diff --git a/docs/mindformers/docs/source_en/feature/monitor.md b/docs/mindformers/docs/source_en/feature/monitor.md
index 516349875e5f133d30a46da71c40e8d99c6aec50..5002eb4153f4433cfb3c5a4faf84085aaec7e7cb 100644
--- a/docs/mindformers/docs/source_en/feature/monitor.md
+++ b/docs/mindformers/docs/source_en/feature/monitor.md
@@ -27,6 +27,10 @@ monitor_config:
     device_local_norm_format: ['log', 'tensorboard']
     optimizer_state_format: null
     weight_state_format: null
+    weight_stable_rank_format: null
+    weight_eigenvalue_format: null
+    weight_aggregation: False
+    experts_abstract: False
     throughput_baseline: null
     print_struct: False
     check_for_global_norm: False
@@ -57,6 +61,10 @@ callbacks:
 | monitor_config.device_local_norm_format          | Sets the logging form of the indicator `device_local_norm`                                                                                                                                                                                   | str or list[str] |
 | monitor_config.optimizer_state_format            | Sets the logging form of the indicator `optimizer_state`                                                                                                                                                                                     | str or list[str] |
 | monitor_config.weight_state_format               | Sets the logging form of the indicator `weight L2-norm`                                                                                                                                                                                      | str or list[str] |
+| monitor_config.weight_stable_rank_format         | Sets the logging form of the indicator `weight_stable_rank`                                          | str or list[str] |
+| monitor_config.weight_eigenvalue_format          | Sets the logging form of the indicator `weight_eigenvalue`                                    | str or list[str] |
+| monitor_config.weight_aggregation                | Whether to perform weight aggregation via communication before setting the calculation metrics `weight_stable_rank` and `weight_eigenvalue`       | bool |
+| monitor_config.experts_abstract                  | Sets the way indicator `weight_stable_rank` and `weight_eigenvalue` showed in MOE model log：whether to display only statistical values (the metrics `weight_stable_rank` and `weight_eigenvalue` under the MOE model do not support TensorBoard display)                                                | bool |
 | monitor_config.throughput_baseline               | Sets the baseline value for the metric `throughput linearity`, which needs to be positive. It will be written to both TensorBoard and logs. Defaults to `null` when not set, indicating that the metric is not monitored                     | int or float     |
 | monitor_config.print_struct                      | Sets whether to print all trainable parameter names for the model. If `True`, it will print the names of all trainable parameters at the start of the first step and exit training at the end of the step. Default is `False`.               | bool          |
 | monitor_config.check_for_global_norm             | Sets whether to enable anomaly monitoring for indicator `global norm`. Default is `False`                                                                                                                                                    | bool          |
diff --git a/docs/mindformers/docs/source_zh_cn/feature/monitor.md b/docs/mindformers/docs/source_zh_cn/feature/monitor.md
index 5aa787fe140f693a68aed88f73d6be8915dc2061..de13f075193d4c90fcd4d846d2128e6f6687bcea 100644
--- a/docs/mindformers/docs/source_zh_cn/feature/monitor.md
+++ b/docs/mindformers/docs/source_zh_cn/feature/monitor.md
@@ -27,6 +27,10 @@ monitor_config:
     device_local_norm_format: ['log', 'tensorboard']
     optimizer_state_format: null
     weight_state_format: null
+    weight_stable_rank_format: null
+    weight_eigenvalue_format: null
+    weight_aggregation: False
+    experts_abstract: False
     throughput_baseline: null
     print_struct: False
     check_for_global_norm: False
@@ -57,6 +61,10 @@ callbacks:
 | monitor_config.device_local_norm_format          | 设置指标`device_local_norm`的记录形式                                                                              | str或list[str] |
 | monitor_config.optimizer_state_format            | 设置指标`optimizer_state`的记录形式                                                                                           | str或list[str] |
 | monitor_config.weight_state_format               | 设置指标`权重L2-norm`的记录形式                                                                                      | str或list[str] |
+| monitor_config.weight_stable_rank_format         | 设置指标`weight_stable_rank`的记录形式                                                                               | str或list[str] |
+| monitor_config.weight_eigenvalue_format          | 设置指标`weight_eigenvalue`的记录形式                                                                               | str或list[str] |
+| monitor_config.weight_aggregation                | 设置计算指标`weight_stable_rank`和`weight_eigenvalue`时是否先通信做权重聚合                                                                               | bool |
+| monitor_config.experts_abstract                  | MOE模型下设置展示指标`weight_stable_rank`和`weight_eigenvalue`在log中的展示形式：是否只展示统计值（MOE模型下指标`weight_stable_rank`和`weight_eigenvalue`不支持Tensorboard显示）             | bool |
 | monitor_config.throughput_baseline               | 设置指标`吞吐量线性度`的基线值，需要为正数。会同时写入到 TensorBoard 和日志。未设置时默认为`null`，表示不监控该指标                                      | int或float     |
 | monitor_config.print_struct                      | 设置是否打印模型的全部可训练参数名。若为`True`，则会在第一个step开始时打印所有可训练参数的名称，并在step结束后退出训练。默认为`False`                             | bool          |
 | monitor_config.check_for_global_norm             | 设置是否开启指标`global norm`的异常监测。默认为`False`                                                                     | bool          |