Started at: 14:58:07
({'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: 0.7675554938614368 - MAE: 0.7218268842869793
Validation loss : 0.5840958555539449 - MAE: 0.5827894046582064
Epoch: 1
Training loss: 0.49415092915296555 - MAE: 0.5986839248419658
Validation loss : 0.4720619022846222 - MAE: 0.585200722348146
Epoch: 2
Training loss: 0.4484046511352062 - MAE: 0.554433520788571
Validation loss : 0.4777786135673523 - MAE: 0.5403046027523047
Epoch: 3
Training loss: 0.415366031229496 - MAE: 0.5435317536295668
Validation loss : 0.42990968624750775 - MAE: 0.5419536063906305
Epoch: 4
Training loss: 0.39412142150104046 - MAE: 0.5245434911285064
Validation loss : 0.4350344041983287 - MAE: 0.5241025617347218
Epoch: 5
Training loss: 0.38853260688483715 - MAE: 0.5237674086717746
Validation loss : 0.4117620090643565 - MAE: 0.5211508578778722
Epoch: 6
Training loss: 0.3667535427957773 - MAE: 0.5072329589138348
Validation loss : 0.40754977862040204 - MAE: 0.5151992849713838
Epoch: 7
Training loss: 0.3623247407376766 - MAE: 0.5045013681358567
Validation loss : 0.4099322458108266 - MAE: 0.5114030400583374
Epoch: 8
Training loss: 0.3549719639122486 - MAE: 0.4960748857304838
Validation loss : 0.3965168197949727 - MAE: 0.5095656718918984
Epoch: 9
Training loss: 0.35677218809723854 - MAE: 0.4991656174770718
Validation loss : 0.3989155093828837 - MAE: 0.504121969526425
Epoch: 10
Training loss: 0.35797534696757793 - MAE: 0.4965052647383213
Validation loss : 0.3919292589028676 - MAE: 0.5021860128100027
Epoch: 11
Training loss: 0.3498771656304598 - MAE: 0.4923322100425394
Validation loss : 0.3922814130783081 - MAE: 0.49962354808867465
Epoch: 12
Training loss: 0.35045805759727955 - MAE: 0.49545303288574233
Validation loss : 0.38426289955774945 - MAE: 0.4981140455265725
Epoch: 13
Training loss: 0.34572333469986916 - MAE: 0.4875545829879762
Validation loss : 0.3801858226458232 - MAE: 0.49636689515641264
Epoch: 14
Training loss: 0.33835710026323795 - MAE: 0.4836895945561605
Validation loss : 0.3836107651392619 - MAE: 0.49250687287180367
Epoch: 15
Training loss: 0.3261668477207422 - MAE: 0.47392514293900473
Validation loss : 0.37519946694374084 - MAE: 0.49084831912535476
Epoch: 16
Training loss: 0.3351526018232107 - MAE: 0.4787258875098658
Validation loss : 0.37367749214172363 - MAE: 0.48954017311969195
Epoch: 17
Training loss: 0.3310759160667658 - MAE: 0.4774447066315486
Validation loss : 0.3774259686470032 - MAE: 0.4880097384906474
Epoch: 18
Training loss: 0.3268157131969929 - MAE: 0.4769134193579944
Validation loss : 0.36933284997940063 - MAE: 0.4866532541966137
Epoch: 19
Training loss: 0.33208456821739674 - MAE: 0.47655296778862255
Validation loss : 0.37112205227216083 - MAE: 0.4855814635377032
Epoch: 20
Training loss: 0.3221704252064228 - MAE: 0.4708966708048943
Validation loss : 0.37305204073588055 - MAE: 0.4843745666473899
Epoch: 21
Training loss: 0.319220207631588 - MAE: 0.4659159570559885
Validation loss : 0.3656473060448964 - MAE: 0.48240164131099855
Epoch: 22
Training loss: 0.3088933750987053 - MAE: 0.4629783055296608
Validation loss : 0.36868762969970703 - MAE: 0.48167770456315573
Epoch: 23
Training loss: 0.3150640856474638 - MAE: 0.46574956633475034
Validation loss : 0.36718644698460895 - MAE: 0.4807008610589718
Epoch: 24
Training loss: 0.3263703305274248 - MAE: 0.46966805492677394
Validation loss : 0.3651814063390096 - MAE: 0.4781980939746582
Epoch: 25
Training loss: 0.31337919645011425 - MAE: 0.4650738039108138
Validation loss : 0.3631853063901265 - MAE: 0.47657958342163376
Epoch: 26
Training loss: 0.3027796037495136 - MAE: 0.45648859327611346
Validation loss : 0.3644178807735443 - MAE: 0.4770563301927407
Epoch: 27
Training loss: 0.30631479527801275 - MAE: 0.4615475886237446
Validation loss : 0.36238805452982586 - MAE: 0.4760323912501618
Epoch: 28
Training loss: 0.29972987715154886 - MAE: 0.45893463544292934
Validation loss : 0.36146967609723407 - MAE: 0.4746660599977354
Epoch: 29
Training loss: 0.30621732398867607 - MAE: 0.45393519314470104
Validation loss : 0.36188016335169476 - MAE: 0.47444358872711484
Epoch: 30
Training loss: 0.30003988929092884 - MAE: 0.448404071901565
Validation loss : 0.36090312401453656 - MAE: 0.47481797562388134
Epoch: 31
Training loss: 0.3012841921299696 - MAE: 0.44778333443361495
Validation loss : 0.35667558511098224 - MAE: 0.47518212163760953
Epoch: 32
Training loss: 0.30491428170353174 - MAE: 0.45890286431583355
Validation loss : 0.3571072618166606 - MAE: 0.4736985243697936
Epoch: 33
Training loss: 0.3010206427425146 - MAE: 0.45760268311124075
Validation loss : 0.36011503140131634 - MAE: 0.47242688117959375
Epoch: 34
Training loss: 0.29713138565421104 - MAE: 0.4468806547943791
Validation loss : 0.3554988702138265 - MAE: 0.4713470852430808
Epoch: 35
Training loss: 0.30235562287271023 - MAE: 0.4522422574100237
Validation loss : 0.35319969058036804 - MAE: 0.4707372847227054
Epoch: 36
Training loss: 0.30070487409830093 - MAE: 0.45000269994060405
Validation loss : 0.35977308948834735 - MAE: 0.47115754516344915
Epoch: 37
Training loss: 0.2940844837576151 - MAE: 0.4457877531789012
Validation loss : 0.3541162312030792 - MAE: 0.46925242625849894
Epoch: 38
Training loss: 0.2927453964948654 - MAE: 0.44387900227096877
Validation loss : 0.3512108226617177 - MAE: 0.46862782827297744
Epoch: 39
Training loss: 0.2956219185143709 - MAE: 0.4447142730371315
Validation loss : 0.35279321670532227 - MAE: 0.46747089528658803
Epoch: 40
Training loss: 0.2984335059300065 - MAE: 0.4532287615700179
Validation loss : 0.3487510085105896 - MAE: 0.4672468031250363
Epoch: 41
Training loss: 0.29500467143952847 - MAE: 0.44941650953029905
Validation loss : 0.35171499848365784 - MAE: 0.4670240575087081
Epoch: 42
Training loss: 0.29223047010600567 - MAE: 0.44350205461863434
Validation loss : 0.35429759820302326 - MAE: 0.46781057479059346
Epoch: 43
Training loss: 0.28924912493675947 - MAE: 0.44021046934548674
Validation loss : 0.3455183307329814 - MAE: 0.4653342776132767
Epoch: 44
Training loss: 0.29800725169479847 - MAE: 0.4479677383668775
Validation loss : 0.3473891317844391 - MAE: 0.4645192375502085
Epoch: 45
Training loss: 0.28597113117575645 - MAE: 0.44190235021334245
Validation loss : 0.3452657361825307 - MAE: 0.46518733420314146
Epoch: 46
Training loss: 0.29042599257081747 - MAE: 0.4467233750973887
Validation loss : 0.3509729901949565 - MAE: 0.4643504481528467
Epoch: 47
Training loss: 0.28479550406336784 - MAE: 0.44245911626224
Validation loss : 0.3489089111487071 - MAE: 0.4635099735854546
Epoch: 48
Training loss: 0.2952036103233695 - MAE: 0.4475506065810583
Validation loss : 0.34447206060091656 - MAE: 0.4635133908960188
Epoch: 49
Training loss: 0.2851987089961767 - MAE: 0.44285944733544663
Validation loss : 0.3472921848297119 - MAE: 0.4630872300018957
Prediction MAE: 0.4576
Finished at: 14:58:07
Time taken: 3756 s.
0 days 1 hours 2 minutes 36 seconds

 
 

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