readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: bert-base-portuguese-cased-finetuned-acordao_v2
    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. -->
  
  # bert-base-portuguese-cased-finetuned-acordao_v2
  
  This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.9156
  
  ## 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: 64
  - eval_batch_size: 64
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 5
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 0.9871        | 1.0   | 313  | 0.9519          |
  | 0.965         | 2.0   | 626  | 0.9325          |
  | 0.9501        | 3.0   | 939  | 0.9257          |
  | 0.929         | 4.0   | 1252 | 0.9098          |
  | 0.9276        | 5.0   | 1565 | 0.9018          |
  
  
  ### Framework versions
  
  - Transformers 4.19.2
  - Pytorch 1.11.0+cu113
  - Datasets 2.2.2
  - Tokenizers 0.12.1
  