| Started at: 16:42:33 | |
| norbert2, 0.001, 64 | |
| ({'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': 50104, '_commit_hash': 'f22bb47f536f62edfcd86ca9320ade990eafbe22'}, {}) | |
| Epoch: 0 | |
| Training loss: 0.23396679352630267 - MAE: 0.36809709172719646 | |
| Validation loss : 0.2051041704235655 - MAE: 0.344271905329582 | |
| Epoch: 1 | |
| Training loss: 0.17601347044862883 - MAE: 0.31801457103064673 | |
| Validation loss : 0.17097288595907617 - MAE: 0.31198182098215826 | |
| Epoch: 2 | |
| Training loss: 0.1654679064798837 - MAE: 0.3077319078236449 | |
| Validation loss : 0.16556653854521838 - MAE: 0.30692441994971376 | |
| Epoch: 3 | |
| Training loss: 0.16253817901767867 - MAE: 0.30606647005336457 | |
| Validation loss : 0.16399860449812628 - MAE: 0.30376864503593026 | |
| Epoch: 4 | |
| Training loss: 0.15459998937869313 - MAE: 0.29829892569804944 | |
| Validation loss : 0.16551078472173575 - MAE: 0.30465684222110123 | |
| Epoch: 5 | |
| Training loss: 0.15705167742991688 - MAE: 0.29957479958928274 | |
| Validation loss : 0.15921335802836853 - MAE: 0.2992412879561597 | |
| Epoch: 6 | |
| Training loss: 0.1556796274251408 - MAE: 0.298213584499331 | |
| Validation loss : 0.160054537608768 - MAE: 0.2985385847578787 | |
| Epoch: 7 | |
| Training loss: 0.15384320147109753 - MAE: 0.2976113847178801 | |
| Validation loss : 0.15325851286902573 - MAE: 0.29697666022376784 | |
| Epoch: 8 | |
| Training loss: 0.15232176303562492 - MAE: 0.2951661477439879 | |
| Validation loss : 0.15668316027431778 - MAE: 0.2951631450870871 | |
| Epoch: 9 | |
| Training loss: 0.1500442037076661 - MAE: 0.2939315468042274 | |
| Validation loss : 0.15931695473916602 - MAE: 0.29820807065440036 | |
| Epoch: 10 | |
| Training loss: 0.1502898669227807 - MAE: 0.2937852761340091 | |
| Validation loss : 0.1528170628078056 - MAE: 0.2929869784264181 | |
| Epoch: 11 | |
| Training loss: 0.14972644735767385 - MAE: 0.2936454548304151 | |
| Validation loss : 0.149495699188926 - MAE: 0.29191969764094317 | |
| Epoch: 12 | |
| Training loss: 0.1476658664719023 - MAE: 0.29071602013599546 | |
| Validation loss : 0.14979074330944003 - MAE: 0.2911997110268614 | |
| Epoch: 13 | |
| Training loss: 0.14847442575476386 - MAE: 0.2920681939055207 | |
| Validation loss : 0.15192810400868906 - MAE: 0.29221937702014605 | |
| Epoch: 14 | |
| Training loss: 0.14833704344551973 - MAE: 0.29281820318818824 | |
| Validation loss : 0.15113459956465344 - MAE: 0.29464779504494454 | |
| Epoch: 15 | |
| Training loss: 0.14842342239136647 - MAE: 0.29157139906698004 | |
| Validation loss : 0.1507583696282271 - MAE: 0.2919454584069444 | |
| Stopped after 15 epochs. | |
| Prediction MAE: 0.2761 | |
| Finished at: 16:42:33 | |
| Time taken: 2862 s. | |
| 0 days 0 hours 47 minutes 42 seconds | |
| Preds: [[1.3447093963623047], [1.5329043865203857], [1.3911831378936768], [1.4495331048965454], [1.3517661094665527], [1.4114437103271484], [1.595969796180725], [1.2392139434814453], [1.4728147983551025], [1.311727523803711], [1.2592523097991943], [1.3304935693740845], [1.6069443225860596], [1.3068997859954834], [1.1978819370269775], [1.4426624774932861], [1.2421178817749023], [1.3806443214416504], [1.4240097999572754], [1.2648041248321533], [1.4800701141357422], [1.4089897871017456], [1.4110561609268188], [1.271572470664978], [1.2786484956741333], [1.3602102994918823], [1.6992825269699097], [1.1646676063537598], [1.1310386657714844], [1.4297668933868408], [1.4214617013931274], [1.2548410892486572], [1.7035576105117798], [1.2872713804244995], [1.2340220212936401], [1.326809048652649], [1.3862391710281372], [1.487578272819519], [1.324194073677063], [1.3957319259643555], [1.339883804321289], [1.237877607345581], [1.4122430086135864], [1.4079982042312622], [1.5385754108428955], 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