Upload folder using huggingface_hub
Browse files- config.json +2 -2
- model.safetensors +1 -1
- optimizer.pt +2 -2
- rng_state.pth +2 -2
- scheduler.pt +2 -2
- trainer_state.json +1177 -1441
- training_args.bin +2 -2
config.json
CHANGED
|
@@ -1,5 +1,4 @@
|
|
| 1 |
{
|
| 2 |
-
"_name_or_path": "facebook/dinov2-large",
|
| 3 |
"apply_layernorm": true,
|
| 4 |
"architectures": [
|
| 5 |
"Dinov2ForImageClassification"
|
|
@@ -64,6 +63,7 @@
|
|
| 64 |
"stage24"
|
| 65 |
],
|
| 66 |
"torch_dtype": "float32",
|
| 67 |
-
"transformers_version": "4.
|
|
|
|
| 68 |
"use_swiglu_ffn": false
|
| 69 |
}
|
|
|
|
| 1 |
{
|
|
|
|
| 2 |
"apply_layernorm": true,
|
| 3 |
"architectures": [
|
| 4 |
"Dinov2ForImageClassification"
|
|
|
|
| 63 |
"stage24"
|
| 64 |
],
|
| 65 |
"torch_dtype": "float32",
|
| 66 |
+
"transformers_version": "4.55.0",
|
| 67 |
+
"use_mask_token": true,
|
| 68 |
"use_swiglu_ffn": false
|
| 69 |
}
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1217542512
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7684dd0bee143c165a13e40b200e74b83e5730313994f325856ecfd226a59814
|
| 3 |
size 1217542512
|
optimizer.pt
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 sha256:2acd6835fc519f929766a696ca04665b27bd5bbb045557972b14474f3bce4c92
|
| 3 |
+
size 2435342411
|
rng_state.pth
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 sha256:19ccfa6648bb1f02962041997ca442dc7d76d31ebc06f976312fff3ae284f3d5
|
| 3 |
+
size 14645
|
scheduler.pt
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 sha256:913cec26aa420fc22fed3530877c5dd63f68c70251cd954c072cc84f11c71717
|
| 3 |
+
size 1465
|
trainer_state.json
CHANGED
|
@@ -1,2197 +1,1933 @@
|
|
| 1 |
{
|
| 2 |
-
"
|
| 3 |
-
"
|
| 4 |
-
"
|
|
|
|
| 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,
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
-
"epoch": 0.
|
| 13 |
-
"grad_norm":
|
| 14 |
-
"learning_rate": 3.
|
| 15 |
-
"loss":
|
| 16 |
"step": 10
|
| 17 |
},
|
| 18 |
{
|
| 19 |
-
"epoch": 0.
|
| 20 |
-
"grad_norm":
|
| 21 |
-
"learning_rate":
|
| 22 |
-
"loss":
|
| 23 |
"step": 20
|
| 24 |
},
|
| 25 |
{
|
| 26 |
-
"epoch": 0.
|
| 27 |
-
"grad_norm":
|
| 28 |
-
"learning_rate": 1.
|
| 29 |
-
"loss":
|
| 30 |
"step": 30
|
| 31 |
},
|
| 32 |
{
|
| 33 |
-
"epoch": 0.
|
| 34 |
-
"grad_norm":
|
| 35 |
-
"learning_rate": 1.
|
| 36 |
-
"loss":
|
| 37 |
"step": 40
|
| 38 |
},
|
| 39 |
{
|
| 40 |
-
"epoch": 0.
|
| 41 |
-
"grad_norm":
|
| 42 |
-
"learning_rate": 1.
|
| 43 |
-
"loss":
|
| 44 |
"step": 50
|
| 45 |
},
|
| 46 |
{
|
| 47 |
-
"epoch": 0.
|
| 48 |
-
"grad_norm":
|
| 49 |
-
"learning_rate": 2.
|
| 50 |
-
"loss":
|
| 51 |
"step": 60
|
| 52 |
},
|
| 53 |
{
|
| 54 |
-
"epoch": 0.
|
| 55 |
-
"grad_norm":
|
| 56 |
-
"learning_rate": 2.
|
| 57 |
-
"loss":
|
| 58 |
"step": 70
|
| 59 |
},
|
| 60 |
{
|
| 61 |
-
"epoch": 0.
|
| 62 |
-
"grad_norm":
|
| 63 |
-
"learning_rate": 2.
|
| 64 |
-
"loss":
|
| 65 |
"step": 80
|
| 66 |
},
|
| 67 |
{
|
| 68 |
-
"epoch": 0.
|
| 69 |
-
"grad_norm":
|
| 70 |
-
"learning_rate": 3.
|
| 71 |
-
"loss":
|
| 72 |
"step": 90
|
| 73 |
},
|
| 74 |
{
|
| 75 |
-
"epoch": 0.
|
| 76 |
-
"grad_norm":
|
| 77 |
-
"learning_rate": 3.
|
| 78 |
-
"loss":
|
| 79 |
"step": 100
|
| 80 |
},
|
| 81 |
{
|
| 82 |
-
"epoch": 0.
|
| 83 |
-
"grad_norm":
|
| 84 |
-
"learning_rate": 3.
|
| 85 |
-
"loss":
|
| 86 |
"step": 110
|
| 87 |
},
|
| 88 |
{
|
| 89 |
"epoch": 1.0,
|
| 90 |
-
"eval_loss": 0.
|
| 91 |
-
"eval_macro_f1": 0.
|
| 92 |
-
"eval_runtime":
|
| 93 |
-
"eval_samples_per_second":
|
| 94 |
-
"eval_steps_per_second":
|
| 95 |
-
"step":
|
| 96 |
-
},
|
| 97 |
-
{
|
| 98 |
-
"epoch": 1.
|
| 99 |
-
"grad_norm":
|
| 100 |
-
"learning_rate": 4.
|
| 101 |
-
"loss":
|
| 102 |
"step": 120
|
| 103 |
},
|
| 104 |
{
|
| 105 |
-
"epoch": 1.
|
| 106 |
-
"grad_norm":
|
| 107 |
-
"learning_rate": 4.
|
| 108 |
-
"loss":
|
| 109 |
"step": 130
|
| 110 |
},
|
| 111 |
{
|
| 112 |
-
"epoch": 1.
|
| 113 |
-
"grad_norm":
|
| 114 |
-
"learning_rate":
|
| 115 |
-
"loss":
|
| 116 |
"step": 140
|
| 117 |
},
|
| 118 |
{
|
| 119 |
-
"epoch": 1.
|
| 120 |
-
"grad_norm":
|
| 121 |
-
"learning_rate": 5.
|
| 122 |
-
"loss":
|
| 123 |
"step": 150
|
| 124 |
},
|
| 125 |
{
|
| 126 |
-
"epoch": 1.
|
| 127 |
-
"grad_norm":
|
| 128 |
-
"learning_rate": 5.
|
| 129 |
-
"loss":
|
| 130 |
"step": 160
|
| 131 |
},
|
| 132 |
{
|
| 133 |
-
"epoch": 1.
|
| 134 |
-
"grad_norm":
|
| 135 |
-
"learning_rate": 6.
|
| 136 |
-
"loss":
|
| 137 |
"step": 170
|
| 138 |
},
|
| 139 |
{
|
| 140 |
-
"epoch": 1.
|
| 141 |
-
"grad_norm":
|
| 142 |
-
"learning_rate": 6.
|
| 143 |
-
"loss":
|
| 144 |
"step": 180
|
| 145 |
},
|
| 146 |
{
|
| 147 |
-
"epoch": 1.
|
| 148 |
-
"grad_norm":
|
| 149 |
-
"learning_rate": 6.
|
| 150 |
-
"loss":
|
| 151 |
"step": 190
|
| 152 |
},
|
| 153 |
{
|
| 154 |
-
"epoch": 1.
|
| 155 |
-
"grad_norm":
|
| 156 |
-
"learning_rate": 7.
|
| 157 |
-
"loss":
|
| 158 |
"step": 200
|
| 159 |
},
|
| 160 |
{
|
| 161 |
-
"epoch": 1.
|
| 162 |
-
"grad_norm":
|
| 163 |
-
"learning_rate": 7.
|
| 164 |
-
"loss":
|
| 165 |
"step": 210
|
| 166 |
},
|
| 167 |
{
|
| 168 |
-
"epoch": 1.
|
| 169 |
-
"grad_norm":
|
| 170 |
-
"learning_rate": 7.
|
| 171 |
-
"loss":
|
| 172 |
"step": 220
|
| 173 |
},
|
| 174 |
{
|
| 175 |
"epoch": 2.0,
|
| 176 |
-
"eval_loss": 0.
|
| 177 |
-
"eval_macro_f1": 0.
|
| 178 |
-
"eval_runtime":
|
| 179 |
-
"eval_samples_per_second":
|
| 180 |
-
"eval_steps_per_second":
|
| 181 |
-
"step":
|
| 182 |
-
},
|
| 183 |
-
{
|
| 184 |
-
"epoch": 2.
|
| 185 |
-
"grad_norm":
|
| 186 |
-
"learning_rate": 8.
|
| 187 |
-
"loss":
|
| 188 |
"step": 230
|
| 189 |
},
|
| 190 |
{
|
| 191 |
-
"epoch": 2.
|
| 192 |
-
"grad_norm":
|
| 193 |
-
"learning_rate": 8.
|
| 194 |
-
"loss":
|
| 195 |
"step": 240
|
| 196 |
},
|
| 197 |
{
|
| 198 |
-
"epoch": 2.
|
| 199 |
-
"grad_norm":
|
| 200 |
-
"learning_rate": 8.
|
| 201 |
-
"loss":
|
| 202 |
"step": 250
|
| 203 |
},
|
| 204 |
{
|
| 205 |
-
"epoch": 2.
|
| 206 |
-
"grad_norm":
|
| 207 |
-
"learning_rate": 9.
|
| 208 |
-
"loss":
|
| 209 |
"step": 260
|
| 210 |
},
|
| 211 |
{
|
| 212 |
-
"epoch": 2.
|
| 213 |
-
"grad_norm":
|
| 214 |
-
"learning_rate": 9.
|
| 215 |
-
"loss":
|
| 216 |
"step": 270
|
| 217 |
},
|
| 218 |
{
|
| 219 |
-
"epoch": 2.
|
| 220 |
-
"grad_norm":
|
| 221 |
-
"learning_rate":
|
| 222 |
-
"loss":
|
| 223 |
"step": 280
|
| 224 |
},
|
| 225 |
{
|
| 226 |
-
"epoch": 2.
|
| 227 |
-
"grad_norm":
|
| 228 |
-
"learning_rate": 9.
|
| 229 |
-
"loss":
|
| 230 |
"step": 290
|
| 231 |
},
|
| 232 |
{
|
| 233 |
-
"epoch": 2.
|
| 234 |
-
"grad_norm":
|
| 235 |
-
"learning_rate": 9.
|
| 236 |
-
"loss":
|
| 237 |
"step": 300
|
| 238 |
},
|
| 239 |
{
|
| 240 |
-
"epoch": 2.
|
| 241 |
-
"grad_norm":
|
| 242 |
-
"learning_rate": 9.
|
| 243 |
-
"loss":
|
| 244 |
"step": 310
|
| 245 |
},
|
| 246 |
{
|
| 247 |
-
"epoch": 2.
|
| 248 |
-
"grad_norm":
|
| 249 |
-
"learning_rate": 9.
|
| 250 |
-
"loss":
|
| 251 |
"step": 320
|
| 252 |
},
|
| 253 |
{
|
| 254 |
-
"epoch": 2.
|
| 255 |
-
"grad_norm":
|
| 256 |
-
"learning_rate": 9.
|
| 257 |
-
"loss":
|
| 258 |
"step": 330
|
| 259 |
},
|
| 260 |
{
|
| 261 |
"epoch": 3.0,
|
| 262 |
-
"eval_loss": 0.
|
| 263 |
-
"eval_macro_f1": 0.
|
| 264 |
-
"eval_runtime":
|
| 265 |
-
"eval_samples_per_second":
|
| 266 |
-
"eval_steps_per_second":
|
| 267 |
-
"step":
|
| 268 |
-
},
|
| 269 |
-
{
|
| 270 |
-
"epoch": 3.
|
| 271 |
-
"grad_norm":
|
| 272 |
-
"learning_rate": 9.
|
| 273 |
-
"loss":
|
| 274 |
"step": 340
|
| 275 |
},
|
| 276 |
{
|
| 277 |
-
"epoch": 3.
|
| 278 |
-
"grad_norm":
|
| 279 |
-
"learning_rate": 9.
|
| 280 |
-
"loss":
|
| 281 |
"step": 350
|
| 282 |
},
|
| 283 |
{
|
| 284 |
-
"epoch": 3.
|
| 285 |
-
"grad_norm":
|
| 286 |
-
"learning_rate": 9.
|
| 287 |
-
"loss":
|
| 288 |
"step": 360
|
| 289 |
},
|
| 290 |
{
|
| 291 |
-
"epoch": 3.
|
| 292 |
-
"grad_norm":
|
| 293 |
-
"learning_rate": 9.
|
| 294 |
-
"loss":
|
| 295 |
"step": 370
|
| 296 |
},
|
| 297 |
{
|
| 298 |
-
"epoch": 3.
|
| 299 |
-
"grad_norm":
|
| 300 |
-
"learning_rate": 9.
|
| 301 |
-
"loss":
|
| 302 |
"step": 380
|
| 303 |
},
|
| 304 |
{
|
| 305 |
-
"epoch": 3.
|
| 306 |
-
"grad_norm":
|
| 307 |
-
"learning_rate": 9.
|
| 308 |
-
"loss":
|
| 309 |
"step": 390
|
| 310 |
},
|
| 311 |
{
|
| 312 |
-
"epoch": 3.
|
| 313 |
-
"grad_norm":
|
| 314 |
-
"learning_rate": 9.
|
| 315 |
-
"loss":
|
| 316 |
"step": 400
|
| 317 |
},
|
| 318 |
{
|
| 319 |
-
"epoch": 3.
|
| 320 |
-
"grad_norm":
|
| 321 |
-
"learning_rate": 9.
|
| 322 |
-
"loss":
|
| 323 |
"step": 410
|
| 324 |
},
|
| 325 |
{
|
| 326 |
-
"epoch": 3.
|
| 327 |
-
"grad_norm":
|
| 328 |
-
"learning_rate": 9.
|
| 329 |
-
"loss":
|
| 330 |
"step": 420
|
| 331 |
},
|
| 332 |
{
|
| 333 |
-
"epoch": 3.
|
| 334 |
-
"grad_norm":
|
| 335 |
-
"learning_rate": 9.
|
| 336 |
-
"loss":
|
| 337 |
"step": 430
|
| 338 |
},
|
| 339 |
{
|
| 340 |
-
"epoch": 3.
|
| 341 |
-
"grad_norm":
|
| 342 |
-
"learning_rate": 9.
|
| 343 |
-
"loss":
|
| 344 |
"step": 440
|
| 345 |
},
|
| 346 |
{
|
| 347 |
-
"epoch":
|
| 348 |
-
"
|
| 349 |
-
"
|
| 350 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 351 |
"step": 450
|
| 352 |
},
|
| 353 |
{
|
| 354 |
-
"epoch": 4.
|
| 355 |
-
"
|
| 356 |
-
"
|
| 357 |
-
"
|
| 358 |
-
"eval_samples_per_second": 32.275,
|
| 359 |
-
"eval_steps_per_second": 4.061,
|
| 360 |
-
"step": 452
|
| 361 |
-
},
|
| 362 |
-
{
|
| 363 |
-
"epoch": 4.071269487750556,
|
| 364 |
-
"grad_norm": 46.56773376464844,
|
| 365 |
-
"learning_rate": 9.285714285714288e-06,
|
| 366 |
-
"loss": 1.1574,
|
| 367 |
"step": 460
|
| 368 |
},
|
| 369 |
{
|
| 370 |
-
"epoch": 4.
|
| 371 |
-
"grad_norm":
|
| 372 |
-
"learning_rate": 9.
|
| 373 |
-
"loss":
|
| 374 |
"step": 470
|
| 375 |
},
|
| 376 |
{
|
| 377 |
-
"epoch": 4.
|
| 378 |
-
"grad_norm":
|
| 379 |
-
"learning_rate": 9.
|
| 380 |
-
"loss":
|
| 381 |
"step": 480
|
| 382 |
},
|
| 383 |
{
|
| 384 |
-
"epoch": 4.
|
| 385 |
-
"grad_norm":
|
| 386 |
-
"learning_rate": 9.
|
| 387 |
-
"loss":
|
| 388 |
"step": 490
|
| 389 |
},
|
| 390 |
{
|
| 391 |
-
"epoch": 4.
|
| 392 |
-
"grad_norm":
|
| 393 |
-
"learning_rate": 9.
|
| 394 |
-
"loss":
|
| 395 |
"step": 500
|
| 396 |
},
|
| 397 |
{
|
| 398 |
-
"epoch": 4.
|
| 399 |
-
"grad_norm":
|
| 400 |
-
"learning_rate": 9.
|
| 401 |
-
"loss":
|
| 402 |
"step": 510
|
| 403 |
},
|
| 404 |
{
|
| 405 |
-
"epoch": 4.
|
| 406 |
-
"grad_norm":
|
| 407 |
-
"learning_rate": 9.
|
| 408 |
-
"loss":
|
| 409 |
"step": 520
|
| 410 |
},
|
| 411 |
{
|
| 412 |
-
"epoch": 4.
|
| 413 |
-
"grad_norm":
|
| 414 |
-
"learning_rate": 9.
|
| 415 |
-
"loss":
|
| 416 |
"step": 530
|
| 417 |
},
|
| 418 |
{
|
| 419 |
-
"epoch": 4.
|
| 420 |
-
"grad_norm":
|
| 421 |
-
"learning_rate": 8.
|
| 422 |
-
"loss":
|
| 423 |
"step": 540
|
| 424 |
},
|
| 425 |
{
|
| 426 |
-
"epoch": 4.
|
| 427 |
-
"grad_norm":
|
| 428 |
-
"learning_rate": 8.
|
| 429 |
-
"loss":
|
| 430 |
"step": 550
|
| 431 |
},
|
| 432 |
{
|
| 433 |
-
"epoch":
|
| 434 |
-
"grad_norm":
|
| 435 |
-
"learning_rate": 8.
|
| 436 |
-
"loss":
|
| 437 |
"step": 560
|
| 438 |
},
|
| 439 |
{
|
| 440 |
"epoch": 5.0,
|
| 441 |
-
"eval_loss": 0.
|
| 442 |
-
"eval_macro_f1": 0.
|
| 443 |
-
"eval_runtime":
|
| 444 |
-
"eval_samples_per_second":
|
| 445 |
-
"eval_steps_per_second":
|
| 446 |
-
"step":
|
| 447 |
-
},
|
| 448 |
-
{
|
| 449 |
-
"epoch": 5.
|
| 450 |
-
"grad_norm":
|
| 451 |
-
"learning_rate": 8.
|
| 452 |
-
"loss":
|
| 453 |
"step": 570
|
| 454 |
},
|
| 455 |
{
|
| 456 |
-
"epoch": 5.
|
| 457 |
-
"grad_norm":
|
| 458 |
-
"learning_rate": 8.
|
| 459 |
-
"loss":
|
| 460 |
"step": 580
|
| 461 |
},
|
| 462 |
{
|
| 463 |
-
"epoch": 5.
|
| 464 |
-
"grad_norm":
|
| 465 |
-
"learning_rate": 8.
|
| 466 |
-
"loss":
|
| 467 |
"step": 590
|
| 468 |
},
|
| 469 |
{
|
| 470 |
-
"epoch": 5.
|
| 471 |
-
"grad_norm":
|
| 472 |
-
"learning_rate": 8.
|
| 473 |
-
"loss":
|
| 474 |
"step": 600
|
| 475 |
},
|
| 476 |
{
|
| 477 |
-
"epoch": 5.
|
| 478 |
-
"grad_norm":
|
| 479 |
-
"learning_rate": 8.
|
| 480 |
-
"loss": 0.
|
| 481 |
"step": 610
|
| 482 |
},
|
| 483 |
{
|
| 484 |
-
"epoch": 5.
|
| 485 |
-
"grad_norm":
|
| 486 |
-
"learning_rate": 8.
|
| 487 |
-
"loss":
|
| 488 |
"step": 620
|
| 489 |
},
|
| 490 |
{
|
| 491 |
-
"epoch": 5.
|
| 492 |
-
"grad_norm":
|
| 493 |
-
"learning_rate": 8.
|
| 494 |
-
"loss":
|
| 495 |
"step": 630
|
| 496 |
},
|
| 497 |
{
|
| 498 |
-
"epoch": 5.
|
| 499 |
-
"grad_norm":
|
| 500 |
-
"learning_rate": 8.
|
| 501 |
-
"loss":
|
| 502 |
"step": 640
|
| 503 |
},
|
| 504 |
{
|
| 505 |
-
"epoch": 5.
|
| 506 |
-
"grad_norm":
|
| 507 |
-
"learning_rate": 8.
|
| 508 |
-
"loss": 0.
|
| 509 |
"step": 650
|
| 510 |
},
|
| 511 |
{
|
| 512 |
-
"epoch": 5.
|
| 513 |
-
"grad_norm":
|
| 514 |
-
"learning_rate": 8.
|
| 515 |
-
"loss":
|
| 516 |
"step": 660
|
| 517 |
},
|
| 518 |
{
|
| 519 |
-
"epoch": 5.
|
| 520 |
-
"grad_norm":
|
| 521 |
-
"learning_rate": 8.
|
| 522 |
-
"loss":
|
| 523 |
"step": 670
|
| 524 |
},
|
| 525 |
{
|
| 526 |
"epoch": 6.0,
|
| 527 |
-
"eval_loss": 0.
|
| 528 |
-
"eval_macro_f1": 0.
|
| 529 |
-
"eval_runtime":
|
| 530 |
-
"eval_samples_per_second":
|
| 531 |
-
"eval_steps_per_second":
|
| 532 |
-
"step":
|
| 533 |
-
},
|
| 534 |
-
{
|
| 535 |
-
"epoch": 6.
|
| 536 |
-
"grad_norm":
|
| 537 |
-
"learning_rate": 8.
|
| 538 |
-
"loss":
|
| 539 |
"step": 680
|
| 540 |
},
|
| 541 |
{
|
| 542 |
-
"epoch": 6.
|
| 543 |
-
"grad_norm":
|
| 544 |
-
"learning_rate": 8.
|
| 545 |
-
"loss":
|
| 546 |
"step": 690
|
| 547 |
},
|
| 548 |
{
|
| 549 |
-
"epoch": 6.
|
| 550 |
-
"grad_norm":
|
| 551 |
-
"learning_rate": 8.
|
| 552 |
-
"loss":
|
| 553 |
"step": 700
|
| 554 |
},
|
| 555 |
{
|
| 556 |
-
"epoch": 6.
|
| 557 |
-
"grad_norm":
|
| 558 |
-
"learning_rate": 8.
|
| 559 |
-
"loss": 0.
|
| 560 |
"step": 710
|
| 561 |
},
|
| 562 |
{
|
| 563 |
-
"epoch": 6.
|
| 564 |
-
"grad_norm":
|
| 565 |
-
"learning_rate": 8.
|
| 566 |
-
"loss":
|
| 567 |
"step": 720
|
| 568 |
},
|
| 569 |
{
|
| 570 |
-
"epoch": 6.
|
| 571 |
-
"grad_norm":
|
| 572 |
-
"learning_rate": 8.
|
| 573 |
-
"loss": 0.
|
| 574 |
"step": 730
|
| 575 |
},
|
| 576 |
{
|
| 577 |
-
"epoch": 6.
|
| 578 |
-
"grad_norm":
|
| 579 |
-
"learning_rate": 8.
|
| 580 |
-
"loss": 0.
|
| 581 |
"step": 740
|
| 582 |
},
|
| 583 |
{
|
| 584 |
-
"epoch": 6.
|
| 585 |
-
"grad_norm":
|
| 586 |
-
"learning_rate": 8.
|
| 587 |
-
"loss":
|
| 588 |
"step": 750
|
| 589 |
},
|
| 590 |
{
|
| 591 |
-
"epoch": 6.
|
| 592 |
-
"grad_norm":
|
| 593 |
-
"learning_rate": 8.
|
| 594 |
-
"loss": 0.
|
| 595 |
"step": 760
|
| 596 |
},
|
| 597 |
{
|
| 598 |
-
"epoch": 6.
|
| 599 |
-
"grad_norm":
|
| 600 |
-
"learning_rate": 8.
|
| 601 |
-
"loss": 0.
|
| 602 |
"step": 770
|
| 603 |
},
|
| 604 |
{
|
| 605 |
-
"epoch": 6.
|
| 606 |
-
"grad_norm":
|
| 607 |
-
"learning_rate": 8.
|
| 608 |
-
"loss":
|
| 609 |
"step": 780
|
| 610 |
},
|
| 611 |
{
|
| 612 |
-
"epoch":
|
| 613 |
-
"
|
| 614 |
-
"
|
| 615 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 616 |
"step": 790
|
| 617 |
},
|
| 618 |
{
|
| 619 |
-
"epoch": 7.
|
| 620 |
-
"
|
| 621 |
-
"
|
| 622 |
-
"
|
| 623 |
-
"eval_samples_per_second": 36.781,
|
| 624 |
-
"eval_steps_per_second": 4.628,
|
| 625 |
-
"step": 791
|
| 626 |
-
},
|
| 627 |
-
{
|
| 628 |
-
"epoch": 7.080178173719377,
|
| 629 |
-
"grad_norm": 44.45954513549805,
|
| 630 |
-
"learning_rate": 7.936507936507936e-06,
|
| 631 |
-
"loss": 0.591,
|
| 632 |
"step": 800
|
| 633 |
},
|
| 634 |
{
|
| 635 |
-
"epoch": 7.
|
| 636 |
-
"grad_norm":
|
| 637 |
-
"learning_rate": 7.
|
| 638 |
-
"loss": 0.
|
| 639 |
"step": 810
|
| 640 |
},
|
| 641 |
{
|
| 642 |
-
"epoch": 7.
|
| 643 |
-
"grad_norm":
|
| 644 |
-
"learning_rate": 7.
|
| 645 |
-
"loss": 0.
|
| 646 |
"step": 820
|
| 647 |
},
|
| 648 |
{
|
| 649 |
-
"epoch": 7.
|
| 650 |
-
"grad_norm":
|
| 651 |
-
"learning_rate": 7.
|
| 652 |
-
"loss": 0.
|
| 653 |
"step": 830
|
| 654 |
},
|
| 655 |
{
|
| 656 |
-
"epoch": 7.
|
| 657 |
-
"grad_norm":
|
| 658 |
-
"learning_rate": 7.
|
| 659 |
-
"loss": 0.
|
| 660 |
"step": 840
|
| 661 |
},
|
| 662 |
{
|
| 663 |
-
"epoch": 7.
|
| 664 |
-
"grad_norm":
|
| 665 |
-
"learning_rate": 7.
|
| 666 |
-
"loss": 0.
|
| 667 |
"step": 850
|
| 668 |
},
|
| 669 |
{
|
| 670 |
-
"epoch": 7.
|
| 671 |
-
"grad_norm":
|
| 672 |
-
"learning_rate": 7.
|
| 673 |
-
"loss": 0.
|
| 674 |
"step": 860
|
| 675 |
},
|
| 676 |
{
|
| 677 |
-
"epoch": 7.
|
| 678 |
-
"grad_norm":
|
| 679 |
-
"learning_rate": 7.
|
| 680 |
-
"loss": 0.
|
| 681 |
"step": 870
|
| 682 |
},
|
| 683 |
{
|
| 684 |
-
"epoch": 7.
|
| 685 |
-
"grad_norm":
|
| 686 |
-
"learning_rate": 7.
|
| 687 |
-
"loss": 0.
|
| 688 |
"step": 880
|
| 689 |
},
|
| 690 |
{
|
| 691 |
-
"epoch": 7.
|
| 692 |
-
"grad_norm":
|
| 693 |
-
"learning_rate": 7.
|
| 694 |
-
"loss": 0.
|
| 695 |
"step": 890
|
| 696 |
},
|
| 697 |
{
|
| 698 |
-
"epoch":
|
| 699 |
-
"
|
| 700 |
-
"
|
| 701 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 702 |
"step": 900
|
| 703 |
},
|
| 704 |
{
|
| 705 |
-
"epoch": 8.
|
| 706 |
-
"
|
| 707 |
-
"
|
| 708 |
-
"
|
| 709 |
-
"eval_samples_per_second": 38.611,
|
| 710 |
-
"eval_steps_per_second": 4.859,
|
| 711 |
-
"step": 904
|
| 712 |
-
},
|
| 713 |
-
{
|
| 714 |
-
"epoch": 8.053452115812918,
|
| 715 |
-
"grad_norm": 67.79409790039062,
|
| 716 |
-
"learning_rate": 7.500000000000001e-06,
|
| 717 |
-
"loss": 0.7653,
|
| 718 |
"step": 910
|
| 719 |
},
|
| 720 |
{
|
| 721 |
-
"epoch": 8.
|
| 722 |
-
"grad_norm":
|
| 723 |
-
"learning_rate": 7.
|
| 724 |
-
"loss": 0.
|
| 725 |
"step": 920
|
| 726 |
},
|
| 727 |
{
|
| 728 |
-
"epoch": 8.
|
| 729 |
-
"grad_norm":
|
| 730 |
-
"learning_rate": 7.
|
| 731 |
-
"loss": 0.
|
| 732 |
"step": 930
|
| 733 |
},
|
| 734 |
{
|
| 735 |
-
"epoch": 8.
|
| 736 |
-
"grad_norm":
|
| 737 |
-
"learning_rate": 7.
|
| 738 |
-
"loss": 0.
|
| 739 |
"step": 940
|
| 740 |
},
|
| 741 |
{
|
| 742 |
-
"epoch": 8.
|
| 743 |
-
"grad_norm":
|
| 744 |
-
"learning_rate": 7.
|
| 745 |
-
"loss": 0.
|
| 746 |
"step": 950
|
| 747 |
},
|
| 748 |
{
|
| 749 |
-
"epoch": 8.
|
| 750 |
-
"grad_norm":
|
| 751 |
-
"learning_rate": 7.
|
| 752 |
-
"loss": 0.
|
| 753 |
"step": 960
|
| 754 |
},
|
| 755 |
{
|
| 756 |
-
"epoch": 8.
|
| 757 |
-
"grad_norm":
|
| 758 |
-
"learning_rate": 7.
|
| 759 |
-
"loss": 0.
|
| 760 |
"step": 970
|
| 761 |
},
|
| 762 |
{
|
| 763 |
-
"epoch": 8.
|
| 764 |
-
"grad_norm":
|
| 765 |
-
"learning_rate": 7.
|
| 766 |
-
"loss": 0.
|
| 767 |
"step": 980
|
| 768 |
},
|
| 769 |
{
|
| 770 |
-
"epoch": 8.
|
| 771 |
-
"grad_norm":
|
| 772 |
-
"learning_rate": 7.
|
| 773 |
-
"loss": 0.
|
| 774 |
"step": 990
|
| 775 |
},
|
| 776 |
{
|
| 777 |
-
"epoch": 8.
|
| 778 |
-
"grad_norm":
|
| 779 |
-
"learning_rate": 7.
|
| 780 |
-
"loss": 0.
|
| 781 |
"step": 1000
|
| 782 |
},
|
| 783 |
{
|
| 784 |
-
"epoch":
|
| 785 |
-
"
|
| 786 |
-
"
|
| 787 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 788 |
"step": 1010
|
| 789 |
},
|
| 790 |
{
|
| 791 |
-
"epoch": 9.
|
| 792 |
-
"
|
| 793 |
-
"
|
| 794 |
-
"
|
| 795 |
-
"eval_samples_per_second": 45.358,
|
| 796 |
-
"eval_steps_per_second": 5.708,
|
| 797 |
-
"step": 1017
|
| 798 |
-
},
|
| 799 |
-
{
|
| 800 |
-
"epoch": 9.026726057906458,
|
| 801 |
-
"grad_norm": 60.106876373291016,
|
| 802 |
-
"learning_rate": 7.063492063492064e-06,
|
| 803 |
-
"loss": 0.6911,
|
| 804 |
"step": 1020
|
| 805 |
},
|
| 806 |
{
|
| 807 |
-
"epoch": 9.
|
| 808 |
-
"grad_norm":
|
| 809 |
-
"learning_rate": 7.
|
| 810 |
-
"loss": 0.
|
| 811 |
"step": 1030
|
| 812 |
},
|
| 813 |
{
|
| 814 |
-
"epoch": 9.
|
| 815 |
-
"grad_norm":
|
| 816 |
-
"learning_rate": 6.
|
| 817 |
-
"loss": 0.
|
| 818 |
"step": 1040
|
| 819 |
},
|
| 820 |
{
|
| 821 |
-
"epoch": 9.
|
| 822 |
-
"grad_norm":
|
| 823 |
-
"learning_rate": 6.
|
| 824 |
-
"loss": 0.
|
| 825 |
"step": 1050
|
| 826 |
},
|
| 827 |
{
|
| 828 |
-
"epoch": 9.
|
| 829 |
-
"grad_norm":
|
| 830 |
-
"learning_rate": 6.
|
| 831 |
-
"loss": 0.
|
| 832 |
"step": 1060
|
| 833 |
},
|
| 834 |
{
|
| 835 |
-
"epoch": 9.
|
| 836 |
-
"grad_norm":
|
| 837 |
-
"learning_rate": 6.
|
| 838 |
-
"loss": 0.
|
| 839 |
"step": 1070
|
| 840 |
},
|
| 841 |
{
|
| 842 |
-
"epoch": 9.
|
| 843 |
-
"grad_norm":
|
| 844 |
-
"learning_rate": 6.
|
| 845 |
-
"loss": 0.
|
| 846 |
"step": 1080
|
| 847 |
},
|
| 848 |
{
|
| 849 |
-
"epoch": 9.
|
| 850 |
-
"grad_norm":
|
| 851 |
-
"learning_rate": 6.
|
| 852 |
-
"loss": 0.
|
| 853 |
"step": 1090
|
| 854 |
},
|
| 855 |
{
|
| 856 |
-
"epoch": 9.
|
| 857 |
-
"grad_norm":
|
| 858 |
-
"learning_rate": 6.
|
| 859 |
-
"loss": 0.
|
| 860 |
"step": 1100
|
| 861 |
},
|
| 862 |
{
|
| 863 |
-
"epoch": 9.
|
| 864 |
-
"grad_norm":
|
| 865 |
-
"learning_rate": 6.
|
| 866 |
-
"loss": 0.
|
| 867 |
"step": 1110
|
| 868 |
},
|
| 869 |
{
|
| 870 |
-
"epoch":
|
| 871 |
-
"grad_norm":
|
| 872 |
-
"learning_rate": 6.
|
| 873 |
-
"loss": 0.
|
| 874 |
"step": 1120
|
| 875 |
},
|
| 876 |
{
|
| 877 |
"epoch": 10.0,
|
| 878 |
-
"
|
| 879 |
-
"
|
| 880 |
-
"
|
| 881 |
-
"
|
|
|
|
|
|
|
| 882 |
},
|
| 883 |
{
|
| 884 |
-
"epoch": 10.
|
| 885 |
-
"
|
| 886 |
-
"
|
| 887 |
-
"
|
| 888 |
-
"eval_samples_per_second": 40.631,
|
| 889 |
-
"eval_steps_per_second": 5.113,
|
| 890 |
"step": 1130
|
| 891 |
},
|
| 892 |
{
|
| 893 |
-
"epoch": 10.
|
| 894 |
-
"grad_norm":
|
| 895 |
-
"learning_rate": 6.
|
| 896 |
-
"loss": 0.
|
| 897 |
"step": 1140
|
| 898 |
},
|
| 899 |
{
|
| 900 |
-
"epoch": 10.
|
| 901 |
-
"grad_norm":
|
| 902 |
-
"learning_rate": 6.
|
| 903 |
-
"loss": 0.
|
| 904 |
"step": 1150
|
| 905 |
},
|
| 906 |
{
|
| 907 |
-
"epoch": 10.
|
| 908 |
-
"grad_norm":
|
| 909 |
-
"learning_rate": 6.
|
| 910 |
-
"loss": 0.
|
| 911 |
"step": 1160
|
| 912 |
},
|
| 913 |
{
|
| 914 |
-
"epoch": 10.
|
| 915 |
-
"grad_norm":
|
| 916 |
-
"learning_rate": 6.
|
| 917 |
-
"loss": 0.
|
| 918 |
"step": 1170
|
| 919 |
},
|
| 920 |
{
|
| 921 |
-
"epoch": 10.
|
| 922 |
-
"grad_norm":
|
| 923 |
-
"learning_rate": 6.
|
| 924 |
-
"loss": 0.
|
| 925 |
"step": 1180
|
| 926 |
},
|
| 927 |
{
|
| 928 |
-
"epoch": 10.
|
| 929 |
-
"grad_norm":
|
| 930 |
-
"learning_rate": 6.
|
| 931 |
-
"loss": 0.
|
| 932 |
"step": 1190
|
| 933 |
},
|
| 934 |
{
|
| 935 |
-
"epoch": 10.
|
| 936 |
-
"grad_norm":
|
| 937 |
-
"learning_rate": 6.
|
| 938 |
-
"loss": 0.
|
| 939 |
"step": 1200
|
| 940 |
},
|
| 941 |
{
|
| 942 |
-
"epoch": 10.
|
| 943 |
-
"grad_norm":
|
| 944 |
-
"learning_rate": 6.
|
| 945 |
-
"loss": 0.
|
| 946 |
"step": 1210
|
| 947 |
},
|
| 948 |
{
|
| 949 |
-
"epoch": 10.
|
| 950 |
-
"grad_norm":
|
| 951 |
-
"learning_rate": 6.
|
| 952 |
-
"loss": 0.
|
| 953 |
"step": 1220
|
| 954 |
},
|
| 955 |
{
|
| 956 |
-
"epoch": 10.
|
| 957 |
-
"grad_norm":
|
| 958 |
-
"learning_rate": 6.
|
| 959 |
-
"loss": 0.
|
| 960 |
"step": 1230
|
| 961 |
},
|
| 962 |
{
|
| 963 |
-
"epoch":
|
| 964 |
-
"
|
| 965 |
-
"
|
| 966 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 967 |
"step": 1240
|
| 968 |
},
|
| 969 |
{
|
| 970 |
-
"epoch": 11.
|
| 971 |
-
"
|
| 972 |
-
"
|
| 973 |
-
"
|
| 974 |
-
"eval_samples_per_second": 41.11,
|
| 975 |
-
"eval_steps_per_second": 5.173,
|
| 976 |
-
"step": 1243
|
| 977 |
-
},
|
| 978 |
-
{
|
| 979 |
-
"epoch": 11.062360801781738,
|
| 980 |
-
"grad_norm": 45.25354766845703,
|
| 981 |
-
"learning_rate": 6.150793650793651e-06,
|
| 982 |
-
"loss": 0.6691,
|
| 983 |
"step": 1250
|
| 984 |
},
|
| 985 |
{
|
| 986 |
-
"epoch": 11.
|
| 987 |
-
"grad_norm":
|
| 988 |
-
"learning_rate": 6.
|
| 989 |
-
"loss": 0.
|
| 990 |
"step": 1260
|
| 991 |
},
|
| 992 |
{
|
| 993 |
-
"epoch": 11.
|
| 994 |
-
"grad_norm":
|
| 995 |
-
"learning_rate": 6.
|
| 996 |
-
"loss": 0.
|
| 997 |
"step": 1270
|
| 998 |
},
|
| 999 |
{
|
| 1000 |
-
"epoch": 11.
|
| 1001 |
-
"grad_norm":
|
| 1002 |
-
"learning_rate": 6.
|
| 1003 |
-
"loss": 0.
|
| 1004 |
"step": 1280
|
| 1005 |
},
|
| 1006 |
{
|
| 1007 |
-
"epoch": 11.
|
| 1008 |
-
"grad_norm":
|
| 1009 |
-
"learning_rate": 5.
|
| 1010 |
-
"loss": 0.
|
| 1011 |
"step": 1290
|
| 1012 |
},
|
| 1013 |
{
|
| 1014 |
-
"epoch": 11.
|
| 1015 |
-
"grad_norm":
|
| 1016 |
-
"learning_rate": 5.
|
| 1017 |
-
"loss": 0.
|
| 1018 |
"step": 1300
|
| 1019 |
},
|
| 1020 |
{
|
| 1021 |
-
"epoch": 11.
|
| 1022 |
-
"grad_norm":
|
| 1023 |
-
"learning_rate": 5.
|
| 1024 |
-
"loss": 0.
|
| 1025 |
"step": 1310
|
| 1026 |
},
|
| 1027 |
{
|
| 1028 |
-
"epoch": 11.
|
| 1029 |
-
"grad_norm":
|
| 1030 |
-
"learning_rate": 5.
|
| 1031 |
-
"loss": 0.
|
| 1032 |
"step": 1320
|
| 1033 |
},
|
| 1034 |
{
|
| 1035 |
-
"epoch": 11.
|
| 1036 |
-
"grad_norm":
|
| 1037 |
-
"learning_rate": 5.
|
| 1038 |
-
"loss": 0.
|
| 1039 |
"step": 1330
|
| 1040 |
},
|
| 1041 |
{
|
| 1042 |
-
"epoch": 11.
|
| 1043 |
-
"grad_norm":
|
| 1044 |
-
"learning_rate": 5.
|
| 1045 |
-
"loss": 0.
|
| 1046 |
"step": 1340
|
| 1047 |
},
|
| 1048 |
{
|
| 1049 |
-
"epoch":
|
| 1050 |
-
"
|
| 1051 |
-
"
|
| 1052 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1053 |
"step": 1350
|
| 1054 |
},
|
| 1055 |
{
|
| 1056 |
-
"epoch": 12.
|
| 1057 |
-
"
|
| 1058 |
-
"
|
| 1059 |
-
"
|
| 1060 |
-
"eval_samples_per_second": 41.009,
|
| 1061 |
-
"eval_steps_per_second": 5.16,
|
| 1062 |
-
"step": 1356
|
| 1063 |
-
},
|
| 1064 |
-
{
|
| 1065 |
-
"epoch": 12.035634743875278,
|
| 1066 |
-
"grad_norm": 42.24013900756836,
|
| 1067 |
-
"learning_rate": 5.7142857142857145e-06,
|
| 1068 |
-
"loss": 0.2802,
|
| 1069 |
"step": 1360
|
| 1070 |
},
|
| 1071 |
{
|
| 1072 |
-
"epoch": 12.
|
| 1073 |
-
"grad_norm":
|
| 1074 |
-
"learning_rate": 5.
|
| 1075 |
-
"loss": 0.
|
| 1076 |
"step": 1370
|
| 1077 |
},
|
| 1078 |
{
|
| 1079 |
-
"epoch": 12.
|
| 1080 |
-
"grad_norm":
|
| 1081 |
-
"learning_rate": 5.
|
| 1082 |
-
"loss": 0.
|
| 1083 |
"step": 1380
|
| 1084 |
},
|
| 1085 |
{
|
| 1086 |
-
"epoch": 12.
|
| 1087 |
-
"grad_norm":
|
| 1088 |
-
"learning_rate": 5.
|
| 1089 |
-
"loss": 0.
|
| 1090 |
"step": 1390
|
| 1091 |
},
|
| 1092 |
{
|
| 1093 |
-
"epoch": 12.
|
| 1094 |
-
"grad_norm":
|
| 1095 |
-
"learning_rate": 5.
|
| 1096 |
-
"loss": 0.
|
| 1097 |
"step": 1400
|
| 1098 |
},
|
| 1099 |
{
|
| 1100 |
-
"epoch": 12.
|
| 1101 |
-
"grad_norm":
|
| 1102 |
-
"learning_rate": 5.
|
| 1103 |
-
"loss": 0.
|
| 1104 |
"step": 1410
|
| 1105 |
},
|
| 1106 |
{
|
| 1107 |
-
"epoch": 12.
|
| 1108 |
-
"grad_norm":
|
| 1109 |
-
"learning_rate": 5.
|
| 1110 |
-
"loss": 0.
|
| 1111 |
"step": 1420
|
| 1112 |
},
|
| 1113 |
{
|
| 1114 |
-
"epoch": 12.
|
| 1115 |
-
"grad_norm":
|
| 1116 |
-
"learning_rate": 5.
|
| 1117 |
-
"loss": 0.
|
| 1118 |
"step": 1430
|
| 1119 |
},
|
| 1120 |
{
|
| 1121 |
-
"epoch": 12.
|
| 1122 |
-
"grad_norm":
|
| 1123 |
-
"learning_rate": 5.
|
| 1124 |
-
"loss": 0.
|
| 1125 |
"step": 1440
|
| 1126 |
},
|
| 1127 |
{
|
| 1128 |
-
"epoch": 12.
|
| 1129 |
-
"grad_norm":
|
| 1130 |
-
"learning_rate": 5.
|
| 1131 |
-
"loss": 0.
|
| 1132 |
"step": 1450
|
| 1133 |
},
|
| 1134 |
{
|
| 1135 |
-
"epoch":
|
| 1136 |
-
"
|
| 1137 |
-
"
|
| 1138 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1139 |
"step": 1460
|
| 1140 |
},
|
| 1141 |
{
|
| 1142 |
-
"epoch": 13.
|
| 1143 |
-
"
|
| 1144 |
-
"
|
| 1145 |
-
"
|
| 1146 |
-
"eval_samples_per_second": 40.759,
|
| 1147 |
-
"eval_steps_per_second": 5.129,
|
| 1148 |
-
"step": 1469
|
| 1149 |
-
},
|
| 1150 |
-
{
|
| 1151 |
-
"epoch": 13.00890868596882,
|
| 1152 |
-
"grad_norm": 23.018239974975586,
|
| 1153 |
-
"learning_rate": 5.2777777777777785e-06,
|
| 1154 |
-
"loss": 0.4031,
|
| 1155 |
"step": 1470
|
| 1156 |
},
|
| 1157 |
{
|
| 1158 |
-
"epoch": 13.
|
| 1159 |
-
"grad_norm":
|
| 1160 |
-
"learning_rate": 5.
|
| 1161 |
-
"loss": 0.
|
| 1162 |
"step": 1480
|
| 1163 |
},
|
| 1164 |
{
|
| 1165 |
-
"epoch": 13.
|
| 1166 |
-
"grad_norm":
|
| 1167 |
-
"learning_rate": 5.
|
| 1168 |
-
"loss": 0.
|
| 1169 |
"step": 1490
|
| 1170 |
},
|
| 1171 |
{
|
| 1172 |
-
"epoch": 13.
|
| 1173 |
-
"grad_norm":
|
| 1174 |
-
"learning_rate": 5.
|
| 1175 |
-
"loss": 0.
|
| 1176 |
"step": 1500
|
| 1177 |
},
|
| 1178 |
{
|
| 1179 |
-
"epoch": 13.
|
| 1180 |
-
"grad_norm":
|
| 1181 |
-
"learning_rate": 5.
|
| 1182 |
-
"loss": 0.
|
| 1183 |
"step": 1510
|
| 1184 |
},
|
| 1185 |
{
|
| 1186 |
-
"epoch": 13.
|
| 1187 |
-
"grad_norm":
|
| 1188 |
-
"learning_rate": 5.
|
| 1189 |
-
"loss": 0.
|
| 1190 |
"step": 1520
|
| 1191 |
},
|
| 1192 |
{
|
| 1193 |
-
"epoch": 13.
|
| 1194 |
-
"grad_norm":
|
| 1195 |
-
"learning_rate": 5.
|
| 1196 |
-
"loss": 0.
|
| 1197 |
"step": 1530
|
| 1198 |
},
|
| 1199 |
{
|
| 1200 |
-
"epoch": 13.
|
| 1201 |
-
"grad_norm":
|
| 1202 |
-
"learning_rate":
|
| 1203 |
-
"loss": 0.
|
| 1204 |
"step": 1540
|
| 1205 |
},
|
| 1206 |
{
|
| 1207 |
-
"epoch": 13.
|
| 1208 |
-
"grad_norm":
|
| 1209 |
-
"learning_rate": 4.
|
| 1210 |
-
"loss": 0.
|
| 1211 |
"step": 1550
|
| 1212 |
},
|
| 1213 |
{
|
| 1214 |
-
"epoch": 13.
|
| 1215 |
-
"grad_norm":
|
| 1216 |
-
"learning_rate": 4.
|
| 1217 |
-
"loss": 0.
|
| 1218 |
"step": 1560
|
| 1219 |
},
|
| 1220 |
{
|
| 1221 |
-
"epoch":
|
| 1222 |
-
"
|
| 1223 |
-
"
|
| 1224 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1225 |
"step": 1570
|
| 1226 |
},
|
| 1227 |
{
|
| 1228 |
-
"epoch":
|
| 1229 |
-
"grad_norm":
|
| 1230 |
-
"learning_rate": 4.
|
| 1231 |
-
"loss": 0.
|
| 1232 |
"step": 1580
|
| 1233 |
},
|
| 1234 |
{
|
| 1235 |
-
"epoch": 14.
|
| 1236 |
-
"
|
| 1237 |
-
"
|
| 1238 |
-
"
|
| 1239 |
-
"eval_samples_per_second": 40.487,
|
| 1240 |
-
"eval_steps_per_second": 5.095,
|
| 1241 |
-
"step": 1582
|
| 1242 |
-
},
|
| 1243 |
-
{
|
| 1244 |
-
"epoch": 14.071269487750557,
|
| 1245 |
-
"grad_norm": 54.113372802734375,
|
| 1246 |
-
"learning_rate": 4.8015873015873025e-06,
|
| 1247 |
-
"loss": 0.553,
|
| 1248 |
"step": 1590
|
| 1249 |
},
|
| 1250 |
{
|
| 1251 |
-
"epoch": 14.
|
| 1252 |
-
"grad_norm":
|
| 1253 |
-
"learning_rate": 4.
|
| 1254 |
-
"loss": 0.
|
| 1255 |
"step": 1600
|
| 1256 |
},
|
| 1257 |
{
|
| 1258 |
-
"epoch": 14.
|
| 1259 |
-
"grad_norm":
|
| 1260 |
-
"learning_rate": 4.
|
| 1261 |
-
"loss": 0.
|
| 1262 |
"step": 1610
|
| 1263 |
},
|
| 1264 |
{
|
| 1265 |
-
"epoch": 14.
|
| 1266 |
-
"grad_norm":
|
| 1267 |
-
"learning_rate": 4.
|
| 1268 |
-
"loss": 0.
|
| 1269 |
"step": 1620
|
| 1270 |
},
|
| 1271 |
{
|
| 1272 |
-
"epoch": 14.
|
| 1273 |
-
"grad_norm":
|
| 1274 |
-
"learning_rate": 4.
|
| 1275 |
-
"loss": 0.
|
| 1276 |
"step": 1630
|
| 1277 |
},
|
| 1278 |
{
|
| 1279 |
-
"epoch": 14.
|
| 1280 |
-
"grad_norm":
|
| 1281 |
-
"learning_rate": 4.
|
| 1282 |
-
"loss": 0.
|
| 1283 |
"step": 1640
|
| 1284 |
},
|
| 1285 |
{
|
| 1286 |
-
"epoch": 14.
|
| 1287 |
-
"grad_norm":
|
| 1288 |
-
"learning_rate": 4.
|
| 1289 |
-
"loss": 0.
|
| 1290 |
"step": 1650
|
| 1291 |
},
|
| 1292 |
{
|
| 1293 |
-
"epoch": 14.
|
| 1294 |
-
"grad_norm":
|
| 1295 |
-
"learning_rate": 4.
|
| 1296 |
-
"loss": 0.
|
| 1297 |
"step": 1660
|
| 1298 |
},
|
| 1299 |
{
|
| 1300 |
-
"epoch": 14.
|
| 1301 |
-
"grad_norm":
|
| 1302 |
-
"learning_rate": 4.
|
| 1303 |
-
"loss": 0.
|
| 1304 |
"step": 1670
|
| 1305 |
},
|
| 1306 |
{
|
| 1307 |
-
"epoch":
|
| 1308 |
-
"grad_norm":
|
| 1309 |
-
"learning_rate": 4.
|
| 1310 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1311 |
"step": 1680
|
| 1312 |
},
|
| 1313 |
{
|
| 1314 |
-
"epoch":
|
| 1315 |
-
"grad_norm": 18.
|
| 1316 |
-
"learning_rate": 4.
|
| 1317 |
-
"loss": 0.
|
| 1318 |
"step": 1690
|
| 1319 |
},
|
| 1320 |
{
|
| 1321 |
-
"epoch": 15.
|
| 1322 |
-
"
|
| 1323 |
-
"
|
| 1324 |
-
"
|
| 1325 |
-
"eval_samples_per_second": 40.374,
|
| 1326 |
-
"eval_steps_per_second": 5.081,
|
| 1327 |
-
"step": 1695
|
| 1328 |
-
},
|
| 1329 |
-
{
|
| 1330 |
-
"epoch": 15.044543429844097,
|
| 1331 |
-
"grad_norm": 11.731039047241211,
|
| 1332 |
-
"learning_rate": 4.365079365079366e-06,
|
| 1333 |
-
"loss": 0.239,
|
| 1334 |
"step": 1700
|
| 1335 |
},
|
| 1336 |
{
|
| 1337 |
-
"epoch": 15.
|
| 1338 |
-
"grad_norm":
|
| 1339 |
-
"learning_rate": 4.
|
| 1340 |
-
"loss": 0.
|
| 1341 |
"step": 1710
|
| 1342 |
},
|
| 1343 |
{
|
| 1344 |
-
"epoch": 15.
|
| 1345 |
-
"grad_norm":
|
| 1346 |
-
"learning_rate": 4.
|
| 1347 |
-
"loss": 0.
|
| 1348 |
"step": 1720
|
| 1349 |
},
|
| 1350 |
{
|
| 1351 |
-
"epoch": 15.
|
| 1352 |
-
"grad_norm":
|
| 1353 |
-
"learning_rate": 4.
|
| 1354 |
-
"loss": 0.
|
| 1355 |
"step": 1730
|
| 1356 |
},
|
| 1357 |
{
|
| 1358 |
-
"epoch": 15.
|
| 1359 |
-
"grad_norm":
|
| 1360 |
-
"learning_rate": 4.
|
| 1361 |
-
"loss": 0.
|
| 1362 |
"step": 1740
|
| 1363 |
},
|
| 1364 |
{
|
| 1365 |
-
"epoch": 15.
|
| 1366 |
-
"grad_norm":
|
| 1367 |
-
"learning_rate": 4.
|
| 1368 |
-
"loss": 0.
|
| 1369 |
"step": 1750
|
| 1370 |
},
|
| 1371 |
{
|
| 1372 |
-
"epoch": 15.
|
| 1373 |
-
"grad_norm":
|
| 1374 |
-
"learning_rate": 4.
|
| 1375 |
-
"loss": 0.
|
| 1376 |
"step": 1760
|
| 1377 |
},
|
| 1378 |
{
|
| 1379 |
-
"epoch": 15.
|
| 1380 |
-
"grad_norm":
|
| 1381 |
-
"learning_rate": 4.
|
| 1382 |
-
"loss": 0.
|
| 1383 |
"step": 1770
|
| 1384 |
},
|
| 1385 |
{
|
| 1386 |
-
"epoch": 15.
|
| 1387 |
-
"grad_norm":
|
| 1388 |
-
"learning_rate": 4.
|
| 1389 |
-
"loss": 0.
|
| 1390 |
"step": 1780
|
| 1391 |
},
|
| 1392 |
{
|
| 1393 |
-
"epoch": 15.
|
| 1394 |
-
"grad_norm":
|
| 1395 |
-
"learning_rate": 4.
|
| 1396 |
-
"loss": 0.
|
| 1397 |
"step": 1790
|
| 1398 |
},
|
| 1399 |
{
|
| 1400 |
-
"epoch":
|
| 1401 |
-
"
|
| 1402 |
-
"
|
| 1403 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1404 |
"step": 1800
|
| 1405 |
},
|
| 1406 |
{
|
| 1407 |
-
"epoch": 16.
|
| 1408 |
-
"
|
| 1409 |
-
"
|
| 1410 |
-
"
|
| 1411 |
-
"eval_samples_per_second": 40.75,
|
| 1412 |
-
"eval_steps_per_second": 5.128,
|
| 1413 |
-
"step": 1808
|
| 1414 |
-
},
|
| 1415 |
-
{
|
| 1416 |
-
"epoch": 16.01781737193764,
|
| 1417 |
-
"grad_norm": 32.96919250488281,
|
| 1418 |
-
"learning_rate": 3.928571428571429e-06,
|
| 1419 |
-
"loss": 0.1912,
|
| 1420 |
"step": 1810
|
| 1421 |
},
|
| 1422 |
{
|
| 1423 |
-
"epoch": 16.
|
| 1424 |
-
"grad_norm":
|
| 1425 |
-
"learning_rate": 3.
|
| 1426 |
-
"loss": 0.
|
| 1427 |
"step": 1820
|
| 1428 |
},
|
| 1429 |
{
|
| 1430 |
-
"epoch": 16.
|
| 1431 |
-
"grad_norm":
|
| 1432 |
-
"learning_rate": 3.
|
| 1433 |
-
"loss": 0.
|
| 1434 |
"step": 1830
|
| 1435 |
},
|
| 1436 |
{
|
| 1437 |
-
"epoch": 16.
|
| 1438 |
-
"grad_norm":
|
| 1439 |
-
"learning_rate": 3.
|
| 1440 |
-
"loss": 0.
|
| 1441 |
"step": 1840
|
| 1442 |
},
|
| 1443 |
{
|
| 1444 |
-
"epoch": 16.
|
| 1445 |
-
"grad_norm":
|
| 1446 |
-
"learning_rate": 3.
|
| 1447 |
-
"loss": 0.
|
| 1448 |
"step": 1850
|
| 1449 |
},
|
| 1450 |
{
|
| 1451 |
-
"epoch": 16.
|
| 1452 |
-
"grad_norm":
|
| 1453 |
-
"learning_rate": 3.
|
| 1454 |
-
"loss": 0.
|
| 1455 |
"step": 1860
|
| 1456 |
},
|
| 1457 |
{
|
| 1458 |
-
"epoch": 16.
|
| 1459 |
-
"grad_norm":
|
| 1460 |
-
"learning_rate": 3.
|
| 1461 |
-
"loss": 0.
|
| 1462 |
"step": 1870
|
| 1463 |
},
|
| 1464 |
{
|
| 1465 |
-
"epoch": 16.
|
| 1466 |
-
"grad_norm":
|
| 1467 |
-
"learning_rate": 3.
|
| 1468 |
-
"loss": 0.
|
| 1469 |
"step": 1880
|
| 1470 |
},
|
| 1471 |
{
|
| 1472 |
-
"epoch": 16.
|
| 1473 |
-
"grad_norm":
|
| 1474 |
-
"learning_rate": 3.
|
| 1475 |
-
"loss": 0.
|
| 1476 |
"step": 1890
|
| 1477 |
},
|
| 1478 |
{
|
| 1479 |
-
"epoch": 16.
|
| 1480 |
-
"grad_norm":
|
| 1481 |
-
"learning_rate": 3.
|
| 1482 |
-
"loss": 0.
|
| 1483 |
"step": 1900
|
| 1484 |
},
|
| 1485 |
{
|
| 1486 |
-
"epoch":
|
| 1487 |
-
"
|
| 1488 |
-
"
|
| 1489 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1490 |
"step": 1910
|
| 1491 |
},
|
| 1492 |
{
|
| 1493 |
-
"epoch":
|
| 1494 |
-
"grad_norm":
|
| 1495 |
-
"learning_rate": 3.
|
| 1496 |
-
"loss": 0.
|
| 1497 |
"step": 1920
|
| 1498 |
},
|
| 1499 |
{
|
| 1500 |
-
"epoch": 17.
|
| 1501 |
-
"
|
| 1502 |
-
"
|
| 1503 |
-
"
|
| 1504 |
-
"eval_samples_per_second": 41.28,
|
| 1505 |
-
"eval_steps_per_second": 5.195,
|
| 1506 |
-
"step": 1921
|
| 1507 |
-
},
|
| 1508 |
-
{
|
| 1509 |
-
"epoch": 17.080178173719375,
|
| 1510 |
-
"grad_norm": 14.766924858093262,
|
| 1511 |
-
"learning_rate": 3.4523809523809528e-06,
|
| 1512 |
-
"loss": 0.3372,
|
| 1513 |
"step": 1930
|
| 1514 |
},
|
| 1515 |
{
|
| 1516 |
-
"epoch": 17.
|
| 1517 |
-
"grad_norm":
|
| 1518 |
-
"learning_rate": 3.
|
| 1519 |
-
"loss": 0.
|
| 1520 |
"step": 1940
|
| 1521 |
},
|
| 1522 |
{
|
| 1523 |
-
"epoch": 17.
|
| 1524 |
-
"grad_norm":
|
| 1525 |
-
"learning_rate": 3.
|
| 1526 |
-
"loss": 0.
|
| 1527 |
"step": 1950
|
| 1528 |
},
|
| 1529 |
{
|
| 1530 |
-
"epoch": 17.
|
| 1531 |
-
"grad_norm":
|
| 1532 |
-
"learning_rate": 3.
|
| 1533 |
-
"loss": 0.
|
| 1534 |
"step": 1960
|
| 1535 |
},
|
| 1536 |
{
|
| 1537 |
-
"epoch": 17.
|
| 1538 |
-
"grad_norm":
|
| 1539 |
-
"learning_rate": 3.
|
| 1540 |
-
"loss": 0.
|
| 1541 |
"step": 1970
|
| 1542 |
},
|
| 1543 |
{
|
| 1544 |
-
"epoch": 17.
|
| 1545 |
-
"grad_norm":
|
| 1546 |
-
"learning_rate": 3.
|
| 1547 |
-
"loss": 0.
|
| 1548 |
"step": 1980
|
| 1549 |
},
|
| 1550 |
{
|
| 1551 |
-
"epoch": 17.
|
| 1552 |
-
"grad_norm":
|
| 1553 |
-
"learning_rate": 3.
|
| 1554 |
-
"loss": 0.
|
| 1555 |
"step": 1990
|
| 1556 |
},
|
| 1557 |
{
|
| 1558 |
-
"epoch": 17.
|
| 1559 |
-
"grad_norm":
|
| 1560 |
-
"learning_rate": 3.
|
| 1561 |
-
"loss": 0.
|
| 1562 |
"step": 2000
|
| 1563 |
},
|
| 1564 |
{
|
| 1565 |
-
"epoch": 17.
|
| 1566 |
-
"grad_norm":
|
| 1567 |
-
"learning_rate": 3.
|
| 1568 |
-
"loss": 0.
|
| 1569 |
"step": 2010
|
| 1570 |
},
|
| 1571 |
{
|
| 1572 |
-
"epoch":
|
| 1573 |
-
"
|
| 1574 |
-
"
|
| 1575 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1576 |
"step": 2020
|
| 1577 |
},
|
| 1578 |
{
|
| 1579 |
-
"epoch":
|
| 1580 |
-
"grad_norm":
|
| 1581 |
-
"learning_rate": 3.
|
| 1582 |
-
"loss": 0.
|
| 1583 |
"step": 2030
|
| 1584 |
},
|
| 1585 |
{
|
| 1586 |
-
"epoch": 18.
|
| 1587 |
-
"
|
| 1588 |
-
"
|
| 1589 |
-
"
|
| 1590 |
-
"eval_samples_per_second": 40.42,
|
| 1591 |
-
"eval_steps_per_second": 5.086,
|
| 1592 |
-
"step": 2034
|
| 1593 |
-
},
|
| 1594 |
-
{
|
| 1595 |
-
"epoch": 18.053452115812917,
|
| 1596 |
-
"grad_norm": 36.161376953125,
|
| 1597 |
-
"learning_rate": 3.015873015873016e-06,
|
| 1598 |
-
"loss": 0.2413,
|
| 1599 |
"step": 2040
|
| 1600 |
},
|
| 1601 |
{
|
| 1602 |
-
"epoch": 18.
|
| 1603 |
-
"grad_norm":
|
| 1604 |
-
"learning_rate": 2.
|
| 1605 |
-
"loss": 0.
|
| 1606 |
"step": 2050
|
| 1607 |
},
|
| 1608 |
{
|
| 1609 |
-
"epoch": 18.
|
| 1610 |
-
"grad_norm":
|
| 1611 |
-
"learning_rate": 2.
|
| 1612 |
-
"loss": 0.
|
| 1613 |
"step": 2060
|
| 1614 |
},
|
| 1615 |
{
|
| 1616 |
-
"epoch": 18.
|
| 1617 |
-
"grad_norm":
|
| 1618 |
-
"learning_rate": 2.
|
| 1619 |
-
"loss": 0.
|
| 1620 |
"step": 2070
|
| 1621 |
},
|
| 1622 |
{
|
| 1623 |
-
"epoch": 18.
|
| 1624 |
-
"grad_norm":
|
| 1625 |
-
"learning_rate": 2.
|
| 1626 |
-
"loss": 0.
|
| 1627 |
"step": 2080
|
| 1628 |
},
|
| 1629 |
{
|
| 1630 |
-
"epoch": 18.
|
| 1631 |
-
"grad_norm":
|
| 1632 |
-
"learning_rate": 2.
|
| 1633 |
-
"loss": 0.
|
| 1634 |
"step": 2090
|
| 1635 |
},
|
| 1636 |
{
|
| 1637 |
-
"epoch": 18.
|
| 1638 |
-
"grad_norm":
|
| 1639 |
-
"learning_rate": 2.
|
| 1640 |
-
"loss": 0.
|
| 1641 |
"step": 2100
|
| 1642 |
},
|
| 1643 |
{
|
| 1644 |
-
"epoch": 18.
|
| 1645 |
-
"grad_norm":
|
| 1646 |
-
"learning_rate": 2.
|
| 1647 |
-
"loss": 0.
|
| 1648 |
"step": 2110
|
| 1649 |
},
|
| 1650 |
{
|
| 1651 |
-
"epoch": 18.
|
| 1652 |
-
"grad_norm":
|
| 1653 |
-
"learning_rate": 2.
|
| 1654 |
-
"loss": 0.
|
| 1655 |
"step": 2120
|
| 1656 |
},
|
| 1657 |
{
|
| 1658 |
-
"epoch":
|
| 1659 |
-
"
|
| 1660 |
-
"
|
| 1661 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1662 |
"step": 2130
|
| 1663 |
},
|
| 1664 |
{
|
| 1665 |
-
"epoch":
|
| 1666 |
-
"grad_norm":
|
| 1667 |
-
"learning_rate": 2.
|
| 1668 |
-
"loss": 0.
|
| 1669 |
"step": 2140
|
| 1670 |
},
|
| 1671 |
{
|
| 1672 |
-
"epoch": 19.
|
| 1673 |
-
"
|
| 1674 |
-
"
|
| 1675 |
-
"
|
| 1676 |
-
"eval_samples_per_second": 38.157,
|
| 1677 |
-
"eval_steps_per_second": 4.801,
|
| 1678 |
-
"step": 2147
|
| 1679 |
-
},
|
| 1680 |
-
{
|
| 1681 |
-
"epoch": 19.02672605790646,
|
| 1682 |
-
"grad_norm": 6.988764762878418,
|
| 1683 |
-
"learning_rate": 2.57936507936508e-06,
|
| 1684 |
-
"loss": 0.2748,
|
| 1685 |
"step": 2150
|
| 1686 |
},
|
| 1687 |
{
|
| 1688 |
-
"epoch": 19.
|
| 1689 |
-
"grad_norm":
|
| 1690 |
-
"learning_rate": 2.
|
| 1691 |
-
"loss": 0.
|
| 1692 |
"step": 2160
|
| 1693 |
},
|
| 1694 |
{
|
| 1695 |
-
"epoch": 19.
|
| 1696 |
-
"grad_norm":
|
| 1697 |
-
"learning_rate": 2.
|
| 1698 |
-
"loss": 0.
|
| 1699 |
"step": 2170
|
| 1700 |
},
|
| 1701 |
{
|
| 1702 |
-
"epoch": 19.
|
| 1703 |
-
"grad_norm":
|
| 1704 |
-
"learning_rate": 2.
|
| 1705 |
-
"loss": 0.
|
| 1706 |
"step": 2180
|
| 1707 |
},
|
| 1708 |
{
|
| 1709 |
-
"epoch": 19.
|
| 1710 |
-
"grad_norm":
|
| 1711 |
-
"learning_rate": 2.
|
| 1712 |
-
"loss": 0.
|
| 1713 |
"step": 2190
|
| 1714 |
},
|
| 1715 |
{
|
| 1716 |
-
"epoch": 19.
|
| 1717 |
-
"grad_norm":
|
| 1718 |
-
"learning_rate": 2.
|
| 1719 |
-
"loss": 0.
|
| 1720 |
"step": 2200
|
| 1721 |
},
|
| 1722 |
{
|
| 1723 |
-
"epoch": 19.
|
| 1724 |
-
"grad_norm":
|
| 1725 |
-
"learning_rate": 2.
|
| 1726 |
-
"loss": 0.
|
| 1727 |
"step": 2210
|
| 1728 |
},
|
| 1729 |
{
|
| 1730 |
-
"epoch": 19.
|
| 1731 |
-
"grad_norm":
|
| 1732 |
-
"learning_rate": 2.
|
| 1733 |
-
"loss": 0.
|
| 1734 |
"step": 2220
|
| 1735 |
},
|
| 1736 |
{
|
| 1737 |
-
"epoch": 19.
|
| 1738 |
-
"grad_norm":
|
| 1739 |
-
"learning_rate": 2.
|
| 1740 |
-
"loss": 0.
|
| 1741 |
"step": 2230
|
| 1742 |
},
|
| 1743 |
{
|
| 1744 |
-
"epoch":
|
| 1745 |
-
"grad_norm":
|
| 1746 |
-
"learning_rate": 2.
|
| 1747 |
-
"loss": 0.
|
| 1748 |
"step": 2240
|
| 1749 |
},
|
| 1750 |
{
|
| 1751 |
-
"epoch":
|
| 1752 |
-
"
|
| 1753 |
-
"
|
| 1754 |
-
"
|
| 1755 |
-
"
|
|
|
|
|
|
|
| 1756 |
},
|
| 1757 |
{
|
| 1758 |
-
"epoch": 20.
|
| 1759 |
-
"grad_norm":
|
| 1760 |
-
"learning_rate": 2.
|
| 1761 |
-
"loss": 0.
|
| 1762 |
-
"step":
|
| 1763 |
},
|
| 1764 |
{
|
| 1765 |
-
"epoch": 20.
|
| 1766 |
-
"
|
| 1767 |
-
"
|
| 1768 |
-
"
|
| 1769 |
-
"eval_samples_per_second": 39.852,
|
| 1770 |
-
"eval_steps_per_second": 5.015,
|
| 1771 |
"step": 2260
|
| 1772 |
},
|
| 1773 |
{
|
| 1774 |
-
"epoch": 20.
|
| 1775 |
-
"grad_norm":
|
| 1776 |
-
"learning_rate": 2.
|
| 1777 |
-
"loss": 0.
|
| 1778 |
"step": 2270
|
| 1779 |
},
|
| 1780 |
{
|
| 1781 |
-
"epoch": 20.
|
| 1782 |
-
"grad_norm":
|
| 1783 |
-
"learning_rate": 2.
|
| 1784 |
-
"loss": 0.
|
| 1785 |
"step": 2280
|
| 1786 |
},
|
| 1787 |
{
|
| 1788 |
-
"epoch": 20.
|
| 1789 |
-
"grad_norm":
|
| 1790 |
-
"learning_rate": 2.
|
| 1791 |
-
"loss": 0.
|
| 1792 |
"step": 2290
|
| 1793 |
},
|
| 1794 |
{
|
| 1795 |
-
"epoch": 20.
|
| 1796 |
-
"grad_norm":
|
| 1797 |
-
"learning_rate": 1.
|
| 1798 |
-
"loss": 0.
|
| 1799 |
"step": 2300
|
| 1800 |
},
|
| 1801 |
{
|
| 1802 |
-
"epoch": 20.
|
| 1803 |
-
"grad_norm":
|
| 1804 |
-
"learning_rate": 1.
|
| 1805 |
-
"loss": 0.
|
| 1806 |
"step": 2310
|
| 1807 |
},
|
| 1808 |
{
|
| 1809 |
-
"epoch": 20.
|
| 1810 |
-
"grad_norm":
|
| 1811 |
-
"learning_rate": 1.
|
| 1812 |
-
"loss": 0.
|
| 1813 |
"step": 2320
|
| 1814 |
},
|
| 1815 |
{
|
| 1816 |
-
"epoch": 20.
|
| 1817 |
-
"grad_norm":
|
| 1818 |
-
"learning_rate": 1.
|
| 1819 |
-
"loss": 0.
|
| 1820 |
"step": 2330
|
| 1821 |
},
|
| 1822 |
{
|
| 1823 |
-
"epoch": 20.
|
| 1824 |
-
"grad_norm":
|
| 1825 |
-
"learning_rate": 1.
|
| 1826 |
-
"loss": 0.
|
| 1827 |
"step": 2340
|
| 1828 |
},
|
| 1829 |
{
|
| 1830 |
-
"epoch": 20.
|
| 1831 |
-
"grad_norm":
|
| 1832 |
-
"learning_rate": 1.
|
| 1833 |
-
"loss": 0.
|
| 1834 |
"step": 2350
|
| 1835 |
},
|
| 1836 |
{
|
| 1837 |
-
"epoch":
|
| 1838 |
-
"
|
| 1839 |
-
"
|
| 1840 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1841 |
"step": 2360
|
| 1842 |
},
|
| 1843 |
{
|
| 1844 |
-
"epoch":
|
| 1845 |
-
"grad_norm":
|
| 1846 |
-
"learning_rate": 1.
|
| 1847 |
-
"loss": 0.
|
| 1848 |
"step": 2370
|
| 1849 |
},
|
| 1850 |
{
|
| 1851 |
-
"epoch": 21.
|
| 1852 |
-
"
|
| 1853 |
-
"
|
| 1854 |
-
"
|
| 1855 |
-
"eval_samples_per_second": 41.566,
|
| 1856 |
-
"eval_steps_per_second": 5.23,
|
| 1857 |
-
"step": 2373
|
| 1858 |
-
},
|
| 1859 |
-
{
|
| 1860 |
-
"epoch": 21.062360801781736,
|
| 1861 |
-
"grad_norm": 3.4698734283447266,
|
| 1862 |
-
"learning_rate": 1.6666666666666667e-06,
|
| 1863 |
-
"loss": 0.0825,
|
| 1864 |
"step": 2380
|
| 1865 |
},
|
| 1866 |
{
|
| 1867 |
-
"epoch": 21.
|
| 1868 |
-
"grad_norm":
|
| 1869 |
-
"learning_rate": 1.
|
| 1870 |
-
"loss": 0.
|
| 1871 |
"step": 2390
|
| 1872 |
},
|
| 1873 |
{
|
| 1874 |
-
"epoch": 21.
|
| 1875 |
-
"grad_norm":
|
| 1876 |
-
"learning_rate": 1.
|
| 1877 |
-
"loss": 0.
|
| 1878 |
"step": 2400
|
| 1879 |
},
|
| 1880 |
{
|
| 1881 |
-
"epoch": 21.
|
| 1882 |
-
"grad_norm":
|
| 1883 |
-
"learning_rate": 1.
|
| 1884 |
-
"loss": 0.
|
| 1885 |
"step": 2410
|
| 1886 |
},
|
| 1887 |
{
|
| 1888 |
-
"epoch": 21.
|
| 1889 |
-
"grad_norm":
|
| 1890 |
-
"learning_rate": 1.
|
| 1891 |
-
"loss": 0.
|
| 1892 |
"step": 2420
|
| 1893 |
},
|
| 1894 |
{
|
| 1895 |
-
"epoch": 21.
|
| 1896 |
-
"grad_norm":
|
| 1897 |
-
"learning_rate": 1.
|
| 1898 |
-
"loss": 0.
|
| 1899 |
"step": 2430
|
| 1900 |
},
|
| 1901 |
{
|
| 1902 |
-
"epoch": 21.
|
| 1903 |
-
"grad_norm":
|
| 1904 |
-
"learning_rate": 1.
|
| 1905 |
-
"loss": 0.
|
| 1906 |
"step": 2440
|
| 1907 |
},
|
| 1908 |
{
|
| 1909 |
-
"epoch": 21.
|
| 1910 |
-
"grad_norm":
|
| 1911 |
-
"learning_rate": 1.
|
| 1912 |
-
"loss": 0.
|
| 1913 |
"step": 2450
|
| 1914 |
},
|
| 1915 |
{
|
| 1916 |
-
"epoch": 21.
|
| 1917 |
-
"grad_norm":
|
| 1918 |
-
"learning_rate": 1.
|
| 1919 |
-
"loss": 0.
|
| 1920 |
"step": 2460
|
| 1921 |
},
|
| 1922 |
-
{
|
| 1923 |
-
"epoch": 21.8641425389755,
|
| 1924 |
-
"grad_norm": 32.367698669433594,
|
| 1925 |
-
"learning_rate": 1.3095238095238096e-06,
|
| 1926 |
-
"loss": 0.3898,
|
| 1927 |
-
"step": 2470
|
| 1928 |
-
},
|
| 1929 |
-
{
|
| 1930 |
-
"epoch": 21.953229398663698,
|
| 1931 |
-
"grad_norm": 62.534358978271484,
|
| 1932 |
-
"learning_rate": 1.26984126984127e-06,
|
| 1933 |
-
"loss": 0.3501,
|
| 1934 |
-
"step": 2480
|
| 1935 |
-
},
|
| 1936 |
{
|
| 1937 |
"epoch": 22.0,
|
| 1938 |
-
"eval_loss":
|
| 1939 |
-
"eval_macro_f1": 0.
|
| 1940 |
-
"eval_runtime":
|
| 1941 |
-
"eval_samples_per_second":
|
| 1942 |
-
"eval_steps_per_second":
|
| 1943 |
-
"step":
|
| 1944 |
-
},
|
| 1945 |
-
{
|
| 1946 |
-
"epoch": 22.035634743875278,
|
| 1947 |
-
"grad_norm": 69.29458618164062,
|
| 1948 |
-
"learning_rate": 1.2301587301587303e-06,
|
| 1949 |
-
"loss": 0.2882,
|
| 1950 |
-
"step": 2490
|
| 1951 |
-
},
|
| 1952 |
-
{
|
| 1953 |
-
"epoch": 22.124721603563476,
|
| 1954 |
-
"grad_norm": 89.39969635009766,
|
| 1955 |
-
"learning_rate": 1.1904761904761906e-06,
|
| 1956 |
-
"loss": 0.2838,
|
| 1957 |
-
"step": 2500
|
| 1958 |
-
},
|
| 1959 |
-
{
|
| 1960 |
-
"epoch": 22.21380846325167,
|
| 1961 |
-
"grad_norm": 356.38787841796875,
|
| 1962 |
-
"learning_rate": 1.150793650793651e-06,
|
| 1963 |
-
"loss": 0.2001,
|
| 1964 |
-
"step": 2510
|
| 1965 |
-
},
|
| 1966 |
-
{
|
| 1967 |
-
"epoch": 22.302895322939868,
|
| 1968 |
-
"grad_norm": 4.26671028137207,
|
| 1969 |
-
"learning_rate": 1.111111111111111e-06,
|
| 1970 |
-
"loss": 0.1658,
|
| 1971 |
-
"step": 2520
|
| 1972 |
-
},
|
| 1973 |
-
{
|
| 1974 |
-
"epoch": 22.391982182628063,
|
| 1975 |
-
"grad_norm": 70.33140563964844,
|
| 1976 |
-
"learning_rate": 1.0714285714285714e-06,
|
| 1977 |
-
"loss": 0.2195,
|
| 1978 |
-
"step": 2530
|
| 1979 |
-
},
|
| 1980 |
-
{
|
| 1981 |
-
"epoch": 22.481069042316257,
|
| 1982 |
-
"grad_norm": 57.502559661865234,
|
| 1983 |
-
"learning_rate": 1.0317460317460317e-06,
|
| 1984 |
-
"loss": 0.1085,
|
| 1985 |
-
"step": 2540
|
| 1986 |
-
},
|
| 1987 |
-
{
|
| 1988 |
-
"epoch": 22.570155902004455,
|
| 1989 |
-
"grad_norm": 76.61205291748047,
|
| 1990 |
-
"learning_rate": 9.92063492063492e-07,
|
| 1991 |
-
"loss": 0.1872,
|
| 1992 |
-
"step": 2550
|
| 1993 |
-
},
|
| 1994 |
-
{
|
| 1995 |
-
"epoch": 22.65924276169265,
|
| 1996 |
-
"grad_norm": 72.69236755371094,
|
| 1997 |
-
"learning_rate": 9.523809523809525e-07,
|
| 1998 |
-
"loss": 0.2837,
|
| 1999 |
-
"step": 2560
|
| 2000 |
-
},
|
| 2001 |
-
{
|
| 2002 |
-
"epoch": 22.748329621380847,
|
| 2003 |
-
"grad_norm": 112.57559967041016,
|
| 2004 |
-
"learning_rate": 9.126984126984127e-07,
|
| 2005 |
-
"loss": 0.4063,
|
| 2006 |
-
"step": 2570
|
| 2007 |
-
},
|
| 2008 |
-
{
|
| 2009 |
-
"epoch": 22.83741648106904,
|
| 2010 |
-
"grad_norm": 102.09916687011719,
|
| 2011 |
-
"learning_rate": 8.73015873015873e-07,
|
| 2012 |
-
"loss": 0.3085,
|
| 2013 |
-
"step": 2580
|
| 2014 |
-
},
|
| 2015 |
-
{
|
| 2016 |
-
"epoch": 22.92650334075724,
|
| 2017 |
-
"grad_norm": 4.140219211578369,
|
| 2018 |
-
"learning_rate": 8.333333333333333e-07,
|
| 2019 |
-
"loss": 0.0432,
|
| 2020 |
-
"step": 2590
|
| 2021 |
-
},
|
| 2022 |
-
{
|
| 2023 |
-
"epoch": 23.0,
|
| 2024 |
-
"eval_loss": 0.9713873863220215,
|
| 2025 |
-
"eval_macro_f1": 0.7901658291457286,
|
| 2026 |
-
"eval_runtime": 21.8489,
|
| 2027 |
-
"eval_samples_per_second": 41.1,
|
| 2028 |
-
"eval_steps_per_second": 5.172,
|
| 2029 |
-
"step": 2599
|
| 2030 |
-
},
|
| 2031 |
-
{
|
| 2032 |
-
"epoch": 23.00890868596882,
|
| 2033 |
-
"grad_norm": 81.31112670898438,
|
| 2034 |
-
"learning_rate": 7.936507936507937e-07,
|
| 2035 |
-
"loss": 0.2301,
|
| 2036 |
-
"step": 2600
|
| 2037 |
-
},
|
| 2038 |
-
{
|
| 2039 |
-
"epoch": 23.097995545657014,
|
| 2040 |
-
"grad_norm": 133.33106994628906,
|
| 2041 |
-
"learning_rate": 7.53968253968254e-07,
|
| 2042 |
-
"loss": 0.3902,
|
| 2043 |
-
"step": 2610
|
| 2044 |
-
},
|
| 2045 |
-
{
|
| 2046 |
-
"epoch": 23.187082405345212,
|
| 2047 |
-
"grad_norm": 75.14102935791016,
|
| 2048 |
-
"learning_rate": 7.142857142857143e-07,
|
| 2049 |
-
"loss": 0.4124,
|
| 2050 |
-
"step": 2620
|
| 2051 |
-
},
|
| 2052 |
-
{
|
| 2053 |
-
"epoch": 23.276169265033406,
|
| 2054 |
-
"grad_norm": 56.319427490234375,
|
| 2055 |
-
"learning_rate": 6.746031746031746e-07,
|
| 2056 |
-
"loss": 0.2647,
|
| 2057 |
-
"step": 2630
|
| 2058 |
-
},
|
| 2059 |
-
{
|
| 2060 |
-
"epoch": 23.365256124721604,
|
| 2061 |
-
"grad_norm": 0.3156695067882538,
|
| 2062 |
-
"learning_rate": 6.34920634920635e-07,
|
| 2063 |
-
"loss": 0.2229,
|
| 2064 |
-
"step": 2640
|
| 2065 |
-
},
|
| 2066 |
-
{
|
| 2067 |
-
"epoch": 23.4543429844098,
|
| 2068 |
-
"grad_norm": 0.1939859390258789,
|
| 2069 |
-
"learning_rate": 5.952380952380953e-07,
|
| 2070 |
-
"loss": 0.11,
|
| 2071 |
-
"step": 2650
|
| 2072 |
-
},
|
| 2073 |
-
{
|
| 2074 |
-
"epoch": 23.543429844097997,
|
| 2075 |
-
"grad_norm": 27.532583236694336,
|
| 2076 |
-
"learning_rate": 5.555555555555555e-07,
|
| 2077 |
-
"loss": 0.269,
|
| 2078 |
-
"step": 2660
|
| 2079 |
-
},
|
| 2080 |
-
{
|
| 2081 |
-
"epoch": 23.63251670378619,
|
| 2082 |
-
"grad_norm": 5.016575336456299,
|
| 2083 |
-
"learning_rate": 5.158730158730158e-07,
|
| 2084 |
-
"loss": 0.2089,
|
| 2085 |
-
"step": 2670
|
| 2086 |
-
},
|
| 2087 |
-
{
|
| 2088 |
-
"epoch": 23.72160356347439,
|
| 2089 |
-
"grad_norm": 82.43734741210938,
|
| 2090 |
-
"learning_rate": 4.7619047619047623e-07,
|
| 2091 |
-
"loss": 0.3519,
|
| 2092 |
-
"step": 2680
|
| 2093 |
-
},
|
| 2094 |
-
{
|
| 2095 |
-
"epoch": 23.810690423162583,
|
| 2096 |
-
"grad_norm": 12.222328186035156,
|
| 2097 |
-
"learning_rate": 4.365079365079365e-07,
|
| 2098 |
-
"loss": 0.2363,
|
| 2099 |
-
"step": 2690
|
| 2100 |
-
},
|
| 2101 |
-
{
|
| 2102 |
-
"epoch": 23.899777282850778,
|
| 2103 |
-
"grad_norm": 56.74919509887695,
|
| 2104 |
-
"learning_rate": 3.9682539682539683e-07,
|
| 2105 |
-
"loss": 0.0908,
|
| 2106 |
-
"step": 2700
|
| 2107 |
-
},
|
| 2108 |
-
{
|
| 2109 |
-
"epoch": 23.988864142538976,
|
| 2110 |
-
"grad_norm": 77.4910659790039,
|
| 2111 |
-
"learning_rate": 3.5714285714285716e-07,
|
| 2112 |
-
"loss": 0.3777,
|
| 2113 |
-
"step": 2710
|
| 2114 |
-
},
|
| 2115 |
-
{
|
| 2116 |
-
"epoch": 24.0,
|
| 2117 |
-
"eval_loss": 0.9040295481681824,
|
| 2118 |
-
"eval_macro_f1": 0.7973446094765495,
|
| 2119 |
-
"eval_runtime": 21.8468,
|
| 2120 |
-
"eval_samples_per_second": 41.104,
|
| 2121 |
-
"eval_steps_per_second": 5.172,
|
| 2122 |
-
"step": 2712
|
| 2123 |
-
},
|
| 2124 |
-
{
|
| 2125 |
-
"epoch": 24.071269487750556,
|
| 2126 |
-
"grad_norm": 23.00518798828125,
|
| 2127 |
-
"learning_rate": 3.174603174603175e-07,
|
| 2128 |
-
"loss": 0.1797,
|
| 2129 |
-
"step": 2720
|
| 2130 |
-
},
|
| 2131 |
-
{
|
| 2132 |
-
"epoch": 24.160356347438753,
|
| 2133 |
-
"grad_norm": 81.12632751464844,
|
| 2134 |
-
"learning_rate": 2.7777777777777776e-07,
|
| 2135 |
-
"loss": 0.2499,
|
| 2136 |
-
"step": 2730
|
| 2137 |
-
},
|
| 2138 |
-
{
|
| 2139 |
-
"epoch": 24.249443207126948,
|
| 2140 |
-
"grad_norm": 124.60951232910156,
|
| 2141 |
-
"learning_rate": 2.3809523809523811e-07,
|
| 2142 |
-
"loss": 0.2462,
|
| 2143 |
-
"step": 2740
|
| 2144 |
-
},
|
| 2145 |
-
{
|
| 2146 |
-
"epoch": 24.338530066815146,
|
| 2147 |
-
"grad_norm": 90.49283599853516,
|
| 2148 |
-
"learning_rate": 1.9841269841269841e-07,
|
| 2149 |
-
"loss": 0.3619,
|
| 2150 |
-
"step": 2750
|
| 2151 |
-
},
|
| 2152 |
-
{
|
| 2153 |
-
"epoch": 24.42761692650334,
|
| 2154 |
-
"grad_norm": 4.63253927230835,
|
| 2155 |
-
"learning_rate": 1.5873015873015874e-07,
|
| 2156 |
-
"loss": 0.2901,
|
| 2157 |
-
"step": 2760
|
| 2158 |
-
},
|
| 2159 |
-
{
|
| 2160 |
-
"epoch": 24.51670378619154,
|
| 2161 |
-
"grad_norm": 8.05462646484375,
|
| 2162 |
-
"learning_rate": 1.1904761904761906e-07,
|
| 2163 |
-
"loss": 0.1431,
|
| 2164 |
-
"step": 2770
|
| 2165 |
-
},
|
| 2166 |
-
{
|
| 2167 |
-
"epoch": 24.605790645879733,
|
| 2168 |
-
"grad_norm": 10.225213050842285,
|
| 2169 |
-
"learning_rate": 7.936507936507937e-08,
|
| 2170 |
-
"loss": 0.1209,
|
| 2171 |
-
"step": 2780
|
| 2172 |
-
},
|
| 2173 |
-
{
|
| 2174 |
-
"epoch": 24.694877505567927,
|
| 2175 |
-
"grad_norm": 23.83371925354004,
|
| 2176 |
-
"learning_rate": 3.9682539682539686e-08,
|
| 2177 |
-
"loss": 0.2688,
|
| 2178 |
-
"step": 2790
|
| 2179 |
-
},
|
| 2180 |
-
{
|
| 2181 |
-
"epoch": 24.783964365256125,
|
| 2182 |
-
"grad_norm": 0.8638786673545837,
|
| 2183 |
-
"learning_rate": 0.0,
|
| 2184 |
-
"loss": 0.1488,
|
| 2185 |
-
"step": 2800
|
| 2186 |
-
},
|
| 2187 |
-
{
|
| 2188 |
-
"epoch": 24.783964365256125,
|
| 2189 |
-
"eval_loss": 0.9561133980751038,
|
| 2190 |
-
"eval_macro_f1": 0.8017572519758047,
|
| 2191 |
-
"eval_runtime": 22.04,
|
| 2192 |
-
"eval_samples_per_second": 40.744,
|
| 2193 |
-
"eval_steps_per_second": 5.127,
|
| 2194 |
-
"step": 2800
|
| 2195 |
}
|
| 2196 |
],
|
| 2197 |
"logging_steps": 10,
|
|
@@ -2206,12 +1942,12 @@
|
|
| 2206 |
"should_evaluate": false,
|
| 2207 |
"should_log": false,
|
| 2208 |
"should_save": true,
|
| 2209 |
-
"should_training_stop":
|
| 2210 |
},
|
| 2211 |
"attributes": {}
|
| 2212 |
}
|
| 2213 |
},
|
| 2214 |
-
"total_flos":
|
| 2215 |
"train_batch_size": 8,
|
| 2216 |
"trial_name": null,
|
| 2217 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_global_step": 2464,
|
| 3 |
+
"best_metric": 0.7966146756469337,
|
| 4 |
+
"best_model_checkpoint": "Obstacle/dinov2/checkpoint-2464",
|
| 5 |
+
"epoch": 22.0,
|
| 6 |
"eval_steps": 500,
|
| 7 |
+
"global_step": 2464,
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
| 11 |
"log_history": [
|
| 12 |
{
|
| 13 |
+
"epoch": 0.0894854586129754,
|
| 14 |
+
"grad_norm": 68.26221466064453,
|
| 15 |
+
"learning_rate": 3.214285714285714e-07,
|
| 16 |
+
"loss": 0.9281,
|
| 17 |
"step": 10
|
| 18 |
},
|
| 19 |
{
|
| 20 |
+
"epoch": 0.1789709172259508,
|
| 21 |
+
"grad_norm": 49.921424865722656,
|
| 22 |
+
"learning_rate": 6.785714285714286e-07,
|
| 23 |
+
"loss": 0.8782,
|
| 24 |
"step": 20
|
| 25 |
},
|
| 26 |
{
|
| 27 |
+
"epoch": 0.2684563758389262,
|
| 28 |
+
"grad_norm": 63.9870491027832,
|
| 29 |
+
"learning_rate": 1.0357142857142859e-06,
|
| 30 |
+
"loss": 0.769,
|
| 31 |
"step": 30
|
| 32 |
},
|
| 33 |
{
|
| 34 |
+
"epoch": 0.3579418344519016,
|
| 35 |
+
"grad_norm": 27.94622230529785,
|
| 36 |
+
"learning_rate": 1.392857142857143e-06,
|
| 37 |
+
"loss": 0.7484,
|
| 38 |
"step": 40
|
| 39 |
},
|
| 40 |
{
|
| 41 |
+
"epoch": 0.44742729306487694,
|
| 42 |
+
"grad_norm": 31.261272430419922,
|
| 43 |
+
"learning_rate": 1.75e-06,
|
| 44 |
+
"loss": 0.7224,
|
| 45 |
"step": 50
|
| 46 |
},
|
| 47 |
{
|
| 48 |
+
"epoch": 0.5369127516778524,
|
| 49 |
+
"grad_norm": 30.373384475708008,
|
| 50 |
+
"learning_rate": 2.1071428571428572e-06,
|
| 51 |
+
"loss": 0.6935,
|
| 52 |
"step": 60
|
| 53 |
},
|
| 54 |
{
|
| 55 |
+
"epoch": 0.6263982102908278,
|
| 56 |
+
"grad_norm": 25.922801971435547,
|
| 57 |
+
"learning_rate": 2.4642857142857147e-06,
|
| 58 |
+
"loss": 0.656,
|
| 59 |
"step": 70
|
| 60 |
},
|
| 61 |
{
|
| 62 |
+
"epoch": 0.7158836689038032,
|
| 63 |
+
"grad_norm": 21.445323944091797,
|
| 64 |
+
"learning_rate": 2.8214285714285718e-06,
|
| 65 |
+
"loss": 0.6086,
|
| 66 |
"step": 80
|
| 67 |
},
|
| 68 |
{
|
| 69 |
+
"epoch": 0.8053691275167785,
|
| 70 |
+
"grad_norm": 47.42407989501953,
|
| 71 |
+
"learning_rate": 3.178571428571429e-06,
|
| 72 |
+
"loss": 0.7216,
|
| 73 |
"step": 90
|
| 74 |
},
|
| 75 |
{
|
| 76 |
+
"epoch": 0.8948545861297539,
|
| 77 |
+
"grad_norm": 23.003158569335938,
|
| 78 |
+
"learning_rate": 3.5357142857142863e-06,
|
| 79 |
+
"loss": 0.6132,
|
| 80 |
"step": 100
|
| 81 |
},
|
| 82 |
{
|
| 83 |
+
"epoch": 0.9843400447427293,
|
| 84 |
+
"grad_norm": 31.152210235595703,
|
| 85 |
+
"learning_rate": 3.892857142857143e-06,
|
| 86 |
+
"loss": 0.6263,
|
| 87 |
"step": 110
|
| 88 |
},
|
| 89 |
{
|
| 90 |
"epoch": 1.0,
|
| 91 |
+
"eval_loss": 0.572486162185669,
|
| 92 |
+
"eval_macro_f1": 0.6811600432857552,
|
| 93 |
+
"eval_runtime": 118.5033,
|
| 94 |
+
"eval_samples_per_second": 6.456,
|
| 95 |
+
"eval_steps_per_second": 0.81,
|
| 96 |
+
"step": 112
|
| 97 |
+
},
|
| 98 |
+
{
|
| 99 |
+
"epoch": 1.0715883668903803,
|
| 100 |
+
"grad_norm": 19.629968643188477,
|
| 101 |
+
"learning_rate": 4.25e-06,
|
| 102 |
+
"loss": 0.5971,
|
| 103 |
"step": 120
|
| 104 |
},
|
| 105 |
{
|
| 106 |
+
"epoch": 1.1610738255033557,
|
| 107 |
+
"grad_norm": 38.47784423828125,
|
| 108 |
+
"learning_rate": 4.6071428571428574e-06,
|
| 109 |
+
"loss": 0.5379,
|
| 110 |
"step": 130
|
| 111 |
},
|
| 112 |
{
|
| 113 |
+
"epoch": 1.250559284116331,
|
| 114 |
+
"grad_norm": 24.479284286499023,
|
| 115 |
+
"learning_rate": 4.964285714285715e-06,
|
| 116 |
+
"loss": 0.529,
|
| 117 |
"step": 140
|
| 118 |
},
|
| 119 |
{
|
| 120 |
+
"epoch": 1.3400447427293065,
|
| 121 |
+
"grad_norm": 20.997512817382812,
|
| 122 |
+
"learning_rate": 5.3214285714285715e-06,
|
| 123 |
+
"loss": 0.6006,
|
| 124 |
"step": 150
|
| 125 |
},
|
| 126 |
{
|
| 127 |
+
"epoch": 1.429530201342282,
|
| 128 |
+
"grad_norm": 52.60095977783203,
|
| 129 |
+
"learning_rate": 5.678571428571429e-06,
|
| 130 |
+
"loss": 0.7468,
|
| 131 |
"step": 160
|
| 132 |
},
|
| 133 |
{
|
| 134 |
+
"epoch": 1.5190156599552571,
|
| 135 |
+
"grad_norm": 15.642265319824219,
|
| 136 |
+
"learning_rate": 6.035714285714286e-06,
|
| 137 |
+
"loss": 0.559,
|
| 138 |
"step": 170
|
| 139 |
},
|
| 140 |
{
|
| 141 |
+
"epoch": 1.6085011185682325,
|
| 142 |
+
"grad_norm": 70.16302490234375,
|
| 143 |
+
"learning_rate": 6.392857142857143e-06,
|
| 144 |
+
"loss": 0.6043,
|
| 145 |
"step": 180
|
| 146 |
},
|
| 147 |
{
|
| 148 |
+
"epoch": 1.697986577181208,
|
| 149 |
+
"grad_norm": 26.643476486206055,
|
| 150 |
+
"learning_rate": 6.750000000000001e-06,
|
| 151 |
+
"loss": 0.5636,
|
| 152 |
"step": 190
|
| 153 |
},
|
| 154 |
{
|
| 155 |
+
"epoch": 1.7874720357941833,
|
| 156 |
+
"grad_norm": 177.88034057617188,
|
| 157 |
+
"learning_rate": 7.107142857142858e-06,
|
| 158 |
+
"loss": 0.5427,
|
| 159 |
"step": 200
|
| 160 |
},
|
| 161 |
{
|
| 162 |
+
"epoch": 1.8769574944071588,
|
| 163 |
+
"grad_norm": 38.7111701965332,
|
| 164 |
+
"learning_rate": 7.464285714285715e-06,
|
| 165 |
+
"loss": 0.5486,
|
| 166 |
"step": 210
|
| 167 |
},
|
| 168 |
{
|
| 169 |
+
"epoch": 1.9664429530201342,
|
| 170 |
+
"grad_norm": 21.803434371948242,
|
| 171 |
+
"learning_rate": 7.821428571428571e-06,
|
| 172 |
+
"loss": 0.609,
|
| 173 |
"step": 220
|
| 174 |
},
|
| 175 |
{
|
| 176 |
"epoch": 2.0,
|
| 177 |
+
"eval_loss": 0.5907321572303772,
|
| 178 |
+
"eval_macro_f1": 0.7001507404932478,
|
| 179 |
+
"eval_runtime": 121.4035,
|
| 180 |
+
"eval_samples_per_second": 6.301,
|
| 181 |
+
"eval_steps_per_second": 0.791,
|
| 182 |
+
"step": 224
|
| 183 |
+
},
|
| 184 |
+
{
|
| 185 |
+
"epoch": 2.053691275167785,
|
| 186 |
+
"grad_norm": 23.68389320373535,
|
| 187 |
+
"learning_rate": 8.17857142857143e-06,
|
| 188 |
+
"loss": 0.4989,
|
| 189 |
"step": 230
|
| 190 |
},
|
| 191 |
{
|
| 192 |
+
"epoch": 2.1431767337807606,
|
| 193 |
+
"grad_norm": 26.48926544189453,
|
| 194 |
+
"learning_rate": 8.535714285714286e-06,
|
| 195 |
+
"loss": 0.5119,
|
| 196 |
"step": 240
|
| 197 |
},
|
| 198 |
{
|
| 199 |
+
"epoch": 2.232662192393736,
|
| 200 |
+
"grad_norm": 25.900455474853516,
|
| 201 |
+
"learning_rate": 8.892857142857143e-06,
|
| 202 |
+
"loss": 0.5046,
|
| 203 |
"step": 250
|
| 204 |
},
|
| 205 |
{
|
| 206 |
+
"epoch": 2.3221476510067114,
|
| 207 |
+
"grad_norm": 26.200103759765625,
|
| 208 |
+
"learning_rate": 9.250000000000001e-06,
|
| 209 |
+
"loss": 0.4793,
|
| 210 |
"step": 260
|
| 211 |
},
|
| 212 |
{
|
| 213 |
+
"epoch": 2.411633109619687,
|
| 214 |
+
"grad_norm": 36.33053970336914,
|
| 215 |
+
"learning_rate": 9.607142857142858e-06,
|
| 216 |
+
"loss": 0.5127,
|
| 217 |
"step": 270
|
| 218 |
},
|
| 219 |
{
|
| 220 |
+
"epoch": 2.501118568232662,
|
| 221 |
+
"grad_norm": 51.3528938293457,
|
| 222 |
+
"learning_rate": 9.964285714285714e-06,
|
| 223 |
+
"loss": 0.5188,
|
| 224 |
"step": 280
|
| 225 |
},
|
| 226 |
{
|
| 227 |
+
"epoch": 2.5906040268456376,
|
| 228 |
+
"grad_norm": 28.10676383972168,
|
| 229 |
+
"learning_rate": 9.964285714285714e-06,
|
| 230 |
+
"loss": 0.4858,
|
| 231 |
"step": 290
|
| 232 |
},
|
| 233 |
{
|
| 234 |
+
"epoch": 2.680089485458613,
|
| 235 |
+
"grad_norm": 25.275537490844727,
|
| 236 |
+
"learning_rate": 9.924603174603175e-06,
|
| 237 |
+
"loss": 0.497,
|
| 238 |
"step": 300
|
| 239 |
},
|
| 240 |
{
|
| 241 |
+
"epoch": 2.7695749440715884,
|
| 242 |
+
"grad_norm": 23.899168014526367,
|
| 243 |
+
"learning_rate": 9.884920634920636e-06,
|
| 244 |
+
"loss": 0.4843,
|
| 245 |
"step": 310
|
| 246 |
},
|
| 247 |
{
|
| 248 |
+
"epoch": 2.859060402684564,
|
| 249 |
+
"grad_norm": 21.87393569946289,
|
| 250 |
+
"learning_rate": 9.845238095238097e-06,
|
| 251 |
+
"loss": 0.5006,
|
| 252 |
"step": 320
|
| 253 |
},
|
| 254 |
{
|
| 255 |
+
"epoch": 2.9485458612975393,
|
| 256 |
+
"grad_norm": 27.74087905883789,
|
| 257 |
+
"learning_rate": 9.805555555555556e-06,
|
| 258 |
+
"loss": 0.4471,
|
| 259 |
"step": 330
|
| 260 |
},
|
| 261 |
{
|
| 262 |
"epoch": 3.0,
|
| 263 |
+
"eval_loss": 0.5459941029548645,
|
| 264 |
+
"eval_macro_f1": 0.726109493936894,
|
| 265 |
+
"eval_runtime": 121.5217,
|
| 266 |
+
"eval_samples_per_second": 6.295,
|
| 267 |
+
"eval_steps_per_second": 0.79,
|
| 268 |
+
"step": 336
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 3.0357941834451903,
|
| 272 |
+
"grad_norm": 41.323997497558594,
|
| 273 |
+
"learning_rate": 9.765873015873017e-06,
|
| 274 |
+
"loss": 0.5304,
|
| 275 |
"step": 340
|
| 276 |
},
|
| 277 |
{
|
| 278 |
+
"epoch": 3.1252796420581657,
|
| 279 |
+
"grad_norm": 31.197467803955078,
|
| 280 |
+
"learning_rate": 9.726190476190477e-06,
|
| 281 |
+
"loss": 0.4863,
|
| 282 |
"step": 350
|
| 283 |
},
|
| 284 |
{
|
| 285 |
+
"epoch": 3.214765100671141,
|
| 286 |
+
"grad_norm": 15.407756805419922,
|
| 287 |
+
"learning_rate": 9.686507936507938e-06,
|
| 288 |
+
"loss": 0.4116,
|
| 289 |
"step": 360
|
| 290 |
},
|
| 291 |
{
|
| 292 |
+
"epoch": 3.3042505592841165,
|
| 293 |
+
"grad_norm": 19.091278076171875,
|
| 294 |
+
"learning_rate": 9.646825396825397e-06,
|
| 295 |
+
"loss": 0.4092,
|
| 296 |
"step": 370
|
| 297 |
},
|
| 298 |
{
|
| 299 |
+
"epoch": 3.393736017897092,
|
| 300 |
+
"grad_norm": 42.068511962890625,
|
| 301 |
+
"learning_rate": 9.607142857142858e-06,
|
| 302 |
+
"loss": 0.4627,
|
| 303 |
"step": 380
|
| 304 |
},
|
| 305 |
{
|
| 306 |
+
"epoch": 3.4832214765100673,
|
| 307 |
+
"grad_norm": 26.687232971191406,
|
| 308 |
+
"learning_rate": 9.567460317460319e-06,
|
| 309 |
+
"loss": 0.4487,
|
| 310 |
"step": 390
|
| 311 |
},
|
| 312 |
{
|
| 313 |
+
"epoch": 3.5727069351230423,
|
| 314 |
+
"grad_norm": 22.164098739624023,
|
| 315 |
+
"learning_rate": 9.527777777777778e-06,
|
| 316 |
+
"loss": 0.48,
|
| 317 |
"step": 400
|
| 318 |
},
|
| 319 |
{
|
| 320 |
+
"epoch": 3.662192393736018,
|
| 321 |
+
"grad_norm": 22.220373153686523,
|
| 322 |
+
"learning_rate": 9.488095238095238e-06,
|
| 323 |
+
"loss": 0.53,
|
| 324 |
"step": 410
|
| 325 |
},
|
| 326 |
{
|
| 327 |
+
"epoch": 3.751677852348993,
|
| 328 |
+
"grad_norm": 8.822561264038086,
|
| 329 |
+
"learning_rate": 9.4484126984127e-06,
|
| 330 |
+
"loss": 0.4999,
|
| 331 |
"step": 420
|
| 332 |
},
|
| 333 |
{
|
| 334 |
+
"epoch": 3.841163310961969,
|
| 335 |
+
"grad_norm": 11.927675247192383,
|
| 336 |
+
"learning_rate": 9.40873015873016e-06,
|
| 337 |
+
"loss": 0.4642,
|
| 338 |
"step": 430
|
| 339 |
},
|
| 340 |
{
|
| 341 |
+
"epoch": 3.930648769574944,
|
| 342 |
+
"grad_norm": 14.933186531066895,
|
| 343 |
+
"learning_rate": 9.36904761904762e-06,
|
| 344 |
+
"loss": 0.4145,
|
| 345 |
"step": 440
|
| 346 |
},
|
| 347 |
{
|
| 348 |
+
"epoch": 4.0,
|
| 349 |
+
"eval_loss": 0.5586118102073669,
|
| 350 |
+
"eval_macro_f1": 0.741893986276926,
|
| 351 |
+
"eval_runtime": 120.2217,
|
| 352 |
+
"eval_samples_per_second": 6.363,
|
| 353 |
+
"eval_steps_per_second": 0.799,
|
| 354 |
+
"step": 448
|
| 355 |
+
},
|
| 356 |
+
{
|
| 357 |
+
"epoch": 4.017897091722595,
|
| 358 |
+
"grad_norm": 23.335527420043945,
|
| 359 |
+
"learning_rate": 9.32936507936508e-06,
|
| 360 |
+
"loss": 0.4222,
|
| 361 |
"step": 450
|
| 362 |
},
|
| 363 |
{
|
| 364 |
+
"epoch": 4.10738255033557,
|
| 365 |
+
"grad_norm": 28.71408462524414,
|
| 366 |
+
"learning_rate": 9.28968253968254e-06,
|
| 367 |
+
"loss": 0.3959,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 368 |
"step": 460
|
| 369 |
},
|
| 370 |
{
|
| 371 |
+
"epoch": 4.196868008948546,
|
| 372 |
+
"grad_norm": 20.4088077545166,
|
| 373 |
+
"learning_rate": 9.250000000000001e-06,
|
| 374 |
+
"loss": 0.3423,
|
| 375 |
"step": 470
|
| 376 |
},
|
| 377 |
{
|
| 378 |
+
"epoch": 4.286353467561521,
|
| 379 |
+
"grad_norm": 39.36516189575195,
|
| 380 |
+
"learning_rate": 9.21031746031746e-06,
|
| 381 |
+
"loss": 0.3851,
|
| 382 |
"step": 480
|
| 383 |
},
|
| 384 |
{
|
| 385 |
+
"epoch": 4.375838926174497,
|
| 386 |
+
"grad_norm": 32.29376983642578,
|
| 387 |
+
"learning_rate": 9.170634920634921e-06,
|
| 388 |
+
"loss": 0.3766,
|
| 389 |
"step": 490
|
| 390 |
},
|
| 391 |
{
|
| 392 |
+
"epoch": 4.465324384787472,
|
| 393 |
+
"grad_norm": 13.637434959411621,
|
| 394 |
+
"learning_rate": 9.130952380952382e-06,
|
| 395 |
+
"loss": 0.3328,
|
| 396 |
"step": 500
|
| 397 |
},
|
| 398 |
{
|
| 399 |
+
"epoch": 4.554809843400448,
|
| 400 |
+
"grad_norm": 23.359638214111328,
|
| 401 |
+
"learning_rate": 9.091269841269843e-06,
|
| 402 |
+
"loss": 0.3988,
|
| 403 |
"step": 510
|
| 404 |
},
|
| 405 |
{
|
| 406 |
+
"epoch": 4.644295302013423,
|
| 407 |
+
"grad_norm": 25.244564056396484,
|
| 408 |
+
"learning_rate": 9.051587301587302e-06,
|
| 409 |
+
"loss": 0.3149,
|
| 410 |
"step": 520
|
| 411 |
},
|
| 412 |
{
|
| 413 |
+
"epoch": 4.733780760626399,
|
| 414 |
+
"grad_norm": 273.609619140625,
|
| 415 |
+
"learning_rate": 9.011904761904762e-06,
|
| 416 |
+
"loss": 0.3685,
|
| 417 |
"step": 530
|
| 418 |
},
|
| 419 |
{
|
| 420 |
+
"epoch": 4.823266219239374,
|
| 421 |
+
"grad_norm": 18.818504333496094,
|
| 422 |
+
"learning_rate": 8.972222222222223e-06,
|
| 423 |
+
"loss": 0.2867,
|
| 424 |
"step": 540
|
| 425 |
},
|
| 426 |
{
|
| 427 |
+
"epoch": 4.912751677852349,
|
| 428 |
+
"grad_norm": 19.458040237426758,
|
| 429 |
+
"learning_rate": 8.932539682539684e-06,
|
| 430 |
+
"loss": 0.3952,
|
| 431 |
"step": 550
|
| 432 |
},
|
| 433 |
{
|
| 434 |
+
"epoch": 5.0,
|
| 435 |
+
"grad_norm": 11.257533073425293,
|
| 436 |
+
"learning_rate": 8.892857142857143e-06,
|
| 437 |
+
"loss": 0.3553,
|
| 438 |
"step": 560
|
| 439 |
},
|
| 440 |
{
|
| 441 |
"epoch": 5.0,
|
| 442 |
+
"eval_loss": 0.5237393379211426,
|
| 443 |
+
"eval_macro_f1": 0.7685140098500236,
|
| 444 |
+
"eval_runtime": 124.8114,
|
| 445 |
+
"eval_samples_per_second": 6.129,
|
| 446 |
+
"eval_steps_per_second": 0.769,
|
| 447 |
+
"step": 560
|
| 448 |
+
},
|
| 449 |
+
{
|
| 450 |
+
"epoch": 5.089485458612975,
|
| 451 |
+
"grad_norm": 16.261404037475586,
|
| 452 |
+
"learning_rate": 8.853174603174604e-06,
|
| 453 |
+
"loss": 0.3108,
|
| 454 |
"step": 570
|
| 455 |
},
|
| 456 |
{
|
| 457 |
+
"epoch": 5.178970917225951,
|
| 458 |
+
"grad_norm": 16.059083938598633,
|
| 459 |
+
"learning_rate": 8.813492063492064e-06,
|
| 460 |
+
"loss": 0.2986,
|
| 461 |
"step": 580
|
| 462 |
},
|
| 463 |
{
|
| 464 |
+
"epoch": 5.268456375838926,
|
| 465 |
+
"grad_norm": 22.006534576416016,
|
| 466 |
+
"learning_rate": 8.773809523809525e-06,
|
| 467 |
+
"loss": 0.2952,
|
| 468 |
"step": 590
|
| 469 |
},
|
| 470 |
{
|
| 471 |
+
"epoch": 5.357941834451902,
|
| 472 |
+
"grad_norm": 16.75338363647461,
|
| 473 |
+
"learning_rate": 8.734126984126984e-06,
|
| 474 |
+
"loss": 0.2512,
|
| 475 |
"step": 600
|
| 476 |
},
|
| 477 |
{
|
| 478 |
+
"epoch": 5.447427293064877,
|
| 479 |
+
"grad_norm": 36.52522659301758,
|
| 480 |
+
"learning_rate": 8.694444444444445e-06,
|
| 481 |
+
"loss": 0.2308,
|
| 482 |
"step": 610
|
| 483 |
},
|
| 484 |
{
|
| 485 |
+
"epoch": 5.5369127516778525,
|
| 486 |
+
"grad_norm": 14.535757064819336,
|
| 487 |
+
"learning_rate": 8.654761904761906e-06,
|
| 488 |
+
"loss": 0.3012,
|
| 489 |
"step": 620
|
| 490 |
},
|
| 491 |
{
|
| 492 |
+
"epoch": 5.626398210290827,
|
| 493 |
+
"grad_norm": 22.867900848388672,
|
| 494 |
+
"learning_rate": 8.615079365079366e-06,
|
| 495 |
+
"loss": 0.3232,
|
| 496 |
"step": 630
|
| 497 |
},
|
| 498 |
{
|
| 499 |
+
"epoch": 5.715883668903803,
|
| 500 |
+
"grad_norm": 19.417451858520508,
|
| 501 |
+
"learning_rate": 8.575396825396826e-06,
|
| 502 |
+
"loss": 0.3173,
|
| 503 |
"step": 640
|
| 504 |
},
|
| 505 |
{
|
| 506 |
+
"epoch": 5.805369127516778,
|
| 507 |
+
"grad_norm": 21.25806427001953,
|
| 508 |
+
"learning_rate": 8.535714285714286e-06,
|
| 509 |
+
"loss": 0.3376,
|
| 510 |
"step": 650
|
| 511 |
},
|
| 512 |
{
|
| 513 |
+
"epoch": 5.894854586129754,
|
| 514 |
+
"grad_norm": 11.842672348022461,
|
| 515 |
+
"learning_rate": 8.496031746031747e-06,
|
| 516 |
+
"loss": 0.3756,
|
| 517 |
"step": 660
|
| 518 |
},
|
| 519 |
{
|
| 520 |
+
"epoch": 5.984340044742729,
|
| 521 |
+
"grad_norm": 16.4525203704834,
|
| 522 |
+
"learning_rate": 8.456349206349208e-06,
|
| 523 |
+
"loss": 0.2923,
|
| 524 |
"step": 670
|
| 525 |
},
|
| 526 |
{
|
| 527 |
"epoch": 6.0,
|
| 528 |
+
"eval_loss": 0.5606415271759033,
|
| 529 |
+
"eval_macro_f1": 0.7435031036046287,
|
| 530 |
+
"eval_runtime": 115.5398,
|
| 531 |
+
"eval_samples_per_second": 6.621,
|
| 532 |
+
"eval_steps_per_second": 0.831,
|
| 533 |
+
"step": 672
|
| 534 |
+
},
|
| 535 |
+
{
|
| 536 |
+
"epoch": 6.0715883668903805,
|
| 537 |
+
"grad_norm": 20.93574333190918,
|
| 538 |
+
"learning_rate": 8.416666666666667e-06,
|
| 539 |
+
"loss": 0.2473,
|
| 540 |
"step": 680
|
| 541 |
},
|
| 542 |
{
|
| 543 |
+
"epoch": 6.1610738255033555,
|
| 544 |
+
"grad_norm": 26.189205169677734,
|
| 545 |
+
"learning_rate": 8.376984126984128e-06,
|
| 546 |
+
"loss": 0.2403,
|
| 547 |
"step": 690
|
| 548 |
},
|
| 549 |
{
|
| 550 |
+
"epoch": 6.250559284116331,
|
| 551 |
+
"grad_norm": 13.84333610534668,
|
| 552 |
+
"learning_rate": 8.337301587301588e-06,
|
| 553 |
+
"loss": 0.231,
|
| 554 |
"step": 700
|
| 555 |
},
|
| 556 |
{
|
| 557 |
+
"epoch": 6.340044742729306,
|
| 558 |
+
"grad_norm": 22.295377731323242,
|
| 559 |
+
"learning_rate": 8.297619047619049e-06,
|
| 560 |
+
"loss": 0.2416,
|
| 561 |
"step": 710
|
| 562 |
},
|
| 563 |
{
|
| 564 |
+
"epoch": 6.429530201342282,
|
| 565 |
+
"grad_norm": 14.893708229064941,
|
| 566 |
+
"learning_rate": 8.257936507936508e-06,
|
| 567 |
+
"loss": 0.2409,
|
| 568 |
"step": 720
|
| 569 |
},
|
| 570 |
{
|
| 571 |
+
"epoch": 6.519015659955257,
|
| 572 |
+
"grad_norm": 14.828768730163574,
|
| 573 |
+
"learning_rate": 8.218253968253969e-06,
|
| 574 |
+
"loss": 0.1927,
|
| 575 |
"step": 730
|
| 576 |
},
|
| 577 |
{
|
| 578 |
+
"epoch": 6.608501118568233,
|
| 579 |
+
"grad_norm": 23.54037094116211,
|
| 580 |
+
"learning_rate": 8.17857142857143e-06,
|
| 581 |
+
"loss": 0.2373,
|
| 582 |
"step": 740
|
| 583 |
},
|
| 584 |
{
|
| 585 |
+
"epoch": 6.697986577181208,
|
| 586 |
+
"grad_norm": 20.361324310302734,
|
| 587 |
+
"learning_rate": 8.138888888888889e-06,
|
| 588 |
+
"loss": 0.2266,
|
| 589 |
"step": 750
|
| 590 |
},
|
| 591 |
{
|
| 592 |
+
"epoch": 6.787472035794184,
|
| 593 |
+
"grad_norm": 32.86820602416992,
|
| 594 |
+
"learning_rate": 8.09920634920635e-06,
|
| 595 |
+
"loss": 0.3065,
|
| 596 |
"step": 760
|
| 597 |
},
|
| 598 |
{
|
| 599 |
+
"epoch": 6.876957494407159,
|
| 600 |
+
"grad_norm": 25.08152198791504,
|
| 601 |
+
"learning_rate": 8.05952380952381e-06,
|
| 602 |
+
"loss": 0.307,
|
| 603 |
"step": 770
|
| 604 |
},
|
| 605 |
{
|
| 606 |
+
"epoch": 6.966442953020135,
|
| 607 |
+
"grad_norm": 21.257457733154297,
|
| 608 |
+
"learning_rate": 8.019841269841271e-06,
|
| 609 |
+
"loss": 0.2943,
|
| 610 |
"step": 780
|
| 611 |
},
|
| 612 |
{
|
| 613 |
+
"epoch": 7.0,
|
| 614 |
+
"eval_loss": 0.5504983067512512,
|
| 615 |
+
"eval_macro_f1": 0.7728941735285386,
|
| 616 |
+
"eval_runtime": 119.5498,
|
| 617 |
+
"eval_samples_per_second": 6.399,
|
| 618 |
+
"eval_steps_per_second": 0.803,
|
| 619 |
+
"step": 784
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 7.053691275167785,
|
| 623 |
+
"grad_norm": 13.639359474182129,
|
| 624 |
+
"learning_rate": 7.980158730158732e-06,
|
| 625 |
+
"loss": 0.2103,
|
| 626 |
"step": 790
|
| 627 |
},
|
| 628 |
{
|
| 629 |
+
"epoch": 7.143176733780761,
|
| 630 |
+
"grad_norm": 27.568639755249023,
|
| 631 |
+
"learning_rate": 7.94047619047619e-06,
|
| 632 |
+
"loss": 0.1676,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 633 |
"step": 800
|
| 634 |
},
|
| 635 |
{
|
| 636 |
+
"epoch": 7.232662192393736,
|
| 637 |
+
"grad_norm": 17.152692794799805,
|
| 638 |
+
"learning_rate": 7.900793650793652e-06,
|
| 639 |
+
"loss": 0.1818,
|
| 640 |
"step": 810
|
| 641 |
},
|
| 642 |
{
|
| 643 |
+
"epoch": 7.322147651006711,
|
| 644 |
+
"grad_norm": 16.47798728942871,
|
| 645 |
+
"learning_rate": 7.861111111111112e-06,
|
| 646 |
+
"loss": 0.2058,
|
| 647 |
"step": 820
|
| 648 |
},
|
| 649 |
{
|
| 650 |
+
"epoch": 7.411633109619687,
|
| 651 |
+
"grad_norm": 17.176942825317383,
|
| 652 |
+
"learning_rate": 7.821428571428571e-06,
|
| 653 |
+
"loss": 0.1508,
|
| 654 |
"step": 830
|
| 655 |
},
|
| 656 |
{
|
| 657 |
+
"epoch": 7.501118568232663,
|
| 658 |
+
"grad_norm": 29.886573791503906,
|
| 659 |
+
"learning_rate": 7.781746031746032e-06,
|
| 660 |
+
"loss": 0.2434,
|
| 661 |
"step": 840
|
| 662 |
},
|
| 663 |
{
|
| 664 |
+
"epoch": 7.590604026845638,
|
| 665 |
+
"grad_norm": 22.851221084594727,
|
| 666 |
+
"learning_rate": 7.742063492063493e-06,
|
| 667 |
+
"loss": 0.2431,
|
| 668 |
"step": 850
|
| 669 |
},
|
| 670 |
{
|
| 671 |
+
"epoch": 7.680089485458613,
|
| 672 |
+
"grad_norm": 9.74971866607666,
|
| 673 |
+
"learning_rate": 7.702380952380954e-06,
|
| 674 |
+
"loss": 0.1905,
|
| 675 |
"step": 860
|
| 676 |
},
|
| 677 |
{
|
| 678 |
+
"epoch": 7.769574944071588,
|
| 679 |
+
"grad_norm": 22.99750328063965,
|
| 680 |
+
"learning_rate": 7.662698412698414e-06,
|
| 681 |
+
"loss": 0.2215,
|
| 682 |
"step": 870
|
| 683 |
},
|
| 684 |
{
|
| 685 |
+
"epoch": 7.859060402684563,
|
| 686 |
+
"grad_norm": 29.295093536376953,
|
| 687 |
+
"learning_rate": 7.623015873015873e-06,
|
| 688 |
+
"loss": 0.2222,
|
| 689 |
"step": 880
|
| 690 |
},
|
| 691 |
{
|
| 692 |
+
"epoch": 7.948545861297539,
|
| 693 |
+
"grad_norm": 13.15281867980957,
|
| 694 |
+
"learning_rate": 7.583333333333333e-06,
|
| 695 |
+
"loss": 0.2172,
|
| 696 |
"step": 890
|
| 697 |
},
|
| 698 |
{
|
| 699 |
+
"epoch": 8.0,
|
| 700 |
+
"eval_loss": 0.5693853497505188,
|
| 701 |
+
"eval_macro_f1": 0.7617472396955967,
|
| 702 |
+
"eval_runtime": 71.7674,
|
| 703 |
+
"eval_samples_per_second": 10.659,
|
| 704 |
+
"eval_steps_per_second": 1.338,
|
| 705 |
+
"step": 896
|
| 706 |
+
},
|
| 707 |
+
{
|
| 708 |
+
"epoch": 8.03579418344519,
|
| 709 |
+
"grad_norm": 17.01239585876465,
|
| 710 |
+
"learning_rate": 7.543650793650794e-06,
|
| 711 |
+
"loss": 0.2183,
|
| 712 |
"step": 900
|
| 713 |
},
|
| 714 |
{
|
| 715 |
+
"epoch": 8.125279642058166,
|
| 716 |
+
"grad_norm": 16.31254768371582,
|
| 717 |
+
"learning_rate": 7.503968253968255e-06,
|
| 718 |
+
"loss": 0.1393,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 719 |
"step": 910
|
| 720 |
},
|
| 721 |
{
|
| 722 |
+
"epoch": 8.21476510067114,
|
| 723 |
+
"grad_norm": 21.926393508911133,
|
| 724 |
+
"learning_rate": 7.464285714285715e-06,
|
| 725 |
+
"loss": 0.2104,
|
| 726 |
"step": 920
|
| 727 |
},
|
| 728 |
{
|
| 729 |
+
"epoch": 8.304250559284116,
|
| 730 |
+
"grad_norm": 16.77183723449707,
|
| 731 |
+
"learning_rate": 7.4246031746031754e-06,
|
| 732 |
+
"loss": 0.1808,
|
| 733 |
"step": 930
|
| 734 |
},
|
| 735 |
{
|
| 736 |
+
"epoch": 8.393736017897092,
|
| 737 |
+
"grad_norm": 10.125628471374512,
|
| 738 |
+
"learning_rate": 7.384920634920636e-06,
|
| 739 |
+
"loss": 0.142,
|
| 740 |
"step": 940
|
| 741 |
},
|
| 742 |
{
|
| 743 |
+
"epoch": 8.483221476510067,
|
| 744 |
+
"grad_norm": 8.853920936584473,
|
| 745 |
+
"learning_rate": 7.345238095238096e-06,
|
| 746 |
+
"loss": 0.1674,
|
| 747 |
"step": 950
|
| 748 |
},
|
| 749 |
{
|
| 750 |
+
"epoch": 8.572706935123042,
|
| 751 |
+
"grad_norm": 16.407033920288086,
|
| 752 |
+
"learning_rate": 7.305555555555556e-06,
|
| 753 |
+
"loss": 0.1684,
|
| 754 |
"step": 960
|
| 755 |
},
|
| 756 |
{
|
| 757 |
+
"epoch": 8.662192393736017,
|
| 758 |
+
"grad_norm": 19.892669677734375,
|
| 759 |
+
"learning_rate": 7.265873015873016e-06,
|
| 760 |
+
"loss": 0.1673,
|
| 761 |
"step": 970
|
| 762 |
},
|
| 763 |
{
|
| 764 |
+
"epoch": 8.751677852348994,
|
| 765 |
+
"grad_norm": 5.113985061645508,
|
| 766 |
+
"learning_rate": 7.226190476190477e-06,
|
| 767 |
+
"loss": 0.2087,
|
| 768 |
"step": 980
|
| 769 |
},
|
| 770 |
{
|
| 771 |
+
"epoch": 8.841163310961969,
|
| 772 |
+
"grad_norm": 10.283279418945312,
|
| 773 |
+
"learning_rate": 7.186507936507937e-06,
|
| 774 |
+
"loss": 0.1728,
|
| 775 |
"step": 990
|
| 776 |
},
|
| 777 |
{
|
| 778 |
+
"epoch": 8.930648769574944,
|
| 779 |
+
"grad_norm": 11.258045196533203,
|
| 780 |
+
"learning_rate": 7.146825396825397e-06,
|
| 781 |
+
"loss": 0.2067,
|
| 782 |
"step": 1000
|
| 783 |
},
|
| 784 |
{
|
| 785 |
+
"epoch": 9.0,
|
| 786 |
+
"eval_loss": 0.6666957139968872,
|
| 787 |
+
"eval_macro_f1": 0.7585227272727273,
|
| 788 |
+
"eval_runtime": 75.2405,
|
| 789 |
+
"eval_samples_per_second": 10.167,
|
| 790 |
+
"eval_steps_per_second": 1.276,
|
| 791 |
+
"step": 1008
|
| 792 |
+
},
|
| 793 |
+
{
|
| 794 |
+
"epoch": 9.017897091722595,
|
| 795 |
+
"grad_norm": 31.886018753051758,
|
| 796 |
+
"learning_rate": 7.107142857142858e-06,
|
| 797 |
+
"loss": 0.1853,
|
| 798 |
"step": 1010
|
| 799 |
},
|
| 800 |
{
|
| 801 |
+
"epoch": 9.10738255033557,
|
| 802 |
+
"grad_norm": 21.961132049560547,
|
| 803 |
+
"learning_rate": 7.067460317460319e-06,
|
| 804 |
+
"loss": 0.1823,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 805 |
"step": 1020
|
| 806 |
},
|
| 807 |
{
|
| 808 |
+
"epoch": 9.196868008948545,
|
| 809 |
+
"grad_norm": 9.536689758300781,
|
| 810 |
+
"learning_rate": 7.027777777777778e-06,
|
| 811 |
+
"loss": 0.1289,
|
| 812 |
"step": 1030
|
| 813 |
},
|
| 814 |
{
|
| 815 |
+
"epoch": 9.286353467561522,
|
| 816 |
+
"grad_norm": 17.52619171142578,
|
| 817 |
+
"learning_rate": 6.988095238095239e-06,
|
| 818 |
+
"loss": 0.1421,
|
| 819 |
"step": 1040
|
| 820 |
},
|
| 821 |
{
|
| 822 |
+
"epoch": 9.375838926174497,
|
| 823 |
+
"grad_norm": 5.5908379554748535,
|
| 824 |
+
"learning_rate": 6.9484126984126985e-06,
|
| 825 |
+
"loss": 0.1024,
|
| 826 |
"step": 1050
|
| 827 |
},
|
| 828 |
{
|
| 829 |
+
"epoch": 9.465324384787472,
|
| 830 |
+
"grad_norm": 15.923222541809082,
|
| 831 |
+
"learning_rate": 6.908730158730159e-06,
|
| 832 |
+
"loss": 0.1363,
|
| 833 |
"step": 1060
|
| 834 |
},
|
| 835 |
{
|
| 836 |
+
"epoch": 9.554809843400447,
|
| 837 |
+
"grad_norm": 7.426005840301514,
|
| 838 |
+
"learning_rate": 6.86904761904762e-06,
|
| 839 |
+
"loss": 0.1851,
|
| 840 |
"step": 1070
|
| 841 |
},
|
| 842 |
{
|
| 843 |
+
"epoch": 9.644295302013422,
|
| 844 |
+
"grad_norm": 2.362064838409424,
|
| 845 |
+
"learning_rate": 6.82936507936508e-06,
|
| 846 |
+
"loss": 0.1177,
|
| 847 |
"step": 1080
|
| 848 |
},
|
| 849 |
{
|
| 850 |
+
"epoch": 9.733780760626399,
|
| 851 |
+
"grad_norm": 16.235544204711914,
|
| 852 |
+
"learning_rate": 6.789682539682541e-06,
|
| 853 |
+
"loss": 0.0991,
|
| 854 |
"step": 1090
|
| 855 |
},
|
| 856 |
{
|
| 857 |
+
"epoch": 9.823266219239374,
|
| 858 |
+
"grad_norm": 8.337503433227539,
|
| 859 |
+
"learning_rate": 6.750000000000001e-06,
|
| 860 |
+
"loss": 0.13,
|
| 861 |
"step": 1100
|
| 862 |
},
|
| 863 |
{
|
| 864 |
+
"epoch": 9.912751677852349,
|
| 865 |
+
"grad_norm": 34.09331130981445,
|
| 866 |
+
"learning_rate": 6.7103174603174605e-06,
|
| 867 |
+
"loss": 0.1171,
|
| 868 |
"step": 1110
|
| 869 |
},
|
| 870 |
{
|
| 871 |
+
"epoch": 10.0,
|
| 872 |
+
"grad_norm": 25.452791213989258,
|
| 873 |
+
"learning_rate": 6.67063492063492e-06,
|
| 874 |
+
"loss": 0.1817,
|
| 875 |
"step": 1120
|
| 876 |
},
|
| 877 |
{
|
| 878 |
"epoch": 10.0,
|
| 879 |
+
"eval_loss": 0.8301987051963806,
|
| 880 |
+
"eval_macro_f1": 0.7432961635470596,
|
| 881 |
+
"eval_runtime": 71.6774,
|
| 882 |
+
"eval_samples_per_second": 10.673,
|
| 883 |
+
"eval_steps_per_second": 1.339,
|
| 884 |
+
"step": 1120
|
| 885 |
},
|
| 886 |
{
|
| 887 |
+
"epoch": 10.089485458612975,
|
| 888 |
+
"grad_norm": 19.931293487548828,
|
| 889 |
+
"learning_rate": 6.630952380952381e-06,
|
| 890 |
+
"loss": 0.1405,
|
|
|
|
|
|
|
| 891 |
"step": 1130
|
| 892 |
},
|
| 893 |
{
|
| 894 |
+
"epoch": 10.17897091722595,
|
| 895 |
+
"grad_norm": 20.297443389892578,
|
| 896 |
+
"learning_rate": 6.591269841269842e-06,
|
| 897 |
+
"loss": 0.1359,
|
| 898 |
"step": 1140
|
| 899 |
},
|
| 900 |
{
|
| 901 |
+
"epoch": 10.268456375838927,
|
| 902 |
+
"grad_norm": 11.013289451599121,
|
| 903 |
+
"learning_rate": 6.551587301587302e-06,
|
| 904 |
+
"loss": 0.0918,
|
| 905 |
"step": 1150
|
| 906 |
},
|
| 907 |
{
|
| 908 |
+
"epoch": 10.357941834451902,
|
| 909 |
+
"grad_norm": 19.394319534301758,
|
| 910 |
+
"learning_rate": 6.5119047619047626e-06,
|
| 911 |
+
"loss": 0.1392,
|
| 912 |
"step": 1160
|
| 913 |
},
|
| 914 |
{
|
| 915 |
+
"epoch": 10.447427293064877,
|
| 916 |
+
"grad_norm": 28.343791961669922,
|
| 917 |
+
"learning_rate": 6.472222222222223e-06,
|
| 918 |
+
"loss": 0.1866,
|
| 919 |
"step": 1170
|
| 920 |
},
|
| 921 |
{
|
| 922 |
+
"epoch": 10.536912751677852,
|
| 923 |
+
"grad_norm": 14.38354778289795,
|
| 924 |
+
"learning_rate": 6.432539682539683e-06,
|
| 925 |
+
"loss": 0.1381,
|
| 926 |
"step": 1180
|
| 927 |
},
|
| 928 |
{
|
| 929 |
+
"epoch": 10.626398210290828,
|
| 930 |
+
"grad_norm": 24.752470016479492,
|
| 931 |
+
"learning_rate": 6.392857142857143e-06,
|
| 932 |
+
"loss": 0.202,
|
| 933 |
"step": 1190
|
| 934 |
},
|
| 935 |
{
|
| 936 |
+
"epoch": 10.715883668903803,
|
| 937 |
+
"grad_norm": 19.56192970275879,
|
| 938 |
+
"learning_rate": 6.353174603174603e-06,
|
| 939 |
+
"loss": 0.1566,
|
| 940 |
"step": 1200
|
| 941 |
},
|
| 942 |
{
|
| 943 |
+
"epoch": 10.805369127516778,
|
| 944 |
+
"grad_norm": 20.234485626220703,
|
| 945 |
+
"learning_rate": 6.313492063492064e-06,
|
| 946 |
+
"loss": 0.1061,
|
| 947 |
"step": 1210
|
| 948 |
},
|
| 949 |
{
|
| 950 |
+
"epoch": 10.894854586129753,
|
| 951 |
+
"grad_norm": 19.531757354736328,
|
| 952 |
+
"learning_rate": 6.2738095238095245e-06,
|
| 953 |
+
"loss": 0.1873,
|
| 954 |
"step": 1220
|
| 955 |
},
|
| 956 |
{
|
| 957 |
+
"epoch": 10.98434004474273,
|
| 958 |
+
"grad_norm": 16.655208587646484,
|
| 959 |
+
"learning_rate": 6.2341269841269844e-06,
|
| 960 |
+
"loss": 0.1102,
|
| 961 |
"step": 1230
|
| 962 |
},
|
| 963 |
{
|
| 964 |
+
"epoch": 11.0,
|
| 965 |
+
"eval_loss": 0.6939279437065125,
|
| 966 |
+
"eval_macro_f1": 0.769257323981233,
|
| 967 |
+
"eval_runtime": 73.198,
|
| 968 |
+
"eval_samples_per_second": 10.451,
|
| 969 |
+
"eval_steps_per_second": 1.312,
|
| 970 |
+
"step": 1232
|
| 971 |
+
},
|
| 972 |
+
{
|
| 973 |
+
"epoch": 11.07158836689038,
|
| 974 |
+
"grad_norm": 5.695398330688477,
|
| 975 |
+
"learning_rate": 6.194444444444445e-06,
|
| 976 |
+
"loss": 0.1283,
|
| 977 |
"step": 1240
|
| 978 |
},
|
| 979 |
{
|
| 980 |
+
"epoch": 11.161073825503356,
|
| 981 |
+
"grad_norm": 9.851438522338867,
|
| 982 |
+
"learning_rate": 6.154761904761906e-06,
|
| 983 |
+
"loss": 0.1065,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 984 |
"step": 1250
|
| 985 |
},
|
| 986 |
{
|
| 987 |
+
"epoch": 11.250559284116331,
|
| 988 |
+
"grad_norm": 29.838871002197266,
|
| 989 |
+
"learning_rate": 6.115079365079366e-06,
|
| 990 |
+
"loss": 0.1426,
|
| 991 |
"step": 1260
|
| 992 |
},
|
| 993 |
{
|
| 994 |
+
"epoch": 11.340044742729306,
|
| 995 |
+
"grad_norm": 7.144505500793457,
|
| 996 |
+
"learning_rate": 6.075396825396826e-06,
|
| 997 |
+
"loss": 0.093,
|
| 998 |
"step": 1270
|
| 999 |
},
|
| 1000 |
{
|
| 1001 |
+
"epoch": 11.429530201342281,
|
| 1002 |
+
"grad_norm": 15.980908393859863,
|
| 1003 |
+
"learning_rate": 6.035714285714286e-06,
|
| 1004 |
+
"loss": 0.1508,
|
| 1005 |
"step": 1280
|
| 1006 |
},
|
| 1007 |
{
|
| 1008 |
+
"epoch": 11.519015659955258,
|
| 1009 |
+
"grad_norm": 23.028108596801758,
|
| 1010 |
+
"learning_rate": 5.996031746031746e-06,
|
| 1011 |
+
"loss": 0.1719,
|
| 1012 |
"step": 1290
|
| 1013 |
},
|
| 1014 |
{
|
| 1015 |
+
"epoch": 11.608501118568233,
|
| 1016 |
+
"grad_norm": 14.000625610351562,
|
| 1017 |
+
"learning_rate": 5.956349206349207e-06,
|
| 1018 |
+
"loss": 0.1063,
|
| 1019 |
"step": 1300
|
| 1020 |
},
|
| 1021 |
{
|
| 1022 |
+
"epoch": 11.697986577181208,
|
| 1023 |
+
"grad_norm": 13.606029510498047,
|
| 1024 |
+
"learning_rate": 5.916666666666667e-06,
|
| 1025 |
+
"loss": 0.1194,
|
| 1026 |
"step": 1310
|
| 1027 |
},
|
| 1028 |
{
|
| 1029 |
+
"epoch": 11.787472035794183,
|
| 1030 |
+
"grad_norm": 13.779529571533203,
|
| 1031 |
+
"learning_rate": 5.876984126984128e-06,
|
| 1032 |
+
"loss": 0.1728,
|
| 1033 |
"step": 1320
|
| 1034 |
},
|
| 1035 |
{
|
| 1036 |
+
"epoch": 11.87695749440716,
|
| 1037 |
+
"grad_norm": 10.599024772644043,
|
| 1038 |
+
"learning_rate": 5.8373015873015886e-06,
|
| 1039 |
+
"loss": 0.0797,
|
| 1040 |
"step": 1330
|
| 1041 |
},
|
| 1042 |
{
|
| 1043 |
+
"epoch": 11.966442953020135,
|
| 1044 |
+
"grad_norm": 11.666370391845703,
|
| 1045 |
+
"learning_rate": 5.7976190476190485e-06,
|
| 1046 |
+
"loss": 0.1175,
|
| 1047 |
"step": 1340
|
| 1048 |
},
|
| 1049 |
{
|
| 1050 |
+
"epoch": 12.0,
|
| 1051 |
+
"eval_loss": 0.6560544967651367,
|
| 1052 |
+
"eval_macro_f1": 0.7722084367245657,
|
| 1053 |
+
"eval_runtime": 65.1441,
|
| 1054 |
+
"eval_samples_per_second": 11.743,
|
| 1055 |
+
"eval_steps_per_second": 1.474,
|
| 1056 |
+
"step": 1344
|
| 1057 |
+
},
|
| 1058 |
+
{
|
| 1059 |
+
"epoch": 12.053691275167786,
|
| 1060 |
+
"grad_norm": 12.950461387634277,
|
| 1061 |
+
"learning_rate": 5.7579365079365075e-06,
|
| 1062 |
+
"loss": 0.1042,
|
| 1063 |
"step": 1350
|
| 1064 |
},
|
| 1065 |
{
|
| 1066 |
+
"epoch": 12.143176733780761,
|
| 1067 |
+
"grad_norm": 9.609066009521484,
|
| 1068 |
+
"learning_rate": 5.718253968253968e-06,
|
| 1069 |
+
"loss": 0.12,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1070 |
"step": 1360
|
| 1071 |
},
|
| 1072 |
{
|
| 1073 |
+
"epoch": 12.232662192393736,
|
| 1074 |
+
"grad_norm": 23.64732551574707,
|
| 1075 |
+
"learning_rate": 5.678571428571429e-06,
|
| 1076 |
+
"loss": 0.1145,
|
| 1077 |
"step": 1370
|
| 1078 |
},
|
| 1079 |
{
|
| 1080 |
+
"epoch": 12.322147651006711,
|
| 1081 |
+
"grad_norm": 32.57529067993164,
|
| 1082 |
+
"learning_rate": 5.638888888888889e-06,
|
| 1083 |
+
"loss": 0.0992,
|
| 1084 |
"step": 1380
|
| 1085 |
},
|
| 1086 |
{
|
| 1087 |
+
"epoch": 12.411633109619686,
|
| 1088 |
+
"grad_norm": 7.419304370880127,
|
| 1089 |
+
"learning_rate": 5.59920634920635e-06,
|
| 1090 |
+
"loss": 0.0988,
|
| 1091 |
"step": 1390
|
| 1092 |
},
|
| 1093 |
{
|
| 1094 |
+
"epoch": 12.501118568232663,
|
| 1095 |
+
"grad_norm": 6.912314414978027,
|
| 1096 |
+
"learning_rate": 5.5595238095238104e-06,
|
| 1097 |
+
"loss": 0.1157,
|
| 1098 |
"step": 1400
|
| 1099 |
},
|
| 1100 |
{
|
| 1101 |
+
"epoch": 12.590604026845638,
|
| 1102 |
+
"grad_norm": 19.71913719177246,
|
| 1103 |
+
"learning_rate": 5.51984126984127e-06,
|
| 1104 |
+
"loss": 0.1478,
|
| 1105 |
"step": 1410
|
| 1106 |
},
|
| 1107 |
{
|
| 1108 |
+
"epoch": 12.680089485458613,
|
| 1109 |
+
"grad_norm": 20.64476203918457,
|
| 1110 |
+
"learning_rate": 5.480158730158731e-06,
|
| 1111 |
+
"loss": 0.1196,
|
| 1112 |
"step": 1420
|
| 1113 |
},
|
| 1114 |
{
|
| 1115 |
+
"epoch": 12.769574944071588,
|
| 1116 |
+
"grad_norm": 15.437020301818848,
|
| 1117 |
+
"learning_rate": 5.44047619047619e-06,
|
| 1118 |
+
"loss": 0.0766,
|
| 1119 |
"step": 1430
|
| 1120 |
},
|
| 1121 |
{
|
| 1122 |
+
"epoch": 12.859060402684564,
|
| 1123 |
+
"grad_norm": 9.825302124023438,
|
| 1124 |
+
"learning_rate": 5.400793650793651e-06,
|
| 1125 |
+
"loss": 0.1254,
|
| 1126 |
"step": 1440
|
| 1127 |
},
|
| 1128 |
{
|
| 1129 |
+
"epoch": 12.94854586129754,
|
| 1130 |
+
"grad_norm": 26.381696701049805,
|
| 1131 |
+
"learning_rate": 5.361111111111112e-06,
|
| 1132 |
+
"loss": 0.1025,
|
| 1133 |
"step": 1450
|
| 1134 |
},
|
| 1135 |
{
|
| 1136 |
+
"epoch": 13.0,
|
| 1137 |
+
"eval_loss": 0.7549577951431274,
|
| 1138 |
+
"eval_macro_f1": 0.7658037701779237,
|
| 1139 |
+
"eval_runtime": 75.4344,
|
| 1140 |
+
"eval_samples_per_second": 10.141,
|
| 1141 |
+
"eval_steps_per_second": 1.273,
|
| 1142 |
+
"step": 1456
|
| 1143 |
+
},
|
| 1144 |
+
{
|
| 1145 |
+
"epoch": 13.03579418344519,
|
| 1146 |
+
"grad_norm": 25.113908767700195,
|
| 1147 |
+
"learning_rate": 5.3214285714285715e-06,
|
| 1148 |
+
"loss": 0.1438,
|
| 1149 |
"step": 1460
|
| 1150 |
},
|
| 1151 |
{
|
| 1152 |
+
"epoch": 13.125279642058166,
|
| 1153 |
+
"grad_norm": 10.833968162536621,
|
| 1154 |
+
"learning_rate": 5.281746031746032e-06,
|
| 1155 |
+
"loss": 0.1749,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1156 |
"step": 1470
|
| 1157 |
},
|
| 1158 |
{
|
| 1159 |
+
"epoch": 13.21476510067114,
|
| 1160 |
+
"grad_norm": 22.27955436706543,
|
| 1161 |
+
"learning_rate": 5.242063492063493e-06,
|
| 1162 |
+
"loss": 0.1608,
|
| 1163 |
"step": 1480
|
| 1164 |
},
|
| 1165 |
{
|
| 1166 |
+
"epoch": 13.304250559284116,
|
| 1167 |
+
"grad_norm": 15.125386238098145,
|
| 1168 |
+
"learning_rate": 5.202380952380953e-06,
|
| 1169 |
+
"loss": 0.1503,
|
| 1170 |
"step": 1490
|
| 1171 |
},
|
| 1172 |
{
|
| 1173 |
+
"epoch": 13.393736017897092,
|
| 1174 |
+
"grad_norm": 3.4376182556152344,
|
| 1175 |
+
"learning_rate": 5.162698412698414e-06,
|
| 1176 |
+
"loss": 0.0819,
|
| 1177 |
"step": 1500
|
| 1178 |
},
|
| 1179 |
{
|
| 1180 |
+
"epoch": 13.483221476510067,
|
| 1181 |
+
"grad_norm": 15.98349380493164,
|
| 1182 |
+
"learning_rate": 5.123015873015873e-06,
|
| 1183 |
+
"loss": 0.0837,
|
| 1184 |
"step": 1510
|
| 1185 |
},
|
| 1186 |
{
|
| 1187 |
+
"epoch": 13.572706935123042,
|
| 1188 |
+
"grad_norm": 11.065319061279297,
|
| 1189 |
+
"learning_rate": 5.0833333333333335e-06,
|
| 1190 |
+
"loss": 0.1035,
|
| 1191 |
"step": 1520
|
| 1192 |
},
|
| 1193 |
{
|
| 1194 |
+
"epoch": 13.662192393736017,
|
| 1195 |
+
"grad_norm": 10.306619644165039,
|
| 1196 |
+
"learning_rate": 5.043650793650794e-06,
|
| 1197 |
+
"loss": 0.1075,
|
| 1198 |
"step": 1530
|
| 1199 |
},
|
| 1200 |
{
|
| 1201 |
+
"epoch": 13.751677852348994,
|
| 1202 |
+
"grad_norm": 15.42297077178955,
|
| 1203 |
+
"learning_rate": 5.003968253968254e-06,
|
| 1204 |
+
"loss": 0.1208,
|
| 1205 |
"step": 1540
|
| 1206 |
},
|
| 1207 |
{
|
| 1208 |
+
"epoch": 13.841163310961969,
|
| 1209 |
+
"grad_norm": 20.406225204467773,
|
| 1210 |
+
"learning_rate": 4.964285714285715e-06,
|
| 1211 |
+
"loss": 0.1014,
|
| 1212 |
"step": 1550
|
| 1213 |
},
|
| 1214 |
{
|
| 1215 |
+
"epoch": 13.930648769574944,
|
| 1216 |
+
"grad_norm": 16.1427059173584,
|
| 1217 |
+
"learning_rate": 4.924603174603176e-06,
|
| 1218 |
+
"loss": 0.1593,
|
| 1219 |
"step": 1560
|
| 1220 |
},
|
| 1221 |
{
|
| 1222 |
+
"epoch": 14.0,
|
| 1223 |
+
"eval_loss": 0.7316491007804871,
|
| 1224 |
+
"eval_macro_f1": 0.7694998475634216,
|
| 1225 |
+
"eval_runtime": 69.4982,
|
| 1226 |
+
"eval_samples_per_second": 11.007,
|
| 1227 |
+
"eval_steps_per_second": 1.381,
|
| 1228 |
+
"step": 1568
|
| 1229 |
+
},
|
| 1230 |
+
{
|
| 1231 |
+
"epoch": 14.017897091722595,
|
| 1232 |
+
"grad_norm": 9.524744987487793,
|
| 1233 |
+
"learning_rate": 4.8849206349206356e-06,
|
| 1234 |
+
"loss": 0.1199,
|
| 1235 |
"step": 1570
|
| 1236 |
},
|
| 1237 |
{
|
| 1238 |
+
"epoch": 14.10738255033557,
|
| 1239 |
+
"grad_norm": 14.937419891357422,
|
| 1240 |
+
"learning_rate": 4.8452380952380955e-06,
|
| 1241 |
+
"loss": 0.1189,
|
| 1242 |
"step": 1580
|
| 1243 |
},
|
| 1244 |
{
|
| 1245 |
+
"epoch": 14.196868008948545,
|
| 1246 |
+
"grad_norm": 19.528654098510742,
|
| 1247 |
+
"learning_rate": 4.805555555555556e-06,
|
| 1248 |
+
"loss": 0.1114,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1249 |
"step": 1590
|
| 1250 |
},
|
| 1251 |
{
|
| 1252 |
+
"epoch": 14.286353467561522,
|
| 1253 |
+
"grad_norm": 2.1810483932495117,
|
| 1254 |
+
"learning_rate": 4.765873015873016e-06,
|
| 1255 |
+
"loss": 0.0805,
|
| 1256 |
"step": 1600
|
| 1257 |
},
|
| 1258 |
{
|
| 1259 |
+
"epoch": 14.375838926174497,
|
| 1260 |
+
"grad_norm": 5.020853042602539,
|
| 1261 |
+
"learning_rate": 4.726190476190476e-06,
|
| 1262 |
+
"loss": 0.1097,
|
| 1263 |
"step": 1610
|
| 1264 |
},
|
| 1265 |
{
|
| 1266 |
+
"epoch": 14.465324384787472,
|
| 1267 |
+
"grad_norm": 12.4754638671875,
|
| 1268 |
+
"learning_rate": 4.686507936507937e-06,
|
| 1269 |
+
"loss": 0.1231,
|
| 1270 |
"step": 1620
|
| 1271 |
},
|
| 1272 |
{
|
| 1273 |
+
"epoch": 14.554809843400447,
|
| 1274 |
+
"grad_norm": 25.44110679626465,
|
| 1275 |
+
"learning_rate": 4.6468253968253975e-06,
|
| 1276 |
+
"loss": 0.0903,
|
| 1277 |
"step": 1630
|
| 1278 |
},
|
| 1279 |
{
|
| 1280 |
+
"epoch": 14.644295302013422,
|
| 1281 |
+
"grad_norm": 27.849111557006836,
|
| 1282 |
+
"learning_rate": 4.6071428571428574e-06,
|
| 1283 |
+
"loss": 0.0905,
|
| 1284 |
"step": 1640
|
| 1285 |
},
|
| 1286 |
{
|
| 1287 |
+
"epoch": 14.733780760626399,
|
| 1288 |
+
"grad_norm": 18.283781051635742,
|
| 1289 |
+
"learning_rate": 4.567460317460317e-06,
|
| 1290 |
+
"loss": 0.0617,
|
| 1291 |
"step": 1650
|
| 1292 |
},
|
| 1293 |
{
|
| 1294 |
+
"epoch": 14.823266219239374,
|
| 1295 |
+
"grad_norm": 17.507619857788086,
|
| 1296 |
+
"learning_rate": 4.527777777777778e-06,
|
| 1297 |
+
"loss": 0.13,
|
| 1298 |
"step": 1660
|
| 1299 |
},
|
| 1300 |
{
|
| 1301 |
+
"epoch": 14.912751677852349,
|
| 1302 |
+
"grad_norm": 21.756675720214844,
|
| 1303 |
+
"learning_rate": 4.488095238095239e-06,
|
| 1304 |
+
"loss": 0.0926,
|
| 1305 |
"step": 1670
|
| 1306 |
},
|
| 1307 |
{
|
| 1308 |
+
"epoch": 15.0,
|
| 1309 |
+
"grad_norm": 19.568700790405273,
|
| 1310 |
+
"learning_rate": 4.448412698412699e-06,
|
| 1311 |
+
"loss": 0.0954,
|
| 1312 |
+
"step": 1680
|
| 1313 |
+
},
|
| 1314 |
+
{
|
| 1315 |
+
"epoch": 15.0,
|
| 1316 |
+
"eval_loss": 0.6716505885124207,
|
| 1317 |
+
"eval_macro_f1": 0.7774340887550624,
|
| 1318 |
+
"eval_runtime": 72.4554,
|
| 1319 |
+
"eval_samples_per_second": 10.558,
|
| 1320 |
+
"eval_steps_per_second": 1.325,
|
| 1321 |
"step": 1680
|
| 1322 |
},
|
| 1323 |
{
|
| 1324 |
+
"epoch": 15.089485458612975,
|
| 1325 |
+
"grad_norm": 18.1299991607666,
|
| 1326 |
+
"learning_rate": 4.408730158730159e-06,
|
| 1327 |
+
"loss": 0.0678,
|
| 1328 |
"step": 1690
|
| 1329 |
},
|
| 1330 |
{
|
| 1331 |
+
"epoch": 15.17897091722595,
|
| 1332 |
+
"grad_norm": 4.439563751220703,
|
| 1333 |
+
"learning_rate": 4.369047619047619e-06,
|
| 1334 |
+
"loss": 0.0767,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1335 |
"step": 1700
|
| 1336 |
},
|
| 1337 |
{
|
| 1338 |
+
"epoch": 15.268456375838927,
|
| 1339 |
+
"grad_norm": 14.997693061828613,
|
| 1340 |
+
"learning_rate": 4.32936507936508e-06,
|
| 1341 |
+
"loss": 0.0664,
|
| 1342 |
"step": 1710
|
| 1343 |
},
|
| 1344 |
{
|
| 1345 |
+
"epoch": 15.357941834451902,
|
| 1346 |
+
"grad_norm": 7.552863597869873,
|
| 1347 |
+
"learning_rate": 4.28968253968254e-06,
|
| 1348 |
+
"loss": 0.0842,
|
| 1349 |
"step": 1720
|
| 1350 |
},
|
| 1351 |
{
|
| 1352 |
+
"epoch": 15.447427293064877,
|
| 1353 |
+
"grad_norm": 8.728134155273438,
|
| 1354 |
+
"learning_rate": 4.25e-06,
|
| 1355 |
+
"loss": 0.1015,
|
| 1356 |
"step": 1730
|
| 1357 |
},
|
| 1358 |
{
|
| 1359 |
+
"epoch": 15.536912751677852,
|
| 1360 |
+
"grad_norm": 11.534658432006836,
|
| 1361 |
+
"learning_rate": 4.210317460317461e-06,
|
| 1362 |
+
"loss": 0.1085,
|
| 1363 |
"step": 1740
|
| 1364 |
},
|
| 1365 |
{
|
| 1366 |
+
"epoch": 15.626398210290828,
|
| 1367 |
+
"grad_norm": 22.487648010253906,
|
| 1368 |
+
"learning_rate": 4.1706349206349215e-06,
|
| 1369 |
+
"loss": 0.0993,
|
| 1370 |
"step": 1750
|
| 1371 |
},
|
| 1372 |
{
|
| 1373 |
+
"epoch": 15.715883668903803,
|
| 1374 |
+
"grad_norm": 4.885320663452148,
|
| 1375 |
+
"learning_rate": 4.130952380952381e-06,
|
| 1376 |
+
"loss": 0.093,
|
| 1377 |
"step": 1760
|
| 1378 |
},
|
| 1379 |
{
|
| 1380 |
+
"epoch": 15.805369127516778,
|
| 1381 |
+
"grad_norm": 16.688884735107422,
|
| 1382 |
+
"learning_rate": 4.091269841269841e-06,
|
| 1383 |
+
"loss": 0.0732,
|
| 1384 |
"step": 1770
|
| 1385 |
},
|
| 1386 |
{
|
| 1387 |
+
"epoch": 15.894854586129753,
|
| 1388 |
+
"grad_norm": 30.58871841430664,
|
| 1389 |
+
"learning_rate": 4.051587301587302e-06,
|
| 1390 |
+
"loss": 0.0867,
|
| 1391 |
"step": 1780
|
| 1392 |
},
|
| 1393 |
{
|
| 1394 |
+
"epoch": 15.98434004474273,
|
| 1395 |
+
"grad_norm": 17.19178009033203,
|
| 1396 |
+
"learning_rate": 4.011904761904763e-06,
|
| 1397 |
+
"loss": 0.0676,
|
| 1398 |
"step": 1790
|
| 1399 |
},
|
| 1400 |
{
|
| 1401 |
+
"epoch": 16.0,
|
| 1402 |
+
"eval_loss": 0.7994140386581421,
|
| 1403 |
+
"eval_macro_f1": 0.7741348066298342,
|
| 1404 |
+
"eval_runtime": 75.3551,
|
| 1405 |
+
"eval_samples_per_second": 10.152,
|
| 1406 |
+
"eval_steps_per_second": 1.274,
|
| 1407 |
+
"step": 1792
|
| 1408 |
+
},
|
| 1409 |
+
{
|
| 1410 |
+
"epoch": 16.07158836689038,
|
| 1411 |
+
"grad_norm": 10.005722999572754,
|
| 1412 |
+
"learning_rate": 3.972222222222223e-06,
|
| 1413 |
+
"loss": 0.0858,
|
| 1414 |
"step": 1800
|
| 1415 |
},
|
| 1416 |
{
|
| 1417 |
+
"epoch": 16.161073825503355,
|
| 1418 |
+
"grad_norm": 20.64703369140625,
|
| 1419 |
+
"learning_rate": 3.932539682539683e-06,
|
| 1420 |
+
"loss": 0.0836,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1421 |
"step": 1810
|
| 1422 |
},
|
| 1423 |
{
|
| 1424 |
+
"epoch": 16.25055928411633,
|
| 1425 |
+
"grad_norm": 8.218932151794434,
|
| 1426 |
+
"learning_rate": 3.892857142857143e-06,
|
| 1427 |
+
"loss": 0.0969,
|
| 1428 |
"step": 1820
|
| 1429 |
},
|
| 1430 |
{
|
| 1431 |
+
"epoch": 16.340044742729308,
|
| 1432 |
+
"grad_norm": 0.8766313195228577,
|
| 1433 |
+
"learning_rate": 3.853174603174604e-06,
|
| 1434 |
+
"loss": 0.0432,
|
| 1435 |
"step": 1830
|
| 1436 |
},
|
| 1437 |
{
|
| 1438 |
+
"epoch": 16.42953020134228,
|
| 1439 |
+
"grad_norm": 12.166719436645508,
|
| 1440 |
+
"learning_rate": 3.8134920634920636e-06,
|
| 1441 |
+
"loss": 0.0844,
|
| 1442 |
"step": 1840
|
| 1443 |
},
|
| 1444 |
{
|
| 1445 |
+
"epoch": 16.519015659955258,
|
| 1446 |
+
"grad_norm": 8.594962120056152,
|
| 1447 |
+
"learning_rate": 3.773809523809524e-06,
|
| 1448 |
+
"loss": 0.1276,
|
| 1449 |
"step": 1850
|
| 1450 |
},
|
| 1451 |
{
|
| 1452 |
+
"epoch": 16.60850111856823,
|
| 1453 |
+
"grad_norm": 2.2263548374176025,
|
| 1454 |
+
"learning_rate": 3.7341269841269846e-06,
|
| 1455 |
+
"loss": 0.0661,
|
| 1456 |
"step": 1860
|
| 1457 |
},
|
| 1458 |
{
|
| 1459 |
+
"epoch": 16.697986577181208,
|
| 1460 |
+
"grad_norm": 6.170251846313477,
|
| 1461 |
+
"learning_rate": 3.694444444444445e-06,
|
| 1462 |
+
"loss": 0.1007,
|
| 1463 |
"step": 1870
|
| 1464 |
},
|
| 1465 |
{
|
| 1466 |
+
"epoch": 16.787472035794185,
|
| 1467 |
+
"grad_norm": 8.359641075134277,
|
| 1468 |
+
"learning_rate": 3.654761904761905e-06,
|
| 1469 |
+
"loss": 0.0993,
|
| 1470 |
"step": 1880
|
| 1471 |
},
|
| 1472 |
{
|
| 1473 |
+
"epoch": 16.876957494407158,
|
| 1474 |
+
"grad_norm": 12.583647727966309,
|
| 1475 |
+
"learning_rate": 3.615079365079365e-06,
|
| 1476 |
+
"loss": 0.0826,
|
| 1477 |
"step": 1890
|
| 1478 |
},
|
| 1479 |
{
|
| 1480 |
+
"epoch": 16.966442953020135,
|
| 1481 |
+
"grad_norm": 6.046731948852539,
|
| 1482 |
+
"learning_rate": 3.575396825396826e-06,
|
| 1483 |
+
"loss": 0.0444,
|
| 1484 |
"step": 1900
|
| 1485 |
},
|
| 1486 |
{
|
| 1487 |
+
"epoch": 17.0,
|
| 1488 |
+
"eval_loss": 0.747003436088562,
|
| 1489 |
+
"eval_macro_f1": 0.7839196689592837,
|
| 1490 |
+
"eval_runtime": 75.1906,
|
| 1491 |
+
"eval_samples_per_second": 10.174,
|
| 1492 |
+
"eval_steps_per_second": 1.277,
|
| 1493 |
+
"step": 1904
|
| 1494 |
+
},
|
| 1495 |
+
{
|
| 1496 |
+
"epoch": 17.053691275167786,
|
| 1497 |
+
"grad_norm": 20.228485107421875,
|
| 1498 |
+
"learning_rate": 3.5357142857142863e-06,
|
| 1499 |
+
"loss": 0.0961,
|
| 1500 |
"step": 1910
|
| 1501 |
},
|
| 1502 |
{
|
| 1503 |
+
"epoch": 17.14317673378076,
|
| 1504 |
+
"grad_norm": 26.031396865844727,
|
| 1505 |
+
"learning_rate": 3.496031746031746e-06,
|
| 1506 |
+
"loss": 0.0873,
|
| 1507 |
"step": 1920
|
| 1508 |
},
|
| 1509 |
{
|
| 1510 |
+
"epoch": 17.232662192393736,
|
| 1511 |
+
"grad_norm": 12.642768859863281,
|
| 1512 |
+
"learning_rate": 3.4563492063492065e-06,
|
| 1513 |
+
"loss": 0.1064,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1514 |
"step": 1930
|
| 1515 |
},
|
| 1516 |
{
|
| 1517 |
+
"epoch": 17.322147651006713,
|
| 1518 |
+
"grad_norm": 18.097814559936523,
|
| 1519 |
+
"learning_rate": 3.416666666666667e-06,
|
| 1520 |
+
"loss": 0.0768,
|
| 1521 |
"step": 1940
|
| 1522 |
},
|
| 1523 |
{
|
| 1524 |
+
"epoch": 17.411633109619686,
|
| 1525 |
+
"grad_norm": 10.280755043029785,
|
| 1526 |
+
"learning_rate": 3.3769841269841276e-06,
|
| 1527 |
+
"loss": 0.1336,
|
| 1528 |
"step": 1950
|
| 1529 |
},
|
| 1530 |
{
|
| 1531 |
+
"epoch": 17.501118568232663,
|
| 1532 |
+
"grad_norm": 11.690203666687012,
|
| 1533 |
+
"learning_rate": 3.3373015873015875e-06,
|
| 1534 |
+
"loss": 0.0707,
|
| 1535 |
"step": 1960
|
| 1536 |
},
|
| 1537 |
{
|
| 1538 |
+
"epoch": 17.59060402684564,
|
| 1539 |
+
"grad_norm": 22.514507293701172,
|
| 1540 |
+
"learning_rate": 3.297619047619048e-06,
|
| 1541 |
+
"loss": 0.1073,
|
| 1542 |
"step": 1970
|
| 1543 |
},
|
| 1544 |
{
|
| 1545 |
+
"epoch": 17.680089485458613,
|
| 1546 |
+
"grad_norm": 10.396025657653809,
|
| 1547 |
+
"learning_rate": 3.257936507936508e-06,
|
| 1548 |
+
"loss": 0.0543,
|
| 1549 |
"step": 1980
|
| 1550 |
},
|
| 1551 |
{
|
| 1552 |
+
"epoch": 17.76957494407159,
|
| 1553 |
+
"grad_norm": 12.947179794311523,
|
| 1554 |
+
"learning_rate": 3.218253968253969e-06,
|
| 1555 |
+
"loss": 0.0768,
|
| 1556 |
"step": 1990
|
| 1557 |
},
|
| 1558 |
{
|
| 1559 |
+
"epoch": 17.859060402684563,
|
| 1560 |
+
"grad_norm": 2.5873477458953857,
|
| 1561 |
+
"learning_rate": 3.178571428571429e-06,
|
| 1562 |
+
"loss": 0.0766,
|
| 1563 |
"step": 2000
|
| 1564 |
},
|
| 1565 |
{
|
| 1566 |
+
"epoch": 17.94854586129754,
|
| 1567 |
+
"grad_norm": 6.163917064666748,
|
| 1568 |
+
"learning_rate": 3.138888888888889e-06,
|
| 1569 |
+
"loss": 0.0455,
|
| 1570 |
"step": 2010
|
| 1571 |
},
|
| 1572 |
{
|
| 1573 |
+
"epoch": 18.0,
|
| 1574 |
+
"eval_loss": 0.8047569990158081,
|
| 1575 |
+
"eval_macro_f1": 0.7781014378358804,
|
| 1576 |
+
"eval_runtime": 66.3878,
|
| 1577 |
+
"eval_samples_per_second": 11.523,
|
| 1578 |
+
"eval_steps_per_second": 1.446,
|
| 1579 |
+
"step": 2016
|
| 1580 |
+
},
|
| 1581 |
+
{
|
| 1582 |
+
"epoch": 18.03579418344519,
|
| 1583 |
+
"grad_norm": 4.654578685760498,
|
| 1584 |
+
"learning_rate": 3.0992063492063495e-06,
|
| 1585 |
+
"loss": 0.0684,
|
| 1586 |
"step": 2020
|
| 1587 |
},
|
| 1588 |
{
|
| 1589 |
+
"epoch": 18.125279642058164,
|
| 1590 |
+
"grad_norm": 1.1822065114974976,
|
| 1591 |
+
"learning_rate": 3.05952380952381e-06,
|
| 1592 |
+
"loss": 0.0961,
|
| 1593 |
"step": 2030
|
| 1594 |
},
|
| 1595 |
{
|
| 1596 |
+
"epoch": 18.21476510067114,
|
| 1597 |
+
"grad_norm": 21.223234176635742,
|
| 1598 |
+
"learning_rate": 3.0198412698412697e-06,
|
| 1599 |
+
"loss": 0.1265,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1600 |
"step": 2040
|
| 1601 |
},
|
| 1602 |
{
|
| 1603 |
+
"epoch": 18.304250559284117,
|
| 1604 |
+
"grad_norm": 12.335346221923828,
|
| 1605 |
+
"learning_rate": 2.9801587301587305e-06,
|
| 1606 |
+
"loss": 0.1095,
|
| 1607 |
"step": 2050
|
| 1608 |
},
|
| 1609 |
{
|
| 1610 |
+
"epoch": 18.39373601789709,
|
| 1611 |
+
"grad_norm": 4.7988715171813965,
|
| 1612 |
+
"learning_rate": 2.9404761904761908e-06,
|
| 1613 |
+
"loss": 0.0944,
|
| 1614 |
"step": 2060
|
| 1615 |
},
|
| 1616 |
{
|
| 1617 |
+
"epoch": 18.483221476510067,
|
| 1618 |
+
"grad_norm": 28.275365829467773,
|
| 1619 |
+
"learning_rate": 2.900793650793651e-06,
|
| 1620 |
+
"loss": 0.0549,
|
| 1621 |
"step": 2070
|
| 1622 |
},
|
| 1623 |
{
|
| 1624 |
+
"epoch": 18.572706935123044,
|
| 1625 |
+
"grad_norm": 7.988637447357178,
|
| 1626 |
+
"learning_rate": 2.861111111111111e-06,
|
| 1627 |
+
"loss": 0.0881,
|
| 1628 |
"step": 2080
|
| 1629 |
},
|
| 1630 |
{
|
| 1631 |
+
"epoch": 18.662192393736017,
|
| 1632 |
+
"grad_norm": 9.342594146728516,
|
| 1633 |
+
"learning_rate": 2.8214285714285718e-06,
|
| 1634 |
+
"loss": 0.0528,
|
| 1635 |
"step": 2090
|
| 1636 |
},
|
| 1637 |
{
|
| 1638 |
+
"epoch": 18.751677852348994,
|
| 1639 |
+
"grad_norm": 12.687505722045898,
|
| 1640 |
+
"learning_rate": 2.781746031746032e-06,
|
| 1641 |
+
"loss": 0.0711,
|
| 1642 |
"step": 2100
|
| 1643 |
},
|
| 1644 |
{
|
| 1645 |
+
"epoch": 18.841163310961967,
|
| 1646 |
+
"grad_norm": 7.692240238189697,
|
| 1647 |
+
"learning_rate": 2.7420634920634924e-06,
|
| 1648 |
+
"loss": 0.072,
|
| 1649 |
"step": 2110
|
| 1650 |
},
|
| 1651 |
{
|
| 1652 |
+
"epoch": 18.930648769574944,
|
| 1653 |
+
"grad_norm": 14.148133277893066,
|
| 1654 |
+
"learning_rate": 2.7023809523809523e-06,
|
| 1655 |
+
"loss": 0.0677,
|
| 1656 |
"step": 2120
|
| 1657 |
},
|
| 1658 |
{
|
| 1659 |
+
"epoch": 19.0,
|
| 1660 |
+
"eval_loss": 0.8003770709037781,
|
| 1661 |
+
"eval_macro_f1": 0.766772035108551,
|
| 1662 |
+
"eval_runtime": 25.3025,
|
| 1663 |
+
"eval_samples_per_second": 30.234,
|
| 1664 |
+
"eval_steps_per_second": 3.794,
|
| 1665 |
+
"step": 2128
|
| 1666 |
+
},
|
| 1667 |
+
{
|
| 1668 |
+
"epoch": 19.017897091722595,
|
| 1669 |
+
"grad_norm": 17.935680389404297,
|
| 1670 |
+
"learning_rate": 2.662698412698413e-06,
|
| 1671 |
+
"loss": 0.0416,
|
| 1672 |
"step": 2130
|
| 1673 |
},
|
| 1674 |
{
|
| 1675 |
+
"epoch": 19.107382550335572,
|
| 1676 |
+
"grad_norm": 7.1221537590026855,
|
| 1677 |
+
"learning_rate": 2.6230158730158734e-06,
|
| 1678 |
+
"loss": 0.1003,
|
| 1679 |
"step": 2140
|
| 1680 |
},
|
| 1681 |
{
|
| 1682 |
+
"epoch": 19.196868008948545,
|
| 1683 |
+
"grad_norm": 17.375965118408203,
|
| 1684 |
+
"learning_rate": 2.5833333333333337e-06,
|
| 1685 |
+
"loss": 0.0854,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1686 |
"step": 2150
|
| 1687 |
},
|
| 1688 |
{
|
| 1689 |
+
"epoch": 19.286353467561522,
|
| 1690 |
+
"grad_norm": 13.114810943603516,
|
| 1691 |
+
"learning_rate": 2.5436507936507936e-06,
|
| 1692 |
+
"loss": 0.0759,
|
| 1693 |
"step": 2160
|
| 1694 |
},
|
| 1695 |
{
|
| 1696 |
+
"epoch": 19.375838926174495,
|
| 1697 |
+
"grad_norm": 20.650806427001953,
|
| 1698 |
+
"learning_rate": 2.503968253968254e-06,
|
| 1699 |
+
"loss": 0.0576,
|
| 1700 |
"step": 2170
|
| 1701 |
},
|
| 1702 |
{
|
| 1703 |
+
"epoch": 19.465324384787472,
|
| 1704 |
+
"grad_norm": 1.7908034324645996,
|
| 1705 |
+
"learning_rate": 2.4642857142857147e-06,
|
| 1706 |
+
"loss": 0.0314,
|
| 1707 |
"step": 2180
|
| 1708 |
},
|
| 1709 |
{
|
| 1710 |
+
"epoch": 19.55480984340045,
|
| 1711 |
+
"grad_norm": 15.814742088317871,
|
| 1712 |
+
"learning_rate": 2.4246031746031746e-06,
|
| 1713 |
+
"loss": 0.0754,
|
| 1714 |
"step": 2190
|
| 1715 |
},
|
| 1716 |
{
|
| 1717 |
+
"epoch": 19.644295302013422,
|
| 1718 |
+
"grad_norm": 18.996606826782227,
|
| 1719 |
+
"learning_rate": 2.3849206349206354e-06,
|
| 1720 |
+
"loss": 0.0502,
|
| 1721 |
"step": 2200
|
| 1722 |
},
|
| 1723 |
{
|
| 1724 |
+
"epoch": 19.7337807606264,
|
| 1725 |
+
"grad_norm": 24.4049015045166,
|
| 1726 |
+
"learning_rate": 2.3452380952380953e-06,
|
| 1727 |
+
"loss": 0.0502,
|
| 1728 |
"step": 2210
|
| 1729 |
},
|
| 1730 |
{
|
| 1731 |
+
"epoch": 19.823266219239372,
|
| 1732 |
+
"grad_norm": 6.1143879890441895,
|
| 1733 |
+
"learning_rate": 2.305555555555556e-06,
|
| 1734 |
+
"loss": 0.054,
|
| 1735 |
"step": 2220
|
| 1736 |
},
|
| 1737 |
{
|
| 1738 |
+
"epoch": 19.91275167785235,
|
| 1739 |
+
"grad_norm": 12.98304557800293,
|
| 1740 |
+
"learning_rate": 2.265873015873016e-06,
|
| 1741 |
+
"loss": 0.0737,
|
| 1742 |
"step": 2230
|
| 1743 |
},
|
| 1744 |
{
|
| 1745 |
+
"epoch": 20.0,
|
| 1746 |
+
"grad_norm": 0.3279534876346588,
|
| 1747 |
+
"learning_rate": 2.2261904761904763e-06,
|
| 1748 |
+
"loss": 0.0353,
|
| 1749 |
"step": 2240
|
| 1750 |
},
|
| 1751 |
{
|
| 1752 |
+
"epoch": 20.0,
|
| 1753 |
+
"eval_loss": 0.8695369958877563,
|
| 1754 |
+
"eval_macro_f1": 0.7699478748997595,
|
| 1755 |
+
"eval_runtime": 25.1606,
|
| 1756 |
+
"eval_samples_per_second": 30.405,
|
| 1757 |
+
"eval_steps_per_second": 3.815,
|
| 1758 |
+
"step": 2240
|
| 1759 |
},
|
| 1760 |
{
|
| 1761 |
+
"epoch": 20.089485458612977,
|
| 1762 |
+
"grad_norm": 5.161200523376465,
|
| 1763 |
+
"learning_rate": 2.1865079365079366e-06,
|
| 1764 |
+
"loss": 0.0489,
|
| 1765 |
+
"step": 2250
|
| 1766 |
},
|
| 1767 |
{
|
| 1768 |
+
"epoch": 20.17897091722595,
|
| 1769 |
+
"grad_norm": 24.046892166137695,
|
| 1770 |
+
"learning_rate": 2.146825396825397e-06,
|
| 1771 |
+
"loss": 0.0887,
|
|
|
|
|
|
|
| 1772 |
"step": 2260
|
| 1773 |
},
|
| 1774 |
{
|
| 1775 |
+
"epoch": 20.268456375838927,
|
| 1776 |
+
"grad_norm": 3.9411873817443848,
|
| 1777 |
+
"learning_rate": 2.1071428571428572e-06,
|
| 1778 |
+
"loss": 0.0804,
|
| 1779 |
"step": 2270
|
| 1780 |
},
|
| 1781 |
{
|
| 1782 |
+
"epoch": 20.3579418344519,
|
| 1783 |
+
"grad_norm": 12.20919418334961,
|
| 1784 |
+
"learning_rate": 2.0674603174603176e-06,
|
| 1785 |
+
"loss": 0.0318,
|
| 1786 |
"step": 2280
|
| 1787 |
},
|
| 1788 |
{
|
| 1789 |
+
"epoch": 20.447427293064877,
|
| 1790 |
+
"grad_norm": 5.021272659301758,
|
| 1791 |
+
"learning_rate": 2.027777777777778e-06,
|
| 1792 |
+
"loss": 0.0983,
|
| 1793 |
"step": 2290
|
| 1794 |
},
|
| 1795 |
{
|
| 1796 |
+
"epoch": 20.536912751677853,
|
| 1797 |
+
"grad_norm": 15.741971969604492,
|
| 1798 |
+
"learning_rate": 1.9880952380952382e-06,
|
| 1799 |
+
"loss": 0.0335,
|
| 1800 |
"step": 2300
|
| 1801 |
},
|
| 1802 |
{
|
| 1803 |
+
"epoch": 20.626398210290827,
|
| 1804 |
+
"grad_norm": 16.82331085205078,
|
| 1805 |
+
"learning_rate": 1.9484126984126985e-06,
|
| 1806 |
+
"loss": 0.0744,
|
| 1807 |
"step": 2310
|
| 1808 |
},
|
| 1809 |
{
|
| 1810 |
+
"epoch": 20.715883668903803,
|
| 1811 |
+
"grad_norm": 0.5343822240829468,
|
| 1812 |
+
"learning_rate": 1.908730158730159e-06,
|
| 1813 |
+
"loss": 0.0432,
|
| 1814 |
"step": 2320
|
| 1815 |
},
|
| 1816 |
{
|
| 1817 |
+
"epoch": 20.80536912751678,
|
| 1818 |
+
"grad_norm": 18.707128524780273,
|
| 1819 |
+
"learning_rate": 1.8690476190476192e-06,
|
| 1820 |
+
"loss": 0.0517,
|
| 1821 |
"step": 2330
|
| 1822 |
},
|
| 1823 |
{
|
| 1824 |
+
"epoch": 20.894854586129753,
|
| 1825 |
+
"grad_norm": 10.502820014953613,
|
| 1826 |
+
"learning_rate": 1.8293650793650793e-06,
|
| 1827 |
+
"loss": 0.0596,
|
| 1828 |
"step": 2340
|
| 1829 |
},
|
| 1830 |
{
|
| 1831 |
+
"epoch": 20.98434004474273,
|
| 1832 |
+
"grad_norm": 3.260993242263794,
|
| 1833 |
+
"learning_rate": 1.7896825396825399e-06,
|
| 1834 |
+
"loss": 0.0262,
|
| 1835 |
"step": 2350
|
| 1836 |
},
|
| 1837 |
{
|
| 1838 |
+
"epoch": 21.0,
|
| 1839 |
+
"eval_loss": 0.8509567975997925,
|
| 1840 |
+
"eval_macro_f1": 0.7710241615578796,
|
| 1841 |
+
"eval_runtime": 21.2423,
|
| 1842 |
+
"eval_samples_per_second": 36.013,
|
| 1843 |
+
"eval_steps_per_second": 4.519,
|
| 1844 |
+
"step": 2352
|
| 1845 |
+
},
|
| 1846 |
+
{
|
| 1847 |
+
"epoch": 21.07158836689038,
|
| 1848 |
+
"grad_norm": 21.054967880249023,
|
| 1849 |
+
"learning_rate": 1.75e-06,
|
| 1850 |
+
"loss": 0.0623,
|
| 1851 |
"step": 2360
|
| 1852 |
},
|
| 1853 |
{
|
| 1854 |
+
"epoch": 21.161073825503355,
|
| 1855 |
+
"grad_norm": 7.076012134552002,
|
| 1856 |
+
"learning_rate": 1.7103174603174605e-06,
|
| 1857 |
+
"loss": 0.0567,
|
| 1858 |
"step": 2370
|
| 1859 |
},
|
| 1860 |
{
|
| 1861 |
+
"epoch": 21.25055928411633,
|
| 1862 |
+
"grad_norm": 9.261219024658203,
|
| 1863 |
+
"learning_rate": 1.6706349206349206e-06,
|
| 1864 |
+
"loss": 0.0805,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1865 |
"step": 2380
|
| 1866 |
},
|
| 1867 |
{
|
| 1868 |
+
"epoch": 21.340044742729308,
|
| 1869 |
+
"grad_norm": 21.940967559814453,
|
| 1870 |
+
"learning_rate": 1.6309523809523812e-06,
|
| 1871 |
+
"loss": 0.062,
|
| 1872 |
"step": 2390
|
| 1873 |
},
|
| 1874 |
{
|
| 1875 |
+
"epoch": 21.42953020134228,
|
| 1876 |
+
"grad_norm": 0.5533654093742371,
|
| 1877 |
+
"learning_rate": 1.5912698412698413e-06,
|
| 1878 |
+
"loss": 0.0443,
|
| 1879 |
"step": 2400
|
| 1880 |
},
|
| 1881 |
{
|
| 1882 |
+
"epoch": 21.519015659955258,
|
| 1883 |
+
"grad_norm": 1.7748634815216064,
|
| 1884 |
+
"learning_rate": 1.5515873015873018e-06,
|
| 1885 |
+
"loss": 0.0465,
|
| 1886 |
"step": 2410
|
| 1887 |
},
|
| 1888 |
{
|
| 1889 |
+
"epoch": 21.60850111856823,
|
| 1890 |
+
"grad_norm": 14.389286994934082,
|
| 1891 |
+
"learning_rate": 1.511904761904762e-06,
|
| 1892 |
+
"loss": 0.0426,
|
| 1893 |
"step": 2420
|
| 1894 |
},
|
| 1895 |
{
|
| 1896 |
+
"epoch": 21.697986577181208,
|
| 1897 |
+
"grad_norm": 0.1624564379453659,
|
| 1898 |
+
"learning_rate": 1.4722222222222225e-06,
|
| 1899 |
+
"loss": 0.0399,
|
| 1900 |
"step": 2430
|
| 1901 |
},
|
| 1902 |
{
|
| 1903 |
+
"epoch": 21.787472035794185,
|
| 1904 |
+
"grad_norm": 16.362260818481445,
|
| 1905 |
+
"learning_rate": 1.4325396825396826e-06,
|
| 1906 |
+
"loss": 0.0737,
|
| 1907 |
"step": 2440
|
| 1908 |
},
|
| 1909 |
{
|
| 1910 |
+
"epoch": 21.876957494407158,
|
| 1911 |
+
"grad_norm": 9.44295883178711,
|
| 1912 |
+
"learning_rate": 1.392857142857143e-06,
|
| 1913 |
+
"loss": 0.1062,
|
| 1914 |
"step": 2450
|
| 1915 |
},
|
| 1916 |
{
|
| 1917 |
+
"epoch": 21.966442953020135,
|
| 1918 |
+
"grad_norm": 12.541874885559082,
|
| 1919 |
+
"learning_rate": 1.3531746031746033e-06,
|
| 1920 |
+
"loss": 0.0628,
|
| 1921 |
"step": 2460
|
| 1922 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1923 |
{
|
| 1924 |
"epoch": 22.0,
|
| 1925 |
+
"eval_loss": 0.8052472472190857,
|
| 1926 |
+
"eval_macro_f1": 0.7966146756469337,
|
| 1927 |
+
"eval_runtime": 25.2623,
|
| 1928 |
+
"eval_samples_per_second": 30.282,
|
| 1929 |
+
"eval_steps_per_second": 3.8,
|
| 1930 |
+
"step": 2464
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1931 |
}
|
| 1932 |
],
|
| 1933 |
"logging_steps": 10,
|
|
|
|
| 1942 |
"should_evaluate": false,
|
| 1943 |
"should_log": false,
|
| 1944 |
"should_save": true,
|
| 1945 |
+
"should_training_stop": false
|
| 1946 |
},
|
| 1947 |
"attributes": {}
|
| 1948 |
}
|
| 1949 |
},
|
| 1950 |
+
"total_flos": 2.8247393356405015e+19,
|
| 1951 |
"train_batch_size": 8,
|
| 1952 |
"trial_name": null,
|
| 1953 |
"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
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a078ba0a17e83a8beba9596516fb7006898a83ad2c4a3872eeadc390ad508067
|
| 3 |
+
size 5713
|