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update model card README.md
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README.md
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---
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license: mit
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tags:
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- generated_from_trainer
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metrics:
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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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- F1: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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### Framework versions
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- Transformers 4.
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- Pytorch 1.
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- Datasets 2.
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- Tokenizers 0.13.3
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---
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license: mit
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base_model: xlm-roberta-base
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tags:
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- generated_from_trainer
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metrics:
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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: 0.1751
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- F1: 0.8548
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 0.2993 | 1.0 | 835 | 0.1903 | 0.8195 |
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| 0.1587 | 2.0 | 1670 | 0.1767 | 0.8384 |
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| 0.1017 | 3.0 | 2505 | 0.1751 | 0.8548 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 1.13.1.post200
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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