Upload folder using huggingface_hub
Browse files- model.safetensors +0 -3
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- tokenizer.json +2 -2
- trainer_state.json +819 -1527
- training_args.bin +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:a03b2ce91ceab3d848e78ff1b76b74dd35ce5147b452c9292df7245c1aa088fb
|
| 3 |
-
size 1192135096
|
|
|
|
|
|
|
|
|
|
|
|
rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9196a1e708bf24d6abba41cce3f8558820acc3e50f9394c5955e29eb41ffea3d
|
| 3 |
+
size 14244
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:badda73606807bdb5725e7e75013fdd1ead0f2a3f2f29bd131bb02292e40d7f2
|
| 3 |
+
size 1064
|
tokenizer.json
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
|
| 3 |
+
size 11422654
|
trainer_state.json
CHANGED
|
@@ -1,2141 +1,1433 @@
|
|
| 1 |
{
|
| 2 |
-
"best_global_step":
|
| 3 |
-
"best_metric":
|
| 4 |
-
"best_model_checkpoint": "output/reasoning-
|
| 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,
|
| 11 |
"log_history": [
|
| 12 |
{
|
| 13 |
-
"epoch": 0.
|
| 14 |
-
"grad_norm":
|
| 15 |
-
"learning_rate":
|
| 16 |
-
"loss":
|
| 17 |
"step": 5
|
| 18 |
},
|
| 19 |
{
|
| 20 |
-
"epoch": 0.
|
| 21 |
-
"grad_norm":
|
| 22 |
-
"learning_rate":
|
| 23 |
-
"loss": 1.
|
| 24 |
"step": 10
|
| 25 |
},
|
| 26 |
{
|
| 27 |
-
"epoch": 0.
|
| 28 |
-
"grad_norm":
|
| 29 |
-
"learning_rate":
|
| 30 |
-
"loss":
|
| 31 |
"step": 15
|
| 32 |
},
|
| 33 |
{
|
| 34 |
-
"epoch": 0.
|
| 35 |
-
"grad_norm": 9.
|
| 36 |
-
"learning_rate":
|
| 37 |
-
"loss":
|
| 38 |
"step": 20
|
| 39 |
},
|
| 40 |
{
|
| 41 |
-
"epoch": 0.
|
| 42 |
-
"grad_norm":
|
| 43 |
-
"learning_rate":
|
| 44 |
-
"loss":
|
| 45 |
"step": 25
|
| 46 |
},
|
| 47 |
{
|
| 48 |
-
"epoch": 0.
|
| 49 |
-
"grad_norm":
|
| 50 |
-
"learning_rate":
|
| 51 |
-
"loss":
|
| 52 |
"step": 30
|
| 53 |
},
|
| 54 |
{
|
| 55 |
-
"epoch": 0.
|
| 56 |
-
"grad_norm":
|
| 57 |
-
"learning_rate":
|
| 58 |
-
"loss":
|
| 59 |
"step": 35
|
| 60 |
},
|
| 61 |
{
|
| 62 |
-
"epoch": 0.
|
| 63 |
-
"grad_norm":
|
| 64 |
-
"learning_rate":
|
| 65 |
-
"loss":
|
| 66 |
"step": 40
|
| 67 |
},
|
| 68 |
{
|
| 69 |
-
"epoch": 0.
|
| 70 |
-
"grad_norm":
|
| 71 |
-
"learning_rate":
|
| 72 |
-
"loss":
|
| 73 |
"step": 45
|
| 74 |
},
|
| 75 |
{
|
| 76 |
-
"epoch": 0.
|
| 77 |
-
"grad_norm": 7.
|
| 78 |
-
"learning_rate":
|
| 79 |
-
"loss":
|
| 80 |
"step": 50
|
| 81 |
},
|
| 82 |
{
|
| 83 |
-
"epoch": 0.
|
| 84 |
-
"grad_norm":
|
| 85 |
-
"learning_rate":
|
| 86 |
-
"loss":
|
| 87 |
"step": 55
|
| 88 |
},
|
| 89 |
{
|
| 90 |
-
"epoch": 0.
|
| 91 |
-
"grad_norm":
|
| 92 |
-
"learning_rate":
|
| 93 |
-
"loss":
|
| 94 |
"step": 60
|
| 95 |
},
|
| 96 |
{
|
| 97 |
-
"epoch": 0.
|
| 98 |
-
"grad_norm":
|
| 99 |
-
"learning_rate":
|
| 100 |
-
"loss":
|
| 101 |
"step": 65
|
| 102 |
},
|
| 103 |
{
|
| 104 |
-
"epoch": 0.
|
| 105 |
-
"grad_norm":
|
| 106 |
-
"learning_rate":
|
| 107 |
-
"loss":
|
| 108 |
"step": 70
|
| 109 |
},
|
| 110 |
{
|
| 111 |
-
"epoch": 0.
|
| 112 |
-
"grad_norm":
|
| 113 |
-
"learning_rate":
|
| 114 |
-
"loss":
|
| 115 |
"step": 75
|
| 116 |
},
|
| 117 |
{
|
| 118 |
-
"epoch": 0.
|
| 119 |
-
"grad_norm":
|
| 120 |
-
"learning_rate":
|
| 121 |
-
"loss": 1.
|
| 122 |
"step": 80
|
| 123 |
},
|
| 124 |
{
|
| 125 |
-
"epoch": 0.
|
| 126 |
-
"grad_norm":
|
| 127 |
-
"learning_rate":
|
| 128 |
-
"loss":
|
| 129 |
"step": 85
|
| 130 |
},
|
| 131 |
{
|
| 132 |
-
"epoch": 0.
|
| 133 |
-
"grad_norm":
|
| 134 |
-
"learning_rate":
|
| 135 |
-
"loss":
|
| 136 |
"step": 90
|
| 137 |
},
|
| 138 |
{
|
| 139 |
-
"epoch": 0.
|
| 140 |
-
"grad_norm":
|
| 141 |
-
"learning_rate":
|
| 142 |
-
"loss":
|
| 143 |
"step": 95
|
| 144 |
},
|
| 145 |
{
|
| 146 |
-
"epoch": 0.
|
| 147 |
-
"grad_norm":
|
| 148 |
-
"learning_rate":
|
| 149 |
-
"loss":
|
| 150 |
"step": 100
|
| 151 |
},
|
| 152 |
{
|
| 153 |
-
"epoch": 0.
|
| 154 |
-
"grad_norm":
|
| 155 |
-
"learning_rate":
|
| 156 |
-
"loss": 1.
|
| 157 |
"step": 105
|
| 158 |
},
|
| 159 |
{
|
| 160 |
-
"epoch": 0.
|
| 161 |
-
"grad_norm":
|
| 162 |
-
"learning_rate":
|
| 163 |
-
"loss":
|
| 164 |
"step": 110
|
| 165 |
},
|
| 166 |
{
|
| 167 |
-
"epoch": 0.
|
| 168 |
-
"grad_norm":
|
| 169 |
-
"learning_rate":
|
| 170 |
-
"loss":
|
| 171 |
"step": 115
|
| 172 |
},
|
| 173 |
{
|
| 174 |
-
"epoch": 0.
|
| 175 |
-
"grad_norm":
|
| 176 |
-
"learning_rate":
|
| 177 |
-
"loss":
|
| 178 |
"step": 120
|
| 179 |
},
|
| 180 |
{
|
| 181 |
-
"epoch": 0.
|
| 182 |
-
"grad_norm":
|
| 183 |
-
"learning_rate":
|
| 184 |
-
"loss":
|
| 185 |
"step": 125
|
| 186 |
},
|
| 187 |
{
|
| 188 |
-
"epoch": 0.
|
| 189 |
-
"grad_norm":
|
| 190 |
-
"learning_rate":
|
| 191 |
-
"loss":
|
| 192 |
"step": 130
|
| 193 |
},
|
| 194 |
{
|
| 195 |
-
"epoch": 0.
|
| 196 |
-
"grad_norm":
|
| 197 |
-
"learning_rate":
|
| 198 |
-
"loss":
|
| 199 |
"step": 135
|
| 200 |
},
|
| 201 |
{
|
| 202 |
-
"epoch": 0.
|
| 203 |
-
"grad_norm":
|
| 204 |
-
"learning_rate":
|
| 205 |
-
"loss":
|
| 206 |
"step": 140
|
| 207 |
},
|
| 208 |
{
|
| 209 |
-
"epoch": 0.
|
| 210 |
-
"grad_norm": 5.
|
| 211 |
-
"learning_rate":
|
| 212 |
-
"loss":
|
| 213 |
"step": 145
|
| 214 |
},
|
| 215 |
{
|
| 216 |
-
"epoch": 0.
|
| 217 |
-
"grad_norm":
|
| 218 |
-
"learning_rate":
|
| 219 |
-
"loss":
|
| 220 |
"step": 150
|
| 221 |
},
|
| 222 |
{
|
| 223 |
-
"epoch": 0.
|
| 224 |
-
"grad_norm":
|
| 225 |
-
"learning_rate":
|
| 226 |
-
"loss":
|
| 227 |
"step": 155
|
| 228 |
},
|
| 229 |
{
|
| 230 |
-
"epoch": 0.
|
| 231 |
-
"grad_norm":
|
| 232 |
-
"learning_rate":
|
| 233 |
-
"loss":
|
| 234 |
"step": 160
|
| 235 |
},
|
| 236 |
{
|
| 237 |
-
"epoch": 0.
|
| 238 |
-
"grad_norm":
|
| 239 |
-
"learning_rate": 1.
|
| 240 |
-
"loss":
|
| 241 |
"step": 165
|
| 242 |
},
|
| 243 |
{
|
| 244 |
-
"epoch": 0.
|
| 245 |
-
"grad_norm":
|
| 246 |
-
"learning_rate": 1.
|
| 247 |
-
"loss":
|
| 248 |
"step": 170
|
| 249 |
},
|
| 250 |
{
|
| 251 |
-
"epoch": 0.
|
| 252 |
-
"grad_norm": 6.
|
| 253 |
-
"learning_rate": 1.
|
| 254 |
-
"loss":
|
| 255 |
"step": 175
|
| 256 |
},
|
| 257 |
{
|
| 258 |
-
"epoch": 0.
|
| 259 |
-
"grad_norm":
|
| 260 |
-
"learning_rate": 1.
|
| 261 |
-
"loss":
|
| 262 |
"step": 180
|
| 263 |
},
|
| 264 |
{
|
| 265 |
-
"epoch": 0.
|
| 266 |
-
"grad_norm":
|
| 267 |
-
"learning_rate": 1.
|
| 268 |
-
"loss":
|
| 269 |
"step": 185
|
| 270 |
},
|
| 271 |
{
|
| 272 |
-
"epoch": 0.
|
| 273 |
-
"grad_norm":
|
| 274 |
-
"learning_rate": 1.
|
| 275 |
-
"loss":
|
| 276 |
"step": 190
|
| 277 |
},
|
| 278 |
{
|
| 279 |
-
"epoch": 0.
|
| 280 |
-
"grad_norm":
|
| 281 |
-
"learning_rate": 1.
|
| 282 |
-
"loss":
|
| 283 |
"step": 195
|
| 284 |
},
|
| 285 |
{
|
| 286 |
-
"epoch": 0.
|
| 287 |
-
"grad_norm":
|
| 288 |
-
"learning_rate": 1.
|
| 289 |
-
"loss":
|
| 290 |
"step": 200
|
| 291 |
},
|
| 292 |
{
|
| 293 |
-
"epoch": 0.
|
| 294 |
-
"grad_norm":
|
| 295 |
-
"learning_rate": 1.
|
| 296 |
-
"loss":
|
| 297 |
"step": 205
|
| 298 |
},
|
| 299 |
{
|
| 300 |
-
"epoch": 0.
|
| 301 |
-
"grad_norm":
|
| 302 |
-
"learning_rate": 1.
|
| 303 |
-
"loss":
|
| 304 |
"step": 210
|
| 305 |
},
|
| 306 |
{
|
| 307 |
-
"epoch": 0.
|
| 308 |
-
"grad_norm":
|
| 309 |
-
"learning_rate": 1.
|
| 310 |
-
"loss": 1.
|
| 311 |
"step": 215
|
| 312 |
},
|
| 313 |
{
|
| 314 |
-
"epoch": 0.
|
| 315 |
-
"grad_norm":
|
| 316 |
-
"learning_rate": 1.
|
| 317 |
-
"loss":
|
| 318 |
"step": 220
|
| 319 |
},
|
| 320 |
{
|
| 321 |
-
"epoch": 0.
|
| 322 |
-
"grad_norm":
|
| 323 |
-
"learning_rate": 1.
|
| 324 |
-
"loss": 0.
|
| 325 |
"step": 225
|
| 326 |
},
|
| 327 |
{
|
| 328 |
-
"epoch": 0.
|
| 329 |
-
"grad_norm": 5
|
| 330 |
-
"learning_rate": 1.
|
| 331 |
-
"loss":
|
| 332 |
"step": 230
|
| 333 |
},
|
| 334 |
{
|
| 335 |
-
"epoch": 0.
|
| 336 |
-
"grad_norm":
|
| 337 |
-
"learning_rate": 1.
|
| 338 |
-
"loss":
|
| 339 |
"step": 235
|
| 340 |
},
|
| 341 |
{
|
| 342 |
-
"epoch": 0.
|
| 343 |
-
"grad_norm":
|
| 344 |
-
"learning_rate": 1.
|
| 345 |
-
"loss":
|
| 346 |
"step": 240
|
| 347 |
},
|
| 348 |
{
|
| 349 |
-
"epoch": 0.
|
| 350 |
-
"grad_norm":
|
| 351 |
-
"learning_rate": 1.
|
| 352 |
-
"loss":
|
| 353 |
"step": 245
|
| 354 |
},
|
| 355 |
{
|
| 356 |
-
"epoch": 0.
|
| 357 |
-
"grad_norm":
|
| 358 |
-
"learning_rate": 1.
|
| 359 |
-
"loss":
|
| 360 |
"step": 250
|
| 361 |
},
|
| 362 |
{
|
| 363 |
-
"epoch": 0.
|
| 364 |
-
"grad_norm":
|
| 365 |
-
"learning_rate": 1.
|
| 366 |
-
"loss":
|
| 367 |
"step": 255
|
| 368 |
},
|
| 369 |
{
|
| 370 |
-
"epoch": 0.
|
| 371 |
-
"grad_norm":
|
| 372 |
-
"learning_rate": 1.
|
| 373 |
-
"loss":
|
| 374 |
"step": 260
|
| 375 |
},
|
| 376 |
{
|
| 377 |
-
"epoch": 0.
|
| 378 |
-
"grad_norm":
|
| 379 |
-
"learning_rate": 1.
|
| 380 |
-
"loss":
|
| 381 |
"step": 265
|
| 382 |
},
|
| 383 |
{
|
| 384 |
-
"epoch": 0.
|
| 385 |
-
"grad_norm":
|
| 386 |
-
"learning_rate": 1.
|
| 387 |
-
"loss":
|
| 388 |
"step": 270
|
| 389 |
},
|
| 390 |
{
|
| 391 |
-
"epoch": 0.
|
| 392 |
-
"grad_norm":
|
| 393 |
-
"learning_rate": 1.
|
| 394 |
-
"loss":
|
| 395 |
"step": 275
|
| 396 |
},
|
| 397 |
{
|
| 398 |
-
"epoch": 0.
|
| 399 |
-
"grad_norm":
|
| 400 |
-
"learning_rate": 1.
|
| 401 |
-
"loss":
|
| 402 |
"step": 280
|
| 403 |
},
|
| 404 |
{
|
| 405 |
-
"epoch": 0.
|
| 406 |
-
"grad_norm": 5.
|
| 407 |
-
"learning_rate": 1.
|
| 408 |
-
"loss": 0.
|
| 409 |
"step": 285
|
| 410 |
},
|
| 411 |
{
|
| 412 |
-
"epoch": 0.
|
| 413 |
-
"grad_norm":
|
| 414 |
-
"learning_rate": 1.
|
| 415 |
-
"loss":
|
| 416 |
"step": 290
|
| 417 |
},
|
| 418 |
{
|
| 419 |
-
"epoch": 0.
|
| 420 |
-
"grad_norm":
|
| 421 |
-
"learning_rate": 1.
|
| 422 |
-
"loss":
|
| 423 |
"step": 295
|
| 424 |
},
|
| 425 |
{
|
| 426 |
-
"epoch": 0.
|
| 427 |
-
"grad_norm":
|
| 428 |
-
"learning_rate": 1.
|
| 429 |
-
"loss":
|
| 430 |
"step": 300
|
| 431 |
},
|
| 432 |
{
|
| 433 |
-
"epoch": 0.
|
| 434 |
-
"grad_norm":
|
| 435 |
-
"learning_rate": 1.
|
| 436 |
-
"loss":
|
| 437 |
"step": 305
|
| 438 |
},
|
| 439 |
{
|
| 440 |
-
"epoch": 0.
|
| 441 |
-
"grad_norm":
|
| 442 |
-
"learning_rate": 1.
|
| 443 |
-
"loss":
|
| 444 |
"step": 310
|
| 445 |
},
|
| 446 |
{
|
| 447 |
-
"epoch": 0.
|
| 448 |
-
"grad_norm":
|
| 449 |
-
"learning_rate": 1.
|
| 450 |
-
"loss":
|
| 451 |
"step": 315
|
| 452 |
},
|
| 453 |
{
|
| 454 |
-
"epoch": 0.
|
| 455 |
-
"grad_norm":
|
| 456 |
-
"learning_rate": 1.
|
| 457 |
-
"loss": 1.
|
| 458 |
"step": 320
|
| 459 |
},
|
| 460 |
{
|
| 461 |
-
"epoch": 0.
|
| 462 |
-
"grad_norm":
|
| 463 |
-
"learning_rate": 1.
|
| 464 |
-
"loss":
|
| 465 |
"step": 325
|
| 466 |
},
|
| 467 |
{
|
| 468 |
-
"epoch": 0.
|
| 469 |
-
"grad_norm":
|
| 470 |
-
"learning_rate": 1.
|
| 471 |
-
"loss": 0.
|
| 472 |
"step": 330
|
| 473 |
},
|
| 474 |
{
|
| 475 |
-
"epoch": 0.
|
| 476 |
-
"grad_norm":
|
| 477 |
-
"learning_rate": 1.
|
| 478 |
-
"loss":
|
| 479 |
"step": 335
|
| 480 |
},
|
| 481 |
{
|
| 482 |
-
"epoch": 0.
|
| 483 |
-
"grad_norm":
|
| 484 |
-
"learning_rate": 1.
|
| 485 |
-
"loss":
|
| 486 |
"step": 340
|
| 487 |
},
|
| 488 |
{
|
| 489 |
-
"epoch": 0.
|
| 490 |
-
"grad_norm":
|
| 491 |
-
"learning_rate": 1.
|
| 492 |
-
"loss":
|
| 493 |
"step": 345
|
| 494 |
},
|
| 495 |
{
|
| 496 |
-
"epoch": 0.
|
| 497 |
-
"grad_norm":
|
| 498 |
-
"learning_rate": 1.
|
| 499 |
-
"loss":
|
| 500 |
"step": 350
|
| 501 |
},
|
| 502 |
{
|
| 503 |
-
"epoch": 0.
|
| 504 |
-
"grad_norm":
|
| 505 |
-
"learning_rate": 1.
|
| 506 |
-
"loss":
|
| 507 |
"step": 355
|
| 508 |
},
|
| 509 |
{
|
| 510 |
-
"epoch": 0.
|
| 511 |
-
"grad_norm":
|
| 512 |
-
"learning_rate": 1.
|
| 513 |
-
"loss":
|
| 514 |
"step": 360
|
| 515 |
},
|
| 516 |
{
|
| 517 |
-
"epoch": 0.
|
| 518 |
-
"grad_norm":
|
| 519 |
-
"learning_rate": 1.
|
| 520 |
-
"loss":
|
| 521 |
"step": 365
|
| 522 |
},
|
| 523 |
{
|
| 524 |
-
"epoch": 0.
|
| 525 |
-
"grad_norm":
|
| 526 |
-
"learning_rate": 1.
|
| 527 |
-
"loss":
|
| 528 |
"step": 370
|
| 529 |
},
|
| 530 |
{
|
| 531 |
-
"epoch": 0.
|
| 532 |
-
"grad_norm":
|
| 533 |
-
"learning_rate": 1.
|
| 534 |
-
"loss":
|
| 535 |
"step": 375
|
| 536 |
},
|
| 537 |
{
|
| 538 |
-
"epoch": 0.
|
| 539 |
-
"grad_norm":
|
| 540 |
-
"learning_rate": 1.
|
| 541 |
-
"loss":
|
| 542 |
"step": 380
|
| 543 |
},
|
| 544 |
{
|
| 545 |
-
"epoch": 0.
|
| 546 |
-
"grad_norm":
|
| 547 |
-
"learning_rate": 1.
|
| 548 |
-
"loss":
|
| 549 |
"step": 385
|
| 550 |
},
|
| 551 |
{
|
| 552 |
-
"epoch": 0.
|
| 553 |
-
"grad_norm":
|
| 554 |
-
"learning_rate": 1.
|
| 555 |
-
"loss":
|
| 556 |
"step": 390
|
| 557 |
},
|
| 558 |
{
|
| 559 |
-
"epoch": 0.
|
| 560 |
-
"grad_norm":
|
| 561 |
-
"learning_rate": 1.
|
| 562 |
-
"loss":
|
| 563 |
"step": 395
|
| 564 |
},
|
| 565 |
{
|
| 566 |
-
"epoch": 0.
|
| 567 |
-
"grad_norm":
|
| 568 |
-
"learning_rate": 1.
|
| 569 |
-
"loss":
|
| 570 |
"step": 400
|
| 571 |
},
|
| 572 |
{
|
| 573 |
-
"epoch": 0.
|
| 574 |
-
"grad_norm":
|
| 575 |
-
"learning_rate": 1.
|
| 576 |
-
"loss":
|
| 577 |
"step": 405
|
| 578 |
},
|
| 579 |
{
|
| 580 |
-
"epoch": 0.
|
| 581 |
-
"grad_norm":
|
| 582 |
-
"learning_rate": 1.
|
| 583 |
-
"loss":
|
| 584 |
"step": 410
|
| 585 |
},
|
| 586 |
{
|
| 587 |
-
"epoch": 0.
|
| 588 |
-
"grad_norm": 5
|
| 589 |
-
"learning_rate": 1.
|
| 590 |
-
"loss":
|
| 591 |
"step": 415
|
| 592 |
},
|
| 593 |
{
|
| 594 |
-
"epoch": 0.
|
| 595 |
-
"grad_norm":
|
| 596 |
-
"learning_rate": 1.
|
| 597 |
-
"loss":
|
| 598 |
"step": 420
|
| 599 |
},
|
| 600 |
{
|
| 601 |
-
"epoch": 0.
|
| 602 |
-
"grad_norm":
|
| 603 |
-
"learning_rate": 1.
|
| 604 |
-
"loss":
|
| 605 |
"step": 425
|
| 606 |
},
|
| 607 |
{
|
| 608 |
-
"epoch": 0.
|
| 609 |
-
"grad_norm":
|
| 610 |
-
"learning_rate": 1.
|
| 611 |
-
"loss":
|
| 612 |
"step": 430
|
| 613 |
},
|
| 614 |
{
|
| 615 |
-
"epoch": 0.
|
| 616 |
-
"grad_norm":
|
| 617 |
-
"learning_rate": 1.
|
| 618 |
-
"loss":
|
| 619 |
"step": 435
|
| 620 |
},
|
| 621 |
{
|
| 622 |
-
"epoch": 0.
|
| 623 |
-
"grad_norm":
|
| 624 |
-
"learning_rate": 1.
|
| 625 |
-
"loss":
|
| 626 |
"step": 440
|
| 627 |
},
|
| 628 |
{
|
| 629 |
-
"epoch": 0.
|
| 630 |
-
"grad_norm":
|
| 631 |
-
"learning_rate": 1.
|
| 632 |
-
"loss":
|
| 633 |
"step": 445
|
| 634 |
},
|
| 635 |
{
|
| 636 |
-
"epoch": 0.
|
| 637 |
-
"grad_norm": 7.
|
| 638 |
-
"learning_rate": 1.
|
| 639 |
-
"loss": 1.
|
| 640 |
"step": 450
|
| 641 |
},
|
| 642 |
{
|
| 643 |
-
"epoch": 0.
|
| 644 |
-
"grad_norm":
|
| 645 |
-
"learning_rate": 1.
|
| 646 |
-
"loss":
|
| 647 |
"step": 455
|
| 648 |
},
|
| 649 |
{
|
| 650 |
-
"epoch": 0.
|
| 651 |
-
"grad_norm":
|
| 652 |
-
"learning_rate": 1.
|
| 653 |
-
"loss":
|
| 654 |
"step": 460
|
| 655 |
},
|
| 656 |
{
|
| 657 |
-
"epoch": 0.
|
| 658 |
-
"grad_norm":
|
| 659 |
-
"learning_rate": 1.
|
| 660 |
-
"loss":
|
| 661 |
"step": 465
|
| 662 |
},
|
| 663 |
{
|
| 664 |
-
"epoch": 0.
|
| 665 |
-
"grad_norm":
|
| 666 |
-
"learning_rate": 1.
|
| 667 |
-
"loss":
|
| 668 |
"step": 470
|
| 669 |
},
|
| 670 |
{
|
| 671 |
-
"epoch": 0.
|
| 672 |
-
"grad_norm":
|
| 673 |
-
"learning_rate": 1.
|
| 674 |
-
"loss": 1.
|
| 675 |
"step": 475
|
| 676 |
},
|
| 677 |
{
|
| 678 |
-
"epoch": 0.
|
| 679 |
-
"grad_norm":
|
| 680 |
-
"learning_rate": 1.
|
| 681 |
-
"loss":
|
| 682 |
"step": 480
|
| 683 |
},
|
| 684 |
{
|
| 685 |
-
"epoch": 0.
|
| 686 |
-
"grad_norm":
|
| 687 |
-
"learning_rate": 1.
|
| 688 |
-
"loss":
|
| 689 |
"step": 485
|
| 690 |
},
|
| 691 |
{
|
| 692 |
-
"epoch": 0.
|
| 693 |
-
"grad_norm":
|
| 694 |
-
"learning_rate": 1.
|
| 695 |
-
"loss":
|
| 696 |
"step": 490
|
| 697 |
},
|
| 698 |
{
|
| 699 |
-
"epoch": 0.
|
| 700 |
-
"grad_norm":
|
| 701 |
-
"learning_rate": 1.
|
| 702 |
-
"loss":
|
| 703 |
"step": 495
|
| 704 |
},
|
| 705 |
{
|
| 706 |
-
"epoch": 0.
|
| 707 |
-
"grad_norm":
|
| 708 |
-
"learning_rate": 1.
|
| 709 |
-
"loss":
|
| 710 |
"step": 500
|
| 711 |
},
|
| 712 |
{
|
| 713 |
-
"epoch": 0.
|
| 714 |
-
"eval_loss":
|
| 715 |
-
"eval_runtime":
|
| 716 |
-
"eval_samples_per_second": 20.
|
| 717 |
-
"eval_steps_per_second": 2.
|
| 718 |
"step": 500
|
| 719 |
},
|
| 720 |
{
|
| 721 |
-
"epoch": 0.
|
| 722 |
-
"grad_norm":
|
| 723 |
-
"learning_rate": 1.
|
| 724 |
-
"loss":
|
| 725 |
"step": 505
|
| 726 |
},
|
| 727 |
{
|
| 728 |
-
"epoch": 0.
|
| 729 |
-
"grad_norm":
|
| 730 |
-
"learning_rate": 1.
|
| 731 |
-
"loss":
|
| 732 |
"step": 510
|
| 733 |
},
|
| 734 |
{
|
| 735 |
-
"epoch": 0.
|
| 736 |
-
"grad_norm":
|
| 737 |
-
"learning_rate": 1.
|
| 738 |
-
"loss":
|
| 739 |
"step": 515
|
| 740 |
},
|
| 741 |
{
|
| 742 |
-
"epoch": 0.
|
| 743 |
-
"grad_norm":
|
| 744 |
-
"learning_rate": 1.
|
| 745 |
-
"loss":
|
| 746 |
"step": 520
|
| 747 |
},
|
| 748 |
{
|
| 749 |
-
"epoch": 0.
|
| 750 |
-
"grad_norm":
|
| 751 |
-
"learning_rate": 1.
|
| 752 |
-
"loss":
|
| 753 |
"step": 525
|
| 754 |
},
|
| 755 |
{
|
| 756 |
-
"epoch": 0.
|
| 757 |
-
"grad_norm":
|
| 758 |
-
"learning_rate": 1.
|
| 759 |
-
"loss":
|
| 760 |
"step": 530
|
| 761 |
},
|
| 762 |
{
|
| 763 |
-
"epoch": 0.
|
| 764 |
-
"grad_norm":
|
| 765 |
-
"learning_rate": 1.
|
| 766 |
-
"loss":
|
| 767 |
"step": 535
|
| 768 |
},
|
| 769 |
{
|
| 770 |
-
"epoch": 0.
|
| 771 |
-
"grad_norm":
|
| 772 |
-
"learning_rate": 1.
|
| 773 |
-
"loss":
|
| 774 |
"step": 540
|
| 775 |
},
|
| 776 |
{
|
| 777 |
-
"epoch": 0.
|
| 778 |
-
"grad_norm":
|
| 779 |
-
"learning_rate": 1.
|
| 780 |
-
"loss":
|
| 781 |
"step": 545
|
| 782 |
},
|
| 783 |
{
|
| 784 |
-
"epoch": 0.
|
| 785 |
-
"grad_norm":
|
| 786 |
-
"learning_rate": 1.
|
| 787 |
-
"loss":
|
| 788 |
"step": 550
|
| 789 |
},
|
| 790 |
{
|
| 791 |
-
"epoch": 0.
|
| 792 |
-
"grad_norm":
|
| 793 |
-
"learning_rate": 1.
|
| 794 |
-
"loss":
|
| 795 |
"step": 555
|
| 796 |
},
|
| 797 |
{
|
| 798 |
-
"epoch": 0.
|
| 799 |
-
"grad_norm":
|
| 800 |
-
"learning_rate": 1.
|
| 801 |
-
"loss": 0.
|
| 802 |
"step": 560
|
| 803 |
},
|
| 804 |
{
|
| 805 |
-
"epoch": 0.
|
| 806 |
-
"grad_norm":
|
| 807 |
-
"learning_rate": 1.
|
| 808 |
-
"loss":
|
| 809 |
"step": 565
|
| 810 |
},
|
| 811 |
{
|
| 812 |
-
"epoch": 0.
|
| 813 |
-
"grad_norm":
|
| 814 |
-
"learning_rate": 1.
|
| 815 |
-
"loss":
|
| 816 |
"step": 570
|
| 817 |
},
|
| 818 |
{
|
| 819 |
-
"epoch": 0.
|
| 820 |
-
"grad_norm":
|
| 821 |
-
"learning_rate": 1.
|
| 822 |
-
"loss": 0.
|
| 823 |
"step": 575
|
| 824 |
},
|
| 825 |
{
|
| 826 |
-
"epoch": 0.
|
| 827 |
-
"grad_norm":
|
| 828 |
-
"learning_rate": 1.
|
| 829 |
-
"loss":
|
| 830 |
"step": 580
|
| 831 |
},
|
| 832 |
{
|
| 833 |
-
"epoch": 0.
|
| 834 |
-
"grad_norm":
|
| 835 |
-
"learning_rate": 1.
|
| 836 |
-
"loss":
|
| 837 |
"step": 585
|
| 838 |
},
|
| 839 |
{
|
| 840 |
-
"epoch": 0.
|
| 841 |
-
"grad_norm":
|
| 842 |
-
"learning_rate": 1.
|
| 843 |
-
"loss":
|
| 844 |
"step": 590
|
| 845 |
},
|
| 846 |
{
|
| 847 |
-
"epoch": 0.
|
| 848 |
-
"grad_norm":
|
| 849 |
-
"learning_rate": 1.
|
| 850 |
-
"loss":
|
| 851 |
"step": 595
|
| 852 |
},
|
| 853 |
{
|
| 854 |
-
"epoch": 0.
|
| 855 |
-
"grad_norm":
|
| 856 |
-
"learning_rate": 1.
|
| 857 |
-
"loss":
|
| 858 |
"step": 600
|
| 859 |
},
|
| 860 |
{
|
| 861 |
-
"epoch": 0.
|
| 862 |
-
"grad_norm":
|
| 863 |
-
"learning_rate": 1.
|
| 864 |
-
"loss": 0.
|
| 865 |
"step": 605
|
| 866 |
},
|
| 867 |
{
|
| 868 |
-
"epoch": 0.
|
| 869 |
-
"grad_norm":
|
| 870 |
-
"learning_rate": 1.
|
| 871 |
-
"loss":
|
| 872 |
"step": 610
|
| 873 |
},
|
| 874 |
{
|
| 875 |
-
"epoch": 0.
|
| 876 |
-
"grad_norm":
|
| 877 |
-
"learning_rate": 1.
|
| 878 |
-
"loss":
|
| 879 |
"step": 615
|
| 880 |
},
|
| 881 |
{
|
| 882 |
-
"epoch": 0.
|
| 883 |
-
"grad_norm":
|
| 884 |
-
"learning_rate": 1.
|
| 885 |
-
"loss":
|
| 886 |
"step": 620
|
| 887 |
},
|
| 888 |
{
|
| 889 |
-
"epoch": 0.
|
| 890 |
-
"grad_norm":
|
| 891 |
-
"learning_rate": 1.
|
| 892 |
-
"loss":
|
| 893 |
"step": 625
|
| 894 |
},
|
| 895 |
{
|
| 896 |
-
"epoch": 0.
|
| 897 |
-
"grad_norm":
|
| 898 |
-
"learning_rate": 1.
|
| 899 |
-
"loss": 0.
|
| 900 |
"step": 630
|
| 901 |
},
|
| 902 |
{
|
| 903 |
-
"epoch": 0.
|
| 904 |
-
"grad_norm":
|
| 905 |
-
"learning_rate": 1.
|
| 906 |
-
"loss":
|
| 907 |
"step": 635
|
| 908 |
},
|
| 909 |
{
|
| 910 |
-
"epoch": 0.
|
| 911 |
-
"grad_norm":
|
| 912 |
-
"learning_rate": 1.
|
| 913 |
-
"loss":
|
| 914 |
"step": 640
|
| 915 |
},
|
| 916 |
{
|
| 917 |
-
"epoch": 0.
|
| 918 |
-
"grad_norm":
|
| 919 |
-
"learning_rate": 1.
|
| 920 |
-
"loss":
|
| 921 |
"step": 645
|
| 922 |
},
|
| 923 |
{
|
| 924 |
-
"epoch": 0.
|
| 925 |
-
"grad_norm":
|
| 926 |
-
"learning_rate": 1.
|
| 927 |
-
"loss":
|
| 928 |
"step": 650
|
| 929 |
},
|
| 930 |
{
|
| 931 |
-
"epoch": 0.
|
| 932 |
-
"grad_norm":
|
| 933 |
-
"learning_rate": 1.
|
| 934 |
-
"loss":
|
| 935 |
"step": 655
|
| 936 |
},
|
| 937 |
{
|
| 938 |
-
"epoch": 0.
|
| 939 |
-
"grad_norm":
|
| 940 |
-
"learning_rate": 1.
|
| 941 |
-
"loss":
|
| 942 |
"step": 660
|
| 943 |
},
|
| 944 |
{
|
| 945 |
-
"epoch": 0.
|
| 946 |
-
"grad_norm":
|
| 947 |
-
"learning_rate": 1.
|
| 948 |
-
"loss":
|
| 949 |
"step": 665
|
| 950 |
},
|
| 951 |
{
|
| 952 |
-
"epoch": 0.
|
| 953 |
-
"grad_norm":
|
| 954 |
-
"learning_rate": 1.
|
| 955 |
-
"loss": 0.
|
| 956 |
"step": 670
|
| 957 |
},
|
| 958 |
{
|
| 959 |
-
"epoch": 0.
|
| 960 |
-
"grad_norm":
|
| 961 |
-
"learning_rate": 1.
|
| 962 |
-
"loss":
|
| 963 |
"step": 675
|
| 964 |
},
|
| 965 |
{
|
| 966 |
-
"epoch": 0.
|
| 967 |
-
"grad_norm":
|
| 968 |
-
"learning_rate": 1.
|
| 969 |
-
"loss":
|
| 970 |
"step": 680
|
| 971 |
},
|
| 972 |
{
|
| 973 |
-
"epoch": 0.
|
| 974 |
-
"grad_norm":
|
| 975 |
-
"learning_rate": 1.
|
| 976 |
-
"loss":
|
| 977 |
"step": 685
|
| 978 |
},
|
| 979 |
{
|
| 980 |
-
"epoch": 0.
|
| 981 |
-
"grad_norm":
|
| 982 |
-
"learning_rate": 1.
|
| 983 |
-
"loss":
|
| 984 |
"step": 690
|
| 985 |
},
|
| 986 |
{
|
| 987 |
-
"epoch": 0.
|
| 988 |
-
"grad_norm":
|
| 989 |
-
"learning_rate": 1.
|
| 990 |
-
"loss":
|
| 991 |
"step": 695
|
| 992 |
},
|
| 993 |
{
|
| 994 |
-
"epoch": 0.
|
| 995 |
-
"grad_norm":
|
| 996 |
-
"learning_rate": 1.
|
| 997 |
-
"loss":
|
| 998 |
"step": 700
|
| 999 |
},
|
| 1000 |
{
|
| 1001 |
-
"epoch": 0.
|
| 1002 |
-
"grad_norm":
|
| 1003 |
-
"learning_rate": 1.
|
| 1004 |
-
"loss":
|
| 1005 |
"step": 705
|
| 1006 |
},
|
| 1007 |
{
|
| 1008 |
-
"epoch": 0.
|
| 1009 |
-
"grad_norm":
|
| 1010 |
-
"learning_rate": 1.
|
| 1011 |
-
"loss":
|
| 1012 |
"step": 710
|
| 1013 |
},
|
| 1014 |
{
|
| 1015 |
-
"epoch": 0.
|
| 1016 |
-
"grad_norm":
|
| 1017 |
-
"learning_rate": 1.
|
| 1018 |
-
"loss":
|
| 1019 |
"step": 715
|
| 1020 |
},
|
| 1021 |
{
|
| 1022 |
-
"epoch": 0.
|
| 1023 |
-
"grad_norm":
|
| 1024 |
-
"learning_rate": 1.
|
| 1025 |
-
"loss":
|
| 1026 |
"step": 720
|
| 1027 |
},
|
| 1028 |
{
|
| 1029 |
-
"epoch": 0.
|
| 1030 |
-
"grad_norm":
|
| 1031 |
-
"learning_rate": 1.
|
| 1032 |
-
"loss":
|
| 1033 |
"step": 725
|
| 1034 |
},
|
| 1035 |
{
|
| 1036 |
-
"epoch": 0.
|
| 1037 |
-
"grad_norm":
|
| 1038 |
-
"learning_rate": 1.
|
| 1039 |
-
"loss":
|
| 1040 |
"step": 730
|
| 1041 |
},
|
| 1042 |
{
|
| 1043 |
-
"epoch": 0.
|
| 1044 |
-
"grad_norm":
|
| 1045 |
-
"learning_rate": 1.
|
| 1046 |
-
"loss":
|
| 1047 |
"step": 735
|
| 1048 |
},
|
| 1049 |
{
|
| 1050 |
-
"epoch": 0.
|
| 1051 |
-
"grad_norm":
|
| 1052 |
-
"learning_rate": 1.
|
| 1053 |
-
"loss":
|
| 1054 |
"step": 740
|
| 1055 |
},
|
| 1056 |
{
|
| 1057 |
-
"epoch": 0.
|
| 1058 |
-
"grad_norm":
|
| 1059 |
-
"learning_rate": 1.
|
| 1060 |
-
"loss": 0.
|
| 1061 |
"step": 745
|
| 1062 |
},
|
| 1063 |
{
|
| 1064 |
-
"epoch": 0.
|
| 1065 |
-
"grad_norm":
|
| 1066 |
-
"learning_rate": 1.
|
| 1067 |
-
"loss":
|
| 1068 |
"step": 750
|
| 1069 |
},
|
| 1070 |
{
|
| 1071 |
-
"epoch": 0.
|
| 1072 |
-
"grad_norm":
|
| 1073 |
-
"learning_rate": 1.
|
| 1074 |
-
"loss":
|
| 1075 |
"step": 755
|
| 1076 |
},
|
| 1077 |
{
|
| 1078 |
-
"epoch": 0.
|
| 1079 |
-
"grad_norm":
|
| 1080 |
-
"learning_rate": 1.
|
| 1081 |
-
"loss":
|
| 1082 |
"step": 760
|
| 1083 |
},
|
| 1084 |
{
|
| 1085 |
-
"epoch": 0.
|
| 1086 |
-
"grad_norm":
|
| 1087 |
-
"learning_rate": 1.
|
| 1088 |
-
"loss":
|
| 1089 |
"step": 765
|
| 1090 |
},
|
| 1091 |
{
|
| 1092 |
-
"epoch": 0.
|
| 1093 |
-
"grad_norm":
|
| 1094 |
-
"learning_rate": 1.
|
| 1095 |
-
"loss":
|
| 1096 |
"step": 770
|
| 1097 |
},
|
| 1098 |
{
|
| 1099 |
-
"epoch": 0.
|
| 1100 |
-
"grad_norm":
|
| 1101 |
-
"learning_rate": 1.
|
| 1102 |
-
"loss":
|
| 1103 |
"step": 775
|
| 1104 |
},
|
| 1105 |
{
|
| 1106 |
-
"epoch": 0.
|
| 1107 |
-
"grad_norm":
|
| 1108 |
-
"learning_rate": 1.
|
| 1109 |
-
"loss":
|
| 1110 |
"step": 780
|
| 1111 |
},
|
| 1112 |
{
|
| 1113 |
-
"epoch": 0.
|
| 1114 |
-
"grad_norm":
|
| 1115 |
-
"learning_rate": 1.
|
| 1116 |
-
"loss": 0.
|
| 1117 |
"step": 785
|
| 1118 |
},
|
| 1119 |
{
|
| 1120 |
-
"epoch": 0.
|
| 1121 |
-
"grad_norm":
|
| 1122 |
-
"learning_rate": 1.
|
| 1123 |
-
"loss":
|
| 1124 |
"step": 790
|
| 1125 |
},
|
| 1126 |
{
|
| 1127 |
-
"epoch": 0.
|
| 1128 |
-
"grad_norm":
|
| 1129 |
-
"learning_rate": 1.
|
| 1130 |
-
"loss":
|
| 1131 |
"step": 795
|
| 1132 |
},
|
| 1133 |
{
|
| 1134 |
-
"epoch": 0.
|
| 1135 |
-
"grad_norm":
|
| 1136 |
-
"learning_rate": 1.
|
| 1137 |
-
"loss": 0.
|
| 1138 |
"step": 800
|
| 1139 |
},
|
| 1140 |
{
|
| 1141 |
-
"epoch": 0.
|
| 1142 |
-
"grad_norm":
|
| 1143 |
-
"learning_rate": 1.
|
| 1144 |
-
"loss":
|
| 1145 |
"step": 805
|
| 1146 |
},
|
| 1147 |
{
|
| 1148 |
-
"epoch": 0.
|
| 1149 |
-
"grad_norm":
|
| 1150 |
-
"learning_rate": 1.
|
| 1151 |
-
"loss":
|
| 1152 |
"step": 810
|
| 1153 |
},
|
| 1154 |
{
|
| 1155 |
-
"epoch": 0.
|
| 1156 |
-
"grad_norm":
|
| 1157 |
-
"learning_rate": 1.
|
| 1158 |
-
"loss":
|
| 1159 |
"step": 815
|
| 1160 |
},
|
| 1161 |
{
|
| 1162 |
-
"epoch": 0.
|
| 1163 |
-
"grad_norm":
|
| 1164 |
-
"learning_rate": 1.
|
| 1165 |
-
"loss":
|
| 1166 |
"step": 820
|
| 1167 |
},
|
| 1168 |
{
|
| 1169 |
-
"epoch": 0.
|
| 1170 |
-
"grad_norm":
|
| 1171 |
-
"learning_rate": 1.
|
| 1172 |
-
"loss":
|
| 1173 |
"step": 825
|
| 1174 |
},
|
| 1175 |
{
|
| 1176 |
-
"epoch": 0.
|
| 1177 |
-
"grad_norm":
|
| 1178 |
-
"learning_rate": 1.
|
| 1179 |
-
"loss":
|
| 1180 |
"step": 830
|
| 1181 |
},
|
| 1182 |
{
|
| 1183 |
-
"epoch": 0.
|
| 1184 |
-
"grad_norm":
|
| 1185 |
-
"learning_rate": 1.
|
| 1186 |
-
"loss":
|
| 1187 |
"step": 835
|
| 1188 |
},
|
| 1189 |
{
|
| 1190 |
-
"epoch": 0.
|
| 1191 |
-
"grad_norm":
|
| 1192 |
-
"learning_rate": 1.
|
| 1193 |
-
"loss": 0.
|
| 1194 |
"step": 840
|
| 1195 |
},
|
| 1196 |
{
|
| 1197 |
-
"epoch": 0.
|
| 1198 |
-
"grad_norm":
|
| 1199 |
-
"learning_rate": 1.
|
| 1200 |
-
"loss":
|
| 1201 |
"step": 845
|
| 1202 |
},
|
| 1203 |
{
|
| 1204 |
-
"epoch": 0.
|
| 1205 |
-
"grad_norm":
|
| 1206 |
-
"learning_rate": 1.
|
| 1207 |
-
"loss":
|
| 1208 |
"step": 850
|
| 1209 |
},
|
| 1210 |
{
|
| 1211 |
-
"epoch": 0.
|
| 1212 |
-
"grad_norm":
|
| 1213 |
-
"learning_rate": 1.
|
| 1214 |
-
"loss": 0.
|
| 1215 |
"step": 855
|
| 1216 |
},
|
| 1217 |
{
|
| 1218 |
-
"epoch": 0.
|
| 1219 |
-
"grad_norm": 5
|
| 1220 |
-
"learning_rate": 1.
|
| 1221 |
-
"loss": 0.
|
| 1222 |
"step": 860
|
| 1223 |
},
|
| 1224 |
{
|
| 1225 |
-
"epoch": 0.
|
| 1226 |
-
"grad_norm":
|
| 1227 |
-
"learning_rate": 1.
|
| 1228 |
-
"loss":
|
| 1229 |
"step": 865
|
| 1230 |
},
|
| 1231 |
{
|
| 1232 |
-
"epoch": 0.
|
| 1233 |
-
"grad_norm":
|
| 1234 |
-
"learning_rate": 1.
|
| 1235 |
-
"loss": 0.
|
| 1236 |
"step": 870
|
| 1237 |
},
|
| 1238 |
{
|
| 1239 |
-
"epoch": 0.
|
| 1240 |
-
"grad_norm":
|
| 1241 |
-
"learning_rate": 1.
|
| 1242 |
-
"loss":
|
| 1243 |
"step": 875
|
| 1244 |
},
|
| 1245 |
{
|
| 1246 |
-
"epoch": 0.
|
| 1247 |
-
"grad_norm":
|
| 1248 |
-
"learning_rate": 1.
|
| 1249 |
-
"loss": 0.
|
| 1250 |
"step": 880
|
| 1251 |
},
|
| 1252 |
{
|
| 1253 |
-
"epoch": 0.
|
| 1254 |
-
"grad_norm":
|
| 1255 |
-
"learning_rate": 1.
|
| 1256 |
-
"loss": 0.
|
| 1257 |
"step": 885
|
| 1258 |
},
|
| 1259 |
{
|
| 1260 |
-
"epoch": 0.
|
| 1261 |
-
"grad_norm":
|
| 1262 |
-
"learning_rate": 1.
|
| 1263 |
-
"loss":
|
| 1264 |
"step": 890
|
| 1265 |
},
|
| 1266 |
{
|
| 1267 |
-
"epoch": 0.
|
| 1268 |
-
"grad_norm":
|
| 1269 |
-
"learning_rate": 1.
|
| 1270 |
-
"loss":
|
| 1271 |
"step": 895
|
| 1272 |
},
|
| 1273 |
{
|
| 1274 |
-
"epoch": 0.
|
| 1275 |
-
"grad_norm":
|
| 1276 |
-
"learning_rate": 1.
|
| 1277 |
-
"loss":
|
| 1278 |
"step": 900
|
| 1279 |
},
|
| 1280 |
{
|
| 1281 |
-
"epoch": 0.
|
| 1282 |
-
"grad_norm":
|
| 1283 |
-
"learning_rate": 1.
|
| 1284 |
-
"loss":
|
| 1285 |
"step": 905
|
| 1286 |
},
|
| 1287 |
{
|
| 1288 |
-
"epoch": 0.
|
| 1289 |
-
"grad_norm":
|
| 1290 |
-
"learning_rate": 1.
|
| 1291 |
-
"loss":
|
| 1292 |
"step": 910
|
| 1293 |
},
|
| 1294 |
{
|
| 1295 |
-
"epoch": 0.
|
| 1296 |
-
"grad_norm":
|
| 1297 |
-
"learning_rate": 1.
|
| 1298 |
-
"loss":
|
| 1299 |
"step": 915
|
| 1300 |
},
|
| 1301 |
{
|
| 1302 |
-
"epoch": 0.
|
| 1303 |
-
"grad_norm": 6.
|
| 1304 |
-
"learning_rate": 1.
|
| 1305 |
-
"loss":
|
| 1306 |
"step": 920
|
| 1307 |
},
|
| 1308 |
{
|
| 1309 |
-
"epoch": 0.
|
| 1310 |
-
"grad_norm":
|
| 1311 |
-
"learning_rate": 1.
|
| 1312 |
-
"loss":
|
| 1313 |
"step": 925
|
| 1314 |
},
|
| 1315 |
{
|
| 1316 |
-
"epoch": 0.
|
| 1317 |
-
"grad_norm":
|
| 1318 |
-
"learning_rate": 1.
|
| 1319 |
-
"loss":
|
| 1320 |
"step": 930
|
| 1321 |
},
|
| 1322 |
{
|
| 1323 |
-
"epoch": 0.
|
| 1324 |
-
"grad_norm":
|
| 1325 |
-
"learning_rate": 1.
|
| 1326 |
-
"loss": 0.
|
| 1327 |
"step": 935
|
| 1328 |
},
|
| 1329 |
{
|
| 1330 |
-
"epoch": 0.
|
| 1331 |
-
"grad_norm":
|
| 1332 |
-
"learning_rate": 1.
|
| 1333 |
-
"loss": 0.
|
| 1334 |
"step": 940
|
| 1335 |
},
|
| 1336 |
{
|
| 1337 |
-
"epoch": 0.
|
| 1338 |
-
"grad_norm":
|
| 1339 |
-
"learning_rate": 1.
|
| 1340 |
-
"loss": 1.
|
| 1341 |
"step": 945
|
| 1342 |
},
|
| 1343 |
{
|
| 1344 |
-
"epoch": 0.
|
| 1345 |
-
"grad_norm":
|
| 1346 |
-
"learning_rate": 1.
|
| 1347 |
-
"loss":
|
| 1348 |
"step": 950
|
| 1349 |
},
|
| 1350 |
{
|
| 1351 |
-
"epoch": 0.
|
| 1352 |
-
"grad_norm":
|
| 1353 |
-
"learning_rate": 1.
|
| 1354 |
-
"loss": 0.
|
| 1355 |
"step": 955
|
| 1356 |
},
|
| 1357 |
{
|
| 1358 |
-
"epoch": 0.
|
| 1359 |
-
"grad_norm":
|
| 1360 |
-
"learning_rate": 1.
|
| 1361 |
-
"loss":
|
| 1362 |
"step": 960
|
| 1363 |
},
|
| 1364 |
{
|
| 1365 |
-
"epoch": 0.
|
| 1366 |
-
"grad_norm":
|
| 1367 |
-
"learning_rate": 1.
|
| 1368 |
-
"loss": 0.
|
| 1369 |
"step": 965
|
| 1370 |
},
|
| 1371 |
{
|
| 1372 |
-
"epoch": 0.
|
| 1373 |
-
"grad_norm":
|
| 1374 |
-
"learning_rate": 1.
|
| 1375 |
-
"loss":
|
| 1376 |
"step": 970
|
| 1377 |
},
|
| 1378 |
{
|
| 1379 |
-
"epoch": 0.
|
| 1380 |
-
"grad_norm":
|
| 1381 |
-
"learning_rate": 1.
|
| 1382 |
-
"loss":
|
| 1383 |
"step": 975
|
| 1384 |
},
|
| 1385 |
{
|
| 1386 |
-
"epoch": 0.
|
| 1387 |
-
"grad_norm":
|
| 1388 |
-
"learning_rate": 1.
|
| 1389 |
-
"loss":
|
| 1390 |
"step": 980
|
| 1391 |
},
|
| 1392 |
{
|
| 1393 |
-
"epoch": 0.
|
| 1394 |
-
"grad_norm":
|
| 1395 |
-
"learning_rate": 1.
|
| 1396 |
-
"loss":
|
| 1397 |
"step": 985
|
| 1398 |
},
|
| 1399 |
{
|
| 1400 |
-
"epoch": 0.
|
| 1401 |
-
"grad_norm":
|
| 1402 |
-
"learning_rate": 1.
|
| 1403 |
-
"loss": 0.
|
| 1404 |
"step": 990
|
| 1405 |
},
|
| 1406 |
{
|
| 1407 |
-
"epoch": 0.
|
| 1408 |
-
"grad_norm":
|
| 1409 |
-
"learning_rate": 1.
|
| 1410 |
-
"loss": 0.
|
| 1411 |
"step": 995
|
| 1412 |
},
|
| 1413 |
{
|
| 1414 |
-
"epoch": 0.
|
| 1415 |
-
"grad_norm":
|
| 1416 |
-
"learning_rate": 1.
|
| 1417 |
-
"loss": 0.
|
| 1418 |
"step": 1000
|
| 1419 |
},
|
| 1420 |
{
|
| 1421 |
-
"epoch": 0.
|
| 1422 |
-
"eval_loss":
|
| 1423 |
-
"eval_runtime":
|
| 1424 |
-
"eval_samples_per_second": 20.
|
| 1425 |
-
"eval_steps_per_second": 2.
|
| 1426 |
"step": 1000
|
| 1427 |
-
},
|
| 1428 |
-
{
|
| 1429 |
-
"epoch": 0.09285780282731221,
|
| 1430 |
-
"grad_norm": 4.375,
|
| 1431 |
-
"learning_rate": 1.9794268223403012e-05,
|
| 1432 |
-
"loss": 1.0233,
|
| 1433 |
-
"step": 1005
|
| 1434 |
-
},
|
| 1435 |
-
{
|
| 1436 |
-
"epoch": 0.09331978194585605,
|
| 1437 |
-
"grad_norm": 3.84375,
|
| 1438 |
-
"learning_rate": 1.9791237769661728e-05,
|
| 1439 |
-
"loss": 0.8371,
|
| 1440 |
-
"step": 1010
|
| 1441 |
-
},
|
| 1442 |
-
{
|
| 1443 |
-
"epoch": 0.0937817610643999,
|
| 1444 |
-
"grad_norm": 4.40625,
|
| 1445 |
-
"learning_rate": 1.978818539473009e-05,
|
| 1446 |
-
"loss": 1.0483,
|
| 1447 |
-
"step": 1015
|
| 1448 |
-
},
|
| 1449 |
-
{
|
| 1450 |
-
"epoch": 0.09424374018294374,
|
| 1451 |
-
"grad_norm": 4.625,
|
| 1452 |
-
"learning_rate": 1.9785111105441942e-05,
|
| 1453 |
-
"loss": 0.7854,
|
| 1454 |
-
"step": 1020
|
| 1455 |
-
},
|
| 1456 |
-
{
|
| 1457 |
-
"epoch": 0.09470571930148758,
|
| 1458 |
-
"grad_norm": 4.40625,
|
| 1459 |
-
"learning_rate": 1.9782014908680167e-05,
|
| 1460 |
-
"loss": 0.6771,
|
| 1461 |
-
"step": 1025
|
| 1462 |
-
},
|
| 1463 |
-
{
|
| 1464 |
-
"epoch": 0.09516769842003142,
|
| 1465 |
-
"grad_norm": 6.4375,
|
| 1466 |
-
"learning_rate": 1.977889681137672e-05,
|
| 1467 |
-
"loss": 0.7874,
|
| 1468 |
-
"step": 1030
|
| 1469 |
-
},
|
| 1470 |
-
{
|
| 1471 |
-
"epoch": 0.09562967753857525,
|
| 1472 |
-
"grad_norm": 6.4375,
|
| 1473 |
-
"learning_rate": 1.9775756820512574e-05,
|
| 1474 |
-
"loss": 0.9448,
|
| 1475 |
-
"step": 1035
|
| 1476 |
-
},
|
| 1477 |
-
{
|
| 1478 |
-
"epoch": 0.09609165665711909,
|
| 1479 |
-
"grad_norm": 5.78125,
|
| 1480 |
-
"learning_rate": 1.9772594943117723e-05,
|
| 1481 |
-
"loss": 0.8937,
|
| 1482 |
-
"step": 1040
|
| 1483 |
-
},
|
| 1484 |
-
{
|
| 1485 |
-
"epoch": 0.09655363577566294,
|
| 1486 |
-
"grad_norm": 6.03125,
|
| 1487 |
-
"learning_rate": 1.9769411186271162e-05,
|
| 1488 |
-
"loss": 0.9173,
|
| 1489 |
-
"step": 1045
|
| 1490 |
-
},
|
| 1491 |
-
{
|
| 1492 |
-
"epoch": 0.09701561489420678,
|
| 1493 |
-
"grad_norm": 7.84375,
|
| 1494 |
-
"learning_rate": 1.976620555710087e-05,
|
| 1495 |
-
"loss": 0.8327,
|
| 1496 |
-
"step": 1050
|
| 1497 |
-
},
|
| 1498 |
-
{
|
| 1499 |
-
"epoch": 0.09747759401275062,
|
| 1500 |
-
"grad_norm": 4.28125,
|
| 1501 |
-
"learning_rate": 1.9762978062783793e-05,
|
| 1502 |
-
"loss": 0.7447,
|
| 1503 |
-
"step": 1055
|
| 1504 |
-
},
|
| 1505 |
-
{
|
| 1506 |
-
"epoch": 0.09793957313129446,
|
| 1507 |
-
"grad_norm": 4.53125,
|
| 1508 |
-
"learning_rate": 1.9759728710545836e-05,
|
| 1509 |
-
"loss": 0.7932,
|
| 1510 |
-
"step": 1060
|
| 1511 |
-
},
|
| 1512 |
-
{
|
| 1513 |
-
"epoch": 0.0984015522498383,
|
| 1514 |
-
"grad_norm": 5.21875,
|
| 1515 |
-
"learning_rate": 1.9756457507661833e-05,
|
| 1516 |
-
"loss": 0.8749,
|
| 1517 |
-
"step": 1065
|
| 1518 |
-
},
|
| 1519 |
-
{
|
| 1520 |
-
"epoch": 0.09886353136838215,
|
| 1521 |
-
"grad_norm": 5.6875,
|
| 1522 |
-
"learning_rate": 1.9753164461455548e-05,
|
| 1523 |
-
"loss": 0.7447,
|
| 1524 |
-
"step": 1070
|
| 1525 |
-
},
|
| 1526 |
-
{
|
| 1527 |
-
"epoch": 0.09932551048692599,
|
| 1528 |
-
"grad_norm": 5.375,
|
| 1529 |
-
"learning_rate": 1.974984957929964e-05,
|
| 1530 |
-
"loss": 0.7091,
|
| 1531 |
-
"step": 1075
|
| 1532 |
-
},
|
| 1533 |
-
{
|
| 1534 |
-
"epoch": 0.09978748960546983,
|
| 1535 |
-
"grad_norm": 4.65625,
|
| 1536 |
-
"learning_rate": 1.9746512868615656e-05,
|
| 1537 |
-
"loss": 0.9072,
|
| 1538 |
-
"step": 1080
|
| 1539 |
-
},
|
| 1540 |
-
{
|
| 1541 |
-
"epoch": 0.10024946872401368,
|
| 1542 |
-
"grad_norm": 4.5,
|
| 1543 |
-
"learning_rate": 1.9743154336874024e-05,
|
| 1544 |
-
"loss": 0.7947,
|
| 1545 |
-
"step": 1085
|
| 1546 |
-
},
|
| 1547 |
-
{
|
| 1548 |
-
"epoch": 0.10071144784255752,
|
| 1549 |
-
"grad_norm": 4.75,
|
| 1550 |
-
"learning_rate": 1.9739773991594017e-05,
|
| 1551 |
-
"loss": 0.9017,
|
| 1552 |
-
"step": 1090
|
| 1553 |
-
},
|
| 1554 |
-
{
|
| 1555 |
-
"epoch": 0.10117342696110136,
|
| 1556 |
-
"grad_norm": 5.21875,
|
| 1557 |
-
"learning_rate": 1.9736371840343745e-05,
|
| 1558 |
-
"loss": 0.7268,
|
| 1559 |
-
"step": 1095
|
| 1560 |
-
},
|
| 1561 |
-
{
|
| 1562 |
-
"epoch": 0.1016354060796452,
|
| 1563 |
-
"grad_norm": 5.34375,
|
| 1564 |
-
"learning_rate": 1.9732947890740143e-05,
|
| 1565 |
-
"loss": 0.7386,
|
| 1566 |
-
"step": 1100
|
| 1567 |
-
},
|
| 1568 |
-
{
|
| 1569 |
-
"epoch": 0.10209738519818905,
|
| 1570 |
-
"grad_norm": 5.4375,
|
| 1571 |
-
"learning_rate": 1.972950215044895e-05,
|
| 1572 |
-
"loss": 0.7445,
|
| 1573 |
-
"step": 1105
|
| 1574 |
-
},
|
| 1575 |
-
{
|
| 1576 |
-
"epoch": 0.10255936431673289,
|
| 1577 |
-
"grad_norm": 4.28125,
|
| 1578 |
-
"learning_rate": 1.9726034627184685e-05,
|
| 1579 |
-
"loss": 0.8159,
|
| 1580 |
-
"step": 1110
|
| 1581 |
-
},
|
| 1582 |
-
{
|
| 1583 |
-
"epoch": 0.10302134343527672,
|
| 1584 |
-
"grad_norm": 4.15625,
|
| 1585 |
-
"learning_rate": 1.9722545328710643e-05,
|
| 1586 |
-
"loss": 0.7683,
|
| 1587 |
-
"step": 1115
|
| 1588 |
-
},
|
| 1589 |
-
{
|
| 1590 |
-
"epoch": 0.10348332255382056,
|
| 1591 |
-
"grad_norm": 5.9375,
|
| 1592 |
-
"learning_rate": 1.971903426283887e-05,
|
| 1593 |
-
"loss": 0.9848,
|
| 1594 |
-
"step": 1120
|
| 1595 |
-
},
|
| 1596 |
-
{
|
| 1597 |
-
"epoch": 0.1039453016723644,
|
| 1598 |
-
"grad_norm": 4.9375,
|
| 1599 |
-
"learning_rate": 1.971550143743014e-05,
|
| 1600 |
-
"loss": 0.7591,
|
| 1601 |
-
"step": 1125
|
| 1602 |
-
},
|
| 1603 |
-
{
|
| 1604 |
-
"epoch": 0.10440728079090825,
|
| 1605 |
-
"grad_norm": 5.15625,
|
| 1606 |
-
"learning_rate": 1.971194686039394e-05,
|
| 1607 |
-
"loss": 0.7353,
|
| 1608 |
-
"step": 1130
|
| 1609 |
-
},
|
| 1610 |
-
{
|
| 1611 |
-
"epoch": 0.10486925990945209,
|
| 1612 |
-
"grad_norm": 5.25,
|
| 1613 |
-
"learning_rate": 1.9708370539688476e-05,
|
| 1614 |
-
"loss": 0.8047,
|
| 1615 |
-
"step": 1135
|
| 1616 |
-
},
|
| 1617 |
-
{
|
| 1618 |
-
"epoch": 0.10533123902799593,
|
| 1619 |
-
"grad_norm": 4.625,
|
| 1620 |
-
"learning_rate": 1.9704772483320616e-05,
|
| 1621 |
-
"loss": 0.8734,
|
| 1622 |
-
"step": 1140
|
| 1623 |
-
},
|
| 1624 |
-
{
|
| 1625 |
-
"epoch": 0.10579321814653977,
|
| 1626 |
-
"grad_norm": 4.59375,
|
| 1627 |
-
"learning_rate": 1.9701152699345898e-05,
|
| 1628 |
-
"loss": 1.0071,
|
| 1629 |
-
"step": 1145
|
| 1630 |
-
},
|
| 1631 |
-
{
|
| 1632 |
-
"epoch": 0.10625519726508362,
|
| 1633 |
-
"grad_norm": 6.4375,
|
| 1634 |
-
"learning_rate": 1.9697511195868504e-05,
|
| 1635 |
-
"loss": 0.9231,
|
| 1636 |
-
"step": 1150
|
| 1637 |
-
},
|
| 1638 |
-
{
|
| 1639 |
-
"epoch": 0.10671717638362746,
|
| 1640 |
-
"grad_norm": 4.375,
|
| 1641 |
-
"learning_rate": 1.969384798104124e-05,
|
| 1642 |
-
"loss": 0.7658,
|
| 1643 |
-
"step": 1155
|
| 1644 |
-
},
|
| 1645 |
-
{
|
| 1646 |
-
"epoch": 0.1071791555021713,
|
| 1647 |
-
"grad_norm": 4.65625,
|
| 1648 |
-
"learning_rate": 1.9690163063065532e-05,
|
| 1649 |
-
"loss": 0.8602,
|
| 1650 |
-
"step": 1160
|
| 1651 |
-
},
|
| 1652 |
-
{
|
| 1653 |
-
"epoch": 0.10764113462071515,
|
| 1654 |
-
"grad_norm": 6.03125,
|
| 1655 |
-
"learning_rate": 1.9686456450191372e-05,
|
| 1656 |
-
"loss": 0.8779,
|
| 1657 |
-
"step": 1165
|
| 1658 |
-
},
|
| 1659 |
-
{
|
| 1660 |
-
"epoch": 0.10810311373925899,
|
| 1661 |
-
"grad_norm": 5.40625,
|
| 1662 |
-
"learning_rate": 1.968272815071736e-05,
|
| 1663 |
-
"loss": 0.8708,
|
| 1664 |
-
"step": 1170
|
| 1665 |
-
},
|
| 1666 |
-
{
|
| 1667 |
-
"epoch": 0.10856509285780283,
|
| 1668 |
-
"grad_norm": 5.46875,
|
| 1669 |
-
"learning_rate": 1.9678978172990612e-05,
|
| 1670 |
-
"loss": 0.8517,
|
| 1671 |
-
"step": 1175
|
| 1672 |
-
},
|
| 1673 |
-
{
|
| 1674 |
-
"epoch": 0.10902707197634667,
|
| 1675 |
-
"grad_norm": 6.59375,
|
| 1676 |
-
"learning_rate": 1.9675206525406803e-05,
|
| 1677 |
-
"loss": 0.8727,
|
| 1678 |
-
"step": 1180
|
| 1679 |
-
},
|
| 1680 |
-
{
|
| 1681 |
-
"epoch": 0.10948905109489052,
|
| 1682 |
-
"grad_norm": 4.625,
|
| 1683 |
-
"learning_rate": 1.9671413216410116e-05,
|
| 1684 |
-
"loss": 0.7547,
|
| 1685 |
-
"step": 1185
|
| 1686 |
-
},
|
| 1687 |
-
{
|
| 1688 |
-
"epoch": 0.10995103021343436,
|
| 1689 |
-
"grad_norm": 4.03125,
|
| 1690 |
-
"learning_rate": 1.966759825449323e-05,
|
| 1691 |
-
"loss": 0.7722,
|
| 1692 |
-
"step": 1190
|
| 1693 |
-
},
|
| 1694 |
-
{
|
| 1695 |
-
"epoch": 0.1104130093319782,
|
| 1696 |
-
"grad_norm": 3.78125,
|
| 1697 |
-
"learning_rate": 1.9663761648197302e-05,
|
| 1698 |
-
"loss": 0.9483,
|
| 1699 |
-
"step": 1195
|
| 1700 |
-
},
|
| 1701 |
-
{
|
| 1702 |
-
"epoch": 0.11087498845052203,
|
| 1703 |
-
"grad_norm": 3.84375,
|
| 1704 |
-
"learning_rate": 1.965990340611195e-05,
|
| 1705 |
-
"loss": 0.846,
|
| 1706 |
-
"step": 1200
|
| 1707 |
-
},
|
| 1708 |
-
{
|
| 1709 |
-
"epoch": 0.11133696756906587,
|
| 1710 |
-
"grad_norm": 4.9375,
|
| 1711 |
-
"learning_rate": 1.9656023536875227e-05,
|
| 1712 |
-
"loss": 0.8802,
|
| 1713 |
-
"step": 1205
|
| 1714 |
-
},
|
| 1715 |
-
{
|
| 1716 |
-
"epoch": 0.11179894668760972,
|
| 1717 |
-
"grad_norm": 3.921875,
|
| 1718 |
-
"learning_rate": 1.965212204917361e-05,
|
| 1719 |
-
"loss": 0.8081,
|
| 1720 |
-
"step": 1210
|
| 1721 |
-
},
|
| 1722 |
-
{
|
| 1723 |
-
"epoch": 0.11226092580615356,
|
| 1724 |
-
"grad_norm": 5.0,
|
| 1725 |
-
"learning_rate": 1.964819895174198e-05,
|
| 1726 |
-
"loss": 0.8051,
|
| 1727 |
-
"step": 1215
|
| 1728 |
-
},
|
| 1729 |
-
{
|
| 1730 |
-
"epoch": 0.1127229049246974,
|
| 1731 |
-
"grad_norm": 4.15625,
|
| 1732 |
-
"learning_rate": 1.964425425336359e-05,
|
| 1733 |
-
"loss": 0.8133,
|
| 1734 |
-
"step": 1220
|
| 1735 |
-
},
|
| 1736 |
-
{
|
| 1737 |
-
"epoch": 0.11318488404324124,
|
| 1738 |
-
"grad_norm": 4.40625,
|
| 1739 |
-
"learning_rate": 1.9640287962870063e-05,
|
| 1740 |
-
"loss": 0.8061,
|
| 1741 |
-
"step": 1225
|
| 1742 |
-
},
|
| 1743 |
-
{
|
| 1744 |
-
"epoch": 0.11364686316178509,
|
| 1745 |
-
"grad_norm": 3.984375,
|
| 1746 |
-
"learning_rate": 1.9636300089141355e-05,
|
| 1747 |
-
"loss": 0.7362,
|
| 1748 |
-
"step": 1230
|
| 1749 |
-
},
|
| 1750 |
-
{
|
| 1751 |
-
"epoch": 0.11410884228032893,
|
| 1752 |
-
"grad_norm": 7.625,
|
| 1753 |
-
"learning_rate": 1.9632290641105754e-05,
|
| 1754 |
-
"loss": 1.0105,
|
| 1755 |
-
"step": 1235
|
| 1756 |
-
},
|
| 1757 |
-
{
|
| 1758 |
-
"epoch": 0.11457082139887277,
|
| 1759 |
-
"grad_norm": 4.75,
|
| 1760 |
-
"learning_rate": 1.962825962773984e-05,
|
| 1761 |
-
"loss": 0.6403,
|
| 1762 |
-
"step": 1240
|
| 1763 |
-
},
|
| 1764 |
-
{
|
| 1765 |
-
"epoch": 0.11503280051741661,
|
| 1766 |
-
"grad_norm": 5.75,
|
| 1767 |
-
"learning_rate": 1.962420705806848e-05,
|
| 1768 |
-
"loss": 0.8769,
|
| 1769 |
-
"step": 1245
|
| 1770 |
-
},
|
| 1771 |
-
{
|
| 1772 |
-
"epoch": 0.11549477963596046,
|
| 1773 |
-
"grad_norm": 4.21875,
|
| 1774 |
-
"learning_rate": 1.9620132941164806e-05,
|
| 1775 |
-
"loss": 0.8211,
|
| 1776 |
-
"step": 1250
|
| 1777 |
-
},
|
| 1778 |
-
{
|
| 1779 |
-
"epoch": 0.1159567587545043,
|
| 1780 |
-
"grad_norm": 4.8125,
|
| 1781 |
-
"learning_rate": 1.961603728615018e-05,
|
| 1782 |
-
"loss": 0.8711,
|
| 1783 |
-
"step": 1255
|
| 1784 |
-
},
|
| 1785 |
-
{
|
| 1786 |
-
"epoch": 0.11641873787304814,
|
| 1787 |
-
"grad_norm": 6.375,
|
| 1788 |
-
"learning_rate": 1.96119201021942e-05,
|
| 1789 |
-
"loss": 0.8252,
|
| 1790 |
-
"step": 1260
|
| 1791 |
-
},
|
| 1792 |
-
{
|
| 1793 |
-
"epoch": 0.11688071699159198,
|
| 1794 |
-
"grad_norm": 4.375,
|
| 1795 |
-
"learning_rate": 1.9607781398514646e-05,
|
| 1796 |
-
"loss": 0.8147,
|
| 1797 |
-
"step": 1265
|
| 1798 |
-
},
|
| 1799 |
-
{
|
| 1800 |
-
"epoch": 0.11734269611013583,
|
| 1801 |
-
"grad_norm": 4.21875,
|
| 1802 |
-
"learning_rate": 1.9603621184377498e-05,
|
| 1803 |
-
"loss": 0.7746,
|
| 1804 |
-
"step": 1270
|
| 1805 |
-
},
|
| 1806 |
-
{
|
| 1807 |
-
"epoch": 0.11780467522867967,
|
| 1808 |
-
"grad_norm": 4.5625,
|
| 1809 |
-
"learning_rate": 1.9599439469096876e-05,
|
| 1810 |
-
"loss": 0.965,
|
| 1811 |
-
"step": 1275
|
| 1812 |
-
},
|
| 1813 |
-
{
|
| 1814 |
-
"epoch": 0.1182666543472235,
|
| 1815 |
-
"grad_norm": 4.34375,
|
| 1816 |
-
"learning_rate": 1.9595236262035057e-05,
|
| 1817 |
-
"loss": 0.711,
|
| 1818 |
-
"step": 1280
|
| 1819 |
-
},
|
| 1820 |
-
{
|
| 1821 |
-
"epoch": 0.11872863346576734,
|
| 1822 |
-
"grad_norm": 4.1875,
|
| 1823 |
-
"learning_rate": 1.959101157260241e-05,
|
| 1824 |
-
"loss": 0.7464,
|
| 1825 |
-
"step": 1285
|
| 1826 |
-
},
|
| 1827 |
-
{
|
| 1828 |
-
"epoch": 0.11919061258431118,
|
| 1829 |
-
"grad_norm": 5.125,
|
| 1830 |
-
"learning_rate": 1.9586765410257424e-05,
|
| 1831 |
-
"loss": 0.7712,
|
| 1832 |
-
"step": 1290
|
| 1833 |
-
},
|
| 1834 |
-
{
|
| 1835 |
-
"epoch": 0.11965259170285503,
|
| 1836 |
-
"grad_norm": 6.0625,
|
| 1837 |
-
"learning_rate": 1.958249778450665e-05,
|
| 1838 |
-
"loss": 0.8344,
|
| 1839 |
-
"step": 1295
|
| 1840 |
-
},
|
| 1841 |
-
{
|
| 1842 |
-
"epoch": 0.12011457082139887,
|
| 1843 |
-
"grad_norm": 5.84375,
|
| 1844 |
-
"learning_rate": 1.95782087049047e-05,
|
| 1845 |
-
"loss": 0.7442,
|
| 1846 |
-
"step": 1300
|
| 1847 |
-
},
|
| 1848 |
-
{
|
| 1849 |
-
"epoch": 0.12057654993994271,
|
| 1850 |
-
"grad_norm": 7.8125,
|
| 1851 |
-
"learning_rate": 1.957389818105421e-05,
|
| 1852 |
-
"loss": 0.818,
|
| 1853 |
-
"step": 1305
|
| 1854 |
-
},
|
| 1855 |
-
{
|
| 1856 |
-
"epoch": 0.12103852905848655,
|
| 1857 |
-
"grad_norm": 4.125,
|
| 1858 |
-
"learning_rate": 1.9569566222605832e-05,
|
| 1859 |
-
"loss": 0.6755,
|
| 1860 |
-
"step": 1310
|
| 1861 |
-
},
|
| 1862 |
-
{
|
| 1863 |
-
"epoch": 0.1215005081770304,
|
| 1864 |
-
"grad_norm": 5.0625,
|
| 1865 |
-
"learning_rate": 1.9565212839258204e-05,
|
| 1866 |
-
"loss": 0.8302,
|
| 1867 |
-
"step": 1315
|
| 1868 |
-
},
|
| 1869 |
-
{
|
| 1870 |
-
"epoch": 0.12196248729557424,
|
| 1871 |
-
"grad_norm": 4.3125,
|
| 1872 |
-
"learning_rate": 1.9560838040757933e-05,
|
| 1873 |
-
"loss": 0.7821,
|
| 1874 |
-
"step": 1320
|
| 1875 |
-
},
|
| 1876 |
-
{
|
| 1877 |
-
"epoch": 0.12242446641411808,
|
| 1878 |
-
"grad_norm": 5.75,
|
| 1879 |
-
"learning_rate": 1.955644183689957e-05,
|
| 1880 |
-
"loss": 0.8591,
|
| 1881 |
-
"step": 1325
|
| 1882 |
-
},
|
| 1883 |
-
{
|
| 1884 |
-
"epoch": 0.12288644553266193,
|
| 1885 |
-
"grad_norm": 4.0,
|
| 1886 |
-
"learning_rate": 1.9552024237525597e-05,
|
| 1887 |
-
"loss": 0.7422,
|
| 1888 |
-
"step": 1330
|
| 1889 |
-
},
|
| 1890 |
-
{
|
| 1891 |
-
"epoch": 0.12334842465120577,
|
| 1892 |
-
"grad_norm": 5.71875,
|
| 1893 |
-
"learning_rate": 1.9547585252526388e-05,
|
| 1894 |
-
"loss": 0.7762,
|
| 1895 |
-
"step": 1335
|
| 1896 |
-
},
|
| 1897 |
-
{
|
| 1898 |
-
"epoch": 0.12381040376974961,
|
| 1899 |
-
"grad_norm": 4.5625,
|
| 1900 |
-
"learning_rate": 1.9543124891840196e-05,
|
| 1901 |
-
"loss": 0.8118,
|
| 1902 |
-
"step": 1340
|
| 1903 |
-
},
|
| 1904 |
-
{
|
| 1905 |
-
"epoch": 0.12427238288829345,
|
| 1906 |
-
"grad_norm": 5.0625,
|
| 1907 |
-
"learning_rate": 1.9538643165453138e-05,
|
| 1908 |
-
"loss": 0.7443,
|
| 1909 |
-
"step": 1345
|
| 1910 |
-
},
|
| 1911 |
-
{
|
| 1912 |
-
"epoch": 0.1247343620068373,
|
| 1913 |
-
"grad_norm": 5.375,
|
| 1914 |
-
"learning_rate": 1.9534140083399165e-05,
|
| 1915 |
-
"loss": 0.864,
|
| 1916 |
-
"step": 1350
|
| 1917 |
-
},
|
| 1918 |
-
{
|
| 1919 |
-
"epoch": 0.12519634112538114,
|
| 1920 |
-
"grad_norm": 4.1875,
|
| 1921 |
-
"learning_rate": 1.9529615655760034e-05,
|
| 1922 |
-
"loss": 0.7972,
|
| 1923 |
-
"step": 1355
|
| 1924 |
-
},
|
| 1925 |
-
{
|
| 1926 |
-
"epoch": 0.12565832024392498,
|
| 1927 |
-
"grad_norm": 5.40625,
|
| 1928 |
-
"learning_rate": 1.9525069892665295e-05,
|
| 1929 |
-
"loss": 0.8191,
|
| 1930 |
-
"step": 1360
|
| 1931 |
-
},
|
| 1932 |
-
{
|
| 1933 |
-
"epoch": 0.12612029936246882,
|
| 1934 |
-
"grad_norm": 4.9375,
|
| 1935 |
-
"learning_rate": 1.952050280429227e-05,
|
| 1936 |
-
"loss": 0.7575,
|
| 1937 |
-
"step": 1365
|
| 1938 |
-
},
|
| 1939 |
-
{
|
| 1940 |
-
"epoch": 0.12658227848101267,
|
| 1941 |
-
"grad_norm": 5.3125,
|
| 1942 |
-
"learning_rate": 1.9515914400866022e-05,
|
| 1943 |
-
"loss": 0.817,
|
| 1944 |
-
"step": 1370
|
| 1945 |
-
},
|
| 1946 |
-
{
|
| 1947 |
-
"epoch": 0.1270442575995565,
|
| 1948 |
-
"grad_norm": 5.5625,
|
| 1949 |
-
"learning_rate": 1.951130469265933e-05,
|
| 1950 |
-
"loss": 0.9624,
|
| 1951 |
-
"step": 1375
|
| 1952 |
-
},
|
| 1953 |
-
{
|
| 1954 |
-
"epoch": 0.12750623671810035,
|
| 1955 |
-
"grad_norm": 4.84375,
|
| 1956 |
-
"learning_rate": 1.9506673689992673e-05,
|
| 1957 |
-
"loss": 0.8555,
|
| 1958 |
-
"step": 1380
|
| 1959 |
-
},
|
| 1960 |
-
{
|
| 1961 |
-
"epoch": 0.1279682158366442,
|
| 1962 |
-
"grad_norm": 4.03125,
|
| 1963 |
-
"learning_rate": 1.950202140323422e-05,
|
| 1964 |
-
"loss": 0.803,
|
| 1965 |
-
"step": 1385
|
| 1966 |
-
},
|
| 1967 |
-
{
|
| 1968 |
-
"epoch": 0.12843019495518804,
|
| 1969 |
-
"grad_norm": 4.5,
|
| 1970 |
-
"learning_rate": 1.9497347842799767e-05,
|
| 1971 |
-
"loss": 0.8625,
|
| 1972 |
-
"step": 1390
|
| 1973 |
-
},
|
| 1974 |
-
{
|
| 1975 |
-
"epoch": 0.12889217407373188,
|
| 1976 |
-
"grad_norm": 5.90625,
|
| 1977 |
-
"learning_rate": 1.9492653019152762e-05,
|
| 1978 |
-
"loss": 0.7429,
|
| 1979 |
-
"step": 1395
|
| 1980 |
-
},
|
| 1981 |
-
{
|
| 1982 |
-
"epoch": 0.12935415319227572,
|
| 1983 |
-
"grad_norm": 6.71875,
|
| 1984 |
-
"learning_rate": 1.9487936942804237e-05,
|
| 1985 |
-
"loss": 0.8089,
|
| 1986 |
-
"step": 1400
|
| 1987 |
-
},
|
| 1988 |
-
{
|
| 1989 |
-
"epoch": 0.12981613231081954,
|
| 1990 |
-
"grad_norm": 5.84375,
|
| 1991 |
-
"learning_rate": 1.948319962431283e-05,
|
| 1992 |
-
"loss": 0.8077,
|
| 1993 |
-
"step": 1405
|
| 1994 |
-
},
|
| 1995 |
-
{
|
| 1996 |
-
"epoch": 0.13027811142936338,
|
| 1997 |
-
"grad_norm": 4.0625,
|
| 1998 |
-
"learning_rate": 1.9478441074284713e-05,
|
| 1999 |
-
"loss": 0.8612,
|
| 2000 |
-
"step": 1410
|
| 2001 |
-
},
|
| 2002 |
-
{
|
| 2003 |
-
"epoch": 0.13074009054790722,
|
| 2004 |
-
"grad_norm": 4.96875,
|
| 2005 |
-
"learning_rate": 1.947366130337361e-05,
|
| 2006 |
-
"loss": 0.7953,
|
| 2007 |
-
"step": 1415
|
| 2008 |
-
},
|
| 2009 |
-
{
|
| 2010 |
-
"epoch": 0.13120206966645107,
|
| 2011 |
-
"grad_norm": 4.5625,
|
| 2012 |
-
"learning_rate": 1.9468860322280746e-05,
|
| 2013 |
-
"loss": 0.8029,
|
| 2014 |
-
"step": 1420
|
| 2015 |
-
},
|
| 2016 |
-
{
|
| 2017 |
-
"epoch": 0.1316640487849949,
|
| 2018 |
-
"grad_norm": 6.0,
|
| 2019 |
-
"learning_rate": 1.946403814175484e-05,
|
| 2020 |
-
"loss": 0.9268,
|
| 2021 |
-
"step": 1425
|
| 2022 |
-
},
|
| 2023 |
-
{
|
| 2024 |
-
"epoch": 0.13212602790353875,
|
| 2025 |
-
"grad_norm": 3.921875,
|
| 2026 |
-
"learning_rate": 1.9459194772592062e-05,
|
| 2027 |
-
"loss": 0.8112,
|
| 2028 |
-
"step": 1430
|
| 2029 |
-
},
|
| 2030 |
-
{
|
| 2031 |
-
"epoch": 0.1325880070220826,
|
| 2032 |
-
"grad_norm": 4.96875,
|
| 2033 |
-
"learning_rate": 1.9454330225636035e-05,
|
| 2034 |
-
"loss": 0.6757,
|
| 2035 |
-
"step": 1435
|
| 2036 |
-
},
|
| 2037 |
-
{
|
| 2038 |
-
"epoch": 0.13304998614062644,
|
| 2039 |
-
"grad_norm": 5.25,
|
| 2040 |
-
"learning_rate": 1.944944451177778e-05,
|
| 2041 |
-
"loss": 0.784,
|
| 2042 |
-
"step": 1440
|
| 2043 |
-
},
|
| 2044 |
-
{
|
| 2045 |
-
"epoch": 0.13351196525917028,
|
| 2046 |
-
"grad_norm": 4.46875,
|
| 2047 |
-
"learning_rate": 1.9444537641955725e-05,
|
| 2048 |
-
"loss": 0.9202,
|
| 2049 |
-
"step": 1445
|
| 2050 |
-
},
|
| 2051 |
-
{
|
| 2052 |
-
"epoch": 0.13397394437771412,
|
| 2053 |
-
"grad_norm": 4.90625,
|
| 2054 |
-
"learning_rate": 1.943960962715565e-05,
|
| 2055 |
-
"loss": 0.8239,
|
| 2056 |
-
"step": 1450
|
| 2057 |
-
},
|
| 2058 |
-
{
|
| 2059 |
-
"epoch": 0.13443592349625796,
|
| 2060 |
-
"grad_norm": 5.125,
|
| 2061 |
-
"learning_rate": 1.9434660478410676e-05,
|
| 2062 |
-
"loss": 0.8025,
|
| 2063 |
-
"step": 1455
|
| 2064 |
-
},
|
| 2065 |
-
{
|
| 2066 |
-
"epoch": 0.1348979026148018,
|
| 2067 |
-
"grad_norm": 5.03125,
|
| 2068 |
-
"learning_rate": 1.9429690206801255e-05,
|
| 2069 |
-
"loss": 0.8056,
|
| 2070 |
-
"step": 1460
|
| 2071 |
-
},
|
| 2072 |
-
{
|
| 2073 |
-
"epoch": 0.13535988173334565,
|
| 2074 |
-
"grad_norm": 5.78125,
|
| 2075 |
-
"learning_rate": 1.942469882345511e-05,
|
| 2076 |
-
"loss": 0.9176,
|
| 2077 |
-
"step": 1465
|
| 2078 |
-
},
|
| 2079 |
-
{
|
| 2080 |
-
"epoch": 0.1358218608518895,
|
| 2081 |
-
"grad_norm": 4.8125,
|
| 2082 |
-
"learning_rate": 1.941968633954724e-05,
|
| 2083 |
-
"loss": 0.8589,
|
| 2084 |
-
"step": 1470
|
| 2085 |
-
},
|
| 2086 |
-
{
|
| 2087 |
-
"epoch": 0.13628383997043333,
|
| 2088 |
-
"grad_norm": 4.375,
|
| 2089 |
-
"learning_rate": 1.9414652766299887e-05,
|
| 2090 |
-
"loss": 0.9654,
|
| 2091 |
-
"step": 1475
|
| 2092 |
-
},
|
| 2093 |
-
{
|
| 2094 |
-
"epoch": 0.13674581908897718,
|
| 2095 |
-
"grad_norm": 4.5,
|
| 2096 |
-
"learning_rate": 1.9409598114982503e-05,
|
| 2097 |
-
"loss": 0.7178,
|
| 2098 |
-
"step": 1480
|
| 2099 |
-
},
|
| 2100 |
-
{
|
| 2101 |
-
"epoch": 0.13720779820752102,
|
| 2102 |
-
"grad_norm": 5.875,
|
| 2103 |
-
"learning_rate": 1.9404522396911742e-05,
|
| 2104 |
-
"loss": 0.8832,
|
| 2105 |
-
"step": 1485
|
| 2106 |
-
},
|
| 2107 |
-
{
|
| 2108 |
-
"epoch": 0.13766977732606486,
|
| 2109 |
-
"grad_norm": 4.46875,
|
| 2110 |
-
"learning_rate": 1.9399425623451405e-05,
|
| 2111 |
-
"loss": 0.8601,
|
| 2112 |
-
"step": 1490
|
| 2113 |
-
},
|
| 2114 |
-
{
|
| 2115 |
-
"epoch": 0.1381317564446087,
|
| 2116 |
-
"grad_norm": 4.0,
|
| 2117 |
-
"learning_rate": 1.9394307806012454e-05,
|
| 2118 |
-
"loss": 0.6866,
|
| 2119 |
-
"step": 1495
|
| 2120 |
-
},
|
| 2121 |
-
{
|
| 2122 |
-
"epoch": 0.13859373556315255,
|
| 2123 |
-
"grad_norm": 5.125,
|
| 2124 |
-
"learning_rate": 1.9389168956052945e-05,
|
| 2125 |
-
"loss": 0.7372,
|
| 2126 |
-
"step": 1500
|
| 2127 |
-
},
|
| 2128 |
-
{
|
| 2129 |
-
"epoch": 0.13859373556315255,
|
| 2130 |
-
"eval_loss": 0.8288407325744629,
|
| 2131 |
-
"eval_runtime": 443.0014,
|
| 2132 |
-
"eval_samples_per_second": 20.576,
|
| 2133 |
-
"eval_steps_per_second": 2.573,
|
| 2134 |
-
"step": 1500
|
| 2135 |
}
|
| 2136 |
],
|
| 2137 |
"logging_steps": 5,
|
| 2138 |
-
"max_steps":
|
| 2139 |
"num_input_tokens_seen": 0,
|
| 2140 |
"num_train_epochs": 1,
|
| 2141 |
"save_steps": 500,
|
|
@@ -2143,10 +1435,10 @@
|
|
| 2143 |
"EarlyStoppingCallback": {
|
| 2144 |
"args": {
|
| 2145 |
"early_stopping_patience": 3,
|
| 2146 |
-
"early_stopping_threshold": 0.
|
| 2147 |
},
|
| 2148 |
"attributes": {
|
| 2149 |
-
"early_stopping_patience_counter":
|
| 2150 |
}
|
| 2151 |
},
|
| 2152 |
"TrainerControl": {
|
|
@@ -2160,7 +1452,7 @@
|
|
| 2160 |
"attributes": {}
|
| 2161 |
}
|
| 2162 |
},
|
| 2163 |
-
"total_flos":
|
| 2164 |
"train_batch_size": 4,
|
| 2165 |
"trial_name": null,
|
| 2166 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_global_step": 1000,
|
| 3 |
+
"best_metric": 1.0913933515548706,
|
| 4 |
+
"best_model_checkpoint": "output/reasoning-model_v11/checkpoint-1000",
|
| 5 |
+
"epoch": 0.37512895057676077,
|
| 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,
|
| 11 |
"log_history": [
|
| 12 |
{
|
| 13 |
+
"epoch": 0.0018756447528838038,
|
| 14 |
+
"grad_norm": 17.375,
|
| 15 |
+
"learning_rate": 1.0000000000000002e-06,
|
| 16 |
+
"loss": 1.5042,
|
| 17 |
"step": 5
|
| 18 |
},
|
| 19 |
{
|
| 20 |
+
"epoch": 0.0037512895057676076,
|
| 21 |
+
"grad_norm": 14.875,
|
| 22 |
+
"learning_rate": 2.25e-06,
|
| 23 |
+
"loss": 1.413,
|
| 24 |
"step": 10
|
| 25 |
},
|
| 26 |
{
|
| 27 |
+
"epoch": 0.005626934258651411,
|
| 28 |
+
"grad_norm": 13.375,
|
| 29 |
+
"learning_rate": 3.5e-06,
|
| 30 |
+
"loss": 1.5803,
|
| 31 |
"step": 15
|
| 32 |
},
|
| 33 |
{
|
| 34 |
+
"epoch": 0.007502579011535215,
|
| 35 |
+
"grad_norm": 9.1875,
|
| 36 |
+
"learning_rate": 4.75e-06,
|
| 37 |
+
"loss": 1.5081,
|
| 38 |
"step": 20
|
| 39 |
},
|
| 40 |
{
|
| 41 |
+
"epoch": 0.00937822376441902,
|
| 42 |
+
"grad_norm": 9.5,
|
| 43 |
+
"learning_rate": 6e-06,
|
| 44 |
+
"loss": 1.3924,
|
| 45 |
"step": 25
|
| 46 |
},
|
| 47 |
{
|
| 48 |
+
"epoch": 0.011253868517302822,
|
| 49 |
+
"grad_norm": 7.96875,
|
| 50 |
+
"learning_rate": 7.25e-06,
|
| 51 |
+
"loss": 1.4063,
|
| 52 |
"step": 30
|
| 53 |
},
|
| 54 |
{
|
| 55 |
+
"epoch": 0.013129513270186627,
|
| 56 |
+
"grad_norm": 7.78125,
|
| 57 |
+
"learning_rate": 8.5e-06,
|
| 58 |
+
"loss": 1.2718,
|
| 59 |
"step": 35
|
| 60 |
},
|
| 61 |
{
|
| 62 |
+
"epoch": 0.01500515802307043,
|
| 63 |
+
"grad_norm": 10.4375,
|
| 64 |
+
"learning_rate": 9.75e-06,
|
| 65 |
+
"loss": 1.2445,
|
| 66 |
"step": 40
|
| 67 |
},
|
| 68 |
{
|
| 69 |
+
"epoch": 0.016880802775954235,
|
| 70 |
+
"grad_norm": 7.59375,
|
| 71 |
+
"learning_rate": 1.1000000000000001e-05,
|
| 72 |
+
"loss": 1.1666,
|
| 73 |
"step": 45
|
| 74 |
},
|
| 75 |
{
|
| 76 |
+
"epoch": 0.01875644752883804,
|
| 77 |
+
"grad_norm": 7.0,
|
| 78 |
+
"learning_rate": 1.2250000000000001e-05,
|
| 79 |
+
"loss": 1.2257,
|
| 80 |
"step": 50
|
| 81 |
},
|
| 82 |
{
|
| 83 |
+
"epoch": 0.02063209228172184,
|
| 84 |
+
"grad_norm": 8.5625,
|
| 85 |
+
"learning_rate": 1.3500000000000001e-05,
|
| 86 |
+
"loss": 1.1071,
|
| 87 |
"step": 55
|
| 88 |
},
|
| 89 |
{
|
| 90 |
+
"epoch": 0.022507737034605645,
|
| 91 |
+
"grad_norm": 7.5625,
|
| 92 |
+
"learning_rate": 1.4750000000000003e-05,
|
| 93 |
+
"loss": 1.2369,
|
| 94 |
"step": 60
|
| 95 |
},
|
| 96 |
{
|
| 97 |
+
"epoch": 0.02438338178748945,
|
| 98 |
+
"grad_norm": 8.5625,
|
| 99 |
+
"learning_rate": 1.6000000000000003e-05,
|
| 100 |
+
"loss": 1.2355,
|
| 101 |
"step": 65
|
| 102 |
},
|
| 103 |
{
|
| 104 |
+
"epoch": 0.026259026540373254,
|
| 105 |
+
"grad_norm": 9.8125,
|
| 106 |
+
"learning_rate": 1.7250000000000003e-05,
|
| 107 |
+
"loss": 1.0905,
|
| 108 |
"step": 70
|
| 109 |
},
|
| 110 |
{
|
| 111 |
+
"epoch": 0.028134671293257058,
|
| 112 |
+
"grad_norm": 6.6875,
|
| 113 |
+
"learning_rate": 1.8500000000000002e-05,
|
| 114 |
+
"loss": 1.1362,
|
| 115 |
"step": 75
|
| 116 |
},
|
| 117 |
{
|
| 118 |
+
"epoch": 0.03001031604614086,
|
| 119 |
+
"grad_norm": 12.875,
|
| 120 |
+
"learning_rate": 1.9750000000000002e-05,
|
| 121 |
+
"loss": 1.1355,
|
| 122 |
"step": 80
|
| 123 |
},
|
| 124 |
{
|
| 125 |
+
"epoch": 0.031885960799024664,
|
| 126 |
+
"grad_norm": 8.0625,
|
| 127 |
+
"learning_rate": 1.999988193210057e-05,
|
| 128 |
+
"loss": 1.2262,
|
| 129 |
"step": 85
|
| 130 |
},
|
| 131 |
{
|
| 132 |
+
"epoch": 0.03376160555190847,
|
| 133 |
+
"grad_norm": 6.40625,
|
| 134 |
+
"learning_rate": 1.9999402286037404e-05,
|
| 135 |
+
"loss": 1.0978,
|
| 136 |
"step": 90
|
| 137 |
},
|
| 138 |
{
|
| 139 |
+
"epoch": 0.03563725030479227,
|
| 140 |
+
"grad_norm": 9.375,
|
| 141 |
+
"learning_rate": 1.9998553700250286e-05,
|
| 142 |
+
"loss": 1.098,
|
| 143 |
"step": 95
|
| 144 |
},
|
| 145 |
{
|
| 146 |
+
"epoch": 0.03751289505767608,
|
| 147 |
+
"grad_norm": 7.21875,
|
| 148 |
+
"learning_rate": 1.9997336206048778e-05,
|
| 149 |
+
"loss": 1.2503,
|
| 150 |
"step": 100
|
| 151 |
},
|
| 152 |
{
|
| 153 |
+
"epoch": 0.03938853981055988,
|
| 154 |
+
"grad_norm": 8.1875,
|
| 155 |
+
"learning_rate": 1.999574984835377e-05,
|
| 156 |
+
"loss": 1.0663,
|
| 157 |
"step": 105
|
| 158 |
},
|
| 159 |
{
|
| 160 |
+
"epoch": 0.04126418456344368,
|
| 161 |
+
"grad_norm": 7.46875,
|
| 162 |
+
"learning_rate": 1.9993794685695792e-05,
|
| 163 |
+
"loss": 1.3083,
|
| 164 |
"step": 110
|
| 165 |
},
|
| 166 |
{
|
| 167 |
+
"epoch": 0.04313982931632749,
|
| 168 |
+
"grad_norm": 6.9375,
|
| 169 |
+
"learning_rate": 1.9991470790212877e-05,
|
| 170 |
+
"loss": 1.1906,
|
| 171 |
"step": 115
|
| 172 |
},
|
| 173 |
{
|
| 174 |
+
"epoch": 0.04501547406921129,
|
| 175 |
+
"grad_norm": 9.8125,
|
| 176 |
+
"learning_rate": 1.9988778247647887e-05,
|
| 177 |
+
"loss": 1.1358,
|
| 178 |
"step": 120
|
| 179 |
},
|
| 180 |
{
|
| 181 |
+
"epoch": 0.046891118822095096,
|
| 182 |
+
"grad_norm": 9.375,
|
| 183 |
+
"learning_rate": 1.9985717157345346e-05,
|
| 184 |
+
"loss": 1.1421,
|
| 185 |
"step": 125
|
| 186 |
},
|
| 187 |
{
|
| 188 |
+
"epoch": 0.0487667635749789,
|
| 189 |
+
"grad_norm": 7.125,
|
| 190 |
+
"learning_rate": 1.998228763224779e-05,
|
| 191 |
+
"loss": 1.1236,
|
| 192 |
"step": 130
|
| 193 |
},
|
| 194 |
{
|
| 195 |
+
"epoch": 0.0506424083278627,
|
| 196 |
+
"grad_norm": 6.1875,
|
| 197 |
+
"learning_rate": 1.9978489798891584e-05,
|
| 198 |
+
"loss": 1.2223,
|
| 199 |
"step": 135
|
| 200 |
},
|
| 201 |
{
|
| 202 |
+
"epoch": 0.05251805308074651,
|
| 203 |
+
"grad_norm": 6.875,
|
| 204 |
+
"learning_rate": 1.9974323797402264e-05,
|
| 205 |
+
"loss": 1.1818,
|
| 206 |
"step": 140
|
| 207 |
},
|
| 208 |
{
|
| 209 |
+
"epoch": 0.05439369783363031,
|
| 210 |
+
"grad_norm": 5.78125,
|
| 211 |
+
"learning_rate": 1.996978978148936e-05,
|
| 212 |
+
"loss": 1.0341,
|
| 213 |
"step": 145
|
| 214 |
},
|
| 215 |
{
|
| 216 |
+
"epoch": 0.056269342586514115,
|
| 217 |
+
"grad_norm": 7.40625,
|
| 218 |
+
"learning_rate": 1.9964887918440735e-05,
|
| 219 |
+
"loss": 1.118,
|
| 220 |
"step": 150
|
| 221 |
},
|
| 222 |
{
|
| 223 |
+
"epoch": 0.058144987339397915,
|
| 224 |
+
"grad_norm": 7.71875,
|
| 225 |
+
"learning_rate": 1.995961838911639e-05,
|
| 226 |
+
"loss": 1.2993,
|
| 227 |
"step": 155
|
| 228 |
},
|
| 229 |
{
|
| 230 |
+
"epoch": 0.06002063209228172,
|
| 231 |
+
"grad_norm": 7.03125,
|
| 232 |
+
"learning_rate": 1.995398138794182e-05,
|
| 233 |
+
"loss": 1.1533,
|
| 234 |
"step": 160
|
| 235 |
},
|
| 236 |
{
|
| 237 |
+
"epoch": 0.06189627684516553,
|
| 238 |
+
"grad_norm": 7.40625,
|
| 239 |
+
"learning_rate": 1.9947977122900825e-05,
|
| 240 |
+
"loss": 1.0802,
|
| 241 |
"step": 165
|
| 242 |
},
|
| 243 |
{
|
| 244 |
+
"epoch": 0.06377192159804933,
|
| 245 |
+
"grad_norm": 7.15625,
|
| 246 |
+
"learning_rate": 1.9941605815527827e-05,
|
| 247 |
+
"loss": 1.0135,
|
| 248 |
"step": 170
|
| 249 |
},
|
| 250 |
{
|
| 251 |
+
"epoch": 0.06564756635093313,
|
| 252 |
+
"grad_norm": 6.25,
|
| 253 |
+
"learning_rate": 1.9934867700899724e-05,
|
| 254 |
+
"loss": 1.074,
|
| 255 |
"step": 175
|
| 256 |
},
|
| 257 |
{
|
| 258 |
+
"epoch": 0.06752321110381694,
|
| 259 |
+
"grad_norm": 6.9375,
|
| 260 |
+
"learning_rate": 1.9927763027627184e-05,
|
| 261 |
+
"loss": 1.0574,
|
| 262 |
"step": 180
|
| 263 |
},
|
| 264 |
{
|
| 265 |
+
"epoch": 0.06939885585670075,
|
| 266 |
+
"grad_norm": 8.4375,
|
| 267 |
+
"learning_rate": 1.99202920578455e-05,
|
| 268 |
+
"loss": 1.0316,
|
| 269 |
"step": 185
|
| 270 |
},
|
| 271 |
{
|
| 272 |
+
"epoch": 0.07127450060958454,
|
| 273 |
+
"grad_norm": 7.28125,
|
| 274 |
+
"learning_rate": 1.9912455067204898e-05,
|
| 275 |
+
"loss": 1.0653,
|
| 276 |
"step": 190
|
| 277 |
},
|
| 278 |
{
|
| 279 |
+
"epoch": 0.07315014536246835,
|
| 280 |
+
"grad_norm": 10.4375,
|
| 281 |
+
"learning_rate": 1.990425234486038e-05,
|
| 282 |
+
"loss": 1.1119,
|
| 283 |
"step": 195
|
| 284 |
},
|
| 285 |
{
|
| 286 |
+
"epoch": 0.07502579011535215,
|
| 287 |
+
"grad_norm": 7.71875,
|
| 288 |
+
"learning_rate": 1.9895684193461047e-05,
|
| 289 |
+
"loss": 1.28,
|
| 290 |
"step": 200
|
| 291 |
},
|
| 292 |
{
|
| 293 |
+
"epoch": 0.07690143486823596,
|
| 294 |
+
"grad_norm": 7.6875,
|
| 295 |
+
"learning_rate": 1.9886750929138935e-05,
|
| 296 |
+
"loss": 1.1392,
|
| 297 |
"step": 205
|
| 298 |
},
|
| 299 |
{
|
| 300 |
+
"epoch": 0.07877707962111977,
|
| 301 |
+
"grad_norm": 5.90625,
|
| 302 |
+
"learning_rate": 1.987745288149735e-05,
|
| 303 |
+
"loss": 1.1955,
|
| 304 |
"step": 210
|
| 305 |
},
|
| 306 |
{
|
| 307 |
+
"epoch": 0.08065272437400356,
|
| 308 |
+
"grad_norm": 6.625,
|
| 309 |
+
"learning_rate": 1.986779039359871e-05,
|
| 310 |
+
"loss": 1.1513,
|
| 311 |
"step": 215
|
| 312 |
},
|
| 313 |
{
|
| 314 |
+
"epoch": 0.08252836912688737,
|
| 315 |
+
"grad_norm": 7.75,
|
| 316 |
+
"learning_rate": 1.985776382195189e-05,
|
| 317 |
+
"loss": 1.0088,
|
| 318 |
"step": 220
|
| 319 |
},
|
| 320 |
{
|
| 321 |
+
"epoch": 0.08440401387977117,
|
| 322 |
+
"grad_norm": 7.5625,
|
| 323 |
+
"learning_rate": 1.984737353649906e-05,
|
| 324 |
+
"loss": 0.9908,
|
| 325 |
"step": 225
|
| 326 |
},
|
| 327 |
{
|
| 328 |
+
"epoch": 0.08627965863265498,
|
| 329 |
+
"grad_norm": 8.5,
|
| 330 |
+
"learning_rate": 1.9836619920602032e-05,
|
| 331 |
+
"loss": 1.1958,
|
| 332 |
"step": 230
|
| 333 |
},
|
| 334 |
{
|
| 335 |
+
"epoch": 0.08815530338553879,
|
| 336 |
+
"grad_norm": 11.3125,
|
| 337 |
+
"learning_rate": 1.9825503371028136e-05,
|
| 338 |
+
"loss": 1.1107,
|
| 339 |
"step": 235
|
| 340 |
},
|
| 341 |
{
|
| 342 |
+
"epoch": 0.09003094813842258,
|
| 343 |
+
"grad_norm": 6.78125,
|
| 344 |
+
"learning_rate": 1.981402429793556e-05,
|
| 345 |
+
"loss": 1.062,
|
| 346 |
"step": 240
|
| 347 |
},
|
| 348 |
{
|
| 349 |
+
"epoch": 0.09190659289130639,
|
| 350 |
+
"grad_norm": 7.75,
|
| 351 |
+
"learning_rate": 1.980218312485822e-05,
|
| 352 |
+
"loss": 1.1393,
|
| 353 |
"step": 245
|
| 354 |
},
|
| 355 |
{
|
| 356 |
+
"epoch": 0.09378223764419019,
|
| 357 |
+
"grad_norm": 9.5625,
|
| 358 |
+
"learning_rate": 1.978998028869015e-05,
|
| 359 |
+
"loss": 1.0907,
|
| 360 |
"step": 250
|
| 361 |
},
|
| 362 |
{
|
| 363 |
+
"epoch": 0.095657882397074,
|
| 364 |
+
"grad_norm": 9.4375,
|
| 365 |
+
"learning_rate": 1.977741623966936e-05,
|
| 366 |
+
"loss": 1.0887,
|
| 367 |
"step": 255
|
| 368 |
},
|
| 369 |
{
|
| 370 |
+
"epoch": 0.0975335271499578,
|
| 371 |
+
"grad_norm": 8.125,
|
| 372 |
+
"learning_rate": 1.9764491441361227e-05,
|
| 373 |
+
"loss": 1.1234,
|
| 374 |
"step": 260
|
| 375 |
},
|
| 376 |
{
|
| 377 |
+
"epoch": 0.0994091719028416,
|
| 378 |
+
"grad_norm": 7.03125,
|
| 379 |
+
"learning_rate": 1.975120637064142e-05,
|
| 380 |
+
"loss": 1.0825,
|
| 381 |
"step": 265
|
| 382 |
},
|
| 383 |
{
|
| 384 |
+
"epoch": 0.1012848166557254,
|
| 385 |
+
"grad_norm": 7.5,
|
| 386 |
+
"learning_rate": 1.973756151767826e-05,
|
| 387 |
+
"loss": 1.0728,
|
| 388 |
"step": 270
|
| 389 |
},
|
| 390 |
{
|
| 391 |
+
"epoch": 0.10316046140860921,
|
| 392 |
+
"grad_norm": 7.65625,
|
| 393 |
+
"learning_rate": 1.972355738591467e-05,
|
| 394 |
+
"loss": 1.2317,
|
| 395 |
"step": 275
|
| 396 |
},
|
| 397 |
{
|
| 398 |
+
"epoch": 0.10503610616149302,
|
| 399 |
+
"grad_norm": 8.5625,
|
| 400 |
+
"learning_rate": 1.9709194492049585e-05,
|
| 401 |
+
"loss": 1.1281,
|
| 402 |
"step": 280
|
| 403 |
},
|
| 404 |
{
|
| 405 |
+
"epoch": 0.10691175091437681,
|
| 406 |
+
"grad_norm": 5.84375,
|
| 407 |
+
"learning_rate": 1.9694473366018887e-05,
|
| 408 |
+
"loss": 0.9848,
|
| 409 |
"step": 285
|
| 410 |
},
|
| 411 |
{
|
| 412 |
+
"epoch": 0.10878739566726062,
|
| 413 |
+
"grad_norm": 8.4375,
|
| 414 |
+
"learning_rate": 1.9679394550975864e-05,
|
| 415 |
+
"loss": 1.0793,
|
| 416 |
"step": 290
|
| 417 |
},
|
| 418 |
{
|
| 419 |
+
"epoch": 0.11066304042014442,
|
| 420 |
+
"grad_norm": 8.875,
|
| 421 |
+
"learning_rate": 1.9663958603271148e-05,
|
| 422 |
+
"loss": 1.1765,
|
| 423 |
"step": 295
|
| 424 |
},
|
| 425 |
{
|
| 426 |
+
"epoch": 0.11253868517302823,
|
| 427 |
+
"grad_norm": 6.4375,
|
| 428 |
+
"learning_rate": 1.9648166092432216e-05,
|
| 429 |
+
"loss": 1.0936,
|
| 430 |
"step": 300
|
| 431 |
},
|
| 432 |
{
|
| 433 |
+
"epoch": 0.11441432992591204,
|
| 434 |
+
"grad_norm": 7.21875,
|
| 435 |
+
"learning_rate": 1.9632017601142353e-05,
|
| 436 |
+
"loss": 1.0343,
|
| 437 |
"step": 305
|
| 438 |
},
|
| 439 |
{
|
| 440 |
+
"epoch": 0.11628997467879583,
|
| 441 |
+
"grad_norm": 8.75,
|
| 442 |
+
"learning_rate": 1.961551372521916e-05,
|
| 443 |
+
"loss": 1.2004,
|
| 444 |
"step": 310
|
| 445 |
},
|
| 446 |
{
|
| 447 |
+
"epoch": 0.11816561943167964,
|
| 448 |
+
"grad_norm": 8.5,
|
| 449 |
+
"learning_rate": 1.9598655073592583e-05,
|
| 450 |
+
"loss": 1.1076,
|
| 451 |
"step": 315
|
| 452 |
},
|
| 453 |
{
|
| 454 |
+
"epoch": 0.12004126418456344,
|
| 455 |
+
"grad_norm": 7.0625,
|
| 456 |
+
"learning_rate": 1.9581442268282426e-05,
|
| 457 |
+
"loss": 1.1502,
|
| 458 |
"step": 320
|
| 459 |
},
|
| 460 |
{
|
| 461 |
+
"epoch": 0.12191690893744725,
|
| 462 |
+
"grad_norm": 7.65625,
|
| 463 |
+
"learning_rate": 1.956387594437541e-05,
|
| 464 |
+
"loss": 1.0411,
|
| 465 |
"step": 325
|
| 466 |
},
|
| 467 |
{
|
| 468 |
+
"epoch": 0.12379255369033106,
|
| 469 |
+
"grad_norm": 7.59375,
|
| 470 |
+
"learning_rate": 1.9545956750001744e-05,
|
| 471 |
+
"loss": 0.9873,
|
| 472 |
"step": 330
|
| 473 |
},
|
| 474 |
{
|
| 475 |
+
"epoch": 0.12566819844321486,
|
| 476 |
+
"grad_norm": 6.1875,
|
| 477 |
+
"learning_rate": 1.952768534631121e-05,
|
| 478 |
+
"loss": 1.1338,
|
| 479 |
"step": 335
|
| 480 |
},
|
| 481 |
{
|
| 482 |
+
"epoch": 0.12754384319609866,
|
| 483 |
+
"grad_norm": 9.125,
|
| 484 |
+
"learning_rate": 1.950906240744877e-05,
|
| 485 |
+
"loss": 1.0202,
|
| 486 |
"step": 340
|
| 487 |
},
|
| 488 |
{
|
| 489 |
+
"epoch": 0.12941948794898248,
|
| 490 |
+
"grad_norm": 8.5625,
|
| 491 |
+
"learning_rate": 1.9490088620529678e-05,
|
| 492 |
+
"loss": 1.1292,
|
| 493 |
"step": 345
|
| 494 |
},
|
| 495 |
{
|
| 496 |
+
"epoch": 0.13129513270186627,
|
| 497 |
+
"grad_norm": 5.8125,
|
| 498 |
+
"learning_rate": 1.9470764685614158e-05,
|
| 499 |
+
"loss": 1.0699,
|
| 500 |
"step": 350
|
| 501 |
},
|
| 502 |
{
|
| 503 |
+
"epoch": 0.13317077745475006,
|
| 504 |
+
"grad_norm": 6.15625,
|
| 505 |
+
"learning_rate": 1.945109131568154e-05,
|
| 506 |
+
"loss": 1.1161,
|
| 507 |
"step": 355
|
| 508 |
},
|
| 509 |
{
|
| 510 |
+
"epoch": 0.13504642220763388,
|
| 511 |
+
"grad_norm": 6.125,
|
| 512 |
+
"learning_rate": 1.943106923660398e-05,
|
| 513 |
+
"loss": 1.099,
|
| 514 |
"step": 360
|
| 515 |
},
|
| 516 |
{
|
| 517 |
+
"epoch": 0.13692206696051767,
|
| 518 |
+
"grad_norm": 6.53125,
|
| 519 |
+
"learning_rate": 1.9410699187119662e-05,
|
| 520 |
+
"loss": 1.0477,
|
| 521 |
"step": 365
|
| 522 |
},
|
| 523 |
{
|
| 524 |
+
"epoch": 0.1387977117134015,
|
| 525 |
+
"grad_norm": 8.9375,
|
| 526 |
+
"learning_rate": 1.938998191880556e-05,
|
| 527 |
+
"loss": 1.0746,
|
| 528 |
"step": 370
|
| 529 |
},
|
| 530 |
{
|
| 531 |
+
"epoch": 0.1406733564662853,
|
| 532 |
+
"grad_norm": 7.09375,
|
| 533 |
+
"learning_rate": 1.936891819604968e-05,
|
| 534 |
+
"loss": 1.0619,
|
| 535 |
"step": 375
|
| 536 |
},
|
| 537 |
{
|
| 538 |
+
"epoch": 0.14254900121916908,
|
| 539 |
+
"grad_norm": 6.6875,
|
| 540 |
+
"learning_rate": 1.9347508796022888e-05,
|
| 541 |
+
"loss": 1.1807,
|
| 542 |
"step": 380
|
| 543 |
},
|
| 544 |
{
|
| 545 |
+
"epoch": 0.1444246459720529,
|
| 546 |
+
"grad_norm": 6.75,
|
| 547 |
+
"learning_rate": 1.9325754508650208e-05,
|
| 548 |
+
"loss": 1.0707,
|
| 549 |
"step": 385
|
| 550 |
},
|
| 551 |
{
|
| 552 |
+
"epoch": 0.1463002907249367,
|
| 553 |
+
"grad_norm": 7.1875,
|
| 554 |
+
"learning_rate": 1.9303656136581694e-05,
|
| 555 |
+
"loss": 1.0464,
|
| 556 |
"step": 390
|
| 557 |
},
|
| 558 |
{
|
| 559 |
+
"epoch": 0.14817593547782051,
|
| 560 |
+
"grad_norm": 9.0,
|
| 561 |
+
"learning_rate": 1.928121449516281e-05,
|
| 562 |
+
"loss": 1.0882,
|
| 563 |
"step": 395
|
| 564 |
},
|
| 565 |
{
|
| 566 |
+
"epoch": 0.1500515802307043,
|
| 567 |
+
"grad_norm": 7.71875,
|
| 568 |
+
"learning_rate": 1.9258430412404344e-05,
|
| 569 |
+
"loss": 1.125,
|
| 570 |
"step": 400
|
| 571 |
},
|
| 572 |
{
|
| 573 |
+
"epoch": 0.1519272249835881,
|
| 574 |
+
"grad_norm": 6.6875,
|
| 575 |
+
"learning_rate": 1.9235304728951868e-05,
|
| 576 |
+
"loss": 1.1356,
|
| 577 |
"step": 405
|
| 578 |
},
|
| 579 |
{
|
| 580 |
+
"epoch": 0.15380286973647192,
|
| 581 |
+
"grad_norm": 9.9375,
|
| 582 |
+
"learning_rate": 1.9211838298054704e-05,
|
| 583 |
+
"loss": 1.1532,
|
| 584 |
"step": 410
|
| 585 |
},
|
| 586 |
{
|
| 587 |
+
"epoch": 0.1556785144893557,
|
| 588 |
+
"grad_norm": 8.5,
|
| 589 |
+
"learning_rate": 1.918803198553446e-05,
|
| 590 |
+
"loss": 1.1386,
|
| 591 |
"step": 415
|
| 592 |
},
|
| 593 |
{
|
| 594 |
+
"epoch": 0.15755415924223953,
|
| 595 |
+
"grad_norm": 7.96875,
|
| 596 |
+
"learning_rate": 1.916388666975307e-05,
|
| 597 |
+
"loss": 1.064,
|
| 598 |
"step": 420
|
| 599 |
},
|
| 600 |
{
|
| 601 |
+
"epoch": 0.15942980399512333,
|
| 602 |
+
"grad_norm": 9.0,
|
| 603 |
+
"learning_rate": 1.9139403241580403e-05,
|
| 604 |
+
"loss": 1.2345,
|
| 605 |
"step": 425
|
| 606 |
},
|
| 607 |
{
|
| 608 |
+
"epoch": 0.16130544874800712,
|
| 609 |
+
"grad_norm": 7.25,
|
| 610 |
+
"learning_rate": 1.9114582604361368e-05,
|
| 611 |
+
"loss": 1.1021,
|
| 612 |
"step": 430
|
| 613 |
},
|
| 614 |
{
|
| 615 |
+
"epoch": 0.16318109350089094,
|
| 616 |
+
"grad_norm": 9.4375,
|
| 617 |
+
"learning_rate": 1.9089425673882617e-05,
|
| 618 |
+
"loss": 1.1105,
|
| 619 |
"step": 435
|
| 620 |
},
|
| 621 |
{
|
| 622 |
+
"epoch": 0.16505673825377473,
|
| 623 |
+
"grad_norm": 8.375,
|
| 624 |
+
"learning_rate": 1.906393337833872e-05,
|
| 625 |
+
"loss": 1.0213,
|
| 626 |
"step": 440
|
| 627 |
},
|
| 628 |
{
|
| 629 |
+
"epoch": 0.16693238300665855,
|
| 630 |
+
"grad_norm": 6.5625,
|
| 631 |
+
"learning_rate": 1.9038106658297946e-05,
|
| 632 |
+
"loss": 1.2062,
|
| 633 |
"step": 445
|
| 634 |
},
|
| 635 |
{
|
| 636 |
+
"epoch": 0.16880802775954235,
|
| 637 |
+
"grad_norm": 7.6875,
|
| 638 |
+
"learning_rate": 1.9011946466667553e-05,
|
| 639 |
+
"loss": 1.2408,
|
| 640 |
"step": 450
|
| 641 |
},
|
| 642 |
{
|
| 643 |
+
"epoch": 0.17068367251242614,
|
| 644 |
+
"grad_norm": 6.3125,
|
| 645 |
+
"learning_rate": 1.8985453768658613e-05,
|
| 646 |
+
"loss": 1.0678,
|
| 647 |
"step": 455
|
| 648 |
},
|
| 649 |
{
|
| 650 |
+
"epoch": 0.17255931726530996,
|
| 651 |
+
"grad_norm": 7.5,
|
| 652 |
+
"learning_rate": 1.8958629541750422e-05,
|
| 653 |
+
"loss": 1.071,
|
| 654 |
"step": 460
|
| 655 |
},
|
| 656 |
{
|
| 657 |
+
"epoch": 0.17443496201819375,
|
| 658 |
+
"grad_norm": 8.4375,
|
| 659 |
+
"learning_rate": 1.893147477565443e-05,
|
| 660 |
+
"loss": 1.2118,
|
| 661 |
"step": 465
|
| 662 |
},
|
| 663 |
{
|
| 664 |
+
"epoch": 0.17631060677107757,
|
| 665 |
+
"grad_norm": 7.90625,
|
| 666 |
+
"learning_rate": 1.8903990472277707e-05,
|
| 667 |
+
"loss": 1.0279,
|
| 668 |
"step": 470
|
| 669 |
},
|
| 670 |
{
|
| 671 |
+
"epoch": 0.17818625152396136,
|
| 672 |
+
"grad_norm": 8.9375,
|
| 673 |
+
"learning_rate": 1.8876177645685997e-05,
|
| 674 |
+
"loss": 1.1233,
|
| 675 |
"step": 475
|
| 676 |
},
|
| 677 |
{
|
| 678 |
+
"epoch": 0.18006189627684516,
|
| 679 |
+
"grad_norm": 6.78125,
|
| 680 |
+
"learning_rate": 1.8848037322066295e-05,
|
| 681 |
+
"loss": 1.0398,
|
| 682 |
"step": 480
|
| 683 |
},
|
| 684 |
{
|
| 685 |
+
"epoch": 0.18193754102972898,
|
| 686 |
+
"grad_norm": 7.4375,
|
| 687 |
+
"learning_rate": 1.881957053968898e-05,
|
| 688 |
+
"loss": 1.1796,
|
| 689 |
"step": 485
|
| 690 |
},
|
| 691 |
{
|
| 692 |
+
"epoch": 0.18381318578261277,
|
| 693 |
+
"grad_norm": 7.15625,
|
| 694 |
+
"learning_rate": 1.8790778348869516e-05,
|
| 695 |
+
"loss": 1.0767,
|
| 696 |
"step": 490
|
| 697 |
},
|
| 698 |
{
|
| 699 |
+
"epoch": 0.1856888305354966,
|
| 700 |
+
"grad_norm": 8.375,
|
| 701 |
+
"learning_rate": 1.8761661811929686e-05,
|
| 702 |
+
"loss": 1.1285,
|
| 703 |
"step": 495
|
| 704 |
},
|
| 705 |
{
|
| 706 |
+
"epoch": 0.18756447528838038,
|
| 707 |
+
"grad_norm": 8.875,
|
| 708 |
+
"learning_rate": 1.8732222003158423e-05,
|
| 709 |
+
"loss": 1.163,
|
| 710 |
"step": 500
|
| 711 |
},
|
| 712 |
{
|
| 713 |
+
"epoch": 0.18756447528838038,
|
| 714 |
+
"eval_loss": 1.1088175773620605,
|
| 715 |
+
"eval_runtime": 108.1214,
|
| 716 |
+
"eval_samples_per_second": 20.486,
|
| 717 |
+
"eval_steps_per_second": 2.562,
|
| 718 |
"step": 500
|
| 719 |
},
|
| 720 |
{
|
| 721 |
+
"epoch": 0.18944012004126418,
|
| 722 |
+
"grad_norm": 8.0625,
|
| 723 |
+
"learning_rate": 1.870246000877214e-05,
|
| 724 |
+
"loss": 1.031,
|
| 725 |
"step": 505
|
| 726 |
},
|
| 727 |
{
|
| 728 |
+
"epoch": 0.191315764794148,
|
| 729 |
+
"grad_norm": 6.84375,
|
| 730 |
+
"learning_rate": 1.8672376926874668e-05,
|
| 731 |
+
"loss": 1.1465,
|
| 732 |
"step": 510
|
| 733 |
},
|
| 734 |
{
|
| 735 |
+
"epoch": 0.1931914095470318,
|
| 736 |
+
"grad_norm": 6.90625,
|
| 737 |
+
"learning_rate": 1.8641973867416742e-05,
|
| 738 |
+
"loss": 1.1154,
|
| 739 |
"step": 515
|
| 740 |
},
|
| 741 |
{
|
| 742 |
+
"epoch": 0.1950670542999156,
|
| 743 |
+
"grad_norm": 7.375,
|
| 744 |
+
"learning_rate": 1.8611251952155057e-05,
|
| 745 |
+
"loss": 1.0743,
|
| 746 |
"step": 520
|
| 747 |
},
|
| 748 |
{
|
| 749 |
+
"epoch": 0.1969426990527994,
|
| 750 |
+
"grad_norm": 7.40625,
|
| 751 |
+
"learning_rate": 1.8580212314610847e-05,
|
| 752 |
+
"loss": 1.0347,
|
| 753 |
"step": 525
|
| 754 |
},
|
| 755 |
{
|
| 756 |
+
"epoch": 0.1988183438056832,
|
| 757 |
+
"grad_norm": 6.28125,
|
| 758 |
+
"learning_rate": 1.85488561000281e-05,
|
| 759 |
+
"loss": 1.0763,
|
| 760 |
"step": 530
|
| 761 |
},
|
| 762 |
{
|
| 763 |
+
"epoch": 0.20069398855856702,
|
| 764 |
+
"grad_norm": 5.84375,
|
| 765 |
+
"learning_rate": 1.8517184465331288e-05,
|
| 766 |
+
"loss": 1.078,
|
| 767 |
"step": 535
|
| 768 |
},
|
| 769 |
{
|
| 770 |
+
"epoch": 0.2025696333114508,
|
| 771 |
+
"grad_norm": 8.1875,
|
| 772 |
+
"learning_rate": 1.848519857908267e-05,
|
| 773 |
+
"loss": 1.178,
|
| 774 |
"step": 540
|
| 775 |
},
|
| 776 |
{
|
| 777 |
+
"epoch": 0.2044452780643346,
|
| 778 |
+
"grad_norm": 7.375,
|
| 779 |
+
"learning_rate": 1.845289962143918e-05,
|
| 780 |
+
"loss": 1.0804,
|
| 781 |
"step": 545
|
| 782 |
},
|
| 783 |
{
|
| 784 |
+
"epoch": 0.20632092281721842,
|
| 785 |
+
"grad_norm": 7.96875,
|
| 786 |
+
"learning_rate": 1.8420288784108917e-05,
|
| 787 |
+
"loss": 1.1589,
|
| 788 |
"step": 550
|
| 789 |
},
|
| 790 |
{
|
| 791 |
+
"epoch": 0.20819656757010221,
|
| 792 |
+
"grad_norm": 7.375,
|
| 793 |
+
"learning_rate": 1.8387367270307122e-05,
|
| 794 |
+
"loss": 1.1116,
|
| 795 |
"step": 555
|
| 796 |
},
|
| 797 |
{
|
| 798 |
+
"epoch": 0.21007221232298603,
|
| 799 |
+
"grad_norm": 8.1875,
|
| 800 |
+
"learning_rate": 1.835413629471182e-05,
|
| 801 |
+
"loss": 0.9735,
|
| 802 |
"step": 560
|
| 803 |
},
|
| 804 |
{
|
| 805 |
+
"epoch": 0.21194785707586983,
|
| 806 |
+
"grad_norm": 7.625,
|
| 807 |
+
"learning_rate": 1.832059708341899e-05,
|
| 808 |
+
"loss": 1.0991,
|
| 809 |
"step": 565
|
| 810 |
},
|
| 811 |
{
|
| 812 |
+
"epoch": 0.21382350182875362,
|
| 813 |
+
"grad_norm": 9.125,
|
| 814 |
+
"learning_rate": 1.8286750873897338e-05,
|
| 815 |
+
"loss": 1.1227,
|
| 816 |
"step": 570
|
| 817 |
},
|
| 818 |
{
|
| 819 |
+
"epoch": 0.21569914658163744,
|
| 820 |
+
"grad_norm": 10.0,
|
| 821 |
+
"learning_rate": 1.8252598914942624e-05,
|
| 822 |
+
"loss": 0.9956,
|
| 823 |
"step": 575
|
| 824 |
},
|
| 825 |
{
|
| 826 |
+
"epoch": 0.21757479133452123,
|
| 827 |
+
"grad_norm": 7.8125,
|
| 828 |
+
"learning_rate": 1.8218142466631595e-05,
|
| 829 |
+
"loss": 1.0511,
|
| 830 |
"step": 580
|
| 831 |
},
|
| 832 |
{
|
| 833 |
+
"epoch": 0.21945043608740505,
|
| 834 |
+
"grad_norm": 7.0,
|
| 835 |
+
"learning_rate": 1.8183382800275492e-05,
|
| 836 |
+
"loss": 1.1195,
|
| 837 |
"step": 585
|
| 838 |
},
|
| 839 |
{
|
| 840 |
+
"epoch": 0.22132608084028885,
|
| 841 |
+
"grad_norm": 8.125,
|
| 842 |
+
"learning_rate": 1.8148321198373146e-05,
|
| 843 |
+
"loss": 1.0831,
|
| 844 |
"step": 590
|
| 845 |
},
|
| 846 |
{
|
| 847 |
+
"epoch": 0.22320172559317264,
|
| 848 |
+
"grad_norm": 9.0625,
|
| 849 |
+
"learning_rate": 1.8112958954563647e-05,
|
| 850 |
+
"loss": 1.2181,
|
| 851 |
"step": 595
|
| 852 |
},
|
| 853 |
{
|
| 854 |
+
"epoch": 0.22507737034605646,
|
| 855 |
+
"grad_norm": 5.6875,
|
| 856 |
+
"learning_rate": 1.8077297373578625e-05,
|
| 857 |
+
"loss": 1.0144,
|
| 858 |
"step": 600
|
| 859 |
},
|
| 860 |
{
|
| 861 |
+
"epoch": 0.22695301509894025,
|
| 862 |
+
"grad_norm": 7.0,
|
| 863 |
+
"learning_rate": 1.8041337771194124e-05,
|
| 864 |
+
"loss": 0.8084,
|
| 865 |
"step": 605
|
| 866 |
},
|
| 867 |
{
|
| 868 |
+
"epoch": 0.22882865985182407,
|
| 869 |
+
"grad_norm": 6.46875,
|
| 870 |
+
"learning_rate": 1.800508147418201e-05,
|
| 871 |
+
"loss": 1.0292,
|
| 872 |
"step": 610
|
| 873 |
},
|
| 874 |
{
|
| 875 |
+
"epoch": 0.23070430460470787,
|
| 876 |
+
"grad_norm": 7.25,
|
| 877 |
+
"learning_rate": 1.796852982026107e-05,
|
| 878 |
+
"loss": 1.0705,
|
| 879 |
"step": 615
|
| 880 |
},
|
| 881 |
{
|
| 882 |
+
"epoch": 0.23257994935759166,
|
| 883 |
+
"grad_norm": 9.4375,
|
| 884 |
+
"learning_rate": 1.7931684158047623e-05,
|
| 885 |
+
"loss": 1.0863,
|
| 886 |
"step": 620
|
| 887 |
},
|
| 888 |
{
|
| 889 |
+
"epoch": 0.23445559411047548,
|
| 890 |
+
"grad_norm": 6.15625,
|
| 891 |
+
"learning_rate": 1.7894545847005764e-05,
|
| 892 |
+
"loss": 1.1707,
|
| 893 |
"step": 625
|
| 894 |
},
|
| 895 |
{
|
| 896 |
+
"epoch": 0.23633123886335927,
|
| 897 |
+
"grad_norm": 7.71875,
|
| 898 |
+
"learning_rate": 1.7857116257397225e-05,
|
| 899 |
+
"loss": 0.9151,
|
| 900 |
"step": 630
|
| 901 |
},
|
| 902 |
{
|
| 903 |
+
"epoch": 0.2382068836162431,
|
| 904 |
+
"grad_norm": 7.5625,
|
| 905 |
+
"learning_rate": 1.7819396770230796e-05,
|
| 906 |
+
"loss": 1.0119,
|
| 907 |
"step": 635
|
| 908 |
},
|
| 909 |
{
|
| 910 |
+
"epoch": 0.24008252836912689,
|
| 911 |
+
"grad_norm": 7.21875,
|
| 912 |
+
"learning_rate": 1.7781388777211374e-05,
|
| 913 |
+
"loss": 1.1517,
|
| 914 |
"step": 640
|
| 915 |
},
|
| 916 |
{
|
| 917 |
+
"epoch": 0.24195817312201068,
|
| 918 |
+
"grad_norm": 7.96875,
|
| 919 |
+
"learning_rate": 1.7743093680688626e-05,
|
| 920 |
+
"loss": 1.0162,
|
| 921 |
"step": 645
|
| 922 |
},
|
| 923 |
{
|
| 924 |
+
"epoch": 0.2438338178748945,
|
| 925 |
+
"grad_norm": 7.78125,
|
| 926 |
+
"learning_rate": 1.7704512893605247e-05,
|
| 927 |
+
"loss": 1.208,
|
| 928 |
"step": 650
|
| 929 |
},
|
| 930 |
{
|
| 931 |
+
"epoch": 0.2457094626277783,
|
| 932 |
+
"grad_norm": 6.34375,
|
| 933 |
+
"learning_rate": 1.7665647839444807e-05,
|
| 934 |
+
"loss": 1.0252,
|
| 935 |
"step": 655
|
| 936 |
},
|
| 937 |
{
|
| 938 |
+
"epoch": 0.2475851073806621,
|
| 939 |
+
"grad_norm": 7.90625,
|
| 940 |
+
"learning_rate": 1.7626499952179255e-05,
|
| 941 |
+
"loss": 1.1601,
|
| 942 |
"step": 660
|
| 943 |
},
|
| 944 |
{
|
| 945 |
+
"epoch": 0.2494607521335459,
|
| 946 |
+
"grad_norm": 8.625,
|
| 947 |
+
"learning_rate": 1.7587070676215995e-05,
|
| 948 |
+
"loss": 1.1795,
|
| 949 |
"step": 665
|
| 950 |
},
|
| 951 |
{
|
| 952 |
+
"epoch": 0.2513363968864297,
|
| 953 |
+
"grad_norm": 6.59375,
|
| 954 |
+
"learning_rate": 1.75473614663446e-05,
|
| 955 |
+
"loss": 0.9092,
|
| 956 |
"step": 670
|
| 957 |
},
|
| 958 |
{
|
| 959 |
+
"epoch": 0.2532120416393135,
|
| 960 |
+
"grad_norm": 12.5625,
|
| 961 |
+
"learning_rate": 1.750737378768314e-05,
|
| 962 |
+
"loss": 1.1697,
|
| 963 |
"step": 675
|
| 964 |
},
|
| 965 |
{
|
| 966 |
+
"epoch": 0.2550876863921973,
|
| 967 |
+
"grad_norm": 7.59375,
|
| 968 |
+
"learning_rate": 1.7467109115624113e-05,
|
| 969 |
+
"loss": 1.1992,
|
| 970 |
"step": 680
|
| 971 |
},
|
| 972 |
{
|
| 973 |
+
"epoch": 0.25696333114508113,
|
| 974 |
+
"grad_norm": 7.4375,
|
| 975 |
+
"learning_rate": 1.7426568935780007e-05,
|
| 976 |
+
"loss": 1.0365,
|
| 977 |
"step": 685
|
| 978 |
},
|
| 979 |
{
|
| 980 |
+
"epoch": 0.25883897589796495,
|
| 981 |
+
"grad_norm": 7.84375,
|
| 982 |
+
"learning_rate": 1.7385754743928512e-05,
|
| 983 |
+
"loss": 1.2158,
|
| 984 |
"step": 690
|
| 985 |
},
|
| 986 |
{
|
| 987 |
+
"epoch": 0.2607146206508487,
|
| 988 |
+
"grad_norm": 7.5,
|
| 989 |
+
"learning_rate": 1.7344668045957303e-05,
|
| 990 |
+
"loss": 1.1652,
|
| 991 |
"step": 695
|
| 992 |
},
|
| 993 |
{
|
| 994 |
+
"epoch": 0.26259026540373254,
|
| 995 |
+
"grad_norm": 7.1875,
|
| 996 |
+
"learning_rate": 1.730331035780849e-05,
|
| 997 |
+
"loss": 1.1178,
|
| 998 |
"step": 700
|
| 999 |
},
|
| 1000 |
{
|
| 1001 |
+
"epoch": 0.26446591015661636,
|
| 1002 |
+
"grad_norm": 10.375,
|
| 1003 |
+
"learning_rate": 1.726168320542269e-05,
|
| 1004 |
+
"loss": 1.0897,
|
| 1005 |
"step": 705
|
| 1006 |
},
|
| 1007 |
{
|
| 1008 |
+
"epoch": 0.2663415549095001,
|
| 1009 |
+
"grad_norm": 7.625,
|
| 1010 |
+
"learning_rate": 1.7219788124682702e-05,
|
| 1011 |
+
"loss": 1.2076,
|
| 1012 |
"step": 710
|
| 1013 |
},
|
| 1014 |
{
|
| 1015 |
+
"epoch": 0.26821719966238394,
|
| 1016 |
+
"grad_norm": 6.15625,
|
| 1017 |
+
"learning_rate": 1.7177626661356885e-05,
|
| 1018 |
+
"loss": 1.0381,
|
| 1019 |
"step": 715
|
| 1020 |
},
|
| 1021 |
{
|
| 1022 |
+
"epoch": 0.27009284441526776,
|
| 1023 |
+
"grad_norm": 8.25,
|
| 1024 |
+
"learning_rate": 1.713520037104208e-05,
|
| 1025 |
+
"loss": 1.0232,
|
| 1026 |
"step": 720
|
| 1027 |
},
|
| 1028 |
{
|
| 1029 |
+
"epoch": 0.27196848916815153,
|
| 1030 |
+
"grad_norm": 7.4375,
|
| 1031 |
+
"learning_rate": 1.709251081910623e-05,
|
| 1032 |
+
"loss": 1.0218,
|
| 1033 |
"step": 725
|
| 1034 |
},
|
| 1035 |
{
|
| 1036 |
+
"epoch": 0.27384413392103535,
|
| 1037 |
+
"grad_norm": 9.625,
|
| 1038 |
+
"learning_rate": 1.704955958063063e-05,
|
| 1039 |
+
"loss": 1.0518,
|
| 1040 |
"step": 730
|
| 1041 |
},
|
| 1042 |
{
|
| 1043 |
+
"epoch": 0.27571977867391917,
|
| 1044 |
+
"grad_norm": 8.3125,
|
| 1045 |
+
"learning_rate": 1.700634824035182e-05,
|
| 1046 |
+
"loss": 1.043,
|
| 1047 |
"step": 735
|
| 1048 |
},
|
| 1049 |
{
|
| 1050 |
+
"epoch": 0.277595423426803,
|
| 1051 |
+
"grad_norm": 7.0,
|
| 1052 |
+
"learning_rate": 1.696287839260308e-05,
|
| 1053 |
+
"loss": 1.0724,
|
| 1054 |
"step": 740
|
| 1055 |
},
|
| 1056 |
{
|
| 1057 |
+
"epoch": 0.27947106817968675,
|
| 1058 |
+
"grad_norm": 5.84375,
|
| 1059 |
+
"learning_rate": 1.6919151641255642e-05,
|
| 1060 |
+
"loss": 0.9938,
|
| 1061 |
"step": 745
|
| 1062 |
},
|
| 1063 |
{
|
| 1064 |
+
"epoch": 0.2813467129325706,
|
| 1065 |
+
"grad_norm": 9.4375,
|
| 1066 |
+
"learning_rate": 1.6875169599659495e-05,
|
| 1067 |
+
"loss": 1.1153,
|
| 1068 |
"step": 750
|
| 1069 |
},
|
| 1070 |
{
|
| 1071 |
+
"epoch": 0.2832223576854544,
|
| 1072 |
+
"grad_norm": 7.375,
|
| 1073 |
+
"learning_rate": 1.6830933890583863e-05,
|
| 1074 |
+
"loss": 1.1801,
|
| 1075 |
"step": 755
|
| 1076 |
},
|
| 1077 |
{
|
| 1078 |
+
"epoch": 0.28509800243833816,
|
| 1079 |
+
"grad_norm": 7.4375,
|
| 1080 |
+
"learning_rate": 1.6786446146157332e-05,
|
| 1081 |
+
"loss": 1.1175,
|
| 1082 |
"step": 760
|
| 1083 |
},
|
| 1084 |
{
|
| 1085 |
+
"epoch": 0.286973647191222,
|
| 1086 |
+
"grad_norm": 8.0,
|
| 1087 |
+
"learning_rate": 1.6741708007807626e-05,
|
| 1088 |
+
"loss": 1.1015,
|
| 1089 |
"step": 765
|
| 1090 |
},
|
| 1091 |
{
|
| 1092 |
+
"epoch": 0.2888492919441058,
|
| 1093 |
+
"grad_norm": 8.1875,
|
| 1094 |
+
"learning_rate": 1.6696721126201048e-05,
|
| 1095 |
+
"loss": 1.2244,
|
| 1096 |
"step": 770
|
| 1097 |
},
|
| 1098 |
{
|
| 1099 |
+
"epoch": 0.29072493669698957,
|
| 1100 |
+
"grad_norm": 9.5625,
|
| 1101 |
+
"learning_rate": 1.6651487161181577e-05,
|
| 1102 |
+
"loss": 1.0448,
|
| 1103 |
"step": 775
|
| 1104 |
},
|
| 1105 |
{
|
| 1106 |
+
"epoch": 0.2926005814498734,
|
| 1107 |
+
"grad_norm": 8.6875,
|
| 1108 |
+
"learning_rate": 1.6606007781709626e-05,
|
| 1109 |
+
"loss": 1.0295,
|
| 1110 |
"step": 780
|
| 1111 |
},
|
| 1112 |
{
|
| 1113 |
+
"epoch": 0.2944762262027572,
|
| 1114 |
+
"grad_norm": 5.625,
|
| 1115 |
+
"learning_rate": 1.6560284665800464e-05,
|
| 1116 |
+
"loss": 0.9881,
|
| 1117 |
"step": 785
|
| 1118 |
},
|
| 1119 |
{
|
| 1120 |
+
"epoch": 0.29635187095564103,
|
| 1121 |
+
"grad_norm": 10.0625,
|
| 1122 |
+
"learning_rate": 1.6514319500462303e-05,
|
| 1123 |
+
"loss": 1.0681,
|
| 1124 |
"step": 790
|
| 1125 |
},
|
| 1126 |
{
|
| 1127 |
+
"epoch": 0.2982275157085248,
|
| 1128 |
+
"grad_norm": 6.71875,
|
| 1129 |
+
"learning_rate": 1.646811398163405e-05,
|
| 1130 |
+
"loss": 1.0571,
|
| 1131 |
"step": 795
|
| 1132 |
},
|
| 1133 |
{
|
| 1134 |
+
"epoch": 0.3001031604614086,
|
| 1135 |
+
"grad_norm": 5.6875,
|
| 1136 |
+
"learning_rate": 1.642166981412274e-05,
|
| 1137 |
+
"loss": 0.9326,
|
| 1138 |
"step": 800
|
| 1139 |
},
|
| 1140 |
{
|
| 1141 |
+
"epoch": 0.30197880521429243,
|
| 1142 |
+
"grad_norm": 6.5625,
|
| 1143 |
+
"learning_rate": 1.6374988711540634e-05,
|
| 1144 |
+
"loss": 1.2067,
|
| 1145 |
"step": 805
|
| 1146 |
},
|
| 1147 |
{
|
| 1148 |
+
"epoch": 0.3038544499671762,
|
| 1149 |
+
"grad_norm": 7.75,
|
| 1150 |
+
"learning_rate": 1.6328072396241993e-05,
|
| 1151 |
+
"loss": 1.1231,
|
| 1152 |
"step": 810
|
| 1153 |
},
|
| 1154 |
{
|
| 1155 |
+
"epoch": 0.30573009472006,
|
| 1156 |
+
"grad_norm": 8.1875,
|
| 1157 |
+
"learning_rate": 1.6280922599259515e-05,
|
| 1158 |
+
"loss": 1.2164,
|
| 1159 |
"step": 815
|
| 1160 |
},
|
| 1161 |
{
|
| 1162 |
+
"epoch": 0.30760573947294384,
|
| 1163 |
+
"grad_norm": 9.5625,
|
| 1164 |
+
"learning_rate": 1.62335410602405e-05,
|
| 1165 |
+
"loss": 1.0431,
|
| 1166 |
"step": 820
|
| 1167 |
},
|
| 1168 |
{
|
| 1169 |
+
"epoch": 0.3094813842258276,
|
| 1170 |
+
"grad_norm": 9.3125,
|
| 1171 |
+
"learning_rate": 1.6185929527382628e-05,
|
| 1172 |
+
"loss": 1.2427,
|
| 1173 |
"step": 825
|
| 1174 |
},
|
| 1175 |
{
|
| 1176 |
+
"epoch": 0.3113570289787114,
|
| 1177 |
+
"grad_norm": 7.125,
|
| 1178 |
+
"learning_rate": 1.6138089757369475e-05,
|
| 1179 |
+
"loss": 1.1003,
|
| 1180 |
"step": 830
|
| 1181 |
},
|
| 1182 |
{
|
| 1183 |
+
"epoch": 0.31323267373159525,
|
| 1184 |
+
"grad_norm": 5.78125,
|
| 1185 |
+
"learning_rate": 1.6090023515305703e-05,
|
| 1186 |
+
"loss": 1.1261,
|
| 1187 |
"step": 835
|
| 1188 |
},
|
| 1189 |
{
|
| 1190 |
+
"epoch": 0.31510831848447907,
|
| 1191 |
+
"grad_norm": 5.96875,
|
| 1192 |
+
"learning_rate": 1.604173257465192e-05,
|
| 1193 |
+
"loss": 0.9375,
|
| 1194 |
"step": 840
|
| 1195 |
},
|
| 1196 |
{
|
| 1197 |
+
"epoch": 0.31698396323736283,
|
| 1198 |
+
"grad_norm": 7.875,
|
| 1199 |
+
"learning_rate": 1.5993218717159253e-05,
|
| 1200 |
+
"loss": 1.0321,
|
| 1201 |
"step": 845
|
| 1202 |
},
|
| 1203 |
{
|
| 1204 |
+
"epoch": 0.31885960799024665,
|
| 1205 |
+
"grad_norm": 8.0625,
|
| 1206 |
+
"learning_rate": 1.5944483732803612e-05,
|
| 1207 |
+
"loss": 1.1149,
|
| 1208 |
"step": 850
|
| 1209 |
},
|
| 1210 |
{
|
| 1211 |
+
"epoch": 0.3207352527431305,
|
| 1212 |
+
"grad_norm": 10.125,
|
| 1213 |
+
"learning_rate": 1.5895529419719645e-05,
|
| 1214 |
+
"loss": 0.8962,
|
| 1215 |
"step": 855
|
| 1216 |
},
|
| 1217 |
{
|
| 1218 |
+
"epoch": 0.32261089749601424,
|
| 1219 |
+
"grad_norm": 7.5,
|
| 1220 |
+
"learning_rate": 1.5846357584134385e-05,
|
| 1221 |
+
"loss": 0.9511,
|
| 1222 |
"step": 860
|
| 1223 |
},
|
| 1224 |
{
|
| 1225 |
+
"epoch": 0.32448654224889806,
|
| 1226 |
+
"grad_norm": 6.375,
|
| 1227 |
+
"learning_rate": 1.579697004030061e-05,
|
| 1228 |
+
"loss": 1.0865,
|
| 1229 |
"step": 865
|
| 1230 |
},
|
| 1231 |
{
|
| 1232 |
+
"epoch": 0.3263621870017819,
|
| 1233 |
+
"grad_norm": 8.0625,
|
| 1234 |
+
"learning_rate": 1.5747368610429933e-05,
|
| 1235 |
+
"loss": 0.9981,
|
| 1236 |
"step": 870
|
| 1237 |
},
|
| 1238 |
{
|
| 1239 |
+
"epoch": 0.32823783175466564,
|
| 1240 |
+
"grad_norm": 6.90625,
|
| 1241 |
+
"learning_rate": 1.569755512462551e-05,
|
| 1242 |
+
"loss": 1.1338,
|
| 1243 |
"step": 875
|
| 1244 |
},
|
| 1245 |
{
|
| 1246 |
+
"epoch": 0.33011347650754946,
|
| 1247 |
+
"grad_norm": 6.6875,
|
| 1248 |
+
"learning_rate": 1.5647531420814574e-05,
|
| 1249 |
+
"loss": 0.9559,
|
| 1250 |
"step": 880
|
| 1251 |
},
|
| 1252 |
{
|
| 1253 |
+
"epoch": 0.3319891212604333,
|
| 1254 |
+
"grad_norm": 7.59375,
|
| 1255 |
+
"learning_rate": 1.559729934468059e-05,
|
| 1256 |
+
"loss": 0.949,
|
| 1257 |
"step": 885
|
| 1258 |
},
|
| 1259 |
{
|
| 1260 |
+
"epoch": 0.3338647660133171,
|
| 1261 |
+
"grad_norm": 8.75,
|
| 1262 |
+
"learning_rate": 1.5546860749595165e-05,
|
| 1263 |
+
"loss": 1.0738,
|
| 1264 |
"step": 890
|
| 1265 |
},
|
| 1266 |
{
|
| 1267 |
+
"epoch": 0.33574041076620087,
|
| 1268 |
+
"grad_norm": 10.6875,
|
| 1269 |
+
"learning_rate": 1.5496217496549673e-05,
|
| 1270 |
+
"loss": 1.2675,
|
| 1271 |
"step": 895
|
| 1272 |
},
|
| 1273 |
{
|
| 1274 |
+
"epoch": 0.3376160555190847,
|
| 1275 |
+
"grad_norm": 8.125,
|
| 1276 |
+
"learning_rate": 1.5445371454086574e-05,
|
| 1277 |
+
"loss": 1.1757,
|
| 1278 |
"step": 900
|
| 1279 |
},
|
| 1280 |
{
|
| 1281 |
+
"epoch": 0.3394917002719685,
|
| 1282 |
+
"grad_norm": 7.59375,
|
| 1283 |
+
"learning_rate": 1.5394324498230487e-05,
|
| 1284 |
+
"loss": 1.1336,
|
| 1285 |
"step": 905
|
| 1286 |
},
|
| 1287 |
{
|
| 1288 |
+
"epoch": 0.3413673450248523,
|
| 1289 |
+
"grad_norm": 7.65625,
|
| 1290 |
+
"learning_rate": 1.5343078512418977e-05,
|
| 1291 |
+
"loss": 1.008,
|
| 1292 |
"step": 910
|
| 1293 |
},
|
| 1294 |
{
|
| 1295 |
+
"epoch": 0.3432429897777361,
|
| 1296 |
+
"grad_norm": 7.40625,
|
| 1297 |
+
"learning_rate": 1.529163538743303e-05,
|
| 1298 |
+
"loss": 1.1445,
|
| 1299 |
"step": 915
|
| 1300 |
},
|
| 1301 |
{
|
| 1302 |
+
"epoch": 0.3451186345306199,
|
| 1303 |
+
"grad_norm": 6.5,
|
| 1304 |
+
"learning_rate": 1.5239997021327343e-05,
|
| 1305 |
+
"loss": 1.0209,
|
| 1306 |
"step": 920
|
| 1307 |
},
|
| 1308 |
{
|
| 1309 |
+
"epoch": 0.3469942792835037,
|
| 1310 |
+
"grad_norm": 6.59375,
|
| 1311 |
+
"learning_rate": 1.518816531936024e-05,
|
| 1312 |
+
"loss": 1.0617,
|
| 1313 |
"step": 925
|
| 1314 |
},
|
| 1315 |
{
|
| 1316 |
+
"epoch": 0.3488699240363875,
|
| 1317 |
+
"grad_norm": 7.90625,
|
| 1318 |
+
"learning_rate": 1.5136142193923413e-05,
|
| 1319 |
+
"loss": 1.0885,
|
| 1320 |
"step": 930
|
| 1321 |
},
|
| 1322 |
{
|
| 1323 |
+
"epoch": 0.3507455687892713,
|
| 1324 |
+
"grad_norm": 7.875,
|
| 1325 |
+
"learning_rate": 1.5083929564471344e-05,
|
| 1326 |
+
"loss": 0.9534,
|
| 1327 |
"step": 935
|
| 1328 |
},
|
| 1329 |
{
|
| 1330 |
+
"epoch": 0.35262121354215514,
|
| 1331 |
+
"grad_norm": 6.8125,
|
| 1332 |
+
"learning_rate": 1.5031529357450487e-05,
|
| 1333 |
+
"loss": 0.9802,
|
| 1334 |
"step": 940
|
| 1335 |
},
|
| 1336 |
{
|
| 1337 |
+
"epoch": 0.3544968582950389,
|
| 1338 |
+
"grad_norm": 11.375,
|
| 1339 |
+
"learning_rate": 1.4978943506228198e-05,
|
| 1340 |
+
"loss": 1.149,
|
| 1341 |
"step": 945
|
| 1342 |
},
|
| 1343 |
{
|
| 1344 |
+
"epoch": 0.35637250304792273,
|
| 1345 |
+
"grad_norm": 6.25,
|
| 1346 |
+
"learning_rate": 1.4926173951021384e-05,
|
| 1347 |
+
"loss": 1.179,
|
| 1348 |
"step": 950
|
| 1349 |
},
|
| 1350 |
{
|
| 1351 |
+
"epoch": 0.35824814780080655,
|
| 1352 |
+
"grad_norm": 9.0625,
|
| 1353 |
+
"learning_rate": 1.4873222638824938e-05,
|
| 1354 |
+
"loss": 0.9677,
|
| 1355 |
"step": 955
|
| 1356 |
},
|
| 1357 |
{
|
| 1358 |
+
"epoch": 0.3601237925536903,
|
| 1359 |
+
"grad_norm": 7.75,
|
| 1360 |
+
"learning_rate": 1.4820091523339883e-05,
|
| 1361 |
+
"loss": 1.0542,
|
| 1362 |
"step": 960
|
| 1363 |
},
|
| 1364 |
{
|
| 1365 |
+
"epoch": 0.36199943730657413,
|
| 1366 |
+
"grad_norm": 7.0,
|
| 1367 |
+
"learning_rate": 1.4766782564901299e-05,
|
| 1368 |
+
"loss": 0.9912,
|
| 1369 |
"step": 965
|
| 1370 |
},
|
| 1371 |
{
|
| 1372 |
+
"epoch": 0.36387508205945795,
|
| 1373 |
+
"grad_norm": 8.5,
|
| 1374 |
+
"learning_rate": 1.471329773040599e-05,
|
| 1375 |
+
"loss": 1.1461,
|
| 1376 |
"step": 970
|
| 1377 |
},
|
| 1378 |
{
|
| 1379 |
+
"epoch": 0.3657507268123417,
|
| 1380 |
+
"grad_norm": 9.25,
|
| 1381 |
+
"learning_rate": 1.465963899323992e-05,
|
| 1382 |
+
"loss": 1.1274,
|
| 1383 |
"step": 975
|
| 1384 |
},
|
| 1385 |
{
|
| 1386 |
+
"epoch": 0.36762637156522554,
|
| 1387 |
+
"grad_norm": 7.03125,
|
| 1388 |
+
"learning_rate": 1.4605808333205387e-05,
|
| 1389 |
+
"loss": 1.0867,
|
| 1390 |
"step": 980
|
| 1391 |
},
|
| 1392 |
{
|
| 1393 |
+
"epoch": 0.36950201631810936,
|
| 1394 |
+
"grad_norm": 8.875,
|
| 1395 |
+
"learning_rate": 1.4551807736447996e-05,
|
| 1396 |
+
"loss": 1.0081,
|
| 1397 |
"step": 985
|
| 1398 |
},
|
| 1399 |
{
|
| 1400 |
+
"epoch": 0.3713776610709932,
|
| 1401 |
+
"grad_norm": 6.96875,
|
| 1402 |
+
"learning_rate": 1.4497639195383362e-05,
|
| 1403 |
+
"loss": 0.9978,
|
| 1404 |
"step": 990
|
| 1405 |
},
|
| 1406 |
{
|
| 1407 |
+
"epoch": 0.37325330582387695,
|
| 1408 |
+
"grad_norm": 7.875,
|
| 1409 |
+
"learning_rate": 1.4443304708623598e-05,
|
| 1410 |
+
"loss": 0.9439,
|
| 1411 |
"step": 995
|
| 1412 |
},
|
| 1413 |
{
|
| 1414 |
+
"epoch": 0.37512895057676077,
|
| 1415 |
+
"grad_norm": 7.1875,
|
| 1416 |
+
"learning_rate": 1.4388806280903591e-05,
|
| 1417 |
+
"loss": 0.9749,
|
| 1418 |
"step": 1000
|
| 1419 |
},
|
| 1420 |
{
|
| 1421 |
+
"epoch": 0.37512895057676077,
|
| 1422 |
+
"eval_loss": 1.0913933515548706,
|
| 1423 |
+
"eval_runtime": 107.8156,
|
| 1424 |
+
"eval_samples_per_second": 20.544,
|
| 1425 |
+
"eval_steps_per_second": 2.569,
|
| 1426 |
"step": 1000
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1427 |
}
|
| 1428 |
],
|
| 1429 |
"logging_steps": 5,
|
| 1430 |
+
"max_steps": 2666,
|
| 1431 |
"num_input_tokens_seen": 0,
|
| 1432 |
"num_train_epochs": 1,
|
| 1433 |
"save_steps": 500,
|
|
|
|
| 1435 |
"EarlyStoppingCallback": {
|
| 1436 |
"args": {
|
| 1437 |
"early_stopping_patience": 3,
|
| 1438 |
+
"early_stopping_threshold": 0.001
|
| 1439 |
},
|
| 1440 |
"attributes": {
|
| 1441 |
+
"early_stopping_patience_counter": 0
|
| 1442 |
}
|
| 1443 |
},
|
| 1444 |
"TrainerControl": {
|
|
|
|
| 1452 |
"attributes": {}
|
| 1453 |
}
|
| 1454 |
},
|
| 1455 |
+
"total_flos": 4.3299712794624e+16,
|
| 1456 |
"train_batch_size": 4,
|
| 1457 |
"trial_name": null,
|
| 1458 |
"trial_params": null
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5304
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:66aac7b0763919a1f3f8b3a5c5a28e87094299c3e382fe15d07c8e8d2e5c782c
|
| 3 |
size 5304
|