# Fine-tuned Model: Dindan

## 📚 Training Configuration
- **data_path**: `QomSSLab/MMPD_QA_v2`
- **output_dir**: `gemma312b_lora_chckpnts-dindan`
- **new_model_name**: `Dindan`
- **data_ratio**: `1.0`
- **model_name**: `QomSSLab/gemma-3-12b-it`
- **use_4bit**: `False`
- **use_lora**: `False`
- **max_seq_length**: `2048`
- **batch_size**: `16`
- **gradient_accu**: `8`
- **epochs**: `1`
- **learning_rate**: `2e-05`
- **lora_alpha**: `256`
- **lora_drop**: `0.05`
- **lora_r**: `256`
- **tune_embedding_layer**: `False`
- **hf_token**: `********`
- **resume_from_checkpoint**: `False`
- **use_8bit_optimizer**: `True`
- **push_to_hub**: `True`
- **push_lora_only**: `False`
- **train_only_on_assistant**: `False`
- **last_response**: `False`

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Auto-generated after training.