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Update train_model.py

master
SaiYiKi 2019-07-23 23:15:57 +08:00 committed by GitHub
parent c7fb82cc1e
commit 6d78afc333
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1 changed files with 2 additions and 2 deletions
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utils/train_model.py
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@ -132,11 +132,11 @@ def train(Config,
print('step: {:d} / {:d} global_step: {:8.2f} train_epoch: {:04d} rec_train_loss: {:6.4f}'.format(step, train_epoch_step, 1.0*step/train_epoch_step, epoch, train_loss_recorder.get_val()), flush=True)
print('current lr:%s' % exp_lr_scheduler.get_lr(), flush=True)
if eval_train_flag:
trainval_acc1, trainval_acc2, trainval_acc3 = eval_turn(model, data_loader['trainval'], 'trainval', epoch, log_file)
trainval_acc1, trainval_acc2, trainval_acc3 = eval_turn(Config, model, data_loader['trainval'], 'trainval', epoch, log_file)
if abs(trainval_acc1 - trainval_acc3) < 0.01:
eval_train_flag = False
val_acc1, val_acc2, val_acc3 = eval_turn(model, data_loader['val'], 'val', epoch, log_file)
val_acc1, val_acc2, val_acc3 = eval_turn(Config, model, data_loader['val'], 'val', epoch, log_file)
save_path = os.path.join(save_dir, 'weights_%d_%d_%.4f_%.4f.pth'%(epoch, batch_cnt, val_acc1, val_acc3))
torch.cuda.synchronize()