| --- |
| 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 |
|
|
