{ "best_metric": 0.7222222222222222, "best_model_checkpoint": "beit-base-patch16-224-hasta-55-fold4/checkpoint-87", "epoch": 57.142857142857146, "eval_steps": 500, "global_step": 100, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.5714285714285714, "eval_accuracy": 0.4444444444444444, "eval_loss": 1.250338077545166, "eval_runtime": 0.4949, "eval_samples_per_second": 72.745, "eval_steps_per_second": 4.041, "step": 1 }, { "epoch": 1.7142857142857144, "eval_accuracy": 0.4166666666666667, "eval_loss": 1.1730682849884033, "eval_runtime": 0.5091, "eval_samples_per_second": 70.719, "eval_steps_per_second": 3.929, "step": 3 }, { "epoch": 2.857142857142857, "eval_accuracy": 0.5277777777777778, "eval_loss": 1.08519446849823, "eval_runtime": 0.5213, "eval_samples_per_second": 69.053, "eval_steps_per_second": 3.836, "step": 5 }, { "epoch": 4.0, "eval_accuracy": 0.5, "eval_loss": 1.0786566734313965, "eval_runtime": 0.5105, "eval_samples_per_second": 70.517, "eval_steps_per_second": 3.918, "step": 7 }, { "epoch": 4.571428571428571, "eval_accuracy": 0.5277777777777778, "eval_loss": 1.119874358177185, "eval_runtime": 0.508, "eval_samples_per_second": 70.865, "eval_steps_per_second": 3.937, "step": 8 }, { "epoch": 5.714285714285714, "grad_norm": 8.105093955993652, "learning_rate": 5e-05, "loss": 1.0532, "step": 10 }, { "epoch": 5.714285714285714, "eval_accuracy": 0.4722222222222222, "eval_loss": 1.058439016342163, "eval_runtime": 0.503, "eval_samples_per_second": 71.568, "eval_steps_per_second": 3.976, "step": 10 }, { "epoch": 6.857142857142857, "eval_accuracy": 0.5277777777777778, "eval_loss": 1.079984426498413, "eval_runtime": 0.5018, "eval_samples_per_second": 71.749, "eval_steps_per_second": 3.986, "step": 12 }, { "epoch": 8.0, "eval_accuracy": 0.4722222222222222, "eval_loss": 1.1634804010391235, "eval_runtime": 0.5036, "eval_samples_per_second": 71.489, "eval_steps_per_second": 3.972, "step": 14 }, { "epoch": 8.571428571428571, "eval_accuracy": 0.4444444444444444, "eval_loss": 1.117082118988037, "eval_runtime": 0.5076, "eval_samples_per_second": 70.927, "eval_steps_per_second": 3.94, "step": 15 }, { "epoch": 9.714285714285714, "eval_accuracy": 0.3888888888888889, "eval_loss": 1.5253615379333496, "eval_runtime": 0.5046, "eval_samples_per_second": 71.347, "eval_steps_per_second": 3.964, "step": 17 }, { "epoch": 10.857142857142858, "eval_accuracy": 0.4444444444444444, "eval_loss": 1.1235523223876953, "eval_runtime": 0.5095, "eval_samples_per_second": 70.659, "eval_steps_per_second": 3.925, "step": 19 }, { "epoch": 11.428571428571429, "grad_norm": 16.025110244750977, "learning_rate": 4.4444444444444447e-05, "loss": 0.9087, "step": 20 }, { "epoch": 12.0, "eval_accuracy": 0.5555555555555556, "eval_loss": 1.0255379676818848, "eval_runtime": 0.5017, "eval_samples_per_second": 71.753, "eval_steps_per_second": 3.986, "step": 21 }, { "epoch": 12.571428571428571, "eval_accuracy": 0.5277777777777778, "eval_loss": 1.1108105182647705, "eval_runtime": 0.516, "eval_samples_per_second": 69.764, "eval_steps_per_second": 3.876, "step": 22 }, { "epoch": 13.714285714285714, "eval_accuracy": 0.5277777777777778, "eval_loss": 1.0364958047866821, "eval_runtime": 0.5056, "eval_samples_per_second": 71.2, "eval_steps_per_second": 3.956, "step": 24 }, { "epoch": 14.857142857142858, "eval_accuracy": 0.5, "eval_loss": 1.0637767314910889, "eval_runtime": 0.5108, "eval_samples_per_second": 70.473, "eval_steps_per_second": 3.915, "step": 26 }, { "epoch": 16.0, "eval_accuracy": 0.6111111111111112, "eval_loss": 1.109029769897461, "eval_runtime": 0.507, "eval_samples_per_second": 71.009, "eval_steps_per_second": 3.945, "step": 28 }, { "epoch": 16.571428571428573, "eval_accuracy": 0.5555555555555556, "eval_loss": 1.1166322231292725, "eval_runtime": 0.4998, "eval_samples_per_second": 72.031, "eval_steps_per_second": 4.002, "step": 29 }, { "epoch": 17.142857142857142, "grad_norm": 11.769331932067871, "learning_rate": 3.888888888888889e-05, "loss": 0.7925, "step": 30 }, { "epoch": 17.714285714285715, "eval_accuracy": 0.4722222222222222, "eval_loss": 1.0649690628051758, "eval_runtime": 0.504, "eval_samples_per_second": 71.43, "eval_steps_per_second": 3.968, "step": 31 }, { "epoch": 18.857142857142858, "eval_accuracy": 0.5555555555555556, "eval_loss": 1.3084824085235596, "eval_runtime": 0.5052, "eval_samples_per_second": 71.258, "eval_steps_per_second": 3.959, "step": 33 }, { "epoch": 20.0, "eval_accuracy": 0.5277777777777778, "eval_loss": 1.1624348163604736, "eval_runtime": 0.5109, "eval_samples_per_second": 70.462, "eval_steps_per_second": 3.915, "step": 35 }, { "epoch": 20.571428571428573, "eval_accuracy": 0.5555555555555556, "eval_loss": 0.9994204640388489, "eval_runtime": 0.5057, "eval_samples_per_second": 71.195, "eval_steps_per_second": 3.955, "step": 36 }, { "epoch": 21.714285714285715, "eval_accuracy": 0.4722222222222222, "eval_loss": 1.1053564548492432, "eval_runtime": 0.5041, "eval_samples_per_second": 71.413, "eval_steps_per_second": 3.967, "step": 38 }, { "epoch": 22.857142857142858, "grad_norm": 7.592797756195068, "learning_rate": 3.3333333333333335e-05, "loss": 0.7472, "step": 40 }, { "epoch": 22.857142857142858, "eval_accuracy": 0.5833333333333334, "eval_loss": 1.0925507545471191, "eval_runtime": 0.4991, "eval_samples_per_second": 72.127, "eval_steps_per_second": 4.007, "step": 40 }, { "epoch": 24.0, "eval_accuracy": 0.6111111111111112, "eval_loss": 1.1053681373596191, "eval_runtime": 0.5058, "eval_samples_per_second": 71.175, "eval_steps_per_second": 3.954, "step": 42 }, { "epoch": 24.571428571428573, "eval_accuracy": 0.5555555555555556, "eval_loss": 1.04859459400177, "eval_runtime": 0.5067, "eval_samples_per_second": 71.055, "eval_steps_per_second": 3.947, "step": 43 }, { "epoch": 25.714285714285715, "eval_accuracy": 0.5555555555555556, "eval_loss": 1.0454154014587402, "eval_runtime": 0.5025, "eval_samples_per_second": 71.639, "eval_steps_per_second": 3.98, "step": 45 }, { "epoch": 26.857142857142858, "eval_accuracy": 0.6388888888888888, "eval_loss": 1.0266634225845337, "eval_runtime": 0.5075, "eval_samples_per_second": 70.931, "eval_steps_per_second": 3.941, "step": 47 }, { "epoch": 28.0, "eval_accuracy": 0.6666666666666666, "eval_loss": 1.0684125423431396, "eval_runtime": 0.5046, "eval_samples_per_second": 71.346, "eval_steps_per_second": 3.964, "step": 49 }, { "epoch": 28.571428571428573, "grad_norm": 7.337016582489014, "learning_rate": 2.777777777777778e-05, "loss": 0.572, "step": 50 }, { "epoch": 28.571428571428573, "eval_accuracy": 0.6111111111111112, "eval_loss": 1.057525396347046, "eval_runtime": 0.5071, "eval_samples_per_second": 70.989, "eval_steps_per_second": 3.944, "step": 50 }, { "epoch": 29.714285714285715, "eval_accuracy": 0.5833333333333334, "eval_loss": 1.1591463088989258, "eval_runtime": 0.5037, "eval_samples_per_second": 71.472, "eval_steps_per_second": 3.971, "step": 52 }, { "epoch": 30.857142857142858, "eval_accuracy": 0.5833333333333334, "eval_loss": 1.183729648590088, "eval_runtime": 0.5163, "eval_samples_per_second": 69.722, "eval_steps_per_second": 3.873, "step": 54 }, { "epoch": 32.0, "eval_accuracy": 0.6666666666666666, "eval_loss": 1.0444092750549316, "eval_runtime": 0.5038, "eval_samples_per_second": 71.46, "eval_steps_per_second": 3.97, "step": 56 }, { "epoch": 32.57142857142857, "eval_accuracy": 0.6666666666666666, "eval_loss": 1.044967770576477, "eval_runtime": 0.508, "eval_samples_per_second": 70.871, "eval_steps_per_second": 3.937, "step": 57 }, { "epoch": 33.714285714285715, "eval_accuracy": 0.6666666666666666, "eval_loss": 1.0974643230438232, "eval_runtime": 0.4984, "eval_samples_per_second": 72.234, "eval_steps_per_second": 4.013, "step": 59 }, { "epoch": 34.285714285714285, "grad_norm": 8.1001615524292, "learning_rate": 2.2222222222222223e-05, "loss": 0.471, "step": 60 }, { "epoch": 34.857142857142854, "eval_accuracy": 0.6666666666666666, "eval_loss": 1.1130671501159668, "eval_runtime": 0.505, "eval_samples_per_second": 71.281, "eval_steps_per_second": 3.96, "step": 61 }, { "epoch": 36.0, "eval_accuracy": 0.5833333333333334, "eval_loss": 1.1204286813735962, "eval_runtime": 0.5001, "eval_samples_per_second": 71.986, "eval_steps_per_second": 3.999, "step": 63 }, { "epoch": 36.57142857142857, "eval_accuracy": 0.5833333333333334, "eval_loss": 1.099246621131897, "eval_runtime": 0.5133, "eval_samples_per_second": 70.135, "eval_steps_per_second": 3.896, "step": 64 }, { "epoch": 37.714285714285715, "eval_accuracy": 0.6388888888888888, "eval_loss": 1.0879067182540894, "eval_runtime": 0.5049, "eval_samples_per_second": 71.304, "eval_steps_per_second": 3.961, "step": 66 }, { "epoch": 38.857142857142854, "eval_accuracy": 0.6111111111111112, "eval_loss": 1.098131537437439, "eval_runtime": 0.5395, "eval_samples_per_second": 66.732, "eval_steps_per_second": 3.707, "step": 68 }, { "epoch": 40.0, "grad_norm": 9.05555534362793, "learning_rate": 1.6666666666666667e-05, "loss": 0.3896, "step": 70 }, { "epoch": 40.0, "eval_accuracy": 0.6666666666666666, "eval_loss": 1.0576390027999878, "eval_runtime": 0.5079, "eval_samples_per_second": 70.882, "eval_steps_per_second": 3.938, "step": 70 }, { "epoch": 40.57142857142857, "eval_accuracy": 0.6388888888888888, "eval_loss": 1.0612225532531738, "eval_runtime": 0.5106, "eval_samples_per_second": 70.508, "eval_steps_per_second": 3.917, "step": 71 }, { "epoch": 41.714285714285715, "eval_accuracy": 0.6666666666666666, "eval_loss": 1.1194814443588257, "eval_runtime": 0.5145, "eval_samples_per_second": 69.967, "eval_steps_per_second": 3.887, "step": 73 }, { "epoch": 42.857142857142854, "eval_accuracy": 0.6666666666666666, "eval_loss": 1.1973522901535034, "eval_runtime": 0.5092, "eval_samples_per_second": 70.697, "eval_steps_per_second": 3.928, "step": 75 }, { "epoch": 44.0, "eval_accuracy": 0.6666666666666666, "eval_loss": 1.1352990865707397, "eval_runtime": 0.5064, "eval_samples_per_second": 71.085, "eval_steps_per_second": 3.949, "step": 77 }, { "epoch": 44.57142857142857, "eval_accuracy": 0.6666666666666666, "eval_loss": 1.114302158355713, "eval_runtime": 0.5104, "eval_samples_per_second": 70.53, "eval_steps_per_second": 3.918, "step": 78 }, { "epoch": 45.714285714285715, "grad_norm": 9.793930053710938, "learning_rate": 1.1111111111111112e-05, "loss": 0.3775, "step": 80 }, { "epoch": 45.714285714285715, "eval_accuracy": 0.6666666666666666, "eval_loss": 1.105540156364441, "eval_runtime": 0.5086, "eval_samples_per_second": 70.788, "eval_steps_per_second": 3.933, "step": 80 }, { "epoch": 46.857142857142854, "eval_accuracy": 0.6666666666666666, "eval_loss": 1.1997466087341309, "eval_runtime": 0.5316, "eval_samples_per_second": 67.716, "eval_steps_per_second": 3.762, "step": 82 }, { "epoch": 48.0, "eval_accuracy": 0.6666666666666666, "eval_loss": 1.3267438411712646, "eval_runtime": 0.5066, "eval_samples_per_second": 71.055, "eval_steps_per_second": 3.948, "step": 84 }, { "epoch": 48.57142857142857, "eval_accuracy": 0.6666666666666666, "eval_loss": 1.302685022354126, "eval_runtime": 0.5007, "eval_samples_per_second": 71.896, "eval_steps_per_second": 3.994, "step": 85 }, { "epoch": 49.714285714285715, "eval_accuracy": 0.7222222222222222, "eval_loss": 1.1592612266540527, "eval_runtime": 0.5068, "eval_samples_per_second": 71.034, "eval_steps_per_second": 3.946, "step": 87 }, { "epoch": 50.857142857142854, "eval_accuracy": 0.6111111111111112, "eval_loss": 1.097033143043518, "eval_runtime": 0.5092, "eval_samples_per_second": 70.706, "eval_steps_per_second": 3.928, "step": 89 }, { "epoch": 51.42857142857143, "grad_norm": 7.551269054412842, "learning_rate": 5.555555555555556e-06, "loss": 0.3623, "step": 90 }, { "epoch": 52.0, "eval_accuracy": 0.6111111111111112, "eval_loss": 1.0902420282363892, "eval_runtime": 0.5309, "eval_samples_per_second": 67.809, "eval_steps_per_second": 3.767, "step": 91 }, { "epoch": 52.57142857142857, "eval_accuracy": 0.6111111111111112, "eval_loss": 1.0907739400863647, "eval_runtime": 0.5094, "eval_samples_per_second": 70.667, "eval_steps_per_second": 3.926, "step": 92 }, { "epoch": 53.714285714285715, "eval_accuracy": 0.6388888888888888, "eval_loss": 1.1213774681091309, "eval_runtime": 0.5019, "eval_samples_per_second": 71.726, "eval_steps_per_second": 3.985, "step": 94 }, { "epoch": 54.857142857142854, "eval_accuracy": 0.6944444444444444, "eval_loss": 1.1691011190414429, "eval_runtime": 0.5009, "eval_samples_per_second": 71.877, "eval_steps_per_second": 3.993, "step": 96 }, { "epoch": 56.0, "eval_accuracy": 0.6666666666666666, "eval_loss": 1.1913933753967285, "eval_runtime": 0.5224, "eval_samples_per_second": 68.909, "eval_steps_per_second": 3.828, "step": 98 }, { "epoch": 56.57142857142857, "eval_accuracy": 0.6666666666666666, "eval_loss": 1.1948727369308472, "eval_runtime": 0.5073, "eval_samples_per_second": 70.97, "eval_steps_per_second": 3.943, "step": 99 }, { "epoch": 57.142857142857146, "grad_norm": 7.683139801025391, "learning_rate": 0.0, "loss": 0.3455, "step": 100 }, { "epoch": 57.142857142857146, "eval_accuracy": 0.6666666666666666, "eval_loss": 1.1951266527175903, "eval_runtime": 0.5088, "eval_samples_per_second": 70.76, "eval_steps_per_second": 3.931, "step": 100 }, { "epoch": 57.142857142857146, "step": 100, "total_flos": 8.766873360020644e+17, "train_loss": 0.6019677090644836, "train_runtime": 552.2645, "train_samples_per_second": 35.852, "train_steps_per_second": 0.181 }, { "epoch": 57.142857142857146, "eval_accuracy": 0.7222222222222222, "eval_loss": 1.1592612266540527, "eval_runtime": 0.602, "eval_samples_per_second": 59.796, "eval_steps_per_second": 3.322, "step": 100 } ], "logging_steps": 10, "max_steps": 100, "num_input_tokens_seen": 0, "num_train_epochs": 100, "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": 8.766873360020644e+17, "train_batch_size": 32, "trial_name": null, "trial_params": null }