readme: ---
  license: cc-by-4.0
  tags:
  - generated_from_trainer
  model-index:
  - name: DISO_SINAI_test1
    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. -->
  
  # DISO_SINAI_test1
  
  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: 0.0807
  - Diso Precision: 0.8260
  - Diso Recall: 0.8247
  - Diso F1: 0.8253
  - Diso Number: 4552
  - Overall Precision: 0.8260
  - Overall Recall: 0.8247
  - Overall F1: 0.8253
  - Overall Accuracy: 0.9815
  
  ## 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 | Diso Precision | Diso Recall | Diso F1 | Diso Number | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
  |:-------------:|:-----:|:-----:|:---------------:|:--------------:|:-----------:|:-------:|:-----------:|:-----------------:|:--------------:|:----------:|:----------------:|
  | 0.0629        | 1.0   | 2799  | 0.0573          | 0.8315         | 0.8014      | 0.8162  | 4552        | 0.8315            | 0.8014         | 0.8162     | 0.9813           |
  | 0.0429        | 2.0   | 5598  | 0.0622          | 0.8228         | 0.8264      | 0.8246  | 4552        | 0.8228            | 0.8264         | 0.8246     | 0.9815           |
  | 0.0299        | 3.0   | 8397  | 0.0689          | 0.8217         | 0.8251      | 0.8234  | 4552        | 0.8217            | 0.8251         | 0.8234     | 0.9814           |
  | 0.0214        | 4.0   | 11196 | 0.0807          | 0.8260         | 0.8247      | 0.8253  | 4552        | 0.8260            | 0.8247         | 0.8253     | 0.9815           |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  