End of training

README.md

@@ -24,7 +24,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 29.53271028037383
+      value: 28.22429906542056
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,9 +34,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Common Voice 13 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6365
-- Wer Ortho: 72.2136
-- Wer: 29.5327
+- Loss: 0.6483
+- Wer Ortho: 72.2910
+- Wer: 28.2243
 
 ## Model description
 
@@ -68,7 +68,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
-| 0.003         | 20.0  | 500  | 0.6365          | 72.2136   | 29.5327 |
+| 0.003         | 20.0  | 500  | 0.6483          | 72.2910   | 28.2243 |
 
 
 ### Framework versions