End of training

README.md

@@ -25,7 +25,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 55.53053384554245
+      value: 55.874950324546305
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,9 +35,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 13 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0174
-- Wer Ortho: 75.7912
-- Wer: 55.5305
+- Loss: 1.0276
+- Wer Ortho: 75.4162
+- Wer: 55.8750
 
 ## Model description
 
@@ -70,7 +70,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer Ortho | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
-| 0.0213        | 9.4118 | 800  | 1.0174          | 75.7912   | 55.5305 |
+| 0.0175        | 9.4118 | 800  | 1.0276          | 75.4162   | 55.8750 |
 
 
 ### Framework versions