Update README.md

README.md

@@ -24,7 +24,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 00.00
+      value: 15.38
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,7 +35,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_11_0 fr dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.00
-- Wer: 00.00
+- WER on `mozilla-foundation/common_voice_11_0` (with normalization): 15.38 %
 
 ## Model description
 
@@ -64,13 +64,6 @@ The following hyperparameters were used during training:
 - training_steps: 5000
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Wer     |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.00        | 0.2   | 1000 | 0.00          | 00.00 |
-
-
 ### Framework versions
 
 - Transformers 4.26.0.dev0