Ko's picture
first commit
4b2e733
{
"best_metric": 41.2618,
"best_model_checkpoint": "checkpoint/kobigbirdbart_tapt_ep3_bs16_pre_noam_LB/checkpoint-34340",
"epoch": 2.9999708802888674,
"global_step": 51510,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.06,
"learning_rate": 0.0001,
"loss": 4.0417,
"step": 1000
},
{
"epoch": 0.12,
"learning_rate": 7.072834474681765e-05,
"loss": 3.6688,
"step": 2000
},
{
"epoch": 0.17,
"learning_rate": 5.775426231077362e-05,
"loss": 3.5243,
"step": 3000
},
{
"epoch": 0.23,
"learning_rate": 5.001874180112048e-05,
"loss": 3.4178,
"step": 4000
},
{
"epoch": 0.29,
"learning_rate": 4.473924094197383e-05,
"loss": 3.367,
"step": 5000
},
{
"epoch": 0.35,
"learning_rate": 4.084183301607125e-05,
"loss": 3.3013,
"step": 6000
},
{
"epoch": 0.41,
"learning_rate": 3.7812639995975144e-05,
"loss": 3.2593,
"step": 7000
},
{
"epoch": 0.47,
"learning_rate": 3.537080170562066e-05,
"loss": 3.212,
"step": 8000
},
{
"epoch": 0.52,
"learning_rate": 3.3348143212252787e-05,
"loss": 3.1631,
"step": 9000
},
{
"epoch": 0.58,
"learning_rate": 3.16370022285456e-05,
"loss": 3.1368,
"step": 10000
},
{
"epoch": 0.64,
"learning_rate": 3.0164835160286395e-05,
"loss": 3.106,
"step": 11000
},
{
"epoch": 0.7,
"learning_rate": 2.8880740270466042e-05,
"loss": 3.0851,
"step": 12000
},
{
"epoch": 0.76,
"learning_rate": 2.774780664821333e-05,
"loss": 3.0639,
"step": 13000
},
{
"epoch": 0.82,
"learning_rate": 2.6738528983830193e-05,
"loss": 3.0412,
"step": 14000
},
{
"epoch": 0.87,
"learning_rate": 2.583193464319257e-05,
"loss": 3.0153,
"step": 15000
},
{
"epoch": 0.93,
"learning_rate": 2.5011715272671623e-05,
"loss": 2.9905,
"step": 16000
},
{
"epoch": 0.99,
"learning_rate": 2.426497258953522e-05,
"loss": 2.9887,
"step": 17000
},
{
"epoch": 1.0,
"eval_gen_len": 20.0,
"eval_loss": 3.2666966915130615,
"eval_rouge1": 43.6697,
"eval_rouge2": 28.3814,
"eval_rougeL": 40.2632,
"eval_rougeLsum": 40.2565,
"eval_runtime": 2924.633,
"eval_samples_per_second": 31.314,
"eval_steps_per_second": 1.957,
"step": 17170
},
{
"epoch": 1.05,
"learning_rate": 2.3581353179274502e-05,
"loss": 2.7893,
"step": 18000
},
{
"epoch": 1.11,
"learning_rate": 2.2952437303925296e-05,
"loss": 2.724,
"step": 19000
},
{
"epoch": 1.16,
"learning_rate": 2.2371298045736806e-05,
"loss": 2.722,
"step": 20000
},
{
"epoch": 1.22,
"learning_rate": 2.183217738419129e-05,
"loss": 2.7157,
"step": 21000
},
{
"epoch": 1.28,
"learning_rate": 2.1330244234932196e-05,
"loss": 2.7097,
"step": 22000
},
{
"epoch": 1.34,
"learning_rate": 2.0861411017276734e-05,
"loss": 2.6939,
"step": 23000
},
{
"epoch": 1.4,
"learning_rate": 2.0422192722261335e-05,
"loss": 2.7026,
"step": 24000
},
{
"epoch": 1.46,
"learning_rate": 2.0009597313304793e-05,
"loss": 2.6871,
"step": 25000
},
{
"epoch": 1.51,
"learning_rate": 1.9621039546293084e-05,
"loss": 2.6776,
"step": 26000
},
{
"epoch": 1.57,
"learning_rate": 1.925427251574924e-05,
"loss": 2.6799,
"step": 27000
},
{
"epoch": 1.63,
"learning_rate": 1.8907332773261164e-05,
"loss": 2.6613,
"step": 28000
},
{
"epoch": 1.69,
"learning_rate": 1.8578495948447844e-05,
"loss": 2.6756,
"step": 29000
},
{
"epoch": 1.75,
"learning_rate": 1.8266240576954328e-05,
"loss": 2.6459,
"step": 30000
},
{
"epoch": 1.81,
"learning_rate": 1.796921840006843e-05,
"loss": 2.6352,
"step": 31000
},
{
"epoch": 1.86,
"learning_rate": 1.768622981064213e-05,
"loss": 2.6379,
"step": 32000
},
{
"epoch": 1.92,
"learning_rate": 1.7416203423613194e-05,
"loss": 2.6138,
"step": 33000
},
{
"epoch": 1.98,
"learning_rate": 1.7158178976540783e-05,
"loss": 2.6193,
"step": 34000
},
{
"epoch": 2.0,
"eval_gen_len": 20.0,
"eval_loss": 3.2624921798706055,
"eval_rouge1": 44.7484,
"eval_rouge2": 29.1819,
"eval_rougeL": 41.2553,
"eval_rougeLsum": 41.2618,
"eval_runtime": 2925.4113,
"eval_samples_per_second": 31.306,
"eval_steps_per_second": 1.957,
"step": 34340
},
{
"epoch": 2.04,
"learning_rate": 1.6911292937114278e-05,
"loss": 2.5111,
"step": 35000
},
{
"epoch": 2.1,
"learning_rate": 1.6674766325339214e-05,
"loss": 2.4361,
"step": 36000
},
{
"epoch": 2.15,
"learning_rate": 1.644789435859962e-05,
"loss": 2.4523,
"step": 37000
},
{
"epoch": 2.21,
"learning_rate": 1.6230037605656824e-05,
"loss": 2.4485,
"step": 38000
},
{
"epoch": 2.27,
"learning_rate": 1.6020614396421562e-05,
"loss": 2.443,
"step": 39000
},
{
"epoch": 2.33,
"learning_rate": 1.58190942821137e-05,
"loss": 2.4408,
"step": 40000
},
{
"epoch": 2.39,
"learning_rate": 1.562499237823282e-05,
"loss": 2.4376,
"step": 41000
},
{
"epoch": 2.45,
"learning_rate": 1.5437864452872526e-05,
"loss": 2.4237,
"step": 42000
},
{
"epoch": 2.5,
"learning_rate": 1.5257302647033036e-05,
"loss": 2.4302,
"step": 43000
},
{
"epoch": 2.56,
"learning_rate": 1.508293173302068e-05,
"loss": 2.4272,
"step": 44000
},
{
"epoch": 2.62,
"learning_rate": 1.4914405832764997e-05,
"loss": 2.4191,
"step": 45000
},
{
"epoch": 2.68,
"learning_rate": 1.4751405530700888e-05,
"loss": 2.415,
"step": 46000
},
{
"epoch": 2.74,
"learning_rate": 1.4593635326349197e-05,
"loss": 2.4139,
"step": 47000
},
{
"epoch": 2.8,
"learning_rate": 1.4440821380348212e-05,
"loss": 2.409,
"step": 48000
},
{
"epoch": 2.85,
"learning_rate": 1.4292709514804612e-05,
"loss": 2.4043,
"step": 49000
},
{
"epoch": 2.91,
"learning_rate": 1.4149063434732295e-05,
"loss": 2.3984,
"step": 50000
},
{
"epoch": 2.97,
"learning_rate": 1.4009663142259388e-05,
"loss": 2.4011,
"step": 51000
},
{
"epoch": 3.0,
"eval_gen_len": 20.0,
"eval_loss": 3.302915573120117,
"eval_rouge1": 44.3235,
"eval_rouge2": 28.8361,
"eval_rougeL": 40.7694,
"eval_rougeLsum": 40.7674,
"eval_runtime": 2928.7847,
"eval_samples_per_second": 31.27,
"eval_steps_per_second": 1.954,
"step": 51510
},
{
"epoch": 3.0,
"step": 51510,
"total_flos": 3.55488261007809e+17,
"train_loss": 2.7859744007345357,
"train_runtime": 40305.1206,
"train_samples_per_second": 20.449,
"train_steps_per_second": 1.278
}
],
"max_steps": 51510,
"num_train_epochs": 3,
"total_flos": 3.55488261007809e+17,
"trial_name": null,
"trial_params": null
}