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makhataei
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qa-persian-mdeberta-v3-base-squad2

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deberta-v2
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  1. README.md +101 -101
  2. model.safetensors +1 -1
  3. runs/Mar04_20-28-20_Software-AI/events.out.tfevents.1709571501.Software-AI.1931944.1 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -34,7 +34,7 @@ More information needed
34
  ### Training hyperparameters
35
 
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  The following hyperparameters were used during training:
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- - learning_rate: 0.001
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  - train_batch_size: 14
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  - eval_batch_size: 14
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  - seed: 42
@@ -46,106 +46,106 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 5.1521 | 1.0 | 17 | 5.1273 |
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- | 5.1418 | 2.0 | 34 | 5.1273 |
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- | 5.1243 | 3.0 | 51 | 5.1273 |
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- | 5.1485 | 4.0 | 68 | 5.1273 |
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- | 5.1442 | 5.0 | 85 | 5.1273 |
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- | 5.1335 | 6.0 | 102 | 5.1273 |
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- | 5.1176 | 7.0 | 119 | 5.1273 |
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- | 5.1212 | 8.0 | 136 | 5.1273 |
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- | 5.1338 | 9.0 | 153 | 5.1273 |
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- | 5.1235 | 10.0 | 170 | 5.1273 |
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- | 5.1201 | 11.0 | 187 | 5.1273 |
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- | 5.1343 | 12.0 | 204 | 5.1273 |
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- | 5.1418 | 13.0 | 221 | 5.1273 |
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- | 5.1582 | 14.0 | 238 | 5.1273 |
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- | 5.1265 | 15.0 | 255 | 5.1273 |
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- | 5.1306 | 16.0 | 272 | 5.1273 |
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- | 5.1504 | 17.0 | 289 | 5.1273 |
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- | 5.126 | 18.0 | 306 | 5.1273 |
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- | 5.1355 | 19.0 | 323 | 5.1273 |
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- | 5.1258 | 20.0 | 340 | 5.1273 |
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- | 5.1293 | 21.0 | 357 | 5.1273 |
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- | 5.1286 | 22.0 | 374 | 5.1273 |
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- | 5.1385 | 23.0 | 391 | 5.1273 |
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- | 5.1179 | 24.0 | 408 | 5.1273 |
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- | 5.1343 | 25.0 | 425 | 5.1273 |
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- | 5.1262 | 26.0 | 442 | 5.1273 |
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- | 5.1416 | 27.0 | 459 | 5.1273 |
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- | 5.122 | 28.0 | 476 | 5.1273 |
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- | 5.1239 | 29.0 | 493 | 5.1273 |
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- | 5.1074 | 30.0 | 510 | 5.1273 |
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- | 5.1494 | 31.0 | 527 | 5.1273 |
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- | 5.1486 | 32.0 | 544 | 5.1273 |
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- | 5.1156 | 33.0 | 561 | 5.1273 |
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- | 5.1468 | 34.0 | 578 | 5.1273 |
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- | 5.1299 | 35.0 | 595 | 5.1273 |
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- | 5.1453 | 36.0 | 612 | 5.1273 |
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- | 5.1395 | 37.0 | 629 | 5.1273 |
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- | 5.1329 | 38.0 | 646 | 5.1273 |
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- | 5.1306 | 39.0 | 663 | 5.1273 |
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- | 5.1239 | 40.0 | 680 | 5.1273 |
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- | 5.1288 | 41.0 | 697 | 5.1273 |
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- | 5.1173 | 42.0 | 714 | 5.1273 |
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- | 5.1428 | 43.0 | 731 | 5.1273 |
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- | 5.1489 | 44.0 | 748 | 5.1273 |
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- | 5.1511 | 45.0 | 765 | 5.1273 |
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- | 5.139 | 46.0 | 782 | 5.1273 |
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- | 5.1592 | 47.0 | 799 | 5.1273 |
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- | 5.1283 | 48.0 | 816 | 5.1273 |
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- | 5.1264 | 49.0 | 833 | 5.1273 |
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- | 5.1115 | 50.0 | 850 | 5.1273 |
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- | 5.1425 | 51.0 | 867 | 5.1273 |
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- | 5.1453 | 52.0 | 884 | 5.1273 |
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- | 5.1454 | 53.0 | 901 | 5.1273 |
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- | 5.1414 | 54.0 | 918 | 5.1273 |
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- | 5.1271 | 55.0 | 935 | 5.1273 |
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- | 5.1452 | 56.0 | 952 | 5.1273 |
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- | 5.1349 | 57.0 | 969 | 5.1273 |
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- | 5.1177 | 58.0 | 986 | 5.1273 |
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- | 5.1225 | 59.0 | 1003 | 5.1273 |
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- | 5.1333 | 60.0 | 1020 | 5.1273 |
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- | 5.1233 | 61.0 | 1037 | 5.1273 |
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- | 5.1245 | 62.0 | 1054 | 5.1273 |
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- | 5.1263 | 63.0 | 1071 | 5.1273 |
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- | 5.1287 | 64.0 | 1088 | 5.1273 |
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- | 5.1498 | 65.0 | 1105 | 5.1273 |
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- | 5.13 | 66.0 | 1122 | 5.1273 |
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- | 5.1369 | 67.0 | 1139 | 5.1273 |
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- | 5.1395 | 68.0 | 1156 | 5.1273 |
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- | 5.1081 | 69.0 | 1173 | 5.1273 |
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- | 5.1349 | 70.0 | 1190 | 5.1273 |
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- | 5.1594 | 71.0 | 1207 | 5.1273 |
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- | 5.1488 | 72.0 | 1224 | 5.1273 |
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- | 5.1446 | 73.0 | 1241 | 5.1273 |
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- | 5.1375 | 74.0 | 1258 | 5.1273 |
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- | 5.1314 | 75.0 | 1275 | 5.1273 |
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- | 5.1333 | 76.0 | 1292 | 5.1273 |
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- | 5.1316 | 77.0 | 1309 | 5.1273 |
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- | 5.1242 | 78.0 | 1326 | 5.1273 |
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- | 5.1338 | 79.0 | 1343 | 5.1273 |
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- | 5.1415 | 80.0 | 1360 | 5.1273 |
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- | 5.1374 | 81.0 | 1377 | 5.1273 |
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- | 5.1467 | 82.0 | 1394 | 5.1273 |
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- | 5.099 | 83.0 | 1411 | 5.1273 |
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- | 5.1383 | 84.0 | 1428 | 5.1273 |
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- | 5.1373 | 85.0 | 1445 | 5.1273 |
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- | 5.1397 | 86.0 | 1462 | 5.1273 |
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- | 5.142 | 87.0 | 1479 | 5.1273 |
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- | 5.1188 | 88.0 | 1496 | 5.1273 |
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- | 5.1465 | 89.0 | 1513 | 5.1273 |
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- | 5.1125 | 90.0 | 1530 | 5.1273 |
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- | 5.1256 | 91.0 | 1547 | 5.1273 |
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- | 5.1382 | 92.0 | 1564 | 5.1273 |
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- | 5.1299 | 93.0 | 1581 | 5.1273 |
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- | 5.1386 | 94.0 | 1598 | 5.1273 |
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- | 5.1302 | 95.0 | 1615 | 5.1273 |
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- | 5.1302 | 96.0 | 1632 | 5.1273 |
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- | 5.1253 | 97.0 | 1649 | 5.1273 |
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- | 5.1239 | 98.0 | 1666 | 5.1273 |
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- | 5.1175 | 99.0 | 1683 | 5.1273 |
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- | 5.1354 | 100.0 | 1700 | 5.1273 |
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  ### Framework versions
 
34
  ### Training hyperparameters
35
 
36
  The following hyperparameters were used during training:
37
+ - learning_rate: 0.0005
38
  - train_batch_size: 14
39
  - eval_batch_size: 14
40
  - seed: 42
 
46
 
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  | Training Loss | Epoch | Step | Validation Loss |
48
  |:-------------:|:-----:|:----:|:---------------:|
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+ | 5.111 | 1.0 | 17 | 5.1273 |
50
+ | 5.1193 | 2.0 | 34 | 5.1273 |
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+ | 5.1078 | 3.0 | 51 | 5.1273 |
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+ | 5.1228 | 4.0 | 68 | 5.1273 |
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+ | 5.1136 | 5.0 | 85 | 5.1273 |
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+ | 5.0927 | 6.0 | 102 | 5.1273 |
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+ | 5.0957 | 7.0 | 119 | 5.1273 |
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+ | 5.095 | 8.0 | 136 | 5.1273 |
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+ | 5.0955 | 9.0 | 153 | 5.1273 |
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+ | 5.0885 | 10.0 | 170 | 5.1273 |
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+ | 5.0845 | 11.0 | 187 | 5.1273 |
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+ | 5.0957 | 12.0 | 204 | 5.1273 |
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+ | 5.1226 | 13.0 | 221 | 5.1273 |
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+ | 5.1309 | 14.0 | 238 | 5.1273 |
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+ | 5.0945 | 15.0 | 255 | 5.1273 |
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+ | 5.1088 | 16.0 | 272 | 5.1273 |
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+ | 5.1217 | 17.0 | 289 | 5.1273 |
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+ | 5.106 | 18.0 | 306 | 5.1273 |
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+ | 5.1087 | 19.0 | 323 | 5.1273 |
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+ | 5.0938 | 20.0 | 340 | 5.1273 |
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+ | 5.0991 | 21.0 | 357 | 5.1273 |
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+ | 5.1055 | 22.0 | 374 | 5.1273 |
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+ | 5.111 | 23.0 | 391 | 5.1273 |
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+ | 5.0891 | 24.0 | 408 | 5.1273 |
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+ | 5.0975 | 25.0 | 425 | 5.1273 |
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+ | 5.1118 | 26.0 | 442 | 5.1273 |
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+ | 5.1243 | 27.0 | 459 | 5.1273 |
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+ | 5.0983 | 28.0 | 476 | 5.1273 |
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+ | 5.0957 | 29.0 | 493 | 5.1273 |
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+ | 5.0902 | 30.0 | 510 | 5.1273 |
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+ | 5.1136 | 31.0 | 527 | 5.1273 |
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+ | 5.1265 | 32.0 | 544 | 5.1273 |
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+ | 5.0934 | 33.0 | 561 | 5.1273 |
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+ | 5.1181 | 34.0 | 578 | 5.1273 |
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+ | 5.1073 | 35.0 | 595 | 5.1273 |
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+ | 5.1229 | 36.0 | 612 | 5.1273 |
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+ | 5.1245 | 37.0 | 629 | 5.1273 |
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+ | 5.1194 | 38.0 | 646 | 5.1273 |
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+ | 5.1061 | 39.0 | 663 | 5.1273 |
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+ | 5.1074 | 40.0 | 680 | 5.1273 |
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+ | 5.1171 | 41.0 | 697 | 5.1273 |
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+ | 5.0937 | 42.0 | 714 | 5.1273 |
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+ | 5.1348 | 43.0 | 731 | 5.1273 |
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+ | 5.1332 | 44.0 | 748 | 5.1273 |
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+ | 5.1284 | 45.0 | 765 | 5.1273 |
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+ | 5.1244 | 46.0 | 782 | 5.1273 |
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+ | 5.1383 | 47.0 | 799 | 5.1273 |
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+ | 5.1139 | 48.0 | 816 | 5.1273 |
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+ | 5.1148 | 49.0 | 833 | 5.1273 |
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+ | 5.1059 | 50.0 | 850 | 5.1273 |
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+ | 5.1214 | 51.0 | 867 | 5.1273 |
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+ | 5.1363 | 52.0 | 884 | 5.1273 |
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+ | 5.1318 | 53.0 | 901 | 5.1273 |
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+ | 5.1278 | 54.0 | 918 | 5.1273 |
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+ | 5.1175 | 55.0 | 935 | 5.1273 |
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+ | 5.1292 | 56.0 | 952 | 5.1273 |
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+ | 5.1272 | 57.0 | 969 | 5.1273 |
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+ | 5.1151 | 58.0 | 986 | 5.1273 |
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+ | 5.1071 | 59.0 | 1003 | 5.1273 |
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+ | 5.1274 | 60.0 | 1020 | 5.1273 |
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+ | 5.1197 | 61.0 | 1037 | 5.1273 |
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+ | 5.127 | 62.0 | 1054 | 5.1273 |
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+ | 5.1143 | 63.0 | 1071 | 5.1273 |
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+ | 5.1158 | 64.0 | 1088 | 5.1273 |
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+ | 5.1444 | 65.0 | 1105 | 5.1273 |
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+ | 5.1225 | 66.0 | 1122 | 5.1273 |
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+ | 5.1298 | 67.0 | 1139 | 5.1273 |
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+ | 5.1308 | 68.0 | 1156 | 5.1273 |
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+ | 5.0992 | 69.0 | 1173 | 5.1273 |
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+ | 5.1287 | 70.0 | 1190 | 5.1273 |
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+ | 5.1615 | 71.0 | 1207 | 5.1273 |
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+ | 5.1434 | 72.0 | 1224 | 5.1273 |
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+ | 5.1388 | 73.0 | 1241 | 5.1273 |
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+ | 5.1334 | 74.0 | 1258 | 5.1273 |
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+ | 5.1329 | 75.0 | 1275 | 5.1273 |
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+ | 5.1276 | 76.0 | 1292 | 5.1273 |
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+ | 5.1257 | 77.0 | 1309 | 5.1273 |
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+ | 5.1174 | 78.0 | 1326 | 5.1273 |
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+ | 5.1257 | 79.0 | 1343 | 5.1273 |
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+ | 5.141 | 80.0 | 1360 | 5.1273 |
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+ | 5.1339 | 81.0 | 1377 | 5.1273 |
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+ | 5.1455 | 82.0 | 1394 | 5.1273 |
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+ | 5.0912 | 83.0 | 1411 | 5.1273 |
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+ | 5.1391 | 84.0 | 1428 | 5.1273 |
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+ | 5.1367 | 85.0 | 1445 | 5.1273 |
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+ | 5.1402 | 86.0 | 1462 | 5.1273 |
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+ | 5.1413 | 87.0 | 1479 | 5.1273 |
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+ | 5.1176 | 88.0 | 1496 | 5.1273 |
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+ | 5.1492 | 89.0 | 1513 | 5.1273 |
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+ | 5.1104 | 90.0 | 1530 | 5.1273 |
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+ | 5.1255 | 91.0 | 1547 | 5.1273 |
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+ | 5.1406 | 92.0 | 1564 | 5.1273 |
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+ | 5.1245 | 93.0 | 1581 | 5.1273 |
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+ | 5.1398 | 94.0 | 1598 | 5.1273 |
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+ | 5.1293 | 95.0 | 1615 | 5.1273 |
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+ | 5.1343 | 96.0 | 1632 | 5.1273 |
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+ | 5.1222 | 97.0 | 1649 | 5.1273 |
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+ | 5.1238 | 98.0 | 1666 | 5.1273 |
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+ | 5.1221 | 99.0 | 1683 | 5.1273 |
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+ | 5.1336 | 100.0 | 1700 | 5.1273 |
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  ### Framework versions
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