File size: 7,209 Bytes
2863435 d9903eb ae6de0a 72b4779 e3226a9 c1db37b b6341d2 ac684bb 9c4916e eb9ed00 a27fbb8 c11a2d6 313d079 2764bcd 83e329e e6faf22 ad60b3a 576ee43 5975a72 b776414 3132eda 66a50c3 00291a2 8aa0f37 131e5f5 aefc0be 77dd9d0 b9cebad 6459216 a004125 5cc4c5f f240353 f7c5d11 121bf88 b4cfc25 e07df03 d505637 7e8b731 c954973 6126796 eab261a 177761f b2f5a4e ae548df 86d9552 5d4437a 3b2c26e 0de57c3 14eaa51 b9fc9b4 3ae600c 6d7118e 4f3d5f6 d9b3577 df520df a6172c7 6070711 e3062bf c18db68 7ed4d4d 9eef202 299bb83 8daeff1 faf5cf1 24f7ecc 083eefa ce29c09 4ec561b daa09bb 94610ec 793d5dd 0e8882a e6caa73 a535d78 e65bac1 5a7bd4e 0585047 c4c8f36 75db9be 9e54708 b6b8e1a 03ff0c4 477971a 7005174 3841f43 dde2b2f 3d5b927 8db7d36 0c236dc ab8e0d2 c903549 01ff951 12b25fb a4624d2 03ca177 e7b7d4b 4491354 73119dc 4a9b230 48f3be2 ac5bf7a 4bc32e8 b6913e3 ee1812e dc3bd6b 2fd80f2 f59201e 8e04c61 ae6ac12 e4f0f79 20b2188 2d663f3 7508c99 85776e2 be98590 1024a83 cedbef6 9d43452 e21a336 65aa2b7 f0eee10 22852f1 cafd4df b9e41a0 117a55c 8a444fb ab012eb f456725 2da2c38 617e08b b7a587f 45e3f98 4dea949 4eed9ca fdf1c02 cadc14e a44b504 dd755e4 80ae198 1a231ab 45015a2 4d9441d 6f8ccb2 3049058 124add2 |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 |
Started at: 16:43:45
({'_name_or_path': '/disk4/folder1/working/checkpoints/huggingface/native_pytorch/step4_8/', 'attention_probs_dropout_prob': 0.1, 'directionality': 'bidi', 'gradient_checkpointing': False, 'hidden_act': 'gelu', 'hidden_dropout_prob': 0.1, 'hidden_size': 768, 'initializer_range': 0.02, 'intermediate_size': 3072, 'layer_norm_eps': 1e-12, 'max_position_embeddings': 512, 'model_type': 'bert', 'num_attention_heads': 12, 'num_hidden_layers': 12, 'pad_token_id': 0, 'pooler_fc_size': 768, 'pooler_num_attention_heads': 12, 'pooler_num_fc_layers': 3, 'pooler_size_per_head': 128, 'pooler_type': 'first_token_transform', 'position_embedding_type': 'absolute', 'type_vocab_size': 2, 'vocab_size': 119547, '_commit_hash': '82b194c0b3ea1fcad65f1eceee04adb26f9f71ac'}, {})
Epoch: 0
Training loss: 0.20329919241860434 - MSE: 0.3402557295436599
Validation loss : 0.18580390038815411 - MSE: 0.3241432956664492
Epoch: 1
Training loss: 0.1732676090095854 - MSE: 0.31724595576337034
Validation loss : 0.16568760144891162 - MSE: 0.31341614153228575
Epoch: 2
Training loss: 0.16030060382663902 - MSE: 0.3035005222248579
Validation loss : 0.1516422192481431 - MSE: 0.2875130449669631
Epoch: 3
Training loss: 0.1554781354509937 - MSE: 0.2979727920176376
Validation loss : 0.14750216573928343 - MSE: 0.28489314670482657
Epoch: 4
Training loss: 0.15081479527094038 - MSE: 0.2927710830201153
Validation loss : 0.14724563451653178 - MSE: 0.2861008250329437
Epoch: 5
Training loss: 0.1466910548621628 - MSE: 0.28974043263491844
Validation loss : 0.14556188587889526 - MSE: 0.28255917721777324
Epoch: 6
Training loss: 0.1464147042048159 - MSE: 0.28871972411446317
Validation loss : 0.14734464714472945 - MSE: 0.2857798778567098
Epoch: 7
Training loss: 0.14595557395652467 - MSE: 0.28856819400962264
Validation loss : 0.1446235611131697 - MSE: 0.28117785966411335
Epoch: 8
Training loss: 0.1449509447601241 - MSE: 0.2885284100938226
Validation loss : 0.1455823565748605 - MSE: 0.2817915015842891
Epoch: 9
Training loss: 0.1447959460771931 - MSE: 0.2872239444923332
Validation loss : 0.14529388951081218 - MSE: 0.2819837225561805
Epoch: 10
Training loss: 0.14472211318724046 - MSE: 0.28719455320410664
Validation loss : 0.14937494666964718 - MSE: 0.2843606734781727
Epoch: 11
Training loss: 0.144088552139586 - MSE: 0.28760964775038966
Validation loss : 0.14968568538174484 - MSE: 0.2861486726980596
Epoch: 12
Training loss: 0.14606445747886213 - MSE: 0.28844804390686263
Validation loss : 0.1448706823090712 - MSE: 0.28046784730610597
Epoch: 13
Training loss: 0.14478144813612634 - MSE: 0.2881406565554036
Validation loss : 0.15223626566655707 - MSE: 0.28788476966778725
Epoch: 14
Training loss: 0.13903559124106682 - MSE: 0.28273852721941334
Validation loss : 0.14466467048182632 - MSE: 0.2818046804860061
Epoch: 15
Training loss: 0.14228089620846177 - MSE: 0.28594855431899785
Validation loss : 0.14179454258445537 - MSE: 0.279193046159515
Epoch: 16
Training loss: 0.13887919387236464 - MSE: 0.2823545795451341
Validation loss : 0.14775521138852293 - MSE: 0.28455426443221177
Epoch: 17
Training loss: 0.13864240927744637 - MSE: 0.28109458266700194
Validation loss : 0.14809496587876117 - MSE: 0.28279495799750376
Epoch: 18
Training loss: 0.1387332887365128 - MSE: 0.28150766164938196
Validation loss : 0.14517276073721322 - MSE: 0.28345849166153503
Epoch: 19
Training loss: 0.13895187230052683 - MSE: 0.283011639691845
Validation loss : 0.13953923958946357 - MSE: 0.2801639866984212
Epoch: 20
Training loss: 0.13918349640396646 - MSE: 0.2821651974106403
Validation loss : 0.13979203293495107 - MSE: 0.27861376313959874
Epoch: 21
Training loss: 0.14063993230613356 - MSE: 0.28420372002952893
Validation loss : 0.13928090024626616 - MSE: 0.27858824725509246
Epoch: 22
Training loss: 0.1396664222182356 - MSE: 0.2826851016305493
Validation loss : 0.14619293684760729 - MSE: 0.28350754677889844
Epoch: 23
Training loss: 0.1393597536734518 - MSE: 0.2831695874891608
Validation loss : 0.15760497906894394 - MSE: 0.2929710551416292
Epoch: 24
Training loss: 0.14330284036506857 - MSE: 0.2854830684384262
Validation loss : 0.13994943711793784 - MSE: 0.27753756844449295
Epoch: 25
Training loss: 0.13945241206264133 - MSE: 0.2826231307316076
Validation loss : 0.14450635089341438 - MSE: 0.2799117028245645
Epoch: 26
Training loss: 0.1400487285655767 - MSE: 0.2827613417904652
Validation loss : 0.14119875927766165 - MSE: 0.2802039488934804
Epoch: 27
Training loss: 0.13957865950344178 - MSE: 0.2835329892746324
Validation loss : 0.13819768674897426 - MSE: 0.2794946100211438
Epoch: 28
Training loss: 0.1374973415156004 - MSE: 0.28128534494898844
Validation loss : 0.14083260241331477 - MSE: 0.2814639894770441
Epoch: 29
Training loss: 0.13817684208681136 - MSE: 0.28115783518427634
Validation loss : 0.14037107574668797 - MSE: 0.27838395685726863
Epoch: 30
Training loss: 0.13721867764207918 - MSE: 0.2802049705394877
Validation loss : 0.1422693511527596 - MSE: 0.2787260013750915
Epoch: 31
Training loss: 0.13815009665822015 - MSE: 0.28156990658373454
Validation loss : 0.1465979339272687 - MSE: 0.2843070852652152
Epoch: 32
Training loss: 0.13885138959146393 - MSE: 0.2836372357890927
Validation loss : 0.13849051680528757 - MSE: 0.27857965217533776
Epoch: 33
Training loss: 0.1401642515952817 - MSE: 0.28342677132398825
Validation loss : 0.13788489980453794 - MSE: 0.27930783007810955
Epoch: 34
Training loss: 0.1361726027000979 - MSE: 0.27985046840323413
Validation loss : 0.16987047333157423 - MSE: 0.30493016221803637
Epoch: 35
Training loss: 0.1386311886463371 - MSE: 0.28124844572171204
Validation loss : 0.14169367549545836 - MSE: 0.2802098872485924
Epoch: 36
Training loss: 0.14259846011167251 - MSE: 0.2853321706129094
Validation loss : 0.1517656207310431 - MSE: 0.2935094882384407
Epoch: 37
Training loss: 0.13557088204900625 - MSE: 0.2800028284901953
Validation loss : 0.14517026417183154 - MSE: 0.2817183299169993
Epoch: 38
Training loss: 0.13652241110877336 - MSE: 0.2794668161174052
Validation loss : 0.13902895558964123 - MSE: 0.27818083237902175
Epoch: 39
Training loss: 0.1393957434193737 - MSE: 0.2823959565417317
Validation loss : 0.1395419848461946 - MSE: 0.2798299307917249
Epoch: 40
Training loss: 0.13666216206505213 - MSE: 0.28018458493590065
Validation loss : 0.15288511528210205 - MSE: 0.2918520444865227
Epoch: 41
Training loss: 0.13617279751197942 - MSE: 0.27786906350611423
Validation loss : 0.13901080366111163 - MSE: 0.28098257594247894
Epoch: 42
Training loss: 0.13920053845356564 - MSE: 0.28319340622171985
Validation loss : 0.15065034484547196 - MSE: 0.28718627272826913
Epoch: 43
Training loss: 0.13663471834308605 - MSE: 0.27944792830679593
Validation loss : 0.1535997837781906 - MSE: 0.2978820976756964
Epoch: 44
Training loss: 0.1377708750781674 - MSE: 0.28052896536186017
Validation loss : 0.13884662611014914 - MSE: 0.28029353583997607
Epoch: 45
Training loss: 0.13761436545909358 - MSE: 0.27968942549565456
Validation loss : 0.14552195652416258 - MSE: 0.2821291957997396
Epoch: 46
Training loss: 0.13772785032007295 - MSE: 0.28121185390996406
Validation loss : 0.14855478478200507 - MSE: 0.2842055445676991
Epoch: 47
Training loss: 0.13615723759843612 - MSE: 0.27797362166311385
|