Hugging Face's logo

jkorstad
/
distilhubert-finetuned-gtzan

Audio Classification
Transformers
PyTorch
TensorBoard
Safetensors
hubert
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
jkorstad commited on
Commit
de44280
•
1 Parent(s): cf6ef34

End of training

Browse files
Files changed (2) hide show
  1. README.md +24 -19
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
- value: 0.8
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: 1.0712
36
- - Accuracy: 0.8
37
 
38
  ## Model description
39
 
@@ -52,34 +52,39 @@ More information needed
52
  ### Training hyperparameters
53
 
54
  The following hyperparameters were used during training:
55
- - learning_rate: 0.0008
56
- - train_batch_size: 16
57
- - eval_batch_size: 16
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: 0.2
62
- - num_epochs: 10
63
 
64
  ### Training results
65
 
66
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
67
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
68
- | 0.8762 | 1.0 | 57 | 1.6973 | 0.53 |
69
- | 1.575 | 2.0 | 114 | 1.7040 | 0.47 |
70
- | 1.5454 | 3.0 | 171 | 1.6838 | 0.55 |
71
- | 1.4241 | 4.0 | 228 | 1.3264 | 0.61 |
72
- | 0.8853 | 5.0 | 285 | 1.1286 | 0.66 |
73
- | 0.8654 | 6.0 | 342 | 1.0538 | 0.67 |
74
- | 0.5314 | 7.0 | 399 | 1.0161 | 0.7 |
75
- | 0.4237 | 8.0 | 456 | 1.0739 | 0.74 |
76
- | 0.1364 | 9.0 | 513 | 1.2816 | 0.72 |
77
- | 0.0263 | 10.0 | 570 | 1.0712 | 0.8 |
 
 
 
 
 
78
 
79
 
80
  ### Framework versions
81
 
82
- - Transformers 4.34.0.dev0
83
  - Pytorch 2.0.1+cu118
84
  - Datasets 2.14.5
85
  - Tokenizers 0.14.0
 
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
+ value: 0.9
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: 0.6062
36
+ - Accuracy: 0.9
37
 
38
  ## Model description
39
 
 
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: 15
63
 
64
  ### Training results
65
 
66
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
67
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
68
+ | 2.0776 | 1.0 | 113 | 1.9082 | 0.48 |
69
+ | 1.3768 | 2.0 | 226 | 1.3052 | 0.63 |
70
+ | 1.0741 | 3.0 | 339 | 0.9721 | 0.79 |
71
+ | 0.778 | 4.0 | 452 | 0.8452 | 0.76 |
72
+ | 0.6383 | 5.0 | 565 | 0.5935 | 0.85 |
73
+ | 0.3313 | 6.0 | 678 | 0.5947 | 0.81 |
74
+ | 0.3514 | 7.0 | 791 | 0.6064 | 0.8 |
75
+ | 0.0922 | 8.0 | 904 | 0.5759 | 0.81 |
76
+ | 0.1757 | 9.0 | 1017 | 0.4683 | 0.88 |
77
+ | 0.0496 | 10.0 | 1130 | 0.5958 | 0.86 |
78
+ | 0.0141 | 11.0 | 1243 | 0.5512 | 0.87 |
79
+ | 0.0345 | 12.0 | 1356 | 0.6297 | 0.86 |
80
+ | 0.0079 | 13.0 | 1469 | 0.6009 | 0.89 |
81
+ | 0.0072 | 14.0 | 1582 | 0.6069 | 0.9 |
82
+ | 0.007 | 15.0 | 1695 | 0.6062 | 0.9 |
83
 
84
 
85
  ### Framework versions
86
 
87
+ - Transformers 4.35.0.dev0
88
  - Pytorch 2.0.1+cu118
89
  - Datasets 2.14.5
90
  - Tokenizers 0.14.0
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:189109751f3754960054214f1c6a1657b0cfa75c147abbbf5d981141adf5ce13
3
  size 94783376
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:06471512652be57fab6e2ee0f3920a38f617323d42aac901ae9827a6b831baf6
3
  size 94783376