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add_sub_sorl_v1_abs10_K1_25K_1L3H510d/metrics.json
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| 1660 |
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},
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"sub_B5": {
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-
"full_accuracy": 0.
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| 1664 |
-
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"per_subtask": {
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"MD": {
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| 1667 |
"accuracy": 1.0,
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-
"count":
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| 1669 |
},
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"MB": {
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"accuracy": 1.0,
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"count":
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},
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"UB": {
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-
"accuracy": 0.
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"count":
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"UD": {
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"accuracy": 0.
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"count":
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}
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}
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},
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"summary": {
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"overall_accuracy": 0.
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},
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"sorl_eval": {
|
|
@@ -1694,502 +1759,567 @@
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"K": 1,
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"mode": "sorl",
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"n_digits": 6,
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-
"n_per_split":
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"splits": {
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"add_S0": {
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-
"full_accuracy": 0.
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"per_subtask": {
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"SA": {
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"SS": {
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"accuracy": 1.0,
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"add_S1": {
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"full_accuracy": 0.9,
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-
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"per_subtask": {
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"SA": {
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"accuracy": 0.
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"count":
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"SC": {
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"accuracy": 0.
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"SS": {
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"accuracy": 1.0,
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"count":
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"UC": {
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"accuracy": 0.
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}
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"add_S2": {
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"full_accuracy": 0.
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"per_subtask": {
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"SA": {
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"accuracy": 0.
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"count":
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"SC": {
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"accuracy": 0.
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"SS": {
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"accuracy": 0.
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"UC": {
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"accuracy": 0.
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"US": {
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"add_S3": {
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"full_accuracy": 0.
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"per_subtask": {
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"SA": {
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"SC": {
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"SS": {
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"accuracy": 0.
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"UC": {
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"count":
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"US": {
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"accuracy": 0.
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"count":
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}
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}
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"add_S4": {
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"full_accuracy": 0.
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-
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"per_subtask": {
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"SA": {
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"accuracy": 1.0,
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"count":
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},
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"SC": {
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"SS": {
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"accuracy": 1.0,
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"UC": {
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"accuracy": 0.
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"count":
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"US": {
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"accuracy": 0.
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"count":
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}
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}
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"add_S5": {
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"full_accuracy": 0.
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"per_subtask": {
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"SA": {
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"accuracy": 1.0,
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"count":
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"SC": {
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"accuracy": 1.0,
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"UC": {
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"accuracy": 0.
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"US": {
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"accuracy": 0.
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}
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"add_S6": {
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"full_accuracy": 0.
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"per_subtask": {
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"SC": {
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"accuracy": 1.0,
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"count":
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| 1843 |
},
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"UC": {
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-
"accuracy": 0.
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"count":
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"US": {
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"accuracy": 0.
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}
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},
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"add_random": {
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"full_accuracy": 0.
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"n_examples": 200,
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"per_subtask": {
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"SA": {
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-
"accuracy": 0.
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"count":
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"SC": {
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"accuracy": 0.
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"count":
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"SS": {
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"accuracy": 0.
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"UC": {
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"accuracy": 0.
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"US": {
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"accuracy": 1.0,
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"count":
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| 1877 |
}
|
| 1878 |
}
|
| 1879 |
},
|
| 1880 |
"add_C3": {
|
| 1881 |
-
"full_accuracy": 0.
|
| 1882 |
-
"
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|
| 1883 |
"per_subtask": {
|
| 1884 |
"SA": {
|
| 1885 |
"accuracy": 1.0,
|
| 1886 |
-
"count":
|
| 1887 |
},
|
| 1888 |
"SC": {
|
| 1889 |
"accuracy": 1.0,
|
| 1890 |
-
"count":
|
| 1891 |
},
|
| 1892 |
"UC": {
|
| 1893 |
-
"accuracy": 0.
|
| 1894 |
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"count":
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| 1895 |
},
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"US": {
|
| 1897 |
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"accuracy": 0.
|
| 1898 |
-
"count":
|
| 1899 |
}
|
| 1900 |
}
|
| 1901 |
},
|
| 1902 |
"add_C4": {
|
| 1903 |
-
"full_accuracy": 0.
|
| 1904 |
-
"
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|
| 1905 |
"per_subtask": {
|
| 1906 |
"SA": {
|
| 1907 |
"accuracy": 1.0,
|
| 1908 |
-
"count":
|
| 1909 |
},
|
| 1910 |
"SC": {
|
| 1911 |
"accuracy": 1.0,
|
| 1912 |
-
"count":
|
| 1913 |
},
|
| 1914 |
"UC": {
|
| 1915 |
-
"accuracy": 0.
|
| 1916 |
-
"count":
|
| 1917 |
},
|
| 1918 |
"US": {
|
| 1919 |
-
"accuracy": 0.
|
| 1920 |
-
"count":
|
| 1921 |
}
|
| 1922 |
}
|
| 1923 |
},
|
| 1924 |
"add_C5": {
|
| 1925 |
-
"full_accuracy": 0.
|
| 1926 |
-
"
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|
| 1927 |
"per_subtask": {
|
| 1928 |
"SA": {
|
| 1929 |
"accuracy": 1.0,
|
| 1930 |
-
"count":
|
| 1931 |
},
|
| 1932 |
"SC": {
|
| 1933 |
"accuracy": 1.0,
|
| 1934 |
-
"count":
|
| 1935 |
},
|
| 1936 |
"UC": {
|
| 1937 |
-
"accuracy": 0.
|
| 1938 |
-
"count":
|
| 1939 |
},
|
| 1940 |
"US": {
|
| 1941 |
-
"accuracy": 0.
|
| 1942 |
-
"count":
|
| 1943 |
}
|
| 1944 |
}
|
| 1945 |
},
|
| 1946 |
"add_C6": {
|
| 1947 |
-
"full_accuracy": 0.
|
| 1948 |
-
"
|
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|
| 1949 |
"per_subtask": {
|
| 1950 |
"SC": {
|
| 1951 |
"accuracy": 1.0,
|
| 1952 |
-
"count":
|
| 1953 |
},
|
| 1954 |
"UC": {
|
| 1955 |
-
"accuracy": 0.
|
| 1956 |
-
"count":
|
| 1957 |
},
|
| 1958 |
"US": {
|
| 1959 |
-
"accuracy": 0.
|
| 1960 |
-
"count":
|
| 1961 |
}
|
| 1962 |
}
|
| 1963 |
},
|
| 1964 |
"sub_M0": {
|
| 1965 |
-
"full_accuracy": 0.
|
| 1966 |
-
"
|
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|
| 1967 |
"per_subtask": {
|
| 1968 |
"MD": {
|
| 1969 |
-
"accuracy": 0.
|
| 1970 |
-
"count":
|
| 1971 |
},
|
| 1972 |
"ME": {
|
| 1973 |
-
"accuracy": 0.
|
| 1974 |
-
"count":
|
| 1975 |
}
|
| 1976 |
}
|
| 1977 |
},
|
| 1978 |
"sub_M1": {
|
| 1979 |
"full_accuracy": 0.82,
|
| 1980 |
-
"
|
|
|
|
| 1981 |
"per_subtask": {
|
| 1982 |
"MD": {
|
| 1983 |
-
"accuracy": 0.
|
| 1984 |
-
"count":
|
| 1985 |
},
|
| 1986 |
"MB": {
|
| 1987 |
-
"accuracy": 0.
|
| 1988 |
-
"count":
|
| 1989 |
},
|
| 1990 |
"ME": {
|
| 1991 |
-
"accuracy": 0.
|
| 1992 |
-
"count":
|
| 1993 |
},
|
| 1994 |
"UB": {
|
| 1995 |
-
"accuracy": 0.
|
| 1996 |
-
"count":
|
| 1997 |
}
|
| 1998 |
}
|
| 1999 |
},
|
| 2000 |
"sub_M2": {
|
| 2001 |
-
"full_accuracy": 0.
|
| 2002 |
-
"
|
|
|
|
| 2003 |
"per_subtask": {
|
| 2004 |
"MD": {
|
| 2005 |
-
"accuracy": 0.
|
| 2006 |
-
"count":
|
| 2007 |
},
|
| 2008 |
"MB": {
|
| 2009 |
-
"accuracy": 0.
|
| 2010 |
-
"count":
|
| 2011 |
},
|
| 2012 |
"ME": {
|
| 2013 |
-
"accuracy": 0.
|
| 2014 |
-
"count":
|
| 2015 |
},
|
| 2016 |
"UB": {
|
| 2017 |
-
"accuracy": 0.
|
| 2018 |
-
"count":
|
| 2019 |
},
|
| 2020 |
"UD": {
|
| 2021 |
-
"accuracy": 0.
|
| 2022 |
-
"count":
|
| 2023 |
}
|
| 2024 |
}
|
| 2025 |
},
|
| 2026 |
"sub_M3": {
|
| 2027 |
"full_accuracy": 0.22,
|
| 2028 |
-
"
|
|
|
|
| 2029 |
"per_subtask": {
|
| 2030 |
"MD": {
|
| 2031 |
-
"accuracy": 0.
|
| 2032 |
-
"count":
|
| 2033 |
},
|
| 2034 |
"MB": {
|
| 2035 |
-
"accuracy": 0.
|
| 2036 |
-
"count":
|
| 2037 |
},
|
| 2038 |
"ME": {
|
| 2039 |
-
"accuracy":
|
| 2040 |
-
"count":
|
| 2041 |
},
|
| 2042 |
"UB": {
|
| 2043 |
-
"accuracy": 0.
|
| 2044 |
-
"count":
|
| 2045 |
},
|
| 2046 |
"UD": {
|
| 2047 |
-
"accuracy": 0.
|
| 2048 |
-
"count":
|
| 2049 |
}
|
| 2050 |
}
|
| 2051 |
},
|
| 2052 |
"sub_M4": {
|
| 2053 |
-
"full_accuracy": 0.
|
| 2054 |
-
"
|
|
|
|
| 2055 |
"per_subtask": {
|
| 2056 |
"MD": {
|
| 2057 |
-
"accuracy":
|
| 2058 |
-
"count":
|
| 2059 |
},
|
| 2060 |
"MB": {
|
| 2061 |
"accuracy": 1.0,
|
| 2062 |
-
"count":
|
| 2063 |
},
|
| 2064 |
"UB": {
|
| 2065 |
-
"accuracy": 0.
|
| 2066 |
-
"count":
|
| 2067 |
},
|
| 2068 |
"UD": {
|
| 2069 |
-
"accuracy": 0.
|
| 2070 |
-
"count":
|
| 2071 |
}
|
| 2072 |
}
|
| 2073 |
},
|
| 2074 |
"sub_M5": {
|
| 2075 |
-
"full_accuracy": 0.
|
| 2076 |
-
"
|
|
|
|
| 2077 |
"per_subtask": {
|
| 2078 |
"MD": {
|
| 2079 |
"accuracy": 1.0,
|
| 2080 |
-
"count":
|
| 2081 |
},
|
| 2082 |
"MB": {
|
| 2083 |
"accuracy": 1.0,
|
| 2084 |
-
"count":
|
| 2085 |
},
|
| 2086 |
"UB": {
|
| 2087 |
-
"accuracy": 0.
|
| 2088 |
-
"count":
|
| 2089 |
},
|
| 2090 |
"UD": {
|
| 2091 |
-
"accuracy": 0.
|
| 2092 |
-
"count":
|
| 2093 |
}
|
| 2094 |
}
|
| 2095 |
},
|
| 2096 |
"sub_random": {
|
| 2097 |
-
"full_accuracy": 0.
|
|
|
|
| 2098 |
"n_examples": 200,
|
| 2099 |
"per_subtask": {
|
| 2100 |
"MD": {
|
| 2101 |
-
"accuracy": 0.
|
| 2102 |
-
"count":
|
| 2103 |
},
|
| 2104 |
"MB": {
|
| 2105 |
-
"accuracy": 0.
|
| 2106 |
-
"count":
|
| 2107 |
},
|
| 2108 |
"ME": {
|
| 2109 |
"accuracy": 1.0,
|
| 2110 |
"count": 53
|
| 2111 |
},
|
| 2112 |
"UB": {
|
| 2113 |
-
"accuracy": 0.
|
| 2114 |
-
"count":
|
| 2115 |
},
|
| 2116 |
"UD": {
|
| 2117 |
-
"accuracy": 0.
|
| 2118 |
-
"count":
|
| 2119 |
}
|
| 2120 |
}
|
| 2121 |
},
|
| 2122 |
"sub_B3": {
|
| 2123 |
-
"full_accuracy": 0.
|
| 2124 |
-
"
|
|
|
|
| 2125 |
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|
| 2126 |
"MD": {
|
| 2127 |
-
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|
| 2128 |
-
"count":
|
| 2129 |
},
|
| 2130 |
"MB": {
|
| 2131 |
-
"accuracy":
|
| 2132 |
-
"count":
|
| 2133 |
},
|
| 2134 |
"UB": {
|
| 2135 |
-
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|
| 2136 |
-
"count":
|
| 2137 |
},
|
| 2138 |
"UD": {
|
| 2139 |
-
"accuracy": 0.
|
| 2140 |
-
"count":
|
| 2141 |
}
|
| 2142 |
}
|
| 2143 |
},
|
| 2144 |
"sub_B4": {
|
| 2145 |
-
"full_accuracy": 0.
|
| 2146 |
-
"
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