File size: 2,294 Bytes
6c6684b badac7c 30796ef ebb38cb 5cafd27 3199f0d 4788861 7f83610 f3e80ca 314ea73 e9022e1 6aa6b0d 353e33c 5640ed2 fc9ea8e 0b51399 7e62cae c8d817f a9b73f7 d5b56be 911f903 adf4f16 4dda845 157399e 6a22a0b c45bba3 4657c0f 6dd313c 91fa16a e0b3043 f1141cf 6c7b1d2 af8a404 a05bc53 47a2f55 0eb97b1 3c45186 |
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 |
Started at: 10:54:58 ({'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 Started at: 11:01:22 ({'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: 0.3458641168475151 - MAE: 0.4470721267008891 Validation loss : 0.1788818021030987 - MAE: 0.32197414947064035 Epoch: 1 Training loss: 0.17300812512636185 - MAE: 0.3175820470114712 Validation loss : 0.16896727418198304 - MAE: 0.31332903775222964 Epoch: 2 Training loss: 0.1648126335442066 - MAE: 0.308156299760969 Validation loss : 0.16454754506840424 - MAE: 0.3087028804974932 Epoch: 3 Training loss: 0.1608002531528473 - MAE: 0.3038113721048132 Validation loss : 0.1621274115408168 - MAE: 0.30596198775094147 Epoch: 4 Training loss: 0.15862647637724878 - MAE: 0.3014963360894156 Validation loss : 0.16059190341654947 - MAE: 0.30361069127564794 Epoch: 5 Training loss: 0.15564483717083932 - MAE: 0.29912276695755136 Validation loss : 0.15960544479243896 - MAE: 0.3032567813495726 Epoch: 6 Training loss: 0.15132688611745834 - MAE: 0.29362002153133276 Validation loss : 0.15873736844343297 - MAE: 0.3026340556567635 Epoch: 7 Training loss: 0.15053230985999108 - MAE: 0.2936411939181263 Validation loss : 0.15721423354218989 - MAE: 0.3007017446245457 Epoch: 8 Training loss: 0.15200649231672286 - MAE: 0.29530517620818714 Validation loss : 0.1567032946383252 - MAE: 0.29992379573698985 Epoch: 9 Training loss: 0.14823424234986304 - MAE: 0.29201854833537316 Validation loss : 0.15661324560642242 - MAE: 0.3000581370785886 Epoch: 10 Training loss: 0.1488597995787859 - MAE: 0.29202925516443873 |