{ "best_metric": 0.9975817923186344, "best_model_checkpoint": "VitDisease/checkpoint-384", "epoch": 2.9960988296488944, "eval_steps": 500, "global_step": 576, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.05, "learning_rate": 8.620689655172414e-06, "loss": 3.6405, "step": 10 }, { "epoch": 0.1, "learning_rate": 1.7241379310344828e-05, "loss": 3.5875, "step": 20 }, { "epoch": 0.16, "learning_rate": 2.5862068965517244e-05, "loss": 3.4689, "step": 30 }, { "epoch": 0.21, "learning_rate": 3.4482758620689657e-05, "loss": 3.29, "step": 40 }, { "epoch": 0.26, "learning_rate": 4.3103448275862066e-05, "loss": 3.0405, "step": 50 }, { "epoch": 0.31, "learning_rate": 4.980694980694981e-05, "loss": 2.7252, "step": 60 }, { "epoch": 0.36, "learning_rate": 4.884169884169885e-05, "loss": 2.3972, "step": 70 }, { "epoch": 0.42, "learning_rate": 4.787644787644788e-05, "loss": 2.1134, "step": 80 }, { "epoch": 0.47, "learning_rate": 4.6911196911196914e-05, "loss": 1.8631, "step": 90 }, { "epoch": 0.52, "learning_rate": 4.594594594594595e-05, "loss": 1.6843, "step": 100 }, { "epoch": 0.57, "learning_rate": 4.498069498069498e-05, "loss": 1.5059, "step": 110 }, { "epoch": 0.62, "learning_rate": 4.401544401544402e-05, "loss": 1.3564, "step": 120 }, { "epoch": 0.68, "learning_rate": 4.305019305019305e-05, "loss": 1.2375, "step": 130 }, { "epoch": 0.73, "learning_rate": 4.2084942084942086e-05, "loss": 1.1429, "step": 140 }, { "epoch": 0.78, "learning_rate": 4.111969111969112e-05, "loss": 1.05, "step": 150 }, { "epoch": 0.83, "learning_rate": 4.015444015444015e-05, "loss": 0.9708, "step": 160 }, { "epoch": 0.88, "learning_rate": 3.918918918918919e-05, "loss": 0.9041, "step": 170 }, { "epoch": 0.94, "learning_rate": 3.822393822393823e-05, "loss": 0.8441, "step": 180 }, { "epoch": 0.99, "learning_rate": 3.725868725868726e-05, "loss": 0.7869, "step": 190 }, { "epoch": 1.0, "eval_accuracy": 0.9927453769559033, "eval_loss": 0.7515802979469299, "eval_runtime": 71.4706, "eval_samples_per_second": 98.362, "eval_steps_per_second": 1.539, "step": 192 }, { "epoch": 1.04, "learning_rate": 3.6293436293436295e-05, "loss": 0.7364, "step": 200 }, { "epoch": 1.09, "learning_rate": 3.532818532818533e-05, "loss": 0.6957, "step": 210 }, { "epoch": 1.14, "learning_rate": 3.436293436293436e-05, "loss": 0.6565, "step": 220 }, { "epoch": 1.2, "learning_rate": 3.33976833976834e-05, "loss": 0.6302, "step": 230 }, { "epoch": 1.25, "learning_rate": 3.2432432432432436e-05, "loss": 0.5991, "step": 240 }, { "epoch": 1.3, "learning_rate": 3.1467181467181466e-05, "loss": 0.5714, "step": 250 }, { "epoch": 1.35, "learning_rate": 3.0501930501930504e-05, "loss": 0.5468, "step": 260 }, { "epoch": 1.4, "learning_rate": 2.953667953667954e-05, "loss": 0.5258, "step": 270 }, { "epoch": 1.46, "learning_rate": 2.857142857142857e-05, "loss": 0.5043, "step": 280 }, { "epoch": 1.51, "learning_rate": 2.7606177606177608e-05, "loss": 0.4892, "step": 290 }, { "epoch": 1.56, "learning_rate": 2.6640926640926645e-05, "loss": 0.4738, "step": 300 }, { "epoch": 1.61, "learning_rate": 2.5675675675675675e-05, "loss": 0.4531, "step": 310 }, { "epoch": 1.66, "learning_rate": 2.4710424710424712e-05, "loss": 0.4447, "step": 320 }, { "epoch": 1.72, "learning_rate": 2.3745173745173746e-05, "loss": 0.4344, "step": 330 }, { "epoch": 1.77, "learning_rate": 2.277992277992278e-05, "loss": 0.422, "step": 340 }, { "epoch": 1.82, "learning_rate": 2.1814671814671817e-05, "loss": 0.4091, "step": 350 }, { "epoch": 1.87, "learning_rate": 2.084942084942085e-05, "loss": 0.396, "step": 360 }, { "epoch": 1.92, "learning_rate": 1.9884169884169884e-05, "loss": 0.3917, "step": 370 }, { "epoch": 1.98, "learning_rate": 1.891891891891892e-05, "loss": 0.3828, "step": 380 }, { "epoch": 2.0, "eval_accuracy": 0.9975817923186344, "eval_loss": 0.3735862076282501, "eval_runtime": 71.8988, "eval_samples_per_second": 97.776, "eval_steps_per_second": 1.53, "step": 384 }, { "epoch": 2.03, "learning_rate": 1.7953667953667955e-05, "loss": 0.3697, "step": 390 }, { "epoch": 2.08, "learning_rate": 1.698841698841699e-05, "loss": 0.3584, "step": 400 }, { "epoch": 2.13, "learning_rate": 1.6023166023166026e-05, "loss": 0.3505, "step": 410 }, { "epoch": 2.18, "learning_rate": 1.505791505791506e-05, "loss": 0.3437, "step": 420 }, { "epoch": 2.24, "learning_rate": 1.4092664092664093e-05, "loss": 0.3378, "step": 430 }, { "epoch": 2.29, "learning_rate": 1.3127413127413127e-05, "loss": 0.3344, "step": 440 }, { "epoch": 2.34, "learning_rate": 1.2162162162162164e-05, "loss": 0.3294, "step": 450 }, { "epoch": 2.39, "learning_rate": 1.1196911196911197e-05, "loss": 0.3237, "step": 460 }, { "epoch": 2.44, "learning_rate": 1.0231660231660233e-05, "loss": 0.3187, "step": 470 }, { "epoch": 2.5, "learning_rate": 9.266409266409266e-06, "loss": 0.3173, "step": 480 }, { "epoch": 2.55, "learning_rate": 8.301158301158302e-06, "loss": 0.3168, "step": 490 }, { "epoch": 2.6, "learning_rate": 7.335907335907337e-06, "loss": 0.3132, "step": 500 }, { "epoch": 2.65, "learning_rate": 6.370656370656371e-06, "loss": 0.3111, "step": 510 }, { "epoch": 2.7, "learning_rate": 5.405405405405406e-06, "loss": 0.3061, "step": 520 }, { "epoch": 2.76, "learning_rate": 4.4401544401544405e-06, "loss": 0.3077, "step": 530 }, { "epoch": 2.81, "learning_rate": 3.474903474903475e-06, "loss": 0.3033, "step": 540 }, { "epoch": 2.86, "learning_rate": 2.5096525096525096e-06, "loss": 0.3021, "step": 550 }, { "epoch": 2.91, "learning_rate": 1.5444015444015445e-06, "loss": 0.3015, "step": 560 }, { "epoch": 2.96, "learning_rate": 5.791505791505791e-07, "loss": 0.299, "step": 570 }, { "epoch": 3.0, "eval_accuracy": 0.9975817923186344, "eval_loss": 0.30786001682281494, "eval_runtime": 70.6316, "eval_samples_per_second": 99.531, "eval_steps_per_second": 1.557, "step": 576 }, { "epoch": 3.0, "step": 576, "total_flos": 1.142879536778512e+19, "train_loss": 0.932237885064549, "train_runtime": 3472.3536, "train_samples_per_second": 42.512, "train_steps_per_second": 0.166 } ], "logging_steps": 10, "max_steps": 576, "num_train_epochs": 3, "save_steps": 500, "total_flos": 1.142879536778512e+19, "trial_name": null, "trial_params": null }