End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.014473684210526316
+      value: 0.013157894736842105
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the vivos dataset.
 It achieves the following results on the evaluation set:
-- Loss: 4.0319
-- Accuracy: 0.0145
+- Loss: 5.9359
+- Accuracy: 0.0132
 
 ## Model description
 
@@ -68,9 +68,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| No log        | 0.9990 | 364  | 4.0319          | 0.0145   |
-| 3.1633        | 1.9979 | 728  | 4.7572          | 0.0013   |
-| 0.9306        | 2.9969 | 1092 | 5.4901          | 0.0      |
+| No log        | 0.9990 | 364  | 4.0521          | 0.0      |
+| 3.0541        | 1.9979 | 728  | 5.0064          | 0.0013   |
+| 0.7657        | 2.9969 | 1092 | 5.9359          | 0.0132   |
 
 
 ### Framework versions

runs/Aug10_20-56-50_3bd5a2a2942d/events.out.tfevents.1723323414.3bd5a2a2942d.25.0

@@ -1,3 +1,3 @@
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-size 9880
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+size 10557

runs/Aug10_20-56-50_3bd5a2a2942d/events.out.tfevents.1723330143.3bd5a2a2942d.25.1

@@ -0,0 +1,3 @@
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