transformers pytorch t5 text2text-generation generated_from_trainer base_model:t5-small license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
model-index:
- name: model
  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. -->

# model

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: 0.1818
- Edit Distance: 13.598

## 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: 18
- eval_batch_size: 18
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 18

### Training results

| Training Loss | Epoch | Step | Validation Loss | Edit Distance |
|:-------------:|:-----:|:----:|:---------------:|:-------------:|
| 0.7351        | 1.0   | 500  | 0.2832          | 13.844        |
| 0.3224        | 2.0   | 1000 | 0.2401          | 13.85         |
| 0.2788        | 3.0   | 1500 | 0.2285          | 13.795        |
| 0.2595        | 4.0   | 2000 | 0.2179          | 13.805        |
| 0.2469        | 5.0   | 2500 | 0.2066          | 13.687        |
| 0.233         | 6.0   | 3000 | 0.1912          | 13.67         |
| 0.219         | 7.0   | 3500 | 0.1874          | 13.658        |
| 0.2135        | 8.0   | 4000 | 0.1895          | 13.65         |
| 0.2101        | 9.0   | 4500 | 0.1883          | 13.643        |
| 0.2074        | 10.0  | 5000 | 0.1836          | 13.643        |
| 0.2057        | 11.0  | 5500 | 0.1825          | 13.649        |
| 0.2042        | 12.0  | 6000 | 0.1834          | 13.614        |
| 0.2034        | 13.0  | 6500 | 0.1828          | 13.623        |
| 0.2017        | 14.0  | 7000 | 0.1820          | 13.653        |
| 0.2017        | 15.0  | 7500 | 0.1824          | 13.634        |
| 0.2004        | 16.0  | 8000 | 0.1822          | 13.641        |
| 0.2006        | 17.0  | 8500 | 0.1817          | 13.62         |
| 0.2005        | 18.0  | 9000 | 0.1818          | 13.598        |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
