update model card README.md

README.md

@@ -22,10 +22,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.7415185783521809
+      value: 0.6510736196319018
     - name: F1
       type: f1
-      value: 0.7412464625062914
+      value: 0.5657842671346605
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,9 +35,9 @@ 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 audiofolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.2511
-- Accuracy: 0.7415
-- F1: 0.7412
+- Loss: 1.3216
+- Accuracy: 0.6511
+- F1: 0.5658
 
 ## Model description
 
@@ -71,9 +71,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.8331        | 1.0   | 688  | 1.5519          | 0.6123   | 0.6223 |
-| 0.7505        | 2.0   | 1376 | 1.3095          | 0.6947   | 0.6985 |
-| 0.5294        | 3.0   | 2064 | 1.2511          | 0.7415   | 0.7412 |
+| 2.3065        | 1.0   | 1449 | 2.3713          | 0.2991   | 0.1702 |
+| 1.6849        | 2.0   | 2898 | 1.6462          | 0.5560   | 0.4292 |
+| 1.4551        | 3.0   | 4347 | 1.3216          | 0.6511   | 0.5658 |
 
 
 ### Framework versions