Update README.md

README.md

@@ -24,7 +24,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 14.908497701319886
+      value: 00.00
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,8 +34,8 @@ 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: 0.3398
-- Wer: 14.9085
+- Loss: 0.00
+- Wer: 00.00
 
 ## Model description
 
@@ -68,11 +68,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.3656        | 0.2   | 1000 | 0.3898          | 17.6497 |
-| 0.2745        | 1.2   | 2000 | 0.3617          | 15.7746 |
-| 0.1659        | 2.2   | 3000 | 0.3525          | 15.3083 |
-| 0.1847        | 3.2   | 4000 | 0.3427          | 14.7869 |
-| 0.1593        | 4.2   | 5000 | 0.3398          | 14.9085 |
+| 0.00        | 0.2   | 1000 | 0.00          | 00.00 |
 
 
 ### Framework versions