Started at: 13:54:54
({'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: 0.4353753740065976 - MSE: 0.4631018830797368
Validation loss : 0.14201142988167703 - MSE: 0.292727476662094
Epoch: 1
Training loss: 0.16082680688092582 - MSE: 0.3039855683631176
Validation loss : 0.14794749207794666 - MSE: 0.29952175843163786
Epoch: 2
Training loss: 0.15888278323568797 - MSE: 0.30232633269739506
Validation loss : 0.12977031315676868 - MSE: 0.2779232412353849
Epoch: 3
Training loss: 0.1516539692878723 - MSE: 0.29570308847882737
Validation loss : 0.1342183407396078 - MSE: 0.28315487688041685
Epoch: 4
Training loss: 0.14969512843771984 - MSE: 0.29376316316788137
Validation loss : 0.13651572703383863 - MSE: 0.286356273434194
Epoch: 5
Training loss: 0.14825457373732015 - MSE: 0.29236288646470276
Validation loss : 0.13325480837374926 - MSE: 0.28235259219172804
Epoch: 6
Training loss: 0.14587709978222846 - MSE: 0.29145181360233374
Validation loss : 0.14294268772937357 - MSE: 0.29422283310077546
Epoch: 7
Training loss: 0.148439571535901 - MSE: 0.29440375310883926
Validation loss : 0.14034398854710162 - MSE: 0.2907182476260459
Epoch: 8
Training loss: 0.14813685872052845 - MSE: 0.2931949322407332
Validation loss : 0.12979571800678968 - MSE: 0.2782447249405777
Epoch: 9
Training loss: 0.14627560220266644 - MSE: 0.2917503264555033
Validation loss : 0.1504771877080202 - MSE: 0.30260855387996344
Epoch: 10
Training loss: 0.14390636309981347 - MSE: 0.29031416543032734
Validation loss : 0.13953579450026155 - MSE: 0.2890264796219526
Epoch: 11
Training loss: 0.14922026603629715 - MSE: 0.292561392520073
Validation loss : 0.1444824270438403 - MSE: 0.2944073201865649
Epoch: 12
Training loss: 0.14153452319534202 - MSE: 0.285389527479883
Validation loss : 0.1263227758463472 - MSE: 0.27377457326610966
Epoch: 13
Training loss: 0.14998281272618394 - MSE: 0.2927288895743673
Validation loss : 0.12917391466908157 - MSE: 0.27674699036970196
Epoch: 14
Training loss: 0.1430773071160442 - MSE: 0.2892675879716682
Validation loss : 0.14142304356209934 - MSE: 0.2941539923554046
Epoch: 15
Training loss: 0.15678064901577798 - MSE: 0.3018205089469717
Validation loss : 0.12917302176356316 - MSE: 0.27513299298107086
Epoch: 16
Training loss: 0.1494230675854181 - MSE: 0.2951704079181553
Validation loss : 0.1280019199475646 - MSE: 0.2731706016706994
Epoch: 17
Training loss: 0.14316309780666703 - MSE: 0.28891571660292187
Validation loss : 0.12425365822855383 - MSE: 0.27112690135936646
Epoch: 18
Training loss: 0.1434906577593402 - MSE: 0.28606728956978134
Validation loss : 0.15053234971128404 - MSE: 0.30457389003231583
Epoch: 19
Training loss: 0.14480229098545877 - MSE: 0.2907542990574569
Validation loss : 0.1469436811748892 - MSE: 0.3000679240572026
Epoch: 20
Training loss: 0.1462563581372562 - MSE: 0.2903288957751347
Validation loss : 0.16302492283284664 - MSE: 0.3174909429867512
Epoch: 21
Training loss: 0.14268505094867004 - MSE: 0.28808178734771134
Validation loss : 0.12645738548599184 - MSE: 0.2734583813939935
Epoch: 22
Training loss: 0.1431882705735533 - MSE: 0.29013400485776225
Validation loss : 0.14717783266678452 - MSE: 0.3002806941290146
Epoch: 23
Training loss: 0.1427597692922542 - MSE: 0.2874371575758064
Validation loss : 0.12963575683534145 - MSE: 0.2767674714336863
Epoch: 24
Training loss: 0.14602290623282133 - MSE: 0.29132534981254526
Validation loss : 0.15562276146374643 - MSE: 0.30841544617533145
Epoch: 25
Training loss: 0.14057497789985254 - MSE: 0.2866385142998687
Validation loss : 0.12258221080992371 - MSE: 0.2676300164089298
Epoch: 26
Training loss: 0.13991084024310113 - MSE: 0.2862323305934003
Validation loss : 0.14549001771956682 - MSE: 0.29673826599128006
Epoch: 27
Training loss: 0.13917529892764594 - MSE: 0.2846490242675938
Validation loss : 0.1338302984368056 - MSE: 0.2824601715906283
Epoch: 28
Training loss: 0.1368718992330526 - MSE: 0.28348191048819527
Validation loss : 0.13304794486612082 - MSE: 0.28124178885582296
Epoch: 29
Training loss: 0.137821614467784 - MSE: 0.28195915514916314
Validation loss : 0.1356566457543522 - MSE: 0.2844219791945761
Epoch: 30
Training loss: 0.1361325614154339 - MSE: 0.2826986827887364
Validation loss : 0.13432824215851724 - MSE: 0.28257486897155104
Epoch: 31
Training loss: 0.13651365814240354 - MSE: 0.28391514279453545
Validation loss : 0.131905903108418 - MSE: 0.2781696847882813
Epoch: 32
Training loss: 0.13995016409378302 - MSE: 0.28707461995686306
Validation loss : 0.12570394831709564 - MSE: 0.27155404622999413
Epoch: 33
Training loss: 0.13649120593541547 - MSE: 0.28244032196195645
Validation loss : 0.14095223206095397 - MSE: 0.28911527057744024
Epoch: 34
Training loss: 0.1340673217647954 - MSE: 0.27867030067386744
Validation loss : 0.13333224435336888 - MSE: 0.2808691598252153
Epoch: 35
Training loss: 0.13995135018700047 - MSE: 0.28584392441572315
Validation loss : 0.1441046737600118 - MSE: 0.2924803690762019
Epoch: 36
Training loss: 0.13585356917036207 - MSE: 0.28205852994357916
Validation loss : 0.12641809089109302 - MSE: 0.2719647221742889
Epoch: 37
Training loss: 0.1334524358181577 - MSE: 0.27814886716867226
Validation loss : 0.1252909282920882 - MSE: 0.26961817654182596
Epoch: 38
Training loss: 0.13675130664518004 - MSE: 0.2819899654138859
Validation loss : 0.12670658458955586 - MSE: 0.2694715199536404
Epoch: 39
Training loss: 0.14203872606158258 - MSE: 0.2871730161628519
Validation loss : 0.12392134603578597 - MSE: 0.26817289004202394
Epoch: 40
Training loss: 0.13206227970750709 - MSE: 0.276691860734664
Validation loss : 0.13078979856800288 - MSE: 0.27466980115377737
Epoch: 41
Training loss: 0.12805982130138496 - MSE: 0.2710922008030201
Validation loss : 0.12727816868573427 - MSE: 0.2713130691331571
Epoch: 42
Training loss: 0.13381463900992746 - MSE: 0.278782454490264
Validation loss : 0.12439186288975179 - MSE: 0.268768574088881
Epoch: 43
Training loss: 0.13151515741881573 - MSE: 0.2769709271339163
Validation loss : 0.12473266012966633 - MSE: 0.2695750142224824
Epoch: 44
Training loss: 0.1333275243639946 - MSE: 0.27819333739906565
Validation loss : 0.1318286785390228 - MSE: 0.27975270126580654
Epoch: 45
Training loss: 0.13525590014300848 - MSE: 0.28165232395928347
Validation loss : 0.1437157525215298 - MSE: 0.2930013135551235
Epoch: 46
Training loss: 0.13600627027059856 - MSE: 0.28016695449047596
Validation loss : 0.1300448328256607 - MSE: 0.277788145328941
Epoch: 47
Training loss: 0.13571204899957307 - MSE: 0.28108837257762886
Validation loss : 0.14319611224345863 - MSE: 0.2946443597097641
Epoch: 48
Training loss: 0.13801725310714621 - MSE: 0.28457944872565033
Validation loss : 0.1235988138942048 - MSE: 0.26992533342081515
Epoch: 49
Training loss: 0.13513703507028127 - MSE: 0.280980582588955
Validation loss : 0.12929309718310833 - MSE: 0.275822758477716
Prediction MSE: 0.2913
Finished at: 13:54:54
Time taken: 3364 s.
0 days 0 hours 56 minutes 4 seconds

 
 

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