readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - precision
  - recall
  - f1
  model-index:
  - name: DisTEMIST_fine_tuned_sentence
    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. -->
  
  # DisTEMIST_fine_tuned_sentence
  
  This model is a fine-tuned version of [PlanTL-GOB-ES/bsc-bio-es](https://huggingface.co/PlanTL-GOB-ES/bsc-bio-es) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.2164
  - Precision: 0.6069
  - Recall: 0.6401
  - F1: 0.6231
  
  ## 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=2.6e-09
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 73
  - num_epochs: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     |
  |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|
  | 0.1166        | 1.0   | 1099  | 0.1152          | 0.5214    | 0.6433 | 0.5760 |
  | 0.0718        | 2.0   | 2198  | 0.1096          | 0.6015    | 0.6297 | 0.6153 |
  | 0.0438        | 3.0   | 3297  | 0.1517          | 0.6573    | 0.5895 | 0.6215 |
  | 0.0293        | 4.0   | 4396  | 0.1496          | 0.6212    | 0.6198 | 0.6205 |
  | 0.0179        | 5.0   | 5495  | 0.1665          | 0.5670    | 0.6505 | 0.6059 |
  | 0.0119        | 6.0   | 6594  | 0.1602          | 0.6035    | 0.6379 | 0.6202 |
  | 0.0078        | 7.0   | 7693  | 0.1844          | 0.6008    | 0.6347 | 0.6173 |
  | 0.0041        | 8.0   | 8792  | 0.2019          | 0.6006    | 0.6288 | 0.6144 |
  | 0.0026        | 9.0   | 9891  | 0.2075          | 0.6015    | 0.6270 | 0.6140 |
  | 0.0014        | 10.0  | 10990 | 0.2164          | 0.6069    | 0.6401 | 0.6231 |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  