---
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