Hugging Face's logo

j2100067
/
my_awesome_mind_model

Audio Classification
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Eval Results
Model card Files Metrics Community
j2100067 commited on
Commit
2678c6c
·
verified ·
1 Parent(s): 539f94e

End of training

Browse files
Files changed (2) hide show
  1. README.md +18 -17
  2. model.safetensors +1 -1
README.md CHANGED
@@ -23,7 +23,7 @@ model-index:
23
  metrics:
24
  - name: Accuracy
25
  type: accuracy
26
- value: 0.04424778761061947
27
  ---
28
 
29
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
33
 
34
  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the minds14 dataset.
35
  It achieves the following results on the evaluation set:
36
- - Loss: 2.6519
37
- - Accuracy: 0.0442
38
 
39
  ## Model description
40
 
@@ -66,22 +66,23 @@ The following hyperparameters were used during training:
66
 
67
  ### Training results
68
 
69
- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
70
- |:-------------:|:------:|:----:|:---------------:|:--------:|
71
- | No log | 0.8 | 3 | 2.6387 | 0.0708 |
72
- | No log | 1.9333 | 7 | 2.6374 | 0.0796 |
73
- | 2.6385 | 2.8 | 10 | 2.6409 | 0.0442 |
74
- | 2.6385 | 3.9333 | 14 | 2.6468 | 0.0354 |
75
- | 2.6385 | 4.8 | 17 | 2.6513 | 0.0531 |
76
- | 2.6341 | 5.9333 | 21 | 2.6533 | 0.0265 |
77
- | 2.6341 | 6.8 | 24 | 2.6520 | 0.0531 |
78
- | 2.6341 | 7.9333 | 28 | 2.6515 | 0.0442 |
79
- | 2.6266 | 8.5333 | 30 | 2.6519 | 0.0442 |
 
80
 
81
 
82
  ### Framework versions
83
 
84
- - Transformers 4.46.2
85
  - Pytorch 2.5.1+cu121
86
- - Datasets 3.1.0
87
- - Tokenizers 0.20.3
 
23
  metrics:
24
  - name: Accuracy
25
  type: accuracy
26
+ value: 0.05309734513274336
27
  ---
28
 
29
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
33
 
34
  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the minds14 dataset.
35
  It achieves the following results on the evaluation set:
36
+ - Loss: 2.6610
37
+ - Accuracy: 0.0531
38
 
39
  ## Model description
40
 
 
66
 
67
  ### Training results
68
 
69
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
70
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
71
+ | No log | 0.8 | 3 | 2.6482 | 0.0265 |
72
+ | No log | 1.8 | 6 | 2.6538 | 0.0177 |
73
+ | No log | 2.8 | 9 | 2.6528 | 0.0177 |
74
+ | 12.1192 | 3.8 | 12 | 2.6548 | 0.0265 |
75
+ | 12.1192 | 4.8 | 15 | 2.6573 | 0.0354 |
76
+ | 12.1192 | 5.8 | 18 | 2.6592 | 0.0354 |
77
+ | 12.0412 | 6.8 | 21 | 2.6588 | 0.0531 |
78
+ | 12.0412 | 7.8 | 24 | 2.6596 | 0.0531 |
79
+ | 12.0412 | 8.8 | 27 | 2.6599 | 0.0531 |
80
+ | 12.0014 | 9.8 | 30 | 2.6610 | 0.0531 |
81
 
82
 
83
  ### Framework versions
84
 
85
+ - Transformers 4.47.1
86
  - Pytorch 2.5.1+cu121
87
+ - Datasets 3.2.0
88
+ - Tokenizers 0.21.0
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:808e99284f5f9aad0728435522475d33f8e72483b49a1e0723460008af40716e
3
  size 378314704
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:91d91ce939430977d7572c7182167af01a198b53dd7cfe6e30cee0a5157383a5
3
  size 378314704