mini-agi-replication / code /harness /run_lrscale.sh
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Revision 2: step density matched; headline replicates
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#!/usr/bin/env bash
# R3 (trunk 0.1x, chess, 524k) at FIXED probe learning-rate scales, both seeds.
# Separates the plasticity controller's state at the base from the seed.
set -u
PY=.venv/bin/python
run() { # seed scale
local out=runs/probes/s_seed$1/L_swap_t0.1_scale$2
[ -f $out/probe.json ] && return
OMP_NUM_THREADS=6 $PY harness/probe.py --config configs/rep_s.yaml --base runs/bases/s_seed$1 \
--out $out --trunk-mult 0.1 --lanes chess --lr-scale $2 > $out.log 2>&1 || echo "FAILED $out"
}
for sc in 0.1 0.3 0.6 1.0; do run 0 $sc & run 1 $sc; wait; done
echo "lrscale done"