Update README.md

README.md

@@ -9,10 +9,11 @@ tags:
 - audio
 - automatic-speech-recognition
 - speech
+- phonemize
 model-index:
-- name: Wav2Vec2-base French finetuned for phonemes by LMSSC 
+- name: Wav2Vec2-base French finetuned for phonemes by LMSSC
   results:
-  - task: 
+  - task:
       name: Speech Recognition
       type: automatic-speech-recognition
     dataset:
@@ -20,17 +21,18 @@ model-index:
       type: common_voice
       args: fr
     metrics:
-       - name: Test PER
-         type: per
-         value: 5.52
-       - name: Val PER
-         type: per
-         value: 4.31
-      
+    - name: Test PER on Common Voice FR 13.0
+      type: per
+      value: 5.52
+    - name: Test PER on Multilingual Librispeech -fr
+      type: per
+      value: 4.36
+    - name: Val PER on Common Voice FR 13.0
+      type: per
+      value: 4.31
 ---
 
 # Fine-tuned French Voxpopuli v2 wav2vec2-base model for speech-to-phoneme task in French
 
 Fine-tuned [facebook/wav2vec2-base-fr-voxpopuli-v2](https://huggingface.co/facebook/wav2vec2-base-fr-voxpopuli-v2) on French using the train and validation splits of [Common Voice v13](https://huggingface.co/datasets/mozilla-foundation/common_voice_13_0).
-When using this model, make sure that your speech input is sampled at 16kHz.
-
+When using this model, make sure that your speech input is sampled at 16kHz.