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dino-vits16
Best Validation Accuracy: 0.8398
Metadata
- Model Name:
dino-vits16 - Optimizer:
adamw - Scheduler:
cosine - Weight Decay:
0.001 - Warmup Epochs:
5 - Patience:
10 - Amp:
True - Seed:
42 - Batch Size:
352 - Initial Lr:
0.001 - Total Epochs Ran:
38 - Early Stopped:
True - Training Time Seconds:
22297.275145292282 - Num Parameters:
21666049 - Device:
NVIDIA A100-SXM4-40GB - Run Id:
vit-tuned-safe
Training Configuration
- Epochs:
38 - Batch size:
352 - Learning rate (initial):
0.001
Training Logs (Per Epoch)
| Epoch | Train Loss | Train Acc | Val Loss | Val Acc | LR |
|---|---|---|---|---|---|
| 1 | 0.6211 | 0.7119 | 0.4845 | 0.7484 | 0.000200 |
| 2 | 0.4682 | 0.7774 | 0.5087 | 0.7466 | 0.000400 |
| 3 | 0.4455 | 0.7918 | 0.4857 | 0.7465 | 0.000600 |
| 4 | 0.4391 | 0.7945 | 0.4634 | 0.7683 | 0.000800 |
| 5 | 0.4309 | 0.7989 | 0.4192 | 0.7904 | 0.001000 |
| 6 | 0.4169 | 0.8078 | 0.4200 | 0.7889 | 0.001000 |
| 7 | 0.3996 | 0.8167 | 0.3879 | 0.8149 | 0.000999 |
| 8 | 0.3911 | 0.8222 | 0.4468 | 0.7795 | 0.000996 |
| 9 | 0.3830 | 0.8264 | 0.3944 | 0.8103 | 0.000991 |
| 10 | 0.3759 | 0.8305 | 0.4086 | 0.7977 | 0.000984 |
| 11 | 0.3678 | 0.8353 | 0.4321 | 0.7857 | 0.000976 |
| 12 | 0.3621 | 0.8377 | 0.4163 | 0.8022 | 0.000965 |
| 13 | 0.3574 | 0.8411 | 0.3871 | 0.8170 | 0.000952 |
| 14 | 0.3543 | 0.8418 | 0.5018 | 0.7661 | 0.000938 |
| 15 | 0.3490 | 0.8453 | 0.4141 | 0.8099 | 0.000922 |
| 16 | 0.3412 | 0.8499 | 0.3623 | 0.8295 | 0.000905 |
| 17 | 0.3336 | 0.8534 | 0.4005 | 0.8193 | 0.000885 |
| 18 | 0.3565 | 0.8418 | 0.3622 | 0.8311 | 0.000864 |
| 19 | 0.3494 | 0.8447 | 0.3668 | 0.8304 | 0.000842 |
| 20 | 0.3359 | 0.8521 | 0.4189 | 0.8000 | 0.000819 |
| 21 | 0.3355 | 0.8519 | 0.3609 | 0.8314 | 0.000794 |
| 22 | 0.3280 | 0.8566 | 0.3757 | 0.8241 | 0.000768 |
| 23 | 0.3203 | 0.8606 | 0.3917 | 0.8174 | 0.000741 |
| 24 | 0.3278 | 0.8571 | 0.3974 | 0.8180 | 0.000713 |
| 25 | 0.3109 | 0.8649 | 0.3669 | 0.8310 | 0.000684 |
| 26 | 0.3129 | 0.8649 | 0.3511 | 0.8390 | 0.000655 |
| 27 | 0.3080 | 0.8667 | 0.3574 | 0.8373 | 0.000624 |
| 28 | 0.3050 | 0.8686 | 0.3584 | 0.8398 | 0.000594 |
| 29 | nan | 0.8688 | nan | 0.8383 | 0.000563 |
| 30 | nan | 0.6657 | nan | 0.5005 | 0.000531 |
| 31 | nan | 0.5000 | nan | 0.5005 | 0.000500 |
| 32 | nan | 0.5000 | nan | 0.5005 | 0.000469 |
| 33 | nan | 0.5000 | nan | 0.5005 | 0.000437 |
| 34 | nan | 0.5000 | nan | 0.5005 | 0.000406 |
| 35 | nan | 0.5000 | nan | 0.5005 | 0.000376 |
| 36 | nan | 0.5000 | nan | 0.5005 | 0.000345 |
| 37 | nan | 0.5000 | nan | 0.5005 | 0.000316 |
| 38 | nan | 0.5000 | nan | 0.5005 | 0.000287 |
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