README.md

---
license: apache-2.0
tags:
- generated_from_trainer
widget:
- text: "translate to SQL: How many models with BERT architecture are in the HuggingFace Hub?"
- text: "translate to English: SELECT COUNT Model FROM table WHERE Architecture = RoBERTa AND creator = Manuel Romero"

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: 0.1932
- Bleu: 41.8787
- Gen Len: 16.6251

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 0.2655        | 1.0   | 8097  | 0.2252          | 39.7999 | 16.6893 |
| 0.2401        | 2.0   | 16194 | 0.2066          | 40.9456 | 16.6712 |
| 0.2236        | 3.0   | 24291 | 0.1985          | 41.3509 | 16.5884 |
| 0.2158        | 4.0   | 32388 | 0.1944          | 41.6988 | 16.6165 |
| 0.2122        | 5.0   | 40485 | 0.1932          | 41.8787 | 16.6251 |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.0.0
- Tokenizers 0.11.6