End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 60.19417475728155
+      value: 61.165048543689316
 ---
 
 <!-- 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 [Wellyowo/whisper-tiny-zh-tw](https://huggingface.co/Wellyowo/whisper-tiny-zh-tw) on the common_voice_13_0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5508
-- Wer Ortho: 59.0
-- Wer: 60.1942
+- Loss: 0.5531
+- Wer Ortho: 61.0
+- Wer: 61.1650
 
 ## Model description
 
@@ -69,7 +69,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer Ortho | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
-| 0.0086        | 0.6882 | 500  | 0.5508          | 59.0      | 60.1942 |
+| 0.0087        | 0.6882 | 500  | 0.5531          | 61.0      | 61.1650 |
 
 
 ### Framework versions