Model History

Tracking the brains behind the Fruita Guesser.

Version Deployed On Validation Score Actions
2.0.1 Apr 27, 2026, 21:44
0%
Raw Metadata Payload 
{
    "model_version": "2.0.1",
    "model_architecture": "YOLODetectionTrainer",
    "base_model": "yolo26x.pt",
    "num_classes": 10,
    "classes": [
        "Banana",
        "Apple",
        "Orange",
        "Lemon",
        "Tomato",
        "Carrot",
        "Pepper",
        "Potato",
        "Cucumber",
        "Onion"
    ],
    "hyperparameters": {
        "batch_size": 32,
        "num_epochs": 100,
        "img_size": 320,
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    },
    "training_time_s": 10504.4,
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    "best_fitness": 0.5935,
    "optimizer": "MuSGD",
    "lr_final": 0.000597,
    "model_params": 58831668,
    "model_gflops": 0.0,
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    "speed_postprocess_ms": 0.065,
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            "Cucumber",
            "Onion"
        ],
        "precision": 0.857712,
        "recall": 0.686624,
        "mAP50": 0.763133,
        "mAP50_95": 0.593447,
        "box_loss": 0,
        "cls_loss": 0,
        "dfl_loss": 0,
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    },
    "export_timestamp": "2026-04-27 19:46:57"
}
2.0.0 Apr 26, 2026, 07:57
0%
Raw Metadata Payload 
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        "Carrot",
        "Pepper",
        "Potato",
        "Cucumber",
        "Onion"
    ],
    "hyperparameters": {
        "batch_size": 32,
        "num_epochs": 100,
        "img_size": 320,
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    },
    "training_time_s": 100292.3,
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    "best_fitness": 0.43104,
    "optimizer": "MuSGD",
    "lr_final": 0.00327,
    "model_params": 58831668,
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        ],
        "precision": 0.720858,
        "recall": 0.472166,
        "mAP50": 0.534299,
        "mAP50_95": 0.431046,
        "box_loss": 0,
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    },
    "export_timestamp": "2026-04-25 19:17:26"
}
0.1.1 Mar 23, 2026, 21:36
0%
Raw Metadata Payload 
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    "num_classes": 10,
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        "Carrot",
        "Pepper",
        "Potato",
        "Cucumber",
        "Onion"
    ],
    "hyperparameters": {
        "batch_size": 32,
        "num_epochs": 100,
        "img_size": 320,
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    },
    "training_time_s": 32348.0,
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    "lr_final": 0.000597,
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        "mAP50": 0.554996,
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    "export_timestamp": "2026-03-13 19:24:03"
}
1.4.1 Mar 12, 2026, 19:06
96.24%
Raw Metadata Payload 
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    "model_architecture": "EFNImageClassifierTrainer",
    "num_classes": 10,
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        "carrot",
        "cucumber",
        "lemon",
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        "batch_size": 128,
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    "dataset_sizes": {
        "train": 47757,
        "val": 15889
    },
    "best_val_accuracy": 96.24,
    "export_timestamp": "2026-03-12 18:26:20"
}