Started at: 04:40:02
norbert, 0.001, 256
({'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: 0.490340878367424 - MAE: 0.5502402056555946
Validation loss : 0.2153187460369534 - MAE: 0.34847071386417267
Epoch: 1
Training loss: 0.20058341324329376 - MAE: 0.3423091295468801
Validation loss : 0.17609875235292646 - MAE: 0.3207490493525149
Epoch: 2
Training loss: 0.17480310261249543 - MAE: 0.31785240619760485
Validation loss : 0.17104972898960114 - MAE: 0.31704982503328616
Epoch: 3
Training loss: 0.16844426095485687 - MAE: 0.31094802683732065
Validation loss : 0.16871228482988146 - MAE: 0.3151468612097043
Epoch: 4
Training loss: 0.16473501205444335 - MAE: 0.3070631323882683
Validation loss : 0.16664770245552063 - MAE: 0.3130509722987033
Epoch: 5
Training loss: 0.16249913841485977 - MAE: 0.30390396654148055
Validation loss : 0.16460454960664114 - MAE: 0.3108272246604274
Epoch: 6
Training loss: 0.16045642793178558 - MAE: 0.3025153689886295
Validation loss : 0.16342525018586052 - MAE: 0.30940071952857345
Epoch: 7
Training loss: 0.15999574840068817 - MAE: 0.3011067249123912
Validation loss : 0.16275884045494926 - MAE: 0.3085626349629923
Epoch: 8
Training loss: 0.15708923935890198 - MAE: 0.29919283959579873
Validation loss : 0.1618599063820309 - MAE: 0.3077045065004142
Epoch: 9
Training loss: 0.1566512778401375 - MAE: 0.29883795388199974
Validation loss : 0.16123364369074503 - MAE: 0.3070243111305445
Epoch: 10
Training loss: 0.1565144717693329 - MAE: 0.2992467122905806
Validation loss : 0.1607403705517451 - MAE: 0.3066506261102796
Epoch: 11
Training loss: 0.15441132932901383 - MAE: 0.2968694001405616
Validation loss : 0.1615937219725715 - MAE: 0.30805963680583925
Epoch: 12
Training loss: 0.15473220765590667 - MAE: 0.2973775166487022
Validation loss : 0.1601952744854821 - MAE: 0.30593868950315056
Epoch: 13
Training loss: 0.15416186094284057 - MAE: 0.2955810503214238
Validation loss : 0.1606642852226893 - MAE: 0.30693562115452544
Epoch: 14
Training loss: 0.1523517221212387 - MAE: 0.29359860648947156
Validation loss : 0.15979144473870596 - MAE: 0.3059113352899167
Epoch: 15
Training loss: 0.15219720542430878 - MAE: 0.29356666946971216
Validation loss : 0.15870776772499084 - MAE: 0.30447905617139626
Epoch: 16
Training loss: 0.15407244622707367 - MAE: 0.2968844009018846
Validation loss : 0.15995393693447113 - MAE: 0.305935636680547
Epoch: 17
Training loss: 0.15287074476480483 - MAE: 0.2946156906987487
Validation loss : 0.1583722018533283 - MAE: 0.30404090762595287
Epoch: 18
Training loss: 0.15273998081684112 - MAE: 0.2950003350810963
Validation loss : 0.15665675865279305 - MAE: 0.3017202135107541
Epoch: 19
Training loss: 0.15298960745334625 - MAE: 0.2960549188953621
Validation loss : 0.15730214615662894 - MAE: 0.3030118884252304
Prediction MAE: 0.2911
Finished at: 04:40:02
Time taken: 6378 s.
0 days 1 hours 46 minutes 18 seconds

 
 

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