Started at: 13:38:19
({'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
Started at: 13:39:29
({'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
Started at: 13:41:56
({'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: 0.4006912616583017 - MAE: 0.505064727315284
Validation loss : 0.309359085559845 - MAE: 0.44078509929430004
Epoch: 1
Training loss: 0.250718348301374 - MAE: 0.3922167896234202
Validation loss : 0.1936800718307495 - MAE: 0.33703642252306854
Epoch: 2
Training loss: 0.21618989912363198 - MAE: 0.3581347894767805
Validation loss : 0.18340231478214264 - MAE: 0.33186761275995064
Epoch: 3
Training loss: 0.19920441508293152 - MAE: 0.3401495898235937
Validation loss : 0.1788225769996643 - MAE: 0.32578763746292233
Epoch: 4
Training loss: 0.1918170922077619 - MAE: 0.33396066058861956
Validation loss : 0.17603523135185242 - MAE: 0.32383651430230814
Epoch: 5
Training loss: 0.18379446978752428 - MAE: 0.3262024097906551
Validation loss : 0.17055903375148773 - MAE: 0.31736346780813546
Epoch: 6
Training loss: 0.18060297461656424 - MAE: 0.3232976047514557
Validation loss : 0.16787597239017488 - MAE: 0.3139610728375986
Epoch: 7
Training loss: 0.17637471740062421 - MAE: 0.3190542525274511
Validation loss : 0.1664418339729309 - MAE: 0.3116923743658102