Downloads · 30 days
0
bert-base-uncased-test_16_107
kwwww/bert-base-uncased-test_16_107
bert-base-uncased-test_16_107 is a machine learning model from kwwww. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
Access
Public
Updated Oct 15, 2023
Repo size
881 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin440 MB · 100%
At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Oct 15, 2023
- Updated
- Oct 15, 2023
- SHA
- 67f61ae7
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
bert-base-uncased-test_16_107
This model is a fine-tuned version of bert-base-uncased on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 4.8422
- F1: {'f1': 0.8146370725854829}
- Accuracy: {'accuracy': 0.7037392138063279}
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 | 7 | 0.6308 | {'f1': 0.8072009291521488} | {'accuracy': 0.6816874400767018} |
| No log | 2.0 | 14 | 0.6722 | {'f1': 0.8186469584991471} | {'accuracy': 0.6941514860977949} |
| No log | 3.0 | 21 | 0.6415 | {'f1': 0.8111239860950175} | {'accuracy': 0.6874400767018217} |
| No log | 4.0 | 28 | 0.8090 | {'f1': 0.7658755612572161} | {'accuracy': 0.6500479386385427} |
| No log | 5.0 | 35 | 1.2079 | {'f1': 0.810244470314319} | {'accuracy': 0.6874400767018217} |
| No log | 6.0 | 42 | 1.3409 | {'f1': 0.8104956268221575} | {'accuracy': 0.6883988494726749} |
| No log | 7.0 | 49 | 1.1925 | {'f1': 0.7536813922356091} | {'accuracy': 0.6471716203259827} |
| No log | 8.0 | 56 | 1.5031 | {'f1': 0.8132930513595167} | {'accuracy': 0.7037392138063279} |
| No log | 9.0 | 63 | 1.6535 | {'f1': 0.810126582278481} | {'accuracy': 0.697986577181208} |
| No log | 10.0 | 70 | 1.8059 | {'f1': 0.7947598253275109} | {'accuracy': 0.6845637583892618} |
| No log | 11.0 | 77 | 2.1412 | {'f1': 0.7772087067861716} | {'accuracy': 0.6663470757430489} |
| No log | 12.0 | 84 | 2.5238 | {'f1': 0.8089887640449438} | {'accuracy': 0.6903163950143816} |
| No log | 13.0 | 91 | 2.0715 | {'f1': 0.764} | {'accuracy': 0.660594439117929} |
| No log | 14.0 | 98 | 2.2280 | {'f1': 0.7985392574558734} | {'accuracy': 0.6826462128475551} |
| No log | 15.0 | 105 | 2.1952 | {'f1': 0.7785577536694321} | {'accuracy': 0.6673058485139022} |
| No log | 16.0 | 112 | 2.5146 | {'f1': 0.8098303101228789} | {'accuracy': 0.6883988494726749} |
| No log | 17.0 | 119 | 2.4347 | {'f1': 0.7007407407407408} | {'accuracy': 0.6126558005752637} |
| No log | 18.0 | 126 | 2.3472 | {'f1': 0.8197674418604651} | {'accuracy': 0.7027804410354745} |
| No log | 19.0 | 133 | 1.6770 | {'f1': 0.7657597876575978} | {'accuracy': 0.6615532118887824} |
| No log | 20.0 | 140 | 1.9552 | {'f1': 0.8014616321559075} | {'accuracy': 0.6874400767018217} |
| No log | 21.0 | 147 | 2.0672 | {'f1': 0.7898326100433974} | {'accuracy': 0.6749760306807286} |
| No log | 22.0 | 154 | 2.1661 | {'f1': 0.7518493611297916} | {'accuracy': 0.6462128475551294} |
| No log | 23.0 | 161 | 2.2302 | {'f1': 0.7783439490445861} | {'accuracy': 0.6663470757430489} |
| No log | 24.0 | 168 | 2.2864 | {'f1': 0.7772756617172369} | {'accuracy': 0.6692233940556088} |
| No log | 25.0 | 175 | 2.3895 | {'f1': 0.7693315858453472} | {'accuracy': 0.6625119846596357} |
| No log | 26.0 | 182 | 2.7993 | {'f1': 0.8086600351082504} | {'accuracy': 0.6864813039309684} |
| No log | 27.0 | 189 | 2.4181 | {'f1': 0.795525170913611} | {'accuracy': 0.6845637583892618} |
| No log | 28.0 | 196 | 2.2662 | {'f1': 0.7619680851063829} | {'accuracy': 0.6567593480345159} |
| No log | 29.0 | 203 | 2.2569 | {'f1': 0.773142112125163} | {'accuracy': 0.6663470757430489} |
| No log | 30.0 | 210 | 2.3350 | {'f1': 0.7945034353529045} | {'accuracy': 0.6845637583892618} |
| No log | 31.0 | 217 | 2.4660 | {'f1': 0.8004851425106124} | {'accuracy': 0.6845637583892618} |
| No log | 32.0 | 224 | 2.5017 | {'f1': 0.7999999999999999} | {'accuracy': 0.6836049856184084} |
| No log | 33.0 | 231 | 2.4327 | {'f1': 0.7857596948506039} | {'accuracy': 0.6768935762224353} |
| No log | 34.0 | 238 | 2.4516 | {'f1': 0.7729342875731946} | {'accuracy': 0.6653883029721956} |
| No log | 35.0 | 245 | 2.4851 | {'f1': 0.7725490196078432} | {'accuracy': 0.6663470757430489} |
| No log | 36.0 | 252 | 2.5146 | {'f1': 0.7751134154244976} | {'accuracy': 0.6673058485139022} |
| No log | 37.0 | 259 | 2.6614 | {'f1': 0.8055893074119077} | {'accuracy': 0.6931927133269415} |
| No log | 38.0 | 266 | 2.7001 | {'f1': 0.7345505617977527} | {'accuracy': 0.6375838926174496} |
| No log | 39.0 | 273 | 2.6794 | {'f1': 0.7286713286713286} | {'accuracy': 0.6279961649089166} |
| No log | 40.0 | 280 | 2.6036 | {'f1': 0.7627230667547917} | {'accuracy': 0.6558005752636625} |
| No log | 41.0 | 287 | 2.5850 | {'f1': 0.7849393746011487} | {'accuracy': 0.6768935762224353} |
| No log | 42.0 | 294 | 2.5937 | {'f1': 0.7893738140417458} | {'accuracy': 0.6807286673058485} |
| No log | 43.0 | 301 | 2.6086 | {'f1': 0.7949843260188089} | {'accuracy': 0.6864813039309684} |
| No log | 44.0 | 308 | 2.6312 | {'f1': 0.7952706907280648} | {'accuracy': 0.6845637583892618} |
| No log | 45.0 | 315 | 2.6497 | {'f1': 0.795765877957659} | {'accuracy': 0.6855225311601151} |
| No log | 46.0 | 322 | 2.6657 | {'f1': 0.7929736511919698} | {'accuracy': 0.6836049856184084} |
| No log | 47.0 | 329 | 2.6802 | {'f1': 0.7916928886091882} | {'accuracy': 0.6826462128475551} |
| No log | 48.0 | 336 | 2.6926 | {'f1': 0.7901701323251417} | {'accuracy': 0.6807286673058485} |
| No log | 49.0 | 343 | 2.7032 | {'f1': 0.7901701323251417} | {'accuracy': 0.6807286673058485} |
| No log | 50.0 | 350 | 2.7119 | {'f1': 0.7909319899244333} | {'accuracy': 0.6816874400767018} |
| No log | 51.0 | 357 | 2.7591 | {'f1': 0.7627906976744185} | {'accuracy': 0.6577181208053692} |
| No log | 52.0 | 364 | 2.6638 | {'f1': 0.7969543147208121} | {'accuracy': 0.6931927133269415} |
| No log | 53.0 | 371 | 2.7258 | {'f1': 0.8111718275652702} | {'accuracy': 0.7018216682646213} |
| No log | 54.0 | 378 | 2.5491 | {'f1': 0.7729403884795712} | {'accuracy': 0.6749760306807286} |
| No log | 55.0 | 385 | 2.8775 | {'f1': 0.8193883439122909} | {'accuracy': 0.6999041227229147} |
| No log | 56.0 | 392 | 2.0953 | {'f1': 0.7896070975918885} | {'accuracy': 0.6816874400767018} |
| No log | 57.0 | 399 | 1.7301 | {'f1': 0.8012578616352202} | {'accuracy': 0.6970278044103547} |
| No log | 58.0 | 406 | 1.7765 | {'f1': 0.8147254073627037} | {'accuracy': 0.7056567593480345} |
| No log | 59.0 | 413 | 1.6425 | {'f1': 0.7984445884640311} | {'accuracy': 0.7018216682646213} |
| No log | 60.0 | 420 | 1.8722 | {'f1': 0.8066368857689854} | {'accuracy': 0.7094918504314478} |
| No log | 61.0 | 427 | 2.3662 | {'f1': 0.8167664670658682} | {'accuracy': 0.7066155321188878} |
| No log | 62.0 | 434 | 2.3583 | {'f1': 0.8107448107448108} | {'accuracy': 0.7027804410354745} |
| No log | 63.0 | 441 | 2.3069 | {'f1': 0.8052763819095478} | {'accuracy': 0.7027804410354745} |
| No log | 64.0 | 448 | 2.3409 | {'f1': 0.802555910543131} | {'accuracy': 0.7037392138063279} |
| No log | 65.0 | 455 | 2.4041 | {'f1': 0.8038216560509553} | {'accuracy': 0.7046979865771812} |
| No log | 66.0 | 462 | 2.4409 | {'f1': 0.8038095238095239} | {'accuracy': 0.7037392138063279} |
| No log | 67.0 | 469 | 2.4650 | {'f1': 0.8048162230671737} | {'accuracy': 0.7046979865771812} |
| No log | 68.0 | 476 | 2.4834 | {'f1': 0.8045540796963947} | {'accuracy': 0.7037392138063279} |
| No log | 69.0 | 483 | 2.5166 | {'f1': 0.8017621145374451} | {'accuracy': 0.697986577181208} |
| No log | 70.0 | 490 | 2.5793 | {'f1': 0.8046971569839309} | {'accuracy': 0.6970278044103547} |
| No log | 71.0 | 497 | 2.4983 | {'f1': 0.806045340050378} | {'accuracy': 0.7046979865771812} |
| 0.054 | 72.0 | 504 | 2.4453 | {'f1': 0.8077170418006431} | {'accuracy': 0.713326941514861} |
| 0.054 | 73.0 | 511 | 2.4421 | {'f1': 0.8044184535412605} | {'accuracy': 0.7114093959731543} |
| 0.054 | 74.0 | 518 | 2.4477 | {'f1': 0.8013071895424836} | {'accuracy': 0.7085330776605945} |
| 0.054 | 75.0 | 525 | 2.5000 | {'f1': 0.8095537397862981} | {'accuracy': 0.7094918504314478} |
| 0.054 | 76.0 | 532 | 2.5767 | {'f1': 0.8113790970933827} | {'accuracy': 0.7075743048897412} |
| 0.054 | 77.0 | 539 | 2.6187 | {'f1': 0.8120393120393121} | {'accuracy': 0.7066155321188878} |
| 0.054 | 78.0 | 546 | 2.6423 | {'f1': 0.8129981606376455} | {'accuracy': 0.7075743048897412} |
| 0.054 | 79.0 | 553 | 2.6559 | {'f1': 0.814451928965095} | {'accuracy': 0.7094918504314478} |
| 0.054 | 80.0 | 560 | 2.6642 | {'f1': 0.814451928965095} | {'accuracy': 0.7094918504314478} |
| 0.054 | 81.0 | 567 | 2.6704 | {'f1': 0.814451928965095} | {'accuracy': 0.7094918504314478} |
| 0.054 | 82.0 | 574 | 2.6752 | {'f1': 0.814451928965095} | {'accuracy': 0.7094918504314478} |
| 0.054 | 83.0 | 581 | 2.6794 | {'f1': 0.814451928965095} | {'accuracy': 0.7094918504314478} |
| 0.054 | 84.0 | 588 | 2.6837 | {'f1': 0.814451928965095} | {'accuracy': 0.7094918504314478} |
| 0.054 | 85.0 | 595 | 2.6456 | {'f1': 0.8121137206427689} | {'accuracy': 0.7085330776605945} |
| 0.054 | 86.0 | 602 | 2.6218 | {'f1': 0.8099688473520249} | {'accuracy': 0.7075743048897412} |
| 0.054 | 87.0 | 609 | 2.6126 | {'f1': 0.81} | {'accuracy': 0.7085330776605945} |
| 0.054 | 88.0 | 616 | 2.6105 | {'f1': 0.8107769423558898} | {'accuracy': 0.710450623202301} |
| 0.054 | 89.0 | 623 | 2.6131 | {'f1': 0.8097928436911487} | {'accuracy': 0.7094918504314478} |
| 0.054 | 90.0 | 630 | 2.6170 | {'f1': 0.8097928436911487} | {'accuracy': 0.7094918504314478} |
| 0.054 | 91.0 | 637 | 2.6215 | {'f1': 0.8103015075376885} | {'accuracy': 0.710450623202301} |
| 0.054 | 92.0 | 644 | 2.6261 | {'f1': 0.8103015075376885} | {'accuracy': 0.710450623202301} |
| 0.054 | 93.0 | 651 | 2.6308 | {'f1': 0.8103015075376885} | {'accuracy': 0.710450623202301} |
| 0.054 | 94.0 | 658 | 2.6357 | {'f1': 0.8097928436911487} | {'accuracy': 0.7094918504314478} |
| 0.054 | 95.0 | 665 | 2.6404 | {'f1': 0.8105395232120451} | {'accuracy': 0.710450623202301} |
| 0.054 | 96.0 | 672 | 2.6450 | {'f1': 0.8105395232120451} | {'accuracy': 0.710450623202301} |
| 0.054 | 97.0 | 679 | 2.6494 | {'f1': 0.8105395232120451} | {'accuracy': 0.710450623202301} |
| 0.054 | 98.0 | 686 | 2.6534 | {'f1': 0.8105395232120451} | {'accuracy': 0.710450623202301} |
| 0.054 | 99.0 | 693 | 2.6576 | {'f1': 0.8105395232120451} | {'accuracy': 0.710450623202301} |
| 0.054 | 100.0 | 700 | 2.6620 | {'f1': 0.8107769423558898} | {'accuracy': 0.710450623202301} |
| 0.054 | 101.0 | 707 | 2.6660 | {'f1': 0.8107769423558898} | {'accuracy': 0.710450623202301} |
| 0.054 | 102.0 | 714 | 2.6706 | {'f1': 0.8107769423558898} | {'accuracy': 0.710450623202301} |
| 0.054 | 103.0 | 721 | 2.6749 | {'f1': 0.8102692548528492} | {'accuracy': 0.7094918504314478} |
| 0.054 | 104.0 | 728 | 2.6794 | {'f1': 0.8097622027534418} | {'accuracy': 0.7085330776605945} |
| 0.054 | 105.0 | 735 | 2.6841 | {'f1': 0.8097622027534418} | {'accuracy': 0.7085330776605945} |
| 0.054 | 106.0 | 742 | 2.6889 | {'f1': 0.8097622027534418} | {'accuracy': 0.7085330776605945} |
| 0.054 | 107.0 | 749 | 2.6928 | {'f1': 0.8097622027534418} | {'accuracy': 0.7085330776605945} |
| 0.054 | 108.0 | 756 | 2.7015 | {'f1': 0.8105065666041276} | {'accuracy': 0.7094918504314478} |
| 0.054 | 109.0 | 763 | 2.7076 | {'f1': 0.81} | {'accuracy': 0.7085330776605945} |
| 0.054 | 110.0 | 770 | 2.7125 | {'f1': 0.81} | {'accuracy': 0.7085330776605945} |
| 0.054 | 111.0 | 777 | 2.7169 | {'f1': 0.81} | {'accuracy': 0.7085330776605945} |
| 0.054 | 112.0 | 784 | 2.7207 | {'f1': 0.81} | {'accuracy': 0.7085330776605945} |
| 0.054 | 113.0 | 791 | 2.7242 | {'f1': 0.81} | {'accuracy': 0.7085330776605945} |
| 0.054 | 114.0 | 798 | 2.7278 | {'f1': 0.81} | {'accuracy': 0.7085330776605945} |
| 0.054 | 115.0 | 805 | 2.7315 | {'f1': 0.81} | {'accuracy': 0.7085330776605945} |
| 0.054 | 116.0 | 812 | 2.7356 | {'f1': 0.8094940662086196} | {'accuracy': 0.7075743048897412} |
| 0.054 | 117.0 | 819 | 2.7398 | {'f1': 0.8094940662086196} | {'accuracy': 0.7075743048897412} |
| 0.054 | 118.0 | 826 | 2.7439 | {'f1': 0.8094940662086196} | {'accuracy': 0.7075743048897412} |
| 0.054 | 119.0 | 833 | 2.7477 | {'f1': 0.8089887640449438} | {'accuracy': 0.7066155321188878} |
| 0.054 | 120.0 | 840 | 2.7516 | {'f1': 0.8089887640449438} | {'accuracy': 0.7066155321188878} |
| 0.054 | 121.0 | 847 | 2.7549 | {'f1': 0.8089887640449438} | {'accuracy': 0.7066155321188878} |
| 0.054 | 122.0 | 854 | 2.7587 | {'f1': 0.8089887640449438} | {'accuracy': 0.7066155321188878} |
| 0.054 | 123.0 | 861 | 2.7645 | {'f1': 0.8089887640449438} | {'accuracy': 0.7066155321188878} |
| 0.054 | 124.0 | 868 | 2.7735 | {'f1': 0.8092269326683292} | {'accuracy': 0.7066155321188878} |
| 0.054 | 125.0 | 875 | 2.7812 | {'f1': 0.8092269326683292} | {'accuracy': 0.7066155321188878} |
| 0.054 | 126.0 | 882 | 2.7944 | {'f1': 0.8089607965152458} | {'accuracy': 0.7056567593480345} |
| 0.054 | 127.0 | 889 | 2.8023 | {'f1': 0.8079552517091361} | {'accuracy': 0.7037392138063279} |
| 0.054 | 128.0 | 896 | 2.8077 | {'f1': 0.8086956521739131} | {'accuracy': 0.7046979865771812} |
| 0.054 | 129.0 | 903 | 2.8116 | {'f1': 0.8086956521739131} | {'accuracy': 0.7046979865771812} |
| 0.054 | 130.0 | 910 | 2.8152 | {'f1': 0.8086956521739131} | {'accuracy': 0.7046979865771812} |
| 0.054 | 131.0 | 917 | 2.8183 | {'f1': 0.8086956521739131} | {'accuracy': 0.7046979865771812} |
| 0.054 | 132.0 | 924 | 2.8213 | {'f1': 0.8094351334574797} | {'accuracy': 0.7056567593480345} |
| 0.054 | 133.0 | 931 | 2.8245 | {'f1': 0.8094351334574797} | {'accuracy': 0.7056567593480345} |
| 0.054 | 134.0 | 938 | 2.8278 | {'f1': 0.8094351334574797} | {'accuracy': 0.7056567593480345} |
| 0.054 | 135.0 | 945 | 2.8313 | {'f1': 0.8094351334574797} | {'accuracy': 0.7056567593480345} |
| 0.054 | 136.0 | 952 | 2.8345 | {'f1': 0.8094351334574797} | {'accuracy': 0.7056567593480345} |
| 0.054 | 137.0 | 959 | 2.8375 | {'f1': 0.8094351334574797} | {'accuracy': 0.7056567593480345} |
| 0.054 | 138.0 | 966 | 2.8408 | {'f1': 0.8094351334574797} | {'accuracy': 0.7056567593480345} |
| 0.054 | 139.0 | 973 | 2.8438 | {'f1': 0.8094351334574797} | {'accuracy': 0.7056567593480345} |
| 0.054 | 140.0 | 980 | 2.8466 | {'f1': 0.8094351334574797} | {'accuracy': 0.7056567593480345} |
| 0.054 | 141.0 | 987 | 2.8492 | {'f1': 0.8094351334574797} | {'accuracy': 0.7056567593480345} |
| 0.054 | 142.0 | 994 | 2.8519 | {'f1': 0.8089330024813897} | {'accuracy': 0.7046979865771812} |
| 0.0 | 143.0 | 1001 | 2.8546 | {'f1': 0.8096714197148172} | {'accuracy': 0.7056567593480345} |
| 0.0 | 144.0 | 1008 | 2.8573 | {'f1': 0.8096714197148172} | {'accuracy': 0.7056567593480345} |
| 0.0 | 145.0 | 1015 | 2.8600 | {'f1': 0.8096714197148172} | {'accuracy': 0.7056567593480345} |
| 0.0 | 146.0 | 1022 | 3.0634 | {'f1': 0.7519884309472161} | {'accuracy': 0.6711409395973155} |
| 0.0 | 147.0 | 1029 | 2.6447 | {'f1': 0.81} | {'accuracy': 0.7085330776605945} |
| 0.0 | 148.0 | 1036 | 2.8889 | {'f1': 0.8230452674897119} | {'accuracy': 0.7114093959731543} |
| 0.0 | 149.0 | 1043 | 2.1697 | {'f1': 0.8131720430107527} | {'accuracy': 0.7334611697027804} |
| 0.0 | 150.0 | 1050 | 2.1318 | {'f1': 0.8240291262135921} | {'accuracy': 0.7219558964525408} |
| 0.0 | 151.0 | 1057 | 1.4035 | {'f1': 0.8054474708171206} | {'accuracy': 0.7123681687440077} |
| 0.0 | 152.0 | 1064 | 1.6932 | {'f1': 0.8216216216216216} | {'accuracy': 0.7152444870565676} |
| 0.0 | 153.0 | 1071 | 1.9637 | {'f1': 0.737294201861131} | {'accuracy': 0.6481303930968361} |
| 0.0 | 154.0 | 1078 | 2.5085 | {'f1': 0.8169668797210924} | {'accuracy': 0.697986577181208} |
| 0.0 | 155.0 | 1085 | 2.1312 | {'f1': 0.7906976744186046} | {'accuracy': 0.6807286673058485} |
| 0.0 | 156.0 | 1092 | 1.6788 | {'f1': 0.7508350033400133} | {'accuracy': 0.6423777564717162} |
| 0.0 | 157.0 | 1099 | 1.6363 | {'f1': 0.8164196123147092} | {'accuracy': 0.6912751677852349} |
| 0.0 | 158.0 | 1106 | 1.7953 | {'f1': 0.803921568627451} | {'accuracy': 0.6931927133269415} |
| 0.0 | 159.0 | 1113 | 2.7819 | {'f1': 0.6291946308724833} | {'accuracy': 0.576222435282838} |
| 0.0 | 160.0 | 1120 | 2.6308 | {'f1': 0.8154111558366878} | {'accuracy': 0.6922339405560882} |
| 0.0 | 161.0 | 1127 | 1.8606 | {'f1': 0.7402777777777777} | {'accuracy': 0.6414189837008629} |
| 0.0 | 162.0 | 1134 | 1.9468 | {'f1': 0.8004910988336403} | {'accuracy': 0.6883988494726749} |
| 0.0 | 163.0 | 1141 | 2.0791 | {'f1': 0.7952261306532664} | {'accuracy': 0.6874400767018217} |
| 0.0 | 164.0 | 1148 | 2.3288 | {'f1': 0.8084592145015107} | {'accuracy': 0.6960690316395014} |
| 0.0 | 165.0 | 1155 | 2.3496 | {'f1': 0.7272727272727273} | {'accuracy': 0.6375838926174496} |
| 0.0 | 166.0 | 1162 | 2.2841 | {'f1': 0.8012195121951221} | {'accuracy': 0.6874400767018217} |
| 0.0 | 167.0 | 1169 | 2.3575 | {'f1': 0.8014660965180209} | {'accuracy': 0.6883988494726749} |
| 0.0 | 168.0 | 1176 | 2.2772 | {'f1': 0.7770700636942676} | {'accuracy': 0.6644295302013423} |
| 0.0 | 169.0 | 1183 | 2.1862 | {'f1': 0.7342123525329632} | {'accuracy': 0.6327900287631831} |
| 0.0 | 170.0 | 1190 | 2.3155 | {'f1': 0.7983293556085919} | {'accuracy': 0.675934803451582} |
| 0.0 | 171.0 | 1197 | 2.1466 | {'f1': 0.7573726541554959} | {'accuracy': 0.6529242569511026} |
| 0.0 | 172.0 | 1204 | 2.3600 | {'f1': 0.8057901085645357} | {'accuracy': 0.6912751677852349} |
| 0.0 | 173.0 | 1211 | 2.3084 | {'f1': 0.796558082360172} | {'accuracy': 0.6826462128475551} |
| 0.0 | 174.0 | 1218 | 1.8462 | {'f1': 0.7369155617585484} | {'accuracy': 0.638542665388303} |
| 0.0 | 175.0 | 1225 | 1.6526 | {'f1': 0.7948874010955569} | {'accuracy': 0.6768935762224353} |
| 0.0 | 176.0 | 1232 | 1.7791 | {'f1': 0.7613412228796844} | {'accuracy': 0.6519654841802492} |
| 0.0 | 177.0 | 1239 | 2.3374 | {'f1': 0.7914893617021277} | {'accuracy': 0.6711409395973155} |
| 0.0 | 178.0 | 1246 | 2.9717 | {'f1': 0.8158803222094362} | {'accuracy': 0.6931927133269415} |
| 0.0 | 179.0 | 1253 | 3.0262 | {'f1': 0.7995198079231692} | {'accuracy': 0.6797698945349953} |
| 0.0 | 180.0 | 1260 | 2.8010 | {'f1': 0.7811271297509829} | {'accuracy': 0.6797698945349953} |
| 0.0 | 181.0 | 1267 | 2.8533 | {'f1': 0.7992471769134253} | {'accuracy': 0.6931927133269415} |
| 0.0 | 182.0 | 1274 | 3.0398 | {'f1': 0.8107462686567165} | {'accuracy': 0.6960690316395014} |
| 0.0 | 183.0 | 1281 | 2.7426 | {'f1': 0.7588555858310626} | {'accuracy': 0.660594439117929} |
| 0.0 | 184.0 | 1288 | 2.6932 | {'f1': 0.7929292929292929} | {'accuracy': 0.6855225311601151} |
| 0.0 | 185.0 | 1295 | 2.8641 | {'f1': 0.8174322732626619} | {'accuracy': 0.7027804410354745} |
| 0.0 | 186.0 | 1302 | 2.4881 | {'f1': 0.8031882280809319} | {'accuracy': 0.6922339405560882} |
| 0.0 | 187.0 | 1309 | 2.1634 | {'f1': 0.7731755424063116} | {'accuracy': 0.6692233940556088} |
| 0.0 | 188.0 | 1316 | 2.1238 | {'f1': 0.7844660194174757} | {'accuracy': 0.6807286673058485} |
| 0.0 | 189.0 | 1323 | 2.5103 | {'f1': 0.8187683284457478} | {'accuracy': 0.7037392138063279} |
| 0.0 | 190.0 | 1330 | 1.9588 | {'f1': 0.807906114885732} | {'accuracy': 0.7018216682646213} |
| 0.0 | 191.0 | 1337 | 1.9148 | {'f1': 0.7457386363636365} | {'accuracy': 0.6567593480345159} |
| 0.0 | 192.0 | 1344 | 2.0834 | {'f1': 0.7932598833441349} | {'accuracy': 0.6941514860977949} |
| 0.0 | 193.0 | 1351 | 2.5040 | {'f1': 0.8147254073627037} | {'accuracy': 0.7056567593480345} |
| 0.0 | 194.0 | 1358 | 2.7472 | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0 | 195.0 | 1365 | 2.8609 | {'f1': 0.8167848699763594} | {'accuracy': 0.7027804410354745} |
| 0.0 | 196.0 | 1372 | 2.9193 | {'f1': 0.8190925162050677} | {'accuracy': 0.7056567593480345} |
| 0.0 | 197.0 | 1379 | 2.9513 | {'f1': 0.8200000000000001} | {'accuracy': 0.7066155321188878} |
| 0.0 | 198.0 | 1386 | 2.9704 | {'f1': 0.8200000000000001} | {'accuracy': 0.7066155321188878} |
| 0.0 | 199.0 | 1393 | 2.9722 | {'f1': 0.8188790560471976} | {'accuracy': 0.7056567593480345} |
| 0.0 | 200.0 | 1400 | 2.9725 | {'f1': 0.8172678888231816} | {'accuracy': 0.7037392138063279} |
| 0.0 | 201.0 | 1407 | 2.9771 | {'f1': 0.817751479289941} | {'accuracy': 0.7046979865771812} |
| 0.0 | 202.0 | 1414 | 2.9824 | {'f1': 0.8168346176644932} | {'accuracy': 0.7037392138063279} |
| 0.0 | 203.0 | 1421 | 2.9881 | {'f1': 0.8161328588374852} | {'accuracy': 0.7027804410354745} |
| 0.0 | 204.0 | 1428 | 2.9944 | {'f1': 0.8161328588374852} | {'accuracy': 0.7027804410354745} |
| 0.0 | 205.0 | 1435 | 3.0004 | {'f1': 0.8161328588374852} | {'accuracy': 0.7027804410354745} |
| 0.0 | 206.0 | 1442 | 3.0061 | {'f1': 0.8154302670623145} | {'accuracy': 0.7018216682646213} |
| 0.0 | 207.0 | 1449 | 3.0114 | {'f1': 0.8154302670623145} | {'accuracy': 0.7018216682646213} |
| 0.0 | 208.0 | 1456 | 3.0170 | {'f1': 0.8147268408551069} | {'accuracy': 0.700862895493768} |
| 0.0 | 209.0 | 1463 | 3.0225 | {'f1': 0.814022578728461} | {'accuracy': 0.6999041227229147} |
| 0.0 | 210.0 | 1470 | 3.0276 | {'f1': 0.814022578728461} | {'accuracy': 0.6999041227229147} |
| 0.0 | 211.0 | 1477 | 3.0328 | {'f1': 0.814022578728461} | {'accuracy': 0.6999041227229147} |
| 0.0 | 212.0 | 1484 | 3.0372 | {'f1': 0.814022578728461} | {'accuracy': 0.6999041227229147} |
| 0.0 | 213.0 | 1491 | 3.0415 | {'f1': 0.814022578728461} | {'accuracy': 0.6999041227229147} |
| 0.0 | 214.0 | 1498 | 3.0459 | {'f1': 0.814022578728461} | {'accuracy': 0.6999041227229147} |
| 0.0348 | 215.0 | 1505 | 3.0503 | {'f1': 0.814022578728461} | {'accuracy': 0.6999041227229147} |
| 0.0348 | 216.0 | 1512 | 3.0547 | {'f1': 0.814022578728461} | {'accuracy': 0.6999041227229147} |
| 0.0348 | 217.0 | 1519 | 3.0589 | {'f1': 0.814022578728461} | {'accuracy': 0.6999041227229147} |
| 0.0348 | 218.0 | 1526 | 3.0631 | {'f1': 0.814022578728461} | {'accuracy': 0.6999041227229147} |
| 0.0348 | 219.0 | 1533 | 3.0672 | {'f1': 0.8133174791914387} | {'accuracy': 0.6989453499520614} |
| 0.0348 | 220.0 | 1540 | 3.0714 | {'f1': 0.8138013087447948} | {'accuracy': 0.6999041227229147} |
| 0.0348 | 221.0 | 1547 | 3.0755 | {'f1': 0.8138013087447948} | {'accuracy': 0.6999041227229147} |
| 0.0348 | 222.0 | 1554 | 3.0797 | {'f1': 0.8130952380952382} | {'accuracy': 0.6989453499520614} |
| 0.0348 | 223.0 | 1561 | 3.0837 | {'f1': 0.8130952380952382} | {'accuracy': 0.6989453499520614} |
| 0.0348 | 224.0 | 1568 | 3.0875 | {'f1': 0.8130952380952382} | {'accuracy': 0.6989453499520614} |
| 0.0348 | 225.0 | 1575 | 3.0916 | {'f1': 0.8130952380952382} | {'accuracy': 0.6989453499520614} |
| 0.0348 | 226.0 | 1582 | 3.0955 | {'f1': 0.8130952380952382} | {'accuracy': 0.6989453499520614} |
| 0.0348 | 227.0 | 1589 | 3.0994 | {'f1': 0.8130952380952382} | {'accuracy': 0.6989453499520614} |
| 0.0348 | 228.0 | 1596 | 3.0427 | {'f1': 0.815347721822542} | {'accuracy': 0.7046979865771812} |
| 0.0348 | 229.0 | 1603 | 3.0085 | {'f1': 0.8164251207729468} | {'accuracy': 0.7085330776605945} |
| 0.0348 | 230.0 | 1610 | 2.9944 | {'f1': 0.8138265615524559} | {'accuracy': 0.7056567593480345} |
| 0.0348 | 231.0 | 1617 | 2.9894 | {'f1': 0.8143203883495146} | {'accuracy': 0.7066155321188878} |
| 0.0348 | 232.0 | 1624 | 2.9885 | {'f1': 0.8140947752126367} | {'accuracy': 0.7066155321188878} |
| 0.0348 | 233.0 | 1631 | 2.9895 | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348 | 234.0 | 1638 | 2.9914 | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348 | 235.0 | 1645 | 2.9938 | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348 | 236.0 | 1652 | 2.9962 | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348 | 237.0 | 1659 | 2.9988 | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348 | 238.0 | 1666 | 3.0014 | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348 | 239.0 | 1673 | 3.0041 | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348 | 240.0 | 1680 | 3.0068 | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348 | 241.0 | 1687 | 3.0094 | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348 | 242.0 | 1694 | 3.0121 | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348 | 243.0 | 1701 | 3.0148 | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348 | 244.0 | 1708 | 3.0176 | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348 | 245.0 | 1715 | 3.0204 | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348 | 246.0 | 1722 | 3.0232 | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348 | 247.0 | 1729 | 3.0258 | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348 | 248.0 | 1736 | 3.0283 | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348 | 249.0 | 1743 | 3.0308 | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348 | 250.0 | 1750 | 3.0332 | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348 | 251.0 | 1757 | 3.0355 | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348 | 252.0 | 1764 | 3.0379 | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348 | 253.0 | 1771 | 3.0402 | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348 | 254.0 | 1778 | 3.0426 | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348 | 255.0 | 1785 | 3.0452 | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348 | 256.0 | 1792 | 3.0477 | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348 | 257.0 | 1799 | 3.0502 | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348 | 258.0 | 1806 | 3.0524 | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348 | 259.0 | 1813 | 3.0545 | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348 | 260.0 | 1820 | 3.0567 | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348 | 261.0 | 1827 | 3.0591 | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348 | 262.0 | 1834 | 3.0615 | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348 | 263.0 | 1841 | 3.0637 | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348 | 264.0 | 1848 | 3.0660 | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348 | 265.0 | 1855 | 3.0682 | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348 | 266.0 | 1862 | 3.0706 | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348 | 267.0 | 1869 | 3.0729 | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348 | 268.0 | 1876 | 3.0752 | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348 | 269.0 | 1883 | 3.0773 | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348 | 270.0 | 1890 | 3.0795 | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348 | 271.0 | 1897 | 3.0817 | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348 | 272.0 | 1904 | 3.0841 | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348 | 273.0 | 1911 | 3.0863 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0348 | 274.0 | 1918 | 3.0886 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0348 | 275.0 | 1925 | 3.0908 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0348 | 276.0 | 1932 | 3.0931 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0348 | 277.0 | 1939 | 3.0953 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0348 | 278.0 | 1946 | 3.0975 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0348 | 279.0 | 1953 | 3.0996 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0348 | 280.0 | 1960 | 3.1021 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0348 | 281.0 | 1967 | 3.1044 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0348 | 282.0 | 1974 | 3.1066 | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348 | 283.0 | 1981 | 3.1088 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0348 | 284.0 | 1988 | 3.1111 | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348 | 285.0 | 1995 | 3.1133 | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0 | 286.0 | 2002 | 3.1154 | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0 | 287.0 | 2009 | 3.1173 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 288.0 | 2016 | 3.1192 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 289.0 | 2023 | 3.1211 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 290.0 | 2030 | 3.1231 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 291.0 | 2037 | 3.1251 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 292.0 | 2044 | 3.1270 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 293.0 | 2051 | 3.1291 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 294.0 | 2058 | 3.1312 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 295.0 | 2065 | 3.1331 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 296.0 | 2072 | 3.1350 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 297.0 | 2079 | 3.1369 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 298.0 | 2086 | 3.1388 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 299.0 | 2093 | 3.1408 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 300.0 | 2100 | 3.1428 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 301.0 | 2107 | 3.1447 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 302.0 | 2114 | 3.1466 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 303.0 | 2121 | 3.1488 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 304.0 | 2128 | 3.1509 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 305.0 | 2135 | 3.1529 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 306.0 | 2142 | 3.1549 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 307.0 | 2149 | 3.1568 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 308.0 | 2156 | 3.1587 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 309.0 | 2163 | 3.1606 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 310.0 | 2170 | 3.1626 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 311.0 | 2177 | 3.1644 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 312.0 | 2184 | 3.1663 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 313.0 | 2191 | 3.1680 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 314.0 | 2198 | 3.1698 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 315.0 | 2205 | 3.1717 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 316.0 | 2212 | 3.1736 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 317.0 | 2219 | 3.1755 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 318.0 | 2226 | 3.1774 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 319.0 | 2233 | 3.1793 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 320.0 | 2240 | 3.1813 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 321.0 | 2247 | 3.1832 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 322.0 | 2254 | 3.1851 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 323.0 | 2261 | 3.1869 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 324.0 | 2268 | 3.1886 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 325.0 | 2275 | 3.1904 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 326.0 | 2282 | 3.1921 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 327.0 | 2289 | 3.1937 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 328.0 | 2296 | 3.1954 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 329.0 | 2303 | 3.1972 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 330.0 | 2310 | 3.1990 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 331.0 | 2317 | 3.2007 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 332.0 | 2324 | 3.2023 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 333.0 | 2331 | 3.2040 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 334.0 | 2338 | 3.2058 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 335.0 | 2345 | 3.2075 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 336.0 | 2352 | 3.2093 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 337.0 | 2359 | 3.2110 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 338.0 | 2366 | 3.2126 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 339.0 | 2373 | 3.2142 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 340.0 | 2380 | 3.2159 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 341.0 | 2387 | 3.2175 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 342.0 | 2394 | 3.2193 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 343.0 | 2401 | 3.2210 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 344.0 | 2408 | 3.2228 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 345.0 | 2415 | 3.2244 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 346.0 | 2422 | 3.2261 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 347.0 | 2429 | 3.2277 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 348.0 | 2436 | 3.2293 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 349.0 | 2443 | 3.2309 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 350.0 | 2450 | 3.2326 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 351.0 | 2457 | 3.2343 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 352.0 | 2464 | 3.2359 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 353.0 | 2471 | 3.2378 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 354.0 | 2478 | 3.2397 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 355.0 | 2485 | 3.2414 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 356.0 | 2492 | 3.2432 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 357.0 | 2499 | 3.2448 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 358.0 | 2506 | 3.2463 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 359.0 | 2513 | 3.2479 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 360.0 | 2520 | 3.2495 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 361.0 | 2527 | 3.2512 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 362.0 | 2534 | 3.2528 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 363.0 | 2541 | 3.2544 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 364.0 | 2548 | 3.2560 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 365.0 | 2555 | 3.2575 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 366.0 | 2562 | 3.2591 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 367.0 | 2569 | 3.2606 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 368.0 | 2576 | 3.2621 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 369.0 | 2583 | 3.2635 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 370.0 | 2590 | 3.2650 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 371.0 | 2597 | 3.2664 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 372.0 | 2604 | 3.2679 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 373.0 | 2611 | 3.2693 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 374.0 | 2618 | 3.2709 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 375.0 | 2625 | 3.2725 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 376.0 | 2632 | 3.2739 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 377.0 | 2639 | 3.2754 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 378.0 | 2646 | 3.2768 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 379.0 | 2653 | 3.2784 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 380.0 | 2660 | 3.2799 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 381.0 | 2667 | 3.2814 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 382.0 | 2674 | 3.2828 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 383.0 | 2681 | 3.2843 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 384.0 | 2688 | 3.2857 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 385.0 | 2695 | 3.2873 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 386.0 | 2702 | 3.2888 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 387.0 | 2709 | 3.2904 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 388.0 | 2716 | 3.2919 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 389.0 | 2723 | 3.2933 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 390.0 | 2730 | 3.2947 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 391.0 | 2737 | 3.2962 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 392.0 | 2744 | 3.2976 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 393.0 | 2751 | 3.2990 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 394.0 | 2758 | 3.3004 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 395.0 | 2765 | 3.3018 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 396.0 | 2772 | 3.3033 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 397.0 | 2779 | 3.3048 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 398.0 | 2786 | 3.3066 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 399.0 | 2793 | 3.3083 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 400.0 | 2800 | 3.3099 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 401.0 | 2807 | 3.3113 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 402.0 | 2814 | 3.3127 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 403.0 | 2821 | 3.3141 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 404.0 | 2828 | 3.3155 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 405.0 | 2835 | 3.3169 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 406.0 | 2842 | 3.3183 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 407.0 | 2849 | 3.3197 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 408.0 | 2856 | 3.3210 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 409.0 | 2863 | 3.3223 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 410.0 | 2870 | 3.3237 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 411.0 | 2877 | 3.3250 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 412.0 | 2884 | 3.3264 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 413.0 | 2891 | 3.3277 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 414.0 | 2898 | 3.3291 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 415.0 | 2905 | 3.3306 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 416.0 | 2912 | 3.3320 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 417.0 | 2919 | 3.3334 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 418.0 | 2926 | 3.3348 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 419.0 | 2933 | 3.3362 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 420.0 | 2940 | 3.3376 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 421.0 | 2947 | 3.3390 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 422.0 | 2954 | 3.3404 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 423.0 | 2961 | 3.3418 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 424.0 | 2968 | 3.3431 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 425.0 | 2975 | 3.3444 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 426.0 | 2982 | 3.3458 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 427.0 | 2989 | 3.3472 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 428.0 | 2996 | 3.3485 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 429.0 | 3003 | 3.3498 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 430.0 | 3010 | 3.3513 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 431.0 | 3017 | 3.3527 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 432.0 | 3024 | 3.3540 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 433.0 | 3031 | 3.3553 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 434.0 | 3038 | 3.3565 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 435.0 | 3045 | 3.3578 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 436.0 | 3052 | 3.3590 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 437.0 | 3059 | 3.3603 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 438.0 | 3066 | 3.3616 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 439.0 | 3073 | 3.3629 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 440.0 | 3080 | 3.3642 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 441.0 | 3087 | 3.3655 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 442.0 | 3094 | 3.3668 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 443.0 | 3101 | 3.3681 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 444.0 | 3108 | 3.3692 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 445.0 | 3115 | 3.3705 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 446.0 | 3122 | 3.3717 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 447.0 | 3129 | 3.3729 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 448.0 | 3136 | 3.3741 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 449.0 | 3143 | 3.3754 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 450.0 | 3150 | 3.3766 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 451.0 | 3157 | 3.3779 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 452.0 | 3164 | 3.3793 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 453.0 | 3171 | 3.3805 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 454.0 | 3178 | 3.3817 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 455.0 | 3185 | 3.3830 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 456.0 | 3192 | 3.3843 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 457.0 | 3199 | 3.3857 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 458.0 | 3206 | 3.3872 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 459.0 | 3213 | 3.3887 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 460.0 | 3220 | 3.3900 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 461.0 | 3227 | 3.3912 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 462.0 | 3234 | 3.3925 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 463.0 | 3241 | 3.3937 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 464.0 | 3248 | 3.3949 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 465.0 | 3255 | 3.3962 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 466.0 | 3262 | 3.3974 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 467.0 | 3269 | 3.3986 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 468.0 | 3276 | 3.3998 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 469.0 | 3283 | 3.4010 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 470.0 | 3290 | 3.4022 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 471.0 | 3297 | 3.4034 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 472.0 | 3304 | 3.4046 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 473.0 | 3311 | 3.4057 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 474.0 | 3318 | 3.4069 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 475.0 | 3325 | 3.4080 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 476.0 | 3332 | 3.4092 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 477.0 | 3339 | 3.4104 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 478.0 | 3346 | 3.4117 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 479.0 | 3353 | 3.4129 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 480.0 | 3360 | 3.4140 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 481.0 | 3367 | 3.4152 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 482.0 | 3374 | 3.4164 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 483.0 | 3381 | 3.4176 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 484.0 | 3388 | 3.4189 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 485.0 | 3395 | 3.4202 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 486.0 | 3402 | 3.4215 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 487.0 | 3409 | 3.4228 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 488.0 | 3416 | 3.4240 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 489.0 | 3423 | 3.4251 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 490.0 | 3430 | 3.4263 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 491.0 | 3437 | 3.4274 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 492.0 | 3444 | 3.4285 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 493.0 | 3451 | 3.4297 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 494.0 | 3458 | 3.4311 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 495.0 | 3465 | 3.4324 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 496.0 | 3472 | 3.4336 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 497.0 | 3479 | 3.4348 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 498.0 | 3486 | 3.4363 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 499.0 | 3493 | 3.4379 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 500.0 | 3500 | 3.4393 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 501.0 | 3507 | 3.4406 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 502.0 | 3514 | 3.4419 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 503.0 | 3521 | 3.4430 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 504.0 | 3528 | 3.4442 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 505.0 | 3535 | 3.4454 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 506.0 | 3542 | 3.4466 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 507.0 | 3549 | 3.4478 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 508.0 | 3556 | 3.4489 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 509.0 | 3563 | 3.4500 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 510.0 | 3570 | 3.4512 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 511.0 | 3577 | 3.4524 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 512.0 | 3584 | 3.4535 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 513.0 | 3591 | 3.4546 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 514.0 | 3598 | 3.4560 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 515.0 | 3605 | 3.4575 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 516.0 | 3612 | 3.4588 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 517.0 | 3619 | 3.4600 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 518.0 | 3626 | 3.4612 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 519.0 | 3633 | 3.4623 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 520.0 | 3640 | 3.4634 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 521.0 | 3647 | 3.4645 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 522.0 | 3654 | 3.4656 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 523.0 | 3661 | 3.4667 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 524.0 | 3668 | 3.4678 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 525.0 | 3675 | 3.4689 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 526.0 | 3682 | 3.4699 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 527.0 | 3689 | 3.4710 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 528.0 | 3696 | 3.4720 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 529.0 | 3703 | 3.4731 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 530.0 | 3710 | 3.4742 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 531.0 | 3717 | 3.4753 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 532.0 | 3724 | 3.4764 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 533.0 | 3731 | 3.4775 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 534.0 | 3738 | 3.4789 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 535.0 | 3745 | 3.4803 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 536.0 | 3752 | 3.4815 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 537.0 | 3759 | 3.4827 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 538.0 | 3766 | 3.4839 | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0 | 539.0 | 3773 | 3.4850 | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0 | 540.0 | 3780 | 3.4861 | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0 | 541.0 | 3787 | 3.4872 | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0 | 542.0 | 3794 | 3.4883 | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0 | 543.0 | 3801 | 3.4895 | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0 | 544.0 | 3808 | 3.4907 | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0 | 545.0 | 3815 | 3.4918 | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0 | 546.0 | 3822 | 3.4928 | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0 | 547.0 | 3829 | 3.4938 | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0 | 548.0 | 3836 | 3.4949 | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0 | 549.0 | 3843 | 3.4959 | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0 | 550.0 | 3850 | 3.4970 | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0 | 551.0 | 3857 | 3.4982 | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0 | 552.0 | 3864 | 3.4993 | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0 | 553.0 | 3871 | 3.5003 | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0 | 554.0 | 3878 | 3.5015 | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0 | 555.0 | 3885 | 3.5026 | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0 | 556.0 | 3892 | 3.5037 | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0 | 557.0 | 3899 | 3.5049 | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0 | 558.0 | 3906 | 3.5060 | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0 | 559.0 | 3913 | 3.5070 | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0 | 560.0 | 3920 | 3.5081 | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0 | 561.0 | 3927 | 3.5091 | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0 | 562.0 | 3934 | 3.5102 | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0 | 563.0 | 3941 | 3.5113 | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0 | 564.0 | 3948 | 3.5125 | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0 | 565.0 | 3955 | 3.5137 | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0 | 566.0 | 3962 | 3.5148 | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0 | 567.0 | 3969 | 3.5159 | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0 | 568.0 | 3976 | 3.5169 | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0 | 569.0 | 3983 | 3.5180 | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0 | 570.0 | 3990 | 3.8601 | {'f1': 0.8229885057471265} | {'accuracy': 0.7046979865771812} |
| 0.0 | 571.0 | 3997 | 3.0689 | {'f1': 0.7333799860041986} | {'accuracy': 0.6347075743048898} |
| 0.0013 | 572.0 | 4004 | 3.0169 | {'f1': 0.8151210868281158} | {'accuracy': 0.6999041227229147} |
| 0.0013 | 573.0 | 4011 | 2.7677 | {'f1': 0.7332873880082701} | {'accuracy': 0.6289549376797698} |
| 0.0013 | 574.0 | 4018 | 3.5323 | {'f1': 0.8151116199198626} | {'accuracy': 0.6903163950143816} |
| 0.0013 | 575.0 | 4025 | 1.4356 | {'f1': 0.7489711934156378} | {'accuracy': 0.6490891658676894} |
| 0.0013 | 576.0 | 4032 | 2.3193 | {'f1': 0.8099762470308788} | {'accuracy': 0.6931927133269415} |
| 0.0013 | 577.0 | 4039 | 2.6926 | {'f1': 0.7915601023017901} | {'accuracy': 0.6874400767018217} |
| 0.0013 | 578.0 | 4046 | 3.0045 | {'f1': 0.768} | {'accuracy': 0.6663470757430489} |
| 0.0013 | 579.0 | 4053 | 3.6648 | {'f1': 0.8119158878504673} | {'accuracy': 0.6912751677852349} |
| 0.0013 | 580.0 | 4060 | 3.5080 | {'f1': 0.8007268322228952} | {'accuracy': 0.6845637583892618} |
| 0.0013 | 581.0 | 4067 | 3.1868 | {'f1': 0.7780678851174935} | {'accuracy': 0.6740172579098753} |
| 0.0013 | 582.0 | 4074 | 3.3292 | {'f1': 0.8180751173708921} | {'accuracy': 0.7027804410354745} |
| 0.0013 | 583.0 | 4081 | 3.4656 | {'f1': 0.8136792452830188} | {'accuracy': 0.6970278044103547} |
| 0.0013 | 584.0 | 4088 | 3.5400 | {'f1': 0.8106824925816024} | {'accuracy': 0.6941514860977949} |
| 0.0013 | 585.0 | 4095 | 2.0935 | {'f1': 0.8088147706968434} | {'accuracy': 0.6922339405560882} |
| 0.0013 | 586.0 | 4102 | 1.6408 | {'f1': 0.7713178294573643} | {'accuracy': 0.660594439117929} |
| 0.0013 | 587.0 | 4109 | 2.5652 | {'f1': 0.8123904149620105} | {'accuracy': 0.6922339405560882} |
| 0.0013 | 588.0 | 4116 | 2.7729 | {'f1': 0.7886792452830189} | {'accuracy': 0.6778523489932886} |
| 0.0013 | 589.0 | 4123 | 3.0486 | {'f1': 0.7682291666666667} | {'accuracy': 0.6586768935762224} |
| 0.0013 | 590.0 | 4130 | 3.2270 | {'f1': 0.7581179589131875} | {'accuracy': 0.6500479386385427} |
| 0.0013 | 591.0 | 4137 | 3.3193 | {'f1': 0.8144329896907216} | {'accuracy': 0.6893576222435283} |
| 0.0013 | 592.0 | 4144 | 2.8658 | {'f1': 0.8019801980198019} | {'accuracy': 0.6931927133269415} |
| 0.0013 | 593.0 | 4151 | 2.9706 | {'f1': 0.8125369603784742} | {'accuracy': 0.6960690316395014} |
| 0.0013 | 594.0 | 4158 | 3.0925 | {'f1': 0.8130460104834013} | {'accuracy': 0.6922339405560882} |
| 0.0013 | 595.0 | 4165 | 2.9809 | {'f1': 0.7777040477770405} | {'accuracy': 0.6788111217641419} |
| 0.0013 | 596.0 | 4172 | 2.9127 | {'f1': 0.8115593016255267} | {'accuracy': 0.6999041227229147} |
| 0.0013 | 597.0 | 4179 | 2.7150 | {'f1': 0.7788778877887788} | {'accuracy': 0.6788111217641419} |
| 0.0013 | 598.0 | 4186 | 3.1194 | {'f1': 0.8115273775216137} | {'accuracy': 0.6864813039309684} |
| 0.0013 | 599.0 | 4193 | 1.5075 | {'f1': 0.8166172106824926} | {'accuracy': 0.7037392138063279} |
| 0.0013 | 600.0 | 4200 | 2.1774 | {'f1': 0.8169350029815148} | {'accuracy': 0.7056567593480345} |
| 0.0013 | 601.0 | 4207 | 2.2052 | {'f1': 0.7665551839464881} | {'accuracy': 0.6653883029721956} |
| 0.0013 | 602.0 | 4214 | 1.7763 | {'f1': 0.8088235294117647} | {'accuracy': 0.700862895493768} |
| 0.0013 | 603.0 | 4221 | 2.0937 | {'f1': 0.8122743682310469} | {'accuracy': 0.700862895493768} |
| 0.0013 | 604.0 | 4228 | 2.4730 | {'f1': 0.8131736526946108} | {'accuracy': 0.700862895493768} |
| 0.0013 | 605.0 | 4235 | 2.7279 | {'f1': 0.8133971291866029} | {'accuracy': 0.700862895493768} |
| 0.0013 | 606.0 | 4242 | 2.8811 | {'f1': 0.8131343283582089} | {'accuracy': 0.6999041227229147} |
| 0.0013 | 607.0 | 4249 | 2.9704 | {'f1': 0.812910938433951} | {'accuracy': 0.6999041227229147} |
| 0.0013 | 608.0 | 4256 | 3.0254 | {'f1': 0.812910938433951} | {'accuracy': 0.6999041227229147} |
| 0.0013 | 609.0 | 4263 | 3.0614 | {'f1': 0.812910938433951} | {'accuracy': 0.6999041227229147} |
| 0.0013 | 610.0 | 4270 | 3.0865 | {'f1': 0.812910938433951} | {'accuracy': 0.6999041227229147} |
| 0.0013 | 611.0 | 4277 | 3.1062 | {'f1': 0.812687013764213} | {'accuracy': 0.6999041227229147} |
| 0.0013 | 612.0 | 4284 | 3.1230 | {'f1': 0.812687013764213} | {'accuracy': 0.6999041227229147} |
| 0.0013 | 613.0 | 4291 | 3.1374 | {'f1': 0.8131736526946108} | {'accuracy': 0.700862895493768} |
| 0.0013 | 614.0 | 4298 | 3.1520 | {'f1': 0.8131736526946108} | {'accuracy': 0.700862895493768} |
| 0.0013 | 615.0 | 4305 | 3.1652 | {'f1': 0.8124625524266027} | {'accuracy': 0.6999041227229147} |
| 0.0013 | 616.0 | 4312 | 3.1774 | {'f1': 0.8124625524266027} | {'accuracy': 0.6999041227229147} |
| 0.0013 | 617.0 | 4319 | 3.1892 | {'f1': 0.8124625524266027} | {'accuracy': 0.6999041227229147} |
| 0.0013 | 618.0 | 4326 | 3.2003 | {'f1': 0.8124625524266027} | {'accuracy': 0.6999041227229147} |
| 0.0013 | 619.0 | 4333 | 3.2069 | {'f1': 0.8124625524266027} | {'accuracy': 0.6999041227229147} |
| 0.0013 | 620.0 | 4340 | 3.2150 | {'f1': 0.8129496402877698} | {'accuracy': 0.700862895493768} |
| 0.0013 | 621.0 | 4347 | 3.2238 | {'f1': 0.8129496402877698} | {'accuracy': 0.700862895493768} |
| 0.0013 | 622.0 | 4354 | 3.2328 | {'f1': 0.8129496402877698} | {'accuracy': 0.700862895493768} |
| 0.0013 | 623.0 | 4361 | 3.2416 | {'f1': 0.8129496402877698} | {'accuracy': 0.700862895493768} |
| 0.0013 | 624.0 | 4368 | 3.2500 | {'f1': 0.8129496402877698} | {'accuracy': 0.700862895493768} |
| 0.0013 | 625.0 | 4375 | 3.2578 | {'f1': 0.8129496402877698} | {'accuracy': 0.700862895493768} |
| 0.0013 | 626.0 | 4382 | 3.2656 | {'f1': 0.8129496402877698} | {'accuracy': 0.700862895493768} |
| 0.0013 | 627.0 | 4389 | 3.2731 | {'f1': 0.8129496402877698} | {'accuracy': 0.700862895493768} |
| 0.0013 | 628.0 | 4396 | 3.2812 | {'f1': 0.8129496402877698} | {'accuracy': 0.700862895493768} |
| 0.0013 | 629.0 | 4403 | 3.2887 | {'f1': 0.8129496402877698} | {'accuracy': 0.700862895493768} |
| 0.0013 | 630.0 | 4410 | 3.2961 | {'f1': 0.8129496402877698} | {'accuracy': 0.700862895493768} |
| 0.0013 | 631.0 | 4417 | 3.3035 | {'f1': 0.8129496402877698} | {'accuracy': 0.700862895493768} |
| 0.0013 | 632.0 | 4424 | 3.3104 | {'f1': 0.8129496402877698} | {'accuracy': 0.700862895493768} |
| 0.0013 | 633.0 | 4431 | 3.3168 | {'f1': 0.8129496402877698} | {'accuracy': 0.700862895493768} |
| 0.0013 | 634.0 | 4438 | 3.3232 | {'f1': 0.8129496402877698} | {'accuracy': 0.700862895493768} |
| 0.0013 | 635.0 | 4445 | 3.3295 | {'f1': 0.8134373125374925} | {'accuracy': 0.7018216682646213} |
| 0.0013 | 636.0 | 4452 | 3.3355 | {'f1': 0.8139255702280912} | {'accuracy': 0.7027804410354745} |
| 0.0013 | 637.0 | 4459 | 3.3414 | {'f1': 0.8139255702280912} | {'accuracy': 0.7027804410354745} |
| 0.0013 | 638.0 | 4466 | 3.3472 | {'f1': 0.8139255702280912} | {'accuracy': 0.7027804410354745} |
| 0.0013 | 639.0 | 4473 | 3.3530 | {'f1': 0.8139255702280912} | {'accuracy': 0.7027804410354745} |
| 0.0013 | 640.0 | 4480 | 3.3585 | {'f1': 0.8139255702280912} | {'accuracy': 0.7027804410354745} |
| 0.0013 | 641.0 | 4487 | 3.3637 | {'f1': 0.8139255702280912} | {'accuracy': 0.7027804410354745} |
| 0.0013 | 642.0 | 4494 | 3.3690 | {'f1': 0.8139255702280912} | {'accuracy': 0.7027804410354745} |
| 0.0256 | 643.0 | 4501 | 3.3743 | {'f1': 0.8132132132132132} | {'accuracy': 0.7018216682646213} |
| 0.0256 | 644.0 | 4508 | 3.3796 | {'f1': 0.8132132132132132} | {'accuracy': 0.7018216682646213} |
| 0.0256 | 645.0 | 4515 | 3.3848 | {'f1': 0.8132132132132132} | {'accuracy': 0.7018216682646213} |
| 0.0256 | 646.0 | 4522 | 3.3900 | {'f1': 0.8125} | {'accuracy': 0.700862895493768} |
| 0.0256 | 647.0 | 4529 | 3.3950 | {'f1': 0.8125} | {'accuracy': 0.700862895493768} |
| 0.0256 | 648.0 | 4536 | 3.4000 | {'f1': 0.8125} | {'accuracy': 0.700862895493768} |
| 0.0256 | 649.0 | 4543 | 3.4050 | {'f1': 0.8125} | {'accuracy': 0.700862895493768} |
| 0.0256 | 650.0 | 4550 | 3.4100 | {'f1': 0.8117859290438966} | {'accuracy': 0.6999041227229147} |
| 0.0256 | 651.0 | 4557 | 3.4148 | {'f1': 0.8117859290438966} | {'accuracy': 0.6999041227229147} |
| 0.0256 | 652.0 | 4564 | 3.4194 | {'f1': 0.8117859290438966} | {'accuracy': 0.6999041227229147} |
| 0.0256 | 653.0 | 4571 | 3.4239 | {'f1': 0.8117859290438966} | {'accuracy': 0.6999041227229147} |
| 0.0256 | 654.0 | 4578 | 3.4285 | {'f1': 0.8117859290438966} | {'accuracy': 0.6999041227229147} |
| 0.0256 | 655.0 | 4585 | 3.4305 | {'f1': 0.8096385542168674} | {'accuracy': 0.6970278044103547} |
| 0.0256 | 656.0 | 4592 | 3.4339 | {'f1': 0.8098974049487024} | {'accuracy': 0.697986577181208} |
| 0.0256 | 657.0 | 4599 | 3.4380 | {'f1': 0.8098974049487024} | {'accuracy': 0.697986577181208} |
| 0.0256 | 658.0 | 4606 | 3.4424 | {'f1': 0.8098974049487024} | {'accuracy': 0.697986577181208} |
| 0.0256 | 659.0 | 4613 | 3.4464 | {'f1': 0.8091787439613527} | {'accuracy': 0.6970278044103547} |
| 0.0256 | 660.0 | 4620 | 3.4505 | {'f1': 0.8091787439613527} | {'accuracy': 0.6970278044103547} |
| 0.0256 | 661.0 | 4627 | 3.4556 | {'f1': 0.8098974049487024} | {'accuracy': 0.697986577181208} |
| 0.0256 | 662.0 | 4634 | 3.4605 | {'f1': 0.8098974049487024} | {'accuracy': 0.697986577181208} |
| 0.0256 | 663.0 | 4641 | 3.4649 | {'f1': 0.8098974049487024} | {'accuracy': 0.697986577181208} |
| 0.0256 | 664.0 | 4648 | 3.4691 | {'f1': 0.8098974049487024} | {'accuracy': 0.697986577181208} |
| 0.0256 | 665.0 | 4655 | 3.4734 | {'f1': 0.8098974049487024} | {'accuracy': 0.697986577181208} |
| 0.0256 | 666.0 | 4662 | 3.4773 | {'f1': 0.8098974049487024} | {'accuracy': 0.697986577181208} |
| 0.0256 | 667.0 | 4669 | 3.4810 | {'f1': 0.8091787439613527} | {'accuracy': 0.6970278044103547} |
| 0.0256 | 668.0 | 4676 | 3.4847 | {'f1': 0.8091787439613527} | {'accuracy': 0.6970278044103547} |
| 0.0256 | 669.0 | 4683 | 3.4884 | {'f1': 0.8084592145015107} | {'accuracy': 0.6960690316395014} |
| 0.0256 | 670.0 | 4690 | 3.4922 | {'f1': 0.8084592145015107} | {'accuracy': 0.6960690316395014} |
| 0.0256 | 671.0 | 4697 | 3.4959 | {'f1': 0.8084592145015107} | {'accuracy': 0.6960690316395014} |
| 0.0256 | 672.0 | 4704 | 3.4995 | {'f1': 0.8084592145015107} | {'accuracy': 0.6960690316395014} |
| 0.0256 | 673.0 | 4711 | 3.5030 | {'f1': 0.8084592145015107} | {'accuracy': 0.6960690316395014} |
| 0.0256 | 674.0 | 4718 | 3.5066 | {'f1': 0.8084592145015107} | {'accuracy': 0.6960690316395014} |
| 0.0256 | 675.0 | 4725 | 3.5105 | {'f1': 0.8084592145015107} | {'accuracy': 0.6960690316395014} |
| 0.0256 | 676.0 | 4732 | 3.5141 | {'f1': 0.8089480048367594} | {'accuracy': 0.6970278044103547} |
| 0.0256 | 677.0 | 4739 | 3.5176 | {'f1': 0.8089480048367594} | {'accuracy': 0.6970278044103547} |
| 0.0256 | 678.0 | 4746 | 3.5209 | {'f1': 0.8089480048367594} | {'accuracy': 0.6970278044103547} |
| 0.0256 | 679.0 | 4753 | 3.5242 | {'f1': 0.8089480048367594} | {'accuracy': 0.6970278044103547} |
| 0.0256 | 680.0 | 4760 | 3.5274 | {'f1': 0.8089480048367594} | {'accuracy': 0.6970278044103547} |
| 0.0256 | 681.0 | 4767 | 3.5307 | {'f1': 0.8089480048367594} | {'accuracy': 0.6970278044103547} |
| 0.0256 | 682.0 | 4774 | 3.5340 | {'f1': 0.8089480048367594} | {'accuracy': 0.6970278044103547} |
| 0.0256 | 683.0 | 4781 | 3.5373 | {'f1': 0.8089480048367594} | {'accuracy': 0.6970278044103547} |
| 0.0256 | 684.0 | 4788 | 3.5405 | {'f1': 0.8089480048367594} | {'accuracy': 0.6970278044103547} |
| 0.0256 | 685.0 | 4795 | 3.5436 | {'f1': 0.8089480048367594} | {'accuracy': 0.6970278044103547} |
| 0.0256 | 686.0 | 4802 | 3.5468 | {'f1': 0.8089480048367594} | {'accuracy': 0.6970278044103547} |
| 0.0256 | 687.0 | 4809 | 3.5501 | {'f1': 0.8089480048367594} | {'accuracy': 0.6970278044103547} |
| 0.0256 | 688.0 | 4816 | 3.5531 | {'f1': 0.8089480048367594} | {'accuracy': 0.6970278044103547} |
| 0.0256 | 689.0 | 4823 | 3.5562 | {'f1': 0.8089480048367594} | {'accuracy': 0.6970278044103547} |
| 0.0256 | 690.0 | 4830 | 3.5592 | {'f1': 0.8089480048367594} | {'accuracy': 0.6970278044103547} |
| 0.0256 | 691.0 | 4837 | 3.5622 | {'f1': 0.8089480048367594} | {'accuracy': 0.6970278044103547} |
| 0.0256 | 692.0 | 4844 | 3.5652 | {'f1': 0.8089480048367594} | {'accuracy': 0.6970278044103547} |
| 0.0256 | 693.0 | 4851 | 3.5682 | {'f1': 0.8089480048367594} | {'accuracy': 0.6970278044103547} |
| 0.0256 | 694.0 | 4858 | 3.5711 | {'f1': 0.8089480048367594} | {'accuracy': 0.6970278044103547} |
| 0.0256 | 695.0 | 4865 | 3.5740 | {'f1': 0.8089480048367594} | {'accuracy': 0.6970278044103547} |
| 0.0256 | 696.0 | 4872 | 3.5771 | {'f1': 0.8089480048367594} | {'accuracy': 0.6970278044103547} |
| 0.0256 | 697.0 | 4879 | 3.5801 | {'f1': 0.8082274652147611} | {'accuracy': 0.6960690316395014} |
| 0.0256 | 698.0 | 4886 | 3.5831 | {'f1': 0.8082274652147611} | {'accuracy': 0.6960690316395014} |
| 0.0256 | 699.0 | 4893 | 3.5859 | {'f1': 0.8082274652147611} | {'accuracy': 0.6960690316395014} |
| 0.0256 | 700.0 | 4900 | 3.5887 | {'f1': 0.8082274652147611} | {'accuracy': 0.6960690316395014} |
| 0.0256 | 701.0 | 4907 | 3.5916 | {'f1': 0.8082274652147611} | {'accuracy': 0.6960690316395014} |
| 0.0256 | 702.0 | 4914 | 3.5944 | {'f1': 0.8082274652147611} | {'accuracy': 0.6960690316395014} |
| 0.0256 | 703.0 | 4921 | 3.5971 | {'f1': 0.8082274652147611} | {'accuracy': 0.6960690316395014} |
| 0.0256 | 704.0 | 4928 | 3.5999 | {'f1': 0.8082274652147611} | {'accuracy': 0.6960690316395014} |
| 0.0256 | 705.0 | 4935 | 3.6027 | {'f1': 0.8082274652147611} | {'accuracy': 0.6960690316395014} |
| 0.0256 | 706.0 | 4942 | 3.6055 | {'f1': 0.8082274652147611} | {'accuracy': 0.6960690316395014} |
| 0.0256 | 707.0 | 4949 | 3.6083 | {'f1': 0.8082274652147611} | {'accuracy': 0.6960690316395014} |
| 0.0256 | 708.0 | 4956 | 3.6114 | {'f1': 0.8082274652147611} | {'accuracy': 0.6960690316395014} |
| 0.0256 | 709.0 | 4963 | 3.6143 | {'f1': 0.8082274652147611} | {'accuracy': 0.6960690316395014} |
| 0.0256 | 710.0 | 4970 | 3.6169 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0256 | 711.0 | 4977 | 3.6194 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0256 | 712.0 | 4984 | 3.6220 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0256 | 713.0 | 4991 | 3.6246 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0256 | 714.0 | 4998 | 3.6272 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 715.0 | 5005 | 3.6299 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 716.0 | 5012 | 3.6325 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 717.0 | 5019 | 3.6350 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 718.0 | 5026 | 3.6375 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 719.0 | 5033 | 3.6400 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 720.0 | 5040 | 3.6426 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 721.0 | 5047 | 3.6451 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 722.0 | 5054 | 3.6475 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 723.0 | 5061 | 3.6499 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 724.0 | 5068 | 3.6524 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 725.0 | 5075 | 3.6549 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 726.0 | 5082 | 3.6573 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 727.0 | 5089 | 3.6597 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 728.0 | 5096 | 3.6621 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 729.0 | 5103 | 3.6645 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 730.0 | 5110 | 3.6668 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 731.0 | 5117 | 3.6691 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 732.0 | 5124 | 3.6721 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 733.0 | 5131 | 3.6751 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 734.0 | 5138 | 3.6777 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 735.0 | 5145 | 3.6802 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 736.0 | 5152 | 3.6825 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 737.0 | 5159 | 3.6848 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 738.0 | 5166 | 3.6870 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 739.0 | 5173 | 3.6893 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 740.0 | 5180 | 3.6914 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 741.0 | 5187 | 3.6935 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 742.0 | 5194 | 3.6956 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 743.0 | 5201 | 3.6976 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 744.0 | 5208 | 3.6997 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 745.0 | 5215 | 3.7018 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 746.0 | 5222 | 3.7039 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 747.0 | 5229 | 3.7059 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 748.0 | 5236 | 3.7080 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 749.0 | 5243 | 3.7100 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 750.0 | 5250 | 3.7121 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 751.0 | 5257 | 3.7141 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 752.0 | 5264 | 3.7162 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 753.0 | 5271 | 3.7183 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 754.0 | 5278 | 3.7204 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 755.0 | 5285 | 3.7225 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 756.0 | 5292 | 3.7245 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 757.0 | 5299 | 3.7265 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 758.0 | 5306 | 3.7284 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 759.0 | 5313 | 3.7303 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 760.0 | 5320 | 3.7322 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 761.0 | 5327 | 3.7341 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 762.0 | 5334 | 3.7361 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 763.0 | 5341 | 3.7380 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 764.0 | 5348 | 3.7399 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 765.0 | 5355 | 3.7417 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 766.0 | 5362 | 3.7442 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 767.0 | 5369 | 3.7464 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 768.0 | 5376 | 3.7485 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 769.0 | 5383 | 3.7505 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 770.0 | 5390 | 3.7525 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0 | 771.0 | 5397 | 3.9480 | {'f1': 0.8144208037825059} | {'accuracy': 0.6989453499520614} |
| 0.0 | 772.0 | 5404 | 4.0334 | {'f1': 0.8147713950762017} | {'accuracy': 0.6970278044103547} |
| 0.0 | 773.0 | 5411 | 4.0773 | {'f1': 0.8146853146853147} | {'accuracy': 0.6951102588686481} |
| 0.0 | 774.0 | 5418 | 4.0872 | {'f1': 0.8156359393232205} | {'accuracy': 0.6970278044103547} |
| 0.0 | 775.0 | 5425 | 4.0908 | {'f1': 0.814944541739638} | {'accuracy': 0.6960690316395014} |
| 0.0 | 776.0 | 5432 | 4.0931 | {'f1': 0.814944541739638} | {'accuracy': 0.6960690316395014} |
| 0.0 | 777.0 | 5439 | 4.0950 | {'f1': 0.8154205607476637} | {'accuracy': 0.6970278044103547} |
| 0.0 | 778.0 | 5446 | 4.0968 | {'f1': 0.8154205607476637} | {'accuracy': 0.6970278044103547} |
| 0.0 | 779.0 | 5453 | 4.0986 | {'f1': 0.8154205607476637} | {'accuracy': 0.6970278044103547} |
| 0.0 | 780.0 | 5460 | 4.1004 | {'f1': 0.8154205607476637} | {'accuracy': 0.6970278044103547} |
| 0.0 | 781.0 | 5467 | 4.1020 | {'f1': 0.8154205607476637} | {'accuracy': 0.6970278044103547} |
| 0.0 | 782.0 | 5474 | 4.1037 | {'f1': 0.8154205607476637} | {'accuracy': 0.6970278044103547} |
| 0.0 | 783.0 | 5481 | 4.1053 | {'f1': 0.8154205607476637} | {'accuracy': 0.6970278044103547} |
| 0.0 | 784.0 | 5488 | 4.1069 | {'f1': 0.8154205607476637} | {'accuracy': 0.6970278044103547} |
| 0.0 | 785.0 | 5495 | 4.1085 | {'f1': 0.8154205607476637} | {'accuracy': 0.6970278044103547} |
| 0.0 | 786.0 | 5502 | 4.0986 | {'f1': 0.8149882903981265} | {'accuracy': 0.6970278044103547} |
| 0.0 | 787.0 | 5509 | 4.0837 | {'f1': 0.8150322959483265} | {'accuracy': 0.697986577181208} |
| 0.0 | 788.0 | 5516 | 4.0779 | {'f1': 0.8148148148148149} | {'accuracy': 0.697986577181208} |
| 0.0 | 789.0 | 5523 | 4.0756 | {'f1': 0.8148148148148149} | {'accuracy': 0.697986577181208} |
| 0.0 | 790.0 | 5530 | 4.0752 | {'f1': 0.8148148148148149} | {'accuracy': 0.697986577181208} |
| 0.0 | 791.0 | 5537 | 4.0759 | {'f1': 0.8148148148148149} | {'accuracy': 0.697986577181208} |
| 0.0 | 792.0 | 5544 | 4.0770 | {'f1': 0.8148148148148149} | {'accuracy': 0.697986577181208} |
| 0.0 | 793.0 | 5551 | 4.0785 | {'f1': 0.8148148148148149} | {'accuracy': 0.697986577181208} |
| 0.0 | 794.0 | 5558 | 4.0800 | {'f1': 0.8148148148148149} | {'accuracy': 0.697986577181208} |
| 0.0 | 795.0 | 5565 | 4.0816 | {'f1': 0.8148148148148149} | {'accuracy': 0.697986577181208} |
| 0.0 | 796.0 | 5572 | 4.0832 | {'f1': 0.8148148148148149} | {'accuracy': 0.697986577181208} |
| 0.0 | 797.0 | 5579 | 4.0726 | {'f1': 0.8145968216597999} | {'accuracy': 0.697986577181208} |
| 0.0 | 798.0 | 5586 | 4.0451 | {'f1': 0.8127962085308056} | {'accuracy': 0.6970278044103547} |
| 0.0 | 799.0 | 5593 | 4.0253 | {'f1': 0.8142433234421365} | {'accuracy': 0.6999041227229147} |
| 0.0 | 800.0 | 5600 | 4.0155 | {'f1': 0.8156956004756243} | {'accuracy': 0.7027804410354745} |
| 0.0 | 801.0 | 5607 | 4.0116 | {'f1': 0.8156956004756243} | {'accuracy': 0.7027804410354745} |
| 0.0 | 802.0 | 5614 | 4.0105 | {'f1': 0.8154761904761904} | {'accuracy': 0.7027804410354745} |
| 0.0 | 803.0 | 5621 | 4.0108 | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0 | 804.0 | 5628 | 4.0116 | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0 | 805.0 | 5635 | 4.0127 | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0 | 806.0 | 5642 | 4.0139 | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0 | 807.0 | 5649 | 4.0153 | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0 | 808.0 | 5656 | 4.0167 | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0 | 809.0 | 5663 | 4.0182 | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0 | 810.0 | 5670 | 4.0195 | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0 | 811.0 | 5677 | 4.0208 | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0 | 812.0 | 5684 | 4.0222 | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0 | 813.0 | 5691 | 4.0235 | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0 | 814.0 | 5698 | 4.0249 | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0 | 815.0 | 5705 | 4.0262 | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0 | 816.0 | 5712 | 4.0275 | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0 | 817.0 | 5719 | 4.0288 | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0 | 818.0 | 5726 | 4.0301 | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0 | 819.0 | 5733 | 4.0314 | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0 | 820.0 | 5740 | 4.0327 | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0 | 821.0 | 5747 | 4.0340 | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0 | 822.0 | 5754 | 4.0353 | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0 | 823.0 | 5761 | 4.0366 | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0 | 824.0 | 5768 | 4.0380 | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0 | 825.0 | 5775 | 4.0394 | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0 | 826.0 | 5782 | 4.0407 | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0 | 827.0 | 5789 | 4.0420 | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0 | 828.0 | 5796 | 4.0434 | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0 | 829.0 | 5803 | 4.0447 | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0 | 830.0 | 5810 | 4.0461 | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0 | 831.0 | 5817 | 4.0473 | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0 | 832.0 | 5824 | 4.0487 | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0 | 833.0 | 5831 | 4.0499 | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0 | 834.0 | 5838 | 4.0512 | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0 | 835.0 | 5845 | 4.0525 | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0 | 836.0 | 5852 | 4.0537 | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0 | 837.0 | 5859 | 4.0550 | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0 | 838.0 | 5866 | 4.0563 | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0 | 839.0 | 5873 | 4.0575 | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0 | 840.0 | 5880 | 4.0588 | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0 | 841.0 | 5887 | 4.0601 | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0 | 842.0 | 5894 | 4.0613 | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0 | 843.0 | 5901 | 4.0627 | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0 | 844.0 | 5908 | 4.0641 | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
The model card is truncated. Read the rest on Hugging Face.
- License
- apache-2.0
- Created
- Oct 15, 2023
- Updated
- Oct 15, 2023