Update README.md

README.md

@@ -1,3 +1,49 @@
----
-license: openrail
----
+---
+license: openrail
+language:
+- am
+base_model: openai/whisper-small
+tags:
+- whisper
+- speech
+- amharic
+- asr
+- automatic-speech-recognition
+datasets:
+- mozilla-foundation/common_voice_17_0
+metrics:
+- wer
+model-index:
+- name: whisper-amharic-small-v2
+  results:
+  - task:
+      type: automatic-speech-recognition
+    dataset:
+      type: mozilla-foundation/common_voice_17_0
+      name: Common Voice 17.0
+      config: am
+      split: test
+    metrics:
+    - type: wer
+      value: 69.0
+      name: WER
+---
+
+# Whisper Amharic Small v2
+
+Fine-tuned Whisper Small model for Amharic speech recognition using Mozilla Common Voice dataset.
+
+## Performance
+- **WER**: 69% (improved from 77% in v1)
+- **Dataset**: Mozilla Common Voice Amharic
+- **Base Model**: openai/whisper-small
+
+## Usage
+```python
+from transformers import WhisperProcessor, WhisperForConditionalGeneration
+
+processor = WhisperProcessor.from_pretrained("chappM/whisper-amharic-small-v2")
+model = WhisperForConditionalGeneration.from_pretrained("chappM/whisper-amharic-small-v2")
+```
+
+Optimized for Amharic speech recognition tasks.