BxSD_RGBCROP_Aug16F-8B16F-GACWDlr / trainer_state.json
TanAlexanderlz's picture
Model save
22d464e verified
{
"best_global_step": 392,
"best_metric": 0.9479166666666666,
"best_model_checkpoint": "BxSD_RGBCROP_Aug16F-8B16F-GACWDlr/checkpoint-392",
"epoch": 11.025112107623318,
"eval_steps": 500,
"global_step": 672,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.004484304932735426,
"grad_norm": 3.1429996490478516,
"learning_rate": 4.0358744394618834e-07,
"loss": 0.7032,
"step": 10
},
{
"epoch": 0.008968609865470852,
"grad_norm": 3.9541077613830566,
"learning_rate": 8.520179372197309e-07,
"loss": 0.6956,
"step": 20
},
{
"epoch": 0.013452914798206279,
"grad_norm": 3.382608413696289,
"learning_rate": 1.3004484304932734e-06,
"loss": 0.7003,
"step": 30
},
{
"epoch": 0.017937219730941704,
"grad_norm": 3.3949358463287354,
"learning_rate": 1.7488789237668164e-06,
"loss": 0.6888,
"step": 40
},
{
"epoch": 0.02242152466367713,
"grad_norm": 2.802041530609131,
"learning_rate": 2.197309417040359e-06,
"loss": 0.663,
"step": 50
},
{
"epoch": 0.025112107623318385,
"eval_accuracy": 0.6354166666666666,
"eval_loss": 0.6602393984794617,
"eval_runtime": 30.0703,
"eval_samples_per_second": 6.385,
"eval_steps_per_second": 0.798,
"step": 56
},
{
"epoch": 1.0017937219730941,
"grad_norm": 3.6131398677825928,
"learning_rate": 2.6457399103139016e-06,
"loss": 0.6442,
"step": 60
},
{
"epoch": 1.0062780269058296,
"grad_norm": 3.0706064701080322,
"learning_rate": 3.0941704035874443e-06,
"loss": 0.5936,
"step": 70
},
{
"epoch": 1.010762331838565,
"grad_norm": 3.5030055046081543,
"learning_rate": 3.542600896860987e-06,
"loss": 0.5627,
"step": 80
},
{
"epoch": 1.0152466367713004,
"grad_norm": 4.468491077423096,
"learning_rate": 3.991031390134529e-06,
"loss": 0.5351,
"step": 90
},
{
"epoch": 1.0197309417040359,
"grad_norm": 3.892331600189209,
"learning_rate": 4.439461883408072e-06,
"loss": 0.4513,
"step": 100
},
{
"epoch": 1.0242152466367713,
"grad_norm": 4.7978291511535645,
"learning_rate": 4.887892376681615e-06,
"loss": 0.4419,
"step": 110
},
{
"epoch": 1.0251121076233183,
"eval_accuracy": 0.8125,
"eval_loss": 0.4702857434749603,
"eval_runtime": 29.1485,
"eval_samples_per_second": 6.587,
"eval_steps_per_second": 0.823,
"step": 112
},
{
"epoch": 2.0035874439461883,
"grad_norm": 2.970027208328247,
"learning_rate": 5.3363228699551574e-06,
"loss": 0.3586,
"step": 120
},
{
"epoch": 2.008071748878924,
"grad_norm": 4.3814697265625,
"learning_rate": 5.7847533632287e-06,
"loss": 0.2856,
"step": 130
},
{
"epoch": 2.012556053811659,
"grad_norm": 3.017439603805542,
"learning_rate": 6.233183856502243e-06,
"loss": 0.2565,
"step": 140
},
{
"epoch": 2.017040358744395,
"grad_norm": 7.53488302230835,
"learning_rate": 6.681614349775786e-06,
"loss": 0.2532,
"step": 150
},
{
"epoch": 2.02152466367713,
"grad_norm": 1.6428829431533813,
"learning_rate": 7.1300448430493275e-06,
"loss": 0.1752,
"step": 160
},
{
"epoch": 2.0251121076233183,
"eval_accuracy": 0.890625,
"eval_loss": 0.3134443759918213,
"eval_runtime": 28.705,
"eval_samples_per_second": 6.689,
"eval_steps_per_second": 0.836,
"step": 168
},
{
"epoch": 3.000896860986547,
"grad_norm": 1.969995379447937,
"learning_rate": 7.57847533632287e-06,
"loss": 0.1334,
"step": 170
},
{
"epoch": 3.0053811659192826,
"grad_norm": 1.8544121980667114,
"learning_rate": 8.026905829596413e-06,
"loss": 0.0963,
"step": 180
},
{
"epoch": 3.009865470852018,
"grad_norm": 3.637763023376465,
"learning_rate": 8.475336322869956e-06,
"loss": 0.062,
"step": 190
},
{
"epoch": 3.0143497757847535,
"grad_norm": 1.3532997369766235,
"learning_rate": 8.923766816143498e-06,
"loss": 0.0643,
"step": 200
},
{
"epoch": 3.0188340807174887,
"grad_norm": 0.3547247052192688,
"learning_rate": 9.372197309417041e-06,
"loss": 0.0566,
"step": 210
},
{
"epoch": 3.0233183856502244,
"grad_norm": 6.522655487060547,
"learning_rate": 9.820627802690584e-06,
"loss": 0.0656,
"step": 220
},
{
"epoch": 3.0251121076233183,
"eval_accuracy": 0.9375,
"eval_loss": 0.2310737818479538,
"eval_runtime": 29.4697,
"eval_samples_per_second": 6.515,
"eval_steps_per_second": 0.814,
"step": 224
},
{
"epoch": 4.002690582959641,
"grad_norm": 0.4656350910663605,
"learning_rate": 9.970104633781765e-06,
"loss": 0.0137,
"step": 230
},
{
"epoch": 4.0071748878923765,
"grad_norm": 0.16051346063613892,
"learning_rate": 9.920279023418038e-06,
"loss": 0.0085,
"step": 240
},
{
"epoch": 4.011659192825112,
"grad_norm": 0.23789650201797485,
"learning_rate": 9.87045341305431e-06,
"loss": 0.0135,
"step": 250
},
{
"epoch": 4.016143497757848,
"grad_norm": 0.908409595489502,
"learning_rate": 9.820627802690584e-06,
"loss": 0.0069,
"step": 260
},
{
"epoch": 4.020627802690583,
"grad_norm": 0.11391621083021164,
"learning_rate": 9.770802192326857e-06,
"loss": 0.0106,
"step": 270
},
{
"epoch": 4.025112107623318,
"grad_norm": 0.08297699689865112,
"learning_rate": 9.72097658196313e-06,
"loss": 0.0046,
"step": 280
},
{
"epoch": 4.025112107623318,
"eval_accuracy": 0.9427083333333334,
"eval_loss": 0.28078916668891907,
"eval_runtime": 29.5695,
"eval_samples_per_second": 6.493,
"eval_steps_per_second": 0.812,
"step": 280
},
{
"epoch": 5.004484304932736,
"grad_norm": 0.06622310727834702,
"learning_rate": 9.671150971599403e-06,
"loss": 0.0044,
"step": 290
},
{
"epoch": 5.00896860986547,
"grad_norm": 0.0407695509493351,
"learning_rate": 9.621325361235676e-06,
"loss": 0.0022,
"step": 300
},
{
"epoch": 5.013452914798206,
"grad_norm": 0.039162054657936096,
"learning_rate": 9.571499750871948e-06,
"loss": 0.0021,
"step": 310
},
{
"epoch": 5.017937219730942,
"grad_norm": 0.03691912814974785,
"learning_rate": 9.521674140508222e-06,
"loss": 0.0016,
"step": 320
},
{
"epoch": 5.022421524663677,
"grad_norm": 0.02548583783209324,
"learning_rate": 9.471848530144496e-06,
"loss": 0.0012,
"step": 330
},
{
"epoch": 5.025112107623318,
"eval_accuracy": 0.9427083333333334,
"eval_loss": 0.2592454254627228,
"eval_runtime": 29.1301,
"eval_samples_per_second": 6.591,
"eval_steps_per_second": 0.824,
"step": 336
},
{
"epoch": 6.001793721973094,
"grad_norm": 0.022539280354976654,
"learning_rate": 9.422022919780767e-06,
"loss": 0.0009,
"step": 340
},
{
"epoch": 6.00627802690583,
"grad_norm": 0.024405544623732567,
"learning_rate": 9.372197309417041e-06,
"loss": 0.001,
"step": 350
},
{
"epoch": 6.010762331838565,
"grad_norm": 0.020192157477140427,
"learning_rate": 9.322371699053315e-06,
"loss": 0.0008,
"step": 360
},
{
"epoch": 6.0152466367713,
"grad_norm": 0.01488098967820406,
"learning_rate": 9.272546088689587e-06,
"loss": 0.0008,
"step": 370
},
{
"epoch": 6.019730941704036,
"grad_norm": 0.033892132341861725,
"learning_rate": 9.22272047832586e-06,
"loss": 0.0009,
"step": 380
},
{
"epoch": 6.024215246636771,
"grad_norm": 0.01757296919822693,
"learning_rate": 9.172894867962134e-06,
"loss": 0.0007,
"step": 390
},
{
"epoch": 6.025112107623318,
"eval_accuracy": 0.9479166666666666,
"eval_loss": 0.2576257288455963,
"eval_runtime": 29.5146,
"eval_samples_per_second": 6.505,
"eval_steps_per_second": 0.813,
"step": 392
},
{
"epoch": 7.003587443946189,
"grad_norm": 0.013150567188858986,
"learning_rate": 9.123069257598406e-06,
"loss": 0.0007,
"step": 400
},
{
"epoch": 7.0080717488789235,
"grad_norm": 0.015239037573337555,
"learning_rate": 9.07324364723468e-06,
"loss": 0.0006,
"step": 410
},
{
"epoch": 7.012556053811659,
"grad_norm": 0.018098143860697746,
"learning_rate": 9.023418036870953e-06,
"loss": 0.0006,
"step": 420
},
{
"epoch": 7.017040358744395,
"grad_norm": 0.010625138878822327,
"learning_rate": 8.973592426507225e-06,
"loss": 0.0005,
"step": 430
},
{
"epoch": 7.0215246636771305,
"grad_norm": 0.014908026903867722,
"learning_rate": 8.923766816143498e-06,
"loss": 0.0005,
"step": 440
},
{
"epoch": 7.025112107623318,
"eval_accuracy": 0.9479166666666666,
"eval_loss": 0.2630920112133026,
"eval_runtime": 28.1464,
"eval_samples_per_second": 6.821,
"eval_steps_per_second": 0.853,
"step": 448
},
{
"epoch": 8.000896860986547,
"grad_norm": 0.014149523340165615,
"learning_rate": 8.873941205779772e-06,
"loss": 0.0005,
"step": 450
},
{
"epoch": 8.005381165919282,
"grad_norm": 0.013675632886588573,
"learning_rate": 8.824115595416045e-06,
"loss": 0.0005,
"step": 460
},
{
"epoch": 8.009865470852018,
"grad_norm": 0.021204130724072456,
"learning_rate": 8.774289985052317e-06,
"loss": 0.0005,
"step": 470
},
{
"epoch": 8.014349775784753,
"grad_norm": 0.01068932469934225,
"learning_rate": 8.724464374688591e-06,
"loss": 0.0004,
"step": 480
},
{
"epoch": 8.01883408071749,
"grad_norm": 0.011664162389934063,
"learning_rate": 8.674638764324865e-06,
"loss": 0.0004,
"step": 490
},
{
"epoch": 8.023318385650224,
"grad_norm": 0.015364346094429493,
"learning_rate": 8.624813153961136e-06,
"loss": 0.0004,
"step": 500
},
{
"epoch": 8.025112107623318,
"eval_accuracy": 0.9479166666666666,
"eval_loss": 0.2744747996330261,
"eval_runtime": 30.499,
"eval_samples_per_second": 6.295,
"eval_steps_per_second": 0.787,
"step": 504
},
{
"epoch": 9.00269058295964,
"grad_norm": 0.009640182368457317,
"learning_rate": 8.57498754359741e-06,
"loss": 0.0004,
"step": 510
},
{
"epoch": 9.007174887892377,
"grad_norm": 0.008297263644635677,
"learning_rate": 8.525161933233684e-06,
"loss": 0.0004,
"step": 520
},
{
"epoch": 9.011659192825112,
"grad_norm": 0.00965182390064001,
"learning_rate": 8.475336322869956e-06,
"loss": 0.0004,
"step": 530
},
{
"epoch": 9.016143497757847,
"grad_norm": 0.008539954200387001,
"learning_rate": 8.42551071250623e-06,
"loss": 0.0003,
"step": 540
},
{
"epoch": 9.020627802690584,
"grad_norm": 0.01318803709000349,
"learning_rate": 8.375685102142503e-06,
"loss": 0.0003,
"step": 550
},
{
"epoch": 9.025112107623318,
"grad_norm": 0.013389434665441513,
"learning_rate": 8.325859491778775e-06,
"loss": 0.0004,
"step": 560
},
{
"epoch": 9.025112107623318,
"eval_accuracy": 0.9479166666666666,
"eval_loss": 0.28136080503463745,
"eval_runtime": 28.6966,
"eval_samples_per_second": 6.691,
"eval_steps_per_second": 0.836,
"step": 560
},
{
"epoch": 10.004484304932735,
"grad_norm": 0.0122822942212224,
"learning_rate": 8.276033881415048e-06,
"loss": 0.0003,
"step": 570
},
{
"epoch": 10.008968609865471,
"grad_norm": 0.030896110460162163,
"learning_rate": 8.226208271051322e-06,
"loss": 0.0003,
"step": 580
},
{
"epoch": 10.013452914798206,
"grad_norm": 0.012824727222323418,
"learning_rate": 8.176382660687594e-06,
"loss": 0.0003,
"step": 590
},
{
"epoch": 10.01793721973094,
"grad_norm": 0.00790180079638958,
"learning_rate": 8.126557050323867e-06,
"loss": 0.0003,
"step": 600
},
{
"epoch": 10.022421524663677,
"grad_norm": 0.011255297809839249,
"learning_rate": 8.076731439960141e-06,
"loss": 0.0003,
"step": 610
},
{
"epoch": 10.025112107623318,
"eval_accuracy": 0.9479166666666666,
"eval_loss": 0.286301851272583,
"eval_runtime": 30.4742,
"eval_samples_per_second": 6.3,
"eval_steps_per_second": 0.788,
"step": 616
},
{
"epoch": 11.001793721973094,
"grad_norm": 0.009772414341568947,
"learning_rate": 8.026905829596413e-06,
"loss": 0.0003,
"step": 620
},
{
"epoch": 11.00627802690583,
"grad_norm": 0.006887427996844053,
"learning_rate": 7.977080219232686e-06,
"loss": 0.0003,
"step": 630
},
{
"epoch": 11.010762331838565,
"grad_norm": 0.0069274078123271465,
"learning_rate": 7.92725460886896e-06,
"loss": 0.0003,
"step": 640
},
{
"epoch": 11.0152466367713,
"grad_norm": 0.010375886224210262,
"learning_rate": 7.877428998505232e-06,
"loss": 0.0003,
"step": 650
},
{
"epoch": 11.019730941704037,
"grad_norm": 0.006271818652749062,
"learning_rate": 7.827603388141506e-06,
"loss": 0.0002,
"step": 660
},
{
"epoch": 11.024215246636771,
"grad_norm": 0.006681330036371946,
"learning_rate": 7.77777777777778e-06,
"loss": 0.0002,
"step": 670
},
{
"epoch": 11.025112107623318,
"eval_accuracy": 0.9479166666666666,
"eval_loss": 0.28504976630210876,
"eval_runtime": 30.651,
"eval_samples_per_second": 6.264,
"eval_steps_per_second": 0.783,
"step": 672
},
{
"epoch": 11.025112107623318,
"step": 672,
"total_flos": 1.336778091585287e+19,
"train_loss": 0.12756322894849637,
"train_runtime": 3434.3534,
"train_samples_per_second": 10.389,
"train_steps_per_second": 0.649
},
{
"epoch": 11.025112107623318,
"eval_accuracy": 0.958974358974359,
"eval_loss": 0.1425883024930954,
"eval_runtime": 29.0317,
"eval_samples_per_second": 6.717,
"eval_steps_per_second": 0.861,
"step": 672
},
{
"epoch": 11.025112107623318,
"eval_accuracy": 0.958974358974359,
"eval_loss": 0.14259304106235504,
"eval_runtime": 28.0432,
"eval_samples_per_second": 6.954,
"eval_steps_per_second": 0.891,
"step": 672
}
],
"logging_steps": 10,
"max_steps": 2230,
"num_input_tokens_seen": 0,
"num_train_epochs": 9223372036854775807,
"save_steps": 500,
"stateful_callbacks": {
"EarlyStoppingCallback": {
"args": {
"early_stopping_patience": 5,
"early_stopping_threshold": 0.0
},
"attributes": {
"early_stopping_patience_counter": 5
}
},
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 1.336778091585287e+19,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}