dada22231's picture
Training in progress, step 50, checkpoint
ef716e9 verified
{
"best_metric": 1.0433918237686157,
"best_model_checkpoint": "miner_id_24/checkpoint-50",
"epoch": 1.9093078758949882,
"eval_steps": 25,
"global_step": 50,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.03818615751789976,
"grad_norm": 0.598337709903717,
"learning_rate": 5e-05,
"loss": 1.3305,
"step": 1
},
{
"epoch": 0.03818615751789976,
"eval_loss": 1.3011970520019531,
"eval_runtime": 3.8681,
"eval_samples_per_second": 12.926,
"eval_steps_per_second": 3.361,
"step": 1
},
{
"epoch": 0.07637231503579953,
"grad_norm": 0.63288813829422,
"learning_rate": 0.0001,
"loss": 1.3475,
"step": 2
},
{
"epoch": 0.11455847255369929,
"grad_norm": 0.5574071407318115,
"learning_rate": 9.990365154573717e-05,
"loss": 1.2604,
"step": 3
},
{
"epoch": 0.15274463007159905,
"grad_norm": 0.5159134268760681,
"learning_rate": 9.961501876182148e-05,
"loss": 1.1942,
"step": 4
},
{
"epoch": 0.1909307875894988,
"grad_norm": 0.6356820464134216,
"learning_rate": 9.913533761814537e-05,
"loss": 1.2512,
"step": 5
},
{
"epoch": 0.22911694510739858,
"grad_norm": 0.37804216146469116,
"learning_rate": 9.846666218300807e-05,
"loss": 1.2074,
"step": 6
},
{
"epoch": 0.26730310262529833,
"grad_norm": 0.3053663969039917,
"learning_rate": 9.761185582727977e-05,
"loss": 1.2112,
"step": 7
},
{
"epoch": 0.3054892601431981,
"grad_norm": 0.2931787073612213,
"learning_rate": 9.657457896300791e-05,
"loss": 1.1615,
"step": 8
},
{
"epoch": 0.3436754176610978,
"grad_norm": 0.25367945432662964,
"learning_rate": 9.535927336897098e-05,
"loss": 1.1396,
"step": 9
},
{
"epoch": 0.3818615751789976,
"grad_norm": 0.20709821581840515,
"learning_rate": 9.397114317029975e-05,
"loss": 1.0884,
"step": 10
},
{
"epoch": 0.4200477326968974,
"grad_norm": 0.21825897693634033,
"learning_rate": 9.241613255361455e-05,
"loss": 1.1018,
"step": 11
},
{
"epoch": 0.45823389021479716,
"grad_norm": 0.23478585481643677,
"learning_rate": 9.070090031310558e-05,
"loss": 1.1477,
"step": 12
},
{
"epoch": 0.4964200477326969,
"grad_norm": 0.2821744382381439,
"learning_rate": 8.883279133655399e-05,
"loss": 1.2513,
"step": 13
},
{
"epoch": 0.5346062052505967,
"grad_norm": 0.3008337616920471,
"learning_rate": 8.681980515339464e-05,
"loss": 1.1062,
"step": 14
},
{
"epoch": 0.5727923627684964,
"grad_norm": 0.26872631907463074,
"learning_rate": 8.467056167950311e-05,
"loss": 1.0936,
"step": 15
},
{
"epoch": 0.6109785202863962,
"grad_norm": 0.22524605691432953,
"learning_rate": 8.239426430539243e-05,
"loss": 1.0977,
"step": 16
},
{
"epoch": 0.649164677804296,
"grad_norm": 0.2258208841085434,
"learning_rate": 8.000066048588211e-05,
"loss": 1.0668,
"step": 17
},
{
"epoch": 0.6873508353221957,
"grad_norm": 0.23417900502681732,
"learning_rate": 7.75e-05,
"loss": 1.1043,
"step": 18
},
{
"epoch": 0.7255369928400954,
"grad_norm": 0.26141414046287537,
"learning_rate": 7.490299105985507e-05,
"loss": 1.1187,
"step": 19
},
{
"epoch": 0.7637231503579952,
"grad_norm": 0.2536011040210724,
"learning_rate": 7.222075445642904e-05,
"loss": 1.1744,
"step": 20
},
{
"epoch": 0.801909307875895,
"grad_norm": 0.20398104190826416,
"learning_rate": 6.946477593864228e-05,
"loss": 1.0902,
"step": 21
},
{
"epoch": 0.8400954653937948,
"grad_norm": 0.2584631145000458,
"learning_rate": 6.664685702961344e-05,
"loss": 1.1053,
"step": 22
},
{
"epoch": 0.8782816229116945,
"grad_norm": 0.24347423017024994,
"learning_rate": 6.377906449072578e-05,
"loss": 1.0866,
"step": 23
},
{
"epoch": 0.9164677804295943,
"grad_norm": 0.25506117939949036,
"learning_rate": 6.087367864990233e-05,
"loss": 1.1008,
"step": 24
},
{
"epoch": 0.954653937947494,
"grad_norm": 0.21184368431568146,
"learning_rate": 5.794314081535644e-05,
"loss": 1.1233,
"step": 25
},
{
"epoch": 0.954653937947494,
"eval_loss": 1.0651795864105225,
"eval_runtime": 3.4914,
"eval_samples_per_second": 14.321,
"eval_steps_per_second": 3.723,
"step": 25
},
{
"epoch": 0.9928400954653938,
"grad_norm": 0.22500985860824585,
"learning_rate": 5.500000000000001e-05,
"loss": 1.0603,
"step": 26
},
{
"epoch": 1.0310262529832936,
"grad_norm": 0.4766336977481842,
"learning_rate": 5.205685918464356e-05,
"loss": 2.0533,
"step": 27
},
{
"epoch": 1.0692124105011933,
"grad_norm": 0.2036180943250656,
"learning_rate": 4.912632135009769e-05,
"loss": 1.0609,
"step": 28
},
{
"epoch": 1.107398568019093,
"grad_norm": 0.1957828253507614,
"learning_rate": 4.6220935509274235e-05,
"loss": 1.0562,
"step": 29
},
{
"epoch": 1.1455847255369929,
"grad_norm": 0.199952632188797,
"learning_rate": 4.3353142970386564e-05,
"loss": 1.0406,
"step": 30
},
{
"epoch": 1.1837708830548925,
"grad_norm": 0.20388226211071014,
"learning_rate": 4.053522406135775e-05,
"loss": 1.0644,
"step": 31
},
{
"epoch": 1.2219570405727924,
"grad_norm": 0.21528272330760956,
"learning_rate": 3.777924554357096e-05,
"loss": 1.0359,
"step": 32
},
{
"epoch": 1.260143198090692,
"grad_norm": 0.21346765756607056,
"learning_rate": 3.509700894014496e-05,
"loss": 1.0727,
"step": 33
},
{
"epoch": 1.2983293556085918,
"grad_norm": 0.2118886560201645,
"learning_rate": 3.250000000000001e-05,
"loss": 1.0475,
"step": 34
},
{
"epoch": 1.3365155131264916,
"grad_norm": 0.2171202301979065,
"learning_rate": 2.9999339514117912e-05,
"loss": 1.0706,
"step": 35
},
{
"epoch": 1.3747016706443915,
"grad_norm": 0.2041509449481964,
"learning_rate": 2.760573569460757e-05,
"loss": 1.0409,
"step": 36
},
{
"epoch": 1.4128878281622912,
"grad_norm": 0.19373871386051178,
"learning_rate": 2.53294383204969e-05,
"loss": 1.0167,
"step": 37
},
{
"epoch": 1.4510739856801909,
"grad_norm": 0.2035079449415207,
"learning_rate": 2.3180194846605367e-05,
"loss": 1.0841,
"step": 38
},
{
"epoch": 1.4892601431980907,
"grad_norm": 0.22423155605793,
"learning_rate": 2.1167208663446025e-05,
"loss": 1.0604,
"step": 39
},
{
"epoch": 1.5274463007159904,
"grad_norm": 0.19593113660812378,
"learning_rate": 1.9299099686894423e-05,
"loss": 1.0352,
"step": 40
},
{
"epoch": 1.5656324582338903,
"grad_norm": 0.19927962124347687,
"learning_rate": 1.758386744638546e-05,
"loss": 1.0087,
"step": 41
},
{
"epoch": 1.60381861575179,
"grad_norm": 0.19032032787799835,
"learning_rate": 1.602885682970026e-05,
"loss": 1.0021,
"step": 42
},
{
"epoch": 1.6420047732696896,
"grad_norm": 0.2027662694454193,
"learning_rate": 1.464072663102903e-05,
"loss": 0.9654,
"step": 43
},
{
"epoch": 1.6801909307875895,
"grad_norm": 0.20297980308532715,
"learning_rate": 1.3425421036992098e-05,
"loss": 1.035,
"step": 44
},
{
"epoch": 1.7183770883054894,
"grad_norm": 0.23470035195350647,
"learning_rate": 1.2388144172720251e-05,
"loss": 1.0552,
"step": 45
},
{
"epoch": 1.756563245823389,
"grad_norm": 0.22237010300159454,
"learning_rate": 1.1533337816991932e-05,
"loss": 1.0851,
"step": 46
},
{
"epoch": 1.7947494033412887,
"grad_norm": 0.2051822692155838,
"learning_rate": 1.0864662381854632e-05,
"loss": 1.0682,
"step": 47
},
{
"epoch": 1.8329355608591884,
"grad_norm": 0.19624276459217072,
"learning_rate": 1.0384981238178534e-05,
"loss": 1.0594,
"step": 48
},
{
"epoch": 1.8711217183770883,
"grad_norm": 0.19812841713428497,
"learning_rate": 1.0096348454262845e-05,
"loss": 1.0042,
"step": 49
},
{
"epoch": 1.9093078758949882,
"grad_norm": 0.1921299695968628,
"learning_rate": 1e-05,
"loss": 1.0595,
"step": 50
},
{
"epoch": 1.9093078758949882,
"eval_loss": 1.0433918237686157,
"eval_runtime": 3.5223,
"eval_samples_per_second": 14.195,
"eval_steps_per_second": 3.691,
"step": 50
}
],
"logging_steps": 1,
"max_steps": 50,
"num_input_tokens_seen": 0,
"num_train_epochs": 2,
"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": 2,
"trial_name": null,
"trial_params": null
}