aiface's picture
Training in progress, step 16000, checkpoint
1faf880
raw
history blame
No virus
27.6 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 4.096121848201715,
"eval_steps": 500,
"global_step": 16000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.03,
"learning_rate": 0.0004957330602491893,
"loss": 2.0441,
"step": 100
},
{
"epoch": 0.05,
"learning_rate": 0.0004914661204983786,
"loss": 1.713,
"step": 200
},
{
"epoch": 0.08,
"learning_rate": 0.00048719918074756785,
"loss": 1.6007,
"step": 300
},
{
"epoch": 0.1,
"learning_rate": 0.00048293224099675715,
"loss": 1.5181,
"step": 400
},
{
"epoch": 0.13,
"learning_rate": 0.00047866530124594645,
"loss": 1.4493,
"step": 500
},
{
"epoch": 0.13,
"eval_bleu": 3.9997520454971136,
"eval_loss": 1.3540712594985962,
"eval_runtime": 10.3322,
"eval_samples_per_second": 193.569,
"eval_steps_per_second": 1.549,
"step": 500
},
{
"epoch": 0.15,
"learning_rate": 0.0004743983614951357,
"loss": 1.4096,
"step": 600
},
{
"epoch": 0.18,
"learning_rate": 0.000470131421744325,
"loss": 1.3729,
"step": 700
},
{
"epoch": 0.2,
"learning_rate": 0.0004658644819935143,
"loss": 1.3389,
"step": 800
},
{
"epoch": 0.23,
"learning_rate": 0.00046159754224270354,
"loss": 1.3166,
"step": 900
},
{
"epoch": 0.26,
"learning_rate": 0.00045733060249189284,
"loss": 1.2915,
"step": 1000
},
{
"epoch": 0.26,
"eval_bleu": 5.393565315342523,
"eval_loss": 1.2113043069839478,
"eval_runtime": 8.5631,
"eval_samples_per_second": 233.562,
"eval_steps_per_second": 1.868,
"step": 1000
},
{
"epoch": 0.28,
"learning_rate": 0.00045306366274108214,
"loss": 1.2669,
"step": 1100
},
{
"epoch": 0.31,
"learning_rate": 0.0004487967229902714,
"loss": 1.2492,
"step": 1200
},
{
"epoch": 0.33,
"learning_rate": 0.0004445297832394607,
"loss": 1.2371,
"step": 1300
},
{
"epoch": 0.36,
"learning_rate": 0.00044026284348864993,
"loss": 1.2231,
"step": 1400
},
{
"epoch": 0.38,
"learning_rate": 0.00043599590373783923,
"loss": 1.2059,
"step": 1500
},
{
"epoch": 0.38,
"eval_bleu": 5.838067918496751,
"eval_loss": 1.1367273330688477,
"eval_runtime": 9.2404,
"eval_samples_per_second": 216.442,
"eval_steps_per_second": 1.732,
"step": 1500
},
{
"epoch": 0.41,
"learning_rate": 0.0004317289639870285,
"loss": 1.1931,
"step": 1600
},
{
"epoch": 0.44,
"learning_rate": 0.0004274620242362178,
"loss": 1.1761,
"step": 1700
},
{
"epoch": 0.46,
"learning_rate": 0.0004231950844854071,
"loss": 1.1792,
"step": 1800
},
{
"epoch": 0.49,
"learning_rate": 0.0004189281447345963,
"loss": 1.1614,
"step": 1900
},
{
"epoch": 0.51,
"learning_rate": 0.0004146612049837856,
"loss": 1.1573,
"step": 2000
},
{
"epoch": 0.51,
"eval_bleu": 6.242227124133382,
"eval_loss": 1.0900604724884033,
"eval_runtime": 8.3953,
"eval_samples_per_second": 238.228,
"eval_steps_per_second": 1.906,
"step": 2000
},
{
"epoch": 0.54,
"learning_rate": 0.0004103942652329749,
"loss": 1.1449,
"step": 2100
},
{
"epoch": 0.56,
"learning_rate": 0.00040612732548216417,
"loss": 1.1379,
"step": 2200
},
{
"epoch": 0.59,
"learning_rate": 0.00040186038573135347,
"loss": 1.1281,
"step": 2300
},
{
"epoch": 0.61,
"learning_rate": 0.00039759344598054277,
"loss": 1.1226,
"step": 2400
},
{
"epoch": 0.64,
"learning_rate": 0.00039332650622973206,
"loss": 1.1121,
"step": 2500
},
{
"epoch": 0.64,
"eval_bleu": 6.627148578471305,
"eval_loss": 1.0542418956756592,
"eval_runtime": 9.2835,
"eval_samples_per_second": 215.436,
"eval_steps_per_second": 1.723,
"step": 2500
},
{
"epoch": 0.67,
"learning_rate": 0.0003890595664789213,
"loss": 1.1076,
"step": 2600
},
{
"epoch": 0.69,
"learning_rate": 0.0003847926267281106,
"loss": 1.1001,
"step": 2700
},
{
"epoch": 0.72,
"learning_rate": 0.0003805256869772999,
"loss": 1.0996,
"step": 2800
},
{
"epoch": 0.74,
"learning_rate": 0.00037625874722648915,
"loss": 1.088,
"step": 2900
},
{
"epoch": 0.77,
"learning_rate": 0.00037199180747567845,
"loss": 1.0867,
"step": 3000
},
{
"epoch": 0.77,
"eval_bleu": 6.879580310573366,
"eval_loss": 1.025155782699585,
"eval_runtime": 8.5706,
"eval_samples_per_second": 233.355,
"eval_steps_per_second": 1.867,
"step": 3000
},
{
"epoch": 0.79,
"learning_rate": 0.00036772486772486775,
"loss": 1.0784,
"step": 3100
},
{
"epoch": 0.82,
"learning_rate": 0.000363457927974057,
"loss": 1.0794,
"step": 3200
},
{
"epoch": 0.84,
"learning_rate": 0.0003591909882232463,
"loss": 1.0736,
"step": 3300
},
{
"epoch": 0.87,
"learning_rate": 0.0003549240484724356,
"loss": 1.0684,
"step": 3400
},
{
"epoch": 0.9,
"learning_rate": 0.0003506571087216249,
"loss": 1.0623,
"step": 3500
},
{
"epoch": 0.9,
"eval_bleu": 7.039305128716119,
"eval_loss": 1.0067821741104126,
"eval_runtime": 9.3223,
"eval_samples_per_second": 214.539,
"eval_steps_per_second": 1.716,
"step": 3500
},
{
"epoch": 0.92,
"learning_rate": 0.00034639016897081414,
"loss": 1.0609,
"step": 3600
},
{
"epoch": 0.95,
"learning_rate": 0.00034212322922000344,
"loss": 1.0579,
"step": 3700
},
{
"epoch": 0.97,
"learning_rate": 0.00033785628946919274,
"loss": 1.0517,
"step": 3800
},
{
"epoch": 1.0,
"learning_rate": 0.000333589349718382,
"loss": 1.054,
"step": 3900
},
{
"epoch": 1.02,
"learning_rate": 0.0003293224099675713,
"loss": 1.0408,
"step": 4000
},
{
"epoch": 1.02,
"eval_bleu": 7.2660174031875915,
"eval_loss": 0.9882246255874634,
"eval_runtime": 8.4135,
"eval_samples_per_second": 237.713,
"eval_steps_per_second": 1.902,
"step": 4000
},
{
"epoch": 1.05,
"learning_rate": 0.0003250554702167606,
"loss": 1.0317,
"step": 4100
},
{
"epoch": 1.08,
"learning_rate": 0.0003207885304659498,
"loss": 1.0344,
"step": 4200
},
{
"epoch": 1.1,
"learning_rate": 0.0003165215907151391,
"loss": 1.0274,
"step": 4300
},
{
"epoch": 1.13,
"learning_rate": 0.0003122546509643284,
"loss": 1.0216,
"step": 4400
},
{
"epoch": 1.15,
"learning_rate": 0.0003079877112135177,
"loss": 1.0203,
"step": 4500
},
{
"epoch": 1.15,
"eval_bleu": 7.055297387993883,
"eval_loss": 0.9723305702209473,
"eval_runtime": 9.3412,
"eval_samples_per_second": 214.105,
"eval_steps_per_second": 1.713,
"step": 4500
},
{
"epoch": 1.18,
"learning_rate": 0.0003037207714627069,
"loss": 1.0217,
"step": 4600
},
{
"epoch": 1.2,
"learning_rate": 0.0002994538317118962,
"loss": 1.0184,
"step": 4700
},
{
"epoch": 1.23,
"learning_rate": 0.0002951868919610855,
"loss": 1.015,
"step": 4800
},
{
"epoch": 1.25,
"learning_rate": 0.00029091995221027477,
"loss": 1.011,
"step": 4900
},
{
"epoch": 1.28,
"learning_rate": 0.00028665301245946406,
"loss": 1.0054,
"step": 5000
},
{
"epoch": 1.28,
"eval_bleu": 7.455525040183996,
"eval_loss": 0.9624391198158264,
"eval_runtime": 8.4826,
"eval_samples_per_second": 235.778,
"eval_steps_per_second": 1.886,
"step": 5000
},
{
"epoch": 1.31,
"learning_rate": 0.00028238607270865336,
"loss": 1.0062,
"step": 5100
},
{
"epoch": 1.33,
"learning_rate": 0.0002781191329578426,
"loss": 1.0081,
"step": 5200
},
{
"epoch": 1.36,
"learning_rate": 0.0002738521932070319,
"loss": 1.0007,
"step": 5300
},
{
"epoch": 1.38,
"learning_rate": 0.0002695852534562212,
"loss": 0.9973,
"step": 5400
},
{
"epoch": 1.41,
"learning_rate": 0.0002653183137054105,
"loss": 0.9977,
"step": 5500
},
{
"epoch": 1.41,
"eval_bleu": 7.426000467701662,
"eval_loss": 0.9526358842849731,
"eval_runtime": 9.3659,
"eval_samples_per_second": 213.542,
"eval_steps_per_second": 1.708,
"step": 5500
},
{
"epoch": 1.43,
"learning_rate": 0.00026105137395459975,
"loss": 0.9982,
"step": 5600
},
{
"epoch": 1.46,
"learning_rate": 0.00025678443420378905,
"loss": 0.9956,
"step": 5700
},
{
"epoch": 1.48,
"learning_rate": 0.00025251749445297835,
"loss": 0.9941,
"step": 5800
},
{
"epoch": 1.51,
"learning_rate": 0.0002482505547021676,
"loss": 0.9881,
"step": 5900
},
{
"epoch": 1.54,
"learning_rate": 0.0002439836149513569,
"loss": 0.9931,
"step": 6000
},
{
"epoch": 1.54,
"eval_bleu": 7.523072732517067,
"eval_loss": 0.9395684003829956,
"eval_runtime": 9.0823,
"eval_samples_per_second": 220.209,
"eval_steps_per_second": 1.762,
"step": 6000
},
{
"epoch": 1.56,
"learning_rate": 0.0002397166752005462,
"loss": 0.9834,
"step": 6100
},
{
"epoch": 1.59,
"learning_rate": 0.00023544973544973544,
"loss": 0.9821,
"step": 6200
},
{
"epoch": 1.61,
"learning_rate": 0.00023118279569892471,
"loss": 0.9859,
"step": 6300
},
{
"epoch": 1.64,
"learning_rate": 0.00022691585594811401,
"loss": 0.9762,
"step": 6400
},
{
"epoch": 1.66,
"learning_rate": 0.0002226489161973033,
"loss": 0.9804,
"step": 6500
},
{
"epoch": 1.66,
"eval_bleu": 7.43758431482021,
"eval_loss": 0.9323887825012207,
"eval_runtime": 9.0344,
"eval_samples_per_second": 221.376,
"eval_steps_per_second": 1.771,
"step": 6500
},
{
"epoch": 1.69,
"learning_rate": 0.00021838197644649259,
"loss": 0.9794,
"step": 6600
},
{
"epoch": 1.72,
"learning_rate": 0.00021411503669568186,
"loss": 0.9737,
"step": 6700
},
{
"epoch": 1.74,
"learning_rate": 0.00020984809694487113,
"loss": 0.9696,
"step": 6800
},
{
"epoch": 1.77,
"learning_rate": 0.00020558115719406043,
"loss": 0.9735,
"step": 6900
},
{
"epoch": 1.79,
"learning_rate": 0.0002013142174432497,
"loss": 0.9691,
"step": 7000
},
{
"epoch": 1.79,
"eval_bleu": 7.52270860836675,
"eval_loss": 0.9264442324638367,
"eval_runtime": 9.3377,
"eval_samples_per_second": 214.186,
"eval_steps_per_second": 1.713,
"step": 7000
},
{
"epoch": 1.82,
"learning_rate": 0.000197047277692439,
"loss": 0.9754,
"step": 7100
},
{
"epoch": 1.84,
"learning_rate": 0.00019278033794162827,
"loss": 0.9688,
"step": 7200
},
{
"epoch": 1.87,
"learning_rate": 0.00018851339819081755,
"loss": 0.968,
"step": 7300
},
{
"epoch": 1.89,
"learning_rate": 0.00018424645844000685,
"loss": 0.9628,
"step": 7400
},
{
"epoch": 1.92,
"learning_rate": 0.00017997951868919612,
"loss": 0.9645,
"step": 7500
},
{
"epoch": 1.92,
"eval_bleu": 7.685904345266889,
"eval_loss": 0.9192501306533813,
"eval_runtime": 8.7414,
"eval_samples_per_second": 228.796,
"eval_steps_per_second": 1.83,
"step": 7500
},
{
"epoch": 1.95,
"learning_rate": 0.0001757125789383854,
"loss": 0.9674,
"step": 7600
},
{
"epoch": 1.97,
"learning_rate": 0.00017144563918757466,
"loss": 0.9659,
"step": 7700
},
{
"epoch": 2.0,
"learning_rate": 0.00016717869943676394,
"loss": 0.9646,
"step": 7800
},
{
"epoch": 2.02,
"learning_rate": 0.00016291175968595324,
"loss": 0.9477,
"step": 7900
},
{
"epoch": 2.05,
"learning_rate": 0.0001586448199351425,
"loss": 0.9509,
"step": 8000
},
{
"epoch": 2.05,
"eval_bleu": 7.647325378973634,
"eval_loss": 0.9144095778465271,
"eval_runtime": 9.1538,
"eval_samples_per_second": 218.489,
"eval_steps_per_second": 1.748,
"step": 8000
},
{
"epoch": 2.07,
"learning_rate": 0.00024078341013824886,
"loss": 0.9532,
"step": 8100
},
{
"epoch": 2.1,
"learning_rate": 0.00023758320532514082,
"loss": 0.949,
"step": 8200
},
{
"epoch": 2.12,
"learning_rate": 0.00023438300051203275,
"loss": 0.9506,
"step": 8300
},
{
"epoch": 2.15,
"learning_rate": 0.00023118279569892471,
"loss": 0.9539,
"step": 8400
},
{
"epoch": 2.18,
"learning_rate": 0.00022798259088581668,
"loss": 0.9485,
"step": 8500
},
{
"epoch": 2.18,
"eval_bleu": 7.654834398763605,
"eval_loss": 0.9117684364318848,
"eval_runtime": 11.8365,
"eval_samples_per_second": 168.969,
"eval_steps_per_second": 1.352,
"step": 8500
},
{
"epoch": 2.2,
"learning_rate": 0.00022478238607270864,
"loss": 0.9495,
"step": 8600
},
{
"epoch": 2.23,
"learning_rate": 0.00022158218125960063,
"loss": 0.9484,
"step": 8700
},
{
"epoch": 2.25,
"learning_rate": 0.00021838197644649259,
"loss": 0.9486,
"step": 8800
},
{
"epoch": 2.28,
"learning_rate": 0.00021518177163338455,
"loss": 0.9445,
"step": 8900
},
{
"epoch": 2.3,
"learning_rate": 0.0002119815668202765,
"loss": 0.9437,
"step": 9000
},
{
"epoch": 2.3,
"eval_bleu": 7.606584348844775,
"eval_loss": 0.9072746634483337,
"eval_runtime": 9.3821,
"eval_samples_per_second": 213.171,
"eval_steps_per_second": 1.705,
"step": 9000
},
{
"epoch": 2.33,
"learning_rate": 0.00020878136200716847,
"loss": 0.9406,
"step": 9100
},
{
"epoch": 2.36,
"learning_rate": 0.00020558115719406043,
"loss": 0.9418,
"step": 9200
},
{
"epoch": 2.38,
"learning_rate": 0.0002023809523809524,
"loss": 0.9402,
"step": 9300
},
{
"epoch": 2.41,
"learning_rate": 0.00019918074756784435,
"loss": 0.94,
"step": 9400
},
{
"epoch": 2.43,
"learning_rate": 0.00019598054275473631,
"loss": 0.9393,
"step": 9500
},
{
"epoch": 2.43,
"eval_bleu": 7.714033503089272,
"eval_loss": 0.9019351601600647,
"eval_runtime": 9.2531,
"eval_samples_per_second": 216.144,
"eval_steps_per_second": 1.729,
"step": 9500
},
{
"epoch": 2.46,
"learning_rate": 0.00019278033794162827,
"loss": 0.9378,
"step": 9600
},
{
"epoch": 2.48,
"learning_rate": 0.00018958013312852024,
"loss": 0.9345,
"step": 9700
},
{
"epoch": 2.51,
"learning_rate": 0.0001863799283154122,
"loss": 0.936,
"step": 9800
},
{
"epoch": 2.53,
"learning_rate": 0.00018317972350230416,
"loss": 0.9389,
"step": 9900
},
{
"epoch": 2.56,
"learning_rate": 0.00017997951868919612,
"loss": 0.9336,
"step": 10000
},
{
"epoch": 2.56,
"eval_bleu": 7.80952091204729,
"eval_loss": 0.897022545337677,
"eval_runtime": 9.0616,
"eval_samples_per_second": 220.711,
"eval_steps_per_second": 1.766,
"step": 10000
},
{
"epoch": 2.59,
"learning_rate": 0.00017677931387608805,
"loss": 0.9376,
"step": 10100
},
{
"epoch": 2.61,
"learning_rate": 0.00017357910906298001,
"loss": 0.9344,
"step": 10200
},
{
"epoch": 2.64,
"learning_rate": 0.00017037890424987198,
"loss": 0.9358,
"step": 10300
},
{
"epoch": 2.66,
"learning_rate": 0.00016717869943676394,
"loss": 0.9309,
"step": 10400
},
{
"epoch": 2.69,
"learning_rate": 0.0001639784946236559,
"loss": 0.9368,
"step": 10500
},
{
"epoch": 2.69,
"eval_bleu": 7.937668751101428,
"eval_loss": 0.8936744928359985,
"eval_runtime": 9.5691,
"eval_samples_per_second": 209.006,
"eval_steps_per_second": 1.672,
"step": 10500
},
{
"epoch": 2.71,
"learning_rate": 0.00016077828981054789,
"loss": 0.9337,
"step": 10600
},
{
"epoch": 2.74,
"learning_rate": 0.00015757808499743985,
"loss": 0.9266,
"step": 10700
},
{
"epoch": 2.76,
"learning_rate": 0.0001543778801843318,
"loss": 0.9276,
"step": 10800
},
{
"epoch": 2.79,
"learning_rate": 0.00015117767537122377,
"loss": 0.9266,
"step": 10900
},
{
"epoch": 2.82,
"learning_rate": 0.00014797747055811573,
"loss": 0.925,
"step": 11000
},
{
"epoch": 2.82,
"eval_bleu": 7.842526661794731,
"eval_loss": 0.8898113965988159,
"eval_runtime": 9.4133,
"eval_samples_per_second": 212.466,
"eval_steps_per_second": 1.7,
"step": 11000
},
{
"epoch": 2.84,
"learning_rate": 0.0001447772657450077,
"loss": 0.9161,
"step": 11100
},
{
"epoch": 2.87,
"learning_rate": 0.00014157706093189965,
"loss": 0.9263,
"step": 11200
},
{
"epoch": 2.89,
"learning_rate": 0.0001383768561187916,
"loss": 0.9293,
"step": 11300
},
{
"epoch": 2.92,
"learning_rate": 0.00013517665130568357,
"loss": 0.924,
"step": 11400
},
{
"epoch": 2.94,
"learning_rate": 0.00013197644649257554,
"loss": 0.921,
"step": 11500
},
{
"epoch": 2.94,
"eval_bleu": 7.900750479934787,
"eval_loss": 0.8863839507102966,
"eval_runtime": 9.7323,
"eval_samples_per_second": 205.501,
"eval_steps_per_second": 1.644,
"step": 11500
},
{
"epoch": 2.97,
"learning_rate": 0.0001287762416794675,
"loss": 0.9213,
"step": 11600
},
{
"epoch": 3.0,
"learning_rate": 0.00012557603686635946,
"loss": 0.9219,
"step": 11700
},
{
"epoch": 3.02,
"learning_rate": 0.00012237583205325142,
"loss": 0.9141,
"step": 11800
},
{
"epoch": 3.05,
"learning_rate": 0.00011917562724014337,
"loss": 0.9125,
"step": 11900
},
{
"epoch": 3.07,
"learning_rate": 0.00011597542242703534,
"loss": 0.9177,
"step": 12000
},
{
"epoch": 3.07,
"eval_bleu": 7.913356299834283,
"eval_loss": 0.8835927844047546,
"eval_runtime": 9.3736,
"eval_samples_per_second": 213.364,
"eval_steps_per_second": 1.707,
"step": 12000
},
{
"epoch": 3.1,
"learning_rate": 0.00019022017409114184,
"loss": 0.9129,
"step": 12100
},
{
"epoch": 3.12,
"learning_rate": 0.0001876600102406554,
"loss": 0.9121,
"step": 12200
},
{
"epoch": 3.15,
"learning_rate": 0.00018509984639016898,
"loss": 0.9123,
"step": 12300
},
{
"epoch": 3.17,
"learning_rate": 0.00018253968253968252,
"loss": 0.9168,
"step": 12400
},
{
"epoch": 3.2,
"learning_rate": 0.00017997951868919612,
"loss": 0.9151,
"step": 12500
},
{
"epoch": 3.2,
"eval_bleu": 7.864673119868297,
"eval_loss": 0.8821397423744202,
"eval_runtime": 11.1353,
"eval_samples_per_second": 179.609,
"eval_steps_per_second": 1.437,
"step": 12500
},
{
"epoch": 3.23,
"learning_rate": 0.0001774193548387097,
"loss": 0.9112,
"step": 12600
},
{
"epoch": 3.25,
"learning_rate": 0.00017485919098822326,
"loss": 0.9175,
"step": 12700
},
{
"epoch": 3.28,
"learning_rate": 0.00017229902713773683,
"loss": 0.9131,
"step": 12800
},
{
"epoch": 3.3,
"learning_rate": 0.0001697388632872504,
"loss": 0.9116,
"step": 12900
},
{
"epoch": 3.33,
"learning_rate": 0.00016717869943676394,
"loss": 0.9104,
"step": 13000
},
{
"epoch": 3.33,
"eval_bleu": 8.083046367100428,
"eval_loss": 0.8790320158004761,
"eval_runtime": 9.2669,
"eval_samples_per_second": 215.821,
"eval_steps_per_second": 1.727,
"step": 13000
},
{
"epoch": 3.35,
"learning_rate": 0.0001646185355862775,
"loss": 0.9083,
"step": 13100
},
{
"epoch": 3.38,
"learning_rate": 0.0001620583717357911,
"loss": 0.9084,
"step": 13200
},
{
"epoch": 3.4,
"learning_rate": 0.00015949820788530467,
"loss": 0.9155,
"step": 13300
},
{
"epoch": 3.43,
"learning_rate": 0.00015693804403481824,
"loss": 0.9059,
"step": 13400
},
{
"epoch": 3.46,
"learning_rate": 0.0001543778801843318,
"loss": 0.9035,
"step": 13500
},
{
"epoch": 3.46,
"eval_bleu": 8.095903306480848,
"eval_loss": 0.8766345381736755,
"eval_runtime": 9.4138,
"eval_samples_per_second": 212.454,
"eval_steps_per_second": 1.7,
"step": 13500
},
{
"epoch": 3.48,
"learning_rate": 0.00015181771633384535,
"loss": 0.9053,
"step": 13600
},
{
"epoch": 3.51,
"learning_rate": 0.00014925755248335892,
"loss": 0.9047,
"step": 13700
},
{
"epoch": 3.53,
"learning_rate": 0.00014669738863287251,
"loss": 0.9017,
"step": 13800
},
{
"epoch": 3.56,
"learning_rate": 0.00014413722478238608,
"loss": 0.9073,
"step": 13900
},
{
"epoch": 3.58,
"learning_rate": 0.00014157706093189965,
"loss": 0.8992,
"step": 14000
},
{
"epoch": 3.58,
"eval_bleu": 8.01784311685486,
"eval_loss": 0.8740718960762024,
"eval_runtime": 9.3262,
"eval_samples_per_second": 214.449,
"eval_steps_per_second": 1.716,
"step": 14000
},
{
"epoch": 3.61,
"learning_rate": 0.00013901689708141322,
"loss": 0.904,
"step": 14100
},
{
"epoch": 3.64,
"learning_rate": 0.0001364567332309268,
"loss": 0.9043,
"step": 14200
},
{
"epoch": 3.66,
"learning_rate": 0.00013389656938044033,
"loss": 0.9038,
"step": 14300
},
{
"epoch": 3.69,
"learning_rate": 0.0001313364055299539,
"loss": 0.9061,
"step": 14400
},
{
"epoch": 3.71,
"learning_rate": 0.0001287762416794675,
"loss": 0.8986,
"step": 14500
},
{
"epoch": 3.71,
"eval_bleu": 8.038360794483163,
"eval_loss": 0.8720167875289917,
"eval_runtime": 9.7469,
"eval_samples_per_second": 205.193,
"eval_steps_per_second": 1.642,
"step": 14500
},
{
"epoch": 3.74,
"learning_rate": 0.00012621607782898107,
"loss": 0.8972,
"step": 14600
},
{
"epoch": 3.76,
"learning_rate": 0.00012365591397849463,
"loss": 0.9032,
"step": 14700
},
{
"epoch": 3.79,
"learning_rate": 0.00012109575012800819,
"loss": 0.9009,
"step": 14800
},
{
"epoch": 3.81,
"learning_rate": 0.00011853558627752177,
"loss": 0.9021,
"step": 14900
},
{
"epoch": 3.84,
"learning_rate": 0.00011597542242703534,
"loss": 0.894,
"step": 15000
},
{
"epoch": 3.84,
"eval_bleu": 8.091339671473314,
"eval_loss": 0.8682767152786255,
"eval_runtime": 9.833,
"eval_samples_per_second": 203.397,
"eval_steps_per_second": 1.627,
"step": 15000
},
{
"epoch": 3.87,
"learning_rate": 0.0001134152585765489,
"loss": 0.9011,
"step": 15100
},
{
"epoch": 3.89,
"learning_rate": 0.00011085509472606247,
"loss": 0.9016,
"step": 15200
},
{
"epoch": 3.92,
"learning_rate": 0.00010829493087557605,
"loss": 0.8951,
"step": 15300
},
{
"epoch": 3.94,
"learning_rate": 0.0001057347670250896,
"loss": 0.8981,
"step": 15400
},
{
"epoch": 3.97,
"learning_rate": 0.00010317460317460317,
"loss": 0.8932,
"step": 15500
},
{
"epoch": 3.97,
"eval_bleu": 8.099679129372298,
"eval_loss": 0.8663304448127747,
"eval_runtime": 9.7444,
"eval_samples_per_second": 205.246,
"eval_steps_per_second": 1.642,
"step": 15500
},
{
"epoch": 3.99,
"learning_rate": 0.00010061443932411675,
"loss": 0.8991,
"step": 15600
},
{
"epoch": 4.02,
"learning_rate": 9.805427547363031e-05,
"loss": 0.8937,
"step": 15700
},
{
"epoch": 4.04,
"learning_rate": 9.549411162314388e-05,
"loss": 0.8877,
"step": 15800
},
{
"epoch": 4.07,
"learning_rate": 9.293394777265746e-05,
"loss": 0.8916,
"step": 15900
},
{
"epoch": 4.1,
"learning_rate": 9.037378392217102e-05,
"loss": 0.8889,
"step": 16000
},
{
"epoch": 4.1,
"eval_bleu": 8.108828400885466,
"eval_loss": 0.8641292452812195,
"eval_runtime": 9.0966,
"eval_samples_per_second": 219.862,
"eval_steps_per_second": 1.759,
"step": 16000
}
],
"logging_steps": 100,
"max_steps": 19530,
"num_train_epochs": 5,
"save_steps": 2000,
"total_flos": 4.675529716059341e+16,
"trial_name": null,
"trial_params": null
}