File size: 2,137 Bytes
b980db5 989edbc 0849583 40a6891 6a531d7 efe89cb 6ea8dd4 64adc87 2744bfd 810548f f9dcafe 716abd4 9274922 fdf4be0 15c1bfa 8141287 bc579aa fa516cb 4054448 4ab6510 279b8b2 aaa6386 57b6753 8db3746 8e034a2 d216492 34720cd 3d2d2ff 884d1ff 3db05f0 42621b5 d98ca0a ab99641 c613560 a35ec75 69fa252 b87b95b e7fdc02 9d69d67 59b6d21 32ee265 18efce0 |
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 |
Started at: 16:05:57
norbert, 0.001, 256
({'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: 0.49220905542373655 - MAE: 0.5520118439300846
Validation loss : 0.2166342387596766 - MAE: 0.34947940784459747
Epoch: 1
Training loss: 0.20131950914859773 - MAE: 0.3431303015271869
Validation loss : 0.17683975729677412 - MAE: 0.3210844786138331
Epoch: 2
Training loss: 0.17673864841461182 - MAE: 0.31880085078693526
Validation loss : 0.1719684104124705 - MAE: 0.317594910933139
Epoch: 3
Training loss: 0.16801247656345367 - MAE: 0.31077013648118285
Validation loss : 0.16923915346463522 - MAE: 0.31540737276811004
Epoch: 4
Training loss: 0.16564364224672318 - MAE: 0.3073442109944631
Validation loss : 0.16722288727760315 - MAE: 0.3136399166526184
Epoch: 5
Training loss: 0.16232011079788208 - MAE: 0.3041897507396155
Validation loss : 0.16536029345459408 - MAE: 0.3114415452135233
Epoch: 6
Training loss: 0.16145263254642486 - MAE: 0.30372586659289286
Validation loss : 0.16393751899401346 - MAE: 0.30970834356522237
Epoch: 7
Training loss: 0.15952961683273315 - MAE: 0.3014398534997291
Validation loss : 0.16353876557615069 - MAE: 0.3093486837613686
Epoch: 8
Training loss: 0.15827694296836853 - MAE: 0.3017799015807066
Validation loss : 0.16178464558389452 - MAE: 0.30685774986026826
Epoch: 9
Training loss: 0.1557455012202263 - MAE: 0.29703354269817683
Validation loss : 0.1617363608545727 - MAE: 0.3071740912198209
Epoch: 10
Training loss: 0.1554465526342392 - MAE: 0.297879374820783
Validation loss : 0.16221081382698482 - MAE: 0.3082497918680217
Epoch: 11
Training loss: 0.1566559138894081 - MAE: 0.29806015108331657
Validation loss : 0.1614928791920344 - MAE: 0.30749730924668883
Stopped after 11 epochs.
Prediction MAE: 0.2968
Finished at: 16:05:57
|