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README.md CHANGED
@@ -19,7 +19,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) on the dbischof_premise_aea dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0136
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24
  ## Model description
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@@ -53,135 +53,1404 @@ The following hyperparameters were used during training:
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54
  | Training Loss | Epoch | Step | Validation Loss |
55
  |:-------------:|:------:|:----:|:---------------:|
56
- | 0.0896 | 0.0387 | 5 | 0.0767 |
57
- | 0.057 | 0.0774 | 10 | 0.0397 |
58
- | 0.0361 | 0.1162 | 15 | 0.0325 |
59
- | 0.0478 | 0.1549 | 20 | 0.0304 |
60
- | 0.0293 | 0.1936 | 25 | 0.0270 |
61
- | 0.0429 | 0.2323 | 30 | 0.0253 |
62
- | 0.0368 | 0.2711 | 35 | 0.0244 |
63
- | 0.0323 | 0.3098 | 40 | 0.0229 |
64
- | 0.0223 | 0.3485 | 45 | 0.0225 |
65
- | 0.0327 | 0.3872 | 50 | 0.0216 |
66
- | 0.0237 | 0.4259 | 55 | 0.0209 |
67
- | 0.0255 | 0.4647 | 60 | 0.0204 |
68
- | 0.0237 | 0.5034 | 65 | 0.0197 |
69
- | 0.0273 | 0.5421 | 70 | 0.0197 |
70
- | 0.0192 | 0.5808 | 75 | 0.0192 |
71
- | 0.0459 | 0.6196 | 80 | 0.0188 |
72
- | 0.0203 | 0.6583 | 85 | 0.0185 |
73
- | 0.032 | 0.6970 | 90 | 0.0183 |
74
- | 0.0145 | 0.7357 | 95 | 0.0184 |
75
- | 0.0299 | 0.7744 | 100 | 0.0181 |
76
- | 0.0186 | 0.8132 | 105 | 0.0183 |
77
- | 0.0255 | 0.8519 | 110 | 0.0178 |
78
- | 0.0199 | 0.8906 | 115 | 0.0177 |
79
- | 0.0216 | 0.9293 | 120 | 0.0173 |
80
- | 0.024 | 0.9681 | 125 | 0.0176 |
81
- | 0.0319 | 1.0068 | 130 | 0.0173 |
82
- | 0.0202 | 1.0455 | 135 | 0.0176 |
83
- | 0.0167 | 1.0842 | 140 | 0.0171 |
84
- | 0.0205 | 1.1229 | 145 | 0.0168 |
85
- | 0.0164 | 1.1617 | 150 | 0.0167 |
86
- | 0.0303 | 1.2004 | 155 | 0.0168 |
87
- | 0.0201 | 1.2391 | 160 | 0.0165 |
88
- | 0.0183 | 1.2778 | 165 | 0.0164 |
89
- | 0.0221 | 1.3166 | 170 | 0.0163 |
90
- | 0.0132 | 1.3553 | 175 | 0.0162 |
91
- | 0.0226 | 1.3940 | 180 | 0.0158 |
92
- | 0.0173 | 1.4327 | 185 | 0.0159 |
93
- | 0.0304 | 1.4714 | 190 | 0.0164 |
94
- | 0.0177 | 1.5102 | 195 | 0.0161 |
95
- | 0.0155 | 1.5489 | 200 | 0.0160 |
96
- | 0.0258 | 1.5876 | 205 | 0.0159 |
97
- | 0.0217 | 1.6263 | 210 | 0.0163 |
98
- | 0.0197 | 1.6651 | 215 | 0.0161 |
99
- | 0.0124 | 1.7038 | 220 | 0.0158 |
100
- | 0.0248 | 1.7425 | 225 | 0.0156 |
101
- | 0.017 | 1.7812 | 230 | 0.0159 |
102
- | 0.0248 | 1.8199 | 235 | 0.0158 |
103
- | 0.0189 | 1.8587 | 240 | 0.0155 |
104
- | 0.0185 | 1.8974 | 245 | 0.0151 |
105
- | 0.0154 | 1.9361 | 250 | 0.0151 |
106
- | 0.0223 | 1.9748 | 255 | 0.0152 |
107
- | 0.0161 | 2.0136 | 260 | 0.0152 |
108
- | 0.0139 | 2.0523 | 265 | 0.0154 |
109
- | 0.0173 | 2.0910 | 270 | 0.0153 |
110
- | 0.0237 | 2.1297 | 275 | 0.0152 |
111
- | 0.0167 | 2.1684 | 280 | 0.0151 |
112
- | 0.0086 | 2.2072 | 285 | 0.0149 |
113
- | 0.012 | 2.2459 | 290 | 0.0147 |
114
- | 0.015 | 2.2846 | 295 | 0.0149 |
115
- | 0.0165 | 2.3233 | 300 | 0.0151 |
116
- | 0.0183 | 2.3621 | 305 | 0.0150 |
117
- | 0.0233 | 2.4008 | 310 | 0.0151 |
118
- | 0.0163 | 2.4395 | 315 | 0.0149 |
119
- | 0.0121 | 2.4782 | 320 | 0.0147 |
120
- | 0.0213 | 2.5169 | 325 | 0.0145 |
121
- | 0.0253 | 2.5557 | 330 | 0.0145 |
122
- | 0.023 | 2.5944 | 335 | 0.0149 |
123
- | 0.014 | 2.6331 | 340 | 0.0144 |
124
- | 0.0156 | 2.6718 | 345 | 0.0145 |
125
- | 0.0164 | 2.7106 | 350 | 0.0143 |
126
- | 0.0262 | 2.7493 | 355 | 0.0140 |
127
- | 0.0134 | 2.7880 | 360 | 0.0142 |
128
- | 0.018 | 2.8267 | 365 | 0.0144 |
129
- | 0.0166 | 2.8654 | 370 | 0.0145 |
130
- | 0.0204 | 2.9042 | 375 | 0.0141 |
131
- | 0.0284 | 2.9429 | 380 | 0.0139 |
132
- | 0.021 | 2.9816 | 385 | 0.0139 |
133
- | 0.0125 | 3.0203 | 390 | 0.0145 |
134
- | 0.0157 | 3.0591 | 395 | 0.0145 |
135
- | 0.0136 | 3.0978 | 400 | 0.0142 |
136
- | 0.0087 | 3.1365 | 405 | 0.0141 |
137
- | 0.0217 | 3.1752 | 410 | 0.0139 |
138
- | 0.0125 | 3.2139 | 415 | 0.0136 |
139
- | 0.0115 | 3.2527 | 420 | 0.0138 |
140
- | 0.0128 | 3.2914 | 425 | 0.0139 |
141
- | 0.0278 | 3.3301 | 430 | 0.0138 |
142
- | 0.0197 | 3.3688 | 435 | 0.0136 |
143
- | 0.0095 | 3.4076 | 440 | 0.0133 |
144
- | 0.0075 | 3.4463 | 445 | 0.0133 |
145
- | 0.0112 | 3.4850 | 450 | 0.0136 |
146
- | 0.0129 | 3.5237 | 455 | 0.0137 |
147
- | 0.011 | 3.5624 | 460 | 0.0136 |
148
- | 0.0233 | 3.6012 | 465 | 0.0136 |
149
- | 0.0132 | 3.6399 | 470 | 0.0134 |
150
- | 0.0147 | 3.6786 | 475 | 0.0136 |
151
- | 0.0073 | 3.7173 | 480 | 0.0136 |
152
- | 0.0143 | 3.7561 | 485 | 0.0136 |
153
- | 0.0086 | 3.7948 | 490 | 0.0137 |
154
- | 0.0055 | 3.8335 | 495 | 0.0138 |
155
- | 0.0108 | 3.8722 | 500 | 0.0138 |
156
- | 0.0079 | 3.9109 | 505 | 0.0136 |
157
- | 0.0105 | 3.9497 | 510 | 0.0133 |
158
- | 0.0117 | 3.9884 | 515 | 0.0133 |
159
- | 0.008 | 4.0271 | 520 | 0.0135 |
160
- | 0.0147 | 4.0658 | 525 | 0.0137 |
161
- | 0.007 | 4.1045 | 530 | 0.0143 |
162
- | 0.0059 | 4.1433 | 535 | 0.0146 |
163
- | 0.015 | 4.1820 | 540 | 0.0144 |
164
- | 0.0121 | 4.2207 | 545 | 0.0142 |
165
- | 0.0113 | 4.2594 | 550 | 0.0140 |
166
- | 0.0068 | 4.2982 | 555 | 0.0140 |
167
- | 0.0095 | 4.3369 | 560 | 0.0140 |
168
- | 0.0149 | 4.3756 | 565 | 0.0141 |
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- | 0.0063 | 4.4143 | 570 | 0.0141 |
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- | 0.0073 | 4.4530 | 575 | 0.0141 |
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- | 0.0114 | 4.4918 | 580 | 0.0142 |
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- | 0.0064 | 4.5305 | 585 | 0.0142 |
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- | 0.011 | 4.5692 | 590 | 0.0142 |
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- | 0.0088 | 4.6079 | 595 | 0.0142 |
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- | 0.0049 | 4.6467 | 600 | 0.0142 |
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- | 0.0079 | 4.6854 | 605 | 0.0142 |
177
- | 0.0061 | 4.7241 | 610 | 0.0142 |
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- | 0.012 | 4.7628 | 615 | 0.0142 |
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- | 0.0107 | 4.8015 | 620 | 0.0142 |
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- | 0.0104 | 4.8403 | 625 | 0.0142 |
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- | 0.0117 | 4.8790 | 630 | 0.0142 |
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- | 0.013 | 4.9177 | 635 | 0.0142 |
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- | 0.0079 | 4.9564 | 640 | 0.0142 |
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- | 0.0082 | 4.9952 | 645 | 0.0142 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
19
 
20
  This model is a fine-tuned version of [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) on the dbischof_premise_aea dataset.
21
  It achieves the following results on the evaluation set:
22
+ - Loss: 0.0070
23
 
24
  ## Model description
25
 
 
53
 
54
  | Training Loss | Epoch | Step | Validation Loss |
55
  |:-------------:|:------:|:----:|:---------------:|
56
+ | 0.087 | 0.0036 | 5 | 0.0906 |
57
+ | 0.0863 | 0.0071 | 10 | 0.0881 |
58
+ | 0.0931 | 0.0107 | 15 | 0.0802 |
59
+ | 0.082 | 0.0143 | 20 | 0.0665 |
60
+ | 0.0534 | 0.0179 | 25 | 0.0510 |
61
+ | 0.041 | 0.0214 | 30 | 0.0401 |
62
+ | 0.045 | 0.0250 | 35 | 0.0360 |
63
+ | 0.0347 | 0.0286 | 40 | 0.0328 |
64
+ | 0.0377 | 0.0322 | 45 | 0.0309 |
65
+ | 0.0314 | 0.0357 | 50 | 0.0297 |
66
+ | 0.0287 | 0.0393 | 55 | 0.0281 |
67
+ | 0.0288 | 0.0429 | 60 | 0.0270 |
68
+ | 0.0341 | 0.0465 | 65 | 0.0261 |
69
+ | 0.0302 | 0.0500 | 70 | 0.0253 |
70
+ | 0.0328 | 0.0536 | 75 | 0.0244 |
71
+ | 0.0341 | 0.0572 | 80 | 0.0236 |
72
+ | 0.0322 | 0.0608 | 85 | 0.0229 |
73
+ | 0.0251 | 0.0643 | 90 | 0.0223 |
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+ | 0.0342 | 0.0679 | 95 | 0.0217 |
75
+ | 0.0234 | 0.0715 | 100 | 0.0212 |
76
+ | 0.0242 | 0.0751 | 105 | 0.0207 |
77
+ | 0.0195 | 0.0786 | 110 | 0.0204 |
78
+ | 0.0287 | 0.0822 | 115 | 0.0203 |
79
+ | 0.0259 | 0.0858 | 120 | 0.0199 |
80
+ | 0.0267 | 0.0894 | 125 | 0.0197 |
81
+ | 0.0286 | 0.0929 | 130 | 0.0194 |
82
+ | 0.0204 | 0.0965 | 135 | 0.0191 |
83
+ | 0.0242 | 0.1001 | 140 | 0.0190 |
84
+ | 0.0228 | 0.1037 | 145 | 0.0187 |
85
+ | 0.0248 | 0.1072 | 150 | 0.0185 |
86
+ | 0.0263 | 0.1108 | 155 | 0.0183 |
87
+ | 0.0222 | 0.1144 | 160 | 0.0184 |
88
+ | 0.0185 | 0.1180 | 165 | 0.0183 |
89
+ | 0.0197 | 0.1215 | 170 | 0.0182 |
90
+ | 0.0297 | 0.1251 | 175 | 0.0179 |
91
+ | 0.0164 | 0.1287 | 180 | 0.0178 |
92
+ | 0.0234 | 0.1323 | 185 | 0.0175 |
93
+ | 0.0298 | 0.1358 | 190 | 0.0174 |
94
+ | 0.0231 | 0.1394 | 195 | 0.0171 |
95
+ | 0.0179 | 0.1430 | 200 | 0.0172 |
96
+ | 0.0207 | 0.1466 | 205 | 0.0173 |
97
+ | 0.0263 | 0.1501 | 210 | 0.0172 |
98
+ | 0.0204 | 0.1537 | 215 | 0.0175 |
99
+ | 0.0222 | 0.1573 | 220 | 0.0172 |
100
+ | 0.024 | 0.1609 | 225 | 0.0173 |
101
+ | 0.0258 | 0.1644 | 230 | 0.0169 |
102
+ | 0.0171 | 0.1680 | 235 | 0.0168 |
103
+ | 0.0223 | 0.1716 | 240 | 0.0167 |
104
+ | 0.0291 | 0.1752 | 245 | 0.0168 |
105
+ | 0.0138 | 0.1787 | 250 | 0.0164 |
106
+ | 0.0251 | 0.1823 | 255 | 0.0162 |
107
+ | 0.0145 | 0.1859 | 260 | 0.0163 |
108
+ | 0.0232 | 0.1895 | 265 | 0.0165 |
109
+ | 0.0207 | 0.1930 | 270 | 0.0161 |
110
+ | 0.0227 | 0.1966 | 275 | 0.0162 |
111
+ | 0.0199 | 0.2002 | 280 | 0.0162 |
112
+ | 0.0216 | 0.2038 | 285 | 0.0158 |
113
+ | 0.0235 | 0.2073 | 290 | 0.0158 |
114
+ | 0.0178 | 0.2109 | 295 | 0.0160 |
115
+ | 0.0168 | 0.2145 | 300 | 0.0156 |
116
+ | 0.0235 | 0.2181 | 305 | 0.0159 |
117
+ | 0.0159 | 0.2216 | 310 | 0.0157 |
118
+ | 0.0193 | 0.2252 | 315 | 0.0156 |
119
+ | 0.0241 | 0.2288 | 320 | 0.0154 |
120
+ | 0.0204 | 0.2324 | 325 | 0.0155 |
121
+ | 0.0225 | 0.2359 | 330 | 0.0157 |
122
+ | 0.0176 | 0.2395 | 335 | 0.0156 |
123
+ | 0.0122 | 0.2431 | 340 | 0.0162 |
124
+ | 0.0238 | 0.2466 | 345 | 0.0158 |
125
+ | 0.021 | 0.2502 | 350 | 0.0157 |
126
+ | 0.0185 | 0.2538 | 355 | 0.0152 |
127
+ | 0.0278 | 0.2574 | 360 | 0.0152 |
128
+ | 0.0319 | 0.2609 | 365 | 0.0153 |
129
+ | 0.0224 | 0.2645 | 370 | 0.0151 |
130
+ | 0.0175 | 0.2681 | 375 | 0.0151 |
131
+ | 0.0212 | 0.2717 | 380 | 0.0152 |
132
+ | 0.0261 | 0.2752 | 385 | 0.0152 |
133
+ | 0.0278 | 0.2788 | 390 | 0.0151 |
134
+ | 0.0163 | 0.2824 | 395 | 0.0151 |
135
+ | 0.0154 | 0.2860 | 400 | 0.0149 |
136
+ | 0.0231 | 0.2895 | 405 | 0.0148 |
137
+ | 0.0211 | 0.2931 | 410 | 0.0150 |
138
+ | 0.0175 | 0.2967 | 415 | 0.0148 |
139
+ | 0.0253 | 0.3003 | 420 | 0.0147 |
140
+ | 0.0209 | 0.3038 | 425 | 0.0147 |
141
+ | 0.0182 | 0.3074 | 430 | 0.0146 |
142
+ | 0.0156 | 0.3110 | 435 | 0.0148 |
143
+ | 0.0181 | 0.3146 | 440 | 0.0151 |
144
+ | 0.0155 | 0.3181 | 445 | 0.0146 |
145
+ | 0.0285 | 0.3217 | 450 | 0.0145 |
146
+ | 0.0214 | 0.3253 | 455 | 0.0147 |
147
+ | 0.0198 | 0.3289 | 460 | 0.0148 |
148
+ | 0.0184 | 0.3324 | 465 | 0.0146 |
149
+ | 0.0245 | 0.3360 | 470 | 0.0147 |
150
+ | 0.0167 | 0.3396 | 475 | 0.0146 |
151
+ | 0.018 | 0.3432 | 480 | 0.0146 |
152
+ | 0.016 | 0.3467 | 485 | 0.0149 |
153
+ | 0.0281 | 0.3503 | 490 | 0.0148 |
154
+ | 0.0212 | 0.3539 | 495 | 0.0146 |
155
+ | 0.0178 | 0.3575 | 500 | 0.0148 |
156
+ | 0.0199 | 0.3610 | 505 | 0.0145 |
157
+ | 0.0141 | 0.3646 | 510 | 0.0143 |
158
+ | 0.021 | 0.3682 | 515 | 0.0142 |
159
+ | 0.0163 | 0.3718 | 520 | 0.0144 |
160
+ | 0.0281 | 0.3753 | 525 | 0.0145 |
161
+ | 0.017 | 0.3789 | 530 | 0.0141 |
162
+ | 0.0197 | 0.3825 | 535 | 0.0143 |
163
+ | 0.0181 | 0.3861 | 540 | 0.0147 |
164
+ | 0.0204 | 0.3896 | 545 | 0.0144 |
165
+ | 0.0119 | 0.3932 | 550 | 0.0141 |
166
+ | 0.0227 | 0.3968 | 555 | 0.0144 |
167
+ | 0.0212 | 0.4004 | 560 | 0.0145 |
168
+ | 0.0185 | 0.4039 | 565 | 0.0146 |
169
+ | 0.021 | 0.4075 | 570 | 0.0146 |
170
+ | 0.0151 | 0.4111 | 575 | 0.0145 |
171
+ | 0.021 | 0.4147 | 580 | 0.0144 |
172
+ | 0.0152 | 0.4182 | 585 | 0.0147 |
173
+ | 0.0277 | 0.4218 | 590 | 0.0142 |
174
+ | 0.0214 | 0.4254 | 595 | 0.0144 |
175
+ | 0.0157 | 0.4290 | 600 | 0.0143 |
176
+ | 0.0153 | 0.4325 | 605 | 0.0145 |
177
+ | 0.0235 | 0.4361 | 610 | 0.0142 |
178
+ | 0.0191 | 0.4397 | 615 | 0.0149 |
179
+ | 0.0201 | 0.4433 | 620 | 0.0149 |
180
+ | 0.0131 | 0.4468 | 625 | 0.0141 |
181
+ | 0.0224 | 0.4504 | 630 | 0.0149 |
182
+ | 0.0237 | 0.4540 | 635 | 0.0149 |
183
+ | 0.0158 | 0.4576 | 640 | 0.0149 |
184
+ | 0.0187 | 0.4611 | 645 | 0.0144 |
185
+ | 0.0245 | 0.4647 | 650 | 0.0139 |
186
+ | 0.0177 | 0.4683 | 655 | 0.0141 |
187
+ | 0.0153 | 0.4718 | 660 | 0.0140 |
188
+ | 0.0178 | 0.4754 | 665 | 0.0140 |
189
+ | 0.0213 | 0.4790 | 670 | 0.0141 |
190
+ | 0.0185 | 0.4826 | 675 | 0.0142 |
191
+ | 0.0215 | 0.4861 | 680 | 0.0142 |
192
+ | 0.0166 | 0.4897 | 685 | 0.0143 |
193
+ | 0.0147 | 0.4933 | 690 | 0.0143 |
194
+ | 0.0142 | 0.4969 | 695 | 0.0143 |
195
+ | 0.0158 | 0.5004 | 700 | 0.0141 |
196
+ | 0.0219 | 0.5040 | 705 | 0.0144 |
197
+ | 0.0191 | 0.5076 | 710 | 0.0143 |
198
+ | 0.0248 | 0.5112 | 715 | 0.0145 |
199
+ | 0.0174 | 0.5147 | 720 | 0.0142 |
200
+ | 0.0212 | 0.5183 | 725 | 0.0143 |
201
+ | 0.0237 | 0.5219 | 730 | 0.0139 |
202
+ | 0.0176 | 0.5255 | 735 | 0.0138 |
203
+ | 0.0222 | 0.5290 | 740 | 0.0140 |
204
+ | 0.0134 | 0.5326 | 745 | 0.0137 |
205
+ | 0.0126 | 0.5362 | 750 | 0.0139 |
206
+ | 0.0209 | 0.5398 | 755 | 0.0140 |
207
+ | 0.0204 | 0.5433 | 760 | 0.0138 |
208
+ | 0.0239 | 0.5469 | 765 | 0.0139 |
209
+ | 0.0203 | 0.5505 | 770 | 0.0138 |
210
+ | 0.0212 | 0.5541 | 775 | 0.0136 |
211
+ | 0.0145 | 0.5576 | 780 | 0.0136 |
212
+ | 0.0114 | 0.5612 | 785 | 0.0135 |
213
+ | 0.014 | 0.5648 | 790 | 0.0136 |
214
+ | 0.0179 | 0.5684 | 795 | 0.0134 |
215
+ | 0.0114 | 0.5719 | 800 | 0.0136 |
216
+ | 0.0219 | 0.5755 | 805 | 0.0136 |
217
+ | 0.015 | 0.5791 | 810 | 0.0137 |
218
+ | 0.0187 | 0.5827 | 815 | 0.0140 |
219
+ | 0.0137 | 0.5862 | 820 | 0.0138 |
220
+ | 0.0169 | 0.5898 | 825 | 0.0137 |
221
+ | 0.0226 | 0.5934 | 830 | 0.0137 |
222
+ | 0.0145 | 0.5970 | 835 | 0.0133 |
223
+ | 0.0146 | 0.6005 | 840 | 0.0133 |
224
+ | 0.0176 | 0.6041 | 845 | 0.0130 |
225
+ | 0.0134 | 0.6077 | 850 | 0.0139 |
226
+ | 0.0129 | 0.6113 | 855 | 0.0135 |
227
+ | 0.0157 | 0.6148 | 860 | 0.0136 |
228
+ | 0.0156 | 0.6184 | 865 | 0.0135 |
229
+ | 0.0197 | 0.6220 | 870 | 0.0134 |
230
+ | 0.0239 | 0.6256 | 875 | 0.0136 |
231
+ | 0.0245 | 0.6291 | 880 | 0.0136 |
232
+ | 0.0195 | 0.6327 | 885 | 0.0137 |
233
+ | 0.0194 | 0.6363 | 890 | 0.0138 |
234
+ | 0.0171 | 0.6399 | 895 | 0.0133 |
235
+ | 0.0227 | 0.6434 | 900 | 0.0131 |
236
+ | 0.0184 | 0.6470 | 905 | 0.0130 |
237
+ | 0.0147 | 0.6506 | 910 | 0.0132 |
238
+ | 0.0196 | 0.6542 | 915 | 0.0132 |
239
+ | 0.0144 | 0.6577 | 920 | 0.0132 |
240
+ | 0.0177 | 0.6613 | 925 | 0.0136 |
241
+ | 0.017 | 0.6649 | 930 | 0.0134 |
242
+ | 0.0179 | 0.6685 | 935 | 0.0134 |
243
+ | 0.0294 | 0.6720 | 940 | 0.0133 |
244
+ | 0.0219 | 0.6756 | 945 | 0.0132 |
245
+ | 0.0119 | 0.6792 | 950 | 0.0133 |
246
+ | 0.0234 | 0.6828 | 955 | 0.0131 |
247
+ | 0.0175 | 0.6863 | 960 | 0.0133 |
248
+ | 0.0181 | 0.6899 | 965 | 0.0132 |
249
+ | 0.0184 | 0.6935 | 970 | 0.0129 |
250
+ | 0.0112 | 0.6971 | 975 | 0.0130 |
251
+ | 0.0236 | 0.7006 | 980 | 0.0131 |
252
+ | 0.0162 | 0.7042 | 985 | 0.0133 |
253
+ | 0.0131 | 0.7078 | 990 | 0.0130 |
254
+ | 0.018 | 0.7113 | 995 | 0.0131 |
255
+ | 0.0133 | 0.7149 | 1000 | 0.0129 |
256
+ | 0.0185 | 0.7185 | 1005 | 0.0129 |
257
+ | 0.0171 | 0.7221 | 1010 | 0.0131 |
258
+ | 0.0188 | 0.7256 | 1015 | 0.0128 |
259
+ | 0.0254 | 0.7292 | 1020 | 0.0130 |
260
+ | 0.0163 | 0.7328 | 1025 | 0.0129 |
261
+ | 0.0175 | 0.7364 | 1030 | 0.0129 |
262
+ | 0.0174 | 0.7399 | 1035 | 0.0128 |
263
+ | 0.0124 | 0.7435 | 1040 | 0.0130 |
264
+ | 0.015 | 0.7471 | 1045 | 0.0131 |
265
+ | 0.0187 | 0.7507 | 1050 | 0.0132 |
266
+ | 0.0169 | 0.7542 | 1055 | 0.0132 |
267
+ | 0.0236 | 0.7578 | 1060 | 0.0132 |
268
+ | 0.0174 | 0.7614 | 1065 | 0.0132 |
269
+ | 0.0141 | 0.7650 | 1070 | 0.0131 |
270
+ | 0.0152 | 0.7685 | 1075 | 0.0132 |
271
+ | 0.0169 | 0.7721 | 1080 | 0.0133 |
272
+ | 0.0125 | 0.7757 | 1085 | 0.0132 |
273
+ | 0.0133 | 0.7793 | 1090 | 0.0129 |
274
+ | 0.0228 | 0.7828 | 1095 | 0.0128 |
275
+ | 0.0213 | 0.7864 | 1100 | 0.0129 |
276
+ | 0.0234 | 0.7900 | 1105 | 0.0131 |
277
+ | 0.0125 | 0.7936 | 1110 | 0.0131 |
278
+ | 0.0183 | 0.7971 | 1115 | 0.0133 |
279
+ | 0.0213 | 0.8007 | 1120 | 0.0132 |
280
+ | 0.0153 | 0.8043 | 1125 | 0.0132 |
281
+ | 0.0152 | 0.8079 | 1130 | 0.0134 |
282
+ | 0.0226 | 0.8114 | 1135 | 0.0131 |
283
+ | 0.0232 | 0.8150 | 1140 | 0.0129 |
284
+ | 0.0112 | 0.8186 | 1145 | 0.0128 |
285
+ | 0.0158 | 0.8222 | 1150 | 0.0129 |
286
+ | 0.0151 | 0.8257 | 1155 | 0.0132 |
287
+ | 0.0132 | 0.8293 | 1160 | 0.0134 |
288
+ | 0.0277 | 0.8329 | 1165 | 0.0131 |
289
+ | 0.0145 | 0.8365 | 1170 | 0.0131 |
290
+ | 0.0143 | 0.8400 | 1175 | 0.0129 |
291
+ | 0.0167 | 0.8436 | 1180 | 0.0133 |
292
+ | 0.0174 | 0.8472 | 1185 | 0.0135 |
293
+ | 0.0189 | 0.8508 | 1190 | 0.0134 |
294
+ | 0.0148 | 0.8543 | 1195 | 0.0133 |
295
+ | 0.0207 | 0.8579 | 1200 | 0.0132 |
296
+ | 0.0193 | 0.8615 | 1205 | 0.0134 |
297
+ | 0.0148 | 0.8651 | 1210 | 0.0134 |
298
+ | 0.0167 | 0.8686 | 1215 | 0.0134 |
299
+ | 0.0154 | 0.8722 | 1220 | 0.0134 |
300
+ | 0.0235 | 0.8758 | 1225 | 0.0133 |
301
+ | 0.0126 | 0.8794 | 1230 | 0.0130 |
302
+ | 0.0097 | 0.8829 | 1235 | 0.0130 |
303
+ | 0.0212 | 0.8865 | 1240 | 0.0124 |
304
+ | 0.0212 | 0.8901 | 1245 | 0.0129 |
305
+ | 0.0118 | 0.8937 | 1250 | 0.0132 |
306
+ | 0.0168 | 0.8972 | 1255 | 0.0130 |
307
+ | 0.016 | 0.9008 | 1260 | 0.0129 |
308
+ | 0.0179 | 0.9044 | 1265 | 0.0129 |
309
+ | 0.0181 | 0.9080 | 1270 | 0.0133 |
310
+ | 0.0182 | 0.9115 | 1275 | 0.0128 |
311
+ | 0.0104 | 0.9151 | 1280 | 0.0131 |
312
+ | 0.0165 | 0.9187 | 1285 | 0.0129 |
313
+ | 0.0175 | 0.9223 | 1290 | 0.0131 |
314
+ | 0.0184 | 0.9258 | 1295 | 0.0129 |
315
+ | 0.0261 | 0.9294 | 1300 | 0.0128 |
316
+ | 0.0198 | 0.9330 | 1305 | 0.0123 |
317
+ | 0.0186 | 0.9366 | 1310 | 0.0124 |
318
+ | 0.0173 | 0.9401 | 1315 | 0.0127 |
319
+ | 0.0248 | 0.9437 | 1320 | 0.0124 |
320
+ | 0.0197 | 0.9473 | 1325 | 0.0126 |
321
+ | 0.0161 | 0.9508 | 1330 | 0.0126 |
322
+ | 0.0144 | 0.9544 | 1335 | 0.0127 |
323
+ | 0.0189 | 0.9580 | 1340 | 0.0126 |
324
+ | 0.0206 | 0.9616 | 1345 | 0.0125 |
325
+ | 0.0174 | 0.9651 | 1350 | 0.0128 |
326
+ | 0.0163 | 0.9687 | 1355 | 0.0127 |
327
+ | 0.0174 | 0.9723 | 1360 | 0.0126 |
328
+ | 0.0151 | 0.9759 | 1365 | 0.0124 |
329
+ | 0.0128 | 0.9794 | 1370 | 0.0124 |
330
+ | 0.017 | 0.9830 | 1375 | 0.0121 |
331
+ | 0.0172 | 0.9866 | 1380 | 0.0120 |
332
+ | 0.0182 | 0.9902 | 1385 | 0.0120 |
333
+ | 0.0231 | 0.9937 | 1390 | 0.0119 |
334
+ | 0.0167 | 0.9973 | 1395 | 0.0121 |
335
+ | 0.0216 | 1.0009 | 1400 | 0.0121 |
336
+ | 0.0226 | 1.0045 | 1405 | 0.0120 |
337
+ | 0.012 | 1.0080 | 1410 | 0.0120 |
338
+ | 0.0148 | 1.0116 | 1415 | 0.0121 |
339
+ | 0.0139 | 1.0152 | 1420 | 0.0120 |
340
+ | 0.0174 | 1.0188 | 1425 | 0.0122 |
341
+ | 0.0159 | 1.0223 | 1430 | 0.0124 |
342
+ | 0.0209 | 1.0259 | 1435 | 0.0122 |
343
+ | 0.0126 | 1.0295 | 1440 | 0.0121 |
344
+ | 0.0225 | 1.0331 | 1445 | 0.0121 |
345
+ | 0.0161 | 1.0366 | 1450 | 0.0122 |
346
+ | 0.0207 | 1.0402 | 1455 | 0.0122 |
347
+ | 0.0276 | 1.0438 | 1460 | 0.0124 |
348
+ | 0.0126 | 1.0474 | 1465 | 0.0122 |
349
+ | 0.0168 | 1.0509 | 1470 | 0.0122 |
350
+ | 0.0163 | 1.0545 | 1475 | 0.0122 |
351
+ | 0.0231 | 1.0581 | 1480 | 0.0122 |
352
+ | 0.0205 | 1.0617 | 1485 | 0.0121 |
353
+ | 0.0174 | 1.0652 | 1490 | 0.0122 |
354
+ | 0.0186 | 1.0688 | 1495 | 0.0123 |
355
+ | 0.0161 | 1.0724 | 1500 | 0.0121 |
356
+ | 0.0201 | 1.0760 | 1505 | 0.0121 |
357
+ | 0.0259 | 1.0795 | 1510 | 0.0123 |
358
+ | 0.0191 | 1.0831 | 1515 | 0.0125 |
359
+ | 0.0182 | 1.0867 | 1520 | 0.0125 |
360
+ | 0.0202 | 1.0903 | 1525 | 0.0123 |
361
+ | 0.0174 | 1.0938 | 1530 | 0.0123 |
362
+ | 0.0109 | 1.0974 | 1535 | 0.0125 |
363
+ | 0.0171 | 1.1010 | 1540 | 0.0124 |
364
+ | 0.0165 | 1.1046 | 1545 | 0.0120 |
365
+ | 0.023 | 1.1081 | 1550 | 0.0120 |
366
+ | 0.0131 | 1.1117 | 1555 | 0.0120 |
367
+ | 0.0118 | 1.1153 | 1560 | 0.0117 |
368
+ | 0.0212 | 1.1189 | 1565 | 0.0120 |
369
+ | 0.014 | 1.1224 | 1570 | 0.0122 |
370
+ | 0.017 | 1.1260 | 1575 | 0.0123 |
371
+ | 0.0157 | 1.1296 | 1580 | 0.0122 |
372
+ | 0.0136 | 1.1332 | 1585 | 0.0120 |
373
+ | 0.0158 | 1.1367 | 1590 | 0.0120 |
374
+ | 0.0127 | 1.1403 | 1595 | 0.0120 |
375
+ | 0.0169 | 1.1439 | 1600 | 0.0123 |
376
+ | 0.0117 | 1.1475 | 1605 | 0.0122 |
377
+ | 0.0162 | 1.1510 | 1610 | 0.0121 |
378
+ | 0.0161 | 1.1546 | 1615 | 0.0122 |
379
+ | 0.0162 | 1.1582 | 1620 | 0.0123 |
380
+ | 0.0144 | 1.1618 | 1625 | 0.0123 |
381
+ | 0.0211 | 1.1653 | 1630 | 0.0120 |
382
+ | 0.0148 | 1.1689 | 1635 | 0.0123 |
383
+ | 0.0118 | 1.1725 | 1640 | 0.0123 |
384
+ | 0.0126 | 1.1761 | 1645 | 0.0124 |
385
+ | 0.0089 | 1.1796 | 1650 | 0.0125 |
386
+ | 0.0161 | 1.1832 | 1655 | 0.0122 |
387
+ | 0.0254 | 1.1868 | 1660 | 0.0124 |
388
+ | 0.0116 | 1.1903 | 1665 | 0.0124 |
389
+ | 0.0254 | 1.1939 | 1670 | 0.0125 |
390
+ | 0.0197 | 1.1975 | 1675 | 0.0127 |
391
+ | 0.0174 | 1.2011 | 1680 | 0.0122 |
392
+ | 0.0089 | 1.2046 | 1685 | 0.0120 |
393
+ | 0.0156 | 1.2082 | 1690 | 0.0119 |
394
+ | 0.0221 | 1.2118 | 1695 | 0.0117 |
395
+ | 0.0185 | 1.2154 | 1700 | 0.0118 |
396
+ | 0.0159 | 1.2189 | 1705 | 0.0115 |
397
+ | 0.0169 | 1.2225 | 1710 | 0.0117 |
398
+ | 0.0169 | 1.2261 | 1715 | 0.0115 |
399
+ | 0.0142 | 1.2297 | 1720 | 0.0116 |
400
+ | 0.0129 | 1.2332 | 1725 | 0.0117 |
401
+ | 0.0128 | 1.2368 | 1730 | 0.0117 |
402
+ | 0.0141 | 1.2404 | 1735 | 0.0117 |
403
+ | 0.0155 | 1.2440 | 1740 | 0.0120 |
404
+ | 0.0227 | 1.2475 | 1745 | 0.0119 |
405
+ | 0.0293 | 1.2511 | 1750 | 0.0119 |
406
+ | 0.0229 | 1.2547 | 1755 | 0.0121 |
407
+ | 0.0141 | 1.2583 | 1760 | 0.0119 |
408
+ | 0.0106 | 1.2618 | 1765 | 0.0120 |
409
+ | 0.0174 | 1.2654 | 1770 | 0.0121 |
410
+ | 0.0179 | 1.2690 | 1775 | 0.0120 |
411
+ | 0.0113 | 1.2726 | 1780 | 0.0117 |
412
+ | 0.0126 | 1.2761 | 1785 | 0.0118 |
413
+ | 0.0152 | 1.2797 | 1790 | 0.0118 |
414
+ | 0.0104 | 1.2833 | 1795 | 0.0118 |
415
+ | 0.0132 | 1.2869 | 1800 | 0.0116 |
416
+ | 0.0181 | 1.2904 | 1805 | 0.0119 |
417
+ | 0.0184 | 1.2940 | 1810 | 0.0119 |
418
+ | 0.01 | 1.2976 | 1815 | 0.0117 |
419
+ | 0.0133 | 1.3012 | 1820 | 0.0116 |
420
+ | 0.0127 | 1.3047 | 1825 | 0.0115 |
421
+ | 0.0199 | 1.3083 | 1830 | 0.0114 |
422
+ | 0.0143 | 1.3119 | 1835 | 0.0115 |
423
+ | 0.0179 | 1.3155 | 1840 | 0.0118 |
424
+ | 0.0199 | 1.3190 | 1845 | 0.0117 |
425
+ | 0.0157 | 1.3226 | 1850 | 0.0115 |
426
+ | 0.0187 | 1.3262 | 1855 | 0.0118 |
427
+ | 0.0137 | 1.3298 | 1860 | 0.0117 |
428
+ | 0.0121 | 1.3333 | 1865 | 0.0116 |
429
+ | 0.022 | 1.3369 | 1870 | 0.0116 |
430
+ | 0.0115 | 1.3405 | 1875 | 0.0115 |
431
+ | 0.0169 | 1.3441 | 1880 | 0.0112 |
432
+ | 0.0148 | 1.3476 | 1885 | 0.0115 |
433
+ | 0.0186 | 1.3512 | 1890 | 0.0113 |
434
+ | 0.0146 | 1.3548 | 1895 | 0.0112 |
435
+ | 0.0137 | 1.3584 | 1900 | 0.0113 |
436
+ | 0.0155 | 1.3619 | 1905 | 0.0113 |
437
+ | 0.0167 | 1.3655 | 1910 | 0.0114 |
438
+ | 0.0172 | 1.3691 | 1915 | 0.0112 |
439
+ | 0.0192 | 1.3727 | 1920 | 0.0111 |
440
+ | 0.021 | 1.3762 | 1925 | 0.0110 |
441
+ | 0.0112 | 1.3798 | 1930 | 0.0111 |
442
+ | 0.0095 | 1.3834 | 1935 | 0.0110 |
443
+ | 0.0132 | 1.3870 | 1940 | 0.0111 |
444
+ | 0.0124 | 1.3905 | 1945 | 0.0110 |
445
+ | 0.0131 | 1.3941 | 1950 | 0.0112 |
446
+ | 0.0154 | 1.3977 | 1955 | 0.0112 |
447
+ | 0.0104 | 1.4013 | 1960 | 0.0111 |
448
+ | 0.012 | 1.4048 | 1965 | 0.0111 |
449
+ | 0.0159 | 1.4084 | 1970 | 0.0112 |
450
+ | 0.0205 | 1.4120 | 1975 | 0.0114 |
451
+ | 0.0111 | 1.4155 | 1980 | 0.0117 |
452
+ | 0.0147 | 1.4191 | 1985 | 0.0116 |
453
+ | 0.011 | 1.4227 | 1990 | 0.0118 |
454
+ | 0.0217 | 1.4263 | 1995 | 0.0118 |
455
+ | 0.0241 | 1.4298 | 2000 | 0.0114 |
456
+ | 0.011 | 1.4334 | 2005 | 0.0113 |
457
+ | 0.0157 | 1.4370 | 2010 | 0.0112 |
458
+ | 0.0077 | 1.4406 | 2015 | 0.0114 |
459
+ | 0.0132 | 1.4441 | 2020 | 0.0112 |
460
+ | 0.0133 | 1.4477 | 2025 | 0.0112 |
461
+ | 0.0166 | 1.4513 | 2030 | 0.0113 |
462
+ | 0.0242 | 1.4549 | 2035 | 0.0111 |
463
+ | 0.0256 | 1.4584 | 2040 | 0.0114 |
464
+ | 0.0168 | 1.4620 | 2045 | 0.0112 |
465
+ | 0.0187 | 1.4656 | 2050 | 0.0111 |
466
+ | 0.0143 | 1.4692 | 2055 | 0.0112 |
467
+ | 0.0129 | 1.4727 | 2060 | 0.0111 |
468
+ | 0.0153 | 1.4763 | 2065 | 0.0110 |
469
+ | 0.0265 | 1.4799 | 2070 | 0.0111 |
470
+ | 0.0128 | 1.4835 | 2075 | 0.0112 |
471
+ | 0.0137 | 1.4870 | 2080 | 0.0114 |
472
+ | 0.0108 | 1.4906 | 2085 | 0.0113 |
473
+ | 0.0161 | 1.4942 | 2090 | 0.0114 |
474
+ | 0.0208 | 1.4978 | 2095 | 0.0113 |
475
+ | 0.0171 | 1.5013 | 2100 | 0.0113 |
476
+ | 0.0138 | 1.5049 | 2105 | 0.0113 |
477
+ | 0.0137 | 1.5085 | 2110 | 0.0111 |
478
+ | 0.0109 | 1.5121 | 2115 | 0.0111 |
479
+ | 0.0154 | 1.5156 | 2120 | 0.0109 |
480
+ | 0.0181 | 1.5192 | 2125 | 0.0111 |
481
+ | 0.0158 | 1.5228 | 2130 | 0.0110 |
482
+ | 0.0108 | 1.5264 | 2135 | 0.0113 |
483
+ | 0.0181 | 1.5299 | 2140 | 0.0111 |
484
+ | 0.0163 | 1.5335 | 2145 | 0.0112 |
485
+ | 0.0302 | 1.5371 | 2150 | 0.0110 |
486
+ | 0.0153 | 1.5407 | 2155 | 0.0110 |
487
+ | 0.0199 | 1.5442 | 2160 | 0.0111 |
488
+ | 0.0219 | 1.5478 | 2165 | 0.0112 |
489
+ | 0.0134 | 1.5514 | 2170 | 0.0113 |
490
+ | 0.0179 | 1.5550 | 2175 | 0.0112 |
491
+ | 0.0164 | 1.5585 | 2180 | 0.0109 |
492
+ | 0.0091 | 1.5621 | 2185 | 0.0108 |
493
+ | 0.0129 | 1.5657 | 2190 | 0.0109 |
494
+ | 0.0149 | 1.5693 | 2195 | 0.0111 |
495
+ | 0.0144 | 1.5728 | 2200 | 0.0114 |
496
+ | 0.0158 | 1.5764 | 2205 | 0.0113 |
497
+ | 0.0161 | 1.5800 | 2210 | 0.0111 |
498
+ | 0.0126 | 1.5836 | 2215 | 0.0111 |
499
+ | 0.0086 | 1.5871 | 2220 | 0.0110 |
500
+ | 0.0157 | 1.5907 | 2225 | 0.0112 |
501
+ | 0.0165 | 1.5943 | 2230 | 0.0114 |
502
+ | 0.0146 | 1.5979 | 2235 | 0.0115 |
503
+ | 0.0152 | 1.6014 | 2240 | 0.0113 |
504
+ | 0.0117 | 1.6050 | 2245 | 0.0113 |
505
+ | 0.0177 | 1.6086 | 2250 | 0.0112 |
506
+ | 0.0135 | 1.6122 | 2255 | 0.0113 |
507
+ | 0.0148 | 1.6157 | 2260 | 0.0113 |
508
+ | 0.0152 | 1.6193 | 2265 | 0.0114 |
509
+ | 0.0152 | 1.6229 | 2270 | 0.0113 |
510
+ | 0.0239 | 1.6265 | 2275 | 0.0112 |
511
+ | 0.0124 | 1.6300 | 2280 | 0.0111 |
512
+ | 0.0156 | 1.6336 | 2285 | 0.0109 |
513
+ | 0.0161 | 1.6372 | 2290 | 0.0108 |
514
+ | 0.0143 | 1.6408 | 2295 | 0.0109 |
515
+ | 0.0113 | 1.6443 | 2300 | 0.0108 |
516
+ | 0.0176 | 1.6479 | 2305 | 0.0109 |
517
+ | 0.0142 | 1.6515 | 2310 | 0.0110 |
518
+ | 0.0158 | 1.6550 | 2315 | 0.0110 |
519
+ | 0.0163 | 1.6586 | 2320 | 0.0107 |
520
+ | 0.0127 | 1.6622 | 2325 | 0.0106 |
521
+ | 0.0175 | 1.6658 | 2330 | 0.0108 |
522
+ | 0.0334 | 1.6693 | 2335 | 0.0106 |
523
+ | 0.0134 | 1.6729 | 2340 | 0.0106 |
524
+ | 0.0245 | 1.6765 | 2345 | 0.0106 |
525
+ | 0.0168 | 1.6801 | 2350 | 0.0106 |
526
+ | 0.0106 | 1.6836 | 2355 | 0.0105 |
527
+ | 0.0092 | 1.6872 | 2360 | 0.0107 |
528
+ | 0.0219 | 1.6908 | 2365 | 0.0107 |
529
+ | 0.0175 | 1.6944 | 2370 | 0.0105 |
530
+ | 0.0114 | 1.6979 | 2375 | 0.0107 |
531
+ | 0.0124 | 1.7015 | 2380 | 0.0106 |
532
+ | 0.0188 | 1.7051 | 2385 | 0.0106 |
533
+ | 0.0165 | 1.7087 | 2390 | 0.0106 |
534
+ | 0.0298 | 1.7122 | 2395 | 0.0105 |
535
+ | 0.0123 | 1.7158 | 2400 | 0.0105 |
536
+ | 0.0293 | 1.7194 | 2405 | 0.0107 |
537
+ | 0.0121 | 1.7230 | 2410 | 0.0107 |
538
+ | 0.0134 | 1.7265 | 2415 | 0.0106 |
539
+ | 0.0103 | 1.7301 | 2420 | 0.0105 |
540
+ | 0.0132 | 1.7337 | 2425 | 0.0106 |
541
+ | 0.0133 | 1.7373 | 2430 | 0.0105 |
542
+ | 0.0166 | 1.7408 | 2435 | 0.0107 |
543
+ | 0.0178 | 1.7444 | 2440 | 0.0108 |
544
+ | 0.0127 | 1.7480 | 2445 | 0.0107 |
545
+ | 0.0197 | 1.7516 | 2450 | 0.0105 |
546
+ | 0.0145 | 1.7551 | 2455 | 0.0108 |
547
+ | 0.0135 | 1.7587 | 2460 | 0.0106 |
548
+ | 0.0169 | 1.7623 | 2465 | 0.0105 |
549
+ | 0.0127 | 1.7659 | 2470 | 0.0104 |
550
+ | 0.0176 | 1.7694 | 2475 | 0.0106 |
551
+ | 0.0143 | 1.7730 | 2480 | 0.0108 |
552
+ | 0.0106 | 1.7766 | 2485 | 0.0107 |
553
+ | 0.0131 | 1.7802 | 2490 | 0.0105 |
554
+ | 0.0226 | 1.7837 | 2495 | 0.0104 |
555
+ | 0.0115 | 1.7873 | 2500 | 0.0105 |
556
+ | 0.009 | 1.7909 | 2505 | 0.0101 |
557
+ | 0.018 | 1.7945 | 2510 | 0.0102 |
558
+ | 0.0198 | 1.7980 | 2515 | 0.0103 |
559
+ | 0.0149 | 1.8016 | 2520 | 0.0102 |
560
+ | 0.0182 | 1.8052 | 2525 | 0.0104 |
561
+ | 0.0118 | 1.8088 | 2530 | 0.0103 |
562
+ | 0.0161 | 1.8123 | 2535 | 0.0104 |
563
+ | 0.0116 | 1.8159 | 2540 | 0.0105 |
564
+ | 0.0126 | 1.8195 | 2545 | 0.0104 |
565
+ | 0.0099 | 1.8231 | 2550 | 0.0106 |
566
+ | 0.0158 | 1.8266 | 2555 | 0.0106 |
567
+ | 0.0137 | 1.8302 | 2560 | 0.0107 |
568
+ | 0.0098 | 1.8338 | 2565 | 0.0107 |
569
+ | 0.0137 | 1.8374 | 2570 | 0.0106 |
570
+ | 0.0126 | 1.8409 | 2575 | 0.0107 |
571
+ | 0.0132 | 1.8445 | 2580 | 0.0106 |
572
+ | 0.0107 | 1.8481 | 2585 | 0.0106 |
573
+ | 0.0111 | 1.8517 | 2590 | 0.0108 |
574
+ | 0.0186 | 1.8552 | 2595 | 0.0109 |
575
+ | 0.0143 | 1.8588 | 2600 | 0.0109 |
576
+ | 0.0139 | 1.8624 | 2605 | 0.0109 |
577
+ | 0.0157 | 1.8660 | 2610 | 0.0106 |
578
+ | 0.0187 | 1.8695 | 2615 | 0.0105 |
579
+ | 0.0127 | 1.8731 | 2620 | 0.0106 |
580
+ | 0.0158 | 1.8767 | 2625 | 0.0105 |
581
+ | 0.0203 | 1.8803 | 2630 | 0.0105 |
582
+ | 0.0167 | 1.8838 | 2635 | 0.0105 |
583
+ | 0.0098 | 1.8874 | 2640 | 0.0105 |
584
+ | 0.0118 | 1.8910 | 2645 | 0.0104 |
585
+ | 0.0133 | 1.8945 | 2650 | 0.0104 |
586
+ | 0.019 | 1.8981 | 2655 | 0.0104 |
587
+ | 0.0202 | 1.9017 | 2660 | 0.0104 |
588
+ | 0.0143 | 1.9053 | 2665 | 0.0105 |
589
+ | 0.0138 | 1.9088 | 2670 | 0.0106 |
590
+ | 0.0184 | 1.9124 | 2675 | 0.0107 |
591
+ | 0.0134 | 1.9160 | 2680 | 0.0105 |
592
+ | 0.0123 | 1.9196 | 2685 | 0.0104 |
593
+ | 0.0106 | 1.9231 | 2690 | 0.0105 |
594
+ | 0.018 | 1.9267 | 2695 | 0.0105 |
595
+ | 0.01 | 1.9303 | 2700 | 0.0105 |
596
+ | 0.0154 | 1.9339 | 2705 | 0.0105 |
597
+ | 0.0157 | 1.9374 | 2710 | 0.0104 |
598
+ | 0.0156 | 1.9410 | 2715 | 0.0101 |
599
+ | 0.0102 | 1.9446 | 2720 | 0.0100 |
600
+ | 0.0127 | 1.9482 | 2725 | 0.0101 |
601
+ | 0.0132 | 1.9517 | 2730 | 0.0100 |
602
+ | 0.0208 | 1.9553 | 2735 | 0.0102 |
603
+ | 0.0168 | 1.9589 | 2740 | 0.0104 |
604
+ | 0.0164 | 1.9625 | 2745 | 0.0102 |
605
+ | 0.0148 | 1.9660 | 2750 | 0.0103 |
606
+ | 0.0141 | 1.9696 | 2755 | 0.0102 |
607
+ | 0.02 | 1.9732 | 2760 | 0.0104 |
608
+ | 0.013 | 1.9768 | 2765 | 0.0105 |
609
+ | 0.015 | 1.9803 | 2770 | 0.0104 |
610
+ | 0.0089 | 1.9839 | 2775 | 0.0103 |
611
+ | 0.0118 | 1.9875 | 2780 | 0.0102 |
612
+ | 0.0083 | 1.9911 | 2785 | 0.0101 |
613
+ | 0.0117 | 1.9946 | 2790 | 0.0102 |
614
+ | 0.0106 | 1.9982 | 2795 | 0.0104 |
615
+ | 0.0121 | 2.0018 | 2800 | 0.0103 |
616
+ | 0.0119 | 2.0054 | 2805 | 0.0106 |
617
+ | 0.0153 | 2.0089 | 2810 | 0.0106 |
618
+ | 0.0076 | 2.0125 | 2815 | 0.0105 |
619
+ | 0.0144 | 2.0161 | 2820 | 0.0103 |
620
+ | 0.0122 | 2.0197 | 2825 | 0.0104 |
621
+ | 0.0105 | 2.0232 | 2830 | 0.0101 |
622
+ | 0.0131 | 2.0268 | 2835 | 0.0102 |
623
+ | 0.0145 | 2.0304 | 2840 | 0.0102 |
624
+ | 0.0136 | 2.0340 | 2845 | 0.0103 |
625
+ | 0.01 | 2.0375 | 2850 | 0.0104 |
626
+ | 0.0083 | 2.0411 | 2855 | 0.0104 |
627
+ | 0.0112 | 2.0447 | 2860 | 0.0105 |
628
+ | 0.0146 | 2.0483 | 2865 | 0.0106 |
629
+ | 0.0165 | 2.0518 | 2870 | 0.0108 |
630
+ | 0.0175 | 2.0554 | 2875 | 0.0109 |
631
+ | 0.0198 | 2.0590 | 2880 | 0.0108 |
632
+ | 0.0126 | 2.0626 | 2885 | 0.0108 |
633
+ | 0.0133 | 2.0661 | 2890 | 0.0103 |
634
+ | 0.0128 | 2.0697 | 2895 | 0.0103 |
635
+ | 0.008 | 2.0733 | 2900 | 0.0104 |
636
+ | 0.0106 | 2.0769 | 2905 | 0.0103 |
637
+ | 0.0141 | 2.0804 | 2910 | 0.0104 |
638
+ | 0.0115 | 2.0840 | 2915 | 0.0104 |
639
+ | 0.0198 | 2.0876 | 2920 | 0.0104 |
640
+ | 0.015 | 2.0912 | 2925 | 0.0106 |
641
+ | 0.0134 | 2.0947 | 2930 | 0.0106 |
642
+ | 0.012 | 2.0983 | 2935 | 0.0104 |
643
+ | 0.0171 | 2.1019 | 2940 | 0.0103 |
644
+ | 0.0128 | 2.1055 | 2945 | 0.0103 |
645
+ | 0.0136 | 2.1090 | 2950 | 0.0104 |
646
+ | 0.0127 | 2.1126 | 2955 | 0.0102 |
647
+ | 0.0158 | 2.1162 | 2960 | 0.0099 |
648
+ | 0.0147 | 2.1197 | 2965 | 0.0099 |
649
+ | 0.0227 | 2.1233 | 2970 | 0.0100 |
650
+ | 0.0105 | 2.1269 | 2975 | 0.0100 |
651
+ | 0.0112 | 2.1305 | 2980 | 0.0101 |
652
+ | 0.0107 | 2.1340 | 2985 | 0.0100 |
653
+ | 0.0105 | 2.1376 | 2990 | 0.0099 |
654
+ | 0.0129 | 2.1412 | 2995 | 0.0097 |
655
+ | 0.0098 | 2.1448 | 3000 | 0.0098 |
656
+ | 0.0161 | 2.1483 | 3005 | 0.0100 |
657
+ | 0.0129 | 2.1519 | 3010 | 0.0100 |
658
+ | 0.0131 | 2.1555 | 3015 | 0.0102 |
659
+ | 0.0212 | 2.1591 | 3020 | 0.0101 |
660
+ | 0.0076 | 2.1626 | 3025 | 0.0103 |
661
+ | 0.0079 | 2.1662 | 3030 | 0.0101 |
662
+ | 0.015 | 2.1698 | 3035 | 0.0101 |
663
+ | 0.0154 | 2.1734 | 3040 | 0.0105 |
664
+ | 0.0113 | 2.1769 | 3045 | 0.0103 |
665
+ | 0.0151 | 2.1805 | 3050 | 0.0102 |
666
+ | 0.0129 | 2.1841 | 3055 | 0.0099 |
667
+ | 0.0097 | 2.1877 | 3060 | 0.0099 |
668
+ | 0.0084 | 2.1912 | 3065 | 0.0100 |
669
+ | 0.0179 | 2.1948 | 3070 | 0.0102 |
670
+ | 0.0107 | 2.1984 | 3075 | 0.0100 |
671
+ | 0.0238 | 2.2020 | 3080 | 0.0100 |
672
+ | 0.0125 | 2.2055 | 3085 | 0.0101 |
673
+ | 0.0094 | 2.2091 | 3090 | 0.0101 |
674
+ | 0.0073 | 2.2127 | 3095 | 0.0101 |
675
+ | 0.0064 | 2.2163 | 3100 | 0.0100 |
676
+ | 0.0158 | 2.2198 | 3105 | 0.0100 |
677
+ | 0.0105 | 2.2234 | 3110 | 0.0100 |
678
+ | 0.014 | 2.2270 | 3115 | 0.0100 |
679
+ | 0.0136 | 2.2306 | 3120 | 0.0101 |
680
+ | 0.0115 | 2.2341 | 3125 | 0.0101 |
681
+ | 0.0138 | 2.2377 | 3130 | 0.0101 |
682
+ | 0.0179 | 2.2413 | 3135 | 0.0098 |
683
+ | 0.0143 | 2.2449 | 3140 | 0.0098 |
684
+ | 0.0138 | 2.2484 | 3145 | 0.0099 |
685
+ | 0.0197 | 2.2520 | 3150 | 0.0097 |
686
+ | 0.0109 | 2.2556 | 3155 | 0.0096 |
687
+ | 0.0115 | 2.2592 | 3160 | 0.0097 |
688
+ | 0.0133 | 2.2627 | 3165 | 0.0096 |
689
+ | 0.0099 | 2.2663 | 3170 | 0.0095 |
690
+ | 0.0098 | 2.2699 | 3175 | 0.0096 |
691
+ | 0.0164 | 2.2735 | 3180 | 0.0097 |
692
+ | 0.0101 | 2.2770 | 3185 | 0.0099 |
693
+ | 0.0211 | 2.2806 | 3190 | 0.0099 |
694
+ | 0.0081 | 2.2842 | 3195 | 0.0098 |
695
+ | 0.0073 | 2.2878 | 3200 | 0.0099 |
696
+ | 0.0071 | 2.2913 | 3205 | 0.0101 |
697
+ | 0.0147 | 2.2949 | 3210 | 0.0102 |
698
+ | 0.0185 | 2.2985 | 3215 | 0.0100 |
699
+ | 0.0106 | 2.3021 | 3220 | 0.0098 |
700
+ | 0.0081 | 2.3056 | 3225 | 0.0099 |
701
+ | 0.0139 | 2.3092 | 3230 | 0.0098 |
702
+ | 0.0143 | 2.3128 | 3235 | 0.0099 |
703
+ | 0.0096 | 2.3164 | 3240 | 0.0098 |
704
+ | 0.0134 | 2.3199 | 3245 | 0.0097 |
705
+ | 0.0101 | 2.3235 | 3250 | 0.0096 |
706
+ | 0.0118 | 2.3271 | 3255 | 0.0095 |
707
+ | 0.0151 | 2.3307 | 3260 | 0.0094 |
708
+ | 0.0079 | 2.3342 | 3265 | 0.0094 |
709
+ | 0.0161 | 2.3378 | 3270 | 0.0096 |
710
+ | 0.0102 | 2.3414 | 3275 | 0.0095 |
711
+ | 0.0157 | 2.3450 | 3280 | 0.0095 |
712
+ | 0.0077 | 2.3485 | 3285 | 0.0095 |
713
+ | 0.0214 | 2.3521 | 3290 | 0.0095 |
714
+ | 0.0152 | 2.3557 | 3295 | 0.0094 |
715
+ | 0.0093 | 2.3592 | 3300 | 0.0093 |
716
+ | 0.0149 | 2.3628 | 3305 | 0.0092 |
717
+ | 0.0139 | 2.3664 | 3310 | 0.0094 |
718
+ | 0.0121 | 2.3700 | 3315 | 0.0094 |
719
+ | 0.0159 | 2.3735 | 3320 | 0.0094 |
720
+ | 0.0148 | 2.3771 | 3325 | 0.0094 |
721
+ | 0.0074 | 2.3807 | 3330 | 0.0094 |
722
+ | 0.0099 | 2.3843 | 3335 | 0.0093 |
723
+ | 0.0167 | 2.3878 | 3340 | 0.0094 |
724
+ | 0.0148 | 2.3914 | 3345 | 0.0094 |
725
+ | 0.0113 | 2.3950 | 3350 | 0.0097 |
726
+ | 0.014 | 2.3986 | 3355 | 0.0099 |
727
+ | 0.0142 | 2.4021 | 3360 | 0.0099 |
728
+ | 0.0123 | 2.4057 | 3365 | 0.0101 |
729
+ | 0.0119 | 2.4093 | 3370 | 0.0099 |
730
+ | 0.0116 | 2.4129 | 3375 | 0.0096 |
731
+ | 0.0089 | 2.4164 | 3380 | 0.0095 |
732
+ | 0.0179 | 2.4200 | 3385 | 0.0095 |
733
+ | 0.0131 | 2.4236 | 3390 | 0.0097 |
734
+ | 0.0134 | 2.4272 | 3395 | 0.0098 |
735
+ | 0.012 | 2.4307 | 3400 | 0.0097 |
736
+ | 0.012 | 2.4343 | 3405 | 0.0098 |
737
+ | 0.0092 | 2.4379 | 3410 | 0.0097 |
738
+ | 0.0116 | 2.4415 | 3415 | 0.0098 |
739
+ | 0.017 | 2.4450 | 3420 | 0.0096 |
740
+ | 0.0105 | 2.4486 | 3425 | 0.0096 |
741
+ | 0.0155 | 2.4522 | 3430 | 0.0098 |
742
+ | 0.0126 | 2.4558 | 3435 | 0.0099 |
743
+ | 0.0097 | 2.4593 | 3440 | 0.0100 |
744
+ | 0.0106 | 2.4629 | 3445 | 0.0100 |
745
+ | 0.0156 | 2.4665 | 3450 | 0.0100 |
746
+ | 0.0114 | 2.4701 | 3455 | 0.0100 |
747
+ | 0.0111 | 2.4736 | 3460 | 0.0102 |
748
+ | 0.0123 | 2.4772 | 3465 | 0.0100 |
749
+ | 0.0097 | 2.4808 | 3470 | 0.0100 |
750
+ | 0.015 | 2.4844 | 3475 | 0.0100 |
751
+ | 0.0105 | 2.4879 | 3480 | 0.0101 |
752
+ | 0.0175 | 2.4915 | 3485 | 0.0100 |
753
+ | 0.0137 | 2.4951 | 3490 | 0.0100 |
754
+ | 0.0197 | 2.4987 | 3495 | 0.0102 |
755
+ | 0.0109 | 2.5022 | 3500 | 0.0103 |
756
+ | 0.0115 | 2.5058 | 3505 | 0.0101 |
757
+ | 0.0112 | 2.5094 | 3510 | 0.0101 |
758
+ | 0.0124 | 2.5130 | 3515 | 0.0102 |
759
+ | 0.0104 | 2.5165 | 3520 | 0.0104 |
760
+ | 0.0089 | 2.5201 | 3525 | 0.0103 |
761
+ | 0.0105 | 2.5237 | 3530 | 0.0102 |
762
+ | 0.0108 | 2.5273 | 3535 | 0.0100 |
763
+ | 0.0143 | 2.5308 | 3540 | 0.0097 |
764
+ | 0.0142 | 2.5344 | 3545 | 0.0097 |
765
+ | 0.0105 | 2.5380 | 3550 | 0.0098 |
766
+ | 0.0062 | 2.5416 | 3555 | 0.0098 |
767
+ | 0.0108 | 2.5451 | 3560 | 0.0099 |
768
+ | 0.0084 | 2.5487 | 3565 | 0.0098 |
769
+ | 0.0102 | 2.5523 | 3570 | 0.0098 |
770
+ | 0.0098 | 2.5559 | 3575 | 0.0097 |
771
+ | 0.0076 | 2.5594 | 3580 | 0.0098 |
772
+ | 0.0136 | 2.5630 | 3585 | 0.0098 |
773
+ | 0.0095 | 2.5666 | 3590 | 0.0098 |
774
+ | 0.0119 | 2.5702 | 3595 | 0.0099 |
775
+ | 0.0137 | 2.5737 | 3600 | 0.0098 |
776
+ | 0.0172 | 2.5773 | 3605 | 0.0098 |
777
+ | 0.0094 | 2.5809 | 3610 | 0.0099 |
778
+ | 0.0095 | 2.5845 | 3615 | 0.0099 |
779
+ | 0.0127 | 2.5880 | 3620 | 0.0098 |
780
+ | 0.0101 | 2.5916 | 3625 | 0.0098 |
781
+ | 0.0158 | 2.5952 | 3630 | 0.0099 |
782
+ | 0.0118 | 2.5987 | 3635 | 0.0098 |
783
+ | 0.008 | 2.6023 | 3640 | 0.0097 |
784
+ | 0.0157 | 2.6059 | 3645 | 0.0095 |
785
+ | 0.0113 | 2.6095 | 3650 | 0.0095 |
786
+ | 0.0162 | 2.6130 | 3655 | 0.0097 |
787
+ | 0.014 | 2.6166 | 3660 | 0.0099 |
788
+ | 0.0192 | 2.6202 | 3665 | 0.0100 |
789
+ | 0.0173 | 2.6238 | 3670 | 0.0099 |
790
+ | 0.02 | 2.6273 | 3675 | 0.0099 |
791
+ | 0.011 | 2.6309 | 3680 | 0.0098 |
792
+ | 0.0115 | 2.6345 | 3685 | 0.0096 |
793
+ | 0.0135 | 2.6381 | 3690 | 0.0094 |
794
+ | 0.0115 | 2.6416 | 3695 | 0.0096 |
795
+ | 0.008 | 2.6452 | 3700 | 0.0096 |
796
+ | 0.0146 | 2.6488 | 3705 | 0.0097 |
797
+ | 0.0086 | 2.6524 | 3710 | 0.0097 |
798
+ | 0.0095 | 2.6559 | 3715 | 0.0097 |
799
+ | 0.0096 | 2.6595 | 3720 | 0.0096 |
800
+ | 0.0101 | 2.6631 | 3725 | 0.0096 |
801
+ | 0.011 | 2.6667 | 3730 | 0.0097 |
802
+ | 0.0106 | 2.6702 | 3735 | 0.0098 |
803
+ | 0.0095 | 2.6738 | 3740 | 0.0097 |
804
+ | 0.0104 | 2.6774 | 3745 | 0.0098 |
805
+ | 0.013 | 2.6810 | 3750 | 0.0097 |
806
+ | 0.0093 | 2.6845 | 3755 | 0.0097 |
807
+ | 0.0117 | 2.6881 | 3760 | 0.0096 |
808
+ | 0.0181 | 2.6917 | 3765 | 0.0095 |
809
+ | 0.0125 | 2.6953 | 3770 | 0.0095 |
810
+ | 0.0132 | 2.6988 | 3775 | 0.0094 |
811
+ | 0.0075 | 2.7024 | 3780 | 0.0093 |
812
+ | 0.0101 | 2.7060 | 3785 | 0.0091 |
813
+ | 0.0086 | 2.7096 | 3790 | 0.0092 |
814
+ | 0.0118 | 2.7131 | 3795 | 0.0092 |
815
+ | 0.0095 | 2.7167 | 3800 | 0.0092 |
816
+ | 0.0117 | 2.7203 | 3805 | 0.0092 |
817
+ | 0.0128 | 2.7239 | 3810 | 0.0092 |
818
+ | 0.0123 | 2.7274 | 3815 | 0.0092 |
819
+ | 0.0189 | 2.7310 | 3820 | 0.0092 |
820
+ | 0.0127 | 2.7346 | 3825 | 0.0091 |
821
+ | 0.0089 | 2.7382 | 3830 | 0.0093 |
822
+ | 0.0115 | 2.7417 | 3835 | 0.0094 |
823
+ | 0.0105 | 2.7453 | 3840 | 0.0092 |
824
+ | 0.0077 | 2.7489 | 3845 | 0.0093 |
825
+ | 0.0087 | 2.7525 | 3850 | 0.0094 |
826
+ | 0.009 | 2.7560 | 3855 | 0.0093 |
827
+ | 0.0243 | 2.7596 | 3860 | 0.0095 |
828
+ | 0.0105 | 2.7632 | 3865 | 0.0096 |
829
+ | 0.016 | 2.7668 | 3870 | 0.0094 |
830
+ | 0.0085 | 2.7703 | 3875 | 0.0094 |
831
+ | 0.0111 | 2.7739 | 3880 | 0.0094 |
832
+ | 0.0146 | 2.7775 | 3885 | 0.0095 |
833
+ | 0.007 | 2.7811 | 3890 | 0.0094 |
834
+ | 0.0129 | 2.7846 | 3895 | 0.0095 |
835
+ | 0.0118 | 2.7882 | 3900 | 0.0096 |
836
+ | 0.0092 | 2.7918 | 3905 | 0.0097 |
837
+ | 0.0075 | 2.7954 | 3910 | 0.0098 |
838
+ | 0.0121 | 2.7989 | 3915 | 0.0098 |
839
+ | 0.0075 | 2.8025 | 3920 | 0.0097 |
840
+ | 0.0104 | 2.8061 | 3925 | 0.0097 |
841
+ | 0.0081 | 2.8097 | 3930 | 0.0097 |
842
+ | 0.0091 | 2.8132 | 3935 | 0.0098 |
843
+ | 0.013 | 2.8168 | 3940 | 0.0097 |
844
+ | 0.0109 | 2.8204 | 3945 | 0.0095 |
845
+ | 0.0151 | 2.8239 | 3950 | 0.0093 |
846
+ | 0.0083 | 2.8275 | 3955 | 0.0095 |
847
+ | 0.0151 | 2.8311 | 3960 | 0.0095 |
848
+ | 0.007 | 2.8347 | 3965 | 0.0095 |
849
+ | 0.0093 | 2.8382 | 3970 | 0.0093 |
850
+ | 0.0106 | 2.8418 | 3975 | 0.0092 |
851
+ | 0.0155 | 2.8454 | 3980 | 0.0093 |
852
+ | 0.0061 | 2.8490 | 3985 | 0.0092 |
853
+ | 0.0089 | 2.8525 | 3990 | 0.0092 |
854
+ | 0.0196 | 2.8561 | 3995 | 0.0092 |
855
+ | 0.0142 | 2.8597 | 4000 | 0.0092 |
856
+ | 0.0141 | 2.8633 | 4005 | 0.0092 |
857
+ | 0.0124 | 2.8668 | 4010 | 0.0093 |
858
+ | 0.014 | 2.8704 | 4015 | 0.0094 |
859
+ | 0.0105 | 2.8740 | 4020 | 0.0094 |
860
+ | 0.0095 | 2.8776 | 4025 | 0.0093 |
861
+ | 0.0071 | 2.8811 | 4030 | 0.0094 |
862
+ | 0.0119 | 2.8847 | 4035 | 0.0092 |
863
+ | 0.013 | 2.8883 | 4040 | 0.0093 |
864
+ | 0.0164 | 2.8919 | 4045 | 0.0094 |
865
+ | 0.0081 | 2.8954 | 4050 | 0.0095 |
866
+ | 0.0107 | 2.8990 | 4055 | 0.0095 |
867
+ | 0.0103 | 2.9026 | 4060 | 0.0094 |
868
+ | 0.0134 | 2.9062 | 4065 | 0.0093 |
869
+ | 0.0169 | 2.9097 | 4070 | 0.0093 |
870
+ | 0.0156 | 2.9133 | 4075 | 0.0093 |
871
+ | 0.0131 | 2.9169 | 4080 | 0.0093 |
872
+ | 0.0206 | 2.9205 | 4085 | 0.0094 |
873
+ | 0.0113 | 2.9240 | 4090 | 0.0093 |
874
+ | 0.0142 | 2.9276 | 4095 | 0.0094 |
875
+ | 0.012 | 2.9312 | 4100 | 0.0093 |
876
+ | 0.0121 | 2.9348 | 4105 | 0.0093 |
877
+ | 0.0107 | 2.9383 | 4110 | 0.0094 |
878
+ | 0.0069 | 2.9419 | 4115 | 0.0093 |
879
+ | 0.0084 | 2.9455 | 4120 | 0.0093 |
880
+ | 0.0075 | 2.9491 | 4125 | 0.0094 |
881
+ | 0.0098 | 2.9526 | 4130 | 0.0093 |
882
+ | 0.0107 | 2.9562 | 4135 | 0.0093 |
883
+ | 0.0117 | 2.9598 | 4140 | 0.0093 |
884
+ | 0.009 | 2.9634 | 4145 | 0.0094 |
885
+ | 0.0093 | 2.9669 | 4150 | 0.0095 |
886
+ | 0.0078 | 2.9705 | 4155 | 0.0095 |
887
+ | 0.0106 | 2.9741 | 4160 | 0.0094 |
888
+ | 0.0058 | 2.9777 | 4165 | 0.0095 |
889
+ | 0.0081 | 2.9812 | 4170 | 0.0093 |
890
+ | 0.0073 | 2.9848 | 4175 | 0.0093 |
891
+ | 0.0121 | 2.9884 | 4180 | 0.0095 |
892
+ | 0.0101 | 2.9920 | 4185 | 0.0095 |
893
+ | 0.0066 | 2.9955 | 4190 | 0.0094 |
894
+ | 0.0125 | 2.9991 | 4195 | 0.0094 |
895
+ | 0.0114 | 3.0027 | 4200 | 0.0095 |
896
+ | 0.0061 | 3.0063 | 4205 | 0.0097 |
897
+ | 0.0091 | 3.0098 | 4210 | 0.0098 |
898
+ | 0.0083 | 3.0134 | 4215 | 0.0098 |
899
+ | 0.0086 | 3.0170 | 4220 | 0.0097 |
900
+ | 0.0089 | 3.0206 | 4225 | 0.0097 |
901
+ | 0.0089 | 3.0241 | 4230 | 0.0097 |
902
+ | 0.008 | 3.0277 | 4235 | 0.0098 |
903
+ | 0.0092 | 3.0313 | 4240 | 0.0099 |
904
+ | 0.0068 | 3.0349 | 4245 | 0.0100 |
905
+ | 0.008 | 3.0384 | 4250 | 0.0100 |
906
+ | 0.0087 | 3.0420 | 4255 | 0.0099 |
907
+ | 0.0077 | 3.0456 | 4260 | 0.0098 |
908
+ | 0.0081 | 3.0492 | 4265 | 0.0097 |
909
+ | 0.0062 | 3.0527 | 4270 | 0.0096 |
910
+ | 0.0068 | 3.0563 | 4275 | 0.0096 |
911
+ | 0.0096 | 3.0599 | 4280 | 0.0094 |
912
+ | 0.0121 | 3.0634 | 4285 | 0.0095 |
913
+ | 0.0075 | 3.0670 | 4290 | 0.0094 |
914
+ | 0.0087 | 3.0706 | 4295 | 0.0093 |
915
+ | 0.0083 | 3.0742 | 4300 | 0.0094 |
916
+ | 0.0122 | 3.0777 | 4305 | 0.0094 |
917
+ | 0.0072 | 3.0813 | 4310 | 0.0092 |
918
+ | 0.0068 | 3.0849 | 4315 | 0.0092 |
919
+ | 0.0101 | 3.0885 | 4320 | 0.0095 |
920
+ | 0.0091 | 3.0920 | 4325 | 0.0094 |
921
+ | 0.0065 | 3.0956 | 4330 | 0.0094 |
922
+ | 0.0123 | 3.0992 | 4335 | 0.0094 |
923
+ | 0.0112 | 3.1028 | 4340 | 0.0092 |
924
+ | 0.0106 | 3.1063 | 4345 | 0.0092 |
925
+ | 0.0055 | 3.1099 | 4350 | 0.0095 |
926
+ | 0.0154 | 3.1135 | 4355 | 0.0095 |
927
+ | 0.0058 | 3.1171 | 4360 | 0.0094 |
928
+ | 0.0087 | 3.1206 | 4365 | 0.0091 |
929
+ | 0.0083 | 3.1242 | 4370 | 0.0094 |
930
+ | 0.0066 | 3.1278 | 4375 | 0.0092 |
931
+ | 0.0058 | 3.1314 | 4380 | 0.0092 |
932
+ | 0.0055 | 3.1349 | 4385 | 0.0091 |
933
+ | 0.0055 | 3.1385 | 4390 | 0.0091 |
934
+ | 0.0065 | 3.1421 | 4395 | 0.0091 |
935
+ | 0.0097 | 3.1457 | 4400 | 0.0092 |
936
+ | 0.0081 | 3.1492 | 4405 | 0.0092 |
937
+ | 0.008 | 3.1528 | 4410 | 0.0092 |
938
+ | 0.0076 | 3.1564 | 4415 | 0.0093 |
939
+ | 0.0055 | 3.1600 | 4420 | 0.0094 |
940
+ | 0.0073 | 3.1635 | 4425 | 0.0092 |
941
+ | 0.0092 | 3.1671 | 4430 | 0.0093 |
942
+ | 0.0072 | 3.1707 | 4435 | 0.0093 |
943
+ | 0.0153 | 3.1743 | 4440 | 0.0094 |
944
+ | 0.0086 | 3.1778 | 4445 | 0.0091 |
945
+ | 0.0114 | 3.1814 | 4450 | 0.0090 |
946
+ | 0.0052 | 3.1850 | 4455 | 0.0088 |
947
+ | 0.0105 | 3.1886 | 4460 | 0.0089 |
948
+ | 0.0108 | 3.1921 | 4465 | 0.0087 |
949
+ | 0.0144 | 3.1957 | 4470 | 0.0087 |
950
+ | 0.0077 | 3.1993 | 4475 | 0.0091 |
951
+ | 0.0064 | 3.2029 | 4480 | 0.0093 |
952
+ | 0.008 | 3.2064 | 4485 | 0.0092 |
953
+ | 0.0051 | 3.2100 | 4490 | 0.0090 |
954
+ | 0.008 | 3.2136 | 4495 | 0.0089 |
955
+ | 0.0055 | 3.2172 | 4500 | 0.0090 |
956
+ | 0.0049 | 3.2207 | 4505 | 0.0091 |
957
+ | 0.0063 | 3.2243 | 4510 | 0.0090 |
958
+ | 0.0132 | 3.2279 | 4515 | 0.0090 |
959
+ | 0.0063 | 3.2315 | 4520 | 0.0091 |
960
+ | 0.0058 | 3.2350 | 4525 | 0.0091 |
961
+ | 0.0085 | 3.2386 | 4530 | 0.0091 |
962
+ | 0.0093 | 3.2422 | 4535 | 0.0091 |
963
+ | 0.006 | 3.2458 | 4540 | 0.0090 |
964
+ | 0.0055 | 3.2493 | 4545 | 0.0089 |
965
+ | 0.0075 | 3.2529 | 4550 | 0.0089 |
966
+ | 0.0074 | 3.2565 | 4555 | 0.0088 |
967
+ | 0.0061 | 3.2601 | 4560 | 0.0088 |
968
+ | 0.0054 | 3.2636 | 4565 | 0.0087 |
969
+ | 0.0046 | 3.2672 | 4570 | 0.0087 |
970
+ | 0.012 | 3.2708 | 4575 | 0.0087 |
971
+ | 0.0051 | 3.2744 | 4580 | 0.0088 |
972
+ | 0.0098 | 3.2779 | 4585 | 0.0089 |
973
+ | 0.0083 | 3.2815 | 4590 | 0.0089 |
974
+ | 0.0125 | 3.2851 | 4595 | 0.0088 |
975
+ | 0.0093 | 3.2887 | 4600 | 0.0085 |
976
+ | 0.0097 | 3.2922 | 4605 | 0.0084 |
977
+ | 0.0074 | 3.2958 | 4610 | 0.0084 |
978
+ | 0.0114 | 3.2994 | 4615 | 0.0084 |
979
+ | 0.005 | 3.3029 | 4620 | 0.0085 |
980
+ | 0.0056 | 3.3065 | 4625 | 0.0085 |
981
+ | 0.0088 | 3.3101 | 4630 | 0.0086 |
982
+ | 0.0062 | 3.3137 | 4635 | 0.0087 |
983
+ | 0.0076 | 3.3172 | 4640 | 0.0087 |
984
+ | 0.0091 | 3.3208 | 4645 | 0.0087 |
985
+ | 0.0123 | 3.3244 | 4650 | 0.0086 |
986
+ | 0.0063 | 3.3280 | 4655 | 0.0086 |
987
+ | 0.0057 | 3.3315 | 4660 | 0.0085 |
988
+ | 0.0067 | 3.3351 | 4665 | 0.0086 |
989
+ | 0.0063 | 3.3387 | 4670 | 0.0086 |
990
+ | 0.0083 | 3.3423 | 4675 | 0.0086 |
991
+ | 0.0086 | 3.3458 | 4680 | 0.0086 |
992
+ | 0.0092 | 3.3494 | 4685 | 0.0086 |
993
+ | 0.0057 | 3.3530 | 4690 | 0.0085 |
994
+ | 0.0089 | 3.3566 | 4695 | 0.0086 |
995
+ | 0.0062 | 3.3601 | 4700 | 0.0086 |
996
+ | 0.0067 | 3.3637 | 4705 | 0.0086 |
997
+ | 0.0058 | 3.3673 | 4710 | 0.0087 |
998
+ | 0.0055 | 3.3709 | 4715 | 0.0086 |
999
+ | 0.0072 | 3.3744 | 4720 | 0.0087 |
1000
+ | 0.0064 | 3.3780 | 4725 | 0.0086 |
1001
+ | 0.0058 | 3.3816 | 4730 | 0.0085 |
1002
+ | 0.0095 | 3.3852 | 4735 | 0.0084 |
1003
+ | 0.0066 | 3.3887 | 4740 | 0.0084 |
1004
+ | 0.0117 | 3.3923 | 4745 | 0.0084 |
1005
+ | 0.0079 | 3.3959 | 4750 | 0.0083 |
1006
+ | 0.006 | 3.3995 | 4755 | 0.0082 |
1007
+ | 0.0069 | 3.4030 | 4760 | 0.0082 |
1008
+ | 0.0052 | 3.4066 | 4765 | 0.0083 |
1009
+ | 0.0092 | 3.4102 | 4770 | 0.0084 |
1010
+ | 0.005 | 3.4138 | 4775 | 0.0084 |
1011
+ | 0.016 | 3.4173 | 4780 | 0.0084 |
1012
+ | 0.0086 | 3.4209 | 4785 | 0.0083 |
1013
+ | 0.0063 | 3.4245 | 4790 | 0.0082 |
1014
+ | 0.0117 | 3.4281 | 4795 | 0.0083 |
1015
+ | 0.0084 | 3.4316 | 4800 | 0.0083 |
1016
+ | 0.0118 | 3.4352 | 4805 | 0.0083 |
1017
+ | 0.0099 | 3.4388 | 4810 | 0.0084 |
1018
+ | 0.0102 | 3.4424 | 4815 | 0.0083 |
1019
+ | 0.0075 | 3.4459 | 4820 | 0.0084 |
1020
+ | 0.0072 | 3.4495 | 4825 | 0.0083 |
1021
+ | 0.0077 | 3.4531 | 4830 | 0.0081 |
1022
+ | 0.0079 | 3.4567 | 4835 | 0.0081 |
1023
+ | 0.0053 | 3.4602 | 4840 | 0.0082 |
1024
+ | 0.0083 | 3.4638 | 4845 | 0.0081 |
1025
+ | 0.006 | 3.4674 | 4850 | 0.0081 |
1026
+ | 0.01 | 3.4710 | 4855 | 0.0081 |
1027
+ | 0.0062 | 3.4745 | 4860 | 0.0082 |
1028
+ | 0.0058 | 3.4781 | 4865 | 0.0082 |
1029
+ | 0.007 | 3.4817 | 4870 | 0.0080 |
1030
+ | 0.0124 | 3.4853 | 4875 | 0.0080 |
1031
+ | 0.0068 | 3.4888 | 4880 | 0.0082 |
1032
+ | 0.0045 | 3.4924 | 4885 | 0.0082 |
1033
+ | 0.0088 | 3.4960 | 4890 | 0.0083 |
1034
+ | 0.0042 | 3.4996 | 4895 | 0.0084 |
1035
+ | 0.0046 | 3.5031 | 4900 | 0.0082 |
1036
+ | 0.0085 | 3.5067 | 4905 | 0.0082 |
1037
+ | 0.0109 | 3.5103 | 4910 | 0.0082 |
1038
+ | 0.0049 | 3.5139 | 4915 | 0.0084 |
1039
+ | 0.0064 | 3.5174 | 4920 | 0.0084 |
1040
+ | 0.0048 | 3.5210 | 4925 | 0.0083 |
1041
+ | 0.007 | 3.5246 | 4930 | 0.0082 |
1042
+ | 0.0059 | 3.5282 | 4935 | 0.0083 |
1043
+ | 0.0052 | 3.5317 | 4940 | 0.0085 |
1044
+ | 0.0105 | 3.5353 | 4945 | 0.0085 |
1045
+ | 0.0079 | 3.5389 | 4950 | 0.0083 |
1046
+ | 0.0089 | 3.5424 | 4955 | 0.0083 |
1047
+ | 0.0055 | 3.5460 | 4960 | 0.0084 |
1048
+ | 0.0089 | 3.5496 | 4965 | 0.0084 |
1049
+ | 0.0052 | 3.5532 | 4970 | 0.0084 |
1050
+ | 0.0073 | 3.5567 | 4975 | 0.0084 |
1051
+ | 0.0059 | 3.5603 | 4980 | 0.0082 |
1052
+ | 0.0053 | 3.5639 | 4985 | 0.0080 |
1053
+ | 0.0061 | 3.5675 | 4990 | 0.0080 |
1054
+ | 0.0057 | 3.5710 | 4995 | 0.0081 |
1055
+ | 0.0108 | 3.5746 | 5000 | 0.0082 |
1056
+ | 0.0128 | 3.5782 | 5005 | 0.0083 |
1057
+ | 0.0059 | 3.5818 | 5010 | 0.0083 |
1058
+ | 0.0072 | 3.5853 | 5015 | 0.0082 |
1059
+ | 0.0058 | 3.5889 | 5020 | 0.0082 |
1060
+ | 0.0086 | 3.5925 | 5025 | 0.0081 |
1061
+ | 0.0081 | 3.5961 | 5030 | 0.0081 |
1062
+ | 0.0123 | 3.5996 | 5035 | 0.0081 |
1063
+ | 0.0065 | 3.6032 | 5040 | 0.0081 |
1064
+ | 0.0097 | 3.6068 | 5045 | 0.0080 |
1065
+ | 0.0086 | 3.6104 | 5050 | 0.0079 |
1066
+ | 0.0065 | 3.6139 | 5055 | 0.0079 |
1067
+ | 0.0067 | 3.6175 | 5060 | 0.0079 |
1068
+ | 0.005 | 3.6211 | 5065 | 0.0079 |
1069
+ | 0.0047 | 3.6247 | 5070 | 0.0079 |
1070
+ | 0.0139 | 3.6282 | 5075 | 0.0079 |
1071
+ | 0.0065 | 3.6318 | 5080 | 0.0079 |
1072
+ | 0.0062 | 3.6354 | 5085 | 0.0079 |
1073
+ | 0.0073 | 3.6390 | 5090 | 0.0080 |
1074
+ | 0.0067 | 3.6425 | 5095 | 0.0081 |
1075
+ | 0.0053 | 3.6461 | 5100 | 0.0081 |
1076
+ | 0.0057 | 3.6497 | 5105 | 0.0080 |
1077
+ | 0.0063 | 3.6533 | 5110 | 0.0080 |
1078
+ | 0.0108 | 3.6568 | 5115 | 0.0081 |
1079
+ | 0.0116 | 3.6604 | 5120 | 0.0079 |
1080
+ | 0.0047 | 3.6640 | 5125 | 0.0079 |
1081
+ | 0.0051 | 3.6676 | 5130 | 0.0079 |
1082
+ | 0.0067 | 3.6711 | 5135 | 0.0078 |
1083
+ | 0.005 | 3.6747 | 5140 | 0.0078 |
1084
+ | 0.0065 | 3.6783 | 5145 | 0.0079 |
1085
+ | 0.0085 | 3.6819 | 5150 | 0.0078 |
1086
+ | 0.0044 | 3.6854 | 5155 | 0.0077 |
1087
+ | 0.0095 | 3.6890 | 5160 | 0.0077 |
1088
+ | 0.0048 | 3.6926 | 5165 | 0.0078 |
1089
+ | 0.0045 | 3.6962 | 5170 | 0.0078 |
1090
+ | 0.0103 | 3.6997 | 5175 | 0.0078 |
1091
+ | 0.0061 | 3.7033 | 5180 | 0.0078 |
1092
+ | 0.0071 | 3.7069 | 5185 | 0.0078 |
1093
+ | 0.0054 | 3.7105 | 5190 | 0.0078 |
1094
+ | 0.0056 | 3.7140 | 5195 | 0.0078 |
1095
+ | 0.0087 | 3.7176 | 5200 | 0.0077 |
1096
+ | 0.0069 | 3.7212 | 5205 | 0.0077 |
1097
+ | 0.0105 | 3.7248 | 5210 | 0.0076 |
1098
+ | 0.0077 | 3.7283 | 5215 | 0.0076 |
1099
+ | 0.0047 | 3.7319 | 5220 | 0.0076 |
1100
+ | 0.0058 | 3.7355 | 5225 | 0.0076 |
1101
+ | 0.0068 | 3.7391 | 5230 | 0.0076 |
1102
+ | 0.0082 | 3.7426 | 5235 | 0.0077 |
1103
+ | 0.0046 | 3.7462 | 5240 | 0.0077 |
1104
+ | 0.0051 | 3.7498 | 5245 | 0.0077 |
1105
+ | 0.0058 | 3.7534 | 5250 | 0.0077 |
1106
+ | 0.0087 | 3.7569 | 5255 | 0.0078 |
1107
+ | 0.0092 | 3.7605 | 5260 | 0.0078 |
1108
+ | 0.0055 | 3.7641 | 5265 | 0.0077 |
1109
+ | 0.0042 | 3.7676 | 5270 | 0.0076 |
1110
+ | 0.0048 | 3.7712 | 5275 | 0.0077 |
1111
+ | 0.0091 | 3.7748 | 5280 | 0.0074 |
1112
+ | 0.0039 | 3.7784 | 5285 | 0.0073 |
1113
+ | 0.0069 | 3.7819 | 5290 | 0.0073 |
1114
+ | 0.0075 | 3.7855 | 5295 | 0.0073 |
1115
+ | 0.0065 | 3.7891 | 5300 | 0.0073 |
1116
+ | 0.0066 | 3.7927 | 5305 | 0.0074 |
1117
+ | 0.0059 | 3.7962 | 5310 | 0.0074 |
1118
+ | 0.0083 | 3.7998 | 5315 | 0.0074 |
1119
+ | 0.0066 | 3.8034 | 5320 | 0.0076 |
1120
+ | 0.0061 | 3.8070 | 5325 | 0.0075 |
1121
+ | 0.0069 | 3.8105 | 5330 | 0.0074 |
1122
+ | 0.0079 | 3.8141 | 5335 | 0.0075 |
1123
+ | 0.0074 | 3.8177 | 5340 | 0.0074 |
1124
+ | 0.0063 | 3.8213 | 5345 | 0.0073 |
1125
+ | 0.0044 | 3.8248 | 5350 | 0.0073 |
1126
+ | 0.0051 | 3.8284 | 5355 | 0.0073 |
1127
+ | 0.0076 | 3.8320 | 5360 | 0.0073 |
1128
+ | 0.0041 | 3.8356 | 5365 | 0.0073 |
1129
+ | 0.0101 | 3.8391 | 5370 | 0.0072 |
1130
+ | 0.0059 | 3.8427 | 5375 | 0.0073 |
1131
+ | 0.0068 | 3.8463 | 5380 | 0.0073 |
1132
+ | 0.0042 | 3.8499 | 5385 | 0.0073 |
1133
+ | 0.0089 | 3.8534 | 5390 | 0.0074 |
1134
+ | 0.0066 | 3.8570 | 5395 | 0.0074 |
1135
+ | 0.0049 | 3.8606 | 5400 | 0.0074 |
1136
+ | 0.0069 | 3.8642 | 5405 | 0.0074 |
1137
+ | 0.0096 | 3.8677 | 5410 | 0.0074 |
1138
+ | 0.0076 | 3.8713 | 5415 | 0.0073 |
1139
+ | 0.0077 | 3.8749 | 5420 | 0.0070 |
1140
+ | 0.0102 | 3.8785 | 5425 | 0.0069 |
1141
+ | 0.0062 | 3.8820 | 5430 | 0.0069 |
1142
+ | 0.0067 | 3.8856 | 5435 | 0.0069 |
1143
+ | 0.0062 | 3.8892 | 5440 | 0.0069 |
1144
+ | 0.0061 | 3.8928 | 5445 | 0.0070 |
1145
+ | 0.0049 | 3.8963 | 5450 | 0.0070 |
1146
+ | 0.0073 | 3.8999 | 5455 | 0.0071 |
1147
+ | 0.0039 | 3.9035 | 5460 | 0.0072 |
1148
+ | 0.0075 | 3.9071 | 5465 | 0.0072 |
1149
+ | 0.0066 | 3.9106 | 5470 | 0.0072 |
1150
+ | 0.0044 | 3.9142 | 5475 | 0.0071 |
1151
+ | 0.0064 | 3.9178 | 5480 | 0.0071 |
1152
+ | 0.0088 | 3.9214 | 5485 | 0.0070 |
1153
+ | 0.0043 | 3.9249 | 5490 | 0.0070 |
1154
+ | 0.0095 | 3.9285 | 5495 | 0.0070 |
1155
+ | 0.0037 | 3.9321 | 5500 | 0.0070 |
1156
+ | 0.0077 | 3.9357 | 5505 | 0.0071 |
1157
+ | 0.0066 | 3.9392 | 5510 | 0.0070 |
1158
+ | 0.0046 | 3.9428 | 5515 | 0.0071 |
1159
+ | 0.0064 | 3.9464 | 5520 | 0.0071 |
1160
+ | 0.0073 | 3.9500 | 5525 | 0.0070 |
1161
+ | 0.0109 | 3.9535 | 5530 | 0.0069 |
1162
+ | 0.0046 | 3.9571 | 5535 | 0.0069 |
1163
+ | 0.0141 | 3.9607 | 5540 | 0.0070 |
1164
+ | 0.0054 | 3.9643 | 5545 | 0.0070 |
1165
+ | 0.0046 | 3.9678 | 5550 | 0.0070 |
1166
+ | 0.0063 | 3.9714 | 5555 | 0.0070 |
1167
+ | 0.0074 | 3.9750 | 5560 | 0.0070 |
1168
+ | 0.0108 | 3.9786 | 5565 | 0.0070 |
1169
+ | 0.0087 | 3.9821 | 5570 | 0.0070 |
1170
+ | 0.004 | 3.9857 | 5575 | 0.0069 |
1171
+ | 0.0037 | 3.9893 | 5580 | 0.0070 |
1172
+ | 0.0061 | 3.9929 | 5585 | 0.0070 |
1173
+ | 0.0071 | 3.9964 | 5590 | 0.0070 |
1174
+ | 0.0084 | 4.0 | 5595 | 0.0070 |
1175
+ | 0.005 | 4.0036 | 5600 | 0.0071 |
1176
+ | 0.0026 | 4.0071 | 5605 | 0.0073 |
1177
+ | 0.0037 | 4.0107 | 5610 | 0.0076 |
1178
+ | 0.0045 | 4.0143 | 5615 | 0.0077 |
1179
+ | 0.0039 | 4.0179 | 5620 | 0.0076 |
1180
+ | 0.004 | 4.0214 | 5625 | 0.0072 |
1181
+ | 0.0059 | 4.0250 | 5630 | 0.0071 |
1182
+ | 0.0033 | 4.0286 | 5635 | 0.0071 |
1183
+ | 0.003 | 4.0322 | 5640 | 0.0072 |
1184
+ | 0.0026 | 4.0357 | 5645 | 0.0072 |
1185
+ | 0.0024 | 4.0393 | 5650 | 0.0072 |
1186
+ | 0.004 | 4.0429 | 5655 | 0.0073 |
1187
+ | 0.0022 | 4.0465 | 5660 | 0.0073 |
1188
+ | 0.0051 | 4.0500 | 5665 | 0.0072 |
1189
+ | 0.0027 | 4.0536 | 5670 | 0.0072 |
1190
+ | 0.003 | 4.0572 | 5675 | 0.0072 |
1191
+ | 0.0044 | 4.0608 | 5680 | 0.0071 |
1192
+ | 0.0049 | 4.0643 | 5685 | 0.0072 |
1193
+ | 0.0046 | 4.0679 | 5690 | 0.0072 |
1194
+ | 0.0052 | 4.0715 | 5695 | 0.0072 |
1195
+ | 0.0028 | 4.0751 | 5700 | 0.0072 |
1196
+ | 0.0084 | 4.0786 | 5705 | 0.0073 |
1197
+ | 0.0033 | 4.0822 | 5710 | 0.0073 |
1198
+ | 0.0035 | 4.0858 | 5715 | 0.0072 |
1199
+ | 0.0028 | 4.0894 | 5720 | 0.0072 |
1200
+ | 0.0031 | 4.0929 | 5725 | 0.0072 |
1201
+ | 0.0053 | 4.0965 | 5730 | 0.0072 |
1202
+ | 0.0045 | 4.1001 | 5735 | 0.0073 |
1203
+ | 0.0046 | 4.1037 | 5740 | 0.0073 |
1204
+ | 0.0021 | 4.1072 | 5745 | 0.0074 |
1205
+ | 0.0025 | 4.1108 | 5750 | 0.0074 |
1206
+ | 0.0028 | 4.1144 | 5755 | 0.0075 |
1207
+ | 0.0048 | 4.1180 | 5760 | 0.0074 |
1208
+ | 0.0025 | 4.1215 | 5765 | 0.0074 |
1209
+ | 0.0029 | 4.1251 | 5770 | 0.0073 |
1210
+ | 0.0026 | 4.1287 | 5775 | 0.0073 |
1211
+ | 0.0052 | 4.1323 | 5780 | 0.0072 |
1212
+ | 0.0023 | 4.1358 | 5785 | 0.0073 |
1213
+ | 0.0041 | 4.1394 | 5790 | 0.0073 |
1214
+ | 0.0037 | 4.1430 | 5795 | 0.0073 |
1215
+ | 0.0043 | 4.1466 | 5800 | 0.0074 |
1216
+ | 0.0045 | 4.1501 | 5805 | 0.0073 |
1217
+ | 0.0022 | 4.1537 | 5810 | 0.0073 |
1218
+ | 0.003 | 4.1573 | 5815 | 0.0073 |
1219
+ | 0.0033 | 4.1609 | 5820 | 0.0073 |
1220
+ | 0.0037 | 4.1644 | 5825 | 0.0073 |
1221
+ | 0.0056 | 4.1680 | 5830 | 0.0074 |
1222
+ | 0.0031 | 4.1716 | 5835 | 0.0074 |
1223
+ | 0.004 | 4.1752 | 5840 | 0.0074 |
1224
+ | 0.0061 | 4.1787 | 5845 | 0.0074 |
1225
+ | 0.0041 | 4.1823 | 5850 | 0.0074 |
1226
+ | 0.002 | 4.1859 | 5855 | 0.0073 |
1227
+ | 0.0055 | 4.1895 | 5860 | 0.0074 |
1228
+ | 0.004 | 4.1930 | 5865 | 0.0073 |
1229
+ | 0.0043 | 4.1966 | 5870 | 0.0072 |
1230
+ | 0.0065 | 4.2002 | 5875 | 0.0072 |
1231
+ | 0.0019 | 4.2038 | 5880 | 0.0073 |
1232
+ | 0.0031 | 4.2073 | 5885 | 0.0073 |
1233
+ | 0.0043 | 4.2109 | 5890 | 0.0073 |
1234
+ | 0.0021 | 4.2145 | 5895 | 0.0073 |
1235
+ | 0.0041 | 4.2181 | 5900 | 0.0074 |
1236
+ | 0.0025 | 4.2216 | 5905 | 0.0075 |
1237
+ | 0.0057 | 4.2252 | 5910 | 0.0074 |
1238
+ | 0.0038 | 4.2288 | 5915 | 0.0073 |
1239
+ | 0.0017 | 4.2324 | 5920 | 0.0074 |
1240
+ | 0.0034 | 4.2359 | 5925 | 0.0073 |
1241
+ | 0.0047 | 4.2395 | 5930 | 0.0074 |
1242
+ | 0.0024 | 4.2431 | 5935 | 0.0074 |
1243
+ | 0.0033 | 4.2466 | 5940 | 0.0073 |
1244
+ | 0.0035 | 4.2502 | 5945 | 0.0074 |
1245
+ | 0.0022 | 4.2538 | 5950 | 0.0074 |
1246
+ | 0.0034 | 4.2574 | 5955 | 0.0074 |
1247
+ | 0.0034 | 4.2609 | 5960 | 0.0074 |
1248
+ | 0.004 | 4.2645 | 5965 | 0.0074 |
1249
+ | 0.0037 | 4.2681 | 5970 | 0.0073 |
1250
+ | 0.0035 | 4.2717 | 5975 | 0.0073 |
1251
+ | 0.0044 | 4.2752 | 5980 | 0.0073 |
1252
+ | 0.0034 | 4.2788 | 5985 | 0.0074 |
1253
+ | 0.0024 | 4.2824 | 5990 | 0.0074 |
1254
+ | 0.0023 | 4.2860 | 5995 | 0.0075 |
1255
+ | 0.0045 | 4.2895 | 6000 | 0.0075 |
1256
+ | 0.0044 | 4.2931 | 6005 | 0.0075 |
1257
+ | 0.0043 | 4.2967 | 6010 | 0.0074 |
1258
+ | 0.0032 | 4.3003 | 6015 | 0.0074 |
1259
+ | 0.0028 | 4.3038 | 6020 | 0.0073 |
1260
+ | 0.0033 | 4.3074 | 6025 | 0.0073 |
1261
+ | 0.002 | 4.3110 | 6030 | 0.0073 |
1262
+ | 0.0048 | 4.3146 | 6035 | 0.0072 |
1263
+ | 0.0026 | 4.3181 | 6040 | 0.0073 |
1264
+ | 0.0027 | 4.3217 | 6045 | 0.0072 |
1265
+ | 0.0034 | 4.3253 | 6050 | 0.0073 |
1266
+ | 0.004 | 4.3289 | 6055 | 0.0072 |
1267
+ | 0.0021 | 4.3324 | 6060 | 0.0072 |
1268
+ | 0.0035 | 4.3360 | 6065 | 0.0072 |
1269
+ | 0.0028 | 4.3396 | 6070 | 0.0072 |
1270
+ | 0.0039 | 4.3432 | 6075 | 0.0072 |
1271
+ | 0.0032 | 4.3467 | 6080 | 0.0072 |
1272
+ | 0.0036 | 4.3503 | 6085 | 0.0072 |
1273
+ | 0.0043 | 4.3539 | 6090 | 0.0072 |
1274
+ | 0.0025 | 4.3575 | 6095 | 0.0072 |
1275
+ | 0.003 | 4.3610 | 6100 | 0.0072 |
1276
+ | 0.0024 | 4.3646 | 6105 | 0.0072 |
1277
+ | 0.0047 | 4.3682 | 6110 | 0.0072 |
1278
+ | 0.0026 | 4.3718 | 6115 | 0.0072 |
1279
+ | 0.0057 | 4.3753 | 6120 | 0.0072 |
1280
+ | 0.0024 | 4.3789 | 6125 | 0.0072 |
1281
+ | 0.0036 | 4.3825 | 6130 | 0.0072 |
1282
+ | 0.0036 | 4.3861 | 6135 | 0.0072 |
1283
+ | 0.0029 | 4.3896 | 6140 | 0.0072 |
1284
+ | 0.0031 | 4.3932 | 6145 | 0.0072 |
1285
+ | 0.0019 | 4.3968 | 6150 | 0.0073 |
1286
+ | 0.0029 | 4.4004 | 6155 | 0.0072 |
1287
+ | 0.0033 | 4.4039 | 6160 | 0.0072 |
1288
+ | 0.0039 | 4.4075 | 6165 | 0.0072 |
1289
+ | 0.0019 | 4.4111 | 6170 | 0.0072 |
1290
+ | 0.0018 | 4.4147 | 6175 | 0.0072 |
1291
+ | 0.0047 | 4.4182 | 6180 | 0.0072 |
1292
+ | 0.0024 | 4.4218 | 6185 | 0.0072 |
1293
+ | 0.0018 | 4.4254 | 6190 | 0.0071 |
1294
+ | 0.0047 | 4.4290 | 6195 | 0.0072 |
1295
+ | 0.0018 | 4.4325 | 6200 | 0.0071 |
1296
+ | 0.0022 | 4.4361 | 6205 | 0.0071 |
1297
+ | 0.0057 | 4.4397 | 6210 | 0.0071 |
1298
+ | 0.0026 | 4.4433 | 6215 | 0.0070 |
1299
+ | 0.0034 | 4.4468 | 6220 | 0.0070 |
1300
+ | 0.0031 | 4.4504 | 6225 | 0.0071 |
1301
+ | 0.003 | 4.4540 | 6230 | 0.0071 |
1302
+ | 0.0023 | 4.4576 | 6235 | 0.0071 |
1303
+ | 0.0045 | 4.4611 | 6240 | 0.0071 |
1304
+ | 0.0048 | 4.4647 | 6245 | 0.0071 |
1305
+ | 0.0037 | 4.4683 | 6250 | 0.0071 |
1306
+ | 0.0061 | 4.4718 | 6255 | 0.0071 |
1307
+ | 0.0041 | 4.4754 | 6260 | 0.0071 |
1308
+ | 0.0044 | 4.4790 | 6265 | 0.0071 |
1309
+ | 0.0032 | 4.4826 | 6270 | 0.0071 |
1310
+ | 0.0039 | 4.4861 | 6275 | 0.0071 |
1311
+ | 0.0061 | 4.4897 | 6280 | 0.0070 |
1312
+ | 0.0022 | 4.4933 | 6285 | 0.0071 |
1313
+ | 0.0045 | 4.4969 | 6290 | 0.0071 |
1314
+ | 0.0022 | 4.5004 | 6295 | 0.0071 |
1315
+ | 0.0029 | 4.5040 | 6300 | 0.0071 |
1316
+ | 0.0027 | 4.5076 | 6305 | 0.0071 |
1317
+ | 0.0018 | 4.5112 | 6310 | 0.0071 |
1318
+ | 0.0025 | 4.5147 | 6315 | 0.0071 |
1319
+ | 0.0028 | 4.5183 | 6320 | 0.0071 |
1320
+ | 0.0035 | 4.5219 | 6325 | 0.0072 |
1321
+ | 0.0039 | 4.5255 | 6330 | 0.0071 |
1322
+ | 0.0029 | 4.5290 | 6335 | 0.0071 |
1323
+ | 0.0017 | 4.5326 | 6340 | 0.0071 |
1324
+ | 0.0047 | 4.5362 | 6345 | 0.0071 |
1325
+ | 0.0027 | 4.5398 | 6350 | 0.0072 |
1326
+ | 0.0038 | 4.5433 | 6355 | 0.0072 |
1327
+ | 0.003 | 4.5469 | 6360 | 0.0072 |
1328
+ | 0.0025 | 4.5505 | 6365 | 0.0072 |
1329
+ | 0.0038 | 4.5541 | 6370 | 0.0071 |
1330
+ | 0.0023 | 4.5576 | 6375 | 0.0071 |
1331
+ | 0.0034 | 4.5612 | 6380 | 0.0071 |
1332
+ | 0.0046 | 4.5648 | 6385 | 0.0071 |
1333
+ | 0.0047 | 4.5684 | 6390 | 0.0071 |
1334
+ | 0.0057 | 4.5719 | 6395 | 0.0071 |
1335
+ | 0.0028 | 4.5755 | 6400 | 0.0071 |
1336
+ | 0.0023 | 4.5791 | 6405 | 0.0071 |
1337
+ | 0.004 | 4.5827 | 6410 | 0.0071 |
1338
+ | 0.0043 | 4.5862 | 6415 | 0.0071 |
1339
+ | 0.0026 | 4.5898 | 6420 | 0.0071 |
1340
+ | 0.0022 | 4.5934 | 6425 | 0.0072 |
1341
+ | 0.0045 | 4.5970 | 6430 | 0.0071 |
1342
+ | 0.0021 | 4.6005 | 6435 | 0.0072 |
1343
+ | 0.0048 | 4.6041 | 6440 | 0.0072 |
1344
+ | 0.0035 | 4.6077 | 6445 | 0.0072 |
1345
+ | 0.004 | 4.6113 | 6450 | 0.0072 |
1346
+ | 0.0022 | 4.6148 | 6455 | 0.0072 |
1347
+ | 0.0014 | 4.6184 | 6460 | 0.0072 |
1348
+ | 0.002 | 4.6220 | 6465 | 0.0072 |
1349
+ | 0.0086 | 4.6256 | 6470 | 0.0072 |
1350
+ | 0.0035 | 4.6291 | 6475 | 0.0072 |
1351
+ | 0.0036 | 4.6327 | 6480 | 0.0072 |
1352
+ | 0.0051 | 4.6363 | 6485 | 0.0072 |
1353
+ | 0.0034 | 4.6399 | 6490 | 0.0071 |
1354
+ | 0.0025 | 4.6434 | 6495 | 0.0072 |
1355
+ | 0.002 | 4.6470 | 6500 | 0.0072 |
1356
+ | 0.0037 | 4.6506 | 6505 | 0.0072 |
1357
+ | 0.0019 | 4.6542 | 6510 | 0.0072 |
1358
+ | 0.0066 | 4.6577 | 6515 | 0.0072 |
1359
+ | 0.0031 | 4.6613 | 6520 | 0.0072 |
1360
+ | 0.0036 | 4.6649 | 6525 | 0.0072 |
1361
+ | 0.0046 | 4.6685 | 6530 | 0.0072 |
1362
+ | 0.0045 | 4.6720 | 6535 | 0.0072 |
1363
+ | 0.0023 | 4.6756 | 6540 | 0.0071 |
1364
+ | 0.0037 | 4.6792 | 6545 | 0.0072 |
1365
+ | 0.003 | 4.6828 | 6550 | 0.0072 |
1366
+ | 0.004 | 4.6863 | 6555 | 0.0071 |
1367
+ | 0.0045 | 4.6899 | 6560 | 0.0071 |
1368
+ | 0.0028 | 4.6935 | 6565 | 0.0071 |
1369
+ | 0.0038 | 4.6971 | 6570 | 0.0072 |
1370
+ | 0.002 | 4.7006 | 6575 | 0.0071 |
1371
+ | 0.004 | 4.7042 | 6580 | 0.0071 |
1372
+ | 0.0026 | 4.7078 | 6585 | 0.0071 |
1373
+ | 0.0021 | 4.7113 | 6590 | 0.0071 |
1374
+ | 0.0028 | 4.7149 | 6595 | 0.0071 |
1375
+ | 0.0018 | 4.7185 | 6600 | 0.0071 |
1376
+ | 0.0018 | 4.7221 | 6605 | 0.0071 |
1377
+ | 0.0051 | 4.7256 | 6610 | 0.0071 |
1378
+ | 0.0043 | 4.7292 | 6615 | 0.0071 |
1379
+ | 0.0045 | 4.7328 | 6620 | 0.0071 |
1380
+ | 0.0029 | 4.7364 | 6625 | 0.0071 |
1381
+ | 0.0038 | 4.7399 | 6630 | 0.0071 |
1382
+ | 0.0035 | 4.7435 | 6635 | 0.0071 |
1383
+ | 0.0019 | 4.7471 | 6640 | 0.0071 |
1384
+ | 0.0028 | 4.7507 | 6645 | 0.0071 |
1385
+ | 0.0017 | 4.7542 | 6650 | 0.0071 |
1386
+ | 0.0047 | 4.7578 | 6655 | 0.0071 |
1387
+ | 0.0031 | 4.7614 | 6660 | 0.0071 |
1388
+ | 0.0024 | 4.7650 | 6665 | 0.0071 |
1389
+ | 0.0041 | 4.7685 | 6670 | 0.0071 |
1390
+ | 0.0036 | 4.7721 | 6675 | 0.0071 |
1391
+ | 0.0046 | 4.7757 | 6680 | 0.0071 |
1392
+ | 0.0027 | 4.7793 | 6685 | 0.0071 |
1393
+ | 0.003 | 4.7828 | 6690 | 0.0071 |
1394
+ | 0.0044 | 4.7864 | 6695 | 0.0071 |
1395
+ | 0.0031 | 4.7900 | 6700 | 0.0071 |
1396
+ | 0.0031 | 4.7936 | 6705 | 0.0071 |
1397
+ | 0.0036 | 4.7971 | 6710 | 0.0071 |
1398
+ | 0.0013 | 4.8007 | 6715 | 0.0071 |
1399
+ | 0.0039 | 4.8043 | 6720 | 0.0071 |
1400
+ | 0.0041 | 4.8079 | 6725 | 0.0071 |
1401
+ | 0.0025 | 4.8114 | 6730 | 0.0071 |
1402
+ | 0.0034 | 4.8150 | 6735 | 0.0071 |
1403
+ | 0.0046 | 4.8186 | 6740 | 0.0071 |
1404
+ | 0.0036 | 4.8222 | 6745 | 0.0071 |
1405
+ | 0.0034 | 4.8257 | 6750 | 0.0071 |
1406
+ | 0.0034 | 4.8293 | 6755 | 0.0071 |
1407
+ | 0.0023 | 4.8329 | 6760 | 0.0071 |
1408
+ | 0.0017 | 4.8365 | 6765 | 0.0071 |
1409
+ | 0.0025 | 4.8400 | 6770 | 0.0071 |
1410
+ | 0.0028 | 4.8436 | 6775 | 0.0071 |
1411
+ | 0.0021 | 4.8472 | 6780 | 0.0071 |
1412
+ | 0.0025 | 4.8508 | 6785 | 0.0071 |
1413
+ | 0.0019 | 4.8543 | 6790 | 0.0071 |
1414
+ | 0.0049 | 4.8579 | 6795 | 0.0071 |
1415
+ | 0.0033 | 4.8615 | 6800 | 0.0071 |
1416
+ | 0.0027 | 4.8651 | 6805 | 0.0071 |
1417
+ | 0.0023 | 4.8686 | 6810 | 0.0071 |
1418
+ | 0.0039 | 4.8722 | 6815 | 0.0071 |
1419
+ | 0.0034 | 4.8758 | 6820 | 0.0071 |
1420
+ | 0.0025 | 4.8794 | 6825 | 0.0071 |
1421
+ | 0.0043 | 4.8829 | 6830 | 0.0071 |
1422
+ | 0.0024 | 4.8865 | 6835 | 0.0071 |
1423
+ | 0.0025 | 4.8901 | 6840 | 0.0071 |
1424
+ | 0.0035 | 4.8937 | 6845 | 0.0071 |
1425
+ | 0.0036 | 4.8972 | 6850 | 0.0071 |
1426
+ | 0.006 | 4.9008 | 6855 | 0.0071 |
1427
+ | 0.0033 | 4.9044 | 6860 | 0.0071 |
1428
+ | 0.0037 | 4.9080 | 6865 | 0.0071 |
1429
+ | 0.0043 | 4.9115 | 6870 | 0.0071 |
1430
+ | 0.003 | 4.9151 | 6875 | 0.0071 |
1431
+ | 0.0023 | 4.9187 | 6880 | 0.0071 |
1432
+ | 0.0047 | 4.9223 | 6885 | 0.0071 |
1433
+ | 0.003 | 4.9258 | 6890 | 0.0071 |
1434
+ | 0.0043 | 4.9294 | 6895 | 0.0071 |
1435
+ | 0.0036 | 4.9330 | 6900 | 0.0071 |
1436
+ | 0.0035 | 4.9366 | 6905 | 0.0071 |
1437
+ | 0.0032 | 4.9401 | 6910 | 0.0071 |
1438
+ | 0.0038 | 4.9437 | 6915 | 0.0071 |
1439
+ | 0.0043 | 4.9473 | 6920 | 0.0071 |
1440
+ | 0.0036 | 4.9508 | 6925 | 0.0071 |
1441
+ | 0.0022 | 4.9544 | 6930 | 0.0071 |
1442
+ | 0.0022 | 4.9580 | 6935 | 0.0071 |
1443
+ | 0.0022 | 4.9616 | 6940 | 0.0071 |
1444
+ | 0.0035 | 4.9651 | 6945 | 0.0071 |
1445
+ | 0.0035 | 4.9687 | 6950 | 0.0071 |
1446
+ | 0.0046 | 4.9723 | 6955 | 0.0071 |
1447
+ | 0.0025 | 4.9759 | 6960 | 0.0071 |
1448
+ | 0.0038 | 4.9794 | 6965 | 0.0071 |
1449
+ | 0.0031 | 4.9830 | 6970 | 0.0071 |
1450
+ | 0.0036 | 4.9866 | 6975 | 0.0071 |
1451
+ | 0.0051 | 4.9902 | 6980 | 0.0071 |
1452
+ | 0.0025 | 4.9937 | 6985 | 0.0071 |
1453
+ | 0.0031 | 4.9973 | 6990 | 0.0071 |
1454
 
1455
 
1456
  ### Framework versions
adapter_config.json CHANGED
@@ -21,12 +21,12 @@
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  ],
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  "task_type": "CAUSAL_LM",
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  "use_dora": false,
 
21
  "revision": null,
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  "target_modules": [
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  "down_proj",
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+ "gate_proj",
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+ "v_proj",
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  "q_proj",
 
 
27
  "up_proj",
28
+ "o_proj",
29
+ "k_proj"
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  ],
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  }
checkpoint-5450/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: unsloth/Llama-3.2-3B-Instruct
3
+ library_name: peft
4
+ ---
5
+
6
+ # Model Card for Model ID
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
9
+
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+
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+
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+ ## Model Details
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+
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+ ### Model Description
15
+
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+ <!-- Provide a longer summary of what this model is. -->
17
+
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+
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+
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+ - **Developed by:** [More Information Needed]
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+ - **Funded by [optional]:** [More Information Needed]
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+ - **Shared by [optional]:** [More Information Needed]
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+ - **Model type:** [More Information Needed]
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+ - **Language(s) (NLP):** [More Information Needed]
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+ - **License:** [More Information Needed]
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+ - **Finetuned from model [optional]:** [More Information Needed]
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+
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+ ### Model Sources [optional]
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+ <!-- Provide the basic links for the model. -->
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+
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+ - **Repository:** [More Information Needed]
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+ - **Paper [optional]:** [More Information Needed]
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+ - **Demo [optional]:** [More Information Needed]
35
+
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+ ## Uses
37
+
38
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
+
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+ ### Direct Use
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+
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+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
+
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+ [More Information Needed]
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+
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+ ### Downstream Use [optional]
47
+
48
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Out-of-Scope Use
53
+
54
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
+
56
+ [More Information Needed]
57
+
58
+ ## Bias, Risks, and Limitations
59
+
60
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
+
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+ [More Information Needed]
63
+
64
+ ### Recommendations
65
+
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+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
+
68
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
+
70
+ ## How to Get Started with the Model
71
+
72
+ Use the code below to get started with the model.
73
+
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+ [More Information Needed]
75
+
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+ ## Training Details
77
+
78
+ ### Training Data
79
+
80
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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+
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+ [More Information Needed]
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+
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+ ### Training Procedure
85
+
86
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
+
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+ #### Preprocessing [optional]
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+
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+ [More Information Needed]
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+
92
+
93
+ #### Training Hyperparameters
94
+
95
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
+
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+ #### Speeds, Sizes, Times [optional]
98
+
99
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
+
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+ [More Information Needed]
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+
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+ ## Evaluation
104
+
105
+ <!-- This section describes the evaluation protocols and provides the results. -->
106
+
107
+ ### Testing Data, Factors & Metrics
108
+
109
+ #### Testing Data
110
+
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+ <!-- This should link to a Dataset Card if possible. -->
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+
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+ [More Information Needed]
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+
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+ #### Factors
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+
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+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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+
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+ [More Information Needed]
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+
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+ #### Metrics
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+
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+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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+
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+ [More Information Needed]
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+
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+ ### Results
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+
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+ [More Information Needed]
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+
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+ #### Summary
132
+
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+
134
+
135
+ ## Model Examination [optional]
136
+
137
+ <!-- Relevant interpretability work for the model goes here -->
138
+
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+ [More Information Needed]
140
+
141
+ ## Environmental Impact
142
+
143
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
+
145
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
146
+
147
+ - **Hardware Type:** [More Information Needed]
148
+ - **Hours used:** [More Information Needed]
149
+ - **Cloud Provider:** [More Information Needed]
150
+ - **Compute Region:** [More Information Needed]
151
+ - **Carbon Emitted:** [More Information Needed]
152
+
153
+ ## Technical Specifications [optional]
154
+
155
+ ### Model Architecture and Objective
156
+
157
+ [More Information Needed]
158
+
159
+ ### Compute Infrastructure
160
+
161
+ [More Information Needed]
162
+
163
+ #### Hardware
164
+
165
+ [More Information Needed]
166
+
167
+ #### Software
168
+
169
+ [More Information Needed]
170
+
171
+ ## Citation [optional]
172
+
173
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
+
175
+ **BibTeX:**
176
+
177
+ [More Information Needed]
178
+
179
+ **APA:**
180
+
181
+ [More Information Needed]
182
+
183
+ ## Glossary [optional]
184
+
185
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
+
187
+ [More Information Needed]
188
+
189
+ ## More Information [optional]
190
+
191
+ [More Information Needed]
192
+
193
+ ## Model Card Authors [optional]
194
+
195
+ [More Information Needed]
196
+
197
+ ## Model Card Contact
198
+
199
+ [More Information Needed]
200
+ ### Framework versions
201
+
202
+ - PEFT 0.12.0
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+ "chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n {%- set tools_in_user_message = true %}\n{%- endif %}\n{%- if not date_string is defined %}\n {%- if strftime_now is defined %}\n {%- set date_string = strftime_now(\"%d %b %Y\") %}\n {%- else %}\n {%- set date_string = \"26 Jul 2024\" %}\n {%- endif %}\n{%- endif %}\n{%- if not tools is defined %}\n {%- set tools = none %}\n{%- endif %}\n\n{#- This block extracts the system message, so we can slot it into the right place. #}\n{%- if messages[0]['role'] == 'system' %}\n {%- set system_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n{%- else %}\n {%- set system_message = \"\" %}\n{%- endif %}\n\n{#- System message #}\n{{- \"<|start_header_id|>system<|end_header_id|>\\n\\n\" }}\n{%- if tools is not none %}\n {{- \"Environment: ipython\\n\" }}\n{%- endif %}\n{{- \"Cutting Knowledge Date: December 2023\\n\" }}\n{{- \"Today Date: \" + date_string + \"\\n\\n\" }}\n{%- if tools is not none and not tools_in_user_message %}\n {{- \"You have access to the following functions. To call a function, please respond with JSON for a function call.\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n{%- endif %}\n{{- system_message }}\n{{- \"<|eot_id|>\" }}\n\n{#- Custom tools are passed in a user message with some extra guidance #}\n{%- if tools_in_user_message and not tools is none %}\n {#- Extract the first user message so we can plug it in here #}\n {%- if messages | length != 0 %}\n {%- set first_user_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n {%- else %}\n {{- raise_exception(\"Cannot put tools in the first user message when there's no first user message!\") }}\n{%- endif %}\n {{- '<|start_header_id|>user<|end_header_id|>\\n\\n' -}}\n {{- \"Given the following functions, please respond with a JSON for a function call \" }}\n {{- \"with its proper arguments that best answers the given prompt.\\n\\n\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n {{- first_user_message + \"<|eot_id|>\"}}\n{%- endif %}\n\n{%- for message in messages %}\n {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}\n {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\\n\\n'+ message['content'] | trim + '<|eot_id|>' }}\n {%- elif 'tool_calls' in message %}\n {%- if not message.tool_calls|length == 1 %}\n {{- raise_exception(\"This model only supports single tool-calls at once!\") }}\n {%- endif %}\n {%- set tool_call = message.tool_calls[0].function %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n {{- '{\"name\": \"' + tool_call.name + '\", ' }}\n {{- '\"parameters\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- \"}\" }}\n {{- \"<|eot_id|>\" }}\n {%- elif message.role == \"tool\" or message.role == \"ipython\" %}\n {{- \"<|start_header_id|>ipython<|end_header_id|>\\n\\n\" }}\n {%- if message.content is mapping or message.content is iterable %}\n {{- message.content | tojson }}\n {%- else %}\n {{- message.content }}\n {%- endif %}\n {{- \"<|eot_id|>\" }}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' }}\n{%- endif %}\n",
2054
+ "clean_up_tokenization_spaces": true,
2055
+ "eos_token": "<|eot_id|>",
2056
+ "model_input_names": [
2057
+ "input_ids",
2058
+ "attention_mask"
2059
+ ],
2060
+ "model_max_length": 131072,
2061
+ "pad_token": "<|eot_id|>",
2062
+ "padding_side": "right",
2063
+ "split_special_tokens": false,
2064
+ "tokenizer_class": "PreTrainedTokenizerFast"
2065
+ }
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