End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 55.434782608695656
+      value: 55.97826086956522
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ 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 custom dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.5113
-- Wer: 55.4348
+- Loss: 1.5115
+- Wer: 55.9783
 
 ## Model description
 
@@ -66,7 +66,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.9405        | 0.2   | 10   | 1.5113          | 55.4348 |
+| 1.0506        | 0.2   | 10   | 1.5115          | 55.9783 |
 
 
 ### Framework versions