File size: 5,976 Bytes
a9614e2 1c266c2 573d184 138c452 085fc0e a8e4a32 60030c6 43aca8f bced6f4 3c0ba3e 05cb146 2755fdc 6d43361 9ba6b1c bc4b6fa fd66402 8ac5557 0a5b886 7582378 7943a4b 1d207e4 fc0b9fb 778b2ee d8f234d b8f30b4 07d6b01 b1e9821 5d63be6 c240e23 7fd6a30 753d906 7988c17 f9cc4b4 2563dd5 3b32d9d 78c220f 13dd3c9 3645ffc a67ad3c 1791d1d 417295b 9d01042 4692ce2 ee702fe 9ad9b31 8a55390 af3dc92 255d975 b5c59b2 6291ba6 910096e f1cb193 5ecc42f f52fd05 4aa4325 5b2f689 0ca188f 90fba87 3b6adf1 d7b4484 b3d9166 822020b 5f1eb05 5a03441 36bc79e ff030dd 927b3c1 64f46f0 749183e 2c6fb37 bff4a2d 46697fc 0413f7a 5ee6dd5 419fd28 eb700da 64c500b d0056fd 66982b8 1d41cd7 1c356ba d930327 fcc9b1f 1399e97 04ba03c ed8b3f4 025040b 13b93d7 d26ef5a a37fc5f cf6faf1 86a6afb 40f3e9f 7cbbdc1 f5369b2 63b151c eaadc50 6354a95 0d8ed18 8182faf f9e751c cb1f440 8a3fa68 21062cf 7ce2a2c 1f989a1 3d97e81 23665ab 57ada11 4a041ea 91a97e6 f4e0960 42a05eb 214e4e3 a4c8ea3 1d48055 55af590 864f0d5 d12921d b7fd40a e4b2e16 35063ea c287647 9cc161b 16df9c1 8c239b2 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 |
Started at: 21:34:05
({'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
Epoch: 34
Training loss: 0.1410813584923744 - MAE: 0.2815379053911258
Validation loss : 0.14930015967951882 - MAE: 0.2933547268525188
Epoch: 35
Training loss: 0.14150760889053346 - MAE: 0.2832031330097777
Validation loss : 0.15295125875208113 - MAE: 0.2936935655701593
Epoch: 36
Training loss: 0.1405733221769333 - MAE: 0.2821643593441243
Validation loss : 0.14867112785577774 - MAE: 0.2921335742814868
Epoch: 37
Training loss: 0.14206359952688216 - MAE: 0.28261241361934286
Validation loss : 0.14988169405195448 - MAE: 0.2927604772074144
Epoch: 38
Training loss: 0.14064243495464324 - MAE: 0.28185439579063915
Validation loss : 0.1515509072277281 - MAE: 0.29319069832718325
Epoch: 39
Training loss: 0.14297345608472825 - MAE: 0.282847817609895
Validation loss : 0.15042786465750801 - MAE: 0.29282722784595605
Epoch: 40
Training loss: 0.13990240722894667 - MAE: 0.27964537481988466
Validation loss : 0.14972211172183356 - MAE: 0.29260355981671565
Epoch: 41
|