File size: 3,187 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
2399687
ed0424e
78e8294
b9dacec
202aa6f
cd76783
66966cb
ab7c83a
dabafdf
8a5c6bb
1edc399
59028fe
14dea6e
e62b167
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
65
66
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
Epoch: 16
Training loss: 0.18526539477435025 - MAE: 0.34151268377118005
Validation loss : 0.17641934752464294 - MAE: 0.3313521931566946
Epoch: 17
Training loss: 0.17847436382011933 - MAE: 0.33507327310140644
Validation loss : 0.17367160843836293 - MAE: 0.32822675514768107
Epoch: 18
Training loss: 0.17289844019846481 - MAE: 0.32901488381900473
Validation loss : 0.16798554723327225 - MAE: 0.32231628187994693
Epoch: 19
Training loss: 0.16958028145811774 - MAE: 0.3264631854413058
Validation loss : 0.16419280380816073 - MAE: 0.3190655186846878
Prediction MAE: 0.3185
Finished at: 16:02:20