readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: bert-base-squad-v2-portuguese
    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-squad-v2-portuguese
  
  This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.5445
  
  ## 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: 3e-05
  - train_batch_size: 20
  - eval_batch_size: 20
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 7
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 2.3221        | 1.0   | 654  | 1.5568          |
  | 1.4383        | 2.0   | 1308 | 1.5087          |
  | 1.1511        | 3.0   | 1962 | 1.6465          |
  | 0.5951        | 4.0   | 2616 | 1.7428          |
  | 0.4432        | 5.0   | 3270 | 2.1401          |
  | 0.3554        | 6.0   | 3924 | 2.3629          |
  | 0.2195        | 7.0   | 4578 | 2.5445          |
  
  
  ### Framework versions
  
  - Transformers 4.21.1
  - Pytorch 1.12.0+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  