Training in progress, step 298, checkpoint
Browse files
last-checkpoint/adapter_model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 1154870440
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:892b19e9b1c6ec8c931ec31eaaea64c1f54d229ad9301361d06c23010fe58615
|
3 |
size 1154870440
|
last-checkpoint/optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 2309999768
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8a6cbc8b8810e660d48486c9cac79327a7e9d0bfe0336dab2b0b2be950dafd55
|
3 |
size 2309999768
|
last-checkpoint/rng_state.pth
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 14244
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ec20f60ea398d86da91aa0036eb29c67b6647d2b936f7f70a003e8aecb18b498
|
3 |
size 14244
|
last-checkpoint/scheduler.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 1064
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7299d6d674e2331f7fef6ad21b861c3a91e48af7b3ecf10af405659140b65185
|
3 |
size 1064
|
last-checkpoint/trainer_state.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
-
"epoch": 0.
|
5 |
"eval_steps": 500,
|
6 |
-
"global_step":
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
@@ -1680,6 +1680,419 @@
|
|
1680 |
"learning_rate": 2.0354603547267985e-05,
|
1681 |
"loss": 0.4991,
|
1682 |
"step": 239
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1683 |
}
|
1684 |
],
|
1685 |
"logging_steps": 1,
|
@@ -1694,12 +2107,12 @@
|
|
1694 |
"should_evaluate": false,
|
1695 |
"should_log": false,
|
1696 |
"should_save": true,
|
1697 |
-
"should_training_stop":
|
1698 |
},
|
1699 |
"attributes": {}
|
1700 |
}
|
1701 |
},
|
1702 |
-
"total_flos": 1.
|
1703 |
"train_batch_size": 4,
|
1704 |
"trial_name": null,
|
1705 |
"trial_params": null
|
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.9991617770326907,
|
5 |
"eval_steps": 500,
|
6 |
+
"global_step": 298,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
|
|
1680 |
"learning_rate": 2.0354603547267985e-05,
|
1681 |
"loss": 0.4991,
|
1682 |
"step": 239
|
1683 |
+
},
|
1684 |
+
{
|
1685 |
+
"epoch": 0.8046940486169321,
|
1686 |
+
"grad_norm": 15.609128952026367,
|
1687 |
+
"learning_rate": 1.9719515643116674e-05,
|
1688 |
+
"loss": 0.885,
|
1689 |
+
"step": 240
|
1690 |
+
},
|
1691 |
+
{
|
1692 |
+
"epoch": 0.8080469404861693,
|
1693 |
+
"grad_norm": 14.140607833862305,
|
1694 |
+
"learning_rate": 1.9092050688969738e-05,
|
1695 |
+
"loss": 0.6477,
|
1696 |
+
"step": 241
|
1697 |
+
},
|
1698 |
+
{
|
1699 |
+
"epoch": 0.8113998323554066,
|
1700 |
+
"grad_norm": 8.173004150390625,
|
1701 |
+
"learning_rate": 1.847236664577389e-05,
|
1702 |
+
"loss": 0.3195,
|
1703 |
+
"step": 242
|
1704 |
+
},
|
1705 |
+
{
|
1706 |
+
"epoch": 0.8147527242246437,
|
1707 |
+
"grad_norm": 12.263628959655762,
|
1708 |
+
"learning_rate": 1.7860619515673033e-05,
|
1709 |
+
"loss": 0.3825,
|
1710 |
+
"step": 243
|
1711 |
+
},
|
1712 |
+
{
|
1713 |
+
"epoch": 0.818105616093881,
|
1714 |
+
"grad_norm": 9.158538818359375,
|
1715 |
+
"learning_rate": 1.725696330273575e-05,
|
1716 |
+
"loss": 0.5394,
|
1717 |
+
"step": 244
|
1718 |
+
},
|
1719 |
+
{
|
1720 |
+
"epoch": 0.8214585079631181,
|
1721 |
+
"grad_norm": 11.503657341003418,
|
1722 |
+
"learning_rate": 1.6661549974185424e-05,
|
1723 |
+
"loss": 0.5017,
|
1724 |
+
"step": 245
|
1725 |
+
},
|
1726 |
+
{
|
1727 |
+
"epoch": 0.8248113998323554,
|
1728 |
+
"grad_norm": 11.45801830291748,
|
1729 |
+
"learning_rate": 1.60745294221434e-05,
|
1730 |
+
"loss": 0.5327,
|
1731 |
+
"step": 246
|
1732 |
+
},
|
1733 |
+
{
|
1734 |
+
"epoch": 0.8281642917015927,
|
1735 |
+
"grad_norm": 14.59035873413086,
|
1736 |
+
"learning_rate": 1.549604942589441e-05,
|
1737 |
+
"loss": 0.6128,
|
1738 |
+
"step": 247
|
1739 |
+
},
|
1740 |
+
{
|
1741 |
+
"epoch": 0.8315171835708298,
|
1742 |
+
"grad_norm": 11.337044715881348,
|
1743 |
+
"learning_rate": 1.4926255614683932e-05,
|
1744 |
+
"loss": 0.4564,
|
1745 |
+
"step": 248
|
1746 |
+
},
|
1747 |
+
{
|
1748 |
+
"epoch": 0.8348700754400671,
|
1749 |
+
"grad_norm": 9.969059944152832,
|
1750 |
+
"learning_rate": 1.4365291431056871e-05,
|
1751 |
+
"loss": 0.7156,
|
1752 |
+
"step": 249
|
1753 |
+
},
|
1754 |
+
{
|
1755 |
+
"epoch": 0.8382229673093042,
|
1756 |
+
"grad_norm": 10.448427200317383,
|
1757 |
+
"learning_rate": 1.3813298094746491e-05,
|
1758 |
+
"loss": 0.5685,
|
1759 |
+
"step": 250
|
1760 |
+
},
|
1761 |
+
{
|
1762 |
+
"epoch": 0.8415758591785415,
|
1763 |
+
"grad_norm": 11.464609146118164,
|
1764 |
+
"learning_rate": 1.327041456712334e-05,
|
1765 |
+
"loss": 0.6357,
|
1766 |
+
"step": 251
|
1767 |
+
},
|
1768 |
+
{
|
1769 |
+
"epoch": 0.8449287510477788,
|
1770 |
+
"grad_norm": 12.060856819152832,
|
1771 |
+
"learning_rate": 1.2736777516212266e-05,
|
1772 |
+
"loss": 0.7539,
|
1773 |
+
"step": 252
|
1774 |
+
},
|
1775 |
+
{
|
1776 |
+
"epoch": 0.8482816429170159,
|
1777 |
+
"grad_norm": 12.243000984191895,
|
1778 |
+
"learning_rate": 1.2212521282287092e-05,
|
1779 |
+
"loss": 0.7645,
|
1780 |
+
"step": 253
|
1781 |
+
},
|
1782 |
+
{
|
1783 |
+
"epoch": 0.8516345347862532,
|
1784 |
+
"grad_norm": 11.656434059143066,
|
1785 |
+
"learning_rate": 1.1697777844051105e-05,
|
1786 |
+
"loss": 0.708,
|
1787 |
+
"step": 254
|
1788 |
+
},
|
1789 |
+
{
|
1790 |
+
"epoch": 0.8549874266554903,
|
1791 |
+
"grad_norm": 12.392927169799805,
|
1792 |
+
"learning_rate": 1.1192676785412154e-05,
|
1793 |
+
"loss": 0.7513,
|
1794 |
+
"step": 255
|
1795 |
+
},
|
1796 |
+
{
|
1797 |
+
"epoch": 0.8583403185247276,
|
1798 |
+
"grad_norm": 9.757222175598145,
|
1799 |
+
"learning_rate": 1.0697345262860636e-05,
|
1800 |
+
"loss": 0.6079,
|
1801 |
+
"step": 256
|
1802 |
+
},
|
1803 |
+
{
|
1804 |
+
"epoch": 0.8616932103939648,
|
1805 |
+
"grad_norm": 8.159704208374023,
|
1806 |
+
"learning_rate": 1.021190797345839e-05,
|
1807 |
+
"loss": 0.2301,
|
1808 |
+
"step": 257
|
1809 |
+
},
|
1810 |
+
{
|
1811 |
+
"epoch": 0.865046102263202,
|
1812 |
+
"grad_norm": 7.381707668304443,
|
1813 |
+
"learning_rate": 9.73648712344707e-06,
|
1814 |
+
"loss": 0.337,
|
1815 |
+
"step": 258
|
1816 |
+
},
|
1817 |
+
{
|
1818 |
+
"epoch": 0.8683989941324393,
|
1819 |
+
"grad_norm": 9.870096206665039,
|
1820 |
+
"learning_rate": 9.271202397483215e-06,
|
1821 |
+
"loss": 0.2997,
|
1822 |
+
"step": 259
|
1823 |
+
},
|
1824 |
+
{
|
1825 |
+
"epoch": 0.8717518860016764,
|
1826 |
+
"grad_norm": 8.603653907775879,
|
1827 |
+
"learning_rate": 8.816170928508365e-06,
|
1828 |
+
"loss": 0.2499,
|
1829 |
+
"step": 260
|
1830 |
+
},
|
1831 |
+
{
|
1832 |
+
"epoch": 0.8751047778709137,
|
1833 |
+
"grad_norm": 6.676860809326172,
|
1834 |
+
"learning_rate": 8.371507268261437e-06,
|
1835 |
+
"loss": 0.3058,
|
1836 |
+
"step": 261
|
1837 |
+
},
|
1838 |
+
{
|
1839 |
+
"epoch": 0.8784576697401508,
|
1840 |
+
"grad_norm": 8.418916702270508,
|
1841 |
+
"learning_rate": 7.937323358440935e-06,
|
1842 |
+
"loss": 0.2895,
|
1843 |
+
"step": 262
|
1844 |
+
},
|
1845 |
+
{
|
1846 |
+
"epoch": 0.8818105616093881,
|
1847 |
+
"grad_norm": 10.64456558227539,
|
1848 |
+
"learning_rate": 7.513728502524286e-06,
|
1849 |
+
"loss": 0.3863,
|
1850 |
+
"step": 263
|
1851 |
+
},
|
1852 |
+
{
|
1853 |
+
"epoch": 0.8851634534786254,
|
1854 |
+
"grad_norm": 7.481652736663818,
|
1855 |
+
"learning_rate": 7.100829338251147e-06,
|
1856 |
+
"loss": 0.2319,
|
1857 |
+
"step": 264
|
1858 |
+
},
|
1859 |
+
{
|
1860 |
+
"epoch": 0.8885163453478625,
|
1861 |
+
"grad_norm": 7.484499454498291,
|
1862 |
+
"learning_rate": 6.698729810778065e-06,
|
1863 |
+
"loss": 0.1861,
|
1864 |
+
"step": 265
|
1865 |
+
},
|
1866 |
+
{
|
1867 |
+
"epoch": 0.8918692372170998,
|
1868 |
+
"grad_norm": 6.579418659210205,
|
1869 |
+
"learning_rate": 6.3075311465107535e-06,
|
1870 |
+
"loss": 0.2557,
|
1871 |
+
"step": 266
|
1872 |
+
},
|
1873 |
+
{
|
1874 |
+
"epoch": 0.8952221290863369,
|
1875 |
+
"grad_norm": 6.663677215576172,
|
1876 |
+
"learning_rate": 5.927331827620903e-06,
|
1877 |
+
"loss": 0.3708,
|
1878 |
+
"step": 267
|
1879 |
+
},
|
1880 |
+
{
|
1881 |
+
"epoch": 0.8985750209555742,
|
1882 |
+
"grad_norm": 9.156440734863281,
|
1883 |
+
"learning_rate": 5.558227567253832e-06,
|
1884 |
+
"loss": 0.3865,
|
1885 |
+
"step": 268
|
1886 |
+
},
|
1887 |
+
{
|
1888 |
+
"epoch": 0.9019279128248114,
|
1889 |
+
"grad_norm": 5.36343240737915,
|
1890 |
+
"learning_rate": 5.200311285433213e-06,
|
1891 |
+
"loss": 0.2776,
|
1892 |
+
"step": 269
|
1893 |
+
},
|
1894 |
+
{
|
1895 |
+
"epoch": 0.9052808046940486,
|
1896 |
+
"grad_norm": 7.757360935211182,
|
1897 |
+
"learning_rate": 4.853673085668947e-06,
|
1898 |
+
"loss": 0.335,
|
1899 |
+
"step": 270
|
1900 |
+
},
|
1901 |
+
{
|
1902 |
+
"epoch": 0.9086336965632859,
|
1903 |
+
"grad_norm": 12.774531364440918,
|
1904 |
+
"learning_rate": 4.5184002322740785e-06,
|
1905 |
+
"loss": 0.3653,
|
1906 |
+
"step": 271
|
1907 |
+
},
|
1908 |
+
{
|
1909 |
+
"epoch": 0.911986588432523,
|
1910 |
+
"grad_norm": 8.137080192565918,
|
1911 |
+
"learning_rate": 4.19457712839652e-06,
|
1912 |
+
"loss": 0.392,
|
1913 |
+
"step": 272
|
1914 |
+
},
|
1915 |
+
{
|
1916 |
+
"epoch": 0.9153394803017603,
|
1917 |
+
"grad_norm": 9.441322326660156,
|
1918 |
+
"learning_rate": 3.8822852947709375e-06,
|
1919 |
+
"loss": 0.3059,
|
1920 |
+
"step": 273
|
1921 |
+
},
|
1922 |
+
{
|
1923 |
+
"epoch": 0.9186923721709975,
|
1924 |
+
"grad_norm": 5.269786834716797,
|
1925 |
+
"learning_rate": 3.581603349196372e-06,
|
1926 |
+
"loss": 0.2275,
|
1927 |
+
"step": 274
|
1928 |
+
},
|
1929 |
+
{
|
1930 |
+
"epoch": 0.9220452640402347,
|
1931 |
+
"grad_norm": 9.277483940124512,
|
1932 |
+
"learning_rate": 3.2926069867446675e-06,
|
1933 |
+
"loss": 0.335,
|
1934 |
+
"step": 275
|
1935 |
+
},
|
1936 |
+
{
|
1937 |
+
"epoch": 0.9253981559094719,
|
1938 |
+
"grad_norm": 9.3627290725708,
|
1939 |
+
"learning_rate": 3.0153689607045845e-06,
|
1940 |
+
"loss": 0.4954,
|
1941 |
+
"step": 276
|
1942 |
+
},
|
1943 |
+
{
|
1944 |
+
"epoch": 0.9287510477787091,
|
1945 |
+
"grad_norm": 7.629518508911133,
|
1946 |
+
"learning_rate": 2.7499590642665774e-06,
|
1947 |
+
"loss": 0.2234,
|
1948 |
+
"step": 277
|
1949 |
+
},
|
1950 |
+
{
|
1951 |
+
"epoch": 0.9321039396479464,
|
1952 |
+
"grad_norm": 5.571048736572266,
|
1953 |
+
"learning_rate": 2.496444112952734e-06,
|
1954 |
+
"loss": 0.3485,
|
1955 |
+
"step": 278
|
1956 |
+
},
|
1957 |
+
{
|
1958 |
+
"epoch": 0.9354568315171836,
|
1959 |
+
"grad_norm": 18.15276336669922,
|
1960 |
+
"learning_rate": 2.2548879277963064e-06,
|
1961 |
+
"loss": 0.3434,
|
1962 |
+
"step": 279
|
1963 |
+
},
|
1964 |
+
{
|
1965 |
+
"epoch": 0.9388097233864208,
|
1966 |
+
"grad_norm": 14.836206436157227,
|
1967 |
+
"learning_rate": 2.0253513192751373e-06,
|
1968 |
+
"loss": 0.3263,
|
1969 |
+
"step": 280
|
1970 |
+
},
|
1971 |
+
{
|
1972 |
+
"epoch": 0.942162615255658,
|
1973 |
+
"grad_norm": 13.923564910888672,
|
1974 |
+
"learning_rate": 1.807892072002898e-06,
|
1975 |
+
"loss": 0.4678,
|
1976 |
+
"step": 281
|
1977 |
+
},
|
1978 |
+
{
|
1979 |
+
"epoch": 0.9455155071248952,
|
1980 |
+
"grad_norm": 15.387225151062012,
|
1981 |
+
"learning_rate": 1.6025649301821876e-06,
|
1982 |
+
"loss": 0.4785,
|
1983 |
+
"step": 282
|
1984 |
+
},
|
1985 |
+
{
|
1986 |
+
"epoch": 0.9488683989941324,
|
1987 |
+
"grad_norm": 13.055351257324219,
|
1988 |
+
"learning_rate": 1.4094215838229176e-06,
|
1989 |
+
"loss": 0.563,
|
1990 |
+
"step": 283
|
1991 |
+
},
|
1992 |
+
{
|
1993 |
+
"epoch": 0.9522212908633697,
|
1994 |
+
"grad_norm": 17.376829147338867,
|
1995 |
+
"learning_rate": 1.2285106557296477e-06,
|
1996 |
+
"loss": 0.3891,
|
1997 |
+
"step": 284
|
1998 |
+
},
|
1999 |
+
{
|
2000 |
+
"epoch": 0.9555741827326069,
|
2001 |
+
"grad_norm": 17.277982711791992,
|
2002 |
+
"learning_rate": 1.0598776892610685e-06,
|
2003 |
+
"loss": 0.5198,
|
2004 |
+
"step": 285
|
2005 |
+
},
|
2006 |
+
{
|
2007 |
+
"epoch": 0.9589270746018441,
|
2008 |
+
"grad_norm": 11.45787239074707,
|
2009 |
+
"learning_rate": 9.035651368646648e-07,
|
2010 |
+
"loss": 0.4912,
|
2011 |
+
"step": 286
|
2012 |
+
},
|
2013 |
+
{
|
2014 |
+
"epoch": 0.9622799664710813,
|
2015 |
+
"grad_norm": 12.024084091186523,
|
2016 |
+
"learning_rate": 7.596123493895991e-07,
|
2017 |
+
"loss": 0.4365,
|
2018 |
+
"step": 287
|
2019 |
+
},
|
2020 |
+
{
|
2021 |
+
"epoch": 0.9656328583403185,
|
2022 |
+
"grad_norm": 15.519173622131348,
|
2023 |
+
"learning_rate": 6.280555661802856e-07,
|
2024 |
+
"loss": 0.6457,
|
2025 |
+
"step": 288
|
2026 |
+
},
|
2027 |
+
{
|
2028 |
+
"epoch": 0.9689857502095558,
|
2029 |
+
"grad_norm": 15.936901092529297,
|
2030 |
+
"learning_rate": 5.089279059533658e-07,
|
2031 |
+
"loss": 0.7402,
|
2032 |
+
"step": 289
|
2033 |
+
},
|
2034 |
+
{
|
2035 |
+
"epoch": 0.972338642078793,
|
2036 |
+
"grad_norm": 14.855793952941895,
|
2037 |
+
"learning_rate": 4.02259358460233e-07,
|
2038 |
+
"loss": 0.5426,
|
2039 |
+
"step": 290
|
2040 |
+
},
|
2041 |
+
{
|
2042 |
+
"epoch": 0.9756915339480302,
|
2043 |
+
"grad_norm": 17.52886199951172,
|
2044 |
+
"learning_rate": 3.080767769372939e-07,
|
2045 |
+
"loss": 0.5786,
|
2046 |
+
"step": 291
|
2047 |
+
},
|
2048 |
+
{
|
2049 |
+
"epoch": 0.9790444258172674,
|
2050 |
+
"grad_norm": 14.614376068115234,
|
2051 |
+
"learning_rate": 2.2640387134577058e-07,
|
2052 |
+
"loss": 0.4134,
|
2053 |
+
"step": 292
|
2054 |
+
},
|
2055 |
+
{
|
2056 |
+
"epoch": 0.9823973176865046,
|
2057 |
+
"grad_norm": 12.858384132385254,
|
2058 |
+
"learning_rate": 1.5726120240288634e-07,
|
2059 |
+
"loss": 0.9686,
|
2060 |
+
"step": 293
|
2061 |
+
},
|
2062 |
+
{
|
2063 |
+
"epoch": 0.9857502095557418,
|
2064 |
+
"grad_norm": 14.443262100219727,
|
2065 |
+
"learning_rate": 1.0066617640578368e-07,
|
2066 |
+
"loss": 0.5455,
|
2067 |
+
"step": 294
|
2068 |
+
},
|
2069 |
+
{
|
2070 |
+
"epoch": 0.989103101424979,
|
2071 |
+
"grad_norm": 14.196720123291016,
|
2072 |
+
"learning_rate": 5.663304084960186e-08,
|
2073 |
+
"loss": 0.4852,
|
2074 |
+
"step": 295
|
2075 |
+
},
|
2076 |
+
{
|
2077 |
+
"epoch": 0.9924559932942163,
|
2078 |
+
"grad_norm": 13.345819473266602,
|
2079 |
+
"learning_rate": 2.5172880840745873e-08,
|
2080 |
+
"loss": 0.4879,
|
2081 |
+
"step": 296
|
2082 |
+
},
|
2083 |
+
{
|
2084 |
+
"epoch": 0.9958088851634534,
|
2085 |
+
"grad_norm": 4.6811842918396,
|
2086 |
+
"learning_rate": 6.293616306246586e-09,
|
2087 |
+
"loss": 0.2391,
|
2088 |
+
"step": 297
|
2089 |
+
},
|
2090 |
+
{
|
2091 |
+
"epoch": 0.9991617770326907,
|
2092 |
+
"grad_norm": 7.340142250061035,
|
2093 |
+
"learning_rate": 0.0,
|
2094 |
+
"loss": 0.4579,
|
2095 |
+
"step": 298
|
2096 |
}
|
2097 |
],
|
2098 |
"logging_steps": 1,
|
|
|
2107 |
"should_evaluate": false,
|
2108 |
"should_log": false,
|
2109 |
"should_save": true,
|
2110 |
+
"should_training_stop": true
|
2111 |
},
|
2112 |
"attributes": {}
|
2113 |
}
|
2114 |
},
|
2115 |
+
"total_flos": 1.998363176038564e+17,
|
2116 |
"train_batch_size": 4,
|
2117 |
"trial_name": null,
|
2118 |
"trial_params": null
|