End of training

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.32945736434108525
+      value: 0.32881136950904394
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,9 +33,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7022
-- Wer Ortho: 32.9744
-- Wer: 0.3295
+- Loss: 0.7030
+- Wer Ortho: 0.3291
+- Wer: 0.3288
 
 ## Model description
 
@@ -68,7 +68,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch   | Step | Validation Loss | Wer Ortho | Wer    |
 |:-------------:|:-------:|:----:|:---------------:|:---------:|:------:|
-| 0.0006        | 17.8571 | 500  | 0.7022          | 32.9744   | 0.3295 |
+| 0.0006        | 17.8571 | 500  | 0.7030          | 0.3291    | 0.3288 |
 
 
 ### Framework versions