eeeebbb2's picture
Training in progress, step 50, checkpoint
f8b14a8 verified
raw
history blame
10.3 kB
{
"best_metric": 1.2635948657989502,
"best_model_checkpoint": "miner_id_24/checkpoint-50",
"epoch": 0.011259993244004054,
"eval_steps": 25,
"global_step": 50,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.00022519986488008108,
"grad_norm": 2.1278951168060303,
"learning_rate": 5e-05,
"loss": 3.074,
"step": 1
},
{
"epoch": 0.00022519986488008108,
"eval_loss": 4.716169834136963,
"eval_runtime": 4.3621,
"eval_samples_per_second": 11.462,
"eval_steps_per_second": 2.98,
"step": 1
},
{
"epoch": 0.00045039972976016217,
"grad_norm": 2.8499019145965576,
"learning_rate": 0.0001,
"loss": 3.7294,
"step": 2
},
{
"epoch": 0.0006755995946402432,
"grad_norm": 3.092931032180786,
"learning_rate": 9.990365154573717e-05,
"loss": 3.7785,
"step": 3
},
{
"epoch": 0.0009007994595203243,
"grad_norm": 3.2609915733337402,
"learning_rate": 9.961501876182148e-05,
"loss": 3.1929,
"step": 4
},
{
"epoch": 0.0011259993244004053,
"grad_norm": 4.475097179412842,
"learning_rate": 9.913533761814537e-05,
"loss": 2.7112,
"step": 5
},
{
"epoch": 0.0013511991892804864,
"grad_norm": 2.9876198768615723,
"learning_rate": 9.846666218300807e-05,
"loss": 2.2643,
"step": 6
},
{
"epoch": 0.0015763990541605676,
"grad_norm": 2.384199380874634,
"learning_rate": 9.761185582727977e-05,
"loss": 2.0521,
"step": 7
},
{
"epoch": 0.0018015989190406487,
"grad_norm": 3.000969648361206,
"learning_rate": 9.657457896300791e-05,
"loss": 1.8703,
"step": 8
},
{
"epoch": 0.0020267987839207298,
"grad_norm": 2.2856993675231934,
"learning_rate": 9.535927336897098e-05,
"loss": 1.8155,
"step": 9
},
{
"epoch": 0.0022519986488008107,
"grad_norm": 3.448403835296631,
"learning_rate": 9.397114317029975e-05,
"loss": 1.7403,
"step": 10
},
{
"epoch": 0.002477198513680892,
"grad_norm": 2.4281277656555176,
"learning_rate": 9.241613255361455e-05,
"loss": 1.6285,
"step": 11
},
{
"epoch": 0.002702398378560973,
"grad_norm": 1.6444188356399536,
"learning_rate": 9.070090031310558e-05,
"loss": 1.7825,
"step": 12
},
{
"epoch": 0.0029275982434410538,
"grad_norm": 3.361898899078369,
"learning_rate": 8.883279133655399e-05,
"loss": 1.7924,
"step": 13
},
{
"epoch": 0.003152798108321135,
"grad_norm": 2.4469213485717773,
"learning_rate": 8.681980515339464e-05,
"loss": 1.6112,
"step": 14
},
{
"epoch": 0.003377997973201216,
"grad_norm": 1.2440874576568604,
"learning_rate": 8.467056167950311e-05,
"loss": 1.5038,
"step": 15
},
{
"epoch": 0.0036031978380812973,
"grad_norm": 1.0188878774642944,
"learning_rate": 8.239426430539243e-05,
"loss": 1.422,
"step": 16
},
{
"epoch": 0.0038283977029613782,
"grad_norm": 1.1848514080047607,
"learning_rate": 8.000066048588211e-05,
"loss": 1.4293,
"step": 17
},
{
"epoch": 0.0040535975678414595,
"grad_norm": 1.1049160957336426,
"learning_rate": 7.75e-05,
"loss": 1.3361,
"step": 18
},
{
"epoch": 0.00427879743272154,
"grad_norm": 1.1141437292099,
"learning_rate": 7.490299105985507e-05,
"loss": 1.5148,
"step": 19
},
{
"epoch": 0.004503997297601621,
"grad_norm": 0.9767174124717712,
"learning_rate": 7.222075445642904e-05,
"loss": 1.455,
"step": 20
},
{
"epoch": 0.004729197162481703,
"grad_norm": 1.102776288986206,
"learning_rate": 6.946477593864228e-05,
"loss": 1.4185,
"step": 21
},
{
"epoch": 0.004954397027361784,
"grad_norm": 1.1417127847671509,
"learning_rate": 6.664685702961344e-05,
"loss": 1.4333,
"step": 22
},
{
"epoch": 0.0051795968922418644,
"grad_norm": 1.070078730583191,
"learning_rate": 6.377906449072578e-05,
"loss": 1.4496,
"step": 23
},
{
"epoch": 0.005404796757121946,
"grad_norm": 0.9801068305969238,
"learning_rate": 6.087367864990233e-05,
"loss": 1.4157,
"step": 24
},
{
"epoch": 0.005629996622002027,
"grad_norm": 1.6465044021606445,
"learning_rate": 5.794314081535644e-05,
"loss": 1.6247,
"step": 25
},
{
"epoch": 0.005629996622002027,
"eval_loss": 1.382283329963684,
"eval_runtime": 4.3747,
"eval_samples_per_second": 11.429,
"eval_steps_per_second": 2.972,
"step": 25
},
{
"epoch": 0.0058551964868821076,
"grad_norm": 1.4691429138183594,
"learning_rate": 5.500000000000001e-05,
"loss": 1.4322,
"step": 26
},
{
"epoch": 0.006080396351762189,
"grad_norm": 1.2287325859069824,
"learning_rate": 5.205685918464356e-05,
"loss": 1.3127,
"step": 27
},
{
"epoch": 0.00630559621664227,
"grad_norm": 1.1598153114318848,
"learning_rate": 4.912632135009769e-05,
"loss": 1.34,
"step": 28
},
{
"epoch": 0.006530796081522351,
"grad_norm": 0.9561071991920471,
"learning_rate": 4.6220935509274235e-05,
"loss": 1.3157,
"step": 29
},
{
"epoch": 0.006755995946402432,
"grad_norm": 1.0402426719665527,
"learning_rate": 4.3353142970386564e-05,
"loss": 1.2949,
"step": 30
},
{
"epoch": 0.006981195811282513,
"grad_norm": 0.8111638426780701,
"learning_rate": 4.053522406135775e-05,
"loss": 1.1885,
"step": 31
},
{
"epoch": 0.007206395676162595,
"grad_norm": 0.9830905795097351,
"learning_rate": 3.777924554357096e-05,
"loss": 1.2732,
"step": 32
},
{
"epoch": 0.007431595541042675,
"grad_norm": 0.9290409088134766,
"learning_rate": 3.509700894014496e-05,
"loss": 1.3023,
"step": 33
},
{
"epoch": 0.0076567954059227564,
"grad_norm": 1.0560059547424316,
"learning_rate": 3.250000000000001e-05,
"loss": 1.3375,
"step": 34
},
{
"epoch": 0.007881995270802838,
"grad_norm": 1.053708791732788,
"learning_rate": 2.9999339514117912e-05,
"loss": 1.3542,
"step": 35
},
{
"epoch": 0.008107195135682919,
"grad_norm": 1.1545864343643188,
"learning_rate": 2.760573569460757e-05,
"loss": 1.415,
"step": 36
},
{
"epoch": 0.008332395000563,
"grad_norm": 1.4278931617736816,
"learning_rate": 2.53294383204969e-05,
"loss": 1.4864,
"step": 37
},
{
"epoch": 0.00855759486544308,
"grad_norm": 0.9526941180229187,
"learning_rate": 2.3180194846605367e-05,
"loss": 1.203,
"step": 38
},
{
"epoch": 0.008782794730323161,
"grad_norm": 1.0327879190444946,
"learning_rate": 2.1167208663446025e-05,
"loss": 1.2277,
"step": 39
},
{
"epoch": 0.009007994595203243,
"grad_norm": 1.0579802989959717,
"learning_rate": 1.9299099686894423e-05,
"loss": 1.2959,
"step": 40
},
{
"epoch": 0.009233194460083324,
"grad_norm": 0.8935350179672241,
"learning_rate": 1.758386744638546e-05,
"loss": 1.3103,
"step": 41
},
{
"epoch": 0.009458394324963405,
"grad_norm": 0.7780750393867493,
"learning_rate": 1.602885682970026e-05,
"loss": 1.3531,
"step": 42
},
{
"epoch": 0.009683594189843487,
"grad_norm": 0.745571494102478,
"learning_rate": 1.464072663102903e-05,
"loss": 1.3248,
"step": 43
},
{
"epoch": 0.009908794054723568,
"grad_norm": 0.7142487168312073,
"learning_rate": 1.3425421036992098e-05,
"loss": 1.2679,
"step": 44
},
{
"epoch": 0.010133993919603648,
"grad_norm": 0.7780869007110596,
"learning_rate": 1.2388144172720251e-05,
"loss": 1.3402,
"step": 45
},
{
"epoch": 0.010359193784483729,
"grad_norm": 0.7028299570083618,
"learning_rate": 1.1533337816991932e-05,
"loss": 1.2582,
"step": 46
},
{
"epoch": 0.01058439364936381,
"grad_norm": 0.9651392102241516,
"learning_rate": 1.0864662381854632e-05,
"loss": 1.3955,
"step": 47
},
{
"epoch": 0.010809593514243892,
"grad_norm": 0.9906733632087708,
"learning_rate": 1.0384981238178534e-05,
"loss": 1.4157,
"step": 48
},
{
"epoch": 0.011034793379123973,
"grad_norm": 1.2405346632003784,
"learning_rate": 1.0096348454262845e-05,
"loss": 1.4454,
"step": 49
},
{
"epoch": 0.011259993244004054,
"grad_norm": 1.7434841394424438,
"learning_rate": 1e-05,
"loss": 1.4865,
"step": 50
},
{
"epoch": 0.011259993244004054,
"eval_loss": 1.2635948657989502,
"eval_runtime": 4.3362,
"eval_samples_per_second": 11.531,
"eval_steps_per_second": 2.998,
"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": 5.968083617316864e+17,
"train_batch_size": 1,
"trial_name": null,
"trial_params": null
}