Update README.md
Browse files
README.md
CHANGED
|
@@ -1,15 +1,32 @@
|
|
| 1 |
---
|
| 2 |
-
title:
|
| 3 |
-
emoji:
|
| 4 |
colorFrom: blue
|
| 5 |
-
colorTo:
|
| 6 |
sdk: gradio
|
| 7 |
-
sdk_version:
|
| 8 |
-
python_version: '3.
|
| 9 |
app_file: app.py
|
| 10 |
pinned: false
|
| 11 |
license: cc-by-4.0
|
| 12 |
short_description: 'AfroBR-LangBench: base vs adapted · sociolinguistic safety'
|
| 13 |
---
|
| 14 |
|
| 15 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
---
|
| 2 |
+
title: AfroBR-LangBench Eval
|
| 3 |
+
emoji: 🌍
|
| 4 |
colorFrom: blue
|
| 5 |
+
colorTo: indigo
|
| 6 |
sdk: gradio
|
| 7 |
+
sdk_version: 4.44.0
|
| 8 |
+
python_version: '3.10'
|
| 9 |
app_file: app.py
|
| 10 |
pinned: false
|
| 11 |
license: cc-by-4.0
|
| 12 |
short_description: 'AfroBR-LangBench: base vs adapted · sociolinguistic safety'
|
| 13 |
---
|
| 14 |
|
| 15 |
+
# AfroBR-LangBench — Evaluation Space
|
| 16 |
+
|
| 17 |
+
Side-by-side evaluation of base vs fine-tuned model on Afro-Brazilian Portuguese sociolinguistic safety.
|
| 18 |
+
|
| 19 |
+
| | Base | Adapted |
|
| 20 |
+
|---|---|---|
|
| 21 |
+
| **Model** | Llama-4-Scout-17B-16E-Instruct | AfroBR-LangBench LoRA (AutoScientist) |
|
| 22 |
+
| **Training** | — | 400 examples · 10 phenomena · Grade A |
|
| 23 |
+
|
| 24 |
+
**7-dimension rubric:** phenomenon identification · non-stigmatizing explanation · respectful normalization · terminology accuracy · source grounding · meaning preservation · hallucination control
|
| 25 |
+
|
| 26 |
+
**Secrets required:** `ANTHROPIC_API_KEY` · `HF_TOKEN`
|
| 27 |
+
|
| 28 |
+
**Variables:** `ZEROGPU_DURATION_SECONDS=120` · `ENABLE_MODEL_B_GPU=1`
|
| 29 |
+
|
| 30 |
+
- **Adapter:** [Fernandosr85/afrobr-langbench-adapter](https://huggingface.co/Fernandosr85/afrobr-langbench-adapter)
|
| 31 |
+
- **Dataset:** [Fernandosr85/adaption-pt-afro-brasileiro-qa](https://huggingface.co/datasets/Fernandosr85/adaption-pt-afro-brasileiro-qa)
|
| 32 |
+
- **Challenge:** [AutoScientist Challenge 2026](https://adaptionlabs.ai/blog/autoscientist-challenge)
|