diff --git a/egs/speech_llm/ASR_LLM/whisper_llm_zh/decode.py b/egs/speech_llm/ASR_LLM/whisper_llm_zh/decode.py
index f386bcdd0..88b831f2f 100755
--- a/egs/speech_llm/ASR_LLM/whisper_llm_zh/decode.py
+++ b/egs/speech_llm/ASR_LLM/whisper_llm_zh/decode.py
@@ -561,7 +561,8 @@ def main():
         return True
 
     # test_sets_cuts = multi_dataset.test_cuts()
-    test_sets_cuts = multi_dataset.aishell_test_cuts()
+    # test_sets_cuts = multi_dataset.aishell_test_cuts()
+    test_sets_cuts = multi_dataset.wenetspeech_test_meeting_cuts()
 
     test_sets = test_sets_cuts.keys()
     test_dls = [
diff --git a/egs/speech_llm/ASR_LLM/whisper_llm_zh/ds_config_zero1.json b/egs/speech_llm/ASR_LLM/whisper_llm_zh/ds_config_zero1.json
index 9d2cef08f..730937a21 100644
--- a/egs/speech_llm/ASR_LLM/whisper_llm_zh/ds_config_zero1.json
+++ b/egs/speech_llm/ASR_LLM/whisper_llm_zh/ds_config_zero1.json
@@ -19,14 +19,14 @@
     "optimizer": {
         "type": "Adam",
         "params": {
-            "lr": 5e-4
+            "lr": 1e-4
         }
     },
     "scheduler": {
         "type": "WarmupLR",
         "params": {
             "warmup_min_lr": 0,
-            "warmup_max_lr": 5e-4,
+            "warmup_max_lr": 1e-4,
             "warmup_num_steps": 100
         }
     },
diff --git a/egs/speech_llm/ASR_LLM/whisper_llm_zh/multi_dataset.py b/egs/speech_llm/ASR_LLM/whisper_llm_zh/multi_dataset.py
index 52bbf8c64..9b3ef6e69 100644
--- a/egs/speech_llm/ASR_LLM/whisper_llm_zh/multi_dataset.py
+++ b/egs/speech_llm/ASR_LLM/whisper_llm_zh/multi_dataset.py
@@ -230,20 +230,20 @@ class MultiDataset:
 
         return {
             "wenetspeech-meeting_test": wenetspeech_test_meeting_cuts,
-            # "aishell_test": aishell_test_cuts,
-            # "aishell_dev": aishell_dev_cuts,
-            # "ali-meeting_test": alimeeting_test_cuts,
-            # "ali-meeting_eval": alimeeting_eval_cuts,
-            # "aishell-4_test": aishell4_test_cuts,
-            # "aishell-2_test": aishell2_test_cuts,
-            # "aishell-2_dev": aishell2_dev_cuts,
-            # "magicdata_test": magicdata_test_cuts,
-            # "magicdata_dev": magicdata_dev_cuts,
-            # "kespeech-asr_test": kespeech_test_cuts,
-            # "kespeech-asr_dev_phase1": kespeech_dev_phase1_cuts,
-            # "kespeech-asr_dev_phase2": kespeech_dev_phase2_cuts,
-            # "wenetspeech-net_test": wenetspeech_test_net_cuts,
-            # "wenetspeech_dev": wenetspeech_dev_cuts,
+            "aishell_test": aishell_test_cuts,
+            "aishell_dev": aishell_dev_cuts,
+            "ali-meeting_test": alimeeting_test_cuts,
+            "ali-meeting_eval": alimeeting_eval_cuts,
+            "aishell-4_test": aishell4_test_cuts,
+            "aishell-2_test": aishell2_test_cuts,
+            "aishell-2_dev": aishell2_dev_cuts,
+            "magicdata_test": magicdata_test_cuts,
+            "magicdata_dev": magicdata_dev_cuts,
+            "kespeech-asr_test": kespeech_test_cuts,
+            "kespeech-asr_dev_phase1": kespeech_dev_phase1_cuts,
+            "kespeech-asr_dev_phase2": kespeech_dev_phase2_cuts,
+            "wenetspeech-net_test": wenetspeech_test_net_cuts,
+            "wenetspeech_dev": wenetspeech_dev_cuts,
         }
 
     def aishell_train_cuts(self) -> CutSet:
@@ -317,4 +317,17 @@ class MultiDataset:
 
         return {
             "aishell2_test": aishell2_test_cuts,
+        }
+
+    def wenetspeech_test_meeting_cuts(self) -> CutSet:
+        logging.info("About to get multidataset test cuts")
+
+        # WeNetSpeech
+        logging.info("Loading WeNetSpeech set in lazy mode")
+        wenetspeech_test_meeting_cuts = load_manifest_lazy(
+            self.fbank_dir / "wenetspeech" / "cuts_TEST_MEETING.jsonl.gz"
+        )
+
+        return {
+            "wenetspeech-meeting_test": wenetspeech_test_meeting_cuts,
         }
\ No newline at end of file
diff --git a/egs/speech_llm/ASR_LLM/whisper_llm_zh/train.py b/egs/speech_llm/ASR_LLM/whisper_llm_zh/train.py
index 10023ec9a..21b615930 100755
--- a/egs/speech_llm/ASR_LLM/whisper_llm_zh/train.py
+++ b/egs/speech_llm/ASR_LLM/whisper_llm_zh/train.py
@@ -823,14 +823,14 @@ def run(rank, world_size, args):
         # an utterance duration distribution for your dataset to select
         # the threshold
         if c.duration < 1.0 or c.duration > 20.0:
-            logging.warning(
-               f"Exclude cut with ID {c.id} from training. Duration: {c.duration}"
-            )
+            # logging.warning(
+            #    f"Exclude cut with ID {c.id} from training. Duration: {c.duration}"
+            # )
             return False
         return True
 
-    # train_cuts = multi_dataset.train_cuts()
-    train_cuts = multi_dataset.aishell_train_cuts()
+    train_cuts = multi_dataset.train_cuts()
+    # train_cuts = multi_dataset.aishell_train_cuts()
     # train_cuts = multi_dataset.aishell2_train_cuts()
     train_cuts = train_cuts.filter(remove_short_and_long_utt)