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update model card README.md

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@@ -21,7 +21,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.9095477386934674
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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
@@ -31,8 +31,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the movie_rationales dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2524
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- - Accuracy: 0.9095
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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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- | No log | 1.0 | 100 | 0.3640 | 0.8543 |
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- | No log | 2.0 | 200 | 0.2524 | 0.9095 |
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  ### Framework versions
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.8844221105527639
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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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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the movie_rationales dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2762
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+ - Accuracy: 0.8844
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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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+ | No log | 1.0 | 100 | 0.4182 | 0.8040 |
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+ | No log | 2.0 | 200 | 0.2762 | 0.8844 |
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  ### Framework versions