Upload lora_sft.yaml

lora_sft.yaml

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+### model
+model_name_or_path: /root/autodl-tmp/LLM-Research/Phi-3-medium-128k-instruct
+
+### method
+stage: sft
+do_train: true
+finetuning_type: lora
+lora_target: all
+
+### dataset
+dataset: 
+template: phi
+cutoff_len: 1024
+max_samples: 100000
+overwrite_cache: true
+preprocessing_num_workers: 64
+
+### output
+output_dir: saves/Phi-3-medium-128k-instruct/lora/sft
+logging_steps: 10
+save_steps: 3000
+plot_loss: true
+overwrite_output_dir: true
+
+### train
+per_device_train_batch_size: 3
+gradient_accumulation_steps: 8
+learning_rate: 1.0e-4
+num_train_epochs: 3.0
+lr_scheduler_type: cosine
+warmup_ratio: 0.1
+bf16: true
+ddp_timeout: 180000000
+
+### eval
+# val_size: 0.1
+# per_device_eval_batch_size: 1
+# eval_strategy: steps
+# eval_steps: 500