YonghaoZhao722 / distilbert-base-uncased-finetuning

This repository contains a DistilBERT model fine-tuned using the Hugging Face Transformers library on the IMDb movie review dataset. The model is trained for sentiment analysis, enabling the determination of sentiment polarity (positive or negative) within text reviews.

Date Created 2023-12-14 (11 months ago)

Commits 23 (last one 11 months ago)

Stargazers 86 (0 this week)

Watchers 1 (0 this week)

Forks 0

License gpl-3.0

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RepositoryStats indexes 585,332 repositories, of these YonghaoZhao722/distilbert-base-uncased-finetuning is ranked #321,648 (45th percentile) for total stargazers, and #536,654 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #7,954/17,144.

YonghaoZhao722/distilbert-base-uncased-finetuning is also tagged with popular topics, for these it's ranked: machine-learning (#5,088/7939), nlp (#1,562/2401), huggingface (#212/375)

Other Information

Homepage URL: https://arxiv.org/abs/1910.01108

All Topics

nlp transfomer huggingface imdb-dataset distilbert-model machine-learning

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23 commits on the default branch (main) since jan '22

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updated: 2024-10-05 @ 12:43am, id: 731515155 / R_kgDOK5oJEw