| { |
| "model_id": "dummy_discriminator_v1_uid_1", |
| "model_type": "detection", |
| "description": "Dummy discriminator model for testing", |
| "version": "1.0.0", |
| "author": "kenjon", |
| "miner_identity": { |
| "uid": 1, |
| "coldkey": "5Cvk3JRphVXXrwtJXP3xnDz9UF371P8ndAKfFA4JDxmTucQV", |
| "hotkey": "5FsPe1tZym7PgP9NqzEsiSG2bvuGCR9fPDBBFqUY1Hm56gwe", |
| "netuid": 379, |
| "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": "adf03e2aca622b5ec63e93af27f58a04f2dcd3e20229f1135099d36fe31e5e18", |
| "file_size": 22274 |
| } |
| } |
