实验共分三个数据集:fixed、open、semi
- accuracy/loss中红色线为train,蓝色线为val
- 每个数据集中表现最好(准确率最高/最稳定)一组的序号加粗显示
序号 | train batch | train Iterations | base Ir | accuracy | loss | matrix |
---|---|---|---|---|---|---|
0 | 64 | 1000 | 0.05 | |||
1 | 64 | 5000 | 0.05 | |||
2 | 64 | 3000 | 0.1 | |||
3 | 64 | 10000 | 0.1 | |||
8 | 64 | 10000 | 0.2 | |||
9 | 64 | 10000 | 0.05 |
序号 | train batch | train Iterations | base Ir | accuracy | loss | matrix |
---|---|---|---|---|---|---|
0 | 64 | 1000 | 0.05 | |||
1 | 64 | 3000 | 0.1 | |||
2 | 64 | 3000 | 0.01 | |||
3 | 64 | 3000 | 0.2 | |||
4 | 64 | 3000 | 0.25 | |||
5 | 64 | 3000 | 0.15 | |||
6 | 64 | 5000 | 0.15 | |||
7 | 64 | 10000 | 0.15 |
序号 | train batch | train Iterations | base Ir | accuracy | loss | matrix |
---|---|---|---|---|---|---|
0 | 64 | 1000 | 0.1 | |||
1 | 64 | 10000 | 0.15 | |||
2 | 64 | 10000 | 0.1 |