Started at: 09:34:59
({'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: 0.2585337805747986 - MAE: 0.38279115465111807
Validation loss : 0.18693401357706854 - MAE: 0.32627507198099653
Epoch: 1
Training loss: 0.17671544753015042 - MAE: 0.32396273749384324
Validation loss : 0.17037733468939276 - MAE: 0.3098056282989743
Epoch: 2
Training loss: 0.16480902343988418 - MAE: 0.3091747069204052
Validation loss : 0.16247563765329473 - MAE: 0.3076574986459184
Epoch: 3
Training loss: 0.1621853716671467 - MAE: 0.3079123261976757
Validation loss : 0.1611883876954808 - MAE: 0.30662997463135244
Epoch: 4
Training loss: 0.16299909025430678 - MAE: 0.30792222354467574
Validation loss : 0.16009573243996678 - MAE: 0.30295909992052156
Epoch: 5
Training loss: 0.17321647956967354 - MAE: 0.31886645402458474
Validation loss : 0.15842252882087932 - MAE: 0.2998668144970971
Epoch: 6
Training loss: 0.17966097056865693 - MAE: 0.32710317373964737
Validation loss : 0.15806011504986706 - MAE: 0.3012486715572614
Epoch: 7