diff --git a/examples/extras/badam/sft.sh b/examples/extras/badam/sft.sh
index 656cfdba..c2319caa 100644
--- a/examples/extras/badam/sft.sh
+++ b/examples/extras/badam/sft.sh
@@ -1,35 +1,35 @@
-# BAdam layer-wise
-export CUDA_VISIBLE_DEVICES=0
-export PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True
-python ../../../src/train_bash.py \
---stage sft \
---do_train \
---model_name_or_path meta-llama/Llama-2-7b-hf \
---dataset alpaca_gpt4_en,glaive_toolcall \
---dataset_dir ../../../data \
---template default \
---finetuning_type full \
---output_dir ../../../saves/LLaMA2-7B/badam \
---overwrite_cache \
---overwrite_output_dir \
---cutoff_len 1024 \
---preprocessing_num_workers 32 \
---per_device_train_batch_size 8 \
---per_device_eval_batch_size 5 \
---gradient_accumulation_steps 2 \
---lr_scheduler_type cosine \
---logging_steps 10 \
---warmup_steps 20 \
---save_steps 100 \
---eval_steps 100 \
---evaluation_strategy steps \
---load_best_model_at_end \
---learning_rate 5e-5 \
---num_train_epochs 3.0 \
---val_size 0.1 \
---plot_loss \
---use_badam \
---switch_mode descending \
---badam_verbose 2 \
---switch_block_every 50
+#!/bin/bash
 
+CUDA_VISIBLE_DEVICES=0 python ../../../src/train_bash.py \
+    --stage sft \
+    --do_train \
+    --model_name_or_path meta-llama/Llama-2-7b-hf \
+    --dataset alpaca_gpt4_en,glaive_toolcall \
+    --dataset_dir ../../../data \
+    --template default \
+    --finetuning_type full \
+    --use_badam \
+    --badam_switch_mode descending \
+    --badam_switch_block_every 50 \
+    --badam_verbose 2 \
+    --output_dir ../../../saves/LLaMA2-7B/badam/sft \
+    --overwrite_cache \
+    --overwrite_output_dir \
+    --cutoff_len 1024 \
+    --preprocessing_num_workers 16 \
+    --per_device_train_batch_size 1 \
+    --per_device_eval_batch_size 1 \
+    --gradient_accumulation_steps 8 \
+    --lr_scheduler_type cosine \
+    --logging_steps 10 \
+    --warmup_steps 20 \
+    --save_steps 100 \
+    --eval_steps 100 \
+    --evaluation_strategy steps \
+    --load_best_model_at_end \
+    --learning_rate 5e-5 \
+    --num_train_epochs 3.0 \
+    --max_samples 3000 \
+    --val_size 0.1 \
+    --plot_loss \
+    --pure_bf16