File size: 3,197 Bytes
40bc4e1 49d1a15 e6f7540 99d153f a66a52a 3bf2d81 acbcbc9 5ddc352 73ebda1 9eb9e41 3e66960 415c08b dd34c4b f5addf8 e3ced2e 21b7ac4 3380ac8 e979ee4 729882f 630c680 bf72577 f6447ce aaffbbb 1ea538e 2a3b3d8 ffd699f 9114bec cf20d4f 44d8c50 64ec748 7666f27 f159125 eb056b6 9340073 9aa354d f83bd2b cd90413 eb54952 4ed8ae7 3277603 810a6f3 92c0939 c0dcb05 7e2b613 64a10f6 db53461 e171826 591edb3 53d464a 9d81ed8 6f9981b feb1f07 b96c075 8464f4b 5bc231f a6cc472 4ba15b1 f48385b 73cacb5 f2ca7ee 9ca7463 c422710 4f62269 eb48d87 e0ee183 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 |
Started at: 14:11:08 norbert2, 0.001, 512 ({'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: 0.35933828124633205 - MAE: 0.4751237658554443 Validation loss : 0.23144497871398925 - MAE: 0.3734726961030864 Epoch: 1 Training loss: 0.23247717320919037 - MAE: 0.3732509105049625 Validation loss : 0.20686508417129518 - MAE: 0.3514252349695031 Epoch: 2 Training loss: 0.2124561335031803 - MAE: 0.35437058404120675 Validation loss : 0.1896565705537796 - MAE: 0.3355357861287618 Epoch: 3 Training loss: 0.2004259446492562 - MAE: 0.33960825331495564 Validation loss : 0.1811432033777237 - MAE: 0.32659469019295384 Epoch: 4 Training loss: 0.1885477098134848 - MAE: 0.3281006162329132 Validation loss : 0.1764070361852646 - MAE: 0.32144223855301585 Epoch: 5 Training loss: 0.18467810062261727 - MAE: 0.3265258309195063 Validation loss : 0.17094221711158752 - MAE: 0.31634747500053095 Epoch: 6 Training loss: 0.17537888999168688 - MAE: 0.31988395789738044 Validation loss : 0.16810469925403596 - MAE: 0.3138018870663194 Epoch: 7 Training loss: 0.1734414536219377 - MAE: 0.3134416996838174 Validation loss : 0.16584380269050597 - MAE: 0.3113483650285477 Epoch: 8 Training loss: 0.17009368538856506 - MAE: 0.3113253722143749 Validation loss : 0.16499556303024293 - MAE: 0.31061547000081563 Epoch: 9 Training loss: 0.16696236683772162 - MAE: 0.3090170955211275 Validation loss : 0.1626953661441803 - MAE: 0.30815754798418404 Epoch: 10 Training loss: 0.16321299053155458 - MAE: 0.30656158219089447 Validation loss : 0.16109866201877593 - MAE: 0.3066560629112524 Epoch: 11 Training loss: 0.16488801974516648 - MAE: 0.30673736154366793 Validation loss : 0.1611247330904007 - MAE: 0.3061875016992714 Epoch: 12 Training loss: 0.16279753011006576 - MAE: 0.3052001668581482 Validation loss : 0.15895505845546723 - MAE: 0.3041957691400855 Epoch: 13 Training loss: 0.16205430260071388 - MAE: 0.30296354010373683 Validation loss : 0.1576485514640808 - MAE: 0.30286596250441605 Epoch: 14 Training loss: 0.15873357882866493 - MAE: 0.29913588520156115 Validation loss : 0.15669676959514617 - MAE: 0.30180299394532806 Epoch: 15 Training loss: 0.1584533154964447 - MAE: 0.2998023957789063 Validation loss : 0.15532913208007812 - MAE: 0.30010611438559937 Epoch: 16 Training loss: 0.15160657465457916 - MAE: 0.29512139346045474 Validation loss : 0.155458864569664 - MAE: 0.30031144473289956 Epoch: 17 Training loss: 0.154553166948832 - MAE: 0.2959875188179299 Validation loss : 0.15447661876678467 - MAE: 0.29856949716613224 Epoch: 18 Training loss: 0.15589827528366676 - MAE: 0.2969922193921997 Validation loss : 0.15317214727401735 - MAE: 0.29797493440552103 Epoch: 19 Training loss: 0.15659963970000929 - MAE: 0.29645999002357104 Validation loss : 0.15315419733524321 - MAE: 0.2979769588090472 Prediction MAE: 0.2823 Finished at: 14:11:08 |