readme: ---
  language:
  - pt
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: xlm-roberta-base-finetuned-lener_br
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
  should probably proofread and complete it, then remove this comment. -->
  
  # xlm-roberta-base-finetuned-lener_br
  
  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.9094
  
  ## Model description
  
  More information needed
  
  ## Intended uses & limitations
  
  More information needed
  
  ## Training and evaluation data
  
  More information needed
  
  ## Training procedure
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  - learning_rate: 2e-05
  - train_batch_size: 4
  - eval_batch_size: 4
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 15
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 1.545         | 1.0   | 2079  | 1.4107          |
  | 1.4708        | 2.0   | 4158  | 1.3126          |
  | 1.322         | 3.0   | 6237  | 1.1943          |
  | 1.1986        | 4.0   | 8316  | 1.1581          |
  | 1.1316        | 5.0   | 10395 | 1.1156          |
  | 1.0824        | 6.0   | 12474 | 1.0400          |
  | 1.0435        | 7.0   | 14553 | 1.0276          |
  | 0.9824        | 8.0   | 16632 | 1.0119          |
  | 0.9289        | 9.0   | 18711 | nan             |
  | 0.9123        | 10.0  | 20790 | 0.9945          |
  | 0.8591        | 11.0  | 22869 | nan             |
  | 0.8411        | 12.0  | 24948 | 0.9413          |
  | 0.8376        | 13.0  | 27027 | 0.9411          |
  | 0.7868        | 14.0  | 29106 | 0.9228          |
  | 0.8012        | 15.0  | 31185 | 0.9449          |
  
  
  ### Framework versions
  
  - Transformers 4.23.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  