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README.md
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This model is a fine-tuned version of [urduhack/roberta-urdu-small](https://huggingface.co/urduhack/roberta-urdu-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8892
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- Accuracy: 0.
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## Model description
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@@ -56,10 +56,10 @@ The following hyperparameters were used during training:
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| 1.3852 | 4.0 | 244 | 1.4876 | 0.7951 |
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| 0.9489 | 5.0 | 305 | 1.2456 | 0.8197 |
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| 0.8545 | 6.0 | 366 | 1.0769 | 0.8402 |
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| 0.654 | 7.0 | 427 | 0.9819 | 0.
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| 0.5234 | 8.0 | 488 | 0.9370 | 0.
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| 0.4693 | 9.0 | 549 | 0.8987 | 0.
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| 0.4175 | 10.0 | 610 | 0.8892 | 0.
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### Framework versions
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This model is a fine-tuned version of [urduhack/roberta-urdu-small](https://huggingface.co/urduhack/roberta-urdu-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8892
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- Accuracy: 0.9345
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## Model description
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| 56 |
| 1.3852 | 4.0 | 244 | 1.4876 | 0.7951 |
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| 57 |
| 0.9489 | 5.0 | 305 | 1.2456 | 0.8197 |
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| 58 |
| 0.8545 | 6.0 | 366 | 1.0769 | 0.8402 |
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| 0.654 | 7.0 | 427 | 0.9819 | 0.8904 |
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| 0.5234 | 8.0 | 488 | 0.9370 | 0.9022 |
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| 0.4693 | 9.0 | 549 | 0.8987 | 0.9245 |
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| 62 |
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| 0.4175 | 10.0 | 610 | 0.8892 | 0.9345 |
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| 63 |
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| 64 |
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### Framework versions
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