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update model card README.md

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@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.2620
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- - Accuracy: 0.9161
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  ## Model description
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@@ -50,11 +50,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 1.7238 | 0.2 | 300 | 2.0762 | 0.2286 |
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- | 1.7966 | 1.2 | 600 | 1.0165 | 0.6571 |
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- | 0.4519 | 2.2 | 900 | 0.9176 | 0.7857 |
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- | 1.8337 | 3.2 | 1200 | 0.9078 | 0.8 |
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- | 0.006 | 4.2 | 1500 | 0.3824 | 0.9 |
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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: 0.4130
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+ - Accuracy: 0.9355
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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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+ | 1.2382 | 0.2 | 300 | 1.3142 | 0.7571 |
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+ | 0.2355 | 1.2 | 600 | 0.6507 | 0.8143 |
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+ | 0.0014 | 2.2 | 900 | 0.9133 | 0.8 |
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+ | 0.001 | 3.2 | 1200 | 0.4452 | 0.9143 |
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+ | 0.0012 | 4.2 | 1500 | 0.3323 | 0.9429 |
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  ### Framework versions