| Started at: 13:35:06 | |
| norbert, 1e-06, 256 | |
| ({'architectures': ['BertForMaskedLM'], 'attention_probs_dropout_prob': 0.1, 'hidden_act': 'gelu', 'hidden_dropout_prob': 0.1, 'hidden_size': 768, 'initializer_range': 0.02, 'intermediate_size': 3072, 'max_position_embeddings': 512, 'model_type': 'bert', 'num_attention_heads': 12, 'num_hidden_layers': 12, 'type_vocab_size': 2, 'vocab_size': 32922, '_commit_hash': '075d4e3705390691013e859faffc5696d071e33b'}, {}) | |
| Epoch: 0 | |
| Training loss: 1.0772956924004988 - MAE: 0.856498247298645 | |
| Validation loss : 0.4705231440694709 - MAE: 0.559096816475012 | |
| Epoch: 1 | |
| Training loss: 0.4544321965087544 - MAE: 0.547270218793919 | |
| Validation loss : 0.4447280058735295 - MAE: 0.5412003212987739 | |
| Epoch: 2 | |
| Training loss: 0.4308997018770738 - MAE: 0.5321279372731171 | |
| Validation loss : 0.4250404411240628 - MAE: 0.5278525510205802 | |
| Epoch: 3 | |
| Training loss: 0.4112297307361256 - MAE: 0.5181618101373561 | |
| Validation loss : 0.4046152390931782 - MAE: 0.5114425806516921 | |
| Epoch: 4 | |
| Training loss: 0.39213545484976337 - MAE: 0.5029892642604422 | |
| Validation loss : 0.38472563498898554 - MAE: 0.4958518717609155 | |
| Epoch: 5 | |
| Training loss: 0.37252565947445954 - MAE: 0.48912882214745235 | |
| Validation loss : 0.3650009020378715 - MAE: 0.4803670070791511 | |
| Epoch: 6 | |
| Training loss: 0.35621544176881964 - MAE: 0.47649085916155254 | |
| Validation loss : 0.34583601826115656 - MAE: 0.4648491765622296 | |
| Epoch: 7 | |
| Training loss: 0.3386711391535672 - MAE: 0.4621560564779693 | |
| Validation loss : 0.32482051692510905 - MAE: 0.447774475715626 | |
| Epoch: 8 | |
| Training loss: 0.3189195172353224 - MAE: 0.44856611871316393 | |
| Validation loss : 0.3037687069491336 - MAE: 0.43234104410096236 | |
| Epoch: 9 | |
| Training loss: 0.302150976116007 - MAE: 0.4362054346024602 | |
| Validation loss : 0.28887469360702916 - MAE: 0.4219088658456175 | |
| Epoch: 10 | |
| Training loss: 0.288030547987331 - MAE: 0.4250857297017967 | |
| Validation loss : 0.2715592282383065 - MAE: 0.4094845886681479 | |
| Epoch: 11 | |
| Training loss: 0.2728167688304728 - MAE: 0.4150105004789235 | |
| Validation loss : 0.2590365017715253 - MAE: 0.4007997052494776 | |
| Epoch: 12 | |
| Training loss: 0.26093280721794476 - MAE: 0.4062835607154814 | |
| Validation loss : 0.2483856074119869 - MAE: 0.39251004238851134 | |
| Epoch: 13 | |
| Training loss: 0.2504612925377759 - MAE: 0.39774659225475617 | |
| Validation loss : 0.24007577802005567 - MAE: 0.3851492814798488 | |
| Epoch: 14 | |
| Training loss: 0.2402110839431936 - MAE: 0.3895118978617586 | |
| Validation loss : 0.23096998741752223 - MAE: 0.3787625920680969 | |
| Epoch: 15 | |
| Training loss: 0.2349614213813435 - MAE: 0.3866884141347793 | |
| Validation loss : 0.2220262869408256 - MAE: 0.37076542663948076 | |
| Epoch: 16 | |
| Training loss: 0.22606125311418013 - MAE: 0.37828821519969064 | |
| Validation loss : 0.21567985101750023 - MAE: 0.3654683116694453 | |
| Epoch: 17 | |
| Training loss: 0.21893445578488438 - MAE: 0.3733201616952243 | |
| Validation loss : 0.21001864028604408 - MAE: 0.36006743132950286 | |
| Epoch: 18 | |
| Training loss: 0.21495496928691865 - MAE: 0.3689514976360227 | |
| Validation loss : 0.20457668602466583 - MAE: 0.3552828079917847 | |
| Epoch: 19 | |
| Training loss: 0.2064599324356426 - MAE: 0.3614734110377194 | |
| Validation loss : 0.19822196427144503 - MAE: 0.3497536657738755 | |
| Prediction MAE: 0.3470 | |
| Finished at: 13:35:06 | |
| Time taken: 2524 s. | |