readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: roberta-base-bne-sqac-finetuned-recores
    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. -->
  
  # roberta-base-bne-sqac-finetuned-recores
  
  This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-base-bne-sqac](https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne-sqac) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.4624
  - Accuracy: 0.3691
  
  ## 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: 1e-05
  - train_batch_size: 1
  - eval_batch_size: 1
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 4
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 1.5643        | 1.0   | 1047 | 1.5474          | 0.3526   |
  | 0.8147        | 2.0   | 2094 | 2.6498          | 0.3719   |
  | 0.1618        | 3.0   | 3141 | 3.1061          | 0.3719   |
  | 0.0135        | 4.0   | 4188 | 3.4624          | 0.3691   |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.10.1+cu102
  - Datasets 2.2.1
  - Tokenizers 0.12.1
  