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use resnet50 to train a cifar10 classifier

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deng
2023-12-30 00:03:36 +08:00
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dvclive/train/report.md Normal file
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# DVC Report
params.yaml
| data_dir | epochs | batch_size | learning_rate | epoch |
|----------------|----------|--------------|-----------------|---------|
| data/processed | 5 | 256 | 5e-05 | 4 |
metrics.json
| train_loss | train_acc | valid_loss | valid_acc | step |
|--------------|-------------|--------------|-------------|--------|
| 2.24226 | 0.734708 | 2.31843 | 0.73815 | 4 |
![static/valid_loss](static/valid_loss.png)
![static/train_acc](static/train_acc.png)
![static/valid_acc](static/valid_acc.png)
![static/train_loss](static/train_loss.png)