| 2026-03-18 05:25:06,469 [INFO] new_opacus_codex.train_steps: epoch=1 step=10 loss=1.6915 |
| 2026-03-18 05:27:08,065 [INFO] new_opacus_codex.train_steps: epoch=1 step=20 loss=1.6692 |
| 2026-03-18 05:29:10,619 [INFO] new_opacus_codex.train_steps: epoch=1 step=30 loss=1.7137 |
| 2026-03-18 05:31:12,467 [INFO] new_opacus_codex.train_steps: epoch=1 step=40 loss=1.6041 |
| 2026-03-18 05:33:14,135 [INFO] new_opacus_codex.train_steps: epoch=1 step=50 loss=1.6079 |
| 2026-03-18 05:33:26,911 [INFO] new_opacus_codex.train_steps: eval event=eval_step epoch=1 step=50 eval_loss=0.9748 duration_sec=12.77 |
| 2026-03-18 05:35:28,635 [INFO] new_opacus_codex.train_steps: epoch=1 step=60 loss=1.5953 |
| 2026-03-18 05:37:31,067 [INFO] new_opacus_codex.train_steps: epoch=1 step=70 loss=1.7617 |
| 2026-03-18 05:39:33,024 [INFO] new_opacus_codex.train_steps: epoch=1 step=80 loss=1.7465 |
| 2026-03-18 05:41:35,477 [INFO] new_opacus_codex.train_steps: epoch=1 step=90 loss=1.6112 |
| 2026-03-18 05:43:57,180 [INFO] new_opacus_codex.train_steps: epoch=2 step=100 loss=1.7602 |
| 2026-03-18 05:44:09,918 [INFO] new_opacus_codex.train_steps: eval event=eval_step epoch=2 step=100 eval_loss=0.9495 duration_sec=12.73 |
| 2026-03-18 05:46:11,788 [INFO] new_opacus_codex.train_steps: epoch=2 step=110 loss=1.7710 |
| 2026-03-18 05:48:13,197 [INFO] new_opacus_codex.train_steps: epoch=2 step=120 loss=1.5877 |
| 2026-03-18 05:50:14,090 [INFO] new_opacus_codex.train_steps: epoch=2 step=130 loss=1.5471 |
| 2026-03-18 05:52:15,284 [INFO] new_opacus_codex.train_steps: epoch=2 step=140 loss=1.7275 |
| 2026-03-18 05:54:17,034 [INFO] new_opacus_codex.train_steps: epoch=2 step=150 loss=1.5942 |
| 2026-03-18 05:54:29,800 [INFO] new_opacus_codex.train_steps: eval event=eval_step epoch=2 step=150 eval_loss=0.9416 duration_sec=12.76 |
| 2026-03-18 05:56:31,119 [INFO] new_opacus_codex.train_steps: epoch=2 step=160 loss=1.3974 |
| 2026-03-18 05:58:33,540 [INFO] new_opacus_codex.train_steps: epoch=2 step=170 loss=1.6737 |
| 2026-03-18 06:00:35,917 [INFO] new_opacus_codex.train_steps: epoch=2 step=180 loss=1.6957 |
|
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