{ "best_metric": null, "best_model_checkpoint": null, "epoch": 60.0, "global_step": 18720, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 1.0, "eval_accuracy": 0.516245487364621, "eval_loss": 30.45633316040039, "eval_runtime": 7.0533, "eval_samples_per_second": 39.273, "eval_steps_per_second": 4.962, "step": 312 }, { "best_epoch": 0, "best_eval_accuracy": 0.516245487364621, "epoch": 1.0, "step": 312 }, { "epoch": 1.6, "learning_rate": 0.0009732905982905983, "loss": 31.8281, "step": 500 }, { "epoch": 2.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 28.268251419067383, "eval_runtime": 7.0517, "eval_samples_per_second": 39.281, "eval_steps_per_second": 4.963, "step": 624 }, { "best_epoch": 0, "best_eval_accuracy": 0.516245487364621, "epoch": 2.0, "step": 624 }, { "epoch": 3.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 22.482925415039062, "eval_runtime": 7.0537, "eval_samples_per_second": 39.27, "eval_steps_per_second": 4.962, "step": 936 }, { "best_epoch": 0, "best_eval_accuracy": 0.516245487364621, "epoch": 3.0, "step": 936 }, { "epoch": 3.21, "learning_rate": 0.0009465811965811966, "loss": 26.6026, "step": 1000 }, { "epoch": 4.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 17.250818252563477, "eval_runtime": 7.0937, "eval_samples_per_second": 39.049, "eval_steps_per_second": 4.934, "step": 1248 }, { "best_epoch": 0, "best_eval_accuracy": 0.516245487364621, "epoch": 4.0, "step": 1248 }, { "epoch": 4.81, "learning_rate": 0.0009198717948717949, "loss": 20.7188, "step": 1500 }, { "epoch": 5.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 15.695619583129883, "eval_runtime": 7.1074, "eval_samples_per_second": 38.974, "eval_steps_per_second": 4.924, "step": 1560 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 5.0, "step": 1560 }, { "epoch": 6.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 14.759888648986816, "eval_runtime": 6.9232, "eval_samples_per_second": 40.011, "eval_steps_per_second": 5.055, "step": 1872 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 6.0, "step": 1872 }, { "epoch": 6.41, "learning_rate": 0.0008931623931623932, "loss": 18.7808, "step": 2000 }, { "epoch": 7.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 14.433088302612305, "eval_runtime": 7.0834, "eval_samples_per_second": 39.106, "eval_steps_per_second": 4.941, "step": 2184 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 7.0, "step": 2184 }, { "epoch": 8.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 13.9365873336792, "eval_runtime": 7.0894, "eval_samples_per_second": 39.072, "eval_steps_per_second": 4.937, "step": 2496 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 8.0, "step": 2496 }, { "epoch": 8.01, "learning_rate": 0.0008664529914529915, "loss": 18.0838, "step": 2500 }, { "epoch": 9.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 13.634007453918457, "eval_runtime": 7.127, "eval_samples_per_second": 38.867, "eval_steps_per_second": 4.911, "step": 2808 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 9.0, "step": 2808 }, { "epoch": 9.62, "learning_rate": 0.0008397435897435898, "loss": 17.722, "step": 3000 }, { "epoch": 10.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 13.437921524047852, "eval_runtime": 7.1307, "eval_samples_per_second": 38.846, "eval_steps_per_second": 4.908, "step": 3120 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 10.0, "step": 3120 }, { "epoch": 11.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 13.439308166503906, "eval_runtime": 7.0992, "eval_samples_per_second": 39.019, "eval_steps_per_second": 4.93, "step": 3432 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 11.0, "step": 3432 }, { "epoch": 11.22, "learning_rate": 0.0008130341880341881, "loss": 17.4783, "step": 3500 }, { "epoch": 12.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 13.137593269348145, "eval_runtime": 7.1532, "eval_samples_per_second": 38.724, "eval_steps_per_second": 4.893, "step": 3744 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 12.0, "step": 3744 }, { "epoch": 12.82, "learning_rate": 0.0007863247863247863, "loss": 17.2699, "step": 4000 }, { "epoch": 13.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 12.95992374420166, "eval_runtime": 7.0409, "eval_samples_per_second": 39.341, "eval_steps_per_second": 4.971, "step": 4056 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 13.0, "step": 4056 }, { "epoch": 14.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 12.848048210144043, "eval_runtime": 7.0065, "eval_samples_per_second": 39.535, "eval_steps_per_second": 4.995, "step": 4368 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 14.0, "step": 4368 }, { "epoch": 14.42, "learning_rate": 0.0007596153846153846, "loss": 17.0966, "step": 4500 }, { "epoch": 15.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 12.781341552734375, "eval_runtime": 7.0694, "eval_samples_per_second": 39.183, "eval_steps_per_second": 4.951, "step": 4680 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 15.0, "step": 4680 }, { "epoch": 16.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 12.691984176635742, "eval_runtime": 7.0798, "eval_samples_per_second": 39.125, "eval_steps_per_second": 4.944, "step": 4992 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 16.0, "step": 4992 }, { "epoch": 16.03, "learning_rate": 0.0007329059829059829, "loss": 16.9613, "step": 5000 }, { "epoch": 17.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 12.569376945495605, "eval_runtime": 6.9647, "eval_samples_per_second": 39.772, "eval_steps_per_second": 5.025, "step": 5304 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 17.0, "step": 5304 }, { "epoch": 17.63, "learning_rate": 0.0007061965811965813, "loss": 16.848, "step": 5500 }, { "epoch": 18.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 12.51942253112793, "eval_runtime": 7.1195, "eval_samples_per_second": 38.907, "eval_steps_per_second": 4.916, "step": 5616 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 18.0, "step": 5616 }, { "epoch": 19.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 12.459056854248047, "eval_runtime": 7.0039, "eval_samples_per_second": 39.55, "eval_steps_per_second": 4.997, "step": 5928 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 19.0, "step": 5928 }, { "epoch": 19.23, "learning_rate": 0.0006794871794871796, "loss": 16.7661, "step": 6000 }, { "epoch": 20.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 12.382737159729004, "eval_runtime": 7.1366, "eval_samples_per_second": 38.814, "eval_steps_per_second": 4.904, "step": 6240 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 20.0, "step": 6240 }, { "epoch": 20.83, "learning_rate": 0.0006527777777777778, "loss": 16.6825, "step": 6500 }, { "epoch": 21.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 12.341012001037598, "eval_runtime": 6.9768, "eval_samples_per_second": 39.703, "eval_steps_per_second": 5.017, "step": 6552 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 21.0, "step": 6552 }, { "epoch": 22.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 12.324116706848145, "eval_runtime": 7.0623, "eval_samples_per_second": 39.223, "eval_steps_per_second": 4.956, "step": 6864 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 22.0, "step": 6864 }, { "epoch": 22.44, "learning_rate": 0.0006260683760683761, "loss": 16.5963, "step": 7000 }, { "epoch": 23.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 12.329614639282227, "eval_runtime": 6.9809, "eval_samples_per_second": 39.68, "eval_steps_per_second": 5.014, "step": 7176 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 23.0, "step": 7176 }, { "epoch": 24.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 12.261089324951172, "eval_runtime": 7.0903, "eval_samples_per_second": 39.067, "eval_steps_per_second": 4.936, "step": 7488 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 24.0, "step": 7488 }, { "epoch": 24.04, "learning_rate": 0.0005993589743589744, "loss": 16.5513, "step": 7500 }, { "epoch": 25.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 12.151515007019043, "eval_runtime": 7.0185, "eval_samples_per_second": 39.467, "eval_steps_per_second": 4.987, "step": 7800 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 25.0, "step": 7800 }, { "epoch": 25.64, "learning_rate": 0.0005726495726495727, "loss": 16.4926, "step": 8000 }, { "epoch": 26.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 12.119367599487305, "eval_runtime": 7.1667, "eval_samples_per_second": 38.651, "eval_steps_per_second": 4.884, "step": 8112 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 26.0, "step": 8112 }, { "epoch": 27.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 12.105155944824219, "eval_runtime": 6.9401, "eval_samples_per_second": 39.913, "eval_steps_per_second": 5.043, "step": 8424 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 27.0, "step": 8424 }, { "epoch": 27.24, "learning_rate": 0.000545940170940171, "loss": 16.4398, "step": 8500 }, { "epoch": 28.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 12.051624298095703, "eval_runtime": 7.0895, "eval_samples_per_second": 39.072, "eval_steps_per_second": 4.937, "step": 8736 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 28.0, "step": 8736 }, { "epoch": 28.85, "learning_rate": 0.0005192307692307693, "loss": 16.399, "step": 9000 }, { "epoch": 29.0, "eval_accuracy": 0.49458483754512633, "eval_loss": 12.021004676818848, "eval_runtime": 7.1719, "eval_samples_per_second": 38.623, "eval_steps_per_second": 4.88, "step": 9048 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 29.0, "step": 9048 }, { "epoch": 30.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 12.005374908447266, "eval_runtime": 7.026, "eval_samples_per_second": 39.425, "eval_steps_per_second": 4.981, "step": 9360 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 30.0, "step": 9360 }, { "epoch": 30.45, "learning_rate": 0.0004925213675213676, "loss": 16.3657, "step": 9500 }, { "epoch": 31.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 11.996041297912598, "eval_runtime": 7.1337, "eval_samples_per_second": 38.83, "eval_steps_per_second": 4.906, "step": 9672 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 31.0, "step": 9672 }, { "epoch": 32.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 11.954824447631836, "eval_runtime": 7.0913, "eval_samples_per_second": 39.062, "eval_steps_per_second": 4.936, "step": 9984 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 32.0, "step": 9984 }, { "epoch": 32.05, "learning_rate": 0.00046581196581196583, "loss": 16.3306, "step": 10000 }, { "epoch": 33.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 11.933246612548828, "eval_runtime": 7.0339, "eval_samples_per_second": 39.381, "eval_steps_per_second": 4.976, "step": 10296 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 33.0, "step": 10296 }, { "epoch": 33.65, "learning_rate": 0.0004391025641025641, "loss": 16.294, "step": 10500 }, { "epoch": 34.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 11.914789199829102, "eval_runtime": 7.1276, "eval_samples_per_second": 38.863, "eval_steps_per_second": 4.91, "step": 10608 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 34.0, "step": 10608 }, { "epoch": 35.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 11.92249870300293, "eval_runtime": 7.0158, "eval_samples_per_second": 39.482, "eval_steps_per_second": 4.989, "step": 10920 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 35.0, "step": 10920 }, { "epoch": 35.26, "learning_rate": 0.0004123931623931624, "loss": 16.2657, "step": 11000 }, { "epoch": 36.0, "eval_accuracy": 0.47653429602888087, "eval_loss": 11.87264633178711, "eval_runtime": 7.0946, "eval_samples_per_second": 39.044, "eval_steps_per_second": 4.933, "step": 11232 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 36.0, "step": 11232 }, { "epoch": 36.86, "learning_rate": 0.0003856837606837607, "loss": 16.2465, "step": 11500 }, { "epoch": 37.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 11.845185279846191, "eval_runtime": 3.3622, "eval_samples_per_second": 82.387, "eval_steps_per_second": 10.41, "step": 11544 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 37.0, "step": 11544 }, { "epoch": 38.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 11.834094047546387, "eval_runtime": 3.3675, "eval_samples_per_second": 82.257, "eval_steps_per_second": 10.394, "step": 11856 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 38.0, "step": 11856 }, { "epoch": 38.46, "learning_rate": 0.000358974358974359, "loss": 16.208, "step": 12000 }, { "epoch": 39.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 11.823224067687988, "eval_runtime": 3.3616, "eval_samples_per_second": 82.4, "eval_steps_per_second": 10.412, "step": 12168 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 39.0, "step": 12168 }, { "epoch": 40.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 11.797883033752441, "eval_runtime": 3.372, "eval_samples_per_second": 82.146, "eval_steps_per_second": 10.379, "step": 12480 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 40.0, "step": 12480 }, { "epoch": 40.06, "learning_rate": 0.00033226495726495727, "loss": 16.191, "step": 12500 }, { "epoch": 41.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 11.789505004882812, "eval_runtime": 3.3805, "eval_samples_per_second": 81.94, "eval_steps_per_second": 10.353, "step": 12792 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 41.0, "step": 12792 }, { "epoch": 41.67, "learning_rate": 0.0003055555555555556, "loss": 16.1729, "step": 13000 }, { "epoch": 42.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 11.839137077331543, "eval_runtime": 3.3622, "eval_samples_per_second": 82.387, "eval_steps_per_second": 10.41, "step": 13104 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 42.0, "step": 13104 }, { "epoch": 43.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 11.761892318725586, "eval_runtime": 3.3566, "eval_samples_per_second": 82.525, "eval_steps_per_second": 10.427, "step": 13416 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 43.0, "step": 13416 }, { "epoch": 43.27, "learning_rate": 0.0002788461538461539, "loss": 16.1571, "step": 13500 }, { "epoch": 44.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 11.750166893005371, "eval_runtime": 3.3501, "eval_samples_per_second": 82.684, "eval_steps_per_second": 10.447, "step": 13728 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 44.0, "step": 13728 }, { "epoch": 44.87, "learning_rate": 0.00025213675213675216, "loss": 16.1268, "step": 14000 }, { "epoch": 45.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 11.751955032348633, "eval_runtime": 3.3666, "eval_samples_per_second": 82.278, "eval_steps_per_second": 10.396, "step": 14040 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 45.0, "step": 14040 }, { "epoch": 46.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 11.75387954711914, "eval_runtime": 3.3569, "eval_samples_per_second": 82.516, "eval_steps_per_second": 10.426, "step": 14352 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 46.0, "step": 14352 }, { "epoch": 46.47, "learning_rate": 0.00022542735042735044, "loss": 16.1194, "step": 14500 }, { "epoch": 47.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 11.754090309143066, "eval_runtime": 3.359, "eval_samples_per_second": 82.465, "eval_steps_per_second": 10.42, "step": 14664 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 47.0, "step": 14664 }, { "epoch": 48.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 11.712992668151855, "eval_runtime": 3.3491, "eval_samples_per_second": 82.708, "eval_steps_per_second": 10.451, "step": 14976 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 48.0, "step": 14976 }, { "epoch": 48.08, "learning_rate": 0.0001987179487179487, "loss": 16.11, "step": 15000 }, { "epoch": 49.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 11.701953887939453, "eval_runtime": 3.3622, "eval_samples_per_second": 82.386, "eval_steps_per_second": 10.41, "step": 15288 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 49.0, "step": 15288 }, { "epoch": 49.68, "learning_rate": 0.00017200854700854702, "loss": 16.0989, "step": 15500 }, { "epoch": 50.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 11.694924354553223, "eval_runtime": 3.3584, "eval_samples_per_second": 82.481, "eval_steps_per_second": 10.422, "step": 15600 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 50.0, "step": 15600 }, { "epoch": 51.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 11.702590942382812, "eval_runtime": 3.3669, "eval_samples_per_second": 82.272, "eval_steps_per_second": 10.395, "step": 15912 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 51.0, "step": 15912 }, { "epoch": 51.28, "learning_rate": 0.00014529914529914532, "loss": 16.0802, "step": 16000 }, { "epoch": 52.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 11.70562744140625, "eval_runtime": 3.3506, "eval_samples_per_second": 82.672, "eval_steps_per_second": 10.446, "step": 16224 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 52.0, "step": 16224 }, { "epoch": 52.88, "learning_rate": 0.00011858974358974358, "loss": 16.0765, "step": 16500 }, { "epoch": 53.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 11.679302215576172, "eval_runtime": 3.3699, "eval_samples_per_second": 82.199, "eval_steps_per_second": 10.386, "step": 16536 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 53.0, "step": 16536 }, { "epoch": 54.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 11.675891876220703, "eval_runtime": 3.3612, "eval_samples_per_second": 82.41, "eval_steps_per_second": 10.413, "step": 16848 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 54.0, "step": 16848 }, { "epoch": 54.49, "learning_rate": 9.188034188034189e-05, "loss": 16.0629, "step": 17000 }, { "epoch": 55.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 11.671220779418945, "eval_runtime": 3.359, "eval_samples_per_second": 82.464, "eval_steps_per_second": 10.42, "step": 17160 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 55.0, "step": 17160 }, { "epoch": 56.0, "eval_accuracy": 0.49458483754512633, "eval_loss": 11.665974617004395, "eval_runtime": 3.3679, "eval_samples_per_second": 82.247, "eval_steps_per_second": 10.392, "step": 17472 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 56.0, "step": 17472 }, { "epoch": 56.09, "learning_rate": 6.517094017094018e-05, "loss": 16.0619, "step": 17500 }, { "epoch": 57.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 11.666152000427246, "eval_runtime": 3.3732, "eval_samples_per_second": 82.117, "eval_steps_per_second": 10.376, "step": 17784 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 57.0, "step": 17784 }, { "epoch": 57.69, "learning_rate": 3.846153846153846e-05, "loss": 16.0566, "step": 18000 }, { "epoch": 58.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 11.664301872253418, "eval_runtime": 3.3723, "eval_samples_per_second": 82.14, "eval_steps_per_second": 10.379, "step": 18096 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 58.0, "step": 18096 }, { "epoch": 59.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 11.661619186401367, "eval_runtime": 3.3491, "eval_samples_per_second": 82.709, "eval_steps_per_second": 10.451, "step": 18408 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 59.0, "step": 18408 }, { "epoch": 59.29, "learning_rate": 1.1752136752136752e-05, "loss": 16.0547, "step": 18500 }, { "epoch": 60.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 11.661417961120605, "eval_runtime": 3.3494, "eval_samples_per_second": 82.702, "eval_steps_per_second": 10.45, "step": 18720 }, { "best_epoch": 4, "best_eval_accuracy": 0.5270758122743683, "epoch": 60.0, "step": 18720 }, { "epoch": 60.0, "step": 18720, "total_flos": 6.96152728406016e+16, "train_loss": 17.346778074085204, "train_runtime": 5173.7493, "train_samples_per_second": 28.877, "train_steps_per_second": 3.618 } ], "max_steps": 18720, "num_train_epochs": 60, "total_flos": 6.96152728406016e+16, "trial_name": null, "trial_params": null }