home-standard-results / frozen_norbert2_320_0.001_512.txt
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norbert2, 0.001, 320
({'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: 0.3527084864675999 - MAE: 0.462953214037108
Validation loss : 0.26738621081624714 - MAE: 0.4117436401566978
Epoch: 1
Training loss: 0.21354530677199363 - MAE: 0.35412568088618607
Validation loss : 0.18583983182907104 - MAE: 0.3299781625243953
Epoch: 2
Training loss: 0.18886808156967164 - MAE: 0.330421134278654
Validation loss : 0.1822844914027623 - MAE: 0.33056134626981226
Epoch: 3
Training loss: 0.18264293819665908 - MAE: 0.3242538405037828
Validation loss : 0.1772120531116213 - MAE: 0.3251080552524876