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README.md
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metric:
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name: Accuracy
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type: accuracy
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value: 0.
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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.
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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.
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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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| 63 |
| 1.0442 | 1.0 | 250 | 0.9883 | 0.674 |
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| 64 |
| 0.9227 | 2.0 | 500 | 0.9782 | 0.673 |
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| 65 |
+
| 0.7591 | 3.0 | 750 | 1.0230 | 0.665 |
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| 66 |
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### Framework versions
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