End of training

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 32.10594315245478
+      value: 0.31912144702842377
 ---
 
 <!-- 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: 0.7033
-- Wer Ortho: 32.3688
-- Wer: 32.1059
+- Loss: 0.6954
+- Wer Ortho: 0.3210
+- Wer: 0.3191
 
 ## Model description
 
@@ -66,9 +66,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch   | Step | Validation Loss | Wer Ortho | Wer     |
-|:-------------:|:-------:|:----:|:---------------:|:---------:|:-------:|
-| 0.0007        | 17.2414 | 500  | 0.7033          | 32.3688   | 32.1059 |
+| Training Loss | Epoch   | Step | Validation Loss | Wer Ortho | Wer    |
+|:-------------:|:-------:|:----:|:---------------:|:---------:|:------:|
+| 0.0008        | 17.2414 | 500  | 0.6954          | 0.3210    | 0.3191 |
 
 
 ### Framework versions