| Started at: 12:29:55 | |
| norbert, 5e-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: 0.5341290700435638 - MAE: 0.5775812031776163 | |
| Validation loss : 0.20913811690277523 - MAE: 0.3559517687797103 | |
| Epoch: 1 | |
| Training loss: 0.1925646984577179 - MAE: 0.33014900555771165 | |
| Validation loss : 0.19771589504347908 - MAE: 0.3469693647155534 | |
| Epoch: 2 | |
| Training loss: 0.17236647367477417 - MAE: 0.31412950202784257 | |
| Validation loss : 0.17734277910656399 - MAE: 0.3241412162028599 | |
| Epoch: 3 | |
| Training loss: 0.16684930324554442 - MAE: 0.3089053937204404 | |
| Validation loss : 0.17018018000655705 - MAE: 0.31540523144474286 | |
| Epoch: 4 | |
| Training loss: 0.16185393035411835 - MAE: 0.3031887793935882 | |
| Validation loss : 0.165420510702663 - MAE: 0.3100710188975959 | |
| Epoch: 5 | |
| Training loss: 0.15806202471256256 - MAE: 0.2991245015294829 | |
| Validation loss : 0.1620023101568222 - MAE: 0.306085451961568 | |
| Epoch: 6 | |
| Training loss: 0.15362942457199097 - MAE: 0.2950021398631103 | |
| Validation loss : 0.15738655461205375 - MAE: 0.3000887467317537 | |
| Epoch: 7 | |
| Training loss: 0.14957553803920745 - MAE: 0.29097460632433925 | |
| Validation loss : 0.15389461153083378 - MAE: 0.29523900467803926 | |
| Epoch: 8 | |
| Training loss: 0.14515880703926087 - MAE: 0.286273176027938 | |
| Validation loss : 0.147861005531417 - MAE: 0.28844027291354796 | |
| Epoch: 9 | |
| Training loss: 0.14029653817415239 - MAE: 0.28160340295350267 | |
| Validation loss : 0.14637785487704807 - MAE: 0.2873688466030369 | |
| Epoch: 10 | |
| Training loss: 0.13890453785657883 - MAE: 0.2810442385311758 | |
| Validation loss : 0.14292040053341123 - MAE: 0.2837939463589256 | |
| Epoch: 11 | |
| Training loss: 0.1345929193496704 - MAE: 0.275872953965897 | |
| Validation loss : 0.13905556748310724 - MAE: 0.27963774655657037 | |
| Epoch: 12 | |
| Training loss: 0.1295833644270897 - MAE: 0.27110876597786987 | |
| Validation loss : 0.1355251603656345 - MAE: 0.2770101213092462 | |
| Epoch: 13 | |
| Training loss: 0.1274189108610153 - MAE: 0.2684765578674136 | |
| Validation loss : 0.13221086230542925 - MAE: 0.27410627784121633 | |
| Epoch: 14 | |
| Training loss: 0.12366507589817047 - MAE: 0.26547678244179274 | |
| Validation loss : 0.130373891029093 - MAE: 0.272987509139857 | |
| Epoch: 15 | |
| Training loss: 0.12050544649362564 - MAE: 0.26263898087077603 | |
| Validation loss : 0.1280003794365459 - MAE: 0.27151152230214975 | |
| Epoch: 16 | |
| Training loss: 0.1186427453160286 - MAE: 0.2603871751571516 | |
| Validation loss : 0.1257786105076472 - MAE: 0.2684120837055949 | |
| Epoch: 17 | |
| Training loss: 0.11788687527179718 - MAE: 0.2595405477120186 | |
| Validation loss : 0.12603608849975798 - MAE: 0.27011292145305277 | |
| Epoch: 18 | |
| Training loss: 0.11472303837537766 - MAE: 0.25692229361850816 | |
| Validation loss : 0.12344791657394832 - MAE: 0.267532716883637 | |
| Epoch: 19 | |
| Training loss: 0.11298846065998078 - MAE: 0.253974883891939 | |
| Validation loss : 0.12183990163935556 - MAE: 0.2654205514327857 | |
| Prediction MAE: 0.2577 | |
| Finished at: 12:29:55 | |
| Time taken: 1311 s. | |
| 0 days 0 hours 21 minutes 51 seconds | |
| Preds: [[1.4443546533584595], [1.3844043016433716], [1.5511294603347778], [1.483908772468567], [1.3519726991653442], [1.4388893842697144], [1.861624836921692], [0.9424383640289307], [1.5674792528152466], [1.1413089036941528], [1.1102317571640015], [1.2903506755828857], [1.4445836544036865], [1.2528051137924194], [1.3530070781707764], [1.5772331953048706], [0.8298392295837402], [1.5886259078979492], [1.449716567993164], [0.8786340355873108], [1.6279019117355347], [1.5879662036895752], [1.21186101436615], [1.4346975088119507], [1.3538728952407837], [1.0364147424697876], [1.4779270887374878], [1.5399726629257202], [1.1238384246826172], [1.2840017080307007], [1.5277968645095825], [0.6188191771507263], [1.86247980594635], [1.7499146461486816], [1.1897857189178467], [1.2717781066894531], [1.2885268926620483], [1.5554766654968262], [1.3592013120651245], [1.4330202341079712], [1.3819594383239746], [0.9224037528038025], [1.456875205039978], [1.332384705543518], [1.3137050867080688], 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