End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.07079646017699115
+      value: 0.02654867256637168
 ---
 
 <!-- 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 [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the minds14 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.6553
-- Accuracy: 0.0708
+- Loss: 2.6547
+- Accuracy: 0.0265
 
 ## Model description
 
@@ -67,14 +67,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| No log        | 0.8    | 3    | 2.6481          | 0.0442   |
-| No log        | 1.8667 | 7    | 2.6468          | 0.0619   |
-| 2.6377        | 2.9333 | 11   | 2.6458          | 0.0531   |
-| 2.6377        | 4.0    | 15   | 2.6453          | 0.0619   |
-| 2.6377        | 4.8    | 18   | 2.6472          | 0.0442   |
-| 2.6267        | 5.8667 | 22   | 2.6529          | 0.0796   |
-| 2.6267        | 6.9333 | 26   | 2.6552          | 0.0796   |
-| 2.6235        | 8.0    | 30   | 2.6553          | 0.0708   |
+| No log        | 0.8    | 3    | 2.6331          | 0.0885   |
+| No log        | 1.8667 | 7    | 2.6368          | 0.0619   |
+| 2.6347        | 2.9333 | 11   | 2.6402          | 0.0619   |
+| 2.6347        | 4.0    | 15   | 2.6418          | 0.0442   |
+| 2.6347        | 4.8    | 18   | 2.6464          | 0.0442   |
+| 2.6238        | 5.8667 | 22   | 2.6510          | 0.0442   |
+| 2.6238        | 6.9333 | 26   | 2.6527          | 0.0265   |
+| 2.6204        | 8.0    | 30   | 2.6547          | 0.0265   |
 
 
 ### Framework versions