---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-small-finetuned-sql3
  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-sql3

This model is a fine-tuned version of [FYP19/t5-small-finetuned-wikisql](https://huggingface.co/FYP19/t5-small-finetuned-wikisql) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1327
- Rouge2 Precision: 0.5324
- Rouge2 Recall: 0.3365
- Rouge2 Fmeasure: 0.3854

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
| No log        | 1.0   | 438  | 0.1740          | 0.4579           | 0.2878        | 0.3286          |
| 0.29          | 2.0   | 876  | 0.1478          | 0.5047           | 0.3177        | 0.3643          |
| 0.1503        | 3.0   | 1314 | 0.1381          | 0.5218           | 0.3263        | 0.3754          |
| 0.1271        | 4.0   | 1752 | 0.1343          | 0.5151           | 0.3299        | 0.3749          |
| 0.1153        | 5.0   | 2190 | 0.1327          | 0.5324           | 0.3365        | 0.3854          |


### Framework versions

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