Hugging Face's logo

aydink
/
hubert-base-ls960-finetuned-common_voice

Audio Classification
Transformers
TensorBoard
Safetensors
hubert
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
aydink commited on
Commit
8a995b1
•
1 Parent(s): c409575

Model save

Browse files
Files changed (2) hide show
  1. README.md +17 -17
  2. model.safetensors +1 -1
README.md CHANGED
@@ -20,13 +20,13 @@ should probably proofread and complete it, then remove this comment. -->
20
 
21
  This model is a fine-tuned version of [facebook/hubert-base-ls960](https://huggingface.co/facebook/hubert-base-ls960) on the None dataset.
22
  It achieves the following results on the evaluation set:
23
- - Loss: 0.1194
24
- - Accuracy: 0.9925
25
- - F1: 0.9925
26
- - Recall: 0.9925
27
- - Precision: 0.9926
28
- - Mcc: 0.9906
29
- - Auc: 0.9994
30
 
31
  ## Model description
32
 
@@ -61,16 +61,16 @@ The following hyperparameters were used during training:
61
 
62
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Recall | Precision | Mcc | Auc |
63
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:---------:|:------:|:------:|
64
- | 0.6461 | 0.96 | 12 | 0.4123 | 0.9725 | 0.9725 | 0.9725 | 0.9736 | 0.9659 | 0.9992 |
65
- | 0.622 | 2.0 | 25 | 0.3858 | 0.9225 | 0.9214 | 0.9225 | 0.9354 | 0.9067 | 0.9943 |
66
- | 0.4827 | 2.96 | 37 | 0.2750 | 0.97 | 0.9699 | 0.97 | 0.9731 | 0.9633 | 0.9988 |
67
- | 0.3907 | 4.0 | 50 | 0.2061 | 0.98 | 0.9800 | 0.9800 | 0.9809 | 0.9752 | 0.9998 |
68
- | 0.3212 | 4.96 | 62 | 0.1654 | 0.99 | 0.9900 | 0.9900 | 0.9902 | 0.9875 | 0.9999 |
69
- | 0.2865 | 6.0 | 75 | 0.1355 | 0.9925 | 0.9925 | 0.9925 | 0.9926 | 0.9906 | 1.0000 |
70
- | 0.278 | 6.96 | 87 | 0.1379 | 0.9925 | 0.9925 | 0.9925 | 0.9926 | 0.9906 | 0.9989 |
71
- | 0.2285 | 8.0 | 100 | 0.1199 | 0.995 | 0.9950 | 0.9950 | 0.9950 | 0.9938 | 0.9993 |
72
- | 0.1975 | 8.96 | 112 | 0.1239 | 0.99 | 0.9900 | 0.9900 | 0.9902 | 0.9875 | 0.9994 |
73
- | 0.1949 | 9.6 | 120 | 0.1194 | 0.9925 | 0.9925 | 0.9925 | 0.9926 | 0.9906 | 0.9994 |
74
 
75
 
76
  ### Framework versions
 
20
 
21
  This model is a fine-tuned version of [facebook/hubert-base-ls960](https://huggingface.co/facebook/hubert-base-ls960) on the None dataset.
22
  It achieves the following results on the evaluation set:
23
+ - Loss: 0.0353
24
+ - Accuracy: 1.0
25
+ - F1: 1.0
26
+ - Recall: 1.0
27
+ - Precision: 1.0
28
+ - Mcc: 1.0
29
+ - Auc: 1.0
30
 
31
  ## Model description
32
 
 
61
 
62
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Recall | Precision | Mcc | Auc |
63
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:---------:|:------:|:------:|
64
+ | 0.1939 | 0.96 | 12 | 0.0971 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
65
+ | 0.2049 | 2.0 | 25 | 0.0784 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
66
+ | 0.1763 | 2.96 | 37 | 0.0645 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
67
+ | 0.1441 | 4.0 | 50 | 0.0972 | 0.985 | 0.9850 | 0.985 | 0.9860 | 0.9815 | 0.9994 |
68
+ | 0.1264 | 4.96 | 62 | 0.0627 | 0.9925 | 0.9925 | 0.9925 | 0.9928 | 0.9907 | 1.0 |
69
+ | 0.1148 | 6.0 | 75 | 0.0426 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
70
+ | 0.1114 | 6.96 | 87 | 0.0394 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
71
+ | 0.0911 | 8.0 | 100 | 0.0365 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
72
+ | 0.078 | 8.96 | 112 | 0.0358 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
73
+ | 0.0797 | 9.6 | 120 | 0.0353 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
74
 
75
 
76
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:e2849f14e3bb770bbcac6cc1d6af9d531b19b79af8b7f81c993b74d8adc9fb43
3
  size 378305028
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d4d5d8aabc34e82239e30df757530e2e321f24da406039276ed65c97288a794b
3
  size 378305028