readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - precision
  - recall
  - f1
  - accuracy
  model-index:
  - name: nubes_test
    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. -->
  
  # nubes_test
  
  This model is a fine-tuned version of [PlanTL-GOB-ES/bsc-bio-ehr-es](https://huggingface.co/PlanTL-GOB-ES/bsc-bio-ehr-es) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.1333
  - Precision: 0.8783
  - Recall: 0.9154
  - F1: 0.8965
  - Accuracy: 0.9717
  
  ## 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: 8
  - eval_batch_size: 8
  - 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 | Precision | Recall | F1     | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
  | 0.1266        | 1.0   | 1726 | 0.1112          | 0.8348    | 0.8856 | 0.8594 | 0.9676   |
  | 0.0731        | 2.0   | 3452 | 0.1175          | 0.8766    | 0.9008 | 0.8885 | 0.9716   |
  | 0.0443        | 3.0   | 5178 | 0.1218          | 0.8829    | 0.9076 | 0.8951 | 0.9717   |
  | 0.0289        | 4.0   | 6904 | 0.1333          | 0.8783    | 0.9154 | 0.8965 | 0.9717   |
  
  
  ### Framework versions
  
  - Transformers 4.26.0
  - Pytorch 1.13.1+cu116
  - Datasets 2.9.0
  - Tokenizers 0.13.2
  