End of training

README.md

@@ -2,7 +2,7 @@
 language:
 - ar
 license: apache-2.0
-base_model: openai/whisper-small
+base_model: uaepro/whisper-small-ar-2
 tags:
 - hf-asr-leaderboard
 - generated_from_trainer
@@ -25,7 +25,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 260.25560867966163
+      value: 168.22177271055537
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,10 +33,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Whisper Small ar - majed test
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 16.0 dataset.
+This model is a fine-tuned version of [uaepro/whisper-small-ar-2](https://huggingface.co/uaepro/whisper-small-ar-2) on the Common Voice 16.0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3249
-- Wer: 260.2556
+- Loss: 0.3392
+- Wer: 168.2218
 
 ## Model description
 
@@ -69,10 +69,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer      |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.3013        | 0.41  | 1000 | 0.4102          | 337.6793 |
-| 0.2533        | 0.82  | 2000 | 0.3525          | 344.5476 |
-| 0.1632        | 1.24  | 3000 | 0.3397          | 278.4185 |
-| 0.1526        | 1.65  | 4000 | 0.3249          | 260.2556 |
+| 0.1459        | 0.41  | 1000 | 0.3714          | 182.4752 |
+| 0.1378        | 0.82  | 2000 | 0.3486          | 177.9993 |
+| 0.0738        | 1.24  | 3000 | 0.3513          | 184.2939 |
+| 0.0855        | 1.65  | 4000 | 0.3392          | 168.2218 |
 
 
 ### Framework versions