File size: 1,654 Bytes
e755955 2e0de5e 4da42a0 e7f0d63 da34eac c9771b0 2d7844c 0fa1389 affaa05 9b48316 ba886b3 12673a6 4d69215 da313da c08d3fd ae1f654 24a15d0 4a652d9 42d8487 6a41cb3 79c333f f6ebb77 2d383ce 5c08129 82e6649 e1a0385 c113fde 0b7a837 10d8d41 59b17cb |
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 |
Started at: 11:50:08 ({'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 |