{ "best_metric": 0.5586743354797363, "best_model_checkpoint": "./kd_results/microsoft/beit-base-patch16-224_alpha0.7_temp5.0/checkpoint-1440", "epoch": 20.0, "eval_steps": 500, "global_step": 1800, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.2777777777777778, "grad_norm": 4.854953765869141, "learning_rate": 6.944444444444445e-06, "loss": 1.1971, "step": 25 }, { "epoch": 0.5555555555555556, "grad_norm": 4.132758140563965, "learning_rate": 1.388888888888889e-05, "loss": 1.1345, "step": 50 }, { "epoch": 0.8333333333333334, "grad_norm": 7.529750347137451, "learning_rate": 2.0833333333333336e-05, "loss": 1.1179, "step": 75 }, { "epoch": 1.0, "eval_accuracy": 0.2875494071146245, "eval_loss": 1.4253844022750854, "eval_runtime": 31.7768, "eval_samples_per_second": 31.847, "eval_steps_per_second": 0.504, "step": 90 }, { "epoch": 1.1111111111111112, "grad_norm": 5.156152248382568, "learning_rate": 2.777777777777778e-05, "loss": 1.0713, "step": 100 }, { "epoch": 1.3888888888888888, "grad_norm": 3.974464178085327, "learning_rate": 3.472222222222222e-05, "loss": 1.0127, "step": 125 }, { "epoch": 1.6666666666666665, "grad_norm": 6.480051517486572, "learning_rate": 4.166666666666667e-05, "loss": 0.9649, "step": 150 }, { "epoch": 1.9444444444444444, "grad_norm": 5.899675369262695, "learning_rate": 4.8611111111111115e-05, "loss": 0.8879, "step": 175 }, { "epoch": 2.0, "eval_accuracy": 0.5632411067193676, "eval_loss": 1.0517464876174927, "eval_runtime": 31.398, "eval_samples_per_second": 32.231, "eval_steps_per_second": 0.51, "step": 180 }, { "epoch": 2.2222222222222223, "grad_norm": 8.341927528381348, "learning_rate": 4.938271604938271e-05, "loss": 0.6881, "step": 200 }, { "epoch": 2.5, "grad_norm": 5.7711968421936035, "learning_rate": 4.8611111111111115e-05, "loss": 0.6336, "step": 225 }, { "epoch": 2.7777777777777777, "grad_norm": 5.359498500823975, "learning_rate": 4.783950617283951e-05, "loss": 0.5644, "step": 250 }, { "epoch": 3.0, "eval_accuracy": 0.7430830039525692, "eval_loss": 0.7063300609588623, "eval_runtime": 31.3401, "eval_samples_per_second": 32.291, "eval_steps_per_second": 0.511, "step": 270 }, { "epoch": 3.0555555555555554, "grad_norm": 3.9833033084869385, "learning_rate": 4.70679012345679e-05, "loss": 0.4968, "step": 275 }, { "epoch": 3.3333333333333335, "grad_norm": 4.732687473297119, "learning_rate": 4.62962962962963e-05, "loss": 0.4054, "step": 300 }, { "epoch": 3.611111111111111, "grad_norm": 6.728626251220703, "learning_rate": 4.5524691358024696e-05, "loss": 0.3964, "step": 325 }, { "epoch": 3.888888888888889, "grad_norm": 4.665893077850342, "learning_rate": 4.4753086419753084e-05, "loss": 0.3909, "step": 350 }, { "epoch": 4.0, "eval_accuracy": 0.7727272727272727, "eval_loss": 0.6420592069625854, "eval_runtime": 30.3488, "eval_samples_per_second": 33.346, "eval_steps_per_second": 0.527, "step": 360 }, { "epoch": 4.166666666666667, "grad_norm": 4.054627418518066, "learning_rate": 4.3981481481481486e-05, "loss": 0.3229, "step": 375 }, { "epoch": 4.444444444444445, "grad_norm": 4.525479316711426, "learning_rate": 4.3209876543209875e-05, "loss": 0.2746, "step": 400 }, { "epoch": 4.722222222222222, "grad_norm": 3.628028392791748, "learning_rate": 4.243827160493827e-05, "loss": 0.2708, "step": 425 }, { "epoch": 5.0, "grad_norm": 4.1524553298950195, "learning_rate": 4.166666666666667e-05, "loss": 0.2787, "step": 450 }, { "epoch": 5.0, "eval_accuracy": 0.7875494071146245, "eval_loss": 0.6018449664115906, "eval_runtime": 30.9616, "eval_samples_per_second": 32.686, "eval_steps_per_second": 0.517, "step": 450 }, { "epoch": 5.277777777777778, "grad_norm": 3.271401882171631, "learning_rate": 4.089506172839506e-05, "loss": 0.2339, "step": 475 }, { "epoch": 5.555555555555555, "grad_norm": 3.5659079551696777, "learning_rate": 4.012345679012346e-05, "loss": 0.2227, "step": 500 }, { "epoch": 5.833333333333333, "grad_norm": 3.4077155590057373, "learning_rate": 3.935185185185186e-05, "loss": 0.2167, "step": 525 }, { "epoch": 6.0, "eval_accuracy": 0.7687747035573123, "eval_loss": 0.657771646976471, "eval_runtime": 31.3505, "eval_samples_per_second": 32.28, "eval_steps_per_second": 0.51, "step": 540 }, { "epoch": 6.111111111111111, "grad_norm": 2.961601734161377, "learning_rate": 3.8580246913580246e-05, "loss": 0.2173, "step": 550 }, { "epoch": 6.388888888888889, "grad_norm": 3.4833714962005615, "learning_rate": 3.780864197530865e-05, "loss": 0.2049, "step": 575 }, { "epoch": 6.666666666666667, "grad_norm": 3.0653741359710693, "learning_rate": 3.7037037037037037e-05, "loss": 0.2048, "step": 600 }, { "epoch": 6.944444444444445, "grad_norm": 2.5728049278259277, "learning_rate": 3.626543209876543e-05, "loss": 0.1982, "step": 625 }, { "epoch": 7.0, "eval_accuracy": 0.782608695652174, "eval_loss": 0.6106678247451782, "eval_runtime": 32.139, "eval_samples_per_second": 31.488, "eval_steps_per_second": 0.498, "step": 630 }, { "epoch": 7.222222222222222, "grad_norm": 3.3970484733581543, "learning_rate": 3.5493827160493834e-05, "loss": 0.1764, "step": 650 }, { "epoch": 7.5, "grad_norm": 2.866818904876709, "learning_rate": 3.472222222222222e-05, "loss": 0.1784, "step": 675 }, { "epoch": 7.777777777777778, "grad_norm": 2.679239273071289, "learning_rate": 3.395061728395062e-05, "loss": 0.1799, "step": 700 }, { "epoch": 8.0, "eval_accuracy": 0.8132411067193676, "eval_loss": 0.5741682648658752, "eval_runtime": 31.3562, "eval_samples_per_second": 32.274, "eval_steps_per_second": 0.51, "step": 720 }, { "epoch": 8.055555555555555, "grad_norm": 2.2661197185516357, "learning_rate": 3.317901234567901e-05, "loss": 0.1873, "step": 725 }, { "epoch": 8.333333333333334, "grad_norm": 1.946643590927124, "learning_rate": 3.240740740740741e-05, "loss": 0.1704, "step": 750 }, { "epoch": 8.61111111111111, "grad_norm": 1.6869217157363892, "learning_rate": 3.16358024691358e-05, "loss": 0.1652, "step": 775 }, { "epoch": 8.88888888888889, "grad_norm": 3.4906277656555176, "learning_rate": 3.08641975308642e-05, "loss": 0.1689, "step": 800 }, { "epoch": 9.0, "eval_accuracy": 0.7944664031620553, "eval_loss": 0.6021401882171631, "eval_runtime": 31.727, "eval_samples_per_second": 31.897, "eval_steps_per_second": 0.504, "step": 810 }, { "epoch": 9.166666666666666, "grad_norm": 2.9145889282226562, "learning_rate": 3.0092592592592593e-05, "loss": 0.1589, "step": 825 }, { "epoch": 9.444444444444445, "grad_norm": 1.5670665502548218, "learning_rate": 2.9320987654320992e-05, "loss": 0.1537, "step": 850 }, { "epoch": 9.722222222222221, "grad_norm": 1.8959583044052124, "learning_rate": 2.8549382716049384e-05, "loss": 0.1528, "step": 875 }, { "epoch": 10.0, "grad_norm": 1.9776724576950073, "learning_rate": 2.777777777777778e-05, "loss": 0.1555, "step": 900 }, { "epoch": 10.0, "eval_accuracy": 0.7895256916996047, "eval_loss": 0.587110698223114, "eval_runtime": 30.4121, "eval_samples_per_second": 33.276, "eval_steps_per_second": 0.526, "step": 900 }, { "epoch": 10.277777777777779, "grad_norm": 2.025183916091919, "learning_rate": 2.700617283950617e-05, "loss": 0.1562, "step": 925 }, { "epoch": 10.555555555555555, "grad_norm": 1.173431634902954, "learning_rate": 2.623456790123457e-05, "loss": 0.1538, "step": 950 }, { "epoch": 10.833333333333334, "grad_norm": 3.4991841316223145, "learning_rate": 2.5462962962962965e-05, "loss": 0.1514, "step": 975 }, { "epoch": 11.0, "eval_accuracy": 0.791501976284585, "eval_loss": 0.5836030840873718, "eval_runtime": 32.0032, "eval_samples_per_second": 31.622, "eval_steps_per_second": 0.5, "step": 990 }, { "epoch": 11.11111111111111, "grad_norm": 1.008795142173767, "learning_rate": 2.4691358024691357e-05, "loss": 0.1416, "step": 1000 }, { "epoch": 11.38888888888889, "grad_norm": 3.103557586669922, "learning_rate": 2.3919753086419755e-05, "loss": 0.1361, "step": 1025 }, { "epoch": 11.666666666666666, "grad_norm": 1.1227365732192993, "learning_rate": 2.314814814814815e-05, "loss": 0.1444, "step": 1050 }, { "epoch": 11.944444444444445, "grad_norm": 1.0779048204421997, "learning_rate": 2.2376543209876542e-05, "loss": 0.1418, "step": 1075 }, { "epoch": 12.0, "eval_accuracy": 0.7964426877470355, "eval_loss": 0.5684204697608948, "eval_runtime": 31.8178, "eval_samples_per_second": 31.806, "eval_steps_per_second": 0.503, "step": 1080 }, { "epoch": 12.222222222222221, "grad_norm": 1.3879923820495605, "learning_rate": 2.1604938271604937e-05, "loss": 0.1366, "step": 1100 }, { "epoch": 12.5, "grad_norm": 2.631446123123169, "learning_rate": 2.0833333333333336e-05, "loss": 0.145, "step": 1125 }, { "epoch": 12.777777777777779, "grad_norm": 1.33954656124115, "learning_rate": 2.006172839506173e-05, "loss": 0.1356, "step": 1150 }, { "epoch": 13.0, "eval_accuracy": 0.7974308300395256, "eval_loss": 0.568759024143219, "eval_runtime": 31.3892, "eval_samples_per_second": 32.24, "eval_steps_per_second": 0.51, "step": 1170 }, { "epoch": 13.055555555555555, "grad_norm": 1.1815236806869507, "learning_rate": 1.9290123456790123e-05, "loss": 0.1306, "step": 1175 }, { "epoch": 13.333333333333334, "grad_norm": 1.3230443000793457, "learning_rate": 1.8518518518518518e-05, "loss": 0.1382, "step": 1200 }, { "epoch": 13.61111111111111, "grad_norm": 1.0125420093536377, "learning_rate": 1.7746913580246917e-05, "loss": 0.1309, "step": 1225 }, { "epoch": 13.88888888888889, "grad_norm": 0.9248207807540894, "learning_rate": 1.697530864197531e-05, "loss": 0.1262, "step": 1250 }, { "epoch": 14.0, "eval_accuracy": 0.8053359683794467, "eval_loss": 0.5782861709594727, "eval_runtime": 31.6992, "eval_samples_per_second": 31.925, "eval_steps_per_second": 0.505, "step": 1260 }, { "epoch": 14.166666666666666, "grad_norm": 1.0868349075317383, "learning_rate": 1.6203703703703704e-05, "loss": 0.1308, "step": 1275 }, { "epoch": 14.444444444444445, "grad_norm": 0.8695051670074463, "learning_rate": 1.54320987654321e-05, "loss": 0.129, "step": 1300 }, { "epoch": 14.722222222222221, "grad_norm": 1.301735520362854, "learning_rate": 1.4660493827160496e-05, "loss": 0.1255, "step": 1325 }, { "epoch": 15.0, "grad_norm": 2.268371105194092, "learning_rate": 1.388888888888889e-05, "loss": 0.128, "step": 1350 }, { "epoch": 15.0, "eval_accuracy": 0.7924901185770751, "eval_loss": 0.5665250420570374, "eval_runtime": 31.6739, "eval_samples_per_second": 31.951, "eval_steps_per_second": 0.505, "step": 1350 }, { "epoch": 15.277777777777779, "grad_norm": 0.8186533451080322, "learning_rate": 1.3117283950617285e-05, "loss": 0.1268, "step": 1375 }, { "epoch": 15.555555555555555, "grad_norm": 1.092484474182129, "learning_rate": 1.2345679012345678e-05, "loss": 0.1225, "step": 1400 }, { "epoch": 15.833333333333334, "grad_norm": 0.8935237526893616, "learning_rate": 1.1574074074074075e-05, "loss": 0.1211, "step": 1425 }, { "epoch": 16.0, "eval_accuracy": 0.8013833992094862, "eval_loss": 0.5586743354797363, "eval_runtime": 31.5109, "eval_samples_per_second": 32.116, "eval_steps_per_second": 0.508, "step": 1440 }, { "epoch": 16.11111111111111, "grad_norm": 0.5855790376663208, "learning_rate": 1.0802469135802469e-05, "loss": 0.1195, "step": 1450 }, { "epoch": 16.38888888888889, "grad_norm": 0.7036534547805786, "learning_rate": 1.0030864197530866e-05, "loss": 0.1181, "step": 1475 }, { "epoch": 16.666666666666668, "grad_norm": 0.7655908465385437, "learning_rate": 9.259259259259259e-06, "loss": 0.1217, "step": 1500 }, { "epoch": 16.944444444444443, "grad_norm": 1.5623362064361572, "learning_rate": 8.487654320987654e-06, "loss": 0.1223, "step": 1525 }, { "epoch": 17.0, "eval_accuracy": 0.8033596837944664, "eval_loss": 0.5643883347511292, "eval_runtime": 31.1811, "eval_samples_per_second": 32.456, "eval_steps_per_second": 0.513, "step": 1530 }, { "epoch": 17.22222222222222, "grad_norm": 0.7560245394706726, "learning_rate": 7.71604938271605e-06, "loss": 0.1207, "step": 1550 }, { "epoch": 17.5, "grad_norm": 0.9252073764801025, "learning_rate": 6.944444444444445e-06, "loss": 0.1168, "step": 1575 }, { "epoch": 17.77777777777778, "grad_norm": 0.8090717196464539, "learning_rate": 6.172839506172839e-06, "loss": 0.1133, "step": 1600 }, { "epoch": 18.0, "eval_accuracy": 0.808300395256917, "eval_loss": 0.5634317398071289, "eval_runtime": 31.5051, "eval_samples_per_second": 32.122, "eval_steps_per_second": 0.508, "step": 1620 }, { "epoch": 18.055555555555557, "grad_norm": 0.8598595261573792, "learning_rate": 5.401234567901234e-06, "loss": 0.122, "step": 1625 }, { "epoch": 18.333333333333332, "grad_norm": 0.6354872584342957, "learning_rate": 4.6296296296296296e-06, "loss": 0.1203, "step": 1650 }, { "epoch": 18.61111111111111, "grad_norm": 0.6701659560203552, "learning_rate": 3.858024691358025e-06, "loss": 0.1113, "step": 1675 }, { "epoch": 18.88888888888889, "grad_norm": 0.6543203592300415, "learning_rate": 3.0864197530864196e-06, "loss": 0.1158, "step": 1700 }, { "epoch": 19.0, "eval_accuracy": 0.8063241106719368, "eval_loss": 0.5711103677749634, "eval_runtime": 31.1447, "eval_samples_per_second": 32.493, "eval_steps_per_second": 0.514, "step": 1710 }, { "epoch": 19.166666666666668, "grad_norm": 0.8226360082626343, "learning_rate": 2.3148148148148148e-06, "loss": 0.113, "step": 1725 }, { "epoch": 19.444444444444443, "grad_norm": 0.611422061920166, "learning_rate": 1.5432098765432098e-06, "loss": 0.1178, "step": 1750 }, { "epoch": 19.72222222222222, "grad_norm": 0.5451157689094543, "learning_rate": 7.716049382716049e-07, "loss": 0.1157, "step": 1775 }, { "epoch": 20.0, "grad_norm": 0.8388997912406921, "learning_rate": 0.0, "loss": 0.1119, "step": 1800 }, { "epoch": 20.0, "eval_accuracy": 0.808300395256917, "eval_loss": 0.5648430585861206, "eval_runtime": 32.2673, "eval_samples_per_second": 31.363, "eval_steps_per_second": 0.496, "step": 1800 }, { "epoch": 20.0, "step": 1800, "total_flos": 0.0, "train_loss": 0.2787140127023061, "train_runtime": 10963.1372, "train_samples_per_second": 10.453, "train_steps_per_second": 0.164 } ], "logging_steps": 25, "max_steps": 1800, "num_input_tokens_seen": 0, "num_train_epochs": 20, "save_steps": 500, "stateful_callbacks": { "TrainerControl": { "args": { "should_epoch_stop": false, "should_evaluate": false, "should_log": false, "should_save": true, "should_training_stop": true }, "attributes": {} } }, "total_flos": 0.0, "train_batch_size": 64, "trial_name": null, "trial_params": null }