{ "best_metric": null, "best_model_checkpoint": null, "epoch": 3.3579935988247023, "global_step": 2000, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.02, "learning_rate": 3.0000000000000004e-08, "loss": 1.3803, "step": 10 }, { "epoch": 0.03, "learning_rate": 8e-08, "loss": 1.3294, "step": 20 }, { "epoch": 0.05, "learning_rate": 1.3e-07, "loss": 1.2867, "step": 30 }, { "epoch": 0.07, "learning_rate": 1.8e-07, "loss": 1.2626, "step": 40 }, { "epoch": 0.08, "learning_rate": 2.3000000000000002e-07, "loss": 1.2373, "step": 50 }, { "epoch": 0.1, "learning_rate": 2.8e-07, "loss": 1.2286, "step": 60 }, { "epoch": 0.12, "learning_rate": 3.3e-07, "loss": 1.2056, "step": 70 }, { "epoch": 0.13, "learning_rate": 3.8e-07, "loss": 1.2047, "step": 80 }, { "epoch": 0.15, "learning_rate": 4.3e-07, "loss": 1.1813, "step": 90 }, { "epoch": 0.17, "learning_rate": 4.800000000000001e-07, "loss": 1.1672, "step": 100 }, { "epoch": 0.18, "learning_rate": 5.3e-07, "loss": 1.1585, "step": 110 }, { "epoch": 0.2, "learning_rate": 5.800000000000001e-07, "loss": 1.1429, "step": 120 }, { "epoch": 0.22, "learning_rate": 6.3e-07, "loss": 1.1384, "step": 130 }, { "epoch": 0.24, "learning_rate": 6.800000000000001e-07, "loss": 1.1265, "step": 140 }, { "epoch": 0.25, "learning_rate": 7.3e-07, "loss": 1.1375, "step": 150 }, { "epoch": 0.27, "learning_rate": 7.8e-07, "loss": 1.1396, "step": 160 }, { "epoch": 0.29, "learning_rate": 8.300000000000001e-07, "loss": 1.1302, "step": 170 }, { "epoch": 0.3, "learning_rate": 8.8e-07, "loss": 1.1213, "step": 180 }, { "epoch": 0.32, "learning_rate": 9.300000000000001e-07, "loss": 1.1183, "step": 190 }, { "epoch": 0.34, "learning_rate": 9.800000000000001e-07, "loss": 1.1081, "step": 200 }, { "epoch": 0.35, "learning_rate": 1.03e-06, "loss": 1.0939, "step": 210 }, { "epoch": 0.37, "learning_rate": 1.08e-06, "loss": 1.0826, "step": 220 }, { "epoch": 0.39, "learning_rate": 1.1300000000000002e-06, "loss": 1.1104, "step": 230 }, { "epoch": 0.4, "learning_rate": 1.1800000000000001e-06, "loss": 1.111, "step": 240 }, { "epoch": 0.42, "learning_rate": 1.23e-06, "loss": 1.0862, "step": 250 }, { "epoch": 0.44, "learning_rate": 1.28e-06, "loss": 1.0783, "step": 260 }, { "epoch": 0.45, "learning_rate": 1.3300000000000002e-06, "loss": 1.0762, "step": 270 }, { "epoch": 0.47, "learning_rate": 1.3800000000000001e-06, "loss": 1.0928, "step": 280 }, { "epoch": 0.49, "learning_rate": 1.43e-06, "loss": 1.0884, "step": 290 }, { "epoch": 0.5, "learning_rate": 1.48e-06, "loss": 1.068, "step": 300 }, { "epoch": 0.52, "learning_rate": 1.5300000000000002e-06, "loss": 1.0785, "step": 310 }, { "epoch": 0.54, "learning_rate": 1.5800000000000001e-06, "loss": 1.0538, "step": 320 }, { "epoch": 0.55, "learning_rate": 1.6300000000000003e-06, "loss": 1.0734, "step": 330 }, { "epoch": 0.57, "learning_rate": 1.6800000000000002e-06, "loss": 1.0642, "step": 340 }, { "epoch": 0.59, "learning_rate": 1.73e-06, "loss": 1.067, "step": 350 }, { "epoch": 0.6, "learning_rate": 1.7800000000000001e-06, "loss": 1.079, "step": 360 }, { "epoch": 0.62, "learning_rate": 1.83e-06, "loss": 1.048, "step": 370 }, { "epoch": 0.64, "learning_rate": 1.8800000000000002e-06, "loss": 1.0571, "step": 380 }, { "epoch": 0.65, "learning_rate": 1.93e-06, "loss": 1.0617, "step": 390 }, { "epoch": 0.67, "learning_rate": 1.98e-06, "loss": 1.0644, "step": 400 }, { "epoch": 0.69, "learning_rate": 2.0300000000000005e-06, "loss": 1.0569, "step": 410 }, { "epoch": 0.71, "learning_rate": 2.08e-06, "loss": 1.0429, "step": 420 }, { "epoch": 0.72, "learning_rate": 2.13e-06, "loss": 1.03, "step": 430 }, { "epoch": 0.74, "learning_rate": 2.1800000000000003e-06, "loss": 1.0449, "step": 440 }, { "epoch": 0.76, "learning_rate": 2.2300000000000002e-06, "loss": 1.0462, "step": 450 }, { "epoch": 0.77, "learning_rate": 2.28e-06, "loss": 1.0272, "step": 460 }, { "epoch": 0.79, "learning_rate": 2.33e-06, "loss": 1.0221, "step": 470 }, { "epoch": 0.81, "learning_rate": 2.38e-06, "loss": 1.0307, "step": 480 }, { "epoch": 0.82, "learning_rate": 2.43e-06, "loss": 1.048, "step": 490 }, { "epoch": 0.84, "learning_rate": 2.4800000000000004e-06, "loss": 1.0376, "step": 500 }, { "epoch": 0.84, "eval_code_evol_accuracy": 0.7292901919811937, "eval_code_evol_loss": 1.0595703125, "eval_code_evol_runtime": 44.6855, "eval_code_evol_samples_per_second": 17.254, "eval_code_evol_steps_per_second": 2.171, "step": 500 }, { "epoch": 0.86, "learning_rate": 2.5300000000000003e-06, "loss": 1.0246, "step": 510 }, { "epoch": 0.87, "learning_rate": 2.5800000000000003e-06, "loss": 1.0309, "step": 520 }, { "epoch": 0.89, "learning_rate": 2.6300000000000002e-06, "loss": 1.0391, "step": 530 }, { "epoch": 0.91, "learning_rate": 2.68e-06, "loss": 1.0193, "step": 540 }, { "epoch": 0.92, "learning_rate": 2.7300000000000005e-06, "loss": 1.0039, "step": 550 }, { "epoch": 0.94, "learning_rate": 2.7800000000000005e-06, "loss": 1.0271, "step": 560 }, { "epoch": 0.96, "learning_rate": 2.83e-06, "loss": 1.0269, "step": 570 }, { "epoch": 0.97, "learning_rate": 2.88e-06, "loss": 1.0103, "step": 580 }, { "epoch": 0.99, "learning_rate": 2.93e-06, "loss": 1.0012, "step": 590 }, { "epoch": 1.01, "learning_rate": 2.9800000000000003e-06, "loss": 1.0011, "step": 600 }, { "epoch": 1.02, "learning_rate": 3.0300000000000002e-06, "loss": 0.9842, "step": 610 }, { "epoch": 1.04, "learning_rate": 3.08e-06, "loss": 0.9918, "step": 620 }, { "epoch": 1.06, "learning_rate": 3.13e-06, "loss": 0.985, "step": 630 }, { "epoch": 1.07, "learning_rate": 3.1800000000000005e-06, "loss": 0.988, "step": 640 }, { "epoch": 1.09, "learning_rate": 3.2300000000000004e-06, "loss": 0.9832, "step": 650 }, { "epoch": 1.11, "learning_rate": 3.2800000000000004e-06, "loss": 0.97, "step": 660 }, { "epoch": 1.12, "learning_rate": 3.3300000000000003e-06, "loss": 0.9699, "step": 670 }, { "epoch": 1.14, "learning_rate": 3.3800000000000007e-06, "loss": 0.983, "step": 680 }, { "epoch": 1.16, "learning_rate": 3.4300000000000006e-06, "loss": 0.9789, "step": 690 }, { "epoch": 1.18, "learning_rate": 3.48e-06, "loss": 0.9783, "step": 700 }, { "epoch": 1.19, "learning_rate": 3.53e-06, "loss": 0.9805, "step": 710 }, { "epoch": 1.21, "learning_rate": 3.58e-06, "loss": 0.9764, "step": 720 }, { "epoch": 1.23, "learning_rate": 3.6300000000000004e-06, "loss": 0.9754, "step": 730 }, { "epoch": 1.24, "learning_rate": 3.6800000000000003e-06, "loss": 0.9765, "step": 740 }, { "epoch": 1.26, "learning_rate": 3.7300000000000003e-06, "loss": 0.9637, "step": 750 }, { "epoch": 1.28, "learning_rate": 3.7800000000000002e-06, "loss": 0.9689, "step": 760 }, { "epoch": 1.29, "learning_rate": 3.830000000000001e-06, "loss": 0.9847, "step": 770 }, { "epoch": 1.31, "learning_rate": 3.88e-06, "loss": 0.9646, "step": 780 }, { "epoch": 1.33, "learning_rate": 3.9300000000000005e-06, "loss": 0.9844, "step": 790 }, { "epoch": 1.34, "learning_rate": 3.980000000000001e-06, "loss": 0.9678, "step": 800 }, { "epoch": 1.36, "learning_rate": 4.03e-06, "loss": 0.9597, "step": 810 }, { "epoch": 1.38, "learning_rate": 4.08e-06, "loss": 0.981, "step": 820 }, { "epoch": 1.39, "learning_rate": 4.13e-06, "loss": 0.9736, "step": 830 }, { "epoch": 1.41, "learning_rate": 4.18e-06, "loss": 0.9702, "step": 840 }, { "epoch": 1.43, "learning_rate": 4.23e-06, "loss": 0.9676, "step": 850 }, { "epoch": 1.44, "learning_rate": 4.2800000000000005e-06, "loss": 0.975, "step": 860 }, { "epoch": 1.46, "learning_rate": 4.33e-06, "loss": 0.961, "step": 870 }, { "epoch": 1.48, "learning_rate": 4.38e-06, "loss": 0.9572, "step": 880 }, { "epoch": 1.49, "learning_rate": 4.430000000000001e-06, "loss": 0.9637, "step": 890 }, { "epoch": 1.51, "learning_rate": 4.48e-06, "loss": 0.9625, "step": 900 }, { "epoch": 1.53, "learning_rate": 4.530000000000001e-06, "loss": 0.9634, "step": 910 }, { "epoch": 1.54, "learning_rate": 4.58e-06, "loss": 0.9524, "step": 920 }, { "epoch": 1.56, "learning_rate": 4.6300000000000006e-06, "loss": 0.957, "step": 930 }, { "epoch": 1.58, "learning_rate": 4.680000000000001e-06, "loss": 0.9609, "step": 940 }, { "epoch": 1.6, "learning_rate": 4.7300000000000005e-06, "loss": 0.9684, "step": 950 }, { "epoch": 1.61, "learning_rate": 4.78e-06, "loss": 0.9607, "step": 960 }, { "epoch": 1.63, "learning_rate": 4.83e-06, "loss": 0.9577, "step": 970 }, { "epoch": 1.65, "learning_rate": 4.880000000000001e-06, "loss": 0.9614, "step": 980 }, { "epoch": 1.66, "learning_rate": 4.93e-06, "loss": 0.953, "step": 990 }, { "epoch": 1.68, "learning_rate": 4.980000000000001e-06, "loss": 0.9679, "step": 1000 }, { "epoch": 1.68, "eval_code_evol_accuracy": 0.7400189369204649, "eval_code_evol_loss": 1.001953125, "eval_code_evol_runtime": 44.1999, "eval_code_evol_samples_per_second": 17.443, "eval_code_evol_steps_per_second": 2.195, "step": 1000 }, { "epoch": 1.7, "learning_rate": 5.03e-06, "loss": 0.949, "step": 1010 }, { "epoch": 1.71, "learning_rate": 5.0800000000000005e-06, "loss": 0.9567, "step": 1020 }, { "epoch": 1.73, "learning_rate": 5.130000000000001e-06, "loss": 0.9527, "step": 1030 }, { "epoch": 1.75, "learning_rate": 5.18e-06, "loss": 0.9614, "step": 1040 }, { "epoch": 1.76, "learning_rate": 5.230000000000001e-06, "loss": 0.9595, "step": 1050 }, { "epoch": 1.78, "learning_rate": 5.28e-06, "loss": 0.9482, "step": 1060 }, { "epoch": 1.8, "learning_rate": 5.330000000000001e-06, "loss": 0.9403, "step": 1070 }, { "epoch": 1.81, "learning_rate": 5.380000000000001e-06, "loss": 0.9386, "step": 1080 }, { "epoch": 1.83, "learning_rate": 5.4300000000000005e-06, "loss": 0.9663, "step": 1090 }, { "epoch": 1.85, "learning_rate": 5.480000000000001e-06, "loss": 0.9491, "step": 1100 }, { "epoch": 1.86, "learning_rate": 5.530000000000001e-06, "loss": 0.9638, "step": 1110 }, { "epoch": 1.88, "learning_rate": 5.580000000000001e-06, "loss": 0.9728, "step": 1120 }, { "epoch": 1.9, "learning_rate": 5.63e-06, "loss": 0.9551, "step": 1130 }, { "epoch": 1.91, "learning_rate": 5.68e-06, "loss": 0.9432, "step": 1140 }, { "epoch": 1.93, "learning_rate": 5.73e-06, "loss": 0.9517, "step": 1150 }, { "epoch": 1.95, "learning_rate": 5.78e-06, "loss": 0.9448, "step": 1160 }, { "epoch": 1.96, "learning_rate": 5.83e-06, "loss": 0.954, "step": 1170 }, { "epoch": 1.98, "learning_rate": 5.8800000000000005e-06, "loss": 0.9402, "step": 1180 }, { "epoch": 2.0, "learning_rate": 5.93e-06, "loss": 0.9257, "step": 1190 }, { "epoch": 2.01, "learning_rate": 5.98e-06, "loss": 0.8889, "step": 1200 }, { "epoch": 2.03, "learning_rate": 6.030000000000001e-06, "loss": 0.8903, "step": 1210 }, { "epoch": 2.05, "learning_rate": 6.08e-06, "loss": 0.8778, "step": 1220 }, { "epoch": 2.07, "learning_rate": 6.130000000000001e-06, "loss": 0.8759, "step": 1230 }, { "epoch": 2.08, "learning_rate": 6.18e-06, "loss": 0.8957, "step": 1240 }, { "epoch": 2.1, "learning_rate": 6.2300000000000005e-06, "loss": 0.8805, "step": 1250 }, { "epoch": 2.12, "learning_rate": 6.280000000000001e-06, "loss": 0.882, "step": 1260 }, { "epoch": 2.13, "learning_rate": 6.33e-06, "loss": 0.8887, "step": 1270 }, { "epoch": 2.15, "learning_rate": 6.380000000000001e-06, "loss": 0.8692, "step": 1280 }, { "epoch": 2.17, "learning_rate": 6.43e-06, "loss": 0.896, "step": 1290 }, { "epoch": 2.18, "learning_rate": 6.480000000000001e-06, "loss": 0.8724, "step": 1300 }, { "epoch": 2.2, "learning_rate": 6.530000000000001e-06, "loss": 0.8705, "step": 1310 }, { "epoch": 2.22, "learning_rate": 6.5800000000000005e-06, "loss": 0.8805, "step": 1320 }, { "epoch": 2.23, "learning_rate": 6.630000000000001e-06, "loss": 0.8804, "step": 1330 }, { "epoch": 2.25, "learning_rate": 6.680000000000001e-06, "loss": 0.8864, "step": 1340 }, { "epoch": 2.27, "learning_rate": 6.730000000000001e-06, "loss": 0.8908, "step": 1350 }, { "epoch": 2.28, "learning_rate": 6.780000000000001e-06, "loss": 0.8836, "step": 1360 }, { "epoch": 2.3, "learning_rate": 6.830000000000001e-06, "loss": 0.8817, "step": 1370 }, { "epoch": 2.32, "learning_rate": 6.88e-06, "loss": 0.8825, "step": 1380 }, { "epoch": 2.33, "learning_rate": 6.93e-06, "loss": 0.8928, "step": 1390 }, { "epoch": 2.35, "learning_rate": 6.98e-06, "loss": 0.885, "step": 1400 }, { "epoch": 2.37, "learning_rate": 7.0300000000000005e-06, "loss": 0.8756, "step": 1410 }, { "epoch": 2.38, "learning_rate": 7.08e-06, "loss": 0.8945, "step": 1420 }, { "epoch": 2.4, "learning_rate": 7.13e-06, "loss": 0.8712, "step": 1430 }, { "epoch": 2.42, "learning_rate": 7.180000000000001e-06, "loss": 0.8992, "step": 1440 }, { "epoch": 2.43, "learning_rate": 7.23e-06, "loss": 0.8687, "step": 1450 }, { "epoch": 2.45, "learning_rate": 7.280000000000001e-06, "loss": 0.8896, "step": 1460 }, { "epoch": 2.47, "learning_rate": 7.33e-06, "loss": 0.8853, "step": 1470 }, { "epoch": 2.48, "learning_rate": 7.3800000000000005e-06, "loss": 0.866, "step": 1480 }, { "epoch": 2.5, "learning_rate": 7.430000000000001e-06, "loss": 0.8834, "step": 1490 }, { "epoch": 2.52, "learning_rate": 7.48e-06, "loss": 0.8657, "step": 1500 }, { "epoch": 2.52, "eval_code_evol_accuracy": 0.7452004701580254, "eval_code_evol_loss": 0.98095703125, "eval_code_evol_runtime": 43.1875, "eval_code_evol_samples_per_second": 17.852, "eval_code_evol_steps_per_second": 2.246, "step": 1500 }, { "epoch": 2.54, "learning_rate": 7.530000000000001e-06, "loss": 0.8986, "step": 1510 }, { "epoch": 2.55, "learning_rate": 7.58e-06, "loss": 0.8768, "step": 1520 }, { "epoch": 2.57, "learning_rate": 7.630000000000001e-06, "loss": 0.8873, "step": 1530 }, { "epoch": 2.59, "learning_rate": 7.680000000000001e-06, "loss": 0.8836, "step": 1540 }, { "epoch": 2.6, "learning_rate": 7.73e-06, "loss": 0.8689, "step": 1550 }, { "epoch": 2.62, "learning_rate": 7.78e-06, "loss": 0.8896, "step": 1560 }, { "epoch": 2.64, "learning_rate": 7.830000000000001e-06, "loss": 0.8916, "step": 1570 }, { "epoch": 2.65, "learning_rate": 7.88e-06, "loss": 0.8654, "step": 1580 }, { "epoch": 2.67, "learning_rate": 7.93e-06, "loss": 0.8742, "step": 1590 }, { "epoch": 2.69, "learning_rate": 7.980000000000002e-06, "loss": 0.8822, "step": 1600 }, { "epoch": 2.7, "learning_rate": 8.030000000000001e-06, "loss": 0.8699, "step": 1610 }, { "epoch": 2.72, "learning_rate": 8.08e-06, "loss": 0.8759, "step": 1620 }, { "epoch": 2.74, "learning_rate": 8.13e-06, "loss": 0.879, "step": 1630 }, { "epoch": 2.75, "learning_rate": 8.18e-06, "loss": 0.8819, "step": 1640 }, { "epoch": 2.77, "learning_rate": 8.23e-06, "loss": 0.8797, "step": 1650 }, { "epoch": 2.79, "learning_rate": 8.28e-06, "loss": 0.8706, "step": 1660 }, { "epoch": 2.8, "learning_rate": 8.33e-06, "loss": 0.8732, "step": 1670 }, { "epoch": 2.82, "learning_rate": 8.380000000000001e-06, "loss": 0.8829, "step": 1680 }, { "epoch": 2.84, "learning_rate": 8.43e-06, "loss": 0.8914, "step": 1690 }, { "epoch": 2.85, "learning_rate": 8.48e-06, "loss": 0.8692, "step": 1700 }, { "epoch": 2.87, "learning_rate": 8.530000000000001e-06, "loss": 0.8975, "step": 1710 }, { "epoch": 2.89, "learning_rate": 8.580000000000001e-06, "loss": 0.8762, "step": 1720 }, { "epoch": 2.9, "learning_rate": 8.63e-06, "loss": 0.8955, "step": 1730 }, { "epoch": 2.92, "learning_rate": 8.68e-06, "loss": 0.8853, "step": 1740 }, { "epoch": 2.94, "learning_rate": 8.730000000000001e-06, "loss": 0.8702, "step": 1750 }, { "epoch": 2.96, "learning_rate": 8.78e-06, "loss": 0.8824, "step": 1760 }, { "epoch": 2.97, "learning_rate": 8.83e-06, "loss": 0.8839, "step": 1770 }, { "epoch": 2.99, "learning_rate": 8.880000000000001e-06, "loss": 0.885, "step": 1780 }, { "epoch": 3.01, "learning_rate": 8.930000000000001e-06, "loss": 0.8535, "step": 1790 }, { "epoch": 3.02, "learning_rate": 8.98e-06, "loss": 0.7718, "step": 1800 }, { "epoch": 3.04, "learning_rate": 9.030000000000002e-06, "loss": 0.7874, "step": 1810 }, { "epoch": 3.06, "learning_rate": 9.080000000000001e-06, "loss": 0.7935, "step": 1820 }, { "epoch": 3.07, "learning_rate": 9.13e-06, "loss": 0.7874, "step": 1830 }, { "epoch": 3.09, "learning_rate": 9.180000000000002e-06, "loss": 0.7963, "step": 1840 }, { "epoch": 3.11, "learning_rate": 9.230000000000001e-06, "loss": 0.7788, "step": 1850 }, { "epoch": 3.12, "learning_rate": 9.280000000000001e-06, "loss": 0.7856, "step": 1860 }, { "epoch": 3.14, "learning_rate": 9.33e-06, "loss": 0.7824, "step": 1870 }, { "epoch": 3.16, "learning_rate": 9.38e-06, "loss": 0.7942, "step": 1880 }, { "epoch": 3.17, "learning_rate": 9.43e-06, "loss": 0.7846, "step": 1890 }, { "epoch": 3.19, "learning_rate": 9.48e-06, "loss": 0.7971, "step": 1900 }, { "epoch": 3.21, "learning_rate": 9.53e-06, "loss": 0.7914, "step": 1910 }, { "epoch": 3.22, "learning_rate": 9.58e-06, "loss": 0.7873, "step": 1920 }, { "epoch": 3.24, "learning_rate": 9.630000000000001e-06, "loss": 0.7815, "step": 1930 }, { "epoch": 3.26, "learning_rate": 9.68e-06, "loss": 0.7958, "step": 1940 }, { "epoch": 3.27, "learning_rate": 9.73e-06, "loss": 0.7875, "step": 1950 }, { "epoch": 3.29, "learning_rate": 9.780000000000001e-06, "loss": 0.7968, "step": 1960 }, { "epoch": 3.31, "learning_rate": 9.83e-06, "loss": 0.7834, "step": 1970 }, { "epoch": 3.32, "learning_rate": 9.88e-06, "loss": 0.7935, "step": 1980 }, { "epoch": 3.34, "learning_rate": 9.930000000000001e-06, "loss": 0.7894, "step": 1990 }, { "epoch": 3.36, "learning_rate": 9.980000000000001e-06, "loss": 0.7908, "step": 2000 }, { "epoch": 3.36, "eval_code_evol_accuracy": 0.7468688781507118, "eval_code_evol_loss": 0.9775390625, "eval_code_evol_runtime": 44.2366, "eval_code_evol_samples_per_second": 17.429, "eval_code_evol_steps_per_second": 2.193, "step": 2000 } ], "max_steps": 4760, "num_train_epochs": 8, "total_flos": 832756800815104.0, "trial_name": null, "trial_params": null }