End of training

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: ntu-spml/distilhubert
+base_model: sravan-gorugantu/model2024-05-20
 tags:
 - generated_from_trainer
 datasets:
@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9619219277734476
+      value: 0.9649862000117446
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # model2024-05-22
 
-This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the audiofolder dataset.
+This model is a fine-tuned version of [sravan-gorugantu/model2024-05-20](https://huggingface.co/sravan-gorugantu/model2024-05-20) on the audiofolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1213
-- Accuracy: 0.9619
+- Loss: 0.1062
+- Accuracy: 0.9650
 
 ## Model description
 
@@ -67,11 +67,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.1677        | 1.0   | 481  | 0.1836          | 0.9435   |
-| 0.1544        | 2.0   | 962  | 0.1485          | 0.9512   |
-| 0.1404        | 3.0   | 1443 | 0.1452          | 0.9528   |
-| 0.1366        | 4.0   | 1925 | 0.1295          | 0.9587   |
-| 0.1079        | 5.0   | 2405 | 0.1213          | 0.9619   |
+| 0.1566        | 1.0   | 532  | 0.1501          | 0.9494   |
+| 0.1596        | 2.0   | 1064 | 0.1235          | 0.9583   |
+| 0.1086        | 3.0   | 1596 | 0.1336          | 0.9549   |
+| 0.1029        | 4.0   | 2129 | 0.1095          | 0.9643   |
+| 0.095         | 5.0   | 2660 | 0.1062          | 0.9650   |
 
 
 ### Framework versions