flatala-research's picture
End of training
3a0dc97 verified
raw
history blame
17.6 kB
{
"best_metric": 0.6019417475728155,
"best_model_checkpoint": "videomae-base-finetuned-kinetics-finetuned-conflab-traj-direction-rh-v10/checkpoint-819",
"epoch": 6.135531135531136,
"eval_steps": 500,
"global_step": 819,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.01221001221001221,
"grad_norm": 8.122791290283203,
"learning_rate": 6.0975609756097564e-06,
"loss": 2.1095,
"step": 10
},
{
"epoch": 0.02442002442002442,
"grad_norm": 6.661695957183838,
"learning_rate": 1.2195121951219513e-05,
"loss": 2.0298,
"step": 20
},
{
"epoch": 0.03663003663003663,
"grad_norm": 7.086618900299072,
"learning_rate": 1.8292682926829268e-05,
"loss": 2.0189,
"step": 30
},
{
"epoch": 0.04884004884004884,
"grad_norm": 8.178045272827148,
"learning_rate": 2.4390243902439026e-05,
"loss": 2.0099,
"step": 40
},
{
"epoch": 0.06105006105006105,
"grad_norm": 7.585304260253906,
"learning_rate": 3.048780487804878e-05,
"loss": 1.9196,
"step": 50
},
{
"epoch": 0.07326007326007326,
"grad_norm": 7.4838409423828125,
"learning_rate": 3.6585365853658535e-05,
"loss": 1.9165,
"step": 60
},
{
"epoch": 0.08547008547008547,
"grad_norm": 6.174314498901367,
"learning_rate": 4.26829268292683e-05,
"loss": 1.8358,
"step": 70
},
{
"epoch": 0.09768009768009768,
"grad_norm": 5.699541091918945,
"learning_rate": 4.878048780487805e-05,
"loss": 1.8794,
"step": 80
},
{
"epoch": 0.10989010989010989,
"grad_norm": 6.571558475494385,
"learning_rate": 4.94572591587517e-05,
"loss": 1.8931,
"step": 90
},
{
"epoch": 0.1221001221001221,
"grad_norm": 7.583756446838379,
"learning_rate": 4.877883310719132e-05,
"loss": 1.8477,
"step": 100
},
{
"epoch": 0.1343101343101343,
"grad_norm": 6.113456726074219,
"learning_rate": 4.810040705563094e-05,
"loss": 1.989,
"step": 110
},
{
"epoch": 0.14407814407814407,
"eval_accuracy": 0.2669902912621359,
"eval_loss": 1.8786594867706299,
"eval_runtime": 28.8858,
"eval_samples_per_second": 7.132,
"eval_steps_per_second": 0.9,
"step": 118
},
{
"epoch": 1.0024420024420024,
"grad_norm": 6.775885105133057,
"learning_rate": 4.742198100407056e-05,
"loss": 1.7872,
"step": 120
},
{
"epoch": 1.0146520146520146,
"grad_norm": 5.531322956085205,
"learning_rate": 4.674355495251018e-05,
"loss": 1.8331,
"step": 130
},
{
"epoch": 1.0268620268620268,
"grad_norm": 7.1956353187561035,
"learning_rate": 4.60651289009498e-05,
"loss": 1.7703,
"step": 140
},
{
"epoch": 1.0390720390720392,
"grad_norm": 8.779479026794434,
"learning_rate": 4.5386702849389416e-05,
"loss": 1.6198,
"step": 150
},
{
"epoch": 1.0512820512820513,
"grad_norm": 10.621439933776855,
"learning_rate": 4.470827679782904e-05,
"loss": 1.6431,
"step": 160
},
{
"epoch": 1.0634920634920635,
"grad_norm": 7.896602630615234,
"learning_rate": 4.402985074626866e-05,
"loss": 1.6686,
"step": 170
},
{
"epoch": 1.0757020757020757,
"grad_norm": 6.063083171844482,
"learning_rate": 4.335142469470828e-05,
"loss": 1.4762,
"step": 180
},
{
"epoch": 1.0879120879120878,
"grad_norm": 10.578692436218262,
"learning_rate": 4.26729986431479e-05,
"loss": 1.6948,
"step": 190
},
{
"epoch": 1.1001221001221002,
"grad_norm": 8.612629890441895,
"learning_rate": 4.199457259158752e-05,
"loss": 1.5687,
"step": 200
},
{
"epoch": 1.1123321123321124,
"grad_norm": 8.634360313415527,
"learning_rate": 4.131614654002714e-05,
"loss": 1.4138,
"step": 210
},
{
"epoch": 1.1245421245421245,
"grad_norm": 8.842486381530762,
"learning_rate": 4.063772048846676e-05,
"loss": 1.4202,
"step": 220
},
{
"epoch": 1.1367521367521367,
"grad_norm": 8.472060203552246,
"learning_rate": 3.995929443690638e-05,
"loss": 1.3092,
"step": 230
},
{
"epoch": 1.144078144078144,
"eval_accuracy": 0.42718446601941745,
"eval_loss": 1.6427617073059082,
"eval_runtime": 21.3576,
"eval_samples_per_second": 9.645,
"eval_steps_per_second": 1.217,
"step": 236
},
{
"epoch": 2.004884004884005,
"grad_norm": 9.463373184204102,
"learning_rate": 3.9280868385345995e-05,
"loss": 1.5065,
"step": 240
},
{
"epoch": 2.017094017094017,
"grad_norm": 8.447351455688477,
"learning_rate": 3.860244233378562e-05,
"loss": 1.3116,
"step": 250
},
{
"epoch": 2.029304029304029,
"grad_norm": 9.61158561706543,
"learning_rate": 3.792401628222524e-05,
"loss": 1.0903,
"step": 260
},
{
"epoch": 2.0415140415140414,
"grad_norm": 10.502912521362305,
"learning_rate": 3.724559023066486e-05,
"loss": 1.1713,
"step": 270
},
{
"epoch": 2.0537240537240535,
"grad_norm": 11.798907279968262,
"learning_rate": 3.656716417910448e-05,
"loss": 1.1561,
"step": 280
},
{
"epoch": 2.065934065934066,
"grad_norm": 16.395263671875,
"learning_rate": 3.58887381275441e-05,
"loss": 1.2809,
"step": 290
},
{
"epoch": 2.0781440781440783,
"grad_norm": 11.183971405029297,
"learning_rate": 3.521031207598372e-05,
"loss": 1.1276,
"step": 300
},
{
"epoch": 2.0903540903540905,
"grad_norm": 10.743521690368652,
"learning_rate": 3.453188602442334e-05,
"loss": 1.3756,
"step": 310
},
{
"epoch": 2.1025641025641026,
"grad_norm": 8.513188362121582,
"learning_rate": 3.385345997286296e-05,
"loss": 0.9218,
"step": 320
},
{
"epoch": 2.114774114774115,
"grad_norm": 12.773633003234863,
"learning_rate": 3.3175033921302575e-05,
"loss": 1.2335,
"step": 330
},
{
"epoch": 2.126984126984127,
"grad_norm": 11.963506698608398,
"learning_rate": 3.24966078697422e-05,
"loss": 1.1391,
"step": 340
},
{
"epoch": 2.139194139194139,
"grad_norm": 10.355384826660156,
"learning_rate": 3.181818181818182e-05,
"loss": 1.0096,
"step": 350
},
{
"epoch": 2.144078144078144,
"eval_accuracy": 0.47572815533980584,
"eval_loss": 1.4351158142089844,
"eval_runtime": 27.857,
"eval_samples_per_second": 7.395,
"eval_steps_per_second": 0.933,
"step": 354
},
{
"epoch": 3.0073260073260073,
"grad_norm": 10.925836563110352,
"learning_rate": 3.113975576662144e-05,
"loss": 0.9783,
"step": 360
},
{
"epoch": 3.0195360195360195,
"grad_norm": 6.559803009033203,
"learning_rate": 3.046132971506106e-05,
"loss": 0.8608,
"step": 370
},
{
"epoch": 3.0317460317460316,
"grad_norm": 10.63405990600586,
"learning_rate": 2.9782903663500678e-05,
"loss": 0.7684,
"step": 380
},
{
"epoch": 3.043956043956044,
"grad_norm": 11.322102546691895,
"learning_rate": 2.91044776119403e-05,
"loss": 0.8308,
"step": 390
},
{
"epoch": 3.056166056166056,
"grad_norm": 5.719593524932861,
"learning_rate": 2.842605156037992e-05,
"loss": 0.7868,
"step": 400
},
{
"epoch": 3.0683760683760686,
"grad_norm": 13.967921257019043,
"learning_rate": 2.7747625508819542e-05,
"loss": 0.7707,
"step": 410
},
{
"epoch": 3.0805860805860807,
"grad_norm": 9.134116172790527,
"learning_rate": 2.7069199457259158e-05,
"loss": 0.5804,
"step": 420
},
{
"epoch": 3.092796092796093,
"grad_norm": 14.580177307128906,
"learning_rate": 2.639077340569878e-05,
"loss": 0.7846,
"step": 430
},
{
"epoch": 3.105006105006105,
"grad_norm": 12.265727043151855,
"learning_rate": 2.57123473541384e-05,
"loss": 0.6807,
"step": 440
},
{
"epoch": 3.1172161172161172,
"grad_norm": 15.816527366638184,
"learning_rate": 2.5033921302578023e-05,
"loss": 0.6878,
"step": 450
},
{
"epoch": 3.1294261294261294,
"grad_norm": 9.39810848236084,
"learning_rate": 2.4355495251017642e-05,
"loss": 0.5625,
"step": 460
},
{
"epoch": 3.1416361416361416,
"grad_norm": 7.950680732727051,
"learning_rate": 2.367706919945726e-05,
"loss": 0.604,
"step": 470
},
{
"epoch": 3.144078144078144,
"eval_accuracy": 0.5,
"eval_loss": 1.3919281959533691,
"eval_runtime": 21.6391,
"eval_samples_per_second": 9.52,
"eval_steps_per_second": 1.202,
"step": 472
},
{
"epoch": 4.00976800976801,
"grad_norm": 3.859422206878662,
"learning_rate": 2.299864314789688e-05,
"loss": 0.3818,
"step": 480
},
{
"epoch": 4.021978021978022,
"grad_norm": 4.586574077606201,
"learning_rate": 2.2320217096336503e-05,
"loss": 0.3743,
"step": 490
},
{
"epoch": 4.034188034188034,
"grad_norm": 11.923030853271484,
"learning_rate": 2.164179104477612e-05,
"loss": 0.4857,
"step": 500
},
{
"epoch": 4.046398046398046,
"grad_norm": 8.866025924682617,
"learning_rate": 2.0963364993215738e-05,
"loss": 0.5601,
"step": 510
},
{
"epoch": 4.058608058608058,
"grad_norm": 8.028688430786133,
"learning_rate": 2.028493894165536e-05,
"loss": 0.4649,
"step": 520
},
{
"epoch": 4.070818070818071,
"grad_norm": 8.852441787719727,
"learning_rate": 1.960651289009498e-05,
"loss": 0.3592,
"step": 530
},
{
"epoch": 4.083028083028083,
"grad_norm": 22.12917137145996,
"learning_rate": 1.89280868385346e-05,
"loss": 0.4787,
"step": 540
},
{
"epoch": 4.095238095238095,
"grad_norm": 9.262681007385254,
"learning_rate": 1.824966078697422e-05,
"loss": 0.4364,
"step": 550
},
{
"epoch": 4.107448107448107,
"grad_norm": 5.102321624755859,
"learning_rate": 1.757123473541384e-05,
"loss": 0.3868,
"step": 560
},
{
"epoch": 4.119658119658119,
"grad_norm": 13.144558906555176,
"learning_rate": 1.689280868385346e-05,
"loss": 0.4023,
"step": 570
},
{
"epoch": 4.131868131868132,
"grad_norm": 16.35342788696289,
"learning_rate": 1.6214382632293083e-05,
"loss": 0.4355,
"step": 580
},
{
"epoch": 4.1440781440781445,
"grad_norm": 12.760746955871582,
"learning_rate": 1.55359565807327e-05,
"loss": 0.2381,
"step": 590
},
{
"epoch": 4.1440781440781445,
"eval_accuracy": 0.5436893203883495,
"eval_loss": 1.355545163154602,
"eval_runtime": 21.2157,
"eval_samples_per_second": 9.71,
"eval_steps_per_second": 1.226,
"step": 590
},
{
"epoch": 5.012210012210012,
"grad_norm": 7.593497276306152,
"learning_rate": 1.485753052917232e-05,
"loss": 0.2075,
"step": 600
},
{
"epoch": 5.024420024420024,
"grad_norm": 4.697848320007324,
"learning_rate": 1.417910447761194e-05,
"loss": 0.2499,
"step": 610
},
{
"epoch": 5.0366300366300365,
"grad_norm": 5.646294116973877,
"learning_rate": 1.3500678426051561e-05,
"loss": 0.1955,
"step": 620
},
{
"epoch": 5.048840048840049,
"grad_norm": 1.646572232246399,
"learning_rate": 1.282225237449118e-05,
"loss": 0.2132,
"step": 630
},
{
"epoch": 5.061050061050061,
"grad_norm": 13.153250694274902,
"learning_rate": 1.2143826322930801e-05,
"loss": 0.2291,
"step": 640
},
{
"epoch": 5.073260073260073,
"grad_norm": 3.749263286590576,
"learning_rate": 1.1465400271370422e-05,
"loss": 0.2316,
"step": 650
},
{
"epoch": 5.085470085470085,
"grad_norm": 1.2367647886276245,
"learning_rate": 1.0786974219810041e-05,
"loss": 0.1593,
"step": 660
},
{
"epoch": 5.097680097680097,
"grad_norm": 14.28999137878418,
"learning_rate": 1.010854816824966e-05,
"loss": 0.1864,
"step": 670
},
{
"epoch": 5.1098901098901095,
"grad_norm": 4.065025329589844,
"learning_rate": 9.430122116689281e-06,
"loss": 0.261,
"step": 680
},
{
"epoch": 5.122100122100122,
"grad_norm": 5.471700668334961,
"learning_rate": 8.751696065128902e-06,
"loss": 0.1759,
"step": 690
},
{
"epoch": 5.134310134310135,
"grad_norm": 1.2977887392044067,
"learning_rate": 8.073270013568522e-06,
"loss": 0.2201,
"step": 700
},
{
"epoch": 5.1440781440781445,
"eval_accuracy": 0.5776699029126213,
"eval_loss": 1.3875343799591064,
"eval_runtime": 33.2439,
"eval_samples_per_second": 6.197,
"eval_steps_per_second": 0.782,
"step": 708
},
{
"epoch": 6.002442002442002,
"grad_norm": 5.552870750427246,
"learning_rate": 7.394843962008141e-06,
"loss": 0.2692,
"step": 710
},
{
"epoch": 6.014652014652015,
"grad_norm": 20.285839080810547,
"learning_rate": 6.716417910447762e-06,
"loss": 0.1318,
"step": 720
},
{
"epoch": 6.026862026862027,
"grad_norm": 1.199399471282959,
"learning_rate": 6.037991858887382e-06,
"loss": 0.0786,
"step": 730
},
{
"epoch": 6.039072039072039,
"grad_norm": 0.7117233872413635,
"learning_rate": 5.359565807327002e-06,
"loss": 0.0873,
"step": 740
},
{
"epoch": 6.051282051282051,
"grad_norm": 1.9136446714401245,
"learning_rate": 4.681139755766622e-06,
"loss": 0.1112,
"step": 750
},
{
"epoch": 6.063492063492063,
"grad_norm": 3.076906204223633,
"learning_rate": 4.002713704206242e-06,
"loss": 0.1026,
"step": 760
},
{
"epoch": 6.075702075702075,
"grad_norm": 26.244754791259766,
"learning_rate": 3.324287652645862e-06,
"loss": 0.1529,
"step": 770
},
{
"epoch": 6.087912087912088,
"grad_norm": 0.7138678431510925,
"learning_rate": 2.645861601085482e-06,
"loss": 0.1352,
"step": 780
},
{
"epoch": 6.1001221001221,
"grad_norm": 10.830814361572266,
"learning_rate": 1.967435549525102e-06,
"loss": 0.0969,
"step": 790
},
{
"epoch": 6.112332112332112,
"grad_norm": 5.247445106506348,
"learning_rate": 1.289009497964722e-06,
"loss": 0.1702,
"step": 800
},
{
"epoch": 6.124542124542124,
"grad_norm": 1.4733346700668335,
"learning_rate": 6.10583446404342e-07,
"loss": 0.1171,
"step": 810
},
{
"epoch": 6.135531135531136,
"eval_accuracy": 0.6019417475728155,
"eval_loss": 1.3527742624282837,
"eval_runtime": 23.7516,
"eval_samples_per_second": 8.673,
"eval_steps_per_second": 1.095,
"step": 819
},
{
"epoch": 6.135531135531136,
"step": 819,
"total_flos": 8.149698472747991e+18,
"train_loss": 0.8887154050216861,
"train_runtime": 1543.5432,
"train_samples_per_second": 4.245,
"train_steps_per_second": 0.531
},
{
"epoch": 6.135531135531136,
"eval_accuracy": 0.5756097560975609,
"eval_loss": 1.497787594795227,
"eval_runtime": 33.2888,
"eval_samples_per_second": 6.158,
"eval_steps_per_second": 0.781,
"step": 819
},
{
"epoch": 6.135531135531136,
"eval_accuracy": 0.5756097560975609,
"eval_loss": 1.497787356376648,
"eval_runtime": 33.1995,
"eval_samples_per_second": 6.175,
"eval_steps_per_second": 0.783,
"step": 819
}
],
"logging_steps": 10,
"max_steps": 819,
"num_input_tokens_seen": 0,
"num_train_epochs": 9223372036854775807,
"save_steps": 500,
"stateful_callbacks": {
"EarlyStoppingCallback": {
"args": {
"early_stopping_patience": 3,
"early_stopping_threshold": 0.0
},
"attributes": {
"early_stopping_patience_counter": 0
}
},
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 8.149698472747991e+18,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}