readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: t5-small-finetuned-en-to-regex
    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-regex
  
  This model is a fine-tuned version of [rymaju/t5-small-finetuned-en-to-regex](https://huggingface.co/rymaju/t5-small-finetuned-en-to-regex) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0032
  - Bleu: 12.1984
  - Gen Len: 16.7502
  
  ## 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 |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
  | 0.0092        | 1.0   | 6188  | 0.0043          | 12.1984 | 16.7522 |
  | 0.0069        | 2.0   | 12376 | 0.0040          | 12.2039 | 16.7502 |
  | 0.0056        | 3.0   | 18564 | 0.0034          | 12.2091 | 16.7483 |
  | 0.0048        | 4.0   | 24752 | 0.0035          | 12.2103 | 16.7502 |
  | 0.0049        | 5.0   | 30940 | 0.0035          | 12.1984 | 16.7502 |
  | 0.0046        | 6.0   | 37128 | 0.0033          | 12.1984 | 16.7502 |
  | 0.0046        | 7.0   | 43316 | 0.0035          | 12.1984 | 16.7502 |
  | 0.0046        | 8.0   | 49504 | 0.0032          | 12.1984 | 16.7502 |
  | 0.0042        | 9.0   | 55692 | 0.0032          | 12.1984 | 16.7502 |
  | 0.0043        | 10.0  | 61880 | 0.0032          | 12.1984 | 16.7502 |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  