File size: 4,558 Bytes
c9a16c9 a45f1ab 60c04ea 6b95f88 bcd2bae 603d241 3fe10e1 9512e59 8f0c868 45f8f55 4c9c30f 0987dd4 1de3ec9 6d37b16 19ce39c ec06058 b35f200 7127cfe 5b89c81 ce35c81 802d2e3 d4e1e09 9eea91a af3bad4 ab43f09 1c1c715 7dfd04f ea7074c 6200300 28e110f c9b72e4 2878c2d a78d5b2 91273d1 e2567d8 1cd7e44 6d686e2 5908cc1 f261c12 2b961a5 cae9ab9 b77aca7 6243913 aacdcd5 83318b1 6cce714 6ed416b 2c98c5c aa3bd50 d915ac9 4747d28 5cf3c1a cec557a 219898a 18f784a 091b700 29bba41 310780d 1fe92ac 245c177 a5094b2 fceacad f1d771b 64a9c23 293014d 23bc226 6635f74 0eeddc6 917ec6d 11d3690 0030aa3 26e215b e2c995b f7f2939 9327768 dae21eb b1c8ea5 60f044b dfe0403 f3d4d27 1be3650 29c9e85 f990553 c4ef461 ca5725c 6da4341 0063379 c5593fb 1f04246 432d394 875c1bd 9f606e8 81c2a0e ee4a7fb |
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 |
Started at: 12:43:11
({'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': 32922, '_commit_hash': '44815f7e109b53547cccdf3c6847f4c28b989816'}, {})
Epoch: 0
Training loss: 0.2008972004489991 - MSE: 0.33518312736635436
Validation loss : 0.1646703563630581 - MSE: 0.3085779357984263
Epoch: 1
Training loss: 0.1659574282256145 - MSE: 0.3064189085675543
Validation loss : 0.157762396974223 - MSE: 0.28898105177130284
Epoch: 2
Training loss: 0.16920435048856783 - MSE: 0.3099259860789372
Validation loss : 0.2597339808940887 - MSE: 0.41778062962694096
Epoch: 3
Training loss: 0.18403085151198997 - MSE: 0.3220045950051232
Validation loss : 0.2158472946711949 - MSE: 0.37326406195393896
Epoch: 4
Training loss: 0.18172540587996974 - MSE: 0.32080418783672165
Validation loss : 0.180368021769183 - MSE: 0.33231508495186324
Epoch: 5
Training loss: 0.17783939802241558 - MSE: 0.31700912658652863
Validation loss : 0.17726878098079135 - MSE: 0.33020463892025875
Epoch: 6
Training loss: 0.17681393569823609 - MSE: 0.3154852375991437
Validation loss : 0.17508771706904683 - MSE: 0.32495340255388455
Epoch: 7
Training loss: 0.18098733559684846 - MSE: 0.3195274022724451
Validation loss : 0.17311148579631533 - MSE: 0.3220135453306804
Epoch: 8
Training loss: 0.18061703660534423 - MSE: 0.3191405354137568
Validation loss : 0.17032980706010545 - MSE: 0.3176248594869061
Epoch: 9
Training loss: 0.18142556370172686 - MSE: 0.319926894033844
Validation loss : 0.1691651236798082 - MSE: 0.31562867300485126
Epoch: 10
Training loss: 0.18212312047631996 - MSE: 0.32070363034661087
Validation loss : 0.16798930146864482 - MSE: 0.31360456355614585
Epoch: 11
Training loss: 0.18196018481428183 - MSE: 0.3207149931643255
Validation loss : 0.16837686087403977 - MSE: 0.31434407412639953
Epoch: 12
Training loss: 0.1814197617248424 - MSE: 0.3202695122298144
Validation loss : 0.16799633439098086 - MSE: 0.3135975342526633
Epoch: 13
Training loss: 0.18225394370197093 - MSE: 0.3212486534658962
Validation loss : 0.16925174317189626 - MSE: 0.3159311910575655
Epoch: 14
Training loss: 0.18245843891958588 - MSE: 0.3215480212902345
Validation loss : 0.16824361362627574 - MSE: 0.31412619200834474
Epoch: 15
Training loss: 0.1803396447624975 - MSE: 0.3195030057718649
Validation loss : 0.1688083845589842 - MSE: 0.3150487916560711
Epoch: 16
Training loss: 0.17986665409311509 - MSE: 0.3195031756770499
Validation loss : 0.22056829929351807 - MSE: 0.37911737345857544
Epoch: 17
Training loss: 0.18849548813208794 - MSE: 0.3279959400740679
Validation loss : 0.1744179646883692 - MSE: 0.32440157115093565
Epoch: 18
Training loss: 0.18259398508997796 - MSE: 0.32226052051809423
Validation loss : 0.17137913001435143 - MSE: 0.32016465139874656
Epoch: 19
Training loss: 0.17060092156662524 - MSE: 0.3103650882393749
Validation loss : 0.16893972903490068 - MSE: 0.3152596680996274
Epoch: 20
Training loss: 0.18305443567269056 - MSE: 0.32248776308938315
Validation loss : 0.16867054679564067 - MSE: 0.3147993311036511
Epoch: 21
Training loss: 0.18154647418306868 - MSE: 0.3211529577614463
Validation loss : 0.16895278968981334 - MSE: 0.31527812329420285
Epoch: 22
Training loss: 0.18302884618344817 - MSE: 0.32261301473818527
Validation loss : 0.16908632452998842 - MSE: 0.31549884642507614
Epoch: 23
Training loss: 0.18315604886094344 - MSE: 0.3228350356322461
Validation loss : 0.16936154067516326 - MSE: 0.31595188302287297
Epoch: 24
Training loss: 0.18450002827979986 - MSE: 0.3239839581523096
Validation loss : 0.16373934490340097 - MSE: 0.305049752951267
Epoch: 25
Training loss: 0.18205712786287936 - MSE: 0.32188173152184024
Validation loss : 0.16982759663036892 - MSE: 0.31673403784266807
Epoch: 26
Training loss: 0.18361150451655528 - MSE: 0.32347288576566585
Validation loss : 0.17002783162253243 - MSE: 0.31706197823431076
Epoch: 27
Training loss: 0.1837405093665262 - MSE: 0.3236623950004521
Validation loss : 0.1702466935983726 - MSE: 0.3174226579672125
Epoch: 28
Training loss: 0.18387084331327272 - MSE: 0.32384873795983415
Validation loss : 0.1704471853162561 - MSE: 0.3177521555301999
Epoch: 29
Training loss: 0.18399080008413027 - MSE: 0.32403765795752404
Validation loss : 0.17062974699905942 - MSE: 0.3180521837053155
Epoch: 30
Training loss: 0.18410175344319019 - MSE: 0.32420901859116386
|