sft_config = SFTConfig( output_dir="Tosho1337/Truck_QLoRA_RAW_5", # directory to save and repository id num_train_epochs=10, # number of training epochs learning_rate=2e-4, # learning rate, based on QLoRA paper per_device_train_batch_size=3, # batch size per device during training bf16=True, # use bfloat16 precision gradient_accumulation_steps=2, # steps before performing a backward/update pass gradient_checkpointing=True, # use gradient checkpointing to save memory save_strategy="epoch", # save checkpoint every epoch push_to_hub=True, # push model to hub max_seq_length=512 )

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