---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- wikisql
model-index:
- name: t5-small-finetuned-wikisql-with-cols
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# t5-small-finetuned-wikisql-with-cols

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the wikisql dataset using a (slightly modified) training script by [Manuel Romero](https://huggingface.co/mrm8488).
It achieves the following results on the evaluation set:
- Loss: 0.0282
- Rouge2 Precision: 0.9172
- Rouge2 Recall: 0.819
- Rouge2 Fmeasure: 0.8578

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
| 0.0557        | 1.0   | 4049  | 0.0384          | 0.9004           | 0.8038        | 0.8417          |
| 0.0438        | 2.0   | 8098  | 0.0323          | 0.9101           | 0.8121        | 0.8507          |
| 0.0374        | 3.0   | 12147 | 0.0298          | 0.914            | 0.8162        | 0.8548          |
| 0.0353        | 4.0   | 16196 | 0.0286          | 0.9169           | 0.8189        | 0.8576          |
| 0.0343        | 5.0   | 20245 | 0.0282          | 0.9172           | 0.819         | 0.8578          |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2