---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- wikisql
model-index:
- name: t5-base-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-base-finetuned-wikisql

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the wikisql dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0329
- Rouge2 Precision: 0.9361
- Rouge2 Recall: 0.8679
- Rouge2 Fmeasure: 0.8953

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
| 0.0548        | 1.0   | 4049  | 0.0417          | 0.9235           | 0.8587        | 0.8844          |
| 0.0415        | 2.0   | 8098  | 0.0359          | 0.9322           | 0.8645        | 0.8917          |
| 0.0332        | 3.0   | 12147 | 0.0340          | 0.9344           | 0.8667        | 0.8939          |
| 0.029         | 4.0   | 16196 | 0.0329          | 0.9354           | 0.8676        | 0.8948          |
| 0.0263        | 5.0   | 20245 | 0.0329          | 0.9361           | 0.8679        | 0.8953          |


### Framework versions

- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2