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Parameter count (approx): compute per-layer: Conv params = kernel_H×kernel_W×in_ch×out_ch. Example rough total ~25–50M depending on widths.

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"filename":"nanawmv005rar", "model":"queen8-base", "epoch":5, "val_accuracy":0.652, "optimizer":"Adam", "learning_rate":0.0003, "created":"2026-03-24T12:00:00Z", "sha256":"" Parameter count (approx): compute per-layer: Conv params =