Update experiment measurements and status

reports/runs/finemath-2027/metrics.jsonl

@@ -36,3 +36,6 @@
 {"step": 720, "tokens": 377487360, "loss": 2.391931343078613, "optimizer_updates": 720, "effective_batch": 512, "lr": 2.8070425046195906e-05, "gradient_norm": 0.29490208625793457, "tokens_per_second": 1132736.2403950712, "synthetic": false, "world_size": 8}
 {"step": 740, "tokens": 387973120, "loss": 2.3936782836914063, "optimizer_updates": 740, "effective_batch": 512, "lr": 2.574655837887642e-05, "gradient_norm": 0.2623952627182007, "tokens_per_second": 1140161.9499483001, "synthetic": false, "world_size": 8}
 {"step": 760, "tokens": 398458880, "loss": 2.398077392578125, "optimizer_updates": 760, "effective_batch": 512, "lr": 2.3550609568592105e-05, "gradient_norm": 0.290851354598999, "tokens_per_second": 1138578.4126175577, "synthetic": false, "world_size": 8}
+{"step": 780, "tokens": 408944640, "loss": 2.385905456542969, "optimizer_updates": 780, "effective_batch": 512, "lr": 2.1492180940758528e-05, "gradient_norm": 0.26016584038734436, "tokens_per_second": 1140694.734979419, "synthetic": false, "world_size": 8}
+{"step": 800, "tokens": 419430400, "loss": 2.389804649353027, "optimizer_updates": 800, "effective_batch": 512, "lr": 1.958027348002363e-05, "gradient_norm": 0.2731594741344452, "tokens_per_second": 966332.625141256, "synthetic": false, "world_size": 8}
+{"step": 820, "tokens": 429916160, "loss": 2.3923786163330076, "optimizer_updates": 820, "effective_batch": 512, "lr": 1.7823247471252202e-05, "gradient_norm": 0.27036523818969727, "tokens_per_second": 1064846.687218922, "synthetic": false, "world_size": 8}