Hugging Face's logo

devkya
/
ko-commands-classification

Audio Classification
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
devkya commited on
Commit
700e4d1
•
1 Parent(s): b09e3e8

End of training

Browse files
Files changed (2) hide show
  1. README.md +11 -11
  2. model.safetensors +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
- value: 0.04424778761061947
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/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the minds14 dataset.
34
  It achieves the following results on the evaluation set:
35
- - Loss: 2.6709
36
- - Accuracy: 0.0442
37
 
38
  ## Model description
39
 
@@ -67,14 +67,14 @@ The following hyperparameters were used during training:
67
 
68
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
69
  |:-------------:|:------:|:----:|:---------------:|:--------:|
70
- | No log | 0.8 | 3 | 2.6408 | 0.0619 |
71
- | No log | 1.8667 | 7 | 2.6433 | 0.0973 |
72
- | 2.6347 | 2.9333 | 11 | 2.6485 | 0.0796 |
73
- | 2.6347 | 4.0 | 15 | 2.6600 | 0.0442 |
74
- | 2.6347 | 4.8 | 18 | 2.6626 | 0.0442 |
75
- | 2.6248 | 5.8667 | 22 | 2.6673 | 0.0442 |
76
- | 2.6248 | 6.9333 | 26 | 2.6706 | 0.0442 |
77
- | 2.6228 | 8.0 | 30 | 2.6709 | 0.0442 |
78
 
79
 
80
  ### Framework versions
 
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
+ value: 0.02654867256637168
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/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the minds14 dataset.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 2.6830
36
+ - Accuracy: 0.0265
37
 
38
  ## Model description
39
 
 
67
 
68
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
69
  |:-------------:|:------:|:----:|:---------------:|:--------:|
70
+ | No log | 0.8 | 3 | 2.6406 | 0.0531 |
71
+ | No log | 1.8667 | 7 | 2.6534 | 0.0619 |
72
+ | 2.6342 | 2.9333 | 11 | 2.6687 | 0.0619 |
73
+ | 2.6342 | 4.0 | 15 | 2.6758 | 0.0531 |
74
+ | 2.6342 | 4.8 | 18 | 2.6775 | 0.0442 |
75
+ | 2.6269 | 5.8667 | 22 | 2.6794 | 0.0354 |
76
+ | 2.6269 | 6.9333 | 26 | 2.6800 | 0.0354 |
77
+ | 2.6171 | 8.0 | 30 | 2.6830 | 0.0265 |
78
 
79
 
80
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:bab4c382a653805ef76a265e44086725cc82976b43acdba7c24f70f56ee89d8e
3
  size 378314704
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2fe8d6ae5cac66e54a9ec9e66f622169dc14a78cd2f5d63b7a3916a1f27fbeea
3
  size 378314704