Model save
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README.md
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This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 1.0
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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### Framework versions
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This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3217
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- Accuracy: 1.0
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 3.9388 | 0.06 | 61 | 3.6928 | 0.0244 |
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| 3.922 | 1.06 | 122 | 3.7470 | 0.0244 |
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| 3.8564 | 2.06 | 183 | 3.5744 | 0.0488 |
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| 3.8 | 3.06 | 244 | 3.4795 | 0.0732 |
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| 3.6299 | 4.06 | 305 | 3.4226 | 0.0732 |
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| 3.7411 | 5.06 | 366 | 3.3728 | 0.0732 |
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| 3.4738 | 6.06 | 427 | 3.2456 | 0.0732 |
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| 3.3784 | 7.06 | 488 | 2.8674 | 0.5610 |
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| 2.9917 | 8.06 | 549 | 2.2194 | 0.7073 |
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| 2.1432 | 9.06 | 610 | 1.4439 | 0.8780 |
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| 1.377 | 10.06 | 671 | 1.0637 | 0.9512 |
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| 1.1721 | 11.06 | 732 | 0.7384 | 0.9512 |
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| 0.8749 | 12.06 | 793 | 0.4955 | 1.0 |
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| 0.4729 | 13.06 | 854 | 0.3995 | 1.0 |
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| 0.4317 | 14.06 | 915 | 0.3367 | 1.0 |
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| 0.3025 | 15.05 | 960 | 0.3217 | 1.0 |
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### Framework versions
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pytorch_model.bin
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