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bert-base-uncased-test_16_535
kwwww/bert-base-uncased-test_16_535
bert-base-uncased-test_16_535 is a machine learning model from kwwww. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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Updated Oct 16, 2023
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Oct 15, 2023
- Updated
- Oct 16, 2023
- SHA
- 3583235a
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
bert-base-uncased-test_16_535
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: 3.4602
- F1: {'f1': 0.8391959798994975}
- Accuracy: {'accuracy': 0.7545541706615532}
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 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 | 34 | 0.6290 | {'f1': 0.8167895632444696} | {'accuracy': 0.6903163950143816} |
| No log | 2.0 | 68 | 0.6274 | {'f1': 0.8167895632444696} | {'accuracy': 0.6903163950143816} |
| No log | 3.0 | 102 | 0.6252 | {'f1': 0.8167895632444696} | {'accuracy': 0.6903163950143816} |
| No log | 4.0 | 136 | 0.6251 | {'f1': 0.8179239931934204} | {'accuracy': 0.6922339405560882} |
| No log | 5.0 | 170 | 0.6246 | {'f1': 0.8179239931934204} | {'accuracy': 0.6922339405560882} |
| No log | 6.0 | 204 | 0.6136 | {'f1': 0.8179239931934204} | {'accuracy': 0.6922339405560882} |
| No log | 7.0 | 238 | 0.6178 | {'f1': 0.81838819523269} | {'accuracy': 0.6931927133269415} |
| No log | 8.0 | 272 | 0.6112 | {'f1': 0.8179749715585892} | {'accuracy': 0.6931927133269415} |
| No log | 9.0 | 306 | 0.6028 | {'f1': 0.8173515981735159} | {'accuracy': 0.6931927133269415} |
| No log | 10.0 | 340 | 0.5813 | {'f1': 0.8187683284457478} | {'accuracy': 0.7037392138063279} |
| No log | 11.0 | 374 | 0.5890 | {'f1': 0.8234610917537746} | {'accuracy': 0.7085330776605945} |
| No log | 12.0 | 408 | 0.5631 | {'f1': 0.8330319469559975} | {'accuracy': 0.7344199424736337} |
| No log | 13.0 | 442 | 0.6507 | {'f1': 0.8307873090481785} | {'accuracy': 0.7238734419942474} |
| No log | 14.0 | 476 | 0.6269 | {'f1': 0.8347205707491082} | {'accuracy': 0.7334611697027804} |
| 0.5155 | 15.0 | 510 | 0.5856 | {'f1': 0.8366093366093366} | {'accuracy': 0.7449664429530202} |
| 0.5155 | 16.0 | 544 | 0.6232 | {'f1': 0.8405620036652413} | {'accuracy': 0.7497603068072867} |
| 0.5155 | 17.0 | 578 | 0.6568 | {'f1': 0.8360556563823351} | {'accuracy': 0.7401725790987536} |
| 0.5155 | 18.0 | 612 | 0.6778 | {'f1': 0.8416565164433618} | {'accuracy': 0.75071907957814} |
| 0.5155 | 19.0 | 646 | 0.7373 | {'f1': 0.8395657418576598} | {'accuracy': 0.7449664429530202} |
| 0.5155 | 20.0 | 680 | 0.6615 | {'f1': 0.8373531230674086} | {'accuracy': 0.74784276126558} |
| 0.5155 | 21.0 | 714 | 0.8051 | {'f1': 0.8383594692400483} | {'accuracy': 0.7430488974113135} |
| 0.5155 | 22.0 | 748 | 0.7765 | {'f1': 0.8386308068459658} | {'accuracy': 0.7468839884947267} |
| 0.5155 | 23.0 | 782 | 0.7695 | {'f1': 0.839073262366938} | {'accuracy': 0.7535953978907} |
| 0.5155 | 24.0 | 816 | 0.7644 | {'f1': 0.843297671491504} | {'accuracy': 0.7612655800575263} |
| 0.5155 | 25.0 | 850 | 0.8090 | {'f1': 0.844002486016159} | {'accuracy': 0.7593480345158198} |
| 0.5155 | 26.0 | 884 | 0.8430 | {'f1': 0.8419737663960025} | {'accuracy': 0.7574304889741131} |
| 0.5155 | 27.0 | 918 | 0.8578 | {'f1': 0.8393194706994328} | {'accuracy': 0.7555129434324065} |
| 0.5155 | 28.0 | 952 | 0.8818 | {'f1': 0.8409805153991201} | {'accuracy': 0.7574304889741131} |
| 0.5155 | 29.0 | 986 | 0.9517 | {'f1': 0.8421052631578948} | {'accuracy': 0.7555129434324065} |
| 0.2477 | 30.0 | 1020 | 1.1130 | {'f1': 0.8364741641337385} | {'accuracy': 0.7420901246404602} |
| 0.2477 | 31.0 | 1054 | 1.0485 | {'f1': 0.837954405422058} | {'accuracy': 0.74784276126558} |
| 0.2477 | 32.0 | 1088 | 1.0609 | {'f1': 0.8381070983810709} | {'accuracy': 0.75071907957814} |
| 0.2477 | 33.0 | 1122 | 0.9798 | {'f1': 0.8361290322580646} | {'accuracy': 0.7564717162032598} |
| 0.2477 | 34.0 | 1156 | 1.0213 | {'f1': 0.843650287172942} | {'accuracy': 0.7651006711409396} |
| 0.2477 | 35.0 | 1190 | 1.1001 | {'f1': 0.8452830188679246} | {'accuracy': 0.7641418983700863} |
| 0.2477 | 36.0 | 1224 | 1.1814 | {'f1': 0.8402734617775015} | {'accuracy': 0.7535953978907} |
| 0.2477 | 37.0 | 1258 | 1.1825 | {'f1': 0.8431618569636137} | {'accuracy': 0.7603068072866731} |
| 0.2477 | 38.0 | 1292 | 1.2292 | {'f1': 0.8449466415568111} | {'accuracy': 0.763183125599233} |
| 0.2477 | 39.0 | 1326 | 1.1645 | {'f1': 0.8372395833333335} | {'accuracy': 0.7603068072866731} |
| 0.2477 | 40.0 | 1360 | 1.3783 | {'f1': 0.8405438813349814} | {'accuracy': 0.7526366251198466} |
| 0.2477 | 41.0 | 1394 | 1.4388 | {'f1': 0.8418461538461539} | {'accuracy': 0.7535953978907} |
| 0.2477 | 42.0 | 1428 | 1.4159 | {'f1': 0.8412600370599136} | {'accuracy': 0.7535953978907} |
| 0.2477 | 43.0 | 1462 | 1.4079 | {'f1': 0.8421052631578948} | {'accuracy': 0.7583892617449665} |
| 0.2477 | 44.0 | 1496 | 1.3515 | {'f1': 0.839821314613912} | {'accuracy': 0.7593480345158198} |
| 0.0896 | 45.0 | 1530 | 1.5365 | {'f1': 0.8408113091579594} | {'accuracy': 0.7516778523489933} |
| 0.0896 | 46.0 | 1564 | 1.5318 | {'f1': 0.8394296342219467} | {'accuracy': 0.7516778523489933} |
| 0.0896 | 47.0 | 1598 | 1.4766 | {'f1': 0.843297671491504} | {'accuracy': 0.7612655800575263} |
| 0.0896 | 48.0 | 1632 | 1.4258 | {'f1': 0.8437900128040973} | {'accuracy': 0.7660594439117929} |
| 0.0896 | 49.0 | 1666 | 1.4192 | {'f1': 0.845518118245391} | {'accuracy': 0.7670182166826462} |
| 0.0896 | 50.0 | 1700 | 1.4329 | {'f1': 0.8419023136246786} | {'accuracy': 0.7641418983700863} |
| 0.0896 | 51.0 | 1734 | 1.6575 | {'f1': 0.8423645320197044} | {'accuracy': 0.7545541706615532} |
| 0.0896 | 52.0 | 1768 | 1.5449 | {'f1': 0.8377358490566037} | {'accuracy': 0.7526366251198466} |
| 0.0896 | 53.0 | 1802 | 1.5137 | {'f1': 0.8401534526854221} | {'accuracy': 0.7603068072866731} |
| 0.0896 | 54.0 | 1836 | 1.5939 | {'f1': 0.8385876418663304} | {'accuracy': 0.7545541706615532} |
| 0.0896 | 55.0 | 1870 | 1.6615 | {'f1': 0.8384279475982533} | {'accuracy': 0.7516778523489933} |
| 0.0896 | 56.0 | 1904 | 1.6269 | {'f1': 0.8382261086820737} | {'accuracy': 0.7516778523489933} |
| 0.0896 | 57.0 | 1938 | 1.7063 | {'f1': 0.8371517027863778} | {'accuracy': 0.74784276126558} |
| 0.0896 | 58.0 | 1972 | 1.6755 | {'f1': 0.837468982630273} | {'accuracy': 0.7488015340364333} |
| 0.0471 | 59.0 | 2006 | 1.8673 | {'f1': 0.833029751062538} | {'accuracy': 0.7363374880153404} |
| 0.0471 | 60.0 | 2040 | 1.6474 | {'f1': 0.8434343434343433} | {'accuracy': 0.7622243528283796} |
| 0.0471 | 61.0 | 2074 | 1.6060 | {'f1': 0.8400770712909442} | {'accuracy': 0.7612655800575263} |
| 0.0471 | 62.0 | 2108 | 1.6977 | {'f1': 0.8417721518987342} | {'accuracy': 0.7603068072866731} |
| 0.0471 | 63.0 | 2142 | 1.8631 | {'f1': 0.8386699507389164} | {'accuracy': 0.7488015340364333} |
| 0.0471 | 64.0 | 2176 | 1.7244 | {'f1': 0.8383005707038681} | {'accuracy': 0.7555129434324065} |
| 0.0471 | 65.0 | 2210 | 1.7629 | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0471 | 66.0 | 2244 | 1.8566 | {'f1': 0.8362282878411912} | {'accuracy': 0.7468839884947267} |
| 0.0471 | 67.0 | 2278 | 1.9643 | {'f1': 0.8364972443355787} | {'accuracy': 0.7440076701821668} |
| 0.0471 | 68.0 | 2312 | 1.9447 | {'f1': 0.8346650276582667} | {'accuracy': 0.7420901246404602} |
| 0.0471 | 69.0 | 2346 | 1.7232 | {'f1': 0.8421725239616613} | {'accuracy': 0.763183125599233} |
| 0.0471 | 70.0 | 2380 | 1.7151 | {'f1': 0.8384615384615385} | {'accuracy': 0.7583892617449665} |
| 0.0471 | 71.0 | 2414 | 1.7411 | {'f1': 0.8368253968253969} | {'accuracy': 0.7535953978907} |
| 0.0471 | 72.0 | 2448 | 1.7967 | {'f1': 0.8404522613065327} | {'accuracy': 0.7564717162032598} |
| 0.0471 | 73.0 | 2482 | 1.8218 | {'f1': 0.8423028785982478} | {'accuracy': 0.7583892617449665} |
| 0.0278 | 74.0 | 2516 | 1.7536 | {'f1': 0.8346153846153845} | {'accuracy': 0.7526366251198466} |
| 0.0278 | 75.0 | 2550 | 1.8290 | {'f1': 0.8415779586725111} | {'accuracy': 0.7574304889741131} |
| 0.0278 | 76.0 | 2584 | 1.9225 | {'f1': 0.8405438813349814} | {'accuracy': 0.7526366251198466} |
| 0.0278 | 77.0 | 2618 | 2.0916 | {'f1': 0.8350578210590383} | {'accuracy': 0.7401725790987536} |
| 0.0278 | 78.0 | 2652 | 1.7630 | {'f1': 0.8355899419729207} | {'accuracy': 0.7555129434324065} |
| 0.0278 | 79.0 | 2686 | 1.9106 | {'f1': 0.8421052631578948} | {'accuracy': 0.7583892617449665} |
| 0.0278 | 80.0 | 2720 | 1.9050 | {'f1': 0.8446115288220551} | {'accuracy': 0.7622243528283796} |
| 0.0278 | 81.0 | 2754 | 1.9276 | {'f1': 0.8450000000000001} | {'accuracy': 0.7622243528283796} |
| 0.0278 | 82.0 | 2788 | 1.9414 | {'f1': 0.8442776735459662} | {'accuracy': 0.7612655800575263} |
| 0.0278 | 83.0 | 2822 | 2.0313 | {'f1': 0.8419094854308741} | {'accuracy': 0.7555129434324065} |
| 0.0278 | 84.0 | 2856 | 2.0073 | {'f1': 0.8432835820895522} | {'accuracy': 0.7583892617449665} |
| 0.0278 | 85.0 | 2890 | 1.9976 | {'f1': 0.8434782608695651} | {'accuracy': 0.7583892617449665} |
| 0.0278 | 86.0 | 2924 | 1.8581 | {'f1': 0.8375080282594733} | {'accuracy': 0.7574304889741131} |
| 0.0278 | 87.0 | 2958 | 1.9573 | {'f1': 0.8411801632140615} | {'accuracy': 0.7574304889741131} |
| 0.0278 | 88.0 | 2992 | 1.9758 | {'f1': 0.8456712672521958} | {'accuracy': 0.7641418983700863} |
| 0.0146 | 89.0 | 3026 | 2.1224 | {'f1': 0.8405438813349814} | {'accuracy': 0.7526366251198466} |
| 0.0146 | 90.0 | 3060 | 2.0026 | {'f1': 0.8418399495904222} | {'accuracy': 0.7593480345158198} |
| 0.0146 | 91.0 | 3094 | 2.1244 | {'f1': 0.8402220851326342} | {'accuracy': 0.7516778523489933} |
| 0.0146 | 92.0 | 3128 | 2.0497 | {'f1': 0.8402734617775015} | {'accuracy': 0.7535953978907} |
| 0.0146 | 93.0 | 3162 | 1.8572 | {'f1': 0.8289473684210527} | {'accuracy': 0.75071907957814} |
| 0.0146 | 94.0 | 3196 | 2.0854 | {'f1': 0.8418430884184309} | {'accuracy': 0.7564717162032598} |
| 0.0146 | 95.0 | 3230 | 2.0927 | {'f1': 0.8417132216014898} | {'accuracy': 0.7555129434324065} |
| 0.0146 | 96.0 | 3264 | 2.0346 | {'f1': 0.8404522613065327} | {'accuracy': 0.7564717162032598} |
| 0.0146 | 97.0 | 3298 | 1.9551 | {'f1': 0.8385449904275686} | {'accuracy': 0.7574304889741131} |
| 0.0146 | 98.0 | 3332 | 1.9431 | {'f1': 0.8416347381864623} | {'accuracy': 0.7622243528283796} |
| 0.0146 | 99.0 | 3366 | 2.1328 | {'f1': 0.8427594779366064} | {'accuracy': 0.7574304889741131} |
| 0.0146 | 100.0 | 3400 | 1.9871 | {'f1': 0.8400254939451881} | {'accuracy': 0.7593480345158198} |
| 0.0146 | 101.0 | 3434 | 2.0223 | {'f1': 0.8399746995572422} | {'accuracy': 0.7574304889741131} |
| 0.0146 | 102.0 | 3468 | 2.0622 | {'f1': 0.8397997496871088} | {'accuracy': 0.7545541706615532} |
| 0.0203 | 103.0 | 3502 | 2.0059 | {'f1': 0.8420382165605096} | {'accuracy': 0.7622243528283796} |
| 0.0203 | 104.0 | 3536 | 2.1729 | {'f1': 0.8399503722084367} | {'accuracy': 0.7526366251198466} |
| 0.0203 | 105.0 | 3570 | 1.9968 | {'f1': 0.8386683738796414} | {'accuracy': 0.7583892617449665} |
| 0.0203 | 106.0 | 3604 | 2.1000 | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0203 | 107.0 | 3638 | 1.9776 | {'f1': 0.8380462724935733} | {'accuracy': 0.7583892617449665} |
| 0.0203 | 108.0 | 3672 | 2.1636 | {'f1': 0.842170929507174} | {'accuracy': 0.7574304889741131} |
| 0.0203 | 109.0 | 3706 | 2.0026 | {'f1': 0.8353619474695709} | {'accuracy': 0.7535953978907} |
| 0.0203 | 110.0 | 3740 | 2.0159 | {'f1': 0.8389560789306174} | {'accuracy': 0.7574304889741131} |
| 0.0203 | 111.0 | 3774 | 2.0359 | {'f1': 0.8349267049075845} | {'accuracy': 0.7516778523489933} |
| 0.0203 | 112.0 | 3808 | 2.1721 | {'f1': 0.8409937888198759} | {'accuracy': 0.7545541706615532} |
| 0.0203 | 113.0 | 3842 | 2.1287 | {'f1': 0.840251572327044} | {'accuracy': 0.7564717162032598} |
| 0.0203 | 114.0 | 3876 | 2.1114 | {'f1': 0.8405797101449275} | {'accuracy': 0.7574304889741131} |
| 0.0203 | 115.0 | 3910 | 2.1644 | {'f1': 0.841708542713568} | {'accuracy': 0.7583892617449665} |
| 0.0203 | 116.0 | 3944 | 2.2183 | {'f1': 0.839030453697949} | {'accuracy': 0.7516778523489933} |
| 0.0203 | 117.0 | 3978 | 2.0891 | {'f1': 0.8385053831538949} | {'accuracy': 0.7555129434324065} |
| 0.0155 | 118.0 | 4012 | 2.0074 | {'f1': 0.8385012919896642} | {'accuracy': 0.7603068072866731} |
| 0.0155 | 119.0 | 4046 | 2.1334 | {'f1': 0.8401253918495297} | {'accuracy': 0.7555129434324065} |
| 0.0155 | 120.0 | 4080 | 2.0441 | {'f1': 0.8395378690629013} | {'accuracy': 0.7603068072866731} |
| 0.0155 | 121.0 | 4114 | 2.0961 | {'f1': 0.8376830044557607} | {'accuracy': 0.7555129434324065} |
| 0.0155 | 122.0 | 4148 | 2.1073 | {'f1': 0.8384223918575064} | {'accuracy': 0.7564717162032598} |
| 0.0155 | 123.0 | 4182 | 2.1261 | {'f1': 0.8384223918575064} | {'accuracy': 0.7564717162032598} |
| 0.0155 | 124.0 | 4216 | 2.2520 | {'f1': 0.8381897086174829} | {'accuracy': 0.7497603068072867} |
| 0.0155 | 125.0 | 4250 | 2.0553 | {'f1': 0.8349641226353556} | {'accuracy': 0.7574304889741131} |
| 0.0155 | 126.0 | 4284 | 2.2367 | {'f1': 0.8381070983810709} | {'accuracy': 0.75071907957814} |
| 0.0155 | 127.0 | 4318 | 2.3076 | {'f1': 0.8393846153846154} | {'accuracy': 0.7497603068072867} |
| 0.0155 | 128.0 | 4352 | 2.1961 | {'f1': 0.835538752362949} | {'accuracy': 0.7497603068072867} |
| 0.0155 | 129.0 | 4386 | 2.0988 | {'f1': 0.8360337005832793} | {'accuracy': 0.7574304889741131} |
| 0.0155 | 130.0 | 4420 | 2.1998 | {'f1': 0.842039018250472} | {'accuracy': 0.7593480345158198} |
| 0.0155 | 131.0 | 4454 | 2.1090 | {'f1': 0.8377504848093084} | {'accuracy': 0.7593480345158198} |
| 0.0155 | 132.0 | 4488 | 2.1998 | {'f1': 0.8417721518987342} | {'accuracy': 0.7603068072866731} |
| 0.0106 | 133.0 | 4522 | 2.1535 | {'f1': 0.839821314613912} | {'accuracy': 0.7593480345158198} |
| 0.0106 | 134.0 | 4556 | 2.2231 | {'f1': 0.8437499999999999} | {'accuracy': 0.7603068072866731} |
| 0.0106 | 135.0 | 4590 | 2.1219 | {'f1': 0.834190231362468} | {'accuracy': 0.7526366251198466} |
| 0.0106 | 136.0 | 4624 | 2.1088 | {'f1': 0.8332251784555484} | {'accuracy': 0.7535953978907} |
| 0.0106 | 137.0 | 4658 | 2.2496 | {'f1': 0.8395522388059702} | {'accuracy': 0.7526366251198466} |
| 0.0106 | 138.0 | 4692 | 2.1308 | {'f1': 0.8385449904275686} | {'accuracy': 0.7574304889741131} |
| 0.0106 | 139.0 | 4726 | 2.2872 | {'f1': 0.8399503722084367} | {'accuracy': 0.7526366251198466} |
| 0.0106 | 140.0 | 4760 | 2.1879 | {'f1': 0.8409090909090908} | {'accuracy': 0.7583892617449665} |
| 0.0106 | 141.0 | 4794 | 2.1646 | {'f1': 0.841300191204589} | {'accuracy': 0.7612655800575263} |
| 0.0106 | 142.0 | 4828 | 2.1105 | {'f1': 0.8339869281045752} | {'accuracy': 0.7564717162032598} |
| 0.0106 | 143.0 | 4862 | 2.2799 | {'f1': 0.8411801632140615} | {'accuracy': 0.7574304889741131} |
| 0.0106 | 144.0 | 4896 | 2.1721 | {'f1': 0.8330084470435347} | {'accuracy': 0.7535953978907} |
| 0.0106 | 145.0 | 4930 | 2.2596 | {'f1': 0.8400503778337531} | {'accuracy': 0.7564717162032598} |
| 0.0106 | 146.0 | 4964 | 2.2096 | {'f1': 0.8394113883557262} | {'accuracy': 0.7593480345158198} |
| 0.0106 | 147.0 | 4998 | 2.1835 | {'f1': 0.8390433096315449} | {'accuracy': 0.7612655800575263} |
| 0.0098 | 148.0 | 5032 | 2.2462 | {'f1': 0.844106463878327} | {'accuracy': 0.7641418983700863} |
| 0.0098 | 149.0 | 5066 | 2.1821 | {'f1': 0.8371187540558079} | {'accuracy': 0.7593480345158198} |
| 0.0098 | 150.0 | 5100 | 2.2533 | {'f1': 0.846641318124208} | {'accuracy': 0.7679769894534996} |
| 0.0098 | 151.0 | 5134 | 2.3029 | {'f1': 0.8427672955974843} | {'accuracy': 0.7603068072866731} |
| 0.0098 | 152.0 | 5168 | 2.2849 | {'f1': 0.8412397216951296} | {'accuracy': 0.7593480345158198} |
| 0.0098 | 153.0 | 5202 | 2.3098 | {'f1': 0.8446115288220551} | {'accuracy': 0.7622243528283796} |
| 0.0098 | 154.0 | 5236 | 2.3253 | {'f1': 0.8446115288220551} | {'accuracy': 0.7622243528283796} |
| 0.0098 | 155.0 | 5270 | 2.3003 | {'f1': 0.8444165621079048} | {'accuracy': 0.7622243528283796} |
| 0.0098 | 156.0 | 5304 | 2.3194 | {'f1': 0.8455790784557908} | {'accuracy': 0.7622243528283796} |
| 0.0098 | 157.0 | 5338 | 2.3352 | {'f1': 0.8471615720524018} | {'accuracy': 0.7651006711409396} |
| 0.0098 | 158.0 | 5372 | 2.2277 | {'f1': 0.8406169665809768} | {'accuracy': 0.7622243528283796} |
| 0.0098 | 159.0 | 5406 | 2.3006 | {'f1': 0.8426395939086295} | {'accuracy': 0.7622243528283796} |
| 0.0098 | 160.0 | 5440 | 2.2040 | {'f1': 0.8339869281045752} | {'accuracy': 0.7564717162032598} |
| 0.0098 | 161.0 | 5474 | 2.1621 | {'f1': 0.8347485303723058} | {'accuracy': 0.7574304889741131} |
| 0.0109 | 162.0 | 5508 | 2.2833 | {'f1': 0.8419047619047619} | {'accuracy': 0.7612655800575263} |
| 0.0109 | 163.0 | 5542 | 2.3822 | {'f1': 0.8446662507797879} | {'accuracy': 0.7612655800575263} |
| 0.0109 | 164.0 | 5576 | 2.4010 | {'f1': 0.8452454940957116} | {'accuracy': 0.7612655800575263} |
| 0.0109 | 165.0 | 5610 | 2.2678 | {'f1': 0.8393316195372751} | {'accuracy': 0.7603068072866731} |
| 0.0109 | 166.0 | 5644 | 2.3334 | {'f1': 0.8429752066115702} | {'accuracy': 0.763183125599233} |
| 0.0109 | 167.0 | 5678 | 2.3240 | {'f1': 0.8369704749679076} | {'accuracy': 0.7564717162032598} |
| 0.0109 | 168.0 | 5712 | 2.3419 | {'f1': 0.8363171355498722} | {'accuracy': 0.7545541706615532} |
| 0.0109 | 169.0 | 5746 | 2.4900 | {'f1': 0.8412600370599136} | {'accuracy': 0.7535953978907} |
| 0.0109 | 170.0 | 5780 | 2.3639 | {'f1': 0.8438871473354232} | {'accuracy': 0.7612655800575263} |
| 0.0109 | 171.0 | 5814 | 2.2685 | {'f1': 0.8378378378378379} | {'accuracy': 0.7583892617449665} |
| 0.0109 | 172.0 | 5848 | 2.5680 | {'f1': 0.8385922330097086} | {'accuracy': 0.7449664429530202} |
| 0.0109 | 173.0 | 5882 | 2.1783 | {'f1': 0.8419047619047619} | {'accuracy': 0.7612655800575263} |
| 0.0109 | 174.0 | 5916 | 2.0917 | {'f1': 0.8380462724935733} | {'accuracy': 0.7583892617449665} |
| 0.0109 | 175.0 | 5950 | 2.1091 | {'f1': 0.8384166125892277} | {'accuracy': 0.7612655800575263} |
| 0.0109 | 176.0 | 5984 | 2.1659 | {'f1': 0.8412291933418694} | {'accuracy': 0.7622243528283796} |
| 0.0104 | 177.0 | 6018 | 2.3873 | {'f1': 0.8437306979617049} | {'accuracy': 0.7574304889741131} |
| 0.0104 | 178.0 | 6052 | 2.1769 | {'f1': 0.843236409608091} | {'accuracy': 0.7622243528283796} |
| 0.0104 | 179.0 | 6086 | 2.1418 | {'f1': 0.8401534526854221} | {'accuracy': 0.7603068072866731} |
| 0.0104 | 180.0 | 6120 | 2.3104 | {'f1': 0.8432229856339788} | {'accuracy': 0.7593480345158198} |
| 0.0104 | 181.0 | 6154 | 2.1719 | {'f1': 0.8381689232753062} | {'accuracy': 0.7593480345158198} |
| 0.0104 | 182.0 | 6188 | 2.4002 | {'f1': 0.8381897086174829} | {'accuracy': 0.7497603068072867} |
| 0.0104 | 183.0 | 6222 | 2.3276 | {'f1': 0.84078036500944} | {'accuracy': 0.7574304889741131} |
| 0.0104 | 184.0 | 6256 | 2.3433 | {'f1': 0.8413098236775819} | {'accuracy': 0.7583892617449665} |
| 0.0104 | 185.0 | 6290 | 2.7125 | {'f1': 0.8338368580060423} | {'accuracy': 0.7363374880153404} |
| 0.0104 | 186.0 | 6324 | 2.2872 | {'f1': 0.842911877394636} | {'accuracy': 0.7641418983700863} |
| 0.0104 | 187.0 | 6358 | 2.2043 | {'f1': 0.842443729903537} | {'accuracy': 0.7651006711409396} |
| 0.0104 | 188.0 | 6392 | 2.3637 | {'f1': 0.8448598130841122} | {'accuracy': 0.7612655800575263} |
| 0.0104 | 189.0 | 6426 | 2.2187 | {'f1': 0.8384166125892277} | {'accuracy': 0.7612655800575263} |
| 0.0104 | 190.0 | 6460 | 2.6381 | {'f1': 0.8382798304058148} | {'accuracy': 0.7440076701821668} |
| 0.0104 | 191.0 | 6494 | 2.1810 | {'f1': 0.8346354166666669} | {'accuracy': 0.7564717162032598} |
| 0.0086 | 192.0 | 6528 | 2.2396 | {'f1': 0.8451242829827915} | {'accuracy': 0.7670182166826462} |
| 0.0086 | 193.0 | 6562 | 2.1954 | {'f1': 0.8289473684210527} | {'accuracy': 0.75071907957814} |
| 0.0086 | 194.0 | 6596 | 2.2838 | {'f1': 0.8456632653061223} | {'accuracy': 0.7679769894534996} |
| 0.0086 | 195.0 | 6630 | 2.2866 | {'f1': 0.8449266113592852} | {'accuracy': 0.7670182166826462} |
| 0.0086 | 196.0 | 6664 | 2.2259 | {'f1': 0.8323471400394478} | {'accuracy': 0.7555129434324065} |
| 0.0086 | 197.0 | 6698 | 2.3507 | {'f1': 0.8457142857142858} | {'accuracy': 0.7670182166826462} |
| 0.0086 | 198.0 | 6732 | 2.2460 | {'f1': 0.8349769888231428} | {'accuracy': 0.7593480345158198} |
| 0.0086 | 199.0 | 6766 | 2.3341 | {'f1': 0.8504435994930292} | {'accuracy': 0.7737296260786194} |
| 0.0086 | 200.0 | 6800 | 2.3180 | {'f1': 0.8500948766603417} | {'accuracy': 0.7727708533077661} |
| 0.0086 | 201.0 | 6834 | 2.1842 | {'f1': 0.8381201044386423} | {'accuracy': 0.7622243528283796} |
| 0.0086 | 202.0 | 6868 | 2.1754 | {'f1': 0.8361730013106159} | {'accuracy': 0.7603068072866731} |
| 0.0086 | 203.0 | 6902 | 2.2473 | {'f1': 0.8460559796437659} | {'accuracy': 0.7679769894534996} |
| 0.0086 | 204.0 | 6936 | 2.9134 | {'f1': 0.8379821958456972} | {'accuracy': 0.738255033557047} |
| 0.0086 | 205.0 | 6970 | 2.5587 | {'f1': 0.8396111786148239} | {'accuracy': 0.7468839884947267} |
| 0.0113 | 206.0 | 7004 | 2.1203 | {'f1': 0.84107259646828} | {'accuracy': 0.7670182166826462} |
| 0.0113 | 207.0 | 7038 | 2.3156 | {'f1': 0.8475420037336653} | {'accuracy': 0.7651006711409396} |
| 0.0113 | 208.0 | 7072 | 2.1289 | {'f1': 0.8389610389610391} | {'accuracy': 0.7622243528283796} |
| 0.0113 | 209.0 | 7106 | 2.2731 | {'f1': 0.8497800125707102} | {'accuracy': 0.7708533077660594} |
| 0.0113 | 210.0 | 7140 | 2.1861 | {'f1': 0.8420373952288847} | {'accuracy': 0.7651006711409396} |
| 0.0113 | 211.0 | 7174 | 2.4715 | {'f1': 0.8478126925446704} | {'accuracy': 0.763183125599233} |
| 0.0113 | 212.0 | 7208 | 2.1161 | {'f1': 0.8236914600550963} | {'accuracy': 0.7545541706615532} |
| 0.0113 | 213.0 | 7242 | 2.1706 | {'f1': 0.8425096030729833} | {'accuracy': 0.7641418983700863} |
| 0.0113 | 214.0 | 7276 | 2.2738 | {'f1': 0.851010101010101} | {'accuracy': 0.7737296260786194} |
| 0.0113 | 215.0 | 7310 | 2.2877 | {'f1': 0.8459099556119215} | {'accuracy': 0.7670182166826462} |
| 0.0113 | 216.0 | 7344 | 2.3012 | {'f1': 0.8459099556119215} | {'accuracy': 0.7670182166826462} |
| 0.0113 | 217.0 | 7378 | 2.3190 | {'f1': 0.846641318124208} | {'accuracy': 0.7679769894534996} |
| 0.0113 | 218.0 | 7412 | 2.5086 | {'f1': 0.8463911165946946} | {'accuracy': 0.7612655800575263} |
| 0.0113 | 219.0 | 7446 | 2.3970 | {'f1': 0.8473091364205256} | {'accuracy': 0.7660594439117929} |
| 0.0113 | 220.0 | 7480 | 2.2260 | {'f1': 0.8412903225806452} | {'accuracy': 0.7641418983700863} |
| 0.0095 | 221.0 | 7514 | 2.2546 | {'f1': 0.8417721518987342} | {'accuracy': 0.7603068072866731} |
| 0.0095 | 222.0 | 7548 | 2.2881 | {'f1': 0.846641318124208} | {'accuracy': 0.7679769894534996} |
| 0.0095 | 223.0 | 7582 | 2.2982 | {'f1': 0.8481411468178953} | {'accuracy': 0.7689357622243528} |
| 0.0095 | 224.0 | 7616 | 2.3669 | {'f1': 0.8473520249221185} | {'accuracy': 0.7651006711409396} |
| 0.0095 | 225.0 | 7650 | 2.1390 | {'f1': 0.8414239482200647} | {'accuracy': 0.7651006711409396} |
| 0.0095 | 226.0 | 7684 | 2.4351 | {'f1': 0.8467692307692308} | {'accuracy': 0.7612655800575263} |
| 0.0095 | 227.0 | 7718 | 2.1890 | {'f1': 0.8382541720154044} | {'accuracy': 0.7583892617449665} |
| 0.0095 | 228.0 | 7752 | 2.3498 | {'f1': 0.8444722048719551} | {'accuracy': 0.7612655800575263} |
| 0.0095 | 229.0 | 7786 | 2.2806 | {'f1': 0.845620667926906} | {'accuracy': 0.7651006711409396} |
| 0.0095 | 230.0 | 7820 | 2.3795 | {'f1': 0.8437499999999999} | {'accuracy': 0.7603068072866731} |
| 0.0095 | 231.0 | 7854 | 2.3482 | {'f1': 0.8428390367553865} | {'accuracy': 0.7622243528283796} |
| 0.0095 | 232.0 | 7888 | 2.3239 | {'f1': 0.844106463878327} | {'accuracy': 0.7641418983700863} |
| 0.0095 | 233.0 | 7922 | 2.4025 | {'f1': 0.8441396508728181} | {'accuracy': 0.7603068072866731} |
| 0.0095 | 234.0 | 7956 | 2.2347 | {'f1': 0.8421733505821475} | {'accuracy': 0.7660594439117929} |
| 0.0095 | 235.0 | 7990 | 2.2863 | {'f1': 0.843650287172942} | {'accuracy': 0.7651006711409396} |
| 0.0065 | 236.0 | 8024 | 2.5848 | {'f1': 0.8375229920294298} | {'accuracy': 0.7459252157238735} |
| 0.0065 | 237.0 | 8058 | 2.6884 | {'f1': 0.8398058252427185} | {'accuracy': 0.7468839884947267} |
| 0.0065 | 238.0 | 8092 | 2.4341 | {'f1': 0.8436137071651092} | {'accuracy': 0.7593480345158198} |
| 0.0065 | 239.0 | 8126 | 2.2822 | {'f1': 0.8380462724935733} | {'accuracy': 0.7583892617449665} |
| 0.0065 | 240.0 | 8160 | 2.3062 | {'f1': 0.8412291933418694} | {'accuracy': 0.7622243528283796} |
| 0.0065 | 241.0 | 8194 | 2.3330 | {'f1': 0.8396166134185302} | {'accuracy': 0.7593480345158198} |
| 0.0065 | 242.0 | 8228 | 2.3629 | {'f1': 0.8406349206349206} | {'accuracy': 0.7593480345158198} |
| 0.0065 | 243.0 | 8262 | 2.3821 | {'f1': 0.8425047438330171} | {'accuracy': 0.7612655800575263} |
| 0.0065 | 244.0 | 8296 | 2.4227 | {'f1': 0.8454773869346733} | {'accuracy': 0.7641418983700863} |
| 0.0065 | 245.0 | 8330 | 2.4613 | {'f1': 0.8465873512836568} | {'accuracy': 0.7651006711409396} |
| 0.0065 | 246.0 | 8364 | 2.4779 | {'f1': 0.8473091364205256} | {'accuracy': 0.7660594439117929} |
| 0.0065 | 247.0 | 8398 | 2.2809 | {'f1': 0.8364820846905537} | {'accuracy': 0.7593480345158198} |
| 0.0065 | 248.0 | 8432 | 2.3375 | {'f1': 0.8447517284726588} | {'accuracy': 0.763183125599233} |
| 0.0065 | 249.0 | 8466 | 2.2943 | {'f1': 0.8474148802017654} | {'accuracy': 0.7679769894534996} |
| 0.0048 | 250.0 | 8500 | 2.2874 | {'f1': 0.8437697659709045} | {'accuracy': 0.763183125599233} |
| 0.0048 | 251.0 | 8534 | 2.3495 | {'f1': 0.8454773869346733} | {'accuracy': 0.7641418983700863} |
| 0.0048 | 252.0 | 8568 | 2.2195 | {'f1': 0.8428479794740218} | {'accuracy': 0.7651006711409396} |
| 0.0048 | 253.0 | 8602 | 2.2957 | {'f1': 0.8468354430379746} | {'accuracy': 0.7679769894534996} |
| 0.0048 | 254.0 | 8636 | 2.3333 | {'f1': 0.8468809073724007} | {'accuracy': 0.7670182166826462} |
| 0.0048 | 255.0 | 8670 | 2.3021 | {'f1': 0.8409090909090908} | {'accuracy': 0.7583892617449665} |
| 0.0048 | 256.0 | 8704 | 2.2203 | {'f1': 0.8369636963696371} | {'accuracy': 0.763183125599233} |
| 0.0048 | 257.0 | 8738 | 2.2789 | {'f1': 0.8407479045776919} | {'accuracy': 0.763183125599233} |
| 0.0048 | 258.0 | 8772 | 2.6917 | {'f1': 0.8439587128111719} | {'accuracy': 0.7535953978907} |
| 0.0048 | 259.0 | 8806 | 2.3821 | {'f1': 0.8429022082018928} | {'accuracy': 0.7612655800575263} |
| 0.0048 | 260.0 | 8840 | 2.3406 | {'f1': 0.8346055979643766} | {'accuracy': 0.75071907957814} |
| 0.0048 | 261.0 | 8874 | 2.4332 | {'f1': 0.8415779586725111} | {'accuracy': 0.7574304889741131} |
| 0.0048 | 262.0 | 8908 | 2.3776 | {'f1': 0.8344958782498415} | {'accuracy': 0.7497603068072867} |
| 0.0048 | 263.0 | 8942 | 2.2821 | {'f1': 0.8360548661005879} | {'accuracy': 0.7593480345158198} |
| 0.0048 | 264.0 | 8976 | 2.5451 | {'f1': 0.8416512630930376} | {'accuracy': 0.7535953978907} |
| 0.0062 | 265.0 | 9010 | 2.5588 | {'f1': 0.8449660284126004} | {'accuracy': 0.7593480345158198} |
| 0.0062 | 266.0 | 9044 | 2.3861 | {'f1': 0.8500948766603417} | {'accuracy': 0.7727708533077661} |
| 0.0062 | 267.0 | 9078 | 2.5880 | {'f1': 0.8452088452088452} | {'accuracy': 0.7583892617449665} |
| 0.0062 | 268.0 | 9112 | 2.3555 | {'f1': 0.8389610389610391} | {'accuracy': 0.7622243528283796} |
| 0.0062 | 269.0 | 9146 | 2.4106 | {'f1': 0.8491761723700887} | {'accuracy': 0.7718120805369127} |
| 0.0062 | 270.0 | 9180 | 2.3277 | {'f1': 0.8436692506459949} | {'accuracy': 0.7679769894534996} |
| 0.0062 | 271.0 | 9214 | 2.3585 | {'f1': 0.8479495268138802} | {'accuracy': 0.7689357622243528} |
| 0.0062 | 272.0 | 9248 | 2.5677 | {'f1': 0.8446362515413072} | {'accuracy': 0.7583892617449665} |
| 0.0062 | 273.0 | 9282 | 2.3107 | {'f1': 0.8386675375571522} | {'accuracy': 0.763183125599233} |
| 0.0062 | 274.0 | 9316 | 2.4515 | {'f1': 0.849502487562189} | {'accuracy': 0.7679769894534996} |
| 0.0062 | 275.0 | 9350 | 2.2714 | {'f1': 0.8425806451612904} | {'accuracy': 0.7660594439117929} |
| 0.0062 | 276.0 | 9384 | 2.5433 | {'f1': 0.847247990105133} | {'accuracy': 0.763183125599233} |
| 0.0062 | 277.0 | 9418 | 2.2435 | {'f1': 0.8381578947368422} | {'accuracy': 0.7641418983700863} |
| 0.0062 | 278.0 | 9452 | 2.3457 | {'f1': 0.8488228004956629} | {'accuracy': 0.7660594439117929} |
| 0.0062 | 279.0 | 9486 | 2.1632 | {'f1': 0.8431245965138799} | {'accuracy': 0.7670182166826462} |
| 0.007 | 280.0 | 9520 | 2.2274 | {'f1': 0.8504137492043286} | {'accuracy': 0.7746883988494727} |
| 0.007 | 281.0 | 9554 | 2.3106 | {'f1': 0.8518987341772152} | {'accuracy': 0.775647171620326} |
| 0.007 | 282.0 | 9588 | 2.3713 | {'f1': 0.8490920475892298} | {'accuracy': 0.7689357622243528} |
| 0.007 | 283.0 | 9622 | 2.3418 | {'f1': 0.8506616257088847} | {'accuracy': 0.7727708533077661} |
| 0.007 | 284.0 | 9656 | 2.4010 | {'f1': 0.8497800125707102} | {'accuracy': 0.7708533077660594} |
| 0.007 | 285.0 | 9690 | 2.4244 | {'f1': 0.8517587939698492} | {'accuracy': 0.7737296260786194} |
| 0.007 | 286.0 | 9724 | 2.5561 | {'f1': 0.8483353884093712} | {'accuracy': 0.7641418983700863} |
| 0.007 | 287.0 | 9758 | 2.3890 | {'f1': 0.849714648065948} | {'accuracy': 0.7727708533077661} |
| 0.007 | 288.0 | 9792 | 2.5052 | {'f1': 0.8466334164588529} | {'accuracy': 0.7641418983700863} |
| 0.007 | 289.0 | 9826 | 2.6953 | {'f1': 0.8410194174757281} | {'accuracy': 0.7488015340364333} |
| 0.007 | 290.0 | 9860 | 2.4344 | {'f1': 0.8463949843260189} | {'accuracy': 0.7651006711409396} |
| 0.007 | 291.0 | 9894 | 2.2203 | {'f1': 0.8442408376963352} | {'accuracy': 0.7718120805369127} |
| 0.007 | 292.0 | 9928 | 2.2713 | {'f1': 0.8463508322663252} | {'accuracy': 0.7698945349952061} |
| 0.007 | 293.0 | 9962 | 2.4526 | {'f1': 0.8478396994364433} | {'accuracy': 0.7670182166826462} |
| 0.007 | 294.0 | 9996 | 2.2525 | {'f1': 0.8435286542176433} | {'accuracy': 0.7670182166826462} |
| 0.0049 | 295.0 | 10030 | 2.3821 | {'f1': 0.8495238095238095} | {'accuracy': 0.7727708533077661} |
| 0.0049 | 296.0 | 10064 | 2.4593 | {'f1': 0.8505025125628141} | {'accuracy': 0.7718120805369127} |
| 0.0049 | 297.0 | 10098 | 2.2676 | {'f1': 0.8447937131630648} | {'accuracy': 0.7727708533077661} |
| 0.0049 | 298.0 | 10132 | 2.3211 | {'f1': 0.8460543337645536} | {'accuracy': 0.7718120805369127} |
| 0.0049 | 299.0 | 10166 | 2.4604 | {'f1': 0.8467336683417086} | {'accuracy': 0.7660594439117929} |
| 0.0049 | 300.0 | 10200 | 2.3786 | {'f1': 0.8467432950191572} | {'accuracy': 0.7698945349952061} |
| 0.0049 | 301.0 | 10234 | 2.3910 | {'f1': 0.8462029355456286} | {'accuracy': 0.7689357622243528} |
| 0.0049 | 302.0 | 10268 | 2.4143 | {'f1': 0.8500635324015249} | {'accuracy': 0.7737296260786194} |
| 0.0049 | 303.0 | 10302 | 2.4846 | {'f1': 0.846641318124208} | {'accuracy': 0.7679769894534996} |
| 0.0049 | 304.0 | 10336 | 2.4818 | {'f1': 0.8449809402795427} | {'accuracy': 0.7660594439117929} |
| 0.0049 | 305.0 | 10370 | 3.0166 | {'f1': 0.8330341113105926} | {'accuracy': 0.7325023969319271} |
| 0.0049 | 306.0 | 10404 | 2.2982 | {'f1': 0.8373612018288701} | {'accuracy': 0.7612655800575263} |
| 0.0049 | 307.0 | 10438 | 2.7863 | {'f1': 0.8360755636806826} | {'accuracy': 0.7420901246404602} |
| 0.0049 | 308.0 | 10472 | 2.6580 | {'f1': 0.8407407407407408} | {'accuracy': 0.7526366251198466} |
| 0.0055 | 309.0 | 10506 | 2.4721 | {'f1': 0.8448060075093867} | {'accuracy': 0.7622243528283796} |
| 0.0055 | 310.0 | 10540 | 2.4401 | {'f1': 0.8460087994971716} | {'accuracy': 0.7651006711409396} |
| 0.0055 | 311.0 | 10574 | 2.4511 | {'f1': 0.8460087994971716} | {'accuracy': 0.7651006711409396} |
| 0.0055 | 312.0 | 10608 | 2.3430 | {'f1': 0.8420373952288847} | {'accuracy': 0.7651006711409396} |
| 0.0055 | 313.0 | 10642 | 2.4703 | {'f1': 0.8425692695214106} | {'accuracy': 0.7603068072866731} |
| 0.0055 | 314.0 | 10676 | 2.4643 | {'f1': 0.840378548895899} | {'accuracy': 0.7574304889741131} |
| 0.0055 | 315.0 | 10710 | 2.3307 | {'f1': 0.8431245965138799} | {'accuracy': 0.7670182166826462} |
| 0.0055 | 316.0 | 10744 | 2.7334 | {'f1': 0.8372943327239487} | {'accuracy': 0.7440076701821668} |
| 0.0055 | 317.0 | 10778 | 2.3630 | {'f1': 0.8425096030729833} | {'accuracy': 0.7641418983700863} |
| 0.0055 | 318.0 | 10812 | 2.6220 | {'f1': 0.8451053283767039} | {'accuracy': 0.7603068072866731} |
| 0.0055 | 319.0 | 10846 | 2.4094 | {'f1': 0.8461538461538461} | {'accuracy': 0.7698945349952061} |
| 0.0055 | 320.0 | 10880 | 2.5369 | {'f1': 0.8477987421383647} | {'accuracy': 0.7679769894534996} |
| 0.0055 | 321.0 | 10914 | 2.7735 | {'f1': 0.8426829268292683} | {'accuracy': 0.7526366251198466} |
| 0.0055 | 322.0 | 10948 | 2.5698 | {'f1': 0.844838505383154} | {'accuracy': 0.7651006711409396} |
| 0.0055 | 323.0 | 10982 | 2.5724 | {'f1': 0.844838505383154} | {'accuracy': 0.7651006711409396} |
| 0.0038 | 324.0 | 11016 | 2.7663 | {'f1': 0.842883548983364} | {'accuracy': 0.7555129434324065} |
| 0.0038 | 325.0 | 11050 | 2.7974 | {'f1': 0.8430769230769232} | {'accuracy': 0.7555129434324065} |
| 0.0038 | 326.0 | 11084 | 2.6639 | {'f1': 0.8451053283767039} | {'accuracy': 0.7603068072866731} |
| 0.0038 | 327.0 | 11118 | 2.4709 | {'f1': 0.8434343434343433} | {'accuracy': 0.7622243528283796} |
| 0.0038 | 328.0 | 11152 | 2.3253 | {'f1': 0.8425806451612904} | {'accuracy': 0.7660594439117929} |
| 0.0038 | 329.0 | 11186 | 2.5298 | {'f1': 0.8418461538461539} | {'accuracy': 0.7535953978907} |
| 0.0038 | 330.0 | 11220 | 2.2083 | {'f1': 0.8373612018288701} | {'accuracy': 0.7612655800575263} |
| 0.0038 | 331.0 | 11254 | 2.8618 | {'f1': 0.8344370860927152} | {'accuracy': 0.7363374880153404} |
| 0.0038 | 332.0 | 11288 | 2.2406 | {'f1': 0.832214765100671} | {'accuracy': 0.7603068072866731} |
| 0.0038 | 333.0 | 11322 | 2.5084 | {'f1': 0.8424953675108092} | {'accuracy': 0.7555129434324065} |
| 0.0038 | 334.0 | 11356 | 2.3157 | {'f1': 0.8424396442185516} | {'accuracy': 0.7622243528283796} |
| 0.0038 | 335.0 | 11390 | 2.3621 | {'f1': 0.8405063291139242} | {'accuracy': 0.7583892617449665} |
| 0.0038 | 336.0 | 11424 | 2.3904 | {'f1': 0.8385053831538949} | {'accuracy': 0.7555129434324065} |
| 0.0038 | 337.0 | 11458 | 2.3480 | {'f1': 0.8378033205619413} | {'accuracy': 0.7564717162032598} |
| 0.0038 | 338.0 | 11492 | 2.5572 | {'f1': 0.8428217821782179} | {'accuracy': 0.7564717162032598} |
| 0.009 | 339.0 | 11526 | 2.2762 | {'f1': 0.8376408217362492} | {'accuracy': 0.7651006711409396} |
| 0.009 | 340.0 | 11560 | 2.5688 | {'f1': 0.838909541511772} | {'accuracy': 0.75071907957814} |
| 0.009 | 341.0 | 11594 | 2.2469 | {'f1': 0.8365758754863812} | {'accuracy': 0.7583892617449665} |
| 0.009 | 342.0 | 11628 | 2.3048 | {'f1': 0.8356867779204109} | {'accuracy': 0.7545541706615532} |
| 0.009 | 343.0 | 11662 | 2.4827 | {'f1': 0.8448275862068966} | {'accuracy': 0.7583892617449665} |
| 0.009 | 344.0 | 11696 | 2.5491 | {'f1': 0.8424279583077867} | {'accuracy': 0.7535953978907} |
| 0.009 | 345.0 | 11730 | 2.1947 | {'f1': 0.8423772609819122} | {'accuracy': 0.7660594439117929} |
| 0.009 | 346.0 | 11764 | 2.2454 | {'f1': 0.8456632653061223} | {'accuracy': 0.7679769894534996} |
| 0.009 | 347.0 | 11798 | 2.2735 | {'f1': 0.8457142857142858} | {'accuracy': 0.7670182166826462} |
| 0.009 | 348.0 | 11832 | 2.1648 | {'f1': 0.83672131147541} | {'accuracy': 0.7612655800575263} |
| 0.009 | 349.0 | 11866 | 2.1912 | {'f1': 0.8443579766536965} | {'accuracy': 0.7698945349952061} |
| 0.009 | 350.0 | 11900 | 2.3321 | {'f1': 0.8447517284726588} | {'accuracy': 0.763183125599233} |
| 0.009 | 351.0 | 11934 | 2.2339 | {'f1': 0.845360824742268} | {'accuracy': 0.7698945349952061} |
| 0.009 | 352.0 | 11968 | 2.3889 | {'f1': 0.8446115288220551} | {'accuracy': 0.7622243528283796} |
| 0.0049 | 353.0 | 12002 | 2.4719 | {'f1': 0.8441961514587213} | {'accuracy': 0.7593480345158198} |
| 0.0049 | 354.0 | 12036 | 2.2481 | {'f1': 0.8432786885245902} | {'accuracy': 0.7708533077660594} |
| 0.0049 | 355.0 | 12070 | 2.3296 | {'f1': 0.8458093410108765} | {'accuracy': 0.7689357622243528} |
| 0.0049 | 356.0 | 12104 | 2.2860 | {'f1': 0.8391793514228987} | {'accuracy': 0.7670182166826462} |
| 0.0049 | 357.0 | 12138 | 2.3120 | {'f1': 0.8407310704960835} | {'accuracy': 0.7660594439117929} |
| 0.0049 | 358.0 | 12172 | 2.3255 | {'f1': 0.8426527958387516} | {'accuracy': 0.7679769894534996} |
| 0.0049 | 359.0 | 12206 | 2.6370 | {'f1': 0.8448804414469651} | {'accuracy': 0.7574304889741131} |
| 0.0049 | 360.0 | 12240 | 2.2975 | {'f1': 0.8418334409296322} | {'accuracy': 0.7651006711409396} |
| 0.0049 | 361.0 | 12274 | 2.2947 | {'f1': 0.8423772609819122} | {'accuracy': 0.7660594439117929} |
| 0.0049 | 362.0 | 12308 | 2.3139 | {'f1': 0.8442728442728443} | {'accuracy': 0.7679769894534996} |
| 0.0049 | 363.0 | 12342 | 2.6460 | {'f1': 0.8407565588773642} | {'accuracy': 0.7497603068072867} |
| 0.0049 | 364.0 | 12376 | 2.2519 | {'f1': 0.8281998631074606} | {'accuracy': 0.7593480345158198} |
| 0.0049 | 365.0 | 12410 | 2.2843 | {'f1': 0.8444730077120822} | {'accuracy': 0.7679769894534996} |
| 0.0049 | 366.0 | 12444 | 2.4303 | {'f1': 0.8458646616541354} | {'accuracy': 0.7641418983700863} |
| 0.0049 | 367.0 | 12478 | 2.7581 | {'f1': 0.8407026044821321} | {'accuracy': 0.74784276126558} |
| 0.0042 | 368.0 | 12512 | 2.4722 | {'f1': 0.8457711442786069} | {'accuracy': 0.7622243528283796} |
| 0.0042 | 369.0 | 12546 | 2.4394 | {'f1': 0.8479495268138802} | {'accuracy': 0.7689357622243528} |
| 0.0042 | 370.0 | 12580 | 2.3956 | {'f1': 0.8472843450479234} | {'accuracy': 0.7708533077660594} |
| 0.0042 | 371.0 | 12614 | 2.3798 | {'f1': 0.8351351351351352} | {'accuracy': 0.7660594439117929} |
| 0.0042 | 372.0 | 12648 | 2.8006 | {'f1': 0.8391013964784457} | {'accuracy': 0.7459252157238735} |
| 0.0042 | 373.0 | 12682 | 2.5319 | {'f1': 0.8478396994364433} | {'accuracy': 0.7670182166826462} |
| 0.0042 | 374.0 | 12716 | 2.6566 | {'f1': 0.8453481207640172} | {'accuracy': 0.7593480345158198} |
| 0.0042 | 375.0 | 12750 | 2.6527 | {'f1': 0.844774273345702} | {'accuracy': 0.7593480345158198} |
| 0.0042 | 376.0 | 12784 | 2.5238 | {'f1': 0.843297671491504} | {'accuracy': 0.7612655800575263} |
| 0.0042 | 377.0 | 12818 | 2.4145 | {'f1': 0.8384565075212557} | {'accuracy': 0.763183125599233} |
| 0.0042 | 378.0 | 12852 | 2.5525 | {'f1': 0.8475420037336653} | {'accuracy': 0.7651006711409396} |
| 0.0042 | 379.0 | 12886 | 2.4333 | {'f1': 0.8394584139264991} | {'accuracy': 0.7612655800575263} |
| 0.0042 | 380.0 | 12920 | 2.4523 | {'f1': 0.8447284345047924} | {'accuracy': 0.7670182166826462} |
| 0.0042 | 381.0 | 12954 | 2.4587 | {'f1': 0.8441890166028098} | {'accuracy': 0.7660594439117929} |
| 0.0042 | 382.0 | 12988 | 2.4679 | {'f1': 0.8449266113592852} | {'accuracy': 0.7670182166826462} |
| 0.0016 | 383.0 | 13022 | 2.4727 | {'f1': 0.8449266113592852} | {'accuracy': 0.7670182166826462} |
| 0.0016 | 384.0 | 13056 | 2.4799 | {'f1': 0.8449266113592852} | {'accuracy': 0.7670182166826462} |
| 0.0016 | 385.0 | 13090 | 2.4846 | {'f1': 0.8449266113592852} | {'accuracy': 0.7670182166826462} |
| 0.0016 | 386.0 | 13124 | 2.4887 | {'f1': 0.8449266113592852} | {'accuracy': 0.7670182166826462} |
| 0.0016 | 387.0 | 13158 | 2.4999 | {'f1': 0.8433121019108281} | {'accuracy': 0.7641418983700863} |
| 0.0016 | 388.0 | 13192 | 2.6596 | {'f1': 0.8477722772277226} | {'accuracy': 0.7641418983700863} |
| 0.0016 | 389.0 | 13226 | 2.5240 | {'f1': 0.8425047438330171} | {'accuracy': 0.7612655800575263} |
| 0.0016 | 390.0 | 13260 | 2.5159 | {'f1': 0.8402291534054743} | {'accuracy': 0.7593480345158198} |
| 0.0016 | 391.0 | 13294 | 2.4972 | {'f1': 0.8409805153991201} | {'accuracy': 0.7574304889741131} |
| 0.0016 | 392.0 | 13328 | 2.4648 | {'f1': 0.8417037507946599} | {'accuracy': 0.7612655800575263} |
| 0.0016 | 393.0 | 13362 | 2.4204 | {'f1': 0.8349514563106797} | {'accuracy': 0.7555129434324065} |
| 0.0016 | 394.0 | 13396 | 2.6356 | {'f1': 0.8443627450980392} | {'accuracy': 0.7564717162032598} |
| 0.0016 | 395.0 | 13430 | 2.4198 | {'f1': 0.8402291534054743} | {'accuracy': 0.7593480345158198} |
| 0.0016 | 396.0 | 13464 | 2.5434 | {'f1': 0.8426966292134831} | {'accuracy': 0.7583892617449665} |
| 0.0016 | 397.0 | 13498 | 2.5672 | {'f1': 0.8423676012461059} | {'accuracy': 0.7574304889741131} |
| 0.0029 | 398.0 | 13532 | 2.5736 | {'f1': 0.8423676012461059} | {'accuracy': 0.7574304889741131} |
| 0.0029 | 399.0 | 13566 | 2.5827 | {'f1': 0.842039800995025} | {'accuracy': 0.7564717162032598} |
| 0.0029 | 400.0 | 13600 | 2.5551 | {'f1': 0.8413793103448275} | {'accuracy': 0.7574304889741131} |
| 0.0029 | 401.0 | 13634 | 2.5580 | {'f1': 0.8413793103448275} | {'accuracy': 0.7574304889741131} |
| 0.0029 | 402.0 | 13668 | 2.4031 | {'f1': 0.8451776649746193} | {'accuracy': 0.7660594439117929} |
| 0.0029 | 403.0 | 13702 | 2.8069 | {'f1': 0.8391777509068924} | {'accuracy': 0.7449664429530202} |
| 0.0029 | 404.0 | 13736 | 2.3951 | {'f1': 0.8297455968688846} | {'accuracy': 0.7497603068072867} |
| 0.0029 | 405.0 | 13770 | 3.0938 | {'f1': 0.837181764357608} | {'accuracy': 0.7363374880153404} |
| 0.0029 | 406.0 | 13804 | 2.5174 | {'f1': 0.8362944162436549} | {'accuracy': 0.7526366251198466} |
| 0.0029 | 407.0 | 13838 | 2.6228 | {'f1': 0.8413192283758557} | {'accuracy': 0.7555129434324065} |
| 0.0029 | 408.0 | 13872 | 2.4119 | {'f1': 0.8357615894039736} | {'accuracy': 0.7622243528283796} |
| 0.0029 | 409.0 | 13906 | 2.5100 | {'f1': 0.8370607028753995} | {'accuracy': 0.7555129434324065} |
| 0.0029 | 410.0 | 13940 | 2.6617 | {'f1': 0.8407960199004975} | {'accuracy': 0.7545541706615532} |
| 0.0029 | 411.0 | 13974 | 2.4633 | {'f1': 0.8365508365508365} | {'accuracy': 0.7564717162032598} |
| 0.0059 | 412.0 | 14008 | 2.4974 | {'f1': 0.8351231838281743} | {'accuracy': 0.7497603068072867} |
| 0.0059 | 413.0 | 14042 | 2.4125 | {'f1': 0.8383311603650586} | {'accuracy': 0.7622243528283796} |
| 0.0059 | 414.0 | 14076 | 2.5143 | {'f1': 0.8359721342621914} | {'accuracy': 0.7516778523489933} |
| 0.0059 | 415.0 | 14110 | 2.5524 | {'f1': 0.8387909319899244} | {'accuracy': 0.7545541706615532} |
| 0.0059 | 416.0 | 14144 | 2.5503 | {'f1': 0.8373266078184111} | {'accuracy': 0.7526366251198466} |
| 0.0059 | 417.0 | 14178 | 2.5565 | {'f1': 0.8380592312539382} | {'accuracy': 0.7535953978907} |
| 0.0059 | 418.0 | 14212 | 2.5622 | {'f1': 0.8380592312539382} | {'accuracy': 0.7535953978907} |
| 0.0059 | 419.0 | 14246 | 2.5504 | {'f1': 0.837238758708043} | {'accuracy': 0.7535953978907} |
| 0.0059 | 420.0 | 14280 | 2.5631 | {'f1': 0.8367088607594937} | {'accuracy': 0.7526366251198466} |
| 0.0059 | 421.0 | 14314 | 2.5915 | {'f1': 0.8380592312539382} | {'accuracy': 0.7535953978907} |
| 0.0059 | 422.0 | 14348 | 2.5984 | {'f1': 0.8380592312539382} | {'accuracy': 0.7535953978907} |
| 0.0059 | 423.0 | 14382 | 2.6025 | {'f1': 0.8380592312539382} | {'accuracy': 0.7535953978907} |
| 0.0059 | 424.0 | 14416 | 2.6443 | {'f1': 0.8419071518193225} | {'accuracy': 0.7583892617449665} |
| 0.0059 | 425.0 | 14450 | 2.6552 | {'f1': 0.8406524466750315} | {'accuracy': 0.7564717162032598} |
| 0.0059 | 426.0 | 14484 | 2.6820 | {'f1': 0.8406524466750315} | {'accuracy': 0.7564717162032598} |
| 0.0007 | 427.0 | 14518 | 2.6997 | {'f1': 0.8400503778337531} | {'accuracy': 0.7564717162032598} |
| 0.0007 | 428.0 | 14552 | 2.7150 | {'f1': 0.8400503778337531} | {'accuracy': 0.7564717162032598} |
| 0.0007 | 429.0 | 14586 | 2.5110 | {'f1': 0.8286099865047233} | {'accuracy': 0.7564717162032598} |
| 0.0007 | 430.0 | 14620 | 2.7481 | {'f1': 0.8401997503121098} | {'accuracy': 0.7545541706615532} |
| 0.0007 | 431.0 | 14654 | 2.8417 | {'f1': 0.840937114673243} | {'accuracy': 0.7526366251198466} |
| 0.0007 | 432.0 | 14688 | 2.5962 | {'f1': 0.8384615384615385} | {'accuracy': 0.7583892617449665} |
| 0.0007 | 433.0 | 14722 | 2.5856 | {'f1': 0.8375404530744337} | {'accuracy': 0.7593480345158198} |
| 0.0007 | 434.0 | 14756 | 2.6317 | {'f1': 0.8425748884639899} | {'accuracy': 0.763183125599233} |
| 0.0007 | 435.0 | 14790 | 2.6556 | {'f1': 0.8417037507946599} | {'accuracy': 0.7612655800575263} |
| 0.0007 | 436.0 | 14824 | 2.6632 | {'f1': 0.8411689961880559} | {'accuracy': 0.7603068072866731} |
| 0.0007 | 437.0 | 14858 | 2.6848 | {'f1': 0.8436317780580076} | {'accuracy': 0.7622243528283796} |
| 0.0007 | 438.0 | 14892 | 2.9743 | {'f1': 0.8418491484184915} | {'accuracy': 0.75071907957814} |
| 0.0007 | 439.0 | 14926 | 2.6257 | {'f1': 0.8433734939759037} | {'accuracy': 0.763183125599233} |
| 0.0007 | 440.0 | 14960 | 2.7683 | {'f1': 0.8419094854308741} | {'accuracy': 0.7555129434324065} |
| 0.0007 | 441.0 | 14994 | 2.5979 | {'f1': 0.8404868673926971} | {'accuracy': 0.7612655800575263} |
| 0.0042 | 442.0 | 15028 | 2.4658 | {'f1': 0.8387942332896462} | {'accuracy': 0.7641418983700863} |
| 0.0042 | 443.0 | 15062 | 2.8625 | {'f1': 0.8411330049261084} | {'accuracy': 0.7526366251198466} |
| 0.0042 | 444.0 | 15096 | 2.8880 | {'f1': 0.8413284132841329} | {'accuracy': 0.7526366251198466} |
| 0.0042 | 445.0 | 15130 | 2.7701 | {'f1': 0.8407960199004975} | {'accuracy': 0.7545541706615532} |
| 0.0042 | 446.0 | 15164 | 2.6883 | {'f1': 0.8433583959899749} | {'accuracy': 0.7603068072866731} |
| 0.0042 | 447.0 | 15198 | 3.2037 | {'f1': 0.8344291691572026} | {'accuracy': 0.7344199424736337} |
| 0.0042 | 448.0 | 15232 | 2.5410 | {'f1': 0.8372093023255814} | {'accuracy': 0.7583892617449665} |
| 0.0042 | 449.0 | 15266 | 2.6753 | {'f1': 0.8415094339622642} | {'accuracy': 0.7583892617449665} |
| 0.0042 | 450.0 | 15300 | 2.6834 | {'f1': 0.8409805153991201} | {'accuracy': 0.7574304889741131} |
| 0.0042 | 451.0 | 15334 | 2.6860 | {'f1': 0.8409805153991201} | {'accuracy': 0.7574304889741131} |
| 0.0042 | 452.0 | 15368 | 2.4472 | {'f1': 0.8311345646437995} | {'accuracy': 0.7545541706615532} |
| 0.0042 | 453.0 | 15402 | 2.7076 | {'f1': 0.8426270136307311} | {'accuracy': 0.7564717162032598} |
| 0.0042 | 454.0 | 15436 | 2.9443 | {'f1': 0.8379351740696279} | {'accuracy': 0.7411313518696069} |
| 0.0042 | 455.0 | 15470 | 2.6437 | {'f1': 0.840024706609018} | {'accuracy': 0.7516778523489933} |
| 0.0059 | 456.0 | 15504 | 2.5004 | {'f1': 0.8296488946684005} | {'accuracy': 0.7488015340364333} |
| 0.0059 | 457.0 | 15538 | 2.4383 | {'f1': 0.8282828282828282} | {'accuracy': 0.7555129434324065} |
| 0.0059 | 458.0 | 15572 | 2.8096 | {'f1': 0.8390243902439024} | {'accuracy': 0.7468839884947267} |
| 0.0059 | 459.0 | 15606 | 2.6592 | {'f1': 0.8366583541147131} | {'accuracy': 0.7488015340364333} |
| 0.0059 | 460.0 | 15640 | 2.5181 | {'f1': 0.8345230369889682} | {'accuracy': 0.7555129434324065} |
| 0.0059 | 461.0 | 15674 | 2.5745 | {'f1': 0.8355555555555555} | {'accuracy': 0.7516778523489933} |
| 0.0059 | 462.0 | 15708 | 2.6229 | {'f1': 0.8405797101449275} | {'accuracy': 0.7574304889741131} |
| 0.0059 | 463.0 | 15742 | 2.6767 | {'f1': 0.8409232688708672} | {'accuracy': 0.7555129434324065} |
| 0.0059 | 464.0 | 15776 | 2.6814 | {'f1': 0.8409232688708672} | {'accuracy': 0.7555129434324065} |
| 0.0059 | 465.0 | 15810 | 2.6861 | {'f1': 0.8401997503121098} | {'accuracy': 0.7545541706615532} |
| 0.0059 | 466.0 | 15844 | 2.6917 | {'f1': 0.8401997503121098} | {'accuracy': 0.7545541706615532} |
| 0.0059 | 467.0 | 15878 | 2.6872 | {'f1': 0.84} | {'accuracy': 0.7545541706615532} |
| 0.0059 | 468.0 | 15912 | 2.6880 | {'f1': 0.84} | {'accuracy': 0.7545541706615532} |
| 0.0059 | 469.0 | 15946 | 2.6887 | {'f1': 0.8405253283302063} | {'accuracy': 0.7555129434324065} |
| 0.0059 | 470.0 | 15980 | 2.5945 | {'f1': 0.832258064516129} | {'accuracy': 0.75071907957814} |
| 0.0021 | 471.0 | 16014 | 2.6036 | {'f1': 0.832258064516129} | {'accuracy': 0.75071907957814} |
| 0.0021 | 472.0 | 16048 | 2.8426 | {'f1': 0.840418977202711} | {'accuracy': 0.7516778523489933} |
| 0.0021 | 473.0 | 16082 | 2.8052 | {'f1': 0.8402734617775015} | {'accuracy': 0.7535953978907} |
| 0.0021 | 474.0 | 16116 | 3.2189 | {'f1': 0.8371257485029939} | {'accuracy': 0.7392138063279002} |
| 0.0021 | 475.0 | 16150 | 2.5583 | {'f1': 0.8308295231874592} | {'accuracy': 0.7516778523489933} |
| 0.0021 | 476.0 | 16184 | 2.7091 | {'f1': 0.8415779586725111} | {'accuracy': 0.7574304889741131} |
| 0.0021 | 477.0 | 16218 | 2.7367 | {'f1': 0.8395522388059702} | {'accuracy': 0.7526366251198466} |
| 0.0021 | 478.0 | 16252 | 2.6907 | {'f1': 0.8377693282636249} | {'accuracy': 0.7545541706615532} |
| 0.0021 | 479.0 | 16286 | 2.7290 | {'f1': 0.8391959798994975} | {'accuracy': 0.7545541706615532} |
| 0.0021 | 480.0 | 16320 | 2.6727 | {'f1': 0.8385449904275686} | {'accuracy': 0.7574304889741131} |
| 0.0021 | 481.0 | 16354 | 2.6050 | {'f1': 0.8335517693315858} | {'accuracy': 0.7564717162032598} |
| 0.0021 | 482.0 | 16388 | 2.8131 | {'f1': 0.8391521197007481} | {'accuracy': 0.7526366251198466} |
| 0.0021 | 483.0 | 16422 | 2.6203 | {'f1': 0.837299035369775} | {'accuracy': 0.7574304889741131} |
| 0.0021 | 484.0 | 16456 | 2.7171 | {'f1': 0.8399746995572422} | {'accuracy': 0.7574304889741131} |
| 0.0021 | 485.0 | 16490 | 3.0218 | {'f1': 0.8403157255616271} | {'accuracy': 0.74784276126558} |
| 0.0019 | 486.0 | 16524 | 2.7476 | {'f1': 0.8414403032217308} | {'accuracy': 0.7593480345158198} |
| 0.0019 | 487.0 | 16558 | 2.7457 | {'f1': 0.8407079646017699} | {'accuracy': 0.7583892617449665} |
| 0.0019 | 488.0 | 16592 | 2.7488 | {'f1': 0.8407079646017699} | {'accuracy': 0.7583892617449665} |
| 0.0019 | 489.0 | 16626 | 2.7570 | {'f1': 0.8414403032217308} | {'accuracy': 0.7593480345158198} |
| 0.0019 | 490.0 | 16660 | 2.7705 | {'f1': 0.8421717171717172} | {'accuracy': 0.7603068072866731} |
| 0.0019 | 491.0 | 16694 | 2.7697 | {'f1': 0.8421717171717172} | {'accuracy': 0.7603068072866731} |
| 0.0019 | 492.0 | 16728 | 2.7588 | {'f1': 0.8403041825095058} | {'accuracy': 0.7583892617449665} |
| 0.0019 | 493.0 | 16762 | 2.7615 | {'f1': 0.8403041825095058} | {'accuracy': 0.7583892617449665} |
| 0.0019 | 494.0 | 16796 | 3.1328 | {'f1': 0.8414043583535109} | {'accuracy': 0.7488015340364333} |
| 0.0019 | 495.0 | 16830 | 3.2243 | {'f1': 0.8373493975903615} | {'accuracy': 0.7411313518696069} |
| 0.0019 | 496.0 | 16864 | 2.9653 | {'f1': 0.8386699507389164} | {'accuracy': 0.7488015340364333} |
| 0.0019 | 497.0 | 16898 | 2.5668 | {'f1': 0.8325487558843309} | {'accuracy': 0.7612655800575263} |
| 0.0019 | 498.0 | 16932 | 2.8481 | {'f1': 0.840418977202711} | {'accuracy': 0.7516778523489933} |
| 0.0019 | 499.0 | 16966 | 2.6740 | {'f1': 0.8421717171717172} | {'accuracy': 0.7603068072866731} |
| 0.0018 | 500.0 | 17000 | 2.5600 | {'f1': 0.8356435643564357} | {'accuracy': 0.7612655800575263} |
| 0.0018 | 501.0 | 17034 | 2.5829 | {'f1': 0.8376068376068375} | {'accuracy': 0.763183125599233} |
| 0.0018 | 502.0 | 17068 | 2.9520 | {'f1': 0.8411442483262326} | {'accuracy': 0.7497603068072867} |
| 0.0018 | 503.0 | 17102 | 2.5230 | {'f1': 0.8441558441558442} | {'accuracy': 0.7698945349952061} |
| 0.0018 | 504.0 | 17136 | 2.6823 | {'f1': 0.8436911487758946} | {'accuracy': 0.7612655800575263} |
| 0.0018 | 505.0 | 17170 | 2.7025 | {'f1': 0.8435544430538173} | {'accuracy': 0.7603068072866731} |
| 0.0018 | 506.0 | 17204 | 2.7052 | {'f1': 0.844082654978084} | {'accuracy': 0.7612655800575263} |
| 0.0018 | 507.0 | 17238 | 2.7081 | {'f1': 0.844082654978084} | {'accuracy': 0.7612655800575263} |
| 0.0018 | 508.0 | 17272 | 2.7151 | {'f1': 0.8430268918073796} | {'accuracy': 0.7593480345158198} |
| 0.0018 | 509.0 | 17306 | 2.7236 | {'f1': 0.8432229856339788} | {'accuracy': 0.7593480345158198} |
| 0.0018 | 510.0 | 17340 | 2.7288 | {'f1': 0.8432229856339788} | {'accuracy': 0.7593480345158198} |
| 0.0018 | 511.0 | 17374 | 2.7628 | {'f1': 0.8425637834474176} | {'accuracy': 0.7574304889741131} |
| 0.0018 | 512.0 | 17408 | 2.7730 | {'f1': 0.8425637834474176} | {'accuracy': 0.7574304889741131} |
| 0.0018 | 513.0 | 17442 | 2.8088 | {'f1': 0.8426270136307311} | {'accuracy': 0.7564717162032598} |
| 0.0018 | 514.0 | 17476 | 2.7555 | {'f1': 0.8426332288401255} | {'accuracy': 0.7593480345158198} |
| 0.0023 | 515.0 | 17510 | 2.8072 | {'f1': 0.8405977584059775} | {'accuracy': 0.7545541706615532} |
| 0.0023 | 516.0 | 17544 | 2.7877 | {'f1': 0.8395989974937343} | {'accuracy': 0.7545541706615532} |
| 0.0023 | 517.0 | 17578 | 2.7925 | {'f1': 0.8395989974937343} | {'accuracy': 0.7545541706615532} |
| 0.0023 | 518.0 | 17612 | 2.8634 | {'f1': 0.8430160692212608} | {'accuracy': 0.7564717162032598} |
| 0.0023 | 519.0 | 17646 | 2.6918 | {'f1': 0.8405612244897959} | {'accuracy': 0.7603068072866731} |
| 0.0023 | 520.0 | 17680 | 2.6507 | {'f1': 0.839425587467363} | {'accuracy': 0.7641418983700863} |
| 0.0023 | 521.0 | 17714 | 2.6582 | {'f1': 0.839425587467363} | {'accuracy': 0.7641418983700863} |
| 0.0023 | 522.0 | 17748 | 2.6777 | {'f1': 0.838206627680312} | {'accuracy': 0.7612655800575263} |
| 0.0023 | 523.0 | 17782 | 2.6893 | {'f1': 0.8393782383419689} | {'accuracy': 0.7622243528283796} |
| 0.0023 | 524.0 | 17816 | 2.7195 | {'f1': 0.8381317978246962} | {'accuracy': 0.7574304889741131} |
| 0.0023 | 525.0 | 17850 | 2.7556 | {'f1': 0.8407643312101911} | {'accuracy': 0.7603068072866731} |
| 0.0023 | 526.0 | 17884 | 2.7625 | {'f1': 0.841502227880331} | {'accuracy': 0.7612655800575263} |
| 0.0023 | 527.0 | 17918 | 2.7651 | {'f1': 0.8409669211195929} | {'accuracy': 0.7603068072866731} |
| 0.0023 | 528.0 | 17952 | 2.7865 | {'f1': 0.8406349206349206} | {'accuracy': 0.7593480345158198} |
| 0.0023 | 529.0 | 17986 | 2.7938 | {'f1': 0.8413705583756345} | {'accuracy': 0.7603068072866731} |
| 0.0 | 530.0 | 18020 | 2.8313 | {'f1': 0.8436317780580076} | {'accuracy': 0.7622243528283796} |
| 0.0 | 531.0 | 18054 | 3.0190 | {'f1': 0.8442521631644005} | {'accuracy': 0.7583892617449665} |
| 0.0 | 532.0 | 18088 | 3.0035 | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0 | 533.0 | 18122 | 3.1189 | {'f1': 0.8403465346534654} | {'accuracy': 0.7526366251198466} |
| 0.0 | 534.0 | 18156 | 3.1287 | {'f1': 0.8403465346534654} | {'accuracy': 0.7526366251198466} |
| 0.0 | 535.0 | 18190 | 2.9201 | {'f1': 0.8435718809373022} | {'accuracy': 0.763183125599233} |
| 0.0 | 536.0 | 18224 | 3.1018 | {'f1': 0.8413878562577447} | {'accuracy': 0.7545541706615532} |
| 0.0 | 537.0 | 18258 | 2.9163 | {'f1': 0.8406735751295337} | {'accuracy': 0.7641418983700863} |
| 0.0 | 538.0 | 18292 | 3.1607 | {'f1': 0.8391521197007481} | {'accuracy': 0.7526366251198466} |
| 0.0 | 539.0 | 18326 | 2.9552 | {'f1': 0.8309764309764309} | {'accuracy': 0.7593480345158198} |
| 0.0 | 540.0 | 18360 | 3.2303 | {'f1': 0.8395522388059702} | {'accuracy': 0.7526366251198466} |
| 0.0 | 541.0 | 18394 | 3.1611 | {'f1': 0.8395989974937343} | {'accuracy': 0.7545541706615532} |
| 0.0 | 542.0 | 18428 | 3.1450 | {'f1': 0.8406524466750315} | {'accuracy': 0.7564717162032598} |
| 0.0 | 543.0 | 18462 | 3.1537 | {'f1': 0.8406524466750315} | {'accuracy': 0.7564717162032598} |
| 0.0 | 544.0 | 18496 | 2.9722 | {'f1': 0.8428479794740218} | {'accuracy': 0.7651006711409396} |
| 0.0011 | 545.0 | 18530 | 3.0524 | {'f1': 0.8448928121059269} | {'accuracy': 0.7641418983700863} |
| 0.0011 | 546.0 | 18564 | 3.2339 | {'f1': 0.837954405422058} | {'accuracy': 0.74784276126558} |
| 0.0011 | 547.0 | 18598 | 3.2356 | {'f1': 0.837954405422058} | {'accuracy': 0.74784276126558} |
| 0.0011 | 548.0 | 18632 | 3.1960 | {'f1': 0.8403465346534654} | {'accuracy': 0.7526366251198466} |
| 0.0011 | 549.0 | 18666 | 3.1065 | {'f1': 0.844082654978084} | {'accuracy': 0.7612655800575263} |
| 0.0011 | 550.0 | 18700 | 3.0559 | {'f1': 0.8452305748578648} | {'accuracy': 0.7651006711409396} |
| 0.0011 | 551.0 | 18734 | 3.0519 | {'f1': 0.8452305748578648} | {'accuracy': 0.7651006711409396} |
| 0.0011 | 552.0 | 18768 | 3.0572 | {'f1': 0.8452305748578648} | {'accuracy': 0.7651006711409396} |
| 0.0011 | 553.0 | 18802 | 3.0586 | {'f1': 0.8452305748578648} | {'accuracy': 0.7651006711409396} |
| 0.0011 | 554.0 | 18836 | 3.0616 | {'f1': 0.8452305748578648} | {'accuracy': 0.7651006711409396} |
| 0.0011 | 555.0 | 18870 | 2.9069 | {'f1': 0.8338892595063376} | {'accuracy': 0.7612655800575263} |
| 0.0011 | 556.0 | 18904 | 3.0913 | {'f1': 0.8419737663960025} | {'accuracy': 0.7574304889741131} |
| 0.0011 | 557.0 | 18938 | 2.9118 | {'f1': 0.839124839124839} | {'accuracy': 0.7603068072866731} |
| 0.0011 | 558.0 | 18972 | 2.8145 | {'f1': 0.8312375909993381} | {'accuracy': 0.7555129434324065} |
| 0.0017 | 559.0 | 19006 | 2.8932 | {'f1': 0.841300191204589} | {'accuracy': 0.7612655800575263} |
| 0.0017 | 560.0 | 19040 | 3.3450 | {'f1': 0.8364741641337385} | {'accuracy': 0.7420901246404602} |
| 0.0017 | 561.0 | 19074 | 2.7462 | {'f1': 0.8367875647668395} | {'accuracy': 0.7583892617449665} |
| 0.0017 | 562.0 | 19108 | 2.8912 | {'f1': 0.8385053831538949} | {'accuracy': 0.7555129434324065} |
| 0.0017 | 563.0 | 19142 | 2.9074 | {'f1': 0.8394437420986094} | {'accuracy': 0.7564717162032598} |
| 0.0017 | 564.0 | 19176 | 2.9109 | {'f1': 0.8401768793430195} | {'accuracy': 0.7574304889741131} |
| 0.0017 | 565.0 | 19210 | 2.9144 | {'f1': 0.8401768793430195} | {'accuracy': 0.7574304889741131} |
| 0.0017 | 566.0 | 19244 | 2.9008 | {'f1': 0.8390367553865652} | {'accuracy': 0.7564717162032598} |
| 0.0017 | 567.0 | 19278 | 2.9005 | {'f1': 0.8390367553865652} | {'accuracy': 0.7564717162032598} |
| 0.0017 | 568.0 | 19312 | 2.9041 | {'f1': 0.8390367553865652} | {'accuracy': 0.7564717162032598} |
| 0.0017 | 569.0 | 19346 | 2.8724 | {'f1': 0.8392857142857142} | {'accuracy': 0.7583892617449665} |
| 0.0017 | 570.0 | 19380 | 2.8106 | {'f1': 0.8376068376068375} | {'accuracy': 0.763183125599233} |
| 0.0017 | 571.0 | 19414 | 2.9517 | {'f1': 0.8393524283935242} | {'accuracy': 0.7526366251198466} |
| 0.0017 | 572.0 | 19448 | 3.1770 | {'f1': 0.838749233599019} | {'accuracy': 0.74784276126558} |
| 0.0017 | 573.0 | 19482 | 2.8087 | {'f1': 0.8463022508038586} | {'accuracy': 0.7708533077660594} |
| 0.0035 | 574.0 | 19516 | 2.8659 | {'f1': 0.8447837150127226} | {'accuracy': 0.7660594439117929} |
| 0.0035 | 575.0 | 19550 | 2.8199 | {'f1': 0.8437900128040973} | {'accuracy': 0.7660594439117929} |
| 0.0035 | 576.0 | 19584 | 2.8267 | {'f1': 0.8439897698209718} | {'accuracy': 0.7660594439117929} |
| 0.0035 | 577.0 | 19618 | 2.8513 | {'f1': 0.8451242829827915} | {'accuracy': 0.7670182166826462} |
| 0.0035 | 578.0 | 19652 | 2.6924 | {'f1': 0.8369926813040585} | {'accuracy': 0.7651006711409396} |
| 0.0035 | 579.0 | 19686 | 2.6959 | {'f1': 0.83994708994709} | {'accuracy': 0.7679769894534996} |
| 0.0035 | 580.0 | 19720 | 2.7683 | {'f1': 0.8435114503816794} | {'accuracy': 0.7641418983700863} |
| 0.0035 | 581.0 | 19754 | 3.0111 | {'f1': 0.8404907975460122} | {'accuracy': 0.75071907957814} |
| 0.0035 | 582.0 | 19788 | 3.0117 | {'f1': 0.8410067526089625} | {'accuracy': 0.7516778523489933} |
| 0.0035 | 583.0 | 19822 | 2.6870 | {'f1': 0.8396946564885497} | {'accuracy': 0.7583892617449665} |
| 0.0035 | 584.0 | 19856 | 2.7800 | {'f1': 0.8408521303258145} | {'accuracy': 0.7564717162032598} |
| 0.0035 | 585.0 | 19890 | 2.8259 | {'f1': 0.8428927680798005} | {'accuracy': 0.7583892617449665} |
| 0.0035 | 586.0 | 19924 | 2.8269 | {'f1': 0.842170929507174} | {'accuracy': 0.7574304889741131} |
| 0.0035 | 587.0 | 19958 | 2.8064 | {'f1': 0.8407245471580262} | {'accuracy': 0.7555129434324065} |
| 0.0035 | 588.0 | 19992 | 2.8121 | {'f1': 0.8407245471580262} | {'accuracy': 0.7555129434324065} |
| 0.0027 | 589.0 | 20026 | 2.8147 | {'f1': 0.8407245471580262} | {'accuracy': 0.7555129434324065} |
| 0.0027 | 590.0 | 20060 | 2.8251 | {'f1': 0.8407245471580262} | {'accuracy': 0.7555129434324065} |
| 0.0027 | 591.0 | 20094 | 2.8277 | {'f1': 0.8407245471580262} | {'accuracy': 0.7555129434324065} |
| 0.0027 | 592.0 | 20128 | 2.8308 | {'f1': 0.8407245471580262} | {'accuracy': 0.7555129434324065} |
| 0.0027 | 593.0 | 20162 | 2.8341 | {'f1': 0.8407245471580262} | {'accuracy': 0.7555129434324065} |
| 0.0027 | 594.0 | 20196 | 2.8349 | {'f1': 0.8407245471580262} | {'accuracy': 0.7555129434324065} |
| 0.0027 | 595.0 | 20230 | 2.8360 | {'f1': 0.8407245471580262} | {'accuracy': 0.7555129434324065} |
| 0.0027 | 596.0 | 20264 | 2.9174 | {'f1': 0.8430160692212608} | {'accuracy': 0.7564717162032598} |
| 0.0027 | 597.0 | 20298 | 2.7736 | {'f1': 0.8398983481575605} | {'accuracy': 0.7583892617449665} |
| 0.0027 | 598.0 | 20332 | 2.8574 | {'f1': 0.8456712672521958} | {'accuracy': 0.7641418983700863} |
| 0.0027 | 599.0 | 20366 | 2.8608 | {'f1': 0.8456712672521958} | {'accuracy': 0.7641418983700863} |
| 0.0027 | 600.0 | 20400 | 2.8844 | {'f1': 0.8453350031308704} | {'accuracy': 0.763183125599233} |
| 0.0027 | 601.0 | 20434 | 2.8882 | {'f1': 0.8453350031308704} | {'accuracy': 0.763183125599233} |
| 0.0027 | 602.0 | 20468 | 2.8884 | {'f1': 0.8453350031308704} | {'accuracy': 0.763183125599233} |
| 0.0015 | 603.0 | 20502 | 2.8916 | {'f1': 0.8453350031308704} | {'accuracy': 0.763183125599233} |
| 0.0015 | 604.0 | 20536 | 2.8952 | {'f1': 0.8453350031308704} | {'accuracy': 0.763183125599233} |
| 0.0015 | 605.0 | 20570 | 2.7938 | {'f1': 0.8369152970922884} | {'accuracy': 0.7526366251198466} |
| 0.0015 | 606.0 | 20604 | 2.9111 | {'f1': 0.8391521197007481} | {'accuracy': 0.7526366251198466} |
| 0.0015 | 607.0 | 20638 | 2.9166 | {'f1': 0.8386292834890965} | {'accuracy': 0.7516778523489933} |
| 0.0015 | 608.0 | 20672 | 2.9669 | {'f1': 0.8424953675108092} | {'accuracy': 0.7555129434324065} |
| 0.0015 | 609.0 | 20706 | 2.9137 | {'f1': 0.8389513108614233} | {'accuracy': 0.7526366251198466} |
| 0.0015 | 610.0 | 20740 | 2.8178 | {'f1': 0.8385053831538949} | {'accuracy': 0.7555129434324065} |
| 0.0015 | 611.0 | 20774 | 2.8212 | {'f1': 0.8385053831538949} | {'accuracy': 0.7555129434324065} |
| 0.0015 | 612.0 | 20808 | 2.8262 | {'f1': 0.8385053831538949} | {'accuracy': 0.7555129434324065} |
| 0.0015 | 613.0 | 20842 | 2.9007 | {'f1': 0.8397234443746072} | {'accuracy': 0.7555129434324065} |
| 0.0015 | 614.0 | 20876 | 2.9044 | {'f1': 0.8397234443746072} | {'accuracy': 0.7555129434324065} |
| 0.0015 | 615.0 | 20910 | 2.8261 | {'f1': 0.8378893833439287} | {'accuracy': 0.7555129434324065} |
| 0.0015 | 616.0 | 20944 | 3.2320 | {'f1': 0.8419139915202907} | {'accuracy': 0.7497603068072867} |
| 0.0015 | 617.0 | 20978 | 2.9549 | {'f1': 0.8411801632140615} | {'accuracy': 0.7574304889741131} |
| 0.0015 | 618.0 | 21012 | 2.9439 | {'f1': 0.8375314861460957} | {'accuracy': 0.7526366251198466} |
| 0.0015 | 619.0 | 21046 | 3.1955 | {'f1': 0.8440925700365408} | {'accuracy': 0.7545541706615532} |
| 0.0015 | 620.0 | 21080 | 3.0307 | {'f1': 0.8360450563204005} | {'accuracy': 0.7488015340364333} |
| 0.0015 | 621.0 | 21114 | 3.0285 | {'f1': 0.8360450563204005} | {'accuracy': 0.7488015340364333} |
| 0.0015 | 622.0 | 21148 | 2.8398 | {'f1': 0.8365019011406846} | {'accuracy': 0.7526366251198466} |
| 0.0015 | 623.0 | 21182 | 2.8117 | {'f1': 0.8368522072936659} | {'accuracy': 0.7555129434324065} |
| 0.0015 | 624.0 | 21216 | 2.8077 | {'f1': 0.8382541720154044} | {'accuracy': 0.7583892617449665} |
| 0.0015 | 625.0 | 21250 | 2.8137 | {'f1': 0.837924407431134} | {'accuracy': 0.7574304889741131} |
| 0.0015 | 626.0 | 21284 | 2.8642 | {'f1': 0.84078036500944} | {'accuracy': 0.7574304889741131} |
| 0.0015 | 627.0 | 21318 | 2.8839 | {'f1': 0.8404522613065327} | {'accuracy': 0.7564717162032598} |
| 0.0015 | 628.0 | 21352 | 2.8897 | {'f1': 0.8404522613065327} | {'accuracy': 0.7564717162032598} |
| 0.0015 | 629.0 | 21386 | 2.7354 | {'f1': 0.8275401069518716} | {'accuracy': 0.7526366251198466} |
| 0.0015 | 630.0 | 21420 | 2.8438 | {'f1': 0.8375634517766497} | {'accuracy': 0.7545541706615532} |
| 0.0015 | 631.0 | 21454 | 2.7435 | {'f1': 0.8371187540558079} | {'accuracy': 0.7593480345158198} |
| 0.0015 | 632.0 | 21488 | 3.0514 | {'f1': 0.8437884378843787} | {'accuracy': 0.7564717162032598} |
| 0.0024 | 633.0 | 21522 | 3.1385 | {'f1': 0.8419117647058822} | {'accuracy': 0.7526366251198466} |
| 0.0024 | 634.0 | 21556 | 2.7682 | {'f1': 0.8380829015544042} | {'accuracy': 0.7603068072866731} |
| 0.0024 | 635.0 | 21590 | 3.0654 | {'f1': 0.8427518427518428} | {'accuracy': 0.7545541706615532} |
| 0.0024 | 636.0 | 21624 | 2.8195 | {'f1': 0.8378033205619413} | {'accuracy': 0.7564717162032598} |
| 0.0024 | 637.0 | 21658 | 2.9246 | {'f1': 0.844082654978084} | {'accuracy': 0.7612655800575263} |
| 0.0024 | 638.0 | 21692 | 3.1259 | {'f1': 0.8419117647058822} | {'accuracy': 0.7526366251198466} |
| 0.0024 | 639.0 | 21726 | 3.0291 | {'f1': 0.8456292622442653} | {'accuracy': 0.7612655800575263} |
| 0.0024 | 640.0 | 21760 | 2.8685 | {'f1': 0.8328981723237598} | {'accuracy': 0.7545541706615532} |
| 0.0024 | 641.0 | 21794 | 2.8966 | {'f1': 0.8401534526854221} | {'accuracy': 0.7603068072866731} |
| 0.0024 | 642.0 | 21828 | 3.0719 | {'f1': 0.8453481207640172} | {'accuracy': 0.7593480345158198} |
| 0.0024 | 643.0 | 21862 | 3.0737 | {'f1': 0.8453481207640172} | {'accuracy': 0.7593480345158198} |
| 0.0024 | 644.0 | 21896 | 3.0739 | {'f1': 0.8453481207640172} | {'accuracy': 0.7593480345158198} |
| 0.0024 | 645.0 | 21930 | 3.0741 | {'f1': 0.8458692971639952} | {'accuracy': 0.7603068072866731} |
| 0.0024 | 646.0 | 21964 | 3.0746 | {'f1': 0.8458692971639952} | {'accuracy': 0.7603068072866731} |
| 0.0024 | 647.0 | 21998 | 3.0600 | {'f1': 0.845679012345679} | {'accuracy': 0.7603068072866731} |
| 0.0015 | 648.0 | 22032 | 2.9669 | {'f1': 0.8430268918073796} | {'accuracy': 0.7593480345158198} |
| 0.0015 | 649.0 | 22066 | 2.8459 | {'f1': 0.835193696651346} | {'accuracy': 0.7593480345158198} |
| 0.0015 | 650.0 | 22100 | 3.3386 | {'f1': 0.8432563791008505} | {'accuracy': 0.7526366251198466} |
| 0.0015 | 651.0 | 22134 | 3.3767 | {'f1': 0.8429351121892056} | {'accuracy': 0.7516778523489933} |
| 0.0015 | 652.0 | 22168 | 3.3389 | {'f1': 0.8432563791008505} | {'accuracy': 0.7526366251198466} |
| 0.0015 | 653.0 | 22202 | 3.3229 | {'f1': 0.8440925700365408} | {'accuracy': 0.7545541706615532} |
| 0.0015 | 654.0 | 22236 | 3.3206 | {'f1': 0.8446069469835467} | {'accuracy': 0.7555129434324065} |
| 0.0015 | 655.0 | 22270 | 2.8669 | {'f1': 0.8390433096315449} | {'accuracy': 0.7612655800575263} |
| 0.0015 | 656.0 | 22304 | 2.8560 | {'f1': 0.8359375000000001} | {'accuracy': 0.7583892617449665} |
| 0.0015 | 657.0 | 22338 | 2.8596 | {'f1': 0.8374512353706112} | {'accuracy': 0.7603068072866731} |
| 0.0015 | 658.0 | 22372 | 2.8640 | {'f1': 0.8386260531432276} | {'accuracy': 0.7612655800575263} |
| 0.0015 | 659.0 | 22406 | 2.8739 | {'f1': 0.84} | {'accuracy': 0.7622243528283796} |
| 0.0015 | 660.0 | 22440 | 2.8786 | {'f1': 0.8422408242112042} | {'accuracy': 0.7651006711409396} |
| 0.0015 | 661.0 | 22474 | 3.0281 | {'f1': 0.8462500000000001} | {'accuracy': 0.7641418983700863} |
| 0.0009 | 662.0 | 22508 | 3.0632 | {'f1': 0.8453865336658354} | {'accuracy': 0.7622243528283796} |
| 0.0009 | 663.0 | 22542 | 3.0650 | {'f1': 0.8453865336658354} | {'accuracy': 0.7622243528283796} |
| 0.0009 | 664.0 | 22576 | 3.0647 | {'f1': 0.8453865336658354} | {'accuracy': 0.7622243528283796} |
| 0.0009 | 665.0 | 22610 | 3.0650 | {'f1': 0.8459139114160948} | {'accuracy': 0.763183125599233} |
| 0.0009 | 666.0 | 22644 | 2.8335 | {'f1': 0.8356435643564357} | {'accuracy': 0.7612655800575263} |
| 0.0009 | 667.0 | 22678 | 3.6002 | {'f1': 0.8363201911589008} | {'accuracy': 0.7372962607861937} |
| 0.0009 | 668.0 | 22712 | 2.8852 | {'f1': 0.8420373952288847} | {'accuracy': 0.7651006711409396} |
| 0.0009 | 669.0 | 22746 | 2.9744 | {'f1': 0.8397720075997466} | {'accuracy': 0.7574304889741131} |
| 0.0009 | 670.0 | 22780 | 2.9828 | {'f1': 0.8399746995572422} | {'accuracy': 0.7574304889741131} |
| 0.0009 | 671.0 | 22814 | 2.9874 | {'f1': 0.8399746995572422} | {'accuracy': 0.7574304889741131} |
| 0.0009 | 672.0 | 22848 | 2.9887 | {'f1': 0.8399746995572422} | {'accuracy': 0.7574304889741131} |
| 0.0009 | 673.0 | 22882 | 2.9903 | {'f1': 0.8399746995572422} | {'accuracy': 0.7574304889741131} |
| 0.0009 | 674.0 | 22916 | 2.9922 | {'f1': 0.8399746995572422} | {'accuracy': 0.7574304889741131} |
| 0.0009 | 675.0 | 22950 | 2.9965 | {'f1': 0.8399746995572422} | {'accuracy': 0.7574304889741131} |
| 0.0009 | 676.0 | 22984 | 2.9995 | {'f1': 0.8399746995572422} | {'accuracy': 0.7574304889741131} |
| 0.0014 | 677.0 | 23018 | 3.0019 | {'f1': 0.8399746995572422} | {'accuracy': 0.7574304889741131} |
| 0.0014 | 678.0 | 23052 | 3.0081 | {'f1': 0.840378548895899} | {'accuracy': 0.7574304889741131} |
| 0.0014 | 679.0 | 23086 | 3.2019 | {'f1': 0.8422344996930632} | {'accuracy': 0.7535953978907} |
| 0.0014 | 680.0 | 23120 | 2.9295 | {'f1': 0.8387925497752088} | {'accuracy': 0.7593480345158198} |
| 0.0014 | 681.0 | 23154 | 2.9268 | {'f1': 0.8387925497752088} | {'accuracy': 0.7593480345158198} |
| 0.0014 | 682.0 | 23188 | 2.9346 | {'f1': 0.8387925497752088} | {'accuracy': 0.7593480345158198} |
| 0.0014 | 683.0 | 23222 | 2.9397 | {'f1': 0.8387925497752088} | {'accuracy': 0.7593480345158198} |
| 0.0014 | 684.0 | 23256 | 2.9429 | {'f1': 0.8387925497752088} | {'accuracy': 0.7593480345158198} |
| 0.0014 | 685.0 | 23290 | 3.1432 | {'f1': 0.8413878562577447} | {'accuracy': 0.7545541706615532} |
| 0.0014 | 686.0 | 23324 | 3.5300 | {'f1': 0.8385542168674699} | {'accuracy': 0.7430488974113135} |
| 0.0014 | 687.0 | 23358 | 3.1182 | {'f1': 0.8438661710037174} | {'accuracy': 0.7583892617449665} |
| 0.0014 | 688.0 | 23392 | 3.1548 | {'f1': 0.8424953675108092} | {'accuracy': 0.7555129434324065} |
| 0.0014 | 689.0 | 23426 | 3.1529 | {'f1': 0.8424953675108092} | {'accuracy': 0.7555129434324065} |
| 0.0014 | 690.0 | 23460 | 3.1593 | {'f1': 0.8424953675108092} | {'accuracy': 0.7555129434324065} |
| 0.0014 | 691.0 | 23494 | 3.1600 | {'f1': 0.8424953675108092} | {'accuracy': 0.7555129434324065} |
| 0.0011 | 692.0 | 23528 | 3.1630 | {'f1': 0.8424953675108092} | {'accuracy': 0.7555129434324065} |
| 0.0011 | 693.0 | 23562 | 3.0266 | {'f1': 0.8395217117684078} | {'accuracy': 0.7555129434324065} |
| 0.0011 | 694.0 | 23596 | 2.9661 | {'f1': 0.8388746803069054} | {'accuracy': 0.7583892617449665} |
| 0.0011 | 695.0 | 23630 | 2.9710 | {'f1': 0.8393650793650793} | {'accuracy': 0.7574304889741131} |
| 0.0011 | 696.0 | 23664 | 2.9480 | {'f1': 0.8354922279792747} | {'accuracy': 0.7564717162032598} |
| 0.0011 | 697.0 | 23698 | 3.0036 | {'f1': 0.837238758708043} | {'accuracy': 0.7535953978907} |
| 0.0011 | 698.0 | 23732 | 3.5675 | {'f1': 0.8378541289933695} | {'accuracy': 0.7420901246404602} |
| 0.0011 | 699.0 | 23766 | 2.9796 | {'f1': 0.8388324873096447} | {'accuracy': 0.7564717162032598} |
| 0.0011 | 700.0 | 23800 | 3.5724 | {'f1': 0.8373493975903615} | {'accuracy': 0.7411313518696069} |
| 0.0011 | 701.0 | 23834 | 3.1092 | {'f1': 0.836341008089608} | {'accuracy': 0.74784276126558} |
| 0.0011 | 702.0 | 23868 | 3.0981 | {'f1': 0.8368617683686177} | {'accuracy': 0.7488015340364333} |
| 0.0011 | 703.0 | 23902 | 3.0988 | {'f1': 0.8368617683686177} | {'accuracy': 0.7488015340364333} |
| 0.0011 | 704.0 | 23936 | 3.1014 | {'f1': 0.8368617683686177} | {'accuracy': 0.7488015340364333} |
| 0.0011 | 705.0 | 23970 | 2.9096 | {'f1': 0.835820895522388} | {'accuracy': 0.7574304889741131} |
| 0.0011 | 706.0 | 24004 | 2.8964 | {'f1': 0.835742444152431} | {'accuracy': 0.7603068072866731} |
| 0.0011 | 707.0 | 24038 | 3.1746 | {'f1': 0.8408521303258145} | {'accuracy': 0.7564717162032598} |
| 0.0011 | 708.0 | 24072 | 3.2400 | {'f1': 0.8395522388059702} | {'accuracy': 0.7526366251198466} |
| 0.0011 | 709.0 | 24106 | 3.2435 | {'f1': 0.8395522388059702} | {'accuracy': 0.7526366251198466} |
| 0.0011 | 710.0 | 24140 | 3.2399 | {'f1': 0.8395522388059702} | {'accuracy': 0.7526366251198466} |
| 0.0011 | 711.0 | 24174 | 3.2439 | {'f1': 0.8395522388059702} | {'accuracy': 0.7526366251198466} |
| 0.0011 | 712.0 | 24208 | 3.2452 | {'f1': 0.8395522388059702} | {'accuracy': 0.7526366251198466} |
| 0.0011 | 713.0 | 24242 | 3.2460 | {'f1': 0.8395522388059702} | {'accuracy': 0.7526366251198466} |
| 0.0011 | 714.0 | 24276 | 3.2482 | {'f1': 0.8395522388059702} | {'accuracy': 0.7526366251198466} |
| 0.0011 | 715.0 | 24310 | 3.2496 | {'f1': 0.8395522388059702} | {'accuracy': 0.7526366251198466} |
| 0.0011 | 716.0 | 24344 | 2.8230 | {'f1': 0.8267558528428093} | {'accuracy': 0.7516778523489933} |
| 0.0011 | 717.0 | 24378 | 3.0923 | {'f1': 0.8367473618870268} | {'accuracy': 0.74784276126558} |
| 0.0011 | 718.0 | 24412 | 3.1070 | {'f1': 0.8366583541147131} | {'accuracy': 0.7488015340364333} |
| 0.0011 | 719.0 | 24446 | 3.1593 | {'f1': 0.8410636982065552} | {'accuracy': 0.7535953978907} |
| 0.0011 | 720.0 | 24480 | 3.4845 | {'f1': 0.8378216636744464} | {'accuracy': 0.7401725790987536} |
| 0.0043 | 721.0 | 24514 | 2.9314 | {'f1': 0.8373266078184111} | {'accuracy': 0.7526366251198466} |
| 0.0043 | 722.0 | 24548 | 2.9134 | {'f1': 0.837650031585597} | {'accuracy': 0.7535953978907} |
| 0.0043 | 723.0 | 24582 | 2.9149 | {'f1': 0.837650031585597} | {'accuracy': 0.7535953978907} |
| 0.0043 | 724.0 | 24616 | 2.9433 | {'f1': 0.8373266078184111} | {'accuracy': 0.7526366251198466} |
| 0.0043 | 725.0 | 24650 | 2.9492 | {'f1': 0.8373266078184111} | {'accuracy': 0.7526366251198466} |
| 0.0043 | 726.0 | 24684 | 2.9308 | {'f1': 0.8371212121212122} | {'accuracy': 0.7526366251198466} |
| 0.0043 | 727.0 | 24718 | 2.9115 | {'f1': 0.8359721342621914} | {'accuracy': 0.7516778523489933} |
| 0.0043 | 728.0 | 24752 | 3.3925 | {'f1': 0.8399518652226233} | {'accuracy': 0.7449664429530202} |
| 0.0043 | 729.0 | 24786 | 2.8874 | {'f1': 0.8383005707038681} | {'accuracy': 0.7555129434324065} |
| 0.0043 | 730.0 | 24820 | 2.8933 | {'f1': 0.8390367553865652} | {'accuracy': 0.7564717162032598} |
| 0.0043 | 731.0 | 24854 | 2.7986 | {'f1': 0.8317089018843405} | {'accuracy': 0.7516778523489933} |
| 0.0043 | 732.0 | 24888 | 2.7958 | {'f1': 0.8307291666666667} | {'accuracy': 0.75071907957814} |
| 0.0043 | 733.0 | 24922 | 2.8255 | {'f1': 0.8336569579288027} | {'accuracy': 0.7535953978907} |
| 0.0043 | 734.0 | 24956 | 2.8411 | {'f1': 0.832258064516129} | {'accuracy': 0.75071907957814} |
| 0.0043 | 735.0 | 24990 | 3.2118 | {'f1': 0.8390243902439024} | {'accuracy': 0.7468839884947267} |
| 0.0023 | 736.0 | 25024 | 2.8077 | {'f1': 0.8343004513217279} | {'accuracy': 0.7535953978907} |
| 0.0023 | 737.0 | 25058 | 2.8435 | {'f1': 0.834293026231606} | {'accuracy': 0.7516778523489933} |
| 0.0023 | 738.0 | 25092 | 2.8521 | {'f1': 0.8337595907928389} | {'accuracy': 0.75071907957814} |
| 0.0023 | 739.0 | 25126 | 2.8913 | {'f1': 0.832908163265306} | {'accuracy': 0.7488015340364333} |
| 0.0023 | 740.0 | 25160 | 2.8955 | {'f1': 0.832908163265306} | {'accuracy': 0.7488015340364333} |
| 0.0023 | 741.0 | 25194 | 2.8995 | {'f1': 0.832908163265306} | {'accuracy': 0.7488015340364333} |
| 0.0023 | 742.0 | 25228 | 2.8991 | {'f1': 0.832908163265306} | {'accuracy': 0.7488015340364333} |
| 0.0023 | 743.0 | 25262 | 2.9040 | {'f1': 0.832908163265306} | {'accuracy': 0.7488015340364333} |
| 0.0023 | 744.0 | 25296 | 2.9465 | {'f1': 0.8390367553865652} | {'accuracy': 0.7564717162032598} |
| 0.0023 | 745.0 | 25330 | 2.9596 | {'f1': 0.8394437420986094} | {'accuracy': 0.7564717162032598} |
| 0.0023 | 746.0 | 25364 | 2.9590 | {'f1': 0.8399746995572422} | {'accuracy': 0.7574304889741131} |
| 0.0023 | 747.0 | 25398 | 2.9597 | {'f1': 0.8399746995572422} | {'accuracy': 0.7574304889741131} |
| 0.0023 | 748.0 | 25432 | 2.9618 | {'f1': 0.8399746995572422} | {'accuracy': 0.7574304889741131} |
| 0.0023 | 749.0 | 25466 | 2.9805 | {'f1': 0.840378548895899} | {'accuracy': 0.7574304889741131} |
| 0.0 | 750.0 | 25500 | 2.9831 | {'f1': 0.8398486759142497} | {'accuracy': 0.7564717162032598} |
| 0.0 | 751.0 | 25534 | 2.9550 | {'f1': 0.8386277001270648} | {'accuracy': 0.7564717162032598} |
| 0.0 | 752.0 | 25568 | 2.9528 | {'f1': 0.8391608391608393} | {'accuracy': 0.7574304889741131} |
| 0.0 | 753.0 | 25602 | 2.9878 | {'f1': 0.8389134554643083} | {'accuracy': 0.7555129434324065} |
| 0.0 | 754.0 | 25636 | 2.9908 | {'f1': 0.8389134554643083} | {'accuracy': 0.7555129434324065} |
| 0.0 | 755.0 | 25670 | 2.9924 | {'f1': 0.8389134554643083} | {'accuracy': 0.7555129434324065} |
| 0.0 | 756.0 | 25704 | 2.9938 | {'f1': 0.8389134554643083} | {'accuracy': 0.7555129434324065} |
| 0.0 | 757.0 | 25738 | 3.0004 | {'f1': 0.8389134554643083} | {'accuracy': 0.7555129434324065} |
| 0.0 | 758.0 | 25772 | 3.0155 | {'f1': 0.840378548895899} | {'accuracy': 0.7574304889741131} |
| 0.0 | 759.0 | 25806 | 3.0170 | {'f1': 0.840378548895899} | {'accuracy': 0.7574304889741131} |
| 0.0 | 760.0 | 25840 | 3.0184 | {'f1': 0.840378548895899} | {'accuracy': 0.7574304889741131} |
| 0.0 | 761.0 | 25874 | 3.0192 | {'f1': 0.840378548895899} | {'accuracy': 0.7574304889741131} |
| 0.0 | 762.0 | 25908 | 3.1057 | {'f1': 0.8402734617775015} | {'accuracy': 0.7535953978907} |
| 0.0 | 763.0 | 25942 | 2.6765 | {'f1': 0.8327911515940144} | {'accuracy': 0.7535953978907} |
| 0.0 | 764.0 | 25976 | 2.7808 | {'f1': 0.8396756082345601} | {'accuracy': 0.7535953978907} |
| 0.0029 | 765.0 | 26010 | 2.9076 | {'f1': 0.8375540457072268} | {'accuracy': 0.74784276126558} |
| 0.0029 | 766.0 | 26044 | 2.6470 | {'f1': 0.8363171355498722} | {'accuracy': 0.7545541706615532} |
| 0.0029 | 767.0 | 26078 | 2.6168 | {'f1': 0.8330084470435347} | {'accuracy': 0.7535953978907} |
| 0.0029 | 768.0 | 26112 | 2.5902 | {'f1': 0.8344283837056505} | {'accuracy': 0.7583892617449665} |
| 0.0029 | 769.0 | 26146 | 2.5932 | {'f1': 0.8364820846905537} | {'accuracy': 0.7593480345158198} |
| 0.0029 | 770.0 | 26180 | 2.6266 | {'f1': 0.8343004513217279} | {'accuracy': 0.7535953978907} |
| 0.0029 | 771.0 | 26214 | 2.6331 | {'f1': 0.834726688102894} | {'accuracy': 0.7535953978907} |
| 0.0029 | 772.0 | 26248 | 2.6463 | {'f1': 0.8371794871794872} | {'accuracy': 0.7564717162032598} |
| 0.0029 | 773.0 | 26282 | 3.1462 | {'f1': 0.8367593712212817} | {'accuracy': 0.7411313518696069} |
| 0.0029 | 774.0 | 26316 | 2.9040 | {'f1': 0.8391089108910891} | {'accuracy': 0.75071907957814} |
| 0.0029 | 775.0 | 26350 | 3.3436 | {'f1': 0.8363201911589008} | {'accuracy': 0.7372962607861937} |
| 0.0029 | 776.0 | 26384 | 2.7757 | {'f1': 0.8389134554643083} | {'accuracy': 0.7555129434324065} |
| 0.0029 | 777.0 | 26418 | 2.7650 | {'f1': 0.8399746995572422} | {'accuracy': 0.7574304889741131} |
| 0.0029 | 778.0 | 26452 | 2.7741 | {'f1': 0.8394437420986094} | {'accuracy': 0.7564717162032598} |
| 0.0029 | 779.0 | 26486 | 2.7977 | {'f1': 0.8391167192429022} | {'accuracy': 0.7555129434324065} |
| 0.0003 | 780.0 | 26520 | 2.8005 | {'f1': 0.8391167192429022} | {'accuracy': 0.7555129434324065} |
| 0.0003 | 781.0 | 26554 | 2.6762 | {'f1': 0.8367875647668395} | {'accuracy': 0.7583892617449665} |
| 0.0003 | 782.0 | 26588 | 2.6492 | {'f1': 0.8342105263157895} | {'accuracy': 0.7583892617449665} |
| 0.0003 | 783.0 | 26622 | 2.7796 | {'f1': 0.8380952380952381} | {'accuracy': 0.7555129434324065} |
| 0.0003 | 784.0 | 26656 | 2.8384 | {'f1': 0.8397234443746072} | {'accuracy': 0.7555129434324065} |
| 0.0003 | 785.0 | 26690 | 2.8411 | {'f1': 0.8397234443746072} | {'accuracy': 0.7555129434324065} |
| 0.0003 | 786.0 | 26724 | 2.8711 | {'f1': 0.837238758708043} | {'accuracy': 0.7535953978907} |
| 0.0003 | 787.0 | 26758 | 2.8324 | {'f1': 0.8354591836734695} | {'accuracy': 0.7526366251198466} |
| 0.0003 | 788.0 | 26792 | 3.2309 | {'f1': 0.8357487922705313} | {'accuracy': 0.7392138063279002} |
| 0.0003 | 789.0 | 26826 | 3.0963 | {'f1': 0.8378378378378378} | {'accuracy': 0.7468839884947267} |
| 0.0003 | 790.0 | 26860 | 2.8388 | {'f1': 0.8398983481575605} | {'accuracy': 0.7583892617449665} |
| 0.0003 | 791.0 | 26894 | 2.8356 | {'f1': 0.8402291534054743} | {'accuracy': 0.7593480345158198} |
| 0.0003 | 792.0 | 26928 | 2.8395 | {'f1': 0.8402291534054743} | {'accuracy': 0.7593480345158198} |
| 0.0003 | 793.0 | 26962 | 2.8449 | {'f1': 0.8398983481575605} | {'accuracy': 0.7583892617449665} |
| 0.0003 | 794.0 | 26996 | 2.8514 | {'f1': 0.8413705583756345} | {'accuracy': 0.7603068072866731} |
| 0.0005 | 795.0 | 27030 | 2.8518 | {'f1': 0.8406349206349206} | {'accuracy': 0.7593480345158198} |
| 0.0005 | 796.0 | 27064 | 2.8494 | {'f1': 0.8404322949777496} | {'accuracy': 0.7593480345158198} |
| 0.0005 | 797.0 | 27098 | 2.8529 | {'f1': 0.8411689961880559} | {'accuracy': 0.7603068072866731} |
| 0.0005 | 798.0 | 27132 | 2.8607 | {'f1': 0.8413705583756345} | {'accuracy': 0.7603068072866731} |
| 0.0005 | 799.0 | 27166 | 2.8993 | {'f1': 0.8405063291139242} | {'accuracy': 0.7583892617449665} |
| 0.0005 | 800.0 | 27200 | 2.9058 | {'f1': 0.8407079646017699} | {'accuracy': 0.7583892617449665} |
| 0.0005 | 801.0 | 27234 | 2.9114 | {'f1': 0.8407079646017699} | {'accuracy': 0.7583892617449665} |
| 0.0005 | 802.0 | 27268 | 2.9156 | {'f1': 0.8401768793430195} | {'accuracy': 0.7574304889741131} |
| 0.0005 | 803.0 | 27302 | 2.9184 | {'f1': 0.8401768793430195} | {'accuracy': 0.7574304889741131} |
| 0.0005 | 804.0 | 27336 | 2.7580 | {'f1': 0.833112582781457} | {'accuracy': 0.7583892617449665} |
| 0.0005 | 805.0 | 27370 | 2.9621 | {'f1': 0.8415779586725111} | {'accuracy': 0.7574304889741131} |
| 0.0005 | 806.0 | 27404 | 2.8754 | {'f1': 0.8441396508728181} | {'accuracy': 0.7603068072866731} |
| 0.0005 | 807.0 | 27438 | 3.1519 | {'f1': 0.8371810449574727} | {'accuracy': 0.7430488974113135} |
| 0.0005 | 808.0 | 27472 | 3.1315 | {'f1': 0.836275106512477} | {'accuracy': 0.7420901246404602} |
| 0.0018 | 809.0 | 27506 | 2.7069 | {'f1': 0.8364576599870717} | {'accuracy': 0.7574304889741131} |
| 0.0018 | 810.0 | 27540 | 2.6744 | {'f1': 0.8370273794002607} | {'accuracy': 0.7603068072866731} |
| 0.0018 | 811.0 | 27574 | 2.7519 | {'f1': 0.8385852090032154} | {'accuracy': 0.7593480345158198} |
| 0.0018 | 812.0 | 27608 | 2.6985 | {'f1': 0.837393021724819} | {'accuracy': 0.763183125599233} |
| 0.0018 | 813.0 | 27642 | 2.9175 | {'f1': 0.8382630585273756} | {'accuracy': 0.7535953978907} |
| 0.0018 | 814.0 | 27676 | 2.9293 | {'f1': 0.8372093023255814} | {'accuracy': 0.7516778523489933} |
| 0.0018 | 815.0 | 27710 | 2.8987 | {'f1': 0.8367729831144466} | {'accuracy': 0.7497603068072867} |
| 0.0018 | 816.0 | 27744 | 2.8777 | {'f1': 0.8374136848713121} | {'accuracy': 0.7516778523489933} |
| 0.0018 | 817.0 | 27778 | 2.9923 | {'f1': 0.8349875930521091} | {'accuracy': 0.7449664429530202} |
| 0.0018 | 818.0 | 27812 | 2.8838 | {'f1': 0.8393194706994328} | {'accuracy': 0.7555129434324065} |
| 0.0018 | 819.0 | 27846 | 2.8828 | {'f1': 0.8393194706994328} | {'accuracy': 0.7555129434324065} |
| 0.0018 | 820.0 | 27880 | 2.8843 | {'f1': 0.8393194706994328} | {'accuracy': 0.7555129434324065} |
| 0.0018 | 821.0 | 27914 | 2.8861 | {'f1': 0.8393194706994328} | {'accuracy': 0.7555129434324065} |
| 0.0018 | 822.0 | 27948 | 2.8891 | {'f1': 0.8393194706994328} | {'accuracy': 0.7555129434324065} |
| 0.0018 | 823.0 | 27982 | 2.8908 | {'f1': 0.8393194706994328} | {'accuracy': 0.7555129434324065} |
| 0.0014 | 824.0 | 28016 | 2.7491 | {'f1': 0.8410852713178294} | {'accuracy': 0.7641418983700863} |
| 0.0014 | 825.0 | 28050 | 2.7360 | {'f1': 0.8429967426710098} | {'accuracy': 0.7689357622243528} |
| 0.0014 | 826.0 | 28084 | 2.7455 | {'f1': 0.8426527958387516} | {'accuracy': 0.7679769894534996} |
| 0.0014 | 827.0 | 28118 | 3.2188 | {'f1': 0.8390243902439024} | {'accuracy': 0.7468839884947267} |
| 0.0014 | 828.0 | 28152 | 2.9161 | {'f1': 0.8409805153991201} | {'accuracy': 0.7574304889741131} |
| 0.0014 | 829.0 | 28186 | 2.8024 | {'f1': 0.8427109974424553} | {'accuracy': 0.7641418983700863} |
| 0.0014 | 830.0 | 28220 | 2.8061 | {'f1': 0.8427109974424553} | {'accuracy': 0.7641418983700863} |
| 0.0014 | 831.0 | 28254 | 2.9948 | {'f1': 0.8423676012461059} | {'accuracy': 0.7574304889741131} |
| 0.0014 | 832.0 | 28288 | 2.8699 | {'f1': 0.8430379746835445} | {'accuracy': 0.7622243528283796} |
| 0.0014 | 833.0 | 28322 | 2.8678 | {'f1': 0.8430379746835445} | {'accuracy': 0.7622243528283796} |
| 0.0014 | 834.0 | 28356 | 3.1026 | {'f1': 0.8439803439803439} | {'accuracy': 0.7564717162032598} |
| 0.0014 | 835.0 | 28390 | 3.3516 | {'f1': 0.8371531966224366} | {'accuracy': 0.7411313518696069} |
| 0.0014 | 836.0 | 28424 | 3.1450 | {'f1': 0.8433292533659731} | {'accuracy': 0.7545541706615532} |
| 0.0014 | 837.0 | 28458 | 3.1280 | {'f1': 0.842040565457898} | {'accuracy': 0.7535953978907} |
| 0.0014 | 838.0 | 28492 | 2.9122 | {'f1': 0.8435718809373022} | {'accuracy': 0.763183125599233} |
| 0.0009 | 839.0 | 28526 | 2.8641 | {'f1': 0.8431122448979593} | {'accuracy': 0.7641418983700863} |
| 0.0009 | 840.0 | 28560 | 2.8744 | {'f1': 0.8420382165605096} | {'accuracy': 0.7622243528283796} |
| 0.0009 | 841.0 | 28594 | 2.8800 | {'f1': 0.8420382165605096} | {'accuracy': 0.7622243528283796} |
| 0.0009 | 842.0 | 28628 | 2.8838 | {'f1': 0.841502227880331} | {'accuracy': 0.7612655800575263} |
| 0.0009 | 843.0 | 28662 | 2.8855 | {'f1': 0.841502227880331} | {'accuracy': 0.7612655800575263} |
| 0.0009 | 844.0 | 28696 | 2.8870 | {'f1': 0.8422391857506362} | {'accuracy': 0.7622243528283796} |
The model card is truncated. Read the rest on Hugging Face.
- License
- apache-2.0
- Created
- Oct 15, 2023
- Updated
- Oct 16, 2023