bugfix bert config

model_zoo/official/nlp/bert/src/config.py

@@ -57,6 +57,7 @@ large: BERT-NEZHA(a Chinese pretrained language model developed by Huawei, which
        Functional Relative Posetional Encoding as an effective positional encoding scheme).
 '''
 if cfg.bert_network == 'base':
+    cfg.batch_size = 64
     bert_net_cfg = BertConfig(
         seq_length=128,
         vocab_size=21128,
@@ -75,6 +76,7 @@ if cfg.bert_network == 'base':
         compute_type=mstype.float16
     )
 if cfg.bert_network == 'nezha':
+    cfg.batch_size = 96
     bert_net_cfg = BertConfig(
         seq_length=128,
         vocab_size=21128,
@@ -93,6 +95,7 @@ if cfg.bert_network == 'nezha':
         compute_type=mstype.float16
     )
 if cfg.bert_network == 'large':
+    cfg.batch_size = 24
     bert_net_cfg = BertConfig(
         seq_length=512,
         vocab_size=30522,