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README.md
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@@ -36,7 +36,10 @@ After the 36m 5 expert dataset training completes, the core model will be ready.
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It's legitimately wild watching the system sit there at 100% accuracy validation, but it requires additional complexity so that isn't the measure to analyze.
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The problem is solved for recall, but the internal structure's geometric system needs to align to the larger spectrum of rigidity that the smooth manifold
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deviations require to create a full cohesion, meaning more data. These smooth curves will hammer into rigid structures rather than rigid turning into smooth over time.
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36 million samples roughly 10 epochs should be a fair assessment. Hopefully the data isn't too much.
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It's legitimately wild watching the system sit there at 100% accuracy validation, but it requires additional complexity so that isn't the measure to analyze.
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The problem is solved for recall, but the internal structure's geometric system needs to align to the larger spectrum of rigidity that the smooth manifold
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deviations require to create a full cohesion, meaning more data. These smooth curves will hammer into rigid structures, rather than rigid turning into smooth over time.
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This experiment will determine if this training process is viable overall. As it stands I'm essentially just going to let this thing run now that it's going.
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The results will be ready when they're ready, and the outcome should represent a serious 896 dim caption utility for reuse, with a heavily prepared 128 dim geometric
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anchor system that will be entirely reusable as a pure geometric anchored bank.
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36 million samples roughly 10 epochs should be a fair assessment. Hopefully the data isn't too much.
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