Upload folder using huggingface_hub
Browse files- adapter_model.bin +1 -1
- optimizer.pt +1 -1
- rng_state.pth +1 -1
- scheduler.pt +1 -1
- trainer_state.json +288 -738
- training_args.bin +1 -1
adapter_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 134264397
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e4ac17905d11743731aa5916a8cb914004fed7e7fe48d6a44fb8d7510be4726b
|
| 3 |
size 134264397
|
optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 268514565
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5398a7ca15848f459c2b3fc626b22b7736a912a760ecda6629a63f85a11d02e2
|
| 3 |
size 268514565
|
rng_state.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14575
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1d66d8a4cb52fa2ccc11ba839fd1addd3d53bc2453320560122d1405e7014e60
|
| 3 |
size 14575
|
scheduler.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 627
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e2c1b52c97a7a8218f3e120cb3e6f62943bb3c9d99f61adb685463e5b497c02d
|
| 3 |
size 627
|
trainer_state.json
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
-
"epoch": 0.
|
| 5 |
"eval_steps": 500,
|
| 6 |
-
"global_step":
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
@@ -11,1359 +11,909 @@
|
|
| 11 |
{
|
| 12 |
"epoch": 0.0,
|
| 13 |
"learning_rate": 2e-05,
|
| 14 |
-
"loss":
|
| 15 |
"step": 2
|
| 16 |
},
|
| 17 |
{
|
| 18 |
"epoch": 0.0,
|
| 19 |
"learning_rate": 2e-05,
|
| 20 |
-
"loss":
|
| 21 |
"step": 4
|
| 22 |
},
|
| 23 |
{
|
| 24 |
"epoch": 0.0,
|
| 25 |
"learning_rate": 2e-05,
|
| 26 |
-
"loss":
|
| 27 |
"step": 6
|
| 28 |
},
|
| 29 |
{
|
| 30 |
"epoch": 0.0,
|
| 31 |
"learning_rate": 2e-05,
|
| 32 |
-
"loss":
|
| 33 |
"step": 8
|
| 34 |
},
|
| 35 |
{
|
| 36 |
"epoch": 0.0,
|
| 37 |
"learning_rate": 2e-05,
|
| 38 |
-
"loss":
|
| 39 |
"step": 10
|
| 40 |
},
|
| 41 |
{
|
| 42 |
-
"epoch": 0.
|
| 43 |
"learning_rate": 2e-05,
|
| 44 |
-
"loss":
|
| 45 |
"step": 12
|
| 46 |
},
|
| 47 |
{
|
| 48 |
-
"epoch": 0.
|
| 49 |
"learning_rate": 2e-05,
|
| 50 |
-
"loss":
|
| 51 |
"step": 14
|
| 52 |
},
|
| 53 |
{
|
| 54 |
-
"epoch": 0.
|
| 55 |
"learning_rate": 2e-05,
|
| 56 |
-
"loss":
|
| 57 |
"step": 16
|
| 58 |
},
|
| 59 |
{
|
| 60 |
"epoch": 0.01,
|
| 61 |
"learning_rate": 2e-05,
|
| 62 |
-
"loss":
|
| 63 |
"step": 18
|
| 64 |
},
|
| 65 |
{
|
| 66 |
"epoch": 0.01,
|
| 67 |
"learning_rate": 2e-05,
|
| 68 |
-
"loss":
|
| 69 |
"step": 20
|
| 70 |
},
|
| 71 |
{
|
| 72 |
"epoch": 0.01,
|
| 73 |
"learning_rate": 2e-05,
|
| 74 |
-
"loss":
|
| 75 |
"step": 22
|
| 76 |
},
|
| 77 |
{
|
| 78 |
"epoch": 0.01,
|
| 79 |
"learning_rate": 2e-05,
|
| 80 |
-
"loss":
|
| 81 |
"step": 24
|
| 82 |
},
|
| 83 |
{
|
| 84 |
"epoch": 0.01,
|
| 85 |
"learning_rate": 2e-05,
|
| 86 |
-
"loss":
|
| 87 |
"step": 26
|
| 88 |
},
|
| 89 |
{
|
| 90 |
"epoch": 0.01,
|
| 91 |
"learning_rate": 2e-05,
|
| 92 |
-
"loss":
|
| 93 |
"step": 28
|
| 94 |
},
|
| 95 |
{
|
| 96 |
"epoch": 0.01,
|
| 97 |
"learning_rate": 2e-05,
|
| 98 |
-
"loss": 1.
|
| 99 |
"step": 30
|
| 100 |
},
|
| 101 |
{
|
| 102 |
"epoch": 0.01,
|
| 103 |
"learning_rate": 2e-05,
|
| 104 |
-
"loss":
|
| 105 |
"step": 32
|
| 106 |
},
|
| 107 |
{
|
| 108 |
"epoch": 0.01,
|
| 109 |
"learning_rate": 2e-05,
|
| 110 |
-
"loss":
|
| 111 |
"step": 34
|
| 112 |
},
|
| 113 |
{
|
| 114 |
-
"epoch": 0.
|
| 115 |
"learning_rate": 2e-05,
|
| 116 |
-
"loss": 1.
|
| 117 |
"step": 36
|
| 118 |
},
|
| 119 |
{
|
| 120 |
-
"epoch": 0.
|
| 121 |
"learning_rate": 2e-05,
|
| 122 |
-
"loss": 1.
|
| 123 |
"step": 38
|
| 124 |
},
|
| 125 |
{
|
| 126 |
-
"epoch": 0.
|
| 127 |
"learning_rate": 2e-05,
|
| 128 |
-
"loss":
|
| 129 |
"step": 40
|
| 130 |
},
|
| 131 |
{
|
| 132 |
-
"epoch": 0.
|
| 133 |
"learning_rate": 2e-05,
|
| 134 |
-
"loss":
|
| 135 |
"step": 42
|
| 136 |
},
|
| 137 |
{
|
| 138 |
-
"epoch": 0.
|
| 139 |
"learning_rate": 2e-05,
|
| 140 |
-
"loss":
|
| 141 |
"step": 44
|
| 142 |
},
|
| 143 |
{
|
| 144 |
-
"epoch": 0.
|
| 145 |
"learning_rate": 2e-05,
|
| 146 |
-
"loss":
|
| 147 |
"step": 46
|
| 148 |
},
|
| 149 |
{
|
| 150 |
-
"epoch": 0.
|
| 151 |
"learning_rate": 2e-05,
|
| 152 |
-
"loss":
|
| 153 |
"step": 48
|
| 154 |
},
|
| 155 |
{
|
| 156 |
-
"epoch": 0.
|
| 157 |
"learning_rate": 2e-05,
|
| 158 |
-
"loss":
|
| 159 |
"step": 50
|
| 160 |
},
|
| 161 |
{
|
| 162 |
-
"epoch": 0.
|
| 163 |
"learning_rate": 2e-05,
|
| 164 |
-
"loss": 1.
|
| 165 |
"step": 52
|
| 166 |
},
|
| 167 |
{
|
| 168 |
"epoch": 0.02,
|
| 169 |
"learning_rate": 2e-05,
|
| 170 |
-
"loss": 1.
|
| 171 |
"step": 54
|
| 172 |
},
|
| 173 |
{
|
| 174 |
"epoch": 0.02,
|
| 175 |
"learning_rate": 2e-05,
|
| 176 |
-
"loss": 1.
|
| 177 |
"step": 56
|
| 178 |
},
|
| 179 |
{
|
| 180 |
-
"epoch": 0.
|
| 181 |
"learning_rate": 2e-05,
|
| 182 |
-
"loss": 1.
|
| 183 |
"step": 58
|
| 184 |
},
|
| 185 |
{
|
| 186 |
-
"epoch": 0.
|
| 187 |
"learning_rate": 2e-05,
|
| 188 |
-
"loss": 1.
|
| 189 |
"step": 60
|
| 190 |
},
|
| 191 |
{
|
| 192 |
-
"epoch": 0.
|
| 193 |
"learning_rate": 2e-05,
|
| 194 |
-
"loss": 1.
|
| 195 |
"step": 62
|
| 196 |
},
|
| 197 |
{
|
| 198 |
-
"epoch": 0.
|
| 199 |
"learning_rate": 2e-05,
|
| 200 |
-
"loss": 1.
|
| 201 |
"step": 64
|
| 202 |
},
|
| 203 |
{
|
| 204 |
-
"epoch": 0.
|
| 205 |
"learning_rate": 2e-05,
|
| 206 |
-
"loss": 1.
|
| 207 |
"step": 66
|
| 208 |
},
|
| 209 |
{
|
| 210 |
-
"epoch": 0.
|
| 211 |
"learning_rate": 2e-05,
|
| 212 |
-
"loss": 1.
|
| 213 |
"step": 68
|
| 214 |
},
|
| 215 |
{
|
| 216 |
-
"epoch": 0.
|
| 217 |
"learning_rate": 2e-05,
|
| 218 |
-
"loss": 1.
|
| 219 |
"step": 70
|
| 220 |
},
|
| 221 |
{
|
| 222 |
-
"epoch": 0.
|
| 223 |
"learning_rate": 2e-05,
|
| 224 |
-
"loss": 1.
|
| 225 |
"step": 72
|
| 226 |
},
|
| 227 |
{
|
| 228 |
-
"epoch": 0.
|
| 229 |
"learning_rate": 2e-05,
|
| 230 |
-
"loss": 1.
|
| 231 |
"step": 74
|
| 232 |
},
|
| 233 |
{
|
| 234 |
-
"epoch": 0.
|
| 235 |
"learning_rate": 2e-05,
|
| 236 |
-
"loss": 1.
|
| 237 |
"step": 76
|
| 238 |
},
|
| 239 |
{
|
| 240 |
-
"epoch": 0.
|
| 241 |
"learning_rate": 2e-05,
|
| 242 |
-
"loss": 1.
|
| 243 |
"step": 78
|
| 244 |
},
|
| 245 |
{
|
| 246 |
-
"epoch": 0.
|
| 247 |
"learning_rate": 2e-05,
|
| 248 |
-
"loss": 1.
|
| 249 |
"step": 80
|
| 250 |
},
|
| 251 |
{
|
| 252 |
-
"epoch": 0.
|
| 253 |
"learning_rate": 2e-05,
|
| 254 |
-
"loss": 1.
|
| 255 |
"step": 82
|
| 256 |
},
|
| 257 |
{
|
| 258 |
-
"epoch": 0.
|
| 259 |
"learning_rate": 2e-05,
|
| 260 |
-
"loss": 1.
|
| 261 |
"step": 84
|
| 262 |
},
|
| 263 |
{
|
| 264 |
-
"epoch": 0.
|
| 265 |
"learning_rate": 2e-05,
|
| 266 |
-
"loss": 1.
|
| 267 |
"step": 86
|
| 268 |
},
|
| 269 |
{
|
| 270 |
-
"epoch": 0.
|
| 271 |
"learning_rate": 2e-05,
|
| 272 |
-
"loss": 1.
|
| 273 |
"step": 88
|
| 274 |
},
|
| 275 |
{
|
| 276 |
-
"epoch": 0.
|
| 277 |
"learning_rate": 2e-05,
|
| 278 |
-
"loss": 1.
|
| 279 |
"step": 90
|
| 280 |
},
|
| 281 |
{
|
| 282 |
-
"epoch": 0.
|
| 283 |
"learning_rate": 2e-05,
|
| 284 |
-
"loss": 1.
|
| 285 |
"step": 92
|
| 286 |
},
|
| 287 |
{
|
| 288 |
-
"epoch": 0.
|
| 289 |
"learning_rate": 2e-05,
|
| 290 |
-
"loss":
|
| 291 |
"step": 94
|
| 292 |
},
|
| 293 |
{
|
| 294 |
-
"epoch": 0.
|
| 295 |
"learning_rate": 2e-05,
|
| 296 |
-
"loss":
|
| 297 |
"step": 96
|
| 298 |
},
|
| 299 |
{
|
| 300 |
-
"epoch": 0.
|
| 301 |
"learning_rate": 2e-05,
|
| 302 |
-
"loss":
|
| 303 |
"step": 98
|
| 304 |
},
|
| 305 |
{
|
| 306 |
-
"epoch": 0.
|
| 307 |
"learning_rate": 2e-05,
|
| 308 |
-
"loss":
|
| 309 |
"step": 100
|
| 310 |
},
|
| 311 |
{
|
| 312 |
-
"epoch": 0.
|
| 313 |
"learning_rate": 2e-05,
|
| 314 |
-
"loss": 1.
|
| 315 |
"step": 102
|
| 316 |
},
|
| 317 |
{
|
| 318 |
-
"epoch": 0.
|
| 319 |
"learning_rate": 2e-05,
|
| 320 |
-
"loss": 1.
|
| 321 |
"step": 104
|
| 322 |
},
|
| 323 |
{
|
| 324 |
-
"epoch": 0.
|
| 325 |
"learning_rate": 2e-05,
|
| 326 |
-
"loss": 1.
|
| 327 |
"step": 106
|
| 328 |
},
|
| 329 |
{
|
| 330 |
-
"epoch": 0.
|
| 331 |
"learning_rate": 2e-05,
|
| 332 |
-
"loss": 1.
|
| 333 |
"step": 108
|
| 334 |
},
|
| 335 |
{
|
| 336 |
-
"epoch": 0.
|
| 337 |
"learning_rate": 2e-05,
|
| 338 |
-
"loss": 1.
|
| 339 |
"step": 110
|
| 340 |
},
|
| 341 |
{
|
| 342 |
-
"epoch": 0.
|
| 343 |
"learning_rate": 2e-05,
|
| 344 |
-
"loss": 1.
|
| 345 |
"step": 112
|
| 346 |
},
|
| 347 |
{
|
| 348 |
-
"epoch": 0.
|
| 349 |
"learning_rate": 2e-05,
|
| 350 |
-
"loss": 1.
|
| 351 |
"step": 114
|
| 352 |
},
|
| 353 |
{
|
| 354 |
-
"epoch": 0.
|
| 355 |
"learning_rate": 2e-05,
|
| 356 |
-
"loss": 1.
|
| 357 |
"step": 116
|
| 358 |
},
|
| 359 |
{
|
| 360 |
-
"epoch": 0.
|
| 361 |
"learning_rate": 2e-05,
|
| 362 |
-
"loss": 1.
|
| 363 |
"step": 118
|
| 364 |
},
|
| 365 |
{
|
| 366 |
-
"epoch": 0.
|
| 367 |
"learning_rate": 2e-05,
|
| 368 |
-
"loss": 1.
|
| 369 |
"step": 120
|
| 370 |
},
|
| 371 |
{
|
| 372 |
-
"epoch": 0.
|
| 373 |
"learning_rate": 2e-05,
|
| 374 |
-
"loss": 1.
|
| 375 |
"step": 122
|
| 376 |
},
|
| 377 |
{
|
| 378 |
-
"epoch": 0.
|
| 379 |
"learning_rate": 2e-05,
|
| 380 |
-
"loss": 1.
|
| 381 |
"step": 124
|
| 382 |
},
|
| 383 |
{
|
| 384 |
-
"epoch": 0.
|
| 385 |
"learning_rate": 2e-05,
|
| 386 |
-
"loss": 1.
|
| 387 |
"step": 126
|
| 388 |
},
|
| 389 |
{
|
| 390 |
-
"epoch": 0.
|
| 391 |
"learning_rate": 2e-05,
|
| 392 |
-
"loss": 1.
|
| 393 |
"step": 128
|
| 394 |
},
|
| 395 |
{
|
| 396 |
-
"epoch": 0.
|
| 397 |
"learning_rate": 2e-05,
|
| 398 |
-
"loss": 1.
|
| 399 |
"step": 130
|
| 400 |
},
|
| 401 |
{
|
| 402 |
-
"epoch": 0.
|
| 403 |
"learning_rate": 2e-05,
|
| 404 |
-
"loss": 1.
|
| 405 |
"step": 132
|
| 406 |
},
|
| 407 |
{
|
| 408 |
-
"epoch": 0.
|
| 409 |
"learning_rate": 2e-05,
|
| 410 |
-
"loss": 1.
|
| 411 |
"step": 134
|
| 412 |
},
|
| 413 |
{
|
| 414 |
-
"epoch": 0.
|
| 415 |
"learning_rate": 2e-05,
|
| 416 |
-
"loss": 1.
|
| 417 |
"step": 136
|
| 418 |
},
|
| 419 |
{
|
| 420 |
-
"epoch": 0.
|
| 421 |
"learning_rate": 2e-05,
|
| 422 |
-
"loss": 1.
|
| 423 |
"step": 138
|
| 424 |
},
|
| 425 |
{
|
| 426 |
-
"epoch": 0.
|
| 427 |
"learning_rate": 2e-05,
|
| 428 |
-
"loss": 1.
|
| 429 |
"step": 140
|
| 430 |
},
|
| 431 |
{
|
| 432 |
-
"epoch": 0.
|
| 433 |
"learning_rate": 2e-05,
|
| 434 |
-
"loss": 1.
|
| 435 |
"step": 142
|
| 436 |
},
|
| 437 |
{
|
| 438 |
-
"epoch": 0.
|
| 439 |
"learning_rate": 2e-05,
|
| 440 |
-
"loss": 1.
|
| 441 |
"step": 144
|
| 442 |
},
|
| 443 |
{
|
| 444 |
-
"epoch": 0.
|
| 445 |
"learning_rate": 2e-05,
|
| 446 |
-
"loss":
|
| 447 |
"step": 146
|
| 448 |
},
|
| 449 |
{
|
| 450 |
-
"epoch": 0.
|
| 451 |
"learning_rate": 2e-05,
|
| 452 |
-
"loss":
|
| 453 |
"step": 148
|
| 454 |
},
|
| 455 |
{
|
| 456 |
-
"epoch": 0.
|
| 457 |
"learning_rate": 2e-05,
|
| 458 |
-
"loss":
|
| 459 |
"step": 150
|
| 460 |
},
|
| 461 |
{
|
| 462 |
-
"epoch": 0.
|
| 463 |
"learning_rate": 2e-05,
|
| 464 |
-
"loss": 1.
|
| 465 |
"step": 152
|
| 466 |
},
|
| 467 |
{
|
| 468 |
-
"epoch": 0.
|
| 469 |
"learning_rate": 2e-05,
|
| 470 |
-
"loss": 1.
|
| 471 |
"step": 154
|
| 472 |
},
|
| 473 |
{
|
| 474 |
-
"epoch": 0.
|
| 475 |
"learning_rate": 2e-05,
|
| 476 |
-
"loss": 1.
|
| 477 |
"step": 156
|
| 478 |
},
|
| 479 |
{
|
| 480 |
-
"epoch": 0.
|
| 481 |
"learning_rate": 2e-05,
|
| 482 |
-
"loss": 1.
|
| 483 |
"step": 158
|
| 484 |
},
|
| 485 |
{
|
| 486 |
-
"epoch": 0.
|
| 487 |
"learning_rate": 2e-05,
|
| 488 |
-
"loss": 1.
|
| 489 |
"step": 160
|
| 490 |
},
|
| 491 |
{
|
| 492 |
-
"epoch": 0.
|
| 493 |
"learning_rate": 2e-05,
|
| 494 |
-
"loss": 1.
|
| 495 |
"step": 162
|
| 496 |
},
|
| 497 |
{
|
| 498 |
-
"epoch": 0.
|
| 499 |
"learning_rate": 2e-05,
|
| 500 |
-
"loss": 1.
|
| 501 |
"step": 164
|
| 502 |
},
|
| 503 |
{
|
| 504 |
-
"epoch": 0.
|
| 505 |
"learning_rate": 2e-05,
|
| 506 |
-
"loss": 1.
|
| 507 |
"step": 166
|
| 508 |
},
|
| 509 |
{
|
| 510 |
-
"epoch": 0.
|
| 511 |
"learning_rate": 2e-05,
|
| 512 |
-
"loss": 1.
|
| 513 |
"step": 168
|
| 514 |
},
|
| 515 |
{
|
| 516 |
-
"epoch": 0.
|
| 517 |
"learning_rate": 2e-05,
|
| 518 |
-
"loss": 1.
|
| 519 |
"step": 170
|
| 520 |
},
|
| 521 |
{
|
| 522 |
-
"epoch": 0.
|
| 523 |
"learning_rate": 2e-05,
|
| 524 |
-
"loss": 1.
|
| 525 |
"step": 172
|
| 526 |
},
|
| 527 |
{
|
| 528 |
-
"epoch": 0.
|
| 529 |
"learning_rate": 2e-05,
|
| 530 |
-
"loss": 1.
|
| 531 |
"step": 174
|
| 532 |
},
|
| 533 |
{
|
| 534 |
-
"epoch": 0.
|
| 535 |
"learning_rate": 2e-05,
|
| 536 |
-
"loss": 1.
|
| 537 |
"step": 176
|
| 538 |
},
|
| 539 |
{
|
| 540 |
-
"epoch": 0.
|
| 541 |
"learning_rate": 2e-05,
|
| 542 |
-
"loss": 1.
|
| 543 |
"step": 178
|
| 544 |
},
|
| 545 |
{
|
| 546 |
-
"epoch": 0.
|
| 547 |
"learning_rate": 2e-05,
|
| 548 |
-
"loss": 1.
|
| 549 |
"step": 180
|
| 550 |
},
|
| 551 |
{
|
| 552 |
-
"epoch": 0.
|
| 553 |
"learning_rate": 2e-05,
|
| 554 |
-
"loss": 1.
|
| 555 |
"step": 182
|
| 556 |
},
|
| 557 |
{
|
| 558 |
-
"epoch": 0.
|
| 559 |
"learning_rate": 2e-05,
|
| 560 |
-
"loss": 1.
|
| 561 |
"step": 184
|
| 562 |
},
|
| 563 |
{
|
| 564 |
-
"epoch": 0.
|
| 565 |
"learning_rate": 2e-05,
|
| 566 |
-
"loss": 1.
|
| 567 |
"step": 186
|
| 568 |
},
|
| 569 |
{
|
| 570 |
-
"epoch": 0.
|
| 571 |
"learning_rate": 2e-05,
|
| 572 |
-
"loss": 1.
|
| 573 |
"step": 188
|
| 574 |
},
|
| 575 |
{
|
| 576 |
-
"epoch": 0.
|
| 577 |
"learning_rate": 2e-05,
|
| 578 |
-
"loss": 1.
|
| 579 |
"step": 190
|
| 580 |
},
|
| 581 |
{
|
| 582 |
-
"epoch": 0.
|
| 583 |
"learning_rate": 2e-05,
|
| 584 |
-
"loss": 1.
|
| 585 |
"step": 192
|
| 586 |
},
|
| 587 |
{
|
| 588 |
-
"epoch": 0.
|
| 589 |
"learning_rate": 2e-05,
|
| 590 |
-
"loss":
|
| 591 |
"step": 194
|
| 592 |
},
|
| 593 |
{
|
| 594 |
-
"epoch": 0.
|
| 595 |
"learning_rate": 2e-05,
|
| 596 |
-
"loss":
|
| 597 |
"step": 196
|
| 598 |
},
|
| 599 |
{
|
| 600 |
-
"epoch": 0.
|
| 601 |
"learning_rate": 2e-05,
|
| 602 |
-
"loss": 1.
|
| 603 |
"step": 198
|
| 604 |
},
|
| 605 |
{
|
| 606 |
-
"epoch": 0.
|
| 607 |
"learning_rate": 2e-05,
|
| 608 |
-
"loss":
|
| 609 |
"step": 200
|
| 610 |
},
|
| 611 |
{
|
| 612 |
-
"epoch": 0.
|
| 613 |
"learning_rate": 2e-05,
|
| 614 |
-
"loss": 1.
|
| 615 |
"step": 202
|
| 616 |
},
|
| 617 |
{
|
| 618 |
-
"epoch": 0.
|
| 619 |
"learning_rate": 2e-05,
|
| 620 |
-
"loss": 1.
|
| 621 |
"step": 204
|
| 622 |
},
|
| 623 |
{
|
| 624 |
-
"epoch": 0.
|
| 625 |
"learning_rate": 2e-05,
|
| 626 |
-
"loss": 1.
|
| 627 |
"step": 206
|
| 628 |
},
|
| 629 |
{
|
| 630 |
-
"epoch": 0.
|
| 631 |
"learning_rate": 2e-05,
|
| 632 |
-
"loss": 1.
|
| 633 |
"step": 208
|
| 634 |
},
|
| 635 |
{
|
| 636 |
-
"epoch": 0.
|
| 637 |
"learning_rate": 2e-05,
|
| 638 |
-
"loss": 1.
|
| 639 |
"step": 210
|
| 640 |
},
|
| 641 |
{
|
| 642 |
-
"epoch": 0.
|
| 643 |
"learning_rate": 2e-05,
|
| 644 |
-
"loss": 1.
|
| 645 |
"step": 212
|
| 646 |
},
|
| 647 |
{
|
| 648 |
-
"epoch": 0.
|
| 649 |
"learning_rate": 2e-05,
|
| 650 |
-
"loss": 1.
|
| 651 |
"step": 214
|
| 652 |
},
|
| 653 |
{
|
| 654 |
-
"epoch": 0.
|
| 655 |
"learning_rate": 2e-05,
|
| 656 |
-
"loss": 1.
|
| 657 |
"step": 216
|
| 658 |
},
|
| 659 |
{
|
| 660 |
-
"epoch": 0.
|
| 661 |
"learning_rate": 2e-05,
|
| 662 |
-
"loss": 1.
|
| 663 |
"step": 218
|
| 664 |
},
|
| 665 |
{
|
| 666 |
-
"epoch": 0.
|
| 667 |
"learning_rate": 2e-05,
|
| 668 |
-
"loss": 1.
|
| 669 |
"step": 220
|
| 670 |
},
|
| 671 |
{
|
| 672 |
-
"epoch": 0.
|
| 673 |
"learning_rate": 2e-05,
|
| 674 |
-
"loss": 1.
|
| 675 |
"step": 222
|
| 676 |
},
|
| 677 |
{
|
| 678 |
-
"epoch": 0.
|
| 679 |
"learning_rate": 2e-05,
|
| 680 |
-
"loss": 1.
|
| 681 |
"step": 224
|
| 682 |
},
|
| 683 |
{
|
| 684 |
-
"epoch": 0.
|
| 685 |
"learning_rate": 2e-05,
|
| 686 |
-
"loss": 1.
|
| 687 |
"step": 226
|
| 688 |
},
|
| 689 |
{
|
| 690 |
-
"epoch": 0.
|
| 691 |
"learning_rate": 2e-05,
|
| 692 |
-
"loss": 1.
|
| 693 |
"step": 228
|
| 694 |
},
|
| 695 |
{
|
| 696 |
-
"epoch": 0.
|
| 697 |
"learning_rate": 2e-05,
|
| 698 |
-
"loss": 1.
|
| 699 |
"step": 230
|
| 700 |
},
|
| 701 |
{
|
| 702 |
-
"epoch": 0.
|
| 703 |
"learning_rate": 2e-05,
|
| 704 |
-
"loss": 1.
|
| 705 |
"step": 232
|
| 706 |
},
|
| 707 |
{
|
| 708 |
-
"epoch": 0.
|
| 709 |
"learning_rate": 2e-05,
|
| 710 |
-
"loss": 1.
|
| 711 |
"step": 234
|
| 712 |
},
|
| 713 |
{
|
| 714 |
-
"epoch": 0.
|
| 715 |
"learning_rate": 2e-05,
|
| 716 |
-
"loss": 1.
|
| 717 |
"step": 236
|
| 718 |
},
|
| 719 |
{
|
| 720 |
-
"epoch": 0.
|
| 721 |
"learning_rate": 2e-05,
|
| 722 |
-
"loss": 1.
|
| 723 |
"step": 238
|
| 724 |
},
|
| 725 |
{
|
| 726 |
-
"epoch": 0.
|
| 727 |
"learning_rate": 2e-05,
|
| 728 |
-
"loss": 1.
|
| 729 |
"step": 240
|
| 730 |
},
|
| 731 |
{
|
| 732 |
-
"epoch": 0.
|
| 733 |
"learning_rate": 2e-05,
|
| 734 |
-
"loss": 1.
|
| 735 |
"step": 242
|
| 736 |
},
|
| 737 |
{
|
| 738 |
-
"epoch": 0.
|
| 739 |
"learning_rate": 2e-05,
|
| 740 |
-
"loss":
|
| 741 |
"step": 244
|
| 742 |
},
|
| 743 |
{
|
| 744 |
-
"epoch": 0.
|
| 745 |
"learning_rate": 2e-05,
|
| 746 |
-
"loss":
|
| 747 |
"step": 246
|
| 748 |
},
|
| 749 |
{
|
| 750 |
-
"epoch": 0.
|
| 751 |
"learning_rate": 2e-05,
|
| 752 |
-
"loss": 1.
|
| 753 |
"step": 248
|
| 754 |
},
|
| 755 |
{
|
| 756 |
-
"epoch": 0.
|
| 757 |
"learning_rate": 2e-05,
|
| 758 |
-
"loss": 1.
|
| 759 |
"step": 250
|
| 760 |
},
|
| 761 |
{
|
| 762 |
-
"epoch": 0.
|
| 763 |
"learning_rate": 2e-05,
|
| 764 |
-
"loss": 1.
|
| 765 |
"step": 252
|
| 766 |
},
|
| 767 |
{
|
| 768 |
-
"epoch": 0.
|
| 769 |
"learning_rate": 2e-05,
|
| 770 |
-
"loss": 1.
|
| 771 |
"step": 254
|
| 772 |
},
|
| 773 |
{
|
| 774 |
-
"epoch": 0.
|
| 775 |
"learning_rate": 2e-05,
|
| 776 |
-
"loss": 1.
|
| 777 |
"step": 256
|
| 778 |
},
|
| 779 |
{
|
| 780 |
-
"epoch": 0.
|
| 781 |
"learning_rate": 2e-05,
|
| 782 |
-
"loss": 1.
|
| 783 |
"step": 258
|
| 784 |
},
|
| 785 |
{
|
| 786 |
-
"epoch": 0.
|
| 787 |
"learning_rate": 2e-05,
|
| 788 |
-
"loss": 1.
|
| 789 |
"step": 260
|
| 790 |
},
|
| 791 |
{
|
| 792 |
-
"epoch": 0.
|
| 793 |
"learning_rate": 2e-05,
|
| 794 |
-
"loss": 1.
|
| 795 |
"step": 262
|
| 796 |
},
|
| 797 |
{
|
| 798 |
-
"epoch": 0.
|
| 799 |
"learning_rate": 2e-05,
|
| 800 |
-
"loss": 1.
|
| 801 |
"step": 264
|
| 802 |
},
|
| 803 |
{
|
| 804 |
-
"epoch": 0.
|
| 805 |
"learning_rate": 2e-05,
|
| 806 |
-
"loss": 1.
|
| 807 |
"step": 266
|
| 808 |
},
|
| 809 |
{
|
| 810 |
-
"epoch": 0.
|
| 811 |
"learning_rate": 2e-05,
|
| 812 |
-
"loss": 1.
|
| 813 |
"step": 268
|
| 814 |
},
|
| 815 |
{
|
| 816 |
-
"epoch": 0.
|
| 817 |
"learning_rate": 2e-05,
|
| 818 |
-
"loss": 1.
|
| 819 |
"step": 270
|
| 820 |
},
|
| 821 |
{
|
| 822 |
-
"epoch": 0.
|
| 823 |
"learning_rate": 2e-05,
|
| 824 |
-
"loss": 1.
|
| 825 |
"step": 272
|
| 826 |
},
|
| 827 |
{
|
| 828 |
-
"epoch": 0.
|
| 829 |
"learning_rate": 2e-05,
|
| 830 |
-
"loss": 1.
|
| 831 |
"step": 274
|
| 832 |
},
|
| 833 |
{
|
| 834 |
-
"epoch": 0.
|
| 835 |
"learning_rate": 2e-05,
|
| 836 |
-
"loss": 1.
|
| 837 |
"step": 276
|
| 838 |
},
|
| 839 |
{
|
| 840 |
-
"epoch": 0.
|
| 841 |
"learning_rate": 2e-05,
|
| 842 |
-
"loss": 1.
|
| 843 |
"step": 278
|
| 844 |
},
|
| 845 |
{
|
| 846 |
-
"epoch": 0.
|
| 847 |
"learning_rate": 2e-05,
|
| 848 |
-
"loss": 1.
|
| 849 |
"step": 280
|
| 850 |
},
|
| 851 |
{
|
| 852 |
-
"epoch": 0.
|
| 853 |
"learning_rate": 2e-05,
|
| 854 |
-
"loss": 1.
|
| 855 |
"step": 282
|
| 856 |
},
|
| 857 |
{
|
| 858 |
-
"epoch": 0.
|
| 859 |
"learning_rate": 2e-05,
|
| 860 |
-
"loss": 1.
|
| 861 |
"step": 284
|
| 862 |
},
|
| 863 |
{
|
| 864 |
-
"epoch": 0.
|
| 865 |
"learning_rate": 2e-05,
|
| 866 |
-
"loss": 1.
|
| 867 |
"step": 286
|
| 868 |
},
|
| 869 |
{
|
| 870 |
-
"epoch": 0.
|
| 871 |
"learning_rate": 2e-05,
|
| 872 |
-
"loss": 1.
|
| 873 |
"step": 288
|
| 874 |
},
|
| 875 |
-
{
|
| 876 |
-
"epoch": 0.08,
|
| 877 |
-
"learning_rate": 2e-05,
|
| 878 |
-
"loss": 1.1171,
|
| 879 |
-
"step": 290
|
| 880 |
-
},
|
| 881 |
-
{
|
| 882 |
-
"epoch": 0.08,
|
| 883 |
-
"learning_rate": 2e-05,
|
| 884 |
-
"loss": 1.2529,
|
| 885 |
-
"step": 292
|
| 886 |
-
},
|
| 887 |
-
{
|
| 888 |
-
"epoch": 0.08,
|
| 889 |
-
"learning_rate": 2e-05,
|
| 890 |
-
"loss": 1.1011,
|
| 891 |
-
"step": 294
|
| 892 |
-
},
|
| 893 |
-
{
|
| 894 |
-
"epoch": 0.08,
|
| 895 |
-
"learning_rate": 2e-05,
|
| 896 |
-
"loss": 1.0577,
|
| 897 |
-
"step": 296
|
| 898 |
-
},
|
| 899 |
-
{
|
| 900 |
-
"epoch": 0.09,
|
| 901 |
-
"learning_rate": 2e-05,
|
| 902 |
-
"loss": 1.176,
|
| 903 |
-
"step": 298
|
| 904 |
-
},
|
| 905 |
-
{
|
| 906 |
-
"epoch": 0.09,
|
| 907 |
-
"learning_rate": 2e-05,
|
| 908 |
-
"loss": 1.1288,
|
| 909 |
-
"step": 300
|
| 910 |
-
},
|
| 911 |
-
{
|
| 912 |
-
"epoch": 0.09,
|
| 913 |
-
"learning_rate": 2e-05,
|
| 914 |
-
"loss": 1.2172,
|
| 915 |
-
"step": 302
|
| 916 |
-
},
|
| 917 |
-
{
|
| 918 |
-
"epoch": 0.09,
|
| 919 |
-
"learning_rate": 2e-05,
|
| 920 |
-
"loss": 1.095,
|
| 921 |
-
"step": 304
|
| 922 |
-
},
|
| 923 |
-
{
|
| 924 |
-
"epoch": 0.09,
|
| 925 |
-
"learning_rate": 2e-05,
|
| 926 |
-
"loss": 1.26,
|
| 927 |
-
"step": 306
|
| 928 |
-
},
|
| 929 |
-
{
|
| 930 |
-
"epoch": 0.09,
|
| 931 |
-
"learning_rate": 2e-05,
|
| 932 |
-
"loss": 1.158,
|
| 933 |
-
"step": 308
|
| 934 |
-
},
|
| 935 |
-
{
|
| 936 |
-
"epoch": 0.09,
|
| 937 |
-
"learning_rate": 2e-05,
|
| 938 |
-
"loss": 1.2092,
|
| 939 |
-
"step": 310
|
| 940 |
-
},
|
| 941 |
-
{
|
| 942 |
-
"epoch": 0.09,
|
| 943 |
-
"learning_rate": 2e-05,
|
| 944 |
-
"loss": 1.0478,
|
| 945 |
-
"step": 312
|
| 946 |
-
},
|
| 947 |
-
{
|
| 948 |
-
"epoch": 0.09,
|
| 949 |
-
"learning_rate": 2e-05,
|
| 950 |
-
"loss": 1.0938,
|
| 951 |
-
"step": 314
|
| 952 |
-
},
|
| 953 |
-
{
|
| 954 |
-
"epoch": 0.09,
|
| 955 |
-
"learning_rate": 2e-05,
|
| 956 |
-
"loss": 1.1377,
|
| 957 |
-
"step": 316
|
| 958 |
-
},
|
| 959 |
-
{
|
| 960 |
-
"epoch": 0.09,
|
| 961 |
-
"learning_rate": 2e-05,
|
| 962 |
-
"loss": 1.2176,
|
| 963 |
-
"step": 318
|
| 964 |
-
},
|
| 965 |
-
{
|
| 966 |
-
"epoch": 0.09,
|
| 967 |
-
"learning_rate": 2e-05,
|
| 968 |
-
"loss": 1.1941,
|
| 969 |
-
"step": 320
|
| 970 |
-
},
|
| 971 |
-
{
|
| 972 |
-
"epoch": 0.09,
|
| 973 |
-
"learning_rate": 2e-05,
|
| 974 |
-
"loss": 1.0905,
|
| 975 |
-
"step": 322
|
| 976 |
-
},
|
| 977 |
-
{
|
| 978 |
-
"epoch": 0.09,
|
| 979 |
-
"learning_rate": 2e-05,
|
| 980 |
-
"loss": 1.1781,
|
| 981 |
-
"step": 324
|
| 982 |
-
},
|
| 983 |
-
{
|
| 984 |
-
"epoch": 0.09,
|
| 985 |
-
"learning_rate": 2e-05,
|
| 986 |
-
"loss": 1.226,
|
| 987 |
-
"step": 326
|
| 988 |
-
},
|
| 989 |
-
{
|
| 990 |
-
"epoch": 0.09,
|
| 991 |
-
"learning_rate": 2e-05,
|
| 992 |
-
"loss": 1.1351,
|
| 993 |
-
"step": 328
|
| 994 |
-
},
|
| 995 |
-
{
|
| 996 |
-
"epoch": 0.09,
|
| 997 |
-
"learning_rate": 2e-05,
|
| 998 |
-
"loss": 1.1953,
|
| 999 |
-
"step": 330
|
| 1000 |
-
},
|
| 1001 |
-
{
|
| 1002 |
-
"epoch": 0.09,
|
| 1003 |
-
"learning_rate": 2e-05,
|
| 1004 |
-
"loss": 1.0585,
|
| 1005 |
-
"step": 332
|
| 1006 |
-
},
|
| 1007 |
-
{
|
| 1008 |
-
"epoch": 0.1,
|
| 1009 |
-
"learning_rate": 2e-05,
|
| 1010 |
-
"loss": 1.0829,
|
| 1011 |
-
"step": 334
|
| 1012 |
-
},
|
| 1013 |
-
{
|
| 1014 |
-
"epoch": 0.1,
|
| 1015 |
-
"learning_rate": 2e-05,
|
| 1016 |
-
"loss": 1.204,
|
| 1017 |
-
"step": 336
|
| 1018 |
-
},
|
| 1019 |
-
{
|
| 1020 |
-
"epoch": 0.1,
|
| 1021 |
-
"learning_rate": 2e-05,
|
| 1022 |
-
"loss": 1.093,
|
| 1023 |
-
"step": 338
|
| 1024 |
-
},
|
| 1025 |
-
{
|
| 1026 |
-
"epoch": 0.1,
|
| 1027 |
-
"learning_rate": 2e-05,
|
| 1028 |
-
"loss": 1.1197,
|
| 1029 |
-
"step": 340
|
| 1030 |
-
},
|
| 1031 |
-
{
|
| 1032 |
-
"epoch": 0.1,
|
| 1033 |
-
"learning_rate": 2e-05,
|
| 1034 |
-
"loss": 1.1605,
|
| 1035 |
-
"step": 342
|
| 1036 |
-
},
|
| 1037 |
-
{
|
| 1038 |
-
"epoch": 0.1,
|
| 1039 |
-
"learning_rate": 2e-05,
|
| 1040 |
-
"loss": 1.1002,
|
| 1041 |
-
"step": 344
|
| 1042 |
-
},
|
| 1043 |
-
{
|
| 1044 |
-
"epoch": 0.1,
|
| 1045 |
-
"learning_rate": 2e-05,
|
| 1046 |
-
"loss": 1.1505,
|
| 1047 |
-
"step": 346
|
| 1048 |
-
},
|
| 1049 |
-
{
|
| 1050 |
-
"epoch": 0.1,
|
| 1051 |
-
"learning_rate": 2e-05,
|
| 1052 |
-
"loss": 1.1854,
|
| 1053 |
-
"step": 348
|
| 1054 |
-
},
|
| 1055 |
-
{
|
| 1056 |
-
"epoch": 0.1,
|
| 1057 |
-
"learning_rate": 2e-05,
|
| 1058 |
-
"loss": 1.0429,
|
| 1059 |
-
"step": 350
|
| 1060 |
-
},
|
| 1061 |
-
{
|
| 1062 |
-
"epoch": 0.1,
|
| 1063 |
-
"learning_rate": 2e-05,
|
| 1064 |
-
"loss": 1.0723,
|
| 1065 |
-
"step": 352
|
| 1066 |
-
},
|
| 1067 |
-
{
|
| 1068 |
-
"epoch": 0.1,
|
| 1069 |
-
"learning_rate": 2e-05,
|
| 1070 |
-
"loss": 1.0574,
|
| 1071 |
-
"step": 354
|
| 1072 |
-
},
|
| 1073 |
-
{
|
| 1074 |
-
"epoch": 0.1,
|
| 1075 |
-
"learning_rate": 2e-05,
|
| 1076 |
-
"loss": 1.1209,
|
| 1077 |
-
"step": 356
|
| 1078 |
-
},
|
| 1079 |
-
{
|
| 1080 |
-
"epoch": 0.1,
|
| 1081 |
-
"learning_rate": 2e-05,
|
| 1082 |
-
"loss": 1.1015,
|
| 1083 |
-
"step": 358
|
| 1084 |
-
},
|
| 1085 |
-
{
|
| 1086 |
-
"epoch": 0.1,
|
| 1087 |
-
"learning_rate": 2e-05,
|
| 1088 |
-
"loss": 1.1224,
|
| 1089 |
-
"step": 360
|
| 1090 |
-
},
|
| 1091 |
-
{
|
| 1092 |
-
"epoch": 0.1,
|
| 1093 |
-
"learning_rate": 2e-05,
|
| 1094 |
-
"loss": 1.0683,
|
| 1095 |
-
"step": 362
|
| 1096 |
-
},
|
| 1097 |
-
{
|
| 1098 |
-
"epoch": 0.1,
|
| 1099 |
-
"learning_rate": 2e-05,
|
| 1100 |
-
"loss": 1.1229,
|
| 1101 |
-
"step": 364
|
| 1102 |
-
},
|
| 1103 |
-
{
|
| 1104 |
-
"epoch": 0.1,
|
| 1105 |
-
"learning_rate": 2e-05,
|
| 1106 |
-
"loss": 1.1141,
|
| 1107 |
-
"step": 366
|
| 1108 |
-
},
|
| 1109 |
-
{
|
| 1110 |
-
"epoch": 0.11,
|
| 1111 |
-
"learning_rate": 2e-05,
|
| 1112 |
-
"loss": 1.1463,
|
| 1113 |
-
"step": 368
|
| 1114 |
-
},
|
| 1115 |
-
{
|
| 1116 |
-
"epoch": 0.11,
|
| 1117 |
-
"learning_rate": 2e-05,
|
| 1118 |
-
"loss": 1.2329,
|
| 1119 |
-
"step": 370
|
| 1120 |
-
},
|
| 1121 |
-
{
|
| 1122 |
-
"epoch": 0.11,
|
| 1123 |
-
"learning_rate": 2e-05,
|
| 1124 |
-
"loss": 1.1691,
|
| 1125 |
-
"step": 372
|
| 1126 |
-
},
|
| 1127 |
-
{
|
| 1128 |
-
"epoch": 0.11,
|
| 1129 |
-
"learning_rate": 2e-05,
|
| 1130 |
-
"loss": 1.147,
|
| 1131 |
-
"step": 374
|
| 1132 |
-
},
|
| 1133 |
-
{
|
| 1134 |
-
"epoch": 0.11,
|
| 1135 |
-
"learning_rate": 2e-05,
|
| 1136 |
-
"loss": 1.1734,
|
| 1137 |
-
"step": 376
|
| 1138 |
-
},
|
| 1139 |
-
{
|
| 1140 |
-
"epoch": 0.11,
|
| 1141 |
-
"learning_rate": 2e-05,
|
| 1142 |
-
"loss": 1.1037,
|
| 1143 |
-
"step": 378
|
| 1144 |
-
},
|
| 1145 |
-
{
|
| 1146 |
-
"epoch": 0.11,
|
| 1147 |
-
"learning_rate": 2e-05,
|
| 1148 |
-
"loss": 1.1595,
|
| 1149 |
-
"step": 380
|
| 1150 |
-
},
|
| 1151 |
-
{
|
| 1152 |
-
"epoch": 0.11,
|
| 1153 |
-
"learning_rate": 2e-05,
|
| 1154 |
-
"loss": 1.0808,
|
| 1155 |
-
"step": 382
|
| 1156 |
-
},
|
| 1157 |
-
{
|
| 1158 |
-
"epoch": 0.11,
|
| 1159 |
-
"learning_rate": 2e-05,
|
| 1160 |
-
"loss": 1.0531,
|
| 1161 |
-
"step": 384
|
| 1162 |
-
},
|
| 1163 |
-
{
|
| 1164 |
-
"epoch": 0.11,
|
| 1165 |
-
"learning_rate": 2e-05,
|
| 1166 |
-
"loss": 1.1741,
|
| 1167 |
-
"step": 386
|
| 1168 |
-
},
|
| 1169 |
-
{
|
| 1170 |
-
"epoch": 0.11,
|
| 1171 |
-
"learning_rate": 2e-05,
|
| 1172 |
-
"loss": 1.1207,
|
| 1173 |
-
"step": 388
|
| 1174 |
-
},
|
| 1175 |
-
{
|
| 1176 |
-
"epoch": 0.11,
|
| 1177 |
-
"learning_rate": 2e-05,
|
| 1178 |
-
"loss": 1.1058,
|
| 1179 |
-
"step": 390
|
| 1180 |
-
},
|
| 1181 |
-
{
|
| 1182 |
-
"epoch": 0.11,
|
| 1183 |
-
"learning_rate": 2e-05,
|
| 1184 |
-
"loss": 1.1955,
|
| 1185 |
-
"step": 392
|
| 1186 |
-
},
|
| 1187 |
-
{
|
| 1188 |
-
"epoch": 0.11,
|
| 1189 |
-
"learning_rate": 2e-05,
|
| 1190 |
-
"loss": 1.1392,
|
| 1191 |
-
"step": 394
|
| 1192 |
-
},
|
| 1193 |
-
{
|
| 1194 |
-
"epoch": 0.11,
|
| 1195 |
-
"learning_rate": 2e-05,
|
| 1196 |
-
"loss": 1.0818,
|
| 1197 |
-
"step": 396
|
| 1198 |
-
},
|
| 1199 |
-
{
|
| 1200 |
-
"epoch": 0.11,
|
| 1201 |
-
"learning_rate": 2e-05,
|
| 1202 |
-
"loss": 1.1077,
|
| 1203 |
-
"step": 398
|
| 1204 |
-
},
|
| 1205 |
-
{
|
| 1206 |
-
"epoch": 0.11,
|
| 1207 |
-
"learning_rate": 2e-05,
|
| 1208 |
-
"loss": 1.1538,
|
| 1209 |
-
"step": 400
|
| 1210 |
-
},
|
| 1211 |
-
{
|
| 1212 |
-
"epoch": 0.11,
|
| 1213 |
-
"learning_rate": 2e-05,
|
| 1214 |
-
"loss": 1.1751,
|
| 1215 |
-
"step": 402
|
| 1216 |
-
},
|
| 1217 |
-
{
|
| 1218 |
-
"epoch": 0.12,
|
| 1219 |
-
"learning_rate": 2e-05,
|
| 1220 |
-
"loss": 1.0657,
|
| 1221 |
-
"step": 404
|
| 1222 |
-
},
|
| 1223 |
-
{
|
| 1224 |
-
"epoch": 0.12,
|
| 1225 |
-
"learning_rate": 2e-05,
|
| 1226 |
-
"loss": 1.0833,
|
| 1227 |
-
"step": 406
|
| 1228 |
-
},
|
| 1229 |
-
{
|
| 1230 |
-
"epoch": 0.12,
|
| 1231 |
-
"learning_rate": 2e-05,
|
| 1232 |
-
"loss": 1.1695,
|
| 1233 |
-
"step": 408
|
| 1234 |
-
},
|
| 1235 |
-
{
|
| 1236 |
-
"epoch": 0.12,
|
| 1237 |
-
"learning_rate": 2e-05,
|
| 1238 |
-
"loss": 1.153,
|
| 1239 |
-
"step": 410
|
| 1240 |
-
},
|
| 1241 |
-
{
|
| 1242 |
-
"epoch": 0.12,
|
| 1243 |
-
"learning_rate": 2e-05,
|
| 1244 |
-
"loss": 1.1549,
|
| 1245 |
-
"step": 412
|
| 1246 |
-
},
|
| 1247 |
-
{
|
| 1248 |
-
"epoch": 0.12,
|
| 1249 |
-
"learning_rate": 2e-05,
|
| 1250 |
-
"loss": 1.1089,
|
| 1251 |
-
"step": 414
|
| 1252 |
-
},
|
| 1253 |
-
{
|
| 1254 |
-
"epoch": 0.12,
|
| 1255 |
-
"learning_rate": 2e-05,
|
| 1256 |
-
"loss": 0.9813,
|
| 1257 |
-
"step": 416
|
| 1258 |
-
},
|
| 1259 |
-
{
|
| 1260 |
-
"epoch": 0.12,
|
| 1261 |
-
"learning_rate": 2e-05,
|
| 1262 |
-
"loss": 1.2241,
|
| 1263 |
-
"step": 418
|
| 1264 |
-
},
|
| 1265 |
-
{
|
| 1266 |
-
"epoch": 0.12,
|
| 1267 |
-
"learning_rate": 2e-05,
|
| 1268 |
-
"loss": 1.1934,
|
| 1269 |
-
"step": 420
|
| 1270 |
-
},
|
| 1271 |
-
{
|
| 1272 |
-
"epoch": 0.12,
|
| 1273 |
-
"learning_rate": 2e-05,
|
| 1274 |
-
"loss": 1.1333,
|
| 1275 |
-
"step": 422
|
| 1276 |
-
},
|
| 1277 |
-
{
|
| 1278 |
-
"epoch": 0.12,
|
| 1279 |
-
"learning_rate": 2e-05,
|
| 1280 |
-
"loss": 1.1415,
|
| 1281 |
-
"step": 424
|
| 1282 |
-
},
|
| 1283 |
-
{
|
| 1284 |
-
"epoch": 0.12,
|
| 1285 |
-
"learning_rate": 2e-05,
|
| 1286 |
-
"loss": 1.1269,
|
| 1287 |
-
"step": 426
|
| 1288 |
-
},
|
| 1289 |
-
{
|
| 1290 |
-
"epoch": 0.12,
|
| 1291 |
-
"learning_rate": 2e-05,
|
| 1292 |
-
"loss": 1.0099,
|
| 1293 |
-
"step": 428
|
| 1294 |
-
},
|
| 1295 |
-
{
|
| 1296 |
-
"epoch": 0.12,
|
| 1297 |
-
"learning_rate": 2e-05,
|
| 1298 |
-
"loss": 1.1323,
|
| 1299 |
-
"step": 430
|
| 1300 |
-
},
|
| 1301 |
-
{
|
| 1302 |
-
"epoch": 0.12,
|
| 1303 |
-
"learning_rate": 2e-05,
|
| 1304 |
-
"loss": 1.0909,
|
| 1305 |
-
"step": 432
|
| 1306 |
-
},
|
| 1307 |
-
{
|
| 1308 |
-
"epoch": 0.12,
|
| 1309 |
-
"learning_rate": 2e-05,
|
| 1310 |
-
"loss": 1.1004,
|
| 1311 |
-
"step": 434
|
| 1312 |
-
},
|
| 1313 |
-
{
|
| 1314 |
-
"epoch": 0.12,
|
| 1315 |
-
"learning_rate": 2e-05,
|
| 1316 |
-
"loss": 1.0584,
|
| 1317 |
-
"step": 436
|
| 1318 |
-
},
|
| 1319 |
{
|
| 1320 |
"epoch": 0.13,
|
| 1321 |
"learning_rate": 2e-05,
|
| 1322 |
-
"loss": 1.
|
| 1323 |
-
"step":
|
| 1324 |
-
},
|
| 1325 |
-
{
|
| 1326 |
-
"epoch": 0.13,
|
| 1327 |
-
"learning_rate": 2e-05,
|
| 1328 |
-
"loss": 1.2232,
|
| 1329 |
-
"step": 440
|
| 1330 |
},
|
| 1331 |
{
|
| 1332 |
"epoch": 0.13,
|
| 1333 |
"learning_rate": 2e-05,
|
| 1334 |
-
"loss": 1.
|
| 1335 |
-
"step":
|
| 1336 |
},
|
| 1337 |
{
|
| 1338 |
"epoch": 0.13,
|
| 1339 |
"learning_rate": 2e-05,
|
| 1340 |
-
"loss":
|
| 1341 |
-
"step":
|
| 1342 |
},
|
| 1343 |
{
|
| 1344 |
"epoch": 0.13,
|
| 1345 |
"learning_rate": 2e-05,
|
| 1346 |
-
"loss":
|
| 1347 |
-
"step":
|
| 1348 |
},
|
| 1349 |
{
|
| 1350 |
"epoch": 0.13,
|
| 1351 |
"learning_rate": 2e-05,
|
| 1352 |
-
"loss": 1.
|
| 1353 |
-
"step":
|
| 1354 |
},
|
| 1355 |
{
|
| 1356 |
"epoch": 0.13,
|
| 1357 |
"learning_rate": 2e-05,
|
| 1358 |
-
"loss": 1.
|
| 1359 |
-
"step":
|
| 1360 |
}
|
| 1361 |
],
|
| 1362 |
"logging_steps": 2,
|
| 1363 |
-
"max_steps":
|
| 1364 |
"num_train_epochs": 3,
|
| 1365 |
"save_steps": 50,
|
| 1366 |
-
"total_flos":
|
| 1367 |
"trial_name": null,
|
| 1368 |
"trial_params": null
|
| 1369 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.13220955214014213,
|
| 5 |
"eval_steps": 500,
|
| 6 |
+
"global_step": 300,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
|
|
| 11 |
{
|
| 12 |
"epoch": 0.0,
|
| 13 |
"learning_rate": 2e-05,
|
| 14 |
+
"loss": 1.827,
|
| 15 |
"step": 2
|
| 16 |
},
|
| 17 |
{
|
| 18 |
"epoch": 0.0,
|
| 19 |
"learning_rate": 2e-05,
|
| 20 |
+
"loss": 1.6735,
|
| 21 |
"step": 4
|
| 22 |
},
|
| 23 |
{
|
| 24 |
"epoch": 0.0,
|
| 25 |
"learning_rate": 2e-05,
|
| 26 |
+
"loss": 1.4766,
|
| 27 |
"step": 6
|
| 28 |
},
|
| 29 |
{
|
| 30 |
"epoch": 0.0,
|
| 31 |
"learning_rate": 2e-05,
|
| 32 |
+
"loss": 1.6915,
|
| 33 |
"step": 8
|
| 34 |
},
|
| 35 |
{
|
| 36 |
"epoch": 0.0,
|
| 37 |
"learning_rate": 2e-05,
|
| 38 |
+
"loss": 1.8343,
|
| 39 |
"step": 10
|
| 40 |
},
|
| 41 |
{
|
| 42 |
+
"epoch": 0.01,
|
| 43 |
"learning_rate": 2e-05,
|
| 44 |
+
"loss": 1.7773,
|
| 45 |
"step": 12
|
| 46 |
},
|
| 47 |
{
|
| 48 |
+
"epoch": 0.01,
|
| 49 |
"learning_rate": 2e-05,
|
| 50 |
+
"loss": 1.8827,
|
| 51 |
"step": 14
|
| 52 |
},
|
| 53 |
{
|
| 54 |
+
"epoch": 0.01,
|
| 55 |
"learning_rate": 2e-05,
|
| 56 |
+
"loss": 1.9619,
|
| 57 |
"step": 16
|
| 58 |
},
|
| 59 |
{
|
| 60 |
"epoch": 0.01,
|
| 61 |
"learning_rate": 2e-05,
|
| 62 |
+
"loss": 1.649,
|
| 63 |
"step": 18
|
| 64 |
},
|
| 65 |
{
|
| 66 |
"epoch": 0.01,
|
| 67 |
"learning_rate": 2e-05,
|
| 68 |
+
"loss": 1.9362,
|
| 69 |
"step": 20
|
| 70 |
},
|
| 71 |
{
|
| 72 |
"epoch": 0.01,
|
| 73 |
"learning_rate": 2e-05,
|
| 74 |
+
"loss": 1.8436,
|
| 75 |
"step": 22
|
| 76 |
},
|
| 77 |
{
|
| 78 |
"epoch": 0.01,
|
| 79 |
"learning_rate": 2e-05,
|
| 80 |
+
"loss": 1.7926,
|
| 81 |
"step": 24
|
| 82 |
},
|
| 83 |
{
|
| 84 |
"epoch": 0.01,
|
| 85 |
"learning_rate": 2e-05,
|
| 86 |
+
"loss": 1.7459,
|
| 87 |
"step": 26
|
| 88 |
},
|
| 89 |
{
|
| 90 |
"epoch": 0.01,
|
| 91 |
"learning_rate": 2e-05,
|
| 92 |
+
"loss": 1.5901,
|
| 93 |
"step": 28
|
| 94 |
},
|
| 95 |
{
|
| 96 |
"epoch": 0.01,
|
| 97 |
"learning_rate": 2e-05,
|
| 98 |
+
"loss": 1.8599,
|
| 99 |
"step": 30
|
| 100 |
},
|
| 101 |
{
|
| 102 |
"epoch": 0.01,
|
| 103 |
"learning_rate": 2e-05,
|
| 104 |
+
"loss": 1.6074,
|
| 105 |
"step": 32
|
| 106 |
},
|
| 107 |
{
|
| 108 |
"epoch": 0.01,
|
| 109 |
"learning_rate": 2e-05,
|
| 110 |
+
"loss": 1.7844,
|
| 111 |
"step": 34
|
| 112 |
},
|
| 113 |
{
|
| 114 |
+
"epoch": 0.02,
|
| 115 |
"learning_rate": 2e-05,
|
| 116 |
+
"loss": 1.9763,
|
| 117 |
"step": 36
|
| 118 |
},
|
| 119 |
{
|
| 120 |
+
"epoch": 0.02,
|
| 121 |
"learning_rate": 2e-05,
|
| 122 |
+
"loss": 1.7219,
|
| 123 |
"step": 38
|
| 124 |
},
|
| 125 |
{
|
| 126 |
+
"epoch": 0.02,
|
| 127 |
"learning_rate": 2e-05,
|
| 128 |
+
"loss": 2.1424,
|
| 129 |
"step": 40
|
| 130 |
},
|
| 131 |
{
|
| 132 |
+
"epoch": 0.02,
|
| 133 |
"learning_rate": 2e-05,
|
| 134 |
+
"loss": 2.3718,
|
| 135 |
"step": 42
|
| 136 |
},
|
| 137 |
{
|
| 138 |
+
"epoch": 0.02,
|
| 139 |
"learning_rate": 2e-05,
|
| 140 |
+
"loss": 2.6136,
|
| 141 |
"step": 44
|
| 142 |
},
|
| 143 |
{
|
| 144 |
+
"epoch": 0.02,
|
| 145 |
"learning_rate": 2e-05,
|
| 146 |
+
"loss": 2.6488,
|
| 147 |
"step": 46
|
| 148 |
},
|
| 149 |
{
|
| 150 |
+
"epoch": 0.02,
|
| 151 |
"learning_rate": 2e-05,
|
| 152 |
+
"loss": 2.5294,
|
| 153 |
"step": 48
|
| 154 |
},
|
| 155 |
{
|
| 156 |
+
"epoch": 0.02,
|
| 157 |
"learning_rate": 2e-05,
|
| 158 |
+
"loss": 2.628,
|
| 159 |
"step": 50
|
| 160 |
},
|
| 161 |
{
|
| 162 |
+
"epoch": 0.02,
|
| 163 |
"learning_rate": 2e-05,
|
| 164 |
+
"loss": 1.8985,
|
| 165 |
"step": 52
|
| 166 |
},
|
| 167 |
{
|
| 168 |
"epoch": 0.02,
|
| 169 |
"learning_rate": 2e-05,
|
| 170 |
+
"loss": 1.8064,
|
| 171 |
"step": 54
|
| 172 |
},
|
| 173 |
{
|
| 174 |
"epoch": 0.02,
|
| 175 |
"learning_rate": 2e-05,
|
| 176 |
+
"loss": 1.4602,
|
| 177 |
"step": 56
|
| 178 |
},
|
| 179 |
{
|
| 180 |
+
"epoch": 0.03,
|
| 181 |
"learning_rate": 2e-05,
|
| 182 |
+
"loss": 1.5978,
|
| 183 |
"step": 58
|
| 184 |
},
|
| 185 |
{
|
| 186 |
+
"epoch": 0.03,
|
| 187 |
"learning_rate": 2e-05,
|
| 188 |
+
"loss": 1.6243,
|
| 189 |
"step": 60
|
| 190 |
},
|
| 191 |
{
|
| 192 |
+
"epoch": 0.03,
|
| 193 |
"learning_rate": 2e-05,
|
| 194 |
+
"loss": 1.578,
|
| 195 |
"step": 62
|
| 196 |
},
|
| 197 |
{
|
| 198 |
+
"epoch": 0.03,
|
| 199 |
"learning_rate": 2e-05,
|
| 200 |
+
"loss": 1.6195,
|
| 201 |
"step": 64
|
| 202 |
},
|
| 203 |
{
|
| 204 |
+
"epoch": 0.03,
|
| 205 |
"learning_rate": 2e-05,
|
| 206 |
+
"loss": 1.7878,
|
| 207 |
"step": 66
|
| 208 |
},
|
| 209 |
{
|
| 210 |
+
"epoch": 0.03,
|
| 211 |
"learning_rate": 2e-05,
|
| 212 |
+
"loss": 1.6071,
|
| 213 |
"step": 68
|
| 214 |
},
|
| 215 |
{
|
| 216 |
+
"epoch": 0.03,
|
| 217 |
"learning_rate": 2e-05,
|
| 218 |
+
"loss": 1.5648,
|
| 219 |
"step": 70
|
| 220 |
},
|
| 221 |
{
|
| 222 |
+
"epoch": 0.03,
|
| 223 |
"learning_rate": 2e-05,
|
| 224 |
+
"loss": 1.467,
|
| 225 |
"step": 72
|
| 226 |
},
|
| 227 |
{
|
| 228 |
+
"epoch": 0.03,
|
| 229 |
"learning_rate": 2e-05,
|
| 230 |
+
"loss": 1.4139,
|
| 231 |
"step": 74
|
| 232 |
},
|
| 233 |
{
|
| 234 |
+
"epoch": 0.03,
|
| 235 |
"learning_rate": 2e-05,
|
| 236 |
+
"loss": 1.4341,
|
| 237 |
"step": 76
|
| 238 |
},
|
| 239 |
{
|
| 240 |
+
"epoch": 0.03,
|
| 241 |
"learning_rate": 2e-05,
|
| 242 |
+
"loss": 1.4279,
|
| 243 |
"step": 78
|
| 244 |
},
|
| 245 |
{
|
| 246 |
+
"epoch": 0.04,
|
| 247 |
"learning_rate": 2e-05,
|
| 248 |
+
"loss": 1.457,
|
| 249 |
"step": 80
|
| 250 |
},
|
| 251 |
{
|
| 252 |
+
"epoch": 0.04,
|
| 253 |
"learning_rate": 2e-05,
|
| 254 |
+
"loss": 1.3495,
|
| 255 |
"step": 82
|
| 256 |
},
|
| 257 |
{
|
| 258 |
+
"epoch": 0.04,
|
| 259 |
"learning_rate": 2e-05,
|
| 260 |
+
"loss": 1.5257,
|
| 261 |
"step": 84
|
| 262 |
},
|
| 263 |
{
|
| 264 |
+
"epoch": 0.04,
|
| 265 |
"learning_rate": 2e-05,
|
| 266 |
+
"loss": 1.6493,
|
| 267 |
"step": 86
|
| 268 |
},
|
| 269 |
{
|
| 270 |
+
"epoch": 0.04,
|
| 271 |
"learning_rate": 2e-05,
|
| 272 |
+
"loss": 1.6777,
|
| 273 |
"step": 88
|
| 274 |
},
|
| 275 |
{
|
| 276 |
+
"epoch": 0.04,
|
| 277 |
"learning_rate": 2e-05,
|
| 278 |
+
"loss": 1.6922,
|
| 279 |
"step": 90
|
| 280 |
},
|
| 281 |
{
|
| 282 |
+
"epoch": 0.04,
|
| 283 |
"learning_rate": 2e-05,
|
| 284 |
+
"loss": 1.874,
|
| 285 |
"step": 92
|
| 286 |
},
|
| 287 |
{
|
| 288 |
+
"epoch": 0.04,
|
| 289 |
"learning_rate": 2e-05,
|
| 290 |
+
"loss": 2.2485,
|
| 291 |
"step": 94
|
| 292 |
},
|
| 293 |
{
|
| 294 |
+
"epoch": 0.04,
|
| 295 |
"learning_rate": 2e-05,
|
| 296 |
+
"loss": 2.1628,
|
| 297 |
"step": 96
|
| 298 |
},
|
| 299 |
{
|
| 300 |
+
"epoch": 0.04,
|
| 301 |
"learning_rate": 2e-05,
|
| 302 |
+
"loss": 2.1343,
|
| 303 |
"step": 98
|
| 304 |
},
|
| 305 |
{
|
| 306 |
+
"epoch": 0.04,
|
| 307 |
"learning_rate": 2e-05,
|
| 308 |
+
"loss": 2.1377,
|
| 309 |
"step": 100
|
| 310 |
},
|
| 311 |
{
|
| 312 |
+
"epoch": 0.04,
|
| 313 |
"learning_rate": 2e-05,
|
| 314 |
+
"loss": 1.6606,
|
| 315 |
"step": 102
|
| 316 |
},
|
| 317 |
{
|
| 318 |
+
"epoch": 0.05,
|
| 319 |
"learning_rate": 2e-05,
|
| 320 |
+
"loss": 1.6934,
|
| 321 |
"step": 104
|
| 322 |
},
|
| 323 |
{
|
| 324 |
+
"epoch": 0.05,
|
| 325 |
"learning_rate": 2e-05,
|
| 326 |
+
"loss": 1.2332,
|
| 327 |
"step": 106
|
| 328 |
},
|
| 329 |
{
|
| 330 |
+
"epoch": 0.05,
|
| 331 |
"learning_rate": 2e-05,
|
| 332 |
+
"loss": 1.4477,
|
| 333 |
"step": 108
|
| 334 |
},
|
| 335 |
{
|
| 336 |
+
"epoch": 0.05,
|
| 337 |
"learning_rate": 2e-05,
|
| 338 |
+
"loss": 1.577,
|
| 339 |
"step": 110
|
| 340 |
},
|
| 341 |
{
|
| 342 |
+
"epoch": 0.05,
|
| 343 |
"learning_rate": 2e-05,
|
| 344 |
+
"loss": 1.7341,
|
| 345 |
"step": 112
|
| 346 |
},
|
| 347 |
{
|
| 348 |
+
"epoch": 0.05,
|
| 349 |
"learning_rate": 2e-05,
|
| 350 |
+
"loss": 1.7198,
|
| 351 |
"step": 114
|
| 352 |
},
|
| 353 |
{
|
| 354 |
+
"epoch": 0.05,
|
| 355 |
"learning_rate": 2e-05,
|
| 356 |
+
"loss": 1.6299,
|
| 357 |
"step": 116
|
| 358 |
},
|
| 359 |
{
|
| 360 |
+
"epoch": 0.05,
|
| 361 |
"learning_rate": 2e-05,
|
| 362 |
+
"loss": 1.6074,
|
| 363 |
"step": 118
|
| 364 |
},
|
| 365 |
{
|
| 366 |
+
"epoch": 0.05,
|
| 367 |
"learning_rate": 2e-05,
|
| 368 |
+
"loss": 1.5851,
|
| 369 |
"step": 120
|
| 370 |
},
|
| 371 |
{
|
| 372 |
+
"epoch": 0.05,
|
| 373 |
"learning_rate": 2e-05,
|
| 374 |
+
"loss": 1.6355,
|
| 375 |
"step": 122
|
| 376 |
},
|
| 377 |
{
|
| 378 |
+
"epoch": 0.05,
|
| 379 |
"learning_rate": 2e-05,
|
| 380 |
+
"loss": 1.3311,
|
| 381 |
"step": 124
|
| 382 |
},
|
| 383 |
{
|
| 384 |
+
"epoch": 0.06,
|
| 385 |
"learning_rate": 2e-05,
|
| 386 |
+
"loss": 1.3758,
|
| 387 |
"step": 126
|
| 388 |
},
|
| 389 |
{
|
| 390 |
+
"epoch": 0.06,
|
| 391 |
"learning_rate": 2e-05,
|
| 392 |
+
"loss": 1.4829,
|
| 393 |
"step": 128
|
| 394 |
},
|
| 395 |
{
|
| 396 |
+
"epoch": 0.06,
|
| 397 |
"learning_rate": 2e-05,
|
| 398 |
+
"loss": 1.382,
|
| 399 |
"step": 130
|
| 400 |
},
|
| 401 |
{
|
| 402 |
+
"epoch": 0.06,
|
| 403 |
"learning_rate": 2e-05,
|
| 404 |
+
"loss": 1.4043,
|
| 405 |
"step": 132
|
| 406 |
},
|
| 407 |
{
|
| 408 |
+
"epoch": 0.06,
|
| 409 |
"learning_rate": 2e-05,
|
| 410 |
+
"loss": 1.4347,
|
| 411 |
"step": 134
|
| 412 |
},
|
| 413 |
{
|
| 414 |
+
"epoch": 0.06,
|
| 415 |
"learning_rate": 2e-05,
|
| 416 |
+
"loss": 1.4443,
|
| 417 |
"step": 136
|
| 418 |
},
|
| 419 |
{
|
| 420 |
+
"epoch": 0.06,
|
| 421 |
"learning_rate": 2e-05,
|
| 422 |
+
"loss": 1.5421,
|
| 423 |
"step": 138
|
| 424 |
},
|
| 425 |
{
|
| 426 |
+
"epoch": 0.06,
|
| 427 |
"learning_rate": 2e-05,
|
| 428 |
+
"loss": 1.791,
|
| 429 |
"step": 140
|
| 430 |
},
|
| 431 |
{
|
| 432 |
+
"epoch": 0.06,
|
| 433 |
"learning_rate": 2e-05,
|
| 434 |
+
"loss": 1.8067,
|
| 435 |
"step": 142
|
| 436 |
},
|
| 437 |
{
|
| 438 |
+
"epoch": 0.06,
|
| 439 |
"learning_rate": 2e-05,
|
| 440 |
+
"loss": 1.9289,
|
| 441 |
"step": 144
|
| 442 |
},
|
| 443 |
{
|
| 444 |
+
"epoch": 0.06,
|
| 445 |
"learning_rate": 2e-05,
|
| 446 |
+
"loss": 2.2575,
|
| 447 |
"step": 146
|
| 448 |
},
|
| 449 |
{
|
| 450 |
+
"epoch": 0.07,
|
| 451 |
"learning_rate": 2e-05,
|
| 452 |
+
"loss": 2.0206,
|
| 453 |
"step": 148
|
| 454 |
},
|
| 455 |
{
|
| 456 |
+
"epoch": 0.07,
|
| 457 |
"learning_rate": 2e-05,
|
| 458 |
+
"loss": 2.1199,
|
| 459 |
"step": 150
|
| 460 |
},
|
| 461 |
{
|
| 462 |
+
"epoch": 0.07,
|
| 463 |
"learning_rate": 2e-05,
|
| 464 |
+
"loss": 1.9023,
|
| 465 |
"step": 152
|
| 466 |
},
|
| 467 |
{
|
| 468 |
+
"epoch": 0.07,
|
| 469 |
"learning_rate": 2e-05,
|
| 470 |
+
"loss": 1.4398,
|
| 471 |
"step": 154
|
| 472 |
},
|
| 473 |
{
|
| 474 |
+
"epoch": 0.07,
|
| 475 |
"learning_rate": 2e-05,
|
| 476 |
+
"loss": 1.4766,
|
| 477 |
"step": 156
|
| 478 |
},
|
| 479 |
{
|
| 480 |
+
"epoch": 0.07,
|
| 481 |
"learning_rate": 2e-05,
|
| 482 |
+
"loss": 1.5258,
|
| 483 |
"step": 158
|
| 484 |
},
|
| 485 |
{
|
| 486 |
+
"epoch": 0.07,
|
| 487 |
"learning_rate": 2e-05,
|
| 488 |
+
"loss": 1.4625,
|
| 489 |
"step": 160
|
| 490 |
},
|
| 491 |
{
|
| 492 |
+
"epoch": 0.07,
|
| 493 |
"learning_rate": 2e-05,
|
| 494 |
+
"loss": 1.8697,
|
| 495 |
"step": 162
|
| 496 |
},
|
| 497 |
{
|
| 498 |
+
"epoch": 0.07,
|
| 499 |
"learning_rate": 2e-05,
|
| 500 |
+
"loss": 1.7221,
|
| 501 |
"step": 164
|
| 502 |
},
|
| 503 |
{
|
| 504 |
+
"epoch": 0.07,
|
| 505 |
"learning_rate": 2e-05,
|
| 506 |
+
"loss": 1.4777,
|
| 507 |
"step": 166
|
| 508 |
},
|
| 509 |
{
|
| 510 |
+
"epoch": 0.07,
|
| 511 |
"learning_rate": 2e-05,
|
| 512 |
+
"loss": 1.6155,
|
| 513 |
"step": 168
|
| 514 |
},
|
| 515 |
{
|
| 516 |
+
"epoch": 0.07,
|
| 517 |
"learning_rate": 2e-05,
|
| 518 |
+
"loss": 1.4447,
|
| 519 |
"step": 170
|
| 520 |
},
|
| 521 |
{
|
| 522 |
+
"epoch": 0.08,
|
| 523 |
"learning_rate": 2e-05,
|
| 524 |
+
"loss": 1.3786,
|
| 525 |
"step": 172
|
| 526 |
},
|
| 527 |
{
|
| 528 |
+
"epoch": 0.08,
|
| 529 |
"learning_rate": 2e-05,
|
| 530 |
+
"loss": 1.4162,
|
| 531 |
"step": 174
|
| 532 |
},
|
| 533 |
{
|
| 534 |
+
"epoch": 0.08,
|
| 535 |
"learning_rate": 2e-05,
|
| 536 |
+
"loss": 1.3207,
|
| 537 |
"step": 176
|
| 538 |
},
|
| 539 |
{
|
| 540 |
+
"epoch": 0.08,
|
| 541 |
"learning_rate": 2e-05,
|
| 542 |
+
"loss": 1.3091,
|
| 543 |
"step": 178
|
| 544 |
},
|
| 545 |
{
|
| 546 |
+
"epoch": 0.08,
|
| 547 |
"learning_rate": 2e-05,
|
| 548 |
+
"loss": 1.5184,
|
| 549 |
"step": 180
|
| 550 |
},
|
| 551 |
{
|
| 552 |
+
"epoch": 0.08,
|
| 553 |
"learning_rate": 2e-05,
|
| 554 |
+
"loss": 1.4117,
|
| 555 |
"step": 182
|
| 556 |
},
|
| 557 |
{
|
| 558 |
+
"epoch": 0.08,
|
| 559 |
"learning_rate": 2e-05,
|
| 560 |
+
"loss": 1.4922,
|
| 561 |
"step": 184
|
| 562 |
},
|
| 563 |
{
|
| 564 |
+
"epoch": 0.08,
|
| 565 |
"learning_rate": 2e-05,
|
| 566 |
+
"loss": 1.4994,
|
| 567 |
"step": 186
|
| 568 |
},
|
| 569 |
{
|
| 570 |
+
"epoch": 0.08,
|
| 571 |
"learning_rate": 2e-05,
|
| 572 |
+
"loss": 1.5943,
|
| 573 |
"step": 188
|
| 574 |
},
|
| 575 |
{
|
| 576 |
+
"epoch": 0.08,
|
| 577 |
"learning_rate": 2e-05,
|
| 578 |
+
"loss": 1.7324,
|
| 579 |
"step": 190
|
| 580 |
},
|
| 581 |
{
|
| 582 |
+
"epoch": 0.08,
|
| 583 |
"learning_rate": 2e-05,
|
| 584 |
+
"loss": 1.8203,
|
| 585 |
"step": 192
|
| 586 |
},
|
| 587 |
{
|
| 588 |
+
"epoch": 0.09,
|
| 589 |
"learning_rate": 2e-05,
|
| 590 |
+
"loss": 2.1977,
|
| 591 |
"step": 194
|
| 592 |
},
|
| 593 |
{
|
| 594 |
+
"epoch": 0.09,
|
| 595 |
"learning_rate": 2e-05,
|
| 596 |
+
"loss": 2.2327,
|
| 597 |
"step": 196
|
| 598 |
},
|
| 599 |
{
|
| 600 |
+
"epoch": 0.09,
|
| 601 |
"learning_rate": 2e-05,
|
| 602 |
+
"loss": 1.9701,
|
| 603 |
"step": 198
|
| 604 |
},
|
| 605 |
{
|
| 606 |
+
"epoch": 0.09,
|
| 607 |
"learning_rate": 2e-05,
|
| 608 |
+
"loss": 2.0476,
|
| 609 |
"step": 200
|
| 610 |
},
|
| 611 |
{
|
| 612 |
+
"epoch": 0.09,
|
| 613 |
"learning_rate": 2e-05,
|
| 614 |
+
"loss": 1.9657,
|
| 615 |
"step": 202
|
| 616 |
},
|
| 617 |
{
|
| 618 |
+
"epoch": 0.09,
|
| 619 |
"learning_rate": 2e-05,
|
| 620 |
+
"loss": 1.5043,
|
| 621 |
"step": 204
|
| 622 |
},
|
| 623 |
{
|
| 624 |
+
"epoch": 0.09,
|
| 625 |
"learning_rate": 2e-05,
|
| 626 |
+
"loss": 1.2819,
|
| 627 |
"step": 206
|
| 628 |
},
|
| 629 |
{
|
| 630 |
+
"epoch": 0.09,
|
| 631 |
"learning_rate": 2e-05,
|
| 632 |
+
"loss": 1.3992,
|
| 633 |
"step": 208
|
| 634 |
},
|
| 635 |
{
|
| 636 |
+
"epoch": 0.09,
|
| 637 |
"learning_rate": 2e-05,
|
| 638 |
+
"loss": 1.7253,
|
| 639 |
"step": 210
|
| 640 |
},
|
| 641 |
{
|
| 642 |
+
"epoch": 0.09,
|
| 643 |
"learning_rate": 2e-05,
|
| 644 |
+
"loss": 1.7231,
|
| 645 |
"step": 212
|
| 646 |
},
|
| 647 |
{
|
| 648 |
+
"epoch": 0.09,
|
| 649 |
"learning_rate": 2e-05,
|
| 650 |
+
"loss": 1.7402,
|
| 651 |
"step": 214
|
| 652 |
},
|
| 653 |
{
|
| 654 |
+
"epoch": 0.1,
|
| 655 |
"learning_rate": 2e-05,
|
| 656 |
+
"loss": 1.6367,
|
| 657 |
"step": 216
|
| 658 |
},
|
| 659 |
{
|
| 660 |
+
"epoch": 0.1,
|
| 661 |
"learning_rate": 2e-05,
|
| 662 |
+
"loss": 1.5625,
|
| 663 |
"step": 218
|
| 664 |
},
|
| 665 |
{
|
| 666 |
+
"epoch": 0.1,
|
| 667 |
"learning_rate": 2e-05,
|
| 668 |
+
"loss": 1.4227,
|
| 669 |
"step": 220
|
| 670 |
},
|
| 671 |
{
|
| 672 |
+
"epoch": 0.1,
|
| 673 |
"learning_rate": 2e-05,
|
| 674 |
+
"loss": 1.2991,
|
| 675 |
"step": 222
|
| 676 |
},
|
| 677 |
{
|
| 678 |
+
"epoch": 0.1,
|
| 679 |
"learning_rate": 2e-05,
|
| 680 |
+
"loss": 1.2933,
|
| 681 |
"step": 224
|
| 682 |
},
|
| 683 |
{
|
| 684 |
+
"epoch": 0.1,
|
| 685 |
"learning_rate": 2e-05,
|
| 686 |
+
"loss": 1.4223,
|
| 687 |
"step": 226
|
| 688 |
},
|
| 689 |
{
|
| 690 |
+
"epoch": 0.1,
|
| 691 |
"learning_rate": 2e-05,
|
| 692 |
+
"loss": 1.2852,
|
| 693 |
"step": 228
|
| 694 |
},
|
| 695 |
{
|
| 696 |
+
"epoch": 0.1,
|
| 697 |
"learning_rate": 2e-05,
|
| 698 |
+
"loss": 1.3548,
|
| 699 |
"step": 230
|
| 700 |
},
|
| 701 |
{
|
| 702 |
+
"epoch": 0.1,
|
| 703 |
"learning_rate": 2e-05,
|
| 704 |
+
"loss": 1.2497,
|
| 705 |
"step": 232
|
| 706 |
},
|
| 707 |
{
|
| 708 |
+
"epoch": 0.1,
|
| 709 |
"learning_rate": 2e-05,
|
| 710 |
+
"loss": 1.5737,
|
| 711 |
"step": 234
|
| 712 |
},
|
| 713 |
{
|
| 714 |
+
"epoch": 0.1,
|
| 715 |
"learning_rate": 2e-05,
|
| 716 |
+
"loss": 1.382,
|
| 717 |
"step": 236
|
| 718 |
},
|
| 719 |
{
|
| 720 |
+
"epoch": 0.1,
|
| 721 |
"learning_rate": 2e-05,
|
| 722 |
+
"loss": 1.5346,
|
| 723 |
"step": 238
|
| 724 |
},
|
| 725 |
{
|
| 726 |
+
"epoch": 0.11,
|
| 727 |
"learning_rate": 2e-05,
|
| 728 |
+
"loss": 1.7756,
|
| 729 |
"step": 240
|
| 730 |
},
|
| 731 |
{
|
| 732 |
+
"epoch": 0.11,
|
| 733 |
"learning_rate": 2e-05,
|
| 734 |
+
"loss": 1.9541,
|
| 735 |
"step": 242
|
| 736 |
},
|
| 737 |
{
|
| 738 |
+
"epoch": 0.11,
|
| 739 |
"learning_rate": 2e-05,
|
| 740 |
+
"loss": 2.2106,
|
| 741 |
"step": 244
|
| 742 |
},
|
| 743 |
{
|
| 744 |
+
"epoch": 0.11,
|
| 745 |
"learning_rate": 2e-05,
|
| 746 |
+
"loss": 2.0785,
|
| 747 |
"step": 246
|
| 748 |
},
|
| 749 |
{
|
| 750 |
+
"epoch": 0.11,
|
| 751 |
"learning_rate": 2e-05,
|
| 752 |
+
"loss": 1.8988,
|
| 753 |
"step": 248
|
| 754 |
},
|
| 755 |
{
|
| 756 |
+
"epoch": 0.11,
|
| 757 |
"learning_rate": 2e-05,
|
| 758 |
+
"loss": 1.86,
|
| 759 |
"step": 250
|
| 760 |
},
|
| 761 |
{
|
| 762 |
+
"epoch": 0.11,
|
| 763 |
"learning_rate": 2e-05,
|
| 764 |
+
"loss": 1.8264,
|
| 765 |
"step": 252
|
| 766 |
},
|
| 767 |
{
|
| 768 |
+
"epoch": 0.11,
|
| 769 |
"learning_rate": 2e-05,
|
| 770 |
+
"loss": 1.7554,
|
| 771 |
"step": 254
|
| 772 |
},
|
| 773 |
{
|
| 774 |
+
"epoch": 0.11,
|
| 775 |
"learning_rate": 2e-05,
|
| 776 |
+
"loss": 1.299,
|
| 777 |
"step": 256
|
| 778 |
},
|
| 779 |
{
|
| 780 |
+
"epoch": 0.11,
|
| 781 |
"learning_rate": 2e-05,
|
| 782 |
+
"loss": 1.308,
|
| 783 |
"step": 258
|
| 784 |
},
|
| 785 |
{
|
| 786 |
+
"epoch": 0.11,
|
| 787 |
"learning_rate": 2e-05,
|
| 788 |
+
"loss": 1.5583,
|
| 789 |
"step": 260
|
| 790 |
},
|
| 791 |
{
|
| 792 |
+
"epoch": 0.12,
|
| 793 |
"learning_rate": 2e-05,
|
| 794 |
+
"loss": 1.5724,
|
| 795 |
"step": 262
|
| 796 |
},
|
| 797 |
{
|
| 798 |
+
"epoch": 0.12,
|
| 799 |
"learning_rate": 2e-05,
|
| 800 |
+
"loss": 1.7012,
|
| 801 |
"step": 264
|
| 802 |
},
|
| 803 |
{
|
| 804 |
+
"epoch": 0.12,
|
| 805 |
"learning_rate": 2e-05,
|
| 806 |
+
"loss": 1.7865,
|
| 807 |
"step": 266
|
| 808 |
},
|
| 809 |
{
|
| 810 |
+
"epoch": 0.12,
|
| 811 |
"learning_rate": 2e-05,
|
| 812 |
+
"loss": 1.7213,
|
| 813 |
"step": 268
|
| 814 |
},
|
| 815 |
{
|
| 816 |
+
"epoch": 0.12,
|
| 817 |
"learning_rate": 2e-05,
|
| 818 |
+
"loss": 1.4527,
|
| 819 |
"step": 270
|
| 820 |
},
|
| 821 |
{
|
| 822 |
+
"epoch": 0.12,
|
| 823 |
"learning_rate": 2e-05,
|
| 824 |
+
"loss": 1.4603,
|
| 825 |
"step": 272
|
| 826 |
},
|
| 827 |
{
|
| 828 |
+
"epoch": 0.12,
|
| 829 |
"learning_rate": 2e-05,
|
| 830 |
+
"loss": 1.3805,
|
| 831 |
"step": 274
|
| 832 |
},
|
| 833 |
{
|
| 834 |
+
"epoch": 0.12,
|
| 835 |
"learning_rate": 2e-05,
|
| 836 |
+
"loss": 1.3234,
|
| 837 |
"step": 276
|
| 838 |
},
|
| 839 |
{
|
| 840 |
+
"epoch": 0.12,
|
| 841 |
"learning_rate": 2e-05,
|
| 842 |
+
"loss": 1.218,
|
| 843 |
"step": 278
|
| 844 |
},
|
| 845 |
{
|
| 846 |
+
"epoch": 0.12,
|
| 847 |
"learning_rate": 2e-05,
|
| 848 |
+
"loss": 1.3068,
|
| 849 |
"step": 280
|
| 850 |
},
|
| 851 |
{
|
| 852 |
+
"epoch": 0.12,
|
| 853 |
"learning_rate": 2e-05,
|
| 854 |
+
"loss": 1.2737,
|
| 855 |
"step": 282
|
| 856 |
},
|
| 857 |
{
|
| 858 |
+
"epoch": 0.13,
|
| 859 |
"learning_rate": 2e-05,
|
| 860 |
+
"loss": 1.3863,
|
| 861 |
"step": 284
|
| 862 |
},
|
| 863 |
{
|
| 864 |
+
"epoch": 0.13,
|
| 865 |
"learning_rate": 2e-05,
|
| 866 |
+
"loss": 1.3745,
|
| 867 |
"step": 286
|
| 868 |
},
|
| 869 |
{
|
| 870 |
+
"epoch": 0.13,
|
| 871 |
"learning_rate": 2e-05,
|
| 872 |
+
"loss": 1.5121,
|
| 873 |
"step": 288
|
| 874 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 875 |
{
|
| 876 |
"epoch": 0.13,
|
| 877 |
"learning_rate": 2e-05,
|
| 878 |
+
"loss": 1.6826,
|
| 879 |
+
"step": 290
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 880 |
},
|
| 881 |
{
|
| 882 |
"epoch": 0.13,
|
| 883 |
"learning_rate": 2e-05,
|
| 884 |
+
"loss": 1.8043,
|
| 885 |
+
"step": 292
|
| 886 |
},
|
| 887 |
{
|
| 888 |
"epoch": 0.13,
|
| 889 |
"learning_rate": 2e-05,
|
| 890 |
+
"loss": 2.1077,
|
| 891 |
+
"step": 294
|
| 892 |
},
|
| 893 |
{
|
| 894 |
"epoch": 0.13,
|
| 895 |
"learning_rate": 2e-05,
|
| 896 |
+
"loss": 2.1364,
|
| 897 |
+
"step": 296
|
| 898 |
},
|
| 899 |
{
|
| 900 |
"epoch": 0.13,
|
| 901 |
"learning_rate": 2e-05,
|
| 902 |
+
"loss": 1.9274,
|
| 903 |
+
"step": 298
|
| 904 |
},
|
| 905 |
{
|
| 906 |
"epoch": 0.13,
|
| 907 |
"learning_rate": 2e-05,
|
| 908 |
+
"loss": 1.9239,
|
| 909 |
+
"step": 300
|
| 910 |
}
|
| 911 |
],
|
| 912 |
"logging_steps": 2,
|
| 913 |
+
"max_steps": 6807,
|
| 914 |
"num_train_epochs": 3,
|
| 915 |
"save_steps": 50,
|
| 916 |
+
"total_flos": 5917478672695296.0,
|
| 917 |
"trial_name": null,
|
| 918 |
"trial_params": null
|
| 919 |
}
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4027
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:215b4567909bd31282b9ac473e0ec14a3ce5a1cd00c40c00e45a82c3502c144a
|
| 3 |
size 4027
|