readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: t5-small-finetuned-la-to-en
    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-la-to-en
  
  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: 2.2297
  - Bleu: 5.8915
  - Gen Len: 16.2252
  
  ## 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: 10
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Bleu   | Gen Len |
  |:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
  | 3.0883        | 1.0   | 4384  | 2.7499          | 2.8172 | 16.4068 |
  | 2.8854        | 2.0   | 8768  | 2.5664          | 3.8141 | 16.4581 |
  | 2.746         | 3.0   | 13152 | 2.4524          | 4.3903 | 16.3977 |
  | 2.6617        | 4.0   | 17536 | 2.3761          | 4.7858 | 16.3473 |
  | 2.6185        | 5.0   | 21920 | 2.3205          | 5.2502 | 16.3161 |
  | 2.573         | 6.0   | 26304 | 2.2763          | 5.4374 | 16.2916 |
  | 2.5285        | 7.0   | 30688 | 2.2489          | 5.628  | 16.2875 |
  | 2.4944        | 8.0   | 35072 | 2.2276          | 5.7201 | 16.291  |
  | 2.4749        | 9.0   | 39456 | 2.2164          | 5.8387 | 16.2795 |
  | 2.4741        | 10.0  | 43840 | 2.2129          | 5.8654 | 16.2789 |
  
  
  ### Framework versions
  
  - Transformers 4.20.0
  - Pytorch 1.11.0+cu113
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  