frozen_nb-bert-base_128_0.001_256.txt

Started at: 12:15:47
nb-bert-base, 0.001, 128
({'_name_or_path': '/disk4/folder1/working/checkpoints/huggingface/native_pytorch/step4_8/', 'attention_probs_dropout_prob': 0.1, 'directionality': 'bidi', 'gradient_checkpointing': False, 'hidden_act': 'gelu', 'hidden_dropout_prob': 0.1, 'hidden_size': 768, 'initializer_range': 0.02, 'intermediate_size': 3072, 'layer_norm_eps': 1e-12, 'max_position_embeddings': 512, 'model_type': 'bert', 'num_attention_heads': 12, 'num_hidden_layers': 12, 'pad_token_id': 0, 'pooler_fc_size': 768, 'pooler_num_attention_heads': 12, 'pooler_num_fc_layers': 3, 'pooler_size_per_head': 128, 'pooler_type': 'first_token_transform', 'position_embedding_type': 'absolute', 'type_vocab_size': 2, 'vocab_size': 119547, '_commit_hash': '82b194c0b3ea1fcad65f1eceee04adb26f9f71ac'}, {})
Epoch: 0
Training loss: 0.31982501298189164 - MAE: 0.4287338867738713
Validation loss : 0.16746729612350464 - MAE: 0.31536104399438897
Epoch: 1
Training loss: 0.16691179797053338 - MAE: 0.3121238207010245
Validation loss : 0.15773158739594853 - MAE: 0.3046954138541735
Epoch: 2
Training loss: 0.15689186841249467 - MAE: 0.3008464796601783
Validation loss : 0.15233191146570094 - MAE: 0.29779621490764496
Epoch: 3
Training loss: 0.15314741998910905 - MAE: 0.296528327871902
Validation loss : 0.1497987894450917 - MAE: 0.29459793118874833
Epoch: 4
Training loss: 0.14834036141633988 - MAE: 0.2910206240007747
Validation loss : 0.1474542622180546 - MAE: 0.2915430406480437
Epoch: 5
Training loss: 0.14879375964403152 - MAE: 0.2913913004246226
Validation loss : 0.14557460432543473 - MAE: 0.2891730110373066
Epoch: 6
Training loss: 0.14662521675229073 - MAE: 0.2886886095421301
Validation loss : 0.14476492475060856 - MAE: 0.28795673596095495
Epoch: 7
Training loss: 0.14347930431365966 - MAE: 0.2869532495194668
Validation loss : 0.1444830390460351 - MAE: 0.2884910243549571
Epoch: 8
Training loss: 0.14114041782915593 - MAE: 0.2831716332297515
Validation loss : 0.14459675462806926 - MAE: 0.28917789765778673
Epoch: 9
Training loss: 0.1433439274132252 - MAE: 0.2865429012477346
Validation loss : 0.14251315286930868 - MAE: 0.2853422469518363
Epoch: 10
Training loss: 0.1406331904232502 - MAE: 0.28132702192119613
Validation loss : 0.14170135689132354 - MAE: 0.2838292713935197
Epoch: 11
Training loss: 0.14126647457480432 - MAE: 0.28410774431585517
Validation loss : 0.1421863292069996 - MAE: 0.2853570444611879
Epoch: 12
Training loss: 0.13998315826058388 - MAE: 0.282938143440139
Validation loss : 0.1432714159874355 - MAE: 0.2874122980672003
Epoch: 13
Training loss: 0.1395747384428978 - MAE: 0.2831718714019129
Validation loss : 0.14076389372348785 - MAE: 0.283541297177118
Epoch: 14
Training loss: 0.139395814538002 - MAE: 0.2820615278357802
Validation loss : 0.14124228147899404 - MAE: 0.2840655921472793
Epoch: 15
Training loss: 0.13893909364938736 - MAE: 0.2813219249611208
Validation loss : 0.14090614897363327 - MAE: 0.28337267339203553
Epoch: 16
Training loss: 0.13667221195995807 - MAE: 0.2798708262184894
Validation loss : 0.1410018792923759 - MAE: 0.28405206558857765
Epoch: 17
Training loss: 0.1390529003739357 - MAE: 0.28176773374578945
Validation loss : 0.14025050270206788 - MAE: 0.28225801732557393
Epoch: 18
Training loss: 0.1358387277275324 - MAE: 0.27852191472518834
Validation loss : 0.1396678024355103 - MAE: 0.28191398133286427
Epoch: 19
Training loss: 0.13712105110287667 - MAE: 0.2798398863373334
Validation loss : 0.1394385651630514 - MAE: 0.28165905956401077
Prediction MAE: 0.2700
Finished at: 12:15:47
Time taken: 3282 s.
0 days 0 hours 54 minutes 42 seconds

 
 

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Started at: 14:45:45
nb-bert-base, 0.001, 128
({'_name_or_path': '/disk4/folder1/working/checkpoints/huggingface/native_pytorch/step4_8/', 'attention_probs_dropout_prob': 0.1, 'directionality': 'bidi', 'gradient_checkpointing': False, 'hidden_act': 'gelu', 'hidden_dropout_prob': 0.1, 'hidden_size': 768, 'initializer_range': 0.02, 'intermediate_size': 3072, 'layer_norm_eps': 1e-12, 'max_position_embeddings': 512, 'model_type': 'bert', 'num_attention_heads': 12, 'num_hidden_layers': 12, 'pad_token_id': 0, 'pooler_fc_size': 768, 'pooler_num_attention_heads': 12, 'pooler_num_fc_layers': 3, 'pooler_size_per_head': 128, 'pooler_type': 'first_token_transform', 'position_embedding_type': 'absolute', 'type_vocab_size': 2, 'vocab_size': 119547, '_commit_hash': '82b194c0b3ea1fcad65f1eceee04adb26f9f71ac'}, {})
Epoch: 0
Training loss: 0.31982501298189164 - MAE: 0.4287338867738713
Validation loss : 0.16746729612350464 - MAE: 0.31536104399438897
Epoch: 1
Training loss: 0.16691179797053338 - MAE: 0.3121238207010245
Validation loss : 0.15773158739594853 - MAE: 0.3046954138541735
Epoch: 2
Training loss: 0.15689186841249467 - MAE: 0.3008464796601783
Validation loss : 0.15233191146570094 - MAE: 0.29779621490764496
Epoch: 3
Training loss: 0.15314741998910905 - MAE: 0.296528327871902
Validation loss : 0.1497987894450917 - MAE: 0.29459793118874833
Epoch: 4
Training loss: 0.14834036141633988 - MAE: 0.2910206240007747
Validation loss : 0.1474542622180546 - MAE: 0.2915430406480437
Epoch: 5
Training loss: 0.14879375964403152 - MAE: 0.2913913004246226
Validation loss : 0.14557460432543473 - MAE: 0.2891730110373066
Epoch: 6