---
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: 0.0581
- Rouge2 Precision: 0.6546
- Rouge2 Recall: 0.4183
- Rouge2 Fmeasure: 0.4794

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
| 0.0446        | 1.0   | 5250  | 0.0595          | 0.5997           | 0.3824        | 0.4385          |
| 0.0301        | 2.0   | 10500 | 0.0573          | 0.6439           | 0.4169        | 0.476           |
| 0.0256        | 3.0   | 15750 | 0.0564          | 0.642            | 0.4093        | 0.4695          |
| 0.0222        | 4.0   | 21000 | 0.0581          | 0.6487           | 0.4165        | 0.4769          |
| 0.0218        | 5.0   | 26250 | 0.0581          | 0.6546           | 0.4183        | 0.4794          |


### Framework versions

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