File size: 4,341 Bytes
a741f4f be1077a b641d4f 0a8d293 e375144 1ab0532 8259360 d264ca4 cd0d232 909ec64 385c96a a30d15a 3556c8f 3ff2de1 6debf4b ba3d793 a855490 6c68b41 5840f7e 91a22f0 ddb745a ac701a7 2b25431 fd5f508 6d15571 0ec4d9c 3f6fc55 78b425b 364171e 0692593 963991e 3bd18fa 51c0c7b 1f6e66c 3886e4b c3b01c1 06a1a2e cda2019 ed75110 fe4972f 03c0d40 9449b45 42f9e3c 93984dd b38fc72 4fca085 7a3826d 5c7ef44 5f16d67 d363931 757be37 003a02e 2fb2038 2fbe0d2 a996bb0 df6f88e 72350a3 435fd30 db90c29 e21f216 93d88e6 c2a1da3 487a55a 9b4cd78 4164b2a 8ab2103 f895007 6683d25 0a06df6 e93db0b fae3790 7f66aa5 a3d562b 6bb44ee 9cebb4e 3fc24f1 3c89ad5 d411120 16a6d03 d8b7e83 dac0391 424ac28 c4ecf52 65030f6 1f72881 1148b31 1b2ab9d 3b475d0 d19a042 |
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 |
Started at: 12:15:30 ({'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 |