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TanAlexanderlz/2_SD2022_RGBCROP_Aug-4B32F
2_SD2022_RGBCROP_Aug-4B32F is a video classification model from TanAlexanderlz. 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 cc-by-nc-4.0.
should probably proofread and complete it, then remove this comment. --
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From the Hugging Face model README
This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-kinetics 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 |
|---|---|---|---|---|
| 0.1733 | 0.1 | 255 | 0.4479 | 0.8 |
| 0.0001 | 1.1 | 510 | 0.2078 | 0.9583 |
| 0.0 | 2.1 | 765 | 0.9836 | 0.825 |
| 0.0 | 3.1 | 1020 | 0.1493 | 0.975 |
| 0.0 | 4.1 | 1275 | 0.2478 | 0.95 |
| 0.0 | 5.1 | 1530 | 0.2425 | 0.95 |
| 0.0 | 6.1 | 1785 | 0.2444 | 0.95 |