old_res/05-04-2023-12:43:11_norbert_apartment_0.006_1_50_freeze_True.txt

Started at: 12:43:11
({'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': 32922, '_commit_hash': '44815f7e109b53547cccdf3c6847f4c28b989816'}, {})
Epoch: 0
Training loss: 0.2008972004489991 - MSE: 0.33518312736635436
Validation loss : 0.1646703563630581 - MSE: 0.3085779357984263
Epoch: 1
Training loss: 0.1659574282256145 - MSE: 0.3064189085675543
Validation loss : 0.157762396974223 - MSE: 0.28898105177130284
Epoch: 2
Training loss: 0.16920435048856783 - MSE: 0.3099259860789372
Validation loss : 0.2597339808940887 - MSE: 0.41778062962694096
Epoch: 3
Training loss: 0.18403085151198997 - MSE: 0.3220045950051232
Validation loss : 0.2158472946711949 - MSE: 0.37326406195393896
Epoch: 4
Training loss: 0.18172540587996974 - MSE: 0.32080418783672165
Validation loss : 0.180368021769183 - MSE: 0.33231508495186324
Epoch: 5
Training loss: 0.17783939802241558 - MSE: 0.31700912658652863
Validation loss : 0.17726878098079135 - MSE: 0.33020463892025875
Epoch: 6
Training loss: 0.17681393569823609 - MSE: 0.3154852375991437
Validation loss : 0.17508771706904683 - MSE: 0.32495340255388455
Epoch: 7
Training loss: 0.18098733559684846 - MSE: 0.3195274022724451
Validation loss : 0.17311148579631533 - MSE: 0.3220135453306804
Epoch: 8
Training loss: 0.18061703660534423 - MSE: 0.3191405354137568
Validation loss : 0.17032980706010545 - MSE: 0.3176248594869061
Epoch: 9
Training loss: 0.18142556370172686 - MSE: 0.319926894033844
Validation loss : 0.1691651236798082 - MSE: 0.31562867300485126
Epoch: 10
Training loss: 0.18212312047631996 - MSE: 0.32070363034661087
Validation loss : 0.16798930146864482 - MSE: 0.31360456355614585
Epoch: 11
Training loss: 0.18196018481428183 - MSE: 0.3207149931643255
Validation loss : 0.16837686087403977 - MSE: 0.31434407412639953
Epoch: 12
Training loss: 0.1814197617248424 - MSE: 0.3202695122298144
Validation loss : 0.16799633439098086 - MSE: 0.3135975342526633
Epoch: 13
Training loss: 0.18225394370197093 - MSE: 0.3212486534658962
Validation loss : 0.16925174317189626 - MSE: 0.3159311910575655
Epoch: 14
Training loss: 0.18245843891958588 - MSE: 0.3215480212902345
Validation loss : 0.16824361362627574 - MSE: 0.31412619200834474
Epoch: 15
Training loss: 0.1803396447624975 - MSE: 0.3195030057718649
Validation loss : 0.1688083845589842 - MSE: 0.3150487916560711
Epoch: 16
Training loss: 0.17986665409311509 - MSE: 0.3195031756770499
Validation loss : 0.22056829929351807 - MSE: 0.37911737345857544
Epoch: 17
Training loss: 0.18849548813208794 - MSE: 0.3279959400740679
Validation loss : 0.1744179646883692 - MSE: 0.32440157115093565
Epoch: 18
Training loss: 0.18259398508997796 - MSE: 0.32226052051809423
Validation loss : 0.17137913001435143 - MSE: 0.32016465139874656
Epoch: 19
Training loss: 0.17060092156662524 - MSE: 0.3103650882393749
Validation loss : 0.16893972903490068 - MSE: 0.3152596680996274
Epoch: 20
Training loss: 0.18305443567269056 - MSE: 0.32248776308938315
Validation loss : 0.16867054679564067 - MSE: 0.3147993311036511
Epoch: 21
Training loss: 0.18154647418306868 - MSE: 0.3211529577614463
Validation loss : 0.16895278968981334 - MSE: 0.31527812329420285
Epoch: 22
Training loss: 0.18302884618344817 - MSE: 0.32261301473818527
Validation loss : 0.16908632452998842 - MSE: 0.31549884642507614
Epoch: 23
Training loss: 0.18315604886094344 - MSE: 0.3228350356322461
Validation loss : 0.16936154067516326 - MSE: 0.31595188302287297
Epoch: 24
Training loss: 0.18450002827979986 - MSE: 0.3239839581523096
Validation loss : 0.16373934490340097 - MSE: 0.305049752951267
Epoch: 25
Training loss: 0.18205712786287936 - MSE: 0.32188173152184024
Validation loss : 0.16982759663036892 - MSE: 0.31673403784266807
Epoch: 26
Training loss: 0.18361150451655528 - MSE: 0.32347288576566585
Validation loss : 0.17002783162253243 - MSE: 0.31706197823431076
Epoch: 27
Training loss: 0.1837405093665262 - MSE: 0.3236623950004521
Validation loss : 0.1702466935983726 - MSE: 0.3174226579672125
Epoch: 28
Training loss: 0.18387084331327272 - MSE: 0.32384873795983415
Validation loss : 0.1704471853162561 - MSE: 0.3177521555301999
Epoch: 29
Training loss: 0.18399080008413027 - MSE: 0.32403765795752404
Validation loss : 0.17062974699905942 - MSE: 0.3180521837053155
Epoch: 30
Training loss: 0.18410175344319019 - MSE: 0.32420901859116386
Validation loss : 0.1707934788295201 - MSE: 0.3183189065079205
Epoch: 31
Training loss: 0.18486136588656787 - MSE: 0.3247255681061213
Validation loss : 0.1643158195274217 - MSE: 0.3063969220184455
Epoch: 32
Training loss: 0.18248796441311976 - MSE: 0.32267628750574145
Validation loss : 0.17093155086040496 - MSE: 0.31855101221008225
Epoch: 33
Training loss: 0.18433468477818574 - MSE: 0.3245507782611819
Validation loss : 0.17107231404100146 - MSE: 0.31876078607414715
Epoch: 34
Training loss: 0.1844262485075923 - MSE: 0.3244452163176312
Validation loss : 0.16882688126393727 - MSE: 0.3150706890188823
Epoch: 35
Training loss: 0.18392424524119758 - MSE: 0.324205654223876
Validation loss : 0.17102763865675244 - MSE: 0.31873233262615813
Epoch: 36
Training loss: 0.18444539064053192 - MSE: 0.32476290058541424
Validation loss : 0.1710618957877159 - MSE: 0.3187860621688222
Epoch: 37
Training loss: 0.18447213949075023 - MSE: 0.3248193484842264
Validation loss : 0.17118607461452484 - MSE: 0.3189849752151141
Epoch: 38
Training loss: 0.1845299972275507 - MSE: 0.32490489942336864
Validation loss : 0.17124629765748978 - MSE: 0.31907812333166863
Epoch: 39
Training loss: 0.1845705191631919 - MSE: 0.32496864886378235
Validation loss : 0.1712949263198035 - MSE: 0.31915150782525803
Epoch: 40
Training loss: 0.18460767860840827 - MSE: 0.3250271369027085
Validation loss : 0.1713347430740084 - MSE: 0.3192079650254787
Epoch: 41
Training loss: 0.18459357968667178 - MSE: 0.32493985930919805
Validation loss : 0.17126634951148714 - MSE: 0.31903738355696465
Epoch: 42
Training loss: 0.1847408192539678 - MSE: 0.3251172131579227
Validation loss : 0.1711632431617805 - MSE: 0.31886833541793747
Epoch: 43
Training loss: 0.1846697156869092 - MSE: 0.3250796987794933
Validation loss : 0.17156502742852484 - MSE: 0.3195102190083292
Epoch: 44
Training loss: 0.18481400829640407 - MSE: 0.32525249060006617
Validation loss : 0.17159117385745049 - MSE: 0.3195498722755084
Epoch: 45
Training loss: 0.18481341188827766 - MSE: 0.32525493477387024
Validation loss : 0.17149305109466825 - MSE: 0.31941440549978456
Epoch: 46
Training loss: 0.18484735977157807 - MSE: 0.32533338275619683
Validation loss : 0.17163099572062493 - MSE: 0.31964437437543114
Epoch: 47
Training loss: 0.18279396927038444 - MSE: 0.32289666238056913
Validation loss : 0.17021820939012935 - MSE: 0.3173593841243668
Epoch: 48
Training loss: 0.1844817269412638 - MSE: 0.32498562026863054
Validation loss : 0.17146757170557975 - MSE: 0.31939751577862935
Epoch: 49
Training loss: 0.18442679753581298 - MSE: 0.3249162113808871
Validation loss : 0.17147516182490757 - MSE: 0.3194035832121569
Prediction MSE: 0.3171
Finished at: 12:43:11
Time taken: 3700 s.
0 days 1 hours 1 minutes 40 seconds