home-standard-results / 12-04-2023-11:39:57_norbert_all_units_0.006_1_50_freeze_False.txt
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({'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': '075d4e3705390691013e859faffc5696d071e33b'}, {})
Epoch: 0
Training loss: 0.2487574193040429 - MSE: 0.36417208558066866
Validation loss : 0.17720953657320052 - MSE: 0.324517725567173
Epoch: 1
Training loss: 0.17969225880306988 - MSE: 0.32316235001284466
Validation loss : 0.18277007442983714 - MSE: 0.32265740191792125
Epoch: 2
Training loss: 0.18366406324702472 - MSE: 0.32790626373068626
Validation loss : 0.176965011904637 - MSE: 0.32382223638952334
Epoch: 3
Training loss: 0.18670494069680948 - MSE: 0.3299349662450387
Validation loss : 0.17702526836232704 - MSE: 0.3240165099565265
Epoch: 4
Training loss: 0.20028187222967897 - MSE: 0.3438661170711591
Validation loss : 0.176956477603226 - MSE: 0.3220238222141861
Epoch: 5
Training loss: 0.18425696651418197 - MSE: 0.3284598663449472
Validation loss : 0.17923579692389024 - MSE: 0.3213620647532961
Epoch: 6