cheulyop's picture
checkpoint 14400 of ksponspeech train 1/20
1beaa47
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 29.75128998968008,
"global_step": 14400,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.83,
"learning_rate": 0.00023999999999999998,
"loss": 24.132,
"step": 400
},
{
"epoch": 0.83,
"eval_cer": 1.0,
"eval_loss": 4.829305171966553,
"eval_runtime": 666.1596,
"eval_samples_per_second": 3.82,
"step": 400
},
{
"epoch": 1.65,
"learning_rate": 0.0002935805991440799,
"loss": 4.7165,
"step": 800
},
{
"epoch": 1.65,
"eval_cer": 1.0,
"eval_loss": 4.607272148132324,
"eval_runtime": 670.8713,
"eval_samples_per_second": 3.794,
"step": 800
},
{
"epoch": 2.48,
"learning_rate": 0.00028502139800285305,
"loss": 2.9637,
"step": 1200
},
{
"epoch": 2.48,
"eval_cer": 0.34719755926062756,
"eval_loss": 1.3734972476959229,
"eval_runtime": 671.6914,
"eval_samples_per_second": 3.789,
"step": 1200
},
{
"epoch": 3.31,
"learning_rate": 0.0002764621968616262,
"loss": 1.3373,
"step": 1600
},
{
"epoch": 3.31,
"eval_cer": 0.26771859991180924,
"eval_loss": 0.9831737875938416,
"eval_runtime": 669.2245,
"eval_samples_per_second": 3.803,
"step": 1600
},
{
"epoch": 4.13,
"learning_rate": 0.0002679029957203994,
"loss": 1.0378,
"step": 2000
},
{
"epoch": 4.13,
"eval_cer": 0.24304901738788448,
"eval_loss": 0.8199232220649719,
"eval_runtime": 670.0042,
"eval_samples_per_second": 3.798,
"step": 2000
},
{
"epoch": 4.96,
"learning_rate": 0.00025934379457917263,
"loss": 0.8747,
"step": 2400
},
{
"epoch": 4.96,
"eval_cer": 0.21944010773576136,
"eval_loss": 0.7384957075119019,
"eval_runtime": 673.0546,
"eval_samples_per_second": 3.781,
"step": 2400
},
{
"epoch": 5.78,
"learning_rate": 0.0002507845934379458,
"loss": 0.7648,
"step": 2800
},
{
"epoch": 5.78,
"eval_cer": 0.21221799806933703,
"eval_loss": 0.7131306529045105,
"eval_runtime": 671.747,
"eval_samples_per_second": 3.789,
"step": 2800
},
{
"epoch": 6.61,
"learning_rate": 0.00024222539229671895,
"loss": 0.6863,
"step": 3200
},
{
"epoch": 6.61,
"eval_cer": 0.19983553611650717,
"eval_loss": 0.6777553558349609,
"eval_runtime": 679.4426,
"eval_samples_per_second": 3.746,
"step": 3200
},
{
"epoch": 7.44,
"learning_rate": 0.00023366619115549212,
"loss": 0.6269,
"step": 3600
},
{
"epoch": 7.44,
"eval_cer": 0.18854950005362953,
"eval_loss": 0.6489213705062866,
"eval_runtime": 682.8113,
"eval_samples_per_second": 3.727,
"step": 3600
},
{
"epoch": 8.26,
"learning_rate": 0.00022510699001426532,
"loss": 0.5893,
"step": 4000
},
{
"epoch": 8.26,
"eval_cer": 0.19089728157885327,
"eval_loss": 0.6407034993171692,
"eval_runtime": 687.6153,
"eval_samples_per_second": 3.701,
"step": 4000
},
{
"epoch": 9.09,
"learning_rate": 0.0002165477888730385,
"loss": 0.5301,
"step": 4400
},
{
"epoch": 9.09,
"eval_cer": 0.1817445089322957,
"eval_loss": 0.6261754035949707,
"eval_runtime": 681.4189,
"eval_samples_per_second": 3.735,
"step": 4400
},
{
"epoch": 9.92,
"learning_rate": 0.0002079885877318117,
"loss": 0.4909,
"step": 4800
},
{
"epoch": 9.92,
"eval_cer": 0.17955165715239127,
"eval_loss": 0.623394250869751,
"eval_runtime": 672.8551,
"eval_samples_per_second": 3.782,
"step": 4800
},
{
"epoch": 10.74,
"learning_rate": 0.00019942938659058487,
"loss": 0.4602,
"step": 5200
},
{
"epoch": 10.74,
"eval_cer": 0.17870550238949337,
"eval_loss": 0.6308777928352356,
"eval_runtime": 673.8601,
"eval_samples_per_second": 3.777,
"step": 5200
},
{
"epoch": 11.57,
"learning_rate": 0.00019087018544935804,
"loss": 0.4244,
"step": 5600
},
{
"epoch": 11.57,
"eval_cer": 0.17706086355456507,
"eval_loss": 0.6224568486213684,
"eval_runtime": 677.416,
"eval_samples_per_second": 3.757,
"step": 5600
},
{
"epoch": 12.4,
"learning_rate": 0.0001823109843081312,
"loss": 0.3936,
"step": 6000
},
{
"epoch": 12.4,
"eval_cer": 0.17660799199132393,
"eval_loss": 0.6143100261688232,
"eval_runtime": 683.1583,
"eval_samples_per_second": 3.725,
"step": 6000
},
{
"epoch": 13.22,
"learning_rate": 0.0001737517831669044,
"loss": 0.3792,
"step": 6400
},
{
"epoch": 13.22,
"eval_cer": 0.17075641468733985,
"eval_loss": 0.627468466758728,
"eval_runtime": 676.725,
"eval_samples_per_second": 3.761,
"step": 6400
},
{
"epoch": 14.05,
"learning_rate": 0.00016519258202567759,
"loss": 0.3555,
"step": 6800
},
{
"epoch": 14.05,
"eval_cer": 0.16945738836120083,
"eval_loss": 0.6296263933181763,
"eval_runtime": 678.0284,
"eval_samples_per_second": 3.754,
"step": 6800
},
{
"epoch": 14.88,
"learning_rate": 0.00015663338088445076,
"loss": 0.3282,
"step": 7200
},
{
"epoch": 14.88,
"eval_cer": 0.16861123359830293,
"eval_loss": 0.6353692412376404,
"eval_runtime": 677.9049,
"eval_samples_per_second": 3.754,
"step": 7200
},
{
"epoch": 15.7,
"learning_rate": 0.00014807417974322396,
"loss": 0.3105,
"step": 7600
},
{
"epoch": 15.7,
"eval_cer": 0.16284308000333694,
"eval_loss": 0.6332650780677795,
"eval_runtime": 678.3344,
"eval_samples_per_second": 3.752,
"step": 7600
},
{
"epoch": 16.53,
"learning_rate": 0.00013951497860199713,
"loss": 0.2899,
"step": 8000
},
{
"epoch": 16.53,
"eval_cer": 0.16626345207307916,
"eval_loss": 0.6411857604980469,
"eval_runtime": 680.0199,
"eval_samples_per_second": 3.743,
"step": 8000
},
{
"epoch": 17.36,
"learning_rate": 0.0001309557774607703,
"loss": 0.2769,
"step": 8400
},
{
"epoch": 17.36,
"eval_cer": 0.1635343050209155,
"eval_loss": 0.629165768623352,
"eval_runtime": 679.3365,
"eval_samples_per_second": 3.746,
"step": 8400
},
{
"epoch": 18.18,
"learning_rate": 0.0001223965763195435,
"loss": 0.2685,
"step": 8800
},
{
"epoch": 18.18,
"eval_cer": 0.16531003825572943,
"eval_loss": 0.6566583514213562,
"eval_runtime": 677.0871,
"eval_samples_per_second": 3.759,
"step": 8800
},
{
"epoch": 19.01,
"learning_rate": 0.00011383737517831669,
"loss": 0.2481,
"step": 9200
},
{
"epoch": 19.01,
"eval_cer": 0.16478566065618705,
"eval_loss": 0.652852475643158,
"eval_runtime": 678.2412,
"eval_samples_per_second": 3.752,
"step": 9200
},
{
"epoch": 19.83,
"learning_rate": 0.00010527817403708987,
"loss": 0.2355,
"step": 9600
},
{
"epoch": 19.83,
"eval_cer": 0.1621041842948909,
"eval_loss": 0.6581872701644897,
"eval_runtime": 679.7908,
"eval_samples_per_second": 3.744,
"step": 9600
},
{
"epoch": 20.66,
"learning_rate": 9.671897289586304e-05,
"loss": 0.2266,
"step": 10000
},
{
"epoch": 20.66,
"eval_cer": 0.1623544554219452,
"eval_loss": 0.6539607644081116,
"eval_runtime": 679.8539,
"eval_samples_per_second": 3.743,
"step": 10000
},
{
"epoch": 21.49,
"learning_rate": 8.815977175463624e-05,
"loss": 0.2183,
"step": 10400
},
{
"epoch": 21.49,
"eval_cer": 0.1604952984781132,
"eval_loss": 0.6687005758285522,
"eval_runtime": 678.9594,
"eval_samples_per_second": 3.748,
"step": 10400
},
{
"epoch": 22.31,
"learning_rate": 7.960057061340941e-05,
"loss": 0.2089,
"step": 10800
},
{
"epoch": 22.31,
"eval_cer": 0.16017352131475765,
"eval_loss": 0.6894858479499817,
"eval_runtime": 681.5459,
"eval_samples_per_second": 3.734,
"step": 10800
},
{
"epoch": 23.14,
"learning_rate": 7.10413694721826e-05,
"loss": 0.2016,
"step": 11200
},
{
"epoch": 23.14,
"eval_cer": 0.1619850075677222,
"eval_loss": 0.6835413575172424,
"eval_runtime": 682.6349,
"eval_samples_per_second": 3.728,
"step": 11200
},
{
"epoch": 23.97,
"learning_rate": 6.248216833095577e-05,
"loss": 0.1904,
"step": 11600
},
{
"epoch": 23.97,
"eval_cer": 0.16073365193245062,
"eval_loss": 0.6923198103904724,
"eval_runtime": 681.4566,
"eval_samples_per_second": 3.735,
"step": 11600
},
{
"epoch": 24.79,
"learning_rate": 5.392296718972896e-05,
"loss": 0.1865,
"step": 12000
},
{
"epoch": 24.79,
"eval_cer": 0.15916051913382354,
"eval_loss": 0.6866386532783508,
"eval_runtime": 680.6783,
"eval_samples_per_second": 3.739,
"step": 12000
},
{
"epoch": 25.62,
"learning_rate": 4.536376604850214e-05,
"loss": 0.1754,
"step": 12400
},
{
"epoch": 25.62,
"eval_cer": 0.15712259709923845,
"eval_loss": 0.693188488483429,
"eval_runtime": 682.8906,
"eval_samples_per_second": 3.727,
"step": 12400
},
{
"epoch": 26.45,
"learning_rate": 3.680456490727532e-05,
"loss": 0.1739,
"step": 12800
},
{
"epoch": 26.45,
"eval_cer": 0.15602617120928625,
"eval_loss": 0.6990784406661987,
"eval_runtime": 682.7736,
"eval_samples_per_second": 3.727,
"step": 12800
},
{
"epoch": 27.27,
"learning_rate": 2.82453637660485e-05,
"loss": 0.1657,
"step": 13200
},
{
"epoch": 27.27,
"eval_cer": 0.1563002776817743,
"eval_loss": 0.7062773108482361,
"eval_runtime": 681.4615,
"eval_samples_per_second": 3.735,
"step": 13200
},
{
"epoch": 28.1,
"learning_rate": 1.968616262482168e-05,
"loss": 0.1584,
"step": 13600
},
{
"epoch": 28.1,
"eval_cer": 0.15688424364490103,
"eval_loss": 0.7029954791069031,
"eval_runtime": 682.9133,
"eval_samples_per_second": 3.727,
"step": 13600
},
{
"epoch": 28.92,
"learning_rate": 1.1126961483594864e-05,
"loss": 0.1625,
"step": 14000
},
{
"epoch": 28.92,
"eval_cer": 0.1568604082994673,
"eval_loss": 0.6991938352584839,
"eval_runtime": 683.4936,
"eval_samples_per_second": 3.724,
"step": 14000
},
{
"epoch": 29.75,
"learning_rate": 2.5677603423680457e-06,
"loss": 0.1582,
"step": 14400
},
{
"epoch": 29.75,
"eval_cer": 0.156514795790678,
"eval_loss": 0.7013677358627319,
"eval_runtime": 682.2827,
"eval_samples_per_second": 3.73,
"step": 14400
}
],
"max_steps": 14520,
"num_train_epochs": 30,
"total_flos": 1.668287739327801e+20,
"trial_name": null,
"trial_params": null
}