Training in progress, step 30000, checkpoint
Browse files
last-checkpoint/model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 529337896
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7a06d3e4983c41dc765c1eeb6d6658168972c5471a58499281b23d7c94887016
|
| 3 |
size 529337896
|
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 871247243
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4de60ec340a338ae4512a57938b518f19425ddce90de24fb45b35add85e7ffcf
|
| 3 |
size 871247243
|
last-checkpoint/rng_state.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14645
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8a55af3df2d414ccfff007ed59f001ee92e87d61217a24dace06b2b7ddba80fa
|
| 3 |
size 14645
|
last-checkpoint/scheduler.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1465
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4ab5189814d428569ba62b550ae72cffeac88caf85e39082cf01ca7e7f9f982e
|
| 3 |
size 1465
|
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": 1000,
|
| 7 |
-
"global_step":
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
|
@@ -2220,6 +2220,164 @@
|
|
| 2220 |
"eval_samples_per_second": 73.281,
|
| 2221 |
"eval_steps_per_second": 0.586,
|
| 2222 |
"step": 28000
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2223 |
}
|
| 2224 |
],
|
| 2225 |
"logging_steps": 100,
|
|
|
|
| 2 |
"best_global_step": null,
|
| 3 |
"best_metric": null,
|
| 4 |
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.6,
|
| 6 |
"eval_steps": 1000,
|
| 7 |
+
"global_step": 30000,
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
|
|
|
| 2220 |
"eval_samples_per_second": 73.281,
|
| 2221 |
"eval_steps_per_second": 0.586,
|
| 2222 |
"step": 28000
|
| 2223 |
+
},
|
| 2224 |
+
{
|
| 2225 |
+
"epoch": 0.562,
|
| 2226 |
+
"grad_norm": 0.15159651637077332,
|
| 2227 |
+
"learning_rate": 0.00087801395378568,
|
| 2228 |
+
"loss": 3.3107,
|
| 2229 |
+
"step": 28100
|
| 2230 |
+
},
|
| 2231 |
+
{
|
| 2232 |
+
"epoch": 0.564,
|
| 2233 |
+
"grad_norm": 0.16269639134407043,
|
| 2234 |
+
"learning_rate": 0.0008714521840775893,
|
| 2235 |
+
"loss": 3.3182,
|
| 2236 |
+
"step": 28200
|
| 2237 |
+
},
|
| 2238 |
+
{
|
| 2239 |
+
"epoch": 0.566,
|
| 2240 |
+
"grad_norm": 0.16659656167030334,
|
| 2241 |
+
"learning_rate": 0.0008648960374674042,
|
| 2242 |
+
"loss": 3.3197,
|
| 2243 |
+
"step": 28300
|
| 2244 |
+
},
|
| 2245 |
+
{
|
| 2246 |
+
"epoch": 0.568,
|
| 2247 |
+
"grad_norm": 0.1418466717004776,
|
| 2248 |
+
"learning_rate": 0.0008583458007422165,
|
| 2249 |
+
"loss": 3.3122,
|
| 2250 |
+
"step": 28400
|
| 2251 |
+
},
|
| 2252 |
+
{
|
| 2253 |
+
"epoch": 0.57,
|
| 2254 |
+
"grad_norm": 0.14337651431560516,
|
| 2255 |
+
"learning_rate": 0.0008518017604306002,
|
| 2256 |
+
"loss": 3.3163,
|
| 2257 |
+
"step": 28500
|
| 2258 |
+
},
|
| 2259 |
+
{
|
| 2260 |
+
"epoch": 0.572,
|
| 2261 |
+
"grad_norm": 0.16096735000610352,
|
| 2262 |
+
"learning_rate": 0.0008452642027900783,
|
| 2263 |
+
"loss": 3.3061,
|
| 2264 |
+
"step": 28600
|
| 2265 |
+
},
|
| 2266 |
+
{
|
| 2267 |
+
"epoch": 0.574,
|
| 2268 |
+
"grad_norm": 0.18552157282829285,
|
| 2269 |
+
"learning_rate": 0.0008387334137946008,
|
| 2270 |
+
"loss": 3.318,
|
| 2271 |
+
"step": 28700
|
| 2272 |
+
},
|
| 2273 |
+
{
|
| 2274 |
+
"epoch": 0.576,
|
| 2275 |
+
"grad_norm": 0.16036978363990784,
|
| 2276 |
+
"learning_rate": 0.0008322096791220355,
|
| 2277 |
+
"loss": 3.3109,
|
| 2278 |
+
"step": 28800
|
| 2279 |
+
},
|
| 2280 |
+
{
|
| 2281 |
+
"epoch": 0.578,
|
| 2282 |
+
"grad_norm": 0.16824260354042053,
|
| 2283 |
+
"learning_rate": 0.0008256932841416705,
|
| 2284 |
+
"loss": 3.3074,
|
| 2285 |
+
"step": 28900
|
| 2286 |
+
},
|
| 2287 |
+
{
|
| 2288 |
+
"epoch": 0.58,
|
| 2289 |
+
"grad_norm": 0.16867192089557648,
|
| 2290 |
+
"learning_rate": 0.0008191845139017326,
|
| 2291 |
+
"loss": 3.3225,
|
| 2292 |
+
"step": 29000
|
| 2293 |
+
},
|
| 2294 |
+
{
|
| 2295 |
+
"epoch": 0.58,
|
| 2296 |
+
"eval_accuracy": 0.38399021526418786,
|
| 2297 |
+
"eval_loss": 3.3025898933410645,
|
| 2298 |
+
"eval_runtime": 11.9945,
|
| 2299 |
+
"eval_samples_per_second": 83.372,
|
| 2300 |
+
"eval_steps_per_second": 0.667,
|
| 2301 |
+
"step": 29000
|
| 2302 |
+
},
|
| 2303 |
+
{
|
| 2304 |
+
"epoch": 0.582,
|
| 2305 |
+
"grad_norm": 0.1469780057668686,
|
| 2306 |
+
"learning_rate": 0.0008126836531169177,
|
| 2307 |
+
"loss": 3.3142,
|
| 2308 |
+
"step": 29100
|
| 2309 |
+
},
|
| 2310 |
+
{
|
| 2311 |
+
"epoch": 0.584,
|
| 2312 |
+
"grad_norm": 0.15736377239227295,
|
| 2313 |
+
"learning_rate": 0.0008061909861559362,
|
| 2314 |
+
"loss": 3.2969,
|
| 2315 |
+
"step": 29200
|
| 2316 |
+
},
|
| 2317 |
+
{
|
| 2318 |
+
"epoch": 0.586,
|
| 2319 |
+
"grad_norm": 0.1577884554862976,
|
| 2320 |
+
"learning_rate": 0.0007997067970290741,
|
| 2321 |
+
"loss": 3.3034,
|
| 2322 |
+
"step": 29300
|
| 2323 |
+
},
|
| 2324 |
+
{
|
| 2325 |
+
"epoch": 0.588,
|
| 2326 |
+
"grad_norm": 0.1637413501739502,
|
| 2327 |
+
"learning_rate": 0.0007932313693757703,
|
| 2328 |
+
"loss": 3.3052,
|
| 2329 |
+
"step": 29400
|
| 2330 |
+
},
|
| 2331 |
+
{
|
| 2332 |
+
"epoch": 0.59,
|
| 2333 |
+
"grad_norm": 0.19296114146709442,
|
| 2334 |
+
"learning_rate": 0.0007867649864522074,
|
| 2335 |
+
"loss": 3.3069,
|
| 2336 |
+
"step": 29500
|
| 2337 |
+
},
|
| 2338 |
+
{
|
| 2339 |
+
"epoch": 0.592,
|
| 2340 |
+
"grad_norm": 0.14899814128875732,
|
| 2341 |
+
"learning_rate": 0.0007803079311189227,
|
| 2342 |
+
"loss": 3.3026,
|
| 2343 |
+
"step": 29600
|
| 2344 |
+
},
|
| 2345 |
+
{
|
| 2346 |
+
"epoch": 0.594,
|
| 2347 |
+
"grad_norm": 0.1329040378332138,
|
| 2348 |
+
"learning_rate": 0.0007738604858284345,
|
| 2349 |
+
"loss": 3.2944,
|
| 2350 |
+
"step": 29700
|
| 2351 |
+
},
|
| 2352 |
+
{
|
| 2353 |
+
"epoch": 0.596,
|
| 2354 |
+
"grad_norm": 0.15727417171001434,
|
| 2355 |
+
"learning_rate": 0.0007674229326128867,
|
| 2356 |
+
"loss": 3.3166,
|
| 2357 |
+
"step": 29800
|
| 2358 |
+
},
|
| 2359 |
+
{
|
| 2360 |
+
"epoch": 0.598,
|
| 2361 |
+
"grad_norm": 0.15141139924526215,
|
| 2362 |
+
"learning_rate": 0.0007609955530717117,
|
| 2363 |
+
"loss": 3.2907,
|
| 2364 |
+
"step": 29900
|
| 2365 |
+
},
|
| 2366 |
+
{
|
| 2367 |
+
"epoch": 0.6,
|
| 2368 |
+
"grad_norm": 0.13476119935512543,
|
| 2369 |
+
"learning_rate": 0.0007545786283593116,
|
| 2370 |
+
"loss": 3.2933,
|
| 2371 |
+
"step": 30000
|
| 2372 |
+
},
|
| 2373 |
+
{
|
| 2374 |
+
"epoch": 0.6,
|
| 2375 |
+
"eval_accuracy": 0.38492172211350295,
|
| 2376 |
+
"eval_loss": 3.2943880558013916,
|
| 2377 |
+
"eval_runtime": 11.9455,
|
| 2378 |
+
"eval_samples_per_second": 83.713,
|
| 2379 |
+
"eval_steps_per_second": 0.67,
|
| 2380 |
+
"step": 30000
|
| 2381 |
}
|
| 2382 |
],
|
| 2383 |
"logging_steps": 100,
|