Update experiment measurements and status

reports/runs/finemath-2027/metrics.jsonl

@@ -33,3 +33,6 @@
 {"step": 660, "tokens": 346030080, "loss": 2.3909912109375, "optimizer_updates": 660, "effective_batch": 512, "lr": 3.570538751077433e-05, "gradient_norm": 0.2834145128726959, "tokens_per_second": 1134052.563873766, "synthetic": false, "world_size": 8}
 {"step": 680, "tokens": 356515840, "loss": 2.391037368774414, "optimizer_updates": 680, "effective_batch": 512, "lr": 3.306075032350062e-05, "gradient_norm": 0.2449273020029068, "tokens_per_second": 1137091.254126057, "synthetic": false, "world_size": 8}
 {"step": 700, "tokens": 367001600, "loss": 2.386220359802246, "optimizer_updates": 700, "effective_batch": 512, "lr": 3.0512047892893327e-05, "gradient_norm": 0.3289194703102112, "tokens_per_second": 1138312.3805806674, "synthetic": false, "world_size": 8}
+{"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}