---
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: 0.4889
- Rouge2 Precision: 0.5185
- Rouge2 Recall: 0.3505
- Rouge2 Fmeasure: 0.3928

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
| 1.088         | 1.0   | 896  | 0.6020          | 0.4475           | 0.3019        | 0.3347          |
| 0.5369        | 2.0   | 1792 | 0.5312          | 0.4829           | 0.3281        | 0.3649          |
| 0.4423        | 3.0   | 2688 | 0.5050          | 0.5072           | 0.3375        | 0.38            |
| 0.4012        | 4.0   | 3584 | 0.4917          | 0.5136           | 0.3453        | 0.3872          |
| 0.3938        | 5.0   | 4480 | 0.4889          | 0.5185           | 0.3505        | 0.3928          |


### Framework versions

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