End of training
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README.md
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This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-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: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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### Framework versions
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This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3960
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- Accuracy: 0.8843
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- F1: 0.8845
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
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| 0.4685 | 1.0 | 1407 | 0.3630 | 0.8416 | 0.8371 |
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| 0.3354 | 2.0 | 2814 | 0.3028 | 0.8692 | 0.8708 |
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| 0.2853 | 3.0 | 4221 | 0.2972 | 0.8797 | 0.8803 |
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| 0.2456 | 4.0 | 5628 | 0.2981 | 0.8816 | 0.8822 |
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| 0.2166 | 5.0 | 7035 | 0.3029 | 0.8816 | 0.8824 |
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| 0.1854 | 6.0 | 8442 | 0.3522 | 0.8842 | 0.8848 |
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| 0.1618 | 7.0 | 9849 | 0.3546 | 0.8853 | 0.8856 |
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| 0.1447 | 8.0 | 11256 | 0.3729 | 0.8844 | 0.8847 |
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| 0.1343 | 9.0 | 12663 | 0.3904 | 0.8836 | 0.8838 |
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| 0.1283 | 10.0 | 14070 | 0.3960 | 0.8843 | 0.8845 |
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### Framework versions
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model.safetensors
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