diff --git a/examples/train_lora/llama2_lora_sft.yaml b/examples/train_lora/llama2_lora_sft.yaml
index 9fb06d58..fd7078e0 100644
--- a/examples/train_lora/llama2_lora_sft.yaml
+++ b/examples/train_lora/llama2_lora_sft.yaml
@@ -8,7 +8,7 @@ finetuning_type: lora
 lora_target: q_proj,v_proj
 
 ### dataset
-dataset: alpaca_en
+dataset: alpaca_gpt4_zh
 template: llama2
 cutoff_len: 1024
 max_samples: 100000
@@ -16,7 +16,7 @@ overwrite_cache: true
 preprocessing_num_workers: 16
 
 ### output
-output_dir: ./saves/LLaMA2-7B/lora/train_24_8_12_23_21
+output_dir: ./saves/LLaMA2-7B/lora/train_24_8_13_07_26
 logging_steps: 3
 save_steps: 100
 plot_loss: true
@@ -25,7 +25,7 @@ overwrite_output_dir: true
 ### train
 per_device_train_batch_size: 2
 gradient_accumulation_steps: 8
-learning_rate: 5.0e-5
+learning_rate: 1.5e-4
 num_train_epochs: 10
 lr_scheduler_type: cosine
 warmup_ratio: 0.1