drygegedsgryeuj
commited on
Commit
•
9c004ff
1
Parent(s):
84a6c34
Upload folder using huggingface_hub
Browse files- checkpoint-6000/config.json +1 -1
- checkpoint-6000/generation_config.json +1 -1
- checkpoint-6000/model.safetensors +1 -1
- checkpoint-6000/optimizer.pt +1 -1
- checkpoint-6000/rng_state.pth +1 -1
- checkpoint-6000/scheduler.pt +1 -1
- checkpoint-6000/trainer_state.json +211 -211
- checkpoint-6000/training_args.bin +1 -1
- checkpoint-7000/config.json +52 -0
- checkpoint-7000/generation_config.json +264 -0
- checkpoint-7000/model.safetensors +3 -0
- checkpoint-7000/optimizer.pt +3 -0
- checkpoint-7000/preprocessor_config.json +14 -0
- checkpoint-7000/rng_state.pth +3 -0
- checkpoint-7000/scheduler.pt +3 -0
- checkpoint-7000/trainer_state.json +2534 -0
- checkpoint-7000/training_args.bin +3 -0
- config.json +1 -1
- model.safetensors +1 -1
- runs/Mar21_08-10-47_bcaddc5bb6ab/events.out.tfevents.1711008715.bcaddc5bb6ab.2709.0 +3 -0
- training_args.bin +1 -1
checkpoint-6000/config.json
CHANGED
@@ -45,7 +45,7 @@
|
|
45 |
"scale_embedding": false,
|
46 |
"suppress_tokens": [],
|
47 |
"torch_dtype": "float32",
|
48 |
-
"transformers_version": "4.
|
49 |
"use_cache": true,
|
50 |
"use_weighted_layer_sum": false,
|
51 |
"vocab_size": 51865
|
|
|
45 |
"scale_embedding": false,
|
46 |
"suppress_tokens": [],
|
47 |
"torch_dtype": "float32",
|
48 |
+
"transformers_version": "4.40.0.dev0",
|
49 |
"use_cache": true,
|
50 |
"use_weighted_layer_sum": false,
|
51 |
"vocab_size": 51865
|
checkpoint-6000/generation_config.json
CHANGED
@@ -260,5 +260,5 @@
|
|
260 |
"transcribe": 50359,
|
261 |
"translate": 50358
|
262 |
},
|
263 |
-
"transformers_version": "4.
|
264 |
}
|
|
|
260 |
"transcribe": 50359,
|
261 |
"translate": 50358
|
262 |
},
|
263 |
+
"transformers_version": "4.40.0.dev0"
|
264 |
}
|
checkpoint-6000/model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 966995080
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8909283d8000563bfd3db7d5edcd2605ecce0b1839fbd0a92780711a5d4a7722
|
3 |
size 966995080
|
checkpoint-6000/optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 1925064044
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:eee54e2f8e9c7b60f2f243d575cb2d39ff8e05ba9798e6d0d84149faa4eb0c56
|
3 |
size 1925064044
|
checkpoint-6000/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 sha256:25e9e2f7d17aaf8ef1117686a26e029ea78f2dac81f4114b40a5c1acc5aa3f62
|
3 |
size 14244
|
checkpoint-6000/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 sha256:76adbbb734264f4856feb823a4c1aea461381edc37245614c144525334206ebe
|
3 |
size 1064
|
checkpoint-6000/trainer_state.json
CHANGED
@@ -1,7 +1,7 @@
|
|
1 |
{
|
2 |
-
"best_metric":
|
3 |
-
"best_model_checkpoint": "./whisper-small-bn/checkpoint-
|
4 |
-
"epoch":
|
5 |
"eval_steps": 1000,
|
6 |
"global_step": 6000,
|
7 |
"is_hyper_param_search": false,
|
@@ -1804,369 +1804,369 @@
|
|
1804 |
"step": 5000
|
1805 |
},
|
1806 |
{
|
1807 |
-
"epoch":
|
1808 |
-
"grad_norm":
|
1809 |
-
"learning_rate":
|
1810 |
-
"loss": 0.
|
1811 |
"step": 5020
|
1812 |
},
|
1813 |
{
|
1814 |
-
"epoch":
|
1815 |
-
"grad_norm":
|
1816 |
-
"learning_rate":
|
1817 |
-
"loss": 0.
|
1818 |
"step": 5040
|
1819 |
},
|
1820 |
{
|
1821 |
-
"epoch":
|
1822 |
-
"grad_norm":
|
1823 |
-
"learning_rate":
|
1824 |
-
"loss": 0.
|
1825 |
"step": 5060
|
1826 |
},
|
1827 |
{
|
1828 |
-
"epoch":
|
1829 |
-
"grad_norm":
|
1830 |
-
"learning_rate":
|
1831 |
-
"loss": 0.
|
1832 |
"step": 5080
|
1833 |
},
|
1834 |
{
|
1835 |
-
"epoch":
|
1836 |
-
"grad_norm":
|
1837 |
-
"learning_rate":
|
1838 |
-
"loss": 0.
|
1839 |
"step": 5100
|
1840 |
},
|
1841 |
{
|
1842 |
-
"epoch":
|
1843 |
-
"grad_norm":
|
1844 |
-
"learning_rate":
|
1845 |
-
"loss": 0.
|
1846 |
"step": 5120
|
1847 |
},
|
1848 |
{
|
1849 |
-
"epoch":
|
1850 |
-
"grad_norm":
|
1851 |
-
"learning_rate":
|
1852 |
-
"loss": 0.
|
1853 |
"step": 5140
|
1854 |
},
|
1855 |
{
|
1856 |
-
"epoch":
|
1857 |
-
"grad_norm":
|
1858 |
-
"learning_rate":
|
1859 |
-
"loss": 0.
|
1860 |
"step": 5160
|
1861 |
},
|
1862 |
{
|
1863 |
-
"epoch":
|
1864 |
-
"grad_norm":
|
1865 |
-
"learning_rate":
|
1866 |
-
"loss": 0.
|
1867 |
"step": 5180
|
1868 |
},
|
1869 |
{
|
1870 |
-
"epoch":
|
1871 |
-
"grad_norm":
|
1872 |
-
"learning_rate":
|
1873 |
-
"loss": 0.
|
1874 |
"step": 5200
|
1875 |
},
|
1876 |
{
|
1877 |
-
"epoch":
|
1878 |
-
"grad_norm":
|
1879 |
-
"learning_rate":
|
1880 |
-
"loss": 0.
|
1881 |
"step": 5220
|
1882 |
},
|
1883 |
{
|
1884 |
-
"epoch":
|
1885 |
-
"grad_norm":
|
1886 |
-
"learning_rate":
|
1887 |
-
"loss": 0.
|
1888 |
"step": 5240
|
1889 |
},
|
1890 |
{
|
1891 |
-
"epoch":
|
1892 |
-
"grad_norm":
|
1893 |
-
"learning_rate":
|
1894 |
-
"loss": 0.
|
1895 |
"step": 5260
|
1896 |
},
|
1897 |
{
|
1898 |
-
"epoch":
|
1899 |
-
"grad_norm":
|
1900 |
-
"learning_rate":
|
1901 |
-
"loss": 0.
|
1902 |
"step": 5280
|
1903 |
},
|
1904 |
{
|
1905 |
-
"epoch":
|
1906 |
-
"grad_norm":
|
1907 |
-
"learning_rate":
|
1908 |
-
"loss": 0.
|
1909 |
"step": 5300
|
1910 |
},
|
1911 |
{
|
1912 |
-
"epoch":
|
1913 |
-
"grad_norm":
|
1914 |
-
"learning_rate":
|
1915 |
-
"loss": 0.
|
1916 |
"step": 5320
|
1917 |
},
|
1918 |
{
|
1919 |
-
"epoch":
|
1920 |
-
"grad_norm":
|
1921 |
-
"learning_rate":
|
1922 |
-
"loss": 0.
|
1923 |
"step": 5340
|
1924 |
},
|
1925 |
{
|
1926 |
-
"epoch":
|
1927 |
-
"grad_norm":
|
1928 |
-
"learning_rate":
|
1929 |
-
"loss": 0.
|
1930 |
"step": 5360
|
1931 |
},
|
1932 |
{
|
1933 |
-
"epoch":
|
1934 |
-
"grad_norm":
|
1935 |
-
"learning_rate":
|
1936 |
-
"loss": 0.
|
1937 |
"step": 5380
|
1938 |
},
|
1939 |
{
|
1940 |
-
"epoch": 4
|
1941 |
-
"grad_norm":
|
1942 |
-
"learning_rate":
|
1943 |
-
"loss": 0.
|
1944 |
"step": 5400
|
1945 |
},
|
1946 |
{
|
1947 |
-
"epoch":
|
1948 |
-
"grad_norm":
|
1949 |
-
"learning_rate":
|
1950 |
-
"loss": 0.
|
1951 |
"step": 5420
|
1952 |
},
|
1953 |
{
|
1954 |
-
"epoch":
|
1955 |
-
"grad_norm":
|
1956 |
-
"learning_rate":
|
1957 |
-
"loss": 0.
|
1958 |
"step": 5440
|
1959 |
},
|
1960 |
{
|
1961 |
-
"epoch":
|
1962 |
-
"grad_norm":
|
1963 |
-
"learning_rate":
|
1964 |
-
"loss": 0.
|
1965 |
"step": 5460
|
1966 |
},
|
1967 |
{
|
1968 |
-
"epoch":
|
1969 |
-
"grad_norm":
|
1970 |
-
"learning_rate":
|
1971 |
-
"loss": 0.
|
1972 |
"step": 5480
|
1973 |
},
|
1974 |
{
|
1975 |
-
"epoch":
|
1976 |
-
"grad_norm":
|
1977 |
-
"learning_rate":
|
1978 |
-
"loss": 0.
|
1979 |
"step": 5500
|
1980 |
},
|
1981 |
{
|
1982 |
-
"epoch":
|
1983 |
-
"grad_norm":
|
1984 |
-
"learning_rate":
|
1985 |
-
"loss": 0.
|
1986 |
"step": 5520
|
1987 |
},
|
1988 |
{
|
1989 |
-
"epoch":
|
1990 |
-
"grad_norm":
|
1991 |
-
"learning_rate":
|
1992 |
-
"loss": 0.
|
1993 |
"step": 5540
|
1994 |
},
|
1995 |
{
|
1996 |
-
"epoch":
|
1997 |
-
"grad_norm":
|
1998 |
-
"learning_rate":
|
1999 |
-
"loss": 0.
|
2000 |
"step": 5560
|
2001 |
},
|
2002 |
{
|
2003 |
-
"epoch":
|
2004 |
-
"grad_norm":
|
2005 |
-
"learning_rate":
|
2006 |
-
"loss": 0.
|
2007 |
"step": 5580
|
2008 |
},
|
2009 |
{
|
2010 |
-
"epoch":
|
2011 |
-
"grad_norm":
|
2012 |
-
"learning_rate":
|
2013 |
-
"loss": 0.
|
2014 |
"step": 5600
|
2015 |
},
|
2016 |
{
|
2017 |
-
"epoch":
|
2018 |
-
"grad_norm":
|
2019 |
-
"learning_rate":
|
2020 |
-
"loss": 0.
|
2021 |
"step": 5620
|
2022 |
},
|
2023 |
{
|
2024 |
-
"epoch":
|
2025 |
-
"grad_norm":
|
2026 |
-
"learning_rate":
|
2027 |
-
"loss": 0.
|
2028 |
"step": 5640
|
2029 |
},
|
2030 |
{
|
2031 |
-
"epoch":
|
2032 |
-
"grad_norm":
|
2033 |
-
"learning_rate":
|
2034 |
-
"loss": 0.
|
2035 |
"step": 5660
|
2036 |
},
|
2037 |
{
|
2038 |
-
"epoch":
|
2039 |
-
"grad_norm":
|
2040 |
-
"learning_rate":
|
2041 |
-
"loss": 0.
|
2042 |
"step": 5680
|
2043 |
},
|
2044 |
{
|
2045 |
-
"epoch":
|
2046 |
-
"grad_norm":
|
2047 |
-
"learning_rate":
|
2048 |
-
"loss": 0.
|
2049 |
"step": 5700
|
2050 |
},
|
2051 |
{
|
2052 |
-
"epoch":
|
2053 |
-
"grad_norm":
|
2054 |
-
"learning_rate":
|
2055 |
-
"loss": 0.
|
2056 |
"step": 5720
|
2057 |
},
|
2058 |
{
|
2059 |
-
"epoch":
|
2060 |
-
"grad_norm":
|
2061 |
-
"learning_rate":
|
2062 |
-
"loss": 0.
|
2063 |
"step": 5740
|
2064 |
},
|
2065 |
{
|
2066 |
-
"epoch":
|
2067 |
-
"grad_norm":
|
2068 |
-
"learning_rate":
|
2069 |
-
"loss": 0.
|
2070 |
"step": 5760
|
2071 |
},
|
2072 |
{
|
2073 |
-
"epoch":
|
2074 |
-
"grad_norm":
|
2075 |
-
"learning_rate":
|
2076 |
-
"loss": 0.
|
2077 |
"step": 5780
|
2078 |
},
|
2079 |
{
|
2080 |
-
"epoch":
|
2081 |
-
"grad_norm":
|
2082 |
-
"learning_rate":
|
2083 |
-
"loss": 0.
|
2084 |
"step": 5800
|
2085 |
},
|
2086 |
{
|
2087 |
-
"epoch":
|
2088 |
-
"grad_norm":
|
2089 |
-
"learning_rate":
|
2090 |
-
"loss": 0.
|
2091 |
"step": 5820
|
2092 |
},
|
2093 |
{
|
2094 |
-
"epoch":
|
2095 |
-
"grad_norm":
|
2096 |
-
"learning_rate":
|
2097 |
-
"loss": 0.
|
2098 |
"step": 5840
|
2099 |
},
|
2100 |
{
|
2101 |
-
"epoch":
|
2102 |
-
"grad_norm":
|
2103 |
-
"learning_rate":
|
2104 |
-
"loss": 0.
|
2105 |
"step": 5860
|
2106 |
},
|
2107 |
{
|
2108 |
-
"epoch":
|
2109 |
-
"grad_norm":
|
2110 |
-
"learning_rate":
|
2111 |
-
"loss": 0.
|
2112 |
"step": 5880
|
2113 |
},
|
2114 |
{
|
2115 |
-
"epoch":
|
2116 |
-
"grad_norm":
|
2117 |
-
"learning_rate":
|
2118 |
-
"loss": 0.
|
2119 |
"step": 5900
|
2120 |
},
|
2121 |
{
|
2122 |
-
"epoch":
|
2123 |
-
"grad_norm": 2.
|
2124 |
-
"learning_rate": 1.
|
2125 |
-
"loss": 0.
|
2126 |
"step": 5920
|
2127 |
},
|
2128 |
{
|
2129 |
-
"epoch":
|
2130 |
-
"grad_norm":
|
2131 |
-
"learning_rate": 1.
|
2132 |
-
"loss": 0.
|
2133 |
"step": 5940
|
2134 |
},
|
2135 |
{
|
2136 |
-
"epoch":
|
2137 |
-
"grad_norm":
|
2138 |
-
"learning_rate":
|
2139 |
-
"loss": 0.
|
2140 |
"step": 5960
|
2141 |
},
|
2142 |
{
|
2143 |
-
"epoch":
|
2144 |
-
"grad_norm":
|
2145 |
-
"learning_rate":
|
2146 |
-
"loss": 0.
|
2147 |
"step": 5980
|
2148 |
},
|
2149 |
{
|
2150 |
-
"epoch":
|
2151 |
-
"grad_norm":
|
2152 |
-
"learning_rate": 1.
|
2153 |
-
"loss": 0.
|
2154 |
"step": 6000
|
2155 |
},
|
2156 |
{
|
2157 |
-
"epoch":
|
2158 |
-
"eval_loss": 0.
|
2159 |
-
"eval_runtime":
|
2160 |
-
"eval_samples_per_second": 0.
|
2161 |
-
"eval_steps_per_second": 0.
|
2162 |
-
"eval_wer":
|
2163 |
"step": 6000
|
2164 |
}
|
2165 |
],
|
2166 |
"logging_steps": 20,
|
2167 |
-
"max_steps":
|
2168 |
"num_input_tokens_seen": 0,
|
2169 |
-
"num_train_epochs":
|
2170 |
"save_steps": 1000,
|
2171 |
"total_flos": 5.19396003495936e+18,
|
2172 |
"train_batch_size": 3,
|
|
|
1 |
{
|
2 |
+
"best_metric": 44.81641468682505,
|
3 |
+
"best_model_checkpoint": "./whisper-small-bn/checkpoint-6000",
|
4 |
+
"epoch": 6.0,
|
5 |
"eval_steps": 1000,
|
6 |
"global_step": 6000,
|
7 |
"is_hyper_param_search": false,
|
|
|
1804 |
"step": 5000
|
1805 |
},
|
1806 |
{
|
1807 |
+
"epoch": 5.02,
|
1808 |
+
"grad_norm": 8.357197761535645,
|
1809 |
+
"learning_rate": 3.0600000000000003e-06,
|
1810 |
+
"loss": 0.1655,
|
1811 |
"step": 5020
|
1812 |
},
|
1813 |
{
|
1814 |
+
"epoch": 5.04,
|
1815 |
+
"grad_norm": 10.608843803405762,
|
1816 |
+
"learning_rate": 3.030769230769231e-06,
|
1817 |
+
"loss": 0.1504,
|
1818 |
"step": 5040
|
1819 |
},
|
1820 |
{
|
1821 |
+
"epoch": 5.06,
|
1822 |
+
"grad_norm": 12.850112915039062,
|
1823 |
+
"learning_rate": 3e-06,
|
1824 |
+
"loss": 0.1624,
|
1825 |
"step": 5060
|
1826 |
},
|
1827 |
{
|
1828 |
+
"epoch": 5.08,
|
1829 |
+
"grad_norm": 7.485651969909668,
|
1830 |
+
"learning_rate": 2.969230769230769e-06,
|
1831 |
+
"loss": 0.16,
|
1832 |
"step": 5080
|
1833 |
},
|
1834 |
{
|
1835 |
+
"epoch": 5.1,
|
1836 |
+
"grad_norm": 7.200412273406982,
|
1837 |
+
"learning_rate": 2.938461538461539e-06,
|
1838 |
+
"loss": 0.1432,
|
1839 |
"step": 5100
|
1840 |
},
|
1841 |
{
|
1842 |
+
"epoch": 5.12,
|
1843 |
+
"grad_norm": 3.8365743160247803,
|
1844 |
+
"learning_rate": 2.907692307692308e-06,
|
1845 |
+
"loss": 0.1384,
|
1846 |
"step": 5120
|
1847 |
},
|
1848 |
{
|
1849 |
+
"epoch": 5.14,
|
1850 |
+
"grad_norm": 7.808358669281006,
|
1851 |
+
"learning_rate": 2.8769230769230772e-06,
|
1852 |
+
"loss": 0.1554,
|
1853 |
"step": 5140
|
1854 |
},
|
1855 |
{
|
1856 |
+
"epoch": 5.16,
|
1857 |
+
"grad_norm": 10.08485221862793,
|
1858 |
+
"learning_rate": 2.846153846153846e-06,
|
1859 |
+
"loss": 0.134,
|
1860 |
"step": 5160
|
1861 |
},
|
1862 |
{
|
1863 |
+
"epoch": 5.18,
|
1864 |
+
"grad_norm": 6.713149547576904,
|
1865 |
+
"learning_rate": 2.815384615384615e-06,
|
1866 |
+
"loss": 0.1719,
|
1867 |
"step": 5180
|
1868 |
},
|
1869 |
{
|
1870 |
+
"epoch": 5.2,
|
1871 |
+
"grad_norm": 7.925513744354248,
|
1872 |
+
"learning_rate": 2.784615384615385e-06,
|
1873 |
+
"loss": 0.1531,
|
1874 |
"step": 5200
|
1875 |
},
|
1876 |
{
|
1877 |
+
"epoch": 5.22,
|
1878 |
+
"grad_norm": 7.1876115798950195,
|
1879 |
+
"learning_rate": 2.753846153846154e-06,
|
1880 |
+
"loss": 0.142,
|
1881 |
"step": 5220
|
1882 |
},
|
1883 |
{
|
1884 |
+
"epoch": 5.24,
|
1885 |
+
"grad_norm": 8.050920486450195,
|
1886 |
+
"learning_rate": 2.7230769230769234e-06,
|
1887 |
+
"loss": 0.1563,
|
1888 |
"step": 5240
|
1889 |
},
|
1890 |
{
|
1891 |
+
"epoch": 5.26,
|
1892 |
+
"grad_norm": 7.64823579788208,
|
1893 |
+
"learning_rate": 2.6923076923076923e-06,
|
1894 |
+
"loss": 0.1382,
|
1895 |
"step": 5260
|
1896 |
},
|
1897 |
{
|
1898 |
+
"epoch": 5.28,
|
1899 |
+
"grad_norm": 12.070975303649902,
|
1900 |
+
"learning_rate": 2.6615384615384613e-06,
|
1901 |
+
"loss": 0.1455,
|
1902 |
"step": 5280
|
1903 |
},
|
1904 |
{
|
1905 |
+
"epoch": 5.3,
|
1906 |
+
"grad_norm": 9.54661750793457,
|
1907 |
+
"learning_rate": 2.630769230769231e-06,
|
1908 |
+
"loss": 0.1487,
|
1909 |
"step": 5300
|
1910 |
},
|
1911 |
{
|
1912 |
+
"epoch": 5.32,
|
1913 |
+
"grad_norm": 10.481926918029785,
|
1914 |
+
"learning_rate": 2.6e-06,
|
1915 |
+
"loss": 0.1259,
|
1916 |
"step": 5320
|
1917 |
},
|
1918 |
{
|
1919 |
+
"epoch": 5.34,
|
1920 |
+
"grad_norm": 4.108445167541504,
|
1921 |
+
"learning_rate": 2.5692307692307695e-06,
|
1922 |
+
"loss": 0.1353,
|
1923 |
"step": 5340
|
1924 |
},
|
1925 |
{
|
1926 |
+
"epoch": 5.36,
|
1927 |
+
"grad_norm": 8.814416885375977,
|
1928 |
+
"learning_rate": 2.5384615384615385e-06,
|
1929 |
+
"loss": 0.1551,
|
1930 |
"step": 5360
|
1931 |
},
|
1932 |
{
|
1933 |
+
"epoch": 5.38,
|
1934 |
+
"grad_norm": 6.86100435256958,
|
1935 |
+
"learning_rate": 2.507692307692308e-06,
|
1936 |
+
"loss": 0.164,
|
1937 |
"step": 5380
|
1938 |
},
|
1939 |
{
|
1940 |
+
"epoch": 5.4,
|
1941 |
+
"grad_norm": 6.572709560394287,
|
1942 |
+
"learning_rate": 2.4769230769230773e-06,
|
1943 |
+
"loss": 0.1231,
|
1944 |
"step": 5400
|
1945 |
},
|
1946 |
{
|
1947 |
+
"epoch": 5.42,
|
1948 |
+
"grad_norm": 6.522790431976318,
|
1949 |
+
"learning_rate": 2.4461538461538466e-06,
|
1950 |
+
"loss": 0.1592,
|
1951 |
"step": 5420
|
1952 |
},
|
1953 |
{
|
1954 |
+
"epoch": 5.44,
|
1955 |
+
"grad_norm": 5.718307971954346,
|
1956 |
+
"learning_rate": 2.4153846153846156e-06,
|
1957 |
+
"loss": 0.1233,
|
1958 |
"step": 5440
|
1959 |
},
|
1960 |
{
|
1961 |
+
"epoch": 5.46,
|
1962 |
+
"grad_norm": 5.314148426055908,
|
1963 |
+
"learning_rate": 2.384615384615385e-06,
|
1964 |
+
"loss": 0.1776,
|
1965 |
"step": 5460
|
1966 |
},
|
1967 |
{
|
1968 |
+
"epoch": 5.48,
|
1969 |
+
"grad_norm": 6.437089443206787,
|
1970 |
+
"learning_rate": 2.353846153846154e-06,
|
1971 |
+
"loss": 0.1327,
|
1972 |
"step": 5480
|
1973 |
},
|
1974 |
{
|
1975 |
+
"epoch": 5.5,
|
1976 |
+
"grad_norm": 7.538025856018066,
|
1977 |
+
"learning_rate": 2.3230769230769234e-06,
|
1978 |
+
"loss": 0.1301,
|
1979 |
"step": 5500
|
1980 |
},
|
1981 |
{
|
1982 |
+
"epoch": 5.52,
|
1983 |
+
"grad_norm": 7.919811248779297,
|
1984 |
+
"learning_rate": 2.2923076923076928e-06,
|
1985 |
+
"loss": 0.1419,
|
1986 |
"step": 5520
|
1987 |
},
|
1988 |
{
|
1989 |
+
"epoch": 5.54,
|
1990 |
+
"grad_norm": 9.317774772644043,
|
1991 |
+
"learning_rate": 2.2615384615384617e-06,
|
1992 |
+
"loss": 0.1474,
|
1993 |
"step": 5540
|
1994 |
},
|
1995 |
{
|
1996 |
+
"epoch": 5.56,
|
1997 |
+
"grad_norm": 6.526165008544922,
|
1998 |
+
"learning_rate": 2.230769230769231e-06,
|
1999 |
+
"loss": 0.1734,
|
2000 |
"step": 5560
|
2001 |
},
|
2002 |
{
|
2003 |
+
"epoch": 5.58,
|
2004 |
+
"grad_norm": 3.361795663833618,
|
2005 |
+
"learning_rate": 2.2e-06,
|
2006 |
+
"loss": 0.1139,
|
2007 |
"step": 5580
|
2008 |
},
|
2009 |
{
|
2010 |
+
"epoch": 5.6,
|
2011 |
+
"grad_norm": 7.677871227264404,
|
2012 |
+
"learning_rate": 2.1692307692307695e-06,
|
2013 |
+
"loss": 0.1441,
|
2014 |
"step": 5600
|
2015 |
},
|
2016 |
{
|
2017 |
+
"epoch": 5.62,
|
2018 |
+
"grad_norm": 9.330676078796387,
|
2019 |
+
"learning_rate": 2.138461538461539e-06,
|
2020 |
+
"loss": 0.1494,
|
2021 |
"step": 5620
|
2022 |
},
|
2023 |
{
|
2024 |
+
"epoch": 5.64,
|
2025 |
+
"grad_norm": 7.009490966796875,
|
2026 |
+
"learning_rate": 2.107692307692308e-06,
|
2027 |
+
"loss": 0.1208,
|
2028 |
"step": 5640
|
2029 |
},
|
2030 |
{
|
2031 |
+
"epoch": 5.66,
|
2032 |
+
"grad_norm": 6.069945335388184,
|
2033 |
+
"learning_rate": 2.0769230769230773e-06,
|
2034 |
+
"loss": 0.1392,
|
2035 |
"step": 5660
|
2036 |
},
|
2037 |
{
|
2038 |
+
"epoch": 5.68,
|
2039 |
+
"grad_norm": 8.43829345703125,
|
2040 |
+
"learning_rate": 2.0461538461538462e-06,
|
2041 |
+
"loss": 0.1523,
|
2042 |
"step": 5680
|
2043 |
},
|
2044 |
{
|
2045 |
+
"epoch": 5.7,
|
2046 |
+
"grad_norm": 6.86118745803833,
|
2047 |
+
"learning_rate": 2.0153846153846156e-06,
|
2048 |
+
"loss": 0.1598,
|
2049 |
"step": 5700
|
2050 |
},
|
2051 |
{
|
2052 |
+
"epoch": 5.72,
|
2053 |
+
"grad_norm": 4.472192287445068,
|
2054 |
+
"learning_rate": 1.984615384615385e-06,
|
2055 |
+
"loss": 0.1459,
|
2056 |
"step": 5720
|
2057 |
},
|
2058 |
{
|
2059 |
+
"epoch": 5.74,
|
2060 |
+
"grad_norm": 4.14478874206543,
|
2061 |
+
"learning_rate": 1.953846153846154e-06,
|
2062 |
+
"loss": 0.1509,
|
2063 |
"step": 5740
|
2064 |
},
|
2065 |
{
|
2066 |
+
"epoch": 5.76,
|
2067 |
+
"grad_norm": 8.51664924621582,
|
2068 |
+
"learning_rate": 1.9230769230769234e-06,
|
2069 |
+
"loss": 0.1341,
|
2070 |
"step": 5760
|
2071 |
},
|
2072 |
{
|
2073 |
+
"epoch": 5.78,
|
2074 |
+
"grad_norm": 6.804210662841797,
|
2075 |
+
"learning_rate": 1.8923076923076924e-06,
|
2076 |
+
"loss": 0.1462,
|
2077 |
"step": 5780
|
2078 |
},
|
2079 |
{
|
2080 |
+
"epoch": 5.8,
|
2081 |
+
"grad_norm": 5.099180698394775,
|
2082 |
+
"learning_rate": 1.8615384615384616e-06,
|
2083 |
+
"loss": 0.1217,
|
2084 |
"step": 5800
|
2085 |
},
|
2086 |
{
|
2087 |
+
"epoch": 5.82,
|
2088 |
+
"grad_norm": 8.629157066345215,
|
2089 |
+
"learning_rate": 1.830769230769231e-06,
|
2090 |
+
"loss": 0.1583,
|
2091 |
"step": 5820
|
2092 |
},
|
2093 |
{
|
2094 |
+
"epoch": 5.84,
|
2095 |
+
"grad_norm": 4.583296775817871,
|
2096 |
+
"learning_rate": 1.8000000000000001e-06,
|
2097 |
+
"loss": 0.1271,
|
2098 |
"step": 5840
|
2099 |
},
|
2100 |
{
|
2101 |
+
"epoch": 5.86,
|
2102 |
+
"grad_norm": 3.160738229751587,
|
2103 |
+
"learning_rate": 1.7692307692307695e-06,
|
2104 |
+
"loss": 0.141,
|
2105 |
"step": 5860
|
2106 |
},
|
2107 |
{
|
2108 |
+
"epoch": 5.88,
|
2109 |
+
"grad_norm": 9.473282814025879,
|
2110 |
+
"learning_rate": 1.74e-06,
|
2111 |
+
"loss": 0.1605,
|
2112 |
"step": 5880
|
2113 |
},
|
2114 |
{
|
2115 |
+
"epoch": 5.9,
|
2116 |
+
"grad_norm": 4.42061185836792,
|
2117 |
+
"learning_rate": 1.7092307692307695e-06,
|
2118 |
+
"loss": 0.1038,
|
2119 |
"step": 5900
|
2120 |
},
|
2121 |
{
|
2122 |
+
"epoch": 5.92,
|
2123 |
+
"grad_norm": 2.770753860473633,
|
2124 |
+
"learning_rate": 1.6784615384615384e-06,
|
2125 |
+
"loss": 0.1362,
|
2126 |
"step": 5920
|
2127 |
},
|
2128 |
{
|
2129 |
+
"epoch": 5.94,
|
2130 |
+
"grad_norm": 5.55116605758667,
|
2131 |
+
"learning_rate": 1.6476923076923078e-06,
|
2132 |
+
"loss": 0.1313,
|
2133 |
"step": 5940
|
2134 |
},
|
2135 |
{
|
2136 |
+
"epoch": 5.96,
|
2137 |
+
"grad_norm": 3.3803486824035645,
|
2138 |
+
"learning_rate": 1.616923076923077e-06,
|
2139 |
+
"loss": 0.1424,
|
2140 |
"step": 5960
|
2141 |
},
|
2142 |
{
|
2143 |
+
"epoch": 5.98,
|
2144 |
+
"grad_norm": 7.3435282707214355,
|
2145 |
+
"learning_rate": 1.5861538461538462e-06,
|
2146 |
+
"loss": 0.1209,
|
2147 |
"step": 5980
|
2148 |
},
|
2149 |
{
|
2150 |
+
"epoch": 6.0,
|
2151 |
+
"grad_norm": 7.475185394287109,
|
2152 |
+
"learning_rate": 1.5553846153846156e-06,
|
2153 |
+
"loss": 0.1312,
|
2154 |
"step": 6000
|
2155 |
},
|
2156 |
{
|
2157 |
+
"epoch": 6.0,
|
2158 |
+
"eval_loss": 0.14498481154441833,
|
2159 |
+
"eval_runtime": 339.1376,
|
2160 |
+
"eval_samples_per_second": 0.295,
|
2161 |
+
"eval_steps_per_second": 0.295,
|
2162 |
+
"eval_wer": 44.81641468682505,
|
2163 |
"step": 6000
|
2164 |
}
|
2165 |
],
|
2166 |
"logging_steps": 20,
|
2167 |
+
"max_steps": 7000,
|
2168 |
"num_input_tokens_seen": 0,
|
2169 |
+
"num_train_epochs": 7,
|
2170 |
"save_steps": 1000,
|
2171 |
"total_flos": 5.19396003495936e+18,
|
2172 |
"train_batch_size": 3,
|
checkpoint-6000/training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 5048
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6a70bac6e53ecc076875524d55f571ee3af225fbe33298216e31da3f647fc789
|
3 |
size 5048
|
checkpoint-7000/config.json
ADDED
@@ -0,0 +1,52 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "openai/whisper-small",
|
3 |
+
"activation_dropout": 0.0,
|
4 |
+
"activation_function": "gelu",
|
5 |
+
"apply_spec_augment": false,
|
6 |
+
"architectures": [
|
7 |
+
"WhisperForConditionalGeneration"
|
8 |
+
],
|
9 |
+
"attention_dropout": 0.0,
|
10 |
+
"begin_suppress_tokens": [
|
11 |
+
220,
|
12 |
+
50257
|
13 |
+
],
|
14 |
+
"bos_token_id": 50257,
|
15 |
+
"classifier_proj_size": 256,
|
16 |
+
"d_model": 768,
|
17 |
+
"decoder_attention_heads": 12,
|
18 |
+
"decoder_ffn_dim": 3072,
|
19 |
+
"decoder_layerdrop": 0.0,
|
20 |
+
"decoder_layers": 12,
|
21 |
+
"decoder_start_token_id": 50258,
|
22 |
+
"dropout": 0.0,
|
23 |
+
"encoder_attention_heads": 12,
|
24 |
+
"encoder_ffn_dim": 3072,
|
25 |
+
"encoder_layerdrop": 0.0,
|
26 |
+
"encoder_layers": 12,
|
27 |
+
"eos_token_id": 50257,
|
28 |
+
"forced_decoder_ids": null,
|
29 |
+
"init_std": 0.02,
|
30 |
+
"is_encoder_decoder": true,
|
31 |
+
"mask_feature_length": 10,
|
32 |
+
"mask_feature_min_masks": 0,
|
33 |
+
"mask_feature_prob": 0.0,
|
34 |
+
"mask_time_length": 10,
|
35 |
+
"mask_time_min_masks": 2,
|
36 |
+
"mask_time_prob": 0.05,
|
37 |
+
"max_length": 448,
|
38 |
+
"max_source_positions": 1500,
|
39 |
+
"max_target_positions": 448,
|
40 |
+
"median_filter_width": 7,
|
41 |
+
"model_type": "whisper",
|
42 |
+
"num_hidden_layers": 12,
|
43 |
+
"num_mel_bins": 80,
|
44 |
+
"pad_token_id": 50257,
|
45 |
+
"scale_embedding": false,
|
46 |
+
"suppress_tokens": [],
|
47 |
+
"torch_dtype": "float32",
|
48 |
+
"transformers_version": "4.40.0.dev0",
|
49 |
+
"use_cache": true,
|
50 |
+
"use_weighted_layer_sum": false,
|
51 |
+
"vocab_size": 51865
|
52 |
+
}
|
checkpoint-7000/generation_config.json
ADDED
@@ -0,0 +1,264 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alignment_heads": [
|
3 |
+
[
|
4 |
+
5,
|
5 |
+
3
|
6 |
+
],
|
7 |
+
[
|
8 |
+
5,
|
9 |
+
9
|
10 |
+
],
|
11 |
+
[
|
12 |
+
8,
|
13 |
+
0
|
14 |
+
],
|
15 |
+
[
|
16 |
+
8,
|
17 |
+
4
|
18 |
+
],
|
19 |
+
[
|
20 |
+
8,
|
21 |
+
7
|
22 |
+
],
|
23 |
+
[
|
24 |
+
8,
|
25 |
+
8
|
26 |
+
],
|
27 |
+
[
|
28 |
+
9,
|
29 |
+
0
|
30 |
+
],
|
31 |
+
[
|
32 |
+
9,
|
33 |
+
7
|
34 |
+
],
|
35 |
+
[
|
36 |
+
9,
|
37 |
+
9
|
38 |
+
],
|
39 |
+
[
|
40 |
+
10,
|
41 |
+
5
|
42 |
+
]
|
43 |
+
],
|
44 |
+
"begin_suppress_tokens": [
|
45 |
+
220,
|
46 |
+
50257
|
47 |
+
],
|
48 |
+
"bos_token_id": 50257,
|
49 |
+
"decoder_start_token_id": 50258,
|
50 |
+
"eos_token_id": 50257,
|
51 |
+
"forced_decoder_ids": [
|
52 |
+
[
|
53 |
+
1,
|
54 |
+
null
|
55 |
+
],
|
56 |
+
[
|
57 |
+
2,
|
58 |
+
50359
|
59 |
+
]
|
60 |
+
],
|
61 |
+
"is_multilingual": true,
|
62 |
+
"lang_to_id": {
|
63 |
+
"<|af|>": 50327,
|
64 |
+
"<|am|>": 50334,
|
65 |
+
"<|ar|>": 50272,
|
66 |
+
"<|as|>": 50350,
|
67 |
+
"<|az|>": 50304,
|
68 |
+
"<|ba|>": 50355,
|
69 |
+
"<|be|>": 50330,
|
70 |
+
"<|bg|>": 50292,
|
71 |
+
"<|bn|>": 50302,
|
72 |
+
"<|bo|>": 50347,
|
73 |
+
"<|br|>": 50309,
|
74 |
+
"<|bs|>": 50315,
|
75 |
+
"<|ca|>": 50270,
|
76 |
+
"<|cs|>": 50283,
|
77 |
+
"<|cy|>": 50297,
|
78 |
+
"<|da|>": 50285,
|
79 |
+
"<|de|>": 50261,
|
80 |
+
"<|el|>": 50281,
|
81 |
+
"<|en|>": 50259,
|
82 |
+
"<|es|>": 50262,
|
83 |
+
"<|et|>": 50307,
|
84 |
+
"<|eu|>": 50310,
|
85 |
+
"<|fa|>": 50300,
|
86 |
+
"<|fi|>": 50277,
|
87 |
+
"<|fo|>": 50338,
|
88 |
+
"<|fr|>": 50265,
|
89 |
+
"<|gl|>": 50319,
|
90 |
+
"<|gu|>": 50333,
|
91 |
+
"<|haw|>": 50352,
|
92 |
+
"<|ha|>": 50354,
|
93 |
+
"<|he|>": 50279,
|
94 |
+
"<|hi|>": 50276,
|
95 |
+
"<|hr|>": 50291,
|
96 |
+
"<|ht|>": 50339,
|
97 |
+
"<|hu|>": 50286,
|
98 |
+
"<|hy|>": 50312,
|
99 |
+
"<|id|>": 50275,
|
100 |
+
"<|is|>": 50311,
|
101 |
+
"<|it|>": 50274,
|
102 |
+
"<|ja|>": 50266,
|
103 |
+
"<|jw|>": 50356,
|
104 |
+
"<|ka|>": 50329,
|
105 |
+
"<|kk|>": 50316,
|
106 |
+
"<|km|>": 50323,
|
107 |
+
"<|kn|>": 50306,
|
108 |
+
"<|ko|>": 50264,
|
109 |
+
"<|la|>": 50294,
|
110 |
+
"<|lb|>": 50345,
|
111 |
+
"<|ln|>": 50353,
|
112 |
+
"<|lo|>": 50336,
|
113 |
+
"<|lt|>": 50293,
|
114 |
+
"<|lv|>": 50301,
|
115 |
+
"<|mg|>": 50349,
|
116 |
+
"<|mi|>": 50295,
|
117 |
+
"<|mk|>": 50308,
|
118 |
+
"<|ml|>": 50296,
|
119 |
+
"<|mn|>": 50314,
|
120 |
+
"<|mr|>": 50320,
|
121 |
+
"<|ms|>": 50282,
|
122 |
+
"<|mt|>": 50343,
|
123 |
+
"<|my|>": 50346,
|
124 |
+
"<|ne|>": 50313,
|
125 |
+
"<|nl|>": 50271,
|
126 |
+
"<|nn|>": 50342,
|
127 |
+
"<|no|>": 50288,
|
128 |
+
"<|oc|>": 50328,
|
129 |
+
"<|pa|>": 50321,
|
130 |
+
"<|pl|>": 50269,
|
131 |
+
"<|ps|>": 50340,
|
132 |
+
"<|pt|>": 50267,
|
133 |
+
"<|ro|>": 50284,
|
134 |
+
"<|ru|>": 50263,
|
135 |
+
"<|sa|>": 50344,
|
136 |
+
"<|sd|>": 50332,
|
137 |
+
"<|si|>": 50322,
|
138 |
+
"<|sk|>": 50298,
|
139 |
+
"<|sl|>": 50305,
|
140 |
+
"<|sn|>": 50324,
|
141 |
+
"<|so|>": 50326,
|
142 |
+
"<|sq|>": 50317,
|
143 |
+
"<|sr|>": 50303,
|
144 |
+
"<|su|>": 50357,
|
145 |
+
"<|sv|>": 50273,
|
146 |
+
"<|sw|>": 50318,
|
147 |
+
"<|ta|>": 50287,
|
148 |
+
"<|te|>": 50299,
|
149 |
+
"<|tg|>": 50331,
|
150 |
+
"<|th|>": 50289,
|
151 |
+
"<|tk|>": 50341,
|
152 |
+
"<|tl|>": 50348,
|
153 |
+
"<|tr|>": 50268,
|
154 |
+
"<|tt|>": 50351,
|
155 |
+
"<|uk|>": 50280,
|
156 |
+
"<|ur|>": 50290,
|
157 |
+
"<|uz|>": 50337,
|
158 |
+
"<|vi|>": 50278,
|
159 |
+
"<|yi|>": 50335,
|
160 |
+
"<|yo|>": 50325,
|
161 |
+
"<|zh|>": 50260
|
162 |
+
},
|
163 |
+
"max_initial_timestamp_index": 50,
|
164 |
+
"max_length": 448,
|
165 |
+
"no_timestamps_token_id": 50363,
|
166 |
+
"pad_token_id": 50257,
|
167 |
+
"prev_sot_token_id": 50361,
|
168 |
+
"return_timestamps": false,
|
169 |
+
"suppress_tokens": [
|
170 |
+
1,
|
171 |
+
2,
|
172 |
+
7,
|
173 |
+
8,
|
174 |
+
9,
|
175 |
+
10,
|
176 |
+
14,
|
177 |
+
25,
|
178 |
+
26,
|
179 |
+
27,
|
180 |
+
28,
|
181 |
+
29,
|
182 |
+
31,
|
183 |
+
58,
|
184 |
+
59,
|
185 |
+
60,
|
186 |
+
61,
|
187 |
+
62,
|
188 |
+
63,
|
189 |
+
90,
|
190 |
+
91,
|
191 |
+
92,
|
192 |
+
93,
|
193 |
+
359,
|
194 |
+
503,
|
195 |
+
522,
|
196 |
+
542,
|
197 |
+
873,
|
198 |
+
893,
|
199 |
+
902,
|
200 |
+
918,
|
201 |
+
922,
|
202 |
+
931,
|
203 |
+
1350,
|
204 |
+
1853,
|
205 |
+
1982,
|
206 |
+
2460,
|
207 |
+
2627,
|
208 |
+
3246,
|
209 |
+
3253,
|
210 |
+
3268,
|
211 |
+
3536,
|
212 |
+
3846,
|
213 |
+
3961,
|
214 |
+
4183,
|
215 |
+
4667,
|
216 |
+
6585,
|
217 |
+
6647,
|
218 |
+
7273,
|
219 |
+
9061,
|
220 |
+
9383,
|
221 |
+
10428,
|
222 |
+
10929,
|
223 |
+
11938,
|
224 |
+
12033,
|
225 |
+
12331,
|
226 |
+
12562,
|
227 |
+
13793,
|
228 |
+
14157,
|
229 |
+
14635,
|
230 |
+
15265,
|
231 |
+
15618,
|
232 |
+
16553,
|
233 |
+
16604,
|
234 |
+
18362,
|
235 |
+
18956,
|
236 |
+
20075,
|
237 |
+
21675,
|
238 |
+
22520,
|
239 |
+
26130,
|
240 |
+
26161,
|
241 |
+
26435,
|
242 |
+
28279,
|
243 |
+
29464,
|
244 |
+
31650,
|
245 |
+
32302,
|
246 |
+
32470,
|
247 |
+
36865,
|
248 |
+
42863,
|
249 |
+
47425,
|
250 |
+
49870,
|
251 |
+
50254,
|
252 |
+
50258,
|
253 |
+
50358,
|
254 |
+
50359,
|
255 |
+
50360,
|
256 |
+
50361,
|
257 |
+
50362
|
258 |
+
],
|
259 |
+
"task_to_id": {
|
260 |
+
"transcribe": 50359,
|
261 |
+
"translate": 50358
|
262 |
+
},
|
263 |
+
"transformers_version": "4.40.0.dev0"
|
264 |
+
}
|
checkpoint-7000/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9ef4d5723ce5410e4668c709f2175307c070b5aa9f68408c8877b568cd207c48
|
3 |
+
size 966995080
|
checkpoint-7000/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b18c75125da4bbfb0bdca1ecf31bdedfedf77119aeed893ee57014fcda57a7a9
|
3 |
+
size 1925064044
|
checkpoint-7000/preprocessor_config.json
ADDED
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"chunk_length": 30,
|
3 |
+
"feature_extractor_type": "WhisperFeatureExtractor",
|
4 |
+
"feature_size": 80,
|
5 |
+
"hop_length": 160,
|
6 |
+
"n_fft": 400,
|
7 |
+
"n_samples": 480000,
|
8 |
+
"nb_max_frames": 3000,
|
9 |
+
"padding_side": "right",
|
10 |
+
"padding_value": 0.0,
|
11 |
+
"processor_class": "WhisperProcessor",
|
12 |
+
"return_attention_mask": false,
|
13 |
+
"sampling_rate": 16000
|
14 |
+
}
|
checkpoint-7000/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8cf50419d70b2990f3d52db3a01454381cf1958175cb31ca25a72db144db6443
|
3 |
+
size 14244
|
checkpoint-7000/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:30b4e3b2707379f37367202cb632c9f637a517b251f37a83881b19fefab263fc
|
3 |
+
size 1064
|
checkpoint-7000/trainer_state.json
ADDED
@@ -0,0 +1,2534 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 44.81641468682505,
|
3 |
+
"best_model_checkpoint": "./whisper-small-bn/checkpoint-6000",
|
4 |
+
"epoch": 7.0,
|
5 |
+
"eval_steps": 1000,
|
6 |
+
"global_step": 7000,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.07,
|
13 |
+
"grad_norm": 27.802248001098633,
|
14 |
+
"learning_rate": 3.2e-07,
|
15 |
+
"loss": 2.2811,
|
16 |
+
"step": 20
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.13,
|
20 |
+
"grad_norm": 18.253421783447266,
|
21 |
+
"learning_rate": 7.2e-07,
|
22 |
+
"loss": 2.1964,
|
23 |
+
"step": 40
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.2,
|
27 |
+
"grad_norm": 13.585515975952148,
|
28 |
+
"learning_rate": 1.12e-06,
|
29 |
+
"loss": 1.8635,
|
30 |
+
"step": 60
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.27,
|
34 |
+
"grad_norm": 22.400362014770508,
|
35 |
+
"learning_rate": 1.52e-06,
|
36 |
+
"loss": 1.703,
|
37 |
+
"step": 80
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.33,
|
41 |
+
"grad_norm": 13.77535343170166,
|
42 |
+
"learning_rate": 1.9200000000000003e-06,
|
43 |
+
"loss": 1.5336,
|
44 |
+
"step": 100
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.4,
|
48 |
+
"grad_norm": 14.989215850830078,
|
49 |
+
"learning_rate": 2.3200000000000002e-06,
|
50 |
+
"loss": 1.4044,
|
51 |
+
"step": 120
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.47,
|
55 |
+
"grad_norm": 22.01858139038086,
|
56 |
+
"learning_rate": 2.7200000000000002e-06,
|
57 |
+
"loss": 1.2402,
|
58 |
+
"step": 140
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.53,
|
62 |
+
"grad_norm": 16.482311248779297,
|
63 |
+
"learning_rate": 3.12e-06,
|
64 |
+
"loss": 1.0922,
|
65 |
+
"step": 160
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.6,
|
69 |
+
"grad_norm": 17.529874801635742,
|
70 |
+
"learning_rate": 3.52e-06,
|
71 |
+
"loss": 0.9583,
|
72 |
+
"step": 180
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.67,
|
76 |
+
"grad_norm": 18.252761840820312,
|
77 |
+
"learning_rate": 3.920000000000001e-06,
|
78 |
+
"loss": 0.8783,
|
79 |
+
"step": 200
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.73,
|
83 |
+
"grad_norm": 16.48067283630371,
|
84 |
+
"learning_rate": 4.32e-06,
|
85 |
+
"loss": 0.7643,
|
86 |
+
"step": 220
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.8,
|
90 |
+
"grad_norm": 15.062904357910156,
|
91 |
+
"learning_rate": 4.7200000000000005e-06,
|
92 |
+
"loss": 0.6991,
|
93 |
+
"step": 240
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.87,
|
97 |
+
"grad_norm": 14.231403350830078,
|
98 |
+
"learning_rate": 5.12e-06,
|
99 |
+
"loss": 0.6594,
|
100 |
+
"step": 260
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.93,
|
104 |
+
"grad_norm": 18.425230026245117,
|
105 |
+
"learning_rate": 5.5200000000000005e-06,
|
106 |
+
"loss": 0.5724,
|
107 |
+
"step": 280
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 1.0,
|
111 |
+
"grad_norm": 11.786844253540039,
|
112 |
+
"learning_rate": 5.92e-06,
|
113 |
+
"loss": 0.5687,
|
114 |
+
"step": 300
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 1.07,
|
118 |
+
"grad_norm": 15.346015930175781,
|
119 |
+
"learning_rate": 6.3200000000000005e-06,
|
120 |
+
"loss": 0.4696,
|
121 |
+
"step": 320
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 1.13,
|
125 |
+
"grad_norm": 7.936849594116211,
|
126 |
+
"learning_rate": 6.720000000000001e-06,
|
127 |
+
"loss": 0.4569,
|
128 |
+
"step": 340
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 1.2,
|
132 |
+
"grad_norm": 13.894779205322266,
|
133 |
+
"learning_rate": 7.1200000000000004e-06,
|
134 |
+
"loss": 0.4089,
|
135 |
+
"step": 360
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 1.27,
|
139 |
+
"grad_norm": 11.665081977844238,
|
140 |
+
"learning_rate": 7.520000000000001e-06,
|
141 |
+
"loss": 0.4168,
|
142 |
+
"step": 380
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 1.33,
|
146 |
+
"grad_norm": 16.7696475982666,
|
147 |
+
"learning_rate": 7.92e-06,
|
148 |
+
"loss": 0.4433,
|
149 |
+
"step": 400
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 1.4,
|
153 |
+
"grad_norm": 15.60254192352295,
|
154 |
+
"learning_rate": 8.32e-06,
|
155 |
+
"loss": 0.4013,
|
156 |
+
"step": 420
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 1.47,
|
160 |
+
"grad_norm": 13.72472858428955,
|
161 |
+
"learning_rate": 8.720000000000001e-06,
|
162 |
+
"loss": 0.3903,
|
163 |
+
"step": 440
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 1.53,
|
167 |
+
"grad_norm": 10.506444931030273,
|
168 |
+
"learning_rate": 9.12e-06,
|
169 |
+
"loss": 0.3581,
|
170 |
+
"step": 460
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 1.6,
|
174 |
+
"grad_norm": 13.643900871276855,
|
175 |
+
"learning_rate": 9.52e-06,
|
176 |
+
"loss": 0.3605,
|
177 |
+
"step": 480
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 1.67,
|
181 |
+
"grad_norm": 11.669689178466797,
|
182 |
+
"learning_rate": 9.920000000000002e-06,
|
183 |
+
"loss": 0.3548,
|
184 |
+
"step": 500
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 1.73,
|
188 |
+
"grad_norm": 9.907474517822266,
|
189 |
+
"learning_rate": 9.936000000000001e-06,
|
190 |
+
"loss": 0.3535,
|
191 |
+
"step": 520
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 1.8,
|
195 |
+
"grad_norm": 11.366904258728027,
|
196 |
+
"learning_rate": 9.856000000000002e-06,
|
197 |
+
"loss": 0.2943,
|
198 |
+
"step": 540
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 1.87,
|
202 |
+
"grad_norm": 7.5114240646362305,
|
203 |
+
"learning_rate": 9.776000000000001e-06,
|
204 |
+
"loss": 0.3057,
|
205 |
+
"step": 560
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 1.93,
|
209 |
+
"grad_norm": 11.717443466186523,
|
210 |
+
"learning_rate": 9.696000000000002e-06,
|
211 |
+
"loss": 0.2919,
|
212 |
+
"step": 580
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 2.0,
|
216 |
+
"grad_norm": 9.275129318237305,
|
217 |
+
"learning_rate": 9.616e-06,
|
218 |
+
"loss": 0.3115,
|
219 |
+
"step": 600
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 2.07,
|
223 |
+
"grad_norm": 9.388382911682129,
|
224 |
+
"learning_rate": 9.536000000000002e-06,
|
225 |
+
"loss": 0.1926,
|
226 |
+
"step": 620
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 2.13,
|
230 |
+
"grad_norm": 8.574433326721191,
|
231 |
+
"learning_rate": 9.456e-06,
|
232 |
+
"loss": 0.2193,
|
233 |
+
"step": 640
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 2.2,
|
237 |
+
"grad_norm": 5.512338638305664,
|
238 |
+
"learning_rate": 9.376000000000001e-06,
|
239 |
+
"loss": 0.18,
|
240 |
+
"step": 660
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 2.27,
|
244 |
+
"grad_norm": 9.644317626953125,
|
245 |
+
"learning_rate": 9.296e-06,
|
246 |
+
"loss": 0.1916,
|
247 |
+
"step": 680
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 2.33,
|
251 |
+
"grad_norm": 9.321474075317383,
|
252 |
+
"learning_rate": 9.216000000000001e-06,
|
253 |
+
"loss": 0.2055,
|
254 |
+
"step": 700
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 2.4,
|
258 |
+
"grad_norm": 4.868476390838623,
|
259 |
+
"learning_rate": 9.136e-06,
|
260 |
+
"loss": 0.1843,
|
261 |
+
"step": 720
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 2.47,
|
265 |
+
"grad_norm": 6.592445373535156,
|
266 |
+
"learning_rate": 9.056000000000001e-06,
|
267 |
+
"loss": 0.1713,
|
268 |
+
"step": 740
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 2.53,
|
272 |
+
"grad_norm": 8.138116836547852,
|
273 |
+
"learning_rate": 8.976e-06,
|
274 |
+
"loss": 0.1792,
|
275 |
+
"step": 760
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 2.6,
|
279 |
+
"grad_norm": 9.782510757446289,
|
280 |
+
"learning_rate": 8.896000000000001e-06,
|
281 |
+
"loss": 0.1796,
|
282 |
+
"step": 780
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 2.67,
|
286 |
+
"grad_norm": 5.867671012878418,
|
287 |
+
"learning_rate": 8.816000000000002e-06,
|
288 |
+
"loss": 0.1652,
|
289 |
+
"step": 800
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 2.73,
|
293 |
+
"grad_norm": 6.637588977813721,
|
294 |
+
"learning_rate": 8.736e-06,
|
295 |
+
"loss": 0.1735,
|
296 |
+
"step": 820
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 2.8,
|
300 |
+
"grad_norm": 11.652266502380371,
|
301 |
+
"learning_rate": 8.656000000000001e-06,
|
302 |
+
"loss": 0.1734,
|
303 |
+
"step": 840
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 2.87,
|
307 |
+
"grad_norm": 6.051203727722168,
|
308 |
+
"learning_rate": 8.576e-06,
|
309 |
+
"loss": 0.1557,
|
310 |
+
"step": 860
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 2.93,
|
314 |
+
"grad_norm": 11.018319129943848,
|
315 |
+
"learning_rate": 8.496000000000001e-06,
|
316 |
+
"loss": 0.1668,
|
317 |
+
"step": 880
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 3.0,
|
321 |
+
"grad_norm": 7.878730297088623,
|
322 |
+
"learning_rate": 8.416e-06,
|
323 |
+
"loss": 0.1706,
|
324 |
+
"step": 900
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 3.07,
|
328 |
+
"grad_norm": 6.223515510559082,
|
329 |
+
"learning_rate": 8.336000000000001e-06,
|
330 |
+
"loss": 0.0917,
|
331 |
+
"step": 920
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 3.13,
|
335 |
+
"grad_norm": 7.449841022491455,
|
336 |
+
"learning_rate": 8.256e-06,
|
337 |
+
"loss": 0.0853,
|
338 |
+
"step": 940
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 3.2,
|
342 |
+
"grad_norm": 3.824934244155884,
|
343 |
+
"learning_rate": 8.176000000000001e-06,
|
344 |
+
"loss": 0.1033,
|
345 |
+
"step": 960
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 3.27,
|
349 |
+
"grad_norm": 6.369926929473877,
|
350 |
+
"learning_rate": 8.096e-06,
|
351 |
+
"loss": 0.0997,
|
352 |
+
"step": 980
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 3.33,
|
356 |
+
"grad_norm": 6.938141822814941,
|
357 |
+
"learning_rate": 8.016e-06,
|
358 |
+
"loss": 0.095,
|
359 |
+
"step": 1000
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 3.33,
|
363 |
+
"eval_loss": 0.27550819516181946,
|
364 |
+
"eval_runtime": 345.1723,
|
365 |
+
"eval_samples_per_second": 0.29,
|
366 |
+
"eval_steps_per_second": 0.29,
|
367 |
+
"eval_wer": 60.18099547511312,
|
368 |
+
"step": 1000
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 2.18,
|
372 |
+
"grad_norm": 7.869150638580322,
|
373 |
+
"learning_rate": 7.936e-06,
|
374 |
+
"loss": 0.1443,
|
375 |
+
"step": 1020
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 2.23,
|
379 |
+
"grad_norm": 3.6447396278381348,
|
380 |
+
"learning_rate": 7.860000000000001e-06,
|
381 |
+
"loss": 0.1974,
|
382 |
+
"step": 1040
|
383 |
+
},
|
384 |
+
{
|
385 |
+
"epoch": 2.27,
|
386 |
+
"grad_norm": 9.588157653808594,
|
387 |
+
"learning_rate": 7.78e-06,
|
388 |
+
"loss": 0.1427,
|
389 |
+
"step": 1060
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 2.31,
|
393 |
+
"grad_norm": 10.796669006347656,
|
394 |
+
"learning_rate": 7.7e-06,
|
395 |
+
"loss": 0.187,
|
396 |
+
"step": 1080
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 2.36,
|
400 |
+
"grad_norm": 4.941339015960693,
|
401 |
+
"learning_rate": 7.620000000000001e-06,
|
402 |
+
"loss": 0.1568,
|
403 |
+
"step": 1100
|
404 |
+
},
|
405 |
+
{
|
406 |
+
"epoch": 2.4,
|
407 |
+
"grad_norm": 11.114888191223145,
|
408 |
+
"learning_rate": 7.540000000000001e-06,
|
409 |
+
"loss": 0.1697,
|
410 |
+
"step": 1120
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 2.44,
|
414 |
+
"grad_norm": 10.200749397277832,
|
415 |
+
"learning_rate": 7.4600000000000006e-06,
|
416 |
+
"loss": 0.1675,
|
417 |
+
"step": 1140
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 2.48,
|
421 |
+
"grad_norm": 5.67927360534668,
|
422 |
+
"learning_rate": 7.3800000000000005e-06,
|
423 |
+
"loss": 0.1557,
|
424 |
+
"step": 1160
|
425 |
+
},
|
426 |
+
{
|
427 |
+
"epoch": 2.53,
|
428 |
+
"grad_norm": 7.413832664489746,
|
429 |
+
"learning_rate": 7.304000000000001e-06,
|
430 |
+
"loss": 0.1629,
|
431 |
+
"step": 1180
|
432 |
+
},
|
433 |
+
{
|
434 |
+
"epoch": 2.57,
|
435 |
+
"grad_norm": 6.933262348175049,
|
436 |
+
"learning_rate": 7.224000000000001e-06,
|
437 |
+
"loss": 0.17,
|
438 |
+
"step": 1200
|
439 |
+
},
|
440 |
+
{
|
441 |
+
"epoch": 2.61,
|
442 |
+
"grad_norm": 4.847285747528076,
|
443 |
+
"learning_rate": 7.1440000000000005e-06,
|
444 |
+
"loss": 0.1389,
|
445 |
+
"step": 1220
|
446 |
+
},
|
447 |
+
{
|
448 |
+
"epoch": 2.66,
|
449 |
+
"grad_norm": 19.55495834350586,
|
450 |
+
"learning_rate": 7.0640000000000005e-06,
|
451 |
+
"loss": 0.1338,
|
452 |
+
"step": 1240
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 2.7,
|
456 |
+
"grad_norm": 7.148222923278809,
|
457 |
+
"learning_rate": 6.984e-06,
|
458 |
+
"loss": 0.1296,
|
459 |
+
"step": 1260
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 2.74,
|
463 |
+
"grad_norm": 6.323164939880371,
|
464 |
+
"learning_rate": 6.904e-06,
|
465 |
+
"loss": 0.163,
|
466 |
+
"step": 1280
|
467 |
+
},
|
468 |
+
{
|
469 |
+
"epoch": 2.78,
|
470 |
+
"grad_norm": 9.096046447753906,
|
471 |
+
"learning_rate": 6.824e-06,
|
472 |
+
"loss": 0.1942,
|
473 |
+
"step": 1300
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"epoch": 2.83,
|
477 |
+
"grad_norm": 8.462915420532227,
|
478 |
+
"learning_rate": 6.744e-06,
|
479 |
+
"loss": 0.1576,
|
480 |
+
"step": 1320
|
481 |
+
},
|
482 |
+
{
|
483 |
+
"epoch": 2.87,
|
484 |
+
"grad_norm": 7.848359107971191,
|
485 |
+
"learning_rate": 6.664e-06,
|
486 |
+
"loss": 0.1219,
|
487 |
+
"step": 1340
|
488 |
+
},
|
489 |
+
{
|
490 |
+
"epoch": 2.91,
|
491 |
+
"grad_norm": 6.30383825302124,
|
492 |
+
"learning_rate": 6.584e-06,
|
493 |
+
"loss": 0.1404,
|
494 |
+
"step": 1360
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 2.96,
|
498 |
+
"grad_norm": 5.657530784606934,
|
499 |
+
"learning_rate": 6.504e-06,
|
500 |
+
"loss": 0.1449,
|
501 |
+
"step": 1380
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 3.0,
|
505 |
+
"grad_norm": 7.4172234535217285,
|
506 |
+
"learning_rate": 6.424e-06,
|
507 |
+
"loss": 0.1234,
|
508 |
+
"step": 1400
|
509 |
+
},
|
510 |
+
{
|
511 |
+
"epoch": 3.04,
|
512 |
+
"grad_norm": 6.550841331481934,
|
513 |
+
"learning_rate": 6.344e-06,
|
514 |
+
"loss": 0.0885,
|
515 |
+
"step": 1420
|
516 |
+
},
|
517 |
+
{
|
518 |
+
"epoch": 3.08,
|
519 |
+
"grad_norm": 6.212351322174072,
|
520 |
+
"learning_rate": 6.264e-06,
|
521 |
+
"loss": 0.0725,
|
522 |
+
"step": 1440
|
523 |
+
},
|
524 |
+
{
|
525 |
+
"epoch": 3.13,
|
526 |
+
"grad_norm": 5.2562575340271,
|
527 |
+
"learning_rate": 6.184e-06,
|
528 |
+
"loss": 0.0886,
|
529 |
+
"step": 1460
|
530 |
+
},
|
531 |
+
{
|
532 |
+
"epoch": 3.17,
|
533 |
+
"grad_norm": 7.921740531921387,
|
534 |
+
"learning_rate": 6.104000000000001e-06,
|
535 |
+
"loss": 0.0805,
|
536 |
+
"step": 1480
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 3.21,
|
540 |
+
"grad_norm": 3.5878069400787354,
|
541 |
+
"learning_rate": 6.024000000000001e-06,
|
542 |
+
"loss": 0.0628,
|
543 |
+
"step": 1500
|
544 |
+
},
|
545 |
+
{
|
546 |
+
"epoch": 3.25,
|
547 |
+
"grad_norm": 8.585208892822266,
|
548 |
+
"learning_rate": 5.944000000000001e-06,
|
549 |
+
"loss": 0.0812,
|
550 |
+
"step": 1520
|
551 |
+
},
|
552 |
+
{
|
553 |
+
"epoch": 3.3,
|
554 |
+
"grad_norm": 4.111368656158447,
|
555 |
+
"learning_rate": 5.868e-06,
|
556 |
+
"loss": 0.0694,
|
557 |
+
"step": 1540
|
558 |
+
},
|
559 |
+
{
|
560 |
+
"epoch": 3.34,
|
561 |
+
"grad_norm": 5.304944038391113,
|
562 |
+
"learning_rate": 5.788e-06,
|
563 |
+
"loss": 0.0739,
|
564 |
+
"step": 1560
|
565 |
+
},
|
566 |
+
{
|
567 |
+
"epoch": 3.38,
|
568 |
+
"grad_norm": 6.168578147888184,
|
569 |
+
"learning_rate": 5.708e-06,
|
570 |
+
"loss": 0.0821,
|
571 |
+
"step": 1580
|
572 |
+
},
|
573 |
+
{
|
574 |
+
"epoch": 3.43,
|
575 |
+
"grad_norm": 12.2472505569458,
|
576 |
+
"learning_rate": 5.628e-06,
|
577 |
+
"loss": 0.0885,
|
578 |
+
"step": 1600
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 3.47,
|
582 |
+
"grad_norm": 9.349952697753906,
|
583 |
+
"learning_rate": 5.548e-06,
|
584 |
+
"loss": 0.0607,
|
585 |
+
"step": 1620
|
586 |
+
},
|
587 |
+
{
|
588 |
+
"epoch": 3.51,
|
589 |
+
"grad_norm": 5.98253870010376,
|
590 |
+
"learning_rate": 5.468e-06,
|
591 |
+
"loss": 0.0619,
|
592 |
+
"step": 1640
|
593 |
+
},
|
594 |
+
{
|
595 |
+
"epoch": 3.55,
|
596 |
+
"grad_norm": 7.106723785400391,
|
597 |
+
"learning_rate": 5.388e-06,
|
598 |
+
"loss": 0.0992,
|
599 |
+
"step": 1660
|
600 |
+
},
|
601 |
+
{
|
602 |
+
"epoch": 3.6,
|
603 |
+
"grad_norm": 3.693020820617676,
|
604 |
+
"learning_rate": 5.308000000000001e-06,
|
605 |
+
"loss": 0.0855,
|
606 |
+
"step": 1680
|
607 |
+
},
|
608 |
+
{
|
609 |
+
"epoch": 3.64,
|
610 |
+
"grad_norm": 7.3649678230285645,
|
611 |
+
"learning_rate": 5.228000000000001e-06,
|
612 |
+
"loss": 0.081,
|
613 |
+
"step": 1700
|
614 |
+
},
|
615 |
+
{
|
616 |
+
"epoch": 3.68,
|
617 |
+
"grad_norm": 5.4454240798950195,
|
618 |
+
"learning_rate": 5.1480000000000005e-06,
|
619 |
+
"loss": 0.0872,
|
620 |
+
"step": 1720
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 3.73,
|
624 |
+
"grad_norm": 8.854460716247559,
|
625 |
+
"learning_rate": 5.0680000000000004e-06,
|
626 |
+
"loss": 0.0869,
|
627 |
+
"step": 1740
|
628 |
+
},
|
629 |
+
{
|
630 |
+
"epoch": 3.77,
|
631 |
+
"grad_norm": 3.8615269660949707,
|
632 |
+
"learning_rate": 4.988e-06,
|
633 |
+
"loss": 0.0821,
|
634 |
+
"step": 1760
|
635 |
+
},
|
636 |
+
{
|
637 |
+
"epoch": 3.81,
|
638 |
+
"grad_norm": 3.7190287113189697,
|
639 |
+
"learning_rate": 4.908e-06,
|
640 |
+
"loss": 0.0636,
|
641 |
+
"step": 1780
|
642 |
+
},
|
643 |
+
{
|
644 |
+
"epoch": 3.85,
|
645 |
+
"grad_norm": 7.683879375457764,
|
646 |
+
"learning_rate": 4.828e-06,
|
647 |
+
"loss": 0.0892,
|
648 |
+
"step": 1800
|
649 |
+
},
|
650 |
+
{
|
651 |
+
"epoch": 3.9,
|
652 |
+
"grad_norm": 3.645141839981079,
|
653 |
+
"learning_rate": 4.748e-06,
|
654 |
+
"loss": 0.0803,
|
655 |
+
"step": 1820
|
656 |
+
},
|
657 |
+
{
|
658 |
+
"epoch": 3.94,
|
659 |
+
"grad_norm": 3.8167316913604736,
|
660 |
+
"learning_rate": 4.668e-06,
|
661 |
+
"loss": 0.1012,
|
662 |
+
"step": 1840
|
663 |
+
},
|
664 |
+
{
|
665 |
+
"epoch": 3.98,
|
666 |
+
"grad_norm": 7.247605323791504,
|
667 |
+
"learning_rate": 4.588e-06,
|
668 |
+
"loss": 0.0728,
|
669 |
+
"step": 1860
|
670 |
+
},
|
671 |
+
{
|
672 |
+
"epoch": 4.03,
|
673 |
+
"grad_norm": 3.5495615005493164,
|
674 |
+
"learning_rate": 4.508e-06,
|
675 |
+
"loss": 0.0439,
|
676 |
+
"step": 1880
|
677 |
+
},
|
678 |
+
{
|
679 |
+
"epoch": 4.07,
|
680 |
+
"grad_norm": 4.105050086975098,
|
681 |
+
"learning_rate": 4.428000000000001e-06,
|
682 |
+
"loss": 0.0357,
|
683 |
+
"step": 1900
|
684 |
+
},
|
685 |
+
{
|
686 |
+
"epoch": 4.11,
|
687 |
+
"grad_norm": 9.399913787841797,
|
688 |
+
"learning_rate": 4.3480000000000006e-06,
|
689 |
+
"loss": 0.0363,
|
690 |
+
"step": 1920
|
691 |
+
},
|
692 |
+
{
|
693 |
+
"epoch": 4.15,
|
694 |
+
"grad_norm": 3.0376510620117188,
|
695 |
+
"learning_rate": 4.2680000000000005e-06,
|
696 |
+
"loss": 0.0221,
|
697 |
+
"step": 1940
|
698 |
+
},
|
699 |
+
{
|
700 |
+
"epoch": 4.2,
|
701 |
+
"grad_norm": 0.6908012628555298,
|
702 |
+
"learning_rate": 4.188e-06,
|
703 |
+
"loss": 0.0323,
|
704 |
+
"step": 1960
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 4.24,
|
708 |
+
"grad_norm": 6.255786895751953,
|
709 |
+
"learning_rate": 4.108e-06,
|
710 |
+
"loss": 0.0327,
|
711 |
+
"step": 1980
|
712 |
+
},
|
713 |
+
{
|
714 |
+
"epoch": 4.28,
|
715 |
+
"grad_norm": 7.1336669921875,
|
716 |
+
"learning_rate": 4.028e-06,
|
717 |
+
"loss": 0.0416,
|
718 |
+
"step": 2000
|
719 |
+
},
|
720 |
+
{
|
721 |
+
"epoch": 4.28,
|
722 |
+
"eval_loss": 0.27948442101478577,
|
723 |
+
"eval_runtime": 349.9899,
|
724 |
+
"eval_samples_per_second": 0.286,
|
725 |
+
"eval_steps_per_second": 0.286,
|
726 |
+
"eval_wer": 59.0146750524109,
|
727 |
+
"step": 2000
|
728 |
+
},
|
729 |
+
{
|
730 |
+
"epoch": 1.68,
|
731 |
+
"grad_norm": 13.214738845825195,
|
732 |
+
"learning_rate": 7.250909090909092e-06,
|
733 |
+
"loss": 0.2839,
|
734 |
+
"step": 2020
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 1.7,
|
738 |
+
"grad_norm": 8.846616744995117,
|
739 |
+
"learning_rate": 7.214545454545455e-06,
|
740 |
+
"loss": 0.2221,
|
741 |
+
"step": 2040
|
742 |
+
},
|
743 |
+
{
|
744 |
+
"epoch": 1.72,
|
745 |
+
"grad_norm": 11.778766632080078,
|
746 |
+
"learning_rate": 7.178181818181818e-06,
|
747 |
+
"loss": 0.2394,
|
748 |
+
"step": 2060
|
749 |
+
},
|
750 |
+
{
|
751 |
+
"epoch": 1.73,
|
752 |
+
"grad_norm": 4.484768867492676,
|
753 |
+
"learning_rate": 7.141818181818182e-06,
|
754 |
+
"loss": 0.2299,
|
755 |
+
"step": 2080
|
756 |
+
},
|
757 |
+
{
|
758 |
+
"epoch": 1.75,
|
759 |
+
"grad_norm": 4.385435104370117,
|
760 |
+
"learning_rate": 7.105454545454546e-06,
|
761 |
+
"loss": 0.2221,
|
762 |
+
"step": 2100
|
763 |
+
},
|
764 |
+
{
|
765 |
+
"epoch": 1.77,
|
766 |
+
"grad_norm": 8.751326560974121,
|
767 |
+
"learning_rate": 7.06909090909091e-06,
|
768 |
+
"loss": 0.1966,
|
769 |
+
"step": 2120
|
770 |
+
},
|
771 |
+
{
|
772 |
+
"epoch": 1.78,
|
773 |
+
"grad_norm": 8.837333679199219,
|
774 |
+
"learning_rate": 7.032727272727273e-06,
|
775 |
+
"loss": 0.1893,
|
776 |
+
"step": 2140
|
777 |
+
},
|
778 |
+
{
|
779 |
+
"epoch": 1.8,
|
780 |
+
"grad_norm": 9.331002235412598,
|
781 |
+
"learning_rate": 6.998181818181818e-06,
|
782 |
+
"loss": 0.2365,
|
783 |
+
"step": 2160
|
784 |
+
},
|
785 |
+
{
|
786 |
+
"epoch": 1.82,
|
787 |
+
"grad_norm": 6.599325180053711,
|
788 |
+
"learning_rate": 6.961818181818183e-06,
|
789 |
+
"loss": 0.2152,
|
790 |
+
"step": 2180
|
791 |
+
},
|
792 |
+
{
|
793 |
+
"epoch": 1.83,
|
794 |
+
"grad_norm": 11.716184616088867,
|
795 |
+
"learning_rate": 6.9254545454545464e-06,
|
796 |
+
"loss": 0.203,
|
797 |
+
"step": 2200
|
798 |
+
},
|
799 |
+
{
|
800 |
+
"epoch": 1.85,
|
801 |
+
"grad_norm": 6.506683349609375,
|
802 |
+
"learning_rate": 6.88909090909091e-06,
|
803 |
+
"loss": 0.2162,
|
804 |
+
"step": 2220
|
805 |
+
},
|
806 |
+
{
|
807 |
+
"epoch": 1.87,
|
808 |
+
"grad_norm": 4.64941930770874,
|
809 |
+
"learning_rate": 6.852727272727273e-06,
|
810 |
+
"loss": 0.214,
|
811 |
+
"step": 2240
|
812 |
+
},
|
813 |
+
{
|
814 |
+
"epoch": 1.88,
|
815 |
+
"grad_norm": 8.344452857971191,
|
816 |
+
"learning_rate": 6.816363636363637e-06,
|
817 |
+
"loss": 0.2106,
|
818 |
+
"step": 2260
|
819 |
+
},
|
820 |
+
{
|
821 |
+
"epoch": 1.9,
|
822 |
+
"grad_norm": 5.504006385803223,
|
823 |
+
"learning_rate": 6.780000000000001e-06,
|
824 |
+
"loss": 0.196,
|
825 |
+
"step": 2280
|
826 |
+
},
|
827 |
+
{
|
828 |
+
"epoch": 1.92,
|
829 |
+
"grad_norm": 9.84432601928711,
|
830 |
+
"learning_rate": 6.743636363636365e-06,
|
831 |
+
"loss": 0.2207,
|
832 |
+
"step": 2300
|
833 |
+
},
|
834 |
+
{
|
835 |
+
"epoch": 1.93,
|
836 |
+
"grad_norm": 7.112894535064697,
|
837 |
+
"learning_rate": 6.707272727272728e-06,
|
838 |
+
"loss": 0.2072,
|
839 |
+
"step": 2320
|
840 |
+
},
|
841 |
+
{
|
842 |
+
"epoch": 1.95,
|
843 |
+
"grad_norm": 7.10872745513916,
|
844 |
+
"learning_rate": 6.670909090909091e-06,
|
845 |
+
"loss": 0.1925,
|
846 |
+
"step": 2340
|
847 |
+
},
|
848 |
+
{
|
849 |
+
"epoch": 1.97,
|
850 |
+
"grad_norm": 8.612652778625488,
|
851 |
+
"learning_rate": 6.634545454545455e-06,
|
852 |
+
"loss": 0.2023,
|
853 |
+
"step": 2360
|
854 |
+
},
|
855 |
+
{
|
856 |
+
"epoch": 1.98,
|
857 |
+
"grad_norm": 6.083488941192627,
|
858 |
+
"learning_rate": 6.5981818181818195e-06,
|
859 |
+
"loss": 0.2111,
|
860 |
+
"step": 2380
|
861 |
+
},
|
862 |
+
{
|
863 |
+
"epoch": 2.0,
|
864 |
+
"grad_norm": 7.59145975112915,
|
865 |
+
"learning_rate": 6.561818181818182e-06,
|
866 |
+
"loss": 0.1934,
|
867 |
+
"step": 2400
|
868 |
+
},
|
869 |
+
{
|
870 |
+
"epoch": 2.02,
|
871 |
+
"grad_norm": 6.529219627380371,
|
872 |
+
"learning_rate": 6.525454545454546e-06,
|
873 |
+
"loss": 0.1756,
|
874 |
+
"step": 2420
|
875 |
+
},
|
876 |
+
{
|
877 |
+
"epoch": 2.03,
|
878 |
+
"grad_norm": 13.685791015625,
|
879 |
+
"learning_rate": 6.48909090909091e-06,
|
880 |
+
"loss": 0.1872,
|
881 |
+
"step": 2440
|
882 |
+
},
|
883 |
+
{
|
884 |
+
"epoch": 2.05,
|
885 |
+
"grad_norm": 6.508156776428223,
|
886 |
+
"learning_rate": 6.4527272727272725e-06,
|
887 |
+
"loss": 0.1424,
|
888 |
+
"step": 2460
|
889 |
+
},
|
890 |
+
{
|
891 |
+
"epoch": 2.07,
|
892 |
+
"grad_norm": 4.847611427307129,
|
893 |
+
"learning_rate": 6.416363636363637e-06,
|
894 |
+
"loss": 0.1588,
|
895 |
+
"step": 2480
|
896 |
+
},
|
897 |
+
{
|
898 |
+
"epoch": 2.08,
|
899 |
+
"grad_norm": 5.715017795562744,
|
900 |
+
"learning_rate": 6.380000000000001e-06,
|
901 |
+
"loss": 0.1896,
|
902 |
+
"step": 2500
|
903 |
+
},
|
904 |
+
{
|
905 |
+
"epoch": 2.1,
|
906 |
+
"grad_norm": 10.562045097351074,
|
907 |
+
"learning_rate": 6.3436363636363644e-06,
|
908 |
+
"loss": 0.2007,
|
909 |
+
"step": 2520
|
910 |
+
},
|
911 |
+
{
|
912 |
+
"epoch": 2.12,
|
913 |
+
"grad_norm": 3.2870736122131348,
|
914 |
+
"learning_rate": 6.307272727272727e-06,
|
915 |
+
"loss": 0.179,
|
916 |
+
"step": 2540
|
917 |
+
},
|
918 |
+
{
|
919 |
+
"epoch": 2.13,
|
920 |
+
"grad_norm": 11.021241188049316,
|
921 |
+
"learning_rate": 6.270909090909092e-06,
|
922 |
+
"loss": 0.1573,
|
923 |
+
"step": 2560
|
924 |
+
},
|
925 |
+
{
|
926 |
+
"epoch": 2.15,
|
927 |
+
"grad_norm": 7.566544055938721,
|
928 |
+
"learning_rate": 6.2345454545454555e-06,
|
929 |
+
"loss": 0.1832,
|
930 |
+
"step": 2580
|
931 |
+
},
|
932 |
+
{
|
933 |
+
"epoch": 2.17,
|
934 |
+
"grad_norm": 5.980641841888428,
|
935 |
+
"learning_rate": 6.198181818181819e-06,
|
936 |
+
"loss": 0.1498,
|
937 |
+
"step": 2600
|
938 |
+
},
|
939 |
+
{
|
940 |
+
"epoch": 2.18,
|
941 |
+
"grad_norm": 5.697175025939941,
|
942 |
+
"learning_rate": 6.161818181818182e-06,
|
943 |
+
"loss": 0.1378,
|
944 |
+
"step": 2620
|
945 |
+
},
|
946 |
+
{
|
947 |
+
"epoch": 2.2,
|
948 |
+
"grad_norm": 4.451406002044678,
|
949 |
+
"learning_rate": 6.125454545454546e-06,
|
950 |
+
"loss": 0.152,
|
951 |
+
"step": 2640
|
952 |
+
},
|
953 |
+
{
|
954 |
+
"epoch": 2.22,
|
955 |
+
"grad_norm": 5.854424476623535,
|
956 |
+
"learning_rate": 6.08909090909091e-06,
|
957 |
+
"loss": 0.1492,
|
958 |
+
"step": 2660
|
959 |
+
},
|
960 |
+
{
|
961 |
+
"epoch": 2.23,
|
962 |
+
"grad_norm": 6.480546951293945,
|
963 |
+
"learning_rate": 6.052727272727274e-06,
|
964 |
+
"loss": 0.1501,
|
965 |
+
"step": 2680
|
966 |
+
},
|
967 |
+
{
|
968 |
+
"epoch": 2.25,
|
969 |
+
"grad_norm": 3.3347442150115967,
|
970 |
+
"learning_rate": 6.016363636363637e-06,
|
971 |
+
"loss": 0.132,
|
972 |
+
"step": 2700
|
973 |
+
},
|
974 |
+
{
|
975 |
+
"epoch": 2.27,
|
976 |
+
"grad_norm": 5.9716081619262695,
|
977 |
+
"learning_rate": 5.98e-06,
|
978 |
+
"loss": 0.1483,
|
979 |
+
"step": 2720
|
980 |
+
},
|
981 |
+
{
|
982 |
+
"epoch": 2.28,
|
983 |
+
"grad_norm": 5.842201232910156,
|
984 |
+
"learning_rate": 5.943636363636364e-06,
|
985 |
+
"loss": 0.1688,
|
986 |
+
"step": 2740
|
987 |
+
},
|
988 |
+
{
|
989 |
+
"epoch": 2.3,
|
990 |
+
"grad_norm": 5.079952716827393,
|
991 |
+
"learning_rate": 5.9072727272727285e-06,
|
992 |
+
"loss": 0.167,
|
993 |
+
"step": 2760
|
994 |
+
},
|
995 |
+
{
|
996 |
+
"epoch": 2.32,
|
997 |
+
"grad_norm": 9.07481575012207,
|
998 |
+
"learning_rate": 5.870909090909091e-06,
|
999 |
+
"loss": 0.1581,
|
1000 |
+
"step": 2780
|
1001 |
+
},
|
1002 |
+
{
|
1003 |
+
"epoch": 2.33,
|
1004 |
+
"grad_norm": 9.30324935913086,
|
1005 |
+
"learning_rate": 5.834545454545455e-06,
|
1006 |
+
"loss": 0.1704,
|
1007 |
+
"step": 2800
|
1008 |
+
},
|
1009 |
+
{
|
1010 |
+
"epoch": 2.35,
|
1011 |
+
"grad_norm": 4.848841667175293,
|
1012 |
+
"learning_rate": 5.798181818181819e-06,
|
1013 |
+
"loss": 0.1894,
|
1014 |
+
"step": 2820
|
1015 |
+
},
|
1016 |
+
{
|
1017 |
+
"epoch": 2.37,
|
1018 |
+
"grad_norm": 7.52855110168457,
|
1019 |
+
"learning_rate": 5.7618181818181816e-06,
|
1020 |
+
"loss": 0.1702,
|
1021 |
+
"step": 2840
|
1022 |
+
},
|
1023 |
+
{
|
1024 |
+
"epoch": 2.38,
|
1025 |
+
"grad_norm": 6.624313831329346,
|
1026 |
+
"learning_rate": 5.725454545454546e-06,
|
1027 |
+
"loss": 0.1628,
|
1028 |
+
"step": 2860
|
1029 |
+
},
|
1030 |
+
{
|
1031 |
+
"epoch": 2.4,
|
1032 |
+
"grad_norm": 6.889793872833252,
|
1033 |
+
"learning_rate": 5.68909090909091e-06,
|
1034 |
+
"loss": 0.1705,
|
1035 |
+
"step": 2880
|
1036 |
+
},
|
1037 |
+
{
|
1038 |
+
"epoch": 2.42,
|
1039 |
+
"grad_norm": 5.635292053222656,
|
1040 |
+
"learning_rate": 5.6527272727272734e-06,
|
1041 |
+
"loss": 0.1531,
|
1042 |
+
"step": 2900
|
1043 |
+
},
|
1044 |
+
{
|
1045 |
+
"epoch": 2.43,
|
1046 |
+
"grad_norm": 4.1545729637146,
|
1047 |
+
"learning_rate": 5.616363636363636e-06,
|
1048 |
+
"loss": 0.1371,
|
1049 |
+
"step": 2920
|
1050 |
+
},
|
1051 |
+
{
|
1052 |
+
"epoch": 2.45,
|
1053 |
+
"grad_norm": 7.1985697746276855,
|
1054 |
+
"learning_rate": 5.580000000000001e-06,
|
1055 |
+
"loss": 0.1571,
|
1056 |
+
"step": 2940
|
1057 |
+
},
|
1058 |
+
{
|
1059 |
+
"epoch": 2.47,
|
1060 |
+
"grad_norm": 7.112518310546875,
|
1061 |
+
"learning_rate": 5.5436363636363645e-06,
|
1062 |
+
"loss": 0.1525,
|
1063 |
+
"step": 2960
|
1064 |
+
},
|
1065 |
+
{
|
1066 |
+
"epoch": 2.48,
|
1067 |
+
"grad_norm": 9.503728866577148,
|
1068 |
+
"learning_rate": 5.507272727272728e-06,
|
1069 |
+
"loss": 0.1426,
|
1070 |
+
"step": 2980
|
1071 |
+
},
|
1072 |
+
{
|
1073 |
+
"epoch": 2.5,
|
1074 |
+
"grad_norm": 5.497040271759033,
|
1075 |
+
"learning_rate": 5.470909090909091e-06,
|
1076 |
+
"loss": 0.1501,
|
1077 |
+
"step": 3000
|
1078 |
+
},
|
1079 |
+
{
|
1080 |
+
"epoch": 2.5,
|
1081 |
+
"eval_loss": 0.2098405510187149,
|
1082 |
+
"eval_runtime": 325.0771,
|
1083 |
+
"eval_samples_per_second": 0.308,
|
1084 |
+
"eval_steps_per_second": 0.308,
|
1085 |
+
"eval_wer": 55.5672268907563,
|
1086 |
+
"step": 3000
|
1087 |
+
},
|
1088 |
+
{
|
1089 |
+
"epoch": 2.52,
|
1090 |
+
"grad_norm": 6.7488603591918945,
|
1091 |
+
"learning_rate": 5.434545454545455e-06,
|
1092 |
+
"loss": 0.1647,
|
1093 |
+
"step": 3020
|
1094 |
+
},
|
1095 |
+
{
|
1096 |
+
"epoch": 2.53,
|
1097 |
+
"grad_norm": 5.16122579574585,
|
1098 |
+
"learning_rate": 5.398181818181819e-06,
|
1099 |
+
"loss": 0.1617,
|
1100 |
+
"step": 3040
|
1101 |
+
},
|
1102 |
+
{
|
1103 |
+
"epoch": 2.55,
|
1104 |
+
"grad_norm": 4.19830322265625,
|
1105 |
+
"learning_rate": 5.361818181818183e-06,
|
1106 |
+
"loss": 0.1484,
|
1107 |
+
"step": 3060
|
1108 |
+
},
|
1109 |
+
{
|
1110 |
+
"epoch": 2.57,
|
1111 |
+
"grad_norm": 9.339705467224121,
|
1112 |
+
"learning_rate": 5.325454545454546e-06,
|
1113 |
+
"loss": 0.153,
|
1114 |
+
"step": 3080
|
1115 |
+
},
|
1116 |
+
{
|
1117 |
+
"epoch": 2.58,
|
1118 |
+
"grad_norm": 5.106137752532959,
|
1119 |
+
"learning_rate": 5.289090909090909e-06,
|
1120 |
+
"loss": 0.141,
|
1121 |
+
"step": 3100
|
1122 |
+
},
|
1123 |
+
{
|
1124 |
+
"epoch": 2.6,
|
1125 |
+
"grad_norm": 8.092510223388672,
|
1126 |
+
"learning_rate": 5.252727272727273e-06,
|
1127 |
+
"loss": 0.1443,
|
1128 |
+
"step": 3120
|
1129 |
+
},
|
1130 |
+
{
|
1131 |
+
"epoch": 2.62,
|
1132 |
+
"grad_norm": 5.475297451019287,
|
1133 |
+
"learning_rate": 5.2163636363636376e-06,
|
1134 |
+
"loss": 0.1638,
|
1135 |
+
"step": 3140
|
1136 |
+
},
|
1137 |
+
{
|
1138 |
+
"epoch": 2.63,
|
1139 |
+
"grad_norm": 8.545796394348145,
|
1140 |
+
"learning_rate": 5.18e-06,
|
1141 |
+
"loss": 0.1382,
|
1142 |
+
"step": 3160
|
1143 |
+
},
|
1144 |
+
{
|
1145 |
+
"epoch": 2.65,
|
1146 |
+
"grad_norm": 5.189711093902588,
|
1147 |
+
"learning_rate": 5.143636363636364e-06,
|
1148 |
+
"loss": 0.1492,
|
1149 |
+
"step": 3180
|
1150 |
+
},
|
1151 |
+
{
|
1152 |
+
"epoch": 2.67,
|
1153 |
+
"grad_norm": 7.558894157409668,
|
1154 |
+
"learning_rate": 5.107272727272728e-06,
|
1155 |
+
"loss": 0.1559,
|
1156 |
+
"step": 3200
|
1157 |
+
},
|
1158 |
+
{
|
1159 |
+
"epoch": 2.68,
|
1160 |
+
"grad_norm": 5.985530853271484,
|
1161 |
+
"learning_rate": 5.0709090909090906e-06,
|
1162 |
+
"loss": 0.1605,
|
1163 |
+
"step": 3220
|
1164 |
+
},
|
1165 |
+
{
|
1166 |
+
"epoch": 2.7,
|
1167 |
+
"grad_norm": 6.780598163604736,
|
1168 |
+
"learning_rate": 5.034545454545455e-06,
|
1169 |
+
"loss": 0.148,
|
1170 |
+
"step": 3240
|
1171 |
+
},
|
1172 |
+
{
|
1173 |
+
"epoch": 2.72,
|
1174 |
+
"grad_norm": 6.225440979003906,
|
1175 |
+
"learning_rate": 4.998181818181819e-06,
|
1176 |
+
"loss": 0.1451,
|
1177 |
+
"step": 3260
|
1178 |
+
},
|
1179 |
+
{
|
1180 |
+
"epoch": 2.73,
|
1181 |
+
"grad_norm": 5.706241607666016,
|
1182 |
+
"learning_rate": 4.9618181818181824e-06,
|
1183 |
+
"loss": 0.1814,
|
1184 |
+
"step": 3280
|
1185 |
+
},
|
1186 |
+
{
|
1187 |
+
"epoch": 2.75,
|
1188 |
+
"grad_norm": 7.860342502593994,
|
1189 |
+
"learning_rate": 4.925454545454546e-06,
|
1190 |
+
"loss": 0.1407,
|
1191 |
+
"step": 3300
|
1192 |
+
},
|
1193 |
+
{
|
1194 |
+
"epoch": 2.77,
|
1195 |
+
"grad_norm": 4.965442180633545,
|
1196 |
+
"learning_rate": 4.88909090909091e-06,
|
1197 |
+
"loss": 0.1494,
|
1198 |
+
"step": 3320
|
1199 |
+
},
|
1200 |
+
{
|
1201 |
+
"epoch": 2.78,
|
1202 |
+
"grad_norm": 9.562829971313477,
|
1203 |
+
"learning_rate": 4.8527272727272735e-06,
|
1204 |
+
"loss": 0.1577,
|
1205 |
+
"step": 3340
|
1206 |
+
},
|
1207 |
+
{
|
1208 |
+
"epoch": 2.8,
|
1209 |
+
"grad_norm": 6.261291027069092,
|
1210 |
+
"learning_rate": 4.816363636363637e-06,
|
1211 |
+
"loss": 0.1561,
|
1212 |
+
"step": 3360
|
1213 |
+
},
|
1214 |
+
{
|
1215 |
+
"epoch": 2.82,
|
1216 |
+
"grad_norm": 5.747939109802246,
|
1217 |
+
"learning_rate": 4.78e-06,
|
1218 |
+
"loss": 0.1344,
|
1219 |
+
"step": 3380
|
1220 |
+
},
|
1221 |
+
{
|
1222 |
+
"epoch": 2.83,
|
1223 |
+
"grad_norm": 8.154770851135254,
|
1224 |
+
"learning_rate": 4.7436363636363645e-06,
|
1225 |
+
"loss": 0.1419,
|
1226 |
+
"step": 3400
|
1227 |
+
},
|
1228 |
+
{
|
1229 |
+
"epoch": 2.85,
|
1230 |
+
"grad_norm": 5.976426601409912,
|
1231 |
+
"learning_rate": 4.707272727272727e-06,
|
1232 |
+
"loss": 0.1314,
|
1233 |
+
"step": 3420
|
1234 |
+
},
|
1235 |
+
{
|
1236 |
+
"epoch": 2.87,
|
1237 |
+
"grad_norm": 4.834322452545166,
|
1238 |
+
"learning_rate": 4.670909090909092e-06,
|
1239 |
+
"loss": 0.1128,
|
1240 |
+
"step": 3440
|
1241 |
+
},
|
1242 |
+
{
|
1243 |
+
"epoch": 2.88,
|
1244 |
+
"grad_norm": 8.85062026977539,
|
1245 |
+
"learning_rate": 4.634545454545455e-06,
|
1246 |
+
"loss": 0.1718,
|
1247 |
+
"step": 3460
|
1248 |
+
},
|
1249 |
+
{
|
1250 |
+
"epoch": 2.9,
|
1251 |
+
"grad_norm": 3.992954969406128,
|
1252 |
+
"learning_rate": 4.598181818181818e-06,
|
1253 |
+
"loss": 0.1341,
|
1254 |
+
"step": 3480
|
1255 |
+
},
|
1256 |
+
{
|
1257 |
+
"epoch": 2.92,
|
1258 |
+
"grad_norm": 6.488000392913818,
|
1259 |
+
"learning_rate": 4.561818181818182e-06,
|
1260 |
+
"loss": 0.1401,
|
1261 |
+
"step": 3500
|
1262 |
+
},
|
1263 |
+
{
|
1264 |
+
"epoch": 2.93,
|
1265 |
+
"grad_norm": 4.876968860626221,
|
1266 |
+
"learning_rate": 4.525454545454546e-06,
|
1267 |
+
"loss": 0.1319,
|
1268 |
+
"step": 3520
|
1269 |
+
},
|
1270 |
+
{
|
1271 |
+
"epoch": 2.95,
|
1272 |
+
"grad_norm": 7.407408237457275,
|
1273 |
+
"learning_rate": 4.489090909090909e-06,
|
1274 |
+
"loss": 0.1377,
|
1275 |
+
"step": 3540
|
1276 |
+
},
|
1277 |
+
{
|
1278 |
+
"epoch": 2.97,
|
1279 |
+
"grad_norm": 5.017177104949951,
|
1280 |
+
"learning_rate": 4.452727272727273e-06,
|
1281 |
+
"loss": 0.1732,
|
1282 |
+
"step": 3560
|
1283 |
+
},
|
1284 |
+
{
|
1285 |
+
"epoch": 2.98,
|
1286 |
+
"grad_norm": 8.190740585327148,
|
1287 |
+
"learning_rate": 4.416363636363637e-06,
|
1288 |
+
"loss": 0.1225,
|
1289 |
+
"step": 3580
|
1290 |
+
},
|
1291 |
+
{
|
1292 |
+
"epoch": 3.0,
|
1293 |
+
"grad_norm": 7.947383403778076,
|
1294 |
+
"learning_rate": 4.38e-06,
|
1295 |
+
"loss": 0.1454,
|
1296 |
+
"step": 3600
|
1297 |
+
},
|
1298 |
+
{
|
1299 |
+
"epoch": 3.02,
|
1300 |
+
"grad_norm": 5.404466152191162,
|
1301 |
+
"learning_rate": 4.343636363636364e-06,
|
1302 |
+
"loss": 0.0746,
|
1303 |
+
"step": 3620
|
1304 |
+
},
|
1305 |
+
{
|
1306 |
+
"epoch": 3.03,
|
1307 |
+
"grad_norm": 5.470146179199219,
|
1308 |
+
"learning_rate": 4.307272727272728e-06,
|
1309 |
+
"loss": 0.0725,
|
1310 |
+
"step": 3640
|
1311 |
+
},
|
1312 |
+
{
|
1313 |
+
"epoch": 3.05,
|
1314 |
+
"grad_norm": 4.404048919677734,
|
1315 |
+
"learning_rate": 4.2709090909090914e-06,
|
1316 |
+
"loss": 0.088,
|
1317 |
+
"step": 3660
|
1318 |
+
},
|
1319 |
+
{
|
1320 |
+
"epoch": 3.07,
|
1321 |
+
"grad_norm": 3.169548273086548,
|
1322 |
+
"learning_rate": 4.234545454545455e-06,
|
1323 |
+
"loss": 0.0811,
|
1324 |
+
"step": 3680
|
1325 |
+
},
|
1326 |
+
{
|
1327 |
+
"epoch": 3.08,
|
1328 |
+
"grad_norm": 2.710052967071533,
|
1329 |
+
"learning_rate": 4.198181818181819e-06,
|
1330 |
+
"loss": 0.0646,
|
1331 |
+
"step": 3700
|
1332 |
+
},
|
1333 |
+
{
|
1334 |
+
"epoch": 3.1,
|
1335 |
+
"grad_norm": 5.970617294311523,
|
1336 |
+
"learning_rate": 4.1618181818181825e-06,
|
1337 |
+
"loss": 0.0789,
|
1338 |
+
"step": 3720
|
1339 |
+
},
|
1340 |
+
{
|
1341 |
+
"epoch": 3.12,
|
1342 |
+
"grad_norm": 4.657149791717529,
|
1343 |
+
"learning_rate": 4.125454545454546e-06,
|
1344 |
+
"loss": 0.0814,
|
1345 |
+
"step": 3740
|
1346 |
+
},
|
1347 |
+
{
|
1348 |
+
"epoch": 3.13,
|
1349 |
+
"grad_norm": 4.4107666015625,
|
1350 |
+
"learning_rate": 4.089090909090909e-06,
|
1351 |
+
"loss": 0.0831,
|
1352 |
+
"step": 3760
|
1353 |
+
},
|
1354 |
+
{
|
1355 |
+
"epoch": 3.15,
|
1356 |
+
"grad_norm": 6.185523509979248,
|
1357 |
+
"learning_rate": 4.0527272727272735e-06,
|
1358 |
+
"loss": 0.0672,
|
1359 |
+
"step": 3780
|
1360 |
+
},
|
1361 |
+
{
|
1362 |
+
"epoch": 3.17,
|
1363 |
+
"grad_norm": 3.5439445972442627,
|
1364 |
+
"learning_rate": 4.016363636363636e-06,
|
1365 |
+
"loss": 0.0839,
|
1366 |
+
"step": 3800
|
1367 |
+
},
|
1368 |
+
{
|
1369 |
+
"epoch": 3.18,
|
1370 |
+
"grad_norm": 5.79164981842041,
|
1371 |
+
"learning_rate": 3.980000000000001e-06,
|
1372 |
+
"loss": 0.0692,
|
1373 |
+
"step": 3820
|
1374 |
+
},
|
1375 |
+
{
|
1376 |
+
"epoch": 3.2,
|
1377 |
+
"grad_norm": 6.883912086486816,
|
1378 |
+
"learning_rate": 3.943636363636364e-06,
|
1379 |
+
"loss": 0.0798,
|
1380 |
+
"step": 3840
|
1381 |
+
},
|
1382 |
+
{
|
1383 |
+
"epoch": 3.22,
|
1384 |
+
"grad_norm": 4.028432846069336,
|
1385 |
+
"learning_rate": 3.907272727272727e-06,
|
1386 |
+
"loss": 0.0808,
|
1387 |
+
"step": 3860
|
1388 |
+
},
|
1389 |
+
{
|
1390 |
+
"epoch": 3.23,
|
1391 |
+
"grad_norm": 4.477746486663818,
|
1392 |
+
"learning_rate": 3.870909090909091e-06,
|
1393 |
+
"loss": 0.0781,
|
1394 |
+
"step": 3880
|
1395 |
+
},
|
1396 |
+
{
|
1397 |
+
"epoch": 3.25,
|
1398 |
+
"grad_norm": 2.0900027751922607,
|
1399 |
+
"learning_rate": 3.834545454545455e-06,
|
1400 |
+
"loss": 0.073,
|
1401 |
+
"step": 3900
|
1402 |
+
},
|
1403 |
+
{
|
1404 |
+
"epoch": 3.27,
|
1405 |
+
"grad_norm": 2.609961748123169,
|
1406 |
+
"learning_rate": 3.798181818181819e-06,
|
1407 |
+
"loss": 0.0961,
|
1408 |
+
"step": 3920
|
1409 |
+
},
|
1410 |
+
{
|
1411 |
+
"epoch": 3.28,
|
1412 |
+
"grad_norm": 6.023408889770508,
|
1413 |
+
"learning_rate": 3.761818181818182e-06,
|
1414 |
+
"loss": 0.0806,
|
1415 |
+
"step": 3940
|
1416 |
+
},
|
1417 |
+
{
|
1418 |
+
"epoch": 3.3,
|
1419 |
+
"grad_norm": 5.091029167175293,
|
1420 |
+
"learning_rate": 3.725454545454546e-06,
|
1421 |
+
"loss": 0.0681,
|
1422 |
+
"step": 3960
|
1423 |
+
},
|
1424 |
+
{
|
1425 |
+
"epoch": 3.32,
|
1426 |
+
"grad_norm": 5.474444389343262,
|
1427 |
+
"learning_rate": 3.6890909090909094e-06,
|
1428 |
+
"loss": 0.0817,
|
1429 |
+
"step": 3980
|
1430 |
+
},
|
1431 |
+
{
|
1432 |
+
"epoch": 3.33,
|
1433 |
+
"grad_norm": 5.174444198608398,
|
1434 |
+
"learning_rate": 3.6527272727272727e-06,
|
1435 |
+
"loss": 0.0827,
|
1436 |
+
"step": 4000
|
1437 |
+
},
|
1438 |
+
{
|
1439 |
+
"epoch": 3.33,
|
1440 |
+
"eval_loss": 0.20179511606693268,
|
1441 |
+
"eval_runtime": 319.617,
|
1442 |
+
"eval_samples_per_second": 0.313,
|
1443 |
+
"eval_steps_per_second": 0.313,
|
1444 |
+
"eval_wer": 51.78571428571429,
|
1445 |
+
"step": 4000
|
1446 |
+
},
|
1447 |
+
{
|
1448 |
+
"epoch": 3.35,
|
1449 |
+
"grad_norm": 6.867219924926758,
|
1450 |
+
"learning_rate": 3.6163636363636368e-06,
|
1451 |
+
"loss": 0.0721,
|
1452 |
+
"step": 4020
|
1453 |
+
},
|
1454 |
+
{
|
1455 |
+
"epoch": 3.37,
|
1456 |
+
"grad_norm": 3.8965790271759033,
|
1457 |
+
"learning_rate": 3.58e-06,
|
1458 |
+
"loss": 0.0912,
|
1459 |
+
"step": 4040
|
1460 |
+
},
|
1461 |
+
{
|
1462 |
+
"epoch": 3.38,
|
1463 |
+
"grad_norm": 5.221298694610596,
|
1464 |
+
"learning_rate": 3.543636363636364e-06,
|
1465 |
+
"loss": 0.0674,
|
1466 |
+
"step": 4060
|
1467 |
+
},
|
1468 |
+
{
|
1469 |
+
"epoch": 3.4,
|
1470 |
+
"grad_norm": 6.95012092590332,
|
1471 |
+
"learning_rate": 3.5072727272727274e-06,
|
1472 |
+
"loss": 0.098,
|
1473 |
+
"step": 4080
|
1474 |
+
},
|
1475 |
+
{
|
1476 |
+
"epoch": 3.42,
|
1477 |
+
"grad_norm": 8.342905044555664,
|
1478 |
+
"learning_rate": 3.4709090909090915e-06,
|
1479 |
+
"loss": 0.0741,
|
1480 |
+
"step": 4100
|
1481 |
+
},
|
1482 |
+
{
|
1483 |
+
"epoch": 3.43,
|
1484 |
+
"grad_norm": 4.47432804107666,
|
1485 |
+
"learning_rate": 3.4345454545454547e-06,
|
1486 |
+
"loss": 0.0743,
|
1487 |
+
"step": 4120
|
1488 |
+
},
|
1489 |
+
{
|
1490 |
+
"epoch": 3.45,
|
1491 |
+
"grad_norm": 4.369394779205322,
|
1492 |
+
"learning_rate": 3.3981818181818184e-06,
|
1493 |
+
"loss": 0.0728,
|
1494 |
+
"step": 4140
|
1495 |
+
},
|
1496 |
+
{
|
1497 |
+
"epoch": 3.47,
|
1498 |
+
"grad_norm": 4.1392035484313965,
|
1499 |
+
"learning_rate": 3.361818181818182e-06,
|
1500 |
+
"loss": 0.0576,
|
1501 |
+
"step": 4160
|
1502 |
+
},
|
1503 |
+
{
|
1504 |
+
"epoch": 3.48,
|
1505 |
+
"grad_norm": 8.901311874389648,
|
1506 |
+
"learning_rate": 3.3254545454545458e-06,
|
1507 |
+
"loss": 0.0723,
|
1508 |
+
"step": 4180
|
1509 |
+
},
|
1510 |
+
{
|
1511 |
+
"epoch": 3.5,
|
1512 |
+
"grad_norm": 10.933469772338867,
|
1513 |
+
"learning_rate": 3.2890909090909094e-06,
|
1514 |
+
"loss": 0.0846,
|
1515 |
+
"step": 4200
|
1516 |
+
},
|
1517 |
+
{
|
1518 |
+
"epoch": 3.52,
|
1519 |
+
"grad_norm": 2.7586188316345215,
|
1520 |
+
"learning_rate": 3.252727272727273e-06,
|
1521 |
+
"loss": 0.0724,
|
1522 |
+
"step": 4220
|
1523 |
+
},
|
1524 |
+
{
|
1525 |
+
"epoch": 3.53,
|
1526 |
+
"grad_norm": 6.231330871582031,
|
1527 |
+
"learning_rate": 3.2163636363636364e-06,
|
1528 |
+
"loss": 0.0833,
|
1529 |
+
"step": 4240
|
1530 |
+
},
|
1531 |
+
{
|
1532 |
+
"epoch": 3.55,
|
1533 |
+
"grad_norm": 6.514349460601807,
|
1534 |
+
"learning_rate": 3.1800000000000005e-06,
|
1535 |
+
"loss": 0.0693,
|
1536 |
+
"step": 4260
|
1537 |
+
},
|
1538 |
+
{
|
1539 |
+
"epoch": 3.57,
|
1540 |
+
"grad_norm": 6.608529090881348,
|
1541 |
+
"learning_rate": 3.1436363636363637e-06,
|
1542 |
+
"loss": 0.0839,
|
1543 |
+
"step": 4280
|
1544 |
+
},
|
1545 |
+
{
|
1546 |
+
"epoch": 3.58,
|
1547 |
+
"grad_norm": 4.276981353759766,
|
1548 |
+
"learning_rate": 3.107272727272728e-06,
|
1549 |
+
"loss": 0.0783,
|
1550 |
+
"step": 4300
|
1551 |
+
},
|
1552 |
+
{
|
1553 |
+
"epoch": 3.6,
|
1554 |
+
"grad_norm": 3.6309165954589844,
|
1555 |
+
"learning_rate": 3.070909090909091e-06,
|
1556 |
+
"loss": 0.0704,
|
1557 |
+
"step": 4320
|
1558 |
+
},
|
1559 |
+
{
|
1560 |
+
"epoch": 3.62,
|
1561 |
+
"grad_norm": 4.466903209686279,
|
1562 |
+
"learning_rate": 3.034545454545455e-06,
|
1563 |
+
"loss": 0.0837,
|
1564 |
+
"step": 4340
|
1565 |
+
},
|
1566 |
+
{
|
1567 |
+
"epoch": 3.63,
|
1568 |
+
"grad_norm": 3.0481879711151123,
|
1569 |
+
"learning_rate": 2.9981818181818184e-06,
|
1570 |
+
"loss": 0.0789,
|
1571 |
+
"step": 4360
|
1572 |
+
},
|
1573 |
+
{
|
1574 |
+
"epoch": 3.65,
|
1575 |
+
"grad_norm": 4.183527946472168,
|
1576 |
+
"learning_rate": 2.9618181818181817e-06,
|
1577 |
+
"loss": 0.0679,
|
1578 |
+
"step": 4380
|
1579 |
+
},
|
1580 |
+
{
|
1581 |
+
"epoch": 3.67,
|
1582 |
+
"grad_norm": 7.014336585998535,
|
1583 |
+
"learning_rate": 2.9254545454545458e-06,
|
1584 |
+
"loss": 0.0754,
|
1585 |
+
"step": 4400
|
1586 |
+
},
|
1587 |
+
{
|
1588 |
+
"epoch": 3.68,
|
1589 |
+
"grad_norm": 3.5609641075134277,
|
1590 |
+
"learning_rate": 2.889090909090909e-06,
|
1591 |
+
"loss": 0.0645,
|
1592 |
+
"step": 4420
|
1593 |
+
},
|
1594 |
+
{
|
1595 |
+
"epoch": 3.7,
|
1596 |
+
"grad_norm": 7.09955358505249,
|
1597 |
+
"learning_rate": 2.852727272727273e-06,
|
1598 |
+
"loss": 0.0582,
|
1599 |
+
"step": 4440
|
1600 |
+
},
|
1601 |
+
{
|
1602 |
+
"epoch": 3.72,
|
1603 |
+
"grad_norm": 5.648538589477539,
|
1604 |
+
"learning_rate": 2.8163636363636364e-06,
|
1605 |
+
"loss": 0.0741,
|
1606 |
+
"step": 4460
|
1607 |
+
},
|
1608 |
+
{
|
1609 |
+
"epoch": 3.73,
|
1610 |
+
"grad_norm": 4.694089889526367,
|
1611 |
+
"learning_rate": 2.7800000000000005e-06,
|
1612 |
+
"loss": 0.0952,
|
1613 |
+
"step": 4480
|
1614 |
+
},
|
1615 |
+
{
|
1616 |
+
"epoch": 3.75,
|
1617 |
+
"grad_norm": 5.376272201538086,
|
1618 |
+
"learning_rate": 2.7436363636363637e-06,
|
1619 |
+
"loss": 0.0709,
|
1620 |
+
"step": 4500
|
1621 |
+
},
|
1622 |
+
{
|
1623 |
+
"epoch": 3.77,
|
1624 |
+
"grad_norm": 4.306270599365234,
|
1625 |
+
"learning_rate": 2.7072727272727274e-06,
|
1626 |
+
"loss": 0.0833,
|
1627 |
+
"step": 4520
|
1628 |
+
},
|
1629 |
+
{
|
1630 |
+
"epoch": 3.78,
|
1631 |
+
"grad_norm": 2.599487066268921,
|
1632 |
+
"learning_rate": 2.670909090909091e-06,
|
1633 |
+
"loss": 0.0794,
|
1634 |
+
"step": 4540
|
1635 |
+
},
|
1636 |
+
{
|
1637 |
+
"epoch": 3.8,
|
1638 |
+
"grad_norm": 4.195871353149414,
|
1639 |
+
"learning_rate": 2.6345454545454548e-06,
|
1640 |
+
"loss": 0.0833,
|
1641 |
+
"step": 4560
|
1642 |
+
},
|
1643 |
+
{
|
1644 |
+
"epoch": 3.82,
|
1645 |
+
"grad_norm": 5.1401543617248535,
|
1646 |
+
"learning_rate": 2.5981818181818184e-06,
|
1647 |
+
"loss": 0.0585,
|
1648 |
+
"step": 4580
|
1649 |
+
},
|
1650 |
+
{
|
1651 |
+
"epoch": 3.83,
|
1652 |
+
"grad_norm": 8.566014289855957,
|
1653 |
+
"learning_rate": 2.561818181818182e-06,
|
1654 |
+
"loss": 0.0821,
|
1655 |
+
"step": 4600
|
1656 |
+
},
|
1657 |
+
{
|
1658 |
+
"epoch": 3.85,
|
1659 |
+
"grad_norm": 4.7075419425964355,
|
1660 |
+
"learning_rate": 2.525454545454546e-06,
|
1661 |
+
"loss": 0.0791,
|
1662 |
+
"step": 4620
|
1663 |
+
},
|
1664 |
+
{
|
1665 |
+
"epoch": 3.87,
|
1666 |
+
"grad_norm": 6.129905700683594,
|
1667 |
+
"learning_rate": 2.4890909090909095e-06,
|
1668 |
+
"loss": 0.0779,
|
1669 |
+
"step": 4640
|
1670 |
+
},
|
1671 |
+
{
|
1672 |
+
"epoch": 3.88,
|
1673 |
+
"grad_norm": 3.7267708778381348,
|
1674 |
+
"learning_rate": 2.452727272727273e-06,
|
1675 |
+
"loss": 0.0612,
|
1676 |
+
"step": 4660
|
1677 |
+
},
|
1678 |
+
{
|
1679 |
+
"epoch": 3.9,
|
1680 |
+
"grad_norm": 4.743310928344727,
|
1681 |
+
"learning_rate": 2.416363636363637e-06,
|
1682 |
+
"loss": 0.0796,
|
1683 |
+
"step": 4680
|
1684 |
+
},
|
1685 |
+
{
|
1686 |
+
"epoch": 3.92,
|
1687 |
+
"grad_norm": 4.7333173751831055,
|
1688 |
+
"learning_rate": 2.38e-06,
|
1689 |
+
"loss": 0.073,
|
1690 |
+
"step": 4700
|
1691 |
+
},
|
1692 |
+
{
|
1693 |
+
"epoch": 3.93,
|
1694 |
+
"grad_norm": 4.569043159484863,
|
1695 |
+
"learning_rate": 2.3436363636363638e-06,
|
1696 |
+
"loss": 0.0677,
|
1697 |
+
"step": 4720
|
1698 |
+
},
|
1699 |
+
{
|
1700 |
+
"epoch": 3.95,
|
1701 |
+
"grad_norm": 4.0430755615234375,
|
1702 |
+
"learning_rate": 2.3072727272727274e-06,
|
1703 |
+
"loss": 0.0627,
|
1704 |
+
"step": 4740
|
1705 |
+
},
|
1706 |
+
{
|
1707 |
+
"epoch": 3.97,
|
1708 |
+
"grad_norm": 6.368178367614746,
|
1709 |
+
"learning_rate": 2.270909090909091e-06,
|
1710 |
+
"loss": 0.0789,
|
1711 |
+
"step": 4760
|
1712 |
+
},
|
1713 |
+
{
|
1714 |
+
"epoch": 3.98,
|
1715 |
+
"grad_norm": 3.39155912399292,
|
1716 |
+
"learning_rate": 2.234545454545455e-06,
|
1717 |
+
"loss": 0.0702,
|
1718 |
+
"step": 4780
|
1719 |
+
},
|
1720 |
+
{
|
1721 |
+
"epoch": 4.0,
|
1722 |
+
"grad_norm": 6.195110321044922,
|
1723 |
+
"learning_rate": 2.1981818181818185e-06,
|
1724 |
+
"loss": 0.062,
|
1725 |
+
"step": 4800
|
1726 |
+
},
|
1727 |
+
{
|
1728 |
+
"epoch": 4.02,
|
1729 |
+
"grad_norm": 1.523270845413208,
|
1730 |
+
"learning_rate": 2.1618181818181817e-06,
|
1731 |
+
"loss": 0.0333,
|
1732 |
+
"step": 4820
|
1733 |
+
},
|
1734 |
+
{
|
1735 |
+
"epoch": 4.03,
|
1736 |
+
"grad_norm": 2.800551414489746,
|
1737 |
+
"learning_rate": 2.1254545454545454e-06,
|
1738 |
+
"loss": 0.0425,
|
1739 |
+
"step": 4840
|
1740 |
+
},
|
1741 |
+
{
|
1742 |
+
"epoch": 4.05,
|
1743 |
+
"grad_norm": 2.0081329345703125,
|
1744 |
+
"learning_rate": 2.089090909090909e-06,
|
1745 |
+
"loss": 0.0352,
|
1746 |
+
"step": 4860
|
1747 |
+
},
|
1748 |
+
{
|
1749 |
+
"epoch": 4.07,
|
1750 |
+
"grad_norm": 2.3982510566711426,
|
1751 |
+
"learning_rate": 2.0527272727272727e-06,
|
1752 |
+
"loss": 0.0307,
|
1753 |
+
"step": 4880
|
1754 |
+
},
|
1755 |
+
{
|
1756 |
+
"epoch": 4.08,
|
1757 |
+
"grad_norm": 3.013807535171509,
|
1758 |
+
"learning_rate": 2.0163636363636364e-06,
|
1759 |
+
"loss": 0.0354,
|
1760 |
+
"step": 4900
|
1761 |
+
},
|
1762 |
+
{
|
1763 |
+
"epoch": 4.1,
|
1764 |
+
"grad_norm": 4.255500793457031,
|
1765 |
+
"learning_rate": 1.98e-06,
|
1766 |
+
"loss": 0.0372,
|
1767 |
+
"step": 4920
|
1768 |
+
},
|
1769 |
+
{
|
1770 |
+
"epoch": 4.12,
|
1771 |
+
"grad_norm": 4.95035982131958,
|
1772 |
+
"learning_rate": 1.9436363636363638e-06,
|
1773 |
+
"loss": 0.0342,
|
1774 |
+
"step": 4940
|
1775 |
+
},
|
1776 |
+
{
|
1777 |
+
"epoch": 4.13,
|
1778 |
+
"grad_norm": 3.9183099269866943,
|
1779 |
+
"learning_rate": 1.9072727272727272e-06,
|
1780 |
+
"loss": 0.0306,
|
1781 |
+
"step": 4960
|
1782 |
+
},
|
1783 |
+
{
|
1784 |
+
"epoch": 4.15,
|
1785 |
+
"grad_norm": 2.7411577701568604,
|
1786 |
+
"learning_rate": 1.870909090909091e-06,
|
1787 |
+
"loss": 0.0402,
|
1788 |
+
"step": 4980
|
1789 |
+
},
|
1790 |
+
{
|
1791 |
+
"epoch": 4.17,
|
1792 |
+
"grad_norm": 6.921283721923828,
|
1793 |
+
"learning_rate": 1.8345454545454546e-06,
|
1794 |
+
"loss": 0.0459,
|
1795 |
+
"step": 5000
|
1796 |
+
},
|
1797 |
+
{
|
1798 |
+
"epoch": 4.17,
|
1799 |
+
"eval_loss": 0.20849908888339996,
|
1800 |
+
"eval_runtime": 329.3813,
|
1801 |
+
"eval_samples_per_second": 0.304,
|
1802 |
+
"eval_steps_per_second": 0.304,
|
1803 |
+
"eval_wer": 47.37394957983193,
|
1804 |
+
"step": 5000
|
1805 |
+
},
|
1806 |
+
{
|
1807 |
+
"epoch": 5.02,
|
1808 |
+
"grad_norm": 8.357197761535645,
|
1809 |
+
"learning_rate": 3.0600000000000003e-06,
|
1810 |
+
"loss": 0.1655,
|
1811 |
+
"step": 5020
|
1812 |
+
},
|
1813 |
+
{
|
1814 |
+
"epoch": 5.04,
|
1815 |
+
"grad_norm": 10.608843803405762,
|
1816 |
+
"learning_rate": 3.030769230769231e-06,
|
1817 |
+
"loss": 0.1504,
|
1818 |
+
"step": 5040
|
1819 |
+
},
|
1820 |
+
{
|
1821 |
+
"epoch": 5.06,
|
1822 |
+
"grad_norm": 12.850112915039062,
|
1823 |
+
"learning_rate": 3e-06,
|
1824 |
+
"loss": 0.1624,
|
1825 |
+
"step": 5060
|
1826 |
+
},
|
1827 |
+
{
|
1828 |
+
"epoch": 5.08,
|
1829 |
+
"grad_norm": 7.485651969909668,
|
1830 |
+
"learning_rate": 2.969230769230769e-06,
|
1831 |
+
"loss": 0.16,
|
1832 |
+
"step": 5080
|
1833 |
+
},
|
1834 |
+
{
|
1835 |
+
"epoch": 5.1,
|
1836 |
+
"grad_norm": 7.200412273406982,
|
1837 |
+
"learning_rate": 2.938461538461539e-06,
|
1838 |
+
"loss": 0.1432,
|
1839 |
+
"step": 5100
|
1840 |
+
},
|
1841 |
+
{
|
1842 |
+
"epoch": 5.12,
|
1843 |
+
"grad_norm": 3.8365743160247803,
|
1844 |
+
"learning_rate": 2.907692307692308e-06,
|
1845 |
+
"loss": 0.1384,
|
1846 |
+
"step": 5120
|
1847 |
+
},
|
1848 |
+
{
|
1849 |
+
"epoch": 5.14,
|
1850 |
+
"grad_norm": 7.808358669281006,
|
1851 |
+
"learning_rate": 2.8769230769230772e-06,
|
1852 |
+
"loss": 0.1554,
|
1853 |
+
"step": 5140
|
1854 |
+
},
|
1855 |
+
{
|
1856 |
+
"epoch": 5.16,
|
1857 |
+
"grad_norm": 10.08485221862793,
|
1858 |
+
"learning_rate": 2.846153846153846e-06,
|
1859 |
+
"loss": 0.134,
|
1860 |
+
"step": 5160
|
1861 |
+
},
|
1862 |
+
{
|
1863 |
+
"epoch": 5.18,
|
1864 |
+
"grad_norm": 6.713149547576904,
|
1865 |
+
"learning_rate": 2.815384615384615e-06,
|
1866 |
+
"loss": 0.1719,
|
1867 |
+
"step": 5180
|
1868 |
+
},
|
1869 |
+
{
|
1870 |
+
"epoch": 5.2,
|
1871 |
+
"grad_norm": 7.925513744354248,
|
1872 |
+
"learning_rate": 2.784615384615385e-06,
|
1873 |
+
"loss": 0.1531,
|
1874 |
+
"step": 5200
|
1875 |
+
},
|
1876 |
+
{
|
1877 |
+
"epoch": 5.22,
|
1878 |
+
"grad_norm": 7.1876115798950195,
|
1879 |
+
"learning_rate": 2.753846153846154e-06,
|
1880 |
+
"loss": 0.142,
|
1881 |
+
"step": 5220
|
1882 |
+
},
|
1883 |
+
{
|
1884 |
+
"epoch": 5.24,
|
1885 |
+
"grad_norm": 8.050920486450195,
|
1886 |
+
"learning_rate": 2.7230769230769234e-06,
|
1887 |
+
"loss": 0.1563,
|
1888 |
+
"step": 5240
|
1889 |
+
},
|
1890 |
+
{
|
1891 |
+
"epoch": 5.26,
|
1892 |
+
"grad_norm": 7.64823579788208,
|
1893 |
+
"learning_rate": 2.6923076923076923e-06,
|
1894 |
+
"loss": 0.1382,
|
1895 |
+
"step": 5260
|
1896 |
+
},
|
1897 |
+
{
|
1898 |
+
"epoch": 5.28,
|
1899 |
+
"grad_norm": 12.070975303649902,
|
1900 |
+
"learning_rate": 2.6615384615384613e-06,
|
1901 |
+
"loss": 0.1455,
|
1902 |
+
"step": 5280
|
1903 |
+
},
|
1904 |
+
{
|
1905 |
+
"epoch": 5.3,
|
1906 |
+
"grad_norm": 9.54661750793457,
|
1907 |
+
"learning_rate": 2.630769230769231e-06,
|
1908 |
+
"loss": 0.1487,
|
1909 |
+
"step": 5300
|
1910 |
+
},
|
1911 |
+
{
|
1912 |
+
"epoch": 5.32,
|
1913 |
+
"grad_norm": 10.481926918029785,
|
1914 |
+
"learning_rate": 2.6e-06,
|
1915 |
+
"loss": 0.1259,
|
1916 |
+
"step": 5320
|
1917 |
+
},
|
1918 |
+
{
|
1919 |
+
"epoch": 5.34,
|
1920 |
+
"grad_norm": 4.108445167541504,
|
1921 |
+
"learning_rate": 2.5692307692307695e-06,
|
1922 |
+
"loss": 0.1353,
|
1923 |
+
"step": 5340
|
1924 |
+
},
|
1925 |
+
{
|
1926 |
+
"epoch": 5.36,
|
1927 |
+
"grad_norm": 8.814416885375977,
|
1928 |
+
"learning_rate": 2.5384615384615385e-06,
|
1929 |
+
"loss": 0.1551,
|
1930 |
+
"step": 5360
|
1931 |
+
},
|
1932 |
+
{
|
1933 |
+
"epoch": 5.38,
|
1934 |
+
"grad_norm": 6.86100435256958,
|
1935 |
+
"learning_rate": 2.507692307692308e-06,
|
1936 |
+
"loss": 0.164,
|
1937 |
+
"step": 5380
|
1938 |
+
},
|
1939 |
+
{
|
1940 |
+
"epoch": 5.4,
|
1941 |
+
"grad_norm": 6.572709560394287,
|
1942 |
+
"learning_rate": 2.4769230769230773e-06,
|
1943 |
+
"loss": 0.1231,
|
1944 |
+
"step": 5400
|
1945 |
+
},
|
1946 |
+
{
|
1947 |
+
"epoch": 5.42,
|
1948 |
+
"grad_norm": 6.522790431976318,
|
1949 |
+
"learning_rate": 2.4461538461538466e-06,
|
1950 |
+
"loss": 0.1592,
|
1951 |
+
"step": 5420
|
1952 |
+
},
|
1953 |
+
{
|
1954 |
+
"epoch": 5.44,
|
1955 |
+
"grad_norm": 5.718307971954346,
|
1956 |
+
"learning_rate": 2.4153846153846156e-06,
|
1957 |
+
"loss": 0.1233,
|
1958 |
+
"step": 5440
|
1959 |
+
},
|
1960 |
+
{
|
1961 |
+
"epoch": 5.46,
|
1962 |
+
"grad_norm": 5.314148426055908,
|
1963 |
+
"learning_rate": 2.384615384615385e-06,
|
1964 |
+
"loss": 0.1776,
|
1965 |
+
"step": 5460
|
1966 |
+
},
|
1967 |
+
{
|
1968 |
+
"epoch": 5.48,
|
1969 |
+
"grad_norm": 6.437089443206787,
|
1970 |
+
"learning_rate": 2.353846153846154e-06,
|
1971 |
+
"loss": 0.1327,
|
1972 |
+
"step": 5480
|
1973 |
+
},
|
1974 |
+
{
|
1975 |
+
"epoch": 5.5,
|
1976 |
+
"grad_norm": 7.538025856018066,
|
1977 |
+
"learning_rate": 2.3230769230769234e-06,
|
1978 |
+
"loss": 0.1301,
|
1979 |
+
"step": 5500
|
1980 |
+
},
|
1981 |
+
{
|
1982 |
+
"epoch": 5.52,
|
1983 |
+
"grad_norm": 7.919811248779297,
|
1984 |
+
"learning_rate": 2.2923076923076928e-06,
|
1985 |
+
"loss": 0.1419,
|
1986 |
+
"step": 5520
|
1987 |
+
},
|
1988 |
+
{
|
1989 |
+
"epoch": 5.54,
|
1990 |
+
"grad_norm": 9.317774772644043,
|
1991 |
+
"learning_rate": 2.2615384615384617e-06,
|
1992 |
+
"loss": 0.1474,
|
1993 |
+
"step": 5540
|
1994 |
+
},
|
1995 |
+
{
|
1996 |
+
"epoch": 5.56,
|
1997 |
+
"grad_norm": 6.526165008544922,
|
1998 |
+
"learning_rate": 2.230769230769231e-06,
|
1999 |
+
"loss": 0.1734,
|
2000 |
+
"step": 5560
|
2001 |
+
},
|
2002 |
+
{
|
2003 |
+
"epoch": 5.58,
|
2004 |
+
"grad_norm": 3.361795663833618,
|
2005 |
+
"learning_rate": 2.2e-06,
|
2006 |
+
"loss": 0.1139,
|
2007 |
+
"step": 5580
|
2008 |
+
},
|
2009 |
+
{
|
2010 |
+
"epoch": 5.6,
|
2011 |
+
"grad_norm": 7.677871227264404,
|
2012 |
+
"learning_rate": 2.1692307692307695e-06,
|
2013 |
+
"loss": 0.1441,
|
2014 |
+
"step": 5600
|
2015 |
+
},
|
2016 |
+
{
|
2017 |
+
"epoch": 5.62,
|
2018 |
+
"grad_norm": 9.330676078796387,
|
2019 |
+
"learning_rate": 2.138461538461539e-06,
|
2020 |
+
"loss": 0.1494,
|
2021 |
+
"step": 5620
|
2022 |
+
},
|
2023 |
+
{
|
2024 |
+
"epoch": 5.64,
|
2025 |
+
"grad_norm": 7.009490966796875,
|
2026 |
+
"learning_rate": 2.107692307692308e-06,
|
2027 |
+
"loss": 0.1208,
|
2028 |
+
"step": 5640
|
2029 |
+
},
|
2030 |
+
{
|
2031 |
+
"epoch": 5.66,
|
2032 |
+
"grad_norm": 6.069945335388184,
|
2033 |
+
"learning_rate": 2.0769230769230773e-06,
|
2034 |
+
"loss": 0.1392,
|
2035 |
+
"step": 5660
|
2036 |
+
},
|
2037 |
+
{
|
2038 |
+
"epoch": 5.68,
|
2039 |
+
"grad_norm": 8.43829345703125,
|
2040 |
+
"learning_rate": 2.0461538461538462e-06,
|
2041 |
+
"loss": 0.1523,
|
2042 |
+
"step": 5680
|
2043 |
+
},
|
2044 |
+
{
|
2045 |
+
"epoch": 5.7,
|
2046 |
+
"grad_norm": 6.86118745803833,
|
2047 |
+
"learning_rate": 2.0153846153846156e-06,
|
2048 |
+
"loss": 0.1598,
|
2049 |
+
"step": 5700
|
2050 |
+
},
|
2051 |
+
{
|
2052 |
+
"epoch": 5.72,
|
2053 |
+
"grad_norm": 4.472192287445068,
|
2054 |
+
"learning_rate": 1.984615384615385e-06,
|
2055 |
+
"loss": 0.1459,
|
2056 |
+
"step": 5720
|
2057 |
+
},
|
2058 |
+
{
|
2059 |
+
"epoch": 5.74,
|
2060 |
+
"grad_norm": 4.14478874206543,
|
2061 |
+
"learning_rate": 1.953846153846154e-06,
|
2062 |
+
"loss": 0.1509,
|
2063 |
+
"step": 5740
|
2064 |
+
},
|
2065 |
+
{
|
2066 |
+
"epoch": 5.76,
|
2067 |
+
"grad_norm": 8.51664924621582,
|
2068 |
+
"learning_rate": 1.9230769230769234e-06,
|
2069 |
+
"loss": 0.1341,
|
2070 |
+
"step": 5760
|
2071 |
+
},
|
2072 |
+
{
|
2073 |
+
"epoch": 5.78,
|
2074 |
+
"grad_norm": 6.804210662841797,
|
2075 |
+
"learning_rate": 1.8923076923076924e-06,
|
2076 |
+
"loss": 0.1462,
|
2077 |
+
"step": 5780
|
2078 |
+
},
|
2079 |
+
{
|
2080 |
+
"epoch": 5.8,
|
2081 |
+
"grad_norm": 5.099180698394775,
|
2082 |
+
"learning_rate": 1.8615384615384616e-06,
|
2083 |
+
"loss": 0.1217,
|
2084 |
+
"step": 5800
|
2085 |
+
},
|
2086 |
+
{
|
2087 |
+
"epoch": 5.82,
|
2088 |
+
"grad_norm": 8.629157066345215,
|
2089 |
+
"learning_rate": 1.830769230769231e-06,
|
2090 |
+
"loss": 0.1583,
|
2091 |
+
"step": 5820
|
2092 |
+
},
|
2093 |
+
{
|
2094 |
+
"epoch": 5.84,
|
2095 |
+
"grad_norm": 4.583296775817871,
|
2096 |
+
"learning_rate": 1.8000000000000001e-06,
|
2097 |
+
"loss": 0.1271,
|
2098 |
+
"step": 5840
|
2099 |
+
},
|
2100 |
+
{
|
2101 |
+
"epoch": 5.86,
|
2102 |
+
"grad_norm": 3.160738229751587,
|
2103 |
+
"learning_rate": 1.7692307692307695e-06,
|
2104 |
+
"loss": 0.141,
|
2105 |
+
"step": 5860
|
2106 |
+
},
|
2107 |
+
{
|
2108 |
+
"epoch": 5.88,
|
2109 |
+
"grad_norm": 9.473282814025879,
|
2110 |
+
"learning_rate": 1.74e-06,
|
2111 |
+
"loss": 0.1605,
|
2112 |
+
"step": 5880
|
2113 |
+
},
|
2114 |
+
{
|
2115 |
+
"epoch": 5.9,
|
2116 |
+
"grad_norm": 4.42061185836792,
|
2117 |
+
"learning_rate": 1.7092307692307695e-06,
|
2118 |
+
"loss": 0.1038,
|
2119 |
+
"step": 5900
|
2120 |
+
},
|
2121 |
+
{
|
2122 |
+
"epoch": 5.92,
|
2123 |
+
"grad_norm": 2.770753860473633,
|
2124 |
+
"learning_rate": 1.6784615384615384e-06,
|
2125 |
+
"loss": 0.1362,
|
2126 |
+
"step": 5920
|
2127 |
+
},
|
2128 |
+
{
|
2129 |
+
"epoch": 5.94,
|
2130 |
+
"grad_norm": 5.55116605758667,
|
2131 |
+
"learning_rate": 1.6476923076923078e-06,
|
2132 |
+
"loss": 0.1313,
|
2133 |
+
"step": 5940
|
2134 |
+
},
|
2135 |
+
{
|
2136 |
+
"epoch": 5.96,
|
2137 |
+
"grad_norm": 3.3803486824035645,
|
2138 |
+
"learning_rate": 1.616923076923077e-06,
|
2139 |
+
"loss": 0.1424,
|
2140 |
+
"step": 5960
|
2141 |
+
},
|
2142 |
+
{
|
2143 |
+
"epoch": 5.98,
|
2144 |
+
"grad_norm": 7.3435282707214355,
|
2145 |
+
"learning_rate": 1.5861538461538462e-06,
|
2146 |
+
"loss": 0.1209,
|
2147 |
+
"step": 5980
|
2148 |
+
},
|
2149 |
+
{
|
2150 |
+
"epoch": 6.0,
|
2151 |
+
"grad_norm": 7.475185394287109,
|
2152 |
+
"learning_rate": 1.5553846153846156e-06,
|
2153 |
+
"loss": 0.1312,
|
2154 |
+
"step": 6000
|
2155 |
+
},
|
2156 |
+
{
|
2157 |
+
"epoch": 6.0,
|
2158 |
+
"eval_loss": 0.14498481154441833,
|
2159 |
+
"eval_runtime": 339.1376,
|
2160 |
+
"eval_samples_per_second": 0.295,
|
2161 |
+
"eval_steps_per_second": 0.295,
|
2162 |
+
"eval_wer": 44.81641468682505,
|
2163 |
+
"step": 6000
|
2164 |
+
},
|
2165 |
+
{
|
2166 |
+
"epoch": 6.02,
|
2167 |
+
"grad_norm": 4.712522983551025,
|
2168 |
+
"learning_rate": 1.5246153846153846e-06,
|
2169 |
+
"loss": 0.0716,
|
2170 |
+
"step": 6020
|
2171 |
+
},
|
2172 |
+
{
|
2173 |
+
"epoch": 6.04,
|
2174 |
+
"grad_norm": 4.758845329284668,
|
2175 |
+
"learning_rate": 1.493846153846154e-06,
|
2176 |
+
"loss": 0.0829,
|
2177 |
+
"step": 6040
|
2178 |
+
},
|
2179 |
+
{
|
2180 |
+
"epoch": 6.06,
|
2181 |
+
"grad_norm": 5.355556011199951,
|
2182 |
+
"learning_rate": 1.4630769230769231e-06,
|
2183 |
+
"loss": 0.0869,
|
2184 |
+
"step": 6060
|
2185 |
+
},
|
2186 |
+
{
|
2187 |
+
"epoch": 6.08,
|
2188 |
+
"grad_norm": 7.092726230621338,
|
2189 |
+
"learning_rate": 1.4323076923076923e-06,
|
2190 |
+
"loss": 0.087,
|
2191 |
+
"step": 6080
|
2192 |
+
},
|
2193 |
+
{
|
2194 |
+
"epoch": 6.1,
|
2195 |
+
"grad_norm": 3.275243043899536,
|
2196 |
+
"learning_rate": 1.4015384615384617e-06,
|
2197 |
+
"loss": 0.1056,
|
2198 |
+
"step": 6100
|
2199 |
+
},
|
2200 |
+
{
|
2201 |
+
"epoch": 6.12,
|
2202 |
+
"grad_norm": 6.758555889129639,
|
2203 |
+
"learning_rate": 1.3707692307692307e-06,
|
2204 |
+
"loss": 0.0933,
|
2205 |
+
"step": 6120
|
2206 |
+
},
|
2207 |
+
{
|
2208 |
+
"epoch": 6.14,
|
2209 |
+
"grad_norm": 5.598626136779785,
|
2210 |
+
"learning_rate": 1.34e-06,
|
2211 |
+
"loss": 0.0874,
|
2212 |
+
"step": 6140
|
2213 |
+
},
|
2214 |
+
{
|
2215 |
+
"epoch": 6.16,
|
2216 |
+
"grad_norm": 5.3057661056518555,
|
2217 |
+
"learning_rate": 1.3092307692307693e-06,
|
2218 |
+
"loss": 0.0839,
|
2219 |
+
"step": 6160
|
2220 |
+
},
|
2221 |
+
{
|
2222 |
+
"epoch": 6.18,
|
2223 |
+
"grad_norm": 3.48642635345459,
|
2224 |
+
"learning_rate": 1.2784615384615387e-06,
|
2225 |
+
"loss": 0.0821,
|
2226 |
+
"step": 6180
|
2227 |
+
},
|
2228 |
+
{
|
2229 |
+
"epoch": 6.2,
|
2230 |
+
"grad_norm": 4.809030055999756,
|
2231 |
+
"learning_rate": 1.2476923076923078e-06,
|
2232 |
+
"loss": 0.0947,
|
2233 |
+
"step": 6200
|
2234 |
+
},
|
2235 |
+
{
|
2236 |
+
"epoch": 6.22,
|
2237 |
+
"grad_norm": 7.921240329742432,
|
2238 |
+
"learning_rate": 1.216923076923077e-06,
|
2239 |
+
"loss": 0.0844,
|
2240 |
+
"step": 6220
|
2241 |
+
},
|
2242 |
+
{
|
2243 |
+
"epoch": 6.24,
|
2244 |
+
"grad_norm": 4.371191501617432,
|
2245 |
+
"learning_rate": 1.1861538461538462e-06,
|
2246 |
+
"loss": 0.0885,
|
2247 |
+
"step": 6240
|
2248 |
+
},
|
2249 |
+
{
|
2250 |
+
"epoch": 6.26,
|
2251 |
+
"grad_norm": 4.896179676055908,
|
2252 |
+
"learning_rate": 1.1553846153846154e-06,
|
2253 |
+
"loss": 0.0955,
|
2254 |
+
"step": 6260
|
2255 |
+
},
|
2256 |
+
{
|
2257 |
+
"epoch": 6.28,
|
2258 |
+
"grad_norm": 5.356370449066162,
|
2259 |
+
"learning_rate": 1.1246153846153848e-06,
|
2260 |
+
"loss": 0.0846,
|
2261 |
+
"step": 6280
|
2262 |
+
},
|
2263 |
+
{
|
2264 |
+
"epoch": 6.3,
|
2265 |
+
"grad_norm": 5.095907211303711,
|
2266 |
+
"learning_rate": 1.093846153846154e-06,
|
2267 |
+
"loss": 0.0966,
|
2268 |
+
"step": 6300
|
2269 |
+
},
|
2270 |
+
{
|
2271 |
+
"epoch": 6.32,
|
2272 |
+
"grad_norm": 4.25766658782959,
|
2273 |
+
"learning_rate": 1.0630769230769232e-06,
|
2274 |
+
"loss": 0.104,
|
2275 |
+
"step": 6320
|
2276 |
+
},
|
2277 |
+
{
|
2278 |
+
"epoch": 6.34,
|
2279 |
+
"grad_norm": 3.590081214904785,
|
2280 |
+
"learning_rate": 1.0323076923076926e-06,
|
2281 |
+
"loss": 0.0801,
|
2282 |
+
"step": 6340
|
2283 |
+
},
|
2284 |
+
{
|
2285 |
+
"epoch": 6.36,
|
2286 |
+
"grad_norm": 2.9005637168884277,
|
2287 |
+
"learning_rate": 1.0015384615384615e-06,
|
2288 |
+
"loss": 0.0822,
|
2289 |
+
"step": 6360
|
2290 |
+
},
|
2291 |
+
{
|
2292 |
+
"epoch": 6.38,
|
2293 |
+
"grad_norm": 9.862403869628906,
|
2294 |
+
"learning_rate": 9.70769230769231e-07,
|
2295 |
+
"loss": 0.0964,
|
2296 |
+
"step": 6380
|
2297 |
+
},
|
2298 |
+
{
|
2299 |
+
"epoch": 6.4,
|
2300 |
+
"grad_norm": 8.774920463562012,
|
2301 |
+
"learning_rate": 9.400000000000001e-07,
|
2302 |
+
"loss": 0.0942,
|
2303 |
+
"step": 6400
|
2304 |
+
},
|
2305 |
+
{
|
2306 |
+
"epoch": 6.42,
|
2307 |
+
"grad_norm": 4.645102024078369,
|
2308 |
+
"learning_rate": 9.092307692307693e-07,
|
2309 |
+
"loss": 0.0883,
|
2310 |
+
"step": 6420
|
2311 |
+
},
|
2312 |
+
{
|
2313 |
+
"epoch": 6.44,
|
2314 |
+
"grad_norm": 3.844259738922119,
|
2315 |
+
"learning_rate": 8.784615384615386e-07,
|
2316 |
+
"loss": 0.0798,
|
2317 |
+
"step": 6440
|
2318 |
+
},
|
2319 |
+
{
|
2320 |
+
"epoch": 6.46,
|
2321 |
+
"grad_norm": 6.919098854064941,
|
2322 |
+
"learning_rate": 8.476923076923077e-07,
|
2323 |
+
"loss": 0.0838,
|
2324 |
+
"step": 6460
|
2325 |
+
},
|
2326 |
+
{
|
2327 |
+
"epoch": 6.48,
|
2328 |
+
"grad_norm": 2.799652338027954,
|
2329 |
+
"learning_rate": 8.169230769230769e-07,
|
2330 |
+
"loss": 0.0775,
|
2331 |
+
"step": 6480
|
2332 |
+
},
|
2333 |
+
{
|
2334 |
+
"epoch": 6.5,
|
2335 |
+
"grad_norm": 7.093628406524658,
|
2336 |
+
"learning_rate": 7.861538461538462e-07,
|
2337 |
+
"loss": 0.0847,
|
2338 |
+
"step": 6500
|
2339 |
+
},
|
2340 |
+
{
|
2341 |
+
"epoch": 6.52,
|
2342 |
+
"grad_norm": 4.25404167175293,
|
2343 |
+
"learning_rate": 7.553846153846154e-07,
|
2344 |
+
"loss": 0.107,
|
2345 |
+
"step": 6520
|
2346 |
+
},
|
2347 |
+
{
|
2348 |
+
"epoch": 6.54,
|
2349 |
+
"grad_norm": 7.2850165367126465,
|
2350 |
+
"learning_rate": 7.246153846153847e-07,
|
2351 |
+
"loss": 0.0962,
|
2352 |
+
"step": 6540
|
2353 |
+
},
|
2354 |
+
{
|
2355 |
+
"epoch": 6.56,
|
2356 |
+
"grad_norm": 3.8257031440734863,
|
2357 |
+
"learning_rate": 6.938461538461538e-07,
|
2358 |
+
"loss": 0.0947,
|
2359 |
+
"step": 6560
|
2360 |
+
},
|
2361 |
+
{
|
2362 |
+
"epoch": 6.58,
|
2363 |
+
"grad_norm": 5.836840629577637,
|
2364 |
+
"learning_rate": 6.630769230769231e-07,
|
2365 |
+
"loss": 0.0775,
|
2366 |
+
"step": 6580
|
2367 |
+
},
|
2368 |
+
{
|
2369 |
+
"epoch": 6.6,
|
2370 |
+
"grad_norm": 6.940512180328369,
|
2371 |
+
"learning_rate": 6.323076923076924e-07,
|
2372 |
+
"loss": 0.0987,
|
2373 |
+
"step": 6600
|
2374 |
+
},
|
2375 |
+
{
|
2376 |
+
"epoch": 6.62,
|
2377 |
+
"grad_norm": 4.118283748626709,
|
2378 |
+
"learning_rate": 6.015384615384617e-07,
|
2379 |
+
"loss": 0.081,
|
2380 |
+
"step": 6620
|
2381 |
+
},
|
2382 |
+
{
|
2383 |
+
"epoch": 6.64,
|
2384 |
+
"grad_norm": 5.9088592529296875,
|
2385 |
+
"learning_rate": 5.707692307692308e-07,
|
2386 |
+
"loss": 0.0832,
|
2387 |
+
"step": 6640
|
2388 |
+
},
|
2389 |
+
{
|
2390 |
+
"epoch": 6.66,
|
2391 |
+
"grad_norm": 3.8640501499176025,
|
2392 |
+
"learning_rate": 5.4e-07,
|
2393 |
+
"loss": 0.0936,
|
2394 |
+
"step": 6660
|
2395 |
+
},
|
2396 |
+
{
|
2397 |
+
"epoch": 6.68,
|
2398 |
+
"grad_norm": 3.1888349056243896,
|
2399 |
+
"learning_rate": 5.092307692307693e-07,
|
2400 |
+
"loss": 0.0826,
|
2401 |
+
"step": 6680
|
2402 |
+
},
|
2403 |
+
{
|
2404 |
+
"epoch": 6.7,
|
2405 |
+
"grad_norm": 3.1759727001190186,
|
2406 |
+
"learning_rate": 4.784615384615385e-07,
|
2407 |
+
"loss": 0.0757,
|
2408 |
+
"step": 6700
|
2409 |
+
},
|
2410 |
+
{
|
2411 |
+
"epoch": 6.72,
|
2412 |
+
"grad_norm": 2.946356773376465,
|
2413 |
+
"learning_rate": 4.4769230769230773e-07,
|
2414 |
+
"loss": 0.0938,
|
2415 |
+
"step": 6720
|
2416 |
+
},
|
2417 |
+
{
|
2418 |
+
"epoch": 6.74,
|
2419 |
+
"grad_norm": 7.550587177276611,
|
2420 |
+
"learning_rate": 4.1692307692307696e-07,
|
2421 |
+
"loss": 0.1112,
|
2422 |
+
"step": 6740
|
2423 |
+
},
|
2424 |
+
{
|
2425 |
+
"epoch": 6.76,
|
2426 |
+
"grad_norm": 5.95493745803833,
|
2427 |
+
"learning_rate": 3.8615384615384615e-07,
|
2428 |
+
"loss": 0.085,
|
2429 |
+
"step": 6760
|
2430 |
+
},
|
2431 |
+
{
|
2432 |
+
"epoch": 6.78,
|
2433 |
+
"grad_norm": 1.7597618103027344,
|
2434 |
+
"learning_rate": 3.5538461538461544e-07,
|
2435 |
+
"loss": 0.077,
|
2436 |
+
"step": 6780
|
2437 |
+
},
|
2438 |
+
{
|
2439 |
+
"epoch": 6.8,
|
2440 |
+
"grad_norm": 7.7931389808654785,
|
2441 |
+
"learning_rate": 3.246153846153846e-07,
|
2442 |
+
"loss": 0.0819,
|
2443 |
+
"step": 6800
|
2444 |
+
},
|
2445 |
+
{
|
2446 |
+
"epoch": 6.82,
|
2447 |
+
"grad_norm": 6.818342208862305,
|
2448 |
+
"learning_rate": 2.9384615384615385e-07,
|
2449 |
+
"loss": 0.0882,
|
2450 |
+
"step": 6820
|
2451 |
+
},
|
2452 |
+
{
|
2453 |
+
"epoch": 6.84,
|
2454 |
+
"grad_norm": 5.526803970336914,
|
2455 |
+
"learning_rate": 2.630769230769231e-07,
|
2456 |
+
"loss": 0.0821,
|
2457 |
+
"step": 6840
|
2458 |
+
},
|
2459 |
+
{
|
2460 |
+
"epoch": 6.86,
|
2461 |
+
"grad_norm": 3.9428200721740723,
|
2462 |
+
"learning_rate": 2.3230769230769233e-07,
|
2463 |
+
"loss": 0.0783,
|
2464 |
+
"step": 6860
|
2465 |
+
},
|
2466 |
+
{
|
2467 |
+
"epoch": 6.88,
|
2468 |
+
"grad_norm": 4.500335693359375,
|
2469 |
+
"learning_rate": 2.0153846153846156e-07,
|
2470 |
+
"loss": 0.0841,
|
2471 |
+
"step": 6880
|
2472 |
+
},
|
2473 |
+
{
|
2474 |
+
"epoch": 6.9,
|
2475 |
+
"grad_norm": 5.660948753356934,
|
2476 |
+
"learning_rate": 1.7076923076923077e-07,
|
2477 |
+
"loss": 0.0915,
|
2478 |
+
"step": 6900
|
2479 |
+
},
|
2480 |
+
{
|
2481 |
+
"epoch": 6.92,
|
2482 |
+
"grad_norm": 4.8588762283325195,
|
2483 |
+
"learning_rate": 1.4e-07,
|
2484 |
+
"loss": 0.0901,
|
2485 |
+
"step": 6920
|
2486 |
+
},
|
2487 |
+
{
|
2488 |
+
"epoch": 6.94,
|
2489 |
+
"grad_norm": 7.766236782073975,
|
2490 |
+
"learning_rate": 1.0923076923076923e-07,
|
2491 |
+
"loss": 0.099,
|
2492 |
+
"step": 6940
|
2493 |
+
},
|
2494 |
+
{
|
2495 |
+
"epoch": 6.96,
|
2496 |
+
"grad_norm": 6.230258941650391,
|
2497 |
+
"learning_rate": 7.846153846153847e-08,
|
2498 |
+
"loss": 0.1018,
|
2499 |
+
"step": 6960
|
2500 |
+
},
|
2501 |
+
{
|
2502 |
+
"epoch": 6.98,
|
2503 |
+
"grad_norm": 10.005239486694336,
|
2504 |
+
"learning_rate": 4.76923076923077e-08,
|
2505 |
+
"loss": 0.0922,
|
2506 |
+
"step": 6980
|
2507 |
+
},
|
2508 |
+
{
|
2509 |
+
"epoch": 7.0,
|
2510 |
+
"grad_norm": 2.510556936264038,
|
2511 |
+
"learning_rate": 1.6923076923076925e-08,
|
2512 |
+
"loss": 0.0687,
|
2513 |
+
"step": 7000
|
2514 |
+
},
|
2515 |
+
{
|
2516 |
+
"epoch": 7.0,
|
2517 |
+
"eval_loss": 0.14743401110172272,
|
2518 |
+
"eval_runtime": 304.8616,
|
2519 |
+
"eval_samples_per_second": 0.328,
|
2520 |
+
"eval_steps_per_second": 0.328,
|
2521 |
+
"eval_wer": 44.9244060475162,
|
2522 |
+
"step": 7000
|
2523 |
+
}
|
2524 |
+
],
|
2525 |
+
"logging_steps": 20,
|
2526 |
+
"max_steps": 7000,
|
2527 |
+
"num_input_tokens_seen": 0,
|
2528 |
+
"num_train_epochs": 7,
|
2529 |
+
"save_steps": 1000,
|
2530 |
+
"total_flos": 6.05971623591936e+18,
|
2531 |
+
"train_batch_size": 3,
|
2532 |
+
"trial_name": null,
|
2533 |
+
"trial_params": null
|
2534 |
+
}
|
checkpoint-7000/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6a70bac6e53ecc076875524d55f571ee3af225fbe33298216e31da3f647fc789
|
3 |
+
size 5048
|
config.json
CHANGED
@@ -45,7 +45,7 @@
|
|
45 |
"scale_embedding": false,
|
46 |
"suppress_tokens": [],
|
47 |
"torch_dtype": "float32",
|
48 |
-
"transformers_version": "4.
|
49 |
"use_cache": true,
|
50 |
"use_weighted_layer_sum": false,
|
51 |
"vocab_size": 51865
|
|
|
45 |
"scale_embedding": false,
|
46 |
"suppress_tokens": [],
|
47 |
"torch_dtype": "float32",
|
48 |
+
"transformers_version": "4.40.0.dev0",
|
49 |
"use_cache": true,
|
50 |
"use_weighted_layer_sum": false,
|
51 |
"vocab_size": 51865
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 966995080
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9ef4d5723ce5410e4668c709f2175307c070b5aa9f68408c8877b568cd207c48
|
3 |
size 966995080
|
runs/Mar21_08-10-47_bcaddc5bb6ab/events.out.tfevents.1711008715.bcaddc5bb6ab.2709.0
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:cc7a0fdc25cc995aa9dd1178b2951543144660d3d9de6c216a446315a983d958
|
3 |
+
size 27526
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 5048
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6a70bac6e53ecc076875524d55f571ee3af225fbe33298216e31da3f647fc789
|
3 |
size 5048
|