End of training
Browse files- README.md +3 -1
- all_results.json +11 -11
- eval_results.json +6 -6
- train_results.json +6 -6
- trainer_state.json +650 -364
README.md
CHANGED
|
@@ -3,6 +3,8 @@ license: mit
|
|
| 3 |
base_model: unicamp-dl/ptt5-base-portuguese-vocab
|
| 4 |
tags:
|
| 5 |
- generated_from_trainer
|
|
|
|
|
|
|
| 6 |
model-index:
|
| 7 |
- name: t5_base-qg-ap-test
|
| 8 |
results: []
|
|
@@ -13,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 13 |
|
| 14 |
# t5_base-qg-ap-test
|
| 15 |
|
| 16 |
-
This model is a fine-tuned version of [unicamp-dl/ptt5-base-portuguese-vocab](https://huggingface.co/unicamp-dl/ptt5-base-portuguese-vocab) on
|
| 17 |
It achieves the following results on the evaluation set:
|
| 18 |
- Loss: 0.0163
|
| 19 |
|
|
|
|
| 3 |
base_model: unicamp-dl/ptt5-base-portuguese-vocab
|
| 4 |
tags:
|
| 5 |
- generated_from_trainer
|
| 6 |
+
datasets:
|
| 7 |
+
- tiagoblima/du-qg-squadv1_pt
|
| 8 |
model-index:
|
| 9 |
- name: t5_base-qg-ap-test
|
| 10 |
results: []
|
|
|
|
| 15 |
|
| 16 |
# t5_base-qg-ap-test
|
| 17 |
|
| 18 |
+
This model is a fine-tuned version of [unicamp-dl/ptt5-base-portuguese-vocab](https://huggingface.co/unicamp-dl/ptt5-base-portuguese-vocab) on the tiagoblima/du-qg-squadv1_pt dataset.
|
| 19 |
It achieves the following results on the evaluation set:
|
| 20 |
- Loss: 0.0163
|
| 21 |
|
all_results.json
CHANGED
|
@@ -1,13 +1,13 @@
|
|
| 1 |
{
|
| 2 |
-
"epoch":
|
| 3 |
-
"eval_loss":
|
| 4 |
-
"eval_runtime":
|
| 5 |
-
"eval_samples":
|
| 6 |
-
"eval_samples_per_second":
|
| 7 |
-
"eval_steps_per_second":
|
| 8 |
-
"train_loss":
|
| 9 |
-
"train_runtime":
|
| 10 |
-
"train_samples":
|
| 11 |
-
"train_samples_per_second":
|
| 12 |
-
"train_steps_per_second": 0.
|
| 13 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"epoch": 100.0,
|
| 3 |
+
"eval_loss": 0.016336046159267426,
|
| 4 |
+
"eval_runtime": 0.2314,
|
| 5 |
+
"eval_samples": 8,
|
| 6 |
+
"eval_samples_per_second": 34.579,
|
| 7 |
+
"eval_steps_per_second": 4.322,
|
| 8 |
+
"train_loss": 1.40092041015625,
|
| 9 |
+
"train_runtime": 1064.353,
|
| 10 |
+
"train_samples": 8,
|
| 11 |
+
"train_samples_per_second": 0.752,
|
| 12 |
+
"train_steps_per_second": 0.094
|
| 13 |
}
|
eval_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
-
"epoch":
|
| 3 |
-
"eval_loss":
|
| 4 |
-
"eval_runtime":
|
| 5 |
-
"eval_samples":
|
| 6 |
-
"eval_samples_per_second":
|
| 7 |
-
"eval_steps_per_second":
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"epoch": 100.0,
|
| 3 |
+
"eval_loss": 0.016336046159267426,
|
| 4 |
+
"eval_runtime": 0.2314,
|
| 5 |
+
"eval_samples": 8,
|
| 6 |
+
"eval_samples_per_second": 34.579,
|
| 7 |
+
"eval_steps_per_second": 4.322
|
| 8 |
}
|
train_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
-
"epoch":
|
| 3 |
-
"train_loss":
|
| 4 |
-
"train_runtime":
|
| 5 |
-
"train_samples":
|
| 6 |
-
"train_samples_per_second":
|
| 7 |
-
"train_steps_per_second": 0.
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"epoch": 100.0,
|
| 3 |
+
"train_loss": 1.40092041015625,
|
| 4 |
+
"train_runtime": 1064.353,
|
| 5 |
+
"train_samples": 8,
|
| 6 |
+
"train_samples_per_second": 0.752,
|
| 7 |
+
"train_steps_per_second": 0.094
|
| 8 |
}
|
trainer_state.json
CHANGED
|
@@ -1,548 +1,834 @@
|
|
| 1 |
{
|
| 2 |
-
"best_metric":
|
| 3 |
-
"best_model_checkpoint": "/temp/t5_base-qg-ap-test/checkpoint-
|
| 4 |
-
"epoch":
|
| 5 |
"eval_steps": 500,
|
| 6 |
-
"global_step":
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
-
"epoch":
|
| 13 |
-
"
|
| 14 |
-
"
|
| 15 |
-
"
|
|
|
|
|
|
|
| 16 |
},
|
| 17 |
{
|
| 18 |
-
"epoch":
|
| 19 |
-
"
|
| 20 |
-
"
|
| 21 |
-
"
|
|
|
|
|
|
|
| 22 |
},
|
| 23 |
{
|
| 24 |
-
"epoch":
|
| 25 |
-
"
|
| 26 |
-
"
|
| 27 |
-
"
|
|
|
|
|
|
|
| 28 |
},
|
| 29 |
{
|
| 30 |
-
"epoch":
|
| 31 |
-
"
|
| 32 |
-
"
|
| 33 |
-
"
|
|
|
|
|
|
|
| 34 |
},
|
| 35 |
{
|
| 36 |
-
"epoch":
|
| 37 |
-
"
|
| 38 |
-
"
|
| 39 |
-
"
|
|
|
|
|
|
|
| 40 |
},
|
| 41 |
{
|
| 42 |
-
"epoch":
|
| 43 |
-
"
|
| 44 |
-
"
|
| 45 |
-
"
|
|
|
|
|
|
|
| 46 |
},
|
| 47 |
{
|
| 48 |
-
"epoch":
|
| 49 |
-
"
|
| 50 |
-
"
|
| 51 |
-
"
|
|
|
|
|
|
|
| 52 |
},
|
| 53 |
{
|
| 54 |
-
"epoch":
|
| 55 |
-
"
|
| 56 |
-
"
|
| 57 |
-
"
|
|
|
|
|
|
|
| 58 |
},
|
| 59 |
{
|
| 60 |
-
"epoch":
|
| 61 |
-
"
|
| 62 |
-
"
|
| 63 |
-
"
|
|
|
|
|
|
|
| 64 |
},
|
| 65 |
{
|
| 66 |
-
"epoch":
|
| 67 |
-
"
|
| 68 |
-
"
|
| 69 |
-
"
|
|
|
|
|
|
|
| 70 |
},
|
| 71 |
{
|
| 72 |
-
"epoch":
|
| 73 |
-
"
|
| 74 |
-
"
|
| 75 |
-
"
|
|
|
|
|
|
|
| 76 |
},
|
| 77 |
{
|
| 78 |
-
"epoch":
|
| 79 |
-
"
|
| 80 |
-
"
|
| 81 |
-
"
|
|
|
|
|
|
|
| 82 |
},
|
| 83 |
{
|
| 84 |
-
"epoch":
|
| 85 |
-
"
|
| 86 |
-
"
|
| 87 |
-
"
|
|
|
|
|
|
|
| 88 |
},
|
| 89 |
{
|
| 90 |
-
"epoch":
|
| 91 |
-
"
|
| 92 |
-
"
|
| 93 |
-
"
|
|
|
|
|
|
|
| 94 |
},
|
| 95 |
{
|
| 96 |
-
"epoch":
|
| 97 |
-
"
|
| 98 |
-
"
|
| 99 |
-
"
|
|
|
|
|
|
|
| 100 |
},
|
| 101 |
{
|
| 102 |
-
"epoch":
|
| 103 |
-
"
|
| 104 |
-
"
|
| 105 |
-
"
|
|
|
|
|
|
|
| 106 |
},
|
| 107 |
{
|
| 108 |
-
"epoch":
|
| 109 |
-
"eval_loss":
|
| 110 |
-
"eval_runtime":
|
| 111 |
-
"eval_samples_per_second":
|
| 112 |
-
"eval_steps_per_second":
|
| 113 |
-
"step":
|
| 114 |
},
|
| 115 |
{
|
| 116 |
-
"epoch":
|
| 117 |
-
"
|
| 118 |
-
"
|
| 119 |
-
"
|
|
|
|
|
|
|
| 120 |
},
|
| 121 |
{
|
| 122 |
-
"epoch":
|
| 123 |
-
"
|
| 124 |
-
"
|
| 125 |
-
"
|
|
|
|
|
|
|
| 126 |
},
|
| 127 |
{
|
| 128 |
-
"epoch":
|
| 129 |
-
"
|
| 130 |
-
"
|
| 131 |
-
"
|
|
|
|
|
|
|
| 132 |
},
|
| 133 |
{
|
| 134 |
-
"epoch":
|
| 135 |
-
"
|
| 136 |
-
"
|
| 137 |
-
"
|
|
|
|
|
|
|
| 138 |
},
|
| 139 |
{
|
| 140 |
-
"epoch":
|
| 141 |
-
"
|
| 142 |
-
"
|
| 143 |
-
"
|
|
|
|
|
|
|
| 144 |
},
|
| 145 |
{
|
| 146 |
-
"epoch":
|
| 147 |
-
"
|
| 148 |
-
"
|
| 149 |
-
"
|
|
|
|
|
|
|
| 150 |
},
|
| 151 |
{
|
| 152 |
-
"epoch":
|
| 153 |
-
"
|
| 154 |
-
"
|
| 155 |
-
"
|
|
|
|
|
|
|
| 156 |
},
|
| 157 |
{
|
| 158 |
-
"epoch":
|
| 159 |
-
"
|
| 160 |
-
"
|
| 161 |
-
"
|
|
|
|
|
|
|
| 162 |
},
|
| 163 |
{
|
| 164 |
-
"epoch":
|
| 165 |
-
"
|
| 166 |
-
"
|
| 167 |
-
"
|
|
|
|
|
|
|
| 168 |
},
|
| 169 |
{
|
| 170 |
-
"epoch":
|
| 171 |
-
"
|
| 172 |
-
"
|
| 173 |
-
"
|
|
|
|
|
|
|
| 174 |
},
|
| 175 |
{
|
| 176 |
-
"epoch":
|
| 177 |
-
"
|
| 178 |
-
"
|
| 179 |
-
"
|
|
|
|
|
|
|
| 180 |
},
|
| 181 |
{
|
| 182 |
-
"epoch":
|
| 183 |
-
"
|
| 184 |
-
"
|
| 185 |
-
"
|
|
|
|
|
|
|
| 186 |
},
|
| 187 |
{
|
| 188 |
-
"epoch":
|
| 189 |
-
"
|
| 190 |
-
"
|
| 191 |
-
"
|
|
|
|
|
|
|
| 192 |
},
|
| 193 |
{
|
| 194 |
-
"epoch":
|
| 195 |
-
"
|
| 196 |
-
"
|
| 197 |
-
"
|
|
|
|
|
|
|
| 198 |
},
|
| 199 |
{
|
| 200 |
-
"epoch":
|
| 201 |
-
"
|
| 202 |
-
"
|
| 203 |
-
"
|
|
|
|
|
|
|
| 204 |
},
|
| 205 |
{
|
| 206 |
-
"epoch":
|
| 207 |
-
"
|
| 208 |
-
"
|
| 209 |
-
"
|
|
|
|
|
|
|
| 210 |
},
|
| 211 |
{
|
| 212 |
-
"epoch":
|
| 213 |
-
"eval_loss":
|
| 214 |
-
"eval_runtime":
|
| 215 |
-
"eval_samples_per_second":
|
| 216 |
-
"eval_steps_per_second":
|
| 217 |
-
"step":
|
| 218 |
},
|
| 219 |
{
|
| 220 |
-
"epoch":
|
| 221 |
-
"
|
| 222 |
-
"
|
| 223 |
-
"
|
|
|
|
|
|
|
| 224 |
},
|
| 225 |
{
|
| 226 |
-
"epoch":
|
| 227 |
-
"
|
| 228 |
-
"
|
| 229 |
-
"
|
|
|
|
|
|
|
| 230 |
},
|
| 231 |
{
|
| 232 |
-
"epoch":
|
| 233 |
-
"
|
| 234 |
-
"
|
| 235 |
-
"
|
|
|
|
|
|
|
| 236 |
},
|
| 237 |
{
|
| 238 |
-
"epoch":
|
| 239 |
-
"
|
| 240 |
-
"
|
| 241 |
-
"
|
|
|
|
|
|
|
| 242 |
},
|
| 243 |
{
|
| 244 |
-
"epoch":
|
| 245 |
-
"
|
| 246 |
-
"
|
| 247 |
-
"
|
|
|
|
|
|
|
| 248 |
},
|
| 249 |
{
|
| 250 |
-
"epoch":
|
| 251 |
-
"
|
| 252 |
-
"
|
| 253 |
-
"
|
|
|
|
|
|
|
| 254 |
},
|
| 255 |
{
|
| 256 |
-
"epoch":
|
| 257 |
-
"
|
| 258 |
-
"
|
| 259 |
-
"
|
|
|
|
|
|
|
| 260 |
},
|
| 261 |
{
|
| 262 |
-
"epoch":
|
| 263 |
-
"
|
| 264 |
-
"
|
| 265 |
-
"
|
|
|
|
|
|
|
| 266 |
},
|
| 267 |
{
|
| 268 |
-
"epoch":
|
| 269 |
-
"
|
| 270 |
-
"
|
| 271 |
-
"
|
|
|
|
|
|
|
| 272 |
},
|
| 273 |
{
|
| 274 |
-
"epoch":
|
| 275 |
-
"
|
| 276 |
-
"
|
| 277 |
-
"
|
|
|
|
|
|
|
| 278 |
},
|
| 279 |
{
|
| 280 |
-
"epoch":
|
| 281 |
-
"
|
| 282 |
-
"
|
| 283 |
-
"
|
|
|
|
|
|
|
| 284 |
},
|
| 285 |
{
|
| 286 |
-
"epoch":
|
| 287 |
-
"
|
| 288 |
-
"
|
| 289 |
-
"
|
|
|
|
|
|
|
| 290 |
},
|
| 291 |
{
|
| 292 |
-
"epoch":
|
| 293 |
-
"
|
| 294 |
-
"
|
| 295 |
-
"
|
|
|
|
|
|
|
| 296 |
},
|
| 297 |
{
|
| 298 |
-
"epoch":
|
| 299 |
-
"
|
| 300 |
-
"
|
| 301 |
-
"
|
|
|
|
|
|
|
| 302 |
},
|
| 303 |
{
|
| 304 |
-
"epoch":
|
| 305 |
-
"
|
| 306 |
-
"
|
| 307 |
-
"
|
|
|
|
|
|
|
| 308 |
},
|
| 309 |
{
|
| 310 |
-
"epoch":
|
| 311 |
-
"
|
| 312 |
-
"
|
| 313 |
-
"
|
|
|
|
|
|
|
| 314 |
},
|
| 315 |
{
|
| 316 |
-
"epoch":
|
| 317 |
-
"eval_loss":
|
| 318 |
-
"eval_runtime":
|
| 319 |
-
"eval_samples_per_second":
|
| 320 |
-
"eval_steps_per_second":
|
| 321 |
-
"step":
|
| 322 |
},
|
| 323 |
{
|
| 324 |
-
"epoch":
|
| 325 |
-
"
|
| 326 |
-
"
|
| 327 |
-
"
|
|
|
|
|
|
|
| 328 |
},
|
| 329 |
{
|
| 330 |
-
"epoch":
|
| 331 |
-
"
|
| 332 |
-
"
|
| 333 |
-
"
|
|
|
|
|
|
|
| 334 |
},
|
| 335 |
{
|
| 336 |
-
"epoch":
|
| 337 |
-
"
|
| 338 |
-
"
|
| 339 |
-
"
|
|
|
|
|
|
|
| 340 |
},
|
| 341 |
{
|
| 342 |
-
"epoch":
|
| 343 |
-
"
|
| 344 |
-
"
|
| 345 |
-
"
|
|
|
|
|
|
|
| 346 |
},
|
| 347 |
{
|
| 348 |
-
"epoch":
|
| 349 |
-
"
|
| 350 |
-
"
|
| 351 |
-
"
|
|
|
|
|
|
|
| 352 |
},
|
| 353 |
{
|
| 354 |
-
"epoch":
|
| 355 |
-
"
|
| 356 |
-
"
|
| 357 |
-
"
|
|
|
|
|
|
|
| 358 |
},
|
| 359 |
{
|
| 360 |
-
"epoch":
|
| 361 |
-
"
|
| 362 |
-
"
|
| 363 |
-
"
|
|
|
|
|
|
|
| 364 |
},
|
| 365 |
{
|
| 366 |
-
"epoch":
|
| 367 |
-
"
|
| 368 |
-
"
|
| 369 |
-
"
|
|
|
|
|
|
|
| 370 |
},
|
| 371 |
{
|
| 372 |
-
"epoch":
|
| 373 |
-
"
|
| 374 |
-
"
|
| 375 |
-
"
|
|
|
|
|
|
|
| 376 |
},
|
| 377 |
{
|
| 378 |
-
"epoch":
|
| 379 |
-
"
|
| 380 |
-
"
|
| 381 |
-
"
|
|
|
|
|
|
|
| 382 |
},
|
| 383 |
{
|
| 384 |
-
"epoch":
|
| 385 |
-
"
|
| 386 |
-
"
|
| 387 |
-
"
|
|
|
|
|
|
|
| 388 |
},
|
| 389 |
{
|
| 390 |
-
"epoch":
|
| 391 |
-
"
|
| 392 |
-
"
|
| 393 |
-
"
|
|
|
|
|
|
|
| 394 |
},
|
| 395 |
{
|
| 396 |
-
"epoch":
|
| 397 |
-
"
|
| 398 |
-
"
|
| 399 |
-
"
|
|
|
|
|
|
|
| 400 |
},
|
| 401 |
{
|
| 402 |
-
"epoch":
|
| 403 |
-
"
|
| 404 |
-
"
|
| 405 |
-
"
|
|
|
|
|
|
|
| 406 |
},
|
| 407 |
{
|
| 408 |
-
"epoch":
|
| 409 |
-
"
|
| 410 |
-
"
|
| 411 |
-
"
|
|
|
|
|
|
|
| 412 |
},
|
| 413 |
{
|
| 414 |
-
"epoch":
|
| 415 |
-
"
|
| 416 |
-
"
|
| 417 |
-
"
|
|
|
|
|
|
|
| 418 |
},
|
| 419 |
{
|
| 420 |
-
"epoch":
|
| 421 |
-
"eval_loss":
|
| 422 |
-
"eval_runtime":
|
| 423 |
-
"eval_samples_per_second":
|
| 424 |
-
"eval_steps_per_second":
|
| 425 |
-
"step":
|
| 426 |
},
|
| 427 |
{
|
| 428 |
-
"epoch":
|
| 429 |
-
"
|
| 430 |
-
"
|
| 431 |
-
"
|
|
|
|
|
|
|
| 432 |
},
|
| 433 |
{
|
| 434 |
-
"epoch":
|
| 435 |
-
"
|
| 436 |
-
"
|
| 437 |
-
"
|
|
|
|
|
|
|
| 438 |
},
|
| 439 |
{
|
| 440 |
-
"epoch":
|
| 441 |
-
"
|
| 442 |
-
"
|
| 443 |
-
"
|
|
|
|
|
|
|
| 444 |
},
|
| 445 |
{
|
| 446 |
-
"epoch":
|
| 447 |
-
"
|
| 448 |
-
"
|
| 449 |
-
"
|
|
|
|
|
|
|
| 450 |
},
|
| 451 |
{
|
| 452 |
-
"epoch":
|
| 453 |
-
"
|
| 454 |
-
"
|
| 455 |
-
"
|
|
|
|
|
|
|
| 456 |
},
|
| 457 |
{
|
| 458 |
-
"epoch":
|
| 459 |
-
"
|
| 460 |
-
"
|
| 461 |
-
"
|
|
|
|
|
|
|
| 462 |
},
|
| 463 |
{
|
| 464 |
-
"epoch":
|
| 465 |
-
"
|
| 466 |
-
"
|
| 467 |
-
"
|
|
|
|
|
|
|
| 468 |
},
|
| 469 |
{
|
| 470 |
-
"epoch":
|
| 471 |
-
"
|
| 472 |
-
"
|
| 473 |
-
"
|
|
|
|
|
|
|
| 474 |
},
|
| 475 |
{
|
| 476 |
-
"epoch":
|
| 477 |
-
"
|
| 478 |
-
"
|
| 479 |
-
"
|
|
|
|
|
|
|
| 480 |
},
|
| 481 |
{
|
| 482 |
-
"epoch":
|
| 483 |
-
"
|
| 484 |
-
"
|
| 485 |
-
"
|
|
|
|
|
|
|
| 486 |
},
|
| 487 |
{
|
| 488 |
-
"epoch":
|
| 489 |
-
"
|
| 490 |
-
"
|
| 491 |
-
"
|
|
|
|
|
|
|
| 492 |
},
|
| 493 |
{
|
| 494 |
-
"epoch":
|
| 495 |
-
"
|
| 496 |
-
"
|
| 497 |
-
"
|
|
|
|
|
|
|
| 498 |
},
|
| 499 |
{
|
| 500 |
-
"epoch":
|
| 501 |
-
"
|
| 502 |
-
"
|
| 503 |
-
"
|
|
|
|
|
|
|
| 504 |
},
|
| 505 |
{
|
| 506 |
-
"epoch":
|
| 507 |
-
"
|
| 508 |
-
"
|
| 509 |
-
"
|
|
|
|
|
|
|
| 510 |
},
|
| 511 |
{
|
| 512 |
-
"epoch":
|
| 513 |
-
"
|
| 514 |
-
"
|
| 515 |
-
"
|
|
|
|
|
|
|
| 516 |
},
|
| 517 |
{
|
| 518 |
-
"epoch":
|
| 519 |
-
"
|
| 520 |
-
"
|
| 521 |
-
"
|
|
|
|
|
|
|
| 522 |
},
|
| 523 |
{
|
| 524 |
-
"epoch":
|
| 525 |
-
"eval_loss":
|
| 526 |
-
"eval_runtime":
|
| 527 |
-
"eval_samples_per_second":
|
| 528 |
-
"eval_steps_per_second":
|
| 529 |
-
"step":
|
| 530 |
},
|
| 531 |
{
|
| 532 |
-
"epoch":
|
| 533 |
-
"
|
| 534 |
-
"
|
| 535 |
-
"
|
| 536 |
-
"
|
| 537 |
-
"
|
| 538 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 539 |
}
|
| 540 |
],
|
| 541 |
"logging_steps": 100,
|
| 542 |
-
"max_steps":
|
| 543 |
-
"num_train_epochs":
|
| 544 |
"save_steps": 500,
|
| 545 |
-
"total_flos":
|
| 546 |
"trial_name": null,
|
| 547 |
"trial_params": null
|
| 548 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_metric": 0.016336046159267426,
|
| 3 |
+
"best_model_checkpoint": "/temp/t5_base-qg-ap-test/checkpoint-100",
|
| 4 |
+
"epoch": 100.0,
|
| 5 |
"eval_steps": 500,
|
| 6 |
+
"global_step": 100,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
+
"epoch": 1.0,
|
| 13 |
+
"eval_loss": 12.805366516113281,
|
| 14 |
+
"eval_runtime": 0.2208,
|
| 15 |
+
"eval_samples_per_second": 36.238,
|
| 16 |
+
"eval_steps_per_second": 4.53,
|
| 17 |
+
"step": 1
|
| 18 |
},
|
| 19 |
{
|
| 20 |
+
"epoch": 2.0,
|
| 21 |
+
"eval_loss": 10.788012504577637,
|
| 22 |
+
"eval_runtime": 0.2356,
|
| 23 |
+
"eval_samples_per_second": 33.954,
|
| 24 |
+
"eval_steps_per_second": 4.244,
|
| 25 |
+
"step": 2
|
| 26 |
},
|
| 27 |
{
|
| 28 |
+
"epoch": 3.0,
|
| 29 |
+
"eval_loss": 8.873129844665527,
|
| 30 |
+
"eval_runtime": 0.2362,
|
| 31 |
+
"eval_samples_per_second": 33.872,
|
| 32 |
+
"eval_steps_per_second": 4.234,
|
| 33 |
+
"step": 3
|
| 34 |
},
|
| 35 |
{
|
| 36 |
+
"epoch": 4.0,
|
| 37 |
+
"eval_loss": 7.4068284034729,
|
| 38 |
+
"eval_runtime": 0.2351,
|
| 39 |
+
"eval_samples_per_second": 34.03,
|
| 40 |
+
"eval_steps_per_second": 4.254,
|
| 41 |
+
"step": 4
|
| 42 |
},
|
| 43 |
{
|
| 44 |
+
"epoch": 5.0,
|
| 45 |
+
"eval_loss": 6.458061218261719,
|
| 46 |
+
"eval_runtime": 0.2334,
|
| 47 |
+
"eval_samples_per_second": 34.275,
|
| 48 |
+
"eval_steps_per_second": 4.284,
|
| 49 |
+
"step": 5
|
| 50 |
},
|
| 51 |
{
|
| 52 |
+
"epoch": 6.0,
|
| 53 |
+
"eval_loss": 5.647502422332764,
|
| 54 |
+
"eval_runtime": 0.2335,
|
| 55 |
+
"eval_samples_per_second": 34.259,
|
| 56 |
+
"eval_steps_per_second": 4.282,
|
| 57 |
+
"step": 6
|
| 58 |
},
|
| 59 |
{
|
| 60 |
+
"epoch": 7.0,
|
| 61 |
+
"eval_loss": 4.959558486938477,
|
| 62 |
+
"eval_runtime": 0.2256,
|
| 63 |
+
"eval_samples_per_second": 35.464,
|
| 64 |
+
"eval_steps_per_second": 4.433,
|
| 65 |
+
"step": 7
|
| 66 |
},
|
| 67 |
{
|
| 68 |
+
"epoch": 8.0,
|
| 69 |
+
"eval_loss": 4.50578498840332,
|
| 70 |
+
"eval_runtime": 0.2359,
|
| 71 |
+
"eval_samples_per_second": 33.916,
|
| 72 |
+
"eval_steps_per_second": 4.239,
|
| 73 |
+
"step": 8
|
| 74 |
},
|
| 75 |
{
|
| 76 |
+
"epoch": 9.0,
|
| 77 |
+
"eval_loss": 4.076832294464111,
|
| 78 |
+
"eval_runtime": 0.2354,
|
| 79 |
+
"eval_samples_per_second": 33.984,
|
| 80 |
+
"eval_steps_per_second": 4.248,
|
| 81 |
+
"step": 9
|
| 82 |
},
|
| 83 |
{
|
| 84 |
+
"epoch": 10.0,
|
| 85 |
+
"eval_loss": 3.704714059829712,
|
| 86 |
+
"eval_runtime": 0.2353,
|
| 87 |
+
"eval_samples_per_second": 33.999,
|
| 88 |
+
"eval_steps_per_second": 4.25,
|
| 89 |
+
"step": 10
|
| 90 |
},
|
| 91 |
{
|
| 92 |
+
"epoch": 11.0,
|
| 93 |
+
"eval_loss": 3.4143009185791016,
|
| 94 |
+
"eval_runtime": 0.2359,
|
| 95 |
+
"eval_samples_per_second": 33.914,
|
| 96 |
+
"eval_steps_per_second": 4.239,
|
| 97 |
+
"step": 11
|
| 98 |
},
|
| 99 |
{
|
| 100 |
+
"epoch": 12.0,
|
| 101 |
+
"eval_loss": 3.1360208988189697,
|
| 102 |
+
"eval_runtime": 0.2359,
|
| 103 |
+
"eval_samples_per_second": 33.913,
|
| 104 |
+
"eval_steps_per_second": 4.239,
|
| 105 |
+
"step": 12
|
| 106 |
},
|
| 107 |
{
|
| 108 |
+
"epoch": 13.0,
|
| 109 |
+
"eval_loss": 2.8865740299224854,
|
| 110 |
+
"eval_runtime": 0.2356,
|
| 111 |
+
"eval_samples_per_second": 33.955,
|
| 112 |
+
"eval_steps_per_second": 4.244,
|
| 113 |
+
"step": 13
|
| 114 |
},
|
| 115 |
{
|
| 116 |
+
"epoch": 14.0,
|
| 117 |
+
"eval_loss": 2.6324548721313477,
|
| 118 |
+
"eval_runtime": 0.234,
|
| 119 |
+
"eval_samples_per_second": 34.185,
|
| 120 |
+
"eval_steps_per_second": 4.273,
|
| 121 |
+
"step": 14
|
| 122 |
},
|
| 123 |
{
|
| 124 |
+
"epoch": 15.0,
|
| 125 |
+
"eval_loss": 2.388902187347412,
|
| 126 |
+
"eval_runtime": 0.2365,
|
| 127 |
+
"eval_samples_per_second": 33.826,
|
| 128 |
+
"eval_steps_per_second": 4.228,
|
| 129 |
+
"step": 15
|
| 130 |
},
|
| 131 |
{
|
| 132 |
+
"epoch": 16.0,
|
| 133 |
+
"eval_loss": 2.1914408206939697,
|
| 134 |
+
"eval_runtime": 0.2324,
|
| 135 |
+
"eval_samples_per_second": 34.427,
|
| 136 |
+
"eval_steps_per_second": 4.303,
|
| 137 |
+
"step": 16
|
| 138 |
},
|
| 139 |
{
|
| 140 |
+
"epoch": 17.0,
|
| 141 |
+
"eval_loss": 2.0423526763916016,
|
| 142 |
+
"eval_runtime": 0.2363,
|
| 143 |
+
"eval_samples_per_second": 33.85,
|
| 144 |
+
"eval_steps_per_second": 4.231,
|
| 145 |
+
"step": 17
|
| 146 |
},
|
| 147 |
{
|
| 148 |
+
"epoch": 18.0,
|
| 149 |
+
"eval_loss": 1.9110742807388306,
|
| 150 |
+
"eval_runtime": 0.2247,
|
| 151 |
+
"eval_samples_per_second": 35.611,
|
| 152 |
+
"eval_steps_per_second": 4.451,
|
| 153 |
+
"step": 18
|
| 154 |
},
|
| 155 |
{
|
| 156 |
+
"epoch": 19.0,
|
| 157 |
+
"eval_loss": 1.7762634754180908,
|
| 158 |
+
"eval_runtime": 0.2365,
|
| 159 |
+
"eval_samples_per_second": 33.825,
|
| 160 |
+
"eval_steps_per_second": 4.228,
|
| 161 |
+
"step": 19
|
| 162 |
},
|
| 163 |
{
|
| 164 |
+
"epoch": 20.0,
|
| 165 |
+
"eval_loss": 1.6505231857299805,
|
| 166 |
+
"eval_runtime": 0.2253,
|
| 167 |
+
"eval_samples_per_second": 35.504,
|
| 168 |
+
"eval_steps_per_second": 4.438,
|
| 169 |
+
"step": 20
|
| 170 |
},
|
| 171 |
{
|
| 172 |
+
"epoch": 21.0,
|
| 173 |
+
"eval_loss": 1.525721788406372,
|
| 174 |
+
"eval_runtime": 0.2362,
|
| 175 |
+
"eval_samples_per_second": 33.872,
|
| 176 |
+
"eval_steps_per_second": 4.234,
|
| 177 |
+
"step": 21
|
| 178 |
},
|
| 179 |
{
|
| 180 |
+
"epoch": 22.0,
|
| 181 |
+
"eval_loss": 1.4125868082046509,
|
| 182 |
+
"eval_runtime": 0.235,
|
| 183 |
+
"eval_samples_per_second": 34.046,
|
| 184 |
+
"eval_steps_per_second": 4.256,
|
| 185 |
+
"step": 22
|
| 186 |
},
|
| 187 |
{
|
| 188 |
+
"epoch": 23.0,
|
| 189 |
+
"eval_loss": 1.3109110593795776,
|
| 190 |
+
"eval_runtime": 0.2369,
|
| 191 |
+
"eval_samples_per_second": 33.769,
|
| 192 |
+
"eval_steps_per_second": 4.221,
|
| 193 |
+
"step": 23
|
| 194 |
},
|
| 195 |
{
|
| 196 |
+
"epoch": 24.0,
|
| 197 |
+
"eval_loss": 1.2188917398452759,
|
| 198 |
+
"eval_runtime": 0.2319,
|
| 199 |
+
"eval_samples_per_second": 34.5,
|
| 200 |
+
"eval_steps_per_second": 4.312,
|
| 201 |
+
"step": 24
|
| 202 |
},
|
| 203 |
{
|
| 204 |
+
"epoch": 25.0,
|
| 205 |
+
"eval_loss": 1.1338324546813965,
|
| 206 |
+
"eval_runtime": 0.2362,
|
| 207 |
+
"eval_samples_per_second": 33.873,
|
| 208 |
+
"eval_steps_per_second": 4.234,
|
| 209 |
+
"step": 25
|
| 210 |
},
|
| 211 |
{
|
| 212 |
+
"epoch": 26.0,
|
| 213 |
+
"eval_loss": 1.0485577583312988,
|
| 214 |
+
"eval_runtime": 0.2311,
|
| 215 |
+
"eval_samples_per_second": 34.62,
|
| 216 |
+
"eval_steps_per_second": 4.328,
|
| 217 |
+
"step": 26
|
| 218 |
},
|
| 219 |
{
|
| 220 |
+
"epoch": 27.0,
|
| 221 |
+
"eval_loss": 0.9640414118766785,
|
| 222 |
+
"eval_runtime": 0.2359,
|
| 223 |
+
"eval_samples_per_second": 33.914,
|
| 224 |
+
"eval_steps_per_second": 4.239,
|
| 225 |
+
"step": 27
|
| 226 |
},
|
| 227 |
{
|
| 228 |
+
"epoch": 28.0,
|
| 229 |
+
"eval_loss": 0.8827559947967529,
|
| 230 |
+
"eval_runtime": 0.2268,
|
| 231 |
+
"eval_samples_per_second": 35.271,
|
| 232 |
+
"eval_steps_per_second": 4.409,
|
| 233 |
+
"step": 28
|
| 234 |
},
|
| 235 |
{
|
| 236 |
+
"epoch": 29.0,
|
| 237 |
+
"eval_loss": 0.8060356378555298,
|
| 238 |
+
"eval_runtime": 0.2364,
|
| 239 |
+
"eval_samples_per_second": 33.848,
|
| 240 |
+
"eval_steps_per_second": 4.231,
|
| 241 |
+
"step": 29
|
| 242 |
},
|
| 243 |
{
|
| 244 |
+
"epoch": 30.0,
|
| 245 |
+
"eval_loss": 0.7329221367835999,
|
| 246 |
+
"eval_runtime": 0.2336,
|
| 247 |
+
"eval_samples_per_second": 34.244,
|
| 248 |
+
"eval_steps_per_second": 4.281,
|
| 249 |
+
"step": 30
|
| 250 |
},
|
| 251 |
{
|
| 252 |
+
"epoch": 31.0,
|
| 253 |
+
"eval_loss": 0.6638815402984619,
|
| 254 |
+
"eval_runtime": 0.2359,
|
| 255 |
+
"eval_samples_per_second": 33.912,
|
| 256 |
+
"eval_steps_per_second": 4.239,
|
| 257 |
+
"step": 31
|
| 258 |
},
|
| 259 |
{
|
| 260 |
+
"epoch": 32.0,
|
| 261 |
+
"eval_loss": 0.6010197997093201,
|
| 262 |
+
"eval_runtime": 0.235,
|
| 263 |
+
"eval_samples_per_second": 34.042,
|
| 264 |
+
"eval_steps_per_second": 4.255,
|
| 265 |
+
"step": 32
|
| 266 |
},
|
| 267 |
{
|
| 268 |
+
"epoch": 33.0,
|
| 269 |
+
"eval_loss": 0.5438850522041321,
|
| 270 |
+
"eval_runtime": 0.2331,
|
| 271 |
+
"eval_samples_per_second": 34.324,
|
| 272 |
+
"eval_steps_per_second": 4.29,
|
| 273 |
+
"step": 33
|
| 274 |
},
|
| 275 |
{
|
| 276 |
+
"epoch": 34.0,
|
| 277 |
+
"eval_loss": 0.4924549162387848,
|
| 278 |
+
"eval_runtime": 0.2353,
|
| 279 |
+
"eval_samples_per_second": 34.004,
|
| 280 |
+
"eval_steps_per_second": 4.25,
|
| 281 |
+
"step": 34
|
| 282 |
},
|
| 283 |
{
|
| 284 |
+
"epoch": 35.0,
|
| 285 |
+
"eval_loss": 0.4471151828765869,
|
| 286 |
+
"eval_runtime": 0.2413,
|
| 287 |
+
"eval_samples_per_second": 33.158,
|
| 288 |
+
"eval_steps_per_second": 4.145,
|
| 289 |
+
"step": 35
|
| 290 |
},
|
| 291 |
{
|
| 292 |
+
"epoch": 36.0,
|
| 293 |
+
"eval_loss": 0.4065961539745331,
|
| 294 |
+
"eval_runtime": 0.2355,
|
| 295 |
+
"eval_samples_per_second": 33.966,
|
| 296 |
+
"eval_steps_per_second": 4.246,
|
| 297 |
+
"step": 36
|
| 298 |
},
|
| 299 |
{
|
| 300 |
+
"epoch": 37.0,
|
| 301 |
+
"eval_loss": 0.3690074682235718,
|
| 302 |
+
"eval_runtime": 0.2363,
|
| 303 |
+
"eval_samples_per_second": 33.853,
|
| 304 |
+
"eval_steps_per_second": 4.232,
|
| 305 |
+
"step": 37
|
| 306 |
},
|
| 307 |
{
|
| 308 |
+
"epoch": 38.0,
|
| 309 |
+
"eval_loss": 0.3340989649295807,
|
| 310 |
+
"eval_runtime": 0.2363,
|
| 311 |
+
"eval_samples_per_second": 33.86,
|
| 312 |
+
"eval_steps_per_second": 4.232,
|
| 313 |
+
"step": 38
|
| 314 |
},
|
| 315 |
{
|
| 316 |
+
"epoch": 39.0,
|
| 317 |
+
"eval_loss": 0.3023061454296112,
|
| 318 |
+
"eval_runtime": 0.2338,
|
| 319 |
+
"eval_samples_per_second": 34.218,
|
| 320 |
+
"eval_steps_per_second": 4.277,
|
| 321 |
+
"step": 39
|
| 322 |
},
|
| 323 |
{
|
| 324 |
+
"epoch": 40.0,
|
| 325 |
+
"eval_loss": 0.27456292510032654,
|
| 326 |
+
"eval_runtime": 0.2359,
|
| 327 |
+
"eval_samples_per_second": 33.907,
|
| 328 |
+
"eval_steps_per_second": 4.238,
|
| 329 |
+
"step": 40
|
| 330 |
},
|
| 331 |
{
|
| 332 |
+
"epoch": 41.0,
|
| 333 |
+
"eval_loss": 0.24695347249507904,
|
| 334 |
+
"eval_runtime": 0.2296,
|
| 335 |
+
"eval_samples_per_second": 34.843,
|
| 336 |
+
"eval_steps_per_second": 4.355,
|
| 337 |
+
"step": 41
|
| 338 |
},
|
| 339 |
{
|
| 340 |
+
"epoch": 42.0,
|
| 341 |
+
"eval_loss": 0.220541313290596,
|
| 342 |
+
"eval_runtime": 0.2354,
|
| 343 |
+
"eval_samples_per_second": 33.99,
|
| 344 |
+
"eval_steps_per_second": 4.249,
|
| 345 |
+
"step": 42
|
| 346 |
},
|
| 347 |
{
|
| 348 |
+
"epoch": 43.0,
|
| 349 |
+
"eval_loss": 0.19677509367465973,
|
| 350 |
+
"eval_runtime": 0.2327,
|
| 351 |
+
"eval_samples_per_second": 34.379,
|
| 352 |
+
"eval_steps_per_second": 4.297,
|
| 353 |
+
"step": 43
|
| 354 |
},
|
| 355 |
{
|
| 356 |
+
"epoch": 44.0,
|
| 357 |
+
"eval_loss": 0.17713746428489685,
|
| 358 |
+
"eval_runtime": 0.2348,
|
| 359 |
+
"eval_samples_per_second": 34.066,
|
| 360 |
+
"eval_steps_per_second": 4.258,
|
| 361 |
+
"step": 44
|
| 362 |
},
|
| 363 |
{
|
| 364 |
+
"epoch": 45.0,
|
| 365 |
+
"eval_loss": 0.15933585166931152,
|
| 366 |
+
"eval_runtime": 0.2234,
|
| 367 |
+
"eval_samples_per_second": 35.814,
|
| 368 |
+
"eval_steps_per_second": 4.477,
|
| 369 |
+
"step": 45
|
| 370 |
},
|
| 371 |
{
|
| 372 |
+
"epoch": 46.0,
|
| 373 |
+
"eval_loss": 0.14242056012153625,
|
| 374 |
+
"eval_runtime": 0.2366,
|
| 375 |
+
"eval_samples_per_second": 33.807,
|
| 376 |
+
"eval_steps_per_second": 4.226,
|
| 377 |
+
"step": 46
|
| 378 |
},
|
| 379 |
{
|
| 380 |
+
"epoch": 47.0,
|
| 381 |
+
"eval_loss": 0.1287701427936554,
|
| 382 |
+
"eval_runtime": 0.2313,
|
| 383 |
+
"eval_samples_per_second": 34.594,
|
| 384 |
+
"eval_steps_per_second": 4.324,
|
| 385 |
+
"step": 47
|
| 386 |
},
|
| 387 |
{
|
| 388 |
+
"epoch": 48.0,
|
| 389 |
+
"eval_loss": 0.11695855855941772,
|
| 390 |
+
"eval_runtime": 0.2269,
|
| 391 |
+
"eval_samples_per_second": 35.251,
|
| 392 |
+
"eval_steps_per_second": 4.406,
|
| 393 |
+
"step": 48
|
| 394 |
},
|
| 395 |
{
|
| 396 |
+
"epoch": 49.0,
|
| 397 |
+
"eval_loss": 0.1070137694478035,
|
| 398 |
+
"eval_runtime": 0.2278,
|
| 399 |
+
"eval_samples_per_second": 35.111,
|
| 400 |
+
"eval_steps_per_second": 4.389,
|
| 401 |
+
"step": 49
|
| 402 |
},
|
| 403 |
{
|
| 404 |
+
"epoch": 50.0,
|
| 405 |
+
"eval_loss": 0.09962165355682373,
|
| 406 |
+
"eval_runtime": 0.2347,
|
| 407 |
+
"eval_samples_per_second": 34.085,
|
| 408 |
+
"eval_steps_per_second": 4.261,
|
| 409 |
+
"step": 50
|
| 410 |
},
|
| 411 |
{
|
| 412 |
+
"epoch": 51.0,
|
| 413 |
+
"eval_loss": 0.09394610673189163,
|
| 414 |
+
"eval_runtime": 0.2348,
|
| 415 |
+
"eval_samples_per_second": 34.077,
|
| 416 |
+
"eval_steps_per_second": 4.26,
|
| 417 |
+
"step": 51
|
| 418 |
},
|
| 419 |
{
|
| 420 |
+
"epoch": 52.0,
|
| 421 |
+
"eval_loss": 0.08877500891685486,
|
| 422 |
+
"eval_runtime": 0.2326,
|
| 423 |
+
"eval_samples_per_second": 34.394,
|
| 424 |
+
"eval_steps_per_second": 4.299,
|
| 425 |
+
"step": 52
|
| 426 |
},
|
| 427 |
{
|
| 428 |
+
"epoch": 53.0,
|
| 429 |
+
"eval_loss": 0.08450286090373993,
|
| 430 |
+
"eval_runtime": 0.2348,
|
| 431 |
+
"eval_samples_per_second": 34.07,
|
| 432 |
+
"eval_steps_per_second": 4.259,
|
| 433 |
+
"step": 53
|
| 434 |
},
|
| 435 |
{
|
| 436 |
+
"epoch": 54.0,
|
| 437 |
+
"eval_loss": 0.0817728266119957,
|
| 438 |
+
"eval_runtime": 0.2313,
|
| 439 |
+
"eval_samples_per_second": 34.588,
|
| 440 |
+
"eval_steps_per_second": 4.324,
|
| 441 |
+
"step": 54
|
| 442 |
},
|
| 443 |
{
|
| 444 |
+
"epoch": 55.0,
|
| 445 |
+
"eval_loss": 0.07895343005657196,
|
| 446 |
+
"eval_runtime": 0.2359,
|
| 447 |
+
"eval_samples_per_second": 33.915,
|
| 448 |
+
"eval_steps_per_second": 4.239,
|
| 449 |
+
"step": 55
|
| 450 |
},
|
| 451 |
{
|
| 452 |
+
"epoch": 56.0,
|
| 453 |
+
"eval_loss": 0.07630708068609238,
|
| 454 |
+
"eval_runtime": 0.2283,
|
| 455 |
+
"eval_samples_per_second": 35.038,
|
| 456 |
+
"eval_steps_per_second": 4.38,
|
| 457 |
+
"step": 56
|
| 458 |
},
|
| 459 |
{
|
| 460 |
+
"epoch": 57.0,
|
| 461 |
+
"eval_loss": 0.0731731578707695,
|
| 462 |
+
"eval_runtime": 0.2364,
|
| 463 |
+
"eval_samples_per_second": 33.835,
|
| 464 |
+
"eval_steps_per_second": 4.229,
|
| 465 |
+
"step": 57
|
| 466 |
},
|
| 467 |
{
|
| 468 |
+
"epoch": 58.0,
|
| 469 |
+
"eval_loss": 0.06972303986549377,
|
| 470 |
+
"eval_runtime": 0.2275,
|
| 471 |
+
"eval_samples_per_second": 35.171,
|
| 472 |
+
"eval_steps_per_second": 4.396,
|
| 473 |
+
"step": 58
|
| 474 |
},
|
| 475 |
{
|
| 476 |
+
"epoch": 59.0,
|
| 477 |
+
"eval_loss": 0.06655264645814896,
|
| 478 |
+
"eval_runtime": 0.2357,
|
| 479 |
+
"eval_samples_per_second": 33.941,
|
| 480 |
+
"eval_steps_per_second": 4.243,
|
| 481 |
+
"step": 59
|
| 482 |
},
|
| 483 |
{
|
| 484 |
+
"epoch": 60.0,
|
| 485 |
+
"eval_loss": 0.06421676278114319,
|
| 486 |
+
"eval_runtime": 0.2353,
|
| 487 |
+
"eval_samples_per_second": 34.001,
|
| 488 |
+
"eval_steps_per_second": 4.25,
|
| 489 |
+
"step": 60
|
| 490 |
},
|
| 491 |
{
|
| 492 |
+
"epoch": 61.0,
|
| 493 |
+
"eval_loss": 0.06110429763793945,
|
| 494 |
+
"eval_runtime": 0.2361,
|
| 495 |
+
"eval_samples_per_second": 33.886,
|
| 496 |
+
"eval_steps_per_second": 4.236,
|
| 497 |
+
"step": 61
|
| 498 |
},
|
| 499 |
{
|
| 500 |
+
"epoch": 62.0,
|
| 501 |
+
"eval_loss": 0.05834279954433441,
|
| 502 |
+
"eval_runtime": 0.2379,
|
| 503 |
+
"eval_samples_per_second": 33.624,
|
| 504 |
+
"eval_steps_per_second": 4.203,
|
| 505 |
+
"step": 62
|
| 506 |
},
|
| 507 |
{
|
| 508 |
+
"epoch": 63.0,
|
| 509 |
+
"eval_loss": 0.055961962789297104,
|
| 510 |
+
"eval_runtime": 0.2264,
|
| 511 |
+
"eval_samples_per_second": 35.335,
|
| 512 |
+
"eval_steps_per_second": 4.417,
|
| 513 |
+
"step": 63
|
| 514 |
},
|
| 515 |
{
|
| 516 |
+
"epoch": 64.0,
|
| 517 |
+
"eval_loss": 0.05323232710361481,
|
| 518 |
+
"eval_runtime": 0.2359,
|
| 519 |
+
"eval_samples_per_second": 33.916,
|
| 520 |
+
"eval_steps_per_second": 4.24,
|
| 521 |
+
"step": 64
|
| 522 |
},
|
| 523 |
{
|
| 524 |
+
"epoch": 65.0,
|
| 525 |
+
"eval_loss": 0.051185671240091324,
|
| 526 |
+
"eval_runtime": 0.2338,
|
| 527 |
+
"eval_samples_per_second": 34.213,
|
| 528 |
+
"eval_steps_per_second": 4.277,
|
| 529 |
+
"step": 65
|
| 530 |
},
|
| 531 |
{
|
| 532 |
+
"epoch": 66.0,
|
| 533 |
+
"eval_loss": 0.04865783825516701,
|
| 534 |
+
"eval_runtime": 0.2358,
|
| 535 |
+
"eval_samples_per_second": 33.928,
|
| 536 |
+
"eval_steps_per_second": 4.241,
|
| 537 |
+
"step": 66
|
| 538 |
},
|
| 539 |
{
|
| 540 |
+
"epoch": 67.0,
|
| 541 |
+
"eval_loss": 0.04639100283384323,
|
| 542 |
+
"eval_runtime": 0.2281,
|
| 543 |
+
"eval_samples_per_second": 35.066,
|
| 544 |
+
"eval_steps_per_second": 4.383,
|
| 545 |
+
"step": 67
|
| 546 |
},
|
| 547 |
{
|
| 548 |
+
"epoch": 68.0,
|
| 549 |
+
"eval_loss": 0.04309353977441788,
|
| 550 |
+
"eval_runtime": 0.2365,
|
| 551 |
+
"eval_samples_per_second": 33.827,
|
| 552 |
+
"eval_steps_per_second": 4.228,
|
| 553 |
+
"step": 68
|
| 554 |
},
|
| 555 |
{
|
| 556 |
+
"epoch": 69.0,
|
| 557 |
+
"eval_loss": 0.03992551565170288,
|
| 558 |
+
"eval_runtime": 0.2324,
|
| 559 |
+
"eval_samples_per_second": 34.422,
|
| 560 |
+
"eval_steps_per_second": 4.303,
|
| 561 |
+
"step": 69
|
| 562 |
},
|
| 563 |
{
|
| 564 |
+
"epoch": 70.0,
|
| 565 |
+
"eval_loss": 0.03812782093882561,
|
| 566 |
+
"eval_runtime": 0.2236,
|
| 567 |
+
"eval_samples_per_second": 35.783,
|
| 568 |
+
"eval_steps_per_second": 4.473,
|
| 569 |
+
"step": 70
|
| 570 |
},
|
| 571 |
{
|
| 572 |
+
"epoch": 71.0,
|
| 573 |
+
"eval_loss": 0.03636465594172478,
|
| 574 |
+
"eval_runtime": 0.2325,
|
| 575 |
+
"eval_samples_per_second": 34.401,
|
| 576 |
+
"eval_steps_per_second": 4.3,
|
| 577 |
+
"step": 71
|
| 578 |
},
|
| 579 |
{
|
| 580 |
+
"epoch": 72.0,
|
| 581 |
+
"eval_loss": 0.034834641963243484,
|
| 582 |
+
"eval_runtime": 0.2358,
|
| 583 |
+
"eval_samples_per_second": 33.926,
|
| 584 |
+
"eval_steps_per_second": 4.241,
|
| 585 |
+
"step": 72
|
| 586 |
},
|
| 587 |
{
|
| 588 |
+
"epoch": 73.0,
|
| 589 |
+
"eval_loss": 0.03329307958483696,
|
| 590 |
+
"eval_runtime": 0.2345,
|
| 591 |
+
"eval_samples_per_second": 34.111,
|
| 592 |
+
"eval_steps_per_second": 4.264,
|
| 593 |
+
"step": 73
|
| 594 |
},
|
| 595 |
{
|
| 596 |
+
"epoch": 74.0,
|
| 597 |
+
"eval_loss": 0.031552691012620926,
|
| 598 |
+
"eval_runtime": 0.2364,
|
| 599 |
+
"eval_samples_per_second": 33.845,
|
| 600 |
+
"eval_steps_per_second": 4.231,
|
| 601 |
+
"step": 74
|
| 602 |
},
|
| 603 |
{
|
| 604 |
+
"epoch": 75.0,
|
| 605 |
+
"eval_loss": 0.029882650822401047,
|
| 606 |
+
"eval_runtime": 0.2329,
|
| 607 |
+
"eval_samples_per_second": 34.351,
|
| 608 |
+
"eval_steps_per_second": 4.294,
|
| 609 |
+
"step": 75
|
| 610 |
},
|
| 611 |
{
|
| 612 |
+
"epoch": 76.0,
|
| 613 |
+
"eval_loss": 0.028516214340925217,
|
| 614 |
+
"eval_runtime": 0.2359,
|
| 615 |
+
"eval_samples_per_second": 33.907,
|
| 616 |
+
"eval_steps_per_second": 4.238,
|
| 617 |
+
"step": 76
|
| 618 |
},
|
| 619 |
{
|
| 620 |
+
"epoch": 77.0,
|
| 621 |
+
"eval_loss": 0.027370158582925797,
|
| 622 |
+
"eval_runtime": 0.2246,
|
| 623 |
+
"eval_samples_per_second": 35.624,
|
| 624 |
+
"eval_steps_per_second": 4.453,
|
| 625 |
+
"step": 77
|
| 626 |
},
|
| 627 |
{
|
| 628 |
+
"epoch": 78.0,
|
| 629 |
+
"eval_loss": 0.026426443830132484,
|
| 630 |
+
"eval_runtime": 0.2254,
|
| 631 |
+
"eval_samples_per_second": 35.492,
|
| 632 |
+
"eval_steps_per_second": 4.436,
|
| 633 |
+
"step": 78
|
| 634 |
},
|
| 635 |
{
|
| 636 |
+
"epoch": 79.0,
|
| 637 |
+
"eval_loss": 0.02534804865717888,
|
| 638 |
+
"eval_runtime": 0.2295,
|
| 639 |
+
"eval_samples_per_second": 34.856,
|
| 640 |
+
"eval_steps_per_second": 4.357,
|
| 641 |
+
"step": 79
|
| 642 |
},
|
| 643 |
{
|
| 644 |
+
"epoch": 80.0,
|
| 645 |
+
"eval_loss": 0.024182336404919624,
|
| 646 |
+
"eval_runtime": 0.2363,
|
| 647 |
+
"eval_samples_per_second": 33.856,
|
| 648 |
+
"eval_steps_per_second": 4.232,
|
| 649 |
+
"step": 80
|
| 650 |
},
|
| 651 |
{
|
| 652 |
+
"epoch": 81.0,
|
| 653 |
+
"eval_loss": 0.023593546822667122,
|
| 654 |
+
"eval_runtime": 0.2361,
|
| 655 |
+
"eval_samples_per_second": 33.881,
|
| 656 |
+
"eval_steps_per_second": 4.235,
|
| 657 |
+
"step": 81
|
| 658 |
},
|
| 659 |
{
|
| 660 |
+
"epoch": 82.0,
|
| 661 |
+
"eval_loss": 0.023052040487527847,
|
| 662 |
+
"eval_runtime": 0.2361,
|
| 663 |
+
"eval_samples_per_second": 33.879,
|
| 664 |
+
"eval_steps_per_second": 4.235,
|
| 665 |
+
"step": 82
|
| 666 |
},
|
| 667 |
{
|
| 668 |
+
"epoch": 83.0,
|
| 669 |
+
"eval_loss": 0.02290300466120243,
|
| 670 |
+
"eval_runtime": 0.2361,
|
| 671 |
+
"eval_samples_per_second": 33.884,
|
| 672 |
+
"eval_steps_per_second": 4.236,
|
| 673 |
+
"step": 83
|
| 674 |
},
|
| 675 |
{
|
| 676 |
+
"epoch": 84.0,
|
| 677 |
+
"eval_loss": 0.02261677198112011,
|
| 678 |
+
"eval_runtime": 0.2286,
|
| 679 |
+
"eval_samples_per_second": 35.002,
|
| 680 |
+
"eval_steps_per_second": 4.375,
|
| 681 |
+
"step": 84
|
| 682 |
},
|
| 683 |
{
|
| 684 |
+
"epoch": 85.0,
|
| 685 |
+
"eval_loss": 0.022289568558335304,
|
| 686 |
+
"eval_runtime": 0.2353,
|
| 687 |
+
"eval_samples_per_second": 34.003,
|
| 688 |
+
"eval_steps_per_second": 4.25,
|
| 689 |
+
"step": 85
|
| 690 |
},
|
| 691 |
{
|
| 692 |
+
"epoch": 86.0,
|
| 693 |
+
"eval_loss": 0.02184910513460636,
|
| 694 |
+
"eval_runtime": 0.2287,
|
| 695 |
+
"eval_samples_per_second": 34.986,
|
| 696 |
+
"eval_steps_per_second": 4.373,
|
| 697 |
+
"step": 86
|
| 698 |
+
},
|
| 699 |
+
{
|
| 700 |
+
"epoch": 87.0,
|
| 701 |
+
"eval_loss": 0.021228935569524765,
|
| 702 |
+
"eval_runtime": 0.2349,
|
| 703 |
+
"eval_samples_per_second": 34.051,
|
| 704 |
+
"eval_steps_per_second": 4.256,
|
| 705 |
+
"step": 87
|
| 706 |
+
},
|
| 707 |
+
{
|
| 708 |
+
"epoch": 88.0,
|
| 709 |
+
"eval_loss": 0.020517783239483833,
|
| 710 |
+
"eval_runtime": 0.2353,
|
| 711 |
+
"eval_samples_per_second": 34.002,
|
| 712 |
+
"eval_steps_per_second": 4.25,
|
| 713 |
+
"step": 88
|
| 714 |
+
},
|
| 715 |
+
{
|
| 716 |
+
"epoch": 89.0,
|
| 717 |
+
"eval_loss": 0.019832810387015343,
|
| 718 |
+
"eval_runtime": 0.2232,
|
| 719 |
+
"eval_samples_per_second": 35.839,
|
| 720 |
+
"eval_steps_per_second": 4.48,
|
| 721 |
+
"step": 89
|
| 722 |
+
},
|
| 723 |
+
{
|
| 724 |
+
"epoch": 90.0,
|
| 725 |
+
"eval_loss": 0.0191506277769804,
|
| 726 |
+
"eval_runtime": 0.2312,
|
| 727 |
+
"eval_samples_per_second": 34.605,
|
| 728 |
+
"eval_steps_per_second": 4.326,
|
| 729 |
+
"step": 90
|
| 730 |
+
},
|
| 731 |
+
{
|
| 732 |
+
"epoch": 91.0,
|
| 733 |
+
"eval_loss": 0.018617864698171616,
|
| 734 |
+
"eval_runtime": 0.2243,
|
| 735 |
+
"eval_samples_per_second": 35.667,
|
| 736 |
+
"eval_steps_per_second": 4.458,
|
| 737 |
+
"step": 91
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 92.0,
|
| 741 |
+
"eval_loss": 0.01811818592250347,
|
| 742 |
+
"eval_runtime": 0.2348,
|
| 743 |
+
"eval_samples_per_second": 34.07,
|
| 744 |
+
"eval_steps_per_second": 4.259,
|
| 745 |
+
"step": 92
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 93.0,
|
| 749 |
+
"eval_loss": 0.01765601523220539,
|
| 750 |
+
"eval_runtime": 0.2363,
|
| 751 |
+
"eval_samples_per_second": 33.853,
|
| 752 |
+
"eval_steps_per_second": 4.232,
|
| 753 |
+
"step": 93
|
| 754 |
+
},
|
| 755 |
+
{
|
| 756 |
+
"epoch": 94.0,
|
| 757 |
+
"eval_loss": 0.017278417944908142,
|
| 758 |
+
"eval_runtime": 0.2264,
|
| 759 |
+
"eval_samples_per_second": 35.331,
|
| 760 |
+
"eval_steps_per_second": 4.416,
|
| 761 |
+
"step": 94
|
| 762 |
+
},
|
| 763 |
+
{
|
| 764 |
+
"epoch": 95.0,
|
| 765 |
+
"eval_loss": 0.016984442248940468,
|
| 766 |
+
"eval_runtime": 0.2349,
|
| 767 |
+
"eval_samples_per_second": 34.053,
|
| 768 |
+
"eval_steps_per_second": 4.257,
|
| 769 |
+
"step": 95
|
| 770 |
+
},
|
| 771 |
+
{
|
| 772 |
+
"epoch": 96.0,
|
| 773 |
+
"eval_loss": 0.01675889454782009,
|
| 774 |
+
"eval_runtime": 0.2343,
|
| 775 |
+
"eval_samples_per_second": 34.141,
|
| 776 |
+
"eval_steps_per_second": 4.268,
|
| 777 |
+
"step": 96
|
| 778 |
+
},
|
| 779 |
+
{
|
| 780 |
+
"epoch": 97.0,
|
| 781 |
+
"eval_loss": 0.016593070700764656,
|
| 782 |
+
"eval_runtime": 0.2359,
|
| 783 |
+
"eval_samples_per_second": 33.915,
|
| 784 |
+
"eval_steps_per_second": 4.239,
|
| 785 |
+
"step": 97
|
| 786 |
+
},
|
| 787 |
+
{
|
| 788 |
+
"epoch": 98.0,
|
| 789 |
+
"eval_loss": 0.016466278582811356,
|
| 790 |
+
"eval_runtime": 0.2296,
|
| 791 |
+
"eval_samples_per_second": 34.851,
|
| 792 |
+
"eval_steps_per_second": 4.356,
|
| 793 |
+
"step": 98
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 99.0,
|
| 797 |
+
"eval_loss": 0.016385838389396667,
|
| 798 |
+
"eval_runtime": 0.2364,
|
| 799 |
+
"eval_samples_per_second": 33.84,
|
| 800 |
+
"eval_steps_per_second": 4.23,
|
| 801 |
+
"step": 99
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 100.0,
|
| 805 |
+
"learning_rate": 0.0,
|
| 806 |
+
"loss": 1.4009,
|
| 807 |
+
"step": 100
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 100.0,
|
| 811 |
+
"eval_loss": 0.016336046159267426,
|
| 812 |
+
"eval_runtime": 0.2203,
|
| 813 |
+
"eval_samples_per_second": 36.315,
|
| 814 |
+
"eval_steps_per_second": 4.539,
|
| 815 |
+
"step": 100
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"epoch": 100.0,
|
| 819 |
+
"step": 100,
|
| 820 |
+
"total_flos": 487166312448000.0,
|
| 821 |
+
"train_loss": 1.40092041015625,
|
| 822 |
+
"train_runtime": 1064.353,
|
| 823 |
+
"train_samples_per_second": 0.752,
|
| 824 |
+
"train_steps_per_second": 0.094
|
| 825 |
}
|
| 826 |
],
|
| 827 |
"logging_steps": 100,
|
| 828 |
+
"max_steps": 100,
|
| 829 |
+
"num_train_epochs": 100,
|
| 830 |
"save_steps": 500,
|
| 831 |
+
"total_flos": 487166312448000.0,
|
| 832 |
"trial_name": null,
|
| 833 |
"trial_params": null
|
| 834 |
}
|