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bert-base-uncased-test_16_6414
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: 2.8822
- F1: {'f1': 0.8419047619047619}
- Accuracy: {'accuracy': 0.7612655800575263}
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 | 401 | 0.4622 | {'f1': 0.8679245283018867} | {'accuracy': 0.8053691275167785} |
0.5261 | 2.0 | 802 | 0.6716 | {'f1': 0.8583638583638584} | {'accuracy': 0.7775647171620326} |
0.4169 | 3.0 | 1203 | 0.4545 | {'f1': 0.867704280155642} | {'accuracy': 0.8044103547459253} |
0.3381 | 4.0 | 1604 | 0.6054 | {'f1': 0.8622448979591838} | {'accuracy': 0.7929050814956855} |
0.2779 | 5.0 | 2005 | 0.5791 | {'f1': 0.8750800768737989} | {'accuracy': 0.8130393096836049} |
0.2779 | 6.0 | 2406 | 0.5359 | {'f1': 0.8666224286662243} | {'accuracy': 0.8072866730584851} |
0.2441 | 7.0 | 2807 | 0.5783 | {'f1': 0.8735332464146025} | {'accuracy': 0.8139980824544583} |
0.2351 | 8.0 | 3208 | 0.6860 | {'f1': 0.8714938030006523} | {'accuracy': 0.8111217641418984} |
0.2116 | 9.0 | 3609 | 0.9049 | {'f1': 0.8699029126213591} | {'accuracy': 0.8072866730584851} |
0.2129 | 10.0 | 4010 | 0.5766 | {'f1': 0.8738379814077026} | {'accuracy': 0.8178331735378715} |
0.2129 | 11.0 | 4411 | 0.6212 | {'f1': 0.8671611598111936} | {'accuracy': 0.8111217641418984} |
0.1962 | 12.0 | 4812 | 0.7943 | {'f1': 0.8671611598111936} | {'accuracy': 0.8111217641418984} |
0.1835 | 13.0 | 5213 | 0.8482 | {'f1': 0.8654738237243207} | {'accuracy': 0.8053691275167785} |
0.1835 | 14.0 | 5614 | 0.7664 | {'f1': 0.8681541582150102} | {'accuracy': 0.8130393096836049} |
0.1894 | 15.0 | 6015 | 0.7840 | {'f1': 0.8658294778585592} | {'accuracy': 0.8053691275167785} |
0.1894 | 16.0 | 6416 | 0.8821 | {'f1': 0.8687782805429866} | {'accuracy': 0.8053691275167785} |
0.1727 | 17.0 | 6817 | 0.8588 | {'f1': 0.8632707774798927} | {'accuracy': 0.8044103547459253} |
0.1775 | 18.0 | 7218 | 0.8268 | {'f1': 0.8617780661907853} | {'accuracy': 0.7957813998082455} |
0.1937 | 19.0 | 7619 | 0.7014 | {'f1': 0.8602150537634408} | {'accuracy': 0.788111217641419} |
0.1958 | 20.0 | 8020 | 0.7585 | {'f1': 0.8725817211474317} | {'accuracy': 0.8168744007670182} |
0.1958 | 21.0 | 8421 | 0.6327 | {'f1': 0.8702594810379242} | {'accuracy': 0.8130393096836049} |
0.172 | 22.0 | 8822 | 0.8079 | {'f1': 0.8548707753479126} | {'accuracy': 0.7900287631831256} |
0.2006 | 23.0 | 9223 | 0.7497 | {'f1': 0.8645763842561709} | {'accuracy': 0.8053691275167785} |
0.1773 | 24.0 | 9624 | 0.7609 | {'f1': 0.8571428571428571} | {'accuracy': 0.7986577181208053} |
0.1883 | 25.0 | 10025 | 1.0834 | {'f1': 0.8593648736228128} | {'accuracy': 0.7919463087248322} |
0.1883 | 26.0 | 10426 | 0.8705 | {'f1': 0.8605108055009822} | {'accuracy': 0.7957813998082455} |
0.1686 | 27.0 | 10827 | 0.8955 | {'f1': 0.8634361233480176} | {'accuracy': 0.7919463087248322} |
0.1995 | 28.0 | 11228 | 0.8582 | {'f1': 0.8551099611901681} | {'accuracy': 0.785234899328859} |
0.181 | 29.0 | 11629 | 1.1259 | {'f1': 0.8628181253879579} | {'accuracy': 0.788111217641419} |
0.1932 | 30.0 | 12030 | 0.6984 | {'f1': 0.854557207498384} | {'accuracy': 0.7842761265580057} |
0.1932 | 31.0 | 12431 | 0.7305 | {'f1': 0.853720050441362} | {'accuracy': 0.7775647171620326} |
0.1804 | 32.0 | 12832 | 0.9029 | {'f1': 0.8625904010519396} | {'accuracy': 0.7996164908916586} |
0.1857 | 33.0 | 13233 | 0.6825 | {'f1': 0.8607095926412615} | {'accuracy': 0.7967401725790988} |
0.1876 | 34.0 | 13634 | 1.1422 | {'f1': 0.8458093410108765} | {'accuracy': 0.7689357622243528} |
0.1993 | 35.0 | 14035 | 1.0844 | {'f1': 0.8604353393085787} | {'accuracy': 0.7909875359539789} |
0.1993 | 36.0 | 14436 | 1.0598 | {'f1': 0.8594628357276703} | {'accuracy': 0.7842761265580057} |
0.1824 | 37.0 | 14837 | 1.1073 | {'f1': 0.8542199488491049} | {'accuracy': 0.7813998082454459} |
0.2035 | 38.0 | 15238 | 0.7600 | {'f1': 0.847682119205298} | {'accuracy': 0.7794822627037392} |
0.2207 | 39.0 | 15639 | 1.0546 | {'f1': 0.8526448362720404} | {'accuracy': 0.775647171620326} |
0.194 | 40.0 | 16040 | 0.7376 | {'f1': 0.8556566970091029} | {'accuracy': 0.7871524448705657} |
0.194 | 41.0 | 16441 | 0.7798 | {'f1': 0.8506616257088847} | {'accuracy': 0.7727708533077661} |
0.2084 | 42.0 | 16842 | 1.0507 | {'f1': 0.8624766645924082} | {'accuracy': 0.788111217641419} |
0.199 | 43.0 | 17243 | 0.8728 | {'f1': 0.8580562659846547} | {'accuracy': 0.7871524448705657} |
0.2206 | 44.0 | 17644 | 0.8449 | {'f1': 0.8459459459459461} | {'accuracy': 0.7813998082454459} |
0.2132 | 45.0 | 18045 | 1.3335 | {'f1': 0.8542713567839196} | {'accuracy': 0.7775647171620326} |
0.2132 | 46.0 | 18446 | 0.9174 | {'f1': 0.851948051948052} | {'accuracy': 0.7813998082454459} |
0.204 | 47.0 | 18847 | 1.0006 | {'f1': 0.860759493670886} | {'accuracy': 0.7890699904122723} |
0.1993 | 48.0 | 19248 | 0.7934 | {'f1': 0.8537859007832899} | {'accuracy': 0.785234899328859} |
0.2143 | 49.0 | 19649 | 0.7783 | {'f1': 0.8593448940269749} | {'accuracy': 0.7900287631831256} |
0.2064 | 50.0 | 20050 | 0.8042 | {'f1': 0.8664921465968587} | {'accuracy': 0.8044103547459253} |
0.2064 | 51.0 | 20451 | 0.7491 | {'f1': 0.8571428571428572} | {'accuracy': 0.7957813998082455} |
0.1977 | 52.0 | 20852 | 1.0062 | {'f1': 0.8575233022636485} | {'accuracy': 0.7948226270373921} |
0.2037 | 53.0 | 21253 | 0.8462 | {'f1': 0.8582474226804124} | {'accuracy': 0.7890699904122723} |
0.2071 | 54.0 | 21654 | 0.8331 | {'f1': 0.8509277031349968} | {'accuracy': 0.7766059443911792} |
0.219 | 55.0 | 22055 | 0.8352 | {'f1': 0.8665377176015473} | {'accuracy': 0.8015340364333653} |
0.219 | 56.0 | 22456 | 0.9794 | {'f1': 0.86125} | {'accuracy': 0.7871524448705657} |
0.2125 | 57.0 | 22857 | 0.7315 | {'f1': 0.8484848484848484} | {'accuracy': 0.7842761265580057} |
0.2224 | 58.0 | 23258 | 0.7517 | {'f1': 0.867515923566879} | {'accuracy': 0.800575263662512} |
0.2075 | 59.0 | 23659 | 1.2492 | {'f1': 0.8500000000000001} | {'accuracy': 0.7698945349952061} |
0.2287 | 60.0 | 24060 | 1.1285 | {'f1': 0.8625712476250793} | {'accuracy': 0.7919463087248322} |
0.2287 | 61.0 | 24461 | 0.7967 | {'f1': 0.8399246704331449} | {'accuracy': 0.7555129434324065} |
0.2504 | 62.0 | 24862 | 1.0076 | {'f1': 0.8527724665391969} | {'accuracy': 0.7785234899328859} |
0.2346 | 63.0 | 25263 | 0.9732 | {'f1': 0.8556767158434896} | {'accuracy': 0.7842761265580057} |
0.222 | 64.0 | 25664 | 0.7520 | {'f1': 0.8497683653209795} | {'accuracy': 0.7823585810162992} |
0.2529 | 65.0 | 26065 | 1.2199 | {'f1': 0.8456632653061223} | {'accuracy': 0.7679769894534996} |
0.2529 | 66.0 | 26466 | 1.1044 | {'f1': 0.8518057285180574} | {'accuracy': 0.7718120805369127} |
0.26 | 67.0 | 26867 | 0.7342 | {'f1': 0.8541666666666667} | {'accuracy': 0.785234899328859} |
0.2466 | 68.0 | 27268 | 0.9639 | {'f1': 0.8505747126436781} | {'accuracy': 0.775647171620326} |
0.24 | 69.0 | 27669 | 0.7428 | {'f1': 0.8540471637985979} | {'accuracy': 0.7804410354745925} |
0.2603 | 70.0 | 28070 | 0.9065 | {'f1': 0.8604060913705585} | {'accuracy': 0.7890699904122723} |
0.2603 | 71.0 | 28471 | 0.8574 | {'f1': 0.8504245591116917} | {'accuracy': 0.7804410354745925} |
0.2474 | 72.0 | 28872 | 1.2110 | {'f1': 0.8435374149659863} | {'accuracy': 0.7574304889741131} |
0.2254 | 73.0 | 29273 | 0.9312 | {'f1': 0.8541666666666667} | {'accuracy': 0.785234899328859} |
0.2258 | 74.0 | 29674 | 0.9632 | {'f1': 0.851948051948052} | {'accuracy': 0.7813998082454459} |
0.2348 | 75.0 | 30075 | 0.6455 | {'f1': 0.8479087452471483} | {'accuracy': 0.7698945349952061} |
0.2348 | 76.0 | 30476 | 0.9974 | {'f1': 0.8511716276124128} | {'accuracy': 0.7746883988494727} |
0.253 | 77.0 | 30877 | 0.8229 | {'f1': 0.8527724665391969} | {'accuracy': 0.7785234899328859} |
0.243 | 78.0 | 31278 | 0.9802 | {'f1': 0.8573289902280131} | {'accuracy': 0.7900287631831256} |
0.2332 | 79.0 | 31679 | 1.0583 | {'f1': 0.8533333333333334} | {'accuracy': 0.7785234899328859} |
0.2211 | 80.0 | 32080 | 1.1156 | {'f1': 0.8593350383631713} | {'accuracy': 0.7890699904122723} |
0.2211 | 81.0 | 32481 | 0.9829 | {'f1': 0.8490797546012271} | {'accuracy': 0.7641418983700863} |
0.2471 | 82.0 | 32882 | 0.8408 | {'f1': 0.8552544613350958} | {'accuracy': 0.7900287631831256} |
0.254 | 83.0 | 33283 | 1.0823 | {'f1': 0.8546144121365361} | {'accuracy': 0.7794822627037392} |
0.2498 | 84.0 | 33684 | 0.8740 | {'f1': 0.845016077170418} | {'accuracy': 0.7689357622243528} |
0.2323 | 85.0 | 34085 | 0.8546 | {'f1': 0.8515625} | {'accuracy': 0.7813998082454459} |
0.2323 | 86.0 | 34486 | 0.7212 | {'f1': 0.8515625} | {'accuracy': 0.7813998082454459} |
0.2548 | 87.0 | 34887 | 0.9051 | {'f1': 0.8495114006514658} | {'accuracy': 0.7785234899328859} |
0.2156 | 88.0 | 35288 | 0.9236 | {'f1': 0.8573240329740014} | {'accuracy': 0.7842761265580057} |
0.222 | 89.0 | 35689 | 0.9488 | {'f1': 0.8476070528967254} | {'accuracy': 0.7679769894534996} |
0.2183 | 90.0 | 36090 | 0.8323 | {'f1': 0.8571428571428572} | {'accuracy': 0.7890699904122723} |
0.2183 | 91.0 | 36491 | 1.1698 | {'f1': 0.8528111181301328} | {'accuracy': 0.7766059443911792} |
0.2205 | 92.0 | 36892 | 1.1913 | {'f1': 0.8537704918032787} | {'accuracy': 0.7861936720997124} |
0.2118 | 93.0 | 37293 | 0.8978 | {'f1': 0.8582474226804124} | {'accuracy': 0.7890699904122723} |
0.2244 | 94.0 | 37694 | 1.0964 | {'f1': 0.858085808580858} | {'accuracy': 0.7938638542665388} |
0.2218 | 95.0 | 38095 | 1.1327 | {'f1': 0.8526249209361164} | {'accuracy': 0.7766059443911792} |
0.2218 | 96.0 | 38496 | 0.9631 | {'f1': 0.8591916558018253} | {'accuracy': 0.7929050814956855} |
0.2136 | 97.0 | 38897 | 0.6943 | {'f1': 0.8549121665582303} | {'accuracy': 0.7861936720997124} |
0.2239 | 98.0 | 39298 | 0.9435 | {'f1': 0.8569612205975843} | {'accuracy': 0.7842761265580057} |
0.2284 | 99.0 | 39699 | 0.8765 | {'f1': 0.8536741214057507} | {'accuracy': 0.7804410354745925} |
0.218 | 100.0 | 40100 | 0.8308 | {'f1': 0.8500635324015249} | {'accuracy': 0.7737296260786194} |
0.2207 | 101.0 | 40501 | 0.9594 | {'f1': 0.8487928843710293} | {'accuracy': 0.7718120805369127} |
0.2207 | 102.0 | 40902 | 1.1232 | {'f1': 0.8540609137055837} | {'accuracy': 0.7794822627037392} |
0.2076 | 103.0 | 41303 | 0.8938 | {'f1': 0.8584126984126984} | {'accuracy': 0.7861936720997124} |
0.2227 | 104.0 | 41704 | 0.8467 | {'f1': 0.8517799352750809} | {'accuracy': 0.7804410354745925} |
0.2224 | 105.0 | 42105 | 0.9232 | {'f1': 0.85625} | {'accuracy': 0.7794822627037392} |
0.231 | 106.0 | 42506 | 1.0057 | {'f1': 0.8508430609597926} | {'accuracy': 0.7794822627037392} |
0.231 | 107.0 | 42907 | 1.0549 | {'f1': 0.8530331457160726} | {'accuracy': 0.7746883988494727} |
0.2105 | 108.0 | 43308 | 0.9325 | {'f1': 0.8384565075212557} | {'accuracy': 0.763183125599233} |
0.2057 | 109.0 | 43709 | 0.8719 | {'f1': 0.8524804177545692} | {'accuracy': 0.7833173537871524} |
0.2112 | 110.0 | 44110 | 0.7338 | {'f1': 0.8599629858112278} | {'accuracy': 0.7823585810162992} |
0.2135 | 111.0 | 44511 | 1.0116 | {'f1': 0.8461043142305216} | {'accuracy': 0.7708533077660594} |
0.2135 | 112.0 | 44912 | 1.1867 | {'f1': 0.8512820512820513} | {'accuracy': 0.7775647171620326} |
0.2138 | 113.0 | 45313 | 1.0152 | {'f1': 0.8443076923076923} | {'accuracy': 0.7574304889741131} |
0.224 | 114.0 | 45714 | 1.1405 | {'f1': 0.8582183186951067} | {'accuracy': 0.7833173537871524} |
0.2233 | 115.0 | 46115 | 0.9341 | {'f1': 0.8435643564356435} | {'accuracy': 0.7727708533077661} |
0.2293 | 116.0 | 46516 | 0.8792 | {'f1': 0.8416043507817811} | {'accuracy': 0.7766059443911792} |
0.2293 | 117.0 | 46917 | 0.8610 | {'f1': 0.8524590163934426} | {'accuracy': 0.7842761265580057} |
0.224 | 118.0 | 47318 | 0.8714 | {'f1': 0.8558616271620756} | {'accuracy': 0.7842761265580057} |
0.2272 | 119.0 | 47719 | 1.1527 | {'f1': 0.8505889646621204} | {'accuracy': 0.7689357622243528} |
0.2314 | 120.0 | 48120 | 1.0835 | {'f1': 0.8464996788696211} | {'accuracy': 0.7708533077660594} |
0.2338 | 121.0 | 48521 | 0.9367 | {'f1': 0.8555276381909548} | {'accuracy': 0.7794822627037392} |
0.2338 | 122.0 | 48922 | 1.1894 | {'f1': 0.8514605344934743} | {'accuracy': 0.7708533077660594} |
0.2393 | 123.0 | 49323 | 0.8476 | {'f1': 0.846641318124208} | {'accuracy': 0.7679769894534996} |
0.2407 | 124.0 | 49724 | 0.8062 | {'f1': 0.8580362726704189} | {'accuracy': 0.7823585810162992} |
0.2326 | 125.0 | 50125 | 1.1019 | {'f1': 0.8500948766603417} | {'accuracy': 0.7727708533077661} |
0.2246 | 126.0 | 50526 | 0.9574 | {'f1': 0.8392857142857142} | {'accuracy': 0.7583892617449665} |
0.2246 | 127.0 | 50927 | 1.1958 | {'f1': 0.8376623376623377} | {'accuracy': 0.7603068072866731} |
0.2242 | 128.0 | 51328 | 1.0979 | {'f1': 0.861323155216285} | {'accuracy': 0.7909875359539789} |
0.2241 | 129.0 | 51729 | 0.9278 | {'f1': 0.843308675184936} | {'accuracy': 0.7766059443911792} |
0.2273 | 130.0 | 52130 | 0.7695 | {'f1': 0.8393220338983051} | {'accuracy': 0.7727708533077661} |
0.252 | 131.0 | 52531 | 0.8065 | {'f1': 0.8439763001974985} | {'accuracy': 0.7727708533077661} |
0.252 | 132.0 | 52932 | 0.8740 | {'f1': 0.856036152356359} | {'accuracy': 0.7861936720997124} |
0.2495 | 133.0 | 53333 | 0.8970 | {'f1': 0.8464566929133859} | {'accuracy': 0.775647171620326} |
0.2293 | 134.0 | 53734 | 0.8769 | {'f1': 0.8389993585631816} | {'accuracy': 0.7593480345158198} |
0.2417 | 135.0 | 54135 | 1.1989 | {'f1': 0.8433583959899749} | {'accuracy': 0.7603068072866731} |
0.2469 | 136.0 | 54536 | 0.8690 | {'f1': 0.8526048284625158} | {'accuracy': 0.7775647171620326} |
0.2469 | 137.0 | 54937 | 0.7737 | {'f1': 0.8617157490396927} | {'accuracy': 0.7929050814956855} |
0.2476 | 138.0 | 55338 | 1.2153 | {'f1': 0.8573224387177876} | {'accuracy': 0.7823585810162992} |
0.241 | 139.0 | 55739 | 0.9695 | {'f1': 0.8405985686402083} | {'accuracy': 0.7651006711409396} |
0.2545 | 140.0 | 56140 | 0.8597 | {'f1': 0.8496732026143791} | {'accuracy': 0.7794822627037392} |
0.2486 | 141.0 | 56541 | 0.6954 | {'f1': 0.8421052631578948} | {'accuracy': 0.7670182166826462} |
0.2486 | 142.0 | 56942 | 0.9841 | {'f1': 0.8334413480233311} | {'accuracy': 0.7535953978907} |
0.2684 | 143.0 | 57343 | 0.9315 | {'f1': 0.8392973324658425} | {'accuracy': 0.763183125599233} |
0.2441 | 144.0 | 57744 | 0.8837 | {'f1': 0.8367071524966261} | {'accuracy': 0.7679769894534996} |
0.2703 | 145.0 | 58145 | 1.2015 | {'f1': 0.8350964530180461} | {'accuracy': 0.7459252157238735} |
0.2724 | 146.0 | 58546 | 0.8231 | {'f1': 0.8308681672025723} | {'accuracy': 0.74784276126558} |
0.2724 | 147.0 | 58947 | 0.9058 | {'f1': 0.8387096774193549} | {'accuracy': 0.7651006711409396} |
0.2731 | 148.0 | 59348 | 0.9337 | {'f1': 0.8399738732854344} | {'accuracy': 0.7651006711409396} |
0.2642 | 149.0 | 59749 | 0.8101 | {'f1': 0.8459099556119215} | {'accuracy': 0.7670182166826462} |
0.253 | 150.0 | 60150 | 0.9742 | {'f1': 0.8531289910600256} | {'accuracy': 0.7794822627037392} |
0.2622 | 151.0 | 60551 | 0.8488 | {'f1': 0.8401337792642141} | {'accuracy': 0.7708533077660594} |
0.2622 | 152.0 | 60952 | 0.9315 | {'f1': 0.8388324873096447} | {'accuracy': 0.7564717162032598} |
0.2693 | 153.0 | 61353 | 1.1424 | {'f1': 0.8496568933250156} | {'accuracy': 0.7689357622243528} |
0.2534 | 154.0 | 61754 | 0.8121 | {'f1': 0.8368522072936659} | {'accuracy': 0.7555129434324065} |
0.2631 | 155.0 | 62155 | 0.9177 | {'f1': 0.8525226390685641} | {'accuracy': 0.7813998082454459} |
0.2426 | 156.0 | 62556 | 0.7225 | {'f1': 0.8294314381270903} | {'accuracy': 0.7555129434324065} |
0.2426 | 157.0 | 62957 | 0.8243 | {'f1': 0.8371467025572005} | {'accuracy': 0.7679769894534996} |
0.2612 | 158.0 | 63358 | 0.8831 | {'f1': 0.8461051298290057} | {'accuracy': 0.7670182166826462} |
0.3068 | 159.0 | 63759 | 0.8223 | {'f1': 0.8467895740623013} | {'accuracy': 0.7689357622243528} |
0.2927 | 160.0 | 64160 | 0.9283 | {'f1': 0.8423676012461059} | {'accuracy': 0.7574304889741131} |
0.3048 | 161.0 | 64561 | 0.7040 | {'f1': 0.8467432950191572} | {'accuracy': 0.7698945349952061} |
0.3048 | 162.0 | 64962 | 0.7779 | {'f1': 0.8475000000000001} | {'accuracy': 0.7660594439117929} |
0.3325 | 163.0 | 65363 | 0.7545 | {'f1': 0.842443729903537} | {'accuracy': 0.7651006711409396} |
0.2965 | 164.0 | 65764 | 0.8682 | {'f1': 0.8403669724770643} | {'accuracy': 0.7497603068072867} |
0.2816 | 165.0 | 66165 | 0.7588 | {'f1': 0.8444730077120822} | {'accuracy': 0.7679769894534996} |
0.2714 | 166.0 | 66566 | 0.8986 | {'f1': 0.8435286542176433} | {'accuracy': 0.7670182166826462} |
0.2714 | 167.0 | 66967 | 1.0528 | {'f1': 0.8489954633830202} | {'accuracy': 0.7766059443911792} |
0.2734 | 168.0 | 67368 | 0.6952 | {'f1': 0.847145488029466} | {'accuracy': 0.7612655800575263} |
0.2675 | 169.0 | 67769 | 0.7618 | {'f1': 0.840446487196323} | {'accuracy': 0.7670182166826462} |
0.2624 | 170.0 | 68170 | 0.8019 | {'f1': 0.8111498257839721} | {'accuracy': 0.7401725790987536} |
0.2584 | 171.0 | 68571 | 0.7608 | {'f1': 0.8491182233834096} | {'accuracy': 0.7785234899328859} |
0.2584 | 172.0 | 68972 | 0.8383 | {'f1': 0.842170929507174} | {'accuracy': 0.7574304889741131} |
0.247 | 173.0 | 69373 | 1.0304 | {'f1': 0.8349875930521091} | {'accuracy': 0.7449664429530202} |
0.2526 | 174.0 | 69774 | 0.8387 | {'f1': 0.8345047923322685} | {'accuracy': 0.7516778523489933} |
0.2594 | 175.0 | 70175 | 0.9768 | {'f1': 0.8459099556119215} | {'accuracy': 0.7670182166826462} |
0.2577 | 176.0 | 70576 | 0.8975 | {'f1': 0.8460063897763579} | {'accuracy': 0.7689357622243528} |
0.2577 | 177.0 | 70977 | 1.3535 | {'f1': 0.8468137254901961} | {'accuracy': 0.7603068072866731} |
0.2608 | 178.0 | 71378 | 0.7394 | {'f1': 0.8421741977734118} | {'accuracy': 0.7689357622243528} |
0.2601 | 179.0 | 71779 | 0.7100 | {'f1': 0.8496143958868896} | {'accuracy': 0.775647171620326} |
0.2412 | 180.0 | 72180 | 0.8524 | {'f1': 0.849455477258168} | {'accuracy': 0.7746883988494727} |
0.2419 | 181.0 | 72581 | 0.8062 | {'f1': 0.8442466624284806} | {'accuracy': 0.7651006711409396} |
0.2419 | 182.0 | 72982 | 0.8182 | {'f1': 0.84107259646828} | {'accuracy': 0.7670182166826462} |
0.244 | 183.0 | 73383 | 0.9105 | {'f1': 0.8449131513647642} | {'accuracy': 0.7603068072866731} |
0.2406 | 184.0 | 73784 | 0.7759 | {'f1': 0.8493506493506494} | {'accuracy': 0.7775647171620326} |
0.2444 | 185.0 | 74185 | 0.8565 | {'f1': 0.851851851851852} | {'accuracy': 0.785234899328859} |
0.2502 | 186.0 | 74586 | 1.1047 | {'f1': 0.8413524057217165} | {'accuracy': 0.7660594439117929} |
0.2502 | 187.0 | 74987 | 0.8517 | {'f1': 0.8537048765041165} | {'accuracy': 0.7785234899328859} |
0.241 | 188.0 | 75388 | 0.9265 | {'f1': 0.8398384925975775} | {'accuracy': 0.7718120805369127} |
0.2404 | 189.0 | 75789 | 0.9368 | {'f1': 0.8371501272264632} | {'accuracy': 0.7545541706615532} |
0.2312 | 190.0 | 76190 | 1.0300 | {'f1': 0.8369152970922884} | {'accuracy': 0.7526366251198466} |
0.2576 | 191.0 | 76591 | 0.9079 | {'f1': 0.8512020792722548} | {'accuracy': 0.7804410354745925} |
0.2576 | 192.0 | 76992 | 0.7314 | {'f1': 0.8293625241468126} | {'accuracy': 0.7459252157238735} |
0.2548 | 193.0 | 77393 | 0.7204 | {'f1': 0.8445006321112516} | {'accuracy': 0.7641418983700863} |
0.2624 | 194.0 | 77794 | 0.7678 | {'f1': 0.8419672131147541} | {'accuracy': 0.7689357622243528} |
0.2659 | 195.0 | 78195 | 0.7470 | {'f1': 0.8321964529331515} | {'accuracy': 0.7641418983700863} |
0.2788 | 196.0 | 78596 | 0.7394 | {'f1': 0.833116036505867} | {'accuracy': 0.7545541706615532} |
0.2788 | 197.0 | 78997 | 0.7013 | {'f1': 0.8402734617775015} | {'accuracy': 0.7535953978907} |
0.3023 | 198.0 | 79398 | 1.0282 | {'f1': 0.8312020460358057} | {'accuracy': 0.7468839884947267} |
0.2688 | 199.0 | 79799 | 0.8870 | {'f1': 0.8389993585631816} | {'accuracy': 0.7593480345158198} |
0.2694 | 200.0 | 80200 | 0.6708 | {'f1': 0.8389175257731959} | {'accuracy': 0.7603068072866731} |
0.2574 | 201.0 | 80601 | 1.0941 | {'f1': 0.8393077873918418} | {'accuracy': 0.75071907957814} |
0.2627 | 202.0 | 81002 | 1.0750 | {'f1': 0.8441717791411043} | {'accuracy': 0.7564717162032598} |
0.2627 | 203.0 | 81403 | 1.0689 | {'f1': 0.831758034026465} | {'accuracy': 0.7440076701821668} |
0.2412 | 204.0 | 81804 | 0.8979 | {'f1': 0.8392156862745098} | {'accuracy': 0.7641418983700863} |
0.2464 | 205.0 | 82205 | 0.9785 | {'f1': 0.8467336683417086} | {'accuracy': 0.7660594439117929} |
0.2597 | 206.0 | 82606 | 0.8800 | {'f1': 0.8396166134185302} | {'accuracy': 0.7593480345158198} |
0.2701 | 207.0 | 83007 | 0.8640 | {'f1': 0.8251001335113486} | {'accuracy': 0.7488015340364333} |
0.2701 | 208.0 | 83408 | 0.7954 | {'f1': 0.8254180602006689} | {'accuracy': 0.7497603068072867} |
0.254 | 209.0 | 83809 | 1.1185 | {'f1': 0.8298397040690506} | {'accuracy': 0.7353787152444871} |
0.2464 | 210.0 | 84210 | 0.8531 | {'f1': 0.8393846153846154} | {'accuracy': 0.7497603068072867} |
0.2811 | 211.0 | 84611 | 1.0518 | {'f1': 0.8452454940957116} | {'accuracy': 0.7612655800575263} |
0.2514 | 212.0 | 85012 | 1.1130 | {'f1': 0.8340584213797391} | {'accuracy': 0.7440076701821668} |
0.2514 | 213.0 | 85413 | 0.8402 | {'f1': 0.8343949044585988} | {'accuracy': 0.75071907957814} |
0.2498 | 214.0 | 85814 | 1.0275 | {'f1': 0.8463444857496902} | {'accuracy': 0.7622243528283796} |
0.2758 | 215.0 | 86215 | 0.8038 | {'f1': 0.8451776649746193} | {'accuracy': 0.7660594439117929} |
0.2578 | 216.0 | 86616 | 0.8187 | {'f1': 0.8377544725478101} | {'accuracy': 0.74784276126558} |
0.2761 | 217.0 | 87017 | 0.8593 | {'f1': 0.845141065830721} | {'accuracy': 0.763183125599233} |
0.2761 | 218.0 | 87418 | 0.9440 | {'f1': 0.8472306755934268} | {'accuracy': 0.7593480345158198} |
0.2785 | 219.0 | 87819 | 0.9716 | {'f1': 0.8504034761018001} | {'accuracy': 0.7689357622243528} |
0.3378 | 220.0 | 88220 | 0.6511 | {'f1': 0.8293010752688171} | {'accuracy': 0.7564717162032598} |
0.2826 | 221.0 | 88621 | 0.9528 | {'f1': 0.842170929507174} | {'accuracy': 0.7574304889741131} |
0.275 | 222.0 | 89022 | 1.2531 | {'f1': 0.8377219840783834} | {'accuracy': 0.7459252157238735} |
0.275 | 223.0 | 89423 | 0.6287 | {'f1': 0.8302631578947368} | {'accuracy': 0.7526366251198466} |
0.2788 | 224.0 | 89824 | 1.0870 | {'f1': 0.837092731829574} | {'accuracy': 0.75071907957814} |
0.2673 | 225.0 | 90225 | 0.8192 | {'f1': 0.8374193548387098} | {'accuracy': 0.7583892617449665} |
0.2886 | 226.0 | 90626 | 0.7370 | {'f1': 0.839425587467363} | {'accuracy': 0.7641418983700863} |
0.2658 | 227.0 | 91027 | 0.7898 | {'f1': 0.8066581306017925} | {'accuracy': 0.710450623202301} |
0.2658 | 228.0 | 91428 | 0.8841 | {'f1': 0.8449266113592852} | {'accuracy': 0.7670182166826462} |
0.2724 | 229.0 | 91829 | 0.9590 | {'f1': 0.8110289172831203} | {'accuracy': 0.7305848513902206} |
0.2877 | 230.0 | 92230 | 0.8778 | {'f1': 0.8371187540558079} | {'accuracy': 0.7593480345158198} |
0.2797 | 231.0 | 92631 | 0.9298 | {'f1': 0.8345959595959596} | {'accuracy': 0.7488015340364333} |
0.27 | 232.0 | 93032 | 1.0359 | {'f1': 0.8330134357005758} | {'accuracy': 0.7497603068072867} |
0.27 | 233.0 | 93433 | 0.9096 | {'f1': 0.8311195445920303} | {'accuracy': 0.7440076701821668} |
0.2514 | 234.0 | 93834 | 0.8881 | {'f1': 0.8148648648648648} | {'accuracy': 0.7372962607861937} |
0.2464 | 235.0 | 94235 | 0.8304 | {'f1': 0.8345047923322685} | {'accuracy': 0.7516778523489933} |
0.2608 | 236.0 | 94636 | 0.9228 | {'f1': 0.8363866077068857} | {'accuracy': 0.7516778523489933} |
0.2469 | 237.0 | 95037 | 0.9945 | {'f1': 0.8368146214099217} | {'accuracy': 0.7603068072866731} |
0.2469 | 238.0 | 95438 | 0.9208 | {'f1': 0.8232931726907631} | {'accuracy': 0.7468839884947267} |
0.258 | 239.0 | 95839 | 1.0260 | {'f1': 0.832618025751073} | {'accuracy': 0.738255033557047} |
0.2324 | 240.0 | 96240 | 0.9553 | {'f1': 0.8457772337821298} | {'accuracy': 0.7583892617449665} |
0.2348 | 241.0 | 96641 | 0.9753 | {'f1': 0.8419737663960025} | {'accuracy': 0.7574304889741131} |
0.2497 | 242.0 | 97042 | 1.0690 | {'f1': 0.8434466019417476} | {'accuracy': 0.7526366251198466} |
0.2497 | 243.0 | 97443 | 0.9550 | {'f1': 0.8337662337662339} | {'accuracy': 0.7545541706615532} |
0.2227 | 244.0 | 97844 | 1.0226 | {'f1': 0.8515228426395941} | {'accuracy': 0.775647171620326} |
0.2344 | 245.0 | 98245 | 0.9309 | {'f1': 0.8406735751295337} | {'accuracy': 0.7641418983700863} |
0.2312 | 246.0 | 98646 | 0.8419 | {'f1': 0.8423076923076922} | {'accuracy': 0.7641418983700863} |
0.2404 | 247.0 | 99047 | 1.1175 | {'f1': 0.8329145728643216} | {'accuracy': 0.7449664429530202} |
0.2404 | 248.0 | 99448 | 1.1481 | {'f1': 0.8327953518398966} | {'accuracy': 0.7516778523489933} |
0.2479 | 249.0 | 99849 | 1.2474 | {'f1': 0.8459139114160948} | {'accuracy': 0.763183125599233} |
0.2303 | 250.0 | 100250 | 1.0059 | {'f1': 0.835705045278137} | {'accuracy': 0.7564717162032598} |
0.2392 | 251.0 | 100651 | 1.3045 | {'f1': 0.8360128617363345} | {'accuracy': 0.7555129434324065} |
0.2246 | 252.0 | 101052 | 0.8578 | {'f1': 0.8485981308411216} | {'accuracy': 0.7670182166826462} |
0.2246 | 253.0 | 101453 | 0.9903 | {'f1': 0.8208556149732621} | {'accuracy': 0.7430488974113135} |
0.2387 | 254.0 | 101854 | 0.9149 | {'f1': 0.8418367346938777} | {'accuracy': 0.7622243528283796} |
0.2354 | 255.0 | 102255 | 0.9433 | {'f1': 0.8424396442185516} | {'accuracy': 0.7622243528283796} |
0.2512 | 256.0 | 102656 | 1.1076 | {'f1': 0.8420373952288847} | {'accuracy': 0.7651006711409396} |
0.2497 | 257.0 | 103057 | 0.9372 | {'f1': 0.8376175548589342} | {'accuracy': 0.7516778523489933} |
0.2497 | 258.0 | 103458 | 0.9338 | {'f1': 0.8350923482849605} | {'accuracy': 0.7603068072866731} |
0.2555 | 259.0 | 103859 | 1.1021 | {'f1': 0.8398268398268398} | {'accuracy': 0.7516778523489933} |
0.2341 | 260.0 | 104260 | 1.0147 | {'f1': 0.8373570520965693} | {'accuracy': 0.7545541706615532} |
0.2441 | 261.0 | 104661 | 0.9195 | {'f1': 0.8244680851063829} | {'accuracy': 0.7468839884947267} |
0.2358 | 262.0 | 105062 | 0.9904 | {'f1': 0.8396284829721363} | {'accuracy': 0.7516778523489933} |
0.2358 | 263.0 | 105463 | 1.0565 | {'f1': 0.8389937106918239} | {'accuracy': 0.7545541706615532} |
0.2401 | 264.0 | 105864 | 1.0503 | {'f1': 0.8363636363636364} | {'accuracy': 0.7497603068072867} |
0.2439 | 265.0 | 106265 | 1.2779 | {'f1': 0.8363417569193742} | {'accuracy': 0.7392138063279002} |
0.2504 | 266.0 | 106666 | 0.9715 | {'f1': 0.8399487836107554} | {'accuracy': 0.7603068072866731} |
0.2687 | 267.0 | 107067 | 1.0750 | {'f1': 0.8330109606705353} | {'accuracy': 0.7516778523489933} |
0.2687 | 268.0 | 107468 | 0.9981 | {'f1': 0.8444165621079048} | {'accuracy': 0.7622243528283796} |
0.2218 | 269.0 | 107869 | 0.9821 | {'f1': 0.8318356867779204} | {'accuracy': 0.7488015340364333} |
0.2215 | 270.0 | 108270 | 0.9113 | {'f1': 0.8360655737704918} | {'accuracy': 0.75071907957814} |
0.2275 | 271.0 | 108671 | 1.2055 | {'f1': 0.8302122347066168} | {'accuracy': 0.7392138063279002} |
0.2442 | 272.0 | 109072 | 1.2157 | {'f1': 0.8380716934487022} | {'accuracy': 0.7488015340364333} |
0.2442 | 273.0 | 109473 | 1.0310 | {'f1': 0.8321633694958519} | {'accuracy': 0.74784276126558} |
0.2375 | 274.0 | 109874 | 0.9068 | {'f1': 0.842964824120603} | {'accuracy': 0.7603068072866731} |
0.2474 | 275.0 | 110275 | 0.7434 | {'f1': 0.838709677419355} | {'accuracy': 0.7603068072866731} |
0.2445 | 276.0 | 110676 | 0.9356 | {'f1': 0.8242894056847546} | {'accuracy': 0.7392138063279002} |
0.2401 | 277.0 | 111077 | 1.3207 | {'f1': 0.8337595907928389} | {'accuracy': 0.75071907957814} |
0.2401 | 278.0 | 111478 | 1.0330 | {'f1': 0.8378033205619413} | {'accuracy': 0.7564717162032598} |
0.2342 | 279.0 | 111879 | 1.3449 | {'f1': 0.835538752362949} | {'accuracy': 0.7497603068072867} |
0.2257 | 280.0 | 112280 | 1.0314 | {'f1': 0.8315182575272262} | {'accuracy': 0.74784276126558} |
0.2313 | 281.0 | 112681 | 0.9193 | {'f1': 0.8391959798994975} | {'accuracy': 0.7545541706615532} |
0.254 | 282.0 | 113082 | 1.1292 | {'f1': 0.8357457520453115} | {'accuracy': 0.7497603068072867} |
0.254 | 283.0 | 113483 | 0.7148 | {'f1': 0.8354430379746837} | {'accuracy': 0.75071907957814} |
0.2537 | 284.0 | 113884 | 0.9808 | {'f1': 0.8301647655259823} | {'accuracy': 0.7430488974113135} |
0.2428 | 285.0 | 114285 | 1.0571 | {'f1': 0.8220617202889035} | {'accuracy': 0.7401725790987536} |
0.2411 | 286.0 | 114686 | 0.8902 | {'f1': 0.8305519897304235} | {'accuracy': 0.7468839884947267} |
0.2523 | 287.0 | 115087 | 1.1189 | {'f1': 0.8409232688708672} | {'accuracy': 0.7555129434324065} |
0.2523 | 288.0 | 115488 | 1.2165 | {'f1': 0.8418461538461539} | {'accuracy': 0.7535953978907} |
0.2357 | 289.0 | 115889 | 0.7972 | {'f1': 0.8271363339856491} | {'accuracy': 0.7459252157238735} |
0.2294 | 290.0 | 116290 | 0.9963 | {'f1': 0.827992151733159} | {'accuracy': 0.74784276126558} |
0.2339 | 291.0 | 116691 | 1.0150 | {'f1': 0.8330182734719597} | {'accuracy': 0.7459252157238735} |
0.2316 | 292.0 | 117092 | 0.9740 | {'f1': 0.823529411764706} | {'accuracy': 0.7468839884947267} |
0.2316 | 293.0 | 117493 | 1.0322 | {'f1': 0.8364576599870717} | {'accuracy': 0.7574304889741131} |
0.2186 | 294.0 | 117894 | 0.9056 | {'f1': 0.8275426405559065} | {'accuracy': 0.738255033557047} |
0.2274 | 295.0 | 118295 | 0.8818 | {'f1': 0.8313021167415009} | {'accuracy': 0.74784276126558} |
0.2345 | 296.0 | 118696 | 0.8546 | {'f1': 0.8343004513217279} | {'accuracy': 0.7535953978907} |
0.2227 | 297.0 | 119097 | 1.1910 | {'f1': 0.8336448598130841} | {'accuracy': 0.7440076701821668} |
0.2227 | 298.0 | 119498 | 0.9483 | {'f1': 0.8156498673740052} | {'accuracy': 0.7334611697027804} |
0.2254 | 299.0 | 119899 | 0.9499 | {'f1': 0.8184818481848184} | {'accuracy': 0.7363374880153404} |
0.2141 | 300.0 | 120300 | 1.1834 | {'f1': 0.8259212198221093} | {'accuracy': 0.7372962607861937} |
0.2313 | 301.0 | 120701 | 0.9448 | {'f1': 0.8298429319371727} | {'accuracy': 0.75071907957814} |
0.2225 | 302.0 | 121102 | 1.1666 | {'f1': 0.8348567946374162} | {'accuracy': 0.7401725790987536} |
0.2237 | 303.0 | 121503 | 1.1141 | {'f1': 0.8283485045513654} | {'accuracy': 0.7468839884947267} |
0.2237 | 304.0 | 121904 | 1.1684 | {'f1': 0.8266494178525227} | {'accuracy': 0.7430488974113135} |
0.2319 | 305.0 | 122305 | 1.1197 | {'f1': 0.8365444375388441} | {'accuracy': 0.74784276126558} |
0.2433 | 306.0 | 122706 | 1.0639 | {'f1': 0.8236057068741893} | {'accuracy': 0.7392138063279002} |
0.2333 | 307.0 | 123107 | 1.3037 | {'f1': 0.8397515527950311} | {'accuracy': 0.7526366251198466} |
0.2224 | 308.0 | 123508 | 0.9334 | {'f1': 0.82687338501292} | {'accuracy': 0.7430488974113135} |
0.2224 | 309.0 | 123909 | 0.9312 | {'f1': 0.8376175548589342} | {'accuracy': 0.7516778523489933} |
0.2267 | 310.0 | 124310 | 0.9007 | {'f1': 0.7927677329624477} | {'accuracy': 0.7142857142857143} |
0.2365 | 311.0 | 124711 | 1.2573 | {'f1': 0.8195876288659794} | {'accuracy': 0.7315436241610739} |
0.2316 | 312.0 | 125112 | 1.1209 | {'f1': 0.8307888040712469} | {'accuracy': 0.7449664429530202} |
0.2179 | 313.0 | 125513 | 0.9868 | {'f1': 0.8294573643410853} | {'accuracy': 0.7468839884947267} |
0.2179 | 314.0 | 125914 | 1.0275 | {'f1': 0.8238308776425368} | {'accuracy': 0.7363374880153404} |
0.2099 | 315.0 | 126315 | 1.0713 | {'f1': 0.8279365079365079} | {'accuracy': 0.7401725790987536} |
0.207 | 316.0 | 126716 | 1.1297 | {'f1': 0.8121292023731048} | {'accuracy': 0.7267497603068073} |
0.2092 | 317.0 | 127117 | 0.9408 | {'f1': 0.835} | {'accuracy': 0.7468839884947267} |
0.2151 | 318.0 | 127518 | 1.0883 | {'f1': 0.8301132578281146} | {'accuracy': 0.7555129434324065} |
0.2151 | 319.0 | 127919 | 0.9970 | {'f1': 0.8235294117647058} | {'accuracy': 0.7411313518696069} |
0.2026 | 320.0 | 128320 | 0.8693 | {'f1': 0.8369704749679076} | {'accuracy': 0.7564717162032598} |
0.2044 | 321.0 | 128721 | 1.0232 | {'f1': 0.8358778625954199} | {'accuracy': 0.7526366251198466} |
0.2075 | 322.0 | 129122 | 0.8083 | {'f1': 0.8386243386243386} | {'accuracy': 0.7660594439117929} |
0.2136 | 323.0 | 129523 | 1.1406 | {'f1': 0.8349146110056926} | {'accuracy': 0.7497603068072867} |
0.2136 | 324.0 | 129924 | 1.2443 | {'f1': 0.8303797468354431} | {'accuracy': 0.7430488974113135} |
0.1961 | 325.0 | 130325 | 1.2221 | {'f1': 0.8407079646017699} | {'accuracy': 0.7583892617449665} |
0.2052 | 326.0 | 130726 | 1.0717 | {'f1': 0.8259740259740261} | {'accuracy': 0.7430488974113135} |
0.2017 | 327.0 | 131127 | 0.9398 | {'f1': 0.8214765100671142} | {'accuracy': 0.7449664429530202} |
0.2036 | 328.0 | 131528 | 1.3544 | {'f1': 0.8248222365869425} | {'accuracy': 0.7401725790987536} |
0.2036 | 329.0 | 131929 | 1.1249 | {'f1': 0.8271363339856491} | {'accuracy': 0.7459252157238735} |
0.2252 | 330.0 | 132330 | 1.3486 | {'f1': 0.8298807281858129} | {'accuracy': 0.7401725790987536} |
0.2093 | 331.0 | 132731 | 1.4552 | {'f1': 0.8211382113821138} | {'accuracy': 0.7468839884947267} |
0.2083 | 332.0 | 133132 | 1.0837 | {'f1': 0.8284409654272668} | {'accuracy': 0.74784276126558} |
0.1992 | 333.0 | 133533 | 0.9452 | {'f1': 0.8397997496871088} | {'accuracy': 0.7545541706615532} |
0.1992 | 334.0 | 133934 | 1.1837 | {'f1': 0.8085963734049697} | {'accuracy': 0.7267497603068073} |
0.2169 | 335.0 | 134335 | 1.2463 | {'f1': 0.8295739348370926} | {'accuracy': 0.7392138063279002} |
0.1966 | 336.0 | 134736 | 1.0243 | {'f1': 0.835705045278137} | {'accuracy': 0.7564717162032598} |
0.2071 | 337.0 | 135137 | 1.2048 | {'f1': 0.8298429319371727} | {'accuracy': 0.75071907957814} |
0.2042 | 338.0 | 135538 | 1.2703 | {'f1': 0.8311855670103093} | {'accuracy': 0.7488015340364333} |
0.2042 | 339.0 | 135939 | 1.1096 | {'f1': 0.8341836734693877} | {'accuracy': 0.75071907957814} |
0.2059 | 340.0 | 136340 | 1.0543 | {'f1': 0.833117723156533} | {'accuracy': 0.7526366251198466} |
0.2034 | 341.0 | 136741 | 1.1578 | {'f1': 0.8375959079283888} | {'accuracy': 0.7564717162032598} |
0.2025 | 342.0 | 137142 | 1.0056 | {'f1': 0.8135593220338982} | {'accuracy': 0.725790987535954} |
0.2003 | 343.0 | 137543 | 1.3358 | {'f1': 0.8265971316818774} | {'accuracy': 0.7449664429530202} |
0.2003 | 344.0 | 137944 | 1.2170 | {'f1': 0.8268229166666667} | {'accuracy': 0.7449664429530202} |
0.1811 | 345.0 | 138345 | 1.3290 | {'f1': 0.8368253968253969} | {'accuracy': 0.7535953978907} |
0.191 | 346.0 | 138746 | 1.2520 | {'f1': 0.829329962073325} | {'accuracy': 0.7411313518696069} |
0.1783 | 347.0 | 139147 | 1.2309 | {'f1': 0.8251295336787564} | {'accuracy': 0.7411313518696069} |
0.1945 | 348.0 | 139548 | 1.0044 | {'f1': 0.8232984293193718} | {'accuracy': 0.7411313518696069} |
0.1945 | 349.0 | 139949 | 1.1220 | {'f1': 0.83322601416613} | {'accuracy': 0.7516778523489933} |
0.1985 | 350.0 | 140350 | 1.0662 | {'f1': 0.8415841584158416} | {'accuracy': 0.7545541706615532} |
0.1885 | 351.0 | 140751 | 1.1191 | {'f1': 0.8292367399741268} | {'accuracy': 0.7468839884947267} |
0.1727 | 352.0 | 141152 | 1.2839 | {'f1': 0.8282828282828283} | {'accuracy': 0.7392138063279002} |
0.201 | 353.0 | 141553 | 1.1559 | {'f1': 0.8340694006309148} | {'accuracy': 0.74784276126558} |
0.201 | 354.0 | 141954 | 1.1170 | {'f1': 0.8152610441767068} | {'accuracy': 0.7353787152444871} |
0.1783 | 355.0 | 142355 | 1.1743 | {'f1': 0.8351231838281743} | {'accuracy': 0.7497603068072867} |
0.1693 | 356.0 | 142756 | 1.2632 | {'f1': 0.8366834170854272} | {'accuracy': 0.75071907957814} |
0.1711 | 357.0 | 143157 | 1.2431 | {'f1': 0.8336520076481836} | {'accuracy': 0.7497603068072867} |
0.1856 | 358.0 | 143558 | 1.3269 | {'f1': 0.843297671491504} | {'accuracy': 0.7612655800575263} |
0.1856 | 359.0 | 143959 | 0.9130 | {'f1': 0.8364576599870717} | {'accuracy': 0.7574304889741131} |
0.1935 | 360.0 | 144360 | 0.9534 | {'f1': 0.8312863606981254} | {'accuracy': 0.7497603068072867} |
0.1906 | 361.0 | 144761 | 1.2703 | {'f1': 0.8309239472030169} | {'accuracy': 0.7420901246404602} |
0.1961 | 362.0 | 145162 | 1.2400 | {'f1': 0.8308681672025723} | {'accuracy': 0.74784276126558} |
0.2044 | 363.0 | 145563 | 1.1197 | {'f1': 0.8339670468948036} | {'accuracy': 0.7488015340364333} |
0.2044 | 364.0 | 145964 | 1.3656 | {'f1': 0.8251928020565554} | {'accuracy': 0.7392138063279002} |
0.1756 | 365.0 | 146365 | 1.3752 | {'f1': 0.8331210191082803} | {'accuracy': 0.7488015340364333} |
0.1886 | 366.0 | 146766 | 1.4663 | {'f1': 0.8328115216030058} | {'accuracy': 0.7440076701821668} |
0.1946 | 367.0 | 147167 | 1.1576 | {'f1': 0.8366093366093366} | {'accuracy': 0.7449664429530202} |
0.2011 | 368.0 | 147568 | 1.1472 | {'f1': 0.8335419274092616} | {'accuracy': 0.7449664429530202} |
0.2011 | 369.0 | 147969 | 1.2084 | {'f1': 0.8226120857699806} | {'accuracy': 0.738255033557047} |
0.1833 | 370.0 | 148370 | 1.1038 | {'f1': 0.829854522454143} | {'accuracy': 0.7420901246404602} |
0.218 | 371.0 | 148771 | 1.2592 | {'f1': 0.8212005108556832} | {'accuracy': 0.7315436241610739} |
0.1981 | 372.0 | 149172 | 1.3553 | {'f1': 0.8197343453510437} | {'accuracy': 0.7267497603068073} |
0.1969 | 373.0 | 149573 | 1.1615 | {'f1': 0.835538752362949} | {'accuracy': 0.7497603068072867} |
0.1969 | 374.0 | 149974 | 1.0217 | {'f1': 0.8296199213630406} | {'accuracy': 0.75071907957814} |
0.1807 | 375.0 | 150375 | 1.1867 | {'f1': 0.8180610889774237} | {'accuracy': 0.7372962607861937} |
0.1835 | 376.0 | 150776 | 1.1629 | {'f1': 0.8165910563836681} | {'accuracy': 0.7286673058485139} |
0.1896 | 377.0 | 151177 | 0.9018 | {'f1': 0.8215444516547697} | {'accuracy': 0.7363374880153404} |
0.1884 | 378.0 | 151578 | 1.0185 | {'f1': 0.8315041962556489} | {'accuracy': 0.7497603068072867} |
0.1884 | 379.0 | 151979 | 1.2284 | {'f1': 0.8370370370370371} | {'accuracy': 0.7468839884947267} |
0.1919 | 380.0 | 152380 | 1.1363 | {'f1': 0.8344283837056505} | {'accuracy': 0.7583892617449665} |
0.1805 | 381.0 | 152781 | 1.2666 | {'f1': 0.8297455968688846} | {'accuracy': 0.7497603068072867} |
0.19 | 382.0 | 153182 | 1.2733 | {'f1': 0.8194805194805195} | {'accuracy': 0.7334611697027804} |
0.1835 | 383.0 | 153583 | 1.1949 | {'f1': 0.8329297820823245} | {'accuracy': 0.7353787152444871} |
0.1835 | 384.0 | 153984 | 1.2358 | {'f1': 0.8266494178525227} | {'accuracy': 0.7430488974113135} |
0.196 | 385.0 | 154385 | 1.2785 | {'f1': 0.8270676691729323} | {'accuracy': 0.7353787152444871} |
0.1751 | 386.0 | 154786 | 1.2285 | {'f1': 0.8298807281858129} | {'accuracy': 0.7401725790987536} |
0.1852 | 387.0 | 155187 | 1.3074 | {'f1': 0.823529411764706} | {'accuracy': 0.7353787152444871} |
0.1737 | 388.0 | 155588 | 1.2941 | {'f1': 0.8375314861460957} | {'accuracy': 0.7526366251198466} |
0.1737 | 389.0 | 155989 | 1.4487 | {'f1': 0.8275862068965517} | {'accuracy': 0.7363374880153404} |
0.1706 | 390.0 | 156390 | 1.5272 | {'f1': 0.8241335044929398} | {'accuracy': 0.7372962607861937} |
0.1642 | 391.0 | 156791 | 1.0372 | {'f1': 0.8261142498430635} | {'accuracy': 0.7344199424736337} |
0.189 | 392.0 | 157192 | 1.4099 | {'f1': 0.824583866837388} | {'accuracy': 0.7372962607861937} |
0.1741 | 393.0 | 157593 | 1.0995 | {'f1': 0.8329145728643216} | {'accuracy': 0.7449664429530202} |
0.1741 | 394.0 | 157994 | 1.5801 | {'f1': 0.8210659898477158} | {'accuracy': 0.7296260786193672} |
0.178 | 395.0 | 158395 | 1.0480 | {'f1': 0.8203124999999999} | {'accuracy': 0.7353787152444871} |
0.1876 | 396.0 | 158796 | 1.3443 | {'f1': 0.8333333333333333} | {'accuracy': 0.75071907957814} |
0.1753 | 397.0 | 159197 | 1.0740 | {'f1': 0.8180628272251308} | {'accuracy': 0.7334611697027804} |
0.1989 | 398.0 | 159598 | 1.2337 | {'f1': 0.8177661659046374} | {'accuracy': 0.7325023969319271} |
0.1989 | 399.0 | 159999 | 1.3333 | {'f1': 0.821882951653944} | {'accuracy': 0.7315436241610739} |
0.1849 | 400.0 | 160400 | 1.2865 | {'f1': 0.826284970722186} | {'accuracy': 0.7440076701821668} |
0.1915 | 401.0 | 160801 | 1.5147 | {'f1': 0.8257575757575757} | {'accuracy': 0.7353787152444871} |
0.1867 | 402.0 | 161202 | 1.3562 | {'f1': 0.8216145833333334} | {'accuracy': 0.7372962607861937} |
0.1879 | 403.0 | 161603 | 1.3696 | {'f1': 0.832274459974587} | {'accuracy': 0.7468839884947267} |
0.1876 | 404.0 | 162004 | 1.0819 | {'f1': 0.8287841191066997} | {'accuracy': 0.7353787152444871} |
0.1876 | 405.0 | 162405 | 1.1889 | {'f1': 0.8153034300791557} | {'accuracy': 0.7315436241610739} |
0.1828 | 406.0 | 162806 | 1.4822 | {'f1': 0.8288060644346177} | {'accuracy': 0.7401725790987536} |
0.1771 | 407.0 | 163207 | 1.2696 | {'f1': 0.8149117069980378} | {'accuracy': 0.7286673058485139} |
0.1892 | 408.0 | 163608 | 1.3728 | {'f1': 0.8314606741573034} | {'accuracy': 0.7411313518696069} |
0.1924 | 409.0 | 164009 | 1.4891 | {'f1': 0.8267170762444864} | {'accuracy': 0.7363374880153404} |
0.1924 | 410.0 | 164410 | 1.3497 | {'f1': 0.8254364089775562} | {'accuracy': 0.7315436241610739} |
0.2059 | 411.0 | 164811 | 1.3869 | {'f1': 0.8239033693579149} | {'accuracy': 0.7344199424736337} |
0.173 | 412.0 | 165212 | 1.1285 | {'f1': 0.8334373050530256} | {'accuracy': 0.7440076701821668} |
0.1898 | 413.0 | 165613 | 1.0594 | {'f1': 0.833756345177665} | {'accuracy': 0.7488015340364333} |
0.1965 | 414.0 | 166014 | 1.1080 | {'f1': 0.8256041802743305} | {'accuracy': 0.7440076701821668} |
0.1965 | 415.0 | 166415 | 1.3118 | {'f1': 0.8264248704663213} | {'accuracy': 0.7430488974113135} |
0.18 | 416.0 | 166816 | 1.2283 | {'f1': 0.8291457286432161} | {'accuracy': 0.7392138063279002} |
0.1965 | 417.0 | 167217 | 1.0645 | {'f1': 0.8183581124757595} | {'accuracy': 0.7305848513902206} |
0.1728 | 418.0 | 167618 | 1.3259 | {'f1': 0.830694275274056} | {'accuracy': 0.7334611697027804} |
0.1859 | 419.0 | 168019 | 1.1126 | {'f1': 0.8258064516129032} | {'accuracy': 0.7411313518696069} |
0.1859 | 420.0 | 168420 | 1.2823 | {'f1': 0.8230865746549562} | {'accuracy': 0.7296260786193672} |
0.1885 | 421.0 | 168821 | 1.1088 | {'f1': 0.8321451717433571} | {'accuracy': 0.7516778523489933} |
0.1831 | 422.0 | 169222 | 1.0043 | {'f1': 0.8343949044585988} | {'accuracy': 0.75071907957814} |
0.1983 | 423.0 | 169623 | 0.9053 | {'f1': 0.8163001293661061} | {'accuracy': 0.7277085330776606} |
0.1996 | 424.0 | 170024 | 1.1843 | {'f1': 0.8305941845764855} | {'accuracy': 0.7430488974113135} |
0.1996 | 425.0 | 170425 | 1.0808 | {'f1': 0.8368883312421581} | {'accuracy': 0.75071907957814} |
0.2092 | 426.0 | 170826 | 1.3682 | {'f1': 0.824583866837388} | {'accuracy': 0.7372962607861937} |
0.1943 | 427.0 | 171227 | 1.2896 | {'f1': 0.8314465408805031} | {'accuracy': 0.7430488974113135} |
0.1936 | 428.0 | 171628 | 1.3162 | {'f1': 0.8317089018843405} | {'accuracy': 0.7516778523489933} |
0.2013 | 429.0 | 172029 | 1.0809 | {'f1': 0.8304862023653088} | {'accuracy': 0.7526366251198466} |
0.2013 | 430.0 | 172430 | 0.9750 | {'f1': 0.8024776324845148} | {'accuracy': 0.7248322147651006} |
0.202 | 431.0 | 172831 | 1.3711 | {'f1': 0.8320802005012532} | {'accuracy': 0.7430488974113135} |
0.1928 | 432.0 | 173232 | 1.2591 | {'f1': 0.8275426405559065} | {'accuracy': 0.738255033557047} |
0.1867 | 433.0 | 173633 | 1.4241 | {'f1': 0.8288060644346177} | {'accuracy': 0.7401725790987536} |
0.1946 | 434.0 | 174034 | 1.1639 | {'f1': 0.8191834089436163} | {'accuracy': 0.7325023969319271} |
0.1946 | 435.0 | 174435 | 1.1985 | {'f1': 0.8255591054313098} | {'accuracy': 0.738255033557047} |
0.1845 | 436.0 | 174836 | 1.1893 | {'f1': 0.8238341968911918} | {'accuracy': 0.7392138063279002} |
0.1735 | 437.0 | 175237 | 1.3274 | {'f1': 0.8332276474318325} | {'accuracy': 0.74784276126558} |
0.1739 | 438.0 | 175638 | 1.2402 | {'f1': 0.8256410256410257} | {'accuracy': 0.7392138063279002} |
0.1709 | 439.0 | 176039 | 1.3347 | {'f1': 0.8194993412384717} | {'accuracy': 0.7372962607861937} |
0.1709 | 440.0 | 176440 | 1.3250 | {'f1': 0.827852998065764} | {'accuracy': 0.7440076701821668} |
0.1722 | 441.0 | 176841 | 1.1848 | {'f1': 0.8245161290322582} | {'accuracy': 0.7392138063279002} |
0.1859 | 442.0 | 177242 | 1.2954 | {'f1': 0.8149580915538363} | {'accuracy': 0.7248322147651006} |
0.1824 | 443.0 | 177643 | 1.1898 | {'f1': 0.8180661577608143} | {'accuracy': 0.725790987535954} |
0.1758 | 444.0 | 178044 | 1.3304 | {'f1': 0.8233782915863841} | {'accuracy': 0.7363374880153404} |
0.1758 | 445.0 | 178445 | 0.9537 | {'f1': 0.8128693368351937} | {'accuracy': 0.7267497603068073} |
0.1949 | 446.0 | 178846 | 1.2281 | {'f1': 0.827930174563591} | {'accuracy': 0.7353787152444871} |
0.2036 | 447.0 | 179247 | 1.3548 | {'f1': 0.8334380892520427} | {'accuracy': 0.7459252157238735} |
0.2143 | 448.0 | 179648 | 1.3221 | {'f1': 0.8252788104089219} | {'accuracy': 0.7296260786193672} |
0.2018 | 449.0 | 180049 | 1.0750 | {'f1': 0.8266841072596469} | {'accuracy': 0.7459252157238735} |
0.2018 | 450.0 | 180450 | 1.0755 | {'f1': 0.827020202020202} | {'accuracy': 0.7372962607861937} |
0.2252 | 451.0 | 180851 | 1.2166 | {'f1': 0.8346951602765557} | {'accuracy': 0.74784276126558} |
0.2094 | 452.0 | 181252 | 1.1274 | {'f1': 0.8315182575272262} | {'accuracy': 0.74784276126558} |
0.2681 | 453.0 | 181653 | 1.3181 | {'f1': 0.827020202020202} | {'accuracy': 0.7372962607861937} |
0.1972 | 454.0 | 182054 | 0.8673 | {'f1': 0.8325123152709359} | {'accuracy': 0.7392138063279002} |
0.1972 | 455.0 | 182455 | 1.1591 | {'f1': 0.8323773103887826} | {'accuracy': 0.74784276126558} |
0.1951 | 456.0 | 182856 | 1.3041 | {'f1': 0.8277130594727161} | {'accuracy': 0.7305848513902206} |
0.1982 | 457.0 | 183257 | 1.4555 | {'f1': 0.8359522313010685} | {'accuracy': 0.7497603068072867} |
0.1838 | 458.0 | 183658 | 1.1299 | {'f1': 0.8346253229974161} | {'accuracy': 0.7545541706615532} |
0.2182 | 459.0 | 184059 | 0.9776 | {'f1': 0.8259773013871374} | {'accuracy': 0.7353787152444871} |
0.2182 | 460.0 | 184460 | 1.3032 | {'f1': 0.8240680183126227} | {'accuracy': 0.7420901246404602} |
0.1852 | 461.0 | 184861 | 0.9505 | {'f1': 0.8330229671011794} | {'accuracy': 0.7420901246404602} |
0.1851 | 462.0 | 185262 | 1.1927 | {'f1': 0.829827915869981} | {'accuracy': 0.7440076701821668} |
0.1888 | 463.0 | 185663 | 1.4087 | {'f1': 0.8368098159509203} | {'accuracy': 0.7449664429530202} |
0.1893 | 464.0 | 186064 | 1.2923 | {'f1': 0.836223506743738} | {'accuracy': 0.7555129434324065} |
0.1893 | 465.0 | 186465 | 1.0797 | {'f1': 0.8313479623824451} | {'accuracy': 0.7420901246404602} |
0.186 | 466.0 | 186866 | 1.2101 | {'f1': 0.834793491864831} | {'accuracy': 0.7468839884947267} |
0.1864 | 467.0 | 187267 | 1.2022 | {'f1': 0.8392511297611364} | {'accuracy': 0.7612655800575263} |
0.1981 | 468.0 | 187668 | 1.1092 | {'f1': 0.8280961182994454} | {'accuracy': 0.7325023969319271} |
0.1895 | 469.0 | 188069 | 1.1553 | {'f1': 0.8340694006309148} | {'accuracy': 0.74784276126558} |
0.1895 | 470.0 | 188470 | 1.3154 | {'f1': 0.8378033205619413} | {'accuracy': 0.7564717162032598} |
0.179 | 471.0 | 188871 | 1.1820 | {'f1': 0.8273291925465839} | {'accuracy': 0.7334611697027804} |
0.1794 | 472.0 | 189272 | 1.3787 | {'f1': 0.8302370275464446} | {'accuracy': 0.7459252157238735} |
0.1789 | 473.0 | 189673 | 1.4287 | {'f1': 0.8244648318042813} | {'accuracy': 0.7248322147651006} |
0.1875 | 474.0 | 190074 | 1.4542 | {'f1': 0.8263157894736842} | {'accuracy': 0.7468839884947267} |
0.1875 | 475.0 | 190475 | 1.2156 | {'f1': 0.8296107211231654} | {'accuracy': 0.7440076701821668} |
0.1752 | 476.0 | 190876 | 1.3758 | {'f1': 0.8198675496688741} | {'accuracy': 0.7392138063279002} |
0.1771 | 477.0 | 191277 | 1.2855 | {'f1': 0.815686274509804} | {'accuracy': 0.7296260786193672} |
0.1733 | 478.0 | 191678 | 1.2288 | {'f1': 0.8364099299809039} | {'accuracy': 0.7535953978907} |
0.1716 | 479.0 | 192079 | 1.3840 | {'f1': 0.8249370277078085} | {'accuracy': 0.7334611697027804} |
0.1716 | 480.0 | 192480 | 1.2057 | {'f1': 0.8237547892720306} | {'accuracy': 0.7353787152444871} |
0.1784 | 481.0 | 192881 | 1.1144 | {'f1': 0.8191214470284238} | {'accuracy': 0.7315436241610739} |
0.1792 | 482.0 | 193282 | 1.3919 | {'f1': 0.8310038119440915} | {'accuracy': 0.7449664429530202} |
0.1733 | 483.0 | 193683 | 1.4192 | {'f1': 0.8193717277486912} | {'accuracy': 0.7353787152444871} |
0.1744 | 484.0 | 194084 | 1.3938 | {'f1': 0.833859759949463} | {'accuracy': 0.74784276126558} |
0.1744 | 485.0 | 194485 | 1.1077 | {'f1': 0.825065274151436} | {'accuracy': 0.7430488974113135} |
0.1979 | 486.0 | 194886 | 1.3552 | {'f1': 0.8292993630573249} | {'accuracy': 0.7430488974113135} |
0.1819 | 487.0 | 195287 | 1.3888 | {'f1': 0.8311195445920303} | {'accuracy': 0.7440076701821668} |
0.1856 | 488.0 | 195688 | 1.3409 | {'f1': 0.834793491864831} | {'accuracy': 0.7468839884947267} |
0.1808 | 489.0 | 196089 | 1.2179 | {'f1': 0.8173455978975033} | {'accuracy': 0.7334611697027804} |
0.1808 | 490.0 | 196490 | 1.0741 | {'f1': 0.832398753894081} | {'accuracy': 0.7420901246404602} |
0.1901 | 491.0 | 196891 | 1.2581 | {'f1': 0.8294871794871795} | {'accuracy': 0.7449664429530202} |
0.171 | 492.0 | 197292 | 1.2058 | {'f1': 0.8394584139264991} | {'accuracy': 0.7612655800575263} |
0.1898 | 493.0 | 197693 | 1.2022 | {'f1': 0.8239895697522815} | {'accuracy': 0.7411313518696069} |
0.1996 | 494.0 | 198094 | 1.3556 | {'f1': 0.8326018808777429} | {'accuracy': 0.7440076701821668} |
0.1996 | 495.0 | 198495 | 1.4803 | {'f1': 0.8322903629536921} | {'accuracy': 0.7430488974113135} |
0.1977 | 496.0 | 198896 | 1.3276 | {'f1': 0.826530612244898} | {'accuracy': 0.7392138063279002} |
0.189 | 497.0 | 199297 | 1.3818 | {'f1': 0.8319800124921923} | {'accuracy': 0.7420901246404602} |
0.1815 | 498.0 | 199698 | 1.1890 | {'f1': 0.8228423101881894} | {'accuracy': 0.738255033557047} |
0.1787 | 499.0 | 200099 | 1.0720 | {'f1': 0.8283723875870805} | {'accuracy': 0.7401725790987536} |
0.192 | 500.0 | 200500 | 1.2294 | {'f1': 0.836340206185567} | {'accuracy': 0.7564717162032598} |
0.192 | 501.0 | 200901 | 1.0655 | {'f1': 0.8362720403022671} | {'accuracy': 0.75071907957814} |
0.1763 | 502.0 | 201302 | 0.9363 | {'f1': 0.8316195372750643} | {'accuracy': 0.7488015340364333} |
0.1862 | 503.0 | 201703 | 1.3441 | {'f1': 0.8270096463022508} | {'accuracy': 0.7420901246404602} |
0.2075 | 504.0 | 202104 | 1.1774 | {'f1': 0.8259773013871374} | {'accuracy': 0.7353787152444871} |
0.1806 | 505.0 | 202505 | 1.2772 | {'f1': 0.8325791855203619} | {'accuracy': 0.7516778523489933} |
0.1806 | 506.0 | 202906 | 1.2522 | {'f1': 0.8293625241468126} | {'accuracy': 0.7459252157238735} |
0.1574 | 507.0 | 203307 | 1.1750 | {'f1': 0.8377874456183967} | {'accuracy': 0.7497603068072867} |
0.1716 | 508.0 | 203708 | 1.2929 | {'f1': 0.8234536082474228} | {'accuracy': 0.7372962607861937} |
0.1834 | 509.0 | 204109 | 1.4654 | {'f1': 0.8316582914572863} | {'accuracy': 0.7430488974113135} |
0.1682 | 510.0 | 204510 | 1.3371 | {'f1': 0.8348680171884592} | {'accuracy': 0.7420901246404602} |
0.1682 | 511.0 | 204911 | 1.4710 | {'f1': 0.8323773103887826} | {'accuracy': 0.74784276126558} |
0.2125 | 512.0 | 205312 | 1.0153 | {'f1': 0.8325963360707517} | {'accuracy': 0.7459252157238735} |
0.2007 | 513.0 | 205713 | 0.9367 | {'f1': 0.8133333333333334} | {'accuracy': 0.7315436241610739} |
0.2031 | 514.0 | 206114 | 1.2116 | {'f1': 0.8277634961439588} | {'accuracy': 0.7430488974113135} |
0.184 | 515.0 | 206515 | 1.2231 | {'f1': 0.828499369482976} | {'accuracy': 0.7392138063279002} |
0.184 | 516.0 | 206916 | 1.3763 | {'f1': 0.8334396936821954} | {'accuracy': 0.7497603068072867} |
0.1862 | 517.0 | 207317 | 1.1208 | {'f1': 0.8295165394402036} | {'accuracy': 0.7430488974113135} |
0.2084 | 518.0 | 207718 | 1.0639 | {'f1': 0.8235294117647058} | {'accuracy': 0.738255033557047} |
0.1967 | 519.0 | 208119 | 1.1155 | {'f1': 0.8256182625237792} | {'accuracy': 0.7363374880153404} |
0.1943 | 520.0 | 208520 | 0.8892 | {'f1': 0.8317815021725636} | {'accuracy': 0.7401725790987536} |
0.1943 | 521.0 | 208921 | 1.2673 | {'f1': 0.825065274151436} | {'accuracy': 0.7430488974113135} |
0.2068 | 522.0 | 209322 | 1.0673 | {'f1': 0.8316062176165803} | {'accuracy': 0.75071907957814} |
0.198 | 523.0 | 209723 | 0.9268 | {'f1': 0.8325963360707517} | {'accuracy': 0.7459252157238735} |
0.2135 | 524.0 | 210124 | 1.3506 | {'f1': 0.8311362209667295} | {'accuracy': 0.7420901246404602} |
0.1971 | 525.0 | 210525 | 1.1539 | {'f1': 0.8333333333333333} | {'accuracy': 0.7430488974113135} |
0.1971 | 526.0 | 210926 | 1.1212 | {'f1': 0.8215712383488681} | {'accuracy': 0.7430488974113135} |
0.1759 | 527.0 | 211327 | 1.2367 | {'f1': 0.8253573648228714} | {'accuracy': 0.7305848513902206} |
0.1851 | 528.0 | 211728 | 1.0518 | {'f1': 0.8216145833333334} | {'accuracy': 0.7372962607861937} |
0.1709 | 529.0 | 212129 | 1.2593 | {'f1': 0.8264984227129337} | {'accuracy': 0.7363374880153404} |
0.1657 | 530.0 | 212530 | 1.3602 | {'f1': 0.8244372990353698} | {'accuracy': 0.738255033557047} |
0.1657 | 531.0 | 212931 | 1.3430 | {'f1': 0.8157724628312865} | {'accuracy': 0.7267497603068073} |
0.1725 | 532.0 | 213332 | 1.2189 | {'f1': 0.8207792207792208} | {'accuracy': 0.7353787152444871} |
0.1899 | 533.0 | 213733 | 1.0550 | {'f1': 0.8120104438642297} | {'accuracy': 0.7238734419942474} |
0.214 | 534.0 | 214134 | 1.2949 | {'f1': 0.8254777070063695} | {'accuracy': 0.7372962607861937} |
0.1914 | 535.0 | 214535 | 1.2096 | {'f1': 0.8276729559748428} | {'accuracy': 0.7372962607861937} |
0.1914 | 536.0 | 214936 | 1.3878 | {'f1': 0.8169556840077072} | {'accuracy': 0.7267497603068073} |
0.1875 | 537.0 | 215337 | 1.1380 | {'f1': 0.8109187749667109} | {'accuracy': 0.7277085330776606} |
0.1841 | 538.0 | 215738 | 1.5245 | {'f1': 0.8228782287822879} | {'accuracy': 0.7238734419942474} |
0.1833 | 539.0 | 216139 | 1.1705 | {'f1': 0.8210116731517509} | {'accuracy': 0.7353787152444871} |
0.1964 | 540.0 | 216540 | 1.3621 | {'f1': 0.8102094240837695} | {'accuracy': 0.7219558964525408} |
0.1964 | 541.0 | 216941 | 1.1324 | {'f1': 0.808707124010554} | {'accuracy': 0.7219558964525408} |
0.2 | 542.0 | 217342 | 1.2192 | {'f1': 0.8340807174887893} | {'accuracy': 0.7516778523489933} |
0.1762 | 543.0 | 217743 | 1.4190 | {'f1': 0.8285714285714286} | {'accuracy': 0.7468839884947267} |
0.1851 | 544.0 | 218144 | 1.2717 | {'f1': 0.8310214375788146} | {'accuracy': 0.7430488974113135} |
0.1931 | 545.0 | 218545 | 1.3152 | {'f1': 0.8313479623824451} | {'accuracy': 0.7420901246404602} |
0.1931 | 546.0 | 218946 | 1.0623 | {'f1': 0.8362014021669855} | {'accuracy': 0.7535953978907} |
0.1962 | 547.0 | 219347 | 1.2971 | {'f1': 0.8350383631713555} | {'accuracy': 0.7526366251198466} |
0.1761 | 548.0 | 219748 | 1.4081 | {'f1': 0.8339670468948036} | {'accuracy': 0.7488015340364333} |
0.1684 | 549.0 | 220149 | 1.5189 | {'f1': 0.8316582914572863} | {'accuracy': 0.7430488974113135} |
0.1695 | 550.0 | 220550 | 1.3065 | {'f1': 0.8377164849262349} | {'accuracy': 0.7574304889741131} |
0.1695 | 551.0 | 220951 | 1.2823 | {'f1': 0.814411964649898} | {'accuracy': 0.738255033557047} |
0.1674 | 552.0 | 221352 | 1.2116 | {'f1': 0.8353162179085786} | {'accuracy': 0.74784276126558} |
0.1619 | 553.0 | 221753 | 1.3179 | {'f1': 0.8335467349551857} | {'accuracy': 0.75071907957814} |
0.1708 | 554.0 | 222154 | 1.0876 | {'f1': 0.8304319793681496} | {'accuracy': 0.74784276126558} |
0.1592 | 555.0 | 222555 | 0.9038 | {'f1': 0.8413705583756345} | {'accuracy': 0.7603068072866731} |
0.1592 | 556.0 | 222956 | 1.2623 | {'f1': 0.8382716049382717} | {'accuracy': 0.7488015340364333} |
0.1736 | 557.0 | 223357 | 1.3497 | {'f1': 0.8388746803069054} | {'accuracy': 0.7583892617449665} |
0.1548 | 558.0 | 223758 | 1.4598 | {'f1': 0.8378548895899053} | {'accuracy': 0.7535953978907} |
0.153 | 559.0 | 224159 | 1.7488 | {'f1': 0.8285356695869838} | {'accuracy': 0.7372962607861937} |
0.1587 | 560.0 | 224560 | 1.6057 | {'f1': 0.8305606900800986} | {'accuracy': 0.7363374880153404} |
0.1587 | 561.0 | 224961 | 1.4099 | {'f1': 0.8322663252240717} | {'accuracy': 0.7488015340364333} |
0.1558 | 562.0 | 225362 | 1.4425 | {'f1': 0.8244084682440848} | {'accuracy': 0.7296260786193672} |
0.1431 | 563.0 | 225763 | 1.5253 | {'f1': 0.832908163265306} | {'accuracy': 0.7488015340364333} |
0.1603 | 564.0 | 226164 | 1.4144 | {'f1': 0.8345047923322685} | {'accuracy': 0.7516778523489933} |
0.1615 | 565.0 | 226565 | 1.7290 | {'f1': 0.8284166164960866} | {'accuracy': 0.7267497603068073} |
0.1615 | 566.0 | 226966 | 1.7988 | {'f1': 0.8254164096236891} | {'accuracy': 0.7286673058485139} |
0.1458 | 567.0 | 227367 | 1.5867 | {'f1': 0.8122215149586252} | {'accuracy': 0.7171620325982742} |
0.1471 | 568.0 | 227768 | 1.3076 | {'f1': 0.8233034571062741} | {'accuracy': 0.7353787152444871} |
0.148 | 569.0 | 228169 | 1.2555 | {'f1': 0.8149632598530394} | {'accuracy': 0.7344199424736337} |
0.1533 | 570.0 | 228570 | 1.5063 | {'f1': 0.8301886792452831} | {'accuracy': 0.7411313518696069} |
0.1533 | 571.0 | 228971 | 1.5189 | {'f1': 0.8349753694581281} | {'accuracy': 0.7430488974113135} |
0.1519 | 572.0 | 229372 | 1.2028 | {'f1': 0.8312020460358057} | {'accuracy': 0.7468839884947267} |
0.1495 | 573.0 | 229773 | 1.2156 | {'f1': 0.8299232736572889} | {'accuracy': 0.7449664429530202} |
0.1535 | 574.0 | 230174 | 1.4894 | {'f1': 0.8313021167415009} | {'accuracy': 0.74784276126558} |
0.1384 | 575.0 | 230575 | 1.6469 | {'f1': 0.8368883312421581} | {'accuracy': 0.75071907957814} |
0.1384 | 576.0 | 230976 | 1.5157 | {'f1': 0.8388714733542321} | {'accuracy': 0.7535953978907} |
0.1328 | 577.0 | 231377 | 1.3831 | {'f1': 0.8296774193548387} | {'accuracy': 0.7468839884947267} |
0.1324 | 578.0 | 231778 | 1.2611 | {'f1': 0.826115061409179} | {'accuracy': 0.7420901246404602} |
0.135 | 579.0 | 232179 | 1.5978 | {'f1': 0.8220937700706487} | {'accuracy': 0.7344199424736337} |
0.1354 | 580.0 | 232580 | 1.8147 | {'f1': 0.8320000000000001} | {'accuracy': 0.738255033557047} |
0.1354 | 581.0 | 232981 | 1.6111 | {'f1': 0.8310387984981228} | {'accuracy': 0.7411313518696069} |
0.1326 | 582.0 | 233382 | 1.3016 | {'f1': 0.8282051282051283} | {'accuracy': 0.7430488974113135} |
0.1178 | 583.0 | 233783 | 1.4932 | {'f1': 0.8195439739413681} | {'accuracy': 0.7344199424736337} |
0.1137 | 584.0 | 234184 | 2.0423 | {'f1': 0.8330229671011794} | {'accuracy': 0.7420901246404602} |
0.1312 | 585.0 | 234585 | 1.4631 | {'f1': 0.8134034165571615} | {'accuracy': 0.7277085330776606} |
0.1312 | 586.0 | 234986 | 1.4882 | {'f1': 0.8264781491002571} | {'accuracy': 0.7411313518696069} |
0.1336 | 587.0 | 235387 | 1.1987 | {'f1': 0.8318695106649937} | {'accuracy': 0.7430488974113135} |
0.1382 | 588.0 | 235788 | 1.1964 | {'f1': 0.8244372990353698} | {'accuracy': 0.738255033557047} |
0.1313 | 589.0 | 236189 | 1.3087 | {'f1': 0.8326898326898327} | {'accuracy': 0.75071907957814} |
0.1277 | 590.0 | 236590 | 1.5256 | {'f1': 0.8331257783312578} | {'accuracy': 0.7430488974113135} |
0.1277 | 591.0 | 236991 | 1.5480 | {'f1': 0.8316953316953316} | {'accuracy': 0.7372962607861937} |
0.1385 | 592.0 | 237392 | 1.3847 | {'f1': 0.827852998065764} | {'accuracy': 0.7440076701821668} |
0.1281 | 593.0 | 237793 | 1.5152 | {'f1': 0.8278061224489797} | {'accuracy': 0.7411313518696069} |
0.1266 | 594.0 | 238194 | 1.7781 | {'f1': 0.835458409228901} | {'accuracy': 0.7401725790987536} |
0.1251 | 595.0 | 238595 | 1.4198 | {'f1': 0.833015873015873} | {'accuracy': 0.74784276126558} |
0.1251 | 596.0 | 238996 | 1.6065 | {'f1': 0.8281150159744408} | {'accuracy': 0.7420901246404602} |
0.139 | 597.0 | 239397 | 1.3715 | {'f1': 0.8258317025440313} | {'accuracy': 0.7440076701821668} |
0.1338 | 598.0 | 239798 | 1.6721 | {'f1': 0.8278061224489797} | {'accuracy': 0.7411313518696069} |
0.1221 | 599.0 | 240199 | 1.8160 | {'f1': 0.8329145728643216} | {'accuracy': 0.7449664429530202} |
0.1246 | 600.0 | 240600 | 1.7523 | {'f1': 0.826530612244898} | {'accuracy': 0.7392138063279002} |
0.1144 | 601.0 | 241001 | 1.4259 | {'f1': 0.8226018396846255} | {'accuracy': 0.7411313518696069} |
0.1144 | 602.0 | 241402 | 1.3581 | {'f1': 0.8423028785982478} | {'accuracy': 0.7583892617449665} |
0.1269 | 603.0 | 241803 | 1.6206 | {'f1': 0.8394753279200501} | {'accuracy': 0.7535953978907} |
0.116 | 604.0 | 242204 | 1.2881 | {'f1': 0.8285895003162556} | {'accuracy': 0.7401725790987536} |
0.1216 | 605.0 | 242605 | 1.5383 | {'f1': 0.8336520076481836} | {'accuracy': 0.7497603068072867} |
0.1132 | 606.0 | 243006 | 1.5624 | {'f1': 0.8276299112801015} | {'accuracy': 0.7392138063279002} |
0.1132 | 607.0 | 243407 | 1.6449 | {'f1': 0.8322903629536921} | {'accuracy': 0.7430488974113135} |
0.103 | 608.0 | 243808 | 1.6144 | {'f1': 0.8352344740177441} | {'accuracy': 0.75071907957814} |
0.12 | 609.0 | 244209 | 1.6368 | {'f1': 0.8296199213630406} | {'accuracy': 0.75071907957814} |
0.1166 | 610.0 | 244610 | 1.7159 | {'f1': 0.8339622641509433} | {'accuracy': 0.7468839884947267} |
0.1074 | 611.0 | 245011 | 1.3891 | {'f1': 0.8331143232588699} | {'accuracy': 0.7564717162032598} |
0.1074 | 612.0 | 245412 | 1.4587 | {'f1': 0.8337531486146096} | {'accuracy': 0.7468839884947267} |
0.1055 | 613.0 | 245813 | 1.4647 | {'f1': 0.8284789644012944} | {'accuracy': 0.7459252157238735} |
0.1133 | 614.0 | 246214 | 1.4399 | {'f1': 0.8315182575272262} | {'accuracy': 0.74784276126558} |
0.135 | 615.0 | 246615 | 1.4565 | {'f1': 0.8143790849673201} | {'accuracy': 0.7277085330776606} |
0.1181 | 616.0 | 247016 | 1.6149 | {'f1': 0.8329145728643216} | {'accuracy': 0.7449664429530202} |
0.1181 | 617.0 | 247417 | 1.4303 | {'f1': 0.8048289738430584} | {'accuracy': 0.7209971236816874} |
0.1361 | 618.0 | 247818 | 1.4055 | {'f1': 0.8359522313010685} | {'accuracy': 0.7497603068072867} |
0.1177 | 619.0 | 248219 | 1.4533 | {'f1': 0.8251121076233184} | {'accuracy': 0.738255033557047} |
0.13 | 620.0 | 248620 | 1.4533 | {'f1': 0.8315041962556489} | {'accuracy': 0.7497603068072867} |
0.1152 | 621.0 | 249021 | 1.5651 | {'f1': 0.8333333333333334} | {'accuracy': 0.7564717162032598} |
0.1152 | 622.0 | 249422 | 1.5349 | {'f1': 0.8298136645962733} | {'accuracy': 0.7372962607861937} |
0.1258 | 623.0 | 249823 | 1.3304 | {'f1': 0.8298701298701299} | {'accuracy': 0.7488015340364333} |
0.1271 | 624.0 | 250224 | 1.7717 | {'f1': 0.8256182625237792} | {'accuracy': 0.7363374880153404} |
0.1087 | 625.0 | 250625 | 1.4667 | {'f1': 0.8367729831144466} | {'accuracy': 0.7497603068072867} |
0.1107 | 626.0 | 251026 | 1.4748 | {'f1': 0.8274534958306606} | {'accuracy': 0.7420901246404602} |
0.1107 | 627.0 | 251427 | 1.2582 | {'f1': 0.8299935358758889} | {'accuracy': 0.74784276126558} |
0.1163 | 628.0 | 251828 | 1.6093 | {'f1': 0.8419023136246786} | {'accuracy': 0.7641418983700863} |
0.1005 | 629.0 | 252229 | 1.6457 | {'f1': 0.8388714733542321} | {'accuracy': 0.7535953978907} |
0.1089 | 630.0 | 252630 | 1.4253 | {'f1': 0.8330229671011794} | {'accuracy': 0.7420901246404602} |
0.1211 | 631.0 | 253031 | 1.9493 | {'f1': 0.8313773934527486} | {'accuracy': 0.738255033557047} |
0.1211 | 632.0 | 253432 | 1.7456 | {'f1': 0.83270911360799} | {'accuracy': 0.7430488974113135} |
0.1089 | 633.0 | 253833 | 1.6031 | {'f1': 0.8240563019833654} | {'accuracy': 0.7363374880153404} |
0.1059 | 634.0 | 254234 | 1.7369 | {'f1': 0.8291457286432161} | {'accuracy': 0.7392138063279002} |
0.1102 | 635.0 | 254635 | 1.4770 | {'f1': 0.8315724052206339} | {'accuracy': 0.7401725790987536} |
0.1158 | 636.0 | 255036 | 1.6676 | {'f1': 0.8261421319796954} | {'accuracy': 0.7372962607861937} |
0.1158 | 637.0 | 255437 | 1.4730 | {'f1': 0.8323548597521201} | {'accuracy': 0.7535953978907} |
0.1132 | 638.0 | 255838 | 1.5628 | {'f1': 0.8270967741935484} | {'accuracy': 0.7430488974113135} |
0.0997 | 639.0 | 256239 | 1.7487 | {'f1': 0.8306503541532518} | {'accuracy': 0.74784276126558} |
0.114 | 640.0 | 256640 | 1.7745 | {'f1': 0.828334396936822} | {'accuracy': 0.7420901246404602} |
0.1012 | 641.0 | 257041 | 1.8126 | {'f1': 0.8303108808290156} | {'accuracy': 0.7488015340364333} |
0.1012 | 642.0 | 257442 | 1.8939 | {'f1': 0.8287153652392948} | {'accuracy': 0.7392138063279002} |
0.1057 | 643.0 | 257843 | 1.5884 | {'f1': 0.8169934640522876} | {'accuracy': 0.7315436241610739} |
0.1018 | 644.0 | 258244 | 1.4668 | {'f1': 0.8308457711442787} | {'accuracy': 0.7392138063279002} |
0.1016 | 645.0 | 258645 | 1.4985 | {'f1': 0.8190224570673712} | {'accuracy': 0.7372962607861937} |
0.1148 | 646.0 | 259046 | 1.7336 | {'f1': 0.8304977945809704} | {'accuracy': 0.7420901246404602} |
0.1148 | 647.0 | 259447 | 1.6005 | {'f1': 0.81795195954488} | {'accuracy': 0.7238734419942474} |
0.0957 | 648.0 | 259848 | 1.8434 | {'f1': 0.8270967741935484} | {'accuracy': 0.7430488974113135} |
0.1002 | 649.0 | 260249 | 1.4834 | {'f1': 0.8209718670076727} | {'accuracy': 0.7315436241610739} |
0.0992 | 650.0 | 260650 | 1.7101 | {'f1': 0.8312807881773399} | {'accuracy': 0.7372962607861937} |
0.1138 | 651.0 | 261051 | 1.5851 | {'f1': 0.8283723875870805} | {'accuracy': 0.7401725790987536} |
0.1138 | 652.0 | 261452 | 1.4149 | {'f1': 0.8307111390811831} | {'accuracy': 0.7420901246404602} |
0.1174 | 653.0 | 261853 | 1.4029 | {'f1': 0.8229233741146168} | {'accuracy': 0.7363374880153404} |
0.108 | 654.0 | 262254 | 1.7220 | {'f1': 0.8351231838281743} | {'accuracy': 0.7497603068072867} |
0.0935 | 655.0 | 262655 | 1.5609 | {'f1': 0.8334380892520427} | {'accuracy': 0.7459252157238735} |
0.0994 | 656.0 | 263056 | 1.2614 | {'f1': 0.8204134366925064} | {'accuracy': 0.7334611697027804} |
0.0994 | 657.0 | 263457 | 1.7510 | {'f1': 0.8256642903434868} | {'accuracy': 0.7420901246404602} |
0.0998 | 658.0 | 263858 | 1.6692 | {'f1': 0.8261421319796954} | {'accuracy': 0.7372962607861937} |
0.0853 | 659.0 | 264259 | 1.2292 | {'f1': 0.82687338501292} | {'accuracy': 0.7430488974113135} |
0.1054 | 660.0 | 264660 | 1.7218 | {'f1': 0.8272318561335902} | {'accuracy': 0.7420901246404602} |
0.1026 | 661.0 | 265061 | 1.7664 | {'f1': 0.8230088495575221} | {'accuracy': 0.7315436241610739} |
0.1026 | 662.0 | 265462 | 1.7136 | {'f1': 0.8155080213903744} | {'accuracy': 0.7353787152444871} |
0.0973 | 663.0 | 265863 | 1.7486 | {'f1': 0.8301404853128992} | {'accuracy': 0.7449664429530202} |
0.0872 | 664.0 | 266264 | 1.8180 | {'f1': 0.829733163913596} | {'accuracy': 0.7430488974113135} |
0.1022 | 665.0 | 266665 | 1.7115 | {'f1': 0.8298807281858129} | {'accuracy': 0.7401725790987536} |
0.1033 | 666.0 | 267066 | 1.6435 | {'f1': 0.8226221079691517} | {'accuracy': 0.7353787152444871} |
0.1033 | 667.0 | 267467 | 1.5114 | {'f1': 0.8209606986899564} | {'accuracy': 0.7248322147651006} |
0.0944 | 668.0 | 267868 | 1.5776 | {'f1': 0.8239116309291746} | {'accuracy': 0.7401725790987536} |
0.0816 | 669.0 | 268269 | 1.9097 | {'f1': 0.8376830044557607} | {'accuracy': 0.7555129434324065} |
0.0942 | 670.0 | 268670 | 1.6546 | {'f1': 0.8246505717916136} | {'accuracy': 0.7353787152444871} |
0.0891 | 671.0 | 269071 | 1.7671 | {'f1': 0.8293625241468126} | {'accuracy': 0.7459252157238735} |
0.0891 | 672.0 | 269472 | 1.6031 | {'f1': 0.8228571428571428} | {'accuracy': 0.7325023969319271} |
0.0897 | 673.0 | 269873 | 1.4601 | {'f1': 0.8238308776425368} | {'accuracy': 0.7363374880153404} |
0.1028 | 674.0 | 270274 | 1.7382 | {'f1': 0.8240563019833654} | {'accuracy': 0.7363374880153404} |
0.0998 | 675.0 | 270675 | 1.9301 | {'f1': 0.8151534944480732} | {'accuracy': 0.7286673058485139} |
0.0866 | 676.0 | 271076 | 1.7861 | {'f1': 0.8240680183126227} | {'accuracy': 0.7420901246404602} |
0.0866 | 677.0 | 271477 | 1.6736 | {'f1': 0.8267716535433071} | {'accuracy': 0.7468839884947267} |
0.0928 | 678.0 | 271878 | 1.5959 | {'f1': 0.8264462809917356} | {'accuracy': 0.738255033557047} |
0.1041 | 679.0 | 272279 | 1.5924 | {'f1': 0.8165137614678899} | {'accuracy': 0.7315436241610739} |
0.0956 | 680.0 | 272680 | 1.6246 | {'f1': 0.8221797323135756} | {'accuracy': 0.7325023969319271} |
0.0836 | 681.0 | 273081 | 1.8791 | {'f1': 0.833859759949463} | {'accuracy': 0.74784276126558} |
0.0836 | 682.0 | 273482 | 1.6407 | {'f1': 0.8274143302180685} | {'accuracy': 0.7344199424736337} |
0.094 | 683.0 | 273883 | 1.7358 | {'f1': 0.8226857887874839} | {'accuracy': 0.7392138063279002} |
0.0996 | 684.0 | 274284 | 1.6334 | {'f1': 0.8181229773462783} | {'accuracy': 0.7305848513902206} |
0.0888 | 685.0 | 274685 | 1.4579 | {'f1': 0.8249370277078085} | {'accuracy': 0.7334611697027804} |
0.0853 | 686.0 | 275086 | 1.6474 | {'f1': 0.8312182741116751} | {'accuracy': 0.7449664429530202} |
0.0853 | 687.0 | 275487 | 1.4804 | {'f1': 0.8247422680412371} | {'accuracy': 0.7392138063279002} |
0.0921 | 688.0 | 275888 | 1.2591 | {'f1': 0.8282442748091604} | {'accuracy': 0.7411313518696069} |
0.0913 | 689.0 | 276289 | 1.6632 | {'f1': 0.8359923420548819} | {'accuracy': 0.7535953978907} |
0.0907 | 690.0 | 276690 | 1.9568 | {'f1': 0.8291139240506329} | {'accuracy': 0.7411313518696069} |
0.0817 | 691.0 | 277091 | 1.7280 | {'f1': 0.8358585858585859} | {'accuracy': 0.75071907957814} |
0.0817 | 692.0 | 277492 | 1.6616 | {'f1': 0.8264462809917356} | {'accuracy': 0.738255033557047} |
0.0962 | 693.0 | 277893 | 1.7548 | {'f1': 0.8276745675848817} | {'accuracy': 0.7420901246404602} |
0.0796 | 694.0 | 278294 | 1.8925 | {'f1': 0.8314745972738538} | {'accuracy': 0.7392138063279002} |
0.0835 | 695.0 | 278695 | 1.5110 | {'f1': 0.8286802030456853} | {'accuracy': 0.7411313518696069} |
0.0863 | 696.0 | 279096 | 1.5822 | {'f1': 0.8223350253807107} | {'accuracy': 0.7315436241610739} |
0.0863 | 697.0 | 279497 | 1.8268 | {'f1': 0.8296390120329322} | {'accuracy': 0.7420901246404602} |
0.0902 | 698.0 | 279898 | 1.5674 | {'f1': 0.8288633461047253} | {'accuracy': 0.7430488974113135} |
0.0985 | 699.0 | 280299 | 1.5877 | {'f1': 0.8240563019833654} | {'accuracy': 0.7363374880153404} |
0.1017 | 700.0 | 280700 | 1.5604 | {'f1': 0.8366093366093366} | {'accuracy': 0.7449664429530202} |
0.0857 | 701.0 | 281101 | 1.4140 | {'f1': 0.8368883312421581} | {'accuracy': 0.75071907957814} |
0.1023 | 702.0 | 281502 | 1.7546 | {'f1': 0.8218649517684887} | {'accuracy': 0.7344199424736337} |
0.1023 | 703.0 | 281903 | 1.6308 | {'f1': 0.8247291268323773} | {'accuracy': 0.7363374880153404} |
0.0902 | 704.0 | 282304 | 1.6120 | {'f1': 0.8343789209535759} | {'accuracy': 0.7468839884947267} |
0.0928 | 705.0 | 282705 | 1.8234 | {'f1': 0.824572514249525} | {'accuracy': 0.7344199424736337} |
0.084 | 706.0 | 283106 | 1.5333 | {'f1': 0.8361370716510904} | {'accuracy': 0.74784276126558} |
0.0891 | 707.0 | 283507 | 1.4155 | {'f1': 0.8290220820189275} | {'accuracy': 0.7401725790987536} |
0.0891 | 708.0 | 283908 | 1.5104 | {'f1': 0.8307111390811831} | {'accuracy': 0.7420901246404602} |
0.0969 | 709.0 | 284309 | 1.6922 | {'f1': 0.8270967741935484} | {'accuracy': 0.7430488974113135} |
0.0906 | 710.0 | 284710 | 1.3256 | {'f1': 0.8359923420548819} | {'accuracy': 0.7535953978907} |
0.089 | 711.0 | 285111 | 1.5909 | {'f1': 0.8188976377952756} | {'accuracy': 0.7353787152444871} |
0.0897 | 712.0 | 285512 | 1.5304 | {'f1': 0.8339622641509433} | {'accuracy': 0.7468839884947267} |
0.0897 | 713.0 | 285913 | 1.5569 | {'f1': 0.8315182575272262} | {'accuracy': 0.74784276126558} |
0.0864 | 714.0 | 286314 | 1.4281 | {'f1': 0.8303341902313626} | {'accuracy': 0.7468839884947267} |
0.0867 | 715.0 | 286715 | 1.5863 | {'f1': 0.823146944083225} | {'accuracy': 0.7392138063279002} |
0.0772 | 716.0 | 287116 | 1.8048 | {'f1': 0.8271446862996158} | {'accuracy': 0.7411313518696069} |
0.0939 | 717.0 | 287517 | 1.3001 | {'f1': 0.8210800260247235} | {'accuracy': 0.7363374880153404} |
0.0939 | 718.0 | 287918 | 1.7993 | {'f1': 0.8239845261121858} | {'accuracy': 0.738255033557047} |
0.0821 | 719.0 | 288319 | 1.5618 | {'f1': 0.8267008985879333} | {'accuracy': 0.7411313518696069} |
0.0924 | 720.0 | 288720 | 1.7069 | {'f1': 0.8335451080050826} | {'accuracy': 0.7488015340364333} |
0.0798 | 721.0 | 289121 | 1.5295 | {'f1': 0.8289891926255561} | {'accuracy': 0.7420901246404602} |
0.0805 | 722.0 | 289522 | 1.6203 | {'f1': 0.8179487179487178} | {'accuracy': 0.7277085330776606} |
0.0805 | 723.0 | 289923 | 1.6092 | {'f1': 0.8229915088177661} | {'accuracy': 0.7401725790987536} |
0.0935 | 724.0 | 290324 | 1.5888 | {'f1': 0.8276315789473684} | {'accuracy': 0.7488015340364333} |
0.0703 | 725.0 | 290725 | 1.3161 | {'f1': 0.8137384412153237} | {'accuracy': 0.7296260786193672} |
0.0869 | 726.0 | 291126 | 1.6319 | {'f1': 0.8261731658955718} | {'accuracy': 0.74784276126558} |
0.0896 | 727.0 | 291527 | 1.5046 | {'f1': 0.8281250000000002} | {'accuracy': 0.7468839884947267} |
0.0896 | 728.0 | 291928 | 1.9018 | {'f1': 0.8279773156899811} | {'accuracy': 0.738255033557047} |
0.0822 | 729.0 | 292329 | 1.5891 | {'f1': 0.8258317025440313} | {'accuracy': 0.7440076701821668} |
0.0928 | 730.0 | 292730 | 1.6360 | {'f1': 0.8332292317301687} | {'accuracy': 0.7440076701821668} |
0.0844 | 731.0 | 293131 | 1.6070 | {'f1': 0.8278481012658229} | {'accuracy': 0.7392138063279002} |
0.0856 | 732.0 | 293532 | 1.4064 | {'f1': 0.825147347740668} | {'accuracy': 0.7440076701821668} |
0.0856 | 733.0 | 293933 | 1.4311 | {'f1': 0.8294573643410853} | {'accuracy': 0.7468839884947267} |
0.094 | 734.0 | 294334 | 1.6478 | {'f1': 0.8256041802743305} | {'accuracy': 0.7440076701821668} |
0.08 | 735.0 | 294735 | 1.6216 | {'f1': 0.8358778625954199} | {'accuracy': 0.7526366251198466} |
0.0859 | 736.0 | 295136 | 1.4966 | {'f1': 0.8353619474695709} | {'accuracy': 0.7535953978907} |
0.0854 | 737.0 | 295537 | 1.7886 | {'f1': 0.8309859154929577} | {'accuracy': 0.7468839884947267} |
0.0854 | 738.0 | 295938 | 1.8090 | {'f1': 0.8307307932542161} | {'accuracy': 0.7401725790987536} |
0.0896 | 739.0 | 296339 | 1.5433 | {'f1': 0.8233815210559398} | {'accuracy': 0.7305848513902206} |
0.0739 | 740.0 | 296740 | 1.7438 | {'f1': 0.819672131147541} | {'accuracy': 0.725790987535954} |
0.0861 | 741.0 | 297141 | 1.9325 | {'f1': 0.8263624841571611} | {'accuracy': 0.7372962607861937} |
0.0791 | 742.0 | 297542 | 1.6114 | {'f1': 0.8280254777070063} | {'accuracy': 0.7411313518696069} |
0.0791 | 743.0 | 297943 | 1.6317 | {'f1': 0.8274984086569064} | {'accuracy': 0.7401725790987536} |
0.0771 | 744.0 | 298344 | 1.5320 | {'f1': 0.8310214375788146} | {'accuracy': 0.7430488974113135} |
0.0799 | 745.0 | 298745 | 1.5274 | {'f1': 0.8223086900129701} | {'accuracy': 0.7372962607861937} |
0.0858 | 746.0 | 299146 | 1.7967 | {'f1': 0.8305519897304235} | {'accuracy': 0.7468839884947267} |
0.0674 | 747.0 | 299547 | 1.9449 | {'f1': 0.8214285714285715} | {'accuracy': 0.7315436241610739} |
0.0674 | 748.0 | 299948 | 1.4532 | {'f1': 0.8191978961209729} | {'accuracy': 0.7363374880153404} |
0.0851 | 749.0 | 300349 | 2.1440 | {'f1': 0.8227848101265823} | {'accuracy': 0.7315436241610739} |
0.0682 | 750.0 | 300750 | 1.6794 | {'f1': 0.8120104438642297} | {'accuracy': 0.7238734419942474} |
0.0847 | 751.0 | 301151 | 2.0765 | {'f1': 0.816847479259732} | {'accuracy': 0.7248322147651006} |
0.0933 | 752.0 | 301552 | 1.9817 | {'f1': 0.8164598301763553} | {'accuracy': 0.7305848513902206} |
0.0933 | 753.0 | 301953 | 1.9762 | {'f1': 0.8250950570342205} | {'accuracy': 0.7353787152444871} |
0.0809 | 754.0 | 302354 | 1.8983 | {'f1': 0.8313021167415009} | {'accuracy': 0.74784276126558} |
0.0816 | 755.0 | 302755 | 1.8626 | {'f1': 0.832274459974587} | {'accuracy': 0.7468839884947267} |
0.0826 | 756.0 | 303156 | 1.9434 | {'f1': 0.821685173089484} | {'accuracy': 0.738255033557047} |
0.0804 | 757.0 | 303557 | 1.7329 | {'f1': 0.8304977945809704} | {'accuracy': 0.7420901246404602} |
0.0804 | 758.0 | 303958 | 1.9640 | {'f1': 0.824126984126984} | {'accuracy': 0.7344199424736337} |
0.0947 | 759.0 | 304359 | 1.4904 | {'f1': 0.8240563019833654} | {'accuracy': 0.7363374880153404} |
0.0828 | 760.0 | 304760 | 1.8932 | {'f1': 0.8310214375788146} | {'accuracy': 0.7430488974113135} |
0.0817 | 761.0 | 305161 | 1.6742 | {'f1': 0.8195439739413681} | {'accuracy': 0.7344199424736337} |
0.0761 | 762.0 | 305562 | 2.1010 | {'f1': 0.8239074550128535} | {'accuracy': 0.7372962607861937} |
0.0761 | 763.0 | 305963 | 1.8021 | {'f1': 0.8315041962556489} | {'accuracy': 0.7497603068072867} |
0.0834 | 764.0 | 306364 | 1.6681 | {'f1': 0.8138020833333333} | {'accuracy': 0.725790987535954} |
0.0919 | 765.0 | 306765 | 1.6430 | {'f1': 0.8323699421965319} | {'accuracy': 0.7497603068072867} |
0.0816 | 766.0 | 307166 | 1.6379 | {'f1': 0.8293316028552888} | {'accuracy': 0.74784276126558} |
0.0851 | 767.0 | 307567 | 1.3931 | {'f1': 0.8308457711442787} | {'accuracy': 0.7392138063279002} |
0.0851 | 768.0 | 307968 | 1.4214 | {'f1': 0.8236065573770491} | {'accuracy': 0.7420901246404602} |
0.0932 | 769.0 | 308369 | 1.7382 | {'f1': 0.8367473618870268} | {'accuracy': 0.74784276126558} |
0.0779 | 770.0 | 308770 | 1.5906 | {'f1': 0.8220779220779222} | {'accuracy': 0.7372962607861937} |
0.0765 | 771.0 | 309171 | 1.6053 | {'f1': 0.8142762723066755} | {'accuracy': 0.7305848513902206} |
0.0826 | 772.0 | 309572 | 1.6844 | {'f1': 0.8359326263256395} | {'accuracy': 0.74784276126558} |
0.0826 | 773.0 | 309973 | 1.6748 | {'f1': 0.8250484183344092} | {'accuracy': 0.7401725790987536} |
0.0854 | 774.0 | 310374 | 1.8388 | {'f1': 0.8264248704663213} | {'accuracy': 0.7430488974113135} |
0.0694 | 775.0 | 310775 | 1.4671 | {'f1': 0.8215661103979461} | {'accuracy': 0.7334611697027804} |
0.0793 | 776.0 | 311176 | 1.6423 | {'f1': 0.8318471337579618} | {'accuracy': 0.7468839884947267} |
0.0829 | 777.0 | 311577 | 1.5728 | {'f1': 0.8310038119440915} | {'accuracy': 0.7449664429530202} |
0.0829 | 778.0 | 311978 | 1.5087 | {'f1': 0.8292367399741268} | {'accuracy': 0.7468839884947267} |
0.0677 | 779.0 | 312379 | 1.8758 | {'f1': 0.8339575530586767} | {'accuracy': 0.7449664429530202} |
0.081 | 780.0 | 312780 | 1.9263 | {'f1': 0.8384710234278668} | {'accuracy': 0.7488015340364333} |
0.0791 | 781.0 | 313181 | 2.0157 | {'f1': 0.8323917137476461} | {'accuracy': 0.7440076701821668} |
0.077 | 782.0 | 313582 | 1.7422 | {'f1': 0.8345047923322685} | {'accuracy': 0.7516778523489933} |
0.077 | 783.0 | 313983 | 1.8700 | {'f1': 0.8386691776522286} | {'accuracy': 0.7535953978907} |
0.0684 | 784.0 | 314384 | 1.8097 | {'f1': 0.8365019011406846} | {'accuracy': 0.7526366251198466} |
0.0664 | 785.0 | 314785 | 1.9999 | {'f1': 0.8288874430709173} | {'accuracy': 0.74784276126558} |
0.0724 | 786.0 | 315186 | 1.7940 | {'f1': 0.829109811565952} | {'accuracy': 0.74784276126558} |
0.0748 | 787.0 | 315587 | 1.9124 | {'f1': 0.8339670468948036} | {'accuracy': 0.7488015340364333} |
0.0748 | 788.0 | 315988 | 1.7876 | {'f1': 0.8414403032217308} | {'accuracy': 0.7593480345158198} |
0.0766 | 789.0 | 316389 | 1.7075 | {'f1': 0.8356687898089172} | {'accuracy': 0.7526366251198466} |
0.0657 | 790.0 | 316790 | 1.9572 | {'f1': 0.8281150159744408} | {'accuracy': 0.7420901246404602} |
0.0687 | 791.0 | 317191 | 1.6156 | {'f1': 0.8352344740177441} | {'accuracy': 0.75071907957814} |
0.0799 | 792.0 | 317592 | 1.9296 | {'f1': 0.8291457286432161} | {'accuracy': 0.7392138063279002} |
0.0799 | 793.0 | 317993 | 1.7499 | {'f1': 0.8250000000000001} | {'accuracy': 0.7449664429530202} |
0.0867 | 794.0 | 318394 | 1.6299 | {'f1': 0.8299492385786802} | {'accuracy': 0.7430488974113135} |
0.0909 | 795.0 | 318795 | 1.9117 | {'f1': 0.8340638697557922} | {'accuracy': 0.7459252157238735} |
0.0809 | 796.0 | 319196 | 1.9613 | {'f1': 0.8297734627831717} | {'accuracy': 0.74784276126558} |
0.0749 | 797.0 | 319597 | 1.6396 | {'f1': 0.8310679611650486} | {'accuracy': 0.7497603068072867} |
0.0749 | 798.0 | 319998 | 1.6120 | {'f1': 0.8314028314028314} | {'accuracy': 0.7488015340364333} |
0.0847 | 799.0 | 320399 | 1.6425 | {'f1': 0.824583866837388} | {'accuracy': 0.7372962607861937} |
0.078 | 800.0 | 320800 | 1.6978 | {'f1': 0.8288874430709173} | {'accuracy': 0.74784276126558} |
0.0724 | 801.0 | 321201 | 1.6961 | {'f1': 0.8359133126934986} | {'accuracy': 0.7459252157238735} |
0.0792 | 802.0 | 321602 | 1.5503 | {'f1': 0.8367729831144466} | {'accuracy': 0.7497603068072867} |
0.0748 | 803.0 | 322003 | 1.8992 | {'f1': 0.8280746941403735} | {'accuracy': 0.7440076701821668} |
0.0748 | 804.0 | 322404 | 1.6148 | {'f1': 0.8312863606981254} | {'accuracy': 0.7497603068072867} |
0.0797 | 805.0 | 322805 | 1.3771 | {'f1': 0.8356867779204109} | {'accuracy': 0.7545541706615532} |
0.0721 | 806.0 | 323206 | 1.5460 | {'f1': 0.8330109606705353} | {'accuracy': 0.7516778523489933} |
0.0693 | 807.0 | 323607 | 1.7683 | {'f1': 0.8272785213511792} | {'accuracy': 0.7401725790987536} |
0.0734 | 808.0 | 324008 | 1.7284 | {'f1': 0.8343868520859672} | {'accuracy': 0.7488015340364333} |
0.0734 | 809.0 | 324409 | 1.7552 | {'f1': 0.8250000000000001} | {'accuracy': 0.7449664429530202} |
0.0726 | 810.0 | 324810 | 1.5678 | {'f1': 0.8229915088177661} | {'accuracy': 0.7401725790987536} |
0.0647 | 811.0 | 325211 | 1.6043 | {'f1': 0.8272785213511792} | {'accuracy': 0.7401725790987536} |
0.0754 | 812.0 | 325612 | 1.6840 | {'f1': 0.8125819134993446} | {'accuracy': 0.725790987535954} |
0.077 | 813.0 | 326013 | 1.5881 | {'f1': 0.8249027237354086} | {'accuracy': 0.7411313518696069} |
0.077 | 814.0 | 326414 | 1.6091 | {'f1': 0.8333333333333333} | {'accuracy': 0.7488015340364333} |
0.078 | 815.0 | 326815 | 1.7158 | {'f1': 0.8260309278350516} | {'accuracy': 0.7411313518696069} |
0.0789 | 816.0 | 327216 | 1.8127 | {'f1': 0.8245161290322582} | {'accuracy': 0.7392138063279002} |
0.0821 | 817.0 | 327617 | 1.5526 | {'f1': 0.829329962073325} | {'accuracy': 0.7411313518696069} |
0.1066 | 818.0 | 328018 | 1.6369 | {'f1': 0.8274111675126904} | {'accuracy': 0.7392138063279002} |
0.1066 | 819.0 | 328419 | 1.7155 | {'f1': 0.8248877485567673} | {'accuracy': 0.738255033557047} |
0.0833 | 820.0 | 328820 | 1.7906 | {'f1': 0.8295819935691318} | {'accuracy': 0.7459252157238735} |
0.0677 | 821.0 | 329221 | 1.6698 | {'f1': 0.8154450261780103} | {'accuracy': 0.7296260786193672} |
0.0567 | 822.0 | 329622 | 1.6616 | {'f1': 0.8149117069980378} | {'accuracy': 0.7286673058485139} |
0.0696 | 823.0 | 330023 | 1.7480 | {'f1': 0.8207792207792208} | {'accuracy': 0.7353787152444871} |
0.0696 | 824.0 | 330424 | 1.7021 | {'f1': 0.832901554404145} | {'accuracy': 0.7526366251198466} |
0.0637 | 825.0 | 330825 | 1.8576 | {'f1': 0.8306148055207027} | {'accuracy': 0.7411313518696069} |
0.0622 | 826.0 | 331226 | 1.7855 | {'f1': 0.827852998065764} | {'accuracy': 0.7440076701821668} |
0.0616 | 827.0 | 331627 | 1.8058 | {'f1': 0.8320610687022901} | {'accuracy': 0.7468839884947267} |
0.0669 | 828.0 | 332028 | 1.8788 | {'f1': 0.8277602523659306} | {'accuracy': 0.738255033557047} |
0.0669 | 829.0 | 332429 | 1.5044 | {'f1': 0.8311688311688312} | {'accuracy': 0.738255033557047} |
0.0735 | 830.0 | 332830 | 1.6616 | {'f1': 0.8247291268323773} | {'accuracy': 0.7363374880153404} |
0.0731 | 831.0 | 333231 | 1.5163 | {'f1': 0.8346951602765557} | {'accuracy': 0.74784276126558} |
0.0852 | 832.0 | 333632 | 1.6763 | {'f1': 0.8274984086569064} | {'accuracy': 0.7401725790987536} |
0.0841 | 833.0 | 334033 | 1.6479 | {'f1': 0.8199481865284975} | {'accuracy': 0.7334611697027804} |
0.0841 | 834.0 | 334434 | 1.5210 | {'f1': 0.8219527760051053} | {'accuracy': 0.7325023969319271} |
0.0737 | 835.0 | 334835 | 1.9015 | {'f1': 0.8304239401496261} | {'accuracy': 0.7392138063279002} |
0.0719 | 836.0 | 335236 | 1.4411 | {'f1': 0.8322663252240717} | {'accuracy': 0.7488015340364333} |
0.0707 | 837.0 | 335637 | 1.7897 | {'f1': 0.829854522454143} | {'accuracy': 0.7420901246404602} |
0.0647 | 838.0 | 336038 | 1.9601 | {'f1': 0.8256410256410257} | {'accuracy': 0.7392138063279002} |
0.0647 | 839.0 | 336439 | 1.8775 | {'f1': 0.8143712574850299} | {'accuracy': 0.7325023969319271} |
0.064 | 840.0 | 336840 | 1.8816 | {'f1': 0.8291746641074856} | {'accuracy': 0.7440076701821668} |
0.0561 | 841.0 | 337241 | 1.7983 | {'f1': 0.8376830044557607} | {'accuracy': 0.7555129434324065} |
0.0655 | 842.0 | 337642 | 1.8836 | {'f1': 0.821882951653944} | {'accuracy': 0.7315436241610739} |
0.0692 | 843.0 | 338043 | 1.8478 | {'f1': 0.8270580727504787} | {'accuracy': 0.7401725790987536} |
0.0692 | 844.0 | 338444 | 1.4446 | {'f1': 0.8396756082345601} | {'accuracy': 0.7535953978907} |
0.0663 | 845.0 | 338845 | 1.5658 | {'f1': 0.8411689961880559} | {'accuracy': 0.7603068072866731} |
0.0586 | 846.0 | 339246 | 1.8865 | {'f1': 0.8326018808777429} | {'accuracy': 0.7440076701821668} |
0.0552 | 847.0 | 339647 | 1.7858 | {'f1': 0.8378548895899053} | {'accuracy': 0.7535953978907} |
0.0584 | 848.0 | 340048 | 1.8641 | {'f1': 0.8172757475083057} | {'accuracy': 0.7363374880153404} |
0.0584 | 849.0 | 340449 | 1.7978 | {'f1': 0.8275862068965517} | {'accuracy': 0.7363374880153404} |
0.0625 | 850.0 | 340850 | 1.8177 | {'f1': 0.8295165394402036} | {'accuracy': 0.7430488974113135} |
0.0642 | 851.0 | 341251 | 1.9229 | {'f1': 0.8292367399741268} | {'accuracy': 0.7468839884947267} |
0.0645 | 852.0 | 341652 | 1.6049 | {'f1': 0.8313878080415046} | {'accuracy': 0.75071907957814} |
0.0646 | 853.0 | 342053 | 1.7828 | {'f1': 0.8364336112892881} | {'accuracy': 0.7555129434324065} |
0.0646 | 854.0 | 342454 | 1.6165 | {'f1': 0.8317089018843405} | {'accuracy': 0.7516778523489933} |
0.065 | 855.0 | 342855 | 1.4540 | {'f1': 0.8247694334650855} | {'accuracy': 0.7449664429530202} |
0.0627 | 856.0 | 343256 | 1.7338 | {'f1': 0.8290816326530612} | {'accuracy': 0.7430488974113135} |
0.0554 | 857.0 | 343657 | 1.6253 | {'f1': 0.8222365869424694} | {'accuracy': 0.7363374880153404} |
0.0682 | 858.0 | 344058 | 1.8193 | {'f1': 0.8330206378986866} | {'accuracy': 0.7440076701821668} |
0.0682 | 859.0 | 344459 | 1.7752 | {'f1': 0.8175937904269082} | {'accuracy': 0.7296260786193672} |
0.0645 | 860.0 | 344860 | 1.9225 | {'f1': 0.8244372990353698} | {'accuracy': 0.738255033557047} |
0.0672 | 861.0 | 345261 | 2.0787 | {'f1': 0.8221649484536082} | {'accuracy': 0.7353787152444871} |
0.0587 | 862.0 | 345662 | 1.6293 | {'f1': 0.8153946510110893} | {'accuracy': 0.7286673058485139} |
0.0616 | 863.0 | 346063 | 1.6871 | {'f1': 0.8169200264375412} | {'accuracy': 0.7344199424736337} |
0.0616 | 864.0 | 346464 | 1.7080 | {'f1': 0.8208386277001269} | {'accuracy': 0.7296260786193672} |
0.0727 | 865.0 | 346865 | 1.9486 | {'f1': 0.8154450261780103} | {'accuracy': 0.7296260786193672} |
0.0558 | 866.0 | 347266 | 1.7920 | {'f1': 0.8236048749198204} | {'accuracy': 0.7363374880153404} |
0.0727 | 867.0 | 347667 | 1.8969 | {'f1': 0.829800899165061} | {'accuracy': 0.7459252157238735} |
0.0619 | 868.0 | 348068 | 1.8038 | {'f1': 0.8256410256410257} | {'accuracy': 0.7392138063279002} |
0.0619 | 869.0 | 348469 | 1.5003 | {'f1': 0.8296390120329322} | {'accuracy': 0.7420901246404602} |
0.0736 | 870.0 | 348870 | 1.7518 | {'f1': 0.827319587628866} | {'accuracy': 0.7430488974113135} |
0.0617 | 871.0 | 349271 | 1.8904 | {'f1': 0.8250484183344092} | {'accuracy': 0.7401725790987536} |
0.0527 | 872.0 | 349672 | 2.0348 | {'f1': 0.8282323547782636} | {'accuracy': 0.7363374880153404} |
0.0529 | 873.0 | 350073 | 1.7659 | {'f1': 0.8319697923222151} | {'accuracy': 0.7440076701821668} |
0.0529 | 874.0 | 350474 | 1.5533 | {'f1': 0.8315321042593768} | {'accuracy': 0.7459252157238735} |
0.0734 | 875.0 | 350875 | 1.9291 | {'f1': 0.8331226295828066} | {'accuracy': 0.7468839884947267} |
0.0665 | 876.0 | 351276 | 1.8267 | {'f1': 0.8384663733500944} | {'accuracy': 0.7535953978907} |
0.0563 | 877.0 | 351677 | 1.7734 | {'f1': 0.8258642765685019} | {'accuracy': 0.7392138063279002} |
0.0673 | 878.0 | 352078 | 1.8179 | {'f1': 0.8166776968894771} | {'accuracy': 0.7344199424736337} |
0.0673 | 879.0 | 352479 | 1.9985 | {'f1': 0.8321722609246357} | {'accuracy': 0.7459252157238735} |
0.0518 | 880.0 | 352880 | 1.9234 | {'f1': 0.8250950570342205} | {'accuracy': 0.7353787152444871} |
0.0659 | 881.0 | 353281 | 1.6614 | {'f1': 0.8284789644012944} | {'accuracy': 0.7459252157238735} |
0.0669 | 882.0 | 353682 | 1.9936 | {'f1': 0.8304761904761905} | {'accuracy': 0.7440076701821668} |
0.0537 | 883.0 | 354083 | 1.7532 | {'f1': 0.8242894056847546} | {'accuracy': 0.7392138063279002} |
0.0537 | 884.0 | 354484 | 1.7972 | {'f1': 0.8219895287958114} | {'accuracy': 0.7392138063279002} |
0.05 | 885.0 | 354885 | 1.8771 | {'f1': 0.8316195372750643} | {'accuracy': 0.7488015340364333} |
0.058 | 886.0 | 355286 | 1.5124 | {'f1': 0.8170491803278688} | {'accuracy': 0.7325023969319271} |
0.0608 | 887.0 | 355687 | 1.7311 | {'f1': 0.8195439739413681} | {'accuracy': 0.7344199424736337} |
0.0643 | 888.0 | 356088 | 1.9484 | {'f1': 0.8275426405559065} | {'accuracy': 0.738255033557047} |
0.0643 | 889.0 | 356489 | 2.0468 | {'f1': 0.8303341902313626} | {'accuracy': 0.7468839884947267} |
0.0585 | 890.0 | 356890 | 1.8950 | {'f1': 0.8176431863067807} | {'accuracy': 0.7344199424736337} |
0.0602 | 891.0 | 357291 | 1.7136 | {'f1': 0.8262548262548263} | {'accuracy': 0.7411313518696069} |
0.0645 | 892.0 | 357692 | 1.6685 | {'f1': 0.8278021289918598} | {'accuracy': 0.7363374880153404} |
0.0608 | 893.0 | 358093 | 1.9667 | {'f1': 0.8268015170670038} | {'accuracy': 0.7372962607861937} |
0.0608 | 894.0 | 358494 | 2.0337 | {'f1': 0.8335435056746532} | {'accuracy': 0.7468839884947267} |
0.0496 | 895.0 | 358895 | 1.8688 | {'f1': 0.8263933376041} | {'accuracy': 0.7401725790987536} |
0.0577 | 896.0 | 359296 | 1.9173 | {'f1': 0.8255591054313098} | {'accuracy': 0.738255033557047} |
0.0619 | 897.0 | 359697 | 1.7351 | {'f1': 0.8244372990353698} | {'accuracy': 0.738255033557047} |
0.0627 | 898.0 | 360098 | 2.0481 | {'f1': 0.8259773013871374} | {'accuracy': 0.7353787152444871} |
0.0627 | 899.0 | 360499 | 1.8965 | {'f1': 0.8181818181818181} | {'accuracy': 0.7315436241610739} |
0.0618 | 900.0 | 360900 | 2.1470 | {'f1': 0.8351920693928129} | {'accuracy': 0.7449664429530202} |
0.053 | 901.0 | 361301 | 2.0562 | {'f1': 0.826115061409179} | {'accuracy': 0.7420901246404602} |
0.0549 | 902.0 | 361702 | 1.9612 | {'f1': 0.8132450331125828} | {'accuracy': 0.7296260786193672} |
0.0565 | 903.0 | 362103 | 2.0500 | {'f1': 0.835633626097867} | {'accuracy': 0.7488015340364333} |
0.0588 | 904.0 | 362504 | 1.9129 | {'f1': 0.8224061107574794} | {'accuracy': 0.7325023969319271} |
0.0588 | 905.0 | 362905 | 1.9839 | {'f1': 0.8202824133504493} | {'accuracy': 0.7315436241610739} |
0.063 | 906.0 | 363306 | 1.7871 | {'f1': 0.8116710875331565} | {'accuracy': 0.7277085330776606} |
0.047 | 907.0 | 363707 | 2.1950 | {'f1': 0.8220392653578215} | {'accuracy': 0.7305848513902206} |
0.0532 | 908.0 | 364108 | 1.7760 | {'f1': 0.8233034571062741} | {'accuracy': 0.7353787152444871} |
0.0612 | 909.0 | 364509 | 2.0076 | {'f1': 0.8252551020408163} | {'accuracy': 0.7372962607861937} |
0.0612 | 910.0 | 364910 | 1.9677 | {'f1': 0.8255959849435383} | {'accuracy': 0.7334611697027804} |
0.0478 | 911.0 | 365311 | 2.1461 | {'f1': 0.8176656151419559} | {'accuracy': 0.7229146692233941} |
0.0466 | 912.0 | 365712 | 1.8738 | {'f1': 0.8213367609254499} | {'accuracy': 0.7334611697027804} |
0.0579 | 913.0 | 366113 | 2.3373 | {'f1': 0.8294815740162399} | {'accuracy': 0.738255033557047} |
0.054 | 914.0 | 366514 | 1.7232 | {'f1': 0.8282051282051283} | {'accuracy': 0.7430488974113135} |
0.054 | 915.0 | 366915 | 2.0443 | {'f1': 0.8259473346178547} | {'accuracy': 0.7401725790987536} |
0.05 | 916.0 | 367316 | 1.5183 | {'f1': 0.8142292490118578} | {'accuracy': 0.7296260786193672} |
0.0539 | 917.0 | 367717 | 1.7512 | {'f1': 0.8329048843187661} | {'accuracy': 0.75071907957814} |
0.0563 | 918.0 | 368118 | 1.9875 | {'f1': 0.8280254777070063} | {'accuracy': 0.7411313518696069} |
0.0437 | 919.0 | 368519 | 1.8267 | {'f1': 0.8324808184143223} | {'accuracy': 0.7488015340364333} |
0.0437 | 920.0 | 368920 | 2.0118 | {'f1': 0.8289218850871531} | {'accuracy': 0.7459252157238735} |
0.047 | 921.0 | 369321 | 1.6547 | {'f1': 0.8242038216560509} | {'accuracy': 0.7353787152444871} |
0.0593 | 922.0 | 369722 | 1.5575 | {'f1': 0.8311195445920303} | {'accuracy': 0.7440076701821668} |
0.0473 | 923.0 | 370123 | 1.8466 | {'f1': 0.8326898326898327} | {'accuracy': 0.75071907957814} |
0.0468 | 924.0 | 370524 | 1.9781 | {'f1': 0.8302606484424666} | {'accuracy': 0.7440076701821668} |
0.0468 | 925.0 | 370925 | 1.9146 | {'f1': 0.833756345177665} | {'accuracy': 0.7488015340364333} |
0.0596 | 926.0 | 371326 | 1.9570 | {'f1': 0.8186528497409328} | {'accuracy': 0.7315436241610739} |
0.0518 | 927.0 | 371727 | 1.9638 | {'f1': 0.8305941845764855} | {'accuracy': 0.7430488974113135} |
0.0513 | 928.0 | 372128 | 1.9971 | {'f1': 0.8241206030150754} | {'accuracy': 0.7315436241610739} |
0.0566 | 929.0 | 372529 | 1.7928 | {'f1': 0.8322903629536921} | {'accuracy': 0.7430488974113135} |
0.0566 | 930.0 | 372930 | 2.0826 | {'f1': 0.8288288288288289} | {'accuracy': 0.7449664429530202} |
0.0446 | 931.0 | 373331 | 1.8652 | {'f1': 0.8330206378986866} | {'accuracy': 0.7440076701821668} |
0.0505 | 932.0 | 373732 | 2.0375 | {'f1': 0.8231511254019293} | {'accuracy': 0.7363374880153404} |
0.0573 | 933.0 | 374133 | 1.9296 | {'f1': 0.8267868641339344} | {'accuracy': 0.7420901246404602} |
0.0512 | 934.0 | 374534 | 1.7201 | {'f1': 0.8272318561335902} | {'accuracy': 0.7420901246404602} |
0.0512 | 935.0 | 374935 | 1.8283 | {'f1': 0.8269105160026127} | {'accuracy': 0.7459252157238735} |
0.0496 | 936.0 | 375336 | 1.8695 | {'f1': 0.8302370275464446} | {'accuracy': 0.7459252157238735} |
0.0506 | 937.0 | 375737 | 1.8224 | {'f1': 0.8363636363636364} | {'accuracy': 0.7497603068072867} |
0.0507 | 938.0 | 376138 | 1.4660 | {'f1': 0.8222365869424694} | {'accuracy': 0.7363374880153404} |
0.0468 | 939.0 | 376539 | 1.7886 | {'f1': 0.8268229166666667} | {'accuracy': 0.7449664429530202} |
0.0468 | 940.0 | 376940 | 1.6891 | {'f1': 0.8278481012658229} | {'accuracy': 0.7392138063279002} |
0.0502 | 941.0 | 377341 | 1.8587 | {'f1': 0.8294871794871795} | {'accuracy': 0.7449664429530202} |
0.0555 | 942.0 | 377742 | 1.6288 | {'f1': 0.8283870967741936} | {'accuracy': 0.7449664429530202} |
0.0552 | 943.0 | 378143 | 1.8918 | {'f1': 0.8338557993730408} | {'accuracy': 0.7459252157238735} |
0.0484 | 944.0 | 378544 | 1.6034 | {'f1': 0.8348045397225725} | {'accuracy': 0.7488015340364333} |
0.0484 | 945.0 | 378945 | 1.6004 | {'f1': 0.8313176320814768} | {'accuracy': 0.7459252157238735} |
0.0449 | 946.0 | 379346 | 1.7327 | {'f1': 0.8247422680412371} | {'accuracy': 0.7392138063279002} |
0.0547 | 947.0 | 379747 | 1.7965 | {'f1': 0.8366583541147131} | {'accuracy': 0.7488015340364333} |
0.0589 | 948.0 | 380148 | 1.8772 | {'f1': 0.8312342569269522} | {'accuracy': 0.7430488974113135} |
0.0467 | 949.0 | 380549 | 1.8667 | {'f1': 0.8309859154929577} | {'accuracy': 0.7468839884947267} |
0.0467 | 950.0 | 380950 | 1.7300 | {'f1': 0.8239116309291746} | {'accuracy': 0.7401725790987536} |
0.0531 | 951.0 | 381351 | 1.7394 | {'f1': 0.8316062176165803} | {'accuracy': 0.75071907957814} |
0.0549 | 952.0 | 381752 | 1.7380 | {'f1': 0.8256880733944955} | {'accuracy': 0.7449664429530202} |
0.0546 | 953.0 | 382153 | 1.6837 | {'f1': 0.8263624841571611} | {'accuracy': 0.7372962607861937} |
0.0494 | 954.0 | 382554 | 1.7504 | {'f1': 0.8331193838254173} | {'accuracy': 0.75071907957814} |
0.0494 | 955.0 | 382955 | 1.4391 | {'f1': 0.8391608391608393} | {'accuracy': 0.7574304889741131} |
0.0475 | 956.0 | 383356 | 1.9422 | {'f1': 0.8336495888678052} | {'accuracy': 0.74784276126558} |
0.0422 | 957.0 | 383757 | 1.7187 | {'f1': 0.8315926892950393} | {'accuracy': 0.7526366251198466} |
0.0509 | 958.0 | 384158 | 1.8770 | {'f1': 0.8409090909090908} | {'accuracy': 0.7583892617449665} |
0.0477 | 959.0 | 384559 | 1.8478 | {'f1': 0.8409090909090908} | {'accuracy': 0.7583892617449665} |
0.0477 | 960.0 | 384960 | 1.9650 | {'f1': 0.8310854206807964} | {'accuracy': 0.74784276126558} |
0.0491 | 961.0 | 385361 | 1.4039 | {'f1': 0.8290488431876606} | {'accuracy': 0.7449664429530202} |
0.0539 | 962.0 | 385762 | 1.3723 | {'f1': 0.841640378548896} | {'accuracy': 0.7593480345158198} |
0.0592 | 963.0 | 386163 | 1.8567 | {'f1': 0.8410636982065552} | {'accuracy': 0.7535953978907} |
0.0498 | 964.0 | 386564 | 1.8637 | {'f1': 0.826530612244898} | {'accuracy': 0.7392138063279002} |
0.0498 | 965.0 | 386965 | 1.9139 | {'f1': 0.8291457286432161} | {'accuracy': 0.7392138063279002} |
0.0644 | 966.0 | 387366 | 2.2817 | {'f1': 0.8256997455470738} | {'accuracy': 0.7372962607861937} |
0.0537 | 967.0 | 387767 | 1.7303 | {'f1': 0.8210116731517509} | {'accuracy': 0.7353787152444871} |
0.0514 | 968.0 | 388168 | 1.9495 | {'f1': 0.8285714285714286} | {'accuracy': 0.7468839884947267} |
0.0562 | 969.0 | 388569 | 2.0382 | {'f1': 0.8236808236808237} | {'accuracy': 0.7372962607861937} |
0.0562 | 970.0 | 388970 | 2.0543 | {'f1': 0.8268370607028754} | {'accuracy': 0.7401725790987536} |
0.0499 | 971.0 | 389371 | 1.5281 | {'f1': 0.8199335548172757} | {'accuracy': 0.7401725790987536} |
0.0509 | 972.0 | 389772 | 2.0791 | {'f1': 0.8371802869619464} | {'accuracy': 0.7497603068072867} |
0.0533 | 973.0 | 390173 | 1.8903 | {'f1': 0.834902699309479} | {'accuracy': 0.74784276126558} |
0.0627 | 974.0 | 390574 | 1.6441 | {'f1': 0.8245054243777918} | {'accuracy': 0.7363374880153404} |
0.0627 | 975.0 | 390975 | 1.8095 | {'f1': 0.8326848249027238} | {'accuracy': 0.7526366251198466} |
0.053 | 976.0 | 391376 | 1.5973 | {'f1': 0.8221498371335504} | {'accuracy': 0.738255033557047} |
0.0483 | 977.0 | 391777 | 1.7779 | {'f1': 0.8310387984981228} | {'accuracy': 0.7411313518696069} |
0.0508 | 978.0 | 392178 | 1.9869 | {'f1': 0.8371802869619464} | {'accuracy': 0.7497603068072867} |
0.0461 | 979.0 | 392579 | 1.8451 | {'f1': 0.8415164698570541} | {'accuracy': 0.7555129434324065} |
0.0461 | 980.0 | 392980 | 1.9804 | {'f1': 0.8317698561601} | {'accuracy': 0.7420901246404602} |
0.0474 | 981.0 | 393381 | 1.8535 | {'f1': 0.8329113924050634} | {'accuracy': 0.7468839884947267} |
0.0432 | 982.0 | 393782 | 1.7515 | {'f1': 0.8283485045513654} | {'accuracy': 0.7468839884947267} |
0.0404 | 983.0 | 394183 | 1.8558 | {'f1': 0.8338637810311904} | {'accuracy': 0.7497603068072867} |
0.0459 | 984.0 | 394584 | 1.8568 | {'f1': 0.8160103292446741} | {'accuracy': 0.7267497603068073} |
0.0459 | 985.0 | 394985 | 2.0867 | {'f1': 0.8314321926489228} | {'accuracy': 0.7449664429530202} |
0.0537 | 986.0 | 395386 | 1.8685 | {'f1': 0.8228423101881894} | {'accuracy': 0.738255033557047} |
0.0459 | 987.0 | 395787 | 1.8398 | {'f1': 0.8324808184143223} | {'accuracy': 0.7488015340364333} |
0.0473 | 988.0 | 396188 | 1.8249 | {'f1': 0.8293625241468126} | {'accuracy': 0.7459252157238735} |
0.0376 | 989.0 | 396589 | 1.8981 | {'f1': 0.8330134357005758} | {'accuracy': 0.7497603068072867} |
0.0376 | 990.0 | 396990 | 1.8566 | {'f1': 0.8285163776493256} | {'accuracy': 0.7440076701821668} |
0.0515 | 991.0 | 397391 | 2.0520 | {'f1': 0.8168089297439263} | {'accuracy': 0.7325023969319271} |
0.0473 | 992.0 | 397792 | 1.9624 | {'f1': 0.831824062095731} | {'accuracy': 0.75071907957814} |
0.0448 | 993.0 | 398193 | 1.7534 | {'f1': 0.836223506743738} | {'accuracy': 0.7555129434324065} |
0.051 | 994.0 | 398594 | 1.9407 | {'f1': 0.8350383631713555} | {'accuracy': 0.7526366251198466} |
0.051 | 995.0 | 398995 | 2.0456 | {'f1': 0.8267008985879333} | {'accuracy': 0.7411313518696069} |
0.0401 | 996.0 | 399396 | 1.8936 | {'f1': 0.8354430379746837} | {'accuracy': 0.75071907957814} |
0.0417 | 997.0 | 399797 | 2.1521 | {'f1': 0.8291457286432161} | {'accuracy': 0.7392138063279002} |
0.0474 | 998.0 | 400198 | 1.8679 | {'f1': 0.8367088607594937} | {'accuracy': 0.7526366251198466} |
0.0422 | 999.0 | 400599 | 1.8171 | {'f1': 0.8284789644012944} | {'accuracy': 0.7459252157238735} |
0.0387 | 1000.0 | 401000 | 2.0479 | {'f1': 0.8294573643410853} | {'accuracy': 0.7468839884947267} |
0.0387 | 1001.0 | 401401 | 1.9655 | {'f1': 0.8349267049075845} | {'accuracy': 0.7516778523489933} |
0.0399 | 1002.0 | 401802 | 1.9896 | {'f1': 0.8336544637122671} | {'accuracy': 0.7516778523489933} |
0.0401 | 1003.0 | 402203 | 2.0996 | {'f1': 0.8303341902313626} | {'accuracy': 0.7468839884947267} |
0.0447 | 1004.0 | 402604 | 1.9362 | {'f1': 0.8347055098163394} | {'accuracy': 0.7497603068072867} |
0.0459 | 1005.0 | 403005 | 1.9017 | {'f1': 0.8260309278350516} | {'accuracy': 0.7411313518696069} |
0.0459 | 1006.0 | 403406 | 1.9982 | {'f1': 0.8391521197007481} | {'accuracy': 0.7526366251198466} |
0.0414 | 1007.0 | 403807 | 1.8253 | {'f1': 0.834726688102894} | {'accuracy': 0.7535953978907} |
0.0454 | 1008.0 | 404208 | 1.5382 | {'f1': 0.8425096030729833} | {'accuracy': 0.7641418983700863} |
0.0496 | 1009.0 | 404609 | 2.0139 | {'f1': 0.8321543408360128} | {'accuracy': 0.7497603068072867} |
0.0397 | 1010.0 | 405010 | 1.9407 | {'f1': 0.8230719377835385} | {'accuracy': 0.738255033557047} |
0.0397 | 1011.0 | 405411 | 2.3346 | {'f1': 0.8286445012787724} | {'accuracy': 0.7430488974113135} |
0.0351 | 1012.0 | 405812 | 2.2790 | {'f1': 0.8296668761785041} | {'accuracy': 0.7401725790987536} |
0.0371 | 1013.0 | 406213 | 2.1803 | {'f1': 0.8155981493721084} | {'accuracy': 0.7325023969319271} |
0.0386 | 1014.0 | 406614 | 2.0979 | {'f1': 0.8133595284872297} | {'accuracy': 0.7267497603068073} |
0.0378 | 1015.0 | 407015 | 2.3163 | {'f1': 0.8133595284872297} | {'accuracy': 0.7267497603068073} |
0.0378 | 1016.0 | 407416 | 1.5949 | {'f1': 0.8145695364238411} | {'accuracy': 0.7315436241610739} |
0.0396 | 1017.0 | 407817 | 2.0203 | {'f1': 0.8380716934487022} | {'accuracy': 0.7488015340364333} |
0.0422 | 1018.0 | 408218 | 1.4970 | {'f1': 0.8274078862314156} | {'accuracy': 0.7440076701821668} |
0.0427 | 1019.0 | 408619 | 1.7483 | {'f1': 0.8308295231874592} | {'accuracy': 0.7516778523489933} |
0.0419 | 1020.0 | 409020 | 1.9940 | {'f1': 0.8418399495904222} | {'accuracy': 0.7593480345158198} |
0.0419 | 1021.0 | 409421 | 1.9882 | {'f1': 0.8311026131293818} | {'accuracy': 0.7459252157238735} |
0.0458 | 1022.0 | 409822 | 2.1333 | {'f1': 0.8312182741116751} | {'accuracy': 0.7449664429530202} |
0.0361 | 1023.0 | 410223 | 2.0099 | {'f1': 0.8260869565217391} | {'accuracy': 0.7392138063279002} |
0.0426 | 1024.0 | 410624 | 2.4057 | {'f1': 0.8315182575272262} | {'accuracy': 0.74784276126558} |
0.0366 | 1025.0 | 411025 | 1.8517 | {'f1': 0.8339719029374203} | {'accuracy': 0.75071907957814} |
0.0366 | 1026.0 | 411426 | 1.9566 | {'f1': 0.8303571428571429} | {'accuracy': 0.7449664429530202} |
0.0445 | 1027.0 | 411827 | 1.9391 | {'f1': 0.8300445576066201} | {'accuracy': 0.7440076701821668} |
0.0375 | 1028.0 | 412228 | 1.7986 | {'f1': 0.8306503541532518} | {'accuracy': 0.74784276126558} |
0.0482 | 1029.0 | 412629 | 2.2600 | {'f1': 0.8169200264375412} | {'accuracy': 0.7344199424736337} |
0.0417 | 1030.0 | 413030 | 1.9349 | {'f1': 0.8308870453095086} | {'accuracy': 0.7459252157238735} |
0.0417 | 1031.0 | 413431 | 1.8199 | {'f1': 0.8260869565217391} | {'accuracy': 0.7392138063279002} |
0.0434 | 1032.0 | 413832 | 1.8392 | {'f1': 0.8267868641339344} | {'accuracy': 0.7420901246404602} |
0.0378 | 1033.0 | 414233 | 2.0467 | {'f1': 0.8287363694676073} | {'accuracy': 0.7440076701821668} |
0.0478 | 1034.0 | 414634 | 1.9830 | {'f1': 0.8338637810311904} | {'accuracy': 0.7497603068072867} |
0.044 | 1035.0 | 415035 | 2.0118 | {'f1': 0.8354430379746837} | {'accuracy': 0.75071907957814} |
0.044 | 1036.0 | 415436 | 1.8267 | {'f1': 0.8259740259740261} | {'accuracy': 0.7430488974113135} |
0.0452 | 1037.0 | 415837 | 2.1524 | {'f1': 0.8294815740162399} | {'accuracy': 0.738255033557047} |
0.0401 | 1038.0 | 416238 | 2.1791 | {'f1': 0.8253968253968254} | {'accuracy': 0.7363374880153404} |
0.0324 | 1039.0 | 416639 | 2.0126 | {'f1': 0.824952259707193} | {'accuracy': 0.7363374880153404} |
0.0424 | 1040.0 | 417040 | 2.0584 | {'f1': 0.8207792207792208} | {'accuracy': 0.7353787152444871} |
0.0424 | 1041.0 | 417441 | 2.0091 | {'f1': 0.8282958199356913} | {'accuracy': 0.7440076701821668} |
0.0399 | 1042.0 | 417842 | 1.7455 | {'f1': 0.8360864040660737} | {'accuracy': 0.7526366251198466} |
0.0385 | 1043.0 | 418243 | 2.2168 | {'f1': 0.8326898326898327} | {'accuracy': 0.75071907957814} |
0.0413 | 1044.0 | 418644 | 2.0400 | {'f1': 0.8279845956354299} | {'accuracy': 0.7430488974113135} |
0.0441 | 1045.0 | 419045 | 2.1525 | {'f1': 0.8292063492063492} | {'accuracy': 0.7420901246404602} |
0.0441 | 1046.0 | 419446 | 2.0888 | {'f1': 0.8279009126466753} | {'accuracy': 0.7468839884947267} |
0.0458 | 1047.0 | 419847 | 1.8725 | {'f1': 0.8346253229974161} | {'accuracy': 0.7545541706615532} |
0.0491 | 1048.0 | 420248 | 1.7848 | {'f1': 0.8342857142857142} | {'accuracy': 0.7497603068072867} |
0.0415 | 1049.0 | 420649 | 2.0577 | {'f1': 0.8252740167633785} | {'accuracy': 0.7401725790987536} |
0.0401 | 1050.0 | 421050 | 1.8128 | {'f1': 0.8284625158831004} | {'accuracy': 0.7411313518696069} |
0.0401 | 1051.0 | 421451 | 2.0074 | {'f1': 0.824952259707193} | {'accuracy': 0.7363374880153404} |
0.0366 | 1052.0 | 421852 | 2.1711 | {'f1': 0.8292993630573249} | {'accuracy': 0.7430488974113135} |
0.0438 | 1053.0 | 422253 | 1.8598 | {'f1': 0.8210116731517509} | {'accuracy': 0.7353787152444871} |
0.046 | 1054.0 | 422654 | 1.7502 | {'f1': 0.8323699421965319} | {'accuracy': 0.7497603068072867} |
0.0445 | 1055.0 | 423055 | 1.9086 | {'f1': 0.8385876418663304} | {'accuracy': 0.7545541706615532} |
0.0445 | 1056.0 | 423456 | 1.8675 | {'f1': 0.8268082282680823} | {'accuracy': 0.7497603068072867} |
0.0435 | 1057.0 | 423857 | 1.8161 | {'f1': 0.8331143232588699} | {'accuracy': 0.7564717162032598} |
0.0406 | 1058.0 | 424258 | 2.0120 | {'f1': 0.8375634517766497} | {'accuracy': 0.7545541706615532} |
0.0383 | 1059.0 | 424659 | 1.7243 | {'f1': 0.8424396442185516} | {'accuracy': 0.7622243528283796} |
0.0458 | 1060.0 | 425060 | 2.0215 | {'f1': 0.8415716096324461} | {'accuracy': 0.7603068072866731} |
0.0458 | 1061.0 | 425461 | 1.9361 | {'f1': 0.8279499011206328} | {'accuracy': 0.7497603068072867} |
0.0402 | 1062.0 | 425862 | 2.1046 | {'f1': 0.8374760994263862} | {'accuracy': 0.7555129434324065} |
0.0272 | 1063.0 | 426263 | 2.0315 | {'f1': 0.8340750158931978} | {'accuracy': 0.7497603068072867} |
0.0475 | 1064.0 | 426664 | 2.1408 | {'f1': 0.8339622641509433} | {'accuracy': 0.7468839884947267} |
0.0327 | 1065.0 | 427065 | 1.7846 | {'f1': 0.8300907911802854} | {'accuracy': 0.7488015340364333} |
0.0327 | 1066.0 | 427466 | 2.0336 | {'f1': 0.8316195372750643} | {'accuracy': 0.7488015340364333} |
0.0417 | 1067.0 | 427867 | 2.1308 | {'f1': 0.8266666666666668} | {'accuracy': 0.738255033557047} |
0.0427 | 1068.0 | 428268 | 1.8253 | {'f1': 0.8303571428571429} | {'accuracy': 0.7449664429530202} |
0.038 | 1069.0 | 428669 | 1.9140 | {'f1': 0.8255591054313098} | {'accuracy': 0.738255033557047} |
0.0409 | 1070.0 | 429070 | 2.3088 | {'f1': 0.8303797468354431} | {'accuracy': 0.7430488974113135} |
0.0409 | 1071.0 | 429471 | 2.2927 | {'f1': 0.8332276474318325} | {'accuracy': 0.74784276126558} |
0.035 | 1072.0 | 429872 | 1.8840 | {'f1': 0.8314321926489228} | {'accuracy': 0.7449664429530202} |
0.0317 | 1073.0 | 430273 | 1.9991 | {'f1': 0.8285895003162556} | {'accuracy': 0.7401725790987536} |
0.0385 | 1074.0 | 430674 | 2.0446 | {'f1': 0.8279365079365079} | {'accuracy': 0.7401725790987536} |
0.0312 | 1075.0 | 431075 | 2.0173 | {'f1': 0.8257477243172952} | {'accuracy': 0.7430488974113135} |
0.0312 | 1076.0 | 431476 | 1.9649 | {'f1': 0.8257123923127899} | {'accuracy': 0.74784276126558} |
0.0382 | 1077.0 | 431877 | 1.9213 | {'f1': 0.828334396936822} | {'accuracy': 0.7420901246404602} |
0.0325 | 1078.0 | 432278 | 2.1540 | {'f1': 0.8330109606705353} | {'accuracy': 0.7516778523489933} |
0.036 | 1079.0 | 432679 | 2.0046 | {'f1': 0.8321358589157414} | {'accuracy': 0.7535953978907} |
0.032 | 1080.0 | 433080 | 1.9144 | {'f1': 0.8304093567251463} | {'accuracy': 0.7497603068072867} |
0.032 | 1081.0 | 433481 | 1.7965 | {'f1': 0.8331226295828066} | {'accuracy': 0.7468839884947267} |
0.0326 | 1082.0 | 433882 | 2.3401 | {'f1': 0.8340638697557922} | {'accuracy': 0.7459252157238735} |
0.0373 | 1083.0 | 434283 | 1.9951 | {'f1': 0.8366179275270186} | {'accuracy': 0.7535953978907} |
0.0354 | 1084.0 | 434684 | 1.8351 | {'f1': 0.8361581920903955} | {'accuracy': 0.7497603068072867} |
0.0379 | 1085.0 | 435085 | 1.7565 | {'f1': 0.8311195445920303} | {'accuracy': 0.7440076701821668} |
0.0379 | 1086.0 | 435486 | 2.0074 | {'f1': 0.827496757457847} | {'accuracy': 0.7449664429530202} |
0.0294 | 1087.0 | 435887 | 1.7062 | {'f1': 0.8351507376523413} | {'accuracy': 0.7535953978907} |
0.0399 | 1088.0 | 436288 | 2.0527 | {'f1': 0.8288288288288289} | {'accuracy': 0.7449664429530202} |
0.033 | 1089.0 | 436689 | 1.7937 | {'f1': 0.8333333333333333} | {'accuracy': 0.7488015340364333} |
0.0325 | 1090.0 | 437090 | 2.1899 | {'f1': 0.8218465539661899} | {'accuracy': 0.7372962607861937} |
0.0325 | 1091.0 | 437491 | 2.0416 | {'f1': 0.8346153846153845} | {'accuracy': 0.7526366251198466} |
0.0343 | 1092.0 | 437892 | 2.1439 | {'f1': 0.8117099135063207} | {'accuracy': 0.7286673058485139} |
0.036 | 1093.0 | 438293 | 2.0538 | {'f1': 0.8200890019071837} | {'accuracy': 0.7286673058485139} |
0.0322 | 1094.0 | 438694 | 2.0835 | {'f1': 0.8191978961209729} | {'accuracy': 0.7363374880153404} |
0.0289 | 1095.0 | 439095 | 2.1115 | {'f1': 0.8272318561335902} | {'accuracy': 0.7420901246404602} |
0.0289 | 1096.0 | 439496 | 2.0478 | {'f1': 0.8197368421052631} | {'accuracy': 0.7372962607861937} |
0.034 | 1097.0 | 439897 | 2.2200 | {'f1': 0.8237572627501615} | {'accuracy': 0.738255033557047} |
0.0279 | 1098.0 | 440298 | 2.1914 | {'f1': 0.825147347740668} | {'accuracy': 0.7440076701821668} |
0.0313 | 1099.0 | 440699 | 2.1082 | {'f1': 0.8311026131293818} | {'accuracy': 0.7459252157238735} |
0.0295 | 1100.0 | 441100 | 2.1718 | {'f1': 0.8235294117647058} | {'accuracy': 0.7411313518696069} |
0.0319 | 1101.0 | 441501 | 1.6767 | {'f1': 0.8283870967741936} | {'accuracy': 0.7449664429530202} |
0.0319 | 1102.0 | 441902 | 1.9520 | {'f1': 0.8229166666666666} | {'accuracy': 0.7392138063279002} |
0.0266 | 1103.0 | 442303 | 2.0818 | {'f1': 0.8239074550128535} | {'accuracy': 0.7372962607861937} |
0.0303 | 1104.0 | 442704 | 2.0768 | {'f1': 0.8201438848920863} | {'accuracy': 0.7363374880153404} |
0.0401 | 1105.0 | 443105 | 2.1110 | {'f1': 0.8216145833333334} | {'accuracy': 0.7372962607861937} |
0.0276 | 1106.0 | 443506 | 2.2895 | {'f1': 0.8267515923566878} | {'accuracy': 0.7392138063279002} |
0.0276 | 1107.0 | 443907 | 2.1953 | {'f1': 0.8209718670076727} | {'accuracy': 0.7315436241610739} |
0.0298 | 1108.0 | 444308 | 2.0686 | {'f1': 0.8286445012787724} | {'accuracy': 0.7430488974113135} |
0.0439 | 1109.0 | 444709 | 2.0133 | {'f1': 0.829733163913596} | {'accuracy': 0.7430488974113135} |
0.0317 | 1110.0 | 445110 | 1.6669 | {'f1': 0.8236074270557029} | {'accuracy': 0.7449664429530202} |
0.0368 | 1111.0 | 445511 | 1.9307 | {'f1': 0.824583866837388} | {'accuracy': 0.7372962607861937} |
0.0368 | 1112.0 | 445912 | 2.1902 | {'f1': 0.8193717277486912} | {'accuracy': 0.7353787152444871} |
0.0265 | 1113.0 | 446313 | 2.1701 | {'f1': 0.8236057068741893} | {'accuracy': 0.7392138063279002} |
0.0332 | 1114.0 | 446714 | 2.3489 | {'f1': 0.824952259707193} | {'accuracy': 0.7363374880153404} |
0.0282 | 1115.0 | 447115 | 1.8751 | {'f1': 0.8278950735764556} | {'accuracy': 0.7420901246404602} |
0.0333 | 1116.0 | 447516 | 2.3421 | {'f1': 0.8259212198221093} | {'accuracy': 0.7372962607861937} |
0.0333 | 1117.0 | 447917 | 2.0774 | {'f1': 0.831824062095731} | {'accuracy': 0.75071907957814} |
0.0276 | 1118.0 | 448318 | 2.0899 | {'f1': 0.8292063492063492} | {'accuracy': 0.7420901246404602} |
0.0365 | 1119.0 | 448719 | 1.8072 | {'f1': 0.8270096463022508} | {'accuracy': 0.7420901246404602} |
0.0288 | 1120.0 | 449120 | 2.1608 | {'f1': 0.8206131767775604} | {'accuracy': 0.7363374880153404} |
0.034 | 1121.0 | 449521 | 2.1162 | {'f1': 0.8348909657320873} | {'accuracy': 0.7459252157238735} |
0.034 | 1122.0 | 449922 | 1.9594 | {'f1': 0.8159268929503917} | {'accuracy': 0.7296260786193672} |
0.0375 | 1123.0 | 450323 | 1.8401 | {'f1': 0.8347160178685386} | {'accuracy': 0.7516778523489933} |
0.0319 | 1124.0 | 450724 | 2.3512 | {'f1': 0.8212435233160622} | {'accuracy': 0.7353787152444871} |
0.0217 | 1125.0 | 451125 | 1.8755 | {'f1': 0.8198837959974177} | {'accuracy': 0.7325023969319271} |
0.0278 | 1126.0 | 451526 | 2.3428 | {'f1': 0.8281938325991189} | {'accuracy': 0.738255033557047} |
0.0278 | 1127.0 | 451927 | 2.0704 | {'f1': 0.8227767114523353} | {'accuracy': 0.7344199424736337} |
0.0307 | 1128.0 | 452328 | 2.3593 | {'f1': 0.8218135700697528} | {'accuracy': 0.7305848513902206} |
0.0262 | 1129.0 | 452729 | 2.1589 | {'f1': 0.8315182575272262} | {'accuracy': 0.74784276126558} |
0.0284 | 1130.0 | 453130 | 2.1384 | {'f1': 0.8233766233766234} | {'accuracy': 0.7392138063279002} |
0.024 | 1131.0 | 453531 | 2.2453 | {'f1': 0.8287714831317633} | {'accuracy': 0.7420901246404602} |
0.024 | 1132.0 | 453932 | 2.1603 | {'f1': 0.8224661071659135} | {'accuracy': 0.7363374880153404} |
0.0247 | 1133.0 | 454333 | 2.1675 | {'f1': 0.8300192431045542} | {'accuracy': 0.7459252157238735} |
0.0288 | 1134.0 | 454734 | 2.0671 | {'f1': 0.8266841072596469} | {'accuracy': 0.7459252157238735} |
0.0247 | 1135.0 | 455135 | 2.0866 | {'f1': 0.8284409654272668} | {'accuracy': 0.74784276126558} |
0.0244 | 1136.0 | 455536 | 2.5004 | {'f1': 0.8364544319600501} | {'accuracy': 0.7488015340364333} |
0.0244 | 1137.0 | 455937 | 1.8364 | {'f1': 0.8258899676375405} | {'accuracy': 0.7420901246404602} |
0.0277 | 1138.0 | 456338 | 2.0476 | {'f1': 0.8149134487350199} | {'accuracy': 0.7334611697027804} |
0.0233 | 1139.0 | 456739 | 2.2254 | {'f1': 0.8193717277486912} | {'accuracy': 0.7353787152444871} |
0.0251 | 1140.0 | 457140 | 2.3250 | {'f1': 0.8329113924050634} | {'accuracy': 0.7468839884947267} |
0.0285 | 1141.0 | 457541 | 1.7710 | {'f1': 0.8298807281858129} | {'accuracy': 0.7401725790987536} |
0.0285 | 1142.0 | 457942 | 2.1800 | {'f1': 0.8258642765685019} | {'accuracy': 0.7392138063279002} |
0.0355 | 1143.0 | 458343 | 2.1469 | {'f1': 0.8341836734693877} | {'accuracy': 0.75071907957814} |
0.0264 | 1144.0 | 458744 | 2.2840 | {'f1': 0.8303571428571429} | {'accuracy': 0.7449664429530202} |
0.0341 | 1145.0 | 459145 | 2.3483 | {'f1': 0.8258642765685019} | {'accuracy': 0.7392138063279002} |
0.0262 | 1146.0 | 459546 | 2.1728 | {'f1': 0.8344958782498415} | {'accuracy': 0.7497603068072867} |
0.0262 | 1147.0 | 459947 | 2.1554 | {'f1': 0.8356867779204109} | {'accuracy': 0.7545541706615532} |
0.0192 | 1148.0 | 460348 | 2.2331 | {'f1': 0.827766863130321} | {'accuracy': 0.74784276126558} |
0.0251 | 1149.0 | 460749 | 1.7875 | {'f1': 0.8100595632031767} | {'accuracy': 0.7248322147651006} |
0.0336 | 1150.0 | 461150 | 1.7772 | {'f1': 0.8302130406714009} | {'accuracy': 0.74784276126558} |
0.0255 | 1151.0 | 461551 | 2.4571 | {'f1': 0.8197146562905318} | {'accuracy': 0.7334611697027804} |
0.0255 | 1152.0 | 461952 | 1.9385 | {'f1': 0.8333333333333333} | {'accuracy': 0.75071907957814} |
0.0251 | 1153.0 | 462353 | 2.0240 | {'f1': 0.831824062095731} | {'accuracy': 0.75071907957814} |
0.0315 | 1154.0 | 462754 | 2.1138 | {'f1': 0.822295081967213} | {'accuracy': 0.7401725790987536} |
0.0285 | 1155.0 | 463155 | 1.8479 | {'f1': 0.8338637810311904} | {'accuracy': 0.7497603068072867} |
0.0289 | 1156.0 | 463556 | 1.7001 | {'f1': 0.8423772609819122} | {'accuracy': 0.7660594439117929} |
0.0289 | 1157.0 | 463957 | 1.9604 | {'f1': 0.8299674267100977} | {'accuracy': 0.7497603068072867} |
0.0253 | 1158.0 | 464358 | 1.9619 | {'f1': 0.8274078862314156} | {'accuracy': 0.7440076701821668} |
0.0244 | 1159.0 | 464759 | 1.8949 | {'f1': 0.8300907911802854} | {'accuracy': 0.7488015340364333} |
0.0313 | 1160.0 | 465160 | 2.1597 | {'f1': 0.8286082474226804} | {'accuracy': 0.7449664429530202} |
0.0261 | 1161.0 | 465561 | 1.9821 | {'f1': 0.8255591054313098} | {'accuracy': 0.738255033557047} |
0.0261 | 1162.0 | 465962 | 2.1857 | {'f1': 0.8176431863067807} | {'accuracy': 0.7344199424736337} |
0.029 | 1163.0 | 466363 | 2.1166 | {'f1': 0.8387909319899244} | {'accuracy': 0.7545541706615532} |
0.0261 | 1164.0 | 466764 | 1.8483 | {'f1': 0.8328035600762874} | {'accuracy': 0.74784276126558} |
0.0351 | 1165.0 | 467165 | 2.3461 | {'f1': 0.8400503778337531} | {'accuracy': 0.7564717162032598} |
0.0307 | 1166.0 | 467566 | 1.8958 | {'f1': 0.8302130406714009} | {'accuracy': 0.74784276126558} |
0.0307 | 1167.0 | 467967 | 2.2515 | {'f1': 0.8396756082345601} | {'accuracy': 0.7535953978907} |
0.032 | 1168.0 | 468368 | 2.0415 | {'f1': 0.8245161290322582} | {'accuracy': 0.7392138063279002} |
0.0261 | 1169.0 | 468769 | 2.1267 | {'f1': 0.8290544771446462} | {'accuracy': 0.738255033557047} |
0.0252 | 1170.0 | 469170 | 1.9581 | {'f1': 0.8351920693928129} | {'accuracy': 0.7449664429530202} |
0.0282 | 1171.0 | 469571 | 2.2856 | {'f1': 0.8324873096446701} | {'accuracy': 0.7468839884947267} |
0.0282 | 1172.0 | 469972 | 1.5806 | {'f1': 0.8210526315789474} | {'accuracy': 0.7392138063279002} |
0.0282 | 1173.0 | 470373 | 2.1697 | {'f1': 0.8278061224489797} | {'accuracy': 0.7411313518696069} |
0.0257 | 1174.0 | 470774 | 2.0497 | {'f1': 0.8205128205128205} | {'accuracy': 0.7315436241610739} |
0.0284 | 1175.0 | 471175 | 2.0062 | {'f1': 0.8239116309291746} | {'accuracy': 0.7401725790987536} |
0.0247 | 1176.0 | 471576 | 2.0744 | {'f1': 0.8295528191834091} | {'accuracy': 0.74784276126558} |
0.0247 | 1177.0 | 471977 | 2.0644 | {'f1': 0.8282958199356913} | {'accuracy': 0.7440076701821668} |
0.0246 | 1178.0 | 472378 | 1.9425 | {'f1': 0.8264462809917356} | {'accuracy': 0.738255033557047} |
0.0258 | 1179.0 | 472779 | 2.0111 | {'f1': 0.826115061409179} | {'accuracy': 0.7420901246404602} |
0.0301 | 1180.0 | 473180 | 2.0453 | {'f1': 0.8275409836065574} | {'accuracy': 0.74784276126558} |
0.0249 | 1181.0 | 473581 | 2.1908 | {'f1': 0.8126259234385493} | {'accuracy': 0.7325023969319271} |
0.0249 | 1182.0 | 473982 | 2.1434 | {'f1': 0.8273145108338806} | {'accuracy': 0.74784276126558} |
0.0287 | 1183.0 | 474383 | 2.2395 | {'f1': 0.8293625241468126} | {'accuracy': 0.7459252157238735} |
0.0278 | 1184.0 | 474784 | 2.1147 | {'f1': 0.8288288288288289} | {'accuracy': 0.7449664429530202} |
0.0227 | 1185.0 | 475185 | 2.2722 | {'f1': 0.8314028314028314} | {'accuracy': 0.7488015340364333} |
0.0291 | 1186.0 | 475586 | 2.0488 | {'f1': 0.8289557975656631} | {'accuracy': 0.7440076701821668} |
0.0291 | 1187.0 | 475987 | 1.8904 | {'f1': 0.827319587628866} | {'accuracy': 0.7430488974113135} |
0.0301 | 1188.0 | 476388 | 2.1522 | {'f1': 0.8287007110536523} | {'accuracy': 0.7459252157238735} |
0.0202 | 1189.0 | 476789 | 2.1699 | {'f1': 0.8250950570342205} | {'accuracy': 0.7353787152444871} |
0.0249 | 1190.0 | 477190 | 2.3452 | {'f1': 0.822695035460993} | {'accuracy': 0.7363374880153404} |
0.0236 | 1191.0 | 477591 | 2.4132 | {'f1': 0.827852998065764} | {'accuracy': 0.7440076701821668} |
0.0236 | 1192.0 | 477992 | 2.0993 | {'f1': 0.8315182575272262} | {'accuracy': 0.74784276126558} |
0.0227 | 1193.0 | 478393 | 2.2398 | {'f1': 0.8291424887169568} | {'accuracy': 0.7459252157238735} |
0.0238 | 1194.0 | 478794 | 1.9529 | {'f1': 0.8253557567917206} | {'accuracy': 0.7411313518696069} |
0.0307 | 1195.0 | 479195 | 2.0647 | {'f1': 0.8091091761553918} | {'accuracy': 0.7267497603068073} |
0.0365 | 1196.0 | 479596 | 2.3431 | {'f1': 0.8255813953488373} | {'accuracy': 0.7411313518696069} |
0.0365 | 1197.0 | 479997 | 2.2097 | {'f1': 0.8286082474226804} | {'accuracy': 0.7449664429530202} |
0.0216 | 1198.0 | 480398 | 2.1333 | {'f1': 0.827992151733159} | {'accuracy': 0.74784276126558} |
0.0256 | 1199.0 | 480799 | 1.9393 | {'f1': 0.8303863785199739} | {'accuracy': 0.7516778523489933} |
0.0285 | 1200.0 | 481200 | 1.9451 | {'f1': 0.8297734627831717} | {'accuracy': 0.74784276126558} |
0.0213 | 1201.0 | 481601 | 1.7346 | {'f1': 0.8365019011406846} | {'accuracy': 0.7526366251198466} |
0.0305 | 1202.0 | 482002 | 1.7965 | {'f1': 0.8330134357005758} | {'accuracy': 0.7497603068072867} |
0.0305 | 1203.0 | 482403 | 1.8949 | {'f1': 0.8317214700193424} | {'accuracy': 0.7497603068072867} |
0.0243 | 1204.0 | 482804 | 1.7339 | {'f1': 0.841300191204589} | {'accuracy': 0.7612655800575263} |
0.0231 | 1205.0 | 483205 | 2.2375 | {'f1': 0.8381430363864492} | {'accuracy': 0.7526366251198466} |
0.0194 | 1206.0 | 483606 | 2.0505 | {'f1': 0.8333333333333333} | {'accuracy': 0.7488015340364333} |
0.0268 | 1207.0 | 484007 | 2.1140 | {'f1': 0.8307692307692308} | {'accuracy': 0.7468839884947267} |
0.0268 | 1208.0 | 484408 | 1.9601 | {'f1': 0.829800899165061} | {'accuracy': 0.7459252157238735} |
0.0226 | 1209.0 | 484809 | 1.8860 | {'f1': 0.8444722048719551} | {'accuracy': 0.7612655800575263} |
0.0308 | 1210.0 | 485210 | 2.2254 | {'f1': 0.8300907911802854} | {'accuracy': 0.7488015340364333} |
0.0278 | 1211.0 | 485611 | 2.1704 | {'f1': 0.8331210191082803} | {'accuracy': 0.7488015340364333} |
0.0255 | 1212.0 | 486012 | 2.3606 | {'f1': 0.8342785129174544} | {'accuracy': 0.74784276126558} |
0.0255 | 1213.0 | 486413 | 2.3387 | {'f1': 0.8385053831538949} | {'accuracy': 0.7555129434324065} |
0.0247 | 1214.0 | 486814 | 2.0505 | {'f1': 0.8343868520859672} | {'accuracy': 0.7488015340364333} |
0.0266 | 1215.0 | 487215 | 1.7528 | {'f1': 0.8310854206807964} | {'accuracy': 0.74784276126558} |
0.0192 | 1216.0 | 487616 | 2.2197 | {'f1': 0.8278481012658229} | {'accuracy': 0.7392138063279002} |
0.0291 | 1217.0 | 488017 | 2.1230 | {'f1': 0.8309239472030169} | {'accuracy': 0.7420901246404602} |
0.0291 | 1218.0 | 488418 | 2.4172 | {'f1': 0.8248366013071896} | {'accuracy': 0.7430488974113135} |
0.0161 | 1219.0 | 488819 | 2.2132 | {'f1': 0.8315182575272262} | {'accuracy': 0.74784276126558} |
0.0262 | 1220.0 | 489220 | 1.9892 | {'f1': 0.8259473346178547} | {'accuracy': 0.7401725790987536} |
0.0289 | 1221.0 | 489621 | 2.0739 | {'f1': 0.8275418275418275} | {'accuracy': 0.7430488974113135} |
0.0221 | 1222.0 | 490022 | 2.3933 | {'f1': 0.8264781491002571} | {'accuracy': 0.7411313518696069} |
0.0221 | 1223.0 | 490423 | 2.2494 | {'f1': 0.8200129954515919} | {'accuracy': 0.7344199424736337} |
0.0277 | 1224.0 | 490824 | 1.8523 | {'f1': 0.8221649484536082} | {'accuracy': 0.7353787152444871} |
0.0246 | 1225.0 | 491225 | 2.2038 | {'f1': 0.8284250960307298} | {'accuracy': 0.7430488974113135} |
0.0231 | 1226.0 | 491626 | 2.2008 | {'f1': 0.8266154830454254} | {'accuracy': 0.7401725790987536} |
0.0249 | 1227.0 | 492027 | 1.8870 | {'f1': 0.8335435056746532} | {'accuracy': 0.7468839884947267} |
0.0249 | 1228.0 | 492428 | 2.1120 | {'f1': 0.8248222365869425} | {'accuracy': 0.7401725790987536} |
0.0283 | 1229.0 | 492829 | 2.0279 | {'f1': 0.8315457413249213} | {'accuracy': 0.7440076701821668} |
0.0218 | 1230.0 | 493230 | 1.9758 | {'f1': 0.8336495888678052} | {'accuracy': 0.74784276126558} |
0.0189 | 1231.0 | 493631 | 1.9250 | {'f1': 0.8310854206807964} | {'accuracy': 0.74784276126558} |
0.0257 | 1232.0 | 494032 | 1.9373 | {'f1': 0.8336495888678052} | {'accuracy': 0.74784276126558} |
0.0257 | 1233.0 | 494433 | 2.0483 | {'f1': 0.8260869565217391} | {'accuracy': 0.7468839884947267} |
0.0271 | 1234.0 | 494834 | 2.1123 | {'f1': 0.829827915869981} | {'accuracy': 0.7440076701821668} |
0.0279 | 1235.0 | 495235 | 2.1992 | {'f1': 0.8211488250652741} | {'accuracy': 0.7372962607861937} |
0.0219 | 1236.0 | 495636 | 1.9800 | {'f1': 0.8379396984924623} | {'accuracy': 0.7526366251198466} |
0.0261 | 1237.0 | 496037 | 2.0731 | {'f1': 0.8381317978246962} | {'accuracy': 0.7574304889741131} |
0.0261 | 1238.0 | 496438 | 2.0687 | {'f1': 0.8330109606705353} | {'accuracy': 0.7516778523489933} |
0.0196 | 1239.0 | 496839 | 2.4971 | {'f1': 0.8191489361702128} | {'accuracy': 0.7392138063279002} |
0.0244 | 1240.0 | 497240 | 2.1966 | {'f1': 0.8314899154196486} | {'accuracy': 0.7516778523489933} |
0.0272 | 1241.0 | 497641 | 2.2883 | {'f1': 0.8341772151898734} | {'accuracy': 0.7488015340364333} |
0.0264 | 1242.0 | 498042 | 2.2568 | {'f1': 0.833659491193738} | {'accuracy': 0.7555129434324065} |
0.0264 | 1243.0 | 498443 | 2.3431 | {'f1': 0.8334413480233311} | {'accuracy': 0.7535953978907} |
0.0277 | 1244.0 | 498844 | 2.0661 | {'f1': 0.8376288659793815} | {'accuracy': 0.7583892617449665} |
0.0234 | 1245.0 | 499245 | 2.2805 | {'f1': 0.8357276702061213} | {'accuracy': 0.74784276126558} |
0.0251 | 1246.0 | 499646 | 2.3498 | {'f1': 0.8238375900458415} | {'accuracy': 0.7420901246404602} |
0.0217 | 1247.0 | 500047 | 2.0087 | {'f1': 0.8278580814717477} | {'accuracy': 0.7488015340364333} |
0.0217 | 1248.0 | 500448 | 2.0331 | {'f1': 0.8287937743190662} | {'accuracy': 0.7468839884947267} |
0.0222 | 1249.0 | 500849 | 1.7764 | {'f1': 0.8247694334650855} | {'accuracy': 0.7449664429530202} |
0.0287 | 1250.0 | 501250 | 1.8921 | {'f1': 0.8314176245210728} | {'accuracy': 0.7468839884947267} |
0.0265 | 1251.0 | 501651 | 2.3134 | {'f1': 0.8148639681486396} | {'accuracy': 0.7325023969319271} |
0.0188 | 1252.0 | 502052 | 2.1177 | {'f1': 0.8307493540051678} | {'accuracy': 0.7488015340364333} |
0.0188 | 1253.0 | 502453 | 2.1209 | {'f1': 0.8343949044585988} | {'accuracy': 0.75071907957814} |
0.0267 | 1254.0 | 502854 | 2.2433 | {'f1': 0.8299935358758889} | {'accuracy': 0.74784276126558} |
0.023 | 1255.0 | 503255 | 1.9853 | {'f1': 0.823841059602649} | {'accuracy': 0.7449664429530202} |
0.0304 | 1256.0 | 503656 | 2.2564 | {'f1': 0.8362944162436549} | {'accuracy': 0.7526366251198466} |
0.0204 | 1257.0 | 504057 | 2.2115 | {'f1': 0.8314321926489228} | {'accuracy': 0.7449664429530202} |
0.0204 | 1258.0 | 504458 | 2.4560 | {'f1': 0.8285895003162556} | {'accuracy': 0.7401725790987536} |
0.0198 | 1259.0 | 504859 | 2.1401 | {'f1': 0.8288874430709173} | {'accuracy': 0.74784276126558} |
0.0236 | 1260.0 | 505260 | 2.3204 | {'f1': 0.8337595907928389} | {'accuracy': 0.75071907957814} |
0.0255 | 1261.0 | 505661 | 2.1924 | {'f1': 0.8315041962556489} | {'accuracy': 0.7497603068072867} |
0.0238 | 1262.0 | 506062 | 2.3210 | {'f1': 0.8319697923222151} | {'accuracy': 0.7440076701821668} |
0.0238 | 1263.0 | 506463 | 1.9838 | {'f1': 0.8239116309291746} | {'accuracy': 0.7401725790987536} |
0.0251 | 1264.0 | 506864 | 2.2084 | {'f1': 0.8219354838709678} | {'accuracy': 0.7353787152444871} |
0.0224 | 1265.0 | 507265 | 2.2475 | {'f1': 0.8188453881884538} | {'accuracy': 0.738255033557047} |
0.0185 | 1266.0 | 507666 | 2.1923 | {'f1': 0.8292682926829268} | {'accuracy': 0.738255033557047} |
0.0249 | 1267.0 | 508067 | 1.8119 | {'f1': 0.8334380892520427} | {'accuracy': 0.7459252157238735} |
0.0249 | 1268.0 | 508468 | 2.1861 | {'f1': 0.8340865074241447} | {'accuracy': 0.7535953978907} |
0.0241 | 1269.0 | 508869 | 2.4227 | {'f1': 0.8379396984924623} | {'accuracy': 0.7526366251198466} |
0.0248 | 1270.0 | 509270 | 2.1900 | {'f1': 0.8326898326898327} | {'accuracy': 0.75071907957814} |
0.0196 | 1271.0 | 509671 | 2.2512 | {'f1': 0.8326947637292466} | {'accuracy': 0.7488015340364333} |
0.0227 | 1272.0 | 510072 | 1.9323 | {'f1': 0.834293026231606} | {'accuracy': 0.7516778523489933} |
0.0227 | 1273.0 | 510473 | 2.0886 | {'f1': 0.8200270635994588} | {'accuracy': 0.7449664429530202} |
0.0228 | 1274.0 | 510874 | 2.0640 | {'f1': 0.8248366013071896} | {'accuracy': 0.7430488974113135} |
0.0195 | 1275.0 | 511275 | 2.1154 | {'f1': 0.8274111675126904} | {'accuracy': 0.7392138063279002} |
0.0284 | 1276.0 | 511676 | 2.1029 | {'f1': 0.8329048843187661} | {'accuracy': 0.75071907957814} |
0.0195 | 1277.0 | 512077 | 2.0365 | {'f1': 0.8373298768632534} | {'accuracy': 0.7593480345158198} |
0.0195 | 1278.0 | 512478 | 2.2650 | {'f1': 0.8351368555060471} | {'accuracy': 0.7516778523489933} |
0.0213 | 1279.0 | 512879 | 2.5130 | {'f1': 0.8301647655259823} | {'accuracy': 0.7430488974113135} |
0.0139 | 1280.0 | 513280 | 2.0023 | {'f1': 0.8262548262548263} | {'accuracy': 0.7411313518696069} |
0.0212 | 1281.0 | 513681 | 1.9178 | {'f1': 0.8333333333333333} | {'accuracy': 0.75071907957814} |
0.0123 | 1282.0 | 514082 | 2.3301 | {'f1': 0.8314028314028314} | {'accuracy': 0.7488015340364333} |
0.0123 | 1283.0 | 514483 | 2.1285 | {'f1': 0.8295165394402036} | {'accuracy': 0.7430488974113135} |
0.0201 | 1284.0 | 514884 | 2.3112 | {'f1': 0.8336520076481836} | {'accuracy': 0.7497603068072867} |
0.0172 | 1285.0 | 515285 | 1.7911 | {'f1': 0.8333333333333334} | {'accuracy': 0.7545541706615532} |
0.0273 | 1286.0 | 515686 | 1.8670 | {'f1': 0.8244473342002602} | {'accuracy': 0.7411313518696069} |
0.0149 | 1287.0 | 516087 | 2.3021 | {'f1': 0.8400770712909442} | {'accuracy': 0.7612655800575263} |
0.0149 | 1288.0 | 516488 | 2.0444 | {'f1': 0.8286644951140065} | {'accuracy': 0.74784276126558} |
0.0218 | 1289.0 | 516889 | 2.0311 | {'f1': 0.8324937027707808} | {'accuracy': 0.7449664429530202} |
0.0157 | 1290.0 | 517290 | 1.9750 | {'f1': 0.8287581699346405} | {'accuracy': 0.7488015340364333} |
0.0161 | 1291.0 | 517691 | 2.1697 | {'f1': 0.8322663252240717} | {'accuracy': 0.7488015340364333} |
0.0204 | 1292.0 | 518092 | 2.2885 | {'f1': 0.8417037507946599} | {'accuracy': 0.7612655800575263} |
0.0204 | 1293.0 | 518493 | 2.2275 | {'f1': 0.8414948453608248} | {'accuracy': 0.7641418983700863} |
0.0175 | 1294.0 | 518894 | 2.3260 | {'f1': 0.8238341968911918} | {'accuracy': 0.7392138063279002} |
0.0163 | 1295.0 | 519295 | 2.5628 | {'f1': 0.831758034026465} | {'accuracy': 0.7440076701821668} |
0.0186 | 1296.0 | 519696 | 2.2618 | {'f1': 0.8352788586251622} | {'accuracy': 0.7564717162032598} |
0.0183 | 1297.0 | 520097 | 1.9587 | {'f1': 0.8347375243033053} | {'accuracy': 0.7555129434324065} |
0.0183 | 1298.0 | 520498 | 2.1325 | {'f1': 0.8344958782498415} | {'accuracy': 0.7497603068072867} |
0.0211 | 1299.0 | 520899 | 1.9821 | {'f1': 0.8252740167633785} | {'accuracy': 0.7401725790987536} |
0.022 | 1300.0 | 521300 | 2.1052 | {'f1': 0.8342785129174544} | {'accuracy': 0.74784276126558} |
0.0226 | 1301.0 | 521701 | 2.1452 | {'f1': 0.8275418275418275} | {'accuracy': 0.7430488974113135} |
0.0222 | 1302.0 | 522102 | 2.3962 | {'f1': 0.8169200264375412} | {'accuracy': 0.7344199424736337} |
0.0179 | 1303.0 | 522503 | 2.4732 | {'f1': 0.8255813953488373} | {'accuracy': 0.7411313518696069} |
0.0179 | 1304.0 | 522904 | 2.4542 | {'f1': 0.8264781491002571} | {'accuracy': 0.7411313518696069} |
0.0212 | 1305.0 | 523305 | 2.3747 | {'f1': 0.8258391386953768} | {'accuracy': 0.7363374880153404} |
0.0169 | 1306.0 | 523706 | 2.2222 | {'f1': 0.8285714285714286} | {'accuracy': 0.7468839884947267} |
0.0146 | 1307.0 | 524107 | 2.0356 | {'f1': 0.8362919132149903} | {'accuracy': 0.7612655800575263} |
0.0158 | 1308.0 | 524508 | 2.2574 | {'f1': 0.8250319284802042} | {'accuracy': 0.7372962607861937} |
0.0158 | 1309.0 | 524909 | 2.1803 | {'f1': 0.8331210191082803} | {'accuracy': 0.7488015340364333} |
0.0219 | 1310.0 | 525310 | 1.9685 | {'f1': 0.8321722609246357} | {'accuracy': 0.7459252157238735} |
0.0209 | 1311.0 | 525711 | 2.1649 | {'f1': 0.8322903629536921} | {'accuracy': 0.7430488974113135} |
0.0162 | 1312.0 | 526112 | 2.2466 | {'f1': 0.8300192431045542} | {'accuracy': 0.7459252157238735} |
0.0162 | 1313.0 | 526513 | 2.1672 | {'f1': 0.832274459974587} | {'accuracy': 0.7468839884947267} |
0.0162 | 1314.0 | 526914 | 2.2840 | {'f1': 0.8319594166138238} | {'accuracy': 0.7459252157238735} |
0.0197 | 1315.0 | 527315 | 2.2938 | {'f1': 0.8304093567251463} | {'accuracy': 0.7497603068072867} |
0.0157 | 1316.0 | 527716 | 2.2573 | {'f1': 0.8350649350649352} | {'accuracy': 0.7564717162032598} |
0.0183 | 1317.0 | 528117 | 2.2786 | {'f1': 0.8300653594771241} | {'accuracy': 0.75071907957814} |
0.0121 | 1318.0 | 528518 | 2.4642 | {'f1': 0.8320413436692506} | {'accuracy': 0.75071907957814} |
0.0121 | 1319.0 | 528919 | 2.0655 | {'f1': 0.8389134554643083} | {'accuracy': 0.7555129434324065} |
0.0191 | 1320.0 | 529320 | 2.0353 | {'f1': 0.8310854206807964} | {'accuracy': 0.74784276126558} |
0.0181 | 1321.0 | 529721 | 2.2717 | {'f1': 0.8274111675126904} | {'accuracy': 0.7392138063279002} |
0.0211 | 1322.0 | 530122 | 2.4642 | {'f1': 0.8326947637292466} | {'accuracy': 0.7488015340364333} |
0.0195 | 1323.0 | 530523 | 2.3501 | {'f1': 0.8268864933417883} | {'accuracy': 0.738255033557047} |
0.0195 | 1324.0 | 530924 | 2.3431 | {'f1': 0.8369426751592357} | {'accuracy': 0.7545541706615532} |
0.0242 | 1325.0 | 531325 | 2.1629 | {'f1': 0.840378548895899} | {'accuracy': 0.7574304889741131} |
0.0214 | 1326.0 | 531726 | 2.3598 | {'f1': 0.8340750158931978} | {'accuracy': 0.7497603068072867} |
0.0254 | 1327.0 | 532127 | 2.3479 | {'f1': 0.8309305373525558} | {'accuracy': 0.7526366251198466} |
0.0152 | 1328.0 | 532528 | 2.2900 | {'f1': 0.8343004513217279} | {'accuracy': 0.7535953978907} |
0.0152 | 1329.0 | 532929 | 2.3538 | {'f1': 0.8313021167415009} | {'accuracy': 0.74784276126558} |
0.0133 | 1330.0 | 533330 | 2.1949 | {'f1': 0.8299748110831233} | {'accuracy': 0.7411313518696069} |
0.0207 | 1331.0 | 533731 | 2.4447 | {'f1': 0.8245270711024136} | {'accuracy': 0.7420901246404602} |
0.0201 | 1332.0 | 534132 | 2.5238 | {'f1': 0.8293929712460064} | {'accuracy': 0.7440076701821668} |
0.0133 | 1333.0 | 534533 | 2.2451 | {'f1': 0.827720207253886} | {'accuracy': 0.7449664429530202} |
0.0133 | 1334.0 | 534934 | 2.3539 | {'f1': 0.833859759949463} | {'accuracy': 0.74784276126558} |
0.0183 | 1335.0 | 535335 | 2.0576 | {'f1': 0.8294930875576036} | {'accuracy': 0.7516778523489933} |
0.0209 | 1336.0 | 535736 | 2.3898 | {'f1': 0.8372686662412252} | {'accuracy': 0.7555129434324065} |
0.0203 | 1337.0 | 536137 | 2.2349 | {'f1': 0.8429217840982547} | {'accuracy': 0.7670182166826462} |
0.0161 | 1338.0 | 536538 | 2.2458 | {'f1': 0.8346055979643766} | {'accuracy': 0.75071907957814} |
0.0161 | 1339.0 | 536939 | 2.2747 | {'f1': 0.8113207547169812} | {'accuracy': 0.7315436241610739} |
0.0135 | 1340.0 | 537340 | 2.1130 | {'f1': 0.8340694006309148} | {'accuracy': 0.74784276126558} |
0.0177 | 1341.0 | 537741 | 1.9802 | {'f1': 0.834403080872914} | {'accuracy': 0.7526366251198466} |
0.0169 | 1342.0 | 538142 | 2.2030 | {'f1': 0.8314899154196486} | {'accuracy': 0.7516778523489933} |
0.019 | 1343.0 | 538543 | 2.4209 | {'f1': 0.832908163265306} | {'accuracy': 0.7488015340364333} |
0.019 | 1344.0 | 538944 | 2.6522 | {'f1': 0.8216355441081779} | {'accuracy': 0.7344199424736337} |
0.0141 | 1345.0 | 539345 | 2.0643 | {'f1': 0.8326947637292466} | {'accuracy': 0.7488015340364333} |
0.0152 | 1346.0 | 539746 | 2.4329 | {'f1': 0.8304761904761905} | {'accuracy': 0.7440076701821668} |
0.0156 | 1347.0 | 540147 | 2.4906 | {'f1': 0.8288633461047253} | {'accuracy': 0.7430488974113135} |
0.0169 | 1348.0 | 540548 | 2.6073 | {'f1': 0.8287153652392948} | {'accuracy': 0.7392138063279002} |
0.0169 | 1349.0 | 540949 | 2.2232 | {'f1': 0.8265971316818774} | {'accuracy': 0.7449664429530202} |
0.0166 | 1350.0 | 541350 | 1.9587 | {'f1': 0.8291139240506329} | {'accuracy': 0.7411313518696069} |
0.0147 | 1351.0 | 541751 | 2.2473 | {'f1': 0.8313176320814768} | {'accuracy': 0.7459252157238735} |
0.0191 | 1352.0 | 542152 | 2.0964 | {'f1': 0.8295165394402036} | {'accuracy': 0.7430488974113135} |
0.0151 | 1353.0 | 542553 | 1.8425 | {'f1': 0.8299492385786802} | {'accuracy': 0.7430488974113135} |
0.0151 | 1354.0 | 542954 | 2.1392 | {'f1': 0.8251121076233184} | {'accuracy': 0.738255033557047} |
0.0138 | 1355.0 | 543355 | 2.3261 | {'f1': 0.826530612244898} | {'accuracy': 0.7392138063279002} |
0.0132 | 1356.0 | 543756 | 2.2175 | {'f1': 0.8110964332892998} | {'accuracy': 0.725790987535954} |
0.0168 | 1357.0 | 544157 | 2.5470 | {'f1': 0.8267170762444864} | {'accuracy': 0.7363374880153404} |
0.0136 | 1358.0 | 544558 | 2.5444 | {'f1': 0.8125819134993446} | {'accuracy': 0.725790987535954} |
0.0136 | 1359.0 | 544959 | 2.1716 | {'f1': 0.8190104166666666} | {'accuracy': 0.7334611697027804} |
0.0214 | 1360.0 | 545360 | 2.3067 | {'f1': 0.8310214375788146} | {'accuracy': 0.7430488974113135} |
0.0161 | 1361.0 | 545761 | 2.2575 | {'f1': 0.8279009126466753} | {'accuracy': 0.7468839884947267} |
0.0134 | 1362.0 | 546162 | 2.4202 | {'f1': 0.8236048749198204} | {'accuracy': 0.7363374880153404} |
0.0138 | 1363.0 | 546563 | 2.7025 | {'f1': 0.8278021289918598} | {'accuracy': 0.7363374880153404} |
0.0138 | 1364.0 | 546964 | 2.2089 | {'f1': 0.8251295336787564} | {'accuracy': 0.7411313518696069} |
0.0151 | 1365.0 | 547365 | 2.2094 | {'f1': 0.8337531486146096} | {'accuracy': 0.7468839884947267} |
0.0188 | 1366.0 | 547766 | 2.3831 | {'f1': 0.8336495888678052} | {'accuracy': 0.74784276126558} |
0.0149 | 1367.0 | 548167 | 2.4837 | {'f1': 0.8335451080050826} | {'accuracy': 0.7488015340364333} |
0.0149 | 1368.0 | 548568 | 2.4871 | {'f1': 0.8292993630573249} | {'accuracy': 0.7430488974113135} |
0.0149 | 1369.0 | 548969 | 2.2712 | {'f1': 0.8289891926255561} | {'accuracy': 0.7420901246404602} |
0.0146 | 1370.0 | 549370 | 2.2060 | {'f1': 0.8285163776493256} | {'accuracy': 0.7440076701821668} |
0.0152 | 1371.0 | 549771 | 2.1056 | {'f1': 0.8309677419354838} | {'accuracy': 0.7488015340364333} |
0.0175 | 1372.0 | 550172 | 2.2266 | {'f1': 0.8322981366459627} | {'accuracy': 0.7411313518696069} |
0.0147 | 1373.0 | 550573 | 2.2462 | {'f1': 0.8282566429034349} | {'accuracy': 0.7459252157238735} |
0.0147 | 1374.0 | 550974 | 2.2850 | {'f1': 0.8291770573566085} | {'accuracy': 0.7372962607861937} |
0.0189 | 1375.0 | 551375 | 2.2098 | {'f1': 0.8323699421965319} | {'accuracy': 0.7497603068072867} |
0.0178 | 1376.0 | 551776 | 1.9975 | {'f1': 0.8260038240917783} | {'accuracy': 0.738255033557047} |
0.0157 | 1377.0 | 552177 | 2.4179 | {'f1': 0.8299232736572889} | {'accuracy': 0.7449664429530202} |
0.012 | 1378.0 | 552578 | 2.1510 | {'f1': 0.834726688102894} | {'accuracy': 0.7535953978907} |
0.012 | 1379.0 | 552979 | 2.1921 | {'f1': 0.8341772151898734} | {'accuracy': 0.7488015340364333} |
0.0169 | 1380.0 | 553380 | 2.0823 | {'f1': 0.8328981723237598} | {'accuracy': 0.7545541706615532} |
0.0151 | 1381.0 | 553781 | 2.2972 | {'f1': 0.8286082474226804} | {'accuracy': 0.7449664429530202} |
0.0191 | 1382.0 | 554182 | 2.4458 | {'f1': 0.8318584070796461} | {'accuracy': 0.7449664429530202} |
0.0144 | 1383.0 | 554583 | 2.3381 | {'f1': 0.8290488431876606} | {'accuracy': 0.7449664429530202} |
0.0144 | 1384.0 | 554984 | 2.1075 | {'f1': 0.8159468438538205} | {'accuracy': 0.7344199424736337} |
0.0206 | 1385.0 | 555385 | 2.3354 | {'f1': 0.8355726167626361} | {'accuracy': 0.7535953978907} |
0.0157 | 1386.0 | 555786 | 2.1504 | {'f1': 0.8186046511627907} | {'accuracy': 0.738255033557047} |
0.0172 | 1387.0 | 556187 | 2.1727 | {'f1': 0.8367088607594937} | {'accuracy': 0.7526366251198466} |
0.0087 | 1388.0 | 556588 | 2.3450 | {'f1': 0.8310038119440915} | {'accuracy': 0.7449664429530202} |
0.0087 | 1389.0 | 556989 | 2.4706 | {'f1': 0.8414481897627966} | {'accuracy': 0.7564717162032598} |
0.0134 | 1390.0 | 557390 | 2.1680 | {'f1': 0.8226120857699806} | {'accuracy': 0.738255033557047} |
0.016 | 1391.0 | 557791 | 2.2512 | {'f1': 0.8281150159744408} | {'accuracy': 0.7420901246404602} |
0.0211 | 1392.0 | 558192 | 2.2836 | {'f1': 0.8325849903784478} | {'accuracy': 0.7497603068072867} |
0.0189 | 1393.0 | 558593 | 2.2882 | {'f1': 0.8312182741116751} | {'accuracy': 0.7449664429530202} |
0.0189 | 1394.0 | 558994 | 2.2169 | {'f1': 0.833756345177665} | {'accuracy': 0.7488015340364333} |
0.0198 | 1395.0 | 559395 | 2.0391 | {'f1': 0.8333333333333333} | {'accuracy': 0.7449664429530202} |
0.017 | 1396.0 | 559796 | 2.2678 | {'f1': 0.8267515923566878} | {'accuracy': 0.7392138063279002} |
0.0148 | 1397.0 | 560197 | 2.2377 | {'f1': 0.8311026131293818} | {'accuracy': 0.7459252157238735} |
0.0146 | 1398.0 | 560598 | 2.1479 | {'f1': 0.8304542546385157} | {'accuracy': 0.7459252157238735} |
0.0146 | 1399.0 | 560999 | 2.2161 | {'f1': 0.8171052631578947} | {'accuracy': 0.7334611697027804} |
0.0156 | 1400.0 | 561400 | 2.2413 | {'f1': 0.8282566429034349} | {'accuracy': 0.7459252157238735} |
0.0158 | 1401.0 | 561801 | 2.1428 | {'f1': 0.8298969072164948} | {'accuracy': 0.7468839884947267} |
0.0152 | 1402.0 | 562202 | 2.2739 | {'f1': 0.8310038119440915} | {'accuracy': 0.7449664429530202} |
0.0135 | 1403.0 | 562603 | 2.1586 | {'f1': 0.8274509803921569} | {'accuracy': 0.7468839884947267} |
0.0173 | 1404.0 | 563004 | 2.3640 | {'f1': 0.8333333333333333} | {'accuracy': 0.7488015340364333} |
0.0173 | 1405.0 | 563405 | 2.1089 | {'f1': 0.8267716535433071} | {'accuracy': 0.7468839884947267} |
0.011 | 1406.0 | 563806 | 2.4176 | {'f1': 0.8320610687022901} | {'accuracy': 0.7468839884947267} |
0.0156 | 1407.0 | 564207 | 2.5272 | {'f1': 0.8278950735764556} | {'accuracy': 0.7420901246404602} |
0.0082 | 1408.0 | 564608 | 2.5365 | {'f1': 0.8291424887169568} | {'accuracy': 0.7459252157238735} |
0.0107 | 1409.0 | 565009 | 2.2477 | {'f1': 0.831270358306189} | {'accuracy': 0.7516778523489933} |
0.0107 | 1410.0 | 565410 | 2.3145 | {'f1': 0.8357641090678504} | {'accuracy': 0.7516778523489933} |
0.0171 | 1411.0 | 565811 | 2.3733 | {'f1': 0.8269230769230769} | {'accuracy': 0.7411313518696069} |
0.0172 | 1412.0 | 566212 | 2.4639 | {'f1': 0.829109811565952} | {'accuracy': 0.74784276126558} |
0.0167 | 1413.0 | 566613 | 2.2847 | {'f1': 0.8245161290322582} | {'accuracy': 0.7392138063279002} |
0.0132 | 1414.0 | 567014 | 2.4261 | {'f1': 0.8341772151898734} | {'accuracy': 0.7488015340364333} |
0.0132 | 1415.0 | 567415 | 2.2446 | {'f1': 0.8292682926829269} | {'accuracy': 0.7516778523489933} |
0.0154 | 1416.0 | 567816 | 2.2487 | {'f1': 0.8376830044557607} | {'accuracy': 0.7555129434324065} |
0.0116 | 1417.0 | 568217 | 2.3641 | {'f1': 0.8289557975656631} | {'accuracy': 0.7440076701821668} |
0.0135 | 1418.0 | 568618 | 2.2029 | {'f1': 0.8343079922027291} | {'accuracy': 0.7555129434324065} |
0.0129 | 1419.0 | 569019 | 2.6628 | {'f1': 0.8288973384030417} | {'accuracy': 0.7411313518696069} |
0.0129 | 1420.0 | 569420 | 2.4173 | {'f1': 0.8384663733500944} | {'accuracy': 0.7535953978907} |
0.0153 | 1421.0 | 569821 | 2.5045 | {'f1': 0.8307888040712469} | {'accuracy': 0.7449664429530202} |
0.0179 | 1422.0 | 570222 | 2.6604 | {'f1': 0.8319488817891375} | {'accuracy': 0.74784276126558} |
0.0111 | 1423.0 | 570623 | 2.1191 | {'f1': 0.8341836734693877} | {'accuracy': 0.75071907957814} |
0.0195 | 1424.0 | 571024 | 2.0659 | {'f1': 0.8338678640153945} | {'accuracy': 0.7516778523489933} |
0.0195 | 1425.0 | 571425 | 2.4067 | {'f1': 0.8245161290322582} | {'accuracy': 0.7392138063279002} |
0.0136 | 1426.0 | 571826 | 2.5091 | {'f1': 0.8217054263565892} | {'accuracy': 0.7353787152444871} |
0.0107 | 1427.0 | 572227 | 1.6932 | {'f1': 0.8239895697522815} | {'accuracy': 0.7411313518696069} |
0.0149 | 1428.0 | 572628 | 2.4026 | {'f1': 0.8353312302839118} | {'accuracy': 0.7497603068072867} |
0.0126 | 1429.0 | 573029 | 2.2117 | {'f1': 0.8249180327868852} | {'accuracy': 0.7440076701821668} |
0.0126 | 1430.0 | 573430 | 2.4085 | {'f1': 0.8221498371335504} | {'accuracy': 0.738255033557047} |
0.0104 | 1431.0 | 573831 | 2.3849 | {'f1': 0.8255208333333333} | {'accuracy': 0.7430488974113135} |
0.0105 | 1432.0 | 574232 | 2.0794 | {'f1': 0.8276745675848817} | {'accuracy': 0.7420901246404602} |
0.0104 | 1433.0 | 574633 | 2.4360 | {'f1': 0.8301404853128992} | {'accuracy': 0.7449664429530202} |
0.0113 | 1434.0 | 575034 | 2.4210 | {'f1': 0.8263707571801565} | {'accuracy': 0.7449664429530202} |
0.0113 | 1435.0 | 575435 | 2.3157 | {'f1': 0.8330084470435347} | {'accuracy': 0.7535953978907} |
0.0142 | 1436.0 | 575836 | 2.3088 | {'f1': 0.8314028314028314} | {'accuracy': 0.7488015340364333} |
0.0108 | 1437.0 | 576237 | 2.4176 | {'f1': 0.8350649350649352} | {'accuracy': 0.7564717162032598} |
0.0115 | 1438.0 | 576638 | 1.9995 | {'f1': 0.8289557975656631} | {'accuracy': 0.7440076701821668} |
0.0146 | 1439.0 | 577039 | 1.8799 | {'f1': 0.832901554404145} | {'accuracy': 0.7526366251198466} |
0.0146 | 1440.0 | 577440 | 2.1014 | {'f1': 0.8358974358974359} | {'accuracy': 0.7545541706615532} |
0.0119 | 1441.0 | 577841 | 2.4673 | {'f1': 0.8349267049075845} | {'accuracy': 0.7516778523489933} |
0.0105 | 1442.0 | 578242 | 2.1858 | {'f1': 0.8337628865979381} | {'accuracy': 0.7526366251198466} |
0.0153 | 1443.0 | 578643 | 2.5232 | {'f1': 0.8313878080415046} | {'accuracy': 0.75071907957814} |
0.0093 | 1444.0 | 579044 | 2.5259 | {'f1': 0.8369497830130194} | {'accuracy': 0.74784276126558} |
0.0093 | 1445.0 | 579445 | 2.1977 | {'f1': 0.8399487836107554} | {'accuracy': 0.7603068072866731} |
0.0154 | 1446.0 | 579846 | 2.2186 | {'f1': 0.8267358857884491} | {'accuracy': 0.7440076701821668} |
0.0116 | 1447.0 | 580247 | 2.3791 | {'f1': 0.8299935358758889} | {'accuracy': 0.74784276126558} |
0.0107 | 1448.0 | 580648 | 2.0429 | {'f1': 0.8343156516044532} | {'accuracy': 0.7574304889741131} |
0.0151 | 1449.0 | 581049 | 2.0489 | {'f1': 0.8283870967741936} | {'accuracy': 0.7449664429530202} |
0.0151 | 1450.0 | 581450 | 2.2200 | {'f1': 0.8305304010349288} | {'accuracy': 0.7488015340364333} |
0.0167 | 1451.0 | 581851 | 2.4740 | {'f1': 0.8315457413249213} | {'accuracy': 0.7440076701821668} |
0.0088 | 1452.0 | 582252 | 2.3081 | {'f1': 0.8311855670103093} | {'accuracy': 0.7488015340364333} |
0.0103 | 1453.0 | 582653 | 1.8291 | {'f1': 0.8275418275418275} | {'accuracy': 0.7430488974113135} |
0.0183 | 1454.0 | 583054 | 2.0062 | {'f1': 0.8215931533903883} | {'accuracy': 0.7401725790987536} |
0.0183 | 1455.0 | 583455 | 2.0697 | {'f1': 0.8335500650195059} | {'accuracy': 0.7545541706615532} |
0.0147 | 1456.0 | 583856 | 2.3095 | {'f1': 0.8308681672025723} | {'accuracy': 0.74784276126558} |
0.0093 | 1457.0 | 584257 | 2.3770 | {'f1': 0.8287937743190662} | {'accuracy': 0.7468839884947267} |
0.0101 | 1458.0 | 584658 | 2.0539 | {'f1': 0.8288874430709173} | {'accuracy': 0.74784276126558} |
0.0143 | 1459.0 | 585059 | 2.3108 | {'f1': 0.83502538071066} | {'accuracy': 0.75071907957814} |
0.0143 | 1460.0 | 585460 | 2.1947 | {'f1': 0.8380952380952381} | {'accuracy': 0.7555129434324065} |
0.0192 | 1461.0 | 585861 | 2.2704 | {'f1': 0.8218997361477572} | {'accuracy': 0.7411313518696069} |
0.011 | 1462.0 | 586262 | 2.5194 | {'f1': 0.83011583011583} | {'accuracy': 0.7468839884947267} |
0.0103 | 1463.0 | 586663 | 2.5173 | {'f1': 0.8340694006309148} | {'accuracy': 0.74784276126558} |
0.0083 | 1464.0 | 587064 | 2.5439 | {'f1': 0.832908163265306} | {'accuracy': 0.7488015340364333} |
0.0083 | 1465.0 | 587465 | 2.1878 | {'f1': 0.8242894056847546} | {'accuracy': 0.7392138063279002} |
0.0092 | 1466.0 | 587866 | 2.4524 | {'f1': 0.8313329121920405} | {'accuracy': 0.7440076701821668} |
0.0133 | 1467.0 | 588267 | 2.1188 | {'f1': 0.8312020460358057} | {'accuracy': 0.7468839884947267} |
0.0141 | 1468.0 | 588668 | 2.4474 | {'f1': 0.8352638352638353} | {'accuracy': 0.7545541706615532} |
0.0129 | 1469.0 | 589069 | 1.9551 | {'f1': 0.8387096774193549} | {'accuracy': 0.7555129434324065} |
0.0129 | 1470.0 | 589470 | 2.3131 | {'f1': 0.8349267049075845} | {'accuracy': 0.7516778523489933} |
0.0101 | 1471.0 | 589871 | 2.3512 | {'f1': 0.8397435897435898} | {'accuracy': 0.7603068072866731} |
0.0088 | 1472.0 | 590272 | 2.4684 | {'f1': 0.8381430363864492} | {'accuracy': 0.7526366251198466} |
0.0082 | 1473.0 | 590673 | 2.1014 | {'f1': 0.8421717171717172} | {'accuracy': 0.7603068072866731} |
0.0109 | 1474.0 | 591074 | 1.8630 | {'f1': 0.8434343434343433} | {'accuracy': 0.7622243528283796} |
0.0109 | 1475.0 | 591475 | 2.0074 | {'f1': 0.826259946949602} | {'accuracy': 0.7488015340364333} |
0.0158 | 1476.0 | 591876 | 2.3408 | {'f1': 0.8402061855670104} | {'accuracy': 0.7622243528283796} |
0.0075 | 1477.0 | 592277 | 2.2864 | {'f1': 0.8304542546385157} | {'accuracy': 0.7459252157238735} |
0.0109 | 1478.0 | 592678 | 2.3775 | {'f1': 0.8346153846153845} | {'accuracy': 0.7526366251198466} |
0.0107 | 1479.0 | 593079 | 2.1878 | {'f1': 0.8272727272727274} | {'accuracy': 0.7449664429530202} |
0.0107 | 1480.0 | 593480 | 2.4102 | {'f1': 0.8318471337579618} | {'accuracy': 0.7468839884947267} |
0.0098 | 1481.0 | 593881 | 2.5005 | {'f1': 0.8324742268041238} | {'accuracy': 0.75071907957814} |
0.011 | 1482.0 | 594282 | 2.0799 | {'f1': 0.8289557975656631} | {'accuracy': 0.7440076701821668} |
0.0148 | 1483.0 | 594683 | 2.2567 | {'f1': 0.8413705583756345} | {'accuracy': 0.7603068072866731} |
0.008 | 1484.0 | 595084 | 2.0435 | {'f1': 0.836340206185567} | {'accuracy': 0.7564717162032598} |
0.008 | 1485.0 | 595485 | 2.4089 | {'f1': 0.8315182575272262} | {'accuracy': 0.74784276126558} |
0.0113 | 1486.0 | 595886 | 2.5054 | {'f1': 0.8373570520965693} | {'accuracy': 0.7545541706615532} |
0.015 | 1487.0 | 596287 | 2.4271 | {'f1': 0.835538752362949} | {'accuracy': 0.7497603068072867} |
0.0085 | 1488.0 | 596688 | 2.2932 | {'f1': 0.8360864040660737} | {'accuracy': 0.7526366251198466} |
0.0119 | 1489.0 | 597089 | 2.1042 | {'f1': 0.8392405063291138} | {'accuracy': 0.7564717162032598} |
0.0119 | 1490.0 | 597490 | 2.6881 | {'f1': 0.834902699309479} | {'accuracy': 0.74784276126558} |
0.0068 | 1491.0 | 597891 | 2.4182 | {'f1': 0.8376830044557607} | {'accuracy': 0.7555129434324065} |
0.009 | 1492.0 | 598292 | 2.2172 | {'f1': 0.8401768793430195} | {'accuracy': 0.7574304889741131} |
0.011 | 1493.0 | 598693 | 2.1645 | {'f1': 0.8328035600762874} | {'accuracy': 0.74784276126558} |
0.0094 | 1494.0 | 599094 | 2.3467 | {'f1': 0.8332243296272074} | {'accuracy': 0.7555129434324065} |
0.0094 | 1495.0 | 599495 | 2.5180 | {'f1': 0.8297055057618438} | {'accuracy': 0.7449664429530202} |
0.0116 | 1496.0 | 599896 | 2.4348 | {'f1': 0.8276745675848817} | {'accuracy': 0.7420901246404602} |
0.0137 | 1497.0 | 600297 | 2.5046 | {'f1': 0.8272251308900525} | {'accuracy': 0.7468839884947267} |
0.0115 | 1498.0 | 600698 | 2.2747 | {'f1': 0.832274459974587} | {'accuracy': 0.7468839884947267} |
0.0133 | 1499.0 | 601099 | 2.3392 | {'f1': 0.8305304010349288} | {'accuracy': 0.7488015340364333} |
0.012 | 1500.0 | 601500 | 2.4719 | {'f1': 0.82736974262398} | {'accuracy': 0.7363374880153404} |
0.012 | 1501.0 | 601901 | 2.4903 | {'f1': 0.8222506393861893} | {'accuracy': 0.7334611697027804} |
0.0081 | 1502.0 | 602302 | 2.0449 | {'f1': 0.8243589743589743} | {'accuracy': 0.7372962607861937} |
0.0095 | 1503.0 | 602703 | 2.2911 | {'f1': 0.8230719377835385} | {'accuracy': 0.738255033557047} |
0.0068 | 1504.0 | 603104 | 2.3930 | {'f1': 0.831938184159691} | {'accuracy': 0.7497603068072867} |
0.0151 | 1505.0 | 603505 | 1.9769 | {'f1': 0.8291424887169568} | {'accuracy': 0.7459252157238735} |
0.0151 | 1506.0 | 603906 | 2.1522 | {'f1': 0.8317214700193424} | {'accuracy': 0.7497603068072867} |
0.0106 | 1507.0 | 604307 | 2.4132 | {'f1': 0.8282958199356913} | {'accuracy': 0.7440076701821668} |
0.0077 | 1508.0 | 604708 | 2.1838 | {'f1': 0.8276745675848817} | {'accuracy': 0.7420901246404602} |
0.0132 | 1509.0 | 605109 | 2.1400 | {'f1': 0.8301886792452831} | {'accuracy': 0.7497603068072867} |
0.0072 | 1510.0 | 605510 | 1.8728 | {'f1': 0.8300907911802854} | {'accuracy': 0.7488015340364333} |
0.0072 | 1511.0 | 605911 | 1.8480 | {'f1': 0.835820895522388} | {'accuracy': 0.7574304889741131} |
0.012 | 1512.0 | 606312 | 2.3675 | {'f1': 0.8339719029374203} | {'accuracy': 0.75071907957814} |
0.0102 | 1513.0 | 606713 | 2.2101 | {'f1': 0.8349146110056926} | {'accuracy': 0.7497603068072867} |
0.0109 | 1514.0 | 607114 | 2.3728 | {'f1': 0.8329113924050634} | {'accuracy': 0.7468839884947267} |
0.011 | 1515.0 | 607515 | 2.1239 | {'f1': 0.8263473053892215} | {'accuracy': 0.7497603068072867} |
0.011 | 1516.0 | 607916 | 2.4084 | {'f1': 0.8333333333333333} | {'accuracy': 0.7488015340364333} |
0.01 | 1517.0 | 608317 | 2.4570 | {'f1': 0.83409238776838} | {'accuracy': 0.7555129434324065} |
0.0066 | 1518.0 | 608718 | 2.5883 | {'f1': 0.8387909319899244} | {'accuracy': 0.7545541706615532} |
0.0092 | 1519.0 | 609119 | 2.1005 | {'f1': 0.8402822322001283} | {'accuracy': 0.7612655800575263} |
0.0128 | 1520.0 | 609520 | 2.2988 | {'f1': 0.8348271446862997} | {'accuracy': 0.7526366251198466} |
0.0128 | 1521.0 | 609921 | 2.4674 | {'f1': 0.8392857142857142} | {'accuracy': 0.7583892617449665} |
0.0084 | 1522.0 | 610322 | 2.3848 | {'f1': 0.839821314613912} | {'accuracy': 0.7593480345158198} |
0.0073 | 1523.0 | 610723 | 2.4157 | {'f1': 0.8356687898089172} | {'accuracy': 0.7526366251198466} |
0.0111 | 1524.0 | 611124 | 2.5074 | {'f1': 0.8345864661654135} | {'accuracy': 0.7468839884947267} |
0.0144 | 1525.0 | 611525 | 2.0932 | {'f1': 0.8310679611650486} | {'accuracy': 0.7497603068072867} |
0.0144 | 1526.0 | 611926 | 2.2411 | {'f1': 0.8386683738796414} | {'accuracy': 0.7583892617449665} |
0.0088 | 1527.0 | 612327 | 2.3980 | {'f1': 0.8347055098163394} | {'accuracy': 0.7497603068072867} |
0.008 | 1528.0 | 612728 | 2.4182 | {'f1': 0.8356867779204109} | {'accuracy': 0.7545541706615532} |
0.0084 | 1529.0 | 613129 | 2.3841 | {'f1': 0.8420382165605096} | {'accuracy': 0.7622243528283796} |
0.011 | 1530.0 | 613530 | 2.5537 | {'f1': 0.8387096774193549} | {'accuracy': 0.7555129434324065} |
0.011 | 1531.0 | 613931 | 2.1922 | {'f1': 0.8404868673926971} | {'accuracy': 0.7612655800575263} |
0.0127 | 1532.0 | 614332 | 2.2234 | {'f1': 0.8397435897435898} | {'accuracy': 0.7603068072866731} |
0.0112 | 1533.0 | 614733 | 2.0402 | {'f1': 0.8365261813537676} | {'accuracy': 0.7545541706615532} |
0.0099 | 1534.0 | 615134 | 2.4584 | {'f1': 0.8392857142857142} | {'accuracy': 0.7583892617449665} |
0.0111 | 1535.0 | 615535 | 2.1772 | {'f1': 0.8414481897627966} | {'accuracy': 0.7564717162032598} |
0.0111 | 1536.0 | 615936 | 2.1437 | {'f1': 0.8390879478827362} | {'accuracy': 0.763183125599233} |
0.0137 | 1537.0 | 616337 | 2.1388 | {'f1': 0.8359522313010685} | {'accuracy': 0.7497603068072867} |
0.0105 | 1538.0 | 616738 | 2.2335 | {'f1': 0.8427753023551878} | {'accuracy': 0.763183125599233} |
0.0081 | 1539.0 | 617139 | 2.2384 | {'f1': 0.8434946574481458} | {'accuracy': 0.7612655800575263} |
0.0088 | 1540.0 | 617540 | 1.8035 | {'f1': 0.8338720103425986} | {'accuracy': 0.7535953978907} |
0.0088 | 1541.0 | 617941 | 2.2136 | {'f1': 0.8329048843187661} | {'accuracy': 0.75071907957814} |
0.0123 | 1542.0 | 618342 | 2.2958 | {'f1': 0.8292682926829269} | {'accuracy': 0.7516778523489933} |
0.0099 | 1543.0 | 618743 | 2.1537 | {'f1': 0.8385449904275686} | {'accuracy': 0.7574304889741131} |
0.0096 | 1544.0 | 619144 | 2.1160 | {'f1': 0.8348157560355782} | {'accuracy': 0.75071907957814} |
0.0107 | 1545.0 | 619545 | 2.2831 | {'f1': 0.8387507966857872} | {'accuracy': 0.7574304889741131} |
0.0107 | 1546.0 | 619946 | 2.3361 | {'f1': 0.8390804597701149} | {'accuracy': 0.7583892617449665} |
0.0074 | 1547.0 | 620347 | 2.4081 | {'f1': 0.8356164383561643} | {'accuracy': 0.7468839884947267} |
0.0101 | 1548.0 | 620748 | 2.4343 | {'f1': 0.8332276474318325} | {'accuracy': 0.74784276126558} |
0.0094 | 1549.0 | 621149 | 2.3422 | {'f1': 0.8401768793430195} | {'accuracy': 0.7574304889741131} |
0.01 | 1550.0 | 621550 | 2.2897 | {'f1': 0.834726688102894} | {'accuracy': 0.7535953978907} |
0.01 | 1551.0 | 621951 | 2.5493 | {'f1': 0.8367088607594937} | {'accuracy': 0.7526366251198466} |
0.008 | 1552.0 | 622352 | 2.1688 | {'f1': 0.8405063291139242} | {'accuracy': 0.7583892617449665} |
0.013 | 1553.0 | 622753 | 2.5384 | {'f1': 0.8411801632140615} | {'accuracy': 0.7574304889741131} |
0.0085 | 1554.0 | 623154 | 2.2767 | {'f1': 0.8401253918495297} | {'accuracy': 0.7555129434324065} |
0.0111 | 1555.0 | 623555 | 2.1120 | {'f1': 0.8415094339622642} | {'accuracy': 0.7583892617449665} |
0.0111 | 1556.0 | 623956 | 2.3020 | {'f1': 0.8350125944584383} | {'accuracy': 0.7488015340364333} |
0.0091 | 1557.0 | 624357 | 2.2317 | {'f1': 0.8396946564885497} | {'accuracy': 0.7583892617449665} |
0.0126 | 1558.0 | 624758 | 2.4643 | {'f1': 0.8378548895899053} | {'accuracy': 0.7535953978907} |
0.0107 | 1559.0 | 625159 | 2.4495 | {'f1': 0.8346055979643766} | {'accuracy': 0.75071907957814} |
0.0065 | 1560.0 | 625560 | 2.4634 | {'f1': 0.83322601416613} | {'accuracy': 0.7516778523489933} |
0.0065 | 1561.0 | 625961 | 2.7013 | {'f1': 0.8374760994263862} | {'accuracy': 0.7555129434324065} |
0.0061 | 1562.0 | 626362 | 2.3126 | {'f1': 0.8334413480233311} | {'accuracy': 0.7535953978907} |
0.0097 | 1563.0 | 626763 | 2.2587 | {'f1': 0.8358974358974359} | {'accuracy': 0.7545541706615532} |
0.0131 | 1564.0 | 627164 | 2.6240 | {'f1': 0.8303571428571429} | {'accuracy': 0.7449664429530202} |
0.0062 | 1565.0 | 627565 | 2.5113 | {'f1': 0.8320312500000001} | {'accuracy': 0.7526366251198466} |
0.0062 | 1566.0 | 627966 | 2.7554 | {'f1': 0.8357457520453115} | {'accuracy': 0.7497603068072867} |
0.0069 | 1567.0 | 628367 | 2.4550 | {'f1': 0.8375080282594733} | {'accuracy': 0.7574304889741131} |
0.0094 | 1568.0 | 628768 | 2.6335 | {'f1': 0.8309677419354838} | {'accuracy': 0.7488015340364333} |
0.0091 | 1569.0 | 629169 | 2.5512 | {'f1': 0.8380462724935733} | {'accuracy': 0.7583892617449665} |
0.0086 | 1570.0 | 629570 | 2.4633 | {'f1': 0.8342785129174544} | {'accuracy': 0.74784276126558} |
0.0086 | 1571.0 | 629971 | 2.4943 | {'f1': 0.8368253968253969} | {'accuracy': 0.7535953978907} |
0.0079 | 1572.0 | 630372 | 2.3871 | {'f1': 0.8356867779204109} | {'accuracy': 0.7545541706615532} |
0.0086 | 1573.0 | 630773 | 2.3118 | {'f1': 0.8377693282636249} | {'accuracy': 0.7545541706615532} |
0.0142 | 1574.0 | 631174 | 2.3579 | {'f1': 0.836340206185567} | {'accuracy': 0.7564717162032598} |
0.0081 | 1575.0 | 631575 | 2.4121 | {'f1': 0.8347375243033053} | {'accuracy': 0.7555129434324065} |
0.0081 | 1576.0 | 631976 | 2.3331 | {'f1': 0.84} | {'accuracy': 0.7622243528283796} |
0.0085 | 1577.0 | 632377 | 2.2221 | {'f1': 0.8435897435897436} | {'accuracy': 0.7660594439117929} |
0.01 | 1578.0 | 632778 | 2.2301 | {'f1': 0.8393316195372751} | {'accuracy': 0.7603068072866731} |
0.0083 | 1579.0 | 633179 | 2.4267 | {'f1': 0.8392056374119155} | {'accuracy': 0.7593480345158198} |
0.01 | 1580.0 | 633580 | 2.4569 | {'f1': 0.8438495857233907} | {'accuracy': 0.7651006711409396} |
0.01 | 1581.0 | 633981 | 2.2953 | {'f1': 0.8392857142857142} | {'accuracy': 0.7583892617449665} |
0.0104 | 1582.0 | 634382 | 2.4875 | {'f1': 0.8419721871049306} | {'accuracy': 0.7603068072866731} |
0.007 | 1583.0 | 634783 | 2.5150 | {'f1': 0.8346253229974161} | {'accuracy': 0.7545541706615532} |
0.0048 | 1584.0 | 635184 | 2.2513 | {'f1': 0.838206627680312} | {'accuracy': 0.7612655800575263} |
0.0081 | 1585.0 | 635585 | 2.5805 | {'f1': 0.8448717948717949} | {'accuracy': 0.7679769894534996} |
0.0081 | 1586.0 | 635986 | 2.5219 | {'f1': 0.8311855670103093} | {'accuracy': 0.7488015340364333} |
0.0062 | 1587.0 | 636387 | 2.5214 | {'f1': 0.835427135678392} | {'accuracy': 0.7488015340364333} |
0.0094 | 1588.0 | 636788 | 2.2688 | {'f1': 0.8364099299809039} | {'accuracy': 0.7535953978907} |
0.0072 | 1589.0 | 637189 | 2.5787 | {'f1': 0.8292367399741268} | {'accuracy': 0.7468839884947267} |
0.0062 | 1590.0 | 637590 | 2.7719 | {'f1': 0.8270967741935484} | {'accuracy': 0.7430488974113135} |
0.0062 | 1591.0 | 637991 | 2.9048 | {'f1': 0.8324937027707808} | {'accuracy': 0.7449664429530202} |
0.0036 | 1592.0 | 638392 | 2.5538 | {'f1': 0.8375314861460957} | {'accuracy': 0.7526366251198466} |
0.0129 | 1593.0 | 638793 | 2.3358 | {'f1': 0.8371794871794872} | {'accuracy': 0.7564717162032598} |
0.0088 | 1594.0 | 639194 | 2.2924 | {'f1': 0.8340750158931978} | {'accuracy': 0.7497603068072867} |
0.0093 | 1595.0 | 639595 | 2.3236 | {'f1': 0.8327825512227361} | {'accuracy': 0.7574304889741131} |
0.0093 | 1596.0 | 639996 | 2.4215 | {'f1': 0.8427109974424553} | {'accuracy': 0.7641418983700863} |
0.0076 | 1597.0 | 640397 | 2.3087 | {'f1': 0.8387516254876464} | {'accuracy': 0.7622243528283796} |
0.0098 | 1598.0 | 640798 | 2.4805 | {'f1': 0.8419705694177864} | {'accuracy': 0.763183125599233} |
0.0053 | 1599.0 | 641199 | 2.4255 | {'f1': 0.8399487836107554} | {'accuracy': 0.7603068072866731} |
0.0093 | 1600.0 | 641600 | 2.3467 | {'f1': 0.8330033003300329} | {'accuracy': 0.7574304889741131} |
0.0058 | 1601.0 | 642001 | 2.4955 | {'f1': 0.8339920948616601} | {'accuracy': 0.7583892617449665} |
0.0058 | 1602.0 | 642402 | 2.5645 | {'f1': 0.8427109974424553} | {'accuracy': 0.7641418983700863} |
0.0074 | 1603.0 | 642803 | 2.4843 | {'f1': 0.8331193838254173} | {'accuracy': 0.75071907957814} |
0.0064 | 1604.0 | 643204 | 2.3787 | {'f1': 0.8330134357005758} | {'accuracy': 0.7497603068072867} |
0.0112 | 1605.0 | 643605 | 2.4770 | {'f1': 0.8378033205619413} | {'accuracy': 0.7564717162032598} |
0.005 | 1606.0 | 644006 | 2.5795 | {'f1': 0.8338678640153945} | {'accuracy': 0.7516778523489933} |
0.005 | 1607.0 | 644407 | 2.4598 | {'f1': 0.8462500000000001} | {'accuracy': 0.7641418983700863} |
0.0104 | 1608.0 | 644808 | 2.2397 | {'f1': 0.8443877551020408} | {'accuracy': 0.7660594439117929} |
0.0063 | 1609.0 | 645209 | 2.5856 | {'f1': 0.8414403032217308} | {'accuracy': 0.7593480345158198} |
0.0075 | 1610.0 | 645610 | 2.5584 | {'f1': 0.8400770712909442} | {'accuracy': 0.7612655800575263} |
0.0046 | 1611.0 | 646011 | 2.7771 | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
0.0046 | 1612.0 | 646412 | 2.3936 | {'f1': 0.8381795195954488} | {'accuracy': 0.7545541706615532} |
0.0101 | 1613.0 | 646813 | 2.5508 | {'f1': 0.8379599741768883} | {'accuracy': 0.7593480345158198} |
0.0061 | 1614.0 | 647214 | 2.6579 | {'f1': 0.8372093023255814} | {'accuracy': 0.7516778523489933} |
0.0077 | 1615.0 | 647615 | 2.8177 | {'f1': 0.8357276702061213} | {'accuracy': 0.74784276126558} |
0.0066 | 1616.0 | 648016 | 2.5408 | {'f1': 0.8409805153991201} | {'accuracy': 0.7574304889741131} |
0.0066 | 1617.0 | 648417 | 2.6770 | {'f1': 0.8410386320455985} | {'accuracy': 0.7593480345158198} |
0.0051 | 1618.0 | 648818 | 2.7553 | {'f1': 0.839821314613912} | {'accuracy': 0.7593480345158198} |
0.0105 | 1619.0 | 649219 | 2.6149 | {'f1': 0.84078036500944} | {'accuracy': 0.7574304889741131} |
0.011 | 1620.0 | 649620 | 2.4232 | {'f1': 0.8372686662412252} | {'accuracy': 0.7555129434324065} |
0.0076 | 1621.0 | 650021 | 2.2456 | {'f1': 0.8390367553865652} | {'accuracy': 0.7564717162032598} |
0.0076 | 1622.0 | 650422 | 2.4660 | {'f1': 0.841640378548896} | {'accuracy': 0.7593480345158198} |
0.0057 | 1623.0 | 650823 | 2.5278 | {'f1': 0.8397435897435898} | {'accuracy': 0.7603068072866731} |
0.0057 | 1624.0 | 651224 | 2.3792 | {'f1': 0.8397435897435898} | {'accuracy': 0.7603068072866731} |
0.0095 | 1625.0 | 651625 | 2.4405 | {'f1': 0.8403041825095058} | {'accuracy': 0.7583892617449665} |
0.009 | 1626.0 | 652026 | 2.2924 | {'f1': 0.8350649350649352} | {'accuracy': 0.7564717162032598} |
0.009 | 1627.0 | 652427 | 2.4499 | {'f1': 0.8390804597701149} | {'accuracy': 0.7583892617449665} |
0.0047 | 1628.0 | 652828 | 2.4191 | {'f1': 0.8449466415568111} | {'accuracy': 0.763183125599233} |
0.0088 | 1629.0 | 653229 | 2.3860 | {'f1': 0.8438287153652393} | {'accuracy': 0.7622243528283796} |
0.0085 | 1630.0 | 653630 | 2.1791 | {'f1': 0.8351368555060471} | {'accuracy': 0.7516778523489933} |
0.0076 | 1631.0 | 654031 | 2.5326 | {'f1': 0.8331226295828066} | {'accuracy': 0.7468839884947267} |
0.0076 | 1632.0 | 654432 | 2.5171 | {'f1': 0.8397234443746072} | {'accuracy': 0.7555129434324065} |
0.0063 | 1633.0 | 654833 | 2.2281 | {'f1': 0.8396756082345601} | {'accuracy': 0.7535953978907} |
0.0063 | 1634.0 | 655234 | 2.3538 | {'f1': 0.8334396936821954} | {'accuracy': 0.7497603068072867} |
0.0041 | 1635.0 | 655635 | 2.4409 | {'f1': 0.8292682926829269} | {'accuracy': 0.7449664429530202} |
0.0075 | 1636.0 | 656036 | 2.7819 | {'f1': 0.8309239472030169} | {'accuracy': 0.7420901246404602} |
0.0075 | 1637.0 | 656437 | 2.7695 | {'f1': 0.8284625158831004} | {'accuracy': 0.7411313518696069} |
0.003 | 1638.0 | 656838 | 2.4919 | {'f1': 0.8316455696202532} | {'accuracy': 0.7449664429530202} |
0.0079 | 1639.0 | 657239 | 2.4634 | {'f1': 0.8395217117684078} | {'accuracy': 0.7555129434324065} |
0.0082 | 1640.0 | 657640 | 2.5190 | {'f1': 0.8279430789133246} | {'accuracy': 0.7449664429530202} |
0.007 | 1641.0 | 658041 | 2.3327 | {'f1': 0.8327994875080078} | {'accuracy': 0.7497603068072867} |
0.007 | 1642.0 | 658442 | 2.4059 | {'f1': 0.8355726167626361} | {'accuracy': 0.7535953978907} |
0.0061 | 1643.0 | 658843 | 2.5723 | {'f1': 0.8443037974683545} | {'accuracy': 0.7641418983700863} |
0.0088 | 1644.0 | 659244 | 2.3166 | {'f1': 0.8397720075997466} | {'accuracy': 0.7574304889741131} |
0.0073 | 1645.0 | 659645 | 2.2971 | {'f1': 0.834293026231606} | {'accuracy': 0.7516778523489933} |
0.0058 | 1646.0 | 660046 | 2.6448 | {'f1': 0.8340750158931978} | {'accuracy': 0.7497603068072867} |
0.0058 | 1647.0 | 660447 | 2.3263 | {'f1': 0.8303341902313626} | {'accuracy': 0.7468839884947267} |
0.0051 | 1648.0 | 660848 | 2.3813 | {'f1': 0.8380102040816327} | {'accuracy': 0.7564717162032598} |
0.0053 | 1649.0 | 661249 | 2.4205 | {'f1': 0.8382541720154044} | {'accuracy': 0.7583892617449665} |
0.0067 | 1650.0 | 661650 | 2.4641 | {'f1': 0.8365261813537676} | {'accuracy': 0.7545541706615532} |
0.0058 | 1651.0 | 662051 | 2.5083 | {'f1': 0.8368522072936659} | {'accuracy': 0.7555129434324065} |
0.0058 | 1652.0 | 662452 | 2.2537 | {'f1': 0.8358974358974359} | {'accuracy': 0.7545541706615532} |
0.0057 | 1653.0 | 662853 | 2.2666 | {'f1': 0.8325791855203619} | {'accuracy': 0.7516778523489933} |
0.0086 | 1654.0 | 663254 | 2.4583 | {'f1': 0.8368253968253969} | {'accuracy': 0.7535953978907} |
0.0081 | 1655.0 | 663655 | 2.3808 | {'f1': 0.8329048843187661} | {'accuracy': 0.75071907957814} |
0.0083 | 1656.0 | 664056 | 2.4406 | {'f1': 0.8387909319899244} | {'accuracy': 0.7545541706615532} |
0.0083 | 1657.0 | 664457 | 2.5305 | {'f1': 0.8326848249027238} | {'accuracy': 0.7526366251198466} |
0.0045 | 1658.0 | 664858 | 2.6602 | {'f1': 0.8323699421965319} | {'accuracy': 0.7497603068072867} |
0.0044 | 1659.0 | 665259 | 2.3236 | {'f1': 0.8378378378378379} | {'accuracy': 0.7583892617449665} |
0.0088 | 1660.0 | 665660 | 2.4613 | {'f1': 0.8400254939451881} | {'accuracy': 0.7593480345158198} |
0.0046 | 1661.0 | 666061 | 2.5055 | {'f1': 0.8359173126614987} | {'accuracy': 0.7564717162032598} |
0.0046 | 1662.0 | 666462 | 2.3114 | {'f1': 0.8421052631578947} | {'accuracy': 0.7641418983700863} |
0.0093 | 1663.0 | 666863 | 2.5699 | {'f1': 0.8420373952288847} | {'accuracy': 0.7651006711409396} |
0.0076 | 1664.0 | 667264 | 2.3307 | {'f1': 0.8414948453608248} | {'accuracy': 0.7641418983700863} |
0.008 | 1665.0 | 667665 | 2.5373 | {'f1': 0.8364336112892881} | {'accuracy': 0.7555129434324065} |
0.0034 | 1666.0 | 668066 | 2.7135 | {'f1': 0.839821314613912} | {'accuracy': 0.7593480345158198} |
0.0034 | 1667.0 | 668467 | 2.6065 | {'f1': 0.8347160178685386} | {'accuracy': 0.7516778523489933} |
0.0056 | 1668.0 | 668868 | 2.8129 | {'f1': 0.8366179275270186} | {'accuracy': 0.7535953978907} |
0.0058 | 1669.0 | 669269 | 2.6490 | {'f1': 0.8356687898089172} | {'accuracy': 0.7526366251198466} |
0.0052 | 1670.0 | 669670 | 2.4679 | {'f1': 0.8429022082018928} | {'accuracy': 0.7612655800575263} |
0.0062 | 1671.0 | 670071 | 2.5793 | {'f1': 0.8423707440100883} | {'accuracy': 0.7603068072866731} |
0.0062 | 1672.0 | 670472 | 2.6075 | {'f1': 0.8444444444444443} | {'accuracy': 0.7651006711409396} |
0.0059 | 1673.0 | 670873 | 2.3114 | {'f1': 0.8346153846153845} | {'accuracy': 0.7526366251198466} |
0.0066 | 1674.0 | 671274 | 2.5586 | {'f1': 0.8381795195954488} | {'accuracy': 0.7545541706615532} |
0.0075 | 1675.0 | 671675 | 2.3111 | {'f1': 0.833117723156533} | {'accuracy': 0.7526366251198466} |
0.0076 | 1676.0 | 672076 | 2.3979 | {'f1': 0.8366179275270186} | {'accuracy': 0.7535953978907} |
0.0076 | 1677.0 | 672477 | 2.0545 | {'f1': 0.8375080282594733} | {'accuracy': 0.7574304889741131} |
0.0069 | 1678.0 | 672878 | 2.2583 | {'f1': 0.8458093410108765} | {'accuracy': 0.7689357622243528} |
0.0047 | 1679.0 | 673279 | 2.4954 | {'f1': 0.8421052631578947} | {'accuracy': 0.7612655800575263} |
0.0053 | 1680.0 | 673680 | 2.5830 | {'f1': 0.8412397216951296} | {'accuracy': 0.7593480345158198} |
0.0045 | 1681.0 | 674081 | 2.7393 | {'f1': 0.8370323398858592} | {'accuracy': 0.7535953978907} |
0.0045 | 1682.0 | 674482 | 2.5995 | {'f1': 0.8379746835443038} | {'accuracy': 0.7545541706615532} |
0.0052 | 1683.0 | 674883 | 2.7705 | {'f1': 0.8401015228426397} | {'accuracy': 0.7583892617449665} |
0.0023 | 1684.0 | 675284 | 2.6417 | {'f1': 0.8385449904275686} | {'accuracy': 0.7574304889741131} |
0.0027 | 1685.0 | 675685 | 2.7326 | {'f1': 0.8388324873096447} | {'accuracy': 0.7564717162032598} |
0.0075 | 1686.0 | 676086 | 2.7324 | {'f1': 0.8415094339622642} | {'accuracy': 0.7583892617449665} |
0.0075 | 1687.0 | 676487 | 2.7051 | {'f1': 0.8333333333333333} | {'accuracy': 0.75071907957814} |
0.0052 | 1688.0 | 676888 | 2.6365 | {'f1': 0.8422391857506362} | {'accuracy': 0.7622243528283796} |
0.0063 | 1689.0 | 677289 | 2.6539 | {'f1': 0.8359721342621914} | {'accuracy': 0.7516778523489933} |
0.0089 | 1690.0 | 677690 | 2.3947 | {'f1': 0.8375634517766497} | {'accuracy': 0.7545541706615532} |
0.0078 | 1691.0 | 678091 | 2.4032 | {'f1': 0.839871382636656} | {'accuracy': 0.7612655800575263} |
0.0078 | 1692.0 | 678492 | 2.6239 | {'f1': 0.8239895697522815} | {'accuracy': 0.7411313518696069} |
0.0033 | 1693.0 | 678893 | 2.7501 | {'f1': 0.8355899419729207} | {'accuracy': 0.7555129434324065} |
0.0055 | 1694.0 | 679294 | 2.6391 | {'f1': 0.8335483870967741} | {'accuracy': 0.7526366251198466} |
0.0073 | 1695.0 | 679695 | 2.7171 | {'f1': 0.8365930599369086} | {'accuracy': 0.7516778523489933} |
0.0054 | 1696.0 | 680096 | 2.6674 | {'f1': 0.8349389852280027} | {'accuracy': 0.7535953978907} |
0.0054 | 1697.0 | 680497 | 2.6154 | {'f1': 0.838338658146965} | {'accuracy': 0.7574304889741131} |
0.0063 | 1698.0 | 680898 | 2.3952 | {'f1': 0.8378033205619413} | {'accuracy': 0.7564717162032598} |
0.0063 | 1699.0 | 681299 | 2.6218 | {'f1': 0.8325849903784478} | {'accuracy': 0.7497603068072867} |
0.0062 | 1700.0 | 681700 | 2.7796 | {'f1': 0.8344870988042794} | {'accuracy': 0.74784276126558} |
0.0039 | 1701.0 | 682101 | 2.8073 | {'f1': 0.8333333333333333} | {'accuracy': 0.7488015340364333} |
0.0045 | 1702.0 | 682502 | 2.4747 | {'f1': 0.8305732484076433} | {'accuracy': 0.7449664429530202} |
0.0045 | 1703.0 | 682903 | 2.3813 | {'f1': 0.8376830044557607} | {'accuracy': 0.7555129434324065} |
0.0058 | 1704.0 | 683304 | 2.5254 | {'f1': 0.8299935358758889} | {'accuracy': 0.74784276126558} |
0.0053 | 1705.0 | 683705 | 2.3674 | {'f1': 0.8352788586251622} | {'accuracy': 0.7564717162032598} |
0.0052 | 1706.0 | 684106 | 2.5650 | {'f1': 0.8367346938775511} | {'accuracy': 0.7545541706615532} |
0.0047 | 1707.0 | 684507 | 2.5826 | {'f1': 0.8373570520965693} | {'accuracy': 0.7545541706615532} |
0.0047 | 1708.0 | 684908 | 2.3042 | {'f1': 0.8384615384615385} | {'accuracy': 0.7583892617449665} |
0.0093 | 1709.0 | 685309 | 2.4972 | {'f1': 0.8336544637122671} | {'accuracy': 0.7516778523489933} |
0.0075 | 1710.0 | 685710 | 2.4236 | {'f1': 0.8302130406714009} | {'accuracy': 0.74784276126558} |
0.0072 | 1711.0 | 686111 | 2.4187 | {'f1': 0.8327953518398966} | {'accuracy': 0.7516778523489933} |
0.0053 | 1712.0 | 686512 | 2.5230 | {'f1': 0.835346471710108} | {'accuracy': 0.7516778523489933} |
0.0053 | 1713.0 | 686913 | 2.2689 | {'f1': 0.8335467349551857} | {'accuracy': 0.75071907957814} |
0.0076 | 1714.0 | 687314 | 2.2485 | {'f1': 0.8351507376523413} | {'accuracy': 0.7535953978907} |
0.0048 | 1715.0 | 687715 | 2.3259 | {'f1': 0.8338637810311904} | {'accuracy': 0.7497603068072867} |
0.0087 | 1716.0 | 688116 | 2.4466 | {'f1': 0.8330182734719597} | {'accuracy': 0.7459252157238735} |
0.0065 | 1717.0 | 688517 | 2.4669 | {'f1': 0.83502538071066} | {'accuracy': 0.75071907957814} |
0.0065 | 1718.0 | 688918 | 2.6582 | {'f1': 0.8289891926255561} | {'accuracy': 0.7420901246404602} |
0.004 | 1719.0 | 689319 | 2.6222 | {'f1': 0.8386683738796414} | {'accuracy': 0.7583892617449665} |
0.0061 | 1720.0 | 689720 | 2.6133 | {'f1': 0.8408370323398858} | {'accuracy': 0.7593480345158198} |
0.0049 | 1721.0 | 690121 | 2.4972 | {'f1': 0.8383773341918868} | {'accuracy': 0.7593480345158198} |
0.0038 | 1722.0 | 690522 | 2.6090 | {'f1': 0.8390367553865652} | {'accuracy': 0.7564717162032598} |
0.0038 | 1723.0 | 690923 | 2.6528 | {'f1': 0.836340206185567} | {'accuracy': 0.7564717162032598} |
0.0036 | 1724.0 | 691324 | 2.6965 | {'f1': 0.840251572327044} | {'accuracy': 0.7564717162032598} |
0.0065 | 1725.0 | 691725 | 2.5383 | {'f1': 0.8291721419185284} | {'accuracy': 0.75071907957814} |
0.0038 | 1726.0 | 692126 | 2.5855 | {'f1': 0.8334413480233311} | {'accuracy': 0.7535953978907} |
0.0064 | 1727.0 | 692527 | 2.6035 | {'f1': 0.8304319793681496} | {'accuracy': 0.74784276126558} |
0.0064 | 1728.0 | 692928 | 2.6798 | {'f1': 0.8380592312539382} | {'accuracy': 0.7535953978907} |
0.0046 | 1729.0 | 693329 | 2.4866 | {'f1': 0.834726688102894} | {'accuracy': 0.7535953978907} |
0.0059 | 1730.0 | 693730 | 2.3016 | {'f1': 0.834403080872914} | {'accuracy': 0.7526366251198466} |
0.0081 | 1731.0 | 694131 | 2.5490 | {'f1': 0.8378893833439287} | {'accuracy': 0.7555129434324065} |
0.004 | 1732.0 | 694532 | 2.5366 | {'f1': 0.8350383631713555} | {'accuracy': 0.7526366251198466} |
0.004 | 1733.0 | 694933 | 2.7084 | {'f1': 0.8388324873096447} | {'accuracy': 0.7564717162032598} |
0.0019 | 1734.0 | 695334 | 2.7241 | {'f1': 0.8360128617363345} | {'accuracy': 0.7555129434324065} |
0.0036 | 1735.0 | 695735 | 2.9344 | {'f1': 0.8413098236775819} | {'accuracy': 0.7583892617449665} |
0.0032 | 1736.0 | 696136 | 2.7233 | {'f1': 0.8412397216951296} | {'accuracy': 0.7593480345158198} |
0.0031 | 1737.0 | 696537 | 2.8682 | {'f1': 0.8408370323398858} | {'accuracy': 0.7593480345158198} |
0.0031 | 1738.0 | 696938 | 2.5962 | {'f1': 0.844106463878327} | {'accuracy': 0.7641418983700863} |
0.0054 | 1739.0 | 697339 | 2.6224 | {'f1': 0.8431122448979593} | {'accuracy': 0.7641418983700863} |
0.0057 | 1740.0 | 697740 | 2.6496 | {'f1': 0.8362944162436549} | {'accuracy': 0.7526366251198466} |
0.0065 | 1741.0 | 698141 | 2.6702 | {'f1': 0.8393650793650793} | {'accuracy': 0.7574304889741131} |
0.0046 | 1742.0 | 698542 | 2.5869 | {'f1': 0.8375080282594733} | {'accuracy': 0.7574304889741131} |
0.0046 | 1743.0 | 698943 | 2.6396 | {'f1': 0.8351368555060471} | {'accuracy': 0.7516778523489933} |
0.0052 | 1744.0 | 699344 | 2.7841 | {'f1': 0.8382541720154044} | {'accuracy': 0.7583892617449665} |
0.0019 | 1745.0 | 699745 | 2.7361 | {'f1': 0.8411801632140615} | {'accuracy': 0.7574304889741131} |
0.0044 | 1746.0 | 700146 | 2.8370 | {'f1': 0.8415094339622642} | {'accuracy': 0.7583892617449665} |
0.004 | 1747.0 | 700547 | 2.8577 | {'f1': 0.8359721342621914} | {'accuracy': 0.7516778523489933} |
0.004 | 1748.0 | 700948 | 2.8367 | {'f1': 0.8403041825095058} | {'accuracy': 0.7583892617449665} |
0.0053 | 1749.0 | 701349 | 2.9112 | {'f1': 0.8396946564885497} | {'accuracy': 0.7583892617449665} |
0.0025 | 1750.0 | 701750 | 2.8936 | {'f1': 0.8387909319899244} | {'accuracy': 0.7545541706615532} |
0.005 | 1751.0 | 702151 | 2.8212 | {'f1': 0.8388746803069054} | {'accuracy': 0.7583892617449665} |
0.0041 | 1752.0 | 702552 | 2.7394 | {'f1': 0.8363171355498722} | {'accuracy': 0.7545541706615532} |
0.0041 | 1753.0 | 702953 | 2.8245 | {'f1': 0.8359923420548819} | {'accuracy': 0.7535953978907} |
0.0037 | 1754.0 | 703354 | 2.8312 | {'f1': 0.8361075544174137} | {'accuracy': 0.7545541706615532} |
0.0024 | 1755.0 | 703755 | 2.5594 | {'f1': 0.8350515463917526} | {'accuracy': 0.7545541706615532} |
0.0077 | 1756.0 | 704156 | 2.4482 | {'f1': 0.8345138441725692} | {'accuracy': 0.7535953978907} |
0.002 | 1757.0 | 704557 | 2.6409 | {'f1': 0.8409669211195929} | {'accuracy': 0.7603068072866731} |
0.002 | 1758.0 | 704958 | 2.5793 | {'f1': 0.8355899419729207} | {'accuracy': 0.7555129434324065} |
0.0052 | 1759.0 | 705359 | 2.6299 | {'f1': 0.8388746803069054} | {'accuracy': 0.7583892617449665} |
0.004 | 1760.0 | 705760 | 2.6070 | {'f1': 0.834726688102894} | {'accuracy': 0.7535953978907} |
0.0053 | 1761.0 | 706161 | 2.5216 | {'f1': 0.8374446552814674} | {'accuracy': 0.7535953978907} |
0.0062 | 1762.0 | 706562 | 2.6798 | {'f1': 0.8389134554643083} | {'accuracy': 0.7555129434324065} |
0.0062 | 1763.0 | 706963 | 2.3750 | {'f1': 0.8335483870967741} | {'accuracy': 0.7526366251198466} |
0.0076 | 1764.0 | 707364 | 2.7607 | {'f1': 0.839073262366938} | {'accuracy': 0.7535953978907} |
0.0028 | 1765.0 | 707765 | 2.6130 | {'f1': 0.8344958782498415} | {'accuracy': 0.7497603068072867} |
0.0055 | 1766.0 | 708166 | 2.6034 | {'f1': 0.8326797385620914} | {'accuracy': 0.7545541706615532} |
0.0035 | 1767.0 | 708567 | 2.7663 | {'f1': 0.8382165605095542} | {'accuracy': 0.7564717162032598} |
0.0035 | 1768.0 | 708968 | 2.7518 | {'f1': 0.8371212121212122} | {'accuracy': 0.7526366251198466} |
0.0047 | 1769.0 | 709369 | 2.3444 | {'f1': 0.8336569579288027} | {'accuracy': 0.7535953978907} |
0.0036 | 1770.0 | 709770 | 2.5024 | {'f1': 0.8309677419354838} | {'accuracy': 0.7488015340364333} |
0.0031 | 1771.0 | 710171 | 2.4226 | {'f1': 0.8401015228426397} | {'accuracy': 0.7583892617449665} |
0.0059 | 1772.0 | 710572 | 2.6134 | {'f1': 0.8389134554643083} | {'accuracy': 0.7555129434324065} |
0.0059 | 1773.0 | 710973 | 2.5395 | {'f1': 0.8337628865979381} | {'accuracy': 0.7526366251198466} |
0.006 | 1774.0 | 711374 | 2.6910 | {'f1': 0.8374446552814674} | {'accuracy': 0.7535953978907} |
0.0043 | 1775.0 | 711775 | 2.6508 | {'f1': 0.8394904458598725} | {'accuracy': 0.7583892617449665} |
0.0046 | 1776.0 | 712176 | 2.2803 | {'f1': 0.8351507376523413} | {'accuracy': 0.7535953978907} |
0.0039 | 1777.0 | 712577 | 2.7084 | {'f1': 0.8375} | {'accuracy': 0.75071907957814} |
0.0039 | 1778.0 | 712978 | 2.4391 | {'f1': 0.8320413436692506} | {'accuracy': 0.75071907957814} |
0.007 | 1779.0 | 713379 | 2.6448 | {'f1': 0.8412291933418694} | {'accuracy': 0.7622243528283796} |
0.0023 | 1780.0 | 713780 | 2.8286 | {'f1': 0.8380592312539382} | {'accuracy': 0.7535953978907} |
0.0027 | 1781.0 | 714181 | 2.8325 | {'f1': 0.8434343434343433} | {'accuracy': 0.7622243528283796} |
0.0051 | 1782.0 | 714582 | 2.6243 | {'f1': 0.8369704749679076} | {'accuracy': 0.7564717162032598} |
0.0051 | 1783.0 | 714983 | 2.6622 | {'f1': 0.8353162179085786} | {'accuracy': 0.74784276126558} |
0.0043 | 1784.0 | 715384 | 2.6014 | {'f1': 0.8337595907928389} | {'accuracy': 0.75071907957814} |
0.005 | 1785.0 | 715785 | 2.5878 | {'f1': 0.8345047923322685} | {'accuracy': 0.7516778523489933} |
0.0032 | 1786.0 | 716186 | 2.7466 | {'f1': 0.8377693282636249} | {'accuracy': 0.7545541706615532} |
0.0016 | 1787.0 | 716587 | 2.8262 | {'f1': 0.8381795195954488} | {'accuracy': 0.7545541706615532} |
0.0016 | 1788.0 | 716988 | 2.8292 | {'f1': 0.8386691776522286} | {'accuracy': 0.7535953978907} |
0.0043 | 1789.0 | 717389 | 2.7830 | {'f1': 0.8403041825095058} | {'accuracy': 0.7583892617449665} |
0.0028 | 1790.0 | 717790 | 2.6074 | {'f1': 0.8373879641485275} | {'accuracy': 0.7564717162032598} |
0.0068 | 1791.0 | 718191 | 2.6583 | {'f1': 0.8359522313010685} | {'accuracy': 0.7497603068072867} |
0.005 | 1792.0 | 718592 | 2.6678 | {'f1': 0.8378548895899053} | {'accuracy': 0.7535953978907} |
0.005 | 1793.0 | 718993 | 2.6018 | {'f1': 0.8364336112892881} | {'accuracy': 0.7555129434324065} |
0.0033 | 1794.0 | 719394 | 2.7015 | {'f1': 0.8369426751592357} | {'accuracy': 0.7545541706615532} |
0.0031 | 1795.0 | 719795 | 2.8461 | {'f1': 0.8400503778337531} | {'accuracy': 0.7564717162032598} |
0.0016 | 1796.0 | 720196 | 2.7343 | {'f1': 0.8338762214983714} | {'accuracy': 0.7555129434324065} |
0.0028 | 1797.0 | 720597 | 2.8495 | {'f1': 0.8381317978246962} | {'accuracy': 0.7574304889741131} |
0.0028 | 1798.0 | 720998 | 2.5900 | {'f1': 0.8407479045776919} | {'accuracy': 0.763183125599233} |
0.005 | 1799.0 | 721399 | 2.6968 | {'f1': 0.8394904458598725} | {'accuracy': 0.7583892617449665} |
0.0037 | 1800.0 | 721800 | 2.8437 | {'f1': 0.8395217117684078} | {'accuracy': 0.7555129434324065} |
0.0044 | 1801.0 | 722201 | 2.3908 | {'f1': 0.8452305748578648} | {'accuracy': 0.7651006711409396} |
0.0033 | 1802.0 | 722602 | 2.6763 | {'f1': 0.8435114503816794} | {'accuracy': 0.7641418983700863} |
0.0024 | 1803.0 | 723003 | 2.7676 | {'f1': 0.8453738910012675} | {'accuracy': 0.7660594439117929} |
0.0024 | 1804.0 | 723404 | 2.6193 | {'f1': 0.8439086294416244} | {'accuracy': 0.7641418983700863} |
0.0053 | 1805.0 | 723805 | 2.7303 | {'f1': 0.8385449904275686} | {'accuracy': 0.7574304889741131} |
0.0025 | 1806.0 | 724206 | 2.6265 | {'f1': 0.8400254939451881} | {'accuracy': 0.7593480345158198} |
0.0047 | 1807.0 | 724607 | 2.7407 | {'f1': 0.8411689961880559} | {'accuracy': 0.7603068072866731} |
0.0049 | 1808.0 | 725008 | 2.5945 | {'f1': 0.8404118404118406} | {'accuracy': 0.7622243528283796} |
0.0049 | 1809.0 | 725409 | 2.7053 | {'f1': 0.8405612244897959} | {'accuracy': 0.7603068072866731} |
0.0021 | 1810.0 | 725810 | 2.7480 | {'f1': 0.8416458852867831} | {'accuracy': 0.7564717162032598} |
0.0051 | 1811.0 | 726211 | 2.6730 | {'f1': 0.8433734939759037} | {'accuracy': 0.763183125599233} |
0.0021 | 1812.0 | 726612 | 2.6699 | {'f1': 0.8404118404118406} | {'accuracy': 0.7622243528283796} |
0.0043 | 1813.0 | 727013 | 2.6681 | {'f1': 0.8418367346938777} | {'accuracy': 0.7622243528283796} |
0.0043 | 1814.0 | 727414 | 2.7602 | {'f1': 0.8415716096324461} | {'accuracy': 0.7603068072866731} |
0.0025 | 1815.0 | 727815 | 2.6684 | {'f1': 0.8425748884639899} | {'accuracy': 0.763183125599233} |
0.0042 | 1816.0 | 728216 | 2.7011 | {'f1': 0.8406909788867563} | {'accuracy': 0.7612655800575263} |
0.0029 | 1817.0 | 728617 | 2.6725 | {'f1': 0.843650287172942} | {'accuracy': 0.7651006711409396} |
0.0028 | 1818.0 | 729018 | 2.6201 | {'f1': 0.8405985686402083} | {'accuracy': 0.7651006711409396} |
0.0028 | 1819.0 | 729419 | 2.6945 | {'f1': 0.8460063897763579} | {'accuracy': 0.7689357622243528} |
0.0051 | 1820.0 | 729820 | 2.6645 | {'f1': 0.8426461143224149} | {'accuracy': 0.7651006711409396} |
0.0017 | 1821.0 | 730221 | 2.7897 | {'f1': 0.8447837150127226} | {'accuracy': 0.7660594439117929} |
0.0016 | 1822.0 | 730622 | 2.8400 | {'f1': 0.8420382165605096} | {'accuracy': 0.7622243528283796} |
0.0023 | 1823.0 | 731023 | 2.8817 | {'f1': 0.8410386320455985} | {'accuracy': 0.7593480345158198} |
0.0023 | 1824.0 | 731424 | 2.7786 | {'f1': 0.8445859872611465} | {'accuracy': 0.7660594439117929} |
0.0033 | 1825.0 | 731825 | 2.7473 | {'f1': 0.8402822322001283} | {'accuracy': 0.7612655800575263} |
0.0034 | 1826.0 | 732226 | 2.8191 | {'f1': 0.8470290771175728} | {'accuracy': 0.7679769894534996} |
0.0028 | 1827.0 | 732627 | 2.7988 | {'f1': 0.8436317780580076} | {'accuracy': 0.7622243528283796} |
0.0028 | 1828.0 | 733028 | 2.6751 | {'f1': 0.8432501599488165} | {'accuracy': 0.7651006711409396} |
0.0028 | 1829.0 | 733429 | 2.6557 | {'f1': 0.8423707440100883} | {'accuracy': 0.7603068072866731} |
0.0044 | 1830.0 | 733830 | 2.6860 | {'f1': 0.8419705694177864} | {'accuracy': 0.763183125599233} |
0.0035 | 1831.0 | 734231 | 2.7019 | {'f1': 0.8412291933418694} | {'accuracy': 0.7622243528283796} |
0.0019 | 1832.0 | 734632 | 2.7205 | {'f1': 0.8387096774193549} | {'accuracy': 0.7555129434324065} |
0.0042 | 1833.0 | 735033 | 2.7107 | {'f1': 0.8378378378378379} | {'accuracy': 0.7583892617449665} |
0.0042 | 1834.0 | 735434 | 2.8087 | {'f1': 0.8416347381864623} | {'accuracy': 0.7622243528283796} |
0.0035 | 1835.0 | 735835 | 2.7708 | {'f1': 0.8429858429858431} | {'accuracy': 0.7660594439117929} |
0.0038 | 1836.0 | 736236 | 2.8128 | {'f1': 0.8415651058370751} | {'accuracy': 0.763183125599233} |
0.0028 | 1837.0 | 736637 | 2.8505 | {'f1': 0.8439671509791535} | {'accuracy': 0.763183125599233} |
0.0021 | 1838.0 | 737038 | 2.8126 | {'f1': 0.8428479794740218} | {'accuracy': 0.7651006711409396} |
0.0021 | 1839.0 | 737439 | 2.7264 | {'f1': 0.8443305573350417} | {'accuracy': 0.7670182166826462} |
0.0028 | 1840.0 | 737840 | 2.8628 | {'f1': 0.845620667926906} | {'accuracy': 0.7651006711409396} |
0.0016 | 1841.0 | 738241 | 2.5945 | {'f1': 0.8433268858800773} | {'accuracy': 0.7670182166826462} |
0.0052 | 1842.0 | 738642 | 2.6368 | {'f1': 0.8431746031746032} | {'accuracy': 0.763183125599233} |
0.0037 | 1843.0 | 739043 | 2.6159 | {'f1': 0.843236409608091} | {'accuracy': 0.7622243528283796} |
0.0037 | 1844.0 | 739444 | 2.6887 | {'f1': 0.8435718809373022} | {'accuracy': 0.763183125599233} |
0.0021 | 1845.0 | 739845 | 2.6875 | {'f1': 0.843236409608091} | {'accuracy': 0.7622243528283796} |
0.0019 | 1846.0 | 740246 | 2.7068 | {'f1': 0.8439086294416244} | {'accuracy': 0.7641418983700863} |
0.0015 | 1847.0 | 740647 | 2.6309 | {'f1': 0.8450704225352114} | {'accuracy': 0.7679769894534996} |
0.0019 | 1848.0 | 741048 | 2.6037 | {'f1': 0.8443305573350417} | {'accuracy': 0.7670182166826462} |
0.0019 | 1849.0 | 741449 | 2.6820 | {'f1': 0.8425047438330171} | {'accuracy': 0.7612655800575263} |
0.0036 | 1850.0 | 741850 | 2.6864 | {'f1': 0.8394113883557262} | {'accuracy': 0.7593480345158198} |
0.0039 | 1851.0 | 742251 | 2.6781 | {'f1': 0.840251572327044} | {'accuracy': 0.7564717162032598} |
0.003 | 1852.0 | 742652 | 2.6571 | {'f1': 0.8397720075997466} | {'accuracy': 0.7574304889741131} |
0.0035 | 1853.0 | 743053 | 2.6523 | {'f1': 0.8429022082018928} | {'accuracy': 0.7612655800575263} |
0.0035 | 1854.0 | 743454 | 2.6374 | {'f1': 0.8419047619047619} | {'accuracy': 0.7612655800575263} |
0.0036 | 1855.0 | 743855 | 2.6373 | {'f1': 0.8407643312101911} | {'accuracy': 0.7603068072866731} |
0.004 | 1856.0 | 744256 | 2.7006 | {'f1': 0.8400254939451881} | {'accuracy': 0.7593480345158198} |
0.0023 | 1857.0 | 744657 | 2.8141 | {'f1': 0.8423052564914503} | {'accuracy': 0.7612655800575263} |
0.0029 | 1858.0 | 745058 | 2.8080 | {'f1': 0.8415716096324461} | {'accuracy': 0.7603068072866731} |
0.0029 | 1859.0 | 745459 | 2.9025 | {'f1': 0.839073262366938} | {'accuracy': 0.7535953978907} |
0.0023 | 1860.0 | 745860 | 2.5824 | {'f1': 0.8401768793430195} | {'accuracy': 0.7574304889741131} |
0.0058 | 1861.0 | 746261 | 2.6345 | {'f1': 0.839568801521877} | {'accuracy': 0.7574304889741131} |
0.0016 | 1862.0 | 746662 | 2.6826 | {'f1': 0.839568801521877} | {'accuracy': 0.7574304889741131} |
0.0015 | 1863.0 | 747063 | 2.7246 | {'f1': 0.8434343434343433} | {'accuracy': 0.7622243528283796} |
0.0015 | 1864.0 | 747464 | 2.7682 | {'f1': 0.8394437420986094} | {'accuracy': 0.7564717162032598} |
0.0025 | 1865.0 | 747865 | 2.6325 | {'f1': 0.8376288659793815} | {'accuracy': 0.7583892617449665} |
0.0034 | 1866.0 | 748266 | 2.7350 | {'f1': 0.8408945686900958} | {'accuracy': 0.7612655800575263} |
0.0025 | 1867.0 | 748667 | 2.8103 | {'f1': 0.8389175257731959} | {'accuracy': 0.7603068072866731} |
0.0016 | 1868.0 | 749068 | 2.9105 | {'f1': 0.8399487836107554} | {'accuracy': 0.7603068072866731} |
0.0016 | 1869.0 | 749469 | 2.9085 | {'f1': 0.8402822322001283} | {'accuracy': 0.7612655800575263} |
0.0011 | 1870.0 | 749870 | 2.9515 | {'f1': 0.8421725239616613} | {'accuracy': 0.763183125599233} |
0.0015 | 1871.0 | 750271 | 3.0233 | {'f1': 0.8403575989782885} | {'accuracy': 0.7603068072866731} |
0.0026 | 1872.0 | 750672 | 2.8606 | {'f1': 0.8361290322580646} | {'accuracy': 0.7564717162032598} |
0.0044 | 1873.0 | 751073 | 2.9509 | {'f1': 0.840378548895899} | {'accuracy': 0.7574304889741131} |
0.0044 | 1874.0 | 751474 | 2.7899 | {'f1': 0.8397435897435898} | {'accuracy': 0.7603068072866731} |
0.0048 | 1875.0 | 751875 | 2.8711 | {'f1': 0.839821314613912} | {'accuracy': 0.7593480345158198} |
0.0016 | 1876.0 | 752276 | 2.9244 | {'f1': 0.839821314613912} | {'accuracy': 0.7593480345158198} |
0.0024 | 1877.0 | 752677 | 2.9735 | {'f1': 0.8402291534054743} | {'accuracy': 0.7593480345158198} |
0.003 | 1878.0 | 753078 | 2.9350 | {'f1': 0.8428390367553865} | {'accuracy': 0.7622243528283796} |
0.003 | 1879.0 | 753479 | 2.7649 | {'f1': 0.8400254939451881} | {'accuracy': 0.7593480345158198} |
0.0042 | 1880.0 | 753880 | 2.6952 | {'f1': 0.838709677419355} | {'accuracy': 0.7603068072866731} |
0.0034 | 1881.0 | 754281 | 2.5917 | {'f1': 0.8383773341918868} | {'accuracy': 0.7593480345158198} |
0.003 | 1882.0 | 754682 | 2.7400 | {'f1': 0.8417721518987342} | {'accuracy': 0.7603068072866731} |
0.0025 | 1883.0 | 755083 | 2.8178 | {'f1': 0.8408370323398858} | {'accuracy': 0.7593480345158198} |
0.0025 | 1884.0 | 755484 | 2.8306 | {'f1': 0.8426395939086295} | {'accuracy': 0.7622243528283796} |
0.0014 | 1885.0 | 755885 | 2.8514 | {'f1': 0.8407643312101911} | {'accuracy': 0.7603068072866731} |
0.0025 | 1886.0 | 756286 | 2.6595 | {'f1': 0.8422391857506362} | {'accuracy': 0.7622243528283796} |
0.0036 | 1887.0 | 756687 | 2.6915 | {'f1': 0.8405063291139242} | {'accuracy': 0.7583892617449665} |
0.0016 | 1888.0 | 757088 | 2.7037 | {'f1': 0.8409669211195929} | {'accuracy': 0.7603068072866731} |
0.0016 | 1889.0 | 757489 | 2.6271 | {'f1': 0.8437900128040973} | {'accuracy': 0.7660594439117929} |
0.0033 | 1890.0 | 757890 | 2.6827 | {'f1': 0.8431122448979593} | {'accuracy': 0.7641418983700863} |
0.0027 | 1891.0 | 758291 | 2.5326 | {'f1': 0.8434504792332268} | {'accuracy': 0.7651006711409396} |
0.002 | 1892.0 | 758692 | 2.5853 | {'f1': 0.8425096030729833} | {'accuracy': 0.7641418983700863} |
0.0021 | 1893.0 | 759093 | 2.6142 | {'f1': 0.8430493273542601} | {'accuracy': 0.7651006711409396} |
0.0021 | 1894.0 | 759494 | 2.6887 | {'f1': 0.8444444444444443} | {'accuracy': 0.7651006711409396} |
0.0032 | 1895.0 | 759895 | 2.7187 | {'f1': 0.8446417247939126} | {'accuracy': 0.7651006711409396} |
0.0021 | 1896.0 | 760296 | 2.7225 | {'f1': 0.8429752066115702} | {'accuracy': 0.763183125599233} |
0.0023 | 1897.0 | 760697 | 2.6753 | {'f1': 0.8379599741768883} | {'accuracy': 0.7593480345158198} |
0.0046 | 1898.0 | 761098 | 2.6555 | {'f1': 0.8375080282594733} | {'accuracy': 0.7574304889741131} |
0.0046 | 1899.0 | 761499 | 2.7358 | {'f1': 0.8403575989782885} | {'accuracy': 0.7603068072866731} |
0.0028 | 1900.0 | 761900 | 2.8107 | {'f1': 0.8409669211195929} | {'accuracy': 0.7603068072866731} |
0.0017 | 1901.0 | 762301 | 2.7447 | {'f1': 0.8416347381864623} | {'accuracy': 0.7622243528283796} |
0.0026 | 1902.0 | 762702 | 2.7790 | {'f1': 0.8381317978246962} | {'accuracy': 0.7574304889741131} |
0.0023 | 1903.0 | 763103 | 2.7833 | {'f1': 0.8405612244897959} | {'accuracy': 0.7603068072866731} |
0.0015 | 1904.0 | 763504 | 2.7735 | {'f1': 0.8394584139264991} | {'accuracy': 0.7612655800575263} |
0.0015 | 1905.0 | 763905 | 2.7152 | {'f1': 0.837299035369775} | {'accuracy': 0.7574304889741131} |
0.0037 | 1906.0 | 764306 | 2.7566 | {'f1': 0.839871382636656} | {'accuracy': 0.7612655800575263} |
0.0023 | 1907.0 | 764707 | 2.8053 | {'f1': 0.8399487836107554} | {'accuracy': 0.7603068072866731} |
0.0022 | 1908.0 | 765108 | 2.8044 | {'f1': 0.8406349206349206} | {'accuracy': 0.7593480345158198} |
0.0021 | 1909.0 | 765509 | 2.7904 | {'f1': 0.8422391857506362} | {'accuracy': 0.7622243528283796} |
0.0021 | 1910.0 | 765910 | 2.7279 | {'f1': 0.8392511297611364} | {'accuracy': 0.7612655800575263} |
0.0031 | 1911.0 | 766311 | 2.5815 | {'f1': 0.8408215661103978} | {'accuracy': 0.7622243528283796} |
0.0036 | 1912.0 | 766712 | 2.6413 | {'f1': 0.8421725239616613} | {'accuracy': 0.763183125599233} |
0.0037 | 1913.0 | 767113 | 2.6444 | {'f1': 0.8427109974424553} | {'accuracy': 0.7641418983700863} |
0.0016 | 1914.0 | 767514 | 2.6911 | {'f1': 0.8461051298290057} | {'accuracy': 0.7670182166826462} |
0.0016 | 1915.0 | 767915 | 2.6524 | {'f1': 0.8417680973734787} | {'accuracy': 0.763183125599233} |
0.0023 | 1916.0 | 768316 | 2.6627 | {'f1': 0.8446726572528884} | {'accuracy': 0.7679769894534996} |
0.0024 | 1917.0 | 768717 | 2.6998 | {'f1': 0.8454137267479153} | {'accuracy': 0.7689357622243528} |
0.002 | 1918.0 | 769118 | 2.7575 | {'f1': 0.8435114503816794} | {'accuracy': 0.7641418983700863} |
0.0018 | 1919.0 | 769519 | 2.7518 | {'f1': 0.8449809402795427} | {'accuracy': 0.7660594439117929} |
0.0018 | 1920.0 | 769920 | 2.6958 | {'f1': 0.8415651058370751} | {'accuracy': 0.763183125599233} |
0.0027 | 1921.0 | 770321 | 2.7208 | {'f1': 0.8458093410108765} | {'accuracy': 0.7689357622243528} |
0.0022 | 1922.0 | 770722 | 2.7556 | {'f1': 0.8460063897763579} | {'accuracy': 0.7689357622243528} |
0.0012 | 1923.0 | 771123 | 2.8102 | {'f1': 0.8440483768300445} | {'accuracy': 0.7651006711409396} |
0.0015 | 1924.0 | 771524 | 2.8756 | {'f1': 0.8446417247939126} | {'accuracy': 0.7651006711409396} |
0.0015 | 1925.0 | 771925 | 2.8866 | {'f1': 0.8445006321112516} | {'accuracy': 0.7641418983700863} |
0.0021 | 1926.0 | 772326 | 2.8522 | {'f1': 0.8460559796437659} | {'accuracy': 0.7679769894534996} |
0.0016 | 1927.0 | 772727 | 2.9206 | {'f1': 0.8472222222222222} | {'accuracy': 0.7679769894534996} |
0.0023 | 1928.0 | 773128 | 2.9017 | {'f1': 0.8442466624284806} | {'accuracy': 0.7651006711409396} |
0.002 | 1929.0 | 773529 | 2.8669 | {'f1': 0.8433121019108281} | {'accuracy': 0.7641418983700863} |
0.002 | 1930.0 | 773930 | 2.8774 | {'f1': 0.8449809402795427} | {'accuracy': 0.7660594439117929} |
0.0028 | 1931.0 | 774331 | 2.9015 | {'f1': 0.8468809073724007} | {'accuracy': 0.7670182166826462} |
0.0022 | 1932.0 | 774732 | 2.7861 | {'f1': 0.8437900128040973} | {'accuracy': 0.7660594439117929} |
0.0024 | 1933.0 | 775133 | 2.8240 | {'f1': 0.8449809402795427} | {'accuracy': 0.7660594439117929} |
0.0021 | 1934.0 | 775534 | 2.8487 | {'f1': 0.8464467005076141} | {'accuracy': 0.7679769894534996} |
0.0021 | 1935.0 | 775935 | 2.8609 | {'f1': 0.8459099556119215} | {'accuracy': 0.7670182166826462} |
0.0017 | 1936.0 | 776336 | 2.8855 | {'f1': 0.8462998102466792} | {'accuracy': 0.7670182166826462} |
0.0015 | 1937.0 | 776737 | 2.8598 | {'f1': 0.8442466624284806} | {'accuracy': 0.7651006711409396} |
0.0022 | 1938.0 | 777138 | 2.8218 | {'f1': 0.8427835051546391} | {'accuracy': 0.7660594439117929} |
0.0025 | 1939.0 | 777539 | 2.8815 | {'f1': 0.8450347881087918} | {'accuracy': 0.7651006711409396} |
0.0025 | 1940.0 | 777940 | 2.7933 | {'f1': 0.8446726572528884} | {'accuracy': 0.7679769894534996} |
0.0028 | 1941.0 | 778341 | 2.7669 | {'f1': 0.842443729903537} | {'accuracy': 0.7651006711409396} |
0.0023 | 1942.0 | 778742 | 2.8497 | {'f1': 0.8462998102466792} | {'accuracy': 0.7670182166826462} |
0.0016 | 1943.0 | 779143 | 2.7680 | {'f1': 0.8435897435897436} | {'accuracy': 0.7660594439117929} |
0.0025 | 1944.0 | 779544 | 2.8139 | {'f1': 0.8434504792332268} | {'accuracy': 0.7651006711409396} |
0.0025 | 1945.0 | 779945 | 2.8529 | {'f1': 0.8459099556119215} | {'accuracy': 0.7670182166826462} |
0.0019 | 1946.0 | 780346 | 2.8353 | {'f1': 0.8449266113592852} | {'accuracy': 0.7670182166826462} |
0.0015 | 1947.0 | 780747 | 2.8326 | {'f1': 0.8458093410108765} | {'accuracy': 0.7689357622243528} |
0.0015 | 1948.0 | 781148 | 2.9020 | {'f1': 0.8443037974683545} | {'accuracy': 0.7641418983700863} |
0.0024 | 1949.0 | 781549 | 2.8690 | {'f1': 0.8453214513049013} | {'accuracy': 0.7670182166826462} |
0.0024 | 1950.0 | 781950 | 2.8735 | {'f1': 0.8449266113592852} | {'accuracy': 0.7670182166826462} |
0.0013 | 1951.0 | 782351 | 2.8960 | {'f1': 0.8464467005076141} | {'accuracy': 0.7679769894534996} |
0.0022 | 1952.0 | 782752 | 2.9193 | {'f1': 0.8452305748578648} | {'accuracy': 0.7651006711409396} |
0.0014 | 1953.0 | 783153 | 2.9287 | {'f1': 0.8446969696969698} | {'accuracy': 0.7641418983700863} |
0.0014 | 1954.0 | 783554 | 2.9220 | {'f1': 0.8447837150127226} | {'accuracy': 0.7660594439117929} |
0.0014 | 1955.0 | 783955 | 2.9421 | {'f1': 0.844106463878327} | {'accuracy': 0.7641418983700863} |
0.0012 | 1956.0 | 784356 | 2.8378 | {'f1': 0.8426461143224149} | {'accuracy': 0.7651006711409396} |
0.0039 | 1957.0 | 784757 | 2.8241 | {'f1': 0.8428479794740218} | {'accuracy': 0.7651006711409396} |
0.0025 | 1958.0 | 785158 | 2.8523 | {'f1': 0.8434504792332268} | {'accuracy': 0.7651006711409396} |
0.0029 | 1959.0 | 785559 | 2.7509 | {'f1': 0.8430493273542601} | {'accuracy': 0.7651006711409396} |
0.0029 | 1960.0 | 785960 | 2.7755 | {'f1': 0.8438495857233907} | {'accuracy': 0.7651006711409396} |
0.0016 | 1961.0 | 786361 | 2.7754 | {'f1': 0.8435897435897436} | {'accuracy': 0.7660594439117929} |
0.0018 | 1962.0 | 786762 | 2.7565 | {'f1': 0.8414948453608248} | {'accuracy': 0.7641418983700863} |
0.0017 | 1963.0 | 787163 | 2.7989 | {'f1': 0.8421725239616613} | {'accuracy': 0.763183125599233} |
0.003 | 1964.0 | 787564 | 2.8220 | {'f1': 0.8438495857233907} | {'accuracy': 0.7651006711409396} |
0.003 | 1965.0 | 787965 | 2.8320 | {'f1': 0.8433121019108281} | {'accuracy': 0.7641418983700863} |
0.0011 | 1966.0 | 788366 | 2.8321 | {'f1': 0.843650287172942} | {'accuracy': 0.7651006711409396} |
0.0017 | 1967.0 | 788767 | 2.8191 | {'f1': 0.8432501599488165} | {'accuracy': 0.7651006711409396} |
0.0038 | 1968.0 | 789168 | 2.8443 | {'f1': 0.8422391857506362} | {'accuracy': 0.7622243528283796} |
0.0031 | 1969.0 | 789569 | 2.8107 | {'f1': 0.8419705694177864} | {'accuracy': 0.763183125599233} |
0.0031 | 1970.0 | 789970 | 2.8275 | {'f1': 0.8416347381864623} | {'accuracy': 0.7622243528283796} |
0.0014 | 1971.0 | 790371 | 2.8171 | {'f1': 0.8434504792332268} | {'accuracy': 0.7651006711409396} |
0.0026 | 1972.0 | 790772 | 2.8162 | {'f1': 0.8434504792332268} | {'accuracy': 0.7651006711409396} |
0.0016 | 1973.0 | 791173 | 2.8248 | {'f1': 0.8439897698209718} | {'accuracy': 0.7660594439117929} |
0.0016 | 1974.0 | 791574 | 2.8098 | {'f1': 0.8430493273542601} | {'accuracy': 0.7651006711409396} |
0.0016 | 1975.0 | 791975 | 2.8264 | {'f1': 0.8439897698209718} | {'accuracy': 0.7660594439117929} |
0.0014 | 1976.0 | 792376 | 2.8358 | {'f1': 0.8439897698209718} | {'accuracy': 0.7660594439117929} |
0.0014 | 1977.0 | 792777 | 2.8426 | {'f1': 0.8434504792332268} | {'accuracy': 0.7651006711409396} |
0.0021 | 1978.0 | 793178 | 2.8244 | {'f1': 0.8443305573350417} | {'accuracy': 0.7670182166826462} |
0.0025 | 1979.0 | 793579 | 2.8425 | {'f1': 0.8439897698209718} | {'accuracy': 0.7660594439117929} |
0.0025 | 1980.0 | 793980 | 2.8613 | {'f1': 0.8447284345047924} | {'accuracy': 0.7670182166826462} |
0.0012 | 1981.0 | 794381 | 2.8741 | {'f1': 0.8449266113592852} | {'accuracy': 0.7670182166826462} |
0.0012 | 1982.0 | 794782 | 2.8650 | {'f1': 0.8443877551020408} | {'accuracy': 0.7660594439117929} |
0.0022 | 1983.0 | 795183 | 2.8685 | {'f1': 0.8438495857233907} | {'accuracy': 0.7651006711409396} |
0.0022 | 1984.0 | 795584 | 2.8866 | {'f1': 0.8435114503816794} | {'accuracy': 0.7641418983700863} |
0.0022 | 1985.0 | 795985 | 2.8783 | {'f1': 0.8431746031746032} | {'accuracy': 0.763183125599233} |
0.0033 | 1986.0 | 796386 | 2.8756 | {'f1': 0.8431746031746032} | {'accuracy': 0.763183125599233} |
0.0023 | 1987.0 | 796787 | 2.8828 | {'f1': 0.8421052631578947} | {'accuracy': 0.7612655800575263} |
0.0035 | 1988.0 | 797188 | 2.8891 | {'f1': 0.8421052631578947} | {'accuracy': 0.7612655800575263} |
0.002 | 1989.0 | 797589 | 2.8794 | {'f1': 0.8421052631578947} | {'accuracy': 0.7612655800575263} |
0.002 | 1990.0 | 797990 | 2.8853 | {'f1': 0.8421052631578947} | {'accuracy': 0.7612655800575263} |
0.0014 | 1991.0 | 798391 | 2.8792 | {'f1': 0.8431746031746032} | {'accuracy': 0.763183125599233} |
0.0026 | 1992.0 | 798792 | 2.8799 | {'f1': 0.8424396442185516} | {'accuracy': 0.7622243528283796} |
0.0023 | 1993.0 | 799193 | 2.8842 | {'f1': 0.8424396442185516} | {'accuracy': 0.7622243528283796} |
0.0009 | 1994.0 | 799594 | 2.8852 | {'f1': 0.8424396442185516} | {'accuracy': 0.7622243528283796} |
0.0009 | 1995.0 | 799995 | 2.8847 | {'f1': 0.8419047619047619} | {'accuracy': 0.7612655800575263} |
0.0017 | 1996.0 | 800396 | 2.8860 | {'f1': 0.8419047619047619} | {'accuracy': 0.7612655800575263} |
0.0032 | 1997.0 | 800797 | 2.8866 | {'f1': 0.8419047619047619} | {'accuracy': 0.7612655800575263} |
0.0013 | 1998.0 | 801198 | 2.8839 | {'f1': 0.8419047619047619} | {'accuracy': 0.7612655800575263} |
0.0022 | 1999.0 | 801599 | 2.8823 | {'f1': 0.8419047619047619} | {'accuracy': 0.7612655800575263} |
0.0018 | 2000.0 | 802000 | 2.8822 | {'f1': 0.8419047619047619} | {'accuracy': 0.7612655800575263} |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3