11-04-2023-09:30:12_nb-bert-base_house_0.006_1_50_freeze_True.txt

Started at: 09:30:12
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Epoch: 0
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Validation loss : 0.14451597188599408 - MSE: 0.2960304229995927
Epoch: 1
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Validation loss : 0.12380113103426993 - MSE: 0.26862038821082024
Epoch: 2
Training loss: 0.14443182972700971 - MSE: 0.28899192076676716
Validation loss : 0.12112187955062836 - MSE: 0.2663072116915828
Epoch: 3
Training loss: 0.14475514602504277 - MSE: 0.29038970057934027
Validation loss : 0.13478531874716282 - MSE: 0.2850182042234337
Epoch: 4
Training loss: 0.1408511215134671 - MSE: 0.2861137754569417
Validation loss : 0.13267319882288575 - MSE: 0.2831877799249014
Epoch: 5
Training loss: 0.136032929232246 - MSE: 0.279424393321389
Validation loss : 0.11587779759429395 - MSE: 0.2579734090027159
Epoch: 6
Training loss: 0.1351911084432351 - MSE: 0.2779842455851462
Validation loss : 0.11928518384229392 - MSE: 0.25956903308497203
Epoch: 7
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Validation loss : 0.11641600204166025 - MSE: 0.2570362210167332
Epoch: 8
Training loss: 0.13039547287319836 - MSE: 0.2738442464898942
Validation loss : 0.11378515849355608 - MSE: 0.2556338147619499
Epoch: 9
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Validation loss : 0.11927694408223033 - MSE: 0.2592867935668437
Epoch: 10
Training loss: 0.13600184517471414 - MSE: 0.27845210879496773
Validation loss : 0.12289933965075761 - MSE: 0.2641740314788876
Epoch: 11
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Validation loss : 0.11782969336491078 - MSE: 0.258937672893353
Epoch: 12
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Validation loss : 0.11472726217471063 - MSE: 0.25845796944440735
Epoch: 13
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Validation loss : 0.11630514287389815 - MSE: 0.25740234173235876
Epoch: 14
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Validation loss : 0.11639386380556971 - MSE: 0.2606048270604333
Epoch: 15
Training loss: 0.14136280589982084 - MSE: 0.286976132520683
Validation loss : 0.12002589798066765 - MSE: 0.26447004281317277
Epoch: 16
Training loss: 0.13457591416020143 - MSE: 0.2796572462970741
Validation loss : 0.11478170729242265 - MSE: 0.2548193569305113
Epoch: 17
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Validation loss : 0.11653975711669773 - MSE: 0.25721588885744495
Epoch: 18
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Validation loss : 0.1213059100555256 - MSE: 0.2660068857726401
Epoch: 19
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Validation loss : 0.11323059559799731 - MSE: 0.2554361889847314
Epoch: 20
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Validation loss : 0.11533307109493762 - MSE: 0.25642082826334445
Epoch: 21
Training loss: 0.1338770524843743 - MSE: 0.2793606339234174
Validation loss : 0.12536148354411125 - MSE: 0.2694582264007295
Epoch: 22
Training loss: 0.13188404574206 - MSE: 0.2766540656590396
Validation loss : 0.13748734653927386 - MSE: 0.2803560604293125
Epoch: 23
Training loss: 0.13104969533650498 - MSE: 0.2743808910846676
Validation loss : 0.1219000396085903 - MSE: 0.2662790239332935
Epoch: 24
Training loss: 0.13551811905283678 - MSE: 0.28055588907791484
Validation loss : 0.14736322406679392 - MSE: 0.29964323991544006
Epoch: 25
Training loss: 0.13718021135581168 - MSE: 0.28318757243875925
Validation loss : 0.11899347451981157 - MSE: 0.2621157228491029
Epoch: 26
Training loss: 0.13100487805510821 - MSE: 0.2789037081560569
Validation loss : 0.13913047080859542 - MSE: 0.2888981162464006
Epoch: 27
Training loss: 0.13614017461475572 - MSE: 0.2837393993703743
Validation loss : 0.14889122126623988 - MSE: 0.3014935638998395
Epoch: 28
Training loss: 0.13263703659176826 - MSE: 0.27921183830932944
Validation loss : 0.14452552725560963 - MSE: 0.2970602020864135
Epoch: 29
Training loss: 0.13145011847740726 - MSE: 0.2774902108509513
Validation loss : 0.1312379497103393 - MSE: 0.27995068426344005
Epoch: 30
Training loss: 0.13625472262501717 - MSE: 0.28392471717865353
Validation loss : 0.15018613613210618 - MSE: 0.30232524799748717
Epoch: 31
Training loss: 0.13128532233991122 - MSE: 0.2781403466314832
Validation loss : 0.13302770163863897 - MSE: 0.27928520940577073
Epoch: 32
Training loss: 0.13286432255255548 - MSE: 0.2781598539047067
Validation loss : 0.12104220653418452 - MSE: 0.26438590515272153
Epoch: 33
Training loss: 0.13172871352810608 - MSE: 0.27850604457285644
Validation loss : 0.14591129589825869 - MSE: 0.29560644293769656
Epoch: 34
Training loss: 0.1325178251062569 - MSE: 0.27838022017297265
Validation loss : 0.12794714840129018 - MSE: 0.2727071648473611
Epoch: 35
Training loss: 0.13006003110816605 - MSE: 0.27699513519377594
Validation loss : 0.13357223267666996 - MSE: 0.27988665688417314
Epoch: 36
Training loss: 0.13186843524637976 - MSE: 0.27935558347443085
Validation loss : 0.13355786562897265 - MSE: 0.28024383311958445
Epoch: 37
Training loss: 0.13732868425155942 - MSE: 0.28687534250523655
Validation loss : 0.14360901527106762 - MSE: 0.2939016175000688
Epoch: 38
Training loss: 0.1307220984446375 - MSE: 0.2767118099647979
Validation loss : 0.11899578187149018 - MSE: 0.2615764650759047
Epoch: 39
Training loss: 0.12640678902205668 - MSE: 0.27050567044672175
Validation loss : 0.12004342454019934 - MSE: 0.2610282185264623
Epoch: 40
Training loss: 0.13265986238655292 - MSE: 0.2800912648995999
Validation loss : 0.13461088319309056 - MSE: 0.28160051242548434
Epoch: 41
Training loss: 0.12853169970606504 - MSE: 0.27416806578210084
Validation loss : 0.14122066367417574 - MSE: 0.290220834379852
Epoch: 42
Training loss: 0.1282540511143835 - MSE: 0.27264997795586526
Validation loss : 0.1272425636416301 - MSE: 0.27375264556712864
Epoch: 43
Training loss: 0.12824119266710785 - MSE: 0.27750363788126614
Validation loss : 0.16908318153582513 - MSE: 0.3251132731452344
Epoch: 44
Training loss: 0.13700977257992092 - MSE: 0.285280645453895
Validation loss : 0.14622909598983824 - MSE: 0.2962210706677979
Epoch: 45
Training loss: 0.12867848398654083 - MSE: 0.27772063118250573
Validation loss : 0.11887926666531712 - MSE: 0.2596756524067132
Epoch: 46
Training loss: 0.12666144131829865 - MSE: 0.2715553219006141
Validation loss : 0.1213836541865021 - MSE: 0.26460106517288295
Epoch: 47
Training loss: 0.12143220446611705 - MSE: 0.26636162322731693
Validation loss : 0.13553410721942782 - MSE: 0.2814099855963832
Epoch: 48
Training loss: 0.1331445730046222 - MSE: 0.28066945952464484
Validation loss : 0.126083126058802 - MSE: 0.2692692344785428
Epoch: 49
Training loss: 0.12848863872258287 - MSE: 0.2728191697215874
Validation loss : 0.13695504632778466 - MSE: 0.2860352762868388
Prediction MSE: 0.3212
Finished at: 09:30:12
Time taken: 3272 s.
0 days 0 hours 54 minutes 32 seconds

 
 

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