| 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 | |