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POLCA curvature artifacts — beetle-bilingual-l2-50-sequential-33-67-b3-fineweb-100m-nld-eng
Per-checkpoint loss-landscape data extracted during training by
beetlelm/src/training/polca_extractor.py. These are not model weights — the trained
checkpoints for this run are on the model repo Beetle-FineWeb-100M/beetle-bilingual-l2-50-sequential-33-67-b3-fineweb-100m-nld-eng as step-<N> branches.
One file per checkpoint, step_<N>.pt (torch, ~28 GB each):
| key | shape | meaning |
|---|---|---|
grad_basis |
[8, n_params] f32 |
gradient-subspace basis |
grad_singvals |
[8] f32 |
corresponding singular values |
hess_eigvecs |
[32, n_params] f32 |
top Hessian eigenvectors |
hess_eigvals |
[32] f32 |
corresponding eigenvalues |
param_names, param_shapes, param_count |
flat-vector layout for the rows above | |
spec, schema_version |
extractor configuration |
Steps present: 0, 1
import torch
d = torch.load("step_0.pt", map_location="cpu", weights_only=False, mmap=True)
d["hess_eigvals"] # [32]
d["hess_eigvecs"][0] # top eigenvector, flat over param_names/param_shapes
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