End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.82
+      value: 0.83
 ---
 
 <!-- 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/hubert-base-ls960](https://huggingface.co/facebook/hubert-base-ls960) on the GTZAN dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9359
-- Accuracy: 0.82
+- Loss: 1.0283
+- Accuracy: 0.83
 
 ## Model description
 
@@ -63,24 +63,28 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.2494        | 1.0   | 113  | 2.1568          | 0.36     |
-| 1.7795        | 2.0   | 226  | 1.7904          | 0.38     |
-| 1.5798        | 3.0   | 339  | 1.6144          | 0.5      |
-| 1.6354        | 4.0   | 452  | 1.2584          | 0.66     |
-| 0.9675        | 5.0   | 565  | 1.1453          | 0.64     |
-| 0.995         | 6.0   | 678  | 0.9740          | 0.67     |
-| 1.2052        | 7.0   | 791  | 1.0552          | 0.68     |
-| 0.7028        | 8.0   | 904  | 0.8980          | 0.74     |
-| 0.7472        | 9.0   | 1017 | 0.9431          | 0.72     |
-| 0.3181        | 10.0  | 1130 | 0.8750          | 0.75     |
-| 0.3948        | 11.0  | 1243 | 1.0047          | 0.73     |
-| 0.3507        | 12.0  | 1356 | 0.8054          | 0.81     |
-| 0.1785        | 13.0  | 1469 | 0.7866          | 0.84     |
-| 0.2453        | 14.0  | 1582 | 0.8960          | 0.82     |
-| 0.2832        | 15.0  | 1695 | 1.0770          | 0.81     |
-| 0.2132        | 16.0  | 1808 | 0.9359          | 0.82     |
+| Training Loss | Epoch | Step | Accuracy | Validation Loss |
+|:-------------:|:-----:|:----:|:--------:|:---------------:|
+| 2.2494        | 1.0   | 113  | 0.36     | 2.1568          |
+| 1.7795        | 2.0   | 226  | 0.38     | 1.7904          |
+| 1.5798        | 3.0   | 339  | 0.5      | 1.6144          |
+| 1.6354        | 4.0   | 452  | 0.66     | 1.2584          |
+| 0.9675        | 5.0   | 565  | 0.64     | 1.1453          |
+| 0.995         | 6.0   | 678  | 0.67     | 0.9740          |
+| 1.2052        | 7.0   | 791  | 0.68     | 1.0552          |
+| 0.7028        | 8.0   | 904  | 0.74     | 0.8980          |
+| 0.7472        | 9.0   | 1017 | 0.72     | 0.9431          |
+| 0.3181        | 10.0  | 1130 | 0.75     | 0.8750          |
+| 0.3948        | 11.0  | 1243 | 0.73     | 1.0047          |
+| 0.3507        | 12.0  | 1356 | 0.81     | 0.8054          |
+| 0.1785        | 13.0  | 1469 | 0.84     | 0.7866          |
+| 0.2453        | 14.0  | 1582 | 0.82     | 0.8960          |
+| 0.2832        | 15.0  | 1695 | 0.81     | 1.0770          |
+| 0.2132        | 16.0  | 1808 | 0.82     | 0.9359          |
+| 0.1398        | 17.0  | 1921 | 0.81     | 1.0800          |
+| 0.292         | 18.0  | 2034 | 0.84     | 0.9867          |
+| 0.0181        | 19.0  | 2147 | 0.82     | 1.0585          |
+| 0.0399        | 20.0  | 2260 | 1.0283   | 0.83            |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7bcbfef063c7e66038a80d3292eb4d1549321ce2b8e1d26ccb58cc55fbd7e719
+oid sha256:fa4577bdae503e90582d577be81399ff5afe1335043f7d44cf6e474b1c4ac7d1
 size 378358758