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Started at: 12:14:32
norbert2, 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': 50104, '_commit_hash': 'f22bb47f536f62edfcd86ca9320ade990eafbe22'}, {})
Epoch: 0
Training loss: 0.2346923259472606 - MAE: 0.3705308435463924
Validation loss : 0.19074462873466086 - MAE: 0.3313150927797273
Epoch: 1
Training loss: 0.17915461460749307 - MAE: 0.32204418629646675
Validation loss : 0.1686817996881225 - MAE: 0.3079816741843133
Epoch: 2
Training loss: 0.16708625108003616 - MAE: 0.3104278141877798
Validation loss : 0.15879175066947937 - MAE: 0.29951784275998267
Epoch: 3
Training loss: 0.1608594950250905 - MAE: 0.3030867682949858
Validation loss : 0.1521104287469026 - MAE: 0.29517622301587365
Epoch: 4
Training loss: 0.15881932037647326 - MAE: 0.3016115035604243
Validation loss : 0.151956861669367 - MAE: 0.2931966101881672
Epoch: 5
Training loss: 0.15447019379247318 - MAE: 0.29864073465130664
Validation loss : 0.14964995217142682 - MAE: 0.29184392887804894
Epoch: 6
Training loss: 0.1534611372785135 - MAE: 0.2953557769595899
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