Hugging Face's logo

saxenagauravhf
/
distilhubert-finetuned-gtzan

Audio Classification
Transformers
Safetensors
hubert
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Community
saxenagauravhf commited on
Commit
2db5775
•
1 Parent(s): 67d366a

End of training

Browse files
Files changed (2) hide show
  1. README.md +34 -24
  2. model.safetensors +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
- value: 0.84
26
  ---
27
 
28
  <!-- 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. -->
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: 0.7755
36
- - Accuracy: 0.84
37
 
38
  ## Model description
39
 
@@ -59,33 +59,43 @@ The following hyperparameters were used during training:
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: 20
63
  - mixed_precision_training: Native AMP
64
 
65
  ### Training results
66
 
67
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
68
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
69
- | 2.2322 | 1.0 | 57 | 2.1521 | 0.37 |
70
- | 1.7413 | 2.0 | 114 | 1.6606 | 0.47 |
71
- | 1.3543 | 3.0 | 171 | 1.2698 | 0.69 |
72
- | 0.9436 | 4.0 | 228 | 1.0440 | 0.71 |
73
- | 0.7976 | 5.0 | 285 | 0.8338 | 0.79 |
74
- | 0.6615 | 6.0 | 342 | 0.6933 | 0.84 |
75
- | 0.5743 | 7.0 | 399 | 0.6180 | 0.84 |
76
- | 0.4349 | 8.0 | 456 | 0.5931 | 0.84 |
77
- | 0.2949 | 9.0 | 513 | 0.5794 | 0.85 |
78
- | 0.2274 | 10.0 | 570 | 0.5901 | 0.84 |
79
- | 0.1067 | 11.0 | 627 | 0.6496 | 0.81 |
80
- | 0.104 | 12.0 | 684 | 0.6921 | 0.82 |
81
- | 0.0781 | 13.0 | 741 | 0.6653 | 0.83 |
82
- | 0.0245 | 14.0 | 798 | 0.6621 | 0.84 |
83
- | 0.0144 | 15.0 | 855 | 0.7015 | 0.82 |
84
- | 0.0104 | 16.0 | 912 | 0.7109 | 0.85 |
85
- | 0.007 | 17.0 | 969 | 0.7472 | 0.84 |
86
- | 0.0163 | 18.0 | 1026 | 0.7603 | 0.86 |
87
- | 0.0039 | 19.0 | 1083 | 0.7710 | 0.85 |
88
- | 0.0035 | 20.0 | 1140 | 0.7755 | 0.84 |
 
 
 
 
 
 
 
 
 
 
89
 
90
 
91
  ### Framework versions
 
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
+ value: 0.82
26
  ---
27
 
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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: 2.2594
36
+ - Accuracy: 0.82
37
 
38
  ## Model description
39
 
 
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: 30
63
  - mixed_precision_training: Native AMP
64
 
65
  ### Training results
66
 
67
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
68
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
69
+ | 2.2669 | 1.0 | 57 | 2.2222 | 0.29 |
70
+ | 1.9365 | 2.0 | 114 | 1.8485 | 0.53 |
71
+ | 1.5115 | 3.0 | 171 | 1.4544 | 0.64 |
72
+ | 1.1314 | 4.0 | 228 | 1.1404 | 0.7 |
73
+ | 0.9473 | 5.0 | 285 | 0.9750 | 0.7 |
74
+ | 0.8026 | 6.0 | 342 | 0.8381 | 0.76 |
75
+ | 0.669 | 7.0 | 399 | 0.7231 | 0.81 |
76
+ | 0.5026 | 8.0 | 456 | 0.7019 | 0.8 |
77
+ | 0.3179 | 9.0 | 513 | 0.6318 | 0.81 |
78
+ | 0.2934 | 10.0 | 570 | 0.6551 | 0.81 |
79
+ | 0.1709 | 11.0 | 627 | 0.6041 | 0.81 |
80
+ | 0.1502 | 12.0 | 684 | 0.7066 | 0.84 |
81
+ | 0.0626 | 13.0 | 741 | 0.6859 | 0.84 |
82
+ | 0.0184 | 14.0 | 798 | 0.7444 | 0.8 |
83
+ | 0.0345 | 15.0 | 855 | 0.9701 | 0.8 |
84
+ | 0.0034 | 16.0 | 912 | 1.0236 | 0.83 |
85
+ | 0.0014 | 17.0 | 969 | 1.1226 | 0.81 |
86
+ | 0.0811 | 18.0 | 1026 | 1.2570 | 0.81 |
87
+ | 0.0002 | 19.0 | 1083 | 1.3850 | 0.81 |
88
+ | 0.0 | 20.0 | 1140 | 1.6715 | 0.82 |
89
+ | 0.0 | 21.0 | 1197 | 1.8665 | 0.8 |
90
+ | 0.1033 | 22.0 | 1254 | 1.8919 | 0.79 |
91
+ | 0.047 | 23.0 | 1311 | 1.9730 | 0.82 |
92
+ | 0.0 | 24.0 | 1368 | 2.1126 | 0.81 |
93
+ | 0.0 | 25.0 | 1425 | 2.1545 | 0.79 |
94
+ | 0.0 | 26.0 | 1482 | 2.2609 | 0.79 |
95
+ | 0.0 | 27.0 | 1539 | 2.2284 | 0.81 |
96
+ | 0.0 | 28.0 | 1596 | 2.2374 | 0.81 |
97
+ | 0.0 | 29.0 | 1653 | 2.2590 | 0.82 |
98
+ | 0.0 | 30.0 | 1710 | 2.2594 | 0.82 |
99
 
100
 
101
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:e55a3f6b7fd28c44c0b54efcec094fdd1dc7e9a87bfea610af0685e6ad7879c5
3
  size 94771728
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7b7aa4991bfbece946adf0852a14084a2bb823a4858d7fa695c1d1d5530389e0
3
  size 94771728