File size: 3,161 Bytes
6b20fea 91d3c4f 91efc17 ef580f7 92292a7 3dee2b5 d551477 3310b89 4374822 0a99809 c08029b 95f0605 e5de98c eaf0065 3462595 6d6c737 cf18a20 6967b5f 6090831 f711d90 c1cf707 b5fb028 1bab483 72c7b62 2be8947 55b05a8 09d65b7 5b6271e 66ee555 ef8950a 2ed5a8b f0840ad 0f3dada 5e3cb2c 4fe2502 ac00c25 8f8209b 5f3da25 93c6e15 9748582 7503c41 70696fb bd18619 45cab2b c0a2a8b 6691b02 441afda db3af4d 1736d2e 22fa3ac 973bf23 8b18b1a 7eb6924 7726b31 161d448 4b00061 794523d 3cb549d d97a68c b1ac47d ec50b9e 6c2582e 00f1564 762ac6a |
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 |
Started at: 14:17:48 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: 1.3330334556102752 - MAE: 1.0653747688382613 Validation loss : 0.5231347481409708 - MAE: 0.6171697097292664 Epoch: 1 Training loss: 0.3128315532207489 - MAE: 0.43671153662223156 Validation loss : 0.20432966450850168 - MAE: 0.34596581908071156 Epoch: 2 Training loss: 0.19540926158428193 - MAE: 0.33617642239605205 Validation loss : 0.21281807786888546 - MAE: 0.3575687279224856 Epoch: 3 Training loss: 0.1932804489135742 - MAE: 0.33425226542978514 Validation loss : 0.2000986999935574 - MAE: 0.3447082118806135 Epoch: 4 Training loss: 0.18802032589912415 - MAE: 0.3281110312098591 Validation loss : 0.19574010372161865 - MAE: 0.3395373068060569 Epoch: 5 Training loss: 0.18469770431518553 - MAE: 0.3241541854128732 Validation loss : 0.1924436373843087 - MAE: 0.33688439139205867 Epoch: 6 Training loss: 0.1818109393119812 - MAE: 0.32240801661175444 Validation loss : 0.19014660186237758 - MAE: 0.33599573152960993 Epoch: 7 Training loss: 0.17917088508605958 - MAE: 0.3201692401415248 Validation loss : 0.18607674207952288 - MAE: 0.3306027206484211 Epoch: 8 Training loss: 0.17679700374603272 - MAE: 0.3176190476490989 Validation loss : 0.18504294256369272 - MAE: 0.33000827389053045 Epoch: 9 Training loss: 0.17402234852313994 - MAE: 0.3150488911109403 Validation loss : 0.18120352096027798 - MAE: 0.3246608110068889 Epoch: 10 Training loss: 0.173046532869339 - MAE: 0.3148196289814468 Validation loss : 0.17906600568029615 - MAE: 0.3237311143142642 Epoch: 11 Training loss: 0.1705036473274231 - MAE: 0.3112107218650756 Validation loss : 0.1760163108507792 - MAE: 0.3198911185599855 Epoch: 12 Training loss: 0.1678083872795105 - MAE: 0.3088459379403741 Validation loss : 0.17386506497859955 - MAE: 0.31714384692713377 Epoch: 13 Training loss: 0.16735825181007385 - MAE: 0.30842220163044853 Validation loss : 0.1721103141705195 - MAE: 0.3159097267488672 Epoch: 14 Training loss: 0.1652207288146019 - MAE: 0.3054954983859297 Validation loss : 0.17092538542217678 - MAE: 0.3142484988727579 Epoch: 15 Training loss: 0.16237905770540237 - MAE: 0.3039998422759211 Validation loss : 0.16934122807449764 - MAE: 0.3120851409503983 Epoch: 16 Training loss: 0.1619192498922348 - MAE: 0.30333253457530457 Validation loss : 0.16680956383546194 - MAE: 0.3094736144975825 Epoch: 17 Training loss: 0.1613722950220108 - MAE: 0.3026871873525974 Validation loss : 0.16573732097943625 - MAE: 0.3083839718422077 Epoch: 18 Training loss: 0.160523963868618 - MAE: 0.3018826613056862 Validation loss : 0.16510427991549173 - MAE: 0.30733596125990065 Epoch: 19 Training loss: 0.159045991897583 - MAE: 0.2991104721987654 Validation loss : 0.16246195799774593 - MAE: 0.3037374353461474 Prediction MAE: 0.2955 |