readme: ---
  language:
  - pt
  license: mit
  tags:
  - generated_from_trainer
  datasets:
  - lener_br
  metrics:
  - precision
  - recall
  - f1
  - accuracy
  model-index:
  - name: xlm-roberta-base-finetuned-lener_br-finetuned-lener-br
    results:
    - task:
        type: token-classification
        name: Token Classification
      dataset:
        name: lener_br
        type: lener_br
        config: lener_br
        split: train
        args: lener_br
      metrics:
      - type: precision
        value: 0.9206349206349206
        name: Precision
      - type: recall
        value: 0.9294391315585423
        name: Recall
      - type: f1
        value: 0.925016077170418
        name: F1
      - type: accuracy
        value: 0.9832504071600401
        name: Accuracy
    - task:
        type: token-classification
        name: Token Classification
      dataset:
        name: lener_br
        type: lener_br
        config: lener_br
        split: validation
      metrics:
      - type: accuracy
        value: 0.9832802904657313
        name: Accuracy
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOTk3YTgzYjU4MTQ4ZDU5ZDY1YjNlZTdjNzM1YTY1OGM0ZTcyNTc2NDA4MzFhYmY0NmQ2MDRiMWU3NTUwM2FlZSIsInZlcnNpb24iOjF9.yCQ8lJoSfokChcGn16603Md8wsFG83E_x8ijn1Fuy3dyFmtaHP8UXSzY1pGrWKUnTKeCcOp7W2MD51gP_WRQCA
      - type: precision
        value: 0.986258771429967
        name: Precision
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMTYyOTRhOTg2NWY0YTc4NjE1YjU2NGU3NmFlMmQyY2E5N2U2ZmU1YmMzYjZkYmEwYjY1YjcxYWQ3ZTVjMmZlYyIsInZlcnNpb24iOjF9.vP_avJP-puSp3lvxI2lbCsPXfH1lKGCLfrT4hshA_LVn8wjOUPrjgHH60NVM0fjXA35PB0aFnE9qCEvwyfzPBw
      - type: recall
        value: 0.9897717432152019
        name: Recall
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODY1OWU0YzM5ZWE5YmYwOTQ5MGU1MTkzZjkxNDhkOTExZDBlNTI1ODUwMzFlOGUxYTQzZjMxMWNkODZhYWNlNCIsInZlcnNpb24iOjF9.QM6enyQUtL91odii7Iqa1Ya6Yc3S1hM-YYkPLqhqRn7chXPXhB58D7-3dLq_se2rRm7led_kwKBaVZhv7aJBDw
      - type: f1
        value: 0.9880121346555324
        name: F1
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOGEyOWQ5NTViNjZiNGFhNmQ3N2Y4ZWIxYmEwYTM4NjZhMGZkYjc3NWNiN2I5M2YwMjcyYzA3OTlmMWU5MDU1NiIsInZlcnNpb24iOjF9.5VArYd9p24-Wkhnn28wQzpBgKlXhF-fvIFJl6sZasr8FzLAp_yAE9kU8wPGhUc0UW9nsu7PBpH14xbhblsmuBg
      - type: loss
        value: 0.1050868034362793
        name: loss
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNWM0MTM2ODlkMjkxMTUyZDg4YmEyNTEzZjIyZWVkMmJhMGJjMmU1N2JmZDQ3Y2M2ZDZiNmYwZTI2ZjY2MDhmYSIsInZlcnNpb24iOjF9.JRkZwkuXovMIjiGlo38D3TPHImTTizTPf7iquVvoy4uWrdAwNympaMkqU78g9Fpky81-XWhCxK1pmrDhKQPTBg
  ---
  
  <!-- 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-finetuned-lener-br
  
  This model is a fine-tuned version of [Luciano/xlm-roberta-base-finetuned-lener_br](https://huggingface.co/Luciano/xlm-roberta-base-finetuned-lener_br) on the lener_br dataset.
  It achieves the following results on the evaluation set:
  - Loss: nan
  - Precision: 0.9206
  - Recall: 0.9294
  - F1: 0.9250
  - Accuracy: 0.9833
  
  ## 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
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
  |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
  | 0.0657        | 1.0   | 1957  | nan             | 0.7780    | 0.8687 | 0.8209 | 0.9718   |
  | 0.0321        | 2.0   | 3914  | nan             | 0.8755    | 0.8708 | 0.8731 | 0.9793   |
  | 0.0274        | 3.0   | 5871  | nan             | 0.8096    | 0.9124 | 0.8579 | 0.9735   |
  | 0.0216        | 4.0   | 7828  | nan             | 0.7913    | 0.8842 | 0.8352 | 0.9718   |
  | 0.0175        | 5.0   | 9785  | nan             | 0.7735    | 0.9248 | 0.8424 | 0.9721   |
  | 0.0117        | 6.0   | 11742 | nan             | 0.9206    | 0.9294 | 0.9250 | 0.9833   |
  | 0.0121        | 7.0   | 13699 | nan             | 0.8988    | 0.9318 | 0.9150 | 0.9819   |
  | 0.0086        | 8.0   | 15656 | nan             | 0.8922    | 0.9175 | 0.9047 | 0.9801   |
  | 0.007         | 9.0   | 17613 | nan             | 0.8482    | 0.8997 | 0.8732 | 0.9769   |
  | 0.0051        | 10.0  | 19570 | nan             | 0.8730    | 0.9274 | 0.8994 | 0.9798   |
  | 0.0045        | 11.0  | 21527 | nan             | 0.9172    | 0.9051 | 0.9111 | 0.9819   |
  | 0.0014        | 12.0  | 23484 | nan             | 0.9138   