03-05-2023_norbert_batchsize_512_all_units_0.001_1_150_freeze_True.txt

Started at: 14:22:52
({'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': '075d4e3705390691013e859faffc5696d071e33b'}, {})
Epoch: 0
Training loss: 0.6967193094583658 - MAE: 0.6750990625330823
Validation loss : 0.5263436496257782 - MAE: 0.613448569191522
Epoch: 1
Training loss: 0.26826212727106535 - MAE: 0.4087051125792896
Validation loss : 0.22296061515808105 - MAE: 0.3555378972565709
Epoch: 2
Training loss: 0.2124968572304799 - MAE: 0.3476390507866737
Validation loss : 0.20461321175098418 - MAE: 0.3532590132614058
Epoch: 3
Training loss: 0.18429063145930952 - MAE: 0.32677963264803717
Validation loss : 0.17646469473838805 - MAE: 0.3203760276514041
Epoch: 4
Training loss: 0.17768853444319505 - MAE: 0.31684026520272845
Validation loss : 0.17874470055103303 - MAE: 0.3257858562177419
Epoch: 5
Training loss: 0.17304767782871538 - MAE: 0.3139755194179104
Validation loss : 0.1718216747045517 - MAE: 0.31812428100953294
Epoch: 6
Training loss: 0.17041566165593955 - MAE: 0.31176170900212385
Validation loss : 0.17110097408294678 - MAE: 0.3175205683975872
Epoch: 7
Training loss: 0.16822290764405176 - MAE: 0.3093251221653364
Validation loss : 0.17010048031806946 - MAE: 0.3165555384963895
Epoch: 8
Training loss: 0.16749977606993455 - MAE: 0.309235729717861
Validation loss : 0.1681269407272339 - MAE: 0.31405053463780375
Epoch: 9
Training loss: 0.1660219534085347 - MAE: 0.30707150650440435
Validation loss : 0.16768858432769776 - MAE: 0.3134797613244496
Epoch: 10
Training loss: 0.16200380256542793 - MAE: 0.3036754525218348
Validation loss : 0.1665838599205017 - MAE: 0.3121892924671111
Epoch: 11
Training loss: 0.16332647777520692 - MAE: 0.3039458888319623
Validation loss : 0.16546964943408965 - MAE: 0.3107545377167428
Epoch: 12
Training loss: 0.16287456223597893 - MAE: 0.30448042997749564
Validation loss : 0.16524331867694855 - MAE: 0.3106786227351389
Epoch: 13
Training loss: 0.15990304029904878 - MAE: 0.30016709856440854
Validation loss : 0.16489878594875335 - MAE: 0.31031377115036685
Epoch: 14
Training loss: 0.15767766993779403 - MAE: 0.2997244083849813
Validation loss : 0.16339748501777648 - MAE: 0.3083185140265562
Epoch: 15
Training loss: 0.15951268031046942 - MAE: 0.29912324704552734
Validation loss : 0.16375492811203002 - MAE: 0.3090144460164269
Epoch: 16
Training loss: 0.15623677808504838 - MAE: 0.2973088492735953
Validation loss : 0.16299248337745667 - MAE: 0.30820454237494843
Epoch: 17
Training loss: 0.1564337038076841 - MAE: 0.29861382568944933
Validation loss : 0.16230234503746033 - MAE: 0.30725784051523525
Epoch: 18
Training loss: 0.15549989617787874 - MAE: 0.2960598878509324
Validation loss : 0.16213322579860687 - MAE: 0.3070436707425703
Epoch: 19
Training loss: 0.1569853677199437 - MAE: 0.29836095928185685
Validation loss : 0.16146726608276368 - MAE: 0.30629696980134635
Epoch: 20
Training loss: 0.1547408069555576 - MAE: 0.2970990607700864
Validation loss : 0.16105090379714965 - MAE: 0.3058310992073678
Epoch: 21
Training loss: 0.154588805941435 - MAE: 0.2957786660002471
Validation loss : 0.16075867414474487 - MAE: 0.30553690240829345
Epoch: 22
Training loss: 0.153683405656081 - MAE: 0.29670572424115915
Validation loss : 0.16087317764759063 - MAE: 0.3056201053962598
Epoch: 23
Training loss: 0.15514581363934737 - MAE: 0.2955321868620246
Validation loss : 0.16066641211509705 - MAE: 0.30531659865767746
Epoch: 24
Training loss: 0.15376647619100717 - MAE: 0.2947861379473795
Validation loss : 0.1603192001581192 - MAE: 0.3047779291624614
Epoch: 25
Training loss: 0.15424712231526008 - MAE: 0.295517101740558
Validation loss : 0.16027258038520814 - MAE: 0.30490525127423435
Epoch: 26
Training loss: 0.1534990152487388 - MAE: 0.2947872614603403
Validation loss : 0.15944191813468933 - MAE: 0.3040211334248351
Epoch: 27
Training loss: 0.15433337367497957 - MAE: 0.29452155782914224
Validation loss : 0.1589920550584793 - MAE: 0.3033883763699271
Epoch: 28
Training loss: 0.15299253509594843 - MAE: 0.29417555280935553
Validation loss : 0.15820957720279694 - MAE: 0.30212984699933354
Epoch: 29
Training loss: 0.1528388296182339 - MAE: 0.29439108542262243
Validation loss : 0.15762979090213775 - MAE: 0.30137274414478366
Epoch: 30
Training loss: 0.15239140964471376 - MAE: 0.2931581262311504
Validation loss : 0.1580193370580673 - MAE: 0.30197420343316406
Epoch: 31
Training loss: 0.15259050176693842 - MAE: 0.29443273043635304
Validation loss : 0.15747585594654084 - MAE: 0.30127911144588826
Epoch: 32
Training loss: 0.1526124311181215 - MAE: 0.29437440890737165
Validation loss : 0.15704381465911865 - MAE: 0.30065229981507346
Epoch: 33
Training loss: 0.15283041046215937 - MAE: 0.29381278442156483
Validation loss : 0.15643138587474822 - MAE: 0.300023304194808
Epoch: 34
Training loss: 0.15295472053381112 - MAE: 0.2943630839679987
Validation loss : 0.15613988637924195 - MAE: 0.2997042731770326
Epoch: 35
Training loss: 0.1538951786664816 - MAE: 0.2953855544885684
Validation loss : 0.15575254261493682 - MAE: 0.2986546943191013
Epoch: 36
Training loss: 0.15247866969842178 - MAE: 0.2940545876422218
Validation loss : 0.15558441281318663 - MAE: 0.29878957189644934
Epoch: 37
Training loss: 0.15140113463768592 - MAE: 0.2934594637632915
Validation loss : 0.15546987056732178 - MAE: 0.2987917791428303
Epoch: 38
Training loss: 0.15235514824207014 - MAE: 0.29373894252168026
Validation loss : 0.1554083526134491 - MAE: 0.29874726278048536
Stopped after 38 epochs.
Prediction MAE: 0.2850
Finished at: 14:22:52
Time taken: 3069 s.
0 days 0 hours 51 minutes 9 seconds

 
 

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Started at: 15:18:57
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