 620.57464 images/sec, eta: 3:47:20 +[2022/05/18 18:41:57] ppcls INFO: [Train][Epoch 6/30][Iter: 620/1347]lr: 0.03997, CELoss: 2.35239, loss: 2.35239, batch_cost: 0.41241s, reader_cost: 0.03541, ips: 620.73668 images/sec, eta: 3:47:12 +[2022/05/18 18:42:01] ppcls INFO: [Train][Epoch 6/30][Iter: 630/1347]lr: 0.03997, CELoss: 2.35287, loss: 2.35287, batch_cost: 0.41211s, reader_cost: 0.03508, ips: 621.18617 images/sec, eta: 3:46:58 +[2022/05/18 18:42:04] ppcls INFO: [Train][Epoch 6/30][Iter: 640/1347]lr: 0.03996, CELoss: 2.35173, loss: 2.35173, batch_cost: 0.41171s, reader_cost: 0.03477, ips: 621.79578 images/sec, eta: 3:46:40 +[2022/05/18 18:42:08] ppcls INFO: [Train][Epoch 6/30][Iter: 650/1347]lr: 0.03996, CELoss: 2.35043, loss: 2.35043, batch_cost: 0.41156s, reader_cost: 0.03465, ips: 622.02959 images/sec, eta: 3:46:31 +[2022/05/18 18:42:12] ppcls INFO: [Train][Epoch 6/30][Iter: 660/1347]lr: 0.03996, CELoss: 2.35038, loss: 2.35038, batch_cost: 0.41134s, reader_cost: 0.03437, ips: 622.35830 images/sec, eta: 3:46:20 +[2022/05/18 18:42:18] ppcls INFO: [Train][Epoch 6/30][Iter: 670/1347]lr: 0.03996, CELoss: 2.35128, loss: 2.35128, batch_cost: 0.41292s, reader_cost: 0.03590, ips: 619.97838 images/sec, eta: 3:47:08 +[2022/05/18 18:42:22] ppcls INFO: [Train][Epoch 6/30][Iter: 680/1347]lr: 0.03996, CELoss: 2.34876, loss: 2.34876, batch_cost: 0.41343s, reader_cost: 0.03623, ips: 619.21572 images/sec, eta: 3:47:20 +[2022/05/18 18:42:27] ppcls INFO: [Train][Epoch 6/30][Iter: 690/1347]lr: 0.03996, CELoss: 2.35016, loss: 2.35016, batch_cost: 0.41390s, reader_cost: 0.03664, ips: 618.50547 images/sec, eta: 3:47:32 +[2022/05/18 18:42:30] ppcls INFO: [Train][Epoch 6/30][Iter: 700/1347]lr: 0.03996, CELoss: 2.34954, loss: 2.34954, batch_cost: 0.41342s, reader_cost: 0.03632, ips: 619.22276 images/sec, eta: 3:47:12 +[2022/05/18 18:42:34] ppcls INFO: [Train][Epoch 6/30][Iter: 710/1347]lr: 0.03996, CELoss: 2.35034, loss: 2.35034, batch_cost: 0.41336s, reader_cost: 0.03626, ips: 619.30939 images/sec, eta: 3:47:06 +[2022/05/18 18:42:38] ppcls INFO: [Train][Epoch 6/30][Iter: 720/1347]lr: 0.03995, CELoss: 2.34869, loss: 2.34869, batch_cost: 0.41304s, reader_cost: 0.03600, ips: 619.79203 images/sec, eta: 3:46:51 +[2022/05/18 18:42:42] ppcls INFO: [Train][Epoch 6/30][Iter: 730/1347]lr: 0.03995, CELoss: 2.34861, loss: 2.34861, batch_cost: 0.41299s, reader_cost: 0.03603, ips: 619.86412 images/sec, eta: 3:46:46 +[2022/05/18 18:42:46] ppcls INFO: [Train][Epoch 6/30][Iter: 740/1347]lr: 0.03995, CELoss: 2.34854, loss: 2.34854, batch_cost: 0.41288s, reader_cost: 0.03595, ips: 620.04199 images/sec, eta: 3:46:38 +[2022/05/18 18:42:51] ppcls INFO: [Train][Epoch 6/30][Iter: 750/1347]lr: 0.03995, CELoss: 2.34706, loss: 2.34706, batch_cost: 0.41288s, reader_cost: 0.03599, ips: 620.03023 images/sec, eta: 3:46:34 +[2022/05/18 18:42:54] ppcls INFO: [Train][Epoch 6/30][Iter: 760/1347]lr: 0.03995, CELoss: 2.34711, loss: 2.34711, batch_cost: 0.41249s, reader_cost: 0.03571, ips: 620.62575 images/sec, eta: 3:46:17 +[2022/05/18 18:42:58] ppcls INFO: [Train][Epoch 6/30][Iter: 770/1347]lr: 0.03995, CELoss: 2.34565, loss: 2.34565, batch_cost: 0.41237s, reader_cost: 0.03564, ips: 620.80547 images/sec, eta: 3:46:08 +[2022/05/18 18:43:02] ppcls INFO: [Train][Epoch 6/30][Iter: 780/1347]lr: 0.03995, CELoss: 2.34551, loss: 2.34551, batch_cost: 0.41190s, reader_cost: 0.03519, ips: 621.50551 images/sec, eta: 3:45:49 +[2022/05/18 18:43:06] ppcls INFO: [Train][Epoch 6/30][Iter: 790/1347]lr: 0.03995, CELoss: 2.34477, loss: 2.34477, batch_cost: 0.41174s, reader_cost: 0.03511, ips: 621.74853 images/sec, eta: 3:45:40 +[2022/05/18 18:43:10] ppcls INFO: [Train][Epoch 6/30][Iter: 800/1347]lr: 0.03994, CELoss: 2.34474, loss: 2.34474, batch_cost: 0.41160s, reader_cost: 0.03500, ips: 621.96314 images/sec, eta: 3:45:31 +[2022/05/18 18:43:14] ppcls INFO: [Train][Epoch 6/30][Iter: 810/1347]lr: 0.03994, CELoss: 2.34355, loss: 2.34355, batch_cost: 0.41145s, reader_cost: 0.03492, ips: 622.19118 images/sec, eta: 3:45:22 +[2022/05/18 18:43:18] ppcls INFO: [Train][Epoch 6/30][Iter: 820/1347]lr: 0.03994, CELoss: 2.34486, loss: 2.34486, batch_cost: 0.41136s, reader_cost: 0.03478, ips: 622.32262 images/sec, eta: 3:45:15 +[2022/05/18 18:43:22] ppcls INFO: [Train][Epoch 6/30][Iter: 830/1347]lr: 0.03994, CELoss: 2.34474, loss: 2.34474, batch_cost: 0.41141s, reader_cost: 0.03474, ips: 622.24642 images/sec, eta: 3:45:12 +[2022/05/18 18:43:26] ppcls INFO: [Train][Epoch 6/30][Iter: 840/1347]lr: 0.03994, CELoss: 2.34498, loss: 2.34498, batch_cost: 0.41121s, reader_cost: 0.03454, ips: 622.55805 images/sec, eta: 3:45:01 +[2022/05/18 18:43:31] ppcls INFO: [Train][Epoch 6/30][Iter: 850/1347]lr: 0.03994, CELoss: 2.34533, loss: 2.34533, batch_cost: 0.41173s, reader_cost: 0.03499, ips: 621.76351 images/sec, eta: 3:45:15 +[2022/05/18 18:43:35] ppcls INFO: [Train][Epoch 6/30][Iter: 860/1347]lr: 0.03994, CELoss: 2.34412, loss: 2.34412, batch_cost: 0.41223s, reader_cost: 0.03530, ips: 621.01457 images/sec, eta: 3:45:27 +[2022/05/18 18:43:40] ppcls INFO: [Train][Epoch 6/30][Iter: 870/1347]lr: 0.03993, CELoss: 2.34504, loss: 2.34504, batch_cost: 0.41266s, reader_cost: 0.03564, ips: 620.36421 images/sec, eta: 3:45:37 +[2022/05/18 18:43:44] ppcls INFO: [Train][Epoch 6/30][Iter: 880/1347]lr: 0.03993, CELoss: 2.34297, loss: 2.34297, batch_cost: 0.41285s, reader_cost: 0.03571, ips: 620.07421 images/sec, eta: 3:45:39 +[2022/05/18 18:43:48] ppcls INFO: [Train][Epoch 6/30][Iter: 890/1347]lr: 0.03993, CELoss: 2.34317, loss: 2.34317, batch_cost: 0.41263s, reader_cost: 0.03559, ips: 620.40996 images/sec, eta: 3:45:28 +[2022/05/18 18:43:52] ppcls INFO: [Train][Epoch 6/30][Iter: 900/1347]lr: 0.03993, CELoss: 2.34196, loss: 2.34196, batch_cost: 0.41257s, reader_cost: 0.03548, ips: 620.49847 images/sec, eta: 3:45:22 +[2022/05/18 18:43:56] ppcls INFO: [Train][Epoch 6/30][Iter: 910/1347]lr: 0.03993, CELoss: 2.34079, loss: 2.34079, batch_cost: 0.41247s, reader_cost: 0.03539, ips: 620.64687 images/sec, eta: 3:45:14 +[2022/05/18 18:44:00] ppcls INFO: [Train][Epoch 6/30][Iter: 920/1347]lr: 0.03993, CELoss: 2.34008, loss: 2.34008, batch_cost: 0.41219s, reader_cost: 0.03514, ips: 621.07783 images/sec, eta: 3:45:01 +[2022/05/18 18:44:04] ppcls INFO: [Train][Epoch 6/30][Iter: 930/1347]lr: 0.03992, CELoss: 2.33915, loss: 2.33915, batch_cost: 0.41212s, reader_cost: 0.03517, ips: 621.18505 images/sec, eta: 3:44:54 +[2022/05/18 18:44:08] ppcls INFO: [Train][Epoch 6/30][Iter: 940/1347]lr: 0.03992, CELoss: 2.33847, loss: 2.33847, batch_cost: 0.41178s, reader_cost: 0.03496, ips: 621.69350 images/sec, eta: 3:44:39 +[2022/05/18 18:44:12] ppcls INFO: [Train][Epoch 6/30][Iter: 950/1347]lr: 0.03992, CELoss: 2.33783, loss: 2.33783, batch_cost: 0.41171s, reader_cost: 0.03488, ips: 621.78993 images/sec, eta: 3:44:33 +[2022/05/18 18:44:16] ppcls INFO: [Train][Epoch 6/30][Iter: 960/1347]lr: 0.03992, CELoss: 2.33579, loss: 2.33579, batch_cost: 0.41146s, reader_cost: 0.03469, ips: 622.16878 images/sec, eta: 3:44:21 +[2022/05/18 18:44:20] ppcls INFO: [Train][Epoch 6/30][Iter: 970/1347]lr: 0.03992, CELoss: 2.33401, loss: 2.33401, batch_cost: 0.41117s, reader_cost: 0.03451, ips: 622.61666 images/sec, eta: 3:44:07 +[2022/05/18 18:44:24] ppcls INFO: [Train][Epoch 6/30][Iter: 980/1347]lr: 0.03992, CELoss: 2.33264, loss: 2.33264, batch_cost: 0.41119s, reader_cost: 0.03443, ips: 622.58012 images/sec, eta: 3:44:03 +[2022/05/18 18:44:28] ppcls INFO: [Train][Epoch 6/30][Iter: 990/1347]lr: 0.03991, CELoss: 2.33201, loss: 2.33201, batch_cost: 0.41105s, reader_cost: 0.03441, ips: 622.78890 images/sec, eta: 3:43:55 +[2022/05/18 18:44:32] ppcls INFO: [Train][Epoch 6/30][Iter: 1000/1347]lr: 0.03991, CELoss: 2.33121, loss: 2.33121, batch_cost: 0.41067s, reader_cost: 0.03412, ips: 623.37793 images/sec, eta: 3:43:38 +[2022/05/18 18:44:36] ppcls INFO: [Train][Epoch 6/30][Iter: 1010/1347]lr: 0.03991, CELoss: 2.33079, loss: 2.33079, batch_cost: 0.41052s, reader_cost: 0.03396, ips: 623.60133 images/sec, eta: 3:43:29 +[2022/05/18 18:44:40] ppcls INFO: [Train][Epoch 6/30][Iter: 1020/1347]lr: 0.03991, CELoss: 2.33028, loss: 2.33028, batch_cost: 0.41049s, reader_cost: 0.03393, ips: 623.64764 images/sec, eta: 3:43:24 +[2022/05/18 18:44:45] ppcls INFO: [Train][Epoch 6/30][Iter: 1030/1347]lr: 0.03991, CELoss: 2.32844, loss: 2.32844, batch_cost: 0.41122s, reader_cost: 0.03452, ips: 622.53699 images/sec, eta: 3:43:44 +[2022/05/18 18:44:50] ppcls INFO: [Train][Epoch 6/30][Iter: 1040/1347]lr: 0.03991, CELoss: 2.32866, loss: 2.32866, batch_cost: 0.41208s, reader_cost: 0.03526, ips: 621.23666 images/sec, eta: 3:44:08 +[2022/05/18 18:44:54] ppcls INFO: [Train][Epoch 6/30][Iter: 1050/1347]lr: 0.03990, CELoss: 2.32851, loss: 2.32851, batch_cost: 0.41244s, reader_cost: 0.03558, ips: 620.69779 images/sec, eta: 3:44:15 +[2022/05/18 18:44:58] ppcls INFO: [Train][Epoch 6/30][Iter: 1060/1347]lr: 0.03990, CELoss: 2.32757, loss: 2.32757, batch_cost: 0.41233s, reader_cost: 0.03552, ips: 620.86579 images/sec, eta: 3:44:08 +[2022/05/18 18:45:02] ppcls INFO: [Train][Epoch 6/30][Iter: 1070/1347]lr: 0.03990, CELoss: 2.32783, loss: 2.32783, batch_cost: 0.41198s, reader_cost: 0.03521, ips: 621.38545 images/sec, eta: 3:43:52 +[2022/05/18 18:45:06] ppcls INFO: [Train][Epoch 6/30][Iter: 1080/1347]lr: 0.03990, CELoss: 2.32543, loss: 2.32543, batch_cost: 0.41186s, reader_cost: 0.03514, ips: 621.57295 images/sec, eta: 3:43:44 +[2022/05/18 18:45:10] ppcls INFO: [Train][Epoch 6/30][Iter: 1090/1347]lr: 0.03990, CELoss: 2.32501, loss: 2.32501, batch_cost: 0.41170s, reader_cost: 0.03496, ips: 621.80980 images/sec, eta: 3:43:35 +[2022/05/18 18:45:14] ppcls INFO: [Train][Epoch 6/30][Iter: 1100/1347]lr: 0.03989, CELoss: 2.32481, loss: 2.32481, batch_cost: 0.41142s, reader_cost: 0.03465, ips: 622.23640 images/sec, eta: 3:43:21 +[2022/05/18 18:45:17] ppcls INFO: [Train][Epoch 6/30][Iter: 1110/1347]lr: 0.03989, CELoss: 2.32471, loss: 2.32471, batch_cost: 0.41122s, reader_cost: 0.03447, ips: 622.53258 images/sec, eta: 3:43:11 +[2022/05/18 18:45:21] ppcls INFO: [Train][Epoch 6/30][Iter: 1120/1347]lr: 0.03989, CELoss: 2.32397, loss: 2.32397, batch_cost: 0.41085s, reader_cost: 0.03417, ips: 623.09287 images/sec, eta: 3:42:55 +[2022/05/18 18:45:25] ppcls INFO: [Train][Epoch 6/30][Iter: 1130/1347]lr: 0.03989, CELoss: 2.32386, loss: 2.32386, batch_cost: 0.41084s, reader_cost: 0.03417, ips: 623.11433 images/sec, eta: 3:42:50 +[2022/05/18 18:45:29] ppcls INFO: 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[Train][Epoch 6/30][Iter: 1190/1347]lr: 0.03988, CELoss: 2.32065, loss: 2.32065, batch_cost: 0.40988s, reader_cost: 0.03347, ips: 624.56763 images/sec, eta: 3:41:55 +[2022/05/18 18:45:53] ppcls INFO: [Train][Epoch 6/30][Iter: 1200/1347]lr: 0.03987, CELoss: 2.32034, loss: 2.32034, batch_cost: 0.40968s, reader_cost: 0.03320, ips: 624.87529 images/sec, eta: 3:41:44 +[2022/05/18 18:45:58] ppcls INFO: [Train][Epoch 6/30][Iter: 1210/1347]lr: 0.03987, CELoss: 2.32065, loss: 2.32065, batch_cost: 0.41080s, reader_cost: 0.03408, ips: 623.17815 images/sec, eta: 3:42:16 +[2022/05/18 18:46:03] ppcls INFO: [Train][Epoch 6/30][Iter: 1220/1347]lr: 0.03987, CELoss: 2.31822, loss: 2.31822, batch_cost: 0.41137s, reader_cost: 0.03433, ips: 622.31578 images/sec, eta: 3:42:30 +[2022/05/18 18:46:07] ppcls INFO: [Train][Epoch 6/30][Iter: 1230/1347]lr: 0.03987, CELoss: 2.31778, loss: 2.31778, batch_cost: 0.41170s, reader_cost: 0.03462, ips: 621.81681 images/sec, eta: 3:42:37 +[2022/05/18 18:46:12] ppcls INFO: [Train][Epoch 6/30][Iter: 1240/1347]lr: 0.03987, CELoss: 2.31674, loss: 2.31674, batch_cost: 0.41169s, reader_cost: 0.03455, ips: 621.82788 images/sec, eta: 3:42:33 +[2022/05/18 18:46:15] ppcls INFO: [Train][Epoch 6/30][Iter: 1250/1347]lr: 0.03986, CELoss: 2.31650, loss: 2.31650, batch_cost: 0.41154s, reader_cost: 0.03442, ips: 622.05808 images/sec, eta: 3:42:24 +[2022/05/18 18:46:19] ppcls INFO: [Train][Epoch 6/30][Iter: 1260/1347]lr: 0.03986, CELoss: 2.31602, loss: 2.31602, batch_cost: 0.41148s, reader_cost: 0.03438, ips: 622.14480 images/sec, eta: 3:42:18 +[2022/05/18 18:46:23] ppcls INFO: [Train][Epoch 6/30][Iter: 1270/1347]lr: 0.03986, CELoss: 2.31531, loss: 2.31531, batch_cost: 0.41131s, reader_cost: 0.03423, ips: 622.40242 images/sec, eta: 3:42:08 +[2022/05/18 18:46:27] ppcls INFO: [Train][Epoch 6/30][Iter: 1280/1347]lr: 0.03986, CELoss: 2.31424, loss: 2.31424, batch_cost: 0.41122s, reader_cost: 0.03418, ips: 622.53995 images/sec, eta: 3:42:01 +[2022/05/18 18:46:32] ppcls INFO: [Train][Epoch 6/30][Iter: 1290/1347]lr: 0.03986, CELoss: 2.31366, loss: 2.31366, batch_cost: 0.41128s, reader_cost: 0.03423, ips: 622.44187 images/sec, eta: 3:41:59 +[2022/05/18 18:46:36] ppcls INFO: [Train][Epoch 6/30][Iter: 1300/1347]lr: 0.03985, CELoss: 2.31230, loss: 2.31230, batch_cost: 0.41117s, reader_cost: 0.03417, ips: 622.61634 images/sec, eta: 3:41:51 +[2022/05/18 18:46:39] ppcls INFO: [Train][Epoch 6/30][Iter: 1310/1347]lr: 0.03985, CELoss: 2.31217, loss: 2.31217, batch_cost: 0.41100s, reader_cost: 0.03401, ips: 622.86435 images/sec, eta: 3:41:42 +[2022/05/18 18:46:43] ppcls INFO: [Train][Epoch 6/30][Iter: 1320/1347]lr: 0.03985, CELoss: 2.31042, loss: 2.31042, batch_cost: 0.41092s, reader_cost: 0.03394, ips: 622.98764 images/sec, eta: 3:41:35 +[2022/05/18 18:46:47] ppcls INFO: [Train][Epoch 6/30][Iter: 1330/1347]lr: 0.03985, CELoss: 2.30919, loss: 2.30919, batch_cost: 0.41076s, reader_cost: 0.03383, ips: 623.23255 images/sec, eta: 3:41:26 +[2022/05/18 18:46:51] ppcls INFO: [Train][Epoch 6/30][Iter: 1340/1347]lr: 0.03984, CELoss: 2.31079, loss: 2.31079, batch_cost: 0.41056s, reader_cost: 0.03371, ips: 623.53391 images/sec, eta: 3:41:15 +[2022/05/18 18:46:54] ppcls INFO: [Train][Epoch 6/30][Avg]CELoss: 2.31070, loss: 2.31070 +[2022/05/18 18:46:55] ppcls INFO: gallery feature calculation process: [0/617] +[2022/05/18 18:46:55] ppcls INFO: gallery feature calculation process: [10/617] +[2022/05/18 18:46:56] ppcls INFO: gallery feature calculation process: [20/617] +[2022/05/18 18:46:57] ppcls INFO: gallery feature calculation process: [30/617] +[2022/05/18 18:46:58] ppcls INFO: gallery feature calculation process: [40/617] +[2022/05/18 18:46:58] ppcls INFO: gallery feature calculation process: [50/617] +[2022/05/18 18:46:59] ppcls INFO: gallery feature calculation process: [60/617] +[2022/05/18 18:47:00] ppcls INFO: gallery feature calculation process: [70/617] +[2022/05/18 18:47:01] ppcls INFO: gallery feature calculation process: [80/617] +[2022/05/18 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INFO: gallery feature calculation process: [210/617] +[2022/05/18 18:47:13] ppcls INFO: gallery feature calculation process: [220/617] +[2022/05/18 18:47:14] ppcls INFO: gallery feature calculation process: [230/617] +[2022/05/18 18:47:15] ppcls INFO: gallery feature calculation process: [240/617] +[2022/05/18 18:47:15] ppcls INFO: gallery feature calculation process: [250/617] +[2022/05/18 18:47:16] ppcls INFO: gallery feature calculation process: [260/617] +[2022/05/18 18:47:17] ppcls INFO: gallery feature calculation process: [270/617] +[2022/05/18 18:47:18] ppcls INFO: gallery feature calculation process: [280/617] +[2022/05/18 18:47:19] ppcls INFO: gallery feature calculation process: [290/617] +[2022/05/18 18:47:19] ppcls INFO: gallery feature calculation process: [300/617] +[2022/05/18 18:47:20] ppcls INFO: gallery feature calculation process: [310/617] +[2022/05/18 18:47:21] ppcls INFO: gallery feature calculation process: [320/617] +[2022/05/18 18:47:22] ppcls INFO: gallery feature calculation process: [330/617] +[2022/05/18 18:47:22] ppcls INFO: gallery feature calculation process: [340/617] +[2022/05/18 18:47:23] ppcls INFO: gallery feature calculation process: [350/617] +[2022/05/18 18:47:24] ppcls INFO: gallery feature calculation process: [360/617] +[2022/05/18 18:47:25] ppcls INFO: gallery feature calculation process: [370/617] +[2022/05/18 18:47:25] ppcls INFO: gallery feature calculation process: [380/617] +[2022/05/18 18:47:26] ppcls INFO: gallery feature calculation process: [390/617] +[2022/05/18 18:47:27] ppcls INFO: gallery feature calculation process: [400/617] +[2022/05/18 18:47:27] ppcls INFO: gallery feature calculation process: [410/617] +[2022/05/18 18:47:28] ppcls INFO: gallery feature calculation process: [420/617] +[2022/05/18 18:47:29] ppcls INFO: gallery feature calculation process: [430/617] +[2022/05/18 18:47:30] ppcls INFO: gallery feature calculation process: [440/617] +[2022/05/18 18:47:30] ppcls INFO: gallery feature calculation process: [450/617] +[2022/05/18 18:47:31] ppcls INFO: gallery feature calculation process: [460/617] +[2022/05/18 18:47:32] ppcls INFO: gallery feature calculation process: [470/617] +[2022/05/18 18:47:33] ppcls INFO: gallery feature calculation process: [480/617] +[2022/05/18 18:47:34] ppcls INFO: gallery feature calculation process: [490/617] +[2022/05/18 18:47:34] ppcls INFO: gallery feature calculation process: [500/617] +[2022/05/18 18:47:35] ppcls INFO: gallery feature calculation process: [510/617] +[2022/05/18 18:47:36] ppcls INFO: gallery feature calculation process: [520/617] +[2022/05/18 18:47:37] ppcls INFO: gallery feature calculation process: [530/617] +[2022/05/18 18:47:37] ppcls INFO: gallery feature calculation process: [540/617] +[2022/05/18 18:47:38] ppcls INFO: gallery feature calculation process: [550/617] +[2022/05/18 18:47:39] ppcls INFO: gallery feature calculation process: [560/617] +[2022/05/18 18:47:40] ppcls INFO: gallery feature calculation process: [570/617] +[2022/05/18 18:47:40] ppcls INFO: gallery feature calculation process: [580/617] +[2022/05/18 18:47:41] ppcls INFO: gallery feature calculation process: [590/617] +[2022/05/18 18:47:42] ppcls INFO: gallery feature calculation process: [600/617] +[2022/05/18 18:47:42] ppcls INFO: gallery feature calculation process: [610/617] +[2022/05/18 18:47:43] ppcls INFO: Build gallery done, all feat shape: [39457, 1280], begin to eval.. +[2022/05/18 18:47:44] ppcls INFO: query feature calculation process: [0/617] +[2022/05/18 18:47:44] ppcls INFO: query feature calculation process: [10/617] +[2022/05/18 18:47:45] ppcls INFO: query feature calculation process: [20/617] +[2022/05/18 18:47:46] ppcls INFO: query feature calculation process: [30/617] +[2022/05/18 18:47:47] ppcls INFO: query feature calculation process: [40/617] +[2022/05/18 18:47:47] ppcls INFO: query feature calculation process: [50/617] +[2022/05/18 18:47:48] ppcls INFO: query feature calculation process: [60/617] +[2022/05/18 18:47:49] ppcls INFO: query feature calculation process: [70/617] +[2022/05/18 18:47:50] ppcls INFO: query feature calculation process: [80/617] +[2022/05/18 18:47:50] ppcls INFO: query feature calculation process: [90/617] +[2022/05/18 18:47:51] ppcls INFO: query feature calculation process: [100/617] +[2022/05/18 18:47:52] ppcls INFO: query feature calculation process: [110/617] +[2022/05/18 18:47:52] ppcls INFO: query feature calculation process: [120/617] +[2022/05/18 18:47:53] ppcls INFO: query feature calculation process: [130/617] +[2022/05/18 18:47:54] ppcls INFO: query feature calculation process: [140/617] +[2022/05/18 18:47:55] ppcls INFO: query feature calculation process: [150/617] +[2022/05/18 18:47:55] ppcls INFO: query feature calculation process: [160/617] +[2022/05/18 18:47:56] ppcls INFO: query feature calculation process: [170/617] +[2022/05/18 18:47:57] ppcls INFO: query feature calculation process: [180/617] +[2022/05/18 18:47:58] ppcls INFO: query feature calculation process: [190/617] +[2022/05/18 18:47:58] ppcls INFO: query feature calculation process: [200/617] +[2022/05/18 18:47:59] ppcls INFO: query feature calculation process: [210/617] +[2022/05/18 18:48:00] ppcls INFO: query feature calculation process: [220/617] +[2022/05/18 18:48:01] ppcls INFO: query feature calculation process: [230/617] +[2022/05/18 18:48:01] ppcls INFO: query feature calculation process: [240/617] +[2022/05/18 18:48:02] ppcls INFO: query feature calculation process: [250/617] +[2022/05/18 18:48:03] ppcls INFO: query feature calculation process: [260/617] +[2022/05/18 18:48:04] ppcls INFO: query feature calculation process: [270/617] +[2022/05/18 18:48:04] ppcls INFO: query feature calculation process: [280/617] +[2022/05/18 18:48:06] ppcls INFO: query feature calculation process: [290/617] +[2022/05/18 18:48:06] ppcls INFO: query feature calculation process: [300/617] +[2022/05/18 18:48:07] ppcls INFO: query feature calculation process: [310/617] +[2022/05/18 18:48:08] ppcls INFO: query feature calculation process: [320/617] +[2022/05/18 18:48:09] ppcls INFO: query feature calculation process: [330/617] +[2022/05/18 18:48:09] ppcls INFO: query feature calculation process: [340/617] +[2022/05/18 18:48:10] ppcls INFO: query feature calculation process: [350/617] +[2022/05/18 18:48:11] ppcls INFO: query feature calculation process: [360/617] +[2022/05/18 18:48:12] ppcls INFO: query feature calculation process: [370/617] +[2022/05/18 18:48:12] ppcls INFO: query feature calculation process: [380/617] +[2022/05/18 18:48:13] ppcls INFO: query feature calculation process: [390/617] +[2022/05/18 18:48:14] ppcls INFO: query feature calculation process: [400/617] +[2022/05/18 18:48:15] ppcls INFO: query feature calculation process: [410/617] +[2022/05/18 18:48:15] ppcls INFO: query feature calculation process: [420/617] +[2022/05/18 18:48:16] ppcls INFO: query feature calculation process: [430/617] +[2022/05/18 18:48:17] ppcls INFO: query feature calculation process: [440/617] +[2022/05/18 18:48:17] ppcls INFO: query feature calculation process: [450/617] +[2022/05/18 18:48:18] ppcls INFO: query feature calculation process: [460/617] +[2022/05/18 18:48:19] ppcls INFO: query feature calculation process: [470/617] +[2022/05/18 18:48:20] ppcls INFO: query feature calculation process: [480/617] +[2022/05/18 18:48:21] ppcls INFO: query feature calculation process: [490/617] +[2022/05/18 18:48:21] ppcls INFO: query feature calculation process: [500/617] +[2022/05/18 18:48:23] ppcls INFO: query feature calculation process: [510/617] +[2022/05/18 18:48:23] ppcls INFO: query feature calculation process: [520/617] +[2022/05/18 18:48:24] ppcls INFO: query feature calculation process: [530/617] +[2022/05/18 18:48:25] ppcls INFO: query feature calculation process: [540/617] +[2022/05/18 18:48:26] ppcls INFO: query feature calculation process: [550/617] +[2022/05/18 18:48:27] ppcls INFO: query feature calculation process: [560/617] +[2022/05/18 18:48:28] ppcls INFO: query feature calculation process: [570/617] +[2022/05/18 18:48:29] ppcls INFO: query feature calculation process: [580/617] +[2022/05/18 18:48:30] ppcls INFO: query feature calculation process: [590/617] +[2022/05/18 18:48:30] ppcls INFO: query feature calculation process: [600/617] +[2022/05/18 18:48:31] ppcls INFO: query feature calculation process: [610/617] +[2022/05/18 18:48:32] ppcls INFO: Build query done, all feat shape: [39457, 1280], begin to eval.. +[2022/05/18 18:48:34] ppcls INFO: [Eval][Epoch 6][Avg]recall1: 0.91764, recall5: 0.96167 +[2022/05/18 18:48:34] ppcls INFO: [Eval][Epoch 6][best metric: 0.9188115768891614] +[2022/05/18 18:48:34] ppcls INFO: Already save model in ./output/RecModel/epoch_6 +[2022/05/18 18:48:35] ppcls INFO: Already save model in ./output/RecModel/latest +[2022/05/18 18:48:37] ppcls INFO: [Train][Epoch 7/30][Iter: 0/1347]lr: 0.03984, CELoss: 2.13978, loss: 2.13978, batch_cost: 0.41181s, reader_cost: 0.03501, ips: 621.64843 images/sec, eta: 3:41:52 +[2022/05/18 18:48:41] ppcls INFO: [Train][Epoch 7/30][Iter: 10/1347]lr: 0.03984, CELoss: 2.02121, loss: 2.02121, batch_cost: 0.38706s, reader_cost: 0.02417, ips: 661.39371 images/sec, eta: 3:28:29 +[2022/05/18 18:48:45] ppcls INFO: [Train][Epoch 7/30][Iter: 20/1347]lr: 0.03984, CELoss: 2.04913, loss: 2.04913, batch_cost: 0.40126s, reader_cost: 0.03662, ips: 637.99449 images/sec, eta: 3:36:03 +[2022/05/18 18:48:49] ppcls INFO: [Train][Epoch 7/30][Iter: 30/1347]lr: 0.03983, CELoss: 2.06156, loss: 2.06156, batch_cost: 0.39342s, reader_cost: 0.02280, ips: 650.70113 images/sec, eta: 3:31:46 +[2022/05/18 18:48:53] ppcls INFO: [Train][Epoch 7/30][Iter: 40/1347]lr: 0.03983, CELoss: 2.05482, loss: 2.05482, batch_cost: 0.39706s, reader_cost: 0.02836, ips: 644.73538 images/sec, eta: 3:33:40 +[2022/05/18 18:48:57] ppcls INFO: [Train][Epoch 7/30][Iter: 50/1347]lr: 0.03983, CELoss: 2.07159, loss: 2.07159, batch_cost: 0.39349s, reader_cost: 0.02549, ips: 650.58237 images/sec, eta: 3:31:41 +[2022/05/18 18:49:01] ppcls INFO: [Train][Epoch 7/30][Iter: 60/1347]lr: 0.03983, CELoss: 2.08437, loss: 2.08437, batch_cost: 0.39404s, reader_cost: 0.02671, ips: 649.68601 images/sec, eta: 3:31:54 +[2022/05/18 18:49:05] ppcls INFO: [Train][Epoch 7/30][Iter: 70/1347]lr: 0.03983, CELoss: 2.07308, loss: 2.07308, batch_cost: 0.39449s, reader_cost: 0.02741, ips: 648.93455 images/sec, eta: 3:32:05 +[2022/05/18 18:49:09] ppcls INFO: [Train][Epoch 7/30][Iter: 80/1347]lr: 0.03982, CELoss: 2.07493, loss: 2.07493, batch_cost: 0.39594s, reader_cost: 0.02804, ips: 646.56236 images/sec, eta: 3:32:48 +[2022/05/18 18:49:13] ppcls INFO: [Train][Epoch 7/30][Iter: 90/1347]lr: 0.03982, CELoss: 2.08937, loss: 2.08937, batch_cost: 0.39641s, reader_cost: 0.02723, ips: 645.79942 images/sec, eta: 3:32:59 +[2022/05/18 18:49:17] ppcls INFO: [Train][Epoch 7/30][Iter: 100/1347]lr: 0.03982, CELoss: 2.09380, loss: 2.09380, batch_cost: 0.40034s, reader_cost: 0.03039, ips: 639.46253 images/sec, eta: 3:35:02 +[2022/05/18 18:49:21] ppcls INFO: [Train][Epoch 7/30][Iter: 110/1347]lr: 0.03982, CELoss: 2.10223, loss: 2.10223, batch_cost: 0.39954s, reader_cost: 0.02915, ips: 640.73675 images/sec, eta: 3:34:32 +[2022/05/18 18:49:25] ppcls INFO: [Train][Epoch 7/30][Iter: 120/1347]lr: 0.03981, CELoss: 2.09177, loss: 2.09177, batch_cost: 0.39903s, reader_cost: 0.02800, ips: 641.55328 images/sec, eta: 3:34:12 +[2022/05/18 18:49:29] ppcls INFO: [Train][Epoch 7/30][Iter: 130/1347]lr: 0.03981, CELoss: 2.09004, loss: 2.09004, batch_cost: 0.39831s, reader_cost: 0.02683, ips: 642.71471 images/sec, eta: 3:33:44 +[2022/05/18 18:49:33] ppcls INFO: [Train][Epoch 7/30][Iter: 140/1347]lr: 0.03981, CELoss: 2.09882, loss: 2.09882, batch_cost: 0.40167s, reader_cost: 0.02955, ips: 637.33397 images/sec, eta: 3:35:29 +[2022/05/18 18:49:38] ppcls INFO: [Train][Epoch 7/30][Iter: 150/1347]lr: 0.03981, CELoss: 2.09342, loss: 2.09342, batch_cost: 0.40470s, reader_cost: 0.03157, ips: 632.57445 images/sec, eta: 3:37:02 +[2022/05/18 18:49:43] ppcls INFO: [Train][Epoch 7/30][Iter: 160/1347]lr: 0.03980, CELoss: 2.09131, loss: 2.09131, batch_cost: 0.41208s, reader_cost: 0.03736, ips: 621.24330 images/sec, eta: 3:40:55 +[2022/05/18 18:49:47] ppcls INFO: [Train][Epoch 7/30][Iter: 170/1347]lr: 0.03980, CELoss: 2.09718, loss: 2.09718, batch_cost: 0.41160s, reader_cost: 0.03675, ips: 621.96613 images/sec, eta: 3:40:36 +[2022/05/18 18:49:51] ppcls INFO: [Train][Epoch 7/30][Iter: 180/1347]lr: 0.03980, CELoss: 2.09536, loss: 2.09536, batch_cost: 0.41105s, reader_cost: 0.03621, ips: 622.79809 images/sec, eta: 3:40:14 +[2022/05/18 18:49:55] ppcls INFO: [Train][Epoch 7/30][Iter: 190/1347]lr: 0.03979, CELoss: 2.09482, loss: 2.09482, batch_cost: 0.40981s, reader_cost: 0.03512, ips: 624.67646 images/sec, eta: 3:39:30 +[2022/05/18 18:49:59] ppcls INFO: [Train][Epoch 7/30][Iter: 200/1347]lr: 0.03979, CELoss: 2.10015, loss: 2.10015, batch_cost: 0.40894s, reader_cost: 0.03481, ips: 626.01342 images/sec, eta: 3:38:58 +[2022/05/18 18:50:03] ppcls INFO: [Train][Epoch 7/30][Iter: 210/1347]lr: 0.03979, CELoss: 2.10001, loss: 2.10001, batch_cost: 0.40915s, reader_cost: 0.03495, ips: 625.68163 images/sec, eta: 3:39:01 +[2022/05/18 18:50:07] ppcls INFO: [Train][Epoch 7/30][Iter: 220/1347]lr: 0.03979, CELoss: 2.09560, loss: 2.09560, batch_cost: 0.40808s, reader_cost: 0.03401, ips: 627.33465 images/sec, eta: 3:38:22 +[2022/05/18 18:50:11] ppcls INFO: [Train][Epoch 7/30][Iter: 230/1347]lr: 0.03978, CELoss: 2.09972, loss: 2.09972, batch_cost: 0.40717s, reader_cost: 0.03327, ips: 628.72780 images/sec, eta: 3:37:49 +[2022/05/18 18:50:15] ppcls INFO: [Train][Epoch 7/30][Iter: 240/1347]lr: 0.03978, CELoss: 2.09716, loss: 2.09716, batch_cost: 0.40772s, reader_cost: 0.03375, ips: 627.88884 images/sec, eta: 3:38:02 +[2022/05/18 18:50:19] ppcls INFO: [Train][Epoch 7/30][Iter: 250/1347]lr: 0.03978, CELoss: 2.09695, loss: 2.09695, batch_cost: 0.40726s, reader_cost: 0.03297, ips: 628.58898 images/sec, eta: 3:37:44 +[2022/05/18 18:50:23] ppcls INFO: [Train][Epoch 7/30][Iter: 260/1347]lr: 0.03978, CELoss: 2.10026, loss: 2.10026, batch_cost: 0.40811s, reader_cost: 0.03347, ips: 627.27529 images/sec, eta: 3:38:07 +[2022/05/18 18:50:27] ppcls INFO: [Train][Epoch 7/30][Iter: 270/1347]lr: 0.03977, CELoss: 2.10223, loss: 2.10223, batch_cost: 0.40796s, reader_cost: 0.03337, ips: 627.50664 images/sec, eta: 3:37:58 +[2022/05/18 18:50:31] ppcls INFO: [Train][Epoch 7/30][Iter: 280/1347]lr: 0.03977, CELoss: 2.10204, loss: 2.10204, batch_cost: 0.40739s, reader_cost: 0.03285, ips: 628.39664 images/sec, eta: 3:37:35 +[2022/05/18 18:50:35] ppcls INFO: [Train][Epoch 7/30][Iter: 290/1347]lr: 0.03977, CELoss: 2.10120, loss: 2.10120, batch_cost: 0.40671s, reader_cost: 0.03228, ips: 629.43771 images/sec, eta: 3:37:10 +[2022/05/18 18:50:39] ppcls INFO: [Train][Epoch 7/30][Iter: 300/1347]lr: 0.03976, CELoss: 2.10025, loss: 2.10025, batch_cost: 0.40667s, reader_cost: 0.03202, ips: 629.49979 images/sec, eta: 3:37:04 +[2022/05/18 18:50:43] ppcls INFO: [Train][Epoch 7/30][Iter: 310/1347]lr: 0.03976, CELoss: 2.10006, loss: 2.10006, batch_cost: 0.40659s, reader_cost: 0.03159, ips: 629.63260 images/sec, eta: 3:36:58 +[2022/05/18 18:50:47] ppcls INFO: [Train][Epoch 7/30][Iter: 320/1347]lr: 0.03976, CELoss: 2.10109, loss: 2.10109, batch_cost: 0.40764s, reader_cost: 0.03229, ips: 628.00820 images/sec, eta: 3:37:27 +[2022/05/18 18:50:52] ppcls INFO: [Train][Epoch 7/30][Iter: 330/1347]lr: 0.03976, CELoss: 2.10271, loss: 2.10271, batch_cost: 0.40893s, reader_cost: 0.03324, ips: 626.01959 images/sec, eta: 3:38:05 +[2022/05/18 18:50:57] ppcls INFO: [Train][Epoch 7/30][Iter: 340/1347]lr: 0.03975, CELoss: 2.10129, loss: 2.10129, batch_cost: 0.41081s, reader_cost: 0.03488, ips: 623.15277 images/sec, eta: 3:39:01 +[2022/05/18 18:51:00] ppcls INFO: [Train][Epoch 7/30][Iter: 350/1347]lr: 0.03975, CELoss: 2.10250, loss: 2.10250, batch_cost: 0.41015s, reader_cost: 0.03430, ips: 624.15505 images/sec, eta: 3:38:35 +[2022/05/18 18:51:04] ppcls INFO: [Train][Epoch 7/30][Iter: 360/1347]lr: 0.03975, CELoss: 2.10232, loss: 2.10232, batch_cost: 0.40992s, reader_cost: 0.03407, ips: 624.51001 images/sec, eta: 3:38:24 +[2022/05/18 18:51:08] ppcls INFO: [Train][Epoch 7/30][Iter: 370/1347]lr: 0.03974, CELoss: 2.10115, loss: 2.10115, batch_cost: 0.40931s, reader_cost: 0.03356, ips: 625.44239 images/sec, eta: 3:38:00 +[2022/05/18 18:51:12] ppcls INFO: [Train][Epoch 7/30][Iter: 380/1347]lr: 0.03974, CELoss: 2.10177, loss: 2.10177, batch_cost: 0.40896s, reader_cost: 0.03339, ips: 625.98083 images/sec, eta: 3:37:45 +[2022/05/18 18:51:16] ppcls INFO: [Train][Epoch 7/30][Iter: 390/1347]lr: 0.03974, CELoss: 2.09889, loss: 2.09889, batch_cost: 0.40884s, reader_cost: 0.03328, ips: 626.16749 images/sec, eta: 3:37:37 +[2022/05/18 18:51:20] ppcls INFO: [Train][Epoch 7/30][Iter: 400/1347]lr: 0.03973, CELoss: 2.10202, loss: 2.10202, batch_cost: 0.40843s, reader_cost: 0.03307, ips: 626.79652 images/sec, eta: 3:37:20 +[2022/05/18 18:51:24] ppcls INFO: [Train][Epoch 7/30][Iter: 410/1347]lr: 0.03973, CELoss: 2.10121, loss: 2.10121, batch_cost: 0.40839s, reader_cost: 0.03295, ips: 626.85837 images/sec, eta: 3:37:14 +[2022/05/18 18:51:29] ppcls INFO: [Train][Epoch 7/30][Iter: 420/1347]lr: 0.03973, CELoss: 2.10401, loss: 2.10401, batch_cost: 0.40881s, reader_cost: 0.03310, ips: 626.20623 images/sec, eta: 3:37:24 +[2022/05/18 18:51:33] ppcls INFO: [Train][Epoch 7/30][Iter: 430/1347]lr: 0.03973, CELoss: 2.10294, loss: 2.10294, batch_cost: 0.40847s, reader_cost: 0.03289, ips: 626.72347 images/sec, eta: 3:37:09 +[2022/05/18 18:51:36] ppcls INFO: [Train][Epoch 7/30][Iter: 440/1347]lr: 0.03972, CELoss: 2.10361, loss: 2.10361, batch_cost: 0.40787s, reader_cost: 0.03243, ips: 627.64466 images/sec, eta: 3:36:46 +[2022/05/18 18:51:40] ppcls INFO: [Train][Epoch 7/30][Iter: 450/1347]lr: 0.03972, CELoss: 2.10444, loss: 2.10444, batch_cost: 0.40733s, reader_cost: 0.03202, ips: 628.48822 images/sec, eta: 3:36:24 +[2022/05/18 18:51:44] ppcls INFO: [Train][Epoch 7/30][Iter: 460/1347]lr: 0.03972, CELoss: 2.10234, loss: 2.10234, batch_cost: 0.40710s, reader_cost: 0.03190, ips: 628.83425 images/sec, eta: 3:36:13 +[2022/05/18 18:51:48] ppcls INFO: [Train][Epoch 7/30][Iter: 470/1347]lr: 0.03971, CELoss: 2.09969, loss: 2.09969, batch_cost: 0.40692s, reader_cost: 0.03178, ips: 629.10870 images/sec, eta: 3:36:03 +[2022/05/18 18:51:52] ppcls INFO: [Train][Epoch 7/30][Iter: 480/1347]lr: 0.03971, CELoss: 2.09828, loss: 2.09828, batch_cost: 0.40702s, reader_cost: 0.03196, ips: 628.95737 images/sec, eta: 3:36:02 +[2022/05/18 18:51:56] ppcls INFO: [Train][Epoch 7/30][Iter: 490/1347]lr: 0.03971, CELoss: 2.09612, loss: 2.09612, batch_cost: 0.40652s, reader_cost: 0.03132, ips: 629.74089 images/sec, eta: 3:35:42 +[2022/05/18 18:52:01] ppcls INFO: [Train][Epoch 7/30][Iter: 500/1347]lr: 0.03970, CELoss: 2.09493, loss: 2.09493, batch_cost: 0.40847s, reader_cost: 0.03282, ips: 626.72443 images/sec, eta: 3:36:40 +[2022/05/18 18:52:06] ppcls INFO: [Train][Epoch 7/30][Iter: 510/1347]lr: 0.03970, CELoss: 2.09683, loss: 2.09683, batch_cost: 0.40909s, reader_cost: 0.03302, ips: 625.78655 images/sec, eta: 3:36:56 +[2022/05/18 18:52:10] ppcls INFO: [Train][Epoch 7/30][Iter: 520/1347]lr: 0.03970, CELoss: 2.09887, loss: 2.09887, batch_cost: 0.41000s, reader_cost: 0.03357, ips: 624.39493 images/sec, eta: 3:37:21 +[2022/05/18 18:52:14] ppcls INFO: [Train][Epoch 7/30][Iter: 530/1347]lr: 0.03969, CELoss: 2.09724, loss: 2.09724, batch_cost: 0.40955s, reader_cost: 0.03319, ips: 625.08152 images/sec, eta: 3:37:02 +[2022/05/18 18:52:18] ppcls INFO: [Train][Epoch 7/30][Iter: 540/1347]lr: 0.03969, CELoss: 2.10029, loss: 2.10029, batch_cost: 0.40962s, reader_cost: 0.03316, ips: 624.96700 images/sec, eta: 3:37:01 +[2022/05/18 18:52:22] ppcls INFO: [Train][Epoch 7/30][Iter: 550/1347]lr: 0.03969, CELoss: 2.10157, loss: 2.10157, batch_cost: 0.40964s, reader_cost: 0.03325, ips: 624.94070 images/sec, eta: 3:36:57 +[2022/05/18 18:52:26] ppcls INFO: [Train][Epoch 7/30][Iter: 560/1347]lr: 0.03968, CELoss: 2.10164, loss: 2.10164, batch_cost: 0.40922s, reader_cost: 0.03295, ips: 625.58364 images/sec, eta: 3:36:40 +[2022/05/18 18:52:30] ppcls INFO: [Train][Epoch 7/30][Iter: 570/1347]lr: 0.03968, CELoss: 2.09973, loss: 2.09973, batch_cost: 0.40883s, reader_cost: 0.03259, ips: 626.18104 images/sec, eta: 3:36:23 +[2022/05/18 18:52:34] ppcls INFO: [Train][Epoch 7/30][Iter: 580/1347]lr: 0.03968, CELoss: 2.10126, loss: 2.10126, batch_cost: 0.40937s, reader_cost: 0.03300, ips: 625.35237 images/sec, eta: 3:36:36 +[2022/05/18 18:52:38] ppcls INFO: [Train][Epoch 7/30][Iter: 590/1347]lr: 0.03967, CELoss: 2.10036, loss: 2.10036, batch_cost: 0.40880s, reader_cost: 0.03249, ips: 626.21695 images/sec, eta: 3:36:14 +[2022/05/18 18:52:42] ppcls INFO: [Train][Epoch 7/30][Iter: 600/1347]lr: 0.03967, CELoss: 2.09644, loss: 2.09644, batch_cost: 0.40876s, reader_cost: 0.03242, ips: 626.27950 images/sec, eta: 3:36:09 +[2022/05/18 18:52:46] ppcls INFO: [Train][Epoch 7/30][Iter: 610/1347]lr: 0.03967, CELoss: 2.09387, loss: 2.09387, batch_cost: 0.40835s, reader_cost: 0.03215, ips: 626.91255 images/sec, eta: 3:35:52 +[2022/05/18 18:52:50] ppcls INFO: [Train][Epoch 7/30][Iter: 620/1347]lr: 0.03966, CELoss: 2.09425, loss: 2.09425, batch_cost: 0.40859s, reader_cost: 0.03237, ips: 626.53871 images/sec, eta: 3:35:55 +[2022/05/18 18:52:54] ppcls INFO: [Train][Epoch 7/30][Iter: 630/1347]lr: 0.03966, CELoss: 2.09268, loss: 2.09268, batch_cost: 0.40859s, reader_cost: 0.03236, ips: 626.54085 images/sec, eta: 3:35:51 +[2022/05/18 18:52:58] ppcls INFO: [Train][Epoch 7/30][Iter: 640/1347]lr: 0.03966, CELoss: 2.09269, loss: 2.09269, batch_cost: 0.40804s, reader_cost: 0.03186, ips: 627.38504 images/sec, eta: 3:35:30 +[2022/05/18 18:53:02] ppcls INFO: [Train][Epoch 7/30][Iter: 650/1347]lr: 0.03965, CELoss: 2.09300, loss: 2.09300, batch_cost: 0.40767s, reader_cost: 0.03160, ips: 627.95517 images/sec, eta: 3:35:14 +[2022/05/18 18:53:06] ppcls INFO: [Train][Epoch 7/30][Iter: 660/1347]lr: 0.03965, CELoss: 2.09411, loss: 2.09411, batch_cost: 0.40772s, reader_cost: 0.03174, ips: 627.87805 images/sec, eta: 3:35:11 +[2022/05/18 18:53:10] ppcls INFO: [Train][Epoch 7/30][Iter: 670/1347]lr: 0.03965, CELoss: 2.09396, loss: 2.09396, batch_cost: 0.40779s, reader_cost: 0.03178, ips: 627.77128 images/sec, eta: 3:35:09 +[2022/05/18 18:53:15] ppcls INFO: [Train][Epoch 7/30][Iter: 680/1347]lr: 0.03964, CELoss: 2.09472, loss: 2.09472, batch_cost: 0.40894s, reader_cost: 0.03273, ips: 626.00266 images/sec, eta: 3:35:42 +[2022/05/18 18:53:20] ppcls INFO: [Train][Epoch 7/30][Iter: 690/1347]lr: 0.03964, CELoss: 2.09409, loss: 2.09409, batch_cost: 0.41004s, reader_cost: 0.03374, ips: 624.32600 images/sec, eta: 3:36:12 +[2022/05/18 18:53:25] ppcls INFO: [Train][Epoch 7/30][Iter: 700/1347]lr: 0.03964, CELoss: 2.09433, loss: 2.09433, batch_cost: 0.41162s, reader_cost: 0.03512, ips: 621.93117 images/sec, eta: 3:36:58 +[2022/05/18 18:53:29] ppcls INFO: [Train][Epoch 7/30][Iter: 710/1347]lr: 0.03963, CELoss: 2.09301, loss: 2.09301, batch_cost: 0.41145s, reader_cost: 0.03505, ips: 622.18678 images/sec, eta: 3:36:49 +[2022/05/18 18:53:33] ppcls INFO: [Train][Epoch 7/30][Iter: 720/1347]lr: 0.03963, CELoss: 2.09268, loss: 2.09268, batch_cost: 0.41178s, reader_cost: 0.03541, ips: 621.69522 images/sec, eta: 3:36:55 +[2022/05/18 18:53:38] ppcls INFO: [Train][Epoch 7/30][Iter: 730/1347]lr: 0.03963, CELoss: 2.09357, loss: 2.09357, batch_cost: 0.41205s, reader_cost: 0.03567, ips: 621.27839 images/sec, eta: 3:37:00 +[2022/05/18 18:53:42] ppcls INFO: [Train][Epoch 7/30][Iter: 740/1347]lr: 0.03962, CELoss: 2.09226, loss: 2.09226, batch_cost: 0.41256s, reader_cost: 0.03620, ips: 620.51517 images/sec, eta: 3:37:11 +[2022/05/18 18:53:46] ppcls INFO: [Train][Epoch 7/30][Iter: 750/1347]lr: 0.03962, CELoss: 2.09132, loss: 2.09132, batch_cost: 0.41253s, reader_cost: 0.03623, ips: 620.56452 images/sec, eta: 3:37:06 +[2022/05/18 18:53:50] ppcls INFO: [Train][Epoch 7/30][Iter: 760/1347]lr: 0.03961, CELoss: 2.09067, loss: 2.09067, batch_cost: 0.41234s, reader_cost: 0.03619, ips: 620.84222 images/sec, eta: 3:36:56 +[2022/05/18 18:53:54] ppcls INFO: [Train][Epoch 7/30][Iter: 770/1347]lr: 0.03961, CELoss: 2.08876, loss: 2.08876, batch_cost: 0.41228s, reader_cost: 0.03616, ips: 620.93455 images/sec, eta: 3:36:50 +[2022/05/18 18:53:58] ppcls INFO: [Train][Epoch 7/30][Iter: 780/1347]lr: 0.03961, CELoss: 2.08862, loss: 2.08862, batch_cost: 0.41199s, reader_cost: 0.03590, ips: 621.37713 images/sec, eta: 3:36:37 +[2022/05/18 18:54:02] ppcls INFO: [Train][Epoch 7/30][Iter: 790/1347]lr: 0.03960, CELoss: 2.08813, loss: 2.08813, batch_cost: 0.41163s, reader_cost: 0.03564, ips: 621.91212 images/sec, eta: 3:36:22 +[2022/05/18 18:54:06] ppcls INFO: [Train][Epoch 7/30][Iter: 800/1347]lr: 0.03960, CELoss: 2.08874, loss: 2.08874, batch_cost: 0.41148s, reader_cost: 0.03554, ips: 622.14660 images/sec, eta: 3:36:13 +[2022/05/18 18:54:10] ppcls INFO: [Train][Epoch 7/30][Iter: 810/1347]lr: 0.03960, CELoss: 2.08759, loss: 2.08759, batch_cost: 0.41129s, reader_cost: 0.03543, ips: 622.43531 images/sec, eta: 3:36:02 +[2022/05/18 18:54:14] ppcls INFO: [Train][Epoch 7/30][Iter: 820/1347]lr: 0.03959, CELoss: 2.08617, loss: 2.08617, batch_cost: 0.41132s, reader_cost: 0.03543, ips: 622.38944 images/sec, eta: 3:35:59 +[2022/05/18 18:54:18] ppcls INFO: [Train][Epoch 7/30][Iter: 830/1347]lr: 0.03959, CELoss: 2.08523, loss: 2.08523, batch_cost: 0.41119s, reader_cost: 0.03517, ips: 622.58169 images/sec, eta: 3:35:51 +[2022/05/18 18:54:22] ppcls INFO: [Train][Epoch 7/30][Iter: 840/1347]lr: 0.03958, CELoss: 2.08455, loss: 2.08455, batch_cost: 0.41116s, reader_cost: 0.03508, ips: 622.62574 images/sec, eta: 3:35:46 +[2022/05/18 18:54:27] ppcls INFO: [Train][Epoch 7/30][Iter: 850/1347]lr: 0.03958, CELoss: 2.08501, loss: 2.08501, batch_cost: 0.41186s, reader_cost: 0.03557, ips: 621.56475 images/sec, eta: 3:36:04 +[2022/05/18 18:54:32] ppcls INFO: [Train][Epoch 7/30][Iter: 860/1347]lr: 0.03958, CELoss: 2.08357, loss: 2.08357, batch_cost: 0.41296s, reader_cost: 0.03653, ips: 619.91016 images/sec, eta: 3:36:35 +[2022/05/18 18:54:37] ppcls INFO: [Train][Epoch 7/30][Iter: 870/1347]lr: 0.03957, CELoss: 2.08265, loss: 2.08265, batch_cost: 0.41377s, reader_cost: 0.03723, ips: 618.69397 images/sec, eta: 3:36:56 +[2022/05/18 18:54:42] ppcls INFO: [Train][Epoch 7/30][Iter: 880/1347]lr: 0.03957, CELoss: 2.08209, loss: 2.08209, batch_cost: 0.41492s, reader_cost: 0.03799, ips: 616.98367 images/sec, eta: 3:37:28 +[2022/05/18 18:54:47] ppcls INFO: [Train][Epoch 7/30][Iter: 890/1347]lr: 0.03957, CELoss: 2.08084, loss: 2.08084, batch_cost: 0.41547s, reader_cost: 0.03839, ips: 616.17396 images/sec, eta: 3:37:41 +[2022/05/18 18:54:51] ppcls INFO: [Train][Epoch 7/30][Iter: 900/1347]lr: 0.03956, CELoss: 2.08133, loss: 2.08133, batch_cost: 0.41526s, reader_cost: 0.03827, ips: 616.48629 images/sec, eta: 3:37:30 +[2022/05/18 18:54:55] ppcls INFO: [Train][Epoch 7/30][Iter: 910/1347]lr: 0.03956, CELoss: 2.08065, loss: 2.08065, batch_cost: 0.41490s, reader_cost: 0.03804, ips: 617.01346 images/sec, eta: 3:37:15 +[2022/05/18 18:54:59] ppcls INFO: [Train][Epoch 7/30][Iter: 920/1347]lr: 0.03955, CELoss: 2.08071, loss: 2.08071, batch_cost: 0.41506s, reader_cost: 0.03813, ips: 616.77604 images/sec, eta: 3:37:16 +[2022/05/18 18:55:03] ppcls INFO: [Train][Epoch 7/30][Iter: 930/1347]lr: 0.03955, CELoss: 2.07989, loss: 2.07989, batch_cost: 0.41468s, reader_cost: 0.03786, ips: 617.34063 images/sec, eta: 3:37:00 +[2022/05/18 18:55:07] ppcls INFO: [Train][Epoch 7/30][Iter: 940/1347]lr: 0.03955, CELoss: 2.07886, loss: 2.07886, batch_cost: 0.41449s, reader_cost: 0.03762, ips: 617.62529 images/sec, eta: 3:36:50 +[2022/05/18 18:55:10] ppcls INFO: [Train][Epoch 7/30][Iter: 950/1347]lr: 0.03954, CELoss: 2.07704, loss: 2.07704, batch_cost: 0.41424s, reader_cost: 0.03740, ips: 618.00111 images/sec, eta: 3:36:37 +[2022/05/18 18:55:14] ppcls INFO: [Train][Epoch 7/30][Iter: 960/1347]lr: 0.03954, CELoss: 2.07613, loss: 2.07613, batch_cost: 0.41409s, reader_cost: 0.03732, ips: 618.22550 images/sec, eta: 3:36:29 +[2022/05/18 18:55:18] ppcls INFO: [Train][Epoch 7/30][Iter: 970/1347]lr: 0.03953, CELoss: 2.07635, loss: 2.07635, batch_cost: 0.41378s, reader_cost: 0.03708, ips: 618.68671 images/sec, eta: 3:36:15 +[2022/05/18 18:55:22] ppcls INFO: [Train][Epoch 7/30][Iter: 980/1347]lr: 0.03953, CELoss: 2.07653, loss: 2.07653, batch_cost: 0.41360s, reader_cost: 0.03701, ips: 618.96200 images/sec, eta: 3:36:05 +[2022/05/18 18:55:26] ppcls INFO: [Train][Epoch 7/30][Iter: 990/1347]lr: 0.03953, CELoss: 2.07589, loss: 2.07589, batch_cost: 0.41336s, reader_cost: 0.03677, ips: 619.31311 images/sec, eta: 3:35:53 +[2022/05/18 18:55:30] ppcls INFO: [Train][Epoch 7/30][Iter: 1000/1347]lr: 0.03952, CELoss: 2.07475, loss: 2.07475, batch_cost: 0.41342s, reader_cost: 0.03682, ips: 619.22733 images/sec, eta: 3:35:51 +[2022/05/18 18:55:34] ppcls INFO: [Train][Epoch 7/30][Iter: 1010/1347]lr: 0.03952, CELoss: 2.07413, loss: 2.07413, batch_cost: 0.41329s, reader_cost: 0.03673, ips: 619.42279 images/sec, eta: 3:35:43 +[2022/05/18 18:55:38] ppcls INFO: [Train][Epoch 7/30][Iter: 1020/1347]lr: 0.03951, CELoss: 2.07338, loss: 2.07338, batch_cost: 0.41309s, reader_cost: 0.03653, ips: 619.71453 images/sec, eta: 3:35:33 +[2022/05/18 18:55:42] ppcls INFO: [Train][Epoch 7/30][Iter: 1030/1347]lr: 0.03951, CELoss: 2.07259, loss: 2.07259, batch_cost: 0.41277s, reader_cost: 0.03618, ips: 620.20456 images/sec, eta: 3:35:18 +[2022/05/18 18:55:47] ppcls INFO: [Train][Epoch 7/30][Iter: 1040/1347]lr: 0.03951, CELoss: 2.07085, loss: 2.07085, batch_cost: 0.41326s, reader_cost: 0.03658, ips: 619.46061 images/sec, eta: 3:35:30 +[2022/05/18 18:55:52] ppcls INFO: [Train][Epoch 7/30][Iter: 1050/1347]lr: 0.03950, CELoss: 2.07151, loss: 2.07151, batch_cost: 0.41415s, reader_cost: 0.03725, ips: 618.13867 images/sec, eta: 3:35:53 +[2022/05/18 18:55:56] ppcls INFO: [Train][Epoch 7/30][Iter: 1060/1347]lr: 0.03950, CELoss: 2.07223, loss: 2.07223, batch_cost: 0.41462s, reader_cost: 0.03762, ips: 617.43054 images/sec, eta: 3:36:04 +[2022/05/18 18:56:01] ppcls INFO: [Train][Epoch 7/30][Iter: 1070/1347]lr: 0.03949, CELoss: 2.07171, loss: 2.07171, batch_cost: 0.41458s, reader_cost: 0.03757, ips: 617.49795 images/sec, eta: 3:35:58 +[2022/05/18 18:56:05] ppcls INFO: [Train][Epoch 7/30][Iter: 1080/1347]lr: 0.03949, CELoss: 2.07131, loss: 2.07131, batch_cost: 0.41444s, reader_cost: 0.03751, ips: 617.69373 images/sec, eta: 3:35:50 +[2022/05/18 18:56:08] ppcls INFO: [Train][Epoch 7/30][Iter: 1090/1347]lr: 0.03948, CELoss: 2.07109, loss: 2.07109, batch_cost: 0.41417s, reader_cost: 0.03731, ips: 618.10927 images/sec, eta: 3:35:37 +[2022/05/18 18:56:12] ppcls INFO: [Train][Epoch 7/30][Iter: 1100/1347]lr: 0.03948, CELoss: 2.07104, loss: 2.07104, batch_cost: 0.41397s, reader_cost: 0.03716, ips: 618.39590 images/sec, eta: 3:35:27 +[2022/05/18 18:56:16] ppcls INFO: [Train][Epoch 7/30][Iter: 1110/1347]lr: 0.03948, CELoss: 2.06933, loss: 2.06933, batch_cost: 0.41358s, reader_cost: 0.03683, ips: 618.98571 images/sec, eta: 3:35:11 +[2022/05/18 18:56:20] ppcls INFO: [Train][Epoch 7/30][Iter: 1120/1347]lr: 0.03947, CELoss: 2.06905, loss: 2.06905, batch_cost: 0.41325s, reader_cost: 0.03652, ips: 619.48640 images/sec, eta: 3:34:56 +[2022/05/18 18:56:24] ppcls INFO: [Train][Epoch 7/30][Iter: 1130/1347]lr: 0.03947, CELoss: 2.06870, loss: 2.06870, batch_cost: 0.41301s, reader_cost: 0.03632, ips: 619.84004 images/sec, eta: 3:34:45 +[2022/05/18 18:56:28] ppcls INFO: [Train][Epoch 7/30][Iter: 1140/1347]lr: 0.03946, CELoss: 2.06837, loss: 2.06837, batch_cost: 0.41278s, reader_cost: 0.03616, ips: 620.18696 images/sec, eta: 3:34:33 +[2022/05/18 18:56:31] ppcls INFO: [Train][Epoch 7/30][Iter: 1150/1347]lr: 0.03946, CELoss: 2.06723, loss: 2.06723, batch_cost: 0.41260s, reader_cost: 0.03596, ips: 620.45710 images/sec, eta: 3:34:24 +[2022/05/18 18:56:36] ppcls INFO: [Train][Epoch 7/30][Iter: 1160/1347]lr: 0.03946, CELoss: 2.06771, loss: 2.06771, batch_cost: 0.41267s, reader_cost: 0.03600, ips: 620.35169 images/sec, eta: 3:34:22 +[2022/05/18 18:56:40] ppcls INFO: [Train][Epoch 7/30][Iter: 1170/1347]lr: 0.03945, CELoss: 2.06744, loss: 2.06744, batch_cost: 0.41250s, reader_cost: 0.03584, ips: 620.60044 images/sec, eta: 3:34:12 +[2022/05/18 18:56:44] ppcls INFO: [Train][Epoch 7/30][Iter: 1180/1347]lr: 0.03945, CELoss: 2.06721, loss: 2.06721, batch_cost: 0.41231s, reader_cost: 0.03566, ips: 620.88860 images/sec, eta: 3:34:02 +[2022/05/18 18:56:48] ppcls INFO: [Train][Epoch 7/30][Iter: 1190/1347]lr: 0.03944, CELoss: 2.06794, loss: 2.06794, batch_cost: 0.41217s, reader_cost: 0.03549, ips: 621.09984 images/sec, eta: 3:33:54 +[2022/05/18 18:56:51] ppcls INFO: [Train][Epoch 7/30][Iter: 1200/1347]lr: 0.03944, CELoss: 2.06732, loss: 2.06732, batch_cost: 0.41196s, reader_cost: 0.03532, ips: 621.42550 images/sec, eta: 3:33:43 +[2022/05/18 18:56:55] ppcls INFO: [Train][Epoch 7/30][Iter: 1210/1347]lr: 0.03943, CELoss: 2.06633, loss: 2.06633, batch_cost: 0.41176s, reader_cost: 0.03513, ips: 621.72827 images/sec, eta: 3:33:33 +[2022/05/18 18:57:00] ppcls INFO: [Train][Epoch 7/30][Iter: 1220/1347]lr: 0.03943, CELoss: 2.06618, loss: 2.06618, batch_cost: 0.41232s, reader_cost: 0.03557, ips: 620.88292 images/sec, eta: 3:33:46 +[2022/05/18 18:57:05] ppcls INFO: [Train][Epoch 7/30][Iter: 1230/1347]lr: 0.03942, CELoss: 2.06691, loss: 2.06691, batch_cost: 0.41264s, reader_cost: 0.03581, ips: 620.39717 images/sec, eta: 3:33:52 +[2022/05/18 18:57:09] ppcls INFO: [Train][Epoch 7/30][Iter: 1240/1347]lr: 0.03942, CELoss: 2.06685, loss: 2.06685, batch_cost: 0.41325s, reader_cost: 0.03629, ips: 619.48644 images/sec, eta: 3:34:06 +[2022/05/18 18:57:13] ppcls INFO: [Train][Epoch 7/30][Iter: 1250/1347]lr: 0.03942, CELoss: 2.06676, loss: 2.06676, batch_cost: 0.41311s, reader_cost: 0.03623, ips: 619.68634 images/sec, eta: 3:33:58 +[2022/05/18 18:57:17] ppcls INFO: [Train][Epoch 7/30][Iter: 1260/1347]lr: 0.03941, CELoss: 2.06572, loss: 2.06572, batch_cost: 0.41296s, reader_cost: 0.03604, ips: 619.92078 images/sec, eta: 3:33:49 +[2022/05/18 18:57:21] ppcls INFO: [Train][Epoch 7/30][Iter: 1270/1347]lr: 0.03941, CELoss: 2.06596, loss: 2.06596, batch_cost: 0.41275s, reader_cost: 0.03588, ips: 620.23448 images/sec, eta: 3:33:39 +[2022/05/18 18:57:25] ppcls INFO: [Train][Epoch 7/30][Iter: 1280/1347]lr: 0.03940, CELoss: 2.06584, loss: 2.06584, batch_cost: 0.41253s, reader_cost: 0.03570, ips: 620.55517 images/sec, eta: 3:33:28 +[2022/05/18 18:57:29] ppcls INFO: [Train][Epoch 7/30][Iter: 1290/1347]lr: 0.03940, CELoss: 2.06578, loss: 2.06578, batch_cost: 0.41236s, reader_cost: 0.03557, ips: 620.81066 images/sec, eta: 3:33:18 +[2022/05/18 18:57:33] ppcls INFO: [Train][Epoch 7/30][Iter: 1300/1347]lr: 0.03939, CELoss: 2.06575, loss: 2.06575, batch_cost: 0.41226s, reader_cost: 0.03550, ips: 620.96184 images/sec, eta: 3:33:11 +[2022/05/18 18:57:37] ppcls INFO: [Train][Epoch 7/30][Iter: 1310/1347]lr: 0.03939, CELoss: 2.06545, loss: 2.06545, batch_cost: 0.41210s, reader_cost: 0.03533, ips: 621.21163 images/sec, eta: 3:33:02 +[2022/05/18 18:57:41] ppcls INFO: [Train][Epoch 7/30][Iter: 1320/1347]lr: 0.03938, CELoss: 2.06604, loss: 2.06604, batch_cost: 0.41213s, reader_cost: 0.03537, ips: 621.15973 images/sec, eta: 3:32:59 +[2022/05/18 18:57:45] ppcls INFO: [Train][Epoch 7/30][Iter: 1330/1347]lr: 0.03938, CELoss: 2.06568, loss: 2.06568, batch_cost: 0.41194s, reader_cost: 0.03522, ips: 621.44777 images/sec, eta: 3:32:49 +[2022/05/18 18:57:49] ppcls INFO: [Train][Epoch 7/30][Iter: 1340/1347]lr: 0.03937, CELoss: 2.06452, loss: 2.06452, batch_cost: 0.41188s, reader_cost: 0.03516, ips: 621.53435 images/sec, eta: 3:32:43 +[2022/05/18 18:57:51] ppcls INFO: [Train][Epoch 7/30][Avg]CELoss: 2.06328, loss: 2.06328 +[2022/05/18 18:57:52] ppcls INFO: gallery feature calculation process: [0/617] +[2022/05/18 18:57:53] ppcls INFO: gallery feature calculation process: [10/617] +[2022/05/18 18:57:54] ppcls INFO: gallery feature calculation process: [20/617] +[2022/05/18 18:57:54] ppcls INFO: gallery feature calculation process: [30/617] +[2022/05/18 18:57:55] ppcls INFO: gallery feature calculation process: [40/617] +[2022/05/18 18:57:56] ppcls INFO: gallery feature calculation process: [50/617] +[2022/05/18 18:57:57] ppcls INFO: gallery feature calculation process: [60/617] +[2022/05/18 18:57:57] ppcls INFO: gallery feature calculation process: [70/617] +[2022/05/18 18:57:58] ppcls INFO: gallery feature calculation process: [80/617] +[2022/05/18 18:57:59] ppcls INFO: gallery feature calculation process: [90/617] +[2022/05/18 18:57:59] ppcls INFO: gallery feature calculation process: [100/617] +[2022/05/18 18:58:00] ppcls INFO: gallery feature calculation process: [110/617] +[2022/05/18 18:58:01] ppcls INFO: gallery feature calculation process: [120/617] +[2022/05/18 18:58:02] ppcls INFO: gallery feature calculation process: [130/617] +[2022/05/18 18:58:03] ppcls INFO: gallery feature calculation process: [140/617] +[2022/05/18 18:58:03] ppcls INFO: gallery feature calculation process: [150/617] +[2022/05/18 18:58:04] ppcls INFO: gallery feature calculation process: [160/617] +[2022/05/18 18:58:05] ppcls INFO: gallery feature calculation process: [170/617] +[2022/05/18 18:58:06] ppcls INFO: gallery feature calculation process: [180/617] +[2022/05/18 18:58:07] ppcls INFO: gallery feature calculation process: [190/617] +[2022/05/18 18:58:08] ppcls INFO: gallery feature calculation process: [200/617] +[2022/05/18 18:58:08] ppcls INFO: gallery feature calculation process: [210/617] +[2022/05/18 18:58:09] ppcls INFO: gallery feature calculation process: [220/617] +[2022/05/18 18:58:10] ppcls INFO: gallery feature calculation process: [230/617] +[2022/05/18 18:58:11] ppcls INFO: gallery feature calculation process: [240/617] +[2022/05/18 18:58:12] ppcls INFO: gallery feature calculation process: [250/617] +[2022/05/18 18:58:12] ppcls INFO: gallery feature calculation process: [260/617] +[2022/05/18 18:58:13] ppcls INFO: gallery feature calculation process: [270/617] +[2022/05/18 18:58:14] ppcls INFO: gallery feature calculation process: [280/617] +[2022/05/18 18:58:15] ppcls INFO: gallery feature calculation process: [290/617] +[2022/05/18 18:58:16] ppcls INFO: gallery feature calculation process: [300/617] +[2022/05/18 18:58:17] ppcls INFO: gallery feature calculation process: [310/617] +[2022/05/18 18:58:18] ppcls INFO: gallery feature calculation process: [320/617] +[2022/05/18 18:58:19] ppcls INFO: gallery feature calculation process: [330/617] +[2022/05/18 18:58:19] ppcls INFO: gallery feature calculation process: [340/617] +[2022/05/18 18:58:20] ppcls INFO: gallery feature calculation process: [350/617] +[2022/05/18 18:58:21] ppcls INFO: gallery feature calculation process: [360/617] +[2022/05/18 18:58:22] ppcls INFO: gallery feature calculation process: [370/617] +[2022/05/18 18:58:23] ppcls INFO: gallery feature calculation process: [380/617] +[2022/05/18 18:58:24] ppcls INFO: gallery feature calculation process: [390/617] +[2022/05/18 18:58:24] ppcls INFO: gallery feature calculation process: [400/617] +[2022/05/18 18:58:25] ppcls INFO: gallery feature calculation process: [410/617] +[2022/05/18 18:58:26] ppcls INFO: gallery feature calculation process: [420/617] +[2022/05/18 18:58:27] ppcls INFO: gallery feature calculation process: [430/617] +[2022/05/18 18:58:27] ppcls INFO: gallery feature calculation process: [440/617] +[2022/05/18 18:58:28] ppcls INFO: gallery feature calculation process: [450/617] +[2022/05/18 18:58:29] ppcls INFO: gallery feature calculation process: [460/617] +[2022/05/18 18:58:30] ppcls INFO: gallery feature calculation process: [470/617] +[2022/05/18 18:58:30] ppcls INFO: gallery feature calculation process: [480/617] +[2022/05/18 18:58:31] ppcls INFO: gallery feature calculation process: [490/617] +[2022/05/18 18:58:32] ppcls INFO: gallery feature calculation process: [500/617] +[2022/05/18 18:58:33] ppcls INFO: gallery feature calculation process: [510/617] +[2022/05/18 18:58:33] ppcls INFO: gallery feature calculation process: [520/617] +[2022/05/18 18:58:34] ppcls INFO: gallery feature calculation process: [530/617] +[2022/05/18 18:58:35] ppcls INFO: gallery feature calculation process: [540/617] +[2022/05/18 18:58:36] ppcls INFO: gallery feature calculation process: [550/617] +[2022/05/18 18:58:37] ppcls INFO: gallery feature calculation process: [560/617] +[2022/05/18 18:58:37] ppcls INFO: gallery feature calculation process: [570/617] +[2022/05/18 18:58:38] ppcls INFO: gallery feature calculation process: [580/617] +[2022/05/18 18:58:39] ppcls INFO: gallery feature calculation process: [590/617] +[2022/05/18 18:58:40] ppcls INFO: gallery feature calculation process: [600/617] +[2022/05/18 18:58:41] ppcls INFO: gallery feature calculation process: [610/617] +[2022/05/18 18:58:41] ppcls INFO: Build gallery done, all feat shape: [39457, 1280], begin to eval.. +[2022/05/18 18:58:42] ppcls INFO: query feature calculation process: [0/617] +[2022/05/18 18:58:43] ppcls INFO: query feature calculation process: [10/617] +[2022/05/18 18:58:43] ppcls INFO: query feature calculation process: [20/617] +[2022/05/18 18:58:44] ppcls INFO: query feature calculation process: [30/617] +[2022/05/18 18:58:45] ppcls INFO: query feature calculation process: [40/617] +[2022/05/18 18:58:45] ppcls INFO: query feature calculation process: [50/617] +[2022/05/18 18:58:46] ppcls INFO: query feature calculation process: [60/617] +[2022/05/18 18:58:47] ppcls INFO: query feature calculation process: [70/617] +[2022/05/18 18:58:48] ppcls INFO: query feature calculation process: [80/617] +[2022/05/18 18:58:48] ppcls INFO: query feature calculation process: [90/617] +[2022/05/18 18:58:49] ppcls INFO: query feature calculation process: [100/617] +[2022/05/18 18:58:50] ppcls INFO: query feature calculation process: [110/617] +[2022/05/18 18:58:51] ppcls INFO: query feature calculation process: [120/617] +[2022/05/18 18:58:51] ppcls INFO: query feature calculation process: [130/617] +[2022/05/18 18:58:52] ppcls INFO: query feature calculation process: [140/617] +[2022/05/18 18:58:53] ppcls INFO: query feature calculation process: [150/617] +[2022/05/18 18:58:54] ppcls INFO: query feature calculation process: [160/617] +[2022/05/18 18:58:54] ppcls INFO: query feature calculation process: [170/617] +[2022/05/18 18:58:55] ppcls INFO: query feature calculation process: [180/617] +[2022/05/18 18:58:56] ppcls INFO: query feature calculation process: [190/617] +[2022/05/18 18:58:56] ppcls INFO: query feature calculation process: [200/617] +[2022/05/18 18:58:57] ppcls INFO: query feature calculation process: [210/617] +[2022/05/18 18:58:58] ppcls INFO: query feature calculation process: [220/617] +[2022/05/18 18:58:59] ppcls INFO: query feature calculation process: [230/617] +[2022/05/18 18:58:59] ppcls INFO: query feature calculation process: [240/617] +[2022/05/18 18:59:00] ppcls INFO: query feature calculation process: [250/617] +[2022/05/18 18:59:01] ppcls INFO: query feature calculation process: [260/617] +[2022/05/18 18:59:02] ppcls INFO: query feature calculation process: [270/617] +[2022/05/18 18:59:02] ppcls INFO: query feature calculation process: [280/617] +[2022/05/18 18:59:03] ppcls INFO: query feature calculation process: [290/617] +[2022/05/18 18:59:04] ppcls INFO: query feature calculation process: [300/617] +[2022/05/18 18:59:04] ppcls INFO: query feature calculation process: [310/617] +[2022/05/18 18:59:05] ppcls INFO: query feature calculation process: [320/617] +[2022/05/18 18:59:06] ppcls INFO: query feature calculation process: [330/617] +[2022/05/18 18:59:06] ppcls INFO: query feature calculation process: [340/617] +[2022/05/18 18:59:07] ppcls INFO: query feature calculation process: [350/617] +[2022/05/18 18:59:08] ppcls INFO: query feature calculation process: [360/617] +[2022/05/18 18:59:09] ppcls INFO: query feature calculation process: [370/617] +[2022/05/18 18:59:10] ppcls INFO: query feature calculation process: [380/617] +[2022/05/18 18:59:11] ppcls INFO: query feature calculation process: [390/617] +[2022/05/18 18:59:12] ppcls INFO: query feature calculation process: [400/617] +[2022/05/18 18:59:13] ppcls INFO: query feature calculation process: [410/617] +[2022/05/18 18:59:13] ppcls INFO: query feature calculation process: [420/617] +[2022/05/18 18:59:14] ppcls INFO: query feature calculation process: [430/617] +[2022/05/18 18:59:15] ppcls INFO: query feature calculation process: [440/617] +[2022/05/18 18:59:16] ppcls INFO: query feature calculation process: [450/617] +[2022/05/18 18:59:16] ppcls INFO: query feature calculation process: [460/617] +[2022/05/18 18:59:17] ppcls INFO: query feature calculation process: [470/617] +[2022/05/18 18:59:18] ppcls INFO: query feature calculation process: [480/617] +[2022/05/18 18:59:18] ppcls INFO: query feature calculation process: [490/617] +[2022/05/18 18:59:19] ppcls INFO: query feature calculation process: [500/617] +[2022/05/18 18:59:20] ppcls INFO: query feature calculation process: [510/617] +[2022/05/18 18:59:21] ppcls INFO: query feature calculation process: [520/617] +[2022/05/18 18:59:22] ppcls INFO: query feature calculation process: [530/617] +[2022/05/18 18:59:22] ppcls INFO: query feature calculation process: [540/617] +[2022/05/18 18:59:23] ppcls INFO: query feature calculation process: [550/617] +[2022/05/18 18:59:24] ppcls INFO: query feature calculation process: [560/617] +[2022/05/18 18:59:25] ppcls INFO: query feature calculation process: [570/617] +[2022/05/18 18:59:26] ppcls INFO: query feature calculation process: [580/617] +[2022/05/18 18:59:27] ppcls INFO: query feature calculation process: [590/617] +[2022/05/18 18:59:27] ppcls INFO: query feature calculation process: [600/617] +[2022/05/18 18:59:29] ppcls INFO: query feature calculation process: [610/617] +[2022/05/18 18:59:29] ppcls INFO: Build query done, all feat shape: [39457, 1280], begin to eval.. +[2022/05/18 18:59:31] ppcls INFO: [Eval][Epoch 7][Avg]recall1: 0.92611, recall5: 0.96601 +[2022/05/18 18:59:31] ppcls INFO: Already save model in ./output/RecModel/best_model +[2022/05/18 18:59:31] ppcls INFO: [Eval][Epoch 7][best metric: 0.92610885183209] +[2022/05/18 18:59:32] ppcls INFO: Already save model in ./output/RecModel/epoch_7 +[2022/05/18 18:59:32] ppcls INFO: Already save model in ./output/RecModel/latest +[2022/05/18 18:59:35] ppcls INFO: [Train][Epoch 8/30][Iter: 0/1347]lr: 0.03937, CELoss: 1.65744, loss: 1.65744, batch_cost: 0.41309s, reader_cost: 0.03642, ips: 619.72371 images/sec, eta: 3:33:17 +[2022/05/18 18:59:39] ppcls INFO: [Train][Epoch 8/30][Iter: 10/1347]lr: 0.03937, CELoss: 1.89160, loss: 1.89160, batch_cost: 0.39401s, reader_cost: 0.02492, ips: 649.72409 images/sec, eta: 3:23:22 +[2022/05/18 18:59:43] ppcls INFO: [Train][Epoch 8/30][Iter: 20/1347]lr: 0.03936, CELoss: 1.88594, loss: 1.88594, batch_cost: 0.41625s, reader_cost: 0.04406, ips: 615.00939 images/sec, eta: 3:34:47 +[2022/05/18 18:59:47] ppcls INFO: [Train][Epoch 8/30][Iter: 30/1347]lr: 0.03936, CELoss: 1.90052, loss: 1.90052, batch_cost: 0.41009s, reader_cost: 0.03820, ips: 624.24889 images/sec, eta: 3:31:32 +[2022/05/18 18:59:51] ppcls INFO: [Train][Epoch 8/30][Iter: 40/1347]lr: 0.03935, CELoss: 1.90478, loss: 1.90478, batch_cost: 0.40996s, reader_cost: 0.03876, ips: 624.45734 images/sec, eta: 3:31:24 +[2022/05/18 18:59:55] ppcls INFO: [Train][Epoch 8/30][Iter: 50/1347]lr: 0.03935, CELoss: 1.89990, loss: 1.89990, batch_cost: 0.40799s, reader_cost: 0.03579, ips: 627.46515 images/sec, eta: 3:30:19 +[2022/05/18 18:59:59] ppcls INFO: [Train][Epoch 8/30][Iter: 60/1347]lr: 0.03934, CELoss: 1.89695, loss: 1.89695, batch_cost: 0.40711s, reader_cost: 0.03465, ips: 628.81621 images/sec, eta: 3:29:48 +[2022/05/18 19:00:03] ppcls INFO: [Train][Epoch 8/30][Iter: 70/1347]lr: 0.03934, CELoss: 1.90268, loss: 1.90268, batch_cost: 0.40244s, reader_cost: 0.02996, ips: 636.11480 images/sec, eta: 3:27:19 +[2022/05/18 19:00:07] ppcls INFO: [Train][Epoch 8/30][Iter: 80/1347]lr: 0.03933, CELoss: 1.90874, loss: 1.90874, batch_cost: 0.40025s, reader_cost: 0.02795, ips: 639.60267 images/sec, eta: 3:26:08 +[2022/05/18 19:00:11] ppcls INFO: [Train][Epoch 8/30][Iter: 90/1347]lr: 0.03933, CELoss: 1.91027, loss: 1.91027, batch_cost: 0.39994s, reader_cost: 0.02797, ips: 640.09710 images/sec, eta: 3:25:54 +[2022/05/18 19:00:15] ppcls INFO: [Train][Epoch 8/30][Iter: 100/1347]lr: 0.03932, CELoss: 1.91797, loss: 1.91797, batch_cost: 0.40472s, reader_cost: 0.03120, ips: 632.53764 images/sec, eta: 3:28:18 +[2022/05/18 19:00:19] ppcls INFO: [Train][Epoch 8/30][Iter: 110/1347]lr: 0.03932, CELoss: 1.92590, loss: 1.92590, batch_cost: 0.40620s, reader_cost: 0.03218, ips: 630.22942 images/sec, eta: 3:28:59 +[2022/05/18 19:00:23] ppcls INFO: [Train][Epoch 8/30][Iter: 120/1347]lr: 0.03931, CELoss: 1.92926, loss: 1.92926, batch_cost: 0.40682s, reader_cost: 0.03284, ips: 629.27837 images/sec, eta: 3:29:14 +[2022/05/18 19:00:27] ppcls INFO: [Train][Epoch 8/30][Iter: 130/1347]lr: 0.03931, CELoss: 1.92553, loss: 1.92553, batch_cost: 0.40521s, reader_cost: 0.03160, ips: 631.76895 images/sec, eta: 3:28:21 +[2022/05/18 19:00:31] ppcls INFO: [Train][Epoch 8/30][Iter: 140/1347]lr: 0.03930, CELoss: 1.92321, loss: 1.92321, batch_cost: 0.40583s, reader_cost: 0.03246, ips: 630.80709 images/sec, eta: 3:28:36 +[2022/05/18 19:00:35] ppcls INFO: [Train][Epoch 8/30][Iter: 150/1347]lr: 0.03930, CELoss: 1.92864, loss: 1.92864, batch_cost: 0.40610s, reader_cost: 0.03168, ips: 630.39005 images/sec, eta: 3:28:40 +[2022/05/18 19:00:40] ppcls INFO: [Train][Epoch 8/30][Iter: 160/1347]lr: 0.03929, CELoss: 1.92599, loss: 1.92599, batch_cost: 0.40993s, reader_cost: 0.03445, ips: 624.50328 images/sec, eta: 3:30:34 +[2022/05/18 19:00:45] ppcls INFO: [Train][Epoch 8/30][Iter: 170/1347]lr: 0.03929, CELoss: 1.92188, loss: 1.92188, batch_cost: 0.41199s, reader_cost: 0.03528, ips: 621.37983 images/sec, eta: 3:31:33 +[2022/05/18 19:00:49] ppcls INFO: [Train][Epoch 8/30][Iter: 180/1347]lr: 0.03928, CELoss: 1.92022, loss: 1.92022, batch_cost: 0.41504s, reader_cost: 0.03807, ips: 616.80768 images/sec, eta: 3:33:03 +[2022/05/18 19:00:53] ppcls INFO: [Train][Epoch 8/30][Iter: 190/1347]lr: 0.03928, CELoss: 1.92081, loss: 1.92081, batch_cost: 0.41425s, reader_cost: 0.03748, ips: 617.98148 images/sec, eta: 3:32:35 +[2022/05/18 19:00:57] ppcls INFO: [Train][Epoch 8/30][Iter: 200/1347]lr: 0.03927, CELoss: 1.91776, loss: 1.91776, batch_cost: 0.41231s, reader_cost: 0.03587, ips: 620.88954 images/sec, eta: 3:31:31 +[2022/05/18 19:01:01] ppcls INFO: [Train][Epoch 8/30][Iter: 210/1347]lr: 0.03927, CELoss: 1.91393, loss: 1.91393, batch_cost: 0.41110s, reader_cost: 0.03491, ips: 622.71616 images/sec, eta: 3:30:50 +[2022/05/18 19:01:05] ppcls INFO: [Train][Epoch 8/30][Iter: 220/1347]lr: 0.03927, CELoss: 1.91606, loss: 1.91606, batch_cost: 0.41085s, reader_cost: 0.03505, ips: 623.09401 images/sec, eta: 3:30:38 +[2022/05/18 19:01:09] ppcls INFO: [Train][Epoch 8/30][Iter: 230/1347]lr: 0.03926, CELoss: 1.91223, loss: 1.91223, batch_cost: 0.41037s, reader_cost: 0.03464, ips: 623.82808 images/sec, eta: 3:30:19 +[2022/05/18 19:01:13] ppcls INFO: [Train][Epoch 8/30][Iter: 240/1347]lr: 0.03925, CELoss: 1.90987, loss: 1.90987, batch_cost: 0.41010s, reader_cost: 0.03437, ips: 624.24091 images/sec, eta: 3:30:06 +[2022/05/18 19:01:17] ppcls INFO: [Train][Epoch 8/30][Iter: 250/1347]lr: 0.03925, CELoss: 1.90455, loss: 1.90455, batch_cost: 0.40952s, reader_cost: 0.03404, ips: 625.11933 images/sec, eta: 3:29:45 +[2022/05/18 19:01:21] ppcls INFO: [Train][Epoch 8/30][Iter: 260/1347]lr: 0.03924, CELoss: 1.90826, loss: 1.90826, batch_cost: 0.40993s, reader_cost: 0.03455, ips: 624.49849 images/sec, eta: 3:29:53 +[2022/05/18 19:01:25] ppcls INFO: [Train][Epoch 8/30][Iter: 270/1347]lr: 0.03924, CELoss: 1.91152, loss: 1.91152, batch_cost: 0.41046s, reader_cost: 0.03491, ips: 623.69608 images/sec, eta: 3:30:05 +[2022/05/18 19:01:29] ppcls INFO: [Train][Epoch 8/30][Iter: 280/1347]lr: 0.03923, CELoss: 1.90999, loss: 1.90999, batch_cost: 0.41052s, reader_cost: 0.03511, ips: 623.59344 images/sec, eta: 3:30:03 +[2022/05/18 19:01:33] ppcls INFO: [Train][Epoch 8/30][Iter: 290/1347]lr: 0.03923, CELoss: 1.90863, loss: 1.90863, batch_cost: 0.40973s, reader_cost: 0.03434, ips: 624.80447 images/sec, eta: 3:29:34 +[2022/05/18 19:01:37] ppcls INFO: [Train][Epoch 8/30][Iter: 300/1347]lr: 0.03922, CELoss: 1.90513, loss: 1.90513, batch_cost: 0.40947s, reader_cost: 0.03411, ips: 625.20446 images/sec, eta: 3:29:22 +[2022/05/18 19:01:41] ppcls INFO: [Train][Epoch 8/30][Iter: 310/1347]lr: 0.03922, CELoss: 1.90427, loss: 1.90427, batch_cost: 0.40885s, reader_cost: 0.03351, ips: 626.15066 images/sec, eta: 3:28:59 +[2022/05/18 19:01:45] ppcls INFO: [Train][Epoch 8/30][Iter: 320/1347]lr: 0.03921, CELoss: 1.90400, loss: 1.90400, batch_cost: 0.40850s, reader_cost: 0.03337, ips: 626.68979 images/sec, eta: 3:28:44 +[2022/05/18 19:01:49] ppcls INFO: [Train][Epoch 8/30][Iter: 330/1347]lr: 0.03921, CELoss: 1.90697, loss: 1.90697, batch_cost: 0.40884s, reader_cost: 0.03332, ips: 626.16888 images/sec, eta: 3:28:51 +[2022/05/18 19:01:55] ppcls INFO: [Train][Epoch 8/30][Iter: 340/1347]lr: 0.03920, CELoss: 1.90789, loss: 1.90789, batch_cost: 0.41185s, reader_cost: 0.03586, ips: 621.59272 images/sec, eta: 3:30:19 +[2022/05/18 19:01:59] ppcls INFO: [Train][Epoch 8/30][Iter: 350/1347]lr: 0.03920, CELoss: 1.91187, loss: 1.91187, batch_cost: 0.41323s, reader_cost: 0.03683, ips: 619.50614 images/sec, eta: 3:30:57 +[2022/05/18 19:02:04] ppcls INFO: [Train][Epoch 8/30][Iter: 360/1347]lr: 0.03919, CELoss: 1.91308, loss: 1.91308, batch_cost: 0.41398s, reader_cost: 0.03758, ips: 618.38404 images/sec, eta: 3:31:16 +[2022/05/18 19:02:07] ppcls INFO: [Train][Epoch 8/30][Iter: 370/1347]lr: 0.03919, CELoss: 1.91318, loss: 1.91318, batch_cost: 0.41323s, reader_cost: 0.03698, ips: 619.51273 images/sec, eta: 3:30:49 +[2022/05/18 19:02:11] ppcls INFO: [Train][Epoch 8/30][Iter: 380/1347]lr: 0.03918, CELoss: 1.91118, loss: 1.91118, batch_cost: 0.41290s, reader_cost: 0.03675, ips: 620.00682 images/sec, eta: 3:30:35 +[2022/05/18 19:02:15] ppcls INFO: [Train][Epoch 8/30][Iter: 390/1347]lr: 0.03918, CELoss: 1.91240, loss: 1.91240, batch_cost: 0.41211s, reader_cost: 0.03622, ips: 621.19636 images/sec, eta: 3:30:06 +[2022/05/18 19:02:19] ppcls INFO: [Train][Epoch 8/30][Iter: 400/1347]lr: 0.03917, CELoss: 1.90979, loss: 1.90979, batch_cost: 0.41205s, reader_cost: 0.03607, ips: 621.28288 images/sec, eta: 3:30:00 +[2022/05/18 19:02:23] ppcls INFO: [Train][Epoch 8/30][Iter: 410/1347]lr: 0.03917, CELoss: 1.91197, loss: 1.91197, batch_cost: 0.41200s, reader_cost: 0.03591, ips: 621.35361 images/sec, eta: 3:29:55 +[2022/05/18 19:02:27] ppcls INFO: [Train][Epoch 8/30][Iter: 420/1347]lr: 0.03916, CELoss: 1.91078, loss: 1.91078, batch_cost: 0.41113s, reader_cost: 0.03510, ips: 622.67572 images/sec, eta: 3:29:24 +[2022/05/18 19:02:31] ppcls INFO: [Train][Epoch 8/30][Iter: 430/1347]lr: 0.03916, CELoss: 1.91051, loss: 1.91051, batch_cost: 0.41144s, reader_cost: 0.03532, ips: 622.20599 images/sec, eta: 3:29:29 +[2022/05/18 19:02:36] ppcls INFO: [Train][Epoch 8/30][Iter: 440/1347]lr: 0.03915, CELoss: 1.90873, loss: 1.90873, batch_cost: 0.41140s, reader_cost: 0.03540, ips: 622.26214 images/sec, eta: 3:29:24 +[2022/05/18 19:02:40] ppcls INFO: [Train][Epoch 8/30][Iter: 450/1347]lr: 0.03915, CELoss: 1.90927, loss: 1.90927, batch_cost: 0.41098s, reader_cost: 0.03518, ips: 622.90317 images/sec, eta: 3:29:07 +[2022/05/18 19:02:43] ppcls INFO: [Train][Epoch 8/30][Iter: 460/1347]lr: 0.03914, CELoss: 1.90948, loss: 1.90948, batch_cost: 0.41068s, reader_cost: 0.03501, ips: 623.36113 images/sec, eta: 3:28:54 +[2022/05/18 19:02:47] ppcls INFO: [Train][Epoch 8/30][Iter: 470/1347]lr: 0.03913, CELoss: 1.91125, loss: 1.91125, batch_cost: 0.41045s, reader_cost: 0.03489, ips: 623.70985 images/sec, eta: 3:28:43 +[2022/05/18 19:02:51] ppcls INFO: [Train][Epoch 8/30][Iter: 480/1347]lr: 0.03913, CELoss: 1.91129, loss: 1.91129, batch_cost: 0.41006s, reader_cost: 0.03451, ips: 624.29164 images/sec, eta: 3:28:27 +[2022/05/18 19:02:56] ppcls INFO: [Train][Epoch 8/30][Iter: 490/1347]lr: 0.03912, CELoss: 1.90934, loss: 1.90934, batch_cost: 0.41007s, reader_cost: 0.03443, ips: 624.27981 images/sec, eta: 3:28:23 +[2022/05/18 19:03:00] ppcls INFO: [Train][Epoch 8/30][Iter: 500/1347]lr: 0.03912, CELoss: 1.90776, loss: 1.90776, batch_cost: 0.41030s, reader_cost: 0.03467, ips: 623.92810 images/sec, eta: 3:28:26 +[2022/05/18 19:03:04] ppcls INFO: [Train][Epoch 8/30][Iter: 510/1347]lr: 0.03911, CELoss: 1.90906, loss: 1.90906, batch_cost: 0.41052s, reader_cost: 0.03470, ips: 623.59862 images/sec, eta: 3:28:28 +[2022/05/18 19:03:09] ppcls INFO: [Train][Epoch 8/30][Iter: 520/1347]lr: 0.03911, CELoss: 1.90958, loss: 1.90958, batch_cost: 0.41214s, reader_cost: 0.03588, ips: 621.14443 images/sec, eta: 3:29:14 +[2022/05/18 19:03:13] ppcls INFO: [Train][Epoch 8/30][Iter: 530/1347]lr: 0.03910, CELoss: 1.90768, loss: 1.90768, batch_cost: 0.41305s, reader_cost: 0.03639, ips: 619.78620 images/sec, eta: 3:29:37 +[2022/05/18 19:03:18] ppcls INFO: [Train][Epoch 8/30][Iter: 540/1347]lr: 0.03910, CELoss: 1.90806, loss: 1.90806, batch_cost: 0.41336s, reader_cost: 0.03675, ips: 619.31740 images/sec, eta: 3:29:43 +[2022/05/18 19:03:22] ppcls INFO: [Train][Epoch 8/30][Iter: 550/1347]lr: 0.03909, CELoss: 1.90689, loss: 1.90689, batch_cost: 0.41295s, reader_cost: 0.03641, ips: 619.92755 images/sec, eta: 3:29:26 +[2022/05/18 19:03:26] ppcls INFO: [Train][Epoch 8/30][Iter: 560/1347]lr: 0.03908, CELoss: 1.90730, loss: 1.90730, batch_cost: 0.41306s, reader_cost: 0.03623, ips: 619.75909 images/sec, eta: 3:29:25 +[2022/05/18 19:03:30] ppcls INFO: [Train][Epoch 8/30][Iter: 570/1347]lr: 0.03908, CELoss: 1.90700, loss: 1.90700, batch_cost: 0.41265s, reader_cost: 0.03587, ips: 620.37667 images/sec, eta: 3:29:09 +[2022/05/18 19:03:34] ppcls INFO: [Train][Epoch 8/30][Iter: 580/1347]lr: 0.03907, CELoss: 1.90786, loss: 1.90786, batch_cost: 0.41253s, reader_cost: 0.03570, ips: 620.55805 images/sec, eta: 3:29:01 +[2022/05/18 19:03:38] ppcls INFO: [Train][Epoch 8/30][Iter: 590/1347]lr: 0.03907, CELoss: 1.90793, loss: 1.90793, batch_cost: 0.41284s, reader_cost: 0.03589, ips: 620.09028 images/sec, eta: 3:29:06 +[2022/05/18 19:03:42] ppcls INFO: [Train][Epoch 8/30][Iter: 600/1347]lr: 0.03906, CELoss: 1.90808, loss: 1.90808, batch_cost: 0.41285s, reader_cost: 0.03598, ips: 620.08610 images/sec, eta: 3:29:02 +[2022/05/18 19:03:46] ppcls INFO: [Train][Epoch 8/30][Iter: 610/1347]lr: 0.03906, CELoss: 1.90857, loss: 1.90857, batch_cost: 0.41264s, reader_cost: 0.03586, ips: 620.39893 images/sec, eta: 3:28:52 +[2022/05/18 19:03:50] ppcls INFO: [Train][Epoch 8/30][Iter: 620/1347]lr: 0.03905, CELoss: 1.90993, loss: 1.90993, batch_cost: 0.41236s, reader_cost: 0.03553, ips: 620.81252 images/sec, eta: 3:28:39 +[2022/05/18 19:03:54] ppcls INFO: [Train][Epoch 8/30][Iter: 630/1347]lr: 0.03905, CELoss: 1.90874, loss: 1.90874, batch_cost: 0.41186s, reader_cost: 0.03497, ips: 621.57706 images/sec, eta: 3:28:20 +[2022/05/18 19:03:58] ppcls INFO: [Train][Epoch 8/30][Iter: 640/1347]lr: 0.03904, CELoss: 1.90838, loss: 1.90838, batch_cost: 0.41197s, reader_cost: 0.03495, ips: 621.40238 images/sec, eta: 3:28:19 +[2022/05/18 19:04:02] ppcls INFO: [Train][Epoch 8/30][Iter: 650/1347]lr: 0.03903, CELoss: 1.90938, loss: 1.90938, batch_cost: 0.41163s, reader_cost: 0.03461, ips: 621.91737 images/sec, eta: 3:28:05 +[2022/05/18 19:04:06] ppcls INFO: [Train][Epoch 8/30][Iter: 660/1347]lr: 0.03903, CELoss: 1.90823, loss: 1.90823, batch_cost: 0.41141s, reader_cost: 0.03454, ips: 622.24742 images/sec, eta: 3:27:54 +[2022/05/18 19:04:10] ppcls INFO: [Train][Epoch 8/30][Iter: 670/1347]lr: 0.03902, CELoss: 1.90785, loss: 1.90785, batch_cost: 0.41123s, reader_cost: 0.03440, ips: 622.52211 images/sec, eta: 3:27:44 +[2022/05/18 19:04:14] ppcls INFO: [Train][Epoch 8/30][Iter: 680/1347]lr: 0.03902, CELoss: 1.90642, loss: 1.90642, batch_cost: 0.41096s, reader_cost: 0.03411, ips: 622.92841 images/sec, eta: 3:27:32 +[2022/05/18 19:04:18] ppcls INFO: [Train][Epoch 8/30][Iter: 690/1347]lr: 0.03901, CELoss: 1.90525, loss: 1.90525, batch_cost: 0.41145s, reader_cost: 0.03436, ips: 622.19332 images/sec, eta: 3:27:43 +[2022/05/18 19:04:23] ppcls INFO: [Train][Epoch 8/30][Iter: 700/1347]lr: 0.03901, CELoss: 1.90549, loss: 1.90549, batch_cost: 0.41237s, reader_cost: 0.03507, ips: 620.80363 images/sec, eta: 3:28:06 +[2022/05/18 19:04:28] ppcls INFO: [Train][Epoch 8/30][Iter: 710/1347]lr: 0.03900, CELoss: 1.90561, loss: 1.90561, batch_cost: 0.41282s, reader_cost: 0.03541, ips: 620.12558 images/sec, eta: 3:28:16 +[2022/05/18 19:04:32] ppcls INFO: [Train][Epoch 8/30][Iter: 720/1347]lr: 0.03899, CELoss: 1.90495, loss: 1.90495, batch_cost: 0.41314s, reader_cost: 0.03584, ips: 619.64732 images/sec, eta: 3:28:21 +[2022/05/18 19:04:36] ppcls INFO: [Train][Epoch 8/30][Iter: 730/1347]lr: 0.03899, CELoss: 1.90595, loss: 1.90595, batch_cost: 0.41282s, reader_cost: 0.03552, ips: 620.12430 images/sec, eta: 3:28:08 +[2022/05/18 19:04:40] ppcls INFO: [Train][Epoch 8/30][Iter: 740/1347]lr: 0.03898, CELoss: 1.90626, loss: 1.90626, batch_cost: 0.41264s, reader_cost: 0.03543, ips: 620.39124 images/sec, eta: 3:27:58 +[2022/05/18 19:04:44] ppcls INFO: [Train][Epoch 8/30][Iter: 750/1347]lr: 0.03898, CELoss: 1.90700, loss: 1.90700, batch_cost: 0.41267s, reader_cost: 0.03543, ips: 620.35791 images/sec, eta: 3:27:55 +[2022/05/18 19:04:48] ppcls INFO: [Train][Epoch 8/30][Iter: 760/1347]lr: 0.03897, CELoss: 1.90627, loss: 1.90627, batch_cost: 0.41253s, reader_cost: 0.03533, ips: 620.55560 images/sec, eta: 3:27:47 +[2022/05/18 19:04:52] ppcls INFO: [Train][Epoch 8/30][Iter: 770/1347]lr: 0.03896, CELoss: 1.90653, loss: 1.90653, batch_cost: 0.41215s, reader_cost: 0.03507, ips: 621.12877 images/sec, eta: 3:27:31 +[2022/05/18 19:04:56] ppcls INFO: [Train][Epoch 8/30][Iter: 780/1347]lr: 0.03896, CELoss: 1.90678, loss: 1.90678, batch_cost: 0.41204s, reader_cost: 0.03500, ips: 621.29706 images/sec, eta: 3:27:24 +[2022/05/18 19:05:00] ppcls INFO: [Train][Epoch 8/30][Iter: 790/1347]lr: 0.03895, CELoss: 1.90694, loss: 1.90694, batch_cost: 0.41163s, reader_cost: 0.03456, ips: 621.91431 images/sec, eta: 3:27:07 +[2022/05/18 19:05:04] ppcls INFO: [Train][Epoch 8/30][Iter: 800/1347]lr: 0.03895, CELoss: 1.90712, loss: 1.90712, batch_cost: 0.41171s, reader_cost: 0.03465, ips: 621.79550 images/sec, eta: 3:27:05 +[2022/05/18 19:05:08] ppcls INFO: [Train][Epoch 8/30][Iter: 810/1347]lr: 0.03894, CELoss: 1.90763, loss: 1.90763, batch_cost: 0.41142s, reader_cost: 0.03438, ips: 622.24136 images/sec, eta: 3:26:52 +[2022/05/18 19:05:12] ppcls INFO: [Train][Epoch 8/30][Iter: 820/1347]lr: 0.03893, CELoss: 1.90897, loss: 1.90897, batch_cost: 0.41129s, reader_cost: 0.03428, ips: 622.43485 images/sec, eta: 3:26:44 +[2022/05/18 19:05:16] ppcls INFO: [Train][Epoch 8/30][Iter: 830/1347]lr: 0.03893, CELoss: 1.90979, loss: 1.90979, batch_cost: 0.41094s, reader_cost: 0.03403, ips: 622.95786 images/sec, eta: 3:26:30 +[2022/05/18 19:05:20] ppcls INFO: [Train][Epoch 8/30][Iter: 840/1347]lr: 0.03892, CELoss: 1.91007, loss: 1.91007, batch_cost: 0.41093s, reader_cost: 0.03413, ips: 622.97569 images/sec, eta: 3:26:25 +[2022/05/18 19:05:24] ppcls INFO: [Train][Epoch 8/30][Iter: 850/1347]lr: 0.03892, CELoss: 1.90986, loss: 1.90986, batch_cost: 0.41088s, reader_cost: 0.03417, ips: 623.05794 images/sec, eta: 3:26:20 +[2022/05/18 19:05:28] ppcls INFO: [Train][Epoch 8/30][Iter: 860/1347]lr: 0.03891, CELoss: 1.90986, loss: 1.90986, batch_cost: 0.41067s, reader_cost: 0.03395, ips: 623.36811 images/sec, eta: 3:26:09 +[2022/05/18 19:05:33] ppcls INFO: [Train][Epoch 8/30][Iter: 870/1347]lr: 0.03890, CELoss: 1.90915, loss: 1.90915, batch_cost: 0.41147s, reader_cost: 0.03455, ips: 622.15654 images/sec, eta: 3:26:29 +[2022/05/18 19:05:37] ppcls INFO: [Train][Epoch 8/30][Iter: 880/1347]lr: 0.03890, CELoss: 1.90858, loss: 1.90858, batch_cost: 0.41191s, reader_cost: 0.03484, ips: 621.49506 images/sec, eta: 3:26:38 +[2022/05/18 19:05:42] ppcls INFO: [Train][Epoch 8/30][Iter: 890/1347]lr: 0.03889, CELoss: 1.90831, loss: 1.90831, batch_cost: 0.41258s, reader_cost: 0.03545, ips: 620.48713 images/sec, eta: 3:26:54 +[2022/05/18 19:05:46] ppcls INFO: [Train][Epoch 8/30][Iter: 900/1347]lr: 0.03889, CELoss: 1.90775, loss: 1.90775, batch_cost: 0.41249s, reader_cost: 0.03537, ips: 620.62326 images/sec, eta: 3:26:48 +[2022/05/18 19:05:50] ppcls INFO: [Train][Epoch 8/30][Iter: 910/1347]lr: 0.03888, CELoss: 1.90789, loss: 1.90789, batch_cost: 0.41254s, reader_cost: 0.03537, ips: 620.55061 images/sec, eta: 3:26:45 +[2022/05/18 19:05:54] ppcls INFO: [Train][Epoch 8/30][Iter: 920/1347]lr: 0.03887, CELoss: 1.90741, loss: 1.90741, batch_cost: 0.41233s, reader_cost: 0.03526, ips: 620.85845 images/sec, eta: 3:26:35 +[2022/05/18 19:05:58] ppcls INFO: [Train][Epoch 8/30][Iter: 930/1347]lr: 0.03887, CELoss: 1.90619, loss: 1.90619, batch_cost: 0.41224s, reader_cost: 0.03507, ips: 621.00276 images/sec, eta: 3:26:28 +[2022/05/18 19:06:02] ppcls INFO: [Train][Epoch 8/30][Iter: 940/1347]lr: 0.03886, CELoss: 1.90531, loss: 1.90531, batch_cost: 0.41192s, reader_cost: 0.03485, ips: 621.47647 images/sec, eta: 3:26:14 +[2022/05/18 19:06:06] ppcls INFO: [Train][Epoch 8/30][Iter: 950/1347]lr: 0.03885, CELoss: 1.90389, loss: 1.90389, batch_cost: 0.41204s, reader_cost: 0.03496, ips: 621.30579 images/sec, eta: 3:26:13 +[2022/05/18 19:06:10] ppcls INFO: [Train][Epoch 8/30][Iter: 960/1347]lr: 0.03885, CELoss: 1.90419, loss: 1.90419, batch_cost: 0.41192s, reader_cost: 0.03489, ips: 621.48321 images/sec, eta: 3:26:06 +[2022/05/18 19:06:14] ppcls INFO: [Train][Epoch 8/30][Iter: 970/1347]lr: 0.03884, CELoss: 1.90353, loss: 1.90353, batch_cost: 0.41183s, reader_cost: 0.03483, ips: 621.61850 images/sec, eta: 3:25:59 +[2022/05/18 19:06:18] ppcls INFO: [Train][Epoch 8/30][Iter: 980/1347]lr: 0.03884, CELoss: 1.90245, loss: 1.90245, batch_cost: 0.41167s, reader_cost: 0.03476, ips: 621.85961 images/sec, eta: 3:25:50 +[2022/05/18 19:06:22] ppcls INFO: [Train][Epoch 8/30][Iter: 990/1347]lr: 0.03883, CELoss: 1.90225, loss: 1.90225, batch_cost: 0.41159s, reader_cost: 0.03471, ips: 621.98243 images/sec, eta: 3:25:43 +[2022/05/18 19:06:26] ppcls INFO: [Train][Epoch 8/30][Iter: 1000/1347]lr: 0.03882, CELoss: 1.90123, loss: 1.90123, batch_cost: 0.41130s, reader_cost: 0.03452, ips: 622.42114 images/sec, eta: 3:25:31 +[2022/05/18 19:06:30] ppcls INFO: [Train][Epoch 8/30][Iter: 1010/1347]lr: 0.03882, CELoss: 1.90114, loss: 1.90114, batch_cost: 0.41132s, reader_cost: 0.03442, ips: 622.39278 images/sec, eta: 3:25:27 +[2022/05/18 19:06:34] ppcls INFO: [Train][Epoch 8/30][Iter: 1020/1347]lr: 0.03881, CELoss: 1.90027, loss: 1.90027, batch_cost: 0.41103s, reader_cost: 0.03423, ips: 622.81907 images/sec, eta: 3:25:14 +[2022/05/18 19:06:38] ppcls INFO: [Train][Epoch 8/30][Iter: 1030/1347]lr: 0.03880, CELoss: 1.89970, loss: 1.89970, batch_cost: 0.41121s, reader_cost: 0.03430, ips: 622.55002 images/sec, eta: 3:25:16 +[2022/05/18 19:06:42] ppcls INFO: [Train][Epoch 8/30][Iter: 1040/1347]lr: 0.03880, CELoss: 1.89895, loss: 1.89895, batch_cost: 0.41108s, reader_cost: 0.03408, ips: 622.74593 images/sec, eta: 3:25:08 +[2022/05/18 19:06:47] ppcls INFO: [Train][Epoch 8/30][Iter: 1050/1347]lr: 0.03879, CELoss: 1.89971, loss: 1.89971, batch_cost: 0.41145s, reader_cost: 0.03434, ips: 622.18537 images/sec, eta: 3:25:15 +[2022/05/18 19:06:51] ppcls INFO: [Train][Epoch 8/30][Iter: 1060/1347]lr: 0.03879, CELoss: 1.89883, loss: 1.89883, batch_cost: 0.41184s, reader_cost: 0.03457, ips: 621.60570 images/sec, eta: 3:25:22 +[2022/05/18 19:06:56] ppcls INFO: [Train][Epoch 8/30][Iter: 1070/1347]lr: 0.03878, CELoss: 1.89909, loss: 1.89909, batch_cost: 0.41238s, reader_cost: 0.03496, ips: 620.78525 images/sec, eta: 3:25:34 +[2022/05/18 19:07:00] ppcls INFO: [Train][Epoch 8/30][Iter: 1080/1347]lr: 0.03877, CELoss: 1.89889, loss: 1.89889, batch_cost: 0.41237s, reader_cost: 0.03495, ips: 620.79990 images/sec, eta: 3:25:30 +[2022/05/18 19:07:04] ppcls INFO: [Train][Epoch 8/30][Iter: 1090/1347]lr: 0.03877, CELoss: 1.89754, loss: 1.89754, batch_cost: 0.41223s, reader_cost: 0.03482, ips: 621.01786 images/sec, eta: 3:25:21 +[2022/05/18 19:07:08] ppcls INFO: [Train][Epoch 8/30][Iter: 1100/1347]lr: 0.03876, CELoss: 1.89646, loss: 1.89646, batch_cost: 0.41223s, reader_cost: 0.03473, ips: 621.00995 images/sec, eta: 3:25:17 +[2022/05/18 19:07:12] ppcls INFO: [Train][Epoch 8/30][Iter: 1110/1347]lr: 0.03875, CELoss: 1.89524, loss: 1.89524, batch_cost: 0.41209s, reader_cost: 0.03465, ips: 621.21998 images/sec, eta: 3:25:09 +[2022/05/18 19:07:16] ppcls INFO: [Train][Epoch 8/30][Iter: 1120/1347]lr: 0.03875, CELoss: 1.89413, loss: 1.89413, batch_cost: 0.41189s, reader_cost: 0.03449, ips: 621.51893 images/sec, eta: 3:24:59 +[2022/05/18 19:07:20] ppcls INFO: [Train][Epoch 8/30][Iter: 1130/1347]lr: 0.03874, CELoss: 1.89336, loss: 1.89336, batch_cost: 0.41179s, reader_cost: 0.03437, ips: 621.67900 images/sec, eta: 3:24:52 +[2022/05/18 19:07:24] ppcls INFO: [Train][Epoch 8/30][Iter: 1140/1347]lr: 0.03873, CELoss: 1.89316, loss: 1.89316, batch_cost: 0.41166s, reader_cost: 0.03422, ips: 621.87893 images/sec, eta: 3:24:44 +[2022/05/18 19:07:28] ppcls INFO: [Train][Epoch 8/30][Iter: 1150/1347]lr: 0.03873, CELoss: 1.89267, loss: 1.89267, batch_cost: 0.41151s, reader_cost: 0.03410, ips: 622.09687 images/sec, eta: 3:24:35 +[2022/05/18 19:07:32] ppcls INFO: [Train][Epoch 8/30][Iter: 1160/1347]lr: 0.03872, CELoss: 1.89133, loss: 1.89133, batch_cost: 0.41137s, reader_cost: 0.03397, ips: 622.31682 images/sec, eta: 3:24:27 +[2022/05/18 19:07:36] ppcls INFO: [Train][Epoch 8/30][Iter: 1170/1347]lr: 0.03871, CELoss: 1.89024, loss: 1.89024, batch_cost: 0.41129s, reader_cost: 0.03396, ips: 622.42678 images/sec, eta: 3:24:21 +[2022/05/18 19:07:40] ppcls INFO: [Train][Epoch 8/30][Iter: 1180/1347]lr: 0.03871, CELoss: 1.89052, loss: 1.89052, batch_cost: 0.41111s, reader_cost: 0.03379, ips: 622.70050 images/sec, eta: 3:24:11 +[2022/05/18 19:07:44] ppcls INFO: [Train][Epoch 8/30][Iter: 1190/1347]lr: 0.03870, CELoss: 1.88915, loss: 1.88915, batch_cost: 0.41110s, reader_cost: 0.03376, ips: 622.71705 images/sec, eta: 3:24:07 +[2022/05/18 19:07:48] ppcls INFO: [Train][Epoch 8/30][Iter: 1200/1347]lr: 0.03869, CELoss: 1.88795, loss: 1.88795, batch_cost: 0.41095s, reader_cost: 0.03366, ips: 622.94480 images/sec, eta: 3:23:58 +[2022/05/18 19:07:52] ppcls INFO: [Train][Epoch 8/30][Iter: 1210/1347]lr: 0.03869, CELoss: 1.88710, loss: 1.88710, batch_cost: 0.41092s, reader_cost: 0.03363, ips: 622.99826 images/sec, eta: 3:23:53 +[2022/05/18 19:07:56] ppcls INFO: [Train][Epoch 8/30][Iter: 1220/1347]lr: 0.03868, CELoss: 1.88726, loss: 1.88726, batch_cost: 0.41083s, reader_cost: 0.03344, ips: 623.13437 images/sec, eta: 3:23:46 +[2022/05/18 19:08:01] ppcls INFO: [Train][Epoch 8/30][Iter: 1230/1347]lr: 0.03867, CELoss: 1.88755, loss: 1.88755, batch_cost: 0.41139s, reader_cost: 0.03386, ips: 622.27921 images/sec, eta: 3:23:59 +[2022/05/18 19:08:06] ppcls INFO: [Train][Epoch 8/30][Iter: 1240/1347]lr: 0.03867, CELoss: 1.88693, loss: 1.88693, batch_cost: 0.41211s, reader_cost: 0.03443, ips: 621.19987 images/sec, eta: 3:24:16 +[2022/05/18 19:08:10] ppcls INFO: [Train][Epoch 8/30][Iter: 1250/1347]lr: 0.03866, CELoss: 1.88633, loss: 1.88633, batch_cost: 0.41249s, reader_cost: 0.03481, ips: 620.62316 images/sec, eta: 3:24:23 +[2022/05/18 19:08:14] ppcls INFO: [Train][Epoch 8/30][Iter: 1260/1347]lr: 0.03865, CELoss: 1.88576, loss: 1.88576, batch_cost: 0.41244s, reader_cost: 0.03476, ips: 620.69560 images/sec, eta: 3:24:18 +[2022/05/18 19:08:18] ppcls INFO: [Train][Epoch 8/30][Iter: 1270/1347]lr: 0.03865, CELoss: 1.88562, loss: 1.88562, batch_cost: 0.41237s, reader_cost: 0.03474, ips: 620.80059 images/sec, eta: 3:24:11 +[2022/05/18 19:08:22] ppcls INFO: [Train][Epoch 8/30][Iter: 1280/1347]lr: 0.03864, CELoss: 1.88588, loss: 1.88588, batch_cost: 0.41233s, reader_cost: 0.03469, ips: 620.85768 images/sec, eta: 3:24:06 +[2022/05/18 19:08:26] ppcls INFO: [Train][Epoch 8/30][Iter: 1290/1347]lr: 0.03863, CELoss: 1.88552, loss: 1.88552, batch_cost: 0.41220s, reader_cost: 0.03462, ips: 621.05253 images/sec, eta: 3:23:58 +[2022/05/18 19:08:30] ppcls INFO: [Train][Epoch 8/30][Iter: 1300/1347]lr: 0.03863, CELoss: 1.88447, loss: 1.88447, batch_cost: 0.41215s, reader_cost: 0.03459, ips: 621.13648 images/sec, eta: 3:23:52 +[2022/05/18 19:08:34] ppcls INFO: [Train][Epoch 8/30][Iter: 1310/1347]lr: 0.03862, CELoss: 1.88538, loss: 1.88538, batch_cost: 0.41207s, reader_cost: 0.03453, ips: 621.26107 images/sec, eta: 3:23:46 +[2022/05/18 19:08:38] ppcls INFO: [Train][Epoch 8/30][Iter: 1320/1347]lr: 0.03861, CELoss: 1.88511, loss: 1.88511, batch_cost: 0.41191s, reader_cost: 0.03437, ips: 621.48825 images/sec, eta: 3:23:37 +[2022/05/18 19:08:42] ppcls INFO: [Train][Epoch 8/30][Iter: 1330/1347]lr: 0.03861, CELoss: 1.88494, loss: 1.88494, batch_cost: 0.41181s, reader_cost: 0.03425, ips: 621.64936 images/sec, eta: 3:23:30 +[2022/05/18 19:08:47] ppcls INFO: [Train][Epoch 8/30][Iter: 1340/1347]lr: 0.03860, CELoss: 1.88498, loss: 1.88498, batch_cost: 0.41191s, reader_cost: 0.03434, ips: 621.49461 images/sec, eta: 3:23:29 +[2022/05/18 19:08:49] ppcls INFO: [Train][Epoch 8/30][Avg]CELoss: 1.88484, loss: 1.88484 +[2022/05/18 19:08:50] ppcls INFO: gallery feature calculation process: [0/617] +[2022/05/18 19:08:51] ppcls INFO: gallery feature calculation process: [10/617] +[2022/05/18 19:08:51] ppcls INFO: gallery feature calculation process: [20/617] +[2022/05/18 19:08:52] ppcls INFO: gallery feature calculation 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feature calculation process: [510/617] +[2022/05/18 19:10:18] ppcls INFO: query feature calculation process: [520/617] +[2022/05/18 19:10:19] ppcls INFO: query feature calculation process: [530/617] +[2022/05/18 19:10:19] ppcls INFO: query feature calculation process: [540/617] +[2022/05/18 19:10:20] ppcls INFO: query feature calculation process: [550/617] +[2022/05/18 19:10:21] ppcls INFO: query feature calculation process: [560/617] +[2022/05/18 19:10:22] ppcls INFO: query feature calculation process: [570/617] +[2022/05/18 19:10:23] ppcls INFO: query feature calculation process: [580/617] +[2022/05/18 19:10:24] ppcls INFO: query feature calculation process: [590/617] +[2022/05/18 19:10:25] ppcls INFO: query feature calculation process: [600/617] +[2022/05/18 19:10:26] ppcls INFO: query feature calculation process: [610/617] +[2022/05/18 19:10:26] ppcls INFO: Build query done, all feat shape: [39457, 1280], begin to eval.. +[2022/05/18 19:10:28] ppcls INFO: [Eval][Epoch 8][Avg]recall1: 0.92298, recall5: 0.96508 +[2022/05/18 19:10:28] ppcls INFO: [Eval][Epoch 8][best metric: 0.92610885183209] +[2022/05/18 19:10:28] ppcls INFO: Already save model in ./output/RecModel/epoch_8 +[2022/05/18 19:10:29] ppcls INFO: Already save model in ./output/RecModel/latest +[2022/05/18 19:10:31] ppcls INFO: [Train][Epoch 9/30][Iter: 0/1347]lr: 0.03859, CELoss: 1.83157, loss: 1.83157, batch_cost: 0.41332s, reader_cost: 0.03581, ips: 619.38132 images/sec, eta: 3:24:08 +[2022/05/18 19:10:35] ppcls INFO: [Train][Epoch 9/30][Iter: 10/1347]lr: 0.03859, CELoss: 1.74199, loss: 1.74199, batch_cost: 0.39341s, reader_cost: 0.02779, ips: 650.72133 images/sec, eta: 3:14:14 +[2022/05/18 19:10:39] ppcls INFO: [Train][Epoch 9/30][Iter: 20/1347]lr: 0.03858, CELoss: 1.71282, loss: 1.71282, batch_cost: 0.39308s, reader_cost: 0.01917, ips: 651.26295 images/sec, eta: 3:14:00 +[2022/05/18 19:10:43] ppcls INFO: [Train][Epoch 9/30][Iter: 30/1347]lr: 0.03857, CELoss: 1.74302, loss: 1.74302, batch_cost: 0.39460s, reader_cost: 0.01909, ips: 648.75975 images/sec, eta: 3:14:41 +[2022/05/18 19:10:47] ppcls INFO: [Train][Epoch 9/30][Iter: 40/1347]lr: 0.03857, CELoss: 1.75983, loss: 1.75983, batch_cost: 0.39608s, reader_cost: 0.02066, ips: 646.33373 images/sec, eta: 3:15:21 +[2022/05/18 19:10:52] ppcls INFO: [Train][Epoch 9/30][Iter: 50/1347]lr: 0.03856, CELoss: 1.74558, loss: 1.74558, batch_cost: 0.40174s, reader_cost: 0.02650, ips: 637.23589 images/sec, eta: 3:18:04 +[2022/05/18 19:10:56] ppcls INFO: [Train][Epoch 9/30][Iter: 60/1347]lr: 0.03855, CELoss: 1.74986, loss: 1.74986, batch_cost: 0.40578s, reader_cost: 0.03082, ips: 630.88727 images/sec, eta: 3:20:00 +[2022/05/18 19:11:00] ppcls INFO: [Train][Epoch 9/30][Iter: 70/1347]lr: 0.03855, CELoss: 1.76443, loss: 1.76443, batch_cost: 0.40846s, reader_cost: 0.03311, ips: 626.75067 images/sec, eta: 3:21:15 +[2022/05/18 19:11:04] ppcls INFO: [Train][Epoch 9/30][Iter: 80/1347]lr: 0.03854, CELoss: 1.76894, loss: 1.76894, batch_cost: 0.40558s, reader_cost: 0.03054, ips: 631.20037 images/sec, eta: 3:19:46 +[2022/05/18 19:11:08] ppcls INFO: [Train][Epoch 9/30][Iter: 90/1347]lr: 0.03853, CELoss: 1.76369, loss: 1.76369, batch_cost: 0.40555s, reader_cost: 0.03020, ips: 631.23612 images/sec, eta: 3:19:41 +[2022/05/18 19:11:12] ppcls INFO: [Train][Epoch 9/30][Iter: 100/1347]lr: 0.03853, CELoss: 1.77291, loss: 1.77291, batch_cost: 0.40331s, reader_cost: 0.02713, ips: 634.74316 images/sec, eta: 3:18:31 +[2022/05/18 19:11:16] ppcls INFO: [Train][Epoch 9/30][Iter: 110/1347]lr: 0.03852, CELoss: 1.77030, loss: 1.77030, batch_cost: 0.40205s, reader_cost: 0.02583, ips: 636.74280 images/sec, eta: 3:17:50 +[2022/05/18 19:11:20] ppcls INFO: [Train][Epoch 9/30][Iter: 120/1347]lr: 0.03851, CELoss: 1.78374, loss: 1.78374, batch_cost: 0.40304s, reader_cost: 0.02619, ips: 635.17531 images/sec, eta: 3:18:15 +[2022/05/18 19:11:25] ppcls INFO: [Train][Epoch 9/30][Iter: 130/1347]lr: 0.03850, CELoss: 1.78023, loss: 1.78023, batch_cost: 0.40834s, reader_cost: 0.03070, ips: 626.93039 images/sec, eta: 3:20:47 +[2022/05/18 19:11:28] ppcls INFO: [Train][Epoch 9/30][Iter: 140/1347]lr: 0.03850, CELoss: 1.78311, loss: 1.78311, batch_cost: 0.40677s, reader_cost: 0.02961, ips: 629.35505 images/sec, eta: 3:19:57 +[2022/05/18 19:11:33] ppcls INFO: [Train][Epoch 9/30][Iter: 150/1347]lr: 0.03849, CELoss: 1.78472, loss: 1.78472, batch_cost: 0.40758s, reader_cost: 0.02972, ips: 628.10187 images/sec, eta: 3:20:17 +[2022/05/18 19:11:37] ppcls INFO: [Train][Epoch 9/30][Iter: 160/1347]lr: 0.03848, CELoss: 1.78655, loss: 1.78655, batch_cost: 0.40993s, reader_cost: 0.03187, ips: 624.49210 images/sec, eta: 3:21:22 +[2022/05/18 19:11:42] ppcls INFO: [Train][Epoch 9/30][Iter: 170/1347]lr: 0.03848, CELoss: 1.78855, loss: 1.78855, batch_cost: 0.41415s, reader_cost: 0.03554, ips: 618.13537 images/sec, eta: 3:23:22 +[2022/05/18 19:11:46] ppcls INFO: [Train][Epoch 9/30][Iter: 180/1347]lr: 0.03847, CELoss: 1.78058, loss: 1.78058, batch_cost: 0.41485s, reader_cost: 0.03607, ips: 617.09484 images/sec, eta: 3:23:38 +[2022/05/18 19:11:50] ppcls INFO: [Train][Epoch 9/30][Iter: 190/1347]lr: 0.03846, CELoss: 1.77999, loss: 1.77999, batch_cost: 0.41484s, reader_cost: 0.03637, ips: 617.10673 images/sec, eta: 3:23:34 +[2022/05/18 19:11:55] ppcls INFO: [Train][Epoch 9/30][Iter: 200/1347]lr: 0.03845, CELoss: 1.77840, loss: 1.77840, batch_cost: 0.41519s, reader_cost: 0.03672, ips: 616.59164 images/sec, eta: 3:23:40 +[2022/05/18 19:11:59] ppcls INFO: [Train][Epoch 9/30][Iter: 210/1347]lr: 0.03845, CELoss: 1.78084, loss: 1.78084, batch_cost: 0.41496s, reader_cost: 0.03644, ips: 616.93054 images/sec, eta: 3:23:29 +[2022/05/18 19:12:02] ppcls INFO: [Train][Epoch 9/30][Iter: 220/1347]lr: 0.03844, CELoss: 1.77977, loss: 1.77977, batch_cost: 0.41363s, reader_cost: 0.03536, ips: 618.90727 images/sec, eta: 3:22:46 +[2022/05/18 19:12:06] ppcls INFO: [Train][Epoch 9/30][Iter: 230/1347]lr: 0.03843, CELoss: 1.77581, loss: 1.77581, batch_cost: 0.41311s, reader_cost: 0.03503, ips: 619.69120 images/sec, eta: 3:22:27 +[2022/05/18 19:12:10] ppcls INFO: [Train][Epoch 9/30][Iter: 240/1347]lr: 0.03843, CELoss: 1.77438, loss: 1.77438, batch_cost: 0.41233s, reader_cost: 0.03460, ips: 620.85788 images/sec, eta: 3:22:00 +[2022/05/18 19:12:14] ppcls INFO: [Train][Epoch 9/30][Iter: 250/1347]lr: 0.03842, CELoss: 1.77793, loss: 1.77793, batch_cost: 0.41142s, reader_cost: 0.03375, ips: 622.23231 images/sec, eta: 3:21:29 +[2022/05/18 19:12:18] ppcls INFO: [Train][Epoch 9/30][Iter: 260/1347]lr: 0.03841, CELoss: 1.77671, loss: 1.77671, batch_cost: 0.41032s, reader_cost: 0.03295, ips: 623.90624 images/sec, eta: 3:20:52 +[2022/05/18 19:12:22] ppcls INFO: [Train][Epoch 9/30][Iter: 270/1347]lr: 0.03840, CELoss: 1.78029, loss: 1.78029, batch_cost: 0.41053s, reader_cost: 0.03322, ips: 623.57931 images/sec, eta: 3:20:54 +[2022/05/18 19:12:26] ppcls INFO: [Train][Epoch 9/30][Iter: 280/1347]lr: 0.03840, CELoss: 1.77658, loss: 1.77658, batch_cost: 0.41029s, reader_cost: 0.03273, ips: 623.95264 images/sec, eta: 3:20:43 +[2022/05/18 19:12:31] ppcls INFO: [Train][Epoch 9/30][Iter: 290/1347]lr: 0.03839, CELoss: 1.77626, loss: 1.77626, batch_cost: 0.41210s, reader_cost: 0.03418, ips: 621.21093 images/sec, eta: 3:21:32 +[2022/05/18 19:12:35] ppcls INFO: [Train][Epoch 9/30][Iter: 300/1347]lr: 0.03838, CELoss: 1.77928, loss: 1.77928, batch_cost: 0.41138s, reader_cost: 0.03370, ips: 622.29792 images/sec, eta: 3:21:07 +[2022/05/18 19:12:39] ppcls INFO: [Train][Epoch 9/30][Iter: 310/1347]lr: 0.03837, CELoss: 1.77937, loss: 1.77937, batch_cost: 0.41122s, reader_cost: 0.03352, ips: 622.54232 images/sec, eta: 3:20:58 +[2022/05/18 19:12:43] ppcls INFO: [Train][Epoch 9/30][Iter: 320/1347]lr: 0.03837, CELoss: 1.78056, loss: 1.78056, batch_cost: 0.41002s, reader_cost: 0.03248, ips: 624.36142 images/sec, eta: 3:20:19 +[2022/05/18 19:12:47] ppcls INFO: [Train][Epoch 9/30][Iter: 330/1347]lr: 0.03836, CELoss: 1.77763, loss: 1.77763, batch_cost: 0.41084s, reader_cost: 0.03312, ips: 623.11386 images/sec, eta: 3:20:39 +[2022/05/18 19:12:52] ppcls INFO: [Train][Epoch 9/30][Iter: 340/1347]lr: 0.03835, CELoss: 1.77475, loss: 1.77475, batch_cost: 0.41290s, reader_cost: 0.03455, ips: 620.01211 images/sec, eta: 3:21:35 +[2022/05/18 19:12:57] ppcls INFO: [Train][Epoch 9/30][Iter: 350/1347]lr: 0.03834, CELoss: 1.77746, loss: 1.77746, batch_cost: 0.41599s, reader_cost: 0.03704, ips: 615.39651 images/sec, eta: 3:23:01 +[2022/05/18 19:13:01] ppcls INFO: [Train][Epoch 9/30][Iter: 360/1347]lr: 0.03834, CELoss: 1.77990, loss: 1.77990, batch_cost: 0.41572s, reader_cost: 0.03696, ips: 615.79187 images/sec, eta: 3:22:49 +[2022/05/18 19:13:05] ppcls INFO: [Train][Epoch 9/30][Iter: 370/1347]lr: 0.03833, CELoss: 1.78181, loss: 1.78181, batch_cost: 0.41511s, reader_cost: 0.03640, ips: 616.69861 images/sec, eta: 3:22:27 +[2022/05/18 19:13:09] ppcls INFO: [Train][Epoch 9/30][Iter: 380/1347]lr: 0.03832, CELoss: 1.78399, loss: 1.78399, batch_cost: 0.41488s, reader_cost: 0.03616, ips: 617.04624 images/sec, eta: 3:22:16 +[2022/05/18 19:13:13] ppcls INFO: [Train][Epoch 9/30][Iter: 390/1347]lr: 0.03831, CELoss: 1.78432, loss: 1.78432, batch_cost: 0.41458s, reader_cost: 0.03599, ips: 617.48916 images/sec, eta: 3:22:04 +[2022/05/18 19:13:17] ppcls INFO: [Train][Epoch 9/30][Iter: 400/1347]lr: 0.03831, CELoss: 1.78770, loss: 1.78770, batch_cost: 0.41387s, reader_cost: 0.03543, ips: 618.54582 images/sec, eta: 3:21:39 +[2022/05/18 19:13:21] ppcls INFO: [Train][Epoch 9/30][Iter: 410/1347]lr: 0.03830, CELoss: 1.78777, loss: 1.78777, batch_cost: 0.41361s, reader_cost: 0.03523, ips: 618.93361 images/sec, eta: 3:21:27 +[2022/05/18 19:13:25] ppcls INFO: [Train][Epoch 9/30][Iter: 420/1347]lr: 0.03829, CELoss: 1.78611, loss: 1.78611, batch_cost: 0.41336s, reader_cost: 0.03506, ips: 619.30835 images/sec, eta: 3:21:16 +[2022/05/18 19:13:30] ppcls INFO: [Train][Epoch 9/30][Iter: 430/1347]lr: 0.03828, CELoss: 1.78643, loss: 1.78643, batch_cost: 0.41416s, reader_cost: 0.03575, ips: 618.12582 images/sec, eta: 3:21:34 +[2022/05/18 19:13:34] ppcls INFO: [Train][Epoch 9/30][Iter: 440/1347]lr: 0.03828, CELoss: 1.78928, loss: 1.78928, batch_cost: 0.41405s, reader_cost: 0.03541, ips: 618.28778 images/sec, eta: 3:21:27 +[2022/05/18 19:13:38] ppcls INFO: [Train][Epoch 9/30][Iter: 450/1347]lr: 0.03827, CELoss: 1.78749, loss: 1.78749, batch_cost: 0.41453s, reader_cost: 0.03590, ips: 617.56710 images/sec, eta: 3:21:37 +[2022/05/18 19:13:42] ppcls INFO: [Train][Epoch 9/30][Iter: 460/1347]lr: 0.03826, CELoss: 1.78592, loss: 1.78592, batch_cost: 0.41474s, reader_cost: 0.03602, ips: 617.25423 images/sec, eta: 3:21:39 +[2022/05/18 19:13:46] ppcls INFO: [Train][Epoch 9/30][Iter: 470/1347]lr: 0.03825, CELoss: 1.78534, loss: 1.78534, batch_cost: 0.41405s, reader_cost: 0.03528, ips: 618.28878 images/sec, eta: 3:21:15 +[2022/05/18 19:13:50] ppcls INFO: [Train][Epoch 9/30][Iter: 480/1347]lr: 0.03825, CELoss: 1.78125, loss: 1.78125, batch_cost: 0.41341s, reader_cost: 0.03457, ips: 619.23414 images/sec, eta: 3:20:52 +[2022/05/18 19:13:54] ppcls INFO: [Train][Epoch 9/30][Iter: 490/1347]lr: 0.03824, CELoss: 1.78158, loss: 1.78158, batch_cost: 0.41341s, reader_cost: 0.03462, ips: 619.23792 images/sec, eta: 3:20:48 +[2022/05/18 19:13:58] ppcls INFO: [Train][Epoch 9/30][Iter: 500/1347]lr: 0.03823, CELoss: 1.77787, loss: 1.77787, batch_cost: 0.41294s, reader_cost: 0.03424, ips: 619.93819 images/sec, eta: 3:20:30 +[2022/05/18 19:14:03] ppcls INFO: [Train][Epoch 9/30][Iter: 510/1347]lr: 0.03822, CELoss: 1.77836, loss: 1.77836, batch_cost: 0.41506s, reader_cost: 0.03611, ips: 616.77505 images/sec, eta: 3:21:28 +[2022/05/18 19:14:08] ppcls INFO: [Train][Epoch 9/30][Iter: 520/1347]lr: 0.03822, CELoss: 1.77742, loss: 1.77742, batch_cost: 0.41593s, reader_cost: 0.03664, ips: 615.49229 images/sec, eta: 3:21:49 +[2022/05/18 19:14:12] ppcls INFO: [Train][Epoch 9/30][Iter: 530/1347]lr: 0.03821, CELoss: 1.77751, loss: 1.77751, batch_cost: 0.41658s, reader_cost: 0.03720, ips: 614.52156 images/sec, eta: 3:22:04 +[2022/05/18 19:14:16] ppcls INFO: [Train][Epoch 9/30][Iter: 540/1347]lr: 0.03820, CELoss: 1.77779, loss: 1.77779, batch_cost: 0.41618s, reader_cost: 0.03681, ips: 615.11881 images/sec, eta: 3:21:48 +[2022/05/18 19:14:20] ppcls INFO: [Train][Epoch 9/30][Iter: 550/1347]lr: 0.03819, CELoss: 1.77818, loss: 1.77818, batch_cost: 0.41578s, reader_cost: 0.03644, ips: 615.71006 images/sec, eta: 3:21:32 +[2022/05/18 19:14:24] ppcls INFO: [Train][Epoch 9/30][Iter: 560/1347]lr: 0.03818, CELoss: 1.77803, loss: 1.77803, batch_cost: 0.41525s, reader_cost: 0.03610, ips: 616.49151 images/sec, eta: 3:21:13 +[2022/05/18 19:14:28] ppcls INFO: [Train][Epoch 9/30][Iter: 570/1347]lr: 0.03818, CELoss: 1.77962, loss: 1.77962, batch_cost: 0.41502s, reader_cost: 0.03596, ips: 616.84280 images/sec, eta: 3:21:02 +[2022/05/18 19:14:32] ppcls INFO: [Train][Epoch 9/30][Iter: 580/1347]lr: 0.03817, CELoss: 1.78024, loss: 1.78024, batch_cost: 0.41478s, reader_cost: 0.03566, ips: 617.19539 images/sec, eta: 3:20:51 +[2022/05/18 19:14:36] ppcls INFO: [Train][Epoch 9/30][Iter: 590/1347]lr: 0.03816, CELoss: 1.77987, loss: 1.77987, batch_cost: 0.41473s, reader_cost: 0.03568, ips: 617.26326 images/sec, eta: 3:20:45 +[2022/05/18 19:14:40] ppcls INFO: [Train][Epoch 9/30][Iter: 600/1347]lr: 0.03815, CELoss: 1.77946, loss: 1.77946, batch_cost: 0.41495s, reader_cost: 0.03594, ips: 616.94161 images/sec, eta: 3:20:47 +[2022/05/18 19:14:45] ppcls INFO: [Train][Epoch 9/30][Iter: 610/1347]lr: 0.03815, CELoss: 1.77967, loss: 1.77967, batch_cost: 0.41520s, reader_cost: 0.03617, ips: 616.57012 images/sec, eta: 3:20:50 +[2022/05/18 19:14:49] ppcls INFO: [Train][Epoch 9/30][Iter: 620/1347]lr: 0.03814, CELoss: 1.77915, loss: 1.77915, batch_cost: 0.41495s, reader_cost: 0.03611, ips: 616.94177 images/sec, eta: 3:20:39 +[2022/05/18 19:14:53] ppcls INFO: [Train][Epoch 9/30][Iter: 630/1347]lr: 0.03813, CELoss: 1.77730, loss: 1.77730, batch_cost: 0.41464s, reader_cost: 0.03580, ips: 617.40158 images/sec, eta: 3:20:26 +[2022/05/18 19:14:57] ppcls INFO: [Train][Epoch 9/30][Iter: 640/1347]lr: 0.03812, CELoss: 1.77775, loss: 1.77775, batch_cost: 0.41425s, reader_cost: 0.03548, ips: 617.98030 images/sec, eta: 3:20:10 +[2022/05/18 19:15:01] ppcls INFO: [Train][Epoch 9/30][Iter: 650/1347]lr: 0.03811, CELoss: 1.77738, loss: 1.77738, batch_cost: 0.41410s, reader_cost: 0.03538, ips: 618.21152 images/sec, eta: 3:20:02 +[2022/05/18 19:15:05] ppcls INFO: [Train][Epoch 9/30][Iter: 660/1347]lr: 0.03811, CELoss: 1.77818, loss: 1.77818, batch_cost: 0.41408s, reader_cost: 0.03530, ips: 618.23831 images/sec, eta: 3:19:57 +[2022/05/18 19:15:09] ppcls INFO: [Train][Epoch 9/30][Iter: 670/1347]lr: 0.03810, CELoss: 1.77761, loss: 1.77761, batch_cost: 0.41402s, reader_cost: 0.03535, ips: 618.33314 images/sec, eta: 3:19:51 +[2022/05/18 19:15:13] ppcls INFO: [Train][Epoch 9/30][Iter: 680/1347]lr: 0.03809, CELoss: 1.77626, loss: 1.77626, batch_cost: 0.41385s, reader_cost: 0.03511, ips: 618.58427 images/sec, eta: 3:19:42 +[2022/05/18 19:15:18] ppcls INFO: [Train][Epoch 9/30][Iter: 690/1347]lr: 0.03808, CELoss: 1.77637, loss: 1.77637, batch_cost: 0.41452s, reader_cost: 0.03570, ips: 617.58314 images/sec, eta: 3:19:57 +[2022/05/18 19:15:22] ppcls INFO: [Train][Epoch 9/30][Iter: 700/1347]lr: 0.03807, CELoss: 1.77645, loss: 1.77645, batch_cost: 0.41495s, reader_cost: 0.03601, ips: 616.94517 images/sec, eta: 3:20:06 +[2022/05/18 19:15:26] ppcls INFO: [Train][Epoch 9/30][Iter: 710/1347]lr: 0.03807, CELoss: 1.77569, loss: 1.77569, batch_cost: 0.41548s, reader_cost: 0.03640, ips: 616.16193 images/sec, eta: 3:20:17 +[2022/05/18 19:15:30] ppcls INFO: [Train][Epoch 9/30][Iter: 720/1347]lr: 0.03806, CELoss: 1.77681, loss: 1.77681, batch_cost: 0.41513s, reader_cost: 0.03612, ips: 616.67341 images/sec, eta: 3:20:03 +[2022/05/18 19:15:34] ppcls INFO: [Train][Epoch 9/30][Iter: 730/1347]lr: 0.03805, CELoss: 1.77652, loss: 1.77652, batch_cost: 0.41498s, reader_cost: 0.03604, ips: 616.89234 images/sec, eta: 3:19:54 +[2022/05/18 19:15:39] ppcls INFO: [Train][Epoch 9/30][Iter: 740/1347]lr: 0.03804, CELoss: 1.77760, loss: 1.77760, batch_cost: 0.41491s, reader_cost: 0.03597, ips: 616.99399 images/sec, eta: 3:19:48 +[2022/05/18 19:15:56] ppcls INFO: +=========================================================== +== PaddleClas is powered by PaddlePaddle ! == +=========================================================== +== == +== For more info please go to the following website. == +== == +== https://github.com/PaddlePaddle/PaddleClas == +=========================================================== + +[2022/05/18 19:15:56] ppcls INFO: Arch : +[2022/05/18 19:15:56] ppcls INFO: Backbone : +[2022/05/18 19:15:56] ppcls INFO: name : PPLCNet_x2_5 +[2022/05/18 19:15:56] ppcls INFO: pretrained : True +[2022/05/18 19:15:56] ppcls INFO: use_ssld : True +[2022/05/18 19:15:56] ppcls INFO: BackboneStopLayer : +[2022/05/18 19:15:56] ppcls INFO: name : flatten +[2022/05/18 19:15:56] ppcls INFO: Head : +[2022/05/18 19:15:56] ppcls INFO: class_num : 2389 +[2022/05/18 19:15:56] ppcls INFO: embedding_size : 1280 +[2022/05/18 19:15:56] ppcls INFO: margin : 0.2 +[2022/05/18 19:15:56] ppcls INFO: name : ArcMargin +[2022/05/18 19:15:56] ppcls INFO: scale : 30 +[2022/05/18 19:15:56] ppcls INFO: Neck : +[2022/05/18 19:15:56] ppcls INFO: class_num : 1280 +[2022/05/18 19:15:56] ppcls INFO: embedding_size : 1280 +[2022/05/18 19:15:56] ppcls INFO: name : FC +[2022/05/18 19:15:56] ppcls INFO: infer_add_softmax : False +[2022/05/18 19:15:56] ppcls INFO: infer_output_key : features +[2022/05/18 19:15:56] ppcls INFO: name : RecModel +[2022/05/18 19:15:56] ppcls INFO: DataLoader : +[2022/05/18 19:15:56] ppcls INFO: Eval : +[2022/05/18 19:15:56] ppcls INFO: Gallery : +[2022/05/18 19:15:56] ppcls INFO: dataset : +[2022/05/18 19:15:56] ppcls INFO: cls_label_path : /home/aistudio/PaddleClas/dataset/dataset/all/test_list.txt +[2022/05/18 19:15:56] ppcls INFO: image_root : /home/aistudio/PaddleClas/dataset/dataset/all/ +[2022/05/18 19:15:56] ppcls INFO: name : VeriWild +[2022/05/18 19:15:56] ppcls INFO: transform_ops : +[2022/05/18 19:15:56] ppcls INFO: DecodeImage : +[2022/05/18 19:15:56] ppcls INFO: channel_first : False +[2022/05/18 19:15:56] ppcls INFO: to_rgb : True +[2022/05/18 19:15:56] ppcls INFO: ResizeImage : +[2022/05/18 19:15:56] ppcls INFO: size : 224 +[2022/05/18 19:15:56] ppcls INFO: NormalizeImage : +[2022/05/18 19:15:56] ppcls INFO: mean : [0.485, 0.456, 0.406] +[2022/05/18 19:15:56] ppcls INFO: order : +[2022/05/18 19:15:56] ppcls INFO: scale : 0.00392157 +[2022/05/18 19:15:56] ppcls INFO: std : [0.229, 0.224, 0.225] +[2022/05/18 19:15:56] ppcls INFO: loader : +[2022/05/18 19:15:56] ppcls INFO: num_workers : 4 +[2022/05/18 19:15:56] ppcls INFO: use_shared_memory : True +[2022/05/18 19:15:56] ppcls INFO: sampler : +[2022/05/18 19:15:56] ppcls INFO: batch_size : 64 +[2022/05/18 19:15:56] ppcls INFO: drop_last : False +[2022/05/18 19:15:56] ppcls INFO: name : DistributedBatchSampler +[2022/05/18 19:15:56] ppcls INFO: shuffle : False +[2022/05/18 19:15:56] ppcls INFO: Query : +[2022/05/18 19:15:56] ppcls INFO: dataset : +[2022/05/18 19:15:56] ppcls INFO: cls_label_path : /home/aistudio/PaddleClas/dataset/dataset/all/test_list.txt +[2022/05/18 19:15:56] ppcls INFO: image_root : /home/aistudio/PaddleClas/dataset/dataset/all/ +[2022/05/18 19:15:56] ppcls INFO: name : VeriWild +[2022/05/18 19:15:56] ppcls INFO: transform_ops : +[2022/05/18 19:15:56] ppcls INFO: DecodeImage : +[2022/05/18 19:15:56] ppcls INFO: channel_first : False +[2022/05/18 19:15:56] ppcls INFO: to_rgb : True +[2022/05/18 19:15:56] ppcls INFO: ResizeImage : +[2022/05/18 19:15:56] ppcls INFO: size : 224 +[2022/05/18 19:15:56] ppcls INFO: NormalizeImage : +[2022/05/18 19:15:56] ppcls INFO: mean : [0.485, 0.456, 0.406] +[2022/05/18 19:15:56] ppcls INFO: order : +[2022/05/18 19:15:56] ppcls INFO: scale : 0.00392157 +[2022/05/18 19:15:56] ppcls INFO: std : [0.229, 0.224, 0.225] +[2022/05/18 19:15:56] ppcls INFO: loader : +[2022/05/18 19:15:56] ppcls INFO: num_workers : 4 +[2022/05/18 19:15:56] ppcls INFO: use_shared_memory : True +[2022/05/18 19:15:56] ppcls INFO: sampler : +[2022/05/18 19:15:56] ppcls INFO: batch_size : 64 +[2022/05/18 19:15:56] ppcls INFO: drop_last : False +[2022/05/18 19:15:56] ppcls INFO: name : DistributedBatchSampler +[2022/05/18 19:15:56] ppcls INFO: shuffle : False +[2022/05/18 19:15:56] ppcls INFO: Train : +[2022/05/18 19:15:56] ppcls INFO: dataset : +[2022/05/18 19:15:56] ppcls INFO: cls_label_path : /home/aistudio/PaddleClas/dataset/dataset/all/train_list.txt +[2022/05/18 19:15:56] ppcls INFO: image_root : /home/aistudio/PaddleClas/dataset/dataset/all/ +[2022/05/18 19:15:56] ppcls INFO: name : ImageNetDataset +[2022/05/18 19:15:56] ppcls INFO: transform_ops : +[2022/05/18 19:15:56] ppcls INFO: DecodeImage : +[2022/05/18 19:15:56] ppcls INFO: channel_first : False +[2022/05/18 19:15:56] ppcls INFO: to_rgb : True +[2022/05/18 19:15:56] ppcls INFO: RandCropImage : +[2022/05/18 19:15:56] ppcls INFO: size : 224 +[2022/05/18 19:15:56] ppcls INFO: RandFlipImage : +[2022/05/18 19:15:56] ppcls INFO: flip_code : 1 +[2022/05/18 19:15:56] ppcls INFO: NormalizeImage : +[2022/05/18 19:15:56] ppcls INFO: mean : [0.485, 0.456, 0.406] +[2022/05/18 19:15:56] ppcls INFO: order : +[2022/05/18 19:15:56] ppcls INFO: scale : 1.0/255.0 +[2022/05/18 19:15:56] ppcls INFO: std : [0.229, 0.224, 0.225] +[2022/05/18 19:15:56] ppcls INFO: loader : +[2022/05/18 19:15:56] ppcls INFO: num_workers : 4 +[2022/05/18 19:15:56] ppcls INFO: use_shared_memory : True +[2022/05/18 19:15:56] ppcls INFO: sampler : +[2022/05/18 19:15:56] ppcls INFO: batch_size : 256 +[2022/05/18 19:15:56] ppcls INFO: drop_last : False +[2022/05/18 19:15:56] ppcls INFO: name : DistributedBatchSampler +[2022/05/18 19:15:56] ppcls INFO: shuffle : True +[2022/05/18 19:15:56] ppcls INFO: Global : +[2022/05/18 19:15:56] ppcls INFO: checkpoints : None +[2022/05/18 19:15:56] ppcls INFO: device : gpu +[2022/05/18 19:15:56] ppcls INFO: epochs : 20 +[2022/05/18 19:15:56] ppcls INFO: eval_during_train : True +[2022/05/18 19:15:56] ppcls INFO: eval_interval : 1 +[2022/05/18 19:15:56] ppcls INFO: eval_mode : retrieval +[2022/05/18 19:15:56] ppcls INFO: image_shape : [3, 224, 224] +[2022/05/18 19:15:56] ppcls INFO: output_dir : ./output/ +[2022/05/18 19:15:56] ppcls INFO: pretrained_model : None +[2022/05/18 19:15:56] ppcls INFO: print_batch_step : 10 +[2022/05/18 19:15:56] ppcls INFO: save_inference_dir : ./inference +[2022/05/18 19:15:56] ppcls INFO: save_interval : 1 +[2022/05/18 19:15:56] ppcls INFO: to_static : False +[2022/05/18 19:15:56] ppcls INFO: use_dali : False +[2022/05/18 19:15:56] ppcls INFO: use_visualdl : False +[2022/05/18 19:15:56] ppcls INFO: Loss : +[2022/05/18 19:15:56] ppcls INFO: Eval : +[2022/05/18 19:15:56] ppcls INFO: CELoss : +[2022/05/18 19:15:56] ppcls INFO: weight : 1.0 +[2022/05/18 19:15:56] ppcls INFO: Train : +[2022/05/18 19:15:56] ppcls INFO: CELoss : +[2022/05/18 19:15:56] ppcls INFO: weight : 1.0 +[2022/05/18 19:15:56] ppcls INFO: Metric : +[2022/05/18 19:15:56] ppcls INFO: Eval : +[2022/05/18 19:15:56] ppcls INFO: Recallk : +[2022/05/18 19:15:56] ppcls INFO: topk : [1, 5] +[2022/05/18 19:15:56] ppcls INFO: Optimizer : +[2022/05/18 19:15:56] ppcls INFO: lr : +[2022/05/18 19:15:56] ppcls INFO: learning_rate : 0.04 +[2022/05/18 19:15:56] ppcls INFO: name : Cosine +[2022/05/18 19:15:56] ppcls INFO: warmup_epoch : 5 +[2022/05/18 19:15:56] ppcls INFO: momentum : 0.9 +[2022/05/18 19:15:56] ppcls INFO: name : Momentum +[2022/05/18 19:15:56] ppcls INFO: regularizer : +[2022/05/18 19:15:56] ppcls INFO: coeff : 1e-05 +[2022/05/18 19:15:56] ppcls INFO: name : L2 +[2022/05/18 19:15:56] ppcls INFO: profiler_options : None +[2022/05/18 19:15:56] ppcls INFO: train with paddle 2.3.0 and device Place(gpu:0) +[2022/05/18 19:16:08] ppcls INFO: unique_endpoints {''} +[2022/05/18 19:16:08] ppcls INFO: Found /home/aistudio/.paddleclas/weights/PPLCNet_x2_5_ssld_pretrained.pdparams +[2022/05/18 19:16:08] ppcls WARNING: The training strategy in config files provided by PaddleClas is based on 4 gpus. But the number of gpus is 1 in current training. Please modify the stategy (learning rate, batch size and so on) if use config files in PaddleClas to train. +[2022/05/18 19:16:11] ppcls INFO: [Train][Epoch 1/20][Iter: 0/1347]lr: 0.00001, CELoss: 13.96385, loss: 13.96385, batch_cost: 2.73219s, reader_cost: 2.08973, ips: 93.69786 images/sec, eta: 20:26:45 +[2022/05/18 19:16:15] ppcls INFO: [Train][Epoch 1/20][Iter: 10/1347]lr: 0.00007, CELoss: 14.07023, loss: 14.07023, batch_cost: 0.39986s, reader_cost: 0.00075, ips: 640.22665 images/sec, eta: 2:59:28 +[2022/05/18 19:16:19] ppcls INFO: [Train][Epoch 1/20][Iter: 20/1347]lr: 0.00012, CELoss: 14.06447, loss: 14.06447, batch_cost: 0.38728s, reader_cost: 0.00068, ips: 661.02790 images/sec, eta: 2:53:45 +[2022/05/18 19:16:23] ppcls INFO: [Train][Epoch 1/20][Iter: 30/1347]lr: 0.00018, CELoss: 14.05700, loss: 14.05700, batch_cost: 0.38982s, reader_cost: 0.00133, ips: 656.70704 images/sec, eta: 2:54:50 +[2022/05/18 19:16:27] ppcls INFO: [Train][Epoch 1/20][Iter: 40/1347]lr: 0.00024, CELoss: 14.05365, loss: 14.05365, batch_cost: 0.39107s, reader_cost: 0.00149, ips: 654.61039 images/sec, eta: 2:55:19 +[2022/05/18 19:16:31] ppcls INFO: [Train][Epoch 1/20][Iter: 50/1347]lr: 0.00030, CELoss: 14.05178, loss: 14.05178, batch_cost: 0.39559s, reader_cost: 0.00467, ips: 647.14149 images/sec, eta: 2:57:17 +[2022/05/18 19:16:35] ppcls INFO: [Train][Epoch 1/20][Iter: 60/1347]lr: 0.00036, CELoss: 14.04350, loss: 14.04350, batch_cost: 0.40889s, reader_cost: 0.01823, ips: 626.07862 images/sec, eta: 3:03:11 +[2022/05/18 19:16:40] ppcls INFO: [Train][Epoch 1/20][Iter: 70/1347]lr: 0.00042, CELoss: 14.03522, loss: 14.03522, batch_cost: 0.41263s, reader_cost: 0.02199, ips: 620.40839 images/sec, eta: 3:04:47 +[2022/05/18 19:16:44] ppcls INFO: [Train][Epoch 1/20][Iter: 80/1347]lr: 0.00048, CELoss: 14.02295, loss: 14.02295, batch_cost: 0.41229s, reader_cost: 0.02457, ips: 620.92874 images/sec, eta: 3:04:33 +[2022/05/18 19:16:48] ppcls INFO: [Train][Epoch 1/20][Iter: 90/1347]lr: 0.00054, CELoss: 14.00952, loss: 14.00952, batch_cost: 0.41018s, reader_cost: 0.02454, ips: 624.11063 images/sec, eta: 3:03:33 +[2022/05/18 19:16:52] ppcls INFO: [Train][Epoch 1/20][Iter: 100/1347]lr: 0.00060, CELoss: 13.99198, loss: 13.99198, batch_cost: 0.41179s, reader_cost: 0.02529, ips: 621.67337 images/sec, eta: 3:04:12 +[2022/05/18 19:16:56] ppcls INFO: [Train][Epoch 1/20][Iter: 110/1347]lr: 0.00066, CELoss: 13.97087, loss: 13.97087, batch_cost: 0.41071s, reader_cost: 0.02527, ips: 623.30553 images/sec, eta: 3:03:39 +[2022/05/18 19:17:00] ppcls INFO: [Train][Epoch 1/20][Iter: 120/1347]lr: 0.00072, CELoss: 13.95108, loss: 13.95108, batch_cost: 0.40975s, reader_cost: 0.02566, ips: 624.77409 images/sec, eta: 3:03:09 +[2022/05/18 19:17:04] ppcls INFO: [Train][Epoch 1/20][Iter: 130/1347]lr: 0.00078, CELoss: 13.92900, loss: 13.92900, batch_cost: 0.40823s, reader_cost: 0.02470, ips: 627.10034 images/sec, eta: 3:02:24 +[2022/05/18 19:17:08] ppcls INFO: [Train][Epoch 1/20][Iter: 140/1347]lr: 0.00084, CELoss: 13.90461, loss: 13.90461, batch_cost: 0.40734s, reader_cost: 0.02495, ips: 628.46459 images/sec, eta: 3:01:56 +[2022/05/18 19:17:12] ppcls INFO: [Train][Epoch 1/20][Iter: 150/1347]lr: 0.00090, CELoss: 13.87755, loss: 13.87755, batch_cost: 0.40750s, reader_cost: 0.02529, ips: 628.21667 images/sec, eta: 3:01:56 +[2022/05/18 19:17:16] ppcls INFO: [Train][Epoch 1/20][Iter: 160/1347]lr: 0.00096, CELoss: 13.84908, loss: 13.84908, batch_cost: 0.40706s, reader_cost: 0.02541, ips: 628.89901 images/sec, eta: 3:01:41 +[2022/05/18 19:17:20] ppcls INFO: [Train][Epoch 1/20][Iter: 170/1347]lr: 0.00102, CELoss: 13.82042, loss: 13.82042, batch_cost: 0.40502s, reader_cost: 0.02392, ips: 632.06755 images/sec, eta: 3:00:42 +[2022/05/18 19:17:24] ppcls INFO: [Train][Epoch 1/20][Iter: 180/1347]lr: 0.00107, CELoss: 13.78955, loss: 13.78955, batch_cost: 0.40437s, reader_cost: 0.02344, ips: 633.09123 images/sec, eta: 3:00:20 +[2022/05/18 19:17:28] ppcls INFO: [Train][Epoch 1/20][Iter: 190/1347]lr: 0.00113, CELoss: 13.75482, loss: 13.75482, batch_cost: 0.40343s, reader_cost: 0.02299, ips: 634.55756 images/sec, eta: 2:59:51 +[2022/05/18 19:17:32] ppcls INFO: [Train][Epoch 1/20][Iter: 200/1347]lr: 0.00119, CELoss: 13.71932, loss: 13.71932, batch_cost: 0.40269s, reader_cost: 0.02248, ips: 635.73085 images/sec, eta: 2:59:27 +[2022/05/18 19:17:35] ppcls INFO: [Train][Epoch 1/20][Iter: 210/1347]lr: 0.00125, CELoss: 13.68217, loss: 13.68217, batch_cost: 0.40178s, reader_cost: 0.02216, ips: 637.16452 images/sec, eta: 2:58:59 +[2022/05/18 19:17:39] ppcls INFO: [Train][Epoch 1/20][Iter: 220/1347]lr: 0.00131, CELoss: 13.64487, loss: 13.64487, batch_cost: 0.40124s, reader_cost: 0.02181, ips: 638.02262 images/sec, eta: 2:58:41 +[2022/05/18 19:17:44] ppcls INFO: [Train][Epoch 1/20][Iter: 230/1347]lr: 0.00137, CELoss: 13.60501, loss: 13.60501, batch_cost: 0.40339s, reader_cost: 0.02305, ips: 634.62063 images/sec, eta: 2:59:34 +[2022/05/18 19:17:49] ppcls INFO: [Train][Epoch 1/20][Iter: 240/1347]lr: 0.00143, CELoss: 13.56641, loss: 13.56641, batch_cost: 0.40653s, reader_cost: 0.02570, ips: 629.72032 images/sec, eta: 3:00:54 +[2022/05/18 19:17:53] ppcls INFO: [Train][Epoch 1/20][Iter: 250/1347]lr: 0.00149, CELoss: 13.52902, loss: 13.52902, batch_cost: 0.40745s, reader_cost: 0.02625, ips: 628.30109 images/sec, eta: 3:01:14 +[2022/05/18 19:17:57] ppcls INFO: [Train][Epoch 1/20][Iter: 260/1347]lr: 0.00155, CELoss: 13.49058, loss: 13.49058, batch_cost: 0.40831s, reader_cost: 0.02715, ips: 626.97420 images/sec, eta: 3:01:33 +[2022/05/18 19:18:01] ppcls INFO: [Train][Epoch 1/20][Iter: 270/1347]lr: 0.00161, CELoss: 13.44830, loss: 13.44830, batch_cost: 0.40838s, reader_cost: 0.02744, ips: 626.86464 images/sec, eta: 3:01:31 +[2022/05/18 19:18:05] ppcls INFO: [Train][Epoch 1/20][Iter: 280/1347]lr: 0.00167, CELoss: 13.40842, loss: 13.40842, batch_cost: 0.40841s, reader_cost: 0.02769, ips: 626.82674 images/sec, eta: 3:01:28 +[2022/05/18 19:18:09] ppcls INFO: [Train][Epoch 1/20][Iter: 290/1347]lr: 0.00173, CELoss: 13.36812, loss: 13.36812, batch_cost: 0.40814s, reader_cost: 0.02768, ips: 627.23090 images/sec, eta: 3:01:17 +[2022/05/18 19:18:13] ppcls INFO: [Train][Epoch 1/20][Iter: 300/1347]lr: 0.00179, CELoss: 13.32700, loss: 13.32700, batch_cost: 0.40783s, reader_cost: 0.02737, ips: 627.70544 images/sec, eta: 3:01:04 +[2022/05/18 19:18:17] ppcls INFO: [Train][Epoch 1/20][Iter: 310/1347]lr: 0.00185, CELoss: 13.28619, loss: 13.28619, batch_cost: 0.40781s, reader_cost: 0.02754, ips: 627.74849 images/sec, eta: 3:00:59 +[2022/05/18 19:18:21] ppcls INFO: [Train][Epoch 1/20][Iter: 320/1347]lr: 0.00191, CELoss: 13.24788, loss: 13.24788, batch_cost: 0.40760s, reader_cost: 0.02753, ips: 628.06347 images/sec, eta: 3:00:50 +[2022/05/18 19:18:25] ppcls INFO: [Train][Epoch 1/20][Iter: 330/1347]lr: 0.00197, CELoss: 13.21062, loss: 13.21062, batch_cost: 0.40694s, reader_cost: 0.02716, ips: 629.08061 images/sec, eta: 3:00:28 +[2022/05/18 19:18:29] ppcls INFO: [Train][Epoch 1/20][Iter: 340/1347]lr: 0.00203, CELoss: 13.16750, loss: 13.16750, batch_cost: 0.40643s, reader_cost: 0.02675, ips: 629.87867 images/sec, eta: 3:00:10 +[2022/05/18 19:18:33] ppcls INFO: [Train][Epoch 1/20][Iter: 350/1347]lr: 0.00208, CELoss: 13.12824, loss: 13.12824, batch_cost: 0.40585s, reader_cost: 0.02640, ips: 630.77332 images/sec, eta: 2:59:51 +[2022/05/18 19:18:37] ppcls INFO: [Train][Epoch 1/20][Iter: 360/1347]lr: 0.00214, CELoss: 13.08703, loss: 13.08703, batch_cost: 0.40565s, reader_cost: 0.02651, ips: 631.09340 images/sec, eta: 2:59:42 +[2022/05/18 19:18:41] ppcls INFO: [Train][Epoch 1/20][Iter: 370/1347]lr: 0.00220, CELoss: 13.04756, loss: 13.04756, batch_cost: 0.40525s, reader_cost: 0.02614, ips: 631.71047 images/sec, eta: 2:59:27 +[2022/05/18 19:18:45] ppcls INFO: [Train][Epoch 1/20][Iter: 380/1347]lr: 0.00226, CELoss: 13.00837, loss: 13.00837, batch_cost: 0.40446s, reader_cost: 0.02546, ips: 632.94137 images/sec, eta: 2:59:02 +[2022/05/18 19:18:49] ppcls INFO: [Train][Epoch 1/20][Iter: 390/1347]lr: 0.00232, CELoss: 12.96506, loss: 12.96506, batch_cost: 0.40455s, reader_cost: 0.02552, ips: 632.80170 images/sec, eta: 2:59:00 +[2022/05/18 19:18:53] ppcls INFO: [Train][Epoch 1/20][Iter: 400/1347]lr: 0.00238, CELoss: 12.92334, loss: 12.92334, batch_cost: 0.40483s, reader_cost: 0.02563, ips: 632.37004 images/sec, eta: 2:59:04 +[2022/05/18 19:18:57] ppcls INFO: [Train][Epoch 1/20][Iter: 410/1347]lr: 0.00244, CELoss: 12.88371, loss: 12.88371, batch_cost: 0.40531s, reader_cost: 0.02584, ips: 631.62034 images/sec, eta: 2:59:12 +[2022/05/18 19:19:02] ppcls INFO: [Train][Epoch 1/20][Iter: 420/1347]lr: 0.00250, CELoss: 12.84221, loss: 12.84221, batch_cost: 0.40748s, reader_cost: 0.02751, ips: 628.25819 images/sec, eta: 3:00:06 +[2022/05/18 19:19:07] ppcls INFO: [Train][Epoch 1/20][Iter: 430/1347]lr: 0.00256, CELoss: 12.80253, loss: 12.80253, batch_cost: 0.40928s, reader_cost: 0.02907, ips: 625.48899 images/sec, eta: 3:00:50 +[2022/05/18 19:19:11] ppcls INFO: [Train][Epoch 1/20][Iter: 440/1347]lr: 0.00262, CELoss: 12.76303, loss: 12.76303, batch_cost: 0.40884s, reader_cost: 0.02871, ips: 626.16914 images/sec, eta: 3:00:34 +[2022/05/18 19:19:15] ppcls INFO: [Train][Epoch 1/20][Iter: 450/1347]lr: 0.00268, CELoss: 12.72160, loss: 12.72160, batch_cost: 0.40811s, reader_cost: 0.02808, ips: 627.27884 images/sec, eta: 3:00:10 +[2022/05/18 19:19:19] ppcls INFO: [Train][Epoch 1/20][Iter: 460/1347]lr: 0.00274, CELoss: 12.67999, loss: 12.67999, batch_cost: 0.40835s, reader_cost: 0.02844, ips: 626.91392 images/sec, eta: 3:00:13 +[2022/05/18 19:19:23] ppcls INFO: [Train][Epoch 1/20][Iter: 470/1347]lr: 0.00280, CELoss: 12.64008, loss: 12.64008, batch_cost: 0.40783s, reader_cost: 0.02814, ips: 627.70782 images/sec, eta: 2:59:55 +[2022/05/18 19:19:26] ppcls INFO: [Train][Epoch 1/20][Iter: 480/1347]lr: 0.00286, CELoss: 12.59744, loss: 12.59744, batch_cost: 0.40729s, reader_cost: 0.02756, ips: 628.54515 images/sec, eta: 2:59:36 +[2022/05/18 19:19:30] ppcls INFO: [Train][Epoch 1/20][Iter: 490/1347]lr: 0.00292, CELoss: 12.55836, loss: 12.55836, batch_cost: 0.40710s, reader_cost: 0.02757, ips: 628.84096 images/sec, eta: 2:59:27 +[2022/05/18 19:19:34] ppcls INFO: [Train][Epoch 1/20][Iter: 500/1347]lr: 0.00298, CELoss: 12.51858, loss: 12.51858, batch_cost: 0.40683s, reader_cost: 0.02732, ips: 629.26172 images/sec, eta: 2:59:16 +[2022/05/18 19:19:38] ppcls INFO: [Train][Epoch 1/20][Iter: 510/1347]lr: 0.00303, CELoss: 12.47856, loss: 12.47856, batch_cost: 0.40615s, reader_cost: 0.02679, ips: 630.30564 images/sec, eta: 2:58:54 +[2022/05/18 19:19:42] ppcls INFO: [Train][Epoch 1/20][Iter: 520/1347]lr: 0.00309, CELoss: 12.43802, loss: 12.43802, batch_cost: 0.40575s, reader_cost: 0.02657, ips: 630.93290 images/sec, eta: 2:58:39 +[2022/05/18 19:19:46] ppcls INFO: [Train][Epoch 1/20][Iter: 530/1347]lr: 0.00315, CELoss: 12.39779, loss: 12.39779, batch_cost: 0.40541s, reader_cost: 0.02635, ips: 631.45837 images/sec, eta: 2:58:26 +[2022/05/18 19:19:50] ppcls INFO: [Train][Epoch 1/20][Iter: 540/1347]lr: 0.00321, CELoss: 12.35597, loss: 12.35597, batch_cost: 0.40555s, reader_cost: 0.02652, ips: 631.24528 images/sec, eta: 2:58:26 +[2022/05/18 19:19:54] ppcls INFO: [Train][Epoch 1/20][Iter: 550/1347]lr: 0.00327, CELoss: 12.31474, loss: 12.31474, batch_cost: 0.40520s, reader_cost: 0.02634, ips: 631.78044 images/sec, eta: 2:58:13 +[2022/05/18 19:19:58] ppcls INFO: [Train][Epoch 1/20][Iter: 560/1347]lr: 0.00333, CELoss: 12.27537, loss: 12.27537, batch_cost: 0.40522s, reader_cost: 0.02655, ips: 631.76226 images/sec, eta: 2:58:09 +[2022/05/18 19:20:02] ppcls INFO: [Train][Epoch 1/20][Iter: 570/1347]lr: 0.00339, CELoss: 12.23377, loss: 12.23377, batch_cost: 0.40502s, reader_cost: 0.02650, ips: 632.06290 images/sec, eta: 2:58:00 +[2022/05/18 19:20:06] ppcls INFO: [Train][Epoch 1/20][Iter: 580/1347]lr: 0.00345, CELoss: 12.19717, loss: 12.19717, batch_cost: 0.40538s, reader_cost: 0.02690, ips: 631.50723 images/sec, eta: 2:58:05 +[2022/05/18 19:20:11] ppcls INFO: [Train][Epoch 1/20][Iter: 590/1347]lr: 0.00351, CELoss: 12.15374, loss: 12.15374, batch_cost: 0.40638s, reader_cost: 0.02764, ips: 629.95048 images/sec, eta: 2:58:28 +[2022/05/18 19:20:16] ppcls INFO: [Train][Epoch 1/20][Iter: 600/1347]lr: 0.00357, CELoss: 12.11569, loss: 12.11569, batch_cost: 0.40779s, reader_cost: 0.02874, ips: 627.77843 images/sec, eta: 2:59:01 +[2022/05/18 19:20:20] ppcls INFO: [Train][Epoch 1/20][Iter: 610/1347]lr: 0.00363, CELoss: 12.07637, loss: 12.07637, batch_cost: 0.40831s, reader_cost: 0.02900, ips: 626.96703 images/sec, eta: 2:59:10 +[2022/05/18 19:20:24] ppcls INFO: [Train][Epoch 1/20][Iter: 620/1347]lr: 0.00369, CELoss: 12.03751, loss: 12.03751, batch_cost: 0.40870s, reader_cost: 0.02938, ips: 626.37930 images/sec, eta: 2:59:16 +[2022/05/18 19:20:28] ppcls INFO: [Train][Epoch 1/20][Iter: 630/1347]lr: 0.00375, CELoss: 11.99709, loss: 11.99709, batch_cost: 0.40836s, reader_cost: 0.02921, ips: 626.89234 images/sec, eta: 2:59:04 +[2022/05/18 19:20:32] ppcls INFO: [Train][Epoch 1/20][Iter: 640/1347]lr: 0.00381, CELoss: 11.95635, loss: 11.95635, batch_cost: 0.40796s, reader_cost: 0.02903, ips: 627.50968 images/sec, eta: 2:58:49 +[2022/05/18 19:20:36] ppcls INFO: [Train][Epoch 1/20][Iter: 650/1347]lr: 0.00387, CELoss: 11.91753, loss: 11.91753, batch_cost: 0.40776s, reader_cost: 0.02890, ips: 627.82653 images/sec, eta: 2:58:39 +[2022/05/18 19:20:40] ppcls INFO: [Train][Epoch 1/20][Iter: 660/1347]lr: 0.00393, CELoss: 11.87870, loss: 11.87870, batch_cost: 0.40749s, reader_cost: 0.02871, ips: 628.24096 images/sec, eta: 2:58:28 +[2022/05/18 19:20:44] ppcls INFO: [Train][Epoch 1/20][Iter: 670/1347]lr: 0.00399, CELoss: 11.83798, loss: 11.83798, batch_cost: 0.40720s, reader_cost: 0.02851, ips: 628.67929 images/sec, eta: 2:58:17 +[2022/05/18 19:20:48] ppcls INFO: [Train][Epoch 1/20][Iter: 680/1347]lr: 0.00404, CELoss: 11.79651, loss: 11.79651, batch_cost: 0.40673s, reader_cost: 0.02810, ips: 629.40349 images/sec, eta: 2:58:00 +[2022/05/18 19:20:51] ppcls INFO: [Train][Epoch 1/20][Iter: 690/1347]lr: 0.00410, CELoss: 11.75640, loss: 11.75640, batch_cost: 0.40649s, reader_cost: 0.02790, ips: 629.77692 images/sec, eta: 2:57:50 +[2022/05/18 19:20:56] ppcls INFO: [Train][Epoch 1/20][Iter: 700/1347]lr: 0.00416, CELoss: 11.71740, loss: 11.71740, batch_cost: 0.40650s, reader_cost: 0.02795, ips: 629.76540 images/sec, eta: 2:57:46 +[2022/05/18 19:20:59] ppcls INFO: [Train][Epoch 1/20][Iter: 710/1347]lr: 0.00422, CELoss: 11.67897, loss: 11.67897, batch_cost: 0.40618s, reader_cost: 0.02778, ips: 630.26751 images/sec, eta: 2:57:34 +[2022/05/18 19:21:03] ppcls INFO: [Train][Epoch 1/20][Iter: 720/1347]lr: 0.00428, CELoss: 11.64049, loss: 11.64049, batch_cost: 0.40608s, reader_cost: 0.02781, ips: 630.41815 images/sec, eta: 2:57:27 +[2022/05/18 19:21:07] ppcls INFO: [Train][Epoch 1/20][Iter: 730/1347]lr: 0.00434, CELoss: 11.60157, loss: 11.60157, batch_cost: 0.40578s, reader_cost: 0.02764, ips: 630.88697 images/sec, eta: 2:57:15 +[2022/05/18 19:21:11] ppcls INFO: [Train][Epoch 1/20][Iter: 740/1347]lr: 0.00440, CELoss: 11.55888, loss: 11.55888, batch_cost: 0.40561s, reader_cost: 0.02766, ips: 631.14956 images/sec, eta: 2:57:06 +[2022/05/18 19:21:15] ppcls INFO: [Train][Epoch 1/20][Iter: 750/1347]lr: 0.00446, CELoss: 11.51945, loss: 11.51945, batch_cost: 0.40536s, reader_cost: 0.02729, ips: 631.54511 images/sec, eta: 2:56:56 +[2022/05/18 19:21:19] ppcls INFO: [Train][Epoch 1/20][Iter: 760/1347]lr: 0.00452, CELoss: 11.48038, loss: 11.48038, batch_cost: 0.40555s, reader_cost: 0.02750, ips: 631.24853 images/sec, eta: 2:56:57 +[2022/05/18 19:21:23] ppcls INFO: [Train][Epoch 1/20][Iter: 770/1347]lr: 0.00458, CELoss: 11.44091, loss: 11.44091, batch_cost: 0.40560s, reader_cost: 0.02753, ips: 631.15745 images/sec, eta: 2:56:54 +[2022/05/18 19:21:28] ppcls INFO: [Train][Epoch 1/20][Iter: 780/1347]lr: 0.00464, CELoss: 11.40190, loss: 11.40190, batch_cost: 0.40669s, reader_cost: 0.02838, ips: 629.47749 images/sec, eta: 2:57:18 +[2022/05/18 19:21:33] ppcls INFO: [Train][Epoch 1/20][Iter: 790/1347]lr: 0.00470, CELoss: 11.36266, loss: 11.36266, batch_cost: 0.40711s, reader_cost: 0.02861, ips: 628.82948 images/sec, eta: 2:57:25 +[2022/05/18 19:21:37] ppcls INFO: [Train][Epoch 1/20][Iter: 800/1347]lr: 0.00476, CELoss: 11.32459, loss: 11.32459, batch_cost: 0.40785s, reader_cost: 0.02913, ips: 627.68467 images/sec, eta: 2:57:41 +[2022/05/18 19:21:41] ppcls INFO: [Train][Epoch 1/20][Iter: 810/1347]lr: 0.00482, CELoss: 11.28724, loss: 11.28724, batch_cost: 0.40784s, reader_cost: 0.02925, ips: 627.70029 images/sec, eta: 2:57:36 +[2022/05/18 19:21:45] ppcls INFO: [Train][Epoch 1/20][Iter: 820/1347]lr: 0.00488, CELoss: 11.24947, loss: 11.24947, batch_cost: 0.40771s, reader_cost: 0.02905, ips: 627.90219 images/sec, eta: 2:57:29 +[2022/05/18 19:21:49] ppcls INFO: [Train][Epoch 1/20][Iter: 830/1347]lr: 0.00494, CELoss: 11.21170, loss: 11.21170, batch_cost: 0.40728s, reader_cost: 0.02872, ips: 628.55514 images/sec, eta: 2:57:14 +[2022/05/18 19:21:53] ppcls INFO: [Train][Epoch 1/20][Iter: 840/1347]lr: 0.00499, CELoss: 11.17635, loss: 11.17635, batch_cost: 0.40707s, reader_cost: 0.02856, ips: 628.88023 images/sec, eta: 2:57:04 +[2022/05/18 19:21:57] ppcls INFO: [Train][Epoch 1/20][Iter: 850/1347]lr: 0.00505, CELoss: 11.13938, loss: 11.13938, batch_cost: 0.40727s, reader_cost: 0.02864, ips: 628.57733 images/sec, eta: 2:57:05 +[2022/05/18 19:22:01] ppcls INFO: [Train][Epoch 1/20][Iter: 860/1347]lr: 0.00511, CELoss: 11.10312, loss: 11.10312, batch_cost: 0.40737s, reader_cost: 0.02879, ips: 628.42256 images/sec, eta: 2:57:04 +[2022/05/18 19:22:05] ppcls INFO: [Train][Epoch 1/20][Iter: 870/1347]lr: 0.00517, CELoss: 11.06498, loss: 11.06498, batch_cost: 0.40707s, reader_cost: 0.02862, ips: 628.88742 images/sec, eta: 2:56:52 +[2022/05/18 19:22:09] ppcls INFO: [Train][Epoch 1/20][Iter: 880/1347]lr: 0.00523, CELoss: 11.02953, loss: 11.02953, batch_cost: 0.40711s, reader_cost: 0.02866, ips: 628.82968 images/sec, eta: 2:56:49 +[2022/05/18 19:22:13] ppcls INFO: [Train][Epoch 1/20][Iter: 890/1347]lr: 0.00529, CELoss: 10.99420, loss: 10.99420, batch_cost: 0.40697s, reader_cost: 0.02851, ips: 629.03468 images/sec, eta: 2:56:41 +[2022/05/18 19:22:17] ppcls INFO: [Train][Epoch 1/20][Iter: 900/1347]lr: 0.00535, CELoss: 10.95896, loss: 10.95896, batch_cost: 0.40668s, reader_cost: 0.02824, ips: 629.49153 images/sec, eta: 2:56:29 +[2022/05/18 19:22:21] ppcls INFO: [Train][Epoch 1/20][Iter: 910/1347]lr: 0.00541, CELoss: 10.92164, loss: 10.92164, batch_cost: 0.40649s, reader_cost: 0.02795, ips: 629.77653 images/sec, eta: 2:56:21 +[2022/05/18 19:22:25] ppcls INFO: [Train][Epoch 1/20][Iter: 920/1347]lr: 0.00547, CELoss: 10.88500, loss: 10.88500, batch_cost: 0.40644s, reader_cost: 0.02783, ips: 629.85359 images/sec, eta: 2:56:15 +[2022/05/18 19:22:29] ppcls INFO: [Train][Epoch 1/20][Iter: 930/1347]lr: 0.00553, CELoss: 10.84957, loss: 10.84957, batch_cost: 0.40644s, reader_cost: 0.02786, ips: 629.85582 images/sec, eta: 2:56:11 +[2022/05/18 19:22:33] ppcls INFO: [Train][Epoch 1/20][Iter: 940/1347]lr: 0.00559, CELoss: 10.81644, loss: 10.81644, batch_cost: 0.40649s, reader_cost: 0.02800, ips: 629.77454 images/sec, eta: 2:56:08 +[2022/05/18 19:22:37] ppcls INFO: [Train][Epoch 1/20][Iter: 950/1347]lr: 0.00565, CELoss: 10.78105, loss: 10.78105, batch_cost: 0.40627s, reader_cost: 0.02786, ips: 630.11609 images/sec, eta: 2:55:59 +[2022/05/18 19:22:41] ppcls INFO: [Train][Epoch 1/20][Iter: 960/1347]lr: 0.00571, CELoss: 10.74692, loss: 10.74692, batch_cost: 0.40638s, reader_cost: 0.02790, ips: 629.95415 images/sec, eta: 2:55:57 +[2022/05/18 19:22:46] ppcls INFO: [Train][Epoch 1/20][Iter: 970/1347]lr: 0.00577, CELoss: 10.71234, loss: 10.71234, batch_cost: 0.40689s, reader_cost: 0.02826, ips: 629.15573 images/sec, eta: 2:56:07 +[2022/05/18 19:22:50] ppcls INFO: [Train][Epoch 1/20][Iter: 980/1347]lr: 0.00583, CELoss: 10.67730, loss: 10.67730, batch_cost: 0.40756s, reader_cost: 0.02874, ips: 628.13238 images/sec, eta: 2:56:20 +[2022/05/18 19:22:54] ppcls INFO: [Train][Epoch 1/20][Iter: 990/1347]lr: 0.00589, CELoss: 10.64523, loss: 10.64523, batch_cost: 0.40744s, reader_cost: 0.02870, ips: 628.30716 images/sec, eta: 2:56:13 +[2022/05/18 19:22:58] ppcls INFO: [Train][Epoch 1/20][Iter: 1000/1347]lr: 0.00595, CELoss: 10.61207, loss: 10.61207, batch_cost: 0.40729s, reader_cost: 0.02853, ips: 628.54663 images/sec, eta: 2:56:05 +[2022/05/18 19:23:02] ppcls INFO: [Train][Epoch 1/20][Iter: 1010/1347]lr: 0.00600, CELoss: 10.57753, loss: 10.57753, batch_cost: 0.40728s, reader_cost: 0.02851, ips: 628.55846 images/sec, eta: 2:56:00 +[2022/05/18 19:23:06] ppcls INFO: [Train][Epoch 1/20][Iter: 1020/1347]lr: 0.00606, CELoss: 10.54273, loss: 10.54273, batch_cost: 0.40695s, reader_cost: 0.02828, ips: 629.07305 images/sec, eta: 2:55:48 +[2022/05/18 19:23:10] ppcls INFO: [Train][Epoch 1/20][Iter: 1030/1347]lr: 0.00612, CELoss: 10.50857, loss: 10.50857, batch_cost: 0.40671s, reader_cost: 0.02815, ips: 629.43866 images/sec, eta: 2:55:37 +[2022/05/18 19:23:14] ppcls INFO: [Train][Epoch 1/20][Iter: 1040/1347]lr: 0.00618, CELoss: 10.47629, loss: 10.47629, batch_cost: 0.40660s, reader_cost: 0.02815, ips: 629.60984 images/sec, eta: 2:55:30 +[2022/05/18 19:23:18] ppcls INFO: [Train][Epoch 1/20][Iter: 1050/1347]lr: 0.00624, CELoss: 10.44377, loss: 10.44377, batch_cost: 0.40644s, reader_cost: 0.02805, ips: 629.85295 images/sec, eta: 2:55:22 +[2022/05/18 19:23:22] ppcls INFO: [Train][Epoch 1/20][Iter: 1060/1347]lr: 0.00630, CELoss: 10.41010, loss: 10.41010, batch_cost: 0.40632s, reader_cost: 0.02789, ips: 630.04265 images/sec, eta: 2:55:15 +[2022/05/18 19:23:26] ppcls INFO: [Train][Epoch 1/20][Iter: 1070/1347]lr: 0.00636, CELoss: 10.37809, loss: 10.37809, batch_cost: 0.40619s, reader_cost: 0.02778, ips: 630.25083 images/sec, eta: 2:55:08 +[2022/05/18 19:23:30] ppcls INFO: [Train][Epoch 1/20][Iter: 1080/1347]lr: 0.00642, CELoss: 10.34620, loss: 10.34620, batch_cost: 0.40631s, reader_cost: 0.02784, ips: 630.05554 images/sec, eta: 2:55:07 +[2022/05/18 19:23:34] ppcls INFO: [Train][Epoch 1/20][Iter: 1090/1347]lr: 0.00648, CELoss: 10.31390, loss: 10.31390, batch_cost: 0.40639s, reader_cost: 0.02787, ips: 629.94270 images/sec, eta: 2:55:05 +[2022/05/18 19:23:38] ppcls INFO: [Train][Epoch 1/20][Iter: 1100/1347]lr: 0.00654, CELoss: 10.27967, loss: 10.27967, batch_cost: 0.40632s, reader_cost: 0.02785, ips: 630.04086 images/sec, eta: 2:54:59 +[2022/05/18 19:23:42] ppcls INFO: [Train][Epoch 1/20][Iter: 1110/1347]lr: 0.00660, CELoss: 10.24784, loss: 10.24784, batch_cost: 0.40615s, reader_cost: 0.02774, ips: 630.31098 images/sec, eta: 2:54:50 +[2022/05/18 19:23:46] ppcls INFO: [Train][Epoch 1/20][Iter: 1120/1347]lr: 0.00666, CELoss: 10.21749, loss: 10.21749, batch_cost: 0.40603s, reader_cost: 0.02761, ips: 630.49466 images/sec, eta: 2:54:43 +[2022/05/18 19:23:50] ppcls INFO: [Train][Epoch 1/20][Iter: 1130/1347]lr: 0.00672, CELoss: 10.18693, loss: 10.18693, batch_cost: 0.40590s, reader_cost: 0.02749, ips: 630.70382 images/sec, eta: 2:54:36 +[2022/05/18 19:23:54] ppcls INFO: [Train][Epoch 1/20][Iter: 1140/1347]lr: 0.00678, CELoss: 10.15402, loss: 10.15402, batch_cost: 0.40594s, reader_cost: 0.02741, ips: 630.63369 images/sec, eta: 2:54:33 +[2022/05/18 19:23:58] ppcls INFO: [Train][Epoch 1/20][Iter: 1150/1347]lr: 0.00684, CELoss: 10.12483, loss: 10.12483, batch_cost: 0.40622s, reader_cost: 0.02758, ips: 630.20046 images/sec, eta: 2:54:36 +[2022/05/18 19:24:03] ppcls INFO: [Train][Epoch 1/20][Iter: 1160/1347]lr: 0.00690, CELoss: 10.09472, loss: 10.09472, batch_cost: 0.40677s, reader_cost: 0.02802, ips: 629.34608 images/sec, eta: 2:54:46 +[2022/05/18 19:24:07] ppcls INFO: [Train][Epoch 1/20][Iter: 1170/1347]lr: 0.00695, CELoss: 10.06402, loss: 10.06402, batch_cost: 0.40691s, reader_cost: 0.02814, ips: 629.13166 images/sec, eta: 2:54:46 +[2022/05/18 19:24:11] ppcls INFO: [Train][Epoch 1/20][Iter: 1180/1347]lr: 0.00701, CELoss: 10.03467, loss: 10.03467, batch_cost: 0.40682s, reader_cost: 0.02811, ips: 629.26362 images/sec, eta: 2:54:39 +[2022/05/18 19:24:15] ppcls INFO: [Train][Epoch 1/20][Iter: 1190/1347]lr: 0.00707, CELoss: 10.00592, loss: 10.00592, batch_cost: 0.40677s, reader_cost: 0.02812, ips: 629.35206 images/sec, eta: 2:54:34 +[2022/05/18 19:24:19] ppcls INFO: [Train][Epoch 1/20][Iter: 1200/1347]lr: 0.00713, CELoss: 9.97731, loss: 9.97731, batch_cost: 0.40663s, reader_cost: 0.02801, ips: 629.57161 images/sec, eta: 2:54:26 +[2022/05/18 19:24:23] ppcls INFO: [Train][Epoch 1/20][Iter: 1210/1347]lr: 0.00719, CELoss: 9.94686, loss: 9.94686, batch_cost: 0.40657s, reader_cost: 0.02802, ips: 629.66117 images/sec, eta: 2:54:20 +[2022/05/18 19:24:27] ppcls INFO: [Train][Epoch 1/20][Iter: 1220/1347]lr: 0.00725, CELoss: 9.91745, loss: 9.91745, batch_cost: 0.40648s, reader_cost: 0.02800, ips: 629.79182 images/sec, eta: 2:54:14 +[2022/05/18 19:24:31] ppcls INFO: [Train][Epoch 1/20][Iter: 1230/1347]lr: 0.00731, CELoss: 9.88898, loss: 9.88898, batch_cost: 0.40630s, reader_cost: 0.02788, ips: 630.08018 images/sec, eta: 2:54:05 +[2022/05/18 19:24:35] ppcls INFO: [Train][Epoch 1/20][Iter: 1240/1347]lr: 0.00737, CELoss: 9.85868, loss: 9.85868, batch_cost: 0.40633s, reader_cost: 0.02783, ips: 630.03197 images/sec, eta: 2:54:02 +[2022/05/18 19:24:39] ppcls INFO: [Train][Epoch 1/20][Iter: 1250/1347]lr: 0.00743, CELoss: 9.83012, loss: 9.83012, batch_cost: 0.40648s, reader_cost: 0.02797, ips: 629.79140 images/sec, eta: 2:54:02 +[2022/05/18 19:24:43] ppcls INFO: [Train][Epoch 1/20][Iter: 1260/1347]lr: 0.00749, CELoss: 9.80232, loss: 9.80232, batch_cost: 0.40639s, reader_cost: 0.02796, ips: 629.94401 images/sec, eta: 2:53:55 +[2022/05/18 19:24:47] ppcls INFO: [Train][Epoch 1/20][Iter: 1270/1347]lr: 0.00755, CELoss: 9.77235, loss: 9.77235, batch_cost: 0.40631s, reader_cost: 0.02795, ips: 630.06560 images/sec, eta: 2:53:49 +[2022/05/18 19:24:51] ppcls INFO: [Train][Epoch 1/20][Iter: 1280/1347]lr: 0.00761, CELoss: 9.74487, loss: 9.74487, batch_cost: 0.40622s, reader_cost: 0.02795, ips: 630.19500 images/sec, eta: 2:53:43 +[2022/05/18 19:24:55] ppcls INFO: [Train][Epoch 1/20][Iter: 1290/1347]lr: 0.00767, CELoss: 9.71723, loss: 9.71723, batch_cost: 0.40598s, reader_cost: 0.02774, ips: 630.57731 images/sec, eta: 2:53:33 +[2022/05/18 19:24:59] ppcls INFO: [Train][Epoch 1/20][Iter: 1300/1347]lr: 0.00773, CELoss: 9.68954, loss: 9.68954, batch_cost: 0.40603s, reader_cost: 0.02774, ips: 630.48999 images/sec, eta: 2:53:30 +[2022/05/18 19:25:03] ppcls INFO: [Train][Epoch 1/20][Iter: 1310/1347]lr: 0.00779, CELoss: 9.66215, loss: 9.66215, batch_cost: 0.40581s, reader_cost: 0.02753, ips: 630.84182 images/sec, eta: 2:53:20 +[2022/05/18 19:25:07] ppcls INFO: [Train][Epoch 1/20][Iter: 1320/1347]lr: 0.00785, CELoss: 9.63421, loss: 9.63421, batch_cost: 0.40602s, reader_cost: 0.02768, ips: 630.51607 images/sec, eta: 2:53:22 +[2022/05/18 19:25:12] ppcls INFO: [Train][Epoch 1/20][Iter: 1330/1347]lr: 0.00790, CELoss: 9.60797, loss: 9.60797, batch_cost: 0.40642s, reader_cost: 0.02804, ips: 629.88722 images/sec, eta: 2:53:28 +[2022/05/18 19:25:17] ppcls INFO: [Train][Epoch 1/20][Iter: 1340/1347]lr: 0.00796, CELoss: 9.58075, loss: 9.58075, batch_cost: 0.40699s, reader_cost: 0.02849, ips: 629.00792 images/sec, eta: 2:53:38 +[2022/05/18 19:25:19] ppcls INFO: [Train][Epoch 1/20][Avg]CELoss: 9.56455, loss: 9.56455 +[2022/05/18 19:25:20] ppcls INFO: gallery feature calculation process: [0/617] +[2022/05/18 19:25:21] ppcls INFO: gallery feature calculation process: [10/617] +[2022/05/18 19:25:21] ppcls INFO: gallery feature calculation process: [20/617] +[2022/05/18 19:25:22] ppcls INFO: gallery feature calculation process: [30/617] +[2022/05/18 19:25:23] ppcls INFO: gallery feature calculation process: [40/617] +[2022/05/18 19:25:24] ppcls INFO: gallery feature calculation process: [50/617] +[2022/05/18 19:25:24] ppcls INFO: gallery feature calculation process: 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+[2022/05/18 19:26:42] ppcls INFO: query feature calculation process: [420/617] +[2022/05/18 19:26:43] ppcls INFO: query feature calculation process: [430/617] +[2022/05/18 19:26:43] ppcls INFO: query feature calculation process: [440/617] +[2022/05/18 19:26:44] ppcls INFO: query feature calculation process: [450/617] +[2022/05/18 19:26:45] ppcls INFO: query feature calculation process: [460/617] +[2022/05/18 19:26:46] ppcls INFO: query feature calculation process: [470/617] +[2022/05/18 19:26:47] ppcls INFO: query feature calculation process: [480/617] +[2022/05/18 19:26:48] ppcls INFO: query feature calculation process: [490/617] +[2022/05/18 19:26:48] ppcls INFO: query feature calculation process: [500/617] +[2022/05/18 19:26:49] ppcls INFO: query feature calculation process: [510/617] +[2022/05/18 19:26:50] ppcls INFO: query feature calculation process: [520/617] +[2022/05/18 19:26:51] ppcls INFO: query feature calculation process: [530/617] +[2022/05/18 19:26:52] ppcls INFO: query feature calculation process: [540/617] +[2022/05/18 19:26:53] ppcls INFO: query feature calculation process: [550/617] +[2022/05/18 19:26:53] ppcls INFO: query feature calculation process: [560/617] +[2022/05/18 19:26:54] ppcls INFO: query feature calculation process: [570/617] +[2022/05/18 19:26:55] ppcls INFO: query feature calculation process: [580/617] +[2022/05/18 19:26:56] ppcls INFO: query feature calculation process: [590/617] +[2022/05/18 19:26:56] ppcls INFO: query feature calculation process: [600/617] +[2022/05/18 19:26:57] ppcls INFO: query feature calculation process: [610/617] +[2022/05/18 19:26:58] ppcls INFO: Build query done, all feat shape: [39457, 1280], begin to eval.. +[2022/05/18 19:27:00] ppcls INFO: [Eval][Epoch 1][Avg]recall1: 0.88441, recall5: 0.94452 +[2022/05/18 19:27:00] ppcls INFO: Already save model in ./output/RecModel/best_model +[2022/05/18 19:27:00] ppcls INFO: [Eval][Epoch 1][best metric: 0.8844138165791848] +[2022/05/18 19:27:00] ppcls INFO: Already save model in ./output/RecModel/epoch_1 +[2022/05/18 19:27:01] ppcls INFO: Already save model in ./output/RecModel/latest +[2022/05/18 19:27:03] ppcls INFO: [Train][Epoch 2/20][Iter: 0/1347]lr: 0.00801, CELoss: 5.49092, loss: 5.49092, batch_cost: 0.40829s, reader_cost: 0.02984, ips: 627.00121 images/sec, eta: 2:54:09 +[2022/05/18 19:27:07] ppcls INFO: [Train][Epoch 2/20][Iter: 10/1347]lr: 0.00807, CELoss: 5.89194, loss: 5.89194, batch_cost: 0.40427s, reader_cost: 0.02927, ips: 633.24668 images/sec, eta: 2:52:22 +[2022/05/18 19:27:11] ppcls INFO: [Train][Epoch 2/20][Iter: 20/1347]lr: 0.00812, CELoss: 5.79807, loss: 5.79807, batch_cost: 0.40816s, reader_cost: 0.03587, ips: 627.21063 images/sec, eta: 2:53:57 +[2022/05/18 19:27:15] ppcls INFO: [Train][Epoch 2/20][Iter: 30/1347]lr: 0.00818, CELoss: 5.79810, loss: 5.79810, batch_cost: 0.40395s, reader_cost: 0.02869, ips: 633.74224 images/sec, eta: 2:52:06 +[2022/05/18 19:27:19] ppcls INFO: [Train][Epoch 2/20][Iter: 40/1347]lr: 0.00824, CELoss: 5.76652, loss: 5.76652, batch_cost: 0.40525s, reader_cost: 0.03138, ips: 631.71051 images/sec, eta: 2:52:35 +[2022/05/18 19:27:23] ppcls INFO: [Train][Epoch 2/20][Iter: 50/1347]lr: 0.00830, CELoss: 5.75400, loss: 5.75400, batch_cost: 0.40134s, reader_cost: 0.02817, ips: 637.86049 images/sec, eta: 2:50:51 +[2022/05/18 19:27:27] ppcls INFO: [Train][Epoch 2/20][Iter: 60/1347]lr: 0.00836, CELoss: 5.73796, loss: 5.73796, batch_cost: 0.40353s, reader_cost: 0.03069, ips: 634.40515 images/sec, eta: 2:51:43 +[2022/05/18 19:27:31] ppcls INFO: [Train][Epoch 2/20][Iter: 70/1347]lr: 0.00842, CELoss: 5.74239, loss: 5.74239, batch_cost: 0.40303s, reader_cost: 0.02965, ips: 635.18133 images/sec, eta: 2:51:26 +[2022/05/18 19:27:36] ppcls INFO: [Train][Epoch 2/20][Iter: 80/1347]lr: 0.00848, CELoss: 5.73310, loss: 5.73310, batch_cost: 0.41450s, reader_cost: 0.03954, ips: 617.61766 images/sec, eta: 2:56:15 +[2022/05/18 19:27:41] ppcls INFO: [Train][Epoch 2/20][Iter: 90/1347]lr: 0.00854, CELoss: 5.71928, loss: 5.71928, batch_cost: 0.41860s, reader_cost: 0.04155, ips: 611.55839 images/sec, eta: 2:57:55 +[2022/05/18 19:27:45] ppcls INFO: [Train][Epoch 2/20][Iter: 100/1347]lr: 0.00860, CELoss: 5.70806, loss: 5.70806, batch_cost: 0.41830s, reader_cost: 0.04159, ips: 612.00267 images/sec, eta: 2:57:43 +[2022/05/18 19:27:49] ppcls INFO: [Train][Epoch 2/20][Iter: 110/1347]lr: 0.00866, CELoss: 5.71399, loss: 5.71399, batch_cost: 0.41696s, reader_cost: 0.04042, ips: 613.96928 images/sec, eta: 2:57:05 +[2022/05/18 19:27:53] ppcls INFO: [Train][Epoch 2/20][Iter: 120/1347]lr: 0.00872, CELoss: 5.69623, loss: 5.69623, batch_cost: 0.41721s, reader_cost: 0.04034, ips: 613.60026 images/sec, eta: 2:57:07 +[2022/05/18 19:27:57] ppcls INFO: [Train][Epoch 2/20][Iter: 130/1347]lr: 0.00878, CELoss: 5.69455, loss: 5.69455, batch_cost: 0.41744s, reader_cost: 0.04035, ips: 613.26483 images/sec, eta: 2:57:09 +[2022/05/18 19:28:01] ppcls INFO: [Train][Epoch 2/20][Iter: 140/1347]lr: 0.00884, CELoss: 5.67119, loss: 5.67119, batch_cost: 0.41689s, reader_cost: 0.04013, ips: 614.07398 images/sec, eta: 2:56:51 +[2022/05/18 19:28:05] ppcls INFO: [Train][Epoch 2/20][Iter: 150/1347]lr: 0.00890, CELoss: 5.65211, loss: 5.65211, batch_cost: 0.41411s, reader_cost: 0.03765, ips: 618.19879 images/sec, eta: 2:55:36 +[2022/05/18 19:28:09] ppcls INFO: [Train][Epoch 2/20][Iter: 160/1347]lr: 0.00896, CELoss: 5.64150, loss: 5.64150, batch_cost: 0.41345s, reader_cost: 0.03714, ips: 619.17788 images/sec, eta: 2:55:15 +[2022/05/18 19:28:13] ppcls INFO: [Train][Epoch 2/20][Iter: 170/1347]lr: 0.00902, CELoss: 5.62299, loss: 5.62299, batch_cost: 0.41141s, reader_cost: 0.03517, ips: 622.24995 images/sec, eta: 2:54:19 +[2022/05/18 19:28:17] ppcls INFO: [Train][Epoch 2/20][Iter: 180/1347]lr: 0.00907, CELoss: 5.59901, loss: 5.59901, batch_cost: 0.41076s, reader_cost: 0.03469, ips: 623.22889 images/sec, eta: 2:53:58 +[2022/05/18 19:28:21] ppcls INFO: [Train][Epoch 2/20][Iter: 190/1347]lr: 0.00913, CELoss: 5.58033, loss: 5.58033, batch_cost: 0.41232s, reader_cost: 0.03528, ips: 620.86967 images/sec, eta: 2:54:34 +[2022/05/18 19:28:26] ppcls INFO: [Train][Epoch 2/20][Iter: 200/1347]lr: 0.00919, CELoss: 5.57656, loss: 5.57656, batch_cost: 0.41301s, reader_cost: 0.03619, ips: 619.83672 images/sec, eta: 2:54:47 +[2022/05/18 19:28:30] ppcls INFO: [Train][Epoch 2/20][Iter: 210/1347]lr: 0.00925, CELoss: 5.56341, loss: 5.56341, batch_cost: 0.41269s, reader_cost: 0.03606, ips: 620.31969 images/sec, eta: 2:54:35 +[2022/05/18 19:28:33] ppcls INFO: [Train][Epoch 2/20][Iter: 220/1347]lr: 0.00931, CELoss: 5.54701, loss: 5.54701, batch_cost: 0.41074s, reader_cost: 0.03442, ips: 623.26372 images/sec, eta: 2:53:41 +[2022/05/18 19:28:37] ppcls INFO: [Train][Epoch 2/20][Iter: 230/1347]lr: 0.00937, CELoss: 5.53147, loss: 5.53147, batch_cost: 0.41039s, reader_cost: 0.03426, ips: 623.79497 images/sec, eta: 2:53:28 +[2022/05/18 19:28:41] ppcls INFO: [Train][Epoch 2/20][Iter: 240/1347]lr: 0.00943, CELoss: 5.51424, loss: 5.51424, batch_cost: 0.40995s, reader_cost: 0.03390, ips: 624.47213 images/sec, eta: 2:53:13 +[2022/05/18 19:28:46] ppcls INFO: [Train][Epoch 2/20][Iter: 250/1347]lr: 0.00949, CELoss: 5.50028, loss: 5.50028, batch_cost: 0.41143s, reader_cost: 0.03473, ips: 622.22378 images/sec, eta: 2:53:46 +[2022/05/18 19:28:50] ppcls INFO: [Train][Epoch 2/20][Iter: 260/1347]lr: 0.00955, CELoss: 5.48436, loss: 5.48436, batch_cost: 0.41332s, reader_cost: 0.03600, ips: 619.38203 images/sec, eta: 2:54:30 +[2022/05/18 19:28:55] ppcls INFO: [Train][Epoch 2/20][Iter: 270/1347]lr: 0.00961, CELoss: 5.47939, loss: 5.47939, batch_cost: 0.41545s, reader_cost: 0.03799, ips: 616.19998 images/sec, eta: 2:55:20 +[2022/05/18 19:28:59] ppcls INFO: [Train][Epoch 2/20][Iter: 280/1347]lr: 0.00967, CELoss: 5.46358, loss: 5.46358, batch_cost: 0.41517s, reader_cost: 0.03792, ips: 616.60830 images/sec, eta: 2:55:09 +[2022/05/18 19:29:04] ppcls INFO: [Train][Epoch 2/20][Iter: 290/1347]lr: 0.00973, CELoss: 5.45238, loss: 5.45238, batch_cost: 0.41674s, reader_cost: 0.03913, ips: 614.29166 images/sec, eta: 2:55:44 +[2022/05/18 19:29:08] ppcls INFO: [Train][Epoch 2/20][Iter: 300/1347]lr: 0.00979, CELoss: 5.43852, loss: 5.43852, batch_cost: 0.41617s, reader_cost: 0.03874, ips: 615.12723 images/sec, eta: 2:55:26 +[2022/05/18 19:29:12] ppcls INFO: [Train][Epoch 2/20][Iter: 310/1347]lr: 0.00985, CELoss: 5.42741, loss: 5.42741, batch_cost: 0.41519s, reader_cost: 0.03790, ips: 616.58383 images/sec, eta: 2:54:57 +[2022/05/18 19:29:16] ppcls INFO: [Train][Epoch 2/20][Iter: 320/1347]lr: 0.00991, CELoss: 5.40877, loss: 5.40877, batch_cost: 0.41459s, reader_cost: 0.03751, ips: 617.48019 images/sec, eta: 2:54:37 +[2022/05/18 19:29:20] ppcls INFO: [Train][Epoch 2/20][Iter: 330/1347]lr: 0.00997, CELoss: 5.39472, loss: 5.39472, batch_cost: 0.41437s, reader_cost: 0.03753, ips: 617.80123 images/sec, eta: 2:54:28 +[2022/05/18 19:29:24] ppcls INFO: [Train][Epoch 2/20][Iter: 340/1347]lr: 0.01003, CELoss: 5.38239, loss: 5.38239, batch_cost: 0.41549s, reader_cost: 0.03839, ips: 616.14085 images/sec, eta: 2:54:52 +[2022/05/18 19:29:29] ppcls INFO: [Train][Epoch 2/20][Iter: 350/1347]lr: 0.01008, CELoss: 5.37253, loss: 5.37253, batch_cost: 0.41613s, reader_cost: 0.03903, ips: 615.19789 images/sec, eta: 2:55:04 +[2022/05/18 19:29:33] ppcls INFO: [Train][Epoch 2/20][Iter: 360/1347]lr: 0.01014, CELoss: 5.35941, loss: 5.35941, batch_cost: 0.41530s, reader_cost: 0.03831, ips: 616.42242 images/sec, eta: 2:54:39 +[2022/05/18 19:29:37] ppcls INFO: [Train][Epoch 2/20][Iter: 370/1347]lr: 0.01020, CELoss: 5.34666, loss: 5.34666, batch_cost: 0.41496s, reader_cost: 0.03806, ips: 616.92407 images/sec, eta: 2:54:26 +[2022/05/18 19:29:40] ppcls INFO: [Train][Epoch 2/20][Iter: 380/1347]lr: 0.01026, CELoss: 5.33620, loss: 5.33620, batch_cost: 0.41422s, reader_cost: 0.03741, ips: 618.02544 images/sec, eta: 2:54:03 +[2022/05/18 19:29:44] ppcls INFO: [Train][Epoch 2/20][Iter: 390/1347]lr: 0.01032, CELoss: 5.32695, loss: 5.32695, batch_cost: 0.41383s, reader_cost: 0.03717, ips: 618.61488 images/sec, eta: 2:53:49 +[2022/05/18 19:29:48] ppcls INFO: [Train][Epoch 2/20][Iter: 400/1347]lr: 0.01038, CELoss: 5.31844, loss: 5.31844, batch_cost: 0.41308s, reader_cost: 0.03666, ips: 619.73787 images/sec, eta: 2:53:26 +[2022/05/18 19:29:52] ppcls INFO: [Train][Epoch 2/20][Iter: 410/1347]lr: 0.01044, CELoss: 5.30613, loss: 5.30613, batch_cost: 0.41233s, reader_cost: 0.03609, ips: 620.86783 images/sec, eta: 2:53:03 +[2022/05/18 19:29:56] ppcls INFO: [Train][Epoch 2/20][Iter: 420/1347]lr: 0.01050, CELoss: 5.29168, loss: 5.29168, batch_cost: 0.41250s, reader_cost: 0.03615, ips: 620.60915 images/sec, eta: 2:53:03 +[2022/05/18 19:30:02] ppcls INFO: [Train][Epoch 2/20][Iter: 430/1347]lr: 0.01056, CELoss: 5.28103, loss: 5.28103, batch_cost: 0.41511s, reader_cost: 0.03861, ips: 616.71082 images/sec, eta: 2:54:05 +[2022/05/18 19:30:07] ppcls INFO: [Train][Epoch 2/20][Iter: 440/1347]lr: 0.01062, CELoss: 5.26695, loss: 5.26695, batch_cost: 0.41738s, reader_cost: 0.04046, ips: 613.35454 images/sec, eta: 2:54:58 +[2022/05/18 19:30:11] ppcls INFO: [Train][Epoch 2/20][Iter: 450/1347]lr: 0.01068, CELoss: 5.25887, loss: 5.25887, batch_cost: 0.41833s, reader_cost: 0.04128, ips: 611.95972 images/sec, eta: 2:55:18 +[2022/05/18 19:30:15] ppcls INFO: [Train][Epoch 2/20][Iter: 460/1347]lr: 0.01074, CELoss: 5.24634, loss: 5.24634, batch_cost: 0.41786s, reader_cost: 0.04102, ips: 612.64843 images/sec, eta: 2:55:02 +[2022/05/18 19:30:19] ppcls INFO: [Train][Epoch 2/20][Iter: 470/1347]lr: 0.01080, CELoss: 5.23649, loss: 5.23649, batch_cost: 0.41717s, reader_cost: 0.04047, ips: 613.65737 images/sec, eta: 2:54:40 +[2022/05/18 19:30:23] ppcls INFO: [Train][Epoch 2/20][Iter: 480/1347]lr: 0.01086, CELoss: 5.22499, loss: 5.22499, batch_cost: 0.41688s, reader_cost: 0.04025, ips: 614.07920 images/sec, eta: 2:54:29 +[2022/05/18 19:30:27] ppcls INFO: [Train][Epoch 2/20][Iter: 490/1347]lr: 0.01092, CELoss: 5.21439, loss: 5.21439, batch_cost: 0.41652s, reader_cost: 0.03974, ips: 614.61347 images/sec, eta: 2:54:15 +[2022/05/18 19:30:31] ppcls INFO: [Train][Epoch 2/20][Iter: 500/1347]lr: 0.01098, CELoss: 5.20298, loss: 5.20298, batch_cost: 0.41607s, reader_cost: 0.03946, ips: 615.27872 images/sec, eta: 2:54:00 +[2022/05/18 19:30:35] ppcls INFO: [Train][Epoch 2/20][Iter: 510/1347]lr: 0.01103, CELoss: 5.19249, loss: 5.19249, batch_cost: 0.41603s, reader_cost: 0.03949, ips: 615.34404 images/sec, eta: 2:53:55 +[2022/05/18 19:30:39] ppcls INFO: [Train][Epoch 2/20][Iter: 520/1347]lr: 0.01109, CELoss: 5.18338, loss: 5.18338, batch_cost: 0.41544s, reader_cost: 0.03906, ips: 616.20768 images/sec, eta: 2:53:36 +[2022/05/18 19:30:43] ppcls INFO: [Train][Epoch 2/20][Iter: 530/1347]lr: 0.01115, CELoss: 5.17464, loss: 5.17464, batch_cost: 0.41526s, reader_cost: 0.03886, ips: 616.48060 images/sec, eta: 2:53:27 +[2022/05/18 19:30:47] ppcls INFO: [Train][Epoch 2/20][Iter: 540/1347]lr: 0.01121, CELoss: 5.16415, loss: 5.16415, batch_cost: 0.41461s, reader_cost: 0.03818, ips: 617.44110 images/sec, eta: 2:53:07 +[2022/05/18 19:30:51] ppcls INFO: [Train][Epoch 2/20][Iter: 550/1347]lr: 0.01127, CELoss: 5.15447, loss: 5.15447, batch_cost: 0.41426s, reader_cost: 0.03780, ips: 617.96429 images/sec, eta: 2:52:54 +[2022/05/18 19:30:55] ppcls INFO: [Train][Epoch 2/20][Iter: 560/1347]lr: 0.01133, CELoss: 5.14395, loss: 5.14395, batch_cost: 0.41397s, reader_cost: 0.03757, ips: 618.40323 images/sec, eta: 2:52:42 +[2022/05/18 19:30:59] ppcls INFO: [Train][Epoch 2/20][Iter: 570/1347]lr: 0.01139, CELoss: 5.13342, loss: 5.13342, batch_cost: 0.41407s, reader_cost: 0.03771, ips: 618.24558 images/sec, eta: 2:52:41 +[2022/05/18 19:31:03] ppcls INFO: [Train][Epoch 2/20][Iter: 580/1347]lr: 0.01145, CELoss: 5.12443, loss: 5.12443, batch_cost: 0.41395s, reader_cost: 0.03759, ips: 618.43905 images/sec, eta: 2:52:34 +[2022/05/18 19:31:07] ppcls INFO: [Train][Epoch 2/20][Iter: 590/1347]lr: 0.01151, CELoss: 5.11704, loss: 5.11704, batch_cost: 0.41382s, reader_cost: 0.03749, ips: 618.63311 images/sec, eta: 2:52:26 +[2022/05/18 19:31:11] ppcls INFO: [Train][Epoch 2/20][Iter: 600/1347]lr: 0.01157, CELoss: 5.10571, loss: 5.10571, batch_cost: 0.41403s, reader_cost: 0.03750, ips: 618.30667 images/sec, eta: 2:52:27 +[2022/05/18 19:31:17] ppcls INFO: [Train][Epoch 2/20][Iter: 610/1347]lr: 0.01163, CELoss: 5.09875, loss: 5.09875, batch_cost: 0.41571s, reader_cost: 0.03897, ips: 615.81178 images/sec, eta: 2:53:05 +[2022/05/18 19:31:21] ppcls INFO: [Train][Epoch 2/20][Iter: 620/1347]lr: 0.01169, CELoss: 5.09068, loss: 5.09068, batch_cost: 0.41634s, reader_cost: 0.03956, ips: 614.88716 images/sec, eta: 2:53:17 +[2022/05/18 19:31:26] ppcls INFO: [Train][Epoch 2/20][Iter: 630/1347]lr: 0.01175, CELoss: 5.08302, loss: 5.08302, batch_cost: 0.41710s, reader_cost: 0.04024, ips: 613.75746 images/sec, eta: 2:53:32 +[2022/05/18 19:31:30] ppcls INFO: [Train][Epoch 2/20][Iter: 640/1347]lr: 0.01181, CELoss: 5.07220, loss: 5.07220, batch_cost: 0.41687s, reader_cost: 0.03996, ips: 614.10670 images/sec, eta: 2:53:22 +[2022/05/18 19:31:34] ppcls INFO: [Train][Epoch 2/20][Iter: 650/1347]lr: 0.01187, CELoss: 5.06150, loss: 5.06150, batch_cost: 0.41675s, reader_cost: 0.03998, ips: 614.28423 images/sec, eta: 2:53:14 +[2022/05/18 19:31:38] ppcls INFO: [Train][Epoch 2/20][Iter: 660/1347]lr: 0.01193, CELoss: 5.05190, loss: 5.05190, batch_cost: 0.41635s, reader_cost: 0.03960, ips: 614.86941 images/sec, eta: 2:53:00 +[2022/05/18 19:31:42] ppcls INFO: [Train][Epoch 2/20][Iter: 670/1347]lr: 0.01199, CELoss: 5.04590, loss: 5.04590, batch_cost: 0.41600s, reader_cost: 0.03925, ips: 615.37979 images/sec, eta: 2:52:48 +[2022/05/18 19:31:46] ppcls INFO: [Train][Epoch 2/20][Iter: 680/1347]lr: 0.01204, CELoss: 5.03884, loss: 5.03884, batch_cost: 0.41562s, reader_cost: 0.03890, ips: 615.94813 images/sec, eta: 2:52:34 +[2022/05/18 19:31:50] ppcls INFO: [Train][Epoch 2/20][Iter: 690/1347]lr: 0.01210, CELoss: 5.02855, loss: 5.02855, batch_cost: 0.41542s, reader_cost: 0.03876, ips: 616.24400 images/sec, eta: 2:52:25 +[2022/05/18 19:31:54] ppcls INFO: [Train][Epoch 2/20][Iter: 700/1347]lr: 0.01216, CELoss: 5.02016, loss: 5.02016, batch_cost: 0.41502s, reader_cost: 0.03821, ips: 616.84206 images/sec, eta: 2:52:11 +[2022/05/18 19:31:58] ppcls INFO: [Train][Epoch 2/20][Iter: 710/1347]lr: 0.01222, CELoss: 5.01214, loss: 5.01214, batch_cost: 0.41481s, reader_cost: 0.03803, ips: 617.14847 images/sec, eta: 2:52:01 +[2022/05/18 19:32:02] ppcls INFO: [Train][Epoch 2/20][Iter: 720/1347]lr: 0.01228, CELoss: 5.00327, loss: 5.00327, batch_cost: 0.41484s, reader_cost: 0.03807, ips: 617.11157 images/sec, eta: 2:51:58 +[2022/05/18 19:32:06] ppcls INFO: [Train][Epoch 2/20][Iter: 730/1347]lr: 0.01234, CELoss: 4.99421, loss: 4.99421, batch_cost: 0.41481s, reader_cost: 0.03813, ips: 617.14874 images/sec, eta: 2:51:53 +[2022/05/18 19:32:10] ppcls INFO: [Train][Epoch 2/20][Iter: 740/1347]lr: 0.01240, CELoss: 4.98466, loss: 4.98466, batch_cost: 0.41443s, reader_cost: 0.03782, ips: 617.71942 images/sec, eta: 2:51:39 +[2022/05/18 19:32:14] ppcls INFO: [Train][Epoch 2/20][Iter: 750/1347]lr: 0.01246, CELoss: 4.97627, loss: 4.97627, batch_cost: 0.41432s, reader_cost: 0.03774, ips: 617.88084 images/sec, eta: 2:51:32 +[2022/05/18 19:32:18] ppcls INFO: [Train][Epoch 2/20][Iter: 760/1347]lr: 0.01252, CELoss: 4.96908, loss: 4.96908, batch_cost: 0.41436s, reader_cost: 0.03766, ips: 617.82500 images/sec, eta: 2:51:29 +[2022/05/18 19:32:22] ppcls INFO: [Train][Epoch 2/20][Iter: 770/1347]lr: 0.01258, CELoss: 4.96025, loss: 4.96025, batch_cost: 0.41434s, reader_cost: 0.03768, ips: 617.85694 images/sec, eta: 2:51:25 +[2022/05/18 19:32:26] ppcls INFO: [Train][Epoch 2/20][Iter: 780/1347]lr: 0.01264, CELoss: 4.95388, loss: 4.95388, batch_cost: 0.41437s, reader_cost: 0.03766, ips: 617.80598 images/sec, eta: 2:51:21 +[2022/05/18 19:32:31] ppcls INFO: [Train][Epoch 2/20][Iter: 790/1347]lr: 0.01270, CELoss: 4.94295, loss: 4.94295, batch_cost: 0.41571s, reader_cost: 0.03887, ips: 615.80974 images/sec, eta: 2:51:50 +[2022/05/18 19:32:36] ppcls INFO: [Train][Epoch 2/20][Iter: 800/1347]lr: 0.01276, CELoss: 4.93260, loss: 4.93260, batch_cost: 0.41639s, reader_cost: 0.03945, ips: 614.80247 images/sec, eta: 2:52:03 +[2022/05/18 19:32:40] ppcls INFO: [Train][Epoch 2/20][Iter: 810/1347]lr: 0.01282, CELoss: 4.92340, loss: 4.92340, batch_cost: 0.41635s, reader_cost: 0.03949, ips: 614.87396 images/sec, eta: 2:51:58 +[2022/05/18 19:32:44] ppcls INFO: [Train][Epoch 2/20][Iter: 820/1347]lr: 0.01288, CELoss: 4.91721, loss: 4.91721, batch_cost: 0.41595s, reader_cost: 0.03918, ips: 615.46108 images/sec, eta: 2:51:44 +[2022/05/18 19:32:48] ppcls INFO: [Train][Epoch 2/20][Iter: 830/1347]lr: 0.01294, CELoss: 4.90993, loss: 4.90993, batch_cost: 0.41570s, reader_cost: 0.03894, ips: 615.82875 images/sec, eta: 2:51:33 +[2022/05/18 19:32:52] ppcls INFO: [Train][Epoch 2/20][Iter: 840/1347]lr: 0.01299, CELoss: 4.90299, loss: 4.90299, batch_cost: 0.41549s, reader_cost: 0.03881, ips: 616.14265 images/sec, eta: 2:51:24 +[2022/05/18 19:32:56] ppcls INFO: [Train][Epoch 2/20][Iter: 850/1347]lr: 0.01305, CELoss: 4.89488, loss: 4.89488, batch_cost: 0.41542s, reader_cost: 0.03880, ips: 616.24178 images/sec, eta: 2:51:18 +[2022/05/18 19:33:00] ppcls INFO: [Train][Epoch 2/20][Iter: 860/1347]lr: 0.01311, CELoss: 4.88837, loss: 4.88837, batch_cost: 0.41512s, reader_cost: 0.03854, ips: 616.68405 images/sec, eta: 2:51:07 +[2022/05/18 19:33:05] ppcls INFO: [Train][Epoch 2/20][Iter: 870/1347]lr: 0.01317, CELoss: 4.88162, loss: 4.88162, batch_cost: 0.41547s, reader_cost: 0.03889, ips: 616.16229 images/sec, eta: 2:51:11 +[2022/05/18 19:33:08] ppcls INFO: [Train][Epoch 2/20][Iter: 880/1347]lr: 0.01323, CELoss: 4.87481, loss: 4.87481, batch_cost: 0.41525s, reader_cost: 0.03875, ips: 616.49400 images/sec, eta: 2:51:02 +[2022/05/18 19:33:12] ppcls INFO: [Train][Epoch 2/20][Iter: 890/1347]lr: 0.01329, CELoss: 4.86590, loss: 4.86590, batch_cost: 0.41508s, reader_cost: 0.03856, ips: 616.74240 images/sec, eta: 2:50:53 +[2022/05/18 19:33:16] ppcls INFO: [Train][Epoch 2/20][Iter: 900/1347]lr: 0.01335, CELoss: 4.85748, loss: 4.85748, batch_cost: 0.41487s, reader_cost: 0.03833, ips: 617.05666 images/sec, eta: 2:50:44 +[2022/05/18 19:33:21] ppcls INFO: [Train][Epoch 2/20][Iter: 910/1347]lr: 0.01341, CELoss: 4.84806, loss: 4.84806, batch_cost: 0.41484s, reader_cost: 0.03833, ips: 617.10725 images/sec, eta: 2:50:39 +[2022/05/18 19:33:25] ppcls INFO: [Train][Epoch 2/20][Iter: 920/1347]lr: 0.01347, CELoss: 4.84046, loss: 4.84046, batch_cost: 0.41498s, reader_cost: 0.03834, ips: 616.90039 images/sec, eta: 2:50:38 +[2022/05/18 19:33:29] ppcls INFO: [Train][Epoch 2/20][Iter: 930/1347]lr: 0.01353, CELoss: 4.83173, loss: 4.83173, batch_cost: 0.41497s, reader_cost: 0.03833, ips: 616.91249 images/sec, eta: 2:50:34 +[2022/05/18 19:33:33] ppcls INFO: [Train][Epoch 2/20][Iter: 940/1347]lr: 0.01359, 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feature calculation process: [570/617] +[2022/05/18 19:38:02] ppcls INFO: query feature calculation process: [580/617] +[2022/05/18 19:38:03] ppcls INFO: query feature calculation process: [590/617] +[2022/05/18 19:38:04] ppcls INFO: query feature calculation process: [600/617] +[2022/05/18 19:38:05] ppcls INFO: query feature calculation process: [610/617] +[2022/05/18 19:38:05] ppcls INFO: Build query done, all feat shape: [39457, 1280], begin to eval.. +[2022/05/18 19:38:07] ppcls INFO: [Eval][Epoch 2][Avg]recall1: 0.91190, recall5: 0.95667 +[2022/05/18 19:38:07] ppcls INFO: Already save model in ./output/RecModel/best_model +[2022/05/18 19:38:07] ppcls INFO: [Eval][Epoch 2][best metric: 0.9118979497023801] +[2022/05/18 19:38:08] ppcls INFO: Already save model in ./output/RecModel/epoch_2 +[2022/05/18 19:38:08] ppcls INFO: Already save model in ./output/RecModel/latest +[2022/05/18 19:38:11] ppcls INFO: [Train][Epoch 3/20][Iter: 0/1347]lr: 0.01601, CELoss: 3.69603, loss: 3.69603, batch_cost: 0.41488s, reader_cost: 0.03777, ips: 617.04719 images/sec, eta: 2:47:39 +[2022/05/18 19:38:15] ppcls INFO: [Train][Epoch 3/20][Iter: 10/1347]lr: 0.01607, CELoss: 3.63900, loss: 3.63900, batch_cost: 0.39608s, reader_cost: 0.02792, ips: 646.34124 images/sec, eta: 2:39:59 +[2022/05/18 19:38:19] ppcls INFO: [Train][Epoch 3/20][Iter: 20/1347]lr: 0.01612, CELoss: 3.65914, loss: 3.65914, batch_cost: 0.39990s, reader_cost: 0.02534, ips: 640.16156 images/sec, eta: 2:41:27 +[2022/05/18 19:38:23] ppcls INFO: [Train][Epoch 3/20][Iter: 30/1347]lr: 0.01618, CELoss: 3.66912, loss: 3.66912, batch_cost: 0.40148s, reader_cost: 0.02376, ips: 637.64626 images/sec, eta: 2:42:02 +[2022/05/18 19:38:27] ppcls INFO: [Train][Epoch 3/20][Iter: 40/1347]lr: 0.01624, CELoss: 3.66105, loss: 3.66105, batch_cost: 0.39928s, reader_cost: 0.02264, ips: 641.16183 images/sec, eta: 2:41:04 +[2022/05/18 19:38:31] ppcls INFO: [Train][Epoch 3/20][Iter: 50/1347]lr: 0.01630, CELoss: 3.65736, loss: 3.65736, batch_cost: 0.40160s, reader_cost: 0.02085, ips: 637.45054 images/sec, eta: 2:41:57 +[2022/05/18 19:38:35] ppcls INFO: [Train][Epoch 3/20][Iter: 60/1347]lr: 0.01636, CELoss: 3.63609, loss: 3.63609, batch_cost: 0.41127s, reader_cost: 0.02992, ips: 622.46329 images/sec, eta: 2:45:46 +[2022/05/18 19:38:40] ppcls INFO: [Train][Epoch 3/20][Iter: 70/1347]lr: 0.01642, CELoss: 3.63571, loss: 3.63571, batch_cost: 0.41474s, reader_cost: 0.03269, ips: 617.26059 images/sec, eta: 2:47:06 +[2022/05/18 19:38:44] ppcls INFO: [Train][Epoch 3/20][Iter: 80/1347]lr: 0.01648, CELoss: 3.63813, loss: 3.63813, batch_cost: 0.41750s, reader_cost: 0.03571, ips: 613.17650 images/sec, eta: 2:48:09 +[2022/05/18 19:38:48] ppcls INFO: [Train][Epoch 3/20][Iter: 90/1347]lr: 0.01654, CELoss: 3.63125, loss: 3.63125, batch_cost: 0.41246s, reader_cost: 0.03181, ips: 620.66490 images/sec, eta: 2:46:03 +[2022/05/18 19:38:52] ppcls INFO: [Train][Epoch 3/20][Iter: 100/1347]lr: 0.01660, CELoss: 3.61842, loss: 3.61842, batch_cost: 0.41012s, reader_cost: 0.02982, ips: 624.20803 images/sec, eta: 2:45:02 +[2022/05/18 19:38:56] ppcls INFO: [Train][Epoch 3/20][Iter: 110/1347]lr: 0.01666, CELoss: 3.60862, loss: 3.60862, batch_cost: 0.41258s, reader_cost: 0.03243, ips: 620.47830 images/sec, eta: 2:45:58 +[2022/05/18 19:39:00] ppcls INFO: [Train][Epoch 3/20][Iter: 120/1347]lr: 0.01672, CELoss: 3.60604, loss: 3.60604, batch_cost: 0.40921s, reader_cost: 0.02995, ips: 625.59222 images/sec, eta: 2:44:32 +[2022/05/18 19:39:03] ppcls INFO: [Train][Epoch 3/20][Iter: 130/1347]lr: 0.01678, CELoss: 3.59705, loss: 3.59705, batch_cost: 0.40628s, reader_cost: 0.02763, ips: 630.10619 images/sec, eta: 2:43:17 +[2022/05/18 19:39:07] ppcls INFO: [Train][Epoch 3/20][Iter: 140/1347]lr: 0.01684, CELoss: 3.59501, loss: 3.59501, batch_cost: 0.40490s, reader_cost: 0.02660, ips: 632.25016 images/sec, eta: 2:42:40 +[2022/05/18 19:39:11] ppcls INFO: [Train][Epoch 3/20][Iter: 150/1347]lr: 0.01690, CELoss: 3.59660, loss: 3.59660, batch_cost: 0.40343s, reader_cost: 0.02571, ips: 634.55161 images/sec, eta: 2:42:01 +[2022/05/18 19:39:15] ppcls INFO: [Train][Epoch 3/20][Iter: 160/1347]lr: 0.01696, CELoss: 3.58889, loss: 3.58889, batch_cost: 0.40298s, reader_cost: 0.02559, ips: 635.26273 images/sec, eta: 2:41:46 +[2022/05/18 19:39:19] ppcls INFO: [Train][Epoch 3/20][Iter: 170/1347]lr: 0.01702, CELoss: 3.59513, loss: 3.59513, batch_cost: 0.40078s, reader_cost: 0.02409, ips: 638.76095 images/sec, eta: 2:40:49 +[2022/05/18 19:39:23] ppcls INFO: [Train][Epoch 3/20][Iter: 180/1347]lr: 0.01707, CELoss: 3.58934, loss: 3.58934, batch_cost: 0.39992s, reader_cost: 0.02360, ips: 640.13409 images/sec, eta: 2:40:24 +[2022/05/18 19:39:27] ppcls INFO: [Train][Epoch 3/20][Iter: 190/1347]lr: 0.01713, CELoss: 3.58835, loss: 3.58835, batch_cost: 0.40061s, reader_cost: 0.02388, ips: 639.01781 images/sec, eta: 2:40:37 +[2022/05/18 19:39:31] ppcls INFO: [Train][Epoch 3/20][Iter: 200/1347]lr: 0.01719, CELoss: 3.58475, loss: 3.58475, batch_cost: 0.39992s, reader_cost: 0.02345, ips: 640.12850 images/sec, eta: 2:40:16 +[2022/05/18 19:39:35] ppcls INFO: [Train][Epoch 3/20][Iter: 210/1347]lr: 0.01725, CELoss: 3.57998, loss: 3.57998, batch_cost: 0.39919s, reader_cost: 0.02311, ips: 641.29777 images/sec, eta: 2:39:54 +[2022/05/18 19:39:38] ppcls INFO: [Train][Epoch 3/20][Iter: 220/1347]lr: 0.01731, CELoss: 3.58609, loss: 3.58609, batch_cost: 0.39863s, reader_cost: 0.02286, ips: 642.20327 images/sec, eta: 2:39:37 +[2022/05/18 19:39:42] ppcls INFO: [Train][Epoch 3/20][Iter: 230/1347]lr: 0.01737, CELoss: 3.58051, loss: 3.58051, batch_cost: 0.39746s, reader_cost: 0.02209, ips: 644.09466 images/sec, eta: 2:39:05 +[2022/05/18 19:39:47] ppcls INFO: [Train][Epoch 3/20][Iter: 240/1347]lr: 0.01743, CELoss: 3.57651, loss: 3.57651, batch_cost: 0.40069s, reader_cost: 0.02484, ips: 638.89535 images/sec, eta: 2:40:19 +[2022/05/18 19:39:51] ppcls INFO: [Train][Epoch 3/20][Iter: 250/1347]lr: 0.01749, CELoss: 3.57712, loss: 3.57712, batch_cost: 0.40188s, reader_cost: 0.02571, ips: 637.01121 images/sec, eta: 2:40:43 +[2022/05/18 19:39:56] ppcls INFO: [Train][Epoch 3/20][Iter: 260/1347]lr: 0.01755, CELoss: 3.58029, loss: 3.58029, batch_cost: 0.40414s, reader_cost: 0.02760, ips: 633.43971 images/sec, eta: 2:41:33 +[2022/05/18 19:40:00] ppcls INFO: [Train][Epoch 3/20][Iter: 270/1347]lr: 0.01761, CELoss: 3.57759, loss: 3.57759, batch_cost: 0.40536s, reader_cost: 0.02843, ips: 631.54007 images/sec, eta: 2:41:58 +[2022/05/18 19:40:04] ppcls INFO: [Train][Epoch 3/20][Iter: 280/1347]lr: 0.01767, CELoss: 3.57498, loss: 3.57498, batch_cost: 0.40463s, reader_cost: 0.02802, ips: 632.68038 images/sec, eta: 2:41:37 +[2022/05/18 19:40:08] ppcls INFO: [Train][Epoch 3/20][Iter: 290/1347]lr: 0.01773, CELoss: 3.56731, loss: 3.56731, batch_cost: 0.40391s, reader_cost: 0.02756, ips: 633.80468 images/sec, eta: 2:41:16 +[2022/05/18 19:40:12] ppcls INFO: [Train][Epoch 3/20][Iter: 300/1347]lr: 0.01779, CELoss: 3.56421, loss: 3.56421, batch_cost: 0.40405s, reader_cost: 0.02806, ips: 633.58610 images/sec, eta: 2:41:15 +[2022/05/18 19:40:16] ppcls INFO: [Train][Epoch 3/20][Iter: 310/1347]lr: 0.01785, CELoss: 3.56041, loss: 3.56041, batch_cost: 0.40299s, reader_cost: 0.02716, ips: 635.24769 images/sec, eta: 2:40:46 +[2022/05/18 19:40:19] ppcls INFO: [Train][Epoch 3/20][Iter: 320/1347]lr: 0.01791, CELoss: 3.55834, loss: 3.55834, batch_cost: 0.40245s, reader_cost: 0.02685, ips: 636.10335 images/sec, eta: 2:40:29 +[2022/05/18 19:40:23] ppcls INFO: [Train][Epoch 3/20][Iter: 330/1347]lr: 0.01797, CELoss: 3.55644, loss: 3.55644, batch_cost: 0.40189s, reader_cost: 0.02652, ips: 636.98692 images/sec, eta: 2:40:11 +[2022/05/18 19:40:27] ppcls INFO: [Train][Epoch 3/20][Iter: 340/1347]lr: 0.01803, CELoss: 3.55493, loss: 3.55493, batch_cost: 0.40142s, reader_cost: 0.02616, ips: 637.72922 images/sec, eta: 2:39:56 +[2022/05/18 19:40:31] ppcls INFO: [Train][Epoch 3/20][Iter: 350/1347]lr: 0.01808, CELoss: 3.54888, loss: 3.54888, batch_cost: 0.40150s, reader_cost: 0.02629, ips: 637.61000 images/sec, eta: 2:39:54 +[2022/05/18 19:40:35] ppcls INFO: [Train][Epoch 3/20][Iter: 360/1347]lr: 0.01814, CELoss: 3.54711, loss: 3.54711, batch_cost: 0.40107s, reader_cost: 0.02597, ips: 638.29946 images/sec, eta: 2:39:39 +[2022/05/18 19:40:39] ppcls INFO: [Train][Epoch 3/20][Iter: 370/1347]lr: 0.01820, CELoss: 3.54874, loss: 3.54874, batch_cost: 0.40059s, reader_cost: 0.02566, ips: 639.05886 images/sec, eta: 2:39:24 +[2022/05/18 19:40:43] ppcls INFO: [Train][Epoch 3/20][Iter: 380/1347]lr: 0.01826, CELoss: 3.54538, loss: 3.54538, batch_cost: 0.40102s, reader_cost: 0.02633, ips: 638.37516 images/sec, eta: 2:39:30 +[2022/05/18 19:40:47] ppcls INFO: [Train][Epoch 3/20][Iter: 390/1347]lr: 0.01832, CELoss: 3.54122, loss: 3.54122, batch_cost: 0.40056s, reader_cost: 0.02602, ips: 639.10701 images/sec, eta: 2:39:15 +[2022/05/18 19:40:51] ppcls INFO: [Train][Epoch 3/20][Iter: 400/1347]lr: 0.01838, CELoss: 3.53841, loss: 3.53841, batch_cost: 0.40020s, reader_cost: 0.02581, ips: 639.67892 images/sec, eta: 2:39:03 +[2022/05/18 19:40:55] ppcls INFO: [Train][Epoch 3/20][Iter: 410/1347]lr: 0.01844, CELoss: 3.53687, loss: 3.53687, batch_cost: 0.39961s, reader_cost: 0.02523, ips: 640.61853 images/sec, eta: 2:38:45 +[2022/05/18 19:40:59] ppcls INFO: [Train][Epoch 3/20][Iter: 420/1347]lr: 0.01850, CELoss: 3.53379, loss: 3.53379, batch_cost: 0.40050s, reader_cost: 0.02565, ips: 639.20609 images/sec, eta: 2:39:02 +[2022/05/18 19:41:04] ppcls INFO: [Train][Epoch 3/20][Iter: 430/1347]lr: 0.01856, CELoss: 3.52897, loss: 3.52897, batch_cost: 0.40246s, reader_cost: 0.02717, ips: 636.08740 images/sec, eta: 2:39:44 +[2022/05/18 19:41:09] ppcls INFO: [Train][Epoch 3/20][Iter: 440/1347]lr: 0.01862, CELoss: 3.52604, loss: 3.52604, batch_cost: 0.40483s, reader_cost: 0.02932, ips: 632.36527 images/sec, eta: 2:40:37 +[2022/05/18 19:41:13] ppcls INFO: [Train][Epoch 3/20][Iter: 450/1347]lr: 0.01868, CELoss: 3.52266, loss: 3.52266, batch_cost: 0.40459s, reader_cost: 0.02933, ips: 632.73751 images/sec, eta: 2:40:27 +[2022/05/18 19:41:17] ppcls INFO: [Train][Epoch 3/20][Iter: 460/1347]lr: 0.01874, CELoss: 3.52256, loss: 3.52256, batch_cost: 0.40396s, reader_cost: 0.02870, ips: 633.73157 images/sec, eta: 2:40:08 +[2022/05/18 19:41:20] ppcls INFO: [Train][Epoch 3/20][Iter: 470/1347]lr: 0.01880, CELoss: 3.52074, loss: 3.52074, batch_cost: 0.40336s, reader_cost: 0.02812, ips: 634.66302 images/sec, eta: 2:39:50 +[2022/05/18 19:41:24] ppcls INFO: [Train][Epoch 3/20][Iter: 480/1347]lr: 0.01886, CELoss: 3.51674, loss: 3.51674, batch_cost: 0.40288s, reader_cost: 0.02771, ips: 635.42536 images/sec, eta: 2:39:34 +[2022/05/18 19:41:28] ppcls INFO: [Train][Epoch 3/20][Iter: 490/1347]lr: 0.01892, CELoss: 3.51529, loss: 3.51529, batch_cost: 0.40228s, reader_cost: 0.02724, ips: 636.37286 images/sec, eta: 2:39:16 +[2022/05/18 19:41:32] ppcls INFO: [Train][Epoch 3/20][Iter: 500/1347]lr: 0.01898, CELoss: 3.51143, loss: 3.51143, batch_cost: 0.40190s, reader_cost: 0.02678, ips: 636.97425 images/sec, eta: 2:39:03 +[2022/05/18 19:41:35] ppcls INFO: [Train][Epoch 3/20][Iter: 510/1347]lr: 0.01903, CELoss: 3.50605, loss: 3.50605, batch_cost: 0.40140s, reader_cost: 0.02627, ips: 637.76884 images/sec, eta: 2:38:47 +[2022/05/18 19:41:39] ppcls INFO: [Train][Epoch 3/20][Iter: 520/1347]lr: 0.01909, CELoss: 3.50274, loss: 3.50274, batch_cost: 0.40129s, reader_cost: 0.02626, ips: 637.93950 images/sec, eta: 2:38:41 +[2022/05/18 19:41:43] ppcls INFO: [Train][Epoch 3/20][Iter: 530/1347]lr: 0.01915, CELoss: 3.50157, loss: 3.50157, batch_cost: 0.40103s, reader_cost: 0.02612, ips: 638.35500 images/sec, eta: 2:38:30 +[2022/05/18 19:41:47] ppcls INFO: [Train][Epoch 3/20][Iter: 540/1347]lr: 0.01921, CELoss: 3.49926, loss: 3.49926, batch_cost: 0.40056s, reader_cost: 0.02564, ips: 639.11132 images/sec, eta: 2:38:15 +[2022/05/18 19:41:51] ppcls INFO: [Train][Epoch 3/20][Iter: 550/1347]lr: 0.01927, CELoss: 3.49701, loss: 3.49701, batch_cost: 0.40007s, reader_cost: 0.02521, ips: 639.88137 images/sec, eta: 2:38:00 +[2022/05/18 19:41:55] ppcls INFO: [Train][Epoch 3/20][Iter: 560/1347]lr: 0.01933, CELoss: 3.49722, loss: 3.49722, batch_cost: 0.39976s, reader_cost: 0.02479, ips: 640.39061 images/sec, eta: 2:37:48 +[2022/05/18 19:41:58] ppcls INFO: [Train][Epoch 3/20][Iter: 570/1347]lr: 0.01939, CELoss: 3.49510, loss: 3.49510, batch_cost: 0.39933s, reader_cost: 0.02436, ips: 641.06835 images/sec, eta: 2:37:34 +[2022/05/18 19:42:02] ppcls INFO: [Train][Epoch 3/20][Iter: 580/1347]lr: 0.01945, CELoss: 3.49399, loss: 3.49399, batch_cost: 0.39947s, reader_cost: 0.02432, ips: 640.84776 images/sec, eta: 2:37:33 +[2022/05/18 19:42:07] ppcls INFO: [Train][Epoch 3/20][Iter: 590/1347]lr: 0.01951, CELoss: 3.49107, loss: 3.49107, batch_cost: 0.39993s, reader_cost: 0.02469, ips: 640.11581 images/sec, eta: 2:37:40 +[2022/05/18 19:42:11] ppcls INFO: [Train][Epoch 3/20][Iter: 600/1347]lr: 0.01957, CELoss: 3.48612, loss: 3.48612, batch_cost: 0.39972s, reader_cost: 0.02448, ips: 640.44086 images/sec, eta: 2:37:31 +[2022/05/18 19:42:15] ppcls INFO: [Train][Epoch 3/20][Iter: 610/1347]lr: 0.01963, CELoss: 3.48303, loss: 3.48303, batch_cost: 0.40089s, reader_cost: 0.02538, ips: 638.58335 images/sec, eta: 2:37:55 +[2022/05/18 19:42:20] ppcls INFO: [Train][Epoch 3/20][Iter: 620/1347]lr: 0.01969, CELoss: 3.47979, loss: 3.47979, batch_cost: 0.40152s, reader_cost: 0.02592, ips: 637.58086 images/sec, eta: 2:38:06 +[2022/05/18 19:42:24] ppcls INFO: [Train][Epoch 3/20][Iter: 630/1347]lr: 0.01975, CELoss: 3.47717, loss: 3.47717, batch_cost: 0.40201s, reader_cost: 0.02636, ips: 636.80594 images/sec, eta: 2:38:13 +[2022/05/18 19:42:28] ppcls INFO: [Train][Epoch 3/20][Iter: 640/1347]lr: 0.01981, CELoss: 3.47623, loss: 3.47623, batch_cost: 0.40173s, reader_cost: 0.02614, ips: 637.25134 images/sec, eta: 2:38:03 +[2022/05/18 19:42:32] ppcls INFO: [Train][Epoch 3/20][Iter: 650/1347]lr: 0.01987, CELoss: 3.47088, loss: 3.47088, batch_cost: 0.40144s, reader_cost: 0.02594, ips: 637.69858 images/sec, eta: 2:37:52 +[2022/05/18 19:42:36] ppcls INFO: [Train][Epoch 3/20][Iter: 660/1347]lr: 0.01993, CELoss: 3.47023, loss: 3.47023, batch_cost: 0.40142s, reader_cost: 0.02574, ips: 637.73441 images/sec, eta: 2:37:47 +[2022/05/18 19:42:40] ppcls INFO: [Train][Epoch 3/20][Iter: 670/1347]lr: 0.01999, CELoss: 3.46724, loss: 3.46724, batch_cost: 0.40134s, reader_cost: 0.02572, ips: 637.85598 images/sec, eta: 2:37:42 +[2022/05/18 19:42:44] ppcls INFO: [Train][Epoch 3/20][Iter: 680/1347]lr: 0.02004, CELoss: 3.46457, loss: 3.46457, batch_cost: 0.40116s, reader_cost: 0.02553, ips: 638.14691 images/sec, eta: 2:37:33 +[2022/05/18 19:42:48] ppcls INFO: [Train][Epoch 3/20][Iter: 690/1347]lr: 0.02010, CELoss: 3.46134, loss: 3.46134, batch_cost: 0.40172s, reader_cost: 0.02604, ips: 637.26261 images/sec, eta: 2:37:42 +[2022/05/18 19:42:52] ppcls INFO: [Train][Epoch 3/20][Iter: 700/1347]lr: 0.02016, CELoss: 3.45861, loss: 3.45861, batch_cost: 0.40204s, reader_cost: 0.02641, ips: 636.75117 images/sec, eta: 2:37:46 +[2022/05/18 19:42:57] ppcls INFO: [Train][Epoch 3/20][Iter: 710/1347]lr: 0.02022, CELoss: 3.45687, loss: 3.45687, batch_cost: 0.40264s, reader_cost: 0.02709, ips: 635.80059 images/sec, eta: 2:37:56 +[2022/05/18 19:43:00] ppcls INFO: [Train][Epoch 3/20][Iter: 720/1347]lr: 0.02028, CELoss: 3.45516, loss: 3.45516, batch_cost: 0.40226s, reader_cost: 0.02674, ips: 636.40174 images/sec, eta: 2:37:43 +[2022/05/18 19:43:04] ppcls INFO: [Train][Epoch 3/20][Iter: 730/1347]lr: 0.02034, CELoss: 3.45257, loss: 3.45257, batch_cost: 0.40190s, reader_cost: 0.02638, ips: 636.97069 images/sec, eta: 2:37:31 +[2022/05/18 19:43:08] ppcls INFO: [Train][Epoch 3/20][Iter: 740/1347]lr: 0.02040, CELoss: 3.45007, loss: 3.45007, batch_cost: 0.40161s, reader_cost: 0.02604, ips: 637.43379 images/sec, eta: 2:37:20 +[2022/05/18 19:43:12] ppcls INFO: [Train][Epoch 3/20][Iter: 750/1347]lr: 0.02046, CELoss: 3.44849, loss: 3.44849, batch_cost: 0.40123s, reader_cost: 0.02571, ips: 638.03652 images/sec, eta: 2:37:07 +[2022/05/18 19:43:15] ppcls INFO: [Train][Epoch 3/20][Iter: 760/1347]lr: 0.02052, CELoss: 3.44432, loss: 3.44432, batch_cost: 0.40098s, reader_cost: 0.02539, ips: 638.44321 images/sec, eta: 2:36:57 +[2022/05/18 19:43:20] ppcls INFO: [Train][Epoch 3/20][Iter: 770/1347]lr: 0.02058, CELoss: 3.44184, loss: 3.44184, batch_cost: 0.40120s, reader_cost: 0.02548, ips: 638.09264 images/sec, eta: 2:36:58 +[2022/05/18 19:43:24] ppcls INFO: [Train][Epoch 3/20][Iter: 780/1347]lr: 0.02064, CELoss: 3.43899, loss: 3.43899, batch_cost: 0.40151s, reader_cost: 0.02579, ips: 637.59136 images/sec, eta: 2:37:01 +[2022/05/18 19:43:28] ppcls INFO: [Train][Epoch 3/20][Iter: 790/1347]lr: 0.02070, CELoss: 3.43816, loss: 3.43816, batch_cost: 0.40182s, reader_cost: 0.02606, ips: 637.09348 images/sec, eta: 2:37:05 +[2022/05/18 19:43:33] ppcls INFO: [Train][Epoch 3/20][Iter: 800/1347]lr: 0.02076, CELoss: 3.43323, loss: 3.43323, batch_cost: 0.40253s, reader_cost: 0.02665, ips: 635.97907 images/sec, eta: 2:37:17 +[2022/05/18 19:43:37] ppcls INFO: [Train][Epoch 3/20][Iter: 810/1347]lr: 0.02082, CELoss: 3.42998, loss: 3.42998, batch_cost: 0.40257s, reader_cost: 0.02666, ips: 635.90706 images/sec, eta: 2:37:14 +[2022/05/18 19:43:41] ppcls INFO: [Train][Epoch 3/20][Iter: 820/1347]lr: 0.02088, CELoss: 3.42785, loss: 3.42785, batch_cost: 0.40259s, reader_cost: 0.02662, ips: 635.87773 images/sec, eta: 2:37:11 +[2022/05/18 19:43:45] ppcls INFO: [Train][Epoch 3/20][Iter: 830/1347]lr: 0.02094, CELoss: 3.42699, loss: 3.42699, batch_cost: 0.40227s, reader_cost: 0.02634, ips: 636.38635 images/sec, eta: 2:36:59 +[2022/05/18 19:43:48] ppcls INFO: [Train][Epoch 3/20][Iter: 840/1347]lr: 0.02099, CELoss: 3.42466, loss: 3.42466, batch_cost: 0.40195s, reader_cost: 0.02606, ips: 636.89196 images/sec, eta: 2:36:48 +[2022/05/18 19:43:52] ppcls INFO: [Train][Epoch 3/20][Iter: 850/1347]lr: 0.02105, CELoss: 3.42391, loss: 3.42391, batch_cost: 0.40174s, reader_cost: 0.02581, ips: 637.22806 images/sec, eta: 2:36:39 +[2022/05/18 19:43:56] ppcls INFO: [Train][Epoch 3/20][Iter: 860/1347]lr: 0.02111, CELoss: 3.42215, loss: 3.42215, batch_cost: 0.40148s, reader_cost: 0.02554, ips: 637.63489 images/sec, eta: 2:36:29 +[2022/05/18 19:44:00] ppcls INFO: [Train][Epoch 3/20][Iter: 870/1347]lr: 0.02117, CELoss: 3.41960, loss: 3.41960, batch_cost: 0.40128s, reader_cost: 0.02528, ips: 637.95989 images/sec, eta: 2:36:20 +[2022/05/18 19:44:04] ppcls INFO: [Train][Epoch 3/20][Iter: 880/1347]lr: 0.02123, CELoss: 3.41773, loss: 3.41773, batch_cost: 0.40095s, reader_cost: 0.02501, ips: 638.48313 images/sec, eta: 2:36:08 +[2022/05/18 19:44:07] ppcls INFO: [Train][Epoch 3/20][Iter: 890/1347]lr: 0.02129, CELoss: 3.41826, loss: 3.41826, batch_cost: 0.40068s, reader_cost: 0.02475, ips: 638.90596 images/sec, eta: 2:35:58 +[2022/05/18 19:44:11] ppcls INFO: [Train][Epoch 3/20][Iter: 900/1347]lr: 0.02135, CELoss: 3.41543, loss: 3.41543, batch_cost: 0.40057s, reader_cost: 0.02452, ips: 639.09695 images/sec, eta: 2:35:51 +[2022/05/18 19:44:15] ppcls INFO: [Train][Epoch 3/20][Iter: 910/1347]lr: 0.02141, CELoss: 3.41360, loss: 3.41360, batch_cost: 0.40040s, reader_cost: 0.02431, ips: 639.35270 images/sec, eta: 2:35:43 +[2022/05/18 19:44:19] ppcls INFO: [Train][Epoch 3/20][Iter: 920/1347]lr: 0.02147, CELoss: 3.41012, loss: 3.41012, batch_cost: 0.40014s, reader_cost: 0.02408, ips: 639.77046 images/sec, eta: 2:35:33 +[2022/05/18 19:44:23] ppcls INFO: [Train][Epoch 3/20][Iter: 930/1347]lr: 0.02153, CELoss: 3.40846, loss: 3.40846, batch_cost: 0.40011s, reader_cost: 0.02385, ips: 639.81788 images/sec, eta: 2:35:29 +[2022/05/18 19:44:27] ppcls INFO: [Train][Epoch 3/20][Iter: 940/1347]lr: 0.02159, CELoss: 3.40797, loss: 3.40797, batch_cost: 0.40001s, reader_cost: 0.02362, ips: 639.99159 images/sec, eta: 2:35:22 +[2022/05/18 19:44:31] ppcls INFO: [Train][Epoch 3/20][Iter: 950/1347]lr: 0.02165, CELoss: 3.40580, loss: 3.40580, batch_cost: 0.39990s, reader_cost: 0.02342, ips: 640.16312 images/sec, eta: 2:35:16 +[2022/05/18 19:44:34] ppcls INFO: [Train][Epoch 3/20][Iter: 960/1347]lr: 0.02171, CELoss: 3.40389, loss: 3.40389, batch_cost: 0.39971s, reader_cost: 0.02319, ips: 640.46480 images/sec, eta: 2:35:07 +[2022/05/18 19:44:38] ppcls INFO: [Train][Epoch 3/20][Iter: 970/1347]lr: 0.02177, CELoss: 3.40132, loss: 3.40132, batch_cost: 0.39969s, reader_cost: 0.02299, ips: 640.49169 images/sec, eta: 2:35:03 +[2022/05/18 19:44:43] ppcls INFO: [Train][Epoch 3/20][Iter: 980/1347]lr: 0.02183, CELoss: 3.39780, loss: 3.39780, batch_cost: 0.39975s, reader_cost: 0.02279, ips: 640.39243 images/sec, eta: 2:35:00 +[2022/05/18 19:44:47] ppcls INFO: [Train][Epoch 3/20][Iter: 990/1347]lr: 0.02189, CELoss: 3.39446, loss: 3.39446, batch_cost: 0.39999s, reader_cost: 0.02291, ips: 640.02103 images/sec, eta: 2:35:02 +[2022/05/18 19:44:51] ppcls INFO: [Train][Epoch 3/20][Iter: 1000/1347]lr: 0.02195, CELoss: 3.39235, loss: 3.39235, batch_cost: 0.40010s, reader_cost: 0.02305, ips: 639.83912 images/sec, eta: 2:35:00 +[2022/05/18 19:44:55] ppcls INFO: [Train][Epoch 3/20][Iter: 1010/1347]lr: 0.02200, CELoss: 3.39064, loss: 3.39064, batch_cost: 0.39985s, reader_cost: 0.02284, ips: 640.23777 images/sec, eta: 2:34:50 +[2022/05/18 19:44:58] ppcls INFO: [Train][Epoch 3/20][Iter: 1020/1347]lr: 0.02206, CELoss: 3.38833, loss: 3.38833, batch_cost: 0.39963s, reader_cost: 0.02262, ips: 640.58600 images/sec, eta: 2:34:41 +[2022/05/18 19:45:02] ppcls INFO: [Train][Epoch 3/20][Iter: 1030/1347]lr: 0.02212, CELoss: 3.38617, loss: 3.38617, batch_cost: 0.39942s, reader_cost: 0.02242, ips: 640.93562 images/sec, eta: 2:34:32 +[2022/05/18 19:45:06] ppcls INFO: [Train][Epoch 3/20][Iter: 1040/1347]lr: 0.02218, CELoss: 3.38568, loss: 3.38568, batch_cost: 0.39916s, reader_cost: 0.02224, ips: 641.35393 images/sec, eta: 2:34:22 +[2022/05/18 19:45:10] ppcls INFO: [Train][Epoch 3/20][Iter: 1050/1347]lr: 0.02224, CELoss: 3.38210, loss: 3.38210, batch_cost: 0.39895s, reader_cost: 0.02207, ips: 641.69166 images/sec, eta: 2:34:13 +[2022/05/18 19:45:13] ppcls INFO: [Train][Epoch 3/20][Iter: 1060/1347]lr: 0.02230, CELoss: 3.37950, loss: 3.37950, batch_cost: 0.39877s, reader_cost: 0.02189, ips: 641.98150 images/sec, eta: 2:34:05 +[2022/05/18 19:45:17] ppcls INFO: [Train][Epoch 3/20][Iter: 1070/1347]lr: 0.02236, CELoss: 3.37744, loss: 3.37744, batch_cost: 0.39852s, reader_cost: 0.02169, ips: 642.38011 images/sec, eta: 2:33:56 +[2022/05/18 19:45:21] ppcls INFO: [Train][Epoch 3/20][Iter: 1080/1347]lr: 0.02242, CELoss: 3.37568, loss: 3.37568, batch_cost: 0.39842s, reader_cost: 0.02151, ips: 642.54439 images/sec, eta: 2:33:49 +[2022/05/18 19:45:25] ppcls INFO: [Train][Epoch 3/20][Iter: 1090/1347]lr: 0.02248, CELoss: 3.37319, loss: 3.37319, batch_cost: 0.39833s, reader_cost: 0.02136, ips: 642.68326 images/sec, eta: 2:33:43 +[2022/05/18 19:45:29] ppcls INFO: [Train][Epoch 3/20][Iter: 1100/1347]lr: 0.02254, CELoss: 3.36986, loss: 3.36986, batch_cost: 0.39826s, reader_cost: 0.02118, ips: 642.79411 images/sec, eta: 2:33:38 +[2022/05/18 19:45:33] ppcls INFO: [Train][Epoch 3/20][Iter: 1110/1347]lr: 0.02260, CELoss: 3.36733, loss: 3.36733, batch_cost: 0.39831s, reader_cost: 0.02104, ips: 642.71146 images/sec, eta: 2:33:35 +[2022/05/18 19:45:37] ppcls INFO: [Train][Epoch 3/20][Iter: 1120/1347]lr: 0.02266, CELoss: 3.36558, loss: 3.36558, batch_cost: 0.39814s, reader_cost: 0.02089, ips: 642.98709 images/sec, eta: 2:33:27 +[2022/05/18 19:45:41] ppcls INFO: [Train][Epoch 3/20][Iter: 1130/1347]lr: 0.02272, CELoss: 3.36306, loss: 3.36306, batch_cost: 0.39807s, reader_cost: 0.02076, ips: 643.09748 images/sec, eta: 2:33:21 +[2022/05/18 19:45:44] ppcls INFO: [Train][Epoch 3/20][Iter: 1140/1347]lr: 0.02278, CELoss: 3.36034, loss: 3.36034, batch_cost: 0.39790s, reader_cost: 0.02064, ips: 643.37060 images/sec, eta: 2:33:13 +[2022/05/18 19:45:48] ppcls INFO: [Train][Epoch 3/20][Iter: 1150/1347]lr: 0.02284, CELoss: 3.35926, loss: 3.35926, batch_cost: 0.39781s, reader_cost: 0.02049, ips: 643.52108 images/sec, eta: 2:33:07 +[2022/05/18 19:45:52] ppcls INFO: [Train][Epoch 3/20][Iter: 1160/1347]lr: 0.02290, CELoss: 3.35642, loss: 3.35642, batch_cost: 0.39783s, reader_cost: 0.02035, ips: 643.49184 images/sec, eta: 2:33:04 +[2022/05/18 19:45:56] ppcls INFO: [Train][Epoch 3/20][Iter: 1170/1347]lr: 0.02295, CELoss: 3.35393, loss: 3.35393, batch_cost: 0.39785s, reader_cost: 0.02019, ips: 643.46198 images/sec, eta: 2:33:00 +[2022/05/18 19:46:00] ppcls INFO: [Train][Epoch 3/20][Iter: 1180/1347]lr: 0.02301, CELoss: 3.35172, loss: 3.35172, batch_cost: 0.39791s, reader_cost: 0.02015, ips: 643.35504 images/sec, eta: 2:32:58 +[2022/05/18 19:46:04] ppcls INFO: [Train][Epoch 3/20][Iter: 1190/1347]lr: 0.02307, CELoss: 3.34953, loss: 3.34953, batch_cost: 0.39779s, reader_cost: 0.02009, ips: 643.54810 images/sec, eta: 2:32:51 +[2022/05/18 19:46:08] ppcls INFO: [Train][Epoch 3/20][Iter: 1200/1347]lr: 0.02313, CELoss: 3.34740, loss: 3.34740, batch_cost: 0.39770s, reader_cost: 0.02002, ips: 643.70593 images/sec, eta: 2:32:45 +[2022/05/18 19:46:12] ppcls INFO: [Train][Epoch 3/20][Iter: 1210/1347]lr: 0.02319, CELoss: 3.34526, loss: 3.34526, batch_cost: 0.39752s, reader_cost: 0.01986, ips: 643.98517 images/sec, eta: 2:32:37 +[2022/05/18 19:46:16] ppcls INFO: [Train][Epoch 3/20][Iter: 1220/1347]lr: 0.02325, CELoss: 3.34273, loss: 3.34273, batch_cost: 0.39736s, reader_cost: 0.01973, ips: 644.25720 images/sec, eta: 2:32:29 +[2022/05/18 19:46:19] ppcls INFO: [Train][Epoch 3/20][Iter: 1230/1347]lr: 0.02331, CELoss: 3.34078, loss: 3.34078, batch_cost: 0.39723s, reader_cost: 0.01958, ips: 644.46110 images/sec, eta: 2:32:22 +[2022/05/18 19:46:23] ppcls INFO: [Train][Epoch 3/20][Iter: 1240/1347]lr: 0.02337, CELoss: 3.33960, loss: 3.33960, batch_cost: 0.39708s, reader_cost: 0.01946, ips: 644.71302 images/sec, eta: 2:32:15 +[2022/05/18 19:46:27] ppcls INFO: [Train][Epoch 3/20][Iter: 1250/1347]lr: 0.02343, CELoss: 3.33821, loss: 3.33821, batch_cost: 0.39688s, reader_cost: 0.01931, ips: 645.03506 images/sec, eta: 2:32:06 +[2022/05/18 19:46:31] ppcls INFO: [Train][Epoch 3/20][Iter: 1260/1347]lr: 0.02349, CELoss: 3.33538, loss: 3.33538, batch_cost: 0.39672s, reader_cost: 0.01917, ips: 645.28876 images/sec, eta: 2:31:59 +[2022/05/18 19:46:35] ppcls INFO: [Train][Epoch 3/20][Iter: 1270/1347]lr: 0.02355, CELoss: 3.33266, loss: 3.33266, batch_cost: 0.39667s, reader_cost: 0.01903, ips: 645.37449 images/sec, eta: 2:31:53 +[2022/05/18 19:46:38] ppcls INFO: [Train][Epoch 3/20][Iter: 1280/1347]lr: 0.02361, CELoss: 3.33180, loss: 3.33180, batch_cost: 0.39662s, reader_cost: 0.01889, ips: 645.46194 images/sec, eta: 2:31:48 +[2022/05/18 19:46:42] ppcls INFO: [Train][Epoch 3/20][Iter: 1290/1347]lr: 0.02367, CELoss: 3.33069, loss: 3.33069, batch_cost: 0.39653s, reader_cost: 0.01876, ips: 645.59975 images/sec, eta: 2:31:42 +[2022/05/18 19:46:46] ppcls INFO: [Train][Epoch 3/20][Iter: 1300/1347]lr: 0.02373, CELoss: 3.32987, loss: 3.32987, batch_cost: 0.39643s, reader_cost: 0.01862, ips: 645.77140 images/sec, eta: 2:31:36 +[2022/05/18 19:46:50] ppcls INFO: [Train][Epoch 3/20][Iter: 1310/1347]lr: 0.02379, CELoss: 3.32919, loss: 3.32919, batch_cost: 0.39631s, reader_cost: 0.01854, ips: 645.96042 images/sec, eta: 2:31:29 +[2022/05/18 19:46:54] ppcls INFO: [Train][Epoch 3/20][Iter: 1320/1347]lr: 0.02385, CELoss: 3.32842, loss: 3.32842, batch_cost: 0.39618s, reader_cost: 0.01841, ips: 646.16343 images/sec, eta: 2:31:22 +[2022/05/18 19:46:58] ppcls INFO: [Train][Epoch 3/20][Iter: 1330/1347]lr: 0.02390, CELoss: 3.32588, loss: 3.32588, batch_cost: 0.39607s, reader_cost: 0.01831, ips: 646.34523 images/sec, eta: 2:31:16 +[2022/05/18 19:47:01] ppcls INFO: [Train][Epoch 3/20][Iter: 1340/1347]lr: 0.02396, CELoss: 3.32385, loss: 3.32385, batch_cost: 0.39597s, reader_cost: 0.01822, ips: 646.51846 images/sec, eta: 2:31:10 +[2022/05/18 19:47:04] ppcls INFO: [Train][Epoch 3/20][Avg]CELoss: 3.32239, loss: 3.32239 +[2022/05/18 19:47:05] ppcls INFO: gallery feature calculation process: [0/617] +[2022/05/18 19:47:06] ppcls INFO: gallery feature calculation process: [10/617] +[2022/05/18 19:47:07] ppcls INFO: gallery feature calculation process: [20/617] +[2022/05/18 19:47:08] ppcls INFO: gallery feature calculation process: [30/617] +[2022/05/18 19:47:09] ppcls INFO: gallery feature calculation process: [40/617] +[2022/05/18 19:47:10] ppcls INFO: gallery feature calculation process: [50/617] +[2022/05/18 19:47:10] ppcls INFO: gallery feature calculation process: [60/617] +[2022/05/18 19:47:11] ppcls INFO: gallery feature calculation process: [70/617] +[2022/05/18 19:47:12] ppcls INFO: gallery feature calculation process: [80/617] +[2022/05/18 19:47:13] ppcls INFO: gallery feature calculation process: [90/617] +[2022/05/18 19:47:13] ppcls INFO: gallery feature calculation process: [100/617] +[2022/05/18 19:47:14] ppcls INFO: gallery feature calculation process: [110/617] +[2022/05/18 19:47:15] ppcls INFO: gallery feature 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19:47:54] ppcls INFO: gallery feature calculation process: [610/617] +[2022/05/18 19:47:55] ppcls INFO: Build gallery done, all feat shape: [39457, 1280], begin to eval.. +[2022/05/18 19:47:55] ppcls INFO: query feature calculation process: [0/617] +[2022/05/18 19:47:56] ppcls INFO: query feature calculation process: [10/617] +[2022/05/18 19:47:57] ppcls INFO: query feature calculation process: [20/617] +[2022/05/18 19:47:58] ppcls INFO: query feature calculation process: [30/617] +[2022/05/18 19:47:58] ppcls INFO: query feature calculation process: [40/617] +[2022/05/18 19:47:59] ppcls INFO: query feature calculation process: [50/617] +[2022/05/18 19:48:00] ppcls INFO: query feature calculation process: [60/617] +[2022/05/18 19:48:01] ppcls INFO: query feature calculation process: [70/617] +[2022/05/18 19:48:02] ppcls INFO: query feature calculation process: [80/617] +[2022/05/18 19:48:02] ppcls INFO: query feature calculation process: [90/617] +[2022/05/18 19:48:03] ppcls INFO: query feature calculation process: [100/617] +[2022/05/18 19:48:04] ppcls INFO: query feature calculation process: [110/617] +[2022/05/18 19:48:05] ppcls INFO: query feature calculation process: [120/617] +[2022/05/18 19:48:05] ppcls INFO: query feature calculation process: [130/617] +[2022/05/18 19:48:06] ppcls INFO: query feature calculation process: [140/617] +[2022/05/18 19:48:07] ppcls INFO: query feature calculation process: [150/617] +[2022/05/18 19:48:08] ppcls INFO: query feature calculation process: [160/617] +[2022/05/18 19:48:09] ppcls INFO: query feature calculation process: [170/617] +[2022/05/18 19:48:09] ppcls INFO: query feature calculation process: [180/617] +[2022/05/18 19:48:10] ppcls INFO: query feature calculation process: [190/617] +[2022/05/18 19:48:11] ppcls INFO: query feature calculation process: [200/617] +[2022/05/18 19:48:12] ppcls INFO: query feature calculation process: [210/617] +[2022/05/18 19:48:13] ppcls INFO: query feature calculation process: [220/617] +[2022/05/18 19:48:14] ppcls INFO: query feature calculation process: [230/617] +[2022/05/18 19:48:15] ppcls INFO: query feature calculation process: [240/617] +[2022/05/18 19:48:16] ppcls INFO: query feature calculation process: [250/617] +[2022/05/18 19:48:17] ppcls INFO: query feature calculation process: [260/617] +[2022/05/18 19:48:18] ppcls INFO: query feature calculation process: [270/617] +[2022/05/18 19:48:19] ppcls INFO: query feature calculation process: [280/617] +[2022/05/18 19:48:20] ppcls INFO: query feature calculation process: [290/617] +[2022/05/18 19:48:20] ppcls INFO: query feature calculation process: [300/617] +[2022/05/18 19:48:21] ppcls INFO: query feature calculation process: [310/617] +[2022/05/18 19:48:22] ppcls INFO: query feature calculation process: [320/617] +[2022/05/18 19:48:24] ppcls INFO: query feature calculation process: [330/617] +[2022/05/18 19:48:24] ppcls INFO: query feature calculation process: [340/617] +[2022/05/18 19:48:25] ppcls INFO: query feature calculation process: [350/617] +[2022/05/18 19:48:26] ppcls INFO: query feature calculation process: [360/617] +[2022/05/18 19:48:27] ppcls INFO: query feature calculation process: [370/617] +[2022/05/18 19:48:27] ppcls INFO: query feature calculation process: [380/617] +[2022/05/18 19:48:28] ppcls INFO: query feature calculation process: [390/617] +[2022/05/18 19:48:29] ppcls INFO: query feature calculation process: [400/617] +[2022/05/18 19:48:30] ppcls INFO: query feature calculation process: [410/617] +[2022/05/18 19:48:30] ppcls INFO: query feature calculation process: [420/617] +[2022/05/18 19:48:31] ppcls INFO: query feature calculation process: [430/617] +[2022/05/18 19:48:32] ppcls INFO: query feature calculation process: [440/617] +[2022/05/18 19:48:33] ppcls INFO: query feature calculation process: [450/617] +[2022/05/18 19:48:33] ppcls INFO: query feature calculation process: [460/617] +[2022/05/18 19:48:34] ppcls INFO: query feature calculation process: [470/617] +[2022/05/18 19:48:35] ppcls INFO: query feature calculation process: [480/617] +[2022/05/18 19:48:36] ppcls INFO: query feature calculation process: [490/617] +[2022/05/18 19:48:37] ppcls INFO: query feature calculation process: [500/617] +[2022/05/18 19:48:38] ppcls INFO: query feature calculation process: [510/617] +[2022/05/18 19:48:38] ppcls INFO: query feature calculation process: [520/617] +[2022/05/18 19:48:39] ppcls INFO: query feature calculation process: [530/617] +[2022/05/18 19:48:40] ppcls INFO: query feature calculation process: [540/617] +[2022/05/18 19:48:41] ppcls INFO: query feature calculation process: [550/617] +[2022/05/18 19:48:41] ppcls INFO: query feature calculation process: [560/617] +[2022/05/18 19:48:42] ppcls INFO: query feature calculation process: [570/617] +[2022/05/18 19:48:43] ppcls INFO: query feature calculation process: [580/617] +[2022/05/18 19:48:44] ppcls INFO: query feature calculation process: [590/617] +[2022/05/18 19:48:44] ppcls INFO: query feature calculation process: [600/617] +[2022/05/18 19:48:45] ppcls INFO: query feature calculation process: [610/617] +[2022/05/18 19:48:46] ppcls INFO: Build query done, all feat shape: [39457, 1280], begin to eval.. +[2022/05/18 19:48:48] ppcls INFO: [Eval][Epoch 3][Avg]recall1: 0.91362, recall5: 0.95891 +[2022/05/18 19:48:48] ppcls INFO: Already save model in ./output/RecModel/best_model +[2022/05/18 19:48:48] ppcls INFO: [Eval][Epoch 3][best metric: 0.9136219122758064] +[2022/05/18 19:48:49] ppcls INFO: Already save model in ./output/RecModel/epoch_3 +[2022/05/18 19:48:49] ppcls INFO: Already save model in ./output/RecModel/latest +[2022/05/18 19:48:51] ppcls INFO: [Train][Epoch 4/20][Iter: 0/1347]lr: 0.02401, CELoss: 3.00275, loss: 3.00275, batch_cost: 0.39715s, reader_cost: 0.01944, ips: 644.59684 images/sec, eta: 2:31:34 +[2022/05/18 19:48:55] ppcls INFO: [Train][Epoch 4/20][Iter: 10/1347]lr: 0.02407, CELoss: 2.92353, loss: 2.92353, batch_cost: 0.39382s, reader_cost: 0.00402, ips: 650.04158 images/sec, eta: 2:30:14 +[2022/05/18 19:48:59] ppcls INFO: [Train][Epoch 4/20][Iter: 20/1347]lr: 0.02412, CELoss: 2.96034, loss: 2.96034, batch_cost: 0.38508s, reader_cost: 0.00196, ips: 664.79526 images/sec, eta: 2:26:50 +[2022/05/18 19:49:03] ppcls INFO: [Train][Epoch 4/20][Iter: 30/1347]lr: 0.02418, CELoss: 2.95494, loss: 2.95494, batch_cost: 0.38770s, reader_cost: 0.00877, ips: 660.31234 images/sec, eta: 2:27:46 +[2022/05/18 19:49:07] ppcls INFO: [Train][Epoch 4/20][Iter: 40/1347]lr: 0.02424, CELoss: 2.94386, loss: 2.94386, batch_cost: 0.38828s, reader_cost: 0.01116, ips: 659.32016 images/sec, eta: 2:27:55 +[2022/05/18 19:49:11] ppcls INFO: [Train][Epoch 4/20][Iter: 50/1347]lr: 0.02430, CELoss: 2.94578, loss: 2.94578, batch_cost: 0.38811s, reader_cost: 0.01167, ips: 659.59991 images/sec, eta: 2:27:48 +[2022/05/18 19:49:14] ppcls INFO: [Train][Epoch 4/20][Iter: 60/1347]lr: 0.02436, CELoss: 2.93531, loss: 2.93531, batch_cost: 0.38598s, reader_cost: 0.00972, ips: 663.24502 images/sec, eta: 2:26:55 +[2022/05/18 19:49:18] ppcls INFO: [Train][Epoch 4/20][Iter: 70/1347]lr: 0.02442, CELoss: 2.92122, loss: 2.92122, batch_cost: 0.38409s, reader_cost: 0.00836, ips: 666.50813 images/sec, eta: 2:26:08 +[2022/05/18 19:49:22] ppcls INFO: [Train][Epoch 4/20][Iter: 80/1347]lr: 0.02448, CELoss: 2.92874, loss: 2.92874, batch_cost: 0.38261s, reader_cost: 0.00735, ips: 669.08019 images/sec, eta: 2:25:30 +[2022/05/18 19:49:26] ppcls INFO: [Train][Epoch 4/20][Iter: 90/1347]lr: 0.02454, CELoss: 2.92620, loss: 2.92620, batch_cost: 0.38893s, reader_cost: 0.01215, ips: 658.20978 images/sec, eta: 2:27:51 +[2022/05/18 19:49:31] ppcls INFO: [Train][Epoch 4/20][Iter: 100/1347]lr: 0.02460, CELoss: 2.93107, loss: 2.93107, batch_cost: 0.40053s, reader_cost: 0.02307, ips: 639.15936 images/sec, eta: 2:32:11 +[2022/05/18 19:49:36] ppcls INFO: [Train][Epoch 4/20][Iter: 110/1347]lr: 0.02466, CELoss: 2.92808, loss: 2.92808, batch_cost: 0.40760s, reader_cost: 0.02876, ips: 628.06773 images/sec, eta: 2:34:48 +[2022/05/18 19:49:40] ppcls INFO: [Train][Epoch 4/20][Iter: 120/1347]lr: 0.02472, CELoss: 2.93142, loss: 2.93142, batch_cost: 0.40988s, reader_cost: 0.03027, ips: 624.56658 images/sec, eta: 2:35:36 +[2022/05/18 19:49:44] ppcls INFO: [Train][Epoch 4/20][Iter: 130/1347]lr: 0.02478, CELoss: 2.94322, loss: 2.94322, batch_cost: 0.40830s, reader_cost: 0.02897, ips: 626.99716 images/sec, eta: 2:34:56 +[2022/05/18 19:49:48] ppcls INFO: [Train][Epoch 4/20][Iter: 140/1347]lr: 0.02484, CELoss: 2.94373, loss: 2.94373, batch_cost: 0.40717s, reader_cost: 0.02870, ips: 628.72945 images/sec, eta: 2:34:26 +[2022/05/18 19:49:52] ppcls INFO: [Train][Epoch 4/20][Iter: 150/1347]lr: 0.02490, CELoss: 2.93977, loss: 2.93977, batch_cost: 0.40824s, reader_cost: 0.03005, ips: 627.08932 images/sec, eta: 2:34:46 +[2022/05/18 19:49:57] ppcls INFO: [Train][Epoch 4/20][Iter: 160/1347]lr: 0.02496, CELoss: 2.94478, loss: 2.94478, batch_cost: 0.40926s, reader_cost: 0.03068, ips: 625.52085 images/sec, eta: 2:35:06 +[2022/05/18 19:50:01] ppcls INFO: [Train][Epoch 4/20][Iter: 170/1347]lr: 0.02502, CELoss: 2.94464, loss: 2.94464, batch_cost: 0.41291s, reader_cost: 0.03384, ips: 619.98752 images/sec, eta: 2:36:25 +[2022/05/18 19:50:05] ppcls INFO: [Train][Epoch 4/20][Iter: 180/1347]lr: 0.02507, CELoss: 2.94125, loss: 2.94125, batch_cost: 0.41217s, reader_cost: 0.03344, ips: 621.10389 images/sec, eta: 2:36:04 +[2022/05/18 19:50:09] ppcls INFO: [Train][Epoch 4/20][Iter: 190/1347]lr: 0.02513, CELoss: 2.95003, loss: 2.95003, batch_cost: 0.41217s, reader_cost: 0.03364, ips: 621.10441 images/sec, eta: 2:35:59 +[2022/05/18 19:50:13] ppcls INFO: [Train][Epoch 4/20][Iter: 200/1347]lr: 0.02519, CELoss: 2.94619, loss: 2.94619, batch_cost: 0.41176s, reader_cost: 0.03348, ips: 621.72129 images/sec, eta: 2:35:46 +[2022/05/18 19:50:17] ppcls INFO: [Train][Epoch 4/20][Iter: 210/1347]lr: 0.02525, CELoss: 2.94391, loss: 2.94391, batch_cost: 0.41116s, reader_cost: 0.03328, ips: 622.63551 images/sec, eta: 2:35:28 +[2022/05/18 19:50:21] ppcls INFO: [Train][Epoch 4/20][Iter: 220/1347]lr: 0.02531, CELoss: 2.94383, loss: 2.94383, batch_cost: 0.41037s, reader_cost: 0.03290, ips: 623.82896 images/sec, eta: 2:35:06 +[2022/05/18 19:50:25] ppcls INFO: [Train][Epoch 4/20][Iter: 230/1347]lr: 0.02537, CELoss: 2.94296, loss: 2.94296, batch_cost: 0.40992s, reader_cost: 0.03291, ips: 624.51631 images/sec, eta: 2:34:52 +[2022/05/18 19:50:29] ppcls INFO: [Train][Epoch 4/20][Iter: 240/1347]lr: 0.02543, CELoss: 2.94181, loss: 2.94181, batch_cost: 0.40917s, reader_cost: 0.03225, ips: 625.65061 images/sec, eta: 2:34:31 +[2022/05/18 19:50:34] ppcls INFO: [Train][Epoch 4/20][Iter: 250/1347]lr: 0.02549, CELoss: 2.93940, loss: 2.93940, batch_cost: 0.41024s, reader_cost: 0.03338, ips: 624.02134 images/sec, eta: 2:34:51 +[2022/05/18 19:50:38] ppcls INFO: [Train][Epoch 4/20][Iter: 260/1347]lr: 0.02555, CELoss: 2.94166, loss: 2.94166, batch_cost: 0.40978s, reader_cost: 0.03317, ips: 624.72939 images/sec, eta: 2:34:36 +[2022/05/18 19:50:42] ppcls INFO: [Train][Epoch 4/20][Iter: 270/1347]lr: 0.02561, CELoss: 2.94303, loss: 2.94303, batch_cost: 0.41088s, reader_cost: 0.03384, ips: 623.05222 images/sec, eta: 2:34:57 +[2022/05/18 19:50:46] ppcls INFO: [Train][Epoch 4/20][Iter: 280/1347]lr: 0.02567, CELoss: 2.94370, loss: 2.94370, batch_cost: 0.41193s, reader_cost: 0.03463, ips: 621.46051 images/sec, eta: 2:35:17 +[2022/05/18 19:50:51] ppcls INFO: [Train][Epoch 4/20][Iter: 290/1347]lr: 0.02573, CELoss: 2.94079, loss: 2.94079, batch_cost: 0.41431s, reader_cost: 0.03637, ips: 617.89337 images/sec, eta: 2:36:07 +[2022/05/18 19:50:56] ppcls INFO: [Train][Epoch 4/20][Iter: 300/1347]lr: 0.02579, CELoss: 2.93481, loss: 2.93481, batch_cost: 0.41484s, reader_cost: 0.03646, ips: 617.10763 images/sec, eta: 2:36:14 +[2022/05/18 19:51:00] ppcls INFO: [Train][Epoch 4/20][Iter: 310/1347]lr: 0.02585, CELoss: 2.93312, loss: 2.93312, batch_cost: 0.41482s, reader_cost: 0.03671, ips: 617.13634 images/sec, eta: 2:36:10 +[2022/05/18 19:51:04] ppcls INFO: [Train][Epoch 4/20][Iter: 320/1347]lr: 0.02591, CELoss: 2.93261, loss: 2.93261, batch_cost: 0.41663s, reader_cost: 0.03818, ips: 614.45137 images/sec, eta: 2:36:47 +[2022/05/18 19:51:09] ppcls INFO: [Train][Epoch 4/20][Iter: 330/1347]lr: 0.02597, CELoss: 2.93297, loss: 2.93297, batch_cost: 0.41703s, reader_cost: 0.03859, ips: 613.86484 images/sec, eta: 2:36:51 +[2022/05/18 19:51:13] ppcls INFO: [Train][Epoch 4/20][Iter: 340/1347]lr: 0.02603, CELoss: 2.92983, loss: 2.92983, batch_cost: 0.41696s, reader_cost: 0.03871, ips: 613.97485 images/sec, eta: 2:36:46 +[2022/05/18 19:51:17] ppcls INFO: [Train][Epoch 4/20][Iter: 350/1347]lr: 0.02608, CELoss: 2.92965, loss: 2.92965, batch_cost: 0.41702s, reader_cost: 0.03888, ips: 613.88388 images/sec, eta: 2:36:43 +[2022/05/18 19:51:21] ppcls INFO: [Train][Epoch 4/20][Iter: 360/1347]lr: 0.02614, CELoss: 2.93263, loss: 2.93263, batch_cost: 0.41694s, reader_cost: 0.03882, ips: 614.00393 images/sec, eta: 2:36:37 +[2022/05/18 19:51:25] ppcls INFO: [Train][Epoch 4/20][Iter: 370/1347]lr: 0.02620, CELoss: 2.93314, loss: 2.93314, batch_cost: 0.41620s, reader_cost: 0.03831, ips: 615.09232 images/sec, eta: 2:36:16 +[2022/05/18 21:03:30] ppcls INFO: +=========================================================== +== PaddleClas is powered by PaddlePaddle ! == +=========================================================== +== == +== For more info please go to the following website. == +== == +== https://github.com/PaddlePaddle/PaddleClas == +=========================================================== + +[2022/05/18 21:03:30] ppcls INFO: Arch : +[2022/05/18 21:03:30] ppcls INFO: Backbone : +[2022/05/18 21:03:30] ppcls INFO: name : PPLCNet_x2_5 +[2022/05/18 21:03:30] ppcls INFO: pretrained : True +[2022/05/18 21:03:30] ppcls INFO: use_ssld : True +[2022/05/18 21:03:30] ppcls INFO: BackboneStopLayer : +[2022/05/18 21:03:30] ppcls INFO: name : flatten +[2022/05/18 21:03:30] ppcls INFO: Head : +[2022/05/18 21:03:30] ppcls INFO: class_num : 2389 +[2022/05/18 21:03:30] ppcls INFO: embedding_size : 1280 +[2022/05/18 21:03:30] ppcls INFO: margin : 0.2 +[2022/05/18 21:03:30] ppcls INFO: name : ArcMargin +[2022/05/18 21:03:30] ppcls INFO: scale : 30 +[2022/05/18 21:03:30] ppcls INFO: Neck : +[2022/05/18 21:03:30] ppcls INFO: class_num : 1280 +[2022/05/18 21:03:30] ppcls INFO: embedding_size : 1280 +[2022/05/18 21:03:30] ppcls INFO: name : FC +[2022/05/18 21:03:30] ppcls INFO: infer_add_softmax : False +[2022/05/18 21:03:30] ppcls INFO: infer_output_key : features +[2022/05/18 21:03:30] ppcls INFO: name : RecModel +[2022/05/18 21:03:30] ppcls INFO: DataLoader : +[2022/05/18 21:03:30] ppcls INFO: Eval : +[2022/05/18 21:03:30] ppcls INFO: Gallery : +[2022/05/18 21:03:30] ppcls INFO: dataset : +[2022/05/18 21:03:30] ppcls INFO: cls_label_path : /home/aistudio/PaddleClas/dataset/dataset/all/test_list.txt +[2022/05/18 21:03:30] ppcls INFO: image_root : /home/aistudio/PaddleClas/dataset/dataset/all/ +[2022/05/18 21:03:30] ppcls INFO: name : VeriWild +[2022/05/18 21:03:30] ppcls INFO: transform_ops : +[2022/05/18 21:03:30] ppcls INFO: DecodeImage : +[2022/05/18 21:03:30] ppcls INFO: channel_first : False +[2022/05/18 21:03:30] ppcls INFO: to_rgb : True +[2022/05/18 21:03:30] ppcls INFO: ResizeImage : +[2022/05/18 21:03:30] ppcls INFO: size : 224 +[2022/05/18 21:03:30] ppcls INFO: NormalizeImage : +[2022/05/18 21:03:30] ppcls INFO: mean : [0.485, 0.456, 0.406] +[2022/05/18 21:03:30] ppcls INFO: order : +[2022/05/18 21:03:30] ppcls INFO: scale : 0.00392157 +[2022/05/18 21:03:30] ppcls INFO: std : [0.229, 0.224, 0.225] +[2022/05/18 21:03:30] ppcls INFO: loader : +[2022/05/18 21:03:30] ppcls INFO: num_workers : 4 +[2022/05/18 21:03:30] ppcls INFO: use_shared_memory : True +[2022/05/18 21:03:30] ppcls INFO: sampler : +[2022/05/18 21:03:30] ppcls INFO: batch_size : 64 +[2022/05/18 21:03:30] ppcls INFO: drop_last : False +[2022/05/18 21:03:30] ppcls INFO: name : DistributedBatchSampler +[2022/05/18 21:03:30] ppcls INFO: shuffle : False +[2022/05/18 21:03:30] ppcls INFO: Query : +[2022/05/18 21:03:30] ppcls INFO: dataset : +[2022/05/18 21:03:30] ppcls INFO: cls_label_path : /home/aistudio/PaddleClas/dataset/dataset/all/test_list.txt +[2022/05/18 21:03:30] ppcls INFO: image_root : /home/aistudio/PaddleClas/dataset/dataset/all/ +[2022/05/18 21:03:30] ppcls INFO: name : VeriWild +[2022/05/18 21:03:30] ppcls INFO: transform_ops : +[2022/05/18 21:03:30] ppcls INFO: DecodeImage : +[2022/05/18 21:03:30] ppcls INFO: channel_first : False +[2022/05/18 21:03:30] ppcls INFO: to_rgb : True +[2022/05/18 21:03:30] ppcls INFO: ResizeImage : +[2022/05/18 21:03:30] ppcls INFO: size : 224 +[2022/05/18 21:03:30] ppcls INFO: NormalizeImage : +[2022/05/18 21:03:30] ppcls INFO: mean : [0.485, 0.456, 0.406] +[2022/05/18 21:03:30] ppcls INFO: order : +[2022/05/18 21:03:30] ppcls INFO: scale : 0.00392157 +[2022/05/18 21:03:30] ppcls INFO: std : [0.229, 0.224, 0.225] +[2022/05/18 21:03:30] ppcls INFO: loader : +[2022/05/18 21:03:30] ppcls INFO: num_workers : 4 +[2022/05/18 21:03:30] ppcls INFO: use_shared_memory : True +[2022/05/18 21:03:30] ppcls INFO: sampler : +[2022/05/18 21:03:30] ppcls INFO: batch_size : 64 +[2022/05/18 21:03:30] ppcls INFO: drop_last : False +[2022/05/18 21:03:30] ppcls INFO: name : DistributedBatchSampler +[2022/05/18 21:03:30] ppcls INFO: shuffle : False +[2022/05/18 21:03:30] ppcls INFO: Train : +[2022/05/18 21:03:30] ppcls INFO: dataset : +[2022/05/18 21:03:30] ppcls INFO: cls_label_path : /home/aistudio/PaddleClas/dataset/dataset/all/train_list.txt +[2022/05/18 21:03:30] ppcls INFO: image_root : /home/aistudio/PaddleClas/dataset/dataset/all/ +[2022/05/18 21:03:30] ppcls INFO: name : ImageNetDataset +[2022/05/18 21:03:30] ppcls INFO: transform_ops : +[2022/05/18 21:03:30] ppcls INFO: DecodeImage : +[2022/05/18 21:03:30] ppcls INFO: channel_first : False +[2022/05/18 21:03:30] ppcls INFO: to_rgb : True +[2022/05/18 21:03:30] ppcls INFO: RandCropImage : +[2022/05/18 21:03:30] ppcls INFO: size : 224 +[2022/05/18 21:03:30] ppcls INFO: RandFlipImage : +[2022/05/18 21:03:30] ppcls INFO: flip_code : 1 +[2022/05/18 21:03:30] ppcls INFO: NormalizeImage : +[2022/05/18 21:03:30] ppcls INFO: mean : [0.485, 0.456, 0.406] +[2022/05/18 21:03:30] ppcls INFO: order : +[2022/05/18 21:03:30] ppcls INFO: scale : 1.0/255.0 +[2022/05/18 21:03:30] ppcls INFO: std : [0.229, 0.224, 0.225] +[2022/05/18 21:03:30] ppcls INFO: loader : +[2022/05/18 21:03:30] ppcls INFO: num_workers : 4 +[2022/05/18 21:03:30] ppcls INFO: use_shared_memory : True +[2022/05/18 21:03:30] ppcls INFO: sampler : +[2022/05/18 21:03:30] ppcls INFO: batch_size : 256 +[2022/05/18 21:03:30] ppcls INFO: drop_last : False +[2022/05/18 21:03:30] ppcls INFO: name : DistributedBatchSampler +[2022/05/18 21:03:30] ppcls INFO: shuffle : True +[2022/05/18 21:03:30] ppcls INFO: Global : +[2022/05/18 21:03:30] ppcls INFO: checkpoints : None +[2022/05/18 21:03:30] ppcls INFO: device : gpu +[2022/05/18 21:03:30] ppcls INFO: epochs : 20 +[2022/05/18 21:03:30] ppcls INFO: eval_during_train : True +[2022/05/18 21:03:30] ppcls INFO: eval_interval : 1 +[2022/05/18 21:03:30] ppcls INFO: eval_mode : retrieval +[2022/05/18 21:03:30] ppcls INFO: image_shape : [3, 224, 224] +[2022/05/18 21:03:30] ppcls INFO: output_dir : ./output/ +[2022/05/18 21:03:30] ppcls INFO: pretrained_model : None +[2022/05/18 21:03:30] ppcls INFO: print_batch_step : 10 +[2022/05/18 21:03:30] ppcls INFO: save_inference_dir : ./inference +[2022/05/18 21:03:30] ppcls INFO: save_interval : 1 +[2022/05/18 21:03:30] ppcls INFO: to_static : False +[2022/05/18 21:03:30] ppcls INFO: use_dali : False +[2022/05/18 21:03:30] ppcls INFO: use_visualdl : False +[2022/05/18 21:03:30] ppcls INFO: Loss : +[2022/05/18 21:03:30] ppcls INFO: Eval : +[2022/05/18 21:03:30] ppcls INFO: CELoss : +[2022/05/18 21:03:30] ppcls INFO: weight : 1.0 +[2022/05/18 21:03:30] ppcls INFO: Train : +[2022/05/18 21:03:30] ppcls INFO: CELoss : +[2022/05/18 21:03:30] ppcls INFO: weight : 1.0 +[2022/05/18 21:03:30] ppcls INFO: Metric : +[2022/05/18 21:03:30] ppcls INFO: Eval : +[2022/05/18 21:03:30] ppcls INFO: Recallk : +[2022/05/18 21:03:30] ppcls INFO: topk : [1, 5] +[2022/05/18 21:03:30] ppcls INFO: Optimizer : +[2022/05/18 21:03:30] ppcls INFO: lr : +[2022/05/18 21:03:30] ppcls INFO: learning_rate : 0.04 +[2022/05/18 21:03:30] ppcls INFO: name : Cosine +[2022/05/18 21:03:30] ppcls INFO: warmup_epoch : 5 +[2022/05/18 21:03:30] ppcls INFO: momentum : 0.9 +[2022/05/18 21:03:30] ppcls INFO: name : Momentum +[2022/05/18 21:03:30] ppcls INFO: regularizer : +[2022/05/18 21:03:30] ppcls INFO: coeff : 1e-05 +[2022/05/18 21:03:30] ppcls INFO: name : L2 +[2022/05/18 21:03:30] ppcls INFO: profiler_options : None +[2022/05/18 21:03:30] ppcls INFO: train with paddle 2.3.0 and device Place(gpu:0) +[2022/05/18 21:03:41] ppcls INFO: unique_endpoints {''} +[2022/05/18 21:03:41] ppcls INFO: Found /home/aistudio/.paddleclas/weights/PPLCNet_x2_5_ssld_pretrained.pdparams +[2022/05/18 21:03:41] ppcls WARNING: The training strategy in config files provided by PaddleClas is based on 4 gpus. But the number of gpus is 1 in current training. Please modify the stategy (learning rate, batch size and so on) if use config files in PaddleClas to train. +[2022/05/18 21:03:44] ppcls INFO: [Train][Epoch 1/20][Iter: 0/1347]lr: 0.00001, CELoss: 14.02423, loss: 14.02423, batch_cost: 2.69786s, reader_cost: 2.03544, ips: 94.88995 images/sec, eta: 20:11:20 +[2022/05/18 21:03:48] ppcls INFO: [Train][Epoch 1/20][Iter: 10/1347]lr: 0.00007, CELoss: 14.07028, loss: 14.07028, batch_cost: 0.41402s, reader_cost: 0.00183, ips: 618.33109 images/sec, eta: 3:05:49 +[2022/05/18 21:03:53] ppcls INFO: [Train][Epoch 1/20][Iter: 20/1347]lr: 0.00012, CELoss: 14.06910, loss: 14.06910, batch_cost: 0.44880s, reader_cost: 0.05699, ips: 570.40682 images/sec, eta: 3:21:21 +[2022/05/18 21:03:57] ppcls INFO: [Train][Epoch 1/20][Iter: 30/1347]lr: 0.00018, CELoss: 14.06851, loss: 14.06851, batch_cost: 0.43464s, reader_cost: 0.04788, ips: 588.99302 images/sec, eta: 3:14:56 +[2022/05/18 21:04:01] ppcls INFO: [Train][Epoch 1/20][Iter: 40/1347]lr: 0.00024, CELoss: 14.06306, loss: 14.06306, batch_cost: 0.42884s, reader_cost: 0.04665, ips: 596.96344 images/sec, eta: 3:12:15 +[2022/05/18 21:04:05] ppcls INFO: [Train][Epoch 1/20][Iter: 50/1347]lr: 0.00030, CELoss: 14.06180, loss: 14.06180, batch_cost: 0.41946s, reader_cost: 0.03998, ips: 610.31494 images/sec, eta: 3:07:59 +[2022/05/18 21:04:08] ppcls INFO: [Train][Epoch 1/20][Iter: 60/1347]lr: 0.00036, CELoss: 14.04976, loss: 14.04976, batch_cost: 0.41187s, reader_cost: 0.03312, ips: 621.55675 images/sec, eta: 3:04:31 +[2022/05/18 21:04:12] ppcls INFO: [Train][Epoch 1/20][Iter: 70/1347]lr: 0.00042, CELoss: 14.04141, loss: 14.04141, batch_cost: 0.40496s, reader_cost: 0.02820, ips: 632.15408 images/sec, eta: 3:01:21 +[2022/05/18 21:04:16] ppcls INFO: [Train][Epoch 1/20][Iter: 80/1347]lr: 0.00048, CELoss: 14.03005, loss: 14.03005, batch_cost: 0.40114s, reader_cost: 0.02490, ips: 638.18041 images/sec, eta: 2:59:34 +[2022/05/18 21:04:20] ppcls INFO: [Train][Epoch 1/20][Iter: 90/1347]lr: 0.00054, CELoss: 14.01734, loss: 14.01734, batch_cost: 0.39961s, reader_cost: 0.02417, ips: 640.63195 images/sec, eta: 2:58:49 +[2022/05/18 21:04:23] ppcls INFO: [Train][Epoch 1/20][Iter: 100/1347]lr: 0.00060, CELoss: 13.99762, loss: 13.99762, batch_cost: 0.39671s, reader_cost: 0.02172, ips: 645.31313 images/sec, eta: 2:57:27 +[2022/05/18 21:04:27] ppcls INFO: [Train][Epoch 1/20][Iter: 110/1347]lr: 0.00066, CELoss: 13.97859, loss: 13.97859, batch_cost: 0.39589s, reader_cost: 0.02081, ips: 646.64082 images/sec, eta: 2:57:01 +[2022/05/18 21:04:31] ppcls INFO: [Train][Epoch 1/20][Iter: 120/1347]lr: 0.00072, CELoss: 13.95796, loss: 13.95796, batch_cost: 0.39429s, reader_cost: 0.01908, ips: 649.26380 images/sec, eta: 2:56:14 +[2022/05/18 21:04:35] ppcls INFO: [Train][Epoch 1/20][Iter: 130/1347]lr: 0.00078, CELoss: 13.93636, loss: 13.93636, batch_cost: 0.39591s, reader_cost: 0.02136, ips: 646.60828 images/sec, eta: 2:56:54 +[2022/05/18 21:04:39] ppcls INFO: [Train][Epoch 1/20][Iter: 140/1347]lr: 0.00084, CELoss: 13.91138, loss: 13.91138, batch_cost: 0.39531s, reader_cost: 0.01984, ips: 647.59611 images/sec, eta: 2:56:34 +[2022/05/18 21:04:43] ppcls INFO: [Train][Epoch 1/20][Iter: 150/1347]lr: 0.00090, CELoss: 13.88509, loss: 13.88509, batch_cost: 0.39714s, reader_cost: 0.02199, ips: 644.60302 images/sec, eta: 2:57:19 +[2022/05/18 21:04:47] ppcls INFO: [Train][Epoch 1/20][Iter: 160/1347]lr: 0.00096, CELoss: 13.85700, loss: 13.85700, batch_cost: 0.39654s, reader_cost: 0.02155, ips: 645.58362 images/sec, eta: 2:56:59 +[2022/05/18 21:04:51] ppcls INFO: [Train][Epoch 1/20][Iter: 170/1347]lr: 0.00102, CELoss: 13.82812, loss: 13.82812, batch_cost: 0.39568s, reader_cost: 0.02114, ips: 646.99238 images/sec, eta: 2:56:32 +[2022/05/18 21:04:55] ppcls INFO: [Train][Epoch 1/20][Iter: 180/1347]lr: 0.00107, CELoss: 13.79834, loss: 13.79834, batch_cost: 0.39499s, reader_cost: 0.01998, ips: 648.12052 images/sec, eta: 2:56:09 +[2022/05/18 21:04:59] ppcls INFO: [Train][Epoch 1/20][Iter: 190/1347]lr: 0.00113, CELoss: 13.76282, loss: 13.76282, batch_cost: 0.39721s, reader_cost: 0.02214, ips: 644.50261 images/sec, eta: 2:57:05 +[2022/05/18 21:05:04] ppcls INFO: [Train][Epoch 1/20][Iter: 200/1347]lr: 0.00119, CELoss: 13.72716, loss: 13.72716, batch_cost: 0.40143s, reader_cost: 0.02624, ips: 637.71894 images/sec, eta: 2:58:54 +[2022/05/18 21:05:09] ppcls INFO: [Train][Epoch 1/20][Iter: 210/1347]lr: 0.00125, CELoss: 13.68895, loss: 13.68895, batch_cost: 0.40350s, reader_cost: 0.02746, ips: 634.44258 images/sec, eta: 2:59:45 +[2022/05/18 21:05:13] ppcls INFO: [Train][Epoch 1/20][Iter: 220/1347]lr: 0.00131, CELoss: 13.65191, loss: 13.65191, batch_cost: 0.40456s, reader_cost: 0.02881, ips: 632.78490 images/sec, eta: 3:00:09 +[2022/05/18 21:05:17] ppcls INFO: [Train][Epoch 1/20][Iter: 230/1347]lr: 0.00137, CELoss: 13.61287, loss: 13.61287, batch_cost: 0.40311s, reader_cost: 0.02757, ips: 635.06794 images/sec, eta: 2:59:26 +[2022/05/18 21:05:20] ppcls INFO: [Train][Epoch 1/20][Iter: 240/1347]lr: 0.00143, CELoss: 13.57463, loss: 13.57463, batch_cost: 0.40204s, reader_cost: 0.02643, ips: 636.74872 images/sec, eta: 2:58:54 +[2022/05/18 21:05:24] ppcls INFO: [Train][Epoch 1/20][Iter: 250/1347]lr: 0.00149, CELoss: 13.53639, loss: 13.53639, batch_cost: 0.40089s, reader_cost: 0.02549, ips: 638.58042 images/sec, eta: 2:58:19 +[2022/05/18 21:05:28] ppcls INFO: [Train][Epoch 1/20][Iter: 260/1347]lr: 0.00155, CELoss: 13.49811, loss: 13.49811, batch_cost: 0.39991s, reader_cost: 0.02462, ips: 640.13817 images/sec, eta: 2:57:49 +[2022/05/18 21:05:32] ppcls INFO: [Train][Epoch 1/20][Iter: 270/1347]lr: 0.00161, CELoss: 13.45515, loss: 13.45515, batch_cost: 0.39880s, reader_cost: 0.02372, ips: 641.92679 images/sec, eta: 2:57:15 +[2022/05/18 21:05:35] ppcls INFO: [Train][Epoch 1/20][Iter: 280/1347]lr: 0.00167, CELoss: 13.41627, loss: 13.41627, batch_cost: 0.39834s, reader_cost: 0.02307, ips: 642.66210 images/sec, eta: 2:56:59 +[2022/05/18 21:05:39] ppcls INFO: [Train][Epoch 1/20][Iter: 290/1347]lr: 0.00173, CELoss: 13.37508, loss: 13.37508, batch_cost: 0.39791s, reader_cost: 0.02277, ips: 643.35935 images/sec, eta: 2:56:44 +[2022/05/18 21:05:43] ppcls INFO: [Train][Epoch 1/20][Iter: 300/1347]lr: 0.00179, CELoss: 13.33381, loss: 13.33381, batch_cost: 0.39728s, reader_cost: 0.02219, ips: 644.38227 images/sec, eta: 2:56:23 +[2022/05/18 21:05:47] ppcls INFO: [Train][Epoch 1/20][Iter: 310/1347]lr: 0.00185, CELoss: 13.29266, loss: 13.29266, batch_cost: 0.39678s, reader_cost: 0.02149, ips: 645.18844 images/sec, eta: 2:56:06 +[2022/05/18 21:05:51] ppcls INFO: [Train][Epoch 1/20][Iter: 320/1347]lr: 0.00191, CELoss: 13.25397, loss: 13.25397, batch_cost: 0.39696s, reader_cost: 0.02164, ips: 644.90074 images/sec, eta: 2:56:07 +[2022/05/18 21:05:55] ppcls INFO: [Train][Epoch 1/20][Iter: 330/1347]lr: 0.00197, CELoss: 13.21592, loss: 13.21592, batch_cost: 0.39624s, reader_cost: 0.02100, ips: 646.07528 images/sec, eta: 2:55:43 +[2022/05/18 21:05:59] ppcls INFO: [Train][Epoch 1/20][Iter: 340/1347]lr: 0.00203, CELoss: 13.17221, loss: 13.17221, batch_cost: 0.39596s, reader_cost: 0.02084, ips: 646.53105 images/sec, eta: 2:55:32 +[2022/05/18 21:06:02] ppcls INFO: [Train][Epoch 1/20][Iter: 350/1347]lr: 0.00208, CELoss: 13.13147, loss: 13.13147, batch_cost: 0.39543s, reader_cost: 0.02026, ips: 647.39485 images/sec, eta: 2:55:14 +[2022/05/18 21:06:06] ppcls INFO: [Train][Epoch 1/20][Iter: 360/1347]lr: 0.00214, CELoss: 13.08951, loss: 13.08951, batch_cost: 0.39555s, reader_cost: 0.02049, ips: 647.20183 images/sec, eta: 2:55:13 +[2022/05/18 21:06:11] ppcls INFO: [Train][Epoch 1/20][Iter: 370/1347]lr: 0.00220, CELoss: 13.05049, loss: 13.05049, batch_cost: 0.39648s, reader_cost: 0.02144, ips: 645.67749 images/sec, eta: 2:55:34 +[2022/05/18 21:06:15] ppcls INFO: [Train][Epoch 1/20][Iter: 380/1347]lr: 0.00226, CELoss: 13.01076, loss: 13.01076, batch_cost: 0.39647s, reader_cost: 0.02133, ips: 645.70275 images/sec, eta: 2:55:30 +[2022/05/18 21:06:19] ppcls INFO: [Train][Epoch 1/20][Iter: 390/1347]lr: 0.00232, CELoss: 12.96794, loss: 12.96794, batch_cost: 0.39770s, reader_cost: 0.02200, ips: 643.70488 images/sec, eta: 2:55:58 +[2022/05/18 21:06:23] ppcls INFO: [Train][Epoch 1/20][Iter: 400/1347]lr: 0.00238, CELoss: 12.92566, loss: 12.92566, batch_cost: 0.39826s, reader_cost: 0.02230, ips: 642.80057 images/sec, eta: 2:56:09 +[2022/05/18 21:06:27] ppcls INFO: [Train][Epoch 1/20][Iter: 410/1347]lr: 0.00244, CELoss: 12.88555, loss: 12.88555, batch_cost: 0.39849s, reader_cost: 0.02257, ips: 642.43165 images/sec, eta: 2:56:11 +[2022/05/18 21:06:31] ppcls INFO: [Train][Epoch 1/20][Iter: 420/1347]lr: 0.00250, CELoss: 12.84376, loss: 12.84376, batch_cost: 0.39786s, reader_cost: 0.02218, ips: 643.43925 images/sec, eta: 2:55:51 +[2022/05/18 21:06:35] ppcls INFO: [Train][Epoch 1/20][Iter: 430/1347]lr: 0.00256, CELoss: 12.80335, loss: 12.80335, batch_cost: 0.39744s, reader_cost: 0.02186, ips: 644.11807 images/sec, eta: 2:55:36 +[2022/05/18 21:06:39] ppcls INFO: [Train][Epoch 1/20][Iter: 440/1347]lr: 0.00262, CELoss: 12.76377, loss: 12.76377, batch_cost: 0.39704s, reader_cost: 0.02152, ips: 644.76957 images/sec, eta: 2:55:21 +[2022/05/18 21:06:42] ppcls INFO: [Train][Epoch 1/20][Iter: 450/1347]lr: 0.00268, CELoss: 12.72211, loss: 12.72211, batch_cost: 0.39663s, reader_cost: 0.02105, ips: 645.43621 images/sec, eta: 2:55:06 +[2022/05/18 21:06:46] ppcls INFO: [Train][Epoch 1/20][Iter: 460/1347]lr: 0.00274, CELoss: 12.67955, loss: 12.67955, batch_cost: 0.39612s, reader_cost: 0.02063, ips: 646.26623 images/sec, eta: 2:54:49 +[2022/05/18 21:06:50] ppcls INFO: [Train][Epoch 1/20][Iter: 470/1347]lr: 0.00280, CELoss: 12.63891, loss: 12.63891, batch_cost: 0.39572s, reader_cost: 0.02027, ips: 646.92710 images/sec, eta: 2:54:34 +[2022/05/18 21:06:54] ppcls INFO: [Train][Epoch 1/20][Iter: 480/1347]lr: 0.00286, CELoss: 12.59524, loss: 12.59524, batch_cost: 0.39539s, reader_cost: 0.01988, ips: 647.46998 images/sec, eta: 2:54:21 +[2022/05/18 21:06:58] ppcls INFO: [Train][Epoch 1/20][Iter: 490/1347]lr: 0.00292, CELoss: 12.55549, loss: 12.55549, batch_cost: 0.39584s, reader_cost: 0.02016, ips: 646.71923 images/sec, eta: 2:54:30 +[2022/05/18 21:07:02] ppcls INFO: [Train][Epoch 1/20][Iter: 500/1347]lr: 0.00298, CELoss: 12.51529, loss: 12.51529, batch_cost: 0.39561s, reader_cost: 0.02007, ips: 647.09615 images/sec, eta: 2:54:20 +[2022/05/18 21:07:06] ppcls INFO: [Train][Epoch 1/20][Iter: 510/1347]lr: 0.00303, CELoss: 12.47525, loss: 12.47525, batch_cost: 0.39538s, reader_cost: 0.01994, ips: 647.47095 images/sec, eta: 2:54:10 +[2022/05/18 21:07:09] ppcls INFO: [Train][Epoch 1/20][Iter: 520/1347]lr: 0.00309, CELoss: 12.43531, loss: 12.43531, batch_cost: 0.39528s, reader_cost: 0.01991, ips: 647.64713 images/sec, eta: 2:54:03 +[2022/05/18 21:07:13] ppcls INFO: [Train][Epoch 1/20][Iter: 530/1347]lr: 0.00315, CELoss: 12.39515, loss: 12.39515, batch_cost: 0.39536s, reader_cost: 0.02012, ips: 647.51017 images/sec, eta: 2:54:01 +[2022/05/18 21:07:17] ppcls INFO: [Train][Epoch 1/20][Iter: 540/1347]lr: 0.00321, CELoss: 12.35261, loss: 12.35261, batch_cost: 0.39482s, reader_cost: 0.01976, ips: 648.39903 images/sec, eta: 2:53:43 +[2022/05/18 21:07:21] ppcls INFO: [Train][Epoch 1/20][Iter: 550/1347]lr: 0.00327, CELoss: 12.31110, loss: 12.31110, batch_cost: 0.39454s, reader_cost: 0.01962, ips: 648.84888 images/sec, eta: 2:53:32 +[2022/05/18 21:07:25] ppcls INFO: [Train][Epoch 1/20][Iter: 560/1347]lr: 0.00333, CELoss: 12.27129, loss: 12.27129, batch_cost: 0.39439s, reader_cost: 0.01956, ips: 649.10422 images/sec, eta: 2:53:23 +[2022/05/18 21:07:29] ppcls INFO: [Train][Epoch 1/20][Iter: 570/1347]lr: 0.00339, CELoss: 12.22940, loss: 12.22940, batch_cost: 0.39498s, reader_cost: 0.02007, ips: 648.13226 images/sec, eta: 2:53:35 +[2022/05/18 21:07:34] ppcls INFO: [Train][Epoch 1/20][Iter: 580/1347]lr: 0.00345, CELoss: 12.19312, loss: 12.19312, batch_cost: 0.39638s, reader_cost: 0.02121, ips: 645.83821 images/sec, eta: 2:54:08 +[2022/05/18 21:07:38] ppcls INFO: [Train][Epoch 1/20][Iter: 590/1347]lr: 0.00351, CELoss: 12.14995, loss: 12.14995, batch_cost: 0.39655s, reader_cost: 0.02145, ips: 645.56718 images/sec, eta: 2:54:09 +[2022/05/18 21:07:42] ppcls INFO: [Train][Epoch 1/20][Iter: 600/1347]lr: 0.00357, CELoss: 12.11118, loss: 12.11118, batch_cost: 0.39650s, reader_cost: 0.02132, ips: 645.64381 images/sec, eta: 2:54:03 +[2022/05/18 21:07:46] ppcls INFO: [Train][Epoch 1/20][Iter: 610/1347]lr: 0.00363, CELoss: 12.07211, loss: 12.07211, batch_cost: 0.39623s, reader_cost: 0.02121, ips: 646.08138 images/sec, eta: 2:53:52 +[2022/05/18 21:07:50] ppcls INFO: [Train][Epoch 1/20][Iter: 620/1347]lr: 0.00369, CELoss: 12.03240, loss: 12.03240, batch_cost: 0.39613s, reader_cost: 0.02128, ips: 646.24732 images/sec, eta: 2:53:46 +[2022/05/18 21:07:53] ppcls INFO: [Train][Epoch 1/20][Iter: 630/1347]lr: 0.00375, CELoss: 11.99182, loss: 11.99182, batch_cost: 0.39588s, reader_cost: 0.02117, ips: 646.66327 images/sec, eta: 2:53:35 +[2022/05/18 21:07:57] ppcls INFO: [Train][Epoch 1/20][Iter: 640/1347]lr: 0.00381, CELoss: 11.95083, loss: 11.95083, batch_cost: 0.39546s, reader_cost: 0.02088, ips: 647.34186 images/sec, eta: 2:53:20 +[2022/05/18 21:08:01] ppcls INFO: [Train][Epoch 1/20][Iter: 650/1347]lr: 0.00387, CELoss: 11.91216, loss: 11.91216, batch_cost: 0.39522s, reader_cost: 0.02059, ips: 647.73444 images/sec, eta: 2:53:10 +[2022/05/18 21:08:05] ppcls INFO: [Train][Epoch 1/20][Iter: 660/1347]lr: 0.00393, CELoss: 11.87239, loss: 11.87239, batch_cost: 0.39520s, reader_cost: 0.02047, ips: 647.76827 images/sec, eta: 2:53:05 +[2022/05/18 21:08:09] ppcls INFO: [Train][Epoch 1/20][Iter: 670/1347]lr: 0.00399, CELoss: 11.83179, loss: 11.83179, batch_cost: 0.39492s, reader_cost: 0.02019, ips: 648.23915 images/sec, eta: 2:52:54 +[2022/05/18 21:08:12] ppcls INFO: [Train][Epoch 1/20][Iter: 680/1347]lr: 0.00404, CELoss: 11.79083, loss: 11.79083, batch_cost: 0.39454s, reader_cost: 0.01991, ips: 648.85281 images/sec, eta: 2:52:40 +[2022/05/18 21:08:16] ppcls INFO: [Train][Epoch 1/20][Iter: 690/1347]lr: 0.00410, CELoss: 11.75072, loss: 11.75072, batch_cost: 0.39463s, reader_cost: 0.02003, ips: 648.71680 images/sec, eta: 2:52:38 +[2022/05/18 21:08:20] ppcls INFO: [Train][Epoch 1/20][Iter: 700/1347]lr: 0.00416, CELoss: 11.71131, loss: 11.71131, batch_cost: 0.39427s, reader_cost: 0.01979, ips: 649.29578 images/sec, eta: 2:52:25 +[2022/05/18 21:08:24] ppcls INFO: [Train][Epoch 1/20][Iter: 710/1347]lr: 0.00422, CELoss: 11.67276, loss: 11.67276, batch_cost: 0.39428s, reader_cost: 0.01957, ips: 649.29209 images/sec, eta: 2:52:21 +[2022/05/18 21:08:28] ppcls INFO: [Train][Epoch 1/20][Iter: 720/1347]lr: 0.00428, CELoss: 11.63419, loss: 11.63419, batch_cost: 0.39409s, reader_cost: 0.01944, ips: 649.59106 images/sec, eta: 2:52:13 +[2022/05/18 21:08:31] ppcls INFO: [Train][Epoch 1/20][Iter: 730/1347]lr: 0.00434, CELoss: 11.59537, loss: 11.59537, batch_cost: 0.39387s, reader_cost: 0.01926, ips: 649.95909 images/sec, eta: 2:52:03 +[2022/05/18 21:08:35] ppcls INFO: [Train][Epoch 1/20][Iter: 740/1347]lr: 0.00440, CELoss: 11.55359, loss: 11.55359, batch_cost: 0.39363s, reader_cost: 0.01900, ips: 650.35570 images/sec, eta: 2:51:53