readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: Redex-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. -->
  
  # Redex-t5-small-finetuned-en-to-regex
  
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0813
  - Semantic-accuracy: 0.916
  - Gen Len: 10.476
  
  ## 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: 0.001
  - 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
  - training_steps: 10000
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Semantic-accuracy | Gen Len |
  |:-------------:|:-----:|:-----:|:---------------:|:-----------------:|:-------:|
  | 0.2376        | 1.0   | 563   | 0.0826          | 0.918             | 10.478  |
  | 0.0817        | 2.0   | 1126  | 0.0691          | 0.92              | 10.506  |
  | 0.0693        | 3.0   | 1689  | 0.0703          | 0.916             | 10.442  |
  | 0.0625        | 4.0   | 2252  | 0.0720          | 0.916             | 10.506  |
  | 0.0577        | 5.0   | 2815  | 0.0697          | 0.922             | 10.486  |
  | 0.0544        | 6.0   | 3378  | 0.0711          | 0.908             | 10.458  |
  | 0.0514        | 7.0   | 3941  | 0.0745          | 0.924             | 10.5    |
  | 0.0481        | 8.0   | 4504  | 0.0765          | 0.91              | 10.462  |
  | 0.0467        | 9.0   | 5067  | 0.0758          | 0.916             | 10.456  |
  | 0.0451        | 10.0  | 5630  | 0.0741          | 0.924             | 10.48   |
  | 0.0428        | 11.0  | 6193  | 0.0769          | 0.914             | 10.496  |
  | 0.0432        | 12.0  | 6756  | 0.0779          | 0.912             | 10.446  |
  | 0.0423        | 13.0  | 7319  | 0.0799          | 0.918             | 10.502  |
  | 0.042         | 14.0  | 7882  | 0.0801          | 0.914             | 10.494  |
  | 0.0405        | 15.0  | 8445  | 0.0769          | 0.914             | 10.476  |
  | 0.0387        | 16.0  | 9008  | 0.0793          | 0.916             | 10.476  |
  | 0.0383        | 17.0  | 9571  | 0.0818          | 0.916             | 10.474  |
  | 0.0376        | 17.76 | 10000 | 0.0813          | 0.916             | 10.476  |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  