| Started at: 21:04:23 | |
| ({'_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: 0.21613560179338873 - MSE: 0.3443637452993947 | |
| Validation loss : 0.16539869446839606 - MSE: 0.3086538036769655 | |
| Epoch: 1 | |
| Training loss: 0.1837235710863928 - MSE: 0.32413622182287605 | |
| Validation loss : 0.16982820672648294 - MSE: 0.31674233427703646 | |
| Epoch: 2 | |
| Training loss: 0.18304820250249604 - MSE: 0.3239108068413553 | |
| Validation loss : 0.17052161650998252 - MSE: 0.31788417737032953 | |
| Epoch: 3 | |
| Training loss: 0.18448016108963097 - MSE: 0.3252394673594232 | |
| Validation loss : 0.17072700315288136 - MSE: 0.3182306206402635 | |
| Epoch: 4 | |
| Training loss: 0.184644706619596 - MSE: 0.32518134408631855 | |
| Validation loss : 0.17120066466076034 - MSE: 0.31901036988045756 | |
| Epoch: 5 | |
| Training loss: 0.18460615753259474 - MSE: 0.3252760797817471 | |
| Validation loss : 0.17181508860417774 - MSE: 0.3200009087117256 | |
| Epoch: 6 | |
| Training loss: 0.18562242764871098 - MSE: 0.3263451638426147 | |
| Validation loss : 0.1719757279115064 - MSE: 0.32025919894721094 | |
| Epoch: 7 | |
| Training loss: 0.1845672134924861 - MSE: 0.3252300495699698 | |
| Validation loss : 0.16974811958415167 - MSE: 0.3166154321565825 | |
| Epoch: 8 | |
| Training loss: 0.18489993262348822 - MSE: 0.3254686886041067 | |
| Validation loss : 0.1729555284338338 - MSE: 0.3217263126762451 | |
| Epoch: 9 | |
| Training loss: 0.18432768325782517 - MSE: 0.3248599418213628 | |
| Validation loss : 0.1708770450736795 - MSE: 0.31844797706663874 | |
| Epoch: 10 | |
| Training loss: 0.1825945836681764 - MSE: 0.3229734198364271 | |
| Validation loss : 0.17286965453198977 - MSE: 0.3215693459729664 | |
| Epoch: 11 | |
| Training loss: 0.18539906857372487 - MSE: 0.3260377252207724 | |
| Validation loss : 0.17201036236115863 - MSE: 0.32026005895708554 | |
| Epoch: 12 | |
| Training loss: 0.1842774318404568 - MSE: 0.32480808348019835 | |
| Validation loss : 0.17158785260149412 - MSE: 0.3195950089571332 | |
| Epoch: 13 | |
| Training loss: 0.1854605678360439 - MSE: 0.32605868234166485 | |
| Validation loss : 0.16932314804622106 - MSE: 0.31585823518523415 | |
| Epoch: 14 | |
| Training loss: 0.18442078412157817 - MSE: 0.3251032140988794 | |
| Validation loss : 0.17218789415700095 - MSE: 0.3203968357577521 | |
| Epoch: 15 | |
| Training loss: 0.18477218655995953 - MSE: 0.3251257856019914 | |
| Validation loss : 0.1698176066790308 - MSE: 0.31671145460069444 | |
| Epoch: 16 | |
| Training loss: 0.18476421284733466 - MSE: 0.32554927459500077 | |
| Validation loss : 0.17247124761343002 - MSE: 0.32069564608225065 | |
| Epoch: 17 | |
| Training loss: 0.18528969708866286 - MSE: 0.32587523702603366 | |
| Validation loss : 0.1712306280221258 - MSE: 0.31879013103732307 | |
| Epoch: 18 | |
| Training loss: 0.18497512178513612 - MSE: 0.32565531341222104 | |
| Validation loss : 0.17178946360945702 - MSE: 0.3196054689336701 | |
| Epoch: 19 | |
| Training loss: 0.18551090916672958 - MSE: 0.3260867291475271 | |
| Validation loss : 0.16729344012481825 - MSE: 0.3128114424396439 | |
| Epoch: 20 | |
| Training loss: 0.1845464623596483 - MSE: 0.325132180970436 | |
| Validation loss : 0.16118713564106396 - MSE: 0.29868657096854545 | |
| Epoch: 21 | |
| Training loss: 0.18486736881212124 - MSE: 0.32487037529952106 | |
| Validation loss : 0.16049016671521324 - MSE: 0.29485191029795843 | |
| Epoch: 22 | |
| Training loss: 0.18485277428210362 - MSE: 0.32541124936960536 | |
| Validation loss : 0.16668628422277315 - MSE: 0.3111972908639083 | |
| Epoch: 23 | |
| Training loss: 0.18316040828245359 - MSE: 0.3236609574057915 | |
| Validation loss : 0.17183729984930585 - MSE: 0.31994768048669875 | |
| Epoch: 24 | |
| Training loss: 0.1849682867816351 - MSE: 0.3254867070790945 | |
| Validation loss : 0.17206446932894842 - MSE: 0.3203199030848087 | |
| Epoch: 25 | |
| Training loss: 0.1846233180281028 - MSE: 0.3248847895281911 | |
| Validation loss : 0.16824970575315612 - MSE: 0.31392427542014045 | |
| Epoch: 26 | |
| Training loss: 0.1850127536550309 - MSE: 0.3256664766776012 | |
| Validation loss : 0.16485340020486286 - MSE: 0.30710649498505516 | |