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README.md
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metrics:
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- name: F1
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type: f1
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value: 0.
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the xtreme 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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| 0.
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### Framework versions
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- Transformers 4.16.2
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- Pytorch 2.
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- Datasets 1.16.1
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- Tokenizers 0.19.1
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metrics:
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- name: F1
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type: f1
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value: 0.8615279672578444
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the xtreme dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1367
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- F1: 0.8615
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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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| 0.2571 | 1.0 | 525 | 0.1688 | 0.8107 |
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| 0.1305 | 2.0 | 1050 | 0.1406 | 0.8526 |
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| 0.0812 | 3.0 | 1575 | 0.1367 | 0.8615 |
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### Framework versions
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- Transformers 4.16.2
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- Pytorch 2.1.2
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- Datasets 1.16.1
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- Tokenizers 0.19.1
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