sft
This model is a fine-tuned version of Qwen/Qwen3.5-9B on the vuln_reasoning_sft dataset. It achieves the following results on the evaluation set:
- Loss: 1.5869
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 0.05
- num_epochs: 8.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6477 | 5.0 | 10 | 1.5928 |
Framework versions
- PEFT 0.18.1
- Transformers 5.2.0
- Pytorch 2.11.0+cu130
- Datasets 4.0.0
- Tokenizers 0.22.2
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