diff --git a/configs/7B_MoE4_sft.py b/configs/7B_MoE4_sft.py
index 92a93d0..d2ead39 100644
--- a/configs/7B_MoE4_sft.py
+++ b/configs/7B_MoE4_sft.py
@@ -145,18 +145,18 @@ model = dict(
     moe_use_residual=False,
     moe_gate_k=2,
 )
-"""
-zero1 parallel:
-    1. if zero1 <= 0, The size of the zero process group is equal to the size of the dp process group,
-        so parameters will be divided within the range of dp.
-    2. if zero1 == 1, zero is not used, and all dp groups retain the full amount of model parameters.
-    3. zero1 > 1 and zero1 <= dp world size, the world size of zero is a subset of dp world size.
-        For smaller models, it is usually a better choice to split the parameters within nodes with a setting <= 8.
-pipeline parallel (dict):
-    1. size: int, the size of pipeline parallel.
-    2. interleaved_overlap: bool, enable/disable communication overlap when using interleaved pipeline scheduler.
-tensor parallel: tensor parallel size, usually the number of GPUs per node.
-"""
+
+# zero1 parallel:
+#     1. if zero1 <= 0, The size of the zero process group is equal to the size of the dp process group,
+#         so parameters will be divided within the range of dp.
+#     2. if zero1 == 1, zero is not used, and all dp groups retain the full amount of model parameters.
+#     3. zero1 > 1 and zero1 <= dp world size, the world size of zero is a subset of dp world size.
+#         For smaller models, it is usually a better choice to split the parameters within nodes with a setting <= 8.
+# pipeline parallel (dict):
+#     1. size: int, the size of pipeline parallel.
+#     2. interleaved_overlap: bool, enable/disable communication overlap when using interleaved pipeline scheduler.
+# tensor parallel: tensor parallel size, usually the number of GPUs per node.
+
 parallel = dict(
     zero1=dict(size=-1, fsdp=False),
     tensor=1,
@@ -176,4 +176,8 @@ monitor = dict(
     ),
 )
 
-model_type = "INTERNLM_MoE"
\ No newline at end of file
+model_type = "INTERNLM_MoE"
+
+# metric_dtype can be "fp32" or other string
+# only when set to fp32 or unset will use fp32 to calc in metrics
+metric_dtype = "fp32"
diff --git a/configs/7B_sft.py b/configs/7B_sft.py
index 1cbb5e7..39a84fc 100644
--- a/configs/7B_sft.py
+++ b/configs/7B_sft.py
@@ -146,18 +146,18 @@ model = dict(
     use_flash_attn=True,
     num_chunks=1,  # if num_chunks > 1, interleaved pipeline scheduler is used.
 )
-"""
-zero1 parallel:
-    1. if zero1 <= 0, The size of the zero process group is equal to the size of the dp process group,
-        so parameters will be divided within the range of dp.
-    2. if zero1 == 1, zero is not used, and all dp groups retain the full amount of model parameters.
-    3. zero1 > 1 and zero1 <= dp world size, the world size of zero is a subset of dp world size.
-        For smaller models, it is usually a better choice to split the parameters within nodes with a setting <= 8.
-pipeline parallel (dict):
-    1. size: int, the size of pipeline parallel.
-    2. interleaved_overlap: bool, enable/disable communication overlap when using interleaved pipeline scheduler.
-tensor parallel: tensor parallel size, usually the number of GPUs per node.
-"""
+
+# zero1 parallel:
+#     1. if zero1 <= 0, The size of the zero process group is equal to the size of the dp process group,
+#         so parameters will be divided within the range of dp.
+#     2. if zero1 == 1, zero is not used, and all dp groups retain the full amount of model parameters.
+#     3. zero1 > 1 and zero1 <= dp world size, the world size of zero is a subset of dp world size.
+#         For smaller models, it is usually a better choice to split the parameters within nodes with a setting <= 8.
+# pipeline parallel (dict):
+#     1. size: int, the size of pipeline parallel.
+#     2. interleaved_overlap: bool, enable/disable communication overlap when using interleaved pipeline scheduler.
+# tensor parallel: tensor parallel size, usually the number of GPUs per node.
+
 parallel = dict(
     zero1=dict(size=8, fsdp=False),
     tensor=1,
@@ -177,3 +177,7 @@ monitor = dict(
         alert_file_path=f"llm_alter/{JOB_NAME}_alert.log",
     ),
 )
+
+# metric_dtype can be "fp32" or other string
+# only when set to fp32 or unset will use fp32 to calc in metrics
+metric_dtype = "fp32"