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README.md
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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- F1 Macro: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
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| No log | 0.98 | 26 | 1.
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| No log | 2.0 | 53 | 1.
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| No log | 2.98 | 79 |
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### Framework versions
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8592
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- Accuracy: 0.7194
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- F1 Macro: 0.4819
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
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| No log | 0.98 | 26 | 1.3259 | 0.5175 | 0.1137 |
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| No log | 2.0 | 53 | 1.1130 | 0.6228 | 0.2479 |
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| No log | 2.98 | 79 | 1.0243 | 0.6667 | 0.3126 |
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| 1.2194 | 4.0 | 106 | 0.9297 | 0.7018 | 0.3506 |
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| 1.2194 | 4.98 | 132 | 0.9334 | 0.7018 | 0.3593 |
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| 1.2194 | 6.0 | 159 | 0.8904 | 0.7368 | 0.5001 |
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| 1.2194 | 6.98 | 185 | 0.8714 | 0.7281 | 0.4661 |
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| 0.6526 | 8.0 | 212 | 0.8810 | 0.7368 | 0.4847 |
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| 0.6526 | 8.98 | 238 | 0.8807 | 0.7456 | 0.5552 |
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| 0.6526 | 9.81 | 260 | 0.8945 | 0.7193 | 0.5422 |
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### Framework versions
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