End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 12.706474693048317
+      value: 11.566999381680064
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ 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 atcosim dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2855
-- Wer: 12.7065
+- Loss: 0.2832
+- Wer: 11.5670
 
 ## Model description
 
@@ -66,8 +66,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.0122        | 3.1949 | 1000 | 0.2859          | 11.9733 |
-| 0.0013        | 6.3898 | 2000 | 0.2855          | 12.7065 |
+| 0.0131        | 3.1949 | 1000 | 0.2830          | 11.9115 |
+| 0.0012        | 6.3898 | 2000 | 0.2832          | 11.5670 |
 
 
 ### Framework versions