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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- f1
- accuracy
model-index:
- name: bert-base-uncased-test_16_535
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-base-uncased-test_16_535
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the glue dataset.
It achieves the following results on the evaluation set:
- Loss: 4.2260
- F1: {'f1': 0.7565495207667732}
- Accuracy: {'accuracy': 0.6347075743048898}
## 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 | 34 | 0.6031 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| No log | 2.0 | 68 | 0.5685 | {'f1': 0.8203661327231121} | {'accuracy': 0.6989453499520614} |
| No log | 3.0 | 102 | 0.6256 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| No log | 4.0 | 136 | 0.5539 | {'f1': 0.7933042212518194} | {'accuracy': 0.7277085330776606} |
| No log | 5.0 | 170 | 0.6268 | {'f1': 0.8310214375788146} | {'accuracy': 0.7430488974113135} |
| No log | 6.0 | 204 | 0.9841 | {'f1': 0.8037653874004345} | {'accuracy': 0.7401725790987536} |
| No log | 7.0 | 238 | 0.9858 | {'f1': 0.8460620525059666} | {'accuracy': 0.7526366251198466} |
| No log | 8.0 | 272 | 1.4189 | {'f1': 0.8485221674876847} | {'accuracy': 0.7641418983700863} |
| No log | 9.0 | 306 | 1.0672 | {'f1': 0.8197831978319783} | {'accuracy': 0.7449664429530202} |
| No log | 10.0 | 340 | 1.6573 | {'f1': 0.8440366972477065} | {'accuracy': 0.7555129434324065} |
| No log | 11.0 | 374 | 1.3649 | {'f1': 0.8562259306803593} | {'accuracy': 0.785234899328859} |
| No log | 12.0 | 408 | 1.3585 | {'f1': 0.8506900878293602} | {'accuracy': 0.7718120805369127} |
| No log | 13.0 | 442 | 1.5549 | {'f1': 0.8430054978619427} | {'accuracy': 0.7535953978907} |
| No log | 14.0 | 476 | 1.8373 | {'f1': 0.8437306979617049} | {'accuracy': 0.7574304889741131} |
| 0.2394 | 15.0 | 510 | 1.6879 | {'f1': 0.8426461143224149} | {'accuracy': 0.7651006711409396} |
| 0.2394 | 16.0 | 544 | 1.9573 | {'f1': 0.8462484624846248} | {'accuracy': 0.7603068072866731} |
| 0.2394 | 17.0 | 578 | 1.8418 | {'f1': 0.8555486670799751} | {'accuracy': 0.7766059443911792} |
| 0.2394 | 18.0 | 612 | 1.7456 | {'f1': 0.8501567398119122} | {'accuracy': 0.7708533077660594} |
| 0.2394 | 19.0 | 646 | 2.0146 | {'f1': 0.8465286236297199} | {'accuracy': 0.7583892617449665} |
| 0.2394 | 20.0 | 680 | 1.2021 | {'f1': 0.8192602930914167} | {'accuracy': 0.7516778523489933} |
| 0.2394 | 21.0 | 714 | 1.3768 | {'f1': 0.8271604938271605} | {'accuracy': 0.7583892617449665} |
| 0.2394 | 22.0 | 748 | 1.5238 | {'f1': 0.8382541720154044} | {'accuracy': 0.7583892617449665} |
| 0.2394 | 23.0 | 782 | 2.0285 | {'f1': 0.8427594779366064} | {'accuracy': 0.7574304889741131} |
| 0.2394 | 24.0 | 816 | 2.2004 | {'f1': 0.8384332925336598} | {'accuracy': 0.7468839884947267} |
| 0.2394 | 25.0 | 850 | 2.1115 | {'f1': 0.8486720197652872} | {'accuracy': 0.7651006711409396} |
| 0.2394 | 26.0 | 884 | 2.2066 | {'f1': 0.8394753279200501} | {'accuracy': 0.7535953978907} |
| 0.2394 | 27.0 | 918 | 1.8350 | {'f1': 0.840446487196323} | {'accuracy': 0.7670182166826462} |
| 0.2394 | 28.0 | 952 | 2.1543 | {'f1': 0.8421717171717172} | {'accuracy': 0.7603068072866731} |
| 0.2394 | 29.0 | 986 | 1.9542 | {'f1': 0.8352201257861636} | {'accuracy': 0.7488015340364333} |
| 0.0285 | 30.0 | 1020 | 2.2269 | {'f1': 0.8398058252427185} | {'accuracy': 0.7468839884947267} |
| 0.0285 | 31.0 | 1054 | 2.3350 | {'f1': 0.8308270676691729} | {'accuracy': 0.7411313518696069} |
| 0.0285 | 32.0 | 1088 | 1.9383 | {'f1': 0.8372395833333335} | {'accuracy': 0.7603068072866731} |
| 0.0285 | 33.0 | 1122 | 1.2112 | {'f1': 0.8478260869565217} | {'accuracy': 0.7718120805369127} |
| 0.0285 | 34.0 | 1156 | 2.2343 | {'f1': 0.8423645320197044} | {'accuracy': 0.7545541706615532} |
| 0.0285 | 35.0 | 1190 | 2.3211 | {'f1': 0.8412397216951296} | {'accuracy': 0.7593480345158198} |
| 0.0285 | 36.0 | 1224 | 2.6982 | {'f1': 0.8338480543545398} | {'accuracy': 0.7420901246404602} |
| 0.0285 | 37.0 | 1258 | 2.4827 | {'f1': 0.8375404530744337} | {'accuracy': 0.7593480345158198} |
| 0.0285 | 38.0 | 1292 | 2.2638 | {'f1': 0.844106463878327} | {'accuracy': 0.7641418983700863} |
| 0.0285 | 39.0 | 1326 | 1.6533 | {'f1': 0.8357843137254902} | {'accuracy': 0.7430488974113135} |
| 0.0285 | 40.0 | 1360 | 1.8294 | {'f1': 0.8339483394833949} | {'accuracy': 0.7411313518696069} |
| 0.0285 | 41.0 | 1394 | 2.0741 | {'f1': 0.8326073428749221} | {'accuracy': 0.7420901246404602} |
| 0.0285 | 42.0 | 1428 | 1.6316 | {'f1': 0.8345230369889682} | {'accuracy': 0.7555129434324065} |
| 0.0285 | 43.0 | 1462 | 1.6026 | {'f1': 0.8335403726708075} | {'accuracy': 0.7430488974113135} |
| 0.0285 | 44.0 | 1496 | 1.7854 | {'f1': 0.8333333333333333} | {'accuracy': 0.7430488974113135} |
| 0.0288 | 45.0 | 1530 | 2.0844 | {'f1': 0.8268090154211151} | {'accuracy': 0.7200383509108341} |
| 0.0288 | 46.0 | 1564 | 1.8915 | {'f1': 0.8291250733998825} | {'accuracy': 0.7209971236816874} |
| 0.0288 | 47.0 | 1598 | 1.8459 | {'f1': 0.8361581920903955} | {'accuracy': 0.7497603068072867} |
| 0.0288 | 48.0 | 1632 | 2.1841 | {'f1': 0.8361370716510904} | {'accuracy': 0.74784276126558} |
| 0.0288 | 49.0 | 1666 | 1.8331 | {'f1': 0.8408812729498164} | {'accuracy': 0.75071907957814} |
| 0.0288 | 50.0 | 1700 | 2.1669 | {'f1': 0.8375229920294298} | {'accuracy': 0.7459252157238735} |
| 0.0288 | 51.0 | 1734 | 1.9448 | {'f1': 0.8217687074829932} | {'accuracy': 0.7488015340364333} |
| 0.0288 | 52.0 | 1768 | 2.3248 | {'f1': 0.8369565217391304} | {'accuracy': 0.7411313518696069} |
| 0.0288 | 53.0 | 1802 | 1.8249 | {'f1': 0.845360824742268} | {'accuracy': 0.7698945349952061} |
| 0.0288 | 54.0 | 1836 | 1.5104 | {'f1': 0.8302606484424666} | {'accuracy': 0.7440076701821668} |
| 0.0288 | 55.0 | 1870 | 1.7967 | {'f1': 0.8403247631935047} | {'accuracy': 0.7737296260786194} |
| 0.0288 | 56.0 | 1904 | 1.7794 | {'f1': 0.8362068965517242} | {'accuracy': 0.7449664429530202} |
| 0.0288 | 57.0 | 1938 | 1.9612 | {'f1': 0.8421052631578948} | {'accuracy': 0.7583892617449665} |
| 0.0288 | 58.0 | 1972 | 2.3249 | {'f1': 0.8403465346534654} | {'accuracy': 0.7526366251198466} |
| 0.0243 | 59.0 | 2006 | 2.6953 | {'f1': 0.8364741641337385} | {'accuracy': 0.7420901246404602} |
| 0.0243 | 60.0 | 2040 | 2.6241 | {'f1': 0.8381538461538462} | {'accuracy': 0.74784276126558} |
| 0.0243 | 61.0 | 2074 | 2.6045 | {'f1': 0.8385899814471244} | {'accuracy': 0.7497603068072867} |
| 0.0243 | 62.0 | 2108 | 2.4844 | {'f1': 0.8401215805471125} | {'accuracy': 0.74784276126558} |
| 0.0243 | 63.0 | 2142 | 1.6972 | {'f1': 0.840418977202711} | {'accuracy': 0.7516778523489933} |
| 0.0243 | 64.0 | 2176 | 1.9711 | {'f1': 0.8387925497752088} | {'accuracy': 0.7593480345158198} |
| 0.0243 | 65.0 | 2210 | 1.9891 | {'f1': 0.8404907975460122} | {'accuracy': 0.75071907957814} |
| 0.0243 | 66.0 | 2244 | 2.1286 | {'f1': 0.8380024360535933} | {'accuracy': 0.7449664429530202} |
| 0.0243 | 67.0 | 2278 | 1.9863 | {'f1': 0.8261964735516374} | {'accuracy': 0.7353787152444871} |
| 0.0243 | 68.0 | 2312 | 2.3933 | {'f1': 0.7949080622347949} | {'accuracy': 0.7219558964525408} |
| 0.0243 | 69.0 | 2346 | 1.6662 | {'f1': 0.8370895041854476} | {'accuracy': 0.7574304889741131} |
| 0.0243 | 70.0 | 2380 | 1.7256 | {'f1': 0.8430268918073796} | {'accuracy': 0.7593480345158198} |
| 0.0243 | 71.0 | 2414 | 1.5242 | {'f1': 0.8314754098360656} | {'accuracy': 0.7535953978907} |
| 0.0243 | 72.0 | 2448 | 1.6175 | {'f1': 0.8375080282594733} | {'accuracy': 0.7574304889741131} |
| 0.0243 | 73.0 | 2482 | 2.5471 | {'f1': 0.833535844471446} | {'accuracy': 0.7372962607861937} |
| 0.0247 | 74.0 | 2516 | 1.9411 | {'f1': 0.841708542713568} | {'accuracy': 0.7583892617449665} |
| 0.0247 | 75.0 | 2550 | 2.0580 | {'f1': 0.8373831775700934} | {'accuracy': 0.7497603068072867} |
| 0.0247 | 76.0 | 2584 | 2.3411 | {'f1': 0.8323057953144266} | {'accuracy': 0.7392138063279002} |
| 0.0247 | 77.0 | 2618 | 2.3319 | {'f1': 0.8364099299809039} | {'accuracy': 0.7535953978907} |
| 0.0247 | 78.0 | 2652 | 2.4792 | {'f1': 0.8362720403022671} | {'accuracy': 0.75071907957814} |
| 0.0247 | 79.0 | 2686 | 3.1382 | {'f1': 0.8284023668639053} | {'accuracy': 0.7219558964525408} |
| 0.0247 | 80.0 | 2720 | 2.8825 | {'f1': 0.8352306770521271} | {'accuracy': 0.7363374880153404} |
| 0.0247 | 81.0 | 2754 | 2.4851 | {'f1': 0.8287937743190662} | {'accuracy': 0.7468839884947267} |
| 0.0247 | 82.0 | 2788 | 2.7800 | {'f1': 0.8391866913123845} | {'accuracy': 0.7497603068072867} |
| 0.0247 | 83.0 | 2822 | 2.5317 | {'f1': 0.838390092879257} | {'accuracy': 0.7497603068072867} |
| 0.0247 | 84.0 | 2856 | 2.3079 | {'f1': 0.8323057953144266} | {'accuracy': 0.7392138063279002} |
| 0.0247 | 85.0 | 2890 | 2.0362 | {'f1': 0.8239074550128535} | {'accuracy': 0.7372962607861937} |
| 0.0247 | 86.0 | 2924 | 1.7755 | {'f1': 0.8317214700193424} | {'accuracy': 0.7497603068072867} |
| 0.0247 | 87.0 | 2958 | 2.8178 | {'f1': 0.8299401197604791} | {'accuracy': 0.7277085330776606} |
| 0.0247 | 88.0 | 2992 | 2.7970 | {'f1': 0.8307134220072551} | {'accuracy': 0.7315436241610739} |
| 0.0262 | 89.0 | 3026 | 2.2069 | {'f1': 0.8210800260247235} | {'accuracy': 0.7363374880153404} |
| 0.0262 | 90.0 | 3060 | 2.4590 | {'f1': 0.8289637952559301} | {'accuracy': 0.7372962607861937} |
| 0.0262 | 91.0 | 3094 | 2.6507 | {'f1': 0.8239747634069401} | {'accuracy': 0.7325023969319271} |
| 0.0262 | 92.0 | 3128 | 2.3580 | {'f1': 0.8371257485029939} | {'accuracy': 0.7392138063279002} |
| 0.0262 | 93.0 | 3162 | 2.0228 | {'f1': 0.8173207036535859} | {'accuracy': 0.7411313518696069} |
| 0.0262 | 94.0 | 3196 | 2.9600 | {'f1': 0.8229105786090006} | {'accuracy': 0.7094918504314478} |
| 0.0262 | 95.0 | 3230 | 1.5716 | {'f1': 0.8368708308065496} | {'accuracy': 0.7420901246404602} |
| 0.0262 | 96.0 | 3264 | 2.2060 | {'f1': 0.8202247191011236} | {'accuracy': 0.7238734419942474} |
| 0.0262 | 97.0 | 3298 | 2.1345 | {'f1': 0.8324125230202578} | {'accuracy': 0.738255033557047} |
| 0.0262 | 98.0 | 3332 | 2.0905 | {'f1': 0.8274111675126904} | {'accuracy': 0.7392138063279002} |
| 0.0262 | 99.0 | 3366 | 2.4812 | {'f1': 0.8284466625077979} | {'accuracy': 0.7363374880153404} |
| 0.0262 | 100.0 | 3400 | 2.8454 | {'f1': 0.8298001211387038} | {'accuracy': 0.7305848513902206} |
| 0.0262 | 101.0 | 3434 | 2.4681 | {'f1': 0.8314199395770392} | {'accuracy': 0.7325023969319271} |
| 0.0262 | 102.0 | 3468 | 2.3057 | {'f1': 0.8292094146047073} | {'accuracy': 0.7286673058485139} |
| 0.0243 | 103.0 | 3502 | 2.1339 | {'f1': 0.8280254777070063} | {'accuracy': 0.7411313518696069} |
| 0.0243 | 104.0 | 3536 | 2.0451 | {'f1': 0.83502538071066} | {'accuracy': 0.75071907957814} |
| 0.0243 | 105.0 | 3570 | 2.6213 | {'f1': 0.8346456692913385} | {'accuracy': 0.738255033557047} |
| 0.0243 | 106.0 | 3604 | 2.8700 | {'f1': 0.829443447037702} | {'accuracy': 0.7267497603068073} |
| 0.0243 | 107.0 | 3638 | 2.1492 | {'f1': 0.8274582560296847} | {'accuracy': 0.7325023969319271} |
| 0.0243 | 108.0 | 3672 | 2.0604 | {'f1': 0.8241206030150754} | {'accuracy': 0.7315436241610739} |
| 0.0243 | 109.0 | 3706 | 2.9161 | {'f1': 0.822637106184364} | {'accuracy': 0.7085330776605945} |
| 0.0243 | 110.0 | 3740 | 1.2984 | {'f1': 0.8116747741487144} | {'accuracy': 0.7401725790987536} |
| 0.0243 | 111.0 | 3774 | 2.4166 | {'f1': 0.8304977945809704} | {'accuracy': 0.7420901246404602} |
| 0.0243 | 112.0 | 3808 | 2.4063 | {'f1': 0.8286479250334672} | {'accuracy': 0.7545541706615532} |
| 0.0243 | 113.0 | 3842 | 2.5442 | {'f1': 0.8377544725478101} | {'accuracy': 0.74784276126558} |
| 0.0243 | 114.0 | 3876 | 2.5746 | {'f1': 0.8327228327228328} | {'accuracy': 0.7372962607861937} |
| 0.0243 | 115.0 | 3910 | 2.3220 | {'f1': 0.8315457413249213} | {'accuracy': 0.7440076701821668} |
| 0.0243 | 116.0 | 3944 | 1.6114 | {'f1': 0.8301647655259823} | {'accuracy': 0.7430488974113135} |
| 0.0243 | 117.0 | 3978 | 2.9069 | {'f1': 0.8245717660956882} | {'accuracy': 0.7152444870565676} |
| 0.0222 | 118.0 | 4012 | 2.3299 | {'f1': 0.8295102293862369} | {'accuracy': 0.7363374880153404} |
| 0.0222 | 119.0 | 4046 | 1.9029 | {'f1': 0.8328115216030058} | {'accuracy': 0.7440076701821668} |
| 0.0222 | 120.0 | 4080 | 1.8684 | {'f1': 0.8319123020706456} | {'accuracy': 0.7353787152444871} |
| 0.0222 | 121.0 | 4114 | 2.3230 | {'f1': 0.8233830845771144} | {'accuracy': 0.7277085330776606} |
| 0.0222 | 122.0 | 4148 | 1.7117 | {'f1': 0.8227927363807138} | {'accuracy': 0.7286673058485139} |
| 0.0222 | 123.0 | 4182 | 2.1507 | {'f1': 0.8172715894868587} | {'accuracy': 0.7200383509108341} |
| 0.0222 | 124.0 | 4216 | 1.8650 | {'f1': 0.7955801104972376} | {'accuracy': 0.716203259827421} |
| 0.0222 | 125.0 | 4250 | 1.8793 | {'f1': 0.8193224592220828} | {'accuracy': 0.7238734419942474} |
| 0.0222 | 126.0 | 4284 | 2.6553 | {'f1': 0.8233890214797136} | {'accuracy': 0.716203259827421} |
| 0.0222 | 127.0 | 4318 | 1.2802 | {'f1': 0.8148148148148148} | {'accuracy': 0.7267497603068073} |
| 0.0222 | 128.0 | 4352 | 2.5781 | {'f1': 0.8163530175210901} | {'accuracy': 0.7286673058485139} |
| 0.0222 | 129.0 | 4386 | 2.7981 | {'f1': 0.8256658595641646} | {'accuracy': 0.7238734419942474} |
| 0.0222 | 130.0 | 4420 | 2.8012 | {'f1': 0.8204503956177724} | {'accuracy': 0.7171620325982742} |
| 0.0222 | 131.0 | 4454 | 2.5226 | {'f1': 0.8157401623985009} | {'accuracy': 0.7171620325982742} |
| 0.0222 | 132.0 | 4488 | 2.4552 | {'f1': 0.8199513381995133} | {'accuracy': 0.716203259827421} |
| 0.0372 | 133.0 | 4522 | 1.9021 | {'f1': 0.797324414715719} | {'accuracy': 0.7094918504314478} |
| 0.0372 | 134.0 | 4556 | 2.0639 | {'f1': 0.8026229508196722} | {'accuracy': 0.7114093959731543} |
| 0.0372 | 135.0 | 4590 | 2.2311 | {'f1': 0.8160535117056856} | {'accuracy': 0.7363374880153404} |
| 0.0372 | 136.0 | 4624 | 2.5284 | {'f1': 0.8243992606284659} | {'accuracy': 0.7267497603068073} |
| 0.0372 | 137.0 | 4658 | 2.4167 | {'f1': 0.8247036805988771} | {'accuracy': 0.7305848513902206} |
| 0.0372 | 138.0 | 4692 | 2.6568 | {'f1': 0.8244372990353698} | {'accuracy': 0.738255033557047} |
| 0.0372 | 139.0 | 4726 | 2.2152 | {'f1': 0.8304020100502513} | {'accuracy': 0.7411313518696069} |
| 0.0372 | 140.0 | 4760 | 2.2360 | {'f1': 0.8236048749198204} | {'accuracy': 0.7363374880153404} |
| 0.0372 | 141.0 | 4794 | 2.1537 | {'f1': 0.8233815210559398} | {'accuracy': 0.7305848513902206} |
| 0.0372 | 142.0 | 4828 | 2.7582 | {'f1': 0.8266666666666667} | {'accuracy': 0.725790987535954} |
| 0.0372 | 143.0 | 4862 | 2.6203 | {'f1': 0.8269831355402872} | {'accuracy': 0.7344199424736337} |
| 0.0372 | 144.0 | 4896 | 2.0762 | {'f1': 0.8217054263565892} | {'accuracy': 0.7353787152444871} |
| 0.0372 | 145.0 | 4930 | 1.9867 | {'f1': 0.8187211601845747} | {'accuracy': 0.7363374880153404} |
| 0.0372 | 146.0 | 4964 | 2.3924 | {'f1': 0.8323133414932682} | {'accuracy': 0.7372962607861937} |
| 0.0372 | 147.0 | 4998 | 2.8917 | {'f1': 0.8181268882175228} | {'accuracy': 0.7114093959731543} |
| 0.0237 | 148.0 | 5032 | 1.9651 | {'f1': 0.8228155339805826} | {'accuracy': 0.7200383509108341} |
| 0.0237 | 149.0 | 5066 | 2.7154 | {'f1': 0.8242498469075321} | {'accuracy': 0.7248322147651006} |
| 0.0237 | 150.0 | 5100 | 2.3627 | {'f1': 0.8244274809160305} | {'accuracy': 0.7353787152444871} |
| 0.0237 | 151.0 | 5134 | 2.1442 | {'f1': 0.8219013237063778} | {'accuracy': 0.716203259827421} |
| 0.0237 | 152.0 | 5168 | 2.2215 | {'f1': 0.8286252354048964} | {'accuracy': 0.738255033557047} |
| 0.0237 | 153.0 | 5202 | 2.5071 | {'f1': 0.8232323232323232} | {'accuracy': 0.7315436241610739} |
| 0.0237 | 154.0 | 5236 | 2.7711 | {'f1': 0.8219005663939586} | {'accuracy': 0.7286673058485139} |
| 0.0237 | 155.0 | 5270 | 3.0069 | {'f1': 0.8185758513931888} | {'accuracy': 0.7190795781399808} |
| 0.0237 | 156.0 | 5304 | 3.0085 | {'f1': 0.8216283405842139} | {'accuracy': 0.7248322147651006} |
| 0.0237 | 157.0 | 5338 | 2.9624 | {'f1': 0.8208588957055215} | {'accuracy': 0.7200383509108341} |
| 0.0237 | 158.0 | 5372 | 2.1774 | {'f1': 0.8129117259552042} | {'accuracy': 0.7277085330776606} |
| 0.0237 | 159.0 | 5406 | 1.6617 | {'f1': 0.8022206800832756} | {'accuracy': 0.7267497603068073} |
| 0.0237 | 160.0 | 5440 | 2.1404 | {'f1': 0.8059299191374663} | {'accuracy': 0.7238734419942474} |
| 0.0237 | 161.0 | 5474 | 2.1100 | {'f1': 0.8241626794258373} | {'accuracy': 0.7181208053691275} |
| 0.0175 | 162.0 | 5508 | 2.4209 | {'f1': 0.8274582560296847} | {'accuracy': 0.7325023969319271} |
| 0.0175 | 163.0 | 5542 | 2.3767 | {'f1': 0.8124585818422798} | {'accuracy': 0.7286673058485139} |
| 0.0175 | 164.0 | 5576 | 2.4593 | {'f1': 0.8209134615384616} | {'accuracy': 0.7142857142857143} |
| 0.0175 | 165.0 | 5610 | 2.1189 | {'f1': 0.8123393316195373} | {'accuracy': 0.7200383509108341} |
| 0.0175 | 166.0 | 5644 | 2.3639 | {'f1': 0.8176726820161793} | {'accuracy': 0.7190795781399808} |
| 0.0175 | 167.0 | 5678 | 1.7884 | {'f1': 0.8068107400130975} | {'accuracy': 0.7171620325982742} |
| 0.0175 | 168.0 | 5712 | 2.6118 | {'f1': 0.8242574257425742} | {'accuracy': 0.7277085330776606} |
| 0.0175 | 169.0 | 5746 | 2.5731 | {'f1': 0.8202315661182206} | {'accuracy': 0.7171620325982742} |
| 0.0175 | 170.0 | 5780 | 1.4654 | {'f1': 0.8176100628930817} | {'accuracy': 0.7219558964525408} |
| 0.0175 | 171.0 | 5814 | 2.8536 | {'f1': 0.8052930056710776} | {'accuracy': 0.7037392138063279} |
| 0.0175 | 172.0 | 5848 | 1.3057 | {'f1': 0.8112215078901228} | {'accuracy': 0.6903163950143816} |
| 0.0175 | 173.0 | 5882 | 1.9084 | {'f1': 0.8134092346616065} | {'accuracy': 0.7171620325982742} |
| 0.0175 | 174.0 | 5916 | 1.6759 | {'f1': 0.814400993171943} | {'accuracy': 0.713326941514861} |
| 0.0175 | 175.0 | 5950 | 1.5342 | {'f1': 0.8096096096096096} | {'accuracy': 0.6960690316395014} |
| 0.0175 | 176.0 | 5984 | 2.3149 | {'f1': 0.8164014687882496} | {'accuracy': 0.7123681687440077} |
| 0.0769 | 177.0 | 6018 | 1.6353 | {'f1': 0.8103666245259167} | {'accuracy': 0.7123681687440077} |
| 0.0769 | 178.0 | 6052 | 1.7929 | {'f1': 0.8136246786632391} | {'accuracy': 0.7219558964525408} |
| 0.0769 | 179.0 | 6086 | 1.6099 | {'f1': 0.8143939393939393} | {'accuracy': 0.7181208053691275} |
| 0.0769 | 180.0 | 6120 | 1.6422 | {'f1': 0.8270042194092827} | {'accuracy': 0.7248322147651006} |
| 0.0769 | 181.0 | 6154 | 1.3922 | {'f1': 0.8181818181818182} | {'accuracy': 0.7238734419942474} |
| 0.0769 | 182.0 | 6188 | 1.8030 | {'f1': 0.8256440982624326} | {'accuracy': 0.7209971236816874} |
| 0.0769 | 183.0 | 6222 | 1.8632 | {'f1': 0.8258461538461539} | {'accuracy': 0.7286673058485139} |
| 0.0769 | 184.0 | 6256 | 1.8692 | {'f1': 0.8229607250755288} | {'accuracy': 0.7190795781399808} |
| 0.0769 | 185.0 | 6290 | 2.0595 | {'f1': 0.8218181818181818} | {'accuracy': 0.7181208053691275} |
| 0.0769 | 186.0 | 6324 | 1.8339 | {'f1': 0.8232474535650091} | {'accuracy': 0.7171620325982742} |
| 0.0769 | 187.0 | 6358 | 2.0645 | {'f1': 0.8259010384850337} | {'accuracy': 0.7267497603068073} |
| 0.0769 | 188.0 | 6392 | 2.0225 | {'f1': 0.8241691842900303} | {'accuracy': 0.7209971236816874} |
| 0.0769 | 189.0 | 6426 | 2.2320 | {'f1': 0.8215158924205379} | {'accuracy': 0.7200383509108341} |
| 0.0769 | 190.0 | 6460 | 2.2716 | {'f1': 0.8123815540113708} | {'accuracy': 0.7152444870565676} |
| 0.0769 | 191.0 | 6494 | 2.2353 | {'f1': 0.823529411764706} | {'accuracy': 0.7181208053691275} |
| 0.0456 | 192.0 | 6528 | 2.2473 | {'f1': 0.8124602670057216} | {'accuracy': 0.7171620325982742} |
| 0.0456 | 193.0 | 6562 | 2.4106 | {'f1': 0.8217338217338217} | {'accuracy': 0.7200383509108341} |
| 0.0456 | 194.0 | 6596 | 2.5152 | {'f1': 0.8173374613003097} | {'accuracy': 0.7171620325982742} |
| 0.0456 | 195.0 | 6630 | 2.5724 | {'f1': 0.8159203980099502} | {'accuracy': 0.716203259827421} |
| 0.0456 | 196.0 | 6664 | 2.6925 | {'f1': 0.8204819277108434} | {'accuracy': 0.7142857142857143} |
| 0.0456 | 197.0 | 6698 | 2.8545 | {'f1': 0.814948764315853} | {'accuracy': 0.7056567593480345} |
| 0.0456 | 198.0 | 6732 | 2.9694 | {'f1': 0.8199643493761141} | {'accuracy': 0.7094918504314478} |
| 0.0456 | 199.0 | 6766 | 2.7650 | {'f1': 0.8199879590608068} | {'accuracy': 0.713326941514861} |
| 0.0456 | 200.0 | 6800 | 2.3432 | {'f1': 0.8142948308870452} | {'accuracy': 0.7209971236816874} |
| 0.0456 | 201.0 | 6834 | 2.7643 | {'f1': 0.8196333530455352} | {'accuracy': 0.7075743048897412} |
| 0.0456 | 202.0 | 6868 | 2.1787 | {'f1': 0.8178438661710038} | {'accuracy': 0.7181208053691275} |
| 0.0456 | 203.0 | 6902 | 2.3013 | {'f1': 0.8210140500916311} | {'accuracy': 0.7190795781399808} |
| 0.0456 | 204.0 | 6936 | 1.9841 | {'f1': 0.8043899289864428} | {'accuracy': 0.7094918504314478} |
| 0.0456 | 205.0 | 6970 | 2.2968 | {'f1': 0.8106734434561627} | {'accuracy': 0.7142857142857143} |
| 0.0144 | 206.0 | 7004 | 1.9390 | {'f1': 0.78213058419244} | {'accuracy': 0.6960690316395014} |
| 0.0144 | 207.0 | 7038 | 2.3690 | {'f1': 0.8145363408521303} | {'accuracy': 0.716203259827421} |
| 0.0144 | 208.0 | 7072 | 2.6034 | {'f1': 0.8201438848920862} | {'accuracy': 0.7123681687440077} |
| 0.0144 | 209.0 | 7106 | 2.5823 | {'f1': 0.8176991150442479} | {'accuracy': 0.7037392138063279} |
| 0.0144 | 210.0 | 7140 | 2.6746 | {'f1': 0.8207951070336391} | {'accuracy': 0.7190795781399808} |
| 0.0144 | 211.0 | 7174 | 2.7955 | {'f1': 0.818840579710145} | {'accuracy': 0.7123681687440077} |
| 0.0144 | 212.0 | 7208 | 2.6583 | {'f1': 0.8136449778900822} | {'accuracy': 0.7171620325982742} |
| 0.0144 | 213.0 | 7242 | 2.8005 | {'f1': 0.8147684605757197} | {'accuracy': 0.716203259827421} |
| 0.0144 | 214.0 | 7276 | 2.4698 | {'f1': 0.8265682656826568} | {'accuracy': 0.7296260786193672} |
| 0.0144 | 215.0 | 7310 | 2.3847 | {'f1': 0.8299643281807372} | {'accuracy': 0.725790987535954} |
| 0.0144 | 216.0 | 7344 | 2.3637 | {'f1': 0.8163771712158809} | {'accuracy': 0.716203259827421} |
| 0.0144 | 217.0 | 7378 | 2.5845 | {'f1': 0.8238770685579196} | {'accuracy': 0.7142857142857143} |
| 0.0144 | 218.0 | 7412 | 2.3325 | {'f1': 0.8077170418006431} | {'accuracy': 0.713326941514861} |
| 0.0144 | 219.0 | 7446 | 2.6332 | {'f1': 0.8156424581005587} | {'accuracy': 0.7152444870565676} |
| 0.0144 | 220.0 | 7480 | 2.0546 | {'f1': 0.8194528875379938} | {'accuracy': 0.7152444870565676} |
| 0.0276 | 221.0 | 7514 | 2.8285 | {'f1': 0.8191044776119403} | {'accuracy': 0.7094918504314478} |
| 0.0276 | 222.0 | 7548 | 2.5809 | {'f1': 0.8186779866585809} | {'accuracy': 0.713326941514861} |
| 0.0276 | 223.0 | 7582 | 2.7430 | {'f1': 0.8174019607843137} | {'accuracy': 0.7142857142857143} |
| 0.0276 | 224.0 | 7616 | 2.8733 | {'f1': 0.8158220024721878} | {'accuracy': 0.7142857142857143} |
| 0.0276 | 225.0 | 7650 | 2.9659 | {'f1': 0.8158220024721878} | {'accuracy': 0.7142857142857143} |
| 0.0276 | 226.0 | 7684 | 3.0364 | {'f1': 0.8158220024721878} | {'accuracy': 0.7142857142857143} |
| 0.0276 | 227.0 | 7718 | 3.0940 | {'f1': 0.8150896722325294} | {'accuracy': 0.713326941514861} |
| 0.0276 | 228.0 | 7752 | 3.1956 | {'f1': 0.8190018039687311} | {'accuracy': 0.7114093959731543} |
| 0.0276 | 229.0 | 7786 | 2.7175 | {'f1': 0.8157276995305165} | {'accuracy': 0.6989453499520614} |
| 0.0276 | 230.0 | 7820 | 2.4481 | {'f1': 0.8073278584965256} | {'accuracy': 0.7075743048897412} |
| 0.0276 | 231.0 | 7854 | 2.4388 | {'f1': 0.7924016282225238} | {'accuracy': 0.7066155321188878} |
| 0.0276 | 232.0 | 7888 | 2.5369 | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0276 | 233.0 | 7922 | 1.3974 | {'f1': 0.7896879240162822} | {'accuracy': 0.7027804410354745} |
| 0.0276 | 234.0 | 7956 | 2.4634 | {'f1': 0.8192192192192193} | {'accuracy': 0.7114093959731543} |
| 0.0276 | 235.0 | 7990 | 1.6324 | {'f1': 0.8139109212934718} | {'accuracy': 0.7075743048897412} |
| 0.0263 | 236.0 | 8024 | 2.0045 | {'f1': 0.8182941903584672} | {'accuracy': 0.7181208053691275} |
| 0.0263 | 237.0 | 8058 | 2.7396 | {'f1': 0.8199052132701421} | {'accuracy': 0.7085330776605945} |
| 0.0263 | 238.0 | 8092 | 2.2198 | {'f1': 0.813027744270205} | {'accuracy': 0.7027804410354745} |
| 0.0263 | 239.0 | 8126 | 2.5940 | {'f1': 0.8005034612964129} | {'accuracy': 0.6960690316395014} |
| 0.0263 | 240.0 | 8160 | 2.7040 | {'f1': 0.7987261146496815} | {'accuracy': 0.6970278044103547} |
| 0.0263 | 241.0 | 8194 | 2.6868 | {'f1': 0.8102053515868076} | {'accuracy': 0.7075743048897412} |
| 0.0263 | 242.0 | 8228 | 2.4626 | {'f1': 0.8020113136392206} | {'accuracy': 0.697986577181208} |
| 0.0263 | 243.0 | 8262 | 2.5253 | {'f1': 0.8169350029815148} | {'accuracy': 0.7056567593480345} |
| 0.0263 | 244.0 | 8296 | 2.3396 | {'f1': 0.8096118299445472} | {'accuracy': 0.7037392138063279} |
| 0.0263 | 245.0 | 8330 | 2.3512 | {'f1': 0.8128342245989304} | {'accuracy': 0.697986577181208} |
| 0.0263 | 246.0 | 8364 | 2.6148 | {'f1': 0.8156956004756243} | {'accuracy': 0.7027804410354745} |
| 0.0263 | 247.0 | 8398 | 1.9097 | {'f1': 0.8177458033573142} | {'accuracy': 0.7085330776605945} |
| 0.0263 | 248.0 | 8432 | 1.7422 | {'f1': 0.8050314465408805} | {'accuracy': 0.7027804410354745} |
| 0.0263 | 249.0 | 8466 | 2.4887 | {'f1': 0.8105330764290302} | {'accuracy': 0.7171620325982742} |
| 0.0383 | 250.0 | 8500 | 2.1174 | {'f1': 0.8236686390532545} | {'accuracy': 0.7142857142857143} |
| 0.0383 | 251.0 | 8534 | 1.6796 | {'f1': 0.8185654008438819} | {'accuracy': 0.7114093959731543} |
| 0.0383 | 252.0 | 8568 | 2.3619 | {'f1': 0.8167664670658682} | {'accuracy': 0.7066155321188878} |
| 0.0383 | 253.0 | 8602 | 2.3370 | {'f1': 0.8143486469477659} | {'accuracy': 0.7171620325982742} |
| 0.0383 | 254.0 | 8636 | 1.8513 | {'f1': 0.8129189518586227} | {'accuracy': 0.7056567593480345} |
| 0.0383 | 255.0 | 8670 | 2.4686 | {'f1': 0.8088779284833539} | {'accuracy': 0.7027804410354745} |
| 0.0383 | 256.0 | 8704 | 2.6399 | {'f1': 0.807906114885732} | {'accuracy': 0.7018216682646213} |
| 0.0383 | 257.0 | 8738 | 2.1192 | {'f1': 0.8126906650396583} | {'accuracy': 0.7056567593480345} |
| 0.0383 | 258.0 | 8772 | 2.2253 | {'f1': 0.8166465621230398} | {'accuracy': 0.7085330776605945} |
| 0.0383 | 259.0 | 8806 | 2.4516 | {'f1': 0.819277108433735} | {'accuracy': 0.7123681687440077} |
| 0.0383 | 260.0 | 8840 | 2.2176 | {'f1': 0.8179581795817958} | {'accuracy': 0.716203259827421} |
| 0.0383 | 261.0 | 8874 | 2.1764 | {'f1': 0.8175270108043217} | {'accuracy': 0.7085330776605945} |
| 0.0383 | 262.0 | 8908 | 2.3241 | {'f1': 0.8189550425273389} | {'accuracy': 0.7142857142857143} |
| 0.0383 | 263.0 | 8942 | 2.6421 | {'f1': 0.8176927674835625} | {'accuracy': 0.7075743048897412} |
| 0.0383 | 264.0 | 8976 | 2.7821 | {'f1': 0.8122743682310469} | {'accuracy': 0.700862895493768} |
| 0.0197 | 265.0 | 9010 | 2.1698 | {'f1': 0.808457711442786} | {'accuracy': 0.7046979865771812} |
| 0.0197 | 266.0 | 9044 | 2.5582 | {'f1': 0.8138173302107728} | {'accuracy': 0.6951102588686481} |
| 0.0197 | 267.0 | 9078 | 2.4377 | {'f1': 0.817751479289941} | {'accuracy': 0.7046979865771812} |
| 0.0197 | 268.0 | 9112 | 2.2256 | {'f1': 0.8071915685058897} | {'accuracy': 0.7018216682646213} |
| 0.0197 | 269.0 | 9146 | 2.4953 | {'f1': 0.796078431372549} | {'accuracy': 0.700862895493768} |
| 0.0197 | 270.0 | 9180 | 2.4252 | {'f1': 0.7908163265306123} | {'accuracy': 0.6855225311601151} |
| 0.0197 | 271.0 | 9214 | 2.5366 | {'f1': 0.8093730208993034} | {'accuracy': 0.7114093959731543} |
| 0.0197 | 272.0 | 9248 | 2.4671 | {'f1': 0.811844540407156} | {'accuracy': 0.7075743048897412} |
| 0.0197 | 273.0 | 9282 | 2.7775 | {'f1': 0.8165191740412979} | {'accuracy': 0.7018216682646213} |
| 0.0197 | 274.0 | 9316 | 2.0342 | {'f1': 0.8054187192118226} | {'accuracy': 0.6970278044103547} |
| 0.0197 | 275.0 | 9350 | 1.8180 | {'f1': 0.7923784494086726} | {'accuracy': 0.6970278044103547} |
| 0.0197 | 276.0 | 9384 | 2.0335 | {'f1': 0.7913760304375396} | {'accuracy': 0.6845637583892618} |
| 0.0197 | 277.0 | 9418 | 2.6391 | {'f1': 0.8055388320288983} | {'accuracy': 0.6903163950143816} |
| 0.0197 | 278.0 | 9452 | 2.5382 | {'f1': 0.804611650485437} | {'accuracy': 0.6912751677852349} |
| 0.0197 | 279.0 | 9486 | 2.4982 | {'f1': 0.8049230769230769} | {'accuracy': 0.6960690316395014} |
| 0.0321 | 280.0 | 9520 | 2.8057 | {'f1': 0.8012269938650307} | {'accuracy': 0.6893576222435283} |
| 0.0321 | 281.0 | 9554 | 2.6512 | {'f1': 0.792258064516129} | {'accuracy': 0.6912751677852349} |
| 0.0321 | 282.0 | 9588 | 2.6129 | {'f1': 0.8098461538461539} | {'accuracy': 0.7037392138063279} |
| 0.0321 | 283.0 | 9622 | 2.8096 | {'f1': 0.8082706766917293} | {'accuracy': 0.7066155321188878} |
| 0.0321 | 284.0 | 9656 | 2.7674 | {'f1': 0.7834776815456362} | {'accuracy': 0.6883988494726749} |
| 0.0321 | 285.0 | 9690 | 2.8498 | {'f1': 0.7839464882943145} | {'accuracy': 0.6903163950143816} |
| 0.0321 | 286.0 | 9724 | 2.7033 | {'f1': 0.7979734008866372} | {'accuracy': 0.6941514860977949} |
| 0.0321 | 287.0 | 9758 | 3.1295 | {'f1': 0.7999999999999999} | {'accuracy': 0.6874400767018217} |
| 0.0321 | 288.0 | 9792 | 1.7794 | {'f1': 0.7852921864740643} | {'accuracy': 0.6864813039309684} |
| 0.0321 | 289.0 | 9826 | 2.7550 | {'f1': 0.7669172932330827} | {'accuracy': 0.673058485139022} |
| 0.0321 | 290.0 | 9860 | 1.8721 | {'f1': 0.7938931297709924} | {'accuracy': 0.6893576222435283} |
| 0.0321 | 291.0 | 9894 | 2.6713 | {'f1': 0.8060975609756098} | {'accuracy': 0.6951102588686481} |
| 0.0321 | 292.0 | 9928 | 2.5761 | {'f1': 0.8039702233250621} | {'accuracy': 0.6970278044103547} |
| 0.0321 | 293.0 | 9962 | 2.6664 | {'f1': 0.8007590132827325} | {'accuracy': 0.697986577181208} |
| 0.0321 | 294.0 | 9996 | 2.5513 | {'f1': 0.7948387096774193} | {'accuracy': 0.6951102588686481} |
| 0.0289 | 295.0 | 10030 | 2.3268 | {'f1': 0.8015267175572519} | {'accuracy': 0.700862895493768} |
| 0.0289 | 296.0 | 10064 | 2.5763 | {'f1': 0.784625579854208} | {'accuracy': 0.6883988494726749} |
| 0.0289 | 297.0 | 10098 | 2.2504 | {'f1': 0.8108426635238656} | {'accuracy': 0.6922339405560882} |
| 0.0289 | 298.0 | 10132 | 2.6476 | {'f1': 0.8073394495412844} | {'accuracy': 0.697986577181208} |
| 0.0289 | 299.0 | 10166 | 2.6957 | {'f1': 0.7937336814621411} | {'accuracy': 0.6970278044103547} |
| 0.0289 | 300.0 | 10200 | 2.9242 | {'f1': 0.7987460815047022} | {'accuracy': 0.6922339405560882} |
| 0.0289 | 301.0 | 10234 | 2.8471 | {'f1': 0.8084848484848486} | {'accuracy': 0.6970278044103547} |
| 0.0289 | 302.0 | 10268 | 3.0726 | {'f1': 0.8124625524266027} | {'accuracy': 0.6999041227229147} |
| 0.0289 | 303.0 | 10302 | 2.4613 | {'f1': 0.7974603174603174} | {'accuracy': 0.6941514860977949} |
| 0.0289 | 304.0 | 10336 | 2.6275 | {'f1': 0.7997473152242578} | {'accuracy': 0.6960690316395014} |
| 0.0289 | 305.0 | 10370 | 2.8140 | {'f1': 0.7710526315789473} | {'accuracy': 0.6663470757430489} |
| 0.0289 | 306.0 | 10404 | 2.8392 | {'f1': 0.7936313533374157} | {'accuracy': 0.6768935762224353} |
| 0.0289 | 307.0 | 10438 | 1.8771 | {'f1': 0.8108761329305136} | {'accuracy': 0.6999041227229147} |
| 0.0289 | 308.0 | 10472 | 2.9128 | {'f1': 0.8192056905749853} | {'accuracy': 0.7075743048897412} |
| 0.0191 | 309.0 | 10506 | 2.6985 | {'f1': 0.7925016160310279} | {'accuracy': 0.6922339405560882} |
| 0.0191 | 310.0 | 10540 | 2.6488 | {'f1': 0.8071034905082669} | {'accuracy': 0.697986577181208} |
| 0.0191 | 311.0 | 10574 | 2.6955 | {'f1': 0.8086153846153846} | {'accuracy': 0.7018216682646213} |
| 0.0191 | 312.0 | 10608 | 2.6665 | {'f1': 0.8022670025188916} | {'accuracy': 0.6989453499520614} |
| 0.0191 | 313.0 | 10642 | 2.8843 | {'f1': 0.7951959544879897} | {'accuracy': 0.6893576222435283} |
| 0.0191 | 314.0 | 10676 | 2.4015 | {'f1': 0.8046683046683046} | {'accuracy': 0.6951102588686481} |
| 0.0191 | 315.0 | 10710 | 3.2248 | {'f1': 0.8046971569839309} | {'accuracy': 0.6970278044103547} |
| 0.0191 | 316.0 | 10744 | 3.5892 | {'f1': 0.771789753825682} | {'accuracy': 0.6711409395973155} |
| 0.0191 | 317.0 | 10778 | 2.6392 | {'f1': 0.8169350029815148} | {'accuracy': 0.7056567593480345} |
| 0.0191 | 318.0 | 10812 | 2.6788 | {'f1': 0.8186779866585809} | {'accuracy': 0.713326941514861} |
| 0.0191 | 319.0 | 10846 | 2.0619 | {'f1': 0.8045112781954888} | {'accuracy': 0.700862895493768} |
| 0.0191 | 320.0 | 10880 | 3.0131 | {'f1': 0.8109756097560975} | {'accuracy': 0.7027804410354745} |
| 0.0191 | 321.0 | 10914 | 2.4328 | {'f1': 0.8105832832230907} | {'accuracy': 0.697986577181208} |
| 0.0191 | 322.0 | 10948 | 2.4565 | {'f1': 0.8140096618357487} | {'accuracy': 0.7046979865771812} |
| 0.0191 | 323.0 | 10982 | 2.7335 | {'f1': 0.808457711442786} | {'accuracy': 0.7046979865771812} |
| 0.0264 | 324.0 | 11016 | 2.1732 | {'f1': 0.7844940867279895} | {'accuracy': 0.6855225311601151} |
| 0.0264 | 325.0 | 11050 | 2.5156 | {'f1': 0.8037383177570093} | {'accuracy': 0.697986577181208} |
| 0.0264 | 326.0 | 11084 | 2.2581 | {'f1': 0.7992448080553808} | {'accuracy': 0.6941514860977949} |
| 0.0264 | 327.0 | 11118 | 2.4412 | {'f1': 0.8078575813382443} | {'accuracy': 0.6999041227229147} |
| 0.0264 | 328.0 | 11152 | 2.6115 | {'f1': 0.7944162436548224} | {'accuracy': 0.6893576222435283} |
| 0.0264 | 329.0 | 11186 | 2.5987 | {'f1': 0.8150807899461401} | {'accuracy': 0.7037392138063279} |
| 0.0264 | 330.0 | 11220 | 2.7642 | {'f1': 0.7842622950819672} | {'accuracy': 0.6845637583892618} |
| 0.0264 | 331.0 | 11254 | 3.0348 | {'f1': 0.8152109328579916} | {'accuracy': 0.7018216682646213} |
| 0.0264 | 332.0 | 11288 | 2.9796 | {'f1': 0.808638272345531} | {'accuracy': 0.6941514860977949} |
| 0.0264 | 333.0 | 11322 | 2.5212 | {'f1': 0.7929069031032299} | {'accuracy': 0.6864813039309684} |
| 0.0264 | 334.0 | 11356 | 2.5243 | {'f1': 0.8029286150091519} | {'accuracy': 0.6903163950143816} |
| 0.0264 | 335.0 | 11390 | 2.4407 | {'f1': 0.8} | {'accuracy': 0.6912751677852349} |
| 0.0264 | 336.0 | 11424 | 2.8354 | {'f1': 0.80955223880597} | {'accuracy': 0.6941514860977949} |
| 0.0264 | 337.0 | 11458 | 2.8169 | {'f1': 0.8155223880597016} | {'accuracy': 0.7037392138063279} |
| 0.0264 | 338.0 | 11492 | 2.4432 | {'f1': 0.8027812895069533} | {'accuracy': 0.700862895493768} |
| 0.0234 | 339.0 | 11526 | 2.0731 | {'f1': 0.8143283582089553} | {'accuracy': 0.7018216682646213} |
| 0.0234 | 340.0 | 11560 | 2.4816 | {'f1': 0.8040201005025126} | {'accuracy': 0.700862895493768} |
| 0.0234 | 341.0 | 11594 | 2.4913 | {'f1': 0.8047761194029851} | {'accuracy': 0.6864813039309684} |
| 0.0234 | 342.0 | 11628 | 2.5327 | {'f1': 0.8021911138161899} | {'accuracy': 0.6883988494726749} |
| 0.0234 | 343.0 | 11662 | 2.8197 | {'f1': 0.7936507936507936} | {'accuracy': 0.6883988494726749} |
| 0.0234 | 344.0 | 11696 | 2.8316 | {'f1': 0.8019441069258809} | {'accuracy': 0.6874400767018217} |
| 0.0234 | 345.0 | 11730 | 3.1145 | {'f1': 0.806006006006006} | {'accuracy': 0.6903163950143816} |
| 0.0234 | 346.0 | 11764 | 3.2189 | {'f1': 0.7952410770194114} | {'accuracy': 0.6864813039309684} |
| 0.0234 | 347.0 | 11798 | 2.8609 | {'f1': 0.8029286150091519} | {'accuracy': 0.6903163950143816} |
| 0.0234 | 348.0 | 11832 | 2.6490 | {'f1': 0.8088942307692307} | {'accuracy': 0.6951102588686481} |
| 0.0234 | 349.0 | 11866 | 2.6973 | {'f1': 0.8100059559261464} | {'accuracy': 0.6941514860977949} |
| 0.0234 | 350.0 | 11900 | 2.7688 | {'f1': 0.7927363807138385} | {'accuracy': 0.6826462128475551} |
| 0.0234 | 351.0 | 11934 | 3.2197 | {'f1': 0.8085106382978723} | {'accuracy': 0.697986577181208} |
| 0.0234 | 352.0 | 11968 | 2.7195 | {'f1': 0.8024767801857585} | {'accuracy': 0.6941514860977949} |
| 0.0245 | 353.0 | 12002 | 3.1067 | {'f1': 0.8022181146025877} | {'accuracy': 0.6922339405560882} |
| 0.0245 | 354.0 | 12036 | 2.7308 | {'f1': 0.8014934660858744} | {'accuracy': 0.6941514860977949} |
| 0.0245 | 355.0 | 12070 | 2.6783 | {'f1': 0.7590027700831025} | {'accuracy': 0.6663470757430489} |
| 0.0245 | 356.0 | 12104 | 2.9525 | {'f1': 0.7980295566502463} | {'accuracy': 0.6855225311601151} |
| 0.0245 | 357.0 | 12138 | 2.0407 | {'f1': 0.7894736842105263} | {'accuracy': 0.6778523489932886} |
| 0.0245 | 358.0 | 12172 | 2.7633 | {'f1': 0.7912772585669782} | {'accuracy': 0.6788111217641419} |
| 0.0245 | 359.0 | 12206 | 2.8677 | {'f1': 0.7930607187112765} | {'accuracy': 0.6797698945349953} |
| 0.0245 | 360.0 | 12240 | 2.8494 | {'f1': 0.7707253886010362} | {'accuracy': 0.660594439117929} |
| 0.0245 | 361.0 | 12274 | 2.8576 | {'f1': 0.8019382192610539} | {'accuracy': 0.6864813039309684} |
| 0.0245 | 362.0 | 12308 | 2.8967 | {'f1': 0.7985257985257984} | {'accuracy': 0.6855225311601151} |
| 0.0245 | 363.0 | 12342 | 2.8802 | {'f1': 0.7932816537467701} | {'accuracy': 0.6931927133269415} |
| 0.0245 | 364.0 | 12376 | 2.5817 | {'f1': 0.8051157125456762} | {'accuracy': 0.6931927133269415} |
| 0.0245 | 365.0 | 12410 | 2.7981 | {'f1': 0.7920665387076135} | {'accuracy': 0.6883988494726749} |
| 0.0245 | 366.0 | 12444 | 3.0160 | {'f1': 0.8005003126954346} | {'accuracy': 0.6941514860977949} |
| 0.0245 | 367.0 | 12478 | 2.7815 | {'f1': 0.7984693877551021} | {'accuracy': 0.6970278044103547} |
| 0.0287 | 368.0 | 12512 | 2.0043 | {'f1': 0.7766097240473062} | {'accuracy': 0.6740172579098753} |
| 0.0287 | 369.0 | 12546 | 2.0131 | {'f1': 0.7906976744186046} | {'accuracy': 0.6807286673058485} |
| 0.0287 | 370.0 | 12580 | 2.6232 | {'f1': 0.809437386569873} | {'accuracy': 0.697986577181208} |
| 0.0287 | 371.0 | 12614 | 2.5196 | {'f1': 0.8078335373317013} | {'accuracy': 0.6989453499520614} |
| 0.0287 | 372.0 | 12648 | 2.5091 | {'f1': 0.7905188981422164} | {'accuracy': 0.6864813039309684} |
| 0.0287 | 373.0 | 12682 | 2.2217 | {'f1': 0.7989789406509252} | {'accuracy': 0.697986577181208} |
| 0.0287 | 374.0 | 12716 | 2.7195 | {'f1': 0.752542372881356} | {'accuracy': 0.6500479386385427} |
| 0.0287 | 375.0 | 12750 | 3.3864 | {'f1': 0.8080094228504121} | {'accuracy': 0.6874400767018217} |
| 0.0287 | 376.0 | 12784 | 2.5741 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0287 | 377.0 | 12818 | 2.7862 | {'f1': 0.7705570291777187} | {'accuracy': 0.6682646212847555} |
| 0.0287 | 378.0 | 12852 | 2.1766 | {'f1': 0.7924281984334203} | {'accuracy': 0.6951102588686481} |
| 0.0287 | 379.0 | 12886 | 2.6056 | {'f1': 0.7982565379825654} | {'accuracy': 0.6893576222435283} |
| 0.0287 | 380.0 | 12920 | 2.6806 | {'f1': 0.7941550190597205} | {'accuracy': 0.6893576222435283} |
| 0.0287 | 381.0 | 12954 | 2.6753 | {'f1': 0.7843388960205392} | {'accuracy': 0.6778523489932886} |
| 0.0287 | 382.0 | 12988 | 2.1802 | {'f1': 0.7699530516431926} | {'accuracy': 0.6711409395973155} |
| 0.0322 | 383.0 | 13022 | 2.9927 | {'f1': 0.8021844660194175} | {'accuracy': 0.6874400767018217} |
| 0.0322 | 384.0 | 13056 | 3.0037 | {'f1': 0.8085106382978723} | {'accuracy': 0.697986577181208} |
| 0.0322 | 385.0 | 13090 | 3.0840 | {'f1': 0.8129189518586227} | {'accuracy': 0.7056567593480345} |
| 0.0322 | 386.0 | 13124 | 3.1350 | {'f1': 0.8} | {'accuracy': 0.6845637583892618} |
| 0.0322 | 387.0 | 13158 | 2.8623 | {'f1': 0.7934714375392342} | {'accuracy': 0.6845637583892618} |
| 0.0322 | 388.0 | 13192 | 2.8864 | {'f1': 0.7985166872682324} | {'accuracy': 0.6874400767018217} |
| 0.0322 | 389.0 | 13226 | 2.6276 | {'f1': 0.802647412755716} | {'accuracy': 0.6855225311601151} |
| 0.0322 | 390.0 | 13260 | 3.2797 | {'f1': 0.7983142685129438} | {'accuracy': 0.6788111217641419} |
| 0.0322 | 391.0 | 13294 | 3.5592 | {'f1': 0.7953995157384988} | {'accuracy': 0.675934803451582} |
| 0.0322 | 392.0 | 13328 | 2.7209 | {'f1': 0.795046439628483} | {'accuracy': 0.6826462128475551} |
| 0.0322 | 393.0 | 13362 | 2.9198 | {'f1': 0.7960199004975124} | {'accuracy': 0.6855225311601151} |
| 0.0322 | 394.0 | 13396 | 3.2461 | {'f1': 0.802647412755716} | {'accuracy': 0.6855225311601151} |
| 0.0322 | 395.0 | 13430 | 2.5173 | {'f1': 0.7906691221608348} | {'accuracy': 0.673058485139022} |
| 0.0322 | 396.0 | 13464 | 2.8981 | {'f1': 0.7916666666666667} | {'accuracy': 0.6740172579098753} |
| 0.0322 | 397.0 | 13498 | 3.2418 | {'f1': 0.7943868212324589} | {'accuracy': 0.6768935762224353} |
| 0.0154 | 398.0 | 13532 | 3.3778 | {'f1': 0.7970838396111787} | {'accuracy': 0.6797698945349953} |
| 0.0154 | 399.0 | 13566 | 3.4636 | {'f1': 0.796116504854369} | {'accuracy': 0.6778523489932886} |
| 0.0154 | 400.0 | 13600 | 3.5701 | {'f1': 0.7997587454764777} | {'accuracy': 0.6816874400767018} |
| 0.0154 | 401.0 | 13634 | 3.3973 | {'f1': 0.7815502882767456} | {'accuracy': 0.673058485139022} |
| 0.0154 | 402.0 | 13668 | 2.8225 | {'f1': 0.772093023255814} | {'accuracy': 0.6711409395973155} |
| 0.0154 | 403.0 | 13702 | 3.1090 | {'f1': 0.7793058284217419} | {'accuracy': 0.6768935762224353} |
| 0.0154 | 404.0 | 13736 | 2.1860 | {'f1': 0.7841409691629956} | {'accuracy': 0.6711409395973155} |
| 0.0154 | 405.0 | 13770 | 2.4481 | {'f1': 0.8007357449417535} | {'accuracy': 0.6883988494726749} |
| 0.0154 | 406.0 | 13804 | 2.4596 | {'f1': 0.7916921197312156} | {'accuracy': 0.673058485139022} |
| 0.0154 | 407.0 | 13838 | 2.7870 | {'f1': 0.7987841945288754} | {'accuracy': 0.6826462128475551} |
| 0.0154 | 408.0 | 13872 | 2.9150 | {'f1': 0.7550744248985115} | {'accuracy': 0.6529242569511026} |
| 0.0154 | 409.0 | 13906 | 3.1981 | {'f1': 0.7987878787878788} | {'accuracy': 0.6816874400767018} |
| 0.0154 | 410.0 | 13940 | 2.6394 | {'f1': 0.7584803256445048} | {'accuracy': 0.6586768935762224} |
| 0.0154 | 411.0 | 13974 | 3.2441 | {'f1': 0.7830487033523087} | {'accuracy': 0.6711409395973155} |
| 0.0246 | 412.0 | 14008 | 1.9225 | {'f1': 0.7932542161149281} | {'accuracy': 0.6826462128475551} |
| 0.0246 | 413.0 | 14042 | 2.8459 | {'f1': 0.8021582733812949} | {'accuracy': 0.6836049856184084} |
| 0.0246 | 414.0 | 14076 | 2.3998 | {'f1': 0.7649456521739131} | {'accuracy': 0.6682646212847555} |
| 0.0246 | 415.0 | 14110 | 2.5070 | {'f1': 0.7926153846153846} | {'accuracy': 0.6768935762224353} |
| 0.0246 | 416.0 | 14144 | 2.8392 | {'f1': 0.792803970223325} | {'accuracy': 0.6797698945349953} |
| 0.0246 | 417.0 | 14178 | 2.6709 | {'f1': 0.7834920634920634} | {'accuracy': 0.673058485139022} |
| 0.0246 | 418.0 | 14212 | 2.6464 | {'f1': 0.7607687210072895} | {'accuracy': 0.6538830297219559} |
| 0.0246 | 419.0 | 14246 | 2.4901 | {'f1': 0.7862595419847329} | {'accuracy': 0.6778523489932886} |
| 0.0246 | 420.0 | 14280 | 2.7183 | {'f1': 0.7941176470588236} | {'accuracy': 0.6778523489932886} |
| 0.0246 | 421.0 | 14314 | 2.7430 | {'f1': 0.7929354445797808} | {'accuracy': 0.6740172579098753} |
| 0.0246 | 422.0 | 14348 | 2.7222 | {'f1': 0.8098303101228789} | {'accuracy': 0.6883988494726749} |
| 0.0246 | 423.0 | 14382 | 2.5541 | {'f1': 0.808460634547591} | {'accuracy': 0.6874400767018217} |
| 0.0246 | 424.0 | 14416 | 1.8433 | {'f1': 0.8071005917159764} | {'accuracy': 0.6874400767018217} |
| 0.0246 | 425.0 | 14450 | 2.4023 | {'f1': 0.8031591737545565} | {'accuracy': 0.6893576222435283} |
| 0.0246 | 426.0 | 14484 | 2.7572 | {'f1': 0.8065099457504521} | {'accuracy': 0.6922339405560882} |
| 0.0298 | 427.0 | 14518 | 2.9170 | {'f1': 0.8004866180048662} | {'accuracy': 0.6855225311601151} |
| 0.0298 | 428.0 | 14552 | 2.9968 | {'f1': 0.8004895960832313} | {'accuracy': 0.6874400767018217} |
| 0.0298 | 429.0 | 14586 | 3.0717 | {'f1': 0.7879564381806533} | {'accuracy': 0.6826462128475551} |
| 0.0298 | 430.0 | 14620 | 2.8599 | {'f1': 0.8046826863832409} | {'accuracy': 0.6960690316395014} |
| 0.0298 | 431.0 | 14654 | 3.0849 | {'f1': 0.8071216617210683} | {'accuracy': 0.6883988494726749} |
| 0.0298 | 432.0 | 14688 | 2.7714 | {'f1': 0.8022181146025877} | {'accuracy': 0.6922339405560882} |
| 0.0298 | 433.0 | 14722 | 2.6938 | {'f1': 0.8029465930018418} | {'accuracy': 0.6922339405560882} |
| 0.0298 | 434.0 | 14756 | 2.7550 | {'f1': 0.8038858530661809} | {'accuracy': 0.6903163950143816} |
| 0.0298 | 435.0 | 14790 | 1.9061 | {'f1': 0.7867600254614894} | {'accuracy': 0.6788111217641419} |
| 0.0298 | 436.0 | 14824 | 2.7544 | {'f1': 0.7880299251870324} | {'accuracy': 0.6740172579098753} |
| 0.0298 | 437.0 | 14858 | 2.7302 | {'f1': 0.7707509881422924} | {'accuracy': 0.6663470757430489} |
| 0.0298 | 438.0 | 14892 | 2.8258 | {'f1': 0.7985074626865672} | {'accuracy': 0.6893576222435283} |
| 0.0298 | 439.0 | 14926 | 2.8192 | {'f1': 0.797560975609756} | {'accuracy': 0.6816874400767018} |
| 0.0298 | 440.0 | 14960 | 2.7873 | {'f1': 0.8077154912597951} | {'accuracy': 0.6941514860977949} |
| 0.0298 | 441.0 | 14994 | 2.8090 | {'f1': 0.7942643391521197} | {'accuracy': 0.6836049856184084} |
| 0.0156 | 442.0 | 15028 | 2.9247 | {'f1': 0.8053044002411092} | {'accuracy': 0.6903163950143816} |
| 0.0156 | 443.0 | 15062 | 2.9859 | {'f1': 0.8029286150091519} | {'accuracy': 0.6903163950143816} |
| 0.0156 | 444.0 | 15096 | 3.0646 | {'f1': 0.8053365676167373} | {'accuracy': 0.6922339405560882} |
| 0.0156 | 445.0 | 15130 | 3.0936 | {'f1': 0.7934508816120905} | {'accuracy': 0.6855225311601151} |
| 0.0156 | 446.0 | 15164 | 2.9339 | {'f1': 0.789937106918239} | {'accuracy': 0.6797698945349953} |
| 0.0156 | 447.0 | 15198 | 3.0919 | {'f1': 0.8019500304692261} | {'accuracy': 0.6883988494726749} |
| 0.0156 | 448.0 | 15232 | 2.4511 | {'f1': 0.8043478260869564} | {'accuracy': 0.6893576222435283} |
| 0.0156 | 449.0 | 15266 | 2.6809 | {'f1': 0.795525170913611} | {'accuracy': 0.6845637583892618} |
| 0.0156 | 450.0 | 15300 | 2.8962 | {'f1': 0.7883026064844246} | {'accuracy': 0.6807286673058485} |
| 0.0156 | 451.0 | 15334 | 2.1140 | {'f1': 0.8065296251511487} | {'accuracy': 0.6931927133269415} |
| 0.0156 | 452.0 | 15368 | 2.7246 | {'f1': 0.8083333333333335} | {'accuracy': 0.6912751677852349} |
| 0.0156 | 453.0 | 15402 | 2.8634 | {'f1': 0.8132780082987553} | {'accuracy': 0.697986577181208} |
| 0.0156 | 454.0 | 15436 | 2.8211 | {'f1': 0.7878033602986932} | {'accuracy': 0.673058485139022} |
| 0.0156 | 455.0 | 15470 | 2.2917 | {'f1': 0.7707253886010362} | {'accuracy': 0.660594439117929} |
| 0.0228 | 456.0 | 15504 | 1.8964 | {'f1': 0.7787723785166241} | {'accuracy': 0.6682646212847555} |
| 0.0228 | 457.0 | 15538 | 2.5557 | {'f1': 0.8040260509177029} | {'accuracy': 0.6826462128475551} |
| 0.0228 | 458.0 | 15572 | 1.8647 | {'f1': 0.8096641131408367} | {'accuracy': 0.6903163950143816} |
| 0.0228 | 459.0 | 15606 | 1.4602 | {'f1': 0.7719072164948454} | {'accuracy': 0.660594439117929} |
| 0.0228 | 460.0 | 15640 | 2.5996 | {'f1': 0.7972972972972974} | {'accuracy': 0.6836049856184084} |
| 0.0228 | 461.0 | 15674 | 2.9057 | {'f1': 0.8091511137868754} | {'accuracy': 0.6960690316395014} |
| 0.0228 | 462.0 | 15708 | 3.2169 | {'f1': 0.8085867620751341} | {'accuracy': 0.6922339405560882} |
| 0.0228 | 463.0 | 15742 | 2.8583 | {'f1': 0.7846829880728186} | {'accuracy': 0.6711409395973155} |
| 0.0228 | 464.0 | 15776 | 3.3168 | {'f1': 0.8059701492537312} | {'accuracy': 0.6883988494726749} |
| 0.0228 | 465.0 | 15810 | 2.4170 | {'f1': 0.7977805178791616} | {'accuracy': 0.6855225311601151} |
| 0.0228 | 466.0 | 15844 | 2.2097 | {'f1': 0.7876160990712073} | {'accuracy': 0.6711409395973155} |
| 0.0228 | 467.0 | 15878 | 2.2048 | {'f1': 0.7971101745936183} | {'accuracy': 0.6768935762224353} |
| 0.0228 | 468.0 | 15912 | 2.3281 | {'f1': 0.7927051671732523} | {'accuracy': 0.673058485139022} |
| 0.0228 | 469.0 | 15946 | 2.4170 | {'f1': 0.7975384615384615} | {'accuracy': 0.6845637583892618} |
| 0.0228 | 470.0 | 15980 | 2.6338 | {'f1': 0.7953573610262675} | {'accuracy': 0.6788111217641419} |
| 0.0713 | 471.0 | 16014 | 2.4668 | {'f1': 0.7560646900269542} | {'accuracy': 0.6529242569511026} |
| 0.0713 | 472.0 | 16048 | 2.2504 | {'f1': 0.7897371714643304} | {'accuracy': 0.6778523489932886} |
| 0.0713 | 473.0 | 16082 | 2.7733 | {'f1': 0.7815502882767456} | {'accuracy': 0.673058485139022} |
| 0.0713 | 474.0 | 16116 | 2.6806 | {'f1': 0.8081534772182254} | {'accuracy': 0.6931927133269415} |
| 0.0713 | 475.0 | 16150 | 2.8376 | {'f1': 0.8082352941176472} | {'accuracy': 0.6874400767018217} |
| 0.0713 | 476.0 | 16184 | 2.8193 | {'f1': 0.792079207920792} | {'accuracy': 0.6778523489932886} |
| 0.0713 | 477.0 | 16218 | 1.8970 | {'f1': 0.784586228679722} | {'accuracy': 0.673058485139022} |
| 0.0713 | 478.0 | 16252 | 2.5678 | {'f1': 0.8043347381095726} | {'accuracy': 0.6883988494726749} |
| 0.0713 | 479.0 | 16286 | 2.8753 | {'f1': 0.7793190416141237} | {'accuracy': 0.6644295302013423} |
| 0.0713 | 480.0 | 16320 | 2.9983 | {'f1': 0.7891825445605409} | {'accuracy': 0.6711409395973155} |
| 0.0713 | 481.0 | 16354 | 2.9486 | {'f1': 0.7827175954915465} | {'accuracy': 0.6673058485139022} |
| 0.0713 | 482.0 | 16388 | 2.8965 | {'f1': 0.7888198757763976} | {'accuracy': 0.6740172579098753} |
| 0.0713 | 483.0 | 16422 | 3.0005 | {'f1': 0.7836990595611284} | {'accuracy': 0.6692233940556088} |
| 0.0713 | 484.0 | 16456 | 3.0619 | {'f1': 0.7923598274799754} | {'accuracy': 0.6768935762224353} |
| 0.0713 | 485.0 | 16490 | 3.1266 | {'f1': 0.7921036397285627} | {'accuracy': 0.6768935762224353} |
| 0.0222 | 486.0 | 16524 | 2.5874 | {'f1': 0.7881408276714021} | {'accuracy': 0.6711409395973155} |
| 0.0222 | 487.0 | 16558 | 2.6890 | {'f1': 0.7891156462585034} | {'accuracy': 0.673058485139022} |
| 0.0222 | 488.0 | 16592 | 2.8740 | {'f1': 0.8076235854675402} | {'accuracy': 0.6903163950143816} |
| 0.0222 | 489.0 | 16626 | 2.8248 | {'f1': 0.7982937233394274} | {'accuracy': 0.6826462128475551} |
| 0.0222 | 490.0 | 16660 | 3.0453 | {'f1': 0.7875776397515528} | {'accuracy': 0.6720997123681688} |
| 0.0222 | 491.0 | 16694 | 3.1048 | {'f1': 0.8009621166566445} | {'accuracy': 0.6826462128475551} |
| 0.0222 | 492.0 | 16728 | 3.1531 | {'f1': 0.7950769230769231} | {'accuracy': 0.6807286673058485} |
| 0.0222 | 493.0 | 16762 | 3.0909 | {'f1': 0.7876884422110552} | {'accuracy': 0.675934803451582} |
| 0.0222 | 494.0 | 16796 | 2.8700 | {'f1': 0.7907557776389758} | {'accuracy': 0.6788111217641419} |
| 0.0222 | 495.0 | 16830 | 2.9430 | {'f1': 0.783260462211118} | {'accuracy': 0.6673058485139022} |
| 0.0222 | 496.0 | 16864 | 3.0638 | {'f1': 0.7861557478368356} | {'accuracy': 0.6682646212847555} |
| 0.0222 | 497.0 | 16898 | 3.2791 | {'f1': 0.7825000000000001} | {'accuracy': 0.6663470757430489} |
| 0.0222 | 498.0 | 16932 | 3.3743 | {'f1': 0.7814070351758793} | {'accuracy': 0.6663470757430489} |
| 0.0222 | 499.0 | 16966 | 3.4332 | {'f1': 0.7809165097300691} | {'accuracy': 0.6653883029721956} |
| 0.0095 | 500.0 | 17000 | 3.4729 | {'f1': 0.7825545171339563} | {'accuracy': 0.6653883029721956} |
| 0.0095 | 501.0 | 17034 | 3.4320 | {'f1': 0.7983040581465779} | {'accuracy': 0.6807286673058485} |
| 0.0095 | 502.0 | 17068 | 3.4311 | {'f1': 0.7963525835866262} | {'accuracy': 0.6788111217641419} |
| 0.0095 | 503.0 | 17102 | 3.1045 | {'f1': 0.7946045370938075} | {'accuracy': 0.6788111217641419} |
| 0.0095 | 504.0 | 17136 | 3.0785 | {'f1': 0.8062387522495502} | {'accuracy': 0.6903163950143816} |
| 0.0095 | 505.0 | 17170 | 2.6128 | {'f1': 0.7841409691629956} | {'accuracy': 0.6711409395973155} |
| 0.0095 | 506.0 | 17204 | 2.7696 | {'f1': 0.7942998760842628} | {'accuracy': 0.6816874400767018} |
| 0.0095 | 507.0 | 17238 | 2.5095 | {'f1': 0.7906114885731933} | {'accuracy': 0.6749760306807286} |
| 0.0095 | 508.0 | 17272 | 2.4784 | {'f1': 0.7765151515151516} | {'accuracy': 0.660594439117929} |
| 0.0095 | 509.0 | 17306 | 2.6961 | {'f1': 0.788330229671012} | {'accuracy': 0.673058485139022} |
| 0.0095 | 510.0 | 17340 | 2.5870 | {'f1': 0.7970838396111787} | {'accuracy': 0.6797698945349953} |
| 0.0095 | 511.0 | 17374 | 2.4919 | {'f1': 0.7917705735660848} | {'accuracy': 0.6797698945349953} |
| 0.0095 | 512.0 | 17408 | 2.7970 | {'f1': 0.7935121646912041} | {'accuracy': 0.6826462128475551} |
| 0.0095 | 513.0 | 17442 | 2.4773 | {'f1': 0.7970749542961609} | {'accuracy': 0.6807286673058485} |
| 0.0095 | 514.0 | 17476 | 2.7437 | {'f1': 0.7987654320987654} | {'accuracy': 0.6874400767018217} |
| 0.0289 | 515.0 | 17510 | 2.9494 | {'f1': 0.7679269882659713} | {'accuracy': 0.6586768935762224} |
| 0.0289 | 516.0 | 17544 | 2.0406 | {'f1': 0.7921036397285627} | {'accuracy': 0.6768935762224353} |
| 0.0289 | 517.0 | 17578 | 2.7028 | {'f1': 0.7800882167611844} | {'accuracy': 0.6653883029721956} |
| 0.0289 | 518.0 | 17612 | 2.4616 | {'f1': 0.7806122448979591} | {'accuracy': 0.6701821668264621} |
| 0.0289 | 519.0 | 17646 | 2.7142 | {'f1': 0.7732293697205979} | {'accuracy': 0.6653883029721956} |
| 0.0289 | 520.0 | 17680 | 2.9073 | {'f1': 0.7985347985347985} | {'accuracy': 0.6836049856184084} |
| 0.0289 | 521.0 | 17714 | 3.0303 | {'f1': 0.7831474597273854} | {'accuracy': 0.6644295302013423} |
| 0.0289 | 522.0 | 17748 | 2.1694 | {'f1': 0.792638036809816} | {'accuracy': 0.675934803451582} |
| 0.0289 | 523.0 | 17782 | 2.5983 | {'f1': 0.7888198757763976} | {'accuracy': 0.6740172579098753} |
| 0.0289 | 524.0 | 17816 | 2.7911 | {'f1': 0.8023880597014926} | {'accuracy': 0.6826462128475551} |
| 0.0289 | 525.0 | 17850 | 2.7900 | {'f1': 0.785490931832395} | {'accuracy': 0.6711409395973155} |
| 0.0289 | 526.0 | 17884 | 2.8877 | {'f1': 0.7929354445797808} | {'accuracy': 0.6740172579098753} |
| 0.0289 | 527.0 | 17918 | 3.0774 | {'f1': 0.7908415841584159} | {'accuracy': 0.675934803451582} |
| 0.0289 | 528.0 | 17952 | 3.3213 | {'f1': 0.7642384105960264} | {'accuracy': 0.6586768935762224} |
| 0.0289 | 529.0 | 17986 | 3.2986 | {'f1': 0.788177339901478} | {'accuracy': 0.6701821668264621} |
| 0.0213 | 530.0 | 18020 | 3.2082 | {'f1': 0.7929568913175471} | {'accuracy': 0.673058485139022} |
| 0.0213 | 531.0 | 18054 | 3.2592 | {'f1': 0.7918968692449357} | {'accuracy': 0.6749760306807286} |
| 0.0213 | 532.0 | 18088 | 3.3222 | {'f1': 0.7904118008604795} | {'accuracy': 0.673058485139022} |
| 0.0213 | 533.0 | 18122 | 3.4105 | {'f1': 0.7694283879254977} | {'accuracy': 0.6558005752636625} |
| 0.0213 | 534.0 | 18156 | 2.4653 | {'f1': 0.7821656050955414} | {'accuracy': 0.6720997123681688} |
| 0.0213 | 535.0 | 18190 | 2.8393 | {'f1': 0.7701375245579567} | {'accuracy': 0.663470757430489} |
| 0.0213 | 536.0 | 18224 | 2.5477 | {'f1': 0.770712909441233} | {'accuracy': 0.6577181208053692} |
| 0.0213 | 537.0 | 18258 | 2.9406 | {'f1': 0.7949029126213591} | {'accuracy': 0.675934803451582} |
| 0.0213 | 538.0 | 18292 | 2.5555 | {'f1': 0.8043217286914767} | {'accuracy': 0.6874400767018217} |
| 0.0213 | 539.0 | 18326 | 2.4182 | {'f1': 0.7870485678704857} | {'accuracy': 0.6720997123681688} |
| 0.0213 | 540.0 | 18360 | 2.5475 | {'f1': 0.7904993909866018} | {'accuracy': 0.6701821668264621} |
| 0.0213 | 541.0 | 18394 | 2.5465 | {'f1': 0.7753807106598984} | {'accuracy': 0.660594439117929} |
| 0.0213 | 542.0 | 18428 | 2.6289 | {'f1': 0.7704081632653061} | {'accuracy': 0.6548418024928092} |
| 0.0213 | 543.0 | 18462 | 3.0522 | {'f1': 0.7883211678832117} | {'accuracy': 0.6663470757430489} |
| 0.0213 | 544.0 | 18496 | 2.9594 | {'f1': 0.7762326169405815} | {'accuracy': 0.660594439117929} |
| 0.0308 | 545.0 | 18530 | 2.9500 | {'f1': 0.7729342875731946} | {'accuracy': 0.6653883029721956} |
| 0.0308 | 546.0 | 18564 | 2.9692 | {'f1': 0.7873134328358209} | {'accuracy': 0.6720997123681688} |
| 0.0308 | 547.0 | 18598 | 2.9487 | {'f1': 0.7690288713910761} | {'accuracy': 0.6625119846596357} |
| 0.0308 | 548.0 | 18632 | 2.9314 | {'f1': 0.771410173857051} | {'accuracy': 0.6596356663470757} |
| 0.0308 | 549.0 | 18666 | 2.8140 | {'f1': 0.7910168434185901} | {'accuracy': 0.6788111217641419} |
| 0.0308 | 550.0 | 18700 | 2.9739 | {'f1': 0.7890137328339576} | {'accuracy': 0.675934803451582} |
| 0.0308 | 551.0 | 18734 | 3.1406 | {'f1': 0.7885215221459764} | {'accuracy': 0.6749760306807286} |
| 0.0308 | 552.0 | 18768 | 3.1772 | {'f1': 0.7692307692307693} | {'accuracy': 0.660594439117929} |
| 0.0308 | 553.0 | 18802 | 3.2955 | {'f1': 0.7777065983344009} | {'accuracy': 0.6673058485139022} |
| 0.0308 | 554.0 | 18836 | 3.3613 | {'f1': 0.7643229166666666} | {'accuracy': 0.6529242569511026} |
| 0.0308 | 555.0 | 18870 | 2.9471 | {'f1': 0.7903822441430334} | {'accuracy': 0.6740172579098753} |
| 0.0308 | 556.0 | 18904 | 3.2852 | {'f1': 0.7812499999999999} | {'accuracy': 0.6644295302013423} |
| 0.0308 | 557.0 | 18938 | 3.5688 | {'f1': 0.7789987789987791} | {'accuracy': 0.6529242569511026} |
| 0.0308 | 558.0 | 18972 | 3.5301 | {'f1': 0.7933094384707289} | {'accuracy': 0.6682646212847555} |
| 0.0186 | 559.0 | 19006 | 2.2616 | {'f1': 0.7886473429951691} | {'accuracy': 0.6644295302013423} |
| 0.0186 | 560.0 | 19040 | 2.8845 | {'f1': 0.7799132052076875} | {'accuracy': 0.6596356663470757} |
| 0.0186 | 561.0 | 19074 | 3.0812 | {'f1': 0.7868852459016393} | {'accuracy': 0.663470757430489} |
| 0.0186 | 562.0 | 19108 | 2.6892 | {'f1': 0.7398921832884098} | {'accuracy': 0.6299137104506232} |
| 0.0186 | 563.0 | 19142 | 2.5587 | {'f1': 0.7663077897403421} | {'accuracy': 0.6462128475551294} |
| 0.0186 | 564.0 | 19176 | 3.0325 | {'f1': 0.7726988102692549} | {'accuracy': 0.6519654841802492} |
| 0.0186 | 565.0 | 19210 | 2.8063 | {'f1': 0.7797878976918278} | {'accuracy': 0.6615532118887824} |
| 0.0186 | 566.0 | 19244 | 2.9355 | {'f1': 0.7693298969072164} | {'accuracy': 0.6567593480345159} |
| 0.0186 | 567.0 | 19278 | 3.0579 | {'f1': 0.7929993964996983} | {'accuracy': 0.6711409395973155} |
| 0.0186 | 568.0 | 19312 | 3.0303 | {'f1': 0.7795969773299748} | {'accuracy': 0.6644295302013423} |
| 0.0186 | 569.0 | 19346 | 2.7762 | {'f1': 0.7911275415896488} | {'accuracy': 0.6749760306807286} |
| 0.0186 | 570.0 | 19380 | 3.0453 | {'f1': 0.7908979089790898} | {'accuracy': 0.6740172579098753} |
| 0.0186 | 571.0 | 19414 | 3.1632 | {'f1': 0.7927492447129909} | {'accuracy': 0.6711409395973155} |
| 0.0186 | 572.0 | 19448 | 3.3627 | {'f1': 0.793993993993994} | {'accuracy': 0.6711409395973155} |
| 0.0186 | 573.0 | 19482 | 3.1257 | {'f1': 0.7893761581222978} | {'accuracy': 0.673058485139022} |
| 0.0241 | 574.0 | 19516 | 3.3120 | {'f1': 0.7923832923832923} | {'accuracy': 0.675934803451582} |
| 0.0241 | 575.0 | 19550 | 2.7658 | {'f1': 0.8014226437462951} | {'accuracy': 0.6788111217641419} |
| 0.0241 | 576.0 | 19584 | 2.9990 | {'f1': 0.788732394366197} | {'accuracy': 0.6692233940556088} |
| 0.0241 | 577.0 | 19618 | 3.1546 | {'f1': 0.7813084112149532} | {'accuracy': 0.663470757430489} |
| 0.0241 | 578.0 | 19652 | 3.2386 | {'f1': 0.7784055241682359} | {'accuracy': 0.6615532118887824} |
| 0.0241 | 579.0 | 19686 | 3.2559 | {'f1': 0.7871287128712872} | {'accuracy': 0.6701821668264621} |
| 0.0241 | 580.0 | 19720 | 3.4385 | {'f1': 0.775330396475771} | {'accuracy': 0.6577181208053692} |
| 0.0241 | 581.0 | 19754 | 3.5318 | {'f1': 0.773989898989899} | {'accuracy': 0.6567593480345159} |
| 0.0241 | 582.0 | 19788 | 3.6523 | {'f1': 0.7839009287925697} | {'accuracy': 0.6653883029721956} |
| 0.0241 | 583.0 | 19822 | 3.6936 | {'f1': 0.7917425622343657} | {'accuracy': 0.6711409395973155} |
| 0.0241 | 584.0 | 19856 | 3.4894 | {'f1': 0.7893761581222978} | {'accuracy': 0.673058485139022} |
| 0.0241 | 585.0 | 19890 | 3.5314 | {'f1': 0.7878411910669976} | {'accuracy': 0.6720997123681688} |
| 0.0241 | 586.0 | 19924 | 2.9778 | {'f1': 0.7594278283485045} | {'accuracy': 0.6452540747842761} |
| 0.0241 | 587.0 | 19958 | 3.3107 | {'f1': 0.7781954887218044} | {'accuracy': 0.660594439117929} |
| 0.0241 | 588.0 | 19992 | 3.4496 | {'f1': 0.7953995157384988} | {'accuracy': 0.675934803451582} |
| 0.0129 | 589.0 | 20026 | 3.6314 | {'f1': 0.7944544906570222} | {'accuracy': 0.673058485139022} |
| 0.0129 | 590.0 | 20060 | 3.3311 | {'f1': 0.758800521512386} | {'accuracy': 0.6452540747842761} |
| 0.0129 | 591.0 | 20094 | 3.5220 | {'f1': 0.7547918043621943} | {'accuracy': 0.6442953020134228} |
| 0.0129 | 592.0 | 20128 | 2.1915 | {'f1': 0.775047258979206} | {'accuracy': 0.6577181208053692} |
| 0.0129 | 593.0 | 20162 | 2.6983 | {'f1': 0.7811531308121512} | {'accuracy': 0.6615532118887824} |
| 0.0129 | 594.0 | 20196 | 2.0792 | {'f1': 0.7450722733245729} | {'accuracy': 0.6279961649089166} |
| 0.0129 | 595.0 | 20230 | 2.7166 | {'f1': 0.802145411203814} | {'accuracy': 0.6816874400767018} |
| 0.0129 | 596.0 | 20264 | 3.1133 | {'f1': 0.7946537059538276} | {'accuracy': 0.675934803451582} |
| 0.0129 | 597.0 | 20298 | 2.5716 | {'f1': 0.7890818858560794} | {'accuracy': 0.6740172579098753} |
| 0.0129 | 598.0 | 20332 | 3.0050 | {'f1': 0.783596214511041} | {'accuracy': 0.6711409395973155} |
| 0.0129 | 599.0 | 20366 | 2.8014 | {'f1': 0.7768595041322315} | {'accuracy': 0.663470757430489} |
| 0.0129 | 600.0 | 20400 | 3.2549 | {'f1': 0.8094117647058825} | {'accuracy': 0.6893576222435283} |
| 0.0129 | 601.0 | 20434 | 3.1258 | {'f1': 0.7609692206941714} | {'accuracy': 0.6500479386385427} |
| 0.0129 | 602.0 | 20468 | 3.1814 | {'f1': 0.7939024390243902} | {'accuracy': 0.675934803451582} |
| 0.0313 | 603.0 | 20502 | 3.1754 | {'f1': 0.7848729076255424} | {'accuracy': 0.6673058485139022} |
| 0.0313 | 604.0 | 20536 | 3.2901 | {'f1': 0.793438639125152} | {'accuracy': 0.6740172579098753} |
| 0.0313 | 605.0 | 20570 | 3.4518 | {'f1': 0.7761755485893416} | {'accuracy': 0.6577181208053692} |
| 0.0313 | 606.0 | 20604 | 3.2085 | {'f1': 0.7743979721166033} | {'accuracy': 0.6586768935762224} |
| 0.0313 | 607.0 | 20638 | 3.3426 | {'f1': 0.7688345138441726} | {'accuracy': 0.6558005752636625} |
| 0.0313 | 608.0 | 20672 | 3.2301 | {'f1': 0.7930821494749845} | {'accuracy': 0.6788111217641419} |
| 0.0313 | 609.0 | 20706 | 3.1818 | {'f1': 0.8007159904534606} | {'accuracy': 0.6797698945349953} |
| 0.0313 | 610.0 | 20740 | 2.6561 | {'f1': 0.794471153846154} | {'accuracy': 0.6720997123681688} |
| 0.0313 | 611.0 | 20774 | 3.0346 | {'f1': 0.7951807228915663} | {'accuracy': 0.6740172579098753} |
| 0.0313 | 612.0 | 20808 | 3.0901 | {'f1': 0.8002378121284186} | {'accuracy': 0.6778523489932886} |
| 0.0313 | 613.0 | 20842 | 3.3268 | {'f1': 0.783466995681678} | {'accuracy': 0.663470757430489} |
| 0.0313 | 614.0 | 20876 | 3.2045 | {'f1': 0.7912621359223302} | {'accuracy': 0.6701821668264621} |
| 0.0313 | 615.0 | 20910 | 3.0408 | {'f1': 0.7474472430224642} | {'accuracy': 0.6442953020134228} |
| 0.0313 | 616.0 | 20944 | 2.9264 | {'f1': 0.786764705882353} | {'accuracy': 0.6663470757430489} |
| 0.0313 | 617.0 | 20978 | 3.1613 | {'f1': 0.793708408953418} | {'accuracy': 0.673058485139022} |
| 0.0145 | 618.0 | 21012 | 3.1964 | {'f1': 0.7931246163290362} | {'accuracy': 0.6768935762224353} |
| 0.0145 | 619.0 | 21046 | 3.1995 | {'f1': 0.7921520539546291} | {'accuracy': 0.6749760306807286} |
| 0.0145 | 620.0 | 21080 | 3.1170 | {'f1': 0.8000000000000002} | {'accuracy': 0.6788111217641419} |
| 0.0145 | 621.0 | 21114 | 2.9239 | {'f1': 0.7952559300873908} | {'accuracy': 0.6855225311601151} |
| 0.0145 | 622.0 | 21148 | 2.7656 | {'f1': 0.7764253683536195} | {'accuracy': 0.6653883029721956} |
| 0.0145 | 623.0 | 21182 | 3.1986 | {'f1': 0.7897934386391252} | {'accuracy': 0.6682646212847555} |
| 0.0145 | 624.0 | 21216 | 2.5862 | {'f1': 0.7805800756620429} | {'accuracy': 0.6663470757430489} |
| 0.0145 | 625.0 | 21250 | 2.6523 | {'f1': 0.7905853952926976} | {'accuracy': 0.6673058485139022} |
| 0.0145 | 626.0 | 21284 | 3.0106 | {'f1': 0.7798982188295165} | {'accuracy': 0.6682646212847555} |
| 0.0145 | 627.0 | 21318 | 3.1680 | {'f1': 0.7807351077313055} | {'accuracy': 0.6682646212847555} |
| 0.0145 | 628.0 | 21352 | 3.0124 | {'f1': 0.7910085054678008} | {'accuracy': 0.6701821668264621} |
| 0.0145 | 629.0 | 21386 | 3.2700 | {'f1': 0.7688378033205618} | {'accuracy': 0.6529242569511026} |
| 0.0145 | 630.0 | 21420 | 3.3648 | {'f1': 0.765195137555982} | {'accuracy': 0.6481303930968361} |
| 0.0145 | 631.0 | 21454 | 3.4086 | {'f1': 0.7898640296662546} | {'accuracy': 0.6740172579098753} |
| 0.0145 | 632.0 | 21488 | 3.3487 | {'f1': 0.7662337662337662} | {'accuracy': 0.6548418024928092} |
| 0.0173 | 633.0 | 21522 | 3.4516 | {'f1': 0.7878033602986932} | {'accuracy': 0.673058485139022} |
| 0.0173 | 634.0 | 21556 | 2.9338 | {'f1': 0.7554963357761493} | {'accuracy': 0.6481303930968361} |
| 0.0173 | 635.0 | 21590 | 2.9606 | {'f1': 0.7897934386391252} | {'accuracy': 0.6682646212847555} |
| 0.0173 | 636.0 | 21624 | 2.9536 | {'f1': 0.7866831072749692} | {'accuracy': 0.6682646212847555} |
| 0.0173 | 637.0 | 21658 | 3.2013 | {'f1': 0.7345553292600134} | {'accuracy': 0.6251198465963567} |
| 0.0173 | 638.0 | 21692 | 3.4021 | {'f1': 0.7808471454880296} | {'accuracy': 0.6577181208053692} |
| 0.0173 | 639.0 | 21726 | 3.2675 | {'f1': 0.7966101694915254} | {'accuracy': 0.6778523489932886} |
| 0.0173 | 640.0 | 21760 | 3.3310 | {'f1': 0.8014397120575886} | {'accuracy': 0.6826462128475551} |
| 0.0173 | 641.0 | 21794 | 3.4434 | {'f1': 0.7879532882606023} | {'accuracy': 0.6692233940556088} |
| 0.0173 | 642.0 | 21828 | 3.0394 | {'f1': 0.6915750915750917} | {'accuracy': 0.5963566634707574} |
| 0.0173 | 643.0 | 21862 | 3.1523 | {'f1': 0.7589343729694606} | {'accuracy': 0.6442953020134228} |
| 0.0173 | 644.0 | 21896 | 2.9746 | {'f1': 0.7823421213979154} | {'accuracy': 0.6596356663470757} |
| 0.0173 | 645.0 | 21930 | 2.7544 | {'f1': 0.756686236138291} | {'accuracy': 0.6423777564717162} |
| 0.0173 | 646.0 | 21964 | 3.0924 | {'f1': 0.7488402915838304} | {'accuracy': 0.6366251198465963} |
| 0.0173 | 647.0 | 21998 | 3.2466 | {'f1': 0.7495069033530573} | {'accuracy': 0.6347075743048898} |
| 0.0356 | 648.0 | 22032 | 3.2558 | {'f1': 0.7817955112219451} | {'accuracy': 0.6644295302013423} |
| 0.0356 | 649.0 | 22066 | 2.7841 | {'f1': 0.7715019255455712} | {'accuracy': 0.6586768935762224} |
| 0.0356 | 650.0 | 22100 | 2.8279 | {'f1': 0.7704180064308681} | {'accuracy': 0.6577181208053692} |
| 0.0356 | 651.0 | 22134 | 2.9852 | {'f1': 0.7797878976918278} | {'accuracy': 0.6615532118887824} |
| 0.0356 | 652.0 | 22168 | 2.9249 | {'f1': 0.7817385866166354} | {'accuracy': 0.6653883029721956} |
| 0.0356 | 653.0 | 22202 | 2.7636 | {'f1': 0.7762906309751435} | {'accuracy': 0.663470757430489} |
| 0.0356 | 654.0 | 22236 | 3.1192 | {'f1': 0.7851851851851853} | {'accuracy': 0.6663470757430489} |
| 0.0356 | 655.0 | 22270 | 3.1871 | {'f1': 0.7803650094398993} | {'accuracy': 0.6653883029721956} |
| 0.0356 | 656.0 | 22304 | 3.3598 | {'f1': 0.785139318885449} | {'accuracy': 0.6673058485139022} |
| 0.0356 | 657.0 | 22338 | 3.5421 | {'f1': 0.7716836734693877} | {'accuracy': 0.6567593480345159} |
| 0.0356 | 658.0 | 22372 | 3.5525 | {'f1': 0.7857589006870704} | {'accuracy': 0.6711409395973155} |
| 0.0356 | 659.0 | 22406 | 3.4621 | {'f1': 0.7793017456359101} | {'accuracy': 0.660594439117929} |
| 0.0356 | 660.0 | 22440 | 3.2223 | {'f1': 0.7819083023543991} | {'accuracy': 0.6625119846596357} |
| 0.0356 | 661.0 | 22474 | 3.3251 | {'f1': 0.7907822922983626} | {'accuracy': 0.6692233940556088} |
| 0.016 | 662.0 | 22508 | 3.3533 | {'f1': 0.7768698931489628} | {'accuracy': 0.6596356663470757} |
| 0.016 | 663.0 | 22542 | 3.2455 | {'f1': 0.780274656679151} | {'accuracy': 0.6625119846596357} |
| 0.016 | 664.0 | 22576 | 2.4962 | {'f1': 0.7808564231738034} | {'accuracy': 0.6663470757430489} |
| 0.016 | 665.0 | 22610 | 2.8781 | {'f1': 0.7830950901180858} | {'accuracy': 0.6653883029721956} |
| 0.016 | 666.0 | 22644 | 3.1875 | {'f1': 0.7756653992395438} | {'accuracy': 0.660594439117929} |
| 0.016 | 667.0 | 22678 | 3.3650 | {'f1': 0.7808219178082192} | {'accuracy': 0.6625119846596357} |
| 0.016 | 668.0 | 22712 | 3.4833 | {'f1': 0.7747634069400632} | {'accuracy': 0.6577181208053692} |
| 0.016 | 669.0 | 22746 | 3.4793 | {'f1': 0.7990430622009568} | {'accuracy': 0.6778523489932886} |
| 0.016 | 670.0 | 22780 | 3.3409 | {'f1': 0.7648208469055375} | {'accuracy': 0.6538830297219559} |
| 0.016 | 671.0 | 22814 | 3.2524 | {'f1': 0.7911001236093943} | {'accuracy': 0.675934803451582} |
| 0.016 | 672.0 | 22848 | 3.4060 | {'f1': 0.7968561064087062} | {'accuracy': 0.6778523489932886} |
| 0.016 | 673.0 | 22882 | 3.4376 | {'f1': 0.7855392156862745} | {'accuracy': 0.6644295302013423} |
| 0.016 | 674.0 | 22916 | 3.3392 | {'f1': 0.7858450274557657} | {'accuracy': 0.663470757430489} |
| 0.016 | 675.0 | 22950 | 3.5940 | {'f1': 0.7822878228782288} | {'accuracy': 0.660594439117929} |
| 0.016 | 676.0 | 22984 | 3.5633 | {'f1': 0.7816944959802103} | {'accuracy': 0.6615532118887824} |
| 0.0177 | 677.0 | 23018 | 3.4612 | {'f1': 0.7942063971031985} | {'accuracy': 0.673058485139022} |
| 0.0177 | 678.0 | 23052 | 3.3208 | {'f1': 0.7802128991859737} | {'accuracy': 0.663470757430489} |
| 0.0177 | 679.0 | 23086 | 3.5214 | {'f1': 0.77269800386349} | {'accuracy': 0.6615532118887824} |
| 0.0177 | 680.0 | 23120 | 3.6865 | {'f1': 0.7783375314861462} | {'accuracy': 0.6625119846596357} |
| 0.0177 | 681.0 | 23154 | 2.8399 | {'f1': 0.7822878228782288} | {'accuracy': 0.660594439117929} |
| 0.0177 | 682.0 | 23188 | 3.1314 | {'f1': 0.7674714104193138} | {'accuracy': 0.6490891658676894} |
| 0.0177 | 683.0 | 23222 | 3.0531 | {'f1': 0.7771500313873195} | {'accuracy': 0.6596356663470757} |
| 0.0177 | 684.0 | 23256 | 3.2281 | {'f1': 0.7854050711193568} | {'accuracy': 0.6673058485139022} |
| 0.0177 | 685.0 | 23290 | 3.5184 | {'f1': 0.7663430420711974} | {'accuracy': 0.6538830297219559} |
| 0.0177 | 686.0 | 23324 | 3.5802 | {'f1': 0.7677664974619289} | {'accuracy': 0.6490891658676894} |
| 0.0177 | 687.0 | 23358 | 3.3827 | {'f1': 0.787621359223301} | {'accuracy': 0.6644295302013423} |
| 0.0177 | 688.0 | 23392 | 2.7351 | {'f1': 0.7660668380462725} | {'accuracy': 0.6510067114093959} |
| 0.0177 | 689.0 | 23426 | 2.6821 | {'f1': 0.7818070067609096} | {'accuracy': 0.6596356663470757} |
| 0.0177 | 690.0 | 23460 | 3.2891 | {'f1': 0.775561097256858} | {'accuracy': 0.6548418024928092} |
| 0.0177 | 691.0 | 23494 | 2.5537 | {'f1': 0.7607440667094291} | {'accuracy': 0.6423777564717162} |
| 0.0212 | 692.0 | 23528 | 3.0829 | {'f1': 0.7718416090509113} | {'accuracy': 0.6519654841802492} |
| 0.0212 | 693.0 | 23562 | 2.2814 | {'f1': 0.7686472819216181} | {'accuracy': 0.6490891658676894} |
| 0.0212 | 694.0 | 23596 | 2.7748 | {'f1': 0.7640306122448979} | {'accuracy': 0.6452540747842761} |
| 0.0212 | 695.0 | 23630 | 2.6210 | {'f1': 0.7702020202020202} | {'accuracy': 0.6510067114093959} |
| 0.0212 | 696.0 | 23664 | 2.9623 | {'f1': 0.7815384615384616} | {'accuracy': 0.6596356663470757} |
| 0.0212 | 697.0 | 23698 | 3.1408 | {'f1': 0.7583120204603581} | {'accuracy': 0.6375838926174496} |
| 0.0212 | 698.0 | 23732 | 3.0757 | {'f1': 0.786805131337813} | {'accuracy': 0.6653883029721956} |
| 0.0212 | 699.0 | 23766 | 3.1433 | {'f1': 0.7829839704069051} | {'accuracy': 0.6625119846596357} |
| 0.0212 | 700.0 | 23800 | 3.2837 | {'f1': 0.7630573248407643} | {'accuracy': 0.6433365292425696} |
| 0.0212 | 701.0 | 23834 | 3.2905 | {'f1': 0.7587548638132294} | {'accuracy': 0.6433365292425696} |
| 0.0212 | 702.0 | 23868 | 3.2126 | {'f1': 0.7894103489771361} | {'accuracy': 0.6644295302013423} |
| 0.0212 | 703.0 | 23902 | 3.1601 | {'f1': 0.7882855399633923} | {'accuracy': 0.6673058485139022} |
| 0.0212 | 704.0 | 23936 | 3.1045 | {'f1': 0.7558746736292429} | {'accuracy': 0.6414189837008629} |
| 0.0212 | 705.0 | 23970 | 2.9453 | {'f1': 0.7712082262210797} | {'accuracy': 0.6586768935762224} |
| 0.0257 | 706.0 | 24004 | 3.2730 | {'f1': 0.7674714104193138} | {'accuracy': 0.6490891658676894} |
| 0.0257 | 707.0 | 24038 | 3.3732 | {'f1': 0.7722397476340693} | {'accuracy': 0.6538830297219559} |
| 0.0257 | 708.0 | 24072 | 3.4359 | {'f1': 0.7722397476340693} | {'accuracy': 0.6538830297219559} |
| 0.0257 | 709.0 | 24106 | 3.3419 | {'f1': 0.7853211009174312} | {'accuracy': 0.663470757430489} |
| 0.0257 | 710.0 | 24140 | 3.3183 | {'f1': 0.7514831905075808} | {'accuracy': 0.638542665388303} |
| 0.0257 | 711.0 | 24174 | 3.2726 | {'f1': 0.7571428571428571} | {'accuracy': 0.6414189837008629} |
| 0.0257 | 712.0 | 24208 | 3.0969 | {'f1': 0.7501647989452868} | {'accuracy': 0.6366251198465963} |
| 0.0257 | 713.0 | 24242 | 3.2263 | {'f1': 0.7809762202753441} | {'accuracy': 0.6644295302013423} |
| 0.0257 | 714.0 | 24276 | 3.5424 | {'f1': 0.7526315789473684} | {'accuracy': 0.6395014381591563} |
| 0.0257 | 715.0 | 24310 | 2.5835 | {'f1': 0.7543973941368078} | {'accuracy': 0.638542665388303} |
| 0.0257 | 716.0 | 24344 | 2.8809 | {'f1': 0.7878419452887537} | {'accuracy': 0.6653883029721956} |
| 0.0257 | 717.0 | 24378 | 3.0921 | {'f1': 0.7787499999999998} | {'accuracy': 0.660594439117929} |
| 0.0257 | 718.0 | 24412 | 3.2508 | {'f1': 0.7779171894604768} | {'accuracy': 0.660594439117929} |
| 0.0257 | 719.0 | 24446 | 3.1921 | {'f1': 0.7825552825552825} | {'accuracy': 0.660594439117929} |
| 0.0257 | 720.0 | 24480 | 2.7589 | {'f1': 0.7585760517799353} | {'accuracy': 0.6423777564717162} |
| 0.0149 | 721.0 | 24514 | 3.3955 | {'f1': 0.7678571428571428} | {'accuracy': 0.6510067114093959} |
| 0.0149 | 722.0 | 24548 | 2.9811 | {'f1': 0.7429718875502009} | {'accuracy': 0.6318312559923298} |
| 0.0149 | 723.0 | 24582 | 3.2162 | {'f1': 0.7541199736321688} | {'accuracy': 0.6423777564717162} |
| 0.0149 | 724.0 | 24616 | 3.2738 | {'f1': 0.7850581751377832} | {'accuracy': 0.663470757430489} |
| 0.0149 | 725.0 | 24650 | 2.9659 | {'f1': 0.7715019255455712} | {'accuracy': 0.6586768935762224} |
| 0.0149 | 726.0 | 24684 | 3.0127 | {'f1': 0.7761572606214332} | {'accuracy': 0.6615532118887824} |
| 0.0149 | 727.0 | 24718 | 2.9881 | {'f1': 0.77125} | {'accuracy': 0.6490891658676894} |
| 0.0149 | 728.0 | 24752 | 3.3777 | {'f1': 0.739652870493992} | {'accuracy': 0.62607861936721} |
| 0.0149 | 729.0 | 24786 | 3.4049 | {'f1': 0.7664974619289341} | {'accuracy': 0.6471716203259827} |
| 0.0149 | 730.0 | 24820 | 3.3770 | {'f1': 0.7851037851037851} | {'accuracy': 0.6625119846596357} |
| 0.0149 | 731.0 | 24854 | 2.9827 | {'f1': 0.7719519898926089} | {'accuracy': 0.6538830297219559} |
| 0.0149 | 732.0 | 24888 | 3.1451 | {'f1': 0.7556415215989685} | {'accuracy': 0.6366251198465963} |
| 0.0149 | 733.0 | 24922 | 2.7837 | {'f1': 0.7909535452322739} | {'accuracy': 0.6720997123681688} |
| 0.0149 | 734.0 | 24956 | 3.0057 | {'f1': 0.7786163522012578} | {'accuracy': 0.6625119846596357} |
| 0.0149 | 735.0 | 24990 | 3.4801 | {'f1': 0.7483702737940027} | {'accuracy': 0.6299137104506232} |
| 0.0214 | 736.0 | 25024 | 3.3637 | {'f1': 0.7623318385650224} | {'accuracy': 0.6442953020134228} |
| 0.0214 | 737.0 | 25058 | 3.4661 | {'f1': 0.7768800497203231} | {'accuracy': 0.6558005752636625} |
| 0.0214 | 738.0 | 25092 | 3.6616 | {'f1': 0.7579617834394904} | {'accuracy': 0.6356663470757431} |
| 0.0214 | 739.0 | 25126 | 3.4692 | {'f1': 0.787065283709579} | {'accuracy': 0.6653883029721956} |
| 0.0214 | 740.0 | 25160 | 3.4808 | {'f1': 0.7703889585947302} | {'accuracy': 0.6490891658676894} |
| 0.0214 | 741.0 | 25194 | 3.5942 | {'f1': 0.7631746031746031} | {'accuracy': 0.6423777564717162} |
| 0.0214 | 742.0 | 25228 | 3.6474 | {'f1': 0.7622689611217337} | {'accuracy': 0.6423777564717162} |
| 0.0214 | 743.0 | 25262 | 3.4526 | {'f1': 0.7668789808917197} | {'accuracy': 0.6490891658676894} |
| 0.0214 | 744.0 | 25296 | 3.0924 | {'f1': 0.7790262172284643} | {'accuracy': 0.660594439117929} |
| 0.0214 | 745.0 | 25330 | 3.2554 | {'f1': 0.7706885660138976} | {'accuracy': 0.6519654841802492} |
| 0.0214 | 746.0 | 25364 | 3.3562 | {'f1': 0.7745591939546599} | {'accuracy': 0.6567593480345159} |
| 0.0214 | 747.0 | 25398 | 3.4287 | {'f1': 0.794471153846154} | {'accuracy': 0.6720997123681688} |
| 0.0214 | 748.0 | 25432 | 2.9363 | {'f1': 0.7504937458854509} | {'accuracy': 0.6366251198465963} |
| 0.0214 | 749.0 | 25466 | 3.1633 | {'f1': 0.7821229050279329} | {'accuracy': 0.663470757430489} |
| 0.0099 | 750.0 | 25500 | 3.3503 | {'f1': 0.7740717432347387} | {'accuracy': 0.6558005752636625} |
| 0.0099 | 751.0 | 25534 | 3.4358 | {'f1': 0.7748427672955974} | {'accuracy': 0.6567593480345159} |
| 0.0099 | 752.0 | 25568 | 3.4431 | {'f1': 0.7871046228710463} | {'accuracy': 0.6644295302013423} |
| 0.0099 | 753.0 | 25602 | 3.4499 | {'f1': 0.7730986800754243} | {'accuracy': 0.6538830297219559} |
| 0.0099 | 754.0 | 25636 | 3.0209 | {'f1': 0.7816513761467889} | {'accuracy': 0.6577181208053692} |
| 0.0099 | 755.0 | 25670 | 3.2902 | {'f1': 0.785276073619632} | {'accuracy': 0.6644295302013423} |
| 0.0099 | 756.0 | 25704 | 3.0839 | {'f1': 0.77125} | {'accuracy': 0.6490891658676894} |
| 0.0099 | 757.0 | 25738 | 3.2730 | {'f1': 0.7913927077106994} | {'accuracy': 0.6653883029721956} |
| 0.0099 | 758.0 | 25772 | 3.4876 | {'f1': 0.7554697554697555} | {'accuracy': 0.6356663470757431} |
| 0.0099 | 759.0 | 25806 | 3.4868 | {'f1': 0.755784061696658} | {'accuracy': 0.6356663470757431} |
| 0.0099 | 760.0 | 25840 | 3.5194 | {'f1': 0.783404514948139} | {'accuracy': 0.6596356663470757} |
| 0.0099 | 761.0 | 25874 | 3.5636 | {'f1': 0.7668133249528599} | {'accuracy': 0.6442953020134228} |
| 0.0099 | 762.0 | 25908 | 3.3363 | {'f1': 0.7663316582914572} | {'accuracy': 0.6433365292425696} |
| 0.0099 | 763.0 | 25942 | 3.1261 | {'f1': 0.7728686994399502} | {'accuracy': 0.6500479386385427} |
| 0.0099 | 764.0 | 25976 | 3.3692 | {'f1': 0.7807881773399015} | {'accuracy': 0.6586768935762224} |
| 0.0246 | 765.0 | 26010 | 3.1170 | {'f1': 0.7827145465611687} | {'accuracy': 0.6577181208053692} |
| 0.0246 | 766.0 | 26044 | 3.1259 | {'f1': 0.7798053527980535} | {'accuracy': 0.6529242569511026} |
| 0.0246 | 767.0 | 26078 | 3.4133 | {'f1': 0.7506459948320413} | {'accuracy': 0.6299137104506232} |
| 0.0246 | 768.0 | 26112 | 3.4482 | {'f1': 0.7813839559093694} | {'accuracy': 0.6577181208053692} |
| 0.0246 | 769.0 | 26146 | 3.4417 | {'f1': 0.7537168713639302} | {'accuracy': 0.6347075743048898} |
| 0.0246 | 770.0 | 26180 | 3.5607 | {'f1': 0.7565495207667732} | {'accuracy': 0.6347075743048898} |
| 0.0246 | 771.0 | 26214 | 3.5987 | {'f1': 0.782292298362644} | {'accuracy': 0.6558005752636625} |
| 0.0246 | 772.0 | 26248 | 3.5373 | {'f1': 0.7759155803848541} | {'accuracy': 0.6538830297219559} |
| 0.0246 | 773.0 | 26282 | 3.6258 | {'f1': 0.7783251231527094} | {'accuracy': 0.6548418024928092} |
| 0.0246 | 774.0 | 26316 | 3.7564 | {'f1': 0.7501605651894669} | {'accuracy': 0.6270373921380633} |
| 0.0246 | 775.0 | 26350 | 3.6137 | {'f1': 0.7827145465611687} | {'accuracy': 0.6577181208053692} |
| 0.0246 | 776.0 | 26384 | 3.5308 | {'f1': 0.7783312577833126} | {'accuracy': 0.6586768935762224} |
| 0.0246 | 777.0 | 26418 | 3.6252 | {'f1': 0.7674714104193138} | {'accuracy': 0.6490891658676894} |
| 0.0246 | 778.0 | 26452 | 3.6406 | {'f1': 0.7829268292682927} | {'accuracy': 0.6586768935762224} |
| 0.0246 | 779.0 | 26486 | 3.7400 | {'f1': 0.7714464621164684} | {'accuracy': 0.6500479386385427} |
| 0.0109 | 780.0 | 26520 | 3.7891 | {'f1': 0.7778469197261979} | {'accuracy': 0.6577181208053692} |
| 0.0109 | 781.0 | 26554 | 3.6737 | {'f1': 0.7878048780487805} | {'accuracy': 0.6663470757430489} |
| 0.0109 | 782.0 | 26588 | 3.9683 | {'f1': 0.7580952380952379} | {'accuracy': 0.6347075743048898} |
| 0.0109 | 783.0 | 26622 | 4.0483 | {'f1': 0.7691350342252644} | {'accuracy': 0.6442953020134228} |
| 0.0109 | 784.0 | 26656 | 4.0807 | {'f1': 0.770949720670391} | {'accuracy': 0.6462128475551294} |
| 0.0109 | 785.0 | 26690 | 3.0668 | {'f1': 0.7678684376976598} | {'accuracy': 0.6481303930968361} |
| 0.0109 | 786.0 | 26724 | 3.3740 | {'f1': 0.7583120204603581} | {'accuracy': 0.6375838926174496} |
| 0.0109 | 787.0 | 26758 | 3.1852 | {'f1': 0.7674858223062383} | {'accuracy': 0.6462128475551294} |
| 0.0109 | 788.0 | 26792 | 3.5660 | {'f1': 0.7706650093225607} | {'accuracy': 0.6462128475551294} |
| 0.0109 | 789.0 | 26826 | 3.4422 | {'f1': 0.764002517306482} | {'accuracy': 0.6404602109300096} |
| 0.0109 | 790.0 | 26860 | 3.0798 | {'f1': 0.7585335018963337} | {'accuracy': 0.6337488015340365} |
| 0.0109 | 791.0 | 26894 | 3.2104 | {'f1': 0.7574414186193794} | {'accuracy': 0.6327900287631831} |
| 0.0109 | 792.0 | 26928 | 3.4880 | {'f1': 0.7478937135450421} | {'accuracy': 0.6270373921380633} |
| 0.0109 | 793.0 | 26962 | 3.5151 | {'f1': 0.7673981191222571} | {'accuracy': 0.6442953020134228} |
| 0.0109 | 794.0 | 26996 | 3.4694 | {'f1': 0.7573062261753494} | {'accuracy': 0.6337488015340365} |
| 0.0195 | 795.0 | 27030 | 3.5355 | {'f1': 0.7628607277289837} | {'accuracy': 0.6375838926174496} |
| 0.0195 | 796.0 | 27064 | 3.7635 | {'f1': 0.7694220012430081} | {'accuracy': 0.6442953020134228} |
| 0.0195 | 797.0 | 27098 | 2.7780 | {'f1': 0.7580952380952379} | {'accuracy': 0.6347075743048898} |
| 0.0195 | 798.0 | 27132 | 3.2528 | {'f1': 0.7714285714285715} | {'accuracy': 0.6471716203259827} |
| 0.0195 | 799.0 | 27166 | 3.3427 | {'f1': 0.7820279295689133} | {'accuracy': 0.6558005752636625} |
| 0.0195 | 800.0 | 27200 | 3.1607 | {'f1': 0.7644444444444445} | {'accuracy': 0.6442953020134228} |
| 0.0195 | 801.0 | 27234 | 2.6118 | {'f1': 0.7798896382587369} | {'accuracy': 0.6558005752636625} |
| 0.0195 | 802.0 | 27268 | 2.9940 | {'f1': 0.7628865979381444} | {'accuracy': 0.6471716203259827} |
| 0.0195 | 803.0 | 27302 | 2.6766 | {'f1': 0.7757875231624459} | {'accuracy': 0.6519654841802492} |
| 0.0195 | 804.0 | 27336 | 3.2840 | {'f1': 0.7685589519650655} | {'accuracy': 0.6442953020134228} |
| 0.0195 | 805.0 | 27370 | 3.1890 | {'f1': 0.725185685347738} | {'accuracy': 0.6097794822627037} |
| 0.0195 | 806.0 | 27404 | 3.1966 | {'f1': 0.7816944959802103} | {'accuracy': 0.6615532118887824} |
| 0.0195 | 807.0 | 27438 | 3.3602 | {'f1': 0.7753578095830741} | {'accuracy': 0.6538830297219559} |
| 0.0195 | 808.0 | 27472 | 3.4612 | {'f1': 0.7668982943777637} | {'accuracy': 0.6462128475551294} |
| 0.0153 | 809.0 | 27506 | 2.8286 | {'f1': 0.7616020343293072} | {'accuracy': 0.6404602109300096} |
| 0.0153 | 810.0 | 27540 | 3.2337 | {'f1': 0.7655562539283469} | {'accuracy': 0.6423777564717162} |
| 0.0153 | 811.0 | 27574 | 2.9573 | {'f1': 0.7591994835377662} | {'accuracy': 0.6423777564717162} |
| 0.0153 | 812.0 | 27608 | 3.0957 | {'f1': 0.7718416090509113} | {'accuracy': 0.6519654841802492} |
| 0.0153 | 813.0 | 27642 | 3.2513 | {'f1': 0.7717323327079425} | {'accuracy': 0.6500479386385427} |
| 0.0153 | 814.0 | 27676 | 3.0690 | {'f1': 0.7707682698313554} | {'accuracy': 0.6481303930968361} |
| 0.0153 | 815.0 | 27710 | 3.4472 | {'f1': 0.7705845380263985} | {'accuracy': 0.6500479386385427} |
| 0.0153 | 816.0 | 27744 | 3.5754 | {'f1': 0.7832422586520947} | {'accuracy': 0.6577181208053692} |
| 0.0153 | 817.0 | 27778 | 3.5487 | {'f1': 0.76720901126408} | {'accuracy': 0.6433365292425696} |
| 0.0153 | 818.0 | 27812 | 2.7468 | {'f1': 0.761904761904762} | {'accuracy': 0.6452540747842761} |
| 0.0153 | 819.0 | 27846 | 3.1354 | {'f1': 0.7730138713745272} | {'accuracy': 0.6548418024928092} |
| 0.0153 | 820.0 | 27880 | 3.2558 | {'f1': 0.75049115913556} | {'accuracy': 0.6347075743048898} |
| 0.0153 | 821.0 | 27914 | 3.2957 | {'f1': 0.7778469197261979} | {'accuracy': 0.6577181208053692} |
| 0.0153 | 822.0 | 27948 | 3.3624 | {'f1': 0.7765293383270911} | {'accuracy': 0.6567593480345159} |
| 0.0153 | 823.0 | 27982 | 3.3683 | {'f1': 0.7762326169405815} | {'accuracy': 0.660594439117929} |
| 0.0188 | 824.0 | 28016 | 3.4803 | {'f1': 0.77561282212445} | {'accuracy': 0.6577181208053692} |
| 0.0188 | 825.0 | 28050 | 3.5448 | {'f1': 0.7761006289308175} | {'accuracy': 0.6586768935762224} |
| 0.0188 | 826.0 | 28084 | 3.6387 | {'f1': 0.7597911227154047} | {'accuracy': 0.6471716203259827} |
| 0.0188 | 827.0 | 28118 | 3.7013 | {'f1': 0.7810945273631842} | {'accuracy': 0.6625119846596357} |
| 0.0188 | 828.0 | 28152 | 3.4759 | {'f1': 0.7818520820385333} | {'accuracy': 0.663470757430489} |
| 0.0188 | 829.0 | 28186 | 3.2290 | {'f1': 0.7779171894604768} | {'accuracy': 0.660594439117929} |
| 0.0188 | 830.0 | 28220 | 3.3239 | {'f1': 0.7914893617021277} | {'accuracy': 0.6711409395973155} |
| 0.0188 | 831.0 | 28254 | 3.3994 | {'f1': 0.7609120521172639} | {'accuracy': 0.6481303930968361} |
| 0.0188 | 832.0 | 28288 | 3.5631 | {'f1': 0.7879532882606023} | {'accuracy': 0.6692233940556088} |
| 0.0188 | 833.0 | 28322 | 3.6321 | {'f1': 0.7925659472422063} | {'accuracy': 0.6682646212847555} |
| 0.0188 | 834.0 | 28356 | 3.2223 | {'f1': 0.7791718946047679} | {'accuracy': 0.6625119846596357} |
| 0.0188 | 835.0 | 28390 | 3.4175 | {'f1': 0.7803970223325063} | {'accuracy': 0.660594439117929} |
| 0.0188 | 836.0 | 28424 | 3.6157 | {'f1': 0.773667711598746} | {'accuracy': 0.6538830297219559} |
| 0.0188 | 837.0 | 28458 | 3.1823 | {'f1': 0.7759155803848541} | {'accuracy': 0.6538830297219559} |
| 0.0188 | 838.0 | 28492 | 2.6530 | {'f1': 0.7422133863485753} | {'accuracy': 0.6270373921380633} |
| 0.0139 | 839.0 | 28526 | 3.4933 | {'f1': 0.769620253164557} | {'accuracy': 0.6510067114093959} |
| 0.0139 | 840.0 | 28560 | 3.4408 | {'f1': 0.7814407814407816} | {'accuracy': 0.6567593480345159} |
| 0.0139 | 841.0 | 28594 | 3.2955 | {'f1': 0.7575953458306398} | {'accuracy': 0.6404602109300096} |
| 0.0139 | 842.0 | 28628 | 3.3423 | {'f1': 0.7639155470249521} | {'accuracy': 0.6462128475551294} |
| 0.0139 | 843.0 | 28662 | 2.6293 | {'f1': 0.7822878228782288} | {'accuracy': 0.660594439117929} |
| 0.0139 | 844.0 | 28696 | 2.9117 | {'f1': 0.778894472361809} | {'accuracy': 0.6625119846596357} |
| 0.0139 | 845.0 | 28730 | 2.3736 | {'f1': 0.7546925566343042} | {'accuracy': 0.6366251198465963} |
| 0.0139 | 846.0 | 28764 | 3.1138 | {'f1': 0.771663504111322} | {'accuracy': 0.6538830297219559} |
| 0.0139 | 847.0 | 28798 | 3.3373 | {'f1': 0.77338355304457} | {'accuracy': 0.6538830297219559} |
| 0.0139 | 848.0 | 28832 | 3.4141 | {'f1': 0.7821782178217821} | {'accuracy': 0.6625119846596357} |
| 0.0139 | 849.0 | 28866 | 3.4001 | {'f1': 0.780426599749059} | {'accuracy': 0.6644295302013423} |
| 0.0139 | 850.0 | 28900 | 3.4964 | {'f1': 0.7903822441430334} | {'accuracy': 0.6740172579098753} |
| 0.0139 | 851.0 | 28934 | 3.5895 | {'f1': 0.77338355304457} | {'accuracy': 0.6538830297219559} |
| 0.0139 | 852.0 | 28968 | 3.6230 | {'f1': 0.7835178351783518} | {'accuracy': 0.6625119846596357} |
| 0.0194 | 853.0 | 29002 | 3.7072 | {'f1': 0.769620253164557} | {'accuracy': 0.6510067114093959} |
| 0.0194 | 854.0 | 29036 | 3.6519 | {'f1': 0.7687460617517328} | {'accuracy': 0.6481303930968361} |
| 0.0194 | 855.0 | 29070 | 3.6054 | {'f1': 0.772104607721046} | {'accuracy': 0.6490891658676894} |
| 0.0194 | 856.0 | 29104 | 3.7202 | {'f1': 0.7654476670870113} | {'accuracy': 0.6433365292425696} |
| 0.0194 | 857.0 | 29138 | 3.7358 | {'f1': 0.7549839228295819} | {'accuracy': 0.6347075743048898} |
| 0.0194 | 858.0 | 29172 | 3.6723 | {'f1': 0.7815950920245399} | {'accuracy': 0.6586768935762224} |
| 0.0194 | 859.0 | 29206 | 3.5116 | {'f1': 0.7764705882352941} | {'accuracy': 0.6538830297219559} |
| 0.0194 | 860.0 | 29240 | 3.7959 | {'f1': 0.764404609475032} | {'accuracy': 0.6471716203259827} |
| 0.0194 | 861.0 | 29274 | 3.8502 | {'f1': 0.7790769230769231} | {'accuracy': 0.6558005752636625} |
| 0.0194 | 862.0 | 29308 | 3.8901 | {'f1': 0.7540983606557378} | {'accuracy': 0.6404602109300096} |
| 0.0194 | 863.0 | 29342 | 3.7856 | {'f1': 0.7737870195337114} | {'accuracy': 0.6558005752636625} |
| 0.0194 | 864.0 | 29376 | 3.8592 | {'f1': 0.7658755612572161} | {'accuracy': 0.6500479386385427} |
| 0.0194 | 865.0 | 29410 | 3.8204 | {'f1': 0.7786833855799374} | {'accuracy': 0.6615532118887824} |
| 0.0194 | 866.0 | 29444 | 3.8497 | {'f1': 0.7784730913642051} | {'accuracy': 0.660594439117929} |
| 0.0194 | 867.0 | 29478 | 3.8746 | {'f1': 0.7789605510331873} | {'accuracy': 0.6615532118887824} |
| 0.0098 | 868.0 | 29512 | 3.8977 | {'f1': 0.7789605510331873} | {'accuracy': 0.6615532118887824} |
| 0.0098 | 869.0 | 29546 | 3.9275 | {'f1': 0.7786833855799374} | {'accuracy': 0.6615532118887824} |
| 0.0098 | 870.0 | 29580 | 3.9802 | {'f1': 0.7768800497203231} | {'accuracy': 0.6558005752636625} |
| 0.0098 | 871.0 | 29614 | 3.9345 | {'f1': 0.7684478371501272} | {'accuracy': 0.6510067114093959} |
| 0.0098 | 872.0 | 29648 | 2.4241 | {'f1': 0.7896323086196504} | {'accuracy': 0.6653883029721956} |
| 0.0098 | 873.0 | 29682 | 3.0343 | {'f1': 0.77338355304457} | {'accuracy': 0.6538830297219559} |
| 0.0098 | 874.0 | 29716 | 3.0769 | {'f1': 0.7553260167850226} | {'accuracy': 0.6366251198465963} |
| 0.0098 | 875.0 | 29750 | 2.6816 | {'f1': 0.7551546391752577} | {'accuracy': 0.6356663470757431} |
| 0.0098 | 876.0 | 29784 | 3.0345 | {'f1': 0.7663077897403421} | {'accuracy': 0.6462128475551294} |
| 0.0098 | 877.0 | 29818 | 3.0394 | {'f1': 0.7305874409182985} | {'accuracy': 0.6174496644295302} |
| 0.0098 | 878.0 | 29852 | 3.0559 | {'f1': 0.7647058823529411} | {'accuracy': 0.6471716203259827} |
| 0.0098 | 879.0 | 29886 | 2.4933 | {'f1': 0.7622067216233355} | {'accuracy': 0.6404602109300096} |
| 0.0098 | 880.0 | 29920 | 2.9429 | {'f1': 0.7677018633540372} | {'accuracy': 0.6414189837008629} |
| 0.0098 | 881.0 | 29954 | 2.7457 | {'f1': 0.7508090614886732} | {'accuracy': 0.6308724832214765} |
| 0.0098 | 882.0 | 29988 | 3.1447 | {'f1': 0.7525906735751294} | {'accuracy': 0.6337488015340365} |
| 0.0224 | 883.0 | 30022 | 2.5559 | {'f1': 0.740053050397878} | {'accuracy': 0.6241610738255033} |
| 0.0224 | 884.0 | 30056 | 2.7103 | {'f1': 0.7613563659628918} | {'accuracy': 0.6423777564717162} |
| 0.0224 | 885.0 | 30090 | 2.9902 | {'f1': 0.7864488808227466} | {'accuracy': 0.6615532118887824} |
| 0.0224 | 886.0 | 30124 | 3.1405 | {'f1': 0.7679593134138589} | {'accuracy': 0.6500479386385427} |
| 0.0224 | 887.0 | 30158 | 3.2812 | {'f1': 0.7521145087833442} | {'accuracy': 0.6347075743048898} |
| 0.0224 | 888.0 | 30192 | 3.2163 | {'f1': 0.7834549878345499} | {'accuracy': 0.6586768935762224} |
| 0.0224 | 889.0 | 30226 | 3.2749 | {'f1': 0.7645181876196554} | {'accuracy': 0.6462128475551294} |
| 0.0224 | 890.0 | 30260 | 3.3135 | {'f1': 0.7748303516347934} | {'accuracy': 0.6500479386385427} |
| 0.0224 | 891.0 | 30294 | 3.3896 | {'f1': 0.7714464621164684} | {'accuracy': 0.6500479386385427} |
| 0.0224 | 892.0 | 30328 | 3.3232 | {'f1': 0.7761377613776137} | {'accuracy': 0.6510067114093959} |
| 0.0224 | 893.0 | 30362 | 3.3876 | {'f1': 0.7761377613776137} | {'accuracy': 0.6510067114093959} |
| 0.0224 | 894.0 | 30396 | 2.9084 | {'f1': 0.7826617826617827} | {'accuracy': 0.6586768935762224} |
| 0.0224 | 895.0 | 30430 | 2.7039 | {'f1': 0.7724137931034483} | {'accuracy': 0.6519654841802492} |
| 0.0224 | 896.0 | 30464 | 2.9542 | {'f1': 0.7734668335419274} | {'accuracy': 0.6529242569511026} |
| 0.0224 | 897.0 | 30498 | 3.0247 | {'f1': 0.7818627450980392} | {'accuracy': 0.6586768935762224} |
| 0.019 | 898.0 | 30532 | 2.8344 | {'f1': 0.7842900302114804} | {'accuracy': 0.6577181208053692} |
| 0.019 | 899.0 | 30566 | 2.7212 | {'f1': 0.766624843161857} | {'accuracy': 0.6433365292425696} |
| 0.019 | 900.0 | 30600 | 2.8198 | {'f1': 0.7662255828607436} | {'accuracy': 0.6442953020134228} |
| 0.019 | 901.0 | 30634 | 2.5584 | {'f1': 0.7696139476961394} | {'accuracy': 0.6452540747842761} |
| 0.019 | 902.0 | 30668 | 2.8031 | {'f1': 0.7832422586520947} | {'accuracy': 0.6577181208053692} |
| 0.019 | 903.0 | 30702 | 2.4784 | {'f1': 0.7687499999999998} | {'accuracy': 0.6452540747842761} |
| 0.019 | 904.0 | 30736 | 3.0303 | {'f1': 0.7519280205655527} | {'accuracy': 0.6299137104506232} |
| 0.019 | 905.0 | 30770 | 3.1914 | {'f1': 0.7757125154894672} | {'accuracy': 0.6529242569511026} |
| 0.019 | 906.0 | 30804 | 3.3730 | {'f1': 0.7678795483061481} | {'accuracy': 0.6452540747842761} |
| 0.019 | 907.0 | 30838 | 3.1239 | {'f1': 0.7629392971246006} | {'accuracy': 0.6442953020134228} |
| 0.019 | 908.0 | 30872 | 3.2712 | {'f1': 0.7764127764127764} | {'accuracy': 0.6510067114093959} |
| 0.019 | 909.0 | 30906 | 3.1793 | {'f1': 0.7590206185567011} | {'accuracy': 0.6414189837008629} |
| 0.019 | 910.0 | 30940 | 3.3314 | {'f1': 0.7683544303797468} | {'accuracy': 0.6490891658676894} |
| 0.019 | 911.0 | 30974 | 3.3945 | {'f1': 0.7721280602636535} | {'accuracy': 0.6519654841802492} |
| 0.0156 | 912.0 | 31008 | 3.4313 | {'f1': 0.7614213197969542} | {'accuracy': 0.6395014381591563} |
| 0.0156 | 913.0 | 31042 | 3.5896 | {'f1': 0.7522816166883963} | {'accuracy': 0.6356663470757431} |
| 0.0156 | 914.0 | 31076 | 3.1290 | {'f1': 0.7794935145151328} | {'accuracy': 0.6577181208053692} |
| 0.0156 | 915.0 | 31110 | 3.2955 | {'f1': 0.755128205128205} | {'accuracy': 0.6337488015340365} |
| 0.0156 | 916.0 | 31144 | 3.0015 | {'f1': 0.7380170715692711} | {'accuracy': 0.6174496644295302} |
| 0.0156 | 917.0 | 31178 | 2.9385 | {'f1': 0.7663316582914572} | {'accuracy': 0.6433365292425696} |
| 0.0156 | 918.0 | 31212 | 3.1961 | {'f1': 0.7625716104392106} | {'accuracy': 0.6423777564717162} |
| 0.0156 | 919.0 | 31246 | 3.2390 | {'f1': 0.7830362630608482} | {'accuracy': 0.6615532118887824} |
| 0.0156 | 920.0 | 31280 | 3.2808 | {'f1': 0.7807881773399015} | {'accuracy': 0.6586768935762224} |
| 0.0156 | 921.0 | 31314 | 2.9886 | {'f1': 0.747871643745907} | {'accuracy': 0.6308724832214765} |
| 0.0156 | 922.0 | 31348 | 2.7413 | {'f1': 0.7754342431761787} | {'accuracy': 0.6529242569511026} |
| 0.0156 | 923.0 | 31382 | 3.0595 | {'f1': 0.7697160883280757} | {'accuracy': 0.6500479386385427} |
| 0.0156 | 924.0 | 31416 | 2.8599 | {'f1': 0.7738693467336684} | {'accuracy': 0.6548418024928092} |
| 0.0156 | 925.0 | 31450 | 2.9919 | {'f1': 0.7855392156862745} | {'accuracy': 0.6644295302013423} |
| 0.0156 | 926.0 | 31484 | 3.1386 | {'f1': 0.7866261398176292} | {'accuracy': 0.663470757430489} |
| 0.0203 | 927.0 | 31518 | 2.5831 | {'f1': 0.772983114446529} | {'accuracy': 0.6519654841802492} |
| 0.0203 | 928.0 | 31552 | 2.9801 | {'f1': 0.7785977859778597} | {'accuracy': 0.6548418024928092} |
| 0.0203 | 929.0 | 31586 | 3.1852 | {'f1': 0.7740324594257179} | {'accuracy': 0.6529242569511026} |
| 0.0203 | 930.0 | 31620 | 3.1615 | {'f1': 0.7865443425076453} | {'accuracy': 0.6653883029721956} |
| 0.0203 | 931.0 | 31654 | 2.8908 | {'f1': 0.772983114446529} | {'accuracy': 0.6519654841802492} |
| 0.0203 | 932.0 | 31688 | 2.9225 | {'f1': 0.7759155803848541} | {'accuracy': 0.6538830297219559} |
| 0.0203 | 933.0 | 31722 | 3.1010 | {'f1': 0.7788046826863833} | {'accuracy': 0.6558005752636625} |
| 0.0203 | 934.0 | 31756 | 3.1696 | {'f1': 0.7603626943005182} | {'accuracy': 0.6452540747842761} |
| 0.0203 | 935.0 | 31790 | 3.3642 | {'f1': 0.756686236138291} | {'accuracy': 0.6423777564717162} |
| 0.0203 | 936.0 | 31824 | 3.1413 | {'f1': 0.7787499999999998} | {'accuracy': 0.660594439117929} |
| 0.0203 | 937.0 | 31858 | 3.4142 | {'f1': 0.75065963060686} | {'accuracy': 0.6375838926174496} |
| 0.0203 | 938.0 | 31892 | 3.3984 | {'f1': 0.7587096774193548} | {'accuracy': 0.6414189837008629} |
| 0.0203 | 939.0 | 31926 | 3.5644 | {'f1': 0.7506527415143603} | {'accuracy': 0.6337488015340365} |
| 0.0203 | 940.0 | 31960 | 3.4958 | {'f1': 0.7594611930724823} | {'accuracy': 0.6404602109300096} |
| 0.0203 | 941.0 | 31994 | 3.2864 | {'f1': 0.7631746031746031} | {'accuracy': 0.6423777564717162} |
| 0.0131 | 942.0 | 32028 | 3.5385 | {'f1': 0.7565495207667732} | {'accuracy': 0.6347075743048898} |
| 0.0131 | 943.0 | 32062 | 3.6285 | {'f1': 0.7560664112388251} | {'accuracy': 0.6337488015340365} |
| 0.0131 | 944.0 | 32096 | 3.8269 | {'f1': 0.7528809218950064} | {'accuracy': 0.6299137104506232} |
| 0.0131 | 945.0 | 32130 | 3.8091 | {'f1': 0.7342799188640974} | {'accuracy': 0.62320230105465} |
| 0.0131 | 946.0 | 32164 | 3.1788 | {'f1': 0.7604562737642585} | {'accuracy': 0.6375838926174496} |
| 0.0131 | 947.0 | 32198 | 3.2656 | {'f1': 0.78069639584606} | {'accuracy': 0.6558005752636625} |
| 0.0131 | 948.0 | 32232 | 2.9097 | {'f1': 0.7498375568551007} | {'accuracy': 0.6308724832214765} |
| 0.0131 | 949.0 | 32266 | 3.1652 | {'f1': 0.7673981191222571} | {'accuracy': 0.6442953020134228} |
| 0.0131 | 950.0 | 32300 | 3.3258 | {'f1': 0.7657430730478589} | {'accuracy': 0.6433365292425696} |
| 0.0131 | 951.0 | 32334 | 2.0788 | {'f1': 0.7686472819216181} | {'accuracy': 0.6490891658676894} |
| 0.0131 | 952.0 | 32368 | 2.5766 | {'f1': 0.7444298820445608} | {'accuracy': 0.62607861936721} |
| 0.0131 | 953.0 | 32402 | 2.6625 | {'f1': 0.7629255989911727} | {'accuracy': 0.6395014381591563} |
| 0.0131 | 954.0 | 32436 | 2.9633 | {'f1': 0.7701941139636819} | {'accuracy': 0.6481303930968361} |
| 0.0131 | 955.0 | 32470 | 2.8830 | {'f1': 0.7651515151515151} | {'accuracy': 0.6433365292425696} |
| 0.0264 | 956.0 | 32504 | 2.9902 | {'f1': 0.7636594663278271} | {'accuracy': 0.6433365292425696} |
| 0.0264 | 957.0 | 32538 | 2.9038 | {'f1': 0.7698113207547169} | {'accuracy': 0.6490891658676894} |
| 0.0264 | 958.0 | 32572 | 2.9803 | {'f1': 0.7851037851037851} | {'accuracy': 0.6625119846596357} |
| 0.0264 | 959.0 | 32606 | 2.8289 | {'f1': 0.7653383934218849} | {'accuracy': 0.6442953020134228} |
| 0.0264 | 960.0 | 32640 | 3.0349 | {'f1': 0.7455853499018966} | {'accuracy': 0.6270373921380633} |
| 0.0264 | 961.0 | 32674 | 2.9979 | {'f1': 0.7650411652944902} | {'accuracy': 0.6442953020134228} |
| 0.0264 | 962.0 | 32708 | 2.4664 | {'f1': 0.7812309567336991} | {'accuracy': 0.6558005752636625} |
| 0.0264 | 963.0 | 32742 | 2.9451 | {'f1': 0.7366310160427807} | {'accuracy': 0.6222435282837967} |
| 0.0264 | 964.0 | 32776 | 3.1129 | {'f1': 0.76} | {'accuracy': 0.6433365292425696} |
| 0.0264 | 965.0 | 32810 | 3.2325 | {'f1': 0.7593790426908149} | {'accuracy': 0.6433365292425696} |
| 0.0264 | 966.0 | 32844 | 3.2307 | {'f1': 0.7749535027898325} | {'accuracy': 0.6519654841802492} |
| 0.0264 | 967.0 | 32878 | 3.0283 | {'f1': 0.7735495945102931} | {'accuracy': 0.6519654841802492} |
| 0.0264 | 968.0 | 32912 | 3.2840 | {'f1': 0.7365661861074705} | {'accuracy': 0.6145733461169702} |
| 0.0264 | 969.0 | 32946 | 3.4865 | {'f1': 0.7554697554697555} | {'accuracy': 0.6356663470757431} |
| 0.0264 | 970.0 | 32980 | 3.3467 | {'f1': 0.7743526510480888} | {'accuracy': 0.6490891658676894} |
| 0.0247 | 971.0 | 33014 | 3.3892 | {'f1': 0.7720174890693317} | {'accuracy': 0.6500479386385427} |
| 0.0247 | 972.0 | 33048 | 3.4494 | {'f1': 0.7772979642196176} | {'accuracy': 0.6538830297219559} |
| 0.0247 | 973.0 | 33082 | 3.3941 | {'f1': 0.7709637046307886} | {'accuracy': 0.6490891658676894} |
| 0.0247 | 974.0 | 33116 | 3.3265 | {'f1': 0.7896009673518742} | {'accuracy': 0.6663470757430489} |
| 0.0247 | 975.0 | 33150 | 3.6324 | {'f1': 0.7519280205655527} | {'accuracy': 0.6299137104506232} |
| 0.0247 | 976.0 | 33184 | 3.5478 | {'f1': 0.7175675675675675} | {'accuracy': 0.5992329817833174} |
| 0.0247 | 977.0 | 33218 | 3.2066 | {'f1': 0.7772979642196176} | {'accuracy': 0.6538830297219559} |
| 0.0247 | 978.0 | 33252 | 3.3107 | {'f1': 0.7795566502463055} | {'accuracy': 0.6567593480345159} |
| 0.0247 | 979.0 | 33286 | 3.5425 | {'f1': 0.7602040816326531} | {'accuracy': 0.6395014381591563} |
| 0.0247 | 980.0 | 33320 | 3.6163 | {'f1': 0.7595907928388747} | {'accuracy': 0.6395014381591563} |
| 0.0247 | 981.0 | 33354 | 3.6694 | {'f1': 0.7614795918367347} | {'accuracy': 0.6414189837008629} |
| 0.0247 | 982.0 | 33388 | 3.7330 | {'f1': 0.7611749680715199} | {'accuracy': 0.6414189837008629} |
| 0.0247 | 983.0 | 33422 | 3.1216 | {'f1': 0.7731510254816656} | {'accuracy': 0.6500479386385427} |
| 0.0247 | 984.0 | 33456 | 3.4072 | {'f1': 0.7682619647355164} | {'accuracy': 0.6471716203259827} |
| 0.0247 | 985.0 | 33490 | 3.9472 | {'f1': 0.7131147540983607} | {'accuracy': 0.5973154362416108} |
| 0.008 | 986.0 | 33524 | 3.1238 | {'f1': 0.7548138639281129} | {'accuracy': 0.6337488015340365} |
| 0.008 | 987.0 | 33558 | 3.3526 | {'f1': 0.7663316582914572} | {'accuracy': 0.6433365292425696} |
| 0.008 | 988.0 | 33592 | 3.5217 | {'f1': 0.7604562737642585} | {'accuracy': 0.6375838926174496} |
| 0.008 | 989.0 | 33626 | 3.5817 | {'f1': 0.766624843161857} | {'accuracy': 0.6433365292425696} |
| 0.008 | 990.0 | 33660 | 3.5876 | {'f1': 0.7788046826863833} | {'accuracy': 0.6558005752636625} |
| 0.008 | 991.0 | 33694 | 3.8325 | {'f1': 0.7377483443708609} | {'accuracy': 0.6203259827420902} |
| 0.008 | 992.0 | 33728 | 3.6488 | {'f1': 0.768079800498753} | {'accuracy': 0.6433365292425696} |
| 0.008 | 993.0 | 33762 | 3.6282 | {'f1': 0.768170426065163} | {'accuracy': 0.6452540747842761} |
| 0.008 | 994.0 | 33796 | 3.2335 | {'f1': 0.7437252311756936} | {'accuracy': 0.6279961649089166} |
| 0.008 | 995.0 | 33830 | 3.4992 | {'f1': 0.775232198142415} | {'accuracy': 0.6519654841802492} |
| 0.008 | 996.0 | 33864 | 3.4267 | {'f1': 0.7675744141861938} | {'accuracy': 0.6481303930968361} |
| 0.008 | 997.0 | 33898 | 3.5678 | {'f1': 0.7695214105793451} | {'accuracy': 0.6490891658676894} |
| 0.008 | 998.0 | 33932 | 3.6563 | {'f1': 0.7888687235329703} | {'accuracy': 0.6653883029721956} |
| 0.008 | 999.0 | 33966 | 3.4713 | {'f1': 0.7421718854097268} | {'accuracy': 0.6289549376797698} |
| 0.0143 | 1000.0 | 34000 | 3.5262 | {'f1': 0.77125} | {'accuracy': 0.6490891658676894} |
| 0.0143 | 1001.0 | 34034 | 3.6500 | {'f1': 0.7719080174021131} | {'accuracy': 0.6481303930968361} |
| 0.0143 | 1002.0 | 34068 | 3.7148 | {'f1': 0.7726708074534162} | {'accuracy': 0.6490891658676894} |
| 0.0143 | 1003.0 | 34102 | 3.7333 | {'f1': 0.7718204488778054} | {'accuracy': 0.6490891658676894} |
| 0.0143 | 1004.0 | 34136 | 3.7059 | {'f1': 0.7676767676767677} | {'accuracy': 0.6471716203259827} |
| 0.0143 | 1005.0 | 34170 | 3.5424 | {'f1': 0.7793484941610326} | {'accuracy': 0.6558005752636625} |
| 0.0143 | 1006.0 | 34204 | 3.4606 | {'f1': 0.7753086419753086} | {'accuracy': 0.6510067114093959} |
| 0.0143 | 1007.0 | 34238 | 3.6068 | {'f1': 0.7798277982779828} | {'accuracy': 0.6567593480345159} |
| 0.0143 | 1008.0 | 34272 | 3.2293 | {'f1': 0.7696139476961394} | {'accuracy': 0.6452540747842761} |
| 0.0143 | 1009.0 | 34306 | 2.8437 | {'f1': 0.7790769230769231} | {'accuracy': 0.6558005752636625} |
| 0.0143 | 1010.0 | 34340 | 3.3067 | {'f1': 0.7394736842105262} | {'accuracy': 0.6203259827420902} |
| 0.0143 | 1011.0 | 34374 | 3.5149 | {'f1': 0.7482200647249191} | {'accuracy': 0.6270373921380633} |
| 0.0143 | 1012.0 | 34408 | 3.5788 | {'f1': 0.741956664478004} | {'accuracy': 0.62320230105465} |
| 0.0143 | 1013.0 | 34442 | 3.3440 | {'f1': 0.7473821989528796} | {'accuracy': 0.6299137104506232} |
| 0.0143 | 1014.0 | 34476 | 3.2410 | {'f1': 0.7659305993690851} | {'accuracy': 0.6442953020134228} |
| 0.0166 | 1015.0 | 34510 | 2.8688 | {'f1': 0.7632911392405063} | {'accuracy': 0.6414189837008629} |
| 0.0166 | 1016.0 | 34544 | 3.2079 | {'f1': 0.7663077897403421} | {'accuracy': 0.6462128475551294} |
| 0.0166 | 1017.0 | 34578 | 3.3744 | {'f1': 0.766118836915297} | {'accuracy': 0.6452540747842761} |
| 0.0166 | 1018.0 | 34612 | 3.3989 | {'f1': 0.7697121401752192} | {'accuracy': 0.6471716203259827} |
| 0.0166 | 1019.0 | 34646 | 3.1544 | {'f1': 0.7427821522309711} | {'accuracy': 0.6241610738255033} |
| 0.0166 | 1020.0 | 34680 | 3.0963 | {'f1': 0.7743142144638405} | {'accuracy': 0.6529242569511026} |
| 0.0166 | 1021.0 | 34714 | 3.1815 | {'f1': 0.7770311545510079} | {'accuracy': 0.6500479386385427} |
| 0.0166 | 1022.0 | 34748 | 3.2923 | {'f1': 0.7817073170731708} | {'accuracy': 0.6567593480345159} |
| 0.0166 | 1023.0 | 34782 | 3.3281 | {'f1': 0.7695167286245354} | {'accuracy': 0.6433365292425696} |
| 0.0166 | 1024.0 | 34816 | 3.4365 | {'f1': 0.7775061124694378} | {'accuracy': 0.6510067114093959} |
| 0.0166 | 1025.0 | 34850 | 2.8583 | {'f1': 0.7606349206349207} | {'accuracy': 0.638542665388303} |
| 0.0166 | 1026.0 | 34884 | 3.4790 | {'f1': 0.7602783048703353} | {'accuracy': 0.6366251198465963} |
| 0.0166 | 1027.0 | 34918 | 3.2265 | {'f1': 0.7688473520249222} | {'accuracy': 0.6442953020134228} |
| 0.0166 | 1028.0 | 34952 | 3.4501 | {'f1': 0.7495069033530573} | {'accuracy': 0.6347075743048898} |
| 0.0166 | 1029.0 | 34986 | 3.5660 | {'f1': 0.771712158808933} | {'accuracy': 0.6471716203259827} |
| 0.0153 | 1030.0 | 35020 | 3.1122 | {'f1': 0.7758620689655172} | {'accuracy': 0.6510067114093959} |
| 0.0153 | 1031.0 | 35054 | 3.4561 | {'f1': 0.7641449459631278} | {'accuracy': 0.6442953020134228} |
| 0.0153 | 1032.0 | 35088 | 3.3152 | {'f1': 0.787143723468769} | {'accuracy': 0.663470757430489} |
| 0.0153 | 1033.0 | 35122 | 3.3813 | {'f1': 0.7637997432605904} | {'accuracy': 0.6471716203259827} |
| 0.0153 | 1034.0 | 35156 | 3.4854 | {'f1': 0.7591994835377662} | {'accuracy': 0.6423777564717162} |
| 0.0153 | 1035.0 | 35190 | 3.5682 | {'f1': 0.7501630789302022} | {'accuracy': 0.6327900287631831} |
| 0.0153 | 1036.0 | 35224 | 3.6545 | {'f1': 0.7674858223062383} | {'accuracy': 0.6462128475551294} |
| 0.0153 | 1037.0 | 35258 | 3.7051 | {'f1': 0.7655562539283469} | {'accuracy': 0.6423777564717162} |
| 0.0153 | 1038.0 | 35292 | 3.6774 | {'f1': 0.7759361571516268} | {'accuracy': 0.6500479386385427} |
| 0.0153 | 1039.0 | 35326 | 4.1983 | {'f1': 0.7165193745751189} | {'accuracy': 0.6001917545541706} |
| 0.0153 | 1040.0 | 35360 | 3.9507 | {'f1': 0.7725587144622991} | {'accuracy': 0.6471716203259827} |
| 0.0153 | 1041.0 | 35394 | 3.6742 | {'f1': 0.767601246105919} | {'accuracy': 0.6423777564717162} |
| 0.0153 | 1042.0 | 35428 | 2.9109 | {'f1': 0.7677018633540372} | {'accuracy': 0.6414189837008629} |
| 0.0153 | 1043.0 | 35462 | 3.2094 | {'f1': 0.7640449438202248} | {'accuracy': 0.6375838926174496} |
| 0.0153 | 1044.0 | 35496 | 3.3904 | {'f1': 0.7632729544034977} | {'accuracy': 0.6366251198465963} |
| 0.0099 | 1045.0 | 35530 | 3.5014 | {'f1': 0.7622027534418022} | {'accuracy': 0.6356663470757431} |
| 0.0099 | 1046.0 | 35564 | 3.5894 | {'f1': 0.7619047619047619} | {'accuracy': 0.6356663470757431} |
| 0.0099 | 1047.0 | 35598 | 3.7856 | {'f1': 0.7405475880052151} | {'accuracy': 0.6184084372003835} |
| 0.0099 | 1048.0 | 35632 | 3.4279 | {'f1': 0.7536600891152132} | {'accuracy': 0.6289549376797698} |
| 0.0099 | 1049.0 | 35666 | 3.5145 | {'f1': 0.7594936708860759} | {'accuracy': 0.6356663470757431} |
| 0.0099 | 1050.0 | 35700 | 3.5792 | {'f1': 0.7814407814407816} | {'accuracy': 0.6567593480345159} |
| 0.0099 | 1051.0 | 35734 | 2.5956 | {'f1': 0.7747524752475249} | {'accuracy': 0.6510067114093959} |
| 0.0099 | 1052.0 | 35768 | 3.0040 | {'f1': 0.7713395638629283} | {'accuracy': 0.6481303930968361} |
| 0.0099 | 1053.0 | 35802 | 2.4435 | {'f1': 0.7634069400630915} | {'accuracy': 0.6404602109300096} |
| 0.0099 | 1054.0 | 35836 | 2.9657 | {'f1': 0.7652611705475141} | {'accuracy': 0.6423777564717162} |
| 0.0099 | 1055.0 | 35870 | 3.1640 | {'f1': 0.7652611705475141} | {'accuracy': 0.6423777564717162} |
| 0.0099 | 1056.0 | 35904 | 2.9451 | {'f1': 0.7779141104294478} | {'accuracy': 0.6529242569511026} |
| 0.0099 | 1057.0 | 35938 | 3.1972 | {'f1': 0.760828625235405} | {'accuracy': 0.6347075743048898} |
| 0.0099 | 1058.0 | 35972 | 2.8189 | {'f1': 0.7883917775090689} | {'accuracy': 0.6644295302013423} |
| 0.0124 | 1059.0 | 36006 | 3.1974 | {'f1': 0.7556675062972291} | {'accuracy': 0.6279961649089166} |
| 0.0124 | 1060.0 | 36040 | 2.5690 | {'f1': 0.7658779576587795} | {'accuracy': 0.6395014381591563} |
| 0.0124 | 1061.0 | 36074 | 2.9210 | {'f1': 0.7609384908053265} | {'accuracy': 0.638542665388303} |
| 0.0124 | 1062.0 | 36108 | 3.0680 | {'f1': 0.7587523870146403} | {'accuracy': 0.6366251198465963} |
| 0.0124 | 1063.0 | 36142 | 3.2884 | {'f1': 0.7475665152498377} | {'accuracy': 0.6270373921380633} |
| 0.0124 | 1064.0 | 36176 | 2.9343 | {'f1': 0.7625716104392106} | {'accuracy': 0.6423777564717162} |
| 0.0124 | 1065.0 | 36210 | 2.4727 | {'f1': 0.772104607721046} | {'accuracy': 0.6490891658676894} |
| 0.0124 | 1066.0 | 36244 | 2.4596 | {'f1': 0.7801592161665647} | {'accuracy': 0.6558005752636625} |
| 0.0124 | 1067.0 | 36278 | 2.8949 | {'f1': 0.7459389213775178} | {'accuracy': 0.6251198465963567} |
| 0.0124 | 1068.0 | 36312 | 3.0162 | {'f1': 0.7662255828607436} | {'accuracy': 0.6442953020134228} |
| 0.0124 | 1069.0 | 36346 | 3.0754 | {'f1': 0.7446113651208359} | {'accuracy': 0.6251198465963567} |
| 0.0124 | 1070.0 | 36380 | 3.3011 | {'f1': 0.7132101300479124} | {'accuracy': 0.5982742090124641} |
| 0.0124 | 1071.0 | 36414 | 3.3020 | {'f1': 0.7532133676092545} | {'accuracy': 0.6318312559923298} |
| 0.0124 | 1072.0 | 36448 | 3.4172 | {'f1': 0.7457846952010375} | {'accuracy': 0.6241610738255033} |
| 0.0124 | 1073.0 | 36482 | 2.8267 | {'f1': 0.7623261694058154} | {'accuracy': 0.6395014381591563} |
| 0.0183 | 1074.0 | 36516 | 3.1255 | {'f1': 0.7402088772845953} | {'accuracy': 0.6184084372003835} |
| 0.0183 | 1075.0 | 36550 | 3.1106 | {'f1': 0.7605633802816901} | {'accuracy': 0.6414189837008629} |
| 0.0183 | 1076.0 | 36584 | 3.3124 | {'f1': 0.7293333333333333} | {'accuracy': 0.610738255033557} |
| 0.0183 | 1077.0 | 36618 | 3.1310 | {'f1': 0.7549584133077415} | {'accuracy': 0.6327900287631831} |
| 0.0183 | 1078.0 | 36652 | 3.0617 | {'f1': 0.7803360298693217} | {'accuracy': 0.6615532118887824} |
| 0.0183 | 1079.0 | 36686 | 3.1272 | {'f1': 0.7511254019292604} | {'accuracy': 0.6289549376797698} |
| 0.0183 | 1080.0 | 36720 | 3.0599 | {'f1': 0.7725} | {'accuracy': 0.6510067114093959} |
| 0.0183 | 1081.0 | 36754 | 3.3523 | {'f1': 0.745252128356254} | {'accuracy': 0.6270373921380633} |
| 0.0183 | 1082.0 | 36788 | 3.2895 | {'f1': 0.7737499999999999} | {'accuracy': 0.6529242569511026} |
| 0.0183 | 1083.0 | 36822 | 3.3763 | {'f1': 0.7649301143583226} | {'accuracy': 0.6452540747842761} |
| 0.0183 | 1084.0 | 36856 | 3.2943 | {'f1': 0.7779839208410637} | {'accuracy': 0.6558005752636625} |
| 0.0183 | 1085.0 | 36890 | 3.0697 | {'f1': 0.7752808988764045} | {'accuracy': 0.6548418024928092} |
| 0.0183 | 1086.0 | 36924 | 3.1816 | {'f1': 0.7676767676767677} | {'accuracy': 0.6471716203259827} |
| 0.0183 | 1087.0 | 36958 | 3.3870 | {'f1': 0.7446113651208359} | {'accuracy': 0.6251198465963567} |
| 0.0183 | 1088.0 | 36992 | 3.4267 | {'f1': 0.7551546391752577} | {'accuracy': 0.6356663470757431} |
| 0.01 | 1089.0 | 37026 | 3.3522 | {'f1': 0.7685534591194969} | {'accuracy': 0.6471716203259827} |
| 0.01 | 1090.0 | 37060 | 3.5025 | {'f1': 0.7545219638242894} | {'accuracy': 0.6356663470757431} |
| 0.01 | 1091.0 | 37094 | 3.3972 | {'f1': 0.7532299741602067} | {'accuracy': 0.6337488015340365} |
| 0.01 | 1092.0 | 37128 | 3.4492 | {'f1': 0.7624521072796935} | {'accuracy': 0.6433365292425696} |
| 0.01 | 1093.0 | 37162 | 2.9776 | {'f1': 0.7740324594257179} | {'accuracy': 0.6529242569511026} |
| 0.01 | 1094.0 | 37196 | 3.1813 | {'f1': 0.7676894176581088} | {'accuracy': 0.6442953020134228} |
| 0.01 | 1095.0 | 37230 | 3.3242 | {'f1': 0.7678795483061481} | {'accuracy': 0.6452540747842761} |
| 0.01 | 1096.0 | 37264 | 3.0658 | {'f1': 0.7683615819209039} | {'accuracy': 0.6462128475551294} |
| 0.01 | 1097.0 | 37298 | 2.7213 | {'f1': 0.7777089783281733} | {'accuracy': 0.6558005752636625} |
| 0.01 | 1098.0 | 37332 | 2.5790 | {'f1': 0.7820197044334977} | {'accuracy': 0.660594439117929} |
| 0.01 | 1099.0 | 37366 | 2.8236 | {'f1': 0.7688442211055276} | {'accuracy': 0.6471716203259827} |
| 0.01 | 1100.0 | 37400 | 3.0562 | {'f1': 0.7532133676092545} | {'accuracy': 0.6318312559923298} |
| 0.01 | 1101.0 | 37434 | 3.1945 | {'f1': 0.7594128908742821} | {'accuracy': 0.638542665388303} |
| 0.01 | 1102.0 | 37468 | 3.3936 | {'f1': 0.7387862796833773} | {'accuracy': 0.6203259827420902} |
| 0.0119 | 1103.0 | 37502 | 3.0327 | {'f1': 0.7389875082182775} | {'accuracy': 0.6193672099712368} |
| 0.0119 | 1104.0 | 37536 | 3.1325 | {'f1': 0.7541613316261203} | {'accuracy': 0.6318312559923298} |
| 0.0119 | 1105.0 | 37570 | 3.2836 | {'f1': 0.7719298245614036} | {'accuracy': 0.6510067114093959} |
| 0.0119 | 1106.0 | 37604 | 2.7882 | {'f1': 0.7766749379652604} | {'accuracy': 0.6548418024928092} |
| 0.0119 | 1107.0 | 37638 | 2.7023 | {'f1': 0.785012285012285} | {'accuracy': 0.6644295302013423} |
| 0.0119 | 1108.0 | 37672 | 3.1380 | {'f1': 0.7488643737832575} | {'accuracy': 0.6289549376797698} |
| 0.0119 | 1109.0 | 37706 | 3.4091 | {'f1': 0.7051546391752578} | {'accuracy': 0.588686481303931} |
| 0.0119 | 1110.0 | 37740 | 3.0139 | {'f1': 0.7688442211055276} | {'accuracy': 0.6471716203259827} |
| 0.0119 | 1111.0 | 37774 | 3.0955 | {'f1': 0.7773631840796019} | {'accuracy': 0.6567593480345159} |
| 0.0119 | 1112.0 | 37808 | 3.1418 | {'f1': 0.7734668335419274} | {'accuracy': 0.6529242569511026} |
| 0.0119 | 1113.0 | 37842 | 3.3120 | {'f1': 0.750161394448031} | {'accuracy': 0.6289549376797698} |
| 0.0119 | 1114.0 | 37876 | 3.2785 | {'f1': 0.7541613316261203} | {'accuracy': 0.6318312559923298} |
| 0.0119 | 1115.0 | 37910 | 3.5830 | {'f1': 0.7277556440903054} | {'accuracy': 0.6069031639501438} |
| 0.0119 | 1116.0 | 37944 | 3.3792 | {'f1': 0.7739511584220413} | {'accuracy': 0.6538830297219559} |
| 0.0119 | 1117.0 | 37978 | 3.4931 | {'f1': 0.7535483870967743} | {'accuracy': 0.6337488015340365} |
| 0.0127 | 1118.0 | 38012 | 3.5276 | {'f1': 0.7504860661049902} | {'accuracy': 0.6308724832214765} |
| 0.0127 | 1119.0 | 38046 | 3.1880 | {'f1': 0.7490196078431373} | {'accuracy': 0.6318312559923298} |
| 0.0127 | 1120.0 | 38080 | 2.5573 | {'f1': 0.7583120204603581} | {'accuracy': 0.6375838926174496} |
| 0.0127 | 1121.0 | 38114 | 2.8369 | {'f1': 0.7730364873222016} | {'accuracy': 0.6481303930968361} |
| 0.0127 | 1122.0 | 38148 | 3.1348 | {'f1': 0.7562380038387715} | {'accuracy': 0.6347075743048898} |
| 0.0127 | 1123.0 | 38182 | 2.9370 | {'f1': 0.7739938080495355} | {'accuracy': 0.6500479386385427} |
| 0.0127 | 1124.0 | 38216 | 2.8621 | {'f1': 0.7743526510480888} | {'accuracy': 0.6490891658676894} |
| 0.0127 | 1125.0 | 38250 | 2.7667 | {'f1': 0.7356624917600526} | {'accuracy': 0.6155321188878236} |
| 0.0127 | 1126.0 | 38284 | 2.8564 | {'f1': 0.7282392026578074} | {'accuracy': 0.6078619367209971} |
| 0.0127 | 1127.0 | 38318 | 2.9131 | {'f1': 0.7632911392405063} | {'accuracy': 0.6414189837008629} |
| 0.0127 | 1128.0 | 38352 | 2.8649 | {'f1': 0.7371167645140249} | {'accuracy': 0.613614573346117} |
| 0.0127 | 1129.0 | 38386 | 3.2129 | {'f1': 0.7150610583446404} | {'accuracy': 0.5973154362416108} |
| 0.0127 | 1130.0 | 38420 | 3.2200 | {'f1': 0.7512820512820513} | {'accuracy': 0.6279961649089166} |
| 0.0127 | 1131.0 | 38454 | 3.1581 | {'f1': 0.763819095477387} | {'accuracy': 0.6395014381591563} |
| 0.0127 | 1132.0 | 38488 | 3.3195 | {'f1': 0.7560664112388251} | {'accuracy': 0.6337488015340365} |
| 0.0194 | 1133.0 | 38522 | 3.4574 | {'f1': 0.7528809218950064} | {'accuracy': 0.6299137104506232} |
| 0.0194 | 1134.0 | 38556 | 3.5399 | {'f1': 0.7530468248877487} | {'accuracy': 0.6308724832214765} |
| 0.0194 | 1135.0 | 38590 | 3.6334 | {'f1': 0.7512886597938144} | {'accuracy': 0.6299137104506232} |
| 0.0194 | 1136.0 | 38624 | 2.7278 | {'f1': 0.7822384428223845} | {'accuracy': 0.6567593480345159} |
| 0.0194 | 1137.0 | 38658 | 2.8783 | {'f1': 0.7762669962917182} | {'accuracy': 0.6529242569511026} |
| 0.0194 | 1138.0 | 38692 | 2.7280 | {'f1': 0.7803076923076924} | {'accuracy': 0.6577181208053692} |
| 0.0194 | 1139.0 | 38726 | 2.7048 | {'f1': 0.7857142857142858} | {'accuracy': 0.660594439117929} |
| 0.0194 | 1140.0 | 38760 | 2.8422 | {'f1': 0.7549584133077415} | {'accuracy': 0.6327900287631831} |
| 0.0194 | 1141.0 | 38794 | 2.9296 | {'f1': 0.7716241443683883} | {'accuracy': 0.6481303930968361} |
| 0.0194 | 1142.0 | 38828 | 3.0326 | {'f1': 0.7516005121638925} | {'accuracy': 0.6279961649089166} |
| 0.0194 | 1143.0 | 38862 | 3.0374 | {'f1': 0.7714285714285715} | {'accuracy': 0.6471716203259827} |
| 0.0194 | 1144.0 | 38896 | 3.1521 | {'f1': 0.756483238456673} | {'accuracy': 0.6308724832214765} |
| 0.0194 | 1145.0 | 38930 | 3.4522 | {'f1': 0.7220744680851063} | {'accuracy': 0.5992329817833174} |
| 0.0194 | 1146.0 | 38964 | 3.2584 | {'f1': 0.7751078250154037} | {'accuracy': 0.6500479386385427} |
| 0.0194 | 1147.0 | 38998 | 3.6405 | {'f1': 0.729551451187335} | {'accuracy': 0.6069031639501438} |
| 0.0231 | 1148.0 | 39032 | 3.1940 | {'f1': 0.7776412776412777} | {'accuracy': 0.6529242569511026} |
| 0.0231 | 1149.0 | 39066 | 3.3117 | {'f1': 0.759974667511083} | {'accuracy': 0.6366251198465963} |
| 0.0231 | 1150.0 | 39100 | 3.5411 | {'f1': 0.7464607464607464} | {'accuracy': 0.6222435282837967} |
| 0.0231 | 1151.0 | 39134 | 3.2132 | {'f1': 0.7698066126013725} | {'accuracy': 0.6462128475551294} |
| 0.0231 | 1152.0 | 39168 | 3.5755 | {'f1': 0.7402597402597403} | {'accuracy': 0.6164908916586769} |
| 0.0231 | 1153.0 | 39202 | 3.6031 | {'f1': 0.7499999999999999} | {'accuracy': 0.62607861936721} |
| 0.0231 | 1154.0 | 39236 | 3.3411 | {'f1': 0.7464607464607464} | {'accuracy': 0.6222435282837967} |
| 0.0231 | 1155.0 | 39270 | 2.8748 | {'f1': 0.7733168622606548} | {'accuracy': 0.6481303930968361} |
| 0.0231 | 1156.0 | 39304 | 3.0153 | {'f1': 0.7722772277227723} | {'accuracy': 0.6471716203259827} |
| 0.0231 | 1157.0 | 39338 | 3.1276 | {'f1': 0.7715170278637771} | {'accuracy': 0.6462128475551294} |
| 0.0231 | 1158.0 | 39372 | 3.2675 | {'f1': 0.7517639512508018} | {'accuracy': 0.6289549376797698} |
| 0.0231 | 1159.0 | 39406 | 3.3000 | {'f1': 0.7574793125397836} | {'accuracy': 0.6347075743048898} |
| 0.0231 | 1160.0 | 39440 | 3.1337 | {'f1': 0.7899159663865547} | {'accuracy': 0.6644295302013423} |
| 0.0231 | 1161.0 | 39474 | 2.2918 | {'f1': 0.7909199522102748} | {'accuracy': 0.6644295302013423} |
| 0.0121 | 1162.0 | 39508 | 2.5632 | {'f1': 0.7766153846153846} | {'accuracy': 0.6519654841802492} |
| 0.0121 | 1163.0 | 39542 | 3.0174 | {'f1': 0.7485530546623793} | {'accuracy': 0.6251198465963567} |
| 0.0121 | 1164.0 | 39576 | 2.9162 | {'f1': 0.7871046228710463} | {'accuracy': 0.6644295302013423} |
| 0.0121 | 1165.0 | 39610 | 2.5334 | {'f1': 0.7656929770043505} | {'accuracy': 0.638542665388303} |
| 0.0121 | 1166.0 | 39644 | 2.5218 | {'f1': 0.7547649301143583} | {'accuracy': 0.6299137104506232} |
| 0.0121 | 1167.0 | 39678 | 3.0790 | {'f1': 0.7173620457604307} | {'accuracy': 0.5973154362416108} |
| 0.0121 | 1168.0 | 39712 | 2.5824 | {'f1': 0.7910897049969898} | {'accuracy': 0.6673058485139022} |
| 0.0121 | 1169.0 | 39746 | 2.7111 | {'f1': 0.7577482605945604} | {'accuracy': 0.6327900287631831} |
| 0.0121 | 1170.0 | 39780 | 2.9145 | {'f1': 0.7623824451410658} | {'accuracy': 0.6366251198465963} |
| 0.0121 | 1171.0 | 39814 | 2.6618 | {'f1': 0.7697082557417754} | {'accuracy': 0.6442953020134228} |
| 0.0121 | 1172.0 | 39848 | 2.8270 | {'f1': 0.7749077490774908} | {'accuracy': 0.6490891658676894} |
| 0.0121 | 1173.0 | 39882 | 2.9944 | {'f1': 0.7741538461538461} | {'accuracy': 0.6481303930968361} |
| 0.0121 | 1174.0 | 39916 | 3.0643 | {'f1': 0.7522349936143039} | {'accuracy': 0.6279961649089166} |
| 0.0121 | 1175.0 | 39950 | 3.1882 | {'f1': 0.7531806615776081} | {'accuracy': 0.6279961649089166} |
| 0.0121 | 1176.0 | 39984 | 3.2018 | {'f1': 0.7483870967741936} | {'accuracy': 0.62607861936721} |
| 0.0141 | 1177.0 | 40018 | 2.9521 | {'f1': 0.7660636306924518} | {'accuracy': 0.6404602109300096} |
| 0.0141 | 1178.0 | 40052 | 2.7124 | {'f1': 0.7651090342679128} | {'accuracy': 0.638542665388303} |
| 0.0141 | 1179.0 | 40086 | 2.9834 | {'f1': 0.7463070006422609} | {'accuracy': 0.6212847555129435} |
| 0.0141 | 1180.0 | 40120 | 3.0993 | {'f1': 0.7574414186193794} | {'accuracy': 0.6327900287631831} |
| 0.0141 | 1181.0 | 40154 | 3.4921 | {'f1': 0.7198391420911529} | {'accuracy': 0.5992329817833174} |
| 0.0141 | 1182.0 | 40188 | 3.3310 | {'f1': 0.7560355781448539} | {'accuracy': 0.6318312559923298} |
| 0.0141 | 1183.0 | 40222 | 3.3100 | {'f1': 0.7670206121174267} | {'accuracy': 0.6423777564717162} |
| 0.0141 | 1184.0 | 40256 | 3.3768 | {'f1': 0.7670206121174267} | {'accuracy': 0.6423777564717162} |
| 0.0141 | 1185.0 | 40290 | 3.4325 | {'f1': 0.7670206121174267} | {'accuracy': 0.6423777564717162} |
| 0.0141 | 1186.0 | 40324 | 3.4873 | {'f1': 0.76625} | {'accuracy': 0.6414189837008629} |
| 0.0141 | 1187.0 | 40358 | 3.7760 | {'f1': 0.726063829787234} | {'accuracy': 0.6049856184084372} |
| 0.0141 | 1188.0 | 40392 | 3.7943 | {'f1': 0.7315789473684212} | {'accuracy': 0.6088207094918504} |
| 0.0141 | 1189.0 | 40426 | 3.5734 | {'f1': 0.7700934579439253} | {'accuracy': 0.6462128475551294} |
| 0.0141 | 1190.0 | 40460 | 3.7146 | {'f1': 0.74400518470512} | {'accuracy': 0.6212847555129435} |
| 0.0141 | 1191.0 | 40494 | 3.3590 | {'f1': 0.7689417658108956} | {'accuracy': 0.6462128475551294} |
| 0.007 | 1192.0 | 40528 | 3.6125 | {'f1': 0.7070151306740028} | {'accuracy': 0.5915627996164909} |
| 0.007 | 1193.0 | 40562 | 3.5111 | {'f1': 0.7443070917371504} | {'accuracy': 0.62320230105465} |
| 0.007 | 1194.0 | 40596 | 3.5373 | {'f1': 0.7495170637475852} | {'accuracy': 0.6270373921380633} |
| 0.007 | 1195.0 | 40630 | 3.3018 | {'f1': 0.7506361323155215} | {'accuracy': 0.6241610738255033} |
| 0.007 | 1196.0 | 40664 | 3.3697 | {'f1': 0.7512755102040816} | {'accuracy': 0.62607861936721} |
| 0.007 | 1197.0 | 40698 | 3.1646 | {'f1': 0.7792848335388408} | {'accuracy': 0.6567593480345159} |
| 0.007 | 1198.0 | 40732 | 3.6666 | {'f1': 0.7470817120622568} | {'accuracy': 0.62607861936721} |
| 0.007 | 1199.0 | 40766 | 3.5870 | {'f1': 0.766729205753596} | {'accuracy': 0.6423777564717162} |
| 0.007 | 1200.0 | 40800 | 3.6194 | {'f1': 0.7675} | {'accuracy': 0.6433365292425696} |
| 0.007 | 1201.0 | 40834 | 4.0606 | {'f1': 0.7180527383367141} | {'accuracy': 0.6001917545541706} |
| 0.007 | 1202.0 | 40868 | 3.2670 | {'f1': 0.7418086500655309} | {'accuracy': 0.6222435282837967} |
| 0.007 | 1203.0 | 40902 | 2.8138 | {'f1': 0.7559256886611148} | {'accuracy': 0.6347075743048898} |
| 0.007 | 1204.0 | 40936 | 3.2129 | {'f1': 0.7596702599873176} | {'accuracy': 0.6366251198465963} |
| 0.007 | 1205.0 | 40970 | 3.3047 | {'f1': 0.7631080227416298} | {'accuracy': 0.6404602109300096} |
| 0.0075 | 1206.0 | 41004 | 3.4400 | {'f1': 0.7312834224598931} | {'accuracy': 0.6145733461169702} |
| 0.0075 | 1207.0 | 41038 | 3.2063 | {'f1': 0.7433050293925539} | {'accuracy': 0.62320230105465} |
| 0.0075 | 1208.0 | 41072 | 3.2353 | {'f1': 0.7404479578392622} | {'accuracy': 0.6222435282837967} |
| 0.0075 | 1209.0 | 41106 | 3.0878 | {'f1': 0.7530625402965828} | {'accuracy': 0.6327900287631831} |
| 0.0075 | 1210.0 | 41140 | 3.0746 | {'f1': 0.7649301143583226} | {'accuracy': 0.6452540747842761} |
| 0.0075 | 1211.0 | 41174 | 3.1794 | {'f1': 0.7657142857142858} | {'accuracy': 0.6462128475551294} |
| 0.0075 | 1212.0 | 41208 | 3.0764 | {'f1': 0.7504885993485342} | {'accuracy': 0.6327900287631831} |
| 0.0075 | 1213.0 | 41242 | 3.1383 | {'f1': 0.7437582128777923} | {'accuracy': 0.62607861936721} |
| 0.0075 | 1214.0 | 41276 | 2.8635 | {'f1': 0.7691342534504392} | {'accuracy': 0.6471716203259827} |
| 0.0075 | 1215.0 | 41310 | 2.9845 | {'f1': 0.7702957835116424} | {'accuracy': 0.6500479386385427} |
| 0.0075 | 1216.0 | 41344 | 2.8181 | {'f1': 0.7731829573934837} | {'accuracy': 0.6529242569511026} |
| 0.0075 | 1217.0 | 41378 | 2.8097 | {'f1': 0.7617834394904459} | {'accuracy': 0.6414189837008629} |
| 0.0075 | 1218.0 | 41412 | 2.8680 | {'f1': 0.7630573248407643} | {'accuracy': 0.6433365292425696} |
| 0.0075 | 1219.0 | 41446 | 3.1605 | {'f1': 0.7425938117182357} | {'accuracy': 0.6251198465963567} |
| 0.0075 | 1220.0 | 41480 | 3.1439 | {'f1': 0.7609942638623327} | {'accuracy': 0.6404602109300096} |
| 0.0128 | 1221.0 | 41514 | 3.1843 | {'f1': 0.7658227848101267} | {'accuracy': 0.6452540747842761} |
| 0.0128 | 1222.0 | 41548 | 3.2417 | {'f1': 0.7681617182564751} | {'accuracy': 0.6481303930968361} |
| 0.0128 | 1223.0 | 41582 | 3.4335 | {'f1': 0.7490144546649145} | {'accuracy': 0.6337488015340365} |
| 0.0128 | 1224.0 | 41616 | 3.4723 | {'f1': 0.7513089005235601} | {'accuracy': 0.6356663470757431} |
| 0.0128 | 1225.0 | 41650 | 3.5093 | {'f1': 0.7529411764705882} | {'accuracy': 0.6375838926174496} |
| 0.0128 | 1226.0 | 41684 | 3.3233 | {'f1': 0.7807288449660286} | {'accuracy': 0.6596356663470757} |
| 0.0128 | 1227.0 | 41718 | 3.3107 | {'f1': 0.7740324594257179} | {'accuracy': 0.6529242569511026} |
| 0.0128 | 1228.0 | 41752 | 3.3130 | {'f1': 0.7540348612007747} | {'accuracy': 0.6347075743048898} |
| 0.0128 | 1229.0 | 41786 | 3.4236 | {'f1': 0.7600767754318618} | {'accuracy': 0.6404602109300096} |
| 0.0128 | 1230.0 | 41820 | 2.4648 | {'f1': 0.7913927077106994} | {'accuracy': 0.6653883029721956} |
| 0.0128 | 1231.0 | 41854 | 2.6180 | {'f1': 0.7666034155597723} | {'accuracy': 0.6462128475551294} |
| 0.0128 | 1232.0 | 41888 | 2.2871 | {'f1': 0.7679697351828499} | {'accuracy': 0.6471716203259827} |
| 0.0128 | 1233.0 | 41922 | 2.5965 | {'f1': 0.7686472819216181} | {'accuracy': 0.6490891658676894} |
| 0.0128 | 1234.0 | 41956 | 2.4457 | {'f1': 0.7641449459631278} | {'accuracy': 0.6442953020134228} |
| 0.0128 | 1235.0 | 41990 | 2.5908 | {'f1': 0.7436065573770493} | {'accuracy': 0.6251198465963567} |
| 0.0135 | 1236.0 | 42024 | 2.1758 | {'f1': 0.7906698564593302} | {'accuracy': 0.6644295302013423} |
| 0.0135 | 1237.0 | 42058 | 2.0213 | {'f1': 0.7801592161665647} | {'accuracy': 0.6558005752636625} |
| 0.0135 | 1238.0 | 42092 | 2.3534 | {'f1': 0.7788046826863833} | {'accuracy': 0.6558005752636625} |
| 0.0135 | 1239.0 | 42126 | 2.1911 | {'f1': 0.7818070067609096} | {'accuracy': 0.6596356663470757} |
| 0.0135 | 1240.0 | 42160 | 2.3246 | {'f1': 0.7810578105781059} | {'accuracy': 0.6586768935762224} |
| 0.0135 | 1241.0 | 42194 | 2.0835 | {'f1': 0.7807881773399015} | {'accuracy': 0.6586768935762224} |
| 0.0135 | 1242.0 | 42228 | 1.8007 | {'f1': 0.7827145465611687} | {'accuracy': 0.6577181208053692} |
| 0.0135 | 1243.0 | 42262 | 2.0117 | {'f1': 0.7785317705120297} | {'accuracy': 0.6558005752636625} |
| 0.0135 | 1244.0 | 42296 | 2.2489 | {'f1': 0.7801592161665647} | {'accuracy': 0.6558005752636625} |
| 0.0135 | 1245.0 | 42330 | 2.0676 | {'f1': 0.7775723967960566} | {'accuracy': 0.6538830297219559} |
| 0.0135 | 1246.0 | 42364 | 2.6518 | {'f1': 0.730329522528581} | {'accuracy': 0.6155321188878236} |
| 0.0135 | 1247.0 | 42398 | 2.5331 | {'f1': 0.7537168713639302} | {'accuracy': 0.6347075743048898} |
| 0.0135 | 1248.0 | 42432 | 2.3817 | {'f1': 0.7483702737940027} | {'accuracy': 0.6299137104506232} |
| 0.0135 | 1249.0 | 42466 | 2.4627 | {'f1': 0.75} | {'accuracy': 0.6318312559923298} |
| 0.035 | 1250.0 | 42500 | 2.2337 | {'f1': 0.768170426065163} | {'accuracy': 0.6452540747842761} |
| 0.035 | 1251.0 | 42534 | 2.5112 | {'f1': 0.7343957503320053} | {'accuracy': 0.6164908916586769} |
| 0.035 | 1252.0 | 42568 | 2.3838 | {'f1': 0.7568602425015953} | {'accuracy': 0.6347075743048898} |
| 0.035 | 1253.0 | 42602 | 2.4890 | {'f1': 0.7459599224305107} | {'accuracy': 0.62320230105465} |
| 0.035 | 1254.0 | 42636 | 2.3174 | {'f1': 0.7774333539987601} | {'accuracy': 0.6558005752636625} |
| 0.035 | 1255.0 | 42670 | 2.3111 | {'f1': 0.7784653465346535} | {'accuracy': 0.6567593480345159} |
| 0.035 | 1256.0 | 42704 | 2.1653 | {'f1': 0.7910628019323671} | {'accuracy': 0.6682646212847555} |
| 0.035 | 1257.0 | 42738 | 2.5226 | {'f1': 0.7358738501971092} | {'accuracy': 0.6145733461169702} |
| 0.035 | 1258.0 | 42772 | 2.4588 | {'f1': 0.7716241443683883} | {'accuracy': 0.6481303930968361} |
| 0.035 | 1259.0 | 42806 | 2.6052 | {'f1': 0.7582697201017812} | {'accuracy': 0.6356663470757431} |
| 0.035 | 1260.0 | 42840 | 2.6890 | {'f1': 0.7667087011349306} | {'accuracy': 0.6452540747842761} |
| 0.035 | 1261.0 | 42874 | 2.8934 | {'f1': 0.7360742705570292} | {'accuracy': 0.6184084372003835} |
| 0.035 | 1262.0 | 42908 | 2.8071 | {'f1': 0.7405940594059407} | {'accuracy': 0.62320230105465} |
| 0.035 | 1263.0 | 42942 | 2.8278 | {'f1': 0.749357326478149} | {'accuracy': 0.62607861936721} |
| 0.035 | 1264.0 | 42976 | 2.8449 | {'f1': 0.7029288702928871} | {'accuracy': 0.5915627996164909} |
| 0.0193 | 1265.0 | 43010 | 2.7974 | {'f1': 0.7535483870967743} | {'accuracy': 0.6337488015340365} |
| 0.0193 | 1266.0 | 43044 | 2.6313 | {'f1': 0.7449180327868853} | {'accuracy': 0.6270373921380633} |
| 0.0193 | 1267.0 | 43078 | 2.6607 | {'f1': 0.7614795918367347} | {'accuracy': 0.6414189837008629} |
| 0.0193 | 1268.0 | 43112 | 2.8264 | {'f1': 0.7465618860510805} | {'accuracy': 0.6289549376797698} |
| 0.0193 | 1269.0 | 43146 | 2.8946 | {'f1': 0.7151681537405628} | {'accuracy': 0.6021093000958773} |
| 0.0193 | 1270.0 | 43180 | 2.6679 | {'f1': 0.7300736771600804} | {'accuracy': 0.613614573346117} |
| 0.0193 | 1271.0 | 43214 | 2.6620 | {'f1': 0.7748303516347934} | {'accuracy': 0.6500479386385427} |
| 0.0193 | 1272.0 | 43248 | 2.6854 | {'f1': 0.7574793125397836} | {'accuracy': 0.6347075743048898} |
| 0.0193 | 1273.0 | 43282 | 2.6075 | {'f1': 0.7647798742138365} | {'accuracy': 0.6414189837008629} |
| 0.0193 | 1274.0 | 43316 | 2.7248 | {'f1': 0.76280834914611} | {'accuracy': 0.6404602109300096} |
| 0.0193 | 1275.0 | 43350 | 2.7978 | {'f1': 0.7535301668806161} | {'accuracy': 0.6318312559923298} |
| 0.0193 | 1276.0 | 43384 | 2.8737 | {'f1': 0.7519280205655527} | {'accuracy': 0.6299137104506232} |
| 0.0193 | 1277.0 | 43418 | 3.0365 | {'f1': 0.7439739413680782} | {'accuracy': 0.62320230105465} |
| 0.0193 | 1278.0 | 43452 | 3.0321 | {'f1': 0.7430058555627846} | {'accuracy': 0.6212847555129435} |
| 0.0193 | 1279.0 | 43486 | 2.7770 | {'f1': 0.7160326086956523} | {'accuracy': 0.5992329817833174} |
| 0.0172 | 1280.0 | 43520 | 2.8156 | {'f1': 0.7493506493506493} | {'accuracy': 0.6299137104506232} |
| 0.0172 | 1281.0 | 43554 | 2.8219 | {'f1': 0.7692307692307692} | {'accuracy': 0.6433365292425696} |
| 0.0172 | 1282.0 | 43588 | 2.5523 | {'f1': 0.7814972611077297} | {'accuracy': 0.6558005752636625} |
| 0.0172 | 1283.0 | 43622 | 2.7029 | {'f1': 0.7618445988629183} | {'accuracy': 0.638542665388303} |
| 0.0172 | 1284.0 | 43656 | 2.8892 | {'f1': 0.7470664928292047} | {'accuracy': 0.6279961649089166} |
| 0.0172 | 1285.0 | 43690 | 2.7643 | {'f1': 0.7478827361563518} | {'accuracy': 0.6289549376797698} |
| 0.0172 | 1286.0 | 43724 | 2.8503 | {'f1': 0.7496757457846953} | {'accuracy': 0.6299137104506232} |
| 0.0172 | 1287.0 | 43758 | 2.7502 | {'f1': 0.7768187422934648} | {'accuracy': 0.6529242569511026} |
| 0.0172 | 1288.0 | 43792 | 2.8449 | {'f1': 0.7668133249528599} | {'accuracy': 0.6442953020134228} |
| 0.0172 | 1289.0 | 43826 | 2.6871 | {'f1': 0.7748756218905473} | {'accuracy': 0.6529242569511026} |
| 0.0172 | 1290.0 | 43860 | 2.6899 | {'f1': 0.7633587786259541} | {'accuracy': 0.6433365292425696} |
| 0.0172 | 1291.0 | 43894 | 2.6897 | {'f1': 0.7591522157996146} | {'accuracy': 0.6404602109300096} |
| 0.0172 | 1292.0 | 43928 | 2.7213 | {'f1': 0.7544757033248082} | {'accuracy': 0.6318312559923298} |
| 0.0172 | 1293.0 | 43962 | 2.8133 | {'f1': 0.7549584133077415} | {'accuracy': 0.6327900287631831} |
| 0.0172 | 1294.0 | 43996 | 2.8558 | {'f1': 0.76280834914611} | {'accuracy': 0.6404602109300096} |
| 0.0123 | 1295.0 | 44030 | 3.0365 | {'f1': 0.7456083279115159} | {'accuracy': 0.6251198465963567} |
| 0.0123 | 1296.0 | 44064 | 3.1447 | {'f1': 0.7400130975769483} | {'accuracy': 0.6193672099712368} |
| 0.0123 | 1297.0 | 44098 | 3.1986 | {'f1': 0.7400130975769483} | {'accuracy': 0.6193672099712368} |
| 0.0123 | 1298.0 | 44132 | 3.2399 | {'f1': 0.7424836601307189} | {'accuracy': 0.6222435282837967} |
| 0.0123 | 1299.0 | 44166 | 3.2914 | {'f1': 0.7433050293925539} | {'accuracy': 0.62320230105465} |
| 0.0123 | 1300.0 | 44200 | 3.2318 | {'f1': 0.7673981191222571} | {'accuracy': 0.6442953020134228} |
| 0.0123 | 1301.0 | 44234 | 3.1312 | {'f1': 0.7735495945102931} | {'accuracy': 0.6519654841802492} |
| 0.0123 | 1302.0 | 44268 | 3.6180 | {'f1': 0.7192386131883072} | {'accuracy': 0.6040268456375839} |
| 0.0123 | 1303.0 | 44302 | 3.1954 | {'f1': 0.7271514342895262} | {'accuracy': 0.6078619367209971} |
| 0.0123 | 1304.0 | 44336 | 3.2072 | {'f1': 0.7405475880052151} | {'accuracy': 0.6184084372003835} |
| 0.0123 | 1305.0 | 44370 | 3.3295 | {'f1': 0.7182620502376105} | {'accuracy': 0.6021093000958773} |
| 0.0123 | 1306.0 | 44404 | 3.0645 | {'f1': 0.7557544757033248} | {'accuracy': 0.6337488015340365} |
| 0.0123 | 1307.0 | 44438 | 2.7460 | {'f1': 0.7478937135450421} | {'accuracy': 0.6270373921380633} |
| 0.0123 | 1308.0 | 44472 | 2.8709 | {'f1': 0.7615433270082227} | {'accuracy': 0.638542665388303} |
| 0.0058 | 1309.0 | 44506 | 2.9148 | {'f1': 0.7548138639281129} | {'accuracy': 0.6337488015340365} |
| 0.0058 | 1310.0 | 44540 | 2.9194 | {'f1': 0.78069639584606} | {'accuracy': 0.6558005752636625} |
| 0.0058 | 1311.0 | 44574 | 3.0764 | {'f1': 0.7646687697160882} | {'accuracy': 0.6423777564717162} |
| 0.0058 | 1312.0 | 44608 | 3.0377 | {'f1': 0.7353723404255319} | {'accuracy': 0.6184084372003835} |
| 0.0058 | 1313.0 | 44642 | 3.0427 | {'f1': 0.7345309381237525} | {'accuracy': 0.6174496644295302} |
| 0.0058 | 1314.0 | 44676 | 3.0108 | {'f1': 0.759974667511083} | {'accuracy': 0.6366251198465963} |
| 0.0058 | 1315.0 | 44710 | 3.0900 | {'f1': 0.7626262626262627} | {'accuracy': 0.6395014381591563} |
| 0.0058 | 1316.0 | 44744 | 3.1743 | {'f1': 0.7579617834394904} | {'accuracy': 0.6356663470757431} |
| 0.0058 | 1317.0 | 44778 | 3.2571 | {'f1': 0.7480620155038761} | {'accuracy': 0.62607861936721} |
| 0.0058 | 1318.0 | 44812 | 3.2074 | {'f1': 0.7600254614894972} | {'accuracy': 0.638542665388303} |
| 0.0058 | 1319.0 | 44846 | 3.2919 | {'f1': 0.7536788227767114} | {'accuracy': 0.6308724832214765} |
| 0.0058 | 1320.0 | 44880 | 3.2827 | {'f1': 0.7696170747018205} | {'accuracy': 0.6481303930968361} |
| 0.0058 | 1321.0 | 44914 | 3.2951 | {'f1': 0.7704815509693558} | {'accuracy': 0.6481303930968361} |
| 0.0058 | 1322.0 | 44948 | 3.3115 | {'f1': 0.7709637046307886} | {'accuracy': 0.6490891658676894} |
| 0.0058 | 1323.0 | 44982 | 3.3477 | {'f1': 0.7704815509693558} | {'accuracy': 0.6481303930968361} |
| 0.0036 | 1324.0 | 45016 | 3.3709 | {'f1': 0.7733499377334995} | {'accuracy': 0.6510067114093959} |
| 0.0036 | 1325.0 | 45050 | 3.7791 | {'f1': 0.7188132164531356} | {'accuracy': 0.6001917545541706} |
| 0.0036 | 1326.0 | 45084 | 3.4615 | {'f1': 0.7638888888888887} | {'accuracy': 0.6414189837008629} |
| 0.0036 | 1327.0 | 45118 | 3.7246 | {'f1': 0.7260549229738782} | {'accuracy': 0.6078619367209971} |
| 0.0036 | 1328.0 | 45152 | 3.7495 | {'f1': 0.7320605661619486} | {'accuracy': 0.6097794822627037} |
| 0.0036 | 1329.0 | 45186 | 3.5588 | {'f1': 0.7695167286245354} | {'accuracy': 0.6433365292425696} |
| 0.0036 | 1330.0 | 45220 | 3.6154 | {'f1': 0.7449967721110394} | {'accuracy': 0.6212847555129435} |
| 0.0036 | 1331.0 | 45254 | 3.6436 | {'f1': 0.742561448900388} | {'accuracy': 0.6184084372003835} |
| 0.0036 | 1332.0 | 45288 | 3.6701 | {'f1': 0.742561448900388} | {'accuracy': 0.6184084372003835} |
| 0.0036 | 1333.0 | 45322 | 3.6933 | {'f1': 0.742561448900388} | {'accuracy': 0.6184084372003835} |
| 0.0036 | 1334.0 | 45356 | 3.3792 | {'f1': 0.7761377613776137} | {'accuracy': 0.6510067114093959} |
| 0.0036 | 1335.0 | 45390 | 3.4882 | {'f1': 0.778119237861094} | {'accuracy': 0.6538830297219559} |
| 0.0036 | 1336.0 | 45424 | 3.6574 | {'f1': 0.7585335018963337} | {'accuracy': 0.6337488015340365} |
| 0.0036 | 1337.0 | 45458 | 3.4033 | {'f1': 0.7701863354037266} | {'accuracy': 0.6452540747842761} |
| 0.0036 | 1338.0 | 45492 | 3.4740 | {'f1': 0.7648159700561447} | {'accuracy': 0.638542665388303} |
| 0.0075 | 1339.0 | 45526 | 3.0532 | {'f1': 0.7525641025641027} | {'accuracy': 0.6299137104506232} |
| 0.0075 | 1340.0 | 45560 | 3.2193 | {'f1': 0.7551020408163267} | {'accuracy': 0.6318312559923298} |
| 0.0075 | 1341.0 | 45594 | 3.4884 | {'f1': 0.7258172114743163} | {'accuracy': 0.6059443911792906} |
| 0.0075 | 1342.0 | 45628 | 3.4765 | {'f1': 0.749357326478149} | {'accuracy': 0.62607861936721} |
| 0.0075 | 1343.0 | 45662 | 3.3718 | {'f1': 0.7712337259764414} | {'accuracy': 0.6462128475551294} |
| 0.0075 | 1344.0 | 45696 | 3.5305 | {'f1': 0.7576142131979695} | {'accuracy': 0.6337488015340365} |
| 0.0075 | 1345.0 | 45730 | 3.5883 | {'f1': 0.7594936708860759} | {'accuracy': 0.6356663470757431} |
| 0.0075 | 1346.0 | 45764 | 3.5093 | {'f1': 0.7746305418719213} | {'accuracy': 0.6490891658676894} |
| 0.0075 | 1347.0 | 45798 | 3.6125 | {'f1': 0.7647058823529411} | {'accuracy': 0.6395014381591563} |
| 0.0075 | 1348.0 | 45832 | 3.6587 | {'f1': 0.7620841180163214} | {'accuracy': 0.6366251198465963} |
| 0.0075 | 1349.0 | 45866 | 3.6864 | {'f1': 0.7613065326633165} | {'accuracy': 0.6356663470757431} |
| 0.0075 | 1350.0 | 45900 | 3.7250 | {'f1': 0.7607052896725441} | {'accuracy': 0.6356663470757431} |
| 0.0075 | 1351.0 | 45934 | 3.7487 | {'f1': 0.7607052896725441} | {'accuracy': 0.6356663470757431} |
| 0.0075 | 1352.0 | 45968 | 3.7722 | {'f1': 0.7607052896725441} | {'accuracy': 0.6356663470757431} |
| 0.0018 | 1353.0 | 46002 | 3.7933 | {'f1': 0.7607052896725441} | {'accuracy': 0.6356663470757431} |
| 0.0018 | 1354.0 | 46036 | 3.8149 | {'f1': 0.7607052896725441} | {'accuracy': 0.6356663470757431} |
| 0.0018 | 1355.0 | 46070 | 3.8357 | {'f1': 0.7607052896725441} | {'accuracy': 0.6356663470757431} |
| 0.0018 | 1356.0 | 46104 | 4.0046 | {'f1': 0.7261744966442953} | {'accuracy': 0.6088207094918504} |
| 0.0018 | 1357.0 | 46138 | 3.9125 | {'f1': 0.7356624917600526} | {'accuracy': 0.6155321188878236} |
| 0.0018 | 1358.0 | 46172 | 3.9176 | {'f1': 0.7376725838264301} | {'accuracy': 0.6174496644295302} |
| 0.0018 | 1359.0 | 46206 | 3.9499 | {'f1': 0.7376725838264301} | {'accuracy': 0.6174496644295302} |
| 0.0018 | 1360.0 | 46240 | 3.6228 | {'f1': 0.7652933832709113} | {'accuracy': 0.6395014381591563} |
| 0.0018 | 1361.0 | 46274 | 3.4484 | {'f1': 0.7745521927115503} | {'accuracy': 0.6500479386385427} |
| 0.0018 | 1362.0 | 46308 | 3.5878 | {'f1': 0.7557544757033248} | {'accuracy': 0.6337488015340365} |
| 0.0018 | 1363.0 | 46342 | 3.5620 | {'f1': 0.7688442211055276} | {'accuracy': 0.6471716203259827} |
| 0.0018 | 1364.0 | 46376 | 3.5952 | {'f1': 0.7689417658108956} | {'accuracy': 0.6462128475551294} |
| 0.0018 | 1365.0 | 46410 | 3.7652 | {'f1': 0.7514450867052023} | {'accuracy': 0.6289549376797698} |
| 0.0018 | 1366.0 | 46444 | 3.8198 | {'f1': 0.7528809218950064} | {'accuracy': 0.6299137104506232} |
| 0.0018 | 1367.0 | 46478 | 2.8867 | {'f1': 0.7611181702668361} | {'accuracy': 0.6395014381591563} |
| 0.0069 | 1368.0 | 46512 | 3.0464 | {'f1': 0.7648546144121365} | {'accuracy': 0.6433365292425696} |
| 0.0069 | 1369.0 | 46546 | 3.1224 | {'f1': 0.7680703959773727} | {'accuracy': 0.6462128475551294} |
| 0.0069 | 1370.0 | 46580 | 3.2843 | {'f1': 0.755612572161642} | {'accuracy': 0.6347075743048898} |
| 0.0069 | 1371.0 | 46614 | 3.2492 | {'f1': 0.7681789931634555} | {'accuracy': 0.6423777564717162} |
| 0.0069 | 1372.0 | 46648 | 3.3134 | {'f1': 0.7669172932330827} | {'accuracy': 0.6433365292425696} |
| 0.0069 | 1373.0 | 46682 | 3.3714 | {'f1': 0.7480620155038761} | {'accuracy': 0.62607861936721} |
| 0.0069 | 1374.0 | 46716 | 3.3207 | {'f1': 0.7737948084054388} | {'accuracy': 0.6490891658676894} |
| 0.0069 | 1375.0 | 46750 | 3.3698 | {'f1': 0.7711442786069651} | {'accuracy': 0.6471716203259827} |
| 0.0069 | 1376.0 | 46784 | 3.0930 | {'f1': 0.7519280205655527} | {'accuracy': 0.6299137104506232} |
| 0.0069 | 1377.0 | 46818 | 3.4375 | {'f1': 0.7289719626168224} | {'accuracy': 0.610738255033557} |
| 0.0069 | 1378.0 | 46852 | 3.1735 | {'f1': 0.772104607721046} | {'accuracy': 0.6490891658676894} |
| 0.0069 | 1379.0 | 46886 | 3.2524 | {'f1': 0.770949720670391} | {'accuracy': 0.6462128475551294} |
| 0.0069 | 1380.0 | 46920 | 3.3112 | {'f1': 0.7704714640198512} | {'accuracy': 0.6452540747842761} |
| 0.0069 | 1381.0 | 46954 | 3.3603 | {'f1': 0.7704714640198512} | {'accuracy': 0.6452540747842761} |
| 0.0069 | 1382.0 | 46988 | 3.3962 | {'f1': 0.7723880597014924} | {'accuracy': 0.6490891658676894} |
| 0.0043 | 1383.0 | 47022 | 3.4355 | {'f1': 0.7723880597014924} | {'accuracy': 0.6490891658676894} |
| 0.0043 | 1384.0 | 47056 | 3.6259 | {'f1': 0.7389875082182775} | {'accuracy': 0.6193672099712368} |
| 0.0043 | 1385.0 | 47090 | 3.4024 | {'f1': 0.7689440993788821} | {'accuracy': 0.6433365292425696} |
| 0.0043 | 1386.0 | 47124 | 3.4427 | {'f1': 0.7697082557417754} | {'accuracy': 0.6442953020134228} |
| 0.0043 | 1387.0 | 47158 | 3.4609 | {'f1': 0.7634749524413443} | {'accuracy': 0.6423777564717162} |
| 0.0043 | 1388.0 | 47192 | 3.6020 | {'f1': 0.7434895833333333} | {'accuracy': 0.6222435282837967} |
| 0.0043 | 1389.0 | 47226 | 3.5073 | {'f1': 0.7616020343293072} | {'accuracy': 0.6404602109300096} |
| 0.0043 | 1390.0 | 47260 | 3.4757 | {'f1': 0.7724736515809051} | {'accuracy': 0.6481303930968361} |
| 0.0043 | 1391.0 | 47294 | 3.5197 | {'f1': 0.7726708074534162} | {'accuracy': 0.6490891658676894} |
| 0.0043 | 1392.0 | 47328 | 3.5570 | {'f1': 0.7719080174021131} | {'accuracy': 0.6481303930968361} |
| 0.0043 | 1393.0 | 47362 | 2.9746 | {'f1': 0.7693266832917706} | {'accuracy': 0.6452540747842761} |
| 0.0043 | 1394.0 | 47396 | 3.0565 | {'f1': 0.7669172932330827} | {'accuracy': 0.6433365292425696} |
| 0.0043 | 1395.0 | 47430 | 3.2641 | {'f1': 0.7496774193548387} | {'accuracy': 0.6279961649089166} |
| 0.0043 | 1396.0 | 47464 | 3.2319 | {'f1': 0.7654784240150093} | {'accuracy': 0.6404602109300096} |
| 0.0043 | 1397.0 | 47498 | 3.3054 | {'f1': 0.7647058823529411} | {'accuracy': 0.6395014381591563} |
| 0.0057 | 1398.0 | 47532 | 3.4740 | {'f1': 0.753015873015873} | {'accuracy': 0.6270373921380633} |
| 0.0057 | 1399.0 | 47566 | 3.6016 | {'f1': 0.7436399217221136} | {'accuracy': 0.62320230105465} |
| 0.0057 | 1400.0 | 47600 | 3.6997 | {'f1': 0.7372549019607842} | {'accuracy': 0.6145733461169702} |
| 0.0057 | 1401.0 | 47634 | 3.5242 | {'f1': 0.7533460803059273} | {'accuracy': 0.6289549376797698} |
| 0.0057 | 1402.0 | 47668 | 3.3049 | {'f1': 0.7775746496039001} | {'accuracy': 0.6500479386385427} |
| 0.0057 | 1403.0 | 47702 | 3.4798 | {'f1': 0.7537878787878789} | {'accuracy': 0.62607861936721} |
| 0.0057 | 1404.0 | 47736 | 3.4908 | {'f1': 0.7619047619047619} | {'accuracy': 0.6356663470757431} |
| 0.0057 | 1405.0 | 47770 | 2.9441 | {'f1': 0.7722529158993248} | {'accuracy': 0.6442953020134228} |
| 0.0057 | 1406.0 | 47804 | 3.1655 | {'f1': 0.7719729563614013} | {'accuracy': 0.6442953020134228} |
| 0.0057 | 1407.0 | 47838 | 3.1089 | {'f1': 0.7681789931634555} | {'accuracy': 0.6423777564717162} |
| 0.0057 | 1408.0 | 47872 | 3.2898 | {'f1': 0.7684667908131595} | {'accuracy': 0.6423777564717162} |
| 0.0057 | 1409.0 | 47906 | 3.4077 | {'f1': 0.7677018633540372} | {'accuracy': 0.6414189837008629} |
| 0.0057 | 1410.0 | 47940 | 3.4799 | {'f1': 0.7669359850839029} | {'accuracy': 0.6404602109300096} |
| 0.0057 | 1411.0 | 47974 | 3.4300 | {'f1': 0.7815533980582525} | {'accuracy': 0.6548418024928092} |
| 0.0082 | 1412.0 | 48008 | 3.4573 | {'f1': 0.7842900302114804} | {'accuracy': 0.6577181208053692} |
| 0.0082 | 1413.0 | 48042 | 2.9054 | {'f1': 0.763681592039801} | {'accuracy': 0.6356663470757431} |
| 0.0082 | 1414.0 | 48076 | 3.1856 | {'f1': 0.7589679043423537} | {'accuracy': 0.6327900287631831} |
| 0.0082 | 1415.0 | 48110 | 3.2829 | {'f1': 0.7589679043423537} | {'accuracy': 0.6327900287631831} |
| 0.0082 | 1416.0 | 48144 | 3.3540 | {'f1': 0.7589679043423537} | {'accuracy': 0.6327900287631831} |
| 0.0082 | 1417.0 | 48178 | 3.0411 | {'f1': 0.7685643564356436} | {'accuracy': 0.6414189837008629} |
| 0.0082 | 1418.0 | 48212 | 2.9540 | {'f1': 0.7661691542288558} | {'accuracy': 0.6395014381591563} |
| 0.0082 | 1419.0 | 48246 | 2.9893 | {'f1': 0.7564505978602896} | {'accuracy': 0.6289549376797698} |
| 0.0082 | 1420.0 | 48280 | 3.0807 | {'f1': 0.7632729544034977} | {'accuracy': 0.6366251198465963} |
| 0.0082 | 1421.0 | 48314 | 2.8429 | {'f1': 0.7851491174680463} | {'accuracy': 0.6615532118887824} |
| 0.0082 | 1422.0 | 48348 | 3.1309 | {'f1': 0.7600502512562815} | {'accuracy': 0.6337488015340365} |
| 0.0082 | 1423.0 | 48382 | 3.2483 | {'f1': 0.7605279698302955} | {'accuracy': 0.6347075743048898} |
| 0.0082 | 1424.0 | 48416 | 3.3036 | {'f1': 0.7605279698302955} | {'accuracy': 0.6347075743048898} |
| 0.0082 | 1425.0 | 48450 | 3.3621 | {'f1': 0.7589679043423537} | {'accuracy': 0.6327900287631831} |
| 0.0082 | 1426.0 | 48484 | 3.4070 | {'f1': 0.7594458438287154} | {'accuracy': 0.6337488015340365} |
| 0.0073 | 1427.0 | 48518 | 3.4997 | {'f1': 0.7427090084251459} | {'accuracy': 0.6193672099712368} |
| 0.0073 | 1428.0 | 48552 | 3.5861 | {'f1': 0.7315789473684212} | {'accuracy': 0.6088207094918504} |
| 0.0073 | 1429.0 | 48586 | 3.5632 | {'f1': 0.7441860465116279} | {'accuracy': 0.6203259827420902} |
| 0.0073 | 1430.0 | 48620 | 3.5890 | {'f1': 0.744516129032258} | {'accuracy': 0.6203259827420902} |
| 0.0073 | 1431.0 | 48654 | 3.6156 | {'f1': 0.745325596389426} | {'accuracy': 0.6212847555129435} |
| 0.0073 | 1432.0 | 48688 | 3.6471 | {'f1': 0.7466324567030147} | {'accuracy': 0.6212847555129435} |
| 0.0073 | 1433.0 | 48722 | 3.6496 | {'f1': 0.7577482605945604} | {'accuracy': 0.6327900287631831} |
| 0.0073 | 1434.0 | 48756 | 3.7989 | {'f1': 0.7371836469824788} | {'accuracy': 0.6116970278044104} |
| 0.0073 | 1435.0 | 48790 | 3.7771 | {'f1': 0.7531806615776081} | {'accuracy': 0.6279961649089166} |
| 0.0073 | 1436.0 | 48824 | 3.6796 | {'f1': 0.7669359850839029} | {'accuracy': 0.6404602109300096} |
| 0.0073 | 1437.0 | 48858 | 3.6959 | {'f1': 0.7677018633540372} | {'accuracy': 0.6414189837008629} |
| 0.0073 | 1438.0 | 48892 | 3.7324 | {'f1': 0.7661691542288558} | {'accuracy': 0.6395014381591563} |
| 0.0073 | 1439.0 | 48926 | 3.7583 | {'f1': 0.7661691542288558} | {'accuracy': 0.6395014381591563} |
| 0.0073 | 1440.0 | 48960 | 3.4722 | {'f1': 0.7932692307692308} | {'accuracy': 0.6701821668264621} |
| 0.0073 | 1441.0 | 48994 | 3.0940 | {'f1': 0.7796817625458997} | {'accuracy': 0.6548418024928092} |
| 0.0039 | 1442.0 | 49028 | 3.2434 | {'f1': 0.7509578544061303} | {'accuracy': 0.62607861936721} |
| 0.0039 | 1443.0 | 49062 | 3.0434 | {'f1': 0.7482383087764254} | {'accuracy': 0.62320230105465} |
| 0.0039 | 1444.0 | 49096 | 3.1950 | {'f1': 0.746615087040619} | {'accuracy': 0.62320230105465} |
| 0.0039 | 1445.0 | 49130 | 3.0658 | {'f1': 0.7385019710906702} | {'accuracy': 0.6184084372003835} |
| 0.0039 | 1446.0 | 49164 | 3.1805 | {'f1': 0.7655562539283469} | {'accuracy': 0.6423777564717162} |
| 0.0039 | 1447.0 | 49198 | 3.2558 | {'f1': 0.7660377358490567} | {'accuracy': 0.6433365292425696} |
| 0.0039 | 1448.0 | 49232 | 3.3399 | {'f1': 0.722036168787676} | {'accuracy': 0.6021093000958773} |
| 0.0039 | 1449.0 | 49266 | 2.8893 | {'f1': 0.7283621837549933} | {'accuracy': 0.6088207094918504} |
| 0.0039 | 1450.0 | 49300 | 2.8286 | {'f1': 0.7519181585677749} | {'accuracy': 0.6279961649089166} |
| 0.0039 | 1451.0 | 49334 | 2.9886 | {'f1': 0.7671232876712328} | {'accuracy': 0.6414189837008629} |
| 0.0039 | 1452.0 | 49368 | 3.0879 | {'f1': 0.7743526510480888} | {'accuracy': 0.6490891658676894} |
| 0.0039 | 1453.0 | 49402 | 3.2392 | {'f1': 0.742561448900388} | {'accuracy': 0.6184084372003835} |
| 0.0039 | 1454.0 | 49436 | 3.3527 | {'f1': 0.7263017356475301} | {'accuracy': 0.6069031639501438} |
| 0.0039 | 1455.0 | 49470 | 3.0399 | {'f1': 0.7575757575757576} | {'accuracy': 0.6318312559923298} |
| 0.0136 | 1456.0 | 49504 | 2.9785 | {'f1': 0.7689440993788821} | {'accuracy': 0.6433365292425696} |
| 0.0136 | 1457.0 | 49538 | 3.0590 | {'f1': 0.7449967721110394} | {'accuracy': 0.6212847555129435} |
| 0.0136 | 1458.0 | 49572 | 3.2933 | {'f1': 0.7346405228758169} | {'accuracy': 0.610738255033557} |
| 0.0136 | 1459.0 | 49606 | 3.0753 | {'f1': 0.7326732673267328} | {'accuracy': 0.6116970278044104} |
| 0.0136 | 1460.0 | 49640 | 3.1748 | {'f1': 0.7338603425559947} | {'accuracy': 0.6126558005752637} |
| 0.0136 | 1461.0 | 49674 | 3.0650 | {'f1': 0.7332457293035479} | {'accuracy': 0.610738255033557} |
| 0.0136 | 1462.0 | 49708 | 3.1179 | {'f1': 0.7611846250787649} | {'accuracy': 0.6366251198465963} |
| 0.0136 | 1463.0 | 49742 | 3.1942 | {'f1': 0.7617850408548082} | {'accuracy': 0.6366251198465963} |
| 0.0136 | 1464.0 | 49776 | 3.2598 | {'f1': 0.7611846250787649} | {'accuracy': 0.6366251198465963} |
| 0.0136 | 1465.0 | 49810 | 3.3032 | {'f1': 0.7624448645242595} | {'accuracy': 0.638542665388303} |
| 0.0136 | 1466.0 | 49844 | 3.3924 | {'f1': 0.7520713830465264} | {'accuracy': 0.6270373921380633} |
| 0.0136 | 1467.0 | 49878 | 3.3364 | {'f1': 0.7661442006269592} | {'accuracy': 0.6423777564717162} |
| 0.0136 | 1468.0 | 49912 | 3.2845 | {'f1': 0.7725587144622991} | {'accuracy': 0.6471716203259827} |
| 0.0136 | 1469.0 | 49946 | 3.3055 | {'f1': 0.7733168622606548} | {'accuracy': 0.6481303930968361} |
| 0.0136 | 1470.0 | 49980 | 3.3756 | {'f1': 0.7629255989911727} | {'accuracy': 0.6395014381591563} |
| 0.0053 | 1471.0 | 50014 | 3.4611 | {'f1': 0.7520819987187701} | {'accuracy': 0.6289549376797698} |
| 0.0053 | 1472.0 | 50048 | 3.4933 | {'f1': 0.7512820512820513} | {'accuracy': 0.6279961649089166} |
| 0.0053 | 1473.0 | 50082 | 3.5197 | {'f1': 0.7512820512820513} | {'accuracy': 0.6279961649089166} |
| 0.0053 | 1474.0 | 50116 | 3.5476 | {'f1': 0.7569974554707379} | {'accuracy': 0.6337488015340365} |
| 0.0053 | 1475.0 | 50150 | 3.5483 | {'f1': 0.7593650793650795} | {'accuracy': 0.6366251198465963} |
| 0.0053 | 1476.0 | 50184 | 3.5712 | {'f1': 0.7593650793650795} | {'accuracy': 0.6366251198465963} |
| 0.0053 | 1477.0 | 50218 | 3.5925 | {'f1': 0.7588832487309646} | {'accuracy': 0.6356663470757431} |
| 0.0053 | 1478.0 | 50252 | 3.6118 | {'f1': 0.7596702599873176} | {'accuracy': 0.6366251198465963} |
| 0.0053 | 1479.0 | 50286 | 3.6913 | {'f1': 0.7535121328224776} | {'accuracy': 0.6299137104506232} |
| 0.0053 | 1480.0 | 50320 | 3.6203 | {'f1': 0.7699004975124378} | {'accuracy': 0.6452540747842761} |
| 0.0053 | 1481.0 | 50354 | 3.6427 | {'f1': 0.7714285714285715} | {'accuracy': 0.6471716203259827} |
| 0.0053 | 1482.0 | 50388 | 3.6615 | {'f1': 0.7714285714285715} | {'accuracy': 0.6471716203259827} |
| 0.0053 | 1483.0 | 50422 | 2.9799 | {'f1': 0.7433398310591293} | {'accuracy': 0.6212847555129435} |
| 0.0053 | 1484.0 | 50456 | 3.0161 | {'f1': 0.738562091503268} | {'accuracy': 0.6164908916586769} |
| 0.0053 | 1485.0 | 50490 | 3.0048 | {'f1': 0.7654476670870113} | {'accuracy': 0.6433365292425696} |
| 0.0035 | 1486.0 | 50524 | 3.0608 | {'f1': 0.7317397078353254} | {'accuracy': 0.6126558005752637} |
| 0.0035 | 1487.0 | 50558 | 3.1529 | {'f1': 0.7557544757033248} | {'accuracy': 0.6337488015340365} |
| 0.0035 | 1488.0 | 50592 | 3.1638 | {'f1': 0.7645951035781543} | {'accuracy': 0.6404602109300096} |
| 0.0035 | 1489.0 | 50626 | 3.2747 | {'f1': 0.7562062380649268} | {'accuracy': 0.6327900287631831} |
| 0.0035 | 1490.0 | 50660 | 3.3065 | {'f1': 0.7555555555555555} | {'accuracy': 0.6308724832214765} |
| 0.0035 | 1491.0 | 50694 | 3.3442 | {'f1': 0.7555555555555555} | {'accuracy': 0.6308724832214765} |
| 0.0035 | 1492.0 | 50728 | 3.3815 | {'f1': 0.7555555555555555} | {'accuracy': 0.6308724832214765} |
| 0.0035 | 1493.0 | 50762 | 3.4099 | {'f1': 0.7566539923954372} | {'accuracy': 0.6318312559923298} |
| 0.0035 | 1494.0 | 50796 | 3.3824 | {'f1': 0.7614852108244179} | {'accuracy': 0.6366251198465963} |
| 0.0035 | 1495.0 | 50830 | 3.2660 | {'f1': 0.7706650093225607} | {'accuracy': 0.6462128475551294} |
| 0.0035 | 1496.0 | 50864 | 3.3044 | {'f1': 0.7706650093225607} | {'accuracy': 0.6462128475551294} |
| 0.0035 | 1497.0 | 50898 | 3.3404 | {'f1': 0.7706650093225607} | {'accuracy': 0.6462128475551294} |
| 0.0035 | 1498.0 | 50932 | 3.0127 | {'f1': 0.7688473520249222} | {'accuracy': 0.6442953020134228} |
| 0.0035 | 1499.0 | 50966 | 3.2918 | {'f1': 0.7380796864794251} | {'accuracy': 0.6155321188878236} |
| 0.0037 | 1500.0 | 51000 | 3.4003 | {'f1': 0.7435567010309277} | {'accuracy': 0.6184084372003835} |
| 0.0037 | 1501.0 | 51034 | 3.2729 | {'f1': 0.7735965453423813} | {'accuracy': 0.6481303930968361} |
| 0.0037 | 1502.0 | 51068 | 3.3953 | {'f1': 0.7576142131979695} | {'accuracy': 0.6337488015340365} |
| 0.0037 | 1503.0 | 51102 | 3.4524 | {'f1': 0.7525510204081631} | {'accuracy': 0.6279961649089166} |
| 0.0037 | 1504.0 | 51136 | 3.4516 | {'f1': 0.7644836272040302} | {'accuracy': 0.6414189837008629} |
| 0.0037 | 1505.0 | 51170 | 3.4680 | {'f1': 0.766624843161857} | {'accuracy': 0.6433365292425696} |
| 0.0037 | 1506.0 | 51204 | 3.4365 | {'f1': 0.7408376963350786} | {'accuracy': 0.6203259827420902} |
| 0.0037 | 1507.0 | 51238 | 3.3300 | {'f1': 0.732977303070761} | {'accuracy': 0.6164908916586769} |
| 0.0037 | 1508.0 | 51272 | 3.0709 | {'f1': 0.7395833333333333} | {'accuracy': 0.6164908916586769} |
| 0.0037 | 1509.0 | 51306 | 2.9596 | {'f1': 0.742561448900388} | {'accuracy': 0.6184084372003835} |
| 0.0037 | 1510.0 | 51340 | 3.0029 | {'f1': 0.7512755102040816} | {'accuracy': 0.62607861936721} |
| 0.0037 | 1511.0 | 51374 | 3.0851 | {'f1': 0.7586641461877756} | {'accuracy': 0.6327900287631831} |
| 0.0037 | 1512.0 | 51408 | 3.1637 | {'f1': 0.7586641461877756} | {'accuracy': 0.6327900287631831} |
| 0.0037 | 1513.0 | 51442 | 3.1799 | {'f1': 0.7683755404570722} | {'accuracy': 0.6404602109300096} |
| 0.0037 | 1514.0 | 51476 | 2.4534 | {'f1': 0.768277571251549} | {'accuracy': 0.6414189837008629} |
| 0.0094 | 1515.0 | 51510 | 2.9883 | {'f1': 0.7299465240641712} | {'accuracy': 0.6126558005752637} |
| 0.0094 | 1516.0 | 51544 | 3.0625 | {'f1': 0.7409326424870467} | {'accuracy': 0.6164908916586769} |
| 0.0094 | 1517.0 | 51578 | 3.0871 | {'f1': 0.7492022973835354} | {'accuracy': 0.62320230105465} |
| 0.0094 | 1518.0 | 51612 | 3.1699 | {'f1': 0.75} | {'accuracy': 0.6241610738255033} |
| 0.0094 | 1519.0 | 51646 | 3.3607 | {'f1': 0.7300736771600804} | {'accuracy': 0.613614573346117} |
| 0.0094 | 1520.0 | 51680 | 3.0515 | {'f1': 0.7456758488148623} | {'accuracy': 0.6193672099712368} |
| 0.0094 | 1521.0 | 51714 | 3.1050 | {'f1': 0.7552447552447553} | {'accuracy': 0.6308724832214765} |
| 0.0094 | 1522.0 | 51748 | 3.1750 | {'f1': 0.7552447552447553} | {'accuracy': 0.6308724832214765} |
| 0.0094 | 1523.0 | 51782 | 3.3026 | {'f1': 0.7380025940337225} | {'accuracy': 0.6126558005752637} |
| 0.0094 | 1524.0 | 51816 | 3.1826 | {'f1': 0.748395378690629} | {'accuracy': 0.6241610738255033} |
| 0.0094 | 1525.0 | 51850 | 3.2082 | {'f1': 0.7415584415584416} | {'accuracy': 0.6184084372003835} |
| 0.0094 | 1526.0 | 51884 | 2.8143 | {'f1': 0.7631578947368421} | {'accuracy': 0.6375838926174496} |
| 0.0094 | 1527.0 | 51918 | 2.7822 | {'f1': 0.767601246105919} | {'accuracy': 0.6423777564717162} |
| 0.0094 | 1528.0 | 51952 | 2.8557 | {'f1': 0.767601246105919} | {'accuracy': 0.6423777564717162} |
| 0.0094 | 1529.0 | 51986 | 2.9509 | {'f1': 0.7584020291693089} | {'accuracy': 0.6347075743048898} |
| 0.0064 | 1530.0 | 52020 | 3.0072 | {'f1': 0.7543296985246953} | {'accuracy': 0.6327900287631831} |
| 0.0064 | 1531.0 | 52054 | 3.0602 | {'f1': 0.7543296985246953} | {'accuracy': 0.6327900287631831} |
| 0.0064 | 1532.0 | 52088 | 3.1343 | {'f1': 0.728744939271255} | {'accuracy': 0.6145733461169702} |
| 0.0064 | 1533.0 | 52122 | 3.2096 | {'f1': 0.7490247074122237} | {'accuracy': 0.6299137104506232} |
| 0.0064 | 1534.0 | 52156 | 3.2486 | {'f1': 0.7480519480519481} | {'accuracy': 0.6279961649089166} |
| 0.0064 | 1535.0 | 52190 | 3.2885 | {'f1': 0.7480519480519481} | {'accuracy': 0.6279961649089166} |
| 0.0064 | 1536.0 | 52224 | 3.1982 | {'f1': 0.7519181585677749} | {'accuracy': 0.6279961649089166} |
| 0.0064 | 1537.0 | 52258 | 3.1040 | {'f1': 0.7690387016229714} | {'accuracy': 0.6452540747842761} |
| 0.0064 | 1538.0 | 52292 | 3.0340 | {'f1': 0.7580543272267846} | {'accuracy': 0.6327900287631831} |
| 0.0064 | 1539.0 | 52326 | 3.0873 | {'f1': 0.7580543272267846} | {'accuracy': 0.6327900287631831} |
| 0.0064 | 1540.0 | 52360 | 2.9080 | {'f1': 0.7527156549520766} | {'accuracy': 0.6289549376797698} |
| 0.0064 | 1541.0 | 52394 | 2.9674 | {'f1': 0.7547649301143583} | {'accuracy': 0.6299137104506232} |
| 0.0064 | 1542.0 | 52428 | 2.8602 | {'f1': 0.7545973367152822} | {'accuracy': 0.6289549376797698} |
| 0.0064 | 1543.0 | 52462 | 2.8773 | {'f1': 0.7550761421319797} | {'accuracy': 0.6299137104506232} |
| 0.0064 | 1544.0 | 52496 | 2.9720 | {'f1': 0.7550761421319797} | {'accuracy': 0.6299137104506232} |
| 0.0069 | 1545.0 | 52530 | 2.9941 | {'f1': 0.7547649301143583} | {'accuracy': 0.6299137104506232} |
| 0.0069 | 1546.0 | 52564 | 3.0352 | {'f1': 0.7571337983512999} | {'accuracy': 0.6327900287631831} |
| 0.0069 | 1547.0 | 52598 | 3.1289 | {'f1': 0.7483530961791831} | {'accuracy': 0.6337488015340365} |
| 0.0069 | 1548.0 | 52632 | 3.1747 | {'f1': 0.747871643745907} | {'accuracy': 0.6308724832214765} |
| 0.0069 | 1549.0 | 52666 | 3.2336 | {'f1': 0.7490297542043983} | {'accuracy': 0.6279961649089166} |
| 0.0069 | 1550.0 | 52700 | 3.2556 | {'f1': 0.7547892720306513} | {'accuracy': 0.6318312559923298} |
| 0.0069 | 1551.0 | 52734 | 3.2910 | {'f1': 0.7547892720306513} | {'accuracy': 0.6318312559923298} |
| 0.0069 | 1552.0 | 52768 | 3.3241 | {'f1': 0.7547892720306513} | {'accuracy': 0.6318312559923298} |
| 0.0069 | 1553.0 | 52802 | 3.2627 | {'f1': 0.7547892720306513} | {'accuracy': 0.6318312559923298} |
| 0.0069 | 1554.0 | 52836 | 2.9687 | {'f1': 0.7473958333333334} | {'accuracy': 0.6279961649089166} |
| 0.0069 | 1555.0 | 52870 | 3.0521 | {'f1': 0.7440944881889764} | {'accuracy': 0.62607861936721} |
| 0.0069 | 1556.0 | 52904 | 3.0884 | {'f1': 0.7574793125397836} | {'accuracy': 0.6347075743048898} |
| 0.0069 | 1557.0 | 52938 | 3.1595 | {'f1': 0.7444589308996088} | {'accuracy': 0.6241610738255033} |
| 0.0069 | 1558.0 | 52972 | 3.1697 | {'f1': 0.7302013422818792} | {'accuracy': 0.6145733461169702} |
| 0.007 | 1559.0 | 53006 | 3.0408 | {'f1': 0.7398692810457516} | {'accuracy': 0.6184084372003835} |
| 0.007 | 1560.0 | 53040 | 3.0760 | {'f1': 0.7794746487477093} | {'accuracy': 0.6538830297219559} |
| 0.007 | 1561.0 | 53074 | 3.1548 | {'f1': 0.7587523870146403} | {'accuracy': 0.6366251198465963} |
| 0.007 | 1562.0 | 53108 | 3.2482 | {'f1': 0.7459389213775178} | {'accuracy': 0.6251198465963567} |
| 0.007 | 1563.0 | 53142 | 3.2902 | {'f1': 0.7464239271781534} | {'accuracy': 0.62607861936721} |
| 0.007 | 1564.0 | 53176 | 3.3844 | {'f1': 0.7435728411338167} | {'accuracy': 0.6270373921380633} |
| 0.007 | 1565.0 | 53210 | 3.2504 | {'f1': 0.7355096602265156} | {'accuracy': 0.6193672099712368} |
| 0.007 | 1566.0 | 53244 | 3.2465 | {'f1': 0.7649653434152489} | {'accuracy': 0.6423777564717162} |
| 0.007 | 1567.0 | 53278 | 3.2672 | {'f1': 0.7697121401752192} | {'accuracy': 0.6471716203259827} |
| 0.007 | 1568.0 | 53312 | 3.2650 | {'f1': 0.7657430730478589} | {'accuracy': 0.6433365292425696} |
| 0.007 | 1569.0 | 53346 | 3.0981 | {'f1': 0.7724736515809051} | {'accuracy': 0.6481303930968361} |
| 0.007 | 1570.0 | 53380 | 3.1353 | {'f1': 0.7737135771853688} | {'accuracy': 0.6500479386385427} |
| 0.007 | 1571.0 | 53414 | 3.0838 | {'f1': 0.7790769230769231} | {'accuracy': 0.6558005752636625} |
| 0.007 | 1572.0 | 53448 | 3.1759 | {'f1': 0.7433050293925539} | {'accuracy': 0.62320230105465} |
| 0.007 | 1573.0 | 53482 | 3.2724 | {'f1': 0.7381745502998002} | {'accuracy': 0.62320230105465} |
| 0.0062 | 1574.0 | 53516 | 3.1167 | {'f1': 0.7459177008491182} | {'accuracy': 0.6270373921380633} |
| 0.0062 | 1575.0 | 53550 | 3.0247 | {'f1': 0.7491940683430045} | {'accuracy': 0.6270373921380633} |
| 0.0062 | 1576.0 | 53584 | 3.1358 | {'f1': 0.7547649301143583} | {'accuracy': 0.6299137104506232} |
| 0.0062 | 1577.0 | 53618 | 3.2035 | {'f1': 0.7547649301143583} | {'accuracy': 0.6299137104506232} |
| 0.0062 | 1578.0 | 53652 | 3.2564 | {'f1': 0.7547649301143583} | {'accuracy': 0.6299137104506232} |
| 0.0062 | 1579.0 | 53686 | 3.1697 | {'f1': 0.764002517306482} | {'accuracy': 0.6404602109300096} |
| 0.0062 | 1580.0 | 53720 | 3.0894 | {'f1': 0.7546207775653282} | {'accuracy': 0.6308724832214765} |
| 0.0062 | 1581.0 | 53754 | 3.1040 | {'f1': 0.7541613316261203} | {'accuracy': 0.6318312559923298} |
| 0.0062 | 1582.0 | 53788 | 2.9691 | {'f1': 0.7580952380952379} | {'accuracy': 0.6347075743048898} |
| 0.0062 | 1583.0 | 53822 | 2.9685 | {'f1': 0.745252128356254} | {'accuracy': 0.6270373921380633} |
| 0.0062 | 1584.0 | 53856 | 2.9016 | {'f1': 0.748378728923476} | {'accuracy': 0.6279961649089166} |
| 0.0062 | 1585.0 | 53890 | 3.0560 | {'f1': 0.748378728923476} | {'accuracy': 0.6279961649089166} |
| 0.0062 | 1586.0 | 53924 | 3.1308 | {'f1': 0.748378728923476} | {'accuracy': 0.6279961649089166} |
| 0.0062 | 1587.0 | 53958 | 3.1903 | {'f1': 0.748378728923476} | {'accuracy': 0.6279961649089166} |
| 0.0062 | 1588.0 | 53992 | 3.2376 | {'f1': 0.7508048937540245} | {'accuracy': 0.6289549376797698} |
| 0.007 | 1589.0 | 54026 | 3.2075 | {'f1': 0.764002517306482} | {'accuracy': 0.6404602109300096} |
| 0.007 | 1590.0 | 54060 | 3.3035 | {'f1': 0.7459177008491182} | {'accuracy': 0.6270373921380633} |
| 0.007 | 1591.0 | 54094 | 3.3354 | {'f1': 0.7488643737832575} | {'accuracy': 0.6289549376797698} |
| 0.007 | 1592.0 | 54128 | 3.2959 | {'f1': 0.7635220125786163} | {'accuracy': 0.6395014381591563} |
| 0.007 | 1593.0 | 54162 | 3.3265 | {'f1': 0.7635220125786163} | {'accuracy': 0.6395014381591563} |
| 0.007 | 1594.0 | 54196 | 3.3539 | {'f1': 0.7635220125786163} | {'accuracy': 0.6395014381591563} |
| 0.007 | 1595.0 | 54230 | 3.3800 | {'f1': 0.7635220125786163} | {'accuracy': 0.6395014381591563} |
| 0.007 | 1596.0 | 54264 | 3.4038 | {'f1': 0.7635220125786163} | {'accuracy': 0.6395014381591563} |
| 0.007 | 1597.0 | 54298 | 3.3123 | {'f1': 0.7629255989911727} | {'accuracy': 0.6395014381591563} |
| 0.007 | 1598.0 | 54332 | 3.1850 | {'f1': 0.7528809218950064} | {'accuracy': 0.6299137104506232} |
| 0.007 | 1599.0 | 54366 | 3.1954 | {'f1': 0.7573062261753494} | {'accuracy': 0.6337488015340365} |
| 0.007 | 1600.0 | 54400 | 3.2234 | {'f1': 0.7623261694058154} | {'accuracy': 0.6395014381591563} |
| 0.007 | 1601.0 | 54434 | 3.2562 | {'f1': 0.7623261694058154} | {'accuracy': 0.6395014381591563} |
| 0.007 | 1602.0 | 54468 | 3.2887 | {'f1': 0.7623261694058154} | {'accuracy': 0.6395014381591563} |
| 0.0022 | 1603.0 | 54502 | 3.3190 | {'f1': 0.7623261694058154} | {'accuracy': 0.6395014381591563} |
| 0.0022 | 1604.0 | 54536 | 3.3478 | {'f1': 0.7623261694058154} | {'accuracy': 0.6395014381591563} |
| 0.0022 | 1605.0 | 54570 | 3.3761 | {'f1': 0.7623261694058154} | {'accuracy': 0.6395014381591563} |
| 0.0022 | 1606.0 | 54604 | 3.4023 | {'f1': 0.7623261694058154} | {'accuracy': 0.6395014381591563} |
| 0.0022 | 1607.0 | 54638 | 3.4272 | {'f1': 0.7623261694058154} | {'accuracy': 0.6395014381591563} |
| 0.0022 | 1608.0 | 54672 | 3.4524 | {'f1': 0.7623261694058154} | {'accuracy': 0.6395014381591563} |
| 0.0022 | 1609.0 | 54706 | 3.4763 | {'f1': 0.7623261694058154} | {'accuracy': 0.6395014381591563} |
| 0.0022 | 1610.0 | 54740 | 3.5000 | {'f1': 0.7623261694058154} | {'accuracy': 0.6395014381591563} |
| 0.0022 | 1611.0 | 54774 | 3.4682 | {'f1': 0.7538265306122449} | {'accuracy': 0.6299137104506232} |
| 0.0022 | 1612.0 | 54808 | 3.5695 | {'f1': 0.7381745502998002} | {'accuracy': 0.62320230105465} |
| 0.0022 | 1613.0 | 54842 | 3.5743 | {'f1': 0.7414698162729658} | {'accuracy': 0.6222435282837967} |
| 0.0022 | 1614.0 | 54876 | 3.6055 | {'f1': 0.7409836065573769} | {'accuracy': 0.6212847555129435} |
| 0.0022 | 1615.0 | 54910 | 3.4339 | {'f1': 0.770287141073658} | {'accuracy': 0.6471716203259827} |
| 0.0022 | 1616.0 | 54944 | 3.6022 | {'f1': 0.7467866323907454} | {'accuracy': 0.6222435282837967} |
| 0.0022 | 1617.0 | 54978 | 3.6791 | {'f1': 0.7340774786605384} | {'accuracy': 0.6116970278044104} |
| 0.0038 | 1618.0 | 55012 | 3.6315 | {'f1': 0.7440361057382333} | {'accuracy': 0.6193672099712368} |
| 0.0038 | 1619.0 | 55046 | 3.6485 | {'f1': 0.7514376996805111} | {'accuracy': 0.6270373921380633} |
| 0.0038 | 1620.0 | 55080 | 3.6565 | {'f1': 0.7593177511054959} | {'accuracy': 0.6347075743048898} |
| 0.0038 | 1621.0 | 55114 | 3.5313 | {'f1': 0.7622641509433962} | {'accuracy': 0.6375838926174496} |
| 0.0038 | 1622.0 | 55148 | 3.5665 | {'f1': 0.7538265306122449} | {'accuracy': 0.6299137104506232} |
| 0.0038 | 1623.0 | 55182 | 3.6048 | {'f1': 0.7535121328224776} | {'accuracy': 0.6299137104506232} |
| 0.0038 | 1624.0 | 55216 | 3.5887 | {'f1': 0.7582697201017812} | {'accuracy': 0.6356663470757431} |
| 0.0038 | 1625.0 | 55250 | 3.4920 | {'f1': 0.767601246105919} | {'accuracy': 0.6423777564717162} |
| 0.0038 | 1626.0 | 55284 | 3.4425 | {'f1': 0.7671232876712328} | {'accuracy': 0.6414189837008629} |
| 0.0038 | 1627.0 | 55318 | 3.4615 | {'f1': 0.7671232876712328} | {'accuracy': 0.6414189837008629} |
| 0.0038 | 1628.0 | 55352 | 3.5079 | {'f1': 0.7530468248877487} | {'accuracy': 0.6308724832214765} |
| 0.0038 | 1629.0 | 55386 | 3.5543 | {'f1': 0.7516087516087516} | {'accuracy': 0.6299137104506232} |
| 0.0038 | 1630.0 | 55420 | 3.4818 | {'f1': 0.767601246105919} | {'accuracy': 0.6423777564717162} |
| 0.0038 | 1631.0 | 55454 | 3.4927 | {'f1': 0.7680703959773727} | {'accuracy': 0.6462128475551294} |
| 0.0038 | 1632.0 | 55488 | 3.5157 | {'f1': 0.7677784770295784} | {'accuracy': 0.6462128475551294} |
| 0.0034 | 1633.0 | 55522 | 3.3151 | {'f1': 0.755612572161642} | {'accuracy': 0.6347075743048898} |
| 0.0034 | 1634.0 | 55556 | 3.1197 | {'f1': 0.7490297542043983} | {'accuracy': 0.6279961649089166} |
| 0.0034 | 1635.0 | 55590 | 3.2555 | {'f1': 0.7487046632124352} | {'accuracy': 0.6279961649089166} |
| 0.0034 | 1636.0 | 55624 | 3.3209 | {'f1': 0.7506459948320413} | {'accuracy': 0.6299137104506232} |
| 0.0034 | 1637.0 | 55658 | 3.3691 | {'f1': 0.7509677419354838} | {'accuracy': 0.6299137104506232} |
| 0.0034 | 1638.0 | 55692 | 3.4196 | {'f1': 0.7562380038387715} | {'accuracy': 0.6347075743048898} |
| 0.0034 | 1639.0 | 55726 | 3.3962 | {'f1': 0.741851368970013} | {'accuracy': 0.6203259827420902} |
| 0.0034 | 1640.0 | 55760 | 3.5089 | {'f1': 0.7297116029510397} | {'accuracy': 0.613614573346117} |
| 0.0034 | 1641.0 | 55794 | 3.3322 | {'f1': 0.7656348704990524} | {'accuracy': 0.6442953020134228} |
| 0.0034 | 1642.0 | 55828 | 3.5576 | {'f1': 0.7470664928292047} | {'accuracy': 0.6279961649089166} |
| 0.0034 | 1643.0 | 55862 | 3.5899 | {'f1': 0.7470664928292047} | {'accuracy': 0.6279961649089166} |
| 0.0034 | 1644.0 | 55896 | 3.4360 | {'f1': 0.7673981191222571} | {'accuracy': 0.6442953020134228} |
| 0.0034 | 1645.0 | 55930 | 3.4020 | {'f1': 0.7755102040816326} | {'accuracy': 0.6519654841802492} |
| 0.0034 | 1646.0 | 55964 | 3.5473 | {'f1': 0.7648546144121365} | {'accuracy': 0.6433365292425696} |
| 0.0034 | 1647.0 | 55998 | 3.6072 | {'f1': 0.7523992322456813} | {'accuracy': 0.6289549376797698} |
| 0.0062 | 1648.0 | 56032 | 3.6431 | {'f1': 0.7674858223062383} | {'accuracy': 0.6462128475551294} |
| 0.0062 | 1649.0 | 56066 | 3.6669 | {'f1': 0.7674858223062383} | {'accuracy': 0.6462128475551294} |
| 0.0062 | 1650.0 | 56100 | 3.8491 | {'f1': 0.7427821522309711} | {'accuracy': 0.6241610738255033} |
| 0.0062 | 1651.0 | 56134 | 3.9111 | {'f1': 0.7399605003291639} | {'accuracy': 0.6212847555129435} |
| 0.0062 | 1652.0 | 56168 | 3.5744 | {'f1': 0.7532133676092545} | {'accuracy': 0.6318312559923298} |
| 0.0062 | 1653.0 | 56202 | 3.5916 | {'f1': 0.7504835589941972} | {'accuracy': 0.6289549376797698} |
| 0.0062 | 1654.0 | 56236 | 3.6949 | {'f1': 0.7425938117182357} | {'accuracy': 0.6251198465963567} |
| 0.0062 | 1655.0 | 56270 | 3.6253 | {'f1': 0.7631080227416298} | {'accuracy': 0.6404602109300096} |
| 0.0062 | 1656.0 | 56304 | 3.6313 | {'f1': 0.7655562539283469} | {'accuracy': 0.6423777564717162} |
| 0.0062 | 1657.0 | 56338 | 3.6560 | {'f1': 0.7655562539283469} | {'accuracy': 0.6423777564717162} |
| 0.0062 | 1658.0 | 56372 | 3.6776 | {'f1': 0.7655562539283469} | {'accuracy': 0.6423777564717162} |
| 0.0062 | 1659.0 | 56406 | 3.7003 | {'f1': 0.7655562539283469} | {'accuracy': 0.6423777564717162} |
| 0.0062 | 1660.0 | 56440 | 3.7199 | {'f1': 0.7655562539283469} | {'accuracy': 0.6423777564717162} |
| 0.0062 | 1661.0 | 56474 | 3.7405 | {'f1': 0.7655562539283469} | {'accuracy': 0.6423777564717162} |
| 0.0027 | 1662.0 | 56508 | 3.8038 | {'f1': 0.76280834914611} | {'accuracy': 0.6404602109300096} |
| 0.0027 | 1663.0 | 56542 | 3.8314 | {'f1': 0.7638888888888887} | {'accuracy': 0.6414189837008629} |
| 0.0027 | 1664.0 | 56576 | 3.8491 | {'f1': 0.7638888888888887} | {'accuracy': 0.6414189837008629} |
| 0.0027 | 1665.0 | 56610 | 3.8665 | {'f1': 0.7638888888888887} | {'accuracy': 0.6414189837008629} |
| 0.0027 | 1666.0 | 56644 | 3.8832 | {'f1': 0.7638888888888887} | {'accuracy': 0.6414189837008629} |
| 0.0027 | 1667.0 | 56678 | 3.9888 | {'f1': 0.7546444586803331} | {'accuracy': 0.6327900287631831} |
| 0.0027 | 1668.0 | 56712 | 4.0355 | {'f1': 0.7496774193548387} | {'accuracy': 0.6279961649089166} |
| 0.0027 | 1669.0 | 56746 | 4.0444 | {'f1': 0.7504835589941972} | {'accuracy': 0.6289549376797698} |
| 0.0027 | 1670.0 | 56780 | 4.0486 | {'f1': 0.7535301668806161} | {'accuracy': 0.6318312559923298} |
| 0.0027 | 1671.0 | 56814 | 4.0648 | {'f1': 0.7543296985246953} | {'accuracy': 0.6327900287631831} |
| 0.0027 | 1672.0 | 56848 | 4.1683 | {'f1': 0.7341269841269841} | {'accuracy': 0.6145733461169702} |
| 0.0027 | 1673.0 | 56882 | 3.9003 | {'f1': 0.7210884353741497} | {'accuracy': 0.6069031639501438} |
| 0.0027 | 1674.0 | 56916 | 3.8211 | {'f1': 0.7336417713152676} | {'accuracy': 0.613614573346117} |
| 0.0027 | 1675.0 | 56950 | 3.7242 | {'f1': 0.7632911392405063} | {'accuracy': 0.6414189837008629} |
| 0.0027 | 1676.0 | 56984 | 3.7519 | {'f1': 0.7648546144121365} | {'accuracy': 0.6433365292425696} |
| 0.0026 | 1677.0 | 57018 | 3.7773 | {'f1': 0.7648546144121365} | {'accuracy': 0.6433365292425696} |
| 0.0026 | 1678.0 | 57052 | 3.8003 | {'f1': 0.7648546144121365} | {'accuracy': 0.6433365292425696} |
| 0.0026 | 1679.0 | 57086 | 3.4240 | {'f1': 0.7401574803149606} | {'accuracy': 0.6203259827420902} |
| 0.0026 | 1680.0 | 57120 | 3.4788 | {'f1': 0.7393302692055154} | {'accuracy': 0.6193672099712368} |
| 0.0026 | 1681.0 | 57154 | 3.5044 | {'f1': 0.7464239271781534} | {'accuracy': 0.62607861936721} |
| 0.0026 | 1682.0 | 57188 | 3.5395 | {'f1': 0.7459389213775178} | {'accuracy': 0.6251198465963567} |
| 0.0026 | 1683.0 | 57222 | 3.5690 | {'f1': 0.744970798182998} | {'accuracy': 0.62320230105465} |
| 0.0026 | 1684.0 | 57256 | 3.5936 | {'f1': 0.7465975372650681} | {'accuracy': 0.6251198465963567} |
| 0.0026 | 1685.0 | 57290 | 3.6150 | {'f1': 0.7465975372650681} | {'accuracy': 0.6251198465963567} |
| 0.0026 | 1686.0 | 57324 | 3.6327 | {'f1': 0.7474093264248703} | {'accuracy': 0.62607861936721} |
| 0.0026 | 1687.0 | 57358 | 3.6494 | {'f1': 0.7474093264248703} | {'accuracy': 0.62607861936721} |
| 0.0026 | 1688.0 | 57392 | 3.4511 | {'f1': 0.7675879396984925} | {'accuracy': 0.6452540747842761} |
| 0.0026 | 1689.0 | 57426 | 3.4738 | {'f1': 0.7683615819209039} | {'accuracy': 0.6462128475551294} |
| 0.0026 | 1690.0 | 57460 | 3.5422 | {'f1': 0.7612985359643538} | {'accuracy': 0.6404602109300096} |
| 0.0026 | 1691.0 | 57494 | 3.6255 | {'f1': 0.7482200647249191} | {'accuracy': 0.6270373921380633} |
| 0.003 | 1692.0 | 57528 | 3.5893 | {'f1': 0.7482200647249191} | {'accuracy': 0.6270373921380633} |
| 0.003 | 1693.0 | 57562 | 3.6562 | {'f1': 0.7464239271781534} | {'accuracy': 0.62607861936721} |
| 0.003 | 1694.0 | 57596 | 3.4693 | {'f1': 0.7589285714285715} | {'accuracy': 0.6375838926174496} |
| 0.003 | 1695.0 | 57630 | 3.5052 | {'f1': 0.7589285714285715} | {'accuracy': 0.6375838926174496} |
| 0.003 | 1696.0 | 57664 | 3.5497 | {'f1': 0.7589285714285715} | {'accuracy': 0.6375838926174496} |
| 0.003 | 1697.0 | 57698 | 3.5859 | {'f1': 0.7589285714285715} | {'accuracy': 0.6375838926174496} |
| 0.003 | 1698.0 | 57732 | 3.6050 | {'f1': 0.7589285714285715} | {'accuracy': 0.6375838926174496} |
| 0.003 | 1699.0 | 57766 | 3.6201 | {'f1': 0.7589285714285715} | {'accuracy': 0.6375838926174496} |
| 0.003 | 1700.0 | 57800 | 3.6337 | {'f1': 0.7589285714285715} | {'accuracy': 0.6375838926174496} |
| 0.003 | 1701.0 | 57834 | 3.6499 | {'f1': 0.7589285714285715} | {'accuracy': 0.6375838926174496} |
| 0.003 | 1702.0 | 57868 | 3.6292 | {'f1': 0.7608142493638677} | {'accuracy': 0.6395014381591563} |
| 0.003 | 1703.0 | 57902 | 3.6530 | {'f1': 0.7616020343293072} | {'accuracy': 0.6404602109300096} |
| 0.003 | 1704.0 | 57936 | 3.6822 | {'f1': 0.7616020343293072} | {'accuracy': 0.6404602109300096} |
| 0.003 | 1705.0 | 57970 | 3.7023 | {'f1': 0.7616020343293072} | {'accuracy': 0.6404602109300096} |
| 0.0011 | 1706.0 | 58004 | 3.7087 | {'f1': 0.7675879396984925} | {'accuracy': 0.6452540747842761} |
| 0.0011 | 1707.0 | 58038 | 3.7530 | {'f1': 0.7653383934218849} | {'accuracy': 0.6442953020134228} |
| 0.0011 | 1708.0 | 58072 | 3.7709 | {'f1': 0.7653383934218849} | {'accuracy': 0.6442953020134228} |
| 0.0011 | 1709.0 | 58106 | 3.7837 | {'f1': 0.7653383934218849} | {'accuracy': 0.6442953020134228} |
| 0.0011 | 1710.0 | 58140 | 3.9141 | {'f1': 0.7475665152498377} | {'accuracy': 0.6270373921380633} |
| 0.0011 | 1711.0 | 58174 | 3.6118 | {'f1': 0.7631746031746031} | {'accuracy': 0.6423777564717162} |
| 0.0011 | 1712.0 | 58208 | 3.5926 | {'f1': 0.7702957835116424} | {'accuracy': 0.6500479386385427} |
| 0.0011 | 1713.0 | 58242 | 3.6359 | {'f1': 0.7688442211055276} | {'accuracy': 0.6471716203259827} |
| 0.0011 | 1714.0 | 58276 | 3.6733 | {'f1': 0.7688442211055276} | {'accuracy': 0.6471716203259827} |
| 0.0011 | 1715.0 | 58310 | 3.6858 | {'f1': 0.7678795483061481} | {'accuracy': 0.6452540747842761} |
| 0.0011 | 1716.0 | 58344 | 3.6559 | {'f1': 0.7828220858895706} | {'accuracy': 0.660594439117929} |
| 0.0011 | 1717.0 | 58378 | 3.7268 | {'f1': 0.7592829705505761} | {'accuracy': 0.6395014381591563} |
| 0.0011 | 1718.0 | 58412 | 3.7538 | {'f1': 0.758974358974359} | {'accuracy': 0.6395014381591563} |
| 0.0011 | 1719.0 | 58446 | 3.7728 | {'f1': 0.758974358974359} | {'accuracy': 0.6395014381591563} |
| 0.0011 | 1720.0 | 58480 | 3.7851 | {'f1': 0.758974358974359} | {'accuracy': 0.6395014381591563} |
| 0.0017 | 1721.0 | 58514 | 3.7970 | {'f1': 0.758974358974359} | {'accuracy': 0.6395014381591563} |
| 0.0017 | 1722.0 | 58548 | 3.8121 | {'f1': 0.758974358974359} | {'accuracy': 0.6395014381591563} |
| 0.0017 | 1723.0 | 58582 | 3.8151 | {'f1': 0.758974358974359} | {'accuracy': 0.6395014381591563} |
| 0.0017 | 1724.0 | 58616 | 3.7440 | {'f1': 0.7790769230769231} | {'accuracy': 0.6558005752636625} |
| 0.0017 | 1725.0 | 58650 | 3.4879 | {'f1': 0.7717323327079425} | {'accuracy': 0.6500479386385427} |
| 0.0017 | 1726.0 | 58684 | 3.3923 | {'f1': 0.7719298245614036} | {'accuracy': 0.6510067114093959} |
| 0.0017 | 1727.0 | 58718 | 3.4105 | {'f1': 0.7719298245614036} | {'accuracy': 0.6510067114093959} |
| 0.0017 | 1728.0 | 58752 | 3.6363 | {'f1': 0.7446113651208359} | {'accuracy': 0.6251198465963567} |
| 0.0017 | 1729.0 | 58786 | 3.4071 | {'f1': 0.7620865139949109} | {'accuracy': 0.6414189837008629} |
| 0.0017 | 1730.0 | 58820 | 3.4109 | {'f1': 0.7674858223062383} | {'accuracy': 0.6462128475551294} |
| 0.0017 | 1731.0 | 58854 | 3.4115 | {'f1': 0.7548138639281129} | {'accuracy': 0.6337488015340365} |
| 0.0017 | 1732.0 | 58888 | 3.3901 | {'f1': 0.7465798045602605} | {'accuracy': 0.6270373921380633} |
| 0.0017 | 1733.0 | 58922 | 3.4340 | {'f1': 0.7498383968972205} | {'accuracy': 0.6289549376797698} |
| 0.0017 | 1734.0 | 58956 | 3.2166 | {'f1': 0.7792848335388408} | {'accuracy': 0.6567593480345159} |
| 0.0017 | 1735.0 | 58990 | 3.3220 | {'f1': 0.7672955974842767} | {'accuracy': 0.6452540747842761} |
| 0.0049 | 1736.0 | 59024 | 3.3946 | {'f1': 0.7616020343293072} | {'accuracy': 0.6404602109300096} |
| 0.0049 | 1737.0 | 59058 | 3.4409 | {'f1': 0.7616020343293072} | {'accuracy': 0.6404602109300096} |
| 0.0049 | 1738.0 | 59092 | 3.4824 | {'f1': 0.7616020343293072} | {'accuracy': 0.6404602109300096} |
| 0.0049 | 1739.0 | 59126 | 3.4563 | {'f1': 0.7573435504469986} | {'accuracy': 0.6356663470757431} |
| 0.0049 | 1740.0 | 59160 | 3.4690 | {'f1': 0.7605095541401273} | {'accuracy': 0.6395014381591563} |
| 0.0049 | 1741.0 | 59194 | 3.4579 | {'f1': 0.7806372549019609} | {'accuracy': 0.6567593480345159} |
| 0.0049 | 1742.0 | 59228 | 3.4776 | {'f1': 0.7816513761467889} | {'accuracy': 0.6577181208053692} |
| 0.0049 | 1743.0 | 59262 | 3.5449 | {'f1': 0.7721280602636535} | {'accuracy': 0.6519654841802492} |
| 0.0049 | 1744.0 | 59296 | 3.4888 | {'f1': 0.7702957835116424} | {'accuracy': 0.6500479386385427} |
| 0.0049 | 1745.0 | 59330 | 3.2544 | {'f1': 0.7711598746081504} | {'accuracy': 0.6500479386385427} |
| 0.0049 | 1746.0 | 59364 | 3.2793 | {'f1': 0.7711598746081504} | {'accuracy': 0.6500479386385427} |
| 0.0049 | 1747.0 | 59398 | 3.3506 | {'f1': 0.7688442211055276} | {'accuracy': 0.6471716203259827} |
| 0.0049 | 1748.0 | 59432 | 3.4001 | {'f1': 0.7711598746081504} | {'accuracy': 0.6500479386385427} |
| 0.0049 | 1749.0 | 59466 | 3.4260 | {'f1': 0.7648546144121365} | {'accuracy': 0.6433365292425696} |
| 0.0031 | 1750.0 | 59500 | 3.4329 | {'f1': 0.7750309023485785} | {'accuracy': 0.6510067114093959} |
| 0.0031 | 1751.0 | 59534 | 3.4650 | {'f1': 0.7766153846153846} | {'accuracy': 0.6519654841802492} |
| 0.0031 | 1752.0 | 59568 | 3.4717 | {'f1': 0.7723880597014924} | {'accuracy': 0.6490891658676894} |
| 0.0031 | 1753.0 | 59602 | 3.4976 | {'f1': 0.7692307692307693} | {'accuracy': 0.6462128475551294} |
| 0.0031 | 1754.0 | 59636 | 3.5244 | {'f1': 0.7692307692307693} | {'accuracy': 0.6462128475551294} |
| 0.0031 | 1755.0 | 59670 | 3.5507 | {'f1': 0.7710542732376793} | {'accuracy': 0.6481303930968361} |
| 0.0031 | 1756.0 | 59704 | 3.5790 | {'f1': 0.7637051039697542} | {'accuracy': 0.6404602109300096} |
| 0.0031 | 1757.0 | 59738 | 3.6038 | {'f1': 0.7620253164556962} | {'accuracy': 0.6395014381591563} |
| 0.0031 | 1758.0 | 59772 | 3.6257 | {'f1': 0.7620253164556962} | {'accuracy': 0.6395014381591563} |
| 0.0031 | 1759.0 | 59806 | 3.6449 | {'f1': 0.7620253164556962} | {'accuracy': 0.6395014381591563} |
| 0.0031 | 1760.0 | 59840 | 3.6644 | {'f1': 0.7620253164556962} | {'accuracy': 0.6395014381591563} |
| 0.0031 | 1761.0 | 59874 | 3.8020 | {'f1': 0.7443070917371504} | {'accuracy': 0.62320230105465} |
| 0.0031 | 1762.0 | 59908 | 3.8232 | {'f1': 0.7431551499348111} | {'accuracy': 0.6222435282837967} |
| 0.0031 | 1763.0 | 59942 | 3.7951 | {'f1': 0.7604562737642585} | {'accuracy': 0.6375838926174496} |
| 0.0031 | 1764.0 | 59976 | 3.8043 | {'f1': 0.7620253164556962} | {'accuracy': 0.6395014381591563} |
| 0.0007 | 1765.0 | 60010 | 3.8168 | {'f1': 0.7620253164556962} | {'accuracy': 0.6395014381591563} |
| 0.0007 | 1766.0 | 60044 | 3.8291 | {'f1': 0.7620253164556962} | {'accuracy': 0.6395014381591563} |
| 0.0007 | 1767.0 | 60078 | 3.8384 | {'f1': 0.7620253164556962} | {'accuracy': 0.6395014381591563} |
| 0.0007 | 1768.0 | 60112 | 3.8471 | {'f1': 0.7620253164556962} | {'accuracy': 0.6395014381591563} |
| 0.0007 | 1769.0 | 60146 | 3.8545 | {'f1': 0.7635903919089759} | {'accuracy': 0.6414189837008629} |
| 0.0007 | 1770.0 | 60180 | 3.8645 | {'f1': 0.7635903919089759} | {'accuracy': 0.6414189837008629} |
| 0.0007 | 1771.0 | 60214 | 3.8741 | {'f1': 0.7635903919089759} | {'accuracy': 0.6414189837008629} |
| 0.0007 | 1772.0 | 60248 | 3.8833 | {'f1': 0.7635903919089759} | {'accuracy': 0.6414189837008629} |
| 0.0007 | 1773.0 | 60282 | 3.8918 | {'f1': 0.7635903919089759} | {'accuracy': 0.6414189837008629} |
| 0.0007 | 1774.0 | 60316 | 3.9004 | {'f1': 0.7635903919089759} | {'accuracy': 0.6414189837008629} |
| 0.0007 | 1775.0 | 60350 | 3.9087 | {'f1': 0.7635903919089759} | {'accuracy': 0.6414189837008629} |
| 0.0007 | 1776.0 | 60384 | 3.9166 | {'f1': 0.7635903919089759} | {'accuracy': 0.6414189837008629} |
| 0.0007 | 1777.0 | 60418 | 3.9240 | {'f1': 0.7635903919089759} | {'accuracy': 0.6414189837008629} |
| 0.0007 | 1778.0 | 60452 | 3.9317 | {'f1': 0.7635903919089759} | {'accuracy': 0.6414189837008629} |
| 0.0007 | 1779.0 | 60486 | 3.9380 | {'f1': 0.7635903919089759} | {'accuracy': 0.6414189837008629} |
| 0.0 | 1780.0 | 60520 | 3.9072 | {'f1': 0.7747524752475249} | {'accuracy': 0.6510067114093959} |
| 0.0 | 1781.0 | 60554 | 3.8854 | {'f1': 0.7756607252612171} | {'accuracy': 0.6500479386385427} |
| 0.0 | 1782.0 | 60588 | 3.8941 | {'f1': 0.7756607252612171} | {'accuracy': 0.6500479386385427} |
| 0.0 | 1783.0 | 60622 | 3.9036 | {'f1': 0.7756607252612171} | {'accuracy': 0.6500479386385427} |
| 0.0 | 1784.0 | 60656 | 3.9124 | {'f1': 0.7756607252612171} | {'accuracy': 0.6500479386385427} |
| 0.0 | 1785.0 | 60690 | 3.9209 | {'f1': 0.7756607252612171} | {'accuracy': 0.6500479386385427} |
| 0.0 | 1786.0 | 60724 | 3.8332 | {'f1': 0.7677784770295784} | {'accuracy': 0.6462128475551294} |
| 0.0 | 1787.0 | 60758 | 3.8391 | {'f1': 0.7667087011349306} | {'accuracy': 0.6452540747842761} |
| 0.0 | 1788.0 | 60792 | 3.8314 | {'f1': 0.7732667083073079} | {'accuracy': 0.6519654841802492} |
| 0.0 | 1789.0 | 60826 | 3.8439 | {'f1': 0.7747972551466001} | {'accuracy': 0.6538830297219559} |
| 0.0 | 1790.0 | 60860 | 3.8580 | {'f1': 0.7747972551466001} | {'accuracy': 0.6538830297219559} |
| 0.0 | 1791.0 | 60894 | 3.8723 | {'f1': 0.7747972551466001} | {'accuracy': 0.6538830297219559} |
| 0.0 | 1792.0 | 60928 | 3.8855 | {'f1': 0.7747972551466001} | {'accuracy': 0.6538830297219559} |
| 0.0 | 1793.0 | 60962 | 3.8984 | {'f1': 0.7747972551466001} | {'accuracy': 0.6538830297219559} |
| 0.0 | 1794.0 | 60996 | 4.1220 | {'f1': 0.7522464698331194} | {'accuracy': 0.6299137104506232} |
| 0.0008 | 1795.0 | 61030 | 4.1573 | {'f1': 0.7506459948320413} | {'accuracy': 0.6299137104506232} |
| 0.0008 | 1796.0 | 61064 | 4.1722 | {'f1': 0.7506459948320413} | {'accuracy': 0.6299137104506232} |
| 0.0008 | 1797.0 | 61098 | 4.1836 | {'f1': 0.7506459948320413} | {'accuracy': 0.6299137104506232} |
| 0.0008 | 1798.0 | 61132 | 4.0501 | {'f1': 0.7689417658108956} | {'accuracy': 0.6462128475551294} |
| 0.0008 | 1799.0 | 61166 | 4.0553 | {'f1': 0.7697121401752192} | {'accuracy': 0.6471716203259827} |
| 0.0008 | 1800.0 | 61200 | 4.0661 | {'f1': 0.7697121401752192} | {'accuracy': 0.6471716203259827} |
| 0.0008 | 1801.0 | 61234 | 4.0773 | {'f1': 0.7697121401752192} | {'accuracy': 0.6471716203259827} |
| 0.0008 | 1802.0 | 61268 | 4.0883 | {'f1': 0.7697121401752192} | {'accuracy': 0.6471716203259827} |
| 0.0008 | 1803.0 | 61302 | 4.2515 | {'f1': 0.7541827541827543} | {'accuracy': 0.6337488015340365} |
| 0.0008 | 1804.0 | 61336 | 4.2705 | {'f1': 0.7540348612007747} | {'accuracy': 0.6347075743048898} |
| 0.0008 | 1805.0 | 61370 | 4.2782 | {'f1': 0.7565831727681438} | {'accuracy': 0.6366251198465963} |
| 0.0008 | 1806.0 | 61404 | 4.2890 | {'f1': 0.7565831727681438} | {'accuracy': 0.6366251198465963} |
| 0.0008 | 1807.0 | 61438 | 4.2990 | {'f1': 0.7565831727681438} | {'accuracy': 0.6366251198465963} |
| 0.0008 | 1808.0 | 61472 | 4.3087 | {'f1': 0.7565831727681438} | {'accuracy': 0.6366251198465963} |
| 0.0002 | 1809.0 | 61506 | 4.3182 | {'f1': 0.7565831727681438} | {'accuracy': 0.6366251198465963} |
| 0.0002 | 1810.0 | 61540 | 4.3270 | {'f1': 0.7565831727681438} | {'accuracy': 0.6366251198465963} |
| 0.0002 | 1811.0 | 61574 | 4.3355 | {'f1': 0.7565831727681438} | {'accuracy': 0.6366251198465963} |
| 0.0002 | 1812.0 | 61608 | 4.3437 | {'f1': 0.7565831727681438} | {'accuracy': 0.6366251198465963} |
| 0.0002 | 1813.0 | 61642 | 4.3516 | {'f1': 0.7565831727681438} | {'accuracy': 0.6366251198465963} |
| 0.0002 | 1814.0 | 61676 | 4.3596 | {'f1': 0.7565831727681438} | {'accuracy': 0.6366251198465963} |
| 0.0002 | 1815.0 | 61710 | 4.3671 | {'f1': 0.7565831727681438} | {'accuracy': 0.6366251198465963} |
| 0.0002 | 1816.0 | 61744 | 4.3745 | {'f1': 0.7565831727681438} | {'accuracy': 0.6366251198465963} |
| 0.0002 | 1817.0 | 61778 | 4.3817 | {'f1': 0.7560975609756097} | {'accuracy': 0.6356663470757431} |
| 0.0002 | 1818.0 | 61812 | 4.3883 | {'f1': 0.7560975609756097} | {'accuracy': 0.6356663470757431} |
| 0.0002 | 1819.0 | 61846 | 4.3953 | {'f1': 0.7560975609756097} | {'accuracy': 0.6356663470757431} |
| 0.0002 | 1820.0 | 61880 | 4.4011 | {'f1': 0.7560975609756097} | {'accuracy': 0.6356663470757431} |
| 0.0002 | 1821.0 | 61914 | 4.4083 | {'f1': 0.7560975609756097} | {'accuracy': 0.6356663470757431} |
| 0.0002 | 1822.0 | 61948 | 4.4151 | {'f1': 0.7565831727681438} | {'accuracy': 0.6366251198465963} |
| 0.0002 | 1823.0 | 61982 | 4.4230 | {'f1': 0.7560975609756097} | {'accuracy': 0.6356663470757431} |
| 0.0 | 1824.0 | 62016 | 4.4226 | {'f1': 0.7568954457985888} | {'accuracy': 0.6366251198465963} |
| 0.0 | 1825.0 | 62050 | 4.4213 | {'f1': 0.7554417413572342} | {'accuracy': 0.6337488015340365} |
| 0.0 | 1826.0 | 62084 | 4.4255 | {'f1': 0.7562380038387715} | {'accuracy': 0.6347075743048898} |
| 0.0 | 1827.0 | 62118 | 4.4320 | {'f1': 0.7562380038387715} | {'accuracy': 0.6347075743048898} |
| 0.0 | 1828.0 | 62152 | 4.4384 | {'f1': 0.7562380038387715} | {'accuracy': 0.6347075743048898} |
| 0.0 | 1829.0 | 62186 | 4.4441 | {'f1': 0.7562380038387715} | {'accuracy': 0.6347075743048898} |
| 0.0 | 1830.0 | 62220 | 4.4501 | {'f1': 0.7562380038387715} | {'accuracy': 0.6347075743048898} |
| 0.0 | 1831.0 | 62254 | 4.4566 | {'f1': 0.7562380038387715} | {'accuracy': 0.6347075743048898} |
| 0.0 | 1832.0 | 62288 | 4.4630 | {'f1': 0.7562380038387715} | {'accuracy': 0.6347075743048898} |
| 0.0 | 1833.0 | 62322 | 4.4686 | {'f1': 0.7562380038387715} | {'accuracy': 0.6347075743048898} |
| 0.0 | 1834.0 | 62356 | 4.4746 | {'f1': 0.7562380038387715} | {'accuracy': 0.6347075743048898} |
| 0.0 | 1835.0 | 62390 | 4.2641 | {'f1': 0.7741935483870969} | {'accuracy': 0.6510067114093959} |
| 0.0 | 1836.0 | 62424 | 4.2522 | {'f1': 0.7747524752475249} | {'accuracy': 0.6510067114093959} |
| 0.0 | 1837.0 | 62458 | 4.2425 | {'f1': 0.7692307692307693} | {'accuracy': 0.6462128475551294} |
| 0.0 | 1838.0 | 62492 | 4.2692 | {'f1': 0.7533805537669027} | {'accuracy': 0.6327900287631831} |
| 0.002 | 1839.0 | 62526 | 4.3035 | {'f1': 0.751131221719457} | {'accuracy': 0.6308724832214765} |
| 0.002 | 1840.0 | 62560 | 4.3172 | {'f1': 0.751131221719457} | {'accuracy': 0.6308724832214765} |
| 0.002 | 1841.0 | 62594 | 4.3238 | {'f1': 0.751131221719457} | {'accuracy': 0.6308724832214765} |
| 0.002 | 1842.0 | 62628 | 4.3301 | {'f1': 0.751131221719457} | {'accuracy': 0.6308724832214765} |
| 0.002 | 1843.0 | 62662 | 4.3351 | {'f1': 0.751131221719457} | {'accuracy': 0.6308724832214765} |
| 0.002 | 1844.0 | 62696 | 4.3410 | {'f1': 0.751937984496124} | {'accuracy': 0.6318312559923298} |
| 0.002 | 1845.0 | 62730 | 4.3472 | {'f1': 0.751937984496124} | {'accuracy': 0.6318312559923298} |
| 0.002 | 1846.0 | 62764 | 4.3534 | {'f1': 0.751937984496124} | {'accuracy': 0.6318312559923298} |
| 0.002 | 1847.0 | 62798 | 4.3597 | {'f1': 0.751937984496124} | {'accuracy': 0.6318312559923298} |
| 0.002 | 1848.0 | 62832 | 4.3662 | {'f1': 0.751937984496124} | {'accuracy': 0.6318312559923298} |
| 0.002 | 1849.0 | 62866 | 4.3726 | {'f1': 0.751937984496124} | {'accuracy': 0.6318312559923298} |
| 0.002 | 1850.0 | 62900 | 4.3782 | {'f1': 0.7527437056165269} | {'accuracy': 0.6327900287631831} |
| 0.002 | 1851.0 | 62934 | 4.3846 | {'f1': 0.7527437056165269} | {'accuracy': 0.6327900287631831} |
| 0.002 | 1852.0 | 62968 | 4.3894 | {'f1': 0.7530625402965828} | {'accuracy': 0.6327900287631831} |
| 0.0 | 1853.0 | 63002 | 4.3957 | {'f1': 0.7533805537669027} | {'accuracy': 0.6327900287631831} |
| 0.0 | 1854.0 | 63036 | 4.4022 | {'f1': 0.7533805537669027} | {'accuracy': 0.6327900287631831} |
| 0.0 | 1855.0 | 63070 | 4.4090 | {'f1': 0.7533805537669027} | {'accuracy': 0.6327900287631831} |
| 0.0 | 1856.0 | 63104 | 4.4153 | {'f1': 0.7533805537669027} | {'accuracy': 0.6327900287631831} |
| 0.0 | 1857.0 | 63138 | 4.4124 | {'f1': 0.755128205128205} | {'accuracy': 0.6337488015340365} |
| 0.0 | 1858.0 | 63172 | 4.4182 | {'f1': 0.755128205128205} | {'accuracy': 0.6337488015340365} |
| 0.0 | 1859.0 | 63206 | 4.4047 | {'f1': 0.7573435504469986} | {'accuracy': 0.6356663470757431} |
| 0.0 | 1860.0 | 63240 | 4.3785 | {'f1': 0.7614213197969542} | {'accuracy': 0.6395014381591563} |
| 0.0 | 1861.0 | 63274 | 4.3812 | {'f1': 0.7622067216233355} | {'accuracy': 0.6404602109300096} |
| 0.0 | 1862.0 | 63308 | 4.3565 | {'f1': 0.770287141073658} | {'accuracy': 0.6471716203259827} |
| 0.0 | 1863.0 | 63342 | 4.4535 | {'f1': 0.7597195666029317} | {'accuracy': 0.638542665388303} |
| 0.0 | 1864.0 | 63376 | 4.5322 | {'f1': 0.7520927237604637} | {'accuracy': 0.6308724832214765} |
| 0.0 | 1865.0 | 63410 | 4.7348 | {'f1': 0.7434554973821991} | {'accuracy': 0.6241610738255033} |
| 0.0 | 1866.0 | 63444 | 4.7447 | {'f1': 0.7434554973821991} | {'accuracy': 0.6241610738255033} |
| 0.0 | 1867.0 | 63478 | 4.7290 | {'f1': 0.7437908496732025} | {'accuracy': 0.6241610738255033} |
| 0.0003 | 1868.0 | 63512 | 4.7276 | {'f1': 0.7437908496732025} | {'accuracy': 0.6241610738255033} |
| 0.0003 | 1869.0 | 63546 | 4.3453 | {'f1': 0.748870238863783} | {'accuracy': 0.6270373921380633} |
| 0.0003 | 1870.0 | 63580 | 4.1822 | {'f1': 0.7527296082209377} | {'accuracy': 0.6308724832214765} |
| 0.0003 | 1871.0 | 63614 | 4.1872 | {'f1': 0.7527296082209377} | {'accuracy': 0.6308724832214765} |
| 0.0003 | 1872.0 | 63648 | 4.1971 | {'f1': 0.7527296082209377} | {'accuracy': 0.6308724832214765} |
| 0.0003 | 1873.0 | 63682 | 4.2064 | {'f1': 0.7527296082209377} | {'accuracy': 0.6308724832214765} |
| 0.0003 | 1874.0 | 63716 | 4.2163 | {'f1': 0.7527296082209377} | {'accuracy': 0.6308724832214765} |
| 0.0003 | 1875.0 | 63750 | 4.2263 | {'f1': 0.7527296082209377} | {'accuracy': 0.6308724832214765} |
| 0.0003 | 1876.0 | 63784 | 4.2350 | {'f1': 0.7527296082209377} | {'accuracy': 0.6308724832214765} |
| 0.0003 | 1877.0 | 63818 | 4.2038 | {'f1': 0.7579617834394904} | {'accuracy': 0.6356663470757431} |
| 0.0003 | 1878.0 | 63852 | 4.2087 | {'f1': 0.7590591226954863} | {'accuracy': 0.6366251198465963} |
| 0.0003 | 1879.0 | 63886 | 4.2164 | {'f1': 0.7590591226954863} | {'accuracy': 0.6366251198465963} |
| 0.0003 | 1880.0 | 63920 | 4.2241 | {'f1': 0.7590591226954863} | {'accuracy': 0.6366251198465963} |
| 0.0003 | 1881.0 | 63954 | 4.2316 | {'f1': 0.7590591226954863} | {'accuracy': 0.6366251198465963} |
| 0.0003 | 1882.0 | 63988 | 4.2386 | {'f1': 0.7590591226954863} | {'accuracy': 0.6366251198465963} |
| 0.0014 | 1883.0 | 64022 | 4.3296 | {'f1': 0.7459389213775178} | {'accuracy': 0.6251198465963567} |
| 0.0014 | 1884.0 | 64056 | 4.2067 | {'f1': 0.7619047619047619} | {'accuracy': 0.6404602109300096} |
| 0.0014 | 1885.0 | 64090 | 4.2108 | {'f1': 0.7619047619047619} | {'accuracy': 0.6404602109300096} |
| 0.0014 | 1886.0 | 64124 | 4.2173 | {'f1': 0.7619047619047619} | {'accuracy': 0.6404602109300096} |
| 0.0014 | 1887.0 | 64158 | 4.2693 | {'f1': 0.754014129736673} | {'accuracy': 0.6327900287631831} |
| 0.0014 | 1888.0 | 64192 | 4.2872 | {'f1': 0.7512886597938144} | {'accuracy': 0.6299137104506232} |
| 0.0014 | 1889.0 | 64226 | 4.2938 | {'f1': 0.7512886597938144} | {'accuracy': 0.6299137104506232} |
| 0.0014 | 1890.0 | 64260 | 4.2707 | {'f1': 0.7609942638623327} | {'accuracy': 0.6404602109300096} |
| 0.0014 | 1891.0 | 64294 | 4.2667 | {'f1': 0.7603305785123967} | {'accuracy': 0.638542665388303} |
| 0.0014 | 1892.0 | 64328 | 4.2724 | {'f1': 0.7603305785123967} | {'accuracy': 0.638542665388303} |
| 0.0014 | 1893.0 | 64362 | 4.2782 | {'f1': 0.7603305785123967} | {'accuracy': 0.638542665388303} |
| 0.0014 | 1894.0 | 64396 | 4.2849 | {'f1': 0.7603305785123967} | {'accuracy': 0.638542665388303} |
| 0.0014 | 1895.0 | 64430 | 4.2908 | {'f1': 0.7603305785123967} | {'accuracy': 0.638542665388303} |
| 0.0014 | 1896.0 | 64464 | 4.2966 | {'f1': 0.7603305785123967} | {'accuracy': 0.638542665388303} |
| 0.0014 | 1897.0 | 64498 | 4.3020 | {'f1': 0.7603305785123967} | {'accuracy': 0.638542665388303} |
| 0.0011 | 1898.0 | 64532 | 4.3076 | {'f1': 0.7603305785123967} | {'accuracy': 0.638542665388303} |
| 0.0011 | 1899.0 | 64566 | 4.2093 | {'f1': 0.754014129736673} | {'accuracy': 0.6327900287631831} |
| 0.0011 | 1900.0 | 64600 | 4.1992 | {'f1': 0.754014129736673} | {'accuracy': 0.6327900287631831} |
| 0.0011 | 1901.0 | 64634 | 4.2020 | {'f1': 0.754014129736673} | {'accuracy': 0.6327900287631831} |
| 0.0011 | 1902.0 | 64668 | 4.2727 | {'f1': 0.7434895833333333} | {'accuracy': 0.6222435282837967} |
| 0.0011 | 1903.0 | 64702 | 4.3104 | {'f1': 0.7421465968586387} | {'accuracy': 0.6222435282837967} |
| 0.0011 | 1904.0 | 64736 | 4.3148 | {'f1': 0.7421465968586387} | {'accuracy': 0.6222435282837967} |
| 0.0011 | 1905.0 | 64770 | 4.3175 | {'f1': 0.7416612164813604} | {'accuracy': 0.6212847555129435} |
| 0.0011 | 1906.0 | 64804 | 4.3205 | {'f1': 0.7406923579359895} | {'accuracy': 0.6193672099712368} |
| 0.0011 | 1907.0 | 64838 | 4.3244 | {'f1': 0.7406923579359895} | {'accuracy': 0.6193672099712368} |
| 0.0011 | 1908.0 | 64872 | 4.3289 | {'f1': 0.7406923579359895} | {'accuracy': 0.6193672099712368} |
| 0.0011 | 1909.0 | 64906 | 4.1735 | {'f1': 0.7527296082209377} | {'accuracy': 0.6308724832214765} |
| 0.0011 | 1910.0 | 64940 | 4.1701 | {'f1': 0.7527296082209377} | {'accuracy': 0.6308724832214765} |
| 0.0011 | 1911.0 | 64974 | 4.1748 | {'f1': 0.7527296082209377} | {'accuracy': 0.6308724832214765} |
| 0.003 | 1912.0 | 65008 | 4.1801 | {'f1': 0.7527296082209377} | {'accuracy': 0.6308724832214765} |
| 0.003 | 1913.0 | 65042 | 4.1842 | {'f1': 0.7527296082209377} | {'accuracy': 0.6308724832214765} |
| 0.003 | 1914.0 | 65076 | 4.1873 | {'f1': 0.7527296082209377} | {'accuracy': 0.6308724832214765} |
| 0.003 | 1915.0 | 65110 | 4.1919 | {'f1': 0.7527296082209377} | {'accuracy': 0.6308724832214765} |
| 0.003 | 1916.0 | 65144 | 4.1965 | {'f1': 0.7530468248877487} | {'accuracy': 0.6308724832214765} |
| 0.003 | 1917.0 | 65178 | 4.1538 | {'f1': 0.7606349206349207} | {'accuracy': 0.638542665388303} |
| 0.003 | 1918.0 | 65212 | 4.1529 | {'f1': 0.7622067216233355} | {'accuracy': 0.6404602109300096} |
| 0.003 | 1919.0 | 65246 | 4.1572 | {'f1': 0.7622067216233355} | {'accuracy': 0.6404602109300096} |
| 0.003 | 1920.0 | 65280 | 4.1613 | {'f1': 0.7622067216233355} | {'accuracy': 0.6404602109300096} |
| 0.003 | 1921.0 | 65314 | 4.1657 | {'f1': 0.7622067216233355} | {'accuracy': 0.6404602109300096} |
| 0.003 | 1922.0 | 65348 | 4.1699 | {'f1': 0.7622067216233355} | {'accuracy': 0.6404602109300096} |
| 0.003 | 1923.0 | 65382 | 4.1741 | {'f1': 0.7622067216233355} | {'accuracy': 0.6404602109300096} |
| 0.003 | 1924.0 | 65416 | 4.1782 | {'f1': 0.7622067216233355} | {'accuracy': 0.6404602109300096} |
| 0.003 | 1925.0 | 65450 | 4.1822 | {'f1': 0.7622067216233355} | {'accuracy': 0.6404602109300096} |
| 0.003 | 1926.0 | 65484 | 4.1864 | {'f1': 0.7622067216233355} | {'accuracy': 0.6404602109300096} |
| 0.0005 | 1927.0 | 65518 | 4.1903 | {'f1': 0.7622067216233355} | {'accuracy': 0.6404602109300096} |
| 0.0005 | 1928.0 | 65552 | 4.1941 | {'f1': 0.7622067216233355} | {'accuracy': 0.6404602109300096} |
| 0.0005 | 1929.0 | 65586 | 4.2854 | {'f1': 0.7428571428571429} | {'accuracy': 0.6203259827420902} |
| 0.0005 | 1930.0 | 65620 | 4.3345 | {'f1': 0.7403531720078481} | {'accuracy': 0.6193672099712368} |
| 0.0005 | 1931.0 | 65654 | 4.3389 | {'f1': 0.7403531720078481} | {'accuracy': 0.6193672099712368} |
| 0.0005 | 1932.0 | 65688 | 4.3341 | {'f1': 0.7415143603133159} | {'accuracy': 0.6203259827420902} |
| 0.0005 | 1933.0 | 65722 | 4.3377 | {'f1': 0.7415143603133159} | {'accuracy': 0.6203259827420902} |
| 0.0005 | 1934.0 | 65756 | 4.3686 | {'f1': 0.7381578947368422} | {'accuracy': 0.6184084372003835} |
| 0.0005 | 1935.0 | 65790 | 4.3655 | {'f1': 0.7401574803149606} | {'accuracy': 0.6203259827420902} |
| 0.0005 | 1936.0 | 65824 | 4.3681 | {'f1': 0.739672131147541} | {'accuracy': 0.6193672099712368} |
| 0.0005 | 1937.0 | 65858 | 4.3719 | {'f1': 0.739672131147541} | {'accuracy': 0.6193672099712368} |
| 0.0005 | 1938.0 | 65892 | 4.3759 | {'f1': 0.739672131147541} | {'accuracy': 0.6193672099712368} |
| 0.0005 | 1939.0 | 65926 | 4.3068 | {'f1': 0.7446393762183237} | {'accuracy': 0.62320230105465} |
| 0.0005 | 1940.0 | 65960 | 4.2997 | {'f1': 0.7441558441558441} | {'accuracy': 0.6222435282837967} |
| 0.0005 | 1941.0 | 65994 | 4.3030 | {'f1': 0.7441558441558441} | {'accuracy': 0.6222435282837967} |
| 0.0022 | 1942.0 | 66028 | 4.3066 | {'f1': 0.7441558441558441} | {'accuracy': 0.6222435282837967} |
| 0.0022 | 1943.0 | 66062 | 4.3098 | {'f1': 0.743672939649578} | {'accuracy': 0.6212847555129435} |
| 0.0022 | 1944.0 | 66096 | 4.3132 | {'f1': 0.743672939649578} | {'accuracy': 0.6212847555129435} |
| 0.0022 | 1945.0 | 66130 | 4.3166 | {'f1': 0.743672939649578} | {'accuracy': 0.6212847555129435} |
| 0.0022 | 1946.0 | 66164 | 4.3200 | {'f1': 0.743672939649578} | {'accuracy': 0.6212847555129435} |
| 0.0022 | 1947.0 | 66198 | 4.3211 | {'f1': 0.743672939649578} | {'accuracy': 0.6212847555129435} |
| 0.0022 | 1948.0 | 66232 | 4.2686 | {'f1': 0.7479045776918117} | {'accuracy': 0.6251198465963567} |
| 0.0022 | 1949.0 | 66266 | 4.2483 | {'f1': 0.7562380038387715} | {'accuracy': 0.6347075743048898} |
| 0.0022 | 1950.0 | 66300 | 4.2760 | {'f1': 0.7475790832795353} | {'accuracy': 0.6251198465963567} |
| 0.0022 | 1951.0 | 66334 | 4.2784 | {'f1': 0.7479045776918117} | {'accuracy': 0.6251198465963567} |
| 0.0022 | 1952.0 | 66368 | 4.2700 | {'f1': 0.7570332480818414} | {'accuracy': 0.6356663470757431} |
| 0.0022 | 1953.0 | 66402 | 4.2727 | {'f1': 0.7570332480818414} | {'accuracy': 0.6356663470757431} |
| 0.0022 | 1954.0 | 66436 | 4.2756 | {'f1': 0.7570332480818414} | {'accuracy': 0.6356663470757431} |
| 0.0022 | 1955.0 | 66470 | 4.2785 | {'f1': 0.7570332480818414} | {'accuracy': 0.6356663470757431} |
| 0.0007 | 1956.0 | 66504 | 4.2814 | {'f1': 0.7570332480818414} | {'accuracy': 0.6356663470757431} |
| 0.0007 | 1957.0 | 66538 | 4.2842 | {'f1': 0.7570332480818414} | {'accuracy': 0.6356663470757431} |
| 0.0007 | 1958.0 | 66572 | 4.2872 | {'f1': 0.7570332480818414} | {'accuracy': 0.6356663470757431} |
| 0.0007 | 1959.0 | 66606 | 4.1829 | {'f1': 0.758444869343531} | {'accuracy': 0.6366251198465963} |
| 0.0007 | 1960.0 | 66640 | 4.1628 | {'f1': 0.7600254614894972} | {'accuracy': 0.638542665388303} |
| 0.0007 | 1961.0 | 66674 | 4.1632 | {'f1': 0.7623888182973315} | {'accuracy': 0.6414189837008629} |
| 0.0007 | 1962.0 | 66708 | 4.1647 | {'f1': 0.7623888182973315} | {'accuracy': 0.6414189837008629} |
| 0.0007 | 1963.0 | 66742 | 4.1664 | {'f1': 0.7623888182973315} | {'accuracy': 0.6414189837008629} |
| 0.0007 | 1964.0 | 66776 | 4.1682 | {'f1': 0.7623888182973315} | {'accuracy': 0.6414189837008629} |
| 0.0007 | 1965.0 | 66810 | 4.1700 | {'f1': 0.7623888182973315} | {'accuracy': 0.6414189837008629} |
| 0.0007 | 1966.0 | 66844 | 4.1718 | {'f1': 0.7623888182973315} | {'accuracy': 0.6414189837008629} |
| 0.0007 | 1967.0 | 66878 | 4.1922 | {'f1': 0.7570332480818414} | {'accuracy': 0.6356663470757431} |
| 0.0007 | 1968.0 | 66912 | 4.1965 | {'f1': 0.7570332480818414} | {'accuracy': 0.6356663470757431} |
| 0.0007 | 1969.0 | 66946 | 4.1982 | {'f1': 0.7570332480818414} | {'accuracy': 0.6356663470757431} |
| 0.0007 | 1970.0 | 66980 | 4.1999 | {'f1': 0.7570332480818414} | {'accuracy': 0.6356663470757431} |
| 0.0013 | 1971.0 | 67014 | 4.2015 | {'f1': 0.7570332480818414} | {'accuracy': 0.6356663470757431} |
| 0.0013 | 1972.0 | 67048 | 4.2031 | {'f1': 0.7570332480818414} | {'accuracy': 0.6356663470757431} |
| 0.0013 | 1973.0 | 67082 | 4.2046 | {'f1': 0.7570332480818414} | {'accuracy': 0.6356663470757431} |
| 0.0013 | 1974.0 | 67116 | 4.2051 | {'f1': 0.7570332480818414} | {'accuracy': 0.6356663470757431} |
| 0.0013 | 1975.0 | 67150 | 4.2062 | {'f1': 0.7565495207667732} | {'accuracy': 0.6347075743048898} |
| 0.0013 | 1976.0 | 67184 | 4.2076 | {'f1': 0.7565495207667732} | {'accuracy': 0.6347075743048898} |
| 0.0013 | 1977.0 | 67218 | 4.2089 | {'f1': 0.7565495207667732} | {'accuracy': 0.6347075743048898} |
| 0.0013 | 1978.0 | 67252 | 4.2102 | {'f1': 0.7565495207667732} | {'accuracy': 0.6347075743048898} |
| 0.0013 | 1979.0 | 67286 | 4.2115 | {'f1': 0.7565495207667732} | {'accuracy': 0.6347075743048898} |
| 0.0013 | 1980.0 | 67320 | 4.2127 | {'f1': 0.7565495207667732} | {'accuracy': 0.6347075743048898} |
| 0.0013 | 1981.0 | 67354 | 4.2139 | {'f1': 0.7565495207667732} | {'accuracy': 0.6347075743048898} |
| 0.0013 | 1982.0 | 67388 | 4.2151 | {'f1': 0.7565495207667732} | {'accuracy': 0.6347075743048898} |
| 0.0013 | 1983.0 | 67422 | 4.2162 | {'f1': 0.7565495207667732} | {'accuracy': 0.6347075743048898} |
| 0.0013 | 1984.0 | 67456 | 4.2172 | {'f1': 0.7565495207667732} | {'accuracy': 0.6347075743048898} |
| 0.0013 | 1985.0 | 67490 | 4.2181 | {'f1': 0.7565495207667732} | {'accuracy': 0.6347075743048898} |
| 0.0 | 1986.0 | 67524 | 4.2191 | {'f1': 0.7565495207667732} | {'accuracy': 0.6347075743048898} |
| 0.0 | 1987.0 | 67558 | 4.2199 | {'f1': 0.7565495207667732} | {'accuracy': 0.6347075743048898} |
| 0.0 | 1988.0 | 67592 | 4.2208 | {'f1': 0.7565495207667732} | {'accuracy': 0.6347075743048898} |
| 0.0 | 1989.0 | 67626 | 4.2215 | {'f1': 0.7565495207667732} | {'accuracy': 0.6347075743048898} |
| 0.0 | 1990.0 | 67660 | 4.2223 | {'f1': 0.7565495207667732} | {'accuracy': 0.6347075743048898} |
| 0.0 | 1991.0 | 67694 | 4.2230 | {'f1': 0.7565495207667732} | {'accuracy': 0.6347075743048898} |
| 0.0 | 1992.0 | 67728 | 4.2236 | {'f1': 0.7565495207667732} | {'accuracy': 0.6347075743048898} |
| 0.0 | 1993.0 | 67762 | 4.2242 | {'f1': 0.7565495207667732} | {'accuracy': 0.6347075743048898} |
| 0.0 | 1994.0 | 67796 | 4.2246 | {'f1': 0.7565495207667732} | {'accuracy': 0.6347075743048898} |
| 0.0 | 1995.0 | 67830 | 4.2250 | {'f1': 0.7565495207667732} | {'accuracy': 0.6347075743048898} |
| 0.0 | 1996.0 | 67864 | 4.2254 | {'f1': 0.7565495207667732} | {'accuracy': 0.6347075743048898} |
| 0.0 | 1997.0 | 67898 | 4.2256 | {'f1': 0.7565495207667732} | {'accuracy': 0.6347075743048898} |
| 0.0 | 1998.0 | 67932 | 4.2258 | {'f1': 0.7565495207667732} | {'accuracy': 0.6347075743048898} |
| 0.0 | 1999.0 | 67966 | 4.2260 | {'f1': 0.7565495207667732} | {'accuracy': 0.6347075743048898} |
| 0.0 | 2000.0 | 68000 | 4.2260 | {'f1': 0.7565495207667732} | {'accuracy': 0.6347075743048898} |
### Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
|