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Started at: 14:44:13 norbert, 0.001, 64 ({'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: 0.2648280833405678 - MAE: 0.38654277297025236 Validation loss : 0.17447485819910513 - MAE: 0.32166440664310475 Epoch: 1 Training loss: 0.16758705841170418 - MAE: 0.3107190439985688 Validation loss : 0.16586369230891718 - MAE: 0.31147915994630654 Epoch: 2 Training loss: 0.16108467580393107 - MAE: 0.3051798852143876 Validation loss : 0.16238286752592435 - MAE: 0.3066670130176498 Epoch: 3 Training loss: 0.15638263553682 - MAE: 0.3001170658910473 Validation loss : 0.16007356345653534 - MAE: 0.3008243350429231 Epoch: 4 Training loss: 0.1554628935727206 - MAE: 0.2980242989795214 Validation loss : 0.15955794534899972 - MAE: 0.29974001376824244 Epoch: 5 Training loss: 0.15560998346167382 - MAE: 0.2995785381055761 Validation loss : 0.16192996953472946 - MAE: 0.2998408455481915 Epoch: 6 Training loss: 0.15482898003826237 - MAE: 0.29804702407252404 Validation loss : 0.16333471622430917 - MAE: 0.3010208506473113 Epoch: 7 Training loss: 0.15131646688237335 - MAE: 0.29494958204356975 Validation loss : 0.1673155618887959 - MAE: 0.30431446758064595 Stopped after 7 epochs. Prediction MAE: 0.2877 Finished at: 14:44:13 Time taken: 813 s. 0 days 0 hours 13 minutes 33 seconds |