home-standard-results
/
06-05-2023_norbert_batchsize_256_all_units_0.0001_1_200_freeze_True_earlystop_3.txt
Started at: 17:01:49 | |
({'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': '075d4e3705390691013e859faffc5696d071e33b'}, {}) | |
Epoch: 0 | |
Started at: 17:03:05 | |
({'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': 32922, '_commit_hash': '075d4e3705390691013e859faffc5696d071e33b'}, {}) | |
Started at: 17:03:18 | |
({'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': '075d4e3705390691013e859faffc5696d071e33b'}, {}) | |
Epoch: 0 | |
Training loss: 1.5561567282676696 - MAE: 1.1770511100698875 | |
Validation loss : 0.939958651860555 - MAE: 0.8876047142856601 | |
Epoch: 1 | |
Training loss: 0.6363586246967315 - MAE: 0.6928943697649724 | |
Validation loss : 0.33423560195498997 - MAE: 0.45375851608477785 | |
Epoch: 2 | |
Training loss: 0.2759279823303223 - MAE: 0.4052092643476477 | |
Validation loss : 0.20369169281588662 - MAE: 0.3433357920074413 | |
Epoch: 3 | |
Training loss: 0.20272068321704864 - MAE: 0.3399617345503301 | |
Validation loss : 0.19545602964030373 - MAE: 0.3416856898288076 | |
Epoch: 4 | |
Training loss: 0.1912100625038147 - MAE: 0.3326939730215834 | |
Validation loss : 0.19473741783036125 - MAE: 0.3417824430892937 | |
Epoch: 5 | |
Training loss: 0.19083771824836732 - MAE: 0.33137282498844967 | |
Validation loss : 0.19215407967567444 - MAE: 0.33912431491105655 | |
Epoch: 6 | |
Training loss: 0.18923945665359498 - MAE: 0.33146465315973606 | |
Validation loss : 0.18989400565624237 - MAE: 0.33674625605103725 | |
Epoch: 7 | |
Training loss: 0.18950583219528197 - MAE: 0.33087934479225867 | |
Validation loss : 0.18789740900198618 - MAE: 0.33464578460452915 | |
Epoch: 8 | |
Training loss: 0.1856936401128769 - MAE: 0.3275132613322806 | |
Validation loss : 0.1864797506067488 - MAE: 0.33324104491047596 | |
Epoch: 9 | |
Training loss: 0.1836453753709793 - MAE: 0.3255223596708951 | |
Validation loss : 0.18501530918810102 - MAE: 0.3316937400385192 | |
Epoch: 10 | |
Training loss: 0.18246697008609772 - MAE: 0.32322550938186817 | |
Validation loss : 0.18376492957274118 - MAE: 0.33042730021623856 | |
Epoch: 11 | |
Training loss: 0.1811656492948532 - MAE: 0.32419844121595726 | |
Validation loss : 0.18262643449836308 - MAE: 0.32929917485750665 | |
Epoch: 12 | |
Training loss: 0.18094802320003509 - MAE: 0.32277421430430436 | |
Validation loss : 0.18164582550525665 - MAE: 0.3283432280968596 | |
Epoch: 13 | |
Training loss: 0.1792392772436142 - MAE: 0.3209453182214294 | |
Validation loss : 0.18065459695127276 - MAE: 0.3273255372779676 | |
Epoch: 14 | |
Training loss: 0.17940414905548097 - MAE: 0.3216579290630419 | |
Validation loss : 0.17975443104902902 - MAE: 0.3264252069830345 | |
Epoch: 15 | |
Training loss: 0.17663683056831359 - MAE: 0.31768596289501483 | |
Validation loss : 0.17874346673488617 - MAE: 0.3253559679886541 | |
Epoch: 16 | |
Training loss: 0.17649461567401886 - MAE: 0.3184662269845276 | |
Validation loss : 0.17812747756640115 - MAE: 0.32483073473627894 | |
Epoch: 17 | |
Training loss: 0.17691377580165862 - MAE: 0.31822431281431196 | |
Validation loss : 0.17722326185968187 - MAE: 0.3238687376329823 | |
Epoch: 18 | |
Training loss: 0.1768798279762268 - MAE: 0.3188422584293619 | |
Validation loss : 0.17655367155869803 - MAE: 0.32321426470152304 | |
Epoch: 19 | |
Training loss: 0.17445733308792113 - MAE: 0.31640191359506836 | |
Validation loss : 0.17601815693908268 - MAE: 0.3227230412018289 | |
Epoch: 20 | |
Training loss: 0.17480538487434388 - MAE: 0.3161891511192775 | |
Validation loss : 0.1753774748908149 - MAE: 0.32208324574836594 | |
Epoch: 21 | |
Training loss: 0.1732891607284546 - MAE: 0.31558897873451675 | |
Validation loss : 0.1746254563331604 - MAE: 0.3213051447966539 | |
Epoch: 22 | |
Training loss: 0.17241579234600068 - MAE: 0.3140265985892311 | |
Validation loss : 0.17429026464621225 - MAE: 0.3210719014371899 | |
Epoch: 23 | |
Training loss: 0.17162418186664583 - MAE: 0.31408943363705194 | |
Validation loss : 0.17367220256063673 - MAE: 0.32039953149205447 | |
Epoch: 24 | |
Training loss: 0.17133045554161072 - MAE: 0.3127541530123475 | |
Validation loss : 0.17310193015469444 - MAE: 0.31980652640276674 | |
Epoch: 25 | |
Training loss: 0.16942350268363954 - MAE: 0.3121290878409379 | |
Validation loss : 0.17268804874685076 - MAE: 0.31942688696053373 | |
Epoch: 26 | |
Training loss: 0.17049773633480073 - MAE: 0.31363952840493803 | |
Validation loss : 0.172120107544793 - MAE: 0.31881123537483563 | |
Epoch: 27 | |
Training loss: 0.16871756613254546 - MAE: 0.3115901409937759 | |
Validation loss : 0.17177432609928978 - MAE: 0.31851900529837285 | |
Epoch: 28 | |
Training loss: 0.16907432436943054 - MAE: 0.31170754064878 | |
Validation loss : 0.17153260277377236 - MAE: 0.31832788132070616 | |
Epoch: 29 | |
Training loss: 0.16863942086696626 - MAE: 0.30940055904153907 | |
Validation loss : 0.17075370252132416 - MAE: 0.31735976568837887 | |
Epoch: 30 | |
Training loss: 0.16562108039855958 - MAE: 0.3078162592146858 | |
Validation loss : 0.17026153869099087 - MAE: 0.3168285940423929 | |
Epoch: 31 | |
Training loss: 0.16831409573554992 - MAE: 0.3108275862555087 | |
Validation loss : 0.17004851169056362 - MAE: 0.3166782612622688 | |
Epoch: 32 | |
Training loss: 0.16607610881328583 - MAE: 0.3073008856775552 | |
Validation loss : 0.169812281926473 - MAE: 0.3164999426442513 | |
Epoch: 33 | |
Training loss: 0.16536492824554444 - MAE: 0.30730756893246436 | |
Validation loss : 0.16954073972172207 - MAE: 0.3162310921518069 | |
Epoch: 34 | |
Training loss: 0.16565500557422638 - MAE: 0.30880801031262106 | |
Validation loss : 0.16896353165308634 - MAE: 0.3154897166767324 | |
Epoch: 35 | |
Training loss: 0.16480786919593812 - MAE: 0.3066865369170677 | |
Validation loss : 0.16894808411598206 - MAE: 0.315587755169499 | |
Epoch: 36 | |
Training loss: 0.16488760769367217 - MAE: 0.3062544913178101 | |
Validation loss : 0.1683160811662674 - MAE: 0.3147328218692977 | |
Epoch: 37 | |
Training loss: 0.16296948552131651 - MAE: 0.30529006908692957 | |
Validation loss : 0.16822955012321472 - MAE: 0.31474619083221317 | |
Epoch: 38 | |
Training loss: 0.16405799746513366 - MAE: 0.3065666077277542 | |
Validation loss : 0.16793323556582132 - MAE: 0.3143827065817725 | |
Epoch: 39 | |
Training loss: 0.16395046710968017 - MAE: 0.3061178662220702 | |
Validation loss : 0.16756848825348747 - MAE: 0.31392760086070465 | |
Epoch: 40 | |
Training loss: 0.16225593984127046 - MAE: 0.30391575924794567 | |
Validation loss : 0.16728156473901537 - MAE: 0.31359587016220536 | |
Epoch: 41 | |
Training loss: 0.162018803358078 - MAE: 0.3050126817417 | |
Validation loss : 0.16726960241794586 - MAE: 0.3136659181800001 | |
Epoch: 42 | |
Training loss: 0.1616269725561142 - MAE: 0.3047072823079763 | |
Validation loss : 0.1666801455948088 - MAE: 0.31286053951971926 | |
Epoch: 43 | |
Training loss: 0.16371312737464905 - MAE: 0.3072663025489704 | |
Validation loss : 0.16660702228546143 - MAE: 0.3128544246563194 | |
Epoch: 44 | |
Training loss: 0.16274581968784332 - MAE: 0.3055276315731144 | |
Validation loss : 0.16622301439444223 - MAE: 0.3123737118409309 | |
Epoch: 45 | |
Training loss: 0.16198877573013307 - MAE: 0.30387318215935566 | |
Validation loss : 0.16592974132961696 - MAE: 0.3120266870766228 | |
Epoch: 46 | |
Training loss: 0.1613679423928261 - MAE: 0.30285112156406757 | |
Validation loss : 0.16592562860912746 - MAE: 0.3120895779099974 | |
Epoch: 47 | |
Training loss: 0.1596740049123764 - MAE: 0.30196700285423644 | |
Validation loss : 0.1656825906700558 - MAE: 0.3117942734701369 | |
Epoch: 48 | |
Training loss: 0.16010645925998687 - MAE: 0.3010781145976006 | |
Validation loss : 0.1654240306880739 - MAE: 0.3114403430988788 | |
Epoch: 49 | |
Training loss: 0.16135582566261292 - MAE: 0.3033602255531342 | |
Validation loss : 0.16523137191931406 - MAE: 0.3111766545135443 | |
Epoch: 50 | |
Training loss: 0.15887635439634323 - MAE: 0.30139360974455354 | |
Validation loss : 0.16520478659205967 - MAE: 0.31118266518707904 | |
Epoch: 51 | |
Training loss: 0.1623841804265976 - MAE: 0.3041726753025802 | |
Validation loss : 0.16488962206575605 - MAE: 0.3107705042403597 | |
Epoch: 52 | |
Training loss: 0.15951467990875245 - MAE: 0.3024485706726396 | |
Validation loss : 0.16450322336620754 - MAE: 0.3101646703863994 | |
Epoch: 53 | |
Training loss: 0.1593264466524124 - MAE: 0.3019928035241633 | |
Validation loss : 0.16450072824954987 - MAE: 0.3102381133991464 | |
Epoch: 54 | |
Training loss: 0.15892296969890596 - MAE: 0.3010730142919314 | |
Validation loss : 0.1644514716333813 - MAE: 0.31025052996699415 | |
Epoch: 55 | |
Training loss: 0.15801858335733412 - MAE: 0.300129276806219 | |
Validation loss : 0.1639546040031645 - MAE: 0.30954432283469774 | |
Epoch: 56 | |
Training loss: 0.15852347761392593 - MAE: 0.30000137034695895 | |
Validation loss : 0.16394910713036856 - MAE: 0.3096252551544829 | |
Epoch: 57 | |
Training loss: 0.15989623069763184 - MAE: 0.3008597511380722 | |
Validation loss : 0.1637496915128496 - MAE: 0.30938490975556004 | |
Epoch: 58 | |
Training loss: 0.15900149762630464 - MAE: 0.30091532233302887 | |
Validation loss : 0.16357198854287466 - MAE: 0.3091647551750498 | |
Epoch: 59 | |
Training loss: 0.15815627008676528 - MAE: 0.2998753613511919 | |
Validation loss : 0.16364828579955631 - MAE: 0.30934114039380045 | |
Epoch: 60 | |
Training loss: 0.15863654345273973 - MAE: 0.2997401767468425 | |
Validation loss : 0.16360284553633797 - MAE: 0.3093700140804052 | |
Epoch: 61 | |
Training loss: 0.1569861376285553 - MAE: 0.3001724729244438 | |
Validation loss : 0.1631663309203254 - MAE: 0.3087389482069802 | |
Epoch: 62 | |
Training loss: 0.15764495313167573 - MAE: 0.29931992861180673 | |
Validation loss : 0.1628624697526296 - MAE: 0.3082940994455321 | |
Epoch: 63 | |
Training loss: 0.15620498329401017 - MAE: 0.2983585146384368 | |
Validation loss : 0.16287368204858568 - MAE: 0.30839281732122203 | |
Epoch: 64 | |
Training loss: 0.15624627590179443 - MAE: 0.29862051694345537 | |