diff --git a/funasr/datasets/openai_datasets/datasets.py b/funasr/datasets/openai_datasets/datasets.py
index 9b36078f3..07a7c319a 100644
--- a/funasr/datasets/openai_datasets/datasets.py
+++ b/funasr/datasets/openai_datasets/datasets.py
@@ -63,6 +63,7 @@ class OpenAIDataset(torch.utils.data.Dataset):
         # self.kwargs = kwargs
         self.max_token_length = kwargs.get("max_token_length", 1024)
         self.batch_size_scale_ratio_max = kwargs.get("batch_size_scale_ratio_max", 1.5)
+        self.batch_size_token_max = kwargs.get("batch_size_token_max", 2500)
 
     def get_source_len(self, index):
         item = self.index_ds[index]
@@ -213,7 +214,7 @@ class OpenAIDataset(torch.utils.data.Dataset):
                 b, t = outputs["input_ids"].shape
                 if b > 1 and b * t > self.batch_size * self.batch_size_scale_ratio_max:
                     logging.info(
-                        f"Warning, b*t: {b}*{t}={b * t} > batch_size*relax: {self.batch_size_scale_ratio_max}*{self.batch_size}={self.batch_size_scale_ratio_max*self.batch_size}, drop last data"
+                        f"Warning, {idx}th, b*t: {b}*{t}={b * t} > batch_size_sample_max: {self.batch_size_token_max}, drop last data"
                     )
                     samples = samples[:-1]
                     continue