home-standard-results / oversampled_True_unfrozen_norbert_128_1e-06_128.txt
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norbert, 1e-06, 128
({'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: 0.7460856667973779 - MAE: 0.6937262853295475
Validation loss : 0.44463845926362117 - MAE: 0.5404389452025509
Epoch: 1
Training loss: 0.42787456051869827 - MAE: 0.5316044299587891
Validation loss : 0.4109697841309212 - MAE: 0.5172857106468047
Epoch: 2
Training loss: 0.3988200171427293 - MAE: 0.5103238186167652
Validation loss : 0.38310027605778463 - MAE: 0.49533129267688575
Epoch: 3
Training loss: 0.3718023626641794 - MAE: 0.4883303679176176
Validation loss : 0.35466546625704376 - MAE: 0.4719971885902407
Epoch: 4
Training loss: 0.34883382564241233 - MAE: 0.4694786853187755
Validation loss : 0.3274613445675051 - MAE: 0.4497400936882447
Epoch: 5
Training loss: 0.32371379624713553 - MAE: 0.45055896282082925
Validation loss : 0.3024664642037572 - MAE: 0.43046571174501985
Epoch: 6
Training loss: 0.298250751061873 - MAE: 0.4311035397705723
Validation loss : 0.28173082583659403 - MAE: 0.4146433680641701
Epoch: 7
Training loss: 0.27592497847296976 - MAE: 0.4124746433320494
Validation loss : 0.2617965574200089 - MAE: 0.398852922643977
Epoch: 8
Training loss: 0.25866106680848383 - MAE: 0.3997834659180525
Validation loss : 0.24574068228940707 - MAE: 0.3877418061586343