diff --git a/model_zoo/official/nlp/pangu_alpha/src/dataset.py b/model_zoo/official/nlp/pangu_alpha/src/dataset.py
index 8e7707510d0..6f6fc147b31 100644
--- a/model_zoo/official/nlp/pangu_alpha/src/dataset.py
+++ b/model_zoo/official/nlp/pangu_alpha/src/dataset.py
@@ -85,6 +85,8 @@ def create_dataset(batch_size, data_path, device_num=1, rank=0, drop=True, full_
         dataset_restore: the dataset for training or evaluating
     """
     ds.config.set_seed(1)
+    # Control the size of data queue in the consideration of the memory
+    ds.config.set_prefetch_size(1)
 
     # Get path for source data files
     home_path = os.path.join(os.getcwd(), data_path)
diff --git a/model_zoo/official/nlp/pangu_alpha/src/utils.py b/model_zoo/official/nlp/pangu_alpha/src/utils.py
index 96b44acc83c..7ef9133f536 100644
--- a/model_zoo/official/nlp/pangu_alpha/src/utils.py
+++ b/model_zoo/official/nlp/pangu_alpha/src/utils.py
@@ -336,9 +336,10 @@ def add_training_params(opt):
     opt.add_argument("--sink_size",
                      type=int,
                      default=2,
-                     help="The sink size of the training")
+                     help="The sink size of the training. default is 2")
     opt.add_argument("--full_batch",
                      default=1,
+                     type=int,
                      help="Import the full size of a batch for each card, default is 1")
     opt.add_argument("--optimizer_shard",
                      type=int,
@@ -347,11 +348,11 @@ def add_training_params(opt):
     opt.add_argument("--per_batch_size",
                      type=int,
                      default=6,
-                     help="The batch size for each data parallel way. default 32")
+                     help="The batch size for each data parallel way. default 6")
     opt.add_argument("--start_lr",
                      type=float,
                      default=5e-5,
-                     help="The start learning rate. default 1e-5")
+                     help="The start learning rate. default 5e-5")
     opt.add_argument("--end_lr",
                      type=float,
                      default=1e-6,
@@ -377,12 +378,12 @@ def get_args(inference=False):
     parser.add_argument("--device_num",
                         type=int,
                         default=128,
-                        help="Use device nums, default is 1.")
+                        help="Use device nums, default is 128.")
     parser.add_argument("--distribute",
                         type=str,
                         default="true",
                         choices=["true", "false"],
-                        help="Run distribute, default is false.")
+                        help="Run distribute, default is true.")
     parser.add_argument("--load_ckpt_name",
                         type=str,
                         default='PANGUALPHA3.ckpt',
@@ -408,7 +409,7 @@ def get_args(inference=False):
                         type=str,
                         default="2.6B",
                         choices=["200B", "13B", "2.6B", "self_define"],
-                        help="The train/eval mode")
+                        help="The scale of the model parameters")
     parser.add_argument("--strategy_load_ckpt_path",
                         type=str,
                         default="",