readme: ---
  language:
  - en
  - it
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - ccmatrix
  model-index:
  - name: t5-small-finetuned-en-to-it
    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. -->
  
  # t5-small-finetuned-en-to-it
  
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the ccmatrix dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.0188
  
  ## 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: 15
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 2.5524        | 1.0   | 750   | 2.2315          |
  | 2.4839        | 2.0   | 1500  | 2.1932          |
  | 2.4654        | 3.0   | 2250  | 2.1637          |
  | 2.4001        | 4.0   | 3000  | 2.1352          |
  | 2.3966        | 5.0   | 3750  | 2.1122          |
  | 2.3537        | 6.0   | 4500  | 2.0921          |
  | 2.3427        | 7.0   | 5250  | 2.0746          |
  | 2.316         | 8.0   | 6000  | 2.0614          |
  | 2.301         | 9.0   | 6750  | 2.0488          |
  | 2.2813        | 10.0  | 7500  | 2.0403          |
  | 2.2691        | 11.0  | 8250  | 2.0325          |
  | 2.2561        | 12.0  | 9000  | 2.0265          |
  | 2.258         | 13.0  | 9750  | 2.0217          |
  | 2.2447        | 14.0  | 10500 | 2.0199          |
  | 2.2432        | 15.0  | 11250 | 2.0188          |
  
  
  ### Framework versions
  
  - Transformers 4.22.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.5.1
  - Tokenizers 0.12.1
  