home-standard-results
/
05-05-2023_norbert2_batchsize_256_all_units_0.001_1_200_freeze_True_no_earlystop.txt
Started at: 21:34:05 | |
({'architectures': ['BertForMaskedLM'], 'attention_probs_dropout_prob': 0.1, 'hidden_act': 'gelu', 'hidden_dropout_prob': 0.1, 'hidden_size': 768, 'initializer_range': 0.02, 'intermediate_size': 3072, 'max_position_embeddings': 512, 'model_type': 'bert', 'num_attention_heads': 12, 'num_hidden_layers': 12, 'type_vocab_size': 2, 'vocab_size': 50104, '_commit_hash': 'f22bb47f536f62edfcd86ca9320ade990eafbe22'}, {}) | |
Epoch: 0 | |
Training loss: 0.32175946950912476 - MAE: 0.4437903503551826 | |
Validation loss : 0.19621961481041378 - MAE: 0.3388283822410594 | |
Epoch: 1 | |
Training loss: 0.21072698533535003 - MAE: 0.35116530289867337 | |
Validation loss : 0.1876767095592287 - MAE: 0.33628140968919695 | |
Epoch: 2 | |
Training loss: 0.1893942326307297 - MAE: 0.3312522516218666 | |
Validation loss : 0.1748287214173211 - MAE: 0.3213797447248068 | |
Epoch: 3 | |
Training loss: 0.17969159841537474 - MAE: 0.3215382240664255 | |
Validation loss : 0.1697687026527193 - MAE: 0.31446870224950263 | |
Epoch: 4 | |
Training loss: 0.17220519423484804 - MAE: 0.3129526796594085 | |
Validation loss : 0.16811848680178323 - MAE: 0.3117262145282266 | |
Epoch: 5 | |
Training loss: 0.17296144247055054 - MAE: 0.31494873624825814 | |
Validation loss : 0.16849000917540657 - MAE: 0.31104514179599985 | |
Epoch: 6 | |
Training loss: 0.16641035348176955 - MAE: 0.30768475494362546 | |
Validation loss : 0.16421516074074638 - MAE: 0.30715220958263423 | |
Epoch: 7 | |
Training loss: 0.16057054400444032 - MAE: 0.30329494898002457 | |
Validation loss : 0.161027698053254 - MAE: 0.304297376785587 | |
Epoch: 8 | |
Training loss: 0.1566170272231102 - MAE: 0.29957014870206655 | |
Validation loss : 0.15982638630602095 - MAE: 0.30397747682822174 | |
Epoch: 9 | |
Training loss: 0.15673983812332154 - MAE: 0.3000540458404174 | |
Validation loss : 0.159184659520785 - MAE: 0.3035235378542429 | |
Epoch: 10 | |
Training loss: 0.15630604147911073 - MAE: 0.29690365842430627 | |
Validation loss : 0.15921704471111298 - MAE: 0.30240467396157955 | |
Epoch: 11 | |
Training loss: 0.15595020622015 - MAE: 0.29754135005638765 | |
Validation loss : 0.15686986181471083 - MAE: 0.30119996351152656 | |
Epoch: 12 | |
Training loss: 0.15274528950452804 - MAE: 0.2944161972508913 | |
Validation loss : 0.15652166141404045 - MAE: 0.3012713923501961 | |
Epoch: 13 | |
Training loss: 0.15205995708703995 - MAE: 0.29424324063629004 | |
Validation loss : 0.1575678288936615 - MAE: 0.3004794443503115 | |
Epoch: 14 | |
Training loss: 0.15087180227041244 - MAE: 0.292504579327589 | |
Validation loss : 0.15574459234873453 - MAE: 0.29932356111019714 | |
Epoch: 15 | |
Training loss: 0.1518820345401764 - MAE: 0.2940904971897683 | |
Validation loss : 0.15581322544150883 - MAE: 0.30048684662514935 | |
Epoch: 16 | |
Training loss: 0.14916340589523316 - MAE: 0.2900369708605816 | |
Validation loss : 0.15502946575482687 - MAE: 0.2986623058669649 | |
Epoch: 17 | |
Training loss: 0.14969733864068985 - MAE: 0.2916869417468108 | |
Validation loss : 0.15631223718325296 - MAE: 0.2994015598567933 | |
Epoch: 18 | |
Training loss: 0.14621972769498826 - MAE: 0.2875086269286061 | |
Validation loss : 0.1557358337773217 - MAE: 0.29931970436403404 | |
Epoch: 19 | |
Training loss: 0.14798570185899734 - MAE: 0.29024787778757843 | |
Validation loss : 0.15424930387073094 - MAE: 0.2984811820958494 | |
Epoch: 20 | |
Training loss: 0.14769238144159316 - MAE: 0.2896109423923894 | |
Validation loss : 0.1536422868569692 - MAE: 0.2987445844262027 | |
Epoch: 21 | |
Training loss: 0.14361368536949157 - MAE: 0.2842206176667335 | |
Validation loss : 0.1533755792511834 - MAE: 0.29642898867488277 | |
Epoch: 22 | |
Training loss: 0.14456430345773696 - MAE: 0.2860957867005398 | |
Validation loss : 0.1542035871081882 - MAE: 0.2971775973100257 | |
Epoch: 23 | |
Training loss: 0.1426533755660057 - MAE: 0.28512021628758083 | |
Validation loss : 0.15245803362793392 - MAE: 0.2961228783995986 | |
Epoch: 24 | |
Training loss: 0.14542177826166153 - MAE: 0.2855342243309425 | |
Validation loss : 0.15294104317824045 - MAE: 0.29643245601047447 | |
Epoch: 25 | |
Training loss: 0.14522234290838243 - MAE: 0.2851345876886818 | |
Validation loss : 0.15342944694889915 - MAE: 0.2958033843008907 | |
Epoch: 26 | |
Training loss: 0.14386597275733948 - MAE: 0.2838243646140143 | |
Validation loss : 0.1515038808186849 - MAE: 0.2936464496284943 | |
Epoch: 27 | |
Training loss: 0.1415349954366684 - MAE: 0.2810586437104536 | |
Validation loss : 0.1507236527072059 - MAE: 0.29409404478735646 | |
Epoch: 28 | |
Training loss: 0.14115683376789093 - MAE: 0.2815221038197439 | |
Validation loss : 0.15061336921321022 - MAE: 0.29280129784932213 | |
Epoch: 29 | |
Training loss: 0.14186541587114335 - MAE: 0.28239653007887255 | |
Validation loss : 0.15151139597098032 - MAE: 0.2953867482779256 | |
Epoch: 30 | |
Training loss: 0.14276256740093232 - MAE: 0.283208699006944 | |
Validation loss : 0.1504600097735723 - MAE: 0.29276670315056585 | |
Epoch: 31 | |
Training loss: 0.14241950929164887 - MAE: 0.28277882078383293 | |
Validation loss : 0.1505332812666893 - MAE: 0.29293145394981956 | |
Epoch: 32 | |
Training loss: 0.14204519629478454 - MAE: 0.28192363607736504 | |
Validation loss : 0.15044088496102226 - MAE: 0.2929076596067834 | |
Epoch: 33 | |
Training loss: 0.13920597046613692 - MAE: 0.2793298976614221 | |
Validation loss : 0.15006180769867367 - MAE: 0.29292432343849906 | |
Epoch: 34 | |
Training loss: 0.1410813584923744 - MAE: 0.2815379053911258 | |
Validation loss : 0.14930015967951882 - MAE: 0.2933547268525188 | |
Epoch: 35 | |
Training loss: 0.14150760889053346 - MAE: 0.2832031330097777 | |
Validation loss : 0.15295125875208113 - MAE: 0.2936935655701593 | |
Epoch: 36 | |
Training loss: 0.1405733221769333 - MAE: 0.2821643593441243 | |
Validation loss : 0.14867112785577774 - MAE: 0.2921335742814868 | |
Epoch: 37 | |
Training loss: 0.14206359952688216 - MAE: 0.28261241361934286 | |
Validation loss : 0.14988169405195448 - MAE: 0.2927604772074144 | |
Epoch: 38 | |
Training loss: 0.14064243495464324 - MAE: 0.28185439579063915 | |
Validation loss : 0.1515509072277281 - MAE: 0.29319069832718325 | |
Epoch: 39 | |
Training loss: 0.14297345608472825 - MAE: 0.282847817609895 | |
Validation loss : 0.15042786465750801 - MAE: 0.29282722784595605 | |
Epoch: 40 | |
Training loss: 0.13990240722894667 - MAE: 0.27964537481988466 | |
Validation loss : 0.14972211172183356 - MAE: 0.29260355981671565 | |
Epoch: 41 | |
Training loss: 0.13921964198350906 - MAE: 0.28078253547199195 | |
Validation loss : 0.14965214083592096 - MAE: 0.2924700199853063 | |
Epoch: 42 | |
Training loss: 0.1393338233232498 - MAE: 0.28024463401390987 | |
Validation loss : 0.1507701873779297 - MAE: 0.29355734742186085 | |
Epoch: 43 | |
Training loss: 0.1382669734954834 - MAE: 0.27992590956331337 | |
Validation loss : 0.14967524343066746 - MAE: 0.29149855699855537 | |
Epoch: 44 | |
Training loss: 0.14029370576143266 - MAE: 0.28265328374425863 | |
Validation loss : 0.1491319098406368 - MAE: 0.29219012845466735 | |
Epoch: 45 | |
Training loss: 0.14041882872581482 - MAE: 0.2809566443072132 | |
Validation loss : 0.14969545520014232 - MAE: 0.2909081862153574 | |
Epoch: 46 | |
Training loss: 0.140560123026371 - MAE: 0.28191663739835304 | |
Validation loss : 0.14977325167920855 - MAE: 0.291604275381065 | |
Epoch: 47 | |
Training loss: 0.1414617270231247 - MAE: 0.28282842532543745 | |
Validation loss : 0.1506698860062493 - MAE: 0.2930552446484735 | |
Epoch: 48 | |
Training loss: 0.1373920688033104 - MAE: 0.27917131881687096 | |
Validation loss : 0.15224417712953356 - MAE: 0.2934837599479946 | |
Epoch: 49 | |
Training loss: 0.14192317247390748 - MAE: 0.2842585649178634 | |
Validation loss : 0.14885787086354363 - MAE: 0.29192342005218896 | |
Epoch: 50 | |
Training loss: 0.14062062561511993 - MAE: 0.2808979887022064 | |
Validation loss : 0.15054219878382152 - MAE: 0.2924492759311905 | |
Epoch: 51 | |
Training loss: 0.13990722686052323 - MAE: 0.2817114196110173 | |
Validation loss : 0.1506080221798685 - MAE: 0.29247582518131027 | |
Epoch: 52 | |
Training loss: 0.1394276064634323 - MAE: 0.2798831110400087 | |
Validation loss : 0.1490704102648629 - MAE: 0.291844280782309 | |
Epoch: 53 | |
Training loss: 0.14104595750570298 - MAE: 0.28180114573645876 | |
Validation loss : 0.14941397143734825 - MAE: 0.2933880270519655 | |
Epoch: 54 | |
Training loss: 0.139021515250206 - MAE: 0.2793780218867486 | |
Validation loss : 0.1490028988983896 - MAE: 0.29192548589513484 | |
Epoch: 55 | |
Training loss: 0.1409096112847328 - MAE: 0.2816018781967446 | |
Validation loss : 0.1494157827562756 - MAE: 0.2919783378546487 | |
Epoch: 56 | |
Training loss: 0.14150582283735275 - MAE: 0.28397171057514964 | |
Validation loss : 0.1507257032725546 - MAE: 0.29278463527362475 | |
Epoch: 57 | |
Training loss: 0.1412457060813904 - MAE: 0.28194929681996234 | |
Validation loss : 0.1500752924217118 - MAE: 0.291890501089955 | |
Epoch: 58 | |
Training loss: 0.14060731261968612 - MAE: 0.2826944446609872 | |
Validation loss : 0.15134404020176995 - MAE: 0.2921265934844939 | |
Epoch: 59 | |
Training loss: 0.13857035160064698 - MAE: 0.27917573503863885 | |
Validation loss : 0.1502113996280564 - MAE: 0.2916726146711328 | |
Epoch: 60 | |
Training loss: 0.14019066840410233 - MAE: 0.2816340620891049 | |
Validation loss : 0.14821443955103555 - MAE: 0.29117830198396194 | |
Epoch: 61 | |
Training loss: 0.1397022610902786 - MAE: 0.28089572600032964 | |
Validation loss : 0.1513935931854778 - MAE: 0.2917060470497501 | |
Epoch: 62 | |
Training loss: 0.14070956617593766 - MAE: 0.28241979367979564 | |
Validation loss : 0.1501304821835624 - MAE: 0.2912750997306758 | |
Epoch: 63 | |
Training loss: 0.1420893755555153 - MAE: 0.28372013668513324 | |
Validation loss : 0.15038747092088064 - MAE: 0.2920179987433622 | |
Epoch: 64 | |
Training loss: 0.1394691723585129 - MAE: 0.2797968922342149 | |
Validation loss : 0.1498954254719946 - MAE: 0.2930247953251004 | |
Epoch: 65 | |
Training loss: 0.14013640880584716 - MAE: 0.28057332071413116 | |
Validation loss : 0.14924369752407074 - MAE: 0.29117805094765137 | |
Epoch: 66 | |
Training loss: 0.13910346567630769 - MAE: 0.27976148521760813 | |
Validation loss : 0.15365933709674412 - MAE: 0.2938181280395696 | |
Epoch: 67 | |
Training loss: 0.14027394950389863 - MAE: 0.2824978199508478 | |
Validation loss : 0.15143409785297182 - MAE: 0.2915787634959989 | |
Epoch: 68 | |
Training loss: 0.13879832834005357 - MAE: 0.2803663281034843 | |
Validation loss : 0.14806738330258262 - MAE: 0.2899341093266117 | |
Epoch: 69 | |
Training loss: 0.14169045120477677 - MAE: 0.2840059654564348 | |
Validation loss : 0.14932368530167472 - MAE: 0.2908179996636204 | |
Epoch: 70 | |
Training loss: 0.14286602079868316 - MAE: 0.28393754014878414 | |
Validation loss : 0.15445275604724884 - MAE: 0.29465461309717 | |
Epoch: 71 | |
Training loss: 0.1397111463546753 - MAE: 0.2815673786321848 | |
Validation loss : 0.14909260223309198 - MAE: 0.29124006221654514 | |
Epoch: 72 | |
Training loss: 0.13914978861808777 - MAE: 0.27919056115617275 | |
Validation loss : 0.1496173938115438 - MAE: 0.29145609362558494 | |
Epoch: 73 | |
Training loss: 0.13840563476085663 - MAE: 0.2791765280391529 | |
Validation loss : 0.15138710704114702 - MAE: 0.2922445451728484 | |
Epoch: 74 | |
Training loss: 0.13956822723150253 - MAE: 0.2806497885355469 | |
Validation loss : 0.14996923257907233 - MAE: 0.2913337573766691 | |
Epoch: 75 | |
Training loss: 0.13771951258182524 - MAE: 0.2787076577823987 | |
Validation loss : 0.1503291262520684 - MAE: 0.292124609001339 | |
Epoch: 76 | |
Training loss: 0.13808781534433365 - MAE: 0.27866726046665985 | |
Validation loss : 0.14987454232242373 - MAE: 0.29144555209570666 | |
Epoch: 77 | |
Training loss: 0.1389396995306015 - MAE: 0.2791280405088736 | |
Validation loss : 0.1490834727883339 - MAE: 0.29122889859275275 | |
Epoch: 78 | |
Training loss: 0.13928475528955458 - MAE: 0.28034273788540925 | |
Validation loss : 0.14989753978119957 - MAE: 0.2910398033999464 | |
Epoch: 79 | |
Training loss: 0.13676762133836745 - MAE: 0.27751891334295836 | |
Validation loss : 0.15044062005148995 - MAE: 0.29325611713326233 | |
Epoch: 80 | |
Training loss: 0.13998845636844634 - MAE: 0.28041881321085516 | |
Validation loss : 0.14946704192294014 - MAE: 0.293321332550951 | |
Epoch: 81 | |
Training loss: 0.13976493537425994 - MAE: 0.2809897342394576 | |
Validation loss : 0.14930716984801823 - MAE: 0.2915501156778208 | |
Epoch: 82 | |
Training loss: 0.13674694985151292 - MAE: 0.27840960478937093 | |
Validation loss : 0.14946243580844668 - MAE: 0.2906570599625246 | |
Epoch: 83 | |
Training loss: 0.1379085114598274 - MAE: 0.27905460035509927 | |
Validation loss : 0.14950388587183422 - MAE: 0.29112317700446616 | |
Epoch: 84 | |
Training loss: 0.14153614401817322 - MAE: 0.2835935983083774 | |
Validation loss : 0.14871504406134287 - MAE: 0.2905583900515311 | |
Epoch: 85 | |
Training loss: 0.1404113781452179 - MAE: 0.2815505957403188 | |
Validation loss : 0.15186349633667204 - MAE: 0.2935015096363652 | |
Epoch: 86 | |
Training loss: 0.1391930565237999 - MAE: 0.27938914945504073 | |