Readme update

README.adoc

@@ -686,9 +686,10 @@ Here is a list of all command line arguments:
 --mixup, Whether to use mixup for training.
 --upsampling_ratio, Balance train data and upsample minority classes. Values between 0 and 1. Defaults to 0.
 --upsampling_mode, Upsampling mode. Can be 'repeat', 'mean' or 'smote'. Defaults to 'repeat'.
+--model_format, Model output format. Can be 'tflite', 'raven' or 'both'. Defaults to 'tflite'.
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 +
-. After training, you can use the custom trained classifier with the `--classifier` argument of the `analyze.py` script.
+. After training, you can use the custom trained classifier with the `--classifier` argument of the `analyze.py` script. If you want to use the custom classifier in Raven, make sure to set `--model_format raven`.
 +
 NOTE: Adjusting hyperparameters (e.g., number of hidden units, learning rate, etc.) can have a big impact on the performance of the classifier.
 We recommend trying different hyperparameter settings.