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End of training
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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: 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: 0.5329
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- Accuracy: 0.8
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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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| 1.2256 | 0.12 | 75 | 1.1427 | 0.6143 |
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| 0.6761 | 1.12 | 150 | 0.7566 | 0.6857 |
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| 0.7232 | 2.12 | 225 | 0.7386 | 0.6857 |
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| 0.1706 | 3.12 | 300 | 0.6110 | 0.8429 |
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| 0.0644 | 4.12 | 375 | 0.3533 | 0.8429 |
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| 0.456 | 5.12 | 450 | 0.4699 | 0.8286 |
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| 0.1312 | 6.12 | 525 | 0.5655 | 0.8286 |
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| 0.0827 | 7.12 | 600 | 0.5329 | 0.8 |
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### Framework versions
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model.safetensors
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