1.6 KiB
1.6 KiB
Deep CFR Profile 2026-05-07
Run directory:
/mnt/2tbhdd/coolrl-lost-cities-runs/2026-05-07_024616_deep_cfr_profile_10iter
Command:
uv run python -m coolrl_lost_cities.games.classic.deep_cfr.cli train \
--config configs/deep_cfr/deep_cfr_selfplay_full_depth_slot_playability.yaml \
--checkpoint-dir /mnt/2tbhdd/coolrl-lost-cities-runs/2026-05-07_024616_deep_cfr_profile_10iter \
--max-iterations 10 \
--save-latest-only
Summary
The run completed 10 iterations. Loss values stayed finite.
Non-evaluation iterations were iterations 1-4 and 6-9:
| Metric | Average |
|---|---|
iteration_seconds |
9.132692 |
traversal_seconds |
3.143286 |
memory_add_seconds |
0.171213 |
advantage_train_seconds |
5.061859 |
strategy_train_seconds |
0.911080 |
evaluation_seconds |
0.000004 |
checkpoint_seconds |
0.015469 |
batch_tensor_seconds |
1.613572 |
Evaluation iterations were iterations 5 and 10:
| Metric | Average |
|---|---|
iteration_seconds |
22.676999 |
traversal_seconds |
3.233497 |
memory_add_seconds |
0.145742 |
advantage_train_seconds |
7.502700 |
strategy_train_seconds |
0.915639 |
evaluation_seconds |
11.004282 |
checkpoint_seconds |
0.019737 |
batch_tensor_seconds |
1.704181 |
Per-Iteration Notes
advantage_memory_size grew from 43,019 at iteration 1 to 204,903 at
iteration 10.
advantage_player_0_sample_seconds + advantage_player_1_sample_seconds grew
from about 0.521s at iteration 1 to about 8.231s at iteration 10.
Traversal stayed near 3 seconds per iteration after iteration 1, except for normal run-to-run variance.