Hugging Face's logo

Anguuuuus
/
mydata-sentence

Audio Classification
Transformers
Safetensors
wav2vec2
Generated from Trainer
Inference Endpoints
Model card Files Community
Anguuuuus commited on
Commit
2857242
•
1 Parent(s): 8353047

End of training

Browse files
Files changed (3) hide show
  1. README.md +19 -19
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -6,7 +6,7 @@ tags:
6
  metrics:
7
  - accuracy
8
  model-index:
9
- - name: shimalabaudio-20240530
10
  results: []
11
  ---
12
 
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
17
 
18
  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 0.5594
21
- - Accuracy: 0.8462
22
 
23
  ## Model description
24
 
@@ -37,7 +37,7 @@ More information needed
37
  ### Training hyperparameters
38
 
39
  The following hyperparameters were used during training:
40
- - learning_rate: 0.0001
41
  - train_batch_size: 8
42
  - eval_batch_size: 8
43
  - seed: 42
@@ -50,21 +50,21 @@ The following hyperparameters were used during training:
50
 
51
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
52
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
53
- | 0.7285 | 1.0 | 7 | 0.7379 | 0.3846 |
54
- | 0.6453 | 2.0 | 14 | 0.7529 | 0.3846 |
55
- | 0.6201 | 3.0 | 21 | 0.7825 | 0.3846 |
56
- | 0.5895 | 4.0 | 28 | 0.6757 | 0.3846 |
57
- | 0.5716 | 5.0 | 35 | 0.5579 | 0.8462 |
58
- | 0.475 | 6.0 | 42 | 0.7231 | 0.6154 |
59
- | 0.5271 | 7.0 | 49 | 0.5274 | 0.7692 |
60
- | 0.3543 | 8.0 | 56 | 0.4619 | 0.8462 |
61
- | 0.2373 | 9.0 | 63 | 0.5977 | 0.7692 |
62
- | 0.2754 | 10.0 | 70 | 0.6354 | 0.7692 |
63
- | 0.1182 | 11.0 | 77 | 0.2845 | 0.9231 |
64
- | 0.1424 | 12.0 | 84 | 0.5212 | 0.8462 |
65
- | 0.0915 | 13.0 | 91 | 0.7638 | 0.7692 |
66
- | 0.1235 | 14.0 | 98 | 0.5555 | 0.8462 |
67
- | 0.1576 | 15.0 | 105 | 0.5594 | 0.8462 |
68
 
69
 
70
  ### Framework versions
 
6
  metrics:
7
  - accuracy
8
  model-index:
9
+ - name: mydata-sentence
10
  results: []
11
  ---
12
 
 
17
 
18
  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 0.7299
21
+ - Accuracy: 0.3846
22
 
23
  ## Model description
24
 
 
37
  ### Training hyperparameters
38
 
39
  The following hyperparameters were used during training:
40
+ - learning_rate: 1e-05
41
  - train_batch_size: 8
42
  - eval_batch_size: 8
43
  - seed: 42
 
50
 
51
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
52
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
53
+ | 0.7021 | 1.0 | 7 | 0.6890 | 0.6154 |
54
+ | 0.6845 | 2.0 | 14 | 0.6945 | 0.4615 |
55
+ | 0.6661 | 3.0 | 21 | 0.7075 | 0.3846 |
56
+ | 0.6527 | 4.0 | 28 | 0.7297 | 0.3846 |
57
+ | 0.6743 | 5.0 | 35 | 0.7415 | 0.3846 |
58
+ | 0.6173 | 6.0 | 42 | 0.7375 | 0.3846 |
59
+ | 0.6727 | 7.0 | 49 | 0.7401 | 0.3846 |
60
+ | 0.6522 | 8.0 | 56 | 0.7409 | 0.3846 |
61
+ | 0.6014 | 9.0 | 63 | 0.7327 | 0.3846 |
62
+ | 0.6349 | 10.0 | 70 | 0.7349 | 0.3846 |
63
+ | 0.6226 | 11.0 | 77 | 0.7317 | 0.3846 |
64
+ | 0.5492 | 12.0 | 84 | 0.7344 | 0.3846 |
65
+ | 0.6275 | 13.0 | 91 | 0.7317 | 0.3846 |
66
+ | 0.5519 | 14.0 | 98 | 0.7308 | 0.3846 |
67
+ | 0.5603 | 15.0 | 105 | 0.7299 | 0.3846 |
68
 
69
 
70
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:966e3d8279a666920aa1eb4477afff6d4284b15c822444100a7bb4bbdf2745c7
3
  size 378302360
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:119c23991ec01d070bab4a1661f945517588ad6da4e6ab44a196c40a8c09fd3b
3
  size 378302360
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:2dcd26a6321d74503cd57f8d0cf3d622f1b1add94c93a3195dd4b2f0438c7249
3
  size 4664
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e72adfef27d87da744a65ecc21ea0ab56c43c6f3ed6413312220ec462220438a
3
  size 4664