| --- |
| license: apache-2.0 |
| base_model: google/flan-t5-base |
| tags: |
| - generated_from_trainer |
| metrics: |
| - bleu |
| model-index: |
| - name: SQL_Tuning_runpod |
| 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_Tuning_runpod |
|
|
| 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: 0.0452 |
| - Bleu: 44.1094 |
| - Gen Len: 18.9135 |
|
|
| ## 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: 0.0001 |
| - 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: 1 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
| |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:| |
| | 0.2746 | 0.08 | 1000 | 0.1082 | 42.9089 | 18.9275 | |
| | 0.1472 | 0.15 | 2000 | 0.0852 | 43.3232 | 18.9021 | |
| | 0.1233 | 0.23 | 3000 | 0.0736 | 43.5297 | 18.915 | |
| | 0.1121 | 0.31 | 4000 | 0.0662 | 43.6957 | 18.9164 | |
| | 0.1 | 0.39 | 5000 | 0.0611 | 43.8882 | 18.9131 | |
| | 0.092 | 0.46 | 6000 | 0.0576 | 43.9239 | 18.9136 | |
| | 0.0874 | 0.54 | 7000 | 0.0531 | 43.8973 | 18.9138 | |
| | 0.0824 | 0.62 | 8000 | 0.0515 | 43.9284 | 18.911 | |
| | 0.0788 | 0.69 | 9000 | 0.0495 | 43.9772 | 18.9131 | |
| | 0.0765 | 0.77 | 10000 | 0.0472 | 44.057 | 18.9152 | |
| | 0.0723 | 0.85 | 11000 | 0.0463 | 44.0788 | 18.915 | |
| | 0.0708 | 0.93 | 12000 | 0.0452 | 44.1094 | 18.9135 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.33.3 |
| - Pytorch 2.1.0.dev20230322+cu118 |
| - Datasets 2.14.5 |
| - Tokenizers 0.13.3 |
|
|
