deci7bit-lora-sql
This model is a fine-tuned version of Deci/DeciLM-7B on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.3613
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: 8
- eval_batch_size: 8
- seed: 1399
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7762 | 0.0565 | 20 | 0.5080 |
| 0.4829 | 0.1129 | 40 | 0.4278 |
| 0.4283 | 0.1694 | 60 | 0.4019 |
| 0.4102 | 0.2258 | 80 | 0.3903 |
| 0.4 | 0.2823 | 100 | 0.3856 |
| 0.3919 | 0.3387 | 120 | 0.3800 |
| 0.3876 | 0.3952 | 140 | 0.3773 |
| 0.3845 | 0.4517 | 160 | 0.3741 |
| 0.3801 | 0.5081 | 180 | 0.3665 |
| 0.3733 | 0.5646 | 200 | 0.3613 |
| 0.3697 | 0.6210 | 220 | 0.3613 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.2.2+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1