metamath's picture
Training in progress, step 500
f80f58d verified
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 9.433962264150944,
"eval_steps": 500,
"global_step": 3000,
"is_hyper_param_search": true,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"eval_accuracy": 0.5832258064516129,
"eval_loss": 0.19133226573467255,
"eval_runtime": 1.4535,
"eval_samples_per_second": 2132.847,
"eval_steps_per_second": 44.721,
"step": 318
},
{
"epoch": 1.57,
"learning_rate": 1.685534591194969e-05,
"loss": 0.309,
"step": 500
},
{
"epoch": 2.0,
"eval_accuracy": 0.827741935483871,
"eval_loss": 0.09374182671308517,
"eval_runtime": 1.4509,
"eval_samples_per_second": 2136.594,
"eval_steps_per_second": 44.8,
"step": 636
},
{
"epoch": 3.0,
"eval_accuracy": 0.8790322580645161,
"eval_loss": 0.06333240121603012,
"eval_runtime": 1.4496,
"eval_samples_per_second": 2138.579,
"eval_steps_per_second": 44.841,
"step": 954
},
{
"epoch": 3.14,
"learning_rate": 1.371069182389937e-05,
"loss": 0.1078,
"step": 1000
},
{
"epoch": 4.0,
"eval_accuracy": 0.896774193548387,
"eval_loss": 0.04806679114699364,
"eval_runtime": 1.4589,
"eval_samples_per_second": 2124.857,
"eval_steps_per_second": 44.553,
"step": 1272
},
{
"epoch": 4.72,
"learning_rate": 1.0566037735849058e-05,
"loss": 0.0686,
"step": 1500
},
{
"epoch": 5.0,
"eval_accuracy": 0.9112903225806451,
"eval_loss": 0.0393882654607296,
"eval_runtime": 1.4641,
"eval_samples_per_second": 2117.338,
"eval_steps_per_second": 44.396,
"step": 1590
},
{
"epoch": 6.0,
"eval_accuracy": 0.9167741935483871,
"eval_loss": 0.03456535562872887,
"eval_runtime": 1.4626,
"eval_samples_per_second": 2119.465,
"eval_steps_per_second": 44.44,
"step": 1908
},
{
"epoch": 6.29,
"learning_rate": 7.421383647798742e-06,
"loss": 0.0538,
"step": 2000
},
{
"epoch": 7.0,
"eval_accuracy": 0.9216129032258065,
"eval_loss": 0.030887985602021217,
"eval_runtime": 1.4707,
"eval_samples_per_second": 2107.905,
"eval_steps_per_second": 44.198,
"step": 2226
},
{
"epoch": 7.86,
"learning_rate": 4.276729559748428e-06,
"loss": 0.0464,
"step": 2500
},
{
"epoch": 8.0,
"eval_accuracy": 0.9270967741935484,
"eval_loss": 0.029196659103035927,
"eval_runtime": 1.4685,
"eval_samples_per_second": 2111.062,
"eval_steps_per_second": 44.264,
"step": 2544
},
{
"epoch": 9.0,
"eval_accuracy": 0.9309677419354838,
"eval_loss": 0.028075959533452988,
"eval_runtime": 1.4722,
"eval_samples_per_second": 2105.684,
"eval_steps_per_second": 44.151,
"step": 2862
},
{
"epoch": 9.43,
"learning_rate": 1.1320754716981133e-06,
"loss": 0.0428,
"step": 3000
}
],
"logging_steps": 500,
"max_steps": 3180,
"num_input_tokens_seen": 0,
"num_train_epochs": 10,
"save_steps": 500,
"total_flos": 780331565067432.0,
"train_batch_size": 48,
"trial_name": null,
"trial_params": {
"alpha": 0.3001695987245524,
"num_train_epochs": 10,
"temperature": 17
}
}