Commit
•
ddf33d4
1
Parent(s):
a032026
Training in progress, epoch 37, checkpoint
Browse files
checkpoint-2997/model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 592318676
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d816196cf19cf2cab16c490d0269d089119364ef42c11c1cb59a3d890f9ce756
|
| 3 |
size 592318676
|
checkpoint-2997/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1014645498
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c9e0c4f29e1648d85456c524b6fd2f0a66a138c70519d695c16cb6dd2891895b
|
| 3 |
size 1014645498
|
checkpoint-2997/rng_state.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14244
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7b1e95b17cfac84709440be5a75a4819d11655df5f40709fe5572f75c1a6d1b7
|
| 3 |
size 14244
|
checkpoint-2997/trainer_state.json
CHANGED
|
@@ -11,1478 +11,1478 @@
|
|
| 11 |
{
|
| 12 |
"epoch": 1.0,
|
| 13 |
"eval_B": {
|
| 14 |
-
"f1-score": 0.
|
| 15 |
-
"precision": 0.
|
| 16 |
-
"recall": 0.
|
| 17 |
-
"support":
|
| 18 |
},
|
| 19 |
"eval_I": {
|
| 20 |
-
"f1-score": 0.
|
| 21 |
-
"precision": 0.
|
| 22 |
-
"recall": 0.
|
| 23 |
-
"support":
|
| 24 |
},
|
| 25 |
"eval_O": {
|
| 26 |
-
"f1-score": 0.
|
| 27 |
-
"precision": 0.
|
| 28 |
-
"recall": 0.
|
| 29 |
-
"support":
|
| 30 |
},
|
| 31 |
-
"eval_accuracy": 0.
|
| 32 |
-
"eval_loss": 0.
|
| 33 |
"eval_macro avg": {
|
| 34 |
-
"f1-score": 0.
|
| 35 |
-
"precision": 0.
|
| 36 |
-
"recall": 0.
|
| 37 |
-
"support":
|
| 38 |
-
},
|
| 39 |
-
"eval_runtime": 4.
|
| 40 |
-
"eval_samples_per_second": 17.
|
| 41 |
-
"eval_steps_per_second": 2.
|
| 42 |
"eval_weighted avg": {
|
| 43 |
-
"f1-score": 0.
|
| 44 |
-
"precision": 0.
|
| 45 |
-
"recall": 0.
|
| 46 |
-
"support":
|
| 47 |
},
|
| 48 |
"step": 81
|
| 49 |
},
|
| 50 |
{
|
| 51 |
"epoch": 2.0,
|
| 52 |
"eval_B": {
|
| 53 |
-
"f1-score": 0.
|
| 54 |
-
"precision": 0.
|
| 55 |
-
"recall": 0.
|
| 56 |
-
"support":
|
| 57 |
},
|
| 58 |
"eval_I": {
|
| 59 |
-
"f1-score": 0.
|
| 60 |
-
"precision": 0.
|
| 61 |
-
"recall": 0.
|
| 62 |
-
"support":
|
| 63 |
},
|
| 64 |
"eval_O": {
|
| 65 |
-
"f1-score": 0.
|
| 66 |
-
"precision": 0.
|
| 67 |
-
"recall": 0.
|
| 68 |
-
"support":
|
| 69 |
},
|
| 70 |
-
"eval_accuracy": 0.
|
| 71 |
-
"eval_loss": 0.
|
| 72 |
"eval_macro avg": {
|
| 73 |
-
"f1-score": 0.
|
| 74 |
-
"precision": 0.
|
| 75 |
-
"recall": 0.
|
| 76 |
-
"support":
|
| 77 |
-
},
|
| 78 |
-
"eval_runtime": 4.
|
| 79 |
-
"eval_samples_per_second": 17.
|
| 80 |
-
"eval_steps_per_second": 2.
|
| 81 |
"eval_weighted avg": {
|
| 82 |
-
"f1-score": 0.
|
| 83 |
-
"precision": 0.
|
| 84 |
-
"recall": 0.
|
| 85 |
-
"support":
|
| 86 |
},
|
| 87 |
"step": 162
|
| 88 |
},
|
| 89 |
{
|
| 90 |
"epoch": 3.0,
|
| 91 |
"eval_B": {
|
| 92 |
-
"f1-score": 0.
|
| 93 |
-
"precision": 0.
|
| 94 |
-
"recall": 0.
|
| 95 |
-
"support":
|
| 96 |
},
|
| 97 |
"eval_I": {
|
| 98 |
-
"f1-score": 0.
|
| 99 |
-
"precision": 0.
|
| 100 |
-
"recall": 0.
|
| 101 |
-
"support":
|
| 102 |
},
|
| 103 |
"eval_O": {
|
| 104 |
-
"f1-score": 0.
|
| 105 |
-
"precision": 0.
|
| 106 |
-
"recall": 0.
|
| 107 |
-
"support":
|
| 108 |
},
|
| 109 |
-
"eval_accuracy": 0.
|
| 110 |
-
"eval_loss": 0.
|
| 111 |
"eval_macro avg": {
|
| 112 |
-
"f1-score": 0.
|
| 113 |
-
"precision": 0.
|
| 114 |
-
"recall": 0.
|
| 115 |
-
"support":
|
| 116 |
-
},
|
| 117 |
-
"eval_runtime": 4.
|
| 118 |
-
"eval_samples_per_second": 17.
|
| 119 |
-
"eval_steps_per_second": 2.
|
| 120 |
"eval_weighted avg": {
|
| 121 |
-
"f1-score": 0.
|
| 122 |
-
"precision": 0.
|
| 123 |
-
"recall": 0.
|
| 124 |
-
"support":
|
| 125 |
},
|
| 126 |
"step": 243
|
| 127 |
},
|
| 128 |
{
|
| 129 |
"epoch": 4.0,
|
| 130 |
"eval_B": {
|
| 131 |
-
"f1-score": 0.
|
| 132 |
-
"precision": 0.
|
| 133 |
-
"recall": 0.
|
| 134 |
-
"support":
|
| 135 |
},
|
| 136 |
"eval_I": {
|
| 137 |
-
"f1-score": 0.
|
| 138 |
-
"precision": 0.
|
| 139 |
-
"recall": 0.
|
| 140 |
-
"support":
|
| 141 |
},
|
| 142 |
"eval_O": {
|
| 143 |
-
"f1-score": 0.
|
| 144 |
-
"precision": 0.
|
| 145 |
-
"recall": 0.
|
| 146 |
-
"support":
|
| 147 |
},
|
| 148 |
-
"eval_accuracy": 0.
|
| 149 |
-
"eval_loss": 0.
|
| 150 |
"eval_macro avg": {
|
| 151 |
-
"f1-score": 0.
|
| 152 |
-
"precision": 0.
|
| 153 |
-
"recall": 0.
|
| 154 |
-
"support":
|
| 155 |
-
},
|
| 156 |
-
"eval_runtime": 4.
|
| 157 |
-
"eval_samples_per_second": 17.
|
| 158 |
-
"eval_steps_per_second": 2.
|
| 159 |
"eval_weighted avg": {
|
| 160 |
-
"f1-score": 0.
|
| 161 |
-
"precision": 0.
|
| 162 |
-
"recall": 0.
|
| 163 |
-
"support":
|
| 164 |
},
|
| 165 |
"step": 324
|
| 166 |
},
|
| 167 |
{
|
| 168 |
"epoch": 5.0,
|
| 169 |
"eval_B": {
|
| 170 |
-
"f1-score": 0.
|
| 171 |
-
"precision": 0.
|
| 172 |
-
"recall": 0.
|
| 173 |
-
"support":
|
| 174 |
},
|
| 175 |
"eval_I": {
|
| 176 |
-
"f1-score": 0.
|
| 177 |
-
"precision": 0.
|
| 178 |
-
"recall": 0.
|
| 179 |
-
"support":
|
| 180 |
},
|
| 181 |
"eval_O": {
|
| 182 |
-
"f1-score": 0.
|
| 183 |
-
"precision": 0.
|
| 184 |
-
"recall": 0.
|
| 185 |
-
"support":
|
| 186 |
},
|
| 187 |
-
"eval_accuracy": 0.
|
| 188 |
-
"eval_loss": 0.
|
| 189 |
"eval_macro avg": {
|
| 190 |
-
"f1-score": 0.
|
| 191 |
-
"precision": 0.
|
| 192 |
-
"recall": 0.
|
| 193 |
-
"support":
|
| 194 |
-
},
|
| 195 |
-
"eval_runtime": 4.
|
| 196 |
-
"eval_samples_per_second": 17.
|
| 197 |
-
"eval_steps_per_second": 2.
|
| 198 |
"eval_weighted avg": {
|
| 199 |
-
"f1-score": 0.
|
| 200 |
-
"precision": 0.
|
| 201 |
-
"recall": 0.
|
| 202 |
-
"support":
|
| 203 |
},
|
| 204 |
"step": 405
|
| 205 |
},
|
| 206 |
{
|
| 207 |
"epoch": 6.0,
|
| 208 |
"eval_B": {
|
| 209 |
-
"f1-score": 0.
|
| 210 |
-
"precision": 0.
|
| 211 |
-
"recall": 0.
|
| 212 |
-
"support":
|
| 213 |
},
|
| 214 |
"eval_I": {
|
| 215 |
-
"f1-score": 0.
|
| 216 |
-
"precision": 0.
|
| 217 |
-
"recall": 0.
|
| 218 |
-
"support":
|
| 219 |
},
|
| 220 |
"eval_O": {
|
| 221 |
-
"f1-score": 0.
|
| 222 |
-
"precision": 0.
|
| 223 |
-
"recall": 0.
|
| 224 |
-
"support":
|
| 225 |
},
|
| 226 |
-
"eval_accuracy": 0.
|
| 227 |
-
"eval_loss": 0.
|
| 228 |
"eval_macro avg": {
|
| 229 |
-
"f1-score": 0.
|
| 230 |
-
"precision": 0.
|
| 231 |
-
"recall": 0.
|
| 232 |
-
"support":
|
| 233 |
-
},
|
| 234 |
-
"eval_runtime": 4.
|
| 235 |
-
"eval_samples_per_second": 17.
|
| 236 |
-
"eval_steps_per_second": 2.
|
| 237 |
"eval_weighted avg": {
|
| 238 |
-
"f1-score": 0.
|
| 239 |
-
"precision": 0.
|
| 240 |
-
"recall": 0.
|
| 241 |
-
"support":
|
| 242 |
},
|
| 243 |
"step": 486
|
| 244 |
},
|
| 245 |
{
|
| 246 |
"epoch": 6.17,
|
| 247 |
-
"grad_norm":
|
| 248 |
"learning_rate": 1.7530864197530865e-05,
|
| 249 |
-
"loss": 0.
|
| 250 |
"step": 500
|
| 251 |
},
|
| 252 |
{
|
| 253 |
"epoch": 7.0,
|
| 254 |
"eval_B": {
|
| 255 |
-
"f1-score": 0.
|
| 256 |
-
"precision": 0.
|
| 257 |
-
"recall": 0.
|
| 258 |
-
"support":
|
| 259 |
},
|
| 260 |
"eval_I": {
|
| 261 |
-
"f1-score": 0.
|
| 262 |
-
"precision": 0.
|
| 263 |
-
"recall": 0.
|
| 264 |
-
"support":
|
| 265 |
},
|
| 266 |
"eval_O": {
|
| 267 |
-
"f1-score": 0.
|
| 268 |
-
"precision": 0.
|
| 269 |
-
"recall": 0.
|
| 270 |
-
"support":
|
| 271 |
},
|
| 272 |
-
"eval_accuracy": 0.
|
| 273 |
-
"eval_loss": 0.
|
| 274 |
"eval_macro avg": {
|
| 275 |
-
"f1-score": 0.
|
| 276 |
-
"precision": 0.
|
| 277 |
-
"recall": 0.
|
| 278 |
-
"support":
|
| 279 |
-
},
|
| 280 |
-
"eval_runtime": 4.
|
| 281 |
-
"eval_samples_per_second": 17.
|
| 282 |
-
"eval_steps_per_second": 2.
|
| 283 |
"eval_weighted avg": {
|
| 284 |
-
"f1-score": 0.
|
| 285 |
-
"precision": 0.
|
| 286 |
-
"recall": 0.
|
| 287 |
-
"support":
|
| 288 |
},
|
| 289 |
"step": 567
|
| 290 |
},
|
| 291 |
{
|
| 292 |
"epoch": 8.0,
|
| 293 |
"eval_B": {
|
| 294 |
-
"f1-score": 0.
|
| 295 |
-
"precision": 0.
|
| 296 |
-
"recall": 0.
|
| 297 |
-
"support":
|
| 298 |
},
|
| 299 |
"eval_I": {
|
| 300 |
-
"f1-score": 0.
|
| 301 |
-
"precision": 0.
|
| 302 |
-
"recall": 0.
|
| 303 |
-
"support":
|
| 304 |
},
|
| 305 |
"eval_O": {
|
| 306 |
-
"f1-score": 0.
|
| 307 |
-
"precision": 0.
|
| 308 |
-
"recall": 0.
|
| 309 |
-
"support":
|
| 310 |
},
|
| 311 |
-
"eval_accuracy": 0.
|
| 312 |
-
"eval_loss": 0.
|
| 313 |
"eval_macro avg": {
|
| 314 |
-
"f1-score": 0.
|
| 315 |
-
"precision": 0.
|
| 316 |
-
"recall": 0.
|
| 317 |
-
"support":
|
| 318 |
-
},
|
| 319 |
-
"eval_runtime": 4.
|
| 320 |
-
"eval_samples_per_second": 17.
|
| 321 |
-
"eval_steps_per_second": 2.
|
| 322 |
"eval_weighted avg": {
|
| 323 |
-
"f1-score": 0.
|
| 324 |
-
"precision": 0.
|
| 325 |
-
"recall": 0.
|
| 326 |
-
"support":
|
| 327 |
},
|
| 328 |
"step": 648
|
| 329 |
},
|
| 330 |
{
|
| 331 |
"epoch": 9.0,
|
| 332 |
"eval_B": {
|
| 333 |
-
"f1-score": 0.
|
| 334 |
-
"precision": 0.
|
| 335 |
-
"recall": 0.
|
| 336 |
-
"support":
|
| 337 |
},
|
| 338 |
"eval_I": {
|
| 339 |
-
"f1-score": 0.
|
| 340 |
-
"precision": 0.
|
| 341 |
-
"recall": 0.
|
| 342 |
-
"support":
|
| 343 |
},
|
| 344 |
"eval_O": {
|
| 345 |
-
"f1-score": 0.
|
| 346 |
-
"precision": 0.
|
| 347 |
-
"recall": 0.
|
| 348 |
-
"support":
|
| 349 |
},
|
| 350 |
-
"eval_accuracy": 0.
|
| 351 |
-
"eval_loss": 0.
|
| 352 |
"eval_macro avg": {
|
| 353 |
-
"f1-score": 0.
|
| 354 |
-
"precision": 0.
|
| 355 |
-
"recall": 0.
|
| 356 |
-
"support":
|
| 357 |
-
},
|
| 358 |
-
"eval_runtime": 4.
|
| 359 |
-
"eval_samples_per_second": 17.
|
| 360 |
-
"eval_steps_per_second": 2.
|
| 361 |
"eval_weighted avg": {
|
| 362 |
-
"f1-score": 0.
|
| 363 |
-
"precision": 0.
|
| 364 |
-
"recall": 0.
|
| 365 |
-
"support":
|
| 366 |
},
|
| 367 |
"step": 729
|
| 368 |
},
|
| 369 |
{
|
| 370 |
"epoch": 10.0,
|
| 371 |
"eval_B": {
|
| 372 |
-
"f1-score": 0.
|
| 373 |
-
"precision": 0.
|
| 374 |
-
"recall": 0.
|
| 375 |
-
"support":
|
| 376 |
},
|
| 377 |
"eval_I": {
|
| 378 |
-
"f1-score": 0.
|
| 379 |
-
"precision": 0.
|
| 380 |
-
"recall": 0.
|
| 381 |
-
"support":
|
| 382 |
},
|
| 383 |
"eval_O": {
|
| 384 |
-
"f1-score": 0.
|
| 385 |
-
"precision": 0.
|
| 386 |
-
"recall": 0.
|
| 387 |
-
"support":
|
| 388 |
},
|
| 389 |
-
"eval_accuracy": 0.
|
| 390 |
-
"eval_loss": 0.
|
| 391 |
"eval_macro avg": {
|
| 392 |
-
"f1-score": 0.
|
| 393 |
-
"precision": 0.
|
| 394 |
-
"recall": 0.
|
| 395 |
-
"support":
|
| 396 |
-
},
|
| 397 |
-
"eval_runtime": 4.
|
| 398 |
-
"eval_samples_per_second": 17.
|
| 399 |
-
"eval_steps_per_second": 2.
|
| 400 |
"eval_weighted avg": {
|
| 401 |
-
"f1-score": 0.
|
| 402 |
-
"precision": 0.
|
| 403 |
-
"recall": 0.
|
| 404 |
-
"support":
|
| 405 |
},
|
| 406 |
"step": 810
|
| 407 |
},
|
| 408 |
{
|
| 409 |
"epoch": 11.0,
|
| 410 |
"eval_B": {
|
| 411 |
-
"f1-score": 0.
|
| 412 |
-
"precision": 0.
|
| 413 |
-
"recall": 0.
|
| 414 |
-
"support":
|
| 415 |
},
|
| 416 |
"eval_I": {
|
| 417 |
-
"f1-score": 0.
|
| 418 |
-
"precision": 0.
|
| 419 |
-
"recall": 0.
|
| 420 |
-
"support":
|
| 421 |
},
|
| 422 |
"eval_O": {
|
| 423 |
-
"f1-score": 0.
|
| 424 |
-
"precision": 0.
|
| 425 |
-
"recall": 0.
|
| 426 |
-
"support":
|
| 427 |
},
|
| 428 |
-
"eval_accuracy": 0.
|
| 429 |
-
"eval_loss": 0.
|
| 430 |
"eval_macro avg": {
|
| 431 |
-
"f1-score": 0.
|
| 432 |
-
"precision": 0.
|
| 433 |
-
"recall": 0.
|
| 434 |
-
"support":
|
| 435 |
-
},
|
| 436 |
-
"eval_runtime": 4.
|
| 437 |
-
"eval_samples_per_second": 17.
|
| 438 |
-
"eval_steps_per_second": 2.
|
| 439 |
"eval_weighted avg": {
|
| 440 |
-
"f1-score": 0.
|
| 441 |
-
"precision": 0.
|
| 442 |
-
"recall": 0.
|
| 443 |
-
"support":
|
| 444 |
},
|
| 445 |
"step": 891
|
| 446 |
},
|
| 447 |
{
|
| 448 |
"epoch": 12.0,
|
| 449 |
"eval_B": {
|
| 450 |
-
"f1-score": 0.
|
| 451 |
-
"precision": 0.
|
| 452 |
-
"recall": 0.
|
| 453 |
-
"support":
|
| 454 |
},
|
| 455 |
"eval_I": {
|
| 456 |
-
"f1-score": 0.
|
| 457 |
-
"precision": 0.
|
| 458 |
-
"recall": 0.
|
| 459 |
-
"support":
|
| 460 |
},
|
| 461 |
"eval_O": {
|
| 462 |
-
"f1-score": 0.
|
| 463 |
-
"precision": 0.
|
| 464 |
-
"recall": 0.
|
| 465 |
-
"support":
|
| 466 |
},
|
| 467 |
-
"eval_accuracy": 0.
|
| 468 |
-
"eval_loss": 0.
|
| 469 |
"eval_macro avg": {
|
| 470 |
-
"f1-score": 0.
|
| 471 |
-
"precision": 0.
|
| 472 |
-
"recall": 0.
|
| 473 |
-
"support":
|
| 474 |
-
},
|
| 475 |
-
"eval_runtime": 4.
|
| 476 |
-
"eval_samples_per_second": 17.
|
| 477 |
-
"eval_steps_per_second": 2.
|
| 478 |
"eval_weighted avg": {
|
| 479 |
-
"f1-score": 0.
|
| 480 |
-
"precision": 0.
|
| 481 |
-
"recall": 0.
|
| 482 |
-
"support":
|
| 483 |
},
|
| 484 |
"step": 972
|
| 485 |
},
|
| 486 |
{
|
| 487 |
"epoch": 12.35,
|
| 488 |
-
"grad_norm": 0.
|
| 489 |
"learning_rate": 1.506172839506173e-05,
|
| 490 |
-
"loss": 0.
|
| 491 |
"step": 1000
|
| 492 |
},
|
| 493 |
{
|
| 494 |
"epoch": 13.0,
|
| 495 |
"eval_B": {
|
| 496 |
-
"f1-score": 0.
|
| 497 |
-
"precision": 0.
|
| 498 |
-
"recall": 0.
|
| 499 |
-
"support":
|
| 500 |
},
|
| 501 |
"eval_I": {
|
| 502 |
-
"f1-score": 0.
|
| 503 |
-
"precision": 0.
|
| 504 |
-
"recall": 0.
|
| 505 |
-
"support":
|
| 506 |
},
|
| 507 |
"eval_O": {
|
| 508 |
-
"f1-score": 0.
|
| 509 |
-
"precision": 0.
|
| 510 |
-
"recall": 0.
|
| 511 |
-
"support":
|
| 512 |
},
|
| 513 |
-
"eval_accuracy": 0.
|
| 514 |
-
"eval_loss": 0.
|
| 515 |
"eval_macro avg": {
|
| 516 |
-
"f1-score": 0.
|
| 517 |
-
"precision": 0.
|
| 518 |
-
"recall": 0.
|
| 519 |
-
"support":
|
| 520 |
-
},
|
| 521 |
-
"eval_runtime": 4.
|
| 522 |
-
"eval_samples_per_second": 17.
|
| 523 |
-
"eval_steps_per_second": 2.
|
| 524 |
"eval_weighted avg": {
|
| 525 |
-
"f1-score": 0.
|
| 526 |
-
"precision": 0.
|
| 527 |
-
"recall": 0.
|
| 528 |
-
"support":
|
| 529 |
},
|
| 530 |
"step": 1053
|
| 531 |
},
|
| 532 |
{
|
| 533 |
"epoch": 14.0,
|
| 534 |
"eval_B": {
|
| 535 |
-
"f1-score": 0.
|
| 536 |
-
"precision": 0.
|
| 537 |
-
"recall": 0.
|
| 538 |
-
"support":
|
| 539 |
},
|
| 540 |
"eval_I": {
|
| 541 |
-
"f1-score": 0.
|
| 542 |
-
"precision": 0.
|
| 543 |
-
"recall": 0.
|
| 544 |
-
"support":
|
| 545 |
},
|
| 546 |
"eval_O": {
|
| 547 |
-
"f1-score": 0.
|
| 548 |
-
"precision": 0.
|
| 549 |
-
"recall": 0.
|
| 550 |
-
"support":
|
| 551 |
},
|
| 552 |
-
"eval_accuracy": 0.
|
| 553 |
-
"eval_loss": 0.
|
| 554 |
"eval_macro avg": {
|
| 555 |
-
"f1-score": 0.
|
| 556 |
-
"precision": 0.
|
| 557 |
-
"recall": 0.
|
| 558 |
-
"support":
|
| 559 |
-
},
|
| 560 |
-
"eval_runtime": 4.
|
| 561 |
-
"eval_samples_per_second": 17.
|
| 562 |
-
"eval_steps_per_second": 2.
|
| 563 |
"eval_weighted avg": {
|
| 564 |
-
"f1-score": 0.
|
| 565 |
-
"precision": 0.
|
| 566 |
-
"recall": 0.
|
| 567 |
-
"support":
|
| 568 |
},
|
| 569 |
"step": 1134
|
| 570 |
},
|
| 571 |
{
|
| 572 |
"epoch": 15.0,
|
| 573 |
"eval_B": {
|
| 574 |
-
"f1-score": 0.
|
| 575 |
-
"precision": 0.
|
| 576 |
-
"recall": 0.
|
| 577 |
-
"support":
|
| 578 |
},
|
| 579 |
"eval_I": {
|
| 580 |
-
"f1-score": 0.
|
| 581 |
-
"precision": 0.
|
| 582 |
-
"recall": 0.
|
| 583 |
-
"support":
|
| 584 |
},
|
| 585 |
"eval_O": {
|
| 586 |
-
"f1-score": 0.
|
| 587 |
-
"precision": 0.
|
| 588 |
-
"recall": 0.
|
| 589 |
-
"support":
|
| 590 |
},
|
| 591 |
-
"eval_accuracy": 0.
|
| 592 |
-
"eval_loss": 0.
|
| 593 |
"eval_macro avg": {
|
| 594 |
-
"f1-score": 0.
|
| 595 |
-
"precision": 0.
|
| 596 |
-
"recall": 0.
|
| 597 |
-
"support":
|
| 598 |
-
},
|
| 599 |
-
"eval_runtime": 4.
|
| 600 |
-
"eval_samples_per_second": 17.
|
| 601 |
-
"eval_steps_per_second": 2.
|
| 602 |
"eval_weighted avg": {
|
| 603 |
-
"f1-score": 0.
|
| 604 |
-
"precision": 0.
|
| 605 |
-
"recall": 0.
|
| 606 |
-
"support":
|
| 607 |
},
|
| 608 |
"step": 1215
|
| 609 |
},
|
| 610 |
{
|
| 611 |
"epoch": 16.0,
|
| 612 |
"eval_B": {
|
| 613 |
-
"f1-score": 0.
|
| 614 |
-
"precision": 0.
|
| 615 |
-
"recall": 0.
|
| 616 |
-
"support":
|
| 617 |
},
|
| 618 |
"eval_I": {
|
| 619 |
-
"f1-score": 0.
|
| 620 |
-
"precision": 0.
|
| 621 |
-
"recall": 0.
|
| 622 |
-
"support":
|
| 623 |
},
|
| 624 |
"eval_O": {
|
| 625 |
-
"f1-score": 0.
|
| 626 |
-
"precision": 0.
|
| 627 |
-
"recall": 0.
|
| 628 |
-
"support":
|
| 629 |
},
|
| 630 |
-
"eval_accuracy": 0.
|
| 631 |
-
"eval_loss": 0.
|
| 632 |
"eval_macro avg": {
|
| 633 |
-
"f1-score": 0.
|
| 634 |
-
"precision": 0.
|
| 635 |
-
"recall": 0.
|
| 636 |
-
"support":
|
| 637 |
-
},
|
| 638 |
-
"eval_runtime": 4.
|
| 639 |
-
"eval_samples_per_second": 17.
|
| 640 |
-
"eval_steps_per_second": 2.
|
| 641 |
"eval_weighted avg": {
|
| 642 |
-
"f1-score": 0.
|
| 643 |
-
"precision": 0.
|
| 644 |
-
"recall": 0.
|
| 645 |
-
"support":
|
| 646 |
},
|
| 647 |
"step": 1296
|
| 648 |
},
|
| 649 |
{
|
| 650 |
"epoch": 17.0,
|
| 651 |
"eval_B": {
|
| 652 |
-
"f1-score": 0.
|
| 653 |
-
"precision": 0.
|
| 654 |
-
"recall": 0.
|
| 655 |
-
"support":
|
| 656 |
},
|
| 657 |
"eval_I": {
|
| 658 |
-
"f1-score": 0.
|
| 659 |
-
"precision": 0.
|
| 660 |
-
"recall": 0.
|
| 661 |
-
"support":
|
| 662 |
},
|
| 663 |
"eval_O": {
|
| 664 |
-
"f1-score": 0.
|
| 665 |
-
"precision": 0.
|
| 666 |
-
"recall": 0.
|
| 667 |
-
"support":
|
| 668 |
},
|
| 669 |
-
"eval_accuracy": 0.
|
| 670 |
-
"eval_loss": 0.
|
| 671 |
"eval_macro avg": {
|
| 672 |
-
"f1-score": 0.
|
| 673 |
-
"precision": 0.
|
| 674 |
-
"recall": 0.
|
| 675 |
-
"support":
|
| 676 |
-
},
|
| 677 |
-
"eval_runtime": 4.
|
| 678 |
-
"eval_samples_per_second": 17.
|
| 679 |
-
"eval_steps_per_second": 2.
|
| 680 |
"eval_weighted avg": {
|
| 681 |
-
"f1-score": 0.
|
| 682 |
-
"precision": 0.
|
| 683 |
-
"recall": 0.
|
| 684 |
-
"support":
|
| 685 |
},
|
| 686 |
"step": 1377
|
| 687 |
},
|
| 688 |
{
|
| 689 |
"epoch": 18.0,
|
| 690 |
"eval_B": {
|
| 691 |
-
"f1-score": 0.
|
| 692 |
-
"precision": 0.
|
| 693 |
-
"recall": 0.
|
| 694 |
-
"support":
|
| 695 |
},
|
| 696 |
"eval_I": {
|
| 697 |
-
"f1-score": 0.
|
| 698 |
-
"precision": 0.
|
| 699 |
-
"recall": 0.
|
| 700 |
-
"support":
|
| 701 |
},
|
| 702 |
"eval_O": {
|
| 703 |
-
"f1-score": 0.
|
| 704 |
-
"precision": 0.
|
| 705 |
-
"recall": 0.
|
| 706 |
-
"support":
|
| 707 |
},
|
| 708 |
-
"eval_accuracy": 0.
|
| 709 |
-
"eval_loss": 0.
|
| 710 |
"eval_macro avg": {
|
| 711 |
-
"f1-score": 0.
|
| 712 |
-
"precision": 0.
|
| 713 |
-
"recall": 0.
|
| 714 |
-
"support":
|
| 715 |
-
},
|
| 716 |
-
"eval_runtime": 4.
|
| 717 |
-
"eval_samples_per_second": 17.
|
| 718 |
-
"eval_steps_per_second": 2.
|
| 719 |
"eval_weighted avg": {
|
| 720 |
-
"f1-score": 0.
|
| 721 |
-
"precision": 0.
|
| 722 |
-
"recall": 0.
|
| 723 |
-
"support":
|
| 724 |
},
|
| 725 |
"step": 1458
|
| 726 |
},
|
| 727 |
{
|
| 728 |
"epoch": 18.52,
|
| 729 |
-
"grad_norm":
|
| 730 |
"learning_rate": 1.2592592592592593e-05,
|
| 731 |
-
"loss": 0.
|
| 732 |
"step": 1500
|
| 733 |
},
|
| 734 |
{
|
| 735 |
"epoch": 19.0,
|
| 736 |
"eval_B": {
|
| 737 |
-
"f1-score": 0.
|
| 738 |
-
"precision": 0.
|
| 739 |
-
"recall": 0.
|
| 740 |
-
"support":
|
| 741 |
},
|
| 742 |
"eval_I": {
|
| 743 |
-
"f1-score": 0.
|
| 744 |
-
"precision": 0.
|
| 745 |
-
"recall": 0.
|
| 746 |
-
"support":
|
| 747 |
},
|
| 748 |
"eval_O": {
|
| 749 |
-
"f1-score": 0.
|
| 750 |
-
"precision": 0.
|
| 751 |
-
"recall": 0.
|
| 752 |
-
"support":
|
| 753 |
},
|
| 754 |
-
"eval_accuracy": 0.
|
| 755 |
-
"eval_loss": 0.
|
| 756 |
"eval_macro avg": {
|
| 757 |
-
"f1-score": 0.
|
| 758 |
-
"precision": 0.
|
| 759 |
-
"recall": 0.
|
| 760 |
-
"support":
|
| 761 |
-
},
|
| 762 |
-
"eval_runtime": 4.
|
| 763 |
-
"eval_samples_per_second": 17.
|
| 764 |
-
"eval_steps_per_second": 2.
|
| 765 |
"eval_weighted avg": {
|
| 766 |
-
"f1-score": 0.
|
| 767 |
-
"precision": 0.
|
| 768 |
-
"recall": 0.
|
| 769 |
-
"support":
|
| 770 |
},
|
| 771 |
"step": 1539
|
| 772 |
},
|
| 773 |
{
|
| 774 |
"epoch": 20.0,
|
| 775 |
"eval_B": {
|
| 776 |
-
"f1-score": 0.
|
| 777 |
-
"precision": 0.
|
| 778 |
-
"recall": 0.
|
| 779 |
-
"support":
|
| 780 |
},
|
| 781 |
"eval_I": {
|
| 782 |
-
"f1-score": 0.
|
| 783 |
-
"precision": 0.
|
| 784 |
-
"recall": 0.
|
| 785 |
-
"support":
|
| 786 |
},
|
| 787 |
"eval_O": {
|
| 788 |
-
"f1-score": 0.
|
| 789 |
-
"precision": 0.
|
| 790 |
-
"recall": 0.
|
| 791 |
-
"support":
|
| 792 |
},
|
| 793 |
-
"eval_accuracy": 0.
|
| 794 |
-
"eval_loss": 0.
|
| 795 |
"eval_macro avg": {
|
| 796 |
-
"f1-score": 0.
|
| 797 |
-
"precision": 0.
|
| 798 |
-
"recall": 0.
|
| 799 |
-
"support":
|
| 800 |
-
},
|
| 801 |
-
"eval_runtime": 4.
|
| 802 |
-
"eval_samples_per_second": 17.
|
| 803 |
-
"eval_steps_per_second": 2.
|
| 804 |
"eval_weighted avg": {
|
| 805 |
-
"f1-score": 0.
|
| 806 |
-
"precision": 0.
|
| 807 |
-
"recall": 0.
|
| 808 |
-
"support":
|
| 809 |
},
|
| 810 |
"step": 1620
|
| 811 |
},
|
| 812 |
{
|
| 813 |
"epoch": 21.0,
|
| 814 |
"eval_B": {
|
| 815 |
-
"f1-score": 0.
|
| 816 |
-
"precision": 0.
|
| 817 |
-
"recall": 0.
|
| 818 |
-
"support":
|
| 819 |
},
|
| 820 |
"eval_I": {
|
| 821 |
-
"f1-score": 0.
|
| 822 |
-
"precision": 0.
|
| 823 |
-
"recall": 0.
|
| 824 |
-
"support":
|
| 825 |
},
|
| 826 |
"eval_O": {
|
| 827 |
-
"f1-score": 0.
|
| 828 |
-
"precision": 0.
|
| 829 |
-
"recall": 0.
|
| 830 |
-
"support":
|
| 831 |
},
|
| 832 |
-
"eval_accuracy": 0.
|
| 833 |
-
"eval_loss": 0.
|
| 834 |
"eval_macro avg": {
|
| 835 |
-
"f1-score": 0.
|
| 836 |
-
"precision": 0.
|
| 837 |
-
"recall": 0.
|
| 838 |
-
"support":
|
| 839 |
-
},
|
| 840 |
-
"eval_runtime": 4.
|
| 841 |
-
"eval_samples_per_second": 17.
|
| 842 |
-
"eval_steps_per_second": 2.
|
| 843 |
"eval_weighted avg": {
|
| 844 |
-
"f1-score": 0.
|
| 845 |
-
"precision": 0.
|
| 846 |
-
"recall": 0.
|
| 847 |
-
"support":
|
| 848 |
},
|
| 849 |
"step": 1701
|
| 850 |
},
|
| 851 |
{
|
| 852 |
"epoch": 22.0,
|
| 853 |
"eval_B": {
|
| 854 |
-
"f1-score": 0.
|
| 855 |
-
"precision": 0.
|
| 856 |
-
"recall": 0.
|
| 857 |
-
"support":
|
| 858 |
},
|
| 859 |
"eval_I": {
|
| 860 |
-
"f1-score": 0.
|
| 861 |
-
"precision": 0.
|
| 862 |
-
"recall": 0.
|
| 863 |
-
"support":
|
| 864 |
},
|
| 865 |
"eval_O": {
|
| 866 |
-
"f1-score": 0.
|
| 867 |
-
"precision": 0.
|
| 868 |
-
"recall": 0.
|
| 869 |
-
"support":
|
| 870 |
},
|
| 871 |
-
"eval_accuracy": 0.
|
| 872 |
-
"eval_loss": 0.
|
| 873 |
"eval_macro avg": {
|
| 874 |
-
"f1-score": 0.
|
| 875 |
-
"precision": 0.
|
| 876 |
-
"recall": 0.
|
| 877 |
-
"support":
|
| 878 |
-
},
|
| 879 |
-
"eval_runtime": 4.
|
| 880 |
-
"eval_samples_per_second": 17.
|
| 881 |
-
"eval_steps_per_second": 2.
|
| 882 |
"eval_weighted avg": {
|
| 883 |
-
"f1-score": 0.
|
| 884 |
-
"precision": 0.
|
| 885 |
-
"recall": 0.
|
| 886 |
-
"support":
|
| 887 |
},
|
| 888 |
"step": 1782
|
| 889 |
},
|
| 890 |
{
|
| 891 |
"epoch": 23.0,
|
| 892 |
"eval_B": {
|
| 893 |
-
"f1-score": 0.
|
| 894 |
-
"precision": 0.
|
| 895 |
-
"recall": 0.
|
| 896 |
-
"support":
|
| 897 |
},
|
| 898 |
"eval_I": {
|
| 899 |
-
"f1-score": 0.
|
| 900 |
-
"precision": 0.
|
| 901 |
-
"recall": 0.
|
| 902 |
-
"support":
|
| 903 |
},
|
| 904 |
"eval_O": {
|
| 905 |
-
"f1-score": 0.
|
| 906 |
-
"precision": 0.
|
| 907 |
-
"recall": 0.
|
| 908 |
-
"support":
|
| 909 |
},
|
| 910 |
-
"eval_accuracy": 0.
|
| 911 |
-
"eval_loss": 0.
|
| 912 |
"eval_macro avg": {
|
| 913 |
-
"f1-score": 0.
|
| 914 |
-
"precision": 0.
|
| 915 |
-
"recall": 0.
|
| 916 |
-
"support":
|
| 917 |
-
},
|
| 918 |
-
"eval_runtime": 4.
|
| 919 |
-
"eval_samples_per_second": 17.
|
| 920 |
-
"eval_steps_per_second": 2.
|
| 921 |
"eval_weighted avg": {
|
| 922 |
-
"f1-score": 0.
|
| 923 |
-
"precision": 0.
|
| 924 |
-
"recall": 0.
|
| 925 |
-
"support":
|
| 926 |
},
|
| 927 |
"step": 1863
|
| 928 |
},
|
| 929 |
{
|
| 930 |
"epoch": 24.0,
|
| 931 |
"eval_B": {
|
| 932 |
-
"f1-score": 0.
|
| 933 |
-
"precision": 0.
|
| 934 |
-
"recall": 0.
|
| 935 |
-
"support":
|
| 936 |
},
|
| 937 |
"eval_I": {
|
| 938 |
-
"f1-score": 0.
|
| 939 |
-
"precision": 0.
|
| 940 |
-
"recall": 0.
|
| 941 |
-
"support":
|
| 942 |
},
|
| 943 |
"eval_O": {
|
| 944 |
-
"f1-score": 0.
|
| 945 |
-
"precision": 0.
|
| 946 |
-
"recall": 0.
|
| 947 |
-
"support":
|
| 948 |
},
|
| 949 |
-
"eval_accuracy": 0.
|
| 950 |
-
"eval_loss": 0.
|
| 951 |
"eval_macro avg": {
|
| 952 |
-
"f1-score": 0.
|
| 953 |
-
"precision": 0.
|
| 954 |
-
"recall": 0.
|
| 955 |
-
"support":
|
| 956 |
},
|
| 957 |
-
"eval_runtime": 4.
|
| 958 |
-
"eval_samples_per_second": 17.
|
| 959 |
-
"eval_steps_per_second": 2.
|
| 960 |
"eval_weighted avg": {
|
| 961 |
-
"f1-score": 0.
|
| 962 |
-
"precision": 0.
|
| 963 |
-
"recall": 0.
|
| 964 |
-
"support":
|
| 965 |
},
|
| 966 |
"step": 1944
|
| 967 |
},
|
| 968 |
{
|
| 969 |
"epoch": 24.69,
|
| 970 |
-
"grad_norm": 0.
|
| 971 |
"learning_rate": 1.0123456790123458e-05,
|
| 972 |
-
"loss": 0.
|
| 973 |
"step": 2000
|
| 974 |
},
|
| 975 |
{
|
| 976 |
"epoch": 25.0,
|
| 977 |
"eval_B": {
|
| 978 |
-
"f1-score": 0.
|
| 979 |
-
"precision": 0.
|
| 980 |
-
"recall": 0.
|
| 981 |
-
"support":
|
| 982 |
},
|
| 983 |
"eval_I": {
|
| 984 |
-
"f1-score": 0.
|
| 985 |
-
"precision": 0.
|
| 986 |
-
"recall": 0.
|
| 987 |
-
"support":
|
| 988 |
},
|
| 989 |
"eval_O": {
|
| 990 |
-
"f1-score": 0.
|
| 991 |
-
"precision": 0.
|
| 992 |
-
"recall": 0.
|
| 993 |
-
"support":
|
| 994 |
},
|
| 995 |
-
"eval_accuracy": 0.
|
| 996 |
-
"eval_loss": 0.
|
| 997 |
"eval_macro avg": {
|
| 998 |
-
"f1-score": 0.
|
| 999 |
-
"precision": 0.
|
| 1000 |
-
"recall": 0.
|
| 1001 |
-
"support":
|
| 1002 |
-
},
|
| 1003 |
-
"eval_runtime": 4.
|
| 1004 |
-
"eval_samples_per_second": 17.
|
| 1005 |
-
"eval_steps_per_second": 2.
|
| 1006 |
"eval_weighted avg": {
|
| 1007 |
-
"f1-score": 0.
|
| 1008 |
-
"precision": 0.
|
| 1009 |
-
"recall": 0.
|
| 1010 |
-
"support":
|
| 1011 |
},
|
| 1012 |
"step": 2025
|
| 1013 |
},
|
| 1014 |
{
|
| 1015 |
"epoch": 26.0,
|
| 1016 |
"eval_B": {
|
| 1017 |
-
"f1-score": 0.
|
| 1018 |
-
"precision": 0.
|
| 1019 |
-
"recall": 0.
|
| 1020 |
-
"support":
|
| 1021 |
},
|
| 1022 |
"eval_I": {
|
| 1023 |
-
"f1-score": 0.
|
| 1024 |
-
"precision": 0.
|
| 1025 |
-
"recall": 0.
|
| 1026 |
-
"support":
|
| 1027 |
},
|
| 1028 |
"eval_O": {
|
| 1029 |
-
"f1-score": 0.
|
| 1030 |
-
"precision": 0.
|
| 1031 |
-
"recall": 0.
|
| 1032 |
-
"support":
|
| 1033 |
},
|
| 1034 |
-
"eval_accuracy": 0.
|
| 1035 |
-
"eval_loss": 0.
|
| 1036 |
"eval_macro avg": {
|
| 1037 |
-
"f1-score": 0.
|
| 1038 |
-
"precision": 0.
|
| 1039 |
-
"recall": 0.
|
| 1040 |
-
"support":
|
| 1041 |
-
},
|
| 1042 |
-
"eval_runtime": 4.
|
| 1043 |
-
"eval_samples_per_second":
|
| 1044 |
-
"eval_steps_per_second": 2.
|
| 1045 |
"eval_weighted avg": {
|
| 1046 |
-
"f1-score": 0.
|
| 1047 |
-
"precision": 0.
|
| 1048 |
-
"recall": 0.
|
| 1049 |
-
"support":
|
| 1050 |
},
|
| 1051 |
"step": 2106
|
| 1052 |
},
|
| 1053 |
{
|
| 1054 |
"epoch": 27.0,
|
| 1055 |
"eval_B": {
|
| 1056 |
-
"f1-score": 0.
|
| 1057 |
-
"precision": 0.
|
| 1058 |
-
"recall": 0.
|
| 1059 |
-
"support":
|
| 1060 |
},
|
| 1061 |
"eval_I": {
|
| 1062 |
-
"f1-score": 0.
|
| 1063 |
-
"precision": 0.
|
| 1064 |
-
"recall": 0.
|
| 1065 |
-
"support":
|
| 1066 |
},
|
| 1067 |
"eval_O": {
|
| 1068 |
-
"f1-score": 0.
|
| 1069 |
-
"precision": 0.
|
| 1070 |
-
"recall": 0.
|
| 1071 |
-
"support":
|
| 1072 |
},
|
| 1073 |
-
"eval_accuracy": 0.
|
| 1074 |
-
"eval_loss": 0.
|
| 1075 |
"eval_macro avg": {
|
| 1076 |
-
"f1-score": 0.
|
| 1077 |
-
"precision": 0.
|
| 1078 |
-
"recall": 0.
|
| 1079 |
-
"support":
|
| 1080 |
-
},
|
| 1081 |
-
"eval_runtime": 4.
|
| 1082 |
-
"eval_samples_per_second": 17.
|
| 1083 |
-
"eval_steps_per_second": 2.
|
| 1084 |
"eval_weighted avg": {
|
| 1085 |
-
"f1-score": 0.
|
| 1086 |
-
"precision": 0.
|
| 1087 |
-
"recall": 0.
|
| 1088 |
-
"support":
|
| 1089 |
},
|
| 1090 |
"step": 2187
|
| 1091 |
},
|
| 1092 |
{
|
| 1093 |
"epoch": 28.0,
|
| 1094 |
"eval_B": {
|
| 1095 |
-
"f1-score": 0.
|
| 1096 |
-
"precision": 0.
|
| 1097 |
-
"recall": 0.
|
| 1098 |
-
"support":
|
| 1099 |
},
|
| 1100 |
"eval_I": {
|
| 1101 |
-
"f1-score": 0.
|
| 1102 |
-
"precision": 0.
|
| 1103 |
-
"recall": 0.
|
| 1104 |
-
"support":
|
| 1105 |
},
|
| 1106 |
"eval_O": {
|
| 1107 |
-
"f1-score": 0.
|
| 1108 |
-
"precision": 0.
|
| 1109 |
-
"recall": 0.
|
| 1110 |
-
"support":
|
| 1111 |
},
|
| 1112 |
-
"eval_accuracy": 0.
|
| 1113 |
-
"eval_loss": 0.
|
| 1114 |
"eval_macro avg": {
|
| 1115 |
-
"f1-score": 0.
|
| 1116 |
-
"precision": 0.
|
| 1117 |
-
"recall": 0.
|
| 1118 |
-
"support":
|
| 1119 |
-
},
|
| 1120 |
-
"eval_runtime": 4.
|
| 1121 |
-
"eval_samples_per_second": 17.
|
| 1122 |
-
"eval_steps_per_second": 2.
|
| 1123 |
"eval_weighted avg": {
|
| 1124 |
-
"f1-score": 0.
|
| 1125 |
-
"precision": 0.
|
| 1126 |
-
"recall": 0.
|
| 1127 |
-
"support":
|
| 1128 |
},
|
| 1129 |
"step": 2268
|
| 1130 |
},
|
| 1131 |
{
|
| 1132 |
"epoch": 29.0,
|
| 1133 |
"eval_B": {
|
| 1134 |
-
"f1-score": 0.
|
| 1135 |
-
"precision": 0.
|
| 1136 |
-
"recall": 0.
|
| 1137 |
-
"support":
|
| 1138 |
},
|
| 1139 |
"eval_I": {
|
| 1140 |
-
"f1-score": 0.
|
| 1141 |
-
"precision": 0.
|
| 1142 |
-
"recall": 0.
|
| 1143 |
-
"support":
|
| 1144 |
},
|
| 1145 |
"eval_O": {
|
| 1146 |
-
"f1-score": 0.
|
| 1147 |
-
"precision": 0.
|
| 1148 |
-
"recall": 0.
|
| 1149 |
-
"support":
|
| 1150 |
},
|
| 1151 |
-
"eval_accuracy": 0.
|
| 1152 |
-
"eval_loss": 0.
|
| 1153 |
"eval_macro avg": {
|
| 1154 |
-
"f1-score": 0.
|
| 1155 |
-
"precision": 0.
|
| 1156 |
-
"recall": 0.
|
| 1157 |
-
"support":
|
| 1158 |
-
},
|
| 1159 |
-
"eval_runtime": 4.
|
| 1160 |
-
"eval_samples_per_second": 17.
|
| 1161 |
-
"eval_steps_per_second": 2.
|
| 1162 |
"eval_weighted avg": {
|
| 1163 |
-
"f1-score": 0.
|
| 1164 |
-
"precision": 0.
|
| 1165 |
-
"recall": 0.
|
| 1166 |
-
"support":
|
| 1167 |
},
|
| 1168 |
"step": 2349
|
| 1169 |
},
|
| 1170 |
{
|
| 1171 |
"epoch": 30.0,
|
| 1172 |
"eval_B": {
|
| 1173 |
-
"f1-score": 0.
|
| 1174 |
-
"precision": 0.
|
| 1175 |
-
"recall": 0.
|
| 1176 |
-
"support":
|
| 1177 |
},
|
| 1178 |
"eval_I": {
|
| 1179 |
-
"f1-score": 0.
|
| 1180 |
-
"precision": 0.
|
| 1181 |
-
"recall": 0.
|
| 1182 |
-
"support":
|
| 1183 |
},
|
| 1184 |
"eval_O": {
|
| 1185 |
-
"f1-score": 0.
|
| 1186 |
-
"precision": 0.
|
| 1187 |
-
"recall": 0.
|
| 1188 |
-
"support":
|
| 1189 |
},
|
| 1190 |
-
"eval_accuracy": 0.
|
| 1191 |
-
"eval_loss": 0.
|
| 1192 |
"eval_macro avg": {
|
| 1193 |
-
"f1-score": 0.
|
| 1194 |
-
"precision": 0.
|
| 1195 |
-
"recall": 0.
|
| 1196 |
-
"support":
|
| 1197 |
-
},
|
| 1198 |
-
"eval_runtime": 4.
|
| 1199 |
-
"eval_samples_per_second": 17.
|
| 1200 |
-
"eval_steps_per_second": 2.
|
| 1201 |
"eval_weighted avg": {
|
| 1202 |
-
"f1-score": 0.
|
| 1203 |
-
"precision": 0.
|
| 1204 |
-
"recall": 0.
|
| 1205 |
-
"support":
|
| 1206 |
},
|
| 1207 |
"step": 2430
|
| 1208 |
},
|
| 1209 |
{
|
| 1210 |
"epoch": 30.86,
|
| 1211 |
-
"grad_norm": 0.
|
| 1212 |
"learning_rate": 7.654320987654322e-06,
|
| 1213 |
-
"loss": 0.
|
| 1214 |
"step": 2500
|
| 1215 |
},
|
| 1216 |
{
|
| 1217 |
"epoch": 31.0,
|
| 1218 |
"eval_B": {
|
| 1219 |
-
"f1-score": 0.
|
| 1220 |
-
"precision": 0.
|
| 1221 |
-
"recall": 0.
|
| 1222 |
-
"support":
|
| 1223 |
},
|
| 1224 |
"eval_I": {
|
| 1225 |
-
"f1-score": 0.
|
| 1226 |
-
"precision": 0.
|
| 1227 |
-
"recall": 0.
|
| 1228 |
-
"support":
|
| 1229 |
},
|
| 1230 |
"eval_O": {
|
| 1231 |
-
"f1-score": 0.
|
| 1232 |
-
"precision": 0.
|
| 1233 |
-
"recall": 0.
|
| 1234 |
-
"support":
|
| 1235 |
},
|
| 1236 |
-
"eval_accuracy": 0.
|
| 1237 |
-
"eval_loss": 0.
|
| 1238 |
"eval_macro avg": {
|
| 1239 |
-
"f1-score": 0.
|
| 1240 |
-
"precision": 0.
|
| 1241 |
-
"recall": 0.
|
| 1242 |
-
"support":
|
| 1243 |
-
},
|
| 1244 |
-
"eval_runtime": 4.
|
| 1245 |
-
"eval_samples_per_second": 17.
|
| 1246 |
-
"eval_steps_per_second": 2.
|
| 1247 |
"eval_weighted avg": {
|
| 1248 |
-
"f1-score": 0.
|
| 1249 |
-
"precision": 0.
|
| 1250 |
-
"recall": 0.
|
| 1251 |
-
"support":
|
| 1252 |
},
|
| 1253 |
"step": 2511
|
| 1254 |
},
|
| 1255 |
{
|
| 1256 |
"epoch": 32.0,
|
| 1257 |
"eval_B": {
|
| 1258 |
-
"f1-score": 0.
|
| 1259 |
-
"precision": 0.
|
| 1260 |
-
"recall": 0.
|
| 1261 |
-
"support":
|
| 1262 |
},
|
| 1263 |
"eval_I": {
|
| 1264 |
-
"f1-score": 0.
|
| 1265 |
-
"precision": 0.
|
| 1266 |
-
"recall": 0.
|
| 1267 |
-
"support":
|
| 1268 |
},
|
| 1269 |
"eval_O": {
|
| 1270 |
-
"f1-score": 0.
|
| 1271 |
-
"precision": 0.
|
| 1272 |
-
"recall": 0.
|
| 1273 |
-
"support":
|
| 1274 |
},
|
| 1275 |
-
"eval_accuracy": 0.
|
| 1276 |
-
"eval_loss": 0.
|
| 1277 |
"eval_macro avg": {
|
| 1278 |
-
"f1-score": 0.
|
| 1279 |
-
"precision": 0.
|
| 1280 |
-
"recall": 0.
|
| 1281 |
-
"support":
|
| 1282 |
-
},
|
| 1283 |
-
"eval_runtime": 4.
|
| 1284 |
-
"eval_samples_per_second": 17.
|
| 1285 |
-
"eval_steps_per_second": 2.
|
| 1286 |
"eval_weighted avg": {
|
| 1287 |
-
"f1-score": 0.
|
| 1288 |
-
"precision": 0.
|
| 1289 |
-
"recall": 0.
|
| 1290 |
-
"support":
|
| 1291 |
},
|
| 1292 |
"step": 2592
|
| 1293 |
},
|
| 1294 |
{
|
| 1295 |
"epoch": 33.0,
|
| 1296 |
"eval_B": {
|
| 1297 |
-
"f1-score": 0.
|
| 1298 |
-
"precision": 0.
|
| 1299 |
-
"recall": 0.
|
| 1300 |
-
"support":
|
| 1301 |
},
|
| 1302 |
"eval_I": {
|
| 1303 |
-
"f1-score": 0.
|
| 1304 |
-
"precision": 0.
|
| 1305 |
-
"recall": 0.
|
| 1306 |
-
"support":
|
| 1307 |
},
|
| 1308 |
"eval_O": {
|
| 1309 |
-
"f1-score": 0.
|
| 1310 |
-
"precision": 0.
|
| 1311 |
-
"recall": 0.
|
| 1312 |
-
"support":
|
| 1313 |
},
|
| 1314 |
-
"eval_accuracy": 0.
|
| 1315 |
-
"eval_loss": 0.
|
| 1316 |
"eval_macro avg": {
|
| 1317 |
-
"f1-score": 0.
|
| 1318 |
-
"precision": 0.
|
| 1319 |
-
"recall": 0.
|
| 1320 |
-
"support":
|
| 1321 |
-
},
|
| 1322 |
-
"eval_runtime": 4.
|
| 1323 |
-
"eval_samples_per_second": 17.
|
| 1324 |
-
"eval_steps_per_second": 2.
|
| 1325 |
"eval_weighted avg": {
|
| 1326 |
-
"f1-score": 0.
|
| 1327 |
-
"precision": 0.
|
| 1328 |
-
"recall": 0.
|
| 1329 |
-
"support":
|
| 1330 |
},
|
| 1331 |
"step": 2673
|
| 1332 |
},
|
| 1333 |
{
|
| 1334 |
"epoch": 34.0,
|
| 1335 |
"eval_B": {
|
| 1336 |
-
"f1-score": 0.
|
| 1337 |
-
"precision": 0.
|
| 1338 |
-
"recall": 0.
|
| 1339 |
-
"support":
|
| 1340 |
},
|
| 1341 |
"eval_I": {
|
| 1342 |
-
"f1-score": 0.
|
| 1343 |
-
"precision": 0.
|
| 1344 |
-
"recall": 0.
|
| 1345 |
-
"support":
|
| 1346 |
},
|
| 1347 |
"eval_O": {
|
| 1348 |
-
"f1-score": 0.
|
| 1349 |
-
"precision": 0.
|
| 1350 |
-
"recall": 0.
|
| 1351 |
-
"support":
|
| 1352 |
},
|
| 1353 |
-
"eval_accuracy": 0.
|
| 1354 |
-
"eval_loss": 0.
|
| 1355 |
"eval_macro avg": {
|
| 1356 |
-
"f1-score": 0.
|
| 1357 |
-
"precision": 0.
|
| 1358 |
-
"recall": 0.
|
| 1359 |
-
"support":
|
| 1360 |
-
},
|
| 1361 |
-
"eval_runtime": 4.
|
| 1362 |
-
"eval_samples_per_second": 17.
|
| 1363 |
-
"eval_steps_per_second": 2.
|
| 1364 |
"eval_weighted avg": {
|
| 1365 |
-
"f1-score": 0.
|
| 1366 |
-
"precision": 0.
|
| 1367 |
-
"recall": 0.
|
| 1368 |
-
"support":
|
| 1369 |
},
|
| 1370 |
"step": 2754
|
| 1371 |
},
|
| 1372 |
{
|
| 1373 |
"epoch": 35.0,
|
| 1374 |
"eval_B": {
|
| 1375 |
-
"f1-score": 0.
|
| 1376 |
-
"precision": 0.
|
| 1377 |
-
"recall": 0.
|
| 1378 |
-
"support":
|
| 1379 |
},
|
| 1380 |
"eval_I": {
|
| 1381 |
-
"f1-score": 0.
|
| 1382 |
-
"precision": 0.
|
| 1383 |
-
"recall": 0.
|
| 1384 |
-
"support":
|
| 1385 |
},
|
| 1386 |
"eval_O": {
|
| 1387 |
-
"f1-score": 0.
|
| 1388 |
-
"precision": 0.
|
| 1389 |
-
"recall": 0.
|
| 1390 |
-
"support":
|
| 1391 |
},
|
| 1392 |
-
"eval_accuracy": 0.
|
| 1393 |
-
"eval_loss": 0.
|
| 1394 |
"eval_macro avg": {
|
| 1395 |
-
"f1-score": 0.
|
| 1396 |
-
"precision": 0.
|
| 1397 |
-
"recall": 0.
|
| 1398 |
-
"support":
|
| 1399 |
-
},
|
| 1400 |
-
"eval_runtime": 4.
|
| 1401 |
-
"eval_samples_per_second": 17.
|
| 1402 |
-
"eval_steps_per_second": 2.
|
| 1403 |
"eval_weighted avg": {
|
| 1404 |
-
"f1-score": 0.
|
| 1405 |
-
"precision": 0.
|
| 1406 |
-
"recall": 0.
|
| 1407 |
-
"support":
|
| 1408 |
},
|
| 1409 |
"step": 2835
|
| 1410 |
},
|
| 1411 |
{
|
| 1412 |
"epoch": 36.0,
|
| 1413 |
"eval_B": {
|
| 1414 |
-
"f1-score": 0.
|
| 1415 |
-
"precision": 0.
|
| 1416 |
-
"recall": 0.
|
| 1417 |
-
"support":
|
| 1418 |
},
|
| 1419 |
"eval_I": {
|
| 1420 |
-
"f1-score": 0.
|
| 1421 |
-
"precision": 0.
|
| 1422 |
-
"recall": 0.
|
| 1423 |
-
"support":
|
| 1424 |
},
|
| 1425 |
"eval_O": {
|
| 1426 |
-
"f1-score": 0.
|
| 1427 |
-
"precision": 0.
|
| 1428 |
-
"recall": 0.
|
| 1429 |
-
"support":
|
| 1430 |
},
|
| 1431 |
-
"eval_accuracy": 0.
|
| 1432 |
-
"eval_loss": 0.
|
| 1433 |
"eval_macro avg": {
|
| 1434 |
-
"f1-score": 0.
|
| 1435 |
-
"precision": 0.
|
| 1436 |
-
"recall": 0.
|
| 1437 |
-
"support":
|
| 1438 |
-
},
|
| 1439 |
-
"eval_runtime": 4.
|
| 1440 |
-
"eval_samples_per_second": 17.
|
| 1441 |
-
"eval_steps_per_second": 2.
|
| 1442 |
"eval_weighted avg": {
|
| 1443 |
-
"f1-score": 0.
|
| 1444 |
-
"precision": 0.
|
| 1445 |
-
"recall": 0.
|
| 1446 |
-
"support":
|
| 1447 |
},
|
| 1448 |
"step": 2916
|
| 1449 |
},
|
| 1450 |
{
|
| 1451 |
"epoch": 37.0,
|
| 1452 |
"eval_B": {
|
| 1453 |
-
"f1-score": 0.
|
| 1454 |
-
"precision": 0.
|
| 1455 |
-
"recall": 0.
|
| 1456 |
-
"support":
|
| 1457 |
},
|
| 1458 |
"eval_I": {
|
| 1459 |
-
"f1-score": 0.
|
| 1460 |
-
"precision": 0.
|
| 1461 |
-
"recall": 0.
|
| 1462 |
-
"support":
|
| 1463 |
},
|
| 1464 |
"eval_O": {
|
| 1465 |
-
"f1-score": 0.
|
| 1466 |
-
"precision": 0.
|
| 1467 |
-
"recall": 0.
|
| 1468 |
-
"support":
|
| 1469 |
},
|
| 1470 |
-
"eval_accuracy": 0.
|
| 1471 |
-
"eval_loss": 0.
|
| 1472 |
"eval_macro avg": {
|
| 1473 |
-
"f1-score": 0.
|
| 1474 |
-
"precision": 0.
|
| 1475 |
-
"recall": 0.
|
| 1476 |
-
"support":
|
| 1477 |
-
},
|
| 1478 |
-
"eval_runtime": 4.
|
| 1479 |
-
"eval_samples_per_second": 17.
|
| 1480 |
-
"eval_steps_per_second": 2.
|
| 1481 |
"eval_weighted avg": {
|
| 1482 |
-
"f1-score": 0.
|
| 1483 |
-
"precision": 0.
|
| 1484 |
-
"recall": 0.
|
| 1485 |
-
"support":
|
| 1486 |
},
|
| 1487 |
"step": 2997
|
| 1488 |
}
|
|
@@ -1492,7 +1492,7 @@
|
|
| 1492 |
"num_input_tokens_seen": 0,
|
| 1493 |
"num_train_epochs": 50,
|
| 1494 |
"save_steps": 500,
|
| 1495 |
-
"total_flos":
|
| 1496 |
"train_batch_size": 4,
|
| 1497 |
"trial_name": null,
|
| 1498 |
"trial_params": null
|
|
|
|
| 11 |
{
|
| 12 |
"epoch": 1.0,
|
| 13 |
"eval_B": {
|
| 14 |
+
"f1-score": 0.8266764382557715,
|
| 15 |
+
"precision": 0.7866108786610879,
|
| 16 |
+
"recall": 0.871042471042471,
|
| 17 |
+
"support": 1295.0
|
| 18 |
},
|
| 19 |
"eval_I": {
|
| 20 |
+
"f1-score": 0.9410658617447671,
|
| 21 |
+
"precision": 0.9344077040239768,
|
| 22 |
+
"recall": 0.9478195863443808,
|
| 23 |
+
"support": 20065.0
|
| 24 |
},
|
| 25 |
"eval_O": {
|
| 26 |
+
"f1-score": 0.8562443302086484,
|
| 27 |
+
"precision": 0.8789421405512788,
|
| 28 |
+
"recall": 0.8346893055064262,
|
| 29 |
+
"support": 8481.0
|
| 30 |
},
|
| 31 |
+
"eval_accuracy": 0.912335377500754,
|
| 32 |
+
"eval_loss": 0.2450982630252838,
|
| 33 |
"eval_macro avg": {
|
| 34 |
+
"f1-score": 0.8746622100697291,
|
| 35 |
+
"precision": 0.8666535744121145,
|
| 36 |
+
"recall": 0.8845171209644261,
|
| 37 |
+
"support": 29841.0
|
| 38 |
+
},
|
| 39 |
+
"eval_runtime": 4.6269,
|
| 40 |
+
"eval_samples_per_second": 17.29,
|
| 41 |
+
"eval_steps_per_second": 2.161,
|
| 42 |
"eval_weighted avg": {
|
| 43 |
+
"f1-score": 0.9119949287205363,
|
| 44 |
+
"precision": 0.9122301519092053,
|
| 45 |
+
"recall": 0.912335377500754,
|
| 46 |
+
"support": 29841.0
|
| 47 |
},
|
| 48 |
"step": 81
|
| 49 |
},
|
| 50 |
{
|
| 51 |
"epoch": 2.0,
|
| 52 |
"eval_B": {
|
| 53 |
+
"f1-score": 0.8833395452851286,
|
| 54 |
+
"precision": 0.8537463976945245,
|
| 55 |
+
"recall": 0.915057915057915,
|
| 56 |
+
"support": 1295.0
|
| 57 |
},
|
| 58 |
"eval_I": {
|
| 59 |
+
"f1-score": 0.9549518227873249,
|
| 60 |
+
"precision": 0.9516903430183636,
|
| 61 |
+
"recall": 0.958235733864939,
|
| 62 |
+
"support": 20065.0
|
| 63 |
},
|
| 64 |
"eval_O": {
|
| 65 |
+
"f1-score": 0.88924750463212,
|
| 66 |
+
"precision": 0.9016969696969697,
|
| 67 |
+
"recall": 0.877137130055418,
|
| 68 |
+
"support": 8481.0
|
| 69 |
},
|
| 70 |
+
"eval_accuracy": 0.9333132267685399,
|
| 71 |
+
"eval_loss": 0.20076116919517517,
|
| 72 |
"eval_macro avg": {
|
| 73 |
+
"f1-score": 0.9091796242348579,
|
| 74 |
+
"precision": 0.9023779034699526,
|
| 75 |
+
"recall": 0.916810259659424,
|
| 76 |
+
"support": 29841.0
|
| 77 |
+
},
|
| 78 |
+
"eval_runtime": 4.6524,
|
| 79 |
+
"eval_samples_per_second": 17.195,
|
| 80 |
+
"eval_steps_per_second": 2.149,
|
| 81 |
"eval_weighted avg": {
|
| 82 |
+
"f1-score": 0.9331705077630417,
|
| 83 |
+
"precision": 0.9332314707173981,
|
| 84 |
+
"recall": 0.9333132267685399,
|
| 85 |
+
"support": 29841.0
|
| 86 |
},
|
| 87 |
"step": 162
|
| 88 |
},
|
| 89 |
{
|
| 90 |
"epoch": 3.0,
|
| 91 |
"eval_B": {
|
| 92 |
+
"f1-score": 0.8927335640138409,
|
| 93 |
+
"precision": 0.8889739663093414,
|
| 94 |
+
"recall": 0.8965250965250965,
|
| 95 |
+
"support": 1295.0
|
| 96 |
},
|
| 97 |
"eval_I": {
|
| 98 |
+
"f1-score": 0.9590235396687009,
|
| 99 |
+
"precision": 0.9586653386454184,
|
| 100 |
+
"recall": 0.9593820084724645,
|
| 101 |
+
"support": 20065.0
|
| 102 |
},
|
| 103 |
"eval_O": {
|
| 104 |
+
"f1-score": 0.9006849315068494,
|
| 105 |
+
"precision": 0.9020697811945594,
|
| 106 |
+
"recall": 0.8993043273198915,
|
| 107 |
+
"support": 8481.0
|
| 108 |
},
|
| 109 |
+
"eval_accuracy": 0.9395797727958178,
|
| 110 |
+
"eval_loss": 0.19863653182983398,
|
| 111 |
"eval_macro avg": {
|
| 112 |
+
"f1-score": 0.9174806783964637,
|
| 113 |
+
"precision": 0.9165696953831063,
|
| 114 |
+
"recall": 0.9184038107724842,
|
| 115 |
+
"support": 29841.0
|
| 116 |
+
},
|
| 117 |
+
"eval_runtime": 4.655,
|
| 118 |
+
"eval_samples_per_second": 17.186,
|
| 119 |
+
"eval_steps_per_second": 2.148,
|
| 120 |
"eval_weighted avg": {
|
| 121 |
+
"f1-score": 0.9395665759512081,
|
| 122 |
+
"precision": 0.9395561516236713,
|
| 123 |
+
"recall": 0.9395797727958178,
|
| 124 |
+
"support": 29841.0
|
| 125 |
},
|
| 126 |
"step": 243
|
| 127 |
},
|
| 128 |
{
|
| 129 |
"epoch": 4.0,
|
| 130 |
"eval_B": {
|
| 131 |
+
"f1-score": 0.8999616711383672,
|
| 132 |
+
"precision": 0.893455098934551,
|
| 133 |
+
"recall": 0.9065637065637066,
|
| 134 |
+
"support": 1295.0
|
| 135 |
},
|
| 136 |
"eval_I": {
|
| 137 |
+
"f1-score": 0.9612657113512985,
|
| 138 |
+
"precision": 0.9436362763454799,
|
| 139 |
+
"recall": 0.9795664091701969,
|
| 140 |
+
"support": 20065.0
|
| 141 |
},
|
| 142 |
"eval_O": {
|
| 143 |
+
"f1-score": 0.8996847765622102,
|
| 144 |
+
"precision": 0.9454403741231489,
|
| 145 |
+
"recall": 0.8581535196321188,
|
| 146 |
+
"support": 8481.0
|
| 147 |
},
|
| 148 |
+
"eval_accuracy": 0.9418920277470594,
|
| 149 |
+
"eval_loss": 0.19743724167346954,
|
| 150 |
"eval_macro avg": {
|
| 151 |
+
"f1-score": 0.920304053017292,
|
| 152 |
+
"precision": 0.9275105831343932,
|
| 153 |
+
"recall": 0.9147612117886741,
|
| 154 |
+
"support": 29841.0
|
| 155 |
+
},
|
| 156 |
+
"eval_runtime": 4.6615,
|
| 157 |
+
"eval_samples_per_second": 17.162,
|
| 158 |
+
"eval_steps_per_second": 2.145,
|
| 159 |
"eval_weighted avg": {
|
| 160 |
+
"f1-score": 0.9411036309913238,
|
| 161 |
+
"precision": 0.9419713163409645,
|
| 162 |
+
"recall": 0.9418920277470594,
|
| 163 |
+
"support": 29841.0
|
| 164 |
},
|
| 165 |
"step": 324
|
| 166 |
},
|
| 167 |
{
|
| 168 |
"epoch": 5.0,
|
| 169 |
"eval_B": {
|
| 170 |
+
"f1-score": 0.8953846153846153,
|
| 171 |
+
"precision": 0.8919540229885058,
|
| 172 |
+
"recall": 0.8988416988416988,
|
| 173 |
+
"support": 1295.0
|
| 174 |
},
|
| 175 |
"eval_I": {
|
| 176 |
+
"f1-score": 0.9602426713742261,
|
| 177 |
+
"precision": 0.9581224570804803,
|
| 178 |
+
"recall": 0.9623722900573137,
|
| 179 |
+
"support": 20065.0
|
| 180 |
},
|
| 181 |
"eval_O": {
|
| 182 |
+
"f1-score": 0.9022119433078337,
|
| 183 |
+
"precision": 0.9075399665950847,
|
| 184 |
+
"recall": 0.8969461148449476,
|
| 185 |
+
"support": 8481.0
|
| 186 |
},
|
| 187 |
+
"eval_accuracy": 0.9410207432726785,
|
| 188 |
+
"eval_loss": 0.2340461015701294,
|
| 189 |
"eval_macro avg": {
|
| 190 |
+
"f1-score": 0.9192797433555584,
|
| 191 |
+
"precision": 0.9192054822213569,
|
| 192 |
+
"recall": 0.9193867012479867,
|
| 193 |
+
"support": 29841.0
|
| 194 |
+
},
|
| 195 |
+
"eval_runtime": 4.6719,
|
| 196 |
+
"eval_samples_per_second": 17.124,
|
| 197 |
+
"eval_steps_per_second": 2.14,
|
| 198 |
"eval_weighted avg": {
|
| 199 |
+
"f1-score": 0.9409353496612266,
|
| 200 |
+
"precision": 0.9408751053176122,
|
| 201 |
+
"recall": 0.9410207432726785,
|
| 202 |
+
"support": 29841.0
|
| 203 |
},
|
| 204 |
"step": 405
|
| 205 |
},
|
| 206 |
{
|
| 207 |
"epoch": 6.0,
|
| 208 |
"eval_B": {
|
| 209 |
+
"f1-score": 0.8929831438651511,
|
| 210 |
+
"precision": 0.9068471337579618,
|
| 211 |
+
"recall": 0.8795366795366796,
|
| 212 |
+
"support": 1295.0
|
| 213 |
},
|
| 214 |
"eval_I": {
|
| 215 |
+
"f1-score": 0.9522293798155866,
|
| 216 |
+
"precision": 0.9655225409836066,
|
| 217 |
+
"recall": 0.9392972838275604,
|
| 218 |
+
"support": 20065.0
|
| 219 |
},
|
| 220 |
"eval_O": {
|
| 221 |
+
"f1-score": 0.8885216003647556,
|
| 222 |
+
"precision": 0.8599007170435742,
|
| 223 |
+
"recall": 0.919113312109421,
|
| 224 |
+
"support": 8481.0
|
| 225 |
},
|
| 226 |
+
"eval_accuracy": 0.930967460875976,
|
| 227 |
+
"eval_loss": 0.21774999797344208,
|
| 228 |
"eval_macro avg": {
|
| 229 |
+
"f1-score": 0.9112447080151643,
|
| 230 |
+
"precision": 0.9107567972617142,
|
| 231 |
+
"recall": 0.9126490918245537,
|
| 232 |
+
"support": 29841.0
|
| 233 |
+
},
|
| 234 |
+
"eval_runtime": 4.647,
|
| 235 |
+
"eval_samples_per_second": 17.215,
|
| 236 |
+
"eval_steps_per_second": 2.152,
|
| 237 |
"eval_weighted avg": {
|
| 238 |
+
"f1-score": 0.9315521386682287,
|
| 239 |
+
"precision": 0.9329578366776978,
|
| 240 |
+
"recall": 0.930967460875976,
|
| 241 |
+
"support": 29841.0
|
| 242 |
},
|
| 243 |
"step": 486
|
| 244 |
},
|
| 245 |
{
|
| 246 |
"epoch": 6.17,
|
| 247 |
+
"grad_norm": 9.310327529907227,
|
| 248 |
"learning_rate": 1.7530864197530865e-05,
|
| 249 |
+
"loss": 0.1627,
|
| 250 |
"step": 500
|
| 251 |
},
|
| 252 |
{
|
| 253 |
"epoch": 7.0,
|
| 254 |
"eval_B": {
|
| 255 |
+
"f1-score": 0.8936490041337843,
|
| 256 |
+
"precision": 0.8704245973645681,
|
| 257 |
+
"recall": 0.9181467181467181,
|
| 258 |
+
"support": 1295.0
|
| 259 |
},
|
| 260 |
"eval_I": {
|
| 261 |
+
"f1-score": 0.9599271850630982,
|
| 262 |
+
"precision": 0.9477800446905664,
|
| 263 |
+
"recall": 0.9723897333665587,
|
| 264 |
+
"support": 20065.0
|
| 265 |
},
|
| 266 |
"eval_O": {
|
| 267 |
+
"f1-score": 0.8979841172877214,
|
| 268 |
+
"precision": 0.9316770186335404,
|
| 269 |
+
"recall": 0.8666430845419172,
|
| 270 |
+
"support": 8481.0
|
| 271 |
},
|
| 272 |
+
"eval_accuracy": 0.9399819040916859,
|
| 273 |
+
"eval_loss": 0.27376389503479004,
|
| 274 |
"eval_macro avg": {
|
| 275 |
+
"f1-score": 0.9171867688282013,
|
| 276 |
+
"precision": 0.9166272202295582,
|
| 277 |
+
"recall": 0.9190598453517312,
|
| 278 |
+
"support": 29841.0
|
| 279 |
+
},
|
| 280 |
+
"eval_runtime": 4.6671,
|
| 281 |
+
"eval_samples_per_second": 17.141,
|
| 282 |
+
"eval_steps_per_second": 2.143,
|
| 283 |
"eval_weighted avg": {
|
| 284 |
+
"f1-score": 0.9394463230910989,
|
| 285 |
+
"precision": 0.9398464945991887,
|
| 286 |
+
"recall": 0.9399819040916859,
|
| 287 |
+
"support": 29841.0
|
| 288 |
},
|
| 289 |
"step": 567
|
| 290 |
},
|
| 291 |
{
|
| 292 |
"epoch": 8.0,
|
| 293 |
"eval_B": {
|
| 294 |
+
"f1-score": 0.8948545861297539,
|
| 295 |
+
"precision": 0.8651766402307137,
|
| 296 |
+
"recall": 0.9266409266409267,
|
| 297 |
+
"support": 1295.0
|
| 298 |
},
|
| 299 |
"eval_I": {
|
| 300 |
+
"f1-score": 0.9590139880661254,
|
| 301 |
+
"precision": 0.9414702069429106,
|
| 302 |
+
"recall": 0.9772240219287316,
|
| 303 |
+
"support": 20065.0
|
| 304 |
},
|
| 305 |
"eval_O": {
|
| 306 |
+
"f1-score": 0.8927241122423641,
|
| 307 |
+
"precision": 0.9427035531663825,
|
| 308 |
+
"recall": 0.8477773847423653,
|
| 309 |
+
"support": 8481.0
|
| 310 |
},
|
| 311 |
+
"eval_accuracy": 0.9382393351429241,
|
| 312 |
+
"eval_loss": 0.3103167414665222,
|
| 313 |
"eval_macro avg": {
|
| 314 |
+
"f1-score": 0.9155308954794145,
|
| 315 |
+
"precision": 0.916450133446669,
|
| 316 |
+
"recall": 0.9172141111040079,
|
| 317 |
+
"support": 29841.0
|
| 318 |
+
},
|
| 319 |
+
"eval_runtime": 4.6339,
|
| 320 |
+
"eval_samples_per_second": 17.264,
|
| 321 |
+
"eval_steps_per_second": 2.158,
|
| 322 |
"eval_weighted avg": {
|
| 323 |
+
"f1-score": 0.9373896838414373,
|
| 324 |
+
"precision": 0.9385098450391195,
|
| 325 |
+
"recall": 0.9382393351429241,
|
| 326 |
+
"support": 29841.0
|
| 327 |
},
|
| 328 |
"step": 648
|
| 329 |
},
|
| 330 |
{
|
| 331 |
"epoch": 9.0,
|
| 332 |
"eval_B": {
|
| 333 |
+
"f1-score": 0.9011235955056179,
|
| 334 |
+
"precision": 0.8749090909090909,
|
| 335 |
+
"recall": 0.9289575289575289,
|
| 336 |
+
"support": 1295.0
|
| 337 |
},
|
| 338 |
"eval_I": {
|
| 339 |
+
"f1-score": 0.9615119937082186,
|
| 340 |
+
"precision": 0.9485040973670175,
|
| 341 |
+
"recall": 0.9748816346872664,
|
| 342 |
+
"support": 20065.0
|
| 343 |
},
|
| 344 |
"eval_O": {
|
| 345 |
+
"f1-score": 0.9013722126929674,
|
| 346 |
+
"precision": 0.9380339155935229,
|
| 347 |
+
"recall": 0.8674684589081476,
|
| 348 |
+
"support": 8481.0
|
| 349 |
},
|
| 350 |
+
"eval_accuracy": 0.9423611809255722,
|
| 351 |
+
"eval_loss": 0.32883673906326294,
|
| 352 |
"eval_macro avg": {
|
| 353 |
+
"f1-score": 0.9213359339689347,
|
| 354 |
+
"precision": 0.9204823679565438,
|
| 355 |
+
"recall": 0.9237692075176476,
|
| 356 |
+
"support": 29841.0
|
| 357 |
+
},
|
| 358 |
+
"eval_runtime": 4.6714,
|
| 359 |
+
"eval_samples_per_second": 17.126,
|
| 360 |
+
"eval_steps_per_second": 2.141,
|
| 361 |
"eval_weighted avg": {
|
| 362 |
+
"f1-score": 0.9417992341337168,
|
| 363 |
+
"precision": 0.9423346276781992,
|
| 364 |
+
"recall": 0.9423611809255722,
|
| 365 |
+
"support": 29841.0
|
| 366 |
},
|
| 367 |
"step": 729
|
| 368 |
},
|
| 369 |
{
|
| 370 |
"epoch": 10.0,
|
| 371 |
"eval_B": {
|
| 372 |
+
"f1-score": 0.8935361216730039,
|
| 373 |
+
"precision": 0.8801498127340824,
|
| 374 |
+
"recall": 0.9073359073359073,
|
| 375 |
+
"support": 1295.0
|
| 376 |
},
|
| 377 |
"eval_I": {
|
| 378 |
+
"f1-score": 0.9632332861646931,
|
| 379 |
+
"precision": 0.9596359319351009,
|
| 380 |
+
"recall": 0.9668577124345876,
|
| 381 |
+
"support": 20065.0
|
| 382 |
},
|
| 383 |
"eval_O": {
|
| 384 |
+
"f1-score": 0.9095462405342556,
|
| 385 |
+
"precision": 0.9200241254523522,
|
| 386 |
+
"recall": 0.8993043273198915,
|
| 387 |
+
"support": 8481.0
|
| 388 |
},
|
| 389 |
+
"eval_accuracy": 0.9450755671726819,
|
| 390 |
+
"eval_loss": 0.3041447699069977,
|
| 391 |
"eval_macro avg": {
|
| 392 |
+
"f1-score": 0.9221052161239841,
|
| 393 |
+
"precision": 0.9199366233738452,
|
| 394 |
+
"recall": 0.9244993156967954,
|
| 395 |
+
"support": 29841.0
|
| 396 |
+
},
|
| 397 |
+
"eval_runtime": 4.6532,
|
| 398 |
+
"eval_samples_per_second": 17.193,
|
| 399 |
+
"eval_steps_per_second": 2.149,
|
| 400 |
"eval_weighted avg": {
|
| 401 |
+
"f1-score": 0.9449504651463465,
|
| 402 |
+
"precision": 0.9449285744355027,
|
| 403 |
+
"recall": 0.9450755671726819,
|
| 404 |
+
"support": 29841.0
|
| 405 |
},
|
| 406 |
"step": 810
|
| 407 |
},
|
| 408 |
{
|
| 409 |
"epoch": 11.0,
|
| 410 |
"eval_B": {
|
| 411 |
+
"f1-score": 0.8924122310305775,
|
| 412 |
+
"precision": 0.8729689807976366,
|
| 413 |
+
"recall": 0.9127413127413128,
|
| 414 |
+
"support": 1295.0
|
| 415 |
},
|
| 416 |
"eval_I": {
|
| 417 |
+
"f1-score": 0.9588723786993913,
|
| 418 |
+
"precision": 0.9483330083837005,
|
| 419 |
+
"recall": 0.9696486419137802,
|
| 420 |
+
"support": 20065.0
|
| 421 |
},
|
| 422 |
"eval_O": {
|
| 423 |
+
"f1-score": 0.8956965718453683,
|
| 424 |
+
"precision": 0.9243507715468574,
|
| 425 |
+
"recall": 0.8687654757693668,
|
| 426 |
+
"support": 8481.0
|
| 427 |
},
|
| 428 |
+
"eval_accuracy": 0.9385074226735028,
|
| 429 |
+
"eval_loss": 0.3531416654586792,
|
| 430 |
"eval_macro avg": {
|
| 431 |
+
"f1-score": 0.9156603938584458,
|
| 432 |
+
"precision": 0.9152175869093981,
|
| 433 |
+
"recall": 0.9170518101414866,
|
| 434 |
+
"support": 29841.0
|
| 435 |
+
},
|
| 436 |
+
"eval_runtime": 4.6508,
|
| 437 |
+
"eval_samples_per_second": 17.201,
|
| 438 |
+
"eval_steps_per_second": 2.15,
|
| 439 |
"eval_weighted avg": {
|
| 440 |
+
"f1-score": 0.938033267772811,
|
| 441 |
+
"precision": 0.9382465579853486,
|
| 442 |
+
"recall": 0.9385074226735028,
|
| 443 |
+
"support": 29841.0
|
| 444 |
},
|
| 445 |
"step": 891
|
| 446 |
},
|
| 447 |
{
|
| 448 |
"epoch": 12.0,
|
| 449 |
"eval_B": {
|
| 450 |
+
"f1-score": 0.8970199924556771,
|
| 451 |
+
"precision": 0.8768436578171092,
|
| 452 |
+
"recall": 0.9181467181467181,
|
| 453 |
+
"support": 1295.0
|
| 454 |
},
|
| 455 |
"eval_I": {
|
| 456 |
+
"f1-score": 0.9595004897159647,
|
| 457 |
+
"precision": 0.9431046931407943,
|
| 458 |
+
"recall": 0.9764764515325193,
|
| 459 |
+
"support": 20065.0
|
| 460 |
},
|
| 461 |
"eval_O": {
|
| 462 |
+
"f1-score": 0.8953122104873078,
|
| 463 |
+
"precision": 0.9400778210116731,
|
| 464 |
+
"recall": 0.8546162009197029,
|
| 465 |
+
"support": 8481.0
|
| 466 |
},
|
| 467 |
+
"eval_accuracy": 0.9393116852652391,
|
| 468 |
+
"eval_loss": 0.4237186312675476,
|
| 469 |
"eval_macro avg": {
|
| 470 |
+
"f1-score": 0.9172775642196499,
|
| 471 |
+
"precision": 0.9200087239898588,
|
| 472 |
+
"recall": 0.9164131235329801,
|
| 473 |
+
"support": 29841.0
|
| 474 |
+
},
|
| 475 |
+
"eval_runtime": 4.6388,
|
| 476 |
+
"eval_samples_per_second": 17.246,
|
| 477 |
+
"eval_steps_per_second": 2.156,
|
| 478 |
"eval_weighted avg": {
|
| 479 |
+
"f1-score": 0.9385463313402296,
|
| 480 |
+
"precision": 0.9393689288141548,
|
| 481 |
+
"recall": 0.9393116852652391,
|
| 482 |
+
"support": 29841.0
|
| 483 |
},
|
| 484 |
"step": 972
|
| 485 |
},
|
| 486 |
{
|
| 487 |
"epoch": 12.35,
|
| 488 |
+
"grad_norm": 0.5223535895347595,
|
| 489 |
"learning_rate": 1.506172839506173e-05,
|
| 490 |
+
"loss": 0.0196,
|
| 491 |
"step": 1000
|
| 492 |
},
|
| 493 |
{
|
| 494 |
"epoch": 13.0,
|
| 495 |
"eval_B": {
|
| 496 |
+
"f1-score": 0.8891411275066211,
|
| 497 |
+
"precision": 0.8716617210682492,
|
| 498 |
+
"recall": 0.9073359073359073,
|
| 499 |
+
"support": 1295.0
|
| 500 |
},
|
| 501 |
"eval_I": {
|
| 502 |
+
"f1-score": 0.9610692322951795,
|
| 503 |
+
"precision": 0.9563736860287223,
|
| 504 |
+
"recall": 0.9658111138798904,
|
| 505 |
+
"support": 20065.0
|
| 506 |
},
|
| 507 |
"eval_O": {
|
| 508 |
+
"f1-score": 0.9043145233678416,
|
| 509 |
+
"precision": 0.918104495747266,
|
| 510 |
+
"recall": 0.8909326730338404,
|
| 511 |
+
"support": 8481.0
|
| 512 |
},
|
| 513 |
+
"eval_accuracy": 0.9419925605710264,
|
| 514 |
+
"eval_loss": 0.4308999180793762,
|
| 515 |
"eval_macro avg": {
|
| 516 |
+
"f1-score": 0.9181749610565474,
|
| 517 |
+
"precision": 0.9153799676147458,
|
| 518 |
+
"recall": 0.9213598980832126,
|
| 519 |
+
"support": 29841.0
|
| 520 |
+
},
|
| 521 |
+
"eval_runtime": 4.6555,
|
| 522 |
+
"eval_samples_per_second": 17.184,
|
| 523 |
+
"eval_steps_per_second": 2.148,
|
| 524 |
"eval_weighted avg": {
|
| 525 |
+
"f1-score": 0.9418177466843106,
|
| 526 |
+
"precision": 0.9418211242043584,
|
| 527 |
+
"recall": 0.9419925605710264,
|
| 528 |
+
"support": 29841.0
|
| 529 |
},
|
| 530 |
"step": 1053
|
| 531 |
},
|
| 532 |
{
|
| 533 |
"epoch": 14.0,
|
| 534 |
"eval_B": {
|
| 535 |
+
"f1-score": 0.9025601834161253,
|
| 536 |
+
"precision": 0.8933434190620272,
|
| 537 |
+
"recall": 0.911969111969112,
|
| 538 |
+
"support": 1295.0
|
| 539 |
},
|
| 540 |
"eval_I": {
|
| 541 |
+
"f1-score": 0.960806215404473,
|
| 542 |
+
"precision": 0.9570764513895758,
|
| 543 |
+
"recall": 0.9645651632195366,
|
| 544 |
+
"support": 20065.0
|
| 545 |
},
|
| 546 |
"eval_O": {
|
| 547 |
+
"f1-score": 0.9030873763261413,
|
| 548 |
+
"precision": 0.9131011208870676,
|
| 549 |
+
"recall": 0.8932908855087843,
|
| 550 |
+
"support": 8481.0
|
| 551 |
},
|
| 552 |
+
"eval_accuracy": 0.9420260715123487,
|
| 553 |
+
"eval_loss": 0.4198700487613678,
|
| 554 |
"eval_macro avg": {
|
| 555 |
+
"f1-score": 0.9221512583822467,
|
| 556 |
+
"precision": 0.9211736637795568,
|
| 557 |
+
"recall": 0.9232750535658111,
|
| 558 |
+
"support": 29841.0
|
| 559 |
+
},
|
| 560 |
+
"eval_runtime": 4.6834,
|
| 561 |
+
"eval_samples_per_second": 17.082,
|
| 562 |
+
"eval_steps_per_second": 2.135,
|
| 563 |
"eval_weighted avg": {
|
| 564 |
+
"f1-score": 0.9418744743217934,
|
| 565 |
+
"precision": 0.9418125843993292,
|
| 566 |
+
"recall": 0.9420260715123487,
|
| 567 |
+
"support": 29841.0
|
| 568 |
},
|
| 569 |
"step": 1134
|
| 570 |
},
|
| 571 |
{
|
| 572 |
"epoch": 15.0,
|
| 573 |
"eval_B": {
|
| 574 |
+
"f1-score": 0.8935681470137825,
|
| 575 |
+
"precision": 0.8861047835990888,
|
| 576 |
+
"recall": 0.9011583011583012,
|
| 577 |
+
"support": 1295.0
|
| 578 |
},
|
| 579 |
"eval_I": {
|
| 580 |
+
"f1-score": 0.9633398694432723,
|
| 581 |
+
"precision": 0.9595530063291139,
|
| 582 |
+
"recall": 0.9671567405930726,
|
| 583 |
+
"support": 20065.0
|
| 584 |
},
|
| 585 |
"eval_O": {
|
| 586 |
+
"f1-score": 0.9100768726535964,
|
| 587 |
+
"precision": 0.92,
|
| 588 |
+
"recall": 0.9003655229336163,
|
| 589 |
+
"support": 8481.0
|
| 590 |
},
|
| 591 |
+
"eval_accuracy": 0.9453101437619382,
|
| 592 |
+
"eval_loss": 0.39179423451423645,
|
| 593 |
"eval_macro avg": {
|
| 594 |
+
"f1-score": 0.9223282963702171,
|
| 595 |
+
"precision": 0.9218859299760677,
|
| 596 |
+
"recall": 0.9228935215616634,
|
| 597 |
+
"support": 29841.0
|
| 598 |
+
},
|
| 599 |
+
"eval_runtime": 4.6645,
|
| 600 |
+
"eval_samples_per_second": 17.151,
|
| 601 |
+
"eval_steps_per_second": 2.144,
|
| 602 |
"eval_weighted avg": {
|
| 603 |
+
"f1-score": 0.945174330208011,
|
| 604 |
+
"precision": 0.9451243847979119,
|
| 605 |
+
"recall": 0.9453101437619382,
|
| 606 |
+
"support": 29841.0
|
| 607 |
},
|
| 608 |
"step": 1215
|
| 609 |
},
|
| 610 |
{
|
| 611 |
"epoch": 16.0,
|
| 612 |
"eval_B": {
|
| 613 |
+
"f1-score": 0.9022614028363357,
|
| 614 |
+
"precision": 0.895738203957382,
|
| 615 |
+
"recall": 0.9088803088803089,
|
| 616 |
+
"support": 1295.0
|
| 617 |
},
|
| 618 |
"eval_I": {
|
| 619 |
+
"f1-score": 0.9632045864531594,
|
| 620 |
+
"precision": 0.9552494853445741,
|
| 621 |
+
"recall": 0.9712932967854473,
|
| 622 |
+
"support": 20065.0
|
| 623 |
},
|
| 624 |
"eval_O": {
|
| 625 |
+
"f1-score": 0.9083463808262073,
|
| 626 |
+
"precision": 0.9282461538461538,
|
| 627 |
+
"recall": 0.8892819243013795,
|
| 628 |
+
"support": 8481.0
|
| 629 |
},
|
| 630 |
+
"eval_accuracy": 0.9452766328206159,
|
| 631 |
+
"eval_loss": 0.44052162766456604,
|
| 632 |
"eval_macro avg": {
|
| 633 |
+
"f1-score": 0.9246041233719008,
|
| 634 |
+
"precision": 0.92641128104937,
|
| 635 |
+
"recall": 0.9231518433223785,
|
| 636 |
+
"support": 29841.0
|
| 637 |
+
},
|
| 638 |
+
"eval_runtime": 4.6376,
|
| 639 |
+
"eval_samples_per_second": 17.25,
|
| 640 |
+
"eval_steps_per_second": 2.156,
|
| 641 |
"eval_weighted avg": {
|
| 642 |
+
"f1-score": 0.9449688080038458,
|
| 643 |
+
"precision": 0.944992377210312,
|
| 644 |
+
"recall": 0.9452766328206159,
|
| 645 |
+
"support": 29841.0
|
| 646 |
},
|
| 647 |
"step": 1296
|
| 648 |
},
|
| 649 |
{
|
| 650 |
"epoch": 17.0,
|
| 651 |
"eval_B": {
|
| 652 |
+
"f1-score": 0.8923649906890131,
|
| 653 |
+
"precision": 0.8618705035971223,
|
| 654 |
+
"recall": 0.9250965250965251,
|
| 655 |
+
"support": 1295.0
|
| 656 |
},
|
| 657 |
"eval_I": {
|
| 658 |
+
"f1-score": 0.9599605522682445,
|
| 659 |
+
"precision": 0.9498902171261283,
|
| 660 |
+
"recall": 0.97024669823075,
|
| 661 |
+
"support": 20065.0
|
| 662 |
},
|
| 663 |
"eval_O": {
|
| 664 |
+
"f1-score": 0.9001642635517431,
|
| 665 |
+
"precision": 0.9298642533936652,
|
| 666 |
+
"recall": 0.8723027944817828,
|
| 667 |
+
"support": 8481.0
|
| 668 |
},
|
| 669 |
+
"eval_accuracy": 0.9404510572701987,
|
| 670 |
+
"eval_loss": 0.4657233655452728,
|
| 671 |
"eval_macro avg": {
|
| 672 |
+
"f1-score": 0.9174966021696669,
|
| 673 |
+
"precision": 0.9138749913723053,
|
| 674 |
+
"recall": 0.9225486726030193,
|
| 675 |
+
"support": 29841.0
|
| 676 |
+
},
|
| 677 |
+
"eval_runtime": 4.6396,
|
| 678 |
+
"eval_samples_per_second": 17.243,
|
| 679 |
+
"eval_steps_per_second": 2.155,
|
| 680 |
"eval_weighted avg": {
|
| 681 |
+
"f1-score": 0.940032648483192,
|
| 682 |
+
"precision": 0.9403789498282803,
|
| 683 |
+
"recall": 0.9404510572701987,
|
| 684 |
+
"support": 29841.0
|
| 685 |
},
|
| 686 |
"step": 1377
|
| 687 |
},
|
| 688 |
{
|
| 689 |
"epoch": 18.0,
|
| 690 |
"eval_B": {
|
| 691 |
+
"f1-score": 0.9014302280633939,
|
| 692 |
+
"precision": 0.9024767801857585,
|
| 693 |
+
"recall": 0.9003861003861003,
|
| 694 |
+
"support": 1295.0
|
| 695 |
},
|
| 696 |
"eval_I": {
|
| 697 |
+
"f1-score": 0.9638021281301453,
|
| 698 |
+
"precision": 0.9506496024820632,
|
| 699 |
+
"recall": 0.9773236979815599,
|
| 700 |
+
"support": 20065.0
|
| 701 |
},
|
| 702 |
"eval_O": {
|
| 703 |
+
"f1-score": 0.9083038653822705,
|
| 704 |
+
"precision": 0.9404115641964399,
|
| 705 |
+
"recall": 0.87831623629289,
|
| 706 |
+
"support": 8481.0
|
| 707 |
},
|
| 708 |
+
"eval_accuracy": 0.9458463188230958,
|
| 709 |
+
"eval_loss": 0.4731404185295105,
|
| 710 |
"eval_macro avg": {
|
| 711 |
+
"f1-score": 0.9245120738586032,
|
| 712 |
+
"precision": 0.9311793156214204,
|
| 713 |
+
"recall": 0.9186753448868501,
|
| 714 |
+
"support": 29841.0
|
| 715 |
+
},
|
| 716 |
+
"eval_runtime": 4.6405,
|
| 717 |
+
"eval_samples_per_second": 17.24,
|
| 718 |
+
"eval_steps_per_second": 2.155,
|
| 719 |
"eval_weighted avg": {
|
| 720 |
+
"f1-score": 0.9453224398840687,
|
| 721 |
+
"precision": 0.9456493475450943,
|
| 722 |
+
"recall": 0.9458463188230958,
|
| 723 |
+
"support": 29841.0
|
| 724 |
},
|
| 725 |
"step": 1458
|
| 726 |
},
|
| 727 |
{
|
| 728 |
"epoch": 18.52,
|
| 729 |
+
"grad_norm": 1.548362135887146,
|
| 730 |
"learning_rate": 1.2592592592592593e-05,
|
| 731 |
+
"loss": 0.0038,
|
| 732 |
"step": 1500
|
| 733 |
},
|
| 734 |
{
|
| 735 |
"epoch": 19.0,
|
| 736 |
"eval_B": {
|
| 737 |
+
"f1-score": 0.8891402714932127,
|
| 738 |
+
"precision": 0.868828297715549,
|
| 739 |
+
"recall": 0.9104247104247104,
|
| 740 |
+
"support": 1295.0
|
| 741 |
},
|
| 742 |
"eval_I": {
|
| 743 |
+
"f1-score": 0.9603099696984749,
|
| 744 |
+
"precision": 0.9571718572065158,
|
| 745 |
+
"recall": 0.9634687266384251,
|
| 746 |
+
"support": 20065.0
|
| 747 |
},
|
| 748 |
"eval_O": {
|
| 749 |
+
"f1-score": 0.9027910305343512,
|
| 750 |
+
"precision": 0.913358271992277,
|
| 751 |
+
"recall": 0.8924655111425539,
|
| 752 |
+
"support": 8481.0
|
| 753 |
},
|
| 754 |
+
"eval_accuracy": 0.9409872323313562,
|
| 755 |
+
"eval_loss": 0.49517783522605896,
|
| 756 |
"eval_macro avg": {
|
| 757 |
+
"f1-score": 0.9174137572420129,
|
| 758 |
+
"precision": 0.9131194756381139,
|
| 759 |
+
"recall": 0.9221196494018965,
|
| 760 |
+
"support": 29841.0
|
| 761 |
+
},
|
| 762 |
+
"eval_runtime": 4.6377,
|
| 763 |
+
"eval_samples_per_second": 17.25,
|
| 764 |
+
"eval_steps_per_second": 2.156,
|
| 765 |
"eval_weighted avg": {
|
| 766 |
+
"f1-score": 0.9408741973642117,
|
| 767 |
+
"precision": 0.9408859443435835,
|
| 768 |
+
"recall": 0.9409872323313562,
|
| 769 |
+
"support": 29841.0
|
| 770 |
},
|
| 771 |
"step": 1539
|
| 772 |
},
|
| 773 |
{
|
| 774 |
"epoch": 20.0,
|
| 775 |
"eval_B": {
|
| 776 |
+
"f1-score": 0.899884925201381,
|
| 777 |
+
"precision": 0.8940548780487805,
|
| 778 |
+
"recall": 0.9057915057915058,
|
| 779 |
+
"support": 1295.0
|
| 780 |
},
|
| 781 |
"eval_I": {
|
| 782 |
+
"f1-score": 0.9634953846153845,
|
| 783 |
+
"precision": 0.951896887159533,
|
| 784 |
+
"recall": 0.9753800149514079,
|
| 785 |
+
"support": 20065.0
|
| 786 |
},
|
| 787 |
"eval_O": {
|
| 788 |
+
"f1-score": 0.9073556231003039,
|
| 789 |
+
"precision": 0.9365039528171665,
|
| 790 |
+
"recall": 0.8799669850253508,
|
| 791 |
+
"support": 8481.0
|
| 792 |
},
|
| 793 |
+
"eval_accuracy": 0.9452431218792936,
|
| 794 |
+
"eval_loss": 0.45907479524612427,
|
| 795 |
"eval_macro avg": {
|
| 796 |
+
"f1-score": 0.9235786443056897,
|
| 797 |
+
"precision": 0.9274852393418267,
|
| 798 |
+
"recall": 0.9203795019227549,
|
| 799 |
+
"support": 29841.0
|
| 800 |
+
},
|
| 801 |
+
"eval_runtime": 4.6356,
|
| 802 |
+
"eval_samples_per_second": 17.258,
|
| 803 |
+
"eval_steps_per_second": 2.157,
|
| 804 |
"eval_weighted avg": {
|
| 805 |
+
"f1-score": 0.9447796290324438,
|
| 806 |
+
"precision": 0.9450119678218422,
|
| 807 |
+
"recall": 0.9452431218792936,
|
| 808 |
+
"support": 29841.0
|
| 809 |
},
|
| 810 |
"step": 1620
|
| 811 |
},
|
| 812 |
{
|
| 813 |
"epoch": 21.0,
|
| 814 |
"eval_B": {
|
| 815 |
+
"f1-score": 0.8944337811900192,
|
| 816 |
+
"precision": 0.8893129770992366,
|
| 817 |
+
"recall": 0.8996138996138996,
|
| 818 |
+
"support": 1295.0
|
| 819 |
},
|
| 820 |
"eval_I": {
|
| 821 |
+
"f1-score": 0.9624703322784811,
|
| 822 |
+
"precision": 0.9549624687239366,
|
| 823 |
+
"recall": 0.9700971841515076,
|
| 824 |
+
"support": 20065.0
|
| 825 |
},
|
| 826 |
"eval_O": {
|
| 827 |
+
"f1-score": 0.9066089361958025,
|
| 828 |
+
"precision": 0.9251350024545901,
|
| 829 |
+
"recall": 0.8888102818063908,
|
| 830 |
+
"support": 8481.0
|
| 831 |
},
|
| 832 |
+
"eval_accuracy": 0.9439361951677223,
|
| 833 |
+
"eval_loss": 0.4614206850528717,
|
| 834 |
"eval_macro avg": {
|
| 835 |
+
"f1-score": 0.9211710165547675,
|
| 836 |
+
"precision": 0.9231368160925877,
|
| 837 |
+
"recall": 0.9195071218572659,
|
| 838 |
+
"support": 29841.0
|
| 839 |
+
},
|
| 840 |
+
"eval_runtime": 4.6636,
|
| 841 |
+
"eval_samples_per_second": 17.154,
|
| 842 |
+
"eval_steps_per_second": 2.144,
|
| 843 |
"eval_weighted avg": {
|
| 844 |
+
"f1-score": 0.9436416122678664,
|
| 845 |
+
"precision": 0.9436363458364894,
|
| 846 |
+
"recall": 0.9439361951677223,
|
| 847 |
+
"support": 29841.0
|
| 848 |
},
|
| 849 |
"step": 1701
|
| 850 |
},
|
| 851 |
{
|
| 852 |
"epoch": 22.0,
|
| 853 |
"eval_B": {
|
| 854 |
+
"f1-score": 0.9011072928598702,
|
| 855 |
+
"precision": 0.8912386706948641,
|
| 856 |
+
"recall": 0.9111969111969112,
|
| 857 |
+
"support": 1295.0
|
| 858 |
},
|
| 859 |
"eval_I": {
|
| 860 |
+
"f1-score": 0.9635141147970535,
|
| 861 |
+
"precision": 0.9558585511795576,
|
| 862 |
+
"recall": 0.9712932967854473,
|
| 863 |
+
"support": 20065.0
|
| 864 |
},
|
| 865 |
"eval_O": {
|
| 866 |
+
"f1-score": 0.9095068938527304,
|
| 867 |
+
"precision": 0.9292568897637795,
|
| 868 |
+
"recall": 0.8905789411625987,
|
| 869 |
+
"support": 8481.0
|
| 870 |
},
|
| 871 |
+
"eval_accuracy": 0.9457457859991287,
|
| 872 |
+
"eval_loss": 0.4724768102169037,
|
| 873 |
"eval_macro avg": {
|
| 874 |
+
"f1-score": 0.9247094338365515,
|
| 875 |
+
"precision": 0.9254513705460671,
|
| 876 |
+
"recall": 0.9243563830483191,
|
| 877 |
+
"support": 29841.0
|
| 878 |
+
},
|
| 879 |
+
"eval_runtime": 4.6333,
|
| 880 |
+
"eval_samples_per_second": 17.266,
|
| 881 |
+
"eval_steps_per_second": 2.158,
|
| 882 |
"eval_weighted avg": {
|
| 883 |
+
"f1-score": 0.9454566745223489,
|
| 884 |
+
"precision": 0.9454939040264833,
|
| 885 |
+
"recall": 0.9457457859991287,
|
| 886 |
+
"support": 29841.0
|
| 887 |
},
|
| 888 |
"step": 1782
|
| 889 |
},
|
| 890 |
{
|
| 891 |
"epoch": 23.0,
|
| 892 |
"eval_B": {
|
| 893 |
+
"f1-score": 0.8956916099773242,
|
| 894 |
+
"precision": 0.8771280532938565,
|
| 895 |
+
"recall": 0.915057915057915,
|
| 896 |
+
"support": 1295.0
|
| 897 |
},
|
| 898 |
"eval_I": {
|
| 899 |
+
"f1-score": 0.9624542808091362,
|
| 900 |
+
"precision": 0.9609957269204015,
|
| 901 |
+
"recall": 0.9639172688761525,
|
| 902 |
+
"support": 20065.0
|
| 903 |
},
|
| 904 |
"eval_O": {
|
| 905 |
+
"f1-score": 0.9084001187295934,
|
| 906 |
+
"precision": 0.914753706360593,
|
| 907 |
+
"recall": 0.9021341822898243,
|
| 908 |
+
"support": 8481.0
|
| 909 |
},
|
| 910 |
+
"eval_accuracy": 0.9442377936396233,
|
| 911 |
+
"eval_loss": 0.47468113899230957,
|
| 912 |
"eval_macro avg": {
|
| 913 |
+
"f1-score": 0.9221820031720179,
|
| 914 |
+
"precision": 0.9176258288582838,
|
| 915 |
+
"recall": 0.927036455407964,
|
| 916 |
+
"support": 29841.0
|
| 917 |
+
},
|
| 918 |
+
"eval_runtime": 4.6476,
|
| 919 |
+
"eval_samples_per_second": 17.213,
|
| 920 |
+
"eval_steps_per_second": 2.152,
|
| 921 |
"eval_weighted avg": {
|
| 922 |
+
"f1-score": 0.9441944702356367,
|
| 923 |
+
"precision": 0.9442138759866489,
|
| 924 |
+
"recall": 0.9442377936396233,
|
| 925 |
+
"support": 29841.0
|
| 926 |
},
|
| 927 |
"step": 1863
|
| 928 |
},
|
| 929 |
{
|
| 930 |
"epoch": 24.0,
|
| 931 |
"eval_B": {
|
| 932 |
+
"f1-score": 0.9008390541571321,
|
| 933 |
+
"precision": 0.8899773926149209,
|
| 934 |
+
"recall": 0.911969111969112,
|
| 935 |
+
"support": 1295.0
|
| 936 |
},
|
| 937 |
"eval_I": {
|
| 938 |
+
"f1-score": 0.9639726399486381,
|
| 939 |
+
"precision": 0.9553151918559123,
|
| 940 |
+
"recall": 0.9727884375778719,
|
| 941 |
+
"support": 20065.0
|
| 942 |
},
|
| 943 |
"eval_O": {
|
| 944 |
+
"f1-score": 0.9101008271448409,
|
| 945 |
+
"precision": 0.9325661964860184,
|
| 946 |
+
"recall": 0.8886923711826435,
|
| 947 |
+
"support": 8481.0
|
| 948 |
},
|
| 949 |
+
"eval_accuracy": 0.9462484501189639,
|
| 950 |
+
"eval_loss": 0.4712923467159271,
|
| 951 |
"eval_macro avg": {
|
| 952 |
+
"f1-score": 0.9249708404168704,
|
| 953 |
+
"precision": 0.9259529269856172,
|
| 954 |
+
"recall": 0.9244833069098758,
|
| 955 |
+
"support": 29841.0
|
| 956 |
},
|
| 957 |
+
"eval_runtime": 4.6509,
|
| 958 |
+
"eval_samples_per_second": 17.201,
|
| 959 |
+
"eval_steps_per_second": 2.15,
|
| 960 |
"eval_weighted avg": {
|
| 961 |
+
"f1-score": 0.9459221443892064,
|
| 962 |
+
"precision": 0.9460143413566277,
|
| 963 |
+
"recall": 0.9462484501189639,
|
| 964 |
+
"support": 29841.0
|
| 965 |
},
|
| 966 |
"step": 1944
|
| 967 |
},
|
| 968 |
{
|
| 969 |
"epoch": 24.69,
|
| 970 |
+
"grad_norm": 0.04072243347764015,
|
| 971 |
"learning_rate": 1.0123456790123458e-05,
|
| 972 |
+
"loss": 0.0014,
|
| 973 |
"step": 2000
|
| 974 |
},
|
| 975 |
{
|
| 976 |
"epoch": 25.0,
|
| 977 |
"eval_B": {
|
| 978 |
+
"f1-score": 0.8943768996960487,
|
| 979 |
+
"precision": 0.8803290949887809,
|
| 980 |
+
"recall": 0.9088803088803089,
|
| 981 |
+
"support": 1295.0
|
| 982 |
},
|
| 983 |
"eval_I": {
|
| 984 |
+
"f1-score": 0.9629187495336865,
|
| 985 |
+
"precision": 0.9610305798252582,
|
| 986 |
+
"recall": 0.9648143533516073,
|
| 987 |
+
"support": 20065.0
|
| 988 |
},
|
| 989 |
"eval_O": {
|
| 990 |
+
"f1-score": 0.9089721512974288,
|
| 991 |
+
"precision": 0.9155502392344498,
|
| 992 |
+
"recall": 0.9024879141610659,
|
| 993 |
+
"support": 8481.0
|
| 994 |
},
|
| 995 |
+
"eval_accuracy": 0.9446734358768137,
|
| 996 |
+
"eval_loss": 0.48565673828125,
|
| 997 |
"eval_macro avg": {
|
| 998 |
+
"f1-score": 0.922089266842388,
|
| 999 |
+
"precision": 0.9189699713494962,
|
| 1000 |
+
"recall": 0.925394192130994,
|
| 1001 |
+
"support": 29841.0
|
| 1002 |
+
},
|
| 1003 |
+
"eval_runtime": 4.6314,
|
| 1004 |
+
"eval_samples_per_second": 17.274,
|
| 1005 |
+
"eval_steps_per_second": 2.159,
|
| 1006 |
"eval_weighted avg": {
|
| 1007 |
+
"f1-score": 0.9446122988389564,
|
| 1008 |
+
"precision": 0.944602605179171,
|
| 1009 |
+
"recall": 0.9446734358768137,
|
| 1010 |
+
"support": 29841.0
|
| 1011 |
},
|
| 1012 |
"step": 2025
|
| 1013 |
},
|
| 1014 |
{
|
| 1015 |
"epoch": 26.0,
|
| 1016 |
"eval_B": {
|
| 1017 |
+
"f1-score": 0.897679726131609,
|
| 1018 |
+
"precision": 0.8845577211394303,
|
| 1019 |
+
"recall": 0.9111969111969112,
|
| 1020 |
+
"support": 1295.0
|
| 1021 |
},
|
| 1022 |
"eval_I": {
|
| 1023 |
+
"f1-score": 0.962990450744644,
|
| 1024 |
+
"precision": 0.9560839023431743,
|
| 1025 |
+
"recall": 0.9699975080986792,
|
| 1026 |
+
"support": 20065.0
|
| 1027 |
},
|
| 1028 |
"eval_O": {
|
| 1029 |
+
"f1-score": 0.9077024833142927,
|
| 1030 |
+
"precision": 0.9261349693251534,
|
| 1031 |
+
"recall": 0.8899893880438627,
|
| 1032 |
+
"support": 8481.0
|
| 1033 |
},
|
| 1034 |
+
"eval_accuracy": 0.9447069468181362,
|
| 1035 |
+
"eval_loss": 0.4857862889766693,
|
| 1036 |
"eval_macro avg": {
|
| 1037 |
+
"f1-score": 0.9227908867301818,
|
| 1038 |
+
"precision": 0.9222588642692527,
|
| 1039 |
+
"recall": 0.9237279357798177,
|
| 1040 |
+
"support": 29841.0
|
| 1041 |
+
},
|
| 1042 |
+
"eval_runtime": 4.7085,
|
| 1043 |
+
"eval_samples_per_second": 16.991,
|
| 1044 |
+
"eval_steps_per_second": 2.124,
|
| 1045 |
"eval_weighted avg": {
|
| 1046 |
+
"f1-score": 0.94444299455515,
|
| 1047 |
+
"precision": 0.9444682290887698,
|
| 1048 |
+
"recall": 0.9447069468181362,
|
| 1049 |
+
"support": 29841.0
|
| 1050 |
},
|
| 1051 |
"step": 2106
|
| 1052 |
},
|
| 1053 |
{
|
| 1054 |
"epoch": 27.0,
|
| 1055 |
"eval_B": {
|
| 1056 |
+
"f1-score": 0.8986280487804879,
|
| 1057 |
+
"precision": 0.8871331828442438,
|
| 1058 |
+
"recall": 0.9104247104247104,
|
| 1059 |
+
"support": 1295.0
|
| 1060 |
},
|
| 1061 |
"eval_I": {
|
| 1062 |
+
"f1-score": 0.9620497586334943,
|
| 1063 |
+
"precision": 0.9557796360059027,
|
| 1064 |
+
"recall": 0.9684026912534264,
|
| 1065 |
+
"support": 20065.0
|
| 1066 |
},
|
| 1067 |
"eval_O": {
|
| 1068 |
+
"f1-score": 0.9053591790193843,
|
| 1069 |
+
"precision": 0.9219017355169885,
|
| 1070 |
+
"recall": 0.8893998349251268,
|
| 1071 |
+
"support": 8481.0
|
| 1072 |
},
|
| 1073 |
+
"eval_accuracy": 0.9434335310478872,
|
| 1074 |
+
"eval_loss": 0.4996240735054016,
|
| 1075 |
"eval_macro avg": {
|
| 1076 |
+
"f1-score": 0.9220123288111223,
|
| 1077 |
+
"precision": 0.9216048514557116,
|
| 1078 |
+
"recall": 0.9227424122010879,
|
| 1079 |
+
"support": 29841.0
|
| 1080 |
+
},
|
| 1081 |
+
"eval_runtime": 4.6631,
|
| 1082 |
+
"eval_samples_per_second": 17.156,
|
| 1083 |
+
"eval_steps_per_second": 2.145,
|
| 1084 |
"eval_weighted avg": {
|
| 1085 |
+
"f1-score": 0.9431856481825407,
|
| 1086 |
+
"precision": 0.9431722960745722,
|
| 1087 |
+
"recall": 0.9434335310478872,
|
| 1088 |
+
"support": 29841.0
|
| 1089 |
},
|
| 1090 |
"step": 2187
|
| 1091 |
},
|
| 1092 |
{
|
| 1093 |
"epoch": 28.0,
|
| 1094 |
"eval_B": {
|
| 1095 |
+
"f1-score": 0.8919434898816342,
|
| 1096 |
+
"precision": 0.8821752265861027,
|
| 1097 |
+
"recall": 0.901930501930502,
|
| 1098 |
+
"support": 1295.0
|
| 1099 |
},
|
| 1100 |
"eval_I": {
|
| 1101 |
+
"f1-score": 0.9604717405427016,
|
| 1102 |
+
"precision": 0.9630706017938568,
|
| 1103 |
+
"recall": 0.9578868676800398,
|
| 1104 |
+
"support": 20065.0
|
| 1105 |
},
|
| 1106 |
"eval_O": {
|
| 1107 |
+
"f1-score": 0.9045243823719267,
|
| 1108 |
+
"precision": 0.9003504672897197,
|
| 1109 |
+
"recall": 0.9087371772196675,
|
| 1110 |
+
"support": 8481.0
|
| 1111 |
},
|
| 1112 |
+
"eval_accuracy": 0.9414898964511913,
|
| 1113 |
+
"eval_loss": 0.4974842071533203,
|
| 1114 |
"eval_macro avg": {
|
| 1115 |
+
"f1-score": 0.9189798709320876,
|
| 1116 |
+
"precision": 0.9151987652232264,
|
| 1117 |
+
"recall": 0.9228515156100698,
|
| 1118 |
+
"support": 29841.0
|
| 1119 |
+
},
|
| 1120 |
+
"eval_runtime": 4.6318,
|
| 1121 |
+
"eval_samples_per_second": 17.272,
|
| 1122 |
+
"eval_steps_per_second": 2.159,
|
| 1123 |
"eval_weighted avg": {
|
| 1124 |
+
"f1-score": 0.941597251442054,
|
| 1125 |
+
"precision": 0.9417345550251954,
|
| 1126 |
+
"recall": 0.9414898964511913,
|
| 1127 |
+
"support": 29841.0
|
| 1128 |
},
|
| 1129 |
"step": 2268
|
| 1130 |
},
|
| 1131 |
{
|
| 1132 |
"epoch": 29.0,
|
| 1133 |
"eval_B": {
|
| 1134 |
+
"f1-score": 0.9026415094339624,
|
| 1135 |
+
"precision": 0.8826568265682657,
|
| 1136 |
+
"recall": 0.9235521235521236,
|
| 1137 |
+
"support": 1295.0
|
| 1138 |
},
|
| 1139 |
"eval_I": {
|
| 1140 |
+
"f1-score": 0.963459587838005,
|
| 1141 |
+
"precision": 0.9565730005895068,
|
| 1142 |
+
"recall": 0.9704460503364066,
|
| 1143 |
+
"support": 20065.0
|
| 1144 |
},
|
| 1145 |
"eval_O": {
|
| 1146 |
+
"f1-score": 0.9098789958461262,
|
| 1147 |
+
"precision": 0.929520295202952,
|
| 1148 |
+
"recall": 0.8910505836575876,
|
| 1149 |
+
"support": 8481.0
|
| 1150 |
},
|
| 1151 |
+
"eval_accuracy": 0.9458463188230958,
|
| 1152 |
+
"eval_loss": 0.4864692687988281,
|
| 1153 |
"eval_macro avg": {
|
| 1154 |
+
"f1-score": 0.9253266977060312,
|
| 1155 |
+
"precision": 0.9229167074535748,
|
| 1156 |
+
"recall": 0.9283495858487059,
|
| 1157 |
+
"support": 29841.0
|
| 1158 |
+
},
|
| 1159 |
+
"eval_runtime": 4.6138,
|
| 1160 |
+
"eval_samples_per_second": 17.339,
|
| 1161 |
+
"eval_steps_per_second": 2.167,
|
| 1162 |
"eval_weighted avg": {
|
| 1163 |
+
"f1-score": 0.9455923443737659,
|
| 1164 |
+
"precision": 0.9456767357277099,
|
| 1165 |
+
"recall": 0.9458463188230958,
|
| 1166 |
+
"support": 29841.0
|
| 1167 |
},
|
| 1168 |
"step": 2349
|
| 1169 |
},
|
| 1170 |
{
|
| 1171 |
"epoch": 30.0,
|
| 1172 |
"eval_B": {
|
| 1173 |
+
"f1-score": 0.8974650018917897,
|
| 1174 |
+
"precision": 0.8798219584569733,
|
| 1175 |
+
"recall": 0.9158301158301159,
|
| 1176 |
+
"support": 1295.0
|
| 1177 |
},
|
| 1178 |
"eval_I": {
|
| 1179 |
+
"f1-score": 0.9618674357267865,
|
| 1180 |
+
"precision": 0.9515704252828716,
|
| 1181 |
+
"recall": 0.9723897333665587,
|
| 1182 |
+
"support": 20065.0
|
| 1183 |
},
|
| 1184 |
"eval_O": {
|
| 1185 |
+
"f1-score": 0.9045537340619307,
|
| 1186 |
+
"precision": 0.9324070597070973,
|
| 1187 |
+
"recall": 0.87831623629289,
|
| 1188 |
+
"support": 8481.0
|
| 1189 |
},
|
| 1190 |
+
"eval_accuracy": 0.9431989544586308,
|
| 1191 |
+
"eval_loss": 0.5332404375076294,
|
| 1192 |
"eval_macro avg": {
|
| 1193 |
+
"f1-score": 0.921295390560169,
|
| 1194 |
+
"precision": 0.9212664811489807,
|
| 1195 |
+
"recall": 0.9221786951631882,
|
| 1196 |
+
"support": 29841.0
|
| 1197 |
+
},
|
| 1198 |
+
"eval_runtime": 4.6482,
|
| 1199 |
+
"eval_samples_per_second": 17.211,
|
| 1200 |
+
"eval_steps_per_second": 2.151,
|
| 1201 |
"eval_weighted avg": {
|
| 1202 |
+
"f1-score": 0.9427836699134436,
|
| 1203 |
+
"precision": 0.9430104317173852,
|
| 1204 |
+
"recall": 0.9431989544586308,
|
| 1205 |
+
"support": 29841.0
|
| 1206 |
},
|
| 1207 |
"step": 2430
|
| 1208 |
},
|
| 1209 |
{
|
| 1210 |
"epoch": 30.86,
|
| 1211 |
+
"grad_norm": 0.05446575954556465,
|
| 1212 |
"learning_rate": 7.654320987654322e-06,
|
| 1213 |
+
"loss": 0.0008,
|
| 1214 |
"step": 2500
|
| 1215 |
},
|
| 1216 |
{
|
| 1217 |
"epoch": 31.0,
|
| 1218 |
"eval_B": {
|
| 1219 |
+
"f1-score": 0.9002674818494459,
|
| 1220 |
+
"precision": 0.8910741301059002,
|
| 1221 |
+
"recall": 0.9096525096525097,
|
| 1222 |
+
"support": 1295.0
|
| 1223 |
},
|
| 1224 |
"eval_I": {
|
| 1225 |
+
"f1-score": 0.9637251998815517,
|
| 1226 |
+
"precision": 0.9544454763184906,
|
| 1227 |
+
"recall": 0.9731871417891852,
|
| 1228 |
+
"support": 20065.0
|
| 1229 |
},
|
| 1230 |
"eval_O": {
|
| 1231 |
+
"f1-score": 0.9096185236684602,
|
| 1232 |
+
"precision": 0.9333746898263028,
|
| 1233 |
+
"recall": 0.8870416224501828,
|
| 1234 |
+
"support": 8481.0
|
| 1235 |
},
|
| 1236 |
+
"eval_accuracy": 0.9459468516470627,
|
| 1237 |
+
"eval_loss": 0.512050986289978,
|
| 1238 |
"eval_macro avg": {
|
| 1239 |
+
"f1-score": 0.9245370684664859,
|
| 1240 |
+
"precision": 0.9262980987502312,
|
| 1241 |
+
"recall": 0.9232937579639593,
|
| 1242 |
+
"support": 29841.0
|
| 1243 |
+
},
|
| 1244 |
+
"eval_runtime": 4.6554,
|
| 1245 |
+
"eval_samples_per_second": 17.184,
|
| 1246 |
+
"eval_steps_per_second": 2.148,
|
| 1247 |
"eval_weighted avg": {
|
| 1248 |
+
"f1-score": 0.9455938884035581,
|
| 1249 |
+
"precision": 0.945706920855016,
|
| 1250 |
+
"recall": 0.9459468516470627,
|
| 1251 |
+
"support": 29841.0
|
| 1252 |
},
|
| 1253 |
"step": 2511
|
| 1254 |
},
|
| 1255 |
{
|
| 1256 |
"epoch": 32.0,
|
| 1257 |
"eval_B": {
|
| 1258 |
+
"f1-score": 0.8938120702826584,
|
| 1259 |
+
"precision": 0.8843537414965986,
|
| 1260 |
+
"recall": 0.9034749034749034,
|
| 1261 |
+
"support": 1295.0
|
| 1262 |
},
|
| 1263 |
"eval_I": {
|
| 1264 |
+
"f1-score": 0.9597342259079783,
|
| 1265 |
+
"precision": 0.962041163803896,
|
| 1266 |
+
"recall": 0.9574383254423124,
|
| 1267 |
+
"support": 20065.0
|
| 1268 |
},
|
| 1269 |
"eval_O": {
|
| 1270 |
+
"f1-score": 0.903112155020552,
|
| 1271 |
+
"precision": 0.8995204117440636,
|
| 1272 |
+
"recall": 0.9067326966159651,
|
| 1273 |
+
"support": 8481.0
|
| 1274 |
},
|
| 1275 |
+
"eval_accuracy": 0.9406856338594551,
|
| 1276 |
+
"eval_loss": 0.5488592982292175,
|
| 1277 |
"eval_macro avg": {
|
| 1278 |
+
"f1-score": 0.9188861504037296,
|
| 1279 |
+
"precision": 0.9153051056815195,
|
| 1280 |
+
"recall": 0.9225486418443937,
|
| 1281 |
+
"support": 29841.0
|
| 1282 |
+
},
|
| 1283 |
+
"eval_runtime": 4.6459,
|
| 1284 |
+
"eval_samples_per_second": 17.22,
|
| 1285 |
+
"eval_steps_per_second": 2.152,
|
| 1286 |
"eval_weighted avg": {
|
| 1287 |
+
"f1-score": 0.9407810750507332,
|
| 1288 |
+
"precision": 0.9409009972509189,
|
| 1289 |
+
"recall": 0.9406856338594551,
|
| 1290 |
+
"support": 29841.0
|
| 1291 |
},
|
| 1292 |
"step": 2592
|
| 1293 |
},
|
| 1294 |
{
|
| 1295 |
"epoch": 33.0,
|
| 1296 |
"eval_B": {
|
| 1297 |
+
"f1-score": 0.9014084507042254,
|
| 1298 |
+
"precision": 0.8888888888888888,
|
| 1299 |
+
"recall": 0.9142857142857143,
|
| 1300 |
+
"support": 1295.0
|
| 1301 |
},
|
| 1302 |
"eval_I": {
|
| 1303 |
+
"f1-score": 0.963593310640817,
|
| 1304 |
+
"precision": 0.9538994969966303,
|
| 1305 |
+
"recall": 0.9734861699476701,
|
| 1306 |
+
"support": 20065.0
|
| 1307 |
},
|
| 1308 |
"eval_O": {
|
| 1309 |
+
"f1-score": 0.9089808030036942,
|
| 1310 |
+
"precision": 0.9343874501992032,
|
| 1311 |
+
"recall": 0.8849192312227332,
|
| 1312 |
+
"support": 8481.0
|
| 1313 |
},
|
| 1314 |
+
"eval_accuracy": 0.9457457859991287,
|
| 1315 |
+
"eval_loss": 0.518332839012146,
|
| 1316 |
"eval_macro avg": {
|
| 1317 |
+
"f1-score": 0.9246608547829123,
|
| 1318 |
+
"precision": 0.9257252786949075,
|
| 1319 |
+
"recall": 0.9242303718187058,
|
| 1320 |
+
"support": 29841.0
|
| 1321 |
+
},
|
| 1322 |
+
"eval_runtime": 4.6621,
|
| 1323 |
+
"eval_samples_per_second": 17.16,
|
| 1324 |
+
"eval_steps_per_second": 2.145,
|
| 1325 |
"eval_weighted avg": {
|
| 1326 |
+
"f1-score": 0.945373476490208,
|
| 1327 |
+
"precision": 0.9455328066582199,
|
| 1328 |
+
"recall": 0.9457457859991287,
|
| 1329 |
+
"support": 29841.0
|
| 1330 |
},
|
| 1331 |
"step": 2673
|
| 1332 |
},
|
| 1333 |
{
|
| 1334 |
"epoch": 34.0,
|
| 1335 |
"eval_B": {
|
| 1336 |
+
"f1-score": 0.9016641452344931,
|
| 1337 |
+
"precision": 0.8836174944403261,
|
| 1338 |
+
"recall": 0.9204633204633205,
|
| 1339 |
+
"support": 1295.0
|
| 1340 |
},
|
| 1341 |
"eval_I": {
|
| 1342 |
+
"f1-score": 0.9637216189536032,
|
| 1343 |
+
"precision": 0.9545343436812516,
|
| 1344 |
+
"recall": 0.9730874657363568,
|
| 1345 |
+
"support": 20065.0
|
| 1346 |
},
|
| 1347 |
"eval_O": {
|
| 1348 |
+
"f1-score": 0.9093110546070954,
|
| 1349 |
+
"precision": 0.934428269254697,
|
| 1350 |
+
"recall": 0.8855087843414692,
|
| 1351 |
+
"support": 8481.0
|
| 1352 |
},
|
| 1353 |
+
"eval_accuracy": 0.9459133407057404,
|
| 1354 |
+
"eval_loss": 0.5136498808860779,
|
| 1355 |
"eval_macro avg": {
|
| 1356 |
+
"f1-score": 0.9248989395983972,
|
| 1357 |
+
"precision": 0.9241933691254248,
|
| 1358 |
+
"recall": 0.9263531901803822,
|
| 1359 |
+
"support": 29841.0
|
| 1360 |
+
},
|
| 1361 |
+
"eval_runtime": 4.6341,
|
| 1362 |
+
"eval_samples_per_second": 17.263,
|
| 1363 |
+
"eval_steps_per_second": 2.158,
|
| 1364 |
"eval_weighted avg": {
|
| 1365 |
+
"f1-score": 0.9455647064946046,
|
| 1366 |
+
"precision": 0.9457425157606522,
|
| 1367 |
+
"recall": 0.9459133407057404,
|
| 1368 |
+
"support": 29841.0
|
| 1369 |
},
|
| 1370 |
"step": 2754
|
| 1371 |
},
|
| 1372 |
{
|
| 1373 |
"epoch": 35.0,
|
| 1374 |
"eval_B": {
|
| 1375 |
+
"f1-score": 0.9019157088122605,
|
| 1376 |
+
"precision": 0.8950570342205323,
|
| 1377 |
+
"recall": 0.9088803088803089,
|
| 1378 |
+
"support": 1295.0
|
| 1379 |
},
|
| 1380 |
"eval_I": {
|
| 1381 |
+
"f1-score": 0.9609330316066944,
|
| 1382 |
+
"precision": 0.9589537423069288,
|
| 1383 |
+
"recall": 0.9629205083478695,
|
| 1384 |
+
"support": 20065.0
|
| 1385 |
},
|
| 1386 |
"eval_O": {
|
| 1387 |
+
"f1-score": 0.90479862388042,
|
| 1388 |
+
"precision": 0.9103604678920983,
|
| 1389 |
+
"recall": 0.8993043273198915,
|
| 1390 |
+
"support": 8481.0
|
| 1391 |
},
|
| 1392 |
+
"eval_accuracy": 0.9424952246908616,
|
| 1393 |
+
"eval_loss": 0.5342629551887512,
|
| 1394 |
"eval_macro avg": {
|
| 1395 |
+
"f1-score": 0.922549121433125,
|
| 1396 |
+
"precision": 0.9214570814731865,
|
| 1397 |
+
"recall": 0.9237017148493566,
|
| 1398 |
+
"support": 29841.0
|
| 1399 |
+
},
|
| 1400 |
+
"eval_runtime": 4.6532,
|
| 1401 |
+
"eval_samples_per_second": 17.193,
|
| 1402 |
+
"eval_steps_per_second": 2.149,
|
| 1403 |
"eval_weighted avg": {
|
| 1404 |
+
"f1-score": 0.9424181244338341,
|
| 1405 |
+
"precision": 0.9423703236117087,
|
| 1406 |
+
"recall": 0.9424952246908616,
|
| 1407 |
+
"support": 29841.0
|
| 1408 |
},
|
| 1409 |
"step": 2835
|
| 1410 |
},
|
| 1411 |
{
|
| 1412 |
"epoch": 36.0,
|
| 1413 |
"eval_B": {
|
| 1414 |
+
"f1-score": 0.8977099236641222,
|
| 1415 |
+
"precision": 0.8875471698113208,
|
| 1416 |
+
"recall": 0.9081081081081082,
|
| 1417 |
+
"support": 1295.0
|
| 1418 |
},
|
| 1419 |
"eval_I": {
|
| 1420 |
+
"f1-score": 0.9619323959030825,
|
| 1421 |
+
"precision": 0.9573501826438938,
|
| 1422 |
+
"recall": 0.9665586842761027,
|
| 1423 |
+
"support": 20065.0
|
| 1424 |
},
|
| 1425 |
"eval_O": {
|
| 1426 |
+
"f1-score": 0.9061473206284726,
|
| 1427 |
+
"precision": 0.9183821748607411,
|
| 1428 |
+
"recall": 0.894234170498762,
|
| 1429 |
+
"support": 8481.0
|
| 1430 |
},
|
| 1431 |
+
"eval_accuracy": 0.9434670419892095,
|
| 1432 |
+
"eval_loss": 0.5332928895950317,
|
| 1433 |
"eval_macro avg": {
|
| 1434 |
+
"f1-score": 0.9219298800652257,
|
| 1435 |
+
"precision": 0.9210931757719852,
|
| 1436 |
+
"recall": 0.9229669876276576,
|
| 1437 |
+
"support": 29841.0
|
| 1438 |
+
},
|
| 1439 |
+
"eval_runtime": 4.6471,
|
| 1440 |
+
"eval_samples_per_second": 17.215,
|
| 1441 |
+
"eval_steps_per_second": 2.152,
|
| 1442 |
"eval_weighted avg": {
|
| 1443 |
+
"f1-score": 0.943290885063854,
|
| 1444 |
+
"precision": 0.9432460113484581,
|
| 1445 |
+
"recall": 0.9434670419892095,
|
| 1446 |
+
"support": 29841.0
|
| 1447 |
},
|
| 1448 |
"step": 2916
|
| 1449 |
},
|
| 1450 |
{
|
| 1451 |
"epoch": 37.0,
|
| 1452 |
"eval_B": {
|
| 1453 |
+
"f1-score": 0.8917982287254526,
|
| 1454 |
+
"precision": 0.8894009216589862,
|
| 1455 |
+
"recall": 0.8942084942084942,
|
| 1456 |
+
"support": 1295.0
|
| 1457 |
},
|
| 1458 |
"eval_I": {
|
| 1459 |
+
"f1-score": 0.9575175655739755,
|
| 1460 |
+
"precision": 0.9608089120835006,
|
| 1461 |
+
"recall": 0.9542486917518066,
|
| 1462 |
+
"support": 20065.0
|
| 1463 |
},
|
| 1464 |
"eval_O": {
|
| 1465 |
+
"f1-score": 0.8977299321319915,
|
| 1466 |
+
"precision": 0.8909534316571827,
|
| 1467 |
+
"recall": 0.9046103053885155,
|
| 1468 |
+
"support": 8481.0
|
| 1469 |
},
|
| 1470 |
+
"eval_accuracy": 0.937535605375155,
|
| 1471 |
+
"eval_loss": 0.5845798254013062,
|
| 1472 |
"eval_macro avg": {
|
| 1473 |
+
"f1-score": 0.9156819088104732,
|
| 1474 |
+
"precision": 0.9137210884665565,
|
| 1475 |
+
"recall": 0.9176891637829389,
|
| 1476 |
+
"support": 29841.0
|
| 1477 |
+
},
|
| 1478 |
+
"eval_runtime": 4.6742,
|
| 1479 |
+
"eval_samples_per_second": 17.115,
|
| 1480 |
+
"eval_steps_per_second": 2.139,
|
| 1481 |
"eval_weighted avg": {
|
| 1482 |
+
"f1-score": 0.937673543576043,
|
| 1483 |
+
"precision": 0.9378566759957238,
|
| 1484 |
+
"recall": 0.937535605375155,
|
| 1485 |
+
"support": 29841.0
|
| 1486 |
},
|
| 1487 |
"step": 2997
|
| 1488 |
}
|
|
|
|
| 1492 |
"num_input_tokens_seen": 0,
|
| 1493 |
"num_train_epochs": 50,
|
| 1494 |
"save_steps": 500,
|
| 1495 |
+
"total_flos": 5320106151217200.0,
|
| 1496 |
"train_batch_size": 4,
|
| 1497 |
"trial_name": null,
|
| 1498 |
"trial_params": null
|
checkpoint-2997/training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4856
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d229d7bc9127d222c880edfd3fa9418a9ccede656fe27f7f0aa04990c9605be4
|
| 3 |
size 4856
|