File size: 3,506 Bytes
89e79dc ec771a3 f445a1f f7ea47e 21cea55 02ab522 6d2bb95 87f214e 7186a39 79fe858 b751190 9e10751 4656908 6dcdf15 bb71c16 3d71114 0edc455 b2d70ee 127064a fe2d0fb f20fa87 589edf8 b139430 768bceb 414b734 6eff4b2 10cf495 f2bddd3 3b0320d d06925b 1d6421d 7a56191 e0011f5 c96cf14 3a7b0b5 f1a40e6 06b2fb5 4ad597f af94459 0f10186 fe02582 447f202 1972bbe 87ff732 031b935 ff20ffd ef29562 ab1e350 ccab33a 7f00f23 0193433 a880d24 5b41f7d bad87e2 b38ee76 09e281f 83778ae 24c97cf 067e1b5 3754f4d 12b2e12 12023fb 2ee5644 |
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 52 53 54 55 56 57 58 59 60 61 62 63 64 |
Started at: 15:32:56
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: 0.7517342874407769 - MAE: 0.7057451002280275
Validation loss : 0.2215285485281664 - MAE: 0.36895833487830076
Epoch: 1
Training loss: 0.19639551222324372 - MAE: 0.3396230939000504
Validation loss : 0.19613290621953852 - MAE: 0.3407071633363561
Epoch: 2
Training loss: 0.189819974899292 - MAE: 0.33152794044204265
Validation loss : 0.1862245491322349 - MAE: 0.3306322601904093
Epoch: 3
Training loss: 0.18293176978826522 - MAE: 0.32441511104916815
Validation loss : 0.17851299398085652 - MAE: 0.3229232679845315
Epoch: 4
Training loss: 0.17267104253172874 - MAE: 0.31568550798758915
Validation loss : 0.1724623275153777 - MAE: 0.3165547082446247
Epoch: 5
Training loss: 0.16829490080475806 - MAE: 0.3120916956077127
Validation loss : 0.16718720863847172 - MAE: 0.3110304108857384
Epoch: 6
Training loss: 0.16253711566329002 - MAE: 0.3063455763538055
Validation loss : 0.16258587469072902 - MAE: 0.30655345038718496
Epoch: 7
Training loss: 0.16034438580274582 - MAE: 0.30328251732911143
Validation loss : 0.1597431661451564 - MAE: 0.30170444947052183
Epoch: 8
Training loss: 0.1557214939594269 - MAE: 0.2978233031704816
Validation loss : 0.15588842639151743 - MAE: 0.2980465650755997
Epoch: 9
Training loss: 0.15138985186815263 - MAE: 0.29315482496406786
Validation loss : 0.15272060474928686 - MAE: 0.2938781084993315
Epoch: 10
Training loss: 0.14734334856271744 - MAE: 0.28864492743138265
Validation loss : 0.14985116001437693 - MAE: 0.29023116106870367
Epoch: 11
Training loss: 0.1457201571762562 - MAE: 0.2867967428580185
Validation loss : 0.1477173132931485 - MAE: 0.2867585527915968
Epoch: 12
Training loss: 0.14163992531597613 - MAE: 0.2835520938095877
Validation loss : 0.14506700503475525 - MAE: 0.2834552494116601
Epoch: 13
Training loss: 0.13645638167858123 - MAE: 0.2770969076622815
Validation loss : 0.14318845815518322 - MAE: 0.28016682881578747
Epoch: 14
Training loss: 0.1343451277911663 - MAE: 0.27475739357644485
Validation loss : 0.1393124759197235 - MAE: 0.27617785195712385
Epoch: 15
Training loss: 0.13045489206910132 - MAE: 0.27069742920636936
Validation loss : 0.13638880761230693 - MAE: 0.27319779379573633
Epoch: 16
Training loss: 0.12725012689828874 - MAE: 0.2683235728652262
Validation loss : 0.13482610443059137 - MAE: 0.27131034946836896
Epoch: 17
Training loss: 0.12515463784337044 - MAE: 0.2658840357596416
Validation loss : 0.13159997717422597 - MAE: 0.2683061102257243
Epoch: 18
Training loss: 0.12170385599136352 - MAE: 0.2627476926820322
Validation loss : 0.12888203605132945 - MAE: 0.26585217143392986
Epoch: 19
Training loss: 0.11737259797751903 - MAE: 0.25807553547867146
Validation loss : 0.1258681942434872 - MAE: 0.26310331994565594
|