01-05-2023_norbert2_removedsome_batchsize_256_all_units_0.001_1_50_freeze_True.txt

Started at: 14:58:07
({'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: 0.7675554938614368 - MAE: 0.7218268842869793
Validation loss : 0.5840958555539449 - MAE: 0.5827894046582064
Epoch: 1
Training loss: 0.49415092915296555 - MAE: 0.5986839248419658
Validation loss : 0.4720619022846222 - MAE: 0.585200722348146
Epoch: 2
Training loss: 0.4484046511352062 - MAE: 0.554433520788571
Validation loss : 0.4777786135673523 - MAE: 0.5403046027523047
Epoch: 3
Training loss: 0.415366031229496 - MAE: 0.5435317536295668
Validation loss : 0.42990968624750775 - MAE: 0.5419536063906305
Epoch: 4
Training loss: 0.39412142150104046 - MAE: 0.5245434911285064
Validation loss : 0.4350344041983287 - MAE: 0.5241025617347218
Epoch: 5
Training loss: 0.38853260688483715 - MAE: 0.5237674086717746
Validation loss : 0.4117620090643565 - MAE: 0.5211508578778722
Epoch: 6
Training loss: 0.3667535427957773 - MAE: 0.5072329589138348
Validation loss : 0.40754977862040204 - MAE: 0.5151992849713838
Epoch: 7
Training loss: 0.3623247407376766 - MAE: 0.5045013681358567
Validation loss : 0.4099322458108266 - MAE: 0.5114030400583374
Epoch: 8
Training loss: 0.3549719639122486 - MAE: 0.4960748857304838
Validation loss : 0.3965168197949727 - MAE: 0.5095656718918984
Epoch: 9
Training loss: 0.35677218809723854 - MAE: 0.4991656174770718
Validation loss : 0.3989155093828837 - MAE: 0.504121969526425
Epoch: 10
Training loss: 0.35797534696757793 - MAE: 0.4965052647383213
Validation loss : 0.3919292589028676 - MAE: 0.5021860128100027
Epoch: 11
Training loss: 0.3498771656304598 - MAE: 0.4923322100425394
Validation loss : 0.3922814130783081 - MAE: 0.49962354808867465
Epoch: 12
Training loss: 0.35045805759727955 - MAE: 0.49545303288574233
Validation loss : 0.38426289955774945 - MAE: 0.4981140455265725
Epoch: 13
Training loss: 0.34572333469986916 - MAE: 0.4875545829879762
Validation loss : 0.3801858226458232 - MAE: 0.49636689515641264
Epoch: 14
Training loss: 0.33835710026323795 - MAE: 0.4836895945561605
Validation loss : 0.3836107651392619 - MAE: 0.49250687287180367
Epoch: 15
Training loss: 0.3261668477207422 - MAE: 0.47392514293900473
Validation loss : 0.37519946694374084 - MAE: 0.49084831912535476
Epoch: 16
Training loss: 0.3351526018232107 - MAE: 0.4787258875098658
Validation loss : 0.37367749214172363 - MAE: 0.48954017311969195
Epoch: 17
Training loss: 0.3310759160667658 - MAE: 0.4774447066315486