metamath's picture
Training in progress, step 500
b5832e8 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": 0.6738709677419354,
"eval_loss": 0.40543094277381897,
"eval_runtime": 1.5192,
"eval_samples_per_second": 2040.5,
"eval_steps_per_second": 42.785,
"step": 318
},
{
"epoch": 1.57,
"learning_rate": 1.685534591194969e-05,
"loss": 0.6402,
"step": 500
},
{
"epoch": 2.0,
"eval_accuracy": 0.8451612903225807,
"eval_loss": 0.1374775767326355,
"eval_runtime": 1.4813,
"eval_samples_per_second": 2092.755,
"eval_steps_per_second": 43.88,
"step": 636
},
{
"epoch": 3.0,
"eval_accuracy": 0.8964516129032258,
"eval_loss": 0.06959949433803558,
"eval_runtime": 1.4706,
"eval_samples_per_second": 2107.994,
"eval_steps_per_second": 44.2,
"step": 954
},
{
"epoch": 3.14,
"learning_rate": 1.371069182389937e-05,
"loss": 0.1606,
"step": 1000
},
{
"epoch": 4.0,
"eval_accuracy": 0.9161290322580645,
"eval_loss": 0.05019702389836311,
"eval_runtime": 1.469,
"eval_samples_per_second": 2110.305,
"eval_steps_per_second": 44.248,
"step": 1272
},
{
"epoch": 4.72,
"learning_rate": 1.0566037735849058e-05,
"loss": 0.0795,
"step": 1500
},
{
"epoch": 5.0,
"eval_accuracy": 0.9251612903225807,
"eval_loss": 0.0416053868830204,
"eval_runtime": 1.4758,
"eval_samples_per_second": 2100.597,
"eval_steps_per_second": 44.045,
"step": 1590
},
{
"epoch": 6.0,
"eval_accuracy": 0.9287096774193548,
"eval_loss": 0.03693937882781029,
"eval_runtime": 1.4766,
"eval_samples_per_second": 2099.377,
"eval_steps_per_second": 44.019,
"step": 1908
},
{
"epoch": 6.29,
"learning_rate": 7.421383647798742e-06,
"loss": 0.06,
"step": 2000
},
{
"epoch": 7.0,
"eval_accuracy": 0.9306451612903226,
"eval_loss": 0.034136172384023666,
"eval_runtime": 1.4764,
"eval_samples_per_second": 2099.651,
"eval_steps_per_second": 44.025,
"step": 2226
},
{
"epoch": 7.86,
"learning_rate": 4.276729559748428e-06,
"loss": 0.0515,
"step": 2500
},
{
"epoch": 8.0,
"eval_accuracy": 0.9335483870967742,
"eval_loss": 0.03264344111084938,
"eval_runtime": 1.4776,
"eval_samples_per_second": 2098.02,
"eval_steps_per_second": 43.991,
"step": 2544
},
{
"epoch": 9.0,
"eval_accuracy": 0.9361290322580645,
"eval_loss": 0.031439587473869324,
"eval_runtime": 1.4731,
"eval_samples_per_second": 2104.45,
"eval_steps_per_second": 44.126,
"step": 2862
},
{
"epoch": 9.43,
"learning_rate": 1.1320754716981133e-06,
"loss": 0.0478,
"step": 3000
}
],
"logging_steps": 500,
"max_steps": 3180,
"num_input_tokens_seen": 0,
"num_train_epochs": 10,
"save_steps": 500,
"total_flos": 922119378435360.0,
"train_batch_size": 48,
"trial_name": null,
"trial_params": {
"alpha": 0.6113798620723033,
"num_train_epochs": 10,
"temperature": 2
}
}