mistral-7b-sql
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the Hyper dataset. It achieves the following results on the evaluation set:
- Loss: 1.0316
Intended uses & limitations
This model is intended to be used for Text-to-SQL tasks, such as an interface for querying a database in natural language.
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.3669 | 0.9231 | 3 | 2.0030 |
| 1.9273 | 1.8462 | 6 | 1.6669 |
| 1.5048 | 2.7692 | 9 | 1.4241 |
| 0.915 | 4.0 | 13 | 1.2316 |
| 0.9884 | 4.9231 | 16 | 1.1354 |
| 0.8136 | 5.8462 | 19 | 1.0745 |
| 0.684 | 6.7692 | 22 | 1.0422 |
| 0.4341 | 8.0 | 26 | 1.0330 |
| 0.526 | 8.9231 | 29 | 1.0319 |
| 0.3763 | 9.2308 | 30 | 1.0316 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.1.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for AchrafTasfaout/Mistral-7B-SQL
Base model
mistralai/Mistral-7B-Instruct-v0.2