nsomabalint / poets_QA

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poets_QA

Evaluation

You can test the bot with these pipelines:

rasa test nlu --config config_spacy.yml --cross-validation --runs 1 --folds 6

rasa test nlu --config config_bert.yml --cross-validation --runs 1 --folds 6

Explanation:

--config : Switch between the config files, that you currently want to test.

--cross-validation : To test your model more extensively, use cross-validation, which automatically creates multiple train/test splits. (~80% train/~20% test split)

--runs : Change the number of runs.

--folds : Number of test in a run.

Here, we compare scores for intent classification, side by side.

config precision accuracy f1-score
config_bert.yml 0.833 0.867 0.837
config_spacy.yml 0.801 0.821 0.796

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Language:Jupyter Notebook 98.0%Language:Python 2.0%