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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:
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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: 1.0411
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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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| 3.9695 | 0.06 | 59 | 3.6889 | 0.05 |
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| 3.898 | 1.06 | 118 | 3.6205 | 0.05 |
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| 3.6781 | 2.06 | 177 | 3.4775 | 0.075 |
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| 3.4169 | 3.06 | 236 | 3.3709 | 0.075 |
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| 3.6405 | 4.06 | 295 | 3.3190 | 0.075 |
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| 3.5568 | 5.06 | 354 | 3.3243 | 0.075 |
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| 3.3347 | 6.06 | 413 | 3.2671 | 0.175 |
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| 3.3946 | 7.06 | 472 | 3.2436 | 0.15 |
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| 3.2943 | 8.06 | 531 | 3.2095 | 0.25 |
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| 3.4037 | 9.06 | 590 | 3.1415 | 0.35 |
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| 3.3753 | 10.06 | 649 | 2.9745 | 0.7 |
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| 3.2246 | 11.06 | 708 | 2.5009 | 0.65 |
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| 2.4989 | 12.06 | 767 | 1.8618 | 0.8 |
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| 1.905 | 13.06 | 826 | 1.4972 | 0.9 |
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| 1.7084 | 14.06 | 885 | 1.1309 | 1.0 |
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| 1.2838 | 15.06 | 944 | 1.0411 | 1.0 |
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### Framework versions
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pytorch_model.bin
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