Started at: 02:42:02
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: 0.2634247455633048 - MAE: 0.3842018233436289
Validation loss : 0.17035107201699054 - MAE: 0.31643343197158463
Epoch: 1
Training loss: 0.16457284859033547 - MAE: 0.30800794683295596
Validation loss : 0.16583680993679797 - MAE: 0.31212299053029896
Epoch: 2
Training loss: 0.1579597079091602 - MAE: 0.30166788630356406
Validation loss : 0.1607545925812288 - MAE: 0.303013655434664
Epoch: 3
Training loss: 0.1569371046216199 - MAE: 0.29963243181220367
Validation loss : 0.15891670458244556 - MAE: 0.2998951177319149
Epoch: 4
Training loss: 0.15272462823324734 - MAE: 0.2951459849588456
Validation loss : 0.16017244056318747 - MAE: 0.2994609839455915
Epoch: 5
Training loss: 0.15356258686744806 - MAE: 0.29654242490587596
Validation loss : 0.16203546794978055 - MAE: 0.30039197979646654
Epoch: 6
Training loss: 0.15247906134887176 - MAE: 0.29603346552607473