Skip to main content

All Questions

Filter by
Sorted by
Tagged with
1 vote
1 answer
997 views

How pre-trained weights in the BERT can help the fine tuning task?

I have been using the BERT architecture implemented by the Huggingface library for my sentence classification task. Although, I read the paper (and related papers) and the result of my experiments is ...
Adel's user avatar
  • 295
1 vote
0 answers
302 views

Does image data augmentation make sense when fine-tuning a transformer-based encoder-decoder model (Donut) on a small dataset (~100 samples)?

I am trying to fine-tune Donut model on ~100 (training) labelled data samples (pairs of images and json files). (Donut is a transformer-based encoder-decoder model, the encoder encodes images and the ...
nim.py's user avatar
  • 270
0 votes
1 answer
94 views

Cross lingual transfer for summarisation using XLM-R

I have a question. There's a library (uses this paper) which suggests in its cross lingual part that if the XLM-R is trained in english dataset, it can be directly applied to datasets in other ...
lazytux's user avatar
  • 101