File size: 2,586 Bytes
b90e2a6 36d6c19 180e27a d21c1de 233804b 8c42b15 baa5549 5a35f31 725419d b373c9d 636d532 90acfea 396896d 8ab3946 38990b4 6d19545 4048ef7 08d5397 b7c0dbb 0851144 d5f6027 55d669f d9514e2 7dfaef5 25a3ed1 d4aef87 7b6dbcf 2889ea8 a051a8f 7b199fd d2a9ebf bf0d959 efd4014 7d3a7e6 2b5c2f1 6743094 ed09421 8e3f40c 9f11cb3 318b226 da4560c 0a1fef0 1aba117 ce1a1b5 60c42e6 3b6a81f b781ec0 282fb27 4a25886 d1c4e87 |
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 |
Started at: 13:54:30 ({'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': 'afb829e3d0b861bd5f8cda6522b32ca0b097d7eb'}, {}) Epoch: 0 Training loss: 0.19169998451283105 - MSE: 0.3224822171590252 Validation loss : 0.1545075431931764 - MSE: 0.30456596715475825 Epoch: 1 Training loss: 0.16974398517294934 - MSE: 0.3103326546437019 Validation loss : 0.15334105514921248 - MSE: 0.3032539253831601 Epoch: 2 Training loss: 0.16987535333947132 - MSE: 0.3104551468798216 Validation loss : 0.15374588128179312 - MSE: 0.30371004876315055 Epoch: 3 Training loss: 0.16981600977872546 - MSE: 0.31038815772414813 Validation loss : 0.15414767409674823 - MSE: 0.3041637827186605 Epoch: 4 Training loss: 0.16997354869779788 - MSE: 0.3106644945154869 Validation loss : 0.15224769292399287 - MSE: 0.30202376234910844 Epoch: 5 Training loss: 0.17002245697535967 - MSE: 0.3105952131827796 Validation loss : 0.15425994875840843 - MSE: 0.3042897454938611 Epoch: 6 Training loss: 0.1700476981307331 - MSE: 0.310650163816472 Validation loss : 0.15435221185907722 - MSE: 0.3043926291643402 Epoch: 7 Training loss: 0.16941748441834198 - MSE: 0.31001210870889107 Validation loss : 0.1539384766947478 - MSE: 0.30392832597817687 Epoch: 8 Training loss: 0.16997813641240722 - MSE: 0.3105949710586207 Validation loss : 0.15462648100219667 - MSE: 0.30469803253754435 Epoch: 9 Training loss: 0.17010739684889192 - MSE: 0.31050279334273895 Validation loss : 0.155730452388525 - MSE: 0.30595527761715857 Epoch: 10 Training loss: 0.17010818978673534 - MSE: 0.31067252789705496 Validation loss : 0.15445392183028162 - MSE: 0.3045059578503242 Epoch: 11 Training loss: 0.1698176296133744 - MSE: 0.3104176910766342 Validation loss : 0.1544747839216143 - MSE: 0.30452919958725033 Epoch: 12 Training loss: 0.16994338412033885 - MSE: 0.3105494737531266 Validation loss : 0.15396608458831906 - MSE: 0.30395947231545506 Epoch: 13 Training loss: 0.1698948621357742 - MSE: 0.3105059461998054 Validation loss : 0.1545115364715457 - MSE: 0.3045701227160862 Epoch: 14 Training loss: 0.1699589282666382 - MSE: 0.31056594253224645 Validation loss : 0.1545204329304397 - MSE: 0.304580016388627 Epoch: 15 Training loss: 0.16995860153907225 - MSE: 0.3105668987295108 Validation loss : 0.15452667814679444 - MSE: 0.3045869592820054 |