Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.02654867256637168
+      value: 0.08771929824561403
 ---
 
 <!-- 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: 2.6794
-- Accuracy: 0.0265
+- Loss: 2.6443
+- Accuracy: 0.0877
 
 ## Model description
 
@@ -61,22 +61,13 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 10
+- num_epochs: 1
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.6388        | 0.98  | 14   | 2.6441          | 0.0619   |
-| 2.6348        | 1.96  | 28   | 2.6521          | 0.0973   |
-| 2.6138        | 2.95  | 42   | 2.6635          | 0.0708   |
-| 2.6282        | 4.0   | 57   | 2.6674          | 0.0708   |
-| 2.6106        | 4.98  | 71   | 2.6727          | 0.0531   |
-| 2.6046        | 5.96  | 85   | 2.6719          | 0.0531   |
-| 2.5935        | 6.95  | 99   | 2.6757          | 0.0442   |
-| 2.5884        | 8.0   | 114  | 2.6778          | 0.0265   |
-| 2.5791        | 8.98  | 128  | 2.6785          | 0.0265   |
-| 2.5789        | 9.82  | 140  | 2.6794          | 0.0265   |
+| 2.6438        | 1.0   | 16   | 2.6443          | 0.0877   |
 
 
 ### Framework versions