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With your model selected, go to the
tab.Status title Inspect After each iteration, a new point will be drawn on the line plot. You can deduce from it that, when the curve starts to flatten, the model quality is converging, and probably it's not going to learn much more. If the curve is not stable, you have to continue training the model as it is still learning.
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Evaluate model performance
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Prepare your data file with the following columns:
Text: Your raw text instances
Label: Label annotations for each text
With your model selected, go to the
tab.Status title Evaluate Upload your file
Select the text column and label column
As a result, you’ll see a table with different performance metrics and a list of text instances (Errors) where the predicted label and the annotated label mismatch below it.
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Use a different dataset for evaluation than the one you used for training. |
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In case the results are not sufficient, there might be multiple reasons:
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Next:
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