diff --git a/PyTorch/built-in/nlp/Bert-Squad_ID0470_for_PyTorch/README.md b/PyTorch/built-in/nlp/Bert-Squad_ID0470_for_PyTorch/README.md
index c6d77a73cbfede5c885e3efde41e569e4defbb45..4b6004da05113836648d14e9ce7c0d4bf166d365 100644
--- a/PyTorch/built-in/nlp/Bert-Squad_ID0470_for_PyTorch/README.md
+++ b/PyTorch/built-in/nlp/Bert-Squad_ID0470_for_PyTorch/README.md
@@ -39,8 +39,6 @@ BERT-Large模型是一个24层，1024维，24个自注意头（self attention he
 
   | Torch_Version      | 三方库依赖版本                                 |
   | :--------: | :----------------------------------------------------------: |
-  | PyTorch 1.5 | - |
-  | PyTorch 1.8 | - |
   | PyTorch 1.11   | - |
   | PyTorch 2.1   | - |
 
diff --git a/PyTorch/contrib/audio/wav2vec2.0/README.md b/PyTorch/contrib/audio/wav2vec2.0/README.md
index 706b8f84275af2018ca5d3e27e72bef369af4d5b..31bee838077f5cea9d91815506f55672ea3d8e8b 100644
--- a/PyTorch/contrib/audio/wav2vec2.0/README.md
+++ b/PyTorch/contrib/audio/wav2vec2.0/README.md
@@ -36,8 +36,6 @@ Wav2vec2.0是Meta在2020年发表的无监督语音预训练模型。它的核
 
   | Torch_Version      | 三方库依赖版本                                 |
   | :--------: | :----------------------------------------------------------: |
-  | PyTorch 1.5 | - |
-  | PyTorch 1.8 | - |
   | PyTorch 1.11   | - |
 
 - 环境准备指导。
diff --git a/PyTorch/contrib/audio/wav2vec2.0/examples/wav2vec/config/finetuning/base_100h.yaml b/PyTorch/contrib/audio/wav2vec2.0/examples/wav2vec/config/finetuning/base_100h.yaml
index 37b4bfc0c8c88d76fe754e04f207e052bf2a857a..a7ea2db503887b2866bad8c8a254d5f389d386fc 100644
--- a/PyTorch/contrib/audio/wav2vec2.0/examples/wav2vec/config/finetuning/base_100h.yaml
+++ b/PyTorch/contrib/audio/wav2vec2.0/examples/wav2vec/config/finetuning/base_100h.yaml
@@ -31,6 +31,7 @@ dataset:
   validate_interval: 50
   validate_interval_updates: 1000
   valid_subset: valid
+  shuffle: true
 
 distributed_training:
   ddp_backend: legacy_ddp
diff --git a/PyTorch/contrib/audio/wav2vec2.0/fairseq/dataclass/configs.py b/PyTorch/contrib/audio/wav2vec2.0/fairseq/dataclass/configs.py
index 697a0503e28e9af0b0aa3a08ba2d600d36e83a00..fbb376126a00f0b055512a4b88f4032209377c14 100644
--- a/PyTorch/contrib/audio/wav2vec2.0/fairseq/dataclass/configs.py
+++ b/PyTorch/contrib/audio/wav2vec2.0/fairseq/dataclass/configs.py
@@ -582,6 +582,12 @@ class DatasetConfig(FairseqDataclass):
             "help": "if true then increment seed with epoch for getting batch iterators, defautls to False.",
         },
     )
+    shuffle: bool = field(
+        default=True,
+        metadata={
+            "help": "You can disable data_shuffle for performance training.",
+        },
+    )
 
 
 @dataclass
diff --git a/PyTorch/contrib/audio/wav2vec2.0/fairseq_cli/train.py b/PyTorch/contrib/audio/wav2vec2.0/fairseq_cli/train.py
index dca1da454acbda97a6344eb95341d0c1b5e16f7f..9fc4355e33127875d665f1d219964a06880d3c00 100644
--- a/PyTorch/contrib/audio/wav2vec2.0/fairseq_cli/train.py
+++ b/PyTorch/contrib/audio/wav2vec2.0/fairseq_cli/train.py
@@ -269,7 +269,7 @@ def train(
     # Initialize data iterator
     itr = epoch_itr.next_epoch_itr(
         fix_batches_to_gpus=cfg.distributed_training.fix_batches_to_gpus,
-        shuffle=(epoch_itr.next_epoch_idx > cfg.dataset.curriculum),
+        shuffle=(epoch_itr.next_epoch_idx > cfg.dataset.curriculum) and cfg.dataset.shuffle,
     )
     update_freq = (
         cfg.optimization.update_freq[epoch_itr.epoch - 1]
diff --git a/PyTorch/contrib/audio/wav2vec2.0/test/train_performance_1p.sh b/PyTorch/contrib/audio/wav2vec2.0/test/train_performance_1p.sh
index b5d977b9a18c1c2d2fc47cc5758b8ab8aa91d776..4402294fcf68c68debc98e7a5b5c2e187372c4c3 100644
--- a/PyTorch/contrib/audio/wav2vec2.0/test/train_performance_1p.sh
+++ b/PyTorch/contrib/audio/wav2vec2.0/test/train_performance_1p.sh
@@ -127,6 +127,7 @@ echo "$data_path"
 fairseq-hydra-train \
     task.data=./data/manifest \
     dataset.batch_size=$batch_size \
+    dataset.shuffle=false \
     hydra.run.dir=$PWD \
     distributed_training.distributed_world_size=1 \
     optimization.max_update=2000 \
diff --git a/PyTorch/contrib/audio/wav2vec2.0/test/train_performance_8p.sh b/PyTorch/contrib/audio/wav2vec2.0/test/train_performance_8p.sh
index e9ef13f8a891060ca74eb73d8b8710298c1afd43..6bb4742a09614896efdfea5d66108d7e244983db 100644
--- a/PyTorch/contrib/audio/wav2vec2.0/test/train_performance_8p.sh
+++ b/PyTorch/contrib/audio/wav2vec2.0/test/train_performance_8p.sh
@@ -128,6 +128,7 @@ echo "$data_path"
 fairseq-hydra-train \
     task.data=./data/manifest \
     dataset.batch_size=$batch_size \
+    dataset.shuffle=false \
     hydra.run.dir=$PWD \
     distributed_training.distributed_world_size=8 \
     optimization.max_update=800 \