| { | |
| "model_id": "dummy_discriminator_v1_uid_379", | |
| "model_type": "detection", | |
| "description": "Dummy discriminator model for testing", | |
| "version": "1.0.0", | |
| "author": "kenjon", | |
| "miner_identity": { | |
| "uid": 379, | |
| "coldkey": "ken_coldkey", | |
| "hotkey": "hot4", | |
| "netuid": 21, | |
| "network": "test", | |
| "subnet": "BitMind" | |
| }, | |
| "architecture": { | |
| "base_model": "custom_cnn", | |
| "num_classes": 3, | |
| "input_shape": [ | |
| 3, | |
| 224, | |
| 224 | |
| ], | |
| "output_shape": [ | |
| 3 | |
| ], | |
| "model_type": "detection" | |
| }, | |
| "preprocessing": { | |
| "normalization": "imagenet", | |
| "resize": [ | |
| 224, | |
| 224 | |
| ], | |
| "augmentation": [ | |
| "random_horizontal_flip" | |
| ] | |
| }, | |
| "training": { | |
| "optimizer": "adam", | |
| "learning_rate": 0.001, | |
| "batch_size": 32, | |
| "epochs": 10, | |
| "loss_function": "cross_entropy" | |
| }, | |
| "performance": { | |
| "accuracy": 0.85, | |
| "precision": 0.83, | |
| "recall": 0.87, | |
| "f1_score": 0.85 | |
| }, | |
| "dependencies": { | |
| "onnxruntime": ">=1.15.0", | |
| "numpy": ">=1.21.0", | |
| "torch": ">=2.0.0" | |
| }, | |
| "usage": { | |
| "input_format": "numpy array (3, 224, 224)", | |
| "output_format": "numpy array (3,) - probabilities for [real, synthetic, semisynthetic]", | |
| "example": "model.predict(image_array)" | |
| }, | |
| "submission_info": { | |
| "submitted_at": "2024-01-01T00:00:00Z", | |
| "submission_block": 0, | |
| "model_hash": "54a787bfd285aed8139c35a820a50cb13a045aa05e475e5227cd0819603d9d08", | |
| "file_size": 22274 | |
| } | |
| } |