File size: 5,830 Bytes
415e1d6 0625bb2 7d08e24 557aa89 450b003 94d6b3c 4f21eea 6a81b5a 5ae1f34 0b261b6 64c82db bf2ade6 5218d77 1f36c26 9a66345 7b89b3f f6ba68d 2a24f47 9d1c1f7 7261512 d01a3d5 d560ed1 b67e2d7 25ca10f ed1681d 1afcba2 88b3981 5433b50 922374e 5a1c0c6 3b92628 ba2995f 3099c28 d2a9fed 91709a5 3c755dc 9f5271e 5e9a2ba 070cc17 a1d6b8d f6d2bf1 acfd692 e0c788c 0729b84 3af0a40 012213c eb44138 8a6167a 1ea0a3b 4ccabd1 a11eff6 9c17bda 1a1685c 76639f7 aa27110 6f639bc cb06b25 a234af1 9bda0b1 9588a83 7e39a94 5a5a2ab 1bdac7b 1bc6c22 c5eae9e 105067f 2e7714c 332948e e7e7a79 c983ea2 628f7e7 364616a 85c5d50 20d007f c7a03ea 3ad0b5b e342779 31d504b 7968def 2c9f269 9a8fd67 0af32e1 0ea38b3 a07c6bd 59047c5 8c4a632 9a7ab24 d0f4932 65733c0 306c382 03cf312 5818329 cd53907 af42767 7dacc65 44d3f41 58201b8 28cae30 13c413f 1e258a4 c9f9a5c 05bb255 056d675 9e505bc f4cccd5 b12b1ba be78cd8 5aa4832 8fc1cf6 a8490e9 9d2e664 2c0ba14 47d032a ab616c5 598cce3 00cbe93 a60956a 61f4fcf 9ac4046 34c3048 42f17b2 0b00ea2 89b0721 f44180a 34fcd41 |
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 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 |
Started at: 14:22:52
({'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: 0.6967193094583658 - MAE: 0.6750990625330823
Validation loss : 0.5263436496257782 - MAE: 0.613448569191522
Epoch: 1
Training loss: 0.26826212727106535 - MAE: 0.4087051125792896
Validation loss : 0.22296061515808105 - MAE: 0.3555378972565709
Epoch: 2
Training loss: 0.2124968572304799 - MAE: 0.3476390507866737
Validation loss : 0.20461321175098418 - MAE: 0.3532590132614058
Epoch: 3
Training loss: 0.18429063145930952 - MAE: 0.32677963264803717
Validation loss : 0.17646469473838805 - MAE: 0.3203760276514041
Epoch: 4
Training loss: 0.17768853444319505 - MAE: 0.31684026520272845
Validation loss : 0.17874470055103303 - MAE: 0.3257858562177419
Epoch: 5
Training loss: 0.17304767782871538 - MAE: 0.3139755194179104
Validation loss : 0.1718216747045517 - MAE: 0.31812428100953294
Epoch: 6
Training loss: 0.17041566165593955 - MAE: 0.31176170900212385
Validation loss : 0.17110097408294678 - MAE: 0.3175205683975872
Epoch: 7
Training loss: 0.16822290764405176 - MAE: 0.3093251221653364
Validation loss : 0.17010048031806946 - MAE: 0.3165555384963895
Epoch: 8
Training loss: 0.16749977606993455 - MAE: 0.309235729717861
Validation loss : 0.1681269407272339 - MAE: 0.31405053463780375
Epoch: 9
Training loss: 0.1660219534085347 - MAE: 0.30707150650440435
Validation loss : 0.16768858432769776 - MAE: 0.3134797613244496
Epoch: 10
Training loss: 0.16200380256542793 - MAE: 0.3036754525218348
Validation loss : 0.1665838599205017 - MAE: 0.3121892924671111
Epoch: 11
Training loss: 0.16332647777520692 - MAE: 0.3039458888319623
Validation loss : 0.16546964943408965 - MAE: 0.3107545377167428
Epoch: 12
Training loss: 0.16287456223597893 - MAE: 0.30448042997749564
Validation loss : 0.16524331867694855 - MAE: 0.3106786227351389
Epoch: 13
Training loss: 0.15990304029904878 - MAE: 0.30016709856440854
Validation loss : 0.16489878594875335 - MAE: 0.31031377115036685
Epoch: 14
Training loss: 0.15767766993779403 - MAE: 0.2997244083849813
Validation loss : 0.16339748501777648 - MAE: 0.3083185140265562
Epoch: 15
Training loss: 0.15951268031046942 - MAE: 0.29912324704552734
Validation loss : 0.16375492811203002 - MAE: 0.3090144460164269
Epoch: 16
Training loss: 0.15623677808504838 - MAE: 0.2973088492735953
Validation loss : 0.16299248337745667 - MAE: 0.30820454237494843
Epoch: 17
Training loss: 0.1564337038076841 - MAE: 0.29861382568944933
Validation loss : 0.16230234503746033 - MAE: 0.30725784051523525
Epoch: 18
Training loss: 0.15549989617787874 - MAE: 0.2960598878509324
Validation loss : 0.16213322579860687 - MAE: 0.3070436707425703
Epoch: 19
Training loss: 0.1569853677199437 - MAE: 0.29836095928185685
Validation loss : 0.16146726608276368 - MAE: 0.30629696980134635
Epoch: 20
Training loss: 0.1547408069555576 - MAE: 0.2970990607700864
Validation loss : 0.16105090379714965 - MAE: 0.3058310992073678
Epoch: 21
Training loss: 0.154588805941435 - MAE: 0.2957786660002471
Validation loss : 0.16075867414474487 - MAE: 0.30553690240829345
Epoch: 22
Training loss: 0.153683405656081 - MAE: 0.29670572424115915
Validation loss : 0.16087317764759063 - MAE: 0.3056201053962598
Epoch: 23
Training loss: 0.15514581363934737 - MAE: 0.2955321868620246
Validation loss : 0.16066641211509705 - MAE: 0.30531659865767746
Epoch: 24
Training loss: 0.15376647619100717 - MAE: 0.2947861379473795
Validation loss : 0.1603192001581192 - MAE: 0.3047779291624614
Epoch: 25
Training loss: 0.15424712231526008 - MAE: 0.295517101740558
Validation loss : 0.16027258038520814 - MAE: 0.30490525127423435
Epoch: 26
Training loss: 0.1534990152487388 - MAE: 0.2947872614603403
Validation loss : 0.15944191813468933 - MAE: 0.3040211334248351
Epoch: 27
Training loss: 0.15433337367497957 - MAE: 0.29452155782914224
Validation loss : 0.1589920550584793 - MAE: 0.3033883763699271
Epoch: 28
Training loss: 0.15299253509594843 - MAE: 0.29417555280935553
Validation loss : 0.15820957720279694 - MAE: 0.30212984699933354
Epoch: 29
Training loss: 0.1528388296182339 - MAE: 0.29439108542262243
Validation loss : 0.15762979090213775 - MAE: 0.30137274414478366
Epoch: 30
Training loss: 0.15239140964471376 - MAE: 0.2931581262311504
Validation loss : 0.1580193370580673 - MAE: 0.30197420343316406
Epoch: 31
Training loss: 0.15259050176693842 - MAE: 0.29443273043635304
Validation loss : 0.15747585594654084 - MAE: 0.30127911144588826
Epoch: 32
Training loss: 0.1526124311181215 - MAE: 0.29437440890737165
Validation loss : 0.15704381465911865 - MAE: 0.30065229981507346
Epoch: 33
Training loss: 0.15283041046215937 - MAE: 0.29381278442156483
Validation loss : 0.15643138587474822 - MAE: 0.300023304194808
Epoch: 34
Training loss: 0.15295472053381112 - MAE: 0.2943630839679987
Validation loss : 0.15613988637924195 - MAE: 0.2997042731770326
Epoch: 35
Training loss: 0.1538951786664816 - MAE: 0.2953855544885684
Validation loss : 0.15575254261493682 - MAE: 0.2986546943191013
Epoch: 36
Training loss: 0.15247866969842178 - MAE: 0.2940545876422218
Validation loss : 0.15558441281318663 - MAE: 0.29878957189644934
Epoch: 37
Training loss: 0.15140113463768592 - MAE: 0.2934594637632915
Validation loss : 0.15546987056732178 - MAE: 0.2987917791428303
Epoch: 38
Training loss: 0.15235514824207014 - MAE: 0.29373894252168026
Validation loss : 0.1554083526134491 - MAE: 0.29874726278048536
Stopped after 38 epochs.
Prediction MAE: 0.2850
Finished at: 14:22:52
Time taken: 3069 s.
0 days 0 hours 51 minutes 9 seconds
|