File size: 2,597 Bytes
a68d4cb 92ab2b0 070f365 e3ce6c4 8d8f899 568179d 492fb84 f19ef45 ec18a33 31e9e72 94699a8 b178d71 72e5d69 f543c6a bba9c65 fe163bf fbccaac a4c001b 02dbed4 223aa8e b140b05 208105a c0ec60e 6c44397 3c895c2 7fb253e efb66c2 d742085 d70119c 6e338df de1e317 d59f3cc 8e896d0 96f9fec e975982 0d7d3b1 83b6453 98e0021 3de6aca 45c8f9d 175e0fd decad1c ef85731 d44e472 033b9e2 e0d61e4 67756fa 14055ac aaca796 cd1d34d c8dbf48 |
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 |
Started at: 16:02:20
norbert, 1e-06, 128
({'architectures': ['BertForMaskedLM'], 'attention_probs_dropout_prob': 0.1, 'hidden_act': 'gelu', 'hidden_dropout_prob': 0.1, 'hidden_size': 768, 'initializer_range': 0.02, 'intermediate_size': 3072, 'max_position_embeddings': 512, 'model_type': 'bert', 'num_attention_heads': 12, 'num_hidden_layers': 12, 'type_vocab_size': 2, 'vocab_size': 32922, '_commit_hash': '075d4e3705390691013e859faffc5696d071e33b'}, {})
Epoch: 0
Training loss: 0.7460856667973779 - MAE: 0.6937262853295475
Validation loss : 0.44463845926362117 - MAE: 0.5404389452025509
Epoch: 1
Training loss: 0.42787456051869827 - MAE: 0.5316044299587891
Validation loss : 0.4109697841309212 - MAE: 0.5172857106468047
Epoch: 2
Training loss: 0.3988200171427293 - MAE: 0.5103238186167652
Validation loss : 0.38310027605778463 - MAE: 0.49533129267688575
Epoch: 3
Training loss: 0.3718023626641794 - MAE: 0.4883303679176176
Validation loss : 0.35466546625704376 - MAE: 0.4719971885902407
Epoch: 4
Training loss: 0.34883382564241233 - MAE: 0.4694786853187755
Validation loss : 0.3274613445675051 - MAE: 0.4497400936882447
Epoch: 5
Training loss: 0.32371379624713553 - MAE: 0.45055896282082925
Validation loss : 0.3024664642037572 - MAE: 0.43046571174501985
Epoch: 6
Training loss: 0.298250751061873 - MAE: 0.4311035397705723
Validation loss : 0.28173082583659403 - MAE: 0.4146433680641701
Epoch: 7
Training loss: 0.27592497847296976 - MAE: 0.4124746433320494
Validation loss : 0.2617965574200089 - MAE: 0.398852922643977
Epoch: 8
Training loss: 0.25866106680848383 - MAE: 0.3997834659180525
Validation loss : 0.24574068228940707 - MAE: 0.3877418061586343
Epoch: 9
Training loss: 0.24225996245037426 - MAE: 0.38608393859401835
Validation loss : 0.23333295052115982 - MAE: 0.37684259385811697
Epoch: 10
Training loss: 0.2291112703355876 - MAE: 0.3778737300680278
Validation loss : 0.2209517375842945 - MAE: 0.36782286820733
Epoch: 11
Training loss: 0.2189519001678987 - MAE: 0.36925461376740537
Validation loss : 0.21126504403513832 - MAE: 0.36075527268024365
Epoch: 12
Training loss: 0.20796230923045766 - MAE: 0.36019755104434287
Validation loss : 0.20206612670743787 - MAE: 0.3536469631105317
Epoch: 13
Training loss: 0.2011198039759289 - MAE: 0.35527753432966236
Validation loss : 0.19521727473349185 - MAE: 0.3488031373290791
Epoch: 14
Training loss: 0.19580315405672247 - MAE: 0.3502173428758647
Validation loss : 0.1880948547575925 - MAE: 0.3410039793040633
Epoch: 15
Training loss: 0.18735542852770198 - MAE: 0.3436254560944687
Validation loss : 0.18261285891404022 - MAE: 0.337073126837476
|