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README.md

@@ -12,21 +12,6 @@ tags:
 - low-resource
 base_model: facebook/w2v-bert-2.0
 pipeline_tag: automatic-speech-recognition
-metrics:
-- wer
-- cer
-model-index:
-- name: badini-w2v-bert-normalized
-  results:
-  - task:
-      type: automatic-speech-recognition
-    metrics:
-    - type: wer
-      value: 26.53
-      name: WER (normalized)
-    - type: cer
-      value: 11.32
-      name: CER (normalized)
 ---
 
 # Badini Kurdish ASR — Normalized (Wav2Vec2-BERT)
@@ -36,14 +21,7 @@ Kurmanji, written in Arabic script), fine-tuned from
 [`facebook/w2v-bert-2.0`](https://huggingface.co/facebook/w2v-bert-2.0)
 with a CTC head.
 
-This repository includes a companion text-normalization module
-(`badini_normalize.py`) alongside the model, so following the usage example
-below gives normalized output: **WER 26.5%, CER 11.3%** on a 1,123-sample
-test set.
-
-For the raw acoustic model without normalization (WER 46.5%, CER 12.0% on
-2,038 samples), see
-[computeram/badini-w2v-bert](https://huggingface.co/computeram/badini-w2v-bert).
+This repository includes a companion text-normalization module (`badini_normalize.py`) alongside the model. Following the usage example below applies punctuation handling, number expansion, and character normalization to the raw model output.
 
 ## Input requirements