Training in progress, step 4400, 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 990185320
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ad15d12fa229f1794a8dd10223f571b0c4044b188c2edb0e066b7a18688f6132
|
| 3 |
size 990185320
|
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1980545291
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:52a3dcb31a2a26c374576cfddafb3476db84b7103622bbfe66f386c692915e00
|
| 3 |
size 1980545291
|
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 sha256:435141f0266913129d6ffd1dc7b62f464fe5698014d7627dbd3fef5684f9d38b
|
| 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 sha256:0258928230b848c7fc84e13b45f33e34530c19f3dde5f9081a5d4f027a569dd2
|
| 3 |
size 1465
|
last-checkpoint/trainer_state.json
CHANGED
|
@@ -2,1006 +2,436 @@
|
|
| 2 |
"best_global_step": null,
|
| 3 |
"best_metric": null,
|
| 4 |
"best_model_checkpoint": null,
|
| 5 |
-
"epoch":
|
| 6 |
"eval_steps": 400,
|
| 7 |
-
"global_step":
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
| 11 |
"log_history": [
|
| 12 |
{
|
| 13 |
-
"epoch": 0.
|
| 14 |
-
"grad_norm":
|
| 15 |
-
"learning_rate": 3.
|
| 16 |
-
"loss":
|
| 17 |
"step": 100
|
| 18 |
},
|
| 19 |
{
|
| 20 |
-
"epoch": 0.
|
| 21 |
-
"grad_norm":
|
| 22 |
-
"learning_rate": 3.
|
| 23 |
-
"loss":
|
| 24 |
"step": 200
|
| 25 |
},
|
| 26 |
{
|
| 27 |
-
"epoch": 0.
|
| 28 |
-
"grad_norm":
|
| 29 |
-
"learning_rate": 3.
|
| 30 |
-
"loss":
|
| 31 |
"step": 300
|
| 32 |
},
|
| 33 |
{
|
| 34 |
-
"epoch": 0.
|
| 35 |
-
"grad_norm":
|
| 36 |
-
"learning_rate": 3.
|
| 37 |
-
"loss":
|
| 38 |
"step": 400
|
| 39 |
},
|
| 40 |
{
|
| 41 |
-
"epoch": 0.
|
| 42 |
-
"eval_bleu":
|
| 43 |
-
"eval_chrf":
|
| 44 |
-
"eval_loss":
|
| 45 |
-
"eval_runtime":
|
| 46 |
-
"eval_samples_per_second": 8.
|
| 47 |
-
"eval_steps_per_second": 1.
|
| 48 |
"step": 400
|
| 49 |
},
|
| 50 |
{
|
| 51 |
-
"epoch": 0.
|
| 52 |
-
"grad_norm":
|
| 53 |
-
"learning_rate": 3.
|
| 54 |
-
"loss":
|
| 55 |
"step": 500
|
| 56 |
},
|
| 57 |
{
|
| 58 |
-
"epoch": 0.
|
| 59 |
-
"grad_norm":
|
| 60 |
-
"learning_rate": 3.
|
| 61 |
-
"loss":
|
| 62 |
"step": 600
|
| 63 |
},
|
| 64 |
{
|
| 65 |
-
"epoch": 0.
|
| 66 |
-
"grad_norm":
|
| 67 |
-
"learning_rate": 3.
|
| 68 |
-
"loss":
|
| 69 |
"step": 700
|
| 70 |
},
|
| 71 |
{
|
| 72 |
-
"epoch": 0.
|
| 73 |
-
"grad_norm":
|
| 74 |
-
"learning_rate": 3.
|
| 75 |
-
"loss": 1.
|
| 76 |
"step": 800
|
| 77 |
},
|
| 78 |
{
|
| 79 |
-
"epoch": 0.
|
| 80 |
-
"eval_bleu":
|
| 81 |
-
"eval_chrf":
|
| 82 |
-
"eval_loss":
|
| 83 |
-
"eval_runtime":
|
| 84 |
-
"eval_samples_per_second": 8.
|
| 85 |
-
"eval_steps_per_second": 1.
|
| 86 |
"step": 800
|
| 87 |
},
|
| 88 |
{
|
| 89 |
-
"epoch": 0.
|
| 90 |
-
"grad_norm": 5.
|
| 91 |
-
"learning_rate": 3.
|
| 92 |
-
"loss":
|
| 93 |
"step": 900
|
| 94 |
},
|
| 95 |
{
|
| 96 |
-
"epoch": 0.
|
| 97 |
-
"grad_norm":
|
| 98 |
-
"learning_rate":
|
| 99 |
-
"loss":
|
| 100 |
"step": 1000
|
| 101 |
},
|
| 102 |
{
|
| 103 |
-
"epoch": 0.
|
| 104 |
-
"grad_norm": 4.
|
| 105 |
-
"learning_rate":
|
| 106 |
-
"loss":
|
| 107 |
"step": 1100
|
| 108 |
},
|
| 109 |
{
|
| 110 |
-
"epoch": 0.
|
| 111 |
-
"grad_norm":
|
| 112 |
-
"learning_rate":
|
| 113 |
-
"loss":
|
| 114 |
"step": 1200
|
| 115 |
},
|
| 116 |
{
|
| 117 |
-
"epoch": 0.
|
| 118 |
-
"eval_bleu":
|
| 119 |
-
"eval_chrf":
|
| 120 |
-
"eval_loss":
|
| 121 |
-
"eval_runtime":
|
| 122 |
-
"eval_samples_per_second": 8.
|
| 123 |
-
"eval_steps_per_second": 1.
|
| 124 |
"step": 1200
|
| 125 |
},
|
| 126 |
{
|
| 127 |
-
"epoch": 0.
|
| 128 |
-
"grad_norm":
|
| 129 |
-
"learning_rate":
|
| 130 |
-
"loss":
|
| 131 |
"step": 1300
|
| 132 |
},
|
| 133 |
{
|
| 134 |
-
"epoch": 0.
|
| 135 |
-
"grad_norm": 3.
|
| 136 |
-
"learning_rate": 2.
|
| 137 |
-
"loss":
|
| 138 |
"step": 1400
|
| 139 |
},
|
| 140 |
{
|
| 141 |
-
"epoch": 0.
|
| 142 |
-
"grad_norm":
|
| 143 |
-
"learning_rate": 2.
|
| 144 |
-
"loss":
|
| 145 |
"step": 1500
|
| 146 |
},
|
| 147 |
{
|
| 148 |
-
"epoch": 0.
|
| 149 |
-
"grad_norm":
|
| 150 |
-
"learning_rate": 2.
|
| 151 |
-
"loss":
|
| 152 |
"step": 1600
|
| 153 |
},
|
| 154 |
{
|
| 155 |
-
"epoch": 0.
|
| 156 |
-
"eval_bleu":
|
| 157 |
-
"eval_chrf":
|
| 158 |
-
"eval_loss":
|
| 159 |
-
"eval_runtime":
|
| 160 |
-
"eval_samples_per_second": 8.
|
| 161 |
-
"eval_steps_per_second": 1.
|
| 162 |
"step": 1600
|
| 163 |
},
|
| 164 |
{
|
| 165 |
-
"epoch": 0.
|
| 166 |
-
"grad_norm": 4.
|
| 167 |
-
"learning_rate": 2.
|
| 168 |
-
"loss":
|
| 169 |
"step": 1700
|
| 170 |
},
|
| 171 |
{
|
| 172 |
-
"epoch": 0.
|
| 173 |
-
"grad_norm":
|
| 174 |
-
"learning_rate": 2.
|
| 175 |
-
"loss":
|
| 176 |
"step": 1800
|
| 177 |
},
|
| 178 |
{
|
| 179 |
-
"epoch": 0.
|
| 180 |
-
"grad_norm":
|
| 181 |
-
"learning_rate": 2.
|
| 182 |
-
"loss":
|
| 183 |
"step": 1900
|
| 184 |
},
|
| 185 |
{
|
| 186 |
-
"epoch": 0.
|
| 187 |
-
"grad_norm":
|
| 188 |
-
"learning_rate": 2.
|
| 189 |
-
"loss":
|
| 190 |
"step": 2000
|
| 191 |
},
|
| 192 |
{
|
| 193 |
-
"epoch": 0.
|
| 194 |
-
"eval_bleu":
|
| 195 |
-
"eval_chrf":
|
| 196 |
-
"eval_loss":
|
| 197 |
-
"eval_runtime":
|
| 198 |
-
"eval_samples_per_second": 8.
|
| 199 |
-
"eval_steps_per_second": 1.
|
| 200 |
"step": 2000
|
| 201 |
},
|
| 202 |
{
|
| 203 |
-
"epoch": 0.
|
| 204 |
-
"grad_norm": 4.
|
| 205 |
-
"learning_rate": 2.
|
| 206 |
-
"loss":
|
| 207 |
"step": 2100
|
| 208 |
},
|
| 209 |
{
|
| 210 |
-
"epoch": 0.
|
| 211 |
-
"grad_norm":
|
| 212 |
-
"learning_rate": 2.
|
| 213 |
-
"loss":
|
| 214 |
"step": 2200
|
| 215 |
},
|
| 216 |
{
|
| 217 |
-
"epoch": 0.
|
| 218 |
-
"grad_norm":
|
| 219 |
-
"learning_rate": 2.
|
| 220 |
-
"loss":
|
| 221 |
"step": 2300
|
| 222 |
},
|
| 223 |
{
|
| 224 |
-
"epoch": 0.
|
| 225 |
-
"grad_norm":
|
| 226 |
-
"learning_rate": 2.
|
| 227 |
-
"loss":
|
| 228 |
"step": 2400
|
| 229 |
},
|
| 230 |
{
|
| 231 |
-
"epoch": 0.
|
| 232 |
-
"eval_bleu":
|
| 233 |
-
"eval_chrf":
|
| 234 |
-
"eval_loss":
|
| 235 |
-
"eval_runtime":
|
| 236 |
-
"eval_samples_per_second": 8.
|
| 237 |
-
"eval_steps_per_second": 1.
|
| 238 |
"step": 2400
|
| 239 |
},
|
| 240 |
{
|
| 241 |
-
"epoch": 0.
|
| 242 |
-
"grad_norm": 4.
|
| 243 |
-
"learning_rate": 2.
|
| 244 |
-
"loss":
|
| 245 |
"step": 2500
|
| 246 |
},
|
| 247 |
{
|
| 248 |
-
"epoch": 0.
|
| 249 |
-
"grad_norm": 4.
|
| 250 |
-
"learning_rate": 2.
|
| 251 |
-
"loss":
|
| 252 |
"step": 2600
|
| 253 |
},
|
| 254 |
{
|
| 255 |
-
"epoch": 0.
|
| 256 |
-
"grad_norm": 3.
|
| 257 |
-
"learning_rate": 2.
|
| 258 |
-
"loss":
|
| 259 |
"step": 2700
|
| 260 |
},
|
| 261 |
{
|
| 262 |
-
"epoch":
|
| 263 |
-
"grad_norm":
|
| 264 |
-
"learning_rate":
|
| 265 |
-
"loss":
|
| 266 |
"step": 2800
|
| 267 |
},
|
| 268 |
{
|
| 269 |
-
"epoch":
|
| 270 |
-
"eval_bleu":
|
| 271 |
-
"eval_chrf":
|
| 272 |
-
"eval_loss":
|
| 273 |
-
"eval_runtime":
|
| 274 |
-
"eval_samples_per_second": 8.
|
| 275 |
-
"eval_steps_per_second": 1.
|
| 276 |
"step": 2800
|
| 277 |
},
|
| 278 |
{
|
| 279 |
-
"epoch":
|
| 280 |
-
"grad_norm":
|
| 281 |
-
"learning_rate":
|
| 282 |
-
"loss":
|
| 283 |
"step": 2900
|
| 284 |
},
|
| 285 |
{
|
| 286 |
-
"epoch":
|
| 287 |
-
"grad_norm":
|
| 288 |
-
"learning_rate": 1.
|
| 289 |
-
"loss":
|
| 290 |
"step": 3000
|
| 291 |
},
|
| 292 |
{
|
| 293 |
-
"epoch":
|
| 294 |
-
"grad_norm":
|
| 295 |
-
"learning_rate": 1.
|
| 296 |
-
"loss":
|
| 297 |
"step": 3100
|
| 298 |
},
|
| 299 |
{
|
| 300 |
-
"epoch":
|
| 301 |
-
"grad_norm":
|
| 302 |
-
"learning_rate": 1.
|
| 303 |
-
"loss":
|
| 304 |
"step": 3200
|
| 305 |
},
|
| 306 |
{
|
| 307 |
-
"epoch":
|
| 308 |
-
"eval_bleu":
|
| 309 |
-
"eval_chrf":
|
| 310 |
-
"eval_loss":
|
| 311 |
-
"eval_runtime":
|
| 312 |
-
"eval_samples_per_second": 8.
|
| 313 |
-
"eval_steps_per_second": 1.
|
| 314 |
"step": 3200
|
| 315 |
},
|
| 316 |
{
|
| 317 |
-
"epoch":
|
| 318 |
-
"grad_norm": 4.
|
| 319 |
-
"learning_rate": 1.
|
| 320 |
-
"loss":
|
| 321 |
"step": 3300
|
| 322 |
},
|
| 323 |
{
|
| 324 |
-
"epoch":
|
| 325 |
-
"grad_norm":
|
| 326 |
-
"learning_rate": 1.
|
| 327 |
-
"loss":
|
| 328 |
"step": 3400
|
| 329 |
},
|
| 330 |
{
|
| 331 |
-
"epoch": 1.
|
| 332 |
-
"grad_norm":
|
| 333 |
-
"learning_rate": 1.
|
| 334 |
-
"loss":
|
| 335 |
"step": 3500
|
| 336 |
},
|
| 337 |
{
|
| 338 |
-
"epoch": 1.
|
| 339 |
-
"grad_norm": 3.
|
| 340 |
-
"learning_rate": 1.
|
| 341 |
-
"loss":
|
| 342 |
"step": 3600
|
| 343 |
},
|
| 344 |
{
|
| 345 |
-
"epoch": 1.
|
| 346 |
-
"eval_bleu":
|
| 347 |
-
"eval_chrf":
|
| 348 |
-
"eval_loss":
|
| 349 |
-
"eval_runtime":
|
| 350 |
-
"eval_samples_per_second": 8.
|
| 351 |
-
"eval_steps_per_second": 1.
|
| 352 |
"step": 3600
|
| 353 |
},
|
| 354 |
{
|
| 355 |
-
"epoch": 1.
|
| 356 |
-
"grad_norm":
|
| 357 |
-
"learning_rate": 1.
|
| 358 |
-
"loss":
|
| 359 |
"step": 3700
|
| 360 |
},
|
| 361 |
{
|
| 362 |
-
"epoch": 1.
|
| 363 |
-
"grad_norm": 3.
|
| 364 |
-
"learning_rate": 1.
|
| 365 |
-
"loss": 0.
|
| 366 |
"step": 3800
|
| 367 |
},
|
| 368 |
{
|
| 369 |
-
"epoch": 1.
|
| 370 |
-
"grad_norm":
|
| 371 |
-
"learning_rate": 1.
|
| 372 |
-
"loss":
|
| 373 |
"step": 3900
|
| 374 |
},
|
| 375 |
{
|
| 376 |
-
"epoch": 1.
|
| 377 |
-
"grad_norm":
|
| 378 |
-
"learning_rate": 1.
|
| 379 |
-
"loss":
|
| 380 |
"step": 4000
|
| 381 |
},
|
| 382 |
{
|
| 383 |
-
"epoch": 1.
|
| 384 |
-
"eval_bleu":
|
| 385 |
-
"eval_chrf":
|
| 386 |
-
"eval_loss":
|
| 387 |
-
"eval_runtime":
|
| 388 |
-
"eval_samples_per_second": 8.
|
| 389 |
-
"eval_steps_per_second": 1.
|
| 390 |
"step": 4000
|
| 391 |
},
|
| 392 |
{
|
| 393 |
-
"epoch": 1.
|
| 394 |
-
"grad_norm":
|
| 395 |
-
"learning_rate":
|
| 396 |
-
"loss":
|
| 397 |
"step": 4100
|
| 398 |
},
|
| 399 |
{
|
| 400 |
-
"epoch": 1.
|
| 401 |
-
"grad_norm": 3.
|
| 402 |
-
"learning_rate":
|
| 403 |
-
"loss":
|
| 404 |
"step": 4200
|
| 405 |
},
|
| 406 |
{
|
| 407 |
-
"epoch": 1.
|
| 408 |
-
"grad_norm":
|
| 409 |
-
"learning_rate":
|
| 410 |
-
"loss":
|
| 411 |
"step": 4300
|
| 412 |
},
|
| 413 |
{
|
| 414 |
-
"epoch": 1.
|
| 415 |
-
"grad_norm": 4.
|
| 416 |
-
"learning_rate":
|
| 417 |
-
"loss":
|
| 418 |
-
"step": 4400
|
| 419 |
-
},
|
| 420 |
-
{
|
| 421 |
-
"epoch": 1.2640045963803503,
|
| 422 |
-
"eval_bleu": 43.13712526544163,
|
| 423 |
-
"eval_chrf": 68.36972995474055,
|
| 424 |
-
"eval_loss": 1.0530284643173218,
|
| 425 |
-
"eval_runtime": 92.6858,
|
| 426 |
-
"eval_samples_per_second": 8.804,
|
| 427 |
-
"eval_steps_per_second": 1.1,
|
| 428 |
"step": 4400
|
| 429 |
},
|
| 430 |
{
|
| 431 |
-
"epoch": 1.
|
| 432 |
-
"
|
| 433 |
-
"
|
| 434 |
-
"
|
| 435 |
-
"
|
| 436 |
-
|
| 437 |
-
{
|
| 438 |
-
"epoch": 1.3214593507612755,
|
| 439 |
-
"grad_norm": 5.3379669189453125,
|
| 440 |
-
"learning_rate": 1.1879488652686009e-05,
|
| 441 |
-
"loss": 0.9576,
|
| 442 |
-
"step": 4600
|
| 443 |
-
},
|
| 444 |
-
{
|
| 445 |
-
"epoch": 1.3501867279517379,
|
| 446 |
-
"grad_norm": 3.882709264755249,
|
| 447 |
-
"learning_rate": 1.1376759551852914e-05,
|
| 448 |
-
"loss": 1.0353,
|
| 449 |
-
"step": 4700
|
| 450 |
-
},
|
| 451 |
-
{
|
| 452 |
-
"epoch": 1.3789141051422005,
|
| 453 |
-
"grad_norm": 5.007932662963867,
|
| 454 |
-
"learning_rate": 1.0874030451019821e-05,
|
| 455 |
-
"loss": 1.1185,
|
| 456 |
-
"step": 4800
|
| 457 |
-
},
|
| 458 |
-
{
|
| 459 |
-
"epoch": 1.3789141051422005,
|
| 460 |
-
"eval_bleu": 43.42350950007614,
|
| 461 |
-
"eval_chrf": 68.41671354789146,
|
| 462 |
-
"eval_loss": 1.0510783195495605,
|
| 463 |
-
"eval_runtime": 92.8632,
|
| 464 |
-
"eval_samples_per_second": 8.787,
|
| 465 |
-
"eval_steps_per_second": 1.098,
|
| 466 |
-
"step": 4800
|
| 467 |
-
},
|
| 468 |
-
{
|
| 469 |
-
"epoch": 1.407641482332663,
|
| 470 |
-
"grad_norm": 4.357149600982666,
|
| 471 |
-
"learning_rate": 1.0371301350186727e-05,
|
| 472 |
-
"loss": 1.0127,
|
| 473 |
-
"step": 4900
|
| 474 |
-
},
|
| 475 |
-
{
|
| 476 |
-
"epoch": 1.4363688595231254,
|
| 477 |
-
"grad_norm": 4.049122333526611,
|
| 478 |
-
"learning_rate": 9.868572249353634e-06,
|
| 479 |
-
"loss": 0.9992,
|
| 480 |
-
"step": 5000
|
| 481 |
-
},
|
| 482 |
-
{
|
| 483 |
-
"epoch": 1.465096236713588,
|
| 484 |
-
"grad_norm": 7.8539509773254395,
|
| 485 |
-
"learning_rate": 9.36584314852054e-06,
|
| 486 |
-
"loss": 0.9932,
|
| 487 |
-
"step": 5100
|
| 488 |
-
},
|
| 489 |
-
{
|
| 490 |
-
"epoch": 1.4938236139040506,
|
| 491 |
-
"grad_norm": 3.6276633739471436,
|
| 492 |
-
"learning_rate": 8.863114047687445e-06,
|
| 493 |
-
"loss": 1.0533,
|
| 494 |
-
"step": 5200
|
| 495 |
-
},
|
| 496 |
-
{
|
| 497 |
-
"epoch": 1.4938236139040506,
|
| 498 |
-
"eval_bleu": 43.312959923626096,
|
| 499 |
-
"eval_chrf": 68.37463399791737,
|
| 500 |
-
"eval_loss": 1.0536953210830688,
|
| 501 |
-
"eval_runtime": 92.7398,
|
| 502 |
-
"eval_samples_per_second": 8.799,
|
| 503 |
-
"eval_steps_per_second": 1.1,
|
| 504 |
-
"step": 5200
|
| 505 |
-
},
|
| 506 |
-
{
|
| 507 |
-
"epoch": 1.522550991094513,
|
| 508 |
-
"grad_norm": 5.274589538574219,
|
| 509 |
-
"learning_rate": 8.360384946854352e-06,
|
| 510 |
-
"loss": 1.0569,
|
| 511 |
-
"step": 5300
|
| 512 |
-
},
|
| 513 |
-
{
|
| 514 |
-
"epoch": 1.5512783682849756,
|
| 515 |
-
"grad_norm": 4.3048553466796875,
|
| 516 |
-
"learning_rate": 7.857655846021257e-06,
|
| 517 |
-
"loss": 0.9795,
|
| 518 |
-
"step": 5400
|
| 519 |
-
},
|
| 520 |
-
{
|
| 521 |
-
"epoch": 1.5800057454754382,
|
| 522 |
-
"grad_norm": 2.943560838699341,
|
| 523 |
-
"learning_rate": 7.354926745188164e-06,
|
| 524 |
-
"loss": 1.0684,
|
| 525 |
-
"step": 5500
|
| 526 |
-
},
|
| 527 |
-
{
|
| 528 |
-
"epoch": 1.6087331226659005,
|
| 529 |
-
"grad_norm": 4.310853481292725,
|
| 530 |
-
"learning_rate": 6.852197644355069e-06,
|
| 531 |
-
"loss": 1.0273,
|
| 532 |
-
"step": 5600
|
| 533 |
-
},
|
| 534 |
-
{
|
| 535 |
-
"epoch": 1.6087331226659005,
|
| 536 |
-
"eval_bleu": 43.54734511736152,
|
| 537 |
-
"eval_chrf": 68.38126240205835,
|
| 538 |
-
"eval_loss": 1.0513123273849487,
|
| 539 |
-
"eval_runtime": 93.5642,
|
| 540 |
-
"eval_samples_per_second": 8.721,
|
| 541 |
-
"eval_steps_per_second": 1.09,
|
| 542 |
-
"step": 5600
|
| 543 |
-
},
|
| 544 |
-
{
|
| 545 |
-
"epoch": 1.637460499856363,
|
| 546 |
-
"grad_norm": 5.702296733856201,
|
| 547 |
-
"learning_rate": 6.349468543521976e-06,
|
| 548 |
-
"loss": 1.0453,
|
| 549 |
-
"step": 5700
|
| 550 |
-
},
|
| 551 |
-
{
|
| 552 |
-
"epoch": 1.6661878770468257,
|
| 553 |
-
"grad_norm": 4.328929424285889,
|
| 554 |
-
"learning_rate": 5.846739442688882e-06,
|
| 555 |
-
"loss": 1.0025,
|
| 556 |
-
"step": 5800
|
| 557 |
-
},
|
| 558 |
-
{
|
| 559 |
-
"epoch": 1.694915254237288,
|
| 560 |
-
"grad_norm": 3.448596954345703,
|
| 561 |
-
"learning_rate": 5.344010341855789e-06,
|
| 562 |
-
"loss": 1.0255,
|
| 563 |
-
"step": 5900
|
| 564 |
-
},
|
| 565 |
-
{
|
| 566 |
-
"epoch": 1.7236426314277506,
|
| 567 |
-
"grad_norm": 5.398486614227295,
|
| 568 |
-
"learning_rate": 4.841281241022694e-06,
|
| 569 |
-
"loss": 1.0557,
|
| 570 |
-
"step": 6000
|
| 571 |
-
},
|
| 572 |
-
{
|
| 573 |
-
"epoch": 1.7236426314277506,
|
| 574 |
-
"eval_bleu": 43.809297513184895,
|
| 575 |
-
"eval_chrf": 68.57608398234109,
|
| 576 |
-
"eval_loss": 1.0441299676895142,
|
| 577 |
-
"eval_runtime": 93.6873,
|
| 578 |
-
"eval_samples_per_second": 8.71,
|
| 579 |
-
"eval_steps_per_second": 1.089,
|
| 580 |
-
"step": 6000
|
| 581 |
-
},
|
| 582 |
-
{
|
| 583 |
-
"epoch": 1.7523700086182132,
|
| 584 |
-
"grad_norm": 6.588860511779785,
|
| 585 |
-
"learning_rate": 4.338552140189601e-06,
|
| 586 |
-
"loss": 0.9614,
|
| 587 |
-
"step": 6100
|
| 588 |
-
},
|
| 589 |
-
{
|
| 590 |
-
"epoch": 1.7810973858086756,
|
| 591 |
-
"grad_norm": 3.7804524898529053,
|
| 592 |
-
"learning_rate": 3.835823039356507e-06,
|
| 593 |
-
"loss": 0.975,
|
| 594 |
-
"step": 6200
|
| 595 |
-
},
|
| 596 |
-
{
|
| 597 |
-
"epoch": 1.8098247629991382,
|
| 598 |
-
"grad_norm": 7.301486968994141,
|
| 599 |
-
"learning_rate": 3.3330939385234123e-06,
|
| 600 |
-
"loss": 0.9646,
|
| 601 |
-
"step": 6300
|
| 602 |
-
},
|
| 603 |
-
{
|
| 604 |
-
"epoch": 1.8385521401896008,
|
| 605 |
-
"grad_norm": 4.416522026062012,
|
| 606 |
-
"learning_rate": 2.8303648376903186e-06,
|
| 607 |
-
"loss": 1.084,
|
| 608 |
-
"step": 6400
|
| 609 |
-
},
|
| 610 |
-
{
|
| 611 |
-
"epoch": 1.8385521401896008,
|
| 612 |
-
"eval_bleu": 43.701603906200226,
|
| 613 |
-
"eval_chrf": 68.50928352812315,
|
| 614 |
-
"eval_loss": 1.0416936874389648,
|
| 615 |
-
"eval_runtime": 94.7088,
|
| 616 |
-
"eval_samples_per_second": 8.616,
|
| 617 |
-
"eval_steps_per_second": 1.077,
|
| 618 |
-
"step": 6400
|
| 619 |
-
},
|
| 620 |
-
{
|
| 621 |
-
"epoch": 1.8672795173800631,
|
| 622 |
-
"grad_norm": 4.443411827087402,
|
| 623 |
-
"learning_rate": 2.327635736857225e-06,
|
| 624 |
-
"loss": 1.0306,
|
| 625 |
-
"step": 6500
|
| 626 |
-
},
|
| 627 |
-
{
|
| 628 |
-
"epoch": 1.8960068945705257,
|
| 629 |
-
"grad_norm": 2.7506167888641357,
|
| 630 |
-
"learning_rate": 1.824906636024131e-06,
|
| 631 |
-
"loss": 0.9817,
|
| 632 |
-
"step": 6600
|
| 633 |
-
},
|
| 634 |
-
{
|
| 635 |
-
"epoch": 1.9247342717609883,
|
| 636 |
-
"grad_norm": 3.5802366733551025,
|
| 637 |
-
"learning_rate": 1.3221775351910368e-06,
|
| 638 |
-
"loss": 1.0187,
|
| 639 |
-
"step": 6700
|
| 640 |
-
},
|
| 641 |
-
{
|
| 642 |
-
"epoch": 1.9534616489514507,
|
| 643 |
-
"grad_norm": 3.9516446590423584,
|
| 644 |
-
"learning_rate": 8.194484343579431e-07,
|
| 645 |
-
"loss": 0.9603,
|
| 646 |
-
"step": 6800
|
| 647 |
-
},
|
| 648 |
-
{
|
| 649 |
-
"epoch": 1.9534616489514507,
|
| 650 |
-
"eval_bleu": 43.77821033710757,
|
| 651 |
-
"eval_chrf": 68.65385549549458,
|
| 652 |
-
"eval_loss": 1.0408196449279785,
|
| 653 |
-
"eval_runtime": 93.305,
|
| 654 |
-
"eval_samples_per_second": 8.746,
|
| 655 |
-
"eval_steps_per_second": 1.093,
|
| 656 |
-
"step": 6800
|
| 657 |
-
},
|
| 658 |
-
{
|
| 659 |
-
"epoch": 1.9821890261419133,
|
| 660 |
-
"grad_norm": 3.300943374633789,
|
| 661 |
-
"learning_rate": 1.7658359666762423e-05,
|
| 662 |
-
"loss": 0.9946,
|
| 663 |
-
"step": 6900
|
| 664 |
-
},
|
| 665 |
-
{
|
| 666 |
-
"epoch": 2.010916403332376,
|
| 667 |
-
"grad_norm": 4.883905410766602,
|
| 668 |
-
"learning_rate": 1.7406995116345875e-05,
|
| 669 |
-
"loss": 0.9878,
|
| 670 |
-
"step": 7000
|
| 671 |
-
},
|
| 672 |
-
{
|
| 673 |
-
"epoch": 2.0396437805228382,
|
| 674 |
-
"grad_norm": 8.941852569580078,
|
| 675 |
-
"learning_rate": 1.715563056592933e-05,
|
| 676 |
-
"loss": 1.0303,
|
| 677 |
-
"step": 7100
|
| 678 |
-
},
|
| 679 |
-
{
|
| 680 |
-
"epoch": 2.0683711577133006,
|
| 681 |
-
"grad_norm": 5.8202619552612305,
|
| 682 |
-
"learning_rate": 1.6904266015512782e-05,
|
| 683 |
-
"loss": 1.024,
|
| 684 |
-
"step": 7200
|
| 685 |
-
},
|
| 686 |
-
{
|
| 687 |
-
"epoch": 2.0683711577133006,
|
| 688 |
-
"eval_bleu": 44.776518325274054,
|
| 689 |
-
"eval_chrf": 69.47421963436383,
|
| 690 |
-
"eval_loss": 1.011445164680481,
|
| 691 |
-
"eval_runtime": 96.566,
|
| 692 |
-
"eval_samples_per_second": 8.45,
|
| 693 |
"eval_steps_per_second": 1.056,
|
| 694 |
-
"step":
|
| 695 |
-
},
|
| 696 |
-
{
|
| 697 |
-
"epoch": 2.0970985349037634,
|
| 698 |
-
"grad_norm": 4.4640212059021,
|
| 699 |
-
"learning_rate": 1.6652901465096237e-05,
|
| 700 |
-
"loss": 0.9985,
|
| 701 |
-
"step": 7300
|
| 702 |
-
},
|
| 703 |
-
{
|
| 704 |
-
"epoch": 2.125825912094226,
|
| 705 |
-
"grad_norm": 5.426873207092285,
|
| 706 |
-
"learning_rate": 1.640153691467969e-05,
|
| 707 |
-
"loss": 1.0666,
|
| 708 |
-
"step": 7400
|
| 709 |
-
},
|
| 710 |
-
{
|
| 711 |
-
"epoch": 2.154553289284688,
|
| 712 |
-
"grad_norm": 4.508958339691162,
|
| 713 |
-
"learning_rate": 1.615017236426314e-05,
|
| 714 |
-
"loss": 1.0056,
|
| 715 |
-
"step": 7500
|
| 716 |
-
},
|
| 717 |
-
{
|
| 718 |
-
"epoch": 2.183280666475151,
|
| 719 |
-
"grad_norm": 4.3101115226745605,
|
| 720 |
-
"learning_rate": 1.5898807813846596e-05,
|
| 721 |
-
"loss": 0.9447,
|
| 722 |
-
"step": 7600
|
| 723 |
-
},
|
| 724 |
-
{
|
| 725 |
-
"epoch": 2.183280666475151,
|
| 726 |
-
"eval_bleu": 44.62186321013662,
|
| 727 |
-
"eval_chrf": 69.46358431357127,
|
| 728 |
-
"eval_loss": 1.0075112581253052,
|
| 729 |
-
"eval_runtime": 97.4195,
|
| 730 |
-
"eval_samples_per_second": 8.376,
|
| 731 |
-
"eval_steps_per_second": 1.047,
|
| 732 |
-
"step": 7600
|
| 733 |
-
},
|
| 734 |
-
{
|
| 735 |
-
"epoch": 2.2120080436656133,
|
| 736 |
-
"grad_norm": 6.016995906829834,
|
| 737 |
-
"learning_rate": 1.5647443263430048e-05,
|
| 738 |
-
"loss": 0.9619,
|
| 739 |
-
"step": 7700
|
| 740 |
-
},
|
| 741 |
-
{
|
| 742 |
-
"epoch": 2.2407354208560757,
|
| 743 |
-
"grad_norm": 4.525808811187744,
|
| 744 |
-
"learning_rate": 1.53960787130135e-05,
|
| 745 |
-
"loss": 0.9508,
|
| 746 |
-
"step": 7800
|
| 747 |
-
},
|
| 748 |
-
{
|
| 749 |
-
"epoch": 2.2694627980465385,
|
| 750 |
-
"grad_norm": 6.449229717254639,
|
| 751 |
-
"learning_rate": 1.5144714162596954e-05,
|
| 752 |
-
"loss": 1.0076,
|
| 753 |
-
"step": 7900
|
| 754 |
-
},
|
| 755 |
-
{
|
| 756 |
-
"epoch": 2.298190175237001,
|
| 757 |
-
"grad_norm": 5.163827419281006,
|
| 758 |
-
"learning_rate": 1.4893349612180407e-05,
|
| 759 |
-
"loss": 0.9704,
|
| 760 |
-
"step": 8000
|
| 761 |
-
},
|
| 762 |
-
{
|
| 763 |
-
"epoch": 2.298190175237001,
|
| 764 |
-
"eval_bleu": 44.871701979454734,
|
| 765 |
-
"eval_chrf": 69.5808210141665,
|
| 766 |
-
"eval_loss": 1.0056633949279785,
|
| 767 |
-
"eval_runtime": 99.6577,
|
| 768 |
-
"eval_samples_per_second": 8.188,
|
| 769 |
-
"eval_steps_per_second": 1.024,
|
| 770 |
-
"step": 8000
|
| 771 |
-
},
|
| 772 |
-
{
|
| 773 |
-
"epoch": 2.3269175524274632,
|
| 774 |
-
"grad_norm": 5.531907081604004,
|
| 775 |
-
"learning_rate": 1.4641985061763859e-05,
|
| 776 |
-
"loss": 1.0062,
|
| 777 |
-
"step": 8100
|
| 778 |
-
},
|
| 779 |
-
{
|
| 780 |
-
"epoch": 2.355644929617926,
|
| 781 |
-
"grad_norm": 3.4357688426971436,
|
| 782 |
-
"learning_rate": 1.4390620511347313e-05,
|
| 783 |
-
"loss": 0.9495,
|
| 784 |
-
"step": 8200
|
| 785 |
-
},
|
| 786 |
-
{
|
| 787 |
-
"epoch": 2.3843723068083884,
|
| 788 |
-
"grad_norm": 4.002674102783203,
|
| 789 |
-
"learning_rate": 1.4139255960930766e-05,
|
| 790 |
-
"loss": 1.0155,
|
| 791 |
-
"step": 8300
|
| 792 |
-
},
|
| 793 |
-
{
|
| 794 |
-
"epoch": 2.4130996839988508,
|
| 795 |
-
"grad_norm": 4.969707489013672,
|
| 796 |
-
"learning_rate": 1.3887891410514218e-05,
|
| 797 |
-
"loss": 0.9888,
|
| 798 |
-
"step": 8400
|
| 799 |
-
},
|
| 800 |
-
{
|
| 801 |
-
"epoch": 2.4130996839988508,
|
| 802 |
-
"eval_bleu": 44.87312977165901,
|
| 803 |
-
"eval_chrf": 69.59913415031703,
|
| 804 |
-
"eval_loss": 1.0011674165725708,
|
| 805 |
-
"eval_runtime": 96.8255,
|
| 806 |
-
"eval_samples_per_second": 8.428,
|
| 807 |
-
"eval_steps_per_second": 1.053,
|
| 808 |
-
"step": 8400
|
| 809 |
-
},
|
| 810 |
-
{
|
| 811 |
-
"epoch": 2.4418270611893136,
|
| 812 |
-
"grad_norm": 4.432431221008301,
|
| 813 |
-
"learning_rate": 1.3636526860097672e-05,
|
| 814 |
-
"loss": 0.9735,
|
| 815 |
-
"step": 8500
|
| 816 |
-
},
|
| 817 |
-
{
|
| 818 |
-
"epoch": 2.470554438379776,
|
| 819 |
-
"grad_norm": 3.4303410053253174,
|
| 820 |
-
"learning_rate": 1.3385162309681125e-05,
|
| 821 |
-
"loss": 1.0241,
|
| 822 |
-
"step": 8600
|
| 823 |
-
},
|
| 824 |
-
{
|
| 825 |
-
"epoch": 2.4992818155702383,
|
| 826 |
-
"grad_norm": 6.358030796051025,
|
| 827 |
-
"learning_rate": 1.3133797759264577e-05,
|
| 828 |
-
"loss": 0.9798,
|
| 829 |
-
"step": 8700
|
| 830 |
-
},
|
| 831 |
-
{
|
| 832 |
-
"epoch": 2.5280091927607007,
|
| 833 |
-
"grad_norm": 3.427170991897583,
|
| 834 |
-
"learning_rate": 1.288243320884803e-05,
|
| 835 |
-
"loss": 0.9448,
|
| 836 |
-
"step": 8800
|
| 837 |
-
},
|
| 838 |
-
{
|
| 839 |
-
"epoch": 2.5280091927607007,
|
| 840 |
-
"eval_bleu": 45.198620007189945,
|
| 841 |
-
"eval_chrf": 69.6731219507204,
|
| 842 |
-
"eval_loss": 1.0011487007141113,
|
| 843 |
-
"eval_runtime": 96.2525,
|
| 844 |
-
"eval_samples_per_second": 8.478,
|
| 845 |
-
"eval_steps_per_second": 1.06,
|
| 846 |
-
"step": 8800
|
| 847 |
-
},
|
| 848 |
-
{
|
| 849 |
-
"epoch": 2.5567365699511635,
|
| 850 |
-
"grad_norm": 4.5513715744018555,
|
| 851 |
-
"learning_rate": 1.2631068658431484e-05,
|
| 852 |
-
"loss": 1.0314,
|
| 853 |
-
"step": 8900
|
| 854 |
-
},
|
| 855 |
-
{
|
| 856 |
-
"epoch": 2.585463947141626,
|
| 857 |
-
"grad_norm": 4.186106204986572,
|
| 858 |
-
"learning_rate": 1.2379704108014938e-05,
|
| 859 |
-
"loss": 1.0178,
|
| 860 |
-
"step": 9000
|
| 861 |
-
},
|
| 862 |
-
{
|
| 863 |
-
"epoch": 2.6141913243320882,
|
| 864 |
-
"grad_norm": 6.664104461669922,
|
| 865 |
-
"learning_rate": 1.2128339557598391e-05,
|
| 866 |
-
"loss": 0.9677,
|
| 867 |
-
"step": 9100
|
| 868 |
-
},
|
| 869 |
-
{
|
| 870 |
-
"epoch": 2.642918701522551,
|
| 871 |
-
"grad_norm": 4.591300964355469,
|
| 872 |
-
"learning_rate": 1.1876975007181843e-05,
|
| 873 |
-
"loss": 0.9438,
|
| 874 |
-
"step": 9200
|
| 875 |
-
},
|
| 876 |
-
{
|
| 877 |
-
"epoch": 2.642918701522551,
|
| 878 |
-
"eval_bleu": 45.157866699798426,
|
| 879 |
-
"eval_chrf": 69.66915651414561,
|
| 880 |
-
"eval_loss": 1.0011706352233887,
|
| 881 |
-
"eval_runtime": 96.261,
|
| 882 |
-
"eval_samples_per_second": 8.477,
|
| 883 |
-
"eval_steps_per_second": 1.06,
|
| 884 |
-
"step": 9200
|
| 885 |
-
},
|
| 886 |
-
{
|
| 887 |
-
"epoch": 2.6716460787130134,
|
| 888 |
-
"grad_norm": 3.8000681400299072,
|
| 889 |
-
"learning_rate": 1.1625610456765297e-05,
|
| 890 |
-
"loss": 0.9528,
|
| 891 |
-
"step": 9300
|
| 892 |
-
},
|
| 893 |
-
{
|
| 894 |
-
"epoch": 2.7003734559034758,
|
| 895 |
-
"grad_norm": 4.306599140167236,
|
| 896 |
-
"learning_rate": 1.137424590634875e-05,
|
| 897 |
-
"loss": 0.9654,
|
| 898 |
-
"step": 9400
|
| 899 |
-
},
|
| 900 |
-
{
|
| 901 |
-
"epoch": 2.7291008330939386,
|
| 902 |
-
"grad_norm": 2.658061981201172,
|
| 903 |
-
"learning_rate": 1.1122881355932202e-05,
|
| 904 |
-
"loss": 0.9606,
|
| 905 |
-
"step": 9500
|
| 906 |
-
},
|
| 907 |
-
{
|
| 908 |
-
"epoch": 2.757828210284401,
|
| 909 |
-
"grad_norm": 3.8488523960113525,
|
| 910 |
-
"learning_rate": 1.0871516805515656e-05,
|
| 911 |
-
"loss": 0.9975,
|
| 912 |
-
"step": 9600
|
| 913 |
-
},
|
| 914 |
-
{
|
| 915 |
-
"epoch": 2.757828210284401,
|
| 916 |
-
"eval_bleu": 45.270832494636274,
|
| 917 |
-
"eval_chrf": 69.71396054828098,
|
| 918 |
-
"eval_loss": 0.9907030463218689,
|
| 919 |
-
"eval_runtime": 95.5189,
|
| 920 |
-
"eval_samples_per_second": 8.543,
|
| 921 |
-
"eval_steps_per_second": 1.068,
|
| 922 |
-
"step": 9600
|
| 923 |
-
},
|
| 924 |
-
{
|
| 925 |
-
"epoch": 2.7865555874748633,
|
| 926 |
-
"grad_norm": 6.573736190795898,
|
| 927 |
-
"learning_rate": 1.062015225509911e-05,
|
| 928 |
-
"loss": 0.9221,
|
| 929 |
-
"step": 9700
|
| 930 |
-
},
|
| 931 |
-
{
|
| 932 |
-
"epoch": 2.815282964665326,
|
| 933 |
-
"grad_norm": 5.980939865112305,
|
| 934 |
-
"learning_rate": 1.0368787704682561e-05,
|
| 935 |
-
"loss": 0.9592,
|
| 936 |
-
"step": 9800
|
| 937 |
-
},
|
| 938 |
-
{
|
| 939 |
-
"epoch": 2.8440103418557885,
|
| 940 |
-
"grad_norm": 7.583348274230957,
|
| 941 |
-
"learning_rate": 1.0117423154266015e-05,
|
| 942 |
-
"loss": 1.0261,
|
| 943 |
-
"step": 9900
|
| 944 |
-
},
|
| 945 |
-
{
|
| 946 |
-
"epoch": 2.872737719046251,
|
| 947 |
-
"grad_norm": 4.932117938995361,
|
| 948 |
-
"learning_rate": 9.866058603849468e-06,
|
| 949 |
-
"loss": 0.9585,
|
| 950 |
-
"step": 10000
|
| 951 |
-
},
|
| 952 |
-
{
|
| 953 |
-
"epoch": 2.872737719046251,
|
| 954 |
-
"eval_bleu": 45.452688800881376,
|
| 955 |
-
"eval_chrf": 69.95442745584451,
|
| 956 |
-
"eval_loss": 0.994485080242157,
|
| 957 |
-
"eval_runtime": 95.7902,
|
| 958 |
-
"eval_samples_per_second": 8.519,
|
| 959 |
-
"eval_steps_per_second": 1.065,
|
| 960 |
-
"step": 10000
|
| 961 |
-
},
|
| 962 |
-
{
|
| 963 |
-
"epoch": 2.9014650962367137,
|
| 964 |
-
"grad_norm": 4.127469062805176,
|
| 965 |
-
"learning_rate": 9.61469405343292e-06,
|
| 966 |
-
"loss": 0.9333,
|
| 967 |
-
"step": 10100
|
| 968 |
-
},
|
| 969 |
-
{
|
| 970 |
-
"epoch": 2.930192473427176,
|
| 971 |
-
"grad_norm": 4.6181559562683105,
|
| 972 |
-
"learning_rate": 9.363329503016374e-06,
|
| 973 |
-
"loss": 0.8895,
|
| 974 |
-
"step": 10200
|
| 975 |
-
},
|
| 976 |
-
{
|
| 977 |
-
"epoch": 2.9589198506176384,
|
| 978 |
-
"grad_norm": 3.028794050216675,
|
| 979 |
-
"learning_rate": 9.111964952599827e-06,
|
| 980 |
-
"loss": 0.9395,
|
| 981 |
-
"step": 10300
|
| 982 |
-
},
|
| 983 |
-
{
|
| 984 |
-
"epoch": 2.987647227808101,
|
| 985 |
-
"grad_norm": 5.18999719619751,
|
| 986 |
-
"learning_rate": 8.86060040218328e-06,
|
| 987 |
-
"loss": 0.9686,
|
| 988 |
-
"step": 10400
|
| 989 |
-
},
|
| 990 |
-
{
|
| 991 |
-
"epoch": 2.987647227808101,
|
| 992 |
-
"eval_bleu": 45.433727848087464,
|
| 993 |
-
"eval_chrf": 69.79153825463808,
|
| 994 |
-
"eval_loss": 0.993137001991272,
|
| 995 |
-
"eval_runtime": 96.9358,
|
| 996 |
-
"eval_samples_per_second": 8.418,
|
| 997 |
-
"eval_steps_per_second": 1.052,
|
| 998 |
-
"step": 10400
|
| 999 |
}
|
| 1000 |
],
|
| 1001 |
"logging_steps": 100,
|
| 1002 |
-
"max_steps":
|
| 1003 |
"num_input_tokens_seen": 0,
|
| 1004 |
-
"num_train_epochs":
|
| 1005 |
"save_steps": 400,
|
| 1006 |
"stateful_callbacks": {
|
| 1007 |
"TrainerControl": {
|
|
@@ -1015,7 +445,7 @@
|
|
| 1015 |
"attributes": {}
|
| 1016 |
}
|
| 1017 |
},
|
| 1018 |
-
"total_flos":
|
| 1019 |
"train_batch_size": 8,
|
| 1020 |
"trial_name": null,
|
| 1021 |
"trial_params": null
|
|
|
|
| 2 |
"best_global_step": null,
|
| 3 |
"best_metric": null,
|
| 4 |
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 1.6236162361623616,
|
| 6 |
"eval_steps": 400,
|
| 7 |
+
"global_step": 4400,
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
| 11 |
"log_history": [
|
| 12 |
{
|
| 13 |
+
"epoch": 0.03690036900369004,
|
| 14 |
+
"grad_norm": 4.41992712020874,
|
| 15 |
+
"learning_rate": 3.926937269372694e-05,
|
| 16 |
+
"loss": 0.9291,
|
| 17 |
"step": 100
|
| 18 |
},
|
| 19 |
{
|
| 20 |
+
"epoch": 0.07380073800738007,
|
| 21 |
+
"grad_norm": 5.523387908935547,
|
| 22 |
+
"learning_rate": 3.853136531365314e-05,
|
| 23 |
+
"loss": 0.9121,
|
| 24 |
"step": 200
|
| 25 |
},
|
| 26 |
{
|
| 27 |
+
"epoch": 0.11070110701107011,
|
| 28 |
+
"grad_norm": 2.894198417663574,
|
| 29 |
+
"learning_rate": 3.779335793357934e-05,
|
| 30 |
+
"loss": 0.9451,
|
| 31 |
"step": 300
|
| 32 |
},
|
| 33 |
{
|
| 34 |
+
"epoch": 0.14760147601476015,
|
| 35 |
+
"grad_norm": 4.9876556396484375,
|
| 36 |
+
"learning_rate": 3.705535055350554e-05,
|
| 37 |
+
"loss": 0.92,
|
| 38 |
"step": 400
|
| 39 |
},
|
| 40 |
{
|
| 41 |
+
"epoch": 0.14760147601476015,
|
| 42 |
+
"eval_bleu": 46.2124538637683,
|
| 43 |
+
"eval_chrf": 70.20566598384819,
|
| 44 |
+
"eval_loss": 0.9659060835838318,
|
| 45 |
+
"eval_runtime": 96.6966,
|
| 46 |
+
"eval_samples_per_second": 8.439,
|
| 47 |
+
"eval_steps_per_second": 1.055,
|
| 48 |
"step": 400
|
| 49 |
},
|
| 50 |
{
|
| 51 |
+
"epoch": 0.18450184501845018,
|
| 52 |
+
"grad_norm": 3.176483631134033,
|
| 53 |
+
"learning_rate": 3.6317343173431734e-05,
|
| 54 |
+
"loss": 0.9031,
|
| 55 |
"step": 500
|
| 56 |
},
|
| 57 |
{
|
| 58 |
+
"epoch": 0.22140221402214022,
|
| 59 |
+
"grad_norm": 3.038796901702881,
|
| 60 |
+
"learning_rate": 3.5579335793357936e-05,
|
| 61 |
+
"loss": 0.9035,
|
| 62 |
"step": 600
|
| 63 |
},
|
| 64 |
{
|
| 65 |
+
"epoch": 0.25830258302583026,
|
| 66 |
+
"grad_norm": 10.56854248046875,
|
| 67 |
+
"learning_rate": 3.484132841328414e-05,
|
| 68 |
+
"loss": 0.8688,
|
| 69 |
"step": 700
|
| 70 |
},
|
| 71 |
{
|
| 72 |
+
"epoch": 0.2952029520295203,
|
| 73 |
+
"grad_norm": 4.877047538757324,
|
| 74 |
+
"learning_rate": 3.410332103321034e-05,
|
| 75 |
+
"loss": 1.0048,
|
| 76 |
"step": 800
|
| 77 |
},
|
| 78 |
{
|
| 79 |
+
"epoch": 0.2952029520295203,
|
| 80 |
+
"eval_bleu": 45.750715379330366,
|
| 81 |
+
"eval_chrf": 70.00797971045762,
|
| 82 |
+
"eval_loss": 0.962220311164856,
|
| 83 |
+
"eval_runtime": 96.7314,
|
| 84 |
+
"eval_samples_per_second": 8.436,
|
| 85 |
+
"eval_steps_per_second": 1.054,
|
| 86 |
"step": 800
|
| 87 |
},
|
| 88 |
{
|
| 89 |
+
"epoch": 0.33210332103321033,
|
| 90 |
+
"grad_norm": 5.688119888305664,
|
| 91 |
+
"learning_rate": 3.3365313653136534e-05,
|
| 92 |
+
"loss": 0.9146,
|
| 93 |
"step": 900
|
| 94 |
},
|
| 95 |
{
|
| 96 |
+
"epoch": 0.36900369003690037,
|
| 97 |
+
"grad_norm": 4.046717643737793,
|
| 98 |
+
"learning_rate": 3.2627306273062736e-05,
|
| 99 |
+
"loss": 0.906,
|
| 100 |
"step": 1000
|
| 101 |
},
|
| 102 |
{
|
| 103 |
+
"epoch": 0.4059040590405904,
|
| 104 |
+
"grad_norm": 4.171918869018555,
|
| 105 |
+
"learning_rate": 3.188929889298893e-05,
|
| 106 |
+
"loss": 0.9026,
|
| 107 |
"step": 1100
|
| 108 |
},
|
| 109 |
{
|
| 110 |
+
"epoch": 0.44280442804428044,
|
| 111 |
+
"grad_norm": 2.658325672149658,
|
| 112 |
+
"learning_rate": 3.115129151291513e-05,
|
| 113 |
+
"loss": 0.9634,
|
| 114 |
"step": 1200
|
| 115 |
},
|
| 116 |
{
|
| 117 |
+
"epoch": 0.44280442804428044,
|
| 118 |
+
"eval_bleu": 46.31749782940418,
|
| 119 |
+
"eval_chrf": 70.29647401157018,
|
| 120 |
+
"eval_loss": 0.9587263464927673,
|
| 121 |
+
"eval_runtime": 97.1058,
|
| 122 |
+
"eval_samples_per_second": 8.403,
|
| 123 |
+
"eval_steps_per_second": 1.05,
|
| 124 |
"step": 1200
|
| 125 |
},
|
| 126 |
{
|
| 127 |
+
"epoch": 0.4797047970479705,
|
| 128 |
+
"grad_norm": 2.7676937580108643,
|
| 129 |
+
"learning_rate": 3.041328413284133e-05,
|
| 130 |
+
"loss": 0.889,
|
| 131 |
"step": 1300
|
| 132 |
},
|
| 133 |
{
|
| 134 |
+
"epoch": 0.5166051660516605,
|
| 135 |
+
"grad_norm": 3.7263267040252686,
|
| 136 |
+
"learning_rate": 2.967527675276753e-05,
|
| 137 |
+
"loss": 0.9156,
|
| 138 |
"step": 1400
|
| 139 |
},
|
| 140 |
{
|
| 141 |
+
"epoch": 0.5535055350553506,
|
| 142 |
+
"grad_norm": 5.799243450164795,
|
| 143 |
+
"learning_rate": 2.893726937269373e-05,
|
| 144 |
+
"loss": 0.9631,
|
| 145 |
"step": 1500
|
| 146 |
},
|
| 147 |
{
|
| 148 |
+
"epoch": 0.5904059040590406,
|
| 149 |
+
"grad_norm": 3.508241653442383,
|
| 150 |
+
"learning_rate": 2.819926199261993e-05,
|
| 151 |
+
"loss": 0.9116,
|
| 152 |
"step": 1600
|
| 153 |
},
|
| 154 |
{
|
| 155 |
+
"epoch": 0.5904059040590406,
|
| 156 |
+
"eval_bleu": 46.58006412895955,
|
| 157 |
+
"eval_chrf": 70.4943624210968,
|
| 158 |
+
"eval_loss": 0.9491108655929565,
|
| 159 |
+
"eval_runtime": 96.8012,
|
| 160 |
+
"eval_samples_per_second": 8.43,
|
| 161 |
+
"eval_steps_per_second": 1.054,
|
| 162 |
"step": 1600
|
| 163 |
},
|
| 164 |
{
|
| 165 |
+
"epoch": 0.6273062730627307,
|
| 166 |
+
"grad_norm": 4.0949225425720215,
|
| 167 |
+
"learning_rate": 2.7461254612546128e-05,
|
| 168 |
+
"loss": 0.9217,
|
| 169 |
"step": 1700
|
| 170 |
},
|
| 171 |
{
|
| 172 |
+
"epoch": 0.6642066420664207,
|
| 173 |
+
"grad_norm": 4.698362827301025,
|
| 174 |
+
"learning_rate": 2.6723247232472326e-05,
|
| 175 |
+
"loss": 0.9627,
|
| 176 |
"step": 1800
|
| 177 |
},
|
| 178 |
{
|
| 179 |
+
"epoch": 0.7011070110701108,
|
| 180 |
+
"grad_norm": 3.4152214527130127,
|
| 181 |
+
"learning_rate": 2.5985239852398528e-05,
|
| 182 |
+
"loss": 0.9621,
|
| 183 |
"step": 1900
|
| 184 |
},
|
| 185 |
{
|
| 186 |
+
"epoch": 0.7380073800738007,
|
| 187 |
+
"grad_norm": 5.174529075622559,
|
| 188 |
+
"learning_rate": 2.5247232472324727e-05,
|
| 189 |
+
"loss": 0.9127,
|
| 190 |
"step": 2000
|
| 191 |
},
|
| 192 |
{
|
| 193 |
+
"epoch": 0.7380073800738007,
|
| 194 |
+
"eval_bleu": 46.23328341662156,
|
| 195 |
+
"eval_chrf": 70.4334392951765,
|
| 196 |
+
"eval_loss": 0.9401571154594421,
|
| 197 |
+
"eval_runtime": 96.3896,
|
| 198 |
+
"eval_samples_per_second": 8.466,
|
| 199 |
+
"eval_steps_per_second": 1.058,
|
| 200 |
"step": 2000
|
| 201 |
},
|
| 202 |
{
|
| 203 |
+
"epoch": 0.7749077490774908,
|
| 204 |
+
"grad_norm": 4.145532608032227,
|
| 205 |
+
"learning_rate": 2.4509225092250925e-05,
|
| 206 |
+
"loss": 0.8737,
|
| 207 |
"step": 2100
|
| 208 |
},
|
| 209 |
{
|
| 210 |
+
"epoch": 0.8118081180811808,
|
| 211 |
+
"grad_norm": 3.2128381729125977,
|
| 212 |
+
"learning_rate": 2.3771217712177123e-05,
|
| 213 |
+
"loss": 0.8972,
|
| 214 |
"step": 2200
|
| 215 |
},
|
| 216 |
{
|
| 217 |
+
"epoch": 0.8487084870848709,
|
| 218 |
+
"grad_norm": 5.43286657333374,
|
| 219 |
+
"learning_rate": 2.3033210332103325e-05,
|
| 220 |
+
"loss": 0.9537,
|
| 221 |
"step": 2300
|
| 222 |
},
|
| 223 |
{
|
| 224 |
+
"epoch": 0.8856088560885609,
|
| 225 |
+
"grad_norm": 4.181277751922607,
|
| 226 |
+
"learning_rate": 2.2295202952029523e-05,
|
| 227 |
+
"loss": 0.9513,
|
| 228 |
"step": 2400
|
| 229 |
},
|
| 230 |
{
|
| 231 |
+
"epoch": 0.8856088560885609,
|
| 232 |
+
"eval_bleu": 46.62494660518371,
|
| 233 |
+
"eval_chrf": 70.75585572160985,
|
| 234 |
+
"eval_loss": 0.931623101234436,
|
| 235 |
+
"eval_runtime": 96.3421,
|
| 236 |
+
"eval_samples_per_second": 8.47,
|
| 237 |
+
"eval_steps_per_second": 1.059,
|
| 238 |
"step": 2400
|
| 239 |
},
|
| 240 |
{
|
| 241 |
+
"epoch": 0.922509225092251,
|
| 242 |
+
"grad_norm": 4.236485004425049,
|
| 243 |
+
"learning_rate": 2.1557195571955722e-05,
|
| 244 |
+
"loss": 0.912,
|
| 245 |
"step": 2500
|
| 246 |
},
|
| 247 |
{
|
| 248 |
+
"epoch": 0.959409594095941,
|
| 249 |
+
"grad_norm": 4.3563337326049805,
|
| 250 |
+
"learning_rate": 2.081918819188192e-05,
|
| 251 |
+
"loss": 0.9503,
|
| 252 |
"step": 2600
|
| 253 |
},
|
| 254 |
{
|
| 255 |
+
"epoch": 0.996309963099631,
|
| 256 |
+
"grad_norm": 3.8650689125061035,
|
| 257 |
+
"learning_rate": 2.0081180811808122e-05,
|
| 258 |
+
"loss": 0.8835,
|
| 259 |
"step": 2700
|
| 260 |
},
|
| 261 |
{
|
| 262 |
+
"epoch": 1.033210332103321,
|
| 263 |
+
"grad_norm": 4.865896224975586,
|
| 264 |
+
"learning_rate": 1.934317343173432e-05,
|
| 265 |
+
"loss": 0.9395,
|
| 266 |
"step": 2800
|
| 267 |
},
|
| 268 |
{
|
| 269 |
+
"epoch": 1.033210332103321,
|
| 270 |
+
"eval_bleu": 46.61705928386175,
|
| 271 |
+
"eval_chrf": 70.76885341204647,
|
| 272 |
+
"eval_loss": 0.9273455739021301,
|
| 273 |
+
"eval_runtime": 96.2367,
|
| 274 |
+
"eval_samples_per_second": 8.479,
|
| 275 |
+
"eval_steps_per_second": 1.06,
|
| 276 |
"step": 2800
|
| 277 |
},
|
| 278 |
{
|
| 279 |
+
"epoch": 1.070110701107011,
|
| 280 |
+
"grad_norm": 4.255625247955322,
|
| 281 |
+
"learning_rate": 1.8605166051660515e-05,
|
| 282 |
+
"loss": 0.925,
|
| 283 |
"step": 2900
|
| 284 |
},
|
| 285 |
{
|
| 286 |
+
"epoch": 1.1070110701107012,
|
| 287 |
+
"grad_norm": 3.4618682861328125,
|
| 288 |
+
"learning_rate": 1.7867158671586717e-05,
|
| 289 |
+
"loss": 0.8997,
|
| 290 |
"step": 3000
|
| 291 |
},
|
| 292 |
{
|
| 293 |
+
"epoch": 1.1439114391143912,
|
| 294 |
+
"grad_norm": 4.462490558624268,
|
| 295 |
+
"learning_rate": 1.7129151291512916e-05,
|
| 296 |
+
"loss": 0.9109,
|
| 297 |
"step": 3100
|
| 298 |
},
|
| 299 |
{
|
| 300 |
+
"epoch": 1.1808118081180812,
|
| 301 |
+
"grad_norm": 3.9228367805480957,
|
| 302 |
+
"learning_rate": 1.6391143911439117e-05,
|
| 303 |
+
"loss": 0.8899,
|
| 304 |
"step": 3200
|
| 305 |
},
|
| 306 |
{
|
| 307 |
+
"epoch": 1.1808118081180812,
|
| 308 |
+
"eval_bleu": 46.706846283749094,
|
| 309 |
+
"eval_chrf": 70.66405951179729,
|
| 310 |
+
"eval_loss": 0.9309074282646179,
|
| 311 |
+
"eval_runtime": 96.5614,
|
| 312 |
+
"eval_samples_per_second": 8.451,
|
| 313 |
+
"eval_steps_per_second": 1.056,
|
| 314 |
"step": 3200
|
| 315 |
},
|
| 316 |
{
|
| 317 |
+
"epoch": 1.2177121771217712,
|
| 318 |
+
"grad_norm": 4.034820556640625,
|
| 319 |
+
"learning_rate": 1.5653136531365312e-05,
|
| 320 |
+
"loss": 0.8508,
|
| 321 |
"step": 3300
|
| 322 |
},
|
| 323 |
{
|
| 324 |
+
"epoch": 1.2546125461254611,
|
| 325 |
+
"grad_norm": 3.396322011947632,
|
| 326 |
+
"learning_rate": 1.4915129151291514e-05,
|
| 327 |
+
"loss": 0.8776,
|
| 328 |
"step": 3400
|
| 329 |
},
|
| 330 |
{
|
| 331 |
+
"epoch": 1.2915129151291513,
|
| 332 |
+
"grad_norm": 7.144755840301514,
|
| 333 |
+
"learning_rate": 1.4177121771217713e-05,
|
| 334 |
+
"loss": 0.8599,
|
| 335 |
"step": 3500
|
| 336 |
},
|
| 337 |
{
|
| 338 |
+
"epoch": 1.3284132841328413,
|
| 339 |
+
"grad_norm": 3.339700937271118,
|
| 340 |
+
"learning_rate": 1.3439114391143913e-05,
|
| 341 |
+
"loss": 0.8638,
|
| 342 |
"step": 3600
|
| 343 |
},
|
| 344 |
{
|
| 345 |
+
"epoch": 1.3284132841328413,
|
| 346 |
+
"eval_bleu": 46.624919425579975,
|
| 347 |
+
"eval_chrf": 70.85748628309527,
|
| 348 |
+
"eval_loss": 0.9251583218574524,
|
| 349 |
+
"eval_runtime": 96.1672,
|
| 350 |
+
"eval_samples_per_second": 8.485,
|
| 351 |
+
"eval_steps_per_second": 1.061,
|
| 352 |
"step": 3600
|
| 353 |
},
|
| 354 |
{
|
| 355 |
+
"epoch": 1.3653136531365313,
|
| 356 |
+
"grad_norm": 3.8256001472473145,
|
| 357 |
+
"learning_rate": 1.2701107011070111e-05,
|
| 358 |
+
"loss": 0.8555,
|
| 359 |
"step": 3700
|
| 360 |
},
|
| 361 |
{
|
| 362 |
+
"epoch": 1.4022140221402215,
|
| 363 |
+
"grad_norm": 3.9691555500030518,
|
| 364 |
+
"learning_rate": 1.1963099630996311e-05,
|
| 365 |
+
"loss": 0.9664,
|
| 366 |
"step": 3800
|
| 367 |
},
|
| 368 |
{
|
| 369 |
+
"epoch": 1.4391143911439115,
|
| 370 |
+
"grad_norm": 3.3013808727264404,
|
| 371 |
+
"learning_rate": 1.122509225092251e-05,
|
| 372 |
+
"loss": 0.8878,
|
| 373 |
"step": 3900
|
| 374 |
},
|
| 375 |
{
|
| 376 |
+
"epoch": 1.4760147601476015,
|
| 377 |
+
"grad_norm": 2.8146023750305176,
|
| 378 |
+
"learning_rate": 1.048708487084871e-05,
|
| 379 |
+
"loss": 0.8244,
|
| 380 |
"step": 4000
|
| 381 |
},
|
| 382 |
{
|
| 383 |
+
"epoch": 1.4760147601476015,
|
| 384 |
+
"eval_bleu": 46.934667995761984,
|
| 385 |
+
"eval_chrf": 70.98538034968328,
|
| 386 |
+
"eval_loss": 0.9257907271385193,
|
| 387 |
+
"eval_runtime": 96.3505,
|
| 388 |
+
"eval_samples_per_second": 8.469,
|
| 389 |
+
"eval_steps_per_second": 1.059,
|
| 390 |
"step": 4000
|
| 391 |
},
|
| 392 |
{
|
| 393 |
+
"epoch": 1.5129151291512914,
|
| 394 |
+
"grad_norm": 3.6188437938690186,
|
| 395 |
+
"learning_rate": 9.749077490774908e-06,
|
| 396 |
+
"loss": 0.9188,
|
| 397 |
"step": 4100
|
| 398 |
},
|
| 399 |
{
|
| 400 |
+
"epoch": 1.5498154981549814,
|
| 401 |
+
"grad_norm": 3.578477621078491,
|
| 402 |
+
"learning_rate": 9.011070110701108e-06,
|
| 403 |
+
"loss": 0.9018,
|
| 404 |
"step": 4200
|
| 405 |
},
|
| 406 |
{
|
| 407 |
+
"epoch": 1.5867158671586716,
|
| 408 |
+
"grad_norm": 5.138524532318115,
|
| 409 |
+
"learning_rate": 8.273062730627306e-06,
|
| 410 |
+
"loss": 0.826,
|
| 411 |
"step": 4300
|
| 412 |
},
|
| 413 |
{
|
| 414 |
+
"epoch": 1.6236162361623616,
|
| 415 |
+
"grad_norm": 4.470804214477539,
|
| 416 |
+
"learning_rate": 7.5350553505535065e-06,
|
| 417 |
+
"loss": 0.8736,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 418 |
"step": 4400
|
| 419 |
},
|
| 420 |
{
|
| 421 |
+
"epoch": 1.6236162361623616,
|
| 422 |
+
"eval_bleu": 46.87049580619245,
|
| 423 |
+
"eval_chrf": 70.96854490395519,
|
| 424 |
+
"eval_loss": 0.9282872676849365,
|
| 425 |
+
"eval_runtime": 96.576,
|
| 426 |
+
"eval_samples_per_second": 8.449,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 427 |
"eval_steps_per_second": 1.056,
|
| 428 |
+
"step": 4400
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 429 |
}
|
| 430 |
],
|
| 431 |
"logging_steps": 100,
|
| 432 |
+
"max_steps": 5420,
|
| 433 |
"num_input_tokens_seen": 0,
|
| 434 |
+
"num_train_epochs": 2,
|
| 435 |
"save_steps": 400,
|
| 436 |
"stateful_callbacks": {
|
| 437 |
"TrainerControl": {
|
|
|
|
| 445 |
"attributes": {}
|
| 446 |
}
|
| 447 |
},
|
| 448 |
+
"total_flos": 1.20506497892352e+16,
|
| 449 |
"train_batch_size": 8,
|
| 450 |
"trial_name": null,
|
| 451 |
"trial_params": null
|
last-checkpoint/training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5905
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3c7095dd3f16a053228927e43b0533849042f7097c1f117a57fdb94e71d9c4e7
|
| 3 |
size 5905
|