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  1. README.md +158 -158
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.3913
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  - Accuracy: 0.0
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  ## Model description
@@ -49,163 +49,163 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
51
  |:-------------:|:------:|:-----:|:---------------:|:--------:|
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- | No log | 0 | 0 | 2.6439 | 0.0 |
53
- | 2.6225 | 0.0064 | 100 | 2.6206 | 0.0 |
54
- | 2.5747 | 0.0128 | 200 | 2.5737 | 0.0 |
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- | 2.532 | 0.0192 | 300 | 2.5299 | 0.0 |
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- | 2.4906 | 0.0256 | 400 | 2.4887 | 0.0 |
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- | 2.458 | 0.032 | 500 | 2.4563 | 0.0 |
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- | 2.4362 | 0.0384 | 600 | 2.4341 | 0.0 |
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- | 2.4228 | 0.0448 | 700 | 2.4199 | 0.0 |
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- | 2.4101 | 0.0512 | 800 | 2.4106 | 0.0 |
61
- | 2.3985 | 0.0576 | 900 | 2.4019 | 0.0 |
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- | 2.3933 | 0.064 | 1000 | 2.3970 | 0.0 |
63
- | 2.3863 | 0.0704 | 1100 | 2.4012 | 0.0 |
64
- | 2.3755 | 0.0768 | 1200 | 2.4138 | 0.0 |
65
- | 2.3761 | 0.0832 | 1300 | 2.3951 | 0.0 |
66
- | 2.3719 | 0.0896 | 1400 | 2.3799 | 0.0 |
67
- | 2.3739 | 0.096 | 1500 | 2.3844 | 0.0 |
68
- | 2.3714 | 0.1024 | 1600 | 2.3876 | 0.0 |
69
- | 2.3671 | 0.1088 | 1700 | 2.3918 | 0.0 |
70
- | 2.3652 | 0.1152 | 1800 | 2.3910 | 0.0 |
71
- | 2.3665 | 0.1216 | 1900 | 2.3939 | 0.0 |
72
- | 2.3671 | 0.128 | 2000 | 2.4437 | 0.0 |
73
- | 2.3652 | 0.1344 | 2100 | 2.3865 | 0.0 |
74
- | 2.3597 | 0.1408 | 2200 | 2.4123 | 0.0 |
75
- | 2.3642 | 0.1472 | 2300 | 2.3968 | 0.0 |
76
- | 2.3744 | 0.1536 | 2400 | 2.3691 | 0.0 |
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- | 2.3699 | 0.16 | 2500 | 2.3906 | 0.0 |
78
- | 2.3652 | 0.1664 | 2600 | 2.3917 | 0.0 |
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- | 2.365 | 0.1728 | 2700 | 2.3736 | 0.0 |
80
- | 2.3601 | 0.1792 | 2800 | 2.3954 | 0.0 |
81
- | 2.3617 | 0.1856 | 2900 | 2.4001 | 0.0 |
82
- | 2.3626 | 0.192 | 3000 | 2.3838 | 0.0 |
83
- | 2.3629 | 0.1984 | 3100 | 2.4000 | 0.0 |
84
- | 2.3747 | 0.2048 | 3200 | 2.3742 | 0.0 |
85
- | 2.3582 | 0.2112 | 3300 | 2.3776 | 0.0 |
86
- | 2.3633 | 0.2176 | 3400 | 2.3883 | 0.0 |
87
- | 2.3695 | 0.224 | 3500 | 2.3982 | 0.0 |
88
- | 2.3691 | 0.2304 | 3600 | 2.3675 | 0.0 |
89
- | 2.3554 | 0.2368 | 3700 | 2.3930 | 0.0 |
90
- | 2.3586 | 0.2432 | 3800 | 2.3859 | 0.0 |
91
- | 2.3683 | 0.2496 | 3900 | 2.4121 | 0.0 |
92
- | 2.3614 | 0.256 | 4000 | 2.3832 | 0.0 |
93
- | 2.3662 | 0.2624 | 4100 | 2.3990 | 0.0 |
94
- | 2.3669 | 0.2688 | 4200 | 2.3810 | 0.0 |
95
- | 2.3628 | 0.2752 | 4300 | 2.3730 | 0.0 |
96
- | 2.3619 | 0.2816 | 4400 | 2.3770 | 0.0 |
97
- | 2.3578 | 0.288 | 4500 | 2.4060 | 0.0 |
98
- | 2.3636 | 0.2944 | 4600 | 2.3799 | 0.0 |
99
- | 2.3542 | 0.3008 | 4700 | 2.3775 | 0.0 |
100
- | 2.358 | 0.3072 | 4800 | 2.3850 | 0.0 |
101
- | 2.3581 | 0.3136 | 4900 | 2.3708 | 0.0 |
102
- | 2.3649 | 0.32 | 5000 | 2.3891 | 0.0 |
103
- | 2.3557 | 0.3264 | 5100 | 2.3882 | 0.0 |
104
- | 2.3605 | 0.3328 | 5200 | 2.3921 | 0.0 |
105
- | 2.36 | 0.3392 | 5300 | 2.3658 | 0.0 |
106
- | 2.3586 | 0.3456 | 5400 | 2.3626 | 0.0 |
107
- | 2.3622 | 0.352 | 5500 | 2.3836 | 0.0 |
108
- | 2.3602 | 0.3584 | 5600 | 2.3953 | 0.0 |
109
- | 2.3598 | 0.3648 | 5700 | 2.3848 | 0.0 |
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- | 2.3687 | 0.3712 | 5800 | 2.3791 | 0.0 |
111
- | 2.3632 | 0.3776 | 5900 | 2.3883 | 0.0 |
112
- | 2.3621 | 0.384 | 6000 | 2.3718 | 0.0 |
113
- | 2.3532 | 0.3904 | 6100 | 2.3732 | 0.0 |
114
- | 2.3594 | 0.3968 | 6200 | 2.3984 | 0.0 |
115
- | 2.357 | 0.4032 | 6300 | 2.3686 | 0.0 |
116
- | 2.3685 | 0.4096 | 6400 | 2.3903 | 0.0 |
117
- | 2.3691 | 0.416 | 6500 | 2.3985 | 0.0 |
118
- | 2.3679 | 0.4224 | 6600 | 2.4036 | 0.0 |
119
- | 2.3596 | 0.4288 | 6700 | 2.4073 | 0.0 |
120
- | 2.3562 | 0.4352 | 6800 | 2.3862 | 0.0 |
121
- | 2.3565 | 0.4416 | 6900 | 2.3889 | 0.0 |
122
- | 2.3567 | 0.448 | 7000 | 2.3803 | 0.0 |
123
- | 2.3599 | 0.4544 | 7100 | 2.4093 | 0.0 |
124
- | 2.3642 | 0.4608 | 7200 | 2.3845 | 0.0 |
125
- | 2.363 | 0.4672 | 7300 | 2.4053 | 0.0 |
126
- | 2.3574 | 0.4736 | 7400 | 2.3831 | 0.0 |
127
- | 2.3568 | 0.48 | 7500 | 2.3708 | 0.0 |
128
- | 2.359 | 0.4864 | 7600 | 2.3923 | 0.0 |
129
- | 2.3606 | 0.4928 | 7700 | 2.3905 | 0.0 |
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- | 2.3586 | 0.4992 | 7800 | 2.3900 | 0.0 |
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- | 2.3586 | 0.5056 | 7900 | 2.3879 | 0.0 |
132
- | 2.355 | 0.512 | 8000 | 2.4135 | 0.0 |
133
- | 2.3563 | 0.5184 | 8100 | 2.3835 | 0.0 |
134
- | 2.3534 | 0.5248 | 8200 | 2.3811 | 0.0 |
135
- | 2.3543 | 0.5312 | 8300 | 2.3961 | 0.0 |
136
- | 2.3615 | 0.5376 | 8400 | 2.3887 | 0.0 |
137
- | 2.3631 | 0.544 | 8500 | 2.4038 | 0.0 |
138
- | 2.3585 | 0.5504 | 8600 | 2.3879 | 0.0 |
139
- | 2.3554 | 0.5568 | 8700 | 2.3969 | 0.0 |
140
- | 2.3639 | 0.5632 | 8800 | 2.3789 | 0.0 |
141
- | 2.3625 | 0.5696 | 8900 | 2.3811 | 0.0 |
142
- | 2.3626 | 0.576 | 9000 | 2.4053 | 0.0 |
143
- | 2.357 | 0.5824 | 9100 | 2.3868 | 0.0 |
144
- | 2.3604 | 0.5888 | 9200 | 2.4017 | 0.0 |
145
- | 2.3699 | 0.5952 | 9300 | 2.4061 | 0.0 |
146
- | 2.3659 | 0.6016 | 9400 | 2.3819 | 0.0 |
147
- | 2.3598 | 0.608 | 9500 | 2.3863 | 0.0 |
148
- | 2.3628 | 0.6144 | 9600 | 2.4134 | 0.0 |
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- | 2.3622 | 0.6208 | 9700 | 2.3955 | 0.0 |
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- | 2.3579 | 0.6272 | 9800 | 2.3906 | 0.0 |
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- | 2.366 | 0.6336 | 9900 | 2.3719 | 0.0 |
152
- | 2.3589 | 0.64 | 10000 | 2.3942 | 0.0 |
153
- | 2.3563 | 0.6464 | 10100 | 2.4036 | 0.0 |
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- | 2.361 | 0.6528 | 10200 | 2.4062 | 0.0 |
155
- | 2.3534 | 0.6592 | 10300 | 2.4052 | 0.0 |
156
- | 2.3631 | 0.6656 | 10400 | 2.3990 | 0.0 |
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- | 2.3585 | 0.672 | 10500 | 2.3879 | 0.0 |
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- | 2.3585 | 0.6784 | 10600 | 2.4013 | 0.0 |
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- | 2.3627 | 0.6848 | 10700 | 2.3945 | 0.0 |
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- | 2.3665 | 0.6912 | 10800 | 2.3960 | 0.0 |
161
- | 2.3555 | 0.6976 | 10900 | 2.3682 | 0.0 |
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- | 2.3579 | 0.704 | 11000 | 2.3917 | 0.0 |
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- | 2.3541 | 0.7104 | 11100 | 2.3900 | 0.0 |
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- | 2.3606 | 0.7168 | 11200 | 2.3906 | 0.0 |
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- | 2.3655 | 0.7232 | 11300 | 2.3892 | 0.0 |
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- | 2.3606 | 0.7296 | 11400 | 2.3906 | 0.0 |
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- | 2.3653 | 0.736 | 11500 | 2.3801 | 0.0 |
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- | 2.3605 | 0.7424 | 11600 | 2.3826 | 0.0 |
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- | 2.3603 | 0.7488 | 11700 | 2.4100 | 0.0 |
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- | 2.3558 | 0.7552 | 11800 | 2.3831 | 0.0 |
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- | 2.3595 | 0.7616 | 11900 | 2.3885 | 0.0 |
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- | 2.3602 | 0.768 | 12000 | 2.3774 | 0.0 |
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- | 2.356 | 0.7744 | 12100 | 2.3919 | 0.0 |
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- | 2.3636 | 0.7808 | 12200 | 2.3879 | 0.0 |
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- | 2.3604 | 0.7872 | 12300 | 2.3819 | 0.0 |
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- | 2.3515 | 0.7936 | 12400 | 2.3866 | 0.0 |
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- | 2.351 | 0.8 | 12500 | 2.3947 | 0.0 |
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- | 2.3564 | 0.8064 | 12600 | 2.3785 | 0.0 |
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- | 2.3645 | 0.8128 | 12700 | 2.3987 | 0.0 |
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- | 2.3584 | 0.8192 | 12800 | 2.3957 | 0.0 |
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- | 2.3568 | 0.8256 | 12900 | 2.3910 | 0.0 |
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- | 2.3664 | 0.832 | 13000 | 2.3861 | 0.0 |
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- | 2.361 | 0.8384 | 13100 | 2.3990 | 0.0 |
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- | 2.3603 | 0.8448 | 13200 | 2.3852 | 0.0 |
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- | 2.3514 | 0.8512 | 13300 | 2.3950 | 0.0 |
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- | 2.3636 | 0.8576 | 13400 | 2.3925 | 0.0 |
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- | 2.3601 | 0.864 | 13500 | 2.3933 | 0.0 |
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- | 2.3539 | 0.8704 | 13600 | 2.3955 | 0.0 |
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- | 2.3547 | 0.8768 | 13700 | 2.3953 | 0.0 |
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- | 2.3632 | 0.8832 | 13800 | 2.3906 | 0.0 |
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- | 2.3582 | 0.8896 | 13900 | 2.3925 | 0.0 |
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- | 2.3599 | 0.896 | 14000 | 2.3853 | 0.0 |
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- | 2.3652 | 0.9024 | 14100 | 2.3966 | 0.0 |
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- | 2.362 | 0.9088 | 14200 | 2.3913 | 0.0 |
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- | 2.3554 | 0.9152 | 14300 | 2.3931 | 0.0 |
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- | 2.366 | 0.9216 | 14400 | 2.3922 | 0.0 |
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- | 2.3592 | 0.928 | 14500 | 2.3872 | 0.0 |
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- | 2.3616 | 0.9344 | 14600 | 2.3926 | 0.0 |
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- | 2.3605 | 0.9408 | 14700 | 2.3899 | 0.0 |
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- | 2.3642 | 0.9472 | 14800 | 2.3907 | 0.0 |
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- | 2.3556 | 0.9536 | 14900 | 2.3904 | 0.0 |
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- | 2.3525 | 0.96 | 15000 | 2.3889 | 0.0 |
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- | 2.3569 | 0.9664 | 15100 | 2.3939 | 0.0 |
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- | 2.3546 | 0.9728 | 15200 | 2.3918 | 0.0 |
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- | 2.3616 | 0.9792 | 15300 | 2.3908 | 0.0 |
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- | 2.3618 | 0.9856 | 15400 | 2.3913 | 0.0 |
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- | 2.3604 | 0.992 | 15500 | 2.3913 | 0.0 |
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- | 2.3583 | 0.9984 | 15600 | 2.3913 | 0.0 |
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  ### Framework versions
 
16
 
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
18
  It achieves the following results on the evaluation set:
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+ - Loss: 2.5994
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  - Accuracy: 0.0
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  ## Model description
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:------:|:-----:|:---------------:|:--------:|
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+ | No log | 0 | 0 | 2.6405 | 0.0 |
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+ | 2.6234 | 0.0064 | 100 | 2.6259 | 0.0 |
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+ | 2.577 | 0.0128 | 200 | 2.5785 | 0.0 |
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+ | 2.5307 | 0.0192 | 300 | 2.5300 | 0.0 |
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+ | 2.4899 | 0.0256 | 400 | 2.4878 | 0.0 |
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+ | 2.4573 | 0.032 | 500 | 2.4559 | 0.0 |
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+ | 2.4345 | 0.0384 | 600 | 2.4337 | 0.0 |
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+ | 2.4184 | 0.0448 | 700 | 2.4186 | 0.0 |
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+ | 2.4046 | 0.0512 | 800 | 2.4096 | 0.0 |
61
+ | 2.3941 | 0.0576 | 900 | 2.3994 | 0.0 |
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+ | 2.3886 | 0.064 | 1000 | 2.3996 | 0.0 |
63
+ | 2.3771 | 0.0704 | 1100 | 2.4505 | 0.0 |
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+ | 2.37 | 0.0768 | 1200 | 2.4449 | 0.0 |
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+ | 2.3755 | 0.0832 | 1300 | 2.4213 | 0.0 |
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+ | 2.3742 | 0.0896 | 1400 | 2.5070 | 0.0 |
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+ | 2.3745 | 0.096 | 1500 | 2.4311 | 0.0 |
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+ | 2.3674 | 0.1024 | 1600 | 2.4830 | 0.0 |
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+ | 2.3656 | 0.1088 | 1700 | 2.4634 | 0.0 |
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+ | 2.3616 | 0.1152 | 1800 | 2.4772 | 0.0 |
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+ | 2.3681 | 0.1216 | 1900 | 2.4977 | 0.0 |
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+ | 2.3728 | 0.128 | 2000 | 2.6562 | 0.0 |
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+ | 2.3677 | 0.1344 | 2100 | 2.4819 | 0.0 |
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+ | 2.3676 | 0.1408 | 2200 | 2.4610 | 0.0 |
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+ | 2.3634 | 0.1472 | 2300 | 2.5009 | 0.0 |
76
+ | 2.3705 | 0.1536 | 2400 | 2.4709 | 0.0 |
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+ | 2.3663 | 0.16 | 2500 | 2.4841 | 0.0 |
78
+ | 2.3676 | 0.1664 | 2600 | 2.5541 | 0.0 |
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+ | 2.3573 | 0.1728 | 2700 | 2.4714 | 0.0 |
80
+ | 2.3642 | 0.1792 | 2800 | 2.4749 | 0.0 |
81
+ | 2.3626 | 0.1856 | 2900 | 2.5095 | 0.0 |
82
+ | 2.365 | 0.192 | 3000 | 2.5000 | 0.0 |
83
+ | 2.3592 | 0.1984 | 3100 | 2.5363 | 0.0 |
84
+ | 2.3649 | 0.2048 | 3200 | 2.4799 | 0.0 |
85
+ | 2.3576 | 0.2112 | 3300 | 2.4855 | 0.0 |
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+ | 2.3679 | 0.2176 | 3400 | 2.5114 | 0.0 |
87
+ | 2.3647 | 0.224 | 3500 | 2.5487 | 0.0 |
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+ | 2.371 | 0.2304 | 3600 | 2.4369 | 0.0 |
89
+ | 2.354 | 0.2368 | 3700 | 2.5066 | 0.0 |
90
+ | 2.3581 | 0.2432 | 3800 | 2.4871 | 0.0 |
91
+ | 2.364 | 0.2496 | 3900 | 2.5979 | 0.0 |
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+ | 2.3597 | 0.256 | 4000 | 2.5254 | 0.0 |
93
+ | 2.3675 | 0.2624 | 4100 | 2.5234 | 0.0 |
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+ | 2.3613 | 0.2688 | 4200 | 2.4946 | 0.0 |
95
+ | 2.3629 | 0.2752 | 4300 | 2.4694 | 0.0 |
96
+ | 2.3609 | 0.2816 | 4400 | 2.4860 | 0.0 |
97
+ | 2.355 | 0.288 | 4500 | 2.5495 | 0.0 |
98
+ | 2.3633 | 0.2944 | 4600 | 2.5450 | 0.0 |
99
+ | 2.3577 | 0.3008 | 4700 | 2.5079 | 0.0 |
100
+ | 2.3628 | 0.3072 | 4800 | 2.5156 | 0.0 |
101
+ | 2.3549 | 0.3136 | 4900 | 2.4778 | 0.0 |
102
+ | 2.3621 | 0.32 | 5000 | 2.5554 | 0.0 |
103
+ | 2.3563 | 0.3264 | 5100 | 2.5000 | 0.0 |
104
+ | 2.3624 | 0.3328 | 5200 | 2.5690 | 0.0 |
105
+ | 2.3563 | 0.3392 | 5300 | 2.4614 | 0.0 |
106
+ | 2.3553 | 0.3456 | 5400 | 2.4333 | 0.0 |
107
+ | 2.3573 | 0.352 | 5500 | 2.4946 | 0.0 |
108
+ | 2.3586 | 0.3584 | 5600 | 2.5507 | 0.0 |
109
+ | 2.3608 | 0.3648 | 5700 | 2.5246 | 0.0 |
110
+ | 2.3626 | 0.3712 | 5800 | 2.4721 | 0.0 |
111
+ | 2.3635 | 0.3776 | 5900 | 2.5269 | 0.0 |
112
+ | 2.3555 | 0.384 | 6000 | 2.4758 | 0.0 |
113
+ | 2.3607 | 0.3904 | 6100 | 2.5192 | 0.0 |
114
+ | 2.3559 | 0.3968 | 6200 | 2.5747 | 0.0 |
115
+ | 2.3664 | 0.4032 | 6300 | 2.4620 | 0.0 |
116
+ | 2.3604 | 0.4096 | 6400 | 2.5626 | 0.0 |
117
+ | 2.3647 | 0.416 | 6500 | 2.5473 | 0.0 |
118
+ | 2.3624 | 0.4224 | 6600 | 2.5852 | 0.0 |
119
+ | 2.3574 | 0.4288 | 6700 | 2.6200 | 0.0 |
120
+ | 2.36 | 0.4352 | 6800 | 2.5269 | 0.0 |
121
+ | 2.3557 | 0.4416 | 6900 | 2.5453 | 0.0 |
122
+ | 2.3603 | 0.448 | 7000 | 2.5212 | 0.0 |
123
+ | 2.3569 | 0.4544 | 7100 | 2.6011 | 0.0 |
124
+ | 2.3544 | 0.4608 | 7200 | 2.5631 | 0.0 |
125
+ | 2.3613 | 0.4672 | 7300 | 2.5656 | 0.0 |
126
+ | 2.3565 | 0.4736 | 7400 | 2.5427 | 0.0 |
127
+ | 2.3551 | 0.48 | 7500 | 2.4880 | 0.0 |
128
+ | 2.3585 | 0.4864 | 7600 | 2.5707 | 0.0 |
129
+ | 2.3576 | 0.4928 | 7700 | 2.5616 | 0.0 |
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+ | 2.3632 | 0.4992 | 7800 | 2.5697 | 0.0 |
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+ | 2.3579 | 0.5056 | 7900 | 2.5803 | 0.0 |
132
+ | 2.3593 | 0.512 | 8000 | 2.6355 | 0.0 |
133
+ | 2.3604 | 0.5184 | 8100 | 2.5355 | 0.0 |
134
+ | 2.3594 | 0.5248 | 8200 | 2.5198 | 0.0 |
135
+ | 2.357 | 0.5312 | 8300 | 2.5762 | 0.0 |
136
+ | 2.3487 | 0.5376 | 8400 | 2.5462 | 0.0 |
137
+ | 2.3652 | 0.544 | 8500 | 2.5878 | 0.0 |
138
+ | 2.3549 | 0.5504 | 8600 | 2.5376 | 0.0 |
139
+ | 2.3516 | 0.5568 | 8700 | 2.5517 | 0.0 |
140
+ | 2.358 | 0.5632 | 8800 | 2.5280 | 0.0 |
141
+ | 2.3587 | 0.5696 | 8900 | 2.5489 | 0.0 |
142
+ | 2.3646 | 0.576 | 9000 | 2.6044 | 0.0 |
143
+ | 2.3549 | 0.5824 | 9100 | 2.5392 | 0.0 |
144
+ | 2.3579 | 0.5888 | 9200 | 2.6203 | 0.0 |
145
+ | 2.3654 | 0.5952 | 9300 | 2.5952 | 0.0 |
146
+ | 2.3657 | 0.6016 | 9400 | 2.5479 | 0.0 |
147
+ | 2.3571 | 0.608 | 9500 | 2.5350 | 0.0 |
148
+ | 2.3515 | 0.6144 | 9600 | 2.6317 | 0.0 |
149
+ | 2.3565 | 0.6208 | 9700 | 2.5772 | 0.0 |
150
+ | 2.3534 | 0.6272 | 9800 | 2.6011 | 0.0 |
151
+ | 2.3574 | 0.6336 | 9900 | 2.4998 | 0.0 |
152
+ | 2.3553 | 0.64 | 10000 | 2.5933 | 0.0 |
153
+ | 2.3443 | 0.6464 | 10100 | 2.5925 | 0.0 |
154
+ | 2.3581 | 0.6528 | 10200 | 2.6502 | 0.0 |
155
+ | 2.3488 | 0.6592 | 10300 | 2.6558 | 0.0 |
156
+ | 2.3659 | 0.6656 | 10400 | 2.6271 | 0.0 |
157
+ | 2.353 | 0.672 | 10500 | 2.5513 | 0.0 |
158
+ | 2.3497 | 0.6784 | 10600 | 2.6017 | 0.0 |
159
+ | 2.3573 | 0.6848 | 10700 | 2.5998 | 0.0 |
160
+ | 2.3642 | 0.6912 | 10800 | 2.5925 | 0.0 |
161
+ | 2.3522 | 0.6976 | 10900 | 2.4902 | 0.0 |
162
+ | 2.3543 | 0.704 | 11000 | 2.5761 | 0.0 |
163
+ | 2.3538 | 0.7104 | 11100 | 2.5737 | 0.0 |
164
+ | 2.3545 | 0.7168 | 11200 | 2.5827 | 0.0 |
165
+ | 2.3586 | 0.7232 | 11300 | 2.6190 | 0.0 |
166
+ | 2.3575 | 0.7296 | 11400 | 2.5708 | 0.0 |
167
+ | 2.3573 | 0.736 | 11500 | 2.5409 | 0.0 |
168
+ | 2.3575 | 0.7424 | 11600 | 2.5762 | 0.0 |
169
+ | 2.3576 | 0.7488 | 11700 | 2.6299 | 0.0 |
170
+ | 2.3487 | 0.7552 | 11800 | 2.5414 | 0.0 |
171
+ | 2.3623 | 0.7616 | 11900 | 2.5767 | 0.0 |
172
+ | 2.3599 | 0.768 | 12000 | 2.5446 | 0.0 |
173
+ | 2.3506 | 0.7744 | 12100 | 2.5832 | 0.0 |
174
+ | 2.3546 | 0.7808 | 12200 | 2.5563 | 0.0 |
175
+ | 2.3543 | 0.7872 | 12300 | 2.5601 | 0.0 |
176
+ | 2.3507 | 0.7936 | 12400 | 2.5719 | 0.0 |
177
+ | 2.3524 | 0.8 | 12500 | 2.5835 | 0.0 |
178
+ | 2.3447 | 0.8064 | 12600 | 2.5615 | 0.0 |
179
+ | 2.3573 | 0.8128 | 12700 | 2.6363 | 0.0 |
180
+ | 2.356 | 0.8192 | 12800 | 2.6349 | 0.0 |
181
+ | 2.3544 | 0.8256 | 12900 | 2.5914 | 0.0 |
182
+ | 2.3638 | 0.832 | 13000 | 2.5714 | 0.0 |
183
+ | 2.3591 | 0.8384 | 13100 | 2.6121 | 0.0 |
184
+ | 2.3565 | 0.8448 | 13200 | 2.5863 | 0.0 |
185
+ | 2.3481 | 0.8512 | 13300 | 2.6126 | 0.0 |
186
+ | 2.358 | 0.8576 | 13400 | 2.5951 | 0.0 |
187
+ | 2.3518 | 0.864 | 13500 | 2.6111 | 0.0 |
188
+ | 2.3445 | 0.8704 | 13600 | 2.6072 | 0.0 |
189
+ | 2.3466 | 0.8768 | 13700 | 2.6104 | 0.0 |
190
+ | 2.3613 | 0.8832 | 13800 | 2.5829 | 0.0 |
191
+ | 2.3506 | 0.8896 | 13900 | 2.6030 | 0.0 |
192
+ | 2.3478 | 0.896 | 14000 | 2.5717 | 0.0 |
193
+ | 2.3618 | 0.9024 | 14100 | 2.6115 | 0.0 |
194
+ | 2.3628 | 0.9088 | 14200 | 2.5984 | 0.0 |
195
+ | 2.3504 | 0.9152 | 14300 | 2.6091 | 0.0 |
196
+ | 2.3596 | 0.9216 | 14400 | 2.6084 | 0.0 |
197
+ | 2.3556 | 0.928 | 14500 | 2.5812 | 0.0 |
198
+ | 2.3624 | 0.9344 | 14600 | 2.6058 | 0.0 |
199
+ | 2.3564 | 0.9408 | 14700 | 2.5861 | 0.0 |
200
+ | 2.3649 | 0.9472 | 14800 | 2.5941 | 0.0 |
201
+ | 2.3522 | 0.9536 | 14900 | 2.5955 | 0.0 |
202
+ | 2.3436 | 0.96 | 15000 | 2.5882 | 0.0 |
203
+ | 2.3552 | 0.9664 | 15100 | 2.6067 | 0.0 |
204
+ | 2.3537 | 0.9728 | 15200 | 2.5985 | 0.0 |
205
+ | 2.36 | 0.9792 | 15300 | 2.5967 | 0.0 |
206
+ | 2.3605 | 0.9856 | 15400 | 2.5998 | 0.0 |
207
+ | 2.3544 | 0.992 | 15500 | 2.5996 | 0.0 |
208
+ | 2.3535 | 0.9984 | 15600 | 2.5994 | 0.0 |
209
 
210
 
211
  ### Framework versions
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