Commit
•
1332919
1
Parent(s):
f641b06
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 sha256:5115f11b8b3ceca782ec689be5d4a033b902af97b38bef09f70c926a063f8406
|
| 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:a4575df51c55ad9e3975878eed62ce902fa7459d761203b2f04a275e45707a95
|
| 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 sha256:70e0aa4f6d0976f4b435c257c839edfd90b90405dbf1487be02ca630b8b02943
|
| 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":
|
| 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":
|
| 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":
|
| 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":
|
| 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":
|
| 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":
|
| 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": 4.
|
| 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": 0.38183790485045715,
|
| 15 |
+
"precision": 0.6497890295358649,
|
| 16 |
+
"recall": 0.27035330261136714,
|
| 17 |
+
"support": 4557.0
|
| 18 |
},
|
| 19 |
"eval_MajorClaim": {
|
| 20 |
+
"f1-score": 0.6266258607498087,
|
| 21 |
+
"precision": 0.5535653937140926,
|
| 22 |
+
"recall": 0.7219039224327898,
|
| 23 |
+
"support": 2269.0
|
| 24 |
},
|
| 25 |
"eval_O": {
|
| 26 |
+
"f1-score": 0.8545803971812939,
|
| 27 |
+
"precision": 0.8443037974683544,
|
| 28 |
+
"recall": 0.8651102464332037,
|
| 29 |
+
"support": 8481.0
|
| 30 |
},
|
| 31 |
"eval_Premise": {
|
| 32 |
+
"f1-score": 0.878949075575738,
|
| 33 |
+
"precision": 0.8314310260186549,
|
| 34 |
+
"recall": 0.9322278794550709,
|
| 35 |
+
"support": 14534.0
|
| 36 |
},
|
| 37 |
+
"eval_accuracy": 0.7960859220535504,
|
| 38 |
+
"eval_loss": 0.5359914898872375,
|
| 39 |
"eval_macro avg": {
|
| 40 |
+
"f1-score": 0.6854983095893245,
|
| 41 |
+
"precision": 0.7197723116842417,
|
| 42 |
+
"recall": 0.697398837733108,
|
| 43 |
+
"support": 29841.0
|
| 44 |
+
},
|
| 45 |
+
"eval_runtime": 4.8191,
|
| 46 |
+
"eval_samples_per_second": 16.601,
|
| 47 |
+
"eval_steps_per_second": 2.075,
|
| 48 |
"eval_weighted avg": {
|
| 49 |
+
"f1-score": 0.7769240850962494,
|
| 50 |
+
"precision": 0.7862232339538372,
|
| 51 |
+
"recall": 0.7960859220535504,
|
| 52 |
+
"support": 29841.0
|
| 53 |
},
|
| 54 |
"step": 81
|
| 55 |
},
|
| 56 |
{
|
| 57 |
"epoch": 2.0,
|
| 58 |
"eval_Claim": {
|
| 59 |
+
"f1-score": 0.6161300742974051,
|
| 60 |
+
"precision": 0.6048625792811839,
|
| 61 |
+
"recall": 0.6278253236778583,
|
| 62 |
+
"support": 4557.0
|
| 63 |
},
|
| 64 |
"eval_MajorClaim": {
|
| 65 |
+
"f1-score": 0.7920215150156881,
|
| 66 |
+
"precision": 0.8057455540355677,
|
| 67 |
+
"recall": 0.7787571617452622,
|
| 68 |
+
"support": 2269.0
|
| 69 |
},
|
| 70 |
"eval_O": {
|
| 71 |
+
"f1-score": 0.8922796352583586,
|
| 72 |
+
"precision": 0.9209436566695947,
|
| 73 |
+
"recall": 0.865346067680698,
|
| 74 |
+
"support": 8481.0
|
| 75 |
},
|
| 76 |
"eval_Premise": {
|
| 77 |
+
"f1-score": 0.8914289590611538,
|
| 78 |
+
"precision": 0.8790554552143957,
|
| 79 |
+
"recall": 0.9041557726709784,
|
| 80 |
+
"support": 14534.0
|
| 81 |
},
|
| 82 |
+
"eval_accuracy": 0.8413927147213566,
|
| 83 |
+
"eval_loss": 0.443877637386322,
|
| 84 |
"eval_macro avg": {
|
| 85 |
+
"f1-score": 0.7979650459081514,
|
| 86 |
+
"precision": 0.8026518113001855,
|
| 87 |
+
"recall": 0.7940210814436992,
|
| 88 |
+
"support": 29841.0
|
| 89 |
+
},
|
| 90 |
+
"eval_runtime": 4.8087,
|
| 91 |
+
"eval_samples_per_second": 16.637,
|
| 92 |
+
"eval_steps_per_second": 2.08,
|
| 93 |
"eval_weighted avg": {
|
| 94 |
+
"f1-score": 0.842071433389123,
|
| 95 |
+
"precision": 0.8435143116581857,
|
| 96 |
+
"recall": 0.8413927147213566,
|
| 97 |
+
"support": 29841.0
|
| 98 |
},
|
| 99 |
"step": 162
|
| 100 |
},
|
| 101 |
{
|
| 102 |
"epoch": 3.0,
|
| 103 |
"eval_Claim": {
|
| 104 |
+
"f1-score": 0.6042799305957202,
|
| 105 |
+
"precision": 0.6389432485322897,
|
| 106 |
+
"recall": 0.5731841123546193,
|
| 107 |
+
"support": 4557.0
|
| 108 |
},
|
| 109 |
"eval_MajorClaim": {
|
| 110 |
+
"f1-score": 0.8349557522123894,
|
| 111 |
+
"precision": 0.8382940915148823,
|
| 112 |
+
"recall": 0.8316438959894227,
|
| 113 |
+
"support": 2269.0
|
| 114 |
},
|
| 115 |
"eval_O": {
|
| 116 |
+
"f1-score": 0.8941106484235574,
|
| 117 |
+
"precision": 0.9022691799735862,
|
| 118 |
+
"recall": 0.8860983374602052,
|
| 119 |
+
"support": 8481.0
|
| 120 |
},
|
| 121 |
"eval_Premise": {
|
| 122 |
+
"f1-score": 0.8917763490086511,
|
| 123 |
+
"precision": 0.8729980887102089,
|
| 124 |
+
"recall": 0.9113802119168846,
|
| 125 |
+
"support": 14534.0
|
| 126 |
},
|
| 127 |
+
"eval_accuracy": 0.8464863778023525,
|
| 128 |
+
"eval_loss": 0.4555923044681549,
|
| 129 |
"eval_macro avg": {
|
| 130 |
+
"f1-score": 0.8062806700600795,
|
| 131 |
+
"precision": 0.8131261521827418,
|
| 132 |
+
"recall": 0.8005766394302829,
|
| 133 |
+
"support": 29841.0
|
| 134 |
+
},
|
| 135 |
+
"eval_runtime": 4.7811,
|
| 136 |
+
"eval_samples_per_second": 16.733,
|
| 137 |
+
"eval_steps_per_second": 2.092,
|
| 138 |
"eval_weighted avg": {
|
| 139 |
+
"f1-score": 0.8442159482345275,
|
| 140 |
+
"precision": 0.8429359878649869,
|
| 141 |
+
"recall": 0.8464863778023525,
|
| 142 |
+
"support": 29841.0
|
| 143 |
},
|
| 144 |
"step": 243
|
| 145 |
},
|
| 146 |
{
|
| 147 |
"epoch": 4.0,
|
| 148 |
"eval_Claim": {
|
| 149 |
+
"f1-score": 0.6278026905829596,
|
| 150 |
+
"precision": 0.5981717011128775,
|
| 151 |
+
"recall": 0.6605222734254992,
|
| 152 |
+
"support": 4557.0
|
| 153 |
},
|
| 154 |
"eval_MajorClaim": {
|
| 155 |
+
"f1-score": 0.8182207014542344,
|
| 156 |
+
"precision": 0.7947652679684254,
|
| 157 |
+
"recall": 0.8431026884089907,
|
| 158 |
+
"support": 2269.0
|
| 159 |
},
|
| 160 |
"eval_O": {
|
| 161 |
+
"f1-score": 0.9069328626209752,
|
| 162 |
+
"precision": 0.9373427277302466,
|
| 163 |
+
"recall": 0.8784341469166372,
|
| 164 |
+
"support": 8481.0
|
| 165 |
},
|
| 166 |
"eval_Premise": {
|
| 167 |
+
"f1-score": 0.888919552918449,
|
| 168 |
+
"precision": 0.8913795489137954,
|
| 169 |
+
"recall": 0.8864730975643319,
|
| 170 |
+
"support": 14534.0
|
| 171 |
},
|
| 172 |
+
"eval_accuracy": 0.8463858449783854,
|
| 173 |
+
"eval_loss": 0.4377317428588867,
|
| 174 |
"eval_macro avg": {
|
| 175 |
+
"f1-score": 0.8104689518941546,
|
| 176 |
+
"precision": 0.8054148114313363,
|
| 177 |
+
"recall": 0.8171330515788647,
|
| 178 |
+
"support": 29841.0
|
| 179 |
+
},
|
| 180 |
+
"eval_runtime": 4.8109,
|
| 181 |
+
"eval_samples_per_second": 16.629,
|
| 182 |
+
"eval_steps_per_second": 2.079,
|
| 183 |
"eval_weighted avg": {
|
| 184 |
+
"f1-score": 0.8487883791626096,
|
| 185 |
+
"precision": 0.8523207959781866,
|
| 186 |
+
"recall": 0.8463858449783854,
|
| 187 |
+
"support": 29841.0
|
| 188 |
},
|
| 189 |
"step": 324
|
| 190 |
},
|
| 191 |
{
|
| 192 |
"epoch": 5.0,
|
| 193 |
"eval_Claim": {
|
| 194 |
+
"f1-score": 0.6247990569070839,
|
| 195 |
+
"precision": 0.6105990783410138,
|
| 196 |
+
"recall": 0.6396752249286811,
|
| 197 |
+
"support": 4557.0
|
| 198 |
},
|
| 199 |
"eval_MajorClaim": {
|
| 200 |
+
"f1-score": 0.7998289136013687,
|
| 201 |
+
"precision": 0.7769007062733694,
|
| 202 |
+
"recall": 0.8241516086381666,
|
| 203 |
+
"support": 2269.0
|
| 204 |
},
|
| 205 |
"eval_O": {
|
| 206 |
+
"f1-score": 0.9028039585296891,
|
| 207 |
+
"precision": 0.9020600353148911,
|
| 208 |
+
"recall": 0.9035491097747907,
|
| 209 |
+
"support": 8481.0
|
| 210 |
},
|
| 211 |
"eval_Premise": {
|
| 212 |
+
"f1-score": 0.8885327014878567,
|
| 213 |
+
"precision": 0.9001058948111542,
|
| 214 |
+
"recall": 0.8772533370028898,
|
| 215 |
+
"support": 14534.0
|
| 216 |
},
|
| 217 |
+
"eval_accuracy": 0.8444086994403672,
|
| 218 |
+
"eval_loss": 0.5236712694168091,
|
| 219 |
"eval_macro avg": {
|
| 220 |
+
"f1-score": 0.8039911576314996,
|
| 221 |
+
"precision": 0.7974164286851071,
|
| 222 |
+
"recall": 0.8111573200861321,
|
| 223 |
+
"support": 29841.0
|
| 224 |
+
},
|
| 225 |
+
"eval_runtime": 4.8153,
|
| 226 |
+
"eval_samples_per_second": 16.614,
|
| 227 |
+
"eval_steps_per_second": 2.077,
|
| 228 |
"eval_weighted avg": {
|
| 229 |
+
"f1-score": 0.8455693764619782,
|
| 230 |
+
"precision": 0.8470828034323642,
|
| 231 |
+
"recall": 0.8444086994403672,
|
| 232 |
+
"support": 29841.0
|
| 233 |
},
|
| 234 |
"step": 405
|
| 235 |
},
|
| 236 |
{
|
| 237 |
"epoch": 6.0,
|
| 238 |
"eval_Claim": {
|
| 239 |
+
"f1-score": 0.6166529266281945,
|
| 240 |
+
"precision": 0.5813095006800078,
|
| 241 |
+
"recall": 0.6565723063418916,
|
| 242 |
+
"support": 4557.0
|
| 243 |
},
|
| 244 |
"eval_MajorClaim": {
|
| 245 |
+
"f1-score": 0.8074107959743824,
|
| 246 |
+
"precision": 0.8392772230147408,
|
| 247 |
+
"recall": 0.7778757161745262,
|
| 248 |
+
"support": 2269.0
|
| 249 |
},
|
| 250 |
"eval_O": {
|
| 251 |
+
"f1-score": 0.8913107165875667,
|
| 252 |
+
"precision": 0.8858607034707664,
|
| 253 |
+
"recall": 0.8968282042212004,
|
| 254 |
+
"support": 8481.0
|
| 255 |
},
|
| 256 |
"eval_Premise": {
|
| 257 |
+
"f1-score": 0.8815305371596762,
|
| 258 |
+
"precision": 0.8981792217065334,
|
| 259 |
+
"recall": 0.865487821659557,
|
| 260 |
+
"support": 14534.0
|
| 261 |
},
|
| 262 |
+
"eval_accuracy": 0.8358298984618477,
|
| 263 |
+
"eval_loss": 0.5537309050559998,
|
| 264 |
"eval_macro avg": {
|
| 265 |
+
"f1-score": 0.7992262440874549,
|
| 266 |
+
"precision": 0.8011566622180121,
|
| 267 |
+
"recall": 0.7991910120992938,
|
| 268 |
+
"support": 29841.0
|
| 269 |
+
},
|
| 270 |
+
"eval_runtime": 4.7996,
|
| 271 |
+
"eval_samples_per_second": 16.668,
|
| 272 |
+
"eval_steps_per_second": 2.084,
|
| 273 |
"eval_weighted avg": {
|
| 274 |
+
"f1-score": 0.838225042631562,
|
| 275 |
+
"precision": 0.8418105575563007,
|
| 276 |
+
"recall": 0.8358298984618477,
|
| 277 |
+
"support": 29841.0
|
| 278 |
},
|
| 279 |
"step": 486
|
| 280 |
},
|
| 281 |
{
|
| 282 |
"epoch": 6.17,
|
| 283 |
+
"grad_norm": 6.804128646850586,
|
| 284 |
"learning_rate": 1.7530864197530865e-05,
|
| 285 |
+
"loss": 0.3426,
|
| 286 |
"step": 500
|
| 287 |
},
|
| 288 |
{
|
| 289 |
"epoch": 7.0,
|
| 290 |
"eval_Claim": {
|
| 291 |
+
"f1-score": 0.6206536493682782,
|
| 292 |
+
"precision": 0.5920318725099601,
|
| 293 |
+
"recall": 0.652183454026772,
|
| 294 |
+
"support": 4557.0
|
| 295 |
},
|
| 296 |
"eval_MajorClaim": {
|
| 297 |
+
"f1-score": 0.8364370652905541,
|
| 298 |
+
"precision": 0.8519195612431444,
|
| 299 |
+
"recall": 0.8215072719259586,
|
| 300 |
+
"support": 2269.0
|
| 301 |
},
|
| 302 |
"eval_O": {
|
| 303 |
+
"f1-score": 0.9008658773634918,
|
| 304 |
+
"precision": 0.9000706214689266,
|
| 305 |
+
"recall": 0.9016625397948355,
|
| 306 |
+
"support": 8481.0
|
| 307 |
},
|
| 308 |
"eval_Premise": {
|
| 309 |
+
"f1-score": 0.8854242963272995,
|
| 310 |
+
"precision": 0.8978566881233642,
|
| 311 |
+
"recall": 0.8733314985551122,
|
| 312 |
+
"support": 14534.0
|
| 313 |
},
|
| 314 |
+
"eval_accuracy": 0.8436714587312758,
|
| 315 |
+
"eval_loss": 0.5738794207572937,
|
| 316 |
"eval_macro avg": {
|
| 317 |
+
"f1-score": 0.8108452220874058,
|
| 318 |
+
"precision": 0.8104696858363488,
|
| 319 |
+
"recall": 0.8121711910756696,
|
| 320 |
+
"support": 29841.0
|
| 321 |
+
},
|
| 322 |
+
"eval_runtime": 4.8167,
|
| 323 |
+
"eval_samples_per_second": 16.609,
|
| 324 |
+
"eval_steps_per_second": 2.076,
|
| 325 |
"eval_weighted avg": {
|
| 326 |
+
"f1-score": 0.8456551258354699,
|
| 327 |
+
"precision": 0.8482906998207675,
|
| 328 |
+
"recall": 0.8436714587312758,
|
| 329 |
+
"support": 29841.0
|
| 330 |
},
|
| 331 |
"step": 567
|
| 332 |
},
|
| 333 |
{
|
| 334 |
"epoch": 8.0,
|
| 335 |
"eval_Claim": {
|
| 336 |
+
"f1-score": 0.6410105757931845,
|
| 337 |
+
"precision": 0.5787798408488064,
|
| 338 |
+
"recall": 0.7182356813693219,
|
| 339 |
+
"support": 4557.0
|
| 340 |
},
|
| 341 |
"eval_MajorClaim": {
|
| 342 |
+
"f1-score": 0.8115942028985507,
|
| 343 |
+
"precision": 0.8804123711340206,
|
| 344 |
+
"recall": 0.75275451740855,
|
| 345 |
+
"support": 2269.0
|
| 346 |
},
|
| 347 |
"eval_O": {
|
| 348 |
+
"f1-score": 0.8960937967338637,
|
| 349 |
+
"precision": 0.9094220495386109,
|
| 350 |
+
"recall": 0.8831505718665251,
|
| 351 |
+
"support": 8481.0
|
| 352 |
},
|
| 353 |
"eval_Premise": {
|
| 354 |
+
"f1-score": 0.891816143497758,
|
| 355 |
+
"precision": 0.9084939329050679,
|
| 356 |
+
"recall": 0.8757396449704142,
|
| 357 |
+
"support": 14534.0
|
| 358 |
},
|
| 359 |
+
"eval_accuracy": 0.8444422103816897,
|
| 360 |
+
"eval_loss": 0.5891872644424438,
|
| 361 |
"eval_macro avg": {
|
| 362 |
+
"f1-score": 0.8101286797308392,
|
| 363 |
+
"precision": 0.8192770486066265,
|
| 364 |
+
"recall": 0.8074701039037029,
|
| 365 |
+
"support": 29841.0
|
| 366 |
+
},
|
| 367 |
+
"eval_runtime": 4.799,
|
| 368 |
+
"eval_samples_per_second": 16.67,
|
| 369 |
+
"eval_steps_per_second": 2.084,
|
| 370 |
"eval_weighted avg": {
|
| 371 |
+
"f1-score": 0.8486317402219317,
|
| 372 |
+
"precision": 0.8562720628608399,
|
| 373 |
+
"recall": 0.8444422103816897,
|
| 374 |
+
"support": 29841.0
|
| 375 |
},
|
| 376 |
"step": 648
|
| 377 |
},
|
| 378 |
{
|
| 379 |
"epoch": 9.0,
|
| 380 |
"eval_Claim": {
|
| 381 |
+
"f1-score": 0.6284997910572503,
|
| 382 |
+
"precision": 0.5998005982053839,
|
| 383 |
+
"recall": 0.6600833881939873,
|
| 384 |
+
"support": 4557.0
|
| 385 |
},
|
| 386 |
"eval_MajorClaim": {
|
| 387 |
+
"f1-score": 0.816712834718375,
|
| 388 |
+
"precision": 0.857489093553078,
|
| 389 |
+
"recall": 0.7796386073159982,
|
| 390 |
+
"support": 2269.0
|
| 391 |
},
|
| 392 |
"eval_O": {
|
| 393 |
+
"f1-score": 0.8971996170416466,
|
| 394 |
+
"precision": 0.9108249301421455,
|
| 395 |
+
"recall": 0.8839759462327555,
|
| 396 |
+
"support": 8481.0
|
| 397 |
},
|
| 398 |
"eval_Premise": {
|
| 399 |
+
"f1-score": 0.8942406935938898,
|
| 400 |
+
"precision": 0.8943022295623452,
|
| 401 |
+
"recall": 0.8941791660932985,
|
| 402 |
+
"support": 14534.0
|
| 403 |
},
|
| 404 |
+
"eval_accuracy": 0.8468214872155759,
|
| 405 |
+
"eval_loss": 0.7009620070457458,
|
| 406 |
"eval_macro avg": {
|
| 407 |
+
"f1-score": 0.8091632341027905,
|
| 408 |
+
"precision": 0.8156042128657381,
|
| 409 |
+
"recall": 0.8044692769590099,
|
| 410 |
+
"support": 29841.0
|
| 411 |
+
},
|
| 412 |
+
"eval_runtime": 4.8005,
|
| 413 |
+
"eval_samples_per_second": 16.665,
|
| 414 |
+
"eval_steps_per_second": 2.083,
|
| 415 |
"eval_weighted avg": {
|
| 416 |
+
"f1-score": 0.848605581671113,
|
| 417 |
+
"precision": 0.8512257939173797,
|
| 418 |
+
"recall": 0.8468214872155759,
|
| 419 |
+
"support": 29841.0
|
| 420 |
},
|
| 421 |
"step": 729
|
| 422 |
},
|
| 423 |
{
|
| 424 |
"epoch": 10.0,
|
| 425 |
"eval_Claim": {
|
| 426 |
+
"f1-score": 0.6189745836985101,
|
| 427 |
+
"precision": 0.6180266900021877,
|
| 428 |
+
"recall": 0.619925389510643,
|
| 429 |
+
"support": 4557.0
|
| 430 |
},
|
| 431 |
"eval_MajorClaim": {
|
| 432 |
+
"f1-score": 0.8208921766420085,
|
| 433 |
+
"precision": 0.8353102189781022,
|
| 434 |
+
"recall": 0.8069634200088145,
|
| 435 |
+
"support": 2269.0
|
| 436 |
},
|
| 437 |
"eval_O": {
|
| 438 |
+
"f1-score": 0.8951902368987796,
|
| 439 |
+
"precision": 0.9085610200364299,
|
| 440 |
+
"recall": 0.8822072868765476,
|
| 441 |
+
"support": 8481.0
|
| 442 |
},
|
| 443 |
"eval_Premise": {
|
| 444 |
+
"f1-score": 0.8963474827245805,
|
| 445 |
+
"precision": 0.8870174493027017,
|
| 446 |
+
"recall": 0.905875877253337,
|
| 447 |
+
"support": 14534.0
|
| 448 |
},
|
| 449 |
+
"eval_accuracy": 0.8479608592205355,
|
| 450 |
+
"eval_loss": 0.7416248917579651,
|
| 451 |
"eval_macro avg": {
|
| 452 |
+
"f1-score": 0.8078511199909697,
|
| 453 |
+
"precision": 0.8122288445798553,
|
| 454 |
+
"recall": 0.8037429934123356,
|
| 455 |
+
"support": 29841.0
|
| 456 |
+
},
|
| 457 |
+
"eval_runtime": 4.7804,
|
| 458 |
+
"eval_samples_per_second": 16.735,
|
| 459 |
+
"eval_steps_per_second": 2.092,
|
| 460 |
"eval_weighted avg": {
|
| 461 |
+
"f1-score": 0.8479238041544329,
|
| 462 |
+
"precision": 0.8481312332795722,
|
| 463 |
+
"recall": 0.8479608592205355,
|
| 464 |
+
"support": 29841.0
|
| 465 |
},
|
| 466 |
"step": 810
|
| 467 |
},
|
| 468 |
{
|
| 469 |
"epoch": 11.0,
|
| 470 |
"eval_Claim": {
|
| 471 |
+
"f1-score": 0.6350413962855225,
|
| 472 |
+
"precision": 0.6477973065510158,
|
| 473 |
+
"recall": 0.6227781435154707,
|
| 474 |
+
"support": 4557.0
|
| 475 |
},
|
| 476 |
"eval_MajorClaim": {
|
| 477 |
+
"f1-score": 0.8403837767117314,
|
| 478 |
+
"precision": 0.8316788951230039,
|
| 479 |
+
"recall": 0.8492728074041428,
|
| 480 |
+
"support": 2269.0
|
| 481 |
},
|
| 482 |
"eval_O": {
|
| 483 |
+
"f1-score": 0.9076665470637484,
|
| 484 |
+
"precision": 0.920883387938357,
|
| 485 |
+
"recall": 0.894823723617498,
|
| 486 |
+
"support": 8481.0
|
| 487 |
},
|
| 488 |
"eval_Premise": {
|
| 489 |
+
"f1-score": 0.9016170675363501,
|
| 490 |
+
"precision": 0.8904844987250033,
|
| 491 |
+
"recall": 0.9130315123159488,
|
| 492 |
+
"support": 14534.0
|
| 493 |
},
|
| 494 |
+
"eval_accuracy": 0.8586843604436849,
|
| 495 |
+
"eval_loss": 0.753268837928772,
|
| 496 |
"eval_macro avg": {
|
| 497 |
+
"f1-score": 0.8211771968993381,
|
| 498 |
+
"precision": 0.822711022084345,
|
| 499 |
+
"recall": 0.8199765467132651,
|
| 500 |
+
"support": 29841.0
|
| 501 |
+
},
|
| 502 |
+
"eval_runtime": 4.7829,
|
| 503 |
+
"eval_samples_per_second": 16.726,
|
| 504 |
+
"eval_steps_per_second": 2.091,
|
| 505 |
"eval_weighted avg": {
|
| 506 |
+
"f1-score": 0.8579718131916827,
|
| 507 |
+
"precision": 0.8575920866110881,
|
| 508 |
+
"recall": 0.8586843604436849,
|
| 509 |
+
"support": 29841.0
|
| 510 |
},
|
| 511 |
"step": 891
|
| 512 |
},
|
| 513 |
{
|
| 514 |
"epoch": 12.0,
|
| 515 |
"eval_Claim": {
|
| 516 |
+
"f1-score": 0.6230640668523677,
|
| 517 |
+
"precision": 0.6328655500226347,
|
| 518 |
+
"recall": 0.6135615536537196,
|
| 519 |
+
"support": 4557.0
|
| 520 |
},
|
| 521 |
"eval_MajorClaim": {
|
| 522 |
+
"f1-score": 0.837270341207349,
|
| 523 |
+
"precision": 0.8310898827616153,
|
| 524 |
+
"recall": 0.8435434111943587,
|
| 525 |
+
"support": 2269.0
|
| 526 |
},
|
| 527 |
"eval_O": {
|
| 528 |
+
"f1-score": 0.8982022214588343,
|
| 529 |
+
"precision": 0.8730105731775181,
|
| 530 |
+
"recall": 0.9248909326730338,
|
| 531 |
+
"support": 8481.0
|
| 532 |
},
|
| 533 |
"eval_Premise": {
|
| 534 |
+
"f1-score": 0.8888346297394397,
|
| 535 |
+
"precision": 0.9013795542978422,
|
| 536 |
+
"recall": 0.8766340993532407,
|
| 537 |
+
"support": 14534.0
|
| 538 |
},
|
| 539 |
+
"eval_accuracy": 0.8476592607486344,
|
| 540 |
+
"eval_loss": 0.8125314712524414,
|
| 541 |
"eval_macro avg": {
|
| 542 |
+
"f1-score": 0.8118428148144977,
|
| 543 |
+
"precision": 0.8095863900649026,
|
| 544 |
+
"recall": 0.8146574992185882,
|
| 545 |
+
"support": 29841.0
|
| 546 |
+
},
|
| 547 |
+
"eval_runtime": 4.7824,
|
| 548 |
+
"eval_samples_per_second": 16.728,
|
| 549 |
+
"eval_steps_per_second": 2.091,
|
| 550 |
"eval_weighted avg": {
|
| 551 |
+
"f1-score": 0.846990546753497,
|
| 552 |
+
"precision": 0.8469677413197487,
|
| 553 |
+
"recall": 0.8476592607486344,
|
| 554 |
+
"support": 29841.0
|
| 555 |
},
|
| 556 |
"step": 972
|
| 557 |
},
|
| 558 |
{
|
| 559 |
"epoch": 12.35,
|
| 560 |
+
"grad_norm": 15.335172653198242,
|
| 561 |
"learning_rate": 1.506172839506173e-05,
|
| 562 |
+
"loss": 0.061,
|
| 563 |
"step": 1000
|
| 564 |
},
|
| 565 |
{
|
| 566 |
"epoch": 13.0,
|
| 567 |
"eval_Claim": {
|
| 568 |
+
"f1-score": 0.6158673240699238,
|
| 569 |
+
"precision": 0.6292649416075109,
|
| 570 |
+
"recall": 0.6030283080974326,
|
| 571 |
+
"support": 4557.0
|
| 572 |
},
|
| 573 |
"eval_MajorClaim": {
|
| 574 |
+
"f1-score": 0.8147180492053124,
|
| 575 |
+
"precision": 0.8050774526678142,
|
| 576 |
+
"recall": 0.8245923314235346,
|
| 577 |
+
"support": 2269.0
|
| 578 |
},
|
| 579 |
"eval_O": {
|
| 580 |
+
"f1-score": 0.9060346875742457,
|
| 581 |
+
"precision": 0.9128665469778575,
|
| 582 |
+
"recall": 0.8993043273198915,
|
| 583 |
+
"support": 8481.0
|
| 584 |
},
|
| 585 |
"eval_Premise": {
|
| 586 |
+
"f1-score": 0.9008830850011933,
|
| 587 |
+
"precision": 0.8929368029739777,
|
| 588 |
+
"recall": 0.9089720655015825,
|
| 589 |
+
"support": 14534.0
|
| 590 |
},
|
| 591 |
+
"eval_accuracy": 0.8530880332428538,
|
| 592 |
+
"eval_loss": 0.8537381887435913,
|
| 593 |
"eval_macro avg": {
|
| 594 |
+
"f1-score": 0.8093757864626687,
|
| 595 |
+
"precision": 0.8100364360567901,
|
| 596 |
+
"recall": 0.8089742580856103,
|
| 597 |
+
"support": 29841.0
|
| 598 |
+
},
|
| 599 |
+
"eval_runtime": 4.7933,
|
| 600 |
+
"eval_samples_per_second": 16.69,
|
| 601 |
+
"eval_steps_per_second": 2.086,
|
| 602 |
"eval_weighted avg": {
|
| 603 |
+
"f1-score": 0.8522709558043637,
|
| 604 |
+
"precision": 0.8516552983596964,
|
| 605 |
+
"recall": 0.8530880332428538,
|
| 606 |
+
"support": 29841.0
|
| 607 |
},
|
| 608 |
"step": 1053
|
| 609 |
},
|
| 610 |
{
|
| 611 |
"epoch": 14.0,
|
| 612 |
"eval_Claim": {
|
| 613 |
+
"f1-score": 0.6346033728919426,
|
| 614 |
+
"precision": 0.6036838978015449,
|
| 615 |
+
"recall": 0.6688610928242265,
|
| 616 |
+
"support": 4557.0
|
| 617 |
},
|
| 618 |
"eval_MajorClaim": {
|
| 619 |
+
"f1-score": 0.8067737733391228,
|
| 620 |
+
"precision": 0.7950363714163458,
|
| 621 |
+
"recall": 0.8188629352137505,
|
| 622 |
+
"support": 2269.0
|
| 623 |
},
|
| 624 |
"eval_O": {
|
| 625 |
+
"f1-score": 0.9004597838418822,
|
| 626 |
+
"precision": 0.9121703363174449,
|
| 627 |
+
"recall": 0.8890461030538852,
|
| 628 |
+
"support": 8481.0
|
| 629 |
},
|
| 630 |
"eval_Premise": {
|
| 631 |
+
"f1-score": 0.8921770010096438,
|
| 632 |
+
"precision": 0.903023468884347,
|
| 633 |
+
"recall": 0.8815880005504335,
|
| 634 |
+
"support": 14534.0
|
| 635 |
},
|
| 636 |
+
"eval_accuracy": 0.8464528668610302,
|
| 637 |
+
"eval_loss": 0.9449928998947144,
|
| 638 |
"eval_macro avg": {
|
| 639 |
+
"f1-score": 0.8085034827706478,
|
| 640 |
+
"precision": 0.8034785186049206,
|
| 641 |
+
"recall": 0.8145895329105739,
|
| 642 |
+
"support": 29841.0
|
| 643 |
+
},
|
| 644 |
+
"eval_runtime": 4.8154,
|
| 645 |
+
"eval_samples_per_second": 16.613,
|
| 646 |
+
"eval_steps_per_second": 2.077,
|
| 647 |
"eval_weighted avg": {
|
| 648 |
+
"f1-score": 0.8487033685671466,
|
| 649 |
+
"precision": 0.8517001698367573,
|
| 650 |
+
"recall": 0.8464528668610302,
|
| 651 |
+
"support": 29841.0
|
| 652 |
},
|
| 653 |
"step": 1134
|
| 654 |
},
|
| 655 |
{
|
| 656 |
"epoch": 15.0,
|
| 657 |
"eval_Claim": {
|
| 658 |
+
"f1-score": 0.6062717770034843,
|
| 659 |
+
"precision": 0.5687367813881946,
|
| 660 |
+
"recall": 0.6491112574061882,
|
| 661 |
+
"support": 4557.0
|
| 662 |
},
|
| 663 |
"eval_MajorClaim": {
|
| 664 |
+
"f1-score": 0.8176843948347561,
|
| 665 |
+
"precision": 0.8121739130434783,
|
| 666 |
+
"recall": 0.8232701630674306,
|
| 667 |
+
"support": 2269.0
|
| 668 |
},
|
| 669 |
"eval_O": {
|
| 670 |
+
"f1-score": 0.8942823803967327,
|
| 671 |
+
"precision": 0.8850906571197598,
|
| 672 |
+
"recall": 0.9036670203985379,
|
| 673 |
+
"support": 8481.0
|
| 674 |
},
|
| 675 |
"eval_Premise": {
|
| 676 |
+
"f1-score": 0.877618288144604,
|
| 677 |
+
"precision": 0.9049777063080184,
|
| 678 |
+
"recall": 0.8518645933672767,
|
| 679 |
+
"support": 14534.0
|
| 680 |
},
|
| 681 |
+
"eval_accuracy": 0.8334506216279616,
|
| 682 |
+
"eval_loss": 1.0531803369522095,
|
| 683 |
"eval_macro avg": {
|
| 684 |
+
"f1-score": 0.7989642100948944,
|
| 685 |
+
"precision": 0.7927447644648628,
|
| 686 |
+
"recall": 0.8069782585598584,
|
| 687 |
+
"support": 29841.0
|
| 688 |
+
},
|
| 689 |
+
"eval_runtime": 4.774,
|
| 690 |
+
"eval_samples_per_second": 16.757,
|
| 691 |
+
"eval_steps_per_second": 2.095,
|
| 692 |
"eval_weighted avg": {
|
| 693 |
+
"f1-score": 0.8363600230462553,
|
| 694 |
+
"precision": 0.8409220859889104,
|
| 695 |
+
"recall": 0.8334506216279616,
|
| 696 |
+
"support": 29841.0
|
| 697 |
},
|
| 698 |
"step": 1215
|
| 699 |
},
|
| 700 |
{
|
| 701 |
"epoch": 16.0,
|
| 702 |
"eval_Claim": {
|
| 703 |
+
"f1-score": 0.6349479110729246,
|
| 704 |
+
"precision": 0.6217921750105174,
|
| 705 |
+
"recall": 0.6486723721746763,
|
| 706 |
+
"support": 4557.0
|
| 707 |
},
|
| 708 |
"eval_MajorClaim": {
|
| 709 |
+
"f1-score": 0.8260292164674634,
|
| 710 |
+
"precision": 0.8297020898176968,
|
| 711 |
+
"recall": 0.8223887174966946,
|
| 712 |
+
"support": 2269.0
|
| 713 |
},
|
| 714 |
"eval_O": {
|
| 715 |
+
"f1-score": 0.9045516104339634,
|
| 716 |
+
"precision": 0.9034344860032933,
|
| 717 |
+
"recall": 0.9056715010022403,
|
| 718 |
+
"support": 8481.0
|
| 719 |
},
|
| 720 |
"eval_Premise": {
|
| 721 |
+
"f1-score": 0.8956702459300312,
|
| 722 |
+
"precision": 0.90185546875,
|
| 723 |
+
"recall": 0.8895692858125774,
|
| 724 |
+
"support": 14534.0
|
| 725 |
},
|
| 726 |
+
"eval_accuracy": 0.8522502597097953,
|
| 727 |
+
"eval_loss": 0.9694080352783203,
|
| 728 |
"eval_macro avg": {
|
| 729 |
+
"f1-score": 0.8152997459760956,
|
| 730 |
+
"precision": 0.8141960548953769,
|
| 731 |
+
"recall": 0.8165754691215471,
|
| 732 |
+
"support": 29841.0
|
| 733 |
+
},
|
| 734 |
+
"eval_runtime": 4.7829,
|
| 735 |
+
"eval_samples_per_second": 16.726,
|
| 736 |
+
"eval_steps_per_second": 2.091,
|
| 737 |
"eval_weighted avg": {
|
| 738 |
+
"f1-score": 0.8530843968151707,
|
| 739 |
+
"precision": 0.854049671322198,
|
| 740 |
+
"recall": 0.8522502597097953,
|
| 741 |
+
"support": 29841.0
|
| 742 |
},
|
| 743 |
"step": 1296
|
| 744 |
},
|
| 745 |
{
|
| 746 |
"epoch": 17.0,
|
| 747 |
"eval_Claim": {
|
| 748 |
+
"f1-score": 0.6241452751933639,
|
| 749 |
+
"precision": 0.6379468377635197,
|
| 750 |
+
"recall": 0.6109282422646478,
|
| 751 |
+
"support": 4557.0
|
| 752 |
},
|
| 753 |
"eval_MajorClaim": {
|
| 754 |
+
"f1-score": 0.8151592652871426,
|
| 755 |
+
"precision": 0.8626968503937008,
|
| 756 |
+
"recall": 0.7725870427501101,
|
| 757 |
+
"support": 2269.0
|
| 758 |
},
|
| 759 |
"eval_O": {
|
| 760 |
+
"f1-score": 0.9064921025764218,
|
| 761 |
+
"precision": 0.9237454100367197,
|
| 762 |
+
"recall": 0.8898714774201155,
|
| 763 |
+
"support": 8481.0
|
| 764 |
},
|
| 765 |
"eval_Premise": {
|
| 766 |
+
"f1-score": 0.8993928008319636,
|
| 767 |
+
"precision": 0.8775777414075286,
|
| 768 |
+
"recall": 0.9223200770606853,
|
| 769 |
+
"support": 14534.0
|
| 770 |
},
|
| 771 |
+
"eval_accuracy": 0.8541603833651688,
|
| 772 |
+
"eval_loss": 0.985948920249939,
|
| 773 |
"eval_macro avg": {
|
| 774 |
+
"f1-score": 0.8112973609722229,
|
| 775 |
+
"precision": 0.8254917099003672,
|
| 776 |
+
"recall": 0.7989267098738898,
|
| 777 |
+
"support": 29841.0
|
| 778 |
+
},
|
| 779 |
+
"eval_runtime": 4.7769,
|
| 780 |
+
"eval_samples_per_second": 16.747,
|
| 781 |
+
"eval_steps_per_second": 2.093,
|
| 782 |
"eval_weighted avg": {
|
| 783 |
+
"f1-score": 0.8529727851357218,
|
| 784 |
+
"precision": 0.85297351326598,
|
| 785 |
+
"recall": 0.8541603833651688,
|
| 786 |
+
"support": 29841.0
|
| 787 |
},
|
| 788 |
"step": 1377
|
| 789 |
},
|
| 790 |
{
|
| 791 |
"epoch": 18.0,
|
| 792 |
"eval_Claim": {
|
| 793 |
+
"f1-score": 0.638718890248878,
|
| 794 |
+
"precision": 0.5967219363445778,
|
| 795 |
+
"recall": 0.6870748299319728,
|
| 796 |
+
"support": 4557.0
|
| 797 |
},
|
| 798 |
"eval_MajorClaim": {
|
| 799 |
+
"f1-score": 0.778357854769815,
|
| 800 |
+
"precision": 0.8431876606683805,
|
| 801 |
+
"recall": 0.7227853680035258,
|
| 802 |
+
"support": 2269.0
|
| 803 |
},
|
| 804 |
"eval_O": {
|
| 805 |
+
"f1-score": 0.9013165698019214,
|
| 806 |
+
"precision": 0.9066937119675457,
|
| 807 |
+
"recall": 0.8960028298549699,
|
| 808 |
+
"support": 8481.0
|
| 809 |
},
|
| 810 |
"eval_Premise": {
|
| 811 |
+
"f1-score": 0.8934796194708702,
|
| 812 |
+
"precision": 0.9018082422203533,
|
| 813 |
+
"recall": 0.885303426448328,
|
| 814 |
+
"support": 14534.0
|
| 815 |
},
|
| 816 |
+
"eval_accuracy": 0.8457156261519386,
|
| 817 |
+
"eval_loss": 0.9986578822135925,
|
| 818 |
"eval_macro avg": {
|
| 819 |
+
"f1-score": 0.8029682335728712,
|
| 820 |
+
"precision": 0.8121028878002143,
|
| 821 |
+
"recall": 0.7977916135596992,
|
| 822 |
+
"support": 29841.0
|
| 823 |
+
},
|
| 824 |
+
"eval_runtime": 4.7848,
|
| 825 |
+
"eval_samples_per_second": 16.719,
|
| 826 |
+
"eval_steps_per_second": 2.09,
|
| 827 |
"eval_weighted avg": {
|
| 828 |
+
"f1-score": 0.8480491462490054,
|
| 829 |
+
"precision": 0.8521498954326654,
|
| 830 |
+
"recall": 0.8457156261519386,
|
| 831 |
+
"support": 29841.0
|
| 832 |
},
|
| 833 |
"step": 1458
|
| 834 |
},
|
| 835 |
{
|
| 836 |
"epoch": 18.52,
|
| 837 |
+
"grad_norm": 11.437110900878906,
|
| 838 |
"learning_rate": 1.2592592592592593e-05,
|
| 839 |
+
"loss": 0.0189,
|
| 840 |
"step": 1500
|
| 841 |
},
|
| 842 |
{
|
| 843 |
"epoch": 19.0,
|
| 844 |
"eval_Claim": {
|
| 845 |
+
"f1-score": 0.6127094530509011,
|
| 846 |
+
"precision": 0.5894160583941606,
|
| 847 |
+
"recall": 0.6379196840026333,
|
| 848 |
+
"support": 4557.0
|
| 849 |
},
|
| 850 |
"eval_MajorClaim": {
|
| 851 |
+
"f1-score": 0.800753453327752,
|
| 852 |
+
"precision": 0.762455161418892,
|
| 853 |
+
"recall": 0.8431026884089907,
|
| 854 |
+
"support": 2269.0
|
| 855 |
},
|
| 856 |
"eval_O": {
|
| 857 |
+
"f1-score": 0.8959336706699994,
|
| 858 |
+
"precision": 0.9275435496086847,
|
| 859 |
+
"recall": 0.8664072632944229,
|
| 860 |
+
"support": 8481.0
|
| 861 |
},
|
| 862 |
"eval_Premise": {
|
| 863 |
+
"f1-score": 0.8912863642630635,
|
| 864 |
+
"precision": 0.8930100842657825,
|
| 865 |
+
"recall": 0.8895692858125774,
|
| 866 |
+
"support": 14534.0
|
| 867 |
},
|
| 868 |
+
"eval_accuracy": 0.8410240943668108,
|
| 869 |
+
"eval_loss": 1.0641764402389526,
|
| 870 |
"eval_macro avg": {
|
| 871 |
+
"f1-score": 0.800170735327929,
|
| 872 |
+
"precision": 0.79310621342188,
|
| 873 |
+
"recall": 0.8092497303796561,
|
| 874 |
+
"support": 29841.0
|
| 875 |
+
},
|
| 876 |
+
"eval_runtime": 4.8048,
|
| 877 |
+
"eval_samples_per_second": 16.65,
|
| 878 |
+
"eval_steps_per_second": 2.081,
|
| 879 |
"eval_weighted avg": {
|
| 880 |
+
"f1-score": 0.8431820663618932,
|
| 881 |
+
"precision": 0.8465361465202841,
|
| 882 |
+
"recall": 0.8410240943668108,
|
| 883 |
+
"support": 29841.0
|
| 884 |
},
|
| 885 |
"step": 1539
|
| 886 |
},
|
| 887 |
{
|
| 888 |
"epoch": 20.0,
|
| 889 |
"eval_Claim": {
|
| 890 |
+
"f1-score": 0.6346276257161044,
|
| 891 |
+
"precision": 0.6142945163277881,
|
| 892 |
+
"recall": 0.6563528637261357,
|
| 893 |
+
"support": 4557.0
|
| 894 |
},
|
| 895 |
"eval_MajorClaim": {
|
| 896 |
+
"f1-score": 0.8171902268760908,
|
| 897 |
+
"precision": 0.8090712742980561,
|
| 898 |
+
"recall": 0.8254737769942706,
|
| 899 |
+
"support": 2269.0
|
| 900 |
},
|
| 901 |
"eval_O": {
|
| 902 |
+
"f1-score": 0.9044396961063628,
|
| 903 |
+
"precision": 0.9106011712680769,
|
| 904 |
+
"recall": 0.8983610423299139,
|
| 905 |
+
"support": 8481.0
|
| 906 |
},
|
| 907 |
"eval_Premise": {
|
| 908 |
+
"f1-score": 0.894879267277269,
|
| 909 |
+
"precision": 0.902519244226732,
|
| 910 |
+
"recall": 0.8873675519471584,
|
| 911 |
+
"support": 14534.0
|
| 912 |
},
|
| 913 |
+
"eval_accuracy": 0.8505076907610335,
|
| 914 |
+
"eval_loss": 1.087249994277954,
|
| 915 |
"eval_macro avg": {
|
| 916 |
+
"f1-score": 0.8127842039939568,
|
| 917 |
+
"precision": 0.8091215515301633,
|
| 918 |
+
"recall": 0.8168888087493696,
|
| 919 |
+
"support": 29841.0
|
| 920 |
+
},
|
| 921 |
+
"eval_runtime": 4.7799,
|
| 922 |
+
"eval_samples_per_second": 16.737,
|
| 923 |
+
"eval_steps_per_second": 2.092,
|
| 924 |
"eval_weighted avg": {
|
| 925 |
+
"f1-score": 0.85194635060675,
|
| 926 |
+
"precision": 0.8536961248417916,
|
| 927 |
+
"recall": 0.8505076907610335,
|
| 928 |
+
"support": 29841.0
|
| 929 |
},
|
| 930 |
"step": 1620
|
| 931 |
},
|
| 932 |
{
|
| 933 |
"epoch": 21.0,
|
| 934 |
"eval_Claim": {
|
| 935 |
+
"f1-score": 0.6397356640375187,
|
| 936 |
+
"precision": 0.6219689119170985,
|
| 937 |
+
"recall": 0.6585472898836954,
|
| 938 |
+
"support": 4557.0
|
| 939 |
},
|
| 940 |
"eval_MajorClaim": {
|
| 941 |
+
"f1-score": 0.8133363574506692,
|
| 942 |
+
"precision": 0.8378504672897197,
|
| 943 |
+
"recall": 0.7902159541648304,
|
| 944 |
+
"support": 2269.0
|
| 945 |
},
|
| 946 |
"eval_O": {
|
| 947 |
+
"f1-score": 0.9003324267150197,
|
| 948 |
+
"precision": 0.9236111111111112,
|
| 949 |
+
"recall": 0.8781983256691428,
|
| 950 |
+
"support": 8481.0
|
| 951 |
},
|
| 952 |
"eval_Premise": {
|
| 953 |
+
"f1-score": 0.8964765215020788,
|
| 954 |
+
"precision": 0.8880637321091007,
|
| 955 |
+
"recall": 0.9050502270538049,
|
| 956 |
+
"support": 14534.0
|
| 957 |
},
|
| 958 |
+
"eval_accuracy": 0.8510438658221909,
|
| 959 |
+
"eval_loss": 1.093902826309204,
|
| 960 |
"eval_macro avg": {
|
| 961 |
+
"f1-score": 0.8124702424263215,
|
| 962 |
+
"precision": 0.8178735556067575,
|
| 963 |
+
"recall": 0.8080029491928683,
|
| 964 |
+
"support": 29841.0
|
| 965 |
+
},
|
| 966 |
+
"eval_runtime": 4.813,
|
| 967 |
+
"eval_samples_per_second": 16.622,
|
| 968 |
+
"eval_steps_per_second": 2.078,
|
| 969 |
"eval_weighted avg": {
|
| 970 |
+
"f1-score": 0.8520439894961911,
|
| 971 |
+
"precision": 0.8537133191814482,
|
| 972 |
+
"recall": 0.8510438658221909,
|
| 973 |
+
"support": 29841.0
|
| 974 |
},
|
| 975 |
"step": 1701
|
| 976 |
},
|
| 977 |
{
|
| 978 |
"epoch": 22.0,
|
| 979 |
"eval_Claim": {
|
| 980 |
+
"f1-score": 0.6279694722132645,
|
| 981 |
+
"precision": 0.6154656552886641,
|
| 982 |
+
"recall": 0.640991880623217,
|
| 983 |
+
"support": 4557.0
|
| 984 |
},
|
| 985 |
"eval_MajorClaim": {
|
| 986 |
+
"f1-score": 0.8173439463762043,
|
| 987 |
+
"precision": 0.7788423153692615,
|
| 988 |
+
"recall": 0.8598501542529748,
|
| 989 |
+
"support": 2269.0
|
| 990 |
},
|
| 991 |
"eval_O": {
|
| 992 |
+
"f1-score": 0.9038883941822499,
|
| 993 |
+
"precision": 0.910210425633668,
|
| 994 |
+
"recall": 0.8976535785874308,
|
| 995 |
+
"support": 8481.0
|
| 996 |
},
|
| 997 |
"eval_Premise": {
|
| 998 |
+
"f1-score": 0.8954102920723226,
|
| 999 |
+
"precision": 0.9051033319274567,
|
| 1000 |
+
"recall": 0.8859226640979772,
|
| 1001 |
+
"support": 14534.0
|
| 1002 |
},
|
| 1003 |
+
"eval_accuracy": 0.849870982875909,
|
| 1004 |
+
"eval_loss": 1.0930607318878174,
|
| 1005 |
"eval_macro avg": {
|
| 1006 |
+
"f1-score": 0.8111530262110103,
|
| 1007 |
+
"precision": 0.8024054320547626,
|
| 1008 |
+
"recall": 0.8211045693904,
|
| 1009 |
+
"support": 29841.0
|
| 1010 |
+
},
|
| 1011 |
+
"eval_runtime": 4.8038,
|
| 1012 |
+
"eval_samples_per_second": 16.654,
|
| 1013 |
+
"eval_steps_per_second": 2.082,
|
| 1014 |
"eval_weighted avg": {
|
| 1015 |
+
"f1-score": 0.8510432276144315,
|
| 1016 |
+
"precision": 0.8527239921837771,
|
| 1017 |
+
"recall": 0.849870982875909,
|
| 1018 |
+
"support": 29841.0
|
| 1019 |
},
|
| 1020 |
"step": 1782
|
| 1021 |
},
|
| 1022 |
{
|
| 1023 |
"epoch": 23.0,
|
| 1024 |
"eval_Claim": {
|
| 1025 |
+
"f1-score": 0.6225736879942487,
|
| 1026 |
+
"precision": 0.5851351351351352,
|
| 1027 |
+
"recall": 0.6651305683563749,
|
| 1028 |
+
"support": 4557.0
|
| 1029 |
},
|
| 1030 |
"eval_MajorClaim": {
|
| 1031 |
+
"f1-score": 0.8058810995099083,
|
| 1032 |
+
"precision": 0.7801155115511551,
|
| 1033 |
+
"recall": 0.8334067871308947,
|
| 1034 |
+
"support": 2269.0
|
| 1035 |
},
|
| 1036 |
"eval_O": {
|
| 1037 |
+
"f1-score": 0.8976647945610404,
|
| 1038 |
+
"precision": 0.9001659947830211,
|
| 1039 |
+
"recall": 0.8951774554887395,
|
| 1040 |
+
"support": 8481.0
|
| 1041 |
},
|
| 1042 |
"eval_Premise": {
|
| 1043 |
+
"f1-score": 0.8881674136288245,
|
| 1044 |
+
"precision": 0.9116858653915816,
|
| 1045 |
+
"recall": 0.8658318425760286,
|
| 1046 |
+
"support": 14534.0
|
| 1047 |
},
|
| 1048 |
+
"eval_accuracy": 0.8410576053081331,
|
| 1049 |
+
"eval_loss": 1.1820006370544434,
|
| 1050 |
"eval_macro avg": {
|
| 1051 |
+
"f1-score": 0.8035717489235055,
|
| 1052 |
+
"precision": 0.7942756267152233,
|
| 1053 |
+
"recall": 0.8148866633880094,
|
| 1054 |
+
"support": 29841.0
|
| 1055 |
+
},
|
| 1056 |
+
"eval_runtime": 4.7901,
|
| 1057 |
+
"eval_samples_per_second": 16.701,
|
| 1058 |
+
"eval_steps_per_second": 2.088,
|
| 1059 |
"eval_weighted avg": {
|
| 1060 |
+
"f1-score": 0.8440512323089471,
|
| 1061 |
+
"precision": 0.8485403664715132,
|
| 1062 |
+
"recall": 0.8410576053081331,
|
| 1063 |
+
"support": 29841.0
|
| 1064 |
},
|
| 1065 |
"step": 1863
|
| 1066 |
},
|
| 1067 |
{
|
| 1068 |
"epoch": 24.0,
|
| 1069 |
"eval_Claim": {
|
| 1070 |
+
"f1-score": 0.6244661044792466,
|
| 1071 |
+
"precision": 0.6233056405771753,
|
| 1072 |
+
"recall": 0.6256308975202984,
|
| 1073 |
+
"support": 4557.0
|
| 1074 |
},
|
| 1075 |
"eval_MajorClaim": {
|
| 1076 |
+
"f1-score": 0.8177083333333335,
|
| 1077 |
+
"precision": 0.8054724241128688,
|
| 1078 |
+
"recall": 0.8303217276333187,
|
| 1079 |
+
"support": 2269.0
|
| 1080 |
},
|
| 1081 |
"eval_O": {
|
| 1082 |
+
"f1-score": 0.9007499414108273,
|
| 1083 |
+
"precision": 0.8951904040992198,
|
| 1084 |
+
"recall": 0.9063789647447235,
|
| 1085 |
+
"support": 8481.0
|
| 1086 |
},
|
| 1087 |
"eval_Premise": {
|
| 1088 |
+
"f1-score": 0.8948225108225109,
|
| 1089 |
+
"precision": 0.9008437347465309,
|
| 1090 |
+
"recall": 0.888881243979634,
|
| 1091 |
+
"support": 14534.0
|
| 1092 |
},
|
| 1093 |
+
"eval_accuracy": 0.8492007640494621,
|
| 1094 |
+
"eval_loss": 1.1699731349945068,
|
| 1095 |
"eval_macro avg": {
|
| 1096 |
+
"f1-score": 0.8094367225114796,
|
| 1097 |
+
"precision": 0.8062030508839487,
|
| 1098 |
+
"recall": 0.8128032084694936,
|
| 1099 |
+
"support": 29841.0
|
| 1100 |
+
},
|
| 1101 |
+
"eval_runtime": 4.802,
|
| 1102 |
+
"eval_samples_per_second": 16.66,
|
| 1103 |
+
"eval_steps_per_second": 2.082,
|
| 1104 |
"eval_weighted avg": {
|
| 1105 |
+
"f1-score": 0.8493576914930753,
|
| 1106 |
+
"precision": 0.8496026739182283,
|
| 1107 |
+
"recall": 0.8492007640494621,
|
| 1108 |
+
"support": 29841.0
|
| 1109 |
},
|
| 1110 |
"step": 1944
|
| 1111 |
},
|
| 1112 |
{
|
| 1113 |
"epoch": 24.69,
|
| 1114 |
+
"grad_norm": 9.07358169555664,
|
| 1115 |
"learning_rate": 1.0123456790123458e-05,
|
| 1116 |
+
"loss": 0.006,
|
| 1117 |
"step": 2000
|
| 1118 |
},
|
| 1119 |
{
|
| 1120 |
"epoch": 25.0,
|
| 1121 |
"eval_Claim": {
|
| 1122 |
+
"f1-score": 0.622420524261015,
|
| 1123 |
+
"precision": 0.632940108892922,
|
| 1124 |
+
"recall": 0.6122448979591837,
|
| 1125 |
+
"support": 4557.0
|
| 1126 |
},
|
| 1127 |
"eval_MajorClaim": {
|
| 1128 |
+
"f1-score": 0.8149307107733571,
|
| 1129 |
+
"precision": 0.8267573696145125,
|
| 1130 |
+
"recall": 0.8034376377258704,
|
| 1131 |
+
"support": 2269.0
|
| 1132 |
},
|
| 1133 |
"eval_O": {
|
| 1134 |
+
"f1-score": 0.9018776855612456,
|
| 1135 |
+
"precision": 0.9004466384579219,
|
| 1136 |
+
"recall": 0.9033132885272963,
|
| 1137 |
+
"support": 8481.0
|
| 1138 |
},
|
| 1139 |
"eval_Premise": {
|
| 1140 |
+
"f1-score": 0.8975866548164354,
|
| 1141 |
+
"precision": 0.8919157608695653,
|
| 1142 |
+
"recall": 0.9033301224714463,
|
| 1143 |
+
"support": 14534.0
|
| 1144 |
},
|
| 1145 |
+
"eval_accuracy": 0.8512784424114473,
|
| 1146 |
+
"eval_loss": 1.1391637325286865,
|
| 1147 |
"eval_macro avg": {
|
| 1148 |
+
"f1-score": 0.8092038938530133,
|
| 1149 |
+
"precision": 0.8130149694587304,
|
| 1150 |
+
"recall": 0.8055814866709491,
|
| 1151 |
+
"support": 29841.0
|
| 1152 |
+
},
|
| 1153 |
+
"eval_runtime": 4.83,
|
| 1154 |
+
"eval_samples_per_second": 16.563,
|
| 1155 |
+
"eval_steps_per_second": 2.07,
|
| 1156 |
"eval_weighted avg": {
|
| 1157 |
+
"f1-score": 0.8505008948811765,
|
| 1158 |
+
"precision": 0.8498378793311306,
|
| 1159 |
+
"recall": 0.8512784424114473,
|
| 1160 |
+
"support": 29841.0
|
| 1161 |
},
|
| 1162 |
"step": 2025
|
| 1163 |
},
|
| 1164 |
{
|
| 1165 |
"epoch": 26.0,
|
| 1166 |
"eval_Claim": {
|
| 1167 |
+
"f1-score": 0.6216186854970125,
|
| 1168 |
+
"precision": 0.6155335628227194,
|
| 1169 |
+
"recall": 0.6278253236778583,
|
| 1170 |
+
"support": 4557.0
|
| 1171 |
},
|
| 1172 |
"eval_MajorClaim": {
|
| 1173 |
+
"f1-score": 0.8021786492374727,
|
| 1174 |
+
"precision": 0.7931925894011203,
|
| 1175 |
+
"recall": 0.8113706478624945,
|
| 1176 |
+
"support": 2269.0
|
| 1177 |
},
|
| 1178 |
"eval_O": {
|
| 1179 |
+
"f1-score": 0.9000058854687776,
|
| 1180 |
+
"precision": 0.8984723854289072,
|
| 1181 |
+
"recall": 0.9015446291710884,
|
| 1182 |
+
"support": 8481.0
|
| 1183 |
},
|
| 1184 |
"eval_Premise": {
|
| 1185 |
+
"f1-score": 0.8959025470653377,
|
| 1186 |
+
"precision": 0.9012672329759086,
|
| 1187 |
+
"recall": 0.8906013485619926,
|
| 1188 |
+
"support": 14534.0
|
| 1189 |
},
|
| 1190 |
+
"eval_accuracy": 0.8475587279246674,
|
| 1191 |
+
"eval_loss": 1.18631911277771,
|
| 1192 |
"eval_macro avg": {
|
| 1193 |
+
"f1-score": 0.80492644181715,
|
| 1194 |
+
"precision": 0.8021164426571639,
|
| 1195 |
+
"recall": 0.8078354873183584,
|
| 1196 |
+
"support": 29841.0
|
| 1197 |
+
},
|
| 1198 |
+
"eval_runtime": 4.7928,
|
| 1199 |
+
"eval_samples_per_second": 16.692,
|
| 1200 |
+
"eval_steps_per_second": 2.086,
|
| 1201 |
"eval_weighted avg": {
|
| 1202 |
+
"f1-score": 0.8480566079768785,
|
| 1203 |
+
"precision": 0.848621115111045,
|
| 1204 |
+
"recall": 0.8475587279246674,
|
| 1205 |
+
"support": 29841.0
|
| 1206 |
},
|
| 1207 |
"step": 2106
|
| 1208 |
},
|
| 1209 |
{
|
| 1210 |
"epoch": 27.0,
|
| 1211 |
"eval_Claim": {
|
| 1212 |
+
"f1-score": 0.6274287012839449,
|
| 1213 |
+
"precision": 0.6505655042412818,
|
| 1214 |
+
"recall": 0.6058810621022602,
|
| 1215 |
+
"support": 4557.0
|
| 1216 |
},
|
| 1217 |
"eval_MajorClaim": {
|
| 1218 |
+
"f1-score": 0.8276779773785763,
|
| 1219 |
+
"precision": 0.8330357142857143,
|
| 1220 |
+
"recall": 0.8223887174966946,
|
| 1221 |
+
"support": 2269.0
|
| 1222 |
},
|
| 1223 |
"eval_O": {
|
| 1224 |
+
"f1-score": 0.9055736912102527,
|
| 1225 |
+
"precision": 0.9291651159905719,
|
| 1226 |
+
"recall": 0.8831505718665251,
|
| 1227 |
+
"support": 8481.0
|
| 1228 |
},
|
| 1229 |
"eval_Premise": {
|
| 1230 |
+
"f1-score": 0.8996312437143815,
|
| 1231 |
+
"precision": 0.8772228033472803,
|
| 1232 |
+
"recall": 0.9232145314435117,
|
| 1233 |
+
"support": 14534.0
|
| 1234 |
},
|
| 1235 |
+
"eval_accuracy": 0.8557018866659964,
|
| 1236 |
+
"eval_loss": 1.173492431640625,
|
| 1237 |
"eval_macro avg": {
|
| 1238 |
+
"f1-score": 0.8150779033967888,
|
| 1239 |
+
"precision": 0.8224972844662122,
|
| 1240 |
+
"recall": 0.8086587207272479,
|
| 1241 |
+
"support": 29841.0
|
| 1242 |
+
},
|
| 1243 |
+
"eval_runtime": 4.7958,
|
| 1244 |
+
"eval_samples_per_second": 16.681,
|
| 1245 |
+
"eval_steps_per_second": 2.085,
|
| 1246 |
"eval_weighted avg": {
|
| 1247 |
+
"f1-score": 0.8542811867471567,
|
| 1248 |
+
"precision": 0.8540126205927153,
|
| 1249 |
+
"recall": 0.8557018866659964,
|
| 1250 |
+
"support": 29841.0
|
| 1251 |
},
|
| 1252 |
"step": 2187
|
| 1253 |
},
|
| 1254 |
{
|
| 1255 |
"epoch": 28.0,
|
| 1256 |
"eval_Claim": {
|
| 1257 |
+
"f1-score": 0.6397700895324416,
|
| 1258 |
+
"precision": 0.644543429844098,
|
| 1259 |
+
"recall": 0.6350669299978056,
|
| 1260 |
+
"support": 4557.0
|
| 1261 |
},
|
| 1262 |
"eval_MajorClaim": {
|
| 1263 |
+
"f1-score": 0.8197434224831485,
|
| 1264 |
+
"precision": 0.8090128755364807,
|
| 1265 |
+
"recall": 0.8307624504186867,
|
| 1266 |
+
"support": 2269.0
|
| 1267 |
},
|
| 1268 |
"eval_O": {
|
| 1269 |
+
"f1-score": 0.9052350945225399,
|
| 1270 |
+
"precision": 0.9310731646516266,
|
| 1271 |
+
"recall": 0.8807923593915812,
|
| 1272 |
+
"support": 8481.0
|
| 1273 |
},
|
| 1274 |
"eval_Premise": {
|
| 1275 |
+
"f1-score": 0.9018691588785046,
|
| 1276 |
+
"precision": 0.8879183891185491,
|
| 1277 |
+
"recall": 0.916265308930783,
|
| 1278 |
+
"support": 14534.0
|
| 1279 |
},
|
| 1280 |
+
"eval_accuracy": 0.856740725846989,
|
| 1281 |
+
"eval_loss": 1.153747797012329,
|
| 1282 |
"eval_macro avg": {
|
| 1283 |
+
"f1-score": 0.8166544413541587,
|
| 1284 |
+
"precision": 0.8181369647876886,
|
| 1285 |
+
"recall": 0.815721762184714,
|
| 1286 |
+
"support": 29841.0
|
| 1287 |
+
},
|
| 1288 |
+
"eval_runtime": 4.8135,
|
| 1289 |
+
"eval_samples_per_second": 16.62,
|
| 1290 |
+
"eval_steps_per_second": 2.077,
|
| 1291 |
"eval_weighted avg": {
|
| 1292 |
+
"f1-score": 0.8565562586843419,
|
| 1293 |
+
"precision": 0.8570179283955386,
|
| 1294 |
+
"recall": 0.856740725846989,
|
| 1295 |
+
"support": 29841.0
|
| 1296 |
},
|
| 1297 |
"step": 2268
|
| 1298 |
},
|
| 1299 |
{
|
| 1300 |
"epoch": 29.0,
|
| 1301 |
"eval_Claim": {
|
| 1302 |
+
"f1-score": 0.6479684334008745,
|
| 1303 |
+
"precision": 0.6302904564315353,
|
| 1304 |
+
"recall": 0.6666666666666666,
|
| 1305 |
+
"support": 4557.0
|
| 1306 |
},
|
| 1307 |
"eval_MajorClaim": {
|
| 1308 |
+
"f1-score": 0.8285593934288121,
|
| 1309 |
+
"precision": 0.7934651068979427,
|
| 1310 |
+
"recall": 0.8669017188188629,
|
| 1311 |
+
"support": 2269.0
|
| 1312 |
},
|
| 1313 |
"eval_O": {
|
| 1314 |
+
"f1-score": 0.9062767649577879,
|
| 1315 |
+
"precision": 0.9417673235855054,
|
| 1316 |
+
"recall": 0.8733639900955076,
|
| 1317 |
+
"support": 8481.0
|
| 1318 |
},
|
| 1319 |
"eval_Premise": {
|
| 1320 |
+
"f1-score": 0.8984971414877958,
|
| 1321 |
+
"precision": 0.8941200517816993,
|
| 1322 |
+
"recall": 0.9029172973716802,
|
| 1323 |
+
"support": 14534.0
|
| 1324 |
},
|
| 1325 |
+
"eval_accuracy": 0.8557018866659964,
|
| 1326 |
+
"eval_loss": 1.141819953918457,
|
| 1327 |
"eval_macro avg": {
|
| 1328 |
+
"f1-score": 0.8203254333188175,
|
| 1329 |
+
"precision": 0.8149107346741707,
|
| 1330 |
+
"recall": 0.8274624182381793,
|
| 1331 |
+
"support": 29841.0
|
| 1332 |
+
},
|
| 1333 |
+
"eval_runtime": 4.7777,
|
| 1334 |
+
"eval_samples_per_second": 16.744,
|
| 1335 |
+
"eval_steps_per_second": 2.093,
|
| 1336 |
"eval_weighted avg": {
|
| 1337 |
+
"f1-score": 0.857132271461693,
|
| 1338 |
+
"precision": 0.8597190255498753,
|
| 1339 |
+
"recall": 0.8557018866659964,
|
| 1340 |
+
"support": 29841.0
|
| 1341 |
},
|
| 1342 |
"step": 2349
|
| 1343 |
},
|
| 1344 |
{
|
| 1345 |
"epoch": 30.0,
|
| 1346 |
"eval_Claim": {
|
| 1347 |
+
"f1-score": 0.6132195178221248,
|
| 1348 |
+
"precision": 0.6464007782101168,
|
| 1349 |
+
"recall": 0.5832784726793944,
|
| 1350 |
+
"support": 4557.0
|
| 1351 |
},
|
| 1352 |
"eval_MajorClaim": {
|
| 1353 |
+
"f1-score": 0.8116131848941279,
|
| 1354 |
+
"precision": 0.8040657439446367,
|
| 1355 |
+
"recall": 0.8193036579991185,
|
| 1356 |
+
"support": 2269.0
|
| 1357 |
},
|
| 1358 |
"eval_O": {
|
| 1359 |
+
"f1-score": 0.9048840121653051,
|
| 1360 |
+
"precision": 0.9154198841698842,
|
| 1361 |
+
"recall": 0.8945879023700035,
|
| 1362 |
+
"support": 8481.0
|
| 1363 |
},
|
| 1364 |
"eval_Premise": {
|
| 1365 |
+
"f1-score": 0.9030779085055456,
|
| 1366 |
+
"precision": 0.8853195849031661,
|
| 1367 |
+
"recall": 0.9215632310444475,
|
| 1368 |
+
"support": 14534.0
|
| 1369 |
},
|
| 1370 |
+
"eval_accuracy": 0.8544619818370698,
|
| 1371 |
+
"eval_loss": 1.1914094686508179,
|
| 1372 |
"eval_macro avg": {
|
| 1373 |
+
"f1-score": 0.8081986558467759,
|
| 1374 |
+
"precision": 0.8128014978069509,
|
| 1375 |
+
"recall": 0.804683316023241,
|
| 1376 |
+
"support": 29841.0
|
| 1377 |
+
},
|
| 1378 |
+
"eval_runtime": 4.773,
|
| 1379 |
+
"eval_samples_per_second": 16.761,
|
| 1380 |
+
"eval_steps_per_second": 2.095,
|
| 1381 |
"eval_weighted avg": {
|
| 1382 |
+
"f1-score": 0.8523724837851865,
|
| 1383 |
+
"precision": 0.8512108978901942,
|
| 1384 |
+
"recall": 0.8544619818370698,
|
| 1385 |
+
"support": 29841.0
|
| 1386 |
},
|
| 1387 |
"step": 2430
|
| 1388 |
},
|
| 1389 |
{
|
| 1390 |
"epoch": 30.86,
|
| 1391 |
+
"grad_norm": 0.007714413572102785,
|
| 1392 |
"learning_rate": 7.654320987654322e-06,
|
| 1393 |
+
"loss": 0.0028,
|
| 1394 |
"step": 2500
|
| 1395 |
},
|
| 1396 |
{
|
| 1397 |
"epoch": 31.0,
|
| 1398 |
"eval_Claim": {
|
| 1399 |
+
"f1-score": 0.6275360746446783,
|
| 1400 |
+
"precision": 0.6206008583690987,
|
| 1401 |
+
"recall": 0.6346280447662936,
|
| 1402 |
+
"support": 4557.0
|
| 1403 |
},
|
| 1404 |
"eval_MajorClaim": {
|
| 1405 |
+
"f1-score": 0.8174338447854126,
|
| 1406 |
+
"precision": 0.8249551166965888,
|
| 1407 |
+
"recall": 0.8100484795063905,
|
| 1408 |
+
"support": 2269.0
|
| 1409 |
},
|
| 1410 |
"eval_O": {
|
| 1411 |
+
"f1-score": 0.9020403293163107,
|
| 1412 |
+
"precision": 0.9129332206255283,
|
| 1413 |
+
"recall": 0.8914043155288291,
|
| 1414 |
+
"support": 8481.0
|
| 1415 |
},
|
| 1416 |
"eval_Premise": {
|
| 1417 |
+
"f1-score": 0.8989933575292748,
|
| 1418 |
+
"precision": 0.8947655398037078,
|
| 1419 |
+
"recall": 0.9032613182881519,
|
| 1420 |
+
"support": 14534.0
|
| 1421 |
},
|
| 1422 |
+
"eval_accuracy": 0.8517811065312825,
|
| 1423 |
+
"eval_loss": 1.231397271156311,
|
| 1424 |
"eval_macro avg": {
|
| 1425 |
+
"f1-score": 0.8115009015689192,
|
| 1426 |
+
"precision": 0.8133136838737309,
|
| 1427 |
+
"recall": 0.8098355395224164,
|
| 1428 |
+
"support": 29841.0
|
| 1429 |
+
},
|
| 1430 |
+
"eval_runtime": 4.7995,
|
| 1431 |
+
"eval_samples_per_second": 16.668,
|
| 1432 |
+
"eval_steps_per_second": 2.084,
|
| 1433 |
"eval_weighted avg": {
|
| 1434 |
+
"f1-score": 0.8522037725691503,
|
| 1435 |
+
"precision": 0.8527532680206674,
|
| 1436 |
+
"recall": 0.8517811065312825,
|
| 1437 |
+
"support": 29841.0
|
| 1438 |
},
|
| 1439 |
"step": 2511
|
| 1440 |
},
|
| 1441 |
{
|
| 1442 |
"epoch": 32.0,
|
| 1443 |
"eval_Claim": {
|
| 1444 |
+
"f1-score": 0.6187466523835029,
|
| 1445 |
+
"precision": 0.6044370029300963,
|
| 1446 |
+
"recall": 0.6337502743032697,
|
| 1447 |
+
"support": 4557.0
|
| 1448 |
},
|
| 1449 |
"eval_MajorClaim": {
|
| 1450 |
+
"f1-score": 0.8172382671480145,
|
| 1451 |
+
"precision": 0.8372630605640314,
|
| 1452 |
+
"recall": 0.7981489643014544,
|
| 1453 |
+
"support": 2269.0
|
| 1454 |
},
|
| 1455 |
"eval_O": {
|
| 1456 |
+
"f1-score": 0.9010989010989012,
|
| 1457 |
+
"precision": 0.9079482882451521,
|
| 1458 |
+
"recall": 0.8943520811225092,
|
| 1459 |
+
"support": 8481.0
|
| 1460 |
},
|
| 1461 |
"eval_Premise": {
|
| 1462 |
+
"f1-score": 0.8937414030261347,
|
| 1463 |
+
"precision": 0.8933727485219304,
|
| 1464 |
+
"recall": 0.8941103619100041,
|
| 1465 |
+
"support": 14534.0
|
| 1466 |
},
|
| 1467 |
+
"eval_accuracy": 0.847123085687477,
|
| 1468 |
+
"eval_loss": 1.2467483282089233,
|
| 1469 |
"eval_macro avg": {
|
| 1470 |
+
"f1-score": 0.8077063059141383,
|
| 1471 |
+
"precision": 0.8107552750653025,
|
| 1472 |
+
"recall": 0.8050904204093093,
|
| 1473 |
+
"support": 29841.0
|
| 1474 |
+
},
|
| 1475 |
+
"eval_runtime": 4.804,
|
| 1476 |
+
"eval_samples_per_second": 16.653,
|
| 1477 |
+
"eval_steps_per_second": 2.082,
|
| 1478 |
"eval_weighted avg": {
|
| 1479 |
+
"f1-score": 0.8480211606471663,
|
| 1480 |
+
"precision": 0.8491256414462351,
|
| 1481 |
+
"recall": 0.847123085687477,
|
| 1482 |
+
"support": 29841.0
|
| 1483 |
},
|
| 1484 |
"step": 2592
|
| 1485 |
},
|
| 1486 |
{
|
| 1487 |
"epoch": 33.0,
|
| 1488 |
"eval_Claim": {
|
| 1489 |
+
"f1-score": 0.6165579750193435,
|
| 1490 |
+
"precision": 0.6211581291759466,
|
| 1491 |
+
"recall": 0.6120254553434277,
|
| 1492 |
+
"support": 4557.0
|
| 1493 |
},
|
| 1494 |
"eval_MajorClaim": {
|
| 1495 |
+
"f1-score": 0.8063751884557399,
|
| 1496 |
+
"precision": 0.7885425442291492,
|
| 1497 |
+
"recall": 0.8250330542089026,
|
| 1498 |
+
"support": 2269.0
|
| 1499 |
},
|
| 1500 |
"eval_O": {
|
| 1501 |
+
"f1-score": 0.905199879771566,
|
| 1502 |
+
"precision": 0.9233505028207015,
|
| 1503 |
+
"recall": 0.8877490861926659,
|
| 1504 |
+
"support": 8481.0
|
| 1505 |
},
|
| 1506 |
"eval_Premise": {
|
| 1507 |
+
"f1-score": 0.897230643458119,
|
| 1508 |
+
"precision": 0.8884841125278283,
|
| 1509 |
+
"recall": 0.9061510939865144,
|
| 1510 |
+
"support": 14534.0
|
| 1511 |
},
|
| 1512 |
+
"eval_accuracy": 0.8498374719345867,
|
| 1513 |
+
"eval_loss": 1.2608078718185425,
|
| 1514 |
"eval_macro avg": {
|
| 1515 |
+
"f1-score": 0.8063409216761921,
|
| 1516 |
+
"precision": 0.8053838221884064,
|
| 1517 |
+
"recall": 0.8077396724328777,
|
| 1518 |
+
"support": 29841.0
|
| 1519 |
+
},
|
| 1520 |
+
"eval_runtime": 4.7947,
|
| 1521 |
+
"eval_samples_per_second": 16.685,
|
| 1522 |
+
"eval_steps_per_second": 2.086,
|
| 1523 |
"eval_weighted avg": {
|
| 1524 |
+
"f1-score": 0.8497258921327092,
|
| 1525 |
+
"precision": 0.8499709906977834,
|
| 1526 |
+
"recall": 0.8498374719345867,
|
| 1527 |
+
"support": 29841.0
|
| 1528 |
},
|
| 1529 |
"step": 2673
|
| 1530 |
},
|
| 1531 |
{
|
| 1532 |
"epoch": 34.0,
|
| 1533 |
"eval_Claim": {
|
| 1534 |
+
"f1-score": 0.6242761692650335,
|
| 1535 |
+
"precision": 0.633732760569749,
|
| 1536 |
+
"recall": 0.6150976519640114,
|
| 1537 |
+
"support": 4557.0
|
| 1538 |
},
|
| 1539 |
"eval_MajorClaim": {
|
| 1540 |
+
"f1-score": 0.8270332187857962,
|
| 1541 |
+
"precision": 0.8611641221374046,
|
| 1542 |
+
"recall": 0.7955046275892463,
|
| 1543 |
+
"support": 2269.0
|
| 1544 |
},
|
| 1545 |
"eval_O": {
|
| 1546 |
+
"f1-score": 0.9015324995596267,
|
| 1547 |
+
"precision": 0.8978947368421053,
|
| 1548 |
+
"recall": 0.9051998585072515,
|
| 1549 |
+
"support": 8481.0
|
| 1550 |
},
|
| 1551 |
"eval_Premise": {
|
| 1552 |
+
"f1-score": 0.8962669760458609,
|
| 1553 |
+
"precision": 0.8890468453831574,
|
| 1554 |
+
"recall": 0.9036053392046236,
|
| 1555 |
+
"support": 14534.0
|
| 1556 |
},
|
| 1557 |
+
"eval_accuracy": 0.8517811065312825,
|
| 1558 |
+
"eval_loss": 1.2305262088775635,
|
| 1559 |
"eval_macro avg": {
|
| 1560 |
+
"f1-score": 0.8122772159140793,
|
| 1561 |
+
"precision": 0.820459616233104,
|
| 1562 |
+
"recall": 0.8048518693162833,
|
| 1563 |
+
"support": 29841.0
|
| 1564 |
+
},
|
| 1565 |
+
"eval_runtime": 4.7809,
|
| 1566 |
+
"eval_samples_per_second": 16.733,
|
| 1567 |
+
"eval_steps_per_second": 2.092,
|
| 1568 |
"eval_weighted avg": {
|
| 1569 |
+
"f1-score": 0.8509636485165197,
|
| 1570 |
+
"precision": 0.8504525215978962,
|
| 1571 |
+
"recall": 0.8517811065312825,
|
| 1572 |
+
"support": 29841.0
|
| 1573 |
},
|
| 1574 |
"step": 2754
|
| 1575 |
},
|
| 1576 |
{
|
| 1577 |
"epoch": 35.0,
|
| 1578 |
"eval_Claim": {
|
| 1579 |
+
"f1-score": 0.633076593923834,
|
| 1580 |
+
"precision": 0.6176163640158631,
|
| 1581 |
+
"recall": 0.6493307000219443,
|
| 1582 |
+
"support": 4557.0
|
| 1583 |
},
|
| 1584 |
"eval_MajorClaim": {
|
| 1585 |
+
"f1-score": 0.8311867525298988,
|
| 1586 |
+
"precision": 0.8691678691678691,
|
| 1587 |
+
"recall": 0.7963860731599823,
|
| 1588 |
+
"support": 2269.0
|
| 1589 |
},
|
| 1590 |
"eval_O": {
|
| 1591 |
+
"f1-score": 0.9039272770483037,
|
| 1592 |
+
"precision": 0.9110179640718563,
|
| 1593 |
+
"recall": 0.8969461148449476,
|
| 1594 |
+
"support": 8481.0
|
| 1595 |
},
|
| 1596 |
"eval_Premise": {
|
| 1597 |
+
"f1-score": 0.8963128108386212,
|
| 1598 |
+
"precision": 0.8936461254360167,
|
| 1599 |
+
"recall": 0.8989954589239025,
|
| 1600 |
+
"support": 14534.0
|
| 1601 |
},
|
| 1602 |
+
"eval_accuracy": 0.8524848362990516,
|
| 1603 |
+
"eval_loss": 1.2047479152679443,
|
| 1604 |
"eval_macro avg": {
|
| 1605 |
+
"f1-score": 0.8161258585851644,
|
| 1606 |
+
"precision": 0.8228620806729012,
|
| 1607 |
+
"recall": 0.8104145867376942,
|
| 1608 |
+
"support": 29841.0
|
| 1609 |
+
},
|
| 1610 |
+
"eval_runtime": 4.7907,
|
| 1611 |
+
"eval_samples_per_second": 16.699,
|
| 1612 |
+
"eval_steps_per_second": 2.087,
|
| 1613 |
"eval_weighted avg": {
|
| 1614 |
+
"f1-score": 0.8533263097542454,
|
| 1615 |
+
"precision": 0.8545697465347227,
|
| 1616 |
+
"recall": 0.8524848362990516,
|
| 1617 |
+
"support": 29841.0
|
| 1618 |
},
|
| 1619 |
"step": 2835
|
| 1620 |
}
|
|
|
|
| 1624 |
"num_input_tokens_seen": 0,
|
| 1625 |
"num_train_epochs": 50,
|
| 1626 |
"save_steps": 500,
|
| 1627 |
+
"total_flos": 5032605645438000.0,
|
| 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 sha256:19f05e33d3889e7c1ce1bf18bf9e16659f52e74109a304d618b5d09955736add
|
| 3 |
size 4856
|