diff --git a/examples/train_lora/llama2_lora_sft.yaml b/examples/train_lora/llama2_lora_sft.yaml
index 12f9d4d0..fc6c3554 100644
--- a/examples/train_lora/llama2_lora_sft.yaml
+++ b/examples/train_lora/llama2_lora_sft.yaml
@@ -5,31 +5,31 @@ model_name_or_path: modelscope/Llama-2-7b-ms
 stage: sft
 do_train: true
 finetuning_type: lora
-lora_target: all
+lora_target: q_proj,v_proj
 
 ### dataset
 dataset: alpaca_zh
 template: llama2
 cutoff_len: 1024
-max_samples: 1000
+max_samples: 100000
 overwrite_cache: true
 preprocessing_num_workers: 16
 
 ### output
-output_dir: ./saves/LLaMA2-7B/lora/train_24_8_12_15_46
-logging_steps: 10
-save_steps: 500
+output_dir: ./saves/LLaMA2-7B/lora/train_24_8_12_16_46
+logging_steps: 5
+save_steps: 100
 plot_loss: true
 overwrite_output_dir: true
 
 ### train
 per_device_train_batch_size: 2
 gradient_accumulation_steps: 8
-learning_rate: 1.0e-4
-num_train_epochs: 3.0
+learning_rate: 5e-5
+num_train_epochs: 5.0
 lr_scheduler_type: cosine
 warmup_ratio: 0.1
-bf16: true
+fp16: true
 ddp_timeout: 180000000
 
 ### eval