Mistral-7B-text-to-sql-flash-attention-2-FAISS-10epoch
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.4891
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: 0.0002
- train_batch_size: 3
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- lr_scheduler_warmup_steps: 15
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.1635 | 0.2005 | 10 | 0.7133 |
| 0.6525 | 0.4010 | 20 | 0.5602 |
| 0.5386 | 0.6015 | 30 | 0.5175 |
| 0.5042 | 0.8020 | 40 | 0.4926 |
| 0.487 | 1.0025 | 50 | 0.4839 |
| 0.4099 | 1.2030 | 60 | 0.4804 |
| 0.4078 | 1.4035 | 70 | 0.4748 |
| 0.4125 | 1.6040 | 80 | 0.4692 |
| 0.402 | 1.8045 | 90 | 0.4645 |
| 0.398 | 2.0050 | 100 | 0.4635 |
| 0.3066 | 2.2055 | 110 | 0.5003 |
| 0.3049 | 2.4060 | 120 | 0.4879 |
| 0.313 | 2.6065 | 130 | 0.4891 |
Framework versions
- PEFT 0.11.1
- Transformers 4.42.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1