krishianjan/Fine-Tuning-LLM-BERT-for-Multilabel-Classification
View on GitHub ↗Related repositories →This project focus on fine-tuning a BERT model for multilabel classification using the Reuters 21578 dataset and imdb dataset as well in task 1,2. The goal is to effectively classify news articles into multiple topics simultaneously.
active 2025-03-09 → 2025-03-09 (UTC)
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Line chart, 1 days from 2025-03-09 to 2025-03-09. Pushes: 2 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
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Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| krishianjan | 2 | 2 | 0 | 0 |
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Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.