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SQL_Kaggle
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: 0.0548
- 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
