PEFT_qwen2.5_coder_3b_probgate_schema_aware_finetuned_only_answerable
This model is a fine-tuned version of Qwen/Qwen2.5-Coder-3B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0636
Model description
The model was trained using special SQL generation delimeters:
<start_sql> SQL QUERY <end_sql>
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 1
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0 | 0 | 1.1622 |
| 0.0589 | 1.0 | 1169 | 0.0610 |
| 0.0531 | 2.0 | 2338 | 0.0607 |
| 0.0489 | 3.0 | 3507 | 0.0636 |
Framework versions
- PEFT 0.14.0
- Transformers 4.48.0
- Pytorch 2.7.1+cu126
- Datasets 3.2.0
- Tokenizers 0.21.0
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