À propos de cet article
Publié en ligne: 11 nov. 2019
Pages: 47 - 52
DOI: https://doi.org/10.21307/ijanmc-2019-058
Mots clés
© 2019 Haoqi Yang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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OPTIMIZER PARAMETER SETTING
| Optimizer | parameter |
|---|---|
| SGD | lr=0.001, |
| Adam | lr=0.001, |
| Adamax | lr=0.002, |
| RMSprop | lr=0.001, |
AUGMENTATION RESULT
| Subset category | Number of samples |
|---|---|
| 73257 | |
| 531131 | |
| 26032 |
OPTIMIZERS TRAINING RESULTS
| optimizer | Top Accuracy/% |
|---|---|
| 87.350184 | |
| 89.090000 | |
| 88.955900 | |
| 88.676000 |
RESULT AFTER DATA AUGMENTATION
| Train sample number | test sample number | Best test accuracy | time |
|---|---|---|---|
| 73257 | 26032 | 90.01229 | 1h24min |
| 604388 | 26032 | 92.32483 | 6h17min |
RESULT OF DIFFERENT WEIGHT DECAY
| weight_decay | Train Acc%(e) | Test Acc%(e) |
|---|---|---|
| 0.01 | 89.01538(85) | 87.14659(85) |
| 0.005 | 91.59397(57) | 88.95590(57) |
| 0.0025 | 94.51470(88) | 90.01229(88) |
| 0.001 | 97.21119(90) | 89.70498(24) |