End of training

README.md

@@ -8,7 +8,7 @@ datasets:
 metrics:
 - accuracy
 model-index:
-- name: distilhubert-finetuned-gtzan
+- name: distilhubert-finetuned-gtzan2
   results:
   - task:
       name: Audio Classification
@@ -22,18 +22,18 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.85
+      value: 0.7125
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# distilhubert-finetuned-gtzan
+# distilhubert-finetuned-gtzan2
 
 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: 0.6405
-- Accuracy: 0.85
+- Loss: 1.5220
+- Accuracy: 0.7125
 
 ## Model description
 
@@ -52,9 +52,9 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- learning_rate: 0.001
+- train_batch_size: 32
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -66,21 +66,21 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.2068        | 1.0   | 57   | 2.1236          | 0.41     |
-| 1.635         | 2.0   | 114  | 1.5471          | 0.57     |
-| 1.19          | 3.0   | 171  | 1.1878          | 0.68     |
-| 1.0898        | 4.0   | 228  | 1.0190          | 0.71     |
-| 0.73          | 5.0   | 285  | 0.8323          | 0.73     |
-| 0.6549        | 6.0   | 342  | 0.7693          | 0.76     |
-| 0.4567        | 7.0   | 399  | 0.7017          | 0.8      |
-| 0.379         | 8.0   | 456  | 0.7082          | 0.79     |
-| 0.2807        | 9.0   | 513  | 0.6414          | 0.81     |
-| 0.1668        | 10.0  | 570  | 0.6464          | 0.83     |
-| 0.167         | 11.0  | 627  | 0.6404          | 0.85     |
-| 0.1125        | 12.0  | 684  | 0.6338          | 0.83     |
-| 0.0893        | 13.0  | 741  | 0.6447          | 0.86     |
-| 0.0604        | 14.0  | 798  | 0.6332          | 0.85     |
-| 0.0663        | 15.0  | 855  | 0.6405          | 0.85     |
+| 1.7489        | 1.0   | 29   | 1.4959          | 0.3875   |
+| 1.328         | 2.0   | 58   | 2.0243          | 0.35     |
+| 1.2168        | 3.0   | 87   | 1.1332          | 0.5875   |
+| 1.0299        | 4.0   | 116  | 1.4826          | 0.5375   |
+| 0.911         | 5.0   | 145  | 1.2510          | 0.625    |
+| 1.0819        | 6.0   | 174  | 1.7365          | 0.55     |
+| 0.9513        | 7.0   | 203  | 1.3000          | 0.6      |
+| 0.5687        | 8.0   | 232  | 1.0503          | 0.7125   |
+| 0.4684        | 9.0   | 261  | 1.1167          | 0.7125   |
+| 0.2836        | 10.0  | 290  | 1.5990          | 0.65     |
+| 0.138         | 11.0  | 319  | 1.2096          | 0.7375   |
+| 0.0406        | 12.0  | 348  | 1.7311          | 0.6375   |
+| 0.0341        | 13.0  | 377  | 1.7048          | 0.6375   |
+| 0.0059        | 14.0  | 406  | 1.4933          | 0.7      |
+| 0.0034        | 15.0  | 435  | 1.5220          | 0.7125   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5021900f7e08aa70c8e1a13de2a33634cfdb655281ed12b20cd70221cd696e55
+oid sha256:54e881175bfa5ef22c3c1150fce04e75159c0a0a74f95ee180694e94e292c8aa
 size 94771728