---
tags:
- generated_from_trainer
base_model: TeeA/T5-Text2SQL-Bilingual
model-index:
- name: Text2SQL-Bilingual
  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. -->

# Text2SQL-Bilingual

This model is a fine-tuned version of [TeeA/T5-Text2SQL-Bilingual](https://huggingface.co/TeeA/T5-Text2SQL-Bilingual) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 11.0281
- eval_rouge1: 0.2144
- eval_rouge2: 0.0542
- eval_rougeL: 0.2005
- eval_rougeLsum: 0.2020
- eval_runtime: 89.1307
- eval_samples_per_second: 10.703
- eval_steps_per_second: 2.681
- step: 0

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2