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Hyperparameter tuning of custom components #10447

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Hello,
Yes, you can combine the train and dev dataset to train custom components. In terms of what the most important parameters to change are: It really depends on the data you're working with. We're also currently working on a FAQ for this particular topic to help users get a better feeling/understanding about hyperparameters/sections in general. We don't have a detailed explanation about every hyperparameter for every pipeline in our docs but if you're interested you can look into the NER and Textcat component code to get a more detailed insight into how the parameters influence the model/training and decide which suits best for your use-case based on that.

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@shrinidhin
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@Sumit5194
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@Sumit5194
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@polm
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Answer selected by shrinidhin
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feat / training Feature: Training utils, Example, Corpus and converters feat / config Feature: Training config
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