Training in progress, step 3500, checkpoint
Browse files- last-checkpoint/optimizer.pt +1 -1
- last-checkpoint/pytorch_model.bin +1 -1
- last-checkpoint/rng_state_0.pth +1 -1
- last-checkpoint/rng_state_1.pth +1 -1
- last-checkpoint/rng_state_2.pth +1 -1
- last-checkpoint/rng_state_3.pth +1 -1
- last-checkpoint/scheduler.pt +1 -1
- last-checkpoint/trainer_state.json +353 -3
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 448472762
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:24d910ed994581c6f8ea6c3e52c2bd01eea52f2eabde8dd6e0704d202c1d60ef
|
| 3 |
size 448472762
|
last-checkpoint/pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 151589028
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:37e29a2ee04e66d7aea70e004882b65125d5ba077c73c4403518a2a60505c8d5
|
| 3 |
size 151589028
|
last-checkpoint/rng_state_0.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14960
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:40599dcf66d195bd468cd608918590eb1aebaacc685d576254e5a8407b72bcaf
|
| 3 |
size 14960
|
last-checkpoint/rng_state_1.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14960
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f37c31af6d04569a7beeed96f0a16a7f301f7bd85bb5ae4d2109c3c0aceb44f2
|
| 3 |
size 14960
|
last-checkpoint/rng_state_2.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14960
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:482b2a39fd2aedd38d5ea68619507991e6d883e66aa3db23423855a04855b803
|
| 3 |
size 14960
|
last-checkpoint/rng_state_3.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14960
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d0c2cea090d6d49edddc7a1414205b00e8be5cf0638feefa5bd893ffe74fda01
|
| 3 |
size 14960
|
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:e137401e542831b1939ede4bb41d0e73ea53be0648cbbc1ab5857d463b977f62
|
| 3 |
size 1064
|
last-checkpoint/trainer_state.json
CHANGED
|
@@ -2,9 +2,9 @@
|
|
| 2 |
"best_global_step": null,
|
| 3 |
"best_metric": null,
|
| 4 |
"best_model_checkpoint": null,
|
| 5 |
-
"epoch": 0.
|
| 6 |
"eval_steps": 500,
|
| 7 |
-
"global_step":
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
|
@@ -2108,6 +2108,356 @@
|
|
| 2108 |
"learning_rate": 0.0004991215588235708,
|
| 2109 |
"loss": 2.716,
|
| 2110 |
"step": 3000
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2111 |
}
|
| 2112 |
],
|
| 2113 |
"logging_steps": 10,
|
|
@@ -2127,7 +2477,7 @@
|
|
| 2127 |
"attributes": {}
|
| 2128 |
}
|
| 2129 |
},
|
| 2130 |
-
"total_flos":
|
| 2131 |
"train_batch_size": 48,
|
| 2132 |
"trial_name": null,
|
| 2133 |
"trial_params": null
|
|
|
|
| 2 |
"best_global_step": null,
|
| 3 |
"best_metric": null,
|
| 4 |
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.007379256908829281,
|
| 6 |
"eval_steps": 500,
|
| 7 |
+
"global_step": 3500,
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
|
|
|
| 2108 |
"learning_rate": 0.0004991215588235708,
|
| 2109 |
"loss": 2.716,
|
| 2110 |
"step": 3000
|
| 2111 |
+
},
|
| 2112 |
+
{
|
| 2113 |
+
"epoch": 0.006346160941593182,
|
| 2114 |
+
"grad_norm": 0.765625,
|
| 2115 |
+
"learning_rate": 0.0004991180436527968,
|
| 2116 |
+
"loss": 2.7439,
|
| 2117 |
+
"step": 3010
|
| 2118 |
+
},
|
| 2119 |
+
{
|
| 2120 |
+
"epoch": 0.006367244532761265,
|
| 2121 |
+
"grad_norm": 0.703125,
|
| 2122 |
+
"learning_rate": 0.0004991145284820227,
|
| 2123 |
+
"loss": 2.7267,
|
| 2124 |
+
"step": 3020
|
| 2125 |
+
},
|
| 2126 |
+
{
|
| 2127 |
+
"epoch": 0.006388328123929349,
|
| 2128 |
+
"grad_norm": 0.69921875,
|
| 2129 |
+
"learning_rate": 0.0004991110133112487,
|
| 2130 |
+
"loss": 2.7129,
|
| 2131 |
+
"step": 3030
|
| 2132 |
+
},
|
| 2133 |
+
{
|
| 2134 |
+
"epoch": 0.006409411715097433,
|
| 2135 |
+
"grad_norm": 0.7578125,
|
| 2136 |
+
"learning_rate": 0.0004991074981404747,
|
| 2137 |
+
"loss": 2.7252,
|
| 2138 |
+
"step": 3040
|
| 2139 |
+
},
|
| 2140 |
+
{
|
| 2141 |
+
"epoch": 0.006430495306265516,
|
| 2142 |
+
"grad_norm": 0.75390625,
|
| 2143 |
+
"learning_rate": 0.0004991039829697006,
|
| 2144 |
+
"loss": 2.7236,
|
| 2145 |
+
"step": 3050
|
| 2146 |
+
},
|
| 2147 |
+
{
|
| 2148 |
+
"epoch": 0.0064515788974336,
|
| 2149 |
+
"grad_norm": 0.73828125,
|
| 2150 |
+
"learning_rate": 0.0004991004677989266,
|
| 2151 |
+
"loss": 2.7489,
|
| 2152 |
+
"step": 3060
|
| 2153 |
+
},
|
| 2154 |
+
{
|
| 2155 |
+
"epoch": 0.006472662488601683,
|
| 2156 |
+
"grad_norm": 0.81640625,
|
| 2157 |
+
"learning_rate": 0.0004990969526281526,
|
| 2158 |
+
"loss": 2.7133,
|
| 2159 |
+
"step": 3070
|
| 2160 |
+
},
|
| 2161 |
+
{
|
| 2162 |
+
"epoch": 0.006493746079769767,
|
| 2163 |
+
"grad_norm": 1.0390625,
|
| 2164 |
+
"learning_rate": 0.0004990934374573785,
|
| 2165 |
+
"loss": 2.729,
|
| 2166 |
+
"step": 3080
|
| 2167 |
+
},
|
| 2168 |
+
{
|
| 2169 |
+
"epoch": 0.006514829670937851,
|
| 2170 |
+
"grad_norm": 0.69921875,
|
| 2171 |
+
"learning_rate": 0.0004990899222866046,
|
| 2172 |
+
"loss": 2.7134,
|
| 2173 |
+
"step": 3090
|
| 2174 |
+
},
|
| 2175 |
+
{
|
| 2176 |
+
"epoch": 0.006535913262105934,
|
| 2177 |
+
"grad_norm": 0.72265625,
|
| 2178 |
+
"learning_rate": 0.0004990864071158306,
|
| 2179 |
+
"loss": 2.7033,
|
| 2180 |
+
"step": 3100
|
| 2181 |
+
},
|
| 2182 |
+
{
|
| 2183 |
+
"epoch": 0.006556996853274018,
|
| 2184 |
+
"grad_norm": 0.71484375,
|
| 2185 |
+
"learning_rate": 0.0004990828919450564,
|
| 2186 |
+
"loss": 2.7242,
|
| 2187 |
+
"step": 3110
|
| 2188 |
+
},
|
| 2189 |
+
{
|
| 2190 |
+
"epoch": 0.006578080444442102,
|
| 2191 |
+
"grad_norm": 0.73828125,
|
| 2192 |
+
"learning_rate": 0.0004990793767742825,
|
| 2193 |
+
"loss": 2.7018,
|
| 2194 |
+
"step": 3120
|
| 2195 |
+
},
|
| 2196 |
+
{
|
| 2197 |
+
"epoch": 0.006599164035610185,
|
| 2198 |
+
"grad_norm": 0.79296875,
|
| 2199 |
+
"learning_rate": 0.0004990758616035085,
|
| 2200 |
+
"loss": 2.7018,
|
| 2201 |
+
"step": 3130
|
| 2202 |
+
},
|
| 2203 |
+
{
|
| 2204 |
+
"epoch": 0.006620247626778269,
|
| 2205 |
+
"grad_norm": 0.7421875,
|
| 2206 |
+
"learning_rate": 0.0004990723464327344,
|
| 2207 |
+
"loss": 2.7101,
|
| 2208 |
+
"step": 3140
|
| 2209 |
+
},
|
| 2210 |
+
{
|
| 2211 |
+
"epoch": 0.006641331217946353,
|
| 2212 |
+
"grad_norm": 0.671875,
|
| 2213 |
+
"learning_rate": 0.0004990688312619604,
|
| 2214 |
+
"loss": 2.7059,
|
| 2215 |
+
"step": 3150
|
| 2216 |
+
},
|
| 2217 |
+
{
|
| 2218 |
+
"epoch": 0.006662414809114436,
|
| 2219 |
+
"grad_norm": 0.76953125,
|
| 2220 |
+
"learning_rate": 0.0004990653160911864,
|
| 2221 |
+
"loss": 2.7004,
|
| 2222 |
+
"step": 3160
|
| 2223 |
+
},
|
| 2224 |
+
{
|
| 2225 |
+
"epoch": 0.00668349840028252,
|
| 2226 |
+
"grad_norm": 0.8125,
|
| 2227 |
+
"learning_rate": 0.0004990618009204123,
|
| 2228 |
+
"loss": 2.6897,
|
| 2229 |
+
"step": 3170
|
| 2230 |
+
},
|
| 2231 |
+
{
|
| 2232 |
+
"epoch": 0.006704581991450604,
|
| 2233 |
+
"grad_norm": 0.8828125,
|
| 2234 |
+
"learning_rate": 0.0004990582857496383,
|
| 2235 |
+
"loss": 2.6965,
|
| 2236 |
+
"step": 3180
|
| 2237 |
+
},
|
| 2238 |
+
{
|
| 2239 |
+
"epoch": 0.006725665582618687,
|
| 2240 |
+
"grad_norm": 0.69140625,
|
| 2241 |
+
"learning_rate": 0.0004990547705788642,
|
| 2242 |
+
"loss": 2.699,
|
| 2243 |
+
"step": 3190
|
| 2244 |
+
},
|
| 2245 |
+
{
|
| 2246 |
+
"epoch": 0.006746749173786771,
|
| 2247 |
+
"grad_norm": 0.73828125,
|
| 2248 |
+
"learning_rate": 0.0004990512554080902,
|
| 2249 |
+
"loss": 2.6956,
|
| 2250 |
+
"step": 3200
|
| 2251 |
+
},
|
| 2252 |
+
{
|
| 2253 |
+
"epoch": 0.006767832764954854,
|
| 2254 |
+
"grad_norm": 0.7578125,
|
| 2255 |
+
"learning_rate": 0.0004990477402373162,
|
| 2256 |
+
"loss": 2.693,
|
| 2257 |
+
"step": 3210
|
| 2258 |
+
},
|
| 2259 |
+
{
|
| 2260 |
+
"epoch": 0.006788916356122938,
|
| 2261 |
+
"grad_norm": 0.69921875,
|
| 2262 |
+
"learning_rate": 0.0004990442250665421,
|
| 2263 |
+
"loss": 2.6899,
|
| 2264 |
+
"step": 3220
|
| 2265 |
+
},
|
| 2266 |
+
{
|
| 2267 |
+
"epoch": 0.006809999947291022,
|
| 2268 |
+
"grad_norm": 0.8046875,
|
| 2269 |
+
"learning_rate": 0.0004990407098957681,
|
| 2270 |
+
"loss": 2.6946,
|
| 2271 |
+
"step": 3230
|
| 2272 |
+
},
|
| 2273 |
+
{
|
| 2274 |
+
"epoch": 0.006831083538459105,
|
| 2275 |
+
"grad_norm": 0.828125,
|
| 2276 |
+
"learning_rate": 0.0004990371947249942,
|
| 2277 |
+
"loss": 2.6904,
|
| 2278 |
+
"step": 3240
|
| 2279 |
+
},
|
| 2280 |
+
{
|
| 2281 |
+
"epoch": 0.006852167129627189,
|
| 2282 |
+
"grad_norm": 0.72265625,
|
| 2283 |
+
"learning_rate": 0.0004990336795542202,
|
| 2284 |
+
"loss": 2.6968,
|
| 2285 |
+
"step": 3250
|
| 2286 |
+
},
|
| 2287 |
+
{
|
| 2288 |
+
"epoch": 0.006873250720795273,
|
| 2289 |
+
"grad_norm": 0.72265625,
|
| 2290 |
+
"learning_rate": 0.000499030164383446,
|
| 2291 |
+
"loss": 2.6748,
|
| 2292 |
+
"step": 3260
|
| 2293 |
+
},
|
| 2294 |
+
{
|
| 2295 |
+
"epoch": 0.006894334311963356,
|
| 2296 |
+
"grad_norm": 1.0078125,
|
| 2297 |
+
"learning_rate": 0.0004990266492126721,
|
| 2298 |
+
"loss": 2.6752,
|
| 2299 |
+
"step": 3270
|
| 2300 |
+
},
|
| 2301 |
+
{
|
| 2302 |
+
"epoch": 0.00691541790313144,
|
| 2303 |
+
"grad_norm": 0.79296875,
|
| 2304 |
+
"learning_rate": 0.000499023134041898,
|
| 2305 |
+
"loss": 2.6882,
|
| 2306 |
+
"step": 3280
|
| 2307 |
+
},
|
| 2308 |
+
{
|
| 2309 |
+
"epoch": 0.006936501494299524,
|
| 2310 |
+
"grad_norm": 0.7421875,
|
| 2311 |
+
"learning_rate": 0.000499019618871124,
|
| 2312 |
+
"loss": 2.6847,
|
| 2313 |
+
"step": 3290
|
| 2314 |
+
},
|
| 2315 |
+
{
|
| 2316 |
+
"epoch": 0.0069575850854676075,
|
| 2317 |
+
"grad_norm": 0.66015625,
|
| 2318 |
+
"learning_rate": 0.00049901610370035,
|
| 2319 |
+
"loss": 2.6776,
|
| 2320 |
+
"step": 3300
|
| 2321 |
+
},
|
| 2322 |
+
{
|
| 2323 |
+
"epoch": 0.006978668676635691,
|
| 2324 |
+
"grad_norm": 0.703125,
|
| 2325 |
+
"learning_rate": 0.0004990125885295759,
|
| 2326 |
+
"loss": 2.6876,
|
| 2327 |
+
"step": 3310
|
| 2328 |
+
},
|
| 2329 |
+
{
|
| 2330 |
+
"epoch": 0.006999752267803775,
|
| 2331 |
+
"grad_norm": 0.7578125,
|
| 2332 |
+
"learning_rate": 0.0004990090733588019,
|
| 2333 |
+
"loss": 2.6798,
|
| 2334 |
+
"step": 3320
|
| 2335 |
+
},
|
| 2336 |
+
{
|
| 2337 |
+
"epoch": 0.0070208358589718585,
|
| 2338 |
+
"grad_norm": 0.71875,
|
| 2339 |
+
"learning_rate": 0.0004990055581880279,
|
| 2340 |
+
"loss": 2.6768,
|
| 2341 |
+
"step": 3330
|
| 2342 |
+
},
|
| 2343 |
+
{
|
| 2344 |
+
"epoch": 0.0070419194501399425,
|
| 2345 |
+
"grad_norm": 0.7109375,
|
| 2346 |
+
"learning_rate": 0.0004990020430172538,
|
| 2347 |
+
"loss": 2.6804,
|
| 2348 |
+
"step": 3340
|
| 2349 |
+
},
|
| 2350 |
+
{
|
| 2351 |
+
"epoch": 0.0070630030413080256,
|
| 2352 |
+
"grad_norm": 0.73828125,
|
| 2353 |
+
"learning_rate": 0.0004989985278464799,
|
| 2354 |
+
"loss": 2.6843,
|
| 2355 |
+
"step": 3350
|
| 2356 |
+
},
|
| 2357 |
+
{
|
| 2358 |
+
"epoch": 0.0070840866324761095,
|
| 2359 |
+
"grad_norm": 0.72265625,
|
| 2360 |
+
"learning_rate": 0.0004989950126757058,
|
| 2361 |
+
"loss": 2.6767,
|
| 2362 |
+
"step": 3360
|
| 2363 |
+
},
|
| 2364 |
+
{
|
| 2365 |
+
"epoch": 0.0071051702236441935,
|
| 2366 |
+
"grad_norm": 0.63671875,
|
| 2367 |
+
"learning_rate": 0.0004989914975049317,
|
| 2368 |
+
"loss": 2.6691,
|
| 2369 |
+
"step": 3370
|
| 2370 |
+
},
|
| 2371 |
+
{
|
| 2372 |
+
"epoch": 0.007126253814812277,
|
| 2373 |
+
"grad_norm": 0.7109375,
|
| 2374 |
+
"learning_rate": 0.0004989879823341578,
|
| 2375 |
+
"loss": 2.6738,
|
| 2376 |
+
"step": 3380
|
| 2377 |
+
},
|
| 2378 |
+
{
|
| 2379 |
+
"epoch": 0.007147337405980361,
|
| 2380 |
+
"grad_norm": 0.68359375,
|
| 2381 |
+
"learning_rate": 0.0004989844671633838,
|
| 2382 |
+
"loss": 2.6834,
|
| 2383 |
+
"step": 3390
|
| 2384 |
+
},
|
| 2385 |
+
{
|
| 2386 |
+
"epoch": 0.0071684209971484445,
|
| 2387 |
+
"grad_norm": 0.76171875,
|
| 2388 |
+
"learning_rate": 0.0004989809519926097,
|
| 2389 |
+
"loss": 2.6865,
|
| 2390 |
+
"step": 3400
|
| 2391 |
+
},
|
| 2392 |
+
{
|
| 2393 |
+
"epoch": 0.007189504588316528,
|
| 2394 |
+
"grad_norm": 0.734375,
|
| 2395 |
+
"learning_rate": 0.0004989774368218357,
|
| 2396 |
+
"loss": 2.6792,
|
| 2397 |
+
"step": 3410
|
| 2398 |
+
},
|
| 2399 |
+
{
|
| 2400 |
+
"epoch": 0.007210588179484612,
|
| 2401 |
+
"grad_norm": 0.8046875,
|
| 2402 |
+
"learning_rate": 0.0004989739216510617,
|
| 2403 |
+
"loss": 2.6694,
|
| 2404 |
+
"step": 3420
|
| 2405 |
+
},
|
| 2406 |
+
{
|
| 2407 |
+
"epoch": 0.007231671770652696,
|
| 2408 |
+
"grad_norm": 0.671875,
|
| 2409 |
+
"learning_rate": 0.0004989704064802876,
|
| 2410 |
+
"loss": 2.675,
|
| 2411 |
+
"step": 3430
|
| 2412 |
+
},
|
| 2413 |
+
{
|
| 2414 |
+
"epoch": 0.007252755361820779,
|
| 2415 |
+
"grad_norm": 0.69921875,
|
| 2416 |
+
"learning_rate": 0.0004989668913095136,
|
| 2417 |
+
"loss": 2.6746,
|
| 2418 |
+
"step": 3440
|
| 2419 |
+
},
|
| 2420 |
+
{
|
| 2421 |
+
"epoch": 0.007273838952988863,
|
| 2422 |
+
"grad_norm": 0.7578125,
|
| 2423 |
+
"learning_rate": 0.0004989633761387396,
|
| 2424 |
+
"loss": 2.6632,
|
| 2425 |
+
"step": 3450
|
| 2426 |
+
},
|
| 2427 |
+
{
|
| 2428 |
+
"epoch": 0.007294922544156947,
|
| 2429 |
+
"grad_norm": 0.6875,
|
| 2430 |
+
"learning_rate": 0.0004989598609679655,
|
| 2431 |
+
"loss": 2.664,
|
| 2432 |
+
"step": 3460
|
| 2433 |
+
},
|
| 2434 |
+
{
|
| 2435 |
+
"epoch": 0.00731600613532503,
|
| 2436 |
+
"grad_norm": 0.73828125,
|
| 2437 |
+
"learning_rate": 0.0004989563457971915,
|
| 2438 |
+
"loss": 2.6797,
|
| 2439 |
+
"step": 3470
|
| 2440 |
+
},
|
| 2441 |
+
{
|
| 2442 |
+
"epoch": 0.007337089726493114,
|
| 2443 |
+
"grad_norm": 0.70703125,
|
| 2444 |
+
"learning_rate": 0.0004989528306264175,
|
| 2445 |
+
"loss": 2.6545,
|
| 2446 |
+
"step": 3480
|
| 2447 |
+
},
|
| 2448 |
+
{
|
| 2449 |
+
"epoch": 0.007358173317661198,
|
| 2450 |
+
"grad_norm": 0.80859375,
|
| 2451 |
+
"learning_rate": 0.0004989493154556434,
|
| 2452 |
+
"loss": 2.6551,
|
| 2453 |
+
"step": 3490
|
| 2454 |
+
},
|
| 2455 |
+
{
|
| 2456 |
+
"epoch": 0.007379256908829281,
|
| 2457 |
+
"grad_norm": 0.6953125,
|
| 2458 |
+
"learning_rate": 0.0004989458002848695,
|
| 2459 |
+
"loss": 2.6639,
|
| 2460 |
+
"step": 3500
|
| 2461 |
}
|
| 2462 |
],
|
| 2463 |
"logging_steps": 10,
|
|
|
|
| 2477 |
"attributes": {}
|
| 2478 |
}
|
| 2479 |
},
|
| 2480 |
+
"total_flos": 1.1444837229894042e+18,
|
| 2481 |
"train_batch_size": 48,
|
| 2482 |
"trial_name": null,
|
| 2483 |
"trial_params": null
|