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 | ![]() |
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| 1 | 64 | 5000 | 0.05 | ![]() |
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| 2 | 64 | 3000 | 0.1 | ![]() |
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| 3 | 64 | 10000 | 0.1 | ![]() |
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| 8 | 64 | 10000 | 0.2 | ![]() |
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| 9 | 64 | 10000 | 0.05 | ![]() |
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| 序号 | train batch | train Iterations | base Ir | accuracy | loss | matrix |
|---|---|---|---|---|---|---|
| 0 | 64 | 1000 | 0.05 | ![]() |
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| 1 | 64 | 3000 | 0.1 | ![]() |
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| 2 | 64 | 3000 | 0.01 | ![]() |
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| 3 | 64 | 3000 | 0.2 | ![]() |
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| 4 | 64 | 3000 | 0.25 | ![]() |
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| 5 | 64 | 3000 | 0.15 | ![]() |
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| 6 | 64 | 5000 | 0.15 | ![]() |
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| 7 | 64 | 10000 | 0.15 | ![]() |
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| 序号 | train batch | train Iterations | base Ir | accuracy | loss | matrix |
|---|---|---|---|---|---|---|
| 0 | 64 | 1000 | 0.1 | ![]() |
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| 1 | 64 | 10000 | 0.15 | ![]() |
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| 2 | 64 | 10000 | 0.1 | ![]() |
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