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update model card README.md

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@@ -14,10 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # videomae-base-finetuned-ucf101-subset
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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: 0.2742
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- - Accuracy: 0.9
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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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- | 1.8073 | 0.25 | 75 | 1.3999 | 0.6857 |
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- | 0.9688 | 1.25 | 150 | 0.6959 | 0.7286 |
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- | 0.266 | 2.25 | 225 | 0.4545 | 0.7714 |
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- | 0.2419 | 3.25 | 300 | 0.2742 | 0.9 |
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  ### Framework versions
 
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  # videomae-base-finetuned-ucf101-subset
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+ This model is a fine-tuned version of [sayakpaul/videomae-base-finetuned-kinetics-finetuned-ucf101-subset](https://huggingface.co/sayakpaul/videomae-base-finetuned-kinetics-finetuned-ucf101-subset) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0024
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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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+ | 0.0171 | 0.25 | 75 | 0.0063 | 1.0 |
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+ | 0.0391 | 1.25 | 150 | 0.0048 | 1.0 |
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+ | 0.0019 | 2.25 | 225 | 0.0032 | 1.0 |
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+ | 0.1704 | 3.25 | 300 | 0.0024 | 1.0 |
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  ### Framework versions