readme: ---
  license: apache-2.0
  tags:
  - simplification
  - generated_from_trainer
  metrics:
  - sacrebleu
  model-index:
  - name: flan-t5-base-finetuned-pwkp
    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. -->
  
  # flan-t5-base-finetuned-pwkp
  
  This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.9315
  - Sacrebleu: 41.2105
  
  ## 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: 30
  - eval_batch_size: 30
  - 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 | Sacrebleu |
  |:-------------:|:-----:|:-----:|:---------------:|:---------:|
  | 1.0683        | 1.0   | 3421  | 0.9984          | 40.9399   |
  | 0.9748        | 2.0   | 6842  | 0.9584          | 41.0858   |
  | 0.9279        | 3.0   | 10263 | 0.9433          | 41.1863   |
  | 0.9025        | 4.0   | 13684 | 0.9315          | 41.2105   |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  