diff options
| author | YurenHao0426 <blackhao0426@gmail.com> | 2026-06-13 12:35:36 -0500 |
|---|---|---|
| committer | YurenHao0426 <blackhao0426@gmail.com> | 2026-06-13 12:35:36 -0500 |
| commit | 66e0d8b9fd4d0f7a2231d689c055e26fdf1cf04a (patch) | |
| tree | c29cba61124018755a19b02c9d33e3ad5f2e05cc /research/flossing/engelken_python/debug_n80_k40_3epoch.json | |
Curated export for clone-and-run Maze training (2x A6000) + diagnostics.
trm/hrm pretrain.py carry trajectory-augmentation code (backward-compatible).
Heavy artifacts (checkpoints/wandb/npz) gitignored; see PROVENANCE.md.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Diffstat (limited to 'research/flossing/engelken_python/debug_n80_k40_3epoch.json')
| -rw-r--r-- | research/flossing/engelken_python/debug_n80_k40_3epoch.json | 69 |
1 files changed, 69 insertions, 0 deletions
diff --git a/research/flossing/engelken_python/debug_n80_k40_3epoch.json b/research/flossing/engelken_python/debug_n80_k40_3epoch.json new file mode 100644 index 0000000..47e1167 --- /dev/null +++ b/research/flossing/engelken_python/debug_n80_k40_3epoch.json @@ -0,0 +1,69 @@ +{ + "config": { + "hidden_size": 80, + "train_epochs": 3, + "inter_period": 100, + "inter_epochs": 0, + "pre_epochs": 0, + "max_inter_episodes": 0, + "batch_size": 16, + "input_dim": 1, + "train_steps": 300, + "lyap_steps": 55, + "floss_input_steps": 300, + "seed_ic": 1, + "seed_input": 1, + "seed_net": 1, + "seed_ons": 1, + "lr": 0.001, + "beta1": 0.9, + "beta2": 0.999, + "init_type": 1, + "recurrent_gain": 1.0, + "recurrent_mean_gain": 0.0, + "input_scale": 1.0, + "delay": 10, + "ws_std": 1.0, + "ws_mean": 0.0, + "wr_std": 1.0, + "wr_mean": 0.0, + "b_std": 0.1, + "b_mean": 0.0, + "n_lyap": 40, + "task": -1, + "lyap_target": 0.0, + "eval_every": 1, + "eval_batches": 1, + "log_every_floss": 25, + "device": "cuda", + "out": "research/flossing/engelken_python/debug_n80_k40_3epoch.json" + }, + "evals": [ + { + "epoch": 1, + "train_loss": 2.6957058906555176, + "train_accuracy": 0.5028914590747331, + "eval_loss": 2.1269004344940186, + "eval_accuracy": 0.5124555160142349, + "elapsed": 0.5589253902435303 + }, + { + "epoch": 2, + "train_loss": 2.2246620655059814, + "train_accuracy": 0.4971085409252669, + "eval_loss": 1.894472599029541, + "eval_accuracy": 0.5113434163701067, + "elapsed": 0.888566255569458 + }, + { + "epoch": 3, + "train_loss": 1.96369206905365, + "train_accuracy": 0.5044483985765125, + "eval_loss": 1.9043740034103394, + "eval_accuracy": 0.4853202846975089, + "elapsed": 1.2373430728912354 + } + ], + "floss": [], + "task": [] +}
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