diff --git a/fastvideo/v1/dataset/parquet_datasets.py b/fastvideo/v1/dataset/parquet_datasets.py
index ec68025b7..348f57092 100644
--- a/fastvideo/v1/dataset/parquet_datasets.py
+++ b/fastvideo/v1/dataset/parquet_datasets.py
@@ -115,7 +115,6 @@ class ParquetVideoTextDataset(Dataset):
         else:
             pass
 
-        # get_world_group().barrier()
         dist.barrier()
         if validation:
             with open(self.plan_output_dir) as f:
diff --git a/fastvideo/v1/pipelines/pipeline_batch_info.py b/fastvideo/v1/pipelines/pipeline_batch_info.py
index f07e7ea2b..d135487ee 100644
--- a/fastvideo/v1/pipelines/pipeline_batch_info.py
+++ b/fastvideo/v1/pipelines/pipeline_batch_info.py
@@ -126,4 +126,3 @@ class ForwardBatch:
         # Set do_classifier_free_guidance based on guidance scale and negative prompt
         if self.guidance_scale > 1.0:
             self.do_classifier_free_guidance = True
-            # self.negative_prompt_embeds = []
diff --git a/fastvideo/v1/training/wan_training_pipeline.py b/fastvideo/v1/training/wan_training_pipeline.py
index 37008eac8..02d1d198d 100644
--- a/fastvideo/v1/training/wan_training_pipeline.py
+++ b/fastvideo/v1/training/wan_training_pipeline.py
@@ -272,7 +272,6 @@ class WanTrainingPipeline(TrainingPipeline):
         logger.info("GPU memory usage before train_one_step: %s MB",
                     gpu_memory_usage)
 
-        # self._log_validation(self.transformer, self.training_args, 1)
         for step in range(self.init_steps + 1,
                           self.training_args.max_train_steps + 1):
             start_time = time.perf_counter()
diff --git a/scripts/preprocess/preprocess_wan_data_t2v.sh b/scripts/preprocess/preprocess_wan_data_t2v.sh
index 8603a21c5..ca9ef3610 100644
--- a/scripts/preprocess/preprocess_wan_data_t2v.sh
+++ b/scripts/preprocess/preprocess_wan_data_t2v.sh
@@ -2,15 +2,15 @@
 GPU_NUM=1 # 2,4,8
 MODEL_PATH="Wan-AI/Wan2.1-T2V-1.3B-Diffusers"
 MODEL_TYPE="wan"
-DATA_MERGE_PATH="data/cats_480/merge.txt"
-OUTPUT_DIR="cats_480_2_latents_parq_neg2"
-VALIDATION_PATH="assets/2_cat_prompt.txt"
+DATA_MERGE_PATH="your/path/to/Mixkit-Src/merge.txt"
+OUTPUT_DIR="your/path"
+VALIDATION_PATH="assets/prompt.txt"
 
 torchrun --nproc_per_node=$GPU_NUM \
     fastvideo/data_preprocess/preprocess.py \
     --model_path $MODEL_PATH \
     --data_merge_path $DATA_MERGE_PATH \
-    --preprocess_video_batch_size 1 \
+    --preprocess_video_batch_size 8 \
     --max_height 480 \
     --max_width 832 \
     --num_frames 81 \
@@ -19,6 +19,6 @@ torchrun --nproc_per_node=$GPU_NUM \
     --model_type $MODEL_TYPE \
     --train_fps 16 \
     --validation_prompt_txt $VALIDATION_PATH \
-    --samples_per_file 1 \
-    --flush_frequency 1 \
+    --samples_per_file 32 \
+    --flush_frequency 128 \
     --preprocess_task "t2v"
\ No newline at end of file