resnet-50-FV2-finetuned-memes / trainer_state.json
paul
End of training
42f7b4f
{
"best_metric": 0.6452859350850078,
"best_model_checkpoint": "resnet-50-FV2-finetuned-memes/checkpoint-400",
"epoch": 19.987654320987655,
"global_step": 400,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.49,
"learning_rate": 3e-05,
"loss": 1.5967,
"step": 10
},
{
"epoch": 0.99,
"learning_rate": 6e-05,
"loss": 1.5763,
"step": 20
},
{
"epoch": 0.99,
"eval_accuracy": 0.4281298299845441,
"eval_f1": 0.26687554630409566,
"eval_loss": 1.5574817657470703,
"eval_precision": 0.29655663588874154,
"eval_recall": 0.4281298299845441,
"eval_runtime": 11.3953,
"eval_samples_per_second": 113.556,
"eval_steps_per_second": 1.843,
"step": 20
},
{
"epoch": 1.49,
"learning_rate": 9e-05,
"loss": 1.5775,
"step": 30
},
{
"epoch": 1.99,
"learning_rate": 0.00012,
"loss": 1.4761,
"step": 40
},
{
"epoch": 1.99,
"eval_accuracy": 0.43431221020092736,
"eval_f1": 0.2630209721259926,
"eval_loss": 1.4423725605010986,
"eval_precision": 0.18862709592961452,
"eval_recall": 0.43431221020092736,
"eval_runtime": 10.1591,
"eval_samples_per_second": 127.373,
"eval_steps_per_second": 2.067,
"step": 40
},
{
"epoch": 2.49,
"learning_rate": 0.00011666666666666667,
"loss": 1.444,
"step": 50
},
{
"epoch": 2.99,
"learning_rate": 0.00011333333333333333,
"loss": 1.3563,
"step": 60
},
{
"epoch": 2.99,
"eval_accuracy": 0.43431221020092736,
"eval_f1": 0.2630209721259926,
"eval_loss": 1.3240060806274414,
"eval_precision": 0.18862709592961452,
"eval_recall": 0.43431221020092736,
"eval_runtime": 10.039,
"eval_samples_per_second": 128.897,
"eval_steps_per_second": 2.092,
"step": 60
},
{
"epoch": 3.49,
"learning_rate": 0.00011,
"loss": 1.3356,
"step": 70
},
{
"epoch": 3.99,
"learning_rate": 0.00010666666666666667,
"loss": 1.2824,
"step": 80
},
{
"epoch": 3.99,
"eval_accuracy": 0.43894899536321486,
"eval_f1": 0.27337332937410136,
"eval_loss": 1.263592004776001,
"eval_precision": 0.3097252114961456,
"eval_recall": 0.43894899536321486,
"eval_runtime": 10.0514,
"eval_samples_per_second": 128.739,
"eval_steps_per_second": 2.089,
"step": 80
},
{
"epoch": 4.49,
"learning_rate": 0.00010333333333333334,
"loss": 1.2695,
"step": 90
},
{
"epoch": 4.99,
"learning_rate": 0.0001,
"loss": 1.2315,
"step": 100
},
{
"epoch": 4.99,
"eval_accuracy": 0.4528593508500773,
"eval_f1": 0.30415713999389604,
"eval_loss": 1.2118711471557617,
"eval_precision": 0.3235903479528001,
"eval_recall": 0.4528593508500773,
"eval_runtime": 10.1242,
"eval_samples_per_second": 127.813,
"eval_steps_per_second": 2.074,
"step": 100
},
{
"epoch": 5.49,
"learning_rate": 9.666666666666667e-05,
"loss": 1.2096,
"step": 110
},
{
"epoch": 5.99,
"learning_rate": 9.333333333333334e-05,
"loss": 1.1956,
"step": 120
},
{
"epoch": 5.99,
"eval_accuracy": 0.4899536321483771,
"eval_f1": 0.3692247614974613,
"eval_loss": 1.1763864755630493,
"eval_precision": 0.3730719437429542,
"eval_recall": 0.4899536321483771,
"eval_runtime": 10.0285,
"eval_samples_per_second": 129.033,
"eval_steps_per_second": 2.094,
"step": 120
},
{
"epoch": 6.49,
"learning_rate": 9e-05,
"loss": 1.1727,
"step": 130
},
{
"epoch": 6.99,
"learning_rate": 8.666666666666667e-05,
"loss": 1.1452,
"step": 140
},
{
"epoch": 6.99,
"eval_accuracy": 0.5146831530139103,
"eval_f1": 0.4090229013083186,
"eval_loss": 1.1424295902252197,
"eval_precision": 0.396316505367188,
"eval_recall": 0.5146831530139103,
"eval_runtime": 11.1,
"eval_samples_per_second": 116.577,
"eval_steps_per_second": 1.892,
"step": 140
},
{
"epoch": 7.49,
"learning_rate": 8.333333333333333e-05,
"loss": 1.1455,
"step": 150
},
{
"epoch": 7.99,
"learning_rate": 7.999999999999999e-05,
"loss": 1.1076,
"step": 160
},
{
"epoch": 7.99,
"eval_accuracy": 0.5370942812982998,
"eval_f1": 0.4392356918841944,
"eval_loss": 1.1189799308776855,
"eval_precision": 0.41207140655215574,
"eval_recall": 0.5370942812982998,
"eval_runtime": 10.2542,
"eval_samples_per_second": 126.192,
"eval_steps_per_second": 2.048,
"step": 160
},
{
"epoch": 8.49,
"learning_rate": 7.666666666666667e-05,
"loss": 1.1204,
"step": 170
},
{
"epoch": 8.99,
"learning_rate": 7.333333333333334e-05,
"loss": 1.0679,
"step": 180
},
{
"epoch": 8.99,
"eval_accuracy": 0.5718701700154559,
"eval_f1": 0.48309150932194556,
"eval_loss": 1.0824542045593262,
"eval_precision": 0.44653696889067535,
"eval_recall": 0.5718701700154559,
"eval_runtime": 10.0099,
"eval_samples_per_second": 129.272,
"eval_steps_per_second": 2.098,
"step": 180
},
{
"epoch": 9.49,
"learning_rate": 7.000000000000001e-05,
"loss": 1.0551,
"step": 190
},
{
"epoch": 9.99,
"learning_rate": 6.666666666666667e-05,
"loss": 1.0432,
"step": 200
},
{
"epoch": 9.99,
"eval_accuracy": 0.5749613601236476,
"eval_f1": 0.4930062944584295,
"eval_loss": 1.0481715202331543,
"eval_precision": 0.5404301068833355,
"eval_recall": 0.5749613601236476,
"eval_runtime": 19.2474,
"eval_samples_per_second": 67.23,
"eval_steps_per_second": 1.091,
"step": 200
},
{
"epoch": 10.49,
"learning_rate": 6.333333333333333e-05,
"loss": 1.0465,
"step": 210
},
{
"epoch": 10.99,
"learning_rate": 6e-05,
"loss": 0.9903,
"step": 220
},
{
"epoch": 10.99,
"eval_accuracy": 0.5958268933539412,
"eval_f1": 0.5240773887363929,
"eval_loss": 1.0275342464447021,
"eval_precision": 0.545875829974407,
"eval_recall": 0.5958268933539412,
"eval_runtime": 9.9464,
"eval_samples_per_second": 130.097,
"eval_steps_per_second": 2.111,
"step": 220
},
{
"epoch": 11.49,
"learning_rate": 5.6666666666666664e-05,
"loss": 1.0046,
"step": 230
},
{
"epoch": 11.99,
"learning_rate": 5.333333333333333e-05,
"loss": 0.9675,
"step": 240
},
{
"epoch": 11.99,
"eval_accuracy": 0.6051004636785162,
"eval_f1": 0.5379053813016494,
"eval_loss": 1.0145165920257568,
"eval_precision": 0.5349771722020813,
"eval_recall": 0.6051004636785162,
"eval_runtime": 10.1612,
"eval_samples_per_second": 127.347,
"eval_steps_per_second": 2.067,
"step": 240
},
{
"epoch": 12.49,
"learning_rate": 5e-05,
"loss": 0.997,
"step": 250
},
{
"epoch": 12.99,
"learning_rate": 4.666666666666667e-05,
"loss": 0.9335,
"step": 260
},
{
"epoch": 12.99,
"eval_accuracy": 0.6174652241112828,
"eval_f1": 0.552720253591733,
"eval_loss": 0.9859771728515625,
"eval_precision": 0.5536990181229813,
"eval_recall": 0.6174652241112828,
"eval_runtime": 11.4078,
"eval_samples_per_second": 113.431,
"eval_steps_per_second": 1.841,
"step": 260
},
{
"epoch": 13.49,
"learning_rate": 4.3333333333333334e-05,
"loss": 0.9501,
"step": 270
},
{
"epoch": 13.99,
"learning_rate": 3.9999999999999996e-05,
"loss": 0.9157,
"step": 280
},
{
"epoch": 13.99,
"eval_accuracy": 0.6105100463678517,
"eval_f1": 0.5504384069346341,
"eval_loss": 0.9683175683021545,
"eval_precision": 0.5386397521561105,
"eval_recall": 0.6105100463678517,
"eval_runtime": 10.0837,
"eval_samples_per_second": 128.326,
"eval_steps_per_second": 2.083,
"step": 280
},
{
"epoch": 14.49,
"learning_rate": 3.666666666666667e-05,
"loss": 0.9324,
"step": 290
},
{
"epoch": 14.99,
"learning_rate": 3.3333333333333335e-05,
"loss": 0.8901,
"step": 300
},
{
"epoch": 14.99,
"eval_accuracy": 0.6352395672333848,
"eval_f1": 0.5833124251549139,
"eval_loss": 0.95584636926651,
"eval_precision": 0.5686172096380677,
"eval_recall": 0.6352395672333848,
"eval_runtime": 11.1778,
"eval_samples_per_second": 115.766,
"eval_steps_per_second": 1.879,
"step": 300
},
{
"epoch": 15.49,
"learning_rate": 3e-05,
"loss": 0.9157,
"step": 310
},
{
"epoch": 15.99,
"learning_rate": 2.6666666666666667e-05,
"loss": 0.8722,
"step": 320
},
{
"epoch": 15.99,
"eval_accuracy": 0.634466769706337,
"eval_f1": 0.5807225066585998,
"eval_loss": 0.9381548762321472,
"eval_precision": 0.5656504472537988,
"eval_recall": 0.634466769706337,
"eval_runtime": 10.0783,
"eval_samples_per_second": 128.395,
"eval_steps_per_second": 2.084,
"step": 320
},
{
"epoch": 16.49,
"learning_rate": 2.3333333333333336e-05,
"loss": 0.9132,
"step": 330
},
{
"epoch": 16.99,
"learning_rate": 1.9999999999999998e-05,
"loss": 0.854,
"step": 340
},
{
"epoch": 16.99,
"eval_accuracy": 0.6375579598145286,
"eval_f1": 0.5855599844273062,
"eval_loss": 0.9322208166122437,
"eval_precision": 0.5622591012744048,
"eval_recall": 0.6375579598145286,
"eval_runtime": 10.1911,
"eval_samples_per_second": 126.973,
"eval_steps_per_second": 2.061,
"step": 340
},
{
"epoch": 17.49,
"learning_rate": 1.6666666666666667e-05,
"loss": 0.8979,
"step": 350
},
{
"epoch": 17.99,
"learning_rate": 1.3333333333333333e-05,
"loss": 0.8494,
"step": 360
},
{
"epoch": 17.99,
"eval_accuracy": 0.6421947449768161,
"eval_f1": 0.5918308732628852,
"eval_loss": 0.9286540746688843,
"eval_precision": 0.6675486262621129,
"eval_recall": 0.6421947449768161,
"eval_runtime": 11.41,
"eval_samples_per_second": 113.409,
"eval_steps_per_second": 1.84,
"step": 360
},
{
"epoch": 18.49,
"learning_rate": 9.999999999999999e-06,
"loss": 0.8649,
"step": 370
},
{
"epoch": 18.99,
"learning_rate": 6.666666666666667e-06,
"loss": 0.8652,
"step": 380
},
{
"epoch": 18.99,
"eval_accuracy": 0.6398763523956723,
"eval_f1": 0.586308244884445,
"eval_loss": 0.9211938977241516,
"eval_precision": 0.5640414016020209,
"eval_recall": 0.6398763523956723,
"eval_runtime": 10.0413,
"eval_samples_per_second": 128.867,
"eval_steps_per_second": 2.091,
"step": 380
},
{
"epoch": 19.49,
"learning_rate": 3.3333333333333333e-06,
"loss": 0.8826,
"step": 390
},
{
"epoch": 19.99,
"learning_rate": 0.0,
"loss": 0.846,
"step": 400
},
{
"epoch": 19.99,
"eval_accuracy": 0.6452859350850078,
"eval_f1": 0.5963647629954705,
"eval_loss": 0.9262650012969971,
"eval_precision": 0.5727919568038408,
"eval_recall": 0.6452859350850078,
"eval_runtime": 10.2246,
"eval_samples_per_second": 126.557,
"eval_steps_per_second": 2.054,
"step": 400
},
{
"epoch": 19.99,
"step": 400,
"total_flos": 2.1968670326740623e+18,
"train_loss": 1.0949385786056518,
"train_runtime": 1181.8167,
"train_samples_per_second": 87.56,
"train_steps_per_second": 0.338
}
],
"max_steps": 400,
"num_train_epochs": 20,
"total_flos": 2.1968670326740623e+18,
"trial_name": null,
"trial_params": null
}