Training in progress, step 9000, checkpoint
Browse files
last-checkpoint/model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 150625560
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:af73c4ec485cd7fa414342b390a5c634c47a31d116a73e322cc418d51a330596
|
| 3 |
size 150625560
|
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 602335994
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f8057071e9c871132fbac5baaaef5c6aca4c49e2663c7a32995eef4dffca1eb9
|
| 3 |
size 602335994
|
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 sha256:1674983d22ea028f37f625821f1fca77be67adb3636d14701707c06c0fbac379
|
| 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:fb36ce4646595e0955071e0d49fcfefa2b2d576fde195d65fd821c4d2bebc721
|
| 3 |
size 1064
|
last-checkpoint/trainer_state.json
CHANGED
|
@@ -2,9 +2,9 @@
|
|
| 2 |
"best_global_step": null,
|
| 3 |
"best_metric": null,
|
| 4 |
"best_model_checkpoint": null,
|
| 5 |
-
"epoch":
|
| 6 |
"eval_steps": 500,
|
| 7 |
-
"global_step":
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
|
@@ -1752,11 +1752,229 @@
|
|
| 1752 |
"eval_steps_per_second": 20.597,
|
| 1753 |
"num_input_tokens_seen": 3864935104,
|
| 1754 |
"step": 8000
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1755 |
}
|
| 1756 |
],
|
| 1757 |
"logging_steps": 50,
|
| 1758 |
"max_steps": 16568,
|
| 1759 |
-
"num_input_tokens_seen":
|
| 1760 |
"num_train_epochs": 4,
|
| 1761 |
"save_steps": 1000,
|
| 1762 |
"stateful_callbacks": {
|
|
@@ -1771,7 +1989,7 @@
|
|
| 1771 |
"attributes": {}
|
| 1772 |
}
|
| 1773 |
},
|
| 1774 |
-
"total_flos": 1.
|
| 1775 |
"train_batch_size": 16,
|
| 1776 |
"trial_name": null,
|
| 1777 |
"trial_params": null
|
|
|
|
| 2 |
"best_global_step": null,
|
| 3 |
"best_metric": null,
|
| 4 |
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 2.172367487967168,
|
| 6 |
"eval_steps": 500,
|
| 7 |
+
"global_step": 9000,
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
|
|
|
| 1752 |
"eval_steps_per_second": 20.597,
|
| 1753 |
"num_input_tokens_seen": 3864935104,
|
| 1754 |
"step": 8000
|
| 1755 |
+
},
|
| 1756 |
+
{
|
| 1757 |
+
"epoch": 1.9431929628679634,
|
| 1758 |
+
"grad_norm": 0.26171875,
|
| 1759 |
+
"learning_rate": 3.213369548815452e-05,
|
| 1760 |
+
"loss": 2.096,
|
| 1761 |
+
"mean_token_accuracy": 0.5548218312300741,
|
| 1762 |
+
"num_input_tokens_seen": 3889193776,
|
| 1763 |
+
"num_tokens": 1638986755.0,
|
| 1764 |
+
"step": 8050
|
| 1765 |
+
},
|
| 1766 |
+
{
|
| 1767 |
+
"epoch": 1.9552635152466165,
|
| 1768 |
+
"grad_norm": 0.28125,
|
| 1769 |
+
"learning_rate": 3.194507318545345e-05,
|
| 1770 |
+
"loss": 2.0821,
|
| 1771 |
+
"mean_token_accuracy": 0.5565256755426526,
|
| 1772 |
+
"num_input_tokens_seen": 3913273664,
|
| 1773 |
+
"num_tokens": 1649209062.0,
|
| 1774 |
+
"step": 8100
|
| 1775 |
+
},
|
| 1776 |
+
{
|
| 1777 |
+
"epoch": 1.9673340676252697,
|
| 1778 |
+
"grad_norm": 0.267578125,
|
| 1779 |
+
"learning_rate": 3.175645088275238e-05,
|
| 1780 |
+
"loss": 2.1026,
|
| 1781 |
+
"mean_token_accuracy": 0.5532021636888385,
|
| 1782 |
+
"num_input_tokens_seen": 3937597616,
|
| 1783 |
+
"num_tokens": 1659435713.0,
|
| 1784 |
+
"step": 8150
|
| 1785 |
+
},
|
| 1786 |
+
{
|
| 1787 |
+
"epoch": 1.979404620003923,
|
| 1788 |
+
"grad_norm": 0.255859375,
|
| 1789 |
+
"learning_rate": 3.156782858005131e-05,
|
| 1790 |
+
"loss": 2.0984,
|
| 1791 |
+
"mean_token_accuracy": 0.554893646761775,
|
| 1792 |
+
"num_input_tokens_seen": 3961803792,
|
| 1793 |
+
"num_tokens": 1669582457.0,
|
| 1794 |
+
"step": 8200
|
| 1795 |
+
},
|
| 1796 |
+
{
|
| 1797 |
+
"epoch": 1.991475172382576,
|
| 1798 |
+
"grad_norm": 0.25,
|
| 1799 |
+
"learning_rate": 3.1379206277350235e-05,
|
| 1800 |
+
"loss": 2.0818,
|
| 1801 |
+
"mean_token_accuracy": 0.5563116483017803,
|
| 1802 |
+
"num_input_tokens_seen": 3985940144,
|
| 1803 |
+
"num_tokens": 1679783022.0,
|
| 1804 |
+
"step": 8250
|
| 1805 |
+
},
|
| 1806 |
+
{
|
| 1807 |
+
"epoch": 2.003379754666023,
|
| 1808 |
+
"grad_norm": 0.279296875,
|
| 1809 |
+
"learning_rate": 3.119058397464916e-05,
|
| 1810 |
+
"loss": 2.0986,
|
| 1811 |
+
"mean_token_accuracy": 0.5548089014411124,
|
| 1812 |
+
"num_input_tokens_seen": 4009775217,
|
| 1813 |
+
"num_tokens": 1689934301.0,
|
| 1814 |
+
"step": 8300
|
| 1815 |
+
},
|
| 1816 |
+
{
|
| 1817 |
+
"epoch": 2.0154503070446763,
|
| 1818 |
+
"grad_norm": 0.2431640625,
|
| 1819 |
+
"learning_rate": 3.100196167194809e-05,
|
| 1820 |
+
"loss": 2.101,
|
| 1821 |
+
"mean_token_accuracy": 0.554502502605319,
|
| 1822 |
+
"num_input_tokens_seen": 4033881233,
|
| 1823 |
+
"num_tokens": 1700106136.0,
|
| 1824 |
+
"step": 8350
|
| 1825 |
+
},
|
| 1826 |
+
{
|
| 1827 |
+
"epoch": 2.0275208594233294,
|
| 1828 |
+
"grad_norm": 0.27734375,
|
| 1829 |
+
"learning_rate": 3.081333936924702e-05,
|
| 1830 |
+
"loss": 2.0952,
|
| 1831 |
+
"mean_token_accuracy": 0.5547482476383447,
|
| 1832 |
+
"num_input_tokens_seen": 4058061905,
|
| 1833 |
+
"num_tokens": 1710288179.0,
|
| 1834 |
+
"step": 8400
|
| 1835 |
+
},
|
| 1836 |
+
{
|
| 1837 |
+
"epoch": 2.0395914118019824,
|
| 1838 |
+
"grad_norm": 0.251953125,
|
| 1839 |
+
"learning_rate": 3.062471706654595e-05,
|
| 1840 |
+
"loss": 2.0997,
|
| 1841 |
+
"mean_token_accuracy": 0.5538438270241022,
|
| 1842 |
+
"num_input_tokens_seen": 4082118001,
|
| 1843 |
+
"num_tokens": 1720402394.0,
|
| 1844 |
+
"step": 8450
|
| 1845 |
+
},
|
| 1846 |
+
{
|
| 1847 |
+
"epoch": 2.051661964180636,
|
| 1848 |
+
"grad_norm": 0.27734375,
|
| 1849 |
+
"learning_rate": 3.043609476384488e-05,
|
| 1850 |
+
"loss": 2.0904,
|
| 1851 |
+
"num_input_tokens_seen": 4106175169,
|
| 1852 |
+
"step": 8500
|
| 1853 |
+
},
|
| 1854 |
+
{
|
| 1855 |
+
"epoch": 2.051661964180636,
|
| 1856 |
+
"eval_loss": 1.969247817993164,
|
| 1857 |
+
"eval_mean_token_accuracy": 0.5783566591497497,
|
| 1858 |
+
"eval_num_tokens": 1730551722.0,
|
| 1859 |
+
"eval_runtime": 130.525,
|
| 1860 |
+
"eval_samples_per_second": 82.069,
|
| 1861 |
+
"eval_steps_per_second": 20.517,
|
| 1862 |
+
"num_input_tokens_seen": 4106175169,
|
| 1863 |
+
"step": 8500
|
| 1864 |
+
},
|
| 1865 |
+
{
|
| 1866 |
+
"epoch": 2.063732516559289,
|
| 1867 |
+
"grad_norm": 0.244140625,
|
| 1868 |
+
"learning_rate": 3.0247472461143806e-05,
|
| 1869 |
+
"loss": 2.1045,
|
| 1870 |
+
"mean_token_accuracy": 0.5544156692735851,
|
| 1871 |
+
"num_input_tokens_seen": 4130212065,
|
| 1872 |
+
"num_tokens": 1740781983.0,
|
| 1873 |
+
"step": 8550
|
| 1874 |
+
},
|
| 1875 |
+
{
|
| 1876 |
+
"epoch": 2.075803068937942,
|
| 1877 |
+
"grad_norm": 0.28125,
|
| 1878 |
+
"learning_rate": 3.0058850158442735e-05,
|
| 1879 |
+
"loss": 2.0968,
|
| 1880 |
+
"mean_token_accuracy": 0.5541778185963631,
|
| 1881 |
+
"num_input_tokens_seen": 4154342289,
|
| 1882 |
+
"num_tokens": 1750886868.0,
|
| 1883 |
+
"step": 8600
|
| 1884 |
+
},
|
| 1885 |
+
{
|
| 1886 |
+
"epoch": 2.0878736213165956,
|
| 1887 |
+
"grad_norm": 0.2392578125,
|
| 1888 |
+
"learning_rate": 2.9870227855741667e-05,
|
| 1889 |
+
"loss": 2.0825,
|
| 1890 |
+
"mean_token_accuracy": 0.5571553486213088,
|
| 1891 |
+
"num_input_tokens_seen": 4178622977,
|
| 1892 |
+
"num_tokens": 1761024406.0,
|
| 1893 |
+
"step": 8650
|
| 1894 |
+
},
|
| 1895 |
+
{
|
| 1896 |
+
"epoch": 2.0999441736952487,
|
| 1897 |
+
"grad_norm": 0.2490234375,
|
| 1898 |
+
"learning_rate": 2.9681605553040592e-05,
|
| 1899 |
+
"loss": 2.0936,
|
| 1900 |
+
"mean_token_accuracy": 0.554418184608221,
|
| 1901 |
+
"num_input_tokens_seen": 4202833969,
|
| 1902 |
+
"num_tokens": 1771241652.0,
|
| 1903 |
+
"step": 8700
|
| 1904 |
+
},
|
| 1905 |
+
{
|
| 1906 |
+
"epoch": 2.112014726073902,
|
| 1907 |
+
"grad_norm": 0.244140625,
|
| 1908 |
+
"learning_rate": 2.9492983250339524e-05,
|
| 1909 |
+
"loss": 2.0959,
|
| 1910 |
+
"mean_token_accuracy": 0.5550215977802873,
|
| 1911 |
+
"num_input_tokens_seen": 4226915233,
|
| 1912 |
+
"num_tokens": 1781349215.0,
|
| 1913 |
+
"step": 8750
|
| 1914 |
+
},
|
| 1915 |
+
{
|
| 1916 |
+
"epoch": 2.1240852784525552,
|
| 1917 |
+
"grad_norm": 0.267578125,
|
| 1918 |
+
"learning_rate": 2.930436094763845e-05,
|
| 1919 |
+
"loss": 2.1008,
|
| 1920 |
+
"mean_token_accuracy": 0.553907332457602,
|
| 1921 |
+
"num_input_tokens_seen": 4251137105,
|
| 1922 |
+
"num_tokens": 1791502343.0,
|
| 1923 |
+
"step": 8800
|
| 1924 |
+
},
|
| 1925 |
+
{
|
| 1926 |
+
"epoch": 2.1361558308312083,
|
| 1927 |
+
"grad_norm": 0.263671875,
|
| 1928 |
+
"learning_rate": 2.9115738644937378e-05,
|
| 1929 |
+
"loss": 2.0903,
|
| 1930 |
+
"mean_token_accuracy": 0.5557647632434964,
|
| 1931 |
+
"num_input_tokens_seen": 4275224433,
|
| 1932 |
+
"num_tokens": 1801620139.0,
|
| 1933 |
+
"step": 8850
|
| 1934 |
+
},
|
| 1935 |
+
{
|
| 1936 |
+
"epoch": 2.148226383209862,
|
| 1937 |
+
"grad_norm": 0.2275390625,
|
| 1938 |
+
"learning_rate": 2.892711634223631e-05,
|
| 1939 |
+
"loss": 2.105,
|
| 1940 |
+
"mean_token_accuracy": 0.5533201249688864,
|
| 1941 |
+
"num_input_tokens_seen": 4299490545,
|
| 1942 |
+
"num_tokens": 1811829692.0,
|
| 1943 |
+
"step": 8900
|
| 1944 |
+
},
|
| 1945 |
+
{
|
| 1946 |
+
"epoch": 2.160296935588515,
|
| 1947 |
+
"grad_norm": 0.251953125,
|
| 1948 |
+
"learning_rate": 2.8738494039535235e-05,
|
| 1949 |
+
"loss": 2.0771,
|
| 1950 |
+
"mean_token_accuracy": 0.5572306806966663,
|
| 1951 |
+
"num_input_tokens_seen": 4323603905,
|
| 1952 |
+
"num_tokens": 1822011165.0,
|
| 1953 |
+
"step": 8950
|
| 1954 |
+
},
|
| 1955 |
+
{
|
| 1956 |
+
"epoch": 2.172367487967168,
|
| 1957 |
+
"grad_norm": 0.248046875,
|
| 1958 |
+
"learning_rate": 2.8549871736834167e-05,
|
| 1959 |
+
"loss": 2.0766,
|
| 1960 |
+
"num_input_tokens_seen": 4347894913,
|
| 1961 |
+
"step": 9000
|
| 1962 |
+
},
|
| 1963 |
+
{
|
| 1964 |
+
"epoch": 2.172367487967168,
|
| 1965 |
+
"eval_loss": 1.968759536743164,
|
| 1966 |
+
"eval_mean_token_accuracy": 0.5784085558767724,
|
| 1967 |
+
"eval_num_tokens": 1832187809.0,
|
| 1968 |
+
"eval_runtime": 130.1161,
|
| 1969 |
+
"eval_samples_per_second": 82.326,
|
| 1970 |
+
"eval_steps_per_second": 20.582,
|
| 1971 |
+
"num_input_tokens_seen": 4347894913,
|
| 1972 |
+
"step": 9000
|
| 1973 |
}
|
| 1974 |
],
|
| 1975 |
"logging_steps": 50,
|
| 1976 |
"max_steps": 16568,
|
| 1977 |
+
"num_input_tokens_seen": 4347894913,
|
| 1978 |
"num_train_epochs": 4,
|
| 1979 |
"save_steps": 1000,
|
| 1980 |
"stateful_callbacks": {
|
|
|
|
| 1989 |
"attributes": {}
|
| 1990 |
}
|
| 1991 |
},
|
| 1992 |
+
"total_flos": 1.163104324681851e+18,
|
| 1993 |
"train_batch_size": 16,
|
| 1994 |
"trial_name": null,
|
| 1995 |
"trial_params": null
|