Hugging Face's logo

fydhfzh
/
hubert-classifier-aug-fold-3-old

Audio Classification
Transformers
TensorBoard
Safetensors
hubert
Generated from Trainer
Model card Files Metrics Community
fydhfzh commited on
Commit
e867576
·
verified ·
1 Parent(s): 62e4970

End of training

Browse files
Files changed (4) hide show
  1. README.md +145 -91
  2. model.safetensors +1 -1
  3. runs/Jun28_13-37-03_LAPTOP-1GID9RGH/events.out.tfevents.1719556625.LAPTOP-1GID9RGH.1516.6 +2 -2
  4. runs/Jun28_13-37-03_LAPTOP-1GID9RGH/events.out.tfevents.1719559880.LAPTOP-1GID9RGH.1516.7 +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: 0.5105
24
- - Accuracy: 0.8639
25
- - Precision: 0.8778
26
- - Recall: 0.8639
27
- - F1: 0.8624
28
- - Binary: 0.9049
29
 
30
  ## Model description
31
 
@@ -59,91 +59,145 @@ The following hyperparameters were used during training:
59
 
60
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Binary |
61
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:------:|
62
- | No log | 0.22 | 50 | 3.8852 | 0.0445 | 0.0072 | 0.0445 | 0.0108 | 0.3195 |
63
- | No log | 0.43 | 100 | 3.4756 | 0.0499 | 0.0263 | 0.0499 | 0.0140 | 0.3247 |
64
- | No log | 0.65 | 150 | 3.2680 | 0.0916 | 0.0193 | 0.0916 | 0.0272 | 0.3611 |
65
- | No log | 0.86 | 200 | 3.1133 | 0.1038 | 0.0266 | 0.1038 | 0.0369 | 0.3695 |
66
- | 3.7026 | 1.08 | 250 | 2.9266 | 0.1765 | 0.0816 | 0.1765 | 0.0972 | 0.4212 |
67
- | 3.7026 | 1.29 | 300 | 2.7455 | 0.2412 | 0.1540 | 0.2412 | 0.1516 | 0.4644 |
68
- | 3.7026 | 1.51 | 350 | 2.4869 | 0.2898 | 0.1860 | 0.2898 | 0.1860 | 0.5008 |
69
- | 3.7026 | 1.73 | 400 | 2.2598 | 0.3275 | 0.2377 | 0.3275 | 0.2426 | 0.5284 |
70
- | 3.7026 | 1.94 | 450 | 2.0416 | 0.4232 | 0.3176 | 0.4232 | 0.3356 | 0.5947 |
71
- | 2.8767 | 2.16 | 500 | 1.8498 | 0.4461 | 0.3751 | 0.4461 | 0.3752 | 0.6124 |
72
- | 2.8767 | 2.37 | 550 | 1.6887 | 0.5202 | 0.4826 | 0.5202 | 0.4522 | 0.6639 |
73
- | 2.8767 | 2.59 | 600 | 1.5765 | 0.5256 | 0.4880 | 0.5256 | 0.4630 | 0.6677 |
74
- | 2.8767 | 2.8 | 650 | 1.4405 | 0.5930 | 0.5650 | 0.5930 | 0.5478 | 0.7152 |
75
- | 2.2257 | 3.02 | 700 | 1.3663 | 0.6253 | 0.6037 | 0.6253 | 0.5834 | 0.7371 |
76
- | 2.2257 | 3.24 | 750 | 1.2404 | 0.6577 | 0.6668 | 0.6577 | 0.6159 | 0.7602 |
77
- | 2.2257 | 3.45 | 800 | 1.1946 | 0.6887 | 0.7128 | 0.6887 | 0.6654 | 0.7807 |
78
- | 2.2257 | 3.67 | 850 | 1.0658 | 0.7251 | 0.7319 | 0.7251 | 0.7025 | 0.8073 |
79
- | 2.2257 | 3.88 | 900 | 1.0567 | 0.7129 | 0.7529 | 0.7129 | 0.6874 | 0.7982 |
80
- | 1.8296 | 4.1 | 950 | 1.0013 | 0.7372 | 0.7537 | 0.7372 | 0.7209 | 0.8151 |
81
- | 1.8296 | 4.31 | 1000 | 0.9092 | 0.7534 | 0.7863 | 0.7534 | 0.7388 | 0.8284 |
82
- | 1.8296 | 4.53 | 1050 | 0.8869 | 0.7574 | 0.7865 | 0.7574 | 0.7467 | 0.8313 |
83
- | 1.8296 | 4.75 | 1100 | 0.8033 | 0.7763 | 0.8084 | 0.7763 | 0.7677 | 0.8446 |
84
- | 1.8296 | 4.96 | 1150 | 0.7981 | 0.7790 | 0.8161 | 0.7790 | 0.7664 | 0.8451 |
85
- | 1.6084 | 5.18 | 1200 | 0.7499 | 0.7978 | 0.8090 | 0.7978 | 0.7889 | 0.8588 |
86
- | 1.6084 | 5.39 | 1250 | 0.7066 | 0.7938 | 0.8039 | 0.7938 | 0.7807 | 0.8550 |
87
- | 1.6084 | 5.61 | 1300 | 0.7537 | 0.7938 | 0.8163 | 0.7938 | 0.7871 | 0.8555 |
88
- | 1.6084 | 5.83 | 1350 | 0.7293 | 0.8113 | 0.8328 | 0.8113 | 0.8065 | 0.8687 |
89
- | 1.4253 | 6.04 | 1400 | 0.7055 | 0.7992 | 0.8276 | 0.7992 | 0.7905 | 0.8593 |
90
- | 1.4253 | 6.26 | 1450 | 0.6732 | 0.8059 | 0.8226 | 0.8059 | 0.8003 | 0.8648 |
91
- | 1.4253 | 6.47 | 1500 | 0.6510 | 0.8315 | 0.8461 | 0.8315 | 0.8272 | 0.8838 |
92
- | 1.4253 | 6.69 | 1550 | 0.6113 | 0.8329 | 0.8565 | 0.8329 | 0.8314 | 0.8814 |
93
- | 1.4253 | 6.9 | 1600 | 0.6299 | 0.8248 | 0.8435 | 0.8248 | 0.8215 | 0.8787 |
94
- | 1.2904 | 7.12 | 1650 | 0.6132 | 0.8410 | 0.8553 | 0.8410 | 0.8377 | 0.8900 |
95
- | 1.2904 | 7.34 | 1700 | 0.5883 | 0.8464 | 0.8592 | 0.8464 | 0.8437 | 0.8938 |
96
- | 1.2904 | 7.55 | 1750 | 0.5995 | 0.8437 | 0.8565 | 0.8437 | 0.8363 | 0.8908 |
97
- | 1.2904 | 7.77 | 1800 | 0.5861 | 0.8450 | 0.8612 | 0.8450 | 0.8400 | 0.8923 |
98
- | 1.2904 | 7.98 | 1850 | 0.6007 | 0.8410 | 0.8613 | 0.8410 | 0.8370 | 0.8889 |
99
- | 1.2105 | 8.2 | 1900 | 0.5518 | 0.8437 | 0.8594 | 0.8437 | 0.8407 | 0.8904 |
100
- | 1.2105 | 8.41 | 1950 | 0.5739 | 0.8342 | 0.8522 | 0.8342 | 0.8294 | 0.8846 |
101
- | 1.2105 | 8.63 | 2000 | 0.5998 | 0.8275 | 0.8475 | 0.8275 | 0.8222 | 0.8806 |
102
- | 1.2105 | 8.85 | 2050 | 0.5662 | 0.8531 | 0.8716 | 0.8531 | 0.8471 | 0.8978 |
103
- | 1.1291 | 9.06 | 2100 | 0.5144 | 0.8639 | 0.8818 | 0.8639 | 0.8607 | 0.9040 |
104
- | 1.1291 | 9.28 | 2150 | 0.4782 | 0.8625 | 0.8843 | 0.8625 | 0.8584 | 0.9036 |
105
- | 1.1291 | 9.49 | 2200 | 0.4787 | 0.8612 | 0.8736 | 0.8612 | 0.8571 | 0.9026 |
106
- | 1.1291 | 9.71 | 2250 | 0.4866 | 0.8666 | 0.8800 | 0.8666 | 0.8629 | 0.9050 |
107
- | 1.1291 | 9.92 | 2300 | 0.5999 | 0.8342 | 0.8468 | 0.8342 | 0.8279 | 0.8846 |
108
- | 1.0646 | 10.14 | 2350 | 0.5397 | 0.8518 | 0.8723 | 0.8518 | 0.8496 | 0.8962 |
109
- | 1.0646 | 10.36 | 2400 | 0.4718 | 0.8585 | 0.8761 | 0.8585 | 0.8541 | 0.9005 |
110
- | 1.0646 | 10.57 | 2450 | 0.4909 | 0.8625 | 0.8772 | 0.8625 | 0.8603 | 0.9035 |
111
- | 1.0646 | 10.79 | 2500 | 0.4706 | 0.8544 | 0.8729 | 0.8544 | 0.8510 | 0.8988 |
112
- | 1.0145 | 11.0 | 2550 | 0.4830 | 0.8558 | 0.8692 | 0.8558 | 0.8522 | 0.8993 |
113
- | 1.0145 | 11.22 | 2600 | 0.4926 | 0.8652 | 0.8774 | 0.8652 | 0.8622 | 0.9055 |
114
- | 1.0145 | 11.43 | 2650 | 0.4879 | 0.8693 | 0.8827 | 0.8693 | 0.8672 | 0.9086 |
115
- | 1.0145 | 11.65 | 2700 | 0.5248 | 0.8666 | 0.8811 | 0.8666 | 0.8634 | 0.9063 |
116
- | 1.0145 | 11.87 | 2750 | 0.4835 | 0.8585 | 0.8733 | 0.8585 | 0.8550 | 0.9012 |
117
- | 0.9883 | 12.08 | 2800 | 0.4525 | 0.8814 | 0.8929 | 0.8814 | 0.8807 | 0.9177 |
118
- | 0.9883 | 12.3 | 2850 | 0.4808 | 0.8706 | 0.8856 | 0.8706 | 0.8667 | 0.9101 |
119
- | 0.9883 | 12.51 | 2900 | 0.4736 | 0.8720 | 0.8848 | 0.8720 | 0.8699 | 0.9111 |
120
- | 0.9883 | 12.73 | 2950 | 0.4256 | 0.8774 | 0.8945 | 0.8774 | 0.8762 | 0.9146 |
121
- | 0.9883 | 12.94 | 3000 | 0.4400 | 0.8841 | 0.8953 | 0.8841 | 0.8816 | 0.9182 |
122
- | 0.9479 | 13.16 | 3050 | 0.4743 | 0.8666 | 0.8836 | 0.8666 | 0.8660 | 0.9067 |
123
- | 0.9479 | 13.38 | 3100 | 0.4729 | 0.8760 | 0.8926 | 0.8760 | 0.8749 | 0.9133 |
124
- | 0.9479 | 13.59 | 3150 | 0.4608 | 0.8733 | 0.8857 | 0.8733 | 0.8704 | 0.9105 |
125
- | 0.9479 | 13.81 | 3200 | 0.4206 | 0.8868 | 0.8948 | 0.8868 | 0.8841 | 0.9216 |
126
- | 0.8867 | 14.02 | 3250 | 0.4332 | 0.8881 | 0.8992 | 0.8881 | 0.8871 | 0.9201 |
127
- | 0.8867 | 14.24 | 3300 | 0.4635 | 0.8733 | 0.8860 | 0.8733 | 0.8718 | 0.9108 |
128
- | 0.8867 | 14.46 | 3350 | 0.4691 | 0.8827 | 0.8960 | 0.8827 | 0.8820 | 0.9170 |
129
- | 0.8867 | 14.67 | 3400 | 0.4282 | 0.8774 | 0.8882 | 0.8774 | 0.8754 | 0.9140 |
130
- | 0.8867 | 14.89 | 3450 | 0.4504 | 0.8801 | 0.8917 | 0.8801 | 0.8782 | 0.9162 |
131
- | 0.8593 | 15.1 | 3500 | 0.4781 | 0.8760 | 0.8884 | 0.8760 | 0.8736 | 0.9125 |
132
- | 0.8593 | 15.32 | 3550 | 0.4614 | 0.8895 | 0.8993 | 0.8895 | 0.8878 | 0.9230 |
133
- | 0.8593 | 15.53 | 3600 | 0.4659 | 0.8774 | 0.8918 | 0.8774 | 0.8766 | 0.9151 |
134
- | 0.8593 | 15.75 | 3650 | 0.4496 | 0.8814 | 0.8916 | 0.8814 | 0.8797 | 0.9164 |
135
- | 0.8593 | 15.97 | 3700 | 0.4648 | 0.8827 | 0.8941 | 0.8827 | 0.8817 | 0.9186 |
136
- | 0.8329 | 16.18 | 3750 | 0.4735 | 0.8827 | 0.8962 | 0.8827 | 0.8815 | 0.9182 |
137
- | 0.8329 | 16.4 | 3800 | 0.4255 | 0.8935 | 0.9057 | 0.8935 | 0.8928 | 0.9252 |
138
- | 0.8329 | 16.61 | 3850 | 0.4689 | 0.8747 | 0.8878 | 0.8747 | 0.8739 | 0.9117 |
139
- | 0.8329 | 16.83 | 3900 | 0.4596 | 0.8841 | 0.8948 | 0.8841 | 0.8834 | 0.9183 |
140
- | 0.8168 | 17.04 | 3950 | 0.4942 | 0.8760 | 0.8914 | 0.8760 | 0.8714 | 0.9123 |
141
- | 0.8168 | 17.26 | 4000 | 0.5265 | 0.8747 | 0.8899 | 0.8747 | 0.8733 | 0.9117 |
142
- | 0.8168 | 17.48 | 4050 | 0.4592 | 0.8787 | 0.8910 | 0.8787 | 0.8767 | 0.9150 |
143
- | 0.8168 | 17.69 | 4100 | 0.4839 | 0.8693 | 0.8824 | 0.8693 | 0.8678 | 0.9080 |
144
- | 0.8168 | 17.91 | 4150 | 0.4688 | 0.8827 | 0.8923 | 0.8827 | 0.8804 | 0.9173 |
145
- | 0.7604 | 18.12 | 4200 | 0.4593 | 0.8733 | 0.8834 | 0.8733 | 0.8708 | 0.9098 |
146
- | 0.7604 | 18.34 | 4250 | 0.4871 | 0.8760 | 0.8876 | 0.8760 | 0.8741 | 0.9117 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
147
 
148
 
149
  ### 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: 0.4622
24
+ - Accuracy: 0.8962
25
+ - Precision: 0.9090
26
+ - Recall: 0.8962
27
+ - F1: 0.8963
28
+ - Binary: 0.9276
29
 
30
  ## Model description
31
 
 
59
 
60
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Binary |
61
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:------:|
62
+ | No log | 0.22 | 50 | 3.8684 | 0.0648 | 0.0195 | 0.0648 | 0.0184 | 0.3348 |
63
+ | No log | 0.43 | 100 | 3.4085 | 0.0891 | 0.0169 | 0.0891 | 0.0238 | 0.3588 |
64
+ | No log | 0.65 | 150 | 3.1493 | 0.1107 | 0.0376 | 0.1107 | 0.0422 | 0.3746 |
65
+ | No log | 0.86 | 200 | 2.8408 | 0.1822 | 0.1026 | 0.1822 | 0.1043 | 0.4273 |
66
+ | 3.6116 | 1.08 | 250 | 2.6147 | 0.2780 | 0.1840 | 0.2780 | 0.1853 | 0.4906 |
67
+ | 3.6116 | 1.29 | 300 | 2.4272 | 0.2982 | 0.2217 | 0.2982 | 0.2156 | 0.5023 |
68
+ | 3.6116 | 1.51 | 350 | 2.1582 | 0.4103 | 0.3356 | 0.4103 | 0.3247 | 0.5852 |
69
+ | 3.6116 | 1.72 | 400 | 2.0102 | 0.4143 | 0.3454 | 0.4143 | 0.3447 | 0.5892 |
70
+ | 3.6116 | 1.94 | 450 | 1.8796 | 0.4615 | 0.4433 | 0.4615 | 0.4066 | 0.6225 |
71
+ | 2.6485 | 2.16 | 500 | 1.6625 | 0.5412 | 0.5251 | 0.5412 | 0.4856 | 0.6771 |
72
+ | 2.6485 | 2.37 | 550 | 1.5422 | 0.5843 | 0.5780 | 0.5843 | 0.5307 | 0.7078 |
73
+ | 2.6485 | 2.59 | 600 | 1.4263 | 0.6073 | 0.5806 | 0.6073 | 0.5573 | 0.7246 |
74
+ | 2.6485 | 2.8 | 650 | 1.2985 | 0.6451 | 0.6244 | 0.6451 | 0.6039 | 0.7503 |
75
+ | 2.1146 | 3.02 | 700 | 1.2788 | 0.6613 | 0.6564 | 0.6613 | 0.6273 | 0.7614 |
76
+ | 2.1146 | 3.23 | 750 | 1.2186 | 0.6802 | 0.6820 | 0.6802 | 0.6499 | 0.7742 |
77
+ | 2.1146 | 3.45 | 800 | 1.1269 | 0.7152 | 0.7428 | 0.7152 | 0.6978 | 0.7991 |
78
+ | 2.1146 | 3.66 | 850 | 1.1179 | 0.6680 | 0.6970 | 0.6680 | 0.6377 | 0.7675 |
79
+ | 2.1146 | 3.88 | 900 | 1.0928 | 0.7031 | 0.7264 | 0.7031 | 0.6793 | 0.7889 |
80
+ | 1.8074 | 4.09 | 950 | 0.9427 | 0.7638 | 0.7780 | 0.7638 | 0.7513 | 0.8350 |
81
+ | 1.8074 | 4.31 | 1000 | 0.8876 | 0.7692 | 0.7952 | 0.7692 | 0.7603 | 0.8382 |
82
+ | 1.8074 | 4.53 | 1050 | 0.8686 | 0.7773 | 0.7852 | 0.7773 | 0.7664 | 0.8425 |
83
+ | 1.8074 | 4.74 | 1100 | 0.8814 | 0.7665 | 0.7770 | 0.7665 | 0.7497 | 0.8363 |
84
+ | 1.8074 | 4.96 | 1150 | 0.8280 | 0.7706 | 0.7896 | 0.7706 | 0.7603 | 0.8401 |
85
+ | 1.5857 | 5.17 | 1200 | 0.8050 | 0.7773 | 0.8023 | 0.7773 | 0.7720 | 0.8439 |
86
+ | 1.5857 | 5.39 | 1250 | 0.7475 | 0.8016 | 0.8114 | 0.8016 | 0.7976 | 0.8609 |
87
+ | 1.5857 | 5.6 | 1300 | 0.7396 | 0.7895 | 0.8187 | 0.7895 | 0.7859 | 0.8521 |
88
+ | 1.5857 | 5.82 | 1350 | 0.7637 | 0.8030 | 0.8177 | 0.8030 | 0.7953 | 0.8598 |
89
+ | 1.4411 | 6.03 | 1400 | 0.7511 | 0.7976 | 0.8157 | 0.7976 | 0.7934 | 0.8574 |
90
+ | 1.4411 | 6.25 | 1450 | 0.6479 | 0.8232 | 0.8392 | 0.8232 | 0.8185 | 0.8756 |
91
+ | 1.4411 | 6.47 | 1500 | 0.6521 | 0.8286 | 0.8494 | 0.8286 | 0.8233 | 0.8803 |
92
+ | 1.4411 | 6.68 | 1550 | 0.5778 | 0.8529 | 0.8637 | 0.8529 | 0.8501 | 0.8962 |
93
+ | 1.4411 | 6.9 | 1600 | 0.5898 | 0.8259 | 0.8428 | 0.8259 | 0.8249 | 0.8776 |
94
+ | 1.3162 | 7.11 | 1650 | 0.5784 | 0.8421 | 0.8614 | 0.8421 | 0.8404 | 0.8892 |
95
+ | 1.3162 | 7.33 | 1700 | 0.6395 | 0.8232 | 0.8407 | 0.8232 | 0.8170 | 0.8764 |
96
+ | 1.3162 | 7.54 | 1750 | 0.6334 | 0.8340 | 0.8519 | 0.8340 | 0.8320 | 0.8834 |
97
+ | 1.3162 | 7.76 | 1800 | 0.6133 | 0.8286 | 0.8513 | 0.8286 | 0.8274 | 0.8798 |
98
+ | 1.3162 | 7.97 | 1850 | 0.5488 | 0.8502 | 0.8663 | 0.8502 | 0.8496 | 0.8949 |
99
+ | 1.2312 | 8.19 | 1900 | 0.6521 | 0.8246 | 0.8411 | 0.8246 | 0.8227 | 0.8769 |
100
+ | 1.2312 | 8.41 | 1950 | 0.5706 | 0.8529 | 0.8669 | 0.8529 | 0.8528 | 0.8962 |
101
+ | 1.2312 | 8.62 | 2000 | 0.5822 | 0.8462 | 0.8596 | 0.8462 | 0.8448 | 0.8924 |
102
+ | 1.2312 | 8.84 | 2050 | 0.5332 | 0.8502 | 0.8646 | 0.8502 | 0.8498 | 0.8953 |
103
+ | 1.1409 | 9.05 | 2100 | 0.5226 | 0.8650 | 0.8743 | 0.8650 | 0.8631 | 0.9053 |
104
+ | 1.1409 | 9.27 | 2150 | 0.5451 | 0.8623 | 0.8750 | 0.8623 | 0.8617 | 0.9032 |
105
+ | 1.1409 | 9.48 | 2200 | 0.5940 | 0.8381 | 0.8510 | 0.8381 | 0.8365 | 0.8860 |
106
+ | 1.1409 | 9.7 | 2250 | 0.5303 | 0.8570 | 0.8686 | 0.8570 | 0.8568 | 0.8988 |
107
+ | 1.1409 | 9.91 | 2300 | 0.5706 | 0.8448 | 0.8622 | 0.8448 | 0.8429 | 0.8912 |
108
+ | 1.0865 | 10.13 | 2350 | 0.5140 | 0.8623 | 0.8780 | 0.8623 | 0.8635 | 0.9026 |
109
+ | 1.0865 | 10.34 | 2400 | 0.5106 | 0.8704 | 0.8811 | 0.8704 | 0.8692 | 0.9092 |
110
+ | 1.0865 | 10.56 | 2450 | 0.5478 | 0.8583 | 0.8753 | 0.8583 | 0.8570 | 0.9005 |
111
+ | 1.0865 | 10.78 | 2500 | 0.6036 | 0.8583 | 0.8694 | 0.8583 | 0.8548 | 0.9003 |
112
+ | 1.0865 | 10.99 | 2550 | 0.5360 | 0.8543 | 0.8712 | 0.8543 | 0.8498 | 0.8984 |
113
+ | 1.0383 | 11.21 | 2600 | 0.5426 | 0.8570 | 0.8691 | 0.8570 | 0.8558 | 0.8982 |
114
+ | 1.0383 | 11.42 | 2650 | 0.5124 | 0.8691 | 0.8777 | 0.8691 | 0.8673 | 0.9067 |
115
+ | 1.0383 | 11.64 | 2700 | 0.5676 | 0.8435 | 0.8554 | 0.8435 | 0.8422 | 0.8892 |
116
+ | 1.0383 | 11.85 | 2750 | 0.5387 | 0.8596 | 0.8700 | 0.8596 | 0.8590 | 0.9022 |
117
+ | 0.9938 | 12.07 | 2800 | 0.5402 | 0.8691 | 0.8778 | 0.8691 | 0.8675 | 0.9089 |
118
+ | 0.9938 | 12.28 | 2850 | 0.5814 | 0.8529 | 0.8603 | 0.8529 | 0.8496 | 0.8969 |
119
+ | 0.9938 | 12.5 | 2900 | 0.5124 | 0.8623 | 0.8705 | 0.8623 | 0.8594 | 0.9034 |
120
+ | 0.9938 | 12.72 | 2950 | 0.5077 | 0.8623 | 0.8739 | 0.8623 | 0.8604 | 0.9032 |
121
+ | 0.9938 | 12.93 | 3000 | 0.5305 | 0.8704 | 0.8785 | 0.8704 | 0.8675 | 0.9101 |
122
+ | 0.9526 | 13.15 | 3050 | 0.5455 | 0.8718 | 0.8849 | 0.8718 | 0.8707 | 0.9100 |
123
+ | 0.9526 | 13.36 | 3100 | 0.5153 | 0.8826 | 0.8939 | 0.8826 | 0.8822 | 0.9175 |
124
+ | 0.9526 | 13.58 | 3150 | 0.5218 | 0.8826 | 0.8902 | 0.8826 | 0.8813 | 0.9167 |
125
+ | 0.9526 | 13.79 | 3200 | 0.5361 | 0.8637 | 0.8756 | 0.8637 | 0.8634 | 0.9030 |
126
+ | 0.91 | 14.01 | 3250 | 0.5174 | 0.8785 | 0.8873 | 0.8785 | 0.8780 | 0.9139 |
127
+ | 0.91 | 14.22 | 3300 | 0.5346 | 0.8799 | 0.8892 | 0.8799 | 0.8787 | 0.9158 |
128
+ | 0.91 | 14.44 | 3350 | 0.5586 | 0.8650 | 0.8747 | 0.8650 | 0.8634 | 0.9050 |
129
+ | 0.91 | 14.66 | 3400 | 0.5504 | 0.8704 | 0.8816 | 0.8704 | 0.8698 | 0.9097 |
130
+ | 0.91 | 14.87 | 3450 | 0.5643 | 0.8718 | 0.8814 | 0.8718 | 0.8700 | 0.9101 |
131
+ | 0.8689 | 15.09 | 3500 | 0.5425 | 0.8650 | 0.8766 | 0.8650 | 0.8642 | 0.9043 |
132
+ | 0.8689 | 15.3 | 3550 | 0.5609 | 0.8623 | 0.8775 | 0.8623 | 0.8616 | 0.9038 |
133
+ | 0.8689 | 15.52 | 3600 | 0.5440 | 0.8745 | 0.8847 | 0.8745 | 0.8739 | 0.9116 |
134
+ | 0.8689 | 15.73 | 3650 | 0.5020 | 0.8718 | 0.8814 | 0.8718 | 0.8714 | 0.9103 |
135
+ | 0.8689 | 15.95 | 3700 | 0.5650 | 0.8718 | 0.8810 | 0.8718 | 0.8704 | 0.9099 |
136
+ | 0.8437 | 16.16 | 3750 | 0.5115 | 0.8785 | 0.8874 | 0.8785 | 0.8774 | 0.9146 |
137
+ | 0.8437 | 16.38 | 3800 | 0.5651 | 0.8596 | 0.8735 | 0.8596 | 0.8592 | 0.9022 |
138
+ | 0.8437 | 16.59 | 3850 | 0.4996 | 0.8920 | 0.9025 | 0.8920 | 0.8921 | 0.9242 |
139
+ | 0.8437 | 16.81 | 3900 | 0.5528 | 0.8772 | 0.8887 | 0.8772 | 0.8765 | 0.9134 |
140
+ | 0.8213 | 17.03 | 3950 | 0.5568 | 0.8677 | 0.8816 | 0.8677 | 0.8666 | 0.9074 |
141
+ | 0.8213 | 17.24 | 4000 | 0.5270 | 0.8812 | 0.8906 | 0.8812 | 0.8804 | 0.9167 |
142
+ | 0.8213 | 17.46 | 4050 | 0.5239 | 0.8812 | 0.8922 | 0.8812 | 0.8800 | 0.9162 |
143
+ | 0.8213 | 17.67 | 4100 | 0.4915 | 0.8839 | 0.8921 | 0.8839 | 0.8834 | 0.9181 |
144
+ | 0.8213 | 17.89 | 4150 | 0.5282 | 0.8812 | 0.8914 | 0.8812 | 0.8807 | 0.9152 |
145
+ | 0.7835 | 18.1 | 4200 | 0.5031 | 0.8866 | 0.8959 | 0.8866 | 0.8865 | 0.9194 |
146
+ | 0.7835 | 18.32 | 4250 | 0.4997 | 0.8812 | 0.8898 | 0.8812 | 0.8803 | 0.9158 |
147
+ | 0.7835 | 18.53 | 4300 | 0.5080 | 0.8826 | 0.8904 | 0.8826 | 0.8809 | 0.9167 |
148
+ | 0.7835 | 18.75 | 4350 | 0.5264 | 0.8812 | 0.8898 | 0.8812 | 0.8800 | 0.9158 |
149
+ | 0.7835 | 18.97 | 4400 | 0.5487 | 0.8718 | 0.8808 | 0.8718 | 0.8707 | 0.9105 |
150
+ | 0.7606 | 19.18 | 4450 | 0.5266 | 0.8772 | 0.8877 | 0.8772 | 0.8759 | 0.9139 |
151
+ | 0.7606 | 19.4 | 4500 | 0.5257 | 0.8772 | 0.8875 | 0.8772 | 0.8770 | 0.9139 |
152
+ | 0.7606 | 19.61 | 4550 | 0.5321 | 0.8880 | 0.8977 | 0.8880 | 0.8882 | 0.9215 |
153
+ | 0.7606 | 19.83 | 4600 | 0.5349 | 0.8772 | 0.8880 | 0.8772 | 0.8765 | 0.9139 |
154
+ | 0.7342 | 20.04 | 4650 | 0.5250 | 0.8880 | 0.8962 | 0.8880 | 0.8877 | 0.9219 |
155
+ | 0.7342 | 20.26 | 4700 | 0.5081 | 0.8907 | 0.8990 | 0.8907 | 0.8904 | 0.9232 |
156
+ | 0.7342 | 20.47 | 4750 | 0.4958 | 0.8839 | 0.8941 | 0.8839 | 0.8842 | 0.9171 |
157
+ | 0.7342 | 20.69 | 4800 | 0.5293 | 0.8826 | 0.8928 | 0.8826 | 0.8819 | 0.9181 |
158
+ | 0.7342 | 20.91 | 4850 | 0.5094 | 0.8812 | 0.8924 | 0.8812 | 0.8805 | 0.9167 |
159
+ | 0.7129 | 21.12 | 4900 | 0.4922 | 0.8920 | 0.8997 | 0.8920 | 0.8908 | 0.9242 |
160
+ | 0.7129 | 21.34 | 4950 | 0.5078 | 0.8907 | 0.9000 | 0.8907 | 0.8901 | 0.9238 |
161
+ | 0.7129 | 21.55 | 5000 | 0.5303 | 0.8799 | 0.8892 | 0.8799 | 0.8781 | 0.9167 |
162
+ | 0.7129 | 21.77 | 5050 | 0.5531 | 0.8731 | 0.8842 | 0.8731 | 0.8711 | 0.9115 |
163
+ | 0.7129 | 21.98 | 5100 | 0.5572 | 0.8799 | 0.8920 | 0.8799 | 0.8784 | 0.9158 |
164
+ | 0.7032 | 22.2 | 5150 | 0.5151 | 0.8799 | 0.8903 | 0.8799 | 0.8793 | 0.9167 |
165
+ | 0.7032 | 22.41 | 5200 | 0.5090 | 0.8812 | 0.8921 | 0.8812 | 0.8808 | 0.9177 |
166
+ | 0.7032 | 22.63 | 5250 | 0.5318 | 0.8799 | 0.8891 | 0.8799 | 0.8785 | 0.9158 |
167
+ | 0.7032 | 22.84 | 5300 | 0.5114 | 0.8826 | 0.8897 | 0.8826 | 0.8812 | 0.9171 |
168
+ | 0.6809 | 23.06 | 5350 | 0.5049 | 0.8866 | 0.8946 | 0.8866 | 0.8858 | 0.9209 |
169
+ | 0.6809 | 23.28 | 5400 | 0.5378 | 0.8799 | 0.8901 | 0.8799 | 0.8786 | 0.9152 |
170
+ | 0.6809 | 23.49 | 5450 | 0.5088 | 0.8812 | 0.8905 | 0.8812 | 0.8806 | 0.9158 |
171
+ | 0.6809 | 23.71 | 5500 | 0.4883 | 0.8920 | 0.9033 | 0.8920 | 0.8925 | 0.9252 |
172
+ | 0.6809 | 23.92 | 5550 | 0.5168 | 0.8799 | 0.8911 | 0.8799 | 0.8800 | 0.9152 |
173
+ | 0.6604 | 24.14 | 5600 | 0.5167 | 0.8799 | 0.8907 | 0.8799 | 0.8795 | 0.9148 |
174
+ | 0.6604 | 24.35 | 5650 | 0.5092 | 0.8866 | 0.9011 | 0.8866 | 0.8878 | 0.9200 |
175
+ | 0.6604 | 24.57 | 5700 | 0.5048 | 0.8961 | 0.9069 | 0.8961 | 0.8965 | 0.9270 |
176
+ | 0.6604 | 24.78 | 5750 | 0.5303 | 0.8839 | 0.8973 | 0.8839 | 0.8835 | 0.9186 |
177
+ | 0.6604 | 25.0 | 5800 | 0.4996 | 0.8934 | 0.9041 | 0.8934 | 0.8939 | 0.9242 |
178
+ | 0.6595 | 25.22 | 5850 | 0.5095 | 0.8934 | 0.9033 | 0.8934 | 0.8927 | 0.9242 |
179
+ | 0.6595 | 25.43 | 5900 | 0.5109 | 0.8920 | 0.9024 | 0.8920 | 0.8921 | 0.9232 |
180
+ | 0.6595 | 25.65 | 5950 | 0.4993 | 0.8893 | 0.8973 | 0.8893 | 0.8890 | 0.9219 |
181
+ | 0.6595 | 25.86 | 6000 | 0.4954 | 0.8934 | 0.9022 | 0.8934 | 0.8928 | 0.9247 |
182
+ | 0.6347 | 26.08 | 6050 | 0.4939 | 0.8988 | 0.9076 | 0.8988 | 0.8986 | 0.9279 |
183
+ | 0.6347 | 26.29 | 6100 | 0.4820 | 0.8974 | 0.9049 | 0.8974 | 0.8970 | 0.9270 |
184
+ | 0.6347 | 26.51 | 6150 | 0.5168 | 0.8880 | 0.8952 | 0.8880 | 0.8869 | 0.9205 |
185
+ | 0.6347 | 26.72 | 6200 | 0.5275 | 0.8839 | 0.8916 | 0.8839 | 0.8827 | 0.9181 |
186
+ | 0.6347 | 26.94 | 6250 | 0.5026 | 0.8907 | 0.8991 | 0.8907 | 0.8898 | 0.9219 |
187
+ | 0.6361 | 27.16 | 6300 | 0.5003 | 0.8988 | 0.9076 | 0.8988 | 0.8984 | 0.9275 |
188
+ | 0.6361 | 27.37 | 6350 | 0.4777 | 0.8988 | 0.9069 | 0.8988 | 0.8984 | 0.9275 |
189
+ | 0.6361 | 27.59 | 6400 | 0.4904 | 0.8988 | 0.9079 | 0.8988 | 0.8986 | 0.9275 |
190
+ | 0.6361 | 27.8 | 6450 | 0.4885 | 0.9001 | 0.9084 | 0.9001 | 0.8998 | 0.9285 |
191
+ | 0.631 | 28.02 | 6500 | 0.5134 | 0.8893 | 0.8973 | 0.8893 | 0.8882 | 0.9209 |
192
+ | 0.631 | 28.23 | 6550 | 0.5128 | 0.8920 | 0.9011 | 0.8920 | 0.8916 | 0.9232 |
193
+ | 0.631 | 28.45 | 6600 | 0.5136 | 0.8947 | 0.9032 | 0.8947 | 0.8942 | 0.9251 |
194
+ | 0.631 | 28.66 | 6650 | 0.5148 | 0.8907 | 0.8998 | 0.8907 | 0.8900 | 0.9219 |
195
+ | 0.631 | 28.88 | 6700 | 0.5143 | 0.8893 | 0.8971 | 0.8893 | 0.8883 | 0.9215 |
196
+ | 0.6104 | 29.09 | 6750 | 0.5237 | 0.8853 | 0.8952 | 0.8853 | 0.8844 | 0.9181 |
197
+ | 0.6104 | 29.31 | 6800 | 0.5187 | 0.8880 | 0.8976 | 0.8880 | 0.8873 | 0.9200 |
198
+ | 0.6104 | 29.53 | 6850 | 0.5183 | 0.8866 | 0.8964 | 0.8866 | 0.8860 | 0.9190 |
199
+ | 0.6104 | 29.74 | 6900 | 0.5172 | 0.8907 | 0.9006 | 0.8907 | 0.8899 | 0.9219 |
200
+ | 0.6104 | 29.96 | 6950 | 0.5141 | 0.8907 | 0.9001 | 0.8907 | 0.8902 | 0.9219 |
201
 
202
 
203
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ca80e7eef73c1d8b05cbfaf8da8a4fa5e5569a7d44bea91b62991bea9d7844bd
3
  size 378386248
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:730332c9d82e7abea77b9f1af34107bf45ae08c5647609446a340ffa36d3ab8b
3
  size 378386248
runs/Jun28_13-37-03_LAPTOP-1GID9RGH/events.out.tfevents.1719556625.LAPTOP-1GID9RGH.1516.6 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:5aad93e28bb251f345984f454cdd83fcf22ebbdba524299e070a169bd1d77f17
3
- size 82827
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6df8f68c05fc60125f2f061bd2648d94cebd0f62071e27fb4f6984c2a719e7cd
3
+ size 88301
runs/Jun28_13-37-03_LAPTOP-1GID9RGH/events.out.tfevents.1719559880.LAPTOP-1GID9RGH.1516.7 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:98f5de52ebc9b7b3358ddb51445b9ed0ae5ddf4a2a296a2de7896e3a082a938e
3
+ size 610