Update README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.3252656434474616
+      value: 0.3447461629279811
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,9 +31,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8008
-- Wer Ortho: 0.3523
-- Wer: 0.3253
+- Loss: 0.0007
+- Wer Ortho: 0.3479333744602097
+- Wer:  0.3447461629279811
 
 ## Model description
 
@@ -67,16 +67,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
-| 1.593         | 1.79  | 50   | 1.0054          | 0.5003    | 0.4185 |
-| 0.3982        | 3.57  | 100  | 0.7250          | 0.4121    | 0.3554 |
-| 0.2075        | 5.36  | 150  | 0.6898          | 0.4226    | 0.3518 |
-| 0.0957        | 7.14  | 200  | 0.6909          | 0.4028    | 0.3371 |
-| 0.0412        | 8.93  | 250  | 0.7296          | 0.3695    | 0.3300 |
-| 0.0186        | 10.71 | 300  | 0.7522          | 0.3627    | 0.3270 |
-| 0.008         | 12.5  | 350  | 0.7703          | 0.3584    | 0.3288 |
-| 0.0049        | 14.29 | 400  | 0.7756          | 0.3553    | 0.3294 |
-| 0.0032        | 16.07 | 450  | 0.7889          | 0.3516    | 0.3235 |
-| 0.0023        | 17.86 | 500  | 0.8008          | 0.3523    | 0.3253 |
+| 0.0007         | 17.86  | 500   | 0.6448453664779663          | 0.3479333744602097    | 0.3447461629279811 |
+
 
 
 ### Framework versions