Commit
•
c2b56bc
1
Parent(s):
3c3d356
Training in progress, epoch 20, checkpoint
Browse files
checkpoint-1620/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 sha256:3f488bffe0977941ba88c9a30da05bbb935852e0bb94df2674a74188a3b260df
|
| 3 |
size 592318676
|
checkpoint-1620/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:c2c823f527e6b74f22b215263fcbddc0be683cf934e3813718b444dfd573fa5d
|
| 3 |
size 1014645498
|
checkpoint-1620/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:f553c1fb23cbb8baae54ab2a9d56e54b26fd49c15995479fbc3f4c04df1c4989
|
| 3 |
size 14244
|
checkpoint-1620/trainer_state.json
CHANGED
|
@@ -11,801 +11,801 @@
|
|
| 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 |
}
|
|
@@ -815,7 +815,7 @@
|
|
| 815 |
"num_input_tokens_seen": 0,
|
| 816 |
"num_train_epochs": 50,
|
| 817 |
"save_steps": 500,
|
| 818 |
-
"total_flos":
|
| 819 |
"train_batch_size": 4,
|
| 820 |
"trial_name": null,
|
| 821 |
"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 |
}
|
|
|
|
| 815 |
"num_input_tokens_seen": 0,
|
| 816 |
"num_train_epochs": 50,
|
| 817 |
"save_steps": 500,
|
| 818 |
+
"total_flos": 2875733054712000.0,
|
| 819 |
"train_batch_size": 4,
|
| 820 |
"trial_name": null,
|
| 821 |
"trial_params": null
|
checkpoint-1620/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
|