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