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update model card README.md

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@@ -16,8 +16,8 @@ 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: 0.2158
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- - Accuracy: 0.9571
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  ## Model description
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@@ -49,10 +49,10 @@ 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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- | 2.028 | 0.25 | 300 | 1.3646 | 0.5 |
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- | 2.8219 | 1.25 | 600 | 1.0026 | 0.5857 |
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- | 0.071 | 2.25 | 900 | 0.4162 | 0.8857 |
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- | 1.1058 | 3.25 | 1200 | 0.2158 | 0.9571 |
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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: 0.2091
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+ - Accuracy: 0.9429
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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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+ | 1.3834 | 0.25 | 300 | 1.1783 | 0.5714 |
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+ | 2.5838 | 1.25 | 600 | 1.3998 | 0.6 |
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+ | 0.0371 | 2.25 | 900 | 0.9554 | 0.8 |
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+ | 0.9005 | 3.25 | 1200 | 0.2091 | 0.9429 |
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  ### Framework versions