Update README.md

README.md

@@ -18,23 +18,23 @@ model-index:
     metrics:
        - name: Test WER
          type: wer
-         value: 0.103704
+         value: 0.099590
 ---
 # Wav2Vec2-Large-XLSR-53-Moroccan-Darija
 
 **wav2vec2-large-xlsr-53 new model** 
 
-- Fine-tuned on 50 hours of labeled Darija Audios extracted from MDVC corpus which contains more than 1000 hours of Moroccan Darija "ary".
+- Fine-tuned on 51 hours of labeled Darija Audios extracted from MDVC corpus which contains more than 1000 hours of Moroccan Darija "ary".
 - Fine-tuning is ongoing 24/7 to enhance accuracy.
 - We are consistently adding data to the model every day (We prefer not to add all MDVC Corpus at once as we are trying to standardize more and more the way we write the Moroccan Darija.
 
 <table><thead><tr><th><strong>Training Loss</strong></th> <th><strong>Validation</strong></th> <th><strong>Loss Wer</strong></th></tr></thead> <tbody><tr>
-<td>0.463900</td>
-<td>0.118950</td>
-<td>0.106740</td>
+<td>0.459900</td>
+<td>0.117024</td>
+<td>0.099590</td>
 </tr> </tbody></table>
 
-<i>- NB: The training Loss has gone higher because we increased mask_time_prob to 50%. Training is still on to decrease it.</i>
+<i>- PS: The training Loss has gone higher because we increased mask_time_prob to 50%. Training is still on to decrease it.</i>
 
 ## Usage