Hugging Face's logo

ditwoo
/
whisper-tiny-finetuned-gtzan

Audio Classification
Transformers
PyTorch
Safetensors
whisper
Generated from Trainer
Inference Endpoints
Model card Files Community
2
ditwoo commited on
Commit
226fbf8
·
1 Parent(s): 7919425

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +91 -0
README.md ADDED
@@ -0,0 +1,91 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ tags:
4
+ - generated_from_trainer
5
+ datasets:
6
+ - marsyas/gtzan
7
+ metrics:
8
+ - accuracy
9
+ model-index:
10
+ - name: whisper-tiny-finetuned-gtzan
11
+ results: []
12
+ ---
13
+
14
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
15
+ should probably proofread and complete it, then remove this comment. -->
16
+
17
+ # whisper-tiny-finetuned-gtzan
18
+
19
+ This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the GTZAN dataset.
20
+ It achieves the following results on the evaluation set:
21
+ - Loss: 0.4916
22
+ - Accuracy: 0.91
23
+
24
+ ## Model description
25
+
26
+ More information needed
27
+
28
+ ## Intended uses & limitations
29
+
30
+ More information needed
31
+
32
+ ## Training and evaluation data
33
+
34
+ More information needed
35
+
36
+ ## Training procedure
37
+
38
+ ### Training hyperparameters
39
+
40
+ The following hyperparameters were used during training:
41
+ - learning_rate: 5e-05
42
+ - train_batch_size: 16
43
+ - eval_batch_size: 16
44
+ - seed: 42
45
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
46
+ - lr_scheduler_type: linear
47
+ - lr_scheduler_warmup_ratio: 0.1
48
+ - num_epochs: 30
49
+
50
+ ### Training results
51
+
52
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
53
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
54
+ | 2.1202 | 1.0 | 57 | 2.0148 | 0.49 |
55
+ | 1.4611 | 2.0 | 114 | 1.3965 | 0.62 |
56
+ | 0.9725 | 3.0 | 171 | 0.8726 | 0.82 |
57
+ | 0.4971 | 4.0 | 228 | 0.7578 | 0.76 |
58
+ | 0.2255 | 5.0 | 285 | 0.7502 | 0.74 |
59
+ | 0.2803 | 6.0 | 342 | 0.5457 | 0.84 |
60
+ | 0.2234 | 7.0 | 399 | 0.7014 | 0.8 |
61
+ | 0.0845 | 8.0 | 456 | 0.4250 | 0.89 |
62
+ | 0.0395 | 9.0 | 513 | 0.5069 | 0.9 |
63
+ | 0.0438 | 10.0 | 570 | 0.4916 | 0.91 |
64
+ | 0.0442 | 11.0 | 627 | 0.7312 | 0.86 |
65
+ | 0.002 | 12.0 | 684 | 0.4753 | 0.9 |
66
+ | 0.0769 | 13.0 | 741 | 0.8024 | 0.86 |
67
+ | 0.0015 | 14.0 | 798 | 0.6354 | 0.9 |
68
+ | 0.001 | 15.0 | 855 | 0.5665 | 0.91 |
69
+ | 0.0008 | 16.0 | 912 | 0.5537 | 0.9 |
70
+ | 0.0009 | 17.0 | 969 | 0.6251 | 0.88 |
71
+ | 0.0007 | 18.0 | 1026 | 0.6641 | 0.9 |
72
+ | 0.0006 | 19.0 | 1083 | 0.5746 | 0.9 |
73
+ | 0.0006 | 20.0 | 1140 | 0.5893 | 0.9 |
74
+ | 0.0006 | 21.0 | 1197 | 0.5636 | 0.91 |
75
+ | 0.0005 | 22.0 | 1254 | 0.5785 | 0.91 |
76
+ | 0.0118 | 23.0 | 1311 | 0.5674 | 0.91 |
77
+ | 0.0005 | 24.0 | 1368 | 0.5915 | 0.91 |
78
+ | 0.0585 | 25.0 | 1425 | 0.5690 | 0.91 |
79
+ | 0.0004 | 26.0 | 1482 | 0.6043 | 0.9 |
80
+ | 0.008 | 27.0 | 1539 | 0.5911 | 0.91 |
81
+ | 0.0208 | 28.0 | 1596 | 0.5973 | 0.91 |
82
+ | 0.0004 | 29.0 | 1653 | 0.6009 | 0.91 |
83
+ | 0.0004 | 30.0 | 1710 | 0.6035 | 0.91 |
84
+
85
+
86
+ ### Framework versions
87
+
88
+ - Transformers 4.29.2
89
+ - Pytorch 2.0.0
90
+ - Datasets 2.13.1
91
+ - Tokenizers 0.13.3