readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: t5-small-finetuned-en-to-it-lrs
    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-lrs
  
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.1483
  - Bleu: 10.4962
  - Gen Len: 51.8247
  
  ## 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: 32
  - eval_batch_size: 32
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 40
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
  | 1.9618        | 1.0   | 1125  | 2.8717          | 4.6688  | 66.512  |
  | 1.7256        | 2.0   | 2250  | 2.7638          | 6.5673  | 56.7267 |
  | 1.6133        | 3.0   | 3375  | 2.6703          | 7.4218  | 55.1753 |
  | 1.5132        | 4.0   | 4500  | 2.6096          | 7.9581  | 54.5387 |
  | 1.4558        | 5.0   | 5625  | 2.5603          | 8.5191  | 52.41   |
  | 1.4392        | 6.0   | 6750  | 2.5109          | 8.976   | 52.1867 |
  | 1.4113        | 7.0   | 7875  | 2.4768          | 9.2615  | 51.8907 |
  | 1.3669        | 8.0   | 9000  | 2.4447          | 9.3001  | 52.6    |
  | 1.3575        | 9.0   | 10125 | 2.4262          | 9.5818  | 51.774  |
  | 1.3315        | 10.0  | 11250 | 2.3906          | 9.584   | 52.3213 |
  | 1.3231        | 11.0  | 12375 | 2.3740          | 9.7574  | 51.63   |
  | 1.2917        | 12.0  | 13500 | 2.3475          | 9.8298  | 51.6367 |
  | 1.282         | 13.0  | 14625 | 2.3269          | 9.8176  | 52.06   |
  | 1.2841        | 14.0  | 15750 | 2.3121          | 9.9668  | 51.9487 |
  | 1.2548        | 15.0  | 16875 | 2.2993          | 9.9941  | 51.708  |
  | 1.2487        | 16.0  | 18000 | 2.2816          | 10.0288 | 52.364  |
  | 1.2462        | 17.0  | 19125 | 2.2697          | 10.1991 | 51.3893 |
  | 1.232         | 18.0  | 20250 | 2.2581          | 10.2667 | 51.6693 |
  | 1.2227        | 19.0  | 21375 | 2.2428          | 10.3357 | 51.5373 |
  | 1.2279        | 20.0  | 22500 | 2.2350          | 10.3646 | 51.4633 |
  | 1.2159        | 21.0  | 23625 | 2.2275          | 10.3489 | 51.472  |
  | 1.2036        | 22.0  | 24750 | 2.2186          | 10.3756 | 51.444  |
  | 1.2089        | 23.0  | 25875 | 2.2082          | 10.3555 | 51.7133 |
  | 1.1957        | 24.0  | 27000 | 2.2016          | 10.4624 | 51.4293 |
  | 1.1828        | 25.0  | 28125 | 2.1953          | 10.4474 | 51.4287 |
  | 1.1885        | 26.0  | 29250 | 2.1887          | 10.3417 | 51.4227 |
  | 1.1817        | 27.0  | 30375 | 2.1844          | 10.4777 | 51.5787 |
  | 1.1769        | 28.0  | 31500 | 2.1759          | 10.4044 | 51.5907 |
  | 1.1831        | 29.0  | 32625 | 2.1728          | 10.4434 | 51.6587 |
  | 1.1842        | 30.0  | 33750 | 2.1706          | 10.4136 | 51.7653 |
  | 1.1828        | 31.0  | 34875 | 2.1689          | 10.5099 | 51.5893 |
  | 1.1673        | 32.0  | 36000 | 2.1613          | 10.4957 | 51.646  |
  | 1.1603        | 33.0  | 37125 | 2.1570          | 10.4438 | 51.6633 |
  | 1.1718        | 34.0  | 38250 | 2.1564          | 10.5364 | 51.7113 |
  | 1.1651        | 35.0  | 39375 | 2.1538          | 10.4444 | 51.6593 |
  | 1.1756        | 36.0  | 40500 | 2.1501          | 10.4497 | 51.7393 |
  | 1.1595        | 37.0  | 41625 | 2.1499          | 10.4701 | 51.7313 |
  | 1.1603        | 38.0  | 42750 | 2.1499          | 10.4611 | 51.7533 |
  | 1.1586        | 39.0  | 43875 | 2.1487          | 10.4776 | 51.836  |
  | 1.161         | 40.0  | 45000 | 2.1483          | 10.4962 | 51.8247 |
  
  
  ### Framework versions
  
  - Transformers 4.22.1
  - Pytorch 1.12.1
  - Datasets 2.5.1
  - Tokenizers 0.11.0
  