File size: 3,013 Bytes
d6c6bc9 3ddd5e8 91af41d 347bab1 ba4e8b8 1a31b88 89fb0a4 cbdc3a8 d22e7a3 89bc6e7 1748266 4a88d0c ee484e2 5ad2f91 95bd9ae 71d7854 4dbfd5f eba6ba2 bc43344 a2a3b80 617c641 44d7ae7 fb559d7 a91fb84 22a6fc6 51daeef c509cc1 7196365 9997432 f516ba0 0c798c2 4b9cc99 1105b64 c4455be 47dd840 433ddfc 77433d7 d434c39 4d36c27 37b2133 ecc08b2 f9ff4cf d78d9dd 7ac0cfd 734e113 ab9fffd 71d6536 9ed511b c1c9b98 f667267 f9a6a96 015d64f b6188c1 b9a3548 ae31d82 195dc1d 58060cc b99d973 bacfc1e afa89d4 |
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 |
Started at: 04:40:02
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: 0.490340878367424 - MAE: 0.5502402056555946
Validation loss : 0.2153187460369534 - MAE: 0.34847071386417267
Epoch: 1
Training loss: 0.20058341324329376 - MAE: 0.3423091295468801
Validation loss : 0.17609875235292646 - MAE: 0.3207490493525149
Epoch: 2
Training loss: 0.17480310261249543 - MAE: 0.31785240619760485
Validation loss : 0.17104972898960114 - MAE: 0.31704982503328616
Epoch: 3
Training loss: 0.16844426095485687 - MAE: 0.31094802683732065
Validation loss : 0.16871228482988146 - MAE: 0.3151468612097043
Epoch: 4
Training loss: 0.16473501205444335 - MAE: 0.3070631323882683
Validation loss : 0.16664770245552063 - MAE: 0.3130509722987033
Epoch: 5
Training loss: 0.16249913841485977 - MAE: 0.30390396654148055
Validation loss : 0.16460454960664114 - MAE: 0.3108272246604274
Epoch: 6
Training loss: 0.16045642793178558 - MAE: 0.3025153689886295
Validation loss : 0.16342525018586052 - MAE: 0.30940071952857345
Epoch: 7
Training loss: 0.15999574840068817 - MAE: 0.3011067249123912
Validation loss : 0.16275884045494926 - MAE: 0.3085626349629923
Epoch: 8
Training loss: 0.15708923935890198 - MAE: 0.29919283959579873
Validation loss : 0.1618599063820309 - MAE: 0.3077045065004142
Epoch: 9
Training loss: 0.1566512778401375 - MAE: 0.29883795388199974
Validation loss : 0.16123364369074503 - MAE: 0.3070243111305445
Epoch: 10
Training loss: 0.1565144717693329 - MAE: 0.2992467122905806
Validation loss : 0.1607403705517451 - MAE: 0.3066506261102796
Epoch: 11
Training loss: 0.15441132932901383 - MAE: 0.2968694001405616
Validation loss : 0.1615937219725715 - MAE: 0.30805963680583925
Epoch: 12
Training loss: 0.15473220765590667 - MAE: 0.2973775166487022
Validation loss : 0.1601952744854821 - MAE: 0.30593868950315056
Epoch: 13
Training loss: 0.15416186094284057 - MAE: 0.2955810503214238
Validation loss : 0.1606642852226893 - MAE: 0.30693562115452544
Epoch: 14
Training loss: 0.1523517221212387 - MAE: 0.29359860648947156
Validation loss : 0.15979144473870596 - MAE: 0.3059113352899167
Epoch: 15
Training loss: 0.15219720542430878 - MAE: 0.29356666946971216
Validation loss : 0.15870776772499084 - MAE: 0.30447905617139626
Epoch: 16
Training loss: 0.15407244622707367 - MAE: 0.2968844009018846
Validation loss : 0.15995393693447113 - MAE: 0.305935636680547
Epoch: 17
Training loss: 0.15287074476480483 - MAE: 0.2946156906987487
Validation loss : 0.1583722018533283 - MAE: 0.30404090762595287
Epoch: 18
Training loss: 0.15273998081684112 - MAE: 0.2950003350810963
Validation loss : 0.15665675865279305 - MAE: 0.3017202135107541
|