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
The score is the combined weighted score and you can read more about it here: 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