readme: ---
  license: cc-by-4.0
  tags:
  - generated_from_trainer
  model-index:
  - name: CTEBMSP_ner_test2
    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. -->
  
  # CTEBMSP_ner_test2
  
  This model is a fine-tuned version of [chizhikchi/Spanish_disease_finder](https://huggingface.co/chizhikchi/Spanish_disease_finder) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0586
  - Diso Precision: 0.8836
  - Diso Recall: 0.8902
  - Diso F1: 0.8869
  - Diso Number: 4052
  - Overall Precision: 0.8836
  - Overall Recall: 0.8902
  - Overall F1: 0.8869
  - Overall Accuracy: 0.9885
  
  ## 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: 4e-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 | Diso Precision | Diso Recall | Diso F1 | Diso Number | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
  |:-------------:|:-----:|:-----:|:---------------:|:--------------:|:-----------:|:-------:|:-----------:|:-----------------:|:--------------:|:----------:|:----------------:|
  | 0.0463        | 1.0   | 2566  | 0.0512          | 0.8791         | 0.8384      | 0.8583  | 4052        | 0.8791            | 0.8384         | 0.8583     | 0.9859           |
  | 0.0204        | 2.0   | 5132  | 0.0615          | 0.8942         | 0.8655      | 0.8796  | 4052        | 0.8942            | 0.8655         | 0.8796     | 0.9875           |
  | 0.0095        | 3.0   | 7698  | 0.0545          | 0.8877         | 0.8776      | 0.8826  | 4052        | 0.8877            | 0.8776         | 0.8826     | 0.9881           |
  | 0.0045        | 4.0   | 10264 | 0.0586          | 0.8836         | 0.8902      | 0.8869  | 4052        | 0.8836            | 0.8902         | 0.8869     | 0.9885           |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  