Update README.md

README.md

@@ -8,6 +8,31 @@ sdk_version: 6.19.0
 python_version: '3.13'
 app_file: app.py
 pinned: false
+license: mit
+short_description: ASR benchmark for Fon (low-resource African tonal language)
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# 🎤 FonBench — ASR Benchmark and Adaptation for Fon
+
+Interactive leaderboard comparing six pre-trained multilingual ASR models on the **Fon language** (low-resource tonal language of Benin, ~8M speakers), and four adaptation strategies (LoRA and full fine-tuning) on the best model.
+
+## 📊 Phase 1 — Zero-shot evaluation
+Six state-of-the-art multilingual ASR models evaluated without adaptation: **MMS-1b**, **XLSR-53**, **OmniASR-CTC**, **AfriHuBERT**, **SeamlessM4T**, **Whisper-small**.
+
+## 🏆 Phase 2 — Adaptation
+Two adaptation strategies (**LoRA** at ranks 8 and 32, **Full Fine-Tuning** at LR 1e-5 and 5e-5) applied to the best zero-shot model.
+
+**Best result: WER 19.27% (Full Fine-Tuning, LR 5e-5) — a 64-point improvement over zero-shot.**
+
+## 🔗 Resources
+
+- 📦 Models on HuggingFace Hub: *(coming soon)*
+- 💻 Source code on GitHub: *(coming soon)*
+- 📈 Experiment tracking on W&B: [FonBench project](https://wandb.ai/inesassiahounkponou-esgis/FonBench)
+- 📄 Dataset: [alaleye/fon](https://huggingface.co/datasets/alaleye/fon) (CC-BY-4.0)
+
+## 👤 Author
+**Inès Assia HOUNKPONOU** — Master IA, ESGIS Bénin, 2026
+Supervisor: **Prof. Fréjus LALEYE**
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference