schema stringclasses 1
value | evidence_id stringclasses 4
values | source_reviewed_at timestamp[s]date 2026-08-08 10:24:12 2026-08-08 10:24:12 | subject dict | artifact dict | metric_observation dict | training_source dict | selection dict | claims dict | authority dict | unknowns dict |
|---|---|---|---|---|---|---|---|---|---|---|
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pythia-paths/trajectory-evidence/0.2 | pythia-70m-deduped:step1000:piqa:acc_norm | 2026-08-08T10:24:12 | {
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pythia-paths/trajectory-evidence/0.2 | pythia-70m-deduped:step73000:piqa:acc_norm | 2026-08-08T10:24:12 | {
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pythia-paths/trajectory-evidence/0.2 | pythia-70m-deduped:step143000:piqa:acc_norm | 2026-08-08T10:24:12 | {
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"g... |
Pythia Paths Evidence
A small, revision-pinned evidence bundle for examining model-training paths without converting a trend into authority.
Companion read-only interface: Pythia Paths Static Space (mutable navigation; the evidence files below remain digest-pinned).
Initial scope
- Model:
EleutherAI/pythia-70m-deduped - Run: the default public run only
- Context coverage: all 27 zero-shot reports in one pinned directory
- Detailed coverage: four post-outcome-selected metadata receipts
- Values: PIQA normalized accuracy and its reported standard error
- App scope: no model, training, or persistent-write action is initiated
This is not a multi-seed momentum study. The model run has 154 released weight-checkpoint positions, while the pinned zero-shot directory has only 27 checkpoint reports. The context layer includes all 27 and records that 127 positions have no report there. It does not call itself a complete trajectory.
PIQA was hand-selected after outcomes were available from 87 tasks common to all 27 reports, omitting 86 tasks. Four reports were also selected after outcomes for richer inspection; the other 23 still retain exact metric-source receipts. No representativeness is claimed. Selection is explicit in every detailed row and in the source manifest.
Provenance
For each branch label, the bundle records the target commit observed at the stated review time and reported safetensors LFS object ID, without downloading model bytes. Every metric links to an evaluation JSON and Git blob in a pinned commit of the official Pythia repository.
The historical evaluation JSON names a mutable branch, not an evaluated model
commit or artifact digest. Binding the reported metric to that observed branch target
is therefore not_proven; the two receipts remain separate.
Tokens seen are explicitly marked as derived from:
training step × 2,097,152 tokens per step.
Limitations
The upstream evaluation configuration differs between the early and later
reports—including batch size, device, and an early-only use_accelerate flag—and
it does not pin an exact evaluation-harness revision or sample count. Metric
comparability therefore remains not_proven.
This bundle does not establish causality, generality across seeds, a best checkpoint, an overall score, identity, preference, or permission for any action. No Pile text or model-generated text is included.
The app fetches both bundled same-origin data layers and the release lock with credentials omitted. Navigation to cited sources happens only when a visitor chooses a link.
release-lock.json binds exact files and detailed values for release consistency.
The JSON Schemas validate record shape and status vocabulary only; the release
lock and digest checks bind this reviewed release. Neither mechanism is a
signature or authenticates the publisher or upstream provenance. Verify dataset
checksums from this directory:
cd dataset
shasum -a 256 -c SHA256SUMS
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