| license: apache-2.0 | |
| language: | |
| - en | |
| - sw | |
| - uk | |
| - zh | |
| tags: | |
| - text-classification | |
| - multilingual | |
| - emotion-recognition | |
| # MMD2 — BRIGHTER Multilingual Emotion Classifiers | |
| Fine-tuned models for the **BRIGHTER** benchmark (SemEval-2025 Task 11): | |
| multilingual multi-label emotion classification. | |
| Submitted as part of the **Mining Media Data 2** course project. | |
| ## Task | |
| - **Input:** short text (tweet / comment) in one of 28 languages | |
| - **Output:** one or more emotion labels from {anger, disgust, fear, joy, sadness, surprise} | |
| - **Metric:** macro-F1 over emotion labels | |
| ## Models in this repository | |
| | Directory | Base model | | |
| |---|---| | |
| | `mbert/` | `google-bert/bert-base-multilingual-cased` | | |
| | `qwen3.5-0.8b/` | `Qwen/Qwen3.5-0.8B` | | |
| | `qwen3.5-0.8b-chinese-ft/` | `Qwen/Qwen3.5-0.8B` | | |
| | `qwen3.5-2b/` | `Qwen/Qwen3.5-2B` | | |
| | `qwen3.5-2b-chinese-ft/` | `Qwen/Qwen3.5-2B` | | |
| | `qwen3.5-4b/` | `Qwen/Qwen3.5-4B` | | |
| | `qwen3.5-4b-chinese-ft/` | `Qwen/Qwen3.5-4B` | | |
| ## Dataset | |
| [BRIGHTER (SemEval-2025 Task 11)](https://brighter-dataset.github.io/) | |