---
pretty_name: tiny-llm training logs
license: mit
tags:
- language-model
- pretraining
- learning-rate-schedule
- decentralized-training
- training-logs
size_categories:
- 1K<n<10K
---

# tiny-llm retained training evidence

1782 seed/horizon records across 594 configurations: cosine-to-zero and WSD
schedules, synchronous and four- and eight-worker decentralized training, at 20 to 160
global tokens per parameter, for 20.4M-parameter models on C4. Snapshot 2026-09-17.

This mirrors `doc/data/current-training/` in
[WangZesen/tiny-llm](https://github.com/WangZesen/tiny-llm). The website built from it is
at <https://wangzesen.github.io/tiny-llm/>.

## Layout

Retained artifacts are grouped into gzipped JSONL containers, one line per artifact:

```json
{"path":"logs/cosine/sync/h20/lr-0.01-b1-0.9-b2-0.99/s42/metrics.jsonl",
  "bytes":71410,"sha256":"...","text":"<the artifact verbatim>"}
```

`sources.json` is the index: it maps every artifact to its container and records the
digest of the original file. Metrics containers concatenate one gzip member per line, so
`offset` and `compressedBytes` address a single run's log directly; every other container
is a single stream. Placement is a pure rule, so a misfiled container is detectable.

## What is retained, and what is not

9836 artifacts are byte-identical to the files written
during training. The 1296 `metrics.jsonl` logs had two
members deleted from every train event: `local_grad_norms`, `local_losses`.
These are per-worker diagnostics for the packed models; no published figure, table or
curve reads them, and they were 37% of the logged bytes.

The transform is a deletion, not a re-serialization: no other byte of any line, and no
line, was changed, added or reordered. `sources.json.sha256` remains the digest of the
original file and can no longer be recomputed from this copy for those logs — but for the
cosine runs it stays independently attested by the retained `receipt.json`, which records
the trainer's own hash of `metrics.jsonl` and is checked on every verification run. The
complete pre-repack bundle, with the arrays intact, is this repo at revision
`per-file-original`.

## Verify and regenerate

```bash
uv run python scripts/export_publication.py --check --bundle hf://zesen-kth/tiny-llm
```

No GPU, campaign directory or checkpoint is needed. Verification checks every retained
byte against `sources.json` and every derived file against `checksums.json`.