# Understanding outputs for new texcat model

**URL:** <https://support.prodi.gy/t/understanding-outputs-for-new-texcat-model/4730>\
**Category:** Uncategorized\
**Tags:** usage, textcat, spacy, training\
**Created:** [September 27, 2021, 10:17pm UTC](https://support.prodi.gy/t/understanding-outputs-for-new-texcat-model/4730 "2021-09-27T22:17:47Z")\
**Posts on this page:** 1\
**Showing post:** 2

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**Author:** ![ines](https://sea2.discourse-cdn.com/flex020/user_avatar/support.prodi.gy/ines/32/3_2.png) [@ines](https://support.prodi.gy/u/ines)\
**Post date:** [September 28, 2021, 10:08am UTC](https://support.prodi.gy/t/understanding-outputs-for-new-texcat-model/4730/2 "2021-09-28T10:08:07Z")

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Hi! The `E` refers to the epochs and `#` is the number of steps (iterations). Also see here: [Unclear what the column 'E' is outputting in the console output during training · Discussion #7731 · explosion/spaCy · GitHub](https://github.com/explosion/spaCy/discussions/7731)

The score is the combined weighted score and you can read more about it here: [https://spacy.io/usage/training#metrics](https://spacy.io/usage/training#metrics) If you're only training one component, this is typically identical to the main score reported by the component (e.g. F-score). If you're training multiple components, you can use the score weights to define what to prioritise (e.g. best text classifier + NER recall combination, and so on).

You can also use the `[training.score_weights]` block to define the scores shown in the table. The scores set by the individual components are available in the code via the `@Language.factory` decorator: [https://spacy.io/api/textcategorizer](https://spacy.io/api/textcategorizer)

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