Commit
•
ec99bfd
1
Parent(s):
068089d
Training in progress, epoch 12, checkpoint
Browse files- checkpoint-492/model.safetensors +1 -1
- checkpoint-492/optimizer.pt +1 -1
- checkpoint-492/trainer_state.json +359 -359
- checkpoint-492/training_args.bin +1 -1
checkpoint-492/model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 592324828
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0d238a411bfa24acbb8ed8713049c58140c4207f721c93c2a621403773349aae
|
| 3 |
size 592324828
|
checkpoint-492/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1014657786
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:08fbe8b90eda8484ab6da46487ecca2e6b27a97b2623161c92f94d2226fecd3b
|
| 3 |
size 1014657786
|
checkpoint-492/trainer_state.json
CHANGED
|
@@ -11,540 +11,540 @@
|
|
| 11 |
{
|
| 12 |
"epoch": 1.0,
|
| 13 |
"eval_Claim": {
|
| 14 |
-
"f1-score": 0.
|
| 15 |
-
"precision": 0.
|
| 16 |
-
"recall": 0.
|
| 17 |
-
"support":
|
| 18 |
},
|
| 19 |
"eval_MajorClaim": {
|
| 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_Premise": {
|
| 32 |
-
"f1-score": 0.
|
| 33 |
-
"precision": 0.
|
| 34 |
-
"recall": 0.
|
| 35 |
-
"support":
|
| 36 |
},
|
| 37 |
-
"eval_accuracy": 0.
|
| 38 |
-
"eval_loss": 0.
|
| 39 |
"eval_macro avg": {
|
| 40 |
-
"f1-score": 0.
|
| 41 |
-
"precision": 0.
|
| 42 |
-
"recall": 0.
|
| 43 |
-
"support":
|
| 44 |
-
},
|
| 45 |
-
"eval_runtime": 1.
|
| 46 |
-
"eval_samples_per_second":
|
| 47 |
-
"eval_steps_per_second": 7.
|
| 48 |
"eval_weighted avg": {
|
| 49 |
-
"f1-score": 0.
|
| 50 |
-
"precision": 0.
|
| 51 |
-
"recall": 0.
|
| 52 |
-
"support":
|
| 53 |
},
|
| 54 |
"step": 41
|
| 55 |
},
|
| 56 |
{
|
| 57 |
"epoch": 2.0,
|
| 58 |
"eval_Claim": {
|
| 59 |
-
"f1-score": 0.
|
| 60 |
-
"precision": 0.
|
| 61 |
-
"recall": 0.
|
| 62 |
-
"support":
|
| 63 |
},
|
| 64 |
"eval_MajorClaim": {
|
| 65 |
-
"f1-score": 0.
|
| 66 |
-
"precision": 0.
|
| 67 |
-
"recall": 0.
|
| 68 |
-
"support":
|
| 69 |
},
|
| 70 |
"eval_O": {
|
| 71 |
-
"f1-score": 0.
|
| 72 |
-
"precision": 0.
|
| 73 |
-
"recall": 0.
|
| 74 |
-
"support":
|
| 75 |
},
|
| 76 |
"eval_Premise": {
|
| 77 |
-
"f1-score": 0.
|
| 78 |
-
"precision": 0.
|
| 79 |
-
"recall": 0.
|
| 80 |
-
"support":
|
| 81 |
},
|
| 82 |
-
"eval_accuracy": 0.
|
| 83 |
-
"eval_loss": 0.
|
| 84 |
"eval_macro avg": {
|
| 85 |
-
"f1-score": 0.
|
| 86 |
-
"precision": 0.
|
| 87 |
-
"recall": 0.
|
| 88 |
-
"support":
|
| 89 |
-
},
|
| 90 |
-
"eval_runtime": 1.
|
| 91 |
-
"eval_samples_per_second":
|
| 92 |
-
"eval_steps_per_second": 7.
|
| 93 |
"eval_weighted avg": {
|
| 94 |
-
"f1-score": 0.
|
| 95 |
-
"precision": 0.
|
| 96 |
-
"recall": 0.
|
| 97 |
-
"support":
|
| 98 |
},
|
| 99 |
"step": 82
|
| 100 |
},
|
| 101 |
{
|
| 102 |
"epoch": 3.0,
|
| 103 |
"eval_Claim": {
|
| 104 |
-
"f1-score": 0.
|
| 105 |
-
"precision": 0.
|
| 106 |
-
"recall": 0.
|
| 107 |
-
"support":
|
| 108 |
},
|
| 109 |
"eval_MajorClaim": {
|
| 110 |
-
"f1-score": 0.
|
| 111 |
-
"precision": 0.
|
| 112 |
-
"recall": 0.
|
| 113 |
-
"support":
|
| 114 |
},
|
| 115 |
"eval_O": {
|
| 116 |
-
"f1-score": 0.
|
| 117 |
-
"precision": 0.
|
| 118 |
-
"recall": 0.
|
| 119 |
-
"support":
|
| 120 |
},
|
| 121 |
"eval_Premise": {
|
| 122 |
-
"f1-score": 0.
|
| 123 |
-
"precision": 0.
|
| 124 |
-
"recall": 0.
|
| 125 |
-
"support":
|
| 126 |
},
|
| 127 |
-
"eval_accuracy": 0.
|
| 128 |
-
"eval_loss": 0.
|
| 129 |
"eval_macro avg": {
|
| 130 |
-
"f1-score": 0.
|
| 131 |
-
"precision": 0.
|
| 132 |
-
"recall": 0.
|
| 133 |
-
"support":
|
| 134 |
-
},
|
| 135 |
-
"eval_runtime": 1.
|
| 136 |
-
"eval_samples_per_second":
|
| 137 |
-
"eval_steps_per_second": 7.
|
| 138 |
"eval_weighted avg": {
|
| 139 |
-
"f1-score": 0.
|
| 140 |
-
"precision": 0.
|
| 141 |
-
"recall": 0.
|
| 142 |
-
"support":
|
| 143 |
},
|
| 144 |
"step": 123
|
| 145 |
},
|
| 146 |
{
|
| 147 |
"epoch": 4.0,
|
| 148 |
"eval_Claim": {
|
| 149 |
-
"f1-score": 0.
|
| 150 |
-
"precision": 0.
|
| 151 |
-
"recall": 0.
|
| 152 |
-
"support":
|
| 153 |
},
|
| 154 |
"eval_MajorClaim": {
|
| 155 |
-
"f1-score": 0.
|
| 156 |
-
"precision": 0.
|
| 157 |
-
"recall": 0.
|
| 158 |
-
"support":
|
| 159 |
},
|
| 160 |
"eval_O": {
|
| 161 |
-
"f1-score": 0.
|
| 162 |
-
"precision":
|
| 163 |
-
"recall": 0.
|
| 164 |
-
"support":
|
| 165 |
},
|
| 166 |
"eval_Premise": {
|
| 167 |
-
"f1-score": 0.
|
| 168 |
-
"precision": 0.
|
| 169 |
-
"recall": 0.
|
| 170 |
-
"support":
|
| 171 |
},
|
| 172 |
-
"eval_accuracy": 0.
|
| 173 |
-
"eval_loss": 0.
|
| 174 |
"eval_macro avg": {
|
| 175 |
-
"f1-score": 0.
|
| 176 |
-
"precision": 0.
|
| 177 |
-
"recall": 0.
|
| 178 |
-
"support":
|
| 179 |
-
},
|
| 180 |
-
"eval_runtime": 1.
|
| 181 |
-
"eval_samples_per_second":
|
| 182 |
-
"eval_steps_per_second": 7.
|
| 183 |
"eval_weighted avg": {
|
| 184 |
-
"f1-score": 0.
|
| 185 |
-
"precision": 0.
|
| 186 |
-
"recall": 0.
|
| 187 |
-
"support":
|
| 188 |
},
|
| 189 |
"step": 164
|
| 190 |
},
|
| 191 |
{
|
| 192 |
"epoch": 5.0,
|
| 193 |
"eval_Claim": {
|
| 194 |
-
"f1-score": 0.
|
| 195 |
-
"precision": 0.
|
| 196 |
-
"recall": 0.
|
| 197 |
-
"support":
|
| 198 |
},
|
| 199 |
"eval_MajorClaim": {
|
| 200 |
-
"f1-score": 0.
|
| 201 |
-
"precision": 0.
|
| 202 |
-
"recall": 0.
|
| 203 |
-
"support":
|
| 204 |
},
|
| 205 |
"eval_O": {
|
| 206 |
-
"f1-score": 0.
|
| 207 |
"precision": 1.0,
|
| 208 |
-
"recall": 0.
|
| 209 |
-
"support":
|
| 210 |
},
|
| 211 |
"eval_Premise": {
|
| 212 |
-
"f1-score": 0.
|
| 213 |
-
"precision": 0.
|
| 214 |
-
"recall": 0.
|
| 215 |
-
"support":
|
| 216 |
},
|
| 217 |
-
"eval_accuracy": 0.
|
| 218 |
-
"eval_loss": 0.
|
| 219 |
"eval_macro avg": {
|
| 220 |
-
"f1-score": 0.
|
| 221 |
-
"precision": 0.
|
| 222 |
-
"recall": 0.
|
| 223 |
-
"support":
|
| 224 |
-
},
|
| 225 |
-
"eval_runtime": 1.
|
| 226 |
-
"eval_samples_per_second":
|
| 227 |
-
"eval_steps_per_second": 7.
|
| 228 |
"eval_weighted avg": {
|
| 229 |
-
"f1-score": 0.
|
| 230 |
-
"precision": 0.
|
| 231 |
-
"recall": 0.
|
| 232 |
-
"support":
|
| 233 |
},
|
| 234 |
"step": 205
|
| 235 |
},
|
| 236 |
{
|
| 237 |
"epoch": 6.0,
|
| 238 |
"eval_Claim": {
|
| 239 |
-
"f1-score": 0.
|
| 240 |
-
"precision": 0.
|
| 241 |
-
"recall": 0.
|
| 242 |
-
"support":
|
| 243 |
},
|
| 244 |
"eval_MajorClaim": {
|
| 245 |
-
"f1-score": 0.
|
| 246 |
-
"precision": 0.
|
| 247 |
-
"recall": 0.
|
| 248 |
-
"support":
|
| 249 |
},
|
| 250 |
"eval_O": {
|
| 251 |
-
"f1-score": 0.
|
| 252 |
-
"precision": 0
|
| 253 |
-
"recall": 0.
|
| 254 |
-
"support":
|
| 255 |
},
|
| 256 |
"eval_Premise": {
|
| 257 |
-
"f1-score": 0.
|
| 258 |
-
"precision": 0.
|
| 259 |
-
"recall": 0.
|
| 260 |
-
"support":
|
| 261 |
},
|
| 262 |
-
"eval_accuracy": 0.
|
| 263 |
-
"eval_loss": 0.
|
| 264 |
"eval_macro avg": {
|
| 265 |
-
"f1-score": 0.
|
| 266 |
-
"precision": 0.
|
| 267 |
-
"recall": 0.
|
| 268 |
-
"support":
|
| 269 |
-
},
|
| 270 |
-
"eval_runtime": 1.
|
| 271 |
-
"eval_samples_per_second":
|
| 272 |
-
"eval_steps_per_second": 7.
|
| 273 |
"eval_weighted avg": {
|
| 274 |
-
"f1-score": 0.
|
| 275 |
-
"precision": 0.
|
| 276 |
-
"recall": 0.
|
| 277 |
-
"support":
|
| 278 |
},
|
| 279 |
"step": 246
|
| 280 |
},
|
| 281 |
{
|
| 282 |
"epoch": 7.0,
|
| 283 |
"eval_Claim": {
|
| 284 |
-
"f1-score": 0.
|
| 285 |
-
"precision": 0.
|
| 286 |
-
"recall": 0.
|
| 287 |
-
"support":
|
| 288 |
},
|
| 289 |
"eval_MajorClaim": {
|
| 290 |
-
"f1-score": 0.
|
| 291 |
-
"precision": 0.
|
| 292 |
-
"recall": 0.
|
| 293 |
-
"support":
|
| 294 |
},
|
| 295 |
"eval_O": {
|
| 296 |
-
"f1-score": 0.
|
| 297 |
-
"precision": 0
|
| 298 |
-
"recall": 0.
|
| 299 |
-
"support":
|
| 300 |
},
|
| 301 |
"eval_Premise": {
|
| 302 |
-
"f1-score": 0.
|
| 303 |
-
"precision": 0.
|
| 304 |
-
"recall": 0.
|
| 305 |
-
"support":
|
| 306 |
},
|
| 307 |
-
"eval_accuracy": 0.
|
| 308 |
-
"eval_loss": 0.
|
| 309 |
"eval_macro avg": {
|
| 310 |
-
"f1-score": 0.
|
| 311 |
-
"precision": 0.
|
| 312 |
-
"recall": 0.
|
| 313 |
-
"support":
|
| 314 |
-
},
|
| 315 |
-
"eval_runtime": 1.
|
| 316 |
-
"eval_samples_per_second":
|
| 317 |
-
"eval_steps_per_second": 7.
|
| 318 |
"eval_weighted avg": {
|
| 319 |
-
"f1-score": 0.
|
| 320 |
-
"precision": 0.
|
| 321 |
-
"recall": 0.
|
| 322 |
-
"support":
|
| 323 |
},
|
| 324 |
"step": 287
|
| 325 |
},
|
| 326 |
{
|
| 327 |
"epoch": 8.0,
|
| 328 |
"eval_Claim": {
|
| 329 |
-
"f1-score": 0.
|
| 330 |
-
"precision": 0.
|
| 331 |
-
"recall": 0.
|
| 332 |
-
"support":
|
| 333 |
},
|
| 334 |
"eval_MajorClaim": {
|
| 335 |
-
"f1-score": 0.
|
| 336 |
-
"precision": 0.
|
| 337 |
-
"recall": 0.
|
| 338 |
-
"support":
|
| 339 |
},
|
| 340 |
"eval_O": {
|
| 341 |
-
"f1-score": 0.
|
| 342 |
-
"precision": 0
|
| 343 |
-
"recall": 0.
|
| 344 |
-
"support":
|
| 345 |
},
|
| 346 |
"eval_Premise": {
|
| 347 |
-
"f1-score": 0.
|
| 348 |
-
"precision": 0.
|
| 349 |
-
"recall": 0.
|
| 350 |
-
"support":
|
| 351 |
},
|
| 352 |
-
"eval_accuracy": 0.
|
| 353 |
-
"eval_loss": 0.
|
| 354 |
"eval_macro avg": {
|
| 355 |
-
"f1-score": 0.
|
| 356 |
-
"precision": 0.
|
| 357 |
-
"recall": 0.
|
| 358 |
-
"support":
|
| 359 |
-
},
|
| 360 |
-
"eval_runtime": 1.
|
| 361 |
-
"eval_samples_per_second":
|
| 362 |
-
"eval_steps_per_second": 7.
|
| 363 |
"eval_weighted avg": {
|
| 364 |
-
"f1-score": 0.
|
| 365 |
-
"precision": 0.
|
| 366 |
-
"recall": 0.
|
| 367 |
-
"support":
|
| 368 |
},
|
| 369 |
"step": 328
|
| 370 |
},
|
| 371 |
{
|
| 372 |
"epoch": 9.0,
|
| 373 |
"eval_Claim": {
|
| 374 |
-
"f1-score": 0.
|
| 375 |
-
"precision": 0.
|
| 376 |
-
"recall": 0.
|
| 377 |
-
"support":
|
| 378 |
},
|
| 379 |
"eval_MajorClaim": {
|
| 380 |
-
"f1-score": 0.
|
| 381 |
-
"precision": 0.
|
| 382 |
-
"recall": 0.
|
| 383 |
-
"support":
|
| 384 |
},
|
| 385 |
"eval_O": {
|
| 386 |
-
"f1-score": 0.
|
| 387 |
-
"precision": 0
|
| 388 |
-
"recall": 0.
|
| 389 |
-
"support":
|
| 390 |
},
|
| 391 |
"eval_Premise": {
|
| 392 |
-
"f1-score": 0.
|
| 393 |
-
"precision": 0.
|
| 394 |
-
"recall": 0.
|
| 395 |
-
"support":
|
| 396 |
},
|
| 397 |
-
"eval_accuracy": 0.
|
| 398 |
-
"eval_loss": 0.
|
| 399 |
"eval_macro avg": {
|
| 400 |
-
"f1-score": 0.
|
| 401 |
-
"precision": 0.
|
| 402 |
-
"recall": 0.
|
| 403 |
-
"support":
|
| 404 |
-
},
|
| 405 |
-
"eval_runtime": 1.
|
| 406 |
-
"eval_samples_per_second":
|
| 407 |
-
"eval_steps_per_second": 7.
|
| 408 |
"eval_weighted avg": {
|
| 409 |
-
"f1-score": 0.
|
| 410 |
-
"precision": 0.
|
| 411 |
-
"recall": 0.
|
| 412 |
-
"support":
|
| 413 |
},
|
| 414 |
"step": 369
|
| 415 |
},
|
| 416 |
{
|
| 417 |
"epoch": 10.0,
|
| 418 |
"eval_Claim": {
|
| 419 |
-
"f1-score": 0.
|
| 420 |
-
"precision": 0.
|
| 421 |
-
"recall": 0.
|
| 422 |
-
"support":
|
| 423 |
},
|
| 424 |
"eval_MajorClaim": {
|
| 425 |
-
"f1-score": 0.
|
| 426 |
-
"precision": 0.
|
| 427 |
-
"recall": 0.
|
| 428 |
-
"support":
|
| 429 |
},
|
| 430 |
"eval_O": {
|
| 431 |
-
"f1-score": 0.
|
| 432 |
-
"precision": 0.
|
| 433 |
-
"recall": 0
|
| 434 |
-
"support":
|
| 435 |
},
|
| 436 |
"eval_Premise": {
|
| 437 |
-
"f1-score": 0.
|
| 438 |
-
"precision": 0.
|
| 439 |
-
"recall": 0.
|
| 440 |
-
"support":
|
| 441 |
},
|
| 442 |
-
"eval_accuracy": 0.
|
| 443 |
-
"eval_loss": 0.
|
| 444 |
"eval_macro avg": {
|
| 445 |
-
"f1-score": 0.
|
| 446 |
-
"precision": 0.
|
| 447 |
-
"recall": 0.
|
| 448 |
-
"support":
|
| 449 |
-
},
|
| 450 |
-
"eval_runtime": 1.
|
| 451 |
-
"eval_samples_per_second":
|
| 452 |
-
"eval_steps_per_second": 7.
|
| 453 |
"eval_weighted avg": {
|
| 454 |
-
"f1-score": 0.
|
| 455 |
-
"precision": 0.
|
| 456 |
-
"recall": 0.
|
| 457 |
-
"support":
|
| 458 |
},
|
| 459 |
"step": 410
|
| 460 |
},
|
| 461 |
{
|
| 462 |
"epoch": 11.0,
|
| 463 |
"eval_Claim": {
|
| 464 |
-
"f1-score": 0.
|
| 465 |
-
"precision": 0.
|
| 466 |
-
"recall": 0.
|
| 467 |
-
"support":
|
| 468 |
},
|
| 469 |
"eval_MajorClaim": {
|
| 470 |
-
"f1-score": 0.
|
| 471 |
-
"precision": 0.
|
| 472 |
-
"recall": 0.
|
| 473 |
-
"support":
|
| 474 |
},
|
| 475 |
"eval_O": {
|
| 476 |
-
"f1-score": 0
|
| 477 |
-
"precision": 0
|
| 478 |
-
"recall": 0
|
| 479 |
-
"support":
|
| 480 |
},
|
| 481 |
"eval_Premise": {
|
| 482 |
-
"f1-score": 0.
|
| 483 |
-
"precision": 0.
|
| 484 |
-
"recall": 0.
|
| 485 |
-
"support":
|
| 486 |
},
|
| 487 |
-
"eval_accuracy": 0.
|
| 488 |
-
"eval_loss": 0.
|
| 489 |
"eval_macro avg": {
|
| 490 |
-
"f1-score": 0.
|
| 491 |
-
"precision": 0.
|
| 492 |
-
"recall": 0.
|
| 493 |
-
"support":
|
| 494 |
-
},
|
| 495 |
-
"eval_runtime": 1.
|
| 496 |
-
"eval_samples_per_second":
|
| 497 |
-
"eval_steps_per_second": 7.
|
| 498 |
"eval_weighted avg": {
|
| 499 |
-
"f1-score": 0.
|
| 500 |
-
"precision": 0.
|
| 501 |
-
"recall": 0.
|
| 502 |
-
"support":
|
| 503 |
},
|
| 504 |
"step": 451
|
| 505 |
},
|
| 506 |
{
|
| 507 |
"epoch": 12.0,
|
| 508 |
"eval_Claim": {
|
| 509 |
-
"f1-score": 0.
|
| 510 |
-
"precision": 0.
|
| 511 |
-
"recall": 0.
|
| 512 |
-
"support":
|
| 513 |
},
|
| 514 |
"eval_MajorClaim": {
|
| 515 |
-
"f1-score": 0.
|
| 516 |
-
"precision": 0.
|
| 517 |
-
"recall": 0.
|
| 518 |
-
"support":
|
| 519 |
},
|
| 520 |
"eval_O": {
|
| 521 |
-
"f1-score": 0.
|
| 522 |
-
"precision": 0.
|
| 523 |
-
"recall": 0.
|
| 524 |
-
"support":
|
| 525 |
},
|
| 526 |
"eval_Premise": {
|
| 527 |
-
"f1-score": 0.
|
| 528 |
-
"precision": 0.
|
| 529 |
-
"recall": 0.
|
| 530 |
-
"support":
|
| 531 |
},
|
| 532 |
-
"eval_accuracy": 0.
|
| 533 |
-
"eval_loss": 0.
|
| 534 |
"eval_macro avg": {
|
| 535 |
-
"f1-score": 0.
|
| 536 |
-
"precision": 0.
|
| 537 |
-
"recall": 0.
|
| 538 |
-
"support":
|
| 539 |
-
},
|
| 540 |
-
"eval_runtime": 1.
|
| 541 |
-
"eval_samples_per_second":
|
| 542 |
-
"eval_steps_per_second": 7.
|
| 543 |
"eval_weighted avg": {
|
| 544 |
-
"f1-score": 0.
|
| 545 |
-
"precision": 0.
|
| 546 |
-
"recall": 0.
|
| 547 |
-
"support":
|
| 548 |
},
|
| 549 |
"step": 492
|
| 550 |
}
|
|
|
|
| 11 |
{
|
| 12 |
"epoch": 1.0,
|
| 13 |
"eval_Claim": {
|
| 14 |
+
"f1-score": 0.3650793650793651,
|
| 15 |
+
"precision": 0.45800144822592326,
|
| 16 |
+
"recall": 0.30350287907869483,
|
| 17 |
+
"support": 4168.0
|
| 18 |
},
|
| 19 |
"eval_MajorClaim": {
|
| 20 |
+
"f1-score": 0.652992277992278,
|
| 21 |
+
"precision": 0.6792168674698795,
|
| 22 |
+
"recall": 0.6287174721189591,
|
| 23 |
+
"support": 2152.0
|
| 24 |
},
|
| 25 |
"eval_O": {
|
| 26 |
+
"f1-score": 0.9929261022378432,
|
| 27 |
+
"precision": 0.9994626063591581,
|
| 28 |
+
"recall": 0.986474540311174,
|
| 29 |
+
"support": 11312.0
|
| 30 |
},
|
| 31 |
"eval_Premise": {
|
| 32 |
+
"f1-score": 0.873351637727677,
|
| 33 |
+
"precision": 0.8190918322936313,
|
| 34 |
+
"recall": 0.9353101963058064,
|
| 35 |
+
"support": 12073.0
|
| 36 |
},
|
| 37 |
+
"eval_accuracy": 0.8439319979801381,
|
| 38 |
+
"eval_loss": 0.3479689359664917,
|
| 39 |
"eval_macro avg": {
|
| 40 |
+
"f1-score": 0.7210873457592908,
|
| 41 |
+
"precision": 0.7389431885871479,
|
| 42 |
+
"recall": 0.7135012719536586,
|
| 43 |
+
"support": 29705.0
|
| 44 |
+
},
|
| 45 |
+
"eval_runtime": 1.3927,
|
| 46 |
+
"eval_samples_per_second": 57.443,
|
| 47 |
+
"eval_steps_per_second": 7.18,
|
| 48 |
"eval_weighted avg": {
|
| 49 |
+
"f1-score": 0.8316056073620907,
|
| 50 |
+
"precision": 0.8269800178224755,
|
| 51 |
+
"recall": 0.8439319979801381,
|
| 52 |
+
"support": 29705.0
|
| 53 |
},
|
| 54 |
"step": 41
|
| 55 |
},
|
| 56 |
{
|
| 57 |
"epoch": 2.0,
|
| 58 |
"eval_Claim": {
|
| 59 |
+
"f1-score": 0.427892234548336,
|
| 60 |
+
"precision": 0.6302521008403361,
|
| 61 |
+
"recall": 0.32389635316698656,
|
| 62 |
+
"support": 4168.0
|
| 63 |
},
|
| 64 |
"eval_MajorClaim": {
|
| 65 |
+
"f1-score": 0.7983248842847697,
|
| 66 |
+
"precision": 0.7593291404612159,
|
| 67 |
+
"recall": 0.841542750929368,
|
| 68 |
+
"support": 2152.0
|
| 69 |
},
|
| 70 |
"eval_O": {
|
| 71 |
+
"f1-score": 0.9990268931351733,
|
| 72 |
+
"precision": 0.9997344192634561,
|
| 73 |
+
"recall": 0.9983203677510608,
|
| 74 |
+
"support": 11312.0
|
| 75 |
},
|
| 76 |
"eval_Premise": {
|
| 77 |
+
"f1-score": 0.8914659988441533,
|
| 78 |
+
"precision": 0.833381357153148,
|
| 79 |
+
"recall": 0.9582539551064359,
|
| 80 |
+
"support": 12073.0
|
| 81 |
},
|
| 82 |
+
"eval_accuracy": 0.876047803400101,
|
| 83 |
+
"eval_loss": 0.2758464217185974,
|
| 84 |
"eval_macro avg": {
|
| 85 |
+
"f1-score": 0.779177502703108,
|
| 86 |
+
"precision": 0.805674254429539,
|
| 87 |
+
"recall": 0.7805033567384627,
|
| 88 |
+
"support": 29705.0
|
| 89 |
+
},
|
| 90 |
+
"eval_runtime": 1.3892,
|
| 91 |
+
"eval_samples_per_second": 57.586,
|
| 92 |
+
"eval_steps_per_second": 7.198,
|
| 93 |
"eval_weighted avg": {
|
| 94 |
+
"f1-score": 0.8606332672536217,
|
| 95 |
+
"precision": 0.8628640276786139,
|
| 96 |
+
"recall": 0.876047803400101,
|
| 97 |
+
"support": 29705.0
|
| 98 |
},
|
| 99 |
"step": 82
|
| 100 |
},
|
| 101 |
{
|
| 102 |
"epoch": 3.0,
|
| 103 |
"eval_Claim": {
|
| 104 |
+
"f1-score": 0.5882352941176471,
|
| 105 |
+
"precision": 0.620671283963772,
|
| 106 |
+
"recall": 0.559021113243762,
|
| 107 |
+
"support": 4168.0
|
| 108 |
},
|
| 109 |
"eval_MajorClaim": {
|
| 110 |
+
"f1-score": 0.822195416164053,
|
| 111 |
+
"precision": 0.8549924736578023,
|
| 112 |
+
"recall": 0.79182156133829,
|
| 113 |
+
"support": 2152.0
|
| 114 |
},
|
| 115 |
"eval_O": {
|
| 116 |
+
"f1-score": 0.999557835160948,
|
| 117 |
+
"precision": 0.9999115357395613,
|
| 118 |
+
"recall": 0.9992043847241867,
|
| 119 |
+
"support": 11312.0
|
| 120 |
},
|
| 121 |
"eval_Premise": {
|
| 122 |
+
"f1-score": 0.897156953936992,
|
| 123 |
+
"precision": 0.8765607712976135,
|
| 124 |
+
"recall": 0.918744305475027,
|
| 125 |
+
"support": 12073.0
|
| 126 |
},
|
| 127 |
+
"eval_accuracy": 0.8897155361050328,
|
| 128 |
+
"eval_loss": 0.2410457581281662,
|
| 129 |
"eval_macro avg": {
|
| 130 |
+
"f1-score": 0.8267863748449099,
|
| 131 |
+
"precision": 0.8380340161646872,
|
| 132 |
+
"recall": 0.8171978411953165,
|
| 133 |
+
"support": 29705.0
|
| 134 |
+
},
|
| 135 |
+
"eval_runtime": 1.3926,
|
| 136 |
+
"eval_samples_per_second": 57.447,
|
| 137 |
+
"eval_steps_per_second": 7.181,
|
| 138 |
"eval_weighted avg": {
|
| 139 |
+
"f1-score": 0.8873759763571568,
|
| 140 |
+
"precision": 0.8860669651248813,
|
| 141 |
+
"recall": 0.8897155361050328,
|
| 142 |
+
"support": 29705.0
|
| 143 |
},
|
| 144 |
"step": 123
|
| 145 |
},
|
| 146 |
{
|
| 147 |
"epoch": 4.0,
|
| 148 |
"eval_Claim": {
|
| 149 |
+
"f1-score": 0.6018413419094463,
|
| 150 |
+
"precision": 0.6344057431534167,
|
| 151 |
+
"recall": 0.5724568138195777,
|
| 152 |
+
"support": 4168.0
|
| 153 |
},
|
| 154 |
"eval_MajorClaim": {
|
| 155 |
+
"f1-score": 0.8690502303136654,
|
| 156 |
+
"precision": 0.8230162027420025,
|
| 157 |
+
"recall": 0.9205390334572491,
|
| 158 |
+
"support": 2152.0
|
| 159 |
},
|
| 160 |
"eval_O": {
|
| 161 |
+
"f1-score": 0.9995578742594394,
|
| 162 |
+
"precision": 0.9998231027772864,
|
| 163 |
+
"recall": 0.9992927864214993,
|
| 164 |
+
"support": 11312.0
|
| 165 |
},
|
| 166 |
"eval_Premise": {
|
| 167 |
+
"f1-score": 0.8916227781435153,
|
| 168 |
+
"precision": 0.8858637887335459,
|
| 169 |
+
"recall": 0.8974571357574753,
|
| 170 |
+
"support": 12073.0
|
| 171 |
},
|
| 172 |
+
"eval_accuracy": 0.8923076923076924,
|
| 173 |
+
"eval_loss": 0.24871428310871124,
|
| 174 |
"eval_macro avg": {
|
| 175 |
+
"f1-score": 0.8405180561565165,
|
| 176 |
+
"precision": 0.8357772093515627,
|
| 177 |
+
"recall": 0.8474364423639503,
|
| 178 |
+
"support": 29705.0
|
| 179 |
+
},
|
| 180 |
+
"eval_runtime": 1.3944,
|
| 181 |
+
"eval_samples_per_second": 57.373,
|
| 182 |
+
"eval_steps_per_second": 7.172,
|
| 183 |
"eval_weighted avg": {
|
| 184 |
+
"f1-score": 0.8904302737876794,
|
| 185 |
+
"precision": 0.8894248936462209,
|
| 186 |
+
"recall": 0.8923076923076924,
|
| 187 |
+
"support": 29705.0
|
| 188 |
},
|
| 189 |
"step": 164
|
| 190 |
},
|
| 191 |
{
|
| 192 |
"epoch": 5.0,
|
| 193 |
"eval_Claim": {
|
| 194 |
+
"f1-score": 0.6216759248315801,
|
| 195 |
+
"precision": 0.6126252038201724,
|
| 196 |
+
"recall": 0.6309980806142035,
|
| 197 |
+
"support": 4168.0
|
| 198 |
},
|
| 199 |
"eval_MajorClaim": {
|
| 200 |
+
"f1-score": 0.8738404452690167,
|
| 201 |
+
"precision": 0.8722222222222222,
|
| 202 |
+
"recall": 0.8754646840148699,
|
| 203 |
+
"support": 2152.0
|
| 204 |
},
|
| 205 |
"eval_O": {
|
| 206 |
+
"f1-score": 0.9996462681287585,
|
| 207 |
"precision": 1.0,
|
| 208 |
+
"recall": 0.9992927864214993,
|
| 209 |
+
"support": 11312.0
|
| 210 |
},
|
| 211 |
"eval_Premise": {
|
| 212 |
+
"f1-score": 0.8883893260064111,
|
| 213 |
+
"precision": 0.8930364914630063,
|
| 214 |
+
"recall": 0.8837902758220824,
|
| 215 |
+
"support": 12073.0
|
| 216 |
},
|
| 217 |
+
"eval_accuracy": 0.8917017337148628,
|
| 218 |
+
"eval_loss": 0.2594112753868103,
|
| 219 |
"eval_macro avg": {
|
| 220 |
+
"f1-score": 0.8458879910589416,
|
| 221 |
+
"precision": 0.8444709793763502,
|
| 222 |
+
"recall": 0.8473864567181638,
|
| 223 |
+
"support": 29705.0
|
| 224 |
+
},
|
| 225 |
+
"eval_runtime": 1.3912,
|
| 226 |
+
"eval_samples_per_second": 57.505,
|
| 227 |
+
"eval_steps_per_second": 7.188,
|
| 228 |
"eval_weighted avg": {
|
| 229 |
+
"f1-score": 0.8922798455096741,
|
| 230 |
+
"precision": 0.8929161297147813,
|
| 231 |
+
"recall": 0.8917017337148628,
|
| 232 |
+
"support": 29705.0
|
| 233 |
},
|
| 234 |
"step": 205
|
| 235 |
},
|
| 236 |
{
|
| 237 |
"epoch": 6.0,
|
| 238 |
"eval_Claim": {
|
| 239 |
+
"f1-score": 0.6567796610169492,
|
| 240 |
+
"precision": 0.5880121396054628,
|
| 241 |
+
"recall": 0.7437619961612284,
|
| 242 |
+
"support": 4168.0
|
| 243 |
},
|
| 244 |
"eval_MajorClaim": {
|
| 245 |
+
"f1-score": 0.8874388254486133,
|
| 246 |
+
"precision": 0.8901355773726041,
|
| 247 |
+
"recall": 0.8847583643122676,
|
| 248 |
+
"support": 2152.0
|
| 249 |
},
|
| 250 |
"eval_O": {
|
| 251 |
+
"f1-score": 0.9997789469030461,
|
| 252 |
+
"precision": 1.0,
|
| 253 |
+
"recall": 0.999557991513437,
|
| 254 |
+
"support": 11312.0
|
| 255 |
},
|
| 256 |
"eval_Premise": {
|
| 257 |
+
"f1-score": 0.8790980052038161,
|
| 258 |
+
"precision": 0.9225448257031037,
|
| 259 |
+
"recall": 0.8395593473039012,
|
| 260 |
+
"support": 12073.0
|
| 261 |
},
|
| 262 |
+
"eval_accuracy": 0.8903214946978623,
|
| 263 |
+
"eval_loss": 0.2811674177646637,
|
| 264 |
"eval_macro avg": {
|
| 265 |
+
"f1-score": 0.8557738596431061,
|
| 266 |
+
"precision": 0.8501731356702926,
|
| 267 |
+
"recall": 0.8669094248227085,
|
| 268 |
+
"support": 29705.0
|
| 269 |
+
},
|
| 270 |
+
"eval_runtime": 1.3897,
|
| 271 |
+
"eval_samples_per_second": 57.567,
|
| 272 |
+
"eval_steps_per_second": 7.196,
|
| 273 |
"eval_weighted avg": {
|
| 274 |
+
"f1-score": 0.8944647582453118,
|
| 275 |
+
"precision": 0.9027534099005212,
|
| 276 |
+
"recall": 0.8903214946978623,
|
| 277 |
+
"support": 29705.0
|
| 278 |
},
|
| 279 |
"step": 246
|
| 280 |
},
|
| 281 |
{
|
| 282 |
"epoch": 7.0,
|
| 283 |
"eval_Claim": {
|
| 284 |
+
"f1-score": 0.6388127853881279,
|
| 285 |
+
"precision": 0.6093205574912892,
|
| 286 |
+
"recall": 0.6713051823416507,
|
| 287 |
+
"support": 4168.0
|
| 288 |
},
|
| 289 |
"eval_MajorClaim": {
|
| 290 |
+
"f1-score": 0.8804010503700167,
|
| 291 |
+
"precision": 0.905252822778596,
|
| 292 |
+
"recall": 0.8568773234200744,
|
| 293 |
+
"support": 2152.0
|
| 294 |
},
|
| 295 |
"eval_O": {
|
| 296 |
+
"f1-score": 0.9999115904871364,
|
| 297 |
+
"precision": 1.0,
|
| 298 |
+
"recall": 0.9998231966053748,
|
| 299 |
+
"support": 11312.0
|
| 300 |
},
|
| 301 |
"eval_Premise": {
|
| 302 |
+
"f1-score": 0.886362682998448,
|
| 303 |
+
"precision": 0.8979262281149074,
|
| 304 |
+
"recall": 0.8750931831359231,
|
| 305 |
+
"support": 12073.0
|
| 306 |
},
|
| 307 |
+
"eval_accuracy": 0.8926780003366437,
|
| 308 |
+
"eval_loss": 0.30266591906547546,
|
| 309 |
"eval_macro avg": {
|
| 310 |
+
"f1-score": 0.8513720273109323,
|
| 311 |
+
"precision": 0.8531249020961982,
|
| 312 |
+
"recall": 0.8507747213757557,
|
| 313 |
+
"support": 29705.0
|
| 314 |
+
},
|
| 315 |
+
"eval_runtime": 1.3903,
|
| 316 |
+
"eval_samples_per_second": 57.544,
|
| 317 |
+
"eval_steps_per_second": 7.193,
|
| 318 |
"eval_weighted avg": {
|
| 319 |
+
"f1-score": 0.894437008359695,
|
| 320 |
+
"precision": 0.8968327052777144,
|
| 321 |
+
"recall": 0.8926780003366437,
|
| 322 |
+
"support": 29705.0
|
| 323 |
},
|
| 324 |
"step": 287
|
| 325 |
},
|
| 326 |
{
|
| 327 |
"epoch": 8.0,
|
| 328 |
"eval_Claim": {
|
| 329 |
+
"f1-score": 0.64190800681431,
|
| 330 |
+
"precision": 0.6094457623463446,
|
| 331 |
+
"recall": 0.6780230326295585,
|
| 332 |
+
"support": 4168.0
|
| 333 |
},
|
| 334 |
"eval_MajorClaim": {
|
| 335 |
+
"f1-score": 0.8679334916864608,
|
| 336 |
+
"precision": 0.8877551020408163,
|
| 337 |
+
"recall": 0.8489776951672863,
|
| 338 |
+
"support": 2152.0
|
| 339 |
},
|
| 340 |
"eval_O": {
|
| 341 |
+
"f1-score": 0.9996904982977407,
|
| 342 |
+
"precision": 1.0,
|
| 343 |
+
"recall": 0.9993811881188119,
|
| 344 |
+
"support": 11312.0
|
| 345 |
},
|
| 346 |
"eval_Premise": {
|
| 347 |
+
"f1-score": 0.8887206661619985,
|
| 348 |
+
"precision": 0.9026911576249466,
|
| 349 |
+
"recall": 0.875176012590077,
|
| 350 |
+
"support": 12073.0
|
| 351 |
},
|
| 352 |
+
"eval_accuracy": 0.8929136509005218,
|
| 353 |
+
"eval_loss": 0.3308269679546356,
|
| 354 |
"eval_macro avg": {
|
| 355 |
+
"f1-score": 0.8495631657401276,
|
| 356 |
+
"precision": 0.8499730055030268,
|
| 357 |
+
"recall": 0.8503894821264335,
|
| 358 |
+
"support": 29705.0
|
| 359 |
+
},
|
| 360 |
+
"eval_runtime": 1.3922,
|
| 361 |
+
"eval_samples_per_second": 57.462,
|
| 362 |
+
"eval_steps_per_second": 7.183,
|
| 363 |
"eval_weighted avg": {
|
| 364 |
+
"f1-score": 0.8948422476293271,
|
| 365 |
+
"precision": 0.8975192480409824,
|
| 366 |
+
"recall": 0.8929136509005218,
|
| 367 |
+
"support": 29705.0
|
| 368 |
},
|
| 369 |
"step": 328
|
| 370 |
},
|
| 371 |
{
|
| 372 |
"epoch": 9.0,
|
| 373 |
"eval_Claim": {
|
| 374 |
+
"f1-score": 0.63868836412578,
|
| 375 |
+
"precision": 0.651685393258427,
|
| 376 |
+
"recall": 0.6261996161228407,
|
| 377 |
+
"support": 4168.0
|
| 378 |
},
|
| 379 |
"eval_MajorClaim": {
|
| 380 |
+
"f1-score": 0.8941736028537456,
|
| 381 |
+
"precision": 0.9157330735509012,
|
| 382 |
+
"recall": 0.8736059479553904,
|
| 383 |
+
"support": 2152.0
|
| 384 |
},
|
| 385 |
"eval_O": {
|
| 386 |
+
"f1-score": 0.9996904982977407,
|
| 387 |
+
"precision": 1.0,
|
| 388 |
+
"recall": 0.9993811881188119,
|
| 389 |
+
"support": 11312.0
|
| 390 |
},
|
| 391 |
"eval_Premise": {
|
| 392 |
+
"f1-score": 0.8962523039115298,
|
| 393 |
+
"precision": 0.8864851725814292,
|
| 394 |
+
"recall": 0.9062370578977884,
|
| 395 |
+
"support": 12073.0
|
| 396 |
},
|
| 397 |
+
"eval_accuracy": 0.9000504965494025,
|
| 398 |
+
"eval_loss": 0.34075838327407837,
|
| 399 |
"eval_macro avg": {
|
| 400 |
+
"f1-score": 0.857201192297199,
|
| 401 |
+
"precision": 0.8634759098476893,
|
| 402 |
+
"recall": 0.8513559525237079,
|
| 403 |
+
"support": 29705.0
|
| 404 |
+
},
|
| 405 |
+
"eval_runtime": 1.3948,
|
| 406 |
+
"eval_samples_per_second": 57.357,
|
| 407 |
+
"eval_steps_per_second": 7.17,
|
| 408 |
"eval_weighted avg": {
|
| 409 |
+
"f1-score": 0.8993525560304815,
|
| 410 |
+
"precision": 0.8988863080948749,
|
| 411 |
+
"recall": 0.9000504965494025,
|
| 412 |
+
"support": 29705.0
|
| 413 |
},
|
| 414 |
"step": 369
|
| 415 |
},
|
| 416 |
{
|
| 417 |
"epoch": 10.0,
|
| 418 |
"eval_Claim": {
|
| 419 |
+
"f1-score": 0.6206814955040227,
|
| 420 |
+
"precision": 0.6122782446311859,
|
| 421 |
+
"recall": 0.6293186180422264,
|
| 422 |
+
"support": 4168.0
|
| 423 |
},
|
| 424 |
"eval_MajorClaim": {
|
| 425 |
+
"f1-score": 0.8776916451335055,
|
| 426 |
+
"precision": 0.8178170144462279,
|
| 427 |
+
"recall": 0.9470260223048327,
|
| 428 |
+
"support": 2152.0
|
| 429 |
},
|
| 430 |
"eval_O": {
|
| 431 |
+
"f1-score": 0.9999558011049724,
|
| 432 |
+
"precision": 0.9999116061168567,
|
| 433 |
+
"recall": 1.0,
|
| 434 |
+
"support": 11312.0
|
| 435 |
},
|
| 436 |
"eval_Premise": {
|
| 437 |
+
"f1-score": 0.8864029718434716,
|
| 438 |
+
"precision": 0.9038395316804407,
|
| 439 |
+
"recall": 0.869626439161766,
|
| 440 |
+
"support": 12073.0
|
| 441 |
},
|
| 442 |
+
"eval_accuracy": 0.89116310385457,
|
| 443 |
+
"eval_loss": 0.4050362706184387,
|
| 444 |
"eval_macro avg": {
|
| 445 |
+
"f1-score": 0.8461829783964931,
|
| 446 |
+
"precision": 0.8334615992186778,
|
| 447 |
+
"recall": 0.8614927698772062,
|
| 448 |
+
"support": 29705.0
|
| 449 |
+
},
|
| 450 |
+
"eval_runtime": 1.3901,
|
| 451 |
+
"eval_samples_per_second": 57.551,
|
| 452 |
+
"eval_steps_per_second": 7.194,
|
| 453 |
"eval_weighted avg": {
|
| 454 |
+
"f1-score": 0.8917298769484514,
|
| 455 |
+
"precision": 0.8932830396594146,
|
| 456 |
+
"recall": 0.89116310385457,
|
| 457 |
+
"support": 29705.0
|
| 458 |
},
|
| 459 |
"step": 410
|
| 460 |
},
|
| 461 |
{
|
| 462 |
"epoch": 11.0,
|
| 463 |
"eval_Claim": {
|
| 464 |
+
"f1-score": 0.6361489146327746,
|
| 465 |
+
"precision": 0.5987719669701461,
|
| 466 |
+
"recall": 0.6785028790786948,
|
| 467 |
+
"support": 4168.0
|
| 468 |
},
|
| 469 |
"eval_MajorClaim": {
|
| 470 |
+
"f1-score": 0.8838862559241706,
|
| 471 |
+
"precision": 0.9018375241779497,
|
| 472 |
+
"recall": 0.866635687732342,
|
| 473 |
+
"support": 2152.0
|
| 474 |
},
|
| 475 |
"eval_O": {
|
| 476 |
+
"f1-score": 1.0,
|
| 477 |
+
"precision": 1.0,
|
| 478 |
+
"recall": 1.0,
|
| 479 |
+
"support": 11312.0
|
| 480 |
},
|
| 481 |
"eval_Premise": {
|
| 482 |
+
"f1-score": 0.8829567053854277,
|
| 483 |
+
"precision": 0.90087915876573,
|
| 484 |
+
"recall": 0.8657334548165327,
|
| 485 |
+
"support": 12073.0
|
| 486 |
},
|
| 487 |
+
"eval_accuracy": 0.8906581383605454,
|
| 488 |
+
"eval_loss": 0.4124489724636078,
|
| 489 |
"eval_macro avg": {
|
| 490 |
+
"f1-score": 0.8507479689855932,
|
| 491 |
+
"precision": 0.8503721624784565,
|
| 492 |
+
"recall": 0.8527180054068924,
|
| 493 |
+
"support": 29705.0
|
| 494 |
+
},
|
| 495 |
+
"eval_runtime": 1.3986,
|
| 496 |
+
"eval_samples_per_second": 57.198,
|
| 497 |
+
"eval_steps_per_second": 7.15,
|
| 498 |
"eval_weighted avg": {
|
| 499 |
+
"f1-score": 0.8929650968879477,
|
| 500 |
+
"precision": 0.8963053356048198,
|
| 501 |
+
"recall": 0.8906581383605454,
|
| 502 |
+
"support": 29705.0
|
| 503 |
},
|
| 504 |
"step": 451
|
| 505 |
},
|
| 506 |
{
|
| 507 |
"epoch": 12.0,
|
| 508 |
"eval_Claim": {
|
| 509 |
+
"f1-score": 0.6082852648138437,
|
| 510 |
+
"precision": 0.6705202312138728,
|
| 511 |
+
"recall": 0.5566218809980806,
|
| 512 |
+
"support": 4168.0
|
| 513 |
},
|
| 514 |
"eval_MajorClaim": {
|
| 515 |
+
"f1-score": 0.8887310606060606,
|
| 516 |
+
"precision": 0.9058880308880309,
|
| 517 |
+
"recall": 0.8722118959107806,
|
| 518 |
+
"support": 2152.0
|
| 519 |
},
|
| 520 |
"eval_O": {
|
| 521 |
+
"f1-score": 0.9996462994075515,
|
| 522 |
+
"precision": 0.9999115513886432,
|
| 523 |
+
"recall": 0.9993811881188119,
|
| 524 |
+
"support": 11312.0
|
| 525 |
},
|
| 526 |
"eval_Premise": {
|
| 527 |
+
"f1-score": 0.8976744186046511,
|
| 528 |
+
"precision": 0.8699774617237895,
|
| 529 |
+
"recall": 0.9271929097987244,
|
| 530 |
+
"support": 12073.0
|
| 531 |
},
|
| 532 |
+
"eval_accuracy": 0.8987039218986702,
|
| 533 |
+
"eval_loss": 0.4420628547668457,
|
| 534 |
"eval_macro avg": {
|
| 535 |
+
"f1-score": 0.8485842608580267,
|
| 536 |
+
"precision": 0.861574318803584,
|
| 537 |
+
"recall": 0.8388519687065994,
|
| 538 |
+
"support": 29705.0
|
| 539 |
+
},
|
| 540 |
+
"eval_runtime": 1.3926,
|
| 541 |
+
"eval_samples_per_second": 57.446,
|
| 542 |
+
"eval_steps_per_second": 7.181,
|
| 543 |
"eval_weighted avg": {
|
| 544 |
+
"f1-score": 0.8952534731823099,
|
| 545 |
+
"precision": 0.8940729416216161,
|
| 546 |
+
"recall": 0.8987039218986702,
|
| 547 |
+
"support": 29705.0
|
| 548 |
},
|
| 549 |
"step": 492
|
| 550 |
}
|
checkpoint-492/training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4664
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c6e1d5f2e91f513d5e22b8b5c6d49a42c6f8d8aae75c864e0bacd5e369ee66a1
|
| 3 |
size 4664
|