plip's picture
Training in progress, step 60000
90dbf5c
raw
history blame
27.1 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 1.8382916143264194,
"global_step": 60000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.02,
"learning_rate": 5.999999999999999e-06,
"loss": 0.9345,
"step": 500
},
{
"epoch": 0.03,
"learning_rate": 1.1999999999999999e-05,
"loss": 0.7514,
"step": 1000
},
{
"epoch": 0.03,
"eval_loss": 0.9052248597145081,
"eval_runtime": 0.5073,
"eval_samples_per_second": 1971.284,
"eval_steps_per_second": 31.541,
"step": 1000
},
{
"epoch": 0.05,
"learning_rate": 1.7999999999999997e-05,
"loss": 0.7408,
"step": 1500
},
{
"epoch": 0.06,
"learning_rate": 2.3999999999999997e-05,
"loss": 0.74,
"step": 2000
},
{
"epoch": 0.06,
"eval_loss": 0.9058064818382263,
"eval_runtime": 0.5123,
"eval_samples_per_second": 1952.096,
"eval_steps_per_second": 31.234,
"step": 2000
},
{
"epoch": 0.08,
"learning_rate": 2.9999999999999997e-05,
"loss": 0.7398,
"step": 2500
},
{
"epoch": 0.09,
"learning_rate": 3.5999999999999994e-05,
"loss": 0.7395,
"step": 3000
},
{
"epoch": 0.09,
"eval_loss": 0.9068936705589294,
"eval_runtime": 0.499,
"eval_samples_per_second": 2003.855,
"eval_steps_per_second": 32.062,
"step": 3000
},
{
"epoch": 0.11,
"learning_rate": 4.2e-05,
"loss": 0.7394,
"step": 3500
},
{
"epoch": 0.12,
"learning_rate": 4.7999999999999994e-05,
"loss": 0.7392,
"step": 4000
},
{
"epoch": 0.12,
"eval_loss": 0.9032273888587952,
"eval_runtime": 0.5086,
"eval_samples_per_second": 1966.372,
"eval_steps_per_second": 31.462,
"step": 4000
},
{
"epoch": 0.14,
"learning_rate": 5.399999999999999e-05,
"loss": 0.7389,
"step": 4500
},
{
"epoch": 0.15,
"learning_rate": 5.9999999999999995e-05,
"loss": 0.7386,
"step": 5000
},
{
"epoch": 0.15,
"eval_loss": 0.9034351706504822,
"eval_runtime": 0.5101,
"eval_samples_per_second": 1960.24,
"eval_steps_per_second": 31.364,
"step": 5000
},
{
"epoch": 0.17,
"learning_rate": 6.599999999999999e-05,
"loss": 0.7382,
"step": 5500
},
{
"epoch": 0.18,
"learning_rate": 7.199999999999999e-05,
"loss": 0.7377,
"step": 6000
},
{
"epoch": 0.18,
"eval_loss": 0.8661078810691833,
"eval_runtime": 0.5119,
"eval_samples_per_second": 1953.649,
"eval_steps_per_second": 31.258,
"step": 6000
},
{
"epoch": 0.2,
"learning_rate": 7.8e-05,
"loss": 0.7375,
"step": 6500
},
{
"epoch": 0.21,
"learning_rate": 8.4e-05,
"loss": 0.7373,
"step": 7000
},
{
"epoch": 0.21,
"eval_loss": 0.8658460974693298,
"eval_runtime": 0.5198,
"eval_samples_per_second": 1923.698,
"eval_steps_per_second": 30.779,
"step": 7000
},
{
"epoch": 0.23,
"learning_rate": 8.999999999999999e-05,
"loss": 0.7367,
"step": 7500
},
{
"epoch": 0.25,
"learning_rate": 9.599999999999999e-05,
"loss": 0.7207,
"step": 8000
},
{
"epoch": 0.25,
"eval_loss": 0.8675529956817627,
"eval_runtime": 0.5261,
"eval_samples_per_second": 1900.917,
"eval_steps_per_second": 30.415,
"step": 8000
},
{
"epoch": 0.26,
"learning_rate": 0.000102,
"loss": 0.6905,
"step": 8500
},
{
"epoch": 0.28,
"learning_rate": 0.00010799999999999998,
"loss": 0.6746,
"step": 9000
},
{
"epoch": 0.28,
"eval_loss": 0.8773286938667297,
"eval_runtime": 0.5159,
"eval_samples_per_second": 1938.548,
"eval_steps_per_second": 31.017,
"step": 9000
},
{
"epoch": 0.29,
"learning_rate": 0.00011399999999999999,
"loss": 0.6617,
"step": 9500
},
{
"epoch": 0.31,
"learning_rate": 0.00011999999999999999,
"loss": 0.6406,
"step": 10000
},
{
"epoch": 0.31,
"eval_loss": 0.8803548812866211,
"eval_runtime": 0.5084,
"eval_samples_per_second": 1966.828,
"eval_steps_per_second": 31.469,
"step": 10000
},
{
"epoch": 0.32,
"learning_rate": 0.00012599999999999997,
"loss": 0.6275,
"step": 10500
},
{
"epoch": 0.34,
"learning_rate": 0.00013199999999999998,
"loss": 0.6079,
"step": 11000
},
{
"epoch": 0.34,
"eval_loss": 0.8707549571990967,
"eval_runtime": 0.5111,
"eval_samples_per_second": 1956.647,
"eval_steps_per_second": 31.306,
"step": 11000
},
{
"epoch": 0.35,
"learning_rate": 0.000138,
"loss": 0.5977,
"step": 11500
},
{
"epoch": 0.37,
"learning_rate": 0.00014399999999999998,
"loss": 0.5907,
"step": 12000
},
{
"epoch": 0.37,
"eval_loss": 0.8676372766494751,
"eval_runtime": 0.5179,
"eval_samples_per_second": 1930.992,
"eval_steps_per_second": 30.896,
"step": 12000
},
{
"epoch": 0.38,
"learning_rate": 0.00015,
"loss": 0.5834,
"step": 12500
},
{
"epoch": 0.4,
"learning_rate": 0.000156,
"loss": 0.5764,
"step": 13000
},
{
"epoch": 0.4,
"eval_loss": 0.8676320910453796,
"eval_runtime": 0.5238,
"eval_samples_per_second": 1909.011,
"eval_steps_per_second": 30.544,
"step": 13000
},
{
"epoch": 0.41,
"learning_rate": 0.000162,
"loss": 0.5696,
"step": 13500
},
{
"epoch": 0.43,
"learning_rate": 0.000168,
"loss": 0.5648,
"step": 14000
},
{
"epoch": 0.43,
"eval_loss": 0.860458254814148,
"eval_runtime": 0.5396,
"eval_samples_per_second": 1853.225,
"eval_steps_per_second": 29.652,
"step": 14000
},
{
"epoch": 0.44,
"learning_rate": 0.00017399999999999997,
"loss": 0.5602,
"step": 14500
},
{
"epoch": 0.46,
"learning_rate": 0.00017999999999999998,
"loss": 0.556,
"step": 15000
},
{
"epoch": 0.46,
"eval_loss": 0.8584501147270203,
"eval_runtime": 0.5323,
"eval_samples_per_second": 1878.593,
"eval_steps_per_second": 30.057,
"step": 15000
},
{
"epoch": 0.47,
"learning_rate": 0.000186,
"loss": 0.5519,
"step": 15500
},
{
"epoch": 0.49,
"learning_rate": 0.00019199999999999998,
"loss": 0.5459,
"step": 16000
},
{
"epoch": 0.49,
"eval_loss": 0.8554501533508301,
"eval_runtime": 0.5107,
"eval_samples_per_second": 1957.988,
"eval_steps_per_second": 31.328,
"step": 16000
},
{
"epoch": 0.51,
"learning_rate": 0.000198,
"loss": 0.5412,
"step": 16500
},
{
"epoch": 0.52,
"learning_rate": 0.000204,
"loss": 0.5374,
"step": 17000
},
{
"epoch": 0.52,
"eval_loss": 0.8554509282112122,
"eval_runtime": 0.5145,
"eval_samples_per_second": 1943.819,
"eval_steps_per_second": 31.101,
"step": 17000
},
{
"epoch": 0.54,
"learning_rate": 0.00020999999999999998,
"loss": 0.5338,
"step": 17500
},
{
"epoch": 0.55,
"learning_rate": 0.00021599999999999996,
"loss": 0.5305,
"step": 18000
},
{
"epoch": 0.55,
"eval_loss": 0.8557196259498596,
"eval_runtime": 0.5163,
"eval_samples_per_second": 1936.818,
"eval_steps_per_second": 30.989,
"step": 18000
},
{
"epoch": 0.57,
"learning_rate": 0.00022199999999999998,
"loss": 0.5273,
"step": 18500
},
{
"epoch": 0.58,
"learning_rate": 0.00022799999999999999,
"loss": 0.5243,
"step": 19000
},
{
"epoch": 0.58,
"eval_loss": 0.8606428503990173,
"eval_runtime": 0.5087,
"eval_samples_per_second": 1965.911,
"eval_steps_per_second": 31.455,
"step": 19000
},
{
"epoch": 0.6,
"learning_rate": 0.000234,
"loss": 0.5215,
"step": 19500
},
{
"epoch": 0.61,
"learning_rate": 0.00023999999999999998,
"loss": 0.5188,
"step": 20000
},
{
"epoch": 0.61,
"eval_loss": 0.8626545071601868,
"eval_runtime": 0.4996,
"eval_samples_per_second": 2001.549,
"eval_steps_per_second": 32.025,
"step": 20000
},
{
"epoch": 0.63,
"learning_rate": 0.00024599999999999996,
"loss": 0.516,
"step": 20500
},
{
"epoch": 0.64,
"learning_rate": 0.00025199999999999995,
"loss": 0.5136,
"step": 21000
},
{
"epoch": 0.64,
"eval_loss": 0.8466567993164062,
"eval_runtime": 0.521,
"eval_samples_per_second": 1919.499,
"eval_steps_per_second": 30.712,
"step": 21000
},
{
"epoch": 0.66,
"learning_rate": 0.000258,
"loss": 0.5112,
"step": 21500
},
{
"epoch": 0.67,
"learning_rate": 0.00026399999999999997,
"loss": 0.5089,
"step": 22000
},
{
"epoch": 0.67,
"eval_loss": 0.8465701937675476,
"eval_runtime": 0.5015,
"eval_samples_per_second": 1994.167,
"eval_steps_per_second": 31.907,
"step": 22000
},
{
"epoch": 0.69,
"learning_rate": 0.00027,
"loss": 0.5067,
"step": 22500
},
{
"epoch": 0.7,
"learning_rate": 0.000276,
"loss": 0.5048,
"step": 23000
},
{
"epoch": 0.7,
"eval_loss": 0.8367106914520264,
"eval_runtime": 0.5157,
"eval_samples_per_second": 1939.06,
"eval_steps_per_second": 31.025,
"step": 23000
},
{
"epoch": 0.72,
"learning_rate": 0.00028199999999999997,
"loss": 0.5029,
"step": 23500
},
{
"epoch": 0.74,
"learning_rate": 0.00028799999999999995,
"loss": 0.5009,
"step": 24000
},
{
"epoch": 0.74,
"eval_loss": 0.8282895088195801,
"eval_runtime": 0.5191,
"eval_samples_per_second": 1926.314,
"eval_steps_per_second": 30.821,
"step": 24000
},
{
"epoch": 0.75,
"learning_rate": 0.000294,
"loss": 0.4986,
"step": 24500
},
{
"epoch": 0.77,
"learning_rate": 0.0003,
"loss": 0.4968,
"step": 25000
},
{
"epoch": 0.77,
"eval_loss": 0.8393005132675171,
"eval_runtime": 0.5106,
"eval_samples_per_second": 1958.371,
"eval_steps_per_second": 31.334,
"step": 25000
},
{
"epoch": 0.78,
"learning_rate": 0.00029999920715161553,
"loss": 0.495,
"step": 25500
},
{
"epoch": 0.8,
"learning_rate": 0.0002999968286151326,
"loss": 0.4932,
"step": 26000
},
{
"epoch": 0.8,
"eval_loss": 0.8276752829551697,
"eval_runtime": 0.5157,
"eval_samples_per_second": 1939.179,
"eval_steps_per_second": 31.027,
"step": 26000
},
{
"epoch": 0.81,
"learning_rate": 0.0002999928644165624,
"loss": 0.4916,
"step": 26500
},
{
"epoch": 0.83,
"learning_rate": 0.0002999873145992569,
"loss": 0.4899,
"step": 27000
},
{
"epoch": 0.83,
"eval_loss": 0.8151644468307495,
"eval_runtime": 0.5093,
"eval_samples_per_second": 1963.529,
"eval_steps_per_second": 31.416,
"step": 27000
},
{
"epoch": 0.84,
"learning_rate": 0.000299980179223908,
"loss": 0.4883,
"step": 27500
},
{
"epoch": 0.86,
"learning_rate": 0.0002999714583685469,
"loss": 0.4868,
"step": 28000
},
{
"epoch": 0.86,
"eval_loss": 0.8103233575820923,
"eval_runtime": 0.5126,
"eval_samples_per_second": 1950.786,
"eval_steps_per_second": 31.213,
"step": 28000
},
{
"epoch": 0.87,
"learning_rate": 0.00029996115212854366,
"loss": 0.4855,
"step": 28500
},
{
"epoch": 0.89,
"learning_rate": 0.00029994926061660554,
"loss": 0.4841,
"step": 29000
},
{
"epoch": 0.89,
"eval_loss": 0.8084909319877625,
"eval_runtime": 0.5298,
"eval_samples_per_second": 1887.571,
"eval_steps_per_second": 30.201,
"step": 29000
},
{
"epoch": 0.9,
"learning_rate": 0.0002999357839627762,
"loss": 0.4823,
"step": 29500
},
{
"epoch": 0.92,
"learning_rate": 0.00029992072231443425,
"loss": 0.4806,
"step": 30000
},
{
"epoch": 0.92,
"eval_loss": 0.8131279945373535,
"eval_runtime": 0.5066,
"eval_samples_per_second": 1974.102,
"eval_steps_per_second": 31.586,
"step": 30000
},
{
"epoch": 0.93,
"learning_rate": 0.0002999040758362914,
"loss": 0.4791,
"step": 30500
},
{
"epoch": 0.95,
"learning_rate": 0.00029988584471039094,
"loss": 0.4776,
"step": 31000
},
{
"epoch": 0.95,
"eval_loss": 0.8034030795097351,
"eval_runtime": 0.4996,
"eval_samples_per_second": 2001.487,
"eval_steps_per_second": 32.024,
"step": 31000
},
{
"epoch": 0.97,
"learning_rate": 0.0002998660291361054,
"loss": 0.476,
"step": 31500
},
{
"epoch": 0.98,
"learning_rate": 0.0002998446293301349,
"loss": 0.4741,
"step": 32000
},
{
"epoch": 0.98,
"eval_loss": 0.8003847599029541,
"eval_runtime": 0.5033,
"eval_samples_per_second": 1986.864,
"eval_steps_per_second": 31.79,
"step": 32000
},
{
"epoch": 1.0,
"learning_rate": 0.0002998216455265042,
"loss": 0.4724,
"step": 32500
},
{
"epoch": 1.01,
"learning_rate": 0.00029979707797656046,
"loss": 0.4709,
"step": 33000
},
{
"epoch": 1.01,
"eval_loss": 0.7997156977653503,
"eval_runtime": 0.5174,
"eval_samples_per_second": 1932.776,
"eval_steps_per_second": 30.924,
"step": 33000
},
{
"epoch": 1.03,
"learning_rate": 0.00029977092694897053,
"loss": 0.4691,
"step": 33500
},
{
"epoch": 1.04,
"learning_rate": 0.0002997431927297178,
"loss": 0.467,
"step": 34000
},
{
"epoch": 1.04,
"eval_loss": 0.803820013999939,
"eval_runtime": 0.5367,
"eval_samples_per_second": 1863.102,
"eval_steps_per_second": 29.81,
"step": 34000
},
{
"epoch": 1.06,
"learning_rate": 0.00029971387562209936,
"loss": 0.4653,
"step": 34500
},
{
"epoch": 1.07,
"learning_rate": 0.00029968297594672226,
"loss": 0.4638,
"step": 35000
},
{
"epoch": 1.07,
"eval_loss": 0.8011023998260498,
"eval_runtime": 0.5429,
"eval_samples_per_second": 1842.037,
"eval_steps_per_second": 29.473,
"step": 35000
},
{
"epoch": 1.09,
"learning_rate": 0.0002996504940415005,
"loss": 0.462,
"step": 35500
},
{
"epoch": 1.1,
"learning_rate": 0.00029961643026165096,
"loss": 0.4601,
"step": 36000
},
{
"epoch": 1.1,
"eval_loss": 0.8029471635818481,
"eval_runtime": 0.5067,
"eval_samples_per_second": 1973.42,
"eval_steps_per_second": 31.575,
"step": 36000
},
{
"epoch": 1.12,
"learning_rate": 0.00029958078497968973,
"loss": 0.4587,
"step": 36500
},
{
"epoch": 1.13,
"learning_rate": 0.0002995435585854278,
"loss": 0.457,
"step": 37000
},
{
"epoch": 1.13,
"eval_loss": 0.7997317910194397,
"eval_runtime": 0.5216,
"eval_samples_per_second": 1917.135,
"eval_steps_per_second": 30.674,
"step": 37000
},
{
"epoch": 1.15,
"learning_rate": 0.0002995047514859671,
"loss": 0.4556,
"step": 37500
},
{
"epoch": 1.16,
"learning_rate": 0.0002994643641056959,
"loss": 0.4541,
"step": 38000
},
{
"epoch": 1.16,
"eval_loss": 0.8004159927368164,
"eval_runtime": 0.5088,
"eval_samples_per_second": 1965.38,
"eval_steps_per_second": 31.446,
"step": 38000
},
{
"epoch": 1.18,
"learning_rate": 0.000299422396886284,
"loss": 0.4524,
"step": 38500
},
{
"epoch": 1.19,
"learning_rate": 0.0002993788502866783,
"loss": 0.4514,
"step": 39000
},
{
"epoch": 1.19,
"eval_loss": 0.797309160232544,
"eval_runtime": 0.5211,
"eval_samples_per_second": 1918.834,
"eval_steps_per_second": 30.701,
"step": 39000
},
{
"epoch": 1.21,
"learning_rate": 0.00029933372478309746,
"loss": 0.45,
"step": 39500
},
{
"epoch": 1.23,
"learning_rate": 0.00029928702086902664,
"loss": 0.4485,
"step": 40000
},
{
"epoch": 1.23,
"eval_loss": 0.7876560688018799,
"eval_runtime": 0.5381,
"eval_samples_per_second": 1858.547,
"eval_steps_per_second": 29.737,
"step": 40000
},
{
"epoch": 1.24,
"learning_rate": 0.00029923873905521244,
"loss": 0.4471,
"step": 40500
},
{
"epoch": 1.26,
"learning_rate": 0.000299188879869657,
"loss": 0.446,
"step": 41000
},
{
"epoch": 1.26,
"eval_loss": 0.7949715852737427,
"eval_runtime": 0.5157,
"eval_samples_per_second": 1939.022,
"eval_steps_per_second": 31.024,
"step": 41000
},
{
"epoch": 1.27,
"learning_rate": 0.00029913744385761244,
"loss": 0.4446,
"step": 41500
},
{
"epoch": 1.29,
"learning_rate": 0.00029908443158157465,
"loss": 0.4437,
"step": 42000
},
{
"epoch": 1.29,
"eval_loss": 0.7941656112670898,
"eval_runtime": 0.5261,
"eval_samples_per_second": 1900.807,
"eval_steps_per_second": 30.413,
"step": 42000
},
{
"epoch": 1.3,
"learning_rate": 0.0002990298436212775,
"loss": 0.4422,
"step": 42500
},
{
"epoch": 1.32,
"learning_rate": 0.0002989736805736861,
"loss": 0.4413,
"step": 43000
},
{
"epoch": 1.32,
"eval_loss": 0.7861095666885376,
"eval_runtime": 0.5221,
"eval_samples_per_second": 1915.408,
"eval_steps_per_second": 30.647,
"step": 43000
},
{
"epoch": 1.33,
"learning_rate": 0.00029891594305299065,
"loss": 0.44,
"step": 43500
},
{
"epoch": 1.35,
"learning_rate": 0.00029885663169059926,
"loss": 0.4391,
"step": 44000
},
{
"epoch": 1.35,
"eval_loss": 0.7935870289802551,
"eval_runtime": 0.5329,
"eval_samples_per_second": 1876.586,
"eval_steps_per_second": 30.025,
"step": 44000
},
{
"epoch": 1.36,
"learning_rate": 0.0002987957471351316,
"loss": 0.4378,
"step": 44500
},
{
"epoch": 1.38,
"learning_rate": 0.00029873329005241137,
"loss": 0.4366,
"step": 45000
},
{
"epoch": 1.38,
"eval_loss": 0.7878534197807312,
"eval_runtime": 0.5149,
"eval_samples_per_second": 1941.994,
"eval_steps_per_second": 31.072,
"step": 45000
},
{
"epoch": 1.39,
"learning_rate": 0.00029866926112545925,
"loss": 0.4355,
"step": 45500
},
{
"epoch": 1.41,
"learning_rate": 0.00029860366105448534,
"loss": 0.4342,
"step": 46000
},
{
"epoch": 1.41,
"eval_loss": 0.7861126661300659,
"eval_runtime": 0.5143,
"eval_samples_per_second": 1944.264,
"eval_steps_per_second": 31.108,
"step": 46000
},
{
"epoch": 1.42,
"learning_rate": 0.00029853649055688143,
"loss": 0.4333,
"step": 46500
},
{
"epoch": 1.44,
"learning_rate": 0.00029846775036721337,
"loss": 0.432,
"step": 47000
},
{
"epoch": 1.44,
"eval_loss": 0.7865832448005676,
"eval_runtime": 0.5183,
"eval_samples_per_second": 1929.412,
"eval_steps_per_second": 30.871,
"step": 47000
},
{
"epoch": 1.46,
"learning_rate": 0.0002983974412372129,
"loss": 0.4308,
"step": 47500
},
{
"epoch": 1.47,
"learning_rate": 0.00029832556393576934,
"loss": 0.4297,
"step": 48000
},
{
"epoch": 1.47,
"eval_loss": 0.777747392654419,
"eval_runtime": 0.527,
"eval_samples_per_second": 1897.653,
"eval_steps_per_second": 30.362,
"step": 48000
},
{
"epoch": 1.49,
"learning_rate": 0.0002982521192489214,
"loss": 0.4288,
"step": 48500
},
{
"epoch": 1.5,
"learning_rate": 0.0002981771079798483,
"loss": 0.4278,
"step": 49000
},
{
"epoch": 1.5,
"eval_loss": 0.7763716578483582,
"eval_runtime": 0.5211,
"eval_samples_per_second": 1919.193,
"eval_steps_per_second": 30.707,
"step": 49000
},
{
"epoch": 1.52,
"learning_rate": 0.00029810053094886136,
"loss": 0.4269,
"step": 49500
},
{
"epoch": 1.53,
"learning_rate": 0.00029802238899339473,
"loss": 0.4258,
"step": 50000
},
{
"epoch": 1.53,
"eval_loss": 0.7902368307113647,
"eval_runtime": 0.5206,
"eval_samples_per_second": 1920.725,
"eval_steps_per_second": 30.732,
"step": 50000
},
{
"epoch": 1.55,
"learning_rate": 0.0002979426829679962,
"loss": 0.4247,
"step": 50500
},
{
"epoch": 1.56,
"learning_rate": 0.0002978614137443183,
"loss": 0.424,
"step": 51000
},
{
"epoch": 1.56,
"eval_loss": 0.7871042490005493,
"eval_runtime": 0.5261,
"eval_samples_per_second": 1900.754,
"eval_steps_per_second": 30.412,
"step": 51000
},
{
"epoch": 1.58,
"learning_rate": 0.000297778582211108,
"loss": 0.4232,
"step": 51500
},
{
"epoch": 1.59,
"learning_rate": 0.00029769418927419786,
"loss": 0.422,
"step": 52000
},
{
"epoch": 1.59,
"eval_loss": 0.7916954159736633,
"eval_runtime": 0.5311,
"eval_samples_per_second": 1882.884,
"eval_steps_per_second": 30.126,
"step": 52000
},
{
"epoch": 1.61,
"learning_rate": 0.0002976082358564954,
"loss": 0.4211,
"step": 52500
},
{
"epoch": 1.62,
"learning_rate": 0.00029752072289797353,
"loss": 0.4202,
"step": 53000
},
{
"epoch": 1.62,
"eval_loss": 0.7859019637107849,
"eval_runtime": 0.5358,
"eval_samples_per_second": 1866.426,
"eval_steps_per_second": 29.863,
"step": 53000
},
{
"epoch": 1.64,
"learning_rate": 0.00029743165135565986,
"loss": 0.4194,
"step": 53500
},
{
"epoch": 1.65,
"learning_rate": 0.00029734102220362654,
"loss": 0.4184,
"step": 54000
},
{
"epoch": 1.65,
"eval_loss": 0.7869405150413513,
"eval_runtime": 0.5363,
"eval_samples_per_second": 1864.609,
"eval_steps_per_second": 29.834,
"step": 54000
},
{
"epoch": 1.67,
"learning_rate": 0.00029724883643297937,
"loss": 0.4177,
"step": 54500
},
{
"epoch": 1.69,
"learning_rate": 0.0002971550950518473,
"loss": 0.4165,
"step": 55000
},
{
"epoch": 1.69,
"eval_loss": 0.7873055338859558,
"eval_runtime": 0.5249,
"eval_samples_per_second": 1905.112,
"eval_steps_per_second": 30.482,
"step": 55000
},
{
"epoch": 1.7,
"learning_rate": 0.000297059799085371,
"loss": 0.4156,
"step": 55500
},
{
"epoch": 1.72,
"learning_rate": 0.00029696294957569196,
"loss": 0.4149,
"step": 56000
},
{
"epoch": 1.72,
"eval_loss": 0.7851352095603943,
"eval_runtime": 0.5685,
"eval_samples_per_second": 1758.943,
"eval_steps_per_second": 28.143,
"step": 56000
},
{
"epoch": 1.73,
"learning_rate": 0.00029686454758194076,
"loss": 0.4141,
"step": 56500
},
{
"epoch": 1.75,
"learning_rate": 0.00029676459418022594,
"loss": 0.4136,
"step": 57000
},
{
"epoch": 1.75,
"eval_loss": 0.7847647666931152,
"eval_runtime": 0.5348,
"eval_samples_per_second": 1869.958,
"eval_steps_per_second": 29.919,
"step": 57000
},
{
"epoch": 1.76,
"learning_rate": 0.0002966630904636219,
"loss": 0.4126,
"step": 57500
},
{
"epoch": 1.78,
"learning_rate": 0.0002965600375421569,
"loss": 0.4119,
"step": 58000
},
{
"epoch": 1.78,
"eval_loss": 0.7846025228500366,
"eval_runtime": 0.5441,
"eval_samples_per_second": 1837.795,
"eval_steps_per_second": 29.405,
"step": 58000
},
{
"epoch": 1.79,
"learning_rate": 0.0002964554365428013,
"loss": 0.4107,
"step": 58500
},
{
"epoch": 1.81,
"learning_rate": 0.00029634928860945486,
"loss": 0.4103,
"step": 59000
},
{
"epoch": 1.81,
"eval_loss": 0.7957924604415894,
"eval_runtime": 0.5171,
"eval_samples_per_second": 1934.049,
"eval_steps_per_second": 30.945,
"step": 59000
},
{
"epoch": 1.82,
"learning_rate": 0.0002962415949029343,
"loss": 0.4099,
"step": 59500
},
{
"epoch": 1.84,
"learning_rate": 0.00029613235660096084,
"loss": 0.409,
"step": 60000
},
{
"epoch": 1.84,
"eval_loss": 0.7877106070518494,
"eval_runtime": 0.5384,
"eval_samples_per_second": 1857.26,
"eval_steps_per_second": 29.716,
"step": 60000
}
],
"max_steps": 500000,
"num_train_epochs": 16,
"total_flos": 1.916914844695024e+21,
"trial_name": null,
"trial_params": null
}