beast33 commited on
Commit
ec926a5
·
verified ·
1 Parent(s): ec720fe

Training in progress, step 300, checkpoint

Browse files
last-checkpoint/adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:4dd4070c1c3f1759eb4efaa7597f27eea4332c94700ab610c58697b8bebaa518
3
  size 871457448
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:74d95e904810cf572cc46df051ec65472943d330cfd8b8f0d804c961cde1d6dc
3
  size 871457448
last-checkpoint/optimizer.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ce8bc8d26b3211bb6cee2916cdd1d69a976e8f2eff055ee278f91415e473c76c
3
- size 443280340
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9ea36db74e20c390362f275ec759cf89e06e896f8e2ac3d6d7f6bb3d3dae667e
3
+ size 443280980
last-checkpoint/rng_state.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:f0a00be81c830e4d66fd4fed06641be2e8de81c2ad82d1d98da45cdc8fbee4e6
3
  size 14244
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4b5eb3ad221a27e3517974ae6952a1ec92a81f69e06ff93f7811bb312fe72bc3
3
  size 14244
last-checkpoint/scheduler.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:7d5e1448282b30a66cf7be83aef18a251fdb6205c0184b42e99ae724602144bf
3
  size 1064
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:43da0688aca60835f4e18fa7e0f3cc099504828f82fd5dd994118be26b760a0f
3
  size 1064
last-checkpoint/trainer_state.json CHANGED
@@ -1,9 +1,9 @@
1
  {
2
- "best_metric": 0.2933620810508728,
3
- "best_model_checkpoint": "miner_id_24/checkpoint-250",
4
- "epoch": 0.20529665366454528,
5
  "eval_steps": 50,
6
- "global_step": 250,
7
  "is_hyper_param_search": false,
8
  "is_local_process_zero": true,
9
  "is_world_process_zero": true,
@@ -1805,6 +1805,364 @@
1805
  "eval_samples_per_second": 7.046,
1806
  "eval_steps_per_second": 1.762,
1807
  "step": 250
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1808
  }
1809
  ],
1810
  "logging_steps": 1,
@@ -1833,7 +2191,7 @@
1833
  "attributes": {}
1834
  }
1835
  },
1836
- "total_flos": 4.3439630870328115e+17,
1837
  "train_batch_size": 8,
1838
  "trial_name": null,
1839
  "trial_params": null
 
1
  {
2
+ "best_metric": 0.26980382204055786,
3
+ "best_model_checkpoint": "miner_id_24/checkpoint-300",
4
+ "epoch": 0.24635598439745432,
5
  "eval_steps": 50,
6
+ "global_step": 300,
7
  "is_hyper_param_search": false,
8
  "is_local_process_zero": true,
9
  "is_world_process_zero": true,
 
1805
  "eval_samples_per_second": 7.046,
1806
  "eval_steps_per_second": 1.762,
1807
  "step": 250
1808
+ },
1809
+ {
1810
+ "epoch": 0.20611784027920346,
1811
+ "grad_norm": 0.702744722366333,
1812
+ "learning_rate": 3.189374007355917e-05,
1813
+ "loss": 0.2989,
1814
+ "step": 251
1815
+ },
1816
+ {
1817
+ "epoch": 0.20693902689386162,
1818
+ "grad_norm": 0.7356978058815002,
1819
+ "learning_rate": 3.151889938850445e-05,
1820
+ "loss": 0.2862,
1821
+ "step": 252
1822
+ },
1823
+ {
1824
+ "epoch": 0.2077602135085198,
1825
+ "grad_norm": 0.8224905133247375,
1826
+ "learning_rate": 3.114525791558398e-05,
1827
+ "loss": 0.3193,
1828
+ "step": 253
1829
+ },
1830
+ {
1831
+ "epoch": 0.208581400123178,
1832
+ "grad_norm": 0.9090282917022705,
1833
+ "learning_rate": 3.0772839899857464e-05,
1834
+ "loss": 0.2938,
1835
+ "step": 254
1836
+ },
1837
+ {
1838
+ "epoch": 0.20940258673783618,
1839
+ "grad_norm": 0.8460712432861328,
1840
+ "learning_rate": 3.0401669506996256e-05,
1841
+ "loss": 0.2923,
1842
+ "step": 255
1843
+ },
1844
+ {
1845
+ "epoch": 0.21022377335249434,
1846
+ "grad_norm": 0.8029319643974304,
1847
+ "learning_rate": 3.003177082171523e-05,
1848
+ "loss": 0.2789,
1849
+ "step": 256
1850
+ },
1851
+ {
1852
+ "epoch": 0.21104495996715253,
1853
+ "grad_norm": 0.7324627041816711,
1854
+ "learning_rate": 2.9663167846209998e-05,
1855
+ "loss": 0.2719,
1856
+ "step": 257
1857
+ },
1858
+ {
1859
+ "epoch": 0.21186614658181072,
1860
+ "grad_norm": 0.5806877017021179,
1861
+ "learning_rate": 2.9295884498599414e-05,
1862
+ "loss": 0.2901,
1863
+ "step": 258
1864
+ },
1865
+ {
1866
+ "epoch": 0.2126873331964689,
1867
+ "grad_norm": 0.3797169029712677,
1868
+ "learning_rate": 2.8929944611373554e-05,
1869
+ "loss": 0.2232,
1870
+ "step": 259
1871
+ },
1872
+ {
1873
+ "epoch": 0.2135085198111271,
1874
+ "grad_norm": 0.28451111912727356,
1875
+ "learning_rate": 2.8565371929847284e-05,
1876
+ "loss": 0.2239,
1877
+ "step": 260
1878
+ },
1879
+ {
1880
+ "epoch": 0.21432970642578525,
1881
+ "grad_norm": 0.2512100636959076,
1882
+ "learning_rate": 2.8202190110619493e-05,
1883
+ "loss": 0.2492,
1884
+ "step": 261
1885
+ },
1886
+ {
1887
+ "epoch": 0.21515089304044344,
1888
+ "grad_norm": 0.24946503341197968,
1889
+ "learning_rate": 2.784042272003794e-05,
1890
+ "loss": 0.2228,
1891
+ "step": 262
1892
+ },
1893
+ {
1894
+ "epoch": 0.21597207965510162,
1895
+ "grad_norm": 0.26216790080070496,
1896
+ "learning_rate": 2.7480093232670158e-05,
1897
+ "loss": 0.2501,
1898
+ "step": 263
1899
+ },
1900
+ {
1901
+ "epoch": 0.2167932662697598,
1902
+ "grad_norm": 0.2938695549964905,
1903
+ "learning_rate": 2.712122502978024e-05,
1904
+ "loss": 0.2504,
1905
+ "step": 264
1906
+ },
1907
+ {
1908
+ "epoch": 0.217614452884418,
1909
+ "grad_norm": 0.2901502847671509,
1910
+ "learning_rate": 2.6763841397811573e-05,
1911
+ "loss": 0.226,
1912
+ "step": 265
1913
+ },
1914
+ {
1915
+ "epoch": 0.21843563949907616,
1916
+ "grad_norm": 0.3004022538661957,
1917
+ "learning_rate": 2.64079655268759e-05,
1918
+ "loss": 0.2446,
1919
+ "step": 266
1920
+ },
1921
+ {
1922
+ "epoch": 0.21925682611373434,
1923
+ "grad_norm": 0.31173473596572876,
1924
+ "learning_rate": 2.605362050924848e-05,
1925
+ "loss": 0.2347,
1926
+ "step": 267
1927
+ },
1928
+ {
1929
+ "epoch": 0.22007801272839253,
1930
+ "grad_norm": 0.31835272908210754,
1931
+ "learning_rate": 2.57008293378697e-05,
1932
+ "loss": 0.2462,
1933
+ "step": 268
1934
+ },
1935
+ {
1936
+ "epoch": 0.22089919934305072,
1937
+ "grad_norm": 0.3530433475971222,
1938
+ "learning_rate": 2.534961490485313e-05,
1939
+ "loss": 0.2561,
1940
+ "step": 269
1941
+ },
1942
+ {
1943
+ "epoch": 0.22172038595770888,
1944
+ "grad_norm": 0.31918856501579285,
1945
+ "learning_rate": 2.500000000000001e-05,
1946
+ "loss": 0.2428,
1947
+ "step": 270
1948
+ },
1949
+ {
1950
+ "epoch": 0.22254157257236706,
1951
+ "grad_norm": 0.3554997444152832,
1952
+ "learning_rate": 2.4652007309320498e-05,
1953
+ "loss": 0.2632,
1954
+ "step": 271
1955
+ },
1956
+ {
1957
+ "epoch": 0.22336275918702525,
1958
+ "grad_norm": 0.3261239230632782,
1959
+ "learning_rate": 2.430565941356157e-05,
1960
+ "loss": 0.2075,
1961
+ "step": 272
1962
+ },
1963
+ {
1964
+ "epoch": 0.22418394580168344,
1965
+ "grad_norm": 0.36336517333984375,
1966
+ "learning_rate": 2.3960978786741877e-05,
1967
+ "loss": 0.2612,
1968
+ "step": 273
1969
+ },
1970
+ {
1971
+ "epoch": 0.22500513241634162,
1972
+ "grad_norm": 0.38886624574661255,
1973
+ "learning_rate": 2.361798779469336e-05,
1974
+ "loss": 0.2701,
1975
+ "step": 274
1976
+ },
1977
+ {
1978
+ "epoch": 0.22582631903099978,
1979
+ "grad_norm": 0.3287777900695801,
1980
+ "learning_rate": 2.3276708693609943e-05,
1981
+ "loss": 0.237,
1982
+ "step": 275
1983
+ },
1984
+ {
1985
+ "epoch": 0.22664750564565797,
1986
+ "grad_norm": 0.3637790381908417,
1987
+ "learning_rate": 2.2937163628603435e-05,
1988
+ "loss": 0.2608,
1989
+ "step": 276
1990
+ },
1991
+ {
1992
+ "epoch": 0.22746869226031616,
1993
+ "grad_norm": 0.37705734372138977,
1994
+ "learning_rate": 2.259937463226651e-05,
1995
+ "loss": 0.2654,
1996
+ "step": 277
1997
+ },
1998
+ {
1999
+ "epoch": 0.22828987887497434,
2000
+ "grad_norm": 0.3406853675842285,
2001
+ "learning_rate": 2.2263363623243054e-05,
2002
+ "loss": 0.2395,
2003
+ "step": 278
2004
+ },
2005
+ {
2006
+ "epoch": 0.22911106548963253,
2007
+ "grad_norm": 0.3554440438747406,
2008
+ "learning_rate": 2.192915240480596e-05,
2009
+ "loss": 0.2174,
2010
+ "step": 279
2011
+ },
2012
+ {
2013
+ "epoch": 0.2299322521042907,
2014
+ "grad_norm": 0.40587833523750305,
2015
+ "learning_rate": 2.1596762663442218e-05,
2016
+ "loss": 0.2378,
2017
+ "step": 280
2018
+ },
2019
+ {
2020
+ "epoch": 0.23075343871894888,
2021
+ "grad_norm": 0.3761412501335144,
2022
+ "learning_rate": 2.1266215967445824e-05,
2023
+ "loss": 0.2294,
2024
+ "step": 281
2025
+ },
2026
+ {
2027
+ "epoch": 0.23157462533360706,
2028
+ "grad_norm": 0.4104063808917999,
2029
+ "learning_rate": 2.0937533765518187e-05,
2030
+ "loss": 0.2378,
2031
+ "step": 282
2032
+ },
2033
+ {
2034
+ "epoch": 0.23239581194826525,
2035
+ "grad_norm": 0.41846057772636414,
2036
+ "learning_rate": 2.061073738537635e-05,
2037
+ "loss": 0.2895,
2038
+ "step": 283
2039
+ },
2040
+ {
2041
+ "epoch": 0.2332169985629234,
2042
+ "grad_norm": 0.3801814019680023,
2043
+ "learning_rate": 2.0285848032369137e-05,
2044
+ "loss": 0.2124,
2045
+ "step": 284
2046
+ },
2047
+ {
2048
+ "epoch": 0.2340381851775816,
2049
+ "grad_norm": 0.37622514367103577,
2050
+ "learning_rate": 1.996288678810105e-05,
2051
+ "loss": 0.2238,
2052
+ "step": 285
2053
+ },
2054
+ {
2055
+ "epoch": 0.23485937179223978,
2056
+ "grad_norm": 0.41953378915786743,
2057
+ "learning_rate": 1.9641874609064443e-05,
2058
+ "loss": 0.2421,
2059
+ "step": 286
2060
+ },
2061
+ {
2062
+ "epoch": 0.23568055840689797,
2063
+ "grad_norm": 0.4523312747478485,
2064
+ "learning_rate": 1.932283232527956e-05,
2065
+ "loss": 0.2796,
2066
+ "step": 287
2067
+ },
2068
+ {
2069
+ "epoch": 0.23650174502155616,
2070
+ "grad_norm": 0.40526655316352844,
2071
+ "learning_rate": 1.9005780638942982e-05,
2072
+ "loss": 0.2674,
2073
+ "step": 288
2074
+ },
2075
+ {
2076
+ "epoch": 0.23732293163621432,
2077
+ "grad_norm": 0.4408579170703888,
2078
+ "learning_rate": 1.8690740123084316e-05,
2079
+ "loss": 0.2404,
2080
+ "step": 289
2081
+ },
2082
+ {
2083
+ "epoch": 0.2381441182508725,
2084
+ "grad_norm": 0.44801774621009827,
2085
+ "learning_rate": 1.837773122023114e-05,
2086
+ "loss": 0.2451,
2087
+ "step": 290
2088
+ },
2089
+ {
2090
+ "epoch": 0.2389653048655307,
2091
+ "grad_norm": 0.5268024802207947,
2092
+ "learning_rate": 1.8066774241082612e-05,
2093
+ "loss": 0.2969,
2094
+ "step": 291
2095
+ },
2096
+ {
2097
+ "epoch": 0.23978649148018888,
2098
+ "grad_norm": 0.4801257252693176,
2099
+ "learning_rate": 1.7757889363191483e-05,
2100
+ "loss": 0.2497,
2101
+ "step": 292
2102
+ },
2103
+ {
2104
+ "epoch": 0.24060767809484707,
2105
+ "grad_norm": 0.4917178750038147,
2106
+ "learning_rate": 1.745109662965481e-05,
2107
+ "loss": 0.2554,
2108
+ "step": 293
2109
+ },
2110
+ {
2111
+ "epoch": 0.24142886470950523,
2112
+ "grad_norm": 0.5635613799095154,
2113
+ "learning_rate": 1.714641594781347e-05,
2114
+ "loss": 0.2485,
2115
+ "step": 294
2116
+ },
2117
+ {
2118
+ "epoch": 0.2422500513241634,
2119
+ "grad_norm": 0.5717937350273132,
2120
+ "learning_rate": 1.684386708796025e-05,
2121
+ "loss": 0.2788,
2122
+ "step": 295
2123
+ },
2124
+ {
2125
+ "epoch": 0.2430712379388216,
2126
+ "grad_norm": 0.6237139105796814,
2127
+ "learning_rate": 1.6543469682057106e-05,
2128
+ "loss": 0.2782,
2129
+ "step": 296
2130
+ },
2131
+ {
2132
+ "epoch": 0.2438924245534798,
2133
+ "grad_norm": 0.5460456609725952,
2134
+ "learning_rate": 1.62452432224612e-05,
2135
+ "loss": 0.2279,
2136
+ "step": 297
2137
+ },
2138
+ {
2139
+ "epoch": 0.24471361116813795,
2140
+ "grad_norm": 0.6361614465713501,
2141
+ "learning_rate": 1.5949207060660138e-05,
2142
+ "loss": 0.2781,
2143
+ "step": 298
2144
+ },
2145
+ {
2146
+ "epoch": 0.24553479778279613,
2147
+ "grad_norm": 0.7341341376304626,
2148
+ "learning_rate": 1.5655380406016235e-05,
2149
+ "loss": 0.2449,
2150
+ "step": 299
2151
+ },
2152
+ {
2153
+ "epoch": 0.24635598439745432,
2154
+ "grad_norm": 0.8992396593093872,
2155
+ "learning_rate": 1.536378232452003e-05,
2156
+ "loss": 0.3146,
2157
+ "step": 300
2158
+ },
2159
+ {
2160
+ "epoch": 0.24635598439745432,
2161
+ "eval_loss": 0.26980382204055786,
2162
+ "eval_runtime": 290.3497,
2163
+ "eval_samples_per_second": 7.064,
2164
+ "eval_steps_per_second": 1.767,
2165
+ "step": 300
2166
  }
2167
  ],
2168
  "logging_steps": 1,
 
2191
  "attributes": {}
2192
  }
2193
  },
2194
+ "total_flos": 5.2118920934876774e+17,
2195
  "train_batch_size": 8,
2196
  "trial_name": null,
2197
  "trial_params": null