Comments (3)
mrvaruntandon
commented on July 19, 2024
I am also interested in knowing how we can do multi-label classification through BERT. Does it depend on the 'out' attribute in the BERTBaseUncased Class? There is a hint in the video for this repo about changing loss functions for multi-label classification. Would like to know more about from @abhishekkrthakur .
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abhishekkrthakur
commented on July 19, 2024
do you have a sample dataset?
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sahelimukherjee92
commented on July 19, 2024
@abhishekkrthakur https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge/data
with different types of toxicity. How can we train a model for this type of problem?
Thanks in advance.
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Related Issues (14)
- Getting issue while loading model HOT 6
- ModuleNotFoundError: No module named 'tokenizers.tokenizers'
- Requirement.txt is missing HOT 1
- Dataloader possible bug HOT 1
- In Dataset.py
- TypeError: _init_() got an unexpected keyword argument 'comment_text' and AttributeError: module 'config' has no attribute 'DEVICE'
- requirements.txt file is missing
- line 15 model.py HOT 1
- In file train.py line 13 (get_linear_schedule_with_warmup import)
- Loading DataParallel GPU model on CPU HOT 7
- how to train on multi classes data? HOT 1
- index out of range HOT 3
- IndexError: index ? is out of bounds for axis 0 with size ?
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