End of training

README.md

@@ -22,18 +22,18 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.02654867256637168
+      value: 0.09734513274336283
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# audio_classification (default from Skill Academy, I just learn and run the program provided)
+# audio_classification
 
 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: 2.6736
-- Accuracy: 0.0265
+- Loss: 2.6440
+- Accuracy: 0.0973
 
 ## Model description
 
@@ -67,19 +67,19 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| No log        | 0.8    | 3    | 2.6313          | 0.1062   |
-| No log        | 1.8667 | 7    | 2.6508          | 0.0708   |
-| 2.6379        | 2.9333 | 11   | 2.6587          | 0.0531   |
-| 2.6379        | 4.0    | 15   | 2.6631          | 0.0442   |
-| 2.6379        | 4.8    | 18   | 2.6712          | 0.0354   |
-| 2.6277        | 5.8667 | 22   | 2.6724          | 0.0354   |
-| 2.6277        | 6.9333 | 26   | 2.6745          | 0.0177   |
-| 2.6257        | 8.0    | 30   | 2.6736          | 0.0265   |
+| No log        | 0.8    | 3    | 2.6403          | 0.0708   |
+| No log        | 1.8667 | 7    | 2.6379          | 0.0796   |
+| 2.6342        | 2.9333 | 11   | 2.6463          | 0.0619   |
+| 2.6342        | 4.0    | 15   | 2.6517          | 0.0354   |
+| 2.6342        | 4.8    | 18   | 2.6522          | 0.0177   |
+| 2.6238        | 5.8667 | 22   | 2.6494          | 0.0619   |
+| 2.6238        | 6.9333 | 26   | 2.6460          | 0.0796   |
+| 2.622         | 8.0    | 30   | 2.6440          | 0.0973   |
 
 
 ### Framework versions
 
 - Transformers 4.42.4
-- Pytorch 2.3.1+cu121
+- Pytorch 2.4.0+cu121
 - Datasets 2.21.0
 - Tokenizers 0.19.1