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---
license: other
base_model: nvidia/mit-b1
tags:
- generated_from_trainer
model-index:
- name: segformer-b0-finetuned
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# segformer-b0-finetuned
This model is a fine-tuned version of [nvidia/mit-b1](https://huggingface.co/nvidia/mit-b1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6038
- Mean Iou: 0.1199
- Mean Accuracy: 0.2065
- Overall Accuracy: 0.6525
- Per Category Iou: [0.8669788683334624, nan, nan, 0.030065941273615292, 0.0, 0.0, nan, nan, 0.23330686173439943, 0.0, 0.000204163702168466, nan, 0.0, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, nan, 0.7428032878804147, nan, nan, nan, nan, nan, nan, 0.10840996691857112, nan, nan, nan, nan, nan, nan, 0.24122919022776745, nan, 0.34139543133702444, 0.005551996583386718, 0.1775911598464498, 0.0, 0.0, nan, 0.14108439499726874, nan, 0.0, nan, nan, 0.0, 0.5255787550368084, 0.0, nan, 0.0, 0.0, nan, nan, nan, 0.26254163246435885, 0.015908289023280574, nan, nan, 0.23840487925189263, 0.0, nan, 0.3086167285212957, nan, nan, 0.0, nan, 0.0, nan, 0.17231257026997784, nan, 0.0, nan, 0.5303162298293482, 0.39087668636917383, nan, 0.2975137601731194, 0.0, 0.0, nan, nan, nan, 0.0, 0.12317720154334998, nan, 0.0, nan, nan, nan, nan, nan, 0.0, 0.0]
- Per Category Accuracy: [0.976378263269974, nan, nan, 0.18856974950415045, 0.0, 0.0, nan, nan, 0.3908459142104002, 0.0, 0.00032898672089962913, nan, 0.0, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, nan, 0.7463380720638649, nan, nan, nan, nan, nan, nan, 0.14583361685333623, nan, nan, nan, nan, nan, nan, 0.24130548493437298, nan, 0.408149045743714, 0.009355692850838482, 0.5353040343297525, 0.0, 0.0, nan, 0.37488879684489185, nan, 0.0, nan, nan, 0.0, 0.8113074440488159, nan, nan, 0.0, 0.0, nan, nan, nan, 0.9759627750368275, 0.01816556106491184, nan, nan, 0.36141001267427125, 0.0, nan, 0.6382502041048814, nan, nan, 0.0, nan, 0.0, nan, 0.48950927460308974, nan, 0.0, nan, 0.5663991838546808, 0.4074788334901223, nan, 0.8854392719635982, 0.0, 0.0, nan, nan, nan, 0.0, 0.12317720154334998, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0]
## 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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Per Category Iou | Per Category Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|
| 2.1149 | 1.0 | 80 | 1.8048 | 0.0732 | 0.1529 | 0.6289 | [0.8736619439843558, nan, nan, 0.01658964546176619, 0.0, 0.0, nan, nan, 0.1912761703398984, 0.0, 0.0, nan, 0.0, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0046681254558716264, nan, 0.013088976886729452, 0.008587565705211004, 0.15924380466797372, 0.0, 0.0, nan, 0.11459680357793511, nan, 0.0, nan, nan, 0.0, 0.4610904972265369, 0.0, nan, 0.0, 0.0, nan, nan, nan, 0.24931922267607376, 0.0009228426360315662, nan, nan, 0.2342396585086328, 0.0, nan, 0.24039471825770026, nan, nan, 0.0, nan, 0.0, nan, 0.06068934707236299, nan, 0.0, nan, 0.5996009803568787, 0.051452262828127544, nan, 0.15643914874818618, 0.0, 0.0, nan, nan, nan, 0.0, 0.0055372398879790135, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0] | [0.9696853969812571, nan, nan, 0.0675089987511937, 0.0, 0.0, nan, nan, 0.20632638389647737, 0.0, 0.0, nan, 0.0, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.004671135061491114, nan, 0.013730687670402909, 0.010720347613551498, 0.6514406235404017, 0.0, 0.0, nan, 0.2888580741594482, nan, 0.0, nan, nan, 0.0, 0.782433355737878, nan, nan, 0.0, 0.0, nan, nan, nan, 0.9419645988729628, 0.0009294829883408198, nan, nan, 0.5362262357414449, 0.0, nan, 0.6624627389925762, nan, nan, 0.0, nan, 0.0, nan, 0.08351151975196451, nan, 0.0, nan, 0.708308340457287, 0.051952022577610536, nan, 0.892439621981099, 0.0, 0.0, nan, nan, nan, 0.0, 0.00553932137993645, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0] |
| 1.5206 | 2.0 | 160 | 1.7550 | 0.0639 | 0.1423 | 0.6195 | [0.8733430903330605, nan, nan, 0.016860953939146044, 0.0, 0.0, nan, nan, 0.027554878352688203, 0.0, 0.0, nan, 0.0, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, nan, 0.015172760939129185, nan, nan, nan, nan, nan, nan, 0.0045015639874881, nan, nan, nan, nan, nan, nan, 0.02250416631187125, nan, 0.01373841904185018, 0.00546973801781947, 0.1815965766038273, 0.0001100374127203249, 0.0, nan, 0.06351091770897221, nan, 0.0, nan, nan, 0.0, 0.3753663997045722, 0.0, nan, 0.0, 0.0, nan, nan, nan, 0.27932395714066, 0.0, nan, nan, 0.2992006214672385, 0.0, nan, 0.20936607954820918, nan, nan, 0.0, nan, 0.0, nan, 0.05353330055983975, nan, 0.0, nan, 0.4250536254231886, 0.024176919765255024, nan, 0.1721493996180859, 0.0, 0.0, nan, nan, nan, 0.0, 0.0033831706763504314, nan, 0.0, nan, nan, nan, nan, nan, 0.0, 0.0] | [0.9611041653851771, nan, nan, 0.05450672151619775, 0.0, 0.0, nan, nan, 0.03197897816009321, 0.0, 0.0, nan, 0.0, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, nan, 0.01517512526071009, nan, nan, nan, nan, nan, nan, 0.004504565806126754, nan, nan, nan, nan, nan, nan, 0.02250416631187125, nan, 0.014257043320205998, 0.006504175436214271, 0.7448330219523587, 0.00011004071506457389, 0.0, nan, 0.14135316681373697, nan, 0.0, nan, nan, 0.0, 0.9034123417563311, nan, nan, 0.0, 0.0, nan, nan, nan, 0.9554796922861084, 0.0, nan, nan, 0.34903041825095055, 0.0, nan, 0.6764368034327594, nan, nan, 0.0, nan, 0.0, nan, 0.09750360827497728, nan, 0.0, nan, 0.4660860447651929, 0.025094073377234242, nan, 0.9308540427021351, 0.0, 0.0, nan, nan, nan, 0.0, 0.0033831706763504314, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0] |
| 1.3357 | 3.0 | 240 | 1.6627 | 0.0810 | 0.1704 | 0.6372 | [0.8802541764971457, nan, nan, 0.056555863342566945, 0.0, 0.0, nan, nan, 0.20642057225207913, 0.0, 0.0, nan, 0.0, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, nan, 0.01831475488433417, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.03279526074421886, nan, 0.004115663983154491, 0.05434117988682265, 0.1906864370721696, 0.0, 0.0, nan, 0.09440296962507043, nan, 0.0, nan, nan, 0.0, 0.42782367027293816, 0.0, nan, 0.0, 0.0, nan, nan, nan, 0.2761849834312346, 0.0, nan, nan, 0.31320808559581415, 0.0, nan, 0.2387150835251245, nan, nan, 0.0, nan, 0.0, nan, 0.18660516384113102, nan, 0.0, nan, 0.5812117445119969, 0.04995259807683626, nan, 0.24328130390197106, 0.0, 0.0, nan, nan, nan, 0.0, 0.031732071804983226, nan, 0.0, nan, nan, nan, nan, nan, 0.0, 0.0] | [0.9645946599715991, nan, nan, 0.1259825167119665, 0.0, 0.0, nan, nan, 0.22724906418106547, 0.0, 0.0, nan, 0.0, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, nan, 0.018315633016086113, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.03279526074421886, nan, 0.004396395031808543, 0.07813836648788106, 0.8896288241475946, 0.0, 0.0, nan, 0.18887428190675143, nan, 0.0, nan, nan, 0.0, 0.7956747193414175, nan, nan, 0.0, 0.0, nan, nan, nan, 0.9685622091799753, 0.0, nan, nan, 0.5703453738910013, 0.0, nan, 0.6936907858512598, nan, nan, 0.0, nan, 0.0, nan, 0.45791682257978295, nan, 0.0, nan, 0.6668917993453835, 0.05204609595484478, nan, 0.9009625481274064, 0.0, 0.0, nan, nan, nan, 0.0, 0.0317322968679074, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0] |
| 1.1076 | 4.0 | 320 | 1.6336 | 0.1006 | 0.1921 | 0.6410 | [0.8894964514034933, nan, nan, 0.056207450993807945, 0.0, 0.0, nan, nan, 0.2492148441533985, 0.0, 0.0, nan, 0.0, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, nan, 0.26693265279225525, nan, nan, nan, nan, nan, nan, 0.0026995084477154908, nan, nan, nan, nan, nan, nan, 0.127118128626516, nan, 0.05285590509197547, 0.005720940492257044, 0.1789145378935755, 0.0, 0.0, nan, 0.1197062395054412, nan, 0.0, nan, nan, 0.0, 0.4350104177391173, 0.0, nan, 0.0, 0.0, nan, nan, nan, 0.32703440957415447, 0.00918810161198932, nan, nan, 0.2785390737448142, 0.0, nan, 0.30648069013407403, nan, nan, 0.0, nan, 0.0, nan, 0.16247302602501104, nan, 0.0, nan, 0.6843351955307263, 0.366696630037974, nan, 0.24339054311171235, 0.0, 0.0, nan, nan, nan, 0.0, 0.06888701338307364, nan, 0.0, nan, nan, nan, nan, nan, 0.0, 0.0] | [0.9604677289161787, nan, nan, 0.2413869095717329, 0.0, 0.0, nan, nan, 0.3390019584025385, 0.0, 0.0, nan, 0.0, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, nan, 0.26705103924436024, nan, nan, nan, nan, nan, nan, 0.002735400988010506, nan, nan, nan, nan, nan, nan, 0.127118128626516, nan, 0.06006134504695547, 0.00818792857627809, 0.7692630488089678, 0.0, 0.0, nan, 0.3710313529867277, nan, 0.0, nan, nan, 0.0, 0.8156013398287997, nan, nan, 0.0, 0.0, nan, nan, nan, 0.9728178268290972, 0.00957049403964616, nan, nan, 0.4169613434727503, 0.0, nan, 0.6536245229641725, nan, nan, 0.0, nan, 0.0, nan, 0.41757096274121985, nan, 0.0, nan, 0.7955149791949067, 0.4701081843838194, nan, 0.8753412670633531, 0.0, 0.0, nan, nan, nan, 0.0, 0.06889043349977304, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0] |
| 0.8109 | 5.0 | 400 | 1.6379 | 0.1061 | 0.1970 | 0.6470 | [0.8873877998039369, nan, nan, 0.028987376465087783, 0.0, 0.0, nan, nan, 0.1839531711315909, 0.0, 0.0, nan, 0.0, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, nan, 0.7157381049206994, nan, nan, nan, nan, nan, nan, 0.03621114024292364, nan, nan, nan, nan, nan, nan, 0.14557154500225042, nan, 0.029951452602043297, 0.005627142343882, 0.17541588318294718, 0.0005008079070954086, 0.0, nan, 0.1586452762923351, nan, 0.0, nan, nan, 0.0, 0.4227037481006706, 0.0, nan, 0.0, 0.0, nan, nan, nan, 0.2686709134407517, 0.0022234127217606457, nan, nan, 0.2975050306235774, 0.0, nan, 0.2977894106146132, nan, nan, 0.0, nan, 0.0, nan, 0.19668024419831745, nan, 0.0, nan, 0.6538614617346524, 0.19979984432336262, nan, 0.26763307138679077, 0.0, 0.0, nan, nan, nan, 0.0, 0.11868360964955822, nan, 0.0, nan, nan, nan, nan, nan, 0.0, 0.0] | [0.9619419293704581, nan, nan, 0.13207962976566517, 0.0, 0.0, nan, nan, 0.2373468190419528, 0.0, 0.0, nan, 0.0, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, nan, 0.7172823819912257, nan, nan, nan, nan, nan, nan, 0.03683945509723602, nan, nan, nan, nan, nan, nan, 0.14557154500225042, nan, 0.03266055740684641, 0.007868830198927286, 0.6491600011676787, 0.000530196172583856, 0.0, nan, 0.36767454843415154, nan, 0.0, nan, nan, 0.0, 0.8638326769357249, nan, nan, 0.0, 0.0, nan, nan, nan, 0.9807678817780064, 0.00253752389972893, nan, nan, 0.5143726235741445, 0.0, nan, 0.6723499591790237, nan, nan, 0.0, nan, 0.0, nan, 0.5330090340514246, nan, 0.0, nan, 0.7604084505046593, 0.21128880526810911, nan, 0.9208610430521527, 0.0, 0.0, nan, nan, nan, 0.0, 0.1187088629142079, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0] |
| 1.4655 | 6.0 | 480 | 1.6266 | 0.1076 | 0.2037 | 0.6384 | [0.8778509177145085, nan, nan, 0.07118996716805376, 0.0, 0.0, nan, nan, 0.20413995416893296, 0.0, 0.0, nan, 0.0, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, nan, 0.7460381910027826, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.3169693357498206, nan, 0.09805761648632648, 0.015562988320667815, 0.15454540514496246, 6.58228800330995e-05, 0.0, nan, 0.13908749866018794, nan, 0.0, nan, nan, 0.0, 0.47117276691727844, 0.0, nan, 0.0, 0.0, nan, nan, nan, 0.2462892969896394, 0.0004988969194735018, nan, nan, 0.22760365616561334, 0.0, nan, 0.28748236322807574, nan, nan, 0.0, nan, 0.0, nan, 0.1880929766514628, nan, 0.0, nan, 0.6004404507251014, 0.18010197051123053, nan, 0.24402224281742355, 0.0, 0.0, nan, nan, nan, 0.0, 0.09552247274687396, nan, 0.0, nan, nan, nan, nan, nan, 0.0, 0.0] | [0.9735060913366524, nan, nan, 0.5479321237052818, 0.0, 0.0, nan, nan, 0.37836832841666873, 0.0, 0.0, nan, 0.0, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, nan, 0.7488193129240285, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.3169924702275962, nan, 0.11791123901847925, 0.02421413537918392, 0.622668291686128, 7.002590958654703e-05, 0.0, nan, 0.35053035350897727, nan, 0.0, nan, nan, 0.0, 0.6660412836137605, nan, nan, 0.0, 0.0, nan, nan, nan, 0.9713330371548157, 0.0005442600007775143, nan, nan, 0.4024683143219265, 0.0, nan, 0.6866657806299721, nan, nan, 0.0, nan, 0.0, nan, 0.4816646175228524, nan, 0.0, nan, 0.6734851955584313, 0.18443085606773282, nan, 0.9215960798039902, 0.0, 0.0, nan, nan, nan, 0.0, 0.09552315024965956, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0] |
| 0.9234 | 7.0 | 560 | 1.6038 | 0.1123 | 0.1999 | 0.6507 | [0.8731258089719616, nan, nan, 0.026275496963720352, 0.0, 0.0, nan, nan, 0.18008900659086835, 0.0, 0.0, nan, 0.0, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, nan, 0.7104115758708256, nan, nan, nan, nan, nan, nan, 0.13933428402490347, nan, nan, nan, nan, nan, nan, 0.25442779291553136, nan, 0.3162835838105854, 0.00642846979998879, 0.1771131116934894, 0.00047448233976731387, 0.0, nan, 0.1432502423409004, nan, 0.0, nan, nan, 0.0, 0.4662633278571153, 0.0, nan, 0.0, 0.0, nan, nan, nan, 0.26615965922941714, 0.006486138574442955, nan, nan, 0.2617704882952686, 0.0, nan, 0.28629460238558463, nan, nan, 0.0, nan, 0.0, nan, 0.16438123940478433, nan, 0.0, nan, 0.5671085264688275, 0.16551074578302938, nan, 0.2680737164966438, 0.0, 0.0, nan, nan, nan, 0.0, 0.11351627385756739, nan, 0.0, nan, nan, nan, nan, nan, 0.0, 0.0] | [0.9684778092547259, nan, nan, 0.14875486667156396, 0.0, 0.0, nan, nan, 0.29894147103299534, 0.0, 0.0, nan, 0.0, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, nan, 0.7109054731138974, nan, nan, nan, nan, nan, nan, 0.16355248295477742, nan, nan, nan, nan, nan, nan, 0.2544308878805941, nan, 0.373920781581339, 0.010122886821915948, 0.5213283804297058, 0.0005001850684753359, 0.0, nan, 0.366190639125502, nan, 0.0, nan, nan, 0.0, 0.8718191564411214, nan, nan, 0.0, 0.0, nan, nan, nan, 0.9701288376552014, 0.006909274685195067, nan, nan, 0.3721039290240811, 0.0, nan, 0.6670527255121609, nan, nan, 0.0, nan, 0.0, nan, 0.4665098626182712, nan, 0.0, nan, 0.6263915324923132, 0.18184383819379116, nan, 0.9009275463773189, 0.0, 0.0, nan, nan, nan, 0.0, 0.11351707898320472, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0] |
| 0.7606 | 8.0 | 640 | 1.5894 | 0.1179 | 0.2046 | 0.6527 | [0.8662215396247656, nan, nan, 0.04027197355514049, 0.0, 0.0, nan, nan, 0.23041353038369744, 0.0, 0.0, nan, 0.0, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, nan, 0.6990800632456519, nan, nan, nan, nan, nan, nan, 0.11203953918361542, nan, nan, nan, nan, nan, nan, 0.19265999245806317, nan, 0.3257537154300292, 0.00562264021123066, 0.16971637745055174, 0.0, 0.0, nan, 0.13780894108991393, nan, 0.0, nan, nan, 0.0, 0.47182690194690885, 0.0, nan, 0.0, 0.0, nan, nan, nan, 0.27332232012953106, 0.008651923936119908, nan, nan, 0.2573301207392526, 0.0, nan, 0.31647408492014706, nan, nan, 0.0, nan, 0.0, nan, 0.16865062574633533, nan, 0.0, nan, 0.6412128211536969, 0.3479081123071801, nan, 0.2982327343773127, 0.0, 0.0, nan, nan, nan, 0.0, 0.09539548343168407, nan, 0.0, nan, nan, nan, nan, nan, 0.0, 0.0] | [0.9744817844825732, nan, nan, 0.22015720267391464, 0.0, 0.0, nan, nan, 0.3318707289058562, 0.0, 0.0, nan, 0.0, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, nan, 0.699566082516242, nan, nan, nan, nan, nan, nan, 0.12864550019732993, nan, nan, nan, nan, nan, nan, 0.19265999245806317, nan, 0.3800628597394729, 0.008877045284812275, 0.5594822804764129, 0.0, 0.0, nan, 0.3562066667867241, nan, 0.0, nan, nan, 0.0, 0.8259264094032429, nan, nan, 0.0, 0.0, nan, nan, nan, 0.9729698131737087, 0.009376115467939905, nan, nan, 0.36649239543726236, 0.0, nan, 0.6524900795534375, nan, nan, 0.0, nan, 0.0, nan, 0.4794061046667023, nan, 0.0, nan, 0.7027729103987682, 0.36865004703668863, nan, 0.881571578578929, 0.0, 0.0, nan, nan, nan, 0.0, 0.09539548343168407, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0] |
| 1.7504 | 9.0 | 720 | 1.5918 | 0.1135 | 0.1990 | 0.6479 | [0.8615032001988085, nan, nan, 0.028825522303783175, 0.0, 0.0, nan, nan, 0.23912543153049481, 0.0, 0.0, nan, 0.0, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, nan, 0.6904684859598029, nan, nan, nan, nan, nan, nan, 0.10535714285714286, nan, nan, nan, nan, nan, nan, 0.12312820076149233, nan, 0.3175794849064096, 0.005561388870035972, 0.1755509138972382, 0.0, 0.0, nan, 0.13112419872238812, nan, 0.0, nan, nan, 0.0, 0.48763718281123813, 0.0, nan, 0.0, 0.0, nan, nan, nan, 0.25711720080507816, 0.003242437125061576, nan, nan, 0.2347205394417706, 0.0, nan, 0.29806056782056006, nan, nan, 0.0, nan, 0.0, nan, 0.17887407701075375, nan, 0.0, nan, 0.5154003562257746, 0.410578078898481, nan, 0.27442286190340476, 0.0, 0.0, nan, nan, nan, 0.0, 0.10841749886518384, nan, 0.0, nan, nan, nan, nan, nan, 0.0, 0.0] | [0.9772398016386211, nan, nan, 0.1500036729596709, 0.0, 0.0, nan, nan, 0.360593966136989, 0.0, 0.0, nan, 0.0, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, nan, 0.6905760793997076, nan, nan, nan, nan, nan, nan, 0.13970958479062615, nan, nan, nan, nan, nan, nan, 0.12312820076149233, nan, 0.3906884277491669, 0.009457532758503633, 0.5658315331620738, 0.0, 0.0, nan, 0.3409677826000828, nan, 0.0, nan, nan, 0.0, 0.7966093221421707, nan, nan, 0.0, 0.0, nan, nan, nan, 0.9707952393200365, 0.0033963237710856573, nan, nan, 0.33331432192648924, 0.0, nan, 0.6412880442005734, nan, nan, 0.0, nan, 0.0, nan, 0.48237290853691134, nan, 0.0, nan, 0.5507800138858058, 0.4418156161806209, nan, 0.8762513125656283, 0.0, 0.0, nan, nan, nan, 0.0, 0.10841749886518384, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0] |
| 1.0269 | 10.0 | 800 | 1.6038 | 0.1199 | 0.2065 | 0.6525 | [0.8669788683334624, nan, nan, 0.030065941273615292, 0.0, 0.0, nan, nan, 0.23330686173439943, 0.0, 0.000204163702168466, nan, 0.0, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, nan, 0.7428032878804147, nan, nan, nan, nan, nan, nan, 0.10840996691857112, nan, nan, nan, nan, nan, nan, 0.24122919022776745, nan, 0.34139543133702444, 0.005551996583386718, 0.1775911598464498, 0.0, 0.0, nan, 0.14108439499726874, nan, 0.0, nan, nan, 0.0, 0.5255787550368084, 0.0, nan, 0.0, 0.0, nan, nan, nan, 0.26254163246435885, 0.015908289023280574, nan, nan, 0.23840487925189263, 0.0, nan, 0.3086167285212957, nan, nan, 0.0, nan, 0.0, nan, 0.17231257026997784, nan, 0.0, nan, 0.5303162298293482, 0.39087668636917383, nan, 0.2975137601731194, 0.0, 0.0, nan, nan, nan, 0.0, 0.12317720154334998, nan, 0.0, nan, nan, nan, nan, nan, 0.0, 0.0] | [0.976378263269974, nan, nan, 0.18856974950415045, 0.0, 0.0, nan, nan, 0.3908459142104002, 0.0, 0.00032898672089962913, nan, 0.0, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, nan, 0.7463380720638649, nan, nan, nan, nan, nan, nan, 0.14583361685333623, nan, nan, nan, nan, nan, nan, 0.24130548493437298, nan, 0.408149045743714, 0.009355692850838482, 0.5353040343297525, 0.0, 0.0, nan, 0.37488879684489185, nan, 0.0, nan, nan, 0.0, 0.8113074440488159, nan, nan, 0.0, 0.0, nan, nan, nan, 0.9759627750368275, 0.01816556106491184, nan, nan, 0.36141001267427125, 0.0, nan, 0.6382502041048814, nan, nan, 0.0, nan, 0.0, nan, 0.48950927460308974, nan, 0.0, nan, 0.5663991838546808, 0.4074788334901223, nan, 0.8854392719635982, 0.0, 0.0, nan, nan, nan, 0.0, 0.12317720154334998, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0] |
### Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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