Update experiment measurements and status

reports/runs/finemath-2027/metrics.jsonl

@@ -26,3 +26,6 @@
 {"step": 520, "tokens": 272629760, "loss": 2.3936416625976564, "optimizer_updates": 520, "effective_batch": 512, "lr": 5.5892815116703924e-05, "gradient_norm": 0.2918415665626526, "tokens_per_second": 1014609.607257444, "synthetic": false, "world_size": 8}
 {"step": 540, "tokens": 283115520, "loss": 2.396267318725586, "optimizer_updates": 540, "effective_batch": 512, "lr": 5.291737220909842e-05, "gradient_norm": 0.2916838526725769, "tokens_per_second": 1144282.108600502, "synthetic": false, "world_size": 8}
 {"step": 560, "tokens": 293601280, "loss": 2.3973955154418944, "optimizer_updates": 560, "effective_batch": 512, "lr": 4.99510361029238e-05, "gradient_norm": 0.2486022561788559, "tokens_per_second": 1142544.0677223045, "synthetic": false, "world_size": 8}
+{"step": 580, "tokens": 304087040, "loss": 2.3969497680664062, "optimizer_updates": 580, "effective_batch": 512, "lr": 4.700677783122511e-05, "gradient_norm": 0.3060900866985321, "tokens_per_second": 1135838.0439533778, "synthetic": false, "world_size": 8}
+{"step": 600, "tokens": 314572800, "loss": 2.398846435546875, "optimizer_updates": 600, "effective_batch": 512, "lr": 4.409747188629462e-05, "gradient_norm": 0.2648744285106659, "tokens_per_second": 1142819.4524034702, "synthetic": false, "world_size": 8}
+{"step": 620, "tokens": 325058560, "loss": 2.390747833251953, "optimizer_updates": 620, "effective_batch": 512, "lr": 4.123583992279283e-05, "gradient_norm": 0.3097693920135498, "tokens_per_second": 1128176.6796215777, "synthetic": false, "world_size": 8}