Augusto777's picture
End of training
2727320 verified
{
"best_metric": 0.8043478260869565,
"best_model_checkpoint": "swin-tiny-patch4-window7-224-ve-U11-b-60\\checkpoint-156",
"epoch": 55.38461538461539,
"eval_steps": 500,
"global_step": 360,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.92,
"eval_accuracy": 0.13043478260869565,
"eval_loss": 1.3858968019485474,
"eval_runtime": 0.5992,
"eval_samples_per_second": 76.77,
"eval_steps_per_second": 3.338,
"step": 6
},
{
"epoch": 1.54,
"learning_rate": 1.388888888888889e-05,
"loss": 1.3858,
"step": 10
},
{
"epoch": 2.0,
"eval_accuracy": 0.2608695652173913,
"eval_loss": 1.3818036317825317,
"eval_runtime": 0.6188,
"eval_samples_per_second": 74.341,
"eval_steps_per_second": 3.232,
"step": 13
},
{
"epoch": 2.92,
"eval_accuracy": 0.2608695652173913,
"eval_loss": 1.3722529411315918,
"eval_runtime": 0.5891,
"eval_samples_per_second": 78.08,
"eval_steps_per_second": 3.395,
"step": 19
},
{
"epoch": 3.08,
"learning_rate": 2.777777777777778e-05,
"loss": 1.3747,
"step": 20
},
{
"epoch": 4.0,
"eval_accuracy": 0.21739130434782608,
"eval_loss": 1.3355135917663574,
"eval_runtime": 0.6036,
"eval_samples_per_second": 76.214,
"eval_steps_per_second": 3.314,
"step": 26
},
{
"epoch": 4.62,
"learning_rate": 4.166666666666667e-05,
"loss": 1.3001,
"step": 30
},
{
"epoch": 4.92,
"eval_accuracy": 0.3695652173913043,
"eval_loss": 1.2625232934951782,
"eval_runtime": 0.6139,
"eval_samples_per_second": 74.935,
"eval_steps_per_second": 3.258,
"step": 32
},
{
"epoch": 6.0,
"eval_accuracy": 0.45652173913043476,
"eval_loss": 1.1305873394012451,
"eval_runtime": 0.6404,
"eval_samples_per_second": 71.832,
"eval_steps_per_second": 3.123,
"step": 39
},
{
"epoch": 6.15,
"learning_rate": 4.938271604938271e-05,
"loss": 1.141,
"step": 40
},
{
"epoch": 6.92,
"eval_accuracy": 0.4782608695652174,
"eval_loss": 1.0509722232818604,
"eval_runtime": 0.5953,
"eval_samples_per_second": 77.271,
"eval_steps_per_second": 3.36,
"step": 45
},
{
"epoch": 7.69,
"learning_rate": 4.783950617283951e-05,
"loss": 0.9784,
"step": 50
},
{
"epoch": 8.0,
"eval_accuracy": 0.5434782608695652,
"eval_loss": 0.9585281014442444,
"eval_runtime": 0.619,
"eval_samples_per_second": 74.311,
"eval_steps_per_second": 3.231,
"step": 52
},
{
"epoch": 8.92,
"eval_accuracy": 0.4782608695652174,
"eval_loss": 0.9895150661468506,
"eval_runtime": 0.6106,
"eval_samples_per_second": 75.334,
"eval_steps_per_second": 3.275,
"step": 58
},
{
"epoch": 9.23,
"learning_rate": 4.62962962962963e-05,
"loss": 0.8533,
"step": 60
},
{
"epoch": 10.0,
"eval_accuracy": 0.5,
"eval_loss": 0.951244592666626,
"eval_runtime": 0.5862,
"eval_samples_per_second": 78.472,
"eval_steps_per_second": 3.412,
"step": 65
},
{
"epoch": 10.77,
"learning_rate": 4.4753086419753084e-05,
"loss": 0.7564,
"step": 70
},
{
"epoch": 10.92,
"eval_accuracy": 0.5217391304347826,
"eval_loss": 0.9521799683570862,
"eval_runtime": 0.6175,
"eval_samples_per_second": 74.496,
"eval_steps_per_second": 3.239,
"step": 71
},
{
"epoch": 12.0,
"eval_accuracy": 0.5,
"eval_loss": 0.9143680930137634,
"eval_runtime": 0.6232,
"eval_samples_per_second": 73.814,
"eval_steps_per_second": 3.209,
"step": 78
},
{
"epoch": 12.31,
"learning_rate": 4.3209876543209875e-05,
"loss": 0.6735,
"step": 80
},
{
"epoch": 12.92,
"eval_accuracy": 0.6086956521739131,
"eval_loss": 0.907021701335907,
"eval_runtime": 0.6191,
"eval_samples_per_second": 74.297,
"eval_steps_per_second": 3.23,
"step": 84
},
{
"epoch": 13.85,
"learning_rate": 4.166666666666667e-05,
"loss": 0.5919,
"step": 90
},
{
"epoch": 14.0,
"eval_accuracy": 0.6521739130434783,
"eval_loss": 0.7915353178977966,
"eval_runtime": 0.6,
"eval_samples_per_second": 76.662,
"eval_steps_per_second": 3.333,
"step": 91
},
{
"epoch": 14.92,
"eval_accuracy": 0.6521739130434783,
"eval_loss": 0.7988886833190918,
"eval_runtime": 0.6334,
"eval_samples_per_second": 72.622,
"eval_steps_per_second": 3.157,
"step": 97
},
{
"epoch": 15.38,
"learning_rate": 4.012345679012346e-05,
"loss": 0.504,
"step": 100
},
{
"epoch": 16.0,
"eval_accuracy": 0.6521739130434783,
"eval_loss": 0.9510163068771362,
"eval_runtime": 0.6024,
"eval_samples_per_second": 76.367,
"eval_steps_per_second": 3.32,
"step": 104
},
{
"epoch": 16.92,
"learning_rate": 3.8580246913580246e-05,
"loss": 0.4422,
"step": 110
},
{
"epoch": 16.92,
"eval_accuracy": 0.6739130434782609,
"eval_loss": 0.8195834159851074,
"eval_runtime": 0.603,
"eval_samples_per_second": 76.291,
"eval_steps_per_second": 3.317,
"step": 110
},
{
"epoch": 18.0,
"eval_accuracy": 0.7608695652173914,
"eval_loss": 0.6628637909889221,
"eval_runtime": 0.6198,
"eval_samples_per_second": 74.213,
"eval_steps_per_second": 3.227,
"step": 117
},
{
"epoch": 18.46,
"learning_rate": 3.7037037037037037e-05,
"loss": 0.4031,
"step": 120
},
{
"epoch": 18.92,
"eval_accuracy": 0.6521739130434783,
"eval_loss": 0.8767060041427612,
"eval_runtime": 0.6311,
"eval_samples_per_second": 72.889,
"eval_steps_per_second": 3.169,
"step": 123
},
{
"epoch": 20.0,
"learning_rate": 3.5493827160493834e-05,
"loss": 0.3752,
"step": 130
},
{
"epoch": 20.0,
"eval_accuracy": 0.6739130434782609,
"eval_loss": 0.8252948522567749,
"eval_runtime": 0.5775,
"eval_samples_per_second": 79.655,
"eval_steps_per_second": 3.463,
"step": 130
},
{
"epoch": 20.92,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 0.7182953953742981,
"eval_runtime": 0.653,
"eval_samples_per_second": 70.442,
"eval_steps_per_second": 3.063,
"step": 136
},
{
"epoch": 21.54,
"learning_rate": 3.395061728395062e-05,
"loss": 0.3424,
"step": 140
},
{
"epoch": 22.0,
"eval_accuracy": 0.6739130434782609,
"eval_loss": 0.88515305519104,
"eval_runtime": 0.6458,
"eval_samples_per_second": 71.225,
"eval_steps_per_second": 3.097,
"step": 143
},
{
"epoch": 22.92,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 0.7359628081321716,
"eval_runtime": 0.6099,
"eval_samples_per_second": 75.427,
"eval_steps_per_second": 3.279,
"step": 149
},
{
"epoch": 23.08,
"learning_rate": 3.240740740740741e-05,
"loss": 0.3293,
"step": 150
},
{
"epoch": 24.0,
"eval_accuracy": 0.8043478260869565,
"eval_loss": 0.7230114340782166,
"eval_runtime": 0.5934,
"eval_samples_per_second": 77.518,
"eval_steps_per_second": 3.37,
"step": 156
},
{
"epoch": 24.62,
"learning_rate": 3.08641975308642e-05,
"loss": 0.2822,
"step": 160
},
{
"epoch": 24.92,
"eval_accuracy": 0.6956521739130435,
"eval_loss": 0.8270708918571472,
"eval_runtime": 0.6168,
"eval_samples_per_second": 74.575,
"eval_steps_per_second": 3.242,
"step": 162
},
{
"epoch": 26.0,
"eval_accuracy": 0.8043478260869565,
"eval_loss": 0.7442592978477478,
"eval_runtime": 0.5915,
"eval_samples_per_second": 77.771,
"eval_steps_per_second": 3.381,
"step": 169
},
{
"epoch": 26.15,
"learning_rate": 2.9320987654320992e-05,
"loss": 0.2623,
"step": 170
},
{
"epoch": 26.92,
"eval_accuracy": 0.6739130434782609,
"eval_loss": 0.9371039271354675,
"eval_runtime": 0.5932,
"eval_samples_per_second": 77.541,
"eval_steps_per_second": 3.371,
"step": 175
},
{
"epoch": 27.69,
"learning_rate": 2.777777777777778e-05,
"loss": 0.2807,
"step": 180
},
{
"epoch": 28.0,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 0.7391819357872009,
"eval_runtime": 0.5861,
"eval_samples_per_second": 78.483,
"eval_steps_per_second": 3.412,
"step": 182
},
{
"epoch": 28.92,
"eval_accuracy": 0.6739130434782609,
"eval_loss": 0.8753820657730103,
"eval_runtime": 0.5828,
"eval_samples_per_second": 78.931,
"eval_steps_per_second": 3.432,
"step": 188
},
{
"epoch": 29.23,
"learning_rate": 2.623456790123457e-05,
"loss": 0.223,
"step": 190
},
{
"epoch": 30.0,
"eval_accuracy": 0.782608695652174,
"eval_loss": 0.7145875096321106,
"eval_runtime": 0.5811,
"eval_samples_per_second": 79.16,
"eval_steps_per_second": 3.442,
"step": 195
},
{
"epoch": 30.77,
"learning_rate": 2.4691358024691357e-05,
"loss": 0.2185,
"step": 200
},
{
"epoch": 30.92,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 0.7702176570892334,
"eval_runtime": 0.5879,
"eval_samples_per_second": 78.249,
"eval_steps_per_second": 3.402,
"step": 201
},
{
"epoch": 32.0,
"eval_accuracy": 0.717391304347826,
"eval_loss": 0.7329592704772949,
"eval_runtime": 0.6173,
"eval_samples_per_second": 74.523,
"eval_steps_per_second": 3.24,
"step": 208
},
{
"epoch": 32.31,
"learning_rate": 2.314814814814815e-05,
"loss": 0.2157,
"step": 210
},
{
"epoch": 32.92,
"eval_accuracy": 0.6956521739130435,
"eval_loss": 0.8817254900932312,
"eval_runtime": 0.5926,
"eval_samples_per_second": 77.63,
"eval_steps_per_second": 3.375,
"step": 214
},
{
"epoch": 33.85,
"learning_rate": 2.1604938271604937e-05,
"loss": 0.2011,
"step": 220
},
{
"epoch": 34.0,
"eval_accuracy": 0.717391304347826,
"eval_loss": 0.7459983229637146,
"eval_runtime": 0.5797,
"eval_samples_per_second": 79.357,
"eval_steps_per_second": 3.45,
"step": 221
},
{
"epoch": 34.92,
"eval_accuracy": 0.6739130434782609,
"eval_loss": 0.9663064479827881,
"eval_runtime": 0.6007,
"eval_samples_per_second": 76.581,
"eval_steps_per_second": 3.33,
"step": 227
},
{
"epoch": 35.38,
"learning_rate": 2.006172839506173e-05,
"loss": 0.2204,
"step": 230
},
{
"epoch": 36.0,
"eval_accuracy": 0.717391304347826,
"eval_loss": 0.8055830597877502,
"eval_runtime": 0.6033,
"eval_samples_per_second": 76.247,
"eval_steps_per_second": 3.315,
"step": 234
},
{
"epoch": 36.92,
"learning_rate": 1.8518518518518518e-05,
"loss": 0.1856,
"step": 240
},
{
"epoch": 36.92,
"eval_accuracy": 0.717391304347826,
"eval_loss": 0.7798697352409363,
"eval_runtime": 0.6168,
"eval_samples_per_second": 74.584,
"eval_steps_per_second": 3.243,
"step": 240
},
{
"epoch": 38.0,
"eval_accuracy": 0.6956521739130435,
"eval_loss": 0.8410213589668274,
"eval_runtime": 0.6255,
"eval_samples_per_second": 73.539,
"eval_steps_per_second": 3.197,
"step": 247
},
{
"epoch": 38.46,
"learning_rate": 1.697530864197531e-05,
"loss": 0.1678,
"step": 250
},
{
"epoch": 38.92,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 0.7334251999855042,
"eval_runtime": 0.6096,
"eval_samples_per_second": 75.455,
"eval_steps_per_second": 3.281,
"step": 253
},
{
"epoch": 40.0,
"learning_rate": 1.54320987654321e-05,
"loss": 0.1682,
"step": 260
},
{
"epoch": 40.0,
"eval_accuracy": 0.6956521739130435,
"eval_loss": 0.8507670760154724,
"eval_runtime": 0.5939,
"eval_samples_per_second": 77.45,
"eval_steps_per_second": 3.367,
"step": 260
},
{
"epoch": 40.92,
"eval_accuracy": 0.6956521739130435,
"eval_loss": 0.8106131553649902,
"eval_runtime": 0.5922,
"eval_samples_per_second": 77.674,
"eval_steps_per_second": 3.377,
"step": 266
},
{
"epoch": 41.54,
"learning_rate": 1.388888888888889e-05,
"loss": 0.1638,
"step": 270
},
{
"epoch": 42.0,
"eval_accuracy": 0.717391304347826,
"eval_loss": 0.8402844071388245,
"eval_runtime": 0.6501,
"eval_samples_per_second": 70.759,
"eval_steps_per_second": 3.076,
"step": 273
},
{
"epoch": 42.92,
"eval_accuracy": 0.6956521739130435,
"eval_loss": 0.9157429337501526,
"eval_runtime": 0.6015,
"eval_samples_per_second": 76.475,
"eval_steps_per_second": 3.325,
"step": 279
},
{
"epoch": 43.08,
"learning_rate": 1.2345679012345678e-05,
"loss": 0.1573,
"step": 280
},
{
"epoch": 44.0,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 0.9271051287651062,
"eval_runtime": 0.617,
"eval_samples_per_second": 74.552,
"eval_steps_per_second": 3.241,
"step": 286
},
{
"epoch": 44.62,
"learning_rate": 1.0802469135802469e-05,
"loss": 0.1476,
"step": 290
},
{
"epoch": 44.92,
"eval_accuracy": 0.717391304347826,
"eval_loss": 0.9167048335075378,
"eval_runtime": 0.5836,
"eval_samples_per_second": 78.822,
"eval_steps_per_second": 3.427,
"step": 292
},
{
"epoch": 46.0,
"eval_accuracy": 0.717391304347826,
"eval_loss": 0.9309194684028625,
"eval_runtime": 0.62,
"eval_samples_per_second": 74.197,
"eval_steps_per_second": 3.226,
"step": 299
},
{
"epoch": 46.15,
"learning_rate": 9.259259259259259e-06,
"loss": 0.1466,
"step": 300
},
{
"epoch": 46.92,
"eval_accuracy": 0.782608695652174,
"eval_loss": 0.8235711455345154,
"eval_runtime": 0.6116,
"eval_samples_per_second": 75.219,
"eval_steps_per_second": 3.27,
"step": 305
},
{
"epoch": 47.69,
"learning_rate": 7.71604938271605e-06,
"loss": 0.1457,
"step": 310
},
{
"epoch": 48.0,
"eval_accuracy": 0.782608695652174,
"eval_loss": 0.8834730386734009,
"eval_runtime": 0.6232,
"eval_samples_per_second": 73.809,
"eval_steps_per_second": 3.209,
"step": 312
},
{
"epoch": 48.92,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 0.9161576628684998,
"eval_runtime": 0.6019,
"eval_samples_per_second": 76.426,
"eval_steps_per_second": 3.323,
"step": 318
},
{
"epoch": 49.23,
"learning_rate": 6.172839506172839e-06,
"loss": 0.1625,
"step": 320
},
{
"epoch": 50.0,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 0.8969017267227173,
"eval_runtime": 0.6023,
"eval_samples_per_second": 76.373,
"eval_steps_per_second": 3.321,
"step": 325
},
{
"epoch": 50.77,
"learning_rate": 4.6296296296296296e-06,
"loss": 0.1163,
"step": 330
},
{
"epoch": 50.92,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 0.9183077812194824,
"eval_runtime": 0.6149,
"eval_samples_per_second": 74.806,
"eval_steps_per_second": 3.252,
"step": 331
},
{
"epoch": 52.0,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 0.9172530770301819,
"eval_runtime": 0.7065,
"eval_samples_per_second": 65.107,
"eval_steps_per_second": 2.831,
"step": 338
},
{
"epoch": 52.31,
"learning_rate": 3.0864197530864196e-06,
"loss": 0.1375,
"step": 340
},
{
"epoch": 52.92,
"eval_accuracy": 0.7608695652173914,
"eval_loss": 0.8886280655860901,
"eval_runtime": 0.5667,
"eval_samples_per_second": 81.175,
"eval_steps_per_second": 3.529,
"step": 344
},
{
"epoch": 53.85,
"learning_rate": 1.5432098765432098e-06,
"loss": 0.1379,
"step": 350
},
{
"epoch": 54.0,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 0.877066969871521,
"eval_runtime": 0.6245,
"eval_samples_per_second": 73.66,
"eval_steps_per_second": 3.203,
"step": 351
},
{
"epoch": 54.92,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 0.885678231716156,
"eval_runtime": 0.6368,
"eval_samples_per_second": 72.233,
"eval_steps_per_second": 3.141,
"step": 357
},
{
"epoch": 55.38,
"learning_rate": 0.0,
"loss": 0.1321,
"step": 360
},
{
"epoch": 55.38,
"eval_accuracy": 0.7391304347826086,
"eval_loss": 0.8883605003356934,
"eval_runtime": 0.618,
"eval_samples_per_second": 74.43,
"eval_steps_per_second": 3.236,
"step": 360
},
{
"epoch": 55.38,
"step": 360,
"total_flos": 1.1276549556120576e+18,
"train_loss": 0.4256666488117642,
"train_runtime": 439.4382,
"train_samples_per_second": 111.825,
"train_steps_per_second": 0.819
}
],
"logging_steps": 10,
"max_steps": 360,
"num_input_tokens_seen": 0,
"num_train_epochs": 60,
"save_steps": 500,
"total_flos": 1.1276549556120576e+18,
"train_batch_size": 32,
"trial_name": null,
"trial_params": null
}