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update model card README.md

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@@ -14,13 +14,13 @@ 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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- - eval_loss: 0.8924
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- - eval_accuracy: 0.7355
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- - eval_runtime: 165.2959
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- - eval_samples_per_second: 0.938
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- - eval_steps_per_second: 0.121
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- - epoch: 1.26
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- - step: 76
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  ## Model description
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@@ -40,13 +40,13 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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- - train_batch_size: 8
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- - eval_batch_size: 8
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.1
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- - training_steps: 148
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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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+ - eval_loss: 0.0008
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+ - eval_accuracy: 1.0
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+ - eval_runtime: 223.5865
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+ - eval_samples_per_second: 0.443
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+ - eval_steps_per_second: 0.076
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+ - epoch: 1.01
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+ - step: 43
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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+ - train_batch_size: 6
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+ - eval_batch_size: 6
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.1
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+ - training_steps: 164
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  ### Framework versions
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