| Started at: 16:03:31 | |
| nb-bert-base, 1e-06, 128 | |
| ({'_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: 0.7271318706599149 - MAE: 0.6831216644315611 | |
| Validation loss : 0.42457069094116623 - MAE: 0.5310234954937942 | |
| Epoch: 1 | |
| Training loss: 0.4017618325623599 - MAE: 0.5113891617478459 | |
| Validation loss : 0.3601061556790326 - MAE: 0.47872181276206954 | |
| Epoch: 2 | |
| Training loss: 0.3346875086426735 - MAE: 0.4557084281637824 | |
| Validation loss : 0.3026893593975016 - MAE: 0.42968294420152836 | |
| Epoch: 3 | |
| Training loss: 0.27502210925925863 - MAE: 0.4083413682966922 | |
| Validation loss : 0.2493422031402588 - MAE: 0.38829624389412676 | |
| Epoch: 4 | |
| Training loss: 0.22922010150822728 - MAE: 0.374115376863141 | |
| Validation loss : 0.21512102678015427 - MAE: 0.36273443011280543 | |
| Epoch: 5 | |
| Training loss: 0.20582241117954253 - MAE: 0.35785392938520194 | |
| Validation loss : 0.19260533154010773 - MAE: 0.3445584427568667 | |
| Epoch: 6 | |
| Training loss: 0.18504355576905337 - MAE: 0.33999207572682016 | |
| Validation loss : 0.18239208814260122 - MAE: 0.3362534719407864 | |
| Epoch: 7 | |
| Training loss: 0.17347032624212178 - MAE: 0.32901041370404 | |
| Validation loss : 0.1727527996172776 - MAE: 0.3273999893030842 | |
| Epoch: 8 | |
| Training loss: 0.16140718588774855 - MAE: 0.3185892364257231 | |
| Validation loss : 0.16311134518803777 - MAE: 0.31766631226614 | |
| Epoch: 9 | |
| Training loss: 0.1555855579674244 - MAE: 0.3131268902757298 | |
| Validation loss : 0.15599115515077436 - MAE: 0.31016476266703236 | |
| Epoch: 10 | |
| Training loss: 0.14619598415764895 - MAE: 0.303503172138375 | |
| Validation loss : 0.150120818937147 - MAE: 0.3037910577986695 | |
| Epoch: 11 | |
| Training loss: 0.14181994023648176 - MAE: 0.2996883375884051 | |
| Validation loss : 0.1466762089246028 - MAE: 0.2993610834634052 | |
| Epoch: 12 | |
| Training loss: 0.13435588756745512 - MAE: 0.29110208978373203 | |
| Validation loss : 0.14056996175566236 - MAE: 0.29225523563049816 | |
| Epoch: 13 | |
| Training loss: 0.1287676831538027 - MAE: 0.28405198785284874 | |
| Validation loss : 0.1365019944874016 - MAE: 0.2873751026433757 | |
| Epoch: 14 | |
| Training loss: 0.12269411385059356 - MAE: 0.2770283447302897 | |
| Validation loss : 0.1298245403009492 - MAE: 0.2788738019688051 | |
| Epoch: 15 | |
| Training loss: 0.11961868865923449 - MAE: 0.2728991609541507 | |
| Validation loss : 0.12097394889270938 - MAE: 0.26905557549750797 | |
| Epoch: 16 | |