umt5-translator-tolaki / trainer_state.json
sekarmulyani's picture
Upload 11 files
12582c7
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 2.184896900177523,
"global_step": 48000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.02,
"learning_rate": 0.0,
"loss": 0.1748,
"step": 500
},
{
"epoch": 0.05,
"learning_rate": 0.0,
"loss": 0.1589,
"step": 1000
},
{
"epoch": 0.07,
"learning_rate": 0.0,
"loss": 0.1687,
"step": 1500
},
{
"epoch": 0.09,
"learning_rate": 0.0,
"loss": 0.1555,
"step": 2000
},
{
"epoch": 0.11,
"learning_rate": 0.0,
"loss": 0.1682,
"step": 2500
},
{
"epoch": 0.14,
"learning_rate": 0.0,
"loss": 0.1689,
"step": 3000
},
{
"epoch": 0.16,
"learning_rate": 0.0,
"loss": 0.181,
"step": 3500
},
{
"epoch": 0.18,
"learning_rate": 0.0,
"loss": 0.1665,
"step": 4000
},
{
"epoch": 0.2,
"learning_rate": 0.0,
"loss": 0.1844,
"step": 4500
},
{
"epoch": 0.23,
"learning_rate": 0.0,
"loss": 0.1766,
"step": 5000
},
{
"epoch": 0.25,
"learning_rate": 0.0,
"loss": 0.1633,
"step": 5500
},
{
"epoch": 0.27,
"learning_rate": 0.0,
"loss": 0.1734,
"step": 6000
},
{
"epoch": 0.3,
"learning_rate": 0.0,
"loss": 0.1744,
"step": 6500
},
{
"epoch": 0.32,
"learning_rate": 0.0,
"loss": 0.1907,
"step": 7000
},
{
"epoch": 0.34,
"learning_rate": 0.0,
"loss": 0.1611,
"step": 7500
},
{
"epoch": 0.36,
"learning_rate": 0.0,
"loss": 0.1562,
"step": 8000
},
{
"epoch": 0.39,
"learning_rate": 0.0,
"loss": 0.1617,
"step": 8500
},
{
"epoch": 0.41,
"learning_rate": 0.0,
"loss": 0.1815,
"step": 9000
},
{
"epoch": 0.43,
"learning_rate": 0.0,
"loss": 0.1606,
"step": 9500
},
{
"epoch": 0.46,
"learning_rate": 0.0,
"loss": 0.1529,
"step": 10000
},
{
"epoch": 0.48,
"learning_rate": 0.0,
"loss": 0.1671,
"step": 10500
},
{
"epoch": 0.5,
"learning_rate": 0.0,
"loss": 0.1657,
"step": 11000
},
{
"epoch": 0.52,
"learning_rate": 0.0,
"loss": 0.1585,
"step": 11500
},
{
"epoch": 0.55,
"learning_rate": 0.0,
"loss": 0.1605,
"step": 12000
},
{
"epoch": 0.57,
"learning_rate": 0.0,
"loss": 0.1576,
"step": 12500
},
{
"epoch": 0.59,
"learning_rate": 0.0,
"loss": 0.1728,
"step": 13000
},
{
"epoch": 0.61,
"learning_rate": 0.0,
"loss": 0.1747,
"step": 13500
},
{
"epoch": 0.64,
"learning_rate": 0.0,
"loss": 0.1813,
"step": 14000
},
{
"epoch": 0.66,
"learning_rate": 0.0,
"loss": 0.1624,
"step": 14500
},
{
"epoch": 0.68,
"learning_rate": 0.0,
"loss": 0.1552,
"step": 15000
},
{
"epoch": 0.71,
"learning_rate": 0.0,
"loss": 0.1734,
"step": 15500
},
{
"epoch": 0.73,
"learning_rate": 0.0,
"loss": 0.1718,
"step": 16000
},
{
"epoch": 0.75,
"learning_rate": 0.0,
"loss": 0.1636,
"step": 16500
},
{
"epoch": 0.77,
"learning_rate": 0.0,
"loss": 0.1717,
"step": 17000
},
{
"epoch": 0.8,
"learning_rate": 0.0,
"loss": 0.1693,
"step": 17500
},
{
"epoch": 0.82,
"learning_rate": 0.0,
"loss": 0.1829,
"step": 18000
},
{
"epoch": 0.84,
"learning_rate": 0.0,
"loss": 0.1595,
"step": 18500
},
{
"epoch": 0.86,
"learning_rate": 0.0,
"loss": 0.1541,
"step": 19000
},
{
"epoch": 0.89,
"learning_rate": 0.0,
"loss": 0.1601,
"step": 19500
},
{
"epoch": 0.91,
"learning_rate": 0.0,
"loss": 0.1694,
"step": 20000
},
{
"epoch": 0.93,
"learning_rate": 0.0,
"loss": 0.1701,
"step": 20500
},
{
"epoch": 0.96,
"learning_rate": 0.0,
"loss": 0.1722,
"step": 21000
},
{
"epoch": 0.98,
"learning_rate": 0.0,
"loss": 0.1576,
"step": 21500
},
{
"epoch": 1.0,
"eval_bleu": 51.4928,
"eval_gen_len": 10.36,
"eval_loss": 0.14327587187290192,
"eval_runtime": 1372.0451,
"eval_samples_per_second": 5.057,
"eval_steps_per_second": 1.686,
"step": 21969
},
{
"epoch": 1.0,
"learning_rate": 0.0,
"loss": 0.177,
"step": 22000
},
{
"epoch": 1.02,
"learning_rate": 0.0,
"loss": 0.1711,
"step": 22500
},
{
"epoch": 1.05,
"learning_rate": 0.0,
"loss": 0.1725,
"step": 23000
},
{
"epoch": 1.07,
"learning_rate": 0.0,
"loss": 0.1864,
"step": 23500
},
{
"epoch": 1.09,
"learning_rate": 0.0,
"loss": 0.1573,
"step": 24000
},
{
"epoch": 1.12,
"learning_rate": 0.0,
"loss": 0.165,
"step": 24500
},
{
"epoch": 1.14,
"learning_rate": 0.0,
"loss": 0.1863,
"step": 25000
},
{
"epoch": 1.16,
"learning_rate": 0.0,
"loss": 0.1751,
"step": 25500
},
{
"epoch": 1.18,
"learning_rate": 0.0,
"loss": 0.1746,
"step": 26000
},
{
"epoch": 1.21,
"learning_rate": 0.0,
"loss": 0.1685,
"step": 26500
},
{
"epoch": 1.23,
"learning_rate": 0.0,
"loss": 0.175,
"step": 27000
},
{
"epoch": 1.25,
"learning_rate": 0.0,
"loss": 0.1627,
"step": 27500
},
{
"epoch": 1.27,
"learning_rate": 0.0,
"loss": 0.1504,
"step": 28000
},
{
"epoch": 1.3,
"learning_rate": 0.0,
"loss": 0.1495,
"step": 28500
},
{
"epoch": 1.32,
"learning_rate": 0.0,
"loss": 0.1744,
"step": 29000
},
{
"epoch": 1.34,
"learning_rate": 0.0,
"loss": 0.1668,
"step": 29500
},
{
"epoch": 1.37,
"learning_rate": 0.0,
"loss": 0.1571,
"step": 30000
},
{
"epoch": 1.39,
"learning_rate": 0.0,
"loss": 0.1643,
"step": 30500
},
{
"epoch": 1.41,
"learning_rate": 0.0,
"loss": 0.1653,
"step": 31000
},
{
"epoch": 1.43,
"learning_rate": 0.0,
"loss": 0.1646,
"step": 31500
},
{
"epoch": 1.46,
"learning_rate": 0.0,
"loss": 0.179,
"step": 32000
},
{
"epoch": 1.48,
"learning_rate": 0.0,
"loss": 0.1783,
"step": 32500
},
{
"epoch": 1.5,
"learning_rate": 0.0,
"loss": 0.1625,
"step": 33000
},
{
"epoch": 1.52,
"learning_rate": 0.0,
"loss": 0.1576,
"step": 33500
},
{
"epoch": 1.55,
"learning_rate": 0.0,
"loss": 0.1631,
"step": 34000
},
{
"epoch": 1.57,
"learning_rate": 0.0,
"loss": 0.1681,
"step": 34500
},
{
"epoch": 1.59,
"learning_rate": 0.0,
"loss": 0.1646,
"step": 35000
},
{
"epoch": 1.62,
"learning_rate": 0.0,
"loss": 0.1714,
"step": 35500
},
{
"epoch": 1.64,
"learning_rate": 0.0,
"loss": 0.174,
"step": 36000
},
{
"epoch": 1.66,
"learning_rate": 0.0,
"loss": 0.1548,
"step": 36500
},
{
"epoch": 1.68,
"learning_rate": 0.0,
"loss": 0.1722,
"step": 37000
},
{
"epoch": 1.71,
"learning_rate": 0.0,
"loss": 0.1718,
"step": 37500
},
{
"epoch": 1.73,
"learning_rate": 0.0,
"loss": 0.1723,
"step": 38000
},
{
"epoch": 1.75,
"learning_rate": 0.0,
"loss": 0.1668,
"step": 38500
},
{
"epoch": 1.78,
"learning_rate": 0.0,
"loss": 0.1584,
"step": 39000
},
{
"epoch": 1.8,
"learning_rate": 0.0,
"loss": 0.1676,
"step": 39500
},
{
"epoch": 1.82,
"learning_rate": 0.0,
"loss": 0.1732,
"step": 40000
},
{
"epoch": 1.84,
"learning_rate": 0.0,
"loss": 0.1749,
"step": 40500
},
{
"epoch": 1.87,
"learning_rate": 0.0,
"loss": 0.1652,
"step": 41000
},
{
"epoch": 1.89,
"learning_rate": 0.0,
"loss": 0.1763,
"step": 41500
},
{
"epoch": 1.91,
"learning_rate": 0.0,
"loss": 0.1599,
"step": 42000
},
{
"epoch": 1.93,
"learning_rate": 0.0,
"loss": 0.1575,
"step": 42500
},
{
"epoch": 1.96,
"learning_rate": 0.0,
"loss": 0.171,
"step": 43000
},
{
"epoch": 1.98,
"learning_rate": 0.0,
"loss": 0.1668,
"step": 43500
},
{
"epoch": 2.0,
"eval_bleu": 51.4928,
"eval_gen_len": 10.36,
"eval_loss": 0.14327587187290192,
"eval_runtime": 1365.3738,
"eval_samples_per_second": 5.081,
"eval_steps_per_second": 1.694,
"step": 43938
},
{
"epoch": 2.0,
"learning_rate": 0.0,
"loss": 0.1646,
"step": 44000
},
{
"epoch": 2.03,
"learning_rate": 0.0,
"loss": 0.1607,
"step": 44500
},
{
"epoch": 2.05,
"learning_rate": 0.0,
"loss": 0.1772,
"step": 45000
},
{
"epoch": 2.07,
"learning_rate": 0.0,
"loss": 0.1794,
"step": 45500
},
{
"epoch": 2.09,
"learning_rate": 0.0,
"loss": 0.1545,
"step": 46000
},
{
"epoch": 2.12,
"learning_rate": 0.0,
"loss": 0.1701,
"step": 46500
},
{
"epoch": 2.14,
"learning_rate": 0.0,
"loss": 0.1616,
"step": 47000
},
{
"epoch": 2.16,
"learning_rate": 0.0,
"loss": 0.1557,
"step": 47500
},
{
"epoch": 2.18,
"learning_rate": 0.0,
"loss": 0.1677,
"step": 48000
}
],
"max_steps": 65907,
"num_train_epochs": 3,
"total_flos": 6.441712416646042e+16,
"trial_name": null,
"trial_params": null
}