Fine-Tuning BERT on Twitter and Reddit Data in Luganda and English

Enhanced Labeling Technique for Reddit Text and Fine-Tuned Longformer Models for Classifying Depression Severity in English and Luganda

Depression is a global burden and one of the most challenging mental health conditions to control. E

Abdelelta/Luganda-whisper-fine-tuning

BERT Fine-tuning For Arabic Text Summarization

Fine-tuning a pretrained BERT model is the state of the art method for extractive/abstractive text summarization, in this paper we showcase how this fine-tuning method can be applied to the Arabic language to both construct the first documented model for abstractiv

demekeendalie/Fine-tuning-bert-model-for-amharic-news-classification

This project demonstrates how to fine-tune a pretrained BERT model contained in huggingface "Davlan/

Sentiment analysis in Tourism: Fine-tuning BERT or sentence embeddings concatenation?

Undoubtedly that the Bidirectional Encoder representations from Transformers is the most powerful te

Fine‐Tuning BERT Models for Multiclass Amharic News Document Categorization

Bidirectional encoder representation from transformer (BERT) models are increasingly being employed