|
{ |
|
"best_metric": 0.7145092460881934, |
|
"best_model_checkpoint": "mobilenet_v2_1.0_224-plant-disease-identification/checkpoint-1240", |
|
"epoch": 5.0, |
|
"global_step": 1240, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 2.419354838709677e-05, |
|
"loss": 3.9201, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 4.838709677419354e-05, |
|
"loss": 3.9242, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.12, |
|
"learning_rate": 7.258064516129032e-05, |
|
"loss": 3.8715, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.16, |
|
"learning_rate": 9.677419354838708e-05, |
|
"loss": 3.826, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 0.2, |
|
"learning_rate": 0.00012096774193548386, |
|
"loss": 3.8171, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 0.24, |
|
"learning_rate": 0.00014516129032258063, |
|
"loss": 3.7068, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 0.28, |
|
"learning_rate": 0.00016935483870967742, |
|
"loss": 3.6646, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 0.32, |
|
"learning_rate": 0.00019354838709677416, |
|
"loss": 3.5948, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 0.36, |
|
"learning_rate": 0.00021774193548387095, |
|
"loss": 3.5158, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 0.4, |
|
"learning_rate": 0.00024193548387096771, |
|
"loss": 3.4091, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.44, |
|
"learning_rate": 0.0002661290322580645, |
|
"loss": 3.3351, |
|
"step": 110 |
|
}, |
|
{ |
|
"epoch": 0.48, |
|
"learning_rate": 0.00029032258064516127, |
|
"loss": 3.2331, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 0.52, |
|
"learning_rate": 0.00029838709677419353, |
|
"loss": 3.1194, |
|
"step": 130 |
|
}, |
|
{ |
|
"epoch": 0.56, |
|
"learning_rate": 0.00029569892473118274, |
|
"loss": 3.0321, |
|
"step": 140 |
|
}, |
|
{ |
|
"epoch": 0.6, |
|
"learning_rate": 0.000293010752688172, |
|
"loss": 2.941, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 0.65, |
|
"learning_rate": 0.00029032258064516127, |
|
"loss": 2.8464, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 0.69, |
|
"learning_rate": 0.00028763440860215053, |
|
"loss": 2.7874, |
|
"step": 170 |
|
}, |
|
{ |
|
"epoch": 0.73, |
|
"learning_rate": 0.00028494623655913974, |
|
"loss": 2.7077, |
|
"step": 180 |
|
}, |
|
{ |
|
"epoch": 0.77, |
|
"learning_rate": 0.000282258064516129, |
|
"loss": 2.6118, |
|
"step": 190 |
|
}, |
|
{ |
|
"epoch": 0.81, |
|
"learning_rate": 0.00027956989247311827, |
|
"loss": 2.5675, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.85, |
|
"learning_rate": 0.0002768817204301075, |
|
"loss": 2.5306, |
|
"step": 210 |
|
}, |
|
{ |
|
"epoch": 0.89, |
|
"learning_rate": 0.00027419354838709674, |
|
"loss": 2.462, |
|
"step": 220 |
|
}, |
|
{ |
|
"epoch": 0.93, |
|
"learning_rate": 0.000271505376344086, |
|
"loss": 2.4002, |
|
"step": 230 |
|
}, |
|
{ |
|
"epoch": 0.97, |
|
"learning_rate": 0.00026881720430107527, |
|
"loss": 2.3889, |
|
"step": 240 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.6310099573257468, |
|
"eval_loss": 2.1952064037323, |
|
"eval_runtime": 32.494, |
|
"eval_samples_per_second": 216.348, |
|
"eval_steps_per_second": 0.862, |
|
"step": 248 |
|
}, |
|
{ |
|
"epoch": 1.01, |
|
"learning_rate": 0.0002661290322580645, |
|
"loss": 2.3746, |
|
"step": 250 |
|
}, |
|
{ |
|
"epoch": 1.05, |
|
"learning_rate": 0.00026344086021505374, |
|
"loss": 2.3061, |
|
"step": 260 |
|
}, |
|
{ |
|
"epoch": 1.09, |
|
"learning_rate": 0.000260752688172043, |
|
"loss": 2.2709, |
|
"step": 270 |
|
}, |
|
{ |
|
"epoch": 1.13, |
|
"learning_rate": 0.0002580645161290322, |
|
"loss": 2.1836, |
|
"step": 280 |
|
}, |
|
{ |
|
"epoch": 1.17, |
|
"learning_rate": 0.0002553763440860215, |
|
"loss": 2.1468, |
|
"step": 290 |
|
}, |
|
{ |
|
"epoch": 1.21, |
|
"learning_rate": 0.00025268817204301074, |
|
"loss": 2.1378, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 1.25, |
|
"learning_rate": 0.00025, |
|
"loss": 2.1195, |
|
"step": 310 |
|
}, |
|
{ |
|
"epoch": 1.29, |
|
"learning_rate": 0.0002473118279569892, |
|
"loss": 2.0858, |
|
"step": 320 |
|
}, |
|
{ |
|
"epoch": 1.33, |
|
"learning_rate": 0.0002446236559139785, |
|
"loss": 2.054, |
|
"step": 330 |
|
}, |
|
{ |
|
"epoch": 1.37, |
|
"learning_rate": 0.00024193548387096771, |
|
"loss": 2.0506, |
|
"step": 340 |
|
}, |
|
{ |
|
"epoch": 1.41, |
|
"learning_rate": 0.00023924731182795698, |
|
"loss": 2.0189, |
|
"step": 350 |
|
}, |
|
{ |
|
"epoch": 1.45, |
|
"learning_rate": 0.00023655913978494621, |
|
"loss": 1.988, |
|
"step": 360 |
|
}, |
|
{ |
|
"epoch": 1.49, |
|
"learning_rate": 0.00023387096774193545, |
|
"loss": 1.959, |
|
"step": 370 |
|
}, |
|
{ |
|
"epoch": 1.53, |
|
"learning_rate": 0.0002311827956989247, |
|
"loss": 1.9234, |
|
"step": 380 |
|
}, |
|
{ |
|
"epoch": 1.57, |
|
"learning_rate": 0.00022849462365591398, |
|
"loss": 1.9085, |
|
"step": 390 |
|
}, |
|
{ |
|
"epoch": 1.61, |
|
"learning_rate": 0.00022580645161290321, |
|
"loss": 1.8899, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 1.65, |
|
"learning_rate": 0.00022311827956989245, |
|
"loss": 1.8872, |
|
"step": 410 |
|
}, |
|
{ |
|
"epoch": 1.69, |
|
"learning_rate": 0.00022043010752688171, |
|
"loss": 1.8375, |
|
"step": 420 |
|
}, |
|
{ |
|
"epoch": 1.73, |
|
"learning_rate": 0.00021774193548387095, |
|
"loss": 1.8898, |
|
"step": 430 |
|
}, |
|
{ |
|
"epoch": 1.77, |
|
"learning_rate": 0.0002150537634408602, |
|
"loss": 1.8581, |
|
"step": 440 |
|
}, |
|
{ |
|
"epoch": 1.81, |
|
"learning_rate": 0.00021236559139784942, |
|
"loss": 1.8599, |
|
"step": 450 |
|
}, |
|
{ |
|
"epoch": 1.85, |
|
"learning_rate": 0.00020967741935483871, |
|
"loss": 1.802, |
|
"step": 460 |
|
}, |
|
{ |
|
"epoch": 1.9, |
|
"learning_rate": 0.00020698924731182795, |
|
"loss": 1.8318, |
|
"step": 470 |
|
}, |
|
{ |
|
"epoch": 1.94, |
|
"learning_rate": 0.0002043010752688172, |
|
"loss": 1.7989, |
|
"step": 480 |
|
}, |
|
{ |
|
"epoch": 1.98, |
|
"learning_rate": 0.00020161290322580642, |
|
"loss": 1.8202, |
|
"step": 490 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.701280227596017, |
|
"eval_loss": 1.6362959146499634, |
|
"eval_runtime": 33.4879, |
|
"eval_samples_per_second": 209.927, |
|
"eval_steps_per_second": 0.836, |
|
"step": 496 |
|
}, |
|
{ |
|
"epoch": 2.02, |
|
"learning_rate": 0.0001989247311827957, |
|
"loss": 1.8297, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 2.06, |
|
"learning_rate": 0.00019623655913978492, |
|
"loss": 1.7744, |
|
"step": 510 |
|
}, |
|
{ |
|
"epoch": 2.1, |
|
"learning_rate": 0.00019354838709677416, |
|
"loss": 1.7534, |
|
"step": 520 |
|
}, |
|
{ |
|
"epoch": 2.14, |
|
"learning_rate": 0.0001908602150537634, |
|
"loss": 1.7636, |
|
"step": 530 |
|
}, |
|
{ |
|
"epoch": 2.18, |
|
"learning_rate": 0.0001881720430107527, |
|
"loss": 1.7439, |
|
"step": 540 |
|
}, |
|
{ |
|
"epoch": 2.22, |
|
"learning_rate": 0.00018548387096774192, |
|
"loss": 1.7016, |
|
"step": 550 |
|
}, |
|
{ |
|
"epoch": 2.26, |
|
"learning_rate": 0.00018279569892473116, |
|
"loss": 1.717, |
|
"step": 560 |
|
}, |
|
{ |
|
"epoch": 2.3, |
|
"learning_rate": 0.0001801075268817204, |
|
"loss": 1.7345, |
|
"step": 570 |
|
}, |
|
{ |
|
"epoch": 2.34, |
|
"learning_rate": 0.00017741935483870966, |
|
"loss": 1.7058, |
|
"step": 580 |
|
}, |
|
{ |
|
"epoch": 2.38, |
|
"learning_rate": 0.0001747311827956989, |
|
"loss": 1.6664, |
|
"step": 590 |
|
}, |
|
{ |
|
"epoch": 2.42, |
|
"learning_rate": 0.00017204301075268816, |
|
"loss": 1.6923, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 2.46, |
|
"learning_rate": 0.00016935483870967742, |
|
"loss": 1.6606, |
|
"step": 610 |
|
}, |
|
{ |
|
"epoch": 2.5, |
|
"learning_rate": 0.00016666666666666666, |
|
"loss": 1.6848, |
|
"step": 620 |
|
}, |
|
{ |
|
"epoch": 2.54, |
|
"learning_rate": 0.0001639784946236559, |
|
"loss": 1.6863, |
|
"step": 630 |
|
}, |
|
{ |
|
"epoch": 2.58, |
|
"learning_rate": 0.00016129032258064513, |
|
"loss": 1.6436, |
|
"step": 640 |
|
}, |
|
{ |
|
"epoch": 2.62, |
|
"learning_rate": 0.0001586021505376344, |
|
"loss": 1.6944, |
|
"step": 650 |
|
}, |
|
{ |
|
"epoch": 2.66, |
|
"learning_rate": 0.00015591397849462366, |
|
"loss": 1.644, |
|
"step": 660 |
|
}, |
|
{ |
|
"epoch": 2.7, |
|
"learning_rate": 0.0001532258064516129, |
|
"loss": 1.6657, |
|
"step": 670 |
|
}, |
|
{ |
|
"epoch": 2.74, |
|
"learning_rate": 0.00015053763440860213, |
|
"loss": 1.6636, |
|
"step": 680 |
|
}, |
|
{ |
|
"epoch": 2.78, |
|
"learning_rate": 0.00014784946236559137, |
|
"loss": 1.664, |
|
"step": 690 |
|
}, |
|
{ |
|
"epoch": 2.82, |
|
"learning_rate": 0.00014516129032258063, |
|
"loss": 1.6413, |
|
"step": 700 |
|
}, |
|
{ |
|
"epoch": 2.86, |
|
"learning_rate": 0.00014247311827956987, |
|
"loss": 1.6534, |
|
"step": 710 |
|
}, |
|
{ |
|
"epoch": 2.9, |
|
"learning_rate": 0.00013978494623655913, |
|
"loss": 1.6356, |
|
"step": 720 |
|
}, |
|
{ |
|
"epoch": 2.94, |
|
"learning_rate": 0.00013709677419354837, |
|
"loss": 1.6479, |
|
"step": 730 |
|
}, |
|
{ |
|
"epoch": 2.98, |
|
"learning_rate": 0.00013440860215053763, |
|
"loss": 1.6266, |
|
"step": 740 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.6342816500711238, |
|
"eval_loss": 1.6291429996490479, |
|
"eval_runtime": 32.1288, |
|
"eval_samples_per_second": 218.807, |
|
"eval_steps_per_second": 0.871, |
|
"step": 744 |
|
}, |
|
{ |
|
"epoch": 3.02, |
|
"learning_rate": 0.00013172043010752687, |
|
"loss": 1.6561, |
|
"step": 750 |
|
}, |
|
{ |
|
"epoch": 3.06, |
|
"learning_rate": 0.0001290322580645161, |
|
"loss": 1.6028, |
|
"step": 760 |
|
}, |
|
{ |
|
"epoch": 3.1, |
|
"learning_rate": 0.00012634408602150537, |
|
"loss": 1.5976, |
|
"step": 770 |
|
}, |
|
{ |
|
"epoch": 3.15, |
|
"learning_rate": 0.0001236559139784946, |
|
"loss": 1.5662, |
|
"step": 780 |
|
}, |
|
{ |
|
"epoch": 3.19, |
|
"learning_rate": 0.00012096774193548386, |
|
"loss": 1.5979, |
|
"step": 790 |
|
}, |
|
{ |
|
"epoch": 3.23, |
|
"learning_rate": 0.00011827956989247311, |
|
"loss": 1.5985, |
|
"step": 800 |
|
}, |
|
{ |
|
"epoch": 3.27, |
|
"learning_rate": 0.00011559139784946234, |
|
"loss": 1.565, |
|
"step": 810 |
|
}, |
|
{ |
|
"epoch": 3.31, |
|
"learning_rate": 0.00011290322580645161, |
|
"loss": 1.5848, |
|
"step": 820 |
|
}, |
|
{ |
|
"epoch": 3.35, |
|
"learning_rate": 0.00011021505376344086, |
|
"loss": 1.5779, |
|
"step": 830 |
|
}, |
|
{ |
|
"epoch": 3.39, |
|
"learning_rate": 0.0001075268817204301, |
|
"loss": 1.6202, |
|
"step": 840 |
|
}, |
|
{ |
|
"epoch": 3.43, |
|
"learning_rate": 0.00010483870967741936, |
|
"loss": 1.582, |
|
"step": 850 |
|
}, |
|
{ |
|
"epoch": 3.47, |
|
"learning_rate": 0.0001021505376344086, |
|
"loss": 1.5881, |
|
"step": 860 |
|
}, |
|
{ |
|
"epoch": 3.51, |
|
"learning_rate": 9.946236559139784e-05, |
|
"loss": 1.6339, |
|
"step": 870 |
|
}, |
|
{ |
|
"epoch": 3.55, |
|
"learning_rate": 9.677419354838708e-05, |
|
"loss": 1.5905, |
|
"step": 880 |
|
}, |
|
{ |
|
"epoch": 3.59, |
|
"learning_rate": 9.408602150537634e-05, |
|
"loss": 1.5989, |
|
"step": 890 |
|
}, |
|
{ |
|
"epoch": 3.63, |
|
"learning_rate": 9.139784946236558e-05, |
|
"loss": 1.512, |
|
"step": 900 |
|
}, |
|
{ |
|
"epoch": 3.67, |
|
"learning_rate": 8.870967741935483e-05, |
|
"loss": 1.6037, |
|
"step": 910 |
|
}, |
|
{ |
|
"epoch": 3.71, |
|
"learning_rate": 8.602150537634408e-05, |
|
"loss": 1.5541, |
|
"step": 920 |
|
}, |
|
{ |
|
"epoch": 3.75, |
|
"learning_rate": 8.333333333333333e-05, |
|
"loss": 1.5853, |
|
"step": 930 |
|
}, |
|
{ |
|
"epoch": 3.79, |
|
"learning_rate": 8.064516129032257e-05, |
|
"loss": 1.5876, |
|
"step": 940 |
|
}, |
|
{ |
|
"epoch": 3.83, |
|
"learning_rate": 7.795698924731183e-05, |
|
"loss": 1.5725, |
|
"step": 950 |
|
}, |
|
{ |
|
"epoch": 3.87, |
|
"learning_rate": 7.526881720430107e-05, |
|
"loss": 1.5877, |
|
"step": 960 |
|
}, |
|
{ |
|
"epoch": 3.91, |
|
"learning_rate": 7.258064516129032e-05, |
|
"loss": 1.5616, |
|
"step": 970 |
|
}, |
|
{ |
|
"epoch": 3.95, |
|
"learning_rate": 6.989247311827957e-05, |
|
"loss": 1.5312, |
|
"step": 980 |
|
}, |
|
{ |
|
"epoch": 3.99, |
|
"learning_rate": 6.720430107526882e-05, |
|
"loss": 1.5566, |
|
"step": 990 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.7129445234708393, |
|
"eval_loss": 1.3513665199279785, |
|
"eval_runtime": 32.1577, |
|
"eval_samples_per_second": 218.61, |
|
"eval_steps_per_second": 0.871, |
|
"step": 992 |
|
}, |
|
{ |
|
"epoch": 4.03, |
|
"learning_rate": 6.451612903225805e-05, |
|
"loss": 1.5856, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 4.07, |
|
"learning_rate": 6.18279569892473e-05, |
|
"loss": 1.5224, |
|
"step": 1010 |
|
}, |
|
{ |
|
"epoch": 4.11, |
|
"learning_rate": 5.9139784946236554e-05, |
|
"loss": 1.6315, |
|
"step": 1020 |
|
}, |
|
{ |
|
"epoch": 4.15, |
|
"learning_rate": 5.6451612903225804e-05, |
|
"loss": 1.5596, |
|
"step": 1030 |
|
}, |
|
{ |
|
"epoch": 4.19, |
|
"learning_rate": 5.376344086021505e-05, |
|
"loss": 1.5664, |
|
"step": 1040 |
|
}, |
|
{ |
|
"epoch": 4.23, |
|
"learning_rate": 5.10752688172043e-05, |
|
"loss": 1.5844, |
|
"step": 1050 |
|
}, |
|
{ |
|
"epoch": 4.27, |
|
"learning_rate": 4.838709677419354e-05, |
|
"loss": 1.5564, |
|
"step": 1060 |
|
}, |
|
{ |
|
"epoch": 4.31, |
|
"learning_rate": 4.569892473118279e-05, |
|
"loss": 1.5299, |
|
"step": 1070 |
|
}, |
|
{ |
|
"epoch": 4.35, |
|
"learning_rate": 4.301075268817204e-05, |
|
"loss": 1.5303, |
|
"step": 1080 |
|
}, |
|
{ |
|
"epoch": 4.4, |
|
"learning_rate": 4.0322580645161284e-05, |
|
"loss": 1.5471, |
|
"step": 1090 |
|
}, |
|
{ |
|
"epoch": 4.44, |
|
"learning_rate": 3.7634408602150534e-05, |
|
"loss": 1.5416, |
|
"step": 1100 |
|
}, |
|
{ |
|
"epoch": 4.48, |
|
"learning_rate": 3.4946236559139784e-05, |
|
"loss": 1.4994, |
|
"step": 1110 |
|
}, |
|
{ |
|
"epoch": 4.52, |
|
"learning_rate": 3.225806451612903e-05, |
|
"loss": 1.5726, |
|
"step": 1120 |
|
}, |
|
{ |
|
"epoch": 4.56, |
|
"learning_rate": 2.9569892473118277e-05, |
|
"loss": 1.5627, |
|
"step": 1130 |
|
}, |
|
{ |
|
"epoch": 4.6, |
|
"learning_rate": 2.6881720430107523e-05, |
|
"loss": 1.5658, |
|
"step": 1140 |
|
}, |
|
{ |
|
"epoch": 4.64, |
|
"learning_rate": 2.419354838709677e-05, |
|
"loss": 1.5639, |
|
"step": 1150 |
|
}, |
|
{ |
|
"epoch": 4.68, |
|
"learning_rate": 2.150537634408602e-05, |
|
"loss": 1.5296, |
|
"step": 1160 |
|
}, |
|
{ |
|
"epoch": 4.72, |
|
"learning_rate": 1.8817204301075267e-05, |
|
"loss": 1.5235, |
|
"step": 1170 |
|
}, |
|
{ |
|
"epoch": 4.76, |
|
"learning_rate": 1.6129032258064513e-05, |
|
"loss": 1.5826, |
|
"step": 1180 |
|
}, |
|
{ |
|
"epoch": 4.8, |
|
"learning_rate": 1.3440860215053762e-05, |
|
"loss": 1.5631, |
|
"step": 1190 |
|
}, |
|
{ |
|
"epoch": 4.84, |
|
"learning_rate": 1.075268817204301e-05, |
|
"loss": 1.4985, |
|
"step": 1200 |
|
}, |
|
{ |
|
"epoch": 4.88, |
|
"learning_rate": 8.064516129032257e-06, |
|
"loss": 1.5313, |
|
"step": 1210 |
|
}, |
|
{ |
|
"epoch": 4.92, |
|
"learning_rate": 5.376344086021505e-06, |
|
"loss": 1.5255, |
|
"step": 1220 |
|
}, |
|
{ |
|
"epoch": 4.96, |
|
"learning_rate": 2.6881720430107525e-06, |
|
"loss": 1.5456, |
|
"step": 1230 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"learning_rate": 0.0, |
|
"loss": 1.5507, |
|
"step": 1240 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.7145092460881934, |
|
"eval_loss": 1.3798919916152954, |
|
"eval_runtime": 32.2801, |
|
"eval_samples_per_second": 217.781, |
|
"eval_steps_per_second": 0.867, |
|
"step": 1240 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"step": 1240, |
|
"total_flos": 8.4800692666368e+17, |
|
"train_loss": 1.9910735707129201, |
|
"train_runtime": 2091.2925, |
|
"train_samples_per_second": 151.258, |
|
"train_steps_per_second": 0.593 |
|
} |
|
], |
|
"max_steps": 1240, |
|
"num_train_epochs": 5, |
|
"total_flos": 8.4800692666368e+17, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|