End of training

README.md

@@ -26,7 +26,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 18.722491565942047
+      value: 18.852074443128757
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -36,9 +36,9 @@ 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 Common Voice 13.0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2709
-- Wer Ortho: 36.1009
-- Wer: 18.7225
+- Loss: 0.2710
+- Wer Ortho: 36.4197
+- Wer: 18.8521
 
 ## Model description
 
@@ -71,7 +71,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer Ortho | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
-| 0.2276        | 0.7800 | 500  | 0.2709          | 36.1009   | 18.7225 |
+| 0.2277        | 0.7800 | 500  | 0.2710          | 36.4197   | 18.8521 |
 
 
 ### Framework versions