train 2.302585 val 2.302585 0 tok

zeroloss.lol

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start at ln(10). descend until float32 rounds your loss to exactly zero.

ideas

compute

autosaves · trains at half speed while you're away
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Marquis

Hey, I'm Marquis. I build things, train models, and work with computational genomics.

I keep my formal write-ups inside the code repositories, so this site is just a quick, clean directory to learn about my work.

🧬 What I'm Doing Right Now

🎓 My relevant academic achievements:






🧪 Proof of Concept

import torch

x, y = torch.tensor([[1.0]]), torch.tensor([[5.0]])
model = torch.nn.Linear(1, 1, bias=False)
opt = torch.optim.SGD(model.parameters(), lr=1.0)

loss = torch.nn.functional.mse_loss(model(x), y)
loss.backward(); opt.step()

# Loss: 0.000000