---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- wikisql
model-index:
- name: t5-small-finetuned-wikisql
  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. -->

# t5-small-finetuned-wikisql

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the wikisql dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1266
- Rouge2 Precision: 0.817
- Rouge2 Recall: 0.7258
- Rouge2 Fmeasure: 0.7616

## 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: 5e-05
- 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
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
| 0.2018        | 1.0   | 4049  | 0.1603          | 0.7905           | 0.7009        | 0.736           |
| 0.1677        | 2.0   | 8098  | 0.1414          | 0.8061           | 0.7147        | 0.7506          |
| 0.156         | 3.0   | 12147 | 0.1314          | 0.8127           | 0.722         | 0.7576          |
| 0.1469        | 4.0   | 16196 | 0.1280          | 0.8152           | 0.7238        | 0.7597          |
| 0.1433        | 5.0   | 20245 | 0.1266          | 0.817            | 0.7258        | 0.7616          |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2