Started at: 10:28:59
norbert, lr: 0.0005, bs: 128, ml: 512, oversample: True, frozen: True
({'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: 0.5474709353663705 - MAE: 0.5900718832469579
Validation loss : 0.3975696893962654 - MAE: 0.5077667229703434
Epoch: 1
Training loss: 0.3858125217936256 - MAE: 0.4986324394793062
Validation loss : 0.3667544569518115 - MAE: 0.482246268008046
Epoch: 2
Training loss: 0.36537060791795906 - MAE: 0.4824265926142948
Validation loss : 0.35301732372593236 - MAE: 0.47073127836812234
Epoch: 3
Training loss: 0.35378617481751873 - MAE: 0.4737870529422116
Validation loss : 0.3432318809870127 - MAE: 0.4630917172957513
Epoch: 4
Training loss: 0.34562364654107525 - MAE: 0.4671846467624914
Validation loss : 0.3360972178948892 - MAE: 0.4578467580637334
Epoch: 5
Training loss: 0.34099755598740145 - MAE: 0.46506329563394005
Validation loss : 0.33305841201060526 - MAE: 0.4550205160383188
Epoch: 6
Training loss: 0.33549089919437064 - MAE: 0.45988426559688494
Validation loss : 0.32705698222727386 - MAE: 0.45137572711731144
Epoch: 7
Training loss: 0.33034171164035797 - MAE: 0.4562066604592301
Validation loss : 0.32257608626339884 - MAE: 0.4478843028231632
Epoch: 8
Training loss: 0.32764916826378215 - MAE: 0.45407177982423313
Validation loss : 0.31829442849030365 - MAE: 0.4456899946875793
Epoch: 9
Training loss: 0.32817742445252157 - MAE: 0.4535115894624534
Validation loss : 0.3146412018183115 - MAE: 0.4434792121537539
Epoch: 10
Training loss: 0.3238557942888953 - MAE: 0.45152478313241395
Validation loss : 0.31213215879491857 - MAE: 0.4413900558031203
Epoch: 11
Training loss: 0.3201356159015135 - MAE: 0.44856331131575006
Validation loss : 0.310855512683456 - MAE: 0.4403171216889173
Epoch: 12
Training loss: 0.3234574454751882 - MAE: 0.4509541958789688
Validation loss : 0.309375981624062 - MAE: 0.4396080555552377
Epoch: 13
Training loss: 0.31835763305425646 - MAE: 0.44638152149399546
Validation loss : 0.30611808678588354 - MAE: 0.43832580394348114
Epoch: 14
Training loss: 0.3158693106337027 - MAE: 0.44678859955016065
Validation loss : 0.3040122353547328 - MAE: 0.4369072234530497
Epoch: 15
Training loss: 0.3157148630781607 - MAE: 0.4464642437497678
Validation loss : 0.3044232351554407 - MAE: 0.4363399582452833
Epoch: 16
Training loss: 0.3163840314204043 - MAE: 0.4460831709787618
Validation loss : 0.30293904687907247 - MAE: 0.4353190726666535
Epoch: 17
Training loss: 0.3132088063792749 - MAE: 0.44469758632876605
Validation loss : 0.30206634426439133 - MAE: 0.4341864746339031
Epoch: 18
Training loss: 0.3158950824629177 - MAE: 0.4462852090206161
Validation loss : 0.29990197355682785 - MAE: 0.43375448437821906
Epoch: 19
Training loss: 0.31697546311400154 - MAE: 0.44707657889454633
Validation loss : 0.29999372725551193 - MAE: 0.4333450350832339
Prediction MAE: 0.4294
Finished at: 10:28:59
Time taken: 14229 s.
0 days 3 hours 57 minutes 9 seconds

 
 

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Started at: 23:41:57
norbert, lr: 0.0005, bs: 128, ml: 512, oversample: True, frozen: True
({'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'}, {})
Started at: 00:36:05
norbert, lr: 0.0005, bs: 128, ml: 512, oversample: True, frozen: True
({'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'}, {})
Started at: 02:24:45
norbert, lr: 0.0005, bs: 128, ml: 512, oversample: True, frozen: True
({'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'}, {})
Started at: 02:25:39
norbert, lr: 0.0005, bs: 128, ml: 512, oversample: True, frozen: True
({'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
Started at: 02:27:04
norbert, lr: 0.0005, bs: 128, ml: 512, oversample: True, frozen: True
({'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'}, {})
Training loss: 0.54782499183308 - MAE: 0.5898898718199055
Validation loss : 0.39786955150398046 - MAE: 0.5080485559180403
Epoch: 1
Training loss: 0.38730629221959545 - MAE: 0.49986447798945194
Validation loss : 0.36670235282665975 - MAE: 0.4823170798874106
Epoch: 2
Training loss: 0.36611060229214754 - MAE: 0.48307212067193234
Validation loss : 0.3527441612772039 - MAE: 0.4703382047917389
Epoch: 3
Training loss: 0.354955809766596 - MAE: 0.4756456691695918
Validation loss : 0.3441770197571935 - MAE: 0.4636772498361552
Epoch: 4
Training loss: 0.34768922247669914 - MAE: 0.46902961193080006
Validation loss : 0.3356706314795726 - MAE: 0.45777830680027165
Epoch: 5
Training loss: 0.33992426097393036 - MAE: 0.46397007056364786
Validation loss : 0.33090642577893026 - MAE: 0.45394625396183774
Epoch: 6
Training loss: 0.3344964799555865 - MAE: 0.46007466873824066
Validation loss : 0.3264026649900385 - MAE: 0.4506618843237606
Epoch: 7
Training loss: 0.33097381645982915 - MAE: 0.4561861335747015
Validation loss : 0.3246151788814648 - MAE: 0.44884783929622574
Epoch: 8
Started at: 04:13:02
norbert, lr: 0.0005, bs: 128, ml: 512, oversample: True, frozen: True
({'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'}, {})
Training loss: 0.3300523194399747 - MAE: 0.45655058580016206
Validation loss : 0.3178289750137845 - MAE: 0.4454528824196812
Epoch: 9
Epoch: 0
Training loss: 0.32652513709935277 - MAE: 0.4522554452635438
Validation loss : 0.3161040568673933 - MAE: 0.44390705953042703
Epoch: 10
Training loss: 0.5483380111781033 - MAE: 0.5906094769019136
Validation loss : 0.3977290271101771 - MAE: 0.5082303635873843
Epoch: 1
Training loss: 0.3212204188108444 - MAE: 0.4494432454117457
Validation loss : 0.31289187637535304 - MAE: 0.4415408729892764
Epoch: 11
Training loss: 0.38656695756045256 - MAE: 0.5002126576066078
Validation loss : 0.36652299761772156 - MAE: 0.4830237671444127
Epoch: 2
Training loss: 0.31896387474103405 - MAE: 0.44727442415951263
Validation loss : 0.31108542833779307 - MAE: 0.44034566680312875
Epoch: 12
Training loss: 0.3656289100646973 - MAE: 0.4823639455096247
Validation loss : 0.3527674151433481 - MAE: 0.470507436686348
Epoch: 3
Training loss: 0.3193328153003346 - MAE: 0.44764727032581675
Validation loss : 0.30788037785001704 - MAE: 0.4388008639351357
Epoch: 13
Training loss: 0.3554222350770777 - MAE: 0.47479165057120787
Validation loss : 0.3429968195992547 - MAE: 0.463445040820177
Epoch: 4
Training loss: 0.31891104687343946 - MAE: 0.44716249013361953
Validation loss : 0.3068327456712723 - MAE: 0.4379276618387488
Epoch: 14
Training loss: 0.34880310676314613 - MAE: 0.4689698307772892
Validation loss : 0.33599291379387314 - MAE: 0.45792121514462714
Epoch: 5
Training loss: 0.31900947039777583 - MAE: 0.4481658492140314
Validation loss : 0.30459664641199885 - MAE: 0.4370667111501383
Epoch: 15
Training loss: 0.3166340202093124 - MAE: 0.44664302001697553
Validation loss : 0.30311686082466227 - MAE: 0.4359708303295008
Epoch: 16
Training loss: 0.3192119606516578 - MAE: 0.4467969098682216
Validation loss : 0.30420858553937963 - MAE: 0.4357857011838843
Epoch: 17
Training loss: 0.31639296168630776 - MAE: 0.4458495146613001
Validation loss : 0.3025329636560904 - MAE: 0.4347766565203313
Epoch: 18
Training loss: 0.3106541376222264 - MAE: 0.4419735440433146
Validation loss : 0.2999367649490769 - MAE: 0.4335704732145797
Epoch: 19
Training loss: 0.31396088302135466 - MAE: 0.4441402956337972
Validation loss : 0.29934469630589355 - MAE: 0.4331490719172653
Prediction MAE: 0.4291
Finished at: 02:25:39
Time taken: 18026 s.
0 days 5 hours 0 minutes 26 seconds

 
 

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Started at: 10:07:45
norbert, lr: 0.0005, bs: 128, ml: 512, oversample: True, frozen: True
({'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'}, {})