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benchmarks/MOABB/README.md

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@@ -375,9 +375,8 @@ The [table above](#-datasets-and-recipes) provides these values for each compati
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When it comes to training the model utilizing the leave-one-subject-out approach, simply employ the `--train_mode leave-one-subject-out` flag.
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By default, model training is performed on GPU. However, in case you do not have any GPU available on your machine, you can train models on CPU by specifying the `--device cpu` flag.
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**Notes:**
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- By default, model training is performed on GPU. However, in case you do not have any GPU available on your machine, you can train models on CPU by specifying the `--device cpu` flag.
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- To monitor the status of the hyperparameter optimization, simply enter the following command: `orion status --all`. Ensure that you have added the necessary variables required by orion to your bash environment. You can achieve this by executing the following code within your terminal:
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```bash

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