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In the case of a single label, the logic to calculate the classification probability with the `ZeroShotClassificationExplainer` (see [here](https://github.com/cdpierse/transformers-interpret/blob/v0.6…
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It's a great job. But I have a question, why do you use DualCL to perform out-of-order operation specifically for labels? This operation will not change the real label in binary classification, but it…
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I am trying to do a multi label document classification task and I want to use pretrained word vectors from fasttext as my initial model weights.
However, the labels do not get recognized as dist…
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Dear Sir,
how to calculate the precision about multi-label classification?
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My understanding of the RSNA ICH Detection task is that it is a multi-label classification task. But in the code, I found that the pseudo tag is a single heat vector. Is it possible to expose this par…
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Hi, thanks for your wonderful work. I want to know how to fuse the EFL loss with the BCE loss for multi-label classification tasks. Can you give me some suggestions?
Thanks a lot.
Best Regards!…
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When I run the 'jiant_EdgeProbing_Example.ipynb', it reports an error
> KeyError:
in the train step after display
> Creating Tasks:
semeval (SemevalTask): ./tasks/configs/semeval_conf…
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#### Sen12ms datasets evaluation (supervised models)
- document (single label). Make it more clear
- Document multi-label how the author did
- Document Sen12ms repo, 2 tasks (classification, seman…
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Hello, I am very happy to see your code. Now I have a piece of data. There are 2 types in total. One is benign data, the other is malignant data. They all have corresponding mask map labels. I want to…
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Hi , I really like the thoughts and appreciate your work .
I got some problems after pretraining the language model for classification tasks.
Only tensors were predicted but it should be labels like…