Update README.md

README.md

@@ -11,6 +11,9 @@ datasets:
 model-index:
 - name: Whisper Small Taiwanese
   results: []
+metrics:
+- cer
+pipeline_tag: automatic-speech-recognition
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -59,12 +62,12 @@ The following hyperparameters were used during training:
 | 0.1607        | 1.61  | 5000 | 30.1640 | 0.3840          |
 | 0.1336        | 1.77  | 5500 | 29.7573 | 0.3783          |
 | 0.1258        | 1.93  | 6000 | 29.5906 | 0.3736          |
-| 0.0725        | 2.09  | 6500 | 0.3842  | 30.3507         |
-| 0.0692        | 2.25  | 7000 | 0.3776  | 30.0973         |
-| 0.0635        | 2.41  | 7500 | 0.3740  | 29.5106         |
-| 0.053         | 2.57  | 8000 | 0.3706  | 29.0772         |
-| 0.0441        | 2.73  | 8500 | 0.3656  | 28.5238         |
-| 0.0427        | 2.89  | 9000 | 0.3658  | 29.0572         |
+| 0.0725        | 2.09  | 6500 | 30.3507 | 0.3842          |
+| 0.0692        | 2.25  | 7000 | 30.0973 | 0.3776          | 
+| 0.0635        | 2.41  | 7500 | 29.5106 | 0.3740          | 
+| 0.053         | 2.57  | 8000 | 29.0772 | 0.3706          | 
+| 0.0441        | 2.73  | 8500 | 28.5238 | 0.3656          | 
+| 0.0427        | 2.89  | 9000 | 29.0572 | 0.3658          | 
 
 
 ### Framework versions
@@ -72,4 +75,4 @@ The following hyperparameters were used during training:
 - Transformers 4.38.2
 - Pytorch 2.1.2
 - Datasets 2.18.0
-- Tokenizers 0.15.2
+- Tokenizers 0.15.2