---
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: 0.1196
- Rouge2 Precision: 0.6028
- Rouge2 Recall: 0.386
- Rouge2 Fmeasure: 0.4419

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
| 0.1554        | 1.0   | 1313 | 0.1346          | 0.5174           | 0.3275        | 0.373           |
| 0.0965        | 2.0   | 2626 | 0.1237          | 0.5887           | 0.3811        | 0.4349          |
| 0.0843        | 3.0   | 3939 | 0.1203          | 0.5985           | 0.3831        | 0.4387          |
| 0.0745        | 4.0   | 5252 | 0.1200          | 0.5999           | 0.3865        | 0.4417          |
| 0.0718        | 5.0   | 6565 | 0.1196          | 0.6028           | 0.386         | 0.4419          |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3