{ "best_metric": null, "best_model_checkpoint": null, "epoch": 3.0, "global_step": 20205, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.0, "learning_rate": 0.0, "loss": 0.0817, "step": 30 }, { "epoch": 0.01, "learning_rate": 0.0, "loss": 0.0261, "step": 60 }, { "epoch": 0.01, "learning_rate": 0.0, "loss": 0.0766, "step": 90 }, { "epoch": 0.02, "learning_rate": 0.0, "loss": 0.086, "step": 120 }, { "epoch": 0.02, "learning_rate": 0.0, "loss": 0.0375, "step": 150 }, { "epoch": 0.03, "learning_rate": 0.0, "loss": 0.0229, "step": 180 }, { "epoch": 0.03, "learning_rate": 0.0, "loss": 0.0396, "step": 210 }, { "epoch": 0.04, "learning_rate": 0.0, "loss": 0.056, "step": 240 }, { "epoch": 0.04, "learning_rate": 0.0, "loss": 0.0579, "step": 270 }, { "epoch": 0.04, "learning_rate": 0.0, "loss": 0.0549, "step": 300 }, { "epoch": 0.05, "learning_rate": 0.0, "loss": 0.0648, "step": 330 }, { "epoch": 0.05, "learning_rate": 0.0, "loss": 0.1489, "step": 360 }, { "epoch": 0.06, "learning_rate": 0.0, "loss": 0.0751, "step": 390 }, { "epoch": 0.06, "learning_rate": 0.0, "loss": 0.0712, "step": 420 }, { "epoch": 0.07, "learning_rate": 0.0, "loss": 0.0607, "step": 450 }, { "epoch": 0.07, "learning_rate": 0.0, "loss": 0.034, "step": 480 }, { "epoch": 0.08, "learning_rate": 0.0, "loss": 0.1474, "step": 510 }, { "epoch": 0.08, "learning_rate": 0.0, "loss": 0.0299, "step": 540 }, { "epoch": 0.08, "learning_rate": 0.0, "loss": 0.1422, "step": 570 }, { "epoch": 0.09, "learning_rate": 0.0, "loss": 0.0407, "step": 600 }, { "epoch": 0.09, "learning_rate": 0.0, "loss": 0.0623, "step": 630 }, { "epoch": 0.1, "learning_rate": 0.0, "loss": 0.0343, "step": 660 }, { "epoch": 0.1, "learning_rate": 0.0, "loss": 0.0622, "step": 690 }, { "epoch": 0.11, "learning_rate": 0.0, "loss": 0.1015, "step": 720 }, { "epoch": 0.11, "learning_rate": 0.0, "loss": 0.0592, "step": 750 }, { "epoch": 0.12, "learning_rate": 0.0, "loss": 0.0768, "step": 780 }, { "epoch": 0.12, "learning_rate": 0.0, "loss": 0.0447, "step": 810 }, { "epoch": 0.12, "learning_rate": 0.0, "loss": 0.1074, "step": 840 }, { "epoch": 0.13, "learning_rate": 0.0, "loss": 0.0646, "step": 870 }, { "epoch": 0.13, "learning_rate": 0.0, "loss": 0.1365, "step": 900 }, { "epoch": 0.14, "learning_rate": 0.0, "loss": 0.0675, "step": 930 }, { "epoch": 0.14, "learning_rate": 0.0, "loss": 0.0656, "step": 960 }, { "epoch": 0.15, "learning_rate": 0.0, "loss": 0.0482, "step": 990 }, { "epoch": 0.15, "learning_rate": 0.0, "loss": 0.1055, "step": 1020 }, { "epoch": 0.16, "learning_rate": 0.0, "loss": 0.0523, "step": 1050 }, { "epoch": 0.16, "learning_rate": 0.0, "loss": 0.029, "step": 1080 }, { "epoch": 0.16, "learning_rate": 0.0, "loss": 0.0353, "step": 1110 }, { "epoch": 0.17, "learning_rate": 0.0, "loss": 0.0729, "step": 1140 }, { "epoch": 0.17, "learning_rate": 0.0, "loss": 0.0777, "step": 1170 }, { "epoch": 0.18, "learning_rate": 0.0, "loss": 0.0219, "step": 1200 }, { "epoch": 0.18, "learning_rate": 0.0, "loss": 0.0666, "step": 1230 }, { "epoch": 0.19, "learning_rate": 0.0, "loss": 0.0667, "step": 1260 }, { "epoch": 0.19, "learning_rate": 0.0, "loss": 0.1055, "step": 1290 }, { "epoch": 0.2, "learning_rate": 0.0, "loss": 0.0116, "step": 1320 }, { "epoch": 0.2, "learning_rate": 0.0, "loss": 0.0653, "step": 1350 }, { "epoch": 0.2, "learning_rate": 0.0, "loss": 0.0591, "step": 1380 }, { "epoch": 0.21, "learning_rate": 0.0, "loss": 0.0873, "step": 1410 }, { "epoch": 0.21, "learning_rate": 0.0, "loss": 0.0955, "step": 1440 }, { "epoch": 0.22, "learning_rate": 0.0, "loss": 0.0401, "step": 1470 }, { "epoch": 0.22, "learning_rate": 0.0, "loss": 0.0654, "step": 1500 }, { "epoch": 0.23, "learning_rate": 0.0, "loss": 0.0282, "step": 1530 }, { "epoch": 0.23, "learning_rate": 0.0, "loss": 0.0714, "step": 1560 }, { "epoch": 0.24, "learning_rate": 0.0, "loss": 0.0601, "step": 1590 }, { "epoch": 0.24, "learning_rate": 0.0, "loss": 0.045, "step": 1620 }, { "epoch": 0.24, "learning_rate": 0.0, "loss": 0.0646, "step": 1650 }, { "epoch": 0.25, "learning_rate": 0.0, "loss": 0.0687, "step": 1680 }, { "epoch": 0.25, "learning_rate": 0.0, "loss": 0.0392, "step": 1710 }, { "epoch": 0.26, "learning_rate": 0.0, "loss": 0.0484, "step": 1740 }, { "epoch": 0.26, "learning_rate": 0.0, "loss": 0.1054, "step": 1770 }, { "epoch": 0.27, "learning_rate": 0.0, "loss": 0.0774, "step": 1800 }, { "epoch": 0.27, "learning_rate": 0.0, "loss": 0.0981, "step": 1830 }, { "epoch": 0.28, "learning_rate": 0.0, "loss": 0.1039, "step": 1860 }, { "epoch": 0.28, "learning_rate": 0.0, "loss": 0.1142, "step": 1890 }, { "epoch": 0.29, "learning_rate": 0.0, "loss": 0.0411, "step": 1920 }, { "epoch": 0.29, "learning_rate": 0.0, "loss": 0.1089, "step": 1950 }, { "epoch": 0.29, "learning_rate": 0.0, "loss": 0.1218, "step": 1980 }, { "epoch": 0.3, "learning_rate": 0.0, "loss": 0.0586, "step": 2010 }, { "epoch": 0.3, "learning_rate": 0.0, "loss": 0.1293, "step": 2040 }, { "epoch": 0.31, "learning_rate": 0.0, "loss": 0.099, "step": 2070 }, { "epoch": 0.31, "learning_rate": 0.0, "loss": 0.122, "step": 2100 }, { "epoch": 0.32, "learning_rate": 0.0, "loss": 0.0378, "step": 2130 }, { "epoch": 0.32, "learning_rate": 0.0, "loss": 0.0459, "step": 2160 }, { "epoch": 0.33, "learning_rate": 0.0, "loss": 0.0891, "step": 2190 }, { "epoch": 0.33, "learning_rate": 0.0, "loss": 0.1211, "step": 2220 }, { "epoch": 0.33, "learning_rate": 0.0, "loss": 0.0728, "step": 2250 }, { "epoch": 0.34, "learning_rate": 0.0, "loss": 0.137, "step": 2280 }, { "epoch": 0.34, "learning_rate": 0.0, "loss": 0.063, "step": 2310 }, { "epoch": 0.35, "learning_rate": 0.0, "loss": 0.0641, "step": 2340 }, { "epoch": 0.35, "learning_rate": 0.0, "loss": 0.063, "step": 2370 }, { "epoch": 0.36, "learning_rate": 0.0, "loss": 0.1139, "step": 2400 }, { "epoch": 0.36, "learning_rate": 0.0, "loss": 0.0635, "step": 2430 }, { "epoch": 0.37, "learning_rate": 0.0, "loss": 0.1686, "step": 2460 }, { "epoch": 0.37, "learning_rate": 0.0, "loss": 0.0634, "step": 2490 }, { "epoch": 0.37, "learning_rate": 0.0, "loss": 0.0768, "step": 2520 }, { "epoch": 0.38, "learning_rate": 0.0, "loss": 0.0431, "step": 2550 }, { "epoch": 0.38, "learning_rate": 0.0, "loss": 0.036, "step": 2580 }, { "epoch": 0.39, "learning_rate": 0.0, "loss": 0.0538, "step": 2610 }, { "epoch": 0.39, "learning_rate": 0.0, "loss": 0.0432, "step": 2640 }, { "epoch": 0.4, "learning_rate": 0.0, "loss": 0.0332, "step": 2670 }, { "epoch": 0.4, "learning_rate": 0.0, "loss": 0.0292, "step": 2700 }, { "epoch": 0.41, "learning_rate": 0.0, "loss": 0.0604, "step": 2730 }, { "epoch": 0.41, "learning_rate": 0.0, "loss": 0.1014, "step": 2760 }, { "epoch": 0.41, "learning_rate": 0.0, "loss": 0.0594, "step": 2790 }, { "epoch": 0.42, "learning_rate": 0.0, "loss": 0.0691, "step": 2820 }, { "epoch": 0.42, "learning_rate": 0.0, "loss": 0.0353, "step": 2850 }, { "epoch": 0.43, "learning_rate": 0.0, "loss": 0.0507, "step": 2880 }, { "epoch": 0.43, "learning_rate": 0.0, "loss": 0.0334, "step": 2910 }, { "epoch": 0.44, "learning_rate": 0.0, "loss": 0.0884, "step": 2940 }, { "epoch": 0.44, "learning_rate": 0.0, "loss": 0.1243, "step": 2970 }, { "epoch": 0.45, "learning_rate": 0.0, "loss": 0.0736, "step": 3000 }, { "epoch": 0.45, "learning_rate": 0.0, "loss": 0.1229, "step": 3030 }, { "epoch": 0.45, "learning_rate": 0.0, "loss": 0.0787, "step": 3060 }, { "epoch": 0.46, "learning_rate": 0.0, "loss": 0.0526, "step": 3090 }, { "epoch": 0.46, "learning_rate": 0.0, "loss": 0.0702, "step": 3120 }, { "epoch": 0.47, "learning_rate": 0.0, "loss": 0.1156, "step": 3150 }, { "epoch": 0.47, "learning_rate": 0.0, "loss": 0.0353, "step": 3180 }, { "epoch": 0.48, "learning_rate": 0.0, "loss": 0.0415, "step": 3210 }, { "epoch": 0.48, "learning_rate": 0.0, "loss": 0.0834, "step": 3240 }, { "epoch": 0.49, "learning_rate": 0.0, "loss": 0.0678, "step": 3270 }, { "epoch": 0.49, "learning_rate": 0.0, "loss": 0.0438, "step": 3300 }, { "epoch": 0.49, "learning_rate": 0.0, "loss": 0.0927, "step": 3330 }, { "epoch": 0.5, "learning_rate": 0.0, "loss": 0.0776, "step": 3360 }, { "epoch": 0.5, "learning_rate": 0.0, "loss": 0.0336, "step": 3390 }, { "epoch": 0.51, "learning_rate": 0.0, "loss": 0.0639, "step": 3420 }, { "epoch": 0.51, "learning_rate": 0.0, "loss": 0.0738, "step": 3450 }, { "epoch": 0.52, "learning_rate": 0.0, "loss": 0.079, "step": 3480 }, { "epoch": 0.52, "learning_rate": 0.0, "loss": 0.1838, "step": 3510 }, { "epoch": 0.53, "learning_rate": 0.0, "loss": 0.1083, "step": 3540 }, { "epoch": 0.53, "learning_rate": 0.0, "loss": 0.0642, "step": 3570 }, { "epoch": 0.53, "learning_rate": 0.0, "loss": 0.0728, "step": 3600 }, { "epoch": 0.54, "learning_rate": 0.0, "loss": 0.0342, "step": 3630 }, { "epoch": 0.54, "learning_rate": 0.0, "loss": 0.0867, "step": 3660 }, { "epoch": 0.55, "learning_rate": 0.0, "loss": 0.1483, "step": 3690 }, { "epoch": 0.55, "learning_rate": 0.0, "loss": 0.0346, "step": 3720 }, { "epoch": 0.56, "learning_rate": 0.0, "loss": 0.107, "step": 3750 }, { "epoch": 0.56, "learning_rate": 0.0, "loss": 0.0428, "step": 3780 }, { "epoch": 0.57, "learning_rate": 0.0, "loss": 0.0922, "step": 3810 }, { "epoch": 0.57, "learning_rate": 0.0, "loss": 0.0726, "step": 3840 }, { "epoch": 0.57, "learning_rate": 0.0, "loss": 0.0371, "step": 3870 }, { "epoch": 0.58, "learning_rate": 0.0, "loss": 0.1188, "step": 3900 }, { "epoch": 0.58, "learning_rate": 0.0, "loss": 0.1053, "step": 3930 }, { "epoch": 0.59, "learning_rate": 0.0, "loss": 0.0906, "step": 3960 }, { "epoch": 0.59, "learning_rate": 0.0, "loss": 0.1179, "step": 3990 }, { "epoch": 0.6, "learning_rate": 0.0, "loss": 0.0883, "step": 4020 }, { "epoch": 0.6, "learning_rate": 0.0, "loss": 0.0257, "step": 4050 }, { "epoch": 0.61, "learning_rate": 0.0, "loss": 0.0392, "step": 4080 }, { "epoch": 0.61, "learning_rate": 0.0, "loss": 0.0904, "step": 4110 }, { "epoch": 0.61, "learning_rate": 0.0, "loss": 0.0156, "step": 4140 }, { "epoch": 0.62, "learning_rate": 0.0, "loss": 0.1197, "step": 4170 }, { "epoch": 0.62, "learning_rate": 0.0, "loss": 0.0236, "step": 4200 }, { "epoch": 0.63, "learning_rate": 0.0, "loss": 0.0465, "step": 4230 }, { "epoch": 0.63, "learning_rate": 0.0, "loss": 0.0165, "step": 4260 }, { "epoch": 0.64, "learning_rate": 0.0, "loss": 0.0862, "step": 4290 }, { "epoch": 0.64, "learning_rate": 0.0, "loss": 0.0598, "step": 4320 }, { "epoch": 0.65, "learning_rate": 0.0, "loss": 0.0118, "step": 4350 }, { "epoch": 0.65, "learning_rate": 0.0, "loss": 0.0712, "step": 4380 }, { "epoch": 0.65, "learning_rate": 0.0, "loss": 0.0731, "step": 4410 }, { "epoch": 0.66, "learning_rate": 0.0, "loss": 0.0653, "step": 4440 }, { "epoch": 0.66, "learning_rate": 0.0, "loss": 0.1226, "step": 4470 }, { "epoch": 0.67, "learning_rate": 0.0, "loss": 0.0852, "step": 4500 }, { "epoch": 0.67, "learning_rate": 0.0, "loss": 0.1108, "step": 4530 }, { "epoch": 0.68, "learning_rate": 0.0, "loss": 0.0994, "step": 4560 }, { "epoch": 0.68, "learning_rate": 0.0, "loss": 0.0463, "step": 4590 }, { "epoch": 0.69, "learning_rate": 0.0, "loss": 0.0494, "step": 4620 }, { "epoch": 0.69, "learning_rate": 0.0, "loss": 0.0918, "step": 4650 }, { "epoch": 0.69, "learning_rate": 0.0, "loss": 0.0257, "step": 4680 }, { "epoch": 0.7, "learning_rate": 0.0, "loss": 0.0314, "step": 4710 }, { "epoch": 0.7, "learning_rate": 0.0, "loss": 0.0436, "step": 4740 }, { "epoch": 0.71, "learning_rate": 0.0, "loss": 0.0174, "step": 4770 }, { "epoch": 0.71, "learning_rate": 0.0, "loss": 0.0521, "step": 4800 }, { "epoch": 0.72, "learning_rate": 0.0, "loss": 0.1076, "step": 4830 }, { "epoch": 0.72, "learning_rate": 0.0, "loss": 0.0506, "step": 4860 }, { "epoch": 0.73, "learning_rate": 0.0, "loss": 0.0619, "step": 4890 }, { "epoch": 0.73, "learning_rate": 0.0, "loss": 0.0782, "step": 4920 }, { "epoch": 0.73, "learning_rate": 0.0, "loss": 0.051, "step": 4950 }, { "epoch": 0.74, "learning_rate": 0.0, "loss": 0.0376, "step": 4980 }, { "epoch": 0.74, "learning_rate": 0.0, "loss": 0.0611, "step": 5010 }, { "epoch": 0.75, "learning_rate": 0.0, "loss": 0.0864, "step": 5040 }, { "epoch": 0.75, "learning_rate": 0.0, "loss": 0.1291, "step": 5070 }, { "epoch": 0.76, "learning_rate": 0.0, "loss": 0.0943, "step": 5100 }, { "epoch": 0.76, "learning_rate": 0.0, "loss": 0.1185, "step": 5130 }, { "epoch": 0.77, "learning_rate": 0.0, "loss": 0.0729, "step": 5160 }, { "epoch": 0.77, "learning_rate": 0.0, "loss": 0.0837, "step": 5190 }, { "epoch": 0.78, "learning_rate": 0.0, "loss": 0.1156, "step": 5220 }, { "epoch": 0.78, "learning_rate": 0.0, "loss": 0.0881, "step": 5250 }, { "epoch": 0.78, "learning_rate": 0.0, "loss": 0.0483, "step": 5280 }, { "epoch": 0.79, "learning_rate": 0.0, "loss": 0.0205, "step": 5310 }, { "epoch": 0.79, "learning_rate": 0.0, "loss": 0.0741, "step": 5340 }, { "epoch": 0.8, "learning_rate": 0.0, "loss": 0.0604, "step": 5370 }, { "epoch": 0.8, "learning_rate": 0.0, "loss": 0.0603, "step": 5400 }, { "epoch": 0.81, "learning_rate": 0.0, "loss": 0.0519, "step": 5430 }, { "epoch": 0.81, "learning_rate": 0.0, "loss": 0.0919, "step": 5460 }, { "epoch": 0.82, "learning_rate": 0.0, "loss": 0.0546, "step": 5490 }, { "epoch": 0.82, "learning_rate": 0.0, "loss": 0.0426, "step": 5520 }, { "epoch": 0.82, "learning_rate": 0.0, "loss": 0.0767, "step": 5550 }, { "epoch": 0.83, "learning_rate": 0.0, "loss": 0.0756, "step": 5580 }, { "epoch": 0.83, "learning_rate": 0.0, "loss": 0.0686, "step": 5610 }, { "epoch": 0.84, "learning_rate": 0.0, "loss": 0.1233, "step": 5640 }, { "epoch": 0.84, "learning_rate": 0.0, "loss": 0.0656, "step": 5670 }, { "epoch": 0.85, "learning_rate": 0.0, "loss": 0.0585, "step": 5700 }, { "epoch": 0.85, "learning_rate": 0.0, "loss": 0.0535, "step": 5730 }, { "epoch": 0.86, "learning_rate": 0.0, "loss": 0.1607, "step": 5760 }, { "epoch": 0.86, "learning_rate": 0.0, "loss": 0.0991, "step": 5790 }, { "epoch": 0.86, "learning_rate": 0.0, "loss": 0.0671, "step": 5820 }, { "epoch": 0.87, "learning_rate": 0.0, "loss": 0.1062, "step": 5850 }, { "epoch": 0.87, "learning_rate": 0.0, "loss": 0.0766, "step": 5880 }, { "epoch": 0.88, "learning_rate": 0.0, "loss": 0.0583, "step": 5910 }, { "epoch": 0.88, "learning_rate": 0.0, "loss": 0.1114, "step": 5940 }, { "epoch": 0.89, "learning_rate": 0.0, "loss": 0.0918, "step": 5970 }, { "epoch": 0.89, "learning_rate": 0.0, "loss": 0.0539, "step": 6000 }, { "epoch": 0.9, "learning_rate": 0.0, "loss": 0.135, "step": 6030 }, { "epoch": 0.9, "learning_rate": 0.0, "loss": 0.0425, "step": 6060 }, { "epoch": 0.9, "learning_rate": 0.0, "loss": 0.1668, "step": 6090 }, { "epoch": 0.91, "learning_rate": 0.0, "loss": 0.0206, "step": 6120 }, { "epoch": 0.91, "learning_rate": 0.0, "loss": 0.0452, "step": 6150 }, { "epoch": 0.92, "learning_rate": 0.0, "loss": 0.1687, "step": 6180 }, { "epoch": 0.92, "learning_rate": 0.0, "loss": 0.1512, "step": 6210 }, { "epoch": 0.93, "learning_rate": 0.0, "loss": 0.0162, "step": 6240 }, { "epoch": 0.93, "learning_rate": 0.0, "loss": 0.046, "step": 6270 }, { "epoch": 0.94, "learning_rate": 0.0, "loss": 0.1362, "step": 6300 }, { "epoch": 0.94, "learning_rate": 0.0, "loss": 0.0913, "step": 6330 }, { "epoch": 0.94, "learning_rate": 0.0, "loss": 0.1346, "step": 6360 }, { "epoch": 0.95, "learning_rate": 0.0, "loss": 0.04, "step": 6390 }, { "epoch": 0.95, "learning_rate": 0.0, "loss": 0.1049, "step": 6420 }, { "epoch": 0.96, "learning_rate": 0.0, "loss": 0.0443, "step": 6450 }, { "epoch": 0.96, "learning_rate": 0.0, "loss": 0.0923, "step": 6480 }, { "epoch": 0.97, "learning_rate": 0.0, "loss": 0.0483, "step": 6510 }, { "epoch": 0.97, "learning_rate": 0.0, "loss": 0.0668, "step": 6540 }, { "epoch": 0.98, "learning_rate": 0.0, "loss": 0.0686, "step": 6570 }, { "epoch": 0.98, "learning_rate": 0.0, "loss": 0.1093, "step": 6600 }, { "epoch": 0.98, "learning_rate": 0.0, "loss": 0.0132, "step": 6630 }, { "epoch": 0.99, "learning_rate": 0.0, "loss": 0.0547, "step": 6660 }, { "epoch": 0.99, "learning_rate": 0.0, "loss": 0.056, "step": 6690 }, { "epoch": 1.0, "learning_rate": 0.0, "loss": 0.0847, "step": 6720 }, { "epoch": 1.0, "eval_accuracy": 0.9415137614678899, "eval_loss": 0.3246009051799774, "eval_runtime": 2.5067, "eval_samples_per_second": 347.87, "eval_steps_per_second": 35.106, "step": 6735 }, { "epoch": 1.0, "learning_rate": 0.0, "loss": 0.0416, "step": 6750 }, { "epoch": 1.01, "learning_rate": 0.0, "loss": 0.0397, "step": 6780 }, { "epoch": 1.01, "learning_rate": 0.0, "loss": 0.1238, "step": 6810 }, { "epoch": 1.02, "learning_rate": 0.0, "loss": 0.0772, "step": 6840 }, { "epoch": 1.02, "learning_rate": 0.0, "loss": 0.0706, "step": 6870 }, { "epoch": 1.02, "learning_rate": 0.0, "loss": 0.1078, "step": 6900 }, { "epoch": 1.03, "learning_rate": 0.0, "loss": 0.1038, "step": 6930 }, { "epoch": 1.03, "learning_rate": 0.0, "loss": 0.0703, "step": 6960 }, { "epoch": 1.04, "learning_rate": 0.0, "loss": 0.0859, "step": 6990 }, { "epoch": 1.04, "learning_rate": 0.0, "loss": 0.105, "step": 7020 }, { "epoch": 1.05, "learning_rate": 0.0, "loss": 0.074, "step": 7050 }, { "epoch": 1.05, "learning_rate": 0.0, "loss": 0.0429, "step": 7080 }, { "epoch": 1.06, "learning_rate": 0.0, "loss": 0.032, "step": 7110 }, { "epoch": 1.06, "learning_rate": 0.0, "loss": 0.1072, "step": 7140 }, { "epoch": 1.06, "learning_rate": 0.0, "loss": 0.0322, "step": 7170 }, { "epoch": 1.07, "learning_rate": 0.0, "loss": 0.0857, "step": 7200 }, { "epoch": 1.07, "learning_rate": 0.0, "loss": 0.0906, "step": 7230 }, { "epoch": 1.08, "learning_rate": 0.0, "loss": 0.0334, "step": 7260 }, { "epoch": 1.08, "learning_rate": 0.0, "loss": 0.0366, "step": 7290 }, { "epoch": 1.09, "learning_rate": 0.0, "loss": 0.0602, "step": 7320 }, { "epoch": 1.09, "learning_rate": 0.0, "loss": 0.0545, "step": 7350 }, { "epoch": 1.1, "learning_rate": 0.0, "loss": 0.1206, "step": 7380 }, { "epoch": 1.1, "learning_rate": 0.0, "loss": 0.0517, "step": 7410 }, { "epoch": 1.1, "learning_rate": 0.0, "loss": 0.0758, "step": 7440 }, { "epoch": 1.11, "learning_rate": 0.0, "loss": 0.0472, "step": 7470 }, { "epoch": 1.11, "learning_rate": 0.0, "loss": 0.0856, "step": 7500 }, { "epoch": 1.12, "learning_rate": 0.0, "loss": 0.1196, "step": 7530 }, { "epoch": 1.12, "learning_rate": 0.0, "loss": 0.076, "step": 7560 }, { "epoch": 1.13, "learning_rate": 0.0, "loss": 0.0305, "step": 7590 }, { "epoch": 1.13, "learning_rate": 0.0, "loss": 0.0697, "step": 7620 }, { "epoch": 1.14, "learning_rate": 0.0, "loss": 0.0413, "step": 7650 }, { "epoch": 1.14, "learning_rate": 0.0, "loss": 0.0913, "step": 7680 }, { "epoch": 1.14, "learning_rate": 0.0, "loss": 0.0663, "step": 7710 }, { "epoch": 1.15, "learning_rate": 0.0, "loss": 0.0995, "step": 7740 }, { "epoch": 1.15, "learning_rate": 0.0, "loss": 0.0995, "step": 7770 }, { "epoch": 1.16, "learning_rate": 0.0, "loss": 0.0292, "step": 7800 }, { "epoch": 1.16, "learning_rate": 0.0, "loss": 0.0609, "step": 7830 }, { "epoch": 1.17, "learning_rate": 0.0, "loss": 0.0766, "step": 7860 }, { "epoch": 1.17, "learning_rate": 0.0, "loss": 0.021, "step": 7890 }, { "epoch": 1.18, "learning_rate": 0.0, "loss": 0.0567, "step": 7920 }, { "epoch": 1.18, "learning_rate": 0.0, "loss": 0.0636, "step": 7950 }, { "epoch": 1.18, "learning_rate": 0.0, "loss": 0.0213, "step": 7980 }, { "epoch": 1.19, "learning_rate": 0.0, "loss": 0.0308, "step": 8010 }, { "epoch": 1.19, "learning_rate": 0.0, "loss": 0.0877, "step": 8040 }, { "epoch": 1.2, "learning_rate": 0.0, "loss": 0.0501, "step": 8070 }, { "epoch": 1.2, "learning_rate": 0.0, "loss": 0.0387, "step": 8100 }, { "epoch": 1.21, "learning_rate": 0.0, "loss": 0.0369, "step": 8130 }, { "epoch": 1.21, "learning_rate": 0.0, "loss": 0.0791, "step": 8160 }, { "epoch": 1.22, "learning_rate": 0.0, "loss": 0.1032, "step": 8190 }, { "epoch": 1.22, "learning_rate": 0.0, "loss": 0.082, "step": 8220 }, { "epoch": 1.22, "learning_rate": 0.0, "loss": 0.0352, "step": 8250 }, { "epoch": 1.23, "learning_rate": 0.0, "loss": 0.0494, "step": 8280 }, { "epoch": 1.23, "learning_rate": 0.0, "loss": 0.0788, "step": 8310 }, { "epoch": 1.24, "learning_rate": 0.0, "loss": 0.0247, "step": 8340 }, { "epoch": 1.24, "learning_rate": 0.0, "loss": 0.1044, "step": 8370 }, { "epoch": 1.25, "learning_rate": 0.0, "loss": 0.1092, "step": 8400 }, { "epoch": 1.25, "learning_rate": 0.0, "loss": 0.0788, "step": 8430 }, { "epoch": 1.26, "learning_rate": 0.0, "loss": 0.099, "step": 8460 }, { "epoch": 1.26, "learning_rate": 0.0, "loss": 0.0419, "step": 8490 }, { "epoch": 1.27, "learning_rate": 0.0, "loss": 0.0443, "step": 8520 }, { "epoch": 1.27, "learning_rate": 0.0, "loss": 0.0651, "step": 8550 }, { "epoch": 1.27, "learning_rate": 0.0, "loss": 0.0834, "step": 8580 }, { "epoch": 1.28, "learning_rate": 0.0, "loss": 0.0812, "step": 8610 }, { "epoch": 1.28, "learning_rate": 0.0, "loss": 0.0982, "step": 8640 }, { "epoch": 1.29, "learning_rate": 0.0, "loss": 0.0102, "step": 8670 }, { "epoch": 1.29, "learning_rate": 0.0, "loss": 0.0878, "step": 8700 }, { "epoch": 1.3, "learning_rate": 0.0, "loss": 0.1202, "step": 8730 }, { "epoch": 1.3, "learning_rate": 0.0, "loss": 0.1057, "step": 8760 }, { "epoch": 1.31, "learning_rate": 0.0, "loss": 0.0425, "step": 8790 }, { "epoch": 1.31, "learning_rate": 0.0, "loss": 0.0443, "step": 8820 }, { "epoch": 1.31, "learning_rate": 0.0, "loss": 0.0672, "step": 8850 }, { "epoch": 1.32, "learning_rate": 0.0, "loss": 0.0554, "step": 8880 }, { "epoch": 1.32, "learning_rate": 0.0, "loss": 0.0715, "step": 8910 }, { "epoch": 1.33, "learning_rate": 0.0, "loss": 0.0992, "step": 8940 }, { "epoch": 1.33, "learning_rate": 0.0, "loss": 0.0257, "step": 8970 }, { "epoch": 1.34, "learning_rate": 0.0, "loss": 0.0716, "step": 9000 }, { "epoch": 1.34, "learning_rate": 0.0, "loss": 0.0471, "step": 9030 }, { "epoch": 1.35, "learning_rate": 0.0, "loss": 0.0293, "step": 9060 }, { "epoch": 1.35, "learning_rate": 0.0, "loss": 0.1055, "step": 9090 }, { "epoch": 1.35, "learning_rate": 0.0, "loss": 0.0806, "step": 9120 }, { "epoch": 1.36, "learning_rate": 0.0, "loss": 0.0881, "step": 9150 }, { "epoch": 1.36, "learning_rate": 0.0, "loss": 0.0776, "step": 9180 }, { "epoch": 1.37, "learning_rate": 0.0, "loss": 0.0329, "step": 9210 }, { "epoch": 1.37, "learning_rate": 0.0, "loss": 0.0593, "step": 9240 }, { "epoch": 1.38, "learning_rate": 0.0, "loss": 0.1015, "step": 9270 }, { "epoch": 1.38, "learning_rate": 0.0, "loss": 0.1131, "step": 9300 }, { "epoch": 1.39, "learning_rate": 0.0, "loss": 0.0407, "step": 9330 }, { "epoch": 1.39, "learning_rate": 0.0, "loss": 0.0163, "step": 9360 }, { "epoch": 1.39, "learning_rate": 0.0, "loss": 0.0478, "step": 9390 }, { "epoch": 1.4, "learning_rate": 0.0, "loss": 0.0946, "step": 9420 }, { "epoch": 1.4, "learning_rate": 0.0, "loss": 0.0746, "step": 9450 }, { "epoch": 1.41, "learning_rate": 0.0, "loss": 0.125, "step": 9480 }, { "epoch": 1.41, "learning_rate": 0.0, "loss": 0.0326, "step": 9510 }, { "epoch": 1.42, "learning_rate": 0.0, "loss": 0.0344, "step": 9540 }, { "epoch": 1.42, "learning_rate": 0.0, "loss": 0.0997, "step": 9570 }, { "epoch": 1.43, "learning_rate": 0.0, "loss": 0.0817, "step": 9600 }, { "epoch": 1.43, "learning_rate": 0.0, "loss": 0.0579, "step": 9630 }, { "epoch": 1.43, "learning_rate": 0.0, "loss": 0.0774, "step": 9660 }, { "epoch": 1.44, "learning_rate": 0.0, "loss": 0.1389, "step": 9690 }, { "epoch": 1.44, "learning_rate": 0.0, "loss": 0.1399, "step": 9720 }, { "epoch": 1.45, "learning_rate": 0.0, "loss": 0.0589, "step": 9750 }, { "epoch": 1.45, "learning_rate": 0.0, "loss": 0.1118, "step": 9780 }, { "epoch": 1.46, "learning_rate": 0.0, "loss": 0.1206, "step": 9810 }, { "epoch": 1.46, "learning_rate": 0.0, "loss": 0.116, "step": 9840 }, { "epoch": 1.47, "learning_rate": 0.0, "loss": 0.0421, "step": 9870 }, { "epoch": 1.47, "learning_rate": 0.0, "loss": 0.0894, "step": 9900 }, { "epoch": 1.47, "learning_rate": 0.0, "loss": 0.0312, "step": 9930 }, { "epoch": 1.48, "learning_rate": 0.0, "loss": 0.131, "step": 9960 }, { "epoch": 1.48, "learning_rate": 0.0, "loss": 0.1178, "step": 9990 }, { "epoch": 1.49, "learning_rate": 0.0, "loss": 0.0722, "step": 10020 }, { "epoch": 1.49, "learning_rate": 0.0, "loss": 0.0534, "step": 10050 }, { "epoch": 1.5, "learning_rate": 0.0, "loss": 0.1002, "step": 10080 }, { "epoch": 1.5, "learning_rate": 0.0, "loss": 0.0845, "step": 10110 }, { "epoch": 1.51, "learning_rate": 0.0, "loss": 0.036, "step": 10140 }, { "epoch": 1.51, "learning_rate": 0.0, "loss": 0.0868, "step": 10170 }, { "epoch": 1.51, "learning_rate": 0.0, "loss": 0.0301, "step": 10200 }, { "epoch": 1.52, "learning_rate": 0.0, "loss": 0.0892, "step": 10230 }, { "epoch": 1.52, "learning_rate": 0.0, "loss": 0.0238, "step": 10260 }, { "epoch": 1.53, "learning_rate": 0.0, "loss": 0.0668, "step": 10290 }, { "epoch": 1.53, "learning_rate": 0.0, "loss": 0.0685, "step": 10320 }, { "epoch": 1.54, "learning_rate": 0.0, "loss": 0.105, "step": 10350 }, { "epoch": 1.54, "learning_rate": 0.0, "loss": 0.0894, "step": 10380 }, { "epoch": 1.55, "learning_rate": 0.0, "loss": 0.0677, "step": 10410 }, { "epoch": 1.55, "learning_rate": 0.0, "loss": 0.1072, "step": 10440 }, { "epoch": 1.55, "learning_rate": 0.0, "loss": 0.1049, "step": 10470 }, { "epoch": 1.56, "learning_rate": 0.0, "loss": 0.1096, "step": 10500 }, { "epoch": 1.56, "learning_rate": 0.0, "loss": 0.0354, "step": 10530 }, { "epoch": 1.57, "learning_rate": 0.0, "loss": 0.0925, "step": 10560 }, { "epoch": 1.57, "learning_rate": 0.0, "loss": 0.1121, "step": 10590 }, { "epoch": 1.58, "learning_rate": 0.0, "loss": 0.0955, "step": 10620 }, { "epoch": 1.58, "learning_rate": 0.0, "loss": 0.0523, "step": 10650 }, { "epoch": 1.59, "learning_rate": 0.0, "loss": 0.0239, "step": 10680 }, { "epoch": 1.59, "learning_rate": 0.0, "loss": 0.063, "step": 10710 }, { "epoch": 1.59, "learning_rate": 0.0, "loss": 0.0928, "step": 10740 }, { "epoch": 1.6, "learning_rate": 0.0, "loss": 0.0736, "step": 10770 }, { "epoch": 1.6, "learning_rate": 0.0, "loss": 0.2001, "step": 10800 }, { "epoch": 1.61, "learning_rate": 0.0, "loss": 0.0887, "step": 10830 }, { "epoch": 1.61, "learning_rate": 0.0, "loss": 0.0584, "step": 10860 }, { "epoch": 1.62, "learning_rate": 0.0, "loss": 0.0825, "step": 10890 }, { "epoch": 1.62, "learning_rate": 0.0, "loss": 0.1035, "step": 10920 }, { "epoch": 1.63, "learning_rate": 0.0, "loss": 0.0991, "step": 10950 }, { "epoch": 1.63, "learning_rate": 0.0, "loss": 0.0133, "step": 10980 }, { "epoch": 1.63, "learning_rate": 0.0, "loss": 0.0265, "step": 11010 }, { "epoch": 1.64, "learning_rate": 0.0, "loss": 0.1334, "step": 11040 }, { "epoch": 1.64, "learning_rate": 0.0, "loss": 0.0862, "step": 11070 }, { "epoch": 1.65, "learning_rate": 0.0, "loss": 0.0174, "step": 11100 }, { "epoch": 1.65, "learning_rate": 0.0, "loss": 0.1254, "step": 11130 }, { "epoch": 1.66, "learning_rate": 0.0, "loss": 0.1378, "step": 11160 }, { "epoch": 1.66, "learning_rate": 0.0, "loss": 0.139, "step": 11190 }, { "epoch": 1.67, "learning_rate": 0.0, "loss": 0.0925, "step": 11220 }, { "epoch": 1.67, "learning_rate": 0.0, "loss": 0.0658, "step": 11250 }, { "epoch": 1.67, "learning_rate": 0.0, "loss": 0.0758, "step": 11280 }, { "epoch": 1.68, "learning_rate": 0.0, "loss": 0.0505, "step": 11310 }, { "epoch": 1.68, "learning_rate": 0.0, "loss": 0.0726, "step": 11340 }, { "epoch": 1.69, "learning_rate": 0.0, "loss": 0.0742, "step": 11370 }, { "epoch": 1.69, "learning_rate": 0.0, "loss": 0.0372, "step": 11400 }, { "epoch": 1.7, "learning_rate": 0.0, "loss": 0.0433, "step": 11430 }, { "epoch": 1.7, "learning_rate": 0.0, "loss": 0.1069, "step": 11460 }, { "epoch": 1.71, "learning_rate": 0.0, "loss": 0.0277, "step": 11490 }, { "epoch": 1.71, "learning_rate": 0.0, "loss": 0.1009, "step": 11520 }, { "epoch": 1.71, "learning_rate": 0.0, "loss": 0.0821, "step": 11550 }, { "epoch": 1.72, "learning_rate": 0.0, "loss": 0.1083, "step": 11580 }, { "epoch": 1.72, "learning_rate": 0.0, "loss": 0.1303, "step": 11610 }, { "epoch": 1.73, "learning_rate": 0.0, "loss": 0.0565, "step": 11640 }, { "epoch": 1.73, "learning_rate": 0.0, "loss": 0.0538, "step": 11670 }, { "epoch": 1.74, "learning_rate": 0.0, "loss": 0.0528, "step": 11700 }, { "epoch": 1.74, "learning_rate": 0.0, "loss": 0.0487, "step": 11730 }, { "epoch": 1.75, "learning_rate": 0.0, "loss": 0.0321, "step": 11760 }, { "epoch": 1.75, "learning_rate": 0.0, "loss": 0.0619, "step": 11790 }, { "epoch": 1.76, "learning_rate": 0.0, "loss": 0.0711, "step": 11820 }, { "epoch": 1.76, "learning_rate": 0.0, "loss": 0.0628, "step": 11850 }, { "epoch": 1.76, "learning_rate": 0.0, "loss": 0.1428, "step": 11880 }, { "epoch": 1.77, "learning_rate": 0.0, "loss": 0.0667, "step": 11910 }, { "epoch": 1.77, "learning_rate": 0.0, "loss": 0.0933, "step": 11940 }, { "epoch": 1.78, "learning_rate": 0.0, "loss": 0.056, "step": 11970 }, { "epoch": 1.78, "learning_rate": 0.0, "loss": 0.0856, "step": 12000 }, { "epoch": 1.79, "learning_rate": 0.0, "loss": 0.0835, "step": 12030 }, { "epoch": 1.79, "learning_rate": 0.0, "loss": 0.0477, "step": 12060 }, { "epoch": 1.8, "learning_rate": 0.0, "loss": 0.0868, "step": 12090 }, { "epoch": 1.8, "learning_rate": 0.0, "loss": 0.0758, "step": 12120 }, { "epoch": 1.8, "learning_rate": 0.0, "loss": 0.0988, "step": 12150 }, { "epoch": 1.81, "learning_rate": 0.0, "loss": 0.1119, "step": 12180 }, { "epoch": 1.81, "learning_rate": 0.0, "loss": 0.0566, "step": 12210 }, { "epoch": 1.82, "learning_rate": 0.0, "loss": 0.0748, "step": 12240 }, { "epoch": 1.82, "learning_rate": 0.0, "loss": 0.0542, "step": 12270 }, { "epoch": 1.83, "learning_rate": 0.0, "loss": 0.0415, "step": 12300 }, { "epoch": 1.83, "learning_rate": 0.0, "loss": 0.0656, "step": 12330 }, { "epoch": 1.84, "learning_rate": 0.0, "loss": 0.1149, "step": 12360 }, { "epoch": 1.84, "learning_rate": 0.0, "loss": 0.0645, "step": 12390 }, { "epoch": 1.84, "learning_rate": 0.0, "loss": 0.0256, "step": 12420 }, { "epoch": 1.85, "learning_rate": 0.0, "loss": 0.1142, "step": 12450 }, { "epoch": 1.85, "learning_rate": 0.0, "loss": 0.0809, "step": 12480 }, { "epoch": 1.86, "learning_rate": 0.0, "loss": 0.0714, "step": 12510 }, { "epoch": 1.86, "learning_rate": 0.0, "loss": 0.0981, "step": 12540 }, { "epoch": 1.87, "learning_rate": 0.0, "loss": 0.0218, "step": 12570 }, { "epoch": 1.87, "learning_rate": 0.0, "loss": 0.0723, "step": 12600 }, { "epoch": 1.88, "learning_rate": 0.0, "loss": 0.0674, "step": 12630 }, { "epoch": 1.88, "learning_rate": 0.0, "loss": 0.1054, "step": 12660 }, { "epoch": 1.88, "learning_rate": 0.0, "loss": 0.0889, "step": 12690 }, { "epoch": 1.89, "learning_rate": 0.0, "loss": 0.1059, "step": 12720 }, { "epoch": 1.89, "learning_rate": 0.0, "loss": 0.0404, "step": 12750 }, { "epoch": 1.9, "learning_rate": 0.0, "loss": 0.1321, "step": 12780 }, { "epoch": 1.9, "learning_rate": 0.0, "loss": 0.1299, "step": 12810 }, { "epoch": 1.91, "learning_rate": 0.0, "loss": 0.0885, "step": 12840 }, { "epoch": 1.91, "learning_rate": 0.0, "loss": 0.1057, "step": 12870 }, { "epoch": 1.92, "learning_rate": 0.0, "loss": 0.0654, "step": 12900 }, { "epoch": 1.92, "learning_rate": 0.0, "loss": 0.0655, "step": 12930 }, { "epoch": 1.92, "learning_rate": 0.0, "loss": 0.0922, "step": 12960 }, { "epoch": 1.93, "learning_rate": 0.0, "loss": 0.1027, "step": 12990 }, { "epoch": 1.93, "learning_rate": 0.0, "loss": 0.0931, "step": 13020 }, { "epoch": 1.94, "learning_rate": 0.0, "loss": 0.0727, "step": 13050 }, { "epoch": 1.94, "learning_rate": 0.0, "loss": 0.1069, "step": 13080 }, { "epoch": 1.95, "learning_rate": 0.0, "loss": 0.056, "step": 13110 }, { "epoch": 1.95, "learning_rate": 0.0, "loss": 0.0419, "step": 13140 }, { "epoch": 1.96, "learning_rate": 0.0, "loss": 0.0814, "step": 13170 }, { "epoch": 1.96, "learning_rate": 0.0, "loss": 0.1313, "step": 13200 }, { "epoch": 1.96, "learning_rate": 0.0, "loss": 0.0811, "step": 13230 }, { "epoch": 1.97, "learning_rate": 0.0, "loss": 0.061, "step": 13260 }, { "epoch": 1.97, "learning_rate": 0.0, "loss": 0.0655, "step": 13290 }, { "epoch": 1.98, "learning_rate": 0.0, "loss": 0.0502, "step": 13320 }, { "epoch": 1.98, "learning_rate": 0.0, "loss": 0.0462, "step": 13350 }, { "epoch": 1.99, "learning_rate": 0.0, "loss": 0.0606, "step": 13380 }, { "epoch": 1.99, "learning_rate": 0.0, "loss": 0.1204, "step": 13410 }, { "epoch": 2.0, "learning_rate": 0.0, "loss": 0.0297, "step": 13440 }, { "epoch": 2.0, "learning_rate": 0.0, "loss": 0.028, "step": 13470 }, { "epoch": 2.0, "eval_accuracy": 0.9415137614678899, "eval_loss": 0.3246009051799774, "eval_runtime": 4.8202, "eval_samples_per_second": 180.906, "eval_steps_per_second": 18.257, "step": 13470 }, { "epoch": 2.0, "learning_rate": 0.0, "loss": 0.069, "step": 13500 }, { "epoch": 2.01, "learning_rate": 0.0, "loss": 0.0574, "step": 13530 }, { "epoch": 2.01, "learning_rate": 0.0, "loss": 0.0796, "step": 13560 }, { "epoch": 2.02, "learning_rate": 0.0, "loss": 0.0571, "step": 13590 }, { "epoch": 2.02, "learning_rate": 0.0, "loss": 0.0195, "step": 13620 }, { "epoch": 2.03, "learning_rate": 0.0, "loss": 0.1019, "step": 13650 }, { "epoch": 2.03, "learning_rate": 0.0, "loss": 0.0316, "step": 13680 }, { "epoch": 2.04, "learning_rate": 0.0, "loss": 0.0702, "step": 13710 }, { "epoch": 2.04, "learning_rate": 0.0, "loss": 0.1436, "step": 13740 }, { "epoch": 2.04, "learning_rate": 0.0, "loss": 0.0393, "step": 13770 }, { "epoch": 2.05, "learning_rate": 0.0, "loss": 0.09, "step": 13800 }, { "epoch": 2.05, "learning_rate": 0.0, "loss": 0.09, "step": 13830 }, { "epoch": 2.06, "learning_rate": 0.0, "loss": 0.1039, "step": 13860 }, { "epoch": 2.06, "learning_rate": 0.0, "loss": 0.1176, "step": 13890 }, { "epoch": 2.07, "learning_rate": 0.0, "loss": 0.0881, "step": 13920 }, { "epoch": 2.07, "learning_rate": 0.0, "loss": 0.1156, "step": 13950 }, { "epoch": 2.08, "learning_rate": 0.0, "loss": 0.0962, "step": 13980 }, { "epoch": 2.08, "learning_rate": 0.0, "loss": 0.093, "step": 14010 }, { "epoch": 2.08, "learning_rate": 0.0, "loss": 0.0674, "step": 14040 }, { "epoch": 2.09, "learning_rate": 0.0, "loss": 0.0798, "step": 14070 }, { "epoch": 2.09, "learning_rate": 0.0, "loss": 0.1274, "step": 14100 }, { "epoch": 2.1, "learning_rate": 0.0, "loss": 0.1226, "step": 14130 }, { "epoch": 2.1, "learning_rate": 0.0, "loss": 0.0788, "step": 14160 }, { "epoch": 2.11, "learning_rate": 0.0, "loss": 0.0314, "step": 14190 }, { "epoch": 2.11, "learning_rate": 0.0, "loss": 0.0951, "step": 14220 }, { "epoch": 2.12, "learning_rate": 0.0, "loss": 0.092, "step": 14250 }, { "epoch": 2.12, "learning_rate": 0.0, "loss": 0.1238, "step": 14280 }, { "epoch": 2.12, "learning_rate": 0.0, "loss": 0.06, "step": 14310 }, { "epoch": 2.13, "learning_rate": 0.0, "loss": 0.0595, "step": 14340 }, { "epoch": 2.13, "learning_rate": 0.0, "loss": 0.051, "step": 14370 }, { "epoch": 2.14, "learning_rate": 0.0, "loss": 0.0562, "step": 14400 }, { "epoch": 2.14, "learning_rate": 0.0, "loss": 0.0948, "step": 14430 }, { "epoch": 2.15, "learning_rate": 0.0, "loss": 0.0457, "step": 14460 }, { "epoch": 2.15, "learning_rate": 0.0, "loss": 0.0594, "step": 14490 }, { "epoch": 2.16, "learning_rate": 0.0, "loss": 0.0879, "step": 14520 }, { "epoch": 2.16, "learning_rate": 0.0, "loss": 0.0445, "step": 14550 }, { "epoch": 2.16, "learning_rate": 0.0, "loss": 0.0621, "step": 14580 }, { "epoch": 2.17, "learning_rate": 0.0, "loss": 0.0631, "step": 14610 }, { "epoch": 2.17, "learning_rate": 0.0, "loss": 0.0739, "step": 14640 }, { "epoch": 2.18, "learning_rate": 0.0, "loss": 0.0539, "step": 14670 }, { "epoch": 2.18, "learning_rate": 0.0, "loss": 0.0485, "step": 14700 }, { "epoch": 2.19, "learning_rate": 0.0, "loss": 0.0397, "step": 14730 }, { "epoch": 2.19, "learning_rate": 0.0, "loss": 0.0976, "step": 14760 }, { "epoch": 2.2, "learning_rate": 0.0, "loss": 0.0599, "step": 14790 }, { "epoch": 2.2, "learning_rate": 0.0, "loss": 0.0784, "step": 14820 }, { "epoch": 2.2, "learning_rate": 0.0, "loss": 0.045, "step": 14850 }, { "epoch": 2.21, "learning_rate": 0.0, "loss": 0.0451, "step": 14880 }, { "epoch": 2.21, "learning_rate": 0.0, "loss": 0.0915, "step": 14910 }, { "epoch": 2.22, "learning_rate": 0.0, "loss": 0.1122, "step": 14940 }, { "epoch": 2.22, "learning_rate": 0.0, "loss": 0.1391, "step": 14970 }, { "epoch": 2.23, "learning_rate": 0.0, "loss": 0.0815, "step": 15000 }, { "epoch": 2.23, "learning_rate": 0.0, "loss": 0.0131, "step": 15030 }, { "epoch": 2.24, "learning_rate": 0.0, "loss": 0.1057, "step": 15060 }, { "epoch": 2.24, "learning_rate": 0.0, "loss": 0.0904, "step": 15090 }, { "epoch": 2.24, "learning_rate": 0.0, "loss": 0.0438, "step": 15120 }, { "epoch": 2.25, "learning_rate": 0.0, "loss": 0.068, "step": 15150 }, { "epoch": 2.25, "learning_rate": 0.0, "loss": 0.0743, "step": 15180 }, { "epoch": 2.26, "learning_rate": 0.0, "loss": 0.1089, "step": 15210 }, { "epoch": 2.26, "learning_rate": 0.0, "loss": 0.0952, "step": 15240 }, { "epoch": 2.27, "learning_rate": 0.0, "loss": 0.128, "step": 15270 }, { "epoch": 2.27, "learning_rate": 0.0, "loss": 0.0373, "step": 15300 }, { "epoch": 2.28, "learning_rate": 0.0, "loss": 0.0527, "step": 15330 }, { "epoch": 2.28, "learning_rate": 0.0, "loss": 0.1093, "step": 15360 }, { "epoch": 2.29, "learning_rate": 0.0, "loss": 0.1115, "step": 15390 }, { "epoch": 2.29, "learning_rate": 0.0, "loss": 0.0385, "step": 15420 }, { "epoch": 2.29, "learning_rate": 0.0, "loss": 0.0309, "step": 15450 }, { "epoch": 2.3, "learning_rate": 0.0, "loss": 0.0509, "step": 15480 }, { "epoch": 2.3, "learning_rate": 0.0, "loss": 0.0783, "step": 15510 }, { "epoch": 2.31, "learning_rate": 0.0, "loss": 0.0658, "step": 15540 }, { "epoch": 2.31, "learning_rate": 0.0, "loss": 0.1936, "step": 15570 }, { "epoch": 2.32, "learning_rate": 0.0, "loss": 0.1358, "step": 15600 }, { "epoch": 2.32, "learning_rate": 0.0, "loss": 0.0406, "step": 15630 }, { "epoch": 2.33, "learning_rate": 0.0, "loss": 0.0971, "step": 15660 }, { "epoch": 2.33, "learning_rate": 0.0, "loss": 0.0731, "step": 15690 }, { "epoch": 2.33, "learning_rate": 0.0, "loss": 0.1039, "step": 15720 }, { "epoch": 2.34, "learning_rate": 0.0, "loss": 0.0713, "step": 15750 }, { "epoch": 2.34, "learning_rate": 0.0, "loss": 0.0398, "step": 15780 }, { "epoch": 2.35, "learning_rate": 0.0, "loss": 0.1228, "step": 15810 }, { "epoch": 2.35, "learning_rate": 0.0, "loss": 0.0909, "step": 15840 }, { "epoch": 2.36, "learning_rate": 0.0, "loss": 0.1098, "step": 15870 }, { "epoch": 2.36, "learning_rate": 0.0, "loss": 0.0583, "step": 15900 }, { "epoch": 2.37, "learning_rate": 0.0, "loss": 0.0608, "step": 15930 }, { "epoch": 2.37, "learning_rate": 0.0, "loss": 0.0909, "step": 15960 }, { "epoch": 2.37, "learning_rate": 0.0, "loss": 0.0613, "step": 15990 }, { "epoch": 2.38, "learning_rate": 0.0, "loss": 0.085, "step": 16020 }, { "epoch": 2.38, "learning_rate": 0.0, "loss": 0.0932, "step": 16050 }, { "epoch": 2.39, "learning_rate": 0.0, "loss": 0.1021, "step": 16080 }, { "epoch": 2.39, "learning_rate": 0.0, "loss": 0.0812, "step": 16110 }, { "epoch": 2.4, "learning_rate": 0.0, "loss": 0.1108, "step": 16140 }, { "epoch": 2.4, "learning_rate": 0.0, "loss": 0.0282, "step": 16170 }, { "epoch": 2.41, "learning_rate": 0.0, "loss": 0.0333, "step": 16200 }, { "epoch": 2.41, "learning_rate": 0.0, "loss": 0.0745, "step": 16230 }, { "epoch": 2.41, "learning_rate": 0.0, "loss": 0.0499, "step": 16260 }, { "epoch": 2.42, "learning_rate": 0.0, "loss": 0.1022, "step": 16290 }, { "epoch": 2.42, "learning_rate": 0.0, "loss": 0.1137, "step": 16320 }, { "epoch": 2.43, "learning_rate": 0.0, "loss": 0.0414, "step": 16350 }, { "epoch": 2.43, "learning_rate": 0.0, "loss": 0.0463, "step": 16380 }, { "epoch": 2.44, "learning_rate": 0.0, "loss": 0.0981, "step": 16410 }, { "epoch": 2.44, "learning_rate": 0.0, "loss": 0.0465, "step": 16440 }, { "epoch": 2.45, "learning_rate": 0.0, "loss": 0.0795, "step": 16470 }, { "epoch": 2.45, "learning_rate": 0.0, "loss": 0.0494, "step": 16500 }, { "epoch": 2.45, "learning_rate": 0.0, "loss": 0.0686, "step": 16530 }, { "epoch": 2.46, "learning_rate": 0.0, "loss": 0.0589, "step": 16560 }, { "epoch": 2.46, "learning_rate": 0.0, "loss": 0.0487, "step": 16590 }, { "epoch": 2.47, "learning_rate": 0.0, "loss": 0.0868, "step": 16620 }, { "epoch": 2.47, "learning_rate": 0.0, "loss": 0.0762, "step": 16650 }, { "epoch": 2.48, "learning_rate": 0.0, "loss": 0.0804, "step": 16680 }, { "epoch": 2.48, "learning_rate": 0.0, "loss": 0.0654, "step": 16710 }, { "epoch": 2.49, "learning_rate": 0.0, "loss": 0.1255, "step": 16740 }, { "epoch": 2.49, "learning_rate": 0.0, "loss": 0.0961, "step": 16770 }, { "epoch": 2.49, "learning_rate": 0.0, "loss": 0.1008, "step": 16800 }, { "epoch": 2.5, "learning_rate": 0.0, "loss": 0.0761, "step": 16830 }, { "epoch": 2.5, "learning_rate": 0.0, "loss": 0.0204, "step": 16860 }, { "epoch": 2.51, "learning_rate": 0.0, "loss": 0.0559, "step": 16890 }, { "epoch": 2.51, "learning_rate": 0.0, "loss": 0.0974, "step": 16920 }, { "epoch": 2.52, "learning_rate": 0.0, "loss": 0.0122, "step": 16950 }, { "epoch": 2.52, "learning_rate": 0.0, "loss": 0.097, "step": 16980 }, { "epoch": 2.53, "learning_rate": 0.0, "loss": 0.1055, "step": 17010 }, { "epoch": 2.53, "learning_rate": 0.0, "loss": 0.0582, "step": 17040 }, { "epoch": 2.53, "learning_rate": 0.0, "loss": 0.0884, "step": 17070 }, { "epoch": 2.54, "learning_rate": 0.0, "loss": 0.0634, "step": 17100 }, { "epoch": 2.54, "learning_rate": 0.0, "loss": 0.0527, "step": 17130 }, { "epoch": 2.55, "learning_rate": 0.0, "loss": 0.0653, "step": 17160 }, { "epoch": 2.55, "learning_rate": 0.0, "loss": 0.0989, "step": 17190 }, { "epoch": 2.56, "learning_rate": 0.0, "loss": 0.1646, "step": 17220 }, { "epoch": 2.56, "learning_rate": 0.0, "loss": 0.1076, "step": 17250 }, { "epoch": 2.57, "learning_rate": 0.0, "loss": 0.0211, "step": 17280 }, { "epoch": 2.57, "learning_rate": 0.0, "loss": 0.0626, "step": 17310 }, { "epoch": 2.57, "learning_rate": 0.0, "loss": 0.1055, "step": 17340 }, { "epoch": 2.58, "learning_rate": 0.0, "loss": 0.0293, "step": 17370 }, { "epoch": 2.58, "learning_rate": 0.0, "loss": 0.1164, "step": 17400 }, { "epoch": 2.59, "learning_rate": 0.0, "loss": 0.0381, "step": 17430 }, { "epoch": 2.59, "learning_rate": 0.0, "loss": 0.049, "step": 17460 }, { "epoch": 2.6, "learning_rate": 0.0, "loss": 0.0639, "step": 17490 }, { "epoch": 2.6, "learning_rate": 0.0, "loss": 0.039, "step": 17520 }, { "epoch": 2.61, "learning_rate": 0.0, "loss": 0.0959, "step": 17550 }, { "epoch": 2.61, "learning_rate": 0.0, "loss": 0.0909, "step": 17580 }, { "epoch": 2.61, "learning_rate": 0.0, "loss": 0.1018, "step": 17610 }, { "epoch": 2.62, "learning_rate": 0.0, "loss": 0.0695, "step": 17640 }, { "epoch": 2.62, "learning_rate": 0.0, "loss": 0.1116, "step": 17670 }, { "epoch": 2.63, "learning_rate": 0.0, "loss": 0.0418, "step": 17700 }, { "epoch": 2.63, "learning_rate": 0.0, "loss": 0.1098, "step": 17730 }, { "epoch": 2.64, "learning_rate": 0.0, "loss": 0.1354, "step": 17760 }, { "epoch": 2.64, "learning_rate": 0.0, "loss": 0.0651, "step": 17790 }, { "epoch": 2.65, "learning_rate": 0.0, "loss": 0.1013, "step": 17820 }, { "epoch": 2.65, "learning_rate": 0.0, "loss": 0.0742, "step": 17850 }, { "epoch": 2.65, "learning_rate": 0.0, "loss": 0.0631, "step": 17880 }, { "epoch": 2.66, "learning_rate": 0.0, "loss": 0.1206, "step": 17910 }, { "epoch": 2.66, "learning_rate": 0.0, "loss": 0.081, "step": 17940 }, { "epoch": 2.67, "learning_rate": 0.0, "loss": 0.0913, "step": 17970 }, { "epoch": 2.67, "learning_rate": 0.0, "loss": 0.0775, "step": 18000 }, { "epoch": 2.68, "learning_rate": 0.0, "loss": 0.0544, "step": 18030 }, { "epoch": 2.68, "learning_rate": 0.0, "loss": 0.0367, "step": 18060 }, { "epoch": 2.69, "learning_rate": 0.0, "loss": 0.0315, "step": 18090 }, { "epoch": 2.69, "learning_rate": 0.0, "loss": 0.0742, "step": 18120 }, { "epoch": 2.69, "learning_rate": 0.0, "loss": 0.0642, "step": 18150 }, { "epoch": 2.7, "learning_rate": 0.0, "loss": 0.0434, "step": 18180 }, { "epoch": 2.7, "learning_rate": 0.0, "loss": 0.0311, "step": 18210 }, { "epoch": 2.71, "learning_rate": 0.0, "loss": 0.112, "step": 18240 }, { "epoch": 2.71, "learning_rate": 0.0, "loss": 0.061, "step": 18270 }, { "epoch": 2.72, "learning_rate": 0.0, "loss": 0.0375, "step": 18300 }, { "epoch": 2.72, "learning_rate": 0.0, "loss": 0.0581, "step": 18330 }, { "epoch": 2.73, "learning_rate": 0.0, "loss": 0.0953, "step": 18360 }, { "epoch": 2.73, "learning_rate": 0.0, "loss": 0.0537, "step": 18390 }, { "epoch": 2.73, "learning_rate": 0.0, "loss": 0.0804, "step": 18420 }, { "epoch": 2.74, "learning_rate": 0.0, "loss": 0.0292, "step": 18450 }, { "epoch": 2.74, "learning_rate": 0.0, "loss": 0.048, "step": 18480 }, { "epoch": 2.75, "learning_rate": 0.0, "loss": 0.0932, "step": 18510 }, { "epoch": 2.75, "learning_rate": 0.0, "loss": 0.0801, "step": 18540 }, { "epoch": 2.76, "learning_rate": 0.0, "loss": 0.0621, "step": 18570 }, { "epoch": 2.76, "learning_rate": 0.0, "loss": 0.1034, "step": 18600 }, { "epoch": 2.77, "learning_rate": 0.0, "loss": 0.1303, "step": 18630 }, { "epoch": 2.77, "learning_rate": 0.0, "loss": 0.049, "step": 18660 }, { "epoch": 2.78, "learning_rate": 0.0, "loss": 0.0765, "step": 18690 }, { "epoch": 2.78, "learning_rate": 0.0, "loss": 0.0733, "step": 18720 }, { "epoch": 2.78, "learning_rate": 0.0, "loss": 0.035, "step": 18750 }, { "epoch": 2.79, "learning_rate": 0.0, "loss": 0.0691, "step": 18780 }, { "epoch": 2.79, "learning_rate": 0.0, "loss": 0.0583, "step": 18810 }, { "epoch": 2.8, "learning_rate": 0.0, "loss": 0.1347, "step": 18840 }, { "epoch": 2.8, "learning_rate": 0.0, "loss": 0.0502, "step": 18870 }, { "epoch": 2.81, "learning_rate": 0.0, "loss": 0.0376, "step": 18900 }, { "epoch": 2.81, "learning_rate": 0.0, "loss": 0.0509, "step": 18930 }, { "epoch": 2.82, "learning_rate": 0.0, "loss": 0.0804, "step": 18960 }, { "epoch": 2.82, "learning_rate": 0.0, "loss": 0.0763, "step": 18990 }, { "epoch": 2.82, "learning_rate": 0.0, "loss": 0.0699, "step": 19020 }, { "epoch": 2.83, "learning_rate": 0.0, "loss": 0.1181, "step": 19050 }, { "epoch": 2.83, "learning_rate": 0.0, "loss": 0.0505, "step": 19080 }, { "epoch": 2.84, "learning_rate": 0.0, "loss": 0.0195, "step": 19110 }, { "epoch": 2.84, "learning_rate": 0.0, "loss": 0.0431, "step": 19140 }, { "epoch": 2.85, "learning_rate": 0.0, "loss": 0.0617, "step": 19170 }, { "epoch": 2.85, "learning_rate": 0.0, "loss": 0.0801, "step": 19200 }, { "epoch": 2.86, "learning_rate": 0.0, "loss": 0.0386, "step": 19230 }, { "epoch": 2.86, "learning_rate": 0.0, "loss": 0.066, "step": 19260 }, { "epoch": 2.86, "learning_rate": 0.0, "loss": 0.0259, "step": 19290 }, { "epoch": 2.87, "learning_rate": 0.0, "loss": 0.0507, "step": 19320 }, { "epoch": 2.87, "learning_rate": 0.0, "loss": 0.0988, "step": 19350 }, { "epoch": 2.88, "learning_rate": 0.0, "loss": 0.053, "step": 19380 }, { "epoch": 2.88, "learning_rate": 0.0, "loss": 0.0929, "step": 19410 }, { "epoch": 2.89, "learning_rate": 0.0, "loss": 0.1143, "step": 19440 }, { "epoch": 2.89, "learning_rate": 0.0, "loss": 0.0529, "step": 19470 }, { "epoch": 2.9, "learning_rate": 0.0, "loss": 0.049, "step": 19500 }, { "epoch": 2.9, "learning_rate": 0.0, "loss": 0.0842, "step": 19530 }, { "epoch": 2.9, "learning_rate": 0.0, "loss": 0.058, "step": 19560 }, { "epoch": 2.91, "learning_rate": 0.0, "loss": 0.0934, "step": 19590 }, { "epoch": 2.91, "learning_rate": 0.0, "loss": 0.0733, "step": 19620 }, { "epoch": 2.92, "learning_rate": 0.0, "loss": 0.1, "step": 19650 }, { "epoch": 2.92, "learning_rate": 0.0, "loss": 0.0434, "step": 19680 }, { "epoch": 2.93, "learning_rate": 0.0, "loss": 0.0871, "step": 19710 }, { "epoch": 2.93, "learning_rate": 0.0, "loss": 0.0417, "step": 19740 }, { "epoch": 2.94, "learning_rate": 0.0, "loss": 0.055, "step": 19770 }, { "epoch": 2.94, "learning_rate": 0.0, "loss": 0.1, "step": 19800 }, { "epoch": 2.94, "learning_rate": 0.0, "loss": 0.0745, "step": 19830 }, { "epoch": 2.95, "learning_rate": 0.0, "loss": 0.0903, "step": 19860 }, { "epoch": 2.95, "learning_rate": 0.0, "loss": 0.0968, "step": 19890 }, { "epoch": 2.96, "learning_rate": 0.0, "loss": 0.0321, "step": 19920 }, { "epoch": 2.96, "learning_rate": 0.0, "loss": 0.0696, "step": 19950 }, { "epoch": 2.97, "learning_rate": 0.0, "loss": 0.1039, "step": 19980 }, { "epoch": 2.97, "learning_rate": 0.0, "loss": 0.1003, "step": 20010 }, { "epoch": 2.98, "learning_rate": 0.0, "loss": 0.1039, "step": 20040 }, { "epoch": 2.98, "learning_rate": 0.0, "loss": 0.0965, "step": 20070 }, { "epoch": 2.98, "learning_rate": 0.0, "loss": 0.1773, "step": 20100 }, { "epoch": 2.99, "learning_rate": 0.0, "loss": 0.0727, "step": 20130 }, { "epoch": 2.99, "learning_rate": 0.0, "loss": 0.0601, "step": 20160 }, { "epoch": 3.0, "learning_rate": 0.0, "loss": 0.0545, "step": 20190 }, { "epoch": 3.0, "eval_accuracy": 0.9415137614678899, "eval_loss": 0.3246009051799774, "eval_runtime": 4.3961, "eval_samples_per_second": 198.357, "eval_steps_per_second": 20.018, "step": 20205 } ], "max_steps": 20205, "num_train_epochs": 3, "total_flos": 3913626734210772.0, "trial_name": null, "trial_params": null }