End of training

README.md

@@ -24,7 +24,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 9.541984732824428
+      value: 8.66957470010905
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,8 +34,8 @@ 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 arabic dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0988
-- Wer: 9.5420
+- Loss: 0.0834
+- Wer: 8.6696
 
 ## Model description
 
@@ -68,7 +68,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.0527        | 0.76  | 500  | 0.0988          | 9.5420 |
+| 0.0232        | 0.76  | 500  | 0.0834          | 8.6696 |
 
 
 ### Framework versions