{ "best_metric": 0.855129650507328, "best_model_checkpoint": "vit-large-patch16-224-finetuned-galaxy10-decals/checkpoint-906", "epoch": 29.76, "eval_steps": 500, "global_step": 930, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.32, "learning_rate": 1.0752688172043012e-05, "loss": 2.2239, "step": 10 }, { "epoch": 0.64, "learning_rate": 2.1505376344086024e-05, "loss": 1.609, "step": 20 }, { "epoch": 0.96, "learning_rate": 3.2258064516129034e-05, "loss": 1.0358, "step": 30 }, { "epoch": 0.99, "eval_accuracy": 0.7361894024802705, "eval_f1": 0.7266397888949025, "eval_loss": 0.7598127126693726, "eval_precision": 0.7424926838922145, "eval_recall": 0.7361894024802705, "eval_runtime": 17.3826, "eval_samples_per_second": 102.056, "eval_steps_per_second": 0.805, "step": 31 }, { "epoch": 1.28, "learning_rate": 4.301075268817205e-05, "loss": 0.8138, "step": 40 }, { "epoch": 1.6, "learning_rate": 5.3763440860215054e-05, "loss": 0.7072, "step": 50 }, { "epoch": 1.92, "learning_rate": 6.451612903225807e-05, "loss": 0.6822, "step": 60 }, { "epoch": 1.98, "eval_accuracy": 0.7919954904171365, "eval_f1": 0.7898931758849426, "eval_loss": 0.6136134266853333, "eval_precision": 0.7971665728434488, "eval_recall": 0.7919954904171365, "eval_runtime": 17.1163, "eval_samples_per_second": 103.644, "eval_steps_per_second": 0.818, "step": 62 }, { "epoch": 2.24, "learning_rate": 7.526881720430108e-05, "loss": 0.6682, "step": 70 }, { "epoch": 2.56, "learning_rate": 8.60215053763441e-05, "loss": 0.6424, "step": 80 }, { "epoch": 2.88, "learning_rate": 9.677419354838711e-05, "loss": 0.6535, "step": 90 }, { "epoch": 2.98, "eval_accuracy": 0.8105975197294251, "eval_f1": 0.8061910960708782, "eval_loss": 0.5416004061698914, "eval_precision": 0.8140360122948396, "eval_recall": 0.8105975197294251, "eval_runtime": 17.566, "eval_samples_per_second": 100.99, "eval_steps_per_second": 0.797, "step": 93 }, { "epoch": 3.2, "learning_rate": 9.916367980884111e-05, "loss": 0.6169, "step": 100 }, { "epoch": 3.52, "learning_rate": 9.79689366786141e-05, "loss": 0.6022, "step": 110 }, { "epoch": 3.84, "learning_rate": 9.677419354838711e-05, "loss": 0.5696, "step": 120 }, { "epoch": 4.0, "eval_accuracy": 0.8162344983089064, "eval_f1": 0.8139861710754493, "eval_loss": 0.5304952263832092, "eval_precision": 0.8195322178917354, "eval_recall": 0.8162344983089064, "eval_runtime": 17.3334, "eval_samples_per_second": 102.346, "eval_steps_per_second": 0.808, "step": 125 }, { "epoch": 4.16, "learning_rate": 9.55794504181601e-05, "loss": 0.5455, "step": 130 }, { "epoch": 4.48, "learning_rate": 9.438470728793309e-05, "loss": 0.5421, "step": 140 }, { "epoch": 4.8, "learning_rate": 9.31899641577061e-05, "loss": 0.5435, "step": 150 }, { "epoch": 4.99, "eval_accuracy": 0.814543404735062, "eval_f1": 0.8161156144737257, "eval_loss": 0.5555492043495178, "eval_precision": 0.8241810477987659, "eval_recall": 0.814543404735062, "eval_runtime": 17.1642, "eval_samples_per_second": 103.354, "eval_steps_per_second": 0.816, "step": 156 }, { "epoch": 5.12, "learning_rate": 9.199522102747909e-05, "loss": 0.5186, "step": 160 }, { "epoch": 5.44, "learning_rate": 9.080047789725208e-05, "loss": 0.5074, "step": 170 }, { "epoch": 5.76, "learning_rate": 8.960573476702509e-05, "loss": 0.4621, "step": 180 }, { "epoch": 5.98, "eval_accuracy": 0.8297632468996617, "eval_f1": 0.8254361806374156, "eval_loss": 0.5074881315231323, "eval_precision": 0.8343689618318259, "eval_recall": 0.8297632468996617, "eval_runtime": 17.1936, "eval_samples_per_second": 103.178, "eval_steps_per_second": 0.814, "step": 187 }, { "epoch": 6.08, "learning_rate": 8.84109916367981e-05, "loss": 0.4713, "step": 190 }, { "epoch": 6.4, "learning_rate": 8.72162485065711e-05, "loss": 0.4516, "step": 200 }, { "epoch": 6.72, "learning_rate": 8.60215053763441e-05, "loss": 0.4479, "step": 210 }, { "epoch": 6.98, "eval_accuracy": 0.8280721533258174, "eval_f1": 0.8268976469809478, "eval_loss": 0.5117892622947693, "eval_precision": 0.8290711099056762, "eval_recall": 0.8280721533258174, "eval_runtime": 17.1887, "eval_samples_per_second": 103.207, "eval_steps_per_second": 0.814, "step": 218 }, { "epoch": 7.04, "learning_rate": 8.482676224611709e-05, "loss": 0.4864, "step": 220 }, { "epoch": 7.36, "learning_rate": 8.363201911589009e-05, "loss": 0.4469, "step": 230 }, { "epoch": 7.68, "learning_rate": 8.243727598566309e-05, "loss": 0.4427, "step": 240 }, { "epoch": 8.0, "learning_rate": 8.124253285543608e-05, "loss": 0.4318, "step": 250 }, { "epoch": 8.0, "eval_accuracy": 0.8196166854565953, "eval_f1": 0.8165810295817906, "eval_loss": 0.5163812041282654, "eval_precision": 0.8254762320844335, "eval_recall": 0.8196166854565953, "eval_runtime": 17.2603, "eval_samples_per_second": 102.779, "eval_steps_per_second": 0.811, "step": 250 }, { "epoch": 8.32, "learning_rate": 8.004778972520908e-05, "loss": 0.3936, "step": 260 }, { "epoch": 8.64, "learning_rate": 7.885304659498209e-05, "loss": 0.4184, "step": 270 }, { "epoch": 8.96, "learning_rate": 7.765830346475508e-05, "loss": 0.4011, "step": 280 }, { "epoch": 8.99, "eval_accuracy": 0.8410372040586246, "eval_f1": 0.8361869699508147, "eval_loss": 0.5086681246757507, "eval_precision": 0.8369303660828149, "eval_recall": 0.8410372040586246, "eval_runtime": 17.2372, "eval_samples_per_second": 102.917, "eval_steps_per_second": 0.812, "step": 281 }, { "epoch": 9.28, "learning_rate": 7.646356033452809e-05, "loss": 0.3623, "step": 290 }, { "epoch": 9.6, "learning_rate": 7.526881720430108e-05, "loss": 0.3859, "step": 300 }, { "epoch": 9.92, "learning_rate": 7.407407407407407e-05, "loss": 0.355, "step": 310 }, { "epoch": 9.98, "eval_accuracy": 0.8410372040586246, "eval_f1": 0.8405397327667177, "eval_loss": 0.5063195824623108, "eval_precision": 0.8432750192889569, "eval_recall": 0.8410372040586246, "eval_runtime": 16.9471, "eval_samples_per_second": 104.678, "eval_steps_per_second": 0.826, "step": 312 }, { "epoch": 10.24, "learning_rate": 7.287933094384708e-05, "loss": 0.3546, "step": 320 }, { "epoch": 10.56, "learning_rate": 7.168458781362007e-05, "loss": 0.3651, "step": 330 }, { "epoch": 10.88, "learning_rate": 7.048984468339306e-05, "loss": 0.3655, "step": 340 }, { "epoch": 10.98, "eval_accuracy": 0.8325817361894025, "eval_f1": 0.8304645126548728, "eval_loss": 0.5418781042098999, "eval_precision": 0.8342869154143101, "eval_recall": 0.8325817361894025, "eval_runtime": 17.1542, "eval_samples_per_second": 103.415, "eval_steps_per_second": 0.816, "step": 343 }, { "epoch": 11.2, "learning_rate": 6.929510155316607e-05, "loss": 0.321, "step": 350 }, { "epoch": 11.52, "learning_rate": 6.810035842293908e-05, "loss": 0.3149, "step": 360 }, { "epoch": 11.84, "learning_rate": 6.690561529271207e-05, "loss": 0.3292, "step": 370 }, { "epoch": 12.0, "eval_accuracy": 0.8438556933483653, "eval_f1": 0.8414694905603178, "eval_loss": 0.5134132504463196, "eval_precision": 0.8441999477281247, "eval_recall": 0.8438556933483653, "eval_runtime": 17.5078, "eval_samples_per_second": 101.326, "eval_steps_per_second": 0.8, "step": 375 }, { "epoch": 12.16, "learning_rate": 6.571087216248507e-05, "loss": 0.307, "step": 380 }, { "epoch": 12.48, "learning_rate": 6.451612903225807e-05, "loss": 0.2954, "step": 390 }, { "epoch": 12.8, "learning_rate": 6.332138590203107e-05, "loss": 0.3207, "step": 400 }, { "epoch": 12.99, "eval_accuracy": 0.818489289740699, "eval_f1": 0.8178062229123537, "eval_loss": 0.6284513473510742, "eval_precision": 0.8292555687045076, "eval_recall": 0.818489289740699, "eval_runtime": 17.3492, "eval_samples_per_second": 102.253, "eval_steps_per_second": 0.807, "step": 406 }, { "epoch": 13.12, "learning_rate": 6.212664277180407e-05, "loss": 0.3036, "step": 410 }, { "epoch": 13.44, "learning_rate": 6.093189964157706e-05, "loss": 0.2996, "step": 420 }, { "epoch": 13.76, "learning_rate": 5.9737156511350064e-05, "loss": 0.2931, "step": 430 }, { "epoch": 13.98, "eval_accuracy": 0.8382187147688839, "eval_f1": 0.8370541465865403, "eval_loss": 0.5627130270004272, "eval_precision": 0.839486824110364, "eval_recall": 0.8382187147688839, "eval_runtime": 17.3615, "eval_samples_per_second": 102.18, "eval_steps_per_second": 0.806, "step": 437 }, { "epoch": 14.08, "learning_rate": 5.8542413381123063e-05, "loss": 0.285, "step": 440 }, { "epoch": 14.4, "learning_rate": 5.7347670250896056e-05, "loss": 0.2668, "step": 450 }, { "epoch": 14.72, "learning_rate": 5.615292712066906e-05, "loss": 0.2817, "step": 460 }, { "epoch": 14.98, "eval_accuracy": 0.8207440811724915, "eval_f1": 0.8215045979425666, "eval_loss": 0.6059415936470032, "eval_precision": 0.8277800413747494, "eval_recall": 0.8207440811724915, "eval_runtime": 17.4368, "eval_samples_per_second": 101.739, "eval_steps_per_second": 0.803, "step": 468 }, { "epoch": 15.04, "learning_rate": 5.495818399044206e-05, "loss": 0.2788, "step": 470 }, { "epoch": 15.36, "learning_rate": 5.3763440860215054e-05, "loss": 0.2477, "step": 480 }, { "epoch": 15.68, "learning_rate": 5.256869772998806e-05, "loss": 0.2632, "step": 490 }, { "epoch": 16.0, "learning_rate": 5.137395459976105e-05, "loss": 0.2713, "step": 500 }, { "epoch": 16.0, "eval_accuracy": 0.8382187147688839, "eval_f1": 0.833707206410208, "eval_loss": 0.6140456795692444, "eval_precision": 0.8367410596472065, "eval_recall": 0.8382187147688839, "eval_runtime": 16.853, "eval_samples_per_second": 105.263, "eval_steps_per_second": 0.831, "step": 500 }, { "epoch": 16.32, "learning_rate": 5.017921146953405e-05, "loss": 0.2436, "step": 510 }, { "epoch": 16.64, "learning_rate": 4.898446833930705e-05, "loss": 0.2609, "step": 520 }, { "epoch": 16.96, "learning_rate": 4.778972520908005e-05, "loss": 0.233, "step": 530 }, { "epoch": 16.99, "eval_accuracy": 0.8382187147688839, "eval_f1": 0.8374417130087097, "eval_loss": 0.5992226004600525, "eval_precision": 0.8384211210396012, "eval_recall": 0.8382187147688839, "eval_runtime": 17.2766, "eval_samples_per_second": 102.682, "eval_steps_per_second": 0.81, "step": 531 }, { "epoch": 17.28, "learning_rate": 4.659498207885305e-05, "loss": 0.2495, "step": 540 }, { "epoch": 17.6, "learning_rate": 4.540023894862604e-05, "loss": 0.2439, "step": 550 }, { "epoch": 17.92, "learning_rate": 4.420549581839905e-05, "loss": 0.2313, "step": 560 }, { "epoch": 17.98, "eval_accuracy": 0.8291995490417137, "eval_f1": 0.8277700567784572, "eval_loss": 0.6679310202598572, "eval_precision": 0.8343220081023114, "eval_recall": 0.8291995490417137, "eval_runtime": 17.1635, "eval_samples_per_second": 103.359, "eval_steps_per_second": 0.816, "step": 562 }, { "epoch": 18.24, "learning_rate": 4.301075268817205e-05, "loss": 0.2372, "step": 570 }, { "epoch": 18.56, "learning_rate": 4.1816009557945046e-05, "loss": 0.2221, "step": 580 }, { "epoch": 18.88, "learning_rate": 4.062126642771804e-05, "loss": 0.223, "step": 590 }, { "epoch": 18.98, "eval_accuracy": 0.8342728297632469, "eval_f1": 0.8347284925921231, "eval_loss": 0.650068461894989, "eval_precision": 0.83863912442667, "eval_recall": 0.8342728297632469, "eval_runtime": 17.3595, "eval_samples_per_second": 102.192, "eval_steps_per_second": 0.806, "step": 593 }, { "epoch": 19.2, "learning_rate": 3.9426523297491045e-05, "loss": 0.2233, "step": 600 }, { "epoch": 19.52, "learning_rate": 3.8231780167264044e-05, "loss": 0.2252, "step": 610 }, { "epoch": 19.84, "learning_rate": 3.7037037037037037e-05, "loss": 0.2126, "step": 620 }, { "epoch": 20.0, "eval_accuracy": 0.8342728297632469, "eval_f1": 0.8296208996152092, "eval_loss": 0.6730501651763916, "eval_precision": 0.8304365724870174, "eval_recall": 0.8342728297632469, "eval_runtime": 17.1049, "eval_samples_per_second": 103.713, "eval_steps_per_second": 0.818, "step": 625 }, { "epoch": 20.16, "learning_rate": 3.5842293906810036e-05, "loss": 0.2106, "step": 630 }, { "epoch": 20.48, "learning_rate": 3.4647550776583035e-05, "loss": 0.2086, "step": 640 }, { "epoch": 20.8, "learning_rate": 3.3452807646356034e-05, "loss": 0.2078, "step": 650 }, { "epoch": 20.99, "eval_accuracy": 0.8387824126268321, "eval_f1": 0.8383399204498011, "eval_loss": 0.6334655284881592, "eval_precision": 0.8409778004650714, "eval_recall": 0.8387824126268321, "eval_runtime": 16.9486, "eval_samples_per_second": 104.669, "eval_steps_per_second": 0.826, "step": 656 }, { "epoch": 21.12, "learning_rate": 3.2258064516129034e-05, "loss": 0.2071, "step": 660 }, { "epoch": 21.44, "learning_rate": 3.106332138590203e-05, "loss": 0.2069, "step": 670 }, { "epoch": 21.76, "learning_rate": 2.9868578255675032e-05, "loss": 0.201, "step": 680 }, { "epoch": 21.98, "eval_accuracy": 0.850620067643743, "eval_f1": 0.8485040018671677, "eval_loss": 0.6119940876960754, "eval_precision": 0.84779749511018, "eval_recall": 0.850620067643743, "eval_runtime": 17.2379, "eval_samples_per_second": 102.913, "eval_steps_per_second": 0.812, "step": 687 }, { "epoch": 22.08, "learning_rate": 2.8673835125448028e-05, "loss": 0.2058, "step": 690 }, { "epoch": 22.4, "learning_rate": 2.747909199522103e-05, "loss": 0.1894, "step": 700 }, { "epoch": 22.72, "learning_rate": 2.628434886499403e-05, "loss": 0.2045, "step": 710 }, { "epoch": 22.98, "eval_accuracy": 0.8410372040586246, "eval_f1": 0.8370636059789568, "eval_loss": 0.6590279340744019, "eval_precision": 0.8389140338894852, "eval_recall": 0.8410372040586246, "eval_runtime": 17.4487, "eval_samples_per_second": 101.669, "eval_steps_per_second": 0.802, "step": 718 }, { "epoch": 23.04, "learning_rate": 2.5089605734767026e-05, "loss": 0.2042, "step": 720 }, { "epoch": 23.36, "learning_rate": 2.3894862604540025e-05, "loss": 0.2018, "step": 730 }, { "epoch": 23.68, "learning_rate": 2.270011947431302e-05, "loss": 0.201, "step": 740 }, { "epoch": 24.0, "learning_rate": 2.1505376344086024e-05, "loss": 0.1759, "step": 750 }, { "epoch": 24.0, "eval_accuracy": 0.8489289740698985, "eval_f1": 0.8457283475787394, "eval_loss": 0.6477726697921753, "eval_precision": 0.8463914374344644, "eval_recall": 0.8489289740698985, "eval_runtime": 17.1928, "eval_samples_per_second": 103.183, "eval_steps_per_second": 0.814, "step": 750 }, { "epoch": 24.32, "learning_rate": 2.031063321385902e-05, "loss": 0.2004, "step": 760 }, { "epoch": 24.64, "learning_rate": 1.9115890083632022e-05, "loss": 0.1828, "step": 770 }, { "epoch": 24.96, "learning_rate": 1.7921146953405018e-05, "loss": 0.1856, "step": 780 }, { "epoch": 24.99, "eval_accuracy": 0.8444193912063134, "eval_f1": 0.8420114736469138, "eval_loss": 0.6604239344596863, "eval_precision": 0.8413499043245124, "eval_recall": 0.8444193912063134, "eval_runtime": 17.0578, "eval_samples_per_second": 103.999, "eval_steps_per_second": 0.821, "step": 781 }, { "epoch": 25.28, "learning_rate": 1.6726403823178017e-05, "loss": 0.1685, "step": 790 }, { "epoch": 25.6, "learning_rate": 1.5531660692951016e-05, "loss": 0.1717, "step": 800 }, { "epoch": 25.92, "learning_rate": 1.4336917562724014e-05, "loss": 0.1766, "step": 810 }, { "epoch": 25.98, "eval_accuracy": 0.8500563697857948, "eval_f1": 0.8484278487289038, "eval_loss": 0.6922361850738525, "eval_precision": 0.8491261339823137, "eval_recall": 0.8500563697857948, "eval_runtime": 17.4796, "eval_samples_per_second": 101.49, "eval_steps_per_second": 0.801, "step": 812 }, { "epoch": 26.24, "learning_rate": 1.3142174432497015e-05, "loss": 0.1839, "step": 820 }, { "epoch": 26.56, "learning_rate": 1.1947431302270013e-05, "loss": 0.1758, "step": 830 }, { "epoch": 26.88, "learning_rate": 1.0752688172043012e-05, "loss": 0.1841, "step": 840 }, { "epoch": 26.98, "eval_accuracy": 0.8500563697857948, "eval_f1": 0.8485537434372422, "eval_loss": 0.6484794616699219, "eval_precision": 0.8493151913843657, "eval_recall": 0.8500563697857948, "eval_runtime": 17.1293, "eval_samples_per_second": 103.565, "eval_steps_per_second": 0.817, "step": 843 }, { "epoch": 27.2, "learning_rate": 9.557945041816011e-06, "loss": 0.1818, "step": 850 }, { "epoch": 27.52, "learning_rate": 8.363201911589009e-06, "loss": 0.1798, "step": 860 }, { "epoch": 27.84, "learning_rate": 7.168458781362007e-06, "loss": 0.1707, "step": 870 }, { "epoch": 28.0, "eval_accuracy": 0.846674182638106, "eval_f1": 0.844633535513836, "eval_loss": 0.6392838954925537, "eval_precision": 0.8439910314731612, "eval_recall": 0.846674182638106, "eval_runtime": 17.3476, "eval_samples_per_second": 102.262, "eval_steps_per_second": 0.807, "step": 875 }, { "epoch": 28.16, "learning_rate": 5.973715651135006e-06, "loss": 0.1883, "step": 880 }, { "epoch": 28.48, "learning_rate": 4.7789725209080055e-06, "loss": 0.1712, "step": 890 }, { "epoch": 28.8, "learning_rate": 3.5842293906810035e-06, "loss": 0.1792, "step": 900 }, { "epoch": 28.99, "eval_accuracy": 0.855129650507328, "eval_f1": 0.8525596225280389, "eval_loss": 0.6403793692588806, "eval_precision": 0.8525018926508404, "eval_recall": 0.855129650507328, "eval_runtime": 17.1962, "eval_samples_per_second": 103.162, "eval_steps_per_second": 0.814, "step": 906 }, { "epoch": 29.12, "learning_rate": 2.3894862604540028e-06, "loss": 0.1795, "step": 910 }, { "epoch": 29.44, "learning_rate": 1.1947431302270014e-06, "loss": 0.1619, "step": 920 }, { "epoch": 29.76, "learning_rate": 0.0, "loss": 0.1713, "step": 930 }, { "epoch": 29.76, "eval_accuracy": 0.8534385569334837, "eval_f1": 0.851097208124706, "eval_loss": 0.6397678256034851, "eval_precision": 0.8513110036968645, "eval_recall": 0.8534385569334837, "eval_runtime": 17.1103, "eval_samples_per_second": 103.68, "eval_steps_per_second": 0.818, "step": 930 }, { "epoch": 29.76, "step": 930, "total_flos": 1.3013814188701234e+20, "train_loss": 0.3639387649874533, "train_runtime": 9909.908, "train_samples_per_second": 48.321, "train_steps_per_second": 0.094 } ], "logging_steps": 10, "max_steps": 930, "num_input_tokens_seen": 0, "num_train_epochs": 30, "save_steps": 500, "total_flos": 1.3013814188701234e+20, "train_batch_size": 128, "trial_name": null, "trial_params": null }