food / trainer_state.json
dog's picture
init
1a66821
{
"best_metric": 0.8912871287128713,
"best_model_checkpoint": "food101_outputs/checkpoint-2960",
"epoch": 5.0,
"global_step": 2960,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.03,
"learning_rate": 0.00019864864864864865,
"loss": 4.4083,
"step": 20
},
{
"epoch": 0.07,
"learning_rate": 0.0001972972972972973,
"loss": 3.884,
"step": 40
},
{
"epoch": 0.1,
"learning_rate": 0.00019594594594594594,
"loss": 3.4068,
"step": 60
},
{
"epoch": 0.14,
"learning_rate": 0.00019459459459459462,
"loss": 2.9784,
"step": 80
},
{
"epoch": 0.17,
"learning_rate": 0.00019324324324324326,
"loss": 2.6549,
"step": 100
},
{
"epoch": 0.2,
"learning_rate": 0.0001918918918918919,
"loss": 2.3437,
"step": 120
},
{
"epoch": 0.24,
"learning_rate": 0.00019054054054054055,
"loss": 2.1107,
"step": 140
},
{
"epoch": 0.27,
"learning_rate": 0.0001891891891891892,
"loss": 1.8803,
"step": 160
},
{
"epoch": 0.3,
"learning_rate": 0.00018783783783783784,
"loss": 1.7025,
"step": 180
},
{
"epoch": 0.34,
"learning_rate": 0.0001864864864864865,
"loss": 1.5403,
"step": 200
},
{
"epoch": 0.37,
"learning_rate": 0.00018513513513513513,
"loss": 1.48,
"step": 220
},
{
"epoch": 0.41,
"learning_rate": 0.0001837837837837838,
"loss": 1.358,
"step": 240
},
{
"epoch": 0.44,
"learning_rate": 0.00018243243243243245,
"loss": 1.2943,
"step": 260
},
{
"epoch": 0.47,
"learning_rate": 0.0001810810810810811,
"loss": 1.2301,
"step": 280
},
{
"epoch": 0.51,
"learning_rate": 0.00017972972972972974,
"loss": 1.1578,
"step": 300
},
{
"epoch": 0.54,
"learning_rate": 0.00017837837837837839,
"loss": 1.0811,
"step": 320
},
{
"epoch": 0.57,
"learning_rate": 0.00017702702702702703,
"loss": 1.0662,
"step": 340
},
{
"epoch": 0.61,
"learning_rate": 0.00017567567567567568,
"loss": 1.0146,
"step": 360
},
{
"epoch": 0.64,
"learning_rate": 0.00017432432432432432,
"loss": 0.9584,
"step": 380
},
{
"epoch": 0.68,
"learning_rate": 0.000172972972972973,
"loss": 0.973,
"step": 400
},
{
"epoch": 0.71,
"learning_rate": 0.00017162162162162164,
"loss": 0.9817,
"step": 420
},
{
"epoch": 0.74,
"learning_rate": 0.00017027027027027028,
"loss": 0.9552,
"step": 440
},
{
"epoch": 0.78,
"learning_rate": 0.00016891891891891893,
"loss": 0.916,
"step": 460
},
{
"epoch": 0.81,
"learning_rate": 0.00016756756756756757,
"loss": 0.8896,
"step": 480
},
{
"epoch": 0.84,
"learning_rate": 0.00016621621621621622,
"loss": 0.8855,
"step": 500
},
{
"epoch": 0.88,
"learning_rate": 0.00016486486486486486,
"loss": 0.8823,
"step": 520
},
{
"epoch": 0.91,
"learning_rate": 0.0001635135135135135,
"loss": 0.8059,
"step": 540
},
{
"epoch": 0.95,
"learning_rate": 0.00016216216216216218,
"loss": 0.8323,
"step": 560
},
{
"epoch": 0.98,
"learning_rate": 0.00016081081081081083,
"loss": 0.8271,
"step": 580
},
{
"epoch": 1.0,
"eval_accuracy": 0.8561584158415841,
"eval_loss": 0.6070069074630737,
"eval_runtime": 142.5311,
"eval_samples_per_second": 177.154,
"eval_steps_per_second": 1.389,
"step": 592
},
{
"epoch": 1.01,
"learning_rate": 0.00015945945945945947,
"loss": 0.6876,
"step": 600
},
{
"epoch": 1.05,
"learning_rate": 0.00015810810810810812,
"loss": 0.4771,
"step": 620
},
{
"epoch": 1.08,
"learning_rate": 0.00015675675675675676,
"loss": 0.4998,
"step": 640
},
{
"epoch": 1.11,
"learning_rate": 0.0001554054054054054,
"loss": 0.4753,
"step": 660
},
{
"epoch": 1.15,
"learning_rate": 0.00015405405405405405,
"loss": 0.5197,
"step": 680
},
{
"epoch": 1.18,
"learning_rate": 0.0001527027027027027,
"loss": 0.527,
"step": 700
},
{
"epoch": 1.22,
"learning_rate": 0.00015135135135135137,
"loss": 0.5371,
"step": 720
},
{
"epoch": 1.25,
"learning_rate": 0.00015000000000000001,
"loss": 0.4992,
"step": 740
},
{
"epoch": 1.28,
"learning_rate": 0.00014864864864864866,
"loss": 0.4728,
"step": 760
},
{
"epoch": 1.32,
"learning_rate": 0.0001472972972972973,
"loss": 0.5185,
"step": 780
},
{
"epoch": 1.35,
"learning_rate": 0.00014594594594594595,
"loss": 0.5071,
"step": 800
},
{
"epoch": 1.39,
"learning_rate": 0.00014459459459459462,
"loss": 0.4728,
"step": 820
},
{
"epoch": 1.42,
"learning_rate": 0.00014324324324324324,
"loss": 0.4731,
"step": 840
},
{
"epoch": 1.45,
"learning_rate": 0.00014189189189189188,
"loss": 0.5211,
"step": 860
},
{
"epoch": 1.49,
"learning_rate": 0.00014054054054054056,
"loss": 0.4949,
"step": 880
},
{
"epoch": 1.52,
"learning_rate": 0.0001391891891891892,
"loss": 0.4847,
"step": 900
},
{
"epoch": 1.55,
"learning_rate": 0.00013783783783783785,
"loss": 0.4626,
"step": 920
},
{
"epoch": 1.59,
"learning_rate": 0.0001364864864864865,
"loss": 0.456,
"step": 940
},
{
"epoch": 1.62,
"learning_rate": 0.00013513513513513514,
"loss": 0.4938,
"step": 960
},
{
"epoch": 1.66,
"learning_rate": 0.0001337837837837838,
"loss": 0.4846,
"step": 980
},
{
"epoch": 1.69,
"learning_rate": 0.00013243243243243243,
"loss": 0.4576,
"step": 1000
},
{
"epoch": 1.72,
"learning_rate": 0.00013108108108108107,
"loss": 0.4766,
"step": 1020
},
{
"epoch": 1.76,
"learning_rate": 0.00012972972972972974,
"loss": 0.4741,
"step": 1040
},
{
"epoch": 1.79,
"learning_rate": 0.0001283783783783784,
"loss": 0.4225,
"step": 1060
},
{
"epoch": 1.82,
"learning_rate": 0.00012702702702702703,
"loss": 0.4201,
"step": 1080
},
{
"epoch": 1.86,
"learning_rate": 0.00012567567567567568,
"loss": 0.4327,
"step": 1100
},
{
"epoch": 1.89,
"learning_rate": 0.00012432432432432433,
"loss": 0.4771,
"step": 1120
},
{
"epoch": 1.93,
"learning_rate": 0.000122972972972973,
"loss": 0.4473,
"step": 1140
},
{
"epoch": 1.96,
"learning_rate": 0.00012162162162162163,
"loss": 0.4569,
"step": 1160
},
{
"epoch": 1.99,
"learning_rate": 0.00012027027027027027,
"loss": 0.4376,
"step": 1180
},
{
"epoch": 2.0,
"eval_accuracy": 0.8691485148514851,
"eval_loss": 0.4947212338447571,
"eval_runtime": 107.3521,
"eval_samples_per_second": 235.207,
"eval_steps_per_second": 1.844,
"step": 1184
},
{
"epoch": 2.03,
"learning_rate": 0.00011891891891891893,
"loss": 0.2526,
"step": 1200
},
{
"epoch": 2.06,
"learning_rate": 0.00011756756756756758,
"loss": 0.2468,
"step": 1220
},
{
"epoch": 2.09,
"learning_rate": 0.00011621621621621621,
"loss": 0.2298,
"step": 1240
},
{
"epoch": 2.13,
"learning_rate": 0.00011486486486486487,
"loss": 0.2294,
"step": 1260
},
{
"epoch": 2.16,
"learning_rate": 0.00011351351351351351,
"loss": 0.2408,
"step": 1280
},
{
"epoch": 2.2,
"learning_rate": 0.00011216216216216217,
"loss": 0.2245,
"step": 1300
},
{
"epoch": 2.23,
"learning_rate": 0.00011081081081081082,
"loss": 0.2391,
"step": 1320
},
{
"epoch": 2.26,
"learning_rate": 0.00010945945945945946,
"loss": 0.241,
"step": 1340
},
{
"epoch": 2.3,
"learning_rate": 0.00010810810810810812,
"loss": 0.2197,
"step": 1360
},
{
"epoch": 2.33,
"learning_rate": 0.00010675675675675677,
"loss": 0.2467,
"step": 1380
},
{
"epoch": 2.36,
"learning_rate": 0.0001054054054054054,
"loss": 0.2397,
"step": 1400
},
{
"epoch": 2.4,
"learning_rate": 0.00010405405405405406,
"loss": 0.2308,
"step": 1420
},
{
"epoch": 2.43,
"learning_rate": 0.0001027027027027027,
"loss": 0.25,
"step": 1440
},
{
"epoch": 2.47,
"learning_rate": 0.00010135135135135136,
"loss": 0.2291,
"step": 1460
},
{
"epoch": 2.5,
"learning_rate": 0.0001,
"loss": 0.2496,
"step": 1480
},
{
"epoch": 2.53,
"learning_rate": 9.864864864864865e-05,
"loss": 0.2322,
"step": 1500
},
{
"epoch": 2.57,
"learning_rate": 9.729729729729731e-05,
"loss": 0.2266,
"step": 1520
},
{
"epoch": 2.6,
"learning_rate": 9.594594594594595e-05,
"loss": 0.2201,
"step": 1540
},
{
"epoch": 2.64,
"learning_rate": 9.45945945945946e-05,
"loss": 0.2497,
"step": 1560
},
{
"epoch": 2.67,
"learning_rate": 9.324324324324324e-05,
"loss": 0.2276,
"step": 1580
},
{
"epoch": 2.7,
"learning_rate": 9.18918918918919e-05,
"loss": 0.1945,
"step": 1600
},
{
"epoch": 2.74,
"learning_rate": 9.054054054054055e-05,
"loss": 0.2174,
"step": 1620
},
{
"epoch": 2.77,
"learning_rate": 8.918918918918919e-05,
"loss": 0.2423,
"step": 1640
},
{
"epoch": 2.8,
"learning_rate": 8.783783783783784e-05,
"loss": 0.2242,
"step": 1660
},
{
"epoch": 2.84,
"learning_rate": 8.64864864864865e-05,
"loss": 0.2383,
"step": 1680
},
{
"epoch": 2.87,
"learning_rate": 8.513513513513514e-05,
"loss": 0.2582,
"step": 1700
},
{
"epoch": 2.91,
"learning_rate": 8.378378378378379e-05,
"loss": 0.2125,
"step": 1720
},
{
"epoch": 2.94,
"learning_rate": 8.243243243243243e-05,
"loss": 0.2307,
"step": 1740
},
{
"epoch": 2.97,
"learning_rate": 8.108108108108109e-05,
"loss": 0.2089,
"step": 1760
},
{
"epoch": 3.0,
"eval_accuracy": 0.8746930693069307,
"eval_loss": 0.48760801553726196,
"eval_runtime": 106.972,
"eval_samples_per_second": 236.043,
"eval_steps_per_second": 1.851,
"step": 1776
},
{
"epoch": 3.01,
"learning_rate": 7.972972972972974e-05,
"loss": 0.1821,
"step": 1780
},
{
"epoch": 3.04,
"learning_rate": 7.837837837837838e-05,
"loss": 0.1332,
"step": 1800
},
{
"epoch": 3.07,
"learning_rate": 7.702702702702703e-05,
"loss": 0.116,
"step": 1820
},
{
"epoch": 3.11,
"learning_rate": 7.567567567567568e-05,
"loss": 0.119,
"step": 1840
},
{
"epoch": 3.14,
"learning_rate": 7.432432432432433e-05,
"loss": 0.1222,
"step": 1860
},
{
"epoch": 3.18,
"learning_rate": 7.297297297297297e-05,
"loss": 0.118,
"step": 1880
},
{
"epoch": 3.21,
"learning_rate": 7.162162162162162e-05,
"loss": 0.1078,
"step": 1900
},
{
"epoch": 3.24,
"learning_rate": 7.027027027027028e-05,
"loss": 0.0982,
"step": 1920
},
{
"epoch": 3.28,
"learning_rate": 6.891891891891892e-05,
"loss": 0.1056,
"step": 1940
},
{
"epoch": 3.31,
"learning_rate": 6.756756756756757e-05,
"loss": 0.099,
"step": 1960
},
{
"epoch": 3.34,
"learning_rate": 6.621621621621621e-05,
"loss": 0.0961,
"step": 1980
},
{
"epoch": 3.38,
"learning_rate": 6.486486486486487e-05,
"loss": 0.1051,
"step": 2000
},
{
"epoch": 3.41,
"learning_rate": 6.358108108108109e-05,
"loss": 0.1161,
"step": 2020
},
{
"epoch": 3.45,
"learning_rate": 6.222972972972973e-05,
"loss": 0.0919,
"step": 2040
},
{
"epoch": 3.48,
"learning_rate": 6.087837837837839e-05,
"loss": 0.1181,
"step": 2060
},
{
"epoch": 3.51,
"learning_rate": 5.952702702702703e-05,
"loss": 0.1215,
"step": 2080
},
{
"epoch": 3.55,
"learning_rate": 5.817567567567568e-05,
"loss": 0.0959,
"step": 2100
},
{
"epoch": 3.58,
"learning_rate": 5.682432432432433e-05,
"loss": 0.0866,
"step": 2120
},
{
"epoch": 3.61,
"learning_rate": 5.547297297297298e-05,
"loss": 0.117,
"step": 2140
},
{
"epoch": 3.65,
"learning_rate": 5.412162162162162e-05,
"loss": 0.1063,
"step": 2160
},
{
"epoch": 3.68,
"learning_rate": 5.277027027027027e-05,
"loss": 0.0993,
"step": 2180
},
{
"epoch": 3.72,
"learning_rate": 5.1418918918918925e-05,
"loss": 0.1057,
"step": 2200
},
{
"epoch": 3.75,
"learning_rate": 5.006756756756758e-05,
"loss": 0.1194,
"step": 2220
},
{
"epoch": 3.78,
"learning_rate": 4.871621621621622e-05,
"loss": 0.0929,
"step": 2240
},
{
"epoch": 3.82,
"learning_rate": 4.736486486486487e-05,
"loss": 0.08,
"step": 2260
},
{
"epoch": 3.85,
"learning_rate": 4.601351351351352e-05,
"loss": 0.1133,
"step": 2280
},
{
"epoch": 3.89,
"learning_rate": 4.4662162162162164e-05,
"loss": 0.0996,
"step": 2300
},
{
"epoch": 3.92,
"learning_rate": 4.3310810810810816e-05,
"loss": 0.0992,
"step": 2320
},
{
"epoch": 3.95,
"learning_rate": 4.195945945945946e-05,
"loss": 0.0941,
"step": 2340
},
{
"epoch": 3.99,
"learning_rate": 4.060810810810811e-05,
"loss": 0.0882,
"step": 2360
},
{
"epoch": 4.0,
"eval_accuracy": 0.8856633663366337,
"eval_loss": 0.463856965303421,
"eval_runtime": 107.2753,
"eval_samples_per_second": 235.376,
"eval_steps_per_second": 1.846,
"step": 2368
},
{
"epoch": 4.02,
"learning_rate": 3.925675675675676e-05,
"loss": 0.0796,
"step": 2380
},
{
"epoch": 4.05,
"learning_rate": 3.790540540540541e-05,
"loss": 0.0353,
"step": 2400
},
{
"epoch": 4.09,
"learning_rate": 3.6554054054054055e-05,
"loss": 0.0536,
"step": 2420
},
{
"epoch": 4.12,
"learning_rate": 3.520270270270271e-05,
"loss": 0.0564,
"step": 2440
},
{
"epoch": 4.16,
"learning_rate": 3.385135135135135e-05,
"loss": 0.0506,
"step": 2460
},
{
"epoch": 4.19,
"learning_rate": 3.2500000000000004e-05,
"loss": 0.0547,
"step": 2480
},
{
"epoch": 4.22,
"learning_rate": 3.114864864864865e-05,
"loss": 0.0462,
"step": 2500
},
{
"epoch": 4.26,
"learning_rate": 2.97972972972973e-05,
"loss": 0.0501,
"step": 2520
},
{
"epoch": 4.29,
"learning_rate": 2.8445945945945946e-05,
"loss": 0.0588,
"step": 2540
},
{
"epoch": 4.32,
"learning_rate": 2.7094594594594598e-05,
"loss": 0.0303,
"step": 2560
},
{
"epoch": 4.36,
"learning_rate": 2.5743243243243243e-05,
"loss": 0.0411,
"step": 2580
},
{
"epoch": 4.39,
"learning_rate": 2.4391891891891895e-05,
"loss": 0.0406,
"step": 2600
},
{
"epoch": 4.43,
"learning_rate": 2.3040540540540543e-05,
"loss": 0.0378,
"step": 2620
},
{
"epoch": 4.46,
"learning_rate": 2.1689189189189192e-05,
"loss": 0.0391,
"step": 2640
},
{
"epoch": 4.49,
"learning_rate": 2.033783783783784e-05,
"loss": 0.038,
"step": 2660
},
{
"epoch": 4.53,
"learning_rate": 1.898648648648649e-05,
"loss": 0.0443,
"step": 2680
},
{
"epoch": 4.56,
"learning_rate": 1.7635135135135137e-05,
"loss": 0.0391,
"step": 2700
},
{
"epoch": 4.59,
"learning_rate": 1.6283783783783786e-05,
"loss": 0.0439,
"step": 2720
},
{
"epoch": 4.63,
"learning_rate": 1.4932432432432433e-05,
"loss": 0.0532,
"step": 2740
},
{
"epoch": 4.66,
"learning_rate": 1.3581081081081081e-05,
"loss": 0.0395,
"step": 2760
},
{
"epoch": 4.7,
"learning_rate": 1.222972972972973e-05,
"loss": 0.0458,
"step": 2780
},
{
"epoch": 4.73,
"learning_rate": 1.0878378378378378e-05,
"loss": 0.0588,
"step": 2800
},
{
"epoch": 4.76,
"learning_rate": 9.527027027027027e-06,
"loss": 0.0465,
"step": 2820
},
{
"epoch": 4.8,
"learning_rate": 8.175675675675675e-06,
"loss": 0.036,
"step": 2840
},
{
"epoch": 4.83,
"learning_rate": 6.8243243243243244e-06,
"loss": 0.0437,
"step": 2860
},
{
"epoch": 4.86,
"learning_rate": 5.472972972972974e-06,
"loss": 0.0487,
"step": 2880
},
{
"epoch": 4.9,
"learning_rate": 4.121621621621622e-06,
"loss": 0.0273,
"step": 2900
},
{
"epoch": 4.93,
"learning_rate": 2.7702702702702708e-06,
"loss": 0.0392,
"step": 2920
},
{
"epoch": 4.97,
"learning_rate": 1.418918918918919e-06,
"loss": 0.0458,
"step": 2940
},
{
"epoch": 5.0,
"learning_rate": 6.756756756756757e-08,
"loss": 0.0452,
"step": 2960
},
{
"epoch": 5.0,
"eval_accuracy": 0.8912871287128713,
"eval_loss": 0.45006364583969116,
"eval_runtime": 106.893,
"eval_samples_per_second": 236.218,
"eval_steps_per_second": 1.852,
"step": 2960
},
{
"epoch": 5.0,
"step": 2960,
"total_flos": 0.0,
"train_loss": 0.48942885282071863,
"train_runtime": 2221.2523,
"train_samples_per_second": 170.512,
"train_steps_per_second": 1.333
}
],
"max_steps": 2960,
"num_train_epochs": 5,
"total_flos": 0.0,
"trial_name": null,
"trial_params": null
}