resnet50
Best Validation Accuracy: 0.9050
Metadata
- Model Name:
resnet50 - Optimizer:
adamw - Scheduler:
cosine - Weight Decay:
0.0005 - Warmup Epochs:
3 - Patience:
7 - Amp:
True - Seed:
42 - Batch Size:
32 - Initial Lr:
0.0005 - Total Epochs Ran:
14 - Early Stopped:
True - Training Time Seconds:
33306.75762796402 - Num Parameters:
22067009 - Device:
NVIDIA A100-SXM4-40GB - Run Id:
resnet-tuned
Training Configuration
- Epochs:
14 - Batch size:
32 - Learning rate (initial):
0.0005
Training Logs (Per Epoch)
| Epoch | Train Loss | Train Acc | Val Loss | Val Acc | LR |
|---|---|---|---|---|---|
| 1 | 0.2662 | 0.8921 | 0.2935 | 0.8786 | 0.000167 |
| 2 | 0.2245 | 0.9125 | 0.3381 | 0.8763 | 0.000333 |
| 3 | 0.2090 | 0.9196 | 0.4355 | 0.8174 | 0.000500 |
| 4 | 0.1841 | 0.9304 | 0.3426 | 0.8751 | 0.000500 |
| 5 | 0.1678 | 0.9376 | 0.3754 | 0.8611 | 0.000499 |
| 6 | 0.1554 | 0.9430 | 0.4509 | 0.8415 | 0.000495 |
| 7 | 0.1447 | 0.9468 | 0.2905 | 0.9050 | 0.000488 |
| 8 | 0.1373 | 0.9502 | 0.4505 | 0.8444 | 0.000478 |
| 9 | 0.1297 | 0.9539 | 0.4726 | 0.8473 | 0.000467 |
| 10 | 0.1224 | 0.9569 | 0.3371 | 0.8867 | 0.000452 |
| 11 | 0.1167 | 0.9583 | 0.3782 | 0.8741 | 0.000436 |
| 12 | 0.1115 | 0.9604 | 0.4738 | 0.8645 | 0.000417 |
| 13 | 0.1052 | 0.9626 | 0.3477 | 0.8896 | 0.000397 |
| 14 | 0.0998 | 0.9647 | 0.4067 | 0.8845 | 0.000375 |