| { | |
| "best_metric": 0.9844559585492227, | |
| "best_model_checkpoint": "videomae-base-finetuned-soccer-action-recognitionx4/checkpoint-960", | |
| "epoch": 39.02066666666666, | |
| "eval_steps": 500, | |
| "global_step": 1125, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.02, | |
| "eval_accuracy": 0.37823834196891193, | |
| "eval_loss": 1.3255189657211304, | |
| "eval_runtime": 88.7594, | |
| "eval_samples_per_second": 2.174, | |
| "eval_steps_per_second": 0.552, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "eval_accuracy": 0.5751295336787565, | |
| "eval_loss": 0.9903116822242737, | |
| "eval_runtime": 34.7202, | |
| "eval_samples_per_second": 5.559, | |
| "eval_steps_per_second": 1.411, | |
| "step": 56 | |
| }, | |
| { | |
| "epoch": 2.02, | |
| "learning_rate": 1.4159292035398232e-05, | |
| "loss": 1.1078, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 2.02, | |
| "eval_accuracy": 0.8238341968911918, | |
| "eval_loss": 0.46475353837013245, | |
| "eval_runtime": 33.6288, | |
| "eval_samples_per_second": 5.739, | |
| "eval_steps_per_second": 1.457, | |
| "step": 84 | |
| }, | |
| { | |
| "epoch": 3.03, | |
| "eval_accuracy": 0.8341968911917098, | |
| "eval_loss": 0.4074859917163849, | |
| "eval_runtime": 33.5102, | |
| "eval_samples_per_second": 5.759, | |
| "eval_steps_per_second": 1.462, | |
| "step": 113 | |
| }, | |
| { | |
| "epoch": 4.02, | |
| "eval_accuracy": 0.927461139896373, | |
| "eval_loss": 0.23006045818328857, | |
| "eval_runtime": 34.0136, | |
| "eval_samples_per_second": 5.674, | |
| "eval_steps_per_second": 1.441, | |
| "step": 141 | |
| }, | |
| { | |
| "epoch": 5.02, | |
| "learning_rate": 1.907114624505929e-05, | |
| "loss": 0.2591, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 5.02, | |
| "eval_accuracy": 0.8549222797927462, | |
| "eval_loss": 0.4089970588684082, | |
| "eval_runtime": 33.9545, | |
| "eval_samples_per_second": 5.684, | |
| "eval_steps_per_second": 1.443, | |
| "step": 169 | |
| }, | |
| { | |
| "epoch": 6.02, | |
| "eval_accuracy": 0.9481865284974094, | |
| "eval_loss": 0.1527147889137268, | |
| "eval_runtime": 34.2304, | |
| "eval_samples_per_second": 5.638, | |
| "eval_steps_per_second": 1.431, | |
| "step": 197 | |
| }, | |
| { | |
| "epoch": 7.03, | |
| "eval_accuracy": 0.9585492227979274, | |
| "eval_loss": 0.14126576483249664, | |
| "eval_runtime": 34.1805, | |
| "eval_samples_per_second": 5.646, | |
| "eval_steps_per_second": 1.434, | |
| "step": 226 | |
| }, | |
| { | |
| "epoch": 8.01, | |
| "learning_rate": 1.74901185770751e-05, | |
| "loss": 0.111, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 8.02, | |
| "eval_accuracy": 0.9637305699481865, | |
| "eval_loss": 0.1385740041732788, | |
| "eval_runtime": 33.69, | |
| "eval_samples_per_second": 5.729, | |
| "eval_steps_per_second": 1.454, | |
| "step": 254 | |
| }, | |
| { | |
| "epoch": 9.02, | |
| "eval_accuracy": 0.9430051813471503, | |
| "eval_loss": 0.16739489138126373, | |
| "eval_runtime": 34.3119, | |
| "eval_samples_per_second": 5.625, | |
| "eval_steps_per_second": 1.428, | |
| "step": 282 | |
| }, | |
| { | |
| "epoch": 10.02, | |
| "eval_accuracy": 0.9740932642487047, | |
| "eval_loss": 0.10096671432256699, | |
| "eval_runtime": 33.6401, | |
| "eval_samples_per_second": 5.737, | |
| "eval_steps_per_second": 1.457, | |
| "step": 310 | |
| }, | |
| { | |
| "epoch": 11.01, | |
| "learning_rate": 1.590909090909091e-05, | |
| "loss": 0.0509, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 11.03, | |
| "eval_accuracy": 0.9637305699481865, | |
| "eval_loss": 0.1586216688156128, | |
| "eval_runtime": 33.6589, | |
| "eval_samples_per_second": 5.734, | |
| "eval_steps_per_second": 1.456, | |
| "step": 339 | |
| }, | |
| { | |
| "epoch": 12.02, | |
| "eval_accuracy": 0.8860103626943006, | |
| "eval_loss": 0.2695624530315399, | |
| "eval_runtime": 34.0413, | |
| "eval_samples_per_second": 5.67, | |
| "eval_steps_per_second": 1.439, | |
| "step": 367 | |
| }, | |
| { | |
| "epoch": 13.02, | |
| "eval_accuracy": 0.917098445595855, | |
| "eval_loss": 0.3004997670650482, | |
| "eval_runtime": 33.8891, | |
| "eval_samples_per_second": 5.695, | |
| "eval_steps_per_second": 1.446, | |
| "step": 395 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "learning_rate": 1.432806324110672e-05, | |
| "loss": 0.023, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 14.02, | |
| "eval_accuracy": 0.9740932642487047, | |
| "eval_loss": 0.10009404271841049, | |
| "eval_runtime": 34.3813, | |
| "eval_samples_per_second": 5.614, | |
| "eval_steps_per_second": 1.425, | |
| "step": 423 | |
| }, | |
| { | |
| "epoch": 15.03, | |
| "eval_accuracy": 0.9481865284974094, | |
| "eval_loss": 0.19607579708099365, | |
| "eval_runtime": 33.8549, | |
| "eval_samples_per_second": 5.701, | |
| "eval_steps_per_second": 1.447, | |
| "step": 452 | |
| }, | |
| { | |
| "epoch": 16.02, | |
| "learning_rate": 1.274703557312253e-05, | |
| "loss": 0.0354, | |
| "step": 480 | |
| }, | |
| { | |
| "epoch": 16.02, | |
| "eval_accuracy": 0.9222797927461139, | |
| "eval_loss": 0.2595587968826294, | |
| "eval_runtime": 34.7628, | |
| "eval_samples_per_second": 5.552, | |
| "eval_steps_per_second": 1.41, | |
| "step": 480 | |
| }, | |
| { | |
| "epoch": 17.02, | |
| "eval_accuracy": 0.9689119170984456, | |
| "eval_loss": 0.10061533749103546, | |
| "eval_runtime": 36.7389, | |
| "eval_samples_per_second": 5.253, | |
| "eval_steps_per_second": 1.334, | |
| "step": 508 | |
| }, | |
| { | |
| "epoch": 18.02, | |
| "eval_accuracy": 0.9792746113989638, | |
| "eval_loss": 0.09470318257808685, | |
| "eval_runtime": 35.1648, | |
| "eval_samples_per_second": 5.488, | |
| "eval_steps_per_second": 1.393, | |
| "step": 536 | |
| }, | |
| { | |
| "epoch": 19.02, | |
| "learning_rate": 1.116600790513834e-05, | |
| "loss": 0.0141, | |
| "step": 560 | |
| }, | |
| { | |
| "epoch": 19.03, | |
| "eval_accuracy": 0.9792746113989638, | |
| "eval_loss": 0.08311115205287933, | |
| "eval_runtime": 35.0699, | |
| "eval_samples_per_second": 5.503, | |
| "eval_steps_per_second": 1.397, | |
| "step": 565 | |
| }, | |
| { | |
| "epoch": 20.02, | |
| "eval_accuracy": 0.9792746113989638, | |
| "eval_loss": 0.06850504875183105, | |
| "eval_runtime": 34.7445, | |
| "eval_samples_per_second": 5.555, | |
| "eval_steps_per_second": 1.41, | |
| "step": 593 | |
| }, | |
| { | |
| "epoch": 21.02, | |
| "eval_accuracy": 0.9689119170984456, | |
| "eval_loss": 0.09778512269258499, | |
| "eval_runtime": 34.2526, | |
| "eval_samples_per_second": 5.635, | |
| "eval_steps_per_second": 1.431, | |
| "step": 621 | |
| }, | |
| { | |
| "epoch": 22.02, | |
| "learning_rate": 9.58498023715415e-06, | |
| "loss": 0.0168, | |
| "step": 640 | |
| }, | |
| { | |
| "epoch": 22.02, | |
| "eval_accuracy": 0.9792746113989638, | |
| "eval_loss": 0.08115241676568985, | |
| "eval_runtime": 33.4433, | |
| "eval_samples_per_second": 5.771, | |
| "eval_steps_per_second": 1.465, | |
| "step": 649 | |
| }, | |
| { | |
| "epoch": 23.03, | |
| "eval_accuracy": 0.9792746113989638, | |
| "eval_loss": 0.07816170156002045, | |
| "eval_runtime": 32.8844, | |
| "eval_samples_per_second": 5.869, | |
| "eval_steps_per_second": 1.49, | |
| "step": 678 | |
| }, | |
| { | |
| "epoch": 24.02, | |
| "eval_accuracy": 0.927461139896373, | |
| "eval_loss": 0.2624199390411377, | |
| "eval_runtime": 33.6116, | |
| "eval_samples_per_second": 5.742, | |
| "eval_steps_per_second": 1.458, | |
| "step": 706 | |
| }, | |
| { | |
| "epoch": 25.01, | |
| "learning_rate": 8.003952569169962e-06, | |
| "loss": 0.0029, | |
| "step": 720 | |
| }, | |
| { | |
| "epoch": 25.02, | |
| "eval_accuracy": 0.9533678756476683, | |
| "eval_loss": 0.1805860698223114, | |
| "eval_runtime": 33.2451, | |
| "eval_samples_per_second": 5.805, | |
| "eval_steps_per_second": 1.474, | |
| "step": 734 | |
| }, | |
| { | |
| "epoch": 26.02, | |
| "eval_accuracy": 0.9585492227979274, | |
| "eval_loss": 0.21230334043502808, | |
| "eval_runtime": 32.7523, | |
| "eval_samples_per_second": 5.893, | |
| "eval_steps_per_second": 1.496, | |
| "step": 762 | |
| }, | |
| { | |
| "epoch": 27.03, | |
| "eval_accuracy": 0.9481865284974094, | |
| "eval_loss": 0.200972780585289, | |
| "eval_runtime": 34.3388, | |
| "eval_samples_per_second": 5.62, | |
| "eval_steps_per_second": 1.427, | |
| "step": 791 | |
| }, | |
| { | |
| "epoch": 28.01, | |
| "learning_rate": 6.422924901185771e-06, | |
| "loss": 0.0048, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 28.02, | |
| "eval_accuracy": 0.9689119170984456, | |
| "eval_loss": 0.12585969269275665, | |
| "eval_runtime": 32.5431, | |
| "eval_samples_per_second": 5.931, | |
| "eval_steps_per_second": 1.506, | |
| "step": 819 | |
| }, | |
| { | |
| "epoch": 29.02, | |
| "eval_accuracy": 0.9430051813471503, | |
| "eval_loss": 0.2145320475101471, | |
| "eval_runtime": 33.8812, | |
| "eval_samples_per_second": 5.696, | |
| "eval_steps_per_second": 1.446, | |
| "step": 847 | |
| }, | |
| { | |
| "epoch": 30.02, | |
| "eval_accuracy": 0.9222797927461139, | |
| "eval_loss": 0.29007139801979065, | |
| "eval_runtime": 33.0865, | |
| "eval_samples_per_second": 5.833, | |
| "eval_steps_per_second": 1.481, | |
| "step": 875 | |
| }, | |
| { | |
| "epoch": 31.0, | |
| "learning_rate": 4.841897233201581e-06, | |
| "loss": 0.0042, | |
| "step": 880 | |
| }, | |
| { | |
| "epoch": 31.03, | |
| "eval_accuracy": 0.9792746113989638, | |
| "eval_loss": 0.0911334827542305, | |
| "eval_runtime": 32.213, | |
| "eval_samples_per_second": 5.991, | |
| "eval_steps_per_second": 1.521, | |
| "step": 904 | |
| }, | |
| { | |
| "epoch": 32.02, | |
| "eval_accuracy": 0.9740932642487047, | |
| "eval_loss": 0.0891527533531189, | |
| "eval_runtime": 35.2316, | |
| "eval_samples_per_second": 5.478, | |
| "eval_steps_per_second": 1.391, | |
| "step": 932 | |
| }, | |
| { | |
| "epoch": 33.02, | |
| "learning_rate": 3.2608695652173914e-06, | |
| "loss": 0.0024, | |
| "step": 960 | |
| }, | |
| { | |
| "epoch": 33.02, | |
| "eval_accuracy": 0.9844559585492227, | |
| "eval_loss": 0.09106723964214325, | |
| "eval_runtime": 33.6234, | |
| "eval_samples_per_second": 5.74, | |
| "eval_steps_per_second": 1.457, | |
| "step": 960 | |
| }, | |
| { | |
| "epoch": 34.02, | |
| "eval_accuracy": 0.9740932642487047, | |
| "eval_loss": 0.09867668896913528, | |
| "eval_runtime": 34.9535, | |
| "eval_samples_per_second": 5.522, | |
| "eval_steps_per_second": 1.402, | |
| "step": 988 | |
| }, | |
| { | |
| "epoch": 35.03, | |
| "eval_accuracy": 0.9481865284974094, | |
| "eval_loss": 0.14462456107139587, | |
| "eval_runtime": 34.1647, | |
| "eval_samples_per_second": 5.649, | |
| "eval_steps_per_second": 1.434, | |
| "step": 1017 | |
| }, | |
| { | |
| "epoch": 36.02, | |
| "learning_rate": 1.6798418972332018e-06, | |
| "loss": 0.0008, | |
| "step": 1040 | |
| }, | |
| { | |
| "epoch": 36.02, | |
| "eval_accuracy": 0.9481865284974094, | |
| "eval_loss": 0.14153124392032623, | |
| "eval_runtime": 33.7336, | |
| "eval_samples_per_second": 5.721, | |
| "eval_steps_per_second": 1.453, | |
| "step": 1045 | |
| }, | |
| { | |
| "epoch": 37.02, | |
| "eval_accuracy": 0.9481865284974094, | |
| "eval_loss": 0.1434861421585083, | |
| "eval_runtime": 34.3867, | |
| "eval_samples_per_second": 5.613, | |
| "eval_steps_per_second": 1.425, | |
| "step": 1073 | |
| }, | |
| { | |
| "epoch": 38.02, | |
| "eval_accuracy": 0.9481865284974094, | |
| "eval_loss": 0.14380092918872833, | |
| "eval_runtime": 34.1415, | |
| "eval_samples_per_second": 5.653, | |
| "eval_steps_per_second": 1.435, | |
| "step": 1101 | |
| }, | |
| { | |
| "epoch": 39.02, | |
| "learning_rate": 9.881422924901187e-08, | |
| "loss": 0.0008, | |
| "step": 1120 | |
| }, | |
| { | |
| "epoch": 39.02, | |
| "eval_accuracy": 0.9533678756476683, | |
| "eval_loss": 0.137101411819458, | |
| "eval_runtime": 34.8796, | |
| "eval_samples_per_second": 5.533, | |
| "eval_steps_per_second": 1.405, | |
| "step": 1125 | |
| }, | |
| { | |
| "epoch": 39.02, | |
| "step": 1125, | |
| "total_flos": 4.471333316936427e+19, | |
| "train_loss": 0.1162004730856667, | |
| "train_runtime": 11133.0856, | |
| "train_samples_per_second": 3.234, | |
| "train_steps_per_second": 0.101 | |
| }, | |
| { | |
| "epoch": 39.02, | |
| "eval_accuracy": 0.964824120603015, | |
| "eval_loss": 0.13270962238311768, | |
| "eval_runtime": 98.7852, | |
| "eval_samples_per_second": 2.014, | |
| "eval_steps_per_second": 0.506, | |
| "step": 1125 | |
| }, | |
| { | |
| "epoch": 39.02, | |
| "eval_accuracy": 0.964824120603015, | |
| "eval_loss": 0.13270962238311768, | |
| "eval_runtime": 34.085, | |
| "eval_samples_per_second": 5.838, | |
| "eval_steps_per_second": 1.467, | |
| "step": 1125 | |
| } | |
| ], | |
| "logging_steps": 80, | |
| "max_steps": 1125, | |
| "num_train_epochs": 9223372036854775807, | |
| "save_steps": 500, | |
| "total_flos": 4.471333316936427e+19, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |