End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 32.93978748524203
+      value: 0.3293978748524203
 ---
 
 <!-- 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 [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6635
-- Wer Ortho: 32.8809
-- Wer: 32.9398
+- Loss: 0.6628
+- Wer Ortho: 0.3276
+- Wer: 0.3294
 
 ## Model description
 
@@ -65,9 +65,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch   | Step | Validation Loss | Wer Ortho | Wer     |
-|:-------------:|:-------:|:----:|:---------------:|:---------:|:-------:|
-| 0.0006        | 17.8571 | 500  | 0.6635          | 32.8809   | 32.9398 |
+| Training Loss | Epoch   | Step | Validation Loss | Wer Ortho | Wer    |
+|:-------------:|:-------:|:----:|:---------------:|:---------:|:------:|
+| 0.0006        | 17.8571 | 500  | 0.6628          | 0.3276    | 0.3294 |
 
 
 ### Framework versions