Training in progress, step 1000, 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 174663600
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dd2ce83fb862336b4729018afc8e291aa4c2d38ce3b3b5625756b6a68e191913
|
| 3 |
size 174663600
|
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 177908997
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5c4a1c0542d95372b9b98cd04e9e19b1d3278913800f038cdb84306140c9e0f5
|
| 3 |
size 177908997
|
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 sha256:3b03751160f25dd1f7c08604bdbd7711f070d950dfb96d9acede0b0ccf333222
|
| 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 sha256:9803335b183336349e91b866e4b2332f37cecb5e5bd9cf6a14b120c0067b5d71
|
| 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": 500,
|
| 7 |
-
"global_step":
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
|
@@ -208,6 +208,206 @@
|
|
| 208 |
"mean_token_accuracy": 0.8954069356620312,
|
| 209 |
"num_tokens": 8271560.0,
|
| 210 |
"step": 500
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 211 |
}
|
| 212 |
],
|
| 213 |
"logging_steps": 25,
|
|
@@ -227,7 +427,7 @@
|
|
| 227 |
"attributes": {}
|
| 228 |
}
|
| 229 |
},
|
| 230 |
-
"total_flos":
|
| 231 |
"train_batch_size": 2,
|
| 232 |
"trial_name": null,
|
| 233 |
"trial_params": null
|
|
|
|
| 2 |
"best_global_step": null,
|
| 3 |
"best_metric": null,
|
| 4 |
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.4724223455769458,
|
| 6 |
"eval_steps": 500,
|
| 7 |
+
"global_step": 1000,
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
|
|
|
| 208 |
"mean_token_accuracy": 0.8954069356620312,
|
| 209 |
"num_tokens": 8271560.0,
|
| 210 |
"step": 500
|
| 211 |
+
},
|
| 212 |
+
{
|
| 213 |
+
"entropy": 0.3849054877832532,
|
| 214 |
+
"epoch": 0.24802173142789655,
|
| 215 |
+
"grad_norm": 0.298828125,
|
| 216 |
+
"learning_rate": 8.238993710691824e-05,
|
| 217 |
+
"loss": 0.3863,
|
| 218 |
+
"mean_token_accuracy": 0.8975082874298096,
|
| 219 |
+
"num_tokens": 8681455.0,
|
| 220 |
+
"step": 525
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"entropy": 0.3748340607620776,
|
| 224 |
+
"epoch": 0.25983229006732017,
|
| 225 |
+
"grad_norm": 0.26171875,
|
| 226 |
+
"learning_rate": 8.632075471698113e-05,
|
| 227 |
+
"loss": 0.3758,
|
| 228 |
+
"mean_token_accuracy": 0.9003522478044033,
|
| 229 |
+
"num_tokens": 9087910.0,
|
| 230 |
+
"step": 550
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"entropy": 0.37765146313235165,
|
| 234 |
+
"epoch": 0.2716428487067438,
|
| 235 |
+
"grad_norm": 0.2890625,
|
| 236 |
+
"learning_rate": 9.025157232704403e-05,
|
| 237 |
+
"loss": 0.3797,
|
| 238 |
+
"mean_token_accuracy": 0.8989867885410786,
|
| 239 |
+
"num_tokens": 9515141.0,
|
| 240 |
+
"step": 575
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"entropy": 0.3586317488178611,
|
| 244 |
+
"epoch": 0.2834534073461675,
|
| 245 |
+
"grad_norm": 0.310546875,
|
| 246 |
+
"learning_rate": 9.418238993710692e-05,
|
| 247 |
+
"loss": 0.3581,
|
| 248 |
+
"mean_token_accuracy": 0.9045962546765804,
|
| 249 |
+
"num_tokens": 9930880.0,
|
| 250 |
+
"step": 600
|
| 251 |
+
},
|
| 252 |
+
{
|
| 253 |
+
"entropy": 0.352232004404068,
|
| 254 |
+
"epoch": 0.2952639659855911,
|
| 255 |
+
"grad_norm": 0.283203125,
|
| 256 |
+
"learning_rate": 9.811320754716981e-05,
|
| 257 |
+
"loss": 0.3548,
|
| 258 |
+
"mean_token_accuracy": 0.9052738857269287,
|
| 259 |
+
"num_tokens": 10342008.0,
|
| 260 |
+
"step": 625
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"entropy": 0.3356729177199304,
|
| 264 |
+
"epoch": 0.3070745246250148,
|
| 265 |
+
"grad_norm": 0.345703125,
|
| 266 |
+
"learning_rate": 9.99987232903501e-05,
|
| 267 |
+
"loss": 0.3366,
|
| 268 |
+
"mean_token_accuracy": 0.9096107052266598,
|
| 269 |
+
"num_tokens": 10752059.0,
|
| 270 |
+
"step": 650
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"entropy": 0.325265455506742,
|
| 274 |
+
"epoch": 0.31888508326443843,
|
| 275 |
+
"grad_norm": 0.3359375,
|
| 276 |
+
"learning_rate": 9.998909165950179e-05,
|
| 277 |
+
"loss": 0.3265,
|
| 278 |
+
"mean_token_accuracy": 0.9125442025065422,
|
| 279 |
+
"num_tokens": 11171710.0,
|
| 280 |
+
"step": 675
|
| 281 |
+
},
|
| 282 |
+
{
|
| 283 |
+
"entropy": 0.3302194595709443,
|
| 284 |
+
"epoch": 0.330695641903862,
|
| 285 |
+
"grad_norm": 0.275390625,
|
| 286 |
+
"learning_rate": 9.997001907852635e-05,
|
| 287 |
+
"loss": 0.3284,
|
| 288 |
+
"mean_token_accuracy": 0.9123465406894684,
|
| 289 |
+
"num_tokens": 11591328.0,
|
| 290 |
+
"step": 700
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"entropy": 0.3197361998446286,
|
| 294 |
+
"epoch": 0.3425062005432857,
|
| 295 |
+
"grad_norm": 0.333984375,
|
| 296 |
+
"learning_rate": 9.994150914947533e-05,
|
| 297 |
+
"loss": 0.3189,
|
| 298 |
+
"mean_token_accuracy": 0.9138493274152278,
|
| 299 |
+
"num_tokens": 12007445.0,
|
| 300 |
+
"step": 725
|
| 301 |
+
},
|
| 302 |
+
{
|
| 303 |
+
"entropy": 0.30230416195467114,
|
| 304 |
+
"epoch": 0.35431675918270933,
|
| 305 |
+
"grad_norm": 0.29296875,
|
| 306 |
+
"learning_rate": 9.990356725673984e-05,
|
| 307 |
+
"loss": 0.3,
|
| 308 |
+
"mean_token_accuracy": 0.9195481817424297,
|
| 309 |
+
"num_tokens": 12410123.0,
|
| 310 |
+
"step": 750
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"entropy": 0.28528838012367486,
|
| 314 |
+
"epoch": 0.366127317822133,
|
| 315 |
+
"grad_norm": 0.37109375,
|
| 316 |
+
"learning_rate": 9.985620056603348e-05,
|
| 317 |
+
"loss": 0.2833,
|
| 318 |
+
"mean_token_accuracy": 0.9226957756280899,
|
| 319 |
+
"num_tokens": 12817735.0,
|
| 320 |
+
"step": 775
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"entropy": 0.2931415150873363,
|
| 324 |
+
"epoch": 0.37793787646155663,
|
| 325 |
+
"grad_norm": 0.26171875,
|
| 326 |
+
"learning_rate": 9.979941802303922e-05,
|
| 327 |
+
"loss": 0.2925,
|
| 328 |
+
"mean_token_accuracy": 0.9212754264473915,
|
| 329 |
+
"num_tokens": 13239923.0,
|
| 330 |
+
"step": 800
|
| 331 |
+
},
|
| 332 |
+
{
|
| 333 |
+
"entropy": 0.28012413138523695,
|
| 334 |
+
"epoch": 0.3897484351009803,
|
| 335 |
+
"grad_norm": 0.322265625,
|
| 336 |
+
"learning_rate": 9.973323035171982e-05,
|
| 337 |
+
"loss": 0.2757,
|
| 338 |
+
"mean_token_accuracy": 0.9254035331308842,
|
| 339 |
+
"num_tokens": 13656664.0,
|
| 340 |
+
"step": 825
|
| 341 |
+
},
|
| 342 |
+
{
|
| 343 |
+
"entropy": 0.2714027400501072,
|
| 344 |
+
"epoch": 0.40155899374040394,
|
| 345 |
+
"grad_norm": 0.2451171875,
|
| 346 |
+
"learning_rate": 9.965765005229248e-05,
|
| 347 |
+
"loss": 0.2694,
|
| 348 |
+
"mean_token_accuracy": 0.9276439958810806,
|
| 349 |
+
"num_tokens": 14067791.0,
|
| 350 |
+
"step": 850
|
| 351 |
+
},
|
| 352 |
+
{
|
| 353 |
+
"entropy": 0.2834288664162159,
|
| 354 |
+
"epoch": 0.4133695523798276,
|
| 355 |
+
"grad_norm": 0.333984375,
|
| 356 |
+
"learning_rate": 9.957269139886808e-05,
|
| 357 |
+
"loss": 0.2804,
|
| 358 |
+
"mean_token_accuracy": 0.9238070417940617,
|
| 359 |
+
"num_tokens": 14467768.0,
|
| 360 |
+
"step": 875
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"entropy": 0.2719649145565927,
|
| 364 |
+
"epoch": 0.4251801110192512,
|
| 365 |
+
"grad_norm": 0.267578125,
|
| 366 |
+
"learning_rate": 9.947837043675537e-05,
|
| 367 |
+
"loss": 0.2668,
|
| 368 |
+
"mean_token_accuracy": 0.9286511231958866,
|
| 369 |
+
"num_tokens": 14885985.0,
|
| 370 |
+
"step": 900
|
| 371 |
+
},
|
| 372 |
+
{
|
| 373 |
+
"entropy": 0.2586036479100585,
|
| 374 |
+
"epoch": 0.43699066965867484,
|
| 375 |
+
"grad_norm": 0.353515625,
|
| 376 |
+
"learning_rate": 9.937470497943064e-05,
|
| 377 |
+
"loss": 0.255,
|
| 378 |
+
"mean_token_accuracy": 0.931592576354742,
|
| 379 |
+
"num_tokens": 15291855.0,
|
| 380 |
+
"step": 925
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"entropy": 0.2572586870100349,
|
| 384 |
+
"epoch": 0.4488012282980985,
|
| 385 |
+
"grad_norm": 0.302734375,
|
| 386 |
+
"learning_rate": 9.926171460517348e-05,
|
| 387 |
+
"loss": 0.2541,
|
| 388 |
+
"mean_token_accuracy": 0.9317594549059868,
|
| 389 |
+
"num_tokens": 15697297.0,
|
| 390 |
+
"step": 950
|
| 391 |
+
},
|
| 392 |
+
{
|
| 393 |
+
"entropy": 0.2428761958517134,
|
| 394 |
+
"epoch": 0.46061178693752214,
|
| 395 |
+
"grad_norm": 0.287109375,
|
| 396 |
+
"learning_rate": 9.913942065336921e-05,
|
| 397 |
+
"loss": 0.2381,
|
| 398 |
+
"mean_token_accuracy": 0.9357545764744282,
|
| 399 |
+
"num_tokens": 16112052.0,
|
| 400 |
+
"step": 975
|
| 401 |
+
},
|
| 402 |
+
{
|
| 403 |
+
"entropy": 0.2368166291434318,
|
| 404 |
+
"epoch": 0.4724223455769458,
|
| 405 |
+
"grad_norm": 0.296875,
|
| 406 |
+
"learning_rate": 9.90078462204787e-05,
|
| 407 |
+
"loss": 0.2316,
|
| 408 |
+
"mean_token_accuracy": 0.9370592629909515,
|
| 409 |
+
"num_tokens": 16532116.0,
|
| 410 |
+
"step": 1000
|
| 411 |
}
|
| 412 |
],
|
| 413 |
"logging_steps": 25,
|
|
|
|
| 427 |
"attributes": {}
|
| 428 |
}
|
| 429 |
},
|
| 430 |
+
"total_flos": 1.0567860712982623e+18,
|
| 431 |
"train_batch_size": 2,
|
| 432 |
"trial_name": null,
|
| 433 |
"trial_params": null
|