06-05-2023_norbert_batchsize_256_all_units_0.0001_1_200_freeze_True_earlystop_3.txt

Started at: 17:01:49
({'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
Started at: 17:03:05
({'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'}, {})
Started at: 17:03:18
({'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: 1.5561567282676696 - MAE: 1.1770511100698875
Validation loss : 0.939958651860555 - MAE: 0.8876047142856601
Epoch: 1
Training loss: 0.6363586246967315 - MAE: 0.6928943697649724
Validation loss : 0.33423560195498997 - MAE: 0.45375851608477785
Epoch: 2
Training loss: 0.2759279823303223 - MAE: 0.4052092643476477
Validation loss : 0.20369169281588662 - MAE: 0.3433357920074413
Epoch: 3
Training loss: 0.20272068321704864 - MAE: 0.3399617345503301
Validation loss : 0.19545602964030373 - MAE: 0.3416856898288076
Epoch: 4
Training loss: 0.1912100625038147 - MAE: 0.3326939730215834
Validation loss : 0.19473741783036125 - MAE: 0.3417824430892937
Epoch: 5
Training loss: 0.19083771824836732 - MAE: 0.33137282498844967
Validation loss : 0.19215407967567444 - MAE: 0.33912431491105655
Epoch: 6
Training loss: 0.18923945665359498 - MAE: 0.33146465315973606
Validation loss : 0.18989400565624237 - MAE: 0.33674625605103725
Epoch: 7
Training loss: 0.18950583219528197 - MAE: 0.33087934479225867
Validation loss : 0.18789740900198618 - MAE: 0.33464578460452915