File size: 1,404 Bytes
35f016b 3cb1b11 080917e ef6ede6 f0cef3e cea6db0 63bed6d 97e0a67 1d54166 c4e2196 b9b2723 22d763a 191d660 2eb6cf1 b8fb90f 04afa01 e9e38cd 48d334e bdf6ab9 391b29c 3331a25 4426823 46778ae dbfa90d 0d6f72e |
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 |
Started at: 03:27:05
norbert, 0.001, 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: 0.3444238856434822 - MAE: 0.4473144306413011
Validation loss : 0.1780918845359017 - MAE: 0.3213518725445022
Epoch: 1
Training loss: 0.1740102858841419 - MAE: 0.3180066323013725
Validation loss : 0.16862716131350575 - MAE: 0.3134325374115343
Epoch: 2
Training loss: 0.16404450088739395 - MAE: 0.3074207459931283
Validation loss : 0.16486344793263605 - MAE: 0.3085341444220765
Epoch: 3
Training loss: 0.1578766556084156 - MAE: 0.30215555613444434
Validation loss : 0.16263197713038502 - MAE: 0.30742327217612714
Epoch: 4
Training loss: 0.1562151789665222 - MAE: 0.30114771927920364
Validation loss : 0.16128160410067616 - MAE: 0.30596867080546136
Epoch: 5
Training loss: 0.15467158675193787 - MAE: 0.29900409900972424
Validation loss : 0.15898950792410793 - MAE: 0.30282822703941226
Epoch: 6
Training loss: 0.15129134237766265 - MAE: 0.2949342434720459
Validation loss : 0.1581728160381317 - MAE: 0.30166671264930883
Epoch: 7
|