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🛠️ Model Details
- Base Model:
LGAI-EXAONE/EXAONE-3.5-7.8B-Instruct - Model Size: 7.8B
- Fine-tuned by: kkh27
- Training Framework: Hugging Face Transformers + PEFT (LoRA)
- Precision: bfloat16 (bf16)
- Language: Korean
🧪 Training Configuration
🔧 LoRA Configuration
| Parameter | Value |
|---|---|
Rank (r) |
16 |
| Alpha | 32 |
| Dropout | 0.05 |
| Bias | none |
| Task Type | CAUSAL_LM |
| Target Modules | q_proj, k_proj |
⚙️ Training Arguments
| Argument | Value |
|---|---|
| Per device train batch size | 8 |
| Gradient accumulation steps | 1 |
| Epochs | 3 |
| Learning rate | 5e-6 |
| Weight decay | 0.1 |
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