MarEzzat/Emotion-Classification-using-DistilBERT-Fine-Tuning-Process
View on GitHub ↗Related repositories →Fine-tuning a pretrained DistilBERT model on an emotion dataset containing text samples labeled with different emotions such as joy, sadness, anger, and fear. The goal was to classify these text samples into their respective emotion categories, and I evaluated the model's performance using metrics like accuracy, precision, and recall.
active 2024-09-19 → 2024-09-19 (UTC)
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Line chart, 1 days from 2024-09-19 to 2024-09-19. Pushes: 1 total, peak 1 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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| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| MarEzzat | 1 | 1 | 0 | 0 |
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