---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- wikisql
model-index:
- name: T5Training
  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. -->

# T5Training

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: 0.0341
- Rouge2 Precision: 0.9368
- Rouge2 Recall: 0.8687
- Rouge2 Fmeasure: 0.896

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
| 0.0225        | 1.0   | 4049  | 0.0355          | 0.9325           | 0.8665        | 0.8929          |
| 0.0182        | 2.0   | 8098  | 0.0359          | 0.9364           | 0.8682        | 0.8956          |
| 0.016         | 3.0   | 12147 | 0.0354          | 0.9353           | 0.868         | 0.895           |
| 0.0156        | 4.0   | 16196 | 0.0351          | 0.9366           | 0.8684        | 0.8958          |
| 0.0177        | 5.0   | 20245 | 0.0341          | 0.9368           | 0.8687        | 0.896           |


### Framework versions

- Transformers 4.26.0
- Pytorch 1.13.1+cu117
- Datasets 2.8.0
- Tokenizers 0.13.2