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Siccimo/videomae-base-finetuned-v2
videomae-base-finetuned-v2 is a video classification model from Siccimo. 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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.safetensors345 MB · 100%
From the Hugging Face model README
This model is a fine-tuned version of MCG-NJU/videomae-base 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 |
|---|---|---|---|---|
| 0.6414 | 0.1346 | 14 | 0.9173 | 0.4545 |
| 0.6093 | 1.1346 | 28 | 0.6265 | 0.6364 |
| 0.5066 | 2.1346 | 42 | 0.5984 | 0.6364 |
| 0.3898 | 3.1346 | 56 | 0.4570 | 0.8 |
| 0.4321 | 4.1346 | 70 | 0.6020 | 0.7091 |
| 0.2806 | 5.1346 | 84 | 0.4016 | 0.8364 |
| 0.1498 | 6.1346 | 98 | 0.4253 | 0.8727 |
| 0.2482 | 7.0577 | 104 | 0.4269 | 0.8727 |