t5_small-qg-aap / trainer_state.json
tiagoblima's picture
End of training
2921d5c
{
"best_metric": 6.510499000549316,
"best_model_checkpoint": "/temp/t5_small-qg-aap/checkpoint-4040",
"epoch": 5.0,
"eval_steps": 500,
"global_step": 4040,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.12,
"learning_rate": 0.004876237623762376,
"loss": 8.0829,
"step": 100
},
{
"epoch": 0.25,
"learning_rate": 0.004752475247524752,
"loss": 7.6287,
"step": 200
},
{
"epoch": 0.37,
"learning_rate": 0.004628712871287129,
"loss": 7.3201,
"step": 300
},
{
"epoch": 0.5,
"learning_rate": 0.0045049504950495055,
"loss": 7.066,
"step": 400
},
{
"epoch": 0.62,
"learning_rate": 0.004381188118811882,
"loss": 6.8463,
"step": 500
},
{
"epoch": 0.74,
"learning_rate": 0.004257425742574258,
"loss": 6.696,
"step": 600
},
{
"epoch": 0.87,
"learning_rate": 0.004133663366336634,
"loss": 6.5656,
"step": 700
},
{
"epoch": 0.99,
"learning_rate": 0.00400990099009901,
"loss": 6.4555,
"step": 800
},
{
"epoch": 1.0,
"eval_loss": 8.181524276733398,
"eval_runtime": 87.6052,
"eval_samples_per_second": 101.238,
"eval_steps_per_second": 25.318,
"step": 808
},
{
"epoch": 1.11,
"learning_rate": 0.0038861386138613866,
"loss": 6.3186,
"step": 900
},
{
"epoch": 1.24,
"learning_rate": 0.0037623762376237627,
"loss": 6.2484,
"step": 1000
},
{
"epoch": 1.36,
"learning_rate": 0.0036386138613861384,
"loss": 6.1225,
"step": 1100
},
{
"epoch": 1.49,
"learning_rate": 0.0035148514851485145,
"loss": 6.0828,
"step": 1200
},
{
"epoch": 1.61,
"learning_rate": 0.0033910891089108915,
"loss": 5.9965,
"step": 1300
},
{
"epoch": 1.73,
"learning_rate": 0.0032673267326732676,
"loss": 5.888,
"step": 1400
},
{
"epoch": 1.86,
"learning_rate": 0.0031435643564356438,
"loss": 5.8093,
"step": 1500
},
{
"epoch": 1.98,
"learning_rate": 0.00301980198019802,
"loss": 5.7684,
"step": 1600
},
{
"epoch": 2.0,
"eval_loss": 7.345946788787842,
"eval_runtime": 87.5869,
"eval_samples_per_second": 101.259,
"eval_steps_per_second": 25.323,
"step": 1616
},
{
"epoch": 2.1,
"learning_rate": 0.002896039603960396,
"loss": 5.6732,
"step": 1700
},
{
"epoch": 2.23,
"learning_rate": 0.0027722772277227726,
"loss": 5.6518,
"step": 1800
},
{
"epoch": 2.35,
"learning_rate": 0.0026485148514851487,
"loss": 5.5807,
"step": 1900
},
{
"epoch": 2.48,
"learning_rate": 0.002524752475247525,
"loss": 5.5466,
"step": 2000
},
{
"epoch": 2.6,
"learning_rate": 0.002400990099009901,
"loss": 5.5098,
"step": 2100
},
{
"epoch": 2.72,
"learning_rate": 0.0022772277227722775,
"loss": 5.462,
"step": 2200
},
{
"epoch": 2.85,
"learning_rate": 0.0021534653465346536,
"loss": 5.4502,
"step": 2300
},
{
"epoch": 2.97,
"learning_rate": 0.0020297029702970298,
"loss": 5.3707,
"step": 2400
},
{
"epoch": 3.0,
"eval_loss": 6.852190971374512,
"eval_runtime": 87.7618,
"eval_samples_per_second": 101.058,
"eval_steps_per_second": 25.273,
"step": 2424
},
{
"epoch": 3.09,
"learning_rate": 0.0019059405940594061,
"loss": 5.3459,
"step": 2500
},
{
"epoch": 3.22,
"learning_rate": 0.001782178217821782,
"loss": 5.3014,
"step": 2600
},
{
"epoch": 3.34,
"learning_rate": 0.0016584158415841586,
"loss": 5.3001,
"step": 2700
},
{
"epoch": 3.47,
"learning_rate": 0.0015346534653465347,
"loss": 5.2818,
"step": 2800
},
{
"epoch": 3.59,
"learning_rate": 0.0014108910891089108,
"loss": 5.23,
"step": 2900
},
{
"epoch": 3.71,
"learning_rate": 0.0012871287128712872,
"loss": 5.185,
"step": 3000
},
{
"epoch": 3.84,
"learning_rate": 0.0011633663366336635,
"loss": 5.176,
"step": 3100
},
{
"epoch": 3.96,
"learning_rate": 0.0010396039603960397,
"loss": 5.1609,
"step": 3200
},
{
"epoch": 4.0,
"eval_loss": 6.593112945556641,
"eval_runtime": 87.448,
"eval_samples_per_second": 101.42,
"eval_steps_per_second": 25.364,
"step": 3232
},
{
"epoch": 4.08,
"learning_rate": 0.0009158415841584158,
"loss": 5.1834,
"step": 3300
},
{
"epoch": 4.21,
"learning_rate": 0.0007920792079207921,
"loss": 5.1021,
"step": 3400
},
{
"epoch": 4.33,
"learning_rate": 0.0006683168316831684,
"loss": 5.1443,
"step": 3500
},
{
"epoch": 4.46,
"learning_rate": 0.0005445544554455446,
"loss": 5.0904,
"step": 3600
},
{
"epoch": 4.58,
"learning_rate": 0.00042079207920792084,
"loss": 5.0949,
"step": 3700
},
{
"epoch": 4.7,
"learning_rate": 0.000297029702970297,
"loss": 5.0856,
"step": 3800
},
{
"epoch": 4.83,
"learning_rate": 0.00017326732673267329,
"loss": 5.1251,
"step": 3900
},
{
"epoch": 4.95,
"learning_rate": 4.950495049504951e-05,
"loss": 5.1034,
"step": 4000
},
{
"epoch": 5.0,
"eval_loss": 6.510499000549316,
"eval_runtime": 87.5193,
"eval_samples_per_second": 101.338,
"eval_steps_per_second": 25.343,
"step": 4040
},
{
"epoch": 5.0,
"step": 4040,
"total_flos": 3.621491878920192e+16,
"train_loss": 5.794503840833607,
"train_runtime": 2995.2119,
"train_samples_per_second": 86.311,
"train_steps_per_second": 1.349
}
],
"logging_steps": 100,
"max_steps": 4040,
"num_train_epochs": 5,
"save_steps": 500,
"total_flos": 3.621491878920192e+16,
"trial_name": null,
"trial_params": null
}