| { | |
| "model_name": "APKBert", | |
| "model_type": "apkbert", | |
| "vocab_size": 8000, | |
| "d_model": 192, | |
| "n_heads": 4, | |
| "n_transformer": 4, | |
| "ffn_dim": 384, | |
| "d_proj": 48, | |
| "max_seq": 1024, | |
| "gcn_layers": 3, | |
| "node_dim": 64, | |
| "temperature": 0.07, | |
| "training_epochs": 500, | |
| "training_apks": 20, | |
| "java_files": 165755, | |
| "framework": "pytorch", | |
| "authors": [ | |
| "YOUR_NAME" | |
| ], | |
| "description": "Multimodal pretrained model for Android APK representation. Combines Java Transformer encoder + XML GCN encoder with a cross-modal fusion module trained via NT-Xent loss." | |
| } |