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cynthiachan
/
finetune-electra

Token Classification
Transformers
PyTorch
electra
Generated from Trainer
Inference Endpoints
Model card Files Community

training

This model is a fine-tuned version of google/electra-base-discriminator on the cynthiachan/FeedRef2022 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0884
  • Attackid Precision: 0.7429
  • Attackid Recall: 1.0
  • Attackid F1: 0.8525
  • Attackid Number: 52
  • Bitcoinaddr Precision: 0.875
  • Bitcoinaddr Recall: 1.0
  • Bitcoinaddr F1: 0.9333
  • Bitcoinaddr Number: 7
  • Cve Precision: 0.9118
  • Cve Recall: 0.9538
  • Cve F1: 0.9323
  • Cve Number: 65
  • Defenderthreat Precision: 0.7143
  • Defenderthreat Recall: 0.7143
  • Defenderthreat F1: 0.7143
  • Defenderthreat Number: 7
  • Domain Precision: 0.9029
  • Domain Recall: 0.9029
  • Domain F1: 0.9029
  • Domain Number: 206
  • Email Precision: 0.8913
  • Email Recall: 0.9535
  • Email F1: 0.9213
  • Email Number: 43
  • Filepath Precision: 0.8909
  • Filepath Recall: 0.9129
  • Filepath F1: 0.9018
  • Filepath Number: 1654
  • Fingerprint Precision: 0.0
  • Fingerprint Recall: 0.0
  • Fingerprint F1: 0.0
  • Fingerprint Number: 2
  • Hostname Precision: 0.8679
  • Hostname Recall: 0.9583
  • Hostname F1: 0.9109
  • Hostname Number: 144
  • Ipv4 Precision: 0.9497
  • Ipv4 Recall: 0.9942
  • Ipv4 F1: 0.9714
  • Ipv4 Number: 171
  • Ipv6 Precision: 0.75
  • Ipv6 Recall: 1.0
  • Ipv6 F1: 0.8571
  • Ipv6 Number: 3
  • Md5 Precision: 0.8503
  • Md5 Recall: 0.9715
  • Md5 F1: 0.9069
  • Md5 Number: 421
  • Sha1 Precision: 0.3333
  • Sha1 Recall: 0.1224
  • Sha1 F1: 0.1791
  • Sha1 Number: 49
  • Sha256 Precision: 0.8954
  • Sha256 Recall: 0.9939
  • Sha256 F1: 0.9421
  • Sha256 Number: 491
  • Uri Precision: 0.5455
  • Uri Recall: 0.5455
  • Uri F1: 0.5455
  • Uri Number: 11
  • Overall Precision: 0.8816
  • Overall Recall: 0.9269
  • Overall F1: 0.9037
  • Overall Accuracy: 0.9764

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 5e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Training Loss Epoch Step Attackid F1 Attackid Number Attackid Precision Attackid Recall Bitcoinaddr F1 Bitcoinaddr Number Bitcoinaddr Precision Bitcoinaddr Recall Cve F1 Cve Number Cve Precision Cve Recall Defenderthreat F1 Defenderthreat Number Defenderthreat Precision Defenderthreat Recall Domain F1 Domain Number Domain Precision Domain Recall Email F1 Email Number Email Precision Email Recall Filepath F1 Filepath Number Filepath Precision Filepath Recall Fingerprint F1 Fingerprint Number Fingerprint Precision Fingerprint Recall Hostname F1 Hostname Number Hostname Precision Hostname Recall Ipv4 F1 Ipv4 Number Ipv4 Precision Ipv4 Recall Ipv6 F1 Ipv6 Number Ipv6 Precision Ipv6 Recall Validation Loss Md5 F1 Md5 Number Md5 Precision Md5 Recall Overall Accuracy Overall F1 Overall Precision Overall Recall Sha1 F1 Sha1 Number Sha1 Precision Sha1 Recall Sha256 F1 Sha256 Number Sha256 Precision Sha256 Recall Uri F1 Uri Number Uri Precision Uri Recall
0.4838 0.04 500 0.0 52 0.0 0.0 0.0 7 0.0 0.0 0.0 65 0.0 0.0 0.0 7 0.0 0.0 0.0 206 0.0 0.0 0.0 43 0.0 0.0 0.4518 1654 0.3605 0.6052 0.0 2 0.0 0.0 0.0 144 0.0 0.0 0.0 171 0.0 0.0 0.0 3 0.0 0.0 0.3340 0.5549 421 0.4253 0.7981 0.9215 0.4469 0.3813 0.5397 0.0 49 0.0 0.0 0.6464 491 0.4946 0.9328 0.0 11 0.0 0.0
0.2922 0.07 1000 0.0 52 0.0 0.0 0.0 7 0.0 0.0 0.0 65 0.0 0.0 0.0 7 0.0 0.0 0.0 206 0.0 0.0 0.0 43 0.0 0.0 0.3753 1654 0.3452 0.4111 0.0 2 0.0 0.0 0.0 144 0.0 0.0 0.0 171 0.0 0.0 0.0 3 0.0 0.0 0.3040 0.5829 421 0.4502 0.8266 0.9316 0.4377 0.4315 0.4441 0.0 49 0.0 0.0 0.7682 491 0.6622 0.9145 0.0 11 0.0 0.0
0.2461 0.11 1500 0.0 52 0.0 0.0 0.0 7 0.0 0.0 0.4380 65 0.4167 0.4615 0.0 7 0.0 0.0 0.0 206 0.0 0.0 0.0 43 0.0 0.0 0.5587 1654 0.4524 0.7304 0.0 2 0.0 0.0 0.1799 144 0.1429 0.2431 0.7196 171 0.6570 0.7953 0.0 3 0.0 0.0 0.2397 0.6929 421 0.6417 0.7530 0.9433 0.5597 0.4860 0.6597 0.0 49 0.0 0.0 0.7423 491 0.6078 0.9532 0.0 11 0.0 0.0
0.2191 0.15 2000 0.2020 52 0.2128 0.1923 0.0 7 0.0 0.0 0.7561 65 0.6263 0.9538 0.0 7 0.0 0.0 0.2556 206 0.1842 0.4175 0.0 43 0.0 0.0 0.6178 1654 0.5266 0.7473 0.0 2 0.0 0.0 0.0138 144 0.0138 0.0139 0.6541 171 0.5472 0.8129 0.0 3 0.0 0.0 0.1817 0.4803 421 0.3714 0.6793 0.9474 0.5668 0.4805 0.6909 0.0 49 0.0 0.0 0.8332 491 0.7294 0.9715 0.0 11 0.0 0.0
0.2037 0.19 2500 0.2642 52 0.2593 0.2692 0.0 7 0.0 0.0 0.6310 65 0.5146 0.8154 0.0 7 0.0 0.0 0.5358 206 0.7478 0.4175 0.0 43 0.0 0.0 0.6421 1654 0.6171 0.6693 0.0 2 0.0 0.0 0.4279 144 0.3333 0.5972 0.4890 171 0.3720 0.7135 0.0 3 0.0 0.0 0.2241 0.6914 421 0.5759 0.8646 0.9481 0.6376 0.5895 0.6942 0.0 49 0.0 0.0 0.8488 491 0.7536 0.9715 0.0 11 0.0 0.0
0.2001 0.22 3000 0.6984 52 0.5946 0.8462 0.0 7 0.0 0.0 0.7394 65 0.61 0.9385 0.0 7 0.0 0.0 0.5233 206 0.4816 0.5728 0.0 43 0.0 0.0 0.6453 1654 0.5858 0.7183 0.0 2 0.0 0.0 0.7219 144 0.6899 0.7569 0.7003 171 0.6408 0.7719 0.0 3 0.0 0.0 0.1874 0.7059 421 0.5815 0.8979 0.9516 0.6627 0.5976 0.7438 0.0 49 0.0 0.0 0.8346 491 0.7749 0.9043 0.0 11 0.0 0.0
0.1862 0.26 3500 0.6813 52 0.7949 0.5962 0.0 7 0.0 0.0 0.5286 65 0.3704 0.9231 0.0 7 0.0 0.0 0.6460 206 0.6906 0.6068 0.0 43 0.0 0.0 0.6589 1654 0.6483 0.6699 0.0 2 0.0 0.0 0.5817 144 0.4449 0.8403 0.7288 171 0.7049 0.7544 0.0 3 0.0 0.0 0.2125 0.7755 421 0.6895 0.8860 0.9491 0.6779 0.6292 0.7348 0.2609 49 0.1778 0.4898 0.8262 491 0.7232 0.9633 0.0 11 0.0 0.0
0.1909 0.3 4000 0.7167 52 0.6324 0.8269 0.0 7 0.0 0.0 0.7152 65 0.6279 0.8308 0.0 7 0.0 0.0 0.5940 206 0.6770 0.5291 0.0 43 0.0 0.0 0.6678 1654 0.6493 0.6874 0.0 2 0.0 0.0 0.6475 144 0.5188 0.8611 0.6435 171 0.5121 0.8655 0.0 3 0.0 0.0 0.1947 0.6991 421 0.6817 0.7173 0.9556 0.6856 0.6552 0.7189 0.0 49 0.0 0.0 0.8713 491 0.7940 0.9654 0.0 11 0.0 0.0
0.1851 0.34 4500 0.6875 52 0.5789 0.8462 0.0 7 0.0 0.0 0.8267 65 0.7294 0.9538 0.0 7 0.0 0.0 0.6075 206 0.5592 0.6650 0.0 43 0.0 0.0 0.6912 1654 0.6248 0.7733 0.0 2 0.0 0.0 0.7442 144 0.7134 0.7778 0.8380 171 0.8021 0.8772 0.0 3 0.0 0.0 0.1724 0.8067 421 0.7616 0.8575 0.9562 0.7281 0.6768 0.7877 0.0 49 0.0 0.0 0.8756 491 0.7997 0.9674 0.0 11 0.0 0.0
0.1612 0.37 5000 0.6711 52 0.51 0.9808 0.0 7 0.0 0.0 0.7006 65 0.5536 0.9538 0.0 7 0.0 0.0 0.6253 206 0.5451 0.7330 0.0 43 0.0 0.0 0.6994 1654 0.6089 0.8216 0.0 2 0.0 0.0 0.6373 144 0.4924 0.9028 0.7816 171 0.6680 0.9415 0.0 3 0.0 0.0 0.1733 0.7064 421 0.5813 0.9002 0.9513 0.7002 0.6031 0.8346 0.0 49 0.0 0.0 0.8180 491 0.7 0.9837 0.0 11 0.0 0.0
0.1593 0.41 5500 0.7969 52 0.6711 0.9808 0.0 7 0.0 0.0 0.8158 65 0.7126 0.9538 0.0 7 0.0 0.0 0.7007 206 0.6711 0.7330 0.0 43 0.0 0.0 0.7194 1654 0.6983 0.7418 0.0 2 0.0 0.0 0.7873 144 0.7251 0.8611 0.8845 171 0.8533 0.9181 0.0 3 0.0 0.0 0.1577 0.8013 421 0.725 0.8955 0.9599 0.7550 0.7259 0.7865 0.0 49 0.0 0.0 0.8964 491 0.8475 0.9511 0.0 11 0.0 0.0
0.1677 0.45 6000 0.8 52 0.6667 1.0 0.0 7 0.0 0.0 0.8378 65 0.7470 0.9538 0.0 7 0.0 0.0 0.6792 206 0.5949 0.7913 0.0 43 0.0 0.0 0.7040 1654 0.6612 0.7527 0.0 2 0.0 0.0 0.7892 144 0.6968 0.9097 0.8943 171 0.8333 0.9649 0.0 3 0.0 0.0 0.1656 0.7197 421 0.6507 0.8052 0.9576 0.7297 0.6752 0.7937 0.0 49 0.0 0.0 0.8496 491 0.7477 0.9837 0.0 11 0.0 0.0
0.1461 0.49 6500 0.7723 52 0.7959 0.75 0.0 7 0.0 0.0 0.8252 65 0.7564 0.9077 0.0 7 0.0 0.0 0.7281 206 0.7097 0.7476 0.5185 43 0.4308 0.6512 0.6906 1654 0.6619 0.7219 0.0 2 0.0 0.0 0.7188 144 0.6534 0.7986 0.7886 171 0.7709 0.8070 0.0 3 0.0 0.0 0.1581 0.7582 421 0.7055 0.8195 0.9597 0.7316 0.6986 0.7679 0.0 49 0.0 0.0 0.8844 491 0.8047 0.9817 0.0 11 0.0 0.0
0.1524 0.52 7000 0.8361 52 0.7286 0.9808 0.0 7 0.0 0.0 0.8079 65 0.7093 0.9385 0.0 7 0.0 0.0 0.7543 206 0.7716 0.7379 0.6538 43 0.5574 0.7907 0.7026 1654 0.6921 0.7134 0.0 2 0.0 0.0 0.8188 144 0.7922 0.8472 0.8176 171 0.8225 0.8129 0.0 3 0.0 0.0 0.1540 0.8055 421 0.7770 0.8361 0.9608 0.7532 0.7339 0.7736 0.0 49 0.0 0.0 0.8748 491 0.7889 0.9817 0.0 11 0.0 0.0
0.131 0.56 7500 0.7434 52 0.6885 0.8077 0.0 7 0.0 0.0 0.8276 65 0.75 0.9231 0.0 7 0.0 0.0 0.7913 206 0.7913 0.7913 0.5620 43 0.4359 0.7907 0.7632 1654 0.7282 0.8017 0.0 2 0.0 0.0 0.7251 144 0.6417 0.8333 0.8588 171 0.8466 0.8713 0.0 3 0.0 0.0 0.1551 0.8333 421 0.7923 0.8789 0.9594 0.7717 0.7216 0.8292 0.3644 49 0.2330 0.8367 0.8539 491 0.7947 0.9226 0.0 11 0.0 0.0
0.1221 0.6 8000 0.8264 52 0.7246 0.9615 0.0 7 0.0 0.0 0.6713 65 0.6154 0.7385 0.0 7 0.0 0.0 0.7599 206 0.7309 0.7913 0.6271 43 0.4933 0.8605 0.7447 1654 0.6826 0.8192 0.0 2 0.0 0.0 0.8333 144 0.8013 0.8681 0.8514 171 0.8324 0.8713 0.0 3 0.0 0.0 0.1619 0.7877 421 0.6931 0.9121 0.9620 0.7701 0.7117 0.8388 0.0 49 0.0 0.0 0.8773 491 0.7970 0.9756 0.0 11 0.0 0.0
0.1528 0.64 8500 0.8785 52 0.8545 0.9038 0.0 7 0.0 0.0 0.8143 65 0.76 0.8769 0.0 7 0.0 0.0 0.7364 206 0.6923 0.7864 0.7222 43 0.6 0.9070 0.6920 1654 0.7415 0.6487 0.0 2 0.0 0.0 0.8228 144 0.7558 0.9028 0.8363 171 0.8363 0.8363 0.0 3 0.0 0.0 0.1630 0.8562 421 0.8067 0.9121 0.9601 0.7623 0.7663 0.7583 0.0 49 0.0 0.0 0.8985 491 0.8212 0.9919 0.0 11 0.0 0.0
0.1591 0.67 9000 0.8364 52 0.7931 0.8846 0.0 7 0.0 0.0 0.8435 65 0.7561 0.9538 0.0 7 0.0 0.0 0.7724 206 0.8162 0.7330 0.6804 43 0.6111 0.7674 0.7192 1654 0.7379 0.7013 0.0 2 0.0 0.0 0.8217 144 0.7588 0.8958 0.9123 171 0.9123 0.9123 0.0 3 0.0 0.0 0.1433 0.8062 421 0.7589 0.8599 0.9616 0.7673 0.7576 0.7772 0.0 49 0.0 0.0 0.8998 491 0.8262 0.9878 0.0299 11 0.0179 0.0909
0.1295 0.71 9500 0.8430 52 0.7391 0.9808 0.0 7 0.0 0.0 0.7898 65 0.6739 0.9538 0.0 7 0.0 0.0 0.7873 206 0.7931 0.7816 0.6491 43 0.5211 0.8605 0.7527 1654 0.7046 0.8077 0.0 2 0.0 0.0 0.7479 144 0.6316 0.9167 0.8827 171 0.8449 0.9240 0.0 3 0.0 0.0 0.1468 0.7941 421 0.7119 0.8979 0.9601 0.7733 0.7091 0.8503 0.4943 49 0.344 0.8776 0.8864 491 0.8283 0.9532 0.0784 11 0.05 0.1818
0.1367 0.75 10000 0.784 52 0.6712 0.9423 0.0 7 0.0 0.0 0.8333 65 0.7595 0.9231 0.0 7 0.0 0.0 0.8019 206 0.7981 0.8058 0.7308 43 0.6230 0.8837 0.7757 1654 0.7819 0.7696 0.0 2 0.0 0.0 0.8505 144 0.8153 0.8889 0.9258 171 0.9398 0.9123 0.0 3 0.0 0.0 0.1565 0.7971 421 0.8010 0.7933 0.9633 0.8010 0.7937 0.8085 0.0 49 0.0 0.0 0.8915 491 0.8124 0.9878 0.0 11 0.0 0.0
0.133 0.79 10500 0.8125 52 0.6842 1.0 0.0 7 0.0 0.0 0.8414 65 0.7625 0.9385 0.0 7 0.0 0.0 0.8092 206 0.7686 0.8544 0.7170 43 0.6032 0.8837 0.7543 1654 0.6934 0.8271 0.0 2 0.0 0.0 0.8553 144 0.8125 0.9028 0.8958 171 0.8641 0.9298 0.0 3 0.0 0.0 0.1432 0.8186 421 0.7660 0.8789 0.9631 0.7788 0.7204 0.8476 0.0 49 0.0 0.0 0.8696 491 0.8113 0.9369 0.1020 11 0.0575 0.4545
0.1322 0.82 11000 0.8793 52 0.7969 0.9808 0.0 7 0.0 0.0 0.8108 65 0.7229 0.9231 0.0 7 0.0 0.0 0.7773 206 0.7308 0.8301 0.8 43 0.7018 0.9302 0.7871 1654 0.7350 0.8470 0.0 2 0.0 0.0 0.8036 144 0.7031 0.9375 0.9452 171 0.9318 0.9591 0.0 3 0.0 0.0 0.1262 0.8238 421 0.7447 0.9216 0.9678 0.8081 0.7552 0.8689 0.0 49 0.0 0.0 0.8881 491 0.8136 0.9776 0.0 11 0.0 0.0
0.1203 0.86 11500 0.8246 52 0.7581 0.9038 0.1538 7 0.1667 0.1429 0.0380 65 0.0323 0.0462 0.0 7 0.0 0.0 0.7855 206 0.8398 0.7379 0.7767 43 0.6667 0.9302 0.7845 1654 0.7177 0.8652 0.0 2 0.0 0.0 0.8632 144 0.8723 0.8542 0.9302 171 0.9249 0.9357 0.0 3 0.0 0.0 0.1293 0.8108 421 0.7179 0.9311 0.9637 0.7848 0.7303 0.8482 0.0 49 0.0 0.0 0.8605 491 0.7789 0.9613 0.0 11 0.0 0.0
0.1256 0.9 12000 0.7656 52 0.6447 0.9423 0.0 7 0.0 0.0 0.8026 65 0.7011 0.9385 0.0 7 0.0 0.0 0.8038 206 0.7925 0.8155 0.8454 43 0.7593 0.9535 0.7964 1654 0.7374 0.8658 0.0 2 0.0 0.0 0.8317 144 0.7925 0.875 0.8061 171 0.8365 0.7778 0.0 3 0.0 0.0 0.1337 0.8106 421 0.7341 0.9050 0.9656 0.8035 0.7511 0.8638 0.0 49 0.0 0.0 0.9072 491 0.8478 0.9756 0.1 11 0.0612 0.2727
0.1086 0.94 12500 0.7402 52 0.6267 0.9038 0.0 7 0.0 0.0 0.8841 65 0.8356 0.9385 0.0 7 0.0 0.0 0.6348 206 0.4895 0.9029 0.7664 43 0.6406 0.9535 0.7682 1654 0.7824 0.7545 0.0 2 0.0 0.0 0.7532 144 0.7073 0.8056 0.8500 171 0.8095 0.8947 0.0 3 0.0 0.0 0.1238 0.8212 421 0.7301 0.9382 0.9660 0.7841 0.7498 0.8217 0.0 49 0.0 0.0 0.9248 491 0.8679 0.9898 0.0 11 0.0 0.0
0.1293 0.97 13000 0.6753 52 0.5098 1.0 0.0 7 0.0 0.0 0.8435 65 0.7561 0.9538 0.0 7 0.0 0.0 0.8146 206 0.8814 0.7573 0.9130 43 0.8571 0.9767 0.8032 1654 0.7451 0.8712 0.0 2 0.0 0.0 0.8131 144 0.7702 0.8611 0.8947 171 0.8947 0.8947 0.0 3 0.0 0.0 0.1244 0.8307 421 0.8013 0.8622 0.9657 0.8167 0.7742 0.8641 0.0 49 0.0 0.0 0.8957 491 0.8250 0.9796 0.0 11 0.0 0.0
0.1241 1.01 13500 0.7313 52 0.5976 0.9423 0.6667 7 0.625 0.7143 0.8252 65 0.7564 0.9077 0.0 7 0.0 0.0 0.7291 206 0.6182 0.8883 0.7 43 0.5455 0.9767 0.7856 1654 0.7619 0.8108 0.0 2 0.0 0.0 0.7322 144 0.6036 0.9306 0.9116 171 0.8639 0.9649 0.0 3 0.0 0.0 0.1378 0.8284 421 0.7476 0.9287 0.9656 0.7927 0.7416 0.8515 0.0 49 0.0 0.0 0.8767 491 0.8206 0.9409 0.0667 11 0.0526 0.0909
0.1054 1.05 14000 0.8246 52 0.7581 0.9038 0.5714 7 0.5714 0.5714 0.8971 65 0.8592 0.9385 0.0 7 0.0 0.0 0.8244 206 0.8284 0.8204 0.8125 43 0.7358 0.9070 0.8384 1654 0.8242 0.8531 0.0 2 0.0 0.0 0.8771 144 0.8408 0.9167 0.9419 171 0.9364 0.9474 0.0 3 0.0 0.0 0.1249 0.8615 421 0.8016 0.9311 0.9682 0.8454 0.8217 0.8704 0.0 49 0.0 0.0 0.8803 491 0.8034 0.9735 0.0 11 0.0 0.0
0.1056 1.09 14500 0.9072 52 0.9778 0.8462 0.8571 7 0.8571 0.8571 0.8732 65 0.8052 0.9538 0.0 7 0.0 0.0 0.8067 206 0.7934 0.8204 0.8511 43 0.7843 0.9302 0.8215 1654 0.7854 0.8609 0.0 2 0.0 0.0 0.8428 144 0.7701 0.9306 0.9486 171 0.9274 0.9708 0.0 3 0.0 0.0 0.1260 0.8291 421 0.7534 0.9216 0.9661 0.8303 0.7811 0.8860 0.4719 49 0.3256 0.8571 0.8897 491 0.8281 0.9613 0.0 11 0.0 0.0
0.1116 1.12 15000 0.8247 52 0.8889 0.7692 0.0 7 0.0 0.0 0.7568 65 0.6747 0.8615 0.0 7 0.0 0.0 0.8198 206 0.8342 0.8058 0.8182 43 0.8 0.8372 0.8216 1654 0.8347 0.8089 0.0 2 0.0 0.0 0.8050 144 0.7356 0.8889 0.9593 171 0.9538 0.9649 0.0 3 0.0 0.0 0.1224 0.8476 421 0.7561 0.9644 0.9677 0.8337 0.8222 0.8455 0.0 49 0.0 0.0 0.9208 491 0.8752 0.9715 0.0 11 0.0 0.0
0.0975 1.16 15500 0.8364 52 0.7931 0.8846 0.0 7 0.0 0.0 0.3143 65 0.2933 0.3385 0.0 7 0.0 0.0 0.7268 206 0.7304 0.7233 0.7957 43 0.74 0.8605 0.8158 1654 0.7509 0.8930 0.0 2 0.0 0.0 0.8535 144 0.7882 0.9306 0.9352 171 0.9022 0.9708 0.0 3 0.0 0.0 0.1240 0.8531 421 0.7871 0.9311 0.9687 0.8185 0.7692 0.8746 0.0 49 0.0 0.0 0.9291 491 0.8770 0.9878 0.0588 11 0.0435 0.0909
0.1192 1.2 16000 0.8462 52 0.8462 0.8462 0.0 7 0.0 0.0 0.8116 65 0.7671 0.8615 0.0 7 0.0 0.0 0.8107 206 0.8994 0.7379 0.7955 43 0.7778 0.8140 0.8397 1654 0.8308 0.8489 0.0 2 0.0 0.0 0.8446 144 0.8224 0.8681 0.8443 171 0.7692 0.9357 0.0 3 0.0 0.0 0.1201 0.8310 421 0.7598 0.9169 0.9672 0.8356 0.8156 0.8566 0.0 49 0.0 0.0 0.8960 491 0.8171 0.9919 0.0 11 0.0 0.0
0.0867 1.24 16500 0.8491 52 0.8333 0.8654 0.5 7 0.4444 0.5714 0.8493 65 0.7654 0.9538 0.0 7 0.0 0.0 0.8235 206 0.8317 0.8155 0.8764 43 0.8478 0.9070 0.8426 1654 0.8250 0.8609 0.0 2 0.0 0.0 0.8552 144 0.8301 0.8819 0.9540 171 0.9379 0.9708 0.0 3 0.0 0.0 0.1170 0.8301 421 0.7982 0.8646 0.9691 0.8431 0.8193 0.8683 0.0 49 0.0 0.0 0.9117 491 0.8464 0.9878 0.1455 11 0.0909 0.3636
0.0997 1.27 17000 0.9273 52 0.8793 0.9808 0.4615 7 0.3158 0.8571 0.7470 65 0.6139 0.9538 0.0 7 0.0 0.0 0.7937 206 0.8721 0.7282 0.8889 43 0.8511 0.9302 0.8287 1654 0.7815 0.8821 0.0 2 0.0 0.0 0.8400 144 0.8077 0.875 0.8783 171 0.8019 0.9708 0.0 3 0.0 0.0 0.1082 0.8543 421 0.7876 0.9335 0.9676 0.8368 0.7948 0.8836 0.0 49 0.0 0.0 0.9275 491 0.8725 0.9898 0.0 11 0.0 0.0
0.1193 1.31 17500 0.7597 52 0.6364 0.9423 0.1667 7 0.2 0.1429 0.8435 65 0.7561 0.9538 0.0 7 0.0 0.0 0.8305 206 0.8408 0.8204 0.8889 43 0.8511 0.9302 0.8410 1654 0.7844 0.9063 0.0 2 0.0 0.0 0.8746 144 0.8144 0.9444 0.9366 171 0.8854 0.9942 0.0 3 0.0 0.0 0.1099 0.8435 421 0.7776 0.9216 0.9679 0.8319 0.7695 0.9053 0.1089 49 0.0719 0.2245 0.9196 491 0.8587 0.9898 0.0 11 0.0 0.0
0.1111 1.35 18000 0.8182 52 0.7759 0.8654 0.8750 7 0.7778 1.0 0.8267 65 0.7294 0.9538 0.0 7 0.0 0.0 0.8505 206 0.8198 0.8835 0.8817 43 0.82 0.9535 0.8304 1654 0.7952 0.8688 0.0 2 0.0 0.0 0.8202 144 0.7514 0.9028 0.8689 171 0.7752 0.9883 0.0 3 0.0 0.0 0.1014 0.8722 421 0.7852 0.9810 0.9702 0.8285 0.7715 0.8945 0.0 49 0.0 0.0 0.9166 491 0.8490 0.9959 0.0 11 0.0 0.0
0.1104 1.39 18500 0.8868 52 0.8704 0.9038 0.8571 7 0.8571 0.8571 0.9104 65 0.8841 0.9385 0.0 7 0.0 0.0 0.8403 206 0.8507 0.8301 0.8989 43 0.8696 0.9302 0.8186 1654 0.8161 0.8210 0.0 2 0.0 0.0 0.8682 144 0.8084 0.9375 0.9278 171 0.8836 0.9766 0.0 3 0.0 0.0 0.1038 0.8550 421 0.7853 0.9382 0.9711 0.8429 0.8244 0.8623 0.0 49 0.0 0.0 0.9216 491 0.8592 0.9939 0.0 11 0.0 0.0
0.0865 1.42 19000 0.7846 52 0.6538 0.9808 0.8571 7 0.8571 0.8571 0.7755 65 0.6951 0.8769 0.0 7 0.0 0.0 0.8765 206 0.8744 0.8786 0.8864 43 0.8667 0.9070 0.8394 1654 0.7790 0.9099 0.0 2 0.0 0.0 0.8932 144 0.8364 0.9583 0.9548 171 0.9235 0.9883 0.0 3 0.0 0.0 0.1109 0.8862 421 0.8215 0.9620 0.9677 0.8496 0.7931 0.9149 0.0 49 0.0 0.0 0.9276 491 0.8712 0.9919 0.1031 11 0.0581 0.4545
0.1138 1.46 19500 0.9107 52 0.85 0.9808 0.6250 7 0.5556 0.7143 0.8939 65 0.8806 0.9077 0.0 7 0.0 0.0 0.8419 206 0.8080 0.8786 0.8261 43 0.7755 0.8837 0.8348 1654 0.8044 0.8676 0.0 2 0.0 0.0 0.8824 144 0.8333 0.9375 0.9456 171 0.9270 0.9649 0.0 3 0.0 0.0 0.1022 0.8839 421 0.8337 0.9406 0.9710 0.8473 0.8093 0.8891 0.0 49 0.0 0.0 0.9322 491 0.8777 0.9939 0.1667 11 0.1081 0.3636
0.1199 1.5 20000 0.8793 52 0.7969 0.9808 0.9333 7 0.875 1.0 0.8921 65 0.8378 0.9538 0.0 7 0.0 0.0 0.8476 206 0.8318 0.8641 0.8602 43 0.8 0.9302 0.8380 1654 0.8184 0.8585 0.0 2 0.0 0.0 0.8662 144 0.8 0.9444 0.9057 171 0.84 0.9825 0.0 3 0.0 0.0 0.1024 0.8810 421 0.8091 0.9667 0.9701 0.8470 0.8077 0.8903 0.0 49 0.0 0.0 0.9349 491 0.8825 0.9939 0.0777 11 0.0435 0.3636
0.0921 1.54 20500 0.8762 52 0.8679 0.8846 0.7692 7 0.8333 0.7143 0.9323 65 0.9118 0.9538 0.0 7 0.0 0.0 0.8241 206 0.8182 0.8301 0.8043 43 0.7551 0.8605 0.8308 1654 0.8333 0.8283 0.0 2 0.0 0.0 0.8312 144 0.7557 0.9236 0.9162 171 0.8770 0.9591 0.0 3 0.0 0.0 0.1117 0.8518 421 0.7918 0.9216 0.9702 0.8307 0.8019 0.8617 0.0 49 0.0 0.0 0.9346 491 0.8852 0.9898 0.16 11 0.1026 0.3636
0.0958 1.57 21000 0.8387 52 0.7222 1.0 0.1538 7 0.1667 0.1429 0.9051 65 0.8611 0.9538 0.0 7 0.0 0.0 0.8333 206 0.8416 0.8252 0.8642 43 0.9211 0.8140 0.8512 1654 0.8093 0.8978 0.0 2 0.0 0.0 0.8318 144 0.7432 0.9444 0.9444 171 0.8995 0.9942 0.0 3 0.0 0.0 0.1141 0.8845 421 0.8169 0.9644 0.9704 0.8579 0.8162 0.9041 0.0 49 0.0 0.0 0.9354 491 0.8883 0.9878 0.1818 11 0.1136 0.4545
0.0986 1.61 21500 0.8293 52 0.7183 0.9808 0.8750 7 0.7778 1.0 0.8369 65 0.7763 0.9077 0.3226 7 0.2083 0.7143 0.8196 206 0.8736 0.7718 0.8333 43 0.7547 0.9302 0.8505 1654 0.8318 0.8700 0.0 2 0.0 0.0 0.8693 144 0.8210 0.9236 0.9507 171 0.9425 0.9591 0.2667 3 0.1667 0.6667 0.1108 0.8627 421 0.7968 0.9406 0.9708 0.8475 0.8125 0.8857 0.0 49 0.0 0.0 0.9446 491 0.9033 0.9898 0.5556 11 0.7143 0.4545
0.0959 1.65 22000 0.8189 52 0.6933 1.0 0.0 7 0.0 0.0 0.8421 65 0.8235 0.8615 0.0 7 0.0 0.0 0.8543 206 0.8693 0.8398 0.9195 43 0.9091 0.9302 0.8305 1654 0.8780 0.7878 0.0 2 0.0 0.0 0.8746 144 0.8144 0.9444 0.8689 171 0.8154 0.9298 0.3636 3 0.25 0.6667 0.1234 0.8681 421 0.8262 0.9145 0.9690 0.8460 0.8539 0.8382 0.0 49 0.0 0.0 0.9253 491 0.8833 0.9715 0.5556 11 0.7143 0.4545
0.0903 1.69 22500 0.8160 52 0.6986 0.9808 0.7143 7 0.7143 0.7143 0.8640 65 0.9 0.8308 0.0 7 0.0 0.0 0.8550 206 0.8657 0.8447 0.8352 43 0.7917 0.8837 0.8659 1654 0.8572 0.8748 0.0 2 0.0 0.0 0.8919 144 0.8684 0.9167 0.9595 171 0.9486 0.9708 0.0 3 0.0 0.0 0.1143 0.8739 421 0.8056 0.9549 0.9719 0.8719 0.8562 0.8882 0.0 49 0.0 0.0 0.9348 491 0.8955 0.9776 0.4545 11 0.4545 0.4545
0.1076 1.72 23000 0.8130 52 0.7042 0.9615 0.0 7 0.0 0.0 0.7559 65 0.7742 0.7385 0.0 7 0.0 0.0 0.8435 206 0.7915 0.9029 0.8632 43 0.7885 0.9535 0.8519 1654 0.8286 0.8767 0.0 2 0.0 0.0 0.8385 144 0.7584 0.9375 0.9570 171 0.9382 0.9766 0.0 3 0.0 0.0 0.1099 0.8731 421 0.8093 0.9477 0.9719 0.8572 0.8254 0.8915 0.0 49 0.0 0.0 0.9303 491 0.8759 0.9919 0.1739 11 0.1667 0.1818
0.0828 1.76 23500 0.8361 52 0.7286 0.9808 0.0 7 0.0 0.0 0.8806 65 0.8551 0.9077 0.0 7 0.0 0.0 0.8942 206 0.8857 0.9029 0.8387 43 0.78 0.9070 0.8791 1654 0.8749 0.8833 0.0 2 0.0 0.0 0.8544 144 0.8 0.9167 0.9201 171 0.8698 0.9766 0.0 3 0.0 0.0 0.0984 0.8652 421 0.8209 0.9145 0.9721 0.8750 0.8581 0.8927 0.0 49 0.0 0.0 0.9392 491 0.8919 0.9919 0.1739 11 0.1667 0.1818
0.0927 1.8 24000 0.8387 52 0.7222 1.0 0.8000 7 0.75 0.8571 0.8552 65 0.775 0.9538 0.0 7 0.0 0.0 0.8938 206 0.9095 0.8786 0.7143 43 0.7317 0.6977 0.8648 1654 0.8774 0.8525 0.0 2 0.0 0.0 0.8926 144 0.8636 0.9236 0.8819 171 0.8 0.9825 0.6 3 0.4286 1.0 0.1077 0.8870 421 0.8110 0.9786 0.9721 0.8674 0.8487 0.8870 0.0 49 0.0 0.0 0.9377 491 0.8859 0.9959 0.2286 11 0.1667 0.3636
0.0929 1.84 24500 0.8254 52 0.7027 1.0 0.9333 7 0.875 1.0 0.9630 65 0.9286 1.0 0.2222 7 0.1818 0.2857 0.8675 206 0.8612 0.8738 0.8936 43 0.8235 0.9767 0.8718 1654 0.8618 0.8821 0.0 2 0.0 0.0 0.8232 144 0.7337 0.9375 0.9568 171 0.9432 0.9708 0.0 3 0.0 0.0 0.0986 0.8726 421 0.8 0.9596 0.9725 0.8603 0.8225 0.9017 0.0 49 0.0 0.0 0.9324 491 0.8862 0.9837 0.4211 11 0.5 0.3636
0.0899 1.87 25000 0.8160 52 0.6986 0.9808 0.9333 7 0.875 1.0 0.9265 65 0.8873 0.9692 0.375 7 0.3333 0.4286 0.8852 206 0.8726 0.8981 0.8723 43 0.8039 0.9535 0.8776 1654 0.8605 0.8954 0.0 2 0.0 0.0 0.8919 144 0.8684 0.9167 0.9186 171 0.9133 0.9240 1.0 3 1.0 1.0 0.0998 0.8803 421 0.8063 0.9691 0.9742 0.8800 0.8532 0.9086 0.0 49 0.0 0.0 0.9345 491 0.8867 0.9878 0.3846 11 0.3333 0.4545
0.0862 1.91 25500 0.832 52 0.7123 1.0 0.9333 7 0.875 1.0 0.9104 65 0.8841 0.9385 0.4615 7 0.5 0.4286 0.8981 206 0.8981 0.8981 0.8421 43 0.7692 0.9302 0.8799 1654 0.8741 0.8857 0.0 2 0.0 0.0 0.8498 144 0.7870 0.9236 0.9560 171 0.9588 0.9532 1.0 3 1.0 1.0 0.1010 0.8925 421 0.8289 0.9667 0.9737 0.8825 0.8606 0.9056 0.0 49 0.0 0.0 0.9288 491 0.8701 0.9959 0.3077 11 0.2667 0.3636
0.1098 1.95 26000 0.8571 52 0.7612 0.9808 0.9333 7 0.875 1.0 0.8741 65 0.8429 0.9077 0.2222 7 0.1818 0.2857 0.8693 206 0.9010 0.8398 0.8696 43 0.8163 0.9302 0.8559 1654 0.8485 0.8634 0.0 2 0.0 0.0 0.8970 144 0.8599 0.9375 0.8877 171 0.8177 0.9708 0.0 3 0.0 0.0 0.0974 0.8852 421 0.8198 0.9620 0.9724 0.8671 0.8457 0.8897 0.0 49 0.0 0.0 0.9322 491 0.8777 0.9939 0.5556 11 0.7143 0.4545
0.0784 1.99 26500 0.7820 52 0.6420 1.0 0.8750 7 0.7778 1.0 0.9275 65 0.8767 0.9846 0.1818 7 0.1333 0.2857 0.9007 206 0.8986 0.9029 0.8842 43 0.8077 0.9767 0.8798 1654 0.8641 0.8960 0.0 2 0.0 0.0 0.8911 144 0.8491 0.9375 0.9494 171 0.9135 0.9883 0.0 3 0.0 0.0 0.1061 0.8891 421 0.8265 0.9620 0.9732 0.8834 0.8553 0.9134 0.0 49 0.0 0.0 0.9431 491 0.8956 0.9959 0.5 11 0.5556 0.4545
0.0825 2.02 27000 0.7820 52 0.6420 1.0 0.9333 7 0.875 1.0 0.8828 65 0.8 0.9846 0.0 7 0.0 0.0 0.8709 206 0.9101 0.8350 0.9231 43 0.875 0.9767 0.8773 1654 0.8523 0.9039 0.0 2 0.0 0.0 0.9017 144 0.8808 0.9236 0.9600 171 0.9385 0.9825 0.0 3 0.0 0.0 0.1070 0.8855 421 0.8185 0.9644 0.9725 0.8756 0.8420 0.9119 0.0 49 0.0 0.0 0.9457 491 0.9020 0.9939 0.2609 11 0.1714 0.5455
0.0852 2.06 27500 0.8387 52 0.7222 1.0 0.4000 7 0.375 0.4286 0.9333 65 0.9 0.9692 0.7273 7 1.0 0.5714 0.8867 206 0.8804 0.8932 0.8889 43 0.8511 0.9302 0.8816 1654 0.8854 0.8779 0.0 2 0.0 0.0 0.8469 144 0.7975 0.9028 0.9568 171 0.9432 0.9708 0.0 3 0.0 0.0 0.1072 0.8924 421 0.8528 0.9359 0.9732 0.8849 0.8742 0.8960 0.0 49 0.0 0.0 0.9421 491 0.8954 0.9939 0.3636 11 0.3636 0.3636
0.0812 2.1 28000 0.8254 52 0.7027 1.0 0.8000 7 0.75 0.8571 0.9078 65 0.8421 0.9846 0.6154 7 0.6667 0.5714 0.8845 206 0.8955 0.8738 0.8936 43 0.8235 0.9767 0.8763 1654 0.8309 0.9268 0.0 2 0.0 0.0 0.8851 144 0.8618 0.9097 0.9632 171 0.9341 0.9942 0.5 3 1.0 0.3333 0.1080 0.8852 421 0.8198 0.9620 0.9724 0.8814 0.8410 0.9257 0.0 49 0.0 0.0 0.9382 491 0.8917 0.9898 0.2703 11 0.1923 0.4545
0.0904 2.14 28500 0.8254 52 0.7027 1.0 0.8571 7 0.8571 0.8571 0.9254 65 0.8986 0.9538 0.6154 7 0.6667 0.5714 0.8916 206 0.905 0.8786 0.8723 43 0.8039 0.9535 0.8915 1654 0.8937 0.8894 0.0 2 0.0 0.0 0.8581 144 0.8012 0.9236 0.9570 171 0.9382 0.9766 0.2857 3 0.25 0.3333 0.0953 0.8962 421 0.8371 0.9644 0.9741 0.8907 0.8766 0.9053 0.0 49 0.0 0.0 0.9359 491 0.8942 0.9817 0.4762 11 0.5 0.4545
0.0826 2.17 29000 0.8254 52 0.7027 1.0 0.75 7 0.6667 0.8571 0.9333 65 0.9 0.9692 0.7273 7 1.0 0.5714 0.8943 206 0.9055 0.8835 0.9111 43 0.8723 0.9535 0.8828 1654 0.8567 0.9105 0.0 2 0.0 0.0 0.8608 144 0.7907 0.9444 0.9518 171 0.9231 0.9825 1.0 3 1.0 1.0 0.0983 0.8894 421 0.8252 0.9644 0.9735 0.8852 0.8535 0.9194 0.0 49 0.0 0.0 0.9382 491 0.8917 0.9898 0.4545 11 0.4545 0.4545
0.0766 2.21 29500 0.8197 52 0.7143 0.9615 0.6667 7 0.5 1.0 0.9403 65 0.9130 0.9692 0.6667 7 0.625 0.7143 0.8995 206 0.8868 0.9126 0.8723 43 0.8039 0.9535 0.8920 1654 0.8851 0.8990 0.0 2 0.0 0.0 0.8599 144 0.7941 0.9375 0.9711 171 0.96 0.9825 0.6667 3 0.5 1.0 0.1036 0.8869 421 0.8390 0.9406 0.9736 0.8910 0.8700 0.9131 0.0 49 0.0 0.0 0.9359 491 0.8827 0.9959 0.5263 11 0.625 0.4545
0.0847 2.25 30000 0.8226 52 0.7083 0.9808 0.9333 7 0.875 1.0 0.8652 65 0.8026 0.9385 0.6667 7 0.625 0.7143 0.9059 206 0.9242 0.8883 0.8864 43 0.8667 0.9070 0.8967 1654 0.8908 0.9027 0.0 2 0.0 0.0 0.9122 144 0.8882 0.9375 0.9625 171 0.9489 0.9766 1.0 3 1.0 1.0 0.0979 0.8914 421 0.8358 0.9549 0.9746 0.8979 0.8824 0.9140 0.0 49 0.0 0.0 0.9458 491 0.9006 0.9959 0.5882 11 0.8333 0.4545
0.0764 2.29 30500 0.8455 52 0.7324 1.0 0.7778 7 0.6364 1.0 0.9403 65 0.9130 0.9692 0.7692 7 0.8333 0.7143 0.9065 206 0.8957 0.9175 0.8454 43 0.7593 0.9535 0.8833 1654 0.8576 0.9105 0.0 2 0.0 0.0 0.8816 144 0.8375 0.9306 0.9767 171 0.9711 0.9825 1.0 3 1.0 1.0 0.1019 0.8833 421 0.8234 0.9525 0.9739 0.8901 0.8614 0.9209 0.0 49 0.0 0.0 0.9431 491 0.8956 0.9959 0.5882 11 0.8333 0.4545
0.0879 2.32 31000 0.8455 52 0.7324 1.0 0.7368 7 0.5833 1.0 0.9333 65 0.9 0.9692 0.6667 7 0.625 0.7143 0.9100 206 0.9122 0.9078 0.8889 43 0.8511 0.9302 0.8914 1654 0.8730 0.9105 0.0 2 0.0 0.0 0.8973 144 0.8851 0.9097 0.9711 171 0.96 0.9825 0.6667 3 0.5 1.0 0.1015 0.8662 421 0.8045 0.9382 0.9737 0.8905 0.8653 0.9173 0.0 49 0.0 0.0 0.9314 491 0.8748 0.9959 0.5 11 0.5556 0.4545
0.0797 2.36 31500 0.8387 52 0.7222 1.0 0.9333 7 0.875 1.0 0.9343 65 0.8889 0.9846 0.7143 7 0.7143 0.7143 0.9024 206 0.9069 0.8981 0.9213 43 0.8913 0.9535 0.8961 1654 0.8902 0.9021 0.0 2 0.0 0.0 0.8956 144 0.8693 0.9236 0.9770 171 0.9605 0.9942 0.8571 3 0.75 1.0 0.0932 0.9052 421 0.8529 0.9644 0.9752 0.8990 0.8811 0.9176 0.0 49 0.0 0.0 0.9386 491 0.8875 0.9959 0.3704 11 0.3125 0.4545
0.0841 2.4 32000 0.832 52 0.7123 1.0 0.7000 7 0.5385 1.0 0.9343 65 0.8889 0.9846 0.7143 7 0.7143 0.7143 0.9181 206 0.9391 0.8981 0.9011 43 0.8542 0.9535 0.8822 1654 0.8660 0.8990 0.0 2 0.0 0.0 0.8738 144 0.8182 0.9375 0.9577 171 0.9239 0.9942 0.6667 3 0.5 1.0 0.0963 0.9071 421 0.8489 0.9739 0.9749 0.8898 0.8617 0.9197 0.2 49 0.5455 0.1224 0.9448 491 0.9004 0.9939 0.2791 11 0.1875 0.5455
0.0747 2.44 32500 0.8455 52 0.7324 1.0 0.9333 7 0.875 1.0 0.9265 65 0.8873 0.9692 0.0 7 0.0 0.0 0.9020 206 0.9109 0.8932 0.8889 43 0.8511 0.9302 0.8851 1654 0.8827 0.8875 0.0 2 0.0 0.0 0.8710 144 0.8133 0.9375 0.9739 171 0.9655 0.9825 1.0 3 1.0 1.0 0.0960 0.8931 421 0.8333 0.9620 0.9746 0.8870 0.8673 0.9077 0.0312 49 0.0667 0.0204 0.9286 491 0.8714 0.9939 0.5556 11 0.7143 0.4545
0.0685 2.47 33000 0.8387 52 0.7222 1.0 0.9333 7 0.875 1.0 0.9275 65 0.8767 0.9846 0.25 7 0.2222 0.2857 0.9118 206 0.9208 0.9029 0.8817 43 0.82 0.9535 0.8840 1654 0.8532 0.9172 0.0 2 0.0 0.0 0.8710 144 0.8133 0.9375 0.9630 171 0.9389 0.9883 0.8571 3 0.75 1.0 0.0974 0.9044 421 0.8497 0.9667 0.9748 0.8902 0.8580 0.9248 0.0 49 0.0 0.0 0.9340 491 0.8809 0.9939 0.5263 11 0.625 0.4545
0.0715 2.51 33500 0.8387 52 0.7222 1.0 0.9333 7 0.875 1.0 0.8873 65 0.8182 0.9692 0.2857 7 0.2857 0.2857 0.9032 206 0.9239 0.8835 0.8571 43 0.8125 0.9070 0.8870 1654 0.8725 0.9021 0.0 2 0.0 0.0 0.8598 144 0.7797 0.9583 0.9714 171 0.9497 0.9942 0.8571 3 0.75 1.0 0.0943 0.9027 421 0.8447 0.9691 0.9749 0.8893 0.8626 0.9176 0.1 49 0.2727 0.0612 0.9376 491 0.8873 0.9939 0.3846 11 0.3333 0.4545
0.0686 2.55 34000 0.8387 52 0.7222 1.0 0.8235 7 0.7 1.0 0.9 65 0.84 0.9692 0.7143 7 0.7143 0.7143 0.8611 206 0.8230 0.9029 0.8667 43 0.8298 0.9070 0.8798 1654 0.8580 0.9027 0.0 2 0.0 0.0 0.8589 144 0.7829 0.9514 0.9632 171 0.9341 0.9942 0.25 3 0.1429 1.0 0.0968 0.8968 421 0.8417 0.9596 0.9743 0.8812 0.8475 0.9176 0.0 49 0.0 0.0 0.9331 491 0.8793 0.9939 0.4762 11 0.5 0.4545
0.0592 2.59 34500 0.832 52 0.7123 1.0 0.9333 7 0.875 1.0 0.9474 65 0.9265 0.9692 0.5714 7 0.5714 0.5714 0.9095 206 0.9163 0.9029 0.8696 43 0.8163 0.9302 0.8960 1654 0.8808 0.9117 0.0 2 0.0 0.0 0.8918 144 0.8447 0.9444 0.9683 171 0.9545 0.9825 1.0 3 1.0 1.0 0.0967 0.9030 421 0.8508 0.9620 0.9750 0.8979 0.8757 0.9212 0.0 49 0.0 0.0 0.9374 491 0.8887 0.9919 0.4762 11 0.5 0.4545
0.0591 2.62 35000 0.832 52 0.7123 1.0 0.9333 7 0.875 1.0 0.9333 65 0.9 0.9692 0.5333 7 0.5 0.5714 0.9095 206 0.9163 0.9029 0.8421 43 0.7692 0.9302 0.8975 1654 0.8924 0.9027 0.0 2 0.0 0.0 0.8580 144 0.7861 0.9444 0.9741 171 0.9602 0.9883 0.6667 3 0.5 1.0 0.1026 0.9077 421 0.8536 0.9691 0.9750 0.8931 0.8702 0.9173 0.0 49 0.0 0.0 0.9390 491 0.8948 0.9878 0.2941 11 0.2174 0.4545
0.0749 2.66 35500 0.8387 52 0.7222 1.0 0.9333 7 0.875 1.0 0.9 65 0.84 0.9692 0.5333 7 0.5 0.5714 0.9122 206 0.9167 0.9078 0.8817 43 0.82 0.9535 0.8976 1654 0.8919 0.9033 0.0 2 0.0 0.0 0.8947 144 0.85 0.9444 0.9799 171 0.9607 1.0 0.6667 3 0.5 1.0 0.0960 0.9117 421 0.8608 0.9691 0.9757 0.9007 0.8821 0.9200 0.0 49 0.0 0.0 0.9430 491 0.8971 0.9939 0.6316 11 0.75 0.5455
0.073 2.7 36000 0.832 52 0.7123 1.0 0.9333 7 0.875 1.0 0.9403 65 0.9130 0.9692 0.6154 7 0.6667 0.5714 0.8867 206 0.8804 0.8932 0.8791 43 0.8333 0.9302 0.8921 1654 0.8998 0.8845 0.0 2 0.0 0.0 0.8954 144 0.8457 0.9514 0.9798 171 0.9659 0.9942 0.8571 3 0.75 1.0 0.0982 0.8916 421 0.8418 0.9477 0.9752 0.8938 0.8818 0.9062 0.0 49 0.0 0.0 0.9383 491 0.8903 0.9919 0.5263 11 0.625 0.4545
0.0732 2.74 36500 0.832 52 0.7123 1.0 0.9333 7 0.875 1.0 0.9 65 0.84 0.9692 0.6250 7 0.5556 0.7143 0.8810 206 0.8645 0.8981 0.8817 43 0.82 0.9535 0.8959 1654 0.8767 0.9160 0.0 2 0.0 0.0 0.8762 144 0.8070 0.9583 0.9714 171 0.9497 0.9942 0.6667 3 0.5 1.0 0.0948 0.8972 421 0.8316 0.9739 0.9757 0.8938 0.8629 0.9269 0.0 49 0.0 0.0 0.9457 491 0.9020 0.9939 0.4800 11 0.4286 0.5455
0.0824 2.77 37000 0.832 52 0.7123 1.0 0.9333 7 0.875 1.0 0.9403 65 0.9130 0.9692 0.5714 7 0.5714 0.5714 0.8937 206 0.8894 0.8981 0.9213 43 0.8913 0.9535 0.9023 1654 0.8972 0.9075 0.0 2 0.0 0.0 0.8961 144 0.8415 0.9583 0.9657 171 0.9441 0.9883 0.8571 3 0.75 1.0 0.0931 0.8985 421 0.8392 0.9667 0.9762 0.9003 0.8800 0.9215 0.0312 49 0.0667 0.0204 0.9448 491 0.9004 0.9939 0.5714 11 0.6 0.5455
0.0809 2.81 37500 0.0934 0.7123 1.0 0.832 52 0.875 1.0 0.9333 7 0.9130 0.9692 0.9403 65 0.6667 0.5714 0.6154 7 0.8744 0.9126 0.8931 206 0.82 0.9535 0.8817 43 0.8809 0.9081 0.8943 1654 0.0 0.0 0.0 2 0.7886 0.9583 0.8652 144 0.9341 0.9942 0.9632 171 0.75 1.0 0.8571 3 0.8402 0.9620 0.8970 421 0.0 0.0 0.0 49 0.8938 0.9939 0.9412 491 0.5455 0.5455 0.5455 11 0.8654 0.9221 0.8929 0.9756
0.0893 2.85 38000 0.0908 0.7324 1.0 0.8455 52 0.875 1.0 0.9333 7 0.9118 0.9538 0.9323 65 0.7143 0.7143 0.7143 7 0.9163 0.9029 0.9095 206 0.8723 0.9535 0.9111 43 0.8867 0.9081 0.8973 1654 0.0 0.0 0.0 2 0.8466 0.9583 0.8990 144 0.9392 0.9942 0.9659 171 0.75 1.0 0.8571 3 0.8613 0.9739 0.9142 421 0.0769 0.0204 0.0323 49 0.8987 0.9939 0.9439 491 0.5455 0.5455 0.5455 11 0.8802 0.9233 0.9012 0.9764
0.0697 2.89 38500 0.0897 0.7324 1.0 0.8455 52 0.875 1.0 0.9333 7 0.9118 0.9538 0.9323 65 0.7143 0.7143 0.7143 7 0.8932 0.8932 0.8932 206 0.8913 0.9535 0.9213 43 0.9045 0.9051 0.9048 1654 0.0 0.0 0.0 2 0.8625 0.9583 0.9079 144 0.9389 0.9883 0.9630 171 0.75 1.0 0.8571 3 0.8485 0.9715 0.9059 421 0.0769 0.0204 0.0323 49 0.8971 0.9939 0.9430 491 0.5455 0.5455 0.5455 11 0.8863 0.9206 0.9031 0.9766
0.0833 2.92 39000 0.0891 0.7324 1.0 0.8455 52 0.875 1.0 0.9333 7 0.9118 0.9538 0.9323 65 0.7143 0.7143 0.7143 7 0.8981 0.8981 0.8981 206 0.8913 0.9535 0.9213 43 0.9036 0.9069 0.9053 1654 0.0 0.0 0.0 2 0.8571 0.9583 0.9049 144 0.9494 0.9883 0.9685 171 0.5 1.0 0.6667 3 0.8536 0.9691 0.9077 421 0.3333 0.0816 0.1311 49 0.9004 0.9939 0.9448 491 0.5455 0.5455 0.5455 11 0.8882 0.9224 0.9050 0.9764
0.0783 2.96 39500 0.0885 0.7429 1.0 0.8525 52 0.875 1.0 0.9333 7 0.9118 0.9538 0.9323 65 0.7143 0.7143 0.7143 7 0.9073 0.9029 0.9051 206 0.8913 0.9535 0.9213 43 0.8961 0.9129 0.9045 1654 0.0 0.0 0.0 2 0.8790 0.9583 0.9169 144 0.9551 0.9942 0.9742 171 0.75 1.0 0.8571 3 0.8482 0.9691 0.9047 421 0.4 0.1224 0.1875 49 0.8987 0.9939 0.9439 491 0.5455 0.5455 0.5455 11 0.8861 0.9266 0.9059 0.9764
0.0652 3.0 40000 0.0884 0.7429 1.0 0.8525 52 0.875 1.0 0.9333 7 0.9118 0.9538 0.9323 65 0.7143 0.7143 0.7143 7 0.9029 0.9029 0.9029 206 0.8913 0.9535 0.9213 43 0.8909 0.9129 0.9018 1654 0.0 0.0 0.0 2 0.8679 0.9583 0.9109 144 0.9497 0.9942 0.9714 171 0.75 1.0 0.8571 3 0.8503 0.9715 0.9069 421 0.3333 0.1224 0.1791 49 0.8954 0.9939 0.9421 491 0.5455 0.5455 0.5455 11 0.8816 0.9269 0.9037 0.9764

Framework versions

  • Transformers 4.24.0
  • Pytorch 1.12.1+cu113
  • Datasets 2.6.1
  • Tokenizers 0.13.2
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Dataset used to train cynthiachan/finetune-electra

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