{ "best_metric": 0.39285714285714285, "best_model_checkpoint": "vit-base-patch16-224-for-pre_evaluation/checkpoint-308", "epoch": 29.53846153846154, "eval_steps": 500, "global_step": 480, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.62, "learning_rate": 1.0416666666666668e-05, "loss": 1.5774, "step": 10 }, { "epoch": 0.98, "eval_accuracy": 0.3021978021978022, "eval_loss": 1.510853886604309, "eval_runtime": 6.2821, "eval_samples_per_second": 57.943, "eval_steps_per_second": 1.91, "step": 16 }, { "epoch": 1.23, "learning_rate": 2.0833333333333336e-05, "loss": 1.5237, "step": 20 }, { "epoch": 1.85, "learning_rate": 3.125e-05, "loss": 1.4794, "step": 30 }, { "epoch": 1.97, "eval_accuracy": 0.3241758241758242, "eval_loss": 1.494186282157898, "eval_runtime": 6.3421, "eval_samples_per_second": 57.395, "eval_steps_per_second": 1.892, "step": 32 }, { "epoch": 2.46, "learning_rate": 4.166666666666667e-05, "loss": 1.4536, "step": 40 }, { "epoch": 2.95, "eval_accuracy": 0.31868131868131866, "eval_loss": 1.4943327903747559, "eval_runtime": 5.7214, "eval_samples_per_second": 63.621, "eval_steps_per_second": 2.097, "step": 48 }, { "epoch": 3.08, "learning_rate": 4.976851851851852e-05, "loss": 1.4643, "step": 50 }, { "epoch": 3.69, "learning_rate": 4.8611111111111115e-05, "loss": 1.421, "step": 60 }, { "epoch": 4.0, "eval_accuracy": 0.34065934065934067, "eval_loss": 1.4246565103530884, "eval_runtime": 5.9355, "eval_samples_per_second": 61.326, "eval_steps_per_second": 2.022, "step": 65 }, { "epoch": 4.31, "learning_rate": 4.745370370370371e-05, "loss": 1.4268, "step": 70 }, { "epoch": 4.92, "learning_rate": 4.62962962962963e-05, "loss": 1.3882, "step": 80 }, { "epoch": 4.98, "eval_accuracy": 0.34615384615384615, "eval_loss": 1.4944226741790771, "eval_runtime": 6.3968, "eval_samples_per_second": 56.903, "eval_steps_per_second": 1.876, "step": 81 }, { "epoch": 5.54, "learning_rate": 4.5138888888888894e-05, "loss": 1.3579, "step": 90 }, { "epoch": 5.97, "eval_accuracy": 0.35714285714285715, "eval_loss": 1.4180346727371216, "eval_runtime": 6.5996, "eval_samples_per_second": 55.154, "eval_steps_per_second": 1.818, "step": 97 }, { "epoch": 6.15, "learning_rate": 4.3981481481481486e-05, "loss": 1.3075, "step": 100 }, { "epoch": 6.77, "learning_rate": 4.282407407407408e-05, "loss": 1.2838, "step": 110 }, { "epoch": 6.95, "eval_accuracy": 0.36813186813186816, "eval_loss": 1.4692732095718384, "eval_runtime": 5.8126, "eval_samples_per_second": 62.623, "eval_steps_per_second": 2.064, "step": 113 }, { "epoch": 7.38, "learning_rate": 4.166666666666667e-05, "loss": 1.2877, "step": 120 }, { "epoch": 8.0, "learning_rate": 4.0509259259259265e-05, "loss": 1.2695, "step": 130 }, { "epoch": 8.0, "eval_accuracy": 0.3434065934065934, "eval_loss": 1.4359365701675415, "eval_runtime": 5.7907, "eval_samples_per_second": 62.859, "eval_steps_per_second": 2.072, "step": 130 }, { "epoch": 8.62, "learning_rate": 3.935185185185186e-05, "loss": 1.2016, "step": 140 }, { "epoch": 8.98, "eval_accuracy": 0.3598901098901099, "eval_loss": 1.4656463861465454, "eval_runtime": 6.0359, "eval_samples_per_second": 60.306, "eval_steps_per_second": 1.988, "step": 146 }, { "epoch": 9.23, "learning_rate": 3.8194444444444444e-05, "loss": 1.2361, "step": 150 }, { "epoch": 9.85, "learning_rate": 3.7037037037037037e-05, "loss": 1.2087, "step": 160 }, { "epoch": 9.97, "eval_accuracy": 0.33791208791208793, "eval_loss": 1.4549881219863892, "eval_runtime": 6.5216, "eval_samples_per_second": 55.814, "eval_steps_per_second": 1.84, "step": 162 }, { "epoch": 10.46, "learning_rate": 3.587962962962963e-05, "loss": 1.206, "step": 170 }, { "epoch": 10.95, "eval_accuracy": 0.3516483516483517, "eval_loss": 1.5055769681930542, "eval_runtime": 5.8519, "eval_samples_per_second": 62.202, "eval_steps_per_second": 2.051, "step": 178 }, { "epoch": 11.08, "learning_rate": 3.472222222222222e-05, "loss": 1.1296, "step": 180 }, { "epoch": 11.69, "learning_rate": 3.3564814814814815e-05, "loss": 1.1236, "step": 190 }, { "epoch": 12.0, "eval_accuracy": 0.3434065934065934, "eval_loss": 1.5003132820129395, "eval_runtime": 6.3872, "eval_samples_per_second": 56.989, "eval_steps_per_second": 1.879, "step": 195 }, { "epoch": 12.31, "learning_rate": 3.240740740740741e-05, "loss": 1.0955, "step": 200 }, { "epoch": 12.92, "learning_rate": 3.125e-05, "loss": 1.0534, "step": 210 }, { "epoch": 12.98, "eval_accuracy": 0.3269230769230769, "eval_loss": 1.5192676782608032, "eval_runtime": 6.8957, "eval_samples_per_second": 52.786, "eval_steps_per_second": 1.74, "step": 211 }, { "epoch": 13.54, "learning_rate": 3.0092592592592593e-05, "loss": 1.0024, "step": 220 }, { "epoch": 13.97, "eval_accuracy": 0.36813186813186816, "eval_loss": 1.4890482425689697, "eval_runtime": 5.7451, "eval_samples_per_second": 63.358, "eval_steps_per_second": 2.089, "step": 227 }, { "epoch": 14.15, "learning_rate": 2.8935185185185186e-05, "loss": 0.9924, "step": 230 }, { "epoch": 14.77, "learning_rate": 2.777777777777778e-05, "loss": 0.9767, "step": 240 }, { "epoch": 14.95, "eval_accuracy": 0.3434065934065934, "eval_loss": 1.5628184080123901, "eval_runtime": 6.5373, "eval_samples_per_second": 55.68, "eval_steps_per_second": 1.836, "step": 243 }, { "epoch": 15.38, "learning_rate": 2.6620370370370372e-05, "loss": 0.9337, "step": 250 }, { "epoch": 16.0, "learning_rate": 2.5462962962962965e-05, "loss": 0.9201, "step": 260 }, { "epoch": 16.0, "eval_accuracy": 0.3516483516483517, "eval_loss": 1.6305893659591675, "eval_runtime": 6.6234, "eval_samples_per_second": 54.957, "eval_steps_per_second": 1.812, "step": 260 }, { "epoch": 16.62, "learning_rate": 2.4305555555555558e-05, "loss": 0.9136, "step": 270 }, { "epoch": 16.98, "eval_accuracy": 0.3626373626373626, "eval_loss": 1.5715110301971436, "eval_runtime": 5.8274, "eval_samples_per_second": 62.463, "eval_steps_per_second": 2.059, "step": 276 }, { "epoch": 17.23, "learning_rate": 2.314814814814815e-05, "loss": 0.8228, "step": 280 }, { "epoch": 17.85, "learning_rate": 2.1990740740740743e-05, "loss": 0.8566, "step": 290 }, { "epoch": 17.97, "eval_accuracy": 0.36538461538461536, "eval_loss": 1.5965826511383057, "eval_runtime": 5.8771, "eval_samples_per_second": 61.935, "eval_steps_per_second": 2.042, "step": 292 }, { "epoch": 18.46, "learning_rate": 2.0833333333333336e-05, "loss": 0.8273, "step": 300 }, { "epoch": 18.95, "eval_accuracy": 0.39285714285714285, "eval_loss": 1.604812502861023, "eval_runtime": 6.2505, "eval_samples_per_second": 58.235, "eval_steps_per_second": 1.92, "step": 308 }, { "epoch": 19.08, "learning_rate": 1.967592592592593e-05, "loss": 0.8217, "step": 310 }, { "epoch": 19.69, "learning_rate": 1.8518518518518518e-05, "loss": 0.7825, "step": 320 }, { "epoch": 20.0, "eval_accuracy": 0.38461538461538464, "eval_loss": 1.6174668073654175, "eval_runtime": 5.8325, "eval_samples_per_second": 62.409, "eval_steps_per_second": 2.057, "step": 325 }, { "epoch": 20.31, "learning_rate": 1.736111111111111e-05, "loss": 0.8128, "step": 330 }, { "epoch": 20.92, "learning_rate": 1.6203703703703704e-05, "loss": 0.736, "step": 340 }, { "epoch": 20.98, "eval_accuracy": 0.39285714285714285, "eval_loss": 1.652581810951233, "eval_runtime": 6.2966, "eval_samples_per_second": 57.809, "eval_steps_per_second": 1.906, "step": 341 }, { "epoch": 21.54, "learning_rate": 1.5046296296296297e-05, "loss": 0.7008, "step": 350 }, { "epoch": 21.97, "eval_accuracy": 0.37362637362637363, "eval_loss": 1.65627920627594, "eval_runtime": 6.0612, "eval_samples_per_second": 60.054, "eval_steps_per_second": 1.98, "step": 357 }, { "epoch": 22.15, "learning_rate": 1.388888888888889e-05, "loss": 0.7074, "step": 360 }, { "epoch": 22.77, "learning_rate": 1.2731481481481482e-05, "loss": 0.6714, "step": 370 }, { "epoch": 22.95, "eval_accuracy": 0.3901098901098901, "eval_loss": 1.7319426536560059, "eval_runtime": 6.3113, "eval_samples_per_second": 57.674, "eval_steps_per_second": 1.901, "step": 373 }, { "epoch": 23.38, "learning_rate": 1.1574074074074075e-05, "loss": 0.6723, "step": 380 }, { "epoch": 24.0, "learning_rate": 1.0416666666666668e-05, "loss": 0.7039, "step": 390 }, { "epoch": 24.0, "eval_accuracy": 0.39285714285714285, "eval_loss": 1.686637282371521, "eval_runtime": 5.7311, "eval_samples_per_second": 63.514, "eval_steps_per_second": 2.094, "step": 390 }, { "epoch": 24.62, "learning_rate": 9.259259259259259e-06, "loss": 0.628, "step": 400 }, { "epoch": 24.98, "eval_accuracy": 0.3791208791208791, "eval_loss": 1.7022507190704346, "eval_runtime": 5.7107, "eval_samples_per_second": 63.74, "eval_steps_per_second": 2.101, "step": 406 }, { "epoch": 25.23, "learning_rate": 8.101851851851852e-06, "loss": 0.6386, "step": 410 }, { "epoch": 25.85, "learning_rate": 6.944444444444445e-06, "loss": 0.6182, "step": 420 }, { "epoch": 25.97, "eval_accuracy": 0.3901098901098901, "eval_loss": 1.7301020622253418, "eval_runtime": 5.9062, "eval_samples_per_second": 61.63, "eval_steps_per_second": 2.032, "step": 422 }, { "epoch": 26.46, "learning_rate": 5.787037037037038e-06, "loss": 0.5957, "step": 430 }, { "epoch": 26.95, "eval_accuracy": 0.38461538461538464, "eval_loss": 1.7156624794006348, "eval_runtime": 6.0021, "eval_samples_per_second": 60.646, "eval_steps_per_second": 1.999, "step": 438 }, { "epoch": 27.08, "learning_rate": 4.6296296296296296e-06, "loss": 0.595, "step": 440 }, { "epoch": 27.69, "learning_rate": 3.4722222222222224e-06, "loss": 0.5973, "step": 450 }, { "epoch": 28.0, "eval_accuracy": 0.3708791208791209, "eval_loss": 1.7478266954421997, "eval_runtime": 6.4181, "eval_samples_per_second": 56.715, "eval_steps_per_second": 1.87, "step": 455 }, { "epoch": 28.31, "learning_rate": 2.3148148148148148e-06, "loss": 0.5767, "step": 460 }, { "epoch": 28.92, "learning_rate": 1.1574074074074074e-06, "loss": 0.5655, "step": 470 }, { "epoch": 28.98, "eval_accuracy": 0.37362637362637363, "eval_loss": 1.7376786470413208, "eval_runtime": 5.7918, "eval_samples_per_second": 62.847, "eval_steps_per_second": 2.072, "step": 471 }, { "epoch": 29.54, "learning_rate": 0.0, "loss": 0.5631, "step": 480 }, { "epoch": 29.54, "eval_accuracy": 0.37362637362637363, "eval_loss": 1.737407922744751, "eval_runtime": 6.3261, "eval_samples_per_second": 57.54, "eval_steps_per_second": 1.897, "step": 480 }, { "epoch": 29.54, "step": 480, "total_flos": 4.691568687003814e+18, "train_loss": 0.9943243801593781, "train_runtime": 2664.7299, "train_samples_per_second": 23.068, "train_steps_per_second": 0.18 } ], "logging_steps": 10, "max_steps": 480, "num_train_epochs": 30, "save_steps": 500, "total_flos": 4.691568687003814e+18, "trial_name": null, "trial_params": null }