{ "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": 0.5270758122743683, "eval_loss": 27.07662582397461, "eval_runtime": 3.2794, "eval_samples_per_second": 84.466, "eval_steps_per_second": 10.673, "step": 312 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 1.0, "step": 312 }, { "epoch": 1.6, "learning_rate": 0.009732905982905982, "loss": 29.447, "step": 500 }, { "epoch": 2.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 24.088668823242188, "eval_runtime": 3.2857, "eval_samples_per_second": 84.304, "eval_steps_per_second": 10.652, "step": 624 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 2.0, "step": 624 }, { "epoch": 3.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 23.964040756225586, "eval_runtime": 3.2866, "eval_samples_per_second": 84.282, "eval_steps_per_second": 10.649, "step": 936 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 3.0, "step": 936 }, { "epoch": 3.21, "learning_rate": 0.009465811965811966, "loss": 27.7172, "step": 1000 }, { "epoch": 4.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 22.026033401489258, "eval_runtime": 3.2885, "eval_samples_per_second": 84.232, "eval_steps_per_second": 10.643, "step": 1248 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 4.0, "step": 1248 }, { "epoch": 4.81, "learning_rate": 0.009198717948717948, "loss": 26.4345, "step": 1500 }, { "epoch": 5.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 22.050241470336914, "eval_runtime": 3.2777, "eval_samples_per_second": 84.511, "eval_steps_per_second": 10.678, "step": 1560 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 5.0, "step": 1560 }, { "epoch": 6.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 22.933731079101562, "eval_runtime": 3.2673, "eval_samples_per_second": 84.78, "eval_steps_per_second": 10.712, "step": 1872 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 6.0, "step": 1872 }, { "epoch": 6.41, "learning_rate": 0.008931623931623932, "loss": 27.0832, "step": 2000 }, { "epoch": 7.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 21.285945892333984, "eval_runtime": 3.2711, "eval_samples_per_second": 84.68, "eval_steps_per_second": 10.7, "step": 2184 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 7.0, "step": 2184 }, { "epoch": 8.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 21.470870971679688, "eval_runtime": 3.2744, "eval_samples_per_second": 84.596, "eval_steps_per_second": 10.689, "step": 2496 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 8.0, "step": 2496 }, { "epoch": 8.01, "learning_rate": 0.008664529914529914, "loss": 25.6523, "step": 2500 }, { "epoch": 9.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 20.353946685791016, "eval_runtime": 3.2711, "eval_samples_per_second": 84.68, "eval_steps_per_second": 10.7, "step": 2808 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 9.0, "step": 2808 }, { "epoch": 9.62, "learning_rate": 0.008397435897435898, "loss": 25.5288, "step": 3000 }, { "epoch": 10.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 21.298246383666992, "eval_runtime": 3.2754, "eval_samples_per_second": 84.569, "eval_steps_per_second": 10.686, "step": 3120 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 10.0, "step": 3120 }, { "epoch": 11.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 22.059904098510742, "eval_runtime": 3.2708, "eval_samples_per_second": 84.69, "eval_steps_per_second": 10.701, "step": 3432 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 11.0, "step": 3432 }, { "epoch": 11.22, "learning_rate": 0.00813034188034188, "loss": 25.9846, "step": 3500 }, { "epoch": 12.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 22.10004997253418, "eval_runtime": 3.2728, "eval_samples_per_second": 84.637, "eval_steps_per_second": 10.694, "step": 3744 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 12.0, "step": 3744 }, { "epoch": 12.82, "learning_rate": 0.007863247863247862, "loss": 26.609, "step": 4000 }, { "epoch": 13.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 24.113325119018555, "eval_runtime": 3.2603, "eval_samples_per_second": 84.961, "eval_steps_per_second": 10.735, "step": 4056 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 13.0, "step": 4056 }, { "epoch": 14.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 22.439191818237305, "eval_runtime": 3.2721, "eval_samples_per_second": 84.656, "eval_steps_per_second": 10.697, "step": 4368 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 14.0, "step": 4368 }, { "epoch": 14.42, "learning_rate": 0.007596153846153846, "loss": 26.7751, "step": 4500 }, { "epoch": 15.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 22.051416397094727, "eval_runtime": 3.2657, "eval_samples_per_second": 84.82, "eval_steps_per_second": 10.717, "step": 4680 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 15.0, "step": 4680 }, { "epoch": 16.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 21.441261291503906, "eval_runtime": 3.2728, "eval_samples_per_second": 84.636, "eval_steps_per_second": 10.694, "step": 4992 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 16.0, "step": 4992 }, { "epoch": 16.03, "learning_rate": 0.007329059829059828, "loss": 25.8484, "step": 5000 }, { "epoch": 17.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 21.67586898803711, "eval_runtime": 3.2717, "eval_samples_per_second": 84.666, "eval_steps_per_second": 10.698, "step": 5304 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 17.0, "step": 5304 }, { "epoch": 17.63, "learning_rate": 0.007061965811965812, "loss": 25.7937, "step": 5500 }, { "epoch": 18.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 21.272621154785156, "eval_runtime": 3.2737, "eval_samples_per_second": 84.614, "eval_steps_per_second": 10.691, "step": 5616 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 18.0, "step": 5616 }, { "epoch": 19.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 21.248903274536133, "eval_runtime": 3.2728, "eval_samples_per_second": 84.638, "eval_steps_per_second": 10.694, "step": 5928 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 19.0, "step": 5928 }, { "epoch": 19.23, "learning_rate": 0.006794871794871795, "loss": 25.6479, "step": 6000 }, { "epoch": 20.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 21.18812370300293, "eval_runtime": 3.2717, "eval_samples_per_second": 84.665, "eval_steps_per_second": 10.698, "step": 6240 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 20.0, "step": 6240 }, { "epoch": 20.83, "learning_rate": 0.006527777777777778, "loss": 25.6144, "step": 6500 }, { "epoch": 21.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 21.03541374206543, "eval_runtime": 3.2731, "eval_samples_per_second": 84.628, "eval_steps_per_second": 10.693, "step": 6552 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 21.0, "step": 6552 }, { "epoch": 22.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 21.06875228881836, "eval_runtime": 3.27, "eval_samples_per_second": 84.709, "eval_steps_per_second": 10.703, "step": 6864 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 22.0, "step": 6864 }, { "epoch": 22.44, "learning_rate": 0.006260683760683761, "loss": 25.4368, "step": 7000 }, { "epoch": 23.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 21.21544075012207, "eval_runtime": 3.2774, "eval_samples_per_second": 84.519, "eval_steps_per_second": 10.679, "step": 7176 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 23.0, "step": 7176 }, { "epoch": 24.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 21.234771728515625, "eval_runtime": 3.2735, "eval_samples_per_second": 84.62, "eval_steps_per_second": 10.692, "step": 7488 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 24.0, "step": 7488 }, { "epoch": 24.04, "learning_rate": 0.005993589743589743, "loss": 25.5564, "step": 7500 }, { "epoch": 25.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 21.15097999572754, "eval_runtime": 3.2785, "eval_samples_per_second": 84.49, "eval_steps_per_second": 10.676, "step": 7800 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 25.0, "step": 7800 }, { "epoch": 25.64, "learning_rate": 0.005726495726495726, "loss": 25.5495, "step": 8000 }, { "epoch": 26.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 21.399234771728516, "eval_runtime": 3.2797, "eval_samples_per_second": 84.46, "eval_steps_per_second": 10.672, "step": 8112 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 26.0, "step": 8112 }, { "epoch": 27.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 21.403474807739258, "eval_runtime": 3.2783, "eval_samples_per_second": 84.496, "eval_steps_per_second": 10.676, "step": 8424 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 27.0, "step": 8424 }, { "epoch": 27.24, "learning_rate": 0.005459401709401709, "loss": 25.4536, "step": 8500 }, { "epoch": 28.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 20.964290618896484, "eval_runtime": 3.2695, "eval_samples_per_second": 84.721, "eval_steps_per_second": 10.705, "step": 8736 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 28.0, "step": 8736 }, { "epoch": 28.85, "learning_rate": 0.005192307692307693, "loss": 25.3641, "step": 9000 }, { "epoch": 29.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 20.778039932250977, "eval_runtime": 3.2743, "eval_samples_per_second": 84.598, "eval_steps_per_second": 10.689, "step": 9048 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 29.0, "step": 9048 }, { "epoch": 30.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 21.47609519958496, "eval_runtime": 3.2759, "eval_samples_per_second": 84.557, "eval_steps_per_second": 10.684, "step": 9360 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 30.0, "step": 9360 }, { "epoch": 30.45, "learning_rate": 0.004925213675213675, "loss": 25.4089, "step": 9500 }, { "epoch": 31.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 21.10526466369629, "eval_runtime": 3.2774, "eval_samples_per_second": 84.519, "eval_steps_per_second": 10.679, "step": 9672 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 31.0, "step": 9672 }, { "epoch": 32.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 21.15567398071289, "eval_runtime": 3.2733, "eval_samples_per_second": 84.624, "eval_steps_per_second": 10.693, "step": 9984 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 32.0, "step": 9984 }, { "epoch": 32.05, "learning_rate": 0.004658119658119658, "loss": 25.6056, "step": 10000 }, { "epoch": 33.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 21.017988204956055, "eval_runtime": 3.2716, "eval_samples_per_second": 84.668, "eval_steps_per_second": 10.698, "step": 10296 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 33.0, "step": 10296 }, { "epoch": 33.65, "learning_rate": 0.004391025641025641, "loss": 25.5078, "step": 10500 }, { "epoch": 34.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 21.102638244628906, "eval_runtime": 3.2768, "eval_samples_per_second": 84.534, "eval_steps_per_second": 10.681, "step": 10608 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 34.0, "step": 10608 }, { "epoch": 35.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 21.372339248657227, "eval_runtime": 3.278, "eval_samples_per_second": 84.503, "eval_steps_per_second": 10.677, "step": 10920 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 35.0, "step": 10920 }, { "epoch": 35.26, "learning_rate": 0.004123931623931624, "loss": 25.6607, "step": 11000 }, { "epoch": 36.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 21.430931091308594, "eval_runtime": 3.271, "eval_samples_per_second": 84.683, "eval_steps_per_second": 10.7, "step": 11232 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 36.0, "step": 11232 }, { "epoch": 36.86, "learning_rate": 0.003856837606837607, "loss": 25.9641, "step": 11500 }, { "epoch": 37.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 21.40829849243164, "eval_runtime": 3.2761, "eval_samples_per_second": 84.553, "eval_steps_per_second": 10.684, "step": 11544 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 37.0, "step": 11544 }, { "epoch": 38.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 21.287500381469727, "eval_runtime": 3.2756, "eval_samples_per_second": 84.564, "eval_steps_per_second": 10.685, "step": 11856 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 38.0, "step": 11856 }, { "epoch": 38.46, "learning_rate": 0.0035897435897435897, "loss": 25.6756, "step": 12000 }, { "epoch": 39.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 21.453834533691406, "eval_runtime": 3.2765, "eval_samples_per_second": 84.54, "eval_steps_per_second": 10.682, "step": 12168 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 39.0, "step": 12168 }, { "epoch": 40.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 21.18698501586914, "eval_runtime": 3.2787, "eval_samples_per_second": 84.484, "eval_steps_per_second": 10.675, "step": 12480 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 40.0, "step": 12480 }, { "epoch": 40.06, "learning_rate": 0.0033226495726495727, "loss": 25.4709, "step": 12500 }, { "epoch": 41.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 21.079587936401367, "eval_runtime": 3.2743, "eval_samples_per_second": 84.599, "eval_steps_per_second": 10.689, "step": 12792 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 41.0, "step": 12792 }, { "epoch": 41.67, "learning_rate": 0.0030555555555555557, "loss": 25.2913, "step": 13000 }, { "epoch": 42.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 20.941194534301758, "eval_runtime": 3.265, "eval_samples_per_second": 84.839, "eval_steps_per_second": 10.72, "step": 13104 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 42.0, "step": 13104 }, { "epoch": 43.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 20.893199920654297, "eval_runtime": 3.2682, "eval_samples_per_second": 84.756, "eval_steps_per_second": 10.709, "step": 13416 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 43.0, "step": 13416 }, { "epoch": 43.27, "learning_rate": 0.0027884615384615387, "loss": 25.1541, "step": 13500 }, { "epoch": 44.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 20.917190551757812, "eval_runtime": 3.2676, "eval_samples_per_second": 84.771, "eval_steps_per_second": 10.711, "step": 13728 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 44.0, "step": 13728 }, { "epoch": 44.87, "learning_rate": 0.0025213675213675213, "loss": 25.0679, "step": 14000 }, { "epoch": 45.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 20.67868995666504, "eval_runtime": 3.2617, "eval_samples_per_second": 84.924, "eval_steps_per_second": 10.731, "step": 14040 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 45.0, "step": 14040 }, { "epoch": 46.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 20.630779266357422, "eval_runtime": 3.2725, "eval_samples_per_second": 84.644, "eval_steps_per_second": 10.695, "step": 14352 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 46.0, "step": 14352 }, { "epoch": 46.47, "learning_rate": 0.0022542735042735042, "loss": 24.965, "step": 14500 }, { "epoch": 47.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 20.524005889892578, "eval_runtime": 3.262, "eval_samples_per_second": 84.918, "eval_steps_per_second": 10.73, "step": 14664 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 47.0, "step": 14664 }, { "epoch": 48.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 20.637798309326172, "eval_runtime": 3.2694, "eval_samples_per_second": 84.724, "eval_steps_per_second": 10.705, "step": 14976 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 48.0, "step": 14976 }, { "epoch": 48.08, "learning_rate": 0.0019871794871794872, "loss": 24.8969, "step": 15000 }, { "epoch": 49.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 20.50297737121582, "eval_runtime": 3.2754, "eval_samples_per_second": 84.57, "eval_steps_per_second": 10.686, "step": 15288 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 49.0, "step": 15288 }, { "epoch": 49.68, "learning_rate": 0.0017200854700854702, "loss": 24.8319, "step": 15500 }, { "epoch": 50.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 20.325740814208984, "eval_runtime": 3.272, "eval_samples_per_second": 84.657, "eval_steps_per_second": 10.697, "step": 15600 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 50.0, "step": 15600 }, { "epoch": 51.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 20.298986434936523, "eval_runtime": 3.2697, "eval_samples_per_second": 84.718, "eval_steps_per_second": 10.704, "step": 15912 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 51.0, "step": 15912 }, { "epoch": 51.28, "learning_rate": 0.0014529914529914532, "loss": 24.7301, "step": 16000 }, { "epoch": 52.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 20.36614418029785, "eval_runtime": 3.272, "eval_samples_per_second": 84.658, "eval_steps_per_second": 10.697, "step": 16224 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 52.0, "step": 16224 }, { "epoch": 52.88, "learning_rate": 0.001185897435897436, "loss": 24.6644, "step": 16500 }, { "epoch": 53.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 20.20882225036621, "eval_runtime": 3.2794, "eval_samples_per_second": 84.467, "eval_steps_per_second": 10.673, "step": 16536 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 53.0, "step": 16536 }, { "epoch": 54.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 20.15430450439453, "eval_runtime": 3.2814, "eval_samples_per_second": 84.414, "eval_steps_per_second": 10.666, "step": 16848 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 54.0, "step": 16848 }, { "epoch": 54.49, "learning_rate": 0.0009188034188034189, "loss": 24.5917, "step": 17000 }, { "epoch": 55.0, "eval_accuracy": 0.4729241877256318, "eval_loss": 20.086036682128906, "eval_runtime": 3.2838, "eval_samples_per_second": 84.354, "eval_steps_per_second": 10.658, "step": 17160 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 55.0, "step": 17160 }, { "epoch": 56.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 20.067216873168945, "eval_runtime": 3.2742, "eval_samples_per_second": 84.601, "eval_steps_per_second": 10.69, "step": 17472 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 56.0, "step": 17472 }, { "epoch": 56.09, "learning_rate": 0.0006517094017094017, "loss": 24.5505, "step": 17500 }, { "epoch": 57.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 20.051782608032227, "eval_runtime": 3.2808, "eval_samples_per_second": 84.431, "eval_steps_per_second": 10.668, "step": 17784 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 57.0, "step": 17784 }, { "epoch": 57.69, "learning_rate": 0.00038461538461538467, "loss": 24.5065, "step": 18000 }, { "epoch": 58.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 20.003583908081055, "eval_runtime": 3.2825, "eval_samples_per_second": 84.387, "eval_steps_per_second": 10.663, "step": 18096 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 58.0, "step": 18096 }, { "epoch": 59.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 19.99390411376953, "eval_runtime": 3.2846, "eval_samples_per_second": 84.332, "eval_steps_per_second": 10.656, "step": 18408 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 59.0, "step": 18408 }, { "epoch": 59.29, "learning_rate": 0.00011752136752136752, "loss": 24.4773, "step": 18500 }, { "epoch": 60.0, "eval_accuracy": 0.5270758122743683, "eval_loss": 19.989938735961914, "eval_runtime": 3.2766, "eval_samples_per_second": 84.539, "eval_steps_per_second": 10.682, "step": 18720 }, { "best_epoch": 0, "best_eval_accuracy": 0.5270758122743683, "epoch": 60.0, "step": 18720 }, { "epoch": 60.0, "step": 18720, "total_flos": 7.25686341470208e+16, "train_loss": 25.62186534914196, "train_runtime": 3131.9415, "train_samples_per_second": 47.702, "train_steps_per_second": 5.977 } ], "max_steps": 18720, "num_train_epochs": 60, "total_flos": 7.25686341470208e+16, "trial_name": null, "trial_params": null }