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bert-base-uncased-test_16_1069
kwwww/bert-base-uncased-test_16_1069
bert-base-uncased-test_16_1069 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
- a5ce12b9
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_1069
This model is a fine-tuned version of bert-base-uncased on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 4.3588
- F1: {'f1': 0.8042394014962594}
- Accuracy: {'accuracy': 0.6989453499520614}
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2000
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy |
|---|---|---|---|---|---|
| No log | 1.0 | 67 | 0.5879 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| No log | 2.0 | 134 | 0.5747 | {'f1': 0.7801857585139319} | {'accuracy': 0.7277085330776606} |
| No log | 3.0 | 201 | 0.5570 | {'f1': 0.8424206111443978} | {'accuracy': 0.74784276126558} |
| No log | 4.0 | 268 | 0.7406 | {'f1': 0.8374851720047449} | {'accuracy': 0.7372962607861937} |
| No log | 5.0 | 335 | 0.8201 | {'f1': 0.851421188630491} | {'accuracy': 0.7794822627037392} |
| No log | 6.0 | 402 | 0.8660 | {'f1': 0.8404825737265416} | {'accuracy': 0.7718120805369127} |
| No log | 7.0 | 469 | 1.2029 | {'f1': 0.8460087994971716} | {'accuracy': 0.7651006711409396} |
| 0.3504 | 8.0 | 536 | 1.2559 | {'f1': 0.8422344996930632} | {'accuracy': 0.7535953978907} |
| 0.3504 | 9.0 | 603 | 1.4866 | {'f1': 0.8425692695214106} | {'accuracy': 0.7603068072866731} |
| 0.3504 | 10.0 | 670 | 1.4314 | {'f1': 0.8419023136246786} | {'accuracy': 0.7641418983700863} |
| 0.3504 | 11.0 | 737 | 1.6634 | {'f1': 0.8441308531109686} | {'accuracy': 0.7670182166826462} |
| 0.3504 | 12.0 | 804 | 1.3683 | {'f1': 0.8448500651890483} | {'accuracy': 0.7718120805369127} |
| 0.3504 | 13.0 | 871 | 1.9068 | {'f1': 0.8430160692212608} | {'accuracy': 0.7564717162032598} |
| 0.3504 | 14.0 | 938 | 1.9702 | {'f1': 0.8393194706994328} | {'accuracy': 0.7555129434324065} |
| 0.0577 | 15.0 | 1005 | 1.7388 | {'f1': 0.8427339084273391} | {'accuracy': 0.7727708533077661} |
| 0.0577 | 16.0 | 1072 | 1.5435 | {'f1': 0.8409937888198759} | {'accuracy': 0.7545541706615532} |
| 0.0577 | 17.0 | 1139 | 1.6057 | {'f1': 0.8374253483742535} | {'accuracy': 0.7651006711409396} |
| 0.0577 | 18.0 | 1206 | 1.3399 | {'f1': 0.8447284345047924} | {'accuracy': 0.7670182166826462} |
| 0.0577 | 19.0 | 1273 | 1.4941 | {'f1': 0.8412698412698413} | {'accuracy': 0.7698945349952061} |
| 0.0577 | 20.0 | 1340 | 1.7071 | {'f1': 0.8478396994364433} | {'accuracy': 0.7670182166826462} |
| 0.0577 | 21.0 | 1407 | 1.2847 | {'f1': 0.8509316770186335} | {'accuracy': 0.7698945349952061} |
| 0.0577 | 22.0 | 1474 | 1.5951 | {'f1': 0.8489483747609943} | {'accuracy': 0.7727708533077661} |
| 0.0419 | 23.0 | 1541 | 1.3749 | {'f1': 0.8505897771952817} | {'accuracy': 0.7813998082454459} |
| 0.0419 | 24.0 | 1608 | 1.5838 | {'f1': 0.8468468468468469} | {'accuracy': 0.7718120805369127} |
| 0.0419 | 25.0 | 1675 | 2.0442 | {'f1': 0.8368967623701894} | {'accuracy': 0.7440076701821668} |
| 0.0419 | 26.0 | 1742 | 1.7379 | {'f1': 0.8339719029374203} | {'accuracy': 0.75071907957814} |
| 0.0419 | 27.0 | 1809 | 1.4958 | {'f1': 0.8419753086419752} | {'accuracy': 0.7545541706615532} |
| 0.0419 | 28.0 | 1876 | 1.6073 | {'f1': 0.8396756082345601} | {'accuracy': 0.7535953978907} |
| 0.0419 | 29.0 | 1943 | 1.0036 | {'f1': 0.8360433604336043} | {'accuracy': 0.7679769894534996} |
| 0.049 | 30.0 | 2010 | 1.5835 | {'f1': 0.8313993174061434} | {'accuracy': 0.763183125599233} |
| 0.049 | 31.0 | 2077 | 1.5472 | {'f1': 0.8412397216951296} | {'accuracy': 0.7593480345158198} |
| 0.049 | 32.0 | 2144 | 1.4587 | {'f1': 0.8435643564356435} | {'accuracy': 0.7727708533077661} |
| 0.049 | 33.0 | 2211 | 1.8834 | {'f1': 0.8427594779366064} | {'accuracy': 0.7574304889741131} |
| 0.049 | 34.0 | 2278 | 1.7062 | {'f1': 0.8425584255842559} | {'accuracy': 0.7545541706615532} |
| 0.049 | 35.0 | 2345 | 1.8846 | {'f1': 0.8468137254901961} | {'accuracy': 0.7603068072866731} |
| 0.049 | 36.0 | 2412 | 1.2837 | {'f1': 0.8472843450479234} | {'accuracy': 0.7708533077660594} |
| 0.049 | 37.0 | 2479 | 1.5835 | {'f1': 0.8322411533420708} | {'accuracy': 0.7545541706615532} |
| 0.0471 | 38.0 | 2546 | 1.7109 | {'f1': 0.8350515463917526} | {'accuracy': 0.7545541706615532} |
| 0.0471 | 39.0 | 2613 | 2.3271 | {'f1': 0.8419721871049306} | {'accuracy': 0.7603068072866731} |
| 0.0471 | 40.0 | 2680 | 2.0836 | {'f1': 0.8341772151898734} | {'accuracy': 0.7488015340364333} |
| 0.0471 | 41.0 | 2747 | 1.4783 | {'f1': 0.8168421052631578} | {'accuracy': 0.7497603068072867} |
| 0.0471 | 42.0 | 2814 | 1.5867 | {'f1': 0.8466876971608833} | {'accuracy': 0.7670182166826462} |
| 0.0471 | 43.0 | 2881 | 1.9556 | {'f1': 0.8398791540785498} | {'accuracy': 0.7459252157238735} |
| 0.0471 | 44.0 | 2948 | 1.8652 | {'f1': 0.8446417247939126} | {'accuracy': 0.7651006711409396} |
| 0.0272 | 45.0 | 3015 | 1.4984 | {'f1': 0.8384223918575064} | {'accuracy': 0.7564717162032598} |
| 0.0272 | 46.0 | 3082 | 2.2976 | {'f1': 0.8434466019417476} | {'accuracy': 0.7526366251198466} |
| 0.0272 | 47.0 | 3149 | 1.7726 | {'f1': 0.8271687962340282} | {'accuracy': 0.7535953978907} |
| 0.0272 | 48.0 | 3216 | 1.4079 | {'f1': 0.8417680973734787} | {'accuracy': 0.763183125599233} |
| 0.0272 | 49.0 | 3283 | 1.9601 | {'f1': 0.8388780169602087} | {'accuracy': 0.763183125599233} |
| 0.0272 | 50.0 | 3350 | 1.7132 | {'f1': 0.8419672131147541} | {'accuracy': 0.7689357622243528} |
| 0.0272 | 51.0 | 3417 | 1.9065 | {'f1': 0.8423772609819122} | {'accuracy': 0.7660594439117929} |
| 0.0272 | 52.0 | 3484 | 1.6271 | {'f1': 0.8435374149659863} | {'accuracy': 0.7574304889741131} |
| 0.035 | 53.0 | 3551 | 1.9134 | {'f1': 0.839030453697949} | {'accuracy': 0.7516778523489933} |
| 0.035 | 54.0 | 3618 | 1.2223 | {'f1': 0.8315412186379928} | {'accuracy': 0.7296260786193672} |
| 0.035 | 55.0 | 3685 | 1.9100 | {'f1': 0.8471953578336557} | {'accuracy': 0.7727708533077661} |
| 0.035 | 56.0 | 3752 | 1.7624 | {'f1': 0.8410513141426784} | {'accuracy': 0.7564717162032598} |
| 0.035 | 57.0 | 3819 | 1.6260 | {'f1': 0.8396846254927727} | {'accuracy': 0.7660594439117929} |
| 0.035 | 58.0 | 3886 | 1.8729 | {'f1': 0.838868388683887} | {'accuracy': 0.7488015340364333} |
| 0.035 | 59.0 | 3953 | 1.7361 | {'f1': 0.842039800995025} | {'accuracy': 0.7564717162032598} |
| 0.0425 | 60.0 | 4020 | 2.6457 | {'f1': 0.8328267477203647} | {'accuracy': 0.7363374880153404} |
| 0.0425 | 61.0 | 4087 | 1.6427 | {'f1': 0.8251400124455508} | {'accuracy': 0.7305848513902206} |
| 0.0425 | 62.0 | 4154 | 1.8693 | {'f1': 0.8444444444444443} | {'accuracy': 0.7651006711409396} |
| 0.0425 | 63.0 | 4221 | 1.4339 | {'f1': 0.8385449904275686} | {'accuracy': 0.7574304889741131} |
| 0.0425 | 64.0 | 4288 | 1.9156 | {'f1': 0.8382165605095542} | {'accuracy': 0.7564717162032598} |
| 0.0425 | 65.0 | 4355 | 1.8338 | {'f1': 0.8368146214099217} | {'accuracy': 0.7603068072866731} |
| 0.0425 | 66.0 | 4422 | 1.3498 | {'f1': 0.8367473618870268} | {'accuracy': 0.74784276126558} |
| 0.0425 | 67.0 | 4489 | 2.1211 | {'f1': 0.8415584415584416} | {'accuracy': 0.7660594439117929} |
| 0.049 | 68.0 | 4556 | 1.9182 | {'f1': 0.8391332895600787} | {'accuracy': 0.7651006711409396} |
| 0.049 | 69.0 | 4623 | 1.6831 | {'f1': 0.8395061728395061} | {'accuracy': 0.763183125599233} |
| 0.049 | 70.0 | 4690 | 1.5006 | {'f1': 0.8284789644012944} | {'accuracy': 0.7459252157238735} |
| 0.049 | 71.0 | 4757 | 1.1305 | {'f1': 0.821664464993395} | {'accuracy': 0.7411313518696069} |
| 0.049 | 72.0 | 4824 | 1.8027 | {'f1': 0.8407407407407408} | {'accuracy': 0.7526366251198466} |
| 0.049 | 73.0 | 4891 | 2.4575 | {'f1': 0.8399044205495819} | {'accuracy': 0.7430488974113135} |
| 0.049 | 74.0 | 4958 | 1.5636 | {'f1': 0.8385449904275686} | {'accuracy': 0.7574304889741131} |
| 0.0443 | 75.0 | 5025 | 1.5191 | {'f1': 0.8409669211195929} | {'accuracy': 0.7603068072866731} |
| 0.0443 | 76.0 | 5092 | 1.4819 | {'f1': 0.8215994531784004} | {'accuracy': 0.7497603068072867} |
| 0.0443 | 77.0 | 5159 | 1.9624 | {'f1': 0.8336448598130841} | {'accuracy': 0.7440076701821668} |
| 0.0443 | 78.0 | 5226 | 2.6006 | {'f1': 0.8401997503121098} | {'accuracy': 0.7545541706615532} |
| 0.0443 | 79.0 | 5293 | 1.7369 | {'f1': 0.8461538461538463} | {'accuracy': 0.7622243528283796} |
| 0.0443 | 80.0 | 5360 | 1.3129 | {'f1': 0.8339920948616601} | {'accuracy': 0.7583892617449665} |
| 0.0443 | 81.0 | 5427 | 2.0260 | {'f1': 0.8430769230769232} | {'accuracy': 0.7555129434324065} |
| 0.0443 | 82.0 | 5494 | 1.4667 | {'f1': 0.8365758754863812} | {'accuracy': 0.7583892617449665} |
| 0.0481 | 83.0 | 5561 | 1.3350 | {'f1': 0.8410852713178294} | {'accuracy': 0.7641418983700863} |
| 0.0481 | 84.0 | 5628 | 1.3928 | {'f1': 0.8393977415307404} | {'accuracy': 0.7545541706615532} |
| 0.0481 | 85.0 | 5695 | 1.7076 | {'f1': 0.8338804990151018} | {'accuracy': 0.7574304889741131} |
| 0.0481 | 86.0 | 5762 | 2.0295 | {'f1': 0.824607329842932} | {'accuracy': 0.7430488974113135} |
| 0.0481 | 87.0 | 5829 | 1.6961 | {'f1': 0.8389560789306174} | {'accuracy': 0.7574304889741131} |
| 0.0481 | 88.0 | 5896 | 1.5844 | {'f1': 0.824755700325733} | {'accuracy': 0.7420901246404602} |
| 0.0481 | 89.0 | 5963 | 1.9236 | {'f1': 0.814411964649898} | {'accuracy': 0.738255033557047} |
| 0.0483 | 90.0 | 6030 | 1.6411 | {'f1': 0.8293316028552888} | {'accuracy': 0.74784276126558} |
| 0.0483 | 91.0 | 6097 | 1.8739 | {'f1': 0.8402439024390244} | {'accuracy': 0.7488015340364333} |
| 0.0483 | 92.0 | 6164 | 1.8395 | {'f1': 0.8351368555060471} | {'accuracy': 0.7516778523489933} |
| 0.0483 | 93.0 | 6231 | 2.0723 | {'f1': 0.8405438813349814} | {'accuracy': 0.7526366251198466} |
| 0.0483 | 94.0 | 6298 | 1.8634 | {'f1': 0.8415300546448088} | {'accuracy': 0.7497603068072867} |
| 0.0483 | 95.0 | 6365 | 1.9256 | {'f1': 0.8295662797800855} | {'accuracy': 0.7325023969319271} |
| 0.0483 | 96.0 | 6432 | 2.0026 | {'f1': 0.8403465346534654} | {'accuracy': 0.7526366251198466} |
| 0.0483 | 97.0 | 6499 | 2.0732 | {'f1': 0.8286384976525822} | {'accuracy': 0.7200383509108341} |
| 0.0384 | 98.0 | 6566 | 1.8737 | {'f1': 0.8503532434168274} | {'accuracy': 0.7766059443911792} |
| 0.0384 | 99.0 | 6633 | 2.0952 | {'f1': 0.8365444375388441} | {'accuracy': 0.74784276126558} |
| 0.0384 | 100.0 | 6700 | 2.4121 | {'f1': 0.8460591133004927} | {'accuracy': 0.7603068072866731} |
| 0.0384 | 101.0 | 6767 | 1.8195 | {'f1': 0.8396464646464646} | {'accuracy': 0.7564717162032598} |
| 0.0384 | 102.0 | 6834 | 1.4623 | {'f1': 0.797486033519553} | {'accuracy': 0.7219558964525408} |
| 0.0384 | 103.0 | 6901 | 2.1245 | {'f1': 0.8391089108910891} | {'accuracy': 0.75071907957814} |
| 0.0384 | 104.0 | 6968 | 1.6440 | {'f1': 0.8405797101449276} | {'accuracy': 0.7679769894534996} |
| 0.038 | 105.0 | 7035 | 1.9479 | {'f1': 0.8314754098360656} | {'accuracy': 0.7535953978907} |
| 0.038 | 106.0 | 7102 | 1.8748 | {'f1': 0.8328154133001864} | {'accuracy': 0.7420901246404602} |
| 0.038 | 107.0 | 7169 | 1.4211 | {'f1': 0.831151832460733} | {'accuracy': 0.7526366251198466} |
| 0.038 | 108.0 | 7236 | 1.9897 | {'f1': 0.823529411764706} | {'accuracy': 0.7325023969319271} |
| 0.038 | 109.0 | 7303 | 1.7817 | {'f1': 0.8084239130434783} | {'accuracy': 0.7296260786193672} |
| 0.038 | 110.0 | 7370 | 1.8589 | {'f1': 0.8134920634920636} | {'accuracy': 0.7296260786193672} |
| 0.038 | 111.0 | 7437 | 2.0391 | {'f1': 0.8152454780361758} | {'accuracy': 0.725790987535954} |
| 0.0532 | 112.0 | 7504 | 1.6395 | {'f1': 0.828996282527881} | {'accuracy': 0.7353787152444871} |
| 0.0532 | 113.0 | 7571 | 2.2076 | {'f1': 0.8341645885286784} | {'accuracy': 0.7449664429530202} |
| 0.0532 | 114.0 | 7638 | 2.4226 | {'f1': 0.8337378640776699} | {'accuracy': 0.7372962607861937} |
| 0.0532 | 115.0 | 7705 | 1.2817 | {'f1': 0.8342714196372732} | {'accuracy': 0.7459252157238735} |
| 0.0532 | 116.0 | 7772 | 2.2737 | {'f1': 0.8317073170731707} | {'accuracy': 0.7353787152444871} |
| 0.0532 | 117.0 | 7839 | 1.9394 | {'f1': 0.8260325406758449} | {'accuracy': 0.7334611697027804} |
| 0.0532 | 118.0 | 7906 | 2.2936 | {'f1': 0.8234536082474228} | {'accuracy': 0.7372962607861937} |
| 0.0532 | 119.0 | 7973 | 1.8452 | {'f1': 0.8306148055207027} | {'accuracy': 0.7411313518696069} |
| 0.049 | 120.0 | 8040 | 2.4783 | {'f1': 0.8275449101796407} | {'accuracy': 0.7238734419942474} |
| 0.049 | 121.0 | 8107 | 2.1361 | {'f1': 0.8167202572347267} | {'accuracy': 0.7267497603068073} |
| 0.049 | 122.0 | 8174 | 2.0442 | {'f1': 0.830848995463383} | {'accuracy': 0.7497603068072867} |
| 0.049 | 123.0 | 8241 | 2.4047 | {'f1': 0.8211920529801324} | {'accuracy': 0.7411313518696069} |
| 0.049 | 124.0 | 8308 | 1.4207 | {'f1': 0.8226018396846255} | {'accuracy': 0.7411313518696069} |
| 0.049 | 125.0 | 8375 | 2.2460 | {'f1': 0.8252184769038702} | {'accuracy': 0.7315436241610739} |
| 0.049 | 126.0 | 8442 | 2.6570 | {'f1': 0.8257211538461539} | {'accuracy': 0.7219558964525408} |
| 0.0343 | 127.0 | 8509 | 2.5992 | {'f1': 0.8293867638129933} | {'accuracy': 0.7305848513902206} |
| 0.0343 | 128.0 | 8576 | 2.6733 | {'f1': 0.8308823529411765} | {'accuracy': 0.7353787152444871} |
| 0.0343 | 129.0 | 8643 | 2.6073 | {'f1': 0.8283723875870805} | {'accuracy': 0.7401725790987536} |
| 0.0343 | 130.0 | 8710 | 1.9251 | {'f1': 0.805668016194332} | {'accuracy': 0.7238734419942474} |
| 0.0343 | 131.0 | 8777 | 1.6319 | {'f1': 0.8204456094364352} | {'accuracy': 0.7372962607861937} |
| 0.0343 | 132.0 | 8844 | 1.9498 | {'f1': 0.8269230769230769} | {'accuracy': 0.7411313518696069} |
| 0.0343 | 133.0 | 8911 | 1.8111 | {'f1': 0.8309677419354838} | {'accuracy': 0.7488015340364333} |
| 0.0343 | 134.0 | 8978 | 1.9456 | {'f1': 0.8246753246753247} | {'accuracy': 0.7411313518696069} |
| 0.0361 | 135.0 | 9045 | 2.1826 | {'f1': 0.8220937700706487} | {'accuracy': 0.7344199424736337} |
| 0.0361 | 136.0 | 9112 | 1.5774 | {'f1': 0.8310387984981228} | {'accuracy': 0.7411313518696069} |
| 0.0361 | 137.0 | 9179 | 2.4278 | {'f1': 0.8249075215782984} | {'accuracy': 0.7277085330776606} |
| 0.0361 | 138.0 | 9246 | 1.3895 | {'f1': 0.8233082706766918} | {'accuracy': 0.7296260786193672} |
| 0.0361 | 139.0 | 9313 | 2.0902 | {'f1': 0.8128342245989304} | {'accuracy': 0.7315436241610739} |
| 0.0361 | 140.0 | 9380 | 2.0259 | {'f1': 0.8232354778263585} | {'accuracy': 0.7286673058485139} |
| 0.0361 | 141.0 | 9447 | 2.1325 | {'f1': 0.825515947467167} | {'accuracy': 0.7325023969319271} |
| 0.0562 | 142.0 | 9514 | 2.0610 | {'f1': 0.8207426376440461} | {'accuracy': 0.7315436241610739} |
| 0.0562 | 143.0 | 9581 | 1.4215 | {'f1': 0.8223938223938223} | {'accuracy': 0.7353787152444871} |
| 0.0562 | 144.0 | 9648 | 1.4644 | {'f1': 0.8226120857699806} | {'accuracy': 0.738255033557047} |
| 0.0562 | 145.0 | 9715 | 2.3814 | {'f1': 0.8266003729024238} | {'accuracy': 0.7325023969319271} |
| 0.0562 | 146.0 | 9782 | 2.2019 | {'f1': 0.828334396936822} | {'accuracy': 0.7420901246404602} |
| 0.0562 | 147.0 | 9849 | 2.4529 | {'f1': 0.8213836477987422} | {'accuracy': 0.7277085330776606} |
| 0.0562 | 148.0 | 9916 | 1.8754 | {'f1': 0.8313479623824451} | {'accuracy': 0.7420901246404602} |
| 0.0562 | 149.0 | 9983 | 2.0815 | {'f1': 0.8332329921733895} | {'accuracy': 0.7344199424736337} |
| 0.0457 | 150.0 | 10050 | 1.8325 | {'f1': 0.8277634961439588} | {'accuracy': 0.7430488974113135} |
| 0.0457 | 151.0 | 10117 | 1.9036 | {'f1': 0.8309859154929577} | {'accuracy': 0.7468839884947267} |
| 0.0457 | 152.0 | 10184 | 1.8461 | {'f1': 0.8303516347933374} | {'accuracy': 0.7363374880153404} |
| 0.0457 | 153.0 | 10251 | 1.7572 | {'f1': 0.8288834951456312} | {'accuracy': 0.7296260786193672} |
| 0.0457 | 154.0 | 10318 | 1.5614 | {'f1': 0.8228423101881894} | {'accuracy': 0.738255033557047} |
| 0.0457 | 155.0 | 10385 | 1.3556 | {'f1': 0.8275862068965517} | {'accuracy': 0.7363374880153404} |
| 0.0457 | 156.0 | 10452 | 1.7987 | {'f1': 0.8391959798994975} | {'accuracy': 0.7545541706615532} |
| 0.0464 | 157.0 | 10519 | 1.8711 | {'f1': 0.827930174563591} | {'accuracy': 0.7353787152444871} |
| 0.0464 | 158.0 | 10586 | 1.9391 | {'f1': 0.8280407429598563} | {'accuracy': 0.7248322147651006} |
| 0.0464 | 159.0 | 10653 | 1.3466 | {'f1': 0.8326797385620914} | {'accuracy': 0.7545541706615532} |
| 0.0464 | 160.0 | 10720 | 2.0257 | {'f1': 0.8271527341294783} | {'accuracy': 0.7363374880153404} |
| 0.0464 | 161.0 | 10787 | 1.5463 | {'f1': 0.832089552238806} | {'accuracy': 0.7411313518696069} |
| 0.0464 | 162.0 | 10854 | 2.1249 | {'f1': 0.8290488431876606} | {'accuracy': 0.7449664429530202} |
| 0.0464 | 163.0 | 10921 | 1.5738 | {'f1': 0.8220064724919095} | {'accuracy': 0.7363374880153404} |
| 0.0464 | 164.0 | 10988 | 1.4705 | {'f1': 0.8270096463022508} | {'accuracy': 0.7420901246404602} |
| 0.0465 | 165.0 | 11055 | 2.3533 | {'f1': 0.8257107540173053} | {'accuracy': 0.7296260786193672} |
| 0.0465 | 166.0 | 11122 | 2.3995 | {'f1': 0.8253968253968255} | {'accuracy': 0.725790987535954} |
| 0.0465 | 167.0 | 11189 | 2.1748 | {'f1': 0.8285714285714286} | {'accuracy': 0.7238734419942474} |
| 0.0465 | 168.0 | 11256 | 2.0399 | {'f1': 0.8142857142857142} | {'accuracy': 0.725790987535954} |
| 0.0465 | 169.0 | 11323 | 2.0595 | {'f1': 0.8274203247143717} | {'accuracy': 0.7248322147651006} |
| 0.0465 | 170.0 | 11390 | 1.9879 | {'f1': 0.8194271481942714} | {'accuracy': 0.7219558964525408} |
| 0.0465 | 171.0 | 11457 | 3.0808 | {'f1': 0.8266993263931415} | {'accuracy': 0.7286673058485139} |
| 0.0401 | 172.0 | 11524 | 2.1377 | {'f1': 0.8253968253968254} | {'accuracy': 0.7363374880153404} |
| 0.0401 | 173.0 | 11591 | 2.5008 | {'f1': 0.8276714021000617} | {'accuracy': 0.7325023969319271} |
| 0.0401 | 174.0 | 11658 | 2.1683 | {'f1': 0.8300060496067755} | {'accuracy': 0.7305848513902206} |
| 0.0401 | 175.0 | 11725 | 2.1014 | {'f1': 0.8314199395770392} | {'accuracy': 0.7325023969319271} |
| 0.0401 | 176.0 | 11792 | 2.4454 | {'f1': 0.8363858363858364} | {'accuracy': 0.7430488974113135} |
| 0.0401 | 177.0 | 11859 | 2.2738 | {'f1': 0.8395989974937343} | {'accuracy': 0.7545541706615532} |
| 0.0401 | 178.0 | 11926 | 2.0284 | {'f1': 0.8232258064516128} | {'accuracy': 0.7372962607861937} |
| 0.0401 | 179.0 | 11993 | 1.7525 | {'f1': 0.8259513412351841} | {'accuracy': 0.7325023969319271} |
| 0.0439 | 180.0 | 12060 | 1.9236 | {'f1': 0.8314176245210728} | {'accuracy': 0.7468839884947267} |
| 0.0439 | 181.0 | 12127 | 2.2251 | {'f1': 0.8356579745300181} | {'accuracy': 0.7401725790987536} |
| 0.0439 | 182.0 | 12194 | 1.6463 | {'f1': 0.8264026402640263} | {'accuracy': 0.74784276126558} |
| 0.0439 | 183.0 | 12261 | 2.3242 | {'f1': 0.8373531230674086} | {'accuracy': 0.74784276126558} |
| 0.0439 | 184.0 | 12328 | 2.4033 | {'f1': 0.8307888040712469} | {'accuracy': 0.7449664429530202} |
| 0.0439 | 185.0 | 12395 | 1.5165 | {'f1': 0.819607843137255} | {'accuracy': 0.7353787152444871} |
| 0.0439 | 186.0 | 12462 | 2.2202 | {'f1': 0.8214747736093144} | {'accuracy': 0.7353787152444871} |
| 0.0346 | 187.0 | 12529 | 1.8881 | {'f1': 0.8328154133001864} | {'accuracy': 0.7420901246404602} |
| 0.0346 | 188.0 | 12596 | 1.9499 | {'f1': 0.8349875930521091} | {'accuracy': 0.7449664429530202} |
| 0.0346 | 189.0 | 12663 | 1.9087 | {'f1': 0.8335373317013464} | {'accuracy': 0.7392138063279002} |
| 0.0346 | 190.0 | 12730 | 2.1890 | {'f1': 0.8361162646876934} | {'accuracy': 0.7459252157238735} |
| 0.0346 | 191.0 | 12797 | 2.2057 | {'f1': 0.8351648351648352} | {'accuracy': 0.7555129434324065} |
| 0.0346 | 192.0 | 12864 | 2.2961 | {'f1': 0.8254164096236891} | {'accuracy': 0.7286673058485139} |
| 0.0346 | 193.0 | 12931 | 2.4792 | {'f1': 0.8232445520581113} | {'accuracy': 0.7200383509108341} |
| 0.0346 | 194.0 | 12998 | 1.7966 | {'f1': 0.8299748110831233} | {'accuracy': 0.7411313518696069} |
| 0.0337 | 195.0 | 13065 | 2.2611 | {'f1': 0.828828828828829} | {'accuracy': 0.7267497603068073} |
| 0.0337 | 196.0 | 13132 | 2.1980 | {'f1': 0.8204787234042553} | {'accuracy': 0.7411313518696069} |
| 0.0337 | 197.0 | 13199 | 2.3403 | {'f1': 0.8252007411982705} | {'accuracy': 0.7286673058485139} |
| 0.0337 | 198.0 | 13266 | 2.3529 | {'f1': 0.8277130594727161} | {'accuracy': 0.7305848513902206} |
| 0.0337 | 199.0 | 13333 | 2.2663 | {'f1': 0.8249221183800622} | {'accuracy': 0.7305848513902206} |
| 0.0337 | 200.0 | 13400 | 1.7595 | {'f1': 0.8189873417721518} | {'accuracy': 0.725790987535954} |
| 0.0337 | 201.0 | 13467 | 2.4966 | {'f1': 0.8270401948842875} | {'accuracy': 0.7277085330776606} |
| 0.0481 | 202.0 | 13534 | 2.6246 | {'f1': 0.8272841051314144} | {'accuracy': 0.7353787152444871} |
| 0.0481 | 203.0 | 13601 | 2.5412 | {'f1': 0.8177014531043592} | {'accuracy': 0.7353787152444871} |
| 0.0481 | 204.0 | 13668 | 2.5624 | {'f1': 0.819693094629156} | {'accuracy': 0.7296260786193672} |
| 0.0481 | 205.0 | 13735 | 2.6099 | {'f1': 0.8259010384850337} | {'accuracy': 0.7267497603068073} |
| 0.0481 | 206.0 | 13802 | 2.6160 | {'f1': 0.8220779220779222} | {'accuracy': 0.7372962607861937} |
| 0.0481 | 207.0 | 13869 | 2.7832 | {'f1': 0.8259833134684148} | {'accuracy': 0.7200383509108341} |
| 0.0481 | 208.0 | 13936 | 1.5844 | {'f1': 0.8261997405966278} | {'accuracy': 0.7430488974113135} |
| 0.0233 | 209.0 | 14003 | 2.2950 | {'f1': 0.8246385920804525} | {'accuracy': 0.7325023969319271} |
| 0.0233 | 210.0 | 14070 | 2.4042 | {'f1': 0.8208020050125312} | {'accuracy': 0.725790987535954} |
| 0.0233 | 211.0 | 14137 | 2.6540 | {'f1': 0.8175182481751825} | {'accuracy': 0.7123681687440077} |
| 0.0233 | 212.0 | 14204 | 1.8877 | {'f1': 0.8119062697910071} | {'accuracy': 0.7152444870565676} |
| 0.0233 | 213.0 | 14271 | 2.0722 | {'f1': 0.8246385920804525} | {'accuracy': 0.7325023969319271} |
| 0.0233 | 214.0 | 14338 | 1.7755 | {'f1': 0.8300192431045542} | {'accuracy': 0.7459252157238735} |
| 0.0233 | 215.0 | 14405 | 2.0671 | {'f1': 0.8277571251548947} | {'accuracy': 0.7334611697027804} |
| 0.0233 | 216.0 | 14472 | 2.4026 | {'f1': 0.8092783505154639} | {'accuracy': 0.716203259827421} |
| 0.0482 | 217.0 | 14539 | 1.1362 | {'f1': 0.8232189973614776} | {'accuracy': 0.7430488974113135} |
| 0.0482 | 218.0 | 14606 | 2.0350 | {'f1': 0.8233082706766918} | {'accuracy': 0.7296260786193672} |
| 0.0482 | 219.0 | 14673 | 1.9862 | {'f1': 0.8288177339901478} | {'accuracy': 0.7334611697027804} |
| 0.0482 | 220.0 | 14740 | 2.2265 | {'f1': 0.810077519379845} | {'accuracy': 0.7181208053691275} |
| 0.0482 | 221.0 | 14807 | 1.8522 | {'f1': 0.8204472843450481} | {'accuracy': 0.7305848513902206} |
| 0.0482 | 222.0 | 14874 | 1.7828 | {'f1': 0.8246268656716419} | {'accuracy': 0.7296260786193672} |
| 0.0482 | 223.0 | 14941 | 1.5260 | {'f1': 0.8165079365079365} | {'accuracy': 0.7229146692233941} |
| 0.0785 | 224.0 | 15008 | 2.1516 | {'f1': 0.8284313725490196} | {'accuracy': 0.7315436241610739} |
| 0.0785 | 225.0 | 15075 | 1.8078 | {'f1': 0.8276729559748428} | {'accuracy': 0.7372962607861937} |
| 0.0785 | 226.0 | 15142 | 1.5725 | {'f1': 0.8275441803778184} | {'accuracy': 0.7286673058485139} |
| 0.0785 | 227.0 | 15209 | 1.6072 | {'f1': 0.8305190744215134} | {'accuracy': 0.7401725790987536} |
| 0.0785 | 228.0 | 15276 | 1.5795 | {'f1': 0.8318042813455658} | {'accuracy': 0.7363374880153404} |
| 0.0785 | 229.0 | 15343 | 1.9772 | {'f1': 0.8307880268784361} | {'accuracy': 0.7344199424736337} |
| 0.0785 | 230.0 | 15410 | 1.9313 | {'f1': 0.8223350253807107} | {'accuracy': 0.7315436241610739} |
| 0.0785 | 231.0 | 15477 | 2.3155 | {'f1': 0.8236729713239781} | {'accuracy': 0.7229146692233941} |
| 0.0437 | 232.0 | 15544 | 2.0415 | {'f1': 0.8269604666234608} | {'accuracy': 0.7440076701821668} |
| 0.0437 | 233.0 | 15611 | 2.2890 | {'f1': 0.8360450563204005} | {'accuracy': 0.7488015340364333} |
| 0.0437 | 234.0 | 15678 | 2.0242 | {'f1': 0.8252299605781866} | {'accuracy': 0.7449664429530202} |
| 0.0437 | 235.0 | 15745 | 2.5560 | {'f1': 0.8253968253968255} | {'accuracy': 0.725790987535954} |
| 0.0437 | 236.0 | 15812 | 2.1370 | {'f1': 0.820066889632107} | {'accuracy': 0.7420901246404602} |
| 0.0437 | 237.0 | 15879 | 2.3976 | {'f1': 0.8201160541586073} | {'accuracy': 0.7325023969319271} |
| 0.0437 | 238.0 | 15946 | 2.0668 | {'f1': 0.8240563019833654} | {'accuracy': 0.7363374880153404} |
| 0.029 | 239.0 | 16013 | 2.6144 | {'f1': 0.8304878048780489} | {'accuracy': 0.7334611697027804} |
| 0.029 | 240.0 | 16080 | 2.4390 | {'f1': 0.823076923076923} | {'accuracy': 0.7353787152444871} |
| 0.029 | 241.0 | 16147 | 2.6111 | {'f1': 0.8302583025830258} | {'accuracy': 0.7353787152444871} |
| 0.029 | 242.0 | 16214 | 2.1808 | {'f1': 0.8100929614873839} | {'accuracy': 0.725790987535954} |
| 0.029 | 243.0 | 16281 | 2.5292 | {'f1': 0.8259551243177684} | {'accuracy': 0.7248322147651006} |
| 0.029 | 244.0 | 16348 | 2.8765 | {'f1': 0.8240291262135921} | {'accuracy': 0.7219558964525408} |
| 0.029 | 245.0 | 16415 | 2.1378 | {'f1': 0.8258145363408521} | {'accuracy': 0.7334611697027804} |
| 0.029 | 246.0 | 16482 | 2.7818 | {'f1': 0.8210262828535669} | {'accuracy': 0.725790987535954} |
| 0.0275 | 247.0 | 16549 | 2.3042 | {'f1': 0.8238213399503722} | {'accuracy': 0.7277085330776606} |
| 0.0275 | 248.0 | 16616 | 2.1543 | {'f1': 0.8292985723153321} | {'accuracy': 0.7363374880153404} |
| 0.0275 | 249.0 | 16683 | 1.8719 | {'f1': 0.8230719377835385} | {'accuracy': 0.738255033557047} |
| 0.0275 | 250.0 | 16750 | 1.8956 | {'f1': 0.8290341931613677} | {'accuracy': 0.7267497603068073} |
| 0.0275 | 251.0 | 16817 | 1.8268 | {'f1': 0.835538752362949} | {'accuracy': 0.7497603068072867} |
| 0.0275 | 252.0 | 16884 | 1.9151 | {'f1': 0.8275862068965517} | {'accuracy': 0.7363374880153404} |
| 0.0275 | 253.0 | 16951 | 1.5773 | {'f1': 0.8238213399503722} | {'accuracy': 0.7277085330776606} |
| 0.0461 | 254.0 | 17018 | 2.0981 | {'f1': 0.8206979542719615} | {'accuracy': 0.7142857142857143} |
| 0.0461 | 255.0 | 17085 | 2.0737 | {'f1': 0.8252605763335378} | {'accuracy': 0.7267497603068073} |
| 0.0461 | 256.0 | 17152 | 1.8176 | {'f1': 0.8289067325509574} | {'accuracy': 0.7344199424736337} |
| 0.0461 | 257.0 | 17219 | 1.6245 | {'f1': 0.8245505269683819} | {'accuracy': 0.7286673058485139} |
| 0.0461 | 258.0 | 17286 | 1.8441 | {'f1': 0.8164598301763553} | {'accuracy': 0.7305848513902206} |
| 0.0461 | 259.0 | 17353 | 1.9484 | {'f1': 0.8144853875476493} | {'accuracy': 0.7200383509108341} |
| 0.0461 | 260.0 | 17420 | 2.1485 | {'f1': 0.8215403882279273} | {'accuracy': 0.7267497603068073} |
| 0.0461 | 261.0 | 17487 | 1.9363 | {'f1': 0.8259513412351841} | {'accuracy': 0.7325023969319271} |
| 0.0489 | 262.0 | 17554 | 2.2427 | {'f1': 0.8221092757306225} | {'accuracy': 0.7315436241610739} |
| 0.0489 | 263.0 | 17621 | 2.2635 | {'f1': 0.820726622989875} | {'accuracy': 0.7114093959731543} |
| 0.0489 | 264.0 | 17688 | 2.4201 | {'f1': 0.8104993597951344} | {'accuracy': 0.716203259827421} |
| 0.0489 | 265.0 | 17755 | 1.9315 | {'f1': 0.8233861144945189} | {'accuracy': 0.7219558964525408} |
| 0.0489 | 266.0 | 17822 | 2.3904 | {'f1': 0.8264984227129337} | {'accuracy': 0.7363374880153404} |
| 0.0489 | 267.0 | 17889 | 2.6423 | {'f1': 0.8278021289918598} | {'accuracy': 0.7363374880153404} |
| 0.0489 | 268.0 | 17956 | 2.2025 | {'f1': 0.8239074550128535} | {'accuracy': 0.7372962607861937} |
| 0.0288 | 269.0 | 18023 | 1.9874 | {'f1': 0.8073979591836735} | {'accuracy': 0.710450623202301} |
| 0.0288 | 270.0 | 18090 | 2.0267 | {'f1': 0.828048780487805} | {'accuracy': 0.7296260786193672} |
| 0.0288 | 271.0 | 18157 | 2.2352 | {'f1': 0.8282051282051283} | {'accuracy': 0.7430488974113135} |
| 0.0288 | 272.0 | 18224 | 1.9815 | {'f1': 0.8220706757594544} | {'accuracy': 0.7248322147651006} |
| 0.0288 | 273.0 | 18291 | 2.7236 | {'f1': 0.8248932275777914} | {'accuracy': 0.7248322147651006} |
| 0.0288 | 274.0 | 18358 | 2.1210 | {'f1': 0.8193384223918576} | {'accuracy': 0.7277085330776606} |
| 0.0288 | 275.0 | 18425 | 2.5776 | {'f1': 0.8248792270531401} | {'accuracy': 0.7219558964525408} |
| 0.0288 | 276.0 | 18492 | 2.1042 | {'f1': 0.8208508088675853} | {'accuracy': 0.713326941514861} |
| 0.0416 | 277.0 | 18559 | 1.8552 | {'f1': 0.8140262993112085} | {'accuracy': 0.7152444870565676} |
| 0.0416 | 278.0 | 18626 | 2.0734 | {'f1': 0.8002610966057441} | {'accuracy': 0.7066155321188878} |
| 0.0416 | 279.0 | 18693 | 2.3946 | {'f1': 0.821556886227545} | {'accuracy': 0.7142857142857143} |
| 0.0416 | 280.0 | 18760 | 1.7123 | {'f1': 0.8124174372523117} | {'accuracy': 0.7277085330776606} |
| 0.0416 | 281.0 | 18827 | 1.9855 | {'f1': 0.8280024140012069} | {'accuracy': 0.7267497603068073} |
| 0.0416 | 282.0 | 18894 | 2.3011 | {'f1': 0.8117048346055981} | {'accuracy': 0.716203259827421} |
| 0.0416 | 283.0 | 18961 | 2.1751 | {'f1': 0.8228004956629492} | {'accuracy': 0.725790987535954} |
| 0.0462 | 284.0 | 19028 | 2.5432 | {'f1': 0.8175092478421702} | {'accuracy': 0.716203259827421} |
| 0.0462 | 285.0 | 19095 | 2.2849 | {'f1': 0.8243412797992472} | {'accuracy': 0.7315436241610739} |
| 0.0462 | 286.0 | 19162 | 1.9859 | {'f1': 0.8130899937067337} | {'accuracy': 0.7152444870565676} |
| 0.0462 | 287.0 | 19229 | 2.2404 | {'f1': 0.7999999999999999} | {'accuracy': 0.7142857142857143} |
| 0.0462 | 288.0 | 19296 | 2.1723 | {'f1': 0.8209331651954603} | {'accuracy': 0.7277085330776606} |
| 0.0462 | 289.0 | 19363 | 1.9516 | {'f1': 0.823529411764706} | {'accuracy': 0.7209971236816874} |
| 0.0462 | 290.0 | 19430 | 2.1546 | {'f1': 0.8211330362826226} | {'accuracy': 0.7305848513902206} |
| 0.0462 | 291.0 | 19497 | 2.9390 | {'f1': 0.8252080856123662} | {'accuracy': 0.7181208053691275} |
| 0.041 | 292.0 | 19564 | 2.3201 | {'f1': 0.8222506393861893} | {'accuracy': 0.7334611697027804} |
| 0.041 | 293.0 | 19631 | 2.6118 | {'f1': 0.8179611650485438} | {'accuracy': 0.7123681687440077} |
| 0.041 | 294.0 | 19698 | 1.7692 | {'f1': 0.8093434343434344} | {'accuracy': 0.710450623202301} |
| 0.041 | 295.0 | 19765 | 2.5789 | {'f1': 0.8227300802964793} | {'accuracy': 0.7248322147651006} |
| 0.041 | 296.0 | 19832 | 2.0399 | {'f1': 0.8208673790069139} | {'accuracy': 0.7267497603068073} |
| 0.041 | 297.0 | 19899 | 2.6656 | {'f1': 0.8179581795817958} | {'accuracy': 0.716203259827421} |
| 0.041 | 298.0 | 19966 | 2.2756 | {'f1': 0.8146766169154228} | {'accuracy': 0.7142857142857143} |
| 0.0474 | 299.0 | 20033 | 1.9462 | {'f1': 0.8010171646535282} | {'accuracy': 0.6999041227229147} |
| 0.0474 | 300.0 | 20100 | 2.2218 | {'f1': 0.8235294117647058} | {'accuracy': 0.7267497603068073} |
| 0.0474 | 301.0 | 20167 | 2.2877 | {'f1': 0.8103015075376885} | {'accuracy': 0.710450623202301} |
| 0.0474 | 302.0 | 20234 | 2.6322 | {'f1': 0.8128872366790583} | {'accuracy': 0.710450623202301} |
| 0.0474 | 303.0 | 20301 | 2.2655 | {'f1': 0.8052930056710776} | {'accuracy': 0.7037392138063279} |
| 0.0474 | 304.0 | 20368 | 2.2003 | {'f1': 0.8149100257069408} | {'accuracy': 0.7238734419942474} |
| 0.0474 | 305.0 | 20435 | 2.6404 | {'f1': 0.807667731629393} | {'accuracy': 0.7114093959731543} |
| 0.0324 | 306.0 | 20502 | 2.7714 | {'f1': 0.8075235109717868} | {'accuracy': 0.7056567593480345} |
| 0.0324 | 307.0 | 20569 | 1.7257 | {'f1': 0.8030592734225622} | {'accuracy': 0.7037392138063279} |
| 0.0324 | 308.0 | 20636 | 2.6082 | {'f1': 0.8185758513931888} | {'accuracy': 0.7190795781399808} |
| 0.0324 | 309.0 | 20703 | 2.1809 | {'f1': 0.794648829431438} | {'accuracy': 0.7056567593480345} |
| 0.0324 | 310.0 | 20770 | 2.9476 | {'f1': 0.816403785488959} | {'accuracy': 0.7209971236816874} |
| 0.0324 | 311.0 | 20837 | 2.7923 | {'f1': 0.8253195374315277} | {'accuracy': 0.7248322147651006} |
| 0.0324 | 312.0 | 20904 | 2.2389 | {'f1': 0.8131313131313133} | {'accuracy': 0.716203259827421} |
| 0.0324 | 313.0 | 20971 | 1.7982 | {'f1': 0.8032454361054766} | {'accuracy': 0.7209971236816874} |
| 0.0382 | 314.0 | 21038 | 2.6633 | {'f1': 0.8240963855421687} | {'accuracy': 0.7200383509108341} |
| 0.0382 | 315.0 | 21105 | 2.3866 | {'f1': 0.8121137206427689} | {'accuracy': 0.7085330776605945} |
| 0.0382 | 316.0 | 21172 | 2.5053 | {'f1': 0.7994687915006641} | {'accuracy': 0.710450623202301} |
| 0.0382 | 317.0 | 21239 | 2.2207 | {'f1': 0.8101910828025478} | {'accuracy': 0.7142857142857143} |
| 0.0382 | 318.0 | 21306 | 2.7643 | {'f1': 0.8096415327564895} | {'accuracy': 0.7046979865771812} |
| 0.0382 | 319.0 | 21373 | 2.3712 | {'f1': 0.8113564668769717} | {'accuracy': 0.713326941514861} |
| 0.0382 | 320.0 | 21440 | 2.2996 | {'f1': 0.8206388206388205} | {'accuracy': 0.7200383509108341} |
| 0.0418 | 321.0 | 21507 | 2.5491 | {'f1': 0.814451928965095} | {'accuracy': 0.7094918504314478} |
| 0.0418 | 322.0 | 21574 | 2.7706 | {'f1': 0.8107769423558898} | {'accuracy': 0.710450623202301} |
| 0.0418 | 323.0 | 21641 | 2.8649 | {'f1': 0.8020499679692504} | {'accuracy': 0.7037392138063279} |
| 0.0418 | 324.0 | 21708 | 2.6459 | {'f1': 0.8129272840273463} | {'accuracy': 0.7114093959731543} |
| 0.0418 | 325.0 | 21775 | 2.5675 | {'f1': 0.801819363222872} | {'accuracy': 0.7075743048897412} |
| 0.0418 | 326.0 | 21842 | 2.5088 | {'f1': 0.8041504539559015} | {'accuracy': 0.710450623202301} |
| 0.0418 | 327.0 | 21909 | 2.3865 | {'f1': 0.813102119460501} | {'accuracy': 0.7209971236816874} |
| 0.0418 | 328.0 | 21976 | 1.7388 | {'f1': 0.8135593220338984} | {'accuracy': 0.7152444870565676} |
| 0.0409 | 329.0 | 22043 | 2.2660 | {'f1': 0.8120590121872995} | {'accuracy': 0.7190795781399808} |
| 0.0409 | 330.0 | 22110 | 2.1168 | {'f1': 0.8243589743589743} | {'accuracy': 0.7372962607861937} |
| 0.0409 | 331.0 | 22177 | 1.7795 | {'f1': 0.808860759493671} | {'accuracy': 0.710450623202301} |
| 0.0409 | 332.0 | 22244 | 2.4792 | {'f1': 0.8220338983050848} | {'accuracy': 0.7181208053691275} |
| 0.0409 | 333.0 | 22311 | 2.6088 | {'f1': 0.8208232445520581} | {'accuracy': 0.716203259827421} |
| 0.0409 | 334.0 | 22378 | 2.1811 | {'f1': 0.8202044497895369} | {'accuracy': 0.713326941514861} |
| 0.0409 | 335.0 | 22445 | 2.2655 | {'f1': 0.8227383863080685} | {'accuracy': 0.7219558964525408} |
| 0.0527 | 336.0 | 22512 | 2.4099 | {'f1': 0.8207024029574863} | {'accuracy': 0.7209971236816874} |
| 0.0527 | 337.0 | 22579 | 2.3964 | {'f1': 0.8268864933417883} | {'accuracy': 0.738255033557047} |
| 0.0527 | 338.0 | 22646 | 2.4282 | {'f1': 0.8138195777351248} | {'accuracy': 0.7209971236816874} |
| 0.0527 | 339.0 | 22713 | 2.3533 | {'f1': 0.8166449934980494} | {'accuracy': 0.7296260786193672} |
| 0.0527 | 340.0 | 22780 | 2.1900 | {'f1': 0.8077419354838709} | {'accuracy': 0.7142857142857143} |
| 0.0527 | 341.0 | 22847 | 2.4321 | {'f1': 0.8122215149586252} | {'accuracy': 0.7171620325982742} |
| 0.0527 | 342.0 | 22914 | 2.3091 | {'f1': 0.8198757763975155} | {'accuracy': 0.7219558964525408} |
| 0.0527 | 343.0 | 22981 | 2.4390 | {'f1': 0.8176656151419559} | {'accuracy': 0.7229146692233941} |
| 0.0289 | 344.0 | 23048 | 2.5702 | {'f1': 0.8175716900549117} | {'accuracy': 0.713326941514861} |
| 0.0289 | 345.0 | 23115 | 1.9220 | {'f1': 0.8176254589963282} | {'accuracy': 0.7142857142857143} |
| 0.0289 | 346.0 | 23182 | 2.3594 | {'f1': 0.8113329040566645} | {'accuracy': 0.7190795781399808} |
| 0.0289 | 347.0 | 23249 | 2.3536 | {'f1': 0.8052287581699347} | {'accuracy': 0.7142857142857143} |
| 0.0289 | 348.0 | 23316 | 2.2539 | {'f1': 0.8160200250312891} | {'accuracy': 0.7181208053691275} |
| 0.0289 | 349.0 | 23383 | 2.3483 | {'f1': 0.8212974296205632} | {'accuracy': 0.7200383509108341} |
| 0.0289 | 350.0 | 23450 | 1.9325 | {'f1': 0.8212739641311071} | {'accuracy': 0.7229146692233941} |
| 0.0405 | 351.0 | 23517 | 2.4634 | {'f1': 0.8167604752970606} | {'accuracy': 0.7190795781399808} |
| 0.0405 | 352.0 | 23584 | 2.2731 | {'f1': 0.8167475728155339} | {'accuracy': 0.710450623202301} |
| 0.0405 | 353.0 | 23651 | 2.0062 | {'f1': 0.7892976588628762} | {'accuracy': 0.697986577181208} |
| 0.0405 | 354.0 | 23718 | 1.9145 | {'f1': 0.8159392789373814} | {'accuracy': 0.7209971236816874} |
| 0.0405 | 355.0 | 23785 | 2.9562 | {'f1': 0.81375} | {'accuracy': 0.7142857142857143} |
| 0.0405 | 356.0 | 23852 | 2.9342 | {'f1': 0.8124223602484472} | {'accuracy': 0.710450623202301} |
| 0.0405 | 357.0 | 23919 | 2.5976 | {'f1': 0.8152866242038218} | {'accuracy': 0.7219558964525408} |
| 0.0405 | 358.0 | 23986 | 1.6304 | {'f1': 0.7869071476285905} | {'accuracy': 0.6941514860977949} |
| 0.0457 | 359.0 | 24053 | 2.1675 | {'f1': 0.8139682539682539} | {'accuracy': 0.7190795781399808} |
| 0.0457 | 360.0 | 24120 | 1.7896 | {'f1': 0.806679511881824} | {'accuracy': 0.7114093959731543} |
| 0.0457 | 361.0 | 24187 | 2.2589 | {'f1': 0.8126582278481014} | {'accuracy': 0.716203259827421} |
| 0.0457 | 362.0 | 24254 | 1.9431 | {'f1': 0.8046124279308136} | {'accuracy': 0.7075743048897412} |
| 0.0457 | 363.0 | 24321 | 2.3498 | {'f1': 0.8158236057068741} | {'accuracy': 0.7277085330776606} |
| 0.0457 | 364.0 | 24388 | 2.5436 | {'f1': 0.8210262828535669} | {'accuracy': 0.725790987535954} |
| 0.0457 | 365.0 | 24455 | 1.9622 | {'f1': 0.8308065494238933} | {'accuracy': 0.7325023969319271} |
| 0.0452 | 366.0 | 24522 | 1.6269 | {'f1': 0.8160843770599867} | {'accuracy': 0.7325023969319271} |
| 0.0452 | 367.0 | 24589 | 2.1990 | {'f1': 0.8069722401549386} | {'accuracy': 0.713326941514861} |
| 0.0452 | 368.0 | 24656 | 2.4314 | {'f1': 0.8012618296529969} | {'accuracy': 0.697986577181208} |
| 0.0452 | 369.0 | 24723 | 2.0470 | {'f1': 0.8100313479623824} | {'accuracy': 0.7094918504314478} |
| 0.0452 | 370.0 | 24790 | 1.7554 | {'f1': 0.8146311221326721} | {'accuracy': 0.713326941514861} |
| 0.0452 | 371.0 | 24857 | 2.1574 | {'f1': 0.8109452736318408} | {'accuracy': 0.7085330776605945} |
| 0.0452 | 372.0 | 24924 | 2.2657 | {'f1': 0.8231780167264038} | {'accuracy': 0.716203259827421} |
| 0.0452 | 373.0 | 24991 | 2.3055 | {'f1': 0.8071693448702103} | {'accuracy': 0.700862895493768} |
| 0.0914 | 374.0 | 25058 | 2.3216 | {'f1': 0.8025974025974024} | {'accuracy': 0.7085330776605945} |
| 0.0914 | 375.0 | 25125 | 2.2130 | {'f1': 0.7994808565866321} | {'accuracy': 0.7037392138063279} |
| 0.0914 | 376.0 | 25192 | 2.2914 | {'f1': 0.8099934253780406} | {'accuracy': 0.7229146692233941} |
| 0.0914 | 377.0 | 25259 | 2.5699 | {'f1': 0.8206083178150217} | {'accuracy': 0.7229146692233941} |
| 0.0914 | 378.0 | 25326 | 1.9869 | {'f1': 0.8013071895424836} | {'accuracy': 0.7085330776605945} |
| 0.0914 | 379.0 | 25393 | 2.1948 | {'f1': 0.8162230671736376} | {'accuracy': 0.7219558964525408} |
| 0.0914 | 380.0 | 25460 | 2.1536 | {'f1': 0.810223642172524} | {'accuracy': 0.7152444870565676} |
| 0.0395 | 381.0 | 25527 | 2.3973 | {'f1': 0.8211432083589428} | {'accuracy': 0.7209971236816874} |
| 0.0395 | 382.0 | 25594 | 2.1912 | {'f1': 0.8254364089775562} | {'accuracy': 0.7315436241610739} |
| 0.0395 | 383.0 | 25661 | 2.1772 | {'f1': 0.8290282902829028} | {'accuracy': 0.7334611697027804} |
| 0.0395 | 384.0 | 25728 | 2.4328 | {'f1': 0.8181818181818182} | {'accuracy': 0.7238734419942474} |
| 0.0395 | 385.0 | 25795 | 2.5761 | {'f1': 0.8173374613003097} | {'accuracy': 0.7171620325982742} |
| 0.0395 | 386.0 | 25862 | 2.6663 | {'f1': 0.8079132099553288} | {'accuracy': 0.7114093959731543} |
| 0.0395 | 387.0 | 25929 | 2.2974 | {'f1': 0.8219674109837054} | {'accuracy': 0.7171620325982742} |
| 0.0395 | 388.0 | 25996 | 2.4381 | {'f1': 0.7986798679867987} | {'accuracy': 0.7075743048897412} |
| 0.024 | 389.0 | 26063 | 2.5959 | {'f1': 0.8231780167264038} | {'accuracy': 0.716203259827421} |
| 0.024 | 390.0 | 26130 | 2.7005 | {'f1': 0.8264563106796117} | {'accuracy': 0.725790987535954} |
| 0.024 | 391.0 | 26197 | 2.5189 | {'f1': 0.8240190249702736} | {'accuracy': 0.716203259827421} |
| 0.024 | 392.0 | 26264 | 2.6093 | {'f1': 0.8107074569789675} | {'accuracy': 0.7152444870565676} |
| 0.024 | 393.0 | 26331 | 2.3561 | {'f1': 0.8181246066708623} | {'accuracy': 0.7229146692233941} |
| 0.024 | 394.0 | 26398 | 2.2714 | {'f1': 0.8104412678682411} | {'accuracy': 0.7075743048897412} |
| 0.024 | 395.0 | 26465 | 2.1117 | {'f1': 0.8092557848655411} | {'accuracy': 0.7075743048897412} |
| 0.0367 | 396.0 | 26532 | 2.4974 | {'f1': 0.8220640569395018} | {'accuracy': 0.7123681687440077} |
| 0.0367 | 397.0 | 26599 | 1.9040 | {'f1': 0.8174554394591272} | {'accuracy': 0.7152444870565676} |
| 0.0367 | 398.0 | 26666 | 1.5585 | {'f1': 0.8066006600660067} | {'accuracy': 0.7190795781399808} |
| 0.0367 | 399.0 | 26733 | 1.9950 | {'f1': 0.8253776435045317} | {'accuracy': 0.7229146692233941} |
| 0.0367 | 400.0 | 26800 | 1.9111 | {'f1': 0.8234575442883324} | {'accuracy': 0.7229146692233941} |
| 0.0367 | 401.0 | 26867 | 1.4995 | {'f1': 0.823529411764706} | {'accuracy': 0.7209971236816874} |
| 0.0367 | 402.0 | 26934 | 2.1345 | {'f1': 0.8226691042047533} | {'accuracy': 0.7209971236816874} |
| 0.0646 | 403.0 | 27001 | 1.7191 | {'f1': 0.8225214198286412} | {'accuracy': 0.7219558964525408} |
| 0.0646 | 404.0 | 27068 | 2.0604 | {'f1': 0.8211678832116789} | {'accuracy': 0.7181208053691275} |
| 0.0646 | 405.0 | 27135 | 2.0836 | {'f1': 0.8091982597886886} | {'accuracy': 0.7056567593480345} |
| 0.0646 | 406.0 | 27202 | 1.9948 | {'f1': 0.8183990442054957} | {'accuracy': 0.7085330776605945} |
| 0.0646 | 407.0 | 27269 | 1.8891 | {'f1': 0.8133848133848134} | {'accuracy': 0.7219558964525408} |
| 0.0646 | 408.0 | 27336 | 2.0439 | {'f1': 0.81408276714021} | {'accuracy': 0.7114093959731543} |
| 0.0646 | 409.0 | 27403 | 2.0130 | {'f1': 0.818407960199005} | {'accuracy': 0.7200383509108341} |
| 0.0646 | 410.0 | 27470 | 2.1755 | {'f1': 0.8202933985330072} | {'accuracy': 0.7181208053691275} |
| 0.0431 | 411.0 | 27537 | 2.4976 | {'f1': 0.8138265615524559} | {'accuracy': 0.7056567593480345} |
| 0.0431 | 412.0 | 27604 | 2.4375 | {'f1': 0.8181276088252833} | {'accuracy': 0.7075743048897412} |
| 0.0431 | 413.0 | 27671 | 2.2452 | {'f1': 0.8152309612983771} | {'accuracy': 0.716203259827421} |
| 0.0431 | 414.0 | 27738 | 1.9194 | {'f1': 0.8153180975911056} | {'accuracy': 0.713326941514861} |
| 0.0431 | 415.0 | 27805 | 1.8687 | {'f1': 0.8175797712221553} | {'accuracy': 0.7094918504314478} |
| 0.0431 | 416.0 | 27872 | 1.9813 | {'f1': 0.8098859315589353} | {'accuracy': 0.7123681687440077} |
| 0.0431 | 417.0 | 27939 | 2.2467 | {'f1': 0.8194945848375452} | {'accuracy': 0.7123681687440077} |
| 0.0511 | 418.0 | 28006 | 2.2551 | {'f1': 0.7979207277452891} | {'accuracy': 0.7018216682646213} |
| 0.0511 | 419.0 | 28073 | 2.5472 | {'f1': 0.8175270108043217} | {'accuracy': 0.7085330776605945} |
| 0.0511 | 420.0 | 28140 | 2.4943 | {'f1': 0.8122270742358079} | {'accuracy': 0.7114093959731543} |
| 0.0511 | 421.0 | 28207 | 2.3186 | {'f1': 0.8051787916152899} | {'accuracy': 0.6970278044103547} |
| 0.0511 | 422.0 | 28274 | 1.6622 | {'f1': 0.818505338078292} | {'accuracy': 0.7066155321188878} |
| 0.0511 | 423.0 | 28341 | 1.6588 | {'f1': 0.8065948002536462} | {'accuracy': 0.7075743048897412} |
| 0.0511 | 424.0 | 28408 | 1.8815 | {'f1': 0.8159203980099502} | {'accuracy': 0.716203259827421} |
| 0.0511 | 425.0 | 28475 | 2.6952 | {'f1': 0.8204826368452031} | {'accuracy': 0.7075743048897412} |
| 0.0442 | 426.0 | 28542 | 2.2629 | {'f1': 0.7834912043301759} | {'accuracy': 0.6931927133269415} |
| 0.0442 | 427.0 | 28609 | 2.4604 | {'f1': 0.8113207547169811} | {'accuracy': 0.7123681687440077} |
| 0.0442 | 428.0 | 28676 | 2.4236 | {'f1': 0.8120300751879699} | {'accuracy': 0.7123681687440077} |
| 0.0442 | 429.0 | 28743 | 2.3787 | {'f1': 0.8069522036002483} | {'accuracy': 0.7018216682646213} |
| 0.0442 | 430.0 | 28810 | 2.6287 | {'f1': 0.8048010107391032} | {'accuracy': 0.7037392138063279} |
| 0.0442 | 431.0 | 28877 | 2.8007 | {'f1': 0.8099378881987577} | {'accuracy': 0.7066155321188878} |
| 0.0442 | 432.0 | 28944 | 2.0701 | {'f1': 0.8114355231143553} | {'accuracy': 0.7027804410354745} |
| 0.0386 | 433.0 | 29011 | 2.3022 | {'f1': 0.818734793187348} | {'accuracy': 0.7142857142857143} |
| 0.0386 | 434.0 | 29078 | 2.3692 | {'f1': 0.8183464091732044} | {'accuracy': 0.7114093959731543} |
| 0.0386 | 435.0 | 29145 | 1.9739 | {'f1': 0.7915006640106242} | {'accuracy': 0.6989453499520614} |
| 0.0386 | 436.0 | 29212 | 2.6539 | {'f1': 0.8201438848920862} | {'accuracy': 0.7123681687440077} |
| 0.0386 | 437.0 | 29279 | 2.0914 | {'f1': 0.8189349112426034} | {'accuracy': 0.7066155321188878} |
| 0.0386 | 438.0 | 29346 | 1.6843 | {'f1': 0.8028442146089204} | {'accuracy': 0.7075743048897412} |
| 0.0386 | 439.0 | 29413 | 2.3401 | {'f1': 0.8071979434447301} | {'accuracy': 0.7123681687440077} |
| 0.0386 | 440.0 | 29480 | 2.0851 | {'f1': 0.798439531859558} | {'accuracy': 0.7027804410354745} |
| 0.0499 | 441.0 | 29547 | 2.4879 | {'f1': 0.8068833652007648} | {'accuracy': 0.7094918504314478} |
| 0.0499 | 442.0 | 29614 | 2.2249 | {'f1': 0.8091312618896639} | {'accuracy': 0.7114093959731543} |
| 0.0499 | 443.0 | 29681 | 2.1213 | {'f1': 0.8156626506024097} | {'accuracy': 0.7066155321188878} |
| 0.0499 | 444.0 | 29748 | 1.8230 | {'f1': 0.8075471698113207} | {'accuracy': 0.7066155321188878} |
| 0.0499 | 445.0 | 29815 | 1.8171 | {'f1': 0.8083538083538083} | {'accuracy': 0.700862895493768} |
| 0.0499 | 446.0 | 29882 | 2.4010 | {'f1': 0.804032766225583} | {'accuracy': 0.7018216682646213} |
| 0.0499 | 447.0 | 29949 | 2.3025 | {'f1': 0.8109422492401216} | {'accuracy': 0.7018216682646213} |
| 0.0467 | 448.0 | 30016 | 2.2767 | {'f1': 0.8002594033722438} | {'accuracy': 0.7046979865771812} |
| 0.0467 | 449.0 | 30083 | 2.3837 | {'f1': 0.8098461538461539} | {'accuracy': 0.7037392138063279} |
| 0.0467 | 450.0 | 30150 | 2.3366 | {'f1': 0.79155672823219} | {'accuracy': 0.6970278044103547} |
| 0.0467 | 451.0 | 30217 | 2.5564 | {'f1': 0.8084054388133497} | {'accuracy': 0.7027804410354745} |
| 0.0467 | 452.0 | 30284 | 2.8377 | {'f1': 0.7928616953473551} | {'accuracy': 0.6883988494726749} |
| 0.0467 | 453.0 | 30351 | 2.6419 | {'f1': 0.7974603174603174} | {'accuracy': 0.6941514860977949} |
| 0.0467 | 454.0 | 30418 | 2.2656 | {'f1': 0.8121890547263683} | {'accuracy': 0.710450623202301} |
| 0.0467 | 455.0 | 30485 | 2.4709 | {'f1': 0.8117001828153565} | {'accuracy': 0.7037392138063279} |
| 0.0359 | 456.0 | 30552 | 2.3638 | {'f1': 0.8032890575585073} | {'accuracy': 0.7018216682646213} |
| 0.0359 | 457.0 | 30619 | 2.7646 | {'f1': 0.8050473186119874} | {'accuracy': 0.7037392138063279} |
| 0.0359 | 458.0 | 30686 | 2.6722 | {'f1': 0.8128872366790583} | {'accuracy': 0.710450623202301} |
| 0.0359 | 459.0 | 30753 | 2.5933 | {'f1': 0.7979274611398963} | {'accuracy': 0.700862895493768} |
| 0.0359 | 460.0 | 30820 | 2.7543 | {'f1': 0.7897106109324757} | {'accuracy': 0.6864813039309684} |
| 0.0359 | 461.0 | 30887 | 2.9402 | {'f1': 0.7989886219974714} | {'accuracy': 0.6951102588686481} |
| 0.0359 | 462.0 | 30954 | 2.8300 | {'f1': 0.8048624440179143} | {'accuracy': 0.7075743048897412} |
| 0.0132 | 463.0 | 31021 | 3.0932 | {'f1': 0.8148591971240263} | {'accuracy': 0.7037392138063279} |
| 0.0132 | 464.0 | 31088 | 2.5593 | {'f1': 0.8095838587641866} | {'accuracy': 0.710450623202301} |
| 0.0132 | 465.0 | 31155 | 2.5467 | {'f1': 0.8194103194103194} | {'accuracy': 0.7181208053691275} |
| 0.0132 | 466.0 | 31222 | 2.2788 | {'f1': 0.8134146341463414} | {'accuracy': 0.7066155321188878} |
| 0.0132 | 467.0 | 31289 | 2.0336 | {'f1': 0.8010139416983524} | {'accuracy': 0.6989453499520614} |
| 0.0132 | 468.0 | 31356 | 2.5556 | {'f1': 0.8223844282238443} | {'accuracy': 0.7200383509108341} |
| 0.0132 | 469.0 | 31423 | 2.4964 | {'f1': 0.8109452736318408} | {'accuracy': 0.7085330776605945} |
| 0.0132 | 470.0 | 31490 | 2.2595 | {'f1': 0.8194038573933372} | {'accuracy': 0.7037392138063279} |
| 0.0382 | 471.0 | 31557 | 2.5274 | {'f1': 0.8084840923268871} | {'accuracy': 0.7056567593480345} |
| 0.0382 | 472.0 | 31624 | 2.2212 | {'f1': 0.7900262467191601} | {'accuracy': 0.6931927133269415} |
| 0.0382 | 473.0 | 31691 | 2.1180 | {'f1': 0.8042131350681536} | {'accuracy': 0.6970278044103547} |
| 0.0382 | 474.0 | 31758 | 2.0381 | {'f1': 0.8032078963602715} | {'accuracy': 0.6941514860977949} |
| 0.0382 | 475.0 | 31825 | 2.0838 | {'f1': 0.792884371029225} | {'accuracy': 0.6874400767018217} |
| 0.0382 | 476.0 | 31892 | 2.3084 | {'f1': 0.7821380243572394} | {'accuracy': 0.6912751677852349} |
| 0.0382 | 477.0 | 31959 | 1.7853 | {'f1': 0.8081431215299197} | {'accuracy': 0.7018216682646213} |
| 0.0599 | 478.0 | 32026 | 1.9570 | {'f1': 0.813664596273292} | {'accuracy': 0.7123681687440077} |
| 0.0599 | 479.0 | 32093 | 1.5326 | {'f1': 0.7922077922077921} | {'accuracy': 0.6931927133269415} |
| 0.0599 | 480.0 | 32160 | 2.1677 | {'f1': 0.8061919504643963} | {'accuracy': 0.6999041227229147} |
| 0.0599 | 481.0 | 32227 | 2.1801 | {'f1': 0.8120024494794856} | {'accuracy': 0.7056567593480345} |
| 0.0599 | 482.0 | 32294 | 2.3462 | {'f1': 0.7946084724005135} | {'accuracy': 0.6931927133269415} |
| 0.0599 | 483.0 | 32361 | 2.1676 | {'f1': 0.8105134474327629} | {'accuracy': 0.7027804410354745} |
| 0.0599 | 484.0 | 32428 | 2.5977 | {'f1': 0.8122009569377991} | {'accuracy': 0.6989453499520614} |
| 0.0599 | 485.0 | 32495 | 2.1667 | {'f1': 0.7940606843124596} | {'accuracy': 0.6941514860977949} |
| 0.0537 | 486.0 | 32562 | 2.1769 | {'f1': 0.8059332509270706} | {'accuracy': 0.6989453499520614} |
| 0.0537 | 487.0 | 32629 | 2.5492 | {'f1': 0.8170878459687124} | {'accuracy': 0.7085330776605945} |
| 0.0537 | 488.0 | 32696 | 1.7762 | {'f1': 0.8200734394124847} | {'accuracy': 0.7181208053691275} |
| 0.0537 | 489.0 | 32763 | 2.1828 | {'f1': 0.8159806295399515} | {'accuracy': 0.7085330776605945} |
| 0.0537 | 490.0 | 32830 | 1.9588 | {'f1': 0.8112058465286237} | {'accuracy': 0.7027804410354745} |
| 0.0537 | 491.0 | 32897 | 2.3288 | {'f1': 0.8082966687617851} | {'accuracy': 0.7075743048897412} |
| 0.0537 | 492.0 | 32964 | 1.9554 | {'f1': 0.8090169067000627} | {'accuracy': 0.7075743048897412} |
| 0.0471 | 493.0 | 33031 | 2.1079 | {'f1': 0.795275590551181} | {'accuracy': 0.700862895493768} |
| 0.0471 | 494.0 | 33098 | 2.3960 | {'f1': 0.8101109741060419} | {'accuracy': 0.7046979865771812} |
| 0.0471 | 495.0 | 33165 | 2.4487 | {'f1': 0.8075980392156863} | {'accuracy': 0.6989453499520614} |
| 0.0471 | 496.0 | 33232 | 2.0555 | {'f1': 0.8035153797865663} | {'accuracy': 0.6999041227229147} |
| 0.0471 | 497.0 | 33299 | 2.3137 | {'f1': 0.820726622989875} | {'accuracy': 0.7114093959731543} |
| 0.0471 | 498.0 | 33366 | 2.2627 | {'f1': 0.8139109212934718} | {'accuracy': 0.7075743048897412} |
| 0.0471 | 499.0 | 33433 | 2.3648 | {'f1': 0.8103666245259167} | {'accuracy': 0.7123681687440077} |
| 0.037 | 500.0 | 33500 | 2.2585 | {'f1': 0.8097014925373134} | {'accuracy': 0.7066155321188878} |
| 0.037 | 501.0 | 33567 | 2.5414 | {'f1': 0.8043065231158961} | {'accuracy': 0.7037392138063279} |
| 0.037 | 502.0 | 33634 | 2.0504 | {'f1': 0.7771812080536912} | {'accuracy': 0.6816874400767018} |
| 0.037 | 503.0 | 33701 | 2.3979 | {'f1': 0.7771812080536912} | {'accuracy': 0.6816874400767018} |
| 0.037 | 504.0 | 33768 | 2.3181 | {'f1': 0.8092848180677541} | {'accuracy': 0.7085330776605945} |
| 0.037 | 505.0 | 33835 | 2.3441 | {'f1': 0.8117001828153565} | {'accuracy': 0.7037392138063279} |
| 0.037 | 506.0 | 33902 | 2.3099 | {'f1': 0.7910543130990415} | {'accuracy': 0.6864813039309684} |
| 0.037 | 507.0 | 33969 | 2.1127 | {'f1': 0.8188494492044064} | {'accuracy': 0.716203259827421} |
| 0.0451 | 508.0 | 34036 | 1.9561 | {'f1': 0.795514511873351} | {'accuracy': 0.7027804410354745} |
| 0.0451 | 509.0 | 34103 | 2.5913 | {'f1': 0.8097859327217125} | {'accuracy': 0.7018216682646213} |
| 0.0451 | 510.0 | 34170 | 2.6783 | {'f1': 0.8090024330900243} | {'accuracy': 0.6989453499520614} |
| 0.0451 | 511.0 | 34237 | 2.3005 | {'f1': 0.7969446212603437} | {'accuracy': 0.6941514860977949} |
| 0.0451 | 512.0 | 34304 | 2.4023 | {'f1': 0.7933461292386437} | {'accuracy': 0.6903163950143816} |
| 0.0451 | 513.0 | 34371 | 2.6818 | {'f1': 0.8095238095238095} | {'accuracy': 0.700862895493768} |
| 0.0451 | 514.0 | 34438 | 2.1933 | {'f1': 0.8079132099553288} | {'accuracy': 0.7114093959731543} |
| 0.0393 | 515.0 | 34505 | 2.6690 | {'f1': 0.8058191018342822} | {'accuracy': 0.7056567593480345} |
| 0.0393 | 516.0 | 34572 | 2.3618 | {'f1': 0.8068251066422912} | {'accuracy': 0.6960690316395014} |
| 0.0393 | 517.0 | 34639 | 2.8743 | {'f1': 0.8103864734299516} | {'accuracy': 0.6989453499520614} |
| 0.0393 | 518.0 | 34706 | 2.9690 | {'f1': 0.8058787507654622} | {'accuracy': 0.6960690316395014} |
| 0.0393 | 519.0 | 34773 | 2.3748 | {'f1': 0.8031088082901554} | {'accuracy': 0.7085330776605945} |
| 0.0393 | 520.0 | 34840 | 2.2713 | {'f1': 0.8125786163522014} | {'accuracy': 0.7142857142857143} |
| 0.0393 | 521.0 | 34907 | 2.6104 | {'f1': 0.8195718654434251} | {'accuracy': 0.7171620325982742} |
| 0.0393 | 522.0 | 34974 | 2.0309 | {'f1': 0.8090737240075614} | {'accuracy': 0.7094918504314478} |
| 0.0238 | 523.0 | 35041 | 2.2192 | {'f1': 0.8153266331658292} | {'accuracy': 0.7181208053691275} |
| 0.0238 | 524.0 | 35108 | 2.4821 | {'f1': 0.8149532710280374} | {'accuracy': 0.7152444870565676} |
| 0.0238 | 525.0 | 35175 | 2.8744 | {'f1': 0.799493991144845} | {'accuracy': 0.6960690316395014} |
| 0.0238 | 526.0 | 35242 | 2.1730 | {'f1': 0.8149969268592502} | {'accuracy': 0.7114093959731543} |
| 0.0238 | 527.0 | 35309 | 2.2129 | {'f1': 0.8200371057513913} | {'accuracy': 0.7209971236816874} |
| 0.0238 | 528.0 | 35376 | 2.1640 | {'f1': 0.8076923076923077} | {'accuracy': 0.7027804410354745} |
| 0.0238 | 529.0 | 35443 | 2.3380 | {'f1': 0.7937743190661478} | {'accuracy': 0.6951102588686481} |
| 0.039 | 530.0 | 35510 | 1.7860 | {'f1': 0.8160493827160494} | {'accuracy': 0.7142857142857143} |
| 0.039 | 531.0 | 35577 | 2.2993 | {'f1': 0.8109756097560975} | {'accuracy': 0.7027804410354745} |
| 0.039 | 532.0 | 35644 | 2.5410 | {'f1': 0.7942708333333334} | {'accuracy': 0.6970278044103547} |
| 0.039 | 533.0 | 35711 | 2.3915 | {'f1': 0.7966211825860949} | {'accuracy': 0.6999041227229147} |
| 0.039 | 534.0 | 35778 | 2.6411 | {'f1': 0.8033526756931012} | {'accuracy': 0.7075743048897412} |
| 0.039 | 535.0 | 35845 | 2.2428 | {'f1': 0.8173374613003097} | {'accuracy': 0.7171620325982742} |
| 0.039 | 536.0 | 35912 | 2.1045 | {'f1': 0.8107098381070984} | {'accuracy': 0.7085330776605945} |
| 0.039 | 537.0 | 35979 | 1.8005 | {'f1': 0.8150991682661549} | {'accuracy': 0.7229146692233941} |
| 0.0568 | 538.0 | 36046 | 1.6370 | {'f1': 0.8010335917312661} | {'accuracy': 0.7046979865771812} |
| 0.0568 | 539.0 | 36113 | 1.5732 | {'f1': 0.8131595282433273} | {'accuracy': 0.7114093959731543} |
| 0.0568 | 540.0 | 36180 | 2.0270 | {'f1': 0.8089330024813897} | {'accuracy': 0.7046979865771812} |
| 0.0568 | 541.0 | 36247 | 1.8452 | {'f1': 0.8059149722735675} | {'accuracy': 0.697986577181208} |
| 0.0568 | 542.0 | 36314 | 1.8483 | {'f1': 0.8175716900549117} | {'accuracy': 0.713326941514861} |
| 0.0568 | 543.0 | 36381 | 1.8150 | {'f1': 0.8097928436911487} | {'accuracy': 0.7094918504314478} |
| 0.0568 | 544.0 | 36448 | 2.2707 | {'f1': 0.8103448275862069} | {'accuracy': 0.7046979865771812} |
| 0.0695 | 545.0 | 36515 | 2.1661 | {'f1': 0.8074534161490684} | {'accuracy': 0.7027804410354745} |
| 0.0695 | 546.0 | 36582 | 2.2092 | {'f1': 0.8116646415552856} | {'accuracy': 0.7027804410354745} |
| 0.0695 | 547.0 | 36649 | 2.4352 | {'f1': 0.8118811881188118} | {'accuracy': 0.7085330776605945} |
| 0.0695 | 548.0 | 36716 | 2.4322 | {'f1': 0.8132530120481928} | {'accuracy': 0.7027804410354745} |
| 0.0695 | 549.0 | 36783 | 2.4683 | {'f1': 0.8020434227330779} | {'accuracy': 0.7027804410354745} |
| 0.0695 | 550.0 | 36850 | 2.5210 | {'f1': 0.8160779537149817} | {'accuracy': 0.710450623202301} |
| 0.0695 | 551.0 | 36917 | 2.3124 | {'f1': 0.8137254901960785} | {'accuracy': 0.7085330776605945} |
| 0.0695 | 552.0 | 36984 | 2.4882 | {'f1': 0.8118811881188118} | {'accuracy': 0.7085330776605945} |
| 0.0361 | 553.0 | 37051 | 2.4595 | {'f1': 0.8191616766467065} | {'accuracy': 0.710450623202301} |
| 0.0361 | 554.0 | 37118 | 2.5541 | {'f1': 0.7876844130853111} | {'accuracy': 0.6826462128475551} |
| 0.0361 | 555.0 | 37185 | 2.5945 | {'f1': 0.8034717916924985} | {'accuracy': 0.6960690316395014} |
| 0.0361 | 556.0 | 37252 | 2.5673 | {'f1': 0.788339670468948} | {'accuracy': 0.6797698945349953} |
| 0.0361 | 557.0 | 37319 | 2.1672 | {'f1': 0.8191616766467065} | {'accuracy': 0.710450623202301} |
| 0.0361 | 558.0 | 37386 | 2.7027 | {'f1': 0.813953488372093} | {'accuracy': 0.7085330776605945} |
| 0.0361 | 559.0 | 37453 | 2.3369 | {'f1': 0.7664184157075152} | {'accuracy': 0.6692233940556088} |
| 0.0436 | 560.0 | 37520 | 2.6217 | {'f1': 0.8177458033573142} | {'accuracy': 0.7085330776605945} |
| 0.0436 | 561.0 | 37587 | 2.2838 | {'f1': 0.793233082706767} | {'accuracy': 0.6836049856184084} |
| 0.0436 | 562.0 | 37654 | 1.5427 | {'f1': 0.8081683168316832} | {'accuracy': 0.7027804410354745} |
| 0.0436 | 563.0 | 37721 | 2.1033 | {'f1': 0.819277108433735} | {'accuracy': 0.7123681687440077} |
| 0.0436 | 564.0 | 37788 | 1.9698 | {'f1': 0.8040455120101138} | {'accuracy': 0.7027804410354745} |
| 0.0436 | 565.0 | 37855 | 2.2723 | {'f1': 0.8101109741060419} | {'accuracy': 0.7046979865771812} |
| 0.0436 | 566.0 | 37922 | 2.5385 | {'f1': 0.80306905370844} | {'accuracy': 0.7046979865771812} |
| 0.0436 | 567.0 | 37989 | 2.5538 | {'f1': 0.8231046931407942} | {'accuracy': 0.7181208053691275} |
| 0.0461 | 568.0 | 38056 | 2.4827 | {'f1': 0.8141486810551558} | {'accuracy': 0.7027804410354745} |
| 0.0461 | 569.0 | 38123 | 2.3785 | {'f1': 0.7999999999999999} | {'accuracy': 0.6951102588686481} |
| 0.0461 | 570.0 | 38190 | 2.7981 | {'f1': 0.8029832193909261} | {'accuracy': 0.6960690316395014} |
| 0.0461 | 571.0 | 38257 | 2.1357 | {'f1': 0.8118081180811809} | {'accuracy': 0.7066155321188878} |
| 0.0461 | 572.0 | 38324 | 2.7900 | {'f1': 0.8149969268592502} | {'accuracy': 0.7114093959731543} |
| 0.0461 | 573.0 | 38391 | 2.8126 | {'f1': 0.815884476534296} | {'accuracy': 0.7066155321188878} |
| 0.0461 | 574.0 | 38458 | 2.5137 | {'f1': 0.7868852459016393} | {'accuracy': 0.6883988494726749} |
| 0.0366 | 575.0 | 38525 | 2.4885 | {'f1': 0.8122699386503068} | {'accuracy': 0.7066155321188878} |
| 0.0366 | 576.0 | 38592 | 3.0395 | {'f1': 0.813027744270205} | {'accuracy': 0.7027804410354745} |
| 0.0366 | 577.0 | 38659 | 2.0957 | {'f1': 0.8171912832929782} | {'accuracy': 0.710450623202301} |
| 0.0366 | 578.0 | 38726 | 2.5584 | {'f1': 0.8127294981640146} | {'accuracy': 0.7066155321188878} |
| 0.0366 | 579.0 | 38793 | 2.5713 | {'f1': 0.8022670025188916} | {'accuracy': 0.6989453499520614} |
| 0.0366 | 580.0 | 38860 | 2.5069 | {'f1': 0.7982120051085568} | {'accuracy': 0.6970278044103547} |
| 0.0366 | 581.0 | 38927 | 2.1142 | {'f1': 0.7951188182402056} | {'accuracy': 0.6941514860977949} |
| 0.0366 | 582.0 | 38994 | 2.3526 | {'f1': 0.8133738601823709} | {'accuracy': 0.7056567593480345} |
| 0.0236 | 583.0 | 39061 | 2.7165 | {'f1': 0.8095808383233534} | {'accuracy': 0.6951102588686481} |
| 0.0236 | 584.0 | 39128 | 2.8171 | {'f1': 0.8122699386503068} | {'accuracy': 0.7066155321188878} |
| 0.0236 | 585.0 | 39195 | 2.3883 | {'f1': 0.8121951219512195} | {'accuracy': 0.7046979865771812} |
| 0.0236 | 586.0 | 39262 | 2.9680 | {'f1': 0.8142770719903207} | {'accuracy': 0.7056567593480345} |
| 0.0236 | 587.0 | 39329 | 3.0047 | {'f1': 0.8142857142857143} | {'accuracy': 0.700862895493768} |
| 0.0236 | 588.0 | 39396 | 2.2553 | {'f1': 0.8055207026348808} | {'accuracy': 0.7027804410354745} |
| 0.0236 | 589.0 | 39463 | 1.8848 | {'f1': 0.8010302640051513} | {'accuracy': 0.7037392138063279} |
| 0.0346 | 590.0 | 39530 | 2.0637 | {'f1': 0.8099378881987577} | {'accuracy': 0.7066155321188878} |
| 0.0346 | 591.0 | 39597 | 2.6572 | {'f1': 0.7979861548143485} | {'accuracy': 0.6922339405560882} |
| 0.0346 | 592.0 | 39664 | 2.6002 | {'f1': 0.8128872366790583} | {'accuracy': 0.710450623202301} |
| 0.0346 | 593.0 | 39731 | 2.4840 | {'f1': 0.798464491362764} | {'accuracy': 0.697986577181208} |
| 0.0346 | 594.0 | 39798 | 2.3541 | {'f1': 0.7810266406757634} | {'accuracy': 0.6768935762224353} |
| 0.0346 | 595.0 | 39865 | 2.4791 | {'f1': 0.7984790874524715} | {'accuracy': 0.6951102588686481} |
| 0.0346 | 596.0 | 39932 | 2.5061 | {'f1': 0.8115055079559363} | {'accuracy': 0.7046979865771812} |
| 0.0346 | 597.0 | 39999 | 2.2753 | {'f1': 0.8094660194174759} | {'accuracy': 0.6989453499520614} |
| 0.0301 | 598.0 | 40066 | 2.3966 | {'f1': 0.8163265306122448} | {'accuracy': 0.7066155321188878} |
| 0.0301 | 599.0 | 40133 | 2.4493 | {'f1': 0.8221436984687868} | {'accuracy': 0.710450623202301} |
| 0.0301 | 600.0 | 40200 | 2.5670 | {'f1': 0.8007566204287516} | {'accuracy': 0.6970278044103547} |
| 0.0301 | 601.0 | 40267 | 2.0944 | {'f1': 0.8043202033036849} | {'accuracy': 0.7046979865771812} |
| 0.0301 | 602.0 | 40334 | 1.9693 | {'f1': 0.806471686372122} | {'accuracy': 0.7018216682646213} |
| 0.0301 | 603.0 | 40401 | 2.2490 | {'f1': 0.8053265694356374} | {'accuracy': 0.7056567593480345} |
| 0.0301 | 604.0 | 40468 | 2.2227 | {'f1': 0.7898832684824902} | {'accuracy': 0.6893576222435283} |
| 0.0499 | 605.0 | 40535 | 2.4054 | {'f1': 0.781925343811395} | {'accuracy': 0.6807286673058485} |
| 0.0499 | 606.0 | 40602 | 2.5979 | {'f1': 0.7943805874840357} | {'accuracy': 0.6912751677852349} |
| 0.0499 | 607.0 | 40669 | 2.0921 | {'f1': 0.8034398034398035} | {'accuracy': 0.6931927133269415} |
| 0.0499 | 608.0 | 40736 | 2.4372 | {'f1': 0.8037267080745342} | {'accuracy': 0.6970278044103547} |
| 0.0499 | 609.0 | 40803 | 2.3465 | {'f1': 0.8128140703517588} | {'accuracy': 0.7142857142857143} |
| 0.0499 | 610.0 | 40870 | 2.4975 | {'f1': 0.8191489361702128} | {'accuracy': 0.7066155321188878} |
| 0.0499 | 611.0 | 40937 | 2.5924 | {'f1': 0.8051948051948051} | {'accuracy': 0.697986577181208} |
| 0.0471 | 612.0 | 41004 | 2.2394 | {'f1': 0.8112058465286237} | {'accuracy': 0.7027804410354745} |
| 0.0471 | 613.0 | 41071 | 2.0492 | {'f1': 0.810610734114744} | {'accuracy': 0.7056567593480345} |
| 0.0471 | 614.0 | 41138 | 1.5876 | {'f1': 0.8012698412698412} | {'accuracy': 0.6999041227229147} |
| 0.0471 | 615.0 | 41205 | 2.2801 | {'f1': 0.8012578616352202} | {'accuracy': 0.6970278044103547} |
| 0.0471 | 616.0 | 41272 | 2.3718 | {'f1': 0.7917472598323662} | {'accuracy': 0.6903163950143816} |
| 0.0471 | 617.0 | 41339 | 2.3341 | {'f1': 0.8154034229828852} | {'accuracy': 0.710450623202301} |
| 0.0471 | 618.0 | 41406 | 2.0647 | {'f1': 0.7958387516254877} | {'accuracy': 0.6989453499520614} |
| 0.0471 | 619.0 | 41473 | 2.1027 | {'f1': 0.8060836501901142} | {'accuracy': 0.7066155321188878} |
| 0.0476 | 620.0 | 41540 | 2.2300 | {'f1': 0.8094351334574797} | {'accuracy': 0.7056567593480345} |
| 0.0476 | 621.0 | 41607 | 2.4566 | {'f1': 0.8132678132678133} | {'accuracy': 0.7085330776605945} |
| 0.0476 | 622.0 | 41674 | 2.1890 | {'f1': 0.8108776266996292} | {'accuracy': 0.7066155321188878} |
| 0.0476 | 623.0 | 41741 | 2.5345 | {'f1': 0.8} | {'accuracy': 0.6999041227229147} |
| 0.0476 | 624.0 | 41808 | 2.4468 | {'f1': 0.8138957816377171} | {'accuracy': 0.7123681687440077} |
| 0.0476 | 625.0 | 41875 | 2.5332 | {'f1': 0.8136419001218027} | {'accuracy': 0.7066155321188878} |
| 0.0476 | 626.0 | 41942 | 2.3169 | {'f1': 0.8035375868603918} | {'accuracy': 0.7018216682646213} |
| 0.0374 | 627.0 | 42009 | 2.7118 | {'f1': 0.8141702921068986} | {'accuracy': 0.713326941514861} |
| 0.0374 | 628.0 | 42076 | 3.0217 | {'f1': 0.8164014687882496} | {'accuracy': 0.7123681687440077} |
| 0.0374 | 629.0 | 42143 | 2.6981 | {'f1': 0.8043202033036849} | {'accuracy': 0.7046979865771812} |
| 0.0374 | 630.0 | 42210 | 2.9600 | {'f1': 0.813810110974106} | {'accuracy': 0.710450623202301} |
| 0.0374 | 631.0 | 42277 | 1.9972 | {'f1': 0.8125384142593731} | {'accuracy': 0.7075743048897412} |
| 0.0374 | 632.0 | 42344 | 1.9691 | {'f1': 0.803001876172608} | {'accuracy': 0.697986577181208} |
| 0.0374 | 633.0 | 42411 | 2.1728 | {'f1': 0.7926988265971316} | {'accuracy': 0.6951102588686481} |
| 0.0374 | 634.0 | 42478 | 2.4838 | {'f1': 0.788409703504043} | {'accuracy': 0.6989453499520614} |
| 0.0359 | 635.0 | 42545 | 2.4202 | {'f1': 0.8100490196078431} | {'accuracy': 0.7027804410354745} |
| 0.0359 | 636.0 | 42612 | 2.4062 | {'f1': 0.8010139416983524} | {'accuracy': 0.6989453499520614} |
| 0.0359 | 637.0 | 42679 | 2.2867 | {'f1': 0.802547770700637} | {'accuracy': 0.7027804410354745} |
| 0.0359 | 638.0 | 42746 | 2.4433 | {'f1': 0.8100490196078431} | {'accuracy': 0.7027804410354745} |
| 0.0359 | 639.0 | 42813 | 2.7226 | {'f1': 0.8071472581638941} | {'accuracy': 0.6999041227229147} |
| 0.0359 | 640.0 | 42880 | 2.3897 | {'f1': 0.8055380742605414} | {'accuracy': 0.7037392138063279} |
| 0.0359 | 641.0 | 42947 | 2.4064 | {'f1': 0.8037974683544304} | {'accuracy': 0.7027804410354745} |
| 0.0192 | 642.0 | 43014 | 2.8317 | {'f1': 0.8161057692307692} | {'accuracy': 0.7066155321188878} |
| 0.0192 | 643.0 | 43081 | 2.4679 | {'f1': 0.810062893081761} | {'accuracy': 0.710450623202301} |
| 0.0192 | 644.0 | 43148 | 2.5643 | {'f1': 0.8125} | {'accuracy': 0.7123681687440077} |
| 0.0192 | 645.0 | 43215 | 2.4763 | {'f1': 0.8150431565967942} | {'accuracy': 0.7123681687440077} |
| 0.0192 | 646.0 | 43282 | 2.6369 | {'f1': 0.8170515097690941} | {'accuracy': 0.7037392138063279} |
| 0.0192 | 647.0 | 43349 | 2.0630 | {'f1': 0.7974603174603174} | {'accuracy': 0.6941514860977949} |
| 0.0192 | 648.0 | 43416 | 2.4388 | {'f1': 0.8125000000000001} | {'accuracy': 0.7066155321188878} |
| 0.0192 | 649.0 | 43483 | 2.4868 | {'f1': 0.8124223602484472} | {'accuracy': 0.710450623202301} |
| 0.0305 | 650.0 | 43550 | 2.2993 | {'f1': 0.8080931943592886} | {'accuracy': 0.6999041227229147} |
| 0.0305 | 651.0 | 43617 | 2.0874 | {'f1': 0.8027465667915106} | {'accuracy': 0.6970278044103547} |
| 0.0305 | 652.0 | 43684 | 2.2371 | {'f1': 0.8022886204704387} | {'accuracy': 0.7018216682646213} |
| 0.0305 | 653.0 | 43751 | 2.5658 | {'f1': 0.8124632569077014} | {'accuracy': 0.6941514860977949} |
| 0.0305 | 654.0 | 43818 | 2.7170 | {'f1': 0.8150807899461401} | {'accuracy': 0.7037392138063279} |
| 0.0305 | 655.0 | 43885 | 2.3604 | {'f1': 0.7970018738288569} | {'accuracy': 0.6883988494726749} |
| 0.0305 | 656.0 | 43952 | 2.4308 | {'f1': 0.8037735849056603} | {'accuracy': 0.700862895493768} |
| 0.0386 | 657.0 | 44019 | 2.6878 | {'f1': 0.7896774193548386} | {'accuracy': 0.6874400767018217} |
| 0.0386 | 658.0 | 44086 | 2.2253 | {'f1': 0.8052930056710776} | {'accuracy': 0.7037392138063279} |
| 0.0386 | 659.0 | 44153 | 2.3105 | {'f1': 0.7951959544879897} | {'accuracy': 0.6893576222435283} |
| 0.0386 | 660.0 | 44220 | 2.6267 | {'f1': 0.8056580565805658} | {'accuracy': 0.6970278044103547} |
| 0.0386 | 661.0 | 44287 | 2.7093 | {'f1': 0.7882736156351792} | {'accuracy': 0.6883988494726749} |
| 0.0386 | 662.0 | 44354 | 2.2298 | {'f1': 0.8007590132827325} | {'accuracy': 0.697986577181208} |
| 0.0386 | 663.0 | 44421 | 2.7471 | {'f1': 0.8037267080745342} | {'accuracy': 0.6970278044103547} |
| 0.0386 | 664.0 | 44488 | 2.5590 | {'f1': 0.8037151702786378} | {'accuracy': 0.6960690316395014} |
| 0.0325 | 665.0 | 44555 | 1.9864 | {'f1': 0.7971938775510203} | {'accuracy': 0.6951102588686481} |
| 0.0325 | 666.0 | 44622 | 2.2498 | {'f1': 0.8097560975609757} | {'accuracy': 0.700862895493768} |
| 0.0325 | 667.0 | 44689 | 2.4292 | {'f1': 0.809667673716012} | {'accuracy': 0.697986577181208} |
| 0.0325 | 668.0 | 44756 | 2.3081 | {'f1': 0.7995049504950494} | {'accuracy': 0.6893576222435283} |
| 0.0325 | 669.0 | 44823 | 2.5704 | {'f1': 0.7860374919198448} | {'accuracy': 0.6826462128475551} |
| 0.0325 | 670.0 | 44890 | 2.0630 | {'f1': 0.779324055666004} | {'accuracy': 0.6807286673058485} |
| 0.0325 | 671.0 | 44957 | 2.6712 | {'f1': 0.8024691358024691} | {'accuracy': 0.6931927133269415} |
| 0.0314 | 672.0 | 45024 | 2.6011 | {'f1': 0.7780784844384304} | {'accuracy': 0.6855225311601151} |
| 0.0314 | 673.0 | 45091 | 2.7033 | {'f1': 0.7877966101694915} | {'accuracy': 0.6999041227229147} |
| 0.0314 | 674.0 | 45158 | 2.8228 | {'f1': 0.7992376111817027} | {'accuracy': 0.6970278044103547} |
| 0.0314 | 675.0 | 45225 | 2.9198 | {'f1': 0.809464508094645} | {'accuracy': 0.7066155321188878} |
| 0.0314 | 676.0 | 45292 | 2.9716 | {'f1': 0.7916666666666667} | {'accuracy': 0.6931927133269415} |
| 0.0314 | 677.0 | 45359 | 2.5246 | {'f1': 0.8074385122975405} | {'accuracy': 0.6922339405560882} |
| 0.0314 | 678.0 | 45426 | 2.4123 | {'f1': 0.807906114885732} | {'accuracy': 0.7018216682646213} |
| 0.0314 | 679.0 | 45493 | 2.4165 | {'f1': 0.8075235109717868} | {'accuracy': 0.7056567593480345} |
| 0.0254 | 680.0 | 45560 | 2.2870 | {'f1': 0.8234597156398105} | {'accuracy': 0.7142857142857143} |
| 0.0254 | 681.0 | 45627 | 2.3270 | {'f1': 0.8097793679189027} | {'accuracy': 0.6941514860977949} |
| 0.0254 | 682.0 | 45694 | 2.3238 | {'f1': 0.7957259585166563} | {'accuracy': 0.6883988494726749} |
| 0.0254 | 683.0 | 45761 | 2.4876 | {'f1': 0.8056755089450957} | {'accuracy': 0.697986577181208} |
| 0.0254 | 684.0 | 45828 | 2.8173 | {'f1': 0.7966645285439383} | {'accuracy': 0.6960690316395014} |
| 0.0254 | 685.0 | 45895 | 1.9763 | {'f1': 0.8079800498753117} | {'accuracy': 0.7046979865771812} |
| 0.0254 | 686.0 | 45962 | 2.5405 | {'f1': 0.7926749509483322} | {'accuracy': 0.6960690316395014} |
| 0.0358 | 687.0 | 46029 | 1.8050 | {'f1': 0.7804551539491298} | {'accuracy': 0.6855225311601151} |
| 0.0358 | 688.0 | 46096 | 1.7838 | {'f1': 0.8044417026526834} | {'accuracy': 0.6960690316395014} |
| 0.0358 | 689.0 | 46163 | 1.9279 | {'f1': 0.7954401519949335} | {'accuracy': 0.6903163950143816} |
| 0.0358 | 690.0 | 46230 | 2.2518 | {'f1': 0.8070175438596492} | {'accuracy': 0.7046979865771812} |
| 0.0358 | 691.0 | 46297 | 2.4148 | {'f1': 0.7906976744186047} | {'accuracy': 0.697986577181208} |
| 0.0358 | 692.0 | 46364 | 2.4084 | {'f1': 0.7948387096774193} | {'accuracy': 0.6951102588686481} |
| 0.0358 | 693.0 | 46431 | 2.4390 | {'f1': 0.7997481108312343} | {'accuracy': 0.6951102588686481} |
| 0.0358 | 694.0 | 46498 | 2.5726 | {'f1': 0.8100183262064753} | {'accuracy': 0.7018216682646213} |
| 0.0255 | 695.0 | 46565 | 2.2043 | {'f1': 0.8097622027534418} | {'accuracy': 0.7085330776605945} |
| 0.0255 | 696.0 | 46632 | 2.4890 | {'f1': 0.8125000000000001} | {'accuracy': 0.7066155321188878} |
| 0.0255 | 697.0 | 46699 | 2.5582 | {'f1': 0.7989821882951653} | {'accuracy': 0.6970278044103547} |
| 0.0255 | 698.0 | 46766 | 2.6065 | {'f1': 0.7977315689981097} | {'accuracy': 0.6922339405560882} |
| 0.0255 | 699.0 | 46833 | 2.8964 | {'f1': 0.817857142857143} | {'accuracy': 0.7066155321188878} |
| 0.0255 | 700.0 | 46900 | 2.6920 | {'f1': 0.7906066536203523} | {'accuracy': 0.6922339405560882} |
| 0.0255 | 701.0 | 46967 | 2.6233 | {'f1': 0.8162762022194822} | {'accuracy': 0.7142857142857143} |
| 0.0287 | 702.0 | 47034 | 2.4204 | {'f1': 0.7958789439793946} | {'accuracy': 0.6960690316395014} |
| 0.0287 | 703.0 | 47101 | 2.5576 | {'f1': 0.806471686372122} | {'accuracy': 0.7018216682646213} |
| 0.0287 | 704.0 | 47168 | 2.7032 | {'f1': 0.7905759162303664} | {'accuracy': 0.6931927133269415} |
| 0.0287 | 705.0 | 47235 | 2.4733 | {'f1': 0.8056234718826406} | {'accuracy': 0.6951102588686481} |
| 0.0287 | 706.0 | 47302 | 2.3244 | {'f1': 0.8029832193909261} | {'accuracy': 0.6960690316395014} |
| 0.0287 | 707.0 | 47369 | 2.7921 | {'f1': 0.8017902813299232} | {'accuracy': 0.7027804410354745} |
| 0.0287 | 708.0 | 47436 | 2.2663 | {'f1': 0.8017456359102245} | {'accuracy': 0.6951102588686481} |
| 0.0288 | 709.0 | 47503 | 2.0167 | {'f1': 0.8132678132678133} | {'accuracy': 0.7085330776605945} |
| 0.0288 | 710.0 | 47570 | 2.6573 | {'f1': 0.7940606843124596} | {'accuracy': 0.6941514860977949} |
| 0.0288 | 711.0 | 47637 | 2.9652 | {'f1': 0.7554309740714786} | {'accuracy': 0.6653883029721956} |
| 0.0288 | 712.0 | 47704 | 2.8463 | {'f1': 0.7939508506616256} | {'accuracy': 0.6864813039309684} |
| 0.0288 | 713.0 | 47771 | 2.4259 | {'f1': 0.7916666666666666} | {'accuracy': 0.6836049856184084} |
| 0.0288 | 714.0 | 47838 | 2.5357 | {'f1': 0.807716241443684} | {'accuracy': 0.7037392138063279} |
| 0.0288 | 715.0 | 47905 | 2.7091 | {'f1': 0.8059149722735675} | {'accuracy': 0.697986577181208} |
| 0.0288 | 716.0 | 47972 | 1.9341 | {'f1': 0.7498257839721254} | {'accuracy': 0.6558005752636625} |
| 0.045 | 717.0 | 48039 | 2.4567 | {'f1': 0.7990043559427504} | {'accuracy': 0.6903163950143816} |
| 0.045 | 718.0 | 48106 | 2.3969 | {'f1': 0.796116504854369} | {'accuracy': 0.697986577181208} |
| 0.045 | 719.0 | 48173 | 2.4523 | {'f1': 0.7801324503311259} | {'accuracy': 0.6816874400767018} |
| 0.045 | 720.0 | 48240 | 2.7482 | {'f1': 0.7823800131492439} | {'accuracy': 0.6826462128475551} |
| 0.045 | 721.0 | 48307 | 2.3304 | {'f1': 0.7850225952227243} | {'accuracy': 0.6807286673058485} |
| 0.045 | 722.0 | 48374 | 3.0472 | {'f1': 0.8074385122975405} | {'accuracy': 0.6922339405560882} |
| 0.045 | 723.0 | 48441 | 2.7800 | {'f1': 0.7922403003754693} | {'accuracy': 0.6816874400767018} |
| 0.0356 | 724.0 | 48508 | 2.6058 | {'f1': 0.7930174563591023} | {'accuracy': 0.6816874400767018} |
| 0.0356 | 725.0 | 48575 | 2.5263 | {'f1': 0.8047411104179663} | {'accuracy': 0.6999041227229147} |
| 0.0356 | 726.0 | 48642 | 2.7661 | {'f1': 0.7964376590330787} | {'accuracy': 0.6931927133269415} |
| 0.0356 | 727.0 | 48709 | 2.6080 | {'f1': 0.7963076923076924} | {'accuracy': 0.6826462128475551} |
| 0.0356 | 728.0 | 48776 | 2.6368 | {'f1': 0.7740641711229945} | {'accuracy': 0.675934803451582} |
| 0.0356 | 729.0 | 48843 | 2.9922 | {'f1': 0.7955528103767758} | {'accuracy': 0.6826462128475551} |
| 0.0356 | 730.0 | 48910 | 3.0665 | {'f1': 0.7828348504551365} | {'accuracy': 0.6797698945349953} |
| 0.0356 | 731.0 | 48977 | 3.0926 | {'f1': 0.7995079950799507} | {'accuracy': 0.6874400767018217} |
| 0.0291 | 732.0 | 49044 | 2.9926 | {'f1': 0.7936102236421724} | {'accuracy': 0.6903163950143816} |
| 0.0291 | 733.0 | 49111 | 2.4811 | {'f1': 0.7784511784511784} | {'accuracy': 0.6845637583892618} |
| 0.0291 | 734.0 | 49178 | 2.8004 | {'f1': 0.8066914498141262} | {'accuracy': 0.700862895493768} |
| 0.0291 | 735.0 | 49245 | 3.0368 | {'f1': 0.7967275015733165} | {'accuracy': 0.6903163950143816} |
| 0.0291 | 736.0 | 49312 | 1.9854 | {'f1': 0.8034398034398035} | {'accuracy': 0.6931927133269415} |
| 0.0291 | 737.0 | 49379 | 2.6648 | {'f1': 0.8032786885245902} | {'accuracy': 0.700862895493768} |
| 0.0291 | 738.0 | 49446 | 2.7329 | {'f1': 0.7999999999999998} | {'accuracy': 0.7027804410354745} |
| 0.0196 | 739.0 | 49513 | 3.0289 | {'f1': 0.8029832193909261} | {'accuracy': 0.6960690316395014} |
| 0.0196 | 740.0 | 49580 | 3.1310 | {'f1': 0.8074074074074074} | {'accuracy': 0.700862895493768} |
| 0.0196 | 741.0 | 49647 | 2.1609 | {'f1': 0.8119293974437006} | {'accuracy': 0.7037392138063279} |
| 0.0196 | 742.0 | 49714 | 2.6867 | {'f1': 0.7961414790996786} | {'accuracy': 0.6960690316395014} |
| 0.0196 | 743.0 | 49781 | 2.9029 | {'f1': 0.8027725267800883} | {'accuracy': 0.6999041227229147} |
| 0.0196 | 744.0 | 49848 | 2.7871 | {'f1': 0.7956577266922095} | {'accuracy': 0.6931927133269415} |
| 0.0196 | 745.0 | 49915 | 2.3519 | {'f1': 0.8} | {'accuracy': 0.6941514860977949} |
| 0.0196 | 746.0 | 49982 | 2.3877 | {'f1': 0.7865022712524335} | {'accuracy': 0.6845637583892618} |
| 0.0223 | 747.0 | 50049 | 2.6191 | {'f1': 0.807250755287009} | {'accuracy': 0.6941514860977949} |
| 0.0223 | 748.0 | 50116 | 2.5804 | {'f1': 0.7943625880845611} | {'accuracy': 0.6922339405560882} |
| 0.0223 | 749.0 | 50183 | 2.3629 | {'f1': 0.7795698924731183} | {'accuracy': 0.6855225311601151} |
| 0.0223 | 750.0 | 50250 | 2.6731 | {'f1': 0.8061919504643963} | {'accuracy': 0.6999041227229147} |
| 0.0223 | 751.0 | 50317 | 2.7994 | {'f1': 0.8037037037037037} | {'accuracy': 0.6951102588686481} |
| 0.0223 | 752.0 | 50384 | 2.7621 | {'f1': 0.8049230769230769} | {'accuracy': 0.6960690316395014} |
| 0.0223 | 753.0 | 50451 | 2.8079 | {'f1': 0.803001876172608} | {'accuracy': 0.697986577181208} |
| 0.0284 | 754.0 | 50518 | 2.7339 | {'f1': 0.8027295285359802} | {'accuracy': 0.6951102588686481} |
| 0.0284 | 755.0 | 50585 | 2.3571 | {'f1': 0.794451450189155} | {'accuracy': 0.6874400767018217} |
| 0.0284 | 756.0 | 50652 | 2.9821 | {'f1': 0.7955936352509181} | {'accuracy': 0.6797698945349953} |
| 0.0284 | 757.0 | 50719 | 2.8026 | {'f1': 0.7713903743315508} | {'accuracy': 0.6720997123681688} |
| 0.0284 | 758.0 | 50786 | 3.1596 | {'f1': 0.8016979987871438} | {'accuracy': 0.6864813039309684} |
| 0.0284 | 759.0 | 50853 | 3.0899 | {'f1': 0.7764550264550265} | {'accuracy': 0.675934803451582} |
| 0.0284 | 760.0 | 50920 | 3.2063 | {'f1': 0.7912652536929994} | {'accuracy': 0.6883988494726749} |
| 0.0284 | 761.0 | 50987 | 3.3018 | {'f1': 0.7959442332065907} | {'accuracy': 0.6912751677852349} |
| 0.0186 | 762.0 | 51054 | 3.2583 | {'f1': 0.8049079754601228} | {'accuracy': 0.6951102588686481} |
| 0.0186 | 763.0 | 51121 | 2.4554 | {'f1': 0.8051157125456762} | {'accuracy': 0.6931927133269415} |
| 0.0186 | 764.0 | 51188 | 2.5469 | {'f1': 0.8046971569839309} | {'accuracy': 0.6970278044103547} |
| 0.0186 | 765.0 | 51255 | 2.6618 | {'f1': 0.7841634738186462} | {'accuracy': 0.675934803451582} |
| 0.0186 | 766.0 | 51322 | 2.8066 | {'f1': 0.7879948914431673} | {'accuracy': 0.6816874400767018} |
| 0.0186 | 767.0 | 51389 | 2.9399 | {'f1': 0.8097560975609757} | {'accuracy': 0.700862895493768} |
| 0.0186 | 768.0 | 51456 | 2.9587 | {'f1': 0.8076685219542364} | {'accuracy': 0.7018216682646213} |
| 0.0212 | 769.0 | 51523 | 3.0687 | {'f1': 0.8037037037037037} | {'accuracy': 0.6951102588686481} |
| 0.0212 | 770.0 | 51590 | 3.1965 | {'f1': 0.8102501525320317} | {'accuracy': 0.7018216682646213} |
| 0.0212 | 771.0 | 51657 | 3.1875 | {'f1': 0.811332127787824} | {'accuracy': 0.6999041227229147} |
| 0.0212 | 772.0 | 51724 | 2.4162 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0212 | 773.0 | 51791 | 2.0861 | {'f1': 0.7639542703429724} | {'accuracy': 0.663470757430489} |
| 0.0212 | 774.0 | 51858 | 2.8202 | {'f1': 0.8024615384615384} | {'accuracy': 0.6922339405560882} |
| 0.0212 | 775.0 | 51925 | 2.7271 | {'f1': 0.7717462393721386} | {'accuracy': 0.6653883029721956} |
| 0.0212 | 776.0 | 51992 | 2.9384 | {'f1': 0.8} | {'accuracy': 0.6903163950143816} |
| 0.0215 | 777.0 | 52059 | 3.1019 | {'f1': 0.7914303717706365} | {'accuracy': 0.6826462128475551} |
| 0.0215 | 778.0 | 52126 | 2.0745 | {'f1': 0.8026960784313726} | {'accuracy': 0.6912751677852349} |
| 0.0215 | 779.0 | 52193 | 2.9262 | {'f1': 0.7987538940809968} | {'accuracy': 0.6903163950143816} |
| 0.0215 | 780.0 | 52260 | 3.0274 | {'f1': 0.7817589576547231} | {'accuracy': 0.6788111217641419} |
| 0.0215 | 781.0 | 52327 | 2.6004 | {'f1': 0.7793427230046948} | {'accuracy': 0.6845637583892618} |
| 0.0215 | 782.0 | 52394 | 2.8576 | {'f1': 0.8064316635745208} | {'accuracy': 0.6999041227229147} |
| 0.0215 | 783.0 | 52461 | 2.6895 | {'f1': 0.8186157517899763} | {'accuracy': 0.7085330776605945} |
| 0.0296 | 784.0 | 52528 | 2.7667 | {'f1': 0.7974921630094044} | {'accuracy': 0.6903163950143816} |
| 0.0296 | 785.0 | 52595 | 2.2497 | {'f1': 0.801246105919003} | {'accuracy': 0.6941514860977949} |
| 0.0296 | 786.0 | 52662 | 2.7913 | {'f1': 0.7935064935064934} | {'accuracy': 0.6951102588686481} |
| 0.0296 | 787.0 | 52729 | 3.0921 | {'f1': 0.7987460815047022} | {'accuracy': 0.6922339405560882} |
| 0.0296 | 788.0 | 52796 | 2.5899 | {'f1': 0.8088506453595575} | {'accuracy': 0.7018216682646213} |
| 0.0296 | 789.0 | 52863 | 3.0144 | {'f1': 0.7790311877903119} | {'accuracy': 0.6807286673058485} |
| 0.0296 | 790.0 | 52930 | 3.0538 | {'f1': 0.7768924302788843} | {'accuracy': 0.6778523489932886} |
| 0.0296 | 791.0 | 52997 | 3.2500 | {'f1': 0.7863577863577864} | {'accuracy': 0.6816874400767018} |
| 0.0227 | 792.0 | 53064 | 3.3701 | {'f1': 0.7841866493843164} | {'accuracy': 0.6807286673058485} |
| 0.0227 | 793.0 | 53131 | 3.1662 | {'f1': 0.7822105951602353} | {'accuracy': 0.6807286673058485} |
| 0.0227 | 794.0 | 53198 | 2.5949 | {'f1': 0.7849740932642487} | {'accuracy': 0.6816874400767018} |
| 0.0227 | 795.0 | 53265 | 2.1076 | {'f1': 0.7985120892746435} | {'accuracy': 0.6883988494726749} |
| 0.0227 | 796.0 | 53332 | 2.9437 | {'f1': 0.8007471980074721} | {'accuracy': 0.6931927133269415} |
| 0.0227 | 797.0 | 53399 | 2.8963 | {'f1': 0.8034934497816594} | {'accuracy': 0.697986577181208} |
| 0.0227 | 798.0 | 53466 | 2.5000 | {'f1': 0.7972116603295311} | {'accuracy': 0.6931927133269415} |
| 0.0202 | 799.0 | 53533 | 3.1138 | {'f1': 0.790757381258023} | {'accuracy': 0.6874400767018217} |
| 0.0202 | 800.0 | 53600 | 2.7586 | {'f1': 0.8136419001218027} | {'accuracy': 0.7066155321188878} |
| 0.0202 | 801.0 | 53667 | 2.6061 | {'f1': 0.8007736943907157} | {'accuracy': 0.7037392138063279} |
| 0.0202 | 802.0 | 53734 | 2.9945 | {'f1': 0.812577065351418} | {'accuracy': 0.7085330776605945} |
| 0.0202 | 803.0 | 53801 | 3.1440 | {'f1': 0.8067122436295835} | {'accuracy': 0.7018216682646213} |
| 0.0202 | 804.0 | 53868 | 3.1134 | {'f1': 0.776376907763769} | {'accuracy': 0.6768935762224353} |
| 0.0202 | 805.0 | 53935 | 2.3582 | {'f1': 0.8138528138528138} | {'accuracy': 0.7114093959731543} |
| 0.0173 | 806.0 | 54002 | 2.5501 | {'f1': 0.8031189083820662} | {'accuracy': 0.7094918504314478} |
| 0.0173 | 807.0 | 54069 | 2.8213 | {'f1': 0.7974025974025973} | {'accuracy': 0.700862895493768} |
| 0.0173 | 808.0 | 54136 | 3.0748 | {'f1': 0.8068614993646761} | {'accuracy': 0.7085330776605945} |
| 0.0173 | 809.0 | 54203 | 3.2095 | {'f1': 0.7966857871255576} | {'accuracy': 0.6941514860977949} |
| 0.0173 | 810.0 | 54270 | 3.0719 | {'f1': 0.8100183262064753} | {'accuracy': 0.7018216682646213} |
| 0.0173 | 811.0 | 54337 | 2.9067 | {'f1': 0.8062893081761007} | {'accuracy': 0.7046979865771812} |
| 0.0173 | 812.0 | 54404 | 2.3977 | {'f1': 0.7872340425531915} | {'accuracy': 0.6931927133269415} |
| 0.0173 | 813.0 | 54471 | 2.4714 | {'f1': 0.8045540796963947} | {'accuracy': 0.7037392138063279} |
| 0.0192 | 814.0 | 54538 | 2.9034 | {'f1': 0.8077645585472761} | {'accuracy': 0.7056567593480345} |
| 0.0192 | 815.0 | 54605 | 2.9557 | {'f1': 0.7888239116309291} | {'accuracy': 0.6883988494726749} |
| 0.0192 | 816.0 | 54672 | 2.8904 | {'f1': 0.7881087919038583} | {'accuracy': 0.6788111217641419} |
| 0.0192 | 817.0 | 54739 | 3.1986 | {'f1': 0.7813108371187542} | {'accuracy': 0.6768935762224353} |
| 0.0192 | 818.0 | 54806 | 3.0324 | {'f1': 0.796044499381953} | {'accuracy': 0.6836049856184084} |
| 0.0192 | 819.0 | 54873 | 2.4756 | {'f1': 0.7817460317460316} | {'accuracy': 0.6836049856184084} |
| 0.0192 | 820.0 | 54940 | 2.9751 | {'f1': 0.786179921773142} | {'accuracy': 0.6855225311601151} |
| 0.0202 | 821.0 | 55007 | 2.8320 | {'f1': 0.8107121119902617} | {'accuracy': 0.7018216682646213} |
| 0.0202 | 822.0 | 55074 | 3.0572 | {'f1': 0.7999999999999999} | {'accuracy': 0.6922339405560882} |
| 0.0202 | 823.0 | 55141 | 2.7252 | {'f1': 0.7822634017207147} | {'accuracy': 0.6845637583892618} |
| 0.0202 | 824.0 | 55208 | 2.6225 | {'f1': 0.801718845917741} | {'accuracy': 0.6903163950143816} |
| 0.0202 | 825.0 | 55275 | 2.8190 | {'f1': 0.7736842105263156} | {'accuracy': 0.6701821668264621} |
| 0.0202 | 826.0 | 55342 | 3.0765 | {'f1': 0.8002512562814069} | {'accuracy': 0.6951102588686481} |
| 0.0202 | 827.0 | 55409 | 2.9914 | {'f1': 0.8076923076923077} | {'accuracy': 0.7027804410354745} |
| 0.0202 | 828.0 | 55476 | 2.8897 | {'f1': 0.8127294981640146} | {'accuracy': 0.7066155321188878} |
| 0.0209 | 829.0 | 55543 | 2.7297 | {'f1': 0.8053097345132745} | {'accuracy': 0.7046979865771812} |
| 0.0209 | 830.0 | 55610 | 2.8030 | {'f1': 0.8068251066422912} | {'accuracy': 0.6960690316395014} |
| 0.0209 | 831.0 | 55677 | 2.6626 | {'f1': 0.7949367088607595} | {'accuracy': 0.6893576222435283} |
| 0.0209 | 832.0 | 55744 | 3.0832 | {'f1': 0.7971298108284409} | {'accuracy': 0.7018216682646213} |
| 0.0209 | 833.0 | 55811 | 2.0708 | {'f1': 0.8045112781954888} | {'accuracy': 0.700862895493768} |
| 0.0209 | 834.0 | 55878 | 2.2189 | {'f1': 0.8030398986700443} | {'accuracy': 0.7018216682646213} |
| 0.0209 | 835.0 | 55945 | 2.9918 | {'f1': 0.7979669631512071} | {'accuracy': 0.6951102588686481} |
| 0.0269 | 836.0 | 56012 | 2.2085 | {'f1': 0.7953816549069915} | {'accuracy': 0.6941514860977949} |
| 0.0269 | 837.0 | 56079 | 3.1818 | {'f1': 0.7605042016806722} | {'accuracy': 0.6720997123681688} |
The model card is truncated. Read the rest on Hugging Face.
- License
- apache-2.0
- Created
- Oct 15, 2023
- Updated
- Oct 15, 2023