opt-125m-email-generation / trainer_state.json
pszemraj's picture
adding model files
4b27f62
raw
history blame
13.8 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 3.99758337361044,
"global_step": 516,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.04,
"learning_rate": 0.0003999073369028083,
"loss": 4.4497,
"step": 5
},
{
"epoch": 0.08,
"learning_rate": 0.00039962943347572903,
"loss": 3.7433,
"step": 10
},
{
"epoch": 0.12,
"learning_rate": 0.00039916654723268495,
"loss": 3.4124,
"step": 15
},
{
"epoch": 0.15,
"learning_rate": 0.0003985191070984053,
"loss": 3.3596,
"step": 20
},
{
"epoch": 0.19,
"learning_rate": 0.000397687713010971,
"loss": 3.2361,
"step": 25
},
{
"epoch": 0.23,
"learning_rate": 0.00039667313536589325,
"loss": 3.2741,
"step": 30
},
{
"epoch": 0.27,
"learning_rate": 0.0003954763143022415,
"loss": 3.1754,
"step": 35
},
{
"epoch": 0.31,
"learning_rate": 0.00039409835883148103,
"loss": 3.1644,
"step": 40
},
{
"epoch": 0.35,
"learning_rate": 0.00039254054580982917,
"loss": 3.158,
"step": 45
},
{
"epoch": 0.39,
"learning_rate": 0.00039080431875508013,
"loss": 3.1109,
"step": 50
},
{
"epoch": 0.43,
"learning_rate": 0.00038889128650899707,
"loss": 3.1248,
"step": 55
},
{
"epoch": 0.46,
"learning_rate": 0.0003868032217465096,
"loss": 3.01,
"step": 60
},
{
"epoch": 0.5,
"learning_rate": 0.00038454205933309793,
"loss": 3.1002,
"step": 65
},
{
"epoch": 0.54,
"learning_rate": 0.0003821098945318869,
"loss": 3.001,
"step": 70
},
{
"epoch": 0.58,
"learning_rate": 0.0003795089810621101,
"loss": 3.0187,
"step": 75
},
{
"epoch": 0.62,
"learning_rate": 0.00037674172901074385,
"loss": 2.9759,
"step": 80
},
{
"epoch": 0.66,
"learning_rate": 0.0003738107025992461,
"loss": 2.8984,
"step": 85
},
{
"epoch": 0.7,
"learning_rate": 0.0003707186178074693,
"loss": 2.9715,
"step": 90
},
{
"epoch": 0.73,
"learning_rate": 0.0003674683398569492,
"loss": 3.0181,
"step": 95
},
{
"epoch": 0.77,
"learning_rate": 0.0003640628805559022,
"loss": 3.0082,
"step": 100
},
{
"epoch": 0.81,
"learning_rate": 0.00036050539550839015,
"loss": 2.9286,
"step": 105
},
{
"epoch": 0.85,
"learning_rate": 0.0003567991811902403,
"loss": 2.9238,
"step": 110
},
{
"epoch": 0.89,
"learning_rate": 0.0003529476718944283,
"loss": 2.9692,
"step": 115
},
{
"epoch": 0.93,
"learning_rate": 0.0003489544365487564,
"loss": 2.9091,
"step": 120
},
{
"epoch": 0.97,
"learning_rate": 0.000344823175408774,
"loss": 2.8245,
"step": 125
},
{
"epoch": 1.0,
"eval_loss": 2.8029613494873047,
"eval_runtime": 57.7962,
"eval_samples_per_second": 33.013,
"eval_steps_per_second": 4.135,
"step": 129
},
{
"epoch": 1.01,
"learning_rate": 0.00034055771662900637,
"loss": 3.0457,
"step": 130
},
{
"epoch": 1.05,
"learning_rate": 0.00033616201271566845,
"loss": 2.5236,
"step": 135
},
{
"epoch": 1.09,
"learning_rate": 0.0003316401368641496,
"loss": 2.6179,
"step": 140
},
{
"epoch": 1.12,
"learning_rate": 0.0003269962791846651,
"loss": 2.5468,
"step": 145
},
{
"epoch": 1.16,
"learning_rate": 0.00032223474281956987,
"loss": 2.6191,
"step": 150
},
{
"epoch": 1.2,
"learning_rate": 0.0003173599399559337,
"loss": 2.639,
"step": 155
},
{
"epoch": 1.24,
"learning_rate": 0.0003123763877370721,
"loss": 2.6327,
"step": 160
},
{
"epoch": 1.28,
"learning_rate": 0.00030728870407682117,
"loss": 2.6121,
"step": 165
},
{
"epoch": 1.32,
"learning_rate": 0.0003021016033804358,
"loss": 2.465,
"step": 170
},
{
"epoch": 1.36,
"learning_rate": 0.0002968198921760758,
"loss": 2.619,
"step": 175
},
{
"epoch": 1.39,
"learning_rate": 0.0002914484646609277,
"loss": 2.5499,
"step": 180
},
{
"epoch": 1.43,
"learning_rate": 0.0002859922981660906,
"loss": 2.5248,
"step": 185
},
{
"epoch": 1.47,
"learning_rate": 0.0002804564485444265,
"loss": 2.6074,
"step": 190
},
{
"epoch": 1.51,
"learning_rate": 0.00027484604548565065,
"loss": 2.5412,
"step": 195
},
{
"epoch": 1.55,
"learning_rate": 0.0002691662877630023,
"loss": 2.5677,
"step": 200
},
{
"epoch": 1.59,
"learning_rate": 0.0002634224384159003,
"loss": 2.5344,
"step": 205
},
{
"epoch": 1.63,
"learning_rate": 0.00025761981987304755,
"loss": 2.5655,
"step": 210
},
{
"epoch": 1.67,
"learning_rate": 0.00025176380902050413,
"loss": 2.5598,
"step": 215
},
{
"epoch": 1.7,
"learning_rate": 0.00024585983221929805,
"loss": 2.5926,
"step": 220
},
{
"epoch": 1.74,
"learning_rate": 0.00023991336027719059,
"loss": 2.4798,
"step": 225
},
{
"epoch": 1.78,
"learning_rate": 0.00023392990337925694,
"loss": 2.4976,
"step": 230
},
{
"epoch": 1.82,
"learning_rate": 0.000227915005981978,
"loss": 2.5969,
"step": 235
},
{
"epoch": 1.86,
"learning_rate": 0.00022187424167557492,
"loss": 2.5677,
"step": 240
},
{
"epoch": 1.9,
"learning_rate": 0.000215813208019348,
"loss": 2.6221,
"step": 245
},
{
"epoch": 1.94,
"learning_rate": 0.00020973752135480505,
"loss": 2.5241,
"step": 250
},
{
"epoch": 1.97,
"learning_rate": 0.000203652811601385,
"loss": 2.521,
"step": 255
},
{
"epoch": 2.0,
"eval_loss": 2.634265899658203,
"eval_runtime": 57.8082,
"eval_samples_per_second": 33.006,
"eval_steps_per_second": 4.134,
"step": 258
},
{
"epoch": 2.02,
"learning_rate": 0.0001975647170396005,
"loss": 2.5802,
"step": 260
},
{
"epoch": 2.05,
"learning_rate": 0.00019147887908643253,
"loss": 2.2447,
"step": 265
},
{
"epoch": 2.09,
"learning_rate": 0.0001854009370678185,
"loss": 2.2409,
"step": 270
},
{
"epoch": 2.13,
"learning_rate": 0.00017933652299307847,
"loss": 2.2383,
"step": 275
},
{
"epoch": 2.17,
"learning_rate": 0.00017329125633612044,
"loss": 2.2028,
"step": 280
},
{
"epoch": 2.21,
"learning_rate": 0.00016727073882826242,
"loss": 2.1655,
"step": 285
},
{
"epoch": 2.25,
"learning_rate": 0.00016128054926749404,
"loss": 2.2198,
"step": 290
},
{
"epoch": 2.29,
"learning_rate": 0.00015532623834899002,
"loss": 2.2186,
"step": 295
},
{
"epoch": 2.32,
"learning_rate": 0.00014941332352166385,
"loss": 2.2225,
"step": 300
},
{
"epoch": 2.36,
"learning_rate": 0.00014354728387552882,
"loss": 2.2135,
"step": 305
},
{
"epoch": 2.4,
"learning_rate": 0.00013773355506460367,
"loss": 2.1537,
"step": 310
},
{
"epoch": 2.44,
"learning_rate": 0.00013197752427006679,
"loss": 2.2074,
"step": 315
},
{
"epoch": 2.48,
"learning_rate": 0.00012628452520832765,
"loss": 2.1916,
"step": 320
},
{
"epoch": 2.52,
"learning_rate": 0.00012065983318864011,
"loss": 2.2548,
"step": 325
},
{
"epoch": 2.56,
"learning_rate": 0.00011510866022483702,
"loss": 2.2211,
"step": 330
},
{
"epoch": 2.6,
"learning_rate": 0.00010963615020571705,
"loss": 2.1348,
"step": 335
},
{
"epoch": 2.63,
"learning_rate": 0.00010424737412855825,
"loss": 2.2425,
"step": 340
},
{
"epoch": 2.67,
"learning_rate": 9.894732540017415e-05,
"loss": 2.207,
"step": 345
},
{
"epoch": 2.71,
"learning_rate": 9.374091520986936e-05,
"loss": 2.1436,
"step": 350
},
{
"epoch": 2.75,
"learning_rate": 8.863296797857865e-05,
"loss": 2.1318,
"step": 355
},
{
"epoch": 2.79,
"learning_rate": 8.362821688840947e-05,
"loss": 2.193,
"step": 360
},
{
"epoch": 2.83,
"learning_rate": 7.873129949672862e-05,
"loss": 2.1751,
"step": 365
},
{
"epoch": 2.87,
"learning_rate": 7.394675343885826e-05,
"loss": 2.2015,
"step": 370
},
{
"epoch": 2.9,
"learning_rate": 6.927901222336221e-05,
"loss": 2.1469,
"step": 375
},
{
"epoch": 2.94,
"learning_rate": 6.473240112381944e-05,
"loss": 2.1919,
"step": 380
},
{
"epoch": 2.98,
"learning_rate": 6.0311133170892234e-05,
"loss": 2.2074,
"step": 385
},
{
"epoch": 3.0,
"eval_loss": 2.5594911575317383,
"eval_runtime": 57.8697,
"eval_samples_per_second": 32.971,
"eval_steps_per_second": 4.13,
"step": 387
},
{
"epoch": 3.02,
"learning_rate": 5.601930524840086e-05,
"loss": 2.1884,
"step": 390
},
{
"epoch": 3.06,
"learning_rate": 5.186089429702436e-05,
"loss": 2.0386,
"step": 395
},
{
"epoch": 3.1,
"learning_rate": 4.783975362914439e-05,
"loss": 2.0487,
"step": 400
},
{
"epoch": 3.14,
"learning_rate": 4.395960935824621e-05,
"loss": 1.8492,
"step": 405
},
{
"epoch": 3.18,
"learning_rate": 4.022405694618658e-05,
"loss": 2.0609,
"step": 410
},
{
"epoch": 3.22,
"learning_rate": 3.663655787152791e-05,
"loss": 1.9626,
"step": 415
},
{
"epoch": 3.26,
"learning_rate": 3.320043642202444e-05,
"loss": 1.9572,
"step": 420
},
{
"epoch": 3.29,
"learning_rate": 2.9918876614234493e-05,
"loss": 1.9518,
"step": 425
},
{
"epoch": 3.33,
"learning_rate": 2.679491924311226e-05,
"loss": 2.0956,
"step": 430
},
{
"epoch": 3.37,
"learning_rate": 2.3831459064312743e-05,
"loss": 1.997,
"step": 435
},
{
"epoch": 3.41,
"learning_rate": 2.1031242111821635e-05,
"loss": 1.965,
"step": 440
},
{
"epoch": 3.45,
"learning_rate": 1.8396863153395216e-05,
"loss": 2.0042,
"step": 445
},
{
"epoch": 3.49,
"learning_rate": 1.593076328616814e-05,
"loss": 2.009,
"step": 450
},
{
"epoch": 3.53,
"learning_rate": 1.3635227674657147e-05,
"loss": 1.9708,
"step": 455
},
{
"epoch": 3.56,
"learning_rate": 1.1512383433257112e-05,
"loss": 1.9904,
"step": 460
},
{
"epoch": 3.6,
"learning_rate": 9.564197655190609e-06,
"loss": 1.9272,
"step": 465
},
{
"epoch": 3.64,
"learning_rate": 7.792475589738679e-06,
"loss": 1.9683,
"step": 470
},
{
"epoch": 3.68,
"learning_rate": 6.198858969440747e-06,
"loss": 1.9925,
"step": 475
},
{
"epoch": 3.72,
"learning_rate": 4.784824488814588e-06,
"loss": 1.969,
"step": 480
},
{
"epoch": 3.76,
"learning_rate": 3.5516824360052546e-06,
"loss": 1.9914,
"step": 485
},
{
"epoch": 3.8,
"learning_rate": 2.500575478631717e-06,
"loss": 1.867,
"step": 490
},
{
"epoch": 3.84,
"learning_rate": 1.6324776049554401e-06,
"loss": 2.0106,
"step": 495
},
{
"epoch": 3.87,
"learning_rate": 9.481932213528443e-07,
"loss": 1.9669,
"step": 500
},
{
"epoch": 3.91,
"learning_rate": 4.483564069273527e-07,
"loss": 1.9383,
"step": 505
},
{
"epoch": 3.95,
"learning_rate": 1.334303259521219e-07,
"loss": 1.9087,
"step": 510
},
{
"epoch": 3.99,
"learning_rate": 3.7067986876637704e-09,
"loss": 2.0145,
"step": 515
},
{
"epoch": 4.0,
"eval_loss": 2.555163860321045,
"eval_runtime": 57.8174,
"eval_samples_per_second": 33.0,
"eval_steps_per_second": 4.134,
"step": 516
},
{
"epoch": 4.0,
"step": 516,
"total_flos": 3.457207135056691e+16,
"train_loss": 2.476019163464391,
"train_runtime": 8176.7734,
"train_samples_per_second": 8.095,
"train_steps_per_second": 0.063
}
],
"max_steps": 516,
"num_train_epochs": 4,
"total_flos": 3.457207135056691e+16,
"trial_name": null,
"trial_params": null
}