---
license: mit
tags: [atc, coconut, continuous-cot, graph-reasoning, checkpoints]
---

# ATC tree10 runs

Training artifacts for the **Abstract Token Curriculum (ATC)** twin-random-tree (size-10) experiment:
a 2x2x2x2 factorial over **loss** (CE vs sum-of-log), **reset_optimizer** (on/off),
**staging** (threshold/monotone vs revisit), and **uniform_prob** (0.1/0.5), plus related arms.

Each subfolder is one run and contains:
- `checkpoint_latest.pt` - full resumable state (weights + optimizer + curriculum position)
- `checkpoint_<n>.pt` - epoch-stamped snapshot(s)
- `config.json` - the run configuration
- `metrics.jsonl` - per-epoch metrics (eval/acc, stage, per-stage acc, losses)

Model: 2-layer / 8-head / 768-dim GPT-2 trained from scratch on symbolic reachability graphs.