{ "best_metric": 0.9805094130675526, "best_model_checkpoint": "beit-large-patch16-224-finetuned-LungCancer-Classification-LC25000-AH-40-30-30/checkpoint-465", "epoch": 4.96, "global_step": 465, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.05, "learning_rate": 1.072961373390558e-05, "loss": 0.8808, "step": 5 }, { "epoch": 0.11, "learning_rate": 2.145922746781116e-05, "loss": 0.3702, "step": 10 }, { "epoch": 0.16, "learning_rate": 3.2188841201716734e-05, "loss": 0.2654, "step": 15 }, { "epoch": 0.21, "learning_rate": 4.291845493562232e-05, "loss": 0.2283, "step": 20 }, { "epoch": 0.27, "learning_rate": 5.36480686695279e-05, "loss": 0.1849, "step": 25 }, { "epoch": 0.32, "learning_rate": 6.437768240343347e-05, "loss": 0.1441, "step": 30 }, { "epoch": 0.37, "learning_rate": 7.510729613733907e-05, "loss": 0.4052, "step": 35 }, { "epoch": 0.43, "learning_rate": 8.583690987124464e-05, "loss": 0.1893, "step": 40 }, { "epoch": 0.48, "learning_rate": 9.656652360515021e-05, "loss": 0.1277, "step": 45 }, { "epoch": 0.53, "learning_rate": 0.0001072961373390558, "loss": 0.0835, "step": 50 }, { "epoch": 0.59, "learning_rate": 0.00011802575107296138, "loss": 0.3402, "step": 55 }, { "epoch": 0.64, "learning_rate": 0.00012875536480686693, "loss": 0.2402, "step": 60 }, { "epoch": 0.69, "learning_rate": 0.00013948497854077252, "loss": 0.1546, "step": 65 }, { "epoch": 0.75, "learning_rate": 0.00015021459227467814, "loss": 0.1784, "step": 70 }, { "epoch": 0.8, "learning_rate": 0.0001609442060085837, "loss": 0.3537, "step": 75 }, { "epoch": 0.85, "learning_rate": 0.00017167381974248928, "loss": 0.2355, "step": 80 }, { "epoch": 0.91, "learning_rate": 0.00018240343347639484, "loss": 0.2231, "step": 85 }, { "epoch": 0.96, "learning_rate": 0.00019313304721030043, "loss": 0.2312, "step": 90 }, { "epoch": 0.99, "eval_accuracy": 0.9452934662236988, "eval_loss": 0.18224409222602844, "eval_runtime": 194.4559, "eval_samples_per_second": 23.219, "eval_steps_per_second": 1.455, "step": 93 }, { "epoch": 1.01, "learning_rate": 0.00020386266094420602, "loss": 0.1662, "step": 95 }, { "epoch": 1.07, "learning_rate": 0.0002145922746781116, "loss": 0.2914, "step": 100 }, { "epoch": 1.12, "learning_rate": 0.00022532188841201716, "loss": 0.3028, "step": 105 }, { "epoch": 1.17, "learning_rate": 0.00023605150214592275, "loss": 0.2727, "step": 110 }, { "epoch": 1.23, "learning_rate": 0.0002467811158798283, "loss": 0.1559, "step": 115 }, { "epoch": 1.28, "learning_rate": 0.00025751072961373387, "loss": 0.2356, "step": 120 }, { "epoch": 1.33, "learning_rate": 0.0002682403433476395, "loss": 0.1691, "step": 125 }, { "epoch": 1.39, "learning_rate": 0.00027896995708154504, "loss": 0.1779, "step": 130 }, { "epoch": 1.44, "learning_rate": 0.00028969957081545066, "loss": 0.242, "step": 135 }, { "epoch": 1.49, "learning_rate": 0.00030042918454935627, "loss": 0.4023, "step": 140 }, { "epoch": 1.55, "learning_rate": 0.00031115879828326183, "loss": 0.2509, "step": 145 }, { "epoch": 1.6, "learning_rate": 0.0003218884120171674, "loss": 0.4505, "step": 150 }, { "epoch": 1.65, "learning_rate": 0.00033261802575107295, "loss": 0.2701, "step": 155 }, { "epoch": 1.71, "learning_rate": 0.00034334763948497857, "loss": 0.2335, "step": 160 }, { "epoch": 1.76, "learning_rate": 0.0003540772532188841, "loss": 0.2924, "step": 165 }, { "epoch": 1.81, "learning_rate": 0.0003648068669527897, "loss": 0.2749, "step": 170 }, { "epoch": 1.87, "learning_rate": 0.00037553648068669525, "loss": 0.4105, "step": 175 }, { "epoch": 1.92, "learning_rate": 0.00038626609442060086, "loss": 0.4208, "step": 180 }, { "epoch": 1.97, "learning_rate": 0.0003969957081545064, "loss": 0.3817, "step": 185 }, { "epoch": 1.99, "eval_accuracy": 0.9182724252491694, "eval_loss": 0.210577130317688, "eval_runtime": 194.2162, "eval_samples_per_second": 23.247, "eval_steps_per_second": 1.457, "step": 187 }, { "epoch": 2.03, "learning_rate": 0.00040772532188841203, "loss": 0.457, "step": 190 }, { "epoch": 2.08, "learning_rate": 0.00041845493562231765, "loss": 0.2274, "step": 195 }, { "epoch": 2.13, "learning_rate": 0.0004291845493562232, "loss": 0.192, "step": 200 }, { "epoch": 2.19, "learning_rate": 0.00043991416309012877, "loss": 0.344, "step": 205 }, { "epoch": 2.24, "learning_rate": 0.0004506437768240343, "loss": 0.227, "step": 210 }, { "epoch": 2.29, "learning_rate": 0.00046137339055793994, "loss": 0.4637, "step": 215 }, { "epoch": 2.35, "learning_rate": 0.0004721030042918455, "loss": 0.2279, "step": 220 }, { "epoch": 2.4, "learning_rate": 0.00048283261802575106, "loss": 0.2592, "step": 225 }, { "epoch": 2.45, "learning_rate": 0.0004935622317596566, "loss": 0.1698, "step": 230 }, { "epoch": 2.51, "learning_rate": 0.0004956896551724138, "loss": 0.3807, "step": 235 }, { "epoch": 2.56, "learning_rate": 0.0004849137931034483, "loss": 0.4219, "step": 240 }, { "epoch": 2.61, "learning_rate": 0.00047413793103448276, "loss": 0.1977, "step": 245 }, { "epoch": 2.67, "learning_rate": 0.00046336206896551726, "loss": 0.162, "step": 250 }, { "epoch": 2.72, "learning_rate": 0.0004525862068965517, "loss": 0.2464, "step": 255 }, { "epoch": 2.77, "learning_rate": 0.0004418103448275862, "loss": 0.554, "step": 260 }, { "epoch": 2.83, "learning_rate": 0.0004310344827586207, "loss": 0.4732, "step": 265 }, { "epoch": 2.88, "learning_rate": 0.0004202586206896552, "loss": 0.3694, "step": 270 }, { "epoch": 2.93, "learning_rate": 0.00040948275862068967, "loss": 0.2819, "step": 275 }, { "epoch": 2.99, "learning_rate": 0.00039870689655172416, "loss": 0.2217, "step": 280 }, { "epoch": 3.0, "eval_accuracy": 0.9284606866002215, "eval_loss": 0.190183624625206, "eval_runtime": 193.8722, "eval_samples_per_second": 23.289, "eval_steps_per_second": 1.46, "step": 281 }, { "epoch": 3.04, "learning_rate": 0.0003879310344827586, "loss": 0.192, "step": 285 }, { "epoch": 3.09, "learning_rate": 0.0003771551724137931, "loss": 0.2674, "step": 290 }, { "epoch": 3.15, "learning_rate": 0.0003663793103448276, "loss": 0.2207, "step": 295 }, { "epoch": 3.2, "learning_rate": 0.00035560344827586203, "loss": 0.2125, "step": 300 }, { "epoch": 3.25, "learning_rate": 0.0003448275862068966, "loss": 0.2431, "step": 305 }, { "epoch": 3.31, "learning_rate": 0.0003340517241379311, "loss": 0.1755, "step": 310 }, { "epoch": 3.36, "learning_rate": 0.0003232758620689655, "loss": 0.1636, "step": 315 }, { "epoch": 3.41, "learning_rate": 0.0003125, "loss": 0.1787, "step": 320 }, { "epoch": 3.47, "learning_rate": 0.0003017241379310345, "loss": 0.2748, "step": 325 }, { "epoch": 3.52, "learning_rate": 0.00029094827586206894, "loss": 0.315, "step": 330 }, { "epoch": 3.57, "learning_rate": 0.00028017241379310343, "loss": 0.1869, "step": 335 }, { "epoch": 3.63, "learning_rate": 0.000269396551724138, "loss": 0.1631, "step": 340 }, { "epoch": 3.68, "learning_rate": 0.0002586206896551724, "loss": 0.1704, "step": 345 }, { "epoch": 3.73, "learning_rate": 0.0002478448275862069, "loss": 0.1518, "step": 350 }, { "epoch": 3.79, "learning_rate": 0.00023706896551724138, "loss": 0.0793, "step": 355 }, { "epoch": 3.84, "learning_rate": 0.00022629310344827585, "loss": 0.1535, "step": 360 }, { "epoch": 3.89, "learning_rate": 0.00021551724137931034, "loss": 0.1496, "step": 365 }, { "epoch": 3.95, "learning_rate": 0.00020474137931034484, "loss": 0.2077, "step": 370 }, { "epoch": 4.0, "learning_rate": 0.0001939655172413793, "loss": 0.1667, "step": 375 }, { "epoch": 4.0, "eval_accuracy": 0.9583610188261351, "eval_loss": 0.11267491430044174, "eval_runtime": 193.9805, "eval_samples_per_second": 23.276, "eval_steps_per_second": 1.459, "step": 375 }, { "epoch": 4.05, "learning_rate": 0.0001831896551724138, "loss": 0.1267, "step": 380 }, { "epoch": 4.11, "learning_rate": 0.0001724137931034483, "loss": 0.1083, "step": 385 }, { "epoch": 4.16, "learning_rate": 0.00016163793103448276, "loss": 0.1441, "step": 390 }, { "epoch": 4.21, "learning_rate": 0.00015086206896551725, "loss": 0.1187, "step": 395 }, { "epoch": 4.27, "learning_rate": 0.00014008620689655172, "loss": 0.1174, "step": 400 }, { "epoch": 4.32, "learning_rate": 0.0001293103448275862, "loss": 0.0663, "step": 405 }, { "epoch": 4.37, "learning_rate": 0.00011853448275862069, "loss": 0.075, "step": 410 }, { "epoch": 4.43, "learning_rate": 0.00010775862068965517, "loss": 0.1271, "step": 415 }, { "epoch": 4.48, "learning_rate": 9.698275862068965e-05, "loss": 0.1644, "step": 420 }, { "epoch": 4.53, "learning_rate": 8.620689655172414e-05, "loss": 0.1401, "step": 425 }, { "epoch": 4.59, "learning_rate": 7.543103448275863e-05, "loss": 0.12, "step": 430 }, { "epoch": 4.64, "learning_rate": 6.46551724137931e-05, "loss": 0.1086, "step": 435 }, { "epoch": 4.69, "learning_rate": 5.3879310344827585e-05, "loss": 0.1067, "step": 440 }, { "epoch": 4.75, "learning_rate": 4.310344827586207e-05, "loss": 0.0789, "step": 445 }, { "epoch": 4.8, "learning_rate": 3.232758620689655e-05, "loss": 0.0696, "step": 450 }, { "epoch": 4.85, "learning_rate": 2.1551724137931036e-05, "loss": 0.0584, "step": 455 }, { "epoch": 4.91, "learning_rate": 1.0775862068965518e-05, "loss": 0.1217, "step": 460 }, { "epoch": 4.96, "learning_rate": 0.0, "loss": 0.0572, "step": 465 }, { "epoch": 4.96, "eval_accuracy": 0.9805094130675526, "eval_loss": 0.04738219827413559, "eval_runtime": 193.9079, "eval_samples_per_second": 23.284, "eval_steps_per_second": 1.459, "step": 465 }, { "epoch": 4.96, "step": 465, "total_flos": 8.138660625246413e+18, "train_loss": 0.23329446437538312, "train_runtime": 4933.7001, "train_samples_per_second": 6.065, "train_steps_per_second": 0.094 } ], "max_steps": 465, "num_train_epochs": 5, "total_flos": 8.138660625246413e+18, "trial_name": null, "trial_params": null }