t5-wmt16-ro-en / trainer_state.json
wonjeongho's picture
Upload 12 files
1eff85d verified
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 5.0,
"global_step": 63575,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.04,
"learning_rate": 4.9606763664962646e-05,
"loss": 0.6201,
"step": 500
},
{
"epoch": 0.08,
"learning_rate": 4.921352732992528e-05,
"loss": 0.6142,
"step": 1000
},
{
"epoch": 0.12,
"learning_rate": 4.882029099488793e-05,
"loss": 0.6107,
"step": 1500
},
{
"epoch": 0.16,
"learning_rate": 4.8427054659850575e-05,
"loss": 0.6097,
"step": 2000
},
{
"epoch": 0.2,
"learning_rate": 4.803381832481321e-05,
"loss": 0.6088,
"step": 2500
},
{
"epoch": 0.24,
"learning_rate": 4.7640581989775855e-05,
"loss": 0.6155,
"step": 3000
},
{
"epoch": 0.28,
"learning_rate": 4.72473456547385e-05,
"loss": 0.6084,
"step": 3500
},
{
"epoch": 0.31,
"learning_rate": 4.685410931970115e-05,
"loss": 0.6064,
"step": 4000
},
{
"epoch": 0.35,
"learning_rate": 4.6460872984663785e-05,
"loss": 0.6085,
"step": 4500
},
{
"epoch": 0.39,
"learning_rate": 4.606763664962643e-05,
"loss": 0.6056,
"step": 5000
},
{
"epoch": 0.43,
"learning_rate": 4.567440031458907e-05,
"loss": 0.6066,
"step": 5500
},
{
"epoch": 0.47,
"learning_rate": 4.528116397955171e-05,
"loss": 0.6065,
"step": 6000
},
{
"epoch": 0.51,
"learning_rate": 4.488792764451436e-05,
"loss": 0.6031,
"step": 6500
},
{
"epoch": 0.55,
"learning_rate": 4.4494691309477e-05,
"loss": 0.6049,
"step": 7000
},
{
"epoch": 0.59,
"learning_rate": 4.410145497443964e-05,
"loss": 0.6031,
"step": 7500
},
{
"epoch": 0.63,
"learning_rate": 4.370821863940228e-05,
"loss": 0.6059,
"step": 8000
},
{
"epoch": 0.67,
"learning_rate": 4.3314982304364923e-05,
"loss": 0.6005,
"step": 8500
},
{
"epoch": 0.71,
"learning_rate": 4.2921745969327573e-05,
"loss": 0.6018,
"step": 9000
},
{
"epoch": 0.75,
"learning_rate": 4.252850963429021e-05,
"loss": 0.6012,
"step": 9500
},
{
"epoch": 0.79,
"learning_rate": 4.213527329925285e-05,
"loss": 0.6037,
"step": 10000
},
{
"epoch": 0.83,
"learning_rate": 4.1742036964215496e-05,
"loss": 0.6056,
"step": 10500
},
{
"epoch": 0.87,
"learning_rate": 4.134880062917813e-05,
"loss": 0.6002,
"step": 11000
},
{
"epoch": 0.9,
"learning_rate": 4.095556429414078e-05,
"loss": 0.5984,
"step": 11500
},
{
"epoch": 0.94,
"learning_rate": 4.0562327959103426e-05,
"loss": 0.6002,
"step": 12000
},
{
"epoch": 0.98,
"learning_rate": 4.016909162406606e-05,
"loss": 0.5967,
"step": 12500
},
{
"epoch": 1.0,
"eval_bleu": 26.593,
"eval_bleu_random_subnet": 26.593,
"eval_bleu_smallest_subnet": 26.593,
"eval_bleu_sum": 79.779,
"eval_gen_len": 42.4422,
"eval_gen_len_random_subnet": 42.4422,
"eval_gen_len_smallest_subnet": 42.4422,
"eval_gen_len_sum": 127.3266,
"eval_loss": 1.382042407989502,
"eval_loss_random_subnet": 1.382042407989502,
"eval_loss_smallest_subnet": 1.382042407989502,
"eval_loss_sum": 4.146127223968506,
"eval_runtime": 58.2627,
"eval_samples_per_second": 34.31,
"eval_steps_per_second": 0.36,
"step": 12715
},
{
"epoch": 1.02,
"learning_rate": 3.9775855289028706e-05,
"loss": 0.5909,
"step": 13000
},
{
"epoch": 1.06,
"learning_rate": 3.938261895399135e-05,
"loss": 0.5852,
"step": 13500
},
{
"epoch": 1.1,
"learning_rate": 3.8989382618954e-05,
"loss": 0.5861,
"step": 14000
},
{
"epoch": 1.14,
"learning_rate": 3.8596146283916635e-05,
"loss": 0.5852,
"step": 14500
},
{
"epoch": 1.18,
"learning_rate": 3.820290994887928e-05,
"loss": 0.5876,
"step": 15000
},
{
"epoch": 1.22,
"learning_rate": 3.780967361384192e-05,
"loss": 0.5827,
"step": 15500
},
{
"epoch": 1.26,
"learning_rate": 3.741643727880456e-05,
"loss": 0.5915,
"step": 16000
},
{
"epoch": 1.3,
"learning_rate": 3.702320094376721e-05,
"loss": 0.5852,
"step": 16500
},
{
"epoch": 1.34,
"learning_rate": 3.662996460872985e-05,
"loss": 0.5837,
"step": 17000
},
{
"epoch": 1.38,
"learning_rate": 3.623672827369249e-05,
"loss": 0.583,
"step": 17500
},
{
"epoch": 1.42,
"learning_rate": 3.584349193865513e-05,
"loss": 0.582,
"step": 18000
},
{
"epoch": 1.45,
"learning_rate": 3.5450255603617774e-05,
"loss": 0.5879,
"step": 18500
},
{
"epoch": 1.49,
"learning_rate": 3.5057019268580424e-05,
"loss": 0.5873,
"step": 19000
},
{
"epoch": 1.53,
"learning_rate": 3.466378293354306e-05,
"loss": 0.578,
"step": 19500
},
{
"epoch": 1.57,
"learning_rate": 3.4270546598505704e-05,
"loss": 0.5775,
"step": 20000
},
{
"epoch": 1.61,
"learning_rate": 3.387731026346835e-05,
"loss": 0.5812,
"step": 20500
},
{
"epoch": 1.65,
"learning_rate": 3.3484073928430984e-05,
"loss": 0.5805,
"step": 21000
},
{
"epoch": 1.69,
"learning_rate": 3.3090837593393633e-05,
"loss": 0.5819,
"step": 21500
},
{
"epoch": 1.73,
"learning_rate": 3.269760125835628e-05,
"loss": 0.5816,
"step": 22000
},
{
"epoch": 1.77,
"learning_rate": 3.230436492331891e-05,
"loss": 0.5809,
"step": 22500
},
{
"epoch": 1.81,
"learning_rate": 3.1911128588281556e-05,
"loss": 0.5808,
"step": 23000
},
{
"epoch": 1.85,
"learning_rate": 3.15178922532442e-05,
"loss": 0.5785,
"step": 23500
},
{
"epoch": 1.89,
"learning_rate": 3.112465591820685e-05,
"loss": 0.5781,
"step": 24000
},
{
"epoch": 1.93,
"learning_rate": 3.0731419583169486e-05,
"loss": 0.5806,
"step": 24500
},
{
"epoch": 1.97,
"learning_rate": 3.033818324813213e-05,
"loss": 0.5768,
"step": 25000
},
{
"epoch": 2.0,
"eval_bleu": 26.6191,
"eval_bleu_random_subnet": 26.6191,
"eval_bleu_smallest_subnet": 26.6191,
"eval_bleu_sum": 79.8573,
"eval_gen_len": 42.6738,
"eval_gen_len_random_subnet": 42.6738,
"eval_gen_len_smallest_subnet": 42.6738,
"eval_gen_len_sum": 128.0214,
"eval_loss": 1.3727843761444092,
"eval_loss_random_subnet": 1.3727843761444092,
"eval_loss_smallest_subnet": 1.3727843761444092,
"eval_loss_sum": 4.1183531284332275,
"eval_runtime": 58.9438,
"eval_samples_per_second": 33.914,
"eval_steps_per_second": 0.356,
"step": 25430
},
{
"epoch": 2.01,
"learning_rate": 2.9944946913094772e-05,
"loss": 0.5748,
"step": 25500
},
{
"epoch": 2.04,
"learning_rate": 2.9551710578057412e-05,
"loss": 0.5645,
"step": 26000
},
{
"epoch": 2.08,
"learning_rate": 2.9158474243020055e-05,
"loss": 0.5638,
"step": 26500
},
{
"epoch": 2.12,
"learning_rate": 2.8765237907982702e-05,
"loss": 0.5676,
"step": 27000
},
{
"epoch": 2.16,
"learning_rate": 2.837200157294534e-05,
"loss": 0.5698,
"step": 27500
},
{
"epoch": 2.2,
"learning_rate": 2.7978765237907985e-05,
"loss": 0.5667,
"step": 28000
},
{
"epoch": 2.24,
"learning_rate": 2.758552890287063e-05,
"loss": 0.5718,
"step": 28500
},
{
"epoch": 2.28,
"learning_rate": 2.719229256783327e-05,
"loss": 0.5693,
"step": 29000
},
{
"epoch": 2.32,
"learning_rate": 2.679905623279591e-05,
"loss": 0.5664,
"step": 29500
},
{
"epoch": 2.36,
"learning_rate": 2.6405819897758555e-05,
"loss": 0.5652,
"step": 30000
},
{
"epoch": 2.4,
"learning_rate": 2.6012583562721198e-05,
"loss": 0.5721,
"step": 30500
},
{
"epoch": 2.44,
"learning_rate": 2.5619347227683838e-05,
"loss": 0.5676,
"step": 31000
},
{
"epoch": 2.48,
"learning_rate": 2.522611089264648e-05,
"loss": 0.5631,
"step": 31500
},
{
"epoch": 2.52,
"learning_rate": 2.4832874557609124e-05,
"loss": 0.5672,
"step": 32000
},
{
"epoch": 2.56,
"learning_rate": 2.4439638222571767e-05,
"loss": 0.5653,
"step": 32500
},
{
"epoch": 2.6,
"learning_rate": 2.404640188753441e-05,
"loss": 0.5691,
"step": 33000
},
{
"epoch": 2.63,
"learning_rate": 2.3653165552497054e-05,
"loss": 0.5613,
"step": 33500
},
{
"epoch": 2.67,
"learning_rate": 2.3259929217459694e-05,
"loss": 0.5661,
"step": 34000
},
{
"epoch": 2.71,
"learning_rate": 2.2866692882422337e-05,
"loss": 0.568,
"step": 34500
},
{
"epoch": 2.75,
"learning_rate": 2.247345654738498e-05,
"loss": 0.5648,
"step": 35000
},
{
"epoch": 2.79,
"learning_rate": 2.2080220212347623e-05,
"loss": 0.5654,
"step": 35500
},
{
"epoch": 2.83,
"learning_rate": 2.1686983877310266e-05,
"loss": 0.5671,
"step": 36000
},
{
"epoch": 2.87,
"learning_rate": 2.1293747542272906e-05,
"loss": 0.5633,
"step": 36500
},
{
"epoch": 2.91,
"learning_rate": 2.090051120723555e-05,
"loss": 0.5645,
"step": 37000
},
{
"epoch": 2.95,
"learning_rate": 2.0507274872198193e-05,
"loss": 0.5667,
"step": 37500
},
{
"epoch": 2.99,
"learning_rate": 2.0114038537160836e-05,
"loss": 0.5663,
"step": 38000
},
{
"epoch": 3.0,
"eval_bleu": 26.9203,
"eval_bleu_random_subnet": 26.9203,
"eval_bleu_smallest_subnet": 26.9203,
"eval_bleu_sum": 80.7609,
"eval_gen_len": 42.5298,
"eval_gen_len_random_subnet": 42.5298,
"eval_gen_len_smallest_subnet": 42.5298,
"eval_gen_len_sum": 127.58940000000001,
"eval_loss": 1.3616396188735962,
"eval_loss_random_subnet": 1.3616396188735962,
"eval_loss_smallest_subnet": 1.3616396188735962,
"eval_loss_sum": 4.084918856620789,
"eval_runtime": 58.6658,
"eval_samples_per_second": 34.074,
"eval_steps_per_second": 0.358,
"step": 38145
},
{
"epoch": 3.03,
"learning_rate": 1.972080220212348e-05,
"loss": 0.5601,
"step": 38500
},
{
"epoch": 3.07,
"learning_rate": 1.932756586708612e-05,
"loss": 0.5545,
"step": 39000
},
{
"epoch": 3.11,
"learning_rate": 1.8934329532048762e-05,
"loss": 0.5571,
"step": 39500
},
{
"epoch": 3.15,
"learning_rate": 1.8541093197011405e-05,
"loss": 0.5549,
"step": 40000
},
{
"epoch": 3.19,
"learning_rate": 1.814785686197405e-05,
"loss": 0.5516,
"step": 40500
},
{
"epoch": 3.22,
"learning_rate": 1.7754620526936692e-05,
"loss": 0.557,
"step": 41000
},
{
"epoch": 3.26,
"learning_rate": 1.736138419189933e-05,
"loss": 0.5513,
"step": 41500
},
{
"epoch": 3.3,
"learning_rate": 1.6968147856861975e-05,
"loss": 0.5557,
"step": 42000
},
{
"epoch": 3.34,
"learning_rate": 1.6574911521824618e-05,
"loss": 0.5572,
"step": 42500
},
{
"epoch": 3.38,
"learning_rate": 1.618167518678726e-05,
"loss": 0.5528,
"step": 43000
},
{
"epoch": 3.42,
"learning_rate": 1.5788438851749904e-05,
"loss": 0.556,
"step": 43500
},
{
"epoch": 3.46,
"learning_rate": 1.5395202516712544e-05,
"loss": 0.554,
"step": 44000
},
{
"epoch": 3.5,
"learning_rate": 1.5001966181675187e-05,
"loss": 0.5512,
"step": 44500
},
{
"epoch": 3.54,
"learning_rate": 1.460872984663783e-05,
"loss": 0.5515,
"step": 45000
},
{
"epoch": 3.58,
"learning_rate": 1.4215493511600472e-05,
"loss": 0.554,
"step": 45500
},
{
"epoch": 3.62,
"learning_rate": 1.3822257176563117e-05,
"loss": 0.5542,
"step": 46000
},
{
"epoch": 3.66,
"learning_rate": 1.3429020841525759e-05,
"loss": 0.556,
"step": 46500
},
{
"epoch": 3.7,
"learning_rate": 1.30357845064884e-05,
"loss": 0.5532,
"step": 47000
},
{
"epoch": 3.74,
"learning_rate": 1.2642548171451043e-05,
"loss": 0.556,
"step": 47500
},
{
"epoch": 3.78,
"learning_rate": 1.2249311836413685e-05,
"loss": 0.5547,
"step": 48000
},
{
"epoch": 3.81,
"learning_rate": 1.1856075501376328e-05,
"loss": 0.5508,
"step": 48500
},
{
"epoch": 3.85,
"learning_rate": 1.1462839166338971e-05,
"loss": 0.5537,
"step": 49000
},
{
"epoch": 3.89,
"learning_rate": 1.1069602831301613e-05,
"loss": 0.5532,
"step": 49500
},
{
"epoch": 3.93,
"learning_rate": 1.0676366496264254e-05,
"loss": 0.5548,
"step": 50000
},
{
"epoch": 3.97,
"learning_rate": 1.0283130161226898e-05,
"loss": 0.5523,
"step": 50500
},
{
"epoch": 4.0,
"eval_bleu": 27.0195,
"eval_bleu_random_subnet": 27.0195,
"eval_bleu_smallest_subnet": 27.0195,
"eval_bleu_sum": 81.05850000000001,
"eval_gen_len": 42.5203,
"eval_gen_len_random_subnet": 42.5203,
"eval_gen_len_smallest_subnet": 42.5203,
"eval_gen_len_sum": 127.5609,
"eval_loss": 1.3569680452346802,
"eval_loss_random_subnet": 1.3569680452346802,
"eval_loss_smallest_subnet": 1.3569680452346802,
"eval_loss_sum": 4.0709041357040405,
"eval_runtime": 59.137,
"eval_samples_per_second": 33.803,
"eval_steps_per_second": 0.355,
"step": 50860
},
{
"epoch": 4.01,
"learning_rate": 9.88989382618954e-06,
"loss": 0.5513,
"step": 51000
},
{
"epoch": 4.05,
"learning_rate": 9.496657491152184e-06,
"loss": 0.5468,
"step": 51500
},
{
"epoch": 4.09,
"learning_rate": 9.103421156114826e-06,
"loss": 0.5486,
"step": 52000
},
{
"epoch": 4.13,
"learning_rate": 8.710184821077467e-06,
"loss": 0.5521,
"step": 52500
},
{
"epoch": 4.17,
"learning_rate": 8.31694848604011e-06,
"loss": 0.5437,
"step": 53000
},
{
"epoch": 4.21,
"learning_rate": 7.923712151002753e-06,
"loss": 0.5455,
"step": 53500
},
{
"epoch": 4.25,
"learning_rate": 7.530475815965396e-06,
"loss": 0.5475,
"step": 54000
},
{
"epoch": 4.29,
"learning_rate": 7.137239480928037e-06,
"loss": 0.5438,
"step": 54500
},
{
"epoch": 4.33,
"learning_rate": 6.7440031458906806e-06,
"loss": 0.544,
"step": 55000
},
{
"epoch": 4.36,
"learning_rate": 6.350766810853323e-06,
"loss": 0.5418,
"step": 55500
},
{
"epoch": 4.4,
"learning_rate": 5.957530475815966e-06,
"loss": 0.5457,
"step": 56000
},
{
"epoch": 4.44,
"learning_rate": 5.564294140778608e-06,
"loss": 0.5415,
"step": 56500
},
{
"epoch": 4.48,
"learning_rate": 5.171057805741251e-06,
"loss": 0.5415,
"step": 57000
},
{
"epoch": 4.52,
"learning_rate": 4.777821470703893e-06,
"loss": 0.5498,
"step": 57500
},
{
"epoch": 4.56,
"learning_rate": 4.384585135666536e-06,
"loss": 0.5479,
"step": 58000
},
{
"epoch": 4.6,
"learning_rate": 3.991348800629179e-06,
"loss": 0.5449,
"step": 58500
},
{
"epoch": 4.64,
"learning_rate": 3.5981124655918208e-06,
"loss": 0.5474,
"step": 59000
},
{
"epoch": 4.68,
"learning_rate": 3.2048761305544636e-06,
"loss": 0.5456,
"step": 59500
},
{
"epoch": 4.72,
"learning_rate": 2.811639795517106e-06,
"loss": 0.5453,
"step": 60000
},
{
"epoch": 4.76,
"learning_rate": 2.4184034604797483e-06,
"loss": 0.5442,
"step": 60500
},
{
"epoch": 4.8,
"learning_rate": 2.025167125442391e-06,
"loss": 0.5472,
"step": 61000
},
{
"epoch": 4.84,
"learning_rate": 1.6319307904050335e-06,
"loss": 0.5453,
"step": 61500
},
{
"epoch": 4.88,
"learning_rate": 1.238694455367676e-06,
"loss": 0.5404,
"step": 62000
},
{
"epoch": 4.92,
"learning_rate": 8.454581203303186e-07,
"loss": 0.5402,
"step": 62500
},
{
"epoch": 4.95,
"learning_rate": 4.522217852929611e-07,
"loss": 0.5429,
"step": 63000
},
{
"epoch": 4.99,
"learning_rate": 5.898545025560362e-08,
"loss": 0.5436,
"step": 63500
},
{
"epoch": 5.0,
"eval_bleu": 27.1318,
"eval_bleu_random_subnet": 27.1318,
"eval_bleu_smallest_subnet": 27.1318,
"eval_bleu_sum": 81.3954,
"eval_gen_len": 42.5798,
"eval_gen_len_random_subnet": 42.5798,
"eval_gen_len_smallest_subnet": 42.5798,
"eval_gen_len_sum": 127.73939999999999,
"eval_loss": 1.357446312904358,
"eval_loss_random_subnet": 1.357446312904358,
"eval_loss_smallest_subnet": 1.357446312904358,
"eval_loss_sum": 4.072338938713074,
"eval_runtime": 57.2594,
"eval_samples_per_second": 34.911,
"eval_steps_per_second": 0.367,
"step": 63575
},
{
"epoch": 5.0,
"step": 63575,
"total_flos": 5.581813633043661e+16,
"train_loss": 0.5707878178196351,
"train_runtime": 16495.2684,
"train_samples_per_second": 184.999,
"train_steps_per_second": 3.854
}
],
"max_steps": 63575,
"num_train_epochs": 5,
"total_flos": 5.581813633043661e+16,
"trial_name": null,
"trial_params": null
}