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  ---
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  license: mit
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  base_model: microsoft/deberta-v3-large
 
 
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -19,12 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
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  # deberta-v3-large-imdb-v0.2
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  This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on an unknown dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 0.2233
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- - Accuracy: 0.9653
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- - F1: 0.9654
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- - Precision: 0.9637
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- - Recall: 0.9670
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  ## Model description
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  ---
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  license: mit
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  base_model: microsoft/deberta-v3-large
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+ datasets:
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+ - imdb
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # deberta-v3-large-imdb-v0.2
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  This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on an unknown dataset.
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+ It achieves the following results on the evaluation set @ epoch 9 of 10, which is loaded as the best model here:
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+ - Accuracy: 0.9656
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+ - F1: 0.9657
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+ - Precision: 0.9640
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+ - Recall: 0.9673
 
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  ## Model description
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