---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- wikisql
model-index:
- name: EN_mt5-small_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-small_5_wikiSQL

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the wikisql dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1353
- Rouge2 Precision: 0.8272
- Rouge2 Recall: 0.7504
- Rouge2 Fmeasure: 0.7811

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
| 0.286         | 1.0   | 4049  | 0.1954          | 0.7918           | 0.7112        | 0.7422          |
| 0.2149        | 2.0   | 8098  | 0.1560          | 0.815            | 0.7378        | 0.768           |
| 0.1892        | 3.0   | 12147 | 0.1436          | 0.8229           | 0.7452        | 0.7762          |
| 0.1792        | 4.0   | 16196 | 0.1383          | 0.8261           | 0.7494        | 0.7799          |
| 0.1744        | 5.0   | 20245 | 0.1353          | 0.8272           | 0.7504        | 0.7811          |


### Framework versions

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