home-standard-results
/
07-05-2023_nb-bert-base_batchsize_256_all_units_0.0001_1_200_freeze_True_earlystop_3.txt
Started at: 15:31:13 | |
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Epoch: 0 | |
Training loss: 1.2954848909378052 - MAE: 1.050244734015666 | |
Validation loss : 0.8470989664395651 - MAE: 0.8281701794455048 | |
Epoch: 1 | |
Training loss: 0.4445240414142609 - MAE: 0.5411769913687082 | |
Validation loss : 0.324721054898368 - MAE: 0.43869614013342645 | |
Epoch: 2 | |
Training loss: 0.25153143346309664 - MAE: 0.3816801249414825 | |
Validation loss : 0.23877331614494324 - MAE: 0.3700370086786411 | |
Epoch: 3 | |
Training loss: 0.23011713743209838 - MAE: 0.36750653866750815 | |
Validation loss : 0.22173692286014557 - MAE: 0.3575197016352192 | |
Epoch: 4 | |
Training loss: 0.21643910229206084 - MAE: 0.35473120380428824 | |
Validation loss : 0.2111869735850228 - MAE: 0.3495476388776553 | |
Epoch: 5 | |
Training loss: 0.20841679513454436 - MAE: 0.3475277955848527 | |
Validation loss : 0.2027071151468489 - MAE: 0.3434146884806285 | |
Epoch: 6 | |
Training loss: 0.20075951278209686 - MAE: 0.3414739466792711 | |
Validation loss : 0.19626588291592068 - MAE: 0.3390224698180928 | |
Epoch: 7 | |
Training loss: 0.1959322625398636 - MAE: 0.33718433600506764 | |
Validation loss : 0.19155074821578133 - MAE: 0.33601220203771287 | |
Epoch: 8 | |
Training loss: 0.19064979493618012 - MAE: 0.33252034985072276 | |
Validation loss : 0.18807757563061184 - MAE: 0.33369018106396875 | |
Epoch: 9 | |
Training loss: 0.18758945107460023 - MAE: 0.3310842562717609 | |
Validation loss : 0.18544620275497437 - MAE: 0.33179714328905824 | |
Epoch: 10 | |
Training loss: 0.18699397385120392 - MAE: 0.3293496073915552 | |
Validation loss : 0.1833840227789349 - MAE: 0.3305601596359932 | |
Epoch: 11 | |
Training loss: 0.1838909602165222 - MAE: 0.326863464187819 | |
Validation loss : 0.18136033746931288 - MAE: 0.32891395485147645 | |
Epoch: 12 | |
Training loss: 0.18286386430263518 - MAE: 0.325863773872513 | |
Validation loss : 0.17971531218952602 - MAE: 0.32756646233438397 | |
Epoch: 13 | |
Training loss: 0.1797239762544632 - MAE: 0.32309299652089063 | |
Validation loss : 0.17807276712523568 - MAE: 0.32608809156272295 | |
Epoch: 14 | |
Training loss: 0.17857051372528077 - MAE: 0.3213261058182539 | |
Validation loss : 0.1767602562904358 - MAE: 0.3250377233246472 | |
Epoch: 15 | |
Training loss: 0.17911633133888244 - MAE: 0.3217271718139446 | |
Validation loss : 0.1751896556880739 - MAE: 0.3234474552955444 | |
Epoch: 16 | |
Training loss: 0.17600405514240264 - MAE: 0.3189804320611656 | |
Validation loss : 0.17363134854369694 - MAE: 0.3217130704298945 | |
Epoch: 17 | |
Training loss: 0.17391868591308593 - MAE: 0.3165747054747144 | |
Validation loss : 0.17256545523802438 - MAE: 0.3208692052839463 | |
Epoch: 18 | |
Training loss: 0.17313318729400634 - MAE: 0.3169905761419007 | |
Validation loss : 0.17127088208993277 - MAE: 0.3194913697705306 | |
Epoch: 19 | |
Training loss: 0.17114326536655425 - MAE: 0.31336970082229104 | |
Validation loss : 0.17016845610406664 - MAE: 0.31830314372899243 | |
Epoch: 20 | |
Training loss: 0.1727628666162491 - MAE: 0.31565258354376935 | |
Validation loss : 0.16911302506923676 - MAE: 0.31717762732632004 | |
Epoch: 21 | |
Training loss: 0.17012356221675873 - MAE: 0.31316639736858143 | |
Validation loss : 0.1677489462825987 - MAE: 0.31546195651667186 | |
Epoch: 22 | |
Training loss: 0.16859103083610535 - MAE: 0.3127057693660738 | |
Validation loss : 0.16697113381491768 - MAE: 0.31471562544725196 | |
Epoch: 23 | |
Training loss: 0.1686873698234558 - MAE: 0.311427263715106 | |
Validation loss : 0.16612334880563948 - MAE: 0.3138178950174241 | |
Epoch: 24 | |
Training loss: 0.16640773981809617 - MAE: 0.3095450918700528 | |
Validation loss : 0.16508907741970485 - MAE: 0.3125503103864031 | |
Epoch: 25 | |
Training loss: 0.1658923715353012 - MAE: 0.3082243922152051 | |
Validation loss : 0.16451590259869894 - MAE: 0.3120238609455365 | |
Epoch: 26 | |
Training loss: 0.16436728775501253 - MAE: 0.3071946399101465 | |
Validation loss : 0.16374372442563376 - MAE: 0.3111470200747217 | |
Epoch: 27 | |
Training loss: 0.16651157915592193 - MAE: 0.30963943402408695 | |
Validation loss : 0.16270800100432503 - MAE: 0.3097923430317113 | |
Epoch: 28 | |
Training loss: 0.16491072356700898 - MAE: 0.3070697425803366 | |
Validation loss : 0.1623369190427992 - MAE: 0.3095072696428577 | |
Epoch: 29 | |
Training loss: 0.16389427542686463 - MAE: 0.30555235896137595 | |
Validation loss : 0.16124575005637276 - MAE: 0.308045409739515 | |
Epoch: 30 | |
Training loss: 0.16372050642967223 - MAE: 0.3068781009000078 | |
Validation loss : 0.1606789148516125 - MAE: 0.3074341210225871 | |
Epoch: 31 | |
Training loss: 0.16316969752311705 - MAE: 0.3060961831725536 | |
Validation loss : 0.16020016206635368 - MAE: 0.3069771875888861 | |
Epoch: 32 | |
Training loss: 0.1627587217092514 - MAE: 0.30426592400661 | |
Validation loss : 0.15954788691467708 - MAE: 0.3061654847578481 | |
Epoch: 33 | |
Training loss: 0.16183113038539887 - MAE: 0.30331386520448744 | |
Validation loss : 0.15876509911484188 - MAE: 0.30512034015868056 | |
Epoch: 34 | |
Training loss: 0.16216464459896088 - MAE: 0.3041525328658513 | |
Validation loss : 0.1582637975613276 - MAE: 0.3045167264420522 | |
Epoch: 35 | |
Training loss: 0.16202212631702423 - MAE: 0.30412966504962624 | |
Validation loss : 0.15774812797705332 - MAE: 0.30388464702304596 | |
Epoch: 36 | |
Training loss: 0.1605959129333496 - MAE: 0.3021611783717064 | |
Validation loss : 0.15737126105361515 - MAE: 0.30351526731697764 | |
Epoch: 37 | |
Training loss: 0.1595464125275612 - MAE: 0.3019984243682177 | |
Validation loss : 0.15694588753912184 - MAE: 0.30298915789121267 | |
Epoch: 38 | |
Training loss: 0.15968152701854707 - MAE: 0.30079639420604637 | |
Validation loss : 0.1565687441163593 - MAE: 0.30254428690684504 | |
Epoch: 39 | |
Training loss: 0.16053873747587205 - MAE: 0.30269713976447044 | |
Validation loss : 0.15606227185991076 - MAE: 0.30184525470267004 | |
Epoch: 40 | |
Training loss: 0.15907079100608826 - MAE: 0.30137026553661755 | |
Validation loss : 0.15593233042293125 - MAE: 0.3018705285535124 | |
Epoch: 41 | |
Training loss: 0.15838283449411392 - MAE: 0.30094563904283755 | |
Validation loss : 0.15537505514091915 - MAE: 0.30114440427331457 | |
Epoch: 42 | |
Training loss: 0.1576764366030693 - MAE: 0.29919268728124215 | |
Validation loss : 0.15526685449812147 - MAE: 0.3011537437962524 | |
Epoch: 43 | |
Training loss: 0.15699974298477173 - MAE: 0.2988365116562079 | |
Validation loss : 0.15481639156738916 - MAE: 0.30055854576382945 | |
Epoch: 44 | |
Training loss: 0.15606340169906616 - MAE: 0.2979114649606952 | |
Validation loss : 0.15476271178987291 - MAE: 0.30063485786254074 | |
Epoch: 45 | |
Training loss: 0.1577802050113678 - MAE: 0.2999039090758928 | |
Validation loss : 0.15419750743442112 - MAE: 0.2998442683771937 | |
Epoch: 46 | |
Training loss: 0.15624683797359468 - MAE: 0.29888288205111374 | |
Validation loss : 0.15386036286751428 - MAE: 0.2993970499800218 | |
Epoch: 47 | |
Training loss: 0.1557799881696701 - MAE: 0.29786385364428364 | |
Validation loss : 0.15358521540959677 - MAE: 0.2990845763730278 | |
Epoch: 48 | |
Training loss: 0.15620744496583938 - MAE: 0.29782631350358724 | |
Validation loss : 0.1532444887691074 - MAE: 0.2986619118372658 | |
Epoch: 49 | |
Training loss: 0.15512809425592422 - MAE: 0.29642200152591325 | |
Validation loss : 0.15320832282304764 - MAE: 0.29869317901549597 | |
Epoch: 50 | |
Training loss: 0.15422082662582398 - MAE: 0.29702908144831747 | |
Validation loss : 0.15264475676748487 - MAE: 0.29781067221096785 | |
Epoch: 51 | |
Training loss: 0.15521558344364167 - MAE: 0.2982858617512268 | |
Validation loss : 0.1524453726079729 - MAE: 0.2976454008963719 | |
Epoch: 52 | |
Training loss: 0.1535657474398613 - MAE: 0.2953671117793639 | |
Validation loss : 0.15208186871475643 - MAE: 0.29721065066041774 | |
Epoch: 53 | |
Training loss: 0.154012570977211 - MAE: 0.29551133424955356 | |
Validation loss : 0.15210432642036015 - MAE: 0.29740813232959074 | |
Epoch: 54 | |
Training loss: 0.15406817376613616 - MAE: 0.29551959469132016 | |
Validation loss : 0.15143747876087824 - MAE: 0.29635976838639294 | |
Epoch: 55 | |
Training loss: 0.15317835301160812 - MAE: 0.2942490870567716 | |
Validation loss : 0.15164858847856522 - MAE: 0.29676666791017275 | |
Epoch: 56 | |
Training loss: 0.15314337223768235 - MAE: 0.29498007116045316 | |
Validation loss : 0.15093392216496998 - MAE: 0.2956451306333567 | |
Epoch: 57 | |
Training loss: 0.15268929898738862 - MAE: 0.29407656720802344 | |
Validation loss : 0.1510715517732832 - MAE: 0.296007325291354 | |
Epoch: 58 | |
Training loss: 0.15080436050891877 - MAE: 0.2931769020733588 | |
Validation loss : 0.15055902964538997 - MAE: 0.2952740719432801 | |
Epoch: 59 | |
Training loss: 0.1527106672525406 - MAE: 0.2938099665690969 | |
Validation loss : 0.15094474454720816 - MAE: 0.29605953896492887 | |
Epoch: 60 | |
Training loss: 0.1509735319018364 - MAE: 0.292515637870499 | |
Validation loss : 0.15017151998149025 - MAE: 0.2948810213514365 | |
Epoch: 61 | |
Training loss: 0.15237990617752076 - MAE: 0.29378099114860895 | |
Validation loss : 0.15004708783494103 - MAE: 0.2947684858603238 | |
Epoch: 62 | |
Training loss: 0.1525536620616913 - MAE: 0.29318584658954905 | |
Validation loss : 0.14995739443434608 - MAE: 0.2947351628730399 | |
Epoch: 63 | |
Training loss: 0.1507928967475891 - MAE: 0.29275302717244567 | |
Validation loss : 0.15032473040951622 - MAE: 0.29536859758813566 | |
Epoch: 64 | |
Training loss: 0.15089431494474412 - MAE: 0.29257276016047234 | |
Validation loss : 0.15016171998447841 - MAE: 0.2951970835671099 | |
Epoch: 65 | |
Training loss: 0.151175656914711 - MAE: 0.29085515046547084 | |
Validation loss : 0.14930619961685604 - MAE: 0.2938698422745191 | |
Epoch: 66 | |
Training loss: 0.15057480126619338 - MAE: 0.2921643443861923 | |
Validation loss : 0.14950874116685656 - MAE: 0.2942854450378525 | |
Epoch: 67 | |
Training loss: 0.15032425463199617 - MAE: 0.2914370157276145 | |
Validation loss : 0.14925211171309152 - MAE: 0.29394250190190363 | |
Epoch: 68 | |
Training loss: 0.15072797775268554 - MAE: 0.29235150244004127 | |
Validation loss : 0.14916034208403695 - MAE: 0.29389258972967547 | |
Stopped after 68 epochs. | |
Prediction MAE: 0.2833 | |
Finished at: 15:31:13 | |
Time taken: 15839 s. | |
0 days 4 hours 23 minutes 59 seconds | |
Preds: [[1.3728947639465332], [1.639479398727417], [1.6101555824279785], [1.569690227508545], [1.6411243677139282], [1.4958226680755615], [1.816853404045105], [1.4505372047424316], [1.3863558769226074], [1.539617657661438], [1.4511226415634155], [1.2989088296890259], [1.3559985160827637], [1.3843822479248047], [1.3475803136825562], [1.5112624168395996], [1.347898244857788], [1.4089584350585938], [1.4190194606781006], [1.2609468698501587], [1.493395209312439], [1.6741409301757812], [1.3918530941009521], [1.516610860824585], [1.310448169708252], [1.268904447555542], [1.6968224048614502], [1.6298587322235107], [1.4559738636016846], [1.4478797912597656], [1.5080398321151733], [1.296278715133667], [1.408872365951538], [1.4481849670410156], [1.343249797821045], [1.4436020851135254], [1.3905653953552246], [1.5461595058441162], [1.2435930967330933], [1.5153247117996216], [1.424744963645935], [1.323297142982483], [1.5376163721084595], [1.51405930519104], [1.4064292907714844], 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