Update AGILLM4 training status

training/agillm4_floor_v47_v4pro/status/status.json

@@ -1,6 +1,6 @@
 {
-  "checked_at": 1781002548.5987675,
-  "checked_at_iso": "2026-06-09T10:55:48+00:00",
+  "checked_at": 1781002613.987012,
+  "checked_at_iso": "2026-06-09T10:56:53+00:00",
   "delta_checkpoint": {
     "name": "pretrain_delta_step01418505.pt",
     "raw_line": "[delta] saved pretrain_delta_step01418505.pt (5852126cbb73...)",
@@ -20,7 +20,7 @@
     "memory_total_mib": 24564,
     "memory_used_mib": 20532,
     "name": "NVIDIA GeForce RTX 4090",
-    "power_draw_w": 349.1,
+    "power_draw_w": 343.6,
     "temperature_c": 64,
     "utilization_gpu": 98
   },
@@ -40,13 +40,13 @@
     "full": []
   },
   "log": {
-    "age_human": "8s",
-    "age_seconds": 8.642,
+    "age_human": "13s",
+    "age_seconds": 13.611,
     "exists": true,
-    "mtime": 1781002539.9576654,
-    "mtime_iso": "2026-06-09T10:55:39+00:00",
+    "mtime": 1781002600.3768916,
+    "mtime_iso": "2026-06-09T10:56:40+00:00",
     "path": "/workspace/agillm41_master_train.log",
-    "size_bytes": 4450959
+    "size_bytes": 4451343
   },
   "process": {
     "args": [
@@ -158,21 +158,21 @@
     "cmdline": "python -u agillm41.py train --preset agillm4_floor --resume /workspace/agillm4_4090_ckpts/pretrain_step01393506.pt --dblock --dblock_blocks 4 --dblock_schedule loss_balanced --dblock_warmup_steps 16 --dblock_sigma_curriculum_steps 2000 --dblock_log_every 25 --dblock_objective_mode stochastic --dblock_ar_prob 0.70 --dblock_sat_prob 0.15 --dblock_nat_prob 0.15 --dblock_ar_loss_tokens 512 --dblock_sat_loss_tokens 0 --dblock_nat_loss_tokens 512 --moe_ffn --moe_experts 2 --moe_top_k 1 --moe_mlp_mult 4 --tie_weights --batch_size 6 --block 1024 --amp --attn_backend sublinear --sublinear_window 128 --sublinear_stride 128 --sublinear_max_anchors 128 --sublinear_chunk 128 --sublinear_sinks 4 --sublinear_recent_anchors 64 --no-sublinear_pooled_landmarks --grad_checkpoint --dblock_checkpoint_stride 1 --optimizer paged_adamw8bit --sat_every 4 --nat_every 4 --nat_max_tokens 768 --nat_mask_ratio 0.5 --token_param_ratio 55 --save_dir /workspace/agillm4_4090_ckpts --save_every_sec 86400 --heartbeat_every_sec 300 --empty_cache_every_steps 0 --delta_every_steps 25000 --delta_max_keep 1 --max_ckpts 2 --async_update_dir /workspace/agillm41_side_updates/incoming --async_update_every_steps 100 --async_update_alpha 0.05 --async_update_max_per_check 2 --async_update_max_age_sec 86400 --async_update_accepted_dir /workspace/agillm41_side_updates/accepted --async_update_rejected_dir /workspace/agillm41_side_updates/rejected",
     "cwd": "/workspace/agillm41-mainline",
     "pid": 1389025,
-    "uptime_human": "3d 4h 53m 9s",
-    "uptime_seconds": 276789.9
+    "uptime_human": "3d 4h 54m 15s",
+    "uptime_seconds": 276855.29
   },
   "progress": {
     "batch": 6,
     "block": 1024,
-    "elapsed": "3d4h52m",
-    "eta": "189d23h7m",
-    "loss": 7.226,
-    "percent": 6.7665,
-    "raw_line": "[6.7665%] 4,033,649,664/59,611,622,510 tok | 3386.25 tok/s | loss=7.226 B=6 L=1024 step=152527 eta=189d23h7m elapsed=3d4h52m",
-    "seen_tokens": 4033649664,
-    "step": 152527,
+    "elapsed": "3d4h53m",
+    "eta": "189d23h6m",
+    "loss": 6.263,
+    "percent": 6.7669,
+    "raw_line": "[6.7669%] 4,033,852,416/59,611,622,510 tok | 3386.24 tok/s | loss=6.263 B=6 L=1024 step=152560 eta=189d23h6m elapsed=3d4h53m",
+    "seen_tokens": 4033852416,
+    "step": 152560,
     "target_tokens": 59611622510,
-    "tok_per_sec": 3386.25
+    "tok_per_sec": 3386.24
   },
   "running": true,
   "save_dir": {