readme: ---
  license: cc-by-4.0
  tags:
  - generated_from_trainer
  model-index:
  - name: CTEBMSP_ner_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. -->
  
  # CTEBMSP_ner_test
  
  This model is a fine-tuned version of [chizhikchi/Spanish_disease_finder](https://huggingface.co/chizhikchi/Spanish_disease_finder) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0560
  - Diso Precision: 0.8925
  - Diso Recall: 0.8945
  - Diso F1: 0.8935
  - Diso Number: 2645
  - Overall Precision: 0.8925
  - Overall Recall: 0.8945
  - Overall F1: 0.8935
  - Overall Accuracy: 0.9899
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:--------------:|:-----------:|:-------:|:-----------:|:-----------------:|:--------------:|:----------:|:----------------:|
  | 0.04          | 1.0   | 1570 | 0.0439          | 0.8410         | 0.8858      | 0.8628  | 2645        | 0.8410            | 0.8858         | 0.8628     | 0.9877           |
  | 0.0173        | 2.0   | 3140 | 0.0487          | 0.8728         | 0.8843      | 0.8785  | 2645        | 0.8728            | 0.8843         | 0.8785     | 0.9885           |
  | 0.0071        | 3.0   | 4710 | 0.0496          | 0.8911         | 0.8945      | 0.8928  | 2645        | 0.8911            | 0.8945         | 0.8928     | 0.9898           |
  | 0.0025        | 4.0   | 6280 | 0.0560          | 0.8925         | 0.8945      | 0.8935  | 2645        | 0.8925            | 0.8945         | 0.8935     | 0.9899           |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  