Update experiment measurements and status

reports/runs/finemath-2027/metrics.jsonl

@@ -7,3 +7,6 @@
 {"step": 140, "tokens": 73400320, "loss": 2.3997577667236327, "optimizer_updates": 140, "effective_batch": 512, "lr": 9.806501405851579e-05, "gradient_norm": 0.2621111273765564, "tokens_per_second": 1158277.992041274, "synthetic": false, "world_size": 8}
 {"step": 160, "tokens": 83886080, "loss": 2.402126121520996, "optimizer_updates": 160, "effective_batch": 512, "lr": 9.71081173497583e-05, "gradient_norm": 0.34118589758872986, "tokens_per_second": 1163469.682059, "synthetic": false, "world_size": 8}
 {"step": 180, "tokens": 94371840, "loss": 2.4053665161132813, "optimizer_updates": 180, "effective_batch": 512, "lr": 9.596709255771647e-05, "gradient_norm": 0.29558542370796204, "tokens_per_second": 1149452.4517812682, "synthetic": false, "world_size": 8}
+{"step": 200, "tokens": 104857600, "loss": 2.399968719482422, "optimizer_updates": 200, "effective_batch": 512, "lr": 9.464692909348637e-05, "gradient_norm": 0.24350076913833618, "tokens_per_second": 1152220.2358212795, "synthetic": false, "world_size": 8}
+{"step": 220, "tokens": 115343360, "loss": 2.402377700805664, "optimizer_updates": 220, "effective_batch": 512, "lr": 9.315339969599793e-05, "gradient_norm": 0.28649914264678955, "tokens_per_second": 1152171.392790107, "synthetic": false, "world_size": 8}
+{"step": 240, "tokens": 125829120, "loss": 2.4034753799438477, "optimizer_updates": 240, "effective_batch": 512, "lr": 9.149303518929641e-05, "gradient_norm": 0.2643131911754608, "tokens_per_second": 1145053.0532508728, "synthetic": false, "world_size": 8}