End of training

README.md

@@ -20,7 +20,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.75
+      value: 0.77
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,8 +30,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model was trained from scratch on the gtzan dataset.
 It achieves the following results on the evaluation set:
-- Accuracy: 0.75
-- Loss: 0.7487
+- Loss: 0.7854
+- Accuracy: 0.77
 
 ## Model description
 
@@ -57,7 +57,7 @@ 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: 15
 
 ### Training results
 
@@ -73,6 +73,11 @@ The following hyperparameters were used during training:
 | 0.223         | 8.0   | 904  | 0.75     | 0.8463          |
 | 0.1162        | 9.0   | 1017 | 0.77     | 0.7808          |
 | 0.0863        | 10.0  | 1130 | 0.75     | 0.7487          |
+| 0.1357        | 11.0  | 1243 | 0.8839   | 0.76            |
+| 0.0632        | 12.0  | 1356 | 0.7509   | 0.76            |
+| 0.0342        | 13.0  | 1469 | 0.8219   | 0.77            |
+| 0.0277        | 14.0  | 1582 | 0.7691   | 0.8             |
+| 0.0307        | 15.0  | 1695 | 0.7854   | 0.77            |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:61a34da7a9781ae84537b3625c9392e145666ea072bd945d2b186a8925775900
+oid sha256:0b74c711b8233743261c12b3a1e496373ad927384bfc6248b5a9143e3def442d
 size 94783885