home-standard-results / oversampled_False_unfrozen_norbert2_256_1e-06_64.txt
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norbert2, 1e-06, 256
({'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: 0.30783953905105593 - MAE: 0.43719580843584505
Validation loss : 0.21560138960679373 - MAE: 0.3596361274665927
Epoch: 1
Training loss: 0.2266489964723587 - MAE: 0.3668055945655404
Validation loss : 0.2019458363453547 - MAE: 0.34808209428471554
Epoch: 2
Training loss: 0.19879530966281891 - MAE: 0.3426665569097344
Validation loss : 0.18689965373939937 - MAE: 0.3323873764788491
Epoch: 3
Training loss: 0.19044960021972657 - MAE: 0.3341355262436057
Validation loss : 0.17861351039674547 - MAE: 0.32349605653410407
Epoch: 4