End of training

README.md

@@ -11,7 +11,7 @@ metrics:
 - recall
 - f1
 model-index:
-- name: distilhubert-finetuned-speech_commands-finetuned-gtzan
+- name: distilhubert-finetuned-speech_commands-finetuned-englishalphabets-classification
   results:
   - task:
       name: Audio Classification
@@ -20,31 +20,31 @@ model-index:
       name: audiofolder
       type: audiofolder
       config: default
-      split: test
+      split: validation
       args: default
     metrics:
     - name: Precision
       type: precision
-      value: 0.9759184555734861
+      value: 0.9855379188712521
     - name: Recall
       type: recall
-      value: 0.9749126053876208
+      value: 0.9827160493827161
     - name: F1
       type: f1
-      value: 0.9749296122020006
+      value: 0.9825011002108681
 ---
 
 <!-- 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. -->
 
-# distilhubert-finetuned-speech_commands-finetuned-gtzan
+# distilhubert-finetuned-speech_commands-finetuned-englishalphabets-classification
 
 This model is a fine-tuned version of [imrajeshkr/distilhubert-finetuned-speech_commands](https://huggingface.co/imrajeshkr/distilhubert-finetuned-speech_commands) on the audiofolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0934
-- Precision: 0.9759
-- Recall: 0.9749
-- F1: 0.9749
+- Loss: 0.0563
+- Precision: 0.9855
+- Recall: 0.9827
+- F1: 0.9825
 
 ## Model description
 
@@ -77,11 +77,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
-| 0.2713        | 1.0   | 1216 | 0.2523          | 0.9172    | 0.9267 | 0.9166 |
-| 0.137         | 2.0   | 2432 | 0.1119          | 0.9685    | 0.9667 | 0.9664 |
-| 0.0295        | 3.0   | 3648 | 0.0977          | 0.9726    | 0.9703 | 0.9701 |
-| 0.0037        | 4.0   | 4864 | 0.0956          | 0.9743    | 0.9733 | 0.9732 |
-| 0.052         | 5.0   | 6080 | 0.0934          | 0.9759    | 0.9749 | 0.9749 |
+| 0.2886        | 1.0   | 1216 | 0.2477          | 0.9098    | 0.9284 | 0.9127 |
+| 0.1426        | 2.0   | 2432 | 0.0792          | 0.9835    | 0.9802 | 0.9795 |
+| 0.0678        | 3.0   | 3648 | 0.0601          | 0.9827    | 0.9790 | 0.9780 |
+| 0.0062        | 4.0   | 4864 | 0.0601          | 0.9848    | 0.9815 | 0.9812 |
+| 0.027         | 5.0   | 6080 | 0.0563          | 0.9855    | 0.9827 | 0.9825 |
 
 
 ### Framework versions