training_log.txt

nohup: ignoring input
2026-02-25 18:05:41,969 [INFO] __main__: ═══ WORLD MODEL TRAINING ═══
2026-02-25 18:05:41,969 [INFO] __main__:   Trajectories: data/training/tutoring_trajectories_merged.pt
2026-02-25 18:05:41,969 [INFO] __main__:   Device: cuda
2026-02-25 18:05:41,969 [INFO] __main__:   Config: obs=20, act=8, latent=128, hidden=512
2026-02-25 18:05:41,969 [INFO] __main__:   Rollout: horizon=5, discount=0.95, weight=0.50
2026-02-25 18:05:42,158 [INFO] __main__: Loaded trajectory dataset: 100901 trajectories, seq_len=20
2026-02-25 18:05:42,172 [INFO] __main__:   Train: 95856 trajectories, Eval: 5045 trajectories
2026-02-25 18:05:42,196 [INFO] __main__: TutoringRSSM initialized: 2802838 trainable params (obs=20, act=8, latent=128, hidden=512)
2026-02-25 18:05:43,302 [INFO] __main__:   AMP: enabled (dtype=torch.bfloat16)
2026-02-25 18:06:54,815 [INFO] __main__: Epoch   1/100 | train_loss=1.1062 (recon=0.8257 kl=0.0119 rew=0.1221 done=0.2374 rollout=1.0153) | eval_loss=0.5283 | lr=1.00e-04 | 71.5s (1340 samples/s) | gpu_mem=1.3GB
2026-02-25 18:06:54,842 [INFO] __main__:   ★ New best eval loss: 0.5283 → checkpoints/world-model/tutoring_rssm_best.pt
2026-02-25 18:08:05,197 [INFO] __main__: Epoch   2/100 | train_loss=0.5135 (recon=0.2962 kl=0.0162 rew=0.1142 done=0.1189 rollout=0.4816) | eval_loss=0.4655 | lr=9.99e-05 | 70.4s (1362 samples/s) | gpu_mem=1.3GB
2026-02-25 18:08:05,217 [INFO] __main__:   ★ New best eval loss: 0.4655 → checkpoints/world-model/tutoring_rssm_best.pt
2026-02-25 18:09:15,732 [INFO] __main__: Epoch   3/100 | train_loss=0.4439 (recon=0.2452 kl=0.0068 rew=0.1086 done=0.0963 rollout=0.4309) | eval_loss=0.4277 | lr=9.98e-05 | 70.5s (1359 samples/s) | gpu_mem=1.3GB
2026-02-25 18:09:15,753 [INFO] __main__:   ★ New best eval loss: 0.4277 → checkpoints/world-model/tutoring_rssm_best.pt
2026-02-25 18:10:25,717 [INFO] __main__: Epoch   4/100 | train_loss=0.4088 (recon=0.2179 kl=0.0087 rew=0.1034 done=0.0865 rollout=0.4011) | eval_loss=0.3946 | lr=9.96e-05 | 70.0s (1370 samples/s) | gpu_mem=1.3GB
2026-02-25 18:10:25,739 [INFO] __main__:   ★ New best eval loss: 0.3946 → checkpoints/world-model/tutoring_rssm_best.pt
2026-02-25 18:11:36,483 [INFO] __main__: Epoch   5/100 | train_loss=0.3867 (recon=0.2010 kl=0.0095 rew=0.0995 done=0.0816 rollout=0.3817) | eval_loss=0.3807 | lr=9.94e-05 | 70.7s (1355 samples/s) | gpu_mem=1.3GB
2026-02-25 18:11:36,506 [INFO] __main__:   ★ New best eval loss: 0.3807 → checkpoints/world-model/tutoring_rssm_best.pt
2026-02-25 18:12:47,250 [INFO] __main__: Epoch   6/100 | train_loss=0.3736 (recon=0.1909 kl=0.0102 rew=0.0966 done=0.0785 rollout=0.3709) | eval_loss=0.3709 | lr=9.91e-05 | 70.7s (1355 samples/s) | gpu_mem=1.3GB
2026-02-25 18:12:47,274 [INFO] __main__:   ★ New best eval loss: 0.3709 → checkpoints/world-model/tutoring_rssm_best.pt
2026-02-25 18:13:58,025 [INFO] __main__: Epoch   7/100 | train_loss=0.3653 (recon=0.1835 kl=0.0108 rew=0.0947 done=0.0765 rollout=0.3652) | eval_loss=0.3697 | lr=9.88e-05 | 70.8s (1355 samples/s) | gpu_mem=1.3GB
2026-02-25 18:13:58,046 [INFO] __main__:   ★ New best eval loss: 0.3697 → checkpoints/world-model/tutoring_rssm_best.pt
2026-02-25 18:15:08,628 [INFO] __main__: Epoch   8/100 | train_loss=0.3587 (recon=0.1779 kl=0.0113 rew=0.0928 done=0.0748 rollout=0.3606) | eval_loss=0.3572 | lr=9.84e-05 | 70.6s (1358 samples/s) | gpu_mem=1.3GB
2026-02-25 18:15:08,651 [INFO] __main__:   ★ New best eval loss: 0.3572 → checkpoints/world-model/tutoring_rssm_best.pt
2026-02-25 18:16:19,315 [INFO] __main__: Epoch   9/100 | train_loss=0.3522 (recon=0.1725 kl=0.0115 rew=0.0910 done=0.0731 rollout=0.3563) | eval_loss=0.3507 | lr=9.80e-05 | 70.7s (1357 samples/s) | gpu_mem=1.3GB
2026-02-25 18:16:19,340 [INFO] __main__:   ★ New best eval loss: 0.3507 → checkpoints/world-model/tutoring_rssm_best.pt
2026-02-25 18:17:30,150 [INFO] __main__: Epoch  10/100 | train_loss=0.3475 (recon=0.1685 kl=0.0114 rew=0.0898 done=0.0719 rollout=0.3534) | eval_loss=0.3452 | lr=9.76e-05 | 70.8s (1354 samples/s) | gpu_mem=1.3GB
2026-02-25 18:17:30,171 [INFO] __main__:   ★ New best eval loss: 0.3452 → checkpoints/world-model/tutoring_rssm_best.pt
2026-02-25 18:18:41,124 [INFO] __main__: Epoch  11/100 | train_loss=0.3426 (recon=0.1645 kl=0.0112 rew=0.0886 done=0.0707 rollout=0.3503) | eval_loss=0.3483 | lr=9.70e-05 | 70.9s (1351 samples/s) | gpu_mem=1.3GB
2026-02-25 18:19:51,548 [INFO] __main__: Epoch  12/100 | train_loss=0.3404 (recon=0.1625 kl=0.0110 rew=0.0879 done=0.0701 rollout=0.3492) | eval_loss=0.3401 | lr=9.65e-05 | 70.4s (1361 samples/s) | gpu_mem=1.3GB
2026-02-25 18:19:51,571 [INFO] __main__:   ★ New best eval loss: 0.3401 → checkpoints/world-model/tutoring_rssm_best.pt
2026-02-25 18:21:02,429 [INFO] __main__: Epoch  13/100 | train_loss=0.3379 (recon=0.1607 kl=0.0111 rew=0.0871 done=0.0693 rollout=0.3476) | eval_loss=0.3385 | lr=9.59e-05 | 70.9s (1353 samples/s) | gpu_mem=1.3GB
2026-02-25 18:21:02,450 [INFO] __main__:   ★ New best eval loss: 0.3385 → checkpoints/world-model/tutoring_rssm_best.pt
2026-02-25 18:22:12,961 [INFO] __main__: Epoch  14/100 | train_loss=0.3375 (recon=0.1606 kl=0.0112 rew=0.0868 done=0.0690 rollout=0.3473) | eval_loss=0.3408 | lr=9.52e-05 | 70.5s (1359 samples/s) | gpu_mem=1.3GB
2026-02-25 18:23:23,462 [INFO] __main__: Epoch  15/100 | train_loss=0.3363 (recon=0.1591 kl=0.0114 rew=0.0866 done=0.0688 rollout=0.3467) | eval_loss=0.3414 | lr=9.46e-05 | 70.5s (1360 samples/s) | gpu_mem=1.3GB
2026-02-25 18:24:33,788 [INFO] __main__: Epoch  16/100 | train_loss=0.3351 (recon=0.1586 kl=0.0111 rew=0.0862 done=0.0685 rollout=0.3456) | eval_loss=0.3473 | lr=9.38e-05 | 70.3s (1363 samples/s) | gpu_mem=1.3GB
2026-02-25 18:25:44,746 [INFO] __main__: Epoch  17/100 | train_loss=0.5437 (recon=0.1957 kl=0.3120 rew=0.0954 done=0.0791 rollout=0.4052) | eval_loss=0.4109 | lr=9.30e-05 | 71.0s (1351 samples/s) | gpu_mem=1.3GB
2026-02-25 18:26:55,420 [INFO] __main__: Epoch  18/100 | train_loss=0.3521 (recon=0.1768 kl=0.0077 rew=0.0899 done=0.0727 rollout=0.3571) | eval_loss=0.3392 | lr=9.22e-05 | 70.7s (1356 samples/s) | gpu_mem=1.3GB
2026-02-25 18:28:05,836 [INFO] __main__: Epoch  19/100 | train_loss=0.3347 (recon=0.1594 kl=0.0092 rew=0.0868 done=0.0689 rollout=0.3450) | eval_loss=0.3335 | lr=9.14e-05 | 70.4s (1361 samples/s) | gpu_mem=1.3GB
2026-02-25 18:28:05,858 [INFO] __main__:   ★ New best eval loss: 0.3335 → checkpoints/world-model/tutoring_rssm_best.pt
2026-02-25 18:29:16,516 [INFO] __main__: Epoch  20/100 | train_loss=0.3308 (recon=0.1559 kl=0.0098 rew=0.0856 done=0.0679 rollout=0.3425) | eval_loss=0.3300 | lr=9.05e-05 | 70.7s (1357 samples/s) | gpu_mem=1.3GB
2026-02-25 18:29:16,539 [INFO] __main__:   ★ New best eval loss: 0.3300 → checkpoints/world-model/tutoring_rssm_best.pt
2026-02-25 18:30:27,172 [INFO] __main__: Epoch  21/100 | train_loss=0.3289 (recon=0.1543 kl=0.0101 rew=0.0850 done=0.0672 rollout=0.3412) | eval_loss=0.3289 | lr=8.95e-05 | 70.6s (1358 samples/s) | gpu_mem=1.3GB
2026-02-25 18:30:27,194 [INFO] __main__:   ★ New best eval loss: 0.3289 → checkpoints/world-model/tutoring_rssm_best.pt
2026-02-25 18:31:37,839 [INFO] __main__: Epoch  22/100 | train_loss=0.3281 (recon=0.1536 kl=0.0103 rew=0.0846 done=0.0669 rollout=0.3406) | eval_loss=0.3292 | lr=8.85e-05 | 70.6s (1357 samples/s) | gpu_mem=1.3GB
2026-02-25 18:32:48,010 [INFO] __main__: Epoch  23/100 | train_loss=0.3272 (recon=0.1531 kl=0.0104 rew=0.0843 done=0.0665 rollout=0.3400) | eval_loss=0.3296 | lr=8.75e-05 | 70.2s (1366 samples/s) | gpu_mem=1.3GB
2026-02-25 18:33:58,113 [INFO] __main__: Epoch  24/100 | train_loss=0.3269 (recon=0.1525 kl=0.0105 rew=0.0841 done=0.0664 rollout=0.3401) | eval_loss=0.3279 | lr=8.64e-05 | 70.1s (1367 samples/s) | gpu_mem=1.3GB
2026-02-25 18:33:58,135 [INFO] __main__:   ★ New best eval loss: 0.3279 → checkpoints/world-model/tutoring_rssm_best.pt
2026-02-25 18:35:09,021 [INFO] __main__: Epoch  25/100 | train_loss=0.3263 (recon=0.1523 kl=0.0105 rew=0.0840 done=0.0663 rollout=0.3396) | eval_loss=0.3275 | lr=8.54e-05 | 70.9s (1352 samples/s) | gpu_mem=1.3GB
2026-02-25 18:35:09,044 [INFO] __main__:   ★ New best eval loss: 0.3275 → checkpoints/world-model/tutoring_rssm_best.pt
2026-02-25 18:36:19,718 [INFO] __main__: Epoch  26/100 | train_loss=0.3260 (recon=0.1522 kl=0.0106 rew=0.0837 done=0.0660 rollout=0.3395) | eval_loss=0.3315 | lr=8.42e-05 | 70.7s (1356 samples/s) | gpu_mem=1.3GB
2026-02-25 18:37:29,992 [INFO] __main__: Epoch  27/100 | train_loss=0.3259 (recon=0.1518 kl=0.0107 rew=0.0837 done=0.0660 rollout=0.3395) | eval_loss=0.3270 | lr=8.31e-05 | 70.3s (1364 samples/s) | gpu_mem=1.3GB
2026-02-25 18:37:30,015 [INFO] __main__:   ★ New best eval loss: 0.3270 → checkpoints/world-model/tutoring_rssm_best.pt
2026-02-25 18:38:40,921 [INFO] __main__: Epoch  28/100 | train_loss=0.3266 (recon=0.1520 kl=0.0110 rew=0.0839 done=0.0661 rollout=0.3402) | eval_loss=0.3265 | lr=8.19e-05 | 70.9s (1352 samples/s) | gpu_mem=1.3GB
2026-02-25 18:38:40,942 [INFO] __main__:   ★ New best eval loss: 0.3265 → checkpoints/world-model/tutoring_rssm_best.pt
2026-02-25 18:39:51,355 [INFO] __main__: Epoch  29/100 | train_loss=0.3256 (recon=0.1513 kl=0.0110 rew=0.0836 done=0.0658 rollout=0.3395) | eval_loss=0.3274 | lr=8.06e-05 | 70.4s (1361 samples/s) | gpu_mem=1.3GB
2026-02-25 18:41:02,495 [INFO] __main__: Epoch  30/100 | train_loss=0.3250 (recon=0.1509 kl=0.0111 rew=0.0834 done=0.0656 rollout=0.3390) | eval_loss=0.3284 | lr=7.94e-05 | 71.1s (1347 samples/s) | gpu_mem=1.3GB
2026-02-25 18:42:12,904 [INFO] __main__: Epoch  31/100 | train_loss=0.3251 (recon=0.1508 kl=0.0111 rew=0.0834 done=0.0656 rollout=0.3392) | eval_loss=0.3278 | lr=7.81e-05 | 70.4s (1362 samples/s) | gpu_mem=1.3GB
2026-02-25 18:43:23,731 [INFO] __main__: Epoch  32/100 | train_loss=0.3253 (recon=0.1507 kl=0.0113 rew=0.0836 done=0.0658 rollout=0.3392) | eval_loss=0.3256 | lr=7.68e-05 | 70.8s (1353 samples/s) | gpu_mem=1.3GB
2026-02-25 18:43:23,754 [INFO] __main__:   ★ New best eval loss: 0.3256 → checkpoints/world-model/tutoring_rssm_best.pt
2026-02-25 18:44:34,007 [INFO] __main__: Epoch  33/100 | train_loss=0.3250 (recon=0.1503 kl=0.0113 rew=0.0835 done=0.0657 rollout=0.3392) | eval_loss=0.3246 | lr=7.55e-05 | 70.3s (1364 samples/s) | gpu_mem=1.3GB
2026-02-25 18:44:34,030 [INFO] __main__:   ★ New best eval loss: 0.3246 → checkpoints/world-model/tutoring_rssm_best.pt
2026-02-25 18:45:45,357 [INFO] __main__: Epoch  34/100 | train_loss=0.3250 (recon=0.1502 kl=0.0116 rew=0.0835 done=0.0657 rollout=0.3390) | eval_loss=0.3235 | lr=7.41e-05 | 71.3s (1344 samples/s) | gpu_mem=1.3GB
2026-02-25 18:45:45,380 [INFO] __main__:   ★ New best eval loss: 0.3235 → checkpoints/world-model/tutoring_rssm_best.pt
2026-02-25 18:46:56,106 [INFO] __main__: Epoch  35/100 | train_loss=0.3236 (recon=0.1495 kl=0.0113 rew=0.0833 done=0.0655 rollout=0.3377) | eval_loss=0.3261 | lr=7.27e-05 | 70.7s (1355 samples/s) | gpu_mem=1.3GB
2026-02-25 18:48:06,339 [INFO] __main__: Epoch  36/100 | train_loss=0.3235 (recon=0.1490 kl=0.0114 rew=0.0833 done=0.0655 rollout=0.3377) | eval_loss=0.3237 | lr=7.13e-05 | 70.2s (1365 samples/s) | gpu_mem=1.3GB
2026-02-25 18:49:16,519 [INFO] __main__: Epoch  37/100 | train_loss=0.3236 (recon=0.1495 kl=0.0115 rew=0.0831 done=0.0653 rollout=0.3377) | eval_loss=0.3267 | lr=6.99e-05 | 70.2s (1366 samples/s) | gpu_mem=1.3GB
2026-02-25 18:50:27,556 [INFO] __main__: Epoch  38/100 | train_loss=0.3527 (recon=0.1496 kl=0.0665 rew=0.0836 done=0.0659 rollout=0.3398) | eval_loss=2.2169 | lr=6.84e-05 | 71.0s (1349 samples/s) | gpu_mem=1.3GB
2026-02-25 18:51:38,153 [INFO] __main__: Epoch  39/100 | train_loss=0.3815 (recon=0.1745 kl=0.0569 rew=0.0906 done=0.0711 rollout=0.3697) | eval_loss=0.3257 | lr=6.69e-05 | 70.6s (1358 samples/s) | gpu_mem=1.3GB
2026-02-25 18:52:49,003 [INFO] __main__: Epoch  40/100 | train_loss=0.3221 (recon=0.1484 kl=0.0096 rew=0.0837 done=0.0659 rollout=0.3367) | eval_loss=0.3214 | lr=6.55e-05 | 70.8s (1353 samples/s) | gpu_mem=1.3GB
2026-02-25 18:52:49,026 [INFO] __main__:   ★ New best eval loss: 0.3214 → checkpoints/world-model/tutoring_rssm_best.pt
2026-02-25 18:53:59,507 [INFO] __main__: Epoch  41/100 | train_loss=0.3204 (recon=0.1467 kl=0.0101 rew=0.0829 done=0.0652 rollout=0.3358) | eval_loss=0.3207 | lr=6.39e-05 | 70.5s (1360 samples/s) | gpu_mem=1.3GB
2026-02-25 18:53:59,530 [INFO] __main__:   ★ New best eval loss: 0.3207 → checkpoints/world-model/tutoring_rssm_best.pt
2026-02-25 18:55:10,159 [INFO] __main__: Epoch  42/100 | train_loss=0.3198 (recon=0.1463 kl=0.0105 rew=0.0826 done=0.0649 rollout=0.3353) | eval_loss=0.3206 | lr=6.24e-05 | 70.6s (1357 samples/s) | gpu_mem=1.3GB
2026-02-25 18:55:10,182 [INFO] __main__:   ★ New best eval loss: 0.3206 → checkpoints/world-model/tutoring_rssm_best.pt
2026-02-25 18:56:20,740 [INFO] __main__: Epoch  43/100 | train_loss=0.3191 (recon=0.1458 kl=0.0105 rew=0.0825 done=0.0647 rollout=0.3348) | eval_loss=0.3209 | lr=6.09e-05 | 70.6s (1359 samples/s) | gpu_mem=1.3GB
2026-02-25 18:57:31,289 [INFO] __main__: Epoch  44/100 | train_loss=0.3191 (recon=0.1458 kl=0.0108 rew=0.0822 done=0.0645 rollout=0.3350) | eval_loss=0.3205 | lr=5.94e-05 | 70.5s (1359 samples/s) | gpu_mem=1.3GB
2026-02-25 18:57:31,312 [INFO] __main__:   ★ New best eval loss: 0.3205 → checkpoints/world-model/tutoring_rssm_best.pt
2026-02-25 18:58:42,262 [INFO] __main__: Epoch  45/100 | train_loss=0.3190 (recon=0.1455 kl=0.0109 rew=0.0823 done=0.0644 rollout=0.3349) | eval_loss=0.3199 | lr=5.78e-05 | 70.9s (1351 samples/s) | gpu_mem=1.3GB
2026-02-25 18:58:42,284 [INFO] __main__:   ★ New best eval loss: 0.3199 → checkpoints/world-model/tutoring_rssm_best.pt
2026-02-25 18:59:53,374 [INFO] __main__: Epoch  46/100 | train_loss=0.3185 (recon=0.1452 kl=0.0108 rew=0.0822 done=0.0643 rollout=0.3346) | eval_loss=0.3209 | lr=5.63e-05 | 71.1s (1348 samples/s) | gpu_mem=1.3GB
2026-02-25 19:01:04,213 [INFO] __main__: Epoch  47/100 | train_loss=0.3188 (recon=0.1451 kl=0.0110 rew=0.0824 done=0.0644 rollout=0.3347) | eval_loss=0.3196 | lr=5.47e-05 | 70.8s (1353 samples/s) | gpu_mem=1.3GB
2026-02-25 19:01:04,236 [INFO] __main__:   ★ New best eval loss: 0.3196 → checkpoints/world-model/tutoring_rssm_best.pt
2026-02-25 19:02:14,681 [INFO] __main__: Epoch  48/100 | train_loss=0.3182 (recon=0.1448 kl=0.0110 rew=0.0822 done=0.0642 rollout=0.3341) | eval_loss=0.3195 | lr=5.31e-05 | 70.4s (1361 samples/s) | gpu_mem=1.3GB
2026-02-25 19:02:14,704 [INFO] __main__:   ★ New best eval loss: 0.3195 → checkpoints/world-model/tutoring_rssm_best.pt
2026-02-25 19:03:25,389 [INFO] __main__: Epoch  49/100 | train_loss=0.3182 (recon=0.1448 kl=0.0110 rew=0.0822 done=0.0642 rollout=0.3342) | eval_loss=0.3294 | lr=5.16e-05 | 70.7s (1356 samples/s) | gpu_mem=1.3GB
2026-02-25 19:04:36,190 [INFO] __main__: Epoch  50/100 | train_loss=0.3184 (recon=0.1445 kl=0.0111 rew=0.0822 done=0.0643 rollout=0.3346) | eval_loss=0.3213 | lr=5.00e-05 | 70.8s (1354 samples/s) | gpu_mem=1.3GB
2026-02-25 19:05:46,967 [INFO] __main__: Epoch  51/100 | train_loss=0.3177 (recon=0.1442 kl=0.0110 rew=0.0821 done=0.0642 rollout=0.3339) | eval_loss=0.3190 | lr=4.84e-05 | 70.8s (1355 samples/s) | gpu_mem=1.3GB
2026-02-25 19:05:46,990 [INFO] __main__:   ★ New best eval loss: 0.3190 → checkpoints/world-model/tutoring_rssm_best.pt
2026-02-25 19:06:57,321 [INFO] __main__: Epoch  52/100 | train_loss=0.3180 (recon=0.1442 kl=0.0111 rew=0.0821 done=0.0642 rollout=0.3344) | eval_loss=0.3201 | lr=4.69e-05 | 70.3s (1363 samples/s) | gpu_mem=1.3GB
2026-02-25 19:08:07,968 [INFO] __main__: Epoch  53/100 | train_loss=0.3179 (recon=0.1437 kl=0.0112 rew=0.0824 done=0.0644 rollout=0.3342) | eval_loss=0.3172 | lr=4.53e-05 | 70.6s (1357 samples/s) | gpu_mem=1.3GB
2026-02-25 19:08:07,991 [INFO] __main__:   ★ New best eval loss: 0.3172 → checkpoints/world-model/tutoring_rssm_best.pt
2026-02-25 19:09:18,618 [INFO] __main__: Epoch  54/100 | train_loss=0.3170 (recon=0.1433 kl=0.0111 rew=0.0820 done=0.0641 rollout=0.3334) | eval_loss=0.3191 | lr=4.37e-05 | 70.6s (1357 samples/s) | gpu_mem=1.3GB
2026-02-25 19:10:29,306 [INFO] __main__: Epoch  55/100 | train_loss=0.3167 (recon=0.1430 kl=0.0113 rew=0.0820 done=0.0641 rollout=0.3331) | eval_loss=0.3181 | lr=4.22e-05 | 70.7s (1356 samples/s) | gpu_mem=1.3GB
2026-02-25 19:11:40,099 [INFO] __main__: Epoch  56/100 | train_loss=0.3168 (recon=0.1429 kl=0.0113 rew=0.0820 done=0.0642 rollout=0.3332) | eval_loss=0.3191 | lr=4.06e-05 | 70.8s (1354 samples/s) | gpu_mem=1.3GB
2026-02-25 19:12:50,815 [INFO] __main__: Epoch  57/100 | train_loss=0.3163 (recon=0.1424 kl=0.0112 rew=0.0819 done=0.0641 rollout=0.3329) | eval_loss=0.3188 | lr=3.91e-05 | 70.7s (1356 samples/s) | gpu_mem=1.3GB
2026-02-25 19:14:01,170 [INFO] __main__: Epoch  58/100 | train_loss=0.3168 (recon=0.1426 kl=0.0114 rew=0.0820 done=0.0641 rollout=0.3335) | eval_loss=0.3182 | lr=3.76e-05 | 70.4s (1362 samples/s) | gpu_mem=1.3GB
2026-02-25 19:15:12,063 [INFO] __main__: Epoch  59/100 | train_loss=0.3163 (recon=0.1425 kl=0.0113 rew=0.0820 done=0.0640 rollout=0.3327) | eval_loss=0.3188 | lr=3.61e-05 | 70.9s (1352 samples/s) | gpu_mem=1.3GB
2026-02-25 19:16:22,721 [INFO] __main__: Epoch  60/100 | train_loss=0.3157 (recon=0.1421 kl=0.0113 rew=0.0818 done=0.0639 rollout=0.3322) | eval_loss=0.3179 | lr=3.45e-05 | 70.7s (1357 samples/s) | gpu_mem=1.3GB
2026-02-25 19:17:33,459 [INFO] __main__: Epoch  61/100 | train_loss=0.3162 (recon=0.1420 kl=0.0114 rew=0.0820 done=0.0641 rollout=0.3328) | eval_loss=0.3165 | lr=3.31e-05 | 70.7s (1356 samples/s) | gpu_mem=1.3GB
2026-02-25 19:17:33,480 [INFO] __main__:   ★ New best eval loss: 0.3165 → checkpoints/world-model/tutoring_rssm_best.pt
2026-02-25 19:18:44,368 [INFO] __main__: Epoch  62/100 | train_loss=0.3155 (recon=0.1415 kl=0.0113 rew=0.0820 done=0.0640 rollout=0.3321) | eval_loss=0.3156 | lr=3.16e-05 | 70.9s (1352 samples/s) | gpu_mem=1.3GB
2026-02-25 19:18:44,389 [INFO] __main__:   ★ New best eval loss: 0.3156 → checkpoints/world-model/tutoring_rssm_best.pt
2026-02-25 19:19:55,957 [INFO] __main__: Epoch  63/100 | train_loss=0.3151 (recon=0.1414 kl=0.0112 rew=0.0819 done=0.0640 rollout=0.3317) | eval_loss=0.3181 | lr=3.01e-05 | 71.6s (1339 samples/s) | gpu_mem=1.3GB
2026-02-25 19:21:06,500 [INFO] __main__: Epoch  64/100 | train_loss=0.3146 (recon=0.1412 kl=0.0112 rew=0.0817 done=0.0639 rollout=0.3313) | eval_loss=0.3156 | lr=2.87e-05 | 70.5s (1359 samples/s) | gpu_mem=1.3GB
2026-02-25 19:22:18,147 [INFO] __main__: Epoch  65/100 | train_loss=0.3152 (recon=0.1415 kl=0.0114 rew=0.0819 done=0.0640 rollout=0.3317) | eval_loss=0.3259 | lr=2.73e-05 | 71.6s (1338 samples/s) | gpu_mem=1.3GB
2026-02-25 19:23:29,450 [INFO] __main__: Epoch  66/100 | train_loss=0.3153 (recon=0.1414 kl=0.0113 rew=0.0820 done=0.0641 rollout=0.3318) | eval_loss=0.3175 | lr=2.59e-05 | 71.3s (1344 samples/s) | gpu_mem=1.3GB
2026-02-25 19:24:40,964 [INFO] __main__: Epoch  67/100 | train_loss=0.3145 (recon=0.1408 kl=0.0112 rew=0.0819 done=0.0641 rollout=0.3310) | eval_loss=0.3169 | lr=2.45e-05 | 71.5s (1340 samples/s) | gpu_mem=1.3GB
2026-02-25 19:25:51,897 [INFO] __main__: Epoch  68/100 | train_loss=0.3149 (recon=0.1411 kl=0.0114 rew=0.0819 done=0.0640 rollout=0.3313) | eval_loss=0.3191 | lr=2.32e-05 | 70.9s (1351 samples/s) | gpu_mem=1.3GB
2026-02-25 19:27:02,722 [INFO] __main__: Epoch  69/100 | train_loss=0.3148 (recon=0.1408 kl=0.0112 rew=0.0821 done=0.0642 rollout=0.3313) | eval_loss=0.3160 | lr=2.19e-05 | 70.8s (1353 samples/s) | gpu_mem=1.3GB
2026-02-25 19:28:14,130 [INFO] __main__: Epoch  70/100 | train_loss=0.3139 (recon=0.1406 kl=0.0110 rew=0.0819 done=0.0640 rollout=0.3303) | eval_loss=0.3164 | lr=2.06e-05 | 71.4s (1342 samples/s) | gpu_mem=1.3GB
2026-02-25 19:29:25,313 [INFO] __main__: Epoch  71/100 | train_loss=0.3142 (recon=0.1406 kl=0.0111 rew=0.0819 done=0.0640 rollout=0.3307) | eval_loss=0.3176 | lr=1.94e-05 | 71.2s (1347 samples/s) | gpu_mem=1.3GB
2026-02-25 19:30:36,305 [INFO] __main__: Epoch  72/100 | train_loss=0.3141 (recon=0.1407 kl=0.0111 rew=0.0819 done=0.0640 rollout=0.3307) | eval_loss=0.3148 | lr=1.81e-05 | 71.0s (1350 samples/s) | gpu_mem=1.3GB
2026-02-25 19:30:36,326 [INFO] __main__:   ★ New best eval loss: 0.3148 → checkpoints/world-model/tutoring_rssm_best.pt
2026-02-25 19:31:47,498 [INFO] __main__: Epoch  73/100 | train_loss=0.3139 (recon=0.1402 kl=0.0111 rew=0.0820 done=0.0640 rollout=0.3305) | eval_loss=0.3138 | lr=1.69e-05 | 71.2s (1347 samples/s) | gpu_mem=1.3GB
2026-02-25 19:31:47,521 [INFO] __main__:   ★ New best eval loss: 0.3138 → checkpoints/world-model/tutoring_rssm_best.pt
2026-02-25 19:32:58,167 [INFO] __main__: Epoch  74/100 | train_loss=0.3135 (recon=0.1400 kl=0.0109 rew=0.0820 done=0.0640 rollout=0.3301) | eval_loss=0.3154 | lr=1.58e-05 | 70.6s (1357 samples/s) | gpu_mem=1.3GB
2026-02-25 19:34:09,526 [INFO] __main__: Epoch  75/100 | train_loss=0.3139 (recon=0.1399 kl=0.0112 rew=0.0821 done=0.0641 rollout=0.3304) | eval_loss=0.3162 | lr=1.46e-05 | 71.4s (1343 samples/s) | gpu_mem=1.3GB
2026-02-25 19:35:20,593 [INFO] __main__: Epoch  76/100 | train_loss=0.3137 (recon=0.1399 kl=0.0110 rew=0.0820 done=0.0641 rollout=0.3304) | eval_loss=0.3144 | lr=1.36e-05 | 71.1s (1349 samples/s) | gpu_mem=1.3GB
2026-02-25 19:36:31,515 [INFO] __main__: Epoch  77/100 | train_loss=0.3132 (recon=0.1397 kl=0.0109 rew=0.0820 done=0.0640 rollout=0.3299) | eval_loss=0.3146 | lr=1.25e-05 | 70.9s (1352 samples/s) | gpu_mem=1.3GB
2026-02-25 19:37:43,067 [INFO] __main__: Epoch  78/100 | train_loss=0.3128 (recon=0.1395 kl=0.0109 rew=0.0818 done=0.0639 rollout=0.3295) | eval_loss=0.3158 | lr=1.15e-05 | 71.6s (1340 samples/s) | gpu_mem=1.3GB
2026-02-25 19:38:54,333 [INFO] __main__: Epoch  79/100 | train_loss=0.3132 (recon=0.1397 kl=0.0110 rew=0.0819 done=0.0640 rollout=0.3299) | eval_loss=0.3141 | lr=1.05e-05 | 71.3s (1345 samples/s) | gpu_mem=1.3GB
2026-02-25 19:40:05,333 [INFO] __main__: Epoch  80/100 | train_loss=0.3131 (recon=0.1394 kl=0.0109 rew=0.0821 done=0.0641 rollout=0.3297) | eval_loss=0.3148 | lr=9.55e-06 | 71.0s (1350 samples/s) | gpu_mem=1.3GB
2026-02-25 19:41:16,170 [INFO] __main__: Epoch  81/100 | train_loss=0.3127 (recon=0.1395 kl=0.0109 rew=0.0818 done=0.0639 rollout=0.3294) | eval_loss=0.3149 | lr=8.65e-06 | 70.8s (1354 samples/s) | gpu_mem=1.3GB
2026-02-25 19:42:26,882 [INFO] __main__: Epoch  82/100 | train_loss=0.3132 (recon=0.1394 kl=0.0109 rew=0.0820 done=0.0641 rollout=0.3299) | eval_loss=0.3134 | lr=7.78e-06 | 70.7s (1356 samples/s) | gpu_mem=1.3GB
2026-02-25 19:42:26,903 [INFO] __main__:   ★ New best eval loss: 0.3134 → checkpoints/world-model/tutoring_rssm_best.pt
2026-02-25 19:43:38,250 [INFO] __main__: Epoch  83/100 | train_loss=0.3129 (recon=0.1394 kl=0.0109 rew=0.0820 done=0.0641 rollout=0.3295) | eval_loss=0.3135 | lr=6.96e-06 | 71.3s (1344 samples/s) | gpu_mem=1.3GB
2026-02-25 19:44:48,938 [INFO] __main__: Epoch  84/100 | train_loss=0.3129 (recon=0.1393 kl=0.0109 rew=0.0821 done=0.0641 rollout=0.3296) | eval_loss=0.3134 | lr=6.18e-06 | 70.7s (1356 samples/s) | gpu_mem=1.3GB
2026-02-25 19:44:48,960 [INFO] __main__:   ★ New best eval loss: 0.3134 → checkpoints/world-model/tutoring_rssm_best.pt
2026-02-25 19:45:59,739 [INFO] __main__: Epoch  85/100 | train_loss=0.3127 (recon=0.1391 kl=0.0108 rew=0.0819 done=0.0639 rollout=0.3295) | eval_loss=0.3146 | lr=5.45e-06 | 70.8s (1354 samples/s) | gpu_mem=1.3GB
2026-02-25 19:47:11,503 [INFO] __main__: Epoch  86/100 | train_loss=0.3126 (recon=0.1391 kl=0.0108 rew=0.0820 done=0.0640 rollout=0.3292) | eval_loss=0.3152 | lr=4.76e-06 | 71.8s (1336 samples/s) | gpu_mem=1.3GB
2026-02-25 19:48:22,493 [INFO] __main__: Epoch  87/100 | train_loss=0.3125 (recon=0.1392 kl=0.0108 rew=0.0819 done=0.0639 rollout=0.3293) | eval_loss=0.3145 | lr=4.11e-06 | 71.0s (1350 samples/s) | gpu_mem=1.3GB
2026-02-25 19:49:34,161 [INFO] __main__: Epoch  88/100 | train_loss=0.3124 (recon=0.1391 kl=0.0107 rew=0.0819 done=0.0640 rollout=0.3291) | eval_loss=0.3147 | lr=3.51e-06 | 71.7s (1338 samples/s) | gpu_mem=1.3GB
2026-02-25 19:50:45,579 [INFO] __main__: Epoch  89/100 | train_loss=0.3123 (recon=0.1391 kl=0.0109 rew=0.0818 done=0.0639 rollout=0.3291) | eval_loss=0.3132 | lr=2.96e-06 | 71.4s (1342 samples/s) | gpu_mem=1.3GB
2026-02-25 19:50:45,600 [INFO] __main__:   ★ New best eval loss: 0.3132 → checkpoints/world-model/tutoring_rssm_best.pt
2026-02-25 19:51:57,816 [INFO] __main__: Epoch  90/100 | train_loss=0.3123 (recon=0.1390 kl=0.0108 rew=0.0819 done=0.0638 rollout=0.3290) | eval_loss=0.3142 | lr=2.45e-06 | 72.2s (1327 samples/s) | gpu_mem=1.3GB
2026-02-25 19:53:09,370 [INFO] __main__: Epoch  91/100 | train_loss=0.3123 (recon=0.1390 kl=0.0108 rew=0.0819 done=0.0638 rollout=0.3290) | eval_loss=0.3145 | lr=1.99e-06 | 71.5s (1340 samples/s) | gpu_mem=1.3GB
2026-02-25 19:54:20,932 [INFO] __main__: Epoch  92/100 | train_loss=0.3124 (recon=0.1389 kl=0.0108 rew=0.0820 done=0.0641 rollout=0.3291) | eval_loss=0.3143 | lr=1.57e-06 | 71.6s (1339 samples/s) | gpu_mem=1.3GB
2026-02-25 19:55:32,652 [INFO] __main__: Epoch  93/100 | train_loss=0.3122 (recon=0.1391 kl=0.0107 rew=0.0819 done=0.0639 rollout=0.3288) | eval_loss=0.3124 | lr=1.20e-06 | 71.7s (1337 samples/s) | gpu_mem=1.3GB
2026-02-25 19:55:32,682 [INFO] __main__:   ★ New best eval loss: 0.3124 → checkpoints/world-model/tutoring_rssm_best.pt
2026-02-25 19:56:45,681 [INFO] __main__: Epoch  94/100 | train_loss=0.3124 (recon=0.1390 kl=0.0109 rew=0.0820 done=0.0640 rollout=0.3291) | eval_loss=0.3139 | lr=8.86e-07 | 73.0s (1313 samples/s) | gpu_mem=1.3GB
2026-02-25 19:57:57,869 [INFO] __main__: Epoch  95/100 | train_loss=0.3125 (recon=0.1390 kl=0.0108 rew=0.0819 done=0.0639 rollout=0.3293) | eval_loss=0.3136 | lr=6.16e-07 | 72.2s (1328 samples/s) | gpu_mem=1.3GB
2026-02-25 19:59:10,503 [INFO] __main__: Epoch  96/100 | train_loss=0.3121 (recon=0.1390 kl=0.0108 rew=0.0818 done=0.0638 rollout=0.3289) | eval_loss=0.3130 | lr=3.94e-07 | 72.6s (1320 samples/s) | gpu_mem=1.3GB
2026-02-25 20:00:23,114 [INFO] __main__: Epoch  97/100 | train_loss=0.3125 (recon=0.1389 kl=0.0108 rew=0.0820 done=0.0640 rollout=0.3293) | eval_loss=0.3127 | lr=2.22e-07 | 72.6s (1320 samples/s) | gpu_mem=1.3GB
2026-02-25 20:01:35,276 [INFO] __main__: Epoch  98/100 | train_loss=0.3121 (recon=0.1389 kl=0.0107 rew=0.0819 done=0.0639 rollout=0.3288) | eval_loss=0.3136 | lr=9.87e-08 | 72.2s (1328 samples/s) | gpu_mem=1.3GB
2026-02-25 20:02:47,305 [INFO] __main__: Epoch  99/100 | train_loss=0.3118 (recon=0.1388 kl=0.0107 rew=0.0818 done=0.0639 rollout=0.3285) | eval_loss=0.3140 | lr=2.47e-08 | 72.0s (1331 samples/s) | gpu_mem=1.3GB
2026-02-25 20:03:59,255 [INFO] __main__: Epoch 100/100 | train_loss=0.3119 (recon=0.1389 kl=0.0108 rew=0.0818 done=0.0638 rollout=0.3286) | eval_loss=0.3145 | lr=0.00e+00 | 71.9s (1332 samples/s) | gpu_mem=1.3GB
2026-02-25 20:03:59,299 [INFO] __main__: ═══ WORLD MODEL TRAINING COMPLETE ═══
2026-02-25 20:03:59,299 [INFO] __main__:   Best eval loss: 0.3124
2026-02-25 20:03:59,299 [INFO] __main__:   Best checkpoint: checkpoints/world-model/tutoring_rssm_best.pt
2026-02-25 20:03:59,299 [INFO] __main__:   Final checkpoint: checkpoints/world-model/tutoring_rssm_final.pt

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  World Model Training Complete
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  Best checkpoint: checkpoints/world-model/tutoring_rssm_best.pt
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