Theoreticallyhugo
commited on
trainer: training complete at 2024-03-04 09:19:26.367435.
Browse files- README.md +62 -62
- meta_data/README_s42_e50.md +62 -62
README.md
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name: essays_su_g
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type: essays_su_g
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config: simple
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split: train[
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args: simple
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on the essays_su_g dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- Claim: {'precision': 0.
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- Majorclaim: {'precision': 0.
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- O: {'precision': 0.
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- Premise: {'precision': 0.
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- Accuracy: 0.
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- Macro avg: {'precision': 0.
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- Weighted avg: {'precision': 0.
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Claim | Majorclaim | O
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| No log | 1.0 | 81 | 0.
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| No log | 2.0 | 162 | 0.
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| No log | 3.0 | 243 | 0.
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| No log | 4.0 | 324 | 0.
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| No log | 5.0 | 405 | 0.
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| No log | 6.0 | 486 | 0.
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### Framework versions
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name: essays_su_g
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type: essays_su_g
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config: simple
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split: train[20%:40%]
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args: simple
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.8596357867600886
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on the essays_su_g dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0920
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- Claim: {'precision': 0.6182355616189177, 'recall': 0.6244832338079926, 'f1-score': 0.6213436928702011, 'support': 4354.0}
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- Majorclaim: {'precision': 0.8, 'recall': 0.86504895700298, 'f1-score': 0.8312538351401105, 'support': 2349.0}
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- O: {'precision': 0.9246820349761526, 'recall': 0.9141453831041257, 'f1-score': 0.919383521043272, 'support': 10180.0}
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- Premise: {'precision': 0.9017729158807997, 'recall': 0.8937490653506804, 'f1-score': 0.8977430620751813, 'support': 13374.0}
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- Accuracy: 0.8596
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- Macro avg: {'precision': 0.8111726281189675, 'recall': 0.8243566598164448, 'f1-score': 0.8174310277821912, 'support': 30257.0}
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- Weighted avg: {'precision': 0.8607783894085936, 'recall': 0.8596357867600886, 'f1-score': 0.8600881004037069, 'support': 30257.0}
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Claim | Majorclaim | O | Premise | Accuracy | Macro avg | Weighted avg |
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|:-------------:|:-----:|:----:|:---------------:|:-------------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:--------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|
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| No log | 1.0 | 81 | 0.4783 | {'precision': 0.5477537437603993, 'recall': 0.3780431786862655, 'f1-score': 0.44734338904742493, 'support': 4354.0} | {'precision': 0.5898856944925528, 'recall': 0.7249893571732652, 'f1-score': 0.6504965622612681, 'support': 2349.0} | {'precision': 0.8689081979599547, 'recall': 0.9037328094302554, 'f1-score': 0.8859784283513097, 'support': 10180.0} | {'precision': 0.859258183929738, 'recall': 0.8851502916105877, 'f1-score': 0.8720120805863504, 'support': 13374.0} | 0.8060 | {'precision': 0.7164514550356611, 'recall': 0.7229789092250934, 'f1-score': 0.7139576150615883, 'support': 30257.0} | {'precision': 0.7967665566250599, 'recall': 0.8059953068711373, 'f1-score': 0.7984036588902531, 'support': 30257.0} |
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| No log | 2.0 | 162 | 0.4242 | {'precision': 0.5281409891984082, 'recall': 0.6401010564997703, 'f1-score': 0.5787561000934482, 'support': 4354.0} | {'precision': 0.7017850892544627, 'recall': 0.8535547041294168, 'f1-score': 0.7702650787552824, 'support': 2349.0} | {'precision': 0.9206077681626081, 'recall': 0.8987229862475442, 'f1-score': 0.9095337508698677, 'support': 10180.0} | {'precision': 0.9162905211325401, 'recall': 0.8348287722446538, 'f1-score': 0.8736648538675224, 'support': 13374.0} | 0.8298 | {'precision': 0.7667060919370048, 'recall': 0.8068018797803463, 'f1-score': 0.7830549458965301, 'support': 30257.0} | {'precision': 0.8452350051608073, 'recall': 0.8297584030141786, 'f1-score': 0.8352680063880269, 'support': 30257.0} |
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| No log | 3.0 | 243 | 0.4107 | {'precision': 0.5899245558530056, 'recall': 0.5567294441892513, 'f1-score': 0.5728465083303793, 'support': 4354.0} | {'precision': 0.8017699115044248, 'recall': 0.7713920817369093, 'f1-score': 0.7862876979822088, 'support': 2349.0} | {'precision': 0.9048168445341794, 'recall': 0.9244597249508841, 'f1-score': 0.914532821534425, 'support': 10180.0} | {'precision': 0.8843330614665975, 'recall': 0.8918049947659639, 'f1-score': 0.8880533114924986, 'support': 13374.0} | 0.8452 | {'precision': 0.7952110933395518, 'recall': 0.7860965614107521, 'f1-score': 0.7904300848348779, 'support': 30257.0} | {'precision': 0.8424495118392472, 'recall': 0.8452258981392735, 'f1-score': 0.8437033615676307, 'support': 30257.0} |
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| No log | 4.0 | 324 | 0.4546 | {'precision': 0.5714596949891068, 'recall': 0.6024345429490124, 'f1-score': 0.5865384615384616, 'support': 4354.0} | {'precision': 0.7425589485890993, 'recall': 0.8177948063005535, 'f1-score': 0.7783630470016208, 'support': 2349.0} | {'precision': 0.9063411787589963, 'recall': 0.9154223968565816, 'f1-score': 0.9108591535529275, 'support': 10180.0} | {'precision': 0.9067823097358962, 'recall': 0.8677284282937042, 'f1-score': 0.8868256151612411, 'support': 13374.0} | 0.8417 | {'precision': 0.7817855330182747, 'recall': 0.8008450435999629, 'f1-score': 0.7906465693135627, 'support': 30257.0} | {'precision': 0.8456313015960876, 'recall': 0.8417225765938461, 'f1-score': 0.8432797441676475, 'support': 30257.0} |
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| No log | 5.0 | 405 | 0.4870 | {'precision': 0.5985704403965875, 'recall': 0.5962333486449242, 'f1-score': 0.597399608790703, 'support': 4354.0} | {'precision': 0.7940298507462686, 'recall': 0.7926777352064709, 'f1-score': 0.7933532168726033, 'support': 2349.0} | {'precision': 0.9042862684251358, 'recall': 0.9160117878192534, 'f1-score': 0.9101112629318758, 'support': 10180.0} | {'precision': 0.8961019377214808, 'recall': 0.8886645730521908, 'f1-score': 0.8923677591320345, 'support': 13374.0} | 0.8483 | {'precision': 0.7982471243223681, 'recall': 0.7983968611807098, 'f1-score': 0.7983079619318041, 'support': 30257.0} | {'precision': 0.8481162489521332, 'recall': 0.848332617245596, 'f1-score': 0.8482045037639816, 'support': 30257.0} |
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| No log | 6.0 | 486 | 0.5424 | {'precision': 0.5903745644599303, 'recall': 0.6226458429030777, 'f1-score': 0.6060809300245921, 'support': 4354.0} | {'precision': 0.7963286713286714, 'recall': 0.7756492124308216, 'f1-score': 0.7858529221479404, 'support': 2349.0} | {'precision': 0.9398504051527115, 'recall': 0.8887033398821218, 'f1-score': 0.9135615470059578, 'support': 10180.0} | {'precision': 0.88328121591157, 'recall': 0.908180050844923, 'f1-score': 0.895557603686636, 'support': 13374.0} | 0.8502 | {'precision': 0.8024587142132208, 'recall': 0.7987946115152361, 'f1-score': 0.8002632507162816, 'support': 30257.0} | {'precision': 0.8534139871324166, 'recall': 0.8502495290346036, 'f1-score': 0.8514422719925407, 'support': 30257.0} |
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| 0.35 | 7.0 | 567 | 0.5764 | {'precision': 0.6054453161052146, 'recall': 0.6026642168121268, 'f1-score': 0.6040515653775324, 'support': 4354.0} | {'precision': 0.8051063829787234, 'recall': 0.8054491272882077, 'f1-score': 0.8052777186635455, 'support': 2349.0} | {'precision': 0.9315082331548641, 'recall': 0.9057956777996071, 'f1-score': 0.9184720354599332, 'support': 10180.0} | {'precision': 0.8810881965774463, 'recall': 0.9008524001794527, 'f1-score': 0.8908606921029282, 'support': 13374.0} | 0.8522 | {'precision': 0.8057870322040621, 'recall': 0.8036903555198486, 'f1-score': 0.8046655029009848, 'support': 30257.0} | {'precision': 0.8524880574571969, 'recall': 0.8521994910268698, 'f1-score': 0.8522343290465387, 'support': 30257.0} |
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| 0.35 | 8.0 | 648 | 0.5955 | {'precision': 0.6227261400448543, 'recall': 0.5739549839228296, 'f1-score': 0.597346719254213, 'support': 4354.0} | {'precision': 0.7676845767298028, 'recall': 0.8454661558109834, 'f1-score': 0.8047001620745543, 'support': 2349.0} | {'precision': 0.9258769700050838, 'recall': 0.8944990176817289, 'f1-score': 0.9099175618286286, 'support': 10180.0} | {'precision': 0.8797569092750688, 'recall': 0.9092268580828473, 'f1-score': 0.8942491542873952, 'support': 13374.0} | 0.8511 | {'precision': 0.7990111490137024, 'recall': 0.8057867538745973, 'f1-score': 0.8015533993611977, 'support': 30257.0} | {'precision': 0.8495864475589161, 'recall': 0.8510757841160723, 'f1-score': 0.8498442431569896, 'support': 30257.0} |
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| 0.35 | 9.0 | 729 | 0.5690 | {'precision': 0.6213075060532688, 'recall': 0.5893431327514929, 'f1-score': 0.6049033474776048, 'support': 4354.0} | {'precision': 0.8628731343283582, 'recall': 0.787569178373776, 'f1-score': 0.823503227242377, 'support': 2349.0} | {'precision': 0.9027672479150872, 'recall': 0.9357563850687622, 'f1-score': 0.9189658498938837, 'support': 10180.0} | {'precision': 0.8970292606656243, 'recall': 0.9008524001794527, 'f1-score': 0.8989367655288193, 'support': 13374.0} | 0.8590 | {'precision': 0.8209942872405847, 'recall': 0.803380274093371, 'f1-score': 0.8115772975356712, 'support': 30257.0} | {'precision': 0.8566315824374819, 'recall': 0.8589747826949136, 'f1-score': 0.8575077142417292, 'support': 30257.0} |
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| 0.35 | 10.0 | 810 | 0.7088 | {'precision': 0.6071094480823199, 'recall': 0.5962333486449242, 'f1-score': 0.60162224797219, 'support': 4354.0} | {'precision': 0.8333333333333334, 'recall': 0.7939548744146445, 'f1-score': 0.8131676477000218, 'support': 2349.0} | {'precision': 0.9338801134062373, 'recall': 0.905992141453831, 'f1-score': 0.9197247706422018, 'support': 10180.0} | {'precision': 0.884834499170693, 'recall': 0.9174517720951099, 'f1-score': 0.9008479864909512, 'support': 13374.0} | 0.8578 | {'precision': 0.8147893484981459, 'recall': 0.8034080341521274, 'f1-score': 0.8088406632013413, 'support': 30257.0} | {'precision': 0.8573728619273148, 'recall': 0.8577849753775986, 'f1-score': 0.8573332851434664, 'support': 30257.0} |
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| 0.35 | 11.0 | 891 | 0.7312 | {'precision': 0.6289498141263941, 'recall': 0.6217271474506201, 'f1-score': 0.6253176253176252, 'support': 4354.0} | {'precision': 0.7318996415770609, 'recall': 0.8693060876968923, 'f1-score': 0.7947071414672116, 'support': 2349.0} | {'precision': 0.9221171261823304, 'recall': 0.900196463654224, 'f1-score': 0.9110249527786062, 'support': 10180.0} | {'precision': 0.9047258979206049, 'recall': 0.8946463286974727, 'f1-score': 0.8996578818752584, 'support': 13374.0} | 0.8553 | {'precision': 0.7969231199515976, 'recall': 0.8214690068748023, 'f1-score': 0.8076769003596753, 'support': 30257.0} | {'precision': 0.857475501606145, 'recall': 0.8552731599299336, 'f1-score': 0.8558567785115953, 'support': 30257.0} |
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| 0.35 | 12.0 | 972 | 0.7092 | {'precision': 0.6395321637426901, 'recall': 0.6279283417547084, 'f1-score': 0.633677135241627, 'support': 4354.0} | {'precision': 0.7931570762052877, 'recall': 0.8684546615581098, 'f1-score': 0.8290997764681975, 'support': 2349.0} | {'precision': 0.9196243203163619, 'recall': 0.9137524557956778, 'f1-score': 0.916678984971668, 'support': 10180.0} | {'precision': 0.905603610379842, 'recall': 0.9002542246149244, 'f1-score': 0.9029209944129889, 'support': 13374.0} | 0.8631 | {'precision': 0.8144792926610454, 'recall': 0.8275974209308551, 'f1-score': 0.8205942227736204, 'support': 30257.0} | {'precision': 0.8633032778855295, 'recall': 0.8631391083055161, 'f1-score': 0.8630744313070275, 'support': 30257.0} |
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| 0.063 | 13.0 | 1053 | 0.7807 | {'precision': 0.6096321393998064, 'recall': 0.5785484611851172, 'f1-score': 0.5936837143530521, 'support': 4354.0} | {'precision': 0.821270962047661, 'recall': 0.7922520221370796, 'f1-score': 0.8065005417118094, 'support': 2349.0} | {'precision': 0.9242683294780247, 'recall': 0.9027504911591355, 'f1-score': 0.9133826964170352, 'support': 10180.0} | {'precision': 0.883730957171601, 'recall': 0.9195453865709585, 'f1-score': 0.901282521069989, 'support': 13374.0} | 0.8549 | {'precision': 0.8097255970242733, 'recall': 0.7982740902630727, 'f1-score': 0.8037123683879714, 'support': 30257.0} | {'precision': 0.8530777420132861, 'recall': 0.854942657897346, 'f1-score': 0.8537315976828396, 'support': 30257.0} |
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| 0.063 | 14.0 | 1134 | 0.7879 | {'precision': 0.632554945054945, 'recall': 0.6345888837850253, 'f1-score': 0.6335702820454024, 'support': 4354.0} | {'precision': 0.816793893129771, 'recall': 0.8199233716475096, 'f1-score': 0.8183556405353729, 'support': 2349.0} | {'precision': 0.9107990314769976, 'recall': 0.9237721021611002, 'f1-score': 0.9172396976347231, 'support': 10180.0} | {'precision': 0.9039073148568832, 'recall': 0.8925527142216241, 'f1-score': 0.8981941309255079, 'support': 13374.0} | 0.8603 | {'precision': 0.8160137961296492, 'recall': 0.8177092679538147, 'f1-score': 0.8168399377852517, 'support': 30257.0} | {'precision': 0.8604152313535001, 'recall': 0.8602967908252636, 'f1-score': 0.8603242501425289, 'support': 30257.0} |
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| 0.063 | 15.0 | 1215 | 0.8185 | {'precision': 0.5828134433487623, 'recall': 0.6651355075792375, 'f1-score': 0.6212592513139547, 'support': 4354.0} | {'precision': 0.7765273311897106, 'recall': 0.822477650063857, 'f1-score': 0.7988422575976845, 'support': 2349.0} | {'precision': 0.9276255938542404, 'recall': 0.9014734774066797, 'f1-score': 0.9143625765954267, 'support': 10180.0} | {'precision': 0.9090416053304409, 'recall': 0.8772992373261552, 'f1-score': 0.8928883984627678, 'support': 13374.0} | 0.8506 | {'precision': 0.7990019934307886, 'recall': 0.8165964680939823, 'f1-score': 0.8068381209924584, 'support': 30257.0} | {'precision': 0.8580620487302317, 'recall': 0.8506461314737086, 'f1-score': 0.8537245501570023, 'support': 30257.0} |
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| 0.063 | 16.0 | 1296 | 0.8933 | {'precision': 0.5878725590955807, 'recall': 0.6568672485071199, 'f1-score': 0.620457750298297, 'support': 4354.0} | {'precision': 0.7911741528762806, 'recall': 0.8548318433375904, 'f1-score': 0.8217720482913852, 'support': 2349.0} | {'precision': 0.9427445285758739, 'recall': 0.8928290766208251, 'f1-score': 0.9171081176529942, 'support': 10180.0} | {'precision': 0.900703852266707, 'recall': 0.8898609241812472, 'f1-score': 0.8952495580546884, 'support': 13374.0} | 0.8546 | {'precision': 0.8056237732036106, 'recall': 0.8235972731616956, 'f1-score': 0.8136468685743412, 'support': 30257.0} | {'precision': 0.8613285464033407, 'recall': 0.8546121558647586, 'f1-score': 0.8573567707758909, 'support': 30257.0} |
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| 0.063 | 17.0 | 1377 | 0.8753 | {'precision': 0.6926782273603083, 'recall': 0.49540652273771246, 'f1-score': 0.577664702731655, 'support': 4354.0} | {'precision': 0.7783269961977186, 'recall': 0.8714346530438485, 'f1-score': 0.8222534645511148, 'support': 2349.0} | {'precision': 0.9185462424899045, 'recall': 0.9161100196463654, 'f1-score': 0.9173265135494024, 'support': 10180.0} | {'precision': 0.8705431754874652, 'recall': 0.9347240915208613, 'f1-score': 0.901492752578063, 'support': 13374.0} | 0.8603 | {'precision': 0.8150236603838491, 'recall': 0.8044188217371968, 'f1-score': 0.8046843583525589, 'support': 30257.0} | {'precision': 0.8539397922302876, 'recall': 0.8603298410285223, 'f1-score': 0.8540692561997597, 'support': 30257.0} |
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90 |
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| 0.063 | 18.0 | 1458 | 0.9685 | {'precision': 0.5981667021956939, 'recall': 0.6444648598989435, 'f1-score': 0.6204532891100056, 'support': 4354.0} | {'precision': 0.807372175980975, 'recall': 0.8671775223499362, 'f1-score': 0.8362068965517241, 'support': 2349.0} | {'precision': 0.8936068244991853, 'recall': 0.9158153241650294, 'f1-score': 0.9045747829039926, 'support': 10180.0} | {'precision': 0.9118953211736717, 'recall': 0.8598026020637057, 'f1-score': 0.8850831280788178, 'support': 13374.0} | 0.8482 | {'precision': 0.8027602559623814, 'recall': 0.8218150771194037, 'f1-score': 0.811579524161135, 'support': 30257.0} | {'precision': 0.8524817583209754, 'recall': 0.8482334666358198, 'f1-score': 0.8497662248627994, 'support': 30257.0} |
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91 |
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| 0.0216 | 19.0 | 1539 | 0.9391 | {'precision': 0.5946462715105163, 'recall': 0.6428571428571429, 'f1-score': 0.6178126034654013, 'support': 4354.0} | {'precision': 0.7575868372943327, 'recall': 0.8820774797786292, 'f1-score': 0.8151062155782848, 'support': 2349.0} | {'precision': 0.9213595136051032, 'recall': 0.9080550098231827, 'f1-score': 0.9146588828971454, 'support': 10180.0} | {'precision': 0.9104991394148021, 'recall': 0.870195902497383, 'f1-score': 0.8898914207065302, 'support': 13374.0} | 0.8511 | {'precision': 0.7960229404561886, 'recall': 0.8257963837390844, 'f1-score': 0.8093672806618404, 'support': 30257.0} | {'precision': 0.8568303759789367, 'recall': 0.8511418845225898, 'f1-score': 0.853266214902463, 'support': 30257.0} |
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92 |
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| 0.0216 | 20.0 | 1620 | 0.8916 | {'precision': 0.6064530788457169, 'recall': 0.6129995406522738, 'f1-score': 0.6097087378640776, 'support': 4354.0} | {'precision': 0.7802114803625377, 'recall': 0.8795232013622818, 'f1-score': 0.8268961376826096, 'support': 2349.0} | {'precision': 0.9370494466443293, 'recall': 0.906581532416503, 'f1-score': 0.9215637325877477, 'support': 10180.0} | {'precision': 0.8971479901190209, 'recall': 0.8961417676087932, 'f1-score': 0.896644596566042, 'support': 13374.0} | 0.8576 | {'precision': 0.8052154989929012, 'recall': 0.8238115105099629, 'f1-score': 0.8137033011751192, 'support': 30257.0} | {'precision': 0.8596633525913644, 'recall': 0.8576197243613048, 'f1-score': 0.8583235120565212, 'support': 30257.0} |
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93 |
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| 0.0216 | 21.0 | 1701 | 0.9741 | {'precision': 0.5754014884449667, 'recall': 0.6747818098300413, 'f1-score': 0.6211416490486258, 'support': 4354.0} | {'precision': 0.7965964343598055, 'recall': 0.8369518944231588, 'f1-score': 0.8162756902636495, 'support': 2349.0} | {'precision': 0.9325935059597205, 'recall': 0.8915520628683693, 'f1-score': 0.911611088790679, 'support': 10180.0} | {'precision': 0.9030190718863408, 'recall': 0.8744579033946464, 'f1-score': 0.8885090218423553, 'support': 13374.0} | 0.8486 | {'precision': 0.8019026251627084, 'recall': 0.8194359176290539, 'f1-score': 0.8093843624863275, 'support': 30257.0} | {'precision': 0.8575629461968616, 'recall': 0.8485639686684073, 'f1-score': 0.852199586158436, 'support': 30257.0} |
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94 |
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| 0.0216 | 22.0 | 1782 | 0.9676 | {'precision': 0.6028274795670422, 'recall': 0.6267799724391364, 'f1-score': 0.6145704312577412, 'support': 4354.0} | {'precision': 0.784251968503937, 'recall': 0.8480204342273308, 'f1-score': 0.8148905706688483, 'support': 2349.0} | {'precision': 0.9137847053093034, 'recall': 0.9214145383104125, 'f1-score': 0.9175837613108339, 'support': 10180.0} | {'precision': 0.9070019342359767, 'recall': 0.876551517870495, 'f1-score': 0.8915167877105593, 'support': 13374.0} | 0.8535 | {'precision': 0.8019665219040648, 'recall': 0.8181916157118437, 'f1-score': 0.8096403877369956, 'support': 30257.0} | {'precision': 0.8559834381654265, 'recall': 0.853488448953961, 'f1-score': 0.8544854353433136, 'support': 30257.0} |
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95 |
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| 0.0216 | 23.0 | 1863 | 0.9898 | {'precision': 0.6113108075724898, 'recall': 0.5858980248047773, 'f1-score': 0.5983347015362965, 'support': 4354.0} | {'precision': 0.8553230209281165, 'recall': 0.800340570455513, 'f1-score': 0.8269188475918188, 'support': 2349.0} | {'precision': 0.9227514268844715, 'recall': 0.9211198428290767, 'f1-score': 0.9219349129879069, 'support': 10180.0} | {'precision': 0.8835616438356164, 'recall': 0.9066846119336025, 'f1-score': 0.8949737988043397, 'support': 13374.0} | 0.8571 | {'precision': 0.8182367248051736, 'recall': 0.8035107625057423, 'f1-score': 0.8105405652300904, 'support': 30257.0} | {'precision': 0.8553777302003576, 'recall': 0.8571239713124236, 'f1-score': 0.8560749136698399, 'support': 30257.0} |
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96 |
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| 0.0216 | 24.0 | 1944 | 0.9720 | {'precision': 0.6016132646202106, 'recall': 0.6166743224621039, 'f1-score': 0.6090506975161619, 'support': 4354.0} | {'precision': 0.7454477889260498, 'recall': 0.853980417198808, 'f1-score': 0.7960317460317461, 'support': 2349.0} | {'precision': 0.9310592091784471, 'recall': 0.8928290766208251, 'f1-score': 0.9115434760806339, 'support': 10180.0} | {'precision': 0.9006821077880219, 'recall': 0.89845969792134, 'f1-score': 0.8995695302264645, 'support': 13374.0} | 0.8526 | {'precision': 0.7947005926281823, 'recall': 0.8154858785507693, 'f1-score': 0.8040488624637516, 'support': 30257.0} | {'precision': 0.8558147294621835, 'recall': 0.852563043262716, 'f1-score': 0.8537541987693271, 'support': 30257.0} |
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97 |
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| 0.0116 | 25.0 | 2025 | 1.0132 | {'precision': 0.6326429980276134, 'recall': 0.5893431327514929, 'f1-score': 0.6102259215219976, 'support': 4354.0} | {'precision': 0.8006714225765842, 'recall': 0.8122605363984674, 'f1-score': 0.8064243448858834, 'support': 2349.0} | {'precision': 0.9298989898989899, 'recall': 0.9043222003929273, 'f1-score': 0.9169322709163347, 'support': 10180.0} | {'precision': 0.8818077309958328, 'recall': 0.917676087931808, 'f1-score': 0.8993844349992672, 'support': 13374.0} | 0.8578 | {'precision': 0.811255285374755, 'recall': 0.8059004893686739, 'f1-score': 0.8082417430808707, 'support': 30257.0} | {'precision': 0.8558341242209939, 'recall': 0.8577519251743398, 'f1-score': 0.8564613940592988, 'support': 30257.0} |
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98 |
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| 0.0116 | 26.0 | 2106 | 1.0290 | {'precision': 0.6006185111552905, 'recall': 0.6244832338079926, 'f1-score': 0.6123184326089406, 'support': 4354.0} | {'precision': 0.8013876843018214, 'recall': 0.7867177522349936, 'f1-score': 0.7939849624060151, 'support': 2349.0} | {'precision': 0.93204469948656, 'recall': 0.9094302554027505, 'f1-score': 0.9205986178093769, 'support': 10180.0} | {'precision': 0.8957082499444073, 'recall': 0.9035441902198296, 'f1-score': 0.8996091568955891, 'support': 13374.0} | 0.8563 | {'precision': 0.8074397862220198, 'recall': 0.8060438579163915, 'f1-score': 0.8066277924299805, 'support': 30257.0} | {'precision': 0.8581475309358099, 'recall': 0.8562977162309549, 'f1-score': 0.8571296534981037, 'support': 30257.0} |
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99 |
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| 0.0116 | 27.0 | 2187 | 1.0471 | {'precision': 0.6480063374702931, 'recall': 0.5636196600826826, 'f1-score': 0.6028743397617001, 'support': 4354.0} | {'precision': 0.8347863993025283, 'recall': 0.8152405278842061, 'f1-score': 0.8248976954555244, 'support': 2349.0} | {'precision': 0.9111240197502178, 'recall': 0.9244597249508841, 'f1-score': 0.9177434297137843, 'support': 10180.0} | {'precision': 0.883512674225464, 'recall': 0.9147599820547331, 'f1-score': 0.8988648469931302, 'support': 13374.0} | 0.8598 | {'precision': 0.8193573576871258, 'recall': 0.8045199737431264, 'f1-score': 0.8110950779810349, 'support': 30257.0} | {'precision': 0.8551301805022264, 'recall': 0.8597679875731236, 'f1-score': 0.8568809247486504, 'support': 30257.0} |
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100 |
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| 0.0116 | 28.0 | 2268 | 1.0588 | {'precision': 0.6152253909843606, 'recall': 0.6143775838309601, 'f1-score': 0.6148011951275568, 'support': 4354.0} | {'precision': 0.7258282623394186, 'recall': 0.9140059599829715, 'f1-score': 0.80912003014886, 'support': 2349.0} | {'precision': 0.9418216001671192, 'recall': 0.8857563850687623, 'f1-score': 0.9129290270324997, 'support': 10180.0} | {'precision': 0.8978844284966734, 'recall': 0.8980858381935098, 'f1-score': 0.897985122051512, 'support': 13374.0} | 0.8543 | {'precision': 0.7951899204968929, 'recall': 0.8280564417690509, 'f1-score': 0.8087088435901071, 'support': 30257.0} | {'precision': 0.8586347680535737, 'recall': 0.8543477542386886, 'f1-score': 0.8553636471531488, 'support': 30257.0} |
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101 |
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| 0.0116 | 29.0 | 2349 | 1.0133 | {'precision': 0.6220508166969148, 'recall': 0.6297657326596233, 'f1-score': 0.6258845012554212, 'support': 4354.0} | {'precision': 0.7991071428571429, 'recall': 0.8382290336313325, 'f1-score': 0.8182007064201122, 'support': 2349.0} | {'precision': 0.9275189167662286, 'recall': 0.9151277013752456, 'f1-score': 0.9212816455696202, 'support': 10180.0} | {'precision': 0.8988831421932388, 'recall': 0.8966651712277554, 'f1-score': 0.8977727868238817, 'support': 13374.0} | 0.8599 | {'precision': 0.8118900046283812, 'recall': 0.8199469097234893, 'f1-score': 0.8157849100172588, 'support': 30257.0} | {'precision': 0.8609352431120858, 'recall': 0.8599332385894173, 'f1-score': 0.860379911449525, 'support': 30257.0} |
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102 |
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| 0.0116 | 30.0 | 2430 | 1.0924 | {'precision': 0.5691448382126348, 'recall': 0.6786862655029857, 'f1-score': 0.6191074795725958, 'support': 4354.0} | {'precision': 0.7735177865612648, 'recall': 0.8331204767986378, 'f1-score': 0.802213568354171, 'support': 2349.0} | {'precision': 0.9313517338995047, 'recall': 0.9049115913555992, 'f1-score': 0.9179413083553385, 'support': 10180.0} | {'precision': 0.9156912369503322, 'recall': 0.8657095857634216, 'f1-score': 0.8899992313014068, 'support': 13374.0} | 0.8495 | {'precision': 0.797426398905934, 'recall': 0.8206069798551611, 'f1-score': 0.8073153968958781, 'support': 30257.0} | {'precision': 0.8600543728816776, 'recall': 0.8494563241563936, 'f1-score': 0.853603657884304, 'support': 30257.0} |
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103 |
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| 0.0059 | 31.0 | 2511 | 1.0502 | {'precision': 0.5720296533760769, 'recall': 0.655718879191548, 'f1-score': 0.6110219368646335, 'support': 4354.0} | {'precision': 0.7757296466973886, 'recall': 0.8599404001702853, 'f1-score': 0.8156672723601858, 'support': 2349.0} | {'precision': 0.9318525996971226, 'recall': 0.906679764243615, 'f1-score': 0.9190938511326862, 'support': 10180.0} | {'precision': 0.9120482872148624, 'recall': 0.8699715866606849, 'f1-score': 0.890513183575064, 'support': 13374.0} | 0.8507 | {'precision': 0.7979150467463627, 'recall': 0.8230776575665333, 'f1-score': 0.8090740609831424, 'support': 30257.0} | {'precision': 0.8591995012400396, 'recall': 0.850712231880226, 'f1-score': 0.8540995689442556, 'support': 30257.0} |
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104 |
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| 0.0059 | 32.0 | 2592 | 1.0192 | {'precision': 0.6272174353775976, 'recall': 0.5684428112080845, 'f1-score': 0.5963855421686747, 'support': 4354.0} | {'precision': 0.8004073319755601, 'recall': 0.8365261813537676, 'f1-score': 0.8180682764363031, 'support': 2349.0} | {'precision': 0.9323861346231358, 'recall': 0.9089390962671906, 'f1-score': 0.9205133306804616, 'support': 10180.0} | {'precision': 0.8845822566752799, 'recall': 0.9214894571556752, 'f1-score': 0.9026587563172929, 'support': 13374.0} | 0.8599 | {'precision': 0.8111482896628934, 'recall': 0.8088493864961794, 'f1-score': 0.8094064764006831, 'support': 30257.0} | {'precision': 0.8570960600087044, 'recall': 0.8598671381828998, 'f1-score': 0.8580258765001771, 'support': 30257.0} |
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105 |
+
| 0.0059 | 33.0 | 2673 | 1.0604 | {'precision': 0.618805002315887, 'recall': 0.6136885622416169, 'f1-score': 0.6162361623616236, 'support': 4354.0} | {'precision': 0.8121931260229133, 'recall': 0.8450404427415922, 'f1-score': 0.8282912580847068, 'support': 2349.0} | {'precision': 0.9235939507759218, 'recall': 0.9178781925343812, 'f1-score': 0.9207272010641968, 'support': 10180.0} | {'precision': 0.8986395574824338, 'recall': 0.8989083295947361, 'f1-score': 0.8987739234449761, 'support': 13374.0} | 0.8601 | {'precision': 0.813307909149289, 'recall': 0.8188788817780815, 'f1-score': 0.8160071362388759, 'support': 30257.0} | {'precision': 0.8600558711630416, 'recall': 0.8600654394024523, 'f1-score': 0.8600308614585094, 'support': 30257.0} |
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106 |
+
| 0.0059 | 34.0 | 2754 | 1.0024 | {'precision': 0.5991000642811227, 'recall': 0.6421681212677998, 'f1-score': 0.6198869304955105, 'support': 4354.0} | {'precision': 0.7872755659640905, 'recall': 0.8586632609621115, 'f1-score': 0.8214212991244145, 'support': 2349.0} | {'precision': 0.9350253807106599, 'recall': 0.9047151277013753, 'f1-score': 0.9196205691462807, 'support': 10180.0} | {'precision': 0.9040825618455001, 'recall': 0.8908329594736055, 'f1-score': 0.897408858089786, 'support': 13374.0} | 0.8572 | {'precision': 0.8063708932003434, 'recall': 0.8240948673512231, 'f1-score': 0.8145844142139979, 'support': 30257.0} | {'precision': 0.8615378438736785, 'recall': 0.8572231219221998, 'f1-score': 0.8590471556672056, 'support': 30257.0} |
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107 |
+
| 0.0059 | 35.0 | 2835 | 1.0053 | {'precision': 0.6278301886792453, 'recall': 0.6113918236104732, 'f1-score': 0.6195019781242729, 'support': 4354.0} | {'precision': 0.8007920792079208, 'recall': 0.8607918263090677, 'f1-score': 0.8297086581862947, 'support': 2349.0} | {'precision': 0.9243473101265823, 'recall': 0.9181728880157171, 'f1-score': 0.9212497535974769, 'support': 10180.0} | {'precision': 0.8998505231689088, 'recall': 0.9002542246149244, 'f1-score': 0.9000523286237572, 'support': 13374.0} | 0.8617 | {'precision': 0.8132050252956643, 'recall': 0.8226526906375455, 'f1-score': 0.8176281796329504, 'support': 30257.0} | {'precision': 0.8612582129595939, 'recall': 0.8616518491588723, 'f1-score': 0.8613517396129535, 'support': 30257.0} |
|
108 |
+
| 0.0059 | 36.0 | 2916 | 1.0221 | {'precision': 0.6272617611580217, 'recall': 0.5971520440973818, 'f1-score': 0.6118366866690199, 'support': 4354.0} | {'precision': 0.8109656301145662, 'recall': 0.8437633035334184, 'f1-score': 0.8270394325057375, 'support': 2349.0} | {'precision': 0.9288135593220339, 'recall': 0.9151277013752456, 'f1-score': 0.9219198416625434, 'support': 10180.0} | {'precision': 0.8907464437600822, 'recall': 0.908329594736055, 'f1-score': 0.8994520953650229, 'support': 13374.0} | 0.8608 | {'precision': 0.814446848588676, 'recall': 0.8160931609355251, 'f1-score': 0.8150620140505809, 'support': 30257.0} | {'precision': 0.8594447878496476, 'recall': 0.8608255940774036, 'f1-score': 0.8600016152377763, 'support': 30257.0} |
|
109 |
+
| 0.0059 | 37.0 | 2997 | 1.0784 | {'precision': 0.6126709863210943, 'recall': 0.586357372531006, 'f1-score': 0.5992254430231193, 'support': 4354.0} | {'precision': 0.7829153605015674, 'recall': 0.8505747126436781, 'f1-score': 0.8153438073862477, 'support': 2349.0} | {'precision': 0.928993490235353, 'recall': 0.9111984282907662, 'f1-score': 0.9200099181750558, 'support': 10180.0} | {'precision': 0.8924223419169187, 'recall': 0.9043666816210558, 'f1-score': 0.8983548111560886, 'support': 13374.0} | 0.8567 | {'precision': 0.8042505447437334, 'recall': 0.8131242987716265, 'f1-score': 0.8082334949351277, 'support': 30257.0} | {'precision': 0.855968793590012, 'recall': 0.8567273688733186, 'f1-score': 0.8561512507484733, 'support': 30257.0} |
|
110 |
+
| 0.0056 | 38.0 | 3078 | 1.0627 | {'precision': 0.6600834492350487, 'recall': 0.545016077170418, 'f1-score': 0.5970562334884891, 'support': 4354.0} | {'precision': 0.7832877782116361, 'recall': 0.853980417198808, 'f1-score': 0.8171079429735234, 'support': 2349.0} | {'precision': 0.9168210628961482, 'recall': 0.9235756385068762, 'f1-score': 0.9201859554685589, 'support': 10180.0} | {'precision': 0.886320959121768, 'recall': 0.917601315986242, 'f1-score': 0.9016899338721528, 'support': 13374.0} | 0.8611 | {'precision': 0.8116283123661503, 'recall': 0.810043362215586, 'f1-score': 0.809010016450681, 'support': 30257.0} | {'precision': 0.8560280681021202, 'recall': 0.8610569455002148, 'f1-score': 0.857509455693882, 'support': 30257.0} |
|
111 |
+
| 0.0056 | 39.0 | 3159 | 1.0807 | {'precision': 0.6121442975576966, 'recall': 0.6274689940284796, 'f1-score': 0.6197119201542475, 'support': 4354.0} | {'precision': 0.7752365930599369, 'recall': 0.8369518944231588, 'f1-score': 0.8049129989764585, 'support': 2349.0} | {'precision': 0.9239475774424146, 'recall': 0.9141453831041257, 'f1-score': 0.9190203436697609, 'support': 10180.0} | {'precision': 0.9063400576368876, 'recall': 0.8935995214595484, 'f1-score': 0.8999246987951808, 'support': 13374.0} | 0.8578 | {'precision': 0.8044171314242339, 'recall': 0.8180414482538281, 'f1-score': 0.8108924903989119, 'support': 30257.0} | {'precision': 0.8597509765628951, 'recall': 0.8578180255808573, 'f1-score': 0.8586504397393069, 'support': 30257.0} |
|
112 |
+
| 0.0056 | 40.0 | 3240 | 1.0857 | {'precision': 0.6403553299492386, 'recall': 0.5794671566375746, 'f1-score': 0.6083916083916084, 'support': 4354.0} | {'precision': 0.7841639871382636, 'recall': 0.8305661983822903, 'f1-score': 0.806698366756254, 'support': 2349.0} | {'precision': 0.9327577450482478, 'recall': 0.9020628683693517, 'f1-score': 0.9171535580524344, 'support': 10180.0} | {'precision': 0.8838672768878718, 'recall': 0.924181247196052, 'f1-score': 0.9035748227209591, 'support': 13374.0} | 0.8599 | {'precision': 0.8102860847559054, 'recall': 0.8090693676463172, 'f1-score': 0.808954588980314, 'support': 30257.0} | {'precision': 0.8575345578899536, 'recall': 0.8598671381828998, 'f1-score': 0.8581453688895593, 'support': 30257.0} |
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113 |
+
| 0.0056 | 41.0 | 3321 | 1.0827 | {'precision': 0.616471099521947, 'recall': 0.6515847496554892, 'f1-score': 0.633541759714158, 'support': 4354.0} | {'precision': 0.7827640984908658, 'recall': 0.8390804597701149, 'f1-score': 0.8099445243476474, 'support': 2349.0} | {'precision': 0.9238968024703655, 'recall': 0.9111001964636543, 'f1-score': 0.9174538800138484, 'support': 10180.0} | {'precision': 0.907924874026569, 'recall': 0.889187976671153, 'f1-score': 0.8984587488667273, 'support': 13374.0} | 0.8585 | {'precision': 0.8077642186274367, 'recall': 0.8227383456401028, 'f1-score': 0.8148497282355953, 'support': 30257.0} | {'precision': 0.8616414300510049, 'recall': 0.8584790296460323, 'f1-score': 0.8598561759385482, 'support': 30257.0} |
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114 |
+
| 0.0056 | 42.0 | 3402 | 1.1027 | {'precision': 0.6000876040297853, 'recall': 0.6293063849333945, 'f1-score': 0.6143497757847534, 'support': 4354.0} | {'precision': 0.7960687960687961, 'recall': 0.8275862068965517, 'f1-score': 0.8115216030056356, 'support': 2349.0} | {'precision': 0.9348998067338012, 'recall': 0.9028487229862475, 'f1-score': 0.9185947728749189, 'support': 10180.0} | {'precision': 0.8968549709345655, 'recall': 0.8998055929415283, 'f1-score': 0.8983278590624066, 'support': 13374.0} | 0.8563 | {'precision': 0.806977794441737, 'recall': 0.8148867269394304, 'f1-score': 0.8106985026819286, 'support': 30257.0} | {'precision': 0.8591256715384956, 'recall': 0.8562977162309549, 'f1-score': 0.8575428741842996, 'support': 30257.0} |
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115 |
+
| 0.0056 | 43.0 | 3483 | 1.0912 | {'precision': 0.6053575195106518, 'recall': 0.6591639871382636, 'f1-score': 0.6311159978009895, 'support': 4354.0} | {'precision': 0.8087291399229781, 'recall': 0.8045977011494253, 'f1-score': 0.8066581306017925, 'support': 2349.0} | {'precision': 0.9296835760924159, 'recall': 0.9091355599214146, 'f1-score': 0.9192947603675194, 'support': 10180.0} | {'precision': 0.904794313369631, 'recall': 0.8946463286974727, 'f1-score': 0.8996917061433192, 'support': 13374.0} | 0.8586 | {'precision': 0.8121411372239192, 'recall': 0.816885894226644, 'f1-score': 0.8141901487284051, 'support': 30257.0} | {'precision': 0.8626211898487851, 'recall': 0.8586442806623261, 'f1-score': 0.8604163182639131, 'support': 30257.0} |
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116 |
+
| 0.0038 | 44.0 | 3564 | 1.0970 | {'precision': 0.6089013115459041, 'recall': 0.6504363803399174, 'f1-score': 0.6289838978345363, 'support': 4354.0} | {'precision': 0.7846758349705305, 'recall': 0.8501489995742869, 'f1-score': 0.8161013485901104, 'support': 2349.0} | {'precision': 0.9292533413727263, 'recall': 0.9083497053045186, 'f1-score': 0.9186826287814813, 'support': 10180.0} | {'precision': 0.9074752097635392, 'recall': 0.8895618363989831, 'f1-score': 0.8984292402960278, 'support': 13374.0} | 0.8584 | {'precision': 0.807576424413175, 'recall': 0.8246242304044265, 'f1-score': 0.815549278875539, 'support': 30257.0} | {'precision': 0.8623040062586698, 'recall': 0.8584129292395148, 'f1-score': 0.860078652203599, 'support': 30257.0} |
|
117 |
+
| 0.0038 | 45.0 | 3645 | 1.0909 | {'precision': 0.6125760649087221, 'recall': 0.6242535599448783, 'f1-score': 0.6183596860425435, 'support': 4354.0} | {'precision': 0.8168358714043993, 'recall': 0.8220519369944658, 'f1-score': 0.8194356036494802, 'support': 2349.0} | {'precision': 0.9284640817553351, 'recall': 0.9103143418467583, 'f1-score': 0.9192996379147859, 'support': 10180.0} | {'precision': 0.8955844155844156, 'recall': 0.9023478390907731, 'f1-score': 0.8989534060858877, 'support': 13374.0} | 0.8588 | {'precision': 0.813365108413218, 'recall': 0.8147419194692188, 'f1-score': 0.8140120834231743, 'support': 30257.0} | {'precision': 0.8598081096882307, 'recall': 0.8587764814753611, 'f1-score': 0.8592479582565041, 'support': 30257.0} |
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118 |
+
| 0.0038 | 46.0 | 3726 | 1.0958 | {'precision': 0.613838242169238, 'recall': 0.6031235645383556, 'f1-score': 0.6084337349397592, 'support': 4354.0} | {'precision': 0.7956, 'recall': 0.8467432950191571, 'f1-score': 0.8203753351206435, 'support': 2349.0} | {'precision': 0.9285857572718155, 'recall': 0.9094302554027505, 'f1-score': 0.918908188585608, 'support': 10180.0} | {'precision': 0.8941446443111999, 'recall': 0.9031703304919994, 'f1-score': 0.8986348249823308, 'support': 13374.0} | 0.8577 | {'precision': 0.8080421609380632, 'recall': 0.8156168613630657, 'f1-score': 0.8115880209070854, 'support': 30257.0} | {'precision': 0.8577456320339072, 'recall': 0.8577188749710811, 'f1-score': 0.8576200434028913, 'support': 30257.0} |
|
119 |
+
| 0.0038 | 47.0 | 3807 | 1.0941 | {'precision': 0.6171088746569076, 'recall': 0.6196600826825908, 'f1-score': 0.6183818473527389, 'support': 4354.0} | {'precision': 0.7963466770307035, 'recall': 0.8722860791826309, 'f1-score': 0.8325883787078424, 'support': 2349.0} | {'precision': 0.9271238893880404, 'recall': 0.9122789783889981, 'f1-score': 0.9196415309204337, 'support': 10180.0} | {'precision': 0.8996615268898082, 'recall': 0.8943472409152086, 'f1-score': 0.8969965128051295, 'support': 13374.0} | 0.8591 | {'precision': 0.810060241991365, 'recall': 0.824643095292357, 'f1-score': 0.8169020674465362, 'support': 30257.0} | {'precision': 0.8602209352941748, 'recall': 0.8591400337112073, 'f1-score': 0.8595223191983462, 'support': 30257.0} |
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120 |
+
| 0.0038 | 48.0 | 3888 | 1.0953 | {'precision': 0.6142533936651584, 'recall': 0.6235645383555352, 'f1-score': 0.6188739457488033, 'support': 4354.0} | {'precision': 0.7976516634050881, 'recall': 0.8676032354193274, 'f1-score': 0.8311582381729201, 'support': 2349.0} | {'precision': 0.9256420465857057, 'recall': 0.9134577603143419, 'f1-score': 0.91950954217344, 'support': 10180.0} | {'precision': 0.9016319129646418, 'recall': 0.892328398384926, 'f1-score': 0.89695603156708, 'support': 13374.0} | 0.8588 | {'precision': 0.8097947541551485, 'recall': 0.8242384831185325, 'f1-score': 0.8166244394155608, 'support': 30257.0} | {'precision': 0.8602837119208202, 'recall': 0.8588425818818786, 'f1-score': 0.8594198025832774, 'support': 30257.0} |
|
121 |
+
| 0.0038 | 49.0 | 3969 | 1.0902 | {'precision': 0.6190804597701149, 'recall': 0.6185117133670188, 'f1-score': 0.6187959558823529, 'support': 4354.0} | {'precision': 0.7996062992125984, 'recall': 0.8646232439335888, 'f1-score': 0.8308447535283289, 'support': 2349.0} | {'precision': 0.9244590033750248, 'recall': 0.9148330058939096, 'f1-score': 0.9196208156413548, 'support': 10180.0} | {'precision': 0.9003987060859099, 'recall': 0.8949454164797368, 'f1-score': 0.8976637792027601, 'support': 13374.0} | 0.8595 | {'precision': 0.810886117110912, 'recall': 0.8232283449185636, 'f1-score': 0.8167313260636991, 'support': 30257.0} | {'precision': 0.8601869474250647, 'recall': 0.8595035859470536, 'f1-score': 0.8597345144672809, 'support': 30257.0} |
|
122 |
+
| 0.0031 | 50.0 | 4050 | 1.0920 | {'precision': 0.6182355616189177, 'recall': 0.6244832338079926, 'f1-score': 0.6213436928702011, 'support': 4354.0} | {'precision': 0.8, 'recall': 0.86504895700298, 'f1-score': 0.8312538351401105, 'support': 2349.0} | {'precision': 0.9246820349761526, 'recall': 0.9141453831041257, 'f1-score': 0.919383521043272, 'support': 10180.0} | {'precision': 0.9017729158807997, 'recall': 0.8937490653506804, 'f1-score': 0.8977430620751813, 'support': 13374.0} | 0.8596 | {'precision': 0.8111726281189675, 'recall': 0.8243566598164448, 'f1-score': 0.8174310277821912, 'support': 30257.0} | {'precision': 0.8607783894085936, 'recall': 0.8596357867600886, 'f1-score': 0.8600881004037069, 'support': 30257.0} |
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### Framework versions
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meta_data/README_s42_e50.md
CHANGED
@@ -17,12 +17,12 @@ model-index:
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name: essays_su_g
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type: essays_su_g
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config: simple
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-
split: train[
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args: simple
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metrics:
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- name: Accuracy
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type: accuracy
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-
value: 0.
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26 |
---
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27 |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
@@ -32,14 +32,14 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on the essays_su_g dataset.
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It achieves the following results on the evaluation set:
|
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- Loss: 1.
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- Claim: {'precision': 0.
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- Majorclaim: {'precision': 0.
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- O: {'precision': 0.
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- Premise: {'precision': 0.
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- Accuracy: 0.
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- Macro avg: {'precision': 0.
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- Weighted avg: {'precision': 0.
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## Model description
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@@ -68,58 +68,58 @@ The following hyperparameters were used during training:
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### Training results
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-
| Training Loss | Epoch | Step | Validation Loss | Claim | Majorclaim | O
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-
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| No log | 1.0 | 81 | 0.
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| No log | 2.0 | 162 | 0.
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| No log | 3.0 | 243 | 0.
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| No log | 4.0 | 324 | 0.
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| No log | 5.0 | 405 | 0.
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| No log | 6.0 | 486 | 0.
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| 0.0031 | 50.0 | 4050 | 1.
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### Framework versions
|
|
|
17 |
name: essays_su_g
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18 |
type: essays_su_g
|
19 |
config: simple
|
20 |
+
split: train[20%:40%]
|
21 |
args: simple
|
22 |
metrics:
|
23 |
- name: Accuracy
|
24 |
type: accuracy
|
25 |
+
value: 0.8596357867600886
|
26 |
---
|
27 |
|
28 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
32 |
|
33 |
This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on the essays_su_g dataset.
|
34 |
It achieves the following results on the evaluation set:
|
35 |
+
- Loss: 1.0920
|
36 |
+
- Claim: {'precision': 0.6182355616189177, 'recall': 0.6244832338079926, 'f1-score': 0.6213436928702011, 'support': 4354.0}
|
37 |
+
- Majorclaim: {'precision': 0.8, 'recall': 0.86504895700298, 'f1-score': 0.8312538351401105, 'support': 2349.0}
|
38 |
+
- O: {'precision': 0.9246820349761526, 'recall': 0.9141453831041257, 'f1-score': 0.919383521043272, 'support': 10180.0}
|
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+
- Premise: {'precision': 0.9017729158807997, 'recall': 0.8937490653506804, 'f1-score': 0.8977430620751813, 'support': 13374.0}
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+
- Accuracy: 0.8596
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+
- Macro avg: {'precision': 0.8111726281189675, 'recall': 0.8243566598164448, 'f1-score': 0.8174310277821912, 'support': 30257.0}
|
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+
- Weighted avg: {'precision': 0.8607783894085936, 'recall': 0.8596357867600886, 'f1-score': 0.8600881004037069, 'support': 30257.0}
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Claim | Majorclaim | O | Premise | Accuracy | Macro avg | Weighted avg |
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|:-------------:|:-----:|:----:|:---------------:|:-------------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:--------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|
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| No log | 1.0 | 81 | 0.4783 | {'precision': 0.5477537437603993, 'recall': 0.3780431786862655, 'f1-score': 0.44734338904742493, 'support': 4354.0} | {'precision': 0.5898856944925528, 'recall': 0.7249893571732652, 'f1-score': 0.6504965622612681, 'support': 2349.0} | {'precision': 0.8689081979599547, 'recall': 0.9037328094302554, 'f1-score': 0.8859784283513097, 'support': 10180.0} | {'precision': 0.859258183929738, 'recall': 0.8851502916105877, 'f1-score': 0.8720120805863504, 'support': 13374.0} | 0.8060 | {'precision': 0.7164514550356611, 'recall': 0.7229789092250934, 'f1-score': 0.7139576150615883, 'support': 30257.0} | {'precision': 0.7967665566250599, 'recall': 0.8059953068711373, 'f1-score': 0.7984036588902531, 'support': 30257.0} |
|
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+
| No log | 2.0 | 162 | 0.4242 | {'precision': 0.5281409891984082, 'recall': 0.6401010564997703, 'f1-score': 0.5787561000934482, 'support': 4354.0} | {'precision': 0.7017850892544627, 'recall': 0.8535547041294168, 'f1-score': 0.7702650787552824, 'support': 2349.0} | {'precision': 0.9206077681626081, 'recall': 0.8987229862475442, 'f1-score': 0.9095337508698677, 'support': 10180.0} | {'precision': 0.9162905211325401, 'recall': 0.8348287722446538, 'f1-score': 0.8736648538675224, 'support': 13374.0} | 0.8298 | {'precision': 0.7667060919370048, 'recall': 0.8068018797803463, 'f1-score': 0.7830549458965301, 'support': 30257.0} | {'precision': 0.8452350051608073, 'recall': 0.8297584030141786, 'f1-score': 0.8352680063880269, 'support': 30257.0} |
|
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+
| No log | 3.0 | 243 | 0.4107 | {'precision': 0.5899245558530056, 'recall': 0.5567294441892513, 'f1-score': 0.5728465083303793, 'support': 4354.0} | {'precision': 0.8017699115044248, 'recall': 0.7713920817369093, 'f1-score': 0.7862876979822088, 'support': 2349.0} | {'precision': 0.9048168445341794, 'recall': 0.9244597249508841, 'f1-score': 0.914532821534425, 'support': 10180.0} | {'precision': 0.8843330614665975, 'recall': 0.8918049947659639, 'f1-score': 0.8880533114924986, 'support': 13374.0} | 0.8452 | {'precision': 0.7952110933395518, 'recall': 0.7860965614107521, 'f1-score': 0.7904300848348779, 'support': 30257.0} | {'precision': 0.8424495118392472, 'recall': 0.8452258981392735, 'f1-score': 0.8437033615676307, 'support': 30257.0} |
|
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+
| No log | 4.0 | 324 | 0.4546 | {'precision': 0.5714596949891068, 'recall': 0.6024345429490124, 'f1-score': 0.5865384615384616, 'support': 4354.0} | {'precision': 0.7425589485890993, 'recall': 0.8177948063005535, 'f1-score': 0.7783630470016208, 'support': 2349.0} | {'precision': 0.9063411787589963, 'recall': 0.9154223968565816, 'f1-score': 0.9108591535529275, 'support': 10180.0} | {'precision': 0.9067823097358962, 'recall': 0.8677284282937042, 'f1-score': 0.8868256151612411, 'support': 13374.0} | 0.8417 | {'precision': 0.7817855330182747, 'recall': 0.8008450435999629, 'f1-score': 0.7906465693135627, 'support': 30257.0} | {'precision': 0.8456313015960876, 'recall': 0.8417225765938461, 'f1-score': 0.8432797441676475, 'support': 30257.0} |
|
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+
| No log | 5.0 | 405 | 0.4870 | {'precision': 0.5985704403965875, 'recall': 0.5962333486449242, 'f1-score': 0.597399608790703, 'support': 4354.0} | {'precision': 0.7940298507462686, 'recall': 0.7926777352064709, 'f1-score': 0.7933532168726033, 'support': 2349.0} | {'precision': 0.9042862684251358, 'recall': 0.9160117878192534, 'f1-score': 0.9101112629318758, 'support': 10180.0} | {'precision': 0.8961019377214808, 'recall': 0.8886645730521908, 'f1-score': 0.8923677591320345, 'support': 13374.0} | 0.8483 | {'precision': 0.7982471243223681, 'recall': 0.7983968611807098, 'f1-score': 0.7983079619318041, 'support': 30257.0} | {'precision': 0.8481162489521332, 'recall': 0.848332617245596, 'f1-score': 0.8482045037639816, 'support': 30257.0} |
|
78 |
+
| No log | 6.0 | 486 | 0.5424 | {'precision': 0.5903745644599303, 'recall': 0.6226458429030777, 'f1-score': 0.6060809300245921, 'support': 4354.0} | {'precision': 0.7963286713286714, 'recall': 0.7756492124308216, 'f1-score': 0.7858529221479404, 'support': 2349.0} | {'precision': 0.9398504051527115, 'recall': 0.8887033398821218, 'f1-score': 0.9135615470059578, 'support': 10180.0} | {'precision': 0.88328121591157, 'recall': 0.908180050844923, 'f1-score': 0.895557603686636, 'support': 13374.0} | 0.8502 | {'precision': 0.8024587142132208, 'recall': 0.7987946115152361, 'f1-score': 0.8002632507162816, 'support': 30257.0} | {'precision': 0.8534139871324166, 'recall': 0.8502495290346036, 'f1-score': 0.8514422719925407, 'support': 30257.0} |
|
79 |
+
| 0.35 | 7.0 | 567 | 0.5764 | {'precision': 0.6054453161052146, 'recall': 0.6026642168121268, 'f1-score': 0.6040515653775324, 'support': 4354.0} | {'precision': 0.8051063829787234, 'recall': 0.8054491272882077, 'f1-score': 0.8052777186635455, 'support': 2349.0} | {'precision': 0.9315082331548641, 'recall': 0.9057956777996071, 'f1-score': 0.9184720354599332, 'support': 10180.0} | {'precision': 0.8810881965774463, 'recall': 0.9008524001794527, 'f1-score': 0.8908606921029282, 'support': 13374.0} | 0.8522 | {'precision': 0.8057870322040621, 'recall': 0.8036903555198486, 'f1-score': 0.8046655029009848, 'support': 30257.0} | {'precision': 0.8524880574571969, 'recall': 0.8521994910268698, 'f1-score': 0.8522343290465387, 'support': 30257.0} |
|
80 |
+
| 0.35 | 8.0 | 648 | 0.5955 | {'precision': 0.6227261400448543, 'recall': 0.5739549839228296, 'f1-score': 0.597346719254213, 'support': 4354.0} | {'precision': 0.7676845767298028, 'recall': 0.8454661558109834, 'f1-score': 0.8047001620745543, 'support': 2349.0} | {'precision': 0.9258769700050838, 'recall': 0.8944990176817289, 'f1-score': 0.9099175618286286, 'support': 10180.0} | {'precision': 0.8797569092750688, 'recall': 0.9092268580828473, 'f1-score': 0.8942491542873952, 'support': 13374.0} | 0.8511 | {'precision': 0.7990111490137024, 'recall': 0.8057867538745973, 'f1-score': 0.8015533993611977, 'support': 30257.0} | {'precision': 0.8495864475589161, 'recall': 0.8510757841160723, 'f1-score': 0.8498442431569896, 'support': 30257.0} |
|
81 |
+
| 0.35 | 9.0 | 729 | 0.5690 | {'precision': 0.6213075060532688, 'recall': 0.5893431327514929, 'f1-score': 0.6049033474776048, 'support': 4354.0} | {'precision': 0.8628731343283582, 'recall': 0.787569178373776, 'f1-score': 0.823503227242377, 'support': 2349.0} | {'precision': 0.9027672479150872, 'recall': 0.9357563850687622, 'f1-score': 0.9189658498938837, 'support': 10180.0} | {'precision': 0.8970292606656243, 'recall': 0.9008524001794527, 'f1-score': 0.8989367655288193, 'support': 13374.0} | 0.8590 | {'precision': 0.8209942872405847, 'recall': 0.803380274093371, 'f1-score': 0.8115772975356712, 'support': 30257.0} | {'precision': 0.8566315824374819, 'recall': 0.8589747826949136, 'f1-score': 0.8575077142417292, 'support': 30257.0} |
|
82 |
+
| 0.35 | 10.0 | 810 | 0.7088 | {'precision': 0.6071094480823199, 'recall': 0.5962333486449242, 'f1-score': 0.60162224797219, 'support': 4354.0} | {'precision': 0.8333333333333334, 'recall': 0.7939548744146445, 'f1-score': 0.8131676477000218, 'support': 2349.0} | {'precision': 0.9338801134062373, 'recall': 0.905992141453831, 'f1-score': 0.9197247706422018, 'support': 10180.0} | {'precision': 0.884834499170693, 'recall': 0.9174517720951099, 'f1-score': 0.9008479864909512, 'support': 13374.0} | 0.8578 | {'precision': 0.8147893484981459, 'recall': 0.8034080341521274, 'f1-score': 0.8088406632013413, 'support': 30257.0} | {'precision': 0.8573728619273148, 'recall': 0.8577849753775986, 'f1-score': 0.8573332851434664, 'support': 30257.0} |
|
83 |
+
| 0.35 | 11.0 | 891 | 0.7312 | {'precision': 0.6289498141263941, 'recall': 0.6217271474506201, 'f1-score': 0.6253176253176252, 'support': 4354.0} | {'precision': 0.7318996415770609, 'recall': 0.8693060876968923, 'f1-score': 0.7947071414672116, 'support': 2349.0} | {'precision': 0.9221171261823304, 'recall': 0.900196463654224, 'f1-score': 0.9110249527786062, 'support': 10180.0} | {'precision': 0.9047258979206049, 'recall': 0.8946463286974727, 'f1-score': 0.8996578818752584, 'support': 13374.0} | 0.8553 | {'precision': 0.7969231199515976, 'recall': 0.8214690068748023, 'f1-score': 0.8076769003596753, 'support': 30257.0} | {'precision': 0.857475501606145, 'recall': 0.8552731599299336, 'f1-score': 0.8558567785115953, 'support': 30257.0} |
|
84 |
+
| 0.35 | 12.0 | 972 | 0.7092 | {'precision': 0.6395321637426901, 'recall': 0.6279283417547084, 'f1-score': 0.633677135241627, 'support': 4354.0} | {'precision': 0.7931570762052877, 'recall': 0.8684546615581098, 'f1-score': 0.8290997764681975, 'support': 2349.0} | {'precision': 0.9196243203163619, 'recall': 0.9137524557956778, 'f1-score': 0.916678984971668, 'support': 10180.0} | {'precision': 0.905603610379842, 'recall': 0.9002542246149244, 'f1-score': 0.9029209944129889, 'support': 13374.0} | 0.8631 | {'precision': 0.8144792926610454, 'recall': 0.8275974209308551, 'f1-score': 0.8205942227736204, 'support': 30257.0} | {'precision': 0.8633032778855295, 'recall': 0.8631391083055161, 'f1-score': 0.8630744313070275, 'support': 30257.0} |
|
85 |
+
| 0.063 | 13.0 | 1053 | 0.7807 | {'precision': 0.6096321393998064, 'recall': 0.5785484611851172, 'f1-score': 0.5936837143530521, 'support': 4354.0} | {'precision': 0.821270962047661, 'recall': 0.7922520221370796, 'f1-score': 0.8065005417118094, 'support': 2349.0} | {'precision': 0.9242683294780247, 'recall': 0.9027504911591355, 'f1-score': 0.9133826964170352, 'support': 10180.0} | {'precision': 0.883730957171601, 'recall': 0.9195453865709585, 'f1-score': 0.901282521069989, 'support': 13374.0} | 0.8549 | {'precision': 0.8097255970242733, 'recall': 0.7982740902630727, 'f1-score': 0.8037123683879714, 'support': 30257.0} | {'precision': 0.8530777420132861, 'recall': 0.854942657897346, 'f1-score': 0.8537315976828396, 'support': 30257.0} |
|
86 |
+
| 0.063 | 14.0 | 1134 | 0.7879 | {'precision': 0.632554945054945, 'recall': 0.6345888837850253, 'f1-score': 0.6335702820454024, 'support': 4354.0} | {'precision': 0.816793893129771, 'recall': 0.8199233716475096, 'f1-score': 0.8183556405353729, 'support': 2349.0} | {'precision': 0.9107990314769976, 'recall': 0.9237721021611002, 'f1-score': 0.9172396976347231, 'support': 10180.0} | {'precision': 0.9039073148568832, 'recall': 0.8925527142216241, 'f1-score': 0.8981941309255079, 'support': 13374.0} | 0.8603 | {'precision': 0.8160137961296492, 'recall': 0.8177092679538147, 'f1-score': 0.8168399377852517, 'support': 30257.0} | {'precision': 0.8604152313535001, 'recall': 0.8602967908252636, 'f1-score': 0.8603242501425289, 'support': 30257.0} |
|
87 |
+
| 0.063 | 15.0 | 1215 | 0.8185 | {'precision': 0.5828134433487623, 'recall': 0.6651355075792375, 'f1-score': 0.6212592513139547, 'support': 4354.0} | {'precision': 0.7765273311897106, 'recall': 0.822477650063857, 'f1-score': 0.7988422575976845, 'support': 2349.0} | {'precision': 0.9276255938542404, 'recall': 0.9014734774066797, 'f1-score': 0.9143625765954267, 'support': 10180.0} | {'precision': 0.9090416053304409, 'recall': 0.8772992373261552, 'f1-score': 0.8928883984627678, 'support': 13374.0} | 0.8506 | {'precision': 0.7990019934307886, 'recall': 0.8165964680939823, 'f1-score': 0.8068381209924584, 'support': 30257.0} | {'precision': 0.8580620487302317, 'recall': 0.8506461314737086, 'f1-score': 0.8537245501570023, 'support': 30257.0} |
|
88 |
+
| 0.063 | 16.0 | 1296 | 0.8933 | {'precision': 0.5878725590955807, 'recall': 0.6568672485071199, 'f1-score': 0.620457750298297, 'support': 4354.0} | {'precision': 0.7911741528762806, 'recall': 0.8548318433375904, 'f1-score': 0.8217720482913852, 'support': 2349.0} | {'precision': 0.9427445285758739, 'recall': 0.8928290766208251, 'f1-score': 0.9171081176529942, 'support': 10180.0} | {'precision': 0.900703852266707, 'recall': 0.8898609241812472, 'f1-score': 0.8952495580546884, 'support': 13374.0} | 0.8546 | {'precision': 0.8056237732036106, 'recall': 0.8235972731616956, 'f1-score': 0.8136468685743412, 'support': 30257.0} | {'precision': 0.8613285464033407, 'recall': 0.8546121558647586, 'f1-score': 0.8573567707758909, 'support': 30257.0} |
|
89 |
+
| 0.063 | 17.0 | 1377 | 0.8753 | {'precision': 0.6926782273603083, 'recall': 0.49540652273771246, 'f1-score': 0.577664702731655, 'support': 4354.0} | {'precision': 0.7783269961977186, 'recall': 0.8714346530438485, 'f1-score': 0.8222534645511148, 'support': 2349.0} | {'precision': 0.9185462424899045, 'recall': 0.9161100196463654, 'f1-score': 0.9173265135494024, 'support': 10180.0} | {'precision': 0.8705431754874652, 'recall': 0.9347240915208613, 'f1-score': 0.901492752578063, 'support': 13374.0} | 0.8603 | {'precision': 0.8150236603838491, 'recall': 0.8044188217371968, 'f1-score': 0.8046843583525589, 'support': 30257.0} | {'precision': 0.8539397922302876, 'recall': 0.8603298410285223, 'f1-score': 0.8540692561997597, 'support': 30257.0} |
|
90 |
+
| 0.063 | 18.0 | 1458 | 0.9685 | {'precision': 0.5981667021956939, 'recall': 0.6444648598989435, 'f1-score': 0.6204532891100056, 'support': 4354.0} | {'precision': 0.807372175980975, 'recall': 0.8671775223499362, 'f1-score': 0.8362068965517241, 'support': 2349.0} | {'precision': 0.8936068244991853, 'recall': 0.9158153241650294, 'f1-score': 0.9045747829039926, 'support': 10180.0} | {'precision': 0.9118953211736717, 'recall': 0.8598026020637057, 'f1-score': 0.8850831280788178, 'support': 13374.0} | 0.8482 | {'precision': 0.8027602559623814, 'recall': 0.8218150771194037, 'f1-score': 0.811579524161135, 'support': 30257.0} | {'precision': 0.8524817583209754, 'recall': 0.8482334666358198, 'f1-score': 0.8497662248627994, 'support': 30257.0} |
|
91 |
+
| 0.0216 | 19.0 | 1539 | 0.9391 | {'precision': 0.5946462715105163, 'recall': 0.6428571428571429, 'f1-score': 0.6178126034654013, 'support': 4354.0} | {'precision': 0.7575868372943327, 'recall': 0.8820774797786292, 'f1-score': 0.8151062155782848, 'support': 2349.0} | {'precision': 0.9213595136051032, 'recall': 0.9080550098231827, 'f1-score': 0.9146588828971454, 'support': 10180.0} | {'precision': 0.9104991394148021, 'recall': 0.870195902497383, 'f1-score': 0.8898914207065302, 'support': 13374.0} | 0.8511 | {'precision': 0.7960229404561886, 'recall': 0.8257963837390844, 'f1-score': 0.8093672806618404, 'support': 30257.0} | {'precision': 0.8568303759789367, 'recall': 0.8511418845225898, 'f1-score': 0.853266214902463, 'support': 30257.0} |
|
92 |
+
| 0.0216 | 20.0 | 1620 | 0.8916 | {'precision': 0.6064530788457169, 'recall': 0.6129995406522738, 'f1-score': 0.6097087378640776, 'support': 4354.0} | {'precision': 0.7802114803625377, 'recall': 0.8795232013622818, 'f1-score': 0.8268961376826096, 'support': 2349.0} | {'precision': 0.9370494466443293, 'recall': 0.906581532416503, 'f1-score': 0.9215637325877477, 'support': 10180.0} | {'precision': 0.8971479901190209, 'recall': 0.8961417676087932, 'f1-score': 0.896644596566042, 'support': 13374.0} | 0.8576 | {'precision': 0.8052154989929012, 'recall': 0.8238115105099629, 'f1-score': 0.8137033011751192, 'support': 30257.0} | {'precision': 0.8596633525913644, 'recall': 0.8576197243613048, 'f1-score': 0.8583235120565212, 'support': 30257.0} |
|
93 |
+
| 0.0216 | 21.0 | 1701 | 0.9741 | {'precision': 0.5754014884449667, 'recall': 0.6747818098300413, 'f1-score': 0.6211416490486258, 'support': 4354.0} | {'precision': 0.7965964343598055, 'recall': 0.8369518944231588, 'f1-score': 0.8162756902636495, 'support': 2349.0} | {'precision': 0.9325935059597205, 'recall': 0.8915520628683693, 'f1-score': 0.911611088790679, 'support': 10180.0} | {'precision': 0.9030190718863408, 'recall': 0.8744579033946464, 'f1-score': 0.8885090218423553, 'support': 13374.0} | 0.8486 | {'precision': 0.8019026251627084, 'recall': 0.8194359176290539, 'f1-score': 0.8093843624863275, 'support': 30257.0} | {'precision': 0.8575629461968616, 'recall': 0.8485639686684073, 'f1-score': 0.852199586158436, 'support': 30257.0} |
|
94 |
+
| 0.0216 | 22.0 | 1782 | 0.9676 | {'precision': 0.6028274795670422, 'recall': 0.6267799724391364, 'f1-score': 0.6145704312577412, 'support': 4354.0} | {'precision': 0.784251968503937, 'recall': 0.8480204342273308, 'f1-score': 0.8148905706688483, 'support': 2349.0} | {'precision': 0.9137847053093034, 'recall': 0.9214145383104125, 'f1-score': 0.9175837613108339, 'support': 10180.0} | {'precision': 0.9070019342359767, 'recall': 0.876551517870495, 'f1-score': 0.8915167877105593, 'support': 13374.0} | 0.8535 | {'precision': 0.8019665219040648, 'recall': 0.8181916157118437, 'f1-score': 0.8096403877369956, 'support': 30257.0} | {'precision': 0.8559834381654265, 'recall': 0.853488448953961, 'f1-score': 0.8544854353433136, 'support': 30257.0} |
|
95 |
+
| 0.0216 | 23.0 | 1863 | 0.9898 | {'precision': 0.6113108075724898, 'recall': 0.5858980248047773, 'f1-score': 0.5983347015362965, 'support': 4354.0} | {'precision': 0.8553230209281165, 'recall': 0.800340570455513, 'f1-score': 0.8269188475918188, 'support': 2349.0} | {'precision': 0.9227514268844715, 'recall': 0.9211198428290767, 'f1-score': 0.9219349129879069, 'support': 10180.0} | {'precision': 0.8835616438356164, 'recall': 0.9066846119336025, 'f1-score': 0.8949737988043397, 'support': 13374.0} | 0.8571 | {'precision': 0.8182367248051736, 'recall': 0.8035107625057423, 'f1-score': 0.8105405652300904, 'support': 30257.0} | {'precision': 0.8553777302003576, 'recall': 0.8571239713124236, 'f1-score': 0.8560749136698399, 'support': 30257.0} |
|
96 |
+
| 0.0216 | 24.0 | 1944 | 0.9720 | {'precision': 0.6016132646202106, 'recall': 0.6166743224621039, 'f1-score': 0.6090506975161619, 'support': 4354.0} | {'precision': 0.7454477889260498, 'recall': 0.853980417198808, 'f1-score': 0.7960317460317461, 'support': 2349.0} | {'precision': 0.9310592091784471, 'recall': 0.8928290766208251, 'f1-score': 0.9115434760806339, 'support': 10180.0} | {'precision': 0.9006821077880219, 'recall': 0.89845969792134, 'f1-score': 0.8995695302264645, 'support': 13374.0} | 0.8526 | {'precision': 0.7947005926281823, 'recall': 0.8154858785507693, 'f1-score': 0.8040488624637516, 'support': 30257.0} | {'precision': 0.8558147294621835, 'recall': 0.852563043262716, 'f1-score': 0.8537541987693271, 'support': 30257.0} |
|
97 |
+
| 0.0116 | 25.0 | 2025 | 1.0132 | {'precision': 0.6326429980276134, 'recall': 0.5893431327514929, 'f1-score': 0.6102259215219976, 'support': 4354.0} | {'precision': 0.8006714225765842, 'recall': 0.8122605363984674, 'f1-score': 0.8064243448858834, 'support': 2349.0} | {'precision': 0.9298989898989899, 'recall': 0.9043222003929273, 'f1-score': 0.9169322709163347, 'support': 10180.0} | {'precision': 0.8818077309958328, 'recall': 0.917676087931808, 'f1-score': 0.8993844349992672, 'support': 13374.0} | 0.8578 | {'precision': 0.811255285374755, 'recall': 0.8059004893686739, 'f1-score': 0.8082417430808707, 'support': 30257.0} | {'precision': 0.8558341242209939, 'recall': 0.8577519251743398, 'f1-score': 0.8564613940592988, 'support': 30257.0} |
|
98 |
+
| 0.0116 | 26.0 | 2106 | 1.0290 | {'precision': 0.6006185111552905, 'recall': 0.6244832338079926, 'f1-score': 0.6123184326089406, 'support': 4354.0} | {'precision': 0.8013876843018214, 'recall': 0.7867177522349936, 'f1-score': 0.7939849624060151, 'support': 2349.0} | {'precision': 0.93204469948656, 'recall': 0.9094302554027505, 'f1-score': 0.9205986178093769, 'support': 10180.0} | {'precision': 0.8957082499444073, 'recall': 0.9035441902198296, 'f1-score': 0.8996091568955891, 'support': 13374.0} | 0.8563 | {'precision': 0.8074397862220198, 'recall': 0.8060438579163915, 'f1-score': 0.8066277924299805, 'support': 30257.0} | {'precision': 0.8581475309358099, 'recall': 0.8562977162309549, 'f1-score': 0.8571296534981037, 'support': 30257.0} |
|
99 |
+
| 0.0116 | 27.0 | 2187 | 1.0471 | {'precision': 0.6480063374702931, 'recall': 0.5636196600826826, 'f1-score': 0.6028743397617001, 'support': 4354.0} | {'precision': 0.8347863993025283, 'recall': 0.8152405278842061, 'f1-score': 0.8248976954555244, 'support': 2349.0} | {'precision': 0.9111240197502178, 'recall': 0.9244597249508841, 'f1-score': 0.9177434297137843, 'support': 10180.0} | {'precision': 0.883512674225464, 'recall': 0.9147599820547331, 'f1-score': 0.8988648469931302, 'support': 13374.0} | 0.8598 | {'precision': 0.8193573576871258, 'recall': 0.8045199737431264, 'f1-score': 0.8110950779810349, 'support': 30257.0} | {'precision': 0.8551301805022264, 'recall': 0.8597679875731236, 'f1-score': 0.8568809247486504, 'support': 30257.0} |
|
100 |
+
| 0.0116 | 28.0 | 2268 | 1.0588 | {'precision': 0.6152253909843606, 'recall': 0.6143775838309601, 'f1-score': 0.6148011951275568, 'support': 4354.0} | {'precision': 0.7258282623394186, 'recall': 0.9140059599829715, 'f1-score': 0.80912003014886, 'support': 2349.0} | {'precision': 0.9418216001671192, 'recall': 0.8857563850687623, 'f1-score': 0.9129290270324997, 'support': 10180.0} | {'precision': 0.8978844284966734, 'recall': 0.8980858381935098, 'f1-score': 0.897985122051512, 'support': 13374.0} | 0.8543 | {'precision': 0.7951899204968929, 'recall': 0.8280564417690509, 'f1-score': 0.8087088435901071, 'support': 30257.0} | {'precision': 0.8586347680535737, 'recall': 0.8543477542386886, 'f1-score': 0.8553636471531488, 'support': 30257.0} |
|
101 |
+
| 0.0116 | 29.0 | 2349 | 1.0133 | {'precision': 0.6220508166969148, 'recall': 0.6297657326596233, 'f1-score': 0.6258845012554212, 'support': 4354.0} | {'precision': 0.7991071428571429, 'recall': 0.8382290336313325, 'f1-score': 0.8182007064201122, 'support': 2349.0} | {'precision': 0.9275189167662286, 'recall': 0.9151277013752456, 'f1-score': 0.9212816455696202, 'support': 10180.0} | {'precision': 0.8988831421932388, 'recall': 0.8966651712277554, 'f1-score': 0.8977727868238817, 'support': 13374.0} | 0.8599 | {'precision': 0.8118900046283812, 'recall': 0.8199469097234893, 'f1-score': 0.8157849100172588, 'support': 30257.0} | {'precision': 0.8609352431120858, 'recall': 0.8599332385894173, 'f1-score': 0.860379911449525, 'support': 30257.0} |
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102 |
+
| 0.0116 | 30.0 | 2430 | 1.0924 | {'precision': 0.5691448382126348, 'recall': 0.6786862655029857, 'f1-score': 0.6191074795725958, 'support': 4354.0} | {'precision': 0.7735177865612648, 'recall': 0.8331204767986378, 'f1-score': 0.802213568354171, 'support': 2349.0} | {'precision': 0.9313517338995047, 'recall': 0.9049115913555992, 'f1-score': 0.9179413083553385, 'support': 10180.0} | {'precision': 0.9156912369503322, 'recall': 0.8657095857634216, 'f1-score': 0.8899992313014068, 'support': 13374.0} | 0.8495 | {'precision': 0.797426398905934, 'recall': 0.8206069798551611, 'f1-score': 0.8073153968958781, 'support': 30257.0} | {'precision': 0.8600543728816776, 'recall': 0.8494563241563936, 'f1-score': 0.853603657884304, 'support': 30257.0} |
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103 |
+
| 0.0059 | 31.0 | 2511 | 1.0502 | {'precision': 0.5720296533760769, 'recall': 0.655718879191548, 'f1-score': 0.6110219368646335, 'support': 4354.0} | {'precision': 0.7757296466973886, 'recall': 0.8599404001702853, 'f1-score': 0.8156672723601858, 'support': 2349.0} | {'precision': 0.9318525996971226, 'recall': 0.906679764243615, 'f1-score': 0.9190938511326862, 'support': 10180.0} | {'precision': 0.9120482872148624, 'recall': 0.8699715866606849, 'f1-score': 0.890513183575064, 'support': 13374.0} | 0.8507 | {'precision': 0.7979150467463627, 'recall': 0.8230776575665333, 'f1-score': 0.8090740609831424, 'support': 30257.0} | {'precision': 0.8591995012400396, 'recall': 0.850712231880226, 'f1-score': 0.8540995689442556, 'support': 30257.0} |
|
104 |
+
| 0.0059 | 32.0 | 2592 | 1.0192 | {'precision': 0.6272174353775976, 'recall': 0.5684428112080845, 'f1-score': 0.5963855421686747, 'support': 4354.0} | {'precision': 0.8004073319755601, 'recall': 0.8365261813537676, 'f1-score': 0.8180682764363031, 'support': 2349.0} | {'precision': 0.9323861346231358, 'recall': 0.9089390962671906, 'f1-score': 0.9205133306804616, 'support': 10180.0} | {'precision': 0.8845822566752799, 'recall': 0.9214894571556752, 'f1-score': 0.9026587563172929, 'support': 13374.0} | 0.8599 | {'precision': 0.8111482896628934, 'recall': 0.8088493864961794, 'f1-score': 0.8094064764006831, 'support': 30257.0} | {'precision': 0.8570960600087044, 'recall': 0.8598671381828998, 'f1-score': 0.8580258765001771, 'support': 30257.0} |
|
105 |
+
| 0.0059 | 33.0 | 2673 | 1.0604 | {'precision': 0.618805002315887, 'recall': 0.6136885622416169, 'f1-score': 0.6162361623616236, 'support': 4354.0} | {'precision': 0.8121931260229133, 'recall': 0.8450404427415922, 'f1-score': 0.8282912580847068, 'support': 2349.0} | {'precision': 0.9235939507759218, 'recall': 0.9178781925343812, 'f1-score': 0.9207272010641968, 'support': 10180.0} | {'precision': 0.8986395574824338, 'recall': 0.8989083295947361, 'f1-score': 0.8987739234449761, 'support': 13374.0} | 0.8601 | {'precision': 0.813307909149289, 'recall': 0.8188788817780815, 'f1-score': 0.8160071362388759, 'support': 30257.0} | {'precision': 0.8600558711630416, 'recall': 0.8600654394024523, 'f1-score': 0.8600308614585094, 'support': 30257.0} |
|
106 |
+
| 0.0059 | 34.0 | 2754 | 1.0024 | {'precision': 0.5991000642811227, 'recall': 0.6421681212677998, 'f1-score': 0.6198869304955105, 'support': 4354.0} | {'precision': 0.7872755659640905, 'recall': 0.8586632609621115, 'f1-score': 0.8214212991244145, 'support': 2349.0} | {'precision': 0.9350253807106599, 'recall': 0.9047151277013753, 'f1-score': 0.9196205691462807, 'support': 10180.0} | {'precision': 0.9040825618455001, 'recall': 0.8908329594736055, 'f1-score': 0.897408858089786, 'support': 13374.0} | 0.8572 | {'precision': 0.8063708932003434, 'recall': 0.8240948673512231, 'f1-score': 0.8145844142139979, 'support': 30257.0} | {'precision': 0.8615378438736785, 'recall': 0.8572231219221998, 'f1-score': 0.8590471556672056, 'support': 30257.0} |
|
107 |
+
| 0.0059 | 35.0 | 2835 | 1.0053 | {'precision': 0.6278301886792453, 'recall': 0.6113918236104732, 'f1-score': 0.6195019781242729, 'support': 4354.0} | {'precision': 0.8007920792079208, 'recall': 0.8607918263090677, 'f1-score': 0.8297086581862947, 'support': 2349.0} | {'precision': 0.9243473101265823, 'recall': 0.9181728880157171, 'f1-score': 0.9212497535974769, 'support': 10180.0} | {'precision': 0.8998505231689088, 'recall': 0.9002542246149244, 'f1-score': 0.9000523286237572, 'support': 13374.0} | 0.8617 | {'precision': 0.8132050252956643, 'recall': 0.8226526906375455, 'f1-score': 0.8176281796329504, 'support': 30257.0} | {'precision': 0.8612582129595939, 'recall': 0.8616518491588723, 'f1-score': 0.8613517396129535, 'support': 30257.0} |
|
108 |
+
| 0.0059 | 36.0 | 2916 | 1.0221 | {'precision': 0.6272617611580217, 'recall': 0.5971520440973818, 'f1-score': 0.6118366866690199, 'support': 4354.0} | {'precision': 0.8109656301145662, 'recall': 0.8437633035334184, 'f1-score': 0.8270394325057375, 'support': 2349.0} | {'precision': 0.9288135593220339, 'recall': 0.9151277013752456, 'f1-score': 0.9219198416625434, 'support': 10180.0} | {'precision': 0.8907464437600822, 'recall': 0.908329594736055, 'f1-score': 0.8994520953650229, 'support': 13374.0} | 0.8608 | {'precision': 0.814446848588676, 'recall': 0.8160931609355251, 'f1-score': 0.8150620140505809, 'support': 30257.0} | {'precision': 0.8594447878496476, 'recall': 0.8608255940774036, 'f1-score': 0.8600016152377763, 'support': 30257.0} |
|
109 |
+
| 0.0059 | 37.0 | 2997 | 1.0784 | {'precision': 0.6126709863210943, 'recall': 0.586357372531006, 'f1-score': 0.5992254430231193, 'support': 4354.0} | {'precision': 0.7829153605015674, 'recall': 0.8505747126436781, 'f1-score': 0.8153438073862477, 'support': 2349.0} | {'precision': 0.928993490235353, 'recall': 0.9111984282907662, 'f1-score': 0.9200099181750558, 'support': 10180.0} | {'precision': 0.8924223419169187, 'recall': 0.9043666816210558, 'f1-score': 0.8983548111560886, 'support': 13374.0} | 0.8567 | {'precision': 0.8042505447437334, 'recall': 0.8131242987716265, 'f1-score': 0.8082334949351277, 'support': 30257.0} | {'precision': 0.855968793590012, 'recall': 0.8567273688733186, 'f1-score': 0.8561512507484733, 'support': 30257.0} |
|
110 |
+
| 0.0056 | 38.0 | 3078 | 1.0627 | {'precision': 0.6600834492350487, 'recall': 0.545016077170418, 'f1-score': 0.5970562334884891, 'support': 4354.0} | {'precision': 0.7832877782116361, 'recall': 0.853980417198808, 'f1-score': 0.8171079429735234, 'support': 2349.0} | {'precision': 0.9168210628961482, 'recall': 0.9235756385068762, 'f1-score': 0.9201859554685589, 'support': 10180.0} | {'precision': 0.886320959121768, 'recall': 0.917601315986242, 'f1-score': 0.9016899338721528, 'support': 13374.0} | 0.8611 | {'precision': 0.8116283123661503, 'recall': 0.810043362215586, 'f1-score': 0.809010016450681, 'support': 30257.0} | {'precision': 0.8560280681021202, 'recall': 0.8610569455002148, 'f1-score': 0.857509455693882, 'support': 30257.0} |
|
111 |
+
| 0.0056 | 39.0 | 3159 | 1.0807 | {'precision': 0.6121442975576966, 'recall': 0.6274689940284796, 'f1-score': 0.6197119201542475, 'support': 4354.0} | {'precision': 0.7752365930599369, 'recall': 0.8369518944231588, 'f1-score': 0.8049129989764585, 'support': 2349.0} | {'precision': 0.9239475774424146, 'recall': 0.9141453831041257, 'f1-score': 0.9190203436697609, 'support': 10180.0} | {'precision': 0.9063400576368876, 'recall': 0.8935995214595484, 'f1-score': 0.8999246987951808, 'support': 13374.0} | 0.8578 | {'precision': 0.8044171314242339, 'recall': 0.8180414482538281, 'f1-score': 0.8108924903989119, 'support': 30257.0} | {'precision': 0.8597509765628951, 'recall': 0.8578180255808573, 'f1-score': 0.8586504397393069, 'support': 30257.0} |
|
112 |
+
| 0.0056 | 40.0 | 3240 | 1.0857 | {'precision': 0.6403553299492386, 'recall': 0.5794671566375746, 'f1-score': 0.6083916083916084, 'support': 4354.0} | {'precision': 0.7841639871382636, 'recall': 0.8305661983822903, 'f1-score': 0.806698366756254, 'support': 2349.0} | {'precision': 0.9327577450482478, 'recall': 0.9020628683693517, 'f1-score': 0.9171535580524344, 'support': 10180.0} | {'precision': 0.8838672768878718, 'recall': 0.924181247196052, 'f1-score': 0.9035748227209591, 'support': 13374.0} | 0.8599 | {'precision': 0.8102860847559054, 'recall': 0.8090693676463172, 'f1-score': 0.808954588980314, 'support': 30257.0} | {'precision': 0.8575345578899536, 'recall': 0.8598671381828998, 'f1-score': 0.8581453688895593, 'support': 30257.0} |
|
113 |
+
| 0.0056 | 41.0 | 3321 | 1.0827 | {'precision': 0.616471099521947, 'recall': 0.6515847496554892, 'f1-score': 0.633541759714158, 'support': 4354.0} | {'precision': 0.7827640984908658, 'recall': 0.8390804597701149, 'f1-score': 0.8099445243476474, 'support': 2349.0} | {'precision': 0.9238968024703655, 'recall': 0.9111001964636543, 'f1-score': 0.9174538800138484, 'support': 10180.0} | {'precision': 0.907924874026569, 'recall': 0.889187976671153, 'f1-score': 0.8984587488667273, 'support': 13374.0} | 0.8585 | {'precision': 0.8077642186274367, 'recall': 0.8227383456401028, 'f1-score': 0.8148497282355953, 'support': 30257.0} | {'precision': 0.8616414300510049, 'recall': 0.8584790296460323, 'f1-score': 0.8598561759385482, 'support': 30257.0} |
|
114 |
+
| 0.0056 | 42.0 | 3402 | 1.1027 | {'precision': 0.6000876040297853, 'recall': 0.6293063849333945, 'f1-score': 0.6143497757847534, 'support': 4354.0} | {'precision': 0.7960687960687961, 'recall': 0.8275862068965517, 'f1-score': 0.8115216030056356, 'support': 2349.0} | {'precision': 0.9348998067338012, 'recall': 0.9028487229862475, 'f1-score': 0.9185947728749189, 'support': 10180.0} | {'precision': 0.8968549709345655, 'recall': 0.8998055929415283, 'f1-score': 0.8983278590624066, 'support': 13374.0} | 0.8563 | {'precision': 0.806977794441737, 'recall': 0.8148867269394304, 'f1-score': 0.8106985026819286, 'support': 30257.0} | {'precision': 0.8591256715384956, 'recall': 0.8562977162309549, 'f1-score': 0.8575428741842996, 'support': 30257.0} |
|
115 |
+
| 0.0056 | 43.0 | 3483 | 1.0912 | {'precision': 0.6053575195106518, 'recall': 0.6591639871382636, 'f1-score': 0.6311159978009895, 'support': 4354.0} | {'precision': 0.8087291399229781, 'recall': 0.8045977011494253, 'f1-score': 0.8066581306017925, 'support': 2349.0} | {'precision': 0.9296835760924159, 'recall': 0.9091355599214146, 'f1-score': 0.9192947603675194, 'support': 10180.0} | {'precision': 0.904794313369631, 'recall': 0.8946463286974727, 'f1-score': 0.8996917061433192, 'support': 13374.0} | 0.8586 | {'precision': 0.8121411372239192, 'recall': 0.816885894226644, 'f1-score': 0.8141901487284051, 'support': 30257.0} | {'precision': 0.8626211898487851, 'recall': 0.8586442806623261, 'f1-score': 0.8604163182639131, 'support': 30257.0} |
|
116 |
+
| 0.0038 | 44.0 | 3564 | 1.0970 | {'precision': 0.6089013115459041, 'recall': 0.6504363803399174, 'f1-score': 0.6289838978345363, 'support': 4354.0} | {'precision': 0.7846758349705305, 'recall': 0.8501489995742869, 'f1-score': 0.8161013485901104, 'support': 2349.0} | {'precision': 0.9292533413727263, 'recall': 0.9083497053045186, 'f1-score': 0.9186826287814813, 'support': 10180.0} | {'precision': 0.9074752097635392, 'recall': 0.8895618363989831, 'f1-score': 0.8984292402960278, 'support': 13374.0} | 0.8584 | {'precision': 0.807576424413175, 'recall': 0.8246242304044265, 'f1-score': 0.815549278875539, 'support': 30257.0} | {'precision': 0.8623040062586698, 'recall': 0.8584129292395148, 'f1-score': 0.860078652203599, 'support': 30257.0} |
|
117 |
+
| 0.0038 | 45.0 | 3645 | 1.0909 | {'precision': 0.6125760649087221, 'recall': 0.6242535599448783, 'f1-score': 0.6183596860425435, 'support': 4354.0} | {'precision': 0.8168358714043993, 'recall': 0.8220519369944658, 'f1-score': 0.8194356036494802, 'support': 2349.0} | {'precision': 0.9284640817553351, 'recall': 0.9103143418467583, 'f1-score': 0.9192996379147859, 'support': 10180.0} | {'precision': 0.8955844155844156, 'recall': 0.9023478390907731, 'f1-score': 0.8989534060858877, 'support': 13374.0} | 0.8588 | {'precision': 0.813365108413218, 'recall': 0.8147419194692188, 'f1-score': 0.8140120834231743, 'support': 30257.0} | {'precision': 0.8598081096882307, 'recall': 0.8587764814753611, 'f1-score': 0.8592479582565041, 'support': 30257.0} |
|
118 |
+
| 0.0038 | 46.0 | 3726 | 1.0958 | {'precision': 0.613838242169238, 'recall': 0.6031235645383556, 'f1-score': 0.6084337349397592, 'support': 4354.0} | {'precision': 0.7956, 'recall': 0.8467432950191571, 'f1-score': 0.8203753351206435, 'support': 2349.0} | {'precision': 0.9285857572718155, 'recall': 0.9094302554027505, 'f1-score': 0.918908188585608, 'support': 10180.0} | {'precision': 0.8941446443111999, 'recall': 0.9031703304919994, 'f1-score': 0.8986348249823308, 'support': 13374.0} | 0.8577 | {'precision': 0.8080421609380632, 'recall': 0.8156168613630657, 'f1-score': 0.8115880209070854, 'support': 30257.0} | {'precision': 0.8577456320339072, 'recall': 0.8577188749710811, 'f1-score': 0.8576200434028913, 'support': 30257.0} |
|
119 |
+
| 0.0038 | 47.0 | 3807 | 1.0941 | {'precision': 0.6171088746569076, 'recall': 0.6196600826825908, 'f1-score': 0.6183818473527389, 'support': 4354.0} | {'precision': 0.7963466770307035, 'recall': 0.8722860791826309, 'f1-score': 0.8325883787078424, 'support': 2349.0} | {'precision': 0.9271238893880404, 'recall': 0.9122789783889981, 'f1-score': 0.9196415309204337, 'support': 10180.0} | {'precision': 0.8996615268898082, 'recall': 0.8943472409152086, 'f1-score': 0.8969965128051295, 'support': 13374.0} | 0.8591 | {'precision': 0.810060241991365, 'recall': 0.824643095292357, 'f1-score': 0.8169020674465362, 'support': 30257.0} | {'precision': 0.8602209352941748, 'recall': 0.8591400337112073, 'f1-score': 0.8595223191983462, 'support': 30257.0} |
|
120 |
+
| 0.0038 | 48.0 | 3888 | 1.0953 | {'precision': 0.6142533936651584, 'recall': 0.6235645383555352, 'f1-score': 0.6188739457488033, 'support': 4354.0} | {'precision': 0.7976516634050881, 'recall': 0.8676032354193274, 'f1-score': 0.8311582381729201, 'support': 2349.0} | {'precision': 0.9256420465857057, 'recall': 0.9134577603143419, 'f1-score': 0.91950954217344, 'support': 10180.0} | {'precision': 0.9016319129646418, 'recall': 0.892328398384926, 'f1-score': 0.89695603156708, 'support': 13374.0} | 0.8588 | {'precision': 0.8097947541551485, 'recall': 0.8242384831185325, 'f1-score': 0.8166244394155608, 'support': 30257.0} | {'precision': 0.8602837119208202, 'recall': 0.8588425818818786, 'f1-score': 0.8594198025832774, 'support': 30257.0} |
|
121 |
+
| 0.0038 | 49.0 | 3969 | 1.0902 | {'precision': 0.6190804597701149, 'recall': 0.6185117133670188, 'f1-score': 0.6187959558823529, 'support': 4354.0} | {'precision': 0.7996062992125984, 'recall': 0.8646232439335888, 'f1-score': 0.8308447535283289, 'support': 2349.0} | {'precision': 0.9244590033750248, 'recall': 0.9148330058939096, 'f1-score': 0.9196208156413548, 'support': 10180.0} | {'precision': 0.9003987060859099, 'recall': 0.8949454164797368, 'f1-score': 0.8976637792027601, 'support': 13374.0} | 0.8595 | {'precision': 0.810886117110912, 'recall': 0.8232283449185636, 'f1-score': 0.8167313260636991, 'support': 30257.0} | {'precision': 0.8601869474250647, 'recall': 0.8595035859470536, 'f1-score': 0.8597345144672809, 'support': 30257.0} |
|
122 |
+
| 0.0031 | 50.0 | 4050 | 1.0920 | {'precision': 0.6182355616189177, 'recall': 0.6244832338079926, 'f1-score': 0.6213436928702011, 'support': 4354.0} | {'precision': 0.8, 'recall': 0.86504895700298, 'f1-score': 0.8312538351401105, 'support': 2349.0} | {'precision': 0.9246820349761526, 'recall': 0.9141453831041257, 'f1-score': 0.919383521043272, 'support': 10180.0} | {'precision': 0.9017729158807997, 'recall': 0.8937490653506804, 'f1-score': 0.8977430620751813, 'support': 13374.0} | 0.8596 | {'precision': 0.8111726281189675, 'recall': 0.8243566598164448, 'f1-score': 0.8174310277821912, 'support': 30257.0} | {'precision': 0.8607783894085936, 'recall': 0.8596357867600886, 'f1-score': 0.8600881004037069, 'support': 30257.0} |
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### Framework versions
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