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Update README.md

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@@ -9,6 +9,7 @@ metrics:
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  model-index:
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  - name: videomae-base-finetuned-Custom_Dataset_Finetune
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  results: []
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # videomae-base-finetuned-Custom_Dataset_Finetune
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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: 0.8060
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  - Accuracy: 0.7586
@@ -62,4 +63,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.44.2
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  - Pytorch 2.4.1+cu121
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  - Datasets 3.0.0
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- - Tokenizers 0.19.1
 
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  model-index:
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  - name: videomae-base-finetuned-Custom_Dataset_Finetune
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  results: []
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+ pipeline_tag: video-classification
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  # videomae-base-finetuned-Custom_Dataset_Finetune
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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 Cricket Shots dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.8060
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  - Accuracy: 0.7586
 
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  - Transformers 4.44.2
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  - Pytorch 2.4.1+cu121
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  - Datasets 3.0.0
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+ - Tokenizers 0.19.1