End of training

README.md

@@ -25,7 +25,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 51.95227765726681
+      value: 48.7527114967462
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,8 +35,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6514
-- Wer: 51.9523
+- Loss: 0.6783
+- Wer: 48.7527
 
 ## Model description
 
@@ -69,10 +69,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.4007        | 0.79  | 50   | 0.8228          | 97.7223 |
-| 0.0833        | 1.59  | 100  | 0.6468          | 54.3926 |
-| 0.0378        | 2.38  | 150  | 0.6573          | 50.1627 |
-| 0.0285        | 3.17  | 200  | 0.6514          | 51.9523 |
+| 0.024         | 0.79  | 50   | 0.6568          | 53.1453 |
+| 0.0154        | 1.59  | 100  | 0.6739          | 41.8655 |
+| 0.0146        | 2.38  | 150  | 0.6809          | 41.6486 |
+| 0.0097        | 3.17  | 200  | 0.6783          | 48.7527 |
 
 
 ### Framework versions

runs/Dec07_15-21-10_Merlijn/events.out.tfevents.1701958893.Merlijn.12644.1

@@ -1,3 +1,3 @@
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-size 7054
+oid sha256:1cc770e6643007519d5e314a7c859fe57292d85c312e51acd4a7031b48e1cf38
+size 8040