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| Parameter | Value |
|---|---|
| Training Mode | SFT |
| Base Model | Qwen/Qwen2.5-7B-Instruct |
| Learning Rate | 0.0001 |
| Epochs | 2 |
| Batch Size | 1 |
| Gradient Accumulation | 8 |
| Effective Batch Size | 8 |
| Max Sequence Length | 2048 |
| Optimizer | paged_adamw_8bit |
| LR Scheduler | cosine |
| Warmup Ratio | 0.05 |
| Weight Decay | 0.01 |
| Max Grad Norm | 0.5 |
| Seed | 42 |
| LoRA Rank (r) | 128 |
| LoRA Alpha | 128 |
| LoRA Dropout | 0.05 |
| Target Modules | up_proj, down_proj, gate_proj, k_proj, q_proj, v_proj, o_proj |
| Quantization | 4-bit (NF4) |
| GPU | NVIDIA RTX A6000 |
