File size: 4,033 Bytes
cfa974b
fc55e62
665d75c
425386f
f55e3b9
5019cee
eec7ac4
8628ba9
076a253
5ec6f2c
717c05c
878d68d
34643d0
c05ccf2
f2d0e23
baeefae
9e4ac6e
ee7acce
d31362a
eed16d8
703c7e8
09d1e37
0cfc234
43961a7
993ebd6
5f70595
a3b4972
5bb8321
eae5350
21a94f3
d77e95c
369593d
4e53f69
aaaa760
4ca7b6d
0f2d208
295a503
1b9b9b3
7ef3b2e
d417def
bc465eb
4d5e07f
17c63b7
03eb1f2
2303c43
5e8ab12
aa967e5
17b9fbf
480eed1
e8fbc28
715e27c
6959651
978b6e7
faaf990
bcd7e2f
fd16e3f
c6f9f77
c33b830
eaebeb9
a374197
bbc48a4
4f69e45
77ef3b5
db42719
ce9592d
a7d8a04
1782a6b
e64bb13
4a1789a
2392ed6
e41d4b0
787f42a
81b2038
953f295
627d174
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
Started at: 23:00:37
({'_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: 0.5618916714191436 - MAE: 0.6015702935237158
Validation loss : 0.23314650356769562 - MAE: 0.3773210653780387
Epoch: 1
Training loss: 0.20965107679367065 - MAE: 0.3481826873910709
Validation loss : 0.19068391786681282 - MAE: 0.33927394666266275
Epoch: 2
Training loss: 0.18605725824832917 - MAE: 0.3292951781245418
Validation loss : 0.17874461743566725 - MAE: 0.32678830517492596
Epoch: 3
Training loss: 0.1768487823009491 - MAE: 0.32072544490867355
Validation loss : 0.17256934940814972 - MAE: 0.320745914396658
Epoch: 4
Training loss: 0.17179346859455108 - MAE: 0.31437315506334385
Validation loss : 0.16680398417843711 - MAE: 0.31390839921509817
Epoch: 5
Training loss: 0.1671624544262886 - MAE: 0.31020740929049245
Validation loss : 0.1628272450632519 - MAE: 0.3093300725642431
Epoch: 6
Training loss: 0.16541881918907164 - MAE: 0.3092581055991064
Validation loss : 0.15956920054223803 - MAE: 0.3054974760532523
Epoch: 7
Training loss: 0.16297374725341796 - MAE: 0.30469920608237766
Validation loss : 0.15749897228346932 - MAE: 0.30334219770056964
Epoch: 8
Training loss: 0.15989699959754944 - MAE: 0.3033601720994537
Validation loss : 0.15546553913089964 - MAE: 0.30062286351696244
Epoch: 9
Training loss: 0.15992846071720124 - MAE: 0.30185787164957345
Validation loss : 0.15384131173292795 - MAE: 0.2984240557585207
Epoch: 10
Training loss: 0.15828679382801056 - MAE: 0.29980308787138205
Validation loss : 0.15290816045469707 - MAE: 0.2975431713997515
Epoch: 11
Training loss: 0.15493258088827133 - MAE: 0.2973575705594731
Validation loss : 0.15144984589682686 - MAE: 0.2954805529191364
Epoch: 12
Training loss: 0.15584740221500396 - MAE: 0.29749784073181906
Validation loss : 0.15094241499900818 - MAE: 0.29519648850108504
Epoch: 13
Training loss: 0.15435074210166932 - MAE: 0.2954648359638739
Validation loss : 0.150347168246905 - MAE: 0.29487883116425584
Epoch: 14
Training loss: 0.15319505631923674 - MAE: 0.2942873219247174
Validation loss : 0.14915560103125042 - MAE: 0.2932059427113675
Epoch: 15
Training loss: 0.1526821392774582 - MAE: 0.2945930719065404
Validation loss : 0.14802650113900503 - MAE: 0.2915837462855972
Epoch: 16
Training loss: 0.1518399804830551 - MAE: 0.29311574106401955
Validation loss : 0.1483207427793079 - MAE: 0.2923333835649399
Epoch: 17
Training loss: 0.1509041514992714 - MAE: 0.2910363439889506
Validation loss : 0.14711131072706646 - MAE: 0.29058002538346256
Epoch: 18
Training loss: 0.1500980767607689 - MAE: 0.29139070188556526
Validation loss : 0.14682781447966894 - MAE: 0.29044037283111757
Epoch: 19
Training loss: 0.14820677936077117 - MAE: 0.287626988531874
Validation loss : 0.14713190661536324 - MAE: 0.2909697810632132
Epoch: 20
Training loss: 0.14967434287071227 - MAE: 0.29213706428140457
Validation loss : 0.1465355290306939 - MAE: 0.29022969550633393
Epoch: 21
Training loss: 0.14696866214275361 - MAE: 0.28729688094942263
Validation loss : 0.14543481833404964 - MAE: 0.2884103301515173
Epoch: 22
Training loss: 0.14705659985542296 - MAE: 0.2889700995995005
Validation loss : 0.14586791313356823 - MAE: 0.2895050557617115
Epoch: 23
Training loss: 0.14662223011255265 - MAE: 0.2878923435010157
Validation loss : 0.14558260639508566 - MAE: 0.28931056553549356
Epoch: 24