diaenra's picture
Training in progress, step 50, checkpoint
0f58fb0 verified
raw
history blame
10.4 kB
{
"best_metric": 1.3278440237045288,
"best_model_checkpoint": "miner_id_24/checkpoint-25",
"epoch": 0.0008455980280653986,
"eval_steps": 25,
"global_step": 50,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.6911960561307972e-05,
"grad_norm": 0.5461403131484985,
"learning_rate": 4e-05,
"loss": 3.0343,
"step": 1
},
{
"epoch": 1.6911960561307972e-05,
"eval_loss": 3.3437588214874268,
"eval_runtime": 1805.366,
"eval_samples_per_second": 13.791,
"eval_steps_per_second": 6.896,
"step": 1
},
{
"epoch": 3.3823921122615945e-05,
"grad_norm": 1.5352400541305542,
"learning_rate": 8e-05,
"loss": 2.567,
"step": 2
},
{
"epoch": 5.073588168392391e-05,
"grad_norm": 1.80024254322052,
"learning_rate": 0.00012,
"loss": 2.7514,
"step": 3
},
{
"epoch": 6.764784224523189e-05,
"grad_norm": 1.3233122825622559,
"learning_rate": 0.00016,
"loss": 2.6365,
"step": 4
},
{
"epoch": 8.455980280653986e-05,
"grad_norm": 1.474558711051941,
"learning_rate": 0.0002,
"loss": 2.8207,
"step": 5
},
{
"epoch": 0.00010147176336784782,
"grad_norm": 1.7245981693267822,
"learning_rate": 0.00019994532573409262,
"loss": 2.6809,
"step": 6
},
{
"epoch": 0.00011838372392915579,
"grad_norm": 2.162684679031372,
"learning_rate": 0.00019978136272187747,
"loss": 2.6813,
"step": 7
},
{
"epoch": 0.00013529568449046378,
"grad_norm": 1.9564881324768066,
"learning_rate": 0.00019950829025450114,
"loss": 2.4524,
"step": 8
},
{
"epoch": 0.00015220764505177175,
"grad_norm": 2.0885121822357178,
"learning_rate": 0.00019912640693269752,
"loss": 2.0998,
"step": 9
},
{
"epoch": 0.00016911960561307972,
"grad_norm": 3.7902536392211914,
"learning_rate": 0.00019863613034027224,
"loss": 2.0842,
"step": 10
},
{
"epoch": 0.00018603156617438767,
"grad_norm": 2.2282345294952393,
"learning_rate": 0.00019803799658748094,
"loss": 1.9047,
"step": 11
},
{
"epoch": 0.00020294352673569564,
"grad_norm": 1.974695086479187,
"learning_rate": 0.0001973326597248006,
"loss": 1.5154,
"step": 12
},
{
"epoch": 0.0002198554872970036,
"grad_norm": 2.592761278152466,
"learning_rate": 0.00019652089102773488,
"loss": 1.7882,
"step": 13
},
{
"epoch": 0.00023676744785831159,
"grad_norm": 2.0295674800872803,
"learning_rate": 0.00019560357815343577,
"loss": 1.6305,
"step": 14
},
{
"epoch": 0.00025367940841961956,
"grad_norm": 1.625274658203125,
"learning_rate": 0.00019458172417006347,
"loss": 1.473,
"step": 15
},
{
"epoch": 0.00027059136898092756,
"grad_norm": 1.835348129272461,
"learning_rate": 0.0001934564464599461,
"loss": 1.8893,
"step": 16
},
{
"epoch": 0.0002875033295422355,
"grad_norm": 1.6969001293182373,
"learning_rate": 0.00019222897549773848,
"loss": 1.8415,
"step": 17
},
{
"epoch": 0.0003044152901035435,
"grad_norm": 2.303267002105713,
"learning_rate": 0.00019090065350491626,
"loss": 1.3015,
"step": 18
},
{
"epoch": 0.00032132725066485145,
"grad_norm": 1.8150877952575684,
"learning_rate": 0.00018947293298207635,
"loss": 1.2658,
"step": 19
},
{
"epoch": 0.00033823921122615945,
"grad_norm": 2.3673338890075684,
"learning_rate": 0.0001879473751206489,
"loss": 1.2364,
"step": 20
},
{
"epoch": 0.0003551511717874674,
"grad_norm": 2.4632089138031006,
"learning_rate": 0.00018632564809575742,
"loss": 1.0193,
"step": 21
},
{
"epoch": 0.00037206313234877534,
"grad_norm": 1.3708044290542603,
"learning_rate": 0.00018460952524209355,
"loss": 0.9471,
"step": 22
},
{
"epoch": 0.00038897509291008334,
"grad_norm": 2.6031060218811035,
"learning_rate": 0.00018280088311480201,
"loss": 1.0314,
"step": 23
},
{
"epoch": 0.0004058870534713913,
"grad_norm": 0.9620503187179565,
"learning_rate": 0.00018090169943749476,
"loss": 0.8515,
"step": 24
},
{
"epoch": 0.0004227990140326993,
"grad_norm": 1.026154637336731,
"learning_rate": 0.00017891405093963938,
"loss": 0.8531,
"step": 25
},
{
"epoch": 0.0004227990140326993,
"eval_loss": 1.3278440237045288,
"eval_runtime": 1805.0632,
"eval_samples_per_second": 13.793,
"eval_steps_per_second": 6.897,
"step": 25
},
{
"epoch": 0.0004397109745940072,
"grad_norm": 1.2110459804534912,
"learning_rate": 0.00017684011108568592,
"loss": 0.895,
"step": 26
},
{
"epoch": 0.0004566229351553152,
"grad_norm": 1.1382213830947876,
"learning_rate": 0.0001746821476984154,
"loss": 0.9614,
"step": 27
},
{
"epoch": 0.00047353489571662317,
"grad_norm": 1.0368095636367798,
"learning_rate": 0.00017244252047910892,
"loss": 0.8552,
"step": 28
},
{
"epoch": 0.0004904468562779311,
"grad_norm": 1.323333740234375,
"learning_rate": 0.00017012367842724887,
"loss": 1.0692,
"step": 29
},
{
"epoch": 0.0005073588168392391,
"grad_norm": 1.1299031972885132,
"learning_rate": 0.00016772815716257412,
"loss": 1.0273,
"step": 30
},
{
"epoch": 0.0005242707774005471,
"grad_norm": 0.9993110299110413,
"learning_rate": 0.00016525857615241687,
"loss": 0.7862,
"step": 31
},
{
"epoch": 0.0005411827379618551,
"grad_norm": 0.9180406332015991,
"learning_rate": 0.0001627176358473537,
"loss": 0.8503,
"step": 32
},
{
"epoch": 0.000558094698523163,
"grad_norm": 0.852716863155365,
"learning_rate": 0.00016010811472830252,
"loss": 0.7589,
"step": 33
},
{
"epoch": 0.000575006659084471,
"grad_norm": 1.1683015823364258,
"learning_rate": 0.00015743286626829437,
"loss": 0.9032,
"step": 34
},
{
"epoch": 0.000591918619645779,
"grad_norm": 0.8834861516952515,
"learning_rate": 0.00015469481581224272,
"loss": 0.8227,
"step": 35
},
{
"epoch": 0.000608830580207087,
"grad_norm": 0.788383424282074,
"learning_rate": 0.00015189695737812152,
"loss": 0.8611,
"step": 36
},
{
"epoch": 0.0006257425407683949,
"grad_norm": 0.7765706777572632,
"learning_rate": 0.00014904235038305083,
"loss": 0.8839,
"step": 37
},
{
"epoch": 0.0006426545013297029,
"grad_norm": 0.8954746127128601,
"learning_rate": 0.0001461341162978688,
"loss": 0.7209,
"step": 38
},
{
"epoch": 0.0006595664618910109,
"grad_norm": 0.6842917799949646,
"learning_rate": 0.00014317543523384928,
"loss": 0.644,
"step": 39
},
{
"epoch": 0.0006764784224523189,
"grad_norm": 0.8862132430076599,
"learning_rate": 0.00014016954246529696,
"loss": 0.7262,
"step": 40
},
{
"epoch": 0.0006933903830136268,
"grad_norm": 0.8410934805870056,
"learning_rate": 0.00013711972489182208,
"loss": 0.7245,
"step": 41
},
{
"epoch": 0.0007103023435749348,
"grad_norm": 1.1996475458145142,
"learning_rate": 0.00013402931744416433,
"loss": 0.8627,
"step": 42
},
{
"epoch": 0.0007272143041362428,
"grad_norm": 1.1021193265914917,
"learning_rate": 0.00013090169943749476,
"loss": 0.887,
"step": 43
},
{
"epoch": 0.0007441262646975507,
"grad_norm": 1.623423457145691,
"learning_rate": 0.00012774029087618446,
"loss": 0.9683,
"step": 44
},
{
"epoch": 0.0007610382252588587,
"grad_norm": 0.932873547077179,
"learning_rate": 0.00012454854871407994,
"loss": 0.882,
"step": 45
},
{
"epoch": 0.0007779501858201667,
"grad_norm": 0.9381756782531738,
"learning_rate": 0.0001213299630743747,
"loss": 0.8824,
"step": 46
},
{
"epoch": 0.0007948621463814747,
"grad_norm": 1.2354497909545898,
"learning_rate": 0.000118088053433211,
"loss": 1.093,
"step": 47
},
{
"epoch": 0.0008117741069427826,
"grad_norm": 1.0774998664855957,
"learning_rate": 0.0001148263647711842,
"loss": 1.032,
"step": 48
},
{
"epoch": 0.0008286860675040906,
"grad_norm": 0.8946607708930969,
"learning_rate": 0.00011154846369695863,
"loss": 0.8654,
"step": 49
},
{
"epoch": 0.0008455980280653986,
"grad_norm": 0.8054470419883728,
"learning_rate": 0.00010825793454723325,
"loss": 0.8106,
"step": 50
},
{
"epoch": 0.0008455980280653986,
"eval_loss": 1.3436920642852783,
"eval_runtime": 1805.0607,
"eval_samples_per_second": 13.793,
"eval_steps_per_second": 6.897,
"step": 50
}
],
"logging_steps": 1,
"max_steps": 100,
"num_input_tokens_seen": 0,
"num_train_epochs": 1,
"save_steps": 25,
"stateful_callbacks": {
"EarlyStoppingCallback": {
"args": {
"early_stopping_patience": 1,
"early_stopping_threshold": 0.0
},
"attributes": {
"early_stopping_patience_counter": 1
}
},
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 3604771504128000.0,
"train_batch_size": 2,
"trial_name": null,
"trial_params": null
}