| Started at: 15:20:16 | |
| ({'_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: 0.6578984168859628 - MAE: 0.6674722109137042 | |
| Validation loss : 0.32113080024719237 - MAE: 0.45643225009255417 | |
| Epoch: 1 | |
| Training loss: 0.25543879431027633 - MAE: 0.3910323237625205 | |
| Validation loss : 0.2070162296295166 - MAE: 0.3427800552704421 | |
| Epoch: 2 | |
| Training loss: 0.20022909687115595 - MAE: 0.34185446647043155 | |
| Validation loss : 0.1910509407520294 - MAE: 0.3408369084923425 | |
| Epoch: 3 | |
| Training loss: 0.18548667545502 - MAE: 0.324754784674793 | |
| Validation loss : 0.17563332319259645 - MAE: 0.32411278291801865 | |
| Epoch: 4 | |
| Training loss: 0.17486068262503698 - MAE: 0.3197417418736398 | |
| Validation loss : 0.16728453636169432 - MAE: 0.31319684318909913 | |
| Epoch: 5 | |
| Training loss: 0.16917219643409437 - MAE: 0.3116997644461795 | |
| Validation loss : 0.16494652032852172 - MAE: 0.31156720464741927 | |
| Epoch: 6 | |
| Training loss: 0.1663729869402372 - MAE: 0.3068122622576569 | |
| Validation loss : 0.16140909492969513 - MAE: 0.30731822951750715 | |
| Epoch: 7 | |
| Training loss: 0.16431669317759 - MAE: 0.3058750525941657 | |
| Validation loss : 0.15877128541469573 - MAE: 0.30407342135000287 | |
| Epoch: 8 | |
| Training loss: 0.16241646844607133 - MAE: 0.3041819685850804 | |
| Validation loss : 0.1569153904914856 - MAE: 0.3017167806049155 | |
| Epoch: 9 | |
| Training loss: 0.16105010303167197 - MAE: 0.3032572371335961 | |
| Validation loss : 0.15558656454086303 - MAE: 0.3001891695223057 | |
| Epoch: 10 | |
| Training loss: 0.15921874344348907 - MAE: 0.3000818604914875 | |
| Validation loss : 0.15467585921287536 - MAE: 0.29914423021883907 | |
| Epoch: 11 | |
| Training loss: 0.15774007026965803 - MAE: 0.2982069839270297 | |
| Validation loss : 0.1533532589673996 - MAE: 0.297580975135282 | |
| Epoch: 12 | |
| Training loss: 0.15732021515186018 - MAE: 0.2976011320081585 | |
| Validation loss : 0.15192450284957887 - MAE: 0.29573920735107395 | |
| Epoch: 13 | |
| Training loss: 0.15720971043293291 - MAE: 0.29652890957399775 | |
| Validation loss : 0.1509649246931076 - MAE: 0.29458318810555245 | |
| Epoch: 14 | |
| Training loss: 0.15484117773862985 - MAE: 0.29611318781416973 | |
| Validation loss : 0.1503614068031311 - MAE: 0.2939076775146755 | |
| Epoch: 15 | |
| Training loss: 0.155086215872031 - MAE: 0.29664500405408706 | |
| Validation loss : 0.15024077594280244 - MAE: 0.29392331689441004 | |
| Epoch: 16 | |
| Training loss: 0.15504858241631433 - MAE: 0.2957256243301222 | |
| Validation loss : 0.1485931918025017 - MAE: 0.2914224770774145 | |
| Epoch: 17 | |
| Training loss: 0.15379978257876176 - MAE: 0.29412706894690854 | |
| Validation loss : 0.14767061471939086 - MAE: 0.2902352961206649 | |
| Epoch: 18 | |
| Training loss: 0.1524271907714697 - MAE: 0.29522762759884463 | |
| Validation loss : 0.14687707424163818 - MAE: 0.2890248553978195 | |
| Epoch: 19 | |
| Training loss: 0.15298244586357704 - MAE: 0.2947185932796371 | |
| Validation loss : 0.14664213359355927 - MAE: 0.28895800873643585 | |
| Epoch: 20 | |
| Training loss: 0.15084516085111177 - MAE: 0.292000504315752 | |
| Validation loss : 0.14631550312042235 - MAE: 0.28849219420284944 | |
| Epoch: 21 | |
| Training loss: 0.15149428523503816 - MAE: 0.2936117120334934 | |
| Validation loss : 0.14516318440437317 - MAE: 0.28667382433218613 | |
| Epoch: 22 | |
| Training loss: 0.1504942155801333 - MAE: 0.2927925834077908 | |
| Validation loss : 0.1446590781211853 - MAE: 0.28609412944511414 | |
| Epoch: 23 | |
| Training loss: 0.1504766345024109 - MAE: 0.29175161025587215 | |
| Validation loss : 0.14430544078350066 - MAE: 0.28555207548422323 | |
| Epoch: 24 | |
| Training loss: 0.15013286700615516 - MAE: 0.2912126204325197 | |
| Validation loss : 0.1440100222826004 - MAE: 0.28499906257314495 | |
| Epoch: 25 | |
| Training loss: 0.14975401071401742 - MAE: 0.2924956689023364 | |
| Validation loss : 0.14365987926721574 - MAE: 0.28487079413975225 | |
| Epoch: 26 | |
| Training loss: 0.1486645724910956 - MAE: 0.2897513086297186 | |
| Validation loss : 0.14352002441883088 - MAE: 0.28460829742287724 | |
| Epoch: 27 | |
| Training loss: 0.14726154735455146 - MAE: 0.289499577762165 | |
| Validation loss : 0.14327441155910492 - MAE: 0.2841265074565353 | |
| Epoch: 28 | |
| Training loss: 0.1473093697657952 - MAE: 0.28847736514612604 | |
| Validation loss : 0.14346123337745667 - MAE: 0.28399052003823066 | |
| Epoch: 29 | |
| Training loss: 0.14938327096975768 - MAE: 0.29230637823618844 | |
| Validation loss : 0.14395955055952073 - MAE: 0.2843064640604636 | |
| Epoch: 30 | |