File size: 1,993 Bytes
2580b91
7854c75
7821db2
008b8e6
c8f3596
7da72c9
2dd1c9a
fca0f3b
a07e4e9
a97c2e7
1b0d706
ed4e6c9
6aac71b
e1dd7a2
2313b2e
cf32e65
e3de615
8996621
68f954d
2815d19
09b1507
2997f16
c4eb223
581539e
5d1233a
c4a0e68
48d5779
cb82242
f1798ed
d98280f
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
Started at: 12:33:13
({'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'}, {})
Started at: 12:33:33
({'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: 0.2627380798109854 - MAE: 0.38278085142725377
Validation loss : 0.16932305242076065 - MAE: 0.3149311706645701
Epoch: 1
Training loss: 0.16542933663033477 - MAE: 0.30756177255400824
Validation loss : 0.16402086480097336 - MAE: 0.3087971683062498
Epoch: 2
Training loss: 0.15851777656511826 - MAE: 0.3018450285688093
Validation loss : 0.16166364966016827 - MAE: 0.30361203261536157
Epoch: 3
Training loss: 0.15489405988141744 - MAE: 0.29820087542239454
Validation loss : 0.1598098436088273 - MAE: 0.3002950620767441
Epoch: 4
Training loss: 0.1532753614163158 - MAE: 0.29600003591654156
Validation loss : 0.16127075390382248 - MAE: 0.3000469737562008
Epoch: 5
Training loss: 0.15335883967804187 - MAE: 0.29639694240259423
Validation loss : 0.16794469546188007 - MAE: 0.3051992527627565
Epoch: 6
Training loss: 0.15394978187601976 - MAE: 0.2960797241989973
Validation loss : 0.16572481438969122 - MAE: 0.30282293683871414
Epoch: 7
Training loss: 0.1515098966733374 - MAE: 0.2945580024252841
Validation loss : 0.1668084469256979 - MAE: 0.3043735742972914
Stopped after 7 epochs.
Prediction MAE: 0.2888