Can we Fine-tune or Pre-train it? about bert-extractive-summarizer HOT 6 OPEN

I have already gone through the above link that you shared. But could not get any thing good for "extractive" summarization , fine-tune. Do you have any docs/notebook, etc.?

from bert-extractive-summarizer.

This library abstracts on top of this by performing different summarizations on top of embeddings.

I pretrained the model with custom dataset and when passed this model as an input parameter (custom_model) am getting this error "IndexError: index -2 is out of bounds for dimension 0 with size 1". when I debug this am not getting the hiddenstates list much. plz help me on this.

from bert-extractive-summarizer.

You definitely can through the transformers library: https://github.com/huggingface/transformers .
This library abstracts on top of this by performing different summarizations on top of embeddings.

from bert-extractive-summarizer.

please tell how to fine tune by freezing the layers and adding our own NN

from bert-extractive-summarizer.

I have already gone through the above link that you shared. But could not get any thing good for "extractive" summarization , fine-tune. Do you have any docs/notebook, etc.?

Still can not understand how to fine-tune model for "extractive" text summarizaiton task

Besides, one link I found is about abstractive summarization
https://huggingface.co/course/chapter7/5?fw=tf

Any suggestion?

from bert-extractive-summarizer.

Same here,

I can only find this tutorial from hugging face webpage
https://huggingface.co/course/chapter7/5?fw=tf

Which is for abstractive summarization fine-tuning (if I understand correctly)

Any suggestions?

from bert-extractive-summarizer.