---
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: 0.1271
- Rouge2 Precision: 0.8165
- Rouge2 Recall: 0.7252
- Rouge2 Fmeasure: 0.761

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
| 0.2002        | 1.0   | 4049  | 0.1609          | 0.7909           | 0.7013        | 0.7363          |
| 0.1681        | 2.0   | 8098  | 0.1407          | 0.8055           | 0.7143        | 0.7501          |
| 0.155         | 3.0   | 12147 | 0.1325          | 0.8119           | 0.7209        | 0.7566          |
| 0.1498        | 4.0   | 16196 | 0.1285          | 0.8156           | 0.7246        | 0.7604          |
| 0.145         | 5.0   | 20245 | 0.1271          | 0.8165           | 0.7252        | 0.761           |


### Framework versions

- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.2