File size: 6,524 Bytes
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Started at: 16:03:31
nb-bert-base, 1e-06, 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: 0.7271318706599149 - MAE: 0.6831216644315611
Validation loss : 0.42457069094116623 - MAE: 0.5310234954937942
Epoch: 1
Training loss: 0.4017618325623599 - MAE: 0.5113891617478459
Validation loss : 0.3601061556790326 - MAE: 0.47872181276206954
Epoch: 2
Training loss: 0.3346875086426735 - MAE: 0.4557084281637824
Validation loss : 0.3026893593975016 - MAE: 0.42968294420152836
Epoch: 3
Training loss: 0.27502210925925863 - MAE: 0.4083413682966922
Validation loss : 0.2493422031402588 - MAE: 0.38829624389412676
Epoch: 4
Training loss: 0.22922010150822728 - MAE: 0.374115376863141
Validation loss : 0.21512102678015427 - MAE: 0.36273443011280543
Epoch: 5
Training loss: 0.20582241117954253 - MAE: 0.35785392938520194
Validation loss : 0.19260533154010773 - MAE: 0.3445584427568667
Epoch: 6
Training loss: 0.18504355576905337 - MAE: 0.33999207572682016
Validation loss : 0.18239208814260122 - MAE: 0.3362534719407864
Epoch: 7
Training loss: 0.17347032624212178 - MAE: 0.32901041370404
Validation loss : 0.1727527996172776 - MAE: 0.3273999893030842
Epoch: 8
Training loss: 0.16140718588774855 - MAE: 0.3185892364257231
Validation loss : 0.16311134518803777 - MAE: 0.31766631226614
Epoch: 9
Training loss: 0.1555855579674244 - MAE: 0.3131268902757298
Validation loss : 0.15599115515077436 - MAE: 0.31016476266703236
Epoch: 10
Training loss: 0.14619598415764895 - MAE: 0.303503172138375
Validation loss : 0.150120818937147 - MAE: 0.3037910577986695
Epoch: 11
Training loss: 0.14181994023648176 - MAE: 0.2996883375884051
Validation loss : 0.1466762089246028 - MAE: 0.2993610834634052
Epoch: 12
Training loss: 0.13435588756745512 - MAE: 0.29110208978373203
Validation loss : 0.14056996175566236 - MAE: 0.29225523563049816
Epoch: 13
Training loss: 0.1287676831538027 - MAE: 0.28405198785284874
Validation loss : 0.1365019944874016 - MAE: 0.2873751026433757
Epoch: 14
Training loss: 0.12269411385059356 - MAE: 0.2770283447302897
Validation loss : 0.1298245403009492 - MAE: 0.2788738019688051
Epoch: 15
Training loss: 0.11961868865923449 - MAE: 0.2728991609541507
Validation loss : 0.12097394889270938 - MAE: 0.26905557549750797
Epoch: 16
Started at: 14:34:57
nb-bert-base, 1e-06, 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: 0.7271318706599149 - MAE: 0.6831216644315611
Validation loss : 0.42457069094116623 - MAE: 0.5310234954937942
Epoch: 1
Training loss: 0.4017618325623599 - MAE: 0.5113891617478459
Validation loss : 0.3601061556790326 - MAE: 0.47872181276206954
Epoch: 2
Training loss: 0.3346875086426735 - MAE: 0.4557084281637824
Validation loss : 0.3026893593975016 - MAE: 0.42968294420152836
Epoch: 3
Training loss: 0.27502210925925863 - MAE: 0.4083413682966922
Validation loss : 0.2493422031402588 - MAE: 0.38829624389412676
Epoch: 4
Training loss: 0.22922010150822728 - MAE: 0.374115376863141
Validation loss : 0.21512102678015427 - MAE: 0.36273443011280543
Epoch: 5
Training loss: 0.20582241117954253 - MAE: 0.35785392938520194
Validation loss : 0.19260533154010773 - MAE: 0.3445584427568667
Epoch: 6
Training loss: 0.18504355576905337 - MAE: 0.33999207572682016
Validation loss : 0.18239208814260122 - MAE: 0.3362534719407864
Epoch: 7
Training loss: 0.17347032624212178 - MAE: 0.32901041370404
Validation loss : 0.1727527996172776 - MAE: 0.3273999893030842
Epoch: 8
Training loss: 0.16140718588774855 - MAE: 0.3185892364257231
Validation loss : 0.16311134518803777 - MAE: 0.31766631226614
Epoch: 9
Training loss: 0.1555855579674244 - MAE: 0.3131268902757298
Validation loss : 0.15599115515077436 - MAE: 0.31016476266703236
Epoch: 10
Training loss: 0.14619598415764895 - MAE: 0.303503172138375
Validation loss : 0.150120818937147 - MAE: 0.3037910577986695
Epoch: 11
Training loss: 0.14181994023648176 - MAE: 0.2996883375884051
Validation loss : 0.1466762089246028 - MAE: 0.2993610834634052
Epoch: 12
Training loss: 0.13435588756745512 - MAE: 0.29110208978373203
Validation loss : 0.14056996175566236 - MAE: 0.29225523563049816
Epoch: 13
Training loss: 0.12866038212721997 - MAE: 0.28404070811465715
Validation loss : 0.1357109270788528 - MAE: 0.28613553899649796
Epoch: 14
Training loss: 0.12340682697567072 - MAE: 0.27842687704013036
Validation loss : 0.12950500906319232 - MAE: 0.27895105105401513
Epoch: 15
Training loss: 0.11702971207824621 - MAE: 0.27087540094754664
Validation loss : 0.1266936281242886 - MAE: 0.274463935033191
Epoch: 16
Training loss: 0.11357090642506426 - MAE: 0.2664500540523214
Validation loss : 0.12343033483705006 - MAE: 0.27011917424495085
Epoch: 17
Training loss: 0.10877070006999102 - MAE: 0.26048820418603563
Validation loss : 0.11952938441489194 - MAE: 0.2647060743815808
Epoch: 18
Training loss: 0.10449935177510435 - MAE: 0.2547830226885845
Validation loss : 0.11533314311826551 - MAE: 0.25943563761227006
Epoch: 19
Training loss: 0.10116762512109496 - MAE: 0.2505290276551984
Validation loss : 0.11643307273452347 - MAE: 0.26036696261703957
Prediction MAE: 0.2577
Finished at: 14:34:57
Time taken: 3441 s.
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