readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - opus_books
  metrics:
  - bleu
  model-index:
  - name: my_awesome_opus_books_model
    results:
    - task:
        name: Sequence-to-sequence Language Modeling
        type: text2text-generation
      dataset:
        name: opus_books
        type: opus_books
        config: en-fr
        split: train
        args: en-fr
      metrics:
      - name: Bleu
        type: bleu
        value: 5.9186
  ---
  
  <!-- 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. -->
  
  # my_awesome_opus_books_model
  
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the opus_books dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.5550
  - Bleu: 5.9186
  - Gen Len: 17.5809
  
  ## 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: 16
  - eval_batch_size: 16
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 2
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Bleu   | Gen Len |
  |:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
  | 1.7524        | 1.0   | 6355  | 1.5696          | 5.8485 | 17.5793 |
  | 1.7452        | 2.0   | 12710 | 1.5550          | 5.9186 | 17.5809 |
  
  
  ### Framework versions
  
  - Transformers 4.23.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.5.2
  - Tokenizers 0.13.1
  