End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.86
+      value: 0.84
 ---
 
 <!-- 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 [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the GTZAN dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8005
-- Accuracy: 0.86
+- Loss: 0.9097
+- Accuracy: 0.84
 
 ## Model description
 
@@ -59,7 +59,7 @@ 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
-- training_steps: 2000
+- training_steps: 3000
 
 ### Training results
 
@@ -75,16 +75,26 @@ The following hyperparameters were used during training:
 | 0.3043        | 7.08  | 800  | 0.77     | 0.7279          |
 | 0.2453        | 7.96  | 900  | 0.82     | 0.6447          |
 | 0.211         | 8.85  | 1000 | 0.84     | 0.6404          |
-| 0.2268        | 9.73  | 1100 | 0.7198   | 0.77            |
-| 0.1565        | 10.62 | 1200 | 0.6704   | 0.83            |
-| 0.0694        | 11.5  | 1300 | 0.8017   | 0.83            |
-| 0.0568        | 12.39 | 1400 | 0.7841   | 0.8             |
-| 0.0441        | 13.27 | 1500 | 0.7757   | 0.81            |
-| 0.0302        | 14.16 | 1600 | 0.7819   | 0.84            |
-| 0.0116        | 15.04 | 1700 | 0.7949   | 0.83            |
-| 0.0289        | 15.93 | 1800 | 0.8057   | 0.85            |
-| 0.0115        | 16.81 | 1900 | 0.8271   | 0.83            |
-| 0.0081        | 17.7  | 2000 | 0.8005   | 0.86            |
+| 0.2268        | 9.73  | 1100 | 0.77     | 0.7198          |
+| 0.1565        | 10.62 | 1200 | 0.83     | 0.6704          |
+| 0.0694        | 11.5  | 1300 | 0.83     | 0.8017          |
+| 0.0568        | 12.39 | 1400 | 0.8      | 0.7841          |
+| 0.0441        | 13.27 | 1500 | 0.81     | 0.7757          |
+| 0.0302        | 14.16 | 1600 | 0.84     | 0.7819          |
+| 0.0116        | 15.04 | 1700 | 0.83     | 0.7949          |
+| 0.0289        | 15.93 | 1800 | 0.85     | 0.8057          |
+| 0.0115        | 16.81 | 1900 | 0.83     | 0.8271          |
+| 0.0081        | 17.7  | 2000 | 0.86     | 0.8005          |
+| 0.0124        | 18.58 | 2100 | 0.8927   | 0.8             |
+| 0.0219        | 19.47 | 2200 | 0.8126   | 0.85            |
+| 0.0161        | 20.35 | 2300 | 0.8464   | 0.85            |
+| 0.0157        | 21.24 | 2400 | 0.8459   | 0.86            |
+| 0.0039        | 22.12 | 2500 | 1.0282   | 0.8             |
+| 0.0157        | 23.01 | 2600 | 0.8649   | 0.86            |
+| 0.0119        | 23.89 | 2700 | 0.8894   | 0.85            |
+| 0.0129        | 24.78 | 2800 | 0.8624   | 0.87            |
+| 0.0124        | 25.66 | 2900 | 0.8862   | 0.85            |
+| 0.0025        | 26.55 | 3000 | 0.9097   | 0.84            |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:65e25b91375daacadfa59b81129cc82fd243b30eb77a17fa4d79a9aa68d120ac
+oid sha256:8ffe6aa149d2250d28f5c513c2b303c1053ce95f219a9cee4d784b7d7d50e250
 size 94782534