indo-t5-base / trainer_state.json
w11wo's picture
End of training
ec2c292
raw
history blame contribute delete
No virus
7.86 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 38.2043935052531,
"global_step": 5000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.76,
"learning_rate": 0.00016,
"loss": 9.8321,
"step": 100
},
{
"epoch": 1.53,
"learning_rate": 0.00032,
"loss": 4.0687,
"step": 200
},
{
"epoch": 2.29,
"learning_rate": 0.00048,
"loss": 2.9707,
"step": 300
},
{
"epoch": 3.06,
"learning_rate": 0.00064,
"loss": 2.5203,
"step": 400
},
{
"epoch": 3.82,
"learning_rate": 0.0008,
"loss": 2.2282,
"step": 500
},
{
"epoch": 4.58,
"learning_rate": 0.0007822222222222222,
"loss": 2.0162,
"step": 600
},
{
"epoch": 5.35,
"learning_rate": 0.0007644444444444445,
"loss": 1.8634,
"step": 700
},
{
"epoch": 6.11,
"learning_rate": 0.0007466666666666667,
"loss": 1.7508,
"step": 800
},
{
"epoch": 6.88,
"learning_rate": 0.0007288888888888889,
"loss": 1.6579,
"step": 900
},
{
"epoch": 7.64,
"learning_rate": 0.0007111111111111111,
"loss": 1.5774,
"step": 1000
},
{
"epoch": 7.64,
"eval_bleu": 3.3312,
"eval_gen_len": 18.8762,
"eval_loss": 1.546088695526123,
"eval_runtime": 341.773,
"eval_samples_per_second": 223.804,
"eval_steps_per_second": 1.75,
"step": 1000
},
{
"epoch": 8.4,
"learning_rate": 0.0006933333333333333,
"loss": 1.5111,
"step": 1100
},
{
"epoch": 9.17,
"learning_rate": 0.0006755555555555555,
"loss": 1.4553,
"step": 1200
},
{
"epoch": 9.93,
"learning_rate": 0.0006577777777777777,
"loss": 1.4026,
"step": 1300
},
{
"epoch": 10.7,
"learning_rate": 0.00064,
"loss": 1.3509,
"step": 1400
},
{
"epoch": 11.46,
"learning_rate": 0.0006222222222222223,
"loss": 1.3105,
"step": 1500
},
{
"epoch": 12.23,
"learning_rate": 0.0006044444444444445,
"loss": 1.2714,
"step": 1600
},
{
"epoch": 12.99,
"learning_rate": 0.0005866666666666667,
"loss": 1.2358,
"step": 1700
},
{
"epoch": 13.75,
"learning_rate": 0.000568888888888889,
"loss": 1.1962,
"step": 1800
},
{
"epoch": 14.52,
"learning_rate": 0.0005511111111111112,
"loss": 1.1651,
"step": 1900
},
{
"epoch": 15.28,
"learning_rate": 0.0005333333333333334,
"loss": 1.137,
"step": 2000
},
{
"epoch": 15.28,
"eval_bleu": 3.8148,
"eval_gen_len": 18.8755,
"eval_loss": 1.4426332712173462,
"eval_runtime": 303.4706,
"eval_samples_per_second": 252.051,
"eval_steps_per_second": 1.971,
"step": 2000
},
{
"epoch": 16.05,
"learning_rate": 0.0005155555555555557,
"loss": 1.1102,
"step": 2100
},
{
"epoch": 16.81,
"learning_rate": 0.0004977777777777778,
"loss": 1.0793,
"step": 2200
},
{
"epoch": 17.57,
"learning_rate": 0.00048,
"loss": 1.053,
"step": 2300
},
{
"epoch": 18.34,
"learning_rate": 0.0004622222222222222,
"loss": 1.0295,
"step": 2400
},
{
"epoch": 19.1,
"learning_rate": 0.00044444444444444447,
"loss": 1.01,
"step": 2500
},
{
"epoch": 19.87,
"learning_rate": 0.00042666666666666667,
"loss": 0.986,
"step": 2600
},
{
"epoch": 20.63,
"learning_rate": 0.00040888888888888887,
"loss": 0.9645,
"step": 2700
},
{
"epoch": 21.39,
"learning_rate": 0.0003911111111111111,
"loss": 0.9447,
"step": 2800
},
{
"epoch": 22.16,
"learning_rate": 0.0003733333333333334,
"loss": 0.9289,
"step": 2900
},
{
"epoch": 22.92,
"learning_rate": 0.00035555555555555557,
"loss": 0.9109,
"step": 3000
},
{
"epoch": 22.92,
"eval_bleu": 3.9571,
"eval_gen_len": 18.8752,
"eval_loss": 1.475421667098999,
"eval_runtime": 306.5307,
"eval_samples_per_second": 249.535,
"eval_steps_per_second": 1.951,
"step": 3000
},
{
"epoch": 23.69,
"learning_rate": 0.00033777777777777777,
"loss": 0.891,
"step": 3100
},
{
"epoch": 24.45,
"learning_rate": 0.00032,
"loss": 0.8772,
"step": 3200
},
{
"epoch": 25.21,
"learning_rate": 0.0003022222222222222,
"loss": 0.8642,
"step": 3300
},
{
"epoch": 25.98,
"learning_rate": 0.0002844444444444445,
"loss": 0.8509,
"step": 3400
},
{
"epoch": 26.74,
"learning_rate": 0.0002666666666666667,
"loss": 0.833,
"step": 3500
},
{
"epoch": 27.51,
"learning_rate": 0.0002488888888888889,
"loss": 0.8229,
"step": 3600
},
{
"epoch": 28.27,
"learning_rate": 0.0002311111111111111,
"loss": 0.8119,
"step": 3700
},
{
"epoch": 29.04,
"learning_rate": 0.00021333333333333333,
"loss": 0.8025,
"step": 3800
},
{
"epoch": 29.8,
"learning_rate": 0.00019555555555555556,
"loss": 0.7901,
"step": 3900
},
{
"epoch": 30.56,
"learning_rate": 0.00017777777777777779,
"loss": 0.7807,
"step": 4000
},
{
"epoch": 30.56,
"eval_bleu": 3.9767,
"eval_gen_len": 18.8761,
"eval_loss": 1.5373053550720215,
"eval_runtime": 305.2497,
"eval_samples_per_second": 250.582,
"eval_steps_per_second": 1.959,
"step": 4000
},
{
"epoch": 31.33,
"learning_rate": 0.00016,
"loss": 0.773,
"step": 4100
},
{
"epoch": 32.09,
"learning_rate": 0.00014222222222222224,
"loss": 0.7664,
"step": 4200
},
{
"epoch": 32.86,
"learning_rate": 0.00012444444444444444,
"loss": 0.7577,
"step": 4300
},
{
"epoch": 33.62,
"learning_rate": 0.00010666666666666667,
"loss": 0.7505,
"step": 4400
},
{
"epoch": 34.38,
"learning_rate": 8.888888888888889e-05,
"loss": 0.7456,
"step": 4500
},
{
"epoch": 35.15,
"learning_rate": 7.111111111111112e-05,
"loss": 0.7414,
"step": 4600
},
{
"epoch": 35.91,
"learning_rate": 5.333333333333333e-05,
"loss": 0.7363,
"step": 4700
},
{
"epoch": 36.68,
"learning_rate": 3.555555555555556e-05,
"loss": 0.7324,
"step": 4800
},
{
"epoch": 37.44,
"learning_rate": 1.777777777777778e-05,
"loss": 0.7301,
"step": 4900
},
{
"epoch": 38.2,
"learning_rate": 0.0,
"loss": 0.7288,
"step": 5000
},
{
"epoch": 38.2,
"eval_bleu": 3.9838,
"eval_gen_len": 18.8778,
"eval_loss": 1.5656607151031494,
"eval_runtime": 304.6836,
"eval_samples_per_second": 251.047,
"eval_steps_per_second": 1.963,
"step": 5000
},
{
"epoch": 38.2,
"step": 5000,
"total_flos": 6.138296014525694e+18,
"train_loss": 1.3865033660888673,
"train_runtime": 14019.5814,
"train_samples_per_second": 1460.814,
"train_steps_per_second": 0.357
}
],
"max_steps": 5000,
"num_train_epochs": 39,
"total_flos": 6.138296014525694e+18,
"trial_name": null,
"trial_params": null
}