03-05-2023_nb-bert-base_batchsize_512_all_units_0.001_1_150_freeze_True.txt

Started at: 15:20:16
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Epoch: 0
Training loss: 0.6578984168859628 - MAE: 0.6674722109137042
Validation loss : 0.32113080024719237 - MAE: 0.45643225009255417
Epoch: 1
Training loss: 0.25543879431027633 - MAE: 0.3910323237625205
Validation loss : 0.2070162296295166 - MAE: 0.3427800552704421
Epoch: 2
Training loss: 0.20022909687115595 - MAE: 0.34185446647043155
Validation loss : 0.1910509407520294 - MAE: 0.3408369084923425
Epoch: 3
Training loss: 0.18548667545502 - MAE: 0.324754784674793
Validation loss : 0.17563332319259645 - MAE: 0.32411278291801865
Epoch: 4
Training loss: 0.17486068262503698 - MAE: 0.3197417418736398
Validation loss : 0.16728453636169432 - MAE: 0.31319684318909913
Epoch: 5
Training loss: 0.16917219643409437 - MAE: 0.3116997644461795
Validation loss : 0.16494652032852172 - MAE: 0.31156720464741927
Epoch: 6
Training loss: 0.1663729869402372 - MAE: 0.3068122622576569
Validation loss : 0.16140909492969513 - MAE: 0.30731822951750715
Epoch: 7
Training loss: 0.16431669317759 - MAE: 0.3058750525941657
Validation loss : 0.15877128541469573 - MAE: 0.30407342135000287
Epoch: 8
Training loss: 0.16241646844607133 - MAE: 0.3041819685850804
Validation loss : 0.1569153904914856 - MAE: 0.3017167806049155
Epoch: 9
Training loss: 0.16105010303167197 - MAE: 0.3032572371335961
Validation loss : 0.15558656454086303 - MAE: 0.3001891695223057
Epoch: 10
Training loss: 0.15921874344348907 - MAE: 0.3000818604914875
Validation loss : 0.15467585921287536 - MAE: 0.29914423021883907
Epoch: 11
Training loss: 0.15774007026965803 - MAE: 0.2982069839270297
Validation loss : 0.1533532589673996 - MAE: 0.297580975135282
Epoch: 12
Training loss: 0.15732021515186018 - MAE: 0.2976011320081585
Validation loss : 0.15192450284957887 - MAE: 0.29573920735107395
Epoch: 13
Training loss: 0.15720971043293291 - MAE: 0.29652890957399775
Validation loss : 0.1509649246931076 - MAE: 0.29458318810555245
Epoch: 14
Training loss: 0.15484117773862985 - MAE: 0.29611318781416973
Validation loss : 0.1503614068031311 - MAE: 0.2939076775146755
Epoch: 15
Training loss: 0.155086215872031 - MAE: 0.29664500405408706
Validation loss : 0.15024077594280244 - MAE: 0.29392331689441004
Epoch: 16
Training loss: 0.15504858241631433 - MAE: 0.2957256243301222
Validation loss : 0.1485931918025017 - MAE: 0.2914224770774145
Epoch: 17
Training loss: 0.15379978257876176 - MAE: 0.29412706894690854
Validation loss : 0.14767061471939086 - MAE: 0.2902352961206649
Epoch: 18
Training loss: 0.1524271907714697 - MAE: 0.29522762759884463
Validation loss : 0.14687707424163818 - MAE: 0.2890248553978195
Epoch: 19
Training loss: 0.15298244586357704 - MAE: 0.2947185932796371
Validation loss : 0.14664213359355927 - MAE: 0.28895800873643585
Epoch: 20
Training loss: 0.15084516085111177 - MAE: 0.292000504315752
Validation loss : 0.14631550312042235 - MAE: 0.28849219420284944
Epoch: 21
Training loss: 0.15149428523503816 - MAE: 0.2936117120334934
Validation loss : 0.14516318440437317 - MAE: 0.28667382433218613
Epoch: 22
Training loss: 0.1504942155801333 - MAE: 0.2927925834077908
Validation loss : 0.1446590781211853 - MAE: 0.28609412944511414
Epoch: 23
Training loss: 0.1504766345024109 - MAE: 0.29175161025587215
Validation loss : 0.14430544078350066 - MAE: 0.28555207548422323
Epoch: 24
Training loss: 0.15013286700615516 - MAE: 0.2912126204325197
Validation loss : 0.1440100222826004 - MAE: 0.28499906257314495
Epoch: 25
Training loss: 0.14975401071401742 - MAE: 0.2924956689023364
Validation loss : 0.14365987926721574 - MAE: 0.28487079413975225
Epoch: 26
Training loss: 0.1486645724910956 - MAE: 0.2897513086297186
Validation loss : 0.14352002441883088 - MAE: 0.28460829742287724
Epoch: 27
Training loss: 0.14726154735455146 - MAE: 0.289499577762165
Validation loss : 0.14327441155910492 - MAE: 0.2841265074565353
Epoch: 28
Training loss: 0.1473093697657952 - MAE: 0.28847736514612604
Validation loss : 0.14346123337745667 - MAE: 0.28399052003823066
Epoch: 29
Training loss: 0.14938327096975768 - MAE: 0.29230637823618844
Validation loss : 0.14395955055952073 - MAE: 0.2843064640604636
Epoch: 30
Training loss: 0.14854242480718172 - MAE: 0.29098683805232695
Validation loss : 0.14319908618927002 - MAE: 0.2834741994556754
Epoch: 31
Training loss: 0.14840638179045457 - MAE: 0.29053861147428733
Validation loss : 0.1427803859114647 - MAE: 0.2833583845099959
Epoch: 32
Training loss: 0.1459128730572187 - MAE: 0.2879114311089722
Validation loss : 0.14306370466947554 - MAE: 0.2832036745205818
Epoch: 33
Training loss: 0.14653718242278466 - MAE: 0.2880150190532383
Validation loss : 0.1422912061214447 - MAE: 0.28235958335404876
Epoch: 34
Training loss: 0.14544093838104835 - MAE: 0.28814428108456663
Validation loss : 0.1417948916554451 - MAE: 0.28217832070705684
Epoch: 35
Training loss: 0.14233749818343383 - MAE: 0.2848128630365372
Validation loss : 0.14197540581226348 - MAE: 0.2819948387701627
Epoch: 36
Training loss: 0.14591436661206758 - MAE: 0.2867867222453149
Validation loss : 0.14212212413549424 - MAE: 0.28220088665256465
Epoch: 37
Training loss: 0.14779657813218924 - MAE: 0.2896514004121749
Validation loss : 0.14221723079681398 - MAE: 0.28241207694137505
Epoch: 38
Training loss: 0.14406724446094954 - MAE: 0.28502251664532363
Validation loss : 0.141465026140213 - MAE: 0.28188930577870985
Epoch: 39
Training loss: 0.14614520508509415 - MAE: 0.2860779968086246
Validation loss : 0.14187605679035187 - MAE: 0.2822775998655205
Epoch: 40
Training loss: 0.1447937310888217 - MAE: 0.2860658662966973
Validation loss : 0.1419243961572647 - MAE: 0.2820589519403943
Epoch: 41
Training loss: 0.1429994381391085 - MAE: 0.2839222755689062
Validation loss : 0.1411146491765976 - MAE: 0.2814599892237311
Epoch: 42
Training loss: 0.14441114434829125 - MAE: 0.2875613457441875
Validation loss : 0.14121354520320892 - MAE: 0.28157821050262266
Epoch: 43
Training loss: 0.14265902397724298 - MAE: 0.2836004137758473
Validation loss : 0.1405272126197815 - MAE: 0.28080432792609217
Epoch: 44
Training loss: 0.1434896015203916 - MAE: 0.28443744152757766
Validation loss : 0.14023690074682235 - MAE: 0.28072583348933833
Epoch: 45
Training loss: 0.1423586578323291 - MAE: 0.28374326575148284
Validation loss : 0.1404753804206848 - MAE: 0.2810644422827585
Epoch: 46
Training loss: 0.14247320707027727 - MAE: 0.28401886364945994
Validation loss : 0.14009937793016433 - MAE: 0.2806794477226281
Epoch: 47
Training loss: 0.14120651552310357 - MAE: 0.28229517384472164
Validation loss : 0.139960640668869 - MAE: 0.2806472530553984
Epoch: 48
Training loss: 0.14218630813635313 - MAE: 0.2832958298045566
Validation loss : 0.1400438129901886 - MAE: 0.2806376852174643
Epoch: 49
Training loss: 0.14072744032511345 - MAE: 0.2815358373971234
Validation loss : 0.13983349055051802 - MAE: 0.28035547979667097
Epoch: 50
Training loss: 0.14106086985423014 - MAE: 0.2834159575686065
Validation loss : 0.13963805586099626 - MAE: 0.2802710658147125
Epoch: 51
Training loss: 0.14102395337361556 - MAE: 0.28336045792955183
Validation loss : 0.13965242654085158 - MAE: 0.2803002458644187
Epoch: 52
Training loss: 0.1396119651886133 - MAE: 0.2809428199059649
Validation loss : 0.13931403458118438 - MAE: 0.27979594739711555
Epoch: 53
Training loss: 0.140376376417967 - MAE: 0.2813901245880907
Validation loss : 0.13962441682815552 - MAE: 0.28021169542559937
Epoch: 54
Training loss: 0.1389008783377134 - MAE: 0.2803717069843361
Validation loss : 0.13934975266456603 - MAE: 0.2799291679125956
Epoch: 55
Training loss: 0.14089764138826957 - MAE: 0.2816503050324548
Validation loss : 0.1390330508351326 - MAE: 0.27953671464085195
Epoch: 56
Training loss: 0.1396836953667494 - MAE: 0.2801851170653943
Validation loss : 0.13911592066287995 - MAE: 0.2796431590849222
Epoch: 57
Training loss: 0.14228717065774477 - MAE: 0.28261935907213687
Validation loss : 0.13910008668899537 - MAE: 0.2794848830813268
Epoch: 58
Training loss: 0.14174257791959322 - MAE: 0.2830101533193788
Validation loss : 0.1392299562692642 - MAE: 0.2796665532822048
Epoch: 59
Training loss: 0.13877977029635355 - MAE: 0.28101058076730756
Validation loss : 0.13893118500709534 - MAE: 0.27922338536471736
Epoch: 60
Training loss: 0.14099249759545693 - MAE: 0.28129538035623025
Validation loss : 0.13877058774232864 - MAE: 0.2788124505144099
Epoch: 61
Training loss: 0.14083499174851638 - MAE: 0.28140475324924535
Validation loss : 0.1388132631778717 - MAE: 0.27895793644841305
Epoch: 62
Training loss: 0.13981370169382829 - MAE: 0.28021522353353734
Validation loss : 0.13881018608808518 - MAE: 0.27853931116345737
Epoch: 63
Training loss: 0.13982435315847397 - MAE: 0.2802393634810146
Validation loss : 0.13890531659126282 - MAE: 0.2790643887992218
Epoch: 64
Training loss: 0.13806397983661065 - MAE: 0.278776224088348
Validation loss : 0.13891883492469786 - MAE: 0.27895884029934753
Epoch: 65
Training loss: 0.1372137344800509 - MAE: 0.27780837905908273
Validation loss : 0.1389988362789154 - MAE: 0.2791244679713804
Stopped after 65 epochs.
Prediction MAE: 0.2687
Finished at: 15:20:16
Time taken: 5035 s.
0 days 1 hours 23 minutes 55 seconds