EfficientNet-B3 BISINDO Indonesian Sign Language Classifier
Trained on 9169 images with 26 classes (A-Z BISINDO (Bahasa Isyarat Indonesia) sign language).
Usage
model = models.efficientnet_b3(pretrained=False)
model.classifier = nn.Sequential(
nn.Dropout(p=0.4),
nn.Linear(1536, 512),
nn.SiLU(),
nn.Dropout(p=0.3),
nn.Linear(512, 26)
)
model.load_state_dict(torch.load('efficientnet_bisindo_sign_language.pth'))
Training Result
Epoch | Train Loss | Train Acc | Val Loss | Val Acc |
---|---|---|---|---|
1 | 1.5356 | 0.7389 | 1.0504 | 0.9106 |
2 | 1.0970 | 0.8798 | 0.9385 | 0.9248 |
3 | 1.0251 | 0.8945 | 0.8828 | 0.9438 |
4 | 0.9710 | 0.9177 | 0.8689 | 0.9477 |
5 | 0.9382 | 0.9256 | 0.8370 | 0.9597 |
6 | 0.9161 | 0.9365 | 0.8222 | 0.9656 |
7 | 0.9052 | 0.9393 | 0.8133 | 0.9651 |
8 | 0.8904 | 0.9464 | 0.8094 | 0.9635 |
9 | 0.8756 | 0.9460 | 0.8023 | 0.9738 |
10 | 0.8656 | 0.9521 | 0.7939 | 0.9744 |
11 | 0.8609 | 0.9560 | 0.7836 | 0.9749 |
12 | 0.8544 | 0.9545 | 0.7876 | 0.9755 |
13 | 0.8396 | 0.9654 | 0.7929 | 0.9755 |
14 | 0.8415 | 0.9628 | 0.7776 | 0.9798 |
15 | 0.8333 | 0.9654 | 0.7827 | 0.9722 |
16 | 0.8286 | 0.9676 | 0.7695 | 0.9815 |
17 | 0.8235 | 0.9695 | 0.7761 | 0.9853 |
18 | 0.8155 | 0.9715 | 0.7714 | 0.9820 |
19 | 0.8151 | 0.9748 | 0.7589 | 0.9826 |
20 | 0.8139 | 0.9730 | 0.7756 | 0.9776 |
21 | 0.8018 | 0.9791 | 0.7613 | 0.9847 |
22 | 0.7942 | 0.9789 | 0.7475 | 0.9869 |
23 | 0.7859 | 0.9823 | 0.7458 | 0.9864 |
24 | 0.7871 | 0.9802 | 0.7538 | 0.9869 |
25 | 0.7880 | 0.9810 | 0.7525 | 0.9880 |
Inference Providers
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Model tree for Syizuril/bisindo-sign-language
Base model
google/efficientnet-b3