| --- |
| license: apache-2.0 |
| base_model: google/flan-t5-base |
| tags: |
| - generated_from_trainer |
| metrics: |
| - bleu |
| model-index: |
| - name: SQL_Kaggle |
| 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. --> |
|
|
| # SQL_Kaggle |
| |
| This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0548 |
| - Bleu: 43.7723 |
| - Gen Len: 18.9204 |
| |
| ## 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: 0.0003 |
| - train_batch_size: 12 |
| - eval_batch_size: 12 |
| - seed: 42 |
| - gradient_accumulation_steps: 20 |
| - total_train_batch_size: 240 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 1 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
| | 0.3225 | 0.12 | 100 | 0.1124 | 42.6318 | 18.9124 | |
| | 0.1451 | 0.23 | 200 | 0.0851 | 43.0481 | 18.9202 | |
| | 0.1218 | 0.35 | 300 | 0.0733 | 43.4809 | 18.9254 | |
| | 0.1062 | 0.46 | 400 | 0.0670 | 43.4753 | 18.9186 | |
| | 0.0978 | 0.58 | 500 | 0.0621 | 43.59 | 18.9205 | |
| | 0.0901 | 0.69 | 600 | 0.0587 | 43.68 | 18.9214 | |
| | 0.0859 | 0.81 | 700 | 0.0565 | 43.7207 | 18.9206 | |
| | 0.0824 | 0.93 | 800 | 0.0548 | 43.7723 | 18.9204 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.33.3 |
| - Pytorch 2.0.0 |
| - Datasets 2.14.5 |
| - Tokenizers 0.13.3 |
|
|
