home-standard-results
/
04-05-2023_norbert2_batchsize_256_all_units_0.001_1_150_freeze_True_earlystop_3.txt
Started at: 20:50:40 | |
({'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: 0.32175946950912476 - MAE: 0.4437903503551826 | |
Validation loss : 0.19621961481041378 - MAE: 0.3388283822410594 | |
Epoch: 1 | |
Training loss: 0.21072698533535003 - MAE: 0.35116530289867337 | |
Validation loss : 0.1876767095592287 - MAE: 0.33628140968919695 | |
Epoch: 2 | |
Training loss: 0.1893942326307297 - MAE: 0.3312522516218666 | |
Validation loss : 0.1748287214173211 - MAE: 0.3213797447248068 | |
Epoch: 3 | |
Training loss: 0.17969159841537474 - MAE: 0.3215382240664255 | |
Validation loss : 0.1697687026527193 - MAE: 0.31446870224950263 | |
Epoch: 4 | |
Training loss: 0.17220519423484804 - MAE: 0.3129526796594085 | |
Validation loss : 0.16811848680178323 - MAE: 0.3117262145282266 | |
Epoch: 5 | |
Training loss: 0.17296144247055054 - MAE: 0.31494873624825814 | |
Validation loss : 0.16849000917540657 - MAE: 0.31104514179599985 | |
Epoch: 6 | |
Training loss: 0.16641035348176955 - MAE: 0.30768475494362546 | |
Validation loss : 0.16421516074074638 - MAE: 0.30715220958263423 | |
Epoch: 7 | |
Training loss: 0.16057054400444032 - MAE: 0.30329494898002457 | |
Validation loss : 0.161027698053254 - MAE: 0.304297376785587 | |
Epoch: 8 | |
Training loss: 0.1566170272231102 - MAE: 0.29957014870206655 | |
Validation loss : 0.15982638630602095 - MAE: 0.30397747682822174 | |
Epoch: 9 | |
Training loss: 0.15673983812332154 - MAE: 0.3000540458404174 | |
Validation loss : 0.159184659520785 - MAE: 0.3035235378542429 | |
Epoch: 10 | |
Training loss: 0.15630604147911073 - MAE: 0.29690365842430627 | |
Validation loss : 0.15921704471111298 - MAE: 0.30240467396157955 | |
Epoch: 11 | |
Training loss: 0.15595020622015 - MAE: 0.29754135005638765 | |
Validation loss : 0.15686986181471083 - MAE: 0.30119996351152656 | |
Epoch: 12 | |
Training loss: 0.15274528950452804 - MAE: 0.2944161972508913 | |
Validation loss : 0.15652166141404045 - MAE: 0.3012713923501961 | |
Epoch: 13 | |
Training loss: 0.15205995708703995 - MAE: 0.29424324063629004 | |
Validation loss : 0.1575678288936615 - MAE: 0.3004794443503115 | |
Epoch: 14 | |
Training loss: 0.15087180227041244 - MAE: 0.292504579327589 | |
Validation loss : 0.15574459234873453 - MAE: 0.29932356111019714 | |
Epoch: 15 | |
Training loss: 0.1518820345401764 - MAE: 0.2940904971897683 | |
Validation loss : 0.15581322544150883 - MAE: 0.30048684662514935 | |
Epoch: 16 | |
Training loss: 0.14916340589523316 - MAE: 0.2900369708605816 | |
Validation loss : 0.15502946575482687 - MAE: 0.2986623058669649 | |
Epoch: 17 | |
Training loss: 0.14969733864068985 - MAE: 0.2916869417468108 | |
Validation loss : 0.15631223718325296 - MAE: 0.2994015598567933 | |
Epoch: 18 | |
Training loss: 0.14621972769498826 - MAE: 0.2875086269286061 | |
Validation loss : 0.1557358337773217 - MAE: 0.29931970436403404 | |
Epoch: 19 | |
Training loss: 0.14798570185899734 - MAE: 0.29024787778757843 | |
Validation loss : 0.15424930387073094 - MAE: 0.2984811820958494 | |
Epoch: 20 | |
Training loss: 0.14769238144159316 - MAE: 0.2896109423923894 | |
Validation loss : 0.1536422868569692 - MAE: 0.2987445844262027 | |
Epoch: 21 | |
Training loss: 0.14361368536949157 - MAE: 0.2842206176667335 | |
Validation loss : 0.1533755792511834 - MAE: 0.29642898867488277 | |
Epoch: 22 | |
Training loss: 0.14456430345773696 - MAE: 0.2860957867005398 | |
Validation loss : 0.1542035871081882 - MAE: 0.2971775973100257 | |
Epoch: 23 | |
Training loss: 0.1426533755660057 - MAE: 0.28512021628758083 | |
Validation loss : 0.15245803362793392 - MAE: 0.2961228783995986 | |
Epoch: 24 | |
Training loss: 0.14542177826166153 - MAE: 0.2855342243309425 | |
Validation loss : 0.15294104317824045 - MAE: 0.29643245601047447 | |
Epoch: 25 | |
Training loss: 0.14522234290838243 - MAE: 0.2851345876886818 | |
Validation loss : 0.15342944694889915 - MAE: 0.2958033843008907 | |
Epoch: 26 | |
Training loss: 0.14386597275733948 - MAE: 0.2838243646140143 | |
Validation loss : 0.1515038808186849 - MAE: 0.2936464496284943 | |
Epoch: 27 | |
Training loss: 0.1415349954366684 - MAE: 0.2810586437104536 | |
Validation loss : 0.1507236527072059 - MAE: 0.29409404478735646 | |
Epoch: 28 | |
Training loss: 0.14115683376789093 - MAE: 0.2815221038197439 | |
Validation loss : 0.15061336921321022 - MAE: 0.29280129784932213 | |
Epoch: 29 | |
Training loss: 0.14186541587114335 - MAE: 0.28239653007887255 | |
Validation loss : 0.15151139597098032 - MAE: 0.2953867482779256 | |
Epoch: 30 | |
Training loss: 0.14276256740093232 - MAE: 0.283208699006944 | |
Validation loss : 0.1504600097735723 - MAE: 0.29276670315056585 | |
Epoch: 31 | |
Training loss: 0.14241950929164887 - MAE: 0.28277882078383293 | |
Validation loss : 0.1505332812666893 - MAE: 0.29293145394981956 | |
Epoch: 32 | |
Training loss: 0.14204519629478454 - MAE: 0.28192363607736504 | |
Validation loss : 0.15044088496102226 - MAE: 0.2929076596067834 | |
Epoch: 33 | |
Training loss: 0.13920597046613692 - MAE: 0.2793298976614221 | |
Validation loss : 0.15006180769867367 - MAE: 0.29292432343849906 | |
Stopped after 33 epochs. | |
Prediction MAE: 0.2764 | |