t5_large-qg-aas / trainer_state.json
tiagoblima's picture
End of training
0740c4e
raw
history blame contribute delete
No virus
6.53 kB
{
"best_metric": 4.920841693878174,
"best_model_checkpoint": "/temp/t5_large-qg-aas/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": 8.255,
"step": 100
},
{
"epoch": 0.25,
"learning_rate": 0.004752475247524752,
"loss": 7.7513,
"step": 200
},
{
"epoch": 0.37,
"learning_rate": 0.004628712871287129,
"loss": 7.3605,
"step": 300
},
{
"epoch": 0.5,
"learning_rate": 0.0045049504950495055,
"loss": 6.9477,
"step": 400
},
{
"epoch": 0.62,
"learning_rate": 0.004381188118811882,
"loss": 6.6129,
"step": 500
},
{
"epoch": 0.74,
"learning_rate": 0.004257425742574258,
"loss": 6.3982,
"step": 600
},
{
"epoch": 0.87,
"learning_rate": 0.004133663366336634,
"loss": 6.21,
"step": 700
},
{
"epoch": 0.99,
"learning_rate": 0.00400990099009901,
"loss": 6.0267,
"step": 800
},
{
"epoch": 1.0,
"eval_loss": 6.659945964813232,
"eval_runtime": 376.485,
"eval_samples_per_second": 16.829,
"eval_steps_per_second": 4.207,
"step": 808
},
{
"epoch": 1.11,
"learning_rate": 0.0038861386138613866,
"loss": 5.8692,
"step": 900
},
{
"epoch": 1.24,
"learning_rate": 0.0037623762376237627,
"loss": 5.7257,
"step": 1000
},
{
"epoch": 1.36,
"learning_rate": 0.0036386138613861384,
"loss": 5.6055,
"step": 1100
},
{
"epoch": 1.49,
"learning_rate": 0.0035148514851485145,
"loss": 5.5391,
"step": 1200
},
{
"epoch": 1.61,
"learning_rate": 0.0033910891089108915,
"loss": 5.4305,
"step": 1300
},
{
"epoch": 1.73,
"learning_rate": 0.0032673267326732676,
"loss": 5.3122,
"step": 1400
},
{
"epoch": 1.86,
"learning_rate": 0.0031435643564356438,
"loss": 5.2203,
"step": 1500
},
{
"epoch": 1.98,
"learning_rate": 0.00301980198019802,
"loss": 5.1565,
"step": 1600
},
{
"epoch": 2.0,
"eval_loss": 5.7159342765808105,
"eval_runtime": 376.643,
"eval_samples_per_second": 16.822,
"eval_steps_per_second": 4.206,
"step": 1616
},
{
"epoch": 2.1,
"learning_rate": 0.002896039603960396,
"loss": 5.089,
"step": 1700
},
{
"epoch": 2.23,
"learning_rate": 0.0027722772277227726,
"loss": 5.0222,
"step": 1800
},
{
"epoch": 2.35,
"learning_rate": 0.0026485148514851487,
"loss": 4.9386,
"step": 1900
},
{
"epoch": 2.48,
"learning_rate": 0.002524752475247525,
"loss": 4.9159,
"step": 2000
},
{
"epoch": 2.6,
"learning_rate": 0.002400990099009901,
"loss": 4.8625,
"step": 2100
},
{
"epoch": 2.72,
"learning_rate": 0.0022772277227722775,
"loss": 4.8144,
"step": 2200
},
{
"epoch": 2.85,
"learning_rate": 0.0021534653465346536,
"loss": 4.7834,
"step": 2300
},
{
"epoch": 2.97,
"learning_rate": 0.0020297029702970298,
"loss": 4.7181,
"step": 2400
},
{
"epoch": 3.0,
"eval_loss": 5.232069969177246,
"eval_runtime": 376.6892,
"eval_samples_per_second": 16.82,
"eval_steps_per_second": 4.205,
"step": 2424
},
{
"epoch": 3.09,
"learning_rate": 0.0019059405940594061,
"loss": 4.6885,
"step": 2500
},
{
"epoch": 3.22,
"learning_rate": 0.001782178217821782,
"loss": 4.6165,
"step": 2600
},
{
"epoch": 3.34,
"learning_rate": 0.0016584158415841586,
"loss": 4.6107,
"step": 2700
},
{
"epoch": 3.47,
"learning_rate": 0.0015346534653465347,
"loss": 4.6151,
"step": 2800
},
{
"epoch": 3.59,
"learning_rate": 0.0014108910891089108,
"loss": 4.5901,
"step": 2900
},
{
"epoch": 3.71,
"learning_rate": 0.0012871287128712872,
"loss": 4.5491,
"step": 3000
},
{
"epoch": 3.84,
"learning_rate": 0.0011633663366336635,
"loss": 4.5226,
"step": 3100
},
{
"epoch": 3.96,
"learning_rate": 0.0010396039603960397,
"loss": 4.4869,
"step": 3200
},
{
"epoch": 4.0,
"eval_loss": 4.993112087249756,
"eval_runtime": 376.67,
"eval_samples_per_second": 16.821,
"eval_steps_per_second": 4.205,
"step": 3232
},
{
"epoch": 4.08,
"learning_rate": 0.0009158415841584158,
"loss": 4.488,
"step": 3300
},
{
"epoch": 4.21,
"learning_rate": 0.0007920792079207921,
"loss": 4.439,
"step": 3400
},
{
"epoch": 4.33,
"learning_rate": 0.0006683168316831684,
"loss": 4.4646,
"step": 3500
},
{
"epoch": 4.46,
"learning_rate": 0.0005445544554455446,
"loss": 4.4349,
"step": 3600
},
{
"epoch": 4.58,
"learning_rate": 0.00042079207920792084,
"loss": 4.4324,
"step": 3700
},
{
"epoch": 4.7,
"learning_rate": 0.000297029702970297,
"loss": 4.4065,
"step": 3800
},
{
"epoch": 4.83,
"learning_rate": 0.00017326732673267329,
"loss": 4.4521,
"step": 3900
},
{
"epoch": 4.95,
"learning_rate": 4.950495049504951e-05,
"loss": 4.4539,
"step": 4000
},
{
"epoch": 5.0,
"eval_loss": 4.920841693878174,
"eval_runtime": 376.9996,
"eval_samples_per_second": 16.806,
"eval_steps_per_second": 4.202,
"step": 4040
},
{
"epoch": 5.0,
"step": 4040,
"total_flos": 4.4078196477394944e+17,
"train_loss": 5.262420518327468,
"train_runtime": 15953.0007,
"train_samples_per_second": 16.205,
"train_steps_per_second": 0.253
}
],
"logging_steps": 100,
"max_steps": 4040,
"num_train_epochs": 5,
"save_steps": 500,
"total_flos": 4.4078196477394944e+17,
"trial_name": null,
"trial_params": null
}