File size: 2,848 Bytes
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Started at: 14:47:29
nb-bert-base, 5e-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: 0.46638986387036063 - MAE: 0.5398754368007034
Validation loss : 0.2809767316322069 - MAE: 0.4124626148131228
Epoch: 1
Training loss: 0.21324598220261662 - MAE: 0.36342001646930033
Validation loss : 0.17091604342331757 - MAE: 0.32559828894035
Epoch: 2
Training loss: 0.15148694582960823 - MAE: 0.3101711238743909
Validation loss : 0.14158385267128815 - MAE: 0.29382737678226023
Epoch: 3
Training loss: 0.124982850253582 - MAE: 0.2813409221247067
Validation loss : 0.11344313339607136 - MAE: 0.25976834796862297
Epoch: 4
Training loss: 0.10359308848326856 - MAE: 0.25381723494987607
Validation loss : 0.10265538237384848 - MAE: 0.24230259616167318
Epoch: 5
Training loss: 0.08948654772883112 - MAE: 0.23498061801274692
Validation loss : 0.09245944788327089 - MAE: 0.2265152617992811
Epoch: 6
Training loss: 0.07607155100188472 - MAE: 0.2157861911084654
Validation loss : 0.08652295635358707 - MAE: 0.2184979559256568
Epoch: 7
Training loss: 0.06690294654531913 - MAE: 0.2011048192003143
Validation loss : 0.08006738347781671 - MAE: 0.20853752498405181
Epoch: 8
Training loss: 0.05949505604803562 - MAE: 0.1890938053594342
Validation loss : 0.06948294661737778 - MAE: 0.1920086602951222
Epoch: 9
Training loss: 0.05425354472615502 - MAE: 0.17931217790377968
Validation loss : 0.06705979368573911 - MAE: 0.1872916947876361
Epoch: 10
Training loss: 0.051136760142716495 - MAE: 0.17425557358320554
Validation loss : 0.07039306645055075 - MAE: 0.1957787938835992
Epoch: 11
Training loss: 0.049823644300076096 - MAE: 0.17265991846906573
Validation loss : 0.059706183905537065 - MAE: 0.17449212548911355
Epoch: 12
Training loss: 0.04213783075525002 - MAE: 0.15748476174497095
Validation loss : 0.06050218903535121 - MAE: 0.17571373887778519
Epoch: 13
Training loss: 0.03851394113153219 - MAE: 0.1512245667258023
Validation loss : 0.05904384138616356 - MAE: 0.1736026045715516
Epoch: 14
Training loss: 0.03739640076052059 - MAE: 0.14833851531891173
Validation loss : 0.05757016124757561 - MAE: 0.17082927729316882
Epoch: 15
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