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#

fine-tuning-bert

Here are 27 public repositories matching this topic...

epnkaarrwbrwmaehlngkh`muulsamhrabkaareriiynruuekiiywkabpayyaapradisth (Artificial Intelligence - AI) aelaomedlphaasaakhnaadaihy (Large Language Models - LLMs) rwmthuenghawkh`phuuenthaan, smudbanthuekthiiaenanam, kh`rs``nailn, ekhruue`ngmuue`, chudkh`muul aelaethkhnikhkhansuungsamhrabkaarphathnaaaelaprabaetngomedl AI

  • Updated Jul 15, 2025
  • Jupyter Notebook

Successfully developed a fine-tuned BERT transformer model which can effectively perform emotion classification on any given piece of texts to identify a suitable human emotion based on semantic meaning of the text.

  • Updated Dec 13, 2022
  • Jupyter Notebook

A comprehensive guide for beginners looking to start fine-tuning BERT models for sentiment analysis on Arabic text. This project walks through the complete process of data preprocessing, model training, and evaluation, providing a beginner-friendly tutorial on how to fine-tune and deploy machine learning models for real-world applications.

  • Updated Dec 6, 2024
  • Jupyter Notebook

Successfully developed a resume classification model which can accurately classify the resume of any person into its corresponding job with a tremendously high accuracy of more than 99%.

  • Updated Dec 14, 2024
  • Jupyter Notebook

Successfully developed a text classification model to predict whether a given news text is fake or not by fine-tuning a pretrained BERT transformed model imported from Hugging Face.

  • Updated Dec 10, 2024
  • Jupyter Notebook

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