Different binary accuracy score of the proposed XLNet and BERT models for different hyperparameter values.

Different binary accuracy score of the proposed XLNet and BERT models for different hyperparameter values.

<p>(The table’s columns are Learning Rate, Maximum Length, XLNet Accuray and BERT Accuracy).</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Tanjim Taharat Aurpa (11250554) (author)
مؤلفون آخرون:	Md. Shoaib Ahmed (19832197) (author), Md. Mahbubur Rahman (4068862) (author), Md. Golam Moazzam (19832200) (author)
منشور في:	2024
الموضوعات:	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
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

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