readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: roberta-base-biomedical-clinical-es-finetuned-ner
    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-biomedical-clinical-es-finetuned-ner
  
  This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-base-biomedical-clinical-es](https://huggingface.co/PlanTL-GOB-ES/roberta-base-biomedical-clinical-es) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.1382
  
  ## 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: 4
  - eval_batch_size: 4
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 14
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 0.3315        | 1.0   | 12   | 0.3878          |
  | 0.2419        | 2.0   | 24   | 0.2655          |
  | 0.175         | 3.0   | 36   | 0.1888          |
  | 0.1441        | 4.0   | 48   | 0.1808          |
  | 0.1111        | 5.0   | 60   | 0.1544          |
  | 0.1064        | 6.0   | 72   | 0.1506          |
  | 0.0962        | 7.0   | 84   | 0.1396          |
  | 0.1367        | 8.0   | 96   | 0.1403          |
  | 0.0303        | 9.0   | 108  | 0.1415          |
  | 0.0741        | 10.0  | 120  | 0.1355          |
  | 0.0554        | 11.0  | 132  | 0.1355          |
  | 0.0542        | 12.0  | 144  | 0.1360          |
  | 0.0292        | 13.0  | 156  | 0.1369          |
  | 0.0188        | 14.0  | 168  | 0.1382          |
  
  
  ### Framework versions
  
  - Transformers 4.21.2
  - Pytorch 1.12.1+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  