update model card README.md
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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 hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-
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- train_batch_size: 12
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- eval_batch_size: 12
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 0.
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| 0.
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| 0.
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| 0.
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### Framework versions
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metrics:
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- name: F1
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type: f1
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value: 0.8674876567731684
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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: 0.1571
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- F1: 0.8675
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 12
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- eval_batch_size: 12
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 0.2502 | 1.0 | 1049 | 0.1760 | 0.8255 |
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| 0.1379 | 2.0 | 2098 | 0.1540 | 0.8413 |
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| 0.0897 | 3.0 | 3147 | 0.1487 | 0.8602 |
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| 0.0549 | 4.0 | 4196 | 0.1571 | 0.8675 |
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### Framework versions
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