File size: 3,531 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 |
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 |
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
|