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