readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: roberta-base-bne-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-finetuned-recores
  
  This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-base-bne](https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.1113
  - Accuracy: 0.4601
  
  ## 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: 5
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 1.5294        | 1.0   | 1047 | 1.4094          | 0.4242   |
  | 0.6886        | 2.0   | 2094 | 2.1629          | 0.4545   |
  | 0.0779        | 3.0   | 3141 | 2.3083          | 0.4545   |
  | 0.0103        | 4.0   | 4188 | 3.0327          | 0.4628   |
  | 0.0019        | 5.0   | 5235 | 3.1113          | 0.4601   |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.10.1+cu102
  - Datasets 2.2.1
  - Tokenizers 0.12.1
  