Hugging Face's logo

Lifan-Z
/
hubert-base-ls960-finetuned-gtzan

TensorBoard
Safetensors
hubert
Generated from Trainer
Eval Results
Model card Files Metrics Community
Lifan-Z commited on
Commit
fa4585c
•
1 Parent(s): 12f06d1

End of training

Browse files
Files changed (3) hide show
  1. README.md +23 -23
  2. model.safetensors +1 -1
  3. runs/Aug25_02-37-42_b9a65327ce1f/events.out.tfevents.1724553481.b9a65327ce1f.685.0 +2 -2
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 [facebook/hubert-base-ls960](https://huggingface.co/facebook/hubert-base-ls960) on the GTZAN dataset.
34
  It achieves the following results on the evaluation set:
35
- - Loss: 0.7772
36
- - Accuracy: 0.84
37
 
38
  ## Model description
39
 
@@ -66,26 +66,26 @@ The following hyperparameters were used during training:
66
 
67
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
68
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
69
- | 2.2028 | 1.0 | 90 | 2.1088 | 0.42 |
70
- | 1.7214 | 2.0 | 180 | 1.6669 | 0.43 |
71
- | 1.6141 | 3.0 | 270 | 1.5335 | 0.54 |
72
- | 0.9971 | 4.0 | 360 | 1.1589 | 0.64 |
73
- | 1.0174 | 5.0 | 450 | 0.9587 | 0.64 |
74
- | 0.7295 | 6.0 | 540 | 0.8286 | 0.69 |
75
- | 0.8034 | 7.0 | 630 | 0.8001 | 0.76 |
76
- | 0.5709 | 8.0 | 720 | 0.9846 | 0.73 |
77
- | 0.4724 | 9.0 | 810 | 0.6829 | 0.79 |
78
- | 0.5161 | 10.0 | 900 | 0.9728 | 0.72 |
79
- | 0.4247 | 11.0 | 990 | 0.7745 | 0.78 |
80
- | 0.2696 | 12.0 | 1080 | 0.5330 | 0.87 |
81
- | 0.1403 | 13.0 | 1170 | 0.7202 | 0.83 |
82
- | 0.3434 | 14.0 | 1260 | 0.8506 | 0.82 |
83
- | 0.2754 | 15.0 | 1350 | 0.6707 | 0.85 |
84
- | 0.152 | 16.0 | 1440 | 0.8752 | 0.83 |
85
- | 0.233 | 17.0 | 1530 | 0.5098 | 0.9 |
86
- | 0.1169 | 18.0 | 1620 | 0.7069 | 0.86 |
87
- | 0.1667 | 19.0 | 1710 | 0.7760 | 0.84 |
88
- | 0.0691 | 20.0 | 1800 | 0.7772 | 0.84 |
89
 
90
 
91
  ### Framework versions
 
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
+ value: 0.86
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 [facebook/hubert-base-ls960](https://huggingface.co/facebook/hubert-base-ls960) on the GTZAN dataset.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 0.6560
36
+ - Accuracy: 0.86
37
 
38
  ## Model description
39
 
 
66
 
67
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
68
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
69
+ | 2.1778 | 1.0 | 90 | 2.1185 | 0.42 |
70
+ | 1.7477 | 2.0 | 180 | 1.6950 | 0.5 |
71
+ | 1.6626 | 3.0 | 270 | 1.4481 | 0.49 |
72
+ | 1.0488 | 4.0 | 360 | 1.2952 | 0.56 |
73
+ | 0.9819 | 5.0 | 450 | 1.0239 | 0.63 |
74
+ | 0.8553 | 6.0 | 540 | 0.8149 | 0.75 |
75
+ | 0.9188 | 7.0 | 630 | 0.9471 | 0.73 |
76
+ | 0.5563 | 8.0 | 720 | 0.7414 | 0.77 |
77
+ | 0.6793 | 9.0 | 810 | 0.7851 | 0.78 |
78
+ | 0.5282 | 10.0 | 900 | 0.6163 | 0.8 |
79
+ | 0.3895 | 11.0 | 990 | 0.6667 | 0.82 |
80
+ | 0.3037 | 12.0 | 1080 | 0.6157 | 0.84 |
81
+ | 0.1647 | 13.0 | 1170 | 0.6485 | 0.83 |
82
+ | 0.3331 | 14.0 | 1260 | 0.5609 | 0.86 |
83
+ | 0.1695 | 15.0 | 1350 | 0.6393 | 0.84 |
84
+ | 0.0968 | 16.0 | 1440 | 0.7537 | 0.83 |
85
+ | 0.1928 | 17.0 | 1530 | 0.7043 | 0.86 |
86
+ | 0.1281 | 18.0 | 1620 | 0.6077 | 0.89 |
87
+ | 0.0482 | 19.0 | 1710 | 0.7178 | 0.86 |
88
+ | 0.1215 | 20.0 | 1800 | 0.6560 | 0.86 |
89
 
90
 
91
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:b798fa8788cd29a1578ee3b776e306ee12cdae87376ea4ace6145d9b99bd7749
3
  size 378310176
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c16c6b8d5b0e31690c8710ea228ddca752bfea2c37a096df78be7623701cc88d
3
  size 378310176
runs/Aug25_02-37-42_b9a65327ce1f/events.out.tfevents.1724553481.b9a65327ce1f.685.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:b0035a828efb3757be394079cf715b77afaecc7ea4cfd4b447695a105ab8c1b1
3
- size 88180
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:949149dd0a15e084a4ed6b12dc084377217002157ff4ba5eaf681d9536292823
3
+ size 88857