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SQL_Tuning_runpod
This model is a fine-tuned version of 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 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.1.0.dev20230322+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
