| 2026-03-18 16:54:15,331 [INFO] new_opacus_codex.train_steps: epoch=1 step=10 loss=1.7026 |
| 2026-03-18 16:56:50,354 [INFO] new_opacus_codex.train_steps: epoch=1 step=20 loss=1.7386 |
| 2026-03-18 16:59:31,434 [INFO] new_opacus_codex.train_steps: epoch=1 step=30 loss=1.6410 |
| 2026-03-18 17:02:15,611 [INFO] new_opacus_codex.train_steps: epoch=1 step=40 loss=1.8702 |
| 2026-03-18 17:04:56,726 [INFO] new_opacus_codex.train_steps: epoch=1 step=50 loss=1.7055 |
| 2026-03-18 17:05:16,268 [INFO] new_opacus_codex.train_steps: eval event=eval_step epoch=1 step=50 eval_loss=1.0459 duration_sec=19.52 |
| 2026-03-18 17:07:57,152 [INFO] new_opacus_codex.train_steps: epoch=1 step=60 loss=1.8359 |
| 2026-03-18 17:10:36,525 [INFO] new_opacus_codex.train_steps: epoch=1 step=70 loss=1.7474 |
| 2026-03-18 17:13:08,097 [INFO] new_opacus_codex.train_steps: epoch=1 step=80 loss=1.6424 |
| 2026-03-18 17:15:35,351 [INFO] new_opacus_codex.train_steps: epoch=1 step=90 loss=1.7167 |
| 2026-03-18 17:18:22,947 [INFO] new_opacus_codex.train_steps: epoch=2 step=100 loss=1.8479 |
| 2026-03-18 17:18:41,304 [INFO] new_opacus_codex.train_steps: eval event=eval_step epoch=2 step=100 eval_loss=1.0443 duration_sec=18.34 |
| 2026-03-18 17:21:25,271 [INFO] new_opacus_codex.train_steps: epoch=2 step=110 loss=1.6286 |
| 2026-03-18 17:24:02,878 [INFO] new_opacus_codex.train_steps: epoch=2 step=120 loss=1.7446 |
| 2026-03-18 17:26:37,433 [INFO] new_opacus_codex.train_steps: epoch=2 step=130 loss=1.6796 |
| 2026-03-18 17:29:12,647 [INFO] new_opacus_codex.train_steps: epoch=2 step=140 loss=1.6459 |
| 2026-03-18 17:31:44,783 [INFO] new_opacus_codex.train_steps: epoch=2 step=150 loss=1.7309 |
| 2026-03-18 17:32:04,923 [INFO] new_opacus_codex.train_steps: eval event=eval_step epoch=2 step=150 eval_loss=1.0438 duration_sec=20.11 |
| 2026-03-18 17:34:33,900 [INFO] new_opacus_codex.train_steps: epoch=2 step=160 loss=1.8558 |
| 2026-03-18 17:37:03,520 [INFO] new_opacus_codex.train_steps: epoch=2 step=170 loss=1.7426 |
| 2026-03-18 17:39:44,998 [INFO] new_opacus_codex.train_steps: epoch=2 step=180 loss=1.6496 |
|
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