readme: ---
  license: apache-2.0
  tags:
  - simplification
  - generated_from_trainer
  metrics:
  - rouge
  - sari
  model-index:
  - name: flan-t5-large-clara-med
    results: []
  datasets:
  - lcampillos/CLARA-MeD
  language:
  - es
  ---
  
  <!-- 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. -->
  
  # flan-t5-large-clara-med
  
  This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the [CLARA-MeD](https://huggingface.co/lcampillos/CLARA-MeD) dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.0898
  - Rouge1: 28.9888
  - Rouge2: 16.3801
  - Rougel: 27.4186
  - Rougelsum: 27.4043
  - sari: 39.1731
  
  ## 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: 5.6e-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: 5
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
  | No log        | 1.0   | 380  | 1.1948          | 28.2861 | 15.6461 | 26.7126 | 26.7389   |
  | No log        | 2.0   | 760  | 1.1361          | 28.3528 | 15.8519 | 26.8151 | 26.8069   |
  | 1.3561        | 3.0   | 1140 | 1.1051          | 29.6216 | 16.8227 | 28.0662 | 28.0613   |
  | 1.3561        | 4.0   | 1520 | 1.0915          | 29.3603 | 16.5008 | 27.7915 | 27.7761   |
  | 1.0939        | 5.0   | 1900 | 1.0898          | 28.9888 | 16.3801 | 27.4186 | 27.4043   |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0
  - Datasets 2.8.0
  - Tokenizers 0.12.1