---
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: 0.1245
- Rouge2 Precision: 0.8183
- Rouge2 Recall: 0.7262
- Rouge2 Fmeasure: 0.7624

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
| 0.1954        | 1.0   | 4049  | 0.1575          | 0.7934           | 0.7033        | 0.7386          |
| 0.1643        | 2.0   | 8098  | 0.1374          | 0.8083           | 0.7169        | 0.7528          |
| 0.1517        | 3.0   | 12147 | 0.1296          | 0.8135           | 0.7222        | 0.7581          |
| 0.1459        | 4.0   | 16196 | 0.1256          | 0.817            | 0.7254        | 0.7614          |
| 0.1414        | 5.0   | 20245 | 0.1245          | 0.8183           | 0.7262        | 0.7624          |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.0
- Tokenizers 0.13.2