---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: t5-small-finetuned-wikisql-sql-nl-nl-sql
  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-wikisql-sql-nl-nl-sql

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1931
- Bleu: 41.8507
- Gen Len: 16.5973

## 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 | Bleu    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 0.2649        | 1.0   | 8097  | 0.2251          | 39.6277 | 16.6655 |
| 0.2387        | 2.0   | 16194 | 0.2063          | 40.9063 | 16.6415 |
| 0.2217        | 3.0   | 24291 | 0.1982          | 41.5796 | 16.6779 |
| 0.2213        | 4.0   | 32388 | 0.1940          | 41.7012 | 16.5994 |
| 0.2111        | 5.0   | 40485 | 0.1931          | 41.8507 | 16.5973 |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2