---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- wikisql
model-index:
- name: EN_mt5-base_5_wikiSQL
  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. -->

# EN_mt5-base_5_wikiSQL

This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the wikisql dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0907
- Rouge2 Precision: 0.8556
- Rouge2 Recall: 0.7785
- Rouge2 Fmeasure: 0.8095

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
| 0.156         | 1.0   | 4049  | 0.1163          | 0.8282           | 0.7534        | 0.7831          |
| 0.1218        | 2.0   | 8098  | 0.1007          | 0.8452           | 0.7679        | 0.7989          |
| 0.1056        | 3.0   | 12147 | 0.0944          | 0.8521           | 0.7749        | 0.8058          |
| 0.0967        | 4.0   | 16196 | 0.0921          | 0.8552           | 0.7784        | 0.8092          |
| 0.0935        | 5.0   | 20245 | 0.0907          | 0.8556           | 0.7785        | 0.8095          |


### Framework versions

- Transformers 4.26.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.7.dev0
- Tokenizers 0.13.3