End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.83
+      value: 0.81
 ---
 
 <!-- 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: 0.6209
-- Accuracy: 0.83
+- Loss: 0.7321
+- Accuracy: 0.81
 
 ## Model description
 
@@ -53,8 +53,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 7
-- eval_batch_size: 7
+- train_batch_size: 14
+- eval_batch_size: 14
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -65,14 +65,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.9413        | 1.0   | 129  | 1.7302          | 0.53     |
-| 1.25          | 2.0   | 258  | 1.2193          | 0.67     |
-| 1.1947        | 3.0   | 387  | 0.9074          | 0.73     |
-| 0.6238        | 4.0   | 516  | 0.7667          | 0.77     |
-| 0.4228        | 5.0   | 645  | 0.7407          | 0.76     |
-| 0.3519        | 6.0   | 774  | 0.6948          | 0.8      |
-| 0.2624        | 7.0   | 903  | 0.5938          | 0.85     |
-| 0.3789        | 8.0   | 1032 | 0.6209          | 0.83     |
+| 2.0183        | 1.0   | 65   | 1.9568          | 0.42     |
+| 1.7065        | 2.0   | 130  | 1.4569          | 0.57     |
+| 1.2068        | 3.0   | 195  | 1.1678          | 0.72     |
+| 0.9065        | 4.0   | 260  | 0.9721          | 0.74     |
+| 0.8115        | 5.0   | 325  | 0.8377          | 0.8      |
+| 0.7854        | 6.0   | 390  | 0.7654          | 0.84     |
+| 0.4885        | 7.0   | 455  | 0.7544          | 0.8      |
+| 0.5956        | 8.0   | 520  | 0.7321          | 0.81     |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d63f963a5b05d4c6a71f6a1d7f1e44b89ab19e5de22d5be1c988080ad57c5825
+oid sha256:3eb121dadf8367ea69f3960bbb4a407f87eddae0f69f8234ba7e284eafee1ee4
 size 94783376