Training in progress, epoch 12, checkpoint
Browse files- checkpoint-492/model.safetensors +1 -1
- checkpoint-492/optimizer.pt +1 -1
- checkpoint-492/rng_state.pth +1 -1
- checkpoint-492/trainer_state.json +361 -361
- checkpoint-492/training_args.bin +1 -1
checkpoint-492/model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 592324828
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a69e6ea5750d150ff1dd4ce0fc02f96f3acc47be838d2c909f35f2ad669195b9
|
| 3 |
size 592324828
|
checkpoint-492/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1014657786
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fbe87b27ef7dc6558599788bf7c725a37cd83a22683b28b897ec393311785eef
|
| 3 |
size 1014657786
|
checkpoint-492/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 sha256:1c189466643703424c77db24cb1c70bb1b76b65752ddeeaa3d7bb424b6ea3dcb
|
| 3 |
size 14244
|
checkpoint-492/trainer_state.json
CHANGED
|
@@ -11,540 +11,540 @@
|
|
| 11 |
{
|
| 12 |
"epoch": 1.0,
|
| 13 |
"eval_Claim": {
|
| 14 |
-
"f1-score": 0.
|
| 15 |
-
"precision": 0.
|
| 16 |
-
"recall": 0.
|
| 17 |
-
"support":
|
| 18 |
},
|
| 19 |
"eval_MajorClaim": {
|
| 20 |
-
"f1-score": 0.
|
| 21 |
-
"precision": 0.
|
| 22 |
-
"recall": 0.
|
| 23 |
-
"support":
|
| 24 |
},
|
| 25 |
"eval_O": {
|
| 26 |
-
"f1-score": 0.
|
| 27 |
-
"precision": 0.
|
| 28 |
-
"recall": 0.
|
| 29 |
-
"support":
|
| 30 |
},
|
| 31 |
"eval_Premise": {
|
| 32 |
-
"f1-score": 0.
|
| 33 |
-
"precision": 0.
|
| 34 |
-
"recall": 0.
|
| 35 |
-
"support":
|
| 36 |
},
|
| 37 |
-
"eval_accuracy": 0.
|
| 38 |
-
"eval_loss": 0.
|
| 39 |
"eval_macro avg": {
|
| 40 |
-
"f1-score": 0.
|
| 41 |
-
"precision": 0.
|
| 42 |
-
"recall": 0.
|
| 43 |
-
"support":
|
| 44 |
-
},
|
| 45 |
-
"eval_runtime": 1.
|
| 46 |
-
"eval_samples_per_second":
|
| 47 |
-
"eval_steps_per_second": 7.
|
| 48 |
"eval_weighted avg": {
|
| 49 |
-
"f1-score": 0.
|
| 50 |
-
"precision": 0.
|
| 51 |
-
"recall": 0.
|
| 52 |
-
"support":
|
| 53 |
},
|
| 54 |
"step": 41
|
| 55 |
},
|
| 56 |
{
|
| 57 |
"epoch": 2.0,
|
| 58 |
"eval_Claim": {
|
| 59 |
-
"f1-score": 0.
|
| 60 |
-
"precision": 0.
|
| 61 |
-
"recall": 0.
|
| 62 |
-
"support":
|
| 63 |
},
|
| 64 |
"eval_MajorClaim": {
|
| 65 |
-
"f1-score": 0.
|
| 66 |
-
"precision": 0.
|
| 67 |
-
"recall": 0.
|
| 68 |
-
"support":
|
| 69 |
},
|
| 70 |
"eval_O": {
|
| 71 |
-
"f1-score": 0.
|
| 72 |
-
"precision": 0.
|
| 73 |
-
"recall": 0.
|
| 74 |
-
"support":
|
| 75 |
},
|
| 76 |
"eval_Premise": {
|
| 77 |
-
"f1-score": 0.
|
| 78 |
-
"precision": 0.
|
| 79 |
-
"recall": 0.
|
| 80 |
-
"support":
|
| 81 |
},
|
| 82 |
-
"eval_accuracy": 0.
|
| 83 |
-
"eval_loss": 0.
|
| 84 |
"eval_macro avg": {
|
| 85 |
-
"f1-score": 0.
|
| 86 |
-
"precision": 0.
|
| 87 |
-
"recall": 0.
|
| 88 |
-
"support":
|
| 89 |
-
},
|
| 90 |
-
"eval_runtime": 1.
|
| 91 |
-
"eval_samples_per_second":
|
| 92 |
-
"eval_steps_per_second": 7.
|
| 93 |
"eval_weighted avg": {
|
| 94 |
-
"f1-score": 0.
|
| 95 |
-
"precision": 0.
|
| 96 |
-
"recall": 0.
|
| 97 |
-
"support":
|
| 98 |
},
|
| 99 |
"step": 82
|
| 100 |
},
|
| 101 |
{
|
| 102 |
"epoch": 3.0,
|
| 103 |
"eval_Claim": {
|
| 104 |
-
"f1-score": 0.
|
| 105 |
-
"precision": 0.
|
| 106 |
-
"recall": 0.
|
| 107 |
-
"support":
|
| 108 |
},
|
| 109 |
"eval_MajorClaim": {
|
| 110 |
-
"f1-score": 0.
|
| 111 |
-
"precision": 0.
|
| 112 |
-
"recall": 0.
|
| 113 |
-
"support":
|
| 114 |
},
|
| 115 |
"eval_O": {
|
| 116 |
-
"f1-score": 0.
|
| 117 |
-
"precision": 0.
|
| 118 |
-
"recall": 0.
|
| 119 |
-
"support":
|
| 120 |
},
|
| 121 |
"eval_Premise": {
|
| 122 |
-
"f1-score": 0.
|
| 123 |
-
"precision": 0.
|
| 124 |
-
"recall": 0.
|
| 125 |
-
"support":
|
| 126 |
},
|
| 127 |
-
"eval_accuracy": 0.
|
| 128 |
-
"eval_loss": 0.
|
| 129 |
"eval_macro avg": {
|
| 130 |
-
"f1-score": 0.
|
| 131 |
-
"precision": 0.
|
| 132 |
-
"recall": 0.
|
| 133 |
-
"support":
|
| 134 |
-
},
|
| 135 |
-
"eval_runtime": 1.
|
| 136 |
-
"eval_samples_per_second":
|
| 137 |
-
"eval_steps_per_second": 7.
|
| 138 |
"eval_weighted avg": {
|
| 139 |
-
"f1-score": 0.
|
| 140 |
-
"precision": 0.
|
| 141 |
-
"recall": 0.
|
| 142 |
-
"support":
|
| 143 |
},
|
| 144 |
"step": 123
|
| 145 |
},
|
| 146 |
{
|
| 147 |
"epoch": 4.0,
|
| 148 |
"eval_Claim": {
|
| 149 |
-
"f1-score": 0.
|
| 150 |
-
"precision": 0.
|
| 151 |
-
"recall": 0.
|
| 152 |
-
"support":
|
| 153 |
},
|
| 154 |
"eval_MajorClaim": {
|
| 155 |
-
"f1-score": 0.
|
| 156 |
-
"precision": 0.
|
| 157 |
-
"recall": 0.
|
| 158 |
-
"support":
|
| 159 |
},
|
| 160 |
"eval_O": {
|
| 161 |
-
"f1-score": 0.
|
| 162 |
-
"precision": 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": 1.
|
| 181 |
-
"eval_samples_per_second":
|
| 182 |
-
"eval_steps_per_second": 7.
|
| 183 |
"eval_weighted avg": {
|
| 184 |
-
"f1-score": 0.
|
| 185 |
-
"precision": 0.
|
| 186 |
-
"recall": 0.
|
| 187 |
-
"support":
|
| 188 |
},
|
| 189 |
"step": 164
|
| 190 |
},
|
| 191 |
{
|
| 192 |
"epoch": 5.0,
|
| 193 |
"eval_Claim": {
|
| 194 |
-
"f1-score": 0.
|
| 195 |
-
"precision": 0.
|
| 196 |
-
"recall": 0.
|
| 197 |
-
"support":
|
| 198 |
},
|
| 199 |
"eval_MajorClaim": {
|
| 200 |
-
"f1-score": 0.
|
| 201 |
-
"precision": 0.
|
| 202 |
-
"recall": 0.
|
| 203 |
-
"support":
|
| 204 |
},
|
| 205 |
"eval_O": {
|
| 206 |
-
"f1-score": 0.
|
| 207 |
-
"precision": 0.
|
| 208 |
-
"recall": 0.
|
| 209 |
-
"support":
|
| 210 |
},
|
| 211 |
"eval_Premise": {
|
| 212 |
-
"f1-score": 0.
|
| 213 |
-
"precision": 0.
|
| 214 |
-
"recall": 0.
|
| 215 |
-
"support":
|
| 216 |
},
|
| 217 |
-
"eval_accuracy": 0.
|
| 218 |
-
"eval_loss": 0.
|
| 219 |
"eval_macro avg": {
|
| 220 |
-
"f1-score": 0.
|
| 221 |
-
"precision": 0.
|
| 222 |
-
"recall": 0.
|
| 223 |
-
"support":
|
| 224 |
-
},
|
| 225 |
-
"eval_runtime": 1.
|
| 226 |
-
"eval_samples_per_second":
|
| 227 |
-
"eval_steps_per_second": 7.
|
| 228 |
"eval_weighted avg": {
|
| 229 |
-
"f1-score": 0.
|
| 230 |
-
"precision": 0.
|
| 231 |
-
"recall": 0.
|
| 232 |
-
"support":
|
| 233 |
},
|
| 234 |
"step": 205
|
| 235 |
},
|
| 236 |
{
|
| 237 |
"epoch": 6.0,
|
| 238 |
"eval_Claim": {
|
| 239 |
-
"f1-score": 0.
|
| 240 |
-
"precision": 0.
|
| 241 |
-
"recall": 0.
|
| 242 |
-
"support":
|
| 243 |
},
|
| 244 |
"eval_MajorClaim": {
|
| 245 |
-
"f1-score": 0.
|
| 246 |
-
"precision": 0.
|
| 247 |
-
"recall": 0.
|
| 248 |
-
"support":
|
| 249 |
},
|
| 250 |
"eval_O": {
|
| 251 |
-
"f1-score": 0.
|
| 252 |
-
"precision": 0.
|
| 253 |
-
"recall": 0.
|
| 254 |
-
"support":
|
| 255 |
},
|
| 256 |
"eval_Premise": {
|
| 257 |
-
"f1-score": 0.
|
| 258 |
-
"precision": 0.
|
| 259 |
-
"recall": 0.
|
| 260 |
-
"support":
|
| 261 |
},
|
| 262 |
-
"eval_accuracy": 0.
|
| 263 |
-
"eval_loss": 0.
|
| 264 |
"eval_macro avg": {
|
| 265 |
-
"f1-score": 0.
|
| 266 |
-
"precision": 0.
|
| 267 |
-
"recall": 0.
|
| 268 |
-
"support":
|
| 269 |
-
},
|
| 270 |
-
"eval_runtime": 1.
|
| 271 |
-
"eval_samples_per_second":
|
| 272 |
-
"eval_steps_per_second": 7.
|
| 273 |
"eval_weighted avg": {
|
| 274 |
-
"f1-score": 0.
|
| 275 |
-
"precision": 0.
|
| 276 |
-
"recall": 0.
|
| 277 |
-
"support":
|
| 278 |
},
|
| 279 |
"step": 246
|
| 280 |
},
|
| 281 |
{
|
| 282 |
"epoch": 7.0,
|
| 283 |
"eval_Claim": {
|
| 284 |
-
"f1-score": 0.
|
| 285 |
-
"precision": 0.
|
| 286 |
-
"recall": 0.
|
| 287 |
-
"support":
|
| 288 |
},
|
| 289 |
"eval_MajorClaim": {
|
| 290 |
-
"f1-score": 0.
|
| 291 |
-
"precision": 0.
|
| 292 |
-
"recall": 0.
|
| 293 |
-
"support":
|
| 294 |
},
|
| 295 |
"eval_O": {
|
| 296 |
-
"f1-score": 0.
|
| 297 |
-
"precision": 0.
|
| 298 |
-
"recall": 0.
|
| 299 |
-
"support":
|
| 300 |
},
|
| 301 |
"eval_Premise": {
|
| 302 |
-
"f1-score": 0.
|
| 303 |
-
"precision": 0.
|
| 304 |
-
"recall": 0.
|
| 305 |
-
"support":
|
| 306 |
},
|
| 307 |
-
"eval_accuracy": 0.
|
| 308 |
-
"eval_loss": 0.
|
| 309 |
"eval_macro avg": {
|
| 310 |
-
"f1-score": 0.
|
| 311 |
-
"precision": 0.
|
| 312 |
-
"recall": 0.
|
| 313 |
-
"support":
|
| 314 |
-
},
|
| 315 |
-
"eval_runtime": 1.
|
| 316 |
-
"eval_samples_per_second":
|
| 317 |
-
"eval_steps_per_second": 7.
|
| 318 |
"eval_weighted avg": {
|
| 319 |
-
"f1-score": 0.
|
| 320 |
-
"precision": 0.
|
| 321 |
-
"recall": 0.
|
| 322 |
-
"support":
|
| 323 |
},
|
| 324 |
"step": 287
|
| 325 |
},
|
| 326 |
{
|
| 327 |
"epoch": 8.0,
|
| 328 |
"eval_Claim": {
|
| 329 |
-
"f1-score": 0.
|
| 330 |
-
"precision": 0.
|
| 331 |
-
"recall": 0.
|
| 332 |
-
"support":
|
| 333 |
},
|
| 334 |
"eval_MajorClaim": {
|
| 335 |
-
"f1-score": 0.
|
| 336 |
-
"precision": 0.
|
| 337 |
-
"recall": 0.
|
| 338 |
-
"support":
|
| 339 |
},
|
| 340 |
"eval_O": {
|
| 341 |
-
"f1-score": 0.
|
| 342 |
-
"precision": 0.
|
| 343 |
-
"recall": 0.
|
| 344 |
-
"support":
|
| 345 |
},
|
| 346 |
"eval_Premise": {
|
| 347 |
-
"f1-score": 0.
|
| 348 |
-
"precision": 0.
|
| 349 |
-
"recall": 0.
|
| 350 |
-
"support":
|
| 351 |
},
|
| 352 |
-
"eval_accuracy": 0.
|
| 353 |
-
"eval_loss": 0.
|
| 354 |
"eval_macro avg": {
|
| 355 |
-
"f1-score": 0.
|
| 356 |
-
"precision": 0.
|
| 357 |
-
"recall": 0.
|
| 358 |
-
"support":
|
| 359 |
-
},
|
| 360 |
-
"eval_runtime": 1.
|
| 361 |
-
"eval_samples_per_second":
|
| 362 |
-
"eval_steps_per_second": 7.
|
| 363 |
"eval_weighted avg": {
|
| 364 |
-
"f1-score": 0.
|
| 365 |
-
"precision": 0.
|
| 366 |
-
"recall": 0.
|
| 367 |
-
"support":
|
| 368 |
},
|
| 369 |
"step": 328
|
| 370 |
},
|
| 371 |
{
|
| 372 |
"epoch": 9.0,
|
| 373 |
"eval_Claim": {
|
| 374 |
-
"f1-score": 0.
|
| 375 |
-
"precision": 0.
|
| 376 |
-
"recall": 0.
|
| 377 |
-
"support":
|
| 378 |
},
|
| 379 |
"eval_MajorClaim": {
|
| 380 |
-
"f1-score": 0.
|
| 381 |
-
"precision": 0.
|
| 382 |
-
"recall": 0.
|
| 383 |
-
"support":
|
| 384 |
},
|
| 385 |
"eval_O": {
|
| 386 |
-
"f1-score": 0.
|
| 387 |
-
"precision": 0.
|
| 388 |
-
"recall": 0.
|
| 389 |
-
"support":
|
| 390 |
},
|
| 391 |
"eval_Premise": {
|
| 392 |
-
"f1-score": 0.
|
| 393 |
-
"precision": 0.
|
| 394 |
-
"recall": 0.
|
| 395 |
-
"support":
|
| 396 |
},
|
| 397 |
-
"eval_accuracy": 0.
|
| 398 |
-
"eval_loss": 0.
|
| 399 |
"eval_macro avg": {
|
| 400 |
-
"f1-score": 0.
|
| 401 |
-
"precision": 0.
|
| 402 |
-
"recall": 0.
|
| 403 |
-
"support":
|
| 404 |
-
},
|
| 405 |
-
"eval_runtime": 1.
|
| 406 |
-
"eval_samples_per_second":
|
| 407 |
-
"eval_steps_per_second": 7.
|
| 408 |
"eval_weighted avg": {
|
| 409 |
-
"f1-score": 0.
|
| 410 |
-
"precision": 0.
|
| 411 |
-
"recall": 0.
|
| 412 |
-
"support":
|
| 413 |
},
|
| 414 |
"step": 369
|
| 415 |
},
|
| 416 |
{
|
| 417 |
"epoch": 10.0,
|
| 418 |
"eval_Claim": {
|
| 419 |
-
"f1-score": 0.
|
| 420 |
-
"precision": 0.
|
| 421 |
-
"recall": 0.
|
| 422 |
-
"support":
|
| 423 |
},
|
| 424 |
"eval_MajorClaim": {
|
| 425 |
-
"f1-score": 0.
|
| 426 |
-
"precision": 0.
|
| 427 |
-
"recall": 0.
|
| 428 |
-
"support":
|
| 429 |
},
|
| 430 |
"eval_O": {
|
| 431 |
-
"f1-score": 0.
|
| 432 |
-
"precision": 0.
|
| 433 |
-
"recall": 0.
|
| 434 |
-
"support":
|
| 435 |
},
|
| 436 |
"eval_Premise": {
|
| 437 |
-
"f1-score": 0.
|
| 438 |
-
"precision": 0.
|
| 439 |
-
"recall": 0.
|
| 440 |
-
"support":
|
| 441 |
},
|
| 442 |
-
"eval_accuracy": 0.
|
| 443 |
-
"eval_loss": 0.
|
| 444 |
"eval_macro avg": {
|
| 445 |
-
"f1-score": 0.
|
| 446 |
-
"precision": 0.
|
| 447 |
-
"recall": 0.
|
| 448 |
-
"support":
|
| 449 |
-
},
|
| 450 |
-
"eval_runtime": 1.
|
| 451 |
-
"eval_samples_per_second":
|
| 452 |
-
"eval_steps_per_second": 7.
|
| 453 |
"eval_weighted avg": {
|
| 454 |
-
"f1-score": 0.
|
| 455 |
-
"precision": 0.
|
| 456 |
-
"recall": 0.
|
| 457 |
-
"support":
|
| 458 |
},
|
| 459 |
"step": 410
|
| 460 |
},
|
| 461 |
{
|
| 462 |
"epoch": 11.0,
|
| 463 |
"eval_Claim": {
|
| 464 |
-
"f1-score": 0.
|
| 465 |
-
"precision": 0.
|
| 466 |
-
"recall": 0.
|
| 467 |
-
"support":
|
| 468 |
},
|
| 469 |
"eval_MajorClaim": {
|
| 470 |
-
"f1-score": 0.
|
| 471 |
-
"precision": 0.
|
| 472 |
-
"recall": 0.
|
| 473 |
-
"support":
|
| 474 |
},
|
| 475 |
"eval_O": {
|
| 476 |
-
"f1-score": 0.
|
| 477 |
-
"precision": 0.
|
| 478 |
-
"recall": 0.
|
| 479 |
-
"support":
|
| 480 |
},
|
| 481 |
"eval_Premise": {
|
| 482 |
-
"f1-score": 0.
|
| 483 |
-
"precision": 0.
|
| 484 |
-
"recall": 0.
|
| 485 |
-
"support":
|
| 486 |
},
|
| 487 |
-
"eval_accuracy": 0.
|
| 488 |
-
"eval_loss": 0.
|
| 489 |
"eval_macro avg": {
|
| 490 |
-
"f1-score": 0.
|
| 491 |
-
"precision": 0.
|
| 492 |
-
"recall": 0.
|
| 493 |
-
"support":
|
| 494 |
-
},
|
| 495 |
-
"eval_runtime": 1.
|
| 496 |
-
"eval_samples_per_second":
|
| 497 |
-
"eval_steps_per_second": 7.
|
| 498 |
"eval_weighted avg": {
|
| 499 |
-
"f1-score": 0.
|
| 500 |
-
"precision": 0.
|
| 501 |
-
"recall": 0.
|
| 502 |
-
"support":
|
| 503 |
},
|
| 504 |
"step": 451
|
| 505 |
},
|
| 506 |
{
|
| 507 |
"epoch": 12.0,
|
| 508 |
"eval_Claim": {
|
| 509 |
-
"f1-score": 0.
|
| 510 |
-
"precision": 0.
|
| 511 |
-
"recall": 0.
|
| 512 |
-
"support":
|
| 513 |
},
|
| 514 |
"eval_MajorClaim": {
|
| 515 |
-
"f1-score": 0.
|
| 516 |
-
"precision": 0.
|
| 517 |
-
"recall": 0.
|
| 518 |
-
"support":
|
| 519 |
},
|
| 520 |
"eval_O": {
|
| 521 |
-
"f1-score": 0.
|
| 522 |
-
"precision": 0.
|
| 523 |
-
"recall": 0.
|
| 524 |
-
"support":
|
| 525 |
},
|
| 526 |
"eval_Premise": {
|
| 527 |
-
"f1-score": 0.
|
| 528 |
-
"precision": 0.
|
| 529 |
-
"recall": 0.
|
| 530 |
-
"support":
|
| 531 |
},
|
| 532 |
-
"eval_accuracy": 0.
|
| 533 |
-
"eval_loss": 0.
|
| 534 |
"eval_macro avg": {
|
| 535 |
-
"f1-score": 0.
|
| 536 |
-
"precision": 0.
|
| 537 |
-
"recall": 0.
|
| 538 |
-
"support":
|
| 539 |
-
},
|
| 540 |
-
"eval_runtime": 1.
|
| 541 |
-
"eval_samples_per_second":
|
| 542 |
-
"eval_steps_per_second": 7.
|
| 543 |
"eval_weighted avg": {
|
| 544 |
-
"f1-score": 0.
|
| 545 |
-
"precision": 0.
|
| 546 |
-
"recall": 0.
|
| 547 |
-
"support":
|
| 548 |
},
|
| 549 |
"step": 492
|
| 550 |
}
|
|
@@ -554,7 +554,7 @@
|
|
| 554 |
"num_input_tokens_seen": 0,
|
| 555 |
"num_train_epochs": 16,
|
| 556 |
"save_steps": 500,
|
| 557 |
-
"total_flos":
|
| 558 |
"train_batch_size": 8,
|
| 559 |
"trial_name": null,
|
| 560 |
"trial_params": null
|
|
|
|
| 11 |
{
|
| 12 |
"epoch": 1.0,
|
| 13 |
"eval_Claim": {
|
| 14 |
+
"f1-score": 0.31881702957426067,
|
| 15 |
+
"precision": 0.49395770392749244,
|
| 16 |
+
"recall": 0.23536468330134358,
|
| 17 |
+
"support": 4168.0
|
| 18 |
},
|
| 19 |
"eval_MajorClaim": {
|
| 20 |
+
"f1-score": 0.5882107894188711,
|
| 21 |
+
"precision": 0.5330313325783315,
|
| 22 |
+
"recall": 0.6561338289962825,
|
| 23 |
+
"support": 2152.0
|
| 24 |
},
|
| 25 |
"eval_O": {
|
| 26 |
+
"f1-score": 0.8686845568461407,
|
| 27 |
+
"precision": 0.9200096957944491,
|
| 28 |
+
"recall": 0.82278343810969,
|
| 29 |
+
"support": 9226.0
|
| 30 |
},
|
| 31 |
"eval_Premise": {
|
| 32 |
+
"f1-score": 0.8547340147728121,
|
| 33 |
+
"precision": 0.777574153261386,
|
| 34 |
+
"recall": 0.9488942267870455,
|
| 35 |
+
"support": 12073.0
|
| 36 |
},
|
| 37 |
+
"eval_accuracy": 0.7762772004779318,
|
| 38 |
+
"eval_loss": 0.5690305829048157,
|
| 39 |
"eval_macro avg": {
|
| 40 |
+
"f1-score": 0.6576115976530211,
|
| 41 |
+
"precision": 0.6811432213904147,
|
| 42 |
+
"recall": 0.6657940442985903,
|
| 43 |
+
"support": 27619.0
|
| 44 |
+
},
|
| 45 |
+
"eval_runtime": 1.3776,
|
| 46 |
+
"eval_samples_per_second": 58.074,
|
| 47 |
+
"eval_steps_per_second": 7.259,
|
| 48 |
"eval_weighted avg": {
|
| 49 |
+
"f1-score": 0.7577517824653167,
|
| 50 |
+
"precision": 0.7632992267425562,
|
| 51 |
+
"recall": 0.7762772004779318,
|
| 52 |
+
"support": 27619.0
|
| 53 |
},
|
| 54 |
"step": 41
|
| 55 |
},
|
| 56 |
{
|
| 57 |
"epoch": 2.0,
|
| 58 |
"eval_Claim": {
|
| 59 |
+
"f1-score": 0.5093288777499304,
|
| 60 |
+
"precision": 0.6068347710683477,
|
| 61 |
+
"recall": 0.43881957773512476,
|
| 62 |
+
"support": 4168.0
|
| 63 |
},
|
| 64 |
"eval_MajorClaim": {
|
| 65 |
+
"f1-score": 0.7403386886669561,
|
| 66 |
+
"precision": 0.6947840260798696,
|
| 67 |
+
"recall": 0.7922862453531598,
|
| 68 |
+
"support": 2152.0
|
| 69 |
},
|
| 70 |
"eval_O": {
|
| 71 |
+
"f1-score": 0.8998096943915818,
|
| 72 |
+
"precision": 0.930324074074074,
|
| 73 |
+
"recall": 0.8712334706264904,
|
| 74 |
+
"support": 9226.0
|
| 75 |
},
|
| 76 |
"eval_Premise": {
|
| 77 |
+
"f1-score": 0.8735146966854284,
|
| 78 |
+
"precision": 0.8270298275479239,
|
| 79 |
+
"recall": 0.9255363207156465,
|
| 80 |
+
"support": 12073.0
|
| 81 |
},
|
| 82 |
+
"eval_accuracy": 0.823563488902567,
|
| 83 |
+
"eval_loss": 0.44297581911087036,
|
| 84 |
"eval_macro avg": {
|
| 85 |
+
"f1-score": 0.7557479893734742,
|
| 86 |
+
"precision": 0.7647431746925538,
|
| 87 |
+
"recall": 0.7569689036076054,
|
| 88 |
+
"support": 27619.0
|
| 89 |
+
},
|
| 90 |
+
"eval_runtime": 1.3774,
|
| 91 |
+
"eval_samples_per_second": 58.08,
|
| 92 |
+
"eval_steps_per_second": 7.26,
|
| 93 |
"eval_weighted avg": {
|
| 94 |
+
"f1-score": 0.8169621924766614,
|
| 95 |
+
"precision": 0.8180007808150275,
|
| 96 |
+
"recall": 0.823563488902567,
|
| 97 |
+
"support": 27619.0
|
| 98 |
},
|
| 99 |
"step": 82
|
| 100 |
},
|
| 101 |
{
|
| 102 |
"epoch": 3.0,
|
| 103 |
"eval_Claim": {
|
| 104 |
+
"f1-score": 0.6003528892809882,
|
| 105 |
+
"precision": 0.5555102040816327,
|
| 106 |
+
"recall": 0.6530710172744721,
|
| 107 |
+
"support": 4168.0
|
| 108 |
},
|
| 109 |
"eval_MajorClaim": {
|
| 110 |
+
"f1-score": 0.7456098718557191,
|
| 111 |
+
"precision": 0.7618816682832201,
|
| 112 |
+
"recall": 0.7300185873605948,
|
| 113 |
+
"support": 2152.0
|
| 114 |
},
|
| 115 |
"eval_O": {
|
| 116 |
+
"f1-score": 0.9073143179892686,
|
| 117 |
+
"precision": 0.9472815190470575,
|
| 118 |
+
"recall": 0.8705831346195534,
|
| 119 |
+
"support": 9226.0
|
| 120 |
},
|
| 121 |
"eval_Premise": {
|
| 122 |
+
"f1-score": 0.8768298214506619,
|
| 123 |
+
"precision": 0.8730497618656594,
|
| 124 |
+
"recall": 0.8806427565642343,
|
| 125 |
+
"support": 12073.0
|
| 126 |
},
|
| 127 |
+
"eval_accuracy": 0.8312031572468228,
|
| 128 |
+
"eval_loss": 0.42804914712905884,
|
| 129 |
"eval_macro avg": {
|
| 130 |
+
"f1-score": 0.7825267251441594,
|
| 131 |
+
"precision": 0.7844307883193924,
|
| 132 |
+
"recall": 0.7835788739547136,
|
| 133 |
+
"support": 27619.0
|
| 134 |
+
},
|
| 135 |
+
"eval_runtime": 1.3753,
|
| 136 |
+
"eval_samples_per_second": 58.17,
|
| 137 |
+
"eval_steps_per_second": 7.271,
|
| 138 |
"eval_weighted avg": {
|
| 139 |
+
"f1-score": 0.8350654121763821,
|
| 140 |
+
"precision": 0.8412645262496828,
|
| 141 |
+
"recall": 0.8312031572468228,
|
| 142 |
+
"support": 27619.0
|
| 143 |
},
|
| 144 |
"step": 123
|
| 145 |
},
|
| 146 |
{
|
| 147 |
"epoch": 4.0,
|
| 148 |
"eval_Claim": {
|
| 149 |
+
"f1-score": 0.5695364238410595,
|
| 150 |
+
"precision": 0.6521200866604766,
|
| 151 |
+
"recall": 0.5055182341650671,
|
| 152 |
+
"support": 4168.0
|
| 153 |
},
|
| 154 |
"eval_MajorClaim": {
|
| 155 |
+
"f1-score": 0.7937086847503988,
|
| 156 |
+
"precision": 0.7789709172259508,
|
| 157 |
+
"recall": 0.8090148698884758,
|
| 158 |
+
"support": 2152.0
|
| 159 |
},
|
| 160 |
"eval_O": {
|
| 161 |
+
"f1-score": 0.9155632732797916,
|
| 162 |
+
"precision": 0.91675722668985,
|
| 163 |
+
"recall": 0.9143724257533059,
|
| 164 |
+
"support": 9226.0
|
| 165 |
},
|
| 166 |
"eval_Premise": {
|
| 167 |
+
"f1-score": 0.8839514066496164,
|
| 168 |
+
"precision": 0.85398810902633,
|
| 169 |
+
"recall": 0.9160937629421022,
|
| 170 |
+
"support": 12073.0
|
| 171 |
},
|
| 172 |
+
"eval_accuracy": 0.8452152503711213,
|
| 173 |
+
"eval_loss": 0.4198084771633148,
|
| 174 |
"eval_macro avg": {
|
| 175 |
+
"f1-score": 0.7906899471302166,
|
| 176 |
+
"precision": 0.8004590849006519,
|
| 177 |
+
"recall": 0.7862498231872379,
|
| 178 |
+
"support": 27619.0
|
| 179 |
+
},
|
| 180 |
+
"eval_runtime": 1.3806,
|
| 181 |
+
"eval_samples_per_second": 57.945,
|
| 182 |
+
"eval_steps_per_second": 7.243,
|
| 183 |
"eval_weighted avg": {
|
| 184 |
+
"f1-score": 0.8400311740436862,
|
| 185 |
+
"precision": 0.8386466761572305,
|
| 186 |
+
"recall": 0.8452152503711213,
|
| 187 |
+
"support": 27619.0
|
| 188 |
},
|
| 189 |
"step": 164
|
| 190 |
},
|
| 191 |
{
|
| 192 |
"epoch": 5.0,
|
| 193 |
"eval_Claim": {
|
| 194 |
+
"f1-score": 0.6163734776725303,
|
| 195 |
+
"precision": 0.5814893617021276,
|
| 196 |
+
"recall": 0.6557101727447217,
|
| 197 |
+
"support": 4168.0
|
| 198 |
},
|
| 199 |
"eval_MajorClaim": {
|
| 200 |
+
"f1-score": 0.7828498293515358,
|
| 201 |
+
"precision": 0.7235804416403786,
|
| 202 |
+
"recall": 0.8526951672862454,
|
| 203 |
+
"support": 2152.0
|
| 204 |
},
|
| 205 |
"eval_O": {
|
| 206 |
+
"f1-score": 0.9165979438121942,
|
| 207 |
+
"precision": 0.9300457436126297,
|
| 208 |
+
"recall": 0.9035334923043572,
|
| 209 |
+
"support": 9226.0
|
| 210 |
},
|
| 211 |
"eval_Premise": {
|
| 212 |
+
"f1-score": 0.8766015408845188,
|
| 213 |
+
"precision": 0.9016637478108581,
|
| 214 |
+
"recall": 0.8528948894226787,
|
| 215 |
+
"support": 12073.0
|
| 216 |
},
|
| 217 |
+
"eval_accuracy": 0.8400376552373366,
|
| 218 |
+
"eval_loss": 0.44705528020858765,
|
| 219 |
"eval_macro avg": {
|
| 220 |
+
"f1-score": 0.7981056979301948,
|
| 221 |
+
"precision": 0.7841948236914985,
|
| 222 |
+
"recall": 0.8162084304395008,
|
| 223 |
+
"support": 27619.0
|
| 224 |
+
},
|
| 225 |
+
"eval_runtime": 1.3758,
|
| 226 |
+
"eval_samples_per_second": 58.148,
|
| 227 |
+
"eval_steps_per_second": 7.268,
|
| 228 |
"eval_weighted avg": {
|
| 229 |
+
"f1-score": 0.843386093646175,
|
| 230 |
+
"precision": 0.8489511288560475,
|
| 231 |
+
"recall": 0.8400376552373366,
|
| 232 |
+
"support": 27619.0
|
| 233 |
},
|
| 234 |
"step": 205
|
| 235 |
},
|
| 236 |
{
|
| 237 |
"epoch": 6.0,
|
| 238 |
"eval_Claim": {
|
| 239 |
+
"f1-score": 0.6241953385127637,
|
| 240 |
+
"precision": 0.5807517554729451,
|
| 241 |
+
"recall": 0.6746641074856046,
|
| 242 |
+
"support": 4168.0
|
| 243 |
},
|
| 244 |
"eval_MajorClaim": {
|
| 245 |
+
"f1-score": 0.7921387283236995,
|
| 246 |
+
"precision": 0.7883110906580764,
|
| 247 |
+
"recall": 0.796003717472119,
|
| 248 |
+
"support": 2152.0
|
| 249 |
},
|
| 250 |
"eval_O": {
|
| 251 |
+
"f1-score": 0.9180380767989674,
|
| 252 |
+
"precision": 0.9110802732707088,
|
| 253 |
+
"recall": 0.925102969867765,
|
| 254 |
+
"support": 9226.0
|
| 255 |
},
|
| 256 |
"eval_Premise": {
|
| 257 |
+
"f1-score": 0.8717662705392766,
|
| 258 |
+
"precision": 0.9042363830544677,
|
| 259 |
+
"recall": 0.8415472542035948,
|
| 260 |
+
"support": 12073.0
|
| 261 |
},
|
| 262 |
+
"eval_accuracy": 0.8407255874579094,
|
| 263 |
+
"eval_loss": 0.4595077633857727,
|
| 264 |
"eval_macro avg": {
|
| 265 |
+
"f1-score": 0.8015346035436768,
|
| 266 |
+
"precision": 0.7960948756140495,
|
| 267 |
+
"recall": 0.8093295122572709,
|
| 268 |
+
"support": 27619.0
|
| 269 |
+
},
|
| 270 |
+
"eval_runtime": 1.3748,
|
| 271 |
+
"eval_samples_per_second": 58.192,
|
| 272 |
+
"eval_steps_per_second": 7.274,
|
| 273 |
"eval_weighted avg": {
|
| 274 |
+
"f1-score": 0.8436577064716956,
|
| 275 |
+
"precision": 0.8486726976979458,
|
| 276 |
+
"recall": 0.8407255874579094,
|
| 277 |
+
"support": 27619.0
|
| 278 |
},
|
| 279 |
"step": 246
|
| 280 |
},
|
| 281 |
{
|
| 282 |
"epoch": 7.0,
|
| 283 |
"eval_Claim": {
|
| 284 |
+
"f1-score": 0.5836049135121585,
|
| 285 |
+
"precision": 0.6110236220472441,
|
| 286 |
+
"recall": 0.5585412667946257,
|
| 287 |
+
"support": 4168.0
|
| 288 |
},
|
| 289 |
"eval_MajorClaim": {
|
| 290 |
+
"f1-score": 0.7928268050967437,
|
| 291 |
+
"precision": 0.8053691275167785,
|
| 292 |
+
"recall": 0.7806691449814126,
|
| 293 |
+
"support": 2152.0
|
| 294 |
},
|
| 295 |
"eval_O": {
|
| 296 |
+
"f1-score": 0.9194612574295218,
|
| 297 |
+
"precision": 0.9251618566882476,
|
| 298 |
+
"recall": 0.9138304790808585,
|
| 299 |
+
"support": 9226.0
|
| 300 |
},
|
| 301 |
"eval_Premise": {
|
| 302 |
+
"f1-score": 0.8797147834541992,
|
| 303 |
+
"precision": 0.8609833465503569,
|
| 304 |
+
"recall": 0.8992793837488611,
|
| 305 |
+
"support": 12073.0
|
| 306 |
},
|
| 307 |
+
"eval_accuracy": 0.8434773163402006,
|
| 308 |
+
"eval_loss": 0.5069454908370972,
|
| 309 |
"eval_macro avg": {
|
| 310 |
+
"f1-score": 0.7939019398731558,
|
| 311 |
+
"precision": 0.8006344882006567,
|
| 312 |
+
"recall": 0.7880800686514394,
|
| 313 |
+
"support": 27619.0
|
| 314 |
+
},
|
| 315 |
+
"eval_runtime": 1.3807,
|
| 316 |
+
"eval_samples_per_second": 57.943,
|
| 317 |
+
"eval_steps_per_second": 7.243,
|
| 318 |
"eval_weighted avg": {
|
| 319 |
+
"f1-score": 0.8415357075120093,
|
| 320 |
+
"precision": 0.8403669956123412,
|
| 321 |
+
"recall": 0.8434773163402006,
|
| 322 |
+
"support": 27619.0
|
| 323 |
},
|
| 324 |
"step": 287
|
| 325 |
},
|
| 326 |
{
|
| 327 |
"epoch": 8.0,
|
| 328 |
"eval_Claim": {
|
| 329 |
+
"f1-score": 0.5933731413183467,
|
| 330 |
+
"precision": 0.5794648982391951,
|
| 331 |
+
"recall": 0.6079654510556622,
|
| 332 |
+
"support": 4168.0
|
| 333 |
},
|
| 334 |
"eval_MajorClaim": {
|
| 335 |
+
"f1-score": 0.7907602601480151,
|
| 336 |
+
"precision": 0.7641959254442999,
|
| 337 |
+
"recall": 0.8192379182156134,
|
| 338 |
+
"support": 2152.0
|
| 339 |
},
|
| 340 |
"eval_O": {
|
| 341 |
+
"f1-score": 0.9148948106591865,
|
| 342 |
+
"precision": 0.9482497964879637,
|
| 343 |
+
"recall": 0.8838066334272707,
|
| 344 |
+
"support": 9226.0
|
| 345 |
},
|
| 346 |
"eval_Premise": {
|
| 347 |
+
"f1-score": 0.8765821488551183,
|
| 348 |
+
"precision": 0.86709886547812,
|
| 349 |
+
"recall": 0.8862751594466992,
|
| 350 |
+
"support": 12073.0
|
| 351 |
},
|
| 352 |
+
"eval_accuracy": 0.8382273072884608,
|
| 353 |
+
"eval_loss": 0.548562228679657,
|
| 354 |
"eval_macro avg": {
|
| 355 |
+
"f1-score": 0.7939025902451666,
|
| 356 |
+
"precision": 0.7897523714123946,
|
| 357 |
+
"recall": 0.7993212905363115,
|
| 358 |
+
"support": 27619.0
|
| 359 |
+
},
|
| 360 |
+
"eval_runtime": 1.3817,
|
| 361 |
+
"eval_samples_per_second": 57.901,
|
| 362 |
+
"eval_steps_per_second": 7.238,
|
| 363 |
"eval_weighted avg": {
|
| 364 |
+
"f1-score": 0.8399540584062747,
|
| 365 |
+
"precision": 0.8427820179127555,
|
| 366 |
+
"recall": 0.8382273072884608,
|
| 367 |
+
"support": 27619.0
|
| 368 |
},
|
| 369 |
"step": 328
|
| 370 |
},
|
| 371 |
{
|
| 372 |
"epoch": 9.0,
|
| 373 |
"eval_Claim": {
|
| 374 |
+
"f1-score": 0.6135836554389841,
|
| 375 |
+
"precision": 0.5684468999386126,
|
| 376 |
+
"recall": 0.6665067178502879,
|
| 377 |
+
"support": 4168.0
|
| 378 |
},
|
| 379 |
"eval_MajorClaim": {
|
| 380 |
+
"f1-score": 0.7970061238376048,
|
| 381 |
+
"precision": 0.7784669915817457,
|
| 382 |
+
"recall": 0.8164498141263941,
|
| 383 |
+
"support": 2152.0
|
| 384 |
},
|
| 385 |
"eval_O": {
|
| 386 |
+
"f1-score": 0.9169912095248693,
|
| 387 |
+
"precision": 0.9420438957475995,
|
| 388 |
+
"recall": 0.893236505527856,
|
| 389 |
+
"support": 9226.0
|
| 390 |
},
|
| 391 |
"eval_Premise": {
|
| 392 |
+
"f1-score": 0.8721008403361344,
|
| 393 |
+
"precision": 0.8849663170461328,
|
| 394 |
+
"recall": 0.8596040752091444,
|
| 395 |
+
"support": 12073.0
|
| 396 |
},
|
| 397 |
+
"eval_accuracy": 0.8383359281653934,
|
| 398 |
+
"eval_loss": 0.562429666519165,
|
| 399 |
"eval_macro avg": {
|
| 400 |
+
"f1-score": 0.7999204572843982,
|
| 401 |
+
"precision": 0.7934810260785227,
|
| 402 |
+
"recall": 0.8089492781784205,
|
| 403 |
+
"support": 27619.0
|
| 404 |
+
},
|
| 405 |
+
"eval_runtime": 1.3808,
|
| 406 |
+
"eval_samples_per_second": 57.936,
|
| 407 |
+
"eval_steps_per_second": 7.242,
|
| 408 |
"eval_weighted avg": {
|
| 409 |
+
"f1-score": 0.8422320938058151,
|
| 410 |
+
"precision": 0.8479685351639584,
|
| 411 |
+
"recall": 0.8383359281653934,
|
| 412 |
+
"support": 27619.0
|
| 413 |
},
|
| 414 |
"step": 369
|
| 415 |
},
|
| 416 |
{
|
| 417 |
"epoch": 10.0,
|
| 418 |
"eval_Claim": {
|
| 419 |
+
"f1-score": 0.612128418549346,
|
| 420 |
+
"precision": 0.6067892503536068,
|
| 421 |
+
"recall": 0.6175623800383877,
|
| 422 |
+
"support": 4168.0
|
| 423 |
},
|
| 424 |
"eval_MajorClaim": {
|
| 425 |
+
"f1-score": 0.7968056787932565,
|
| 426 |
+
"precision": 0.7623089983022071,
|
| 427 |
+
"recall": 0.8345724907063197,
|
| 428 |
+
"support": 2152.0
|
| 429 |
},
|
| 430 |
"eval_O": {
|
| 431 |
+
"f1-score": 0.9155905337249902,
|
| 432 |
+
"precision": 0.9368265850062379,
|
| 433 |
+
"recall": 0.8952959028831563,
|
| 434 |
+
"support": 9226.0
|
| 435 |
},
|
| 436 |
"eval_Premise": {
|
| 437 |
+
"f1-score": 0.879186060880669,
|
| 438 |
+
"precision": 0.8744673877417241,
|
| 439 |
+
"recall": 0.8839559347303901,
|
| 440 |
+
"support": 12073.0
|
| 441 |
},
|
| 442 |
+
"eval_accuracy": 0.8436945580940657,
|
| 443 |
+
"eval_loss": 0.5923005938529968,
|
| 444 |
"eval_macro avg": {
|
| 445 |
+
"f1-score": 0.8009276729870654,
|
| 446 |
+
"precision": 0.795098055350944,
|
| 447 |
+
"recall": 0.8078466770895635,
|
| 448 |
+
"support": 27619.0
|
| 449 |
+
},
|
| 450 |
+
"eval_runtime": 1.3753,
|
| 451 |
+
"eval_samples_per_second": 58.169,
|
| 452 |
+
"eval_steps_per_second": 7.271,
|
| 453 |
"eval_weighted avg": {
|
| 454 |
+
"f1-score": 0.8446261141401151,
|
| 455 |
+
"precision": 0.846163633922067,
|
| 456 |
+
"recall": 0.8436945580940657,
|
| 457 |
+
"support": 27619.0
|
| 458 |
},
|
| 459 |
"step": 410
|
| 460 |
},
|
| 461 |
{
|
| 462 |
"epoch": 11.0,
|
| 463 |
"eval_Claim": {
|
| 464 |
+
"f1-score": 0.6184452621895125,
|
| 465 |
+
"precision": 0.5938604240282686,
|
| 466 |
+
"recall": 0.6451535508637236,
|
| 467 |
+
"support": 4168.0
|
| 468 |
},
|
| 469 |
"eval_MajorClaim": {
|
| 470 |
+
"f1-score": 0.7804655408489276,
|
| 471 |
+
"precision": 0.7668161434977578,
|
| 472 |
+
"recall": 0.7946096654275093,
|
| 473 |
+
"support": 2152.0
|
| 474 |
},
|
| 475 |
"eval_O": {
|
| 476 |
+
"f1-score": 0.9165973031463293,
|
| 477 |
+
"precision": 0.9390562819783969,
|
| 478 |
+
"recall": 0.8951875135486668,
|
| 479 |
+
"support": 9226.0
|
| 480 |
},
|
| 481 |
"eval_Premise": {
|
| 482 |
+
"f1-score": 0.8779154066034218,
|
| 483 |
+
"precision": 0.8781700646444555,
|
| 484 |
+
"recall": 0.8776608962146939,
|
| 485 |
+
"support": 12073.0
|
| 486 |
},
|
| 487 |
+
"eval_accuracy": 0.841956624063145,
|
| 488 |
+
"eval_loss": 0.6036468148231506,
|
| 489 |
"eval_macro avg": {
|
| 490 |
+
"f1-score": 0.7983558781970478,
|
| 491 |
+
"precision": 0.7944757285372197,
|
| 492 |
+
"recall": 0.8031529065136485,
|
| 493 |
+
"support": 27619.0
|
| 494 |
+
},
|
| 495 |
+
"eval_runtime": 1.3761,
|
| 496 |
+
"eval_samples_per_second": 58.137,
|
| 497 |
+
"eval_steps_per_second": 7.267,
|
| 498 |
"eval_weighted avg": {
|
| 499 |
+
"f1-score": 0.8440870820617664,
|
| 500 |
+
"precision": 0.8469270804932185,
|
| 501 |
+
"recall": 0.841956624063145,
|
| 502 |
+
"support": 27619.0
|
| 503 |
},
|
| 504 |
"step": 451
|
| 505 |
},
|
| 506 |
{
|
| 507 |
"epoch": 12.0,
|
| 508 |
"eval_Claim": {
|
| 509 |
+
"f1-score": 0.6014948392454621,
|
| 510 |
+
"precision": 0.594930767425487,
|
| 511 |
+
"recall": 0.6082053742802304,
|
| 512 |
+
"support": 4168.0
|
| 513 |
},
|
| 514 |
"eval_MajorClaim": {
|
| 515 |
+
"f1-score": 0.7777515908555267,
|
| 516 |
+
"precision": 0.7890961262553802,
|
| 517 |
+
"recall": 0.766728624535316,
|
| 518 |
+
"support": 2152.0
|
| 519 |
},
|
| 520 |
"eval_O": {
|
| 521 |
+
"f1-score": 0.9159474465394976,
|
| 522 |
+
"precision": 0.9292805354155047,
|
| 523 |
+
"recall": 0.9029915456319099,
|
| 524 |
+
"support": 9226.0
|
| 525 |
},
|
| 526 |
"eval_Premise": {
|
| 527 |
+
"f1-score": 0.8807384615384615,
|
| 528 |
+
"precision": 0.872541050235734,
|
| 529 |
+
"recall": 0.8890913608879317,
|
| 530 |
+
"support": 12073.0
|
| 531 |
},
|
| 532 |
+
"eval_accuracy": 0.8418117962272349,
|
| 533 |
+
"eval_loss": 0.6291709542274475,
|
| 534 |
"eval_macro avg": {
|
| 535 |
+
"f1-score": 0.7939830845447369,
|
| 536 |
+
"precision": 0.7964621198330264,
|
| 537 |
+
"recall": 0.791754226333847,
|
| 538 |
+
"support": 27619.0
|
| 539 |
+
},
|
| 540 |
+
"eval_runtime": 1.3752,
|
| 541 |
+
"eval_samples_per_second": 58.171,
|
| 542 |
+
"eval_steps_per_second": 7.271,
|
| 543 |
"eval_weighted avg": {
|
| 544 |
+
"f1-score": 0.8423345704559697,
|
| 545 |
+
"precision": 0.8430984692266364,
|
| 546 |
+
"recall": 0.8418117962272349,
|
| 547 |
+
"support": 27619.0
|
| 548 |
},
|
| 549 |
"step": 492
|
| 550 |
}
|
|
|
|
| 554 |
"num_input_tokens_seen": 0,
|
| 555 |
"num_train_epochs": 16,
|
| 556 |
"save_steps": 500,
|
| 557 |
+
"total_flos": 1725464792721600.0,
|
| 558 |
"train_batch_size": 8,
|
| 559 |
"trial_name": null,
|
| 560 |
"trial_params": null
|
checkpoint-492/training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4664
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a0c1709ee996939c9fcadfbefb05efc50420ff427d1c0c0c37492208bad18716
|
| 3 |
size 4664
|