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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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model-index:
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- name: xlm-roberta-base-finetuned-lener_br
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results: []
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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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should probably proofread and complete it, then remove this comment. -->
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# xlm-roberta-base-finetuned-lener_br
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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: 0.9094
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 15
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 1.545 | 1.0 | 2079 | 1.4107 |
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| 1.4708 | 2.0 | 4158 | 1.3126 |
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| 1.322 | 3.0 | 6237 | 1.1943 |
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| 1.1986 | 4.0 | 8316 | 1.1581 |
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| 1.1316 | 5.0 | 10395 | 1.1156 |
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| 1.0824 | 6.0 | 12474 | 1.0400 |
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| 1.0435 | 7.0 | 14553 | 1.0276 |
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| 0.9824 | 8.0 | 16632 | 1.0119 |
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| 0.9289 | 9.0 | 18711 | nan |
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| 0.9123 | 10.0 | 20790 | 0.9945 |
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| 0.8591 | 11.0 | 22869 | nan |
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| 0.8411 | 12.0 | 24948 | 0.9413 |
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| 0.8376 | 13.0 | 27027 | 0.9411 |
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| 0.7868 | 14.0 | 29106 | 0.9228 |
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| 0.8012 | 15.0 | 31185 | 0.9449 |
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### Framework versions
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- Transformers 4.23.1
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- Pytorch 1.12.1+cu113
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- Datasets 2.6.1
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- Tokenizers 0.13.1
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