{ "best_metric": 0.6655629139072847, "best_model_checkpoint": "videomae-base-finetuned-fight-dataset/checkpoint-1000", "epoch": 3.25, "eval_steps": 500, "global_step": 2000, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.01, "learning_rate": 2.5e-06, "loss": 0.7569, "step": 10 }, { "epoch": 0.01, "learning_rate": 5e-06, "loss": 0.6872, "step": 20 }, { "epoch": 0.01, "learning_rate": 7.5e-06, "loss": 0.7042, "step": 30 }, { "epoch": 0.02, "learning_rate": 1e-05, "loss": 0.6789, "step": 40 }, { "epoch": 0.03, "learning_rate": 1.25e-05, "loss": 0.6225, "step": 50 }, { "epoch": 0.03, "learning_rate": 1.5e-05, "loss": 0.6309, "step": 60 }, { "epoch": 0.04, "learning_rate": 1.75e-05, "loss": 0.5263, "step": 70 }, { "epoch": 0.04, "learning_rate": 2e-05, "loss": 0.5395, "step": 80 }, { "epoch": 0.04, "learning_rate": 2.25e-05, "loss": 0.4395, "step": 90 }, { "epoch": 0.05, "learning_rate": 2.5e-05, "loss": 0.5052, "step": 100 }, { "epoch": 0.06, "learning_rate": 2.7500000000000004e-05, "loss": 0.4392, "step": 110 }, { "epoch": 0.06, "learning_rate": 3e-05, "loss": 0.3282, "step": 120 }, { "epoch": 0.07, "learning_rate": 3.2500000000000004e-05, "loss": 0.8817, "step": 130 }, { "epoch": 0.07, "learning_rate": 3.5e-05, "loss": 0.5713, "step": 140 }, { "epoch": 0.07, "learning_rate": 3.7500000000000003e-05, "loss": 0.3963, "step": 150 }, { "epoch": 0.08, "learning_rate": 4e-05, "loss": 0.605, "step": 160 }, { "epoch": 0.09, "learning_rate": 4.25e-05, "loss": 0.5869, "step": 170 }, { "epoch": 0.09, "learning_rate": 4.5e-05, "loss": 0.5014, "step": 180 }, { "epoch": 0.1, "learning_rate": 4.75e-05, "loss": 0.1599, "step": 190 }, { "epoch": 0.1, "learning_rate": 5e-05, "loss": 0.3478, "step": 200 }, { "epoch": 0.1, "learning_rate": 4.972222222222223e-05, "loss": 0.5816, "step": 210 }, { "epoch": 0.11, "learning_rate": 4.9444444444444446e-05, "loss": 0.2589, "step": 220 }, { "epoch": 0.12, "learning_rate": 4.9166666666666665e-05, "loss": 0.2452, "step": 230 }, { "epoch": 0.12, "learning_rate": 4.888888888888889e-05, "loss": 0.6197, "step": 240 }, { "epoch": 0.12, "learning_rate": 4.8611111111111115e-05, "loss": 0.1213, "step": 250 }, { "epoch": 0.13, "learning_rate": 4.8333333333333334e-05, "loss": 0.8634, "step": 260 }, { "epoch": 0.14, "learning_rate": 4.805555555555556e-05, "loss": 0.5417, "step": 270 }, { "epoch": 0.14, "learning_rate": 4.7777777777777784e-05, "loss": 0.2182, "step": 280 }, { "epoch": 0.14, "learning_rate": 4.75e-05, "loss": 0.7483, "step": 290 }, { "epoch": 0.15, "learning_rate": 4.722222222222222e-05, "loss": 0.1573, "step": 300 }, { "epoch": 0.15, "learning_rate": 4.6944444444444446e-05, "loss": 0.1428, "step": 310 }, { "epoch": 0.16, "learning_rate": 4.666666666666667e-05, "loss": 0.494, "step": 320 }, { "epoch": 0.17, "learning_rate": 4.638888888888889e-05, "loss": 0.6205, "step": 330 }, { "epoch": 0.17, "learning_rate": 4.6111111111111115e-05, "loss": 0.0656, "step": 340 }, { "epoch": 0.17, "learning_rate": 4.5833333333333334e-05, "loss": 0.1562, "step": 350 }, { "epoch": 0.18, "learning_rate": 4.555555555555556e-05, "loss": 0.7243, "step": 360 }, { "epoch": 0.18, "learning_rate": 4.527777777777778e-05, "loss": 0.3633, "step": 370 }, { "epoch": 0.19, "learning_rate": 4.5e-05, "loss": 0.4622, "step": 380 }, { "epoch": 0.2, "learning_rate": 4.472222222222223e-05, "loss": 0.3835, "step": 390 }, { "epoch": 0.2, "learning_rate": 4.4444444444444447e-05, "loss": 0.1294, "step": 400 }, { "epoch": 0.2, "learning_rate": 4.4166666666666665e-05, "loss": 0.326, "step": 410 }, { "epoch": 0.21, "learning_rate": 4.388888888888889e-05, "loss": 0.6442, "step": 420 }, { "epoch": 0.21, "learning_rate": 4.3611111111111116e-05, "loss": 0.3621, "step": 430 }, { "epoch": 0.22, "learning_rate": 4.3333333333333334e-05, "loss": 0.3675, "step": 440 }, { "epoch": 0.23, "learning_rate": 4.305555555555556e-05, "loss": 0.5039, "step": 450 }, { "epoch": 0.23, "learning_rate": 4.277777777777778e-05, "loss": 0.3871, "step": 460 }, { "epoch": 0.23, "learning_rate": 4.25e-05, "loss": 0.3963, "step": 470 }, { "epoch": 0.24, "learning_rate": 4.222222222222222e-05, "loss": 0.381, "step": 480 }, { "epoch": 0.24, "learning_rate": 4.194444444444445e-05, "loss": 0.1636, "step": 490 }, { "epoch": 0.25, "learning_rate": 4.166666666666667e-05, "loss": 0.302, "step": 500 }, { "epoch": 0.25, "eval_accuracy": 0.5066225165562914, "eval_loss": 3.079164743423462, "eval_runtime": 156.3566, "eval_samples_per_second": 1.931, "eval_steps_per_second": 0.486, "step": 500 }, { "epoch": 1.0, "learning_rate": 4.138888888888889e-05, "loss": 0.2551, "step": 510 }, { "epoch": 1.01, "learning_rate": 4.111111111111111e-05, "loss": 0.6533, "step": 520 }, { "epoch": 1.01, "learning_rate": 4.0833333333333334e-05, "loss": 0.1168, "step": 530 }, { "epoch": 1.02, "learning_rate": 4.055555555555556e-05, "loss": 0.266, "step": 540 }, { "epoch": 1.02, "learning_rate": 4.027777777777778e-05, "loss": 0.2043, "step": 550 }, { "epoch": 1.03, "learning_rate": 4e-05, "loss": 0.2738, "step": 560 }, { "epoch": 1.03, "learning_rate": 3.972222222222222e-05, "loss": 0.1246, "step": 570 }, { "epoch": 1.04, "learning_rate": 3.944444444444445e-05, "loss": 0.2619, "step": 580 }, { "epoch": 1.04, "learning_rate": 3.9166666666666665e-05, "loss": 0.2557, "step": 590 }, { "epoch": 1.05, "learning_rate": 3.888888888888889e-05, "loss": 0.4214, "step": 600 }, { "epoch": 1.05, "learning_rate": 3.8611111111111116e-05, "loss": 0.0059, "step": 610 }, { "epoch": 1.06, "learning_rate": 3.8333333333333334e-05, "loss": 0.239, "step": 620 }, { "epoch": 1.06, "learning_rate": 3.805555555555555e-05, "loss": 1.0615, "step": 630 }, { "epoch": 1.07, "learning_rate": 3.777777777777778e-05, "loss": 0.0295, "step": 640 }, { "epoch": 1.07, "learning_rate": 3.7500000000000003e-05, "loss": 0.3288, "step": 650 }, { "epoch": 1.08, "learning_rate": 3.722222222222222e-05, "loss": 0.3106, "step": 660 }, { "epoch": 1.08, "learning_rate": 3.694444444444445e-05, "loss": 0.2169, "step": 670 }, { "epoch": 1.09, "learning_rate": 3.6666666666666666e-05, "loss": 0.0814, "step": 680 }, { "epoch": 1.09, "learning_rate": 3.638888888888889e-05, "loss": 0.2151, "step": 690 }, { "epoch": 1.1, "learning_rate": 3.611111111111111e-05, "loss": 0.2173, "step": 700 }, { "epoch": 1.1, "learning_rate": 3.5833333333333335e-05, "loss": 0.2315, "step": 710 }, { "epoch": 1.11, "learning_rate": 3.555555555555556e-05, "loss": 0.6835, "step": 720 }, { "epoch": 1.11, "learning_rate": 3.527777777777778e-05, "loss": 0.1302, "step": 730 }, { "epoch": 1.12, "learning_rate": 3.5e-05, "loss": 0.2809, "step": 740 }, { "epoch": 1.12, "learning_rate": 3.472222222222222e-05, "loss": 0.1918, "step": 750 }, { "epoch": 1.13, "learning_rate": 3.444444444444445e-05, "loss": 0.0079, "step": 760 }, { "epoch": 1.14, "learning_rate": 3.4166666666666666e-05, "loss": 0.3089, "step": 770 }, { "epoch": 1.14, "learning_rate": 3.388888888888889e-05, "loss": 0.3032, "step": 780 }, { "epoch": 1.15, "learning_rate": 3.3611111111111116e-05, "loss": 0.3509, "step": 790 }, { "epoch": 1.15, "learning_rate": 3.3333333333333335e-05, "loss": 0.2107, "step": 800 }, { "epoch": 1.16, "learning_rate": 3.3055555555555553e-05, "loss": 0.4484, "step": 810 }, { "epoch": 1.16, "learning_rate": 3.277777777777778e-05, "loss": 0.9292, "step": 820 }, { "epoch": 1.17, "learning_rate": 3.2500000000000004e-05, "loss": 0.2456, "step": 830 }, { "epoch": 1.17, "learning_rate": 3.222222222222223e-05, "loss": 0.0648, "step": 840 }, { "epoch": 1.18, "learning_rate": 3.194444444444444e-05, "loss": 0.1819, "step": 850 }, { "epoch": 1.18, "learning_rate": 3.1666666666666666e-05, "loss": 0.0518, "step": 860 }, { "epoch": 1.19, "learning_rate": 3.138888888888889e-05, "loss": 0.0573, "step": 870 }, { "epoch": 1.19, "learning_rate": 3.111111111111111e-05, "loss": 0.0964, "step": 880 }, { "epoch": 1.2, "learning_rate": 3.0833333333333335e-05, "loss": 0.3063, "step": 890 }, { "epoch": 1.2, "learning_rate": 3.055555555555556e-05, "loss": 0.124, "step": 900 }, { "epoch": 1.21, "learning_rate": 3.0277777777777776e-05, "loss": 0.3151, "step": 910 }, { "epoch": 1.21, "learning_rate": 3e-05, "loss": 0.5211, "step": 920 }, { "epoch": 1.22, "learning_rate": 2.9722222222222223e-05, "loss": 0.0203, "step": 930 }, { "epoch": 1.22, "learning_rate": 2.9444444444444448e-05, "loss": 0.0847, "step": 940 }, { "epoch": 1.23, "learning_rate": 2.916666666666667e-05, "loss": 0.3277, "step": 950 }, { "epoch": 1.23, "learning_rate": 2.8888888888888888e-05, "loss": 0.218, "step": 960 }, { "epoch": 1.23, "learning_rate": 2.861111111111111e-05, "loss": 0.1086, "step": 970 }, { "epoch": 1.24, "learning_rate": 2.8333333333333335e-05, "loss": 0.4176, "step": 980 }, { "epoch": 1.25, "learning_rate": 2.8055555555555557e-05, "loss": 0.0344, "step": 990 }, { "epoch": 1.25, "learning_rate": 2.777777777777778e-05, "loss": 0.0239, "step": 1000 }, { "epoch": 1.25, "eval_accuracy": 0.6655629139072847, "eval_loss": 1.7202953100204468, "eval_runtime": 159.3334, "eval_samples_per_second": 1.895, "eval_steps_per_second": 0.477, "step": 1000 }, { "epoch": 2.0, "learning_rate": 2.7500000000000004e-05, "loss": 0.4078, "step": 1010 }, { "epoch": 2.01, "learning_rate": 2.7222222222222223e-05, "loss": 0.0143, "step": 1020 }, { "epoch": 2.02, "learning_rate": 2.6944444444444445e-05, "loss": 0.1438, "step": 1030 }, { "epoch": 2.02, "learning_rate": 2.6666666666666667e-05, "loss": 0.0026, "step": 1040 }, { "epoch": 2.02, "learning_rate": 2.6388888888888892e-05, "loss": 0.0379, "step": 1050 }, { "epoch": 2.03, "learning_rate": 2.6111111111111114e-05, "loss": 0.2624, "step": 1060 }, { "epoch": 2.04, "learning_rate": 2.5833333333333336e-05, "loss": 0.0402, "step": 1070 }, { "epoch": 2.04, "learning_rate": 2.5555555555555554e-05, "loss": 0.0015, "step": 1080 }, { "epoch": 2.04, "learning_rate": 2.527777777777778e-05, "loss": 0.3487, "step": 1090 }, { "epoch": 2.05, "learning_rate": 2.5e-05, "loss": 0.07, "step": 1100 }, { "epoch": 2.06, "learning_rate": 2.4722222222222223e-05, "loss": 0.0026, "step": 1110 }, { "epoch": 2.06, "learning_rate": 2.4444444444444445e-05, "loss": 0.0043, "step": 1120 }, { "epoch": 2.06, "learning_rate": 2.4166666666666667e-05, "loss": 0.3279, "step": 1130 }, { "epoch": 2.07, "learning_rate": 2.3888888888888892e-05, "loss": 0.0013, "step": 1140 }, { "epoch": 2.08, "learning_rate": 2.361111111111111e-05, "loss": 0.1997, "step": 1150 }, { "epoch": 2.08, "learning_rate": 2.3333333333333336e-05, "loss": 0.2843, "step": 1160 }, { "epoch": 2.08, "learning_rate": 2.3055555555555558e-05, "loss": 0.1788, "step": 1170 }, { "epoch": 2.09, "learning_rate": 2.277777777777778e-05, "loss": 0.2823, "step": 1180 }, { "epoch": 2.1, "learning_rate": 2.25e-05, "loss": 0.1454, "step": 1190 }, { "epoch": 2.1, "learning_rate": 2.2222222222222223e-05, "loss": 0.2271, "step": 1200 }, { "epoch": 2.1, "learning_rate": 2.1944444444444445e-05, "loss": 0.2382, "step": 1210 }, { "epoch": 2.11, "learning_rate": 2.1666666666666667e-05, "loss": 0.2126, "step": 1220 }, { "epoch": 2.12, "learning_rate": 2.138888888888889e-05, "loss": 0.1598, "step": 1230 }, { "epoch": 2.12, "learning_rate": 2.111111111111111e-05, "loss": 0.1449, "step": 1240 }, { "epoch": 2.12, "learning_rate": 2.0833333333333336e-05, "loss": 0.1044, "step": 1250 }, { "epoch": 2.13, "learning_rate": 2.0555555555555555e-05, "loss": 0.1336, "step": 1260 }, { "epoch": 2.13, "learning_rate": 2.027777777777778e-05, "loss": 0.1929, "step": 1270 }, { "epoch": 2.14, "learning_rate": 2e-05, "loss": 0.2308, "step": 1280 }, { "epoch": 2.15, "learning_rate": 1.9722222222222224e-05, "loss": 0.2783, "step": 1290 }, { "epoch": 2.15, "learning_rate": 1.9444444444444445e-05, "loss": 0.0015, "step": 1300 }, { "epoch": 2.15, "learning_rate": 1.9166666666666667e-05, "loss": 0.0012, "step": 1310 }, { "epoch": 2.16, "learning_rate": 1.888888888888889e-05, "loss": 0.1149, "step": 1320 }, { "epoch": 2.17, "learning_rate": 1.861111111111111e-05, "loss": 0.2485, "step": 1330 }, { "epoch": 2.17, "learning_rate": 1.8333333333333333e-05, "loss": 0.2186, "step": 1340 }, { "epoch": 2.17, "learning_rate": 1.8055555555555555e-05, "loss": 0.0037, "step": 1350 }, { "epoch": 2.18, "learning_rate": 1.777777777777778e-05, "loss": 0.1625, "step": 1360 }, { "epoch": 2.19, "learning_rate": 1.75e-05, "loss": 0.0012, "step": 1370 }, { "epoch": 2.19, "learning_rate": 1.7222222222222224e-05, "loss": 0.1512, "step": 1380 }, { "epoch": 2.19, "learning_rate": 1.6944444444444446e-05, "loss": 0.4087, "step": 1390 }, { "epoch": 2.2, "learning_rate": 1.6666666666666667e-05, "loss": 0.202, "step": 1400 }, { "epoch": 2.21, "learning_rate": 1.638888888888889e-05, "loss": 0.0017, "step": 1410 }, { "epoch": 2.21, "learning_rate": 1.6111111111111115e-05, "loss": 0.0014, "step": 1420 }, { "epoch": 2.21, "learning_rate": 1.5833333333333333e-05, "loss": 0.2225, "step": 1430 }, { "epoch": 2.22, "learning_rate": 1.5555555555555555e-05, "loss": 0.1513, "step": 1440 }, { "epoch": 2.23, "learning_rate": 1.527777777777778e-05, "loss": 0.0076, "step": 1450 }, { "epoch": 2.23, "learning_rate": 1.5e-05, "loss": 0.1032, "step": 1460 }, { "epoch": 2.23, "learning_rate": 1.4722222222222224e-05, "loss": 0.2871, "step": 1470 }, { "epoch": 2.24, "learning_rate": 1.4444444444444444e-05, "loss": 0.0019, "step": 1480 }, { "epoch": 2.25, "learning_rate": 1.4166666666666668e-05, "loss": 0.2831, "step": 1490 }, { "epoch": 2.25, "learning_rate": 1.388888888888889e-05, "loss": 0.0083, "step": 1500 }, { "epoch": 2.25, "eval_accuracy": 0.5529801324503312, "eval_loss": 2.5333240032196045, "eval_runtime": 159.2778, "eval_samples_per_second": 1.896, "eval_steps_per_second": 0.477, "step": 1500 }, { "epoch": 3.0, "learning_rate": 1.3611111111111111e-05, "loss": 0.0368, "step": 1510 }, { "epoch": 3.01, "learning_rate": 1.3333333333333333e-05, "loss": 0.1345, "step": 1520 }, { "epoch": 3.02, "learning_rate": 1.3055555555555557e-05, "loss": 0.0029, "step": 1530 }, { "epoch": 3.02, "learning_rate": 1.2777777777777777e-05, "loss": 0.0027, "step": 1540 }, { "epoch": 3.02, "learning_rate": 1.25e-05, "loss": 0.0034, "step": 1550 }, { "epoch": 3.03, "learning_rate": 1.2222222222222222e-05, "loss": 0.2249, "step": 1560 }, { "epoch": 3.04, "learning_rate": 1.1944444444444446e-05, "loss": 0.0012, "step": 1570 }, { "epoch": 3.04, "learning_rate": 1.1666666666666668e-05, "loss": 0.0011, "step": 1580 }, { "epoch": 3.04, "learning_rate": 1.138888888888889e-05, "loss": 0.0007, "step": 1590 }, { "epoch": 3.05, "learning_rate": 1.1111111111111112e-05, "loss": 0.001, "step": 1600 }, { "epoch": 3.06, "learning_rate": 1.0833333333333334e-05, "loss": 0.0015, "step": 1610 }, { "epoch": 3.06, "learning_rate": 1.0555555555555555e-05, "loss": 0.0253, "step": 1620 }, { "epoch": 3.06, "learning_rate": 1.0277777777777777e-05, "loss": 0.1231, "step": 1630 }, { "epoch": 3.07, "learning_rate": 1e-05, "loss": 0.1413, "step": 1640 }, { "epoch": 3.08, "learning_rate": 9.722222222222223e-06, "loss": 0.1219, "step": 1650 }, { "epoch": 3.08, "learning_rate": 9.444444444444445e-06, "loss": 0.0017, "step": 1660 }, { "epoch": 3.08, "learning_rate": 9.166666666666666e-06, "loss": 0.2959, "step": 1670 }, { "epoch": 3.09, "learning_rate": 8.88888888888889e-06, "loss": 0.0012, "step": 1680 }, { "epoch": 3.1, "learning_rate": 8.611111111111112e-06, "loss": 0.1811, "step": 1690 }, { "epoch": 3.1, "learning_rate": 8.333333333333334e-06, "loss": 0.0073, "step": 1700 }, { "epoch": 3.1, "learning_rate": 8.055555555555557e-06, "loss": 0.0872, "step": 1710 }, { "epoch": 3.11, "learning_rate": 7.777777777777777e-06, "loss": 0.0008, "step": 1720 }, { "epoch": 3.12, "learning_rate": 7.5e-06, "loss": 0.001, "step": 1730 }, { "epoch": 3.12, "learning_rate": 7.222222222222222e-06, "loss": 0.2962, "step": 1740 }, { "epoch": 3.12, "learning_rate": 6.944444444444445e-06, "loss": 0.0876, "step": 1750 }, { "epoch": 3.13, "learning_rate": 6.666666666666667e-06, "loss": 0.0923, "step": 1760 }, { "epoch": 3.13, "learning_rate": 6.3888888888888885e-06, "loss": 0.0024, "step": 1770 }, { "epoch": 3.14, "learning_rate": 6.111111111111111e-06, "loss": 0.0018, "step": 1780 }, { "epoch": 3.15, "learning_rate": 5.833333333333334e-06, "loss": 0.0008, "step": 1790 }, { "epoch": 3.15, "learning_rate": 5.555555555555556e-06, "loss": 0.1655, "step": 1800 }, { "epoch": 3.15, "learning_rate": 5.277777777777778e-06, "loss": 0.0009, "step": 1810 }, { "epoch": 3.16, "learning_rate": 5e-06, "loss": 0.0271, "step": 1820 }, { "epoch": 3.17, "learning_rate": 4.722222222222222e-06, "loss": 0.0825, "step": 1830 }, { "epoch": 3.17, "learning_rate": 4.444444444444445e-06, "loss": 0.0915, "step": 1840 }, { "epoch": 3.17, "learning_rate": 4.166666666666667e-06, "loss": 0.0011, "step": 1850 }, { "epoch": 3.18, "learning_rate": 3.888888888888889e-06, "loss": 0.2249, "step": 1860 }, { "epoch": 3.19, "learning_rate": 3.611111111111111e-06, "loss": 0.001, "step": 1870 }, { "epoch": 3.19, "learning_rate": 3.3333333333333333e-06, "loss": 0.1616, "step": 1880 }, { "epoch": 3.19, "learning_rate": 3.0555555555555556e-06, "loss": 0.0009, "step": 1890 }, { "epoch": 3.2, "learning_rate": 2.777777777777778e-06, "loss": 0.0009, "step": 1900 }, { "epoch": 3.21, "learning_rate": 2.5e-06, "loss": 0.0008, "step": 1910 }, { "epoch": 3.21, "learning_rate": 2.2222222222222225e-06, "loss": 0.0007, "step": 1920 }, { "epoch": 3.21, "learning_rate": 1.9444444444444444e-06, "loss": 0.1779, "step": 1930 }, { "epoch": 3.22, "learning_rate": 1.6666666666666667e-06, "loss": 0.1649, "step": 1940 }, { "epoch": 3.23, "learning_rate": 1.388888888888889e-06, "loss": 0.0008, "step": 1950 }, { "epoch": 3.23, "learning_rate": 1.1111111111111112e-06, "loss": 0.0026, "step": 1960 }, { "epoch": 3.23, "learning_rate": 8.333333333333333e-07, "loss": 0.0032, "step": 1970 }, { "epoch": 3.24, "learning_rate": 5.555555555555556e-07, "loss": 0.1384, "step": 1980 }, { "epoch": 3.25, "learning_rate": 2.777777777777778e-07, "loss": 0.0061, "step": 1990 }, { "epoch": 3.25, "learning_rate": 0.0, "loss": 0.0009, "step": 2000 }, { "epoch": 3.25, "eval_accuracy": 0.6556291390728477, "eval_loss": 2.1635005474090576, "eval_runtime": 157.8089, "eval_samples_per_second": 1.914, "eval_steps_per_second": 0.482, "step": 2000 }, { "epoch": 3.25, "step": 2000, "total_flos": 9.968516715773952e+18, "train_loss": 0.22924756015650927, "train_runtime": 6295.3826, "train_samples_per_second": 1.271, "train_steps_per_second": 0.318 }, { "epoch": 3.25, "eval_accuracy": 0.6655629139072847, "eval_loss": 1.7202953100204468, "eval_runtime": 161.3009, "eval_samples_per_second": 1.872, "eval_steps_per_second": 0.471, "step": 2000 }, { "epoch": 3.25, "eval_accuracy": 0.6655629139072847, "eval_loss": 1.7202953100204468, "eval_runtime": 156.137, "eval_samples_per_second": 1.934, "eval_steps_per_second": 0.487, "step": 2000 } ], "logging_steps": 10, "max_steps": 2000, "num_train_epochs": 9223372036854775807, "save_steps": 500, "total_flos": 9.968516715773952e+18, "trial_name": null, "trial_params": null }