Advances, Systems and Applications
Table 4 Results of train and validation in ConvLSTMConv
From: ConvLSTMConv network: a deep learning approach for sentiment analysis in cloud computing
Epochs | Loss | Accuracy | ||
|---|---|---|---|---|
Train | Validation | Train | Validation | |
1 | 0.9886 | 0.9755 | 0.5006 | 0.5000 |
2 | 0.9635 | 0.9516 | 0.5222 | 0.5500 |
3 | 0.9407 | 0.9298 | 0.5244 | 0.5350 |
4 | 0.9197 | 0.9098 | 0.5556 | 0.5300 |
5 | 0.9004 | 0.8914 | 0.5250 | 0.5300 |
... | ... | ... | ... | |
20 | 0.7363 | 0.7361 | 0.5872 | 0.5700 |
21 | 0.7258 | 0.7251 | 0.6117 | 0.5950 |
22 | 0.7131 | 0.7127 | 0.6328 | 0.6150 |
23 | 0.6931 | 0.6879 | 0.6689 | 0.6550 |
24 | 0.6775 | 0.6822 | 0.6794 | 0.6550 |
... | ... | ... | ... | |
50 | 0.3586 | 0.4461 | 0.8711 | 0.8250 |
51 | 0.3564 | 0.4691 | 0.8822 | 0.8050 |
52 | 0.3867 | 0.4257 | 0.8650 | 0.8400 |
53 | 0.3545 | 0.3726 | 0.8902 | 0.8902 |