| { | |
| "model": "RitualCNN", | |
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| "train": 13, | |
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| "train": 26, | |
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| "training": { | |
| "epochs_requested": 60, | |
| "best_epoch": 47, | |
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| "loss": "class-weighted cross-entropy", | |
| "augmentation": "On-the-fly, training split only: random rotation up to 15 degrees and translation up to 12 pixels, independently with 50% probability.", | |
| "seconds": 70.76, | |
| "pytorch_version": "2.8.0+cpu" | |
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| "validation_loss": 1.158913, | |
| "validation": { | |
| "accuracy": 0.6364, | |
| "macro_f1": 0.5978, | |
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| "Regium" | |
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| "per_class": { | |
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| "support": 5, | |
| "precision": 1.0, | |
| "recall": 0.4, | |
| "f1": 0.5714 | |
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| "support": 3, | |
| "precision": 0.75, | |
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| "f1": 0.8571 | |
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| "support": 5, | |
| "precision": 0.5556, | |
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| "precision": 0.5, | |
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| "f1": 0.6667 | |
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| "support": 7, | |
| "precision": 0.5556, | |
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| "results": { | |
| "accuracy": 0.75, | |
| "macro_f1": 0.6, | |
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| "f1": 0.8 | |
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| "interpretation": "A very small supplementary set; excluded from model selection." | |
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| "max_abs_error_vs_pytorch": 1.1920928955078125e-06, | |
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| "limitations": "The dataset contains only 163 labeled source files. The validation set has 3-7 files per class. No creator or session metadata is available for a grouped split, so similarly shaped drawings may appear in both splits. Validation does not establish real-world accuracy." | |
| } | |