dada22231's picture
Training in progress, step 50, checkpoint
c2ea96e verified
raw
history blame
10.1 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.013341894382228596,
"eval_steps": 25,
"global_step": 50,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.00026683788764457196,
"grad_norm": 22.89421844482422,
"learning_rate": 5e-05,
"loss": 99.4744,
"step": 1
},
{
"epoch": 0.00026683788764457196,
"eval_loss": 3.534377336502075,
"eval_runtime": 2.9106,
"eval_samples_per_second": 17.179,
"eval_steps_per_second": 4.466,
"step": 1
},
{
"epoch": 0.0005336757752891439,
"grad_norm": 23.7343692779541,
"learning_rate": 0.0001,
"loss": 103.3411,
"step": 2
},
{
"epoch": 0.0008005136629337158,
"grad_norm": 48.079044342041016,
"learning_rate": 9.990365154573717e-05,
"loss": 101.9827,
"step": 3
},
{
"epoch": 0.0010673515505782878,
"grad_norm": 38.11738967895508,
"learning_rate": 9.961501876182148e-05,
"loss": 102.6331,
"step": 4
},
{
"epoch": 0.0013341894382228596,
"grad_norm": 32.43550109863281,
"learning_rate": 9.913533761814537e-05,
"loss": 98.8496,
"step": 5
},
{
"epoch": 0.0016010273258674317,
"grad_norm": 36.24091339111328,
"learning_rate": 9.846666218300807e-05,
"loss": 96.6713,
"step": 6
},
{
"epoch": 0.0018678652135120035,
"grad_norm": 37.49607467651367,
"learning_rate": 9.761185582727977e-05,
"loss": 94.9006,
"step": 7
},
{
"epoch": 0.0021347031011565757,
"grad_norm": 34.56901931762695,
"learning_rate": 9.657457896300791e-05,
"loss": 93.4301,
"step": 8
},
{
"epoch": 0.0024015409888011475,
"grad_norm": 31.850221633911133,
"learning_rate": 9.535927336897098e-05,
"loss": 91.105,
"step": 9
},
{
"epoch": 0.0026683788764457193,
"grad_norm": 43.924991607666016,
"learning_rate": 9.397114317029975e-05,
"loss": 93.5747,
"step": 10
},
{
"epoch": 0.002935216764090291,
"grad_norm": 33.07682800292969,
"learning_rate": 9.241613255361455e-05,
"loss": 93.5264,
"step": 11
},
{
"epoch": 0.0032020546517348633,
"grad_norm": 52.70429992675781,
"learning_rate": 9.070090031310558e-05,
"loss": 100.4311,
"step": 12
},
{
"epoch": 0.003468892539379435,
"grad_norm": 91.30162048339844,
"learning_rate": 8.883279133655399e-05,
"loss": 103.5051,
"step": 13
},
{
"epoch": 0.003735730427024007,
"grad_norm": 48.74945068359375,
"learning_rate": 8.681980515339464e-05,
"loss": 90.932,
"step": 14
},
{
"epoch": 0.004002568314668579,
"grad_norm": 38.04246139526367,
"learning_rate": 8.467056167950311e-05,
"loss": 91.092,
"step": 15
},
{
"epoch": 0.004269406202313151,
"grad_norm": 32.99767303466797,
"learning_rate": 8.239426430539243e-05,
"loss": 86.978,
"step": 16
},
{
"epoch": 0.004536244089957723,
"grad_norm": 25.959495544433594,
"learning_rate": 8.000066048588211e-05,
"loss": 87.323,
"step": 17
},
{
"epoch": 0.004803081977602295,
"grad_norm": 22.552183151245117,
"learning_rate": 7.75e-05,
"loss": 87.7695,
"step": 18
},
{
"epoch": 0.005069919865246866,
"grad_norm": 17.352420806884766,
"learning_rate": 7.490299105985507e-05,
"loss": 87.1552,
"step": 19
},
{
"epoch": 0.0053367577528914386,
"grad_norm": 14.216341018676758,
"learning_rate": 7.222075445642904e-05,
"loss": 87.1521,
"step": 20
},
{
"epoch": 0.005603595640536011,
"grad_norm": 13.55358600616455,
"learning_rate": 6.946477593864228e-05,
"loss": 87.6133,
"step": 21
},
{
"epoch": 0.005870433528180582,
"grad_norm": 18.19391441345215,
"learning_rate": 6.664685702961344e-05,
"loss": 86.9043,
"step": 22
},
{
"epoch": 0.006137271415825154,
"grad_norm": 20.173397064208984,
"learning_rate": 6.377906449072578e-05,
"loss": 88.4352,
"step": 23
},
{
"epoch": 0.006404109303469727,
"grad_norm": 27.15044403076172,
"learning_rate": 6.087367864990233e-05,
"loss": 89.5455,
"step": 24
},
{
"epoch": 0.006670947191114298,
"grad_norm": 77.1603012084961,
"learning_rate": 5.794314081535644e-05,
"loss": 105.756,
"step": 25
},
{
"epoch": 0.006670947191114298,
"eval_loss": 2.6978037357330322,
"eval_runtime": 2.9516,
"eval_samples_per_second": 16.94,
"eval_steps_per_second": 4.404,
"step": 25
},
{
"epoch": 0.00693778507875887,
"grad_norm": 14.102134704589844,
"learning_rate": 5.500000000000001e-05,
"loss": 85.3265,
"step": 26
},
{
"epoch": 0.0072046229664034424,
"grad_norm": 16.71866798400879,
"learning_rate": 5.205685918464356e-05,
"loss": 86.5452,
"step": 27
},
{
"epoch": 0.007471460854048014,
"grad_norm": 18.847749710083008,
"learning_rate": 4.912632135009769e-05,
"loss": 86.1274,
"step": 28
},
{
"epoch": 0.007738298741692586,
"grad_norm": 17.256502151489258,
"learning_rate": 4.6220935509274235e-05,
"loss": 85.8048,
"step": 29
},
{
"epoch": 0.008005136629337158,
"grad_norm": 10.483077049255371,
"learning_rate": 4.3353142970386564e-05,
"loss": 86.754,
"step": 30
},
{
"epoch": 0.00827197451698173,
"grad_norm": 7.900310039520264,
"learning_rate": 4.053522406135775e-05,
"loss": 84.7266,
"step": 31
},
{
"epoch": 0.008538812404626303,
"grad_norm": 10.001039505004883,
"learning_rate": 3.777924554357096e-05,
"loss": 85.7117,
"step": 32
},
{
"epoch": 0.008805650292270874,
"grad_norm": 15.488116264343262,
"learning_rate": 3.509700894014496e-05,
"loss": 84.1797,
"step": 33
},
{
"epoch": 0.009072488179915445,
"grad_norm": 20.616697311401367,
"learning_rate": 3.250000000000001e-05,
"loss": 85.459,
"step": 34
},
{
"epoch": 0.009339326067560017,
"grad_norm": 25.470232009887695,
"learning_rate": 2.9999339514117912e-05,
"loss": 83.8137,
"step": 35
},
{
"epoch": 0.00960616395520459,
"grad_norm": 34.425106048583984,
"learning_rate": 2.760573569460757e-05,
"loss": 87.1356,
"step": 36
},
{
"epoch": 0.009873001842849161,
"grad_norm": 74.32858276367188,
"learning_rate": 2.53294383204969e-05,
"loss": 89.267,
"step": 37
},
{
"epoch": 0.010139839730493733,
"grad_norm": 67.69532012939453,
"learning_rate": 2.3180194846605367e-05,
"loss": 99.5797,
"step": 38
},
{
"epoch": 0.010406677618138306,
"grad_norm": 6.894927978515625,
"learning_rate": 2.1167208663446025e-05,
"loss": 83.4439,
"step": 39
},
{
"epoch": 0.010673515505782877,
"grad_norm": 7.002964496612549,
"learning_rate": 1.9299099686894423e-05,
"loss": 84.3967,
"step": 40
},
{
"epoch": 0.010940353393427448,
"grad_norm": 6.538271903991699,
"learning_rate": 1.758386744638546e-05,
"loss": 85.0133,
"step": 41
},
{
"epoch": 0.011207191281072022,
"grad_norm": 7.0363383293151855,
"learning_rate": 1.602885682970026e-05,
"loss": 84.4411,
"step": 42
},
{
"epoch": 0.011474029168716593,
"grad_norm": 7.243854522705078,
"learning_rate": 1.464072663102903e-05,
"loss": 85.7455,
"step": 43
},
{
"epoch": 0.011740867056361164,
"grad_norm": 6.435781478881836,
"learning_rate": 1.3425421036992098e-05,
"loss": 84.7364,
"step": 44
},
{
"epoch": 0.012007704944005737,
"grad_norm": 7.823002338409424,
"learning_rate": 1.2388144172720251e-05,
"loss": 83.3252,
"step": 45
},
{
"epoch": 0.012274542831650309,
"grad_norm": 8.64023494720459,
"learning_rate": 1.1533337816991932e-05,
"loss": 83.6382,
"step": 46
},
{
"epoch": 0.01254138071929488,
"grad_norm": 7.904877185821533,
"learning_rate": 1.0864662381854632e-05,
"loss": 84.5418,
"step": 47
},
{
"epoch": 0.012808218606939453,
"grad_norm": 10.810150146484375,
"learning_rate": 1.0384981238178534e-05,
"loss": 85.2486,
"step": 48
},
{
"epoch": 0.013075056494584025,
"grad_norm": 17.670724868774414,
"learning_rate": 1.0096348454262845e-05,
"loss": 87.8722,
"step": 49
},
{
"epoch": 0.013341894382228596,
"grad_norm": 50.694305419921875,
"learning_rate": 1e-05,
"loss": 99.3798,
"step": 50
},
{
"epoch": 0.013341894382228596,
"eval_loss": 2.659498691558838,
"eval_runtime": 2.9744,
"eval_samples_per_second": 16.81,
"eval_steps_per_second": 4.371,
"step": 50
}
],
"logging_steps": 1,
"max_steps": 50,
"num_input_tokens_seen": 0,
"num_train_epochs": 1,
"save_steps": 25,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 5.259156315439104e+17,
"train_batch_size": 1,
"trial_name": null,
"trial_params": null
}