Create README.md

README.md

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+# News Relevancy Classifiers
+
+## FinBERT-ft-v3
+
+![FinBERT Badge](https://img.shields.io/badge/Model-FinBERT--ft--v4-blue)
+
+### Model Description
+
+- **Architecture**: `bert-base-finnish-cased-v1`  
+- **Fine-tuning task**: Four-class news-headline relevancy classification  
+- **Dataset**: ~225 Finnish headlines (2024–2025) manually labeled into:
+  - 0 — Not Relevant  
+  - 1 — Least Relevant  
+  - 2 — Highly Relevant  
+  - 3 — Most Relevant  
+- **HF Repo**: [`cloud0day3/finbert-ft-v3`](https://huggingface.co/cloud0day3/finbert-ft-v3) (latest v4 checkpoint)  
+- **Date Trained**: 2025-06-06  
+
+#### Model Inputs
+
+- A raw Finnish headline (string), truncated/padded to 96 tokens.  
+- Tokenization handled by the bundled `vocab.txt` + `tokenizer_config.json` + `special_tokens_map.json`.
+
+#### Model Outputs
+
+- A single integer label (0–3). Mapped to human-readable categories:
+  ```python
+  LABELS = {
+      0: "Not Relevant",
+      1: "Least Relevant",
+      2: "Highly Relevant",
+      3: "Most Relevant"
+  }