Hugging Face's logo

Sandiago21
/
hubert-large-ls960-ft-finetuned-gtzan

Audio Classification
Transformers
PyTorch
TensorBoard
Safetensors
hubert
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
2
Sandiago21 commited on
Commit
656f62a
•
1 Parent(s): 828a840

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +23 -23
README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
18
 
19
  This model is a fine-tuned version of [facebook/hubert-large-ls960-ft](https://huggingface.co/facebook/hubert-large-ls960-ft) on the GTZAN dataset.
20
  It achieves the following results on the evaluation set:
21
- - Loss: nan
22
- - Accuracy: 0.8
23
 
24
  ## Model description
25
 
@@ -38,7 +38,7 @@ More information needed
38
  ### Training hyperparameters
39
 
40
  The following hyperparameters were used during training:
41
- - learning_rate: 5e-05
42
  - train_batch_size: 2
43
  - eval_batch_size: 2
44
  - seed: 42
@@ -53,26 +53,26 @@ The following hyperparameters were used during training:
53
 
54
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
55
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
56
- | 2.2564 | 1.0 | 112 | 2.2597 | 0.37 |
57
- | 1.6529 | 2.0 | 225 | 1.8087 | 0.27 |
58
- | 1.4922 | 3.0 | 337 | 1.4067 | 0.48 |
59
- | 1.3749 | 4.0 | 450 | 1.3045 | 0.55 |
60
- | 0.9226 | 5.0 | 562 | 1.1160 | 0.64 |
61
- | 0.8591 | 6.0 | 675 | 0.8981 | 0.69 |
62
- | 0.5988 | 7.0 | 787 | 0.9898 | 0.71 |
63
- | 1.0143 | 8.0 | 900 | 1.0200 | 0.69 |
64
- | 0.464 | 9.0 | 1012 | 0.5678 | 0.82 |
65
- | 0.6969 | 10.0 | 1125 | 0.7087 | 0.81 |
66
- | 0.5547 | 11.0 | 1237 | 0.7278 | 0.75 |
67
- | 0.2638 | 12.0 | 1350 | 0.7599 | 0.8 |
68
- | 0.3504 | 13.0 | 1462 | 0.6778 | 0.85 |
69
- | 0.106 | 14.0 | 1575 | 0.7504 | 0.82 |
70
- | 0.3392 | 15.0 | 1687 | 0.7514 | 0.84 |
71
- | 0.1516 | 16.0 | 1800 | 0.8678 | 0.8 |
72
- | 0.1324 | 17.0 | 1912 | 0.7644 | 0.84 |
73
- | 0.0827 | 18.0 | 2025 | nan | 0.8 |
74
- | 0.45 | 19.0 | 2137 | nan | 0.8 |
75
- | 0.2407 | 19.91 | 2240 | nan | 0.8 |
76
 
77
 
78
  ### Framework versions
 
18
 
19
  This model is a fine-tuned version of [facebook/hubert-large-ls960-ft](https://huggingface.co/facebook/hubert-large-ls960-ft) on the GTZAN dataset.
20
  It achieves the following results on the evaluation set:
21
+ - Loss: 0.8531
22
+ - Accuracy: 0.78
23
 
24
  ## Model description
25
 
 
38
  ### Training hyperparameters
39
 
40
  The following hyperparameters were used during training:
41
+ - learning_rate: 2e-05
42
  - train_batch_size: 2
43
  - eval_batch_size: 2
44
  - seed: 42
 
53
 
54
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
55
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
56
+ | 2.279 | 1.0 | 112 | 2.2924 | 0.08 |
57
+ | 2.0905 | 2.0 | 225 | 2.0931 | 0.31 |
58
+ | 1.7503 | 3.0 | 337 | 1.6857 | 0.46 |
59
+ | 1.7021 | 4.0 | 450 | 1.5041 | 0.54 |
60
+ | 1.3693 | 5.0 | 562 | 1.4453 | 0.53 |
61
+ | 1.1515 | 6.0 | 675 | 1.2720 | 0.62 |
62
+ | 1.0195 | 7.0 | 787 | 1.2036 | 0.61 |
63
+ | 0.8957 | 8.0 | 900 | 1.1265 | 0.62 |
64
+ | 0.9654 | 9.0 | 1012 | 1.0117 | 0.68 |
65
+ | 1.0166 | 10.0 | 1125 | 0.9691 | 0.68 |
66
+ | 0.8868 | 11.0 | 1237 | 1.0249 | 0.69 |
67
+ | 0.8822 | 12.0 | 1350 | 0.9859 | 0.69 |
68
+ | 0.808 | 13.0 | 1462 | 0.8248 | 0.75 |
69
+ | 0.7107 | 14.0 | 1575 | 0.9660 | 0.71 |
70
+ | 0.7964 | 15.0 | 1687 | 0.8939 | 0.73 |
71
+ | 0.69 | 16.0 | 1800 | 0.8490 | 0.75 |
72
+ | 0.4321 | 17.0 | 1912 | 0.8282 | 0.77 |
73
+ | 0.4942 | 18.0 | 2025 | 0.8220 | 0.78 |
74
+ | 0.4275 | 19.0 | 2137 | 0.8435 | 0.79 |
75
+ | 0.4661 | 19.91 | 2240 | 0.8531 | 0.78 |
76
 
77
 
78
  ### Framework versions