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@@ -20,20 +20,6 @@ It achieves the following results on the evaluation set:
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  - Loss: 0.2283
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  - Accuracy: 0.9615
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- ## Model description
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- More information needed
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- ## Intended uses & limitations
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- More information needed
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- ## Training and evaluation data
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- More information needed
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- ## Training procedure
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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  | 0.0188 | 4.0 | 2500 | 0.2283 | 0.9615 |
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- ### Framework versions
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- - Transformers 4.42.4
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- - Pytorch 2.4.0+cu121
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- - Datasets 2.21.0
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- - Tokenizers 0.19.1
 
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  - Loss: 0.2283
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  - Accuracy: 0.9615
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
 
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  | 0.0188 | 4.0 | 2500 | 0.2283 | 0.9615 |
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