diff --git a/docs/freqai.md b/docs/freqai.md
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@@ -123,7 +123,7 @@ Mandatory parameters are marked as **Required**, which means that they are requi
| `test_size` | Fraction of data that should be used for testing instead of training.
**Datatype:** Positive float < 1.
| `shuffle` | Shuffle the training data points during training. Typically, for time-series forecasting, this is set to `False`.
**Datatype:** Boolean.
| | **Model training parameters**
-| `model_training_parameters` | A flexible dictionary that includes all parameters available by the user selected model library. For example, if the user uses `LightGBMRegressor`, this dictionary can contain any parameter available by the `LightGBMRegressor` [here](https://lightgbm.readthedocs.io/en/latest/pythonapi/lightgbm.LGBMRegressor.html) (external website). If the user selects a different model, this dictionary can contain any parameter from that model.
**Datatype:** Dictionary.
+| `model_training_parameters` | A flexible dictionary that includes all parameters available by the user selected model library. For example, if the user uses `LightGBMRegressor`, this dictionary can contain any parameter available by the `LightGBMRegressor` [here](https://lightgbm.readthedocs.io/en/latest/pythonapi/lightgbm.LGBMRegressor.html) (external website). If the user selects a different model, such as `PPO` from stable_baselines3, this dictionary can contain any parameter from that model.
**Datatype:** Dictionary.
| `n_estimators` | The number of boosted trees to fit in regression.
**Datatype:** Integer.
| `learning_rate` | Boosting learning rate during regression.
**Datatype:** Float.
| `n_jobs`, `thread_count`, `task_type` | Set the number of threads for parallel processing and the `task_type` (`gpu` or `cpu`). Different model libraries use different parameter names.
**Datatype:** Float.