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Browse files- README.md +1399 -130
- adapter_config.json +4 -4
- adapter_model.safetensors +1 -1
- all_results.json +10 -10
- checkpoint-5450/README.md +202 -0
- checkpoint-5450/adapter_config.json +34 -0
- checkpoint-5450/adapter_model.safetensors +3 -0
- checkpoint-5450/optimizer.pt +3 -0
- checkpoint-5450/rng_state.pth +3 -0
- checkpoint-5450/scheduler.pt +3 -0
- checkpoint-5450/special_tokens_map.json +17 -0
- checkpoint-5450/tokenizer.json +3 -0
- checkpoint-5450/tokenizer_config.json +2065 -0
- checkpoint-5450/trainer_state.json +0 -0
- checkpoint-5450/training_args.bin +3 -0
- eval_results.json +5 -5
- train_results.json +6 -6
- trainer_log.jsonl +0 -0
- trainer_state.json +0 -0
- training_args.bin +1 -1
- training_eval_loss.png +0 -0
- training_loss.png +0 -0
README.md
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@@ -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.
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## Model description
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185 |
|
186 |
|
187 |
### 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 |
|
74 |
+
| 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 @@
|
|
21 |
"revision": null,
|
22 |
"target_modules": [
|
23 |
"down_proj",
|
|
|
|
|
24 |
"q_proj",
|
25 |
-
"k_proj",
|
26 |
-
"o_proj",
|
27 |
"up_proj",
|
28 |
-
"
|
29 |
-
"
|
30 |
],
|
31 |
"task_type": "CAUSAL_LM",
|
32 |
"use_dora": false,
|
|
|
21 |
"revision": null,
|
22 |
"target_modules": [
|
23 |
"down_proj",
|
24 |
+
"gate_proj",
|
25 |
+
"v_proj",
|
26 |
"q_proj",
|
|
|
|
|
27 |
"up_proj",
|
28 |
+
"o_proj",
|
29 |
+
"k_proj"
|
30 |
],
|
31 |
"task_type": "CAUSAL_LM",
|
32 |
"use_dora": false,
|
adapter_model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 1556140392
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:05807c760580bdacb34424a9d5fd77283176133ac700117d1017c0ce558c1e6d
|
3 |
size 1556140392
|
all_results.json
CHANGED
@@ -1,12 +1,12 @@
|
|
1 |
{
|
2 |
-
"epoch": 4.
|
3 |
-
"eval_loss": 0.
|
4 |
-
"eval_runtime": 4.
|
5 |
-
"eval_samples_per_second":
|
6 |
-
"eval_steps_per_second": 2.
|
7 |
-
"total_flos":
|
8 |
-
"train_loss": 0.
|
9 |
-
"train_runtime":
|
10 |
-
"train_samples_per_second": 3.
|
11 |
-
"train_steps_per_second": 0.
|
12 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 4.997319034852547,
|
3 |
+
"eval_loss": 0.007015645038336515,
|
4 |
+
"eval_runtime": 4.6504,
|
5 |
+
"eval_samples_per_second": 10.752,
|
6 |
+
"eval_steps_per_second": 2.795,
|
7 |
+
"total_flos": 9.055925074306204e+18,
|
8 |
+
"train_loss": 0.012000293021579306,
|
9 |
+
"train_runtime": 73664.6386,
|
10 |
+
"train_samples_per_second": 3.038,
|
11 |
+
"train_steps_per_second": 0.095
|
12 |
}
|
checkpoint-5450/README.md
ADDED
@@ -0,0 +1,202 @@
|
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|
|
|
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|
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|
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|
|
|
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|
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|
|
|
|
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|
|
|
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|
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|
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|
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|
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|
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|
|
|
|
|
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 |
+
|
10 |
+
|
11 |
+
|
12 |
+
## Model Details
|
13 |
+
|
14 |
+
### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
+
|
19 |
+
|
20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Funded by [optional]:** [More Information Needed]
|
22 |
+
- **Shared by [optional]:** [More Information Needed]
|
23 |
+
- **Model type:** [More Information Needed]
|
24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
25 |
+
- **License:** [More Information Needed]
|
26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
27 |
+
|
28 |
+
### Model Sources [optional]
|
29 |
+
|
30 |
+
<!-- Provide the basic links for the model. -->
|
31 |
+
|
32 |
+
- **Repository:** [More Information Needed]
|
33 |
+
- **Paper [optional]:** [More Information Needed]
|
34 |
+
- **Demo [optional]:** [More Information Needed]
|
35 |
+
|
36 |
+
## 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 |
+
|
40 |
+
### Direct Use
|
41 |
+
|
42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
43 |
+
|
44 |
+
[More Information Needed]
|
45 |
+
|
46 |
+
### 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 |
+
|
62 |
+
[More Information Needed]
|
63 |
+
|
64 |
+
### Recommendations
|
65 |
+
|
66 |
+
<!-- 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 |
+
|
74 |
+
[More Information Needed]
|
75 |
+
|
76 |
+
## 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. -->
|
81 |
+
|
82 |
+
[More Information Needed]
|
83 |
+
|
84 |
+
### 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 |
+
|
88 |
+
#### Preprocessing [optional]
|
89 |
+
|
90 |
+
[More Information Needed]
|
91 |
+
|
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 |
+
|
97 |
+
#### Speeds, Sizes, Times [optional]
|
98 |
+
|
99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
100 |
+
|
101 |
+
[More Information Needed]
|
102 |
+
|
103 |
+
## Evaluation
|
104 |
+
|
105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
106 |
+
|
107 |
+
### Testing Data, Factors & Metrics
|
108 |
+
|
109 |
+
#### Testing Data
|
110 |
+
|
111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
112 |
+
|
113 |
+
[More Information Needed]
|
114 |
+
|
115 |
+
#### Factors
|
116 |
+
|
117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
118 |
+
|
119 |
+
[More Information Needed]
|
120 |
+
|
121 |
+
#### Metrics
|
122 |
+
|
123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
124 |
+
|
125 |
+
[More Information Needed]
|
126 |
+
|
127 |
+
### Results
|
128 |
+
|
129 |
+
[More Information Needed]
|
130 |
+
|
131 |
+
#### Summary
|
132 |
+
|
133 |
+
|
134 |
+
|
135 |
+
## Model Examination [optional]
|
136 |
+
|
137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
138 |
+
|
139 |
+
[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
|
checkpoint-5450/adapter_config.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
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|
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|
|
|
|
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|
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|
|
|
|
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|
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|
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|
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|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "unsloth/Llama-3.2-3B-Instruct",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": false,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layer_replication": null,
|
10 |
+
"layers_pattern": null,
|
11 |
+
"layers_to_transform": null,
|
12 |
+
"loftq_config": {},
|
13 |
+
"lora_alpha": 256,
|
14 |
+
"lora_dropout": 0.0,
|
15 |
+
"megatron_config": null,
|
16 |
+
"megatron_core": "megatron.core",
|
17 |
+
"modules_to_save": null,
|
18 |
+
"peft_type": "LORA",
|
19 |
+
"r": 256,
|
20 |
+
"rank_pattern": {},
|
21 |
+
"revision": null,
|
22 |
+
"target_modules": [
|
23 |
+
"down_proj",
|
24 |
+
"gate_proj",
|
25 |
+
"v_proj",
|
26 |
+
"q_proj",
|
27 |
+
"up_proj",
|
28 |
+
"o_proj",
|
29 |
+
"k_proj"
|
30 |
+
],
|
31 |
+
"task_type": "CAUSAL_LM",
|
32 |
+
"use_dora": false,
|
33 |
+
"use_rslora": false
|
34 |
+
}
|
checkpoint-5450/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:05807c760580bdacb34424a9d5fd77283176133ac700117d1017c0ce558c1e6d
|
3 |
+
size 1556140392
|
checkpoint-5450/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
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|
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|
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|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ae0e0859305d9ba552464d6f73e89f851c25825ce62ebe5ddb18826222dedb52
|
3 |
+
size 3112505578
|
checkpoint-5450/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
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|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
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oid sha256:3ca62a3753dd40a4418a287b8e346ec5ec7b70b7cf350b434e799f247c8eb232
|
3 |
+
size 14308
|
checkpoint-5450/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
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|
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|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
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oid sha256:52c4eaf5f94825ec12b738e96103a8534f43bb59ccffd99be33d6723a76803c4
|
3 |
+
size 1064
|
checkpoint-5450/special_tokens_map.json
ADDED
@@ -0,0 +1,17 @@
|
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|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<|begin_of_text|>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "<|eot_id|>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": "<|eot_id|>"
|
17 |
+
}
|
checkpoint-5450/tokenizer.json
ADDED
@@ -0,0 +1,3 @@
|
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|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:6b9e4e7fb171f92fd137b777cc2714bf87d11576700a1dcd7a399e7bbe39537b
|
3 |
+
size 17209920
|
checkpoint-5450/tokenizer_config.json
ADDED
@@ -0,0 +1,2065 @@
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|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"128000": {
|
4 |
+
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|
5 |
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|
6 |
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|
7 |
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|
8 |
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|
9 |
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|
10 |
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|
11 |
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|
12 |
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|
13 |
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|
14 |
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|
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|
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|
18 |
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|
19 |
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|
20 |
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|
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|
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|
24 |
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|
25 |
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|
26 |
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|
27 |
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|
28 |
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|
29 |
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|
30 |
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|
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|
32 |
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|
33 |
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|
34 |
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|
35 |
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|
36 |
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|
37 |
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|
38 |
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|
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|
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|
41 |
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|
42 |
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|
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|
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|
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|
50 |
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|
52 |
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|
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|
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58 |
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|
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|
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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 |
+
}
|
checkpoint-5450/trainer_state.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-5450/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:770e1b4021cf0e5eb3d0138403b158223a20ecdadc029214ef66acb0184edcb2
|
3 |
+
size 5496
|
eval_results.json
CHANGED
@@ -1,7 +1,7 @@
|
|
1 |
{
|
2 |
-
"epoch": 4.
|
3 |
-
"eval_loss": 0.
|
4 |
-
"eval_runtime": 4.
|
5 |
-
"eval_samples_per_second":
|
6 |
-
"eval_steps_per_second": 2.
|
7 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 4.997319034852547,
|
3 |
+
"eval_loss": 0.007015645038336515,
|
4 |
+
"eval_runtime": 4.6504,
|
5 |
+
"eval_samples_per_second": 10.752,
|
6 |
+
"eval_steps_per_second": 2.795
|
7 |
}
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch": 4.
|
3 |
-
"total_flos":
|
4 |
-
"train_loss": 0.
|
5 |
-
"train_runtime":
|
6 |
-
"train_samples_per_second": 3.
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
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