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bert-base-uncased-test_16_1069
This model is a fine-tuned version of bert-base-uncased on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 4.3588
- F1: {'f1': 0.8042394014962594}
- Accuracy: {'accuracy': 0.6989453499520614}
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: 0.001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2000
Training results
Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy |
---|---|---|---|---|---|
No log | 1.0 | 67 | 0.5879 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
No log | 2.0 | 134 | 0.5747 | {'f1': 0.7801857585139319} | {'accuracy': 0.7277085330776606} |
No log | 3.0 | 201 | 0.5570 | {'f1': 0.8424206111443978} | {'accuracy': 0.74784276126558} |
No log | 4.0 | 268 | 0.7406 | {'f1': 0.8374851720047449} | {'accuracy': 0.7372962607861937} |
No log | 5.0 | 335 | 0.8201 | {'f1': 0.851421188630491} | {'accuracy': 0.7794822627037392} |
No log | 6.0 | 402 | 0.8660 | {'f1': 0.8404825737265416} | {'accuracy': 0.7718120805369127} |
No log | 7.0 | 469 | 1.2029 | {'f1': 0.8460087994971716} | {'accuracy': 0.7651006711409396} |
0.3504 | 8.0 | 536 | 1.2559 | {'f1': 0.8422344996930632} | {'accuracy': 0.7535953978907} |
0.3504 | 9.0 | 603 | 1.4866 | {'f1': 0.8425692695214106} | {'accuracy': 0.7603068072866731} |
0.3504 | 10.0 | 670 | 1.4314 | {'f1': 0.8419023136246786} | {'accuracy': 0.7641418983700863} |
0.3504 | 11.0 | 737 | 1.6634 | {'f1': 0.8441308531109686} | {'accuracy': 0.7670182166826462} |
0.3504 | 12.0 | 804 | 1.3683 | {'f1': 0.8448500651890483} | {'accuracy': 0.7718120805369127} |
0.3504 | 13.0 | 871 | 1.9068 | {'f1': 0.8430160692212608} | {'accuracy': 0.7564717162032598} |
0.3504 | 14.0 | 938 | 1.9702 | {'f1': 0.8393194706994328} | {'accuracy': 0.7555129434324065} |
0.0577 | 15.0 | 1005 | 1.7388 | {'f1': 0.8427339084273391} | {'accuracy': 0.7727708533077661} |
0.0577 | 16.0 | 1072 | 1.5435 | {'f1': 0.8409937888198759} | {'accuracy': 0.7545541706615532} |
0.0577 | 17.0 | 1139 | 1.6057 | {'f1': 0.8374253483742535} | {'accuracy': 0.7651006711409396} |
0.0577 | 18.0 | 1206 | 1.3399 | {'f1': 0.8447284345047924} | {'accuracy': 0.7670182166826462} |
0.0577 | 19.0 | 1273 | 1.4941 | {'f1': 0.8412698412698413} | {'accuracy': 0.7698945349952061} |
0.0577 | 20.0 | 1340 | 1.7071 | {'f1': 0.8478396994364433} | {'accuracy': 0.7670182166826462} |
0.0577 | 21.0 | 1407 | 1.2847 | {'f1': 0.8509316770186335} | {'accuracy': 0.7698945349952061} |
0.0577 | 22.0 | 1474 | 1.5951 | {'f1': 0.8489483747609943} | {'accuracy': 0.7727708533077661} |
0.0419 | 23.0 | 1541 | 1.3749 | {'f1': 0.8505897771952817} | {'accuracy': 0.7813998082454459} |
0.0419 | 24.0 | 1608 | 1.5838 | {'f1': 0.8468468468468469} | {'accuracy': 0.7718120805369127} |
0.0419 | 25.0 | 1675 | 2.0442 | {'f1': 0.8368967623701894} | {'accuracy': 0.7440076701821668} |
0.0419 | 26.0 | 1742 | 1.7379 | {'f1': 0.8339719029374203} | {'accuracy': 0.75071907957814} |
0.0419 | 27.0 | 1809 | 1.4958 | {'f1': 0.8419753086419752} | {'accuracy': 0.7545541706615532} |
0.0419 | 28.0 | 1876 | 1.6073 | {'f1': 0.8396756082345601} | {'accuracy': 0.7535953978907} |
0.0419 | 29.0 | 1943 | 1.0036 | {'f1': 0.8360433604336043} | {'accuracy': 0.7679769894534996} |
0.049 | 30.0 | 2010 | 1.5835 | {'f1': 0.8313993174061434} | {'accuracy': 0.763183125599233} |
0.049 | 31.0 | 2077 | 1.5472 | {'f1': 0.8412397216951296} | {'accuracy': 0.7593480345158198} |
0.049 | 32.0 | 2144 | 1.4587 | {'f1': 0.8435643564356435} | {'accuracy': 0.7727708533077661} |
0.049 | 33.0 | 2211 | 1.8834 | {'f1': 0.8427594779366064} | {'accuracy': 0.7574304889741131} |
0.049 | 34.0 | 2278 | 1.7062 | {'f1': 0.8425584255842559} | {'accuracy': 0.7545541706615532} |
0.049 | 35.0 | 2345 | 1.8846 | {'f1': 0.8468137254901961} | {'accuracy': 0.7603068072866731} |
0.049 | 36.0 | 2412 | 1.2837 | {'f1': 0.8472843450479234} | {'accuracy': 0.7708533077660594} |
0.049 | 37.0 | 2479 | 1.5835 | {'f1': 0.8322411533420708} | {'accuracy': 0.7545541706615532} |
0.0471 | 38.0 | 2546 | 1.7109 | {'f1': 0.8350515463917526} | {'accuracy': 0.7545541706615532} |
0.0471 | 39.0 | 2613 | 2.3271 | {'f1': 0.8419721871049306} | {'accuracy': 0.7603068072866731} |
0.0471 | 40.0 | 2680 | 2.0836 | {'f1': 0.8341772151898734} | {'accuracy': 0.7488015340364333} |
0.0471 | 41.0 | 2747 | 1.4783 | {'f1': 0.8168421052631578} | {'accuracy': 0.7497603068072867} |
0.0471 | 42.0 | 2814 | 1.5867 | {'f1': 0.8466876971608833} | {'accuracy': 0.7670182166826462} |
0.0471 | 43.0 | 2881 | 1.9556 | {'f1': 0.8398791540785498} | {'accuracy': 0.7459252157238735} |
0.0471 | 44.0 | 2948 | 1.8652 | {'f1': 0.8446417247939126} | {'accuracy': 0.7651006711409396} |
0.0272 | 45.0 | 3015 | 1.4984 | {'f1': 0.8384223918575064} | {'accuracy': 0.7564717162032598} |
0.0272 | 46.0 | 3082 | 2.2976 | {'f1': 0.8434466019417476} | {'accuracy': 0.7526366251198466} |
0.0272 | 47.0 | 3149 | 1.7726 | {'f1': 0.8271687962340282} | {'accuracy': 0.7535953978907} |
0.0272 | 48.0 | 3216 | 1.4079 | {'f1': 0.8417680973734787} | {'accuracy': 0.763183125599233} |
0.0272 | 49.0 | 3283 | 1.9601 | {'f1': 0.8388780169602087} | {'accuracy': 0.763183125599233} |
0.0272 | 50.0 | 3350 | 1.7132 | {'f1': 0.8419672131147541} | {'accuracy': 0.7689357622243528} |
0.0272 | 51.0 | 3417 | 1.9065 | {'f1': 0.8423772609819122} | {'accuracy': 0.7660594439117929} |
0.0272 | 52.0 | 3484 | 1.6271 | {'f1': 0.8435374149659863} | {'accuracy': 0.7574304889741131} |
0.035 | 53.0 | 3551 | 1.9134 | {'f1': 0.839030453697949} | {'accuracy': 0.7516778523489933} |
0.035 | 54.0 | 3618 | 1.2223 | {'f1': 0.8315412186379928} | {'accuracy': 0.7296260786193672} |
0.035 | 55.0 | 3685 | 1.9100 | {'f1': 0.8471953578336557} | {'accuracy': 0.7727708533077661} |
0.035 | 56.0 | 3752 | 1.7624 | {'f1': 0.8410513141426784} | {'accuracy': 0.7564717162032598} |
0.035 | 57.0 | 3819 | 1.6260 | {'f1': 0.8396846254927727} | {'accuracy': 0.7660594439117929} |
0.035 | 58.0 | 3886 | 1.8729 | {'f1': 0.838868388683887} | {'accuracy': 0.7488015340364333} |
0.035 | 59.0 | 3953 | 1.7361 | {'f1': 0.842039800995025} | {'accuracy': 0.7564717162032598} |
0.0425 | 60.0 | 4020 | 2.6457 | {'f1': 0.8328267477203647} | {'accuracy': 0.7363374880153404} |
0.0425 | 61.0 | 4087 | 1.6427 | {'f1': 0.8251400124455508} | {'accuracy': 0.7305848513902206} |
0.0425 | 62.0 | 4154 | 1.8693 | {'f1': 0.8444444444444443} | {'accuracy': 0.7651006711409396} |
0.0425 | 63.0 | 4221 | 1.4339 | {'f1': 0.8385449904275686} | {'accuracy': 0.7574304889741131} |
0.0425 | 64.0 | 4288 | 1.9156 | {'f1': 0.8382165605095542} | {'accuracy': 0.7564717162032598} |
0.0425 | 65.0 | 4355 | 1.8338 | {'f1': 0.8368146214099217} | {'accuracy': 0.7603068072866731} |
0.0425 | 66.0 | 4422 | 1.3498 | {'f1': 0.8367473618870268} | {'accuracy': 0.74784276126558} |
0.0425 | 67.0 | 4489 | 2.1211 | {'f1': 0.8415584415584416} | {'accuracy': 0.7660594439117929} |
0.049 | 68.0 | 4556 | 1.9182 | {'f1': 0.8391332895600787} | {'accuracy': 0.7651006711409396} |
0.049 | 69.0 | 4623 | 1.6831 | {'f1': 0.8395061728395061} | {'accuracy': 0.763183125599233} |
0.049 | 70.0 | 4690 | 1.5006 | {'f1': 0.8284789644012944} | {'accuracy': 0.7459252157238735} |
0.049 | 71.0 | 4757 | 1.1305 | {'f1': 0.821664464993395} | {'accuracy': 0.7411313518696069} |
0.049 | 72.0 | 4824 | 1.8027 | {'f1': 0.8407407407407408} | {'accuracy': 0.7526366251198466} |
0.049 | 73.0 | 4891 | 2.4575 | {'f1': 0.8399044205495819} | {'accuracy': 0.7430488974113135} |
0.049 | 74.0 | 4958 | 1.5636 | {'f1': 0.8385449904275686} | {'accuracy': 0.7574304889741131} |
0.0443 | 75.0 | 5025 | 1.5191 | {'f1': 0.8409669211195929} | {'accuracy': 0.7603068072866731} |
0.0443 | 76.0 | 5092 | 1.4819 | {'f1': 0.8215994531784004} | {'accuracy': 0.7497603068072867} |
0.0443 | 77.0 | 5159 | 1.9624 | {'f1': 0.8336448598130841} | {'accuracy': 0.7440076701821668} |
0.0443 | 78.0 | 5226 | 2.6006 | {'f1': 0.8401997503121098} | {'accuracy': 0.7545541706615532} |
0.0443 | 79.0 | 5293 | 1.7369 | {'f1': 0.8461538461538463} | {'accuracy': 0.7622243528283796} |
0.0443 | 80.0 | 5360 | 1.3129 | {'f1': 0.8339920948616601} | {'accuracy': 0.7583892617449665} |
0.0443 | 81.0 | 5427 | 2.0260 | {'f1': 0.8430769230769232} | {'accuracy': 0.7555129434324065} |
0.0443 | 82.0 | 5494 | 1.4667 | {'f1': 0.8365758754863812} | {'accuracy': 0.7583892617449665} |
0.0481 | 83.0 | 5561 | 1.3350 | {'f1': 0.8410852713178294} | {'accuracy': 0.7641418983700863} |
0.0481 | 84.0 | 5628 | 1.3928 | {'f1': 0.8393977415307404} | {'accuracy': 0.7545541706615532} |
0.0481 | 85.0 | 5695 | 1.7076 | {'f1': 0.8338804990151018} | {'accuracy': 0.7574304889741131} |
0.0481 | 86.0 | 5762 | 2.0295 | {'f1': 0.824607329842932} | {'accuracy': 0.7430488974113135} |
0.0481 | 87.0 | 5829 | 1.6961 | {'f1': 0.8389560789306174} | {'accuracy': 0.7574304889741131} |
0.0481 | 88.0 | 5896 | 1.5844 | {'f1': 0.824755700325733} | {'accuracy': 0.7420901246404602} |
0.0481 | 89.0 | 5963 | 1.9236 | {'f1': 0.814411964649898} | {'accuracy': 0.738255033557047} |
0.0483 | 90.0 | 6030 | 1.6411 | {'f1': 0.8293316028552888} | {'accuracy': 0.74784276126558} |
0.0483 | 91.0 | 6097 | 1.8739 | {'f1': 0.8402439024390244} | {'accuracy': 0.7488015340364333} |
0.0483 | 92.0 | 6164 | 1.8395 | {'f1': 0.8351368555060471} | {'accuracy': 0.7516778523489933} |
0.0483 | 93.0 | 6231 | 2.0723 | {'f1': 0.8405438813349814} | {'accuracy': 0.7526366251198466} |
0.0483 | 94.0 | 6298 | 1.8634 | {'f1': 0.8415300546448088} | {'accuracy': 0.7497603068072867} |
0.0483 | 95.0 | 6365 | 1.9256 | {'f1': 0.8295662797800855} | {'accuracy': 0.7325023969319271} |
0.0483 | 96.0 | 6432 | 2.0026 | {'f1': 0.8403465346534654} | {'accuracy': 0.7526366251198466} |
0.0483 | 97.0 | 6499 | 2.0732 | {'f1': 0.8286384976525822} | {'accuracy': 0.7200383509108341} |
0.0384 | 98.0 | 6566 | 1.8737 | {'f1': 0.8503532434168274} | {'accuracy': 0.7766059443911792} |
0.0384 | 99.0 | 6633 | 2.0952 | {'f1': 0.8365444375388441} | {'accuracy': 0.74784276126558} |
0.0384 | 100.0 | 6700 | 2.4121 | {'f1': 0.8460591133004927} | {'accuracy': 0.7603068072866731} |
0.0384 | 101.0 | 6767 | 1.8195 | {'f1': 0.8396464646464646} | {'accuracy': 0.7564717162032598} |
0.0384 | 102.0 | 6834 | 1.4623 | {'f1': 0.797486033519553} | {'accuracy': 0.7219558964525408} |
0.0384 | 103.0 | 6901 | 2.1245 | {'f1': 0.8391089108910891} | {'accuracy': 0.75071907957814} |
0.0384 | 104.0 | 6968 | 1.6440 | {'f1': 0.8405797101449276} | {'accuracy': 0.7679769894534996} |
0.038 | 105.0 | 7035 | 1.9479 | {'f1': 0.8314754098360656} | {'accuracy': 0.7535953978907} |
0.038 | 106.0 | 7102 | 1.8748 | {'f1': 0.8328154133001864} | {'accuracy': 0.7420901246404602} |
0.038 | 107.0 | 7169 | 1.4211 | {'f1': 0.831151832460733} | {'accuracy': 0.7526366251198466} |
0.038 | 108.0 | 7236 | 1.9897 | {'f1': 0.823529411764706} | {'accuracy': 0.7325023969319271} |
0.038 | 109.0 | 7303 | 1.7817 | {'f1': 0.8084239130434783} | {'accuracy': 0.7296260786193672} |
0.038 | 110.0 | 7370 | 1.8589 | {'f1': 0.8134920634920636} | {'accuracy': 0.7296260786193672} |
0.038 | 111.0 | 7437 | 2.0391 | {'f1': 0.8152454780361758} | {'accuracy': 0.725790987535954} |
0.0532 | 112.0 | 7504 | 1.6395 | {'f1': 0.828996282527881} | {'accuracy': 0.7353787152444871} |
0.0532 | 113.0 | 7571 | 2.2076 | {'f1': 0.8341645885286784} | {'accuracy': 0.7449664429530202} |
0.0532 | 114.0 | 7638 | 2.4226 | {'f1': 0.8337378640776699} | {'accuracy': 0.7372962607861937} |
0.0532 | 115.0 | 7705 | 1.2817 | {'f1': 0.8342714196372732} | {'accuracy': 0.7459252157238735} |
0.0532 | 116.0 | 7772 | 2.2737 | {'f1': 0.8317073170731707} | {'accuracy': 0.7353787152444871} |
0.0532 | 117.0 | 7839 | 1.9394 | {'f1': 0.8260325406758449} | {'accuracy': 0.7334611697027804} |
0.0532 | 118.0 | 7906 | 2.2936 | {'f1': 0.8234536082474228} | {'accuracy': 0.7372962607861937} |
0.0532 | 119.0 | 7973 | 1.8452 | {'f1': 0.8306148055207027} | {'accuracy': 0.7411313518696069} |
0.049 | 120.0 | 8040 | 2.4783 | {'f1': 0.8275449101796407} | {'accuracy': 0.7238734419942474} |
0.049 | 121.0 | 8107 | 2.1361 | {'f1': 0.8167202572347267} | {'accuracy': 0.7267497603068073} |
0.049 | 122.0 | 8174 | 2.0442 | {'f1': 0.830848995463383} | {'accuracy': 0.7497603068072867} |
0.049 | 123.0 | 8241 | 2.4047 | {'f1': 0.8211920529801324} | {'accuracy': 0.7411313518696069} |
0.049 | 124.0 | 8308 | 1.4207 | {'f1': 0.8226018396846255} | {'accuracy': 0.7411313518696069} |
0.049 | 125.0 | 8375 | 2.2460 | {'f1': 0.8252184769038702} | {'accuracy': 0.7315436241610739} |
0.049 | 126.0 | 8442 | 2.6570 | {'f1': 0.8257211538461539} | {'accuracy': 0.7219558964525408} |
0.0343 | 127.0 | 8509 | 2.5992 | {'f1': 0.8293867638129933} | {'accuracy': 0.7305848513902206} |
0.0343 | 128.0 | 8576 | 2.6733 | {'f1': 0.8308823529411765} | {'accuracy': 0.7353787152444871} |
0.0343 | 129.0 | 8643 | 2.6073 | {'f1': 0.8283723875870805} | {'accuracy': 0.7401725790987536} |
0.0343 | 130.0 | 8710 | 1.9251 | {'f1': 0.805668016194332} | {'accuracy': 0.7238734419942474} |
0.0343 | 131.0 | 8777 | 1.6319 | {'f1': 0.8204456094364352} | {'accuracy': 0.7372962607861937} |
0.0343 | 132.0 | 8844 | 1.9498 | {'f1': 0.8269230769230769} | {'accuracy': 0.7411313518696069} |
0.0343 | 133.0 | 8911 | 1.8111 | {'f1': 0.8309677419354838} | {'accuracy': 0.7488015340364333} |
0.0343 | 134.0 | 8978 | 1.9456 | {'f1': 0.8246753246753247} | {'accuracy': 0.7411313518696069} |
0.0361 | 135.0 | 9045 | 2.1826 | {'f1': 0.8220937700706487} | {'accuracy': 0.7344199424736337} |
0.0361 | 136.0 | 9112 | 1.5774 | {'f1': 0.8310387984981228} | {'accuracy': 0.7411313518696069} |
0.0361 | 137.0 | 9179 | 2.4278 | {'f1': 0.8249075215782984} | {'accuracy': 0.7277085330776606} |
0.0361 | 138.0 | 9246 | 1.3895 | {'f1': 0.8233082706766918} | {'accuracy': 0.7296260786193672} |
0.0361 | 139.0 | 9313 | 2.0902 | {'f1': 0.8128342245989304} | {'accuracy': 0.7315436241610739} |
0.0361 | 140.0 | 9380 | 2.0259 | {'f1': 0.8232354778263585} | {'accuracy': 0.7286673058485139} |
0.0361 | 141.0 | 9447 | 2.1325 | {'f1': 0.825515947467167} | {'accuracy': 0.7325023969319271} |
0.0562 | 142.0 | 9514 | 2.0610 | {'f1': 0.8207426376440461} | {'accuracy': 0.7315436241610739} |
0.0562 | 143.0 | 9581 | 1.4215 | {'f1': 0.8223938223938223} | {'accuracy': 0.7353787152444871} |
0.0562 | 144.0 | 9648 | 1.4644 | {'f1': 0.8226120857699806} | {'accuracy': 0.738255033557047} |
0.0562 | 145.0 | 9715 | 2.3814 | {'f1': 0.8266003729024238} | {'accuracy': 0.7325023969319271} |
0.0562 | 146.0 | 9782 | 2.2019 | {'f1': 0.828334396936822} | {'accuracy': 0.7420901246404602} |
0.0562 | 147.0 | 9849 | 2.4529 | {'f1': 0.8213836477987422} | {'accuracy': 0.7277085330776606} |
0.0562 | 148.0 | 9916 | 1.8754 | {'f1': 0.8313479623824451} | {'accuracy': 0.7420901246404602} |
0.0562 | 149.0 | 9983 | 2.0815 | {'f1': 0.8332329921733895} | {'accuracy': 0.7344199424736337} |
0.0457 | 150.0 | 10050 | 1.8325 | {'f1': 0.8277634961439588} | {'accuracy': 0.7430488974113135} |
0.0457 | 151.0 | 10117 | 1.9036 | {'f1': 0.8309859154929577} | {'accuracy': 0.7468839884947267} |
0.0457 | 152.0 | 10184 | 1.8461 | {'f1': 0.8303516347933374} | {'accuracy': 0.7363374880153404} |
0.0457 | 153.0 | 10251 | 1.7572 | {'f1': 0.8288834951456312} | {'accuracy': 0.7296260786193672} |
0.0457 | 154.0 | 10318 | 1.5614 | {'f1': 0.8228423101881894} | {'accuracy': 0.738255033557047} |
0.0457 | 155.0 | 10385 | 1.3556 | {'f1': 0.8275862068965517} | {'accuracy': 0.7363374880153404} |
0.0457 | 156.0 | 10452 | 1.7987 | {'f1': 0.8391959798994975} | {'accuracy': 0.7545541706615532} |
0.0464 | 157.0 | 10519 | 1.8711 | {'f1': 0.827930174563591} | {'accuracy': 0.7353787152444871} |
0.0464 | 158.0 | 10586 | 1.9391 | {'f1': 0.8280407429598563} | {'accuracy': 0.7248322147651006} |
0.0464 | 159.0 | 10653 | 1.3466 | {'f1': 0.8326797385620914} | {'accuracy': 0.7545541706615532} |
0.0464 | 160.0 | 10720 | 2.0257 | {'f1': 0.8271527341294783} | {'accuracy': 0.7363374880153404} |
0.0464 | 161.0 | 10787 | 1.5463 | {'f1': 0.832089552238806} | {'accuracy': 0.7411313518696069} |
0.0464 | 162.0 | 10854 | 2.1249 | {'f1': 0.8290488431876606} | {'accuracy': 0.7449664429530202} |
0.0464 | 163.0 | 10921 | 1.5738 | {'f1': 0.8220064724919095} | {'accuracy': 0.7363374880153404} |
0.0464 | 164.0 | 10988 | 1.4705 | {'f1': 0.8270096463022508} | {'accuracy': 0.7420901246404602} |
0.0465 | 165.0 | 11055 | 2.3533 | {'f1': 0.8257107540173053} | {'accuracy': 0.7296260786193672} |
0.0465 | 166.0 | 11122 | 2.3995 | {'f1': 0.8253968253968255} | {'accuracy': 0.725790987535954} |
0.0465 | 167.0 | 11189 | 2.1748 | {'f1': 0.8285714285714286} | {'accuracy': 0.7238734419942474} |
0.0465 | 168.0 | 11256 | 2.0399 | {'f1': 0.8142857142857142} | {'accuracy': 0.725790987535954} |
0.0465 | 169.0 | 11323 | 2.0595 | {'f1': 0.8274203247143717} | {'accuracy': 0.7248322147651006} |
0.0465 | 170.0 | 11390 | 1.9879 | {'f1': 0.8194271481942714} | {'accuracy': 0.7219558964525408} |
0.0465 | 171.0 | 11457 | 3.0808 | {'f1': 0.8266993263931415} | {'accuracy': 0.7286673058485139} |
0.0401 | 172.0 | 11524 | 2.1377 | {'f1': 0.8253968253968254} | {'accuracy': 0.7363374880153404} |
0.0401 | 173.0 | 11591 | 2.5008 | {'f1': 0.8276714021000617} | {'accuracy': 0.7325023969319271} |
0.0401 | 174.0 | 11658 | 2.1683 | {'f1': 0.8300060496067755} | {'accuracy': 0.7305848513902206} |
0.0401 | 175.0 | 11725 | 2.1014 | {'f1': 0.8314199395770392} | {'accuracy': 0.7325023969319271} |
0.0401 | 176.0 | 11792 | 2.4454 | {'f1': 0.8363858363858364} | {'accuracy': 0.7430488974113135} |
0.0401 | 177.0 | 11859 | 2.2738 | {'f1': 0.8395989974937343} | {'accuracy': 0.7545541706615532} |
0.0401 | 178.0 | 11926 | 2.0284 | {'f1': 0.8232258064516128} | {'accuracy': 0.7372962607861937} |
0.0401 | 179.0 | 11993 | 1.7525 | {'f1': 0.8259513412351841} | {'accuracy': 0.7325023969319271} |
0.0439 | 180.0 | 12060 | 1.9236 | {'f1': 0.8314176245210728} | {'accuracy': 0.7468839884947267} |
0.0439 | 181.0 | 12127 | 2.2251 | {'f1': 0.8356579745300181} | {'accuracy': 0.7401725790987536} |
0.0439 | 182.0 | 12194 | 1.6463 | {'f1': 0.8264026402640263} | {'accuracy': 0.74784276126558} |
0.0439 | 183.0 | 12261 | 2.3242 | {'f1': 0.8373531230674086} | {'accuracy': 0.74784276126558} |
0.0439 | 184.0 | 12328 | 2.4033 | {'f1': 0.8307888040712469} | {'accuracy': 0.7449664429530202} |
0.0439 | 185.0 | 12395 | 1.5165 | {'f1': 0.819607843137255} | {'accuracy': 0.7353787152444871} |
0.0439 | 186.0 | 12462 | 2.2202 | {'f1': 0.8214747736093144} | {'accuracy': 0.7353787152444871} |
0.0346 | 187.0 | 12529 | 1.8881 | {'f1': 0.8328154133001864} | {'accuracy': 0.7420901246404602} |
0.0346 | 188.0 | 12596 | 1.9499 | {'f1': 0.8349875930521091} | {'accuracy': 0.7449664429530202} |
0.0346 | 189.0 | 12663 | 1.9087 | {'f1': 0.8335373317013464} | {'accuracy': 0.7392138063279002} |
0.0346 | 190.0 | 12730 | 2.1890 | {'f1': 0.8361162646876934} | {'accuracy': 0.7459252157238735} |
0.0346 | 191.0 | 12797 | 2.2057 | {'f1': 0.8351648351648352} | {'accuracy': 0.7555129434324065} |
0.0346 | 192.0 | 12864 | 2.2961 | {'f1': 0.8254164096236891} | {'accuracy': 0.7286673058485139} |
0.0346 | 193.0 | 12931 | 2.4792 | {'f1': 0.8232445520581113} | {'accuracy': 0.7200383509108341} |
0.0346 | 194.0 | 12998 | 1.7966 | {'f1': 0.8299748110831233} | {'accuracy': 0.7411313518696069} |
0.0337 | 195.0 | 13065 | 2.2611 | {'f1': 0.828828828828829} | {'accuracy': 0.7267497603068073} |
0.0337 | 196.0 | 13132 | 2.1980 | {'f1': 0.8204787234042553} | {'accuracy': 0.7411313518696069} |
0.0337 | 197.0 | 13199 | 2.3403 | {'f1': 0.8252007411982705} | {'accuracy': 0.7286673058485139} |
0.0337 | 198.0 | 13266 | 2.3529 | {'f1': 0.8277130594727161} | {'accuracy': 0.7305848513902206} |
0.0337 | 199.0 | 13333 | 2.2663 | {'f1': 0.8249221183800622} | {'accuracy': 0.7305848513902206} |
0.0337 | 200.0 | 13400 | 1.7595 | {'f1': 0.8189873417721518} | {'accuracy': 0.725790987535954} |
0.0337 | 201.0 | 13467 | 2.4966 | {'f1': 0.8270401948842875} | {'accuracy': 0.7277085330776606} |
0.0481 | 202.0 | 13534 | 2.6246 | {'f1': 0.8272841051314144} | {'accuracy': 0.7353787152444871} |
0.0481 | 203.0 | 13601 | 2.5412 | {'f1': 0.8177014531043592} | {'accuracy': 0.7353787152444871} |
0.0481 | 204.0 | 13668 | 2.5624 | {'f1': 0.819693094629156} | {'accuracy': 0.7296260786193672} |
0.0481 | 205.0 | 13735 | 2.6099 | {'f1': 0.8259010384850337} | {'accuracy': 0.7267497603068073} |
0.0481 | 206.0 | 13802 | 2.6160 | {'f1': 0.8220779220779222} | {'accuracy': 0.7372962607861937} |
0.0481 | 207.0 | 13869 | 2.7832 | {'f1': 0.8259833134684148} | {'accuracy': 0.7200383509108341} |
0.0481 | 208.0 | 13936 | 1.5844 | {'f1': 0.8261997405966278} | {'accuracy': 0.7430488974113135} |
0.0233 | 209.0 | 14003 | 2.2950 | {'f1': 0.8246385920804525} | {'accuracy': 0.7325023969319271} |
0.0233 | 210.0 | 14070 | 2.4042 | {'f1': 0.8208020050125312} | {'accuracy': 0.725790987535954} |
0.0233 | 211.0 | 14137 | 2.6540 | {'f1': 0.8175182481751825} | {'accuracy': 0.7123681687440077} |
0.0233 | 212.0 | 14204 | 1.8877 | {'f1': 0.8119062697910071} | {'accuracy': 0.7152444870565676} |
0.0233 | 213.0 | 14271 | 2.0722 | {'f1': 0.8246385920804525} | {'accuracy': 0.7325023969319271} |
0.0233 | 214.0 | 14338 | 1.7755 | {'f1': 0.8300192431045542} | {'accuracy': 0.7459252157238735} |
0.0233 | 215.0 | 14405 | 2.0671 | {'f1': 0.8277571251548947} | {'accuracy': 0.7334611697027804} |
0.0233 | 216.0 | 14472 | 2.4026 | {'f1': 0.8092783505154639} | {'accuracy': 0.716203259827421} |
0.0482 | 217.0 | 14539 | 1.1362 | {'f1': 0.8232189973614776} | {'accuracy': 0.7430488974113135} |
0.0482 | 218.0 | 14606 | 2.0350 | {'f1': 0.8233082706766918} | {'accuracy': 0.7296260786193672} |
0.0482 | 219.0 | 14673 | 1.9862 | {'f1': 0.8288177339901478} | {'accuracy': 0.7334611697027804} |
0.0482 | 220.0 | 14740 | 2.2265 | {'f1': 0.810077519379845} | {'accuracy': 0.7181208053691275} |
0.0482 | 221.0 | 14807 | 1.8522 | {'f1': 0.8204472843450481} | {'accuracy': 0.7305848513902206} |
0.0482 | 222.0 | 14874 | 1.7828 | {'f1': 0.8246268656716419} | {'accuracy': 0.7296260786193672} |
0.0482 | 223.0 | 14941 | 1.5260 | {'f1': 0.8165079365079365} | {'accuracy': 0.7229146692233941} |
0.0785 | 224.0 | 15008 | 2.1516 | {'f1': 0.8284313725490196} | {'accuracy': 0.7315436241610739} |
0.0785 | 225.0 | 15075 | 1.8078 | {'f1': 0.8276729559748428} | {'accuracy': 0.7372962607861937} |
0.0785 | 226.0 | 15142 | 1.5725 | {'f1': 0.8275441803778184} | {'accuracy': 0.7286673058485139} |
0.0785 | 227.0 | 15209 | 1.6072 | {'f1': 0.8305190744215134} | {'accuracy': 0.7401725790987536} |
0.0785 | 228.0 | 15276 | 1.5795 | {'f1': 0.8318042813455658} | {'accuracy': 0.7363374880153404} |
0.0785 | 229.0 | 15343 | 1.9772 | {'f1': 0.8307880268784361} | {'accuracy': 0.7344199424736337} |
0.0785 | 230.0 | 15410 | 1.9313 | {'f1': 0.8223350253807107} | {'accuracy': 0.7315436241610739} |
0.0785 | 231.0 | 15477 | 2.3155 | {'f1': 0.8236729713239781} | {'accuracy': 0.7229146692233941} |
0.0437 | 232.0 | 15544 | 2.0415 | {'f1': 0.8269604666234608} | {'accuracy': 0.7440076701821668} |
0.0437 | 233.0 | 15611 | 2.2890 | {'f1': 0.8360450563204005} | {'accuracy': 0.7488015340364333} |
0.0437 | 234.0 | 15678 | 2.0242 | {'f1': 0.8252299605781866} | {'accuracy': 0.7449664429530202} |
0.0437 | 235.0 | 15745 | 2.5560 | {'f1': 0.8253968253968255} | {'accuracy': 0.725790987535954} |
0.0437 | 236.0 | 15812 | 2.1370 | {'f1': 0.820066889632107} | {'accuracy': 0.7420901246404602} |
0.0437 | 237.0 | 15879 | 2.3976 | {'f1': 0.8201160541586073} | {'accuracy': 0.7325023969319271} |
0.0437 | 238.0 | 15946 | 2.0668 | {'f1': 0.8240563019833654} | {'accuracy': 0.7363374880153404} |
0.029 | 239.0 | 16013 | 2.6144 | {'f1': 0.8304878048780489} | {'accuracy': 0.7334611697027804} |
0.029 | 240.0 | 16080 | 2.4390 | {'f1': 0.823076923076923} | {'accuracy': 0.7353787152444871} |
0.029 | 241.0 | 16147 | 2.6111 | {'f1': 0.8302583025830258} | {'accuracy': 0.7353787152444871} |
0.029 | 242.0 | 16214 | 2.1808 | {'f1': 0.8100929614873839} | {'accuracy': 0.725790987535954} |
0.029 | 243.0 | 16281 | 2.5292 | {'f1': 0.8259551243177684} | {'accuracy': 0.7248322147651006} |
0.029 | 244.0 | 16348 | 2.8765 | {'f1': 0.8240291262135921} | {'accuracy': 0.7219558964525408} |
0.029 | 245.0 | 16415 | 2.1378 | {'f1': 0.8258145363408521} | {'accuracy': 0.7334611697027804} |
0.029 | 246.0 | 16482 | 2.7818 | {'f1': 0.8210262828535669} | {'accuracy': 0.725790987535954} |
0.0275 | 247.0 | 16549 | 2.3042 | {'f1': 0.8238213399503722} | {'accuracy': 0.7277085330776606} |
0.0275 | 248.0 | 16616 | 2.1543 | {'f1': 0.8292985723153321} | {'accuracy': 0.7363374880153404} |
0.0275 | 249.0 | 16683 | 1.8719 | {'f1': 0.8230719377835385} | {'accuracy': 0.738255033557047} |
0.0275 | 250.0 | 16750 | 1.8956 | {'f1': 0.8290341931613677} | {'accuracy': 0.7267497603068073} |
0.0275 | 251.0 | 16817 | 1.8268 | {'f1': 0.835538752362949} | {'accuracy': 0.7497603068072867} |
0.0275 | 252.0 | 16884 | 1.9151 | {'f1': 0.8275862068965517} | {'accuracy': 0.7363374880153404} |
0.0275 | 253.0 | 16951 | 1.5773 | {'f1': 0.8238213399503722} | {'accuracy': 0.7277085330776606} |
0.0461 | 254.0 | 17018 | 2.0981 | {'f1': 0.8206979542719615} | {'accuracy': 0.7142857142857143} |
0.0461 | 255.0 | 17085 | 2.0737 | {'f1': 0.8252605763335378} | {'accuracy': 0.7267497603068073} |
0.0461 | 256.0 | 17152 | 1.8176 | {'f1': 0.8289067325509574} | {'accuracy': 0.7344199424736337} |
0.0461 | 257.0 | 17219 | 1.6245 | {'f1': 0.8245505269683819} | {'accuracy': 0.7286673058485139} |
0.0461 | 258.0 | 17286 | 1.8441 | {'f1': 0.8164598301763553} | {'accuracy': 0.7305848513902206} |
0.0461 | 259.0 | 17353 | 1.9484 | {'f1': 0.8144853875476493} | {'accuracy': 0.7200383509108341} |
0.0461 | 260.0 | 17420 | 2.1485 | {'f1': 0.8215403882279273} | {'accuracy': 0.7267497603068073} |
0.0461 | 261.0 | 17487 | 1.9363 | {'f1': 0.8259513412351841} | {'accuracy': 0.7325023969319271} |
0.0489 | 262.0 | 17554 | 2.2427 | {'f1': 0.8221092757306225} | {'accuracy': 0.7315436241610739} |
0.0489 | 263.0 | 17621 | 2.2635 | {'f1': 0.820726622989875} | {'accuracy': 0.7114093959731543} |
0.0489 | 264.0 | 17688 | 2.4201 | {'f1': 0.8104993597951344} | {'accuracy': 0.716203259827421} |
0.0489 | 265.0 | 17755 | 1.9315 | {'f1': 0.8233861144945189} | {'accuracy': 0.7219558964525408} |
0.0489 | 266.0 | 17822 | 2.3904 | {'f1': 0.8264984227129337} | {'accuracy': 0.7363374880153404} |
0.0489 | 267.0 | 17889 | 2.6423 | {'f1': 0.8278021289918598} | {'accuracy': 0.7363374880153404} |
0.0489 | 268.0 | 17956 | 2.2025 | {'f1': 0.8239074550128535} | {'accuracy': 0.7372962607861937} |
0.0288 | 269.0 | 18023 | 1.9874 | {'f1': 0.8073979591836735} | {'accuracy': 0.710450623202301} |
0.0288 | 270.0 | 18090 | 2.0267 | {'f1': 0.828048780487805} | {'accuracy': 0.7296260786193672} |
0.0288 | 271.0 | 18157 | 2.2352 | {'f1': 0.8282051282051283} | {'accuracy': 0.7430488974113135} |
0.0288 | 272.0 | 18224 | 1.9815 | {'f1': 0.8220706757594544} | {'accuracy': 0.7248322147651006} |
0.0288 | 273.0 | 18291 | 2.7236 | {'f1': 0.8248932275777914} | {'accuracy': 0.7248322147651006} |
0.0288 | 274.0 | 18358 | 2.1210 | {'f1': 0.8193384223918576} | {'accuracy': 0.7277085330776606} |
0.0288 | 275.0 | 18425 | 2.5776 | {'f1': 0.8248792270531401} | {'accuracy': 0.7219558964525408} |
0.0288 | 276.0 | 18492 | 2.1042 | {'f1': 0.8208508088675853} | {'accuracy': 0.713326941514861} |
0.0416 | 277.0 | 18559 | 1.8552 | {'f1': 0.8140262993112085} | {'accuracy': 0.7152444870565676} |
0.0416 | 278.0 | 18626 | 2.0734 | {'f1': 0.8002610966057441} | {'accuracy': 0.7066155321188878} |
0.0416 | 279.0 | 18693 | 2.3946 | {'f1': 0.821556886227545} | {'accuracy': 0.7142857142857143} |
0.0416 | 280.0 | 18760 | 1.7123 | {'f1': 0.8124174372523117} | {'accuracy': 0.7277085330776606} |
0.0416 | 281.0 | 18827 | 1.9855 | {'f1': 0.8280024140012069} | {'accuracy': 0.7267497603068073} |
0.0416 | 282.0 | 18894 | 2.3011 | {'f1': 0.8117048346055981} | {'accuracy': 0.716203259827421} |
0.0416 | 283.0 | 18961 | 2.1751 | {'f1': 0.8228004956629492} | {'accuracy': 0.725790987535954} |
0.0462 | 284.0 | 19028 | 2.5432 | {'f1': 0.8175092478421702} | {'accuracy': 0.716203259827421} |
0.0462 | 285.0 | 19095 | 2.2849 | {'f1': 0.8243412797992472} | {'accuracy': 0.7315436241610739} |
0.0462 | 286.0 | 19162 | 1.9859 | {'f1': 0.8130899937067337} | {'accuracy': 0.7152444870565676} |
0.0462 | 287.0 | 19229 | 2.2404 | {'f1': 0.7999999999999999} | {'accuracy': 0.7142857142857143} |
0.0462 | 288.0 | 19296 | 2.1723 | {'f1': 0.8209331651954603} | {'accuracy': 0.7277085330776606} |
0.0462 | 289.0 | 19363 | 1.9516 | {'f1': 0.823529411764706} | {'accuracy': 0.7209971236816874} |
0.0462 | 290.0 | 19430 | 2.1546 | {'f1': 0.8211330362826226} | {'accuracy': 0.7305848513902206} |
0.0462 | 291.0 | 19497 | 2.9390 | {'f1': 0.8252080856123662} | {'accuracy': 0.7181208053691275} |
0.041 | 292.0 | 19564 | 2.3201 | {'f1': 0.8222506393861893} | {'accuracy': 0.7334611697027804} |
0.041 | 293.0 | 19631 | 2.6118 | {'f1': 0.8179611650485438} | {'accuracy': 0.7123681687440077} |
0.041 | 294.0 | 19698 | 1.7692 | {'f1': 0.8093434343434344} | {'accuracy': 0.710450623202301} |
0.041 | 295.0 | 19765 | 2.5789 | {'f1': 0.8227300802964793} | {'accuracy': 0.7248322147651006} |
0.041 | 296.0 | 19832 | 2.0399 | {'f1': 0.8208673790069139} | {'accuracy': 0.7267497603068073} |
0.041 | 297.0 | 19899 | 2.6656 | {'f1': 0.8179581795817958} | {'accuracy': 0.716203259827421} |
0.041 | 298.0 | 19966 | 2.2756 | {'f1': 0.8146766169154228} | {'accuracy': 0.7142857142857143} |
0.0474 | 299.0 | 20033 | 1.9462 | {'f1': 0.8010171646535282} | {'accuracy': 0.6999041227229147} |
0.0474 | 300.0 | 20100 | 2.2218 | {'f1': 0.8235294117647058} | {'accuracy': 0.7267497603068073} |
0.0474 | 301.0 | 20167 | 2.2877 | {'f1': 0.8103015075376885} | {'accuracy': 0.710450623202301} |
0.0474 | 302.0 | 20234 | 2.6322 | {'f1': 0.8128872366790583} | {'accuracy': 0.710450623202301} |
0.0474 | 303.0 | 20301 | 2.2655 | {'f1': 0.8052930056710776} | {'accuracy': 0.7037392138063279} |
0.0474 | 304.0 | 20368 | 2.2003 | {'f1': 0.8149100257069408} | {'accuracy': 0.7238734419942474} |
0.0474 | 305.0 | 20435 | 2.6404 | {'f1': 0.807667731629393} | {'accuracy': 0.7114093959731543} |
0.0324 | 306.0 | 20502 | 2.7714 | {'f1': 0.8075235109717868} | {'accuracy': 0.7056567593480345} |
0.0324 | 307.0 | 20569 | 1.7257 | {'f1': 0.8030592734225622} | {'accuracy': 0.7037392138063279} |
0.0324 | 308.0 | 20636 | 2.6082 | {'f1': 0.8185758513931888} | {'accuracy': 0.7190795781399808} |
0.0324 | 309.0 | 20703 | 2.1809 | {'f1': 0.794648829431438} | {'accuracy': 0.7056567593480345} |
0.0324 | 310.0 | 20770 | 2.9476 | {'f1': 0.816403785488959} | {'accuracy': 0.7209971236816874} |
0.0324 | 311.0 | 20837 | 2.7923 | {'f1': 0.8253195374315277} | {'accuracy': 0.7248322147651006} |
0.0324 | 312.0 | 20904 | 2.2389 | {'f1': 0.8131313131313133} | {'accuracy': 0.716203259827421} |
0.0324 | 313.0 | 20971 | 1.7982 | {'f1': 0.8032454361054766} | {'accuracy': 0.7209971236816874} |
0.0382 | 314.0 | 21038 | 2.6633 | {'f1': 0.8240963855421687} | {'accuracy': 0.7200383509108341} |
0.0382 | 315.0 | 21105 | 2.3866 | {'f1': 0.8121137206427689} | {'accuracy': 0.7085330776605945} |
0.0382 | 316.0 | 21172 | 2.5053 | {'f1': 0.7994687915006641} | {'accuracy': 0.710450623202301} |
0.0382 | 317.0 | 21239 | 2.2207 | {'f1': 0.8101910828025478} | {'accuracy': 0.7142857142857143} |
0.0382 | 318.0 | 21306 | 2.7643 | {'f1': 0.8096415327564895} | {'accuracy': 0.7046979865771812} |
0.0382 | 319.0 | 21373 | 2.3712 | {'f1': 0.8113564668769717} | {'accuracy': 0.713326941514861} |
0.0382 | 320.0 | 21440 | 2.2996 | {'f1': 0.8206388206388205} | {'accuracy': 0.7200383509108341} |
0.0418 | 321.0 | 21507 | 2.5491 | {'f1': 0.814451928965095} | {'accuracy': 0.7094918504314478} |
0.0418 | 322.0 | 21574 | 2.7706 | {'f1': 0.8107769423558898} | {'accuracy': 0.710450623202301} |
0.0418 | 323.0 | 21641 | 2.8649 | {'f1': 0.8020499679692504} | {'accuracy': 0.7037392138063279} |
0.0418 | 324.0 | 21708 | 2.6459 | {'f1': 0.8129272840273463} | {'accuracy': 0.7114093959731543} |
0.0418 | 325.0 | 21775 | 2.5675 | {'f1': 0.801819363222872} | {'accuracy': 0.7075743048897412} |
0.0418 | 326.0 | 21842 | 2.5088 | {'f1': 0.8041504539559015} | {'accuracy': 0.710450623202301} |
0.0418 | 327.0 | 21909 | 2.3865 | {'f1': 0.813102119460501} | {'accuracy': 0.7209971236816874} |
0.0418 | 328.0 | 21976 | 1.7388 | {'f1': 0.8135593220338984} | {'accuracy': 0.7152444870565676} |
0.0409 | 329.0 | 22043 | 2.2660 | {'f1': 0.8120590121872995} | {'accuracy': 0.7190795781399808} |
0.0409 | 330.0 | 22110 | 2.1168 | {'f1': 0.8243589743589743} | {'accuracy': 0.7372962607861937} |
0.0409 | 331.0 | 22177 | 1.7795 | {'f1': 0.808860759493671} | {'accuracy': 0.710450623202301} |
0.0409 | 332.0 | 22244 | 2.4792 | {'f1': 0.8220338983050848} | {'accuracy': 0.7181208053691275} |
0.0409 | 333.0 | 22311 | 2.6088 | {'f1': 0.8208232445520581} | {'accuracy': 0.716203259827421} |
0.0409 | 334.0 | 22378 | 2.1811 | {'f1': 0.8202044497895369} | {'accuracy': 0.713326941514861} |
0.0409 | 335.0 | 22445 | 2.2655 | {'f1': 0.8227383863080685} | {'accuracy': 0.7219558964525408} |
0.0527 | 336.0 | 22512 | 2.4099 | {'f1': 0.8207024029574863} | {'accuracy': 0.7209971236816874} |
0.0527 | 337.0 | 22579 | 2.3964 | {'f1': 0.8268864933417883} | {'accuracy': 0.738255033557047} |
0.0527 | 338.0 | 22646 | 2.4282 | {'f1': 0.8138195777351248} | {'accuracy': 0.7209971236816874} |
0.0527 | 339.0 | 22713 | 2.3533 | {'f1': 0.8166449934980494} | {'accuracy': 0.7296260786193672} |
0.0527 | 340.0 | 22780 | 2.1900 | {'f1': 0.8077419354838709} | {'accuracy': 0.7142857142857143} |
0.0527 | 341.0 | 22847 | 2.4321 | {'f1': 0.8122215149586252} | {'accuracy': 0.7171620325982742} |
0.0527 | 342.0 | 22914 | 2.3091 | {'f1': 0.8198757763975155} | {'accuracy': 0.7219558964525408} |
0.0527 | 343.0 | 22981 | 2.4390 | {'f1': 0.8176656151419559} | {'accuracy': 0.7229146692233941} |
0.0289 | 344.0 | 23048 | 2.5702 | {'f1': 0.8175716900549117} | {'accuracy': 0.713326941514861} |
0.0289 | 345.0 | 23115 | 1.9220 | {'f1': 0.8176254589963282} | {'accuracy': 0.7142857142857143} |
0.0289 | 346.0 | 23182 | 2.3594 | {'f1': 0.8113329040566645} | {'accuracy': 0.7190795781399808} |
0.0289 | 347.0 | 23249 | 2.3536 | {'f1': 0.8052287581699347} | {'accuracy': 0.7142857142857143} |
0.0289 | 348.0 | 23316 | 2.2539 | {'f1': 0.8160200250312891} | {'accuracy': 0.7181208053691275} |
0.0289 | 349.0 | 23383 | 2.3483 | {'f1': 0.8212974296205632} | {'accuracy': 0.7200383509108341} |
0.0289 | 350.0 | 23450 | 1.9325 | {'f1': 0.8212739641311071} | {'accuracy': 0.7229146692233941} |
0.0405 | 351.0 | 23517 | 2.4634 | {'f1': 0.8167604752970606} | {'accuracy': 0.7190795781399808} |
0.0405 | 352.0 | 23584 | 2.2731 | {'f1': 0.8167475728155339} | {'accuracy': 0.710450623202301} |
0.0405 | 353.0 | 23651 | 2.0062 | {'f1': 0.7892976588628762} | {'accuracy': 0.697986577181208} |
0.0405 | 354.0 | 23718 | 1.9145 | {'f1': 0.8159392789373814} | {'accuracy': 0.7209971236816874} |
0.0405 | 355.0 | 23785 | 2.9562 | {'f1': 0.81375} | {'accuracy': 0.7142857142857143} |
0.0405 | 356.0 | 23852 | 2.9342 | {'f1': 0.8124223602484472} | {'accuracy': 0.710450623202301} |
0.0405 | 357.0 | 23919 | 2.5976 | {'f1': 0.8152866242038218} | {'accuracy': 0.7219558964525408} |
0.0405 | 358.0 | 23986 | 1.6304 | {'f1': 0.7869071476285905} | {'accuracy': 0.6941514860977949} |
0.0457 | 359.0 | 24053 | 2.1675 | {'f1': 0.8139682539682539} | {'accuracy': 0.7190795781399808} |
0.0457 | 360.0 | 24120 | 1.7896 | {'f1': 0.806679511881824} | {'accuracy': 0.7114093959731543} |
0.0457 | 361.0 | 24187 | 2.2589 | {'f1': 0.8126582278481014} | {'accuracy': 0.716203259827421} |
0.0457 | 362.0 | 24254 | 1.9431 | {'f1': 0.8046124279308136} | {'accuracy': 0.7075743048897412} |
0.0457 | 363.0 | 24321 | 2.3498 | {'f1': 0.8158236057068741} | {'accuracy': 0.7277085330776606} |
0.0457 | 364.0 | 24388 | 2.5436 | {'f1': 0.8210262828535669} | {'accuracy': 0.725790987535954} |
0.0457 | 365.0 | 24455 | 1.9622 | {'f1': 0.8308065494238933} | {'accuracy': 0.7325023969319271} |
0.0452 | 366.0 | 24522 | 1.6269 | {'f1': 0.8160843770599867} | {'accuracy': 0.7325023969319271} |
0.0452 | 367.0 | 24589 | 2.1990 | {'f1': 0.8069722401549386} | {'accuracy': 0.713326941514861} |
0.0452 | 368.0 | 24656 | 2.4314 | {'f1': 0.8012618296529969} | {'accuracy': 0.697986577181208} |
0.0452 | 369.0 | 24723 | 2.0470 | {'f1': 0.8100313479623824} | {'accuracy': 0.7094918504314478} |
0.0452 | 370.0 | 24790 | 1.7554 | {'f1': 0.8146311221326721} | {'accuracy': 0.713326941514861} |
0.0452 | 371.0 | 24857 | 2.1574 | {'f1': 0.8109452736318408} | {'accuracy': 0.7085330776605945} |
0.0452 | 372.0 | 24924 | 2.2657 | {'f1': 0.8231780167264038} | {'accuracy': 0.716203259827421} |
0.0452 | 373.0 | 24991 | 2.3055 | {'f1': 0.8071693448702103} | {'accuracy': 0.700862895493768} |
0.0914 | 374.0 | 25058 | 2.3216 | {'f1': 0.8025974025974024} | {'accuracy': 0.7085330776605945} |
0.0914 | 375.0 | 25125 | 2.2130 | {'f1': 0.7994808565866321} | {'accuracy': 0.7037392138063279} |
0.0914 | 376.0 | 25192 | 2.2914 | {'f1': 0.8099934253780406} | {'accuracy': 0.7229146692233941} |
0.0914 | 377.0 | 25259 | 2.5699 | {'f1': 0.8206083178150217} | {'accuracy': 0.7229146692233941} |
0.0914 | 378.0 | 25326 | 1.9869 | {'f1': 0.8013071895424836} | {'accuracy': 0.7085330776605945} |
0.0914 | 379.0 | 25393 | 2.1948 | {'f1': 0.8162230671736376} | {'accuracy': 0.7219558964525408} |
0.0914 | 380.0 | 25460 | 2.1536 | {'f1': 0.810223642172524} | {'accuracy': 0.7152444870565676} |
0.0395 | 381.0 | 25527 | 2.3973 | {'f1': 0.8211432083589428} | {'accuracy': 0.7209971236816874} |
0.0395 | 382.0 | 25594 | 2.1912 | {'f1': 0.8254364089775562} | {'accuracy': 0.7315436241610739} |
0.0395 | 383.0 | 25661 | 2.1772 | {'f1': 0.8290282902829028} | {'accuracy': 0.7334611697027804} |
0.0395 | 384.0 | 25728 | 2.4328 | {'f1': 0.8181818181818182} | {'accuracy': 0.7238734419942474} |
0.0395 | 385.0 | 25795 | 2.5761 | {'f1': 0.8173374613003097} | {'accuracy': 0.7171620325982742} |
0.0395 | 386.0 | 25862 | 2.6663 | {'f1': 0.8079132099553288} | {'accuracy': 0.7114093959731543} |
0.0395 | 387.0 | 25929 | 2.2974 | {'f1': 0.8219674109837054} | {'accuracy': 0.7171620325982742} |
0.0395 | 388.0 | 25996 | 2.4381 | {'f1': 0.7986798679867987} | {'accuracy': 0.7075743048897412} |
0.024 | 389.0 | 26063 | 2.5959 | {'f1': 0.8231780167264038} | {'accuracy': 0.716203259827421} |
0.024 | 390.0 | 26130 | 2.7005 | {'f1': 0.8264563106796117} | {'accuracy': 0.725790987535954} |
0.024 | 391.0 | 26197 | 2.5189 | {'f1': 0.8240190249702736} | {'accuracy': 0.716203259827421} |
0.024 | 392.0 | 26264 | 2.6093 | {'f1': 0.8107074569789675} | {'accuracy': 0.7152444870565676} |
0.024 | 393.0 | 26331 | 2.3561 | {'f1': 0.8181246066708623} | {'accuracy': 0.7229146692233941} |
0.024 | 394.0 | 26398 | 2.2714 | {'f1': 0.8104412678682411} | {'accuracy': 0.7075743048897412} |
0.024 | 395.0 | 26465 | 2.1117 | {'f1': 0.8092557848655411} | {'accuracy': 0.7075743048897412} |
0.0367 | 396.0 | 26532 | 2.4974 | {'f1': 0.8220640569395018} | {'accuracy': 0.7123681687440077} |
0.0367 | 397.0 | 26599 | 1.9040 | {'f1': 0.8174554394591272} | {'accuracy': 0.7152444870565676} |
0.0367 | 398.0 | 26666 | 1.5585 | {'f1': 0.8066006600660067} | {'accuracy': 0.7190795781399808} |
0.0367 | 399.0 | 26733 | 1.9950 | {'f1': 0.8253776435045317} | {'accuracy': 0.7229146692233941} |
0.0367 | 400.0 | 26800 | 1.9111 | {'f1': 0.8234575442883324} | {'accuracy': 0.7229146692233941} |
0.0367 | 401.0 | 26867 | 1.4995 | {'f1': 0.823529411764706} | {'accuracy': 0.7209971236816874} |
0.0367 | 402.0 | 26934 | 2.1345 | {'f1': 0.8226691042047533} | {'accuracy': 0.7209971236816874} |
0.0646 | 403.0 | 27001 | 1.7191 | {'f1': 0.8225214198286412} | {'accuracy': 0.7219558964525408} |
0.0646 | 404.0 | 27068 | 2.0604 | {'f1': 0.8211678832116789} | {'accuracy': 0.7181208053691275} |
0.0646 | 405.0 | 27135 | 2.0836 | {'f1': 0.8091982597886886} | {'accuracy': 0.7056567593480345} |
0.0646 | 406.0 | 27202 | 1.9948 | {'f1': 0.8183990442054957} | {'accuracy': 0.7085330776605945} |
0.0646 | 407.0 | 27269 | 1.8891 | {'f1': 0.8133848133848134} | {'accuracy': 0.7219558964525408} |
0.0646 | 408.0 | 27336 | 2.0439 | {'f1': 0.81408276714021} | {'accuracy': 0.7114093959731543} |
0.0646 | 409.0 | 27403 | 2.0130 | {'f1': 0.818407960199005} | {'accuracy': 0.7200383509108341} |
0.0646 | 410.0 | 27470 | 2.1755 | {'f1': 0.8202933985330072} | {'accuracy': 0.7181208053691275} |
0.0431 | 411.0 | 27537 | 2.4976 | {'f1': 0.8138265615524559} | {'accuracy': 0.7056567593480345} |
0.0431 | 412.0 | 27604 | 2.4375 | {'f1': 0.8181276088252833} | {'accuracy': 0.7075743048897412} |
0.0431 | 413.0 | 27671 | 2.2452 | {'f1': 0.8152309612983771} | {'accuracy': 0.716203259827421} |
0.0431 | 414.0 | 27738 | 1.9194 | {'f1': 0.8153180975911056} | {'accuracy': 0.713326941514861} |
0.0431 | 415.0 | 27805 | 1.8687 | {'f1': 0.8175797712221553} | {'accuracy': 0.7094918504314478} |
0.0431 | 416.0 | 27872 | 1.9813 | {'f1': 0.8098859315589353} | {'accuracy': 0.7123681687440077} |
0.0431 | 417.0 | 27939 | 2.2467 | {'f1': 0.8194945848375452} | {'accuracy': 0.7123681687440077} |
0.0511 | 418.0 | 28006 | 2.2551 | {'f1': 0.7979207277452891} | {'accuracy': 0.7018216682646213} |
0.0511 | 419.0 | 28073 | 2.5472 | {'f1': 0.8175270108043217} | {'accuracy': 0.7085330776605945} |
0.0511 | 420.0 | 28140 | 2.4943 | {'f1': 0.8122270742358079} | {'accuracy': 0.7114093959731543} |
0.0511 | 421.0 | 28207 | 2.3186 | {'f1': 0.8051787916152899} | {'accuracy': 0.6970278044103547} |
0.0511 | 422.0 | 28274 | 1.6622 | {'f1': 0.818505338078292} | {'accuracy': 0.7066155321188878} |
0.0511 | 423.0 | 28341 | 1.6588 | {'f1': 0.8065948002536462} | {'accuracy': 0.7075743048897412} |
0.0511 | 424.0 | 28408 | 1.8815 | {'f1': 0.8159203980099502} | {'accuracy': 0.716203259827421} |
0.0511 | 425.0 | 28475 | 2.6952 | {'f1': 0.8204826368452031} | {'accuracy': 0.7075743048897412} |
0.0442 | 426.0 | 28542 | 2.2629 | {'f1': 0.7834912043301759} | {'accuracy': 0.6931927133269415} |
0.0442 | 427.0 | 28609 | 2.4604 | {'f1': 0.8113207547169811} | {'accuracy': 0.7123681687440077} |
0.0442 | 428.0 | 28676 | 2.4236 | {'f1': 0.8120300751879699} | {'accuracy': 0.7123681687440077} |
0.0442 | 429.0 | 28743 | 2.3787 | {'f1': 0.8069522036002483} | {'accuracy': 0.7018216682646213} |
0.0442 | 430.0 | 28810 | 2.6287 | {'f1': 0.8048010107391032} | {'accuracy': 0.7037392138063279} |
0.0442 | 431.0 | 28877 | 2.8007 | {'f1': 0.8099378881987577} | {'accuracy': 0.7066155321188878} |
0.0442 | 432.0 | 28944 | 2.0701 | {'f1': 0.8114355231143553} | {'accuracy': 0.7027804410354745} |
0.0386 | 433.0 | 29011 | 2.3022 | {'f1': 0.818734793187348} | {'accuracy': 0.7142857142857143} |
0.0386 | 434.0 | 29078 | 2.3692 | {'f1': 0.8183464091732044} | {'accuracy': 0.7114093959731543} |
0.0386 | 435.0 | 29145 | 1.9739 | {'f1': 0.7915006640106242} | {'accuracy': 0.6989453499520614} |
0.0386 | 436.0 | 29212 | 2.6539 | {'f1': 0.8201438848920862} | {'accuracy': 0.7123681687440077} |
0.0386 | 437.0 | 29279 | 2.0914 | {'f1': 0.8189349112426034} | {'accuracy': 0.7066155321188878} |
0.0386 | 438.0 | 29346 | 1.6843 | {'f1': 0.8028442146089204} | {'accuracy': 0.7075743048897412} |
0.0386 | 439.0 | 29413 | 2.3401 | {'f1': 0.8071979434447301} | {'accuracy': 0.7123681687440077} |
0.0386 | 440.0 | 29480 | 2.0851 | {'f1': 0.798439531859558} | {'accuracy': 0.7027804410354745} |
0.0499 | 441.0 | 29547 | 2.4879 | {'f1': 0.8068833652007648} | {'accuracy': 0.7094918504314478} |
0.0499 | 442.0 | 29614 | 2.2249 | {'f1': 0.8091312618896639} | {'accuracy': 0.7114093959731543} |
0.0499 | 443.0 | 29681 | 2.1213 | {'f1': 0.8156626506024097} | {'accuracy': 0.7066155321188878} |
0.0499 | 444.0 | 29748 | 1.8230 | {'f1': 0.8075471698113207} | {'accuracy': 0.7066155321188878} |
0.0499 | 445.0 | 29815 | 1.8171 | {'f1': 0.8083538083538083} | {'accuracy': 0.700862895493768} |
0.0499 | 446.0 | 29882 | 2.4010 | {'f1': 0.804032766225583} | {'accuracy': 0.7018216682646213} |
0.0499 | 447.0 | 29949 | 2.3025 | {'f1': 0.8109422492401216} | {'accuracy': 0.7018216682646213} |
0.0467 | 448.0 | 30016 | 2.2767 | {'f1': 0.8002594033722438} | {'accuracy': 0.7046979865771812} |
0.0467 | 449.0 | 30083 | 2.3837 | {'f1': 0.8098461538461539} | {'accuracy': 0.7037392138063279} |
0.0467 | 450.0 | 30150 | 2.3366 | {'f1': 0.79155672823219} | {'accuracy': 0.6970278044103547} |
0.0467 | 451.0 | 30217 | 2.5564 | {'f1': 0.8084054388133497} | {'accuracy': 0.7027804410354745} |
0.0467 | 452.0 | 30284 | 2.8377 | {'f1': 0.7928616953473551} | {'accuracy': 0.6883988494726749} |
0.0467 | 453.0 | 30351 | 2.6419 | {'f1': 0.7974603174603174} | {'accuracy': 0.6941514860977949} |
0.0467 | 454.0 | 30418 | 2.2656 | {'f1': 0.8121890547263683} | {'accuracy': 0.710450623202301} |
0.0467 | 455.0 | 30485 | 2.4709 | {'f1': 0.8117001828153565} | {'accuracy': 0.7037392138063279} |
0.0359 | 456.0 | 30552 | 2.3638 | {'f1': 0.8032890575585073} | {'accuracy': 0.7018216682646213} |
0.0359 | 457.0 | 30619 | 2.7646 | {'f1': 0.8050473186119874} | {'accuracy': 0.7037392138063279} |
0.0359 | 458.0 | 30686 | 2.6722 | {'f1': 0.8128872366790583} | {'accuracy': 0.710450623202301} |
0.0359 | 459.0 | 30753 | 2.5933 | {'f1': 0.7979274611398963} | {'accuracy': 0.700862895493768} |
0.0359 | 460.0 | 30820 | 2.7543 | {'f1': 0.7897106109324757} | {'accuracy': 0.6864813039309684} |
0.0359 | 461.0 | 30887 | 2.9402 | {'f1': 0.7989886219974714} | {'accuracy': 0.6951102588686481} |
0.0359 | 462.0 | 30954 | 2.8300 | {'f1': 0.8048624440179143} | {'accuracy': 0.7075743048897412} |
0.0132 | 463.0 | 31021 | 3.0932 | {'f1': 0.8148591971240263} | {'accuracy': 0.7037392138063279} |
0.0132 | 464.0 | 31088 | 2.5593 | {'f1': 0.8095838587641866} | {'accuracy': 0.710450623202301} |
0.0132 | 465.0 | 31155 | 2.5467 | {'f1': 0.8194103194103194} | {'accuracy': 0.7181208053691275} |
0.0132 | 466.0 | 31222 | 2.2788 | {'f1': 0.8134146341463414} | {'accuracy': 0.7066155321188878} |
0.0132 | 467.0 | 31289 | 2.0336 | {'f1': 0.8010139416983524} | {'accuracy': 0.6989453499520614} |
0.0132 | 468.0 | 31356 | 2.5556 | {'f1': 0.8223844282238443} | {'accuracy': 0.7200383509108341} |
0.0132 | 469.0 | 31423 | 2.4964 | {'f1': 0.8109452736318408} | {'accuracy': 0.7085330776605945} |
0.0132 | 470.0 | 31490 | 2.2595 | {'f1': 0.8194038573933372} | {'accuracy': 0.7037392138063279} |
0.0382 | 471.0 | 31557 | 2.5274 | {'f1': 0.8084840923268871} | {'accuracy': 0.7056567593480345} |
0.0382 | 472.0 | 31624 | 2.2212 | {'f1': 0.7900262467191601} | {'accuracy': 0.6931927133269415} |
0.0382 | 473.0 | 31691 | 2.1180 | {'f1': 0.8042131350681536} | {'accuracy': 0.6970278044103547} |
0.0382 | 474.0 | 31758 | 2.0381 | {'f1': 0.8032078963602715} | {'accuracy': 0.6941514860977949} |
0.0382 | 475.0 | 31825 | 2.0838 | {'f1': 0.792884371029225} | {'accuracy': 0.6874400767018217} |
0.0382 | 476.0 | 31892 | 2.3084 | {'f1': 0.7821380243572394} | {'accuracy': 0.6912751677852349} |
0.0382 | 477.0 | 31959 | 1.7853 | {'f1': 0.8081431215299197} | {'accuracy': 0.7018216682646213} |
0.0599 | 478.0 | 32026 | 1.9570 | {'f1': 0.813664596273292} | {'accuracy': 0.7123681687440077} |
0.0599 | 479.0 | 32093 | 1.5326 | {'f1': 0.7922077922077921} | {'accuracy': 0.6931927133269415} |
0.0599 | 480.0 | 32160 | 2.1677 | {'f1': 0.8061919504643963} | {'accuracy': 0.6999041227229147} |
0.0599 | 481.0 | 32227 | 2.1801 | {'f1': 0.8120024494794856} | {'accuracy': 0.7056567593480345} |
0.0599 | 482.0 | 32294 | 2.3462 | {'f1': 0.7946084724005135} | {'accuracy': 0.6931927133269415} |
0.0599 | 483.0 | 32361 | 2.1676 | {'f1': 0.8105134474327629} | {'accuracy': 0.7027804410354745} |
0.0599 | 484.0 | 32428 | 2.5977 | {'f1': 0.8122009569377991} | {'accuracy': 0.6989453499520614} |
0.0599 | 485.0 | 32495 | 2.1667 | {'f1': 0.7940606843124596} | {'accuracy': 0.6941514860977949} |
0.0537 | 486.0 | 32562 | 2.1769 | {'f1': 0.8059332509270706} | {'accuracy': 0.6989453499520614} |
0.0537 | 487.0 | 32629 | 2.5492 | {'f1': 0.8170878459687124} | {'accuracy': 0.7085330776605945} |
0.0537 | 488.0 | 32696 | 1.7762 | {'f1': 0.8200734394124847} | {'accuracy': 0.7181208053691275} |
0.0537 | 489.0 | 32763 | 2.1828 | {'f1': 0.8159806295399515} | {'accuracy': 0.7085330776605945} |
0.0537 | 490.0 | 32830 | 1.9588 | {'f1': 0.8112058465286237} | {'accuracy': 0.7027804410354745} |
0.0537 | 491.0 | 32897 | 2.3288 | {'f1': 0.8082966687617851} | {'accuracy': 0.7075743048897412} |
0.0537 | 492.0 | 32964 | 1.9554 | {'f1': 0.8090169067000627} | {'accuracy': 0.7075743048897412} |
0.0471 | 493.0 | 33031 | 2.1079 | {'f1': 0.795275590551181} | {'accuracy': 0.700862895493768} |
0.0471 | 494.0 | 33098 | 2.3960 | {'f1': 0.8101109741060419} | {'accuracy': 0.7046979865771812} |
0.0471 | 495.0 | 33165 | 2.4487 | {'f1': 0.8075980392156863} | {'accuracy': 0.6989453499520614} |
0.0471 | 496.0 | 33232 | 2.0555 | {'f1': 0.8035153797865663} | {'accuracy': 0.6999041227229147} |
0.0471 | 497.0 | 33299 | 2.3137 | {'f1': 0.820726622989875} | {'accuracy': 0.7114093959731543} |
0.0471 | 498.0 | 33366 | 2.2627 | {'f1': 0.8139109212934718} | {'accuracy': 0.7075743048897412} |
0.0471 | 499.0 | 33433 | 2.3648 | {'f1': 0.8103666245259167} | {'accuracy': 0.7123681687440077} |
0.037 | 500.0 | 33500 | 2.2585 | {'f1': 0.8097014925373134} | {'accuracy': 0.7066155321188878} |
0.037 | 501.0 | 33567 | 2.5414 | {'f1': 0.8043065231158961} | {'accuracy': 0.7037392138063279} |
0.037 | 502.0 | 33634 | 2.0504 | {'f1': 0.7771812080536912} | {'accuracy': 0.6816874400767018} |
0.037 | 503.0 | 33701 | 2.3979 | {'f1': 0.7771812080536912} | {'accuracy': 0.6816874400767018} |
0.037 | 504.0 | 33768 | 2.3181 | {'f1': 0.8092848180677541} | {'accuracy': 0.7085330776605945} |
0.037 | 505.0 | 33835 | 2.3441 | {'f1': 0.8117001828153565} | {'accuracy': 0.7037392138063279} |
0.037 | 506.0 | 33902 | 2.3099 | {'f1': 0.7910543130990415} | {'accuracy': 0.6864813039309684} |
0.037 | 507.0 | 33969 | 2.1127 | {'f1': 0.8188494492044064} | {'accuracy': 0.716203259827421} |
0.0451 | 508.0 | 34036 | 1.9561 | {'f1': 0.795514511873351} | {'accuracy': 0.7027804410354745} |
0.0451 | 509.0 | 34103 | 2.5913 | {'f1': 0.8097859327217125} | {'accuracy': 0.7018216682646213} |
0.0451 | 510.0 | 34170 | 2.6783 | {'f1': 0.8090024330900243} | {'accuracy': 0.6989453499520614} |
0.0451 | 511.0 | 34237 | 2.3005 | {'f1': 0.7969446212603437} | {'accuracy': 0.6941514860977949} |
0.0451 | 512.0 | 34304 | 2.4023 | {'f1': 0.7933461292386437} | {'accuracy': 0.6903163950143816} |
0.0451 | 513.0 | 34371 | 2.6818 | {'f1': 0.8095238095238095} | {'accuracy': 0.700862895493768} |
0.0451 | 514.0 | 34438 | 2.1933 | {'f1': 0.8079132099553288} | {'accuracy': 0.7114093959731543} |
0.0393 | 515.0 | 34505 | 2.6690 | {'f1': 0.8058191018342822} | {'accuracy': 0.7056567593480345} |
0.0393 | 516.0 | 34572 | 2.3618 | {'f1': 0.8068251066422912} | {'accuracy': 0.6960690316395014} |
0.0393 | 517.0 | 34639 | 2.8743 | {'f1': 0.8103864734299516} | {'accuracy': 0.6989453499520614} |
0.0393 | 518.0 | 34706 | 2.9690 | {'f1': 0.8058787507654622} | {'accuracy': 0.6960690316395014} |
0.0393 | 519.0 | 34773 | 2.3748 | {'f1': 0.8031088082901554} | {'accuracy': 0.7085330776605945} |
0.0393 | 520.0 | 34840 | 2.2713 | {'f1': 0.8125786163522014} | {'accuracy': 0.7142857142857143} |
0.0393 | 521.0 | 34907 | 2.6104 | {'f1': 0.8195718654434251} | {'accuracy': 0.7171620325982742} |
0.0393 | 522.0 | 34974 | 2.0309 | {'f1': 0.8090737240075614} | {'accuracy': 0.7094918504314478} |
0.0238 | 523.0 | 35041 | 2.2192 | {'f1': 0.8153266331658292} | {'accuracy': 0.7181208053691275} |
0.0238 | 524.0 | 35108 | 2.4821 | {'f1': 0.8149532710280374} | {'accuracy': 0.7152444870565676} |
0.0238 | 525.0 | 35175 | 2.8744 | {'f1': 0.799493991144845} | {'accuracy': 0.6960690316395014} |
0.0238 | 526.0 | 35242 | 2.1730 | {'f1': 0.8149969268592502} | {'accuracy': 0.7114093959731543} |
0.0238 | 527.0 | 35309 | 2.2129 | {'f1': 0.8200371057513913} | {'accuracy': 0.7209971236816874} |
0.0238 | 528.0 | 35376 | 2.1640 | {'f1': 0.8076923076923077} | {'accuracy': 0.7027804410354745} |
0.0238 | 529.0 | 35443 | 2.3380 | {'f1': 0.7937743190661478} | {'accuracy': 0.6951102588686481} |
0.039 | 530.0 | 35510 | 1.7860 | {'f1': 0.8160493827160494} | {'accuracy': 0.7142857142857143} |
0.039 | 531.0 | 35577 | 2.2993 | {'f1': 0.8109756097560975} | {'accuracy': 0.7027804410354745} |
0.039 | 532.0 | 35644 | 2.5410 | {'f1': 0.7942708333333334} | {'accuracy': 0.6970278044103547} |
0.039 | 533.0 | 35711 | 2.3915 | {'f1': 0.7966211825860949} | {'accuracy': 0.6999041227229147} |
0.039 | 534.0 | 35778 | 2.6411 | {'f1': 0.8033526756931012} | {'accuracy': 0.7075743048897412} |
0.039 | 535.0 | 35845 | 2.2428 | {'f1': 0.8173374613003097} | {'accuracy': 0.7171620325982742} |
0.039 | 536.0 | 35912 | 2.1045 | {'f1': 0.8107098381070984} | {'accuracy': 0.7085330776605945} |
0.039 | 537.0 | 35979 | 1.8005 | {'f1': 0.8150991682661549} | {'accuracy': 0.7229146692233941} |
0.0568 | 538.0 | 36046 | 1.6370 | {'f1': 0.8010335917312661} | {'accuracy': 0.7046979865771812} |
0.0568 | 539.0 | 36113 | 1.5732 | {'f1': 0.8131595282433273} | {'accuracy': 0.7114093959731543} |
0.0568 | 540.0 | 36180 | 2.0270 | {'f1': 0.8089330024813897} | {'accuracy': 0.7046979865771812} |
0.0568 | 541.0 | 36247 | 1.8452 | {'f1': 0.8059149722735675} | {'accuracy': 0.697986577181208} |
0.0568 | 542.0 | 36314 | 1.8483 | {'f1': 0.8175716900549117} | {'accuracy': 0.713326941514861} |
0.0568 | 543.0 | 36381 | 1.8150 | {'f1': 0.8097928436911487} | {'accuracy': 0.7094918504314478} |
0.0568 | 544.0 | 36448 | 2.2707 | {'f1': 0.8103448275862069} | {'accuracy': 0.7046979865771812} |
0.0695 | 545.0 | 36515 | 2.1661 | {'f1': 0.8074534161490684} | {'accuracy': 0.7027804410354745} |
0.0695 | 546.0 | 36582 | 2.2092 | {'f1': 0.8116646415552856} | {'accuracy': 0.7027804410354745} |
0.0695 | 547.0 | 36649 | 2.4352 | {'f1': 0.8118811881188118} | {'accuracy': 0.7085330776605945} |
0.0695 | 548.0 | 36716 | 2.4322 | {'f1': 0.8132530120481928} | {'accuracy': 0.7027804410354745} |
0.0695 | 549.0 | 36783 | 2.4683 | {'f1': 0.8020434227330779} | {'accuracy': 0.7027804410354745} |
0.0695 | 550.0 | 36850 | 2.5210 | {'f1': 0.8160779537149817} | {'accuracy': 0.710450623202301} |
0.0695 | 551.0 | 36917 | 2.3124 | {'f1': 0.8137254901960785} | {'accuracy': 0.7085330776605945} |
0.0695 | 552.0 | 36984 | 2.4882 | {'f1': 0.8118811881188118} | {'accuracy': 0.7085330776605945} |
0.0361 | 553.0 | 37051 | 2.4595 | {'f1': 0.8191616766467065} | {'accuracy': 0.710450623202301} |
0.0361 | 554.0 | 37118 | 2.5541 | {'f1': 0.7876844130853111} | {'accuracy': 0.6826462128475551} |
0.0361 | 555.0 | 37185 | 2.5945 | {'f1': 0.8034717916924985} | {'accuracy': 0.6960690316395014} |
0.0361 | 556.0 | 37252 | 2.5673 | {'f1': 0.788339670468948} | {'accuracy': 0.6797698945349953} |
0.0361 | 557.0 | 37319 | 2.1672 | {'f1': 0.8191616766467065} | {'accuracy': 0.710450623202301} |
0.0361 | 558.0 | 37386 | 2.7027 | {'f1': 0.813953488372093} | {'accuracy': 0.7085330776605945} |
0.0361 | 559.0 | 37453 | 2.3369 | {'f1': 0.7664184157075152} | {'accuracy': 0.6692233940556088} |
0.0436 | 560.0 | 37520 | 2.6217 | {'f1': 0.8177458033573142} | {'accuracy': 0.7085330776605945} |
0.0436 | 561.0 | 37587 | 2.2838 | {'f1': 0.793233082706767} | {'accuracy': 0.6836049856184084} |
0.0436 | 562.0 | 37654 | 1.5427 | {'f1': 0.8081683168316832} | {'accuracy': 0.7027804410354745} |
0.0436 | 563.0 | 37721 | 2.1033 | {'f1': 0.819277108433735} | {'accuracy': 0.7123681687440077} |
0.0436 | 564.0 | 37788 | 1.9698 | {'f1': 0.8040455120101138} | {'accuracy': 0.7027804410354745} |
0.0436 | 565.0 | 37855 | 2.2723 | {'f1': 0.8101109741060419} | {'accuracy': 0.7046979865771812} |
0.0436 | 566.0 | 37922 | 2.5385 | {'f1': 0.80306905370844} | {'accuracy': 0.7046979865771812} |
0.0436 | 567.0 | 37989 | 2.5538 | {'f1': 0.8231046931407942} | {'accuracy': 0.7181208053691275} |
0.0461 | 568.0 | 38056 | 2.4827 | {'f1': 0.8141486810551558} | {'accuracy': 0.7027804410354745} |
0.0461 | 569.0 | 38123 | 2.3785 | {'f1': 0.7999999999999999} | {'accuracy': 0.6951102588686481} |
0.0461 | 570.0 | 38190 | 2.7981 | {'f1': 0.8029832193909261} | {'accuracy': 0.6960690316395014} |
0.0461 | 571.0 | 38257 | 2.1357 | {'f1': 0.8118081180811809} | {'accuracy': 0.7066155321188878} |
0.0461 | 572.0 | 38324 | 2.7900 | {'f1': 0.8149969268592502} | {'accuracy': 0.7114093959731543} |
0.0461 | 573.0 | 38391 | 2.8126 | {'f1': 0.815884476534296} | {'accuracy': 0.7066155321188878} |
0.0461 | 574.0 | 38458 | 2.5137 | {'f1': 0.7868852459016393} | {'accuracy': 0.6883988494726749} |
0.0366 | 575.0 | 38525 | 2.4885 | {'f1': 0.8122699386503068} | {'accuracy': 0.7066155321188878} |
0.0366 | 576.0 | 38592 | 3.0395 | {'f1': 0.813027744270205} | {'accuracy': 0.7027804410354745} |
0.0366 | 577.0 | 38659 | 2.0957 | {'f1': 0.8171912832929782} | {'accuracy': 0.710450623202301} |
0.0366 | 578.0 | 38726 | 2.5584 | {'f1': 0.8127294981640146} | {'accuracy': 0.7066155321188878} |
0.0366 | 579.0 | 38793 | 2.5713 | {'f1': 0.8022670025188916} | {'accuracy': 0.6989453499520614} |
0.0366 | 580.0 | 38860 | 2.5069 | {'f1': 0.7982120051085568} | {'accuracy': 0.6970278044103547} |
0.0366 | 581.0 | 38927 | 2.1142 | {'f1': 0.7951188182402056} | {'accuracy': 0.6941514860977949} |
0.0366 | 582.0 | 38994 | 2.3526 | {'f1': 0.8133738601823709} | {'accuracy': 0.7056567593480345} |
0.0236 | 583.0 | 39061 | 2.7165 | {'f1': 0.8095808383233534} | {'accuracy': 0.6951102588686481} |
0.0236 | 584.0 | 39128 | 2.8171 | {'f1': 0.8122699386503068} | {'accuracy': 0.7066155321188878} |
0.0236 | 585.0 | 39195 | 2.3883 | {'f1': 0.8121951219512195} | {'accuracy': 0.7046979865771812} |
0.0236 | 586.0 | 39262 | 2.9680 | {'f1': 0.8142770719903207} | {'accuracy': 0.7056567593480345} |
0.0236 | 587.0 | 39329 | 3.0047 | {'f1': 0.8142857142857143} | {'accuracy': 0.700862895493768} |
0.0236 | 588.0 | 39396 | 2.2553 | {'f1': 0.8055207026348808} | {'accuracy': 0.7027804410354745} |
0.0236 | 589.0 | 39463 | 1.8848 | {'f1': 0.8010302640051513} | {'accuracy': 0.7037392138063279} |
0.0346 | 590.0 | 39530 | 2.0637 | {'f1': 0.8099378881987577} | {'accuracy': 0.7066155321188878} |
0.0346 | 591.0 | 39597 | 2.6572 | {'f1': 0.7979861548143485} | {'accuracy': 0.6922339405560882} |
0.0346 | 592.0 | 39664 | 2.6002 | {'f1': 0.8128872366790583} | {'accuracy': 0.710450623202301} |
0.0346 | 593.0 | 39731 | 2.4840 | {'f1': 0.798464491362764} | {'accuracy': 0.697986577181208} |
0.0346 | 594.0 | 39798 | 2.3541 | {'f1': 0.7810266406757634} | {'accuracy': 0.6768935762224353} |
0.0346 | 595.0 | 39865 | 2.4791 | {'f1': 0.7984790874524715} | {'accuracy': 0.6951102588686481} |
0.0346 | 596.0 | 39932 | 2.5061 | {'f1': 0.8115055079559363} | {'accuracy': 0.7046979865771812} |
0.0346 | 597.0 | 39999 | 2.2753 | {'f1': 0.8094660194174759} | {'accuracy': 0.6989453499520614} |
0.0301 | 598.0 | 40066 | 2.3966 | {'f1': 0.8163265306122448} | {'accuracy': 0.7066155321188878} |
0.0301 | 599.0 | 40133 | 2.4493 | {'f1': 0.8221436984687868} | {'accuracy': 0.710450623202301} |
0.0301 | 600.0 | 40200 | 2.5670 | {'f1': 0.8007566204287516} | {'accuracy': 0.6970278044103547} |
0.0301 | 601.0 | 40267 | 2.0944 | {'f1': 0.8043202033036849} | {'accuracy': 0.7046979865771812} |
0.0301 | 602.0 | 40334 | 1.9693 | {'f1': 0.806471686372122} | {'accuracy': 0.7018216682646213} |
0.0301 | 603.0 | 40401 | 2.2490 | {'f1': 0.8053265694356374} | {'accuracy': 0.7056567593480345} |
0.0301 | 604.0 | 40468 | 2.2227 | {'f1': 0.7898832684824902} | {'accuracy': 0.6893576222435283} |
0.0499 | 605.0 | 40535 | 2.4054 | {'f1': 0.781925343811395} | {'accuracy': 0.6807286673058485} |
0.0499 | 606.0 | 40602 | 2.5979 | {'f1': 0.7943805874840357} | {'accuracy': 0.6912751677852349} |
0.0499 | 607.0 | 40669 | 2.0921 | {'f1': 0.8034398034398035} | {'accuracy': 0.6931927133269415} |
0.0499 | 608.0 | 40736 | 2.4372 | {'f1': 0.8037267080745342} | {'accuracy': 0.6970278044103547} |
0.0499 | 609.0 | 40803 | 2.3465 | {'f1': 0.8128140703517588} | {'accuracy': 0.7142857142857143} |
0.0499 | 610.0 | 40870 | 2.4975 | {'f1': 0.8191489361702128} | {'accuracy': 0.7066155321188878} |
0.0499 | 611.0 | 40937 | 2.5924 | {'f1': 0.8051948051948051} | {'accuracy': 0.697986577181208} |
0.0471 | 612.0 | 41004 | 2.2394 | {'f1': 0.8112058465286237} | {'accuracy': 0.7027804410354745} |
0.0471 | 613.0 | 41071 | 2.0492 | {'f1': 0.810610734114744} | {'accuracy': 0.7056567593480345} |
0.0471 | 614.0 | 41138 | 1.5876 | {'f1': 0.8012698412698412} | {'accuracy': 0.6999041227229147} |
0.0471 | 615.0 | 41205 | 2.2801 | {'f1': 0.8012578616352202} | {'accuracy': 0.6970278044103547} |
0.0471 | 616.0 | 41272 | 2.3718 | {'f1': 0.7917472598323662} | {'accuracy': 0.6903163950143816} |
0.0471 | 617.0 | 41339 | 2.3341 | {'f1': 0.8154034229828852} | {'accuracy': 0.710450623202301} |
0.0471 | 618.0 | 41406 | 2.0647 | {'f1': 0.7958387516254877} | {'accuracy': 0.6989453499520614} |
0.0471 | 619.0 | 41473 | 2.1027 | {'f1': 0.8060836501901142} | {'accuracy': 0.7066155321188878} |
0.0476 | 620.0 | 41540 | 2.2300 | {'f1': 0.8094351334574797} | {'accuracy': 0.7056567593480345} |
0.0476 | 621.0 | 41607 | 2.4566 | {'f1': 0.8132678132678133} | {'accuracy': 0.7085330776605945} |
0.0476 | 622.0 | 41674 | 2.1890 | {'f1': 0.8108776266996292} | {'accuracy': 0.7066155321188878} |
0.0476 | 623.0 | 41741 | 2.5345 | {'f1': 0.8} | {'accuracy': 0.6999041227229147} |
0.0476 | 624.0 | 41808 | 2.4468 | {'f1': 0.8138957816377171} | {'accuracy': 0.7123681687440077} |
0.0476 | 625.0 | 41875 | 2.5332 | {'f1': 0.8136419001218027} | {'accuracy': 0.7066155321188878} |
0.0476 | 626.0 | 41942 | 2.3169 | {'f1': 0.8035375868603918} | {'accuracy': 0.7018216682646213} |
0.0374 | 627.0 | 42009 | 2.7118 | {'f1': 0.8141702921068986} | {'accuracy': 0.713326941514861} |
0.0374 | 628.0 | 42076 | 3.0217 | {'f1': 0.8164014687882496} | {'accuracy': 0.7123681687440077} |
0.0374 | 629.0 | 42143 | 2.6981 | {'f1': 0.8043202033036849} | {'accuracy': 0.7046979865771812} |
0.0374 | 630.0 | 42210 | 2.9600 | {'f1': 0.813810110974106} | {'accuracy': 0.710450623202301} |
0.0374 | 631.0 | 42277 | 1.9972 | {'f1': 0.8125384142593731} | {'accuracy': 0.7075743048897412} |
0.0374 | 632.0 | 42344 | 1.9691 | {'f1': 0.803001876172608} | {'accuracy': 0.697986577181208} |
0.0374 | 633.0 | 42411 | 2.1728 | {'f1': 0.7926988265971316} | {'accuracy': 0.6951102588686481} |
0.0374 | 634.0 | 42478 | 2.4838 | {'f1': 0.788409703504043} | {'accuracy': 0.6989453499520614} |
0.0359 | 635.0 | 42545 | 2.4202 | {'f1': 0.8100490196078431} | {'accuracy': 0.7027804410354745} |
0.0359 | 636.0 | 42612 | 2.4062 | {'f1': 0.8010139416983524} | {'accuracy': 0.6989453499520614} |
0.0359 | 637.0 | 42679 | 2.2867 | {'f1': 0.802547770700637} | {'accuracy': 0.7027804410354745} |
0.0359 | 638.0 | 42746 | 2.4433 | {'f1': 0.8100490196078431} | {'accuracy': 0.7027804410354745} |
0.0359 | 639.0 | 42813 | 2.7226 | {'f1': 0.8071472581638941} | {'accuracy': 0.6999041227229147} |
0.0359 | 640.0 | 42880 | 2.3897 | {'f1': 0.8055380742605414} | {'accuracy': 0.7037392138063279} |
0.0359 | 641.0 | 42947 | 2.4064 | {'f1': 0.8037974683544304} | {'accuracy': 0.7027804410354745} |
0.0192 | 642.0 | 43014 | 2.8317 | {'f1': 0.8161057692307692} | {'accuracy': 0.7066155321188878} |
0.0192 | 643.0 | 43081 | 2.4679 | {'f1': 0.810062893081761} | {'accuracy': 0.710450623202301} |
0.0192 | 644.0 | 43148 | 2.5643 | {'f1': 0.8125} | {'accuracy': 0.7123681687440077} |
0.0192 | 645.0 | 43215 | 2.4763 | {'f1': 0.8150431565967942} | {'accuracy': 0.7123681687440077} |
0.0192 | 646.0 | 43282 | 2.6369 | {'f1': 0.8170515097690941} | {'accuracy': 0.7037392138063279} |
0.0192 | 647.0 | 43349 | 2.0630 | {'f1': 0.7974603174603174} | {'accuracy': 0.6941514860977949} |
0.0192 | 648.0 | 43416 | 2.4388 | {'f1': 0.8125000000000001} | {'accuracy': 0.7066155321188878} |
0.0192 | 649.0 | 43483 | 2.4868 | {'f1': 0.8124223602484472} | {'accuracy': 0.710450623202301} |
0.0305 | 650.0 | 43550 | 2.2993 | {'f1': 0.8080931943592886} | {'accuracy': 0.6999041227229147} |
0.0305 | 651.0 | 43617 | 2.0874 | {'f1': 0.8027465667915106} | {'accuracy': 0.6970278044103547} |
0.0305 | 652.0 | 43684 | 2.2371 | {'f1': 0.8022886204704387} | {'accuracy': 0.7018216682646213} |
0.0305 | 653.0 | 43751 | 2.5658 | {'f1': 0.8124632569077014} | {'accuracy': 0.6941514860977949} |
0.0305 | 654.0 | 43818 | 2.7170 | {'f1': 0.8150807899461401} | {'accuracy': 0.7037392138063279} |
0.0305 | 655.0 | 43885 | 2.3604 | {'f1': 0.7970018738288569} | {'accuracy': 0.6883988494726749} |
0.0305 | 656.0 | 43952 | 2.4308 | {'f1': 0.8037735849056603} | {'accuracy': 0.700862895493768} |
0.0386 | 657.0 | 44019 | 2.6878 | {'f1': 0.7896774193548386} | {'accuracy': 0.6874400767018217} |
0.0386 | 658.0 | 44086 | 2.2253 | {'f1': 0.8052930056710776} | {'accuracy': 0.7037392138063279} |
0.0386 | 659.0 | 44153 | 2.3105 | {'f1': 0.7951959544879897} | {'accuracy': 0.6893576222435283} |
0.0386 | 660.0 | 44220 | 2.6267 | {'f1': 0.8056580565805658} | {'accuracy': 0.6970278044103547} |
0.0386 | 661.0 | 44287 | 2.7093 | {'f1': 0.7882736156351792} | {'accuracy': 0.6883988494726749} |
0.0386 | 662.0 | 44354 | 2.2298 | {'f1': 0.8007590132827325} | {'accuracy': 0.697986577181208} |
0.0386 | 663.0 | 44421 | 2.7471 | {'f1': 0.8037267080745342} | {'accuracy': 0.6970278044103547} |
0.0386 | 664.0 | 44488 | 2.5590 | {'f1': 0.8037151702786378} | {'accuracy': 0.6960690316395014} |
0.0325 | 665.0 | 44555 | 1.9864 | {'f1': 0.7971938775510203} | {'accuracy': 0.6951102588686481} |
0.0325 | 666.0 | 44622 | 2.2498 | {'f1': 0.8097560975609757} | {'accuracy': 0.700862895493768} |
0.0325 | 667.0 | 44689 | 2.4292 | {'f1': 0.809667673716012} | {'accuracy': 0.697986577181208} |
0.0325 | 668.0 | 44756 | 2.3081 | {'f1': 0.7995049504950494} | {'accuracy': 0.6893576222435283} |
0.0325 | 669.0 | 44823 | 2.5704 | {'f1': 0.7860374919198448} | {'accuracy': 0.6826462128475551} |
0.0325 | 670.0 | 44890 | 2.0630 | {'f1': 0.779324055666004} | {'accuracy': 0.6807286673058485} |
0.0325 | 671.0 | 44957 | 2.6712 | {'f1': 0.8024691358024691} | {'accuracy': 0.6931927133269415} |
0.0314 | 672.0 | 45024 | 2.6011 | {'f1': 0.7780784844384304} | {'accuracy': 0.6855225311601151} |
0.0314 | 673.0 | 45091 | 2.7033 | {'f1': 0.7877966101694915} | {'accuracy': 0.6999041227229147} |
0.0314 | 674.0 | 45158 | 2.8228 | {'f1': 0.7992376111817027} | {'accuracy': 0.6970278044103547} |
0.0314 | 675.0 | 45225 | 2.9198 | {'f1': 0.809464508094645} | {'accuracy': 0.7066155321188878} |
0.0314 | 676.0 | 45292 | 2.9716 | {'f1': 0.7916666666666667} | {'accuracy': 0.6931927133269415} |
0.0314 | 677.0 | 45359 | 2.5246 | {'f1': 0.8074385122975405} | {'accuracy': 0.6922339405560882} |
0.0314 | 678.0 | 45426 | 2.4123 | {'f1': 0.807906114885732} | {'accuracy': 0.7018216682646213} |
0.0314 | 679.0 | 45493 | 2.4165 | {'f1': 0.8075235109717868} | {'accuracy': 0.7056567593480345} |
0.0254 | 680.0 | 45560 | 2.2870 | {'f1': 0.8234597156398105} | {'accuracy': 0.7142857142857143} |
0.0254 | 681.0 | 45627 | 2.3270 | {'f1': 0.8097793679189027} | {'accuracy': 0.6941514860977949} |
0.0254 | 682.0 | 45694 | 2.3238 | {'f1': 0.7957259585166563} | {'accuracy': 0.6883988494726749} |
0.0254 | 683.0 | 45761 | 2.4876 | {'f1': 0.8056755089450957} | {'accuracy': 0.697986577181208} |
0.0254 | 684.0 | 45828 | 2.8173 | {'f1': 0.7966645285439383} | {'accuracy': 0.6960690316395014} |
0.0254 | 685.0 | 45895 | 1.9763 | {'f1': 0.8079800498753117} | {'accuracy': 0.7046979865771812} |
0.0254 | 686.0 | 45962 | 2.5405 | {'f1': 0.7926749509483322} | {'accuracy': 0.6960690316395014} |
0.0358 | 687.0 | 46029 | 1.8050 | {'f1': 0.7804551539491298} | {'accuracy': 0.6855225311601151} |
0.0358 | 688.0 | 46096 | 1.7838 | {'f1': 0.8044417026526834} | {'accuracy': 0.6960690316395014} |
0.0358 | 689.0 | 46163 | 1.9279 | {'f1': 0.7954401519949335} | {'accuracy': 0.6903163950143816} |
0.0358 | 690.0 | 46230 | 2.2518 | {'f1': 0.8070175438596492} | {'accuracy': 0.7046979865771812} |
0.0358 | 691.0 | 46297 | 2.4148 | {'f1': 0.7906976744186047} | {'accuracy': 0.697986577181208} |
0.0358 | 692.0 | 46364 | 2.4084 | {'f1': 0.7948387096774193} | {'accuracy': 0.6951102588686481} |
0.0358 | 693.0 | 46431 | 2.4390 | {'f1': 0.7997481108312343} | {'accuracy': 0.6951102588686481} |
0.0358 | 694.0 | 46498 | 2.5726 | {'f1': 0.8100183262064753} | {'accuracy': 0.7018216682646213} |
0.0255 | 695.0 | 46565 | 2.2043 | {'f1': 0.8097622027534418} | {'accuracy': 0.7085330776605945} |
0.0255 | 696.0 | 46632 | 2.4890 | {'f1': 0.8125000000000001} | {'accuracy': 0.7066155321188878} |
0.0255 | 697.0 | 46699 | 2.5582 | {'f1': 0.7989821882951653} | {'accuracy': 0.6970278044103547} |
0.0255 | 698.0 | 46766 | 2.6065 | {'f1': 0.7977315689981097} | {'accuracy': 0.6922339405560882} |
0.0255 | 699.0 | 46833 | 2.8964 | {'f1': 0.817857142857143} | {'accuracy': 0.7066155321188878} |
0.0255 | 700.0 | 46900 | 2.6920 | {'f1': 0.7906066536203523} | {'accuracy': 0.6922339405560882} |
0.0255 | 701.0 | 46967 | 2.6233 | {'f1': 0.8162762022194822} | {'accuracy': 0.7142857142857143} |
0.0287 | 702.0 | 47034 | 2.4204 | {'f1': 0.7958789439793946} | {'accuracy': 0.6960690316395014} |
0.0287 | 703.0 | 47101 | 2.5576 | {'f1': 0.806471686372122} | {'accuracy': 0.7018216682646213} |
0.0287 | 704.0 | 47168 | 2.7032 | {'f1': 0.7905759162303664} | {'accuracy': 0.6931927133269415} |
0.0287 | 705.0 | 47235 | 2.4733 | {'f1': 0.8056234718826406} | {'accuracy': 0.6951102588686481} |
0.0287 | 706.0 | 47302 | 2.3244 | {'f1': 0.8029832193909261} | {'accuracy': 0.6960690316395014} |
0.0287 | 707.0 | 47369 | 2.7921 | {'f1': 0.8017902813299232} | {'accuracy': 0.7027804410354745} |
0.0287 | 708.0 | 47436 | 2.2663 | {'f1': 0.8017456359102245} | {'accuracy': 0.6951102588686481} |
0.0288 | 709.0 | 47503 | 2.0167 | {'f1': 0.8132678132678133} | {'accuracy': 0.7085330776605945} |
0.0288 | 710.0 | 47570 | 2.6573 | {'f1': 0.7940606843124596} | {'accuracy': 0.6941514860977949} |
0.0288 | 711.0 | 47637 | 2.9652 | {'f1': 0.7554309740714786} | {'accuracy': 0.6653883029721956} |
0.0288 | 712.0 | 47704 | 2.8463 | {'f1': 0.7939508506616256} | {'accuracy': 0.6864813039309684} |
0.0288 | 713.0 | 47771 | 2.4259 | {'f1': 0.7916666666666666} | {'accuracy': 0.6836049856184084} |
0.0288 | 714.0 | 47838 | 2.5357 | {'f1': 0.807716241443684} | {'accuracy': 0.7037392138063279} |
0.0288 | 715.0 | 47905 | 2.7091 | {'f1': 0.8059149722735675} | {'accuracy': 0.697986577181208} |
0.0288 | 716.0 | 47972 | 1.9341 | {'f1': 0.7498257839721254} | {'accuracy': 0.6558005752636625} |
0.045 | 717.0 | 48039 | 2.4567 | {'f1': 0.7990043559427504} | {'accuracy': 0.6903163950143816} |
0.045 | 718.0 | 48106 | 2.3969 | {'f1': 0.796116504854369} | {'accuracy': 0.697986577181208} |
0.045 | 719.0 | 48173 | 2.4523 | {'f1': 0.7801324503311259} | {'accuracy': 0.6816874400767018} |
0.045 | 720.0 | 48240 | 2.7482 | {'f1': 0.7823800131492439} | {'accuracy': 0.6826462128475551} |
0.045 | 721.0 | 48307 | 2.3304 | {'f1': 0.7850225952227243} | {'accuracy': 0.6807286673058485} |
0.045 | 722.0 | 48374 | 3.0472 | {'f1': 0.8074385122975405} | {'accuracy': 0.6922339405560882} |
0.045 | 723.0 | 48441 | 2.7800 | {'f1': 0.7922403003754693} | {'accuracy': 0.6816874400767018} |
0.0356 | 724.0 | 48508 | 2.6058 | {'f1': 0.7930174563591023} | {'accuracy': 0.6816874400767018} |
0.0356 | 725.0 | 48575 | 2.5263 | {'f1': 0.8047411104179663} | {'accuracy': 0.6999041227229147} |
0.0356 | 726.0 | 48642 | 2.7661 | {'f1': 0.7964376590330787} | {'accuracy': 0.6931927133269415} |
0.0356 | 727.0 | 48709 | 2.6080 | {'f1': 0.7963076923076924} | {'accuracy': 0.6826462128475551} |
0.0356 | 728.0 | 48776 | 2.6368 | {'f1': 0.7740641711229945} | {'accuracy': 0.675934803451582} |
0.0356 | 729.0 | 48843 | 2.9922 | {'f1': 0.7955528103767758} | {'accuracy': 0.6826462128475551} |
0.0356 | 730.0 | 48910 | 3.0665 | {'f1': 0.7828348504551365} | {'accuracy': 0.6797698945349953} |
0.0356 | 731.0 | 48977 | 3.0926 | {'f1': 0.7995079950799507} | {'accuracy': 0.6874400767018217} |
0.0291 | 732.0 | 49044 | 2.9926 | {'f1': 0.7936102236421724} | {'accuracy': 0.6903163950143816} |
0.0291 | 733.0 | 49111 | 2.4811 | {'f1': 0.7784511784511784} | {'accuracy': 0.6845637583892618} |
0.0291 | 734.0 | 49178 | 2.8004 | {'f1': 0.8066914498141262} | {'accuracy': 0.700862895493768} |
0.0291 | 735.0 | 49245 | 3.0368 | {'f1': 0.7967275015733165} | {'accuracy': 0.6903163950143816} |
0.0291 | 736.0 | 49312 | 1.9854 | {'f1': 0.8034398034398035} | {'accuracy': 0.6931927133269415} |
0.0291 | 737.0 | 49379 | 2.6648 | {'f1': 0.8032786885245902} | {'accuracy': 0.700862895493768} |
0.0291 | 738.0 | 49446 | 2.7329 | {'f1': 0.7999999999999998} | {'accuracy': 0.7027804410354745} |
0.0196 | 739.0 | 49513 | 3.0289 | {'f1': 0.8029832193909261} | {'accuracy': 0.6960690316395014} |
0.0196 | 740.0 | 49580 | 3.1310 | {'f1': 0.8074074074074074} | {'accuracy': 0.700862895493768} |
0.0196 | 741.0 | 49647 | 2.1609 | {'f1': 0.8119293974437006} | {'accuracy': 0.7037392138063279} |
0.0196 | 742.0 | 49714 | 2.6867 | {'f1': 0.7961414790996786} | {'accuracy': 0.6960690316395014} |
0.0196 | 743.0 | 49781 | 2.9029 | {'f1': 0.8027725267800883} | {'accuracy': 0.6999041227229147} |
0.0196 | 744.0 | 49848 | 2.7871 | {'f1': 0.7956577266922095} | {'accuracy': 0.6931927133269415} |
0.0196 | 745.0 | 49915 | 2.3519 | {'f1': 0.8} | {'accuracy': 0.6941514860977949} |
0.0196 | 746.0 | 49982 | 2.3877 | {'f1': 0.7865022712524335} | {'accuracy': 0.6845637583892618} |
0.0223 | 747.0 | 50049 | 2.6191 | {'f1': 0.807250755287009} | {'accuracy': 0.6941514860977949} |
0.0223 | 748.0 | 50116 | 2.5804 | {'f1': 0.7943625880845611} | {'accuracy': 0.6922339405560882} |
0.0223 | 749.0 | 50183 | 2.3629 | {'f1': 0.7795698924731183} | {'accuracy': 0.6855225311601151} |
0.0223 | 750.0 | 50250 | 2.6731 | {'f1': 0.8061919504643963} | {'accuracy': 0.6999041227229147} |
0.0223 | 751.0 | 50317 | 2.7994 | {'f1': 0.8037037037037037} | {'accuracy': 0.6951102588686481} |
0.0223 | 752.0 | 50384 | 2.7621 | {'f1': 0.8049230769230769} | {'accuracy': 0.6960690316395014} |
0.0223 | 753.0 | 50451 | 2.8079 | {'f1': 0.803001876172608} | {'accuracy': 0.697986577181208} |
0.0284 | 754.0 | 50518 | 2.7339 | {'f1': 0.8027295285359802} | {'accuracy': 0.6951102588686481} |
0.0284 | 755.0 | 50585 | 2.3571 | {'f1': 0.794451450189155} | {'accuracy': 0.6874400767018217} |
0.0284 | 756.0 | 50652 | 2.9821 | {'f1': 0.7955936352509181} | {'accuracy': 0.6797698945349953} |
0.0284 | 757.0 | 50719 | 2.8026 | {'f1': 0.7713903743315508} | {'accuracy': 0.6720997123681688} |
0.0284 | 758.0 | 50786 | 3.1596 | {'f1': 0.8016979987871438} | {'accuracy': 0.6864813039309684} |
0.0284 | 759.0 | 50853 | 3.0899 | {'f1': 0.7764550264550265} | {'accuracy': 0.675934803451582} |
0.0284 | 760.0 | 50920 | 3.2063 | {'f1': 0.7912652536929994} | {'accuracy': 0.6883988494726749} |
0.0284 | 761.0 | 50987 | 3.3018 | {'f1': 0.7959442332065907} | {'accuracy': 0.6912751677852349} |
0.0186 | 762.0 | 51054 | 3.2583 | {'f1': 0.8049079754601228} | {'accuracy': 0.6951102588686481} |
0.0186 | 763.0 | 51121 | 2.4554 | {'f1': 0.8051157125456762} | {'accuracy': 0.6931927133269415} |
0.0186 | 764.0 | 51188 | 2.5469 | {'f1': 0.8046971569839309} | {'accuracy': 0.6970278044103547} |
0.0186 | 765.0 | 51255 | 2.6618 | {'f1': 0.7841634738186462} | {'accuracy': 0.675934803451582} |
0.0186 | 766.0 | 51322 | 2.8066 | {'f1': 0.7879948914431673} | {'accuracy': 0.6816874400767018} |
0.0186 | 767.0 | 51389 | 2.9399 | {'f1': 0.8097560975609757} | {'accuracy': 0.700862895493768} |
0.0186 | 768.0 | 51456 | 2.9587 | {'f1': 0.8076685219542364} | {'accuracy': 0.7018216682646213} |
0.0212 | 769.0 | 51523 | 3.0687 | {'f1': 0.8037037037037037} | {'accuracy': 0.6951102588686481} |
0.0212 | 770.0 | 51590 | 3.1965 | {'f1': 0.8102501525320317} | {'accuracy': 0.7018216682646213} |
0.0212 | 771.0 | 51657 | 3.1875 | {'f1': 0.811332127787824} | {'accuracy': 0.6999041227229147} |
0.0212 | 772.0 | 51724 | 2.4162 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
0.0212 | 773.0 | 51791 | 2.0861 | {'f1': 0.7639542703429724} | {'accuracy': 0.663470757430489} |
0.0212 | 774.0 | 51858 | 2.8202 | {'f1': 0.8024615384615384} | {'accuracy': 0.6922339405560882} |
0.0212 | 775.0 | 51925 | 2.7271 | {'f1': 0.7717462393721386} | {'accuracy': 0.6653883029721956} |
0.0212 | 776.0 | 51992 | 2.9384 | {'f1': 0.8} | {'accuracy': 0.6903163950143816} |
0.0215 | 777.0 | 52059 | 3.1019 | {'f1': 0.7914303717706365} | {'accuracy': 0.6826462128475551} |
0.0215 | 778.0 | 52126 | 2.0745 | {'f1': 0.8026960784313726} | {'accuracy': 0.6912751677852349} |
0.0215 | 779.0 | 52193 | 2.9262 | {'f1': 0.7987538940809968} | {'accuracy': 0.6903163950143816} |
0.0215 | 780.0 | 52260 | 3.0274 | {'f1': 0.7817589576547231} | {'accuracy': 0.6788111217641419} |
0.0215 | 781.0 | 52327 | 2.6004 | {'f1': 0.7793427230046948} | {'accuracy': 0.6845637583892618} |
0.0215 | 782.0 | 52394 | 2.8576 | {'f1': 0.8064316635745208} | {'accuracy': 0.6999041227229147} |
0.0215 | 783.0 | 52461 | 2.6895 | {'f1': 0.8186157517899763} | {'accuracy': 0.7085330776605945} |
0.0296 | 784.0 | 52528 | 2.7667 | {'f1': 0.7974921630094044} | {'accuracy': 0.6903163950143816} |
0.0296 | 785.0 | 52595 | 2.2497 | {'f1': 0.801246105919003} | {'accuracy': 0.6941514860977949} |
0.0296 | 786.0 | 52662 | 2.7913 | {'f1': 0.7935064935064934} | {'accuracy': 0.6951102588686481} |
0.0296 | 787.0 | 52729 | 3.0921 | {'f1': 0.7987460815047022} | {'accuracy': 0.6922339405560882} |
0.0296 | 788.0 | 52796 | 2.5899 | {'f1': 0.8088506453595575} | {'accuracy': 0.7018216682646213} |
0.0296 | 789.0 | 52863 | 3.0144 | {'f1': 0.7790311877903119} | {'accuracy': 0.6807286673058485} |
0.0296 | 790.0 | 52930 | 3.0538 | {'f1': 0.7768924302788843} | {'accuracy': 0.6778523489932886} |
0.0296 | 791.0 | 52997 | 3.2500 | {'f1': 0.7863577863577864} | {'accuracy': 0.6816874400767018} |
0.0227 | 792.0 | 53064 | 3.3701 | {'f1': 0.7841866493843164} | {'accuracy': 0.6807286673058485} |
0.0227 | 793.0 | 53131 | 3.1662 | {'f1': 0.7822105951602353} | {'accuracy': 0.6807286673058485} |
0.0227 | 794.0 | 53198 | 2.5949 | {'f1': 0.7849740932642487} | {'accuracy': 0.6816874400767018} |
0.0227 | 795.0 | 53265 | 2.1076 | {'f1': 0.7985120892746435} | {'accuracy': 0.6883988494726749} |
0.0227 | 796.0 | 53332 | 2.9437 | {'f1': 0.8007471980074721} | {'accuracy': 0.6931927133269415} |
0.0227 | 797.0 | 53399 | 2.8963 | {'f1': 0.8034934497816594} | {'accuracy': 0.697986577181208} |
0.0227 | 798.0 | 53466 | 2.5000 | {'f1': 0.7972116603295311} | {'accuracy': 0.6931927133269415} |
0.0202 | 799.0 | 53533 | 3.1138 | {'f1': 0.790757381258023} | {'accuracy': 0.6874400767018217} |
0.0202 | 800.0 | 53600 | 2.7586 | {'f1': 0.8136419001218027} | {'accuracy': 0.7066155321188878} |
0.0202 | 801.0 | 53667 | 2.6061 | {'f1': 0.8007736943907157} | {'accuracy': 0.7037392138063279} |
0.0202 | 802.0 | 53734 | 2.9945 | {'f1': 0.812577065351418} | {'accuracy': 0.7085330776605945} |
0.0202 | 803.0 | 53801 | 3.1440 | {'f1': 0.8067122436295835} | {'accuracy': 0.7018216682646213} |
0.0202 | 804.0 | 53868 | 3.1134 | {'f1': 0.776376907763769} | {'accuracy': 0.6768935762224353} |
0.0202 | 805.0 | 53935 | 2.3582 | {'f1': 0.8138528138528138} | {'accuracy': 0.7114093959731543} |
0.0173 | 806.0 | 54002 | 2.5501 | {'f1': 0.8031189083820662} | {'accuracy': 0.7094918504314478} |
0.0173 | 807.0 | 54069 | 2.8213 | {'f1': 0.7974025974025973} | {'accuracy': 0.700862895493768} |
0.0173 | 808.0 | 54136 | 3.0748 | {'f1': 0.8068614993646761} | {'accuracy': 0.7085330776605945} |
0.0173 | 809.0 | 54203 | 3.2095 | {'f1': 0.7966857871255576} | {'accuracy': 0.6941514860977949} |
0.0173 | 810.0 | 54270 | 3.0719 | {'f1': 0.8100183262064753} | {'accuracy': 0.7018216682646213} |
0.0173 | 811.0 | 54337 | 2.9067 | {'f1': 0.8062893081761007} | {'accuracy': 0.7046979865771812} |
0.0173 | 812.0 | 54404 | 2.3977 | {'f1': 0.7872340425531915} | {'accuracy': 0.6931927133269415} |
0.0173 | 813.0 | 54471 | 2.4714 | {'f1': 0.8045540796963947} | {'accuracy': 0.7037392138063279} |
0.0192 | 814.0 | 54538 | 2.9034 | {'f1': 0.8077645585472761} | {'accuracy': 0.7056567593480345} |
0.0192 | 815.0 | 54605 | 2.9557 | {'f1': 0.7888239116309291} | {'accuracy': 0.6883988494726749} |
0.0192 | 816.0 | 54672 | 2.8904 | {'f1': 0.7881087919038583} | {'accuracy': 0.6788111217641419} |
0.0192 | 817.0 | 54739 | 3.1986 | {'f1': 0.7813108371187542} | {'accuracy': 0.6768935762224353} |
0.0192 | 818.0 | 54806 | 3.0324 | {'f1': 0.796044499381953} | {'accuracy': 0.6836049856184084} |
0.0192 | 819.0 | 54873 | 2.4756 | {'f1': 0.7817460317460316} | {'accuracy': 0.6836049856184084} |
0.0192 | 820.0 | 54940 | 2.9751 | {'f1': 0.786179921773142} | {'accuracy': 0.6855225311601151} |
0.0202 | 821.0 | 55007 | 2.8320 | {'f1': 0.8107121119902617} | {'accuracy': 0.7018216682646213} |
0.0202 | 822.0 | 55074 | 3.0572 | {'f1': 0.7999999999999999} | {'accuracy': 0.6922339405560882} |
0.0202 | 823.0 | 55141 | 2.7252 | {'f1': 0.7822634017207147} | {'accuracy': 0.6845637583892618} |
0.0202 | 824.0 | 55208 | 2.6225 | {'f1': 0.801718845917741} | {'accuracy': 0.6903163950143816} |
0.0202 | 825.0 | 55275 | 2.8190 | {'f1': 0.7736842105263156} | {'accuracy': 0.6701821668264621} |
0.0202 | 826.0 | 55342 | 3.0765 | {'f1': 0.8002512562814069} | {'accuracy': 0.6951102588686481} |
0.0202 | 827.0 | 55409 | 2.9914 | {'f1': 0.8076923076923077} | {'accuracy': 0.7027804410354745} |
0.0202 | 828.0 | 55476 | 2.8897 | {'f1': 0.8127294981640146} | {'accuracy': 0.7066155321188878} |
0.0209 | 829.0 | 55543 | 2.7297 | {'f1': 0.8053097345132745} | {'accuracy': 0.7046979865771812} |
0.0209 | 830.0 | 55610 | 2.8030 | {'f1': 0.8068251066422912} | {'accuracy': 0.6960690316395014} |
0.0209 | 831.0 | 55677 | 2.6626 | {'f1': 0.7949367088607595} | {'accuracy': 0.6893576222435283} |
0.0209 | 832.0 | 55744 | 3.0832 | {'f1': 0.7971298108284409} | {'accuracy': 0.7018216682646213} |
0.0209 | 833.0 | 55811 | 2.0708 | {'f1': 0.8045112781954888} | {'accuracy': 0.700862895493768} |
0.0209 | 834.0 | 55878 | 2.2189 | {'f1': 0.8030398986700443} | {'accuracy': 0.7018216682646213} |
0.0209 | 835.0 | 55945 | 2.9918 | {'f1': 0.7979669631512071} | {'accuracy': 0.6951102588686481} |
0.0269 | 836.0 | 56012 | 2.2085 | {'f1': 0.7953816549069915} | {'accuracy': 0.6941514860977949} |
0.0269 | 837.0 | 56079 | 3.1818 | {'f1': 0.7605042016806722} | {'accuracy': 0.6720997123681688} |
0.0269 | 838.0 | 56146 | 2.5932 | {'f1': 0.8094660194174759} | {'accuracy': 0.6989453499520614} |
0.0269 | 839.0 | 56213 | 2.3886 | {'f1': 0.8081779915814792} | {'accuracy': 0.6941514860977949} |
0.0269 | 840.0 | 56280 | 2.6619 | {'f1': 0.7971758664955071} | {'accuracy': 0.6970278044103547} |
0.0269 | 841.0 | 56347 | 2.7758 | {'f1': 0.8057825267127593} | {'accuracy': 0.7037392138063279} |
0.0269 | 842.0 | 56414 | 2.9375 | {'f1': 0.7964376590330787} | {'accuracy': 0.6931927133269415} |
0.0269 | 843.0 | 56481 | 2.3430 | {'f1': 0.7942894224529526} | {'accuracy': 0.6960690316395014} |
0.0238 | 844.0 | 56548 | 2.6018 | {'f1': 0.8113663845223701} | {'accuracy': 0.700862895493768} |
0.0238 | 845.0 | 56615 | 2.6207 | {'f1': 0.8007448789571694} | {'accuracy': 0.6922339405560882} |
0.0238 | 846.0 | 56682 | 2.7643 | {'f1': 0.7992565055762082} | {'accuracy': 0.6893576222435283} |
0.0238 | 847.0 | 56749 | 2.2330 | {'f1': 0.8064316635745208} | {'accuracy': 0.6999041227229147} |
0.0238 | 848.0 | 56816 | 2.4701 | {'f1': 0.8129584352078238} | {'accuracy': 0.7066155321188878} |
0.0238 | 849.0 | 56883 | 2.4459 | {'f1': 0.809437386569873} | {'accuracy': 0.697986577181208} |
0.0238 | 850.0 | 56950 | 2.5943 | {'f1': 0.803680981595092} | {'accuracy': 0.6931927133269415} |
0.0154 | 851.0 | 57017 | 2.6762 | {'f1': 0.8020369191597707} | {'accuracy': 0.7018216682646213} |
0.0154 | 852.0 | 57084 | 2.9193 | {'f1': 0.800252844500632} | {'accuracy': 0.6970278044103547} |
0.0154 | 853.0 | 57151 | 2.8979 | {'f1': 0.807551766138855} | {'accuracy': 0.6970278044103547} |
0.0154 | 854.0 | 57218 | 2.6192 | {'f1': 0.8004987531172071} | {'accuracy': 0.6931927133269415} |
0.0154 | 855.0 | 57285 | 2.7391 | {'f1': 0.7964148527528808} | {'accuracy': 0.6951102588686481} |
0.0154 | 856.0 | 57352 | 2.4971 | {'f1': 0.7997473152242578} | {'accuracy': 0.6960690316395014} |
0.0154 | 857.0 | 57419 | 2.5369 | {'f1': 0.8187838651414812} | {'accuracy': 0.7114093959731543} |
0.0154 | 858.0 | 57486 | 2.6048 | {'f1': 0.8059149722735675} | {'accuracy': 0.697986577181208} |
0.0179 | 859.0 | 57553 | 2.6904 | {'f1': 0.8092909535452323} | {'accuracy': 0.700862895493768} |
0.0179 | 860.0 | 57620 | 2.7572 | {'f1': 0.7976952624839948} | {'accuracy': 0.6970278044103547} |
0.0179 | 861.0 | 57687 | 2.5739 | {'f1': 0.7775551102204408} | {'accuracy': 0.6807286673058485} |
0.0179 | 862.0 | 57754 | 2.1508 | {'f1': 0.7994875080076873} | {'accuracy': 0.6999041227229147} |
0.0179 | 863.0 | 57821 | 2.6138 | {'f1': 0.7943805874840357} | {'accuracy': 0.6912751677852349} |
0.0179 | 864.0 | 57888 | 2.8381 | {'f1': 0.8038858530661809} | {'accuracy': 0.6903163950143816} |
0.0179 | 865.0 | 57955 | 2.5914 | {'f1': 0.7994891443167303} | {'accuracy': 0.6989453499520614} |
0.022 | 866.0 | 58022 | 2.6404 | {'f1': 0.8027989821882952} | {'accuracy': 0.7027804410354745} |
0.022 | 867.0 | 58089 | 2.7753 | {'f1': 0.7937106918238993} | {'accuracy': 0.6855225311601151} |
0.022 | 868.0 | 58156 | 2.5355 | {'f1': 0.8049844236760124} | {'accuracy': 0.6999041227229147} |
0.022 | 869.0 | 58223 | 2.3303 | {'f1': 0.8067122436295835} | {'accuracy': 0.7018216682646213} |
0.022 | 870.0 | 58290 | 2.7866 | {'f1': 0.8049079754601228} | {'accuracy': 0.6951102588686481} |
0.022 | 871.0 | 58357 | 2.9416 | {'f1': 0.8034398034398035} | {'accuracy': 0.6931927133269415} |
0.022 | 872.0 | 58424 | 2.9540 | {'f1': 0.8005003126954346} | {'accuracy': 0.6941514860977949} |
0.022 | 873.0 | 58491 | 3.1983 | {'f1': 0.8111718275652702} | {'accuracy': 0.7018216682646213} |
0.0127 | 874.0 | 58558 | 3.1794 | {'f1': 0.7815181518151816} | {'accuracy': 0.6826462128475551} |
0.0127 | 875.0 | 58625 | 3.0788 | {'f1': 0.7959183673469387} | {'accuracy': 0.6931927133269415} |
0.0127 | 876.0 | 58692 | 2.7439 | {'f1': 0.7925257731958762} | {'accuracy': 0.6912751677852349} |
0.0127 | 877.0 | 58759 | 3.1167 | {'f1': 0.8027638190954774} | {'accuracy': 0.6989453499520614} |
0.0127 | 878.0 | 58826 | 3.0847 | {'f1': 0.804279421019509} | {'accuracy': 0.7018216682646213} |
0.0127 | 879.0 | 58893 | 2.6587 | {'f1': 0.8035375868603918} | {'accuracy': 0.7018216682646213} |
0.0127 | 880.0 | 58960 | 2.8949 | {'f1': 0.8034825870646766} | {'accuracy': 0.6970278044103547} |
0.0165 | 881.0 | 59027 | 2.9421 | {'f1': 0.8057107386716326} | {'accuracy': 0.6999041227229147} |
0.0165 | 882.0 | 59094 | 2.9432 | {'f1': 0.8048162230671737} | {'accuracy': 0.7046979865771812} |
0.0165 | 883.0 | 59161 | 3.1203 | {'f1': 0.7895765472312704} | {'accuracy': 0.6903163950143816} |
0.0165 | 884.0 | 59228 | 3.2343 | {'f1': 0.7890724269377383} | {'accuracy': 0.6816874400767018} |
0.0165 | 885.0 | 59295 | 2.7760 | {'f1': 0.7725150100066711} | {'accuracy': 0.673058485139022} |
0.0165 | 886.0 | 59362 | 3.0844 | {'f1': 0.7818659658344285} | {'accuracy': 0.6816874400767018} |
0.0165 | 887.0 | 59429 | 3.1834 | {'f1': 0.7975683890577508} | {'accuracy': 0.6807286673058485} |
0.0165 | 888.0 | 59496 | 2.3314 | {'f1': 0.7969924812030076} | {'accuracy': 0.6893576222435283} |
0.0176 | 889.0 | 59563 | 2.9516 | {'f1': 0.7926208651399491} | {'accuracy': 0.6874400767018217} |
0.0176 | 890.0 | 59630 | 3.0285 | {'f1': 0.8044280442804428} | {'accuracy': 0.6951102588686481} |
0.0176 | 891.0 | 59697 | 3.1338 | {'f1': 0.789776357827476} | {'accuracy': 0.6845637583892618} |
0.0176 | 892.0 | 59764 | 2.5577 | {'f1': 0.7903736542115264} | {'accuracy': 0.6826462128475551} |
0.0176 | 893.0 | 59831 | 2.8251 | {'f1': 0.7569775357385977} | {'accuracy': 0.6577181208053692} |
0.0176 | 894.0 | 59898 | 2.7689 | {'f1': 0.7967377666248431} | {'accuracy': 0.6893576222435283} |
0.0176 | 895.0 | 59965 | 2.9104 | {'f1': 0.8005003126954346} | {'accuracy': 0.6941514860977949} |
0.0138 | 896.0 | 60032 | 2.7865 | {'f1': 0.7892670157068062} | {'accuracy': 0.6912751677852349} |
0.0138 | 897.0 | 60099 | 3.1620 | {'f1': 0.7822045152722443} | {'accuracy': 0.6855225311601151} |
0.0138 | 898.0 | 60166 | 3.0299 | {'f1': 0.7876397107166337} | {'accuracy': 0.6903163950143816} |
0.0138 | 899.0 | 60233 | 3.2338 | {'f1': 0.7912087912087912} | {'accuracy': 0.6903163950143816} |
0.0138 | 900.0 | 60300 | 3.1201 | {'f1': 0.7945911139729556} | {'accuracy': 0.6941514860977949} |
0.0138 | 901.0 | 60367 | 3.1295 | {'f1': 0.7992448080553808} | {'accuracy': 0.6941514860977949} |
0.0138 | 902.0 | 60434 | 2.8802 | {'f1': 0.7969639468690701} | {'accuracy': 0.6922339405560882} |
0.0103 | 903.0 | 60501 | 2.5675 | {'f1': 0.7961904761904762} | {'accuracy': 0.6922339405560882} |
0.0103 | 904.0 | 60568 | 3.1883 | {'f1': 0.7874920229738352} | {'accuracy': 0.6807286673058485} |
0.0103 | 905.0 | 60635 | 3.5637 | {'f1': 0.7955390334572491} | {'accuracy': 0.6836049856184084} |
0.0103 | 906.0 | 60702 | 2.6750 | {'f1': 0.7914032869785084} | {'accuracy': 0.6836049856184084} |
0.0103 | 907.0 | 60769 | 2.9523 | {'f1': 0.8091133004926109} | {'accuracy': 0.7027804410354745} |
0.0103 | 908.0 | 60836 | 3.3888 | {'f1': 0.8041871921182266} | {'accuracy': 0.6951102588686481} |
0.0103 | 909.0 | 60903 | 2.7870 | {'f1': 0.7929736511919698} | {'accuracy': 0.6836049856184084} |
0.0103 | 910.0 | 60970 | 3.1207 | {'f1': 0.804968944099379} | {'accuracy': 0.6989453499520614} |
0.0178 | 911.0 | 61037 | 2.6881 | {'f1': 0.7884984025559105} | {'accuracy': 0.6826462128475551} |
0.0178 | 912.0 | 61104 | 2.7027 | {'f1': 0.7959183673469387} | {'accuracy': 0.6931927133269415} |
0.0178 | 913.0 | 61171 | 2.7214 | {'f1': 0.7526278906797477} | {'accuracy': 0.6615532118887824} |
0.0178 | 914.0 | 61238 | 2.7747 | {'f1': 0.7972027972027972} | {'accuracy': 0.6941514860977949} |
0.0178 | 915.0 | 61305 | 2.7148 | {'f1': 0.7994891443167303} | {'accuracy': 0.6989453499520614} |
0.0178 | 916.0 | 61372 | 2.9585 | {'f1': 0.8064316635745208} | {'accuracy': 0.6999041227229147} |
0.0178 | 917.0 | 61439 | 3.2040 | {'f1': 0.7972292191435768} | {'accuracy': 0.6912751677852349} |
0.0142 | 918.0 | 61506 | 3.3723 | {'f1': 0.8086153846153846} | {'accuracy': 0.7018216682646213} |
0.0142 | 919.0 | 61573 | 3.3550 | {'f1': 0.7987381703470031} | {'accuracy': 0.6941514860977949} |
0.0142 | 920.0 | 61640 | 2.7480 | {'f1': 0.7818659658344285} | {'accuracy': 0.6816874400767018} |
0.0142 | 921.0 | 61707 | 2.8426 | {'f1': 0.790187217559716} | {'accuracy': 0.6883988494726749} |
0.0142 | 922.0 | 61774 | 3.1097 | {'f1': 0.7901554404145078} | {'accuracy': 0.6893576222435283} |
0.0142 | 923.0 | 61841 | 2.7653 | {'f1': 0.7847446670976082} | {'accuracy': 0.6807286673058485} |
0.0142 | 924.0 | 61908 | 3.2395 | {'f1': 0.7931904161412359} | {'accuracy': 0.6855225311601151} |
0.0142 | 925.0 | 61975 | 3.2458 | {'f1': 0.8053204353083434} | {'accuracy': 0.6912751677852349} |
0.0163 | 926.0 | 62042 | 3.2999 | {'f1': 0.8010107391029692} | {'accuracy': 0.697986577181208} |
0.0163 | 927.0 | 62109 | 3.4960 | {'f1': 0.7848266841072596} | {'accuracy': 0.6845637583892618} |
0.0163 | 928.0 | 62176 | 3.3342 | {'f1': 0.7842622950819672} | {'accuracy': 0.6845637583892618} |
0.0163 | 929.0 | 62243 | 3.4603 | {'f1': 0.805352798053528} | {'accuracy': 0.6931927133269415} |
0.0163 | 930.0 | 62310 | 3.5135 | {'f1': 0.7967275015733165} | {'accuracy': 0.6903163950143816} |
0.0163 | 931.0 | 62377 | 3.4542 | {'f1': 0.7941363926067558} | {'accuracy': 0.6903163950143816} |
0.0163 | 932.0 | 62444 | 3.6155 | {'f1': 0.7899484536082474} | {'accuracy': 0.6874400767018217} |
0.0073 | 933.0 | 62511 | 3.2877 | {'f1': 0.7962264150943396} | {'accuracy': 0.6893576222435283} |
0.0073 | 934.0 | 62578 | 2.9528 | {'f1': 0.8012658227848102} | {'accuracy': 0.6989453499520614} |
0.0073 | 935.0 | 62645 | 2.2620 | {'f1': 0.8083028083028083} | {'accuracy': 0.6989453499520614} |
0.0073 | 936.0 | 62712 | 2.9669 | {'f1': 0.809319435928878} | {'accuracy': 0.7018216682646213} |
0.0073 | 937.0 | 62779 | 2.4109 | {'f1': 0.8054354539839407} | {'accuracy': 0.697986577181208} |
0.0073 | 938.0 | 62846 | 2.4202 | {'f1': 0.7995034140285537} | {'accuracy': 0.6903163950143816} |
0.0073 | 939.0 | 62913 | 2.8792 | {'f1': 0.7841584158415842} | {'accuracy': 0.6864813039309684} |
0.0073 | 940.0 | 62980 | 2.9679 | {'f1': 0.8020050125313284} | {'accuracy': 0.6970278044103547} |
0.0215 | 941.0 | 63047 | 3.0056 | {'f1': 0.8037037037037037} | {'accuracy': 0.6951102588686481} |
0.0215 | 942.0 | 63114 | 2.9210 | {'f1': 0.7974683544303798} | {'accuracy': 0.6931927133269415} |
0.0215 | 943.0 | 63181 | 3.1601 | {'f1': 0.7945026178010471} | {'accuracy': 0.6989453499520614} |
0.0215 | 944.0 | 63248 | 3.1141 | {'f1': 0.7589599437807449} | {'accuracy': 0.6711409395973155} |
0.0215 | 945.0 | 63315 | 2.9032 | {'f1': 0.7923566878980891} | {'accuracy': 0.6874400767018217} |
0.0215 | 946.0 | 63382 | 3.2873 | {'f1': 0.7902010050251256} | {'accuracy': 0.6797698945349953} |
0.0215 | 947.0 | 63449 | 2.9054 | {'f1': 0.7960199004975124} | {'accuracy': 0.6855225311601151} |
0.0189 | 948.0 | 63516 | 2.4805 | {'f1': 0.8142340168878167} | {'accuracy': 0.7046979865771812} |
0.0189 | 949.0 | 63583 | 2.9087 | {'f1': 0.8157575757575758} | {'accuracy': 0.7085330776605945} |
0.0189 | 950.0 | 63650 | 3.1082 | {'f1': 0.7924773022049285} | {'accuracy': 0.6931927133269415} |
0.0189 | 951.0 | 63717 | 2.7343 | {'f1': 0.8019925280199253} | {'accuracy': 0.6951102588686481} |
0.0189 | 952.0 | 63784 | 3.1393 | {'f1': 0.8134373125374925} | {'accuracy': 0.7018216682646213} |
0.0189 | 953.0 | 63851 | 2.5369 | {'f1': 0.8066157760814249} | {'accuracy': 0.7085330776605945} |
0.0189 | 954.0 | 63918 | 3.0867 | {'f1': 0.8012578616352202} | {'accuracy': 0.6970278044103547} |
0.0189 | 955.0 | 63985 | 3.2662 | {'f1': 0.8044692737430168} | {'accuracy': 0.697986577181208} |
0.0181 | 956.0 | 64052 | 3.1883 | {'f1': 0.8098461538461539} | {'accuracy': 0.7037392138063279} |
0.0181 | 957.0 | 64119 | 2.6549 | {'f1': 0.7906976744186046} | {'accuracy': 0.6893576222435283} |
0.0181 | 958.0 | 64186 | 2.9008 | {'f1': 0.8040201005025126} | {'accuracy': 0.700862895493768} |
0.0181 | 959.0 | 64253 | 3.1687 | {'f1': 0.8010043942247331} | {'accuracy': 0.6960690316395014} |
0.0181 | 960.0 | 64320 | 2.7892 | {'f1': 0.79021879021879} | {'accuracy': 0.6874400767018217} |
0.0181 | 961.0 | 64387 | 3.1476 | {'f1': 0.7964489537095751} | {'accuracy': 0.6922339405560882} |
0.0181 | 962.0 | 64454 | 3.0509 | {'f1': 0.7959183673469387} | {'accuracy': 0.6931927133269415} |
0.0133 | 963.0 | 64521 | 3.2702 | {'f1': 0.787206266318538} | {'accuracy': 0.6874400767018217} |
0.0133 | 964.0 | 64588 | 3.2887 | {'f1': 0.8035153797865663} | {'accuracy': 0.6999041227229147} |
0.0133 | 965.0 | 64655 | 3.3856 | {'f1': 0.7999999999999999} | {'accuracy': 0.6960690316395014} |
0.0133 | 966.0 | 64722 | 3.4850 | {'f1': 0.7938144329896908} | {'accuracy': 0.6931927133269415} |
0.0133 | 967.0 | 64789 | 3.6541 | {'f1': 0.7907276239536382} | {'accuracy': 0.6883988494726749} |
0.0133 | 968.0 | 64856 | 3.4824 | {'f1': 0.8049230769230769} | {'accuracy': 0.6960690316395014} |
0.0133 | 969.0 | 64923 | 3.5462 | {'f1': 0.797724399494311} | {'accuracy': 0.6931927133269415} |
0.0133 | 970.0 | 64990 | 3.2653 | {'f1': 0.8022045315370484} | {'accuracy': 0.6903163950143816} |
0.0053 | 971.0 | 65057 | 3.0006 | {'f1': 0.783012607830126} | {'accuracy': 0.6864813039309684} |
0.0053 | 972.0 | 65124 | 2.9346 | {'f1': 0.8089053803339517} | {'accuracy': 0.7037392138063279} |
0.0053 | 973.0 | 65191 | 3.1566 | {'f1': 0.811470408785845} | {'accuracy': 0.7037392138063279} |
0.0053 | 974.0 | 65258 | 3.3111 | {'f1': 0.8039095907147221} | {'accuracy': 0.6922339405560882} |
0.0053 | 975.0 | 65325 | 3.2422 | {'f1': 0.8104814137720902} | {'accuracy': 0.7018216682646213} |
0.0053 | 976.0 | 65392 | 3.2865 | {'f1': 0.8020113136392206} | {'accuracy': 0.697986577181208} |
0.0053 | 977.0 | 65459 | 2.9483 | {'f1': 0.7989723827874118} | {'accuracy': 0.6999041227229147} |
0.0142 | 978.0 | 65526 | 3.1442 | {'f1': 0.8066707844348363} | {'accuracy': 0.6999041227229147} |
0.0142 | 979.0 | 65593 | 3.2090 | {'f1': 0.7895424836601307} | {'accuracy': 0.6912751677852349} |
0.0142 | 980.0 | 65660 | 3.0796 | {'f1': 0.794855305466238} | {'accuracy': 0.6941514860977949} |
0.0142 | 981.0 | 65727 | 3.1314 | {'f1': 0.7974763406940064} | {'accuracy': 0.6922339405560882} |
0.0142 | 982.0 | 65794 | 3.0856 | {'f1': 0.8041743400859424} | {'accuracy': 0.6941514860977949} |
0.0142 | 983.0 | 65861 | 3.0588 | {'f1': 0.8066707844348363} | {'accuracy': 0.6999041227229147} |
0.0142 | 984.0 | 65928 | 3.0813 | {'f1': 0.8042526579111945} | {'accuracy': 0.6999041227229147} |
0.0142 | 985.0 | 65995 | 3.1416 | {'f1': 0.7984838913455464} | {'accuracy': 0.6941514860977949} |
0.0121 | 986.0 | 66062 | 3.3324 | {'f1': 0.7882653061224488} | {'accuracy': 0.6816874400767018} |
0.0121 | 987.0 | 66129 | 2.6602 | {'f1': 0.7868217054263565} | {'accuracy': 0.6836049856184084} |
0.0121 | 988.0 | 66196 | 3.2263 | {'f1': 0.8017510944340211} | {'accuracy': 0.6960690316395014} |
0.0121 | 989.0 | 66263 | 2.7945 | {'f1': 0.7952261306532664} | {'accuracy': 0.6874400767018217} |
0.0121 | 990.0 | 66330 | 2.9699 | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
0.0121 | 991.0 | 66397 | 2.9309 | {'f1': 0.7982062780269058} | {'accuracy': 0.697986577181208} |
0.0121 | 992.0 | 66464 | 3.1925 | {'f1': 0.7701612903225806} | {'accuracy': 0.6720997123681688} |
0.0144 | 993.0 | 66531 | 3.1637 | {'f1': 0.7975077881619936} | {'accuracy': 0.6883988494726749} |
0.0144 | 994.0 | 66598 | 3.1515 | {'f1': 0.800995024875622} | {'accuracy': 0.6931927133269415} |
0.0144 | 995.0 | 66665 | 3.1410 | {'f1': 0.8034934497816594} | {'accuracy': 0.697986577181208} |
0.0144 | 996.0 | 66732 | 3.2295 | {'f1': 0.8024464831804282} | {'accuracy': 0.6903163950143816} |
0.0144 | 997.0 | 66799 | 3.4990 | {'f1': 0.7873015873015873} | {'accuracy': 0.6788111217641419} |
0.0144 | 998.0 | 66866 | 3.5330 | {'f1': 0.7742363877822044} | {'accuracy': 0.6740172579098753} |
0.0144 | 999.0 | 66933 | 3.0990 | {'f1': 0.8037151702786378} | {'accuracy': 0.6960690316395014} |
0.0115 | 1000.0 | 67000 | 3.0340 | {'f1': 0.8093525179856115} | {'accuracy': 0.6951102588686481} |
0.0115 | 1001.0 | 67067 | 2.8672 | {'f1': 0.7865459249676584} | {'accuracy': 0.6836049856184084} |
0.0115 | 1002.0 | 67134 | 3.3453 | {'f1': 0.8177458033573142} | {'accuracy': 0.7085330776605945} |
0.0115 | 1003.0 | 67201 | 3.0494 | {'f1': 0.8014888337468983} | {'accuracy': 0.6931927133269415} |
0.0115 | 1004.0 | 67268 | 2.4179 | {'f1': 0.7880364109232769} | {'accuracy': 0.6874400767018217} |
0.0115 | 1005.0 | 67335 | 2.8554 | {'f1': 0.8} | {'accuracy': 0.6903163950143816} |
0.0115 | 1006.0 | 67402 | 2.9083 | {'f1': 0.7915869980879541} | {'accuracy': 0.6864813039309684} |
0.0115 | 1007.0 | 67469 | 2.7943 | {'f1': 0.8025000000000001} | {'accuracy': 0.6970278044103547} |
0.0237 | 1008.0 | 67536 | 3.0687 | {'f1': 0.8022249690976515} | {'accuracy': 0.6931927133269415} |
0.0237 | 1009.0 | 67603 | 3.2300 | {'f1': 0.8086642599277979} | {'accuracy': 0.6951102588686481} |
0.0237 | 1010.0 | 67670 | 3.0489 | {'f1': 0.8080684596577018} | {'accuracy': 0.6989453499520614} |
0.0237 | 1011.0 | 67737 | 2.3829 | {'f1': 0.811076923076923} | {'accuracy': 0.7056567593480345} |
0.0237 | 1012.0 | 67804 | 2.6326 | {'f1': 0.8137432188065099} | {'accuracy': 0.7037392138063279} |
0.0237 | 1013.0 | 67871 | 2.6943 | {'f1': 0.7945911139729556} | {'accuracy': 0.6941514860977949} |
0.0237 | 1014.0 | 67938 | 2.2405 | {'f1': 0.7945560596241089} | {'accuracy': 0.6960690316395014} |
0.0197 | 1015.0 | 68005 | 2.3780 | {'f1': 0.7954110898661567} | {'accuracy': 0.6922339405560882} |
0.0197 | 1016.0 | 68072 | 2.9965 | {'f1': 0.7950391644908615} | {'accuracy': 0.6989453499520614} |
0.0197 | 1017.0 | 68139 | 3.1821 | {'f1': 0.7919896640826873} | {'accuracy': 0.6912751677852349} |
0.0197 | 1018.0 | 68206 | 2.9261 | {'f1': 0.8009858287122612} | {'accuracy': 0.6903163950143816} |
0.0197 | 1019.0 | 68273 | 2.8284 | {'f1': 0.7683089214380826} | {'accuracy': 0.6663470757430489} |
0.0197 | 1020.0 | 68340 | 2.7335 | {'f1': 0.8056930693069306} | {'accuracy': 0.6989453499520614} |
0.0197 | 1021.0 | 68407 | 2.8814 | {'f1': 0.7889098928796472} | {'accuracy': 0.6788111217641419} |
0.0197 | 1022.0 | 68474 | 3.2869 | {'f1': 0.7864450127877236} | {'accuracy': 0.6797698945349953} |
0.0099 | 1023.0 | 68541 | 3.3244 | {'f1': 0.7987616099071208} | {'accuracy': 0.6883988494726749} |
0.0099 | 1024.0 | 68608 | 3.1372 | {'f1': 0.7886962106615284} | {'accuracy': 0.6845637583892618} |
0.0099 | 1025.0 | 68675 | 3.0743 | {'f1': 0.7934508816120905} | {'accuracy': 0.6855225311601151} |
0.0099 | 1026.0 | 68742 | 3.2397 | {'f1': 0.7954401519949335} | {'accuracy': 0.6903163950143816} |
0.0099 | 1027.0 | 68809 | 3.3029 | {'f1': 0.7936908517350159} | {'accuracy': 0.6864813039309684} |
0.0099 | 1028.0 | 68876 | 3.2730 | {'f1': 0.8052763819095478} | {'accuracy': 0.7027804410354745} |
0.0099 | 1029.0 | 68943 | 3.2279 | {'f1': 0.7945736434108528} | {'accuracy': 0.6951102588686481} |
0.0086 | 1030.0 | 69010 | 3.3918 | {'f1': 0.7804232804232805} | {'accuracy': 0.6816874400767018} |
0.0086 | 1031.0 | 69077 | 3.3415 | {'f1': 0.8015170670037927} | {'accuracy': 0.6989453499520614} |
0.0086 | 1032.0 | 69144 | 3.3949 | {'f1': 0.7918781725888324} | {'accuracy': 0.6855225311601151} |
0.0086 | 1033.0 | 69211 | 3.0363 | {'f1': 0.8051948051948051} | {'accuracy': 0.697986577181208} |
0.0086 | 1034.0 | 69278 | 3.2230 | {'f1': 0.7931253978357733} | {'accuracy': 0.6883988494726749} |
0.0086 | 1035.0 | 69345 | 3.2614 | {'f1': 0.7971938775510203} | {'accuracy': 0.6951102588686481} |
0.0086 | 1036.0 | 69412 | 3.4971 | {'f1': 0.785946649316851} | {'accuracy': 0.6845637583892618} |
0.0086 | 1037.0 | 69479 | 2.7941 | {'f1': 0.7878001297858532} | {'accuracy': 0.6864813039309684} |
0.0112 | 1038.0 | 69546 | 3.0209 | {'f1': 0.8007495315427857} | {'accuracy': 0.6941514860977949} |
0.0112 | 1039.0 | 69613 | 3.5217 | {'f1': 0.7987261146496815} | {'accuracy': 0.6970278044103547} |
0.0112 | 1040.0 | 69680 | 3.5303 | {'f1': 0.8074534161490684} | {'accuracy': 0.7027804410354745} |
0.0112 | 1041.0 | 69747 | 3.5898 | {'f1': 0.8074534161490684} | {'accuracy': 0.7027804410354745} |
0.0112 | 1042.0 | 69814 | 3.3746 | {'f1': 0.8067122436295835} | {'accuracy': 0.7018216682646213} |
0.0112 | 1043.0 | 69881 | 3.3544 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
0.0112 | 1044.0 | 69948 | 3.5639 | {'f1': 0.7994971715901948} | {'accuracy': 0.6941514860977949} |
0.0087 | 1045.0 | 70015 | 3.5225 | {'f1': 0.8120393120393121} | {'accuracy': 0.7066155321188878} |
0.0087 | 1046.0 | 70082 | 3.4617 | {'f1': 0.8065122103944896} | {'accuracy': 0.7037392138063279} |
0.0087 | 1047.0 | 70149 | 3.2125 | {'f1': 0.7992424242424243} | {'accuracy': 0.6951102588686481} |
0.0087 | 1048.0 | 70216 | 3.2547 | {'f1': 0.809464508094645} | {'accuracy': 0.7066155321188878} |
0.0087 | 1049.0 | 70283 | 3.3453 | {'f1': 0.8091697645600993} | {'accuracy': 0.7046979865771812} |
0.0087 | 1050.0 | 70350 | 3.6772 | {'f1': 0.7838196286472148} | {'accuracy': 0.6874400767018217} |
0.0087 | 1051.0 | 70417 | 3.2928 | {'f1': 0.7959697732997483} | {'accuracy': 0.6893576222435283} |
0.0087 | 1052.0 | 70484 | 3.5274 | {'f1': 0.8007290400972055} | {'accuracy': 0.6855225311601151} |
0.0079 | 1053.0 | 70551 | 3.0076 | {'f1': 0.7857142857142857} | {'accuracy': 0.6778523489932886} |
0.0079 | 1054.0 | 70618 | 3.0906 | {'f1': 0.8010107391029692} | {'accuracy': 0.697986577181208} |
0.0079 | 1055.0 | 70685 | 3.4920 | {'f1': 0.7809647979139503} | {'accuracy': 0.6778523489932886} |
0.0079 | 1056.0 | 70752 | 3.4379 | {'f1': 0.7922330097087378} | {'accuracy': 0.6922339405560882} |
0.0079 | 1057.0 | 70819 | 3.2769 | {'f1': 0.7892720306513411} | {'accuracy': 0.6836049856184084} |
0.0079 | 1058.0 | 70886 | 3.3621 | {'f1': 0.80622009569378} | {'accuracy': 0.6893576222435283} |
0.0079 | 1059.0 | 70953 | 3.2292 | {'f1': 0.7962382445141066} | {'accuracy': 0.6883988494726749} |
0.0167 | 1060.0 | 71020 | 3.4672 | {'f1': 0.8138424821002386} | {'accuracy': 0.700862895493768} |
0.0167 | 1061.0 | 71087 | 3.4670 | {'f1': 0.7977667493796526} | {'accuracy': 0.6874400767018217} |
0.0167 | 1062.0 | 71154 | 3.4714 | {'f1': 0.8065893837705919} | {'accuracy': 0.6960690316395014} |
0.0167 | 1063.0 | 71221 | 3.6003 | {'f1': 0.7919293820933165} | {'accuracy': 0.6836049856184084} |
0.0167 | 1064.0 | 71288 | 3.6491 | {'f1': 0.789980732177264} | {'accuracy': 0.6864813039309684} |
0.0167 | 1065.0 | 71355 | 3.3493 | {'f1': 0.7923076923076923} | {'accuracy': 0.6893576222435283} |
0.0167 | 1066.0 | 71422 | 3.6188 | {'f1': 0.8024844720496894} | {'accuracy': 0.6951102588686481} |
0.0167 | 1067.0 | 71489 | 3.7339 | {'f1': 0.7974842767295598} | {'accuracy': 0.6912751677852349} |
0.0053 | 1068.0 | 71556 | 3.7898 | {'f1': 0.808638272345531} | {'accuracy': 0.6941514860977949} |
0.0053 | 1069.0 | 71623 | 3.7242 | {'f1': 0.8029832193909261} | {'accuracy': 0.6960690316395014} |
0.0053 | 1070.0 | 71690 | 3.7964 | {'f1': 0.7909967845659164} | {'accuracy': 0.6883988494726749} |
0.0053 | 1071.0 | 71757 | 3.8982 | {'f1': 0.8029556650246306} | {'accuracy': 0.6931927133269415} |
0.0053 | 1072.0 | 71824 | 3.9462 | {'f1': 0.8029556650246306} | {'accuracy': 0.6931927133269415} |
0.0053 | 1073.0 | 71891 | 3.7817 | {'f1': 0.8004926108374384} | {'accuracy': 0.6893576222435283} |
0.0053 | 1074.0 | 71958 | 3.0934 | {'f1': 0.8061349693251534} | {'accuracy': 0.6970278044103547} |
0.0055 | 1075.0 | 72025 | 3.2319 | {'f1': 0.788659793814433} | {'accuracy': 0.6855225311601151} |
0.0055 | 1076.0 | 72092 | 3.6261 | {'f1': 0.8066502463054188} | {'accuracy': 0.6989453499520614} |
0.0055 | 1077.0 | 72159 | 3.7847 | {'f1': 0.7969924812030076} | {'accuracy': 0.6893576222435283} |
0.0055 | 1078.0 | 72226 | 3.8903 | {'f1': 0.8068880688806889} | {'accuracy': 0.6989453499520614} |
0.0055 | 1079.0 | 72293 | 3.5534 | {'f1': 0.7741935483870968} | {'accuracy': 0.6778523489932886} |
0.0055 | 1080.0 | 72360 | 3.5904 | {'f1': 0.800973828362751} | {'accuracy': 0.6864813039309684} |
0.0055 | 1081.0 | 72427 | 3.4700 | {'f1': 0.7931904161412359} | {'accuracy': 0.6855225311601151} |
0.0055 | 1082.0 | 72494 | 2.2374 | {'f1': 0.7969151670951157} | {'accuracy': 0.6970278044103547} |
0.0128 | 1083.0 | 72561 | 3.1073 | {'f1': 0.8074834037417018} | {'accuracy': 0.6941514860977949} |
0.0128 | 1084.0 | 72628 | 3.1048 | {'f1': 0.7997504678727386} | {'accuracy': 0.6922339405560882} |
0.0128 | 1085.0 | 72695 | 3.4886 | {'f1': 0.7842622950819672} | {'accuracy': 0.6845637583892618} |
0.0128 | 1086.0 | 72762 | 2.6979 | {'f1': 0.7992448080553808} | {'accuracy': 0.6941514860977949} |
0.0128 | 1087.0 | 72829 | 2.6011 | {'f1': 0.80522713130056} | {'accuracy': 0.6999041227229147} |
0.0128 | 1088.0 | 72896 | 2.7935 | {'f1': 0.795134443021767} | {'accuracy': 0.6931927133269415} |
0.0128 | 1089.0 | 72963 | 2.8149 | {'f1': 0.7934301958307012} | {'accuracy': 0.6864813039309684} |
0.0102 | 1090.0 | 73030 | 2.4064 | {'f1': 0.7851186658114175} | {'accuracy': 0.6788111217641419} |
0.0102 | 1091.0 | 73097 | 3.0002 | {'f1': 0.7761780104712042} | {'accuracy': 0.6720997123681688} |
0.0102 | 1092.0 | 73164 | 2.5768 | {'f1': 0.800973828362751} | {'accuracy': 0.6864813039309684} |
0.0102 | 1093.0 | 73231 | 2.6228 | {'f1': 0.7923809523809524} | {'accuracy': 0.6864813039309684} |
0.0102 | 1094.0 | 73298 | 3.1172 | {'f1': 0.8009797917942437} | {'accuracy': 0.6883988494726749} |
0.0102 | 1095.0 | 73365 | 3.2225 | {'f1': 0.7927363807138385} | {'accuracy': 0.6826462128475551} |
0.0102 | 1096.0 | 73432 | 3.1993 | {'f1': 0.7869481765834933} | {'accuracy': 0.6807286673058485} |
0.0102 | 1097.0 | 73499 | 3.2249 | {'f1': 0.7945544554455446} | {'accuracy': 0.6816874400767018} |
0.0113 | 1098.0 | 73566 | 3.0021 | {'f1': 0.7942283563362609} | {'accuracy': 0.6855225311601151} |
0.0113 | 1099.0 | 73633 | 3.2783 | {'f1': 0.789937106918239} | {'accuracy': 0.6797698945349953} |
0.0113 | 1100.0 | 73700 | 3.2241 | {'f1': 0.7876844130853111} | {'accuracy': 0.6826462128475551} |
0.0113 | 1101.0 | 73767 | 3.2043 | {'f1': 0.7858064516129031} | {'accuracy': 0.6816874400767018} |
0.0113 | 1102.0 | 73834 | 3.2081 | {'f1': 0.7972721636701798} | {'accuracy': 0.6864813039309684} |
0.0113 | 1103.0 | 73901 | 3.1247 | {'f1': 0.7967781908302354} | {'accuracy': 0.6855225311601151} |
0.0113 | 1104.0 | 73968 | 3.1455 | {'f1': 0.8004851425106124} | {'accuracy': 0.6845637583892618} |
0.0135 | 1105.0 | 74035 | 2.9494 | {'f1': 0.8014842300556587} | {'accuracy': 0.6922339405560882} |
0.0135 | 1106.0 | 74102 | 3.0959 | {'f1': 0.8} | {'accuracy': 0.6931927133269415} |
0.0135 | 1107.0 | 74169 | 3.1675 | {'f1': 0.794451450189155} | {'accuracy': 0.6874400767018217} |
0.0135 | 1108.0 | 74236 | 3.0224 | {'f1': 0.7825520833333334} | {'accuracy': 0.6797698945349953} |
0.0135 | 1109.0 | 74303 | 3.1419 | {'f1': 0.7963190184049082} | {'accuracy': 0.6816874400767018} |
0.0135 | 1110.0 | 74370 | 3.1566 | {'f1': 0.7910543130990415} | {'accuracy': 0.6864813039309684} |
0.0135 | 1111.0 | 74437 | 3.2853 | {'f1': 0.7995018679950187} | {'accuracy': 0.6912751677852349} |
0.0056 | 1112.0 | 74504 | 3.1494 | {'f1': 0.7911671924290221} | {'accuracy': 0.6826462128475551} |
0.0056 | 1113.0 | 74571 | 3.2777 | {'f1': 0.8007542426147077} | {'accuracy': 0.6960690316395014} |
0.0056 | 1114.0 | 74638 | 3.2349 | {'f1': 0.7946598855689764} | {'accuracy': 0.6903163950143816} |
0.0056 | 1115.0 | 74705 | 3.1965 | {'f1': 0.7990074441687346} | {'accuracy': 0.6893576222435283} |
0.0056 | 1116.0 | 74772 | 2.9184 | {'f1': 0.7989918084436043} | {'accuracy': 0.6941514860977949} |
0.0056 | 1117.0 | 74839 | 3.0098 | {'f1': 0.8007425742574258} | {'accuracy': 0.6912751677852349} |
0.0056 | 1118.0 | 74906 | 3.2794 | {'f1': 0.7761394101876674} | {'accuracy': 0.6797698945349953} |
0.0056 | 1119.0 | 74973 | 3.1009 | {'f1': 0.7852921864740643} | {'accuracy': 0.6864813039309684} |
0.0115 | 1120.0 | 75040 | 3.2466 | {'f1': 0.8017676767676767} | {'accuracy': 0.6989453499520614} |
0.0115 | 1121.0 | 75107 | 3.0730 | {'f1': 0.8040201005025126} | {'accuracy': 0.700862895493768} |
0.0115 | 1122.0 | 75174 | 2.6042 | {'f1': 0.8040455120101138} | {'accuracy': 0.7027804410354745} |
0.0115 | 1123.0 | 75241 | 2.9091 | {'f1': 0.802547770700637} | {'accuracy': 0.7027804410354745} |
0.0115 | 1124.0 | 75308 | 3.1645 | {'f1': 0.8042526579111945} | {'accuracy': 0.6999041227229147} |
0.0115 | 1125.0 | 75375 | 3.2814 | {'f1': 0.7917205692108668} | {'accuracy': 0.6912751677852349} |
0.0115 | 1126.0 | 75442 | 3.0079 | {'f1': 0.7913486005089059} | {'accuracy': 0.6855225311601151} |
0.0119 | 1127.0 | 75509 | 3.3441 | {'f1': 0.7942464040025017} | {'accuracy': 0.6845637583892618} |
0.0119 | 1128.0 | 75576 | 3.4920 | {'f1': 0.7962616822429905} | {'accuracy': 0.6864813039309684} |
0.0119 | 1129.0 | 75643 | 3.5675 | {'f1': 0.7921419518377694} | {'accuracy': 0.6855225311601151} |
0.0119 | 1130.0 | 75710 | 3.4266 | {'f1': 0.8027043638598649} | {'accuracy': 0.6922339405560882} |
0.0119 | 1131.0 | 75777 | 3.5162 | {'f1': 0.7999999999999999} | {'accuracy': 0.6893576222435283} |
0.0119 | 1132.0 | 75844 | 3.4147 | {'f1': 0.7860824742268041} | {'accuracy': 0.6816874400767018} |
0.0119 | 1133.0 | 75911 | 3.4354 | {'f1': 0.7995064774830352} | {'accuracy': 0.6883988494726749} |
0.0119 | 1134.0 | 75978 | 3.0447 | {'f1': 0.8002473716759431} | {'accuracy': 0.6903163950143816} |
0.0041 | 1135.0 | 76045 | 3.2903 | {'f1': 0.7947103274559194} | {'accuracy': 0.6874400767018217} |
0.0041 | 1136.0 | 76112 | 3.8316 | {'f1': 0.7917205692108668} | {'accuracy': 0.6912751677852349} |
0.0041 | 1137.0 | 76179 | 3.8730 | {'f1': 0.7894736842105263} | {'accuracy': 0.6855225311601151} |
0.0041 | 1138.0 | 76246 | 3.9395 | {'f1': 0.7888239116309291} | {'accuracy': 0.6883988494726749} |
0.0041 | 1139.0 | 76313 | 3.9728 | {'f1': 0.7851949768671512} | {'accuracy': 0.6883988494726749} |
0.0041 | 1140.0 | 76380 | 3.8511 | {'f1': 0.7967067764407854} | {'accuracy': 0.6922339405560882} |
0.0041 | 1141.0 | 76447 | 3.9834 | {'f1': 0.7864583333333334} | {'accuracy': 0.6855225311601151} |
0.0035 | 1142.0 | 76514 | 3.9015 | {'f1': 0.7945034353529045} | {'accuracy': 0.6845637583892618} |
0.0035 | 1143.0 | 76581 | 3.5008 | {'f1': 0.7992424242424243} | {'accuracy': 0.6951102588686481} |
0.0035 | 1144.0 | 76648 | 3.3379 | {'f1': 0.8027127003699138} | {'accuracy': 0.6931927133269415} |
0.0035 | 1145.0 | 76715 | 3.4962 | {'f1': 0.792884371029225} | {'accuracy': 0.6874400767018217} |
0.0035 | 1146.0 | 76782 | 3.6838 | {'f1': 0.8029739776951673} | {'accuracy': 0.6951102588686481} |
0.0035 | 1147.0 | 76849 | 3.8006 | {'f1': 0.7938931297709924} | {'accuracy': 0.6893576222435283} |
0.0035 | 1148.0 | 76916 | 3.8691 | {'f1': 0.7884244372990354} | {'accuracy': 0.6845637583892618} |
0.0035 | 1149.0 | 76983 | 3.7101 | {'f1': 0.7788911155644622} | {'accuracy': 0.6826462128475551} |
0.0097 | 1150.0 | 77050 | 3.5059 | {'f1': 0.7949685534591195} | {'accuracy': 0.6874400767018217} |
0.0097 | 1151.0 | 77117 | 3.1064 | {'f1': 0.792079207920792} | {'accuracy': 0.6778523489932886} |
0.0097 | 1152.0 | 77184 | 2.7728 | {'f1': 0.7868641339343205} | {'accuracy': 0.6826462128475551} |
0.0097 | 1153.0 | 77251 | 3.0177 | {'f1': 0.7938931297709924} | {'accuracy': 0.6893576222435283} |
0.0097 | 1154.0 | 77318 | 2.8995 | {'f1': 0.7914507772020726} | {'accuracy': 0.6912751677852349} |
0.0097 | 1155.0 | 77385 | 2.4337 | {'f1': 0.8} | {'accuracy': 0.6912751677852349} |
0.0097 | 1156.0 | 77452 | 3.0424 | {'f1': 0.799493991144845} | {'accuracy': 0.6960690316395014} |
0.019 | 1157.0 | 77519 | 3.0772 | {'f1': 0.792884371029225} | {'accuracy': 0.6874400767018217} |
0.019 | 1158.0 | 77586 | 2.9066 | {'f1': 0.7962616822429905} | {'accuracy': 0.6864813039309684} |
0.019 | 1159.0 | 77653 | 3.0677 | {'f1': 0.794451450189155} | {'accuracy': 0.6874400767018217} |
0.019 | 1160.0 | 77720 | 3.2869 | {'f1': 0.7945034353529045} | {'accuracy': 0.6845637583892618} |
0.019 | 1161.0 | 77787 | 3.4494 | {'f1': 0.7990105132962277} | {'accuracy': 0.6883988494726749} |
0.019 | 1162.0 | 77854 | 3.2672 | {'f1': 0.7918781725888324} | {'accuracy': 0.6855225311601151} |
0.019 | 1163.0 | 77921 | 2.6032 | {'f1': 0.7946936197094124} | {'accuracy': 0.6883988494726749} |
0.019 | 1164.0 | 77988 | 2.7758 | {'f1': 0.791800128122998} | {'accuracy': 0.6883988494726749} |
0.0103 | 1165.0 | 78055 | 3.0383 | {'f1': 0.7954256670902161} | {'accuracy': 0.6912751677852349} |
0.0103 | 1166.0 | 78122 | 3.0944 | {'f1': 0.7979734008866372} | {'accuracy': 0.6941514860977949} |
0.0103 | 1167.0 | 78189 | 3.2064 | {'f1': 0.7951959544879897} | {'accuracy': 0.6893576222435283} |
0.0103 | 1168.0 | 78256 | 3.2924 | {'f1': 0.8} | {'accuracy': 0.6931927133269415} |
0.0103 | 1169.0 | 78323 | 3.3902 | {'f1': 0.7892030848329049} | {'accuracy': 0.6855225311601151} |
0.0103 | 1170.0 | 78390 | 3.3314 | {'f1': 0.8031980319803198} | {'accuracy': 0.6931927133269415} |
0.0103 | 1171.0 | 78457 | 3.1778 | {'f1': 0.7999999999999999} | {'accuracy': 0.6922339405560882} |
0.0064 | 1172.0 | 78524 | 3.4124 | {'f1': 0.7846952010376135} | {'accuracy': 0.6816874400767018} |
0.0064 | 1173.0 | 78591 | 3.6115 | {'f1': 0.7960566851509551} | {'accuracy': 0.6826462128475551} |
0.0064 | 1174.0 | 78658 | 3.2290 | {'f1': 0.8012345679012346} | {'accuracy': 0.6912751677852349} |
0.0064 | 1175.0 | 78725 | 3.1631 | {'f1': 0.7877204441541477} | {'accuracy': 0.6883988494726749} |
0.0064 | 1176.0 | 78792 | 3.0946 | {'f1': 0.8069093152375079} | {'accuracy': 0.6999041227229147} |
0.0064 | 1177.0 | 78859 | 3.4270 | {'f1': 0.7945560596241089} | {'accuracy': 0.6960690316395014} |
0.0064 | 1178.0 | 78926 | 3.4954 | {'f1': 0.7898089171974522} | {'accuracy': 0.6836049856184084} |
0.0064 | 1179.0 | 78993 | 3.4205 | {'f1': 0.784910655195235} | {'accuracy': 0.6883988494726749} |
0.0067 | 1180.0 | 79060 | 3.4795 | {'f1': 0.798261949099938} | {'accuracy': 0.6883988494726749} |
0.0067 | 1181.0 | 79127 | 3.5360 | {'f1': 0.7908163265306123} | {'accuracy': 0.6855225311601151} |
0.0067 | 1182.0 | 79194 | 3.5430 | {'f1': 0.7982673267326732} | {'accuracy': 0.6874400767018217} |
0.0067 | 1183.0 | 79261 | 3.6041 | {'f1': 0.7989789406509252} | {'accuracy': 0.697986577181208} |
0.0067 | 1184.0 | 79328 | 3.1416 | {'f1': 0.8045977011494253} | {'accuracy': 0.6903163950143816} |
0.0067 | 1185.0 | 79395 | 3.0253 | {'f1': 0.7918781725888324} | {'accuracy': 0.6855225311601151} |
0.0067 | 1186.0 | 79462 | 3.1080 | {'f1': 0.799752781211372} | {'accuracy': 0.6893576222435283} |
0.0072 | 1187.0 | 79529 | 3.2647 | {'f1': 0.7804878048780487} | {'accuracy': 0.6807286673058485} |
0.0072 | 1188.0 | 79596 | 3.3372 | {'f1': 0.791139240506329} | {'accuracy': 0.6836049856184084} |
0.0072 | 1189.0 | 79663 | 3.0753 | {'f1': 0.8077858880778589} | {'accuracy': 0.6970278044103547} |
0.0072 | 1190.0 | 79730 | 3.0277 | {'f1': 0.7899159663865546} | {'accuracy': 0.6883988494726749} |
0.0072 | 1191.0 | 79797 | 3.1650 | {'f1': 0.7905491698595146} | {'accuracy': 0.6855225311601151} |
0.0072 | 1192.0 | 79864 | 3.0816 | {'f1': 0.7874519846350833} | {'accuracy': 0.6816874400767018} |
0.0072 | 1193.0 | 79931 | 3.3746 | {'f1': 0.7955528103767758} | {'accuracy': 0.6826462128475551} |
0.0072 | 1194.0 | 79998 | 3.4958 | {'f1': 0.7977736549165121} | {'accuracy': 0.6864813039309684} |
0.0068 | 1195.0 | 80065 | 2.7698 | {'f1': 0.7863577863577864} | {'accuracy': 0.6816874400767018} |
0.0068 | 1196.0 | 80132 | 3.1293 | {'f1': 0.7979861548143485} | {'accuracy': 0.6922339405560882} |
0.0068 | 1197.0 | 80199 | 3.1306 | {'f1': 0.8002481389578164} | {'accuracy': 0.6912751677852349} |
0.0068 | 1198.0 | 80266 | 3.3282 | {'f1': 0.7833441769681196} | {'accuracy': 0.6807286673058485} |
0.0068 | 1199.0 | 80333 | 3.3594 | {'f1': 0.801246105919003} | {'accuracy': 0.6941514860977949} |
0.0068 | 1200.0 | 80400 | 3.5114 | {'f1': 0.7957124842370744} | {'accuracy': 0.6893576222435283} |
0.0068 | 1201.0 | 80467 | 3.5820 | {'f1': 0.7995018679950187} | {'accuracy': 0.6912751677852349} |
0.0066 | 1202.0 | 80534 | 3.4154 | {'f1': 0.7882653061224488} | {'accuracy': 0.6816874400767018} |
0.0066 | 1203.0 | 80601 | 3.6391 | {'f1': 0.8002481389578164} | {'accuracy': 0.6912751677852349} |
0.0066 | 1204.0 | 80668 | 3.6717 | {'f1': 0.7987500000000002} | {'accuracy': 0.6912751677852349} |
0.0066 | 1205.0 | 80735 | 2.7817 | {'f1': 0.7992518703241895} | {'accuracy': 0.6912751677852349} |
0.0066 | 1206.0 | 80802 | 3.0225 | {'f1': 0.7982456140350878} | {'accuracy': 0.6912751677852349} |
0.0066 | 1207.0 | 80869 | 3.1949 | {'f1': 0.7964262922782387} | {'accuracy': 0.6941514860977949} |
0.0066 | 1208.0 | 80936 | 3.3429 | {'f1': 0.8019559902200489} | {'accuracy': 0.6893576222435283} |
0.0053 | 1209.0 | 81003 | 3.2483 | {'f1': 0.795765877957659} | {'accuracy': 0.6855225311601151} |
0.0053 | 1210.0 | 81070 | 3.2777 | {'f1': 0.7997535428219347} | {'accuracy': 0.6883988494726749} |
0.0053 | 1211.0 | 81137 | 3.2837 | {'f1': 0.7987577639751553} | {'accuracy': 0.6893576222435283} |
0.0053 | 1212.0 | 81204 | 3.2896 | {'f1': 0.798011187072716} | {'accuracy': 0.6883988494726749} |
0.0053 | 1213.0 | 81271 | 3.1924 | {'f1': 0.811264230077891} | {'accuracy': 0.697986577181208} |
0.0053 | 1214.0 | 81338 | 3.1311 | {'f1': 0.7967377666248431} | {'accuracy': 0.6893576222435283} |
0.0053 | 1215.0 | 81405 | 3.3636 | {'f1': 0.7946936197094124} | {'accuracy': 0.6883988494726749} |
0.0053 | 1216.0 | 81472 | 3.5888 | {'f1': 0.8019925280199253} | {'accuracy': 0.6951102588686481} |
0.0094 | 1217.0 | 81539 | 3.2291 | {'f1': 0.7783572359843546} | {'accuracy': 0.6740172579098753} |
0.0094 | 1218.0 | 81606 | 3.1653 | {'f1': 0.7935897435897437} | {'accuracy': 0.6912751677852349} |
0.0094 | 1219.0 | 81673 | 3.5366 | {'f1': 0.8054692355500311} | {'accuracy': 0.6999041227229147} |
0.0094 | 1220.0 | 81740 | 3.7869 | {'f1': 0.7803617571059431} | {'accuracy': 0.6740172579098753} |
0.0094 | 1221.0 | 81807 | 3.7690 | {'f1': 0.7994987468671679} | {'accuracy': 0.6931927133269415} |
0.0094 | 1222.0 | 81874 | 3.8623 | {'f1': 0.7921419518377694} | {'accuracy': 0.6855225311601151} |
0.0094 | 1223.0 | 81941 | 3.4384 | {'f1': 0.8112980769230769} | {'accuracy': 0.6989453499520614} |
0.0058 | 1224.0 | 82008 | 3.3999 | {'f1': 0.7856677524429967} | {'accuracy': 0.6845637583892618} |
0.0058 | 1225.0 | 82075 | 3.5340 | {'f1': 0.7997512437810945} | {'accuracy': 0.6912751677852349} |
0.0058 | 1226.0 | 82142 | 3.5987 | {'f1': 0.7995034140285537} | {'accuracy': 0.6903163950143816} |
0.0058 | 1227.0 | 82209 | 3.6794 | {'f1': 0.8072727272727273} | {'accuracy': 0.6951102588686481} |
0.0058 | 1228.0 | 82276 | 3.5475 | {'f1': 0.7995018679950187} | {'accuracy': 0.6912751677852349} |
0.0058 | 1229.0 | 82343 | 3.3019 | {'f1': 0.7909887359199} | {'accuracy': 0.6797698945349953} |
0.0058 | 1230.0 | 82410 | 3.4488 | {'f1': 0.8019863438857853} | {'accuracy': 0.6941514860977949} |
0.0058 | 1231.0 | 82477 | 2.8586 | {'f1': 0.8012422360248448} | {'accuracy': 0.6931927133269415} |
0.0068 | 1232.0 | 82544 | 3.3537 | {'f1': 0.8090298962782183} | {'accuracy': 0.6999041227229147} |
0.0068 | 1233.0 | 82611 | 3.2462 | {'f1': 0.8108441158348737} | {'accuracy': 0.7056567593480345} |
0.0068 | 1234.0 | 82678 | 3.3117 | {'f1': 0.7818061964403428} | {'accuracy': 0.6826462128475551} |
0.0068 | 1235.0 | 82745 | 3.4782 | {'f1': 0.7933884297520661} | {'accuracy': 0.6883988494726749} |
0.0068 | 1236.0 | 82812 | 3.3697 | {'f1': 0.8031882280809319} | {'accuracy': 0.6922339405560882} |
0.0068 | 1237.0 | 82879 | 3.2629 | {'f1': 0.7934714375392342} | {'accuracy': 0.6845637583892618} |
0.0068 | 1238.0 | 82946 | 3.4265 | {'f1': 0.7945034353529045} | {'accuracy': 0.6845637583892618} |
0.0062 | 1239.0 | 83013 | 3.5361 | {'f1': 0.8054187192118226} | {'accuracy': 0.6970278044103547} |
0.0062 | 1240.0 | 83080 | 3.3494 | {'f1': 0.7959313413858868} | {'accuracy': 0.6922339405560882} |
0.0062 | 1241.0 | 83147 | 3.5553 | {'f1': 0.7989886219974714} | {'accuracy': 0.6951102588686481} |
0.0062 | 1242.0 | 83214 | 3.6591 | {'f1': 0.7987421383647799} | {'accuracy': 0.6931927133269415} |
0.0062 | 1243.0 | 83281 | 3.6808 | {'f1': 0.8005018820577164} | {'accuracy': 0.6951102588686481} |
0.0062 | 1244.0 | 83348 | 3.7119 | {'f1': 0.8012539184952978} | {'accuracy': 0.6960690316395014} |
0.0062 | 1245.0 | 83415 | 3.7530 | {'f1': 0.7997512437810945} | {'accuracy': 0.6912751677852349} |
0.0062 | 1246.0 | 83482 | 3.8056 | {'f1': 0.8124253285543608} | {'accuracy': 0.6989453499520614} |
0.0013 | 1247.0 | 83549 | 3.7937 | {'f1': 0.7896774193548386} | {'accuracy': 0.6874400767018217} |
0.0013 | 1248.0 | 83616 | 3.7156 | {'f1': 0.8027465667915106} | {'accuracy': 0.6970278044103547} |
0.0013 | 1249.0 | 83683 | 3.8688 | {'f1': 0.7616400277970812} | {'accuracy': 0.6711409395973155} |
0.0013 | 1250.0 | 83750 | 3.8961 | {'f1': 0.7890724269377383} | {'accuracy': 0.6816874400767018} |
0.0013 | 1251.0 | 83817 | 3.9124 | {'f1': 0.7898412698412698} | {'accuracy': 0.6826462128475551} |
0.0013 | 1252.0 | 83884 | 3.4883 | {'f1': 0.7823800131492439} | {'accuracy': 0.6826462128475551} |
0.0013 | 1253.0 | 83951 | 3.6609 | {'f1': 0.7640297498309669} | {'accuracy': 0.6653883029721956} |
0.0059 | 1254.0 | 84018 | 3.3929 | {'f1': 0.7943625880845611} | {'accuracy': 0.6922339405560882} |
0.0059 | 1255.0 | 84085 | 3.5805 | {'f1': 0.7831245880026367} | {'accuracy': 0.6845637583892618} |
0.0059 | 1256.0 | 84152 | 3.7422 | {'f1': 0.7856677524429967} | {'accuracy': 0.6845637583892618} |
0.0059 | 1257.0 | 84219 | 3.4867 | {'f1': 0.8073846153846154} | {'accuracy': 0.6999041227229147} |
0.0059 | 1258.0 | 84286 | 3.7024 | {'f1': 0.7946768060836503} | {'accuracy': 0.6893576222435283} |
0.0059 | 1259.0 | 84353 | 3.7725 | {'f1': 0.7962025316455695} | {'accuracy': 0.6912751677852349} |
0.0059 | 1260.0 | 84420 | 2.9067 | {'f1': 0.7898832684824902} | {'accuracy': 0.6893576222435283} |
0.0059 | 1261.0 | 84487 | 3.4894 | {'f1': 0.7979669631512071} | {'accuracy': 0.6951102588686481} |
0.007 | 1262.0 | 84554 | 3.1540 | {'f1': 0.8049844236760124} | {'accuracy': 0.6999041227229147} |
0.007 | 1263.0 | 84621 | 2.8378 | {'f1': 0.7590027700831025} | {'accuracy': 0.6663470757430489} |
0.007 | 1264.0 | 84688 | 3.3140 | {'f1': 0.7956715467854869} | {'accuracy': 0.6922339405560882} |
0.007 | 1265.0 | 84755 | 3.5882 | {'f1': 0.8079800498753117} | {'accuracy': 0.7046979865771812} |
0.007 | 1266.0 | 84822 | 3.3394 | {'f1': 0.8022670025188916} | {'accuracy': 0.6989453499520614} |
0.007 | 1267.0 | 84889 | 2.9718 | {'f1': 0.7927225471085121} | {'accuracy': 0.6941514860977949} |
0.007 | 1268.0 | 84956 | 3.1527 | {'f1': 0.7915057915057916} | {'accuracy': 0.6893576222435283} |
0.0108 | 1269.0 | 85023 | 3.2264 | {'f1': 0.8086153846153846} | {'accuracy': 0.7018216682646213} |
0.0108 | 1270.0 | 85090 | 3.3707 | {'f1': 0.7924773022049285} | {'accuracy': 0.6931927133269415} |
0.0108 | 1271.0 | 85157 | 3.4901 | {'f1': 0.7953518398967075} | {'accuracy': 0.6960690316395014} |
0.0108 | 1272.0 | 85224 | 2.9175 | {'f1': 0.7838730998017183} | {'accuracy': 0.6864813039309684} |
0.0108 | 1273.0 | 85291 | 3.0297 | {'f1': 0.80306905370844} | {'accuracy': 0.7046979865771812} |
0.0108 | 1274.0 | 85358 | 3.2236 | {'f1': 0.7937336814621411} | {'accuracy': 0.6970278044103547} |
0.0108 | 1275.0 | 85425 | 3.3170 | {'f1': 0.8038461538461539} | {'accuracy': 0.7066155321188878} |
0.0108 | 1276.0 | 85492 | 3.4384 | {'f1': 0.7989657401422107} | {'accuracy': 0.7018216682646213} |
0.0073 | 1277.0 | 85559 | 3.4921 | {'f1': 0.8025641025641026} | {'accuracy': 0.7046979865771812} |
0.0073 | 1278.0 | 85626 | 3.5230 | {'f1': 0.8063897763578276} | {'accuracy': 0.7094918504314478} |
0.0073 | 1279.0 | 85693 | 3.5265 | {'f1': 0.8005050505050505} | {'accuracy': 0.6970278044103547} |
0.0073 | 1280.0 | 85760 | 3.5620 | {'f1': 0.799240025332489} | {'accuracy': 0.6960690316395014} |
0.0073 | 1281.0 | 85827 | 3.6076 | {'f1': 0.7964376590330787} | {'accuracy': 0.6931927133269415} |
0.0073 | 1282.0 | 85894 | 3.6283 | {'f1': 0.7964376590330787} | {'accuracy': 0.6931927133269415} |
0.0073 | 1283.0 | 85961 | 3.2767 | {'f1': 0.7873601053324556} | {'accuracy': 0.6903163950143816} |
0.0022 | 1284.0 | 86028 | 3.0641 | {'f1': 0.7754830113257828} | {'accuracy': 0.6768935762224353} |
0.0022 | 1285.0 | 86095 | 3.3379 | {'f1': 0.7861347285807717} | {'accuracy': 0.6864813039309684} |
0.0022 | 1286.0 | 86162 | 3.2709 | {'f1': 0.7799736495388669} | {'accuracy': 0.6797698945349953} |
0.0022 | 1287.0 | 86229 | 3.5519 | {'f1': 0.8007495315427857} | {'accuracy': 0.6941514860977949} |
0.0022 | 1288.0 | 86296 | 3.6914 | {'f1': 0.8032479700187384} | {'accuracy': 0.697986577181208} |
0.0022 | 1289.0 | 86363 | 3.7318 | {'f1': 0.7771124417831003} | {'accuracy': 0.6788111217641419} |
0.0022 | 1290.0 | 86430 | 3.3725 | {'f1': 0.7788079470198676} | {'accuracy': 0.6797698945349953} |
0.0022 | 1291.0 | 86497 | 3.4557 | {'f1': 0.7946428571428571} | {'accuracy': 0.6912751677852349} |
0.0098 | 1292.0 | 86564 | 2.9119 | {'f1': 0.7946084724005135} | {'accuracy': 0.6931927133269415} |
0.0098 | 1293.0 | 86631 | 3.1851 | {'f1': 0.8020240354206198} | {'accuracy': 0.6999041227229147} |
0.0098 | 1294.0 | 86698 | 3.3272 | {'f1': 0.8032890575585073} | {'accuracy': 0.7018216682646213} |
0.0098 | 1295.0 | 86765 | 3.4227 | {'f1': 0.8020240354206198} | {'accuracy': 0.6999041227229147} |
0.0098 | 1296.0 | 86832 | 3.4817 | {'f1': 0.8022741629816803} | {'accuracy': 0.6999041227229147} |
0.0098 | 1297.0 | 86899 | 3.6060 | {'f1': 0.7987220447284344} | {'accuracy': 0.697986577181208} |
0.0098 | 1298.0 | 86966 | 3.7033 | {'f1': 0.8007518796992481} | {'accuracy': 0.6951102588686481} |
0.0024 | 1299.0 | 87033 | 3.7602 | {'f1': 0.7881578947368421} | {'accuracy': 0.6912751677852349} |
0.0024 | 1300.0 | 87100 | 3.7850 | {'f1': 0.7945736434108528} | {'accuracy': 0.6951102588686481} |
0.0024 | 1301.0 | 87167 | 3.8434 | {'f1': 0.8007638446849141} | {'accuracy': 0.6999041227229147} |
0.0024 | 1302.0 | 87234 | 3.8535 | {'f1': 0.8007638446849141} | {'accuracy': 0.6999041227229147} |
0.0024 | 1303.0 | 87301 | 3.8445 | {'f1': 0.8074303405572756} | {'accuracy': 0.7018216682646213} |
0.0024 | 1304.0 | 87368 | 3.5415 | {'f1': 0.8057107386716326} | {'accuracy': 0.6999041227229147} |
0.0024 | 1305.0 | 87435 | 3.4859 | {'f1': 0.7901234567901234} | {'accuracy': 0.6903163950143816} |
0.0018 | 1306.0 | 87502 | 3.6122 | {'f1': 0.8099878197320342} | {'accuracy': 0.700862895493768} |
0.0018 | 1307.0 | 87569 | 2.6582 | {'f1': 0.798464491362764} | {'accuracy': 0.697986577181208} |
0.0018 | 1308.0 | 87636 | 3.1055 | {'f1': 0.8138424821002386} | {'accuracy': 0.700862895493768} |
0.0018 | 1309.0 | 87703 | 3.0705 | {'f1': 0.8066298342541437} | {'accuracy': 0.697986577181208} |
0.0018 | 1310.0 | 87770 | 3.1223 | {'f1': 0.7992495309568481} | {'accuracy': 0.6922339405560882} |
0.0018 | 1311.0 | 87837 | 3.2100 | {'f1': 0.8041488712629652} | {'accuracy': 0.6922339405560882} |
0.0018 | 1312.0 | 87904 | 3.1490 | {'f1': 0.8053365676167373} | {'accuracy': 0.6922339405560882} |
0.0018 | 1313.0 | 87971 | 3.2270 | {'f1': 0.7985166872682324} | {'accuracy': 0.6874400767018217} |
0.0073 | 1314.0 | 88038 | 3.3169 | {'f1': 0.7987654320987654} | {'accuracy': 0.6874400767018217} |
0.0073 | 1315.0 | 88105 | 3.2936 | {'f1': 0.8144578313253013} | {'accuracy': 0.7046979865771812} |
0.0073 | 1316.0 | 88172 | 3.3745 | {'f1': 0.8085365853658537} | {'accuracy': 0.6989453499520614} |
0.0073 | 1317.0 | 88239 | 3.7091 | {'f1': 0.7920049968769519} | {'accuracy': 0.6807286673058485} |
0.0073 | 1318.0 | 88306 | 3.7450 | {'f1': 0.8051001821493626} | {'accuracy': 0.6922339405560882} |
0.0073 | 1319.0 | 88373 | 3.3543 | {'f1': 0.7792207792207791} | {'accuracy': 0.6740172579098753} |
0.0073 | 1320.0 | 88440 | 3.4304 | {'f1': 0.7889447236180904} | {'accuracy': 0.6778523489932886} |
0.0075 | 1321.0 | 88507 | 3.4205 | {'f1': 0.7990074441687346} | {'accuracy': 0.6893576222435283} |
0.0075 | 1322.0 | 88574 | 3.0843 | {'f1': 0.8051001821493626} | {'accuracy': 0.6922339405560882} |
0.0075 | 1323.0 | 88641 | 2.6274 | {'f1': 0.793969849246231} | {'accuracy': 0.6855225311601151} |
0.0075 | 1324.0 | 88708 | 3.0044 | {'f1': 0.7977598008711886} | {'accuracy': 0.6883988494726749} |
0.0075 | 1325.0 | 88775 | 3.1386 | {'f1': 0.7977598008711886} | {'accuracy': 0.6883988494726749} |
0.0075 | 1326.0 | 88842 | 3.2852 | {'f1': 0.7886962106615284} | {'accuracy': 0.6845637583892618} |
0.0075 | 1327.0 | 88909 | 3.2371 | {'f1': 0.807621389059619} | {'accuracy': 0.6999041227229147} |
0.0075 | 1328.0 | 88976 | 3.3303 | {'f1': 0.8068880688806889} | {'accuracy': 0.6989453499520614} |
0.0043 | 1329.0 | 89043 | 3.3969 | {'f1': 0.8056580565805658} | {'accuracy': 0.6970278044103547} |
0.0043 | 1330.0 | 89110 | 3.4387 | {'f1': 0.7919896640826873} | {'accuracy': 0.6912751677852349} |
0.0043 | 1331.0 | 89177 | 3.4014 | {'f1': 0.7848266841072596} | {'accuracy': 0.6845637583892618} |
0.0043 | 1332.0 | 89244 | 3.1622 | {'f1': 0.7923809523809524} | {'accuracy': 0.6864813039309684} |
0.0043 | 1333.0 | 89311 | 3.3589 | {'f1': 0.795765877957659} | {'accuracy': 0.6855225311601151} |
0.0043 | 1334.0 | 89378 | 3.5396 | {'f1': 0.7840103159252095} | {'accuracy': 0.6788111217641419} |
0.0043 | 1335.0 | 89445 | 3.3702 | {'f1': 0.7987577639751553} | {'accuracy': 0.6893576222435283} |
0.0044 | 1336.0 | 89512 | 3.4707 | {'f1': 0.796330275229358} | {'accuracy': 0.6807286673058485} |
0.0044 | 1337.0 | 89579 | 3.2519 | {'f1': 0.7977667493796526} | {'accuracy': 0.6874400767018217} |
0.0044 | 1338.0 | 89646 | 3.1946 | {'f1': 0.7905236907730674} | {'accuracy': 0.6778523489932886} |
0.0044 | 1339.0 | 89713 | 3.3121 | {'f1': 0.7797270955165692} | {'accuracy': 0.6749760306807286} |
0.0044 | 1340.0 | 89780 | 3.5212 | {'f1': 0.776673293571902} | {'accuracy': 0.6768935762224353} |
0.0044 | 1341.0 | 89847 | 3.5682 | {'f1': 0.7826086956521738} | {'accuracy': 0.6788111217641419} |
0.0044 | 1342.0 | 89914 | 3.6382 | {'f1': 0.7900128040973112} | {'accuracy': 0.6855225311601151} |
0.0044 | 1343.0 | 89981 | 3.8192 | {'f1': 0.802937576499388} | {'accuracy': 0.6912751677852349} |
0.0018 | 1344.0 | 90048 | 3.8163 | {'f1': 0.786692759295499} | {'accuracy': 0.6864813039309684} |
0.0018 | 1345.0 | 90115 | 3.3277 | {'f1': 0.8046826863832409} | {'accuracy': 0.6960690316395014} |
0.0018 | 1346.0 | 90182 | 3.5026 | {'f1': 0.7960074859638179} | {'accuracy': 0.6864813039309684} |
0.0018 | 1347.0 | 90249 | 3.4149 | {'f1': 0.7999999999999999} | {'accuracy': 0.6922339405560882} |
0.0018 | 1348.0 | 90316 | 3.5256 | {'f1': 0.8007471980074721} | {'accuracy': 0.6931927133269415} |
0.0018 | 1349.0 | 90383 | 3.4582 | {'f1': 0.7995049504950494} | {'accuracy': 0.6893576222435283} |
0.0018 | 1350.0 | 90450 | 3.4387 | {'f1': 0.7929956222639148} | {'accuracy': 0.6826462128475551} |
0.0098 | 1351.0 | 90517 | 3.4374 | {'f1': 0.7964934251721979} | {'accuracy': 0.6883988494726749} |
0.0098 | 1352.0 | 90584 | 3.5526 | {'f1': 0.7880330999363463} | {'accuracy': 0.6807286673058485} |
0.0098 | 1353.0 | 90651 | 3.6285 | {'f1': 0.7886435331230284} | {'accuracy': 0.6788111217641419} |
0.0098 | 1354.0 | 90718 | 3.6885 | {'f1': 0.7896399241945673} | {'accuracy': 0.6807286673058485} |
0.0098 | 1355.0 | 90785 | 3.7110 | {'f1': 0.7901077996195307} | {'accuracy': 0.6826462128475551} |
0.0098 | 1356.0 | 90852 | 2.9285 | {'f1': 0.791194968553459} | {'accuracy': 0.6816874400767018} |
0.0098 | 1357.0 | 90919 | 3.3688 | {'f1': 0.8002450980392157} | {'accuracy': 0.6874400767018217} |
0.0098 | 1358.0 | 90986 | 2.5591 | {'f1': 0.7907869481765835} | {'accuracy': 0.6864813039309684} |
0.0059 | 1359.0 | 91053 | 2.7547 | {'f1': 0.8046540110226578} | {'accuracy': 0.6941514860977949} |
0.0059 | 1360.0 | 91120 | 3.0628 | {'f1': 0.8041615667074663} | {'accuracy': 0.6931927133269415} |
0.0059 | 1361.0 | 91187 | 3.2081 | {'f1': 0.7987616099071208} | {'accuracy': 0.6883988494726749} |
0.0059 | 1362.0 | 91254 | 3.3036 | {'f1': 0.8024539877300614} | {'accuracy': 0.6912751677852349} |
0.0059 | 1363.0 | 91321 | 3.3669 | {'f1': 0.7992565055762082} | {'accuracy': 0.6893576222435283} |
0.0059 | 1364.0 | 91388 | 3.3955 | {'f1': 0.7985028072364316} | {'accuracy': 0.6903163950143816} |
0.0059 | 1365.0 | 91455 | 3.4439 | {'f1': 0.7957393483709274} | {'accuracy': 0.6874400767018217} |
0.0029 | 1366.0 | 91522 | 3.4882 | {'f1': 0.7949685534591195} | {'accuracy': 0.6874400767018217} |
0.0029 | 1367.0 | 91589 | 3.6078 | {'f1': 0.8065893837705919} | {'accuracy': 0.6960690316395014} |
0.0029 | 1368.0 | 91656 | 3.6177 | {'f1': 0.8048632218844985} | {'accuracy': 0.6922339405560882} |
0.0029 | 1369.0 | 91723 | 3.5784 | {'f1': 0.801998750780762} | {'accuracy': 0.6960690316395014} |
0.0029 | 1370.0 | 91790 | 3.6970 | {'f1': 0.80440097799511} | {'accuracy': 0.6931927133269415} |
0.0029 | 1371.0 | 91857 | 3.5104 | {'f1': 0.8014796547472257} | {'accuracy': 0.6912751677852349} |
0.0029 | 1372.0 | 91924 | 3.4500 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
0.0029 | 1373.0 | 91991 | 3.3145 | {'f1': 0.7916137229987293} | {'accuracy': 0.6855225311601151} |
0.0048 | 1374.0 | 92058 | 3.4664 | {'f1': 0.7908745247148289} | {'accuracy': 0.6836049856184084} |
0.0048 | 1375.0 | 92125 | 3.5522 | {'f1': 0.7962962962962964} | {'accuracy': 0.6836049856184084} |
0.0048 | 1376.0 | 92192 | 3.1959 | {'f1': 0.7972805933250927} | {'accuracy': 0.6855225311601151} |
0.0048 | 1377.0 | 92259 | 3.3601 | {'f1': 0.7937694704049844} | {'accuracy': 0.6826462128475551} |
0.0048 | 1378.0 | 92326 | 3.6030 | {'f1': 0.7987692307692308} | {'accuracy': 0.6864813039309684} |
0.0048 | 1379.0 | 92393 | 3.7060 | {'f1': 0.7972889710412815} | {'accuracy': 0.6845637583892618} |
0.0048 | 1380.0 | 92460 | 3.6752 | {'f1': 0.7926442612555485} | {'accuracy': 0.6864813039309684} |
0.0034 | 1381.0 | 92527 | 3.6294 | {'f1': 0.801470588235294} | {'accuracy': 0.6893576222435283} |
0.0034 | 1382.0 | 92594 | 3.3531 | {'f1': 0.7905491698595146} | {'accuracy': 0.6855225311601151} |
0.0034 | 1383.0 | 92661 | 3.6748 | {'f1': 0.801470588235294} | {'accuracy': 0.6893576222435283} |
0.0034 | 1384.0 | 92728 | 3.4228 | {'f1': 0.8004895960832313} | {'accuracy': 0.6874400767018217} |
0.0034 | 1385.0 | 92795 | 2.9708 | {'f1': 0.798261949099938} | {'accuracy': 0.6883988494726749} |
0.0034 | 1386.0 | 92862 | 3.1387 | {'f1': 0.7951959544879897} | {'accuracy': 0.6893576222435283} |
0.0034 | 1387.0 | 92929 | 3.4098 | {'f1': 0.7695417789757413} | {'accuracy': 0.6720997123681688} |
0.0034 | 1388.0 | 92996 | 3.3922 | {'f1': 0.7936708860759493} | {'accuracy': 0.6874400767018217} |
0.0052 | 1389.0 | 93063 | 3.4956 | {'f1': 0.7913486005089059} | {'accuracy': 0.6855225311601151} |
0.0052 | 1390.0 | 93130 | 3.5436 | {'f1': 0.7923809523809524} | {'accuracy': 0.6864813039309684} |
0.0052 | 1391.0 | 93197 | 3.4887 | {'f1': 0.7864450127877236} | {'accuracy': 0.6797698945349953} |
0.0052 | 1392.0 | 93264 | 3.6942 | {'f1': 0.7830006439150032} | {'accuracy': 0.6768935762224353} |
0.0052 | 1393.0 | 93331 | 2.9826 | {'f1': 0.811332127787824} | {'accuracy': 0.6999041227229147} |
0.0052 | 1394.0 | 93398 | 2.9983 | {'f1': 0.7822736030828518} | {'accuracy': 0.6749760306807286} |
0.0052 | 1395.0 | 93465 | 3.2938 | {'f1': 0.7704590818363273} | {'accuracy': 0.6692233940556088} |
0.0068 | 1396.0 | 93532 | 2.9958 | {'f1': 0.785946649316851} | {'accuracy': 0.6845637583892618} |
0.0068 | 1397.0 | 93599 | 3.0239 | {'f1': 0.7788778877887788} | {'accuracy': 0.6788111217641419} |
0.0068 | 1398.0 | 93666 | 3.4180 | {'f1': 0.8043875685557585} | {'accuracy': 0.6922339405560882} |
0.0068 | 1399.0 | 93733 | 3.4258 | {'f1': 0.7969543147208121} | {'accuracy': 0.6931927133269415} |
0.0068 | 1400.0 | 93800 | 3.5414 | {'f1': 0.802252816020025} | {'accuracy': 0.6970278044103547} |
0.0068 | 1401.0 | 93867 | 3.2204 | {'f1': 0.8063725490196079} | {'accuracy': 0.6970278044103547} |
0.0068 | 1402.0 | 93934 | 3.4795 | {'f1': 0.8068043742405833} | {'accuracy': 0.6951102588686481} |
0.0041 | 1403.0 | 94001 | 3.5626 | {'f1': 0.8037037037037037} | {'accuracy': 0.6951102588686481} |
0.0041 | 1404.0 | 94068 | 3.6109 | {'f1': 0.8012422360248448} | {'accuracy': 0.6931927133269415} |
0.0041 | 1405.0 | 94135 | 3.6412 | {'f1': 0.8012422360248448} | {'accuracy': 0.6931927133269415} |
0.0041 | 1406.0 | 94202 | 3.7176 | {'f1': 0.8029286150091519} | {'accuracy': 0.6903163950143816} |
0.0041 | 1407.0 | 94269 | 3.1087 | {'f1': 0.804611650485437} | {'accuracy': 0.6912751677852349} |
0.0041 | 1408.0 | 94336 | 3.0846 | {'f1': 0.7793923381770146} | {'accuracy': 0.6797698945349953} |
0.0041 | 1409.0 | 94403 | 3.3676 | {'f1': 0.7905491698595146} | {'accuracy': 0.6855225311601151} |
0.0041 | 1410.0 | 94470 | 3.4582 | {'f1': 0.800497203231821} | {'accuracy': 0.6922339405560882} |
0.0059 | 1411.0 | 94537 | 3.2096 | {'f1': 0.7977315689981097} | {'accuracy': 0.6922339405560882} |
0.0059 | 1412.0 | 94604 | 3.3712 | {'f1': 0.7913486005089059} | {'accuracy': 0.6855225311601151} |
0.0059 | 1413.0 | 94671 | 3.5329 | {'f1': 0.7977873386601106} | {'accuracy': 0.6845637583892618} |
0.0059 | 1414.0 | 94738 | 3.0765 | {'f1': 0.7813525935653316} | {'accuracy': 0.6807286673058485} |
0.0059 | 1415.0 | 94805 | 3.3088 | {'f1': 0.7835723598435462} | {'accuracy': 0.6816874400767018} |
0.0059 | 1416.0 | 94872 | 3.1667 | {'f1': 0.7979797979797981} | {'accuracy': 0.6931927133269415} |
0.0059 | 1417.0 | 94939 | 3.2078 | {'f1': 0.798023471278567} | {'accuracy': 0.6864813039309684} |
0.007 | 1418.0 | 95006 | 3.1327 | {'f1': 0.7829508196721311} | {'accuracy': 0.6826462128475551} |
0.007 | 1419.0 | 95073 | 3.2775 | {'f1': 0.790638836179633} | {'accuracy': 0.6826462128475551} |
0.007 | 1420.0 | 95140 | 3.4375 | {'f1': 0.797752808988764} | {'accuracy': 0.6893576222435283} |
0.007 | 1421.0 | 95207 | 3.4627 | {'f1': 0.7790019442644199} | {'accuracy': 0.673058485139022} |
0.007 | 1422.0 | 95274 | 3.4447 | {'f1': 0.7806788511749347} | {'accuracy': 0.6778523489932886} |
0.007 | 1423.0 | 95341 | 3.5408 | {'f1': 0.7908455181182453} | {'accuracy': 0.6845637583892618} |
0.007 | 1424.0 | 95408 | 3.6807 | {'f1': 0.7985120892746435} | {'accuracy': 0.6883988494726749} |
0.007 | 1425.0 | 95475 | 3.6972 | {'f1': 0.7868437697659709} | {'accuracy': 0.6768935762224353} |
0.0028 | 1426.0 | 95542 | 3.7329 | {'f1': 0.7861635220125784} | {'accuracy': 0.6740172579098753} |
0.0028 | 1427.0 | 95609 | 3.6850 | {'f1': 0.7794404684450227} | {'accuracy': 0.6749760306807286} |
0.0028 | 1428.0 | 95676 | 3.7515 | {'f1': 0.8002450980392157} | {'accuracy': 0.6874400767018217} |
0.0028 | 1429.0 | 95743 | 3.4235 | {'f1': 0.7967377666248431} | {'accuracy': 0.6893576222435283} |
0.0028 | 1430.0 | 95810 | 3.5204 | {'f1': 0.7802631578947368} | {'accuracy': 0.6797698945349953} |
0.0028 | 1431.0 | 95877 | 3.7457 | {'f1': 0.7990165949600492} | {'accuracy': 0.6864813039309684} |
0.0028 | 1432.0 | 95944 | 3.7481 | {'f1': 0.7952110901071204} | {'accuracy': 0.6883988494726749} |
0.0028 | 1433.0 | 96011 | 3.7664 | {'f1': 0.7916137229987293} | {'accuracy': 0.6855225311601151} |
0.0028 | 1434.0 | 96078 | 4.0154 | {'f1': 0.8033674082982563} | {'accuracy': 0.6864813039309684} |
0.0028 | 1435.0 | 96145 | 3.7095 | {'f1': 0.7887323943661971} | {'accuracy': 0.6836049856184084} |
0.0028 | 1436.0 | 96212 | 3.6431 | {'f1': 0.7901390644753477} | {'accuracy': 0.6816874400767018} |
0.0028 | 1437.0 | 96279 | 3.6659 | {'f1': 0.7901701323251417} | {'accuracy': 0.6807286673058485} |
0.0028 | 1438.0 | 96346 | 3.8164 | {'f1': 0.7915057915057916} | {'accuracy': 0.6893576222435283} |
0.0028 | 1439.0 | 96413 | 4.0316 | {'f1': 0.7943696450428397} | {'accuracy': 0.6778523489932886} |
0.0028 | 1440.0 | 96480 | 3.9612 | {'f1': 0.789980732177264} | {'accuracy': 0.6864813039309684} |
0.0022 | 1441.0 | 96547 | 4.0944 | {'f1': 0.7943349753694582} | {'accuracy': 0.6797698945349953} |
0.0022 | 1442.0 | 96614 | 4.0300 | {'f1': 0.7878787878787878} | {'accuracy': 0.6845637583892618} |
0.0022 | 1443.0 | 96681 | 4.0878 | {'f1': 0.7902010050251256} | {'accuracy': 0.6797698945349953} |
0.0022 | 1444.0 | 96748 | 2.6609 | {'f1': 0.7903123008285532} | {'accuracy': 0.6845637583892618} |
0.0022 | 1445.0 | 96815 | 3.1001 | {'f1': 0.7969924812030076} | {'accuracy': 0.6893576222435283} |
0.0022 | 1446.0 | 96882 | 3.2334 | {'f1': 0.7975} | {'accuracy': 0.6893576222435283} |
0.0022 | 1447.0 | 96949 | 3.3149 | {'f1': 0.7975} | {'accuracy': 0.6893576222435283} |
0.0056 | 1448.0 | 97016 | 2.9839 | {'f1': 0.7967980295566502} | {'accuracy': 0.6836049856184084} |
0.0056 | 1449.0 | 97083 | 3.2777 | {'f1': 0.7922403003754693} | {'accuracy': 0.6816874400767018} |
0.0056 | 1450.0 | 97150 | 3.4127 | {'f1': 0.7921914357682619} | {'accuracy': 0.6836049856184084} |
0.0056 | 1451.0 | 97217 | 3.4066 | {'f1': 0.7975460122699386} | {'accuracy': 0.6836049856184084} |
0.0056 | 1452.0 | 97284 | 3.4439 | {'f1': 0.7999999999999999} | {'accuracy': 0.6893576222435283} |
0.0056 | 1453.0 | 97351 | 3.4630 | {'f1': 0.7878787878787878} | {'accuracy': 0.6845637583892618} |
0.0056 | 1454.0 | 97418 | 3.5340 | {'f1': 0.787917737789203} | {'accuracy': 0.6836049856184084} |
0.0056 | 1455.0 | 97485 | 3.6116 | {'f1': 0.7900763358778626} | {'accuracy': 0.6836049856184084} |
0.001 | 1456.0 | 97552 | 3.6596 | {'f1': 0.7908455181182453} | {'accuracy': 0.6845637583892618} |
0.001 | 1457.0 | 97619 | 3.7172 | {'f1': 0.7942101950912525} | {'accuracy': 0.6864813039309684} |
0.001 | 1458.0 | 97686 | 3.8821 | {'f1': 0.8041112454655381} | {'accuracy': 0.6893576222435283} |
0.001 | 1459.0 | 97753 | 3.9079 | {'f1': 0.7962848297213623} | {'accuracy': 0.6845637583892618} |
0.001 | 1460.0 | 97820 | 3.9333 | {'f1': 0.795525170913611} | {'accuracy': 0.6845637583892618} |
0.001 | 1461.0 | 97887 | 3.9671 | {'f1': 0.7950155763239874} | {'accuracy': 0.6845637583892618} |
0.001 | 1462.0 | 97954 | 4.0220 | {'f1': 0.8128342245989304} | {'accuracy': 0.697986577181208} |
0.002 | 1463.0 | 98021 | 3.8808 | {'f1': 0.7972551466001249} | {'accuracy': 0.6883988494726749} |
0.002 | 1464.0 | 98088 | 3.2191 | {'f1': 0.7942643391521197} | {'accuracy': 0.6836049856184084} |
0.002 | 1465.0 | 98155 | 3.1337 | {'f1': 0.7865459249676584} | {'accuracy': 0.6836049856184084} |
0.002 | 1466.0 | 98222 | 3.5121 | {'f1': 0.7934918648310388} | {'accuracy': 0.6836049856184084} |
0.002 | 1467.0 | 98289 | 3.5791 | {'f1': 0.7920298879202988} | {'accuracy': 0.6797698945349953} |
0.002 | 1468.0 | 98356 | 3.6671 | {'f1': 0.7945375543140906} | {'accuracy': 0.6826462128475551} |
0.002 | 1469.0 | 98423 | 3.7416 | {'f1': 0.7970297029702972} | {'accuracy': 0.6855225311601151} |
0.002 | 1470.0 | 98490 | 3.7897 | {'f1': 0.7970297029702972} | {'accuracy': 0.6855225311601151} |
0.0032 | 1471.0 | 98557 | 3.8409 | {'f1': 0.7930391547545058} | {'accuracy': 0.6807286673058485} |
0.0032 | 1472.0 | 98624 | 3.8764 | {'f1': 0.7925233644859814} | {'accuracy': 0.6807286673058485} |
0.0032 | 1473.0 | 98691 | 3.7442 | {'f1': 0.7957124842370744} | {'accuracy': 0.6893576222435283} |
0.0032 | 1474.0 | 98758 | 3.5361 | {'f1': 0.7835723598435462} | {'accuracy': 0.6816874400767018} |
0.0032 | 1475.0 | 98825 | 3.6365 | {'f1': 0.7843388960205392} | {'accuracy': 0.6778523489932886} |
0.0032 | 1476.0 | 98892 | 3.6972 | {'f1': 0.7985028072364316} | {'accuracy': 0.6903163950143816} |
0.0032 | 1477.0 | 98959 | 3.4654 | {'f1': 0.7896725440806045} | {'accuracy': 0.6797698945349953} |
0.0042 | 1478.0 | 99026 | 3.5478 | {'f1': 0.7887683471601787} | {'accuracy': 0.6826462128475551} |
0.0042 | 1479.0 | 99093 | 3.6689 | {'f1': 0.7872204472843451} | {'accuracy': 0.6807286673058485} |
0.0042 | 1480.0 | 99160 | 3.7419 | {'f1': 0.7853939782190903} | {'accuracy': 0.6788111217641419} |
0.0042 | 1481.0 | 99227 | 3.7795 | {'f1': 0.7867177522349936} | {'accuracy': 0.6797698945349953} |
0.0042 | 1482.0 | 99294 | 3.8072 | {'f1': 0.7867177522349936} | {'accuracy': 0.6797698945349953} |
0.0042 | 1483.0 | 99361 | 3.8444 | {'f1': 0.7895740623013351} | {'accuracy': 0.6826462128475551} |
0.0042 | 1484.0 | 99428 | 3.4205 | {'f1': 0.796032238065716} | {'accuracy': 0.6845637583892618} |
0.0042 | 1485.0 | 99495 | 3.7125 | {'f1': 0.7967881408276715} | {'accuracy': 0.6845637583892618} |
0.0021 | 1486.0 | 99562 | 3.5731 | {'f1': 0.7941735275490817} | {'accuracy': 0.6883988494726749} |
0.0021 | 1487.0 | 99629 | 3.5467 | {'f1': 0.802252816020025} | {'accuracy': 0.6970278044103547} |
0.0021 | 1488.0 | 99696 | 3.3460 | {'f1': 0.7716955941255007} | {'accuracy': 0.6720997123681688} |
0.0021 | 1489.0 | 99763 | 3.5381 | {'f1': 0.8066707844348363} | {'accuracy': 0.6999041227229147} |
0.0021 | 1490.0 | 99830 | 3.5567 | {'f1': 0.8005003126954346} | {'accuracy': 0.6941514860977949} |
0.0021 | 1491.0 | 99897 | 3.5840 | {'f1': 0.7820429407937541} | {'accuracy': 0.6788111217641419} |
0.0021 | 1492.0 | 99964 | 3.6197 | {'f1': 0.7833441769681196} | {'accuracy': 0.6807286673058485} |
0.0023 | 1493.0 | 100031 | 3.8801 | {'f1': 0.801470588235294} | {'accuracy': 0.6893576222435283} |
0.0023 | 1494.0 | 100098 | 3.8196 | {'f1': 0.7916666666666666} | {'accuracy': 0.6836049856184084} |
0.0023 | 1495.0 | 100165 | 3.9101 | {'f1': 0.7924764890282132} | {'accuracy': 0.6826462128475551} |
0.0023 | 1496.0 | 100232 | 3.8737 | {'f1': 0.7937304075235111} | {'accuracy': 0.6845637583892618} |
0.0023 | 1497.0 | 100299 | 3.8839 | {'f1': 0.7929736511919698} | {'accuracy': 0.6836049856184084} |
0.0023 | 1498.0 | 100366 | 3.8983 | {'f1': 0.7922159447583176} | {'accuracy': 0.6826462128475551} |
0.0023 | 1499.0 | 100433 | 3.8861 | {'f1': 0.795525170913611} | {'accuracy': 0.6845637583892618} |
0.0023 | 1500.0 | 100500 | 3.7224 | {'f1': 0.7930174563591023} | {'accuracy': 0.6816874400767018} |
0.0023 | 1501.0 | 100567 | 3.5882 | {'f1': 0.7987654320987654} | {'accuracy': 0.6874400767018217} |
0.0023 | 1502.0 | 100634 | 3.7528 | {'f1': 0.7999999999999999} | {'accuracy': 0.6874400767018217} |
0.0023 | 1503.0 | 100701 | 3.8137 | {'f1': 0.7987692307692308} | {'accuracy': 0.6864813039309684} |
0.0023 | 1504.0 | 100768 | 3.7997 | {'f1': 0.7901390644753477} | {'accuracy': 0.6816874400767018} |
0.0023 | 1505.0 | 100835 | 3.8251 | {'f1': 0.7865311308767472} | {'accuracy': 0.6778523489932886} |
0.0023 | 1506.0 | 100902 | 3.7625 | {'f1': 0.7877237851662404} | {'accuracy': 0.6816874400767018} |
0.0023 | 1507.0 | 100969 | 3.8550 | {'f1': 0.7982673267326732} | {'accuracy': 0.6874400767018217} |
0.0025 | 1508.0 | 101036 | 3.9085 | {'f1': 0.7999999999999999} | {'accuracy': 0.6893576222435283} |
0.0025 | 1509.0 | 101103 | 4.0174 | {'f1': 0.7683997299122215} | {'accuracy': 0.6711409395973155} |
0.0025 | 1510.0 | 101170 | 3.8887 | {'f1': 0.7985028072364316} | {'accuracy': 0.6903163950143816} |
0.0025 | 1511.0 | 101237 | 3.9713 | {'f1': 0.8034292712798531} | {'accuracy': 0.6922339405560882} |
0.0025 | 1512.0 | 101304 | 3.9676 | {'f1': 0.7949843260188089} | {'accuracy': 0.6864813039309684} |
0.0025 | 1513.0 | 101371 | 4.1217 | {'f1': 0.7922885572139303} | {'accuracy': 0.6797698945349953} |
0.0025 | 1514.0 | 101438 | 4.1307 | {'f1': 0.792803970223325} | {'accuracy': 0.6797698945349953} |
0.0022 | 1515.0 | 101505 | 4.1507 | {'f1': 0.7937694704049844} | {'accuracy': 0.6826462128475551} |
0.0022 | 1516.0 | 101572 | 4.1694 | {'f1': 0.7942643391521197} | {'accuracy': 0.6836049856184084} |
0.0022 | 1517.0 | 101639 | 4.1070 | {'f1': 0.7830618892508142} | {'accuracy': 0.6807286673058485} |
0.0022 | 1518.0 | 101706 | 4.1144 | {'f1': 0.7897371714643304} | {'accuracy': 0.6778523489932886} |
0.0022 | 1519.0 | 101773 | 4.1304 | {'f1': 0.7904940587867417} | {'accuracy': 0.6788111217641419} |
0.0022 | 1520.0 | 101840 | 4.1613 | {'f1': 0.7943349753694582} | {'accuracy': 0.6797698945349953} |
0.0022 | 1521.0 | 101907 | 2.8205 | {'f1': 0.8000000000000002} | {'accuracy': 0.6864813039309684} |
0.0022 | 1522.0 | 101974 | 2.9388 | {'f1': 0.7928616953473551} | {'accuracy': 0.6883988494726749} |
0.0052 | 1523.0 | 102041 | 3.3218 | {'f1': 0.8034504004929144} | {'accuracy': 0.6941514860977949} |
0.0052 | 1524.0 | 102108 | 3.6264 | {'f1': 0.8048929663608563} | {'accuracy': 0.6941514860977949} |
0.0052 | 1525.0 | 102175 | 3.6915 | {'f1': 0.7895740623013351} | {'accuracy': 0.6826462128475551} |
0.0052 | 1526.0 | 102242 | 3.7584 | {'f1': 0.7879948914431673} | {'accuracy': 0.6816874400767018} |
0.0052 | 1527.0 | 102309 | 3.7586 | {'f1': 0.7881899871630295} | {'accuracy': 0.6836049856184084} |
0.0052 | 1528.0 | 102376 | 3.8460 | {'f1': 0.776595744680851} | {'accuracy': 0.6778523489932886} |
0.0052 | 1529.0 | 102443 | 3.9641 | {'f1': 0.7866752081998718} | {'accuracy': 0.6807286673058485} |
0.0014 | 1530.0 | 102510 | 3.9847 | {'f1': 0.7866752081998718} | {'accuracy': 0.6807286673058485} |
0.0014 | 1531.0 | 102577 | 4.0077 | {'f1': 0.7874519846350833} | {'accuracy': 0.6816874400767018} |
0.0014 | 1532.0 | 102644 | 3.9787 | {'f1': 0.7925233644859814} | {'accuracy': 0.6807286673058485} |
0.0014 | 1533.0 | 102711 | 4.0011 | {'f1': 0.7927815805849409} | {'accuracy': 0.6807286673058485} |
0.0014 | 1534.0 | 102778 | 4.0214 | {'f1': 0.7927815805849409} | {'accuracy': 0.6807286673058485} |
0.0014 | 1535.0 | 102845 | 4.0718 | {'f1': 0.7932118164676305} | {'accuracy': 0.6845637583892618} |
0.0014 | 1536.0 | 102912 | 4.1053 | {'f1': 0.7939508506616256} | {'accuracy': 0.6864813039309684} |
0.0014 | 1537.0 | 102979 | 4.1312 | {'f1': 0.7932118164676305} | {'accuracy': 0.6845637583892618} |
0.0004 | 1538.0 | 103046 | 4.1561 | {'f1': 0.7949843260188089} | {'accuracy': 0.6864813039309684} |
0.0004 | 1539.0 | 103113 | 4.1738 | {'f1': 0.7952261306532664} | {'accuracy': 0.6874400767018217} |
0.0004 | 1540.0 | 103180 | 4.2048 | {'f1': 0.7929292929292929} | {'accuracy': 0.6855225311601151} |
0.0004 | 1541.0 | 103247 | 4.2178 | {'f1': 0.7929292929292929} | {'accuracy': 0.6855225311601151} |
0.0004 | 1542.0 | 103314 | 4.2313 | {'f1': 0.7929292929292929} | {'accuracy': 0.6855225311601151} |
0.0004 | 1543.0 | 103381 | 4.2515 | {'f1': 0.7926675094816686} | {'accuracy': 0.6855225311601151} |
0.0004 | 1544.0 | 103448 | 4.2633 | {'f1': 0.7926675094816686} | {'accuracy': 0.6855225311601151} |
0.0 | 1545.0 | 103515 | 4.2731 | {'f1': 0.7926675094816686} | {'accuracy': 0.6855225311601151} |
0.0 | 1546.0 | 103582 | 4.3004 | {'f1': 0.7905792488860598} | {'accuracy': 0.6845637583892618} |
0.0 | 1547.0 | 103649 | 4.2600 | {'f1': 0.8108433734939758} | {'accuracy': 0.6989453499520614} |
0.0 | 1548.0 | 103716 | 4.2463 | {'f1': 0.7972889710412815} | {'accuracy': 0.6845637583892618} |
0.0 | 1549.0 | 103783 | 4.2732 | {'f1': 0.7924764890282132} | {'accuracy': 0.6826462128475551} |
0.0 | 1550.0 | 103850 | 3.8756 | {'f1': 0.8043875685557585} | {'accuracy': 0.6922339405560882} |
0.0 | 1551.0 | 103917 | 3.2448 | {'f1': 0.7796610169491526} | {'accuracy': 0.675934803451582} |
0.0 | 1552.0 | 103984 | 3.3519 | {'f1': 0.7755905511811024} | {'accuracy': 0.6720997123681688} |
0.0053 | 1553.0 | 104051 | 3.4056 | {'f1': 0.7838541666666667} | {'accuracy': 0.6816874400767018} |
0.0053 | 1554.0 | 104118 | 3.3728 | {'f1': 0.7960687960687961} | {'accuracy': 0.6816874400767018} |
0.0053 | 1555.0 | 104185 | 3.4948 | {'f1': 0.7962962962962964} | {'accuracy': 0.6836049856184084} |
0.0053 | 1556.0 | 104252 | 3.5787 | {'f1': 0.7975155279503106} | {'accuracy': 0.6874400767018217} |
0.0053 | 1557.0 | 104319 | 3.6518 | {'f1': 0.802937576499388} | {'accuracy': 0.6912751677852349} |
0.0053 | 1558.0 | 104386 | 3.6993 | {'f1': 0.7856685860524631} | {'accuracy': 0.6788111217641419} |
0.0053 | 1559.0 | 104453 | 3.7444 | {'f1': 0.7858974358974359} | {'accuracy': 0.6797698945349953} |
0.0023 | 1560.0 | 104520 | 3.7746 | {'f1': 0.7929956222639148} | {'accuracy': 0.6826462128475551} |
0.0023 | 1561.0 | 104587 | 3.7981 | {'f1': 0.7909604519774011} | {'accuracy': 0.6807286673058485} |
0.0023 | 1562.0 | 104654 | 3.8361 | {'f1': 0.7914572864321608} | {'accuracy': 0.6816874400767018} |
0.0023 | 1563.0 | 104721 | 3.4894 | {'f1': 0.797724399494311} | {'accuracy': 0.6931927133269415} |
0.0023 | 1564.0 | 104788 | 3.3312 | {'f1': 0.7967067764407854} | {'accuracy': 0.6922339405560882} |
0.0023 | 1565.0 | 104855 | 3.4150 | {'f1': 0.7933461292386437} | {'accuracy': 0.6903163950143816} |
0.0023 | 1566.0 | 104922 | 3.5188 | {'f1': 0.8034610630407911} | {'accuracy': 0.6951102588686481} |
0.0023 | 1567.0 | 104989 | 3.5993 | {'f1': 0.7944688874921433} | {'accuracy': 0.6864813039309684} |
0.0039 | 1568.0 | 105056 | 3.6588 | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
0.0039 | 1569.0 | 105123 | 3.6182 | {'f1': 0.8049230769230769} | {'accuracy': 0.6960690316395014} |
0.0039 | 1570.0 | 105190 | 3.6035 | {'f1': 0.797752808988764} | {'accuracy': 0.6893576222435283} |
0.0039 | 1571.0 | 105257 | 3.0259 | {'f1': 0.8034934497816594} | {'accuracy': 0.697986577181208} |
0.0039 | 1572.0 | 105324 | 2.7303 | {'f1': 0.7826657912015758} | {'accuracy': 0.6826462128475551} |
0.0039 | 1573.0 | 105391 | 3.0361 | {'f1': 0.8044554455445544} | {'accuracy': 0.6970278044103547} |
0.0039 | 1574.0 | 105458 | 3.1971 | {'f1': 0.8027380211574363} | {'accuracy': 0.6960690316395014} |
0.0041 | 1575.0 | 105525 | 3.3204 | {'f1': 0.8007542426147077} | {'accuracy': 0.6960690316395014} |
0.0041 | 1576.0 | 105592 | 3.3879 | {'f1': 0.7997473152242578} | {'accuracy': 0.6960690316395014} |
0.0041 | 1577.0 | 105659 | 3.4529 | {'f1': 0.799240025332489} | {'accuracy': 0.6960690316395014} |
0.0041 | 1578.0 | 105726 | 3.4423 | {'f1': 0.7910828025477706} | {'accuracy': 0.6855225311601151} |
0.0041 | 1579.0 | 105793 | 3.5559 | {'f1': 0.7997520148791073} | {'accuracy': 0.6903163950143816} |
0.0041 | 1580.0 | 105860 | 3.5181 | {'f1': 0.7915330339961514} | {'accuracy': 0.6883988494726749} |
0.0041 | 1581.0 | 105927 | 3.7802 | {'f1': 0.7982673267326732} | {'accuracy': 0.6874400767018217} |
0.0041 | 1582.0 | 105994 | 3.7558 | {'f1': 0.7856677524429967} | {'accuracy': 0.6845637583892618} |
0.0021 | 1583.0 | 106061 | 3.8630 | {'f1': 0.7937304075235111} | {'accuracy': 0.6845637583892618} |
0.0021 | 1584.0 | 106128 | 3.8877 | {'f1': 0.794486215538847} | {'accuracy': 0.6855225311601151} |
0.0021 | 1585.0 | 106195 | 3.9093 | {'f1': 0.794486215538847} | {'accuracy': 0.6855225311601151} |
0.0021 | 1586.0 | 106262 | 4.0294 | {'f1': 0.8098974049487024} | {'accuracy': 0.697986577181208} |
0.0021 | 1587.0 | 106329 | 4.1821 | {'f1': 0.7855297157622738} | {'accuracy': 0.6816874400767018} |
0.0021 | 1588.0 | 106396 | 4.1093 | {'f1': 0.7920298879202988} | {'accuracy': 0.6797698945349953} |
0.0021 | 1589.0 | 106463 | 4.0642 | {'f1': 0.8004910988336403} | {'accuracy': 0.6883988494726749} |
0.0022 | 1590.0 | 106530 | 4.1014 | {'f1': 0.8002458512599877} | {'accuracy': 0.6883988494726749} |
0.0022 | 1591.0 | 106597 | 4.1137 | {'f1': 0.8002458512599877} | {'accuracy': 0.6883988494726749} |
0.0022 | 1592.0 | 106664 | 4.1217 | {'f1': 0.8002466091245377} | {'accuracy': 0.6893576222435283} |
0.0022 | 1593.0 | 106731 | 4.1343 | {'f1': 0.8002466091245377} | {'accuracy': 0.6893576222435283} |
0.0022 | 1594.0 | 106798 | 3.8850 | {'f1': 0.788896061975468} | {'accuracy': 0.6864813039309684} |
0.0022 | 1595.0 | 106865 | 4.0425 | {'f1': 0.7970660146699265} | {'accuracy': 0.6816874400767018} |
0.0022 | 1596.0 | 106932 | 4.0677 | {'f1': 0.7968078575813382} | {'accuracy': 0.6826462128475551} |
0.0022 | 1597.0 | 106999 | 4.0900 | {'f1': 0.7990105132962277} | {'accuracy': 0.6883988494726749} |
0.0012 | 1598.0 | 107066 | 4.1110 | {'f1': 0.7967781908302354} | {'accuracy': 0.6855225311601151} |
0.0012 | 1599.0 | 107133 | 4.1241 | {'f1': 0.7967781908302354} | {'accuracy': 0.6855225311601151} |
0.0012 | 1600.0 | 107200 | 4.1416 | {'f1': 0.7965260545905707} | {'accuracy': 0.6855225311601151} |
0.0012 | 1601.0 | 107267 | 4.1563 | {'f1': 0.796273291925466} | {'accuracy': 0.6855225311601151} |
0.0012 | 1602.0 | 107334 | 4.1722 | {'f1': 0.7970204841713222} | {'accuracy': 0.6864813039309684} |
0.0012 | 1603.0 | 107401 | 4.1870 | {'f1': 0.7975155279503106} | {'accuracy': 0.6874400767018217} |
0.0012 | 1604.0 | 107468 | 4.2041 | {'f1': 0.7970204841713222} | {'accuracy': 0.6864813039309684} |
0.0 | 1605.0 | 107535 | 4.2186 | {'f1': 0.7975155279503106} | {'accuracy': 0.6874400767018217} |
0.0 | 1606.0 | 107602 | 3.8197 | {'f1': 0.7879564381806533} | {'accuracy': 0.6826462128475551} |
0.0 | 1607.0 | 107669 | 3.9413 | {'f1': 0.7885350318471337} | {'accuracy': 0.6816874400767018} |
0.0 | 1608.0 | 107736 | 4.0083 | {'f1': 0.7918781725888324} | {'accuracy': 0.6855225311601151} |
0.0 | 1609.0 | 107803 | 4.0489 | {'f1': 0.7936908517350159} | {'accuracy': 0.6864813039309684} |
0.0 | 1610.0 | 107870 | 4.0726 | {'f1': 0.7949685534591195} | {'accuracy': 0.6874400767018217} |
0.0 | 1611.0 | 107937 | 4.1010 | {'f1': 0.794451450189155} | {'accuracy': 0.6874400767018217} |
0.0009 | 1612.0 | 108004 | 4.1190 | {'f1': 0.7936908517350159} | {'accuracy': 0.6864813039309684} |
0.0009 | 1613.0 | 108071 | 4.1431 | {'f1': 0.794451450189155} | {'accuracy': 0.6874400767018217} |
0.0009 | 1614.0 | 108138 | 4.1575 | {'f1': 0.7962264150943396} | {'accuracy': 0.6893576222435283} |
0.0009 | 1615.0 | 108205 | 3.1793 | {'f1': 0.7915601023017901} | {'accuracy': 0.6874400767018217} |
0.0009 | 1616.0 | 108272 | 3.1908 | {'f1': 0.7969348659003831} | {'accuracy': 0.6951102588686481} |
0.0009 | 1617.0 | 108339 | 3.4530 | {'f1': 0.7982176957352005} | {'accuracy': 0.6960690316395014} |
0.0009 | 1618.0 | 108406 | 3.6305 | {'f1': 0.7972465581977473} | {'accuracy': 0.6893576222435283} |
0.0009 | 1619.0 | 108473 | 3.7223 | {'f1': 0.8017294626312539} | {'accuracy': 0.6922339405560882} |
0.0039 | 1620.0 | 108540 | 3.7554 | {'f1': 0.7987460815047022} | {'accuracy': 0.6922339405560882} |
0.0039 | 1621.0 | 108607 | 3.7986 | {'f1': 0.7987421383647799} | {'accuracy': 0.6931927133269415} |
0.0039 | 1622.0 | 108674 | 3.8255 | {'f1': 0.7979861548143485} | {'accuracy': 0.6922339405560882} |
0.0039 | 1623.0 | 108741 | 3.8519 | {'f1': 0.8} | {'accuracy': 0.6970278044103547} |
0.0039 | 1624.0 | 108808 | 3.9522 | {'f1': 0.8007425742574258} | {'accuracy': 0.6912751677852349} |
0.0039 | 1625.0 | 108875 | 4.0400 | {'f1': 0.8017135862913096} | {'accuracy': 0.6893576222435283} |
0.0039 | 1626.0 | 108942 | 4.0046 | {'f1': 0.8007542426147077} | {'accuracy': 0.6960690316395014} |
0.0007 | 1627.0 | 109009 | 4.0444 | {'f1': 0.7987500000000002} | {'accuracy': 0.6912751677852349} |
0.0007 | 1628.0 | 109076 | 4.0479 | {'f1': 0.7989949748743719} | {'accuracy': 0.6931927133269415} |
0.0007 | 1629.0 | 109143 | 4.0185 | {'f1': 0.7808764940239044} | {'accuracy': 0.6836049856184084} |
0.0007 | 1630.0 | 109210 | 4.0807 | {'f1': 0.7735849056603774} | {'accuracy': 0.6778523489932886} |
0.0007 | 1631.0 | 109277 | 4.0875 | {'f1': 0.7811671087533156} | {'accuracy': 0.6836049856184084} |
0.0007 | 1632.0 | 109344 | 4.0152 | {'f1': 0.8002496878901374} | {'accuracy': 0.6931927133269415} |
0.0007 | 1633.0 | 109411 | 4.0305 | {'f1': 0.7969639468690701} | {'accuracy': 0.6922339405560882} |
0.0007 | 1634.0 | 109478 | 4.0407 | {'f1': 0.7969639468690701} | {'accuracy': 0.6922339405560882} |
0.0008 | 1635.0 | 109545 | 4.2311 | {'f1': 0.8021978021978021} | {'accuracy': 0.6893576222435283} |
0.0008 | 1636.0 | 109612 | 4.2416 | {'f1': 0.8009797917942437} | {'accuracy': 0.6883988494726749} |
0.0008 | 1637.0 | 109679 | 3.9004 | {'f1': 0.7959053103007038} | {'accuracy': 0.6941514860977949} |
0.0008 | 1638.0 | 109746 | 3.9997 | {'f1': 0.7989918084436043} | {'accuracy': 0.6941514860977949} |
0.0008 | 1639.0 | 109813 | 4.0388 | {'f1': 0.8002496878901374} | {'accuracy': 0.6931927133269415} |
0.0008 | 1640.0 | 109880 | 4.0510 | {'f1': 0.8002496878901374} | {'accuracy': 0.6931927133269415} |
0.0008 | 1641.0 | 109947 | 4.0671 | {'f1': 0.8002496878901374} | {'accuracy': 0.6931927133269415} |
0.001 | 1642.0 | 110014 | 4.0815 | {'f1': 0.8002496878901374} | {'accuracy': 0.6931927133269415} |
0.001 | 1643.0 | 110081 | 4.1041 | {'f1': 0.802252816020025} | {'accuracy': 0.6970278044103547} |
0.001 | 1644.0 | 110148 | 4.0852 | {'f1': 0.778585591539987} | {'accuracy': 0.6788111217641419} |
0.001 | 1645.0 | 110215 | 4.1923 | {'f1': 0.7933461292386437} | {'accuracy': 0.6903163950143816} |
0.001 | 1646.0 | 110282 | 3.5644 | {'f1': 0.7862156987874921} | {'accuracy': 0.6788111217641419} |
0.001 | 1647.0 | 110349 | 3.7453 | {'f1': 0.800497203231821} | {'accuracy': 0.6922339405560882} |
0.001 | 1648.0 | 110416 | 3.7919 | {'f1': 0.7990043559427504} | {'accuracy': 0.6903163950143816} |
0.001 | 1649.0 | 110483 | 3.8302 | {'f1': 0.7990043559427504} | {'accuracy': 0.6903163950143816} |
0.002 | 1650.0 | 110550 | 3.8901 | {'f1': 0.7932118164676305} | {'accuracy': 0.6845637583892618} |
0.002 | 1651.0 | 110617 | 3.9527 | {'f1': 0.7942283563362609} | {'accuracy': 0.6855225311601151} |
0.002 | 1652.0 | 110684 | 3.9801 | {'f1': 0.7942283563362609} | {'accuracy': 0.6855225311601151} |
0.002 | 1653.0 | 110751 | 4.0161 | {'f1': 0.7949843260188089} | {'accuracy': 0.6864813039309684} |
0.002 | 1654.0 | 110818 | 4.0293 | {'f1': 0.7957393483709274} | {'accuracy': 0.6874400767018217} |
0.002 | 1655.0 | 110885 | 4.0505 | {'f1': 0.7921667719519899} | {'accuracy': 0.6845637583892618} |
0.002 | 1656.0 | 110952 | 4.0706 | {'f1': 0.7911111111111112} | {'accuracy': 0.6845637583892618} |
0.0003 | 1657.0 | 111019 | 4.1681 | {'f1': 0.8021911138161899} | {'accuracy': 0.6883988494726749} |
0.0003 | 1658.0 | 111086 | 4.2152 | {'f1': 0.8007334963325183} | {'accuracy': 0.6874400767018217} |
0.0003 | 1659.0 | 111153 | 4.2482 | {'f1': 0.8007334963325183} | {'accuracy': 0.6874400767018217} |
0.0003 | 1660.0 | 111220 | 4.2729 | {'f1': 0.7995079950799507} | {'accuracy': 0.6874400767018217} |
0.0003 | 1661.0 | 111287 | 4.2937 | {'f1': 0.7970297029702972} | {'accuracy': 0.6855225311601151} |
0.0003 | 1662.0 | 111354 | 4.1520 | {'f1': 0.7900128040973112} | {'accuracy': 0.6855225311601151} |
0.0003 | 1663.0 | 111421 | 4.1884 | {'f1': 0.791025641025641} | {'accuracy': 0.6874400767018217} |
0.0003 | 1664.0 | 111488 | 4.2273 | {'f1': 0.7933673469387755} | {'accuracy': 0.6893576222435283} |
0.0005 | 1665.0 | 111555 | 4.2483 | {'f1': 0.7969543147208121} | {'accuracy': 0.6931927133269415} |
0.0005 | 1666.0 | 111622 | 4.2647 | {'f1': 0.7964489537095751} | {'accuracy': 0.6922339405560882} |
0.0005 | 1667.0 | 111689 | 4.3076 | {'f1': 0.7979797979797981} | {'accuracy': 0.6931927133269415} |
0.0005 | 1668.0 | 111756 | 4.3231 | {'f1': 0.7974763406940064} | {'accuracy': 0.6922339405560882} |
0.0005 | 1669.0 | 111823 | 4.4933 | {'f1': 0.8014842300556587} | {'accuracy': 0.6922339405560882} |
0.0005 | 1670.0 | 111890 | 4.5103 | {'f1': 0.8014842300556587} | {'accuracy': 0.6922339405560882} |
0.0005 | 1671.0 | 111957 | 4.5242 | {'f1': 0.8014842300556587} | {'accuracy': 0.6922339405560882} |
0.0 | 1672.0 | 112024 | 4.6731 | {'f1': 0.8120924718435093} | {'accuracy': 0.6960690316395014} |
0.0 | 1673.0 | 112091 | 3.9627 | {'f1': 0.7881519639407599} | {'accuracy': 0.6845637583892618} |
0.0 | 1674.0 | 112158 | 4.0934 | {'f1': 0.7830065359477124} | {'accuracy': 0.6816874400767018} |
0.0 | 1675.0 | 112225 | 4.1837 | {'f1': 0.780392156862745} | {'accuracy': 0.6778523489932886} |
0.0 | 1676.0 | 112292 | 4.1882 | {'f1': 0.7997550520514392} | {'accuracy': 0.6864813039309684} |
0.0 | 1677.0 | 112359 | 4.2919 | {'f1': 0.7918523233609166} | {'accuracy': 0.6864813039309684} |
0.0 | 1678.0 | 112426 | 4.3186 | {'f1': 0.791640278657378} | {'accuracy': 0.6845637583892618} |
0.0 | 1679.0 | 112493 | 3.9454 | {'f1': 0.8034188034188033} | {'accuracy': 0.6912751677852349} |
0.0043 | 1680.0 | 112560 | 3.9531 | {'f1': 0.8091511137868754} | {'accuracy': 0.6960690316395014} |
0.0043 | 1681.0 | 112627 | 3.9804 | {'f1': 0.8012232415902141} | {'accuracy': 0.6883988494726749} |
0.0043 | 1682.0 | 112694 | 3.9714 | {'f1': 0.7951807228915663} | {'accuracy': 0.6903163950143816} |
0.0043 | 1683.0 | 112761 | 3.8504 | {'f1': 0.7990105132962277} | {'accuracy': 0.6883988494726749} |
0.0043 | 1684.0 | 112828 | 3.7065 | {'f1': 0.7992610837438424} | {'accuracy': 0.6874400767018217} |
0.0043 | 1685.0 | 112895 | 3.7996 | {'f1': 0.7969735182849936} | {'accuracy': 0.6912751677852349} |
0.0043 | 1686.0 | 112962 | 3.8814 | {'f1': 0.7959949937421777} | {'accuracy': 0.6874400767018217} |
0.0015 | 1687.0 | 113029 | 3.9349 | {'f1': 0.7935121646912041} | {'accuracy': 0.6826462128475551} |
0.0015 | 1688.0 | 113096 | 4.0164 | {'f1': 0.7987730061349694} | {'accuracy': 0.6855225311601151} |
0.0015 | 1689.0 | 113163 | 4.0515 | {'f1': 0.7997550520514392} | {'accuracy': 0.6864813039309684} |
0.0015 | 1690.0 | 113230 | 4.0846 | {'f1': 0.7992656058751529} | {'accuracy': 0.6855225311601151} |
0.0015 | 1691.0 | 113297 | 4.1045 | {'f1': 0.7992633517495396} | {'accuracy': 0.6864813039309684} |
0.0015 | 1692.0 | 113364 | 3.8065 | {'f1': 0.7959570435881237} | {'accuracy': 0.6903163950143816} |
0.0015 | 1693.0 | 113431 | 3.7611 | {'f1': 0.7975077881619936} | {'accuracy': 0.6883988494726749} |
0.0015 | 1694.0 | 113498 | 3.8503 | {'f1': 0.7982565379825654} | {'accuracy': 0.6893576222435283} |
0.0022 | 1695.0 | 113565 | 3.7929 | {'f1': 0.7989918084436043} | {'accuracy': 0.6941514860977949} |
0.0022 | 1696.0 | 113632 | 3.8285 | {'f1': 0.7994971715901948} | {'accuracy': 0.6941514860977949} |
0.0022 | 1697.0 | 113699 | 3.8483 | {'f1': 0.7984934086629002} | {'accuracy': 0.6922339405560882} |
0.0022 | 1698.0 | 113766 | 3.8835 | {'f1': 0.7992471769134253} | {'accuracy': 0.6931927133269415} |
0.0022 | 1699.0 | 113833 | 3.9045 | {'f1': 0.7997489014438168} | {'accuracy': 0.6941514860977949} |
0.0022 | 1700.0 | 113900 | 3.9716 | {'f1': 0.8009828009828011} | {'accuracy': 0.6893576222435283} |
0.0022 | 1701.0 | 113967 | 4.0098 | {'f1': 0.8024767801857585} | {'accuracy': 0.6941514860977949} |
0.0003 | 1702.0 | 114034 | 4.0206 | {'f1': 0.8024767801857585} | {'accuracy': 0.6941514860977949} |
0.0003 | 1703.0 | 114101 | 3.9547 | {'f1': 0.7976878612716763} | {'accuracy': 0.697986577181208} |
0.0003 | 1704.0 | 114168 | 4.1614 | {'f1': 0.8002481389578164} | {'accuracy': 0.6912751677852349} |
0.0003 | 1705.0 | 114235 | 4.1969 | {'f1': 0.799752781211372} | {'accuracy': 0.6893576222435283} |
0.0003 | 1706.0 | 114302 | 4.1978 | {'f1': 0.7922829581993568} | {'accuracy': 0.6903163950143816} |
0.0003 | 1707.0 | 114369 | 4.2246 | {'f1': 0.7979734008866372} | {'accuracy': 0.6941514860977949} |
0.0003 | 1708.0 | 114436 | 4.2597 | {'f1': 0.7984934086629002} | {'accuracy': 0.6922339405560882} |
0.0002 | 1709.0 | 114503 | 4.2687 | {'f1': 0.7984934086629002} | {'accuracy': 0.6922339405560882} |
0.0002 | 1710.0 | 114570 | 4.2752 | {'f1': 0.7984934086629002} | {'accuracy': 0.6922339405560882} |
0.0002 | 1711.0 | 114637 | 4.2816 | {'f1': 0.7984934086629002} | {'accuracy': 0.6922339405560882} |
0.0002 | 1712.0 | 114704 | 4.2883 | {'f1': 0.7984934086629002} | {'accuracy': 0.6922339405560882} |
0.0002 | 1713.0 | 114771 | 4.3177 | {'f1': 0.8} | {'accuracy': 0.6931927133269415} |
0.0002 | 1714.0 | 114838 | 4.3235 | {'f1': 0.8} | {'accuracy': 0.6931927133269415} |
0.0002 | 1715.0 | 114905 | 4.3333 | {'f1': 0.7992495309568481} | {'accuracy': 0.6922339405560882} |
0.0002 | 1716.0 | 114972 | 4.3440 | {'f1': 0.7994987468671679} | {'accuracy': 0.6931927133269415} |
0.0 | 1717.0 | 115039 | 4.3494 | {'f1': 0.7987460815047022} | {'accuracy': 0.6922339405560882} |
0.0 | 1718.0 | 115106 | 4.3557 | {'f1': 0.7982456140350878} | {'accuracy': 0.6912751677852349} |
0.0 | 1719.0 | 115173 | 4.3805 | {'f1': 0.8004987531172071} | {'accuracy': 0.6931927133269415} |
0.0 | 1720.0 | 115240 | 4.4031 | {'f1': 0.800995024875622} | {'accuracy': 0.6931927133269415} |
0.0 | 1721.0 | 115307 | 4.4235 | {'f1': 0.800995024875622} | {'accuracy': 0.6931927133269415} |
0.0 | 1722.0 | 115374 | 4.4337 | {'f1': 0.8007471980074721} | {'accuracy': 0.6931927133269415} |
0.0 | 1723.0 | 115441 | 4.4390 | {'f1': 0.8007471980074721} | {'accuracy': 0.6931927133269415} |
0.0 | 1724.0 | 115508 | 4.4440 | {'f1': 0.8007471980074721} | {'accuracy': 0.6931927133269415} |
0.0 | 1725.0 | 115575 | 4.4488 | {'f1': 0.8007471980074721} | {'accuracy': 0.6931927133269415} |
0.0 | 1726.0 | 115642 | 4.4545 | {'f1': 0.8007471980074721} | {'accuracy': 0.6931927133269415} |
0.0 | 1727.0 | 115709 | 4.4591 | {'f1': 0.8007471980074721} | {'accuracy': 0.6931927133269415} |
0.0 | 1728.0 | 115776 | 4.2258 | {'f1': 0.7953518398967075} | {'accuracy': 0.6960690316395014} |
0.0 | 1729.0 | 115843 | 4.2953 | {'f1': 0.8017732742241925} | {'accuracy': 0.6999041227229147} |
0.0 | 1730.0 | 115910 | 4.3048 | {'f1': 0.8025316455696203} | {'accuracy': 0.700862895493768} |
0.0 | 1731.0 | 115977 | 4.3136 | {'f1': 0.8032890575585073} | {'accuracy': 0.7018216682646213} |
0.0007 | 1732.0 | 116044 | 4.4216 | {'f1': 0.8059332509270706} | {'accuracy': 0.6989453499520614} |
0.0007 | 1733.0 | 116111 | 4.2644 | {'f1': 0.8032078963602715} | {'accuracy': 0.6941514860977949} |
0.0007 | 1734.0 | 116178 | 4.3293 | {'f1': 0.805606337599025} | {'accuracy': 0.6941514860977949} |
0.0007 | 1735.0 | 116245 | 4.3773 | {'f1': 0.812687013764213} | {'accuracy': 0.6999041227229147} |
0.0007 | 1736.0 | 116312 | 4.3512 | {'f1': 0.7995079950799507} | {'accuracy': 0.6874400767018217} |
0.0007 | 1737.0 | 116379 | 4.3705 | {'f1': 0.7997542997542998} | {'accuracy': 0.6874400767018217} |
0.0007 | 1738.0 | 116446 | 4.4199 | {'f1': 0.8022045315370484} | {'accuracy': 0.6903163950143816} |
0.0015 | 1739.0 | 116513 | 4.4825 | {'f1': 0.8034188034188033} | {'accuracy': 0.6912751677852349} |
0.0015 | 1740.0 | 116580 | 4.5273 | {'f1': 0.7969924812030076} | {'accuracy': 0.6893576222435283} |
0.0015 | 1741.0 | 116647 | 4.5368 | {'f1': 0.7969924812030076} | {'accuracy': 0.6893576222435283} |
0.0015 | 1742.0 | 116714 | 4.5421 | {'f1': 0.8120120120120119} | {'accuracy': 0.6999041227229147} |
0.0015 | 1743.0 | 116781 | 4.6621 | {'f1': 0.8} | {'accuracy': 0.6903163950143816} |
0.0015 | 1744.0 | 116848 | 4.6713 | {'f1': 0.8} | {'accuracy': 0.6903163950143816} |
0.0015 | 1745.0 | 116915 | 4.7036 | {'f1': 0.8115246098439376} | {'accuracy': 0.6989453499520614} |
0.0015 | 1746.0 | 116982 | 4.7168 | {'f1': 0.8108108108108109} | {'accuracy': 0.697986577181208} |
0.0007 | 1747.0 | 117049 | 4.7416 | {'f1': 0.8089480048367594} | {'accuracy': 0.6970278044103547} |
0.0007 | 1748.0 | 117116 | 4.8067 | {'f1': 0.7936507936507936} | {'accuracy': 0.6883988494726749} |
0.0007 | 1749.0 | 117183 | 4.8137 | {'f1': 0.7933461292386437} | {'accuracy': 0.6903163950143816} |
0.0007 | 1750.0 | 117250 | 4.8263 | {'f1': 0.7933461292386437} | {'accuracy': 0.6903163950143816} |
0.0007 | 1751.0 | 117317 | 4.8359 | {'f1': 0.7933461292386437} | {'accuracy': 0.6903163950143816} |
0.0007 | 1752.0 | 117384 | 4.8419 | {'f1': 0.7933461292386437} | {'accuracy': 0.6903163950143816} |
0.0007 | 1753.0 | 117451 | 4.8977 | {'f1': 0.7939124920735574} | {'accuracy': 0.6883988494726749} |
0.0 | 1754.0 | 117518 | 4.9035 | {'f1': 0.7939124920735574} | {'accuracy': 0.6883988494726749} |
0.0 | 1755.0 | 117585 | 4.9096 | {'f1': 0.7939124920735574} | {'accuracy': 0.6883988494726749} |
0.0 | 1756.0 | 117652 | 4.9474 | {'f1': 0.8017135862913096} | {'accuracy': 0.6893576222435283} |
0.0 | 1757.0 | 117719 | 4.9459 | {'f1': 0.8053691275167785} | {'accuracy': 0.6941514860977949} |
0.0 | 1758.0 | 117786 | 4.9515 | {'f1': 0.8053691275167785} | {'accuracy': 0.6941514860977949} |
0.0 | 1759.0 | 117853 | 4.9568 | {'f1': 0.8053691275167785} | {'accuracy': 0.6941514860977949} |
0.0 | 1760.0 | 117920 | 4.9625 | {'f1': 0.8053691275167785} | {'accuracy': 0.6941514860977949} |
0.0 | 1761.0 | 117987 | 4.9687 | {'f1': 0.8053691275167785} | {'accuracy': 0.6941514860977949} |
0.0 | 1762.0 | 118054 | 4.9740 | {'f1': 0.8053691275167785} | {'accuracy': 0.6941514860977949} |
0.0 | 1763.0 | 118121 | 4.9803 | {'f1': 0.8046398046398046} | {'accuracy': 0.6931927133269415} |
0.0 | 1764.0 | 118188 | 4.9855 | {'f1': 0.8046398046398046} | {'accuracy': 0.6931927133269415} |
0.0 | 1765.0 | 118255 | 5.0646 | {'f1': 0.8082274652147611} | {'accuracy': 0.6960690316395014} |
0.0 | 1766.0 | 118322 | 5.0969 | {'f1': 0.8051001821493626} | {'accuracy': 0.6922339405560882} |
0.0 | 1767.0 | 118389 | 5.1004 | {'f1': 0.8051001821493626} | {'accuracy': 0.6922339405560882} |
0.0 | 1768.0 | 118456 | 5.1042 | {'f1': 0.8051001821493626} | {'accuracy': 0.6922339405560882} |
0.0 | 1769.0 | 118523 | 5.1078 | {'f1': 0.8051001821493626} | {'accuracy': 0.6922339405560882} |
0.0 | 1770.0 | 118590 | 5.1133 | {'f1': 0.8055893074119077} | {'accuracy': 0.6931927133269415} |
0.0 | 1771.0 | 118657 | 5.1175 | {'f1': 0.8055893074119077} | {'accuracy': 0.6931927133269415} |
0.0 | 1772.0 | 118724 | 5.1214 | {'f1': 0.8055893074119077} | {'accuracy': 0.6931927133269415} |
0.0 | 1773.0 | 118791 | 5.1284 | {'f1': 0.8060790273556231} | {'accuracy': 0.6941514860977949} |
0.0 | 1774.0 | 118858 | 5.1329 | {'f1': 0.8060790273556231} | {'accuracy': 0.6941514860977949} |
0.0 | 1775.0 | 118925 | 3.9687 | {'f1': 0.8021911138161899} | {'accuracy': 0.6883988494726749} |
0.0 | 1776.0 | 118992 | 4.0306 | {'f1': 0.8012158054711246} | {'accuracy': 0.6864813039309684} |
0.0033 | 1777.0 | 119059 | 4.1039 | {'f1': 0.8012158054711246} | {'accuracy': 0.6864813039309684} |
0.0033 | 1778.0 | 119126 | 4.1862 | {'f1': 0.7990226023213196} | {'accuracy': 0.6845637583892618} |
0.0033 | 1779.0 | 119193 | 4.2500 | {'f1': 0.7975535168195719} | {'accuracy': 0.6826462128475551} |
0.0033 | 1780.0 | 119260 | 4.2913 | {'f1': 0.7975535168195719} | {'accuracy': 0.6826462128475551} |
0.0033 | 1781.0 | 119327 | 4.3281 | {'f1': 0.7975535168195719} | {'accuracy': 0.6826462128475551} |
0.0033 | 1782.0 | 119394 | 4.3610 | {'f1': 0.7975535168195719} | {'accuracy': 0.6826462128475551} |
0.0033 | 1783.0 | 119461 | 4.5137 | {'f1': 0.796044499381953} | {'accuracy': 0.6836049856184084} |
0.0002 | 1784.0 | 119528 | 4.2687 | {'f1': 0.802439024390244} | {'accuracy': 0.6893576222435283} |
0.0002 | 1785.0 | 119595 | 4.1930 | {'f1': 0.8058252427184465} | {'accuracy': 0.6931927133269415} |
0.0002 | 1786.0 | 119662 | 4.2328 | {'f1': 0.8051001821493626} | {'accuracy': 0.6922339405560882} |
0.0002 | 1787.0 | 119729 | 4.2925 | {'f1': 0.8034083992696287} | {'accuracy': 0.6903163950143816} |
0.0002 | 1788.0 | 119796 | 4.3251 | {'f1': 0.802679658952497} | {'accuracy': 0.6893576222435283} |
0.0002 | 1789.0 | 119863 | 4.1292 | {'f1': 0.7982289690069577} | {'accuracy': 0.6941514860977949} |
0.0002 | 1790.0 | 119930 | 4.0913 | {'f1': 0.7909967845659164} | {'accuracy': 0.6883988494726749} |
0.0002 | 1791.0 | 119997 | 4.1792 | {'f1': 0.7936102236421724} | {'accuracy': 0.6903163950143816} |
0.0018 | 1792.0 | 120064 | 4.2023 | {'f1': 0.7936102236421724} | {'accuracy': 0.6903163950143816} |
0.0018 | 1793.0 | 120131 | 4.2438 | {'f1': 0.7972027972027972} | {'accuracy': 0.6941514860977949} |
0.0018 | 1794.0 | 120198 | 4.2599 | {'f1': 0.7979669631512071} | {'accuracy': 0.6951102588686481} |
0.0018 | 1795.0 | 120265 | 4.2809 | {'f1': 0.7987301587301586} | {'accuracy': 0.6960690316395014} |
0.0018 | 1796.0 | 120332 | 4.2980 | {'f1': 0.7987301587301586} | {'accuracy': 0.6960690316395014} |
0.0018 | 1797.0 | 120399 | 4.3114 | {'f1': 0.7987301587301586} | {'accuracy': 0.6960690316395014} |
0.0018 | 1798.0 | 120466 | 4.3222 | {'f1': 0.7987301587301586} | {'accuracy': 0.6960690316395014} |
0.0 | 1799.0 | 120533 | 4.3352 | {'f1': 0.799492385786802} | {'accuracy': 0.6970278044103547} |
0.0 | 1800.0 | 120600 | 4.3523 | {'f1': 0.799492385786802} | {'accuracy': 0.6970278044103547} |
0.0 | 1801.0 | 120667 | 4.3652 | {'f1': 0.799492385786802} | {'accuracy': 0.6970278044103547} |
0.0 | 1802.0 | 120734 | 4.3769 | {'f1': 0.799492385786802} | {'accuracy': 0.6970278044103547} |
0.0 | 1803.0 | 120801 | 4.3956 | {'f1': 0.7989854153455929} | {'accuracy': 0.6960690316395014} |
0.0 | 1804.0 | 120868 | 4.4360 | {'f1': 0.7997473152242578} | {'accuracy': 0.6960690316395014} |
0.0 | 1805.0 | 120935 | 4.4495 | {'f1': 0.8029465930018418} | {'accuracy': 0.6922339405560882} |
0.0007 | 1806.0 | 121002 | 4.4636 | {'f1': 0.8029465930018418} | {'accuracy': 0.6922339405560882} |
0.0007 | 1807.0 | 121069 | 4.4814 | {'f1': 0.8022113022113021} | {'accuracy': 0.6912751677852349} |
0.0007 | 1808.0 | 121136 | 4.4970 | {'f1': 0.8019680196801968} | {'accuracy': 0.6912751677852349} |
0.0007 | 1809.0 | 121203 | 4.5065 | {'f1': 0.8012307692307693} | {'accuracy': 0.6903163950143816} |
0.0007 | 1810.0 | 121270 | 4.5155 | {'f1': 0.8012307692307693} | {'accuracy': 0.6903163950143816} |
0.0007 | 1811.0 | 121337 | 4.5517 | {'f1': 0.8007402837754474} | {'accuracy': 0.6903163950143816} |
0.0007 | 1812.0 | 121404 | 4.5595 | {'f1': 0.8007402837754474} | {'accuracy': 0.6903163950143816} |
0.0007 | 1813.0 | 121471 | 4.5664 | {'f1': 0.8007402837754474} | {'accuracy': 0.6903163950143816} |
0.0 | 1814.0 | 121538 | 4.5899 | {'f1': 0.7999999999999999} | {'accuracy': 0.6893576222435283} |
0.0 | 1815.0 | 121605 | 4.6015 | {'f1': 0.8019801980198019} | {'accuracy': 0.6931927133269415} |
0.0 | 1816.0 | 121672 | 4.6841 | {'f1': 0.8055893074119077} | {'accuracy': 0.6931927133269415} |
0.0 | 1817.0 | 121739 | 4.5837 | {'f1': 0.8022113022113021} | {'accuracy': 0.6912751677852349} |
0.0 | 1818.0 | 121806 | 4.3776 | {'f1': 0.8020050125313284} | {'accuracy': 0.6970278044103547} |
0.0 | 1819.0 | 121873 | 4.3865 | {'f1': 0.8020050125313284} | {'accuracy': 0.6970278044103547} |
0.0 | 1820.0 | 121940 | 4.4578 | {'f1': 0.8022457891453525} | {'accuracy': 0.6960690316395014} |
0.001 | 1821.0 | 122007 | 4.4757 | {'f1': 0.8017456359102245} | {'accuracy': 0.6951102588686481} |
0.001 | 1822.0 | 122074 | 4.4815 | {'f1': 0.8017456359102245} | {'accuracy': 0.6951102588686481} |
0.001 | 1823.0 | 122141 | 4.6769 | {'f1': 0.8038858530661809} | {'accuracy': 0.6903163950143816} |
0.001 | 1824.0 | 122208 | 4.7471 | {'f1': 0.8041112454655381} | {'accuracy': 0.6893576222435283} |
0.001 | 1825.0 | 122275 | 4.7527 | {'f1': 0.8045977011494253} | {'accuracy': 0.6903163950143816} |
0.001 | 1826.0 | 122342 | 4.7562 | {'f1': 0.8050847457627118} | {'accuracy': 0.6912751677852349} |
0.001 | 1827.0 | 122409 | 4.7601 | {'f1': 0.806060606060606} | {'accuracy': 0.6931927133269415} |
0.001 | 1828.0 | 122476 | 4.7697 | {'f1': 0.806060606060606} | {'accuracy': 0.6931927133269415} |
0.0 | 1829.0 | 122543 | 4.6794 | {'f1': 0.7989886219974714} | {'accuracy': 0.6951102588686481} |
0.0 | 1830.0 | 122610 | 4.7006 | {'f1': 0.7989918084436043} | {'accuracy': 0.6941514860977949} |
0.0 | 1831.0 | 122677 | 4.7243 | {'f1': 0.7974842767295598} | {'accuracy': 0.6912751677852349} |
0.0 | 1832.0 | 122744 | 4.7349 | {'f1': 0.7979861548143485} | {'accuracy': 0.6922339405560882} |
0.0 | 1833.0 | 122811 | 4.7697 | {'f1': 0.798234552332913} | {'accuracy': 0.6931927133269415} |
0.0 | 1834.0 | 122878 | 4.7869 | {'f1': 0.8021978021978021} | {'accuracy': 0.6893576222435283} |
0.0 | 1835.0 | 122945 | 4.7903 | {'f1': 0.8021978021978021} | {'accuracy': 0.6893576222435283} |
0.0006 | 1836.0 | 123012 | 4.8172 | {'f1': 0.8021978021978021} | {'accuracy': 0.6893576222435283} |
0.0006 | 1837.0 | 123079 | 4.8236 | {'f1': 0.8014660965180209} | {'accuracy': 0.6883988494726749} |
0.0006 | 1838.0 | 123146 | 4.8272 | {'f1': 0.8014660965180209} | {'accuracy': 0.6883988494726749} |
0.0006 | 1839.0 | 123213 | 4.8303 | {'f1': 0.8014660965180209} | {'accuracy': 0.6883988494726749} |
0.0006 | 1840.0 | 123280 | 4.8604 | {'f1': 0.8007334963325183} | {'accuracy': 0.6874400767018217} |
0.0006 | 1841.0 | 123347 | 4.7601 | {'f1': 0.7997512437810945} | {'accuracy': 0.6912751677852349} |
0.0006 | 1842.0 | 123414 | 4.6926 | {'f1': 0.7989821882951653} | {'accuracy': 0.6970278044103547} |
0.0006 | 1843.0 | 123481 | 4.7036 | {'f1': 0.7992376111817027} | {'accuracy': 0.6970278044103547} |
0.0006 | 1844.0 | 123548 | 4.7190 | {'f1': 0.7979734008866372} | {'accuracy': 0.6941514860977949} |
0.0006 | 1845.0 | 123615 | 4.7204 | {'f1': 0.7982289690069577} | {'accuracy': 0.6941514860977949} |
0.0006 | 1846.0 | 123682 | 4.8204 | {'f1': 0.8017031630170317} | {'accuracy': 0.6874400767018217} |
0.0006 | 1847.0 | 123749 | 4.8245 | {'f1': 0.8017031630170317} | {'accuracy': 0.6874400767018217} |
0.0006 | 1848.0 | 123816 | 4.8301 | {'f1': 0.8014616321559075} | {'accuracy': 0.6874400767018217} |
0.0006 | 1849.0 | 123883 | 4.8336 | {'f1': 0.8014616321559075} | {'accuracy': 0.6874400767018217} |
0.0006 | 1850.0 | 123950 | 4.7868 | {'f1': 0.798261949099938} | {'accuracy': 0.6883988494726749} |
0.0006 | 1851.0 | 124017 | 4.7720 | {'f1': 0.7975077881619936} | {'accuracy': 0.6883988494726749} |
0.0006 | 1852.0 | 124084 | 4.7746 | {'f1': 0.7975077881619936} | {'accuracy': 0.6883988494726749} |
0.0006 | 1853.0 | 124151 | 4.7768 | {'f1': 0.7975077881619936} | {'accuracy': 0.6883988494726749} |
0.0006 | 1854.0 | 124218 | 4.6521 | {'f1': 0.7944162436548224} | {'accuracy': 0.6893576222435283} |
0.0006 | 1855.0 | 124285 | 4.5963 | {'f1': 0.7931034482758621} | {'accuracy': 0.6893576222435283} |
0.0006 | 1856.0 | 124352 | 4.5755 | {'f1': 0.8017241379310345} | {'accuracy': 0.6912751677852349} |
0.0006 | 1857.0 | 124419 | 4.5805 | {'f1': 0.8007402837754474} | {'accuracy': 0.6903163950143816} |
0.0006 | 1858.0 | 124486 | 4.5869 | {'f1': 0.8007402837754474} | {'accuracy': 0.6903163950143816} |
0.0018 | 1859.0 | 124553 | 4.5948 | {'f1': 0.8007402837754474} | {'accuracy': 0.6903163950143816} |
0.0018 | 1860.0 | 124620 | 4.5946 | {'f1': 0.8002481389578164} | {'accuracy': 0.6912751677852349} |
0.0018 | 1861.0 | 124687 | 4.5962 | {'f1': 0.7999999999999999} | {'accuracy': 0.6922339405560882} |
0.0018 | 1862.0 | 124754 | 4.6003 | {'f1': 0.7999999999999999} | {'accuracy': 0.6922339405560882} |
0.0018 | 1863.0 | 124821 | 4.6047 | {'f1': 0.7999999999999999} | {'accuracy': 0.6922339405560882} |
0.0018 | 1864.0 | 124888 | 4.6092 | {'f1': 0.7999999999999999} | {'accuracy': 0.6922339405560882} |
0.0018 | 1865.0 | 124955 | 4.6142 | {'f1': 0.7999999999999999} | {'accuracy': 0.6922339405560882} |
0.0001 | 1866.0 | 125022 | 4.6254 | {'f1': 0.7999999999999999} | {'accuracy': 0.6922339405560882} |
0.0001 | 1867.0 | 125089 | 4.6366 | {'f1': 0.7999999999999999} | {'accuracy': 0.6922339405560882} |
0.0001 | 1868.0 | 125156 | 4.6408 | {'f1': 0.7999999999999999} | {'accuracy': 0.6922339405560882} |
0.0001 | 1869.0 | 125223 | 4.6449 | {'f1': 0.7999999999999999} | {'accuracy': 0.6922339405560882} |
0.0001 | 1870.0 | 125290 | 4.6498 | {'f1': 0.7999999999999999} | {'accuracy': 0.6922339405560882} |
0.0001 | 1871.0 | 125357 | 4.6553 | {'f1': 0.7999999999999999} | {'accuracy': 0.6922339405560882} |
0.0001 | 1872.0 | 125424 | 4.6598 | {'f1': 0.7999999999999999} | {'accuracy': 0.6922339405560882} |
0.0001 | 1873.0 | 125491 | 4.6642 | {'f1': 0.7999999999999999} | {'accuracy': 0.6922339405560882} |
0.0 | 1874.0 | 125558 | 4.6686 | {'f1': 0.7999999999999999} | {'accuracy': 0.6922339405560882} |
0.0 | 1875.0 | 125625 | 4.6729 | {'f1': 0.7999999999999999} | {'accuracy': 0.6922339405560882} |
0.0 | 1876.0 | 125692 | 4.6783 | {'f1': 0.7999999999999999} | {'accuracy': 0.6922339405560882} |
0.0 | 1877.0 | 125759 | 4.6849 | {'f1': 0.7999999999999999} | {'accuracy': 0.6922339405560882} |
0.0 | 1878.0 | 125826 | 4.6888 | {'f1': 0.7999999999999999} | {'accuracy': 0.6922339405560882} |
0.0 | 1879.0 | 125893 | 4.6877 | {'f1': 0.7946428571428571} | {'accuracy': 0.6912751677852349} |
0.0 | 1880.0 | 125960 | 4.6872 | {'f1': 0.7946428571428571} | {'accuracy': 0.6912751677852349} |
0.0 | 1881.0 | 126027 | 4.6923 | {'f1': 0.7946428571428571} | {'accuracy': 0.6912751677852349} |
0.0 | 1882.0 | 126094 | 4.6982 | {'f1': 0.7946428571428571} | {'accuracy': 0.6912751677852349} |
0.0 | 1883.0 | 126161 | 4.7022 | {'f1': 0.7946428571428571} | {'accuracy': 0.6912751677852349} |
0.0 | 1884.0 | 126228 | 4.7074 | {'f1': 0.7946428571428571} | {'accuracy': 0.6912751677852349} |
0.0 | 1885.0 | 126295 | 4.7128 | {'f1': 0.7946428571428571} | {'accuracy': 0.6912751677852349} |
0.0 | 1886.0 | 126362 | 4.7175 | {'f1': 0.7946428571428571} | {'accuracy': 0.6912751677852349} |
0.0 | 1887.0 | 126429 | 4.7244 | {'f1': 0.7946428571428571} | {'accuracy': 0.6912751677852349} |
0.0 | 1888.0 | 126496 | 4.7505 | {'f1': 0.7956715467854869} | {'accuracy': 0.6922339405560882} |
0.0 | 1889.0 | 126563 | 4.7559 | {'f1': 0.7956715467854869} | {'accuracy': 0.6922339405560882} |
0.0 | 1890.0 | 126630 | 4.7650 | {'f1': 0.7956715467854869} | {'accuracy': 0.6922339405560882} |
0.0 | 1891.0 | 126697 | 4.7739 | {'f1': 0.7956715467854869} | {'accuracy': 0.6922339405560882} |
0.0 | 1892.0 | 126764 | 4.7773 | {'f1': 0.7956715467854869} | {'accuracy': 0.6922339405560882} |
0.0 | 1893.0 | 126831 | 4.7800 | {'f1': 0.7956715467854869} | {'accuracy': 0.6922339405560882} |
0.0 | 1894.0 | 126898 | 4.7842 | {'f1': 0.7956715467854869} | {'accuracy': 0.6922339405560882} |
0.0 | 1895.0 | 126965 | 4.7866 | {'f1': 0.7956715467854869} | {'accuracy': 0.6922339405560882} |
0.0 | 1896.0 | 127032 | 4.7890 | {'f1': 0.7956715467854869} | {'accuracy': 0.6922339405560882} |
0.0 | 1897.0 | 127099 | 4.8025 | {'f1': 0.7956715467854869} | {'accuracy': 0.6922339405560882} |
0.0 | 1898.0 | 127166 | 4.8056 | {'f1': 0.7956715467854869} | {'accuracy': 0.6922339405560882} |
0.0 | 1899.0 | 127233 | 4.8082 | {'f1': 0.7956715467854869} | {'accuracy': 0.6922339405560882} |
0.0 | 1900.0 | 127300 | 4.8109 | {'f1': 0.7956715467854869} | {'accuracy': 0.6922339405560882} |
0.0 | 1901.0 | 127367 | 4.8284 | {'f1': 0.7972027972027972} | {'accuracy': 0.6941514860977949} |
0.0 | 1902.0 | 127434 | 4.8315 | {'f1': 0.7972027972027972} | {'accuracy': 0.6941514860977949} |
0.0011 | 1903.0 | 127501 | 4.6853 | {'f1': 0.7997520148791073} | {'accuracy': 0.6903163950143816} |
0.0011 | 1904.0 | 127568 | 4.7537 | {'f1': 0.8014796547472257} | {'accuracy': 0.6912751677852349} |
0.0011 | 1905.0 | 127635 | 4.7589 | {'f1': 0.8017241379310345} | {'accuracy': 0.6912751677852349} |
0.0011 | 1906.0 | 127702 | 4.7685 | {'f1': 0.8014796547472257} | {'accuracy': 0.6912751677852349} |
0.0011 | 1907.0 | 127769 | 4.7712 | {'f1': 0.8014796547472257} | {'accuracy': 0.6912751677852349} |
0.0011 | 1908.0 | 127836 | 4.7751 | {'f1': 0.8014796547472257} | {'accuracy': 0.6912751677852349} |
0.0011 | 1909.0 | 127903 | 4.7726 | {'f1': 0.8014796547472257} | {'accuracy': 0.6912751677852349} |
0.0011 | 1910.0 | 127970 | 4.7092 | {'f1': 0.8004987531172071} | {'accuracy': 0.6931927133269415} |
0.0 | 1911.0 | 128037 | 4.7111 | {'f1': 0.8004987531172071} | {'accuracy': 0.6931927133269415} |
0.0 | 1912.0 | 128104 | 4.7130 | {'f1': 0.8004987531172071} | {'accuracy': 0.6931927133269415} |
0.0 | 1913.0 | 128171 | 4.7146 | {'f1': 0.8004987531172071} | {'accuracy': 0.6931927133269415} |
0.0 | 1914.0 | 128238 | 4.7179 | {'f1': 0.8004987531172071} | {'accuracy': 0.6931927133269415} |
0.0 | 1915.0 | 128305 | 4.2913 | {'f1': 0.8017565872020074} | {'accuracy': 0.6970278044103547} |
0.0 | 1916.0 | 128372 | 4.2390 | {'f1': 0.8022598870056498} | {'accuracy': 0.697986577181208} |
0.0 | 1917.0 | 128439 | 4.2404 | {'f1': 0.8027638190954774} | {'accuracy': 0.6989453499520614} |
0.0021 | 1918.0 | 128506 | 4.2473 | {'f1': 0.7989886219974714} | {'accuracy': 0.6951102588686481} |
0.0021 | 1919.0 | 128573 | 4.2483 | {'f1': 0.7946257197696738} | {'accuracy': 0.6922339405560882} |
0.0021 | 1920.0 | 128640 | 4.2498 | {'f1': 0.7946257197696738} | {'accuracy': 0.6922339405560882} |
0.0021 | 1921.0 | 128707 | 4.2520 | {'f1': 0.7946257197696738} | {'accuracy': 0.6922339405560882} |
0.0021 | 1922.0 | 128774 | 4.2534 | {'f1': 0.7946257197696738} | {'accuracy': 0.6922339405560882} |
0.0021 | 1923.0 | 128841 | 4.2570 | {'f1': 0.7953964194373401} | {'accuracy': 0.6931927133269415} |
0.0021 | 1924.0 | 128908 | 4.2587 | {'f1': 0.7953964194373401} | {'accuracy': 0.6931927133269415} |
0.0021 | 1925.0 | 128975 | 4.2603 | {'f1': 0.7948881789137379} | {'accuracy': 0.6922339405560882} |
0.0 | 1926.0 | 129042 | 4.2616 | {'f1': 0.7948881789137379} | {'accuracy': 0.6922339405560882} |
0.0 | 1927.0 | 129109 | 4.2935 | {'f1': 0.8010043942247331} | {'accuracy': 0.6960690316395014} |
0.0 | 1928.0 | 129176 | 4.3010 | {'f1': 0.8010043942247331} | {'accuracy': 0.6960690316395014} |
0.0 | 1929.0 | 129243 | 4.3028 | {'f1': 0.8010043942247331} | {'accuracy': 0.6960690316395014} |
0.0 | 1930.0 | 129310 | 4.3041 | {'f1': 0.8010043942247331} | {'accuracy': 0.6960690316395014} |
0.0 | 1931.0 | 129377 | 4.3057 | {'f1': 0.8010043942247331} | {'accuracy': 0.6960690316395014} |
0.0 | 1932.0 | 129444 | 4.3070 | {'f1': 0.8010043942247331} | {'accuracy': 0.6960690316395014} |
0.0 | 1933.0 | 129511 | 4.3084 | {'f1': 0.8010043942247331} | {'accuracy': 0.6960690316395014} |
0.0 | 1934.0 | 129578 | 4.3506 | {'f1': 0.8014888337468983} | {'accuracy': 0.6931927133269415} |
0.0 | 1935.0 | 129645 | 4.3537 | {'f1': 0.8022318660880349} | {'accuracy': 0.6941514860977949} |
0.0 | 1936.0 | 129712 | 4.3551 | {'f1': 0.8022318660880349} | {'accuracy': 0.6941514860977949} |
0.0 | 1937.0 | 129779 | 4.3653 | {'f1': 0.802721088435374} | {'accuracy': 0.6941514860977949} |
0.0 | 1938.0 | 129846 | 4.3667 | {'f1': 0.802721088435374} | {'accuracy': 0.6941514860977949} |
0.0 | 1939.0 | 129913 | 4.3682 | {'f1': 0.802721088435374} | {'accuracy': 0.6941514860977949} |
0.0 | 1940.0 | 129980 | 4.3697 | {'f1': 0.802721088435374} | {'accuracy': 0.6941514860977949} |
0.0001 | 1941.0 | 130047 | 4.3712 | {'f1': 0.802721088435374} | {'accuracy': 0.6941514860977949} |
0.0001 | 1942.0 | 130114 | 4.3729 | {'f1': 0.802721088435374} | {'accuracy': 0.6941514860977949} |
0.0001 | 1943.0 | 130181 | 4.3744 | {'f1': 0.802721088435374} | {'accuracy': 0.6941514860977949} |
0.0001 | 1944.0 | 130248 | 4.3757 | {'f1': 0.802721088435374} | {'accuracy': 0.6941514860977949} |
0.0001 | 1945.0 | 130315 | 4.3771 | {'f1': 0.802721088435374} | {'accuracy': 0.6941514860977949} |
0.0001 | 1946.0 | 130382 | 4.3786 | {'f1': 0.802721088435374} | {'accuracy': 0.6941514860977949} |
0.0001 | 1947.0 | 130449 | 4.3801 | {'f1': 0.802721088435374} | {'accuracy': 0.6941514860977949} |
0.0 | 1948.0 | 130516 | 4.3816 | {'f1': 0.802721088435374} | {'accuracy': 0.6941514860977949} |
0.0 | 1949.0 | 130583 | 4.3831 | {'f1': 0.802721088435374} | {'accuracy': 0.6941514860977949} |
0.0 | 1950.0 | 130650 | 4.3859 | {'f1': 0.8012383900928793} | {'accuracy': 0.6922339405560882} |
0.0 | 1951.0 | 130717 | 4.3872 | {'f1': 0.8012383900928793} | {'accuracy': 0.6922339405560882} |
0.0 | 1952.0 | 130784 | 4.3942 | {'f1': 0.8044417026526834} | {'accuracy': 0.6960690316395014} |
0.0 | 1953.0 | 130851 | 4.4247 | {'f1': 0.8065893837705919} | {'accuracy': 0.6960690316395014} |
0.0 | 1954.0 | 130918 | 4.4262 | {'f1': 0.8065893837705919} | {'accuracy': 0.6960690316395014} |
0.0 | 1955.0 | 130985 | 4.4287 | {'f1': 0.8051313378130727} | {'accuracy': 0.6941514860977949} |
0.0 | 1956.0 | 131052 | 4.4302 | {'f1': 0.8056234718826406} | {'accuracy': 0.6951102588686481} |
0.0 | 1957.0 | 131119 | 4.4316 | {'f1': 0.8056234718826406} | {'accuracy': 0.6951102588686481} |
0.0 | 1958.0 | 131186 | 4.4339 | {'f1': 0.8056234718826406} | {'accuracy': 0.6951102588686481} |
0.0 | 1959.0 | 131253 | 4.4352 | {'f1': 0.8056234718826406} | {'accuracy': 0.6951102588686481} |
0.0 | 1960.0 | 131320 | 4.4367 | {'f1': 0.8056234718826406} | {'accuracy': 0.6951102588686481} |
0.0 | 1961.0 | 131387 | 4.4382 | {'f1': 0.8056234718826406} | {'accuracy': 0.6951102588686481} |
0.0 | 1962.0 | 131454 | 4.4398 | {'f1': 0.8056234718826406} | {'accuracy': 0.6951102588686481} |
0.0 | 1963.0 | 131521 | 4.4283 | {'f1': 0.8034504004929144} | {'accuracy': 0.6941514860977949} |
0.0 | 1964.0 | 131588 | 4.3914 | {'f1': 0.8029739776951673} | {'accuracy': 0.6951102588686481} |
0.0 | 1965.0 | 131655 | 4.3890 | {'f1': 0.8029739776951673} | {'accuracy': 0.6951102588686481} |
0.0 | 1966.0 | 131722 | 4.3900 | {'f1': 0.8029739776951673} | {'accuracy': 0.6951102588686481} |
0.0 | 1967.0 | 131789 | 4.3909 | {'f1': 0.8029739776951673} | {'accuracy': 0.6951102588686481} |
0.0 | 1968.0 | 131856 | 4.3922 | {'f1': 0.8029739776951673} | {'accuracy': 0.6951102588686481} |
0.0 | 1969.0 | 131923 | 4.3933 | {'f1': 0.8029739776951673} | {'accuracy': 0.6951102588686481} |
0.0 | 1970.0 | 131990 | 4.3942 | {'f1': 0.8029739776951673} | {'accuracy': 0.6951102588686481} |
0.0003 | 1971.0 | 132057 | 4.3952 | {'f1': 0.8029739776951673} | {'accuracy': 0.6951102588686481} |
0.0003 | 1972.0 | 132124 | 4.3966 | {'f1': 0.8029739776951673} | {'accuracy': 0.6951102588686481} |
0.0003 | 1973.0 | 132191 | 4.3978 | {'f1': 0.8029739776951673} | {'accuracy': 0.6951102588686481} |
0.0003 | 1974.0 | 132258 | 4.3988 | {'f1': 0.8029739776951673} | {'accuracy': 0.6951102588686481} |
0.0003 | 1975.0 | 132325 | 4.3998 | {'f1': 0.8022318660880349} | {'accuracy': 0.6941514860977949} |
0.0003 | 1976.0 | 132392 | 4.4105 | {'f1': 0.8029739776951673} | {'accuracy': 0.6951102588686481} |
0.0003 | 1977.0 | 132459 | 4.4185 | {'f1': 0.8029739776951673} | {'accuracy': 0.6951102588686481} |
0.0 | 1978.0 | 132526 | 4.4202 | {'f1': 0.8029739776951673} | {'accuracy': 0.6951102588686481} |
0.0 | 1979.0 | 132593 | 4.4210 | {'f1': 0.8029739776951673} | {'accuracy': 0.6951102588686481} |
0.0 | 1980.0 | 132660 | 4.4217 | {'f1': 0.8029739776951673} | {'accuracy': 0.6951102588686481} |
0.0 | 1981.0 | 132727 | 4.4224 | {'f1': 0.8029739776951673} | {'accuracy': 0.6951102588686481} |
0.0 | 1982.0 | 132794 | 4.4028 | {'f1': 0.8034825870646766} | {'accuracy': 0.6970278044103547} |
0.0 | 1983.0 | 132861 | 4.4034 | {'f1': 0.8034825870646766} | {'accuracy': 0.6970278044103547} |
0.0 | 1984.0 | 132928 | 4.4041 | {'f1': 0.8034825870646766} | {'accuracy': 0.6970278044103547} |
0.0 | 1985.0 | 132995 | 4.4046 | {'f1': 0.8034825870646766} | {'accuracy': 0.6970278044103547} |
0.0003 | 1986.0 | 133062 | 4.3821 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
0.0003 | 1987.0 | 133129 | 4.3550 | {'f1': 0.8049844236760124} | {'accuracy': 0.6999041227229147} |
0.0003 | 1988.0 | 133196 | 4.3580 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
0.0003 | 1989.0 | 133263 | 4.3584 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
0.0003 | 1990.0 | 133330 | 4.3589 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
0.0003 | 1991.0 | 133397 | 4.3592 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
0.0003 | 1992.0 | 133464 | 4.3594 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
0.0015 | 1993.0 | 133531 | 4.3597 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
0.0015 | 1994.0 | 133598 | 4.3599 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
0.0015 | 1995.0 | 133665 | 4.3601 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
0.0015 | 1996.0 | 133732 | 4.3603 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
0.0015 | 1997.0 | 133799 | 4.3604 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
0.0015 | 1998.0 | 133866 | 4.3605 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
0.0015 | 1999.0 | 133933 | 4.3588 | {'f1': 0.8042394014962594} | {'accuracy': 0.6989453499520614} |
0.0 | 2000.0 | 134000 | 4.3588 | {'f1': 0.8042394014962594} | {'accuracy': 0.6989453499520614} |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3