gpt2-tdk / trainer_state.json
TrLOX's picture
Update from
ff265b2
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 10.0,
"global_step": 31910,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.16,
"learning_rate": 4.9216546537135696e-05,
"loss": 3.1564,
"step": 500
},
{
"epoch": 0.31,
"learning_rate": 4.843309307427139e-05,
"loss": 2.8629,
"step": 1000
},
{
"epoch": 0.47,
"learning_rate": 4.764963961140708e-05,
"loss": 2.7321,
"step": 1500
},
{
"epoch": 0.63,
"learning_rate": 4.6866186148542776e-05,
"loss": 2.657,
"step": 2000
},
{
"epoch": 0.78,
"learning_rate": 4.608273268567847e-05,
"loss": 2.6045,
"step": 2500
},
{
"epoch": 0.94,
"learning_rate": 4.529927922281417e-05,
"loss": 2.5492,
"step": 3000
},
{
"epoch": 1.1,
"learning_rate": 4.4515825759949856e-05,
"loss": 2.5043,
"step": 3500
},
{
"epoch": 1.25,
"learning_rate": 4.3732372297085556e-05,
"loss": 2.4617,
"step": 4000
},
{
"epoch": 1.41,
"learning_rate": 4.294891883422125e-05,
"loss": 2.4395,
"step": 4500
},
{
"epoch": 1.57,
"learning_rate": 4.216546537135694e-05,
"loss": 2.4319,
"step": 5000
},
{
"epoch": 1.72,
"learning_rate": 4.1382011908492636e-05,
"loss": 2.3865,
"step": 5500
},
{
"epoch": 1.88,
"learning_rate": 4.059855844562833e-05,
"loss": 2.3805,
"step": 6000
},
{
"epoch": 2.04,
"learning_rate": 3.981510498276402e-05,
"loss": 2.3441,
"step": 6500
},
{
"epoch": 2.19,
"learning_rate": 3.903165151989972e-05,
"loss": 2.3244,
"step": 7000
},
{
"epoch": 2.35,
"learning_rate": 3.824819805703541e-05,
"loss": 2.3225,
"step": 7500
},
{
"epoch": 2.51,
"learning_rate": 3.746474459417111e-05,
"loss": 2.2977,
"step": 8000
},
{
"epoch": 2.66,
"learning_rate": 3.66812911313068e-05,
"loss": 2.2783,
"step": 8500
},
{
"epoch": 2.82,
"learning_rate": 3.5897837668442496e-05,
"loss": 2.2706,
"step": 9000
},
{
"epoch": 2.98,
"learning_rate": 3.511438420557819e-05,
"loss": 2.26,
"step": 9500
},
{
"epoch": 3.13,
"learning_rate": 3.433093074271388e-05,
"loss": 2.2494,
"step": 10000
},
{
"epoch": 3.29,
"learning_rate": 3.3547477279849576e-05,
"loss": 2.2223,
"step": 10500
},
{
"epoch": 3.45,
"learning_rate": 3.2764023816985276e-05,
"loss": 2.2247,
"step": 11000
},
{
"epoch": 3.6,
"learning_rate": 3.198057035412096e-05,
"loss": 2.223,
"step": 11500
},
{
"epoch": 3.76,
"learning_rate": 3.119711689125666e-05,
"loss": 2.1946,
"step": 12000
},
{
"epoch": 3.92,
"learning_rate": 3.0413663428392353e-05,
"loss": 2.2036,
"step": 12500
},
{
"epoch": 4.07,
"learning_rate": 2.963020996552805e-05,
"loss": 2.1822,
"step": 13000
},
{
"epoch": 4.23,
"learning_rate": 2.884675650266374e-05,
"loss": 2.1706,
"step": 13500
},
{
"epoch": 4.39,
"learning_rate": 2.8063303039799436e-05,
"loss": 2.1655,
"step": 14000
},
{
"epoch": 4.54,
"learning_rate": 2.727984957693513e-05,
"loss": 2.1517,
"step": 14500
},
{
"epoch": 4.7,
"learning_rate": 2.6496396114070827e-05,
"loss": 2.1619,
"step": 15000
},
{
"epoch": 4.86,
"learning_rate": 2.5712942651206517e-05,
"loss": 2.1518,
"step": 15500
},
{
"epoch": 5.01,
"learning_rate": 2.4929489188342213e-05,
"loss": 2.1542,
"step": 16000
},
{
"epoch": 5.17,
"learning_rate": 2.414603572547791e-05,
"loss": 2.1407,
"step": 16500
},
{
"epoch": 5.33,
"learning_rate": 2.3362582262613603e-05,
"loss": 2.1297,
"step": 17000
},
{
"epoch": 5.48,
"learning_rate": 2.2579128799749297e-05,
"loss": 2.1235,
"step": 17500
},
{
"epoch": 5.64,
"learning_rate": 2.179567533688499e-05,
"loss": 2.1185,
"step": 18000
},
{
"epoch": 5.8,
"learning_rate": 2.1012221874020683e-05,
"loss": 2.1085,
"step": 18500
},
{
"epoch": 5.95,
"learning_rate": 2.022876841115638e-05,
"loss": 2.1073,
"step": 19000
},
{
"epoch": 6.11,
"learning_rate": 1.9445314948292073e-05,
"loss": 2.0961,
"step": 19500
},
{
"epoch": 6.27,
"learning_rate": 1.8661861485427767e-05,
"loss": 2.0912,
"step": 20000
},
{
"epoch": 6.42,
"learning_rate": 1.787840802256346e-05,
"loss": 2.0957,
"step": 20500
},
{
"epoch": 6.58,
"learning_rate": 1.7094954559699157e-05,
"loss": 2.0874,
"step": 21000
},
{
"epoch": 6.74,
"learning_rate": 1.631150109683485e-05,
"loss": 2.0912,
"step": 21500
},
{
"epoch": 6.89,
"learning_rate": 1.5528047633970544e-05,
"loss": 2.0849,
"step": 22000
},
{
"epoch": 7.05,
"learning_rate": 1.4744594171106239e-05,
"loss": 2.0867,
"step": 22500
},
{
"epoch": 7.21,
"learning_rate": 1.3961140708241932e-05,
"loss": 2.0729,
"step": 23000
},
{
"epoch": 7.36,
"learning_rate": 1.3177687245377627e-05,
"loss": 2.0824,
"step": 23500
},
{
"epoch": 7.52,
"learning_rate": 1.2394233782513319e-05,
"loss": 2.0678,
"step": 24000
},
{
"epoch": 7.68,
"learning_rate": 1.1610780319649014e-05,
"loss": 2.0553,
"step": 24500
},
{
"epoch": 7.83,
"learning_rate": 1.0827326856784707e-05,
"loss": 2.0678,
"step": 25000
},
{
"epoch": 7.99,
"learning_rate": 1.0043873393920402e-05,
"loss": 2.0624,
"step": 25500
},
{
"epoch": 8.15,
"learning_rate": 9.260419931056095e-06,
"loss": 2.0681,
"step": 26000
},
{
"epoch": 8.3,
"learning_rate": 8.476966468191789e-06,
"loss": 2.0587,
"step": 26500
},
{
"epoch": 8.46,
"learning_rate": 7.693513005327484e-06,
"loss": 2.0504,
"step": 27000
},
{
"epoch": 8.62,
"learning_rate": 6.910059542463178e-06,
"loss": 2.0483,
"step": 27500
},
{
"epoch": 8.77,
"learning_rate": 6.126606079598872e-06,
"loss": 2.0504,
"step": 28000
},
{
"epoch": 8.93,
"learning_rate": 5.3431526167345665e-06,
"loss": 2.0539,
"step": 28500
},
{
"epoch": 9.09,
"learning_rate": 4.55969915387026e-06,
"loss": 2.0507,
"step": 29000
},
{
"epoch": 9.24,
"learning_rate": 3.7762456910059544e-06,
"loss": 2.0396,
"step": 29500
},
{
"epoch": 9.4,
"learning_rate": 2.9927922281416486e-06,
"loss": 2.0538,
"step": 30000
},
{
"epoch": 9.56,
"learning_rate": 2.2093387652773424e-06,
"loss": 2.0514,
"step": 30500
},
{
"epoch": 9.71,
"learning_rate": 1.4258853024130368e-06,
"loss": 2.0394,
"step": 31000
},
{
"epoch": 9.87,
"learning_rate": 6.424318395487308e-07,
"loss": 2.048,
"step": 31500
},
{
"epoch": 10.0,
"step": 31910,
"total_flos": 1.667595862278144e+16,
"train_loss": 2.2214493739870194,
"train_runtime": 13454.7366,
"train_samples_per_second": 37.944,
"train_steps_per_second": 2.372
}
],
"max_steps": 31910,
"num_train_epochs": 10,
"total_flos": 1.667595862278144e+16,
"trial_name": null,
"trial_params": null
}