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
Auto-generated after training.