Hello, this shubham. i am using prodigy v1.10. I am training ner with custom label. i have some confusion related to traning ner.
I train my model in this following sequence:
first I, annotate using ner.manual with blank:en with only 30 senetence and train using en_core_web_md and save model with version1.
then I , annotate new 30 sentence with version1 model but using ner.correct and then train it save with new model version2 and continue this sequence .. and got very good result?
now, my doubt is how it work on 30 sentence only and giving gud result on the following sequence. but why it is not giving gud result when i am giving large amount of annotated sentence and train only one model?