readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: NL-RX-Synth-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. -->
  
  # NL-RX-Synth-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: 0.0131
  - Semantic-accuracy: 0.36
  - Gen Len: 18.24
  
  ## 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 |
  |:-------------:|:-----:|:-----:|:---------------:|:-----------------:|:-------:|
  | 0.2382        | 1.0   | 563   | 0.0431          | 0.322             | 18.224  |
  | 0.0477        | 2.0   | 1126  | 0.0229          | 0.356             | 18.236  |
  | 0.0305        | 3.0   | 1689  | 0.0259          | 0.34              | 18.266  |
  | 0.0231        | 4.0   | 2252  | 0.0204          | 0.35              | 18.238  |
  | 0.0197        | 5.0   | 2815  | 0.0162          | 0.352             | 18.232  |
  | 0.02          | 6.0   | 3378  | 0.0162          | 0.354             | 18.238  |
  | 0.0172        | 7.0   | 3941  | 0.0147          | 0.356             | 18.24   |
  | 0.0145        | 8.0   | 4504  | 0.0259          | 0.34              | 18.246  |
  | 0.0133        | 9.0   | 5067  | 0.0129          | 0.358             | 18.238  |
  | 0.0131        | 10.0  | 5630  | 0.0121          | 0.366             | 18.242  |
  | 0.0122        | 11.0  | 6193  | 0.0128          | 0.354             | 18.242  |
  | 0.0123        | 12.0  | 6756  | 0.0129          | 0.356             | 18.222  |
  | 0.0113        | 13.0  | 7319  | 0.0131          | 0.362             | 18.232  |
  | 0.0095        | 14.0  | 7882  | 0.0124          | 0.358             | 18.238  |
  | 0.0102        | 15.0  | 8445  | 0.0127          | 0.362             | 18.244  |
  | 0.0089        | 16.0  | 9008  | 0.0126          | 0.358             | 18.242  |
  | 0.0086        | 17.0  | 9571  | 0.0133          | 0.358             | 18.242  |
  | 0.0084        | 17.76 | 10000 | 0.0131          | 0.36              | 18.24   |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  