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Started at: 23:31:07
norbert2, 0.001, 128
({'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': 50104, '_commit_hash': 'f22bb47f536f62edfcd86ca9320ade990eafbe22'}, {})
Epoch: 0
Training loss: 0.26663439720869064 - MAE: 0.3988883059100627
Validation loss : 0.18966426481218898 - MAE: 0.3369448800337227
Epoch: 1
Training loss: 0.1841131156682968 - MAE: 0.3278432048597948
Validation loss : 0.17534208385383382 - MAE: 0.3222601691590387
Epoch: 2
Training loss: 0.16919755205512046 - MAE: 0.3150248810255783
Validation loss : 0.17205075919628143 - MAE: 0.32034478399614935
Epoch: 3
Training loss: 0.16370050594210625 - MAE: 0.30848461858803294
Validation loss : 0.16791229563600876 - MAE: 0.3158996427097044
Epoch: 4
Training loss: 0.15879319690167903 - MAE: 0.30243582822506326
Validation loss : 0.1651218849069932 - MAE: 0.3108875101513454
Epoch: 5
Training loss: 0.15427802219986916 - MAE: 0.29842854069426583
Validation loss : 0.16311591600670533 - MAE: 0.3086705140377803
Epoch: 6
Training loss: 0.1524083361774683 - MAE: 0.29523006209175195
Validation loss : 0.163714456207612 - MAE: 0.30915422006445037
Epoch: 7
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