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- checkpoint-48015/1_Pooling/config.json +10 -0
- checkpoint-48015/README.md +100 -0
- checkpoint-48015/config.json +25 -0
- checkpoint-48015/config_sentence_transformers.json +14 -0
- checkpoint-48015/model.safetensors +3 -0
- checkpoint-48015/modules.json +14 -0
- checkpoint-48015/optimizer.pt +3 -0
- checkpoint-48015/rng_state.pth +3 -0
- checkpoint-48015/scheduler.pt +3 -0
- checkpoint-48015/sentence_bert_config.json +4 -0
- checkpoint-48015/special_tokens_map.json +37 -0
- checkpoint-48015/tokenizer.json +0 -0
- checkpoint-48015/tokenizer_config.json +58 -0
- checkpoint-48015/trainer_state.json +0 -0
- checkpoint-48015/training_args.bin +3 -0
- checkpoint-48015/vocab.txt +0 -0
- model.safetensors +1 -1
- model_head.pkl +2 -2
README.md
CHANGED
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@@ -97,7 +97,7 @@ preds = model("// quotes are removed | ScannerUtility.java")
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| 97 |
### Training Set Metrics
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| Training set | Min | Median | Max |
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| 99 |
|:-------------|:----|:--------|:----|
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| 100 |
-
| Word count |
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### Training Hyperparameters
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| 103 |
- batch_size: (32, 32)
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@@ -121,684 +121,967 @@ preds = model("// quotes are removed | ScannerUtility.java")
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### Training Results
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| Epoch | Step | Training Loss | Validation Loss |
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|:------:|:-----:|:-------------:|:---------------:|
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| 802 |
|
| 803 |
### Framework Versions
|
| 804 |
- Python: 3.10.8
|
|
|
|
| 97 |
### Training Set Metrics
|
| 98 |
| Training set | Min | Median | Max |
|
| 99 |
|:-------------|:----|:--------|:----|
|
| 100 |
+
| Word count | 2 | 14.6312 | 311 |
|
| 101 |
|
| 102 |
### Training Hyperparameters
|
| 103 |
- batch_size: (32, 32)
|
|
|
|
| 121 |
### Training Results
|
| 122 |
| Epoch | Step | Training Loss | Validation Loss |
|
| 123 |
|:------:|:-----:|:-------------:|:---------------:|
|
| 124 |
+
| 0.0001 | 1 | 0.2883 | - |
|
| 125 |
+
| 0.0052 | 50 | 0.2973 | - |
|
| 126 |
+
| 0.0104 | 100 | 0.2757 | - |
|
| 127 |
+
| 0.0156 | 150 | 0.2678 | - |
|
| 128 |
+
| 0.0208 | 200 | 0.2554 | - |
|
| 129 |
+
| 0.0260 | 250 | 0.2485 | - |
|
| 130 |
+
| 0.0312 | 300 | 0.2472 | - |
|
| 131 |
+
| 0.0364 | 350 | 0.2309 | - |
|
| 132 |
+
| 0.0417 | 400 | 0.225 | - |
|
| 133 |
+
| 0.0469 | 450 | 0.2123 | - |
|
| 134 |
+
| 0.0521 | 500 | 0.2045 | - |
|
| 135 |
+
| 0.0573 | 550 | 0.1934 | - |
|
| 136 |
+
| 0.0625 | 600 | 0.184 | - |
|
| 137 |
+
| 0.0677 | 650 | 0.183 | - |
|
| 138 |
+
| 0.0729 | 700 | 0.171 | - |
|
| 139 |
+
| 0.0781 | 750 | 0.1752 | - |
|
| 140 |
+
| 0.0833 | 800 | 0.1627 | - |
|
| 141 |
+
| 0.0885 | 850 | 0.1623 | - |
|
| 142 |
+
| 0.0937 | 900 | 0.1557 | - |
|
| 143 |
+
| 0.0989 | 950 | 0.151 | - |
|
| 144 |
+
| 0.1041 | 1000 | 0.1424 | - |
|
| 145 |
+
| 0.1093 | 1050 | 0.1347 | - |
|
| 146 |
+
| 0.1145 | 1100 | 0.1342 | - |
|
| 147 |
+
| 0.1198 | 1150 | 0.1282 | - |
|
| 148 |
+
| 0.1250 | 1200 | 0.1309 | - |
|
| 149 |
+
| 0.1302 | 1250 | 0.1198 | - |
|
| 150 |
+
| 0.1354 | 1300 | 0.1182 | - |
|
| 151 |
+
| 0.1406 | 1350 | 0.1099 | - |
|
| 152 |
+
| 0.1458 | 1400 | 0.1019 | - |
|
| 153 |
+
| 0.1510 | 1450 | 0.0982 | - |
|
| 154 |
+
| 0.1562 | 1500 | 0.1038 | - |
|
| 155 |
+
| 0.1614 | 1550 | 0.1064 | - |
|
| 156 |
+
| 0.1666 | 1600 | 0.1007 | - |
|
| 157 |
+
| 0.1718 | 1650 | 0.0899 | - |
|
| 158 |
+
| 0.1770 | 1700 | 0.1019 | - |
|
| 159 |
+
| 0.1822 | 1750 | 0.0954 | - |
|
| 160 |
+
| 0.1874 | 1800 | 0.0799 | - |
|
| 161 |
+
| 0.1926 | 1850 | 0.0864 | - |
|
| 162 |
+
| 0.1979 | 1900 | 0.0863 | - |
|
| 163 |
+
| 0.2031 | 1950 | 0.0823 | - |
|
| 164 |
+
| 0.2083 | 2000 | 0.083 | - |
|
| 165 |
+
| 0.2135 | 2050 | 0.0887 | - |
|
| 166 |
+
| 0.2187 | 2100 | 0.0796 | - |
|
| 167 |
+
| 0.2239 | 2150 | 0.0827 | - |
|
| 168 |
+
| 0.2291 | 2200 | 0.0745 | - |
|
| 169 |
+
| 0.2343 | 2250 | 0.0752 | - |
|
| 170 |
+
| 0.2395 | 2300 | 0.0676 | - |
|
| 171 |
+
| 0.2447 | 2350 | 0.0616 | - |
|
| 172 |
+
| 0.2499 | 2400 | 0.0661 | - |
|
| 173 |
+
| 0.2551 | 2450 | 0.0587 | - |
|
| 174 |
+
| 0.2603 | 2500 | 0.0576 | - |
|
| 175 |
+
| 0.2655 | 2550 | 0.0548 | - |
|
| 176 |
+
| 0.2707 | 2600 | 0.0549 | - |
|
| 177 |
+
| 0.2760 | 2650 | 0.0542 | - |
|
| 178 |
+
| 0.2812 | 2700 | 0.0551 | - |
|
| 179 |
+
| 0.2864 | 2750 | 0.0535 | - |
|
| 180 |
+
| 0.2916 | 2800 | 0.0512 | - |
|
| 181 |
+
| 0.2968 | 2850 | 0.0471 | - |
|
| 182 |
+
| 0.3020 | 2900 | 0.0418 | - |
|
| 183 |
+
| 0.3072 | 2950 | 0.0456 | - |
|
| 184 |
+
| 0.3124 | 3000 | 0.0426 | - |
|
| 185 |
+
| 0.3176 | 3050 | 0.0381 | - |
|
| 186 |
+
| 0.3228 | 3100 | 0.0476 | - |
|
| 187 |
+
| 0.3280 | 3150 | 0.0384 | - |
|
| 188 |
+
| 0.3332 | 3200 | 0.0398 | - |
|
| 189 |
+
| 0.3384 | 3250 | 0.0383 | - |
|
| 190 |
+
| 0.3436 | 3300 | 0.0355 | - |
|
| 191 |
+
| 0.3488 | 3350 | 0.0391 | - |
|
| 192 |
+
| 0.3541 | 3400 | 0.0376 | - |
|
| 193 |
+
| 0.3593 | 3450 | 0.0372 | - |
|
| 194 |
+
| 0.3645 | 3500 | 0.0354 | - |
|
| 195 |
+
| 0.3697 | 3550 | 0.0292 | - |
|
| 196 |
+
| 0.3749 | 3600 | 0.0341 | - |
|
| 197 |
+
| 0.3801 | 3650 | 0.032 | - |
|
| 198 |
+
| 0.3853 | 3700 | 0.0312 | - |
|
| 199 |
+
| 0.3905 | 3750 | 0.0286 | - |
|
| 200 |
+
| 0.3957 | 3800 | 0.0303 | - |
|
| 201 |
+
| 0.4009 | 3850 | 0.0321 | - |
|
| 202 |
+
| 0.4061 | 3900 | 0.0291 | - |
|
| 203 |
+
| 0.4113 | 3950 | 0.0267 | - |
|
| 204 |
+
| 0.4165 | 4000 | 0.0315 | - |
|
| 205 |
+
| 0.4217 | 4050 | 0.026 | - |
|
| 206 |
+
| 0.4269 | 4100 | 0.0222 | - |
|
| 207 |
+
| 0.4322 | 4150 | 0.0226 | - |
|
| 208 |
+
| 0.4374 | 4200 | 0.025 | - |
|
| 209 |
+
| 0.4426 | 4250 | 0.0258 | - |
|
| 210 |
+
| 0.4478 | 4300 | 0.0227 | - |
|
| 211 |
+
| 0.4530 | 4350 | 0.025 | - |
|
| 212 |
+
| 0.4582 | 4400 | 0.0192 | - |
|
| 213 |
+
| 0.4634 | 4450 | 0.0214 | - |
|
| 214 |
+
| 0.4686 | 4500 | 0.0232 | - |
|
| 215 |
+
| 0.4738 | 4550 | 0.0201 | - |
|
| 216 |
+
| 0.4790 | 4600 | 0.0234 | - |
|
| 217 |
+
| 0.4842 | 4650 | 0.0206 | - |
|
| 218 |
+
| 0.4894 | 4700 | 0.0228 | - |
|
| 219 |
+
| 0.4946 | 4750 | 0.0194 | - |
|
| 220 |
+
| 0.4998 | 4800 | 0.0197 | - |
|
| 221 |
+
| 0.5051 | 4850 | 0.0167 | - |
|
| 222 |
+
| 0.5103 | 4900 | 0.0244 | - |
|
| 223 |
+
| 0.5155 | 4950 | 0.0152 | - |
|
| 224 |
+
| 0.5207 | 5000 | 0.0191 | - |
|
| 225 |
+
| 0.5259 | 5050 | 0.0174 | - |
|
| 226 |
+
| 0.5311 | 5100 | 0.0242 | - |
|
| 227 |
+
| 0.5363 | 5150 | 0.0202 | - |
|
| 228 |
+
| 0.5415 | 5200 | 0.0186 | - |
|
| 229 |
+
| 0.5467 | 5250 | 0.0172 | - |
|
| 230 |
+
| 0.5519 | 5300 | 0.0208 | - |
|
| 231 |
+
| 0.5571 | 5350 | 0.0185 | - |
|
| 232 |
+
| 0.5623 | 5400 | 0.0177 | - |
|
| 233 |
+
| 0.5675 | 5450 | 0.0169 | - |
|
| 234 |
+
| 0.5727 | 5500 | 0.0186 | - |
|
| 235 |
+
| 0.5779 | 5550 | 0.014 | - |
|
| 236 |
+
| 0.5832 | 5600 | 0.0166 | - |
|
| 237 |
+
| 0.5884 | 5650 | 0.0129 | - |
|
| 238 |
+
| 0.5936 | 5700 | 0.0114 | - |
|
| 239 |
+
| 0.5988 | 5750 | 0.0152 | - |
|
| 240 |
+
| 0.6040 | 5800 | 0.0134 | - |
|
| 241 |
+
| 0.6092 | 5850 | 0.0156 | - |
|
| 242 |
+
| 0.6144 | 5900 | 0.0144 | - |
|
| 243 |
+
| 0.6196 | 5950 | 0.0128 | - |
|
| 244 |
+
| 0.6248 | 6000 | 0.0141 | - |
|
| 245 |
+
| 0.6300 | 6050 | 0.0129 | - |
|
| 246 |
+
| 0.6352 | 6100 | 0.0128 | - |
|
| 247 |
+
| 0.6404 | 6150 | 0.0131 | - |
|
| 248 |
+
| 0.6456 | 6200 | 0.0133 | - |
|
| 249 |
+
| 0.6508 | 6250 | 0.012 | - |
|
| 250 |
+
| 0.6560 | 6300 | 0.0131 | - |
|
| 251 |
+
| 0.6613 | 6350 | 0.0124 | - |
|
| 252 |
+
| 0.6665 | 6400 | 0.0138 | - |
|
| 253 |
+
| 0.6717 | 6450 | 0.0141 | - |
|
| 254 |
+
| 0.6769 | 6500 | 0.0106 | - |
|
| 255 |
+
| 0.6821 | 6550 | 0.0125 | - |
|
| 256 |
+
| 0.6873 | 6600 | 0.0132 | - |
|
| 257 |
+
| 0.6925 | 6650 | 0.0143 | - |
|
| 258 |
+
| 0.6977 | 6700 | 0.0127 | - |
|
| 259 |
+
| 0.7029 | 6750 | 0.014 | - |
|
| 260 |
+
| 0.7081 | 6800 | 0.0118 | - |
|
| 261 |
+
| 0.7133 | 6850 | 0.0116 | - |
|
| 262 |
+
| 0.7185 | 6900 | 0.0101 | - |
|
| 263 |
+
| 0.7237 | 6950 | 0.0119 | - |
|
| 264 |
+
| 0.7289 | 7000 | 0.0095 | - |
|
| 265 |
+
| 0.7341 | 7050 | 0.009 | - |
|
| 266 |
+
| 0.7394 | 7100 | 0.0086 | - |
|
| 267 |
+
| 0.7446 | 7150 | 0.0083 | - |
|
| 268 |
+
| 0.7498 | 7200 | 0.0144 | - |
|
| 269 |
+
| 0.7550 | 7250 | 0.0107 | - |
|
| 270 |
+
| 0.7602 | 7300 | 0.0088 | - |
|
| 271 |
+
| 0.7654 | 7350 | 0.0096 | - |
|
| 272 |
+
| 0.7706 | 7400 | 0.0073 | - |
|
| 273 |
+
| 0.7758 | 7450 | 0.0063 | - |
|
| 274 |
+
| 0.7810 | 7500 | 0.0096 | - |
|
| 275 |
+
| 0.7862 | 7550 | 0.0091 | - |
|
| 276 |
+
| 0.7914 | 7600 | 0.01 | - |
|
| 277 |
+
| 0.7966 | 7650 | 0.0093 | - |
|
| 278 |
+
| 0.8018 | 7700 | 0.0121 | - |
|
| 279 |
+
| 0.8070 | 7750 | 0.014 | - |
|
| 280 |
+
| 0.8122 | 7800 | 0.0078 | - |
|
| 281 |
+
| 0.8175 | 7850 | 0.0082 | - |
|
| 282 |
+
| 0.8227 | 7900 | 0.0086 | - |
|
| 283 |
+
| 0.8279 | 7950 | 0.0066 | - |
|
| 284 |
+
| 0.8331 | 8000 | 0.0112 | - |
|
| 285 |
+
| 0.8383 | 8050 | 0.0073 | - |
|
| 286 |
+
| 0.8435 | 8100 | 0.0078 | - |
|
| 287 |
+
| 0.8487 | 8150 | 0.0087 | - |
|
| 288 |
+
| 0.8539 | 8200 | 0.012 | - |
|
| 289 |
+
| 0.8591 | 8250 | 0.0088 | - |
|
| 290 |
+
| 0.8643 | 8300 | 0.0122 | - |
|
| 291 |
+
| 0.8695 | 8350 | 0.0091 | - |
|
| 292 |
+
| 0.8747 | 8400 | 0.01 | - |
|
| 293 |
+
| 0.8799 | 8450 | 0.0095 | - |
|
| 294 |
+
| 0.8851 | 8500 | 0.0051 | - |
|
| 295 |
+
| 0.8903 | 8550 | 0.0109 | - |
|
| 296 |
+
| 0.8956 | 8600 | 0.0074 | - |
|
| 297 |
+
| 0.9008 | 8650 | 0.0048 | - |
|
| 298 |
+
| 0.9060 | 8700 | 0.0089 | - |
|
| 299 |
+
| 0.9112 | 8750 | 0.0087 | - |
|
| 300 |
+
| 0.9164 | 8800 | 0.0096 | - |
|
| 301 |
+
| 0.9216 | 8850 | 0.0085 | - |
|
| 302 |
+
| 0.9268 | 8900 | 0.0083 | - |
|
| 303 |
+
| 0.9320 | 8950 | 0.009 | - |
|
| 304 |
+
| 0.9372 | 9000 | 0.0078 | - |
|
| 305 |
+
| 0.9424 | 9050 | 0.0096 | - |
|
| 306 |
+
| 0.9476 | 9100 | 0.0084 | - |
|
| 307 |
+
| 0.9528 | 9150 | 0.0073 | - |
|
| 308 |
+
| 0.9580 | 9200 | 0.0055 | - |
|
| 309 |
+
| 0.9632 | 9250 | 0.0059 | - |
|
| 310 |
+
| 0.9684 | 9300 | 0.008 | - |
|
| 311 |
+
| 0.9737 | 9350 | 0.0112 | - |
|
| 312 |
+
| 0.9789 | 9400 | 0.0045 | - |
|
| 313 |
+
| 0.9841 | 9450 | 0.0086 | - |
|
| 314 |
+
| 0.9893 | 9500 | 0.0049 | - |
|
| 315 |
+
| 0.9945 | 9550 | 0.0056 | - |
|
| 316 |
+
| 0.9997 | 9600 | 0.0067 | - |
|
| 317 |
+
| 1.0049 | 9650 | 0.0058 | - |
|
| 318 |
+
| 1.0101 | 9700 | 0.0132 | - |
|
| 319 |
+
| 1.0153 | 9750 | 0.0076 | - |
|
| 320 |
+
| 1.0205 | 9800 | 0.0069 | - |
|
| 321 |
+
| 1.0257 | 9850 | 0.0072 | - |
|
| 322 |
+
| 1.0309 | 9900 | 0.0092 | - |
|
| 323 |
+
| 1.0361 | 9950 | 0.0077 | - |
|
| 324 |
+
| 1.0413 | 10000 | 0.0073 | - |
|
| 325 |
+
| 1.0465 | 10050 | 0.0071 | - |
|
| 326 |
+
| 1.0518 | 10100 | 0.0082 | - |
|
| 327 |
+
| 1.0570 | 10150 | 0.0046 | - |
|
| 328 |
+
| 1.0622 | 10200 | 0.0053 | - |
|
| 329 |
+
| 1.0674 | 10250 | 0.0044 | - |
|
| 330 |
+
| 1.0726 | 10300 | 0.0043 | - |
|
| 331 |
+
| 1.0778 | 10350 | 0.0052 | - |
|
| 332 |
+
| 1.0830 | 10400 | 0.004 | - |
|
| 333 |
+
| 1.0882 | 10450 | 0.0082 | - |
|
| 334 |
+
| 1.0934 | 10500 | 0.006 | - |
|
| 335 |
+
| 1.0986 | 10550 | 0.0063 | - |
|
| 336 |
+
| 1.1038 | 10600 | 0.0038 | - |
|
| 337 |
+
| 1.1090 | 10650 | 0.0049 | - |
|
| 338 |
+
| 1.1142 | 10700 | 0.0062 | - |
|
| 339 |
+
| 1.1194 | 10750 | 0.0084 | - |
|
| 340 |
+
| 1.1246 | 10800 | 0.0057 | - |
|
| 341 |
+
| 1.1299 | 10850 | 0.0074 | - |
|
| 342 |
+
| 1.1351 | 10900 | 0.0056 | - |
|
| 343 |
+
| 1.1403 | 10950 | 0.0078 | - |
|
| 344 |
+
| 1.1455 | 11000 | 0.0059 | - |
|
| 345 |
+
| 1.1507 | 11050 | 0.0062 | - |
|
| 346 |
+
| 1.1559 | 11100 | 0.0054 | - |
|
| 347 |
+
| 1.1611 | 11150 | 0.006 | - |
|
| 348 |
+
| 1.1663 | 11200 | 0.0077 | - |
|
| 349 |
+
| 1.1715 | 11250 | 0.005 | - |
|
| 350 |
+
| 1.1767 | 11300 | 0.0061 | - |
|
| 351 |
+
| 1.1819 | 11350 | 0.0043 | - |
|
| 352 |
+
| 1.1871 | 11400 | 0.0061 | - |
|
| 353 |
+
| 1.1923 | 11450 | 0.0054 | - |
|
| 354 |
+
| 1.1975 | 11500 | 0.0046 | - |
|
| 355 |
+
| 1.2027 | 11550 | 0.0054 | - |
|
| 356 |
+
| 1.2080 | 11600 | 0.0039 | - |
|
| 357 |
+
| 1.2132 | 11650 | 0.0076 | - |
|
| 358 |
+
| 1.2184 | 11700 | 0.0064 | - |
|
| 359 |
+
| 1.2236 | 11750 | 0.0068 | - |
|
| 360 |
+
| 1.2288 | 11800 | 0.0038 | - |
|
| 361 |
+
| 1.2340 | 11850 | 0.0053 | - |
|
| 362 |
+
| 1.2392 | 11900 | 0.0074 | - |
|
| 363 |
+
| 1.2444 | 11950 | 0.0083 | - |
|
| 364 |
+
| 1.2496 | 12000 | 0.0053 | - |
|
| 365 |
+
| 1.2548 | 12050 | 0.004 | - |
|
| 366 |
+
| 1.2600 | 12100 | 0.0052 | - |
|
| 367 |
+
| 1.2652 | 12150 | 0.0079 | - |
|
| 368 |
+
| 1.2704 | 12200 | 0.004 | - |
|
| 369 |
+
| 1.2756 | 12250 | 0.004 | - |
|
| 370 |
+
| 1.2808 | 12300 | 0.0063 | - |
|
| 371 |
+
| 1.2861 | 12350 | 0.0024 | - |
|
| 372 |
+
| 1.2913 | 12400 | 0.0065 | - |
|
| 373 |
+
| 1.2965 | 12450 | 0.0068 | - |
|
| 374 |
+
| 1.3017 | 12500 | 0.0046 | - |
|
| 375 |
+
| 1.3069 | 12550 | 0.0026 | - |
|
| 376 |
+
| 1.3121 | 12600 | 0.0036 | - |
|
| 377 |
+
| 1.3173 | 12650 | 0.0058 | - |
|
| 378 |
+
| 1.3225 | 12700 | 0.0029 | - |
|
| 379 |
+
| 1.3277 | 12750 | 0.006 | - |
|
| 380 |
+
| 1.3329 | 12800 | 0.0052 | - |
|
| 381 |
+
| 1.3381 | 12850 | 0.004 | - |
|
| 382 |
+
| 1.3433 | 12900 | 0.0031 | - |
|
| 383 |
+
| 1.3485 | 12950 | 0.005 | - |
|
| 384 |
+
| 1.3537 | 13000 | 0.0079 | - |
|
| 385 |
+
| 1.3590 | 13050 | 0.0058 | - |
|
| 386 |
+
| 1.3642 | 13100 | 0.0037 | - |
|
| 387 |
+
| 1.3694 | 13150 | 0.005 | - |
|
| 388 |
+
| 1.3746 | 13200 | 0.0018 | - |
|
| 389 |
+
| 1.3798 | 13250 | 0.0027 | - |
|
| 390 |
+
| 1.3850 | 13300 | 0.004 | - |
|
| 391 |
+
| 1.3902 | 13350 | 0.0042 | - |
|
| 392 |
+
| 1.3954 | 13400 | 0.0046 | - |
|
| 393 |
+
| 1.4006 | 13450 | 0.0047 | - |
|
| 394 |
+
| 1.4058 | 13500 | 0.005 | - |
|
| 395 |
+
| 1.4110 | 13550 | 0.0047 | - |
|
| 396 |
+
| 1.4162 | 13600 | 0.0052 | - |
|
| 397 |
+
| 1.4214 | 13650 | 0.0044 | - |
|
| 398 |
+
| 1.4266 | 13700 | 0.0043 | - |
|
| 399 |
+
| 1.4318 | 13750 | 0.0065 | - |
|
| 400 |
+
| 1.4371 | 13800 | 0.0031 | - |
|
| 401 |
+
| 1.4423 | 13850 | 0.0036 | - |
|
| 402 |
+
| 1.4475 | 13900 | 0.003 | - |
|
| 403 |
+
| 1.4527 | 13950 | 0.006 | - |
|
| 404 |
+
| 1.4579 | 14000 | 0.0023 | - |
|
| 405 |
+
| 1.4631 | 14050 | 0.0032 | - |
|
| 406 |
+
| 1.4683 | 14100 | 0.003 | - |
|
| 407 |
+
| 1.4735 | 14150 | 0.0032 | - |
|
| 408 |
+
| 1.4787 | 14200 | 0.0046 | - |
|
| 409 |
+
| 1.4839 | 14250 | 0.0054 | - |
|
| 410 |
+
| 1.4891 | 14300 | 0.0054 | - |
|
| 411 |
+
| 1.4943 | 14350 | 0.0029 | - |
|
| 412 |
+
| 1.4995 | 14400 | 0.0031 | - |
|
| 413 |
+
| 1.5047 | 14450 | 0.0034 | - |
|
| 414 |
+
| 1.5099 | 14500 | 0.0025 | - |
|
| 415 |
+
| 1.5152 | 14550 | 0.0058 | - |
|
| 416 |
+
| 1.5204 | 14600 | 0.0043 | - |
|
| 417 |
+
| 1.5256 | 14650 | 0.0018 | - |
|
| 418 |
+
| 1.5308 | 14700 | 0.0061 | - |
|
| 419 |
+
| 1.5360 | 14750 | 0.0028 | - |
|
| 420 |
+
| 1.5412 | 14800 | 0.0059 | - |
|
| 421 |
+
| 1.5464 | 14850 | 0.0026 | - |
|
| 422 |
+
| 1.5516 | 14900 | 0.0041 | - |
|
| 423 |
+
| 1.5568 | 14950 | 0.0044 | - |
|
| 424 |
+
| 1.5620 | 15000 | 0.003 | - |
|
| 425 |
+
| 1.5672 | 15050 | 0.0014 | - |
|
| 426 |
+
| 1.5724 | 15100 | 0.0059 | - |
|
| 427 |
+
| 1.5776 | 15150 | 0.0024 | - |
|
| 428 |
+
| 1.5828 | 15200 | 0.0055 | - |
|
| 429 |
+
| 1.5880 | 15250 | 0.0052 | - |
|
| 430 |
+
| 1.5933 | 15300 | 0.002 | - |
|
| 431 |
+
| 1.5985 | 15350 | 0.004 | - |
|
| 432 |
+
| 1.6037 | 15400 | 0.0023 | - |
|
| 433 |
+
| 1.6089 | 15450 | 0.0023 | - |
|
| 434 |
+
| 1.6141 | 15500 | 0.003 | - |
|
| 435 |
+
| 1.6193 | 15550 | 0.0027 | - |
|
| 436 |
+
| 1.6245 | 15600 | 0.0023 | - |
|
| 437 |
+
| 1.6297 | 15650 | 0.0044 | - |
|
| 438 |
+
| 1.6349 | 15700 | 0.0074 | - |
|
| 439 |
+
| 1.6401 | 15750 | 0.0029 | - |
|
| 440 |
+
| 1.6453 | 15800 | 0.0014 | - |
|
| 441 |
+
| 1.6505 | 15850 | 0.0018 | - |
|
| 442 |
+
| 1.6557 | 15900 | 0.004 | - |
|
| 443 |
+
| 1.6609 | 15950 | 0.0044 | - |
|
| 444 |
+
| 1.6661 | 16000 | 0.0024 | - |
|
| 445 |
+
| 1.6714 | 16050 | 0.0031 | - |
|
| 446 |
+
| 1.6766 | 16100 | 0.0018 | - |
|
| 447 |
+
| 1.6818 | 16150 | 0.0029 | - |
|
| 448 |
+
| 1.6870 | 16200 | 0.004 | - |
|
| 449 |
+
| 1.6922 | 16250 | 0.0028 | - |
|
| 450 |
+
| 1.6974 | 16300 | 0.0019 | - |
|
| 451 |
+
| 1.7026 | 16350 | 0.0021 | - |
|
| 452 |
+
| 1.7078 | 16400 | 0.0029 | - |
|
| 453 |
+
| 1.7130 | 16450 | 0.0014 | - |
|
| 454 |
+
| 1.7182 | 16500 | 0.0025 | - |
|
| 455 |
+
| 1.7234 | 16550 | 0.0034 | - |
|
| 456 |
+
| 1.7286 | 16600 | 0.0028 | - |
|
| 457 |
+
| 1.7338 | 16650 | 0.0017 | - |
|
| 458 |
+
| 1.7390 | 16700 | 0.0045 | - |
|
| 459 |
+
| 1.7442 | 16750 | 0.0025 | - |
|
| 460 |
+
| 1.7495 | 16800 | 0.003 | - |
|
| 461 |
+
| 1.7547 | 16850 | 0.003 | - |
|
| 462 |
+
| 1.7599 | 16900 | 0.0025 | - |
|
| 463 |
+
| 1.7651 | 16950 | 0.0016 | - |
|
| 464 |
+
| 1.7703 | 17000 | 0.0015 | - |
|
| 465 |
+
| 1.7755 | 17050 | 0.0035 | - |
|
| 466 |
+
| 1.7807 | 17100 | 0.0014 | - |
|
| 467 |
+
| 1.7859 | 17150 | 0.003 | - |
|
| 468 |
+
| 1.7911 | 17200 | 0.0065 | - |
|
| 469 |
+
| 1.7963 | 17250 | 0.003 | - |
|
| 470 |
+
| 1.8015 | 17300 | 0.003 | - |
|
| 471 |
+
| 1.8067 | 17350 | 0.0062 | - |
|
| 472 |
+
| 1.8119 | 17400 | 0.0037 | - |
|
| 473 |
+
| 1.8171 | 17450 | 0.0047 | - |
|
| 474 |
+
| 1.8223 | 17500 | 0.0023 | - |
|
| 475 |
+
| 1.8276 | 17550 | 0.0037 | - |
|
| 476 |
+
| 1.8328 | 17600 | 0.0027 | - |
|
| 477 |
+
| 1.8380 | 17650 | 0.0034 | - |
|
| 478 |
+
| 1.8432 | 17700 | 0.0015 | - |
|
| 479 |
+
| 1.8484 | 17750 | 0.0012 | - |
|
| 480 |
+
| 1.8536 | 17800 | 0.0024 | - |
|
| 481 |
+
| 1.8588 | 17850 | 0.0019 | - |
|
| 482 |
+
| 1.8640 | 17900 | 0.004 | - |
|
| 483 |
+
| 1.8692 | 17950 | 0.0047 | - |
|
| 484 |
+
| 1.8744 | 18000 | 0.0031 | - |
|
| 485 |
+
| 1.8796 | 18050 | 0.0028 | - |
|
| 486 |
+
| 1.8848 | 18100 | 0.0027 | - |
|
| 487 |
+
| 1.8900 | 18150 | 0.0038 | - |
|
| 488 |
+
| 1.8952 | 18200 | 0.0034 | - |
|
| 489 |
+
| 1.9004 | 18250 | 0.0024 | - |
|
| 490 |
+
| 1.9057 | 18300 | 0.0033 | - |
|
| 491 |
+
| 1.9109 | 18350 | 0.0022 | - |
|
| 492 |
+
| 1.9161 | 18400 | 0.0015 | - |
|
| 493 |
+
| 1.9213 | 18450 | 0.0008 | - |
|
| 494 |
+
| 1.9265 | 18500 | 0.0011 | - |
|
| 495 |
+
| 1.9317 | 18550 | 0.0011 | - |
|
| 496 |
+
| 1.9369 | 18600 | 0.0035 | - |
|
| 497 |
+
| 1.9421 | 18650 | 0.0018 | - |
|
| 498 |
+
| 1.9473 | 18700 | 0.0029 | - |
|
| 499 |
+
| 1.9525 | 18750 | 0.0033 | - |
|
| 500 |
+
| 1.9577 | 18800 | 0.0007 | - |
|
| 501 |
+
| 1.9629 | 18850 | 0.0019 | - |
|
| 502 |
+
| 1.9681 | 18900 | 0.0044 | - |
|
| 503 |
+
| 1.9733 | 18950 | 0.0011 | - |
|
| 504 |
+
| 1.9785 | 19000 | 0.0037 | - |
|
| 505 |
+
| 1.9838 | 19050 | 0.0003 | - |
|
| 506 |
+
| 1.9890 | 19100 | 0.002 | - |
|
| 507 |
+
| 1.9942 | 19150 | 0.0024 | - |
|
| 508 |
+
| 1.9994 | 19200 | 0.0022 | - |
|
| 509 |
+
| 2.0046 | 19250 | 0.0017 | - |
|
| 510 |
+
| 2.0098 | 19300 | 0.0013 | - |
|
| 511 |
+
| 2.0150 | 19350 | 0.0028 | - |
|
| 512 |
+
| 2.0202 | 19400 | 0.001 | - |
|
| 513 |
+
| 2.0254 | 19450 | 0.0024 | - |
|
| 514 |
+
| 2.0306 | 19500 | 0.0012 | - |
|
| 515 |
+
| 2.0358 | 19550 | 0.0023 | - |
|
| 516 |
+
| 2.0410 | 19600 | 0.002 | - |
|
| 517 |
+
| 2.0462 | 19650 | 0.0031 | - |
|
| 518 |
+
| 2.0514 | 19700 | 0.0017 | - |
|
| 519 |
+
| 2.0566 | 19750 | 0.0014 | - |
|
| 520 |
+
| 2.0619 | 19800 | 0.0015 | - |
|
| 521 |
+
| 2.0671 | 19850 | 0.0021 | - |
|
| 522 |
+
| 2.0723 | 19900 | 0.0021 | - |
|
| 523 |
+
| 2.0775 | 19950 | 0.0032 | - |
|
| 524 |
+
| 2.0827 | 20000 | 0.0017 | - |
|
| 525 |
+
| 2.0879 | 20050 | 0.0009 | - |
|
| 526 |
+
| 2.0931 | 20100 | 0.0016 | - |
|
| 527 |
+
| 2.0983 | 20150 | 0.0018 | - |
|
| 528 |
+
| 2.1035 | 20200 | 0.0057 | - |
|
| 529 |
+
| 2.1087 | 20250 | 0.0014 | - |
|
| 530 |
+
| 2.1139 | 20300 | 0.0022 | - |
|
| 531 |
+
| 2.1191 | 20350 | 0.0037 | - |
|
| 532 |
+
| 2.1243 | 20400 | 0.0011 | - |
|
| 533 |
+
| 2.1295 | 20450 | 0.0016 | - |
|
| 534 |
+
| 2.1347 | 20500 | 0.0013 | - |
|
| 535 |
+
| 2.1400 | 20550 | 0.0013 | - |
|
| 536 |
+
| 2.1452 | 20600 | 0.0013 | - |
|
| 537 |
+
| 2.1504 | 20650 | 0.0037 | - |
|
| 538 |
+
| 2.1556 | 20700 | 0.0039 | - |
|
| 539 |
+
| 2.1608 | 20750 | 0.0037 | - |
|
| 540 |
+
| 2.1660 | 20800 | 0.0018 | - |
|
| 541 |
+
| 2.1712 | 20850 | 0.0013 | - |
|
| 542 |
+
| 2.1764 | 20900 | 0.0017 | - |
|
| 543 |
+
| 2.1816 | 20950 | 0.0012 | - |
|
| 544 |
+
| 2.1868 | 21000 | 0.0018 | - |
|
| 545 |
+
| 2.1920 | 21050 | 0.0019 | - |
|
| 546 |
+
| 2.1972 | 21100 | 0.002 | - |
|
| 547 |
+
| 2.2024 | 21150 | 0.0009 | - |
|
| 548 |
+
| 2.2076 | 21200 | 0.0008 | - |
|
| 549 |
+
| 2.2129 | 21250 | 0.0011 | - |
|
| 550 |
+
| 2.2181 | 21300 | 0.0015 | - |
|
| 551 |
+
| 2.2233 | 21350 | 0.0007 | - |
|
| 552 |
+
| 2.2285 | 21400 | 0.0012 | - |
|
| 553 |
+
| 2.2337 | 21450 | 0.0015 | - |
|
| 554 |
+
| 2.2389 | 21500 | 0.0017 | - |
|
| 555 |
+
| 2.2441 | 21550 | 0.0008 | - |
|
| 556 |
+
| 2.2493 | 21600 | 0.0008 | - |
|
| 557 |
+
| 2.2545 | 21650 | 0.0025 | - |
|
| 558 |
+
| 2.2597 | 21700 | 0.0022 | - |
|
| 559 |
+
| 2.2649 | 21750 | 0.001 | - |
|
| 560 |
+
| 2.2701 | 21800 | 0.0017 | - |
|
| 561 |
+
| 2.2753 | 21850 | 0.0038 | - |
|
| 562 |
+
| 2.2805 | 21900 | 0.0011 | - |
|
| 563 |
+
| 2.2857 | 21950 | 0.0003 | - |
|
| 564 |
+
| 2.2910 | 22000 | 0.0016 | - |
|
| 565 |
+
| 2.2962 | 22050 | 0.0022 | - |
|
| 566 |
+
| 2.3014 | 22100 | 0.0011 | - |
|
| 567 |
+
| 2.3066 | 22150 | 0.0011 | - |
|
| 568 |
+
| 2.3118 | 22200 | 0.0011 | - |
|
| 569 |
+
| 2.3170 | 22250 | 0.0021 | - |
|
| 570 |
+
| 2.3222 | 22300 | 0.0018 | - |
|
| 571 |
+
| 2.3274 | 22350 | 0.0021 | - |
|
| 572 |
+
| 2.3326 | 22400 | 0.0006 | - |
|
| 573 |
+
| 2.3378 | 22450 | 0.004 | - |
|
| 574 |
+
| 2.3430 | 22500 | 0.001 | - |
|
| 575 |
+
| 2.3482 | 22550 | 0.002 | - |
|
| 576 |
+
| 2.3534 | 22600 | 0.0021 | - |
|
| 577 |
+
| 2.3586 | 22650 | 0.0017 | - |
|
| 578 |
+
| 2.3638 | 22700 | 0.0015 | - |
|
| 579 |
+
| 2.3691 | 22750 | 0.0011 | - |
|
| 580 |
+
| 2.3743 | 22800 | 0.0008 | - |
|
| 581 |
+
| 2.3795 | 22850 | 0.001 | - |
|
| 582 |
+
| 2.3847 | 22900 | 0.0004 | - |
|
| 583 |
+
| 2.3899 | 22950 | 0.0005 | - |
|
| 584 |
+
| 2.3951 | 23000 | 0.0018 | - |
|
| 585 |
+
| 2.4003 | 23050 | 0.001 | - |
|
| 586 |
+
| 2.4055 | 23100 | 0.0009 | - |
|
| 587 |
+
| 2.4107 | 23150 | 0.0024 | - |
|
| 588 |
+
| 2.4159 | 23200 | 0.0014 | - |
|
| 589 |
+
| 2.4211 | 23250 | 0.0013 | - |
|
| 590 |
+
| 2.4263 | 23300 | 0.0013 | - |
|
| 591 |
+
| 2.4315 | 23350 | 0.0003 | - |
|
| 592 |
+
| 2.4367 | 23400 | 0.0003 | - |
|
| 593 |
+
| 2.4419 | 23450 | 0.0013 | - |
|
| 594 |
+
| 2.4472 | 23500 | 0.0021 | - |
|
| 595 |
+
| 2.4524 | 23550 | 0.0025 | - |
|
| 596 |
+
| 2.4576 | 23600 | 0.0018 | - |
|
| 597 |
+
| 2.4628 | 23650 | 0.0021 | - |
|
| 598 |
+
| 2.4680 | 23700 | 0.0009 | - |
|
| 599 |
+
| 2.4732 | 23750 | 0.0015 | - |
|
| 600 |
+
| 2.4784 | 23800 | 0.0012 | - |
|
| 601 |
+
| 2.4836 | 23850 | 0.0009 | - |
|
| 602 |
+
| 2.4888 | 23900 | 0.0011 | - |
|
| 603 |
+
| 2.4940 | 23950 | 0.0006 | - |
|
| 604 |
+
| 2.4992 | 24000 | 0.0005 | - |
|
| 605 |
+
| 2.5044 | 24050 | 0.0016 | - |
|
| 606 |
+
| 2.5096 | 24100 | 0.0021 | - |
|
| 607 |
+
| 2.5148 | 24150 | 0.0022 | - |
|
| 608 |
+
| 2.5200 | 24200 | 0.0037 | - |
|
| 609 |
+
| 2.5253 | 24250 | 0.0018 | - |
|
| 610 |
+
| 2.5305 | 24300 | 0.0014 | - |
|
| 611 |
+
| 2.5357 | 24350 | 0.001 | - |
|
| 612 |
+
| 2.5409 | 24400 | 0.0009 | - |
|
| 613 |
+
| 2.5461 | 24450 | 0.0003 | - |
|
| 614 |
+
| 2.5513 | 24500 | 0.0008 | - |
|
| 615 |
+
| 2.5565 | 24550 | 0.0008 | - |
|
| 616 |
+
| 2.5617 | 24600 | 0.0019 | - |
|
| 617 |
+
| 2.5669 | 24650 | 0.002 | - |
|
| 618 |
+
| 2.5721 | 24700 | 0.0011 | - |
|
| 619 |
+
| 2.5773 | 24750 | 0.0006 | - |
|
| 620 |
+
| 2.5825 | 24800 | 0.0017 | - |
|
| 621 |
+
| 2.5877 | 24850 | 0.0013 | - |
|
| 622 |
+
| 2.5929 | 24900 | 0.0018 | - |
|
| 623 |
+
| 2.5981 | 24950 | 0.0021 | - |
|
| 624 |
+
| 2.6034 | 25000 | 0.0018 | - |
|
| 625 |
+
| 2.6086 | 25050 | 0.0027 | - |
|
| 626 |
+
| 2.6138 | 25100 | 0.0003 | - |
|
| 627 |
+
| 2.6190 | 25150 | 0.002 | - |
|
| 628 |
+
| 2.6242 | 25200 | 0.0017 | - |
|
| 629 |
+
| 2.6294 | 25250 | 0.0008 | - |
|
| 630 |
+
| 2.6346 | 25300 | 0.0005 | - |
|
| 631 |
+
| 2.6398 | 25350 | 0.0022 | - |
|
| 632 |
+
| 2.6450 | 25400 | 0.0006 | - |
|
| 633 |
+
| 2.6502 | 25450 | 0.0017 | - |
|
| 634 |
+
| 2.6554 | 25500 | 0.0011 | - |
|
| 635 |
+
| 2.6606 | 25550 | 0.0009 | - |
|
| 636 |
+
| 2.6658 | 25600 | 0.001 | - |
|
| 637 |
+
| 2.6710 | 25650 | 0.0022 | - |
|
| 638 |
+
| 2.6762 | 25700 | 0.001 | - |
|
| 639 |
+
| 2.6815 | 25750 | 0.0009 | - |
|
| 640 |
+
| 2.6867 | 25800 | 0.0026 | - |
|
| 641 |
+
| 2.6919 | 25850 | 0.0021 | - |
|
| 642 |
+
| 2.6971 | 25900 | 0.001 | - |
|
| 643 |
+
| 2.7023 | 25950 | 0.0014 | - |
|
| 644 |
+
| 2.7075 | 26000 | 0.0017 | - |
|
| 645 |
+
| 2.7127 | 26050 | 0.0016 | - |
|
| 646 |
+
| 2.7179 | 26100 | 0.0003 | - |
|
| 647 |
+
| 2.7231 | 26150 | 0.0014 | - |
|
| 648 |
+
| 2.7283 | 26200 | 0.0004 | - |
|
| 649 |
+
| 2.7335 | 26250 | 0.0019 | - |
|
| 650 |
+
| 2.7387 | 26300 | 0.0011 | - |
|
| 651 |
+
| 2.7439 | 26350 | 0.0012 | - |
|
| 652 |
+
| 2.7491 | 26400 | 0.0015 | - |
|
| 653 |
+
| 2.7543 | 26450 | 0.0009 | - |
|
| 654 |
+
| 2.7596 | 26500 | 0.0002 | - |
|
| 655 |
+
| 2.7648 | 26550 | 0.0018 | - |
|
| 656 |
+
| 2.7700 | 26600 | 0.001 | - |
|
| 657 |
+
| 2.7752 | 26650 | 0.0019 | - |
|
| 658 |
+
| 2.7804 | 26700 | 0.0007 | - |
|
| 659 |
+
| 2.7856 | 26750 | 0.0008 | - |
|
| 660 |
+
| 2.7908 | 26800 | 0.0015 | - |
|
| 661 |
+
| 2.7960 | 26850 | 0.0023 | - |
|
| 662 |
+
| 2.8012 | 26900 | 0.0005 | - |
|
| 663 |
+
| 2.8064 | 26950 | 0.0014 | - |
|
| 664 |
+
| 2.8116 | 27000 | 0.0014 | - |
|
| 665 |
+
| 2.8168 | 27050 | 0.0008 | - |
|
| 666 |
+
| 2.8220 | 27100 | 0.0016 | - |
|
| 667 |
+
| 2.8272 | 27150 | 0.0024 | - |
|
| 668 |
+
| 2.8324 | 27200 | 0.001 | - |
|
| 669 |
+
| 2.8377 | 27250 | 0.0024 | - |
|
| 670 |
+
| 2.8429 | 27300 | 0.0005 | - |
|
| 671 |
+
| 2.8481 | 27350 | 0.0001 | - |
|
| 672 |
+
| 2.8533 | 27400 | 0.0021 | - |
|
| 673 |
+
| 2.8585 | 27450 | 0.0016 | - |
|
| 674 |
+
| 2.8637 | 27500 | 0.0011 | - |
|
| 675 |
+
| 2.8689 | 27550 | 0.0018 | - |
|
| 676 |
+
| 2.8741 | 27600 | 0.0008 | - |
|
| 677 |
+
| 2.8793 | 27650 | 0.0023 | - |
|
| 678 |
+
| 2.8845 | 27700 | 0.0009 | - |
|
| 679 |
+
| 2.8897 | 27750 | 0.0002 | - |
|
| 680 |
+
| 2.8949 | 27800 | 0.0013 | - |
|
| 681 |
+
| 2.9001 | 27850 | 0.0021 | - |
|
| 682 |
+
| 2.9053 | 27900 | 0.0002 | - |
|
| 683 |
+
| 2.9105 | 27950 | 0.0015 | - |
|
| 684 |
+
| 2.9158 | 28000 | 0.0015 | - |
|
| 685 |
+
| 2.9210 | 28050 | 0.0003 | - |
|
| 686 |
+
| 2.9262 | 28100 | 0.0011 | - |
|
| 687 |
+
| 2.9314 | 28150 | 0.0002 | - |
|
| 688 |
+
| 2.9366 | 28200 | 0.002 | - |
|
| 689 |
+
| 2.9418 | 28250 | 0.001 | - |
|
| 690 |
+
| 2.9470 | 28300 | 0.0026 | - |
|
| 691 |
+
| 2.9522 | 28350 | 0.0015 | - |
|
| 692 |
+
| 2.9574 | 28400 | 0.0004 | - |
|
| 693 |
+
| 2.9626 | 28450 | 0.001 | - |
|
| 694 |
+
| 2.9678 | 28500 | 0.0023 | - |
|
| 695 |
+
| 2.9730 | 28550 | 0.0013 | - |
|
| 696 |
+
| 2.9782 | 28600 | 0.0002 | - |
|
| 697 |
+
| 2.9834 | 28650 | 0.0005 | - |
|
| 698 |
+
| 2.9886 | 28700 | 0.0006 | - |
|
| 699 |
+
| 2.9939 | 28750 | 0.0028 | - |
|
| 700 |
+
| 2.9991 | 28800 | 0.0016 | - |
|
| 701 |
+
| 3.0043 | 28850 | 0.0017 | - |
|
| 702 |
+
| 3.0095 | 28900 | 0.0003 | - |
|
| 703 |
+
| 3.0147 | 28950 | 0.0014 | - |
|
| 704 |
+
| 3.0199 | 29000 | 0.0014 | - |
|
| 705 |
+
| 3.0251 | 29050 | 0.0021 | - |
|
| 706 |
+
| 3.0303 | 29100 | 0.0007 | - |
|
| 707 |
+
| 3.0355 | 29150 | 0.0007 | - |
|
| 708 |
+
| 3.0407 | 29200 | 0.0003 | - |
|
| 709 |
+
| 3.0459 | 29250 | 0.0013 | - |
|
| 710 |
+
| 3.0511 | 29300 | 0.0015 | - |
|
| 711 |
+
| 3.0563 | 29350 | 0.0005 | - |
|
| 712 |
+
| 3.0615 | 29400 | 0.002 | - |
|
| 713 |
+
| 3.0667 | 29450 | 0.0006 | - |
|
| 714 |
+
| 3.0720 | 29500 | 0.0013 | - |
|
| 715 |
+
| 3.0772 | 29550 | 0.0018 | - |
|
| 716 |
+
| 3.0824 | 29600 | 0.0002 | - |
|
| 717 |
+
| 3.0876 | 29650 | 0.0012 | - |
|
| 718 |
+
| 3.0928 | 29700 | 0.0007 | - |
|
| 719 |
+
| 3.0980 | 29750 | 0.0015 | - |
|
| 720 |
+
| 3.1032 | 29800 | 0.0008 | - |
|
| 721 |
+
| 3.1084 | 29850 | 0.0004 | - |
|
| 722 |
+
| 3.1136 | 29900 | 0.0032 | - |
|
| 723 |
+
| 3.1188 | 29950 | 0.0015 | - |
|
| 724 |
+
| 3.1240 | 30000 | 0.0014 | - |
|
| 725 |
+
| 3.1292 | 30050 | 0.0013 | - |
|
| 726 |
+
| 3.1344 | 30100 | 0.0008 | - |
|
| 727 |
+
| 3.1396 | 30150 | 0.0014 | - |
|
| 728 |
+
| 3.1449 | 30200 | 0.0019 | - |
|
| 729 |
+
| 3.1501 | 30250 | 0.0007 | - |
|
| 730 |
+
| 3.1553 | 30300 | 0.0022 | - |
|
| 731 |
+
| 3.1605 | 30350 | 0.0008 | - |
|
| 732 |
+
| 3.1657 | 30400 | 0.0007 | - |
|
| 733 |
+
| 3.1709 | 30450 | 0.0006 | - |
|
| 734 |
+
| 3.1761 | 30500 | 0.0014 | - |
|
| 735 |
+
| 3.1813 | 30550 | 0.0006 | - |
|
| 736 |
+
| 3.1865 | 30600 | 0.0008 | - |
|
| 737 |
+
| 3.1917 | 30650 | 0.0014 | - |
|
| 738 |
+
| 3.1969 | 30700 | 0.0007 | - |
|
| 739 |
+
| 3.2021 | 30750 | 0.0017 | - |
|
| 740 |
+
| 3.2073 | 30800 | 0.0016 | - |
|
| 741 |
+
| 3.2125 | 30850 | 0.0017 | - |
|
| 742 |
+
| 3.2177 | 30900 | 0.0007 | - |
|
| 743 |
+
| 3.2230 | 30950 | 0.0014 | - |
|
| 744 |
+
| 3.2282 | 31000 | 0.0017 | - |
|
| 745 |
+
| 3.2334 | 31050 | 0.0013 | - |
|
| 746 |
+
| 3.2386 | 31100 | 0.0021 | - |
|
| 747 |
+
| 3.2438 | 31150 | 0.0012 | - |
|
| 748 |
+
| 3.2490 | 31200 | 0.002 | - |
|
| 749 |
+
| 3.2542 | 31250 | 0.0007 | - |
|
| 750 |
+
| 3.2594 | 31300 | 0.0008 | - |
|
| 751 |
+
| 3.2646 | 31350 | 0.0009 | - |
|
| 752 |
+
| 3.2698 | 31400 | 0.0008 | - |
|
| 753 |
+
| 3.2750 | 31450 | 0.0007 | - |
|
| 754 |
+
| 3.2802 | 31500 | 0.0014 | - |
|
| 755 |
+
| 3.2854 | 31550 | 0.0006 | - |
|
| 756 |
+
| 3.2906 | 31600 | 0.0002 | - |
|
| 757 |
+
| 3.2958 | 31650 | 0.0007 | - |
|
| 758 |
+
| 3.3011 | 31700 | 0.0024 | - |
|
| 759 |
+
| 3.3063 | 31750 | 0.0003 | - |
|
| 760 |
+
| 3.3115 | 31800 | 0.0014 | - |
|
| 761 |
+
| 3.3167 | 31850 | 0.0011 | - |
|
| 762 |
+
| 3.3219 | 31900 | 0.0024 | - |
|
| 763 |
+
| 3.3271 | 31950 | 0.0007 | - |
|
| 764 |
+
| 3.3323 | 32000 | 0.0014 | - |
|
| 765 |
+
| 3.3375 | 32050 | 0.0007 | - |
|
| 766 |
+
| 3.3427 | 32100 | 0.0011 | - |
|
| 767 |
+
| 3.3479 | 32150 | 0.0013 | - |
|
| 768 |
+
| 3.3531 | 32200 | 0.0012 | - |
|
| 769 |
+
| 3.3583 | 32250 | 0.0009 | - |
|
| 770 |
+
| 3.3635 | 32300 | 0.0009 | - |
|
| 771 |
+
| 3.3687 | 32350 | 0.0002 | - |
|
| 772 |
+
| 3.3739 | 32400 | 0.0009 | - |
|
| 773 |
+
| 3.3792 | 32450 | 0.0001 | - |
|
| 774 |
+
| 3.3844 | 32500 | 0.0008 | - |
|
| 775 |
+
| 3.3896 | 32550 | 0.0009 | - |
|
| 776 |
+
| 3.3948 | 32600 | 0.0007 | - |
|
| 777 |
+
| 3.4000 | 32650 | 0.0033 | - |
|
| 778 |
+
| 3.4052 | 32700 | 0.0001 | - |
|
| 779 |
+
| 3.4104 | 32750 | 0.0008 | - |
|
| 780 |
+
| 3.4156 | 32800 | 0.0018 | - |
|
| 781 |
+
| 3.4208 | 32850 | 0.0006 | - |
|
| 782 |
+
| 3.4260 | 32900 | 0.001 | - |
|
| 783 |
+
| 3.4312 | 32950 | 0.0008 | - |
|
| 784 |
+
| 3.4364 | 33000 | 0.0014 | - |
|
| 785 |
+
| 3.4416 | 33050 | 0.0015 | - |
|
| 786 |
+
| 3.4468 | 33100 | 0.0002 | - |
|
| 787 |
+
| 3.4520 | 33150 | 0.0004 | - |
|
| 788 |
+
| 3.4573 | 33200 | 0.0011 | - |
|
| 789 |
+
| 3.4625 | 33250 | 0.0008 | - |
|
| 790 |
+
| 3.4677 | 33300 | 0.0007 | - |
|
| 791 |
+
| 3.4729 | 33350 | 0.0023 | - |
|
| 792 |
+
| 3.4781 | 33400 | 0.0009 | - |
|
| 793 |
+
| 3.4833 | 33450 | 0.0005 | - |
|
| 794 |
+
| 3.4885 | 33500 | 0.0008 | - |
|
| 795 |
+
| 3.4937 | 33550 | 0.0003 | - |
|
| 796 |
+
| 3.4989 | 33600 | 0.0001 | - |
|
| 797 |
+
| 3.5041 | 33650 | 0.0008 | - |
|
| 798 |
+
| 3.5093 | 33700 | 0.0009 | - |
|
| 799 |
+
| 3.5145 | 33750 | 0.0011 | - |
|
| 800 |
+
| 3.5197 | 33800 | 0.0002 | - |
|
| 801 |
+
| 3.5249 | 33850 | 0.0011 | - |
|
| 802 |
+
| 3.5301 | 33900 | 0.0011 | - |
|
| 803 |
+
| 3.5354 | 33950 | 0.0003 | - |
|
| 804 |
+
| 3.5406 | 34000 | 0.001 | - |
|
| 805 |
+
| 3.5458 | 34050 | 0.0003 | - |
|
| 806 |
+
| 3.5510 | 34100 | 0.0007 | - |
|
| 807 |
+
| 3.5562 | 34150 | 0.0001 | - |
|
| 808 |
+
| 3.5614 | 34200 | 0.0001 | - |
|
| 809 |
+
| 3.5666 | 34250 | 0.0002 | - |
|
| 810 |
+
| 3.5718 | 34300 | 0.0013 | - |
|
| 811 |
+
| 3.5770 | 34350 | 0.0008 | - |
|
| 812 |
+
| 3.5822 | 34400 | 0.0028 | - |
|
| 813 |
+
| 3.5874 | 34450 | 0.0008 | - |
|
| 814 |
+
| 3.5926 | 34500 | 0.0002 | - |
|
| 815 |
+
| 3.5978 | 34550 | 0.0012 | - |
|
| 816 |
+
| 3.6030 | 34600 | 0.0011 | - |
|
| 817 |
+
| 3.6082 | 34650 | 0.0027 | - |
|
| 818 |
+
| 3.6135 | 34700 | 0.0002 | - |
|
| 819 |
+
| 3.6187 | 34750 | 0.0011 | - |
|
| 820 |
+
| 3.6239 | 34800 | 0.0015 | - |
|
| 821 |
+
| 3.6291 | 34850 | 0.0014 | - |
|
| 822 |
+
| 3.6343 | 34900 | 0.0003 | - |
|
| 823 |
+
| 3.6395 | 34950 | 0.0008 | - |
|
| 824 |
+
| 3.6447 | 35000 | 0.0007 | - |
|
| 825 |
+
| 3.6499 | 35050 | 0.0009 | - |
|
| 826 |
+
| 3.6551 | 35100 | 0.0008 | - |
|
| 827 |
+
| 3.6603 | 35150 | 0.0007 | - |
|
| 828 |
+
| 3.6655 | 35200 | 0.0005 | - |
|
| 829 |
+
| 3.6707 | 35250 | 0.0002 | - |
|
| 830 |
+
| 3.6759 | 35300 | 0.0005 | - |
|
| 831 |
+
| 3.6811 | 35350 | 0.0001 | - |
|
| 832 |
+
| 3.6863 | 35400 | 0.0004 | - |
|
| 833 |
+
| 3.6916 | 35450 | 0.0008 | - |
|
| 834 |
+
| 3.6968 | 35500 | 0.0008 | - |
|
| 835 |
+
| 3.7020 | 35550 | 0.0017 | - |
|
| 836 |
+
| 3.7072 | 35600 | 0.0004 | - |
|
| 837 |
+
| 3.7124 | 35650 | 0.0011 | - |
|
| 838 |
+
| 3.7176 | 35700 | 0.0009 | - |
|
| 839 |
+
| 3.7228 | 35750 | 0.0002 | - |
|
| 840 |
+
| 3.7280 | 35800 | 0.0017 | - |
|
| 841 |
+
| 3.7332 | 35850 | 0.0001 | - |
|
| 842 |
+
| 3.7384 | 35900 | 0.0009 | - |
|
| 843 |
+
| 3.7436 | 35950 | 0.0002 | - |
|
| 844 |
+
| 3.7488 | 36000 | 0.0001 | - |
|
| 845 |
+
| 3.7540 | 36050 | 0.0007 | - |
|
| 846 |
+
| 3.7592 | 36100 | 0.0014 | - |
|
| 847 |
+
| 3.7644 | 36150 | 0.0005 | - |
|
| 848 |
+
| 3.7697 | 36200 | 0.0001 | - |
|
| 849 |
+
| 3.7749 | 36250 | 0.0002 | - |
|
| 850 |
+
| 3.7801 | 36300 | 0.0012 | - |
|
| 851 |
+
| 3.7853 | 36350 | 0.0011 | - |
|
| 852 |
+
| 3.7905 | 36400 | 0.0014 | - |
|
| 853 |
+
| 3.7957 | 36450 | 0.0004 | - |
|
| 854 |
+
| 3.8009 | 36500 | 0.0001 | - |
|
| 855 |
+
| 3.8061 | 36550 | 0.0013 | - |
|
| 856 |
+
| 3.8113 | 36600 | 0.0013 | - |
|
| 857 |
+
| 3.8165 | 36650 | 0.0001 | - |
|
| 858 |
+
| 3.8217 | 36700 | 0.0008 | - |
|
| 859 |
+
| 3.8269 | 36750 | 0.0008 | - |
|
| 860 |
+
| 3.8321 | 36800 | 0.0008 | - |
|
| 861 |
+
| 3.8373 | 36850 | 0.0011 | - |
|
| 862 |
+
| 3.8425 | 36900 | 0.0012 | - |
|
| 863 |
+
| 3.8478 | 36950 | 0.001 | - |
|
| 864 |
+
| 3.8530 | 37000 | 0.0007 | - |
|
| 865 |
+
| 3.8582 | 37050 | 0.0002 | - |
|
| 866 |
+
| 3.8634 | 37100 | 0.0018 | - |
|
| 867 |
+
| 3.8686 | 37150 | 0.0007 | - |
|
| 868 |
+
| 3.8738 | 37200 | 0.0008 | - |
|
| 869 |
+
| 3.8790 | 37250 | 0.0002 | - |
|
| 870 |
+
| 3.8842 | 37300 | 0.0001 | - |
|
| 871 |
+
| 3.8894 | 37350 | 0.0016 | - |
|
| 872 |
+
| 3.8946 | 37400 | 0.0001 | - |
|
| 873 |
+
| 3.8998 | 37450 | 0.0001 | - |
|
| 874 |
+
| 3.9050 | 37500 | 0.0001 | - |
|
| 875 |
+
| 3.9102 | 37550 | 0.0009 | - |
|
| 876 |
+
| 3.9154 | 37600 | 0.0013 | - |
|
| 877 |
+
| 3.9206 | 37650 | 0.0001 | - |
|
| 878 |
+
| 3.9259 | 37700 | 0.0018 | - |
|
| 879 |
+
| 3.9311 | 37750 | 0.0009 | - |
|
| 880 |
+
| 3.9363 | 37800 | 0.0008 | - |
|
| 881 |
+
| 3.9415 | 37850 | 0.0004 | - |
|
| 882 |
+
| 3.9467 | 37900 | 0.0006 | - |
|
| 883 |
+
| 3.9519 | 37950 | 0.0003 | - |
|
| 884 |
+
| 3.9571 | 38000 | 0.0015 | - |
|
| 885 |
+
| 3.9623 | 38050 | 0.0008 | - |
|
| 886 |
+
| 3.9675 | 38100 | 0.0001 | - |
|
| 887 |
+
| 3.9727 | 38150 | 0.0001 | - |
|
| 888 |
+
| 3.9779 | 38200 | 0.0001 | - |
|
| 889 |
+
| 3.9831 | 38250 | 0.002 | - |
|
| 890 |
+
| 3.9883 | 38300 | 0.0002 | - |
|
| 891 |
+
| 3.9935 | 38350 | 0.0001 | - |
|
| 892 |
+
| 3.9988 | 38400 | 0.0011 | - |
|
| 893 |
+
| 4.0040 | 38450 | 0.0001 | - |
|
| 894 |
+
| 4.0092 | 38500 | 0.0002 | - |
|
| 895 |
+
| 4.0144 | 38550 | 0.0016 | - |
|
| 896 |
+
| 4.0196 | 38600 | 0.0013 | - |
|
| 897 |
+
| 4.0248 | 38650 | 0.0015 | - |
|
| 898 |
+
| 4.0300 | 38700 | 0.0003 | - |
|
| 899 |
+
| 4.0352 | 38750 | 0.0002 | - |
|
| 900 |
+
| 4.0404 | 38800 | 0.0001 | - |
|
| 901 |
+
| 4.0456 | 38850 | 0.0014 | - |
|
| 902 |
+
| 4.0508 | 38900 | 0.0014 | - |
|
| 903 |
+
| 4.0560 | 38950 | 0.0011 | - |
|
| 904 |
+
| 4.0612 | 39000 | 0.0002 | - |
|
| 905 |
+
| 4.0664 | 39050 | 0.0014 | - |
|
| 906 |
+
| 4.0716 | 39100 | 0.002 | - |
|
| 907 |
+
| 4.0769 | 39150 | 0.0007 | - |
|
| 908 |
+
| 4.0821 | 39200 | 0.0014 | - |
|
| 909 |
+
| 4.0873 | 39250 | 0.0008 | - |
|
| 910 |
+
| 4.0925 | 39300 | 0.0001 | - |
|
| 911 |
+
| 4.0977 | 39350 | 0.0008 | - |
|
| 912 |
+
| 4.1029 | 39400 | 0.0001 | - |
|
| 913 |
+
| 4.1081 | 39450 | 0.0001 | - |
|
| 914 |
+
| 4.1133 | 39500 | 0.0008 | - |
|
| 915 |
+
| 4.1185 | 39550 | 0.0001 | - |
|
| 916 |
+
| 4.1237 | 39600 | 0.0002 | - |
|
| 917 |
+
| 4.1289 | 39650 | 0.0005 | - |
|
| 918 |
+
| 4.1341 | 39700 | 0.0004 | - |
|
| 919 |
+
| 4.1393 | 39750 | 0.0001 | - |
|
| 920 |
+
| 4.1445 | 39800 | 0.0009 | - |
|
| 921 |
+
| 4.1497 | 39850 | 0.0001 | - |
|
| 922 |
+
| 4.1550 | 39900 | 0.0007 | - |
|
| 923 |
+
| 4.1602 | 39950 | 0.0013 | - |
|
| 924 |
+
| 4.1654 | 40000 | 0.0004 | - |
|
| 925 |
+
| 4.1706 | 40050 | 0.0003 | - |
|
| 926 |
+
| 4.1758 | 40100 | 0.0008 | - |
|
| 927 |
+
| 4.1810 | 40150 | 0.0007 | - |
|
| 928 |
+
| 4.1862 | 40200 | 0.0004 | - |
|
| 929 |
+
| 4.1914 | 40250 | 0.0007 | - |
|
| 930 |
+
| 4.1966 | 40300 | 0.0013 | - |
|
| 931 |
+
| 4.2018 | 40350 | 0.0003 | - |
|
| 932 |
+
| 4.2070 | 40400 | 0.0007 | - |
|
| 933 |
+
| 4.2122 | 40450 | 0.001 | - |
|
| 934 |
+
| 4.2174 | 40500 | 0.0001 | - |
|
| 935 |
+
| 4.2226 | 40550 | 0.0007 | - |
|
| 936 |
+
| 4.2278 | 40600 | 0.0001 | - |
|
| 937 |
+
| 4.2331 | 40650 | 0.0007 | - |
|
| 938 |
+
| 4.2383 | 40700 | 0.0008 | - |
|
| 939 |
+
| 4.2435 | 40750 | 0.0008 | - |
|
| 940 |
+
| 4.2487 | 40800 | 0.0007 | - |
|
| 941 |
+
| 4.2539 | 40850 | 0.0015 | - |
|
| 942 |
+
| 4.2591 | 40900 | 0.0001 | - |
|
| 943 |
+
| 4.2643 | 40950 | 0.0001 | - |
|
| 944 |
+
| 4.2695 | 41000 | 0.0002 | - |
|
| 945 |
+
| 4.2747 | 41050 | 0.0001 | - |
|
| 946 |
+
| 4.2799 | 41100 | 0.0001 | - |
|
| 947 |
+
| 4.2851 | 41150 | 0.0001 | - |
|
| 948 |
+
| 4.2903 | 41200 | 0.0021 | - |
|
| 949 |
+
| 4.2955 | 41250 | 0.0013 | - |
|
| 950 |
+
| 4.3007 | 41300 | 0.001 | - |
|
| 951 |
+
| 4.3059 | 41350 | 0.0009 | - |
|
| 952 |
+
| 4.3112 | 41400 | 0.0001 | - |
|
| 953 |
+
| 4.3164 | 41450 | 0.0001 | - |
|
| 954 |
+
| 4.3216 | 41500 | 0.0007 | - |
|
| 955 |
+
| 4.3268 | 41550 | 0.0007 | - |
|
| 956 |
+
| 4.3320 | 41600 | 0.0003 | - |
|
| 957 |
+
| 4.3372 | 41650 | 0.0007 | - |
|
| 958 |
+
| 4.3424 | 41700 | 0.0001 | - |
|
| 959 |
+
| 4.3476 | 41750 | 0.0009 | - |
|
| 960 |
+
| 4.3528 | 41800 | 0.0013 | - |
|
| 961 |
+
| 4.3580 | 41850 | 0.0001 | - |
|
| 962 |
+
| 4.3632 | 41900 | 0.0019 | - |
|
| 963 |
+
| 4.3684 | 41950 | 0.0002 | - |
|
| 964 |
+
| 4.3736 | 42000 | 0.0002 | - |
|
| 965 |
+
| 4.3788 | 42050 | 0.0006 | - |
|
| 966 |
+
| 4.3840 | 42100 | 0.0007 | - |
|
| 967 |
+
| 4.3893 | 42150 | 0.0001 | - |
|
| 968 |
+
| 4.3945 | 42200 | 0.0006 | - |
|
| 969 |
+
| 4.3997 | 42250 | 0.0024 | - |
|
| 970 |
+
| 4.4049 | 42300 | 0.0007 | - |
|
| 971 |
+
| 4.4101 | 42350 | 0.0008 | - |
|
| 972 |
+
| 4.4153 | 42400 | 0.0014 | - |
|
| 973 |
+
| 4.4205 | 42450 | 0.0001 | - |
|
| 974 |
+
| 4.4257 | 42500 | 0.0007 | - |
|
| 975 |
+
| 4.4309 | 42550 | 0.0001 | - |
|
| 976 |
+
| 4.4361 | 42600 | 0.0011 | - |
|
| 977 |
+
| 4.4413 | 42650 | 0.0015 | - |
|
| 978 |
+
| 4.4465 | 42700 | 0.0008 | - |
|
| 979 |
+
| 4.4517 | 42750 | 0.0001 | - |
|
| 980 |
+
| 4.4569 | 42800 | 0.0006 | - |
|
| 981 |
+
| 4.4621 | 42850 | 0.0004 | - |
|
| 982 |
+
| 4.4674 | 42900 | 0.0008 | - |
|
| 983 |
+
| 4.4726 | 42950 | 0.0017 | - |
|
| 984 |
+
| 4.4778 | 43000 | 0.0001 | - |
|
| 985 |
+
| 4.4830 | 43050 | 0.0005 | - |
|
| 986 |
+
| 4.4882 | 43100 | 0.0012 | - |
|
| 987 |
+
| 4.4934 | 43150 | 0.0002 | - |
|
| 988 |
+
| 4.4986 | 43200 | 0.0014 | - |
|
| 989 |
+
| 4.5038 | 43250 | 0.0007 | - |
|
| 990 |
+
| 4.5090 | 43300 | 0.0003 | - |
|
| 991 |
+
| 4.5142 | 43350 | 0.0026 | - |
|
| 992 |
+
| 4.5194 | 43400 | 0.0001 | - |
|
| 993 |
+
| 4.5246 | 43450 | 0.0024 | - |
|
| 994 |
+
| 4.5298 | 43500 | 0.0001 | - |
|
| 995 |
+
| 4.5350 | 43550 | 0.0001 | - |
|
| 996 |
+
| 4.5402 | 43600 | 0.0001 | - |
|
| 997 |
+
| 4.5455 | 43650 | 0.0015 | - |
|
| 998 |
+
| 4.5507 | 43700 | 0.0007 | - |
|
| 999 |
+
| 4.5559 | 43750 | 0.0013 | - |
|
| 1000 |
+
| 4.5611 | 43800 | 0.0018 | - |
|
| 1001 |
+
| 4.5663 | 43850 | 0.0001 | - |
|
| 1002 |
+
| 4.5715 | 43900 | 0.0014 | - |
|
| 1003 |
+
| 4.5767 | 43950 | 0.001 | - |
|
| 1004 |
+
| 4.5819 | 44000 | 0.0005 | - |
|
| 1005 |
+
| 4.5871 | 44050 | 0.0001 | - |
|
| 1006 |
+
| 4.5923 | 44100 | 0.0008 | - |
|
| 1007 |
+
| 4.5975 | 44150 | 0.0007 | - |
|
| 1008 |
+
| 4.6027 | 44200 | 0.0016 | - |
|
| 1009 |
+
| 4.6079 | 44250 | 0.0004 | - |
|
| 1010 |
+
| 4.6131 | 44300 | 0.0001 | - |
|
| 1011 |
+
| 4.6183 | 44350 | 0.0001 | - |
|
| 1012 |
+
| 4.6236 | 44400 | 0.0001 | - |
|
| 1013 |
+
| 4.6288 | 44450 | 0.0013 | - |
|
| 1014 |
+
| 4.6340 | 44500 | 0.0002 | - |
|
| 1015 |
+
| 4.6392 | 44550 | 0.0001 | - |
|
| 1016 |
+
| 4.6444 | 44600 | 0.0001 | - |
|
| 1017 |
+
| 4.6496 | 44650 | 0.0008 | - |
|
| 1018 |
+
| 4.6548 | 44700 | 0.0001 | - |
|
| 1019 |
+
| 4.6600 | 44750 | 0.0013 | - |
|
| 1020 |
+
| 4.6652 | 44800 | 0.001 | - |
|
| 1021 |
+
| 4.6704 | 44850 | 0.0009 | - |
|
| 1022 |
+
| 4.6756 | 44900 | 0.0001 | - |
|
| 1023 |
+
| 4.6808 | 44950 | 0.0 | - |
|
| 1024 |
+
| 4.6860 | 45000 | 0.0007 | - |
|
| 1025 |
+
| 4.6912 | 45050 | 0.0009 | - |
|
| 1026 |
+
| 4.6964 | 45100 | 0.0007 | - |
|
| 1027 |
+
| 4.7017 | 45150 | 0.0001 | - |
|
| 1028 |
+
| 4.7069 | 45200 | 0.001 | - |
|
| 1029 |
+
| 4.7121 | 45250 | 0.0003 | - |
|
| 1030 |
+
| 4.7173 | 45300 | 0.0007 | - |
|
| 1031 |
+
| 4.7225 | 45350 | 0.001 | - |
|
| 1032 |
+
| 4.7277 | 45400 | 0.0013 | - |
|
| 1033 |
+
| 4.7329 | 45450 | 0.0019 | - |
|
| 1034 |
+
| 4.7381 | 45500 | 0.0009 | - |
|
| 1035 |
+
| 4.7433 | 45550 | 0.0009 | - |
|
| 1036 |
+
| 4.7485 | 45600 | 0.001 | - |
|
| 1037 |
+
| 4.7537 | 45650 | 0.0 | - |
|
| 1038 |
+
| 4.7589 | 45700 | 0.0007 | - |
|
| 1039 |
+
| 4.7641 | 45750 | 0.0008 | - |
|
| 1040 |
+
| 4.7693 | 45800 | 0.0 | - |
|
| 1041 |
+
| 4.7745 | 45850 | 0.0002 | - |
|
| 1042 |
+
| 4.7798 | 45900 | 0.0 | - |
|
| 1043 |
+
| 4.7850 | 45950 | 0.0004 | - |
|
| 1044 |
+
| 4.7902 | 46000 | 0.0007 | - |
|
| 1045 |
+
| 4.7954 | 46050 | 0.0007 | - |
|
| 1046 |
+
| 4.8006 | 46100 | 0.0007 | - |
|
| 1047 |
+
| 4.8058 | 46150 | 0.0 | - |
|
| 1048 |
+
| 4.8110 | 46200 | 0.0005 | - |
|
| 1049 |
+
| 4.8162 | 46250 | 0.0001 | - |
|
| 1050 |
+
| 4.8214 | 46300 | 0.0008 | - |
|
| 1051 |
+
| 4.8266 | 46350 | 0.001 | - |
|
| 1052 |
+
| 4.8318 | 46400 | 0.0007 | - |
|
| 1053 |
+
| 4.8370 | 46450 | 0.0001 | - |
|
| 1054 |
+
| 4.8422 | 46500 | 0.0008 | - |
|
| 1055 |
+
| 4.8474 | 46550 | 0.0002 | - |
|
| 1056 |
+
| 4.8527 | 46600 | 0.0001 | - |
|
| 1057 |
+
| 4.8579 | 46650 | 0.0009 | - |
|
| 1058 |
+
| 4.8631 | 46700 | 0.0001 | - |
|
| 1059 |
+
| 4.8683 | 46750 | 0.0014 | - |
|
| 1060 |
+
| 4.8735 | 46800 | 0.0005 | - |
|
| 1061 |
+
| 4.8787 | 46850 | 0.0001 | - |
|
| 1062 |
+
| 4.8839 | 46900 | 0.0001 | - |
|
| 1063 |
+
| 4.8891 | 46950 | 0.0 | - |
|
| 1064 |
+
| 4.8943 | 47000 | 0.001 | - |
|
| 1065 |
+
| 4.8995 | 47050 | 0.001 | - |
|
| 1066 |
+
| 4.9047 | 47100 | 0.0013 | - |
|
| 1067 |
+
| 4.9099 | 47150 | 0.0002 | - |
|
| 1068 |
+
| 4.9151 | 47200 | 0.0001 | - |
|
| 1069 |
+
| 4.9203 | 47250 | 0.0002 | - |
|
| 1070 |
+
| 4.9255 | 47300 | 0.0018 | - |
|
| 1071 |
+
| 4.9308 | 47350 | 0.0001 | - |
|
| 1072 |
+
| 4.9360 | 47400 | 0.0001 | - |
|
| 1073 |
+
| 4.9412 | 47450 | 0.0005 | - |
|
| 1074 |
+
| 4.9464 | 47500 | 0.0008 | - |
|
| 1075 |
+
| 4.9516 | 47550 | 0.0013 | - |
|
| 1076 |
+
| 4.9568 | 47600 | 0.0007 | - |
|
| 1077 |
+
| 4.9620 | 47650 | 0.0004 | - |
|
| 1078 |
+
| 4.9672 | 47700 | 0.0003 | - |
|
| 1079 |
+
| 4.9724 | 47750 | 0.0022 | - |
|
| 1080 |
+
| 4.9776 | 47800 | 0.0008 | - |
|
| 1081 |
+
| 4.9828 | 47850 | 0.0006 | - |
|
| 1082 |
+
| 4.9880 | 47900 | 0.0 | - |
|
| 1083 |
+
| 4.9932 | 47950 | 0.0007 | - |
|
| 1084 |
+
| 4.9984 | 48000 | 0.0001 | - |
|
| 1085 |
|
| 1086 |
### Framework Versions
|
| 1087 |
- Python: 3.10.8
|
checkpoint-48015/1_Pooling/config.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"word_embedding_dimension": 384,
|
| 3 |
+
"pooling_mode_cls_token": false,
|
| 4 |
+
"pooling_mode_mean_tokens": true,
|
| 5 |
+
"pooling_mode_max_tokens": false,
|
| 6 |
+
"pooling_mode_mean_sqrt_len_tokens": false,
|
| 7 |
+
"pooling_mode_weightedmean_tokens": false,
|
| 8 |
+
"pooling_mode_lasttoken": false,
|
| 9 |
+
"include_prompt": true
|
| 10 |
+
}
|
checkpoint-48015/README.md
ADDED
|
@@ -0,0 +1,100 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
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|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
library_name: sentence-transformers
|
| 4 |
+
tags:
|
| 5 |
+
- sentence-transformers
|
| 6 |
+
- feature-extraction
|
| 7 |
+
- sentence-similarity
|
| 8 |
+
- transformers
|
| 9 |
+
pipeline_tag: sentence-similarity
|
| 10 |
+
---
|
| 11 |
+
|
| 12 |
+
# sentence-transformers/paraphrase-MiniLM-L6-v2
|
| 13 |
+
|
| 14 |
+
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
## Usage (Sentence-Transformers)
|
| 19 |
+
|
| 20 |
+
Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed:
|
| 21 |
+
|
| 22 |
+
```
|
| 23 |
+
pip install -U sentence-transformers
|
| 24 |
+
```
|
| 25 |
+
|
| 26 |
+
Then you can use the model like this:
|
| 27 |
+
|
| 28 |
+
```python
|
| 29 |
+
from sentence_transformers import SentenceTransformer
|
| 30 |
+
sentences = ["This is an example sentence", "Each sentence is converted"]
|
| 31 |
+
|
| 32 |
+
model = SentenceTransformer('sentence-transformers/paraphrase-MiniLM-L6-v2')
|
| 33 |
+
embeddings = model.encode(sentences)
|
| 34 |
+
print(embeddings)
|
| 35 |
+
```
|
| 36 |
+
|
| 37 |
+
|
| 38 |
+
|
| 39 |
+
## Usage (HuggingFace Transformers)
|
| 40 |
+
Without [sentence-transformers](https://www.SBERT.net), you can use the model like this: First, you pass your input through the transformer model, then you have to apply the right pooling-operation on-top of the contextualized word embeddings.
|
| 41 |
+
|
| 42 |
+
```python
|
| 43 |
+
from transformers import AutoTokenizer, AutoModel
|
| 44 |
+
import torch
|
| 45 |
+
|
| 46 |
+
|
| 47 |
+
#Mean Pooling - Take attention mask into account for correct averaging
|
| 48 |
+
def mean_pooling(model_output, attention_mask):
|
| 49 |
+
token_embeddings = model_output[0] #First element of model_output contains all token embeddings
|
| 50 |
+
input_mask_expanded = attention_mask.unsqueeze(-1).expand(token_embeddings.size()).float()
|
| 51 |
+
return torch.sum(token_embeddings * input_mask_expanded, 1) / torch.clamp(input_mask_expanded.sum(1), min=1e-9)
|
| 52 |
+
|
| 53 |
+
|
| 54 |
+
# Sentences we want sentence embeddings for
|
| 55 |
+
sentences = ['This is an example sentence', 'Each sentence is converted']
|
| 56 |
+
|
| 57 |
+
# Load model from HuggingFace Hub
|
| 58 |
+
tokenizer = AutoTokenizer.from_pretrained('sentence-transformers/paraphrase-MiniLM-L6-v2')
|
| 59 |
+
model = AutoModel.from_pretrained('sentence-transformers/paraphrase-MiniLM-L6-v2')
|
| 60 |
+
|
| 61 |
+
# Tokenize sentences
|
| 62 |
+
encoded_input = tokenizer(sentences, padding=True, truncation=True, return_tensors='pt')
|
| 63 |
+
|
| 64 |
+
# Compute token embeddings
|
| 65 |
+
with torch.no_grad():
|
| 66 |
+
model_output = model(**encoded_input)
|
| 67 |
+
|
| 68 |
+
# Perform pooling. In this case, max pooling.
|
| 69 |
+
sentence_embeddings = mean_pooling(model_output, encoded_input['attention_mask'])
|
| 70 |
+
|
| 71 |
+
print("Sentence embeddings:")
|
| 72 |
+
print(sentence_embeddings)
|
| 73 |
+
```
|
| 74 |
+
|
| 75 |
+
|
| 76 |
+
|
| 77 |
+
## Full Model Architecture
|
| 78 |
+
```
|
| 79 |
+
SentenceTransformer(
|
| 80 |
+
(0): Transformer({'max_seq_length': 128, 'do_lower_case': False}) with Transformer model: BertModel
|
| 81 |
+
(1): Pooling({'word_embedding_dimension': 384, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False})
|
| 82 |
+
)
|
| 83 |
+
```
|
| 84 |
+
|
| 85 |
+
## Citing & Authors
|
| 86 |
+
|
| 87 |
+
This model was trained by [sentence-transformers](https://www.sbert.net/).
|
| 88 |
+
|
| 89 |
+
If you find this model helpful, feel free to cite our publication [Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks](https://arxiv.org/abs/1908.10084):
|
| 90 |
+
```bibtex
|
| 91 |
+
@inproceedings{reimers-2019-sentence-bert,
|
| 92 |
+
title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
|
| 93 |
+
author = "Reimers, Nils and Gurevych, Iryna",
|
| 94 |
+
booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
|
| 95 |
+
month = "11",
|
| 96 |
+
year = "2019",
|
| 97 |
+
publisher = "Association for Computational Linguistics",
|
| 98 |
+
url = "http://arxiv.org/abs/1908.10084",
|
| 99 |
+
}
|
| 100 |
+
```
|
checkpoint-48015/config.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"BertModel"
|
| 4 |
+
],
|
| 5 |
+
"attention_probs_dropout_prob": 0.1,
|
| 6 |
+
"classifier_dropout": null,
|
| 7 |
+
"dtype": "float32",
|
| 8 |
+
"gradient_checkpointing": false,
|
| 9 |
+
"hidden_act": "gelu",
|
| 10 |
+
"hidden_dropout_prob": 0.1,
|
| 11 |
+
"hidden_size": 384,
|
| 12 |
+
"initializer_range": 0.02,
|
| 13 |
+
"intermediate_size": 1536,
|
| 14 |
+
"layer_norm_eps": 1e-12,
|
| 15 |
+
"max_position_embeddings": 512,
|
| 16 |
+
"model_type": "bert",
|
| 17 |
+
"num_attention_heads": 12,
|
| 18 |
+
"num_hidden_layers": 6,
|
| 19 |
+
"pad_token_id": 0,
|
| 20 |
+
"position_embedding_type": "absolute",
|
| 21 |
+
"transformers_version": "4.56.0",
|
| 22 |
+
"type_vocab_size": 2,
|
| 23 |
+
"use_cache": true,
|
| 24 |
+
"vocab_size": 30522
|
| 25 |
+
}
|
checkpoint-48015/config_sentence_transformers.json
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"__version__": {
|
| 3 |
+
"sentence_transformers": "5.1.0",
|
| 4 |
+
"transformers": "4.56.0",
|
| 5 |
+
"pytorch": "2.8.0+cu128"
|
| 6 |
+
},
|
| 7 |
+
"model_type": "SentenceTransformer",
|
| 8 |
+
"prompts": {
|
| 9 |
+
"query": "",
|
| 10 |
+
"document": ""
|
| 11 |
+
},
|
| 12 |
+
"default_prompt_name": null,
|
| 13 |
+
"similarity_fn_name": "cosine"
|
| 14 |
+
}
|
checkpoint-48015/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:98ff1fe03f1dd35bf254095593c7094a6b546e08e200d54eeb581817141d7f1e
|
| 3 |
+
size 90864192
|
checkpoint-48015/modules.json
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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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 |
+
{
|
| 3 |
+
"idx": 0,
|
| 4 |
+
"name": "0",
|
| 5 |
+
"path": "",
|
| 6 |
+
"type": "sentence_transformers.models.Transformer"
|
| 7 |
+
},
|
| 8 |
+
{
|
| 9 |
+
"idx": 1,
|
| 10 |
+
"name": "1",
|
| 11 |
+
"path": "1_Pooling",
|
| 12 |
+
"type": "sentence_transformers.models.Pooling"
|
| 13 |
+
}
|
| 14 |
+
]
|
checkpoint-48015/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:76eb87cae5a17784e0f901f841fe782b6a7361ee0d9e870063f75152e2bfe2a2
|
| 3 |
+
size 180609611
|
checkpoint-48015/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:96808302dd01dc047c9d2f369f30c929f608464dbe5e5f88ae66b614564d7835
|
| 3 |
+
size 14645
|
checkpoint-48015/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c631a83d20d6a3b913e91ee202d4e6f001a583a1251d27426f13083bacf22d6f
|
| 3 |
+
size 1465
|
checkpoint-48015/sentence_bert_config.json
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"max_seq_length": 128,
|
| 3 |
+
"do_lower_case": false
|
| 4 |
+
}
|
checkpoint-48015/special_tokens_map.json
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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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 |
+
"cls_token": {
|
| 3 |
+
"content": "[CLS]",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"mask_token": {
|
| 10 |
+
"content": "[MASK]",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": {
|
| 17 |
+
"content": "[PAD]",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"sep_token": {
|
| 24 |
+
"content": "[SEP]",
|
| 25 |
+
"lstrip": false,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
},
|
| 30 |
+
"unk_token": {
|
| 31 |
+
"content": "[UNK]",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": false,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false
|
| 36 |
+
}
|
| 37 |
+
}
|
checkpoint-48015/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-48015/tokenizer_config.json
ADDED
|
@@ -0,0 +1,58 @@
|
|
|
|
|
|
|
|
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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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|
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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 |
+
"added_tokens_decoder": {
|
| 3 |
+
"0": {
|
| 4 |
+
"content": "[PAD]",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"100": {
|
| 12 |
+
"content": "[UNK]",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
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|
| 19 |
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| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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"102": {
|
| 28 |
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|
| 29 |
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|
| 30 |
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"normalized": false,
|
| 31 |
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|
| 32 |
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|
| 33 |
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"special": true
|
| 34 |
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|
| 35 |
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"103": {
|
| 36 |
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"content": "[MASK]",
|
| 37 |
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|
| 38 |
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"normalized": false,
|
| 39 |
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"rstrip": false,
|
| 40 |
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"single_word": false,
|
| 41 |
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"special": true
|
| 42 |
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}
|
| 43 |
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},
|
| 44 |
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"clean_up_tokenization_spaces": false,
|
| 45 |
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"cls_token": "[CLS]",
|
| 46 |
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"do_basic_tokenize": true,
|
| 47 |
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"do_lower_case": true,
|
| 48 |
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"extra_special_tokens": {},
|
| 49 |
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"mask_token": "[MASK]",
|
| 50 |
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"model_max_length": 128,
|
| 51 |
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"never_split": null,
|
| 52 |
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"pad_token": "[PAD]",
|
| 53 |
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"sep_token": "[SEP]",
|
| 54 |
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|
| 55 |
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"tokenize_chinese_chars": true,
|
| 56 |
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"tokenizer_class": "BertTokenizer",
|
| 57 |
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"unk_token": "[UNK]"
|
| 58 |
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|
checkpoint-48015/trainer_state.json
ADDED
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|
checkpoint-48015/training_args.bin
ADDED
|
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checkpoint-48015/vocab.txt
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|
model.safetensors
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|
@@ -1,3 +1,3 @@
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model_head.pkl
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