readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: Redex-NL-RX-Synth-t5-small-finetuned-en-to-regex-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-NL-RX-Synth-t5-small-finetuned-en-to-regex-finetuned-en-to-regex
  
  This model is a fine-tuned version of [rymaju/NL-RX-Synth-t5-small-finetuned-en-to-regex](https://huggingface.co/rymaju/NL-RX-Synth-t5-small-finetuned-en-to-regex) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0811
  - Semantic-accuracy: 0.912
  - Gen Len: 10.71
  
  ## 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 |
  |:-------------:|:-----:|:-----:|:---------------:|:-----------------:|:-------:|
  | 0.1767        | 1.0   | 563   | 0.0710          | 0.916             | 10.766  |
  | 0.0798        | 2.0   | 1126  | 0.0700          | 0.922             | 10.746  |
  | 0.0677        | 3.0   | 1689  | 0.0711          | 0.92              | 10.732  |
  | 0.0602        | 4.0   | 2252  | 0.0635          | 0.92              | 10.722  |
  | 0.0552        | 5.0   | 2815  | 0.0693          | 0.932             | 10.75   |
  | 0.05          | 6.0   | 3378  | 0.0746          | 0.922             | 10.778  |
  | 0.0486        | 7.0   | 3941  | 0.0743          | 0.914             | 10.726  |
  | 0.0462        | 8.0   | 4504  | 0.0712          | 0.902             | 10.772  |
  | 0.0435        | 9.0   | 5067  | 0.0710          | 0.92              | 10.724  |
  | 0.0442        | 10.0  | 5630  | 0.0799          | 0.896             | 10.69   |
  | 0.043         | 11.0  | 6193  | 0.0754          | 0.914             | 10.72   |
  | 0.0412        | 12.0  | 6756  | 0.0728          | 0.91              | 10.706  |
  | 0.0395        | 13.0  | 7319  | 0.0755          | 0.914             | 10.71   |
  | 0.0397        | 14.0  | 7882  | 0.0799          | 0.91              | 10.7    |
  | 0.0389        | 15.0  | 8445  | 0.0778          | 0.908             | 10.684  |
  | 0.0379        | 16.0  | 9008  | 0.0801          | 0.914             | 10.7    |
  | 0.0369        | 17.0  | 9571  | 0.0806          | 0.912             | 10.708  |
  | 0.0364        | 17.76 | 10000 | 0.0811          | 0.912             | 10.71   |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  