{ "best_metric": 0.35135135135135137, "best_model_checkpoint": "vivit-b-16x2-kinetics400-finetuned-ucf101-subset-without-pretrained/checkpoint-1200", "epoch": 3.25, "eval_steps": 500, "global_step": 1200, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.01, "learning_rate": 4.166666666666667e-06, "loss": 6.0507, "step": 10 }, { "epoch": 0.02, "learning_rate": 8.333333333333334e-06, "loss": 5.1227, "step": 20 }, { "epoch": 0.03, "learning_rate": 1.25e-05, "loss": 5.3799, "step": 30 }, { "epoch": 0.03, "learning_rate": 1.6666666666666667e-05, "loss": 4.4165, "step": 40 }, { "epoch": 0.04, "learning_rate": 2.0833333333333336e-05, "loss": 4.0944, "step": 50 }, { "epoch": 0.05, "learning_rate": 2.5e-05, "loss": 3.935, "step": 60 }, { "epoch": 0.06, "learning_rate": 2.916666666666667e-05, "loss": 3.1094, "step": 70 }, { "epoch": 0.07, "learning_rate": 3.3333333333333335e-05, "loss": 3.8124, "step": 80 }, { "epoch": 0.07, "learning_rate": 3.7500000000000003e-05, "loss": 2.8153, "step": 90 }, { "epoch": 0.08, "learning_rate": 4.166666666666667e-05, "loss": 3.5982, "step": 100 }, { "epoch": 0.09, "learning_rate": 4.5833333333333334e-05, "loss": 3.0482, "step": 110 }, { "epoch": 0.1, "learning_rate": 5e-05, "loss": 3.1105, "step": 120 }, { "epoch": 0.11, "learning_rate": 4.9537037037037035e-05, "loss": 2.6555, "step": 130 }, { "epoch": 0.12, "learning_rate": 4.9074074074074075e-05, "loss": 2.4942, "step": 140 }, { "epoch": 0.12, "learning_rate": 4.8611111111111115e-05, "loss": 2.2091, "step": 150 }, { "epoch": 0.13, "learning_rate": 4.814814814814815e-05, "loss": 2.3341, "step": 160 }, { "epoch": 0.14, "learning_rate": 4.768518518518519e-05, "loss": 3.136, "step": 170 }, { "epoch": 0.15, "learning_rate": 4.722222222222222e-05, "loss": 3.1267, "step": 180 }, { "epoch": 0.16, "learning_rate": 4.675925925925926e-05, "loss": 2.1749, "step": 190 }, { "epoch": 0.17, "learning_rate": 4.62962962962963e-05, "loss": 2.7431, "step": 200 }, { "epoch": 0.17, "learning_rate": 4.5833333333333334e-05, "loss": 4.1859, "step": 210 }, { "epoch": 0.18, "learning_rate": 4.5370370370370374e-05, "loss": 2.4884, "step": 220 }, { "epoch": 0.19, "learning_rate": 4.490740740740741e-05, "loss": 2.6813, "step": 230 }, { "epoch": 0.2, "learning_rate": 4.4444444444444447e-05, "loss": 2.7271, "step": 240 }, { "epoch": 0.21, "learning_rate": 4.3981481481481486e-05, "loss": 2.6526, "step": 250 }, { "epoch": 0.22, "learning_rate": 4.351851851851852e-05, "loss": 1.684, "step": 260 }, { "epoch": 0.23, "learning_rate": 4.305555555555556e-05, "loss": 2.5616, "step": 270 }, { "epoch": 0.23, "learning_rate": 4.259259259259259e-05, "loss": 2.5468, "step": 280 }, { "epoch": 0.24, "learning_rate": 4.212962962962963e-05, "loss": 2.2534, "step": 290 }, { "epoch": 0.25, "learning_rate": 4.166666666666667e-05, "loss": 2.8108, "step": 300 }, { "epoch": 0.25, "eval_accuracy": 0.16216216216216217, "eval_loss": 2.4264731407165527, "eval_runtime": 9.8082, "eval_samples_per_second": 3.772, "eval_steps_per_second": 3.772, "step": 300 }, { "epoch": 1.01, "learning_rate": 4.1203703703703705e-05, "loss": 1.8148, "step": 310 }, { "epoch": 1.02, "learning_rate": 4.074074074074074e-05, "loss": 2.7365, "step": 320 }, { "epoch": 1.02, "learning_rate": 4.027777777777778e-05, "loss": 2.9229, "step": 330 }, { "epoch": 1.03, "learning_rate": 3.981481481481482e-05, "loss": 2.8199, "step": 340 }, { "epoch": 1.04, "learning_rate": 3.935185185185186e-05, "loss": 1.9582, "step": 350 }, { "epoch": 1.05, "learning_rate": 3.888888888888889e-05, "loss": 2.1509, "step": 360 }, { "epoch": 1.06, "learning_rate": 3.8425925925925924e-05, "loss": 1.9543, "step": 370 }, { "epoch": 1.07, "learning_rate": 3.7962962962962964e-05, "loss": 2.6913, "step": 380 }, { "epoch": 1.07, "learning_rate": 3.7500000000000003e-05, "loss": 2.9787, "step": 390 }, { "epoch": 1.08, "learning_rate": 3.7037037037037037e-05, "loss": 2.8233, "step": 400 }, { "epoch": 1.09, "learning_rate": 3.6574074074074076e-05, "loss": 2.1148, "step": 410 }, { "epoch": 1.1, "learning_rate": 3.611111111111111e-05, "loss": 2.2275, "step": 420 }, { "epoch": 1.11, "learning_rate": 3.564814814814815e-05, "loss": 1.7524, "step": 430 }, { "epoch": 1.12, "learning_rate": 3.518518518518519e-05, "loss": 2.2017, "step": 440 }, { "epoch": 1.12, "learning_rate": 3.472222222222222e-05, "loss": 2.202, "step": 450 }, { "epoch": 1.13, "learning_rate": 3.425925925925926e-05, "loss": 2.2568, "step": 460 }, { "epoch": 1.14, "learning_rate": 3.3796296296296295e-05, "loss": 2.4412, "step": 470 }, { "epoch": 1.15, "learning_rate": 3.3333333333333335e-05, "loss": 1.9082, "step": 480 }, { "epoch": 1.16, "learning_rate": 3.2870370370370375e-05, "loss": 2.1291, "step": 490 }, { "epoch": 1.17, "learning_rate": 3.240740740740741e-05, "loss": 2.3288, "step": 500 }, { "epoch": 1.18, "learning_rate": 3.194444444444444e-05, "loss": 2.5053, "step": 510 }, { "epoch": 1.18, "learning_rate": 3.148148148148148e-05, "loss": 1.9949, "step": 520 }, { "epoch": 1.19, "learning_rate": 3.101851851851852e-05, "loss": 2.0243, "step": 530 }, { "epoch": 1.2, "learning_rate": 3.055555555555556e-05, "loss": 1.9068, "step": 540 }, { "epoch": 1.21, "learning_rate": 3.0092592592592593e-05, "loss": 2.1791, "step": 550 }, { "epoch": 1.22, "learning_rate": 2.962962962962963e-05, "loss": 1.8557, "step": 560 }, { "epoch": 1.23, "learning_rate": 2.916666666666667e-05, "loss": 2.6166, "step": 570 }, { "epoch": 1.23, "learning_rate": 2.8703703703703706e-05, "loss": 1.981, "step": 580 }, { "epoch": 1.24, "learning_rate": 2.824074074074074e-05, "loss": 1.6169, "step": 590 }, { "epoch": 1.25, "learning_rate": 2.777777777777778e-05, "loss": 2.5955, "step": 600 }, { "epoch": 1.25, "eval_accuracy": 0.13513513513513514, "eval_loss": 2.2180917263031006, "eval_runtime": 9.7602, "eval_samples_per_second": 3.791, "eval_steps_per_second": 3.791, "step": 600 }, { "epoch": 2.01, "learning_rate": 2.7314814814814816e-05, "loss": 2.4131, "step": 610 }, { "epoch": 2.02, "learning_rate": 2.6851851851851855e-05, "loss": 1.8115, "step": 620 }, { "epoch": 2.02, "learning_rate": 2.6388888888888892e-05, "loss": 2.5239, "step": 630 }, { "epoch": 2.03, "learning_rate": 2.5925925925925925e-05, "loss": 2.0357, "step": 640 }, { "epoch": 2.04, "learning_rate": 2.5462962962962965e-05, "loss": 2.0055, "step": 650 }, { "epoch": 2.05, "learning_rate": 2.5e-05, "loss": 1.7003, "step": 660 }, { "epoch": 2.06, "learning_rate": 2.4537037037037038e-05, "loss": 2.1512, "step": 670 }, { "epoch": 2.07, "learning_rate": 2.4074074074074074e-05, "loss": 2.3628, "step": 680 }, { "epoch": 2.08, "learning_rate": 2.361111111111111e-05, "loss": 1.5812, "step": 690 }, { "epoch": 2.08, "learning_rate": 2.314814814814815e-05, "loss": 1.7642, "step": 700 }, { "epoch": 2.09, "learning_rate": 2.2685185185185187e-05, "loss": 2.1108, "step": 710 }, { "epoch": 2.1, "learning_rate": 2.2222222222222223e-05, "loss": 1.9476, "step": 720 }, { "epoch": 2.11, "learning_rate": 2.175925925925926e-05, "loss": 2.2292, "step": 730 }, { "epoch": 2.12, "learning_rate": 2.1296296296296296e-05, "loss": 1.8725, "step": 740 }, { "epoch": 2.12, "learning_rate": 2.0833333333333336e-05, "loss": 1.6058, "step": 750 }, { "epoch": 2.13, "learning_rate": 2.037037037037037e-05, "loss": 2.1164, "step": 760 }, { "epoch": 2.14, "learning_rate": 1.990740740740741e-05, "loss": 1.8633, "step": 770 }, { "epoch": 2.15, "learning_rate": 1.9444444444444445e-05, "loss": 1.5445, "step": 780 }, { "epoch": 2.16, "learning_rate": 1.8981481481481482e-05, "loss": 1.8847, "step": 790 }, { "epoch": 2.17, "learning_rate": 1.8518518518518518e-05, "loss": 1.4885, "step": 800 }, { "epoch": 2.17, "learning_rate": 1.8055555555555555e-05, "loss": 1.8776, "step": 810 }, { "epoch": 2.18, "learning_rate": 1.7592592592592595e-05, "loss": 1.8485, "step": 820 }, { "epoch": 2.19, "learning_rate": 1.712962962962963e-05, "loss": 2.1993, "step": 830 }, { "epoch": 2.2, "learning_rate": 1.6666666666666667e-05, "loss": 2.0281, "step": 840 }, { "epoch": 2.21, "learning_rate": 1.6203703703703704e-05, "loss": 1.7665, "step": 850 }, { "epoch": 2.22, "learning_rate": 1.574074074074074e-05, "loss": 1.8035, "step": 860 }, { "epoch": 2.23, "learning_rate": 1.527777777777778e-05, "loss": 2.0851, "step": 870 }, { "epoch": 2.23, "learning_rate": 1.4814814814814815e-05, "loss": 2.0301, "step": 880 }, { "epoch": 2.24, "learning_rate": 1.4351851851851853e-05, "loss": 2.286, "step": 890 }, { "epoch": 2.25, "learning_rate": 1.388888888888889e-05, "loss": 1.5744, "step": 900 }, { "epoch": 2.25, "eval_accuracy": 0.2972972972972973, "eval_loss": 2.32218074798584, "eval_runtime": 9.9364, "eval_samples_per_second": 3.724, "eval_steps_per_second": 3.724, "step": 900 }, { "epoch": 3.01, "learning_rate": 1.3425925925925928e-05, "loss": 1.8515, "step": 910 }, { "epoch": 3.02, "learning_rate": 1.2962962962962962e-05, "loss": 1.5024, "step": 920 }, { "epoch": 3.02, "learning_rate": 1.25e-05, "loss": 1.6205, "step": 930 }, { "epoch": 3.03, "learning_rate": 1.2037037037037037e-05, "loss": 1.756, "step": 940 }, { "epoch": 3.04, "learning_rate": 1.1574074074074075e-05, "loss": 1.6808, "step": 950 }, { "epoch": 3.05, "learning_rate": 1.1111111111111112e-05, "loss": 1.7203, "step": 960 }, { "epoch": 3.06, "learning_rate": 1.0648148148148148e-05, "loss": 1.7485, "step": 970 }, { "epoch": 3.07, "learning_rate": 1.0185185185185185e-05, "loss": 1.2808, "step": 980 }, { "epoch": 3.08, "learning_rate": 9.722222222222223e-06, "loss": 1.8201, "step": 990 }, { "epoch": 3.08, "learning_rate": 9.259259259259259e-06, "loss": 1.7245, "step": 1000 }, { "epoch": 3.09, "learning_rate": 8.796296296296297e-06, "loss": 1.5939, "step": 1010 }, { "epoch": 3.1, "learning_rate": 8.333333333333334e-06, "loss": 2.4791, "step": 1020 }, { "epoch": 3.11, "learning_rate": 7.87037037037037e-06, "loss": 1.7659, "step": 1030 }, { "epoch": 3.12, "learning_rate": 7.4074074074074075e-06, "loss": 1.8667, "step": 1040 }, { "epoch": 3.12, "learning_rate": 6.944444444444445e-06, "loss": 1.7532, "step": 1050 }, { "epoch": 3.13, "learning_rate": 6.481481481481481e-06, "loss": 1.955, "step": 1060 }, { "epoch": 3.14, "learning_rate": 6.0185185185185185e-06, "loss": 1.3113, "step": 1070 }, { "epoch": 3.15, "learning_rate": 5.555555555555556e-06, "loss": 1.6229, "step": 1080 }, { "epoch": 3.16, "learning_rate": 5.092592592592592e-06, "loss": 1.528, "step": 1090 }, { "epoch": 3.17, "learning_rate": 4.6296296296296296e-06, "loss": 1.3243, "step": 1100 }, { "epoch": 3.17, "learning_rate": 4.166666666666667e-06, "loss": 1.6464, "step": 1110 }, { "epoch": 3.18, "learning_rate": 3.7037037037037037e-06, "loss": 1.8068, "step": 1120 }, { "epoch": 3.19, "learning_rate": 3.2407407407407406e-06, "loss": 1.4424, "step": 1130 }, { "epoch": 3.2, "learning_rate": 2.777777777777778e-06, "loss": 2.2751, "step": 1140 }, { "epoch": 3.21, "learning_rate": 2.3148148148148148e-06, "loss": 1.9845, "step": 1150 }, { "epoch": 3.22, "learning_rate": 1.8518518518518519e-06, "loss": 2.0046, "step": 1160 }, { "epoch": 3.23, "learning_rate": 1.388888888888889e-06, "loss": 1.9218, "step": 1170 }, { "epoch": 3.23, "learning_rate": 9.259259259259259e-07, "loss": 1.8508, "step": 1180 }, { "epoch": 3.24, "learning_rate": 4.6296296296296297e-07, "loss": 1.2199, "step": 1190 }, { "epoch": 3.25, "learning_rate": 0.0, "loss": 1.9863, "step": 1200 }, { "epoch": 3.25, "eval_accuracy": 0.35135135135135137, "eval_loss": 2.1377880573272705, "eval_runtime": 9.8941, "eval_samples_per_second": 3.74, "eval_steps_per_second": 3.74, "step": 1200 }, { "epoch": 3.25, "step": 1200, "total_flos": 3.0850716008448e+18, "train_loss": 2.285027635097504, "train_runtime": 686.1005, "train_samples_per_second": 1.749, "train_steps_per_second": 1.749 }, { "epoch": 3.25, "eval_accuracy": 0.27586206896551724, "eval_loss": 2.1027634143829346, "eval_runtime": 22.8546, "eval_samples_per_second": 3.807, "eval_steps_per_second": 3.807, "step": 1200 }, { "epoch": 3.25, "eval_accuracy": 0.27586206896551724, "eval_loss": 2.1027631759643555, "eval_runtime": 22.8402, "eval_samples_per_second": 3.809, "eval_steps_per_second": 3.809, "step": 1200 } ], "logging_steps": 10, "max_steps": 1200, "num_train_epochs": 9223372036854775807, "save_steps": 500, "total_flos": 3.0850716008448e+18, "trial_name": null, "trial_params": null }