mirror of
https://github.com/open-mmlab/mmclassification.git
synced 2025-06-03 21:53:55 +08:00
5a86288f1f
* add mytrain.py for test * test before layers * test attr in layers * test classifier * delete mytrain.py * add mobilenet_v3.yml * fix ymal * rename model_zoo.yml to model-index.yml * replace imagenet with imagenet-1k
31 lines
874 B
YAML
31 lines
874 B
YAML
Collections:
|
|
- Name: FP16
|
|
Metadata:
|
|
Training Data: ImageNet-1k
|
|
Training Techniques:
|
|
- SGD with Momentum
|
|
- Weight Decay
|
|
- Mixed Precision Training
|
|
Training Resources: 8x V100 GPUs
|
|
Paper: https://arxiv.org/abs/1710.03740
|
|
README: configs/fp16/README.md
|
|
|
|
Models:
|
|
- Name: resnet50_b32x8_fp16_dynamic_imagenet
|
|
Metadata:
|
|
FLOPs: 4120000000
|
|
Parameters: 25560000
|
|
Epochs: 100
|
|
Batch Size: 256
|
|
Architecture:
|
|
- ResNet
|
|
In Collection: FP16
|
|
Results:
|
|
- Task: Image Classification
|
|
Dataset: ImageNet-1k
|
|
Metrics:
|
|
Top 1 Accuracy: 76.32
|
|
Top 5 Accuracy: 93.04
|
|
Weights: https://download.openmmlab.com/mmclassification/v0/fp16/resnet50_batch256_fp16_imagenet_20210320-b3964210.pth
|
|
Config: configs/fp16/resnet50_b32x8_fp16_dynamic_imagenet.py
|