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bert-base-uncased-test_16_2138
kwwww/bert-base-uncased-test_16_2138
bert-base-uncased-test_16_2138 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 15, 2023
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Oct 15, 2023
- Updated
- Oct 15, 2023
- SHA
- 2a4d0054
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_2138
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: 0.6182
- F1: {'f1': 0.8174603174603174}
- Accuracy: {'accuracy': 0.6912751677852349}
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 | 134 | 0.4918 | {'f1': 0.8520859671302149} | {'accuracy': 0.775647171620326} |
| No log | 2.0 | 268 | 0.5031 | {'f1': 0.8641655886157827} | {'accuracy': 0.7986577181208053} |
| No log | 3.0 | 402 | 0.6099 | {'f1': 0.8589108910891089} | {'accuracy': 0.7813998082454459} |
| 0.4741 | 4.0 | 536 | 0.7132 | {'f1': 0.8497474747474748} | {'accuracy': 0.7718120805369127} |
| 0.4741 | 5.0 | 670 | 0.7420 | {'f1': 0.8461066830165542} | {'accuracy': 0.7593480345158198} |
| 0.4741 | 6.0 | 804 | 1.0876 | {'f1': 0.8503359804520464} | {'accuracy': 0.7651006711409396} |
| 0.4741 | 7.0 | 938 | 0.7154 | {'f1': 0.8500327439423706} | {'accuracy': 0.7804410354745925} |
| 0.2319 | 8.0 | 1072 | 0.6827 | {'f1': 0.8556566970091029} | {'accuracy': 0.7871524448705657} |
| 0.2319 | 9.0 | 1206 | 0.9771 | {'f1': 0.8565989847715736} | {'accuracy': 0.7833173537871524} |
| 0.2319 | 10.0 | 1340 | 0.7325 | {'f1': 0.8541014402003758} | {'accuracy': 0.7766059443911792} |
| 0.2319 | 11.0 | 1474 | 1.1385 | {'f1': 0.8593350383631713} | {'accuracy': 0.7890699904122723} |
| 0.1431 | 12.0 | 1608 | 1.3257 | {'f1': 0.861128725428028} | {'accuracy': 0.7900287631831256} |
| 0.1431 | 13.0 | 1742 | 1.1232 | {'f1': 0.857516339869281} | {'accuracy': 0.7909875359539789} |
| 0.1431 | 14.0 | 1876 | 1.0308 | {'f1': 0.8436886854153041} | {'accuracy': 0.7708533077660594} |
| 0.0971 | 15.0 | 2010 | 1.0437 | {'f1': 0.8602287166454892} | {'accuracy': 0.7890699904122723} |
| 0.0971 | 16.0 | 2144 | 0.9407 | {'f1': 0.8469318948078218} | {'accuracy': 0.7823585810162992} |
| 0.0971 | 17.0 | 2278 | 1.2419 | {'f1': 0.8521739130434782} | {'accuracy': 0.7718120805369127} |
| 0.0971 | 18.0 | 2412 | 0.9628 | {'f1': 0.8547557840616967} | {'accuracy': 0.7833173537871524} |
| 0.1019 | 19.0 | 2546 | 1.4245 | {'f1': 0.8535193405199747} | {'accuracy': 0.7785234899328859} |
| 0.1019 | 20.0 | 2680 | 1.3129 | {'f1': 0.8543046357615893} | {'accuracy': 0.7890699904122723} |
| 0.1019 | 21.0 | 2814 | 0.9733 | {'f1': 0.8517264725795531} | {'accuracy': 0.7900287631831256} |
| 0.1019 | 22.0 | 2948 | 1.3871 | {'f1': 0.8584415584415586} | {'accuracy': 0.7909875359539789} |
| 0.0885 | 23.0 | 3082 | 1.0680 | {'f1': 0.8411843876177658} | {'accuracy': 0.7737296260786194} |
| 0.0885 | 24.0 | 3216 | 0.9656 | {'f1': 0.8591639871382638} | {'accuracy': 0.7900287631831256} |
| 0.0885 | 25.0 | 3350 | 1.3420 | {'f1': 0.8609523809523809} | {'accuracy': 0.7900287631831256} |
| 0.0885 | 26.0 | 3484 | 1.3554 | {'f1': 0.8304256803907886} | {'accuracy': 0.7670182166826462} |
| 0.0896 | 27.0 | 3618 | 1.3181 | {'f1': 0.814498933901919} | {'accuracy': 0.7497603068072867} |
| 0.0896 | 28.0 | 3752 | 1.1851 | {'f1': 0.8500635324015249} | {'accuracy': 0.7737296260786194} |
| 0.0896 | 29.0 | 3886 | 1.5420 | {'f1': 0.8514724711907811} | {'accuracy': 0.7775647171620326} |
| 0.0965 | 30.0 | 4020 | 1.0239 | {'f1': 0.8458498023715415} | {'accuracy': 0.775647171620326} |
| 0.0965 | 31.0 | 4154 | 0.9101 | {'f1': 0.8524590163934426} | {'accuracy': 0.7842761265580057} |
| 0.0965 | 32.0 | 4288 | 1.4658 | {'f1': 0.852294154619736} | {'accuracy': 0.7746883988494727} |
| 0.0965 | 33.0 | 4422 | 1.0554 | {'f1': 0.8542586750788642} | {'accuracy': 0.7785234899328859} |
| 0.0782 | 34.0 | 4556 | 1.4443 | {'f1': 0.847568988173456} | {'accuracy': 0.7775647171620326} |
| 0.0782 | 35.0 | 4690 | 1.5294 | {'f1': 0.8567823343848581} | {'accuracy': 0.7823585810162992} |
| 0.0782 | 36.0 | 4824 | 1.5011 | {'f1': 0.8578745198463508} | {'accuracy': 0.7871524448705657} |
| 0.0782 | 37.0 | 4958 | 1.4975 | {'f1': 0.8635778635778636} | {'accuracy': 0.7967401725790988} |
| 0.0781 | 38.0 | 5092 | 1.7467 | {'f1': 0.8462046204620463} | {'accuracy': 0.7766059443911792} |
| 0.0781 | 39.0 | 5226 | 1.3414 | {'f1': 0.860759493670886} | {'accuracy': 0.7890699904122723} |
| 0.0781 | 40.0 | 5360 | 1.3486 | {'f1': 0.8548082966687619} | {'accuracy': 0.7785234899328859} |
| 0.0781 | 41.0 | 5494 | 1.8240 | {'f1': 0.8645242596093259} | {'accuracy': 0.7938638542665388} |
| 0.0942 | 42.0 | 5628 | 1.5139 | {'f1': 0.8522072936660269} | {'accuracy': 0.7785234899328859} |
| 0.0942 | 43.0 | 5762 | 1.7029 | {'f1': 0.8451730418943533} | {'accuracy': 0.7555129434324065} |
| 0.0942 | 44.0 | 5896 | 1.0615 | {'f1': 0.8425987943737442} | {'accuracy': 0.7746883988494727} |
| 0.1001 | 45.0 | 6030 | 1.3853 | {'f1': 0.8426527958387516} | {'accuracy': 0.7679769894534996} |
| 0.1001 | 46.0 | 6164 | 1.2904 | {'f1': 0.8422425032594525} | {'accuracy': 0.7679769894534996} |
| 0.1001 | 47.0 | 6298 | 1.2764 | {'f1': 0.8495575221238938} | {'accuracy': 0.7718120805369127} |
| 0.1001 | 48.0 | 6432 | 1.4960 | {'f1': 0.8473091364205256} | {'accuracy': 0.7660594439117929} |
| 0.0769 | 49.0 | 6566 | 1.2106 | {'f1': 0.8447837150127226} | {'accuracy': 0.7660594439117929} |
| 0.0769 | 50.0 | 6700 | 1.3773 | {'f1': 0.831824062095731} | {'accuracy': 0.75071907957814} |
| 0.0769 | 51.0 | 6834 | 1.4270 | {'f1': 0.8468244084682441} | {'accuracy': 0.7641418983700863} |
| 0.0769 | 52.0 | 6968 | 1.7985 | {'f1': 0.839030453697949} | {'accuracy': 0.7516778523489933} |
| 0.081 | 53.0 | 7102 | 1.5645 | {'f1': 0.8547770700636943} | {'accuracy': 0.7813998082454459} |
| 0.081 | 54.0 | 7236 | 1.4940 | {'f1': 0.8457446808510638} | {'accuracy': 0.7775647171620326} |
| 0.081 | 55.0 | 7370 | 1.5845 | {'f1': 0.8422391857506362} | {'accuracy': 0.7622243528283796} |
| 0.0696 | 56.0 | 7504 | 1.3814 | {'f1': 0.8484447385837195} | {'accuracy': 0.7804410354745925} |
| 0.0696 | 57.0 | 7638 | 1.6754 | {'f1': 0.8355555555555555} | {'accuracy': 0.7516778523489933} |
| 0.0696 | 58.0 | 7772 | 1.3783 | {'f1': 0.8349514563106797} | {'accuracy': 0.7555129434324065} |
| 0.0696 | 59.0 | 7906 | 1.8881 | {'f1': 0.8476903870162297} | {'accuracy': 0.7660594439117929} |
| 0.0826 | 60.0 | 8040 | 1.4491 | {'f1': 0.8455790784557908} | {'accuracy': 0.7622243528283796} |
| 0.0826 | 61.0 | 8174 | 0.7588 | {'f1': 0.839262187088274} | {'accuracy': 0.7660594439117929} |
| 0.0826 | 62.0 | 8308 | 1.3588 | {'f1': 0.8484076433121019} | {'accuracy': 0.7718120805369127} |
| 0.0826 | 63.0 | 8442 | 1.5411 | {'f1': 0.8392511297611364} | {'accuracy': 0.7612655800575263} |
| 0.0803 | 64.0 | 8576 | 1.2588 | {'f1': 0.843308675184936} | {'accuracy': 0.7766059443911792} |
| 0.0803 | 65.0 | 8710 | 1.1741 | {'f1': 0.8392370572207084} | {'accuracy': 0.7737296260786194} |
| 0.0803 | 66.0 | 8844 | 1.6998 | {'f1': 0.845016077170418} | {'accuracy': 0.7689357622243528} |
| 0.0803 | 67.0 | 8978 | 1.2593 | {'f1': 0.8463949843260189} | {'accuracy': 0.7651006711409396} |
| 0.0734 | 68.0 | 9112 | 1.2837 | {'f1': 0.8431746031746032} | {'accuracy': 0.763183125599233} |
| 0.0734 | 69.0 | 9246 | 1.6949 | {'f1': 0.8442728442728443} | {'accuracy': 0.7679769894534996} |
| 0.0734 | 70.0 | 9380 | 1.4406 | {'f1': 0.8373333333333333} | {'accuracy': 0.7660594439117929} |
| 0.062 | 71.0 | 9514 | 1.4289 | {'f1': 0.8375838926174496} | {'accuracy': 0.7679769894534996} |
| 0.062 | 72.0 | 9648 | 1.3912 | {'f1': 0.8433121019108281} | {'accuracy': 0.7641418983700863} |
| 0.062 | 73.0 | 9782 | 1.7858 | {'f1': 0.8524173027989821} | {'accuracy': 0.7775647171620326} |
| 0.062 | 74.0 | 9916 | 1.2980 | {'f1': 0.83322601416613} | {'accuracy': 0.7516778523489933} |
| 0.0962 | 75.0 | 10050 | 1.5752 | {'f1': 0.843236409608091} | {'accuracy': 0.7622243528283796} |
| 0.0962 | 76.0 | 10184 | 1.4961 | {'f1': 0.8354922279792747} | {'accuracy': 0.7564717162032598} |
| 0.0962 | 77.0 | 10318 | 1.5174 | {'f1': 0.8443893366398016} | {'accuracy': 0.7593480345158198} |
| 0.0962 | 78.0 | 10452 | 1.3752 | {'f1': 0.8441814595660749} | {'accuracy': 0.7727708533077661} |
| 0.0728 | 79.0 | 10586 | 1.6214 | {'f1': 0.8446163765312701} | {'accuracy': 0.7689357622243528} |
| 0.0728 | 80.0 | 10720 | 1.4817 | {'f1': 0.8468809073724007} | {'accuracy': 0.7670182166826462} |
| 0.0728 | 81.0 | 10854 | 1.3868 | {'f1': 0.8392156862745098} | {'accuracy': 0.7641418983700863} |
| 0.0728 | 82.0 | 10988 | 1.6587 | {'f1': 0.8296199213630406} | {'accuracy': 0.75071907957814} |
| 0.0691 | 83.0 | 11122 | 1.6898 | {'f1': 0.8394113883557262} | {'accuracy': 0.7593480345158198} |
| 0.0691 | 84.0 | 11256 | 1.2099 | {'f1': 0.845859872611465} | {'accuracy': 0.7679769894534996} |
| 0.0691 | 85.0 | 11390 | 1.7845 | {'f1': 0.8376288659793815} | {'accuracy': 0.7583892617449665} |
| 0.0717 | 86.0 | 11524 | 1.7216 | {'f1': 0.841763942931258} | {'accuracy': 0.7660594439117929} |
| 0.0717 | 87.0 | 11658 | 1.0511 | {'f1': 0.8450704225352114} | {'accuracy': 0.7679769894534996} |
| 0.0717 | 88.0 | 11792 | 1.5846 | {'f1': 0.8189300411522633} | {'accuracy': 0.7468839884947267} |
| 0.0717 | 89.0 | 11926 | 1.3847 | {'f1': 0.8397720075997466} | {'accuracy': 0.7574304889741131} |
| 0.0953 | 90.0 | 12060 | 1.0937 | {'f1': 0.8454661558109835} | {'accuracy': 0.7679769894534996} |
| 0.0953 | 91.0 | 12194 | 1.5451 | {'f1': 0.8364099299809039} | {'accuracy': 0.7535953978907} |
| 0.0953 | 92.0 | 12328 | 1.0869 | {'f1': 0.8461538461538461} | {'accuracy': 0.7698945349952061} |
| 0.0953 | 93.0 | 12462 | 1.3386 | {'f1': 0.8494690818238602} | {'accuracy': 0.7689357622243528} |
| 0.0824 | 94.0 | 12596 | 1.6271 | {'f1': 0.8459595959595959} | {'accuracy': 0.7660594439117929} |
| 0.0824 | 95.0 | 12730 | 1.7445 | {'f1': 0.845518118245391} | {'accuracy': 0.7670182166826462} |
| 0.0824 | 96.0 | 12864 | 1.2211 | {'f1': 0.8319273199221285} | {'accuracy': 0.7516778523489933} |
| 0.0824 | 97.0 | 12998 | 1.8955 | {'f1': 0.8391521197007481} | {'accuracy': 0.7526366251198466} |
| 0.0617 | 98.0 | 13132 | 1.5208 | {'f1': 0.8028673835125448} | {'accuracy': 0.7363374880153404} |
| 0.0617 | 99.0 | 13266 | 1.6174 | {'f1': 0.837996096291477} | {'accuracy': 0.7612655800575263} |
| 0.0617 | 100.0 | 13400 | 1.3516 | {'f1': 0.8423739629865986} | {'accuracy': 0.763183125599233} |
| 0.0682 | 101.0 | 13534 | 1.6641 | {'f1': 0.8406169665809768} | {'accuracy': 0.7622243528283796} |
| 0.0682 | 102.0 | 13668 | 1.6767 | {'f1': 0.8393846153846154} | {'accuracy': 0.7497603068072867} |
| 0.0682 | 103.0 | 13802 | 1.7749 | {'f1': 0.833659491193738} | {'accuracy': 0.7555129434324065} |
| 0.0682 | 104.0 | 13936 | 1.8813 | {'f1': 0.8431746031746032} | {'accuracy': 0.763183125599233} |
| 0.0712 | 105.0 | 14070 | 1.3151 | {'f1': 0.8309492847854357} | {'accuracy': 0.75071907957814} |
| 0.0712 | 106.0 | 14204 | 1.4004 | {'f1': 0.8297055057618438} | {'accuracy': 0.7449664429530202} |
| 0.0712 | 107.0 | 14338 | 1.8136 | {'f1': 0.8414634146341464} | {'accuracy': 0.75071907957814} |
| 0.0712 | 108.0 | 14472 | 1.9883 | {'f1': 0.837996096291477} | {'accuracy': 0.7612655800575263} |
| 0.1099 | 109.0 | 14606 | 1.4110 | {'f1': 0.8304542546385157} | {'accuracy': 0.7459252157238735} |
| 0.1099 | 110.0 | 14740 | 1.7478 | {'f1': 0.8366948601171111} | {'accuracy': 0.7593480345158198} |
| 0.1099 | 111.0 | 14874 | 1.5458 | {'f1': 0.8252299605781866} | {'accuracy': 0.7449664429530202} |
| 0.0847 | 112.0 | 15008 | 1.7675 | {'f1': 0.8405612244897959} | {'accuracy': 0.7603068072866731} |
| 0.0847 | 113.0 | 15142 | 1.3122 | {'f1': 0.843710292249047} | {'accuracy': 0.7641418983700863} |
| 0.0847 | 114.0 | 15276 | 1.8780 | {'f1': 0.8404575556893438} | {'accuracy': 0.7459252157238735} |
| 0.0847 | 115.0 | 15410 | 0.9689 | {'f1': 0.8154158215010142} | {'accuracy': 0.738255033557047} |
| 0.0867 | 116.0 | 15544 | 1.2954 | {'f1': 0.8387925497752088} | {'accuracy': 0.7593480345158198} |
| 0.0867 | 117.0 | 15678 | 1.4697 | {'f1': 0.8294679399727147} | {'accuracy': 0.7603068072866731} |
| 0.0867 | 118.0 | 15812 | 1.4716 | {'f1': 0.840378548895899} | {'accuracy': 0.7574304889741131} |
| 0.0867 | 119.0 | 15946 | 1.4724 | {'f1': 0.8437499999999999} | {'accuracy': 0.7603068072866731} |
| 0.1036 | 120.0 | 16080 | 1.7950 | {'f1': 0.8310214375788146} | {'accuracy': 0.7430488974113135} |
| 0.1036 | 121.0 | 16214 | 1.3341 | {'f1': 0.8417037507946599} | {'accuracy': 0.7612655800575263} |
| 0.1036 | 122.0 | 16348 | 1.4197 | {'f1': 0.8329048843187661} | {'accuracy': 0.75071907957814} |
| 0.1036 | 123.0 | 16482 | 1.1559 | {'f1': 0.8446662507797879} | {'accuracy': 0.7612655800575263} |
| 0.0824 | 124.0 | 16616 | 1.3918 | {'f1': 0.8473282442748092} | {'accuracy': 0.7698945349952061} |
| 0.0824 | 125.0 | 16750 | 1.3592 | {'f1': 0.8426596445029625} | {'accuracy': 0.7708533077660594} |
| 0.0824 | 126.0 | 16884 | 1.8414 | {'f1': 0.8442466624284806} | {'accuracy': 0.7651006711409396} |
| 0.095 | 127.0 | 17018 | 1.7007 | {'f1': 0.8419721871049306} | {'accuracy': 0.7603068072866731} |
| 0.095 | 128.0 | 17152 | 1.1419 | {'f1': 0.8473091364205256} | {'accuracy': 0.7660594439117929} |
| 0.095 | 129.0 | 17286 | 1.2746 | {'f1': 0.8411689961880559} | {'accuracy': 0.7603068072866731} |
| 0.095 | 130.0 | 17420 | 1.1815 | {'f1': 0.8414948453608248} | {'accuracy': 0.7641418983700863} |
| 0.0813 | 131.0 | 17554 | 1.2617 | {'f1': 0.8364099299809039} | {'accuracy': 0.7535953978907} |
| 0.0813 | 132.0 | 17688 | 1.6935 | {'f1': 0.8310502283105023} | {'accuracy': 0.7516778523489933} |
| 0.0813 | 133.0 | 17822 | 1.7339 | {'f1': 0.8428303068252975} | {'accuracy': 0.7593480345158198} |
| 0.0813 | 134.0 | 17956 | 1.6638 | {'f1': 0.8322981366459627} | {'accuracy': 0.7411313518696069} |
| 0.0879 | 135.0 | 18090 | 1.3660 | {'f1': 0.8465873512836568} | {'accuracy': 0.7651006711409396} |
| 0.0879 | 136.0 | 18224 | 1.5622 | {'f1': 0.8354591836734695} | {'accuracy': 0.7526366251198466} |
| 0.0879 | 137.0 | 18358 | 1.3949 | {'f1': 0.8413192283758557} | {'accuracy': 0.7555129434324065} |
| 0.0879 | 138.0 | 18492 | 1.2827 | {'f1': 0.8428761651131824} | {'accuracy': 0.7737296260786194} |
| 0.0928 | 139.0 | 18626 | 1.4226 | {'f1': 0.8487500000000001} | {'accuracy': 0.7679769894534996} |
| 0.0928 | 140.0 | 18760 | 1.1919 | {'f1': 0.8451827242524917} | {'accuracy': 0.7766059443911792} |
| 0.0928 | 141.0 | 18894 | 1.7349 | {'f1': 0.8369704749679076} | {'accuracy': 0.7564717162032598} |
| 0.0816 | 142.0 | 19028 | 1.6732 | {'f1': 0.8366688185926405} | {'accuracy': 0.7574304889741131} |
| 0.0816 | 143.0 | 19162 | 1.4858 | {'f1': 0.8400770712909442} | {'accuracy': 0.7612655800575263} |
| 0.0816 | 144.0 | 19296 | 1.4609 | {'f1': 0.8442466624284806} | {'accuracy': 0.7651006711409396} |
| 0.0816 | 145.0 | 19430 | 1.9109 | {'f1': 0.8375855631611699} | {'accuracy': 0.7497603068072867} |
| 0.0646 | 146.0 | 19564 | 1.7140 | {'f1': 0.8396946564885497} | {'accuracy': 0.7583892617449665} |
| 0.0646 | 147.0 | 19698 | 1.5369 | {'f1': 0.8350125944584383} | {'accuracy': 0.7488015340364333} |
| 0.0646 | 148.0 | 19832 | 1.6238 | {'f1': 0.8409805153991201} | {'accuracy': 0.7574304889741131} |
| 0.0646 | 149.0 | 19966 | 1.6906 | {'f1': 0.8424356559949779} | {'accuracy': 0.7593480345158198} |
| 0.0733 | 150.0 | 20100 | 1.2963 | {'f1': 0.8404868673926971} | {'accuracy': 0.7612655800575263} |
| 0.0733 | 151.0 | 20234 | 1.5331 | {'f1': 0.8423101881894873} | {'accuracy': 0.7670182166826462} |
| 0.0733 | 152.0 | 20368 | 1.5936 | {'f1': 0.8460543337645536} | {'accuracy': 0.7718120805369127} |
| 0.0762 | 153.0 | 20502 | 1.3027 | {'f1': 0.8374446552814674} | {'accuracy': 0.7535953978907} |
| 0.0762 | 154.0 | 20636 | 1.6002 | {'f1': 0.8361290322580646} | {'accuracy': 0.7564717162032598} |
| 0.0762 | 155.0 | 20770 | 1.5522 | {'f1': 0.8452305748578648} | {'accuracy': 0.7651006711409396} |
| 0.0762 | 156.0 | 20904 | 1.1634 | {'f1': 0.8369070825211176} | {'accuracy': 0.7593480345158198} |
| 0.0721 | 157.0 | 21038 | 1.5677 | {'f1': 0.8461043142305216} | {'accuracy': 0.7708533077660594} |
| 0.0721 | 158.0 | 21172 | 1.5015 | {'f1': 0.8343004513217279} | {'accuracy': 0.7535953978907} |
| 0.0721 | 159.0 | 21306 | 1.1360 | {'f1': 0.8413615928066794} | {'accuracy': 0.763183125599233} |
| 0.0721 | 160.0 | 21440 | 1.1307 | {'f1': 0.8612191958495461} | {'accuracy': 0.7948226270373921} |
| 0.1028 | 161.0 | 21574 | 1.3523 | {'f1': 0.8533668974197608} | {'accuracy': 0.7766059443911792} |
| 0.1028 | 162.0 | 21708 | 1.6406 | {'f1': 0.8515723270440252} | {'accuracy': 0.7737296260786194} |
| 0.1028 | 163.0 | 21842 | 1.5092 | {'f1': 0.8451776649746193} | {'accuracy': 0.7660594439117929} |
| 0.1028 | 164.0 | 21976 | 1.3951 | {'f1': 0.8247978436657681} | {'accuracy': 0.75071907957814} |
| 0.0778 | 165.0 | 22110 | 1.6070 | {'f1': 0.8513082322910018} | {'accuracy': 0.7766059443911792} |
| 0.0778 | 166.0 | 22244 | 1.4910 | {'f1': 0.8391699092088196} | {'accuracy': 0.7622243528283796} |
| 0.0778 | 167.0 | 22378 | 1.5710 | {'f1': 0.8483322844556324} | {'accuracy': 0.7689357622243528} |
| 0.0615 | 168.0 | 22512 | 1.5610 | {'f1': 0.8498402555910542} | {'accuracy': 0.7746883988494727} |
| 0.0615 | 169.0 | 22646 | 1.6148 | {'f1': 0.8490920475892298} | {'accuracy': 0.7689357622243528} |
| 0.0615 | 170.0 | 22780 | 1.3437 | {'f1': 0.851063829787234} | {'accuracy': 0.7718120805369127} |
| 0.0615 | 171.0 | 22914 | 1.3340 | {'f1': 0.8407894736842105} | {'accuracy': 0.7679769894534996} |
| 0.0752 | 172.0 | 23048 | 1.0684 | {'f1': 0.8533834586466166} | {'accuracy': 0.775647171620326} |
| 0.0752 | 173.0 | 23182 | 1.4575 | {'f1': 0.8423676012461059} | {'accuracy': 0.7574304889741131} |
| 0.0752 | 174.0 | 23316 | 1.6067 | {'f1': 0.841640378548896} | {'accuracy': 0.7593480345158198} |
| 0.0752 | 175.0 | 23450 | 1.8544 | {'f1': 0.8419139915202907} | {'accuracy': 0.7497603068072867} |
| 0.0948 | 176.0 | 23584 | 1.5140 | {'f1': 0.843710292249047} | {'accuracy': 0.7641418983700863} |
| 0.0948 | 177.0 | 23718 | 1.1311 | {'f1': 0.8468930172966047} | {'accuracy': 0.7708533077660594} |
| 0.0948 | 178.0 | 23852 | 1.6526 | {'f1': 0.8356687898089172} | {'accuracy': 0.7526366251198466} |
| 0.0948 | 179.0 | 23986 | 1.2598 | {'f1': 0.8428479794740218} | {'accuracy': 0.7651006711409396} |
| 0.0942 | 180.0 | 24120 | 1.7390 | {'f1': 0.8442272449602932} | {'accuracy': 0.7555129434324065} |
| 0.0942 | 181.0 | 24254 | 1.3618 | {'f1': 0.8438320209973753} | {'accuracy': 0.7718120805369127} |
| 0.0942 | 182.0 | 24388 | 1.7613 | {'f1': 0.8452088452088452} | {'accuracy': 0.7583892617449665} |
| 0.0749 | 183.0 | 24522 | 1.4414 | {'f1': 0.8555417185554172} | {'accuracy': 0.7775647171620326} |
| 0.0749 | 184.0 | 24656 | 1.4834 | {'f1': 0.8499073502161828} | {'accuracy': 0.7670182166826462} |
| 0.0749 | 185.0 | 24790 | 1.6461 | {'f1': 0.8462021343377276} | {'accuracy': 0.7651006711409396} |
| 0.0749 | 186.0 | 24924 | 1.5138 | {'f1': 0.8466790813159528} | {'accuracy': 0.763183125599233} |
| 0.0657 | 187.0 | 25058 | 1.2023 | {'f1': 0.847247990105133} | {'accuracy': 0.763183125599233} |
| 0.0657 | 188.0 | 25192 | 1.3747 | {'f1': 0.8232931726907631} | {'accuracy': 0.7468839884947267} |
| 0.0657 | 189.0 | 25326 | 1.7162 | {'f1': 0.8432835820895522} | {'accuracy': 0.7583892617449665} |
| 0.0657 | 190.0 | 25460 | 1.7436 | {'f1': 0.8422408242112042} | {'accuracy': 0.7651006711409396} |
| 0.0928 | 191.0 | 25594 | 1.3170 | {'f1': 0.8451612903225808} | {'accuracy': 0.7698945349952061} |
| 0.0928 | 192.0 | 25728 | 1.6950 | {'f1': 0.8312375909993381} | {'accuracy': 0.7555129434324065} |
| 0.0928 | 193.0 | 25862 | 1.5699 | {'f1': 0.852336448598131} | {'accuracy': 0.7727708533077661} |
| 0.0928 | 194.0 | 25996 | 1.4407 | {'f1': 0.8317089018843405} | {'accuracy': 0.7516778523489933} |
| 0.0761 | 195.0 | 26130 | 1.4899 | {'f1': 0.8402061855670104} | {'accuracy': 0.7622243528283796} |
| 0.0761 | 196.0 | 26264 | 1.5314 | {'f1': 0.8403157255616271} | {'accuracy': 0.74784276126558} |
| 0.0761 | 197.0 | 26398 | 1.2967 | {'f1': 0.8420382165605096} | {'accuracy': 0.7622243528283796} |
| 0.0668 | 198.0 | 26532 | 1.6689 | {'f1': 0.8467336683417086} | {'accuracy': 0.7660594439117929} |
| 0.0668 | 199.0 | 26666 | 1.8314 | {'f1': 0.8433268858800773} | {'accuracy': 0.7670182166826462} |
| 0.0668 | 200.0 | 26800 | 2.0910 | {'f1': 0.8334373050530256} | {'accuracy': 0.7440076701821668} |
| 0.0668 | 201.0 | 26934 | 1.7489 | {'f1': 0.8321633694958519} | {'accuracy': 0.74784276126558} |
| 0.0725 | 202.0 | 27068 | 1.0799 | {'f1': 0.8268229166666667} | {'accuracy': 0.7449664429530202} |
| 0.0725 | 203.0 | 27202 | 1.5898 | {'f1': 0.8197596795727636} | {'accuracy': 0.7411313518696069} |
| 0.0725 | 204.0 | 27336 | 1.4955 | {'f1': 0.8324607329842932} | {'accuracy': 0.7545541706615532} |
| 0.0725 | 205.0 | 27470 | 1.6920 | {'f1': 0.8315041962556489} | {'accuracy': 0.7497603068072867} |
| 0.0794 | 206.0 | 27604 | 1.8251 | {'f1': 0.8438871473354232} | {'accuracy': 0.7612655800575263} |
| 0.0794 | 207.0 | 27738 | 1.7280 | {'f1': 0.8366834170854272} | {'accuracy': 0.75071907957814} |
| 0.0794 | 208.0 | 27872 | 1.8114 | {'f1': 0.8318471337579618} | {'accuracy': 0.7468839884947267} |
| 0.0768 | 209.0 | 28006 | 1.2941 | {'f1': 0.8392745465916197} | {'accuracy': 0.7535953978907} |
| 0.0768 | 210.0 | 28140 | 1.6627 | {'f1': 0.8407960199004975} | {'accuracy': 0.7545541706615532} |
| 0.0768 | 211.0 | 28274 | 1.3404 | {'f1': 0.8352387357094821} | {'accuracy': 0.7651006711409396} |
| 0.0768 | 212.0 | 28408 | 1.6655 | {'f1': 0.8303068252974327} | {'accuracy': 0.7401725790987536} |
| 0.0957 | 213.0 | 28542 | 1.3915 | {'f1': 0.8432501599488165} | {'accuracy': 0.7651006711409396} |
| 0.0957 | 214.0 | 28676 | 1.3848 | {'f1': 0.8385053831538949} | {'accuracy': 0.7555129434324065} |
| 0.0957 | 215.0 | 28810 | 1.9960 | {'f1': 0.8334373050530256} | {'accuracy': 0.7440076701821668} |
| 0.0957 | 216.0 | 28944 | 1.8212 | {'f1': 0.8321981424148608} | {'accuracy': 0.7401725790987536} |
| 0.0795 | 217.0 | 29078 | 1.5493 | {'f1': 0.842040565457898} | {'accuracy': 0.7535953978907} |
| 0.0795 | 218.0 | 29212 | 1.6638 | {'f1': 0.8346749226006193} | {'accuracy': 0.7440076701821668} |
| 0.0795 | 219.0 | 29346 | 1.6052 | {'f1': 0.8367989918084436} | {'accuracy': 0.7516778523489933} |
| 0.0795 | 220.0 | 29480 | 1.2129 | {'f1': 0.8334439283344393} | {'accuracy': 0.7593480345158198} |
| 0.0958 | 221.0 | 29614 | 1.4496 | {'f1': 0.8351507376523413} | {'accuracy': 0.7535953978907} |
| 0.0958 | 222.0 | 29748 | 1.4079 | {'f1': 0.8399222294232017} | {'accuracy': 0.763183125599233} |
| 0.0958 | 223.0 | 29882 | 1.6295 | {'f1': 0.8373531230674086} | {'accuracy': 0.74784276126558} |
| 0.0718 | 224.0 | 30016 | 1.4081 | {'f1': 0.843236409608091} | {'accuracy': 0.7622243528283796} |
| 0.0718 | 225.0 | 30150 | 1.9464 | {'f1': 0.8405438813349814} | {'accuracy': 0.7526366251198466} |
| 0.0718 | 226.0 | 30284 | 1.2621 | {'f1': 0.8345514950166112} | {'accuracy': 0.7612655800575263} |
| 0.0718 | 227.0 | 30418 | 1.7916 | {'f1': 0.841640378548896} | {'accuracy': 0.7593480345158198} |
| 0.0567 | 228.0 | 30552 | 1.5602 | {'f1': 0.8486352357320098} | {'accuracy': 0.7660594439117929} |
| 0.0567 | 229.0 | 30686 | 1.9275 | {'f1': 0.8396651641983257} | {'accuracy': 0.7612655800575263} |
| 0.0567 | 230.0 | 30820 | 1.6460 | {'f1': 0.8389993585631816} | {'accuracy': 0.7593480345158198} |
| 0.0567 | 231.0 | 30954 | 1.8271 | {'f1': 0.8315041962556489} | {'accuracy': 0.7497603068072867} |
| 0.0553 | 232.0 | 31088 | 1.2234 | {'f1': 0.8391608391608393} | {'accuracy': 0.7574304889741131} |
| 0.0553 | 233.0 | 31222 | 1.6015 | {'f1': 0.8351063829787234} | {'accuracy': 0.7622243528283796} |
| 0.0553 | 234.0 | 31356 | 1.7432 | {'f1': 0.8393077873918418} | {'accuracy': 0.75071907957814} |
| 0.0553 | 235.0 | 31490 | 1.7301 | {'f1': 0.8393524283935242} | {'accuracy': 0.7526366251198466} |
| 0.0767 | 236.0 | 31624 | 1.8146 | {'f1': 0.8261437908496732} | {'accuracy': 0.7449664429530202} |
| 0.0767 | 237.0 | 31758 | 1.9732 | {'f1': 0.8441396508728181} | {'accuracy': 0.7603068072866731} |
| 0.0767 | 238.0 | 31892 | 1.7092 | {'f1': 0.8281053952321205} | {'accuracy': 0.7372962607861937} |
| 0.0641 | 239.0 | 32026 | 1.8727 | {'f1': 0.8240802675585284} | {'accuracy': 0.74784276126558} |
| 0.0641 | 240.0 | 32160 | 1.9378 | {'f1': 0.8442776735459662} | {'accuracy': 0.7612655800575263} |
| 0.0641 | 241.0 | 32294 | 1.6189 | {'f1': 0.839073262366938} | {'accuracy': 0.7535953978907} |
| 0.0641 | 242.0 | 32428 | 1.6819 | {'f1': 0.838909541511772} | {'accuracy': 0.75071907957814} |
| 0.0714 | 243.0 | 32562 | 1.8463 | {'f1': 0.8413284132841329} | {'accuracy': 0.7526366251198466} |
| 0.0714 | 244.0 | 32696 | 1.9473 | {'f1': 0.8405253283302063} | {'accuracy': 0.7555129434324065} |
| 0.0714 | 245.0 | 32830 | 2.0582 | {'f1': 0.8290816326530612} | {'accuracy': 0.7430488974113135} |
| 0.0714 | 246.0 | 32964 | 1.7703 | {'f1': 0.800557880055788} | {'accuracy': 0.725790987535954} |
| 0.0642 | 247.0 | 33098 | 1.9499 | {'f1': 0.8251748251748251} | {'accuracy': 0.7363374880153404} |
| 0.0642 | 248.0 | 33232 | 1.9310 | {'f1': 0.8342575477510783} | {'accuracy': 0.7420901246404602} |
| 0.0642 | 249.0 | 33366 | 1.9989 | {'f1': 0.8387909319899244} | {'accuracy': 0.7545541706615532} |
| 0.0684 | 250.0 | 33500 | 1.5470 | {'f1': 0.8264781491002571} | {'accuracy': 0.7411313518696069} |
| 0.0684 | 251.0 | 33634 | 1.6231 | {'f1': 0.8179347826086956} | {'accuracy': 0.7430488974113135} |
| 0.0684 | 252.0 | 33768 | 2.0127 | {'f1': 0.8352868599629859} | {'accuracy': 0.7440076701821668} |
| 0.0684 | 253.0 | 33902 | 1.9169 | {'f1': 0.8316831683168315} | {'accuracy': 0.7392138063279002} |
| 0.0626 | 254.0 | 34036 | 1.9991 | {'f1': 0.8334373050530256} | {'accuracy': 0.7440076701821668} |
| 0.0626 | 255.0 | 34170 | 1.6814 | {'f1': 0.8391437308868501} | {'accuracy': 0.74784276126558} |
| 0.0626 | 256.0 | 34304 | 2.0308 | {'f1': 0.8311362209667295} | {'accuracy': 0.7420901246404602} |
| 0.0626 | 257.0 | 34438 | 1.7003 | {'f1': 0.8277602523659306} | {'accuracy': 0.738255033557047} |
| 0.0974 | 258.0 | 34572 | 1.7315 | {'f1': 0.8293316028552888} | {'accuracy': 0.74784276126558} |
| 0.0974 | 259.0 | 34706 | 1.5954 | {'f1': 0.8239747634069401} | {'accuracy': 0.7325023969319271} |
| 0.0974 | 260.0 | 34840 | 1.7203 | {'f1': 0.8398533007334964} | {'accuracy': 0.7488015340364333} |
| 0.0974 | 261.0 | 34974 | 1.5608 | {'f1': 0.8321633694958519} | {'accuracy': 0.74784276126558} |
| 0.0734 | 262.0 | 35108 | 2.1204 | {'f1': 0.8257339163023111} | {'accuracy': 0.7325023969319271} |
| 0.0734 | 263.0 | 35242 | 1.6430 | {'f1': 0.8362944162436549} | {'accuracy': 0.7526366251198466} |
| 0.0734 | 264.0 | 35376 | 2.0931 | {'f1': 0.832920792079208} | {'accuracy': 0.7411313518696069} |
| 0.0642 | 265.0 | 35510 | 1.5789 | {'f1': 0.8217757615035645} | {'accuracy': 0.7363374880153404} |
| 0.0642 | 266.0 | 35644 | 1.7629 | {'f1': 0.83125} | {'accuracy': 0.7411313518696069} |
| 0.0642 | 267.0 | 35778 | 1.2743 | {'f1': 0.8285163776493256} | {'accuracy': 0.7440076701821668} |
| 0.0642 | 268.0 | 35912 | 1.6117 | {'f1': 0.822997416020672} | {'accuracy': 0.7372962607861937} |
| 0.0899 | 269.0 | 36046 | 1.8991 | {'f1': 0.828270303781773} | {'accuracy': 0.7344199424736337} |
| 0.0899 | 270.0 | 36180 | 2.1050 | {'f1': 0.8265107212475635} | {'accuracy': 0.7440076701821668} |
| 0.0899 | 271.0 | 36314 | 1.8818 | {'f1': 0.841300191204589} | {'accuracy': 0.7612655800575263} |
| 0.0899 | 272.0 | 36448 | 2.0390 | {'f1': 0.8297872340425533} | {'accuracy': 0.7392138063279002} |
| 0.0522 | 273.0 | 36582 | 1.7460 | {'f1': 0.8263395739186572} | {'accuracy': 0.7420901246404602} |
| 0.0522 | 274.0 | 36716 | 1.8015 | {'f1': 0.8336402701043584} | {'accuracy': 0.7401725790987536} |
| 0.0522 | 275.0 | 36850 | 1.9502 | {'f1': 0.833743842364532} | {'accuracy': 0.7411313518696069} |
| 0.0522 | 276.0 | 36984 | 2.0488 | {'f1': 0.8388278388278388} | {'accuracy': 0.7468839884947267} |
| 0.0778 | 277.0 | 37118 | 2.0336 | {'f1': 0.8361370716510904} | {'accuracy': 0.74784276126558} |
| 0.0778 | 278.0 | 37252 | 2.0586 | {'f1': 0.834445118253487} | {'accuracy': 0.738255033557047} |
| 0.0778 | 279.0 | 37386 | 1.1593 | {'f1': 0.8430160692212608} | {'accuracy': 0.7564717162032598} |
| 0.077 | 280.0 | 37520 | 2.1335 | {'f1': 0.8317815021725636} | {'accuracy': 0.7401725790987536} |
| 0.077 | 281.0 | 37654 | 0.6312 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.077 | 282.0 | 37788 | 0.6185 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.077 | 283.0 | 37922 | 0.6788 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5214 | 284.0 | 38056 | 0.7291 | {'f1': 0.0} | {'accuracy': 0.3087248322147651} |
| 0.5214 | 285.0 | 38190 | 0.6262 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5214 | 286.0 | 38324 | 0.6239 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5214 | 287.0 | 38458 | 0.6283 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6281 | 288.0 | 38592 | 0.6422 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6281 | 289.0 | 38726 | 0.6264 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6281 | 290.0 | 38860 | 0.6202 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6281 | 291.0 | 38994 | 0.6198 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6239 | 292.0 | 39128 | 0.6201 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6239 | 293.0 | 39262 | 0.6239 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6239 | 294.0 | 39396 | 0.6197 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6222 | 295.0 | 39530 | 0.6185 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6222 | 296.0 | 39664 | 0.6258 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6222 | 297.0 | 39798 | 0.6279 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6222 | 298.0 | 39932 | 0.6284 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6213 | 299.0 | 40066 | 0.6301 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6213 | 300.0 | 40200 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6213 | 301.0 | 40334 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6213 | 302.0 | 40468 | 0.6221 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6241 | 303.0 | 40602 | 0.6204 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6241 | 304.0 | 40736 | 0.6196 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6241 | 305.0 | 40870 | 0.6186 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6206 | 306.0 | 41004 | 0.6197 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6206 | 307.0 | 41138 | 0.6194 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6206 | 308.0 | 41272 | 0.6455 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6206 | 309.0 | 41406 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6196 | 310.0 | 41540 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6196 | 311.0 | 41674 | 0.6209 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6196 | 312.0 | 41808 | 0.6192 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6196 | 313.0 | 41942 | 0.6184 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6222 | 314.0 | 42076 | 0.6366 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6222 | 315.0 | 42210 | 0.6185 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6222 | 316.0 | 42344 | 0.6405 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6222 | 317.0 | 42478 | 0.6187 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6201 | 318.0 | 42612 | 0.6243 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6201 | 319.0 | 42746 | 0.6227 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6201 | 320.0 | 42880 | 0.6257 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6227 | 321.0 | 43014 | 0.6287 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6227 | 322.0 | 43148 | 0.6227 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6227 | 323.0 | 43282 | 0.6189 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6227 | 324.0 | 43416 | 0.6182 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6184 | 325.0 | 43550 | 0.6183 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6184 | 326.0 | 43684 | 0.6216 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6184 | 327.0 | 43818 | 0.6198 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6184 | 328.0 | 43952 | 0.6262 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6224 | 329.0 | 44086 | 0.6188 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6224 | 330.0 | 44220 | 0.6188 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6224 | 331.0 | 44354 | 0.6200 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6224 | 332.0 | 44488 | 0.6413 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6194 | 333.0 | 44622 | 0.6228 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6194 | 334.0 | 44756 | 0.6190 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6194 | 335.0 | 44890 | 0.6258 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6203 | 336.0 | 45024 | 0.6228 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6203 | 337.0 | 45158 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6203 | 338.0 | 45292 | 0.6196 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6203 | 339.0 | 45426 | 0.6182 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6209 | 340.0 | 45560 | 0.6183 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6209 | 341.0 | 45694 | 0.6185 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6209 | 342.0 | 45828 | 0.6207 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6209 | 343.0 | 45962 | 0.6183 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6191 | 344.0 | 46096 | 0.6329 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6191 | 345.0 | 46230 | 0.6193 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6191 | 346.0 | 46364 | 0.6183 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6191 | 347.0 | 46498 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6192 | 348.0 | 46632 | 0.6232 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6192 | 349.0 | 46766 | 0.6252 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6192 | 350.0 | 46900 | 0.6524 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6226 | 351.0 | 47034 | 0.6212 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6226 | 352.0 | 47168 | 0.6202 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6226 | 353.0 | 47302 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6226 | 354.0 | 47436 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6196 | 355.0 | 47570 | 0.6333 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6196 | 356.0 | 47704 | 0.6301 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6196 | 357.0 | 47838 | 0.6198 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6196 | 358.0 | 47972 | 0.6231 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6219 | 359.0 | 48106 | 0.6388 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6219 | 360.0 | 48240 | 0.6196 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6219 | 361.0 | 48374 | 0.6182 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.619 | 362.0 | 48508 | 0.6228 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.619 | 363.0 | 48642 | 0.6245 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.619 | 364.0 | 48776 | 0.6382 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.619 | 365.0 | 48910 | 0.6291 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6198 | 366.0 | 49044 | 0.6239 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6198 | 367.0 | 49178 | 0.6196 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6198 | 368.0 | 49312 | 0.6185 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6198 | 369.0 | 49446 | 0.6183 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6197 | 370.0 | 49580 | 0.6246 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6197 | 371.0 | 49714 | 0.6244 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6197 | 372.0 | 49848 | 0.6215 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6197 | 373.0 | 49982 | 0.6183 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6198 | 374.0 | 50116 | 0.6201 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6198 | 375.0 | 50250 | 0.6184 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6198 | 376.0 | 50384 | 0.6249 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6201 | 377.0 | 50518 | 0.6185 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6201 | 378.0 | 50652 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6201 | 379.0 | 50786 | 0.6183 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6201 | 380.0 | 50920 | 0.6220 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6204 | 381.0 | 51054 | 0.6207 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6204 | 382.0 | 51188 | 0.6363 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6204 | 383.0 | 51322 | 0.6186 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6204 | 384.0 | 51456 | 0.6229 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6228 | 385.0 | 51590 | 0.6290 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6228 | 386.0 | 51724 | 0.6375 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6228 | 387.0 | 51858 | 0.6211 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6228 | 388.0 | 51992 | 0.6182 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6208 | 389.0 | 52126 | 0.6219 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6208 | 390.0 | 52260 | 0.6187 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6208 | 391.0 | 52394 | 0.6426 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6206 | 392.0 | 52528 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6206 | 393.0 | 52662 | 0.6189 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6206 | 394.0 | 52796 | 0.6272 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6206 | 395.0 | 52930 | 0.6185 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6202 | 396.0 | 53064 | 0.6315 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6202 | 397.0 | 53198 | 0.6194 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6202 | 398.0 | 53332 | 0.6226 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6202 | 399.0 | 53466 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6218 | 400.0 | 53600 | 0.6329 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6218 | 401.0 | 53734 | 0.6196 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6218 | 402.0 | 53868 | 0.6182 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6191 | 403.0 | 54002 | 0.6185 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6191 | 404.0 | 54136 | 0.6251 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6191 | 405.0 | 54270 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6191 | 406.0 | 54404 | 0.6188 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6223 | 407.0 | 54538 | 0.6212 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6223 | 408.0 | 54672 | 0.6237 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6223 | 409.0 | 54806 | 0.6254 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6223 | 410.0 | 54940 | 0.6188 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6177 | 411.0 | 55074 | 0.6200 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6177 | 412.0 | 55208 | 0.6182 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6177 | 413.0 | 55342 | 0.6207 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6177 | 414.0 | 55476 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6206 | 415.0 | 55610 | 0.6284 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6206 | 416.0 | 55744 | 0.6341 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6206 | 417.0 | 55878 | 0.6194 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6198 | 418.0 | 56012 | 0.6202 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6198 | 419.0 | 56146 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6198 | 420.0 | 56280 | 0.6216 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6198 | 421.0 | 56414 | 0.6192 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6207 | 422.0 | 56548 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6207 | 423.0 | 56682 | 0.6217 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6207 | 424.0 | 56816 | 0.6233 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6207 | 425.0 | 56950 | 0.6190 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6197 | 426.0 | 57084 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6197 | 427.0 | 57218 | 0.6185 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6197 | 428.0 | 57352 | 0.6465 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6197 | 429.0 | 57486 | 0.6272 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6202 | 430.0 | 57620 | 0.6235 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6202 | 431.0 | 57754 | 0.6189 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6202 | 432.0 | 57888 | 0.6183 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6184 | 433.0 | 58022 | 0.6292 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6184 | 434.0 | 58156 | 0.6471 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6184 | 435.0 | 58290 | 0.6238 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6184 | 436.0 | 58424 | 0.6247 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6214 | 437.0 | 58558 | 0.6187 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6214 | 438.0 | 58692 | 0.6339 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6214 | 439.0 | 58826 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6214 | 440.0 | 58960 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6177 | 441.0 | 59094 | 0.6201 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6177 | 442.0 | 59228 | 0.6219 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6177 | 443.0 | 59362 | 0.6189 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6177 | 444.0 | 59496 | 0.6194 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6183 | 445.0 | 59630 | 0.6193 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6183 | 446.0 | 59764 | 0.6277 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6183 | 447.0 | 59898 | 0.6212 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6199 | 448.0 | 60032 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6199 | 449.0 | 60166 | 0.6294 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6199 | 450.0 | 60300 | 0.6357 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6199 | 451.0 | 60434 | 0.6512 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6205 | 452.0 | 60568 | 0.6185 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6205 | 453.0 | 60702 | 0.6227 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6205 | 454.0 | 60836 | 0.6191 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6205 | 455.0 | 60970 | 0.6184 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.621 | 456.0 | 61104 | 0.6184 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.621 | 457.0 | 61238 | 0.6188 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.621 | 458.0 | 61372 | 0.6347 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6205 | 459.0 | 61506 | 0.6187 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6205 | 460.0 | 61640 | 0.6243 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6205 | 461.0 | 61774 | 0.6235 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6205 | 462.0 | 61908 | 0.6201 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6197 | 463.0 | 62042 | 0.6257 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6197 | 464.0 | 62176 | 0.6251 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6197 | 465.0 | 62310 | 0.6184 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6197 | 466.0 | 62444 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6204 | 467.0 | 62578 | 0.6185 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6204 | 468.0 | 62712 | 0.6186 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6204 | 469.0 | 62846 | 0.6222 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6204 | 470.0 | 62980 | 0.6205 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6213 | 471.0 | 63114 | 0.6396 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6213 | 472.0 | 63248 | 0.6187 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6213 | 473.0 | 63382 | 0.6188 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6182 | 474.0 | 63516 | 0.6270 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6182 | 475.0 | 63650 | 0.6271 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6182 | 476.0 | 63784 | 0.6186 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6182 | 477.0 | 63918 | 0.6186 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6194 | 478.0 | 64052 | 0.6184 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6194 | 479.0 | 64186 | 0.6185 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6194 | 480.0 | 64320 | 0.6206 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6194 | 481.0 | 64454 | 0.6255 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159 | 482.0 | 64588 | 0.6184 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159 | 483.0 | 64722 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159 | 484.0 | 64856 | 0.6187 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159 | 485.0 | 64990 | 0.6197 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6205 | 486.0 | 65124 | 0.6210 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6205 | 487.0 | 65258 | 0.6185 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6205 | 488.0 | 65392 | 0.6194 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6174 | 489.0 | 65526 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6174 | 490.0 | 65660 | 0.6187 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6174 | 491.0 | 65794 | 0.6191 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6174 | 492.0 | 65928 | 0.6183 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6228 | 493.0 | 66062 | 0.6189 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6228 | 494.0 | 66196 | 0.6248 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6228 | 495.0 | 66330 | 0.6198 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6228 | 496.0 | 66464 | 0.6191 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167 | 497.0 | 66598 | 0.6215 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167 | 498.0 | 66732 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167 | 499.0 | 66866 | 0.6187 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6191 | 500.0 | 67000 | 0.6205 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6191 | 501.0 | 67134 | 0.6184 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6191 | 502.0 | 67268 | 0.6189 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6191 | 503.0 | 67402 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6175 | 504.0 | 67536 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6175 | 505.0 | 67670 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6175 | 506.0 | 67804 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6175 | 507.0 | 67938 | 0.6224 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6195 | 508.0 | 68072 | 0.6186 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6195 | 509.0 | 68206 | 0.6261 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6195 | 510.0 | 68340 | 0.6185 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6195 | 511.0 | 68474 | 0.6182 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6193 | 512.0 | 68608 | 0.6183 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6193 | 513.0 | 68742 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6193 | 514.0 | 68876 | 0.6184 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6202 | 515.0 | 69010 | 0.6210 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6202 | 516.0 | 69144 | 0.6184 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6202 | 517.0 | 69278 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6202 | 518.0 | 69412 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6166 | 519.0 | 69546 | 0.6230 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6166 | 520.0 | 69680 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6166 | 521.0 | 69814 | 0.6211 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6166 | 522.0 | 69948 | 0.6185 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6192 | 523.0 | 70082 | 0.6217 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6192 | 524.0 | 70216 | 0.6186 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6192 | 525.0 | 70350 | 0.6277 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6192 | 526.0 | 70484 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6216 | 527.0 | 70618 | 0.6193 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6216 | 528.0 | 70752 | 0.6195 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6216 | 529.0 | 70886 | 0.6280 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176 | 530.0 | 71020 | 0.6200 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176 | 531.0 | 71154 | 0.6192 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176 | 532.0 | 71288 | 0.6182 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176 | 533.0 | 71422 | 0.6188 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6162 | 534.0 | 71556 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6162 | 535.0 | 71690 | 0.6193 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6162 | 536.0 | 71824 | 0.6256 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6162 | 537.0 | 71958 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6209 | 538.0 | 72092 | 0.6212 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6209 | 539.0 | 72226 | 0.6202 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6209 | 540.0 | 72360 | 0.6182 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6209 | 541.0 | 72494 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6184 | 542.0 | 72628 | 0.6225 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6184 | 543.0 | 72762 | 0.6259 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6184 | 544.0 | 72896 | 0.6235 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6192 | 545.0 | 73030 | 0.6187 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6192 | 546.0 | 73164 | 0.6183 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6192 | 547.0 | 73298 | 0.6201 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6192 | 548.0 | 73432 | 0.6197 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6187 | 549.0 | 73566 | 0.6198 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6187 | 550.0 | 73700 | 0.6246 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6187 | 551.0 | 73834 | 0.6199 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6187 | 552.0 | 73968 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6184 | 553.0 | 74102 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6184 | 554.0 | 74236 | 0.6183 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6184 | 555.0 | 74370 | 0.6185 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6178 | 556.0 | 74504 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6178 | 557.0 | 74638 | 0.6198 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6178 | 558.0 | 74772 | 0.6216 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6178 | 559.0 | 74906 | 0.6276 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6201 | 560.0 | 75040 | 0.6182 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6201 | 561.0 | 75174 | 0.6190 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6201 | 562.0 | 75308 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6201 | 563.0 | 75442 | 0.6188 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.62 | 564.0 | 75576 | 0.6188 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.62 | 565.0 | 75710 | 0.6227 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.62 | 566.0 | 75844 | 0.6316 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.62 | 567.0 | 75978 | 0.6199 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6189 | 568.0 | 76112 | 0.6183 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6189 | 569.0 | 76246 | 0.6253 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6189 | 570.0 | 76380 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176 | 571.0 | 76514 | 0.6214 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176 | 572.0 | 76648 | 0.6206 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176 | 573.0 | 76782 | 0.6189 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176 | 574.0 | 76916 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6187 | 575.0 | 77050 | 0.6292 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6187 | 576.0 | 77184 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6187 | 577.0 | 77318 | 0.6185 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6187 | 578.0 | 77452 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.618 | 579.0 | 77586 | 0.6187 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.618 | 580.0 | 77720 | 0.6198 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.618 | 581.0 | 77854 | 0.6188 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.618 | 582.0 | 77988 | 0.6184 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.615 | 583.0 | 78122 | 0.6208 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.615 | 584.0 | 78256 | 0.6253 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.615 | 585.0 | 78390 | 0.6183 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6186 | 586.0 | 78524 | 0.6248 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6186 | 587.0 | 78658 | 0.6196 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6186 | 588.0 | 78792 | 0.6366 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6186 | 589.0 | 78926 | 0.6237 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159 | 590.0 | 79060 | 0.6209 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159 | 591.0 | 79194 | 0.6238 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159 | 592.0 | 79328 | 0.6184 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159 | 593.0 | 79462 | 0.6186 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6178 | 594.0 | 79596 | 0.6186 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6178 | 595.0 | 79730 | 0.6186 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6178 | 596.0 | 79864 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6178 | 597.0 | 79998 | 0.6205 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6181 | 598.0 | 80132 | 0.6185 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6181 | 599.0 | 80266 | 0.6205 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6181 | 600.0 | 80400 | 0.6274 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6182 | 601.0 | 80534 | 0.6183 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6182 | 602.0 | 80668 | 0.6186 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6182 | 603.0 | 80802 | 0.6184 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6182 | 604.0 | 80936 | 0.6206 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173 | 605.0 | 81070 | 0.6191 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173 | 606.0 | 81204 | 0.6184 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173 | 607.0 | 81338 | 0.6184 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173 | 608.0 | 81472 | 0.6197 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6183 | 609.0 | 81606 | 0.6197 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6183 | 610.0 | 81740 | 0.6214 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6183 | 611.0 | 81874 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6191 | 612.0 | 82008 | 0.6284 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6191 | 613.0 | 82142 | 0.6323 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6191 | 614.0 | 82276 | 0.6189 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6191 | 615.0 | 82410 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.618 | 616.0 | 82544 | 0.6185 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.618 | 617.0 | 82678 | 0.6189 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.618 | 618.0 | 82812 | 0.6227 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.618 | 619.0 | 82946 | 0.6185 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173 | 620.0 | 83080 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173 | 621.0 | 83214 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173 | 622.0 | 83348 | 0.6207 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173 | 623.0 | 83482 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6177 | 624.0 | 83616 | 0.6185 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6177 | 625.0 | 83750 | 0.6236 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6177 | 626.0 | 83884 | 0.6242 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6174 | 627.0 | 84018 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6174 | 628.0 | 84152 | 0.6185 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6174 | 629.0 | 84286 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6174 | 630.0 | 84420 | 0.6359 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167 | 631.0 | 84554 | 0.6189 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167 | 632.0 | 84688 | 0.6183 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167 | 633.0 | 84822 | 0.6205 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167 | 634.0 | 84956 | 0.6205 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6171 | 635.0 | 85090 | 0.6189 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6171 | 636.0 | 85224 | 0.6238 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6171 | 637.0 | 85358 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6171 | 638.0 | 85492 | 0.6184 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6179 | 639.0 | 85626 | 0.6192 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6179 | 640.0 | 85760 | 0.6186 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6179 | 641.0 | 85894 | 0.6234 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173 | 642.0 | 86028 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173 | 643.0 | 86162 | 0.6185 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173 | 644.0 | 86296 | 0.6183 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173 | 645.0 | 86430 | 0.6189 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6182 | 646.0 | 86564 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6182 | 647.0 | 86698 | 0.6207 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6182 | 648.0 | 86832 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6182 | 649.0 | 86966 | 0.6204 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6182 | 650.0 | 87100 | 0.6209 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6182 | 651.0 | 87234 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6182 | 652.0 | 87368 | 0.6187 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6165 | 653.0 | 87502 | 0.6211 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6165 | 654.0 | 87636 | 0.6245 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6165 | 655.0 | 87770 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6165 | 656.0 | 87904 | 0.6195 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176 | 657.0 | 88038 | 0.6201 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176 | 658.0 | 88172 | 0.6198 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176 | 659.0 | 88306 | 0.6185 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176 | 660.0 | 88440 | 0.6182 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6178 | 661.0 | 88574 | 0.6213 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6178 | 662.0 | 88708 | 0.6188 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6178 | 663.0 | 88842 | 0.6186 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6178 | 664.0 | 88976 | 0.6196 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6172 | 665.0 | 89110 | 0.6243 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6172 | 666.0 | 89244 | 0.6269 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6172 | 667.0 | 89378 | 0.6454 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6174 | 668.0 | 89512 | 0.6188 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6174 | 669.0 | 89646 | 0.6183 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6174 | 670.0 | 89780 | 0.6324 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6174 | 671.0 | 89914 | 0.6182 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6179 | 672.0 | 90048 | 0.6184 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6179 | 673.0 | 90182 | 0.6182 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6179 | 674.0 | 90316 | 0.6231 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6179 | 675.0 | 90450 | 0.6187 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6157 | 676.0 | 90584 | 0.6186 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6157 | 677.0 | 90718 | 0.6183 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6157 | 678.0 | 90852 | 0.6186 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6157 | 679.0 | 90986 | 0.6184 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176 | 680.0 | 91120 | 0.6193 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176 | 681.0 | 91254 | 0.6274 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176 | 682.0 | 91388 | 0.6193 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176 | 683.0 | 91522 | 0.6212 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176 | 684.0 | 91656 | 0.6186 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176 | 685.0 | 91790 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176 | 686.0 | 91924 | 0.6195 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156 | 687.0 | 92058 | 0.6208 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156 | 688.0 | 92192 | 0.6214 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156 | 689.0 | 92326 | 0.6189 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156 | 690.0 | 92460 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6194 | 691.0 | 92594 | 0.6217 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6194 | 692.0 | 92728 | 0.6208 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6194 | 693.0 | 92862 | 0.6202 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6194 | 694.0 | 92996 | 0.6225 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6161 | 695.0 | 93130 | 0.6187 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6161 | 696.0 | 93264 | 0.6200 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6161 | 697.0 | 93398 | 0.6264 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6175 | 698.0 | 93532 | 0.6217 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6175 | 699.0 | 93666 | 0.6186 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6175 | 700.0 | 93800 | 0.6207 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6175 | 701.0 | 93934 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6182 | 702.0 | 94068 | 0.6199 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6182 | 703.0 | 94202 | 0.6319 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6182 | 704.0 | 94336 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6182 | 705.0 | 94470 | 0.6186 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6164 | 706.0 | 94604 | 0.6236 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6164 | 707.0 | 94738 | 0.6221 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6164 | 708.0 | 94872 | 0.6202 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6152 | 709.0 | 95006 | 0.6223 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6152 | 710.0 | 95140 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6152 | 711.0 | 95274 | 0.6200 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6152 | 712.0 | 95408 | 0.6203 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6175 | 713.0 | 95542 | 0.6182 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6175 | 714.0 | 95676 | 0.6212 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6175 | 715.0 | 95810 | 0.6182 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6175 | 716.0 | 95944 | 0.6183 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6155 | 717.0 | 96078 | 0.6189 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6155 | 718.0 | 96212 | 0.6255 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6155 | 719.0 | 96346 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6155 | 720.0 | 96480 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169 | 721.0 | 96614 | 0.6199 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169 | 722.0 | 96748 | 0.6403 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169 | 723.0 | 96882 | 0.6202 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176 | 724.0 | 97016 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176 | 725.0 | 97150 | 0.6235 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176 | 726.0 | 97284 | 0.6189 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176 | 727.0 | 97418 | 0.6183 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6157 | 728.0 | 97552 | 0.6182 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6157 | 729.0 | 97686 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6157 | 730.0 | 97820 | 0.6199 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6157 | 731.0 | 97954 | 0.6182 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6187 | 732.0 | 98088 | 0.6221 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6187 | 733.0 | 98222 | 0.6197 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6187 | 734.0 | 98356 | 0.6182 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6187 | 735.0 | 98490 | 0.6216 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6149 | 736.0 | 98624 | 0.6192 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6149 | 737.0 | 98758 | 0.6212 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6149 | 738.0 | 98892 | 0.6202 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169 | 739.0 | 99026 | 0.6203 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169 | 740.0 | 99160 | 0.6189 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169 | 741.0 | 99294 | 0.6274 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169 | 742.0 | 99428 | 0.6202 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6155 | 743.0 | 99562 | 0.6182 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6155 | 744.0 | 99696 | 0.6189 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6155 | 745.0 | 99830 | 0.6182 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6155 | 746.0 | 99964 | 0.6193 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169 | 747.0 | 100098 | 0.6187 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169 | 748.0 | 100232 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169 | 749.0 | 100366 | 0.6182 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6161 | 750.0 | 100500 | 0.6182 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6161 | 751.0 | 100634 | 0.6268 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6161 | 752.0 | 100768 | 0.6205 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6161 | 753.0 | 100902 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176 | 754.0 | 101036 | 0.6191 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176 | 755.0 | 101170 | 0.6187 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176 | 756.0 | 101304 | 0.6186 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176 | 757.0 | 101438 | 0.6184 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167 | 758.0 | 101572 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167 | 759.0 | 101706 | 0.6184 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167 | 760.0 | 101840 | 0.6199 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167 | 761.0 | 101974 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.618 | 762.0 | 102108 | 0.6196 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.618 | 763.0 | 102242 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.618 | 764.0 | 102376 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167 | 765.0 | 102510 | 0.6189 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167 | 766.0 | 102644 | 0.6260 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167 | 767.0 | 102778 | 0.6214 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167 | 768.0 | 102912 | 0.6199 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169 | 769.0 | 103046 | 0.6223 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169 | 770.0 | 103180 | 0.6259 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169 | 771.0 | 103314 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169 | 772.0 | 103448 | 0.6182 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159 | 773.0 | 103582 | 0.6207 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159 | 774.0 | 103716 | 0.6191 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159 | 775.0 | 103850 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159 | 776.0 | 103984 | 0.6184 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6168 | 777.0 | 104118 | 0.6199 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6168 | 778.0 | 104252 | 0.6222 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6168 | 779.0 | 104386 | 0.6203 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6177 | 780.0 | 104520 | 0.6218 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6177 | 781.0 | 104654 | 0.6206 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6177 | 782.0 | 104788 | 0.6286 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6177 | 783.0 | 104922 | 0.6239 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159 | 784.0 | 105056 | 0.6203 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159 | 785.0 | 105190 | 0.6211 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159 | 786.0 | 105324 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159 | 787.0 | 105458 | 0.6184 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173 | 788.0 | 105592 | 0.6193 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173 | 789.0 | 105726 | 0.6185 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173 | 790.0 | 105860 | 0.6185 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173 | 791.0 | 105994 | 0.6198 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173 | 792.0 | 106128 | 0.6197 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173 | 793.0 | 106262 | 0.6202 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173 | 794.0 | 106396 | 0.6235 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6157 | 795.0 | 106530 | 0.6189 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6157 | 796.0 | 106664 | 0.6263 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6157 | 797.0 | 106798 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6157 | 798.0 | 106932 | 0.6199 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6155 | 799.0 | 107066 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6155 | 800.0 | 107200 | 0.6183 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6155 | 801.0 | 107334 | 0.6183 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6155 | 802.0 | 107468 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6192 | 803.0 | 107602 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6192 | 804.0 | 107736 | 0.6190 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6192 | 805.0 | 107870 | 0.6182 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6151 | 806.0 | 108004 | 0.6215 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6151 | 807.0 | 108138 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6151 | 808.0 | 108272 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6151 | 809.0 | 108406 | 0.6207 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6182 | 810.0 | 108540 | 0.6221 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6182 | 811.0 | 108674 | 0.6205 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6182 | 812.0 | 108808 | 0.6196 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6182 | 813.0 | 108942 | 0.6183 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6158 | 814.0 | 109076 | 0.6187 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6158 | 815.0 | 109210 | 0.6182 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6158 | 816.0 | 109344 | 0.6189 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6158 | 817.0 | 109478 | 0.6217 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6151 | 818.0 | 109612 | 0.6193 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6151 | 819.0 | 109746 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6151 | 820.0 | 109880 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169 | 821.0 | 110014 | 0.6194 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169 | 822.0 | 110148 | 0.6257 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169 | 823.0 | 110282 | 0.6185 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169 | 824.0 | 110416 | 0.6202 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6177 | 825.0 | 110550 | 0.6191 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6177 | 826.0 | 110684 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6177 | 827.0 | 110818 | 0.6189 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6177 | 828.0 | 110952 | 0.6195 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6154 | 829.0 | 111086 | 0.6183 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6154 | 830.0 | 111220 | 0.6185 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6154 | 831.0 | 111354 | 0.6192 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6154 | 832.0 | 111488 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6166 | 833.0 | 111622 | 0.6187 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6166 | 834.0 | 111756 | 0.6192 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6166 | 835.0 | 111890 | 0.6185 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.617 | 836.0 | 112024 | 0.6194 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.617 | 837.0 | 112158 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
The model card is truncated. Read the rest on Hugging Face.
- License
- apache-2.0
- Created
- Oct 15, 2023
- Updated
- Oct 15, 2023