thomnis's picture
Training in progress, step 3180
123a255 verified
raw
history blame
4.92 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 10.0,
"eval_steps": 500,
"global_step": 3180,
"is_hyper_param_search": true,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.9968553459119497,
"grad_norm": 0.6745762825012207,
"learning_rate": 2.7360787331269834e-05,
"loss": 0.357,
"step": 317
},
{
"epoch": 1.0,
"eval_accuracy": 0.7412903225806452,
"eval_loss": 0.14044521749019623,
"eval_runtime": 5.4763,
"eval_samples_per_second": 566.072,
"eval_steps_per_second": 11.869,
"step": 318
},
{
"epoch": 1.9937106918238994,
"grad_norm": 0.4204491376876831,
"learning_rate": 2.433131838819874e-05,
"loss": 0.1207,
"step": 634
},
{
"epoch": 2.0,
"eval_accuracy": 0.8770967741935484,
"eval_loss": 0.06287968158721924,
"eval_runtime": 5.5283,
"eval_samples_per_second": 560.754,
"eval_steps_per_second": 11.758,
"step": 636
},
{
"epoch": 2.990566037735849,
"grad_norm": 0.4077504873275757,
"learning_rate": 2.130184944512765e-05,
"loss": 0.0718,
"step": 951
},
{
"epoch": 3.0,
"eval_accuracy": 0.9116129032258065,
"eval_loss": 0.04054585471749306,
"eval_runtime": 5.4053,
"eval_samples_per_second": 573.506,
"eval_steps_per_second": 12.025,
"step": 954
},
{
"epoch": 3.9874213836477987,
"grad_norm": 0.2433169037103653,
"learning_rate": 1.8272380502056557e-05,
"loss": 0.0534,
"step": 1268
},
{
"epoch": 4.0,
"eval_accuracy": 0.9274193548387096,
"eval_loss": 0.03159501776099205,
"eval_runtime": 5.4668,
"eval_samples_per_second": 567.056,
"eval_steps_per_second": 11.89,
"step": 1272
},
{
"epoch": 4.984276729559748,
"grad_norm": 0.21281147003173828,
"learning_rate": 1.5242911558985466e-05,
"loss": 0.0442,
"step": 1585
},
{
"epoch": 5.0,
"eval_accuracy": 0.9309677419354838,
"eval_loss": 0.02665688283741474,
"eval_runtime": 5.5204,
"eval_samples_per_second": 561.552,
"eval_steps_per_second": 11.774,
"step": 1590
},
{
"epoch": 5.981132075471698,
"grad_norm": 0.23512092232704163,
"learning_rate": 1.2213442615914374e-05,
"loss": 0.0389,
"step": 1902
},
{
"epoch": 6.0,
"eval_accuracy": 0.9329032258064516,
"eval_loss": 0.024243181571364403,
"eval_runtime": 5.4419,
"eval_samples_per_second": 569.649,
"eval_steps_per_second": 11.944,
"step": 1908
},
{
"epoch": 6.977987421383648,
"grad_norm": 0.2756204605102539,
"learning_rate": 9.18397367284328e-06,
"loss": 0.0356,
"step": 2219
},
{
"epoch": 7.0,
"eval_accuracy": 0.9361290322580645,
"eval_loss": 0.02270686812698841,
"eval_runtime": 5.4205,
"eval_samples_per_second": 571.9,
"eval_steps_per_second": 11.991,
"step": 2226
},
{
"epoch": 7.9748427672955975,
"grad_norm": 0.1520700752735138,
"learning_rate": 6.154504729772188e-06,
"loss": 0.0336,
"step": 2536
},
{
"epoch": 8.0,
"eval_accuracy": 0.9354838709677419,
"eval_loss": 0.021294621750712395,
"eval_runtime": 5.4685,
"eval_samples_per_second": 566.883,
"eval_steps_per_second": 11.886,
"step": 2544
},
{
"epoch": 8.971698113207546,
"grad_norm": 0.2087375968694687,
"learning_rate": 3.1250357867010953e-06,
"loss": 0.0322,
"step": 2853
},
{
"epoch": 9.0,
"eval_accuracy": 0.9354838709677419,
"eval_loss": 0.020687058568000793,
"eval_runtime": 5.4663,
"eval_samples_per_second": 567.112,
"eval_steps_per_second": 11.891,
"step": 2862
},
{
"epoch": 9.968553459119496,
"grad_norm": 0.14469225704669952,
"learning_rate": 9.556684363000292e-08,
"loss": 0.0314,
"step": 3170
}
],
"logging_steps": 317,
"max_steps": 3180,
"num_input_tokens_seen": 0,
"num_train_epochs": 10,
"save_steps": 1000000000.0,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 825254092458012.0,
"train_batch_size": 48,
"trial_name": null,
"trial_params": {
"alpha": 0.0478722237588074,
"learning_rate": 3.0390256274340926e-05,
"lr_scheduler_type": "linear",
"num_train_epochs": 10,
"temperature": 7.533742821161418,
"weight_decay": 0.25236012891933407
}
}