---
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: 0.0703
- Rouge2 Precision: 0.6901
- Rouge2 Recall: 0.4476
- Rouge2 Fmeasure: 0.5124

## 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: 10
- eval_batch_size: 10
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
| 0.0456        | 1.0   | 916  | 0.0626          | 0.5941           | 0.3852        | 0.4383          |
| 0.0277        | 2.0   | 1832 | 0.0629          | 0.6361           | 0.4106        | 0.469           |
| 0.0191        | 3.0   | 2748 | 0.0654          | 0.6731           | 0.4436        | 0.5048          |
| 0.0142        | 4.0   | 3664 | 0.0678          | 0.6767           | 0.4365        | 0.5001          |
| 0.01          | 5.0   | 4580 | 0.0703          | 0.6901           | 0.4476        | 0.5124          |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3