qlora-llama2-13b / checkpoint-20000 /trainer_state.json
ZeroUniqueness's picture
Training in progress, step 20000
cbbaa1a
raw
history blame
28.9 kB
{
"best_metric": 0.6324757933616638,
"best_model_checkpoint": "./qlora-out/checkpoint-20000",
"epoch": 0.7456843518138772,
"global_step": 20000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.0,
"learning_rate": 0.00019999938245325715,
"loss": 0.9023,
"step": 100
},
{
"epoch": 0.01,
"learning_rate": 0.00019999724773356797,
"loss": 0.8027,
"step": 200
},
{
"epoch": 0.01,
"learning_rate": 0.0001999935882494411,
"loss": 0.8041,
"step": 300
},
{
"epoch": 0.01,
"learning_rate": 0.00019998840405667672,
"loss": 0.7944,
"step": 400
},
{
"epoch": 0.02,
"learning_rate": 0.00019998169523432365,
"loss": 0.81,
"step": 500
},
{
"epoch": 0.02,
"learning_rate": 0.0001999734618846785,
"loss": 0.7855,
"step": 600
},
{
"epoch": 0.03,
"learning_rate": 0.00019996370413328385,
"loss": 0.7849,
"step": 700
},
{
"epoch": 0.03,
"learning_rate": 0.00019995242212892653,
"loss": 0.7564,
"step": 800
},
{
"epoch": 0.03,
"learning_rate": 0.00019993961604363532,
"loss": 0.7724,
"step": 900
},
{
"epoch": 0.04,
"learning_rate": 0.00019992528607267815,
"loss": 0.7308,
"step": 1000
},
{
"epoch": 0.04,
"eval_loss": 0.7677998542785645,
"eval_runtime": 1774.3517,
"eval_samples_per_second": 0.305,
"eval_steps_per_second": 0.305,
"step": 1000
},
{
"epoch": 0.04,
"learning_rate": 0.0001999094324345594,
"loss": 0.7844,
"step": 1100
},
{
"epoch": 0.04,
"learning_rate": 0.00019989205537101633,
"loss": 0.7668,
"step": 1200
},
{
"epoch": 0.05,
"learning_rate": 0.00019987315514701553,
"loss": 0.7727,
"step": 1300
},
{
"epoch": 0.05,
"learning_rate": 0.00019985273205074878,
"loss": 0.7467,
"step": 1400
},
{
"epoch": 0.06,
"learning_rate": 0.00019983078639362883,
"loss": 0.7516,
"step": 1500
},
{
"epoch": 0.06,
"learning_rate": 0.00019980731851028445,
"loss": 0.7267,
"step": 1600
},
{
"epoch": 0.06,
"learning_rate": 0.0001997823287585554,
"loss": 0.7632,
"step": 1700
},
{
"epoch": 0.07,
"learning_rate": 0.000199755817519487,
"loss": 0.7392,
"step": 1800
},
{
"epoch": 0.07,
"learning_rate": 0.00019972778519732436,
"loss": 0.7528,
"step": 1900
},
{
"epoch": 0.07,
"learning_rate": 0.0001996982322195061,
"loss": 0.725,
"step": 2000
},
{
"epoch": 0.07,
"eval_loss": 0.7452704310417175,
"eval_runtime": 1787.7554,
"eval_samples_per_second": 0.303,
"eval_steps_per_second": 0.303,
"step": 2000
},
{
"epoch": 0.08,
"learning_rate": 0.00019966715903665795,
"loss": 0.7234,
"step": 2100
},
{
"epoch": 0.08,
"learning_rate": 0.00019963456612258576,
"loss": 0.754,
"step": 2200
},
{
"epoch": 0.09,
"learning_rate": 0.00019960045397426841,
"loss": 0.7856,
"step": 2300
},
{
"epoch": 0.09,
"learning_rate": 0.00019956482311185006,
"loss": 0.7387,
"step": 2400
},
{
"epoch": 0.09,
"learning_rate": 0.00019952767407863245,
"loss": 0.7309,
"step": 2500
},
{
"epoch": 0.1,
"learning_rate": 0.00019948900744106633,
"loss": 0.7232,
"step": 2600
},
{
"epoch": 0.1,
"learning_rate": 0.00019944882378874316,
"loss": 0.7406,
"step": 2700
},
{
"epoch": 0.1,
"learning_rate": 0.0001994071237343858,
"loss": 0.7166,
"step": 2800
},
{
"epoch": 0.11,
"learning_rate": 0.00019936390791383936,
"loss": 0.7308,
"step": 2900
},
{
"epoch": 0.11,
"learning_rate": 0.00019931917698606143,
"loss": 0.7288,
"step": 3000
},
{
"epoch": 0.11,
"eval_loss": 0.7343490123748779,
"eval_runtime": 1770.9966,
"eval_samples_per_second": 0.306,
"eval_steps_per_second": 0.306,
"step": 3000
},
{
"epoch": 0.12,
"learning_rate": 0.00019927293163311206,
"loss": 0.7236,
"step": 3100
},
{
"epoch": 0.12,
"learning_rate": 0.00019922517256014337,
"loss": 0.716,
"step": 3200
},
{
"epoch": 0.12,
"learning_rate": 0.00019917590049538874,
"loss": 0.7564,
"step": 3300
},
{
"epoch": 0.13,
"learning_rate": 0.00019912511619015177,
"loss": 0.7082,
"step": 3400
},
{
"epoch": 0.13,
"learning_rate": 0.00019907282041879484,
"loss": 0.7103,
"step": 3500
},
{
"epoch": 0.13,
"learning_rate": 0.00019901901397872715,
"loss": 0.7457,
"step": 3600
},
{
"epoch": 0.14,
"learning_rate": 0.0001989636976903928,
"loss": 0.7076,
"step": 3700
},
{
"epoch": 0.14,
"learning_rate": 0.0001989068723972581,
"loss": 0.7217,
"step": 3800
},
{
"epoch": 0.15,
"learning_rate": 0.00019884853896579873,
"loss": 0.7175,
"step": 3900
},
{
"epoch": 0.15,
"learning_rate": 0.0001987886982854866,
"loss": 0.7083,
"step": 4000
},
{
"epoch": 0.15,
"eval_loss": 0.726176917552948,
"eval_runtime": 1765.3933,
"eval_samples_per_second": 0.307,
"eval_steps_per_second": 0.307,
"step": 4000
},
{
"epoch": 0.15,
"learning_rate": 0.00019872735126877622,
"loss": 0.7228,
"step": 4100
},
{
"epoch": 0.16,
"learning_rate": 0.0001986644988510909,
"loss": 0.7133,
"step": 4200
},
{
"epoch": 0.16,
"learning_rate": 0.00019860014199080822,
"loss": 0.7243,
"step": 4300
},
{
"epoch": 0.16,
"learning_rate": 0.00019853428166924576,
"loss": 0.6929,
"step": 4400
},
{
"epoch": 0.17,
"learning_rate": 0.00019846691889064593,
"loss": 0.7392,
"step": 4500
},
{
"epoch": 0.17,
"learning_rate": 0.0001983980546821607,
"loss": 0.7247,
"step": 4600
},
{
"epoch": 0.18,
"learning_rate": 0.0001983276900938359,
"loss": 0.7258,
"step": 4700
},
{
"epoch": 0.18,
"learning_rate": 0.00019825582619859532,
"loss": 0.7197,
"step": 4800
},
{
"epoch": 0.18,
"learning_rate": 0.0001981824640922242,
"loss": 0.6906,
"step": 4900
},
{
"epoch": 0.19,
"learning_rate": 0.00019810760489335266,
"loss": 0.7274,
"step": 5000
},
{
"epoch": 0.19,
"eval_loss": 0.7171670794487,
"eval_runtime": 1812.7597,
"eval_samples_per_second": 0.299,
"eval_steps_per_second": 0.299,
"step": 5000
},
{
"epoch": 0.19,
"learning_rate": 0.0001980312497434385,
"loss": 0.7105,
"step": 5100
},
{
"epoch": 0.19,
"learning_rate": 0.00019795339980675002,
"loss": 0.7091,
"step": 5200
},
{
"epoch": 0.2,
"learning_rate": 0.00019787405627034804,
"loss": 0.7102,
"step": 5300
},
{
"epoch": 0.2,
"learning_rate": 0.0001977932203440678,
"loss": 0.7314,
"step": 5400
},
{
"epoch": 0.21,
"learning_rate": 0.00019771089326050075,
"loss": 0.6945,
"step": 5500
},
{
"epoch": 0.21,
"learning_rate": 0.0001976270762749755,
"loss": 0.7048,
"step": 5600
},
{
"epoch": 0.21,
"learning_rate": 0.00019754177066553882,
"loss": 0.6963,
"step": 5700
},
{
"epoch": 0.22,
"learning_rate": 0.00019745497773293613,
"loss": 0.711,
"step": 5800
},
{
"epoch": 0.22,
"learning_rate": 0.0001973666988005916,
"loss": 0.7017,
"step": 5900
},
{
"epoch": 0.22,
"learning_rate": 0.00019727693521458806,
"loss": 0.7287,
"step": 6000
},
{
"epoch": 0.22,
"eval_loss": 0.710155725479126,
"eval_runtime": 1786.7467,
"eval_samples_per_second": 0.303,
"eval_steps_per_second": 0.303,
"step": 6000
},
{
"epoch": 0.23,
"learning_rate": 0.00019718568834364638,
"loss": 0.6894,
"step": 6100
},
{
"epoch": 0.23,
"learning_rate": 0.00019709295957910476,
"loss": 0.7061,
"step": 6200
},
{
"epoch": 0.23,
"learning_rate": 0.00019699875033489728,
"loss": 0.7063,
"step": 6300
},
{
"epoch": 0.24,
"learning_rate": 0.00019690306204753254,
"loss": 0.6872,
"step": 6400
},
{
"epoch": 0.24,
"learning_rate": 0.0001968058961760717,
"loss": 0.7095,
"step": 6500
},
{
"epoch": 0.25,
"learning_rate": 0.00019670725420210618,
"loss": 0.695,
"step": 6600
},
{
"epoch": 0.25,
"learning_rate": 0.0001966071376297351,
"loss": 0.674,
"step": 6700
},
{
"epoch": 0.25,
"learning_rate": 0.00019650554798554236,
"loss": 0.7225,
"step": 6800
},
{
"epoch": 0.26,
"learning_rate": 0.00019640248681857342,
"loss": 0.6845,
"step": 6900
},
{
"epoch": 0.26,
"learning_rate": 0.00019629795570031149,
"loss": 0.6891,
"step": 7000
},
{
"epoch": 0.26,
"eval_loss": 0.703677773475647,
"eval_runtime": 1767.3593,
"eval_samples_per_second": 0.307,
"eval_steps_per_second": 0.307,
"step": 7000
},
{
"epoch": 0.26,
"learning_rate": 0.00019619195622465379,
"loss": 0.6962,
"step": 7100
},
{
"epoch": 0.27,
"learning_rate": 0.0001960844900078871,
"loss": 0.6779,
"step": 7200
},
{
"epoch": 0.27,
"learning_rate": 0.00019597555868866318,
"loss": 0.7354,
"step": 7300
},
{
"epoch": 0.28,
"learning_rate": 0.00019586516392797374,
"loss": 0.7196,
"step": 7400
},
{
"epoch": 0.28,
"learning_rate": 0.0001957533074091252,
"loss": 0.682,
"step": 7500
},
{
"epoch": 0.28,
"learning_rate": 0.0001956399908377129,
"loss": 0.6938,
"step": 7600
},
{
"epoch": 0.29,
"learning_rate": 0.0001955252159415952,
"loss": 0.6912,
"step": 7700
},
{
"epoch": 0.29,
"learning_rate": 0.00019540898447086705,
"loss": 0.7048,
"step": 7800
},
{
"epoch": 0.29,
"learning_rate": 0.00019529129819783334,
"loss": 0.7007,
"step": 7900
},
{
"epoch": 0.3,
"learning_rate": 0.00019517215891698192,
"loss": 0.6969,
"step": 8000
},
{
"epoch": 0.3,
"eval_loss": 0.6973471641540527,
"eval_runtime": 1793.2355,
"eval_samples_per_second": 0.302,
"eval_steps_per_second": 0.302,
"step": 8000
},
{
"epoch": 0.3,
"learning_rate": 0.00019505156844495619,
"loss": 0.6894,
"step": 8100
},
{
"epoch": 0.31,
"learning_rate": 0.00019492952862052733,
"loss": 0.6971,
"step": 8200
},
{
"epoch": 0.31,
"learning_rate": 0.0001948060413045665,
"loss": 0.7135,
"step": 8300
},
{
"epoch": 0.31,
"learning_rate": 0.0001946811083800161,
"loss": 0.6794,
"step": 8400
},
{
"epoch": 0.32,
"learning_rate": 0.0001945547317518614,
"loss": 0.7086,
"step": 8500
},
{
"epoch": 0.32,
"learning_rate": 0.00019442691334710136,
"loss": 0.7042,
"step": 8600
},
{
"epoch": 0.32,
"learning_rate": 0.00019429765511471916,
"loss": 0.6822,
"step": 8700
},
{
"epoch": 0.33,
"learning_rate": 0.0001941669590256526,
"loss": 0.7016,
"step": 8800
},
{
"epoch": 0.33,
"learning_rate": 0.00019403482707276406,
"loss": 0.705,
"step": 8900
},
{
"epoch": 0.34,
"learning_rate": 0.00019390126127080999,
"loss": 0.698,
"step": 9000
},
{
"epoch": 0.34,
"eval_loss": 0.6910382509231567,
"eval_runtime": 1782.1661,
"eval_samples_per_second": 0.304,
"eval_steps_per_second": 0.304,
"step": 9000
},
{
"epoch": 0.34,
"learning_rate": 0.00019376626365641026,
"loss": 0.6926,
"step": 9100
},
{
"epoch": 0.34,
"learning_rate": 0.0001936298362880172,
"loss": 0.6871,
"step": 9200
},
{
"epoch": 0.35,
"learning_rate": 0.00019349198124588403,
"loss": 0.6894,
"step": 9300
},
{
"epoch": 0.35,
"learning_rate": 0.00019335270063203325,
"loss": 0.6894,
"step": 9400
},
{
"epoch": 0.35,
"learning_rate": 0.00019321199657022464,
"loss": 0.7057,
"step": 9500
},
{
"epoch": 0.36,
"learning_rate": 0.00019306987120592265,
"loss": 0.6682,
"step": 9600
},
{
"epoch": 0.36,
"learning_rate": 0.00019292632670626401,
"loss": 0.6931,
"step": 9700
},
{
"epoch": 0.37,
"learning_rate": 0.00019278136526002443,
"loss": 0.7244,
"step": 9800
},
{
"epoch": 0.37,
"learning_rate": 0.0001926349890775853,
"loss": 0.6881,
"step": 9900
},
{
"epoch": 0.37,
"learning_rate": 0.00019248720039090006,
"loss": 0.6839,
"step": 10000
},
{
"epoch": 0.37,
"eval_loss": 0.6857322454452515,
"eval_runtime": 1760.8664,
"eval_samples_per_second": 0.308,
"eval_steps_per_second": 0.308,
"step": 10000
},
{
"epoch": 0.38,
"learning_rate": 0.00019233800145346006,
"loss": 0.6917,
"step": 10100
},
{
"epoch": 0.38,
"learning_rate": 0.0001921873945402602,
"loss": 0.6672,
"step": 10200
},
{
"epoch": 0.38,
"learning_rate": 0.00019203538194776442,
"loss": 0.6873,
"step": 10300
},
{
"epoch": 0.39,
"learning_rate": 0.00019188196599387043,
"loss": 0.6733,
"step": 10400
},
{
"epoch": 0.39,
"learning_rate": 0.00019172714901787453,
"loss": 0.706,
"step": 10500
},
{
"epoch": 0.4,
"learning_rate": 0.00019157093338043583,
"loss": 0.6848,
"step": 10600
},
{
"epoch": 0.4,
"learning_rate": 0.00019141332146354042,
"loss": 0.6728,
"step": 10700
},
{
"epoch": 0.4,
"learning_rate": 0.00019125431567046494,
"loss": 0.686,
"step": 10800
},
{
"epoch": 0.41,
"learning_rate": 0.00019109391842573987,
"loss": 0.6992,
"step": 10900
},
{
"epoch": 0.41,
"learning_rate": 0.00019093213217511265,
"loss": 0.6675,
"step": 11000
},
{
"epoch": 0.41,
"eval_loss": 0.6794907450675964,
"eval_runtime": 1782.5413,
"eval_samples_per_second": 0.304,
"eval_steps_per_second": 0.304,
"step": 11000
},
{
"epoch": 0.41,
"learning_rate": 0.0001907689593855104,
"loss": 0.6721,
"step": 11100
},
{
"epoch": 0.42,
"learning_rate": 0.00019060440254500228,
"loss": 0.6353,
"step": 11200
},
{
"epoch": 0.42,
"learning_rate": 0.00019043846416276155,
"loss": 0.6449,
"step": 11300
},
{
"epoch": 0.43,
"learning_rate": 0.0001902711467690272,
"loss": 0.6451,
"step": 11400
},
{
"epoch": 0.43,
"learning_rate": 0.00019010245291506569,
"loss": 0.6421,
"step": 11500
},
{
"epoch": 0.43,
"learning_rate": 0.00018993238517313167,
"loss": 0.6352,
"step": 11600
},
{
"epoch": 0.44,
"learning_rate": 0.0001897609461364289,
"loss": 0.6371,
"step": 11700
},
{
"epoch": 0.44,
"learning_rate": 0.00018958813841907083,
"loss": 0.623,
"step": 11800
},
{
"epoch": 0.44,
"learning_rate": 0.00018941396465604063,
"loss": 0.6533,
"step": 11900
},
{
"epoch": 0.45,
"learning_rate": 0.00018923842750315095,
"loss": 0.6371,
"step": 12000
},
{
"epoch": 0.45,
"eval_loss": 0.6759930849075317,
"eval_runtime": 1304.1351,
"eval_samples_per_second": 0.416,
"eval_steps_per_second": 0.416,
"step": 12000
},
{
"epoch": 0.45,
"learning_rate": 0.00018906152963700358,
"loss": 0.6664,
"step": 12100
},
{
"epoch": 0.45,
"learning_rate": 0.00018888327375494847,
"loss": 0.6644,
"step": 12200
},
{
"epoch": 0.46,
"learning_rate": 0.00018870366257504274,
"loss": 0.623,
"step": 12300
},
{
"epoch": 0.46,
"learning_rate": 0.00018852269883600918,
"loss": 0.6242,
"step": 12400
},
{
"epoch": 0.47,
"learning_rate": 0.00018834038529719446,
"loss": 0.6318,
"step": 12500
},
{
"epoch": 0.47,
"learning_rate": 0.0001881567247385271,
"loss": 0.6359,
"step": 12600
},
{
"epoch": 0.47,
"learning_rate": 0.00018797171996047505,
"loss": 0.6449,
"step": 12700
},
{
"epoch": 0.48,
"learning_rate": 0.00018778537378400304,
"loss": 0.6434,
"step": 12800
},
{
"epoch": 0.48,
"learning_rate": 0.00018759768905052946,
"loss": 0.6323,
"step": 12900
},
{
"epoch": 0.48,
"learning_rate": 0.00018740866862188317,
"loss": 0.6377,
"step": 13000
},
{
"epoch": 0.48,
"eval_loss": 0.6696639060974121,
"eval_runtime": 1238.6847,
"eval_samples_per_second": 0.438,
"eval_steps_per_second": 0.438,
"step": 13000
},
{
"epoch": 0.49,
"learning_rate": 0.0001872183153802598,
"loss": 0.6232,
"step": 13100
},
{
"epoch": 0.49,
"learning_rate": 0.00018702663222817774,
"loss": 0.6236,
"step": 13200
},
{
"epoch": 0.5,
"learning_rate": 0.00018683362208843395,
"loss": 0.6331,
"step": 13300
},
{
"epoch": 0.5,
"learning_rate": 0.00018663928790405945,
"loss": 0.6528,
"step": 13400
},
{
"epoch": 0.5,
"learning_rate": 0.00018644363263827426,
"loss": 0.6362,
"step": 13500
},
{
"epoch": 0.51,
"learning_rate": 0.00018624665927444248,
"loss": 0.6308,
"step": 13600
},
{
"epoch": 0.51,
"learning_rate": 0.00018604837081602656,
"loss": 0.6107,
"step": 13700
},
{
"epoch": 0.51,
"learning_rate": 0.00018584877028654154,
"loss": 0.6418,
"step": 13800
},
{
"epoch": 0.52,
"learning_rate": 0.00018564786072950917,
"loss": 0.6276,
"step": 13900
},
{
"epoch": 0.52,
"learning_rate": 0.00018544564520841118,
"loss": 0.6296,
"step": 14000
},
{
"epoch": 0.52,
"eval_loss": 0.6651941537857056,
"eval_runtime": 1277.2835,
"eval_samples_per_second": 0.424,
"eval_steps_per_second": 0.424,
"step": 14000
},
{
"epoch": 0.53,
"learning_rate": 0.00018524212680664286,
"loss": 0.636,
"step": 14100
},
{
"epoch": 0.53,
"learning_rate": 0.00018503730862746574,
"loss": 0.6643,
"step": 14200
},
{
"epoch": 0.53,
"learning_rate": 0.00018483119379396058,
"loss": 0.6282,
"step": 14300
},
{
"epoch": 0.54,
"learning_rate": 0.0001846237854489796,
"loss": 0.6381,
"step": 14400
},
{
"epoch": 0.54,
"learning_rate": 0.00018441508675509844,
"loss": 0.6692,
"step": 14500
},
{
"epoch": 0.54,
"learning_rate": 0.00018420510089456823,
"loss": 0.6478,
"step": 14600
},
{
"epoch": 0.55,
"learning_rate": 0.00018399383106926676,
"loss": 0.6293,
"step": 14700
},
{
"epoch": 0.55,
"learning_rate": 0.00018378128050064988,
"loss": 0.6406,
"step": 14800
},
{
"epoch": 0.56,
"learning_rate": 0.0001835674524297023,
"loss": 0.6407,
"step": 14900
},
{
"epoch": 0.56,
"learning_rate": 0.0001833523501168881,
"loss": 0.633,
"step": 15000
},
{
"epoch": 0.56,
"eval_loss": 0.6601429581642151,
"eval_runtime": 1275.6071,
"eval_samples_per_second": 0.425,
"eval_steps_per_second": 0.425,
"step": 15000
},
{
"epoch": 0.56,
"learning_rate": 0.00018313597684210115,
"loss": 0.6198,
"step": 15100
},
{
"epoch": 0.57,
"learning_rate": 0.00018291833590461498,
"loss": 0.6345,
"step": 15200
},
{
"epoch": 0.57,
"learning_rate": 0.00018269943062303257,
"loss": 0.6554,
"step": 15300
},
{
"epoch": 0.57,
"learning_rate": 0.00018247926433523562,
"loss": 0.6151,
"step": 15400
},
{
"epoch": 0.58,
"learning_rate": 0.00018225784039833386,
"loss": 0.6331,
"step": 15500
},
{
"epoch": 0.58,
"learning_rate": 0.0001820351621886136,
"loss": 0.6256,
"step": 15600
},
{
"epoch": 0.59,
"learning_rate": 0.0001818112331014865,
"loss": 0.6263,
"step": 15700
},
{
"epoch": 0.59,
"learning_rate": 0.00018158605655143757,
"loss": 0.6015,
"step": 15800
},
{
"epoch": 0.59,
"learning_rate": 0.00018135963597197327,
"loss": 0.6144,
"step": 15900
},
{
"epoch": 0.6,
"learning_rate": 0.00018113197481556912,
"loss": 0.613,
"step": 16000
},
{
"epoch": 0.6,
"eval_loss": 0.6547831892967224,
"eval_runtime": 1305.9645,
"eval_samples_per_second": 0.415,
"eval_steps_per_second": 0.415,
"step": 16000
},
{
"epoch": 0.6,
"learning_rate": 0.00018090307655361701,
"loss": 0.6354,
"step": 16100
},
{
"epoch": 0.6,
"learning_rate": 0.00018067294467637228,
"loss": 0.6349,
"step": 16200
},
{
"epoch": 0.61,
"learning_rate": 0.00018044158269290054,
"loss": 0.6127,
"step": 16300
},
{
"epoch": 0.61,
"learning_rate": 0.00018020899413102412,
"loss": 0.5977,
"step": 16400
},
{
"epoch": 0.62,
"learning_rate": 0.00017997518253726834,
"loss": 0.6213,
"step": 16500
},
{
"epoch": 0.62,
"learning_rate": 0.00017974015147680734,
"loss": 0.6168,
"step": 16600
},
{
"epoch": 0.62,
"learning_rate": 0.00017950390453340978,
"loss": 0.5978,
"step": 16700
},
{
"epoch": 0.63,
"learning_rate": 0.0001792664453093842,
"loss": 0.6201,
"step": 16800
},
{
"epoch": 0.63,
"learning_rate": 0.000179027777425524,
"loss": 0.6141,
"step": 16900
},
{
"epoch": 0.63,
"learning_rate": 0.00017878790452105245,
"loss": 0.6135,
"step": 17000
},
{
"epoch": 0.63,
"eval_loss": 0.6480616927146912,
"eval_runtime": 1347.9883,
"eval_samples_per_second": 0.402,
"eval_steps_per_second": 0.402,
"step": 17000
},
{
"epoch": 0.64,
"learning_rate": 0.0001785468302535669,
"loss": 0.6363,
"step": 17100
},
{
"epoch": 0.64,
"learning_rate": 0.00017830455829898317,
"loss": 0.6076,
"step": 17200
},
{
"epoch": 0.65,
"learning_rate": 0.00017806109235147963,
"loss": 0.609,
"step": 17300
},
{
"epoch": 0.65,
"learning_rate": 0.00017781643612344058,
"loss": 0.6044,
"step": 17400
},
{
"epoch": 0.65,
"learning_rate": 0.00017757059334539994,
"loss": 0.6262,
"step": 17500
},
{
"epoch": 0.66,
"learning_rate": 0.00017732356776598403,
"loss": 0.6195,
"step": 17600
},
{
"epoch": 0.66,
"learning_rate": 0.0001770753631518548,
"loss": 0.6328,
"step": 17700
},
{
"epoch": 0.66,
"learning_rate": 0.000176825983287652,
"loss": 0.6028,
"step": 17800
},
{
"epoch": 0.67,
"learning_rate": 0.0001765754319759358,
"loss": 0.6159,
"step": 17900
},
{
"epoch": 0.67,
"learning_rate": 0.0001763237130371287,
"loss": 0.6169,
"step": 18000
},
{
"epoch": 0.67,
"eval_loss": 0.6444052457809448,
"eval_runtime": 1304.3701,
"eval_samples_per_second": 0.416,
"eval_steps_per_second": 0.416,
"step": 18000
},
{
"epoch": 0.67,
"learning_rate": 0.0001760708303094572,
"loss": 0.6183,
"step": 18100
},
{
"epoch": 0.68,
"learning_rate": 0.00017581678764889324,
"loss": 0.6116,
"step": 18200
},
{
"epoch": 0.68,
"learning_rate": 0.00017556158892909567,
"loss": 0.6406,
"step": 18300
},
{
"epoch": 0.69,
"learning_rate": 0.00017530523804135085,
"loss": 0.6223,
"step": 18400
},
{
"epoch": 0.69,
"learning_rate": 0.00017504773889451361,
"loss": 0.628,
"step": 18500
},
{
"epoch": 0.69,
"learning_rate": 0.00017478909541494736,
"loss": 0.6173,
"step": 18600
},
{
"epoch": 0.7,
"learning_rate": 0.00017452931154646444,
"loss": 0.61,
"step": 18700
},
{
"epoch": 0.7,
"learning_rate": 0.00017426839125026598,
"loss": 0.5959,
"step": 18800
},
{
"epoch": 0.7,
"learning_rate": 0.00017400633850488128,
"loss": 0.5979,
"step": 18900
},
{
"epoch": 0.71,
"learning_rate": 0.00017374315730610745,
"loss": 0.6161,
"step": 19000
},
{
"epoch": 0.71,
"eval_loss": 0.6378119587898254,
"eval_runtime": 1283.5987,
"eval_samples_per_second": 0.422,
"eval_steps_per_second": 0.422,
"step": 19000
},
{
"epoch": 0.71,
"learning_rate": 0.00017347885166694825,
"loss": 0.6213,
"step": 19100
},
{
"epoch": 0.72,
"learning_rate": 0.00017321342561755297,
"loss": 0.6217,
"step": 19200
},
{
"epoch": 0.72,
"learning_rate": 0.00017294688320515506,
"loss": 0.6127,
"step": 19300
},
{
"epoch": 0.72,
"learning_rate": 0.00017267922849401024,
"loss": 0.6145,
"step": 19400
},
{
"epoch": 0.73,
"learning_rate": 0.00017241046556533472,
"loss": 0.5936,
"step": 19500
},
{
"epoch": 0.73,
"learning_rate": 0.0001721405985172428,
"loss": 0.6273,
"step": 19600
},
{
"epoch": 0.73,
"learning_rate": 0.0001718696314646846,
"loss": 0.6059,
"step": 19700
},
{
"epoch": 0.74,
"learning_rate": 0.000171597568539383,
"loss": 0.5934,
"step": 19800
},
{
"epoch": 0.74,
"learning_rate": 0.000171324413889771,
"loss": 0.6243,
"step": 19900
},
{
"epoch": 0.75,
"learning_rate": 0.00017105017168092808,
"loss": 0.6164,
"step": 20000
},
{
"epoch": 0.75,
"eval_loss": 0.6324757933616638,
"eval_runtime": 1266.6769,
"eval_samples_per_second": 0.428,
"eval_steps_per_second": 0.428,
"step": 20000
}
],
"max_steps": 80463,
"num_train_epochs": 3,
"total_flos": 5.606446667012506e+18,
"trial_name": null,
"trial_params": null
}