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dino-vits16-val07415-vit-tuned
pcam-interpretability/dino-vits16-val07415-vit-tuned
dino-vits16-val07415-vit-tuned is a machine learning model from pcam-interpretability. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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Updated Apr 28, 2025
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86.8 MB
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At a glance
- Access
- Public
- Created
- Apr 28, 2025
- Updated
- Apr 28, 2025
- SHA
- 5f2b5043
Model card
From the Hugging Face model README
dino-vits16
Best Validation Accuracy: 0.7415
Metadata
- Model Name:
dino-vits16 - Optimizer:
adamw - Scheduler:
cosine - Weight Decay:
0.001 - Warmup Epochs:
3 - Patience:
10 - Amp:
True - Seed:
42 - Batch Size:
352 - Initial Lr:
0.0012 - Total Epochs Ran:
12 - Early Stopped:
True - Training Time Seconds:
7287.24094581604 - Num Parameters:
21666049 - Device:
NVIDIA A100-SXM4-40GB - Run Id:
vit-tuned
Training Configuration
- Epochs:
12 - Batch size:
352 - Learning rate (initial):
0.0012
Training Logs (Per Epoch)
| Epoch | Train Loss | Train Acc | Val Loss | Val Acc | LR |
|---|---|---|---|---|---|
| 1 | 0.6663 | 0.6782 | 0.5234 | 0.7309 | 0.000400 |
| 2 | 0.5246 | 0.7383 | 0.5054 | 0.7415 | 0.000800 |
| 3 | nan | 0.7173 | 0.6398 | 0.6699 | 0.001200 |
| 4 | nan | 0.5349 | nan | 0.5005 | 0.001200 |
| 5 | nan | 0.5000 | nan | 0.5005 | 0.001199 |
| 6 | nan | 0.5000 | nan | 0.5005 | 0.001195 |
| 7 | nan | 0.5000 | nan | 0.5005 | 0.001189 |
| 8 | nan | 0.5000 | nan | 0.5005 | 0.001181 |
| 9 | nan | 0.5000 | nan | 0.5005 | 0.001171 |
| 10 | nan | 0.5000 | nan | 0.5005 | 0.001158 |
| 11 | nan | 0.5000 | nan | 0.5005 | 0.001143 |
| 12 | nan | 0.5000 | nan | 0.5005 | 0.001126 |
- Created
- Apr 28, 2025
- Updated
- Apr 28, 2025