Commit
•
6d01da9
1
Parent(s):
e7b3a7d
End of training
Browse files- all_results.json +10 -10
- eval_results.json +5 -5
- runs/Oct29_06-12-06_ddfe0230610b/events.out.tfevents.1667031626.ddfe0230610b.17.2 +3 -0
- train_results.json +5 -5
- trainer_state.json +548 -2867
all_results.json
CHANGED
|
@@ -1,13 +1,13 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 10.0,
|
| 3 |
-
"eval_accuracy": 0.
|
| 4 |
-
"eval_loss": 0.
|
| 5 |
-
"eval_runtime":
|
| 6 |
-
"eval_samples_per_second":
|
| 7 |
-
"eval_steps_per_second":
|
| 8 |
-
"total_flos": 1.
|
| 9 |
-
"train_loss": 0.
|
| 10 |
-
"train_runtime":
|
| 11 |
-
"train_samples_per_second":
|
| 12 |
-
"train_steps_per_second": 0.
|
| 13 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 10.0,
|
| 3 |
+
"eval_accuracy": 0.8705607476635514,
|
| 4 |
+
"eval_loss": 0.3742366135120392,
|
| 5 |
+
"eval_runtime": 43.3876,
|
| 6 |
+
"eval_samples_per_second": 49.323,
|
| 7 |
+
"eval_steps_per_second": 1.544,
|
| 8 |
+
"total_flos": 1.4918616518411741e+19,
|
| 9 |
+
"train_loss": 0.4060697093009949,
|
| 10 |
+
"train_runtime": 6764.8563,
|
| 11 |
+
"train_samples_per_second": 28.466,
|
| 12 |
+
"train_steps_per_second": 0.222
|
| 13 |
}
|
eval_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 10.0,
|
| 3 |
-
"eval_accuracy": 0.
|
| 4 |
-
"eval_loss": 0.
|
| 5 |
-
"eval_runtime":
|
| 6 |
-
"eval_samples_per_second":
|
| 7 |
-
"eval_steps_per_second":
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 10.0,
|
| 3 |
+
"eval_accuracy": 0.8705607476635514,
|
| 4 |
+
"eval_loss": 0.3742366135120392,
|
| 5 |
+
"eval_runtime": 43.3876,
|
| 6 |
+
"eval_samples_per_second": 49.323,
|
| 7 |
+
"eval_steps_per_second": 1.544
|
| 8 |
}
|
runs/Oct29_06-12-06_ddfe0230610b/events.out.tfevents.1667031626.ddfe0230610b.17.2
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:769c6fe8669e6bb736e79135e8df32945b0e27eec7d942ad4e06d3f0449edcf5
|
| 3 |
+
size 363
|
train_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 10.0,
|
| 3 |
-
"total_flos": 1.
|
| 4 |
-
"train_loss": 0.
|
| 5 |
-
"train_runtime":
|
| 6 |
-
"train_samples_per_second":
|
| 7 |
-
"train_steps_per_second": 0.
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 10.0,
|
| 3 |
+
"total_flos": 1.4918616518411741e+19,
|
| 4 |
+
"train_loss": 0.4060697093009949,
|
| 5 |
+
"train_runtime": 6764.8563,
|
| 6 |
+
"train_samples_per_second": 28.466,
|
| 7 |
+
"train_steps_per_second": 0.222
|
| 8 |
}
|
trainer_state.json
CHANGED
|
@@ -1,3334 +1,1015 @@
|
|
| 1 |
{
|
| 2 |
-
"best_metric": 0.
|
| 3 |
-
"best_model_checkpoint": "vit-base-patch16-224-in21k-finetuned-cassava/checkpoint-
|
| 4 |
-
"epoch":
|
| 5 |
-
"global_step":
|
| 6 |
"is_hyper_param_search": false,
|
| 7 |
"is_local_process_zero": true,
|
| 8 |
"is_world_process_zero": true,
|
| 9 |
"log_history": [
|
| 10 |
{
|
| 11 |
-
"epoch": 0.
|
| 12 |
-
"learning_rate":
|
| 13 |
-
"loss": 1.
|
| 14 |
"step": 10
|
| 15 |
},
|
| 16 |
{
|
| 17 |
-
"epoch": 0.
|
| 18 |
-
"learning_rate":
|
| 19 |
-
"loss": 1.
|
| 20 |
"step": 20
|
| 21 |
},
|
| 22 |
{
|
| 23 |
-
"epoch": 0.
|
| 24 |
-
"learning_rate":
|
| 25 |
-
"loss": 1.
|
| 26 |
"step": 30
|
| 27 |
},
|
| 28 |
{
|
| 29 |
-
"epoch": 0.
|
| 30 |
-
"learning_rate":
|
| 31 |
-
"loss": 1.
|
| 32 |
"step": 40
|
| 33 |
},
|
| 34 |
{
|
| 35 |
-
"epoch": 0.
|
| 36 |
-
"learning_rate":
|
| 37 |
-
"loss": 1.
|
| 38 |
"step": 50
|
| 39 |
},
|
| 40 |
{
|
| 41 |
-
"epoch": 0.
|
| 42 |
-
"learning_rate":
|
| 43 |
-
"loss": 1.
|
| 44 |
"step": 60
|
| 45 |
},
|
| 46 |
{
|
| 47 |
-
"epoch": 0.
|
| 48 |
-
"learning_rate":
|
| 49 |
-
"loss":
|
| 50 |
"step": 70
|
| 51 |
},
|
| 52 |
{
|
| 53 |
-
"epoch": 0.
|
| 54 |
-
"learning_rate":
|
| 55 |
-
"loss":
|
| 56 |
"step": 80
|
| 57 |
},
|
| 58 |
{
|
| 59 |
-
"epoch": 0.
|
| 60 |
-
"learning_rate":
|
| 61 |
-
"loss":
|
| 62 |
"step": 90
|
| 63 |
},
|
| 64 |
{
|
| 65 |
-
"epoch": 0.
|
| 66 |
-
"learning_rate":
|
| 67 |
-
"loss":
|
| 68 |
"step": 100
|
| 69 |
},
|
| 70 |
{
|
| 71 |
-
"epoch": 0.
|
| 72 |
-
"learning_rate":
|
| 73 |
-
"loss":
|
| 74 |
"step": 110
|
| 75 |
},
|
| 76 |
{
|
| 77 |
-
"epoch": 0.
|
| 78 |
-
"learning_rate":
|
| 79 |
-
"loss":
|
| 80 |
"step": 120
|
| 81 |
},
|
| 82 |
{
|
| 83 |
-
"epoch": 0.
|
| 84 |
-
"learning_rate":
|
| 85 |
-
"loss":
|
| 86 |
"step": 130
|
| 87 |
},
|
| 88 |
{
|
| 89 |
-
"epoch": 0.
|
| 90 |
-
"learning_rate":
|
| 91 |
-
"loss": 0.
|
| 92 |
"step": 140
|
| 93 |
},
|
| 94 |
{
|
| 95 |
-
"epoch": 0
|
| 96 |
-
"learning_rate":
|
| 97 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 98 |
"step": 150
|
| 99 |
},
|
| 100 |
{
|
| 101 |
-
"epoch":
|
| 102 |
-
"learning_rate":
|
| 103 |
-
"loss": 0.
|
| 104 |
"step": 160
|
| 105 |
},
|
| 106 |
{
|
| 107 |
-
"epoch":
|
| 108 |
-
"learning_rate":
|
| 109 |
-
"loss": 0.
|
| 110 |
"step": 170
|
| 111 |
},
|
| 112 |
{
|
| 113 |
-
"epoch":
|
| 114 |
-
"learning_rate":
|
| 115 |
-
"loss": 0.
|
| 116 |
"step": 180
|
| 117 |
},
|
| 118 |
{
|
| 119 |
-
"epoch":
|
| 120 |
-
"learning_rate":
|
| 121 |
-
"loss": 0.
|
| 122 |
"step": 190
|
| 123 |
},
|
| 124 |
{
|
| 125 |
-
"epoch":
|
| 126 |
-
"learning_rate":
|
| 127 |
-
"loss": 0.
|
| 128 |
"step": 200
|
| 129 |
},
|
| 130 |
{
|
| 131 |
-
"epoch":
|
| 132 |
-
"learning_rate":
|
| 133 |
-
"loss": 0.
|
| 134 |
"step": 210
|
| 135 |
},
|
| 136 |
{
|
| 137 |
-
"epoch":
|
| 138 |
-
"learning_rate":
|
| 139 |
-
"loss": 0.
|
| 140 |
"step": 220
|
| 141 |
},
|
| 142 |
{
|
| 143 |
-
"epoch":
|
| 144 |
-
"learning_rate":
|
| 145 |
-
"loss": 0.
|
| 146 |
"step": 230
|
| 147 |
},
|
| 148 |
{
|
| 149 |
-
"epoch":
|
| 150 |
-
"learning_rate":
|
| 151 |
-
"loss": 0.
|
| 152 |
"step": 240
|
| 153 |
},
|
| 154 |
{
|
| 155 |
-
"epoch":
|
| 156 |
-
"learning_rate":
|
| 157 |
-
"loss": 0.
|
| 158 |
"step": 250
|
| 159 |
},
|
| 160 |
{
|
| 161 |
-
"epoch":
|
| 162 |
-
"learning_rate":
|
| 163 |
-
"loss": 0.
|
| 164 |
"step": 260
|
| 165 |
},
|
| 166 |
{
|
| 167 |
-
"epoch":
|
| 168 |
-
"learning_rate":
|
| 169 |
-
"loss": 0.
|
| 170 |
"step": 270
|
| 171 |
},
|
| 172 |
{
|
| 173 |
-
"epoch":
|
| 174 |
-
"learning_rate":
|
| 175 |
-
"loss": 0.
|
| 176 |
"step": 280
|
| 177 |
},
|
| 178 |
{
|
| 179 |
-
"epoch":
|
| 180 |
-
"learning_rate":
|
| 181 |
-
"loss": 0.
|
| 182 |
"step": 290
|
| 183 |
},
|
| 184 |
{
|
| 185 |
-
"epoch": 0
|
| 186 |
-
"learning_rate":
|
| 187 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 188 |
"step": 300
|
| 189 |
},
|
| 190 |
{
|
| 191 |
-
"epoch":
|
| 192 |
-
"learning_rate":
|
| 193 |
-
"loss": 0.
|
| 194 |
"step": 310
|
| 195 |
},
|
| 196 |
{
|
| 197 |
-
"epoch":
|
| 198 |
-
"learning_rate":
|
| 199 |
-
"loss": 0.
|
| 200 |
"step": 320
|
| 201 |
},
|
| 202 |
{
|
| 203 |
-
"epoch":
|
| 204 |
-
"learning_rate":
|
| 205 |
-
"loss": 0.
|
| 206 |
"step": 330
|
| 207 |
},
|
| 208 |
{
|
| 209 |
-
"epoch":
|
| 210 |
-
"learning_rate":
|
| 211 |
-
"loss": 0.
|
| 212 |
"step": 340
|
| 213 |
},
|
| 214 |
{
|
| 215 |
-
"epoch":
|
| 216 |
-
"learning_rate":
|
| 217 |
-
"loss": 0.
|
| 218 |
"step": 350
|
| 219 |
},
|
| 220 |
{
|
| 221 |
-
"epoch":
|
| 222 |
-
"learning_rate":
|
| 223 |
-
"loss": 0.
|
| 224 |
"step": 360
|
| 225 |
},
|
| 226 |
{
|
| 227 |
-
"epoch":
|
| 228 |
-
"learning_rate":
|
| 229 |
-
"loss": 0.
|
| 230 |
"step": 370
|
| 231 |
},
|
| 232 |
{
|
| 233 |
-
"epoch":
|
| 234 |
-
"learning_rate":
|
| 235 |
-
"loss": 0.
|
| 236 |
"step": 380
|
| 237 |
},
|
| 238 |
{
|
| 239 |
-
"epoch":
|
| 240 |
-
"learning_rate":
|
| 241 |
-
"loss": 0.
|
| 242 |
"step": 390
|
| 243 |
},
|
| 244 |
{
|
| 245 |
-
"epoch":
|
| 246 |
-
"learning_rate":
|
| 247 |
-
"loss": 0.
|
| 248 |
"step": 400
|
| 249 |
},
|
| 250 |
{
|
| 251 |
-
"epoch":
|
| 252 |
-
"learning_rate":
|
| 253 |
-
"loss": 0.
|
| 254 |
"step": 410
|
| 255 |
},
|
| 256 |
{
|
| 257 |
-
"epoch":
|
| 258 |
-
"learning_rate":
|
| 259 |
-
"loss": 0.
|
| 260 |
"step": 420
|
| 261 |
},
|
| 262 |
{
|
| 263 |
-
"epoch":
|
| 264 |
-
"learning_rate":
|
| 265 |
-
"loss": 0.
|
| 266 |
"step": 430
|
| 267 |
},
|
| 268 |
{
|
| 269 |
-
"epoch":
|
| 270 |
-
"learning_rate":
|
| 271 |
-
"loss": 0.
|
| 272 |
"step": 440
|
| 273 |
},
|
| 274 |
{
|
| 275 |
-
"epoch": 0
|
| 276 |
-
"learning_rate":
|
| 277 |
-
"loss": 0.
|
| 278 |
"step": 450
|
| 279 |
},
|
| 280 |
{
|
| 281 |
-
"epoch": 0
|
| 282 |
-
"
|
| 283 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 284 |
"step": 460
|
| 285 |
},
|
| 286 |
{
|
| 287 |
-
"epoch":
|
| 288 |
-
"learning_rate":
|
| 289 |
-
"loss": 0.
|
| 290 |
"step": 470
|
| 291 |
},
|
| 292 |
{
|
| 293 |
-
"epoch":
|
| 294 |
-
"learning_rate":
|
| 295 |
-
"loss": 0.
|
| 296 |
"step": 480
|
| 297 |
},
|
| 298 |
{
|
| 299 |
-
"epoch":
|
| 300 |
-
"learning_rate":
|
| 301 |
-
"loss": 0.
|
| 302 |
"step": 490
|
| 303 |
},
|
| 304 |
{
|
| 305 |
-
"epoch":
|
| 306 |
-
"learning_rate":
|
| 307 |
-
"loss": 0.
|
| 308 |
"step": 500
|
| 309 |
},
|
| 310 |
{
|
| 311 |
-
"epoch":
|
| 312 |
-
"learning_rate":
|
| 313 |
-
"loss": 0.
|
| 314 |
"step": 510
|
| 315 |
},
|
| 316 |
{
|
| 317 |
-
"epoch":
|
| 318 |
-
"learning_rate":
|
| 319 |
-
"loss": 0.
|
| 320 |
"step": 520
|
| 321 |
},
|
| 322 |
{
|
| 323 |
-
"epoch":
|
| 324 |
-
"learning_rate":
|
| 325 |
-
"loss": 0.
|
| 326 |
"step": 530
|
| 327 |
},
|
| 328 |
{
|
| 329 |
-
"epoch":
|
| 330 |
-
"
|
| 331 |
-
"
|
| 332 |
-
"eval_runtime": 96.0141,
|
| 333 |
-
"eval_samples_per_second": 44.577,
|
| 334 |
-
"eval_steps_per_second": 5.572,
|
| 335 |
-
"step": 535
|
| 336 |
-
},
|
| 337 |
-
{
|
| 338 |
-
"epoch": 1.01,
|
| 339 |
-
"learning_rate": 4.994807892004154e-05,
|
| 340 |
-
"loss": 0.491,
|
| 341 |
"step": 540
|
| 342 |
},
|
| 343 |
{
|
| 344 |
-
"epoch":
|
| 345 |
-
"learning_rate":
|
| 346 |
-
"loss": 0.
|
| 347 |
"step": 550
|
| 348 |
},
|
| 349 |
{
|
| 350 |
-
"epoch":
|
| 351 |
-
"learning_rate":
|
| 352 |
-
"loss": 0.
|
| 353 |
"step": 560
|
| 354 |
},
|
| 355 |
{
|
| 356 |
-
"epoch":
|
| 357 |
-
"learning_rate":
|
| 358 |
-
"loss": 0.
|
| 359 |
"step": 570
|
| 360 |
},
|
| 361 |
{
|
| 362 |
-
"epoch":
|
| 363 |
-
"learning_rate":
|
| 364 |
-
"loss": 0.
|
| 365 |
"step": 580
|
| 366 |
},
|
| 367 |
{
|
| 368 |
-
"epoch":
|
| 369 |
-
"learning_rate":
|
| 370 |
-
"loss": 0.
|
| 371 |
"step": 590
|
| 372 |
},
|
| 373 |
{
|
| 374 |
-
"epoch":
|
| 375 |
-
"learning_rate":
|
| 376 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 377 |
"step": 600
|
| 378 |
},
|
| 379 |
{
|
| 380 |
-
"epoch":
|
| 381 |
-
"learning_rate":
|
| 382 |
-
"loss": 0.
|
| 383 |
"step": 610
|
| 384 |
},
|
| 385 |
{
|
| 386 |
-
"epoch":
|
| 387 |
-
"learning_rate":
|
| 388 |
-
"loss": 0.
|
| 389 |
"step": 620
|
| 390 |
},
|
| 391 |
{
|
| 392 |
-
"epoch":
|
| 393 |
-
"learning_rate":
|
| 394 |
-
"loss": 0.
|
| 395 |
"step": 630
|
| 396 |
},
|
| 397 |
{
|
| 398 |
-
"epoch":
|
| 399 |
-
"learning_rate":
|
| 400 |
-
"loss": 0.
|
| 401 |
"step": 640
|
| 402 |
},
|
| 403 |
{
|
| 404 |
-
"epoch":
|
| 405 |
-
"learning_rate":
|
| 406 |
-
"loss": 0.
|
| 407 |
"step": 650
|
| 408 |
},
|
| 409 |
{
|
| 410 |
-
"epoch":
|
| 411 |
-
"learning_rate":
|
| 412 |
-
"loss": 0.
|
| 413 |
"step": 660
|
| 414 |
},
|
| 415 |
{
|
| 416 |
-
"epoch":
|
| 417 |
-
"learning_rate":
|
| 418 |
-
"loss": 0.
|
| 419 |
"step": 670
|
| 420 |
},
|
| 421 |
{
|
| 422 |
-
"epoch":
|
| 423 |
-
"learning_rate":
|
| 424 |
-
"loss": 0.
|
| 425 |
"step": 680
|
| 426 |
},
|
| 427 |
{
|
| 428 |
-
"epoch":
|
| 429 |
-
"learning_rate":
|
| 430 |
-
"loss": 0.
|
| 431 |
"step": 690
|
| 432 |
},
|
| 433 |
{
|
| 434 |
-
"epoch":
|
| 435 |
-
"learning_rate":
|
| 436 |
-
"loss": 0.
|
| 437 |
"step": 700
|
| 438 |
},
|
| 439 |
{
|
| 440 |
-
"epoch":
|
| 441 |
-
"learning_rate":
|
| 442 |
-
"loss": 0.
|
| 443 |
"step": 710
|
| 444 |
},
|
| 445 |
{
|
| 446 |
-
"epoch":
|
| 447 |
-
"learning_rate":
|
| 448 |
-
"loss": 0.
|
| 449 |
"step": 720
|
| 450 |
},
|
| 451 |
{
|
| 452 |
-
"epoch":
|
| 453 |
-
"learning_rate":
|
| 454 |
-
"loss": 0.
|
| 455 |
"step": 730
|
| 456 |
},
|
| 457 |
{
|
| 458 |
-
"epoch":
|
| 459 |
-
"learning_rate":
|
| 460 |
-
"loss": 0.
|
| 461 |
"step": 740
|
| 462 |
},
|
| 463 |
{
|
| 464 |
-
"epoch":
|
| 465 |
-
"learning_rate":
|
| 466 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 467 |
"step": 750
|
| 468 |
},
|
| 469 |
{
|
| 470 |
-
"epoch":
|
| 471 |
-
"learning_rate":
|
| 472 |
-
"loss": 0.
|
| 473 |
"step": 760
|
| 474 |
},
|
| 475 |
{
|
| 476 |
-
"epoch":
|
| 477 |
-
"learning_rate":
|
| 478 |
-
"loss": 0.
|
| 479 |
"step": 770
|
| 480 |
},
|
| 481 |
{
|
| 482 |
-
"epoch":
|
| 483 |
-
"learning_rate":
|
| 484 |
-
"loss": 0.
|
| 485 |
"step": 780
|
| 486 |
},
|
| 487 |
{
|
| 488 |
-
"epoch":
|
| 489 |
-
"learning_rate":
|
| 490 |
-
"loss": 0.
|
| 491 |
"step": 790
|
| 492 |
},
|
| 493 |
{
|
| 494 |
-
"epoch":
|
| 495 |
-
"learning_rate":
|
| 496 |
-
"loss": 0.
|
| 497 |
"step": 800
|
| 498 |
},
|
| 499 |
{
|
| 500 |
-
"epoch":
|
| 501 |
-
"learning_rate":
|
| 502 |
-
"loss": 0.
|
| 503 |
"step": 810
|
| 504 |
},
|
| 505 |
{
|
| 506 |
-
"epoch":
|
| 507 |
-
"learning_rate":
|
| 508 |
-
"loss": 0.
|
| 509 |
"step": 820
|
| 510 |
},
|
| 511 |
{
|
| 512 |
-
"epoch":
|
| 513 |
-
"learning_rate":
|
| 514 |
-
"loss": 0.
|
| 515 |
"step": 830
|
| 516 |
},
|
| 517 |
{
|
| 518 |
-
"epoch":
|
| 519 |
-
"learning_rate":
|
| 520 |
-
"loss": 0.
|
| 521 |
"step": 840
|
| 522 |
},
|
| 523 |
{
|
| 524 |
-
"epoch":
|
| 525 |
-
"learning_rate":
|
| 526 |
-
"loss": 0.
|
| 527 |
"step": 850
|
| 528 |
},
|
| 529 |
{
|
| 530 |
-
"epoch":
|
| 531 |
-
"learning_rate":
|
| 532 |
-
"loss": 0.
|
| 533 |
"step": 860
|
| 534 |
},
|
| 535 |
{
|
| 536 |
-
"epoch":
|
| 537 |
-
"learning_rate":
|
| 538 |
-
"loss": 0.
|
| 539 |
"step": 870
|
| 540 |
},
|
| 541 |
{
|
| 542 |
-
"epoch":
|
| 543 |
-
"learning_rate":
|
| 544 |
-
"loss": 0.
|
| 545 |
"step": 880
|
| 546 |
},
|
| 547 |
{
|
| 548 |
-
"epoch":
|
| 549 |
-
"learning_rate":
|
| 550 |
-
"loss": 0.
|
| 551 |
"step": 890
|
| 552 |
},
|
| 553 |
{
|
| 554 |
-
"epoch":
|
| 555 |
-
"learning_rate":
|
| 556 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 557 |
"step": 900
|
| 558 |
},
|
| 559 |
{
|
| 560 |
-
"epoch":
|
| 561 |
-
"learning_rate":
|
| 562 |
-
"loss": 0.
|
| 563 |
"step": 910
|
| 564 |
},
|
| 565 |
{
|
| 566 |
-
"epoch":
|
| 567 |
-
"learning_rate":
|
| 568 |
-
"loss": 0.
|
| 569 |
"step": 920
|
| 570 |
},
|
| 571 |
{
|
| 572 |
-
"epoch":
|
| 573 |
-
"learning_rate":
|
| 574 |
-
"loss": 0.
|
| 575 |
"step": 930
|
| 576 |
},
|
| 577 |
{
|
| 578 |
-
"epoch":
|
| 579 |
-
"learning_rate":
|
| 580 |
-
"loss": 0.
|
| 581 |
"step": 940
|
| 582 |
},
|
| 583 |
{
|
| 584 |
-
"epoch":
|
| 585 |
-
"learning_rate":
|
| 586 |
-
"loss": 0.
|
| 587 |
"step": 950
|
| 588 |
},
|
| 589 |
{
|
| 590 |
-
"epoch":
|
| 591 |
-
"learning_rate":
|
| 592 |
-
"loss": 0.
|
| 593 |
"step": 960
|
| 594 |
},
|
| 595 |
{
|
| 596 |
-
"epoch":
|
| 597 |
-
"learning_rate":
|
| 598 |
-
"loss": 0.
|
| 599 |
"step": 970
|
| 600 |
},
|
| 601 |
{
|
| 602 |
-
"epoch":
|
| 603 |
-
"learning_rate":
|
| 604 |
-
"loss": 0.
|
| 605 |
"step": 980
|
| 606 |
},
|
| 607 |
{
|
| 608 |
-
"epoch":
|
| 609 |
-
"learning_rate":
|
| 610 |
-
"loss": 0.
|
| 611 |
"step": 990
|
| 612 |
},
|
| 613 |
{
|
| 614 |
-
"epoch":
|
| 615 |
-
"learning_rate":
|
| 616 |
-
"loss": 0.
|
| 617 |
"step": 1000
|
| 618 |
},
|
| 619 |
{
|
| 620 |
-
"epoch":
|
| 621 |
-
"learning_rate":
|
| 622 |
-
"loss": 0.
|
| 623 |
"step": 1010
|
| 624 |
},
|
| 625 |
{
|
| 626 |
-
"epoch":
|
| 627 |
-
"learning_rate":
|
| 628 |
-
"loss": 0.
|
| 629 |
"step": 1020
|
| 630 |
},
|
| 631 |
{
|
| 632 |
-
"epoch":
|
| 633 |
-
"learning_rate":
|
| 634 |
-
"loss": 0.
|
| 635 |
"step": 1030
|
| 636 |
},
|
| 637 |
{
|
| 638 |
-
"epoch":
|
| 639 |
-
"learning_rate":
|
| 640 |
-
"loss": 0.
|
| 641 |
"step": 1040
|
| 642 |
},
|
| 643 |
{
|
| 644 |
-
"epoch":
|
| 645 |
-
"learning_rate":
|
| 646 |
-
"loss": 0.
|
| 647 |
"step": 1050
|
| 648 |
},
|
| 649 |
{
|
| 650 |
-
"epoch":
|
| 651 |
-
"
|
| 652 |
-
"
|
| 653 |
-
"
|
|
|
|
|
|
|
|
|
|
| 654 |
},
|
| 655 |
{
|
| 656 |
-
"epoch":
|
| 657 |
-
"learning_rate":
|
| 658 |
-
"loss": 0.
|
| 659 |
-
"step":
|
| 660 |
},
|
| 661 |
{
|
| 662 |
-
"epoch":
|
| 663 |
-
"
|
| 664 |
-
"
|
| 665 |
-
"eval_runtime": 99.8719,
|
| 666 |
-
"eval_samples_per_second": 42.855,
|
| 667 |
-
"eval_steps_per_second": 5.357,
|
| 668 |
"step": 1070
|
| 669 |
},
|
| 670 |
{
|
| 671 |
-
"epoch": 2
|
| 672 |
-
"learning_rate":
|
| 673 |
-
"loss": 0.
|
| 674 |
"step": 1080
|
| 675 |
},
|
| 676 |
{
|
| 677 |
-
"epoch":
|
| 678 |
-
"learning_rate":
|
| 679 |
-
"loss": 0.
|
| 680 |
"step": 1090
|
| 681 |
},
|
| 682 |
{
|
| 683 |
-
"epoch":
|
| 684 |
-
"learning_rate":
|
| 685 |
-
"loss": 0.
|
| 686 |
"step": 1100
|
| 687 |
},
|
| 688 |
{
|
| 689 |
-
"epoch":
|
| 690 |
-
"learning_rate":
|
| 691 |
-
"loss": 0.
|
| 692 |
"step": 1110
|
| 693 |
},
|
| 694 |
{
|
| 695 |
-
"epoch":
|
| 696 |
-
"learning_rate":
|
| 697 |
-
"loss": 0.
|
| 698 |
"step": 1120
|
| 699 |
},
|
| 700 |
{
|
| 701 |
-
"epoch":
|
| 702 |
-
"learning_rate":
|
| 703 |
-
"loss": 0.
|
| 704 |
"step": 1130
|
| 705 |
},
|
| 706 |
{
|
| 707 |
-
"epoch":
|
| 708 |
-
"learning_rate":
|
| 709 |
-
"loss": 0.
|
| 710 |
"step": 1140
|
| 711 |
},
|
| 712 |
{
|
| 713 |
-
"epoch":
|
| 714 |
-
"learning_rate":
|
| 715 |
-
"loss": 0.
|
| 716 |
"step": 1150
|
| 717 |
},
|
| 718 |
{
|
| 719 |
-
"epoch":
|
| 720 |
-
"learning_rate":
|
| 721 |
-
"loss": 0.
|
| 722 |
"step": 1160
|
| 723 |
},
|
| 724 |
{
|
| 725 |
-
"epoch":
|
| 726 |
-
"learning_rate":
|
| 727 |
-
"loss": 0.
|
| 728 |
"step": 1170
|
| 729 |
},
|
| 730 |
{
|
| 731 |
-
"epoch":
|
| 732 |
-
"learning_rate":
|
| 733 |
-
"loss": 0.
|
| 734 |
"step": 1180
|
| 735 |
},
|
| 736 |
{
|
| 737 |
-
"epoch":
|
| 738 |
-
"learning_rate":
|
| 739 |
-
"loss": 0.
|
| 740 |
"step": 1190
|
| 741 |
},
|
| 742 |
{
|
| 743 |
-
"epoch":
|
| 744 |
-
"learning_rate":
|
| 745 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 746 |
"step": 1200
|
| 747 |
},
|
| 748 |
{
|
| 749 |
-
"epoch":
|
| 750 |
-
"learning_rate":
|
| 751 |
-
"loss": 0.
|
| 752 |
"step": 1210
|
| 753 |
},
|
| 754 |
{
|
| 755 |
-
"epoch":
|
| 756 |
-
"learning_rate":
|
| 757 |
-
"loss": 0.
|
| 758 |
"step": 1220
|
| 759 |
},
|
| 760 |
{
|
| 761 |
-
"epoch": 2
|
| 762 |
-
"learning_rate":
|
| 763 |
-
"loss": 0.
|
| 764 |
"step": 1230
|
| 765 |
},
|
| 766 |
{
|
| 767 |
-
"epoch":
|
| 768 |
-
"learning_rate":
|
| 769 |
-
"loss": 0.
|
| 770 |
"step": 1240
|
| 771 |
},
|
| 772 |
{
|
| 773 |
-
"epoch":
|
| 774 |
-
"learning_rate":
|
| 775 |
-
"loss": 0.
|
| 776 |
"step": 1250
|
| 777 |
},
|
| 778 |
{
|
| 779 |
-
"epoch":
|
| 780 |
-
"learning_rate":
|
| 781 |
-
"loss": 0.
|
| 782 |
"step": 1260
|
| 783 |
},
|
| 784 |
{
|
| 785 |
-
"epoch":
|
| 786 |
-
"learning_rate":
|
| 787 |
-
"loss": 0.
|
| 788 |
"step": 1270
|
| 789 |
},
|
| 790 |
{
|
| 791 |
-
"epoch":
|
| 792 |
-
"learning_rate":
|
| 793 |
-
"loss": 0.
|
| 794 |
"step": 1280
|
| 795 |
},
|
| 796 |
{
|
| 797 |
-
"epoch":
|
| 798 |
-
"learning_rate":
|
| 799 |
-
"loss": 0.
|
| 800 |
"step": 1290
|
| 801 |
},
|
| 802 |
{
|
| 803 |
-
"epoch":
|
| 804 |
-
"learning_rate":
|
| 805 |
-
"loss": 0.
|
| 806 |
"step": 1300
|
| 807 |
},
|
| 808 |
{
|
| 809 |
-
"epoch":
|
| 810 |
-
"learning_rate":
|
| 811 |
-
"loss": 0.
|
| 812 |
"step": 1310
|
| 813 |
},
|
| 814 |
{
|
| 815 |
-
"epoch":
|
| 816 |
-
"learning_rate":
|
| 817 |
-
"loss": 0.
|
| 818 |
"step": 1320
|
| 819 |
},
|
| 820 |
{
|
| 821 |
-
"epoch":
|
| 822 |
-
"learning_rate":
|
| 823 |
-
"loss": 0.
|
| 824 |
"step": 1330
|
| 825 |
},
|
| 826 |
{
|
| 827 |
-
"epoch":
|
| 828 |
-
"learning_rate":
|
| 829 |
-
"loss": 0.
|
| 830 |
"step": 1340
|
| 831 |
},
|
| 832 |
{
|
| 833 |
-
"epoch":
|
| 834 |
-
"learning_rate":
|
| 835 |
-
"loss": 0.
|
| 836 |
"step": 1350
|
| 837 |
},
|
| 838 |
{
|
| 839 |
-
"epoch":
|
| 840 |
-
"
|
| 841 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 842 |
"step": 1360
|
| 843 |
},
|
| 844 |
{
|
| 845 |
-
"epoch":
|
| 846 |
-
"learning_rate": 4.
|
| 847 |
-
"loss": 0.
|
| 848 |
"step": 1370
|
| 849 |
},
|
| 850 |
{
|
| 851 |
-
"epoch": 2
|
| 852 |
-
"learning_rate": 4.
|
| 853 |
-
"loss": 0.
|
| 854 |
"step": 1380
|
| 855 |
},
|
| 856 |
{
|
| 857 |
-
"epoch":
|
| 858 |
-
"learning_rate": 4.
|
| 859 |
-
"loss": 0.
|
| 860 |
"step": 1390
|
| 861 |
},
|
| 862 |
{
|
| 863 |
-
"epoch":
|
| 864 |
-
"learning_rate":
|
| 865 |
-
"loss": 0.
|
| 866 |
"step": 1400
|
| 867 |
},
|
| 868 |
{
|
| 869 |
-
"epoch":
|
| 870 |
-
"learning_rate":
|
| 871 |
-
"loss": 0.
|
| 872 |
"step": 1410
|
| 873 |
},
|
| 874 |
{
|
| 875 |
-
"epoch":
|
| 876 |
-
"learning_rate":
|
| 877 |
-
"loss": 0.
|
| 878 |
"step": 1420
|
| 879 |
},
|
| 880 |
{
|
| 881 |
-
"epoch":
|
| 882 |
-
"learning_rate":
|
| 883 |
-
"loss": 0.
|
| 884 |
"step": 1430
|
| 885 |
},
|
| 886 |
{
|
| 887 |
-
"epoch":
|
| 888 |
-
"learning_rate":
|
| 889 |
-
"loss": 0.
|
| 890 |
"step": 1440
|
| 891 |
},
|
| 892 |
{
|
| 893 |
-
"epoch":
|
| 894 |
-
"learning_rate":
|
| 895 |
-
"loss": 0.
|
| 896 |
"step": 1450
|
| 897 |
},
|
| 898 |
{
|
| 899 |
-
"epoch":
|
| 900 |
-
"learning_rate":
|
| 901 |
-
"loss": 0.
|
| 902 |
"step": 1460
|
| 903 |
},
|
| 904 |
{
|
| 905 |
-
"epoch":
|
| 906 |
-
"learning_rate":
|
| 907 |
-
"loss": 0.
|
| 908 |
"step": 1470
|
| 909 |
},
|
| 910 |
{
|
| 911 |
-
"epoch":
|
| 912 |
-
"learning_rate":
|
| 913 |
-
"loss": 0.
|
| 914 |
"step": 1480
|
| 915 |
},
|
| 916 |
{
|
| 917 |
-
"epoch":
|
| 918 |
-
"learning_rate":
|
| 919 |
-
"loss": 0.
|
| 920 |
"step": 1490
|
| 921 |
},
|
| 922 |
{
|
| 923 |
-
"epoch":
|
| 924 |
-
"learning_rate":
|
| 925 |
-
"loss": 0.
|
| 926 |
"step": 1500
|
| 927 |
},
|
| 928 |
-
{
|
| 929 |
-
"epoch": 2.82,
|
| 930 |
-
"learning_rate": 3.987538940809969e-05,
|
| 931 |
-
"loss": 0.4383,
|
| 932 |
-
"step": 1510
|
| 933 |
-
},
|
| 934 |
-
{
|
| 935 |
-
"epoch": 2.84,
|
| 936 |
-
"learning_rate": 3.9771547248182767e-05,
|
| 937 |
-
"loss": 0.3326,
|
| 938 |
-
"step": 1520
|
| 939 |
-
},
|
| 940 |
-
{
|
| 941 |
-
"epoch": 2.86,
|
| 942 |
-
"learning_rate": 3.966770508826584e-05,
|
| 943 |
-
"loss": 0.4058,
|
| 944 |
-
"step": 1530
|
| 945 |
-
},
|
| 946 |
-
{
|
| 947 |
-
"epoch": 2.88,
|
| 948 |
-
"learning_rate": 3.956386292834891e-05,
|
| 949 |
-
"loss": 0.3653,
|
| 950 |
-
"step": 1540
|
| 951 |
-
},
|
| 952 |
-
{
|
| 953 |
-
"epoch": 2.9,
|
| 954 |
-
"learning_rate": 3.946002076843199e-05,
|
| 955 |
-
"loss": 0.4157,
|
| 956 |
-
"step": 1550
|
| 957 |
-
},
|
| 958 |
-
{
|
| 959 |
-
"epoch": 2.92,
|
| 960 |
-
"learning_rate": 3.935617860851506e-05,
|
| 961 |
-
"loss": 0.3944,
|
| 962 |
-
"step": 1560
|
| 963 |
-
},
|
| 964 |
-
{
|
| 965 |
-
"epoch": 2.93,
|
| 966 |
-
"learning_rate": 3.925233644859813e-05,
|
| 967 |
-
"loss": 0.4103,
|
| 968 |
-
"step": 1570
|
| 969 |
-
},
|
| 970 |
-
{
|
| 971 |
-
"epoch": 2.95,
|
| 972 |
-
"learning_rate": 3.914849428868121e-05,
|
| 973 |
-
"loss": 0.4601,
|
| 974 |
-
"step": 1580
|
| 975 |
-
},
|
| 976 |
-
{
|
| 977 |
-
"epoch": 2.97,
|
| 978 |
-
"learning_rate": 3.904465212876428e-05,
|
| 979 |
-
"loss": 0.3561,
|
| 980 |
-
"step": 1590
|
| 981 |
-
},
|
| 982 |
-
{
|
| 983 |
-
"epoch": 2.99,
|
| 984 |
-
"learning_rate": 3.8940809968847354e-05,
|
| 985 |
-
"loss": 0.287,
|
| 986 |
-
"step": 1600
|
| 987 |
-
},
|
| 988 |
-
{
|
| 989 |
-
"epoch": 3.0,
|
| 990 |
-
"eval_accuracy": 0.8642523364485981,
|
| 991 |
-
"eval_loss": 0.39544418454170227,
|
| 992 |
-
"eval_runtime": 95.8501,
|
| 993 |
-
"eval_samples_per_second": 44.653,
|
| 994 |
-
"eval_steps_per_second": 5.582,
|
| 995 |
-
"step": 1605
|
| 996 |
-
},
|
| 997 |
-
{
|
| 998 |
-
"epoch": 3.01,
|
| 999 |
-
"learning_rate": 3.883696780893043e-05,
|
| 1000 |
-
"loss": 0.3781,
|
| 1001 |
-
"step": 1610
|
| 1002 |
-
},
|
| 1003 |
-
{
|
| 1004 |
-
"epoch": 3.03,
|
| 1005 |
-
"learning_rate": 3.87331256490135e-05,
|
| 1006 |
-
"loss": 0.3999,
|
| 1007 |
-
"step": 1620
|
| 1008 |
-
},
|
| 1009 |
-
{
|
| 1010 |
-
"epoch": 3.05,
|
| 1011 |
-
"learning_rate": 3.8629283489096576e-05,
|
| 1012 |
-
"loss": 0.3507,
|
| 1013 |
-
"step": 1630
|
| 1014 |
-
},
|
| 1015 |
-
{
|
| 1016 |
-
"epoch": 3.07,
|
| 1017 |
-
"learning_rate": 3.852544132917965e-05,
|
| 1018 |
-
"loss": 0.354,
|
| 1019 |
-
"step": 1640
|
| 1020 |
-
},
|
| 1021 |
-
{
|
| 1022 |
-
"epoch": 3.08,
|
| 1023 |
-
"learning_rate": 3.8421599169262725e-05,
|
| 1024 |
-
"loss": 0.4233,
|
| 1025 |
-
"step": 1650
|
| 1026 |
-
},
|
| 1027 |
-
{
|
| 1028 |
-
"epoch": 3.1,
|
| 1029 |
-
"learning_rate": 3.831775700934579e-05,
|
| 1030 |
-
"loss": 0.3766,
|
| 1031 |
-
"step": 1660
|
| 1032 |
-
},
|
| 1033 |
-
{
|
| 1034 |
-
"epoch": 3.12,
|
| 1035 |
-
"learning_rate": 3.821391484942887e-05,
|
| 1036 |
-
"loss": 0.4494,
|
| 1037 |
-
"step": 1670
|
| 1038 |
-
},
|
| 1039 |
-
{
|
| 1040 |
-
"epoch": 3.14,
|
| 1041 |
-
"learning_rate": 3.811007268951195e-05,
|
| 1042 |
-
"loss": 0.3772,
|
| 1043 |
-
"step": 1680
|
| 1044 |
-
},
|
| 1045 |
-
{
|
| 1046 |
-
"epoch": 3.16,
|
| 1047 |
-
"learning_rate": 3.8006230529595015e-05,
|
| 1048 |
-
"loss": 0.4079,
|
| 1049 |
-
"step": 1690
|
| 1050 |
-
},
|
| 1051 |
-
{
|
| 1052 |
-
"epoch": 3.18,
|
| 1053 |
-
"learning_rate": 3.7902388369678096e-05,
|
| 1054 |
-
"loss": 0.3796,
|
| 1055 |
-
"step": 1700
|
| 1056 |
-
},
|
| 1057 |
-
{
|
| 1058 |
-
"epoch": 3.2,
|
| 1059 |
-
"learning_rate": 3.779854620976116e-05,
|
| 1060 |
-
"loss": 0.2899,
|
| 1061 |
-
"step": 1710
|
| 1062 |
-
},
|
| 1063 |
-
{
|
| 1064 |
-
"epoch": 3.21,
|
| 1065 |
-
"learning_rate": 3.769470404984424e-05,
|
| 1066 |
-
"loss": 0.357,
|
| 1067 |
-
"step": 1720
|
| 1068 |
-
},
|
| 1069 |
-
{
|
| 1070 |
-
"epoch": 3.23,
|
| 1071 |
-
"learning_rate": 3.759086188992731e-05,
|
| 1072 |
-
"loss": 0.3922,
|
| 1073 |
-
"step": 1730
|
| 1074 |
-
},
|
| 1075 |
-
{
|
| 1076 |
-
"epoch": 3.25,
|
| 1077 |
-
"learning_rate": 3.7487019730010386e-05,
|
| 1078 |
-
"loss": 0.3743,
|
| 1079 |
-
"step": 1740
|
| 1080 |
-
},
|
| 1081 |
-
{
|
| 1082 |
-
"epoch": 3.27,
|
| 1083 |
-
"learning_rate": 3.738317757009346e-05,
|
| 1084 |
-
"loss": 0.3275,
|
| 1085 |
-
"step": 1750
|
| 1086 |
-
},
|
| 1087 |
-
{
|
| 1088 |
-
"epoch": 3.29,
|
| 1089 |
-
"learning_rate": 3.7279335410176535e-05,
|
| 1090 |
-
"loss": 0.3128,
|
| 1091 |
-
"step": 1760
|
| 1092 |
-
},
|
| 1093 |
-
{
|
| 1094 |
-
"epoch": 3.31,
|
| 1095 |
-
"learning_rate": 3.717549325025961e-05,
|
| 1096 |
-
"loss": 0.3351,
|
| 1097 |
-
"step": 1770
|
| 1098 |
-
},
|
| 1099 |
-
{
|
| 1100 |
-
"epoch": 3.33,
|
| 1101 |
-
"learning_rate": 3.7071651090342676e-05,
|
| 1102 |
-
"loss": 0.354,
|
| 1103 |
-
"step": 1780
|
| 1104 |
-
},
|
| 1105 |
-
{
|
| 1106 |
-
"epoch": 3.35,
|
| 1107 |
-
"learning_rate": 3.696780893042576e-05,
|
| 1108 |
-
"loss": 0.3604,
|
| 1109 |
-
"step": 1790
|
| 1110 |
-
},
|
| 1111 |
-
{
|
| 1112 |
-
"epoch": 3.36,
|
| 1113 |
-
"learning_rate": 3.686396677050883e-05,
|
| 1114 |
-
"loss": 0.389,
|
| 1115 |
-
"step": 1800
|
| 1116 |
-
},
|
| 1117 |
-
{
|
| 1118 |
-
"epoch": 3.38,
|
| 1119 |
-
"learning_rate": 3.67601246105919e-05,
|
| 1120 |
-
"loss": 0.3892,
|
| 1121 |
-
"step": 1810
|
| 1122 |
-
},
|
| 1123 |
-
{
|
| 1124 |
-
"epoch": 3.4,
|
| 1125 |
-
"learning_rate": 3.665628245067498e-05,
|
| 1126 |
-
"loss": 0.3525,
|
| 1127 |
-
"step": 1820
|
| 1128 |
-
},
|
| 1129 |
-
{
|
| 1130 |
-
"epoch": 3.42,
|
| 1131 |
-
"learning_rate": 3.655244029075805e-05,
|
| 1132 |
-
"loss": 0.3725,
|
| 1133 |
-
"step": 1830
|
| 1134 |
-
},
|
| 1135 |
-
{
|
| 1136 |
-
"epoch": 3.44,
|
| 1137 |
-
"learning_rate": 3.644859813084112e-05,
|
| 1138 |
-
"loss": 0.3909,
|
| 1139 |
-
"step": 1840
|
| 1140 |
-
},
|
| 1141 |
-
{
|
| 1142 |
-
"epoch": 3.46,
|
| 1143 |
-
"learning_rate": 3.6344755970924196e-05,
|
| 1144 |
-
"loss": 0.2884,
|
| 1145 |
-
"step": 1850
|
| 1146 |
-
},
|
| 1147 |
-
{
|
| 1148 |
-
"epoch": 3.48,
|
| 1149 |
-
"learning_rate": 3.624091381100727e-05,
|
| 1150 |
-
"loss": 0.3384,
|
| 1151 |
-
"step": 1860
|
| 1152 |
-
},
|
| 1153 |
-
{
|
| 1154 |
-
"epoch": 3.5,
|
| 1155 |
-
"learning_rate": 3.6137071651090344e-05,
|
| 1156 |
-
"loss": 0.3645,
|
| 1157 |
-
"step": 1870
|
| 1158 |
-
},
|
| 1159 |
-
{
|
| 1160 |
-
"epoch": 3.51,
|
| 1161 |
-
"learning_rate": 3.603322949117342e-05,
|
| 1162 |
-
"loss": 0.3407,
|
| 1163 |
-
"step": 1880
|
| 1164 |
-
},
|
| 1165 |
-
{
|
| 1166 |
-
"epoch": 3.53,
|
| 1167 |
-
"learning_rate": 3.592938733125649e-05,
|
| 1168 |
-
"loss": 0.3847,
|
| 1169 |
-
"step": 1890
|
| 1170 |
-
},
|
| 1171 |
-
{
|
| 1172 |
-
"epoch": 3.55,
|
| 1173 |
-
"learning_rate": 3.582554517133957e-05,
|
| 1174 |
-
"loss": 0.3862,
|
| 1175 |
-
"step": 1900
|
| 1176 |
-
},
|
| 1177 |
-
{
|
| 1178 |
-
"epoch": 3.57,
|
| 1179 |
-
"learning_rate": 3.572170301142264e-05,
|
| 1180 |
-
"loss": 0.3831,
|
| 1181 |
-
"step": 1910
|
| 1182 |
-
},
|
| 1183 |
-
{
|
| 1184 |
-
"epoch": 3.59,
|
| 1185 |
-
"learning_rate": 3.5617860851505715e-05,
|
| 1186 |
-
"loss": 0.3147,
|
| 1187 |
-
"step": 1920
|
| 1188 |
-
},
|
| 1189 |
-
{
|
| 1190 |
-
"epoch": 3.61,
|
| 1191 |
-
"learning_rate": 3.551401869158878e-05,
|
| 1192 |
-
"loss": 0.3686,
|
| 1193 |
-
"step": 1930
|
| 1194 |
-
},
|
| 1195 |
-
{
|
| 1196 |
-
"epoch": 3.63,
|
| 1197 |
-
"learning_rate": 3.5410176531671864e-05,
|
| 1198 |
-
"loss": 0.3913,
|
| 1199 |
-
"step": 1940
|
| 1200 |
-
},
|
| 1201 |
-
{
|
| 1202 |
-
"epoch": 3.64,
|
| 1203 |
-
"learning_rate": 3.530633437175493e-05,
|
| 1204 |
-
"loss": 0.3717,
|
| 1205 |
-
"step": 1950
|
| 1206 |
-
},
|
| 1207 |
-
{
|
| 1208 |
-
"epoch": 3.66,
|
| 1209 |
-
"learning_rate": 3.5202492211838006e-05,
|
| 1210 |
-
"loss": 0.4135,
|
| 1211 |
-
"step": 1960
|
| 1212 |
-
},
|
| 1213 |
-
{
|
| 1214 |
-
"epoch": 3.68,
|
| 1215 |
-
"learning_rate": 3.5098650051921087e-05,
|
| 1216 |
-
"loss": 0.372,
|
| 1217 |
-
"step": 1970
|
| 1218 |
-
},
|
| 1219 |
-
{
|
| 1220 |
-
"epoch": 3.7,
|
| 1221 |
-
"learning_rate": 3.4994807892004154e-05,
|
| 1222 |
-
"loss": 0.3738,
|
| 1223 |
-
"step": 1980
|
| 1224 |
-
},
|
| 1225 |
-
{
|
| 1226 |
-
"epoch": 3.72,
|
| 1227 |
-
"learning_rate": 3.489096573208723e-05,
|
| 1228 |
-
"loss": 0.3847,
|
| 1229 |
-
"step": 1990
|
| 1230 |
-
},
|
| 1231 |
-
{
|
| 1232 |
-
"epoch": 3.74,
|
| 1233 |
-
"learning_rate": 3.47871235721703e-05,
|
| 1234 |
-
"loss": 0.3893,
|
| 1235 |
-
"step": 2000
|
| 1236 |
-
},
|
| 1237 |
-
{
|
| 1238 |
-
"epoch": 3.76,
|
| 1239 |
-
"learning_rate": 3.468328141225338e-05,
|
| 1240 |
-
"loss": 0.3045,
|
| 1241 |
-
"step": 2010
|
| 1242 |
-
},
|
| 1243 |
-
{
|
| 1244 |
-
"epoch": 3.78,
|
| 1245 |
-
"learning_rate": 3.457943925233645e-05,
|
| 1246 |
-
"loss": 0.3242,
|
| 1247 |
-
"step": 2020
|
| 1248 |
-
},
|
| 1249 |
-
{
|
| 1250 |
-
"epoch": 3.79,
|
| 1251 |
-
"learning_rate": 3.4475597092419525e-05,
|
| 1252 |
-
"loss": 0.3417,
|
| 1253 |
-
"step": 2030
|
| 1254 |
-
},
|
| 1255 |
-
{
|
| 1256 |
-
"epoch": 3.81,
|
| 1257 |
-
"learning_rate": 3.43717549325026e-05,
|
| 1258 |
-
"loss": 0.3568,
|
| 1259 |
-
"step": 2040
|
| 1260 |
-
},
|
| 1261 |
-
{
|
| 1262 |
-
"epoch": 3.83,
|
| 1263 |
-
"learning_rate": 3.426791277258567e-05,
|
| 1264 |
-
"loss": 0.3225,
|
| 1265 |
-
"step": 2050
|
| 1266 |
-
},
|
| 1267 |
-
{
|
| 1268 |
-
"epoch": 3.85,
|
| 1269 |
-
"learning_rate": 3.416407061266875e-05,
|
| 1270 |
-
"loss": 0.3341,
|
| 1271 |
-
"step": 2060
|
| 1272 |
-
},
|
| 1273 |
-
{
|
| 1274 |
-
"epoch": 3.87,
|
| 1275 |
-
"learning_rate": 3.406022845275182e-05,
|
| 1276 |
-
"loss": 0.326,
|
| 1277 |
-
"step": 2070
|
| 1278 |
-
},
|
| 1279 |
-
{
|
| 1280 |
-
"epoch": 3.89,
|
| 1281 |
-
"learning_rate": 3.395638629283489e-05,
|
| 1282 |
-
"loss": 0.3508,
|
| 1283 |
-
"step": 2080
|
| 1284 |
-
},
|
| 1285 |
-
{
|
| 1286 |
-
"epoch": 3.91,
|
| 1287 |
-
"learning_rate": 3.385254413291797e-05,
|
| 1288 |
-
"loss": 0.333,
|
| 1289 |
-
"step": 2090
|
| 1290 |
-
},
|
| 1291 |
-
{
|
| 1292 |
-
"epoch": 3.93,
|
| 1293 |
-
"learning_rate": 3.374870197300104e-05,
|
| 1294 |
-
"loss": 0.4373,
|
| 1295 |
-
"step": 2100
|
| 1296 |
-
},
|
| 1297 |
-
{
|
| 1298 |
-
"epoch": 3.94,
|
| 1299 |
-
"learning_rate": 3.364485981308411e-05,
|
| 1300 |
-
"loss": 0.3769,
|
| 1301 |
-
"step": 2110
|
| 1302 |
-
},
|
| 1303 |
-
{
|
| 1304 |
-
"epoch": 3.96,
|
| 1305 |
-
"learning_rate": 3.3541017653167186e-05,
|
| 1306 |
-
"loss": 0.3697,
|
| 1307 |
-
"step": 2120
|
| 1308 |
-
},
|
| 1309 |
-
{
|
| 1310 |
-
"epoch": 3.98,
|
| 1311 |
-
"learning_rate": 3.343717549325026e-05,
|
| 1312 |
-
"loss": 0.3187,
|
| 1313 |
-
"step": 2130
|
| 1314 |
-
},
|
| 1315 |
-
{
|
| 1316 |
-
"epoch": 4.0,
|
| 1317 |
-
"learning_rate": 3.3333333333333335e-05,
|
| 1318 |
-
"loss": 0.4211,
|
| 1319 |
-
"step": 2140
|
| 1320 |
-
},
|
| 1321 |
-
{
|
| 1322 |
-
"epoch": 4.0,
|
| 1323 |
-
"eval_accuracy": 0.8700934579439252,
|
| 1324 |
-
"eval_loss": 0.39060959219932556,
|
| 1325 |
-
"eval_runtime": 93.1195,
|
| 1326 |
-
"eval_samples_per_second": 45.962,
|
| 1327 |
-
"eval_steps_per_second": 5.745,
|
| 1328 |
-
"step": 2140
|
| 1329 |
-
},
|
| 1330 |
-
{
|
| 1331 |
-
"epoch": 4.02,
|
| 1332 |
-
"learning_rate": 3.322949117341641e-05,
|
| 1333 |
-
"loss": 0.2857,
|
| 1334 |
-
"step": 2150
|
| 1335 |
-
},
|
| 1336 |
-
{
|
| 1337 |
-
"epoch": 4.04,
|
| 1338 |
-
"learning_rate": 3.3125649013499483e-05,
|
| 1339 |
-
"loss": 0.3271,
|
| 1340 |
-
"step": 2160
|
| 1341 |
-
},
|
| 1342 |
-
{
|
| 1343 |
-
"epoch": 4.06,
|
| 1344 |
-
"learning_rate": 3.302180685358255e-05,
|
| 1345 |
-
"loss": 0.3109,
|
| 1346 |
-
"step": 2170
|
| 1347 |
-
},
|
| 1348 |
-
{
|
| 1349 |
-
"epoch": 4.07,
|
| 1350 |
-
"learning_rate": 3.291796469366563e-05,
|
| 1351 |
-
"loss": 0.2679,
|
| 1352 |
-
"step": 2180
|
| 1353 |
-
},
|
| 1354 |
-
{
|
| 1355 |
-
"epoch": 4.09,
|
| 1356 |
-
"learning_rate": 3.2814122533748706e-05,
|
| 1357 |
-
"loss": 0.3242,
|
| 1358 |
-
"step": 2190
|
| 1359 |
-
},
|
| 1360 |
-
{
|
| 1361 |
-
"epoch": 4.11,
|
| 1362 |
-
"learning_rate": 3.2710280373831774e-05,
|
| 1363 |
-
"loss": 0.3083,
|
| 1364 |
-
"step": 2200
|
| 1365 |
-
},
|
| 1366 |
-
{
|
| 1367 |
-
"epoch": 4.13,
|
| 1368 |
-
"learning_rate": 3.2606438213914855e-05,
|
| 1369 |
-
"loss": 0.3325,
|
| 1370 |
-
"step": 2210
|
| 1371 |
-
},
|
| 1372 |
-
{
|
| 1373 |
-
"epoch": 4.15,
|
| 1374 |
-
"learning_rate": 3.250259605399792e-05,
|
| 1375 |
-
"loss": 0.3989,
|
| 1376 |
-
"step": 2220
|
| 1377 |
-
},
|
| 1378 |
-
{
|
| 1379 |
-
"epoch": 4.17,
|
| 1380 |
-
"learning_rate": 3.2398753894080996e-05,
|
| 1381 |
-
"loss": 0.3044,
|
| 1382 |
-
"step": 2230
|
| 1383 |
-
},
|
| 1384 |
-
{
|
| 1385 |
-
"epoch": 4.19,
|
| 1386 |
-
"learning_rate": 3.229491173416408e-05,
|
| 1387 |
-
"loss": 0.3389,
|
| 1388 |
-
"step": 2240
|
| 1389 |
-
},
|
| 1390 |
-
{
|
| 1391 |
-
"epoch": 4.21,
|
| 1392 |
-
"learning_rate": 3.2191069574247145e-05,
|
| 1393 |
-
"loss": 0.3284,
|
| 1394 |
-
"step": 2250
|
| 1395 |
-
},
|
| 1396 |
-
{
|
| 1397 |
-
"epoch": 4.22,
|
| 1398 |
-
"learning_rate": 3.208722741433022e-05,
|
| 1399 |
-
"loss": 0.2777,
|
| 1400 |
-
"step": 2260
|
| 1401 |
-
},
|
| 1402 |
-
{
|
| 1403 |
-
"epoch": 4.24,
|
| 1404 |
-
"learning_rate": 3.198338525441329e-05,
|
| 1405 |
-
"loss": 0.3531,
|
| 1406 |
-
"step": 2270
|
| 1407 |
-
},
|
| 1408 |
-
{
|
| 1409 |
-
"epoch": 4.26,
|
| 1410 |
-
"learning_rate": 3.187954309449637e-05,
|
| 1411 |
-
"loss": 0.3578,
|
| 1412 |
-
"step": 2280
|
| 1413 |
-
},
|
| 1414 |
-
{
|
| 1415 |
-
"epoch": 4.28,
|
| 1416 |
-
"learning_rate": 3.177570093457944e-05,
|
| 1417 |
-
"loss": 0.375,
|
| 1418 |
-
"step": 2290
|
| 1419 |
-
},
|
| 1420 |
-
{
|
| 1421 |
-
"epoch": 4.3,
|
| 1422 |
-
"learning_rate": 3.1671858774662516e-05,
|
| 1423 |
-
"loss": 0.3912,
|
| 1424 |
-
"step": 2300
|
| 1425 |
-
},
|
| 1426 |
-
{
|
| 1427 |
-
"epoch": 4.32,
|
| 1428 |
-
"learning_rate": 3.156801661474559e-05,
|
| 1429 |
-
"loss": 0.3632,
|
| 1430 |
-
"step": 2310
|
| 1431 |
-
},
|
| 1432 |
-
{
|
| 1433 |
-
"epoch": 4.34,
|
| 1434 |
-
"learning_rate": 3.146417445482866e-05,
|
| 1435 |
-
"loss": 0.3453,
|
| 1436 |
-
"step": 2320
|
| 1437 |
-
},
|
| 1438 |
-
{
|
| 1439 |
-
"epoch": 4.36,
|
| 1440 |
-
"learning_rate": 3.136033229491174e-05,
|
| 1441 |
-
"loss": 0.3412,
|
| 1442 |
-
"step": 2330
|
| 1443 |
-
},
|
| 1444 |
-
{
|
| 1445 |
-
"epoch": 4.37,
|
| 1446 |
-
"learning_rate": 3.1256490134994806e-05,
|
| 1447 |
-
"loss": 0.3506,
|
| 1448 |
-
"step": 2340
|
| 1449 |
-
},
|
| 1450 |
-
{
|
| 1451 |
-
"epoch": 4.39,
|
| 1452 |
-
"learning_rate": 3.115264797507788e-05,
|
| 1453 |
-
"loss": 0.3178,
|
| 1454 |
-
"step": 2350
|
| 1455 |
-
},
|
| 1456 |
-
{
|
| 1457 |
-
"epoch": 4.41,
|
| 1458 |
-
"learning_rate": 3.104880581516096e-05,
|
| 1459 |
-
"loss": 0.3787,
|
| 1460 |
-
"step": 2360
|
| 1461 |
-
},
|
| 1462 |
-
{
|
| 1463 |
-
"epoch": 4.43,
|
| 1464 |
-
"learning_rate": 3.094496365524403e-05,
|
| 1465 |
-
"loss": 0.2522,
|
| 1466 |
-
"step": 2370
|
| 1467 |
-
},
|
| 1468 |
-
{
|
| 1469 |
-
"epoch": 4.45,
|
| 1470 |
-
"learning_rate": 3.08411214953271e-05,
|
| 1471 |
-
"loss": 0.2986,
|
| 1472 |
-
"step": 2380
|
| 1473 |
-
},
|
| 1474 |
-
{
|
| 1475 |
-
"epoch": 4.47,
|
| 1476 |
-
"learning_rate": 3.073727933541018e-05,
|
| 1477 |
-
"loss": 0.3647,
|
| 1478 |
-
"step": 2390
|
| 1479 |
-
},
|
| 1480 |
-
{
|
| 1481 |
-
"epoch": 4.49,
|
| 1482 |
-
"learning_rate": 3.063343717549325e-05,
|
| 1483 |
-
"loss": 0.2927,
|
| 1484 |
-
"step": 2400
|
| 1485 |
-
},
|
| 1486 |
-
{
|
| 1487 |
-
"epoch": 4.5,
|
| 1488 |
-
"learning_rate": 3.0529595015576326e-05,
|
| 1489 |
-
"loss": 0.3868,
|
| 1490 |
-
"step": 2410
|
| 1491 |
-
},
|
| 1492 |
-
{
|
| 1493 |
-
"epoch": 4.52,
|
| 1494 |
-
"learning_rate": 3.04257528556594e-05,
|
| 1495 |
-
"loss": 0.2927,
|
| 1496 |
-
"step": 2420
|
| 1497 |
-
},
|
| 1498 |
-
{
|
| 1499 |
-
"epoch": 4.54,
|
| 1500 |
-
"learning_rate": 3.0321910695742474e-05,
|
| 1501 |
-
"loss": 0.2755,
|
| 1502 |
-
"step": 2430
|
| 1503 |
-
},
|
| 1504 |
-
{
|
| 1505 |
-
"epoch": 4.56,
|
| 1506 |
-
"learning_rate": 3.0218068535825545e-05,
|
| 1507 |
-
"loss": 0.2953,
|
| 1508 |
-
"step": 2440
|
| 1509 |
-
},
|
| 1510 |
-
{
|
| 1511 |
-
"epoch": 4.58,
|
| 1512 |
-
"learning_rate": 3.0114226375908622e-05,
|
| 1513 |
-
"loss": 0.2946,
|
| 1514 |
-
"step": 2450
|
| 1515 |
-
},
|
| 1516 |
-
{
|
| 1517 |
-
"epoch": 4.6,
|
| 1518 |
-
"learning_rate": 3.0010384215991693e-05,
|
| 1519 |
-
"loss": 0.3302,
|
| 1520 |
-
"step": 2460
|
| 1521 |
-
},
|
| 1522 |
-
{
|
| 1523 |
-
"epoch": 4.62,
|
| 1524 |
-
"learning_rate": 2.9906542056074764e-05,
|
| 1525 |
-
"loss": 0.406,
|
| 1526 |
-
"step": 2470
|
| 1527 |
-
},
|
| 1528 |
-
{
|
| 1529 |
-
"epoch": 4.64,
|
| 1530 |
-
"learning_rate": 2.9802699896157842e-05,
|
| 1531 |
-
"loss": 0.323,
|
| 1532 |
-
"step": 2480
|
| 1533 |
-
},
|
| 1534 |
-
{
|
| 1535 |
-
"epoch": 4.65,
|
| 1536 |
-
"learning_rate": 2.9698857736240916e-05,
|
| 1537 |
-
"loss": 0.3808,
|
| 1538 |
-
"step": 2490
|
| 1539 |
-
},
|
| 1540 |
-
{
|
| 1541 |
-
"epoch": 4.67,
|
| 1542 |
-
"learning_rate": 2.9595015576323987e-05,
|
| 1543 |
-
"loss": 0.3269,
|
| 1544 |
-
"step": 2500
|
| 1545 |
-
},
|
| 1546 |
-
{
|
| 1547 |
-
"epoch": 4.69,
|
| 1548 |
-
"learning_rate": 2.9491173416407064e-05,
|
| 1549 |
-
"loss": 0.3703,
|
| 1550 |
-
"step": 2510
|
| 1551 |
-
},
|
| 1552 |
-
{
|
| 1553 |
-
"epoch": 4.71,
|
| 1554 |
-
"learning_rate": 2.9387331256490135e-05,
|
| 1555 |
-
"loss": 0.3173,
|
| 1556 |
-
"step": 2520
|
| 1557 |
-
},
|
| 1558 |
-
{
|
| 1559 |
-
"epoch": 4.73,
|
| 1560 |
-
"learning_rate": 2.9283489096573206e-05,
|
| 1561 |
-
"loss": 0.2749,
|
| 1562 |
-
"step": 2530
|
| 1563 |
-
},
|
| 1564 |
-
{
|
| 1565 |
-
"epoch": 4.75,
|
| 1566 |
-
"learning_rate": 2.9179646936656284e-05,
|
| 1567 |
-
"loss": 0.3128,
|
| 1568 |
-
"step": 2540
|
| 1569 |
-
},
|
| 1570 |
-
{
|
| 1571 |
-
"epoch": 4.77,
|
| 1572 |
-
"learning_rate": 2.9075804776739358e-05,
|
| 1573 |
-
"loss": 0.3725,
|
| 1574 |
-
"step": 2550
|
| 1575 |
-
},
|
| 1576 |
-
{
|
| 1577 |
-
"epoch": 4.79,
|
| 1578 |
-
"learning_rate": 2.897196261682243e-05,
|
| 1579 |
-
"loss": 0.3052,
|
| 1580 |
-
"step": 2560
|
| 1581 |
-
},
|
| 1582 |
-
{
|
| 1583 |
-
"epoch": 4.8,
|
| 1584 |
-
"learning_rate": 2.8868120456905506e-05,
|
| 1585 |
-
"loss": 0.3159,
|
| 1586 |
-
"step": 2570
|
| 1587 |
-
},
|
| 1588 |
-
{
|
| 1589 |
-
"epoch": 4.82,
|
| 1590 |
-
"learning_rate": 2.8764278296988577e-05,
|
| 1591 |
-
"loss": 0.27,
|
| 1592 |
-
"step": 2580
|
| 1593 |
-
},
|
| 1594 |
-
{
|
| 1595 |
-
"epoch": 4.84,
|
| 1596 |
-
"learning_rate": 2.866043613707165e-05,
|
| 1597 |
-
"loss": 0.3566,
|
| 1598 |
-
"step": 2590
|
| 1599 |
-
},
|
| 1600 |
-
{
|
| 1601 |
-
"epoch": 4.86,
|
| 1602 |
-
"learning_rate": 2.855659397715473e-05,
|
| 1603 |
-
"loss": 0.3622,
|
| 1604 |
-
"step": 2600
|
| 1605 |
-
},
|
| 1606 |
-
{
|
| 1607 |
-
"epoch": 4.88,
|
| 1608 |
-
"learning_rate": 2.84527518172378e-05,
|
| 1609 |
-
"loss": 0.3318,
|
| 1610 |
-
"step": 2610
|
| 1611 |
-
},
|
| 1612 |
-
{
|
| 1613 |
-
"epoch": 4.9,
|
| 1614 |
-
"learning_rate": 2.834890965732087e-05,
|
| 1615 |
-
"loss": 0.334,
|
| 1616 |
-
"step": 2620
|
| 1617 |
-
},
|
| 1618 |
-
{
|
| 1619 |
-
"epoch": 4.92,
|
| 1620 |
-
"learning_rate": 2.824506749740395e-05,
|
| 1621 |
-
"loss": 0.3084,
|
| 1622 |
-
"step": 2630
|
| 1623 |
-
},
|
| 1624 |
-
{
|
| 1625 |
-
"epoch": 4.93,
|
| 1626 |
-
"learning_rate": 2.814122533748702e-05,
|
| 1627 |
-
"loss": 0.3524,
|
| 1628 |
-
"step": 2640
|
| 1629 |
-
},
|
| 1630 |
-
{
|
| 1631 |
-
"epoch": 4.95,
|
| 1632 |
-
"learning_rate": 2.8037383177570094e-05,
|
| 1633 |
-
"loss": 0.3473,
|
| 1634 |
-
"step": 2650
|
| 1635 |
-
},
|
| 1636 |
-
{
|
| 1637 |
-
"epoch": 4.97,
|
| 1638 |
-
"learning_rate": 2.793354101765317e-05,
|
| 1639 |
-
"loss": 0.3593,
|
| 1640 |
-
"step": 2660
|
| 1641 |
-
},
|
| 1642 |
-
{
|
| 1643 |
-
"epoch": 4.99,
|
| 1644 |
-
"learning_rate": 2.7829698857736242e-05,
|
| 1645 |
-
"loss": 0.316,
|
| 1646 |
-
"step": 2670
|
| 1647 |
-
},
|
| 1648 |
-
{
|
| 1649 |
-
"epoch": 5.0,
|
| 1650 |
-
"eval_accuracy": 0.8754672897196262,
|
| 1651 |
-
"eval_loss": 0.37160804867744446,
|
| 1652 |
-
"eval_runtime": 95.1891,
|
| 1653 |
-
"eval_samples_per_second": 44.963,
|
| 1654 |
-
"eval_steps_per_second": 5.62,
|
| 1655 |
-
"step": 2675
|
| 1656 |
-
},
|
| 1657 |
-
{
|
| 1658 |
-
"epoch": 5.01,
|
| 1659 |
-
"learning_rate": 2.7725856697819313e-05,
|
| 1660 |
-
"loss": 0.2738,
|
| 1661 |
-
"step": 2680
|
| 1662 |
-
},
|
| 1663 |
-
{
|
| 1664 |
-
"epoch": 5.03,
|
| 1665 |
-
"learning_rate": 2.762201453790239e-05,
|
| 1666 |
-
"loss": 0.342,
|
| 1667 |
-
"step": 2690
|
| 1668 |
-
},
|
| 1669 |
-
{
|
| 1670 |
-
"epoch": 5.05,
|
| 1671 |
-
"learning_rate": 2.751817237798546e-05,
|
| 1672 |
-
"loss": 0.3448,
|
| 1673 |
-
"step": 2700
|
| 1674 |
-
},
|
| 1675 |
-
{
|
| 1676 |
-
"epoch": 5.07,
|
| 1677 |
-
"learning_rate": 2.7414330218068536e-05,
|
| 1678 |
-
"loss": 0.3099,
|
| 1679 |
-
"step": 2710
|
| 1680 |
-
},
|
| 1681 |
-
{
|
| 1682 |
-
"epoch": 5.08,
|
| 1683 |
-
"learning_rate": 2.7310488058151613e-05,
|
| 1684 |
-
"loss": 0.3368,
|
| 1685 |
-
"step": 2720
|
| 1686 |
-
},
|
| 1687 |
-
{
|
| 1688 |
-
"epoch": 5.1,
|
| 1689 |
-
"learning_rate": 2.7206645898234684e-05,
|
| 1690 |
-
"loss": 0.2743,
|
| 1691 |
-
"step": 2730
|
| 1692 |
-
},
|
| 1693 |
-
{
|
| 1694 |
-
"epoch": 5.12,
|
| 1695 |
-
"learning_rate": 2.7102803738317755e-05,
|
| 1696 |
-
"loss": 0.3064,
|
| 1697 |
-
"step": 2740
|
| 1698 |
-
},
|
| 1699 |
-
{
|
| 1700 |
-
"epoch": 5.14,
|
| 1701 |
-
"learning_rate": 2.6998961578400832e-05,
|
| 1702 |
-
"loss": 0.2109,
|
| 1703 |
-
"step": 2750
|
| 1704 |
-
},
|
| 1705 |
-
{
|
| 1706 |
-
"epoch": 5.16,
|
| 1707 |
-
"learning_rate": 2.6895119418483907e-05,
|
| 1708 |
-
"loss": 0.3611,
|
| 1709 |
-
"step": 2760
|
| 1710 |
-
},
|
| 1711 |
-
{
|
| 1712 |
-
"epoch": 5.18,
|
| 1713 |
-
"learning_rate": 2.6791277258566978e-05,
|
| 1714 |
-
"loss": 0.3456,
|
| 1715 |
-
"step": 2770
|
| 1716 |
-
},
|
| 1717 |
-
{
|
| 1718 |
-
"epoch": 5.2,
|
| 1719 |
-
"learning_rate": 2.6687435098650055e-05,
|
| 1720 |
-
"loss": 0.2599,
|
| 1721 |
-
"step": 2780
|
| 1722 |
-
},
|
| 1723 |
-
{
|
| 1724 |
-
"epoch": 5.21,
|
| 1725 |
-
"learning_rate": 2.6583592938733126e-05,
|
| 1726 |
-
"loss": 0.2951,
|
| 1727 |
-
"step": 2790
|
| 1728 |
-
},
|
| 1729 |
-
{
|
| 1730 |
-
"epoch": 5.23,
|
| 1731 |
-
"learning_rate": 2.6479750778816197e-05,
|
| 1732 |
-
"loss": 0.1794,
|
| 1733 |
-
"step": 2800
|
| 1734 |
-
},
|
| 1735 |
-
{
|
| 1736 |
-
"epoch": 5.25,
|
| 1737 |
-
"learning_rate": 2.6375908618899274e-05,
|
| 1738 |
-
"loss": 0.2954,
|
| 1739 |
-
"step": 2810
|
| 1740 |
-
},
|
| 1741 |
-
{
|
| 1742 |
-
"epoch": 5.27,
|
| 1743 |
-
"learning_rate": 2.627206645898235e-05,
|
| 1744 |
-
"loss": 0.298,
|
| 1745 |
-
"step": 2820
|
| 1746 |
-
},
|
| 1747 |
-
{
|
| 1748 |
-
"epoch": 5.29,
|
| 1749 |
-
"learning_rate": 2.616822429906542e-05,
|
| 1750 |
-
"loss": 0.3187,
|
| 1751 |
-
"step": 2830
|
| 1752 |
-
},
|
| 1753 |
-
{
|
| 1754 |
-
"epoch": 5.31,
|
| 1755 |
-
"learning_rate": 2.6064382139148497e-05,
|
| 1756 |
-
"loss": 0.3297,
|
| 1757 |
-
"step": 2840
|
| 1758 |
-
},
|
| 1759 |
-
{
|
| 1760 |
-
"epoch": 5.33,
|
| 1761 |
-
"learning_rate": 2.5960539979231568e-05,
|
| 1762 |
-
"loss": 0.2431,
|
| 1763 |
-
"step": 2850
|
| 1764 |
-
},
|
| 1765 |
-
{
|
| 1766 |
-
"epoch": 5.35,
|
| 1767 |
-
"learning_rate": 2.585669781931464e-05,
|
| 1768 |
-
"loss": 0.3967,
|
| 1769 |
-
"step": 2860
|
| 1770 |
-
},
|
| 1771 |
-
{
|
| 1772 |
-
"epoch": 5.36,
|
| 1773 |
-
"learning_rate": 2.5752855659397716e-05,
|
| 1774 |
-
"loss": 0.3722,
|
| 1775 |
-
"step": 2870
|
| 1776 |
-
},
|
| 1777 |
-
{
|
| 1778 |
-
"epoch": 5.38,
|
| 1779 |
-
"learning_rate": 2.564901349948079e-05,
|
| 1780 |
-
"loss": 0.2752,
|
| 1781 |
-
"step": 2880
|
| 1782 |
-
},
|
| 1783 |
-
{
|
| 1784 |
-
"epoch": 5.4,
|
| 1785 |
-
"learning_rate": 2.554517133956386e-05,
|
| 1786 |
-
"loss": 0.2971,
|
| 1787 |
-
"step": 2890
|
| 1788 |
-
},
|
| 1789 |
-
{
|
| 1790 |
-
"epoch": 5.42,
|
| 1791 |
-
"learning_rate": 2.544132917964694e-05,
|
| 1792 |
-
"loss": 0.2804,
|
| 1793 |
-
"step": 2900
|
| 1794 |
-
},
|
| 1795 |
-
{
|
| 1796 |
-
"epoch": 5.44,
|
| 1797 |
-
"learning_rate": 2.533748701973001e-05,
|
| 1798 |
-
"loss": 0.3715,
|
| 1799 |
-
"step": 2910
|
| 1800 |
-
},
|
| 1801 |
-
{
|
| 1802 |
-
"epoch": 5.46,
|
| 1803 |
-
"learning_rate": 2.5233644859813084e-05,
|
| 1804 |
-
"loss": 0.2833,
|
| 1805 |
-
"step": 2920
|
| 1806 |
-
},
|
| 1807 |
-
{
|
| 1808 |
-
"epoch": 5.48,
|
| 1809 |
-
"learning_rate": 2.512980269989616e-05,
|
| 1810 |
-
"loss": 0.2891,
|
| 1811 |
-
"step": 2930
|
| 1812 |
-
},
|
| 1813 |
-
{
|
| 1814 |
-
"epoch": 5.5,
|
| 1815 |
-
"learning_rate": 2.5025960539979233e-05,
|
| 1816 |
-
"loss": 0.3122,
|
| 1817 |
-
"step": 2940
|
| 1818 |
-
},
|
| 1819 |
-
{
|
| 1820 |
-
"epoch": 5.51,
|
| 1821 |
-
"learning_rate": 2.4922118380062307e-05,
|
| 1822 |
-
"loss": 0.2891,
|
| 1823 |
-
"step": 2950
|
| 1824 |
-
},
|
| 1825 |
-
{
|
| 1826 |
-
"epoch": 5.53,
|
| 1827 |
-
"learning_rate": 2.481827622014538e-05,
|
| 1828 |
-
"loss": 0.3167,
|
| 1829 |
-
"step": 2960
|
| 1830 |
-
},
|
| 1831 |
-
{
|
| 1832 |
-
"epoch": 5.55,
|
| 1833 |
-
"learning_rate": 2.4714434060228452e-05,
|
| 1834 |
-
"loss": 0.3505,
|
| 1835 |
-
"step": 2970
|
| 1836 |
-
},
|
| 1837 |
-
{
|
| 1838 |
-
"epoch": 5.57,
|
| 1839 |
-
"learning_rate": 2.4610591900311526e-05,
|
| 1840 |
-
"loss": 0.3255,
|
| 1841 |
-
"step": 2980
|
| 1842 |
-
},
|
| 1843 |
-
{
|
| 1844 |
-
"epoch": 5.59,
|
| 1845 |
-
"learning_rate": 2.4506749740394604e-05,
|
| 1846 |
-
"loss": 0.2708,
|
| 1847 |
-
"step": 2990
|
| 1848 |
-
},
|
| 1849 |
-
{
|
| 1850 |
-
"epoch": 5.61,
|
| 1851 |
-
"learning_rate": 2.4402907580477675e-05,
|
| 1852 |
-
"loss": 0.3709,
|
| 1853 |
-
"step": 3000
|
| 1854 |
-
},
|
| 1855 |
-
{
|
| 1856 |
-
"epoch": 5.63,
|
| 1857 |
-
"learning_rate": 2.429906542056075e-05,
|
| 1858 |
-
"loss": 0.3623,
|
| 1859 |
-
"step": 3010
|
| 1860 |
-
},
|
| 1861 |
-
{
|
| 1862 |
-
"epoch": 5.64,
|
| 1863 |
-
"learning_rate": 2.4195223260643823e-05,
|
| 1864 |
-
"loss": 0.2488,
|
| 1865 |
-
"step": 3020
|
| 1866 |
-
},
|
| 1867 |
-
{
|
| 1868 |
-
"epoch": 5.66,
|
| 1869 |
-
"learning_rate": 2.4091381100726894e-05,
|
| 1870 |
-
"loss": 0.3012,
|
| 1871 |
-
"step": 3030
|
| 1872 |
-
},
|
| 1873 |
-
{
|
| 1874 |
-
"epoch": 5.68,
|
| 1875 |
-
"learning_rate": 2.398753894080997e-05,
|
| 1876 |
-
"loss": 0.318,
|
| 1877 |
-
"step": 3040
|
| 1878 |
-
},
|
| 1879 |
-
{
|
| 1880 |
-
"epoch": 5.7,
|
| 1881 |
-
"learning_rate": 2.3883696780893046e-05,
|
| 1882 |
-
"loss": 0.3596,
|
| 1883 |
-
"step": 3050
|
| 1884 |
-
},
|
| 1885 |
-
{
|
| 1886 |
-
"epoch": 5.72,
|
| 1887 |
-
"learning_rate": 2.3779854620976117e-05,
|
| 1888 |
-
"loss": 0.2923,
|
| 1889 |
-
"step": 3060
|
| 1890 |
-
},
|
| 1891 |
-
{
|
| 1892 |
-
"epoch": 5.74,
|
| 1893 |
-
"learning_rate": 2.367601246105919e-05,
|
| 1894 |
-
"loss": 0.3677,
|
| 1895 |
-
"step": 3070
|
| 1896 |
-
},
|
| 1897 |
-
{
|
| 1898 |
-
"epoch": 5.76,
|
| 1899 |
-
"learning_rate": 2.3572170301142265e-05,
|
| 1900 |
-
"loss": 0.2508,
|
| 1901 |
-
"step": 3080
|
| 1902 |
-
},
|
| 1903 |
-
{
|
| 1904 |
-
"epoch": 5.78,
|
| 1905 |
-
"learning_rate": 2.3468328141225336e-05,
|
| 1906 |
-
"loss": 0.2464,
|
| 1907 |
-
"step": 3090
|
| 1908 |
-
},
|
| 1909 |
-
{
|
| 1910 |
-
"epoch": 5.79,
|
| 1911 |
-
"learning_rate": 2.3364485981308414e-05,
|
| 1912 |
-
"loss": 0.3364,
|
| 1913 |
-
"step": 3100
|
| 1914 |
-
},
|
| 1915 |
-
{
|
| 1916 |
-
"epoch": 5.81,
|
| 1917 |
-
"learning_rate": 2.3260643821391488e-05,
|
| 1918 |
-
"loss": 0.2931,
|
| 1919 |
-
"step": 3110
|
| 1920 |
-
},
|
| 1921 |
-
{
|
| 1922 |
-
"epoch": 5.83,
|
| 1923 |
-
"learning_rate": 2.315680166147456e-05,
|
| 1924 |
-
"loss": 0.2962,
|
| 1925 |
-
"step": 3120
|
| 1926 |
-
},
|
| 1927 |
-
{
|
| 1928 |
-
"epoch": 5.85,
|
| 1929 |
-
"learning_rate": 2.3052959501557633e-05,
|
| 1930 |
-
"loss": 0.282,
|
| 1931 |
-
"step": 3130
|
| 1932 |
-
},
|
| 1933 |
-
{
|
| 1934 |
-
"epoch": 5.87,
|
| 1935 |
-
"learning_rate": 2.2949117341640707e-05,
|
| 1936 |
-
"loss": 0.2978,
|
| 1937 |
-
"step": 3140
|
| 1938 |
-
},
|
| 1939 |
-
{
|
| 1940 |
-
"epoch": 5.89,
|
| 1941 |
-
"learning_rate": 2.284527518172378e-05,
|
| 1942 |
-
"loss": 0.2524,
|
| 1943 |
-
"step": 3150
|
| 1944 |
-
},
|
| 1945 |
-
{
|
| 1946 |
-
"epoch": 5.91,
|
| 1947 |
-
"learning_rate": 2.2741433021806856e-05,
|
| 1948 |
-
"loss": 0.3384,
|
| 1949 |
-
"step": 3160
|
| 1950 |
-
},
|
| 1951 |
-
{
|
| 1952 |
-
"epoch": 5.93,
|
| 1953 |
-
"learning_rate": 2.263759086188993e-05,
|
| 1954 |
-
"loss": 0.2936,
|
| 1955 |
-
"step": 3170
|
| 1956 |
-
},
|
| 1957 |
-
{
|
| 1958 |
-
"epoch": 5.94,
|
| 1959 |
-
"learning_rate": 2.2533748701973e-05,
|
| 1960 |
-
"loss": 0.2521,
|
| 1961 |
-
"step": 3180
|
| 1962 |
-
},
|
| 1963 |
-
{
|
| 1964 |
-
"epoch": 5.96,
|
| 1965 |
-
"learning_rate": 2.2429906542056075e-05,
|
| 1966 |
-
"loss": 0.3685,
|
| 1967 |
-
"step": 3190
|
| 1968 |
-
},
|
| 1969 |
-
{
|
| 1970 |
-
"epoch": 5.98,
|
| 1971 |
-
"learning_rate": 2.232606438213915e-05,
|
| 1972 |
-
"loss": 0.2391,
|
| 1973 |
-
"step": 3200
|
| 1974 |
-
},
|
| 1975 |
-
{
|
| 1976 |
-
"epoch": 6.0,
|
| 1977 |
-
"learning_rate": 2.2222222222222223e-05,
|
| 1978 |
-
"loss": 0.2709,
|
| 1979 |
-
"step": 3210
|
| 1980 |
-
},
|
| 1981 |
-
{
|
| 1982 |
-
"epoch": 6.0,
|
| 1983 |
-
"eval_accuracy": 0.8735981308411215,
|
| 1984 |
-
"eval_loss": 0.37839841842651367,
|
| 1985 |
-
"eval_runtime": 92.127,
|
| 1986 |
-
"eval_samples_per_second": 46.458,
|
| 1987 |
-
"eval_steps_per_second": 5.807,
|
| 1988 |
-
"step": 3210
|
| 1989 |
-
},
|
| 1990 |
-
{
|
| 1991 |
-
"epoch": 6.02,
|
| 1992 |
-
"learning_rate": 2.2118380062305298e-05,
|
| 1993 |
-
"loss": 0.2305,
|
| 1994 |
-
"step": 3220
|
| 1995 |
-
},
|
| 1996 |
-
{
|
| 1997 |
-
"epoch": 6.04,
|
| 1998 |
-
"learning_rate": 2.2014537902388372e-05,
|
| 1999 |
-
"loss": 0.2758,
|
| 2000 |
-
"step": 3230
|
| 2001 |
-
},
|
| 2002 |
-
{
|
| 2003 |
-
"epoch": 6.06,
|
| 2004 |
-
"learning_rate": 2.1910695742471443e-05,
|
| 2005 |
-
"loss": 0.2602,
|
| 2006 |
-
"step": 3240
|
| 2007 |
-
},
|
| 2008 |
-
{
|
| 2009 |
-
"epoch": 6.07,
|
| 2010 |
-
"learning_rate": 2.1806853582554517e-05,
|
| 2011 |
-
"loss": 0.311,
|
| 2012 |
-
"step": 3250
|
| 2013 |
-
},
|
| 2014 |
-
{
|
| 2015 |
-
"epoch": 6.09,
|
| 2016 |
-
"learning_rate": 2.170301142263759e-05,
|
| 2017 |
-
"loss": 0.3315,
|
| 2018 |
-
"step": 3260
|
| 2019 |
-
},
|
| 2020 |
-
{
|
| 2021 |
-
"epoch": 6.11,
|
| 2022 |
-
"learning_rate": 2.1599169262720665e-05,
|
| 2023 |
-
"loss": 0.3078,
|
| 2024 |
-
"step": 3270
|
| 2025 |
-
},
|
| 2026 |
-
{
|
| 2027 |
-
"epoch": 6.13,
|
| 2028 |
-
"learning_rate": 2.149532710280374e-05,
|
| 2029 |
-
"loss": 0.319,
|
| 2030 |
-
"step": 3280
|
| 2031 |
-
},
|
| 2032 |
-
{
|
| 2033 |
-
"epoch": 6.15,
|
| 2034 |
-
"learning_rate": 2.1391484942886814e-05,
|
| 2035 |
-
"loss": 0.3326,
|
| 2036 |
-
"step": 3290
|
| 2037 |
-
},
|
| 2038 |
-
{
|
| 2039 |
-
"epoch": 6.17,
|
| 2040 |
-
"learning_rate": 2.1287642782969885e-05,
|
| 2041 |
-
"loss": 0.2892,
|
| 2042 |
-
"step": 3300
|
| 2043 |
-
},
|
| 2044 |
-
{
|
| 2045 |
-
"epoch": 6.19,
|
| 2046 |
-
"learning_rate": 2.118380062305296e-05,
|
| 2047 |
-
"loss": 0.2669,
|
| 2048 |
-
"step": 3310
|
| 2049 |
-
},
|
| 2050 |
-
{
|
| 2051 |
-
"epoch": 6.21,
|
| 2052 |
-
"learning_rate": 2.1079958463136033e-05,
|
| 2053 |
-
"loss": 0.2829,
|
| 2054 |
-
"step": 3320
|
| 2055 |
-
},
|
| 2056 |
-
{
|
| 2057 |
-
"epoch": 6.22,
|
| 2058 |
-
"learning_rate": 2.0976116303219107e-05,
|
| 2059 |
-
"loss": 0.2434,
|
| 2060 |
-
"step": 3330
|
| 2061 |
-
},
|
| 2062 |
-
{
|
| 2063 |
-
"epoch": 6.24,
|
| 2064 |
-
"learning_rate": 2.087227414330218e-05,
|
| 2065 |
-
"loss": 0.2422,
|
| 2066 |
-
"step": 3340
|
| 2067 |
-
},
|
| 2068 |
-
{
|
| 2069 |
-
"epoch": 6.26,
|
| 2070 |
-
"learning_rate": 2.0768431983385256e-05,
|
| 2071 |
-
"loss": 0.3655,
|
| 2072 |
-
"step": 3350
|
| 2073 |
-
},
|
| 2074 |
-
{
|
| 2075 |
-
"epoch": 6.28,
|
| 2076 |
-
"learning_rate": 2.066458982346833e-05,
|
| 2077 |
-
"loss": 0.2772,
|
| 2078 |
-
"step": 3360
|
| 2079 |
-
},
|
| 2080 |
-
{
|
| 2081 |
-
"epoch": 6.3,
|
| 2082 |
-
"learning_rate": 2.05607476635514e-05,
|
| 2083 |
-
"loss": 0.2542,
|
| 2084 |
-
"step": 3370
|
| 2085 |
-
},
|
| 2086 |
-
{
|
| 2087 |
-
"epoch": 6.32,
|
| 2088 |
-
"learning_rate": 2.045690550363448e-05,
|
| 2089 |
-
"loss": 0.2978,
|
| 2090 |
-
"step": 3380
|
| 2091 |
-
},
|
| 2092 |
-
{
|
| 2093 |
-
"epoch": 6.34,
|
| 2094 |
-
"learning_rate": 2.0353063343717553e-05,
|
| 2095 |
-
"loss": 0.2518,
|
| 2096 |
-
"step": 3390
|
| 2097 |
-
},
|
| 2098 |
-
{
|
| 2099 |
-
"epoch": 6.36,
|
| 2100 |
-
"learning_rate": 2.0249221183800623e-05,
|
| 2101 |
-
"loss": 0.2697,
|
| 2102 |
-
"step": 3400
|
| 2103 |
-
},
|
| 2104 |
-
{
|
| 2105 |
-
"epoch": 6.37,
|
| 2106 |
-
"learning_rate": 2.0145379023883698e-05,
|
| 2107 |
-
"loss": 0.2326,
|
| 2108 |
-
"step": 3410
|
| 2109 |
-
},
|
| 2110 |
-
{
|
| 2111 |
-
"epoch": 6.39,
|
| 2112 |
-
"learning_rate": 2.0041536863966772e-05,
|
| 2113 |
-
"loss": 0.29,
|
| 2114 |
-
"step": 3420
|
| 2115 |
-
},
|
| 2116 |
-
{
|
| 2117 |
-
"epoch": 6.41,
|
| 2118 |
-
"learning_rate": 1.9937694704049846e-05,
|
| 2119 |
-
"loss": 0.2858,
|
| 2120 |
-
"step": 3430
|
| 2121 |
-
},
|
| 2122 |
-
{
|
| 2123 |
-
"epoch": 6.43,
|
| 2124 |
-
"learning_rate": 1.983385254413292e-05,
|
| 2125 |
-
"loss": 0.2665,
|
| 2126 |
-
"step": 3440
|
| 2127 |
-
},
|
| 2128 |
-
{
|
| 2129 |
-
"epoch": 6.45,
|
| 2130 |
-
"learning_rate": 1.9730010384215995e-05,
|
| 2131 |
-
"loss": 0.2583,
|
| 2132 |
-
"step": 3450
|
| 2133 |
-
},
|
| 2134 |
-
{
|
| 2135 |
-
"epoch": 6.47,
|
| 2136 |
-
"learning_rate": 1.9626168224299065e-05,
|
| 2137 |
-
"loss": 0.3213,
|
| 2138 |
-
"step": 3460
|
| 2139 |
-
},
|
| 2140 |
-
{
|
| 2141 |
-
"epoch": 6.49,
|
| 2142 |
-
"learning_rate": 1.952232606438214e-05,
|
| 2143 |
-
"loss": 0.3385,
|
| 2144 |
-
"step": 3470
|
| 2145 |
-
},
|
| 2146 |
-
{
|
| 2147 |
-
"epoch": 6.5,
|
| 2148 |
-
"learning_rate": 1.9418483904465214e-05,
|
| 2149 |
-
"loss": 0.2492,
|
| 2150 |
-
"step": 3480
|
| 2151 |
-
},
|
| 2152 |
-
{
|
| 2153 |
-
"epoch": 6.52,
|
| 2154 |
-
"learning_rate": 1.9314641744548288e-05,
|
| 2155 |
-
"loss": 0.2829,
|
| 2156 |
-
"step": 3490
|
| 2157 |
-
},
|
| 2158 |
-
{
|
| 2159 |
-
"epoch": 6.54,
|
| 2160 |
-
"learning_rate": 1.9210799584631362e-05,
|
| 2161 |
-
"loss": 0.2651,
|
| 2162 |
-
"step": 3500
|
| 2163 |
-
},
|
| 2164 |
-
{
|
| 2165 |
-
"epoch": 6.56,
|
| 2166 |
-
"learning_rate": 1.9106957424714437e-05,
|
| 2167 |
-
"loss": 0.2671,
|
| 2168 |
-
"step": 3510
|
| 2169 |
-
},
|
| 2170 |
-
{
|
| 2171 |
-
"epoch": 6.58,
|
| 2172 |
-
"learning_rate": 1.9003115264797507e-05,
|
| 2173 |
-
"loss": 0.3116,
|
| 2174 |
-
"step": 3520
|
| 2175 |
-
},
|
| 2176 |
-
{
|
| 2177 |
-
"epoch": 6.6,
|
| 2178 |
-
"learning_rate": 1.889927310488058e-05,
|
| 2179 |
-
"loss": 0.3116,
|
| 2180 |
-
"step": 3530
|
| 2181 |
-
},
|
| 2182 |
-
{
|
| 2183 |
-
"epoch": 6.62,
|
| 2184 |
-
"learning_rate": 1.8795430944963656e-05,
|
| 2185 |
-
"loss": 0.2305,
|
| 2186 |
-
"step": 3540
|
| 2187 |
-
},
|
| 2188 |
-
{
|
| 2189 |
-
"epoch": 6.64,
|
| 2190 |
-
"learning_rate": 1.869158878504673e-05,
|
| 2191 |
-
"loss": 0.3035,
|
| 2192 |
-
"step": 3550
|
| 2193 |
-
},
|
| 2194 |
-
{
|
| 2195 |
-
"epoch": 6.65,
|
| 2196 |
-
"learning_rate": 1.8587746625129804e-05,
|
| 2197 |
-
"loss": 0.2388,
|
| 2198 |
-
"step": 3560
|
| 2199 |
-
},
|
| 2200 |
-
{
|
| 2201 |
-
"epoch": 6.67,
|
| 2202 |
-
"learning_rate": 1.848390446521288e-05,
|
| 2203 |
-
"loss": 0.2424,
|
| 2204 |
-
"step": 3570
|
| 2205 |
-
},
|
| 2206 |
-
{
|
| 2207 |
-
"epoch": 6.69,
|
| 2208 |
-
"learning_rate": 1.838006230529595e-05,
|
| 2209 |
-
"loss": 0.219,
|
| 2210 |
-
"step": 3580
|
| 2211 |
-
},
|
| 2212 |
-
{
|
| 2213 |
-
"epoch": 6.71,
|
| 2214 |
-
"learning_rate": 1.8276220145379024e-05,
|
| 2215 |
-
"loss": 0.212,
|
| 2216 |
-
"step": 3590
|
| 2217 |
-
},
|
| 2218 |
-
{
|
| 2219 |
-
"epoch": 6.73,
|
| 2220 |
-
"learning_rate": 1.8172377985462098e-05,
|
| 2221 |
-
"loss": 0.3682,
|
| 2222 |
-
"step": 3600
|
| 2223 |
-
},
|
| 2224 |
-
{
|
| 2225 |
-
"epoch": 6.75,
|
| 2226 |
-
"learning_rate": 1.8068535825545172e-05,
|
| 2227 |
-
"loss": 0.2882,
|
| 2228 |
-
"step": 3610
|
| 2229 |
-
},
|
| 2230 |
-
{
|
| 2231 |
-
"epoch": 6.77,
|
| 2232 |
-
"learning_rate": 1.7964693665628246e-05,
|
| 2233 |
-
"loss": 0.2846,
|
| 2234 |
-
"step": 3620
|
| 2235 |
-
},
|
| 2236 |
-
{
|
| 2237 |
-
"epoch": 6.79,
|
| 2238 |
-
"learning_rate": 1.786085150571132e-05,
|
| 2239 |
-
"loss": 0.276,
|
| 2240 |
-
"step": 3630
|
| 2241 |
-
},
|
| 2242 |
-
{
|
| 2243 |
-
"epoch": 6.8,
|
| 2244 |
-
"learning_rate": 1.775700934579439e-05,
|
| 2245 |
-
"loss": 0.214,
|
| 2246 |
-
"step": 3640
|
| 2247 |
-
},
|
| 2248 |
-
{
|
| 2249 |
-
"epoch": 6.82,
|
| 2250 |
-
"learning_rate": 1.7653167185877466e-05,
|
| 2251 |
-
"loss": 0.2351,
|
| 2252 |
-
"step": 3650
|
| 2253 |
-
},
|
| 2254 |
-
{
|
| 2255 |
-
"epoch": 6.84,
|
| 2256 |
-
"learning_rate": 1.7549325025960543e-05,
|
| 2257 |
-
"loss": 0.2428,
|
| 2258 |
-
"step": 3660
|
| 2259 |
-
},
|
| 2260 |
-
{
|
| 2261 |
-
"epoch": 6.86,
|
| 2262 |
-
"learning_rate": 1.7445482866043614e-05,
|
| 2263 |
-
"loss": 0.2289,
|
| 2264 |
-
"step": 3670
|
| 2265 |
-
},
|
| 2266 |
-
{
|
| 2267 |
-
"epoch": 6.88,
|
| 2268 |
-
"learning_rate": 1.734164070612669e-05,
|
| 2269 |
-
"loss": 0.2087,
|
| 2270 |
-
"step": 3680
|
| 2271 |
-
},
|
| 2272 |
-
{
|
| 2273 |
-
"epoch": 6.9,
|
| 2274 |
-
"learning_rate": 1.7237798546209763e-05,
|
| 2275 |
-
"loss": 0.2492,
|
| 2276 |
-
"step": 3690
|
| 2277 |
-
},
|
| 2278 |
-
{
|
| 2279 |
-
"epoch": 6.92,
|
| 2280 |
-
"learning_rate": 1.7133956386292833e-05,
|
| 2281 |
-
"loss": 0.2855,
|
| 2282 |
-
"step": 3700
|
| 2283 |
-
},
|
| 2284 |
-
{
|
| 2285 |
-
"epoch": 6.93,
|
| 2286 |
-
"learning_rate": 1.703011422637591e-05,
|
| 2287 |
-
"loss": 0.2701,
|
| 2288 |
-
"step": 3710
|
| 2289 |
-
},
|
| 2290 |
-
{
|
| 2291 |
-
"epoch": 6.95,
|
| 2292 |
-
"learning_rate": 1.6926272066458985e-05,
|
| 2293 |
-
"loss": 0.2635,
|
| 2294 |
-
"step": 3720
|
| 2295 |
-
},
|
| 2296 |
-
{
|
| 2297 |
-
"epoch": 6.97,
|
| 2298 |
-
"learning_rate": 1.6822429906542056e-05,
|
| 2299 |
-
"loss": 0.267,
|
| 2300 |
-
"step": 3730
|
| 2301 |
-
},
|
| 2302 |
-
{
|
| 2303 |
-
"epoch": 6.99,
|
| 2304 |
-
"learning_rate": 1.671858774662513e-05,
|
| 2305 |
-
"loss": 0.177,
|
| 2306 |
-
"step": 3740
|
| 2307 |
-
},
|
| 2308 |
-
{
|
| 2309 |
-
"epoch": 7.0,
|
| 2310 |
-
"eval_accuracy": 0.8745327102803738,
|
| 2311 |
-
"eval_loss": 0.37715595960617065,
|
| 2312 |
-
"eval_runtime": 95.1073,
|
| 2313 |
-
"eval_samples_per_second": 45.002,
|
| 2314 |
-
"eval_steps_per_second": 5.625,
|
| 2315 |
-
"step": 3745
|
| 2316 |
-
},
|
| 2317 |
-
{
|
| 2318 |
-
"epoch": 7.01,
|
| 2319 |
-
"learning_rate": 1.6614745586708205e-05,
|
| 2320 |
-
"loss": 0.307,
|
| 2321 |
-
"step": 3750
|
| 2322 |
-
},
|
| 2323 |
-
{
|
| 2324 |
-
"epoch": 7.03,
|
| 2325 |
-
"learning_rate": 1.6510903426791275e-05,
|
| 2326 |
-
"loss": 0.258,
|
| 2327 |
-
"step": 3760
|
| 2328 |
-
},
|
| 2329 |
-
{
|
| 2330 |
-
"epoch": 7.05,
|
| 2331 |
-
"learning_rate": 1.6407061266874353e-05,
|
| 2332 |
-
"loss": 0.2322,
|
| 2333 |
-
"step": 3770
|
| 2334 |
-
},
|
| 2335 |
-
{
|
| 2336 |
-
"epoch": 7.07,
|
| 2337 |
-
"learning_rate": 1.6303219106957427e-05,
|
| 2338 |
-
"loss": 0.187,
|
| 2339 |
-
"step": 3780
|
| 2340 |
-
},
|
| 2341 |
-
{
|
| 2342 |
-
"epoch": 7.08,
|
| 2343 |
-
"learning_rate": 1.6199376947040498e-05,
|
| 2344 |
-
"loss": 0.2838,
|
| 2345 |
-
"step": 3790
|
| 2346 |
-
},
|
| 2347 |
-
{
|
| 2348 |
-
"epoch": 7.1,
|
| 2349 |
-
"learning_rate": 1.6095534787123572e-05,
|
| 2350 |
-
"loss": 0.2353,
|
| 2351 |
-
"step": 3800
|
| 2352 |
-
},
|
| 2353 |
-
{
|
| 2354 |
-
"epoch": 7.12,
|
| 2355 |
-
"learning_rate": 1.5991692627206647e-05,
|
| 2356 |
-
"loss": 0.2661,
|
| 2357 |
-
"step": 3810
|
| 2358 |
-
},
|
| 2359 |
-
{
|
| 2360 |
-
"epoch": 7.14,
|
| 2361 |
-
"learning_rate": 1.588785046728972e-05,
|
| 2362 |
-
"loss": 0.1917,
|
| 2363 |
-
"step": 3820
|
| 2364 |
-
},
|
| 2365 |
-
{
|
| 2366 |
-
"epoch": 7.16,
|
| 2367 |
-
"learning_rate": 1.5784008307372795e-05,
|
| 2368 |
-
"loss": 0.1978,
|
| 2369 |
-
"step": 3830
|
| 2370 |
-
},
|
| 2371 |
-
{
|
| 2372 |
-
"epoch": 7.18,
|
| 2373 |
-
"learning_rate": 1.568016614745587e-05,
|
| 2374 |
-
"loss": 0.2688,
|
| 2375 |
-
"step": 3840
|
| 2376 |
-
},
|
| 2377 |
-
{
|
| 2378 |
-
"epoch": 7.2,
|
| 2379 |
-
"learning_rate": 1.557632398753894e-05,
|
| 2380 |
-
"loss": 0.2383,
|
| 2381 |
-
"step": 3850
|
| 2382 |
-
},
|
| 2383 |
-
{
|
| 2384 |
-
"epoch": 7.21,
|
| 2385 |
-
"learning_rate": 1.5472481827622014e-05,
|
| 2386 |
-
"loss": 0.2874,
|
| 2387 |
-
"step": 3860
|
| 2388 |
-
},
|
| 2389 |
-
{
|
| 2390 |
-
"epoch": 7.23,
|
| 2391 |
-
"learning_rate": 1.536863966770509e-05,
|
| 2392 |
-
"loss": 0.265,
|
| 2393 |
-
"step": 3870
|
| 2394 |
-
},
|
| 2395 |
-
{
|
| 2396 |
-
"epoch": 7.25,
|
| 2397 |
-
"learning_rate": 1.5264797507788163e-05,
|
| 2398 |
-
"loss": 0.1821,
|
| 2399 |
-
"step": 3880
|
| 2400 |
-
},
|
| 2401 |
-
{
|
| 2402 |
-
"epoch": 7.27,
|
| 2403 |
-
"learning_rate": 1.5160955347871237e-05,
|
| 2404 |
-
"loss": 0.193,
|
| 2405 |
-
"step": 3890
|
| 2406 |
-
},
|
| 2407 |
-
{
|
| 2408 |
-
"epoch": 7.29,
|
| 2409 |
-
"learning_rate": 1.5057113187954311e-05,
|
| 2410 |
-
"loss": 0.2681,
|
| 2411 |
-
"step": 3900
|
| 2412 |
-
},
|
| 2413 |
-
{
|
| 2414 |
-
"epoch": 7.31,
|
| 2415 |
-
"learning_rate": 1.4953271028037382e-05,
|
| 2416 |
-
"loss": 0.2406,
|
| 2417 |
-
"step": 3910
|
| 2418 |
-
},
|
| 2419 |
-
{
|
| 2420 |
-
"epoch": 7.33,
|
| 2421 |
-
"learning_rate": 1.4849428868120458e-05,
|
| 2422 |
-
"loss": 0.3214,
|
| 2423 |
-
"step": 3920
|
| 2424 |
-
},
|
| 2425 |
-
{
|
| 2426 |
-
"epoch": 7.35,
|
| 2427 |
-
"learning_rate": 1.4745586708203532e-05,
|
| 2428 |
-
"loss": 0.2521,
|
| 2429 |
-
"step": 3930
|
| 2430 |
-
},
|
| 2431 |
-
{
|
| 2432 |
-
"epoch": 7.36,
|
| 2433 |
-
"learning_rate": 1.4641744548286603e-05,
|
| 2434 |
-
"loss": 0.3427,
|
| 2435 |
-
"step": 3940
|
| 2436 |
-
},
|
| 2437 |
-
{
|
| 2438 |
-
"epoch": 7.38,
|
| 2439 |
-
"learning_rate": 1.4537902388369679e-05,
|
| 2440 |
-
"loss": 0.3272,
|
| 2441 |
-
"step": 3950
|
| 2442 |
-
},
|
| 2443 |
-
{
|
| 2444 |
-
"epoch": 7.4,
|
| 2445 |
-
"learning_rate": 1.4434060228452753e-05,
|
| 2446 |
-
"loss": 0.2336,
|
| 2447 |
-
"step": 3960
|
| 2448 |
-
},
|
| 2449 |
-
{
|
| 2450 |
-
"epoch": 7.42,
|
| 2451 |
-
"learning_rate": 1.4330218068535826e-05,
|
| 2452 |
-
"loss": 0.2209,
|
| 2453 |
-
"step": 3970
|
| 2454 |
-
},
|
| 2455 |
-
{
|
| 2456 |
-
"epoch": 7.44,
|
| 2457 |
-
"learning_rate": 1.42263759086189e-05,
|
| 2458 |
-
"loss": 0.222,
|
| 2459 |
-
"step": 3980
|
| 2460 |
-
},
|
| 2461 |
-
{
|
| 2462 |
-
"epoch": 7.46,
|
| 2463 |
-
"learning_rate": 1.4122533748701974e-05,
|
| 2464 |
-
"loss": 0.236,
|
| 2465 |
-
"step": 3990
|
| 2466 |
-
},
|
| 2467 |
-
{
|
| 2468 |
-
"epoch": 7.48,
|
| 2469 |
-
"learning_rate": 1.4018691588785047e-05,
|
| 2470 |
-
"loss": 0.2875,
|
| 2471 |
-
"step": 4000
|
| 2472 |
-
},
|
| 2473 |
-
{
|
| 2474 |
-
"epoch": 7.5,
|
| 2475 |
-
"learning_rate": 1.3914849428868121e-05,
|
| 2476 |
-
"loss": 0.2098,
|
| 2477 |
-
"step": 4010
|
| 2478 |
-
},
|
| 2479 |
-
{
|
| 2480 |
-
"epoch": 7.51,
|
| 2481 |
-
"learning_rate": 1.3811007268951195e-05,
|
| 2482 |
-
"loss": 0.324,
|
| 2483 |
-
"step": 4020
|
| 2484 |
-
},
|
| 2485 |
-
{
|
| 2486 |
-
"epoch": 7.53,
|
| 2487 |
-
"learning_rate": 1.3707165109034268e-05,
|
| 2488 |
-
"loss": 0.2038,
|
| 2489 |
-
"step": 4030
|
| 2490 |
-
},
|
| 2491 |
-
{
|
| 2492 |
-
"epoch": 7.55,
|
| 2493 |
-
"learning_rate": 1.3603322949117342e-05,
|
| 2494 |
-
"loss": 0.271,
|
| 2495 |
-
"step": 4040
|
| 2496 |
-
},
|
| 2497 |
-
{
|
| 2498 |
-
"epoch": 7.57,
|
| 2499 |
-
"learning_rate": 1.3499480789200416e-05,
|
| 2500 |
-
"loss": 0.296,
|
| 2501 |
-
"step": 4050
|
| 2502 |
-
},
|
| 2503 |
-
{
|
| 2504 |
-
"epoch": 7.59,
|
| 2505 |
-
"learning_rate": 1.3395638629283489e-05,
|
| 2506 |
-
"loss": 0.2557,
|
| 2507 |
-
"step": 4060
|
| 2508 |
-
},
|
| 2509 |
-
{
|
| 2510 |
-
"epoch": 7.61,
|
| 2511 |
-
"learning_rate": 1.3291796469366563e-05,
|
| 2512 |
-
"loss": 0.2788,
|
| 2513 |
-
"step": 4070
|
| 2514 |
-
},
|
| 2515 |
-
{
|
| 2516 |
-
"epoch": 7.63,
|
| 2517 |
-
"learning_rate": 1.3187954309449637e-05,
|
| 2518 |
-
"loss": 0.2684,
|
| 2519 |
-
"step": 4080
|
| 2520 |
-
},
|
| 2521 |
-
{
|
| 2522 |
-
"epoch": 7.64,
|
| 2523 |
-
"learning_rate": 1.308411214953271e-05,
|
| 2524 |
-
"loss": 0.2447,
|
| 2525 |
-
"step": 4090
|
| 2526 |
-
},
|
| 2527 |
-
{
|
| 2528 |
-
"epoch": 7.66,
|
| 2529 |
-
"learning_rate": 1.2980269989615784e-05,
|
| 2530 |
-
"loss": 0.287,
|
| 2531 |
-
"step": 4100
|
| 2532 |
-
},
|
| 2533 |
-
{
|
| 2534 |
-
"epoch": 7.68,
|
| 2535 |
-
"learning_rate": 1.2876427829698858e-05,
|
| 2536 |
-
"loss": 0.2186,
|
| 2537 |
-
"step": 4110
|
| 2538 |
-
},
|
| 2539 |
-
{
|
| 2540 |
-
"epoch": 7.7,
|
| 2541 |
-
"learning_rate": 1.277258566978193e-05,
|
| 2542 |
-
"loss": 0.1978,
|
| 2543 |
-
"step": 4120
|
| 2544 |
-
},
|
| 2545 |
-
{
|
| 2546 |
-
"epoch": 7.72,
|
| 2547 |
-
"learning_rate": 1.2668743509865005e-05,
|
| 2548 |
-
"loss": 0.2698,
|
| 2549 |
-
"step": 4130
|
| 2550 |
-
},
|
| 2551 |
-
{
|
| 2552 |
-
"epoch": 7.74,
|
| 2553 |
-
"learning_rate": 1.256490134994808e-05,
|
| 2554 |
-
"loss": 0.1624,
|
| 2555 |
-
"step": 4140
|
| 2556 |
-
},
|
| 2557 |
-
{
|
| 2558 |
-
"epoch": 7.76,
|
| 2559 |
-
"learning_rate": 1.2461059190031153e-05,
|
| 2560 |
-
"loss": 0.2591,
|
| 2561 |
-
"step": 4150
|
| 2562 |
-
},
|
| 2563 |
-
{
|
| 2564 |
-
"epoch": 7.78,
|
| 2565 |
-
"learning_rate": 1.2357217030114226e-05,
|
| 2566 |
-
"loss": 0.2035,
|
| 2567 |
-
"step": 4160
|
| 2568 |
-
},
|
| 2569 |
-
{
|
| 2570 |
-
"epoch": 7.79,
|
| 2571 |
-
"learning_rate": 1.2253374870197302e-05,
|
| 2572 |
-
"loss": 0.2285,
|
| 2573 |
-
"step": 4170
|
| 2574 |
-
},
|
| 2575 |
-
{
|
| 2576 |
-
"epoch": 7.81,
|
| 2577 |
-
"learning_rate": 1.2149532710280374e-05,
|
| 2578 |
-
"loss": 0.2257,
|
| 2579 |
-
"step": 4180
|
| 2580 |
-
},
|
| 2581 |
-
{
|
| 2582 |
-
"epoch": 7.83,
|
| 2583 |
-
"learning_rate": 1.2045690550363447e-05,
|
| 2584 |
-
"loss": 0.2555,
|
| 2585 |
-
"step": 4190
|
| 2586 |
-
},
|
| 2587 |
-
{
|
| 2588 |
-
"epoch": 7.85,
|
| 2589 |
-
"learning_rate": 1.1941848390446523e-05,
|
| 2590 |
-
"loss": 0.2192,
|
| 2591 |
-
"step": 4200
|
| 2592 |
-
},
|
| 2593 |
-
{
|
| 2594 |
-
"epoch": 7.87,
|
| 2595 |
-
"learning_rate": 1.1838006230529595e-05,
|
| 2596 |
-
"loss": 0.2169,
|
| 2597 |
-
"step": 4210
|
| 2598 |
-
},
|
| 2599 |
-
{
|
| 2600 |
-
"epoch": 7.89,
|
| 2601 |
-
"learning_rate": 1.1734164070612668e-05,
|
| 2602 |
-
"loss": 0.2914,
|
| 2603 |
-
"step": 4220
|
| 2604 |
-
},
|
| 2605 |
-
{
|
| 2606 |
-
"epoch": 7.91,
|
| 2607 |
-
"learning_rate": 1.1630321910695744e-05,
|
| 2608 |
-
"loss": 0.253,
|
| 2609 |
-
"step": 4230
|
| 2610 |
-
},
|
| 2611 |
-
{
|
| 2612 |
-
"epoch": 7.93,
|
| 2613 |
-
"learning_rate": 1.1526479750778816e-05,
|
| 2614 |
-
"loss": 0.2067,
|
| 2615 |
-
"step": 4240
|
| 2616 |
-
},
|
| 2617 |
-
{
|
| 2618 |
-
"epoch": 7.94,
|
| 2619 |
-
"learning_rate": 1.142263759086189e-05,
|
| 2620 |
-
"loss": 0.1995,
|
| 2621 |
-
"step": 4250
|
| 2622 |
-
},
|
| 2623 |
-
{
|
| 2624 |
-
"epoch": 7.96,
|
| 2625 |
-
"learning_rate": 1.1318795430944965e-05,
|
| 2626 |
-
"loss": 0.2902,
|
| 2627 |
-
"step": 4260
|
| 2628 |
-
},
|
| 2629 |
-
{
|
| 2630 |
-
"epoch": 7.98,
|
| 2631 |
-
"learning_rate": 1.1214953271028037e-05,
|
| 2632 |
-
"loss": 0.2051,
|
| 2633 |
-
"step": 4270
|
| 2634 |
-
},
|
| 2635 |
-
{
|
| 2636 |
-
"epoch": 8.0,
|
| 2637 |
-
"learning_rate": 1.1111111111111112e-05,
|
| 2638 |
-
"loss": 0.2409,
|
| 2639 |
-
"step": 4280
|
| 2640 |
-
},
|
| 2641 |
-
{
|
| 2642 |
-
"epoch": 8.0,
|
| 2643 |
-
"eval_accuracy": 0.8761682242990654,
|
| 2644 |
-
"eval_loss": 0.38753223419189453,
|
| 2645 |
-
"eval_runtime": 91.8924,
|
| 2646 |
-
"eval_samples_per_second": 46.576,
|
| 2647 |
-
"eval_steps_per_second": 5.822,
|
| 2648 |
-
"step": 4280
|
| 2649 |
-
},
|
| 2650 |
-
{
|
| 2651 |
-
"epoch": 8.02,
|
| 2652 |
-
"learning_rate": 1.1007268951194186e-05,
|
| 2653 |
-
"loss": 0.2436,
|
| 2654 |
-
"step": 4290
|
| 2655 |
-
},
|
| 2656 |
-
{
|
| 2657 |
-
"epoch": 8.04,
|
| 2658 |
-
"learning_rate": 1.0903426791277258e-05,
|
| 2659 |
-
"loss": 0.2468,
|
| 2660 |
-
"step": 4300
|
| 2661 |
-
},
|
| 2662 |
-
{
|
| 2663 |
-
"epoch": 8.06,
|
| 2664 |
-
"learning_rate": 1.0799584631360333e-05,
|
| 2665 |
-
"loss": 0.168,
|
| 2666 |
-
"step": 4310
|
| 2667 |
-
},
|
| 2668 |
-
{
|
| 2669 |
-
"epoch": 8.07,
|
| 2670 |
-
"learning_rate": 1.0695742471443407e-05,
|
| 2671 |
-
"loss": 0.2093,
|
| 2672 |
-
"step": 4320
|
| 2673 |
-
},
|
| 2674 |
-
{
|
| 2675 |
-
"epoch": 8.09,
|
| 2676 |
-
"learning_rate": 1.059190031152648e-05,
|
| 2677 |
-
"loss": 0.1616,
|
| 2678 |
-
"step": 4330
|
| 2679 |
-
},
|
| 2680 |
-
{
|
| 2681 |
-
"epoch": 8.11,
|
| 2682 |
-
"learning_rate": 1.0488058151609554e-05,
|
| 2683 |
-
"loss": 0.1912,
|
| 2684 |
-
"step": 4340
|
| 2685 |
-
},
|
| 2686 |
-
{
|
| 2687 |
-
"epoch": 8.13,
|
| 2688 |
-
"learning_rate": 1.0384215991692628e-05,
|
| 2689 |
-
"loss": 0.3157,
|
| 2690 |
-
"step": 4350
|
| 2691 |
-
},
|
| 2692 |
-
{
|
| 2693 |
-
"epoch": 8.15,
|
| 2694 |
-
"learning_rate": 1.02803738317757e-05,
|
| 2695 |
-
"loss": 0.2213,
|
| 2696 |
-
"step": 4360
|
| 2697 |
-
},
|
| 2698 |
-
{
|
| 2699 |
-
"epoch": 8.17,
|
| 2700 |
-
"learning_rate": 1.0176531671858776e-05,
|
| 2701 |
-
"loss": 0.2473,
|
| 2702 |
-
"step": 4370
|
| 2703 |
-
},
|
| 2704 |
-
{
|
| 2705 |
-
"epoch": 8.19,
|
| 2706 |
-
"learning_rate": 1.0072689511941849e-05,
|
| 2707 |
-
"loss": 0.2155,
|
| 2708 |
-
"step": 4380
|
| 2709 |
-
},
|
| 2710 |
-
{
|
| 2711 |
-
"epoch": 8.21,
|
| 2712 |
-
"learning_rate": 9.968847352024923e-06,
|
| 2713 |
-
"loss": 0.209,
|
| 2714 |
-
"step": 4390
|
| 2715 |
-
},
|
| 2716 |
-
{
|
| 2717 |
-
"epoch": 8.22,
|
| 2718 |
-
"learning_rate": 9.865005192107997e-06,
|
| 2719 |
-
"loss": 0.2552,
|
| 2720 |
-
"step": 4400
|
| 2721 |
-
},
|
| 2722 |
-
{
|
| 2723 |
-
"epoch": 8.24,
|
| 2724 |
-
"learning_rate": 9.76116303219107e-06,
|
| 2725 |
-
"loss": 0.2469,
|
| 2726 |
-
"step": 4410
|
| 2727 |
-
},
|
| 2728 |
-
{
|
| 2729 |
-
"epoch": 8.26,
|
| 2730 |
-
"learning_rate": 9.657320872274144e-06,
|
| 2731 |
-
"loss": 0.2195,
|
| 2732 |
-
"step": 4420
|
| 2733 |
-
},
|
| 2734 |
-
{
|
| 2735 |
-
"epoch": 8.28,
|
| 2736 |
-
"learning_rate": 9.553478712357218e-06,
|
| 2737 |
-
"loss": 0.2094,
|
| 2738 |
-
"step": 4430
|
| 2739 |
-
},
|
| 2740 |
-
{
|
| 2741 |
-
"epoch": 8.3,
|
| 2742 |
-
"learning_rate": 9.44963655244029e-06,
|
| 2743 |
-
"loss": 0.2593,
|
| 2744 |
-
"step": 4440
|
| 2745 |
-
},
|
| 2746 |
-
{
|
| 2747 |
-
"epoch": 8.32,
|
| 2748 |
-
"learning_rate": 9.345794392523365e-06,
|
| 2749 |
-
"loss": 0.254,
|
| 2750 |
-
"step": 4450
|
| 2751 |
-
},
|
| 2752 |
-
{
|
| 2753 |
-
"epoch": 8.34,
|
| 2754 |
-
"learning_rate": 9.24195223260644e-06,
|
| 2755 |
-
"loss": 0.1353,
|
| 2756 |
-
"step": 4460
|
| 2757 |
-
},
|
| 2758 |
-
{
|
| 2759 |
-
"epoch": 8.36,
|
| 2760 |
-
"learning_rate": 9.138110072689512e-06,
|
| 2761 |
-
"loss": 0.2152,
|
| 2762 |
-
"step": 4470
|
| 2763 |
-
},
|
| 2764 |
-
{
|
| 2765 |
-
"epoch": 8.37,
|
| 2766 |
-
"learning_rate": 9.034267912772586e-06,
|
| 2767 |
-
"loss": 0.2258,
|
| 2768 |
-
"step": 4480
|
| 2769 |
-
},
|
| 2770 |
-
{
|
| 2771 |
-
"epoch": 8.39,
|
| 2772 |
-
"learning_rate": 8.93042575285566e-06,
|
| 2773 |
-
"loss": 0.1593,
|
| 2774 |
-
"step": 4490
|
| 2775 |
-
},
|
| 2776 |
-
{
|
| 2777 |
-
"epoch": 8.41,
|
| 2778 |
-
"learning_rate": 8.826583592938733e-06,
|
| 2779 |
-
"loss": 0.1939,
|
| 2780 |
-
"step": 4500
|
| 2781 |
-
},
|
| 2782 |
-
{
|
| 2783 |
-
"epoch": 8.43,
|
| 2784 |
-
"learning_rate": 8.722741433021807e-06,
|
| 2785 |
-
"loss": 0.2717,
|
| 2786 |
-
"step": 4510
|
| 2787 |
-
},
|
| 2788 |
-
{
|
| 2789 |
-
"epoch": 8.45,
|
| 2790 |
-
"learning_rate": 8.618899273104881e-06,
|
| 2791 |
-
"loss": 0.2263,
|
| 2792 |
-
"step": 4520
|
| 2793 |
-
},
|
| 2794 |
-
{
|
| 2795 |
-
"epoch": 8.47,
|
| 2796 |
-
"learning_rate": 8.515057113187956e-06,
|
| 2797 |
-
"loss": 0.281,
|
| 2798 |
-
"step": 4530
|
| 2799 |
-
},
|
| 2800 |
-
{
|
| 2801 |
-
"epoch": 8.49,
|
| 2802 |
-
"learning_rate": 8.411214953271028e-06,
|
| 2803 |
-
"loss": 0.2438,
|
| 2804 |
-
"step": 4540
|
| 2805 |
-
},
|
| 2806 |
-
{
|
| 2807 |
-
"epoch": 8.5,
|
| 2808 |
-
"learning_rate": 8.307372793354102e-06,
|
| 2809 |
-
"loss": 0.1487,
|
| 2810 |
-
"step": 4550
|
| 2811 |
-
},
|
| 2812 |
-
{
|
| 2813 |
-
"epoch": 8.52,
|
| 2814 |
-
"learning_rate": 8.203530633437177e-06,
|
| 2815 |
-
"loss": 0.1811,
|
| 2816 |
-
"step": 4560
|
| 2817 |
-
},
|
| 2818 |
-
{
|
| 2819 |
-
"epoch": 8.54,
|
| 2820 |
-
"learning_rate": 8.099688473520249e-06,
|
| 2821 |
-
"loss": 0.2803,
|
| 2822 |
-
"step": 4570
|
| 2823 |
-
},
|
| 2824 |
-
{
|
| 2825 |
-
"epoch": 8.56,
|
| 2826 |
-
"learning_rate": 7.995846313603323e-06,
|
| 2827 |
-
"loss": 0.2339,
|
| 2828 |
-
"step": 4580
|
| 2829 |
-
},
|
| 2830 |
-
{
|
| 2831 |
-
"epoch": 8.58,
|
| 2832 |
-
"learning_rate": 7.892004153686398e-06,
|
| 2833 |
-
"loss": 0.2617,
|
| 2834 |
-
"step": 4590
|
| 2835 |
-
},
|
| 2836 |
-
{
|
| 2837 |
-
"epoch": 8.6,
|
| 2838 |
-
"learning_rate": 7.78816199376947e-06,
|
| 2839 |
-
"loss": 0.3019,
|
| 2840 |
-
"step": 4600
|
| 2841 |
-
},
|
| 2842 |
-
{
|
| 2843 |
-
"epoch": 8.62,
|
| 2844 |
-
"learning_rate": 7.684319833852544e-06,
|
| 2845 |
-
"loss": 0.2083,
|
| 2846 |
-
"step": 4610
|
| 2847 |
-
},
|
| 2848 |
-
{
|
| 2849 |
-
"epoch": 8.64,
|
| 2850 |
-
"learning_rate": 7.5804776739356185e-06,
|
| 2851 |
-
"loss": 0.24,
|
| 2852 |
-
"step": 4620
|
| 2853 |
-
},
|
| 2854 |
-
{
|
| 2855 |
-
"epoch": 8.65,
|
| 2856 |
-
"learning_rate": 7.476635514018691e-06,
|
| 2857 |
-
"loss": 0.2378,
|
| 2858 |
-
"step": 4630
|
| 2859 |
-
},
|
| 2860 |
-
{
|
| 2861 |
-
"epoch": 8.67,
|
| 2862 |
-
"learning_rate": 7.372793354101766e-06,
|
| 2863 |
-
"loss": 0.2475,
|
| 2864 |
-
"step": 4640
|
| 2865 |
-
},
|
| 2866 |
-
{
|
| 2867 |
-
"epoch": 8.69,
|
| 2868 |
-
"learning_rate": 7.2689511941848395e-06,
|
| 2869 |
-
"loss": 0.197,
|
| 2870 |
-
"step": 4650
|
| 2871 |
-
},
|
| 2872 |
-
{
|
| 2873 |
-
"epoch": 8.71,
|
| 2874 |
-
"learning_rate": 7.165109034267913e-06,
|
| 2875 |
-
"loss": 0.2302,
|
| 2876 |
-
"step": 4660
|
| 2877 |
-
},
|
| 2878 |
-
{
|
| 2879 |
-
"epoch": 8.73,
|
| 2880 |
-
"learning_rate": 7.061266874350987e-06,
|
| 2881 |
-
"loss": 0.2186,
|
| 2882 |
-
"step": 4670
|
| 2883 |
-
},
|
| 2884 |
-
{
|
| 2885 |
-
"epoch": 8.75,
|
| 2886 |
-
"learning_rate": 6.9574247144340605e-06,
|
| 2887 |
-
"loss": 0.2172,
|
| 2888 |
-
"step": 4680
|
| 2889 |
-
},
|
| 2890 |
-
{
|
| 2891 |
-
"epoch": 8.77,
|
| 2892 |
-
"learning_rate": 6.853582554517134e-06,
|
| 2893 |
-
"loss": 0.2189,
|
| 2894 |
-
"step": 4690
|
| 2895 |
-
},
|
| 2896 |
-
{
|
| 2897 |
-
"epoch": 8.79,
|
| 2898 |
-
"learning_rate": 6.749740394600208e-06,
|
| 2899 |
-
"loss": 0.2137,
|
| 2900 |
-
"step": 4700
|
| 2901 |
-
},
|
| 2902 |
-
{
|
| 2903 |
-
"epoch": 8.8,
|
| 2904 |
-
"learning_rate": 6.6458982346832815e-06,
|
| 2905 |
-
"loss": 0.2259,
|
| 2906 |
-
"step": 4710
|
| 2907 |
-
},
|
| 2908 |
-
{
|
| 2909 |
-
"epoch": 8.82,
|
| 2910 |
-
"learning_rate": 6.542056074766355e-06,
|
| 2911 |
-
"loss": 0.15,
|
| 2912 |
-
"step": 4720
|
| 2913 |
-
},
|
| 2914 |
-
{
|
| 2915 |
-
"epoch": 8.84,
|
| 2916 |
-
"learning_rate": 6.438213914849429e-06,
|
| 2917 |
-
"loss": 0.2622,
|
| 2918 |
-
"step": 4730
|
| 2919 |
-
},
|
| 2920 |
-
{
|
| 2921 |
-
"epoch": 8.86,
|
| 2922 |
-
"learning_rate": 6.3343717549325025e-06,
|
| 2923 |
-
"loss": 0.2009,
|
| 2924 |
-
"step": 4740
|
| 2925 |
-
},
|
| 2926 |
-
{
|
| 2927 |
-
"epoch": 8.88,
|
| 2928 |
-
"learning_rate": 6.230529595015577e-06,
|
| 2929 |
-
"loss": 0.2095,
|
| 2930 |
-
"step": 4750
|
| 2931 |
-
},
|
| 2932 |
-
{
|
| 2933 |
-
"epoch": 8.9,
|
| 2934 |
-
"learning_rate": 6.126687435098651e-06,
|
| 2935 |
-
"loss": 0.1766,
|
| 2936 |
-
"step": 4760
|
| 2937 |
-
},
|
| 2938 |
-
{
|
| 2939 |
-
"epoch": 8.92,
|
| 2940 |
-
"learning_rate": 6.0228452751817235e-06,
|
| 2941 |
-
"loss": 0.1982,
|
| 2942 |
-
"step": 4770
|
| 2943 |
-
},
|
| 2944 |
-
{
|
| 2945 |
-
"epoch": 8.93,
|
| 2946 |
-
"learning_rate": 5.919003115264798e-06,
|
| 2947 |
-
"loss": 0.2287,
|
| 2948 |
-
"step": 4780
|
| 2949 |
-
},
|
| 2950 |
-
{
|
| 2951 |
-
"epoch": 8.95,
|
| 2952 |
-
"learning_rate": 5.815160955347872e-06,
|
| 2953 |
-
"loss": 0.266,
|
| 2954 |
-
"step": 4790
|
| 2955 |
-
},
|
| 2956 |
-
{
|
| 2957 |
-
"epoch": 8.97,
|
| 2958 |
-
"learning_rate": 5.711318795430945e-06,
|
| 2959 |
-
"loss": 0.2196,
|
| 2960 |
-
"step": 4800
|
| 2961 |
-
},
|
| 2962 |
-
{
|
| 2963 |
-
"epoch": 8.99,
|
| 2964 |
-
"learning_rate": 5.607476635514019e-06,
|
| 2965 |
-
"loss": 0.1929,
|
| 2966 |
-
"step": 4810
|
| 2967 |
-
},
|
| 2968 |
-
{
|
| 2969 |
-
"epoch": 9.0,
|
| 2970 |
-
"eval_accuracy": 0.8707943925233644,
|
| 2971 |
-
"eval_loss": 0.3915020227432251,
|
| 2972 |
-
"eval_runtime": 93.367,
|
| 2973 |
-
"eval_samples_per_second": 45.841,
|
| 2974 |
-
"eval_steps_per_second": 5.73,
|
| 2975 |
-
"step": 4815
|
| 2976 |
-
},
|
| 2977 |
-
{
|
| 2978 |
-
"epoch": 9.01,
|
| 2979 |
-
"learning_rate": 5.503634475597093e-06,
|
| 2980 |
-
"loss": 0.2137,
|
| 2981 |
-
"step": 4820
|
| 2982 |
-
},
|
| 2983 |
-
{
|
| 2984 |
-
"epoch": 9.03,
|
| 2985 |
-
"learning_rate": 5.399792315680166e-06,
|
| 2986 |
-
"loss": 0.1994,
|
| 2987 |
-
"step": 4830
|
| 2988 |
-
},
|
| 2989 |
-
{
|
| 2990 |
-
"epoch": 9.05,
|
| 2991 |
-
"learning_rate": 5.29595015576324e-06,
|
| 2992 |
-
"loss": 0.2243,
|
| 2993 |
-
"step": 4840
|
| 2994 |
-
},
|
| 2995 |
-
{
|
| 2996 |
-
"epoch": 9.07,
|
| 2997 |
-
"learning_rate": 5.192107995846314e-06,
|
| 2998 |
-
"loss": 0.282,
|
| 2999 |
-
"step": 4850
|
| 3000 |
-
},
|
| 3001 |
-
{
|
| 3002 |
-
"epoch": 9.08,
|
| 3003 |
-
"learning_rate": 5.088265835929388e-06,
|
| 3004 |
-
"loss": 0.1425,
|
| 3005 |
-
"step": 4860
|
| 3006 |
-
},
|
| 3007 |
-
{
|
| 3008 |
-
"epoch": 9.1,
|
| 3009 |
-
"learning_rate": 4.9844236760124615e-06,
|
| 3010 |
-
"loss": 0.2213,
|
| 3011 |
-
"step": 4870
|
| 3012 |
-
},
|
| 3013 |
-
{
|
| 3014 |
-
"epoch": 9.12,
|
| 3015 |
-
"learning_rate": 4.880581516095535e-06,
|
| 3016 |
-
"loss": 0.1939,
|
| 3017 |
-
"step": 4880
|
| 3018 |
-
},
|
| 3019 |
-
{
|
| 3020 |
-
"epoch": 9.14,
|
| 3021 |
-
"learning_rate": 4.776739356178609e-06,
|
| 3022 |
-
"loss": 0.1753,
|
| 3023 |
-
"step": 4890
|
| 3024 |
-
},
|
| 3025 |
-
{
|
| 3026 |
-
"epoch": 9.16,
|
| 3027 |
-
"learning_rate": 4.6728971962616825e-06,
|
| 3028 |
-
"loss": 0.1758,
|
| 3029 |
-
"step": 4900
|
| 3030 |
-
},
|
| 3031 |
-
{
|
| 3032 |
-
"epoch": 9.18,
|
| 3033 |
-
"learning_rate": 4.569055036344756e-06,
|
| 3034 |
-
"loss": 0.1597,
|
| 3035 |
-
"step": 4910
|
| 3036 |
-
},
|
| 3037 |
-
{
|
| 3038 |
-
"epoch": 9.2,
|
| 3039 |
-
"learning_rate": 4.46521287642783e-06,
|
| 3040 |
-
"loss": 0.2269,
|
| 3041 |
-
"step": 4920
|
| 3042 |
-
},
|
| 3043 |
-
{
|
| 3044 |
-
"epoch": 9.21,
|
| 3045 |
-
"learning_rate": 4.3613707165109035e-06,
|
| 3046 |
-
"loss": 0.2723,
|
| 3047 |
-
"step": 4930
|
| 3048 |
-
},
|
| 3049 |
-
{
|
| 3050 |
-
"epoch": 9.23,
|
| 3051 |
-
"learning_rate": 4.257528556593978e-06,
|
| 3052 |
-
"loss": 0.2012,
|
| 3053 |
-
"step": 4940
|
| 3054 |
-
},
|
| 3055 |
-
{
|
| 3056 |
-
"epoch": 9.25,
|
| 3057 |
-
"learning_rate": 4.153686396677051e-06,
|
| 3058 |
-
"loss": 0.1863,
|
| 3059 |
-
"step": 4950
|
| 3060 |
-
},
|
| 3061 |
-
{
|
| 3062 |
-
"epoch": 9.27,
|
| 3063 |
-
"learning_rate": 4.0498442367601245e-06,
|
| 3064 |
-
"loss": 0.2029,
|
| 3065 |
-
"step": 4960
|
| 3066 |
-
},
|
| 3067 |
-
{
|
| 3068 |
-
"epoch": 9.29,
|
| 3069 |
-
"learning_rate": 3.946002076843199e-06,
|
| 3070 |
-
"loss": 0.2067,
|
| 3071 |
-
"step": 4970
|
| 3072 |
-
},
|
| 3073 |
-
{
|
| 3074 |
-
"epoch": 9.31,
|
| 3075 |
-
"learning_rate": 3.842159916926272e-06,
|
| 3076 |
-
"loss": 0.2359,
|
| 3077 |
-
"step": 4980
|
| 3078 |
-
},
|
| 3079 |
-
{
|
| 3080 |
-
"epoch": 9.33,
|
| 3081 |
-
"learning_rate": 3.7383177570093455e-06,
|
| 3082 |
-
"loss": 0.2398,
|
| 3083 |
-
"step": 4990
|
| 3084 |
-
},
|
| 3085 |
-
{
|
| 3086 |
-
"epoch": 9.35,
|
| 3087 |
-
"learning_rate": 3.6344755970924198e-06,
|
| 3088 |
-
"loss": 0.2233,
|
| 3089 |
-
"step": 5000
|
| 3090 |
-
},
|
| 3091 |
-
{
|
| 3092 |
-
"epoch": 9.36,
|
| 3093 |
-
"learning_rate": 3.5306334371754936e-06,
|
| 3094 |
-
"loss": 0.1934,
|
| 3095 |
-
"step": 5010
|
| 3096 |
-
},
|
| 3097 |
-
{
|
| 3098 |
-
"epoch": 9.38,
|
| 3099 |
-
"learning_rate": 3.426791277258567e-06,
|
| 3100 |
-
"loss": 0.2625,
|
| 3101 |
-
"step": 5020
|
| 3102 |
-
},
|
| 3103 |
-
{
|
| 3104 |
-
"epoch": 9.4,
|
| 3105 |
-
"learning_rate": 3.3229491173416407e-06,
|
| 3106 |
-
"loss": 0.2548,
|
| 3107 |
-
"step": 5030
|
| 3108 |
-
},
|
| 3109 |
-
{
|
| 3110 |
-
"epoch": 9.42,
|
| 3111 |
-
"learning_rate": 3.2191069574247146e-06,
|
| 3112 |
-
"loss": 0.1718,
|
| 3113 |
-
"step": 5040
|
| 3114 |
-
},
|
| 3115 |
-
{
|
| 3116 |
-
"epoch": 9.44,
|
| 3117 |
-
"learning_rate": 3.1152647975077884e-06,
|
| 3118 |
-
"loss": 0.1668,
|
| 3119 |
-
"step": 5050
|
| 3120 |
-
},
|
| 3121 |
-
{
|
| 3122 |
-
"epoch": 9.46,
|
| 3123 |
-
"learning_rate": 3.0114226375908617e-06,
|
| 3124 |
-
"loss": 0.2202,
|
| 3125 |
-
"step": 5060
|
| 3126 |
-
},
|
| 3127 |
-
{
|
| 3128 |
-
"epoch": 9.48,
|
| 3129 |
-
"learning_rate": 2.907580477673936e-06,
|
| 3130 |
-
"loss": 0.2091,
|
| 3131 |
-
"step": 5070
|
| 3132 |
-
},
|
| 3133 |
-
{
|
| 3134 |
-
"epoch": 9.5,
|
| 3135 |
-
"learning_rate": 2.8037383177570094e-06,
|
| 3136 |
-
"loss": 0.2213,
|
| 3137 |
-
"step": 5080
|
| 3138 |
-
},
|
| 3139 |
-
{
|
| 3140 |
-
"epoch": 9.51,
|
| 3141 |
-
"learning_rate": 2.699896157840083e-06,
|
| 3142 |
-
"loss": 0.2857,
|
| 3143 |
-
"step": 5090
|
| 3144 |
-
},
|
| 3145 |
-
{
|
| 3146 |
-
"epoch": 9.53,
|
| 3147 |
-
"learning_rate": 2.596053997923157e-06,
|
| 3148 |
-
"loss": 0.2209,
|
| 3149 |
-
"step": 5100
|
| 3150 |
-
},
|
| 3151 |
-
{
|
| 3152 |
-
"epoch": 9.55,
|
| 3153 |
-
"learning_rate": 2.4922118380062308e-06,
|
| 3154 |
-
"loss": 0.2341,
|
| 3155 |
-
"step": 5110
|
| 3156 |
-
},
|
| 3157 |
-
{
|
| 3158 |
-
"epoch": 9.57,
|
| 3159 |
-
"learning_rate": 2.3883696780893046e-06,
|
| 3160 |
-
"loss": 0.2111,
|
| 3161 |
-
"step": 5120
|
| 3162 |
-
},
|
| 3163 |
-
{
|
| 3164 |
-
"epoch": 9.59,
|
| 3165 |
-
"learning_rate": 2.284527518172378e-06,
|
| 3166 |
-
"loss": 0.1869,
|
| 3167 |
-
"step": 5130
|
| 3168 |
-
},
|
| 3169 |
-
{
|
| 3170 |
-
"epoch": 9.61,
|
| 3171 |
-
"learning_rate": 2.1806853582554518e-06,
|
| 3172 |
-
"loss": 0.2229,
|
| 3173 |
-
"step": 5140
|
| 3174 |
-
},
|
| 3175 |
-
{
|
| 3176 |
-
"epoch": 9.63,
|
| 3177 |
-
"learning_rate": 2.0768431983385256e-06,
|
| 3178 |
-
"loss": 0.2251,
|
| 3179 |
-
"step": 5150
|
| 3180 |
-
},
|
| 3181 |
-
{
|
| 3182 |
-
"epoch": 9.64,
|
| 3183 |
-
"learning_rate": 1.9730010384215994e-06,
|
| 3184 |
-
"loss": 0.183,
|
| 3185 |
-
"step": 5160
|
| 3186 |
-
},
|
| 3187 |
-
{
|
| 3188 |
-
"epoch": 9.66,
|
| 3189 |
-
"learning_rate": 1.8691588785046728e-06,
|
| 3190 |
-
"loss": 0.1606,
|
| 3191 |
-
"step": 5170
|
| 3192 |
-
},
|
| 3193 |
-
{
|
| 3194 |
-
"epoch": 9.68,
|
| 3195 |
-
"learning_rate": 1.7653167185877468e-06,
|
| 3196 |
-
"loss": 0.2067,
|
| 3197 |
-
"step": 5180
|
| 3198 |
-
},
|
| 3199 |
-
{
|
| 3200 |
-
"epoch": 9.7,
|
| 3201 |
-
"learning_rate": 1.6614745586708204e-06,
|
| 3202 |
-
"loss": 0.2346,
|
| 3203 |
-
"step": 5190
|
| 3204 |
-
},
|
| 3205 |
-
{
|
| 3206 |
-
"epoch": 9.72,
|
| 3207 |
-
"learning_rate": 1.5576323987538942e-06,
|
| 3208 |
-
"loss": 0.2161,
|
| 3209 |
-
"step": 5200
|
| 3210 |
-
},
|
| 3211 |
-
{
|
| 3212 |
-
"epoch": 9.74,
|
| 3213 |
-
"learning_rate": 1.453790238836968e-06,
|
| 3214 |
-
"loss": 0.2893,
|
| 3215 |
-
"step": 5210
|
| 3216 |
-
},
|
| 3217 |
-
{
|
| 3218 |
-
"epoch": 9.76,
|
| 3219 |
-
"learning_rate": 1.3499480789200416e-06,
|
| 3220 |
-
"loss": 0.2196,
|
| 3221 |
-
"step": 5220
|
| 3222 |
-
},
|
| 3223 |
-
{
|
| 3224 |
-
"epoch": 9.78,
|
| 3225 |
-
"learning_rate": 1.2461059190031154e-06,
|
| 3226 |
-
"loss": 0.2035,
|
| 3227 |
-
"step": 5230
|
| 3228 |
-
},
|
| 3229 |
-
{
|
| 3230 |
-
"epoch": 9.79,
|
| 3231 |
-
"learning_rate": 1.142263759086189e-06,
|
| 3232 |
-
"loss": 0.1541,
|
| 3233 |
-
"step": 5240
|
| 3234 |
-
},
|
| 3235 |
-
{
|
| 3236 |
-
"epoch": 9.81,
|
| 3237 |
-
"learning_rate": 1.0384215991692628e-06,
|
| 3238 |
-
"loss": 0.2105,
|
| 3239 |
-
"step": 5250
|
| 3240 |
-
},
|
| 3241 |
-
{
|
| 3242 |
-
"epoch": 9.83,
|
| 3243 |
-
"learning_rate": 9.345794392523364e-07,
|
| 3244 |
-
"loss": 0.2065,
|
| 3245 |
-
"step": 5260
|
| 3246 |
-
},
|
| 3247 |
-
{
|
| 3248 |
-
"epoch": 9.85,
|
| 3249 |
-
"learning_rate": 8.307372793354102e-07,
|
| 3250 |
-
"loss": 0.161,
|
| 3251 |
-
"step": 5270
|
| 3252 |
-
},
|
| 3253 |
-
{
|
| 3254 |
-
"epoch": 9.87,
|
| 3255 |
-
"learning_rate": 7.26895119418484e-07,
|
| 3256 |
-
"loss": 0.2285,
|
| 3257 |
-
"step": 5280
|
| 3258 |
-
},
|
| 3259 |
-
{
|
| 3260 |
-
"epoch": 9.89,
|
| 3261 |
-
"learning_rate": 6.230529595015577e-07,
|
| 3262 |
-
"loss": 0.2051,
|
| 3263 |
-
"step": 5290
|
| 3264 |
-
},
|
| 3265 |
-
{
|
| 3266 |
-
"epoch": 9.91,
|
| 3267 |
-
"learning_rate": 5.192107995846314e-07,
|
| 3268 |
-
"loss": 0.2291,
|
| 3269 |
-
"step": 5300
|
| 3270 |
-
},
|
| 3271 |
-
{
|
| 3272 |
-
"epoch": 9.93,
|
| 3273 |
-
"learning_rate": 4.153686396677051e-07,
|
| 3274 |
-
"loss": 0.2071,
|
| 3275 |
-
"step": 5310
|
| 3276 |
-
},
|
| 3277 |
-
{
|
| 3278 |
-
"epoch": 9.94,
|
| 3279 |
-
"learning_rate": 3.1152647975077885e-07,
|
| 3280 |
-
"loss": 0.2055,
|
| 3281 |
-
"step": 5320
|
| 3282 |
-
},
|
| 3283 |
-
{
|
| 3284 |
-
"epoch": 9.96,
|
| 3285 |
-
"learning_rate": 2.0768431983385255e-07,
|
| 3286 |
-
"loss": 0.1433,
|
| 3287 |
-
"step": 5330
|
| 3288 |
-
},
|
| 3289 |
-
{
|
| 3290 |
-
"epoch": 9.98,
|
| 3291 |
-
"learning_rate": 1.0384215991692627e-07,
|
| 3292 |
-
"loss": 0.2493,
|
| 3293 |
-
"step": 5340
|
| 3294 |
-
},
|
| 3295 |
{
|
| 3296 |
"epoch": 10.0,
|
| 3297 |
-
"
|
| 3298 |
-
"
|
| 3299 |
-
"
|
| 3300 |
-
|
| 3301 |
-
|
| 3302 |
-
"
|
| 3303 |
-
"eval_accuracy": 0.8714953271028038,
|
| 3304 |
-
"eval_loss": 0.38807550072669983,
|
| 3305 |
-
"eval_runtime": 92.2965,
|
| 3306 |
-
"eval_samples_per_second": 46.372,
|
| 3307 |
-
"eval_steps_per_second": 5.797,
|
| 3308 |
-
"step": 5350
|
| 3309 |
-
},
|
| 3310 |
-
{
|
| 3311 |
-
"epoch": 10.0,
|
| 3312 |
-
"step": 5350,
|
| 3313 |
-
"total_flos": 1.3264660513609667e+19,
|
| 3314 |
-
"train_loss": 0.36025063641717503,
|
| 3315 |
-
"train_runtime": 7147.2488,
|
| 3316 |
-
"train_samples_per_second": 23.949,
|
| 3317 |
-
"train_steps_per_second": 0.749
|
| 3318 |
},
|
| 3319 |
{
|
| 3320 |
"epoch": 10.0,
|
| 3321 |
-
"
|
| 3322 |
-
"
|
| 3323 |
-
"
|
| 3324 |
-
"
|
| 3325 |
-
"
|
| 3326 |
-
"
|
| 3327 |
}
|
| 3328 |
],
|
| 3329 |
-
"max_steps":
|
| 3330 |
"num_train_epochs": 10,
|
| 3331 |
-
"total_flos": 1.
|
| 3332 |
"trial_name": null,
|
| 3333 |
"trial_params": null
|
| 3334 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_metric": 0.8705607476635514,
|
| 3 |
+
"best_model_checkpoint": "vit-base-patch16-224-in21k-finetuned-cassava/checkpoint-1200",
|
| 4 |
+
"epoch": 9.996677740863788,
|
| 5 |
+
"global_step": 1500,
|
| 6 |
"is_hyper_param_search": false,
|
| 7 |
"is_local_process_zero": true,
|
| 8 |
"is_world_process_zero": true,
|
| 9 |
"log_history": [
|
| 10 |
{
|
| 11 |
+
"epoch": 0.07,
|
| 12 |
+
"learning_rate": 3.3333333333333333e-06,
|
| 13 |
+
"loss": 1.5923,
|
| 14 |
"step": 10
|
| 15 |
},
|
| 16 |
{
|
| 17 |
+
"epoch": 0.13,
|
| 18 |
+
"learning_rate": 6.666666666666667e-06,
|
| 19 |
+
"loss": 1.546,
|
| 20 |
"step": 20
|
| 21 |
},
|
| 22 |
{
|
| 23 |
+
"epoch": 0.2,
|
| 24 |
+
"learning_rate": 1e-05,
|
| 25 |
+
"loss": 1.425,
|
| 26 |
"step": 30
|
| 27 |
},
|
| 28 |
{
|
| 29 |
+
"epoch": 0.27,
|
| 30 |
+
"learning_rate": 1.3333333333333333e-05,
|
| 31 |
+
"loss": 1.2868,
|
| 32 |
"step": 40
|
| 33 |
},
|
| 34 |
{
|
| 35 |
+
"epoch": 0.33,
|
| 36 |
+
"learning_rate": 1.6666666666666667e-05,
|
| 37 |
+
"loss": 1.0968,
|
| 38 |
"step": 50
|
| 39 |
},
|
| 40 |
{
|
| 41 |
+
"epoch": 0.4,
|
| 42 |
+
"learning_rate": 2e-05,
|
| 43 |
+
"loss": 1.0634,
|
| 44 |
"step": 60
|
| 45 |
},
|
| 46 |
{
|
| 47 |
+
"epoch": 0.47,
|
| 48 |
+
"learning_rate": 2.3333333333333336e-05,
|
| 49 |
+
"loss": 0.9365,
|
| 50 |
"step": 70
|
| 51 |
},
|
| 52 |
{
|
| 53 |
+
"epoch": 0.53,
|
| 54 |
+
"learning_rate": 2.6666666666666667e-05,
|
| 55 |
+
"loss": 0.854,
|
| 56 |
"step": 80
|
| 57 |
},
|
| 58 |
{
|
| 59 |
+
"epoch": 0.6,
|
| 60 |
+
"learning_rate": 3e-05,
|
| 61 |
+
"loss": 0.7884,
|
| 62 |
"step": 90
|
| 63 |
},
|
| 64 |
{
|
| 65 |
+
"epoch": 0.66,
|
| 66 |
+
"learning_rate": 3.3333333333333335e-05,
|
| 67 |
+
"loss": 0.7399,
|
| 68 |
"step": 100
|
| 69 |
},
|
| 70 |
{
|
| 71 |
+
"epoch": 0.73,
|
| 72 |
+
"learning_rate": 3.6666666666666666e-05,
|
| 73 |
+
"loss": 0.6745,
|
| 74 |
"step": 110
|
| 75 |
},
|
| 76 |
{
|
| 77 |
+
"epoch": 0.8,
|
| 78 |
+
"learning_rate": 4e-05,
|
| 79 |
+
"loss": 0.6399,
|
| 80 |
"step": 120
|
| 81 |
},
|
| 82 |
{
|
| 83 |
+
"epoch": 0.86,
|
| 84 |
+
"learning_rate": 4.3333333333333334e-05,
|
| 85 |
+
"loss": 0.6273,
|
| 86 |
"step": 130
|
| 87 |
},
|
| 88 |
{
|
| 89 |
+
"epoch": 0.93,
|
| 90 |
+
"learning_rate": 4.666666666666667e-05,
|
| 91 |
+
"loss": 0.5644,
|
| 92 |
"step": 140
|
| 93 |
},
|
| 94 |
{
|
| 95 |
+
"epoch": 1.0,
|
| 96 |
+
"learning_rate": 5e-05,
|
| 97 |
+
"loss": 0.5628,
|
| 98 |
+
"step": 150
|
| 99 |
+
},
|
| 100 |
+
{
|
| 101 |
+
"epoch": 1.0,
|
| 102 |
+
"eval_accuracy": 0.8308411214953271,
|
| 103 |
+
"eval_loss": 0.5357394218444824,
|
| 104 |
+
"eval_runtime": 44.4006,
|
| 105 |
+
"eval_samples_per_second": 48.198,
|
| 106 |
+
"eval_steps_per_second": 1.509,
|
| 107 |
"step": 150
|
| 108 |
},
|
| 109 |
{
|
| 110 |
+
"epoch": 1.07,
|
| 111 |
+
"learning_rate": 4.962962962962963e-05,
|
| 112 |
+
"loss": 0.5665,
|
| 113 |
"step": 160
|
| 114 |
},
|
| 115 |
{
|
| 116 |
+
"epoch": 1.13,
|
| 117 |
+
"learning_rate": 4.925925925925926e-05,
|
| 118 |
+
"loss": 0.5119,
|
| 119 |
"step": 170
|
| 120 |
},
|
| 121 |
{
|
| 122 |
+
"epoch": 1.2,
|
| 123 |
+
"learning_rate": 4.888888888888889e-05,
|
| 124 |
+
"loss": 0.4606,
|
| 125 |
"step": 180
|
| 126 |
},
|
| 127 |
{
|
| 128 |
+
"epoch": 1.27,
|
| 129 |
+
"learning_rate": 4.851851851851852e-05,
|
| 130 |
+
"loss": 0.5033,
|
| 131 |
"step": 190
|
| 132 |
},
|
| 133 |
{
|
| 134 |
+
"epoch": 1.33,
|
| 135 |
+
"learning_rate": 4.814814814814815e-05,
|
| 136 |
+
"loss": 0.4933,
|
| 137 |
"step": 200
|
| 138 |
},
|
| 139 |
{
|
| 140 |
+
"epoch": 1.4,
|
| 141 |
+
"learning_rate": 4.7777777777777784e-05,
|
| 142 |
+
"loss": 0.4688,
|
| 143 |
"step": 210
|
| 144 |
},
|
| 145 |
{
|
| 146 |
+
"epoch": 1.47,
|
| 147 |
+
"learning_rate": 4.740740740740741e-05,
|
| 148 |
+
"loss": 0.514,
|
| 149 |
"step": 220
|
| 150 |
},
|
| 151 |
{
|
| 152 |
+
"epoch": 1.53,
|
| 153 |
+
"learning_rate": 4.703703703703704e-05,
|
| 154 |
+
"loss": 0.4439,
|
| 155 |
"step": 230
|
| 156 |
},
|
| 157 |
{
|
| 158 |
+
"epoch": 1.6,
|
| 159 |
+
"learning_rate": 4.666666666666667e-05,
|
| 160 |
+
"loss": 0.5142,
|
| 161 |
"step": 240
|
| 162 |
},
|
| 163 |
{
|
| 164 |
+
"epoch": 1.66,
|
| 165 |
+
"learning_rate": 4.62962962962963e-05,
|
| 166 |
+
"loss": 0.4206,
|
| 167 |
"step": 250
|
| 168 |
},
|
| 169 |
{
|
| 170 |
+
"epoch": 1.73,
|
| 171 |
+
"learning_rate": 4.592592592592593e-05,
|
| 172 |
+
"loss": 0.4254,
|
| 173 |
"step": 260
|
| 174 |
},
|
| 175 |
{
|
| 176 |
+
"epoch": 1.8,
|
| 177 |
+
"learning_rate": 4.555555555555556e-05,
|
| 178 |
+
"loss": 0.4284,
|
| 179 |
"step": 270
|
| 180 |
},
|
| 181 |
{
|
| 182 |
+
"epoch": 1.86,
|
| 183 |
+
"learning_rate": 4.518518518518519e-05,
|
| 184 |
+
"loss": 0.4446,
|
| 185 |
"step": 280
|
| 186 |
},
|
| 187 |
{
|
| 188 |
+
"epoch": 1.93,
|
| 189 |
+
"learning_rate": 4.481481481481482e-05,
|
| 190 |
+
"loss": 0.422,
|
| 191 |
"step": 290
|
| 192 |
},
|
| 193 |
{
|
| 194 |
+
"epoch": 2.0,
|
| 195 |
+
"learning_rate": 4.4444444444444447e-05,
|
| 196 |
+
"loss": 0.4398,
|
| 197 |
+
"step": 300
|
| 198 |
+
},
|
| 199 |
+
{
|
| 200 |
+
"epoch": 2.0,
|
| 201 |
+
"eval_accuracy": 0.8598130841121495,
|
| 202 |
+
"eval_loss": 0.43114611506462097,
|
| 203 |
+
"eval_runtime": 46.3574,
|
| 204 |
+
"eval_samples_per_second": 46.163,
|
| 205 |
+
"eval_steps_per_second": 1.445,
|
| 206 |
"step": 300
|
| 207 |
},
|
| 208 |
{
|
| 209 |
+
"epoch": 2.07,
|
| 210 |
+
"learning_rate": 4.4074074074074076e-05,
|
| 211 |
+
"loss": 0.4463,
|
| 212 |
"step": 310
|
| 213 |
},
|
| 214 |
{
|
| 215 |
+
"epoch": 2.13,
|
| 216 |
+
"learning_rate": 4.3703703703703705e-05,
|
| 217 |
+
"loss": 0.3933,
|
| 218 |
"step": 320
|
| 219 |
},
|
| 220 |
{
|
| 221 |
+
"epoch": 2.2,
|
| 222 |
+
"learning_rate": 4.3333333333333334e-05,
|
| 223 |
+
"loss": 0.4323,
|
| 224 |
"step": 330
|
| 225 |
},
|
| 226 |
{
|
| 227 |
+
"epoch": 2.27,
|
| 228 |
+
"learning_rate": 4.296296296296296e-05,
|
| 229 |
+
"loss": 0.4332,
|
| 230 |
"step": 340
|
| 231 |
},
|
| 232 |
{
|
| 233 |
+
"epoch": 2.33,
|
| 234 |
+
"learning_rate": 4.259259259259259e-05,
|
| 235 |
+
"loss": 0.4394,
|
| 236 |
"step": 350
|
| 237 |
},
|
| 238 |
{
|
| 239 |
+
"epoch": 2.4,
|
| 240 |
+
"learning_rate": 4.222222222222222e-05,
|
| 241 |
+
"loss": 0.4084,
|
| 242 |
"step": 360
|
| 243 |
},
|
| 244 |
{
|
| 245 |
+
"epoch": 2.47,
|
| 246 |
+
"learning_rate": 4.185185185185185e-05,
|
| 247 |
+
"loss": 0.3772,
|
| 248 |
"step": 370
|
| 249 |
},
|
| 250 |
{
|
| 251 |
+
"epoch": 2.53,
|
| 252 |
+
"learning_rate": 4.148148148148148e-05,
|
| 253 |
+
"loss": 0.4324,
|
| 254 |
"step": 380
|
| 255 |
},
|
| 256 |
{
|
| 257 |
+
"epoch": 2.6,
|
| 258 |
+
"learning_rate": 4.111111111111111e-05,
|
| 259 |
+
"loss": 0.3999,
|
| 260 |
"step": 390
|
| 261 |
},
|
| 262 |
{
|
| 263 |
+
"epoch": 2.66,
|
| 264 |
+
"learning_rate": 4.074074074074074e-05,
|
| 265 |
+
"loss": 0.425,
|
| 266 |
"step": 400
|
| 267 |
},
|
| 268 |
{
|
| 269 |
+
"epoch": 2.73,
|
| 270 |
+
"learning_rate": 4.0370370370370374e-05,
|
| 271 |
+
"loss": 0.42,
|
| 272 |
"step": 410
|
| 273 |
},
|
| 274 |
{
|
| 275 |
+
"epoch": 2.8,
|
| 276 |
+
"learning_rate": 4e-05,
|
| 277 |
+
"loss": 0.431,
|
| 278 |
"step": 420
|
| 279 |
},
|
| 280 |
{
|
| 281 |
+
"epoch": 2.86,
|
| 282 |
+
"learning_rate": 3.962962962962963e-05,
|
| 283 |
+
"loss": 0.3784,
|
| 284 |
"step": 430
|
| 285 |
},
|
| 286 |
{
|
| 287 |
+
"epoch": 2.93,
|
| 288 |
+
"learning_rate": 3.925925925925926e-05,
|
| 289 |
+
"loss": 0.3684,
|
| 290 |
"step": 440
|
| 291 |
},
|
| 292 |
{
|
| 293 |
+
"epoch": 3.0,
|
| 294 |
+
"learning_rate": 3.888888888888889e-05,
|
| 295 |
+
"loss": 0.4022,
|
| 296 |
"step": 450
|
| 297 |
},
|
| 298 |
{
|
| 299 |
+
"epoch": 3.0,
|
| 300 |
+
"eval_accuracy": 0.866822429906542,
|
| 301 |
+
"eval_loss": 0.39579352736473083,
|
| 302 |
+
"eval_runtime": 44.3798,
|
| 303 |
+
"eval_samples_per_second": 48.22,
|
| 304 |
+
"eval_steps_per_second": 1.51,
|
| 305 |
+
"step": 450
|
| 306 |
+
},
|
| 307 |
+
{
|
| 308 |
+
"epoch": 3.07,
|
| 309 |
+
"learning_rate": 3.851851851851852e-05,
|
| 310 |
+
"loss": 0.4017,
|
| 311 |
"step": 460
|
| 312 |
},
|
| 313 |
{
|
| 314 |
+
"epoch": 3.13,
|
| 315 |
+
"learning_rate": 3.814814814814815e-05,
|
| 316 |
+
"loss": 0.4008,
|
| 317 |
"step": 470
|
| 318 |
},
|
| 319 |
{
|
| 320 |
+
"epoch": 3.2,
|
| 321 |
+
"learning_rate": 3.777777777777778e-05,
|
| 322 |
+
"loss": 0.3794,
|
| 323 |
"step": 480
|
| 324 |
},
|
| 325 |
{
|
| 326 |
+
"epoch": 3.27,
|
| 327 |
+
"learning_rate": 3.740740740740741e-05,
|
| 328 |
+
"loss": 0.3789,
|
| 329 |
"step": 490
|
| 330 |
},
|
| 331 |
{
|
| 332 |
+
"epoch": 3.33,
|
| 333 |
+
"learning_rate": 3.7037037037037037e-05,
|
| 334 |
+
"loss": 0.3759,
|
| 335 |
"step": 500
|
| 336 |
},
|
| 337 |
{
|
| 338 |
+
"epoch": 3.4,
|
| 339 |
+
"learning_rate": 3.6666666666666666e-05,
|
| 340 |
+
"loss": 0.3652,
|
| 341 |
"step": 510
|
| 342 |
},
|
| 343 |
{
|
| 344 |
+
"epoch": 3.47,
|
| 345 |
+
"learning_rate": 3.62962962962963e-05,
|
| 346 |
+
"loss": 0.3496,
|
| 347 |
"step": 520
|
| 348 |
},
|
| 349 |
{
|
| 350 |
+
"epoch": 3.53,
|
| 351 |
+
"learning_rate": 3.592592592592593e-05,
|
| 352 |
+
"loss": 0.3565,
|
| 353 |
"step": 530
|
| 354 |
},
|
| 355 |
{
|
| 356 |
+
"epoch": 3.6,
|
| 357 |
+
"learning_rate": 3.555555555555556e-05,
|
| 358 |
+
"loss": 0.3943,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 359 |
"step": 540
|
| 360 |
},
|
| 361 |
{
|
| 362 |
+
"epoch": 3.66,
|
| 363 |
+
"learning_rate": 3.518518518518519e-05,
|
| 364 |
+
"loss": 0.3959,
|
| 365 |
"step": 550
|
| 366 |
},
|
| 367 |
{
|
| 368 |
+
"epoch": 3.73,
|
| 369 |
+
"learning_rate": 3.481481481481482e-05,
|
| 370 |
+
"loss": 0.3871,
|
| 371 |
"step": 560
|
| 372 |
},
|
| 373 |
{
|
| 374 |
+
"epoch": 3.8,
|
| 375 |
+
"learning_rate": 3.444444444444445e-05,
|
| 376 |
+
"loss": 0.3636,
|
| 377 |
"step": 570
|
| 378 |
},
|
| 379 |
{
|
| 380 |
+
"epoch": 3.86,
|
| 381 |
+
"learning_rate": 3.4074074074074077e-05,
|
| 382 |
+
"loss": 0.3487,
|
| 383 |
"step": 580
|
| 384 |
},
|
| 385 |
{
|
| 386 |
+
"epoch": 3.93,
|
| 387 |
+
"learning_rate": 3.3703703703703706e-05,
|
| 388 |
+
"loss": 0.4183,
|
| 389 |
"step": 590
|
| 390 |
},
|
| 391 |
{
|
| 392 |
+
"epoch": 4.0,
|
| 393 |
+
"learning_rate": 3.3333333333333335e-05,
|
| 394 |
+
"loss": 0.3855,
|
| 395 |
+
"step": 600
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 4.0,
|
| 399 |
+
"eval_accuracy": 0.8598130841121495,
|
| 400 |
+
"eval_loss": 0.4029967784881592,
|
| 401 |
+
"eval_runtime": 42.4817,
|
| 402 |
+
"eval_samples_per_second": 50.375,
|
| 403 |
+
"eval_steps_per_second": 1.577,
|
| 404 |
"step": 600
|
| 405 |
},
|
| 406 |
{
|
| 407 |
+
"epoch": 4.07,
|
| 408 |
+
"learning_rate": 3.2962962962962964e-05,
|
| 409 |
+
"loss": 0.3929,
|
| 410 |
"step": 610
|
| 411 |
},
|
| 412 |
{
|
| 413 |
+
"epoch": 4.13,
|
| 414 |
+
"learning_rate": 3.25925925925926e-05,
|
| 415 |
+
"loss": 0.3455,
|
| 416 |
"step": 620
|
| 417 |
},
|
| 418 |
{
|
| 419 |
+
"epoch": 4.2,
|
| 420 |
+
"learning_rate": 3.222222222222223e-05,
|
| 421 |
+
"loss": 0.351,
|
| 422 |
"step": 630
|
| 423 |
},
|
| 424 |
{
|
| 425 |
+
"epoch": 4.27,
|
| 426 |
+
"learning_rate": 3.185185185185185e-05,
|
| 427 |
+
"loss": 0.3597,
|
| 428 |
"step": 640
|
| 429 |
},
|
| 430 |
{
|
| 431 |
+
"epoch": 4.33,
|
| 432 |
+
"learning_rate": 3.148148148148148e-05,
|
| 433 |
+
"loss": 0.3524,
|
| 434 |
"step": 650
|
| 435 |
},
|
| 436 |
{
|
| 437 |
+
"epoch": 4.4,
|
| 438 |
+
"learning_rate": 3.111111111111111e-05,
|
| 439 |
+
"loss": 0.3514,
|
| 440 |
"step": 660
|
| 441 |
},
|
| 442 |
{
|
| 443 |
+
"epoch": 4.47,
|
| 444 |
+
"learning_rate": 3.074074074074074e-05,
|
| 445 |
+
"loss": 0.3362,
|
| 446 |
"step": 670
|
| 447 |
},
|
| 448 |
{
|
| 449 |
+
"epoch": 4.53,
|
| 450 |
+
"learning_rate": 3.037037037037037e-05,
|
| 451 |
+
"loss": 0.3549,
|
| 452 |
"step": 680
|
| 453 |
},
|
| 454 |
{
|
| 455 |
+
"epoch": 4.6,
|
| 456 |
+
"learning_rate": 3e-05,
|
| 457 |
+
"loss": 0.3175,
|
| 458 |
"step": 690
|
| 459 |
},
|
| 460 |
{
|
| 461 |
+
"epoch": 4.66,
|
| 462 |
+
"learning_rate": 2.962962962962963e-05,
|
| 463 |
+
"loss": 0.3253,
|
| 464 |
"step": 700
|
| 465 |
},
|
| 466 |
{
|
| 467 |
+
"epoch": 4.73,
|
| 468 |
+
"learning_rate": 2.925925925925926e-05,
|
| 469 |
+
"loss": 0.3367,
|
| 470 |
"step": 710
|
| 471 |
},
|
| 472 |
{
|
| 473 |
+
"epoch": 4.8,
|
| 474 |
+
"learning_rate": 2.8888888888888888e-05,
|
| 475 |
+
"loss": 0.3571,
|
| 476 |
"step": 720
|
| 477 |
},
|
| 478 |
{
|
| 479 |
+
"epoch": 4.86,
|
| 480 |
+
"learning_rate": 2.851851851851852e-05,
|
| 481 |
+
"loss": 0.3256,
|
| 482 |
"step": 730
|
| 483 |
},
|
| 484 |
{
|
| 485 |
+
"epoch": 4.93,
|
| 486 |
+
"learning_rate": 2.814814814814815e-05,
|
| 487 |
+
"loss": 0.3747,
|
| 488 |
"step": 740
|
| 489 |
},
|
| 490 |
{
|
| 491 |
+
"epoch": 5.0,
|
| 492 |
+
"learning_rate": 2.777777777777778e-05,
|
| 493 |
+
"loss": 0.3659,
|
| 494 |
+
"step": 750
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 5.0,
|
| 498 |
+
"eval_accuracy": 0.8616822429906542,
|
| 499 |
+
"eval_loss": 0.4124689996242523,
|
| 500 |
+
"eval_runtime": 43.3097,
|
| 501 |
+
"eval_samples_per_second": 49.412,
|
| 502 |
+
"eval_steps_per_second": 1.547,
|
| 503 |
"step": 750
|
| 504 |
},
|
| 505 |
{
|
| 506 |
+
"epoch": 5.07,
|
| 507 |
+
"learning_rate": 2.7407407407407408e-05,
|
| 508 |
+
"loss": 0.3325,
|
| 509 |
"step": 760
|
| 510 |
},
|
| 511 |
{
|
| 512 |
+
"epoch": 5.13,
|
| 513 |
+
"learning_rate": 2.7037037037037037e-05,
|
| 514 |
+
"loss": 0.3088,
|
| 515 |
"step": 770
|
| 516 |
},
|
| 517 |
{
|
| 518 |
+
"epoch": 5.2,
|
| 519 |
+
"learning_rate": 2.6666666666666667e-05,
|
| 520 |
+
"loss": 0.3233,
|
| 521 |
"step": 780
|
| 522 |
},
|
| 523 |
{
|
| 524 |
+
"epoch": 5.27,
|
| 525 |
+
"learning_rate": 2.6296296296296296e-05,
|
| 526 |
+
"loss": 0.2802,
|
| 527 |
"step": 790
|
| 528 |
},
|
| 529 |
{
|
| 530 |
+
"epoch": 5.33,
|
| 531 |
+
"learning_rate": 2.5925925925925925e-05,
|
| 532 |
+
"loss": 0.3253,
|
| 533 |
"step": 800
|
| 534 |
},
|
| 535 |
{
|
| 536 |
+
"epoch": 5.4,
|
| 537 |
+
"learning_rate": 2.5555555555555554e-05,
|
| 538 |
+
"loss": 0.3135,
|
| 539 |
"step": 810
|
| 540 |
},
|
| 541 |
{
|
| 542 |
+
"epoch": 5.47,
|
| 543 |
+
"learning_rate": 2.5185185185185183e-05,
|
| 544 |
+
"loss": 0.3415,
|
| 545 |
"step": 820
|
| 546 |
},
|
| 547 |
{
|
| 548 |
+
"epoch": 5.53,
|
| 549 |
+
"learning_rate": 2.4814814814814816e-05,
|
| 550 |
+
"loss": 0.2925,
|
| 551 |
"step": 830
|
| 552 |
},
|
| 553 |
{
|
| 554 |
+
"epoch": 5.6,
|
| 555 |
+
"learning_rate": 2.4444444444444445e-05,
|
| 556 |
+
"loss": 0.3586,
|
| 557 |
"step": 840
|
| 558 |
},
|
| 559 |
{
|
| 560 |
+
"epoch": 5.66,
|
| 561 |
+
"learning_rate": 2.4074074074074074e-05,
|
| 562 |
+
"loss": 0.3392,
|
| 563 |
"step": 850
|
| 564 |
},
|
| 565 |
{
|
| 566 |
+
"epoch": 5.73,
|
| 567 |
+
"learning_rate": 2.3703703703703707e-05,
|
| 568 |
+
"loss": 0.3423,
|
| 569 |
"step": 860
|
| 570 |
},
|
| 571 |
{
|
| 572 |
+
"epoch": 5.8,
|
| 573 |
+
"learning_rate": 2.3333333333333336e-05,
|
| 574 |
+
"loss": 0.3371,
|
| 575 |
"step": 870
|
| 576 |
},
|
| 577 |
{
|
| 578 |
+
"epoch": 5.86,
|
| 579 |
+
"learning_rate": 2.2962962962962965e-05,
|
| 580 |
+
"loss": 0.3295,
|
| 581 |
"step": 880
|
| 582 |
},
|
| 583 |
{
|
| 584 |
+
"epoch": 5.93,
|
| 585 |
+
"learning_rate": 2.2592592592592594e-05,
|
| 586 |
+
"loss": 0.345,
|
| 587 |
"step": 890
|
| 588 |
},
|
| 589 |
{
|
| 590 |
+
"epoch": 6.0,
|
| 591 |
+
"learning_rate": 2.2222222222222223e-05,
|
| 592 |
+
"loss": 0.3393,
|
| 593 |
+
"step": 900
|
| 594 |
+
},
|
| 595 |
+
{
|
| 596 |
+
"epoch": 6.0,
|
| 597 |
+
"eval_accuracy": 0.8672897196261682,
|
| 598 |
+
"eval_loss": 0.3839728534221649,
|
| 599 |
+
"eval_runtime": 43.7964,
|
| 600 |
+
"eval_samples_per_second": 48.862,
|
| 601 |
+
"eval_steps_per_second": 1.53,
|
| 602 |
"step": 900
|
| 603 |
},
|
| 604 |
{
|
| 605 |
+
"epoch": 6.07,
|
| 606 |
+
"learning_rate": 2.1851851851851852e-05,
|
| 607 |
+
"loss": 0.3399,
|
| 608 |
"step": 910
|
| 609 |
},
|
| 610 |
{
|
| 611 |
+
"epoch": 6.13,
|
| 612 |
+
"learning_rate": 2.148148148148148e-05,
|
| 613 |
+
"loss": 0.3209,
|
| 614 |
"step": 920
|
| 615 |
},
|
| 616 |
{
|
| 617 |
+
"epoch": 6.2,
|
| 618 |
+
"learning_rate": 2.111111111111111e-05,
|
| 619 |
+
"loss": 0.3055,
|
| 620 |
"step": 930
|
| 621 |
},
|
| 622 |
{
|
| 623 |
+
"epoch": 6.27,
|
| 624 |
+
"learning_rate": 2.074074074074074e-05,
|
| 625 |
+
"loss": 0.2946,
|
| 626 |
"step": 940
|
| 627 |
},
|
| 628 |
{
|
| 629 |
+
"epoch": 6.33,
|
| 630 |
+
"learning_rate": 2.037037037037037e-05,
|
| 631 |
+
"loss": 0.3265,
|
| 632 |
"step": 950
|
| 633 |
},
|
| 634 |
{
|
| 635 |
+
"epoch": 6.4,
|
| 636 |
+
"learning_rate": 2e-05,
|
| 637 |
+
"loss": 0.3245,
|
| 638 |
"step": 960
|
| 639 |
},
|
| 640 |
{
|
| 641 |
+
"epoch": 6.47,
|
| 642 |
+
"learning_rate": 1.962962962962963e-05,
|
| 643 |
+
"loss": 0.2877,
|
| 644 |
"step": 970
|
| 645 |
},
|
| 646 |
{
|
| 647 |
+
"epoch": 6.53,
|
| 648 |
+
"learning_rate": 1.925925925925926e-05,
|
| 649 |
+
"loss": 0.3212,
|
| 650 |
"step": 980
|
| 651 |
},
|
| 652 |
{
|
| 653 |
+
"epoch": 6.6,
|
| 654 |
+
"learning_rate": 1.888888888888889e-05,
|
| 655 |
+
"loss": 0.2927,
|
| 656 |
"step": 990
|
| 657 |
},
|
| 658 |
{
|
| 659 |
+
"epoch": 6.66,
|
| 660 |
+
"learning_rate": 1.8518518518518518e-05,
|
| 661 |
+
"loss": 0.3031,
|
| 662 |
"step": 1000
|
| 663 |
},
|
| 664 |
{
|
| 665 |
+
"epoch": 6.73,
|
| 666 |
+
"learning_rate": 1.814814814814815e-05,
|
| 667 |
+
"loss": 0.2875,
|
| 668 |
"step": 1010
|
| 669 |
},
|
| 670 |
{
|
| 671 |
+
"epoch": 6.8,
|
| 672 |
+
"learning_rate": 1.777777777777778e-05,
|
| 673 |
+
"loss": 0.3567,
|
| 674 |
"step": 1020
|
| 675 |
},
|
| 676 |
{
|
| 677 |
+
"epoch": 6.86,
|
| 678 |
+
"learning_rate": 1.740740740740741e-05,
|
| 679 |
+
"loss": 0.3145,
|
| 680 |
"step": 1030
|
| 681 |
},
|
| 682 |
{
|
| 683 |
+
"epoch": 6.93,
|
| 684 |
+
"learning_rate": 1.7037037037037038e-05,
|
| 685 |
+
"loss": 0.3167,
|
| 686 |
"step": 1040
|
| 687 |
},
|
| 688 |
{
|
| 689 |
+
"epoch": 7.0,
|
| 690 |
+
"learning_rate": 1.6666666666666667e-05,
|
| 691 |
+
"loss": 0.3022,
|
| 692 |
"step": 1050
|
| 693 |
},
|
| 694 |
{
|
| 695 |
+
"epoch": 7.0,
|
| 696 |
+
"eval_accuracy": 0.8672897196261682,
|
| 697 |
+
"eval_loss": 0.37750476598739624,
|
| 698 |
+
"eval_runtime": 42.1228,
|
| 699 |
+
"eval_samples_per_second": 50.804,
|
| 700 |
+
"eval_steps_per_second": 1.591,
|
| 701 |
+
"step": 1050
|
| 702 |
},
|
| 703 |
{
|
| 704 |
+
"epoch": 7.07,
|
| 705 |
+
"learning_rate": 1.62962962962963e-05,
|
| 706 |
+
"loss": 0.286,
|
| 707 |
+
"step": 1060
|
| 708 |
},
|
| 709 |
{
|
| 710 |
+
"epoch": 7.13,
|
| 711 |
+
"learning_rate": 1.5925925925925926e-05,
|
| 712 |
+
"loss": 0.292,
|
|
|
|
|
|
|
|
|
|
| 713 |
"step": 1070
|
| 714 |
},
|
| 715 |
{
|
| 716 |
+
"epoch": 7.2,
|
| 717 |
+
"learning_rate": 1.5555555555555555e-05,
|
| 718 |
+
"loss": 0.2974,
|
| 719 |
"step": 1080
|
| 720 |
},
|
| 721 |
{
|
| 722 |
+
"epoch": 7.27,
|
| 723 |
+
"learning_rate": 1.5185185185185186e-05,
|
| 724 |
+
"loss": 0.3276,
|
| 725 |
"step": 1090
|
| 726 |
},
|
| 727 |
{
|
| 728 |
+
"epoch": 7.33,
|
| 729 |
+
"learning_rate": 1.4814814814814815e-05,
|
| 730 |
+
"loss": 0.3145,
|
| 731 |
"step": 1100
|
| 732 |
},
|
| 733 |
{
|
| 734 |
+
"epoch": 7.4,
|
| 735 |
+
"learning_rate": 1.4444444444444444e-05,
|
| 736 |
+
"loss": 0.2889,
|
| 737 |
"step": 1110
|
| 738 |
},
|
| 739 |
{
|
| 740 |
+
"epoch": 7.47,
|
| 741 |
+
"learning_rate": 1.4074074074074075e-05,
|
| 742 |
+
"loss": 0.2937,
|
| 743 |
"step": 1120
|
| 744 |
},
|
| 745 |
{
|
| 746 |
+
"epoch": 7.53,
|
| 747 |
+
"learning_rate": 1.3703703703703704e-05,
|
| 748 |
+
"loss": 0.2652,
|
| 749 |
"step": 1130
|
| 750 |
},
|
| 751 |
{
|
| 752 |
+
"epoch": 7.6,
|
| 753 |
+
"learning_rate": 1.3333333333333333e-05,
|
| 754 |
+
"loss": 0.2759,
|
| 755 |
"step": 1140
|
| 756 |
},
|
| 757 |
{
|
| 758 |
+
"epoch": 7.66,
|
| 759 |
+
"learning_rate": 1.2962962962962962e-05,
|
| 760 |
+
"loss": 0.3055,
|
| 761 |
"step": 1150
|
| 762 |
},
|
| 763 |
{
|
| 764 |
+
"epoch": 7.73,
|
| 765 |
+
"learning_rate": 1.2592592592592592e-05,
|
| 766 |
+
"loss": 0.3161,
|
| 767 |
"step": 1160
|
| 768 |
},
|
| 769 |
{
|
| 770 |
+
"epoch": 7.8,
|
| 771 |
+
"learning_rate": 1.2222222222222222e-05,
|
| 772 |
+
"loss": 0.3121,
|
| 773 |
"step": 1170
|
| 774 |
},
|
| 775 |
{
|
| 776 |
+
"epoch": 7.86,
|
| 777 |
+
"learning_rate": 1.1851851851851853e-05,
|
| 778 |
+
"loss": 0.2599,
|
| 779 |
"step": 1180
|
| 780 |
},
|
| 781 |
{
|
| 782 |
+
"epoch": 7.93,
|
| 783 |
+
"learning_rate": 1.1481481481481482e-05,
|
| 784 |
+
"loss": 0.2658,
|
| 785 |
"step": 1190
|
| 786 |
},
|
| 787 |
{
|
| 788 |
+
"epoch": 8.0,
|
| 789 |
+
"learning_rate": 1.1111111111111112e-05,
|
| 790 |
+
"loss": 0.2941,
|
| 791 |
+
"step": 1200
|
| 792 |
+
},
|
| 793 |
+
{
|
| 794 |
+
"epoch": 8.0,
|
| 795 |
+
"eval_accuracy": 0.8705607476635514,
|
| 796 |
+
"eval_loss": 0.3742366135120392,
|
| 797 |
+
"eval_runtime": 42.2299,
|
| 798 |
+
"eval_samples_per_second": 50.675,
|
| 799 |
+
"eval_steps_per_second": 1.587,
|
| 800 |
"step": 1200
|
| 801 |
},
|
| 802 |
{
|
| 803 |
+
"epoch": 8.07,
|
| 804 |
+
"learning_rate": 1.074074074074074e-05,
|
| 805 |
+
"loss": 0.2998,
|
| 806 |
"step": 1210
|
| 807 |
},
|
| 808 |
{
|
| 809 |
+
"epoch": 8.13,
|
| 810 |
+
"learning_rate": 1.037037037037037e-05,
|
| 811 |
+
"loss": 0.3095,
|
| 812 |
"step": 1220
|
| 813 |
},
|
| 814 |
{
|
| 815 |
+
"epoch": 8.2,
|
| 816 |
+
"learning_rate": 1e-05,
|
| 817 |
+
"loss": 0.2833,
|
| 818 |
"step": 1230
|
| 819 |
},
|
| 820 |
{
|
| 821 |
+
"epoch": 8.27,
|
| 822 |
+
"learning_rate": 9.62962962962963e-06,
|
| 823 |
+
"loss": 0.2792,
|
| 824 |
"step": 1240
|
| 825 |
},
|
| 826 |
{
|
| 827 |
+
"epoch": 8.33,
|
| 828 |
+
"learning_rate": 9.259259259259259e-06,
|
| 829 |
+
"loss": 0.2776,
|
| 830 |
"step": 1250
|
| 831 |
},
|
| 832 |
{
|
| 833 |
+
"epoch": 8.4,
|
| 834 |
+
"learning_rate": 8.88888888888889e-06,
|
| 835 |
+
"loss": 0.3238,
|
| 836 |
"step": 1260
|
| 837 |
},
|
| 838 |
{
|
| 839 |
+
"epoch": 8.47,
|
| 840 |
+
"learning_rate": 8.518518518518519e-06,
|
| 841 |
+
"loss": 0.2764,
|
| 842 |
"step": 1270
|
| 843 |
},
|
| 844 |
{
|
| 845 |
+
"epoch": 8.53,
|
| 846 |
+
"learning_rate": 8.14814814814815e-06,
|
| 847 |
+
"loss": 0.2875,
|
| 848 |
"step": 1280
|
| 849 |
},
|
| 850 |
{
|
| 851 |
+
"epoch": 8.6,
|
| 852 |
+
"learning_rate": 7.777777777777777e-06,
|
| 853 |
+
"loss": 0.2545,
|
| 854 |
"step": 1290
|
| 855 |
},
|
| 856 |
{
|
| 857 |
+
"epoch": 8.66,
|
| 858 |
+
"learning_rate": 7.4074074074074075e-06,
|
| 859 |
+
"loss": 0.2551,
|
| 860 |
"step": 1300
|
| 861 |
},
|
| 862 |
{
|
| 863 |
+
"epoch": 8.73,
|
| 864 |
+
"learning_rate": 7.0370370370370375e-06,
|
| 865 |
+
"loss": 0.2611,
|
| 866 |
"step": 1310
|
| 867 |
},
|
| 868 |
{
|
| 869 |
+
"epoch": 8.8,
|
| 870 |
+
"learning_rate": 6.666666666666667e-06,
|
| 871 |
+
"loss": 0.251,
|
| 872 |
"step": 1320
|
| 873 |
},
|
| 874 |
{
|
| 875 |
+
"epoch": 8.86,
|
| 876 |
+
"learning_rate": 6.296296296296296e-06,
|
| 877 |
+
"loss": 0.2864,
|
| 878 |
"step": 1330
|
| 879 |
},
|
| 880 |
{
|
| 881 |
+
"epoch": 8.93,
|
| 882 |
+
"learning_rate": 5.925925925925927e-06,
|
| 883 |
+
"loss": 0.2921,
|
| 884 |
"step": 1340
|
| 885 |
},
|
| 886 |
{
|
| 887 |
+
"epoch": 9.0,
|
| 888 |
+
"learning_rate": 5.555555555555556e-06,
|
| 889 |
+
"loss": 0.2903,
|
| 890 |
"step": 1350
|
| 891 |
},
|
| 892 |
{
|
| 893 |
+
"epoch": 9.0,
|
| 894 |
+
"eval_accuracy": 0.8696261682242991,
|
| 895 |
+
"eval_loss": 0.3808652460575104,
|
| 896 |
+
"eval_runtime": 42.311,
|
| 897 |
+
"eval_samples_per_second": 50.578,
|
| 898 |
+
"eval_steps_per_second": 1.584,
|
| 899 |
+
"step": 1350
|
| 900 |
+
},
|
| 901 |
+
{
|
| 902 |
+
"epoch": 9.07,
|
| 903 |
+
"learning_rate": 5.185185185185185e-06,
|
| 904 |
+
"loss": 0.3301,
|
| 905 |
"step": 1360
|
| 906 |
},
|
| 907 |
{
|
| 908 |
+
"epoch": 9.13,
|
| 909 |
+
"learning_rate": 4.814814814814815e-06,
|
| 910 |
+
"loss": 0.3025,
|
| 911 |
"step": 1370
|
| 912 |
},
|
| 913 |
{
|
| 914 |
+
"epoch": 9.2,
|
| 915 |
+
"learning_rate": 4.444444444444445e-06,
|
| 916 |
+
"loss": 0.2471,
|
| 917 |
"step": 1380
|
| 918 |
},
|
| 919 |
{
|
| 920 |
+
"epoch": 9.27,
|
| 921 |
+
"learning_rate": 4.074074074074075e-06,
|
| 922 |
+
"loss": 0.2805,
|
| 923 |
"step": 1390
|
| 924 |
},
|
| 925 |
{
|
| 926 |
+
"epoch": 9.33,
|
| 927 |
+
"learning_rate": 3.7037037037037037e-06,
|
| 928 |
+
"loss": 0.2679,
|
| 929 |
"step": 1400
|
| 930 |
},
|
| 931 |
{
|
| 932 |
+
"epoch": 9.4,
|
| 933 |
+
"learning_rate": 3.3333333333333333e-06,
|
| 934 |
+
"loss": 0.2784,
|
| 935 |
"step": 1410
|
| 936 |
},
|
| 937 |
{
|
| 938 |
+
"epoch": 9.47,
|
| 939 |
+
"learning_rate": 2.9629629629629633e-06,
|
| 940 |
+
"loss": 0.2785,
|
| 941 |
"step": 1420
|
| 942 |
},
|
| 943 |
{
|
| 944 |
+
"epoch": 9.53,
|
| 945 |
+
"learning_rate": 2.5925925925925925e-06,
|
| 946 |
+
"loss": 0.2662,
|
| 947 |
"step": 1430
|
| 948 |
},
|
| 949 |
{
|
| 950 |
+
"epoch": 9.6,
|
| 951 |
+
"learning_rate": 2.2222222222222225e-06,
|
| 952 |
+
"loss": 0.2679,
|
| 953 |
"step": 1440
|
| 954 |
},
|
| 955 |
{
|
| 956 |
+
"epoch": 9.66,
|
| 957 |
+
"learning_rate": 1.8518518518518519e-06,
|
| 958 |
+
"loss": 0.2702,
|
| 959 |
"step": 1450
|
| 960 |
},
|
| 961 |
{
|
| 962 |
+
"epoch": 9.73,
|
| 963 |
+
"learning_rate": 1.4814814814814817e-06,
|
| 964 |
+
"loss": 0.2737,
|
| 965 |
"step": 1460
|
| 966 |
},
|
| 967 |
{
|
| 968 |
+
"epoch": 9.8,
|
| 969 |
+
"learning_rate": 1.1111111111111112e-06,
|
| 970 |
+
"loss": 0.2747,
|
| 971 |
"step": 1470
|
| 972 |
},
|
| 973 |
{
|
| 974 |
+
"epoch": 9.86,
|
| 975 |
+
"learning_rate": 7.407407407407408e-07,
|
| 976 |
+
"loss": 0.2418,
|
| 977 |
"step": 1480
|
| 978 |
},
|
| 979 |
{
|
| 980 |
+
"epoch": 9.93,
|
| 981 |
+
"learning_rate": 3.703703703703704e-07,
|
| 982 |
+
"loss": 0.2568,
|
| 983 |
"step": 1490
|
| 984 |
},
|
| 985 |
{
|
| 986 |
+
"epoch": 10.0,
|
| 987 |
+
"learning_rate": 0.0,
|
| 988 |
+
"loss": 0.2584,
|
| 989 |
"step": 1500
|
| 990 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 991 |
{
|
| 992 |
"epoch": 10.0,
|
| 993 |
+
"eval_accuracy": 0.8696261682242991,
|
| 994 |
+
"eval_loss": 0.37556955218315125,
|
| 995 |
+
"eval_runtime": 42.3603,
|
| 996 |
+
"eval_samples_per_second": 50.519,
|
| 997 |
+
"eval_steps_per_second": 1.582,
|
| 998 |
+
"step": 1500
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 999 |
},
|
| 1000 |
{
|
| 1001 |
"epoch": 10.0,
|
| 1002 |
+
"step": 1500,
|
| 1003 |
+
"total_flos": 1.4918616518411741e+19,
|
| 1004 |
+
"train_loss": 0.4060697093009949,
|
| 1005 |
+
"train_runtime": 6764.8563,
|
| 1006 |
+
"train_samples_per_second": 28.466,
|
| 1007 |
+
"train_steps_per_second": 0.222
|
| 1008 |
}
|
| 1009 |
],
|
| 1010 |
+
"max_steps": 1500,
|
| 1011 |
"num_train_epochs": 10,
|
| 1012 |
+
"total_flos": 1.4918616518411741e+19,
|
| 1013 |
"trial_name": null,
|
| 1014 |
"trial_params": null
|
| 1015 |
}
|