diff --git a/colossalai/shardformer/README.md b/colossalai/shardformer/README.md
index e475a607f..3ce4baa64 100644
--- a/colossalai/shardformer/README.md
+++ b/colossalai/shardformer/README.md
@@ -79,9 +79,9 @@ Following are the description `ShardConfig`'s arguments:
 
 - `enable_sequence_overlap`: Whether to turn on sequence overlap, which overlap the computation and communication in sequence parallelism. It can only be used when `enable_sequence_parallelism` is True. Defaults to False.
 
--  `enable_all_optimization`: Whether to turn on all optimization tools including `fused normalizaion`, `flash attention`, `JIT fused operators`, `sequence parallelism` and `sequence overlap`. Defaults to False.
+-  `enable_all_optimization`: Whether to turn on all optimization tools including `fused normalization`, `flash attention`, `JIT fused operators`, `sequence parallelism` and `sequence overlap`. Defaults to False.
 
-- `extra_kwargs`: A dict to store extra kwargs for ShardFomer.
+- `extra_kwargs`: A dict to store extra kwargs for ShardFormer.
 
 ### Write your own policy
 
diff --git a/colossalai/shardformer/_utils.py b/colossalai/shardformer/_utils.py
index 96d6cea21..e956279ba 100644
--- a/colossalai/shardformer/_utils.py
+++ b/colossalai/shardformer/_utils.py
@@ -32,7 +32,7 @@ def set_obj_list_element(obj, attr: str, value):
     r"""
     Set the element to value of a list object
 
-    It used like set_obj_list_element(obj, 'lyaers[0]', new_layer), it will set obj.layers[0] to value
+    It used like set_obj_list_element(obj, 'layers[0]', new_layer), it will set obj.layers[0] to value
 
     Args:
         obj (object): The object to set
diff --git a/colossalai/shardformer/shard/shard_config.py b/colossalai/shardformer/shard/shard_config.py
index a00506a1a..b5c9e66e0 100644
--- a/colossalai/shardformer/shard/shard_config.py
+++ b/colossalai/shardformer/shard/shard_config.py
@@ -22,8 +22,8 @@ class ShardConfig:
         enable_flash_attention (bool, optional): Whether to switch on flash attention. Defaults to False.
         enable_jit_fused (bool, optional): Whether to switch on JIT fused operators. Defaults to False.
         enable_sequence_parallelism (bool): Whether to turn on sequence parallelism, which partitions non-tensor-parallel regions along the sequence dimension. Defaults to False.
-        enable_sequence_overlap (bool): Whether to turn on sequence overlap, wheich overlap the computation and communication in sequence parallelism. It can only be used when enable_sequence_parallelism is True. Defaults to False.
-        enable_all_optimization (bool): Whether to turn on all optimization tools including 'fused normalizaion', 'flash attention', 'JIT fused operators', 'sequence parallelism' and 'sequence overlap'. Defaults to False.
+        enable_sequence_overlap (bool): Whether to turn on sequence overlap, which overlap the computation and communication in sequence parallelism. It can only be used when enable_sequence_parallelism is True. Defaults to False.
+        enable_all_optimization (bool): Whether to turn on all optimization tools including 'fused normalization', 'flash attention', 'JIT fused operators', 'sequence parallelism' and 'sequence overlap'. Defaults to False.
     """
     tensor_parallel_process_group: Optional[ProcessGroup] = None
     pipeline_stage_manager: Optional[PipelineStageManager] = None
diff --git a/colossalai/shardformer/shard/sharder.py b/colossalai/shardformer/shard/sharder.py
index fc2f92778..ee2f1f405 100644
--- a/colossalai/shardformer/shard/sharder.py
+++ b/colossalai/shardformer/shard/sharder.py
@@ -37,7 +37,7 @@ class ModelSharder(object):
         self.policy.set_model(self.model)
         self.policy.set_shard_config(self.shard_config)
         self._preprocess()
-        # get shared params before release unheld layers, this avoid misjudgement of shared params (None is None)
+        # get shared params before release unheld layers, this avoid misjudgment of shared params (None is None)
         shared_params = self.policy.get_shared_params()
         held_layers = self._release_unheld_layers()
         self._replace_module(include=held_layers)