AlekseyKorshuk's picture
End of training
9c0c911
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 15.0,
"global_step": 1185,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.01,
"learning_rate": 9e-07,
"loss": 2.5593,
"perplexity": 12.926765411958069,
"step": 1
},
{
"epoch": 1.0,
"learning_rate": 9e-07,
"loss": 2.5731,
"perplexity": 13.1063913429122,
"step": 79
},
{
"epoch": 1.0,
"eval_accuracy": 0.03165881737310309,
"eval_loss": 2.611328125,
"eval_perplexity": 13.617124090346826,
"eval_runtime": 4.9176,
"eval_samples_per_second": 15.861,
"eval_steps_per_second": 0.61,
"step": 79
},
{
"epoch": 2.0,
"learning_rate": 9e-07,
"loss": 2.206,
"perplexity": 9.079326356062138,
"step": 158
},
{
"epoch": 2.0,
"eval_accuracy": 0.032757718472004184,
"eval_loss": 2.48046875,
"eval_perplexity": 11.946863197656471,
"eval_runtime": 5.4813,
"eval_samples_per_second": 14.23,
"eval_steps_per_second": 0.547,
"step": 158
},
{
"epoch": 3.0,
"learning_rate": 9e-07,
"loss": 1.9105,
"perplexity": 6.7564661872073595,
"step": 237
},
{
"epoch": 3.0,
"eval_accuracy": 0.03333333333333333,
"eval_loss": 2.451171875,
"eval_perplexity": 11.601934773230344,
"eval_runtime": 5.243,
"eval_samples_per_second": 14.877,
"eval_steps_per_second": 0.572,
"step": 237
},
{
"epoch": 4.0,
"learning_rate": 9e-07,
"loss": 1.6301,
"perplexity": 5.1043851315288045,
"step": 316
},
{
"epoch": 4.0,
"eval_accuracy": 0.03453689167974882,
"eval_loss": 2.5078125,
"eval_perplexity": 12.278042445054236,
"eval_runtime": 5.4311,
"eval_samples_per_second": 14.362,
"eval_steps_per_second": 0.552,
"step": 316
},
{
"epoch": 5.0,
"learning_rate": 9e-07,
"loss": 1.3733,
"perplexity": 3.948358804340304,
"step": 395
},
{
"epoch": 5.0,
"eval_accuracy": 0.034170591313448455,
"eval_loss": 2.681640625,
"eval_perplexity": 14.609041604294383,
"eval_runtime": 5.246,
"eval_samples_per_second": 14.868,
"eval_steps_per_second": 0.572,
"step": 395
},
{
"epoch": 6.0,
"learning_rate": 9e-07,
"loss": 1.1337,
"perplexity": 3.107131645102156,
"step": 474
},
{
"epoch": 6.0,
"eval_accuracy": 0.033019361590790164,
"eval_loss": 3.0078125,
"eval_perplexity": 20.24306974171993,
"eval_runtime": 5.3369,
"eval_samples_per_second": 14.615,
"eval_steps_per_second": 0.562,
"step": 474
},
{
"epoch": 7.0,
"learning_rate": 9e-07,
"loss": 0.9619,
"perplexity": 2.616663413821779,
"step": 553
},
{
"epoch": 7.0,
"eval_accuracy": 0.033019361590790164,
"eval_loss": 3.177734375,
"eval_perplexity": 23.992334296139543,
"eval_runtime": 5.4368,
"eval_samples_per_second": 14.347,
"eval_steps_per_second": 0.552,
"step": 553
},
{
"epoch": 8.0,
"learning_rate": 9e-07,
"loss": 0.798,
"perplexity": 2.221094294751435,
"step": 632
},
{
"epoch": 8.0,
"eval_accuracy": 0.033019361590790164,
"eval_loss": 3.255859375,
"eval_perplexity": 25.94189877662824,
"eval_runtime": 5.543,
"eval_samples_per_second": 14.072,
"eval_steps_per_second": 0.541,
"step": 632
},
{
"epoch": 9.0,
"learning_rate": 9e-07,
"loss": 0.6653,
"perplexity": 1.9450739560040564,
"step": 711
},
{
"epoch": 9.0,
"eval_accuracy": 0.033124018838304556,
"eval_loss": 3.427734375,
"eval_perplexity": 30.806767041912167,
"eval_runtime": 5.6032,
"eval_samples_per_second": 13.921,
"eval_steps_per_second": 0.535,
"step": 711
},
{
"epoch": 10.0,
"learning_rate": 9e-07,
"loss": 0.552,
"perplexity": 1.736722992721326,
"step": 790
},
{
"epoch": 10.0,
"eval_accuracy": 0.03333333333333333,
"eval_loss": 3.556640625,
"eval_perplexity": 35.04526897307925,
"eval_runtime": 5.5592,
"eval_samples_per_second": 14.031,
"eval_steps_per_second": 0.54,
"step": 790
},
{
"epoch": 11.0,
"learning_rate": 9e-07,
"loss": 0.4568,
"perplexity": 1.579013050057063,
"step": 869
},
{
"epoch": 11.0,
"eval_accuracy": 0.032443746729461015,
"eval_loss": 3.732421875,
"eval_perplexity": 41.780172086809024,
"eval_runtime": 5.2356,
"eval_samples_per_second": 14.898,
"eval_steps_per_second": 0.573,
"step": 869
},
{
"epoch": 12.0,
"learning_rate": 9e-07,
"loss": 0.3756,
"perplexity": 1.4558646714178145,
"step": 948
},
{
"epoch": 12.0,
"eval_accuracy": 0.032757718472004184,
"eval_loss": 3.818359375,
"eval_perplexity": 45.529450258314064,
"eval_runtime": 5.3544,
"eval_samples_per_second": 14.568,
"eval_steps_per_second": 0.56,
"step": 948
},
{
"epoch": 13.0,
"learning_rate": 9e-07,
"loss": 0.3119,
"perplexity": 1.3660180843907228,
"step": 1027
},
{
"epoch": 13.0,
"eval_accuracy": 0.033124018838304556,
"eval_loss": 3.84765625,
"eval_perplexity": 46.88305220915621,
"eval_runtime": 5.595,
"eval_samples_per_second": 13.941,
"eval_steps_per_second": 0.536,
"step": 1027
},
{
"epoch": 14.0,
"learning_rate": 9e-07,
"loss": 0.2448,
"perplexity": 1.2773658144929685,
"step": 1106
},
{
"epoch": 14.0,
"eval_accuracy": 0.03291470434327577,
"eval_loss": 3.90625,
"eval_perplexity": 49.71218131735948,
"eval_runtime": 5.2298,
"eval_samples_per_second": 14.915,
"eval_steps_per_second": 0.574,
"step": 1106
},
{
"epoch": 15.0,
"learning_rate": 9e-07,
"loss": 0.1986,
"perplexity": 1.219693990715056,
"step": 1185
},
{
"epoch": 15.0,
"eval_accuracy": 0.032862375719518576,
"eval_loss": 3.943359375,
"eval_perplexity": 51.591626129191596,
"eval_runtime": 5.4333,
"eval_samples_per_second": 14.356,
"eval_steps_per_second": 0.552,
"step": 1185
},
{
"epoch": 15.0,
"step": 1185,
"total_flos": 39797194752000.0,
"train_loss": 1.0260957291357629,
"train_runtime": 32997.9021,
"train_samples_per_second": 0.142,
"train_steps_per_second": 0.036
}
],
"max_steps": 1185,
"num_train_epochs": 15,
"total_flos": 39797194752000.0,
"trial_name": null,
"trial_params": null
}