diff --git a/doc/model/train-fitting-tensor.md b/doc/model/train-fitting-tensor.md
index d67ad244da..4074316186 100644
--- a/doc/model/train-fitting-tensor.md
+++ b/doc/model/train-fitting-tensor.md
@@ -7,7 +7,7 @@ $deepmd_source_dir/examples/water_tensor/dipole/dipole_input.json
 $deepmd_source_dir/examples/water_tensor/polar/polar_input.json
 ```
 
-The training and validation data are also provided our examples. But note that **the data provided along with the examples are of limited amount, and should not be used to train a productive model.**
+The training and validation data are also provided our examples. But note that **the data provided along with the examples are of limited amount, and should not be used to train a production model.**
 
 Similar to the `input.json` used in `ener` mode, training json is also divided into `model`, `learning_rate`, `loss` and `training`. Most keywords remains the same as `ener` mode, and their meaning can be found [here](train-se-e2-a.md). To fit a tensor, one need to modify `model.fitting_net` and `loss`.
 
diff --git a/doc/train/training.md b/doc/train/training.md
index 42b2f90fab..2a08cacf7a 100644
--- a/doc/train/training.md
+++ b/doc/train/training.md
@@ -59,4 +59,5 @@ plt.show()
 Checkpoints will be written to files with prefix `save_ckpt` every `save_freq` training steps. 
 
 ## Warning
-It is warned that the example water data (in folder `examples/water/data`) is of very limited amount, is provided only for testing purpose, and should not be used to train a productive model.
+It is warned that the example water data (in folder `examples/water/data`) is of very limited amount, is provided only for testing purpose, and should not be used to train a production model.
+