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Started at: 13:54:54
({'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': '44815f7e109b53547cccdf3c6847f4c28b989816'}, {})
Epoch: 0
Training loss: 0.4353753740065976 - MSE: 0.4631018830797368
Validation loss : 0.14201142988167703 - MSE: 0.292727476662094
Epoch: 1
Training loss: 0.16082680688092582 - MSE: 0.3039855683631176
Validation loss : 0.14794749207794666 - MSE: 0.29952175843163786
Epoch: 2
Training loss: 0.15888278323568797 - MSE: 0.30232633269739506
Validation loss : 0.12977031315676868 - MSE: 0.2779232412353849
Epoch: 3
Training loss: 0.1516539692878723 - MSE: 0.29570308847882737
Validation loss : 0.1342183407396078 - MSE: 0.28315487688041685
Epoch: 4
Training loss: 0.14969512843771984 - MSE: 0.29376316316788137
Validation loss : 0.13651572703383863 - MSE: 0.286356273434194
Epoch: 5
Training loss: 0.14825457373732015 - MSE: 0.29236288646470276
Validation loss : 0.13325480837374926 - MSE: 0.28235259219172804
Epoch: 6
Training loss: 0.14587709978222846 - MSE: 0.29145181360233374
Validation loss : 0.14294268772937357 - MSE: 0.29422283310077546
Epoch: 7
Training loss: 0.148439571535901 - MSE: 0.29440375310883926
Validation loss : 0.14034398854710162 - MSE: 0.2907182476260459
Epoch: 8
Training loss: 0.14813685872052845 - MSE: 0.2931949322407332
Validation loss : 0.12979571800678968 - MSE: 0.2782447249405777
Epoch: 9
Training loss: 0.14627560220266644 - MSE: 0.2917503264555033
Validation loss : 0.1504771877080202 - MSE: 0.30260855387996344
Epoch: 10
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