home-standard-results / frozen_norbert2_512_0.001_128.txt
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norbert2, 0.001, 512
({'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: 0.35933828124633205 - MAE: 0.4751237658554443
Validation loss : 0.23144497871398925 - MAE: 0.3734726961030864
Epoch: 1
Training loss: 0.23247717320919037 - MAE: 0.3732509105049625
Validation loss : 0.20686508417129518 - MAE: 0.3514252349695031
Epoch: 2
Training loss: 0.2124561335031803 - MAE: 0.35437058404120675
Validation loss : 0.1896565705537796 - MAE: 0.3355357861287618