sanchit-gandhi HF staff commited on
Commit
f23ddd2
1 Parent(s): 8c86ea8

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +84 -0
README.md ADDED
@@ -0,0 +1,84 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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: distilhubert-finetuned-gtzan
11
+ results:
12
+ - task:
13
+ name: Audio Classification
14
+ type: audio-classification
15
+ dataset:
16
+ name: GTZAN
17
+ type: marsyas/gtzan
18
+ config: all
19
+ split: train
20
+ args: all
21
+ metrics:
22
+ - name: Accuracy
23
+ type: accuracy
24
+ value: 0.82
25
+ ---
26
+
27
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
28
+ should probably proofread and complete it, then remove this comment. -->
29
+
30
+ # distilhubert-finetuned-gtzan
31
+
32
+ This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the GTZAN dataset.
33
+ It achieves the following results on the evaluation set:
34
+ - Loss: 0.5716
35
+ - Accuracy: 0.82
36
+
37
+ ## Model description
38
+
39
+ More information needed
40
+
41
+ ## Intended uses & limitations
42
+
43
+ More information needed
44
+
45
+ ## Training and evaluation data
46
+
47
+ More information needed
48
+
49
+ ## Training procedure
50
+
51
+ ### Training hyperparameters
52
+
53
+ The following hyperparameters were used during training:
54
+ - learning_rate: 5e-05
55
+ - train_batch_size: 8
56
+ - eval_batch_size: 8
57
+ - seed: 42
58
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
59
+ - lr_scheduler_type: linear
60
+ - lr_scheduler_warmup_ratio: 0.1
61
+ - num_epochs: 10
62
+
63
+ ### Training results
64
+
65
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
66
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
67
+ | 1.7297 | 1.0 | 113 | 1.8011 | 0.44 |
68
+ | 1.24 | 2.0 | 226 | 1.3045 | 0.64 |
69
+ | 0.9805 | 3.0 | 339 | 0.9888 | 0.7 |
70
+ | 0.6853 | 4.0 | 452 | 0.7508 | 0.79 |
71
+ | 0.4502 | 5.0 | 565 | 0.6224 | 0.81 |
72
+ | 0.3015 | 6.0 | 678 | 0.5411 | 0.83 |
73
+ | 0.2244 | 7.0 | 791 | 0.6293 | 0.78 |
74
+ | 0.3108 | 8.0 | 904 | 0.5857 | 0.81 |
75
+ | 0.1644 | 9.0 | 1017 | 0.5355 | 0.83 |
76
+ | 0.1198 | 10.0 | 1130 | 0.5716 | 0.82 |
77
+
78
+
79
+ ### Framework versions
80
+
81
+ - Transformers 4.30.0.dev0
82
+ - Pytorch 2.1.0.dev20230607+cu121
83
+ - Datasets 2.13.1.dev0
84
+ - Tokenizers 0.13.3