RoyJoy's picture
Training in progress, step 50, checkpoint
4216524 verified
raw
history blame
10.3 kB
{
"best_metric": 0.4174307584762573,
"best_model_checkpoint": "miner_id_24/checkpoint-50",
"epoch": 0.04538852578068264,
"eval_steps": 25,
"global_step": 50,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.0009077705156136529,
"grad_norm": 19.090673446655273,
"learning_rate": 0.00015,
"loss": 9.7116,
"step": 1
},
{
"epoch": 0.0009077705156136529,
"eval_loss": 9.237911224365234,
"eval_runtime": 0.5515,
"eval_samples_per_second": 90.658,
"eval_steps_per_second": 5.439,
"step": 1
},
{
"epoch": 0.0018155410312273058,
"grad_norm": 21.541793823242188,
"learning_rate": 0.0003,
"loss": 9.5187,
"step": 2
},
{
"epoch": 0.0027233115468409588,
"grad_norm": 16.640724182128906,
"learning_rate": 0.0002998600959423082,
"loss": 7.2173,
"step": 3
},
{
"epoch": 0.0036310820624546117,
"grad_norm": 172.39108276367188,
"learning_rate": 0.0002994406737417567,
"loss": 6.3391,
"step": 4
},
{
"epoch": 0.004538852578068265,
"grad_norm": 9.659110069274902,
"learning_rate": 0.00029874260271490463,
"loss": 3.7329,
"step": 5
},
{
"epoch": 0.0054466230936819175,
"grad_norm": 11.84581470489502,
"learning_rate": 0.00029776732972055516,
"loss": 2.0967,
"step": 6
},
{
"epoch": 0.0063543936092955704,
"grad_norm": 35.30651092529297,
"learning_rate": 0.0002965168761609197,
"loss": 1.4312,
"step": 7
},
{
"epoch": 0.007262164124909223,
"grad_norm": 8.859146118164062,
"learning_rate": 0.0002949938337919529,
"loss": 0.8472,
"step": 8
},
{
"epoch": 0.008169934640522876,
"grad_norm": 9.34030532836914,
"learning_rate": 0.0002932013593515431,
"loss": 0.8184,
"step": 9
},
{
"epoch": 0.00907770515613653,
"grad_norm": 7.431899070739746,
"learning_rate": 0.00029114316801669057,
"loss": 0.7907,
"step": 10
},
{
"epoch": 0.009985475671750182,
"grad_norm": 8.734899520874023,
"learning_rate": 0.00028882352570323616,
"loss": 0.7096,
"step": 11
},
{
"epoch": 0.010893246187363835,
"grad_norm": 8.801371574401855,
"learning_rate": 0.00028624724022409897,
"loss": 0.8588,
"step": 12
},
{
"epoch": 0.011801016702977488,
"grad_norm": 7.757359981536865,
"learning_rate": 0.0002834196513243502,
"loss": 0.8325,
"step": 13
},
{
"epoch": 0.012708787218591141,
"grad_norm": 5.052784442901611,
"learning_rate": 0.0002803466196137759,
"loss": 0.5601,
"step": 14
},
{
"epoch": 0.013616557734204794,
"grad_norm": 3.7386362552642822,
"learning_rate": 0.00027703451441986836,
"loss": 0.5656,
"step": 15
},
{
"epoch": 0.014524328249818447,
"grad_norm": 4.285150527954102,
"learning_rate": 0.000273490200586422,
"loss": 0.5889,
"step": 16
},
{
"epoch": 0.015432098765432098,
"grad_norm": 1.7297357320785522,
"learning_rate": 0.00026972102424509665,
"loss": 0.5514,
"step": 17
},
{
"epoch": 0.016339869281045753,
"grad_norm": 4.028224468231201,
"learning_rate": 0.00026573479758943753,
"loss": 0.622,
"step": 18
},
{
"epoch": 0.017247639796659404,
"grad_norm": 3.1785671710968018,
"learning_rate": 0.0002615397826829114,
"loss": 0.6005,
"step": 19
},
{
"epoch": 0.01815541031227306,
"grad_norm": 2.6770856380462646,
"learning_rate": 0.0002571446743345183,
"loss": 0.5465,
"step": 20
},
{
"epoch": 0.01906318082788671,
"grad_norm": 1.3410382270812988,
"learning_rate": 0.00025255858207747205,
"loss": 0.4898,
"step": 21
},
{
"epoch": 0.019970951343500364,
"grad_norm": 6.422758102416992,
"learning_rate": 0.0002477910112883017,
"loss": 0.6803,
"step": 22
},
{
"epoch": 0.020878721859114015,
"grad_norm": 4.62112283706665,
"learning_rate": 0.00024285184348550706,
"loss": 0.5983,
"step": 23
},
{
"epoch": 0.02178649237472767,
"grad_norm": 1.9435359239578247,
"learning_rate": 0.0002377513158486027,
"loss": 0.5102,
"step": 24
},
{
"epoch": 0.02269426289034132,
"grad_norm": 1.9337120056152344,
"learning_rate": 0.00023249999999999999,
"loss": 0.5099,
"step": 25
},
{
"epoch": 0.02269426289034132,
"eval_loss": 0.6093809008598328,
"eval_runtime": 0.5517,
"eval_samples_per_second": 90.623,
"eval_steps_per_second": 5.437,
"step": 25
},
{
"epoch": 0.023602033405954976,
"grad_norm": 4.949934959411621,
"learning_rate": 0.00022710878009370554,
"loss": 0.6187,
"step": 26
},
{
"epoch": 0.024509803921568627,
"grad_norm": 3.945021390914917,
"learning_rate": 0.00022158883025624965,
"loss": 0.5797,
"step": 27
},
{
"epoch": 0.025417574437182282,
"grad_norm": 2.5016119480133057,
"learning_rate": 0.0002159515914266029,
"loss": 0.5343,
"step": 28
},
{
"epoch": 0.026325344952795933,
"grad_norm": 1.574798345565796,
"learning_rate": 0.0002102087476430831,
"loss": 0.5074,
"step": 29
},
{
"epoch": 0.027233115468409588,
"grad_norm": 1.7340073585510254,
"learning_rate": 0.00020437220182640135,
"loss": 0.4987,
"step": 30
},
{
"epoch": 0.02814088598402324,
"grad_norm": 1.8289647102355957,
"learning_rate": 0.00019845405110904146,
"loss": 0.522,
"step": 31
},
{
"epoch": 0.029048656499636893,
"grad_norm": 1.8377400636672974,
"learning_rate": 0.00019246656176210558,
"loss": 0.4699,
"step": 32
},
{
"epoch": 0.029956427015250545,
"grad_norm": 2.042335271835327,
"learning_rate": 0.0001864221437715939,
"loss": 0.4408,
"step": 33
},
{
"epoch": 0.030864197530864196,
"grad_norm": 2.779773712158203,
"learning_rate": 0.0001803333251168141,
"loss": 0.5595,
"step": 34
},
{
"epoch": 0.03177196804647785,
"grad_norm": 2.2879557609558105,
"learning_rate": 0.00017421272580423058,
"loss": 0.5574,
"step": 35
},
{
"epoch": 0.032679738562091505,
"grad_norm": 2.1511833667755127,
"learning_rate": 0.00016807303171057425,
"loss": 0.5359,
"step": 36
},
{
"epoch": 0.033587509077705156,
"grad_norm": 1.0012569427490234,
"learning_rate": 0.00016192696828942573,
"loss": 0.4326,
"step": 37
},
{
"epoch": 0.03449527959331881,
"grad_norm": 2.745234489440918,
"learning_rate": 0.00015578727419576942,
"loss": 0.5126,
"step": 38
},
{
"epoch": 0.03540305010893246,
"grad_norm": 2.2056078910827637,
"learning_rate": 0.00014966667488318586,
"loss": 0.4623,
"step": 39
},
{
"epoch": 0.03631082062454612,
"grad_norm": 1.4716527462005615,
"learning_rate": 0.00014357785622840606,
"loss": 0.4342,
"step": 40
},
{
"epoch": 0.03721859114015977,
"grad_norm": 1.3762019872665405,
"learning_rate": 0.00013753343823789445,
"loss": 0.4361,
"step": 41
},
{
"epoch": 0.03812636165577342,
"grad_norm": 2.7313358783721924,
"learning_rate": 0.00013154594889095854,
"loss": 0.4984,
"step": 42
},
{
"epoch": 0.03903413217138707,
"grad_norm": 2.4179422855377197,
"learning_rate": 0.00012562779817359865,
"loss": 0.4451,
"step": 43
},
{
"epoch": 0.03994190268700073,
"grad_norm": 2.6130852699279785,
"learning_rate": 0.00011979125235691685,
"loss": 0.5173,
"step": 44
},
{
"epoch": 0.04084967320261438,
"grad_norm": 2.8871238231658936,
"learning_rate": 0.00011404840857339706,
"loss": 0.4606,
"step": 45
},
{
"epoch": 0.04175744371822803,
"grad_norm": 2.950117826461792,
"learning_rate": 0.0001084111697437504,
"loss": 0.4586,
"step": 46
},
{
"epoch": 0.04266521423384168,
"grad_norm": 0.984398365020752,
"learning_rate": 0.00010289121990629447,
"loss": 0.4926,
"step": 47
},
{
"epoch": 0.04357298474945534,
"grad_norm": 2.0302248001098633,
"learning_rate": 9.750000000000003e-05,
"loss": 0.4309,
"step": 48
},
{
"epoch": 0.04448075526506899,
"grad_norm": 1.1805931329727173,
"learning_rate": 9.22486841513973e-05,
"loss": 0.4593,
"step": 49
},
{
"epoch": 0.04538852578068264,
"grad_norm": 1.6091700792312622,
"learning_rate": 8.714815651449293e-05,
"loss": 0.4697,
"step": 50
},
{
"epoch": 0.04538852578068264,
"eval_loss": 0.4174307584762573,
"eval_runtime": 0.5516,
"eval_samples_per_second": 90.651,
"eval_steps_per_second": 5.439,
"step": 50
}
],
"logging_steps": 1,
"max_steps": 71,
"num_input_tokens_seen": 0,
"num_train_epochs": 1,
"save_steps": 50,
"stateful_callbacks": {
"EarlyStoppingCallback": {
"args": {
"early_stopping_patience": 1,
"early_stopping_threshold": 0.0
},
"attributes": {
"early_stopping_patience_counter": 0
}
},
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 7.81327834021888e+16,
"train_batch_size": 6,
"trial_name": null,
"trial_params": null
}