Training in progress, step 386, 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 100198584
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7d467248f80e50b7299be4a044d3c34650a4bb3d921ee97e1d2cbac5af5b7fc6
|
3 |
size 100198584
|
last-checkpoint/optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 50675604
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ea91a98de0b3ad51bc037e37c58325d581d5d9a687104d1c0db3b0ba2b46168e
|
3 |
size 50675604
|
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 sha256:43819302638e139ec073cc0bd87e7c492c70c5966a60959bb8d025a1d3e72519
|
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,
|
@@ -1827,6 +1827,888 @@
|
|
1827 |
"learning_rate": 1.6054254007398274e-05,
|
1828 |
"loss": 1.1638,
|
1829 |
"step": 260
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1830 |
}
|
1831 |
],
|
1832 |
"logging_steps": 1,
|
@@ -1846,7 +2728,7 @@
|
|
1846 |
"attributes": {}
|
1847 |
}
|
1848 |
},
|
1849 |
-
"total_flos":
|
1850 |
"train_batch_size": 4,
|
1851 |
"trial_name": null,
|
1852 |
"trial_params": null
|
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.4235939643347051,
|
5 |
"eval_steps": 500,
|
6 |
+
"global_step": 386,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
|
|
1827 |
"learning_rate": 1.6054254007398274e-05,
|
1828 |
"loss": 1.1638,
|
1829 |
"step": 260
|
1830 |
+
},
|
1831 |
+
{
|
1832 |
+
"epoch": 0.28641975308641976,
|
1833 |
+
"grad_norm": 0.10320425778627396,
|
1834 |
+
"learning_rate": 1.6029593094944513e-05,
|
1835 |
+
"loss": 1.1553,
|
1836 |
+
"step": 261
|
1837 |
+
},
|
1838 |
+
{
|
1839 |
+
"epoch": 0.28751714677640605,
|
1840 |
+
"grad_norm": 0.14395684003829956,
|
1841 |
+
"learning_rate": 1.6004932182490752e-05,
|
1842 |
+
"loss": 1.1875,
|
1843 |
+
"step": 262
|
1844 |
+
},
|
1845 |
+
{
|
1846 |
+
"epoch": 0.28861454046639234,
|
1847 |
+
"grad_norm": 0.11742989718914032,
|
1848 |
+
"learning_rate": 1.5980271270036994e-05,
|
1849 |
+
"loss": 1.1434,
|
1850 |
+
"step": 263
|
1851 |
+
},
|
1852 |
+
{
|
1853 |
+
"epoch": 0.2897119341563786,
|
1854 |
+
"grad_norm": 0.12088185548782349,
|
1855 |
+
"learning_rate": 1.595561035758323e-05,
|
1856 |
+
"loss": 1.1365,
|
1857 |
+
"step": 264
|
1858 |
+
},
|
1859 |
+
{
|
1860 |
+
"epoch": 0.2908093278463649,
|
1861 |
+
"grad_norm": 0.12207765877246857,
|
1862 |
+
"learning_rate": 1.5930949445129472e-05,
|
1863 |
+
"loss": 1.0191,
|
1864 |
+
"step": 265
|
1865 |
+
},
|
1866 |
+
{
|
1867 |
+
"epoch": 0.29190672153635117,
|
1868 |
+
"grad_norm": 0.12891145050525665,
|
1869 |
+
"learning_rate": 1.590628853267571e-05,
|
1870 |
+
"loss": 1.1808,
|
1871 |
+
"step": 266
|
1872 |
+
},
|
1873 |
+
{
|
1874 |
+
"epoch": 0.29300411522633746,
|
1875 |
+
"grad_norm": 0.12283164262771606,
|
1876 |
+
"learning_rate": 1.588162762022195e-05,
|
1877 |
+
"loss": 1.1244,
|
1878 |
+
"step": 267
|
1879 |
+
},
|
1880 |
+
{
|
1881 |
+
"epoch": 0.29410150891632375,
|
1882 |
+
"grad_norm": 0.11997072398662567,
|
1883 |
+
"learning_rate": 1.585696670776819e-05,
|
1884 |
+
"loss": 1.1481,
|
1885 |
+
"step": 268
|
1886 |
+
},
|
1887 |
+
{
|
1888 |
+
"epoch": 0.29519890260631,
|
1889 |
+
"grad_norm": 0.13282917439937592,
|
1890 |
+
"learning_rate": 1.5832305795314428e-05,
|
1891 |
+
"loss": 1.1222,
|
1892 |
+
"step": 269
|
1893 |
+
},
|
1894 |
+
{
|
1895 |
+
"epoch": 0.2962962962962963,
|
1896 |
+
"grad_norm": 0.11063191294670105,
|
1897 |
+
"learning_rate": 1.5807644882860667e-05,
|
1898 |
+
"loss": 1.2377,
|
1899 |
+
"step": 270
|
1900 |
+
},
|
1901 |
+
{
|
1902 |
+
"epoch": 0.29739368998628257,
|
1903 |
+
"grad_norm": 0.16821421682834625,
|
1904 |
+
"learning_rate": 1.5782983970406906e-05,
|
1905 |
+
"loss": 1.111,
|
1906 |
+
"step": 271
|
1907 |
+
},
|
1908 |
+
{
|
1909 |
+
"epoch": 0.29849108367626886,
|
1910 |
+
"grad_norm": 0.1252758502960205,
|
1911 |
+
"learning_rate": 1.5758323057953148e-05,
|
1912 |
+
"loss": 1.1257,
|
1913 |
+
"step": 272
|
1914 |
+
},
|
1915 |
+
{
|
1916 |
+
"epoch": 0.29958847736625516,
|
1917 |
+
"grad_norm": 0.11989396065473557,
|
1918 |
+
"learning_rate": 1.5733662145499384e-05,
|
1919 |
+
"loss": 1.2035,
|
1920 |
+
"step": 273
|
1921 |
+
},
|
1922 |
+
{
|
1923 |
+
"epoch": 0.30068587105624145,
|
1924 |
+
"grad_norm": 0.122134268283844,
|
1925 |
+
"learning_rate": 1.5709001233045626e-05,
|
1926 |
+
"loss": 1.1897,
|
1927 |
+
"step": 274
|
1928 |
+
},
|
1929 |
+
{
|
1930 |
+
"epoch": 0.3017832647462277,
|
1931 |
+
"grad_norm": 0.1424403041601181,
|
1932 |
+
"learning_rate": 1.5684340320591865e-05,
|
1933 |
+
"loss": 1.136,
|
1934 |
+
"step": 275
|
1935 |
+
},
|
1936 |
+
{
|
1937 |
+
"epoch": 0.302880658436214,
|
1938 |
+
"grad_norm": 0.11523528397083282,
|
1939 |
+
"learning_rate": 1.5659679408138104e-05,
|
1940 |
+
"loss": 1.1721,
|
1941 |
+
"step": 276
|
1942 |
+
},
|
1943 |
+
{
|
1944 |
+
"epoch": 0.30397805212620027,
|
1945 |
+
"grad_norm": 0.1188586950302124,
|
1946 |
+
"learning_rate": 1.5635018495684343e-05,
|
1947 |
+
"loss": 1.196,
|
1948 |
+
"step": 277
|
1949 |
+
},
|
1950 |
+
{
|
1951 |
+
"epoch": 0.30507544581618656,
|
1952 |
+
"grad_norm": 0.09858889132738113,
|
1953 |
+
"learning_rate": 1.561035758323058e-05,
|
1954 |
+
"loss": 1.1256,
|
1955 |
+
"step": 278
|
1956 |
+
},
|
1957 |
+
{
|
1958 |
+
"epoch": 0.30617283950617286,
|
1959 |
+
"grad_norm": 0.13993050158023834,
|
1960 |
+
"learning_rate": 1.558569667077682e-05,
|
1961 |
+
"loss": 1.142,
|
1962 |
+
"step": 279
|
1963 |
+
},
|
1964 |
+
{
|
1965 |
+
"epoch": 0.30727023319615915,
|
1966 |
+
"grad_norm": 0.11930122971534729,
|
1967 |
+
"learning_rate": 1.556103575832306e-05,
|
1968 |
+
"loss": 1.1358,
|
1969 |
+
"step": 280
|
1970 |
+
},
|
1971 |
+
{
|
1972 |
+
"epoch": 0.3083676268861454,
|
1973 |
+
"grad_norm": 0.12060839682817459,
|
1974 |
+
"learning_rate": 1.5536374845869298e-05,
|
1975 |
+
"loss": 1.2019,
|
1976 |
+
"step": 281
|
1977 |
+
},
|
1978 |
+
{
|
1979 |
+
"epoch": 0.3094650205761317,
|
1980 |
+
"grad_norm": 0.11242841929197311,
|
1981 |
+
"learning_rate": 1.5511713933415537e-05,
|
1982 |
+
"loss": 1.0959,
|
1983 |
+
"step": 282
|
1984 |
+
},
|
1985 |
+
{
|
1986 |
+
"epoch": 0.31056241426611797,
|
1987 |
+
"grad_norm": 0.12150558829307556,
|
1988 |
+
"learning_rate": 1.5487053020961776e-05,
|
1989 |
+
"loss": 1.1794,
|
1990 |
+
"step": 283
|
1991 |
+
},
|
1992 |
+
{
|
1993 |
+
"epoch": 0.31165980795610426,
|
1994 |
+
"grad_norm": 0.13793016970157623,
|
1995 |
+
"learning_rate": 1.5462392108508015e-05,
|
1996 |
+
"loss": 1.0896,
|
1997 |
+
"step": 284
|
1998 |
+
},
|
1999 |
+
{
|
2000 |
+
"epoch": 0.31275720164609055,
|
2001 |
+
"grad_norm": 0.1277860403060913,
|
2002 |
+
"learning_rate": 1.5437731196054254e-05,
|
2003 |
+
"loss": 1.1495,
|
2004 |
+
"step": 285
|
2005 |
+
},
|
2006 |
+
{
|
2007 |
+
"epoch": 0.3138545953360768,
|
2008 |
+
"grad_norm": 0.12210772931575775,
|
2009 |
+
"learning_rate": 1.5413070283600496e-05,
|
2010 |
+
"loss": 1.108,
|
2011 |
+
"step": 286
|
2012 |
+
},
|
2013 |
+
{
|
2014 |
+
"epoch": 0.3149519890260631,
|
2015 |
+
"grad_norm": 0.11492680013179779,
|
2016 |
+
"learning_rate": 1.538840937114673e-05,
|
2017 |
+
"loss": 1.1468,
|
2018 |
+
"step": 287
|
2019 |
+
},
|
2020 |
+
{
|
2021 |
+
"epoch": 0.3160493827160494,
|
2022 |
+
"grad_norm": 0.10993566364049911,
|
2023 |
+
"learning_rate": 1.5363748458692974e-05,
|
2024 |
+
"loss": 1.0821,
|
2025 |
+
"step": 288
|
2026 |
+
},
|
2027 |
+
{
|
2028 |
+
"epoch": 0.31714677640603567,
|
2029 |
+
"grad_norm": 0.11138095706701279,
|
2030 |
+
"learning_rate": 1.5339087546239213e-05,
|
2031 |
+
"loss": 1.1024,
|
2032 |
+
"step": 289
|
2033 |
+
},
|
2034 |
+
{
|
2035 |
+
"epoch": 0.31824417009602196,
|
2036 |
+
"grad_norm": 0.12479337304830551,
|
2037 |
+
"learning_rate": 1.5314426633785452e-05,
|
2038 |
+
"loss": 1.1282,
|
2039 |
+
"step": 290
|
2040 |
+
},
|
2041 |
+
{
|
2042 |
+
"epoch": 0.31934156378600825,
|
2043 |
+
"grad_norm": 0.1219845563173294,
|
2044 |
+
"learning_rate": 1.528976572133169e-05,
|
2045 |
+
"loss": 1.1404,
|
2046 |
+
"step": 291
|
2047 |
+
},
|
2048 |
+
{
|
2049 |
+
"epoch": 0.3204389574759945,
|
2050 |
+
"grad_norm": 0.1182159036397934,
|
2051 |
+
"learning_rate": 1.526510480887793e-05,
|
2052 |
+
"loss": 1.173,
|
2053 |
+
"step": 292
|
2054 |
+
},
|
2055 |
+
{
|
2056 |
+
"epoch": 0.3215363511659808,
|
2057 |
+
"grad_norm": 0.11335504055023193,
|
2058 |
+
"learning_rate": 1.5240443896424168e-05,
|
2059 |
+
"loss": 1.1762,
|
2060 |
+
"step": 293
|
2061 |
+
},
|
2062 |
+
{
|
2063 |
+
"epoch": 0.3226337448559671,
|
2064 |
+
"grad_norm": 0.11732617020606995,
|
2065 |
+
"learning_rate": 1.5215782983970409e-05,
|
2066 |
+
"loss": 1.1762,
|
2067 |
+
"step": 294
|
2068 |
+
},
|
2069 |
+
{
|
2070 |
+
"epoch": 0.32373113854595337,
|
2071 |
+
"grad_norm": 0.1295761615037918,
|
2072 |
+
"learning_rate": 1.5191122071516646e-05,
|
2073 |
+
"loss": 1.0506,
|
2074 |
+
"step": 295
|
2075 |
+
},
|
2076 |
+
{
|
2077 |
+
"epoch": 0.32482853223593966,
|
2078 |
+
"grad_norm": 0.11054473370313644,
|
2079 |
+
"learning_rate": 1.5166461159062887e-05,
|
2080 |
+
"loss": 1.0934,
|
2081 |
+
"step": 296
|
2082 |
+
},
|
2083 |
+
{
|
2084 |
+
"epoch": 0.32592592592592595,
|
2085 |
+
"grad_norm": 0.11660335958003998,
|
2086 |
+
"learning_rate": 1.5141800246609126e-05,
|
2087 |
+
"loss": 1.0956,
|
2088 |
+
"step": 297
|
2089 |
+
},
|
2090 |
+
{
|
2091 |
+
"epoch": 0.3270233196159122,
|
2092 |
+
"grad_norm": 0.10848717391490936,
|
2093 |
+
"learning_rate": 1.5117139334155365e-05,
|
2094 |
+
"loss": 1.1147,
|
2095 |
+
"step": 298
|
2096 |
+
},
|
2097 |
+
{
|
2098 |
+
"epoch": 0.3281207133058985,
|
2099 |
+
"grad_norm": 0.11791523545980453,
|
2100 |
+
"learning_rate": 1.5092478421701604e-05,
|
2101 |
+
"loss": 1.1918,
|
2102 |
+
"step": 299
|
2103 |
+
},
|
2104 |
+
{
|
2105 |
+
"epoch": 0.3292181069958848,
|
2106 |
+
"grad_norm": 0.11942354589700699,
|
2107 |
+
"learning_rate": 1.5067817509247844e-05,
|
2108 |
+
"loss": 1.2093,
|
2109 |
+
"step": 300
|
2110 |
+
},
|
2111 |
+
{
|
2112 |
+
"epoch": 0.33031550068587107,
|
2113 |
+
"grad_norm": 0.11650928854942322,
|
2114 |
+
"learning_rate": 1.5043156596794081e-05,
|
2115 |
+
"loss": 1.1171,
|
2116 |
+
"step": 301
|
2117 |
+
},
|
2118 |
+
{
|
2119 |
+
"epoch": 0.33141289437585736,
|
2120 |
+
"grad_norm": 0.1390320360660553,
|
2121 |
+
"learning_rate": 1.5018495684340322e-05,
|
2122 |
+
"loss": 1.0934,
|
2123 |
+
"step": 302
|
2124 |
+
},
|
2125 |
+
{
|
2126 |
+
"epoch": 0.3325102880658436,
|
2127 |
+
"grad_norm": 0.1456214338541031,
|
2128 |
+
"learning_rate": 1.4993834771886561e-05,
|
2129 |
+
"loss": 1.0721,
|
2130 |
+
"step": 303
|
2131 |
+
},
|
2132 |
+
{
|
2133 |
+
"epoch": 0.3336076817558299,
|
2134 |
+
"grad_norm": 0.11829102784395218,
|
2135 |
+
"learning_rate": 1.49691738594328e-05,
|
2136 |
+
"loss": 1.1352,
|
2137 |
+
"step": 304
|
2138 |
+
},
|
2139 |
+
{
|
2140 |
+
"epoch": 0.3347050754458162,
|
2141 |
+
"grad_norm": 0.11520489305257797,
|
2142 |
+
"learning_rate": 1.4944512946979039e-05,
|
2143 |
+
"loss": 1.1205,
|
2144 |
+
"step": 305
|
2145 |
+
},
|
2146 |
+
{
|
2147 |
+
"epoch": 0.3358024691358025,
|
2148 |
+
"grad_norm": 0.1192188486456871,
|
2149 |
+
"learning_rate": 1.491985203452528e-05,
|
2150 |
+
"loss": 1.0658,
|
2151 |
+
"step": 306
|
2152 |
+
},
|
2153 |
+
{
|
2154 |
+
"epoch": 0.33689986282578877,
|
2155 |
+
"grad_norm": 0.12938235700130463,
|
2156 |
+
"learning_rate": 1.4895191122071517e-05,
|
2157 |
+
"loss": 1.2173,
|
2158 |
+
"step": 307
|
2159 |
+
},
|
2160 |
+
{
|
2161 |
+
"epoch": 0.33799725651577506,
|
2162 |
+
"grad_norm": 0.11106622219085693,
|
2163 |
+
"learning_rate": 1.4870530209617757e-05,
|
2164 |
+
"loss": 1.0982,
|
2165 |
+
"step": 308
|
2166 |
+
},
|
2167 |
+
{
|
2168 |
+
"epoch": 0.3390946502057613,
|
2169 |
+
"grad_norm": 0.11311810463666916,
|
2170 |
+
"learning_rate": 1.4845869297163998e-05,
|
2171 |
+
"loss": 1.0987,
|
2172 |
+
"step": 309
|
2173 |
+
},
|
2174 |
+
{
|
2175 |
+
"epoch": 0.3401920438957476,
|
2176 |
+
"grad_norm": 0.14787402749061584,
|
2177 |
+
"learning_rate": 1.4821208384710235e-05,
|
2178 |
+
"loss": 1.2011,
|
2179 |
+
"step": 310
|
2180 |
+
},
|
2181 |
+
{
|
2182 |
+
"epoch": 0.3412894375857339,
|
2183 |
+
"grad_norm": 0.12094119936227798,
|
2184 |
+
"learning_rate": 1.4796547472256476e-05,
|
2185 |
+
"loss": 1.0972,
|
2186 |
+
"step": 311
|
2187 |
+
},
|
2188 |
+
{
|
2189 |
+
"epoch": 0.34238683127572017,
|
2190 |
+
"grad_norm": 0.12174614518880844,
|
2191 |
+
"learning_rate": 1.4771886559802713e-05,
|
2192 |
+
"loss": 1.2196,
|
2193 |
+
"step": 312
|
2194 |
+
},
|
2195 |
+
{
|
2196 |
+
"epoch": 0.34348422496570646,
|
2197 |
+
"grad_norm": 0.12063402682542801,
|
2198 |
+
"learning_rate": 1.4747225647348953e-05,
|
2199 |
+
"loss": 1.0724,
|
2200 |
+
"step": 313
|
2201 |
+
},
|
2202 |
+
{
|
2203 |
+
"epoch": 0.34458161865569276,
|
2204 |
+
"grad_norm": 0.1335890144109726,
|
2205 |
+
"learning_rate": 1.4722564734895192e-05,
|
2206 |
+
"loss": 1.2439,
|
2207 |
+
"step": 314
|
2208 |
+
},
|
2209 |
+
{
|
2210 |
+
"epoch": 0.345679012345679,
|
2211 |
+
"grad_norm": 0.120571069419384,
|
2212 |
+
"learning_rate": 1.4697903822441431e-05,
|
2213 |
+
"loss": 1.1374,
|
2214 |
+
"step": 315
|
2215 |
+
},
|
2216 |
+
{
|
2217 |
+
"epoch": 0.3467764060356653,
|
2218 |
+
"grad_norm": 0.1246613934636116,
|
2219 |
+
"learning_rate": 1.467324290998767e-05,
|
2220 |
+
"loss": 1.1456,
|
2221 |
+
"step": 316
|
2222 |
+
},
|
2223 |
+
{
|
2224 |
+
"epoch": 0.3478737997256516,
|
2225 |
+
"grad_norm": 0.1251581907272339,
|
2226 |
+
"learning_rate": 1.464858199753391e-05,
|
2227 |
+
"loss": 1.1829,
|
2228 |
+
"step": 317
|
2229 |
+
},
|
2230 |
+
{
|
2231 |
+
"epoch": 0.34897119341563787,
|
2232 |
+
"grad_norm": 0.12001658231019974,
|
2233 |
+
"learning_rate": 1.4623921085080148e-05,
|
2234 |
+
"loss": 1.2,
|
2235 |
+
"step": 318
|
2236 |
+
},
|
2237 |
+
{
|
2238 |
+
"epoch": 0.35006858710562416,
|
2239 |
+
"grad_norm": 0.11571818590164185,
|
2240 |
+
"learning_rate": 1.4599260172626389e-05,
|
2241 |
+
"loss": 1.0829,
|
2242 |
+
"step": 319
|
2243 |
+
},
|
2244 |
+
{
|
2245 |
+
"epoch": 0.3511659807956104,
|
2246 |
+
"grad_norm": 0.11667678505182266,
|
2247 |
+
"learning_rate": 1.4574599260172627e-05,
|
2248 |
+
"loss": 1.1365,
|
2249 |
+
"step": 320
|
2250 |
+
},
|
2251 |
+
{
|
2252 |
+
"epoch": 0.3522633744855967,
|
2253 |
+
"grad_norm": 0.13005587458610535,
|
2254 |
+
"learning_rate": 1.4549938347718866e-05,
|
2255 |
+
"loss": 1.0685,
|
2256 |
+
"step": 321
|
2257 |
+
},
|
2258 |
+
{
|
2259 |
+
"epoch": 0.353360768175583,
|
2260 |
+
"grad_norm": 0.13064813613891602,
|
2261 |
+
"learning_rate": 1.4525277435265105e-05,
|
2262 |
+
"loss": 1.1665,
|
2263 |
+
"step": 322
|
2264 |
+
},
|
2265 |
+
{
|
2266 |
+
"epoch": 0.3544581618655693,
|
2267 |
+
"grad_norm": 0.11439865827560425,
|
2268 |
+
"learning_rate": 1.4500616522811346e-05,
|
2269 |
+
"loss": 1.0968,
|
2270 |
+
"step": 323
|
2271 |
+
},
|
2272 |
+
{
|
2273 |
+
"epoch": 0.35555555555555557,
|
2274 |
+
"grad_norm": 0.11633537709712982,
|
2275 |
+
"learning_rate": 1.4475955610357583e-05,
|
2276 |
+
"loss": 1.2706,
|
2277 |
+
"step": 324
|
2278 |
+
},
|
2279 |
+
{
|
2280 |
+
"epoch": 0.35665294924554186,
|
2281 |
+
"grad_norm": 0.11462391167879105,
|
2282 |
+
"learning_rate": 1.4451294697903824e-05,
|
2283 |
+
"loss": 1.2981,
|
2284 |
+
"step": 325
|
2285 |
+
},
|
2286 |
+
{
|
2287 |
+
"epoch": 0.3577503429355281,
|
2288 |
+
"grad_norm": 0.11040814965963364,
|
2289 |
+
"learning_rate": 1.4426633785450064e-05,
|
2290 |
+
"loss": 1.0935,
|
2291 |
+
"step": 326
|
2292 |
+
},
|
2293 |
+
{
|
2294 |
+
"epoch": 0.3588477366255144,
|
2295 |
+
"grad_norm": 0.14056402444839478,
|
2296 |
+
"learning_rate": 1.4401972872996302e-05,
|
2297 |
+
"loss": 1.1784,
|
2298 |
+
"step": 327
|
2299 |
+
},
|
2300 |
+
{
|
2301 |
+
"epoch": 0.3599451303155007,
|
2302 |
+
"grad_norm": 0.12376075237989426,
|
2303 |
+
"learning_rate": 1.4377311960542542e-05,
|
2304 |
+
"loss": 1.1781,
|
2305 |
+
"step": 328
|
2306 |
+
},
|
2307 |
+
{
|
2308 |
+
"epoch": 0.361042524005487,
|
2309 |
+
"grad_norm": 0.13468991219997406,
|
2310 |
+
"learning_rate": 1.4352651048088781e-05,
|
2311 |
+
"loss": 1.151,
|
2312 |
+
"step": 329
|
2313 |
+
},
|
2314 |
+
{
|
2315 |
+
"epoch": 0.36213991769547327,
|
2316 |
+
"grad_norm": 0.11974407732486725,
|
2317 |
+
"learning_rate": 1.432799013563502e-05,
|
2318 |
+
"loss": 1.0996,
|
2319 |
+
"step": 330
|
2320 |
+
},
|
2321 |
+
{
|
2322 |
+
"epoch": 0.36323731138545956,
|
2323 |
+
"grad_norm": 0.13505803048610687,
|
2324 |
+
"learning_rate": 1.4303329223181259e-05,
|
2325 |
+
"loss": 1.0323,
|
2326 |
+
"step": 331
|
2327 |
+
},
|
2328 |
+
{
|
2329 |
+
"epoch": 0.3643347050754458,
|
2330 |
+
"grad_norm": 0.13089002668857574,
|
2331 |
+
"learning_rate": 1.4278668310727498e-05,
|
2332 |
+
"loss": 1.0352,
|
2333 |
+
"step": 332
|
2334 |
+
},
|
2335 |
+
{
|
2336 |
+
"epoch": 0.3654320987654321,
|
2337 |
+
"grad_norm": 0.13586758077144623,
|
2338 |
+
"learning_rate": 1.4254007398273737e-05,
|
2339 |
+
"loss": 1.1415,
|
2340 |
+
"step": 333
|
2341 |
+
},
|
2342 |
+
{
|
2343 |
+
"epoch": 0.3665294924554184,
|
2344 |
+
"grad_norm": 0.13658414781093597,
|
2345 |
+
"learning_rate": 1.4229346485819977e-05,
|
2346 |
+
"loss": 1.2563,
|
2347 |
+
"step": 334
|
2348 |
+
},
|
2349 |
+
{
|
2350 |
+
"epoch": 0.3676268861454047,
|
2351 |
+
"grad_norm": 0.13994932174682617,
|
2352 |
+
"learning_rate": 1.4204685573366214e-05,
|
2353 |
+
"loss": 1.1559,
|
2354 |
+
"step": 335
|
2355 |
+
},
|
2356 |
+
{
|
2357 |
+
"epoch": 0.36872427983539097,
|
2358 |
+
"grad_norm": 0.11985601484775543,
|
2359 |
+
"learning_rate": 1.4180024660912455e-05,
|
2360 |
+
"loss": 1.1639,
|
2361 |
+
"step": 336
|
2362 |
+
},
|
2363 |
+
{
|
2364 |
+
"epoch": 0.3698216735253772,
|
2365 |
+
"grad_norm": 0.15504884719848633,
|
2366 |
+
"learning_rate": 1.4155363748458694e-05,
|
2367 |
+
"loss": 1.0932,
|
2368 |
+
"step": 337
|
2369 |
+
},
|
2370 |
+
{
|
2371 |
+
"epoch": 0.3709190672153635,
|
2372 |
+
"grad_norm": 0.11062606424093246,
|
2373 |
+
"learning_rate": 1.4130702836004933e-05,
|
2374 |
+
"loss": 1.1327,
|
2375 |
+
"step": 338
|
2376 |
+
},
|
2377 |
+
{
|
2378 |
+
"epoch": 0.3720164609053498,
|
2379 |
+
"grad_norm": 0.13901466131210327,
|
2380 |
+
"learning_rate": 1.4106041923551172e-05,
|
2381 |
+
"loss": 1.1924,
|
2382 |
+
"step": 339
|
2383 |
+
},
|
2384 |
+
{
|
2385 |
+
"epoch": 0.3731138545953361,
|
2386 |
+
"grad_norm": 0.1262989044189453,
|
2387 |
+
"learning_rate": 1.4081381011097412e-05,
|
2388 |
+
"loss": 1.1411,
|
2389 |
+
"step": 340
|
2390 |
+
},
|
2391 |
+
{
|
2392 |
+
"epoch": 0.3742112482853224,
|
2393 |
+
"grad_norm": 0.1387164443731308,
|
2394 |
+
"learning_rate": 1.405672009864365e-05,
|
2395 |
+
"loss": 1.116,
|
2396 |
+
"step": 341
|
2397 |
+
},
|
2398 |
+
{
|
2399 |
+
"epoch": 0.37530864197530867,
|
2400 |
+
"grad_norm": 0.13789041340351105,
|
2401 |
+
"learning_rate": 1.403205918618989e-05,
|
2402 |
+
"loss": 1.1003,
|
2403 |
+
"step": 342
|
2404 |
+
},
|
2405 |
+
{
|
2406 |
+
"epoch": 0.3764060356652949,
|
2407 |
+
"grad_norm": 0.12197256088256836,
|
2408 |
+
"learning_rate": 1.400739827373613e-05,
|
2409 |
+
"loss": 1.1363,
|
2410 |
+
"step": 343
|
2411 |
+
},
|
2412 |
+
{
|
2413 |
+
"epoch": 0.3775034293552812,
|
2414 |
+
"grad_norm": 0.11622656881809235,
|
2415 |
+
"learning_rate": 1.3982737361282368e-05,
|
2416 |
+
"loss": 1.2004,
|
2417 |
+
"step": 344
|
2418 |
+
},
|
2419 |
+
{
|
2420 |
+
"epoch": 0.3786008230452675,
|
2421 |
+
"grad_norm": 0.13322965800762177,
|
2422 |
+
"learning_rate": 1.3958076448828609e-05,
|
2423 |
+
"loss": 1.0868,
|
2424 |
+
"step": 345
|
2425 |
+
},
|
2426 |
+
{
|
2427 |
+
"epoch": 0.3796982167352538,
|
2428 |
+
"grad_norm": 0.13613948225975037,
|
2429 |
+
"learning_rate": 1.3933415536374848e-05,
|
2430 |
+
"loss": 1.0893,
|
2431 |
+
"step": 346
|
2432 |
+
},
|
2433 |
+
{
|
2434 |
+
"epoch": 0.38079561042524007,
|
2435 |
+
"grad_norm": 0.12749332189559937,
|
2436 |
+
"learning_rate": 1.3908754623921086e-05,
|
2437 |
+
"loss": 1.1242,
|
2438 |
+
"step": 347
|
2439 |
+
},
|
2440 |
+
{
|
2441 |
+
"epoch": 0.38189300411522636,
|
2442 |
+
"grad_norm": 0.13489745557308197,
|
2443 |
+
"learning_rate": 1.3884093711467325e-05,
|
2444 |
+
"loss": 1.0463,
|
2445 |
+
"step": 348
|
2446 |
+
},
|
2447 |
+
{
|
2448 |
+
"epoch": 0.3829903978052126,
|
2449 |
+
"grad_norm": 0.13293969631195068,
|
2450 |
+
"learning_rate": 1.3859432799013564e-05,
|
2451 |
+
"loss": 1.0682,
|
2452 |
+
"step": 349
|
2453 |
+
},
|
2454 |
+
{
|
2455 |
+
"epoch": 0.3840877914951989,
|
2456 |
+
"grad_norm": 0.13386596739292145,
|
2457 |
+
"learning_rate": 1.3834771886559803e-05,
|
2458 |
+
"loss": 1.1216,
|
2459 |
+
"step": 350
|
2460 |
+
},
|
2461 |
+
{
|
2462 |
+
"epoch": 0.3851851851851852,
|
2463 |
+
"grad_norm": 0.1273600161075592,
|
2464 |
+
"learning_rate": 1.3810110974106044e-05,
|
2465 |
+
"loss": 1.1638,
|
2466 |
+
"step": 351
|
2467 |
+
},
|
2468 |
+
{
|
2469 |
+
"epoch": 0.3862825788751715,
|
2470 |
+
"grad_norm": 0.113369882106781,
|
2471 |
+
"learning_rate": 1.3785450061652281e-05,
|
2472 |
+
"loss": 1.0776,
|
2473 |
+
"step": 352
|
2474 |
+
},
|
2475 |
+
{
|
2476 |
+
"epoch": 0.38737997256515777,
|
2477 |
+
"grad_norm": 0.13265594840049744,
|
2478 |
+
"learning_rate": 1.3760789149198522e-05,
|
2479 |
+
"loss": 1.1413,
|
2480 |
+
"step": 353
|
2481 |
+
},
|
2482 |
+
{
|
2483 |
+
"epoch": 0.388477366255144,
|
2484 |
+
"grad_norm": 0.10907372832298279,
|
2485 |
+
"learning_rate": 1.373612823674476e-05,
|
2486 |
+
"loss": 1.1685,
|
2487 |
+
"step": 354
|
2488 |
+
},
|
2489 |
+
{
|
2490 |
+
"epoch": 0.3895747599451303,
|
2491 |
+
"grad_norm": 0.14246472716331482,
|
2492 |
+
"learning_rate": 1.3711467324291e-05,
|
2493 |
+
"loss": 1.1737,
|
2494 |
+
"step": 355
|
2495 |
+
},
|
2496 |
+
{
|
2497 |
+
"epoch": 0.3906721536351166,
|
2498 |
+
"grad_norm": 0.11236773431301117,
|
2499 |
+
"learning_rate": 1.3686806411837238e-05,
|
2500 |
+
"loss": 1.2439,
|
2501 |
+
"step": 356
|
2502 |
+
},
|
2503 |
+
{
|
2504 |
+
"epoch": 0.3917695473251029,
|
2505 |
+
"grad_norm": 0.14173471927642822,
|
2506 |
+
"learning_rate": 1.3662145499383479e-05,
|
2507 |
+
"loss": 1.0831,
|
2508 |
+
"step": 357
|
2509 |
+
},
|
2510 |
+
{
|
2511 |
+
"epoch": 0.3928669410150892,
|
2512 |
+
"grad_norm": 0.13366690278053284,
|
2513 |
+
"learning_rate": 1.3637484586929716e-05,
|
2514 |
+
"loss": 1.1333,
|
2515 |
+
"step": 358
|
2516 |
+
},
|
2517 |
+
{
|
2518 |
+
"epoch": 0.39396433470507547,
|
2519 |
+
"grad_norm": 0.14148059487342834,
|
2520 |
+
"learning_rate": 1.3612823674475957e-05,
|
2521 |
+
"loss": 1.1519,
|
2522 |
+
"step": 359
|
2523 |
+
},
|
2524 |
+
{
|
2525 |
+
"epoch": 0.3950617283950617,
|
2526 |
+
"grad_norm": 0.11044170707464218,
|
2527 |
+
"learning_rate": 1.3588162762022197e-05,
|
2528 |
+
"loss": 1.255,
|
2529 |
+
"step": 360
|
2530 |
+
},
|
2531 |
+
{
|
2532 |
+
"epoch": 0.396159122085048,
|
2533 |
+
"grad_norm": 0.11801745742559433,
|
2534 |
+
"learning_rate": 1.3563501849568435e-05,
|
2535 |
+
"loss": 1.0922,
|
2536 |
+
"step": 361
|
2537 |
+
},
|
2538 |
+
{
|
2539 |
+
"epoch": 0.3972565157750343,
|
2540 |
+
"grad_norm": 0.11835184693336487,
|
2541 |
+
"learning_rate": 1.3538840937114675e-05,
|
2542 |
+
"loss": 1.1125,
|
2543 |
+
"step": 362
|
2544 |
+
},
|
2545 |
+
{
|
2546 |
+
"epoch": 0.3983539094650206,
|
2547 |
+
"grad_norm": 0.1362667679786682,
|
2548 |
+
"learning_rate": 1.3514180024660914e-05,
|
2549 |
+
"loss": 1.1118,
|
2550 |
+
"step": 363
|
2551 |
+
},
|
2552 |
+
{
|
2553 |
+
"epoch": 0.3994513031550069,
|
2554 |
+
"grad_norm": 0.1164252832531929,
|
2555 |
+
"learning_rate": 1.3489519112207153e-05,
|
2556 |
+
"loss": 1.0671,
|
2557 |
+
"step": 364
|
2558 |
+
},
|
2559 |
+
{
|
2560 |
+
"epoch": 0.40054869684499317,
|
2561 |
+
"grad_norm": 0.12106901407241821,
|
2562 |
+
"learning_rate": 1.3464858199753392e-05,
|
2563 |
+
"loss": 1.1901,
|
2564 |
+
"step": 365
|
2565 |
+
},
|
2566 |
+
{
|
2567 |
+
"epoch": 0.4016460905349794,
|
2568 |
+
"grad_norm": 0.1594018191099167,
|
2569 |
+
"learning_rate": 1.3440197287299632e-05,
|
2570 |
+
"loss": 1.0512,
|
2571 |
+
"step": 366
|
2572 |
+
},
|
2573 |
+
{
|
2574 |
+
"epoch": 0.4027434842249657,
|
2575 |
+
"grad_norm": 0.11015798151493073,
|
2576 |
+
"learning_rate": 1.341553637484587e-05,
|
2577 |
+
"loss": 1.1859,
|
2578 |
+
"step": 367
|
2579 |
+
},
|
2580 |
+
{
|
2581 |
+
"epoch": 0.403840877914952,
|
2582 |
+
"grad_norm": 0.1140451431274414,
|
2583 |
+
"learning_rate": 1.339087546239211e-05,
|
2584 |
+
"loss": 1.093,
|
2585 |
+
"step": 368
|
2586 |
+
},
|
2587 |
+
{
|
2588 |
+
"epoch": 0.4049382716049383,
|
2589 |
+
"grad_norm": 0.1487288475036621,
|
2590 |
+
"learning_rate": 1.3366214549938348e-05,
|
2591 |
+
"loss": 1.2052,
|
2592 |
+
"step": 369
|
2593 |
+
},
|
2594 |
+
{
|
2595 |
+
"epoch": 0.4060356652949246,
|
2596 |
+
"grad_norm": 0.12370628118515015,
|
2597 |
+
"learning_rate": 1.3341553637484588e-05,
|
2598 |
+
"loss": 1.0985,
|
2599 |
+
"step": 370
|
2600 |
+
},
|
2601 |
+
{
|
2602 |
+
"epoch": 0.4071330589849108,
|
2603 |
+
"grad_norm": 0.11730250716209412,
|
2604 |
+
"learning_rate": 1.3316892725030827e-05,
|
2605 |
+
"loss": 1.082,
|
2606 |
+
"step": 371
|
2607 |
+
},
|
2608 |
+
{
|
2609 |
+
"epoch": 0.4082304526748971,
|
2610 |
+
"grad_norm": 0.1203538104891777,
|
2611 |
+
"learning_rate": 1.3292231812577066e-05,
|
2612 |
+
"loss": 1.0728,
|
2613 |
+
"step": 372
|
2614 |
+
},
|
2615 |
+
{
|
2616 |
+
"epoch": 0.4093278463648834,
|
2617 |
+
"grad_norm": 0.11578691750764847,
|
2618 |
+
"learning_rate": 1.3267570900123305e-05,
|
2619 |
+
"loss": 1.1351,
|
2620 |
+
"step": 373
|
2621 |
+
},
|
2622 |
+
{
|
2623 |
+
"epoch": 0.4104252400548697,
|
2624 |
+
"grad_norm": 0.1101141944527626,
|
2625 |
+
"learning_rate": 1.3242909987669545e-05,
|
2626 |
+
"loss": 1.1311,
|
2627 |
+
"step": 374
|
2628 |
+
},
|
2629 |
+
{
|
2630 |
+
"epoch": 0.411522633744856,
|
2631 |
+
"grad_norm": 0.11373890191316605,
|
2632 |
+
"learning_rate": 1.3218249075215783e-05,
|
2633 |
+
"loss": 1.0773,
|
2634 |
+
"step": 375
|
2635 |
+
},
|
2636 |
+
{
|
2637 |
+
"epoch": 0.4126200274348423,
|
2638 |
+
"grad_norm": 0.14648625254631042,
|
2639 |
+
"learning_rate": 1.3193588162762023e-05,
|
2640 |
+
"loss": 1.2263,
|
2641 |
+
"step": 376
|
2642 |
+
},
|
2643 |
+
{
|
2644 |
+
"epoch": 0.4137174211248285,
|
2645 |
+
"grad_norm": 0.11010008305311203,
|
2646 |
+
"learning_rate": 1.3168927250308264e-05,
|
2647 |
+
"loss": 1.1445,
|
2648 |
+
"step": 377
|
2649 |
+
},
|
2650 |
+
{
|
2651 |
+
"epoch": 0.4148148148148148,
|
2652 |
+
"grad_norm": 0.12386184185743332,
|
2653 |
+
"learning_rate": 1.3144266337854501e-05,
|
2654 |
+
"loss": 1.0454,
|
2655 |
+
"step": 378
|
2656 |
+
},
|
2657 |
+
{
|
2658 |
+
"epoch": 0.4159122085048011,
|
2659 |
+
"grad_norm": 0.11810237169265747,
|
2660 |
+
"learning_rate": 1.3119605425400742e-05,
|
2661 |
+
"loss": 1.1877,
|
2662 |
+
"step": 379
|
2663 |
+
},
|
2664 |
+
{
|
2665 |
+
"epoch": 0.4170096021947874,
|
2666 |
+
"grad_norm": 0.1291743367910385,
|
2667 |
+
"learning_rate": 1.309494451294698e-05,
|
2668 |
+
"loss": 1.2161,
|
2669 |
+
"step": 380
|
2670 |
+
},
|
2671 |
+
{
|
2672 |
+
"epoch": 0.4181069958847737,
|
2673 |
+
"grad_norm": 0.115330770611763,
|
2674 |
+
"learning_rate": 1.307028360049322e-05,
|
2675 |
+
"loss": 1.1117,
|
2676 |
+
"step": 381
|
2677 |
+
},
|
2678 |
+
{
|
2679 |
+
"epoch": 0.41920438957476,
|
2680 |
+
"grad_norm": 0.15565675497055054,
|
2681 |
+
"learning_rate": 1.3045622688039458e-05,
|
2682 |
+
"loss": 1.1049,
|
2683 |
+
"step": 382
|
2684 |
+
},
|
2685 |
+
{
|
2686 |
+
"epoch": 0.4203017832647462,
|
2687 |
+
"grad_norm": 0.17110465466976166,
|
2688 |
+
"learning_rate": 1.3020961775585699e-05,
|
2689 |
+
"loss": 1.1047,
|
2690 |
+
"step": 383
|
2691 |
+
},
|
2692 |
+
{
|
2693 |
+
"epoch": 0.4213991769547325,
|
2694 |
+
"grad_norm": 0.12324660271406174,
|
2695 |
+
"learning_rate": 1.2996300863131936e-05,
|
2696 |
+
"loss": 1.091,
|
2697 |
+
"step": 384
|
2698 |
+
},
|
2699 |
+
{
|
2700 |
+
"epoch": 0.4224965706447188,
|
2701 |
+
"grad_norm": 0.14864134788513184,
|
2702 |
+
"learning_rate": 1.2971639950678177e-05,
|
2703 |
+
"loss": 1.1008,
|
2704 |
+
"step": 385
|
2705 |
+
},
|
2706 |
+
{
|
2707 |
+
"epoch": 0.4235939643347051,
|
2708 |
+
"grad_norm": 0.15296033024787903,
|
2709 |
+
"learning_rate": 1.2946979038224414e-05,
|
2710 |
+
"loss": 1.1242,
|
2711 |
+
"step": 386
|
2712 |
}
|
2713 |
],
|
2714 |
"logging_steps": 1,
|
|
|
2728 |
"attributes": {}
|
2729 |
}
|
2730 |
},
|
2731 |
+
"total_flos": 4.0076346624661094e+17,
|
2732 |
"train_batch_size": 4,
|
2733 |
"trial_name": null,
|
2734 |
"trial_params": null
|