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Model save

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  1. README.md +4 -4
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@@ -17,7 +17,7 @@ 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: 2.8320
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  - Accuracy: 0.2
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  ## Model description
@@ -50,9 +50,9 @@ 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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- | 3.4164 | 0.33 | 20 | 2.9580 | 0.1 |
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- | 3.1344 | 1.33 | 40 | 2.8666 | 0.2 |
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- | 2.7856 | 2.33 | 60 | 2.8320 | 0.2 |
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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: 2.9093
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  - Accuracy: 0.2
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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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+ | 3.4345 | 0.33 | 20 | 2.9824 | 0.05 |
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+ | 3.3011 | 1.33 | 40 | 2.9158 | 0.15 |
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+ | 3.0027 | 2.33 | 60 | 2.9093 | 0.2 |
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  ### Framework versions