End of the training

README.md

@@ -17,12 +17,12 @@ model-index:
       name: common_voice_16_1
       type: common_voice_16_1
       config: ar
-      split: test[500:1000]
+      split: test[1000:1500]
       args: ar
     metrics:
     - name: Wer
       type: wer
-      value: 92.15686274509804
+      value: 87.11256117455139
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,9 +32,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [mayssakorbi/whisper-tiny-ar2](https://huggingface.co/mayssakorbi/whisper-tiny-ar2) on the common_voice_16_1 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9912
-- Wer Ortho: 77.8635
-- Wer: 92.1569
+- Loss: 0.9240
+- Wer Ortho: 77.8656
+- Wer: 87.1126
 
 ## Model description
 
@@ -69,7 +69,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
-| 0.5668        | 0.4   | 50   | 0.9912          | 77.8635   | 92.1569 |
+| 0.5216        | 0.4   | 50   | 0.9240          | 77.8656   | 87.1126 |
 
 
 ### Framework versions