Commit
•
7a72a61
1
Parent(s):
4f82563
Training in progress, epoch 35, checkpoint
Browse files- checkpoint-2835/model.safetensors +1 -1
- checkpoint-2835/optimizer.pt +1 -1
- checkpoint-2835/rng_state.pth +1 -1
- checkpoint-2835/trainer_state.json +1061 -1061
- checkpoint-2835/training_args.bin +1 -1
checkpoint-2835/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 sha256:5f8859ca03d091a8cf34e8f3b88ace60c569eb0aba529dc3fff8cb603c66d194
|
| 3 |
size 592324828
|
checkpoint-2835/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:c7e7333e75a8421220ad32f59d30b382b0de2804ab8104fa9f0ad4d65e0824a2
|
| 3 |
size 1014657786
|
checkpoint-2835/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:f6639512a8e19585cb00ca9829b3a2040e58cc0db2c8c7c7d487522fd14ec2e0
|
| 3 |
size 14244
|
checkpoint-2835/trainer_state.json
CHANGED
|
@@ -11,1610 +11,1610 @@
|
|
| 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": 4.
|
| 46 |
-
"eval_samples_per_second": 16.
|
| 47 |
-
"eval_steps_per_second": 2.
|
| 48 |
"eval_weighted avg": {
|
| 49 |
-
"f1-score": 0.
|
| 50 |
-
"precision": 0.
|
| 51 |
-
"recall": 0.
|
| 52 |
-
"support":
|
| 53 |
},
|
| 54 |
"step": 81
|
| 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": 4.
|
| 91 |
-
"eval_samples_per_second": 16.
|
| 92 |
-
"eval_steps_per_second": 2.
|
| 93 |
"eval_weighted avg": {
|
| 94 |
-
"f1-score": 0.
|
| 95 |
-
"precision": 0.
|
| 96 |
-
"recall": 0.
|
| 97 |
-
"support":
|
| 98 |
},
|
| 99 |
"step": 162
|
| 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": 4.
|
| 136 |
-
"eval_samples_per_second": 16.
|
| 137 |
-
"eval_steps_per_second": 2.
|
| 138 |
"eval_weighted avg": {
|
| 139 |
-
"f1-score": 0.
|
| 140 |
-
"precision": 0.
|
| 141 |
-
"recall": 0.
|
| 142 |
-
"support":
|
| 143 |
},
|
| 144 |
"step": 243
|
| 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": 0.
|
| 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": 4.
|
| 181 |
-
"eval_samples_per_second": 16.
|
| 182 |
-
"eval_steps_per_second": 2.
|
| 183 |
"eval_weighted avg": {
|
| 184 |
-
"f1-score": 0.
|
| 185 |
-
"precision": 0.
|
| 186 |
-
"recall": 0.
|
| 187 |
-
"support":
|
| 188 |
},
|
| 189 |
"step": 324
|
| 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": 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": 4.
|
| 226 |
-
"eval_samples_per_second": 16.
|
| 227 |
-
"eval_steps_per_second": 2.
|
| 228 |
"eval_weighted avg": {
|
| 229 |
-
"f1-score": 0.
|
| 230 |
-
"precision": 0.
|
| 231 |
-
"recall": 0.
|
| 232 |
-
"support":
|
| 233 |
},
|
| 234 |
"step": 405
|
| 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": 4.
|
| 271 |
-
"eval_samples_per_second": 16.
|
| 272 |
-
"eval_steps_per_second": 2.
|
| 273 |
"eval_weighted avg": {
|
| 274 |
-
"f1-score": 0.
|
| 275 |
-
"precision": 0.
|
| 276 |
-
"recall": 0.
|
| 277 |
-
"support":
|
| 278 |
},
|
| 279 |
"step": 486
|
| 280 |
},
|
| 281 |
{
|
| 282 |
"epoch": 6.17,
|
| 283 |
-
"grad_norm":
|
| 284 |
"learning_rate": 1.7530864197530865e-05,
|
| 285 |
-
"loss": 0.
|
| 286 |
"step": 500
|
| 287 |
},
|
| 288 |
{
|
| 289 |
"epoch": 7.0,
|
| 290 |
"eval_Claim": {
|
| 291 |
-
"f1-score": 0.
|
| 292 |
-
"precision": 0.
|
| 293 |
-
"recall": 0.
|
| 294 |
-
"support":
|
| 295 |
},
|
| 296 |
"eval_MajorClaim": {
|
| 297 |
-
"f1-score": 0.
|
| 298 |
-
"precision": 0.
|
| 299 |
-
"recall": 0.
|
| 300 |
-
"support":
|
| 301 |
},
|
| 302 |
"eval_O": {
|
| 303 |
-
"f1-score": 0.
|
| 304 |
-
"precision": 0.
|
| 305 |
-
"recall": 0.
|
| 306 |
-
"support":
|
| 307 |
},
|
| 308 |
"eval_Premise": {
|
| 309 |
-
"f1-score": 0.
|
| 310 |
-
"precision": 0.
|
| 311 |
-
"recall": 0.
|
| 312 |
-
"support":
|
| 313 |
},
|
| 314 |
-
"eval_accuracy": 0.
|
| 315 |
-
"eval_loss": 0.
|
| 316 |
"eval_macro avg": {
|
| 317 |
-
"f1-score": 0.
|
| 318 |
-
"precision": 0.
|
| 319 |
-
"recall": 0.
|
| 320 |
-
"support":
|
| 321 |
-
},
|
| 322 |
-
"eval_runtime": 4.
|
| 323 |
-
"eval_samples_per_second": 16.
|
| 324 |
-
"eval_steps_per_second": 2.
|
| 325 |
"eval_weighted avg": {
|
| 326 |
-
"f1-score": 0.
|
| 327 |
-
"precision": 0.
|
| 328 |
-
"recall": 0.
|
| 329 |
-
"support":
|
| 330 |
},
|
| 331 |
"step": 567
|
| 332 |
},
|
| 333 |
{
|
| 334 |
"epoch": 8.0,
|
| 335 |
"eval_Claim": {
|
| 336 |
-
"f1-score": 0.
|
| 337 |
-
"precision": 0.
|
| 338 |
-
"recall": 0.
|
| 339 |
-
"support":
|
| 340 |
},
|
| 341 |
"eval_MajorClaim": {
|
| 342 |
-
"f1-score": 0.
|
| 343 |
-
"precision": 0.
|
| 344 |
-
"recall": 0.
|
| 345 |
-
"support":
|
| 346 |
},
|
| 347 |
"eval_O": {
|
| 348 |
-
"f1-score": 0.
|
| 349 |
-
"precision": 0.
|
| 350 |
-
"recall": 0.
|
| 351 |
-
"support":
|
| 352 |
},
|
| 353 |
"eval_Premise": {
|
| 354 |
-
"f1-score": 0.
|
| 355 |
-
"precision": 0.
|
| 356 |
-
"recall": 0.
|
| 357 |
-
"support":
|
| 358 |
},
|
| 359 |
-
"eval_accuracy": 0.
|
| 360 |
-
"eval_loss": 0.
|
| 361 |
"eval_macro avg": {
|
| 362 |
-
"f1-score": 0.
|
| 363 |
-
"precision": 0.
|
| 364 |
-
"recall": 0.
|
| 365 |
-
"support":
|
| 366 |
-
},
|
| 367 |
-
"eval_runtime": 4.
|
| 368 |
-
"eval_samples_per_second": 16.
|
| 369 |
-
"eval_steps_per_second": 2.
|
| 370 |
"eval_weighted avg": {
|
| 371 |
-
"f1-score": 0.
|
| 372 |
-
"precision": 0.
|
| 373 |
-
"recall": 0.
|
| 374 |
-
"support":
|
| 375 |
},
|
| 376 |
"step": 648
|
| 377 |
},
|
| 378 |
{
|
| 379 |
"epoch": 9.0,
|
| 380 |
"eval_Claim": {
|
| 381 |
-
"f1-score": 0.
|
| 382 |
-
"precision": 0.
|
| 383 |
-
"recall": 0.
|
| 384 |
-
"support":
|
| 385 |
},
|
| 386 |
"eval_MajorClaim": {
|
| 387 |
-
"f1-score": 0.
|
| 388 |
-
"precision": 0.
|
| 389 |
-
"recall": 0.
|
| 390 |
-
"support":
|
| 391 |
},
|
| 392 |
"eval_O": {
|
| 393 |
-
"f1-score": 0.
|
| 394 |
-
"precision": 0.
|
| 395 |
-
"recall": 0.
|
| 396 |
-
"support":
|
| 397 |
},
|
| 398 |
"eval_Premise": {
|
| 399 |
-
"f1-score": 0.
|
| 400 |
-
"precision": 0.
|
| 401 |
-
"recall": 0.
|
| 402 |
-
"support":
|
| 403 |
},
|
| 404 |
-
"eval_accuracy": 0.
|
| 405 |
-
"eval_loss": 0.
|
| 406 |
"eval_macro avg": {
|
| 407 |
-
"f1-score": 0.
|
| 408 |
-
"precision": 0.
|
| 409 |
-
"recall": 0.
|
| 410 |
-
"support":
|
| 411 |
-
},
|
| 412 |
-
"eval_runtime": 4.
|
| 413 |
-
"eval_samples_per_second": 16.
|
| 414 |
-
"eval_steps_per_second": 2.
|
| 415 |
"eval_weighted avg": {
|
| 416 |
-
"f1-score": 0.
|
| 417 |
-
"precision": 0.
|
| 418 |
-
"recall": 0.
|
| 419 |
-
"support":
|
| 420 |
},
|
| 421 |
"step": 729
|
| 422 |
},
|
| 423 |
{
|
| 424 |
"epoch": 10.0,
|
| 425 |
"eval_Claim": {
|
| 426 |
-
"f1-score": 0.
|
| 427 |
-
"precision": 0.
|
| 428 |
-
"recall": 0.
|
| 429 |
-
"support":
|
| 430 |
},
|
| 431 |
"eval_MajorClaim": {
|
| 432 |
-
"f1-score": 0.
|
| 433 |
-
"precision": 0.
|
| 434 |
-
"recall": 0.
|
| 435 |
-
"support":
|
| 436 |
},
|
| 437 |
"eval_O": {
|
| 438 |
-
"f1-score": 0.
|
| 439 |
-
"precision": 0.
|
| 440 |
-
"recall": 0.
|
| 441 |
-
"support":
|
| 442 |
},
|
| 443 |
"eval_Premise": {
|
| 444 |
-
"f1-score": 0.
|
| 445 |
-
"precision": 0.
|
| 446 |
-
"recall": 0.
|
| 447 |
-
"support":
|
| 448 |
},
|
| 449 |
-
"eval_accuracy": 0.
|
| 450 |
-
"eval_loss": 0.
|
| 451 |
"eval_macro avg": {
|
| 452 |
-
"f1-score": 0.
|
| 453 |
-
"precision": 0.
|
| 454 |
-
"recall": 0.
|
| 455 |
-
"support":
|
| 456 |
-
},
|
| 457 |
-
"eval_runtime": 4.
|
| 458 |
-
"eval_samples_per_second": 16.
|
| 459 |
-
"eval_steps_per_second": 2.
|
| 460 |
"eval_weighted avg": {
|
| 461 |
-
"f1-score": 0.
|
| 462 |
-
"precision": 0.
|
| 463 |
-
"recall": 0.
|
| 464 |
-
"support":
|
| 465 |
},
|
| 466 |
"step": 810
|
| 467 |
},
|
| 468 |
{
|
| 469 |
"epoch": 11.0,
|
| 470 |
"eval_Claim": {
|
| 471 |
-
"f1-score": 0.
|
| 472 |
-
"precision": 0.
|
| 473 |
-
"recall": 0.
|
| 474 |
-
"support":
|
| 475 |
},
|
| 476 |
"eval_MajorClaim": {
|
| 477 |
-
"f1-score": 0.
|
| 478 |
-
"precision": 0.
|
| 479 |
-
"recall": 0.
|
| 480 |
-
"support":
|
| 481 |
},
|
| 482 |
"eval_O": {
|
| 483 |
-
"f1-score": 0.
|
| 484 |
-
"precision": 0.
|
| 485 |
-
"recall": 0.
|
| 486 |
-
"support":
|
| 487 |
},
|
| 488 |
"eval_Premise": {
|
| 489 |
-
"f1-score": 0.
|
| 490 |
-
"precision": 0.
|
| 491 |
-
"recall": 0.
|
| 492 |
-
"support":
|
| 493 |
},
|
| 494 |
-
"eval_accuracy": 0.
|
| 495 |
-
"eval_loss": 0.
|
| 496 |
"eval_macro avg": {
|
| 497 |
-
"f1-score": 0.
|
| 498 |
-
"precision": 0.
|
| 499 |
-
"recall": 0.
|
| 500 |
-
"support":
|
| 501 |
-
},
|
| 502 |
-
"eval_runtime": 4.
|
| 503 |
-
"eval_samples_per_second": 16.
|
| 504 |
-
"eval_steps_per_second": 2.
|
| 505 |
"eval_weighted avg": {
|
| 506 |
-
"f1-score": 0.
|
| 507 |
-
"precision": 0.
|
| 508 |
-
"recall": 0.
|
| 509 |
-
"support":
|
| 510 |
},
|
| 511 |
"step": 891
|
| 512 |
},
|
| 513 |
{
|
| 514 |
"epoch": 12.0,
|
| 515 |
"eval_Claim": {
|
| 516 |
-
"f1-score": 0.
|
| 517 |
-
"precision": 0.
|
| 518 |
-
"recall": 0.
|
| 519 |
-
"support":
|
| 520 |
},
|
| 521 |
"eval_MajorClaim": {
|
| 522 |
-
"f1-score": 0.
|
| 523 |
-
"precision": 0.
|
| 524 |
-
"recall": 0.
|
| 525 |
-
"support":
|
| 526 |
},
|
| 527 |
"eval_O": {
|
| 528 |
-
"f1-score": 0.
|
| 529 |
-
"precision": 0.
|
| 530 |
-
"recall": 0.
|
| 531 |
-
"support":
|
| 532 |
},
|
| 533 |
"eval_Premise": {
|
| 534 |
-
"f1-score": 0.
|
| 535 |
-
"precision": 0.
|
| 536 |
-
"recall": 0.
|
| 537 |
-
"support":
|
| 538 |
},
|
| 539 |
-
"eval_accuracy": 0.
|
| 540 |
-
"eval_loss": 0.
|
| 541 |
"eval_macro avg": {
|
| 542 |
-
"f1-score": 0.
|
| 543 |
-
"precision": 0.
|
| 544 |
-
"recall": 0.
|
| 545 |
-
"support":
|
| 546 |
-
},
|
| 547 |
-
"eval_runtime": 4.
|
| 548 |
-
"eval_samples_per_second": 16.
|
| 549 |
-
"eval_steps_per_second": 2.
|
| 550 |
"eval_weighted avg": {
|
| 551 |
-
"f1-score": 0.
|
| 552 |
-
"precision": 0.
|
| 553 |
-
"recall": 0.
|
| 554 |
-
"support":
|
| 555 |
},
|
| 556 |
"step": 972
|
| 557 |
},
|
| 558 |
{
|
| 559 |
"epoch": 12.35,
|
| 560 |
-
"grad_norm":
|
| 561 |
"learning_rate": 1.506172839506173e-05,
|
| 562 |
-
"loss": 0.
|
| 563 |
"step": 1000
|
| 564 |
},
|
| 565 |
{
|
| 566 |
"epoch": 13.0,
|
| 567 |
"eval_Claim": {
|
| 568 |
-
"f1-score": 0.
|
| 569 |
-
"precision": 0.
|
| 570 |
-
"recall": 0.
|
| 571 |
-
"support":
|
| 572 |
},
|
| 573 |
"eval_MajorClaim": {
|
| 574 |
-
"f1-score": 0.
|
| 575 |
-
"precision": 0.
|
| 576 |
-
"recall": 0.
|
| 577 |
-
"support":
|
| 578 |
},
|
| 579 |
"eval_O": {
|
| 580 |
-
"f1-score": 0.
|
| 581 |
-
"precision": 0.
|
| 582 |
-
"recall": 0.
|
| 583 |
-
"support":
|
| 584 |
},
|
| 585 |
"eval_Premise": {
|
| 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": 16.
|
| 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": 1053
|
| 609 |
},
|
| 610 |
{
|
| 611 |
"epoch": 14.0,
|
| 612 |
"eval_Claim": {
|
| 613 |
-
"f1-score": 0.
|
| 614 |
-
"precision": 0.
|
| 615 |
-
"recall": 0.
|
| 616 |
-
"support":
|
| 617 |
},
|
| 618 |
"eval_MajorClaim": {
|
| 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_Premise": {
|
| 631 |
-
"f1-score": 0.
|
| 632 |
-
"precision": 0.
|
| 633 |
-
"recall": 0.
|
| 634 |
-
"support":
|
| 635 |
},
|
| 636 |
-
"eval_accuracy": 0.
|
| 637 |
-
"eval_loss": 0.
|
| 638 |
"eval_macro avg": {
|
| 639 |
-
"f1-score": 0.
|
| 640 |
-
"precision": 0.
|
| 641 |
-
"recall": 0.
|
| 642 |
-
"support":
|
| 643 |
-
},
|
| 644 |
-
"eval_runtime": 4.
|
| 645 |
-
"eval_samples_per_second": 16.
|
| 646 |
-
"eval_steps_per_second": 2.
|
| 647 |
"eval_weighted avg": {
|
| 648 |
-
"f1-score": 0.
|
| 649 |
-
"precision": 0.
|
| 650 |
-
"recall": 0.
|
| 651 |
-
"support":
|
| 652 |
},
|
| 653 |
"step": 1134
|
| 654 |
},
|
| 655 |
{
|
| 656 |
"epoch": 15.0,
|
| 657 |
"eval_Claim": {
|
| 658 |
-
"f1-score": 0.
|
| 659 |
-
"precision": 0.
|
| 660 |
-
"recall": 0.
|
| 661 |
-
"support":
|
| 662 |
},
|
| 663 |
"eval_MajorClaim": {
|
| 664 |
-
"f1-score": 0.
|
| 665 |
-
"precision": 0.
|
| 666 |
-
"recall": 0.
|
| 667 |
-
"support":
|
| 668 |
},
|
| 669 |
"eval_O": {
|
| 670 |
-
"f1-score": 0.
|
| 671 |
-
"precision": 0.
|
| 672 |
-
"recall": 0.
|
| 673 |
-
"support":
|
| 674 |
},
|
| 675 |
"eval_Premise": {
|
| 676 |
-
"f1-score": 0.
|
| 677 |
-
"precision": 0.
|
| 678 |
-
"recall": 0.
|
| 679 |
-
"support":
|
| 680 |
},
|
| 681 |
-
"eval_accuracy": 0.
|
| 682 |
-
"eval_loss":
|
| 683 |
"eval_macro avg": {
|
| 684 |
-
"f1-score": 0.
|
| 685 |
-
"precision": 0.
|
| 686 |
-
"recall": 0.
|
| 687 |
-
"support":
|
| 688 |
-
},
|
| 689 |
-
"eval_runtime": 4.
|
| 690 |
-
"eval_samples_per_second": 16.
|
| 691 |
-
"eval_steps_per_second": 2.
|
| 692 |
"eval_weighted avg": {
|
| 693 |
-
"f1-score": 0.
|
| 694 |
-
"precision": 0.
|
| 695 |
-
"recall": 0.
|
| 696 |
-
"support":
|
| 697 |
},
|
| 698 |
"step": 1215
|
| 699 |
},
|
| 700 |
{
|
| 701 |
"epoch": 16.0,
|
| 702 |
"eval_Claim": {
|
| 703 |
-
"f1-score": 0.
|
| 704 |
-
"precision": 0.
|
| 705 |
-
"recall": 0.
|
| 706 |
-
"support":
|
| 707 |
},
|
| 708 |
"eval_MajorClaim": {
|
| 709 |
-
"f1-score": 0.
|
| 710 |
-
"precision": 0.
|
| 711 |
-
"recall": 0.
|
| 712 |
-
"support":
|
| 713 |
},
|
| 714 |
"eval_O": {
|
| 715 |
-
"f1-score": 0.
|
| 716 |
-
"precision": 0.
|
| 717 |
-
"recall": 0.
|
| 718 |
-
"support":
|
| 719 |
},
|
| 720 |
"eval_Premise": {
|
| 721 |
-
"f1-score": 0.
|
| 722 |
-
"precision": 0.
|
| 723 |
-
"recall": 0.
|
| 724 |
-
"support":
|
| 725 |
},
|
| 726 |
-
"eval_accuracy": 0.
|
| 727 |
-
"eval_loss": 0.
|
| 728 |
"eval_macro avg": {
|
| 729 |
-
"f1-score": 0.
|
| 730 |
-
"precision": 0.
|
| 731 |
-
"recall": 0.
|
| 732 |
-
"support":
|
| 733 |
-
},
|
| 734 |
-
"eval_runtime": 4.
|
| 735 |
-
"eval_samples_per_second": 16.
|
| 736 |
-
"eval_steps_per_second": 2.
|
| 737 |
"eval_weighted avg": {
|
| 738 |
-
"f1-score": 0.
|
| 739 |
-
"precision": 0.
|
| 740 |
-
"recall": 0.
|
| 741 |
-
"support":
|
| 742 |
},
|
| 743 |
"step": 1296
|
| 744 |
},
|
| 745 |
{
|
| 746 |
"epoch": 17.0,
|
| 747 |
"eval_Claim": {
|
| 748 |
-
"f1-score": 0.
|
| 749 |
-
"precision": 0.
|
| 750 |
-
"recall": 0.
|
| 751 |
-
"support":
|
| 752 |
},
|
| 753 |
"eval_MajorClaim": {
|
| 754 |
-
"f1-score": 0.
|
| 755 |
-
"precision": 0.
|
| 756 |
-
"recall": 0.
|
| 757 |
-
"support":
|
| 758 |
},
|
| 759 |
"eval_O": {
|
| 760 |
-
"f1-score": 0.
|
| 761 |
-
"precision": 0.
|
| 762 |
-
"recall": 0.
|
| 763 |
-
"support":
|
| 764 |
},
|
| 765 |
"eval_Premise": {
|
| 766 |
-
"f1-score": 0.
|
| 767 |
-
"precision": 0.
|
| 768 |
-
"recall": 0.
|
| 769 |
-
"support":
|
| 770 |
},
|
| 771 |
-
"eval_accuracy": 0.
|
| 772 |
-
"eval_loss": 0.
|
| 773 |
"eval_macro avg": {
|
| 774 |
-
"f1-score": 0.
|
| 775 |
-
"precision": 0.
|
| 776 |
-
"recall": 0.
|
| 777 |
-
"support":
|
| 778 |
-
},
|
| 779 |
-
"eval_runtime": 4.
|
| 780 |
-
"eval_samples_per_second": 16.
|
| 781 |
-
"eval_steps_per_second": 2.
|
| 782 |
"eval_weighted avg": {
|
| 783 |
-
"f1-score": 0.
|
| 784 |
-
"precision": 0.
|
| 785 |
-
"recall": 0.
|
| 786 |
-
"support":
|
| 787 |
},
|
| 788 |
"step": 1377
|
| 789 |
},
|
| 790 |
{
|
| 791 |
"epoch": 18.0,
|
| 792 |
"eval_Claim": {
|
| 793 |
-
"f1-score": 0.
|
| 794 |
-
"precision": 0.
|
| 795 |
-
"recall": 0.
|
| 796 |
-
"support":
|
| 797 |
},
|
| 798 |
"eval_MajorClaim": {
|
| 799 |
-
"f1-score": 0.
|
| 800 |
-
"precision": 0.
|
| 801 |
-
"recall": 0.
|
| 802 |
-
"support":
|
| 803 |
},
|
| 804 |
"eval_O": {
|
| 805 |
-
"f1-score": 0.
|
| 806 |
-
"precision": 0.
|
| 807 |
-
"recall": 0.
|
| 808 |
-
"support":
|
| 809 |
},
|
| 810 |
"eval_Premise": {
|
| 811 |
-
"f1-score": 0.
|
| 812 |
-
"precision": 0.
|
| 813 |
-
"recall": 0.
|
| 814 |
-
"support":
|
| 815 |
},
|
| 816 |
-
"eval_accuracy": 0.
|
| 817 |
-
"eval_loss": 0.
|
| 818 |
"eval_macro avg": {
|
| 819 |
-
"f1-score": 0.
|
| 820 |
-
"precision": 0.
|
| 821 |
-
"recall": 0.
|
| 822 |
-
"support":
|
| 823 |
-
},
|
| 824 |
-
"eval_runtime": 4.
|
| 825 |
-
"eval_samples_per_second": 16.
|
| 826 |
-
"eval_steps_per_second": 2.
|
| 827 |
"eval_weighted avg": {
|
| 828 |
-
"f1-score": 0.
|
| 829 |
-
"precision": 0.
|
| 830 |
-
"recall": 0.
|
| 831 |
-
"support":
|
| 832 |
},
|
| 833 |
"step": 1458
|
| 834 |
},
|
| 835 |
{
|
| 836 |
"epoch": 18.52,
|
| 837 |
-
"grad_norm":
|
| 838 |
"learning_rate": 1.2592592592592593e-05,
|
| 839 |
-
"loss": 0.
|
| 840 |
"step": 1500
|
| 841 |
},
|
| 842 |
{
|
| 843 |
"epoch": 19.0,
|
| 844 |
"eval_Claim": {
|
| 845 |
-
"f1-score": 0.
|
| 846 |
-
"precision": 0.
|
| 847 |
-
"recall": 0.
|
| 848 |
-
"support":
|
| 849 |
},
|
| 850 |
"eval_MajorClaim": {
|
| 851 |
-
"f1-score": 0.
|
| 852 |
-
"precision": 0.
|
| 853 |
-
"recall": 0.
|
| 854 |
-
"support":
|
| 855 |
},
|
| 856 |
"eval_O": {
|
| 857 |
-
"f1-score": 0.
|
| 858 |
-
"precision": 0.
|
| 859 |
-
"recall": 0.
|
| 860 |
-
"support":
|
| 861 |
},
|
| 862 |
"eval_Premise": {
|
| 863 |
-
"f1-score": 0.
|
| 864 |
-
"precision": 0.
|
| 865 |
-
"recall": 0.
|
| 866 |
-
"support":
|
| 867 |
},
|
| 868 |
-
"eval_accuracy": 0.
|
| 869 |
-
"eval_loss": 1.
|
| 870 |
"eval_macro avg": {
|
| 871 |
-
"f1-score": 0.
|
| 872 |
-
"precision": 0.
|
| 873 |
-
"recall": 0.
|
| 874 |
-
"support":
|
| 875 |
-
},
|
| 876 |
-
"eval_runtime": 4.
|
| 877 |
-
"eval_samples_per_second": 16.
|
| 878 |
-
"eval_steps_per_second": 2.
|
| 879 |
"eval_weighted avg": {
|
| 880 |
-
"f1-score": 0.
|
| 881 |
-
"precision": 0.
|
| 882 |
-
"recall": 0.
|
| 883 |
-
"support":
|
| 884 |
},
|
| 885 |
"step": 1539
|
| 886 |
},
|
| 887 |
{
|
| 888 |
"epoch": 20.0,
|
| 889 |
"eval_Claim": {
|
| 890 |
-
"f1-score": 0.
|
| 891 |
-
"precision": 0.
|
| 892 |
-
"recall": 0.
|
| 893 |
-
"support":
|
| 894 |
},
|
| 895 |
"eval_MajorClaim": {
|
| 896 |
-
"f1-score": 0.
|
| 897 |
-
"precision": 0.
|
| 898 |
-
"recall": 0.
|
| 899 |
-
"support":
|
| 900 |
},
|
| 901 |
"eval_O": {
|
| 902 |
-
"f1-score": 0.
|
| 903 |
-
"precision": 0.
|
| 904 |
-
"recall": 0.
|
| 905 |
-
"support":
|
| 906 |
},
|
| 907 |
"eval_Premise": {
|
| 908 |
-
"f1-score": 0.
|
| 909 |
-
"precision": 0.
|
| 910 |
-
"recall": 0.
|
| 911 |
-
"support":
|
| 912 |
},
|
| 913 |
-
"eval_accuracy": 0.
|
| 914 |
-
"eval_loss":
|
| 915 |
"eval_macro avg": {
|
| 916 |
-
"f1-score": 0.
|
| 917 |
-
"precision": 0.
|
| 918 |
-
"recall": 0.
|
| 919 |
-
"support":
|
| 920 |
-
},
|
| 921 |
-
"eval_runtime": 4.
|
| 922 |
-
"eval_samples_per_second": 16.
|
| 923 |
-
"eval_steps_per_second": 2.
|
| 924 |
"eval_weighted avg": {
|
| 925 |
-
"f1-score": 0.
|
| 926 |
-
"precision": 0.
|
| 927 |
-
"recall": 0.
|
| 928 |
-
"support":
|
| 929 |
},
|
| 930 |
"step": 1620
|
| 931 |
},
|
| 932 |
{
|
| 933 |
"epoch": 21.0,
|
| 934 |
"eval_Claim": {
|
| 935 |
-
"f1-score": 0.
|
| 936 |
-
"precision": 0.
|
| 937 |
-
"recall": 0.
|
| 938 |
-
"support":
|
| 939 |
},
|
| 940 |
"eval_MajorClaim": {
|
| 941 |
-
"f1-score": 0.
|
| 942 |
-
"precision": 0.
|
| 943 |
-
"recall": 0.
|
| 944 |
-
"support":
|
| 945 |
},
|
| 946 |
"eval_O": {
|
| 947 |
-
"f1-score": 0.
|
| 948 |
-
"precision": 0.
|
| 949 |
-
"recall": 0.
|
| 950 |
-
"support":
|
| 951 |
},
|
| 952 |
"eval_Premise": {
|
| 953 |
-
"f1-score": 0.
|
| 954 |
-
"precision": 0.
|
| 955 |
-
"recall": 0.
|
| 956 |
-
"support":
|
| 957 |
},
|
| 958 |
-
"eval_accuracy": 0.
|
| 959 |
-
"eval_loss": 1.
|
| 960 |
"eval_macro avg": {
|
| 961 |
-
"f1-score": 0.
|
| 962 |
-
"precision": 0.
|
| 963 |
-
"recall": 0.
|
| 964 |
-
"support":
|
| 965 |
-
},
|
| 966 |
-
"eval_runtime": 4.
|
| 967 |
-
"eval_samples_per_second": 16.
|
| 968 |
-
"eval_steps_per_second": 2.
|
| 969 |
"eval_weighted avg": {
|
| 970 |
-
"f1-score": 0.
|
| 971 |
-
"precision": 0.
|
| 972 |
-
"recall": 0.
|
| 973 |
-
"support":
|
| 974 |
},
|
| 975 |
"step": 1701
|
| 976 |
},
|
| 977 |
{
|
| 978 |
"epoch": 22.0,
|
| 979 |
"eval_Claim": {
|
| 980 |
-
"f1-score": 0.
|
| 981 |
-
"precision": 0.
|
| 982 |
-
"recall": 0.
|
| 983 |
-
"support":
|
| 984 |
},
|
| 985 |
"eval_MajorClaim": {
|
| 986 |
-
"f1-score": 0.
|
| 987 |
-
"precision": 0.
|
| 988 |
-
"recall": 0.
|
| 989 |
-
"support":
|
| 990 |
},
|
| 991 |
"eval_O": {
|
| 992 |
-
"f1-score": 0.
|
| 993 |
-
"precision": 0.
|
| 994 |
-
"recall": 0.
|
| 995 |
-
"support":
|
| 996 |
},
|
| 997 |
"eval_Premise": {
|
| 998 |
-
"f1-score": 0.
|
| 999 |
-
"precision": 0.
|
| 1000 |
-
"recall": 0.
|
| 1001 |
-
"support":
|
| 1002 |
},
|
| 1003 |
-
"eval_accuracy": 0.
|
| 1004 |
-
"eval_loss": 1.
|
| 1005 |
"eval_macro avg": {
|
| 1006 |
-
"f1-score": 0.
|
| 1007 |
-
"precision": 0.
|
| 1008 |
-
"recall": 0.
|
| 1009 |
-
"support":
|
| 1010 |
-
},
|
| 1011 |
-
"eval_runtime": 4.
|
| 1012 |
-
"eval_samples_per_second": 16.
|
| 1013 |
-
"eval_steps_per_second": 2.
|
| 1014 |
"eval_weighted avg": {
|
| 1015 |
-
"f1-score": 0.
|
| 1016 |
-
"precision": 0.
|
| 1017 |
-
"recall": 0.
|
| 1018 |
-
"support":
|
| 1019 |
},
|
| 1020 |
"step": 1782
|
| 1021 |
},
|
| 1022 |
{
|
| 1023 |
"epoch": 23.0,
|
| 1024 |
"eval_Claim": {
|
| 1025 |
-
"f1-score": 0.
|
| 1026 |
-
"precision": 0.
|
| 1027 |
-
"recall": 0.
|
| 1028 |
-
"support":
|
| 1029 |
},
|
| 1030 |
"eval_MajorClaim": {
|
| 1031 |
-
"f1-score": 0.
|
| 1032 |
-
"precision": 0.
|
| 1033 |
-
"recall": 0.
|
| 1034 |
-
"support":
|
| 1035 |
},
|
| 1036 |
"eval_O": {
|
| 1037 |
-
"f1-score": 0.
|
| 1038 |
-
"precision": 0.
|
| 1039 |
-
"recall": 0.
|
| 1040 |
-
"support":
|
| 1041 |
},
|
| 1042 |
"eval_Premise": {
|
| 1043 |
-
"f1-score": 0.
|
| 1044 |
-
"precision": 0.
|
| 1045 |
-
"recall": 0.
|
| 1046 |
-
"support":
|
| 1047 |
},
|
| 1048 |
-
"eval_accuracy": 0.
|
| 1049 |
-
"eval_loss": 1.
|
| 1050 |
"eval_macro avg": {
|
| 1051 |
-
"f1-score": 0.
|
| 1052 |
-
"precision": 0.
|
| 1053 |
-
"recall": 0.
|
| 1054 |
-
"support":
|
| 1055 |
-
},
|
| 1056 |
-
"eval_runtime": 4.
|
| 1057 |
-
"eval_samples_per_second": 16.
|
| 1058 |
-
"eval_steps_per_second": 2.
|
| 1059 |
"eval_weighted avg": {
|
| 1060 |
-
"f1-score": 0.
|
| 1061 |
-
"precision": 0.
|
| 1062 |
-
"recall": 0.
|
| 1063 |
-
"support":
|
| 1064 |
},
|
| 1065 |
"step": 1863
|
| 1066 |
},
|
| 1067 |
{
|
| 1068 |
"epoch": 24.0,
|
| 1069 |
"eval_Claim": {
|
| 1070 |
-
"f1-score": 0.
|
| 1071 |
-
"precision": 0.
|
| 1072 |
-
"recall": 0.
|
| 1073 |
-
"support":
|
| 1074 |
},
|
| 1075 |
"eval_MajorClaim": {
|
| 1076 |
-
"f1-score": 0.
|
| 1077 |
-
"precision": 0.
|
| 1078 |
-
"recall": 0.
|
| 1079 |
-
"support":
|
| 1080 |
},
|
| 1081 |
"eval_O": {
|
| 1082 |
-
"f1-score": 0.
|
| 1083 |
-
"precision": 0.
|
| 1084 |
-
"recall": 0.
|
| 1085 |
-
"support":
|
| 1086 |
},
|
| 1087 |
"eval_Premise": {
|
| 1088 |
-
"f1-score": 0.
|
| 1089 |
-
"precision": 0.
|
| 1090 |
-
"recall": 0.
|
| 1091 |
-
"support":
|
| 1092 |
},
|
| 1093 |
-
"eval_accuracy": 0.
|
| 1094 |
-
"eval_loss": 1.
|
| 1095 |
"eval_macro avg": {
|
| 1096 |
-
"f1-score": 0.
|
| 1097 |
-
"precision": 0.
|
| 1098 |
-
"recall": 0.
|
| 1099 |
-
"support":
|
| 1100 |
-
},
|
| 1101 |
-
"eval_runtime": 4.
|
| 1102 |
-
"eval_samples_per_second": 16.
|
| 1103 |
-
"eval_steps_per_second": 2.
|
| 1104 |
"eval_weighted avg": {
|
| 1105 |
-
"f1-score": 0.
|
| 1106 |
-
"precision": 0.
|
| 1107 |
-
"recall": 0.
|
| 1108 |
-
"support":
|
| 1109 |
},
|
| 1110 |
"step": 1944
|
| 1111 |
},
|
| 1112 |
{
|
| 1113 |
"epoch": 24.69,
|
| 1114 |
-
"grad_norm":
|
| 1115 |
"learning_rate": 1.0123456790123458e-05,
|
| 1116 |
-
"loss": 0.
|
| 1117 |
"step": 2000
|
| 1118 |
},
|
| 1119 |
{
|
| 1120 |
"epoch": 25.0,
|
| 1121 |
"eval_Claim": {
|
| 1122 |
-
"f1-score": 0.
|
| 1123 |
-
"precision": 0.
|
| 1124 |
-
"recall": 0.
|
| 1125 |
-
"support":
|
| 1126 |
},
|
| 1127 |
"eval_MajorClaim": {
|
| 1128 |
-
"f1-score": 0.
|
| 1129 |
-
"precision": 0.
|
| 1130 |
-
"recall": 0.
|
| 1131 |
-
"support":
|
| 1132 |
},
|
| 1133 |
"eval_O": {
|
| 1134 |
-
"f1-score": 0.
|
| 1135 |
-
"precision": 0.
|
| 1136 |
-
"recall": 0.
|
| 1137 |
-
"support":
|
| 1138 |
},
|
| 1139 |
"eval_Premise": {
|
| 1140 |
-
"f1-score": 0.
|
| 1141 |
-
"precision": 0.
|
| 1142 |
-
"recall": 0.
|
| 1143 |
-
"support":
|
| 1144 |
},
|
| 1145 |
-
"eval_accuracy": 0.
|
| 1146 |
-
"eval_loss": 1.
|
| 1147 |
"eval_macro avg": {
|
| 1148 |
-
"f1-score": 0.
|
| 1149 |
-
"precision": 0.
|
| 1150 |
-
"recall": 0.
|
| 1151 |
-
"support":
|
| 1152 |
-
},
|
| 1153 |
-
"eval_runtime": 4.
|
| 1154 |
-
"eval_samples_per_second": 16.
|
| 1155 |
-
"eval_steps_per_second": 2.
|
| 1156 |
"eval_weighted avg": {
|
| 1157 |
-
"f1-score": 0.
|
| 1158 |
-
"precision": 0.
|
| 1159 |
-
"recall": 0.
|
| 1160 |
-
"support":
|
| 1161 |
},
|
| 1162 |
"step": 2025
|
| 1163 |
},
|
| 1164 |
{
|
| 1165 |
"epoch": 26.0,
|
| 1166 |
"eval_Claim": {
|
| 1167 |
-
"f1-score": 0.
|
| 1168 |
-
"precision": 0.
|
| 1169 |
-
"recall": 0.
|
| 1170 |
-
"support":
|
| 1171 |
},
|
| 1172 |
"eval_MajorClaim": {
|
| 1173 |
-
"f1-score": 0.
|
| 1174 |
-
"precision": 0.
|
| 1175 |
-
"recall": 0.
|
| 1176 |
-
"support":
|
| 1177 |
},
|
| 1178 |
"eval_O": {
|
| 1179 |
-
"f1-score": 0.
|
| 1180 |
-
"precision": 0.
|
| 1181 |
-
"recall": 0.
|
| 1182 |
-
"support":
|
| 1183 |
},
|
| 1184 |
"eval_Premise": {
|
| 1185 |
-
"f1-score": 0.
|
| 1186 |
-
"precision": 0.
|
| 1187 |
-
"recall": 0.
|
| 1188 |
-
"support":
|
| 1189 |
},
|
| 1190 |
-
"eval_accuracy": 0.
|
| 1191 |
-
"eval_loss": 1.
|
| 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": 16.
|
| 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": 2106
|
| 1208 |
},
|
| 1209 |
{
|
| 1210 |
"epoch": 27.0,
|
| 1211 |
"eval_Claim": {
|
| 1212 |
-
"f1-score": 0.
|
| 1213 |
-
"precision": 0.
|
| 1214 |
-
"recall": 0.
|
| 1215 |
-
"support":
|
| 1216 |
},
|
| 1217 |
"eval_MajorClaim": {
|
| 1218 |
-
"f1-score": 0.
|
| 1219 |
-
"precision": 0.
|
| 1220 |
-
"recall": 0.
|
| 1221 |
-
"support":
|
| 1222 |
},
|
| 1223 |
"eval_O": {
|
| 1224 |
-
"f1-score": 0.
|
| 1225 |
-
"precision": 0.
|
| 1226 |
-
"recall": 0.
|
| 1227 |
-
"support":
|
| 1228 |
},
|
| 1229 |
"eval_Premise": {
|
| 1230 |
-
"f1-score": 0.
|
| 1231 |
-
"precision": 0.
|
| 1232 |
-
"recall": 0.
|
| 1233 |
-
"support":
|
| 1234 |
},
|
| 1235 |
-
"eval_accuracy": 0.
|
| 1236 |
-
"eval_loss": 1.
|
| 1237 |
"eval_macro avg": {
|
| 1238 |
-
"f1-score": 0.
|
| 1239 |
-
"precision": 0.
|
| 1240 |
-
"recall": 0.
|
| 1241 |
-
"support":
|
| 1242 |
-
},
|
| 1243 |
-
"eval_runtime": 4.
|
| 1244 |
-
"eval_samples_per_second": 16.
|
| 1245 |
-
"eval_steps_per_second": 2.
|
| 1246 |
"eval_weighted avg": {
|
| 1247 |
-
"f1-score": 0.
|
| 1248 |
-
"precision": 0.
|
| 1249 |
-
"recall": 0.
|
| 1250 |
-
"support":
|
| 1251 |
},
|
| 1252 |
"step": 2187
|
| 1253 |
},
|
| 1254 |
{
|
| 1255 |
"epoch": 28.0,
|
| 1256 |
"eval_Claim": {
|
| 1257 |
-
"f1-score": 0.
|
| 1258 |
-
"precision": 0.
|
| 1259 |
-
"recall": 0.
|
| 1260 |
-
"support":
|
| 1261 |
},
|
| 1262 |
"eval_MajorClaim": {
|
| 1263 |
-
"f1-score": 0.
|
| 1264 |
-
"precision": 0.
|
| 1265 |
-
"recall": 0.
|
| 1266 |
-
"support":
|
| 1267 |
},
|
| 1268 |
"eval_O": {
|
| 1269 |
-
"f1-score": 0.
|
| 1270 |
-
"precision": 0.
|
| 1271 |
-
"recall": 0.
|
| 1272 |
-
"support":
|
| 1273 |
},
|
| 1274 |
"eval_Premise": {
|
| 1275 |
-
"f1-score": 0.
|
| 1276 |
-
"precision": 0.
|
| 1277 |
-
"recall": 0.
|
| 1278 |
-
"support":
|
| 1279 |
},
|
| 1280 |
-
"eval_accuracy": 0.
|
| 1281 |
-
"eval_loss": 1.
|
| 1282 |
"eval_macro avg": {
|
| 1283 |
-
"f1-score": 0.
|
| 1284 |
-
"precision": 0.
|
| 1285 |
-
"recall": 0.
|
| 1286 |
-
"support":
|
| 1287 |
-
},
|
| 1288 |
-
"eval_runtime": 4.
|
| 1289 |
-
"eval_samples_per_second": 16.
|
| 1290 |
-
"eval_steps_per_second": 2.
|
| 1291 |
"eval_weighted avg": {
|
| 1292 |
-
"f1-score": 0.
|
| 1293 |
-
"precision": 0.
|
| 1294 |
-
"recall": 0.
|
| 1295 |
-
"support":
|
| 1296 |
},
|
| 1297 |
"step": 2268
|
| 1298 |
},
|
| 1299 |
{
|
| 1300 |
"epoch": 29.0,
|
| 1301 |
"eval_Claim": {
|
| 1302 |
-
"f1-score": 0.
|
| 1303 |
-
"precision": 0.
|
| 1304 |
-
"recall": 0.
|
| 1305 |
-
"support":
|
| 1306 |
},
|
| 1307 |
"eval_MajorClaim": {
|
| 1308 |
-
"f1-score": 0.
|
| 1309 |
-
"precision": 0.
|
| 1310 |
-
"recall": 0.
|
| 1311 |
-
"support":
|
| 1312 |
},
|
| 1313 |
"eval_O": {
|
| 1314 |
-
"f1-score": 0.
|
| 1315 |
-
"precision": 0.
|
| 1316 |
-
"recall": 0.
|
| 1317 |
-
"support":
|
| 1318 |
},
|
| 1319 |
"eval_Premise": {
|
| 1320 |
-
"f1-score": 0.
|
| 1321 |
-
"precision": 0.
|
| 1322 |
-
"recall": 0.
|
| 1323 |
-
"support":
|
| 1324 |
},
|
| 1325 |
-
"eval_accuracy": 0.
|
| 1326 |
-
"eval_loss": 1.
|
| 1327 |
"eval_macro avg": {
|
| 1328 |
-
"f1-score": 0.
|
| 1329 |
-
"precision": 0.
|
| 1330 |
-
"recall": 0.
|
| 1331 |
-
"support":
|
| 1332 |
-
},
|
| 1333 |
-
"eval_runtime": 4.
|
| 1334 |
-
"eval_samples_per_second": 16.
|
| 1335 |
-
"eval_steps_per_second": 2.
|
| 1336 |
"eval_weighted avg": {
|
| 1337 |
-
"f1-score": 0.
|
| 1338 |
-
"precision": 0.
|
| 1339 |
-
"recall": 0.
|
| 1340 |
-
"support":
|
| 1341 |
},
|
| 1342 |
"step": 2349
|
| 1343 |
},
|
| 1344 |
{
|
| 1345 |
"epoch": 30.0,
|
| 1346 |
"eval_Claim": {
|
| 1347 |
-
"f1-score": 0.
|
| 1348 |
-
"precision": 0.
|
| 1349 |
-
"recall": 0.
|
| 1350 |
-
"support":
|
| 1351 |
},
|
| 1352 |
"eval_MajorClaim": {
|
| 1353 |
-
"f1-score": 0.
|
| 1354 |
-
"precision": 0.
|
| 1355 |
-
"recall": 0.
|
| 1356 |
-
"support":
|
| 1357 |
},
|
| 1358 |
"eval_O": {
|
| 1359 |
-
"f1-score": 0.
|
| 1360 |
-
"precision": 0.
|
| 1361 |
-
"recall": 0.
|
| 1362 |
-
"support":
|
| 1363 |
},
|
| 1364 |
"eval_Premise": {
|
| 1365 |
-
"f1-score": 0.
|
| 1366 |
-
"precision": 0.
|
| 1367 |
-
"recall": 0.
|
| 1368 |
-
"support":
|
| 1369 |
},
|
| 1370 |
-
"eval_accuracy": 0.
|
| 1371 |
-
"eval_loss": 1.
|
| 1372 |
"eval_macro avg": {
|
| 1373 |
-
"f1-score": 0.
|
| 1374 |
-
"precision": 0.
|
| 1375 |
-
"recall": 0.
|
| 1376 |
-
"support":
|
| 1377 |
-
},
|
| 1378 |
-
"eval_runtime": 4.
|
| 1379 |
-
"eval_samples_per_second": 16.
|
| 1380 |
-
"eval_steps_per_second": 2.
|
| 1381 |
"eval_weighted avg": {
|
| 1382 |
-
"f1-score": 0.
|
| 1383 |
-
"precision": 0.
|
| 1384 |
-
"recall": 0.
|
| 1385 |
-
"support":
|
| 1386 |
},
|
| 1387 |
"step": 2430
|
| 1388 |
},
|
| 1389 |
{
|
| 1390 |
"epoch": 30.86,
|
| 1391 |
-
"grad_norm": 0.
|
| 1392 |
"learning_rate": 7.654320987654322e-06,
|
| 1393 |
-
"loss": 0.
|
| 1394 |
"step": 2500
|
| 1395 |
},
|
| 1396 |
{
|
| 1397 |
"epoch": 31.0,
|
| 1398 |
"eval_Claim": {
|
| 1399 |
-
"f1-score": 0.
|
| 1400 |
-
"precision": 0.
|
| 1401 |
-
"recall": 0.
|
| 1402 |
-
"support":
|
| 1403 |
},
|
| 1404 |
"eval_MajorClaim": {
|
| 1405 |
-
"f1-score": 0.
|
| 1406 |
-
"precision": 0.
|
| 1407 |
-
"recall": 0.
|
| 1408 |
-
"support":
|
| 1409 |
},
|
| 1410 |
"eval_O": {
|
| 1411 |
-
"f1-score": 0.
|
| 1412 |
-
"precision": 0.
|
| 1413 |
-
"recall": 0.
|
| 1414 |
-
"support":
|
| 1415 |
},
|
| 1416 |
"eval_Premise": {
|
| 1417 |
-
"f1-score": 0.
|
| 1418 |
-
"precision": 0.
|
| 1419 |
-
"recall": 0.
|
| 1420 |
-
"support":
|
| 1421 |
},
|
| 1422 |
-
"eval_accuracy": 0.
|
| 1423 |
-
"eval_loss": 1.
|
| 1424 |
"eval_macro avg": {
|
| 1425 |
-
"f1-score": 0.
|
| 1426 |
-
"precision": 0.
|
| 1427 |
-
"recall": 0.
|
| 1428 |
-
"support":
|
| 1429 |
-
},
|
| 1430 |
-
"eval_runtime": 4.
|
| 1431 |
-
"eval_samples_per_second": 16.
|
| 1432 |
-
"eval_steps_per_second": 2.
|
| 1433 |
"eval_weighted avg": {
|
| 1434 |
-
"f1-score": 0.
|
| 1435 |
-
"precision": 0.
|
| 1436 |
-
"recall": 0.
|
| 1437 |
-
"support":
|
| 1438 |
},
|
| 1439 |
"step": 2511
|
| 1440 |
},
|
| 1441 |
{
|
| 1442 |
"epoch": 32.0,
|
| 1443 |
"eval_Claim": {
|
| 1444 |
-
"f1-score": 0.
|
| 1445 |
-
"precision": 0.
|
| 1446 |
-
"recall": 0.
|
| 1447 |
-
"support":
|
| 1448 |
},
|
| 1449 |
"eval_MajorClaim": {
|
| 1450 |
-
"f1-score": 0.
|
| 1451 |
-
"precision": 0.
|
| 1452 |
-
"recall": 0.
|
| 1453 |
-
"support":
|
| 1454 |
},
|
| 1455 |
"eval_O": {
|
| 1456 |
-
"f1-score": 0.
|
| 1457 |
-
"precision": 0.
|
| 1458 |
-
"recall": 0.
|
| 1459 |
-
"support":
|
| 1460 |
},
|
| 1461 |
"eval_Premise": {
|
| 1462 |
-
"f1-score": 0.
|
| 1463 |
-
"precision": 0.
|
| 1464 |
-
"recall": 0.
|
| 1465 |
-
"support":
|
| 1466 |
},
|
| 1467 |
-
"eval_accuracy": 0.
|
| 1468 |
-
"eval_loss": 1.
|
| 1469 |
"eval_macro avg": {
|
| 1470 |
-
"f1-score": 0.
|
| 1471 |
-
"precision": 0.
|
| 1472 |
-
"recall": 0.
|
| 1473 |
-
"support":
|
| 1474 |
-
},
|
| 1475 |
-
"eval_runtime": 4.
|
| 1476 |
-
"eval_samples_per_second": 16.
|
| 1477 |
-
"eval_steps_per_second": 2.
|
| 1478 |
"eval_weighted avg": {
|
| 1479 |
-
"f1-score": 0.
|
| 1480 |
-
"precision": 0.
|
| 1481 |
-
"recall": 0.
|
| 1482 |
-
"support":
|
| 1483 |
},
|
| 1484 |
"step": 2592
|
| 1485 |
},
|
| 1486 |
{
|
| 1487 |
"epoch": 33.0,
|
| 1488 |
"eval_Claim": {
|
| 1489 |
-
"f1-score": 0.
|
| 1490 |
-
"precision": 0.
|
| 1491 |
-
"recall": 0.
|
| 1492 |
-
"support":
|
| 1493 |
},
|
| 1494 |
"eval_MajorClaim": {
|
| 1495 |
-
"f1-score": 0.
|
| 1496 |
-
"precision": 0.
|
| 1497 |
-
"recall": 0.
|
| 1498 |
-
"support":
|
| 1499 |
},
|
| 1500 |
"eval_O": {
|
| 1501 |
-
"f1-score": 0.
|
| 1502 |
-
"precision": 0.
|
| 1503 |
-
"recall": 0.
|
| 1504 |
-
"support":
|
| 1505 |
},
|
| 1506 |
"eval_Premise": {
|
| 1507 |
-
"f1-score": 0.
|
| 1508 |
-
"precision": 0.
|
| 1509 |
-
"recall": 0.
|
| 1510 |
-
"support":
|
| 1511 |
},
|
| 1512 |
-
"eval_accuracy": 0.
|
| 1513 |
-
"eval_loss": 1.
|
| 1514 |
"eval_macro avg": {
|
| 1515 |
-
"f1-score": 0.
|
| 1516 |
-
"precision": 0.
|
| 1517 |
-
"recall": 0.
|
| 1518 |
-
"support":
|
| 1519 |
-
},
|
| 1520 |
-
"eval_runtime":
|
| 1521 |
-
"eval_samples_per_second": 16.
|
| 1522 |
-
"eval_steps_per_second": 2.
|
| 1523 |
"eval_weighted avg": {
|
| 1524 |
-
"f1-score": 0.
|
| 1525 |
-
"precision": 0.
|
| 1526 |
-
"recall": 0.
|
| 1527 |
-
"support":
|
| 1528 |
},
|
| 1529 |
"step": 2673
|
| 1530 |
},
|
| 1531 |
{
|
| 1532 |
"epoch": 34.0,
|
| 1533 |
"eval_Claim": {
|
| 1534 |
-
"f1-score": 0.
|
| 1535 |
-
"precision": 0.
|
| 1536 |
-
"recall": 0.
|
| 1537 |
-
"support":
|
| 1538 |
},
|
| 1539 |
"eval_MajorClaim": {
|
| 1540 |
-
"f1-score": 0.
|
| 1541 |
-
"precision": 0.
|
| 1542 |
-
"recall": 0.
|
| 1543 |
-
"support":
|
| 1544 |
},
|
| 1545 |
"eval_O": {
|
| 1546 |
-
"f1-score": 0.
|
| 1547 |
-
"precision": 0.
|
| 1548 |
-
"recall": 0.
|
| 1549 |
-
"support":
|
| 1550 |
},
|
| 1551 |
"eval_Premise": {
|
| 1552 |
-
"f1-score": 0.
|
| 1553 |
-
"precision": 0.
|
| 1554 |
-
"recall": 0.
|
| 1555 |
-
"support":
|
| 1556 |
},
|
| 1557 |
-
"eval_accuracy": 0.
|
| 1558 |
-
"eval_loss": 1.
|
| 1559 |
"eval_macro avg": {
|
| 1560 |
-
"f1-score": 0.
|
| 1561 |
-
"precision": 0.
|
| 1562 |
-
"recall": 0.
|
| 1563 |
-
"support":
|
| 1564 |
-
},
|
| 1565 |
-
"eval_runtime": 4.
|
| 1566 |
-
"eval_samples_per_second": 16.
|
| 1567 |
-
"eval_steps_per_second": 2.
|
| 1568 |
"eval_weighted avg": {
|
| 1569 |
-
"f1-score": 0.
|
| 1570 |
-
"precision": 0.
|
| 1571 |
-
"recall": 0.
|
| 1572 |
-
"support":
|
| 1573 |
},
|
| 1574 |
"step": 2754
|
| 1575 |
},
|
| 1576 |
{
|
| 1577 |
"epoch": 35.0,
|
| 1578 |
"eval_Claim": {
|
| 1579 |
-
"f1-score": 0.
|
| 1580 |
-
"precision": 0.
|
| 1581 |
-
"recall": 0.
|
| 1582 |
-
"support":
|
| 1583 |
},
|
| 1584 |
"eval_MajorClaim": {
|
| 1585 |
-
"f1-score": 0.
|
| 1586 |
-
"precision": 0.
|
| 1587 |
-
"recall": 0.
|
| 1588 |
-
"support":
|
| 1589 |
},
|
| 1590 |
"eval_O": {
|
| 1591 |
-
"f1-score": 0.
|
| 1592 |
-
"precision": 0.
|
| 1593 |
-
"recall": 0.
|
| 1594 |
-
"support":
|
| 1595 |
},
|
| 1596 |
"eval_Premise": {
|
| 1597 |
-
"f1-score": 0.
|
| 1598 |
-
"precision": 0.
|
| 1599 |
-
"recall": 0.
|
| 1600 |
-
"support":
|
| 1601 |
},
|
| 1602 |
-
"eval_accuracy": 0.
|
| 1603 |
-
"eval_loss": 1.
|
| 1604 |
"eval_macro avg": {
|
| 1605 |
-
"f1-score": 0.
|
| 1606 |
-
"precision": 0.
|
| 1607 |
-
"recall": 0.
|
| 1608 |
-
"support":
|
| 1609 |
-
},
|
| 1610 |
-
"eval_runtime": 4.
|
| 1611 |
-
"eval_samples_per_second": 16.
|
| 1612 |
-
"eval_steps_per_second": 2.
|
| 1613 |
"eval_weighted avg": {
|
| 1614 |
-
"f1-score": 0.
|
| 1615 |
-
"precision": 0.
|
| 1616 |
-
"recall": 0.
|
| 1617 |
-
"support":
|
| 1618 |
},
|
| 1619 |
"step": 2835
|
| 1620 |
}
|
|
@@ -1624,7 +1624,7 @@
|
|
| 1624 |
"num_input_tokens_seen": 0,
|
| 1625 |
"num_train_epochs": 50,
|
| 1626 |
"save_steps": 500,
|
| 1627 |
-
"total_flos":
|
| 1628 |
"train_batch_size": 4,
|
| 1629 |
"trial_name": null,
|
| 1630 |
"trial_params": null
|
|
|
|
| 11 |
{
|
| 12 |
"epoch": 1.0,
|
| 13 |
"eval_Claim": {
|
| 14 |
+
"f1-score": 0.4888068880688806,
|
| 15 |
+
"precision": 0.6228840125391849,
|
| 16 |
+
"recall": 0.40222672064777326,
|
| 17 |
+
"support": 4940.0
|
| 18 |
},
|
| 19 |
"eval_MajorClaim": {
|
| 20 |
+
"f1-score": 0.7325278370054489,
|
| 21 |
+
"precision": 0.7604525332021643,
|
| 22 |
+
"recall": 0.706581352833638,
|
| 23 |
+
"support": 2188.0
|
| 24 |
},
|
| 25 |
"eval_O": {
|
| 26 |
+
"f1-score": 0.8634848138844484,
|
| 27 |
+
"precision": 0.827613377692173,
|
| 28 |
+
"recall": 0.902606702950444,
|
| 29 |
+
"support": 10473.0
|
| 30 |
},
|
| 31 |
"eval_Premise": {
|
| 32 |
+
"f1-score": 0.8792819197655248,
|
| 33 |
+
"precision": 0.8543458914268763,
|
| 34 |
+
"recall": 0.9057173407132524,
|
| 35 |
+
"support": 15899.0
|
| 36 |
},
|
| 37 |
+
"eval_accuracy": 0.8174925373134329,
|
| 38 |
+
"eval_loss": 0.49806877970695496,
|
| 39 |
"eval_macro avg": {
|
| 40 |
+
"f1-score": 0.7410253646810757,
|
| 41 |
+
"precision": 0.7663239537150996,
|
| 42 |
+
"recall": 0.7292830292862769,
|
| 43 |
+
"support": 33500.0
|
| 44 |
+
},
|
| 45 |
+
"eval_runtime": 4.9194,
|
| 46 |
+
"eval_samples_per_second": 16.465,
|
| 47 |
+
"eval_steps_per_second": 2.236,
|
| 48 |
"eval_weighted avg": {
|
| 49 |
+
"f1-score": 0.8071778099281224,
|
| 50 |
+
"precision": 0.80572410140167,
|
| 51 |
+
"recall": 0.8174925373134329,
|
| 52 |
+
"support": 33500.0
|
| 53 |
},
|
| 54 |
"step": 81
|
| 55 |
},
|
| 56 |
{
|
| 57 |
"epoch": 2.0,
|
| 58 |
"eval_Claim": {
|
| 59 |
+
"f1-score": 0.5993816254416962,
|
| 60 |
+
"precision": 0.6593780369290574,
|
| 61 |
+
"recall": 0.5493927125506073,
|
| 62 |
+
"support": 4940.0
|
| 63 |
},
|
| 64 |
"eval_MajorClaim": {
|
| 65 |
+
"f1-score": 0.8017817371937639,
|
| 66 |
+
"precision": 0.7197382769901853,
|
| 67 |
+
"recall": 0.9049360146252285,
|
| 68 |
+
"support": 2188.0
|
| 69 |
},
|
| 70 |
"eval_O": {
|
| 71 |
+
"f1-score": 0.9058997050147494,
|
| 72 |
+
"precision": 0.9337184554575859,
|
| 73 |
+
"recall": 0.8796906330564308,
|
| 74 |
+
"support": 10473.0
|
| 75 |
},
|
| 76 |
"eval_Premise": {
|
| 77 |
+
"f1-score": 0.8854737486606459,
|
| 78 |
+
"precision": 0.862579028987236,
|
| 79 |
+
"recall": 0.9096169570413234,
|
| 80 |
+
"support": 15899.0
|
| 81 |
},
|
| 82 |
+
"eval_accuracy": 0.8468358208955223,
|
| 83 |
+
"eval_loss": 0.4562840759754181,
|
| 84 |
"eval_macro avg": {
|
| 85 |
+
"f1-score": 0.7981342040777137,
|
| 86 |
+
"precision": 0.7938534495910161,
|
| 87 |
+
"recall": 0.8109090793183975,
|
| 88 |
+
"support": 33500.0
|
| 89 |
+
},
|
| 90 |
+
"eval_runtime": 4.904,
|
| 91 |
+
"eval_samples_per_second": 16.517,
|
| 92 |
+
"eval_steps_per_second": 2.243,
|
| 93 |
"eval_weighted avg": {
|
| 94 |
+
"f1-score": 0.8442053257085675,
|
| 95 |
+
"precision": 0.8455251408465503,
|
| 96 |
+
"recall": 0.8468358208955223,
|
| 97 |
+
"support": 33500.0
|
| 98 |
},
|
| 99 |
"step": 162
|
| 100 |
},
|
| 101 |
{
|
| 102 |
"epoch": 3.0,
|
| 103 |
"eval_Claim": {
|
| 104 |
+
"f1-score": 0.6235462150581514,
|
| 105 |
+
"precision": 0.6285479226655697,
|
| 106 |
+
"recall": 0.6186234817813765,
|
| 107 |
+
"support": 4940.0
|
| 108 |
},
|
| 109 |
"eval_MajorClaim": {
|
| 110 |
+
"f1-score": 0.8338848444738584,
|
| 111 |
+
"precision": 0.8059701492537313,
|
| 112 |
+
"recall": 0.8638025594149908,
|
| 113 |
+
"support": 2188.0
|
| 114 |
},
|
| 115 |
"eval_O": {
|
| 116 |
+
"f1-score": 0.9066250826953974,
|
| 117 |
+
"precision": 0.8974646833193002,
|
| 118 |
+
"recall": 0.9159744103886184,
|
| 119 |
+
"support": 10473.0
|
| 120 |
},
|
| 121 |
"eval_Premise": {
|
| 122 |
+
"f1-score": 0.8827730692315017,
|
| 123 |
+
"precision": 0.8911176621379133,
|
| 124 |
+
"recall": 0.8745833071262343,
|
| 125 |
+
"support": 15899.0
|
| 126 |
},
|
| 127 |
+
"eval_accuracy": 0.8490746268656716,
|
| 128 |
+
"eval_loss": 0.43820467591285706,
|
| 129 |
"eval_macro avg": {
|
| 130 |
+
"f1-score": 0.8117073028647273,
|
| 131 |
+
"precision": 0.8057751043441286,
|
| 132 |
+
"recall": 0.818245939677805,
|
| 133 |
+
"support": 33500.0
|
| 134 |
+
},
|
| 135 |
+
"eval_runtime": 4.9179,
|
| 136 |
+
"eval_samples_per_second": 16.47,
|
| 137 |
+
"eval_steps_per_second": 2.237,
|
| 138 |
"eval_weighted avg": {
|
| 139 |
+
"f1-score": 0.8488105033097496,
|
| 140 |
+
"precision": 0.8488213959184715,
|
| 141 |
+
"recall": 0.8490746268656716,
|
| 142 |
+
"support": 33500.0
|
| 143 |
},
|
| 144 |
"step": 243
|
| 145 |
},
|
| 146 |
{
|
| 147 |
"epoch": 4.0,
|
| 148 |
"eval_Claim": {
|
| 149 |
+
"f1-score": 0.6415287144900879,
|
| 150 |
+
"precision": 0.6477507222451506,
|
| 151 |
+
"recall": 0.6354251012145749,
|
| 152 |
+
"support": 4940.0
|
| 153 |
},
|
| 154 |
"eval_MajorClaim": {
|
| 155 |
+
"f1-score": 0.8005126014523707,
|
| 156 |
+
"precision": 0.7514033680834001,
|
| 157 |
+
"recall": 0.856489945155393,
|
| 158 |
+
"support": 2188.0
|
| 159 |
},
|
| 160 |
"eval_O": {
|
| 161 |
+
"f1-score": 0.9065169636319258,
|
| 162 |
+
"precision": 0.9273871354374751,
|
| 163 |
+
"recall": 0.8865654540246348,
|
| 164 |
+
"support": 10473.0
|
| 165 |
},
|
| 166 |
"eval_Premise": {
|
| 167 |
+
"f1-score": 0.8932505382719131,
|
| 168 |
+
"precision": 0.8863636363636364,
|
| 169 |
+
"recall": 0.9002452984464432,
|
| 170 |
+
"support": 15899.0
|
| 171 |
},
|
| 172 |
+
"eval_accuracy": 0.8540597014925373,
|
| 173 |
+
"eval_loss": 0.4749625325202942,
|
| 174 |
"eval_macro avg": {
|
| 175 |
+
"f1-score": 0.8104522044615743,
|
| 176 |
+
"precision": 0.8032262155324155,
|
| 177 |
+
"recall": 0.8196814497102615,
|
| 178 |
+
"support": 33500.0
|
| 179 |
+
},
|
| 180 |
+
"eval_runtime": 4.8972,
|
| 181 |
+
"eval_samples_per_second": 16.54,
|
| 182 |
+
"eval_steps_per_second": 2.246,
|
| 183 |
"eval_weighted avg": {
|
| 184 |
+
"f1-score": 0.8542213698406307,
|
| 185 |
+
"precision": 0.8551874645146165,
|
| 186 |
+
"recall": 0.8540597014925373,
|
| 187 |
+
"support": 33500.0
|
| 188 |
},
|
| 189 |
"step": 324
|
| 190 |
},
|
| 191 |
{
|
| 192 |
"epoch": 5.0,
|
| 193 |
"eval_Claim": {
|
| 194 |
+
"f1-score": 0.6099687080911935,
|
| 195 |
+
"precision": 0.6808882235528942,
|
| 196 |
+
"recall": 0.5524291497975709,
|
| 197 |
+
"support": 4940.0
|
| 198 |
},
|
| 199 |
"eval_MajorClaim": {
|
| 200 |
+
"f1-score": 0.8315018315018317,
|
| 201 |
+
"precision": 0.8330275229357799,
|
| 202 |
+
"recall": 0.829981718464351,
|
| 203 |
+
"support": 2188.0
|
| 204 |
},
|
| 205 |
"eval_O": {
|
| 206 |
+
"f1-score": 0.9103454839630722,
|
| 207 |
+
"precision": 0.9074091642159188,
|
| 208 |
+
"recall": 0.9133008689009835,
|
| 209 |
+
"support": 10473.0
|
| 210 |
},
|
| 211 |
"eval_Premise": {
|
| 212 |
+
"f1-score": 0.8913988368533824,
|
| 213 |
+
"precision": 0.8682249120505635,
|
| 214 |
+
"recall": 0.915843763758727,
|
| 215 |
+
"support": 15899.0
|
| 216 |
},
|
| 217 |
+
"eval_accuracy": 0.8558507462686568,
|
| 218 |
+
"eval_loss": 0.5162495374679565,
|
| 219 |
"eval_macro avg": {
|
| 220 |
+
"f1-score": 0.8108037151023699,
|
| 221 |
+
"precision": 0.8223874556887891,
|
| 222 |
+
"recall": 0.8028888752304081,
|
| 223 |
+
"support": 33500.0
|
| 224 |
+
},
|
| 225 |
+
"eval_runtime": 4.9413,
|
| 226 |
+
"eval_samples_per_second": 16.392,
|
| 227 |
+
"eval_steps_per_second": 2.226,
|
| 228 |
"eval_weighted avg": {
|
| 229 |
+
"f1-score": 0.8519095458499607,
|
| 230 |
+
"precision": 0.8505509283002989,
|
| 231 |
+
"recall": 0.8558507462686568,
|
| 232 |
+
"support": 33500.0
|
| 233 |
},
|
| 234 |
"step": 405
|
| 235 |
},
|
| 236 |
{
|
| 237 |
"epoch": 6.0,
|
| 238 |
"eval_Claim": {
|
| 239 |
+
"f1-score": 0.646279703934554,
|
| 240 |
+
"precision": 0.6227477477477478,
|
| 241 |
+
"recall": 0.6716599190283401,
|
| 242 |
+
"support": 4940.0
|
| 243 |
},
|
| 244 |
"eval_MajorClaim": {
|
| 245 |
+
"f1-score": 0.8414067684140676,
|
| 246 |
+
"precision": 0.8152593227603944,
|
| 247 |
+
"recall": 0.8692870201096892,
|
| 248 |
+
"support": 2188.0
|
| 249 |
},
|
| 250 |
"eval_O": {
|
| 251 |
+
"f1-score": 0.9112506693929215,
|
| 252 |
+
"precision": 0.9295788637266588,
|
| 253 |
+
"recall": 0.8936312422419556,
|
| 254 |
+
"support": 10473.0
|
| 255 |
},
|
| 256 |
"eval_Premise": {
|
| 257 |
+
"f1-score": 0.8861383012314494,
|
| 258 |
+
"precision": 0.8897343224906474,
|
| 259 |
+
"recall": 0.8825712308950249,
|
| 260 |
+
"support": 15899.0
|
| 261 |
},
|
| 262 |
+
"eval_accuracy": 0.8540597014925373,
|
| 263 |
+
"eval_loss": 0.552895724773407,
|
| 264 |
"eval_macro avg": {
|
| 265 |
+
"f1-score": 0.8212688607432481,
|
| 266 |
+
"precision": 0.8143300641813621,
|
| 267 |
+
"recall": 0.8292873530687525,
|
| 268 |
+
"support": 33500.0
|
| 269 |
+
},
|
| 270 |
+
"eval_runtime": 4.9336,
|
| 271 |
+
"eval_samples_per_second": 16.418,
|
| 272 |
+
"eval_steps_per_second": 2.23,
|
| 273 |
"eval_weighted avg": {
|
| 274 |
+
"f1-score": 0.8556973390614198,
|
| 275 |
+
"precision": 0.8579560210496036,
|
| 276 |
+
"recall": 0.8540597014925373,
|
| 277 |
+
"support": 33500.0
|
| 278 |
},
|
| 279 |
"step": 486
|
| 280 |
},
|
| 281 |
{
|
| 282 |
"epoch": 6.17,
|
| 283 |
+
"grad_norm": 9.790245056152344,
|
| 284 |
"learning_rate": 1.7530864197530865e-05,
|
| 285 |
+
"loss": 0.3328,
|
| 286 |
"step": 500
|
| 287 |
},
|
| 288 |
{
|
| 289 |
"epoch": 7.0,
|
| 290 |
"eval_Claim": {
|
| 291 |
+
"f1-score": 0.6202600808654791,
|
| 292 |
+
"precision": 0.6739491807171694,
|
| 293 |
+
"recall": 0.5744939271255061,
|
| 294 |
+
"support": 4940.0
|
| 295 |
},
|
| 296 |
"eval_MajorClaim": {
|
| 297 |
+
"f1-score": 0.8670041417395307,
|
| 298 |
+
"precision": 0.8730305838739574,
|
| 299 |
+
"recall": 0.8610603290676416,
|
| 300 |
+
"support": 2188.0
|
| 301 |
},
|
| 302 |
"eval_O": {
|
| 303 |
+
"f1-score": 0.9109892729439809,
|
| 304 |
+
"precision": 0.9097314797181489,
|
| 305 |
+
"recall": 0.9122505490308412,
|
| 306 |
+
"support": 10473.0
|
| 307 |
},
|
| 308 |
"eval_Premise": {
|
| 309 |
+
"f1-score": 0.8872356123954747,
|
| 310 |
+
"precision": 0.8677611401767996,
|
| 311 |
+
"recall": 0.9076042518397384,
|
| 312 |
+
"support": 15899.0
|
| 313 |
},
|
| 314 |
+
"eval_accuracy": 0.8568955223880597,
|
| 315 |
+
"eval_loss": 0.5894299149513245,
|
| 316 |
"eval_macro avg": {
|
| 317 |
+
"f1-score": 0.8213722769861164,
|
| 318 |
+
"precision": 0.8311180961215189,
|
| 319 |
+
"recall": 0.8138522642659318,
|
| 320 |
+
"support": 33500.0
|
| 321 |
+
},
|
| 322 |
+
"eval_runtime": 4.9037,
|
| 323 |
+
"eval_samples_per_second": 16.518,
|
| 324 |
+
"eval_steps_per_second": 2.243,
|
| 325 |
"eval_weighted avg": {
|
| 326 |
+
"f1-score": 0.8539713289140156,
|
| 327 |
+
"precision": 0.8526463291050193,
|
| 328 |
+
"recall": 0.8568955223880597,
|
| 329 |
+
"support": 33500.0
|
| 330 |
},
|
| 331 |
"step": 567
|
| 332 |
},
|
| 333 |
{
|
| 334 |
"epoch": 8.0,
|
| 335 |
"eval_Claim": {
|
| 336 |
+
"f1-score": 0.6441500279902966,
|
| 337 |
+
"precision": 0.5974385600553825,
|
| 338 |
+
"recall": 0.6987854251012146,
|
| 339 |
+
"support": 4940.0
|
| 340 |
},
|
| 341 |
"eval_MajorClaim": {
|
| 342 |
+
"f1-score": 0.834510811389424,
|
| 343 |
+
"precision": 0.7849375755134917,
|
| 344 |
+
"recall": 0.8907678244972578,
|
| 345 |
+
"support": 2188.0
|
| 346 |
},
|
| 347 |
"eval_O": {
|
| 348 |
+
"f1-score": 0.9059161060546101,
|
| 349 |
+
"precision": 0.9398542543364466,
|
| 350 |
+
"recall": 0.874343550081161,
|
| 351 |
+
"support": 10473.0
|
| 352 |
},
|
| 353 |
"eval_Premise": {
|
| 354 |
+
"f1-score": 0.8801401497053671,
|
| 355 |
+
"precision": 0.8915849251419721,
|
| 356 |
+
"recall": 0.8689854707843261,
|
| 357 |
+
"support": 15899.0
|
| 358 |
},
|
| 359 |
+
"eval_accuracy": 0.8469850746268657,
|
| 360 |
+
"eval_loss": 0.5878348350524902,
|
| 361 |
"eval_macro avg": {
|
| 362 |
+
"f1-score": 0.8161792737849245,
|
| 363 |
+
"precision": 0.8034538287618231,
|
| 364 |
+
"recall": 0.8332205676159898,
|
| 365 |
+
"support": 33500.0
|
| 366 |
+
},
|
| 367 |
+
"eval_runtime": 4.9086,
|
| 368 |
+
"eval_samples_per_second": 16.502,
|
| 369 |
+
"eval_steps_per_second": 2.241,
|
| 370 |
"eval_weighted avg": {
|
| 371 |
+
"f1-score": 0.8504184600736624,
|
| 372 |
+
"precision": 0.8563340964894008,
|
| 373 |
+
"recall": 0.8469850746268657,
|
| 374 |
+
"support": 33500.0
|
| 375 |
},
|
| 376 |
"step": 648
|
| 377 |
},
|
| 378 |
{
|
| 379 |
"epoch": 9.0,
|
| 380 |
"eval_Claim": {
|
| 381 |
+
"f1-score": 0.6323094193285029,
|
| 382 |
+
"precision": 0.6375797489195307,
|
| 383 |
+
"recall": 0.6271255060728745,
|
| 384 |
+
"support": 4940.0
|
| 385 |
},
|
| 386 |
"eval_MajorClaim": {
|
| 387 |
+
"f1-score": 0.8525914292124747,
|
| 388 |
+
"precision": 0.8373732921992068,
|
| 389 |
+
"recall": 0.8683729433272395,
|
| 390 |
+
"support": 2188.0
|
| 391 |
},
|
| 392 |
"eval_O": {
|
| 393 |
+
"f1-score": 0.9054132151801194,
|
| 394 |
+
"precision": 0.9134194927606647,
|
| 395 |
+
"recall": 0.8975460708488494,
|
| 396 |
+
"support": 10473.0
|
| 397 |
},
|
| 398 |
"eval_Premise": {
|
| 399 |
+
"f1-score": 0.8888055034396498,
|
| 400 |
+
"precision": 0.883775884584292,
|
| 401 |
+
"recall": 0.8938926976539405,
|
| 402 |
+
"support": 15899.0
|
| 403 |
},
|
| 404 |
+
"eval_accuracy": 0.8540298507462687,
|
| 405 |
+
"eval_loss": 0.7043101191520691,
|
| 406 |
"eval_macro avg": {
|
| 407 |
+
"f1-score": 0.8197798917901866,
|
| 408 |
+
"precision": 0.8180371046159236,
|
| 409 |
+
"recall": 0.821734304475726,
|
| 410 |
+
"support": 33500.0
|
| 411 |
+
},
|
| 412 |
+
"eval_runtime": 4.935,
|
| 413 |
+
"eval_samples_per_second": 16.414,
|
| 414 |
+
"eval_steps_per_second": 2.229,
|
| 415 |
"eval_weighted avg": {
|
| 416 |
+
"f1-score": 0.853808653145316,
|
| 417 |
+
"precision": 0.8537078167069386,
|
| 418 |
+
"recall": 0.8540298507462687,
|
| 419 |
+
"support": 33500.0
|
| 420 |
},
|
| 421 |
"step": 729
|
| 422 |
},
|
| 423 |
{
|
| 424 |
"epoch": 10.0,
|
| 425 |
"eval_Claim": {
|
| 426 |
+
"f1-score": 0.6347110795166041,
|
| 427 |
+
"precision": 0.6368453230079478,
|
| 428 |
+
"recall": 0.6325910931174089,
|
| 429 |
+
"support": 4940.0
|
| 430 |
},
|
| 431 |
"eval_MajorClaim": {
|
| 432 |
+
"f1-score": 0.8442090055381651,
|
| 433 |
+
"precision": 0.8921119592875318,
|
| 434 |
+
"recall": 0.8011882998171846,
|
| 435 |
+
"support": 2188.0
|
| 436 |
},
|
| 437 |
"eval_O": {
|
| 438 |
+
"f1-score": 0.9106677408653618,
|
| 439 |
+
"precision": 0.9040270982310877,
|
| 440 |
+
"recall": 0.9174066647569942,
|
| 441 |
+
"support": 10473.0
|
| 442 |
},
|
| 443 |
"eval_Premise": {
|
| 444 |
+
"f1-score": 0.8841656478259506,
|
| 445 |
+
"precision": 0.881375,
|
| 446 |
+
"recall": 0.8869740235234921,
|
| 447 |
+
"support": 15899.0
|
| 448 |
},
|
| 449 |
+
"eval_accuracy": 0.8533731343283583,
|
| 450 |
+
"eval_loss": 0.7164433002471924,
|
| 451 |
"eval_macro avg": {
|
| 452 |
+
"f1-score": 0.8184383684365204,
|
| 453 |
+
"precision": 0.8285898451316418,
|
| 454 |
+
"recall": 0.8095400203037699,
|
| 455 |
+
"support": 33500.0
|
| 456 |
+
},
|
| 457 |
+
"eval_runtime": 4.9093,
|
| 458 |
+
"eval_samples_per_second": 16.499,
|
| 459 |
+
"eval_steps_per_second": 2.241,
|
| 460 |
"eval_weighted avg": {
|
| 461 |
+
"f1-score": 0.8530559678148433,
|
| 462 |
+
"precision": 0.8530989190255094,
|
| 463 |
+
"recall": 0.8533731343283583,
|
| 464 |
+
"support": 33500.0
|
| 465 |
},
|
| 466 |
"step": 810
|
| 467 |
},
|
| 468 |
{
|
| 469 |
"epoch": 11.0,
|
| 470 |
"eval_Claim": {
|
| 471 |
+
"f1-score": 0.645658668208538,
|
| 472 |
+
"precision": 0.6161486113665624,
|
| 473 |
+
"recall": 0.6781376518218624,
|
| 474 |
+
"support": 4940.0
|
| 475 |
},
|
| 476 |
"eval_MajorClaim": {
|
| 477 |
+
"f1-score": 0.8331177231565331,
|
| 478 |
+
"precision": 0.7885714285714286,
|
| 479 |
+
"recall": 0.8829981718464351,
|
| 480 |
+
"support": 2188.0
|
| 481 |
},
|
| 482 |
"eval_O": {
|
| 483 |
+
"f1-score": 0.9059711059612445,
|
| 484 |
+
"precision": 0.9366843393148451,
|
| 485 |
+
"recall": 0.8772080588179128,
|
| 486 |
+
"support": 10473.0
|
| 487 |
},
|
| 488 |
"eval_Premise": {
|
| 489 |
+
"f1-score": 0.8902977542265961,
|
| 490 |
+
"precision": 0.8929452704840241,
|
| 491 |
+
"recall": 0.8876658909365369,
|
| 492 |
+
"support": 15899.0
|
| 493 |
},
|
| 494 |
+
"eval_accuracy": 0.8531940298507462,
|
| 495 |
+
"eval_loss": 0.7852362394332886,
|
| 496 |
"eval_macro avg": {
|
| 497 |
+
"f1-score": 0.818761312888228,
|
| 498 |
+
"precision": 0.8085874124342151,
|
| 499 |
+
"recall": 0.8315024433556868,
|
| 500 |
+
"support": 33500.0
|
| 501 |
+
},
|
| 502 |
+
"eval_runtime": 4.89,
|
| 503 |
+
"eval_samples_per_second": 16.565,
|
| 504 |
+
"eval_steps_per_second": 2.25,
|
| 505 |
"eval_weighted avg": {
|
| 506 |
+
"f1-score": 0.8553879040715653,
|
| 507 |
+
"precision": 0.8589850855801485,
|
| 508 |
+
"recall": 0.8531940298507462,
|
| 509 |
+
"support": 33500.0
|
| 510 |
},
|
| 511 |
"step": 891
|
| 512 |
},
|
| 513 |
{
|
| 514 |
"epoch": 12.0,
|
| 515 |
"eval_Claim": {
|
| 516 |
+
"f1-score": 0.6329215627196947,
|
| 517 |
+
"precision": 0.6280645804265498,
|
| 518 |
+
"recall": 0.6378542510121458,
|
| 519 |
+
"support": 4940.0
|
| 520 |
},
|
| 521 |
"eval_MajorClaim": {
|
| 522 |
+
"f1-score": 0.8528368794326241,
|
| 523 |
+
"precision": 0.8278829604130808,
|
| 524 |
+
"recall": 0.8793418647166362,
|
| 525 |
+
"support": 2188.0
|
| 526 |
},
|
| 527 |
"eval_O": {
|
| 528 |
+
"f1-score": 0.9126755145220234,
|
| 529 |
+
"precision": 0.9193064031773709,
|
| 530 |
+
"recall": 0.9061395970591044,
|
| 531 |
+
"support": 10473.0
|
| 532 |
},
|
| 533 |
"eval_Premise": {
|
| 534 |
+
"f1-score": 0.8876634630534112,
|
| 535 |
+
"precision": 0.8894291487749432,
|
| 536 |
+
"recall": 0.88590477388515,
|
| 537 |
+
"support": 15899.0
|
| 538 |
},
|
| 539 |
+
"eval_accuracy": 0.8552238805970149,
|
| 540 |
+
"eval_loss": 0.8324545621871948,
|
| 541 |
"eval_macro avg": {
|
| 542 |
+
"f1-score": 0.8215243549319383,
|
| 543 |
+
"precision": 0.8161707731979861,
|
| 544 |
+
"recall": 0.827310121668259,
|
| 545 |
+
"support": 33500.0
|
| 546 |
+
},
|
| 547 |
+
"eval_runtime": 4.8939,
|
| 548 |
+
"eval_samples_per_second": 16.551,
|
| 549 |
+
"eval_steps_per_second": 2.248,
|
| 550 |
"eval_weighted avg": {
|
| 551 |
+
"f1-score": 0.8556433335734092,
|
| 552 |
+
"precision": 0.8562082669116539,
|
| 553 |
+
"recall": 0.8552238805970149,
|
| 554 |
+
"support": 33500.0
|
| 555 |
},
|
| 556 |
"step": 972
|
| 557 |
},
|
| 558 |
{
|
| 559 |
"epoch": 12.35,
|
| 560 |
+
"grad_norm": 2.6090729236602783,
|
| 561 |
"learning_rate": 1.506172839506173e-05,
|
| 562 |
+
"loss": 0.0589,
|
| 563 |
"step": 1000
|
| 564 |
},
|
| 565 |
{
|
| 566 |
"epoch": 13.0,
|
| 567 |
"eval_Claim": {
|
| 568 |
+
"f1-score": 0.6431152147731835,
|
| 569 |
+
"precision": 0.6377388535031847,
|
| 570 |
+
"recall": 0.648582995951417,
|
| 571 |
+
"support": 4940.0
|
| 572 |
},
|
| 573 |
"eval_MajorClaim": {
|
| 574 |
+
"f1-score": 0.8326953388876379,
|
| 575 |
+
"precision": 0.8206835330670218,
|
| 576 |
+
"recall": 0.8450639853747715,
|
| 577 |
+
"support": 2188.0
|
| 578 |
},
|
| 579 |
"eval_O": {
|
| 580 |
+
"f1-score": 0.904438383337466,
|
| 581 |
+
"precision": 0.9408790755262072,
|
| 582 |
+
"recall": 0.8707151723479424,
|
| 583 |
+
"support": 10473.0
|
| 584 |
},
|
| 585 |
"eval_Premise": {
|
| 586 |
+
"f1-score": 0.892013567684243,
|
| 587 |
+
"precision": 0.8749621922448733,
|
| 588 |
+
"recall": 0.9097427511164224,
|
| 589 |
+
"support": 15899.0
|
| 590 |
},
|
| 591 |
+
"eval_accuracy": 0.8548059701492537,
|
| 592 |
+
"eval_loss": 0.8543176651000977,
|
| 593 |
"eval_macro avg": {
|
| 594 |
+
"f1-score": 0.8180656261706326,
|
| 595 |
+
"precision": 0.8185659135853218,
|
| 596 |
+
"recall": 0.8185262261976383,
|
| 597 |
+
"support": 33500.0
|
| 598 |
+
},
|
| 599 |
+
"eval_runtime": 4.9338,
|
| 600 |
+
"eval_samples_per_second": 16.417,
|
| 601 |
+
"eval_steps_per_second": 2.23,
|
| 602 |
"eval_weighted avg": {
|
| 603 |
+
"f1-score": 0.8553204019036041,
|
| 604 |
+
"precision": 0.8570428644520474,
|
| 605 |
+
"recall": 0.8548059701492537,
|
| 606 |
+
"support": 33500.0
|
| 607 |
},
|
| 608 |
"step": 1053
|
| 609 |
},
|
| 610 |
{
|
| 611 |
"epoch": 14.0,
|
| 612 |
"eval_Claim": {
|
| 613 |
+
"f1-score": 0.6541843971631205,
|
| 614 |
+
"precision": 0.6138420585625555,
|
| 615 |
+
"recall": 0.7002024291497976,
|
| 616 |
+
"support": 4940.0
|
| 617 |
},
|
| 618 |
"eval_MajorClaim": {
|
| 619 |
+
"f1-score": 0.8336528221512247,
|
| 620 |
+
"precision": 0.7806142800159553,
|
| 621 |
+
"recall": 0.8944241316270567,
|
| 622 |
+
"support": 2188.0
|
| 623 |
},
|
| 624 |
"eval_O": {
|
| 625 |
+
"f1-score": 0.9079845651528643,
|
| 626 |
+
"precision": 0.9421004003695719,
|
| 627 |
+
"recall": 0.8762532225723288,
|
| 628 |
+
"support": 10473.0
|
| 629 |
},
|
| 630 |
"eval_Premise": {
|
| 631 |
+
"f1-score": 0.889389516436096,
|
| 632 |
+
"precision": 0.8974194787731319,
|
| 633 |
+
"recall": 0.8815019812566828,
|
| 634 |
+
"support": 15899.0
|
| 635 |
},
|
| 636 |
+
"eval_accuracy": 0.8539701492537314,
|
| 637 |
+
"eval_loss": 0.9095103144645691,
|
| 638 |
"eval_macro avg": {
|
| 639 |
+
"f1-score": 0.8213028252258264,
|
| 640 |
+
"precision": 0.8084940544303038,
|
| 641 |
+
"recall": 0.8380954411514664,
|
| 642 |
+
"support": 33500.0
|
| 643 |
+
},
|
| 644 |
+
"eval_runtime": 4.8917,
|
| 645 |
+
"eval_samples_per_second": 16.559,
|
| 646 |
+
"eval_steps_per_second": 2.249,
|
| 647 |
"eval_weighted avg": {
|
| 648 |
+
"f1-score": 0.8568784946124219,
|
| 649 |
+
"precision": 0.8619418985092084,
|
| 650 |
+
"recall": 0.8539701492537314,
|
| 651 |
+
"support": 33500.0
|
| 652 |
},
|
| 653 |
"step": 1134
|
| 654 |
},
|
| 655 |
{
|
| 656 |
"epoch": 15.0,
|
| 657 |
"eval_Claim": {
|
| 658 |
+
"f1-score": 0.631984585741811,
|
| 659 |
+
"precision": 0.6332046332046332,
|
| 660 |
+
"recall": 0.6307692307692307,
|
| 661 |
+
"support": 4940.0
|
| 662 |
},
|
| 663 |
"eval_MajorClaim": {
|
| 664 |
+
"f1-score": 0.8264781491002571,
|
| 665 |
+
"precision": 0.7778225806451613,
|
| 666 |
+
"recall": 0.8816270566727605,
|
| 667 |
+
"support": 2188.0
|
| 668 |
},
|
| 669 |
"eval_O": {
|
| 670 |
+
"f1-score": 0.8970963775654971,
|
| 671 |
+
"precision": 0.8886910896655111,
|
| 672 |
+
"recall": 0.9056621789363124,
|
| 673 |
+
"support": 10473.0
|
| 674 |
},
|
| 675 |
"eval_Premise": {
|
| 676 |
+
"f1-score": 0.8838946528332003,
|
| 677 |
+
"precision": 0.8974458706080644,
|
| 678 |
+
"recall": 0.8707465878357129,
|
| 679 |
+
"support": 15899.0
|
| 680 |
},
|
| 681 |
+
"eval_accuracy": 0.8469850746268657,
|
| 682 |
+
"eval_loss": 0.9576827883720398,
|
| 683 |
"eval_macro avg": {
|
| 684 |
+
"f1-score": 0.8098634413101913,
|
| 685 |
+
"precision": 0.7992910435308425,
|
| 686 |
+
"recall": 0.8222012635535042,
|
| 687 |
+
"support": 33500.0
|
| 688 |
+
},
|
| 689 |
+
"eval_runtime": 4.8883,
|
| 690 |
+
"eval_samples_per_second": 16.57,
|
| 691 |
+
"eval_steps_per_second": 2.25,
|
| 692 |
"eval_weighted avg": {
|
| 693 |
+
"f1-score": 0.8471244624308779,
|
| 694 |
+
"precision": 0.8479301603984184,
|
| 695 |
+
"recall": 0.8469850746268657,
|
| 696 |
+
"support": 33500.0
|
| 697 |
},
|
| 698 |
"step": 1215
|
| 699 |
},
|
| 700 |
{
|
| 701 |
"epoch": 16.0,
|
| 702 |
"eval_Claim": {
|
| 703 |
+
"f1-score": 0.6332942805410586,
|
| 704 |
+
"precision": 0.6682400539447066,
|
| 705 |
+
"recall": 0.6018218623481781,
|
| 706 |
+
"support": 4940.0
|
| 707 |
},
|
| 708 |
"eval_MajorClaim": {
|
| 709 |
+
"f1-score": 0.8478211270819075,
|
| 710 |
+
"precision": 0.8464692482915718,
|
| 711 |
+
"recall": 0.8491773308957953,
|
| 712 |
+
"support": 2188.0
|
| 713 |
},
|
| 714 |
"eval_O": {
|
| 715 |
+
"f1-score": 0.9089773764349872,
|
| 716 |
+
"precision": 0.9145563502803016,
|
| 717 |
+
"recall": 0.9034660555714695,
|
| 718 |
+
"support": 10473.0
|
| 719 |
},
|
| 720 |
"eval_Premise": {
|
| 721 |
+
"f1-score": 0.8924681415656145,
|
| 722 |
+
"precision": 0.8759539672925499,
|
| 723 |
+
"recall": 0.9096169570413234,
|
| 724 |
+
"support": 15899.0
|
| 725 |
},
|
| 726 |
+
"eval_accuracy": 0.8583582089552239,
|
| 727 |
+
"eval_loss": 0.9394893646240234,
|
| 728 |
"eval_macro avg": {
|
| 729 |
+
"f1-score": 0.8206402314058919,
|
| 730 |
+
"precision": 0.8263049049522826,
|
| 731 |
+
"recall": 0.8160205514641916,
|
| 732 |
+
"support": 33500.0
|
| 733 |
+
},
|
| 734 |
+
"eval_runtime": 4.896,
|
| 735 |
+
"eval_samples_per_second": 16.544,
|
| 736 |
+
"eval_steps_per_second": 2.247,
|
| 737 |
"eval_weighted avg": {
|
| 738 |
+
"f1-score": 0.8564948483009961,
|
| 739 |
+
"precision": 0.8554663093796615,
|
| 740 |
+
"recall": 0.8583582089552239,
|
| 741 |
+
"support": 33500.0
|
| 742 |
},
|
| 743 |
"step": 1296
|
| 744 |
},
|
| 745 |
{
|
| 746 |
"epoch": 17.0,
|
| 747 |
"eval_Claim": {
|
| 748 |
+
"f1-score": 0.6431561322729175,
|
| 749 |
+
"precision": 0.6657279029462738,
|
| 750 |
+
"recall": 0.6220647773279352,
|
| 751 |
+
"support": 4940.0
|
| 752 |
},
|
| 753 |
"eval_MajorClaim": {
|
| 754 |
+
"f1-score": 0.8454073572556984,
|
| 755 |
+
"precision": 0.8350423539901917,
|
| 756 |
+
"recall": 0.8560329067641682,
|
| 757 |
+
"support": 2188.0
|
| 758 |
},
|
| 759 |
"eval_O": {
|
| 760 |
+
"f1-score": 0.909496556407023,
|
| 761 |
+
"precision": 0.9241991128634796,
|
| 762 |
+
"recall": 0.8952544638594481,
|
| 763 |
+
"support": 10473.0
|
| 764 |
},
|
| 765 |
"eval_Premise": {
|
| 766 |
+
"f1-score": 0.8953850902917116,
|
| 767 |
+
"precision": 0.8791828322017459,
|
| 768 |
+
"recall": 0.9121957355808541,
|
| 769 |
+
"support": 15899.0
|
| 770 |
},
|
| 771 |
+
"eval_accuracy": 0.8604477611940299,
|
| 772 |
+
"eval_loss": 0.9581068754196167,
|
| 773 |
"eval_macro avg": {
|
| 774 |
+
"f1-score": 0.8233612840568376,
|
| 775 |
+
"precision": 0.8260380505004228,
|
| 776 |
+
"recall": 0.8213869708831014,
|
| 777 |
+
"support": 33500.0
|
| 778 |
+
},
|
| 779 |
+
"eval_runtime": 4.8973,
|
| 780 |
+
"eval_samples_per_second": 16.54,
|
| 781 |
+
"eval_steps_per_second": 2.246,
|
| 782 |
"eval_weighted avg": {
|
| 783 |
+
"f1-score": 0.859338136623951,
|
| 784 |
+
"precision": 0.8588965274411914,
|
| 785 |
+
"recall": 0.8604477611940299,
|
| 786 |
+
"support": 33500.0
|
| 787 |
},
|
| 788 |
"step": 1377
|
| 789 |
},
|
| 790 |
{
|
| 791 |
"epoch": 18.0,
|
| 792 |
"eval_Claim": {
|
| 793 |
+
"f1-score": 0.6493941483597675,
|
| 794 |
+
"precision": 0.632508155824218,
|
| 795 |
+
"recall": 0.6672064777327935,
|
| 796 |
+
"support": 4940.0
|
| 797 |
},
|
| 798 |
"eval_MajorClaim": {
|
| 799 |
+
"f1-score": 0.8654810761513908,
|
| 800 |
+
"precision": 0.8635122838944495,
|
| 801 |
+
"recall": 0.8674588665447898,
|
| 802 |
+
"support": 2188.0
|
| 803 |
},
|
| 804 |
"eval_O": {
|
| 805 |
+
"f1-score": 0.9125304729400293,
|
| 806 |
+
"precision": 0.9323503038756601,
|
| 807 |
+
"recall": 0.8935357586173971,
|
| 808 |
+
"support": 10473.0
|
| 809 |
},
|
| 810 |
"eval_Premise": {
|
| 811 |
+
"f1-score": 0.8928739085531874,
|
| 812 |
+
"precision": 0.8885635978572318,
|
| 813 |
+
"recall": 0.8972262406440656,
|
| 814 |
+
"support": 15899.0
|
| 815 |
},
|
| 816 |
+
"eval_accuracy": 0.8602089552238806,
|
| 817 |
+
"eval_loss": 0.9848275184631348,
|
| 818 |
"eval_macro avg": {
|
| 819 |
+
"f1-score": 0.8300699015010937,
|
| 820 |
+
"precision": 0.8292335853628898,
|
| 821 |
+
"recall": 0.8313568358847614,
|
| 822 |
+
"support": 33500.0
|
| 823 |
+
},
|
| 824 |
+
"eval_runtime": 4.9301,
|
| 825 |
+
"eval_samples_per_second": 16.43,
|
| 826 |
+
"eval_steps_per_second": 2.231,
|
| 827 |
"eval_weighted avg": {
|
| 828 |
+
"f1-score": 0.8613257791852104,
|
| 829 |
+
"precision": 0.8628576878135704,
|
| 830 |
+
"recall": 0.8602089552238806,
|
| 831 |
+
"support": 33500.0
|
| 832 |
},
|
| 833 |
"step": 1458
|
| 834 |
},
|
| 835 |
{
|
| 836 |
"epoch": 18.52,
|
| 837 |
+
"grad_norm": 1.7008241415023804,
|
| 838 |
"learning_rate": 1.2592592592592593e-05,
|
| 839 |
+
"loss": 0.0216,
|
| 840 |
"step": 1500
|
| 841 |
},
|
| 842 |
{
|
| 843 |
"epoch": 19.0,
|
| 844 |
"eval_Claim": {
|
| 845 |
+
"f1-score": 0.6404391582799633,
|
| 846 |
+
"precision": 0.6432509699816213,
|
| 847 |
+
"recall": 0.6376518218623481,
|
| 848 |
+
"support": 4940.0
|
| 849 |
},
|
| 850 |
"eval_MajorClaim": {
|
| 851 |
+
"f1-score": 0.8286799195890104,
|
| 852 |
+
"precision": 0.8103975535168195,
|
| 853 |
+
"recall": 0.8478062157221207,
|
| 854 |
+
"support": 2188.0
|
| 855 |
},
|
| 856 |
"eval_O": {
|
| 857 |
+
"f1-score": 0.9006844397645144,
|
| 858 |
+
"precision": 0.9029750479846449,
|
| 859 |
+
"recall": 0.898405423469875,
|
| 860 |
+
"support": 10473.0
|
| 861 |
},
|
| 862 |
"eval_Premise": {
|
| 863 |
+
"f1-score": 0.8906363035888403,
|
| 864 |
+
"precision": 0.8907763936076507,
|
| 865 |
+
"recall": 0.8904962576262658,
|
| 866 |
+
"support": 15899.0
|
| 867 |
},
|
| 868 |
+
"eval_accuracy": 0.8528955223880597,
|
| 869 |
+
"eval_loss": 1.0161080360412598,
|
| 870 |
"eval_macro avg": {
|
| 871 |
+
"f1-score": 0.8151099553055821,
|
| 872 |
+
"precision": 0.8118499912726841,
|
| 873 |
+
"recall": 0.8185899296701524,
|
| 874 |
+
"support": 33500.0
|
| 875 |
+
},
|
| 876 |
+
"eval_runtime": 4.8924,
|
| 877 |
+
"eval_samples_per_second": 16.556,
|
| 878 |
+
"eval_steps_per_second": 2.248,
|
| 879 |
"eval_weighted avg": {
|
| 880 |
+
"f1-score": 0.8528362935634777,
|
| 881 |
+
"precision": 0.8528394387556787,
|
| 882 |
+
"recall": 0.8528955223880597,
|
| 883 |
+
"support": 33500.0
|
| 884 |
},
|
| 885 |
"step": 1539
|
| 886 |
},
|
| 887 |
{
|
| 888 |
"epoch": 20.0,
|
| 889 |
"eval_Claim": {
|
| 890 |
+
"f1-score": 0.650995688770273,
|
| 891 |
+
"precision": 0.6603498542274052,
|
| 892 |
+
"recall": 0.6419028340080971,
|
| 893 |
+
"support": 4940.0
|
| 894 |
},
|
| 895 |
"eval_MajorClaim": {
|
| 896 |
+
"f1-score": 0.8586199145875477,
|
| 897 |
+
"precision": 0.8447589562140646,
|
| 898 |
+
"recall": 0.8729433272394881,
|
| 899 |
+
"support": 2188.0
|
| 900 |
},
|
| 901 |
"eval_O": {
|
| 902 |
+
"f1-score": 0.9104241552839684,
|
| 903 |
+
"precision": 0.913972286374134,
|
| 904 |
+
"recall": 0.9069034660555715,
|
| 905 |
+
"support": 10473.0
|
| 906 |
},
|
| 907 |
"eval_Premise": {
|
| 908 |
+
"f1-score": 0.8906836964688204,
|
| 909 |
+
"precision": 0.8866313493300093,
|
| 910 |
+
"recall": 0.894773256179634,
|
| 911 |
+
"support": 15899.0
|
| 912 |
},
|
| 913 |
+
"eval_accuracy": 0.8598507462686568,
|
| 914 |
+
"eval_loss": 0.9872655272483826,
|
| 915 |
"eval_macro avg": {
|
| 916 |
+
"f1-score": 0.8276808637776524,
|
| 917 |
+
"precision": 0.8264281115364033,
|
| 918 |
+
"recall": 0.8291307208706977,
|
| 919 |
+
"support": 33500.0
|
| 920 |
+
},
|
| 921 |
+
"eval_runtime": 4.9351,
|
| 922 |
+
"eval_samples_per_second": 16.413,
|
| 923 |
+
"eval_steps_per_second": 2.229,
|
| 924 |
"eval_weighted avg": {
|
| 925 |
+
"f1-score": 0.8594158610175964,
|
| 926 |
+
"precision": 0.8590759538589217,
|
| 927 |
+
"recall": 0.8598507462686568,
|
| 928 |
+
"support": 33500.0
|
| 929 |
},
|
| 930 |
"step": 1620
|
| 931 |
},
|
| 932 |
{
|
| 933 |
"epoch": 21.0,
|
| 934 |
"eval_Claim": {
|
| 935 |
+
"f1-score": 0.6439562566534404,
|
| 936 |
+
"precision": 0.6169108103096607,
|
| 937 |
+
"recall": 0.6734817813765183,
|
| 938 |
+
"support": 4940.0
|
| 939 |
},
|
| 940 |
"eval_MajorClaim": {
|
| 941 |
+
"f1-score": 0.8524001794526693,
|
| 942 |
+
"precision": 0.8370044052863436,
|
| 943 |
+
"recall": 0.8683729433272395,
|
| 944 |
+
"support": 2188.0
|
| 945 |
},
|
| 946 |
"eval_O": {
|
| 947 |
+
"f1-score": 0.9078541717641301,
|
| 948 |
+
"precision": 0.9311383256374222,
|
| 949 |
+
"recall": 0.8857061014036093,
|
| 950 |
+
"support": 10473.0
|
| 951 |
},
|
| 952 |
"eval_Premise": {
|
| 953 |
+
"f1-score": 0.8851262038144394,
|
| 954 |
+
"precision": 0.8857952755905512,
|
| 955 |
+
"recall": 0.8844581420215107,
|
| 956 |
+
"support": 15899.0
|
| 957 |
},
|
| 958 |
+
"eval_accuracy": 0.8526865671641791,
|
| 959 |
+
"eval_loss": 1.0280390977859497,
|
| 960 |
"eval_macro avg": {
|
| 961 |
+
"f1-score": 0.8223342029211698,
|
| 962 |
+
"precision": 0.8177122042059943,
|
| 963 |
+
"recall": 0.8280047420322194,
|
| 964 |
+
"support": 33500.0
|
| 965 |
+
},
|
| 966 |
+
"eval_runtime": 4.9316,
|
| 967 |
+
"eval_samples_per_second": 16.425,
|
| 968 |
+
"eval_steps_per_second": 2.231,
|
| 969 |
"eval_weighted avg": {
|
| 970 |
+
"f1-score": 0.8545305598758789,
|
| 971 |
+
"precision": 0.8571336063495862,
|
| 972 |
+
"recall": 0.8526865671641791,
|
| 973 |
+
"support": 33500.0
|
| 974 |
},
|
| 975 |
"step": 1701
|
| 976 |
},
|
| 977 |
{
|
| 978 |
"epoch": 22.0,
|
| 979 |
"eval_Claim": {
|
| 980 |
+
"f1-score": 0.6535234899328859,
|
| 981 |
+
"precision": 0.6779808529155787,
|
| 982 |
+
"recall": 0.6307692307692307,
|
| 983 |
+
"support": 4940.0
|
| 984 |
},
|
| 985 |
"eval_MajorClaim": {
|
| 986 |
+
"f1-score": 0.8511305126483099,
|
| 987 |
+
"precision": 0.8341377797279509,
|
| 988 |
+
"recall": 0.8688299817184644,
|
| 989 |
+
"support": 2188.0
|
| 990 |
},
|
| 991 |
"eval_O": {
|
| 992 |
+
"f1-score": 0.9092228079508632,
|
| 993 |
+
"precision": 0.9212073696589572,
|
| 994 |
+
"recall": 0.8975460708488494,
|
| 995 |
+
"support": 10473.0
|
| 996 |
},
|
| 997 |
"eval_Premise": {
|
| 998 |
+
"f1-score": 0.8968440594059406,
|
| 999 |
+
"precision": 0.882589367273613,
|
| 1000 |
+
"recall": 0.9115667652053588,
|
| 1001 |
+
"support": 15899.0
|
| 1002 |
},
|
| 1003 |
+
"eval_accuracy": 0.8629850746268657,
|
| 1004 |
+
"eval_loss": 1.0620397329330444,
|
| 1005 |
"eval_macro avg": {
|
| 1006 |
+
"f1-score": 0.8276802174844999,
|
| 1007 |
+
"precision": 0.828978842394025,
|
| 1008 |
+
"recall": 0.8271780121354758,
|
| 1009 |
+
"support": 33500.0
|
| 1010 |
+
},
|
| 1011 |
+
"eval_runtime": 4.8953,
|
| 1012 |
+
"eval_samples_per_second": 16.546,
|
| 1013 |
+
"eval_steps_per_second": 2.247,
|
| 1014 |
"eval_weighted avg": {
|
| 1015 |
+
"f1-score": 0.8618475752270865,
|
| 1016 |
+
"precision": 0.8613257315871389,
|
| 1017 |
+
"recall": 0.8629850746268657,
|
| 1018 |
+
"support": 33500.0
|
| 1019 |
},
|
| 1020 |
"step": 1782
|
| 1021 |
},
|
| 1022 |
{
|
| 1023 |
"epoch": 23.0,
|
| 1024 |
"eval_Claim": {
|
| 1025 |
+
"f1-score": 0.6436781609195402,
|
| 1026 |
+
"precision": 0.5858518764530056,
|
| 1027 |
+
"recall": 0.71417004048583,
|
| 1028 |
+
"support": 4940.0
|
| 1029 |
},
|
| 1030 |
"eval_MajorClaim": {
|
| 1031 |
+
"f1-score": 0.8615044247787611,
|
| 1032 |
+
"precision": 0.8349056603773585,
|
| 1033 |
+
"recall": 0.8898537477148081,
|
| 1034 |
+
"support": 2188.0
|
| 1035 |
},
|
| 1036 |
"eval_O": {
|
| 1037 |
+
"f1-score": 0.9092565073582283,
|
| 1038 |
+
"precision": 0.9129765113592607,
|
| 1039 |
+
"recall": 0.905566695311754,
|
| 1040 |
+
"support": 10473.0
|
| 1041 |
},
|
| 1042 |
"eval_Premise": {
|
| 1043 |
+
"f1-score": 0.873210033597547,
|
| 1044 |
+
"precision": 0.9069657135113159,
|
| 1045 |
+
"recall": 0.841876847600478,
|
| 1046 |
+
"support": 15899.0
|
| 1047 |
},
|
| 1048 |
+
"eval_accuracy": 0.846089552238806,
|
| 1049 |
+
"eval_loss": 1.189612627029419,
|
| 1050 |
"eval_macro avg": {
|
| 1051 |
+
"f1-score": 0.8219122816635192,
|
| 1052 |
+
"precision": 0.8101749404252352,
|
| 1053 |
+
"recall": 0.8378668327782175,
|
| 1054 |
+
"support": 33500.0
|
| 1055 |
+
},
|
| 1056 |
+
"eval_runtime": 4.9275,
|
| 1057 |
+
"eval_samples_per_second": 16.438,
|
| 1058 |
+
"eval_steps_per_second": 2.232,
|
| 1059 |
"eval_weighted avg": {
|
| 1060 |
+
"f1-score": 0.8498672096145845,
|
| 1061 |
+
"precision": 0.8567860518556853,
|
| 1062 |
+
"recall": 0.846089552238806,
|
| 1063 |
+
"support": 33500.0
|
| 1064 |
},
|
| 1065 |
"step": 1863
|
| 1066 |
},
|
| 1067 |
{
|
| 1068 |
"epoch": 24.0,
|
| 1069 |
"eval_Claim": {
|
| 1070 |
+
"f1-score": 0.6632010396880935,
|
| 1071 |
+
"precision": 0.6551451708473237,
|
| 1072 |
+
"recall": 0.6714574898785425,
|
| 1073 |
+
"support": 4940.0
|
| 1074 |
},
|
| 1075 |
"eval_MajorClaim": {
|
| 1076 |
+
"f1-score": 0.84557309540151,
|
| 1077 |
+
"precision": 0.8465414567109483,
|
| 1078 |
+
"recall": 0.8446069469835467,
|
| 1079 |
+
"support": 2188.0
|
| 1080 |
},
|
| 1081 |
"eval_O": {
|
| 1082 |
+
"f1-score": 0.911568570600174,
|
| 1083 |
+
"precision": 0.922805987672439,
|
| 1084 |
+
"recall": 0.9006015468347178,
|
| 1085 |
+
"support": 10473.0
|
| 1086 |
},
|
| 1087 |
"eval_Premise": {
|
| 1088 |
+
"f1-score": 0.8970938243768007,
|
| 1089 |
+
"precision": 0.8933449759870268,
|
| 1090 |
+
"recall": 0.9008742688219384,
|
| 1091 |
+
"support": 15899.0
|
| 1092 |
},
|
| 1093 |
+
"eval_accuracy": 0.8632835820895522,
|
| 1094 |
+
"eval_loss": 1.108552098274231,
|
| 1095 |
"eval_macro avg": {
|
| 1096 |
+
"f1-score": 0.8293591325166445,
|
| 1097 |
+
"precision": 0.8294593978044343,
|
| 1098 |
+
"recall": 0.8293850631296864,
|
| 1099 |
+
"support": 33500.0
|
| 1100 |
+
},
|
| 1101 |
+
"eval_runtime": 4.9242,
|
| 1102 |
+
"eval_samples_per_second": 16.449,
|
| 1103 |
+
"eval_steps_per_second": 2.234,
|
| 1104 |
"eval_weighted avg": {
|
| 1105 |
+
"f1-score": 0.8637635648495541,
|
| 1106 |
+
"precision": 0.864372798011359,
|
| 1107 |
+
"recall": 0.8632835820895522,
|
| 1108 |
+
"support": 33500.0
|
| 1109 |
},
|
| 1110 |
"step": 1944
|
| 1111 |
},
|
| 1112 |
{
|
| 1113 |
"epoch": 24.69,
|
| 1114 |
+
"grad_norm": 0.41564273834228516,
|
| 1115 |
"learning_rate": 1.0123456790123458e-05,
|
| 1116 |
+
"loss": 0.0102,
|
| 1117 |
"step": 2000
|
| 1118 |
},
|
| 1119 |
{
|
| 1120 |
"epoch": 25.0,
|
| 1121 |
"eval_Claim": {
|
| 1122 |
+
"f1-score": 0.6543478260869565,
|
| 1123 |
+
"precision": 0.6391891891891892,
|
| 1124 |
+
"recall": 0.6702429149797571,
|
| 1125 |
+
"support": 4940.0
|
| 1126 |
},
|
| 1127 |
"eval_MajorClaim": {
|
| 1128 |
+
"f1-score": 0.8417964342134958,
|
| 1129 |
+
"precision": 0.8314757021845742,
|
| 1130 |
+
"recall": 0.8523765996343693,
|
| 1131 |
+
"support": 2188.0
|
| 1132 |
},
|
| 1133 |
"eval_O": {
|
| 1134 |
+
"f1-score": 0.9077508785630614,
|
| 1135 |
+
"precision": 0.9285072391412881,
|
| 1136 |
+
"recall": 0.8879022247684523,
|
| 1137 |
+
"support": 10473.0
|
| 1138 |
},
|
| 1139 |
"eval_Premise": {
|
| 1140 |
+
"f1-score": 0.8887081130127343,
|
| 1141 |
+
"precision": 0.884198729921554,
|
| 1142 |
+
"recall": 0.8932637272784452,
|
| 1143 |
+
"support": 15899.0
|
| 1144 |
},
|
| 1145 |
+
"eval_accuracy": 0.8560298507462687,
|
| 1146 |
+
"eval_loss": 1.0723340511322021,
|
| 1147 |
"eval_macro avg": {
|
| 1148 |
+
"f1-score": 0.8231508129690621,
|
| 1149 |
+
"precision": 0.8208427151091513,
|
| 1150 |
+
"recall": 0.8259463666652559,
|
| 1151 |
+
"support": 33500.0
|
| 1152 |
+
},
|
| 1153 |
+
"eval_runtime": 4.8953,
|
| 1154 |
+
"eval_samples_per_second": 16.546,
|
| 1155 |
+
"eval_steps_per_second": 2.247,
|
| 1156 |
"eval_weighted avg": {
|
| 1157 |
+
"f1-score": 0.8570380328032566,
|
| 1158 |
+
"precision": 0.8584774732395206,
|
| 1159 |
+
"recall": 0.8560298507462687,
|
| 1160 |
+
"support": 33500.0
|
| 1161 |
},
|
| 1162 |
"step": 2025
|
| 1163 |
},
|
| 1164 |
{
|
| 1165 |
"epoch": 26.0,
|
| 1166 |
"eval_Claim": {
|
| 1167 |
+
"f1-score": 0.6502824298880191,
|
| 1168 |
+
"precision": 0.636963696369637,
|
| 1169 |
+
"recall": 0.66417004048583,
|
| 1170 |
+
"support": 4940.0
|
| 1171 |
},
|
| 1172 |
"eval_MajorClaim": {
|
| 1173 |
+
"f1-score": 0.8458110516934045,
|
| 1174 |
+
"precision": 0.8252173913043478,
|
| 1175 |
+
"recall": 0.8674588665447898,
|
| 1176 |
+
"support": 2188.0
|
| 1177 |
},
|
| 1178 |
"eval_O": {
|
| 1179 |
+
"f1-score": 0.912881895844394,
|
| 1180 |
+
"precision": 0.9229943392543432,
|
| 1181 |
+
"recall": 0.9029886374486775,
|
| 1182 |
+
"support": 10473.0
|
| 1183 |
},
|
| 1184 |
"eval_Premise": {
|
| 1185 |
+
"f1-score": 0.8878304207936407,
|
| 1186 |
+
"precision": 0.8905271151047269,
|
| 1187 |
+
"recall": 0.8851500094345557,
|
| 1188 |
+
"support": 15899.0
|
| 1189 |
},
|
| 1190 |
+
"eval_accuracy": 0.8569850746268657,
|
| 1191 |
+
"eval_loss": 1.126774787902832,
|
| 1192 |
"eval_macro avg": {
|
| 1193 |
+
"f1-score": 0.8242014495548646,
|
| 1194 |
+
"precision": 0.8189256355082637,
|
| 1195 |
+
"recall": 0.8299418884784633,
|
| 1196 |
+
"support": 33500.0
|
| 1197 |
+
},
|
| 1198 |
+
"eval_runtime": 4.9541,
|
| 1199 |
+
"eval_samples_per_second": 16.35,
|
| 1200 |
+
"eval_steps_per_second": 2.22,
|
| 1201 |
"eval_weighted avg": {
|
| 1202 |
+
"f1-score": 0.8578882907501019,
|
| 1203 |
+
"precision": 0.8590204964268868,
|
| 1204 |
+
"recall": 0.8569850746268657,
|
| 1205 |
+
"support": 33500.0
|
| 1206 |
},
|
| 1207 |
"step": 2106
|
| 1208 |
},
|
| 1209 |
{
|
| 1210 |
"epoch": 27.0,
|
| 1211 |
"eval_Claim": {
|
| 1212 |
+
"f1-score": 0.6497180730042537,
|
| 1213 |
+
"precision": 0.6353259818146644,
|
| 1214 |
+
"recall": 0.6647773279352227,
|
| 1215 |
+
"support": 4940.0
|
| 1216 |
},
|
| 1217 |
"eval_MajorClaim": {
|
| 1218 |
+
"f1-score": 0.8471862491170237,
|
| 1219 |
+
"precision": 0.8737251092763477,
|
| 1220 |
+
"recall": 0.8222120658135283,
|
| 1221 |
+
"support": 2188.0
|
| 1222 |
},
|
| 1223 |
"eval_O": {
|
| 1224 |
+
"f1-score": 0.9101418812401472,
|
| 1225 |
+
"precision": 0.9107074569789675,
|
| 1226 |
+
"recall": 0.9095770075432064,
|
| 1227 |
+
"support": 10473.0
|
| 1228 |
},
|
| 1229 |
"eval_Premise": {
|
| 1230 |
+
"f1-score": 0.889659739522563,
|
| 1231 |
+
"precision": 0.8921072603086264,
|
| 1232 |
+
"recall": 0.8872256116736902,
|
| 1233 |
+
"support": 15899.0
|
| 1234 |
},
|
| 1235 |
+
"eval_accuracy": 0.8571641791044776,
|
| 1236 |
+
"eval_loss": 1.101758360862732,
|
| 1237 |
"eval_macro avg": {
|
| 1238 |
+
"f1-score": 0.824176485720997,
|
| 1239 |
+
"precision": 0.8279664520946515,
|
| 1240 |
+
"recall": 0.8209480032414119,
|
| 1241 |
+
"support": 33500.0
|
| 1242 |
+
},
|
| 1243 |
+
"eval_runtime": 4.9026,
|
| 1244 |
+
"eval_samples_per_second": 16.522,
|
| 1245 |
+
"eval_steps_per_second": 2.244,
|
| 1246 |
"eval_weighted avg": {
|
| 1247 |
+
"f1-score": 0.8579064750628762,
|
| 1248 |
+
"precision": 0.8588559229208557,
|
| 1249 |
+
"recall": 0.8571641791044776,
|
| 1250 |
+
"support": 33500.0
|
| 1251 |
},
|
| 1252 |
"step": 2187
|
| 1253 |
},
|
| 1254 |
{
|
| 1255 |
"epoch": 28.0,
|
| 1256 |
"eval_Claim": {
|
| 1257 |
+
"f1-score": 0.6493561775034585,
|
| 1258 |
+
"precision": 0.6845411711913844,
|
| 1259 |
+
"recall": 0.6176113360323887,
|
| 1260 |
+
"support": 4940.0
|
| 1261 |
},
|
| 1262 |
"eval_MajorClaim": {
|
| 1263 |
+
"f1-score": 0.846973475402403,
|
| 1264 |
+
"precision": 0.8403058929374719,
|
| 1265 |
+
"recall": 0.8537477148080439,
|
| 1266 |
+
"support": 2188.0
|
| 1267 |
},
|
| 1268 |
"eval_O": {
|
| 1269 |
+
"f1-score": 0.9125746196803388,
|
| 1270 |
+
"precision": 0.9202835226721041,
|
| 1271 |
+
"recall": 0.9049937935644037,
|
| 1272 |
+
"support": 10473.0
|
| 1273 |
},
|
| 1274 |
"eval_Premise": {
|
| 1275 |
+
"f1-score": 0.8957433682911783,
|
| 1276 |
+
"precision": 0.8788814236426367,
|
| 1277 |
+
"recall": 0.9132649852191962,
|
| 1278 |
+
"support": 15899.0
|
| 1279 |
},
|
| 1280 |
+
"eval_accuracy": 0.8631940298507462,
|
| 1281 |
+
"eval_loss": 1.0291390419006348,
|
| 1282 |
"eval_macro avg": {
|
| 1283 |
+
"f1-score": 0.8261619102193447,
|
| 1284 |
+
"precision": 0.8310030026108993,
|
| 1285 |
+
"recall": 0.8224044574060082,
|
| 1286 |
+
"support": 33500.0
|
| 1287 |
+
},
|
| 1288 |
+
"eval_runtime": 4.895,
|
| 1289 |
+
"eval_samples_per_second": 16.548,
|
| 1290 |
+
"eval_steps_per_second": 2.247,
|
| 1291 |
"eval_weighted avg": {
|
| 1292 |
+
"f1-score": 0.8614870234454082,
|
| 1293 |
+
"precision": 0.8606473960260256,
|
| 1294 |
+
"recall": 0.8631940298507462,
|
| 1295 |
+
"support": 33500.0
|
| 1296 |
},
|
| 1297 |
"step": 2268
|
| 1298 |
},
|
| 1299 |
{
|
| 1300 |
"epoch": 29.0,
|
| 1301 |
"eval_Claim": {
|
| 1302 |
+
"f1-score": 0.6583255135022417,
|
| 1303 |
+
"precision": 0.6787787572565039,
|
| 1304 |
+
"recall": 0.6390688259109312,
|
| 1305 |
+
"support": 4940.0
|
| 1306 |
},
|
| 1307 |
"eval_MajorClaim": {
|
| 1308 |
+
"f1-score": 0.8515981735159819,
|
| 1309 |
+
"precision": 0.8508211678832117,
|
| 1310 |
+
"recall": 0.8523765996343693,
|
| 1311 |
+
"support": 2188.0
|
| 1312 |
},
|
| 1313 |
"eval_O": {
|
| 1314 |
+
"f1-score": 0.9123429557878584,
|
| 1315 |
+
"precision": 0.916385704652731,
|
| 1316 |
+
"recall": 0.9083357204239473,
|
| 1317 |
+
"support": 10473.0
|
| 1318 |
},
|
| 1319 |
"eval_Premise": {
|
| 1320 |
+
"f1-score": 0.8947940947940948,
|
| 1321 |
+
"precision": 0.8844310641435242,
|
| 1322 |
+
"recall": 0.9054028555255047,
|
| 1323 |
+
"support": 15899.0
|
| 1324 |
},
|
| 1325 |
+
"eval_accuracy": 0.8635820895522388,
|
| 1326 |
+
"eval_loss": 1.1136515140533447,
|
| 1327 |
"eval_macro avg": {
|
| 1328 |
+
"f1-score": 0.8292651844000442,
|
| 1329 |
+
"precision": 0.8326041734839926,
|
| 1330 |
+
"recall": 0.8262960003736881,
|
| 1331 |
+
"support": 33500.0
|
| 1332 |
+
},
|
| 1333 |
+
"eval_runtime": 4.9179,
|
| 1334 |
+
"eval_samples_per_second": 16.47,
|
| 1335 |
+
"eval_steps_per_second": 2.237,
|
| 1336 |
"eval_weighted avg": {
|
| 1337 |
+
"f1-score": 0.8625887740134804,
|
| 1338 |
+
"precision": 0.8618997238752699,
|
| 1339 |
+
"recall": 0.8635820895522388,
|
| 1340 |
+
"support": 33500.0
|
| 1341 |
},
|
| 1342 |
"step": 2349
|
| 1343 |
},
|
| 1344 |
{
|
| 1345 |
"epoch": 30.0,
|
| 1346 |
"eval_Claim": {
|
| 1347 |
+
"f1-score": 0.6518860985604706,
|
| 1348 |
+
"precision": 0.677736508630107,
|
| 1349 |
+
"recall": 0.6279352226720648,
|
| 1350 |
+
"support": 4940.0
|
| 1351 |
},
|
| 1352 |
"eval_MajorClaim": {
|
| 1353 |
+
"f1-score": 0.8529746979712788,
|
| 1354 |
+
"precision": 0.8508412914961346,
|
| 1355 |
+
"recall": 0.8551188299817185,
|
| 1356 |
+
"support": 2188.0
|
| 1357 |
},
|
| 1358 |
"eval_O": {
|
| 1359 |
+
"f1-score": 0.911866692352148,
|
| 1360 |
+
"precision": 0.919930035953746,
|
| 1361 |
+
"recall": 0.9039434736942614,
|
| 1362 |
+
"support": 10473.0
|
| 1363 |
},
|
| 1364 |
"eval_Premise": {
|
| 1365 |
+
"f1-score": 0.8956451812445873,
|
| 1366 |
+
"precision": 0.8810929227773383,
|
| 1367 |
+
"recall": 0.9106862066796654,
|
| 1368 |
+
"support": 15899.0
|
| 1369 |
},
|
| 1370 |
+
"eval_accuracy": 0.8632537313432835,
|
| 1371 |
+
"eval_loss": 1.123184084892273,
|
| 1372 |
"eval_macro avg": {
|
| 1373 |
+
"f1-score": 0.8280931675321211,
|
| 1374 |
+
"precision": 0.8324001897143315,
|
| 1375 |
+
"recall": 0.8244209332569276,
|
| 1376 |
+
"support": 33500.0
|
| 1377 |
+
},
|
| 1378 |
+
"eval_runtime": 4.9146,
|
| 1379 |
+
"eval_samples_per_second": 16.482,
|
| 1380 |
+
"eval_steps_per_second": 2.238,
|
| 1381 |
"eval_weighted avg": {
|
| 1382 |
+
"f1-score": 0.8619841364675112,
|
| 1383 |
+
"precision": 0.8612711266927389,
|
| 1384 |
+
"recall": 0.8632537313432835,
|
| 1385 |
+
"support": 33500.0
|
| 1386 |
},
|
| 1387 |
"step": 2430
|
| 1388 |
},
|
| 1389 |
{
|
| 1390 |
"epoch": 30.86,
|
| 1391 |
+
"grad_norm": 0.36268848180770874,
|
| 1392 |
"learning_rate": 7.654320987654322e-06,
|
| 1393 |
+
"loss": 0.0075,
|
| 1394 |
"step": 2500
|
| 1395 |
},
|
| 1396 |
{
|
| 1397 |
"epoch": 31.0,
|
| 1398 |
"eval_Claim": {
|
| 1399 |
+
"f1-score": 0.6331647476595287,
|
| 1400 |
+
"precision": 0.6758557316793017,
|
| 1401 |
+
"recall": 0.5955465587044534,
|
| 1402 |
+
"support": 4940.0
|
| 1403 |
},
|
| 1404 |
"eval_MajorClaim": {
|
| 1405 |
+
"f1-score": 0.8522257916475449,
|
| 1406 |
+
"precision": 0.8557603686635945,
|
| 1407 |
+
"recall": 0.8487202925045704,
|
| 1408 |
+
"support": 2188.0
|
| 1409 |
},
|
| 1410 |
"eval_O": {
|
| 1411 |
+
"f1-score": 0.9158597986057321,
|
| 1412 |
+
"precision": 0.928901109692625,
|
| 1413 |
+
"recall": 0.9031796046977943,
|
| 1414 |
+
"support": 10473.0
|
| 1415 |
},
|
| 1416 |
"eval_Premise": {
|
| 1417 |
+
"f1-score": 0.8934022573639618,
|
| 1418 |
+
"precision": 0.8695962843872812,
|
| 1419 |
+
"recall": 0.9185483363733569,
|
| 1420 |
+
"support": 15899.0
|
| 1421 |
},
|
| 1422 |
+
"eval_accuracy": 0.8615522388059701,
|
| 1423 |
+
"eval_loss": 1.120849370956421,
|
| 1424 |
"eval_macro avg": {
|
| 1425 |
+
"f1-score": 0.8236631488191918,
|
| 1426 |
+
"precision": 0.8325283736057006,
|
| 1427 |
+
"recall": 0.8164986980700437,
|
| 1428 |
+
"support": 33500.0
|
| 1429 |
+
},
|
| 1430 |
+
"eval_runtime": 4.9277,
|
| 1431 |
+
"eval_samples_per_second": 16.438,
|
| 1432 |
+
"eval_steps_per_second": 2.232,
|
| 1433 |
"eval_weighted avg": {
|
| 1434 |
+
"f1-score": 0.8593583894385183,
|
| 1435 |
+
"precision": 0.858663392490028,
|
| 1436 |
+
"recall": 0.8615522388059701,
|
| 1437 |
+
"support": 33500.0
|
| 1438 |
},
|
| 1439 |
"step": 2511
|
| 1440 |
},
|
| 1441 |
{
|
| 1442 |
"epoch": 32.0,
|
| 1443 |
"eval_Claim": {
|
| 1444 |
+
"f1-score": 0.6540556600970584,
|
| 1445 |
+
"precision": 0.6402947450067868,
|
| 1446 |
+
"recall": 0.6684210526315789,
|
| 1447 |
+
"support": 4940.0
|
| 1448 |
},
|
| 1449 |
"eval_MajorClaim": {
|
| 1450 |
+
"f1-score": 0.8491992882562277,
|
| 1451 |
+
"precision": 0.8271230502599654,
|
| 1452 |
+
"recall": 0.8724862888482633,
|
| 1453 |
+
"support": 2188.0
|
| 1454 |
},
|
| 1455 |
"eval_O": {
|
| 1456 |
+
"f1-score": 0.9160624787114983,
|
| 1457 |
+
"precision": 0.934014685453463,
|
| 1458 |
+
"recall": 0.8987873579681085,
|
| 1459 |
+
"support": 10473.0
|
| 1460 |
},
|
| 1461 |
"eval_Premise": {
|
| 1462 |
+
"f1-score": 0.8915745856353591,
|
| 1463 |
+
"precision": 0.8899542520523908,
|
| 1464 |
+
"recall": 0.8932008302408957,
|
| 1465 |
+
"support": 15899.0
|
| 1466 |
},
|
| 1467 |
+
"eval_accuracy": 0.8604477611940299,
|
| 1468 |
+
"eval_loss": 1.1111246347427368,
|
| 1469 |
"eval_macro avg": {
|
| 1470 |
+
"f1-score": 0.8277230031750359,
|
| 1471 |
+
"precision": 0.8228466831931516,
|
| 1472 |
+
"recall": 0.8332238824222116,
|
| 1473 |
+
"support": 33500.0
|
| 1474 |
+
},
|
| 1475 |
+
"eval_runtime": 4.919,
|
| 1476 |
+
"eval_samples_per_second": 16.467,
|
| 1477 |
+
"eval_steps_per_second": 2.236,
|
| 1478 |
"eval_weighted avg": {
|
| 1479 |
+
"f1-score": 0.8614373038849609,
|
| 1480 |
+
"precision": 0.8628095441324599,
|
| 1481 |
+
"recall": 0.8604477611940299,
|
| 1482 |
+
"support": 33500.0
|
| 1483 |
},
|
| 1484 |
"step": 2592
|
| 1485 |
},
|
| 1486 |
{
|
| 1487 |
"epoch": 33.0,
|
| 1488 |
"eval_Claim": {
|
| 1489 |
+
"f1-score": 0.6564330438295295,
|
| 1490 |
+
"precision": 0.6549778315195486,
|
| 1491 |
+
"recall": 0.6578947368421053,
|
| 1492 |
+
"support": 4940.0
|
| 1493 |
},
|
| 1494 |
"eval_MajorClaim": {
|
| 1495 |
+
"f1-score": 0.8466696468484577,
|
| 1496 |
+
"precision": 0.8285214348206474,
|
| 1497 |
+
"recall": 0.8656307129798904,
|
| 1498 |
+
"support": 2188.0
|
| 1499 |
},
|
| 1500 |
"eval_O": {
|
| 1501 |
+
"f1-score": 0.9148585819449826,
|
| 1502 |
+
"precision": 0.9282555282555283,
|
| 1503 |
+
"recall": 0.9018428339539769,
|
| 1504 |
+
"support": 10473.0
|
| 1505 |
},
|
| 1506 |
"eval_Premise": {
|
| 1507 |
+
"f1-score": 0.8948586439829872,
|
| 1508 |
+
"precision": 0.8899048329912297,
|
| 1509 |
+
"recall": 0.899867916221146,
|
| 1510 |
+
"support": 15899.0
|
| 1511 |
},
|
| 1512 |
+
"eval_accuracy": 0.8625671641791045,
|
| 1513 |
+
"eval_loss": 1.145164132118225,
|
| 1514 |
"eval_macro avg": {
|
| 1515 |
+
"f1-score": 0.8282049791514892,
|
| 1516 |
+
"precision": 0.8254149068967386,
|
| 1517 |
+
"recall": 0.8313090499992797,
|
| 1518 |
+
"support": 33500.0
|
| 1519 |
+
},
|
| 1520 |
+
"eval_runtime": 5.0162,
|
| 1521 |
+
"eval_samples_per_second": 16.148,
|
| 1522 |
+
"eval_steps_per_second": 2.193,
|
| 1523 |
"eval_weighted avg": {
|
| 1524 |
+
"f1-score": 0.862804893528884,
|
| 1525 |
+
"precision": 0.8632421634102047,
|
| 1526 |
+
"recall": 0.8625671641791045,
|
| 1527 |
+
"support": 33500.0
|
| 1528 |
},
|
| 1529 |
"step": 2673
|
| 1530 |
},
|
| 1531 |
{
|
| 1532 |
"epoch": 34.0,
|
| 1533 |
"eval_Claim": {
|
| 1534 |
+
"f1-score": 0.6356152512998267,
|
| 1535 |
+
"precision": 0.6835973904939422,
|
| 1536 |
+
"recall": 0.5939271255060729,
|
| 1537 |
+
"support": 4940.0
|
| 1538 |
},
|
| 1539 |
"eval_MajorClaim": {
|
| 1540 |
+
"f1-score": 0.8559207564160288,
|
| 1541 |
+
"precision": 0.8433895297249334,
|
| 1542 |
+
"recall": 0.8688299817184644,
|
| 1543 |
+
"support": 2188.0
|
| 1544 |
},
|
| 1545 |
"eval_O": {
|
| 1546 |
+
"f1-score": 0.9127349443805141,
|
| 1547 |
+
"precision": 0.9166907444861794,
|
| 1548 |
+
"recall": 0.9088131385467393,
|
| 1549 |
+
"support": 10473.0
|
| 1550 |
},
|
| 1551 |
"eval_Premise": {
|
| 1552 |
+
"f1-score": 0.8947336002463814,
|
| 1553 |
+
"precision": 0.876591635990586,
|
| 1554 |
+
"recall": 0.9136423674444933,
|
| 1555 |
+
"support": 15899.0
|
| 1556 |
},
|
| 1557 |
+
"eval_accuracy": 0.8620597014925373,
|
| 1558 |
+
"eval_loss": 1.1328134536743164,
|
| 1559 |
"eval_macro avg": {
|
| 1560 |
+
"f1-score": 0.8247511380856878,
|
| 1561 |
+
"precision": 0.8300673251739102,
|
| 1562 |
+
"recall": 0.8213031533039424,
|
| 1563 |
+
"support": 33500.0
|
| 1564 |
+
},
|
| 1565 |
+
"eval_runtime": 4.886,
|
| 1566 |
+
"eval_samples_per_second": 16.578,
|
| 1567 |
+
"eval_steps_per_second": 2.251,
|
| 1568 |
"eval_weighted avg": {
|
| 1569 |
+
"f1-score": 0.8596160160977241,
|
| 1570 |
+
"precision": 0.858499701125263,
|
| 1571 |
+
"recall": 0.8620597014925373,
|
| 1572 |
+
"support": 33500.0
|
| 1573 |
},
|
| 1574 |
"step": 2754
|
| 1575 |
},
|
| 1576 |
{
|
| 1577 |
"epoch": 35.0,
|
| 1578 |
"eval_Claim": {
|
| 1579 |
+
"f1-score": 0.6474583247581807,
|
| 1580 |
+
"precision": 0.6584344914190038,
|
| 1581 |
+
"recall": 0.6368421052631579,
|
| 1582 |
+
"support": 4940.0
|
| 1583 |
},
|
| 1584 |
"eval_MajorClaim": {
|
| 1585 |
+
"f1-score": 0.8435185185185186,
|
| 1586 |
+
"precision": 0.8545966228893058,
|
| 1587 |
+
"recall": 0.8327239488117002,
|
| 1588 |
+
"support": 2188.0
|
| 1589 |
},
|
| 1590 |
"eval_O": {
|
| 1591 |
+
"f1-score": 0.9133458015633241,
|
| 1592 |
+
"precision": 0.9174373795761079,
|
| 1593 |
+
"recall": 0.9092905566695312,
|
| 1594 |
+
"support": 10473.0
|
| 1595 |
},
|
| 1596 |
"eval_Premise": {
|
| 1597 |
+
"f1-score": 0.8930206484163319,
|
| 1598 |
+
"precision": 0.8844540407156076,
|
| 1599 |
+
"recall": 0.9017548273476319,
|
| 1600 |
+
"support": 15899.0
|
| 1601 |
},
|
| 1602 |
+
"eval_accuracy": 0.8605373134328358,
|
| 1603 |
+
"eval_loss": 1.16542649269104,
|
| 1604 |
"eval_macro avg": {
|
| 1605 |
+
"f1-score": 0.8243358233140887,
|
| 1606 |
+
"precision": 0.8287306336500063,
|
| 1607 |
+
"recall": 0.8201528595230052,
|
| 1608 |
+
"support": 33500.0
|
| 1609 |
+
},
|
| 1610 |
+
"eval_runtime": 4.925,
|
| 1611 |
+
"eval_samples_per_second": 16.447,
|
| 1612 |
+
"eval_steps_per_second": 2.233,
|
| 1613 |
"eval_weighted avg": {
|
| 1614 |
+
"f1-score": 0.8599304033363548,
|
| 1615 |
+
"precision": 0.8594859781531254,
|
| 1616 |
+
"recall": 0.8605373134328358,
|
| 1617 |
+
"support": 33500.0
|
| 1618 |
},
|
| 1619 |
"step": 2835
|
| 1620 |
}
|
|
|
|
| 1624 |
"num_input_tokens_seen": 0,
|
| 1625 |
"num_train_epochs": 50,
|
| 1626 |
"save_steps": 500,
|
| 1627 |
+
"total_flos": 5016976435359000.0,
|
| 1628 |
"train_batch_size": 4,
|
| 1629 |
"trial_name": null,
|
| 1630 |
"trial_params": null
|
checkpoint-2835/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:da575726aa6fb9f10d3d3191c16916e8d9dc133cfc573c1d27486b346adcb4eb
|
| 3 |
size 4856
|