End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.3547815820543093
+      value: 0.36186540731995276
 ---
 
 <!-- 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: 0.7800
-- Wer Ortho: 0.3510
-- Wer: 0.3548
+- Loss: 0.7102
+- Wer Ortho: 0.3646
+- Wer: 0.3619
 
 ## Model description
 
@@ -66,7 +66,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
-| 0.0           | 35.71 | 500  | 0.7800          | 0.3510    | 0.3548 |
+| 0.0005        | 35.71 | 500  | 0.7102          | 0.3646    | 0.3619 |
 
 
 ### Framework versions