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Mar 25, 2022 · I am currently working on fine-tuning a multi-label, multi-class sequence classification model where each sequence is classified as belonging to ...
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Sep 8, 2021 · Our team is using BERT/Roberta from the huggingface transformers library for sequence-classification (amongst other tasks).
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Nov 9, 2021 · I have been trying to fine tune the model using the instructions given in - microsoft/deberta-v3-large · Hugging Face but I am getting ...
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Jul 29, 2020 · Hi, When using the chunked self attention layer in Reformer, the attention weight matrix has got a shape which is different than using ...
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Mar 17, 2023 · The attention matrix is asymmetric because query and key matrices differ. At its core (leaving normalization constants and the multi-head ...
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Oct 29, 2021 · While I know what attention does (multiplying Q and K, scaling + softmax, multiply with V), I lack an intuitive understanding of what is ...
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Sep 20, 2021 · Hello, When using a transformer model for text classification, one usually loads a model and then uses AutoModelForSequenceClassification to ...
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Oct 9, 2022 · Problem Setup. Let's start with a single matrix X with 4 words. When these words are transformed into their token embeddings, each token will ...
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