08-05-2023_norbert_batchsize_128_all_units_0.0005_1_200_freeze_True_earlystop_3.txt

Started at: 10:46:39
({'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: 0.4224580281972885 - MAE: 0.49800078344951854
Validation loss : 0.18566939760656917 - MAE: 0.32860604518901193
Epoch: 1
Training loss: 0.18062527552247049 - MAE: 0.3249083793427436
Validation loss : 0.17773295325391433 - MAE: 0.32505375557728605
Epoch: 2
Training loss: 0.17239214196801186 - MAE: 0.3161783884766083
Validation loss : 0.1721238993546542 - MAE: 0.31926727109425135
Epoch: 3
Training loss: 0.16808241829276085 - MAE: 0.3116257252131245
Validation loss : 0.16848680245525696 - MAE: 0.31521207737718204
Epoch: 4
Training loss: 0.16556511253118514 - MAE: 0.30872840319635675
Validation loss : 0.16570698601358078 - MAE: 0.31138876910079605
Epoch: 5
Training loss: 0.16236369609832763 - MAE: 0.3063052400904153
Validation loss : 0.16389068610527935 - MAE: 0.30842703017799394
Epoch: 6
Training loss: 0.15821502283215522 - MAE: 0.3002932636657733
Validation loss : 0.16259106204790227 - MAE: 0.3064878174082187
Epoch: 7
Training loss: 0.15610535070300102 - MAE: 0.29970597196416643
Validation loss : 0.16118212920777938 - MAE: 0.30487487035579575
Epoch: 8