Update README.md

README.md

@@ -1,24 +1,60 @@
 ---
+language:
+- hy-AM
 license: apache-2.0
 tags:
 - automatic-speech-recognition
-- /workspace/data/hy/noizy_student_3/
+- mozilla-foundation/common_voice_8_0
 - generated_from_trainer
+- robust-speech-event
+datasets:
+- common_voice
 model-index:
-- name: ''
-  results: []
+- name: wav2vec2-xls-r-1b-hy-cv
+  results:
+  - task: 
+      type: automatic-speech-recognition
+      name: Speech Recognition
+    dataset:
+      type: mozilla-foundation/common_voice_8_0
+      name: Common Voice hy-AM
+      args: hy-AM
+    metrics:
+      - type: wer
+        value: 10.92896174863388
+        name: WER LM
+      - type: cer
+        value: 2.3773394031360646
+        name: CER LM
+  - task: 
+      name: Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Robust Speech Event - Dev Data
+      type: speech-recognition-community-v2/dev_data
+      args: hy
+    metrics:
+       - name: Test WER
+         type: wer
+         value: 19.942816297355254
+       - name: Test CER
+         type: cer
+         value: 7.332618465282714
 ---
 
+
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# 
+# Wav2Vec2-XLS-R-1b-hy
 
 This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on the /WORKSPACE/DATA/HY/NOIZY_STUDENT_3/ - NA dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.1827
 - Wer: 0.2389
 - Cer: 0.0427
+- Wer LM: 0.1093
+- Cer LM: 0.0238
 
 ## Model description