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Precision, recall, and F1 score over Epochs for LastBert model.

Precision, recall, and F1 score over Epochs for LastBert model.

<p>Precision, recall, and F1 score over Epochs for LastBert model.</p>

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Bibliographic Details
Main Author: Ahmed Akib Jawad Karim (20427740) (author)
Other Authors: Kazi Hafiz Md. Asad (20685203) (author), Md. Golam Rabiul Alam (14285073) (author)
Published: 2025
Subjects:
Genetics
Biotechnology
Science Policy
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
social networking platforms
natural language processing
mental health professionals
mental health diagnosis
comprising paraphrase identification
comprehend material produced
classifying severity levels
streamlined severity classification
66 million parameters
world adhd dataset
hence advancing nlp
advanced nlp methods
adhd severity properly
model approximately 73
knowledge distillation approach
distilbert slightly outperforming
clinicalbert achieving 86
85 %, precision
knowledge distillation
85 %,
text classification
29 million
87 %,
85 %.
xlink ">
work focuses
useful tool
study shows
study emphasizes
sentiment analysis
model creation
limited conditions
kaggle notebooks
furthermore underlined
findings highlight
considerable decrease
classify degrees
based model
also used
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