---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- wiki_sql
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 wiki_sql dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1246
- Rouge2 Precision: 0.8187
- Rouge2 Recall: 0.7269
- Rouge2 Fmeasure: 0.7629

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
| 0.1952        | 1.0   | 4049  | 0.1567          | 0.7948           | 0.7057        | 0.7406          |
| 0.167         | 2.0   | 8098  | 0.1382          | 0.8092           | 0.7171        | 0.7534          |
| 0.1517        | 3.0   | 12147 | 0.1296          | 0.8145           | 0.7228        | 0.7589          |
| 0.1433        | 4.0   | 16196 | 0.1260          | 0.8175           | 0.7254        | 0.7617          |
| 0.1414        | 5.0   | 20245 | 0.1246          | 0.8187           | 0.7269        | 0.7629          |


### Framework versions

- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Datasets 2.0.0
- Tokenizers 0.11.6