QingyiSi's picture
Upload 1268 files
4697198
raw
history blame
17.3 kB
{
"best_metric": 0.7678119540214539,
"best_model_checkpoint": "/mnt/bn/qingyi-bn-lq/llama/saved-alpaca-cot7b/checkpoint-2400",
"epoch": 2.4628014366341713,
"global_step": 2400,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.02,
"learning_rate": 5.9999999999999995e-05,
"loss": 2.2274,
"step": 20
},
{
"epoch": 0.04,
"learning_rate": 0.00011999999999999999,
"loss": 1.8266,
"step": 40
},
{
"epoch": 0.06,
"learning_rate": 0.00017999999999999998,
"loss": 1.2659,
"step": 60
},
{
"epoch": 0.08,
"learning_rate": 0.00023999999999999998,
"loss": 1.0441,
"step": 80
},
{
"epoch": 0.1,
"learning_rate": 0.0003,
"loss": 0.9422,
"step": 100
},
{
"epoch": 0.12,
"learning_rate": 0.0002978738483345145,
"loss": 0.8938,
"step": 120
},
{
"epoch": 0.14,
"learning_rate": 0.000295747696669029,
"loss": 0.8698,
"step": 140
},
{
"epoch": 0.16,
"learning_rate": 0.00029362154500354353,
"loss": 0.8406,
"step": 160
},
{
"epoch": 0.18,
"learning_rate": 0.0002914953933380581,
"loss": 0.835,
"step": 180
},
{
"epoch": 0.21,
"learning_rate": 0.0002893692416725726,
"loss": 0.8199,
"step": 200
},
{
"epoch": 0.21,
"eval_loss": 0.8377243876457214,
"eval_runtime": 16.2911,
"eval_samples_per_second": 122.767,
"eval_steps_per_second": 1.964,
"step": 200
},
{
"epoch": 0.23,
"learning_rate": 0.00028724309000708714,
"loss": 0.8119,
"step": 220
},
{
"epoch": 0.25,
"learning_rate": 0.00028511693834160166,
"loss": 0.808,
"step": 240
},
{
"epoch": 0.27,
"learning_rate": 0.0002829907866761162,
"loss": 0.8067,
"step": 260
},
{
"epoch": 0.29,
"learning_rate": 0.00028086463501063075,
"loss": 0.8058,
"step": 280
},
{
"epoch": 0.31,
"learning_rate": 0.00027873848334514527,
"loss": 0.7993,
"step": 300
},
{
"epoch": 0.33,
"learning_rate": 0.0002766123316796598,
"loss": 0.802,
"step": 320
},
{
"epoch": 0.35,
"learning_rate": 0.0002744861800141743,
"loss": 0.7932,
"step": 340
},
{
"epoch": 0.37,
"learning_rate": 0.0002723600283486889,
"loss": 0.7873,
"step": 360
},
{
"epoch": 0.39,
"learning_rate": 0.0002702338766832034,
"loss": 0.7864,
"step": 380
},
{
"epoch": 0.41,
"learning_rate": 0.0002681077250177179,
"loss": 0.7925,
"step": 400
},
{
"epoch": 0.41,
"eval_loss": 0.8077966570854187,
"eval_runtime": 16.2968,
"eval_samples_per_second": 122.724,
"eval_steps_per_second": 1.964,
"step": 400
},
{
"epoch": 0.43,
"learning_rate": 0.00026598157335223243,
"loss": 0.7862,
"step": 420
},
{
"epoch": 0.45,
"learning_rate": 0.00026385542168674695,
"loss": 0.7825,
"step": 440
},
{
"epoch": 0.47,
"learning_rate": 0.0002617292700212615,
"loss": 0.7914,
"step": 460
},
{
"epoch": 0.49,
"learning_rate": 0.00025960311835577604,
"loss": 0.7951,
"step": 480
},
{
"epoch": 0.51,
"learning_rate": 0.00025747696669029056,
"loss": 0.7824,
"step": 500
},
{
"epoch": 0.53,
"learning_rate": 0.0002553508150248051,
"loss": 0.7808,
"step": 520
},
{
"epoch": 0.55,
"learning_rate": 0.0002532246633593196,
"loss": 0.7811,
"step": 540
},
{
"epoch": 0.57,
"learning_rate": 0.0002510985116938341,
"loss": 0.7826,
"step": 560
},
{
"epoch": 0.6,
"learning_rate": 0.0002489723600283487,
"loss": 0.7758,
"step": 580
},
{
"epoch": 0.62,
"learning_rate": 0.0002468462083628632,
"loss": 0.7827,
"step": 600
},
{
"epoch": 0.62,
"eval_loss": 0.796688973903656,
"eval_runtime": 16.4193,
"eval_samples_per_second": 121.808,
"eval_steps_per_second": 1.949,
"step": 600
},
{
"epoch": 0.64,
"learning_rate": 0.0002447200566973777,
"loss": 0.7732,
"step": 620
},
{
"epoch": 0.66,
"learning_rate": 0.00024259390503189224,
"loss": 0.7784,
"step": 640
},
{
"epoch": 0.68,
"learning_rate": 0.0002404677533664068,
"loss": 0.78,
"step": 660
},
{
"epoch": 0.7,
"learning_rate": 0.0002383416017009213,
"loss": 0.7789,
"step": 680
},
{
"epoch": 0.72,
"learning_rate": 0.00023621545003543583,
"loss": 0.7762,
"step": 700
},
{
"epoch": 0.74,
"learning_rate": 0.0002340892983699504,
"loss": 0.7802,
"step": 720
},
{
"epoch": 0.76,
"learning_rate": 0.00023196314670446492,
"loss": 0.7749,
"step": 740
},
{
"epoch": 0.78,
"learning_rate": 0.00022983699503897943,
"loss": 0.7643,
"step": 760
},
{
"epoch": 0.8,
"learning_rate": 0.00022771084337349395,
"loss": 0.7648,
"step": 780
},
{
"epoch": 0.82,
"learning_rate": 0.00022558469170800847,
"loss": 0.767,
"step": 800
},
{
"epoch": 0.82,
"eval_loss": 0.7896291613578796,
"eval_runtime": 16.2986,
"eval_samples_per_second": 122.71,
"eval_steps_per_second": 1.963,
"step": 800
},
{
"epoch": 0.84,
"learning_rate": 0.00022345854004252302,
"loss": 0.7707,
"step": 820
},
{
"epoch": 0.86,
"learning_rate": 0.00022133238837703754,
"loss": 0.76,
"step": 840
},
{
"epoch": 0.88,
"learning_rate": 0.00021920623671155208,
"loss": 0.7644,
"step": 860
},
{
"epoch": 0.9,
"learning_rate": 0.0002170800850460666,
"loss": 0.7741,
"step": 880
},
{
"epoch": 0.92,
"learning_rate": 0.00021495393338058114,
"loss": 0.7678,
"step": 900
},
{
"epoch": 0.94,
"learning_rate": 0.00021282778171509566,
"loss": 0.76,
"step": 920
},
{
"epoch": 0.96,
"learning_rate": 0.00021070163004961018,
"loss": 0.779,
"step": 940
},
{
"epoch": 0.99,
"learning_rate": 0.0002085754783841247,
"loss": 0.7605,
"step": 960
},
{
"epoch": 1.01,
"learning_rate": 0.00020644932671863922,
"loss": 0.7571,
"step": 980
},
{
"epoch": 1.03,
"learning_rate": 0.0002043231750531538,
"loss": 0.7595,
"step": 1000
},
{
"epoch": 1.03,
"eval_loss": 0.7847340106964111,
"eval_runtime": 16.2989,
"eval_samples_per_second": 122.707,
"eval_steps_per_second": 1.963,
"step": 1000
},
{
"epoch": 1.05,
"learning_rate": 0.0002021970233876683,
"loss": 0.7569,
"step": 1020
},
{
"epoch": 1.07,
"learning_rate": 0.00020007087172218283,
"loss": 0.7523,
"step": 1040
},
{
"epoch": 1.09,
"learning_rate": 0.00019794472005669735,
"loss": 0.7621,
"step": 1060
},
{
"epoch": 1.11,
"learning_rate": 0.0001958185683912119,
"loss": 0.7556,
"step": 1080
},
{
"epoch": 1.13,
"learning_rate": 0.0001936924167257264,
"loss": 0.7594,
"step": 1100
},
{
"epoch": 1.15,
"learning_rate": 0.00019156626506024093,
"loss": 0.7612,
"step": 1120
},
{
"epoch": 1.17,
"learning_rate": 0.0001894401133947555,
"loss": 0.7587,
"step": 1140
},
{
"epoch": 1.19,
"learning_rate": 0.00018731396172927002,
"loss": 0.7533,
"step": 1160
},
{
"epoch": 1.21,
"learning_rate": 0.00018518781006378454,
"loss": 0.7573,
"step": 1180
},
{
"epoch": 1.23,
"learning_rate": 0.00018306165839829906,
"loss": 0.761,
"step": 1200
},
{
"epoch": 1.23,
"eval_loss": 0.7821407318115234,
"eval_runtime": 16.2951,
"eval_samples_per_second": 122.736,
"eval_steps_per_second": 1.964,
"step": 1200
},
{
"epoch": 1.25,
"learning_rate": 0.00018093550673281358,
"loss": 0.7548,
"step": 1220
},
{
"epoch": 1.27,
"learning_rate": 0.00017880935506732812,
"loss": 0.7556,
"step": 1240
},
{
"epoch": 1.29,
"learning_rate": 0.00017668320340184267,
"loss": 0.7605,
"step": 1260
},
{
"epoch": 1.31,
"learning_rate": 0.00017455705173635719,
"loss": 0.7528,
"step": 1280
},
{
"epoch": 1.33,
"learning_rate": 0.0001724309000708717,
"loss": 0.7584,
"step": 1300
},
{
"epoch": 1.35,
"learning_rate": 0.00017030474840538625,
"loss": 0.7596,
"step": 1320
},
{
"epoch": 1.38,
"learning_rate": 0.00016817859673990077,
"loss": 0.7514,
"step": 1340
},
{
"epoch": 1.4,
"learning_rate": 0.00016605244507441529,
"loss": 0.746,
"step": 1360
},
{
"epoch": 1.42,
"learning_rate": 0.0001639262934089298,
"loss": 0.7581,
"step": 1380
},
{
"epoch": 1.44,
"learning_rate": 0.00016180014174344438,
"loss": 0.7619,
"step": 1400
},
{
"epoch": 1.44,
"eval_loss": 0.777686357498169,
"eval_runtime": 16.3364,
"eval_samples_per_second": 122.426,
"eval_steps_per_second": 1.959,
"step": 1400
},
{
"epoch": 1.46,
"learning_rate": 0.0001596739900779589,
"loss": 0.7421,
"step": 1420
},
{
"epoch": 1.48,
"learning_rate": 0.00015754783841247341,
"loss": 0.745,
"step": 1440
},
{
"epoch": 1.5,
"learning_rate": 0.00015542168674698793,
"loss": 0.7631,
"step": 1460
},
{
"epoch": 1.52,
"learning_rate": 0.00015329553508150245,
"loss": 0.7532,
"step": 1480
},
{
"epoch": 1.54,
"learning_rate": 0.000151169383416017,
"loss": 0.7491,
"step": 1500
},
{
"epoch": 1.56,
"learning_rate": 0.00014904323175053151,
"loss": 0.743,
"step": 1520
},
{
"epoch": 1.58,
"learning_rate": 0.00014691708008504606,
"loss": 0.7575,
"step": 1540
},
{
"epoch": 1.6,
"learning_rate": 0.00014479092841956058,
"loss": 0.7519,
"step": 1560
},
{
"epoch": 1.62,
"learning_rate": 0.00014266477675407512,
"loss": 0.7504,
"step": 1580
},
{
"epoch": 1.64,
"learning_rate": 0.00014053862508858964,
"loss": 0.748,
"step": 1600
},
{
"epoch": 1.64,
"eval_loss": 0.7752982378005981,
"eval_runtime": 16.3209,
"eval_samples_per_second": 122.542,
"eval_steps_per_second": 1.961,
"step": 1600
},
{
"epoch": 1.66,
"learning_rate": 0.00013841247342310416,
"loss": 0.7536,
"step": 1620
},
{
"epoch": 1.68,
"learning_rate": 0.0001362863217576187,
"loss": 0.7455,
"step": 1640
},
{
"epoch": 1.7,
"learning_rate": 0.00013416017009213323,
"loss": 0.7509,
"step": 1660
},
{
"epoch": 1.72,
"learning_rate": 0.00013203401842664774,
"loss": 0.7529,
"step": 1680
},
{
"epoch": 1.74,
"learning_rate": 0.0001299078667611623,
"loss": 0.7505,
"step": 1700
},
{
"epoch": 1.77,
"learning_rate": 0.0001277817150956768,
"loss": 0.7384,
"step": 1720
},
{
"epoch": 1.79,
"learning_rate": 0.00012565556343019135,
"loss": 0.7396,
"step": 1740
},
{
"epoch": 1.81,
"learning_rate": 0.00012352941176470587,
"loss": 0.7552,
"step": 1760
},
{
"epoch": 1.83,
"learning_rate": 0.0001214032600992204,
"loss": 0.7459,
"step": 1780
},
{
"epoch": 1.85,
"learning_rate": 0.00011927710843373494,
"loss": 0.7494,
"step": 1800
},
{
"epoch": 1.85,
"eval_loss": 0.7731354832649231,
"eval_runtime": 16.3191,
"eval_samples_per_second": 122.556,
"eval_steps_per_second": 1.961,
"step": 1800
},
{
"epoch": 1.87,
"learning_rate": 0.00011715095676824945,
"loss": 0.7498,
"step": 1820
},
{
"epoch": 1.89,
"learning_rate": 0.000115024805102764,
"loss": 0.7544,
"step": 1840
},
{
"epoch": 1.91,
"learning_rate": 0.00011289865343727852,
"loss": 0.751,
"step": 1860
},
{
"epoch": 1.93,
"learning_rate": 0.00011077250177179304,
"loss": 0.745,
"step": 1880
},
{
"epoch": 1.95,
"learning_rate": 0.00010864635010630757,
"loss": 0.742,
"step": 1900
},
{
"epoch": 1.97,
"learning_rate": 0.00010652019844082211,
"loss": 0.745,
"step": 1920
},
{
"epoch": 1.99,
"learning_rate": 0.00010439404677533663,
"loss": 0.7457,
"step": 1940
},
{
"epoch": 2.01,
"learning_rate": 0.00010226789510985115,
"loss": 0.7475,
"step": 1960
},
{
"epoch": 2.03,
"learning_rate": 0.0001001417434443657,
"loss": 0.742,
"step": 1980
},
{
"epoch": 2.05,
"learning_rate": 9.801559177888021e-05,
"loss": 0.7365,
"step": 2000
},
{
"epoch": 2.05,
"eval_loss": 0.7715820074081421,
"eval_runtime": 16.3224,
"eval_samples_per_second": 122.531,
"eval_steps_per_second": 1.96,
"step": 2000
},
{
"epoch": 2.07,
"learning_rate": 9.588944011339475e-05,
"loss": 0.7431,
"step": 2020
},
{
"epoch": 2.09,
"learning_rate": 9.376328844790927e-05,
"loss": 0.7515,
"step": 2040
},
{
"epoch": 2.11,
"learning_rate": 9.163713678242381e-05,
"loss": 0.7483,
"step": 2060
},
{
"epoch": 2.13,
"learning_rate": 8.951098511693833e-05,
"loss": 0.7355,
"step": 2080
},
{
"epoch": 2.15,
"learning_rate": 8.738483345145286e-05,
"loss": 0.7404,
"step": 2100
},
{
"epoch": 2.18,
"learning_rate": 8.525868178596739e-05,
"loss": 0.7403,
"step": 2120
},
{
"epoch": 2.2,
"learning_rate": 8.313253012048193e-05,
"loss": 0.7435,
"step": 2140
},
{
"epoch": 2.22,
"learning_rate": 8.100637845499644e-05,
"loss": 0.7503,
"step": 2160
},
{
"epoch": 2.24,
"learning_rate": 7.888022678951099e-05,
"loss": 0.7335,
"step": 2180
},
{
"epoch": 2.26,
"learning_rate": 7.675407512402551e-05,
"loss": 0.7481,
"step": 2200
},
{
"epoch": 2.26,
"eval_loss": 0.769282341003418,
"eval_runtime": 16.3527,
"eval_samples_per_second": 122.304,
"eval_steps_per_second": 1.957,
"step": 2200
},
{
"epoch": 2.28,
"learning_rate": 7.462792345854004e-05,
"loss": 0.7396,
"step": 2220
},
{
"epoch": 2.3,
"learning_rate": 7.250177179305457e-05,
"loss": 0.736,
"step": 2240
},
{
"epoch": 2.32,
"learning_rate": 7.037562012756909e-05,
"loss": 0.7443,
"step": 2260
},
{
"epoch": 2.34,
"learning_rate": 6.824946846208362e-05,
"loss": 0.7501,
"step": 2280
},
{
"epoch": 2.36,
"learning_rate": 6.612331679659815e-05,
"loss": 0.7335,
"step": 2300
},
{
"epoch": 2.38,
"learning_rate": 6.399716513111269e-05,
"loss": 0.7507,
"step": 2320
},
{
"epoch": 2.4,
"learning_rate": 6.187101346562722e-05,
"loss": 0.7449,
"step": 2340
},
{
"epoch": 2.42,
"learning_rate": 5.9744861800141736e-05,
"loss": 0.7397,
"step": 2360
},
{
"epoch": 2.44,
"learning_rate": 5.761871013465627e-05,
"loss": 0.743,
"step": 2380
},
{
"epoch": 2.46,
"learning_rate": 5.5492558469170794e-05,
"loss": 0.7416,
"step": 2400
},
{
"epoch": 2.46,
"eval_loss": 0.7678119540214539,
"eval_runtime": 16.3147,
"eval_samples_per_second": 122.589,
"eval_steps_per_second": 1.961,
"step": 2400
}
],
"max_steps": 2922,
"num_train_epochs": 3,
"total_flos": 6.238780296288797e+18,
"trial_name": null,
"trial_params": null
}