File size: 2,910 Bytes
ffdff51 ca93d39 8a9dc10 54e7f6f 8344db1 38f51a1 480fedd f82f0a4 c45369e 5bcb629 96d8a52 f9c61ff 05f907e a04b204 d682b41 656c0a1 30b5648 242651e e148f83 7233b82 67b6d25 c14add0 2ee0943 ab40d12 df9b96f 4bc1456 ed075b0 e5cdd3f 4b32231 f3329cf f98b900 a6865f2 1ad68f3 a3244ec 41f96c1 ad2af4f 67df123 00e4480 87e8292 1ab51e5 c65a2e6 a64d778 9abe17c e6cbaa5 850f5b8 97b8fdb e8d10b7 56253a9 4e2e70f 36f6375 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 |
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
Training loss: 0.03432362365790389 - MAE: 0.14270446314923024
|