Hugging Face's logo

fydhfzh
/
hubert-classifier-aug-fold-0

Audio Classification
Transformers
TensorBoard
Safetensors
hubert
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
fydhfzh commited on
Commit
54d278f
•
1 Parent(s): fe9e541

End of training

Browse files
Files changed (3) hide show
  1. README.md +53 -80
  2. runs/Jul20_01-59-02_LAPTOP-1GID9RGH/events.out.tfevents.1721415544.LAPTOP-1GID9RGH.19084.0 +2 -2
  3. runs/Jul20_01-59-02_LAPTOP-1GID9RGH/events.out.tfevents.1721417432.LAPTOP-1GID9RGH.19084.1 +3 -0
README.md CHANGED
@@ -20,12 +20,12 @@ 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 an unknown dataset.
22
  It achieves the following results on the evaluation set:
23
- - Loss: 0.4752
24
- - Accuracy: 0.8895
25
- - Precision: 0.9022
26
- - Recall: 0.8895
27
- - F1: 0.8885
28
- - Binary: 0.9222
29
 
30
  ## Model description
31
 
@@ -59,80 +59,53 @@ The following hyperparameters were used during training:
59
 
60
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Binary |
61
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:------:|
62
- | No log | 0.13 | 50 | 3.9894 | 0.0472 | 0.0049 | 0.0472 | 0.0080 | 0.3132 |
63
- | No log | 0.27 | 100 | 3.4226 | 0.0970 | 0.0691 | 0.0970 | 0.0477 | 0.3615 |
64
- | No log | 0.4 | 150 | 3.1173 | 0.1509 | 0.0772 | 0.1509 | 0.0759 | 0.3985 |
65
- | No log | 0.54 | 200 | 2.7885 | 0.2439 | 0.1966 | 0.2439 | 0.1769 | 0.4664 |
66
- | No log | 0.67 | 250 | 2.4226 | 0.3477 | 0.2627 | 0.3477 | 0.2654 | 0.5412 |
67
- | No log | 0.81 | 300 | 2.0733 | 0.4515 | 0.4074 | 0.4515 | 0.3860 | 0.6143 |
68
- | No log | 0.94 | 350 | 1.8531 | 0.5512 | 0.5247 | 0.5512 | 0.4904 | 0.6844 |
69
- | 3.0592 | 1.08 | 400 | 1.6649 | 0.5809 | 0.5680 | 0.5809 | 0.5365 | 0.7046 |
70
- | 3.0592 | 1.21 | 450 | 1.4351 | 0.6199 | 0.6214 | 0.6199 | 0.5796 | 0.7327 |
71
- | 3.0592 | 1.35 | 500 | 1.2309 | 0.6954 | 0.6842 | 0.6954 | 0.6636 | 0.7864 |
72
- | 3.0592 | 1.48 | 550 | 1.1706 | 0.7089 | 0.7292 | 0.7089 | 0.6899 | 0.7947 |
73
- | 3.0592 | 1.62 | 600 | 1.0363 | 0.7264 | 0.7374 | 0.7264 | 0.7076 | 0.8078 |
74
- | 3.0592 | 1.75 | 650 | 0.9977 | 0.7642 | 0.7769 | 0.7642 | 0.7508 | 0.8344 |
75
- | 3.0592 | 1.89 | 700 | 0.9239 | 0.7655 | 0.7900 | 0.7655 | 0.7497 | 0.8367 |
76
- | 1.4103 | 2.02 | 750 | 0.8664 | 0.7722 | 0.7836 | 0.7722 | 0.7587 | 0.8398 |
77
- | 1.4103 | 2.16 | 800 | 0.8351 | 0.7844 | 0.7920 | 0.7844 | 0.7716 | 0.8480 |
78
- | 1.4103 | 2.29 | 850 | 0.7602 | 0.7965 | 0.8065 | 0.7965 | 0.7904 | 0.8578 |
79
- | 1.4103 | 2.43 | 900 | 0.7829 | 0.8100 | 0.8364 | 0.8100 | 0.8052 | 0.8678 |
80
- | 1.4103 | 2.56 | 950 | 0.7197 | 0.8005 | 0.8158 | 0.8005 | 0.7903 | 0.8616 |
81
- | 1.4103 | 2.7 | 1000 | 0.7602 | 0.8113 | 0.8297 | 0.8113 | 0.8059 | 0.8683 |
82
- | 1.4103 | 2.83 | 1050 | 0.6590 | 0.8342 | 0.8489 | 0.8342 | 0.8266 | 0.8850 |
83
- | 1.4103 | 2.97 | 1100 | 0.6178 | 0.8396 | 0.8546 | 0.8396 | 0.8320 | 0.8880 |
84
- | 0.8796 | 3.1 | 1150 | 0.6263 | 0.8396 | 0.8577 | 0.8396 | 0.8344 | 0.8871 |
85
- | 0.8796 | 3.24 | 1200 | 0.6099 | 0.8369 | 0.8532 | 0.8369 | 0.8302 | 0.8861 |
86
- | 0.8796 | 3.37 | 1250 | 0.6266 | 0.8329 | 0.8505 | 0.8329 | 0.8289 | 0.8815 |
87
- | 0.8796 | 3.51 | 1300 | 0.5873 | 0.8437 | 0.8564 | 0.8437 | 0.8409 | 0.8896 |
88
- | 0.8796 | 3.64 | 1350 | 0.6750 | 0.8396 | 0.8572 | 0.8396 | 0.8359 | 0.8875 |
89
- | 0.8796 | 3.78 | 1400 | 0.6247 | 0.8383 | 0.8534 | 0.8383 | 0.8356 | 0.8856 |
90
- | 0.8796 | 3.91 | 1450 | 0.6302 | 0.8369 | 0.8483 | 0.8369 | 0.8328 | 0.8852 |
91
- | 0.6486 | 4.05 | 1500 | 0.6063 | 0.8558 | 0.8670 | 0.8558 | 0.8504 | 0.9001 |
92
- | 0.6486 | 4.18 | 1550 | 0.6152 | 0.8410 | 0.8564 | 0.8410 | 0.8359 | 0.8884 |
93
- | 0.6486 | 4.32 | 1600 | 0.6123 | 0.8504 | 0.8653 | 0.8504 | 0.8438 | 0.8949 |
94
- | 0.6486 | 4.45 | 1650 | 0.6590 | 0.8464 | 0.8608 | 0.8464 | 0.8410 | 0.8934 |
95
- | 0.6486 | 4.59 | 1700 | 0.6929 | 0.8464 | 0.8599 | 0.8464 | 0.8419 | 0.8937 |
96
- | 0.6486 | 4.72 | 1750 | 0.5531 | 0.8598 | 0.8753 | 0.8598 | 0.8574 | 0.9020 |
97
- | 0.6486 | 4.86 | 1800 | 0.6241 | 0.8504 | 0.8635 | 0.8504 | 0.8446 | 0.8949 |
98
- | 0.6486 | 4.99 | 1850 | 0.6102 | 0.8531 | 0.8632 | 0.8531 | 0.8484 | 0.8966 |
99
- | 0.5302 | 5.12 | 1900 | 0.6633 | 0.8612 | 0.8764 | 0.8612 | 0.8541 | 0.9026 |
100
- | 0.5302 | 5.26 | 1950 | 0.6566 | 0.8531 | 0.8633 | 0.8531 | 0.8489 | 0.8968 |
101
- | 0.5302 | 5.39 | 2000 | 0.7052 | 0.8342 | 0.8598 | 0.8342 | 0.8312 | 0.8836 |
102
- | 0.5302 | 5.53 | 2050 | 0.6527 | 0.8518 | 0.8618 | 0.8518 | 0.8491 | 0.8958 |
103
- | 0.5302 | 5.66 | 2100 | 0.6170 | 0.8598 | 0.8714 | 0.8598 | 0.8558 | 0.9011 |
104
- | 0.5302 | 5.8 | 2150 | 0.6832 | 0.8491 | 0.8648 | 0.8491 | 0.8462 | 0.8939 |
105
- | 0.5302 | 5.93 | 2200 | 0.6431 | 0.8571 | 0.8733 | 0.8571 | 0.8540 | 0.8992 |
106
- | 0.4492 | 6.07 | 2250 | 0.6744 | 0.8437 | 0.8664 | 0.8437 | 0.8408 | 0.8898 |
107
- | 0.4492 | 6.2 | 2300 | 0.6106 | 0.8544 | 0.8641 | 0.8544 | 0.8499 | 0.8977 |
108
- | 0.4492 | 6.34 | 2350 | 0.5262 | 0.8652 | 0.8794 | 0.8652 | 0.8636 | 0.9053 |
109
- | 0.4492 | 6.47 | 2400 | 0.6457 | 0.8544 | 0.8689 | 0.8544 | 0.8519 | 0.8981 |
110
- | 0.4492 | 6.61 | 2450 | 0.6413 | 0.8625 | 0.8688 | 0.8625 | 0.8584 | 0.9034 |
111
- | 0.4492 | 6.74 | 2500 | 0.6634 | 0.8504 | 0.8634 | 0.8504 | 0.8476 | 0.8941 |
112
- | 0.4492 | 6.88 | 2550 | 0.6251 | 0.8612 | 0.8708 | 0.8612 | 0.8560 | 0.9024 |
113
- | 0.4054 | 7.01 | 2600 | 0.6368 | 0.8558 | 0.8682 | 0.8558 | 0.8501 | 0.8988 |
114
- | 0.4054 | 7.15 | 2650 | 0.6141 | 0.8720 | 0.8825 | 0.8720 | 0.8680 | 0.9097 |
115
- | 0.4054 | 7.28 | 2700 | 0.6492 | 0.8558 | 0.8711 | 0.8558 | 0.8531 | 0.8988 |
116
- | 0.4054 | 7.42 | 2750 | 0.6126 | 0.8760 | 0.8842 | 0.8760 | 0.8720 | 0.9135 |
117
- | 0.4054 | 7.55 | 2800 | 0.6686 | 0.8720 | 0.8827 | 0.8720 | 0.8683 | 0.9089 |
118
- | 0.4054 | 7.69 | 2850 | 0.6718 | 0.8652 | 0.8774 | 0.8652 | 0.8629 | 0.9053 |
119
- | 0.4054 | 7.82 | 2900 | 0.6315 | 0.8706 | 0.8832 | 0.8706 | 0.8681 | 0.9092 |
120
- | 0.4054 | 7.96 | 2950 | 0.7499 | 0.8558 | 0.8692 | 0.8558 | 0.8512 | 0.8980 |
121
- | 0.3625 | 8.09 | 3000 | 0.6539 | 0.8639 | 0.8819 | 0.8639 | 0.8606 | 0.9047 |
122
- | 0.3625 | 8.23 | 3050 | 0.6250 | 0.8787 | 0.8910 | 0.8787 | 0.8766 | 0.9151 |
123
- | 0.3625 | 8.36 | 3100 | 0.6734 | 0.8639 | 0.8709 | 0.8639 | 0.8594 | 0.9053 |
124
- | 0.3625 | 8.5 | 3150 | 0.7044 | 0.8571 | 0.8673 | 0.8571 | 0.8519 | 0.9001 |
125
- | 0.3625 | 8.63 | 3200 | 0.7766 | 0.8558 | 0.8705 | 0.8558 | 0.8531 | 0.8993 |
126
- | 0.3625 | 8.77 | 3250 | 0.6379 | 0.8585 | 0.8723 | 0.8585 | 0.8555 | 0.9001 |
127
- | 0.3625 | 8.9 | 3300 | 0.6725 | 0.8612 | 0.8786 | 0.8612 | 0.8577 | 0.9030 |
128
- | 0.3322 | 9.04 | 3350 | 0.6457 | 0.8679 | 0.8835 | 0.8679 | 0.8649 | 0.9067 |
129
- | 0.3322 | 9.17 | 3400 | 0.7583 | 0.8558 | 0.8671 | 0.8558 | 0.8526 | 0.8982 |
130
- | 0.3322 | 9.31 | 3450 | 0.6929 | 0.8598 | 0.8737 | 0.8598 | 0.8538 | 0.9007 |
131
- | 0.3322 | 9.44 | 3500 | 0.7696 | 0.8491 | 0.8615 | 0.8491 | 0.8447 | 0.8927 |
132
- | 0.3322 | 9.58 | 3550 | 0.7551 | 0.8531 | 0.8725 | 0.8531 | 0.8467 | 0.8973 |
133
- | 0.3322 | 9.71 | 3600 | 0.6499 | 0.8598 | 0.8725 | 0.8598 | 0.8565 | 0.9011 |
134
- | 0.3322 | 9.84 | 3650 | 0.6816 | 0.8558 | 0.8702 | 0.8558 | 0.8537 | 0.8992 |
135
- | 0.3322 | 9.98 | 3700 | 0.6956 | 0.8598 | 0.8739 | 0.8598 | 0.8566 | 0.9011 |
136
 
137
 
138
  ### Framework versions
 
20
 
21
  This model is a fine-tuned version of [facebook/hubert-base-ls960](https://huggingface.co/facebook/hubert-base-ls960) on an unknown dataset.
22
  It achieves the following results on the evaluation set:
23
+ - Loss: 0.5649
24
+ - Accuracy: 0.8679
25
+ - Precision: 0.8791
26
+ - Recall: 0.8679
27
+ - F1: 0.8667
28
+ - Binary: 0.9082
29
 
30
  ## Model description
31
 
 
59
 
60
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Binary |
61
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:------:|
62
+ | No log | 0.13 | 50 | 3.8775 | 0.0512 | 0.0179 | 0.0512 | 0.0103 | 0.3205 |
63
+ | No log | 0.27 | 100 | 3.4967 | 0.0526 | 0.0224 | 0.0526 | 0.0156 | 0.3290 |
64
+ | No log | 0.4 | 150 | 3.2301 | 0.0970 | 0.0222 | 0.0970 | 0.0291 | 0.3659 |
65
+ | No log | 0.54 | 200 | 3.0363 | 0.1361 | 0.0437 | 0.1361 | 0.0582 | 0.3920 |
66
+ | No log | 0.67 | 250 | 2.7181 | 0.2385 | 0.1581 | 0.2385 | 0.1495 | 0.4625 |
67
+ | No log | 0.81 | 300 | 2.3875 | 0.3019 | 0.1996 | 0.3019 | 0.2063 | 0.5101 |
68
+ | No log | 0.94 | 350 | 2.1936 | 0.3895 | 0.3562 | 0.3895 | 0.3154 | 0.5706 |
69
+ | 3.2299 | 1.08 | 400 | 1.9583 | 0.4555 | 0.3983 | 0.4555 | 0.3887 | 0.6168 |
70
+ | 3.2299 | 1.21 | 450 | 1.7394 | 0.5 | 0.4895 | 0.5 | 0.4446 | 0.6497 |
71
+ | 3.2299 | 1.35 | 500 | 1.5140 | 0.6065 | 0.6096 | 0.6065 | 0.5686 | 0.7244 |
72
+ | 3.2299 | 1.48 | 550 | 1.3457 | 0.6361 | 0.6197 | 0.6361 | 0.5975 | 0.7460 |
73
+ | 3.2299 | 1.62 | 600 | 1.2439 | 0.6644 | 0.6718 | 0.6644 | 0.6320 | 0.7644 |
74
+ | 3.2299 | 1.75 | 650 | 1.0984 | 0.7035 | 0.6871 | 0.7035 | 0.6718 | 0.7927 |
75
+ | 3.2299 | 1.89 | 700 | 1.0212 | 0.7480 | 0.7557 | 0.7480 | 0.7313 | 0.8225 |
76
+ | 1.7016 | 2.02 | 750 | 0.9402 | 0.7412 | 0.7504 | 0.7412 | 0.7217 | 0.8187 |
77
+ | 1.7016 | 2.16 | 800 | 0.9117 | 0.7412 | 0.7498 | 0.7412 | 0.7285 | 0.8178 |
78
+ | 1.7016 | 2.29 | 850 | 0.8195 | 0.7763 | 0.8018 | 0.7763 | 0.7704 | 0.8439 |
79
+ | 1.7016 | 2.43 | 900 | 0.7736 | 0.7898 | 0.8195 | 0.7898 | 0.7817 | 0.8531 |
80
+ | 1.7016 | 2.56 | 950 | 0.7723 | 0.7965 | 0.8227 | 0.7965 | 0.7855 | 0.8597 |
81
+ | 1.7016 | 2.7 | 1000 | 0.7737 | 0.7857 | 0.8131 | 0.7857 | 0.7780 | 0.8512 |
82
+ | 1.7016 | 2.83 | 1050 | 0.6884 | 0.8113 | 0.8281 | 0.8113 | 0.8057 | 0.8679 |
83
+ | 1.7016 | 2.97 | 1100 | 0.7205 | 0.8032 | 0.8297 | 0.8032 | 0.7987 | 0.8646 |
84
+ | 1.0665 | 3.1 | 1150 | 0.6086 | 0.8342 | 0.8483 | 0.8342 | 0.8297 | 0.8864 |
85
+ | 1.0665 | 3.24 | 1200 | 0.5848 | 0.8531 | 0.8690 | 0.8531 | 0.8503 | 0.8991 |
86
+ | 1.0665 | 3.37 | 1250 | 0.6821 | 0.8369 | 0.8551 | 0.8369 | 0.8315 | 0.8861 |
87
+ | 1.0665 | 3.51 | 1300 | 0.6050 | 0.8315 | 0.8491 | 0.8315 | 0.8287 | 0.8833 |
88
+ | 1.0665 | 3.64 | 1350 | 0.5871 | 0.8504 | 0.8708 | 0.8504 | 0.8477 | 0.8960 |
89
+ | 1.0665 | 3.78 | 1400 | 0.6485 | 0.8329 | 0.8560 | 0.8329 | 0.8298 | 0.8837 |
90
+ | 1.0665 | 3.91 | 1450 | 0.5727 | 0.8518 | 0.8673 | 0.8518 | 0.8484 | 0.8970 |
91
+ | 0.7598 | 4.05 | 1500 | 0.5555 | 0.8652 | 0.8752 | 0.8652 | 0.8623 | 0.9069 |
92
+ | 0.7598 | 4.18 | 1550 | 0.5407 | 0.8585 | 0.8702 | 0.8585 | 0.8558 | 0.9031 |
93
+ | 0.7598 | 4.32 | 1600 | 0.5282 | 0.8679 | 0.8813 | 0.8679 | 0.8658 | 0.9082 |
94
+ | 0.7598 | 4.45 | 1650 | 0.5557 | 0.8558 | 0.8693 | 0.8558 | 0.8540 | 0.9008 |
95
+ | 0.7598 | 4.59 | 1700 | 0.5832 | 0.8693 | 0.8866 | 0.8693 | 0.8686 | 0.9097 |
96
+ | 0.7598 | 4.72 | 1750 | 0.5623 | 0.8720 | 0.8818 | 0.8720 | 0.8707 | 0.9097 |
97
+ | 0.7598 | 4.86 | 1800 | 0.5598 | 0.8612 | 0.8811 | 0.8612 | 0.8614 | 0.9040 |
98
+ | 0.7598 | 4.99 | 1850 | 0.6415 | 0.8504 | 0.8627 | 0.8504 | 0.8479 | 0.8970 |
99
+ | 0.5874 | 5.12 | 1900 | 0.5866 | 0.8652 | 0.8788 | 0.8652 | 0.8620 | 0.9074 |
100
+ | 0.5874 | 5.26 | 1950 | 0.6092 | 0.8612 | 0.8725 | 0.8612 | 0.8603 | 0.9036 |
101
+ | 0.5874 | 5.39 | 2000 | 0.5544 | 0.8733 | 0.8870 | 0.8733 | 0.8730 | 0.9125 |
102
+ | 0.5874 | 5.53 | 2050 | 0.5478 | 0.8598 | 0.8726 | 0.8598 | 0.8591 | 0.9026 |
103
+ | 0.5874 | 5.66 | 2100 | 0.5683 | 0.8733 | 0.8908 | 0.8733 | 0.8713 | 0.9116 |
104
+ | 0.5874 | 5.8 | 2150 | 0.5644 | 0.8679 | 0.8782 | 0.8679 | 0.8643 | 0.9102 |
105
+ | 0.5874 | 5.93 | 2200 | 0.5471 | 0.8666 | 0.8759 | 0.8666 | 0.8639 | 0.9093 |
106
+ | 0.4963 | 6.07 | 2250 | 0.6050 | 0.8612 | 0.8757 | 0.8612 | 0.8603 | 0.9044 |
107
+ | 0.4963 | 6.2 | 2300 | 0.5908 | 0.8625 | 0.8770 | 0.8625 | 0.8613 | 0.9054 |
108
+ | 0.4963 | 6.34 | 2350 | 0.5994 | 0.8598 | 0.8773 | 0.8598 | 0.8589 | 0.9036 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
109
 
110
 
111
  ### Framework versions
runs/Jul20_01-59-02_LAPTOP-1GID9RGH/events.out.tfevents.1721415544.LAPTOP-1GID9RGH.19084.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:bb1bfd709bbd24b49ca4bc2f30d8cef10356a01e22726d8dd9b14e96720288fe
3
- size 30994
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9912c8c53115d0498cdbb656fd3f2980e0abfc319f3d21421e0ccdc00c798f89
3
+ size 35424
runs/Jul20_01-59-02_LAPTOP-1GID9RGH/events.out.tfevents.1721417432.LAPTOP-1GID9RGH.19084.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7c78454785c6a573f0be5181aaa04c0cfd0be5bc51f8ade0618bf2e58d49fd63
3
+ size 610