update model card README.md

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 33.88429752066116
+      value: 0.34415584415584416
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,9 +32,9 @@ 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: 0.7409
-- Wer Ortho: 34.9784
-- Wer: 33.8843
+- Loss: 0.7429
+- Wer Ortho: 35.7804
+- Wer: 0.3442
 
 ## Model description
 
@@ -64,15 +64,15 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer     |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
-| 0.0066        | 14.29 | 200  | 0.6693          | 35.1635   | 33.1169 |
-| 0.0008        | 28.57 | 400  | 0.7409          | 34.9784   | 33.8843 |
+| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
+| 0.0065        | 14.29 | 200  | 0.6740          | 34.6083   | 0.3241 |
+| 0.0009        | 28.57 | 400  | 0.7429          | 35.7804   | 0.3442 |
 
 
 ### Framework versions
 
-- Transformers 4.31.0.dev0
+- Transformers 4.32.0.dev0
 - Pytorch 2.0.0
 - Datasets 2.1.0
 - Tokenizers 0.13.3