Training in progress, step 280, checkpoint
Browse files
last-checkpoint/adapter_model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 250422888
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2ec4daa34e1b935faa5430b839c1b1376234e001622e8070291431ae3b9045a6
|
3 |
size 250422888
|
last-checkpoint/optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 127788756
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d2cf3d564b798f114de21e7824ed904bb2253270fddc61cb4be5dbab804c0dbe
|
3 |
size 127788756
|
last-checkpoint/rng_state.pth
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 14244
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:95c4ab9d7cc61365afe9c1520630b1d6dab7e2688ccbe4b330d8eeb62edffd3d
|
3 |
size 14244
|
last-checkpoint/scheduler.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 1064
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fa1e27bc8c4f6272ee858bf97369b9e68f7265e3e9a72207bbd5098643e86719
|
3 |
size 1064
|
last-checkpoint/trainer_state.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
-
"epoch": 0.
|
5 |
"eval_steps": 20,
|
6 |
-
"global_step":
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
@@ -1939,6 +1939,154 @@
|
|
1939 |
"eval_samples_per_second": 4.194,
|
1940 |
"eval_steps_per_second": 4.194,
|
1941 |
"step": 260
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1942 |
}
|
1943 |
],
|
1944 |
"logging_steps": 1,
|
@@ -1958,7 +2106,7 @@
|
|
1958 |
"attributes": {}
|
1959 |
}
|
1960 |
},
|
1961 |
-
"total_flos": 4.
|
1962 |
"train_batch_size": 1,
|
1963 |
"trial_name": null,
|
1964 |
"trial_params": null
|
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.06444374118933226,
|
5 |
"eval_steps": 20,
|
6 |
+
"global_step": 280,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
|
|
1939 |
"eval_samples_per_second": 4.194,
|
1940 |
"eval_steps_per_second": 4.194,
|
1941 |
"step": 260
|
1942 |
+
},
|
1943 |
+
{
|
1944 |
+
"epoch": 0.060070773037199,
|
1945 |
+
"grad_norm": 5.089763164520264,
|
1946 |
+
"learning_rate": 1.3189384779019535e-05,
|
1947 |
+
"loss": 2.9909,
|
1948 |
+
"step": 261
|
1949 |
+
},
|
1950 |
+
{
|
1951 |
+
"epoch": 0.06030092925573233,
|
1952 |
+
"grad_norm": 4.29011869430542,
|
1953 |
+
"learning_rate": 1.25311378409661e-05,
|
1954 |
+
"loss": 1.7705,
|
1955 |
+
"step": 262
|
1956 |
+
},
|
1957 |
+
{
|
1958 |
+
"epoch": 0.06053108547426566,
|
1959 |
+
"grad_norm": 3.4714138507843018,
|
1960 |
+
"learning_rate": 1.1889023483392879e-05,
|
1961 |
+
"loss": 1.7503,
|
1962 |
+
"step": 263
|
1963 |
+
},
|
1964 |
+
{
|
1965 |
+
"epoch": 0.060761241692798985,
|
1966 |
+
"grad_norm": 4.181496620178223,
|
1967 |
+
"learning_rate": 1.1263117061266675e-05,
|
1968 |
+
"loss": 0.8877,
|
1969 |
+
"step": 264
|
1970 |
+
},
|
1971 |
+
{
|
1972 |
+
"epoch": 0.06099139791133232,
|
1973 |
+
"grad_norm": 2.1141738891601562,
|
1974 |
+
"learning_rate": 1.0653492027481286e-05,
|
1975 |
+
"loss": 1.2273,
|
1976 |
+
"step": 265
|
1977 |
+
},
|
1978 |
+
{
|
1979 |
+
"epoch": 0.061221554129865643,
|
1980 |
+
"grad_norm": 6.813518047332764,
|
1981 |
+
"learning_rate": 1.0060219924237379e-05,
|
1982 |
+
"loss": 2.4627,
|
1983 |
+
"step": 266
|
1984 |
+
},
|
1985 |
+
{
|
1986 |
+
"epoch": 0.061451710348398976,
|
1987 |
+
"grad_norm": 3.919358730316162,
|
1988 |
+
"learning_rate": 9.48337037464666e-06,
|
1989 |
+
"loss": 1.6218,
|
1990 |
+
"step": 267
|
1991 |
+
},
|
1992 |
+
{
|
1993 |
+
"epoch": 0.06168186656693231,
|
1994 |
+
"grad_norm": 5.324815273284912,
|
1995 |
+
"learning_rate": 8.923011074561404e-06,
|
1996 |
+
"loss": 2.7972,
|
1997 |
+
"step": 268
|
1998 |
+
},
|
1999 |
+
{
|
2000 |
+
"epoch": 0.061912022785465634,
|
2001 |
+
"grad_norm": 5.306177616119385,
|
2002 |
+
"learning_rate": 8.379207784630004e-06,
|
2003 |
+
"loss": 2.748,
|
2004 |
+
"step": 269
|
2005 |
+
},
|
2006 |
+
{
|
2007 |
+
"epoch": 0.06214217900399897,
|
2008 |
+
"grad_norm": 5.779840469360352,
|
2009 |
+
"learning_rate": 7.852024322579648e-06,
|
2010 |
+
"loss": 2.8093,
|
2011 |
+
"step": 270
|
2012 |
+
},
|
2013 |
+
{
|
2014 |
+
"epoch": 0.06237233522253229,
|
2015 |
+
"grad_norm": 4.838181495666504,
|
2016 |
+
"learning_rate": 7.34152255572697e-06,
|
2017 |
+
"loss": 3.2099,
|
2018 |
+
"step": 271
|
2019 |
+
},
|
2020 |
+
{
|
2021 |
+
"epoch": 0.06260249144106562,
|
2022 |
+
"grad_norm": 2.9259281158447266,
|
2023 |
+
"learning_rate": 6.847762393717782e-06,
|
2024 |
+
"loss": 0.6693,
|
2025 |
+
"step": 272
|
2026 |
+
},
|
2027 |
+
{
|
2028 |
+
"epoch": 0.06283264765959895,
|
2029 |
+
"grad_norm": 4.114650726318359,
|
2030 |
+
"learning_rate": 6.370801781496326e-06,
|
2031 |
+
"loss": 3.2477,
|
2032 |
+
"step": 273
|
2033 |
+
},
|
2034 |
+
{
|
2035 |
+
"epoch": 0.06306280387813228,
|
2036 |
+
"grad_norm": 4.7701592445373535,
|
2037 |
+
"learning_rate": 5.910696692505201e-06,
|
2038 |
+
"loss": 1.5787,
|
2039 |
+
"step": 274
|
2040 |
+
},
|
2041 |
+
{
|
2042 |
+
"epoch": 0.06329296009666562,
|
2043 |
+
"grad_norm": 4.48903226852417,
|
2044 |
+
"learning_rate": 5.467501122116563e-06,
|
2045 |
+
"loss": 1.4006,
|
2046 |
+
"step": 275
|
2047 |
+
},
|
2048 |
+
{
|
2049 |
+
"epoch": 0.06352311631519894,
|
2050 |
+
"grad_norm": 3.0731749534606934,
|
2051 |
+
"learning_rate": 5.0412670812956465e-06,
|
2052 |
+
"loss": 0.4172,
|
2053 |
+
"step": 276
|
2054 |
+
},
|
2055 |
+
{
|
2056 |
+
"epoch": 0.06375327253373227,
|
2057 |
+
"grad_norm": 6.239867210388184,
|
2058 |
+
"learning_rate": 4.6320445904969475e-06,
|
2059 |
+
"loss": 2.111,
|
2060 |
+
"step": 277
|
2061 |
+
},
|
2062 |
+
{
|
2063 |
+
"epoch": 0.0639834287522656,
|
2064 |
+
"grad_norm": 4.272534370422363,
|
2065 |
+
"learning_rate": 4.239881673794165e-06,
|
2066 |
+
"loss": 1.026,
|
2067 |
+
"step": 278
|
2068 |
+
},
|
2069 |
+
{
|
2070 |
+
"epoch": 0.06421358497079893,
|
2071 |
+
"grad_norm": 4.327932834625244,
|
2072 |
+
"learning_rate": 3.864824353244367e-06,
|
2073 |
+
"loss": 1.7713,
|
2074 |
+
"step": 279
|
2075 |
+
},
|
2076 |
+
{
|
2077 |
+
"epoch": 0.06444374118933226,
|
2078 |
+
"grad_norm": 7.858902454376221,
|
2079 |
+
"learning_rate": 3.506916643487001e-06,
|
2080 |
+
"loss": 3.015,
|
2081 |
+
"step": 280
|
2082 |
+
},
|
2083 |
+
{
|
2084 |
+
"epoch": 0.06444374118933226,
|
2085 |
+
"eval_loss": 0.3807111978530884,
|
2086 |
+
"eval_runtime": 83.9232,
|
2087 |
+
"eval_samples_per_second": 4.194,
|
2088 |
+
"eval_steps_per_second": 4.194,
|
2089 |
+
"step": 280
|
2090 |
}
|
2091 |
],
|
2092 |
"logging_steps": 1,
|
|
|
2106 |
"attributes": {}
|
2107 |
}
|
2108 |
},
|
2109 |
+
"total_flos": 4.44348097363968e+16,
|
2110 |
"train_batch_size": 1,
|
2111 |
"trial_name": null,
|
2112 |
"trial_params": null
|