home-standard-results
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07-05-2023_nb-bert-base_batchsize_256_all_units_0.01_1_200_freeze_True_earlystop_3.txt
Started at: 13:33:54 | |
({'_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'}, {}) | |
Training loss: 0.19773141145706177 - MAE: 0.3417031993690722 | |
Validation loss : 0.15884368287192452 - MAE: 0.3057749064393891 | |
Epoch: 2 | |
Epoch: 0 | |
Started at: 13:35:29 | |
({'_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: 0.6376274889707565 - MAE: 0.6429309809551679 | |
Validation loss : 0.22845994763904148 - MAE: 0.3782420947934131 | |
Epoch: 1 | |
Training loss: 0.1965234112739563 - MAE: 0.3413471184537239 | |
Validation loss : 0.1530745310915841 - MAE: 0.2979707010315972 | |
Epoch: 2 | |
Training loss: 0.15543900072574615 - MAE: 0.29731540576556537 | |
Validation loss : 0.14606525831752354 - MAE: 0.2864223130007906 | |
Epoch: 3 | |
Training loss: 0.1507876819372177 - MAE: 0.29295757397392735 | |
Validation loss : 0.1432481755812963 - MAE: 0.28364087288917006 | |
Epoch: 4 | |
Training loss: 0.15016920030117034 - MAE: 0.2913431094295835 | |
Validation loss : 0.1475455512603124 - MAE: 0.29316776489313867 | |
Epoch: 5 | |
Training loss: 0.14534022212028502 - MAE: 0.2875437281787874 | |
Validation loss : 0.14057193448146185 - MAE: 0.28135979135270206 | |
Epoch: 6 | |
Training loss: 0.14364436715841294 - MAE: 0.28487823503015297 | |
Validation loss : 0.1391669147544437 - MAE: 0.27945336107891855 | |
Epoch: 7 | |
Training loss: 0.1414860889315605 - MAE: 0.2816294507424481 | |
Validation loss : 0.14006613360510933 - MAE: 0.2792923892714801 | |
Epoch: 8 | |
Training loss: 0.14147553652524947 - MAE: 0.2826352349668808 | |
Validation loss : 0.13934735125965542 - MAE: 0.280505974664447 | |
Epoch: 9 | |
Training loss: 0.14187660098075866 - MAE: 0.28383721813909685 | |
Validation loss : 0.1382248948017756 - MAE: 0.27868680323802203 | |
Epoch: 10 | |
Training loss: 0.14004571199417115 - MAE: 0.2820376221746472 | |
Validation loss : 0.13946871873405245 - MAE: 0.2797391723830523 | |
Epoch: 11 | |
Training loss: 0.1413075840473175 - MAE: 0.2831448699670839 | |
Validation loss : 0.1385013626681434 - MAE: 0.2784768662835355 | |