File size: 5,607 Bytes
e9d5dbe 49f2afa fdf4f7f bf22c0c d329034 354a495 e8439f0 53b5f45 e426a9f 344e3fb 190241b 1a0c460 8551b5e aade771 d373200 ff1c420 0aeb5a0 f4988ff 8bd9718 07d23be 140c978 9c5d4fd 94b6be9 4e243d1 dcb7131 206cd86 f587263 e6af039 d3fa77d dd67507 4c3d07d be34b56 720d3e1 f582c73 aa74ea2 9d33f9b aa384f3 c6127e2 edd70f4 0e98a6d 172dc16 a20ecc4 a8c1b3e 12acaa8 bc2969e e70e8fc 776e2b7 1174500 8bffb6f 5c8d8be 8140095 3e99bf8 fa3127d 65077cd 0e3b356 1c87f10 7bcce7d f913b67 2909641 350a5f5 bb943e3 8d247e3 5d14777 6d93710 533cf1d 0afc46b 9ea391f 29ea88c 47cadc8 9b84e12 76825cb 1108b96 55e008b 000c794 cbae7e5 7f5c908 eade404 be322fe ae8fb9b 692d2b6 9c7a8d6 20e131c 14622b0 51fa2a0 ad3e429 7be449d 33653f4 50c4993 2dd3e37 6867e8a 5159496 37135a5 82f7dae d9d3b90 4e6ff2e 4e09b9b 665b367 a64516e f3358e8 3a2e1fa d3f119f dfdea1a 378f93f a5ea665 1766f4e 5fbf55b 29f6f16 bdf563b dfdcb70 89d28ce dff4af4 fe3d1be 6d9ff60 dbf13a2 4ccd2ee f61a828 8bccf9d f7a6a8f |
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 |
Started at: 14:58:07 ({'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: 0.7675554938614368 - MAE: 0.7218268842869793 Validation loss : 0.5840958555539449 - MAE: 0.5827894046582064 Epoch: 1 Training loss: 0.49415092915296555 - MAE: 0.5986839248419658 Validation loss : 0.4720619022846222 - MAE: 0.585200722348146 Epoch: 2 Training loss: 0.4484046511352062 - MAE: 0.554433520788571 Validation loss : 0.4777786135673523 - MAE: 0.5403046027523047 Epoch: 3 Training loss: 0.415366031229496 - MAE: 0.5435317536295668 Validation loss : 0.42990968624750775 - MAE: 0.5419536063906305 Epoch: 4 Training loss: 0.39412142150104046 - MAE: 0.5245434911285064 Validation loss : 0.4350344041983287 - MAE: 0.5241025617347218 Epoch: 5 Training loss: 0.38853260688483715 - MAE: 0.5237674086717746 Validation loss : 0.4117620090643565 - MAE: 0.5211508578778722 Epoch: 6 Training loss: 0.3667535427957773 - MAE: 0.5072329589138348 Validation loss : 0.40754977862040204 - MAE: 0.5151992849713838 Epoch: 7 Training loss: 0.3623247407376766 - MAE: 0.5045013681358567 Validation loss : 0.4099322458108266 - MAE: 0.5114030400583374 Epoch: 8 Training loss: 0.3549719639122486 - MAE: 0.4960748857304838 Validation loss : 0.3965168197949727 - MAE: 0.5095656718918984 Epoch: 9 Training loss: 0.35677218809723854 - MAE: 0.4991656174770718 Validation loss : 0.3989155093828837 - MAE: 0.504121969526425 Epoch: 10 Training loss: 0.35797534696757793 - MAE: 0.4965052647383213 Validation loss : 0.3919292589028676 - MAE: 0.5021860128100027 Epoch: 11 Training loss: 0.3498771656304598 - MAE: 0.4923322100425394 Validation loss : 0.3922814130783081 - MAE: 0.49962354808867465 Epoch: 12 Training loss: 0.35045805759727955 - MAE: 0.49545303288574233 Validation loss : 0.38426289955774945 - MAE: 0.4981140455265725 Epoch: 13 Training loss: 0.34572333469986916 - MAE: 0.4875545829879762 Validation loss : 0.3801858226458232 - MAE: 0.49636689515641264 Epoch: 14 Training loss: 0.33835710026323795 - MAE: 0.4836895945561605 Validation loss : 0.3836107651392619 - MAE: 0.49250687287180367 Epoch: 15 Training loss: 0.3261668477207422 - MAE: 0.47392514293900473 Validation loss : 0.37519946694374084 - MAE: 0.49084831912535476 Epoch: 16 Training loss: 0.3351526018232107 - MAE: 0.4787258875098658 Validation loss : 0.37367749214172363 - MAE: 0.48954017311969195 Epoch: 17 Training loss: 0.3310759160667658 - MAE: 0.4774447066315486 Validation loss : 0.3774259686470032 - MAE: 0.4880097384906474 Epoch: 18 Training loss: 0.3268157131969929 - MAE: 0.4769134193579944 Validation loss : 0.36933284997940063 - MAE: 0.4866532541966137 Epoch: 19 Training loss: 0.33208456821739674 - MAE: 0.47655296778862255 Validation loss : 0.37112205227216083 - MAE: 0.4855814635377032 Epoch: 20 Training loss: 0.3221704252064228 - MAE: 0.4708966708048943 Validation loss : 0.37305204073588055 - MAE: 0.4843745666473899 Epoch: 21 Training loss: 0.319220207631588 - MAE: 0.4659159570559885 Validation loss : 0.3656473060448964 - MAE: 0.48240164131099855 Epoch: 22 Training loss: 0.3088933750987053 - MAE: 0.4629783055296608 Validation loss : 0.36868762969970703 - MAE: 0.48167770456315573 Epoch: 23 Training loss: 0.3150640856474638 - MAE: 0.46574956633475034 Validation loss : 0.36718644698460895 - MAE: 0.4807008610589718 Epoch: 24 Training loss: 0.3263703305274248 - MAE: 0.46966805492677394 Validation loss : 0.3651814063390096 - MAE: 0.4781980939746582 Epoch: 25 Training loss: 0.31337919645011425 - MAE: 0.4650738039108138 Validation loss : 0.3631853063901265 - MAE: 0.47657958342163376 Epoch: 26 Training loss: 0.3027796037495136 - MAE: 0.45648859327611346 Validation loss : 0.3644178807735443 - MAE: 0.4770563301927407 Epoch: 27 Training loss: 0.30631479527801275 - MAE: 0.4615475886237446 Validation loss : 0.36238805452982586 - MAE: 0.4760323912501618 Epoch: 28 Training loss: 0.29972987715154886 - MAE: 0.45893463544292934 Validation loss : 0.36146967609723407 - MAE: 0.4746660599977354 Epoch: 29 Training loss: 0.30621732398867607 - MAE: 0.45393519314470104 Validation loss : 0.36188016335169476 - MAE: 0.47444358872711484 Epoch: 30 Training loss: 0.30003988929092884 - MAE: 0.448404071901565 Validation loss : 0.36090312401453656 - MAE: 0.47481797562388134 Epoch: 31 Training loss: 0.3012841921299696 - MAE: 0.44778333443361495 Validation loss : 0.35667558511098224 - MAE: 0.47518212163760953 Epoch: 32 Training loss: 0.30491428170353174 - MAE: 0.45890286431583355 Validation loss : 0.3571072618166606 - MAE: 0.4736985243697936 Epoch: 33 Training loss: 0.3010206427425146 - MAE: 0.45760268311124075 Validation loss : 0.36011503140131634 - MAE: 0.47242688117959375 Epoch: 34 Training loss: 0.29713138565421104 - MAE: 0.4468806547943791 Validation loss : 0.3554988702138265 - MAE: 0.4713470852430808 Epoch: 35 Training loss: 0.30235562287271023 - MAE: 0.4522422574100237 Validation loss : 0.35319969058036804 - MAE: 0.4707372847227054 Epoch: 36 Training loss: 0.30070487409830093 - MAE: 0.45000269994060405 Validation loss : 0.35977308948834735 - MAE: 0.47115754516344915 Epoch: 37 Training loss: 0.2940844837576151 - MAE: 0.4457877531789012 Validation loss : 0.3541162312030792 - MAE: 0.46925242625849894 Epoch: 38 Training loss: 0.2927453964948654 - MAE: 0.44387900227096877 |