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Started at: 06:25:02 |
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norbert2, 0.001, 128 |
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({'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'}, {}) |
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Epoch: 0 |
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Training loss: 0.26594408303499223 - MAE: 0.3978314918997288 |
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Validation loss : 0.19398287113975077 - MAE: 0.34193473061730845 |
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Epoch: 1 |
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Training loss: 0.1824344827234745 - MAE: 0.3272282950583859 |
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Validation loss : 0.18646611360942617 - MAE: 0.3356285057272865 |
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Epoch: 2 |
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Training loss: 0.1719924859702587 - MAE: 0.31573345724688817 |
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Validation loss : 0.17564336341970108 - MAE: 0.3236708021458511 |
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Epoch: 3 |
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Training loss: 0.16539704591035842 - MAE: 0.30983962574381724 |
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Validation loss : 0.16587493612485774 - MAE: 0.3130272370269703 |
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Epoch: 4 |
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Training loss: 0.1597985264658928 - MAE: 0.30454135879504085 |
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Validation loss : 0.1627409287235316 - MAE: 0.30946326864776774 |
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Epoch: 5 |
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Training loss: 0.153805871643126 - MAE: 0.29754943904831743 |
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Validation loss : 0.16067567380035624 - MAE: 0.3053273121402249 |
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Epoch: 6 |
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Training loss: 0.15524272337555886 - MAE: 0.29936721330158883 |
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Validation loss : 0.16136379583793528 - MAE: 0.30574541067519767 |
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Epoch: 7 |
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Training loss: 0.15196644343435764 - MAE: 0.29472622361245104 |
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Validation loss : 0.1603953365017386 - MAE: 0.3040597750065931 |
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Epoch: 8 |
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Training loss: 0.1517229761183262 - MAE: 0.2955280447325332 |
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Validation loss : 0.15818107917028315 - MAE: 0.30266661202354717 |
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Epoch: 9 |
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Training loss: 0.14952938295900822 - MAE: 0.2923810918291241 |
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Validation loss : 0.15911468775833354 - MAE: 0.30159275869333224 |
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Epoch: 10 |
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Training loss: 0.1476191408187151 - MAE: 0.29077664893054256 |
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Validation loss : 0.16191191182417028 - MAE: 0.3025654413929292 |
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Epoch: 11 |
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Training loss: 0.14881269738078118 - MAE: 0.29319386249020507 |
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Validation loss : 0.15962355101809783 - MAE: 0.30117699112236357 |
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Epoch: 12 |
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Training loss: 0.1451718310266733 - MAE: 0.28961566673102823 |
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Validation loss : 0.16168749376254923 - MAE: 0.30352713335972603 |
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Epoch: 13 |
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Training loss: 0.14698604956269265 - MAE: 0.2906234678272731 |
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Validation loss : 0.15626758424674764 - MAE: 0.29897112160121386 |
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Epoch: 14 |
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Training loss: 0.14597914703190326 - MAE: 0.28922028553247936 |
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Validation loss : 0.15734932308687882 - MAE: 0.2993024581905405 |
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Epoch: 15 |
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Training loss: 0.14458707965910433 - MAE: 0.28938238036868486 |
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Validation loss : 0.15550065084415324 - MAE: 0.2983666009213386 |
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Epoch: 16 |
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Training loss: 0.14110681734979152 - MAE: 0.28533432098623634 |
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Validation loss : 0.15919765786213033 - MAE: 0.30024035211239647 |
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Epoch: 17 |
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Training loss: 0.14310951068997382 - MAE: 0.28745595708379906 |
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Validation loss : 0.15783944725990295 - MAE: 0.29992384890455215 |
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Epoch: 18 |
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Training loss: 0.1446580657362938 - MAE: 0.28868237525074897 |
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Validation loss : 0.16268177681109486 - MAE: 0.30412164842750955 |
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Stopped after 18 epochs. |
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Prediction MAE: 0.2879 |
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Finished at: 06:25:02 |
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Time taken: 1440 s. |
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0 days 0 hours 24 minutes 0 seconds |
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Preds: [[1.2197574377059937], [1.5465143918991089], [1.4324350357055664], [1.4426456689834595], [1.304768443107605], [1.3246694803237915], [1.6017346382141113], [1.2635551691055298], [1.4578185081481934], [1.1374024152755737], [1.0694648027420044], [1.1984270811080933], [1.5780339241027832], [1.160218596458435], [1.2560425996780396], [1.2933552265167236], [1.1311875581741333], [1.4965095520019531], [1.2905975580215454], [1.04111647605896], [1.5096863508224487], [1.3880876302719116], [1.4153395891189575], [1.3098137378692627], [1.2769593000411987], [1.3165355920791626], [1.7683260440826416], [1.016555666923523], [1.1497093439102173], [1.4972251653671265], [1.481218934059143], [1.2824560403823853], [1.6278239488601685], [1.23359215259552], [1.1808148622512817], [1.4361764192581177], [1.332389235496521], [1.4093502759933472], [1.2692028284072876], [1.4846537113189697], [1.1835078001022339], [1.2008417844772339], [1.3914355039596558], [1.4457918405532837], [1.5263056755065918], 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