Update README.md

README.md

@@ -122,9 +122,9 @@ print("Phonetic transcription : ", transcription)
 
 'ʒə syi tʁɛ kɔ̃tɑ̃ də vu pʁezɑ̃te notʁ solysjɔ̃ puʁ fonomize dez odjo fasilmɑ̃ sa fɔ̃ksjɔn kɑ̃ mɛm tʁɛ bjɛ̃'
 
-##Test Results##:
+## Test Results:
 
-In the table below I report the Word Error Rate (WER) and the Character Error Rate (CER) of the model. I ran the evaluation script described above on other models as well (on 2021-06-17). Note that the table below may show different results from those already reported, this may have been caused due to some specificity of the other evaluation scripts used.
+In the table below, we report the Phoneme Error Rate (PER) (CER) of the model on both Common Voice and Multilingual Librispeech (using the French configs for both datasets of course), when finetuned on Common Voice train set only : 
 
 | Model | Test Set  | PER |
 | ------------- | ------------- | ------------- |