readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - new_dataset
  metrics:
  - sacrebleu
  model-index:
  - name: jwt300_mt-Italian-to-Spanish_transformers
    results:
    - task:
        name: Sequence-to-sequence Language Modeling
        type: text2text-generation
      dataset:
        name: new_dataset
        type: new_dataset
        args: jwt300_mt
      metrics:
      - name: Sacrebleu
        type: sacrebleu
        value: 0.9057
  ---
  
  <!-- 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. -->
  
  # jwt300_mt-Italian-to-Spanish_transformers
  
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the new_dataset dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.4425
  - Sacrebleu: 0.9057
  - Gen Len: 18.1276
  
  ## 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: 64
  - eval_batch_size: 64
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 1
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Sacrebleu | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
  | 2.7545        | 1.0   | 2229 | 2.4425          | 0.9057    | 18.1276 |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - Pytorch 1.11.0
  - Datasets 2.0.0
  - Tokenizers 0.11.6
  