home-standard-results / 01-05-2023_norbert2_batchsize_256_all_units_0.001_1_50_freeze_True.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': 50104, '_commit_hash': 'f22bb47f536f62edfcd86ca9320ade990eafbe22'}, {})
Epoch: 0
Training loss: 0.3279145807027817 - MAE: 0.444945235064175
Validation loss : 0.1893769223242998 - MAE: 0.3301353411566738
Epoch: 1
Training loss: 0.20355157119532427 - MAE: 0.34439105121124475
Validation loss : 0.18106168322265148 - MAE: 0.3243998461684499
Epoch: 2
Training loss: 0.18309462815523148 - MAE: 0.3265442110482052