File size: 3,149 Bytes
49f4ca7 e5397b8 8b9d56e ed22641 5cb8369 2873fb4 2e43ddc 7616f78 d49567b b5d7b40 b31f8b4 a990ef5 09c3fd1 401ae08 21f8810 4979cc5 30f80ec 6faecc5 b095efb 6c989ef 98fd72b 24ea41b 3cecc24 1fc13e7 6312cf1 8dc8412 8c5c5d2 64f7e06 439ead1 c8babb6 501e49d 7a8e6be f249b88 5b10f9f 3f147eb 29aae01 42494f7 0c91911 dbdb3ea 2fdba11 7e023fa de42fd6 631fc81 3081d2a 53af1cb 8d97157 119d7d3 b0ebc2b 2c39497 4a7991a 733610c fc778d2 d46188a 4238202 80b24bb 3b76057 c74a072 50176b4 ec5b57c 64d9a84 eb8a350 3bbac4b 2b06db9 0e07627 |
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 |
Started at: 13:35:06
norbert, 1e-06, 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: 1.0772956924004988 - MAE: 0.856498247298645
Validation loss : 0.4705231440694709 - MAE: 0.559096816475012
Epoch: 1
Training loss: 0.4544321965087544 - MAE: 0.547270218793919
Validation loss : 0.4447280058735295 - MAE: 0.5412003212987739
Epoch: 2
Training loss: 0.4308997018770738 - MAE: 0.5321279372731171
Validation loss : 0.4250404411240628 - MAE: 0.5278525510205802
Epoch: 3
Training loss: 0.4112297307361256 - MAE: 0.5181618101373561
Validation loss : 0.4046152390931782 - MAE: 0.5114425806516921
Epoch: 4
Training loss: 0.39213545484976337 - MAE: 0.5029892642604422
Validation loss : 0.38472563498898554 - MAE: 0.4958518717609155
Epoch: 5
Training loss: 0.37252565947445954 - MAE: 0.48912882214745235
Validation loss : 0.3650009020378715 - MAE: 0.4803670070791511
Epoch: 6
Training loss: 0.35621544176881964 - MAE: 0.47649085916155254
Validation loss : 0.34583601826115656 - MAE: 0.4648491765622296
Epoch: 7
Training loss: 0.3386711391535672 - MAE: 0.4621560564779693
Validation loss : 0.32482051692510905 - MAE: 0.447774475715626
Epoch: 8
Training loss: 0.3189195172353224 - MAE: 0.44856611871316393
Validation loss : 0.3037687069491336 - MAE: 0.43234104410096236
Epoch: 9
Training loss: 0.302150976116007 - MAE: 0.4362054346024602
Validation loss : 0.28887469360702916 - MAE: 0.4219088658456175
Epoch: 10
Training loss: 0.288030547987331 - MAE: 0.4250857297017967
Validation loss : 0.2715592282383065 - MAE: 0.4094845886681479
Epoch: 11
Training loss: 0.2728167688304728 - MAE: 0.4150105004789235
Validation loss : 0.2590365017715253 - MAE: 0.4007997052494776
Epoch: 12
Training loss: 0.26093280721794476 - MAE: 0.4062835607154814
Validation loss : 0.2483856074119869 - MAE: 0.39251004238851134
Epoch: 13
Training loss: 0.2504612925377759 - MAE: 0.39774659225475617
Validation loss : 0.24007577802005567 - MAE: 0.3851492814798488
Epoch: 14
Training loss: 0.2402110839431936 - MAE: 0.3895118978617586
Validation loss : 0.23096998741752223 - MAE: 0.3787625920680969
Epoch: 15
Training loss: 0.2349614213813435 - MAE: 0.3866884141347793
Validation loss : 0.2220262869408256 - MAE: 0.37076542663948076
Epoch: 16
Training loss: 0.22606125311418013 - MAE: 0.37828821519969064
Validation loss : 0.21567985101750023 - MAE: 0.3654683116694453
Epoch: 17
Training loss: 0.21893445578488438 - MAE: 0.3733201616952243
Validation loss : 0.21001864028604408 - MAE: 0.36006743132950286
Epoch: 18
Training loss: 0.21495496928691865 - MAE: 0.3689514976360227
Validation loss : 0.20457668602466583 - MAE: 0.3552828079917847
Epoch: 19
Training loss: 0.2064599324356426 - MAE: 0.3614734110377194
Validation loss : 0.19822196427144503 - MAE: 0.3497536657738755
Prediction MAE: 0.3470
|