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:
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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: 0.4062
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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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| 3.8603 | 0.06 | 59 | 3.7147 | 0.025 |
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| 3.7747 | 1.06 | 118 | 3.6984 | 0.05 |
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| 3.83 | 2.06 | 177 | 3.5418 | 0.075 |
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| 3.5065 | 3.06 | 236 | 3.3917 | 0.075 |
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| 3.6541 | 4.06 | 295 | 3.3558 | 0.1 |
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| 3.5419 | 5.06 | 354 | 3.2460 | 0.15 |
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| 3.2664 | 6.06 | 413 | 3.0603 | 0.2 |
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| 3.2295 | 7.06 | 472 | 2.7967 | 0.425 |
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| 2.829 | 8.06 | 531 | 2.3743 | 0.625 |
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| 2.5769 | 9.06 | 590 | 1.9349 | 0.675 |
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| 2.0383 | 10.06 | 649 | 1.3413 | 0.875 |
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| 1.8328 | 11.06 | 708 | 0.9239 | 0.925 |
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| 1.0447 | 12.06 | 767 | 0.6702 | 0.975 |
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| 0.8312 | 13.06 | 826 | 0.5127 | 1.0 |
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| 0.7203 | 14.06 | 885 | 0.4366 | 1.0 |
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| 0.6204 | 15.06 | 944 | 0.4062 | 1.0 |
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### Framework versions
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pytorch_model.bin
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