End of training

README.md

@@ -18,13 +18,13 @@ model-index:
     dataset:
       name: Common Voice 11.0
       type: mozilla-foundation/common_voice_11_0
-      config: null
+      config: ar
       split: test
       args: 'config: ar, split: test'
     metrics:
     - name: Wer
       type: wer
-      value: 15.043732872855585
+      value: 12.773732872855585
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,7 +35,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the Common Voice 11.0 dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.2119
-- Wer: 15.0437
+- Wer: 12.7737
 
 ## Model description
 
@@ -70,7 +70,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.0259        | 0.83  | 500  | 0.2119          | 15.0437 |
+| 0.0259        | 0.83  | 500  | 0.2119          | 12.7737 |
 
 
 ### Framework versions