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2 changes: 1 addition & 1 deletion doc/model/train-fitting-tensor.md
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Expand Up @@ -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`.

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3 changes: 2 additions & 1 deletion doc/train/training.md
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Expand Up @@ -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.