home-standard-results / 05-05-2023_norbert2_batchsize_256_all_units_0.0005_1_200_freeze_True_earlystop_3.txt
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({'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