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yehiawp4/vivit-b-16x2-collected-dataset
vivit-b-16x2-collected-dataset is a video classification model from yehiawp4. Use it for the video classification task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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.safetensors355 MB · 100%
From the Hugging Face model README
This model is a fine-tuned version of google/vivit-b-16x2-kinetics400 on an unknown dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1001 | 0.1 | 1403 | 0.8989 | 0.7789 |
| 0.2646 | 1.1 | 2806 | 0.5655 | 0.8857 |
| 0.0785 | 2.1 | 4209 | 0.4806 | 0.9053 |
| 0.0001 | 3.1 | 5612 | 0.3706 | 0.9398 |
| 0.054 | 4.1 | 7015 | 0.4007 | 0.9368 |
| 0.0003 | 5.1 | 8418 | 0.2354 | 0.9669 |
| 0.0001 | 6.1 | 9821 | 0.3900 | 0.9474 |
| 0.0003 | 7.1 | 11224 | 0.2667 | 0.9579 |
| 0.0001 | 8.1 | 12627 | 0.2436 | 0.9654 |
| 0.0 | 9.1 | 14020 | 0.2432 | 0.9654 |