{ "best_metric": 0.8549718856811523, "best_model_checkpoint": "./kd_results/apple/mobilevit-small_alpha0.7_temp5.0/checkpoint-1710", "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": 5.067017078399658, "learning_rate": 6.944444444444445e-06, "loss": 1.3328, "step": 25 }, { "epoch": 0.5555555555555556, "grad_norm": 1.9458526372909546, "learning_rate": 1.388888888888889e-05, "loss": 1.136, "step": 50 }, { "epoch": 0.8333333333333334, "grad_norm": 1.8754066228866577, "learning_rate": 2.0833333333333336e-05, "loss": 1.1311, "step": 75 }, { "epoch": 1.0, "eval_accuracy": 0.24703557312252963, "eval_loss": 1.4279208183288574, "eval_runtime": 28.5592, "eval_samples_per_second": 35.435, "eval_steps_per_second": 0.56, "step": 90 }, { "epoch": 1.1111111111111112, "grad_norm": 2.692765951156616, "learning_rate": 2.777777777777778e-05, "loss": 1.1094, "step": 100 }, { "epoch": 1.3888888888888888, "grad_norm": 3.097252607345581, "learning_rate": 3.472222222222222e-05, "loss": 1.1009, "step": 125 }, { "epoch": 1.6666666666666665, "grad_norm": 1.8249784708023071, "learning_rate": 4.166666666666667e-05, "loss": 1.1182, "step": 150 }, { "epoch": 1.9444444444444444, "grad_norm": 3.1942126750946045, "learning_rate": 4.8611111111111115e-05, "loss": 1.0789, "step": 175 }, { "epoch": 2.0, "eval_accuracy": 0.3191699604743083, "eval_loss": 1.333102822303772, "eval_runtime": 28.5466, "eval_samples_per_second": 35.451, "eval_steps_per_second": 0.56, "step": 180 }, { "epoch": 2.2222222222222223, "grad_norm": 5.066985607147217, "learning_rate": 4.938271604938271e-05, "loss": 1.0393, "step": 200 }, { "epoch": 2.5, "grad_norm": 4.512152671813965, "learning_rate": 4.8611111111111115e-05, "loss": 1.0193, "step": 225 }, { "epoch": 2.7777777777777777, "grad_norm": 4.158876895904541, "learning_rate": 4.783950617283951e-05, "loss": 0.9867, "step": 250 }, { "epoch": 3.0, "eval_accuracy": 0.38636363636363635, "eval_loss": 1.2525354623794556, "eval_runtime": 28.5695, "eval_samples_per_second": 35.422, "eval_steps_per_second": 0.56, "step": 270 }, { "epoch": 3.0555555555555554, "grad_norm": 4.744362831115723, "learning_rate": 4.70679012345679e-05, "loss": 0.961, "step": 275 }, { "epoch": 3.3333333333333335, "grad_norm": 4.1431050300598145, "learning_rate": 4.62962962962963e-05, "loss": 0.8868, "step": 300 }, { "epoch": 3.611111111111111, "grad_norm": 3.916766405105591, "learning_rate": 4.5524691358024696e-05, "loss": 0.8619, "step": 325 }, { "epoch": 3.888888888888889, "grad_norm": 3.961512804031372, "learning_rate": 4.4753086419753084e-05, "loss": 0.8433, "step": 350 }, { "epoch": 4.0, "eval_accuracy": 0.49703557312252966, "eval_loss": 1.067132830619812, "eval_runtime": 28.8584, "eval_samples_per_second": 35.068, "eval_steps_per_second": 0.554, "step": 360 }, { "epoch": 4.166666666666667, "grad_norm": 4.347306728363037, "learning_rate": 4.3981481481481486e-05, "loss": 0.7999, "step": 375 }, { "epoch": 4.444444444444445, "grad_norm": 5.401865005493164, "learning_rate": 4.3209876543209875e-05, "loss": 0.7392, "step": 400 }, { "epoch": 4.722222222222222, "grad_norm": 5.163962364196777, "learning_rate": 4.243827160493827e-05, "loss": 0.725, "step": 425 }, { "epoch": 5.0, "grad_norm": 6.064295291900635, "learning_rate": 4.166666666666667e-05, "loss": 0.7496, "step": 450 }, { "epoch": 5.0, "eval_accuracy": 0.5602766798418972, "eval_loss": 0.9999355673789978, "eval_runtime": 28.6185, "eval_samples_per_second": 35.362, "eval_steps_per_second": 0.559, "step": 450 }, { "epoch": 5.277777777777778, "grad_norm": 3.596616744995117, "learning_rate": 4.089506172839506e-05, "loss": 0.7087, "step": 475 }, { "epoch": 5.555555555555555, "grad_norm": 8.382354736328125, "learning_rate": 4.012345679012346e-05, "loss": 0.7061, "step": 500 }, { "epoch": 5.833333333333333, "grad_norm": 5.777190685272217, "learning_rate": 3.935185185185186e-05, "loss": 0.6948, "step": 525 }, { "epoch": 6.0, "eval_accuracy": 0.5988142292490118, "eval_loss": 0.937413215637207, "eval_runtime": 28.9208, "eval_samples_per_second": 34.992, "eval_steps_per_second": 0.553, "step": 540 }, { "epoch": 6.111111111111111, "grad_norm": 4.378117561340332, "learning_rate": 3.8580246913580246e-05, "loss": 0.6473, "step": 550 }, { "epoch": 6.388888888888889, "grad_norm": 6.292396545410156, "learning_rate": 3.780864197530865e-05, "loss": 0.6451, "step": 575 }, { "epoch": 6.666666666666667, "grad_norm": 10.105191230773926, "learning_rate": 3.7037037037037037e-05, "loss": 0.6372, "step": 600 }, { "epoch": 6.944444444444445, "grad_norm": 4.2663350105285645, "learning_rate": 3.626543209876543e-05, "loss": 0.6495, "step": 625 }, { "epoch": 7.0, "eval_accuracy": 0.6146245059288538, "eval_loss": 0.9065309166908264, "eval_runtime": 28.1886, "eval_samples_per_second": 35.901, "eval_steps_per_second": 0.568, "step": 630 }, { "epoch": 7.222222222222222, "grad_norm": 6.072882175445557, "learning_rate": 3.5493827160493834e-05, "loss": 0.5943, "step": 650 }, { "epoch": 7.5, "grad_norm": 7.997155666351318, "learning_rate": 3.472222222222222e-05, "loss": 0.592, "step": 675 }, { "epoch": 7.777777777777778, "grad_norm": 5.652843952178955, "learning_rate": 3.395061728395062e-05, "loss": 0.6101, "step": 700 }, { "epoch": 8.0, "eval_accuracy": 0.6007905138339921, "eval_loss": 0.9330638647079468, "eval_runtime": 28.9448, "eval_samples_per_second": 34.963, "eval_steps_per_second": 0.553, "step": 720 }, { "epoch": 8.055555555555555, "grad_norm": 5.346714019775391, "learning_rate": 3.317901234567901e-05, "loss": 0.5961, "step": 725 }, { "epoch": 8.333333333333334, "grad_norm": 5.7756123542785645, "learning_rate": 3.240740740740741e-05, "loss": 0.5641, "step": 750 }, { "epoch": 8.61111111111111, "grad_norm": 4.24644136428833, "learning_rate": 3.16358024691358e-05, "loss": 0.5661, "step": 775 }, { "epoch": 8.88888888888889, "grad_norm": 7.723337173461914, "learning_rate": 3.08641975308642e-05, "loss": 0.5591, "step": 800 }, { "epoch": 9.0, "eval_accuracy": 0.6571146245059288, "eval_loss": 0.8673222064971924, "eval_runtime": 29.0659, "eval_samples_per_second": 34.817, "eval_steps_per_second": 0.55, "step": 810 }, { "epoch": 9.166666666666666, "grad_norm": 6.067270755767822, "learning_rate": 3.0092592592592593e-05, "loss": 0.5474, "step": 825 }, { "epoch": 9.444444444444445, "grad_norm": 4.425726413726807, "learning_rate": 2.9320987654320992e-05, "loss": 0.5453, "step": 850 }, { "epoch": 9.722222222222221, "grad_norm": 10.190550804138184, "learning_rate": 2.8549382716049384e-05, "loss": 0.5452, "step": 875 }, { "epoch": 10.0, "grad_norm": 8.709136009216309, "learning_rate": 2.777777777777778e-05, "loss": 0.5406, "step": 900 }, { "epoch": 10.0, "eval_accuracy": 0.6235177865612648, "eval_loss": 0.8704849481582642, "eval_runtime": 28.8308, "eval_samples_per_second": 35.101, "eval_steps_per_second": 0.555, "step": 900 }, { "epoch": 10.277777777777779, "grad_norm": 2.9625649452209473, "learning_rate": 2.700617283950617e-05, "loss": 0.5191, "step": 925 }, { "epoch": 10.555555555555555, "grad_norm": 5.884112358093262, "learning_rate": 2.623456790123457e-05, "loss": 0.5156, "step": 950 }, { "epoch": 10.833333333333334, "grad_norm": 9.00991153717041, "learning_rate": 2.5462962962962965e-05, "loss": 0.5188, "step": 975 }, { "epoch": 11.0, "eval_accuracy": 0.6630434782608695, "eval_loss": 0.8578750491142273, "eval_runtime": 28.2136, "eval_samples_per_second": 35.869, "eval_steps_per_second": 0.567, "step": 990 }, { "epoch": 11.11111111111111, "grad_norm": 6.289473533630371, "learning_rate": 2.4691358024691357e-05, "loss": 0.5064, "step": 1000 }, { "epoch": 11.38888888888889, "grad_norm": 5.463348388671875, "learning_rate": 2.3919753086419755e-05, "loss": 0.4854, "step": 1025 }, { "epoch": 11.666666666666666, "grad_norm": 5.968869686126709, "learning_rate": 2.314814814814815e-05, "loss": 0.4956, "step": 1050 }, { "epoch": 11.944444444444445, "grad_norm": 3.9279537200927734, "learning_rate": 2.2376543209876542e-05, "loss": 0.4875, "step": 1075 }, { "epoch": 12.0, "eval_accuracy": 0.6324110671936759, "eval_loss": 0.8808870315551758, "eval_runtime": 28.7749, "eval_samples_per_second": 35.17, "eval_steps_per_second": 0.556, "step": 1080 }, { "epoch": 12.222222222222221, "grad_norm": 2.7190964221954346, "learning_rate": 2.1604938271604937e-05, "loss": 0.4716, "step": 1100 }, { "epoch": 12.5, "grad_norm": 5.235175132751465, "learning_rate": 2.0833333333333336e-05, "loss": 0.4614, "step": 1125 }, { "epoch": 12.777777777777779, "grad_norm": 4.206543445587158, "learning_rate": 2.006172839506173e-05, "loss": 0.4596, "step": 1150 }, { "epoch": 13.0, "eval_accuracy": 0.6324110671936759, "eval_loss": 0.8903521299362183, "eval_runtime": 28.7353, "eval_samples_per_second": 35.218, "eval_steps_per_second": 0.557, "step": 1170 }, { "epoch": 13.055555555555555, "grad_norm": 5.413076400756836, "learning_rate": 1.9290123456790123e-05, "loss": 0.4607, "step": 1175 }, { "epoch": 13.333333333333334, "grad_norm": 7.035764217376709, "learning_rate": 1.8518518518518518e-05, "loss": 0.4549, "step": 1200 }, { "epoch": 13.61111111111111, "grad_norm": 7.080498218536377, "learning_rate": 1.7746913580246917e-05, "loss": 0.445, "step": 1225 }, { "epoch": 13.88888888888889, "grad_norm": 5.1540937423706055, "learning_rate": 1.697530864197531e-05, "loss": 0.4418, "step": 1250 }, { "epoch": 14.0, "eval_accuracy": 0.6541501976284585, "eval_loss": 0.8596166968345642, "eval_runtime": 28.5111, "eval_samples_per_second": 35.495, "eval_steps_per_second": 0.561, "step": 1260 }, { "epoch": 14.166666666666666, "grad_norm": 4.73467493057251, "learning_rate": 1.6203703703703704e-05, "loss": 0.4534, "step": 1275 }, { "epoch": 14.444444444444445, "grad_norm": 3.350318193435669, "learning_rate": 1.54320987654321e-05, "loss": 0.4293, "step": 1300 }, { "epoch": 14.722222222222221, "grad_norm": 5.757190227508545, "learning_rate": 1.4660493827160496e-05, "loss": 0.437, "step": 1325 }, { "epoch": 15.0, "grad_norm": 10.14773178100586, "learning_rate": 1.388888888888889e-05, "loss": 0.4385, "step": 1350 }, { "epoch": 15.0, "eval_accuracy": 0.6304347826086957, "eval_loss": 0.8768613338470459, "eval_runtime": 28.9356, "eval_samples_per_second": 34.974, "eval_steps_per_second": 0.553, "step": 1350 }, { "epoch": 15.277777777777779, "grad_norm": 4.023919105529785, "learning_rate": 1.3117283950617285e-05, "loss": 0.418, "step": 1375 }, { "epoch": 15.555555555555555, "grad_norm": 5.213397026062012, "learning_rate": 1.2345679012345678e-05, "loss": 0.4343, "step": 1400 }, { "epoch": 15.833333333333334, "grad_norm": 5.7322797775268555, "learning_rate": 1.1574074074074075e-05, "loss": 0.4175, "step": 1425 }, { "epoch": 16.0, "eval_accuracy": 0.6561264822134387, "eval_loss": 0.8624676465988159, "eval_runtime": 28.9613, "eval_samples_per_second": 34.943, "eval_steps_per_second": 0.552, "step": 1440 }, { "epoch": 16.11111111111111, "grad_norm": 2.6554200649261475, "learning_rate": 1.0802469135802469e-05, "loss": 0.4027, "step": 1450 }, { "epoch": 16.38888888888889, "grad_norm": 4.859523773193359, "learning_rate": 1.0030864197530866e-05, "loss": 0.4188, "step": 1475 }, { "epoch": 16.666666666666668, "grad_norm": 6.244664669036865, "learning_rate": 9.259259259259259e-06, "loss": 0.4194, "step": 1500 }, { "epoch": 16.944444444444443, "grad_norm": 4.917417049407959, "learning_rate": 8.487654320987654e-06, "loss": 0.413, "step": 1525 }, { "epoch": 17.0, "eval_accuracy": 0.6571146245059288, "eval_loss": 0.8577585220336914, "eval_runtime": 28.9271, "eval_samples_per_second": 34.985, "eval_steps_per_second": 0.553, "step": 1530 }, { "epoch": 17.22222222222222, "grad_norm": 5.908167839050293, "learning_rate": 7.71604938271605e-06, "loss": 0.4077, "step": 1550 }, { "epoch": 17.5, "grad_norm": 4.492807388305664, "learning_rate": 6.944444444444445e-06, "loss": 0.3998, "step": 1575 }, { "epoch": 17.77777777777778, "grad_norm": 3.352818489074707, "learning_rate": 6.172839506172839e-06, "loss": 0.3973, "step": 1600 }, { "epoch": 18.0, "eval_accuracy": 0.658102766798419, "eval_loss": 0.857342541217804, "eval_runtime": 29.3279, "eval_samples_per_second": 34.506, "eval_steps_per_second": 0.546, "step": 1620 }, { "epoch": 18.055555555555557, "grad_norm": 3.0056979656219482, "learning_rate": 5.401234567901234e-06, "loss": 0.405, "step": 1625 }, { "epoch": 18.333333333333332, "grad_norm": 3.8960962295532227, "learning_rate": 4.6296296296296296e-06, "loss": 0.4028, "step": 1650 }, { "epoch": 18.61111111111111, "grad_norm": 3.9841091632843018, "learning_rate": 3.858024691358025e-06, "loss": 0.3954, "step": 1675 }, { "epoch": 18.88888888888889, "grad_norm": 3.473726749420166, "learning_rate": 3.0864197530864196e-06, "loss": 0.3964, "step": 1700 }, { "epoch": 19.0, "eval_accuracy": 0.6679841897233202, "eval_loss": 0.8549718856811523, "eval_runtime": 28.7243, "eval_samples_per_second": 35.232, "eval_steps_per_second": 0.557, "step": 1710 }, { "epoch": 19.166666666666668, "grad_norm": 3.783536672592163, "learning_rate": 2.3148148148148148e-06, "loss": 0.401, "step": 1725 }, { "epoch": 19.444444444444443, "grad_norm": 2.4962282180786133, "learning_rate": 1.5432098765432098e-06, "loss": 0.3949, "step": 1750 }, { "epoch": 19.72222222222222, "grad_norm": 5.234297752380371, "learning_rate": 7.716049382716049e-07, "loss": 0.3994, "step": 1775 }, { "epoch": 20.0, "grad_norm": 10.562817573547363, "learning_rate": 0.0, "loss": 0.4004, "step": 1800 }, { "epoch": 20.0, "eval_accuracy": 0.6403162055335968, "eval_loss": 0.8710843324661255, "eval_runtime": 28.7285, "eval_samples_per_second": 35.226, "eval_steps_per_second": 0.557, "step": 1800 }, { "epoch": 20.0, "step": 1800, "total_flos": 0.0, "train_loss": 0.6163041236665514, "train_runtime": 10385.8394, "train_samples_per_second": 11.034, "train_steps_per_second": 0.173 } ], "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 }