JoshEe00 commited on
Commit
4613b4c
1 Parent(s): 351129d

End of training

Browse files
Files changed (2) hide show
  1. README.md +85 -0
  2. model.safetensors +1 -1
README.md ADDED
@@ -0,0 +1,85 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: ntu-spml/distilhubert
4
+ tags:
5
+ - generated_from_trainer
6
+ datasets:
7
+ - marsyas/gtzan
8
+ metrics:
9
+ - accuracy
10
+ model-index:
11
+ - name: distilhubert-finetuned-gtzan
12
+ results:
13
+ - task:
14
+ name: Audio Classification
15
+ type: audio-classification
16
+ dataset:
17
+ name: GTZAN
18
+ type: marsyas/gtzan
19
+ config: all
20
+ split: train
21
+ args: all
22
+ metrics:
23
+ - name: Accuracy
24
+ type: accuracy
25
+ value: 0.85
26
+ ---
27
+
28
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
29
+ should probably proofread and complete it, then remove this comment. -->
30
+
31
+ # distilhubert-finetuned-gtzan
32
+
33
+ This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the GTZAN dataset.
34
+ It achieves the following results on the evaluation set:
35
+ - Loss: 0.5424
36
+ - Accuracy: 0.85
37
+
38
+ ## Model description
39
+
40
+ More information needed
41
+
42
+ ## Intended uses & limitations
43
+
44
+ More information needed
45
+
46
+ ## Training and evaluation data
47
+
48
+ More information needed
49
+
50
+ ## Training procedure
51
+
52
+ ### Training hyperparameters
53
+
54
+ The following hyperparameters were used during training:
55
+ - learning_rate: 5e-05
56
+ - train_batch_size: 8
57
+ - eval_batch_size: 8
58
+ - seed: 42
59
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
60
+ - lr_scheduler_type: linear
61
+ - lr_scheduler_warmup_ratio: 0.1
62
+ - num_epochs: 10
63
+
64
+ ### Training results
65
+
66
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
67
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
68
+ | 1.8717 | 1.0 | 113 | 1.8361 | 0.51 |
69
+ | 1.1904 | 2.0 | 226 | 1.2066 | 0.68 |
70
+ | 1.0318 | 3.0 | 339 | 0.9901 | 0.75 |
71
+ | 0.7158 | 4.0 | 452 | 0.8814 | 0.74 |
72
+ | 0.4286 | 5.0 | 565 | 0.6483 | 0.83 |
73
+ | 0.355 | 6.0 | 678 | 0.5949 | 0.82 |
74
+ | 0.2753 | 7.0 | 791 | 0.5007 | 0.85 |
75
+ | 0.1318 | 8.0 | 904 | 0.6292 | 0.82 |
76
+ | 0.1558 | 9.0 | 1017 | 0.5098 | 0.86 |
77
+ | 0.0797 | 10.0 | 1130 | 0.5424 | 0.85 |
78
+
79
+
80
+ ### Framework versions
81
+
82
+ - Transformers 4.38.2
83
+ - Pytorch 2.2.1+cu121
84
+ - Datasets 2.19.1
85
+ - Tokenizers 0.15.2
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:57521fe13eacef6f87e91b3af4760006f4eb0ded6c4ec1459212e47ef7b1d00b
3
  size 94771728
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:741cac5a7ce82305c1640965899ad9ca589f0398f5d5d52016c99e618d8818c0
3
  size 94771728