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Update README.md

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@@ -19,7 +19,7 @@ model_index:
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  metric:
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  name: Accuracy
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  type: accuracy
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- value: 0.663
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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
@@ -30,7 +30,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the tamilmixsentiment dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.0230
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- - Accuracy: 0.663
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  ## Dataset Information
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  - text: Tamil-English code-mixed comment.
@@ -62,7 +62,7 @@ The following hyperparameters were used during training:
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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  | 1.0442 | 1.0 | 250 | 0.9883 | 0.674 |
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  | 0.9227 | 2.0 | 500 | 0.9782 | 0.673 |
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- | 0.7591 | 3.0 | 750 | 1.0230 | 0.653 |
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  ### Framework versions
 
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  metric:
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  name: Accuracy
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  type: accuracy
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+ value: 0.665
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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-cased](https://huggingface.co/distilbert-base-cased) on the tamilmixsentiment dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.0230
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+ - Accuracy: 0.665
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  ## Dataset Information
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  - text: Tamil-English code-mixed comment.
 
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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  | 1.0442 | 1.0 | 250 | 0.9883 | 0.674 |
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  | 0.9227 | 2.0 | 500 | 0.9782 | 0.673 |
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+ | 0.7591 | 3.0 | 750 | 1.0230 | 0.665 |
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  ### Framework versions