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refusals/bert-base-uncased-finetuned-refusal-classifier-2024-12-01-10-58-20

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  1. README.md +272 -15
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -19,10 +19,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7340
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- - F1: 0.9243
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- - Roc Auc: 0.9956
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- - Accuracy: 0.9246
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  ## Model description
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@@ -48,20 +48,277 @@ The following hyperparameters were used during training:
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 500
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- - num_epochs: 3
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- - label_smoothing_factor: 0.1
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54
  ### Training results
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56
- | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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- |:-------------:|:------:|:----:|:---------------:|:------:|:-------:|:--------:|
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- | No log | 0.3817 | 100 | 2.4345 | 0.1373 | 0.7411 | 0.1877 |
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- | No log | 0.7634 | 200 | 1.9614 | 0.5462 | 0.9299 | 0.5769 |
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- | No log | 1.1450 | 300 | 1.2999 | 0.7631 | 0.9739 | 0.77 |
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- | No log | 1.5267 | 400 | 0.9551 | 0.8506 | 0.9870 | 0.8515 |
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- | 1.716 | 1.9084 | 500 | 0.8384 | 0.8785 | 0.9923 | 0.8785 |
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- | 1.716 | 2.2901 | 600 | 0.7623 | 0.9156 | 0.9948 | 0.9162 |
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- | 1.716 | 2.6718 | 700 | 0.7340 | 0.9243 | 0.9956 | 0.9246 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
21
  It achieves the following results on the evaluation set:
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+ - Loss: 0.3051
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+ - F1: 0.9992
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+ - Roc Auc: 1.0
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+ - Accuracy: 0.9992
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27
  ## Model description
28
 
 
48
  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
49
  - lr_scheduler_type: linear
50
  - lr_scheduler_warmup_steps: 500
51
+ - num_epochs: 2
52
+ - label_smoothing_factor: 0.05
53
 
54
  ### Training results
55
 
56
+ | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
57
+ |:-------------:|:------:|:-----:|:---------------:|:------:|:-------:|:--------:|
58
+ | No log | 0.0076 | 100 | 2.4712 | 0.1582 | 0.7093 | 0.2062 |
59
+ | No log | 0.0151 | 200 | 2.0531 | 0.4984 | 0.9014 | 0.5231 |
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+ | No log | 0.0227 | 300 | 1.3834 | 0.6824 | 0.9524 | 0.6938 |
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+ | No log | 0.0302 | 400 | 1.0466 | 0.7584 | 0.9684 | 0.7623 |
62
+ | 1.7761 | 0.0378 | 500 | 0.8311 | 0.8162 | 0.9822 | 0.8177 |
63
+ | 1.7761 | 0.0454 | 600 | 0.7246 | 0.8474 | 0.9878 | 0.8469 |
64
+ | 1.7761 | 0.0529 | 700 | 0.6630 | 0.8680 | 0.9908 | 0.8677 |
65
+ | 1.7761 | 0.0605 | 800 | 0.6067 | 0.8865 | 0.9933 | 0.8862 |
66
+ | 1.7761 | 0.0681 | 900 | 0.5693 | 0.8948 | 0.9948 | 0.8946 |
67
+ | 0.6613 | 0.0756 | 1000 | 0.5578 | 0.8993 | 0.9957 | 0.8992 |
68
+ | 0.6613 | 0.0832 | 1100 | 0.5338 | 0.9103 | 0.9963 | 0.9108 |
69
+ | 0.6613 | 0.0907 | 1200 | 0.5117 | 0.9154 | 0.9971 | 0.9154 |
70
+ | 0.6613 | 0.0983 | 1300 | 0.5015 | 0.9253 | 0.9972 | 0.9254 |
71
+ | 0.6613 | 0.1059 | 1400 | 0.4856 | 0.9277 | 0.9977 | 0.9277 |
72
+ | 0.5142 | 0.1134 | 1500 | 0.4666 | 0.9448 | 0.9980 | 0.9446 |
73
+ | 0.5142 | 0.1210 | 1600 | 0.4659 | 0.9391 | 0.9981 | 0.9392 |
74
+ | 0.5142 | 0.1285 | 1700 | 0.4543 | 0.9399 | 0.9984 | 0.94 |
75
+ | 0.5142 | 0.1361 | 1800 | 0.4557 | 0.9392 | 0.9985 | 0.9392 |
76
+ | 0.5142 | 0.1437 | 1900 | 0.4472 | 0.9454 | 0.9985 | 0.9454 |
77
+ | 0.4593 | 0.1512 | 2000 | 0.4354 | 0.9523 | 0.9987 | 0.9523 |
78
+ | 0.4593 | 0.1588 | 2100 | 0.4317 | 0.9507 | 0.9989 | 0.9508 |
79
+ | 0.4593 | 0.1664 | 2200 | 0.4296 | 0.9479 | 0.9990 | 0.9477 |
80
+ | 0.4593 | 0.1739 | 2300 | 0.4335 | 0.9479 | 0.9989 | 0.9477 |
81
+ | 0.4593 | 0.1815 | 2400 | 0.4237 | 0.9525 | 0.9991 | 0.9523 |
82
+ | 0.4301 | 0.1890 | 2500 | 0.4158 | 0.9592 | 0.9991 | 0.9592 |
83
+ | 0.4301 | 0.1966 | 2600 | 0.4071 | 0.9537 | 0.9993 | 0.9538 |
84
+ | 0.4301 | 0.2042 | 2700 | 0.4111 | 0.9555 | 0.9993 | 0.9554 |
85
+ | 0.4301 | 0.2117 | 2800 | 0.3970 | 0.9623 | 0.9994 | 0.9623 |
86
+ | 0.4301 | 0.2193 | 2900 | 0.3992 | 0.9559 | 0.9994 | 0.9562 |
87
+ | 0.4091 | 0.2268 | 3000 | 0.3954 | 0.9631 | 0.9994 | 0.9631 |
88
+ | 0.4091 | 0.2344 | 3100 | 0.3868 | 0.9676 | 0.9996 | 0.9677 |
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+ | 0.4091 | 0.2420 | 3200 | 0.3947 | 0.9615 | 0.9995 | 0.9615 |
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+ | 0.4091 | 0.2495 | 3300 | 0.3935 | 0.9653 | 0.9994 | 0.9654 |
91
+ | 0.4091 | 0.2571 | 3400 | 0.3843 | 0.9661 | 0.9995 | 0.9662 |
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+ | 0.3959 | 0.2647 | 3500 | 0.3811 | 0.9653 | 0.9995 | 0.9654 |
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+ | 0.3959 | 0.2722 | 3600 | 0.3813 | 0.9654 | 0.9996 | 0.9654 |
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+ | 0.3959 | 0.2798 | 3700 | 0.3870 | 0.9646 | 0.9995 | 0.9646 |
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97
+ | 0.3846 | 0.3025 | 4000 | 0.3741 | 0.9677 | 0.9996 | 0.9677 |
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99
+ | 0.3846 | 0.3176 | 4200 | 0.3645 | 0.9769 | 0.9997 | 0.9769 |
100
+ | 0.3846 | 0.3251 | 4300 | 0.3651 | 0.9739 | 0.9997 | 0.9738 |
101
+ | 0.3846 | 0.3327 | 4400 | 0.3644 | 0.9761 | 0.9997 | 0.9762 |
102
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103
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106
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107
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108
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109
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114
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117
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119
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120
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123
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124
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126
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127
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128
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131
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132
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133
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134
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135
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136
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137
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138
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139
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140
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141
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142
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143
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144
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145
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146
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147
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148
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149
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150
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152
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153
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154
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155
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156
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157
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158
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159
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160
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161
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162
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163
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164
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165
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166
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167
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168
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169
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170
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171
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172
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173
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174
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175
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176
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177
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178
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179
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180
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181
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182
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183
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184
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185
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186
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187
+ | 0.3242 | 0.9830 | 13000 | 0.3091 | 0.9985 | 1.0000 | 0.9985 |
188
+ | 0.3242 | 0.9905 | 13100 | 0.3124 | 0.9969 | 1.0000 | 0.9969 |
189
+ | 0.3242 | 0.9981 | 13200 | 0.3148 | 0.9946 | 1.0000 | 0.9946 |
190
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191
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192
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193
+ | 0.3213 | 1.0284 | 13600 | 0.3145 | 0.9939 | 1.0000 | 0.9938 |
194
+ | 0.3213 | 1.0359 | 13700 | 0.3135 | 0.9946 | 1.0000 | 0.9946 |
195
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196
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197
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198
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199
+ | 0.32 | 1.0737 | 14200 | 0.3113 | 0.9977 | 1.0000 | 0.9977 |
200
+ | 0.32 | 1.0813 | 14300 | 0.3111 | 0.9969 | 1.0000 | 0.9969 |
201
+ | 0.32 | 1.0888 | 14400 | 0.3074 | 0.9985 | 1.0 | 0.9985 |
202
+ | 0.3189 | 1.0964 | 14500 | 0.3088 | 0.9969 | 1.0000 | 0.9969 |
203
+ | 0.3189 | 1.1040 | 14600 | 0.3087 | 0.9977 | 1.0 | 0.9977 |
204
+ | 0.3189 | 1.1115 | 14700 | 0.3110 | 0.9962 | 1.0000 | 0.9962 |
205
+ | 0.3189 | 1.1191 | 14800 | 0.3097 | 0.9961 | 1.0000 | 0.9962 |
206
+ | 0.3189 | 1.1267 | 14900 | 0.3086 | 0.9977 | 1.0 | 0.9977 |
207
+ | 0.3183 | 1.1342 | 15000 | 0.3087 | 0.9962 | 1.0000 | 0.9962 |
208
+ | 0.3183 | 1.1418 | 15100 | 0.3133 | 0.9946 | 1.0000 | 0.9946 |
209
+ | 0.3183 | 1.1493 | 15200 | 0.3098 | 0.9969 | 1.0 | 0.9969 |
210
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211
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212
+ | 0.3172 | 1.1720 | 15500 | 0.3143 | 0.9954 | 1.0000 | 0.9954 |
213
+ | 0.3172 | 1.1796 | 15600 | 0.3090 | 0.9969 | 1.0 | 0.9969 |
214
+ | 0.3172 | 1.1871 | 15700 | 0.3074 | 0.9977 | 1.0000 | 0.9977 |
215
+ | 0.3172 | 1.1947 | 15800 | 0.3116 | 0.9969 | 1.0000 | 0.9969 |
216
+ | 0.3172 | 1.2023 | 15900 | 0.3113 | 0.9969 | 1.0000 | 0.9969 |
217
+ | 0.3163 | 1.2098 | 16000 | 0.3101 | 0.9977 | 1.0 | 0.9977 |
218
+ | 0.3163 | 1.2174 | 16100 | 0.3081 | 0.9977 | 1.0000 | 0.9977 |
219
+ | 0.3163 | 1.2250 | 16200 | 0.3163 | 0.9938 | 0.9999 | 0.9938 |
220
+ | 0.3163 | 1.2325 | 16300 | 0.3141 | 0.9946 | 1.0000 | 0.9946 |
221
+ | 0.3163 | 1.2401 | 16400 | 0.3134 | 0.9946 | 1.0000 | 0.9946 |
222
+ | 0.3157 | 1.2476 | 16500 | 0.3131 | 0.9954 | 1.0000 | 0.9954 |
223
+ | 0.3157 | 1.2552 | 16600 | 0.3168 | 0.9946 | 1.0000 | 0.9946 |
224
+ | 0.3157 | 1.2628 | 16700 | 0.3112 | 0.9962 | 1.0000 | 0.9962 |
225
+ | 0.3157 | 1.2703 | 16800 | 0.3158 | 0.9962 | 1.0000 | 0.9962 |
226
+ | 0.3157 | 1.2779 | 16900 | 0.3118 | 0.9969 | 1.0000 | 0.9969 |
227
+ | 0.3156 | 1.2854 | 17000 | 0.3115 | 0.9969 | 1.0000 | 0.9969 |
228
+ | 0.3156 | 1.2930 | 17100 | 0.3091 | 0.9969 | 1.0000 | 0.9969 |
229
+ | 0.3156 | 1.3006 | 17200 | 0.3087 | 0.9969 | 1.0000 | 0.9969 |
230
+ | 0.3156 | 1.3081 | 17300 | 0.3087 | 0.9985 | 1.0000 | 0.9985 |
231
+ | 0.3156 | 1.3157 | 17400 | 0.3095 | 0.9969 | 1.0000 | 0.9969 |
232
+ | 0.315 | 1.3233 | 17500 | 0.3075 | 0.9985 | 1.0000 | 0.9985 |
233
+ | 0.315 | 1.3308 | 17600 | 0.3087 | 0.9969 | 1.0000 | 0.9969 |
234
+ | 0.315 | 1.3384 | 17700 | 0.3095 | 0.9985 | 1.0000 | 0.9985 |
235
+ | 0.315 | 1.3459 | 17800 | 0.3082 | 0.9977 | 1.0 | 0.9977 |
236
+ | 0.315 | 1.3535 | 17900 | 0.3074 | 0.9977 | 1.0 | 0.9977 |
237
+ | 0.3145 | 1.3611 | 18000 | 0.3086 | 0.9977 | 1.0000 | 0.9977 |
238
+ | 0.3145 | 1.3686 | 18100 | 0.3069 | 0.9969 | 1.0000 | 0.9969 |
239
+ | 0.3145 | 1.3762 | 18200 | 0.3092 | 0.9977 | 1.0000 | 0.9977 |
240
+ | 0.3145 | 1.3837 | 18300 | 0.3081 | 0.9969 | 1.0000 | 0.9969 |
241
+ | 0.3145 | 1.3913 | 18400 | 0.3129 | 0.9954 | 1.0000 | 0.9954 |
242
+ | 0.314 | 1.3989 | 18500 | 0.3086 | 0.9977 | 1.0 | 0.9977 |
243
+ | 0.314 | 1.4064 | 18600 | 0.3093 | 0.9962 | 1.0000 | 0.9962 |
244
+ | 0.314 | 1.4140 | 18700 | 0.3085 | 0.9969 | 1.0000 | 0.9969 |
245
+ | 0.314 | 1.4216 | 18800 | 0.3081 | 0.9977 | 1.0 | 0.9977 |
246
+ | 0.314 | 1.4291 | 18900 | 0.3100 | 0.9962 | 1.0 | 0.9962 |
247
+ | 0.3138 | 1.4367 | 19000 | 0.3067 | 0.9985 | 1.0 | 0.9985 |
248
+ | 0.3138 | 1.4442 | 19100 | 0.3080 | 0.9969 | 1.0 | 0.9969 |
249
+ | 0.3138 | 1.4518 | 19200 | 0.3080 | 0.9977 | 1.0000 | 0.9977 |
250
+ | 0.3138 | 1.4594 | 19300 | 0.3116 | 0.9954 | 1.0000 | 0.9954 |
251
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252
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253
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254
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255
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256
+ | 0.313 | 1.5047 | 19900 | 0.3081 | 0.9977 | 1.0000 | 0.9977 |
257
+ | 0.3131 | 1.5123 | 20000 | 0.3090 | 0.9961 | 1.0000 | 0.9962 |
258
+ | 0.3131 | 1.5198 | 20100 | 0.3071 | 0.9977 | 1.0000 | 0.9977 |
259
+ | 0.3131 | 1.5274 | 20200 | 0.3089 | 0.9969 | 1.0000 | 0.9969 |
260
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261
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262
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263
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264
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265
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266
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267
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268
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269
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270
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271
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272
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273
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274
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275
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276
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277
+ | 0.3118 | 1.6635 | 22000 | 0.3071 | 0.9977 | 1.0 | 0.9977 |
278
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279
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280
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281
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282
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283
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284
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285
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286
+ | 0.3113 | 1.7316 | 22900 | 0.3067 | 0.9977 | 1.0 | 0.9977 |
287
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288
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289
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290
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291
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292
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293
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294
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295
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296
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297
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298
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299
+ | 0.3105 | 1.8299 | 24200 | 0.3065 | 0.9992 | 1.0 | 0.9992 |
300
+ | 0.3105 | 1.8374 | 24300 | 0.3064 | 0.9977 | 1.0 | 0.9977 |
301
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302
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303
+ | 0.3106 | 1.8601 | 24600 | 0.3054 | 0.9992 | 1.0 | 0.9992 |
304
+ | 0.3106 | 1.8677 | 24700 | 0.3062 | 0.9985 | 1.0 | 0.9985 |
305
+ | 0.3106 | 1.8752 | 24800 | 0.3060 | 0.9992 | 1.0 | 0.9992 |
306
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307
+ | 0.3101 | 1.8904 | 25000 | 0.3058 | 0.9992 | 1.0 | 0.9992 |
308
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309
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310
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311
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312
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313
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314
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315
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316
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317
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318
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321
+ | 0.3098 | 1.9962 | 26400 | 0.3051 | 0.9992 | 1.0 | 0.9992 |
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323
 
324
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