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sumit7488/TimesFormerRefineOnHMDB51
TimesFormerRefineOnHMDB51 is a video classification model from sumit7488. Use it for the video classification task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
This model is a fine-tuned version of TimeSformer (Time-Space Transformer) for video action recognition, trained on the HMDB51 dataset.
Downloads Β· 30 days
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From the Hugging Face model README
This model is a fine-tuned version of TimeSformer (Time-Space Transformer) for video action recognition, trained on the HMDB51 dataset.
This model learns spatial and temporal features from video frames using transformer-based attention mechanisms.
torch.cuda.amp)| Epoch | Train Loss | Train Accuracy | Val Loss | Val Accuracy |
|---|---|---|---|---|
| 1 | 3.9314 | 0.0323 | 3.7800 | 0.1248 |
| 2 | 3.5892 | 0.1976 | 3.2530 | 0.4353 |
| 3 | 3.0235 | 0.4354 | 2.6567 | 0.5340 |
| 4 | 2.5720 | 0.5246 | 2.2347 | 0.6033 |
| 5 | 2.2836 | 0.6009 | 2.0135 | 0.6327 |
| 6 | 2.0897 | 0.6419 | 1.8659 | 0.6536 |
| 7 | 1.9678 | 0.6807 | 1.8017 | 0.6667 |
| 8 | 1.8847 | 0.7030 | 1.7705 | 0.6627 |
| 9 | 1.8213 | 0.7237 | 1.7355 | 0.6627 |
| 10 | 1.7576 | 0.7414 | 1.7340 | 0.6680 |
| 11 | 1.7098 | 0.7549 | 1.7234 | 0.6765 |
HMDB51 is a widely used human action recognition dataset:
pip install torch torchvision transformers