File size: 3,562 Bytes
615c8fd
9ef5c98
6baabd8
5073a2c
34ad623
6125b41
fc4e860
99f4bc5
214622e
ced4623
0ea1e44
4667aa8
cec2def
0d4d733
605e5fa
49b4f55
8bf23c8
aeae721
9593770
11a8136
7479268
c92d9e4
40e0f39
cb448ab
5efaf58
c51c0b1
201659f
d71c3d1
386d76e
11df92f
37cd861
8c125fc
e352f62
31cc767
e77cb80
c784b7a
2546c80
f0bba84
67dd901
b5a3f22
97d8d42
4ba0b8b
4609a89
0f0c58a
bfaf728
4a363ca
c3cb0e6
0d3ccba
e0d8dd0
3d46677
fcfefcd
b2b3f1c
60304ab
70931dd
922044a
db90625
0a3495c
b3f48e4
97fe462
7c8e28f
5038b65
eaacd98
8520469
4ef0375
adf85ee
4e957bb
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
Started at: 18:07:27
nb-bert-base, 0.001, 256
({'_name_or_path': '/disk4/folder1/working/checkpoints/huggingface/native_pytorch/step4_8/', 'attention_probs_dropout_prob': 0.1, 'directionality': 'bidi', 'gradient_checkpointing': False, 'hidden_act': 'gelu', 'hidden_dropout_prob': 0.1, 'hidden_size': 768, 'initializer_range': 0.02, 'intermediate_size': 3072, 'layer_norm_eps': 1e-12, 'max_position_embeddings': 512, 'model_type': 'bert', 'num_attention_heads': 12, 'num_hidden_layers': 12, 'pad_token_id': 0, 'pooler_fc_size': 768, 'pooler_num_attention_heads': 12, 'pooler_num_fc_layers': 3, 'pooler_size_per_head': 128, 'pooler_type': 'first_token_transform', 'position_embedding_type': 'absolute', 'type_vocab_size': 2, 'vocab_size': 119547, '_commit_hash': '82b194c0b3ea1fcad65f1eceee04adb26f9f71ac'}, {})
Epoch: 0
Training loss: 0.46166665077209473 - MAE: 0.532284292943485
Validation loss : 0.21881521575980717 - MAE: 0.35093047126771504
Epoch: 1
Training loss: 0.19428934633731842 - MAE: 0.3369849436358454
Validation loss : 0.17015555004278818 - MAE: 0.3188480005836794
Epoch: 2
Training loss: 0.17059184610843658 - MAE: 0.3135526208759563
Validation loss : 0.16331283085876042 - MAE: 0.3111560966605882
Epoch: 3
Training loss: 0.1648101744055748 - MAE: 0.30816099238754846
Validation loss : 0.15740243097146353 - MAE: 0.3036171154612899
Epoch: 4
Training loss: 0.16064140915870667 - MAE: 0.3034752969970701
Validation loss : 0.1544146024518543 - MAE: 0.3000950328112062
Epoch: 5
Training loss: 0.15893334209918974 - MAE: 0.30019076958852603
Validation loss : 0.15207635197374555 - MAE: 0.2973798486881051
Epoch: 6
Training loss: 0.15733025580644608 - MAE: 0.298333740307608
Validation loss : 0.15064537939098147 - MAE: 0.2956621068139803
Epoch: 7
Training loss: 0.1533995896577835 - MAE: 0.2953341499795722
Validation loss : 0.14883457786507076 - MAE: 0.2933132114117648
Epoch: 8
Training loss: 0.15376180291175842 - MAE: 0.2940413396593056
Validation loss : 0.1487489938735962 - MAE: 0.29380870235239887
Epoch: 9
Training loss: 0.1510305792093277 - MAE: 0.2921084560611642
Validation loss : 0.14708556234836578 - MAE: 0.2915289821381632
Epoch: 10
Training loss: 0.15110637426376342 - MAE: 0.2922121841602223
Validation loss : 0.14670881297853258 - MAE: 0.2911653635264904
Epoch: 11
Training loss: 0.1488349175453186 - MAE: 0.2889507358141949
Validation loss : 0.14464906023608315 - MAE: 0.28820148464954054
Epoch: 12
Training loss: 0.14891418755054475 - MAE: 0.29070937547388537
Validation loss : 0.14401954164107642 - MAE: 0.2873828016254966
Epoch: 13
Training loss: 0.1495919942855835 - MAE: 0.2898801773120928
Validation loss : 0.14271563208765453 - MAE: 0.2851468490550366
Epoch: 14
Training loss: 0.14855773389339447 - MAE: 0.28958241262300716
Validation loss : 0.14220061318741906 - MAE: 0.2845612303188776
Epoch: 15
Training loss: 0.14888249456882477 - MAE: 0.2899555840495182
Validation loss : 0.1420163835088412 - MAE: 0.2840199988754225
Epoch: 16
Training loss: 0.14737528800964356 - MAE: 0.2884658645299053
Validation loss : 0.14170359654559028 - MAE: 0.28285520851160917
Epoch: 17
Training loss: 0.14756221681833268 - MAE: 0.2894349343213634
Validation loss : 0.14145300537347794 - MAE: 0.28289574169003384
Epoch: 18
Training loss: 0.14682800233364104 - MAE: 0.288245846442026
Validation loss : 0.14125067657894558 - MAE: 0.2821163701519336
Epoch: 19
Training loss: 0.14368731707334517 - MAE: 0.2856022917832621
Validation loss : 0.1415682186683019 - MAE: 0.2820369618412293
Prediction MAE: 0.2689
Finished at: 18:07:27
Time taken: 6693 s.