Hugging Face's logo

fydhfzh
/
wav2vec2-classifier

Audio Classification
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Model card Files Metrics Community
fydhfzh commited on
Commit
2ec7aee
·
verified ·
1 Parent(s): fafc50e

End of training

Browse files
Files changed (2) hide show
  1. README.md +65 -25
  2. runs/Jun16_14-07-02_LAPTOP-1GID9RGH/events.out.tfevents.1718521623.LAPTOP-1GID9RGH.12520.0 +2 -2
README.md CHANGED
@@ -18,14 +18,14 @@ should probably proofread and complete it, then remove this comment. -->
18
 
19
  # wav2vec2-classifier
20
 
21
- This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
22
  It achieves the following results on the evaluation set:
23
- - Loss: 4.4346
24
- - Accuracy: 0.0121
25
- - Precision: 0.0001
26
- - Recall: 0.0121
27
- - F1: 0.0003
28
- - Binary: 0.1515
29
 
30
  ## Model description
31
 
@@ -44,7 +44,7 @@ More information needed
44
  ### Training hyperparameters
45
 
46
  The following hyperparameters were used during training:
47
- - learning_rate: 0.0005
48
  - train_batch_size: 32
49
  - eval_batch_size: 32
50
  - seed: 42
@@ -59,23 +59,63 @@ The following hyperparameters were used during training:
59
 
60
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Binary |
61
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:------:|
62
- | No log | 0.08 | 50 | 4.4494 | 0.0146 | 0.0002 | 0.0146 | 0.0004 | 0.1633 |
63
- | No log | 0.16 | 100 | 4.4464 | 0.0097 | 0.0001 | 0.0097 | 0.0002 | 0.1112 |
64
- | No log | 0.24 | 150 | 4.4330 | 0.0121 | 0.0001 | 0.0121 | 0.0003 | 0.1498 |
65
- | No log | 0.31 | 200 | 4.4432 | 0.0097 | 0.0001 | 0.0097 | 0.0002 | 0.1112 |
66
- | No log | 0.39 | 250 | 4.4338 | 0.0121 | 0.0001 | 0.0121 | 0.0003 | 0.1515 |
67
- | No log | 0.47 | 300 | 4.4480 | 0.0194 | 0.0004 | 0.0194 | 0.0007 | 0.1549 |
68
- | No log | 0.55 | 350 | 4.4439 | 0.0146 | 0.0002 | 0.0146 | 0.0004 | 0.1430 |
69
- | No log | 0.63 | 400 | 4.4467 | 0.0146 | 0.0002 | 0.0146 | 0.0004 | 0.1172 |
70
- | No log | 0.71 | 450 | 4.4418 | 0.0121 | 0.0001 | 0.0121 | 0.0003 | 0.1515 |
71
- | No log | 0.78 | 500 | 4.4394 | 0.0194 | 0.0004 | 0.0194 | 0.0007 | 0.1549 |
72
- | No log | 0.86 | 550 | 4.4450 | 0.0121 | 0.0001 | 0.0121 | 0.0003 | 0.1498 |
73
- | No log | 0.94 | 600 | 4.4342 | 0.0049 | 0.0000 | 0.0049 | 0.0000 | 0.1532 |
74
- | 4.4341 | 1.02 | 650 | 4.4374 | 0.0121 | 0.0001 | 0.0121 | 0.0003 | 0.1061 |
75
- | 4.4341 | 1.1 | 700 | 4.4479 | 0.0121 | 0.0001 | 0.0121 | 0.0003 | 0.1515 |
76
- | 4.4341 | 1.18 | 750 | 4.4399 | 0.0121 | 0.0001 | 0.0121 | 0.0003 | 0.1515 |
77
- | 4.4341 | 1.25 | 800 | 4.4421 | 0.0121 | 0.0001 | 0.0121 | 0.0003 | 0.1515 |
78
- | 4.4341 | 1.33 | 850 | 4.4346 | 0.0121 | 0.0001 | 0.0121 | 0.0003 | 0.1515 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
79
 
80
 
81
  ### Framework versions
 
18
 
19
  # wav2vec2-classifier
20
 
21
+ This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
22
  It achieves the following results on the evaluation set:
23
+ - Loss: 0.6244
24
+ - Accuracy: 0.8471
25
+ - Precision: 0.8748
26
+ - Recall: 0.8471
27
+ - F1: 0.8488
28
+ - Binary: 0.8939
29
 
30
  ## Model description
31
 
 
44
  ### Training hyperparameters
45
 
46
  The following hyperparameters were used during training:
47
+ - learning_rate: 5e-05
48
  - train_batch_size: 32
49
  - eval_batch_size: 32
50
  - seed: 42
 
59
 
60
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Binary |
61
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:------:|
62
+ | No log | 0.17 | 50 | 4.1183 | 0.0437 | 0.0069 | 0.0437 | 0.0092 | 0.3226 |
63
+ | No log | 0.35 | 100 | 3.7518 | 0.0461 | 0.0070 | 0.0461 | 0.0098 | 0.3272 |
64
+ | No log | 0.52 | 150 | 3.5442 | 0.0825 | 0.0303 | 0.0825 | 0.0290 | 0.3527 |
65
+ | No log | 0.69 | 200 | 3.3675 | 0.1068 | 0.0360 | 0.1068 | 0.0473 | 0.3697 |
66
+ | No log | 0.86 | 250 | 3.2266 | 0.1214 | 0.0494 | 0.1214 | 0.0498 | 0.3784 |
67
+ | 3.7123 | 1.04 | 300 | 3.0319 | 0.2015 | 0.1672 | 0.2015 | 0.1388 | 0.4388 |
68
+ | 3.7123 | 1.21 | 350 | 2.8840 | 0.2694 | 0.2341 | 0.2694 | 0.2132 | 0.4871 |
69
+ | 3.7123 | 1.38 | 400 | 2.6910 | 0.3859 | 0.3375 | 0.3859 | 0.3187 | 0.5694 |
70
+ | 3.7123 | 1.55 | 450 | 2.5564 | 0.4223 | 0.4081 | 0.4223 | 0.3680 | 0.5934 |
71
+ | 3.7123 | 1.73 | 500 | 2.4118 | 0.4684 | 0.4887 | 0.4684 | 0.4192 | 0.6265 |
72
+ | 3.7123 | 1.9 | 550 | 2.2664 | 0.5170 | 0.4814 | 0.5170 | 0.4632 | 0.6612 |
73
+ | 2.7681 | 2.07 | 600 | 2.1127 | 0.6214 | 0.6252 | 0.6214 | 0.5918 | 0.7350 |
74
+ | 2.7681 | 2.24 | 650 | 1.9688 | 0.6165 | 0.6309 | 0.6165 | 0.5828 | 0.7308 |
75
+ | 2.7681 | 2.42 | 700 | 1.8190 | 0.6553 | 0.6452 | 0.6553 | 0.6192 | 0.7580 |
76
+ | 2.7681 | 2.59 | 750 | 1.7073 | 0.6626 | 0.6724 | 0.6626 | 0.6309 | 0.7631 |
77
+ | 2.7681 | 2.76 | 800 | 1.6781 | 0.6553 | 0.6746 | 0.6553 | 0.6282 | 0.7573 |
78
+ | 2.7681 | 2.93 | 850 | 1.5448 | 0.6942 | 0.7092 | 0.6942 | 0.6662 | 0.7852 |
79
+ | 2.0663 | 3.11 | 900 | 1.4279 | 0.75 | 0.7486 | 0.75 | 0.7261 | 0.8252 |
80
+ | 2.0663 | 3.28 | 950 | 1.3753 | 0.7403 | 0.7526 | 0.7403 | 0.7185 | 0.8184 |
81
+ | 2.0663 | 3.45 | 1000 | 1.2878 | 0.7718 | 0.7685 | 0.7718 | 0.7524 | 0.8396 |
82
+ | 2.0663 | 3.62 | 1050 | 1.2287 | 0.7670 | 0.7899 | 0.7670 | 0.7543 | 0.8354 |
83
+ | 2.0663 | 3.8 | 1100 | 1.1488 | 0.7791 | 0.8148 | 0.7791 | 0.7687 | 0.8454 |
84
+ | 2.0663 | 3.97 | 1150 | 1.1336 | 0.7718 | 0.8118 | 0.7718 | 0.7645 | 0.8396 |
85
+ | 1.5924 | 4.14 | 1200 | 1.0735 | 0.7840 | 0.8185 | 0.7840 | 0.7763 | 0.8488 |
86
+ | 1.5924 | 4.31 | 1250 | 1.0218 | 0.8058 | 0.8291 | 0.8058 | 0.7960 | 0.8641 |
87
+ | 1.5924 | 4.49 | 1300 | 0.9783 | 0.7937 | 0.8176 | 0.7937 | 0.7868 | 0.8556 |
88
+ | 1.5924 | 4.66 | 1350 | 0.9595 | 0.8083 | 0.8247 | 0.8083 | 0.8020 | 0.8667 |
89
+ | 1.5924 | 4.83 | 1400 | 0.9167 | 0.8155 | 0.8394 | 0.8155 | 0.8072 | 0.8718 |
90
+ | 1.2937 | 5.0 | 1450 | 0.8874 | 0.8083 | 0.8392 | 0.8083 | 0.8068 | 0.8658 |
91
+ | 1.2937 | 5.18 | 1500 | 0.8918 | 0.7913 | 0.8305 | 0.7913 | 0.7893 | 0.8541 |
92
+ | 1.2937 | 5.35 | 1550 | 0.8706 | 0.7937 | 0.8411 | 0.7937 | 0.7948 | 0.8558 |
93
+ | 1.2937 | 5.52 | 1600 | 0.8037 | 0.8350 | 0.8804 | 0.8350 | 0.8347 | 0.8845 |
94
+ | 1.2937 | 5.69 | 1650 | 0.8356 | 0.8010 | 0.8518 | 0.8010 | 0.8019 | 0.8626 |
95
+ | 1.2937 | 5.87 | 1700 | 0.8261 | 0.8131 | 0.8491 | 0.8131 | 0.8159 | 0.8694 |
96
+ | 1.0749 | 6.04 | 1750 | 0.7995 | 0.8131 | 0.8568 | 0.8131 | 0.8145 | 0.8721 |
97
+ | 1.0749 | 6.21 | 1800 | 0.7737 | 0.8301 | 0.8674 | 0.8301 | 0.8315 | 0.8830 |
98
+ | 1.0749 | 6.38 | 1850 | 0.7524 | 0.8228 | 0.8660 | 0.8228 | 0.8236 | 0.8755 |
99
+ | 1.0749 | 6.56 | 1900 | 0.7203 | 0.8301 | 0.8728 | 0.8301 | 0.8342 | 0.8830 |
100
+ | 1.0749 | 6.73 | 1950 | 0.7239 | 0.8398 | 0.8751 | 0.8398 | 0.8426 | 0.8881 |
101
+ | 1.0749 | 6.9 | 2000 | 0.6872 | 0.8422 | 0.8797 | 0.8422 | 0.8454 | 0.8896 |
102
+ | 0.916 | 7.08 | 2050 | 0.6973 | 0.8398 | 0.8791 | 0.8398 | 0.8431 | 0.8879 |
103
+ | 0.916 | 7.25 | 2100 | 0.6895 | 0.8350 | 0.8783 | 0.8350 | 0.8403 | 0.8845 |
104
+ | 0.916 | 7.42 | 2150 | 0.6613 | 0.8495 | 0.8832 | 0.8495 | 0.8510 | 0.8947 |
105
+ | 0.916 | 7.59 | 2200 | 0.6550 | 0.8325 | 0.8633 | 0.8325 | 0.8348 | 0.8847 |
106
+ | 0.916 | 7.77 | 2250 | 0.6565 | 0.8422 | 0.8746 | 0.8422 | 0.8434 | 0.8896 |
107
+ | 0.916 | 7.94 | 2300 | 0.6689 | 0.8350 | 0.8777 | 0.8350 | 0.8381 | 0.8864 |
108
+ | 0.7992 | 8.11 | 2350 | 0.6816 | 0.8252 | 0.8624 | 0.8252 | 0.8236 | 0.8786 |
109
+ | 0.7992 | 8.28 | 2400 | 0.6394 | 0.8447 | 0.8784 | 0.8447 | 0.8465 | 0.8932 |
110
+ | 0.7992 | 8.46 | 2450 | 0.6732 | 0.8252 | 0.8502 | 0.8252 | 0.8219 | 0.8786 |
111
+ | 0.7992 | 8.63 | 2500 | 0.6593 | 0.8544 | 0.8836 | 0.8544 | 0.8542 | 0.8990 |
112
+ | 0.7992 | 8.8 | 2550 | 0.6510 | 0.8374 | 0.8690 | 0.8374 | 0.8365 | 0.8871 |
113
+ | 0.7992 | 8.97 | 2600 | 0.6500 | 0.8398 | 0.8761 | 0.8398 | 0.8417 | 0.8888 |
114
+ | 0.7376 | 9.15 | 2650 | 0.6393 | 0.8374 | 0.8665 | 0.8374 | 0.8381 | 0.8871 |
115
+ | 0.7376 | 9.32 | 2700 | 0.6284 | 0.8422 | 0.8716 | 0.8422 | 0.8435 | 0.8905 |
116
+ | 0.7376 | 9.49 | 2750 | 0.6225 | 0.8471 | 0.8761 | 0.8471 | 0.8483 | 0.8939 |
117
+ | 0.7376 | 9.66 | 2800 | 0.6219 | 0.8519 | 0.8836 | 0.8519 | 0.8544 | 0.8973 |
118
+ | 0.7376 | 9.84 | 2850 | 0.6244 | 0.8471 | 0.8748 | 0.8471 | 0.8488 | 0.8939 |
119
 
120
 
121
  ### Framework versions
runs/Jun16_14-07-02_LAPTOP-1GID9RGH/events.out.tfevents.1718521623.LAPTOP-1GID9RGH.12520.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:4bcbceaa034a55f33082b1d9bb2440a536e2fa8479561693e43248bb91423e6e
3
- size 37607
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d3bdc085c06040d44ca1f4484fec8eaeadadf8bf334299e40a0bbcb5eedba8c1
3
+ size 42037