revusyi's picture
Training in progress, step 50, checkpoint
3428a46 verified
{
"best_metric": 3.311112642288208,
"best_model_checkpoint": "miner_id_24/checkpoint-50",
"epoch": 0.03707823507601038,
"eval_steps": 25,
"global_step": 50,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.0007415647015202076,
"grad_norm": 3.377488136291504,
"learning_rate": 0.0001,
"loss": 8.9017,
"step": 1
},
{
"epoch": 0.0007415647015202076,
"eval_loss": 9.218616485595703,
"eval_runtime": 177.3737,
"eval_samples_per_second": 3.202,
"eval_steps_per_second": 1.601,
"step": 1
},
{
"epoch": 0.0014831294030404152,
"grad_norm": 6.2697906494140625,
"learning_rate": 0.0002,
"loss": 10.61,
"step": 2
},
{
"epoch": 0.002224694104560623,
"grad_norm": 3.270674467086792,
"learning_rate": 0.00019978589232386035,
"loss": 9.1669,
"step": 3
},
{
"epoch": 0.0029662588060808304,
"grad_norm": 3.1401238441467285,
"learning_rate": 0.00019914448613738106,
"loss": 8.2194,
"step": 4
},
{
"epoch": 0.0037078235076010383,
"grad_norm": 4.1089324951171875,
"learning_rate": 0.00019807852804032305,
"loss": 6.6566,
"step": 5
},
{
"epoch": 0.004449388209121246,
"grad_norm": 4.740741729736328,
"learning_rate": 0.00019659258262890683,
"loss": 7.2733,
"step": 6
},
{
"epoch": 0.005190952910641453,
"grad_norm": 5.110124111175537,
"learning_rate": 0.0001946930129495106,
"loss": 6.5047,
"step": 7
},
{
"epoch": 0.005932517612161661,
"grad_norm": 4.217177867889404,
"learning_rate": 0.0001923879532511287,
"loss": 5.7418,
"step": 8
},
{
"epoch": 0.006674082313681869,
"grad_norm": 5.452293395996094,
"learning_rate": 0.00018968727415326884,
"loss": 3.8136,
"step": 9
},
{
"epoch": 0.007415647015202077,
"grad_norm": 4.3546953201293945,
"learning_rate": 0.00018660254037844388,
"loss": 4.0953,
"step": 10
},
{
"epoch": 0.008157211716722283,
"grad_norm": 4.2849555015563965,
"learning_rate": 0.00018314696123025454,
"loss": 4.38,
"step": 11
},
{
"epoch": 0.008898776418242492,
"grad_norm": 5.345592975616455,
"learning_rate": 0.00017933533402912354,
"loss": 4.2612,
"step": 12
},
{
"epoch": 0.0096403411197627,
"grad_norm": 8.180353164672852,
"learning_rate": 0.00017518398074789775,
"loss": 3.5156,
"step": 13
},
{
"epoch": 0.010381905821282907,
"grad_norm": 4.656401634216309,
"learning_rate": 0.00017071067811865476,
"loss": 3.5006,
"step": 14
},
{
"epoch": 0.011123470522803115,
"grad_norm": 5.976954936981201,
"learning_rate": 0.00016593458151000688,
"loss": 3.9601,
"step": 15
},
{
"epoch": 0.011865035224323322,
"grad_norm": 4.536986351013184,
"learning_rate": 0.00016087614290087208,
"loss": 3.7285,
"step": 16
},
{
"epoch": 0.01260659992584353,
"grad_norm": 5.482044219970703,
"learning_rate": 0.00015555702330196023,
"loss": 4.115,
"step": 17
},
{
"epoch": 0.013348164627363738,
"grad_norm": 6.564908981323242,
"learning_rate": 0.00015000000000000001,
"loss": 4.6749,
"step": 18
},
{
"epoch": 0.014089729328883945,
"grad_norm": 6.927220821380615,
"learning_rate": 0.00014422886902190014,
"loss": 4.2839,
"step": 19
},
{
"epoch": 0.014831294030404153,
"grad_norm": 6.5299177169799805,
"learning_rate": 0.000138268343236509,
"loss": 3.9471,
"step": 20
},
{
"epoch": 0.01557285873192436,
"grad_norm": 6.840676307678223,
"learning_rate": 0.00013214394653031616,
"loss": 2.8071,
"step": 21
},
{
"epoch": 0.016314423433444566,
"grad_norm": 6.179226875305176,
"learning_rate": 0.00012588190451025207,
"loss": 4.5197,
"step": 22
},
{
"epoch": 0.017055988134964777,
"grad_norm": 5.269598007202148,
"learning_rate": 0.00011950903220161285,
"loss": 3.9873,
"step": 23
},
{
"epoch": 0.017797552836484983,
"grad_norm": 5.684578895568848,
"learning_rate": 0.00011305261922200519,
"loss": 2.8623,
"step": 24
},
{
"epoch": 0.01853911753800519,
"grad_norm": 5.754444122314453,
"learning_rate": 0.00010654031292301432,
"loss": 3.9775,
"step": 25
},
{
"epoch": 0.01853911753800519,
"eval_loss": 3.6264519691467285,
"eval_runtime": 178.4867,
"eval_samples_per_second": 3.182,
"eval_steps_per_second": 1.591,
"step": 25
},
{
"epoch": 0.0192806822395254,
"grad_norm": 5.769565105438232,
"learning_rate": 0.0001,
"loss": 3.8071,
"step": 26
},
{
"epoch": 0.020022246941045607,
"grad_norm": 5.704461574554443,
"learning_rate": 9.345968707698569e-05,
"loss": 3.2958,
"step": 27
},
{
"epoch": 0.020763811642565813,
"grad_norm": 5.851852893829346,
"learning_rate": 8.694738077799488e-05,
"loss": 3.9264,
"step": 28
},
{
"epoch": 0.021505376344086023,
"grad_norm": 5.5478715896606445,
"learning_rate": 8.049096779838719e-05,
"loss": 4.3509,
"step": 29
},
{
"epoch": 0.02224694104560623,
"grad_norm": 6.7844367027282715,
"learning_rate": 7.411809548974792e-05,
"loss": 3.4878,
"step": 30
},
{
"epoch": 0.022988505747126436,
"grad_norm": 5.998141765594482,
"learning_rate": 6.785605346968386e-05,
"loss": 4.4051,
"step": 31
},
{
"epoch": 0.023730070448646643,
"grad_norm": 5.847940444946289,
"learning_rate": 6.173165676349103e-05,
"loss": 3.4056,
"step": 32
},
{
"epoch": 0.024471635150166853,
"grad_norm": 5.002828598022461,
"learning_rate": 5.577113097809989e-05,
"loss": 3.02,
"step": 33
},
{
"epoch": 0.02521319985168706,
"grad_norm": 4.438299179077148,
"learning_rate": 5.000000000000002e-05,
"loss": 2.562,
"step": 34
},
{
"epoch": 0.025954764553207266,
"grad_norm": 5.450693607330322,
"learning_rate": 4.444297669803981e-05,
"loss": 2.7356,
"step": 35
},
{
"epoch": 0.026696329254727477,
"grad_norm": 4.7872314453125,
"learning_rate": 3.9123857099127936e-05,
"loss": 3.2078,
"step": 36
},
{
"epoch": 0.027437893956247683,
"grad_norm": 6.174244403839111,
"learning_rate": 3.406541848999312e-05,
"loss": 4.46,
"step": 37
},
{
"epoch": 0.02817945865776789,
"grad_norm": 5.326364040374756,
"learning_rate": 2.9289321881345254e-05,
"loss": 3.9328,
"step": 38
},
{
"epoch": 0.028921023359288096,
"grad_norm": 5.555682182312012,
"learning_rate": 2.4816019252102273e-05,
"loss": 3.7987,
"step": 39
},
{
"epoch": 0.029662588060808306,
"grad_norm": 6.068312168121338,
"learning_rate": 2.0664665970876496e-05,
"loss": 3.3475,
"step": 40
},
{
"epoch": 0.030404152762328513,
"grad_norm": 5.438655376434326,
"learning_rate": 1.6853038769745467e-05,
"loss": 1.974,
"step": 41
},
{
"epoch": 0.03114571746384872,
"grad_norm": 5.173154830932617,
"learning_rate": 1.339745962155613e-05,
"loss": 3.0526,
"step": 42
},
{
"epoch": 0.03188728216536893,
"grad_norm": 5.596974849700928,
"learning_rate": 1.0312725846731175e-05,
"loss": 3.4781,
"step": 43
},
{
"epoch": 0.03262884686688913,
"grad_norm": 4.907413959503174,
"learning_rate": 7.612046748871327e-06,
"loss": 2.716,
"step": 44
},
{
"epoch": 0.03337041156840934,
"grad_norm": 6.975232124328613,
"learning_rate": 5.306987050489442e-06,
"loss": 3.4974,
"step": 45
},
{
"epoch": 0.03411197626992955,
"grad_norm": 6.564231872558594,
"learning_rate": 3.40741737109318e-06,
"loss": 3.3458,
"step": 46
},
{
"epoch": 0.034853540971449756,
"grad_norm": 9.936782836914062,
"learning_rate": 1.921471959676957e-06,
"loss": 3.1931,
"step": 47
},
{
"epoch": 0.035595105672969966,
"grad_norm": 8.084567070007324,
"learning_rate": 8.555138626189618e-07,
"loss": 3.0752,
"step": 48
},
{
"epoch": 0.036336670374490176,
"grad_norm": 6.863251686096191,
"learning_rate": 2.141076761396521e-07,
"loss": 3.0839,
"step": 49
},
{
"epoch": 0.03707823507601038,
"grad_norm": 7.218696117401123,
"learning_rate": 0.0,
"loss": 4.2556,
"step": 50
},
{
"epoch": 0.03707823507601038,
"eval_loss": 3.311112642288208,
"eval_runtime": 178.6967,
"eval_samples_per_second": 3.179,
"eval_steps_per_second": 1.589,
"step": 50
}
],
"logging_steps": 1,
"max_steps": 50,
"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": 0
}
},
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 6.99038693326848e+16,
"train_batch_size": 2,
"trial_name": null,
"trial_params": null
}