File size: 1,914 Bytes
f23e365
a18bb6b
58589bf
f265d01
0818ec2
0a9c009
24e85dd
a58acb9
6fceb5e
c86491e
959220d
6c15bae
ce936e6
e4c90ae
5dd8aaa
0f25e02
577979a
a5857c4
12e8ad0
ec16b97
55fb6b4
37dce5a
7e9c025
69b1a71
1168057
9350bcb
6d9ed45
07e4acc
8c0f793
b0cd8c2
1b3df9f
cc43eed
d8fd292
475c612
6d4d4c6
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
Started at: 10:33:04
({'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: 0.3564325129985809 - MAE: 0.4552414725715618
Validation loss : 0.18773020969496834 - MAE: 0.32553494845443826
Epoch: 1
Training loss: 0.17612907350063323 - MAE: 0.31872134947862996
Validation loss : 0.16381340391106075 - MAE: 0.308260415750785
Epoch: 2
Training loss: 0.16027034759521486 - MAE: 0.3026793536114696
Validation loss : 0.15963727070225608 - MAE: 0.3011494824210524
Epoch: 3
Training loss: 0.15534854143857957 - MAE: 0.2974244996853385
Validation loss : 0.15933691958586374 - MAE: 0.29991946627990657
Epoch: 4
Training loss: 0.1527245408296585 - MAE: 0.2955902937517326
Validation loss : 0.1575192411740621 - MAE: 0.29847881255251885
Epoch: 5
Training loss: 0.15189078330993652 - MAE: 0.2935620033804208
Validation loss : 0.1559757110145357 - MAE: 0.29639157962701
Epoch: 6
Training loss: 0.15156741619110106 - MAE: 0.29227472025601425
Validation loss : 0.15559429095851052 - MAE: 0.29748247308555964
Epoch: 7
Training loss: 0.15064464747905731 - MAE: 0.2922846346816547
Validation loss : 0.15710073626703686 - MAE: 0.29788375014209795
Epoch: 8
Training loss: 0.15183804869651796 - MAE: 0.29387496248195116
Validation loss : 0.15468384904993904 - MAE: 0.29598511913259873
Epoch: 9
Training loss: 0.15077361583709717 - MAE: 0.29304298050176275
Validation loss : 0.1539903183778127 - MAE: 0.29680613556740265
Epoch: 10
Training loss: 0.14853922247886658 - MAE: 0.2898967604729548
Validation loss : 0.15302509235011208 - MAE: 0.2948937183017591