Hi @JBunr,
The problem might be a conflict with the --base-model. Whenever you provide a value to that parameter, Prodigy will use its config and settings to ensure that the training "matches." You can try removing that part and see if the training follows the config you've given. This might be related to your other post here about "training that doesn't stop."