Update README.md

README.md

@@ -1,9 +1,30 @@
 ---
+base_model: facebook/wav2vec2-xls-r-300m
 language: 
   - uk
 license: "apache-2.0"
+tags:
+- automatic-speech-recognition
 datasets:
 - mozilla-foundation/common_voice_10_0
+metrics:
+  - wer
+model-index:
+  - name: w2v-xls-r-uk
+    results:
+      - task:
+          name: Automatic Speech Recognition
+          type: automatic-speech-recognition
+        dataset:
+          name: common_voice_10_0
+          type: common_voice_10_0
+          config: uk
+          split: test
+          args: uk
+        metrics:
+          - name: Wer
+            type: wer
+            value: 0.0463
 ---
 
 🚨🚨🚨 **ATTENTION!** 🚨🚨🚨
@@ -12,10 +33,13 @@ datasets:
 
 ---
 
-🇺🇦 Join Ukrainian Speech Recognition Community - https://t.me/speech_recognition_uk
+## Community
 
-⭐ See other Ukrainian models - https://github.com/egorsmkv/speech-recognition-uk
+- Discord: https://discord.gg/yVAjkBgmt4
+- Speech Recognition: https://t.me/speech_recognition_uk
+- Speech Synthesis: https://t.me/speech_synthesis_uk
 
+## Overview
 
 This model has apostrophes and hyphens.
 
@@ -29,8 +53,3 @@ Metrics:
 | CV7 (with LM) | 0.0169 | 0.0706 |
 | CV10 (no LM) | 0.0412 | 0.2206 |
 | CV10 (with LM) | 0.0118 | 0.0463 |
-
-More:
-
-- The same model, but trained on noisy data: https://huggingface.co/Yehor/wav2vec2-xls-r-300m-uk-with-small-lm-noisy
-- Traced JIT version: https://huggingface.co/Yehor/wav2vec2-xls-r-300m-uk-traced-jit