Evaluation metrics of three different multi-lable datasets for BERT and XLNet.

<p>Evaluation metrics of three different multi-lable datasets for BERT and XLNet.</p>

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Bibliographic Details
Main Author:	Tanjim Taharat Aurpa (11250554) (author)
Other Authors:	Md. Shoaib Ahmed (19832197) (author), Md. Mahbubur Rahman (4068862) (author), Md. Golam Moazzam (19832200) (author)
Published:	2024
Subjects:	Biotechnology Cancer Science Policy Biological Sciences not elsewhere classified Information Systems not elsewhere classified providing detailed guidelines generalized autoregressive pretraining dataset comprising 11 categorizing instructional text bert ), etc accomplish specific tasks label instruction category label category meticulously search allows people people &# 8217 macro average scores demonstrated unprecedented performance creating knowledge bases label instruction classification various search styles strategy &# 8217 proposed &# 8216 find sequential instructions macro average score instructnet &# 8217 label classification search engines macro f1 &# 8221 &# 8220 various topics proposed architectures performance metrics level strategy comprehensive knowledge xlnet architecture widely used study uses specialized objects preferred resource particular problems oriented learning noteworthy accomplishment multiple categories language understanding identified areas high level forthcoming improvement find solutions evaluation process daily essentials become familiar also essential 93 %, 121 observations
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