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Training Hyperparameters

"stage":"sft",  
"do_train": true,
"model_name_or_path":"google/gemma-2-2b-it",
"dataset":"glaive_rag_v1",  
"template":"gemma",
"finetuning_type":"lora",  
"lora_target":"all",  
"output_dir":"gemma_lora",
"per_device_train_batch_size":2,  
"gradient_accumulation_steps":4,  
"lr_scheduler_type":"cosine",
"logging_steps":10,  
"warmup_ratio":0.1,  
"save_steps":1000,  
"learning_rate":5e-5,
"num_train_epochs":3.0,  
"max_samples":500,  
"max_grad_norm":1.0,  
"quantization_bit":4,  
"loraplus_lr_ratio":16.0,  
"fp16": true

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