05-05-2023_norbert2_batchsize_256_all_units_0.0005_1_200_freeze_True_earlystop_3.txt

Started at: 12:33:08
({'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: 0.34034032225608823 - MAE: 0.45751100328425043
Validation loss : 0.20192567838562858 - MAE: 0.3443028131702277
Epoch: 1
Training loss: 0.21138036668300628 - MAE: 0.35259469495701584
Validation loss : 0.19307727449470097 - MAE: 0.3411017983370112
Epoch: 2
Training loss: 0.1951470822095871 - MAE: 0.3371726994373718
Validation loss : 0.1826503872871399 - MAE: 0.3290534102707088
Epoch: 3
Training loss: 0.1880119514465332 - MAE: 0.330053510216342
Validation loss : 0.17956634031401741 - MAE: 0.32711545778572254
Epoch: 4
Training loss: 0.1804283791780472 - MAE: 0.32134730454152893
Validation loss : 0.176905600561036 - MAE: 0.32432533000410785
Epoch: 5
Training loss: 0.18152455627918243 - MAE: 0.3227039616721611
Validation loss : 0.17382549080583784 - MAE: 0.3212278624694203
Epoch: 6
Training loss: 0.17641499400138855 - MAE: 0.3178502426835815
Validation loss : 0.17528054945998722 - MAE: 0.3241598988895522
Epoch: 7
Training loss: 0.1722068202495575 - MAE: 0.31442449621456453
Validation loss : 0.1724375370475981 - MAE: 0.32140079938239263
Epoch: 8
Training loss: 0.16665148079395295 - MAE: 0.30963764222638895
Validation loss : 0.1672506266170078 - MAE: 0.31489036384905245
Epoch: 9
Training loss: 0.16707129299640655 - MAE: 0.3100291273814063
Validation loss : 0.16691898637347752 - MAE: 0.31496471450269947
Epoch: 10
Training loss: 0.1675616580247879 - MAE: 0.30764175755177864
Validation loss : 0.1650147471163008 - MAE: 0.31304393625062915
Epoch: 11
Training loss: 0.16691500306129456 - MAE: 0.3078508740458523
Validation loss : 0.16393668784035575 - MAE: 0.31154094680405375
Epoch: 12
Training loss: 0.1637336140871048 - MAE: 0.30385438993037184
Validation loss : 0.16229701538880667 - MAE: 0.30975237715702897
Epoch: 13
Training loss: 0.1618727833032608 - MAE: 0.3037893453784594
Validation loss : 0.16030184262328678 - MAE: 0.30714003484399144
Epoch: 14
Training loss: 0.16216390013694762 - MAE: 0.30370377205429017
Validation loss : 0.1587020523018307 - MAE: 0.30477575013081115
Epoch: 15
Training loss: 0.16157052159309387 - MAE: 0.30328576923920736
Validation loss : 0.15763747692108154 - MAE: 0.30343286374299505
Epoch: 16
Training loss: 0.1586935031414032 - MAE: 0.2999908923261831
Validation loss : 0.1570943941672643 - MAE: 0.30202990273409386
Epoch: 17
Training loss: 0.15946080952882766 - MAE: 0.30086799079545556
Validation loss : 0.15687472952736747 - MAE: 0.3010396265266053
Epoch: 18
Training loss: 0.15581952095031737 - MAE: 0.2973425589462948
Validation loss : 0.15603283047676086 - MAE: 0.30100286245604474
Epoch: 19
Training loss: 0.15706016898155212 - MAE: 0.2994781823556224
Validation loss : 0.15608555575211844 - MAE: 0.3011623471741622
Epoch: 20
Training loss: 0.15702145874500276 - MAE: 0.2992172543463727
Validation loss : 0.15507571233643425 - MAE: 0.2998725774790534
Epoch: 21
Training loss: 0.15234391868114472 - MAE: 0.29315056716991045
Validation loss : 0.15489690999190012 - MAE: 0.29869079940078813
Epoch: 22
Training loss: 0.153500095307827 - MAE: 0.29595609632775555
Validation loss : 0.15607044597466788 - MAE: 0.2988202550812423
Epoch: 23
Training loss: 0.1513380992412567 - MAE: 0.2943754520786924
Validation loss : 0.15447033445040384 - MAE: 0.29746065098913443
Epoch: 24
Training loss: 0.15459679573774338 - MAE: 0.29592691579298513
Validation loss : 0.1555763234694799 - MAE: 0.298155070237502
Epoch: 25
Training loss: 0.15357773929834365 - MAE: 0.29463498551553785
Validation loss : 0.15434908039040035 - MAE: 0.296779802279584
Epoch: 26
Training loss: 0.15193950653076171 - MAE: 0.2929094511418085
Validation loss : 0.15472973386446634 - MAE: 0.297041940424016
Epoch: 27
Training loss: 0.14988958299160005 - MAE: 0.2907063248230569
Validation loss : 0.15451522833771175 - MAE: 0.296753490150844
Epoch: 28
Training loss: 0.14868980169296264 - MAE: 0.2905774044498363
Validation loss : 0.15495293007956612 - MAE: 0.29671816700314196
Epoch: 29
Training loss: 0.14911701917648315 - MAE: 0.291043525490923
Validation loss : 0.1539731505844328 - MAE: 0.2962250893489616
Epoch: 30
Training loss: 0.14840928822755814 - MAE: 0.2890564332454089
Validation loss : 0.15275834004084268 - MAE: 0.2948753151385498
Epoch: 31
Training loss: 0.14957802176475524 - MAE: 0.29158753859072684
Validation loss : 0.15248832437727186 - MAE: 0.2945174624093477
Epoch: 32
Training loss: 0.14791583985090256 - MAE: 0.2893084436643383
Validation loss : 0.1533537225590812 - MAE: 0.2949986783073459
Epoch: 33
Training loss: 0.14560300946235658 - MAE: 0.2858321345533598
Validation loss : 0.15212008191479576 - MAE: 0.29482186719858317
Epoch: 34
Training loss: 0.14594467222690582 - MAE: 0.287395423738191
Validation loss : 0.15084035694599152 - MAE: 0.29385165213603787
Epoch: 35
Training loss: 0.14488964945077895 - MAE: 0.28725285494385316
Validation loss : 0.15170368717776406 - MAE: 0.2937092830931375
Epoch: 36
Training loss: 0.14538963675498962 - MAE: 0.2875635085805623
Validation loss : 0.1512376070022583 - MAE: 0.29337359125270523
Epoch: 37
Training loss: 0.14656995385885238 - MAE: 0.288569428258896
Validation loss : 0.15030282073550755 - MAE: 0.29340269611268527
Epoch: 38
Training loss: 0.14393528878688813 - MAE: 0.28581163882950444
Validation loss : 0.1508176392979092 - MAE: 0.29383170525444896
Epoch: 39
Training loss: 0.14609216690063476 - MAE: 0.2869728256883763
Validation loss : 0.15105363726615906 - MAE: 0.2936619105921657
Stopped after 39 epochs.
Prediction MAE: 0.2771
Finished at: 12:33:08
Time taken: 8691 s.
0 days 2 hours 24 minutes 51 seconds

 
 

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Started at: 15:24:12
({'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'}, {})