| Started at: 11:40:24 | |
| nb-bert-base, 0.001, 512 | |
| ({'_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: 0.6829635271659265 - MAE: 0.6693431870059429 | |
| Validation loss : 0.5015756666660309 - MAE: 0.5997545175999092 | |
| Epoch: 1 | |
| Training loss: 0.26068564561697155 - MAE: 0.40026651290975057 | |
| Validation loss : 0.2343240737915039 - MAE: 0.3639362216460188 | |
| Epoch: 2 | |
| Training loss: 0.20825687165443713 - MAE: 0.34524354469083296 | |
| Validation loss : 0.20746740698814392 - MAE: 0.35860255150045284 | |
| Epoch: 3 | |
| Training loss: 0.1804403788768328 - MAE: 0.324681643823719 | |
| Validation loss : 0.17072068750858307 - MAE: 0.3124492505853874 | |
| Epoch: 4 | |
| Training loss: 0.17333761086830726 - MAE: 0.3132351201497551 | |
| Validation loss : 0.17095611095428467 - MAE: 0.31916315360789926 | |
| Epoch: 5 | |
| Training loss: 0.16724205017089844 - MAE: 0.3070826757836269 | |
| Validation loss : 0.16323553621768952 - MAE: 0.30865708568301353 | |
| Epoch: 6 | |
| Training loss: 0.16199684257690722 - MAE: 0.3026997098344876 | |
| Validation loss : 0.1614771842956543 - MAE: 0.3067986414590729 | |
| Epoch: 7 | |
| Training loss: 0.16401460537543663 - MAE: 0.3037438752420999 | |
| Validation loss : 0.15994466841220856 - MAE: 0.30503234812758634 | |
| Epoch: 8 | |
| Training loss: 0.16340345602769119 - MAE: 0.30281380735994723 | |
| Validation loss : 0.1587683379650116 - MAE: 0.3037075319625505 | |
| Epoch: 9 | |
| Training loss: 0.16126641172629136 - MAE: 0.3015211312899261 | |
| Validation loss : 0.15727587938308715 - MAE: 0.30159571389132384 | |
| Epoch: 10 | |
| Training loss: 0.16030011841884026 - MAE: 0.29977143854425936 | |
| Validation loss : 0.1565701872110367 - MAE: 0.30090318825320855 | |
| Epoch: 11 | |
| Training loss: 0.15990765392780304 - MAE: 0.3001817094076697 | |
| Validation loss : 0.15565772354602814 - MAE: 0.29973778065557 | |
| Epoch: 12 | |
| Training loss: 0.15747033861967233 - MAE: 0.2969911949201895 | |
| Validation loss : 0.15501231849193572 - MAE: 0.2991009715387324 | |
| Epoch: 13 | |
| Training loss: 0.15866013902884263 - MAE: 0.2974925745491436 | |
| Validation loss : 0.15455043613910674 - MAE: 0.298642265264826 | |
| Epoch: 14 | |
| Training loss: 0.15624549755683312 - MAE: 0.29534914888328495 | |
| Validation loss : 0.15433281362056733 - MAE: 0.2986108357413379 | |
| Epoch: 15 | |
| Training loss: 0.15603324541678795 - MAE: 0.2951994368480578 | |
| Validation loss : 0.1534305989742279 - MAE: 0.2972280074655698 | |
| Epoch: 16 | |
| Training loss: 0.15464195150595444 - MAE: 0.2940797652071446 | |
| Validation loss : 0.15260524451732635 - MAE: 0.29575102870976666 | |
| Epoch: 17 | |
| Training loss: 0.1543641434266017 - MAE: 0.2931998174008073 | |
| Validation loss : 0.15271952152252197 - MAE: 0.29645292921958 | |
| Epoch: 18 | |
| Training loss: 0.15505598829342768 - MAE: 0.29452743047415114 | |
| Validation loss : 0.15231834948062897 - MAE: 0.29597031674905394 | |