home-standard-results / oversample_best_model_0.001_norbert2_64_128.txt
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Started at: 14:26:40
norbert2, lr: 0.001, bs: 64, ml: 128, oversample: True, frozen: True
({'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: 0.39440356411717153 - MAE: 0.4971354596346394
Validation loss : 0.32492876113266556 - MAE: 0.4534585055718017
Epoch: 1
Training loss: 0.33314542391083457 - MAE: 0.455602030669641
Validation loss : 0.2979909161458144 - MAE: 0.4315227983086151
Epoch: 2
Training loss: 0.3158472101796757 - MAE: 0.4432502739320996
Validation loss : 0.2894514768912986 - MAE: 0.4242474938143701
Epoch: 3
Training loss: 0.31208297942172397 - MAE: 0.4397902424457352
Validation loss : 0.2838319517873429 - MAE: 0.4195369902266576
Epoch: 4
Training loss: 0.3086520475420085 - MAE: 0.4381285378359494
Validation loss : 0.27975987884643916 - MAE: 0.4152840711074775
Epoch: 5
Training loss: 0.3013654185967012 - MAE: 0.43316218218825314
Validation loss : 0.27975639962666743 - MAE: 0.4159613319364474
Epoch: 6
Training loss: 0.3047610109502619 - MAE: 0.43653930742840996
Validation loss : 0.2725346680428531 - MAE: 0.4117532667338752
Epoch: 7
Training loss: 0.3039557449519634 - MAE: 0.4366496161192299
Validation loss : 0.2769465939821424 - MAE: 0.4155679326362131
Epoch: 8
Training loss: 0.301919690113176 - MAE: 0.435135107430027
Validation loss : 0.2720722817891353 - MAE: 0.41279992312753594
Epoch: 9
Training loss: 0.3001969833942977 - MAE: 0.43299939358158784
Validation loss : 0.277424343534418 - MAE: 0.4157348397258022
Stopped after 9 epochs.
Prediction MAE: 0.4089
Finished at: 14:26:40
Time taken: 2018 s.