---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- wikisql
model-index:
- name: EN_t5-small_10_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_t5-small_10_wikiSQL

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the wikisql dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1096
- Rouge2 Precision: 0.8329
- Rouge2 Recall: 0.741
- Rouge2 Fmeasure: 0.7772

## 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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
| 0.1933        | 1.0   | 4049  | 0.1549          | 0.7965           | 0.7075        | 0.7423          |
| 0.161         | 2.0   | 8098  | 0.1345          | 0.8123           | 0.7211        | 0.7569          |
| 0.1459        | 3.0   | 12147 | 0.1256          | 0.8165           | 0.7253        | 0.7611          |
| 0.1371        | 4.0   | 16196 | 0.1194          | 0.8236           | 0.7321        | 0.7681          |
| 0.1293        | 5.0   | 20245 | 0.1159          | 0.8275           | 0.7355        | 0.7718          |
| 0.1243        | 6.0   | 24294 | 0.1135          | 0.8283           | 0.7356        | 0.7722          |
| 0.1245        | 7.0   | 28343 | 0.1116          | 0.831            | 0.7383        | 0.7748          |
| 0.1167        | 8.0   | 32392 | 0.1104          | 0.8325           | 0.7401        | 0.7765          |
| 0.1134        | 9.0   | 36441 | 0.1097          | 0.8325           | 0.7408        | 0.7769          |
| 0.1131        | 10.0  | 40490 | 0.1096          | 0.8329           | 0.741         | 0.7772          |


### Framework versions

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