Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.6133333333333333
+      value: 0.6
 ---
 
 <!-- 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 audiofolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6672
-- Accuracy: 0.6133
+- Loss: 0.6731
+- Accuracy: 0.6
 
 ## Model description
 
@@ -61,14 +61,20 @@ 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: 2
+- num_epochs: 8
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.7278        | 0.95  | 9    | 0.6692          | 0.6133   |
-| 0.6431        | 1.89  | 18   | 0.6672          | 0.6133   |
+| 0.6671        | 0.95  | 9    | 0.4106          | 0.8933   |
+| 0.674         | 2.0   | 19   | 0.6732          | 0.6      |
+| 0.7163        | 2.95  | 28   | 0.6747          | 0.6      |
+| 0.6465        | 4.0   | 38   | 0.6730          | 0.6      |
+| 0.7088        | 4.95  | 47   | 0.6730          | 0.6      |
+| 0.6445        | 6.0   | 57   | 0.6730          | 0.6      |
+| 0.7132        | 6.95  | 66   | 0.6731          | 0.6      |
+| 0.6201        | 7.58  | 72   | 0.6731          | 0.6      |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a8a79cbb040250172c188293e994cba49c8632028ed993e77bc312aac6bc52b9
+oid sha256:fcec80b46ab08683ceb6cc40e2ccff879335d09024ff7f3366cd0731ab2d0cc5
 size 378302360