ec3ecf5b-38f9-48fe-ad45-8a59be2eb0bf
This model is a fine-tuned version of defog/sqlcoder-7b-2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8749
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: 0.000202
- train_batch_size: 4
- eval_batch_size: 4
- seed: 20
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0002 | 1 | 1.2318 |
| 1.7663 | 0.0099 | 50 | 1.0730 |
| 1.6198 | 0.0198 | 100 | 1.0748 |
| 1.4616 | 0.0297 | 150 | 1.0415 |
| 1.4939 | 0.0396 | 200 | 0.9482 |
| 1.5626 | 0.0495 | 250 | 0.9262 |
| 1.4139 | 0.0594 | 300 | 0.9080 |
| 1.4594 | 0.0693 | 350 | 0.8916 |
| 1.4237 | 0.0792 | 400 | 0.8824 |
| 1.2102 | 0.0891 | 450 | 0.8801 |
| 1.335 | 0.0990 | 500 | 0.8749 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
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Base model
defog/sqlcoder-7b-2