YAML Metadata
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resnet50
Best Validation Accuracy: 0.8733
Metadata
- Model Name:
resnet50 - Optimizer:
adamw - Scheduler:
cosine - Weight Decay:
0.05 - Warmup Epochs:
3 - Patience:
5 - Amp:
True - Seed:
42 - Batch Size:
32 - Initial Lr:
7.5e-05 - Total Epochs Ran:
1 - Early Stopped:
False - Training Time Seconds:
2375.9705023765564 - Num Parameters:
22067009 - Device:
NVIDIA A100-SXM4-40GB - Run Id:
resnet-test
Training Configuration
- Epochs:
1 - Batch size:
32 - Learning rate (initial):
7.5e-05
Training Logs (Per Epoch)
| Epoch | Train Loss | Train Acc | Val Loss | Val Acc | LR |
|---|---|---|---|---|---|
| 1 | 0.2911 | 0.8787 | 0.3048 | 0.8733 | 0.000025 |
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