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update model card README.md
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README.md
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/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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- Precision: 0.9800
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- Recall: 0.
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- F1: 0.
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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### Framework versions
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- Transformers 4.28.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.
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- Tokenizers 0.13.3
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/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: 0.0743
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- Precision: 0.9800
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- Recall: 0.9811
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- F1: 0.9806
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- Accuracy: 0.9817
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| 0.157 | 1.0 | 1583 | 0.1170 | 0.9616 | 0.9641 | 0.9629 | 0.9671 |
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| 0.0982 | 2.0 | 3166 | 0.0823 | 0.9740 | 0.9745 | 0.9743 | 0.9766 |
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| 0.0666 | 3.0 | 4749 | 0.0778 | 0.9767 | 0.9771 | 0.9769 | 0.9786 |
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| 0.0528 | 4.0 | 6332 | 0.0712 | 0.9793 | 0.9800 | 0.9796 | 0.9810 |
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| 0.0446 | 5.0 | 7915 | 0.0743 | 0.9800 | 0.9811 | 0.9806 | 0.9817 |
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### Framework versions
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- Transformers 4.28.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.13.1
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- Tokenizers 0.13.3
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