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Fine-tuned Model: Yarno_Adaptor
📚 Training Configuration
- data_path:
QomSSLab/DS_YARNO - output_dir:
gemma312b_lora_chckpnts - new_model_name:
Yarno_Adaptor - data_ratio:
1.0 - model_name:
QomSSLab/gemma-3-12b-it - use_4bit:
False - use_lora:
True - max_seq_length:
10000 - batch_size:
1 - gradient_accu:
8 - epochs:
1 - learning_rate:
1e-05 - lora_alpha:
64 - lora_drop:
0.05 - lora_r:
64 - tune_embedding_layer:
False - hf_token:
******** - resume_from_checkpoint:
False - use_8bit_optimizer:
True - push_to_hub:
True - push_lora_only:
True - train_only_on_assistant:
True - last_response:
True
Auto-generated after training.
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