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feature: end-to-end NER pipeline #664
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chakravarthik27
approved these changes
Jul 24, 2023
ArshaanNazir
approved these changes
Jul 24, 2023
I am stuck trying to update the |
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Description
This PR aims at providing an end to end pipeline to perform the following workflow:
This way the user is able to train a model and tests behaviours that matter using
langtest
. Based on the outcome of those testslangtest
will augment the original training set with samples on which the model failed. The model will then be retrained on this augmented dataset and compared to the original on the generated set of tests.It for now supports the transformers library and the NER task. The datasets can be passed in
conll
orcsv
format.Usage
To use the end to end pipeline you can run the following one liner with your own parameters:
for example:
Checklist:
pydantic
for typing when/where necessary.