Add full Part 5 evaluation metrics (Grand Finale)
Browse files
model_checkpoints/Primitive_Extractor/FSD50k/full_evaluation_result_part5.json
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{
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"dataset": "FSD50K Part 5 (Full - Grand Finale)",
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"total_samples_evaluated": 8189,
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"classes_detected": 199,
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"metrics": {
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"mAP_macro_percent": 71.17,
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"micro_f1_score_percent": 63.77,
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"macro_f1_score_percent": 50.01,
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"top_1_hit_rate_percent": 85.04
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},
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"checkpoint_used": "best_fsd50k_primitive_part1_to_5.pt",
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"analysis": "Full evaluation of the final fine-tuned model on the entire Part 5 dataset. Metrics demonstrate peak generalization and robust multi-label classification capabilities after completing the full FSD50K training pipeline."
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}
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