End of training
Browse files- all_results.json +11 -11
- eval_results.json +6 -6
- runs/Apr17_12-51-18_5910a653ef0c/events.out.tfevents.1681737349.5910a653ef0c.229.10 +3 -0
- train_results.json +6 -6
- trainer_state.json +782 -215
all_results.json
CHANGED
|
@@ -1,13 +1,13 @@
|
|
| 1 |
{
|
| 2 |
-
"epoch":
|
| 3 |
-
"eval_accuracy": 0.
|
| 4 |
-
"eval_loss": 0.
|
| 5 |
-
"eval_runtime": 8.
|
| 6 |
-
"eval_samples_per_second":
|
| 7 |
-
"eval_steps_per_second":
|
| 8 |
-
"total_flos":
|
| 9 |
-
"train_loss": 0.
|
| 10 |
-
"train_runtime":
|
| 11 |
-
"train_samples_per_second":
|
| 12 |
-
"train_steps_per_second": 1.
|
| 13 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"epoch": 9.97,
|
| 3 |
+
"eval_accuracy": 0.9726247987117552,
|
| 4 |
+
"eval_loss": 0.08394750207662582,
|
| 5 |
+
"eval_runtime": 8.4058,
|
| 6 |
+
"eval_samples_per_second": 73.878,
|
| 7 |
+
"eval_steps_per_second": 9.279,
|
| 8 |
+
"total_flos": 1.3833876610752307e+18,
|
| 9 |
+
"train_loss": 0.24886192696532983,
|
| 10 |
+
"train_runtime": 1438.0658,
|
| 11 |
+
"train_samples_per_second": 38.809,
|
| 12 |
+
"train_steps_per_second": 1.21
|
| 13 |
}
|
eval_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
-
"epoch":
|
| 3 |
-
"eval_accuracy": 0.
|
| 4 |
-
"eval_loss": 0.
|
| 5 |
-
"eval_runtime": 8.
|
| 6 |
-
"eval_samples_per_second":
|
| 7 |
-
"eval_steps_per_second":
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"epoch": 9.97,
|
| 3 |
+
"eval_accuracy": 0.9726247987117552,
|
| 4 |
+
"eval_loss": 0.08394750207662582,
|
| 5 |
+
"eval_runtime": 8.4058,
|
| 6 |
+
"eval_samples_per_second": 73.878,
|
| 7 |
+
"eval_steps_per_second": 9.279
|
| 8 |
}
|
runs/Apr17_12-51-18_5910a653ef0c/events.out.tfevents.1681737349.5910a653ef0c.229.10
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5f2d2e04027a81787cd460c45f4a5670b80215e417fa8f3114638ba29475e32a
|
| 3 |
+
size 411
|
train_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
-
"epoch":
|
| 3 |
-
"total_flos":
|
| 4 |
-
"train_loss": 0.
|
| 5 |
-
"train_runtime":
|
| 6 |
-
"train_samples_per_second":
|
| 7 |
-
"train_steps_per_second": 1.
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"epoch": 9.97,
|
| 3 |
+
"total_flos": 1.3833876610752307e+18,
|
| 4 |
+
"train_loss": 0.24886192696532983,
|
| 5 |
+
"train_runtime": 1438.0658,
|
| 6 |
+
"train_samples_per_second": 38.809,
|
| 7 |
+
"train_steps_per_second": 1.21
|
| 8 |
}
|
trainer_state.json
CHANGED
|
@@ -1,592 +1,1159 @@
|
|
| 1 |
{
|
| 2 |
-
"best_metric": 0.
|
| 3 |
-
"best_model_checkpoint": "swin-tiny-patch4-window7-224-bottom_cleaned_data/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": 0.06,
|
| 12 |
-
"learning_rate":
|
| 13 |
-
"loss": 1.
|
| 14 |
"step": 10
|
| 15 |
},
|
| 16 |
{
|
| 17 |
"epoch": 0.11,
|
| 18 |
-
"learning_rate":
|
| 19 |
-
"loss": 1.
|
| 20 |
"step": 20
|
| 21 |
},
|
| 22 |
{
|
| 23 |
"epoch": 0.17,
|
| 24 |
-
"learning_rate":
|
| 25 |
-
"loss":
|
| 26 |
"step": 30
|
| 27 |
},
|
| 28 |
{
|
| 29 |
"epoch": 0.23,
|
| 30 |
-
"learning_rate": 4.
|
| 31 |
-
"loss":
|
| 32 |
"step": 40
|
| 33 |
},
|
| 34 |
{
|
| 35 |
"epoch": 0.29,
|
| 36 |
-
"learning_rate":
|
| 37 |
-
"loss":
|
| 38 |
"step": 50
|
| 39 |
},
|
| 40 |
{
|
| 41 |
"epoch": 0.34,
|
| 42 |
-
"learning_rate":
|
| 43 |
-
"loss":
|
| 44 |
"step": 60
|
| 45 |
},
|
| 46 |
{
|
| 47 |
"epoch": 0.4,
|
| 48 |
-
"learning_rate":
|
| 49 |
-
"loss":
|
| 50 |
"step": 70
|
| 51 |
},
|
| 52 |
{
|
| 53 |
"epoch": 0.46,
|
| 54 |
-
"learning_rate":
|
| 55 |
-
"loss":
|
| 56 |
"step": 80
|
| 57 |
},
|
| 58 |
{
|
| 59 |
"epoch": 0.52,
|
| 60 |
-
"learning_rate":
|
| 61 |
-
"loss":
|
| 62 |
"step": 90
|
| 63 |
},
|
| 64 |
{
|
| 65 |
"epoch": 0.57,
|
| 66 |
-
"learning_rate":
|
| 67 |
-
"loss":
|
| 68 |
"step": 100
|
| 69 |
},
|
| 70 |
{
|
| 71 |
"epoch": 0.63,
|
| 72 |
-
"learning_rate":
|
| 73 |
-
"loss": 0.
|
| 74 |
"step": 110
|
| 75 |
},
|
| 76 |
{
|
| 77 |
"epoch": 0.69,
|
| 78 |
-
"learning_rate":
|
| 79 |
-
"loss": 0.
|
| 80 |
"step": 120
|
| 81 |
},
|
| 82 |
{
|
| 83 |
"epoch": 0.74,
|
| 84 |
-
"learning_rate":
|
| 85 |
-
"loss": 0.
|
| 86 |
"step": 130
|
| 87 |
},
|
| 88 |
{
|
| 89 |
"epoch": 0.8,
|
| 90 |
-
"learning_rate":
|
| 91 |
-
"loss": 0.
|
| 92 |
"step": 140
|
| 93 |
},
|
| 94 |
{
|
| 95 |
"epoch": 0.86,
|
| 96 |
-
"learning_rate":
|
| 97 |
-
"loss": 0.
|
| 98 |
"step": 150
|
| 99 |
},
|
| 100 |
{
|
| 101 |
"epoch": 0.92,
|
| 102 |
-
"learning_rate":
|
| 103 |
-
"loss": 0.
|
| 104 |
"step": 160
|
| 105 |
},
|
| 106 |
{
|
| 107 |
"epoch": 0.97,
|
| 108 |
-
"learning_rate":
|
| 109 |
-
"loss": 0.
|
| 110 |
"step": 170
|
| 111 |
},
|
| 112 |
{
|
| 113 |
"epoch": 1.0,
|
| 114 |
-
"eval_accuracy": 0.
|
| 115 |
-
"eval_loss": 0.
|
| 116 |
-
"eval_runtime":
|
| 117 |
-
"eval_samples_per_second":
|
| 118 |
-
"eval_steps_per_second":
|
| 119 |
"step": 174
|
| 120 |
},
|
| 121 |
{
|
| 122 |
"epoch": 1.03,
|
| 123 |
-
"learning_rate":
|
| 124 |
-
"loss": 0.
|
| 125 |
"step": 180
|
| 126 |
},
|
| 127 |
{
|
| 128 |
"epoch": 1.09,
|
| 129 |
-
"learning_rate":
|
| 130 |
-
"loss": 0.
|
| 131 |
"step": 190
|
| 132 |
},
|
| 133 |
{
|
| 134 |
"epoch": 1.15,
|
| 135 |
-
"learning_rate":
|
| 136 |
-
"loss": 0.
|
| 137 |
"step": 200
|
| 138 |
},
|
| 139 |
{
|
| 140 |
"epoch": 1.2,
|
| 141 |
-
"learning_rate":
|
| 142 |
-
"loss": 0.
|
| 143 |
"step": 210
|
| 144 |
},
|
| 145 |
{
|
| 146 |
"epoch": 1.26,
|
| 147 |
-
"learning_rate":
|
| 148 |
-
"loss": 0.
|
| 149 |
"step": 220
|
| 150 |
},
|
| 151 |
{
|
| 152 |
"epoch": 1.32,
|
| 153 |
-
"learning_rate":
|
| 154 |
-
"loss": 0.
|
| 155 |
"step": 230
|
| 156 |
},
|
| 157 |
{
|
| 158 |
"epoch": 1.38,
|
| 159 |
-
"learning_rate":
|
| 160 |
-
"loss": 0.
|
| 161 |
"step": 240
|
| 162 |
},
|
| 163 |
{
|
| 164 |
"epoch": 1.43,
|
| 165 |
-
"learning_rate":
|
| 166 |
-
"loss": 0.
|
| 167 |
"step": 250
|
| 168 |
},
|
| 169 |
{
|
| 170 |
"epoch": 1.49,
|
| 171 |
-
"learning_rate":
|
| 172 |
-
"loss": 0.
|
| 173 |
"step": 260
|
| 174 |
},
|
| 175 |
{
|
| 176 |
"epoch": 1.55,
|
| 177 |
-
"learning_rate":
|
| 178 |
-
"loss": 0.
|
| 179 |
"step": 270
|
| 180 |
},
|
| 181 |
{
|
| 182 |
"epoch": 1.6,
|
| 183 |
-
"learning_rate":
|
| 184 |
-
"loss": 0.
|
| 185 |
"step": 280
|
| 186 |
},
|
| 187 |
{
|
| 188 |
"epoch": 1.66,
|
| 189 |
-
"learning_rate":
|
| 190 |
-
"loss": 0.
|
| 191 |
"step": 290
|
| 192 |
},
|
| 193 |
{
|
| 194 |
"epoch": 1.72,
|
| 195 |
-
"learning_rate":
|
| 196 |
-
"loss": 0.
|
| 197 |
"step": 300
|
| 198 |
},
|
| 199 |
{
|
| 200 |
"epoch": 1.78,
|
| 201 |
-
"learning_rate":
|
| 202 |
-
"loss": 0.
|
| 203 |
"step": 310
|
| 204 |
},
|
| 205 |
{
|
| 206 |
"epoch": 1.83,
|
| 207 |
-
"learning_rate":
|
| 208 |
-
"loss": 0.
|
| 209 |
"step": 320
|
| 210 |
},
|
| 211 |
{
|
| 212 |
"epoch": 1.89,
|
| 213 |
-
"learning_rate":
|
| 214 |
-
"loss": 0.
|
| 215 |
"step": 330
|
| 216 |
},
|
| 217 |
{
|
| 218 |
"epoch": 1.95,
|
| 219 |
-
"learning_rate":
|
| 220 |
-
"loss": 0.
|
| 221 |
"step": 340
|
| 222 |
},
|
| 223 |
{
|
| 224 |
"epoch": 2.0,
|
| 225 |
-
"eval_accuracy": 0.
|
| 226 |
-
"eval_loss": 0.
|
| 227 |
-
"eval_runtime": 9.
|
| 228 |
-
"eval_samples_per_second":
|
| 229 |
-
"eval_steps_per_second": 8.
|
| 230 |
"step": 349
|
| 231 |
},
|
| 232 |
{
|
| 233 |
"epoch": 2.01,
|
| 234 |
-
"learning_rate":
|
| 235 |
-
"loss": 0.
|
| 236 |
"step": 350
|
| 237 |
},
|
| 238 |
{
|
| 239 |
"epoch": 2.06,
|
| 240 |
-
"learning_rate":
|
| 241 |
-
"loss": 0.
|
| 242 |
"step": 360
|
| 243 |
},
|
| 244 |
{
|
| 245 |
"epoch": 2.12,
|
| 246 |
-
"learning_rate":
|
| 247 |
-
"loss": 0.
|
| 248 |
"step": 370
|
| 249 |
},
|
| 250 |
{
|
| 251 |
"epoch": 2.18,
|
| 252 |
-
"learning_rate":
|
| 253 |
-
"loss": 0.
|
| 254 |
"step": 380
|
| 255 |
},
|
| 256 |
{
|
| 257 |
"epoch": 2.23,
|
| 258 |
-
"learning_rate":
|
| 259 |
-
"loss": 0.
|
| 260 |
"step": 390
|
| 261 |
},
|
| 262 |
{
|
| 263 |
"epoch": 2.29,
|
| 264 |
-
"learning_rate":
|
| 265 |
-
"loss": 0.
|
| 266 |
"step": 400
|
| 267 |
},
|
| 268 |
{
|
| 269 |
"epoch": 2.35,
|
| 270 |
-
"learning_rate":
|
| 271 |
-
"loss": 0.
|
| 272 |
"step": 410
|
| 273 |
},
|
| 274 |
{
|
| 275 |
"epoch": 2.41,
|
| 276 |
-
"learning_rate":
|
| 277 |
-
"loss": 0.
|
| 278 |
"step": 420
|
| 279 |
},
|
| 280 |
{
|
| 281 |
"epoch": 2.46,
|
| 282 |
-
"learning_rate":
|
| 283 |
-
"loss": 0.
|
| 284 |
"step": 430
|
| 285 |
},
|
| 286 |
{
|
| 287 |
"epoch": 2.52,
|
| 288 |
-
"learning_rate":
|
| 289 |
-
"loss": 0.
|
| 290 |
"step": 440
|
| 291 |
},
|
| 292 |
{
|
| 293 |
"epoch": 2.58,
|
| 294 |
-
"learning_rate":
|
| 295 |
-
"loss": 0.
|
| 296 |
"step": 450
|
| 297 |
},
|
| 298 |
{
|
| 299 |
"epoch": 2.64,
|
| 300 |
-
"learning_rate":
|
| 301 |
-
"loss": 0.
|
| 302 |
"step": 460
|
| 303 |
},
|
| 304 |
{
|
| 305 |
"epoch": 2.69,
|
| 306 |
-
"learning_rate":
|
| 307 |
-
"loss": 0.
|
| 308 |
"step": 470
|
| 309 |
},
|
| 310 |
{
|
| 311 |
"epoch": 2.75,
|
| 312 |
-
"learning_rate":
|
| 313 |
-
"loss": 0.
|
| 314 |
"step": 480
|
| 315 |
},
|
| 316 |
{
|
| 317 |
"epoch": 2.81,
|
| 318 |
-
"learning_rate":
|
| 319 |
-
"loss": 0.
|
| 320 |
"step": 490
|
| 321 |
},
|
| 322 |
{
|
| 323 |
"epoch": 2.87,
|
| 324 |
-
"learning_rate":
|
| 325 |
-
"loss": 0.
|
| 326 |
"step": 500
|
| 327 |
},
|
| 328 |
{
|
| 329 |
"epoch": 2.92,
|
| 330 |
-
"learning_rate":
|
| 331 |
-
"loss": 0.
|
| 332 |
"step": 510
|
| 333 |
},
|
| 334 |
{
|
| 335 |
"epoch": 2.98,
|
| 336 |
-
"learning_rate":
|
| 337 |
-
"loss": 0.
|
| 338 |
"step": 520
|
| 339 |
},
|
| 340 |
{
|
| 341 |
"epoch": 3.0,
|
| 342 |
-
"eval_accuracy": 0.
|
| 343 |
-
"eval_loss": 0.
|
| 344 |
-
"eval_runtime":
|
| 345 |
-
"eval_samples_per_second":
|
| 346 |
-
"eval_steps_per_second": 8.
|
| 347 |
"step": 523
|
| 348 |
},
|
| 349 |
{
|
| 350 |
"epoch": 3.04,
|
| 351 |
-
"learning_rate":
|
| 352 |
-
"loss": 0.
|
| 353 |
"step": 530
|
| 354 |
},
|
| 355 |
{
|
| 356 |
"epoch": 3.09,
|
| 357 |
-
"learning_rate":
|
| 358 |
-
"loss": 0.
|
| 359 |
"step": 540
|
| 360 |
},
|
| 361 |
{
|
| 362 |
"epoch": 3.15,
|
| 363 |
-
"learning_rate":
|
| 364 |
-
"loss": 0.
|
| 365 |
"step": 550
|
| 366 |
},
|
| 367 |
{
|
| 368 |
"epoch": 3.21,
|
| 369 |
-
"learning_rate": 3.
|
| 370 |
-
"loss": 0.
|
| 371 |
"step": 560
|
| 372 |
},
|
| 373 |
{
|
| 374 |
"epoch": 3.27,
|
| 375 |
-
"learning_rate": 3.
|
| 376 |
-
"loss": 0.
|
| 377 |
"step": 570
|
| 378 |
},
|
| 379 |
{
|
| 380 |
"epoch": 3.32,
|
| 381 |
-
"learning_rate": 3.
|
| 382 |
-
"loss": 0.
|
| 383 |
"step": 580
|
| 384 |
},
|
| 385 |
{
|
| 386 |
"epoch": 3.38,
|
| 387 |
-
"learning_rate": 3.
|
| 388 |
-
"loss": 0.
|
| 389 |
"step": 590
|
| 390 |
},
|
| 391 |
{
|
| 392 |
"epoch": 3.44,
|
| 393 |
-
"learning_rate": 3.
|
| 394 |
-
"loss": 0.
|
| 395 |
"step": 600
|
| 396 |
},
|
| 397 |
{
|
| 398 |
"epoch": 3.5,
|
| 399 |
-
"learning_rate": 3.
|
| 400 |
-
"loss": 0.
|
| 401 |
"step": 610
|
| 402 |
},
|
| 403 |
{
|
| 404 |
"epoch": 3.55,
|
| 405 |
-
"learning_rate": 3.
|
| 406 |
-
"loss": 0.
|
| 407 |
"step": 620
|
| 408 |
},
|
| 409 |
{
|
| 410 |
"epoch": 3.61,
|
| 411 |
-
"learning_rate": 3.
|
| 412 |
-
"loss": 0.
|
| 413 |
"step": 630
|
| 414 |
},
|
| 415 |
{
|
| 416 |
"epoch": 3.67,
|
| 417 |
-
"learning_rate":
|
| 418 |
-
"loss": 0.
|
| 419 |
"step": 640
|
| 420 |
},
|
| 421 |
{
|
| 422 |
"epoch": 3.72,
|
| 423 |
-
"learning_rate":
|
| 424 |
-
"loss": 0.
|
| 425 |
"step": 650
|
| 426 |
},
|
| 427 |
{
|
| 428 |
"epoch": 3.78,
|
| 429 |
-
"learning_rate":
|
| 430 |
-
"loss": 0.
|
| 431 |
"step": 660
|
| 432 |
},
|
| 433 |
{
|
| 434 |
"epoch": 3.84,
|
| 435 |
-
"learning_rate":
|
| 436 |
-
"loss": 0.
|
| 437 |
"step": 670
|
| 438 |
},
|
| 439 |
{
|
| 440 |
"epoch": 3.9,
|
| 441 |
-
"learning_rate":
|
| 442 |
-
"loss": 0.
|
| 443 |
"step": 680
|
| 444 |
},
|
| 445 |
{
|
| 446 |
"epoch": 3.95,
|
| 447 |
-
"learning_rate":
|
| 448 |
-
"loss": 0.
|
| 449 |
"step": 690
|
| 450 |
},
|
| 451 |
{
|
| 452 |
"epoch": 4.0,
|
| 453 |
-
"eval_accuracy": 0.
|
| 454 |
-
"eval_loss": 0.
|
| 455 |
-
"eval_runtime":
|
| 456 |
-
"eval_samples_per_second":
|
| 457 |
-
"eval_steps_per_second":
|
| 458 |
"step": 698
|
| 459 |
},
|
| 460 |
{
|
| 461 |
"epoch": 4.01,
|
| 462 |
-
"learning_rate":
|
| 463 |
-
"loss": 0.
|
| 464 |
"step": 700
|
| 465 |
},
|
| 466 |
{
|
| 467 |
"epoch": 4.07,
|
| 468 |
-
"learning_rate": 2.
|
| 469 |
-
"loss": 0.
|
| 470 |
"step": 710
|
| 471 |
},
|
| 472 |
{
|
| 473 |
"epoch": 4.13,
|
| 474 |
-
"learning_rate":
|
| 475 |
-
"loss": 0.
|
| 476 |
"step": 720
|
| 477 |
},
|
| 478 |
{
|
| 479 |
"epoch": 4.18,
|
| 480 |
-
"learning_rate":
|
| 481 |
-
"loss": 0.
|
| 482 |
"step": 730
|
| 483 |
},
|
| 484 |
{
|
| 485 |
"epoch": 4.24,
|
| 486 |
-
"learning_rate":
|
| 487 |
-
"loss": 0.
|
| 488 |
"step": 740
|
| 489 |
},
|
| 490 |
{
|
| 491 |
"epoch": 4.3,
|
| 492 |
-
"learning_rate":
|
| 493 |
-
"loss": 0.
|
| 494 |
"step": 750
|
| 495 |
},
|
| 496 |
{
|
| 497 |
"epoch": 4.36,
|
| 498 |
-
"learning_rate":
|
| 499 |
-
"loss": 0.
|
| 500 |
"step": 760
|
| 501 |
},
|
| 502 |
{
|
| 503 |
"epoch": 4.41,
|
| 504 |
-
"learning_rate":
|
| 505 |
-
"loss": 0.
|
| 506 |
"step": 770
|
| 507 |
},
|
| 508 |
{
|
| 509 |
"epoch": 4.47,
|
| 510 |
-
"learning_rate":
|
| 511 |
-
"loss": 0.
|
| 512 |
"step": 780
|
| 513 |
},
|
| 514 |
{
|
| 515 |
"epoch": 4.53,
|
| 516 |
-
"learning_rate":
|
| 517 |
-
"loss": 0.
|
| 518 |
"step": 790
|
| 519 |
},
|
| 520 |
{
|
| 521 |
"epoch": 4.58,
|
| 522 |
-
"learning_rate":
|
| 523 |
-
"loss": 0.
|
| 524 |
"step": 800
|
| 525 |
},
|
| 526 |
{
|
| 527 |
"epoch": 4.64,
|
| 528 |
-
"learning_rate":
|
| 529 |
-
"loss": 0.
|
| 530 |
"step": 810
|
| 531 |
},
|
| 532 |
{
|
| 533 |
"epoch": 4.7,
|
| 534 |
-
"learning_rate":
|
| 535 |
-
"loss": 0.
|
| 536 |
"step": 820
|
| 537 |
},
|
| 538 |
{
|
| 539 |
"epoch": 4.76,
|
| 540 |
-
"learning_rate":
|
| 541 |
-
"loss": 0.
|
| 542 |
"step": 830
|
| 543 |
},
|
| 544 |
{
|
| 545 |
"epoch": 4.81,
|
| 546 |
-
"learning_rate":
|
| 547 |
-
"loss": 0.
|
| 548 |
"step": 840
|
| 549 |
},
|
| 550 |
{
|
| 551 |
"epoch": 4.87,
|
| 552 |
-
"learning_rate": 2.
|
| 553 |
-
"loss": 0.
|
| 554 |
"step": 850
|
| 555 |
},
|
| 556 |
{
|
| 557 |
"epoch": 4.93,
|
| 558 |
-
"learning_rate":
|
| 559 |
-
"loss": 0.
|
| 560 |
"step": 860
|
| 561 |
},
|
| 562 |
{
|
| 563 |
"epoch": 4.99,
|
| 564 |
-
"learning_rate":
|
| 565 |
-
"loss": 0.
|
| 566 |
"step": 870
|
| 567 |
},
|
| 568 |
{
|
| 569 |
-
"epoch":
|
| 570 |
-
"eval_accuracy": 0.
|
| 571 |
-
"eval_loss": 0.
|
| 572 |
-
"eval_runtime": 9.
|
| 573 |
-
"eval_samples_per_second": 64.
|
| 574 |
-
"eval_steps_per_second": 8.
|
| 575 |
-
"step":
|
| 576 |
},
|
| 577 |
{
|
| 578 |
-
"epoch":
|
| 579 |
-
"
|
| 580 |
-
"
|
| 581 |
-
"
|
| 582 |
-
|
| 583 |
-
|
| 584 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 585 |
}
|
| 586 |
],
|
| 587 |
-
"max_steps":
|
| 588 |
-
"num_train_epochs":
|
| 589 |
-
"total_flos":
|
| 590 |
"trial_name": null,
|
| 591 |
"trial_params": null
|
| 592 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_metric": 0.9726247987117552,
|
| 3 |
+
"best_model_checkpoint": "swin-tiny-patch4-window7-224-bottom_cleaned_data/checkpoint-1047",
|
| 4 |
+
"epoch": 9.97134670487106,
|
| 5 |
+
"global_step": 1740,
|
| 6 |
"is_hyper_param_search": false,
|
| 7 |
"is_local_process_zero": true,
|
| 8 |
"is_world_process_zero": true,
|
| 9 |
"log_history": [
|
| 10 |
{
|
| 11 |
"epoch": 0.06,
|
| 12 |
+
"learning_rate": 2.777777777777778e-05,
|
| 13 |
+
"loss": 1.3661,
|
| 14 |
"step": 10
|
| 15 |
},
|
| 16 |
{
|
| 17 |
"epoch": 0.11,
|
| 18 |
+
"learning_rate": 4.994192799070848e-05,
|
| 19 |
+
"loss": 1.1811,
|
| 20 |
"step": 20
|
| 21 |
},
|
| 22 |
{
|
| 23 |
"epoch": 0.17,
|
| 24 |
+
"learning_rate": 4.965156794425087e-05,
|
| 25 |
+
"loss": 0.9235,
|
| 26 |
"step": 30
|
| 27 |
},
|
| 28 |
{
|
| 29 |
"epoch": 0.23,
|
| 30 |
+
"learning_rate": 4.9361207897793264e-05,
|
| 31 |
+
"loss": 0.84,
|
| 32 |
"step": 40
|
| 33 |
},
|
| 34 |
{
|
| 35 |
"epoch": 0.29,
|
| 36 |
+
"learning_rate": 4.907084785133566e-05,
|
| 37 |
+
"loss": 0.6387,
|
| 38 |
"step": 50
|
| 39 |
},
|
| 40 |
{
|
| 41 |
"epoch": 0.34,
|
| 42 |
+
"learning_rate": 4.878048780487805e-05,
|
| 43 |
+
"loss": 0.7581,
|
| 44 |
"step": 60
|
| 45 |
},
|
| 46 |
{
|
| 47 |
"epoch": 0.4,
|
| 48 |
+
"learning_rate": 4.8490127758420445e-05,
|
| 49 |
+
"loss": 0.6915,
|
| 50 |
"step": 70
|
| 51 |
},
|
| 52 |
{
|
| 53 |
"epoch": 0.46,
|
| 54 |
+
"learning_rate": 4.819976771196283e-05,
|
| 55 |
+
"loss": 0.6255,
|
| 56 |
"step": 80
|
| 57 |
},
|
| 58 |
{
|
| 59 |
"epoch": 0.52,
|
| 60 |
+
"learning_rate": 4.7909407665505226e-05,
|
| 61 |
+
"loss": 0.527,
|
| 62 |
"step": 90
|
| 63 |
},
|
| 64 |
{
|
| 65 |
"epoch": 0.57,
|
| 66 |
+
"learning_rate": 4.761904761904762e-05,
|
| 67 |
+
"loss": 0.5023,
|
| 68 |
"step": 100
|
| 69 |
},
|
| 70 |
{
|
| 71 |
"epoch": 0.63,
|
| 72 |
+
"learning_rate": 4.7328687572590014e-05,
|
| 73 |
+
"loss": 0.5157,
|
| 74 |
"step": 110
|
| 75 |
},
|
| 76 |
{
|
| 77 |
"epoch": 0.69,
|
| 78 |
+
"learning_rate": 4.703832752613241e-05,
|
| 79 |
+
"loss": 0.4598,
|
| 80 |
"step": 120
|
| 81 |
},
|
| 82 |
{
|
| 83 |
"epoch": 0.74,
|
| 84 |
+
"learning_rate": 4.6747967479674795e-05,
|
| 85 |
+
"loss": 0.4344,
|
| 86 |
"step": 130
|
| 87 |
},
|
| 88 |
{
|
| 89 |
"epoch": 0.8,
|
| 90 |
+
"learning_rate": 4.6457607433217196e-05,
|
| 91 |
+
"loss": 0.4745,
|
| 92 |
"step": 140
|
| 93 |
},
|
| 94 |
{
|
| 95 |
"epoch": 0.86,
|
| 96 |
+
"learning_rate": 4.616724738675958e-05,
|
| 97 |
+
"loss": 0.4485,
|
| 98 |
"step": 150
|
| 99 |
},
|
| 100 |
{
|
| 101 |
"epoch": 0.92,
|
| 102 |
+
"learning_rate": 4.587688734030198e-05,
|
| 103 |
+
"loss": 0.3849,
|
| 104 |
"step": 160
|
| 105 |
},
|
| 106 |
{
|
| 107 |
"epoch": 0.97,
|
| 108 |
+
"learning_rate": 4.5586527293844364e-05,
|
| 109 |
+
"loss": 0.4444,
|
| 110 |
"step": 170
|
| 111 |
},
|
| 112 |
{
|
| 113 |
"epoch": 1.0,
|
| 114 |
+
"eval_accuracy": 0.9162640901771336,
|
| 115 |
+
"eval_loss": 0.2271285504102707,
|
| 116 |
+
"eval_runtime": 8.1654,
|
| 117 |
+
"eval_samples_per_second": 76.052,
|
| 118 |
+
"eval_steps_per_second": 9.552,
|
| 119 |
"step": 174
|
| 120 |
},
|
| 121 |
{
|
| 122 |
"epoch": 1.03,
|
| 123 |
+
"learning_rate": 4.529616724738676e-05,
|
| 124 |
+
"loss": 0.4314,
|
| 125 |
"step": 180
|
| 126 |
},
|
| 127 |
{
|
| 128 |
"epoch": 1.09,
|
| 129 |
+
"learning_rate": 4.500580720092916e-05,
|
| 130 |
+
"loss": 0.325,
|
| 131 |
"step": 190
|
| 132 |
},
|
| 133 |
{
|
| 134 |
"epoch": 1.15,
|
| 135 |
+
"learning_rate": 4.4715447154471546e-05,
|
| 136 |
+
"loss": 0.3656,
|
| 137 |
"step": 200
|
| 138 |
},
|
| 139 |
{
|
| 140 |
"epoch": 1.2,
|
| 141 |
+
"learning_rate": 4.442508710801394e-05,
|
| 142 |
+
"loss": 0.3626,
|
| 143 |
"step": 210
|
| 144 |
},
|
| 145 |
{
|
| 146 |
"epoch": 1.26,
|
| 147 |
+
"learning_rate": 4.413472706155633e-05,
|
| 148 |
+
"loss": 0.3937,
|
| 149 |
"step": 220
|
| 150 |
},
|
| 151 |
{
|
| 152 |
"epoch": 1.32,
|
| 153 |
+
"learning_rate": 4.384436701509873e-05,
|
| 154 |
+
"loss": 0.3097,
|
| 155 |
"step": 230
|
| 156 |
},
|
| 157 |
{
|
| 158 |
"epoch": 1.38,
|
| 159 |
+
"learning_rate": 4.3554006968641115e-05,
|
| 160 |
+
"loss": 0.3426,
|
| 161 |
"step": 240
|
| 162 |
},
|
| 163 |
{
|
| 164 |
"epoch": 1.43,
|
| 165 |
+
"learning_rate": 4.326364692218351e-05,
|
| 166 |
+
"loss": 0.3182,
|
| 167 |
"step": 250
|
| 168 |
},
|
| 169 |
{
|
| 170 |
"epoch": 1.49,
|
| 171 |
+
"learning_rate": 4.29732868757259e-05,
|
| 172 |
+
"loss": 0.3147,
|
| 173 |
"step": 260
|
| 174 |
},
|
| 175 |
{
|
| 176 |
"epoch": 1.55,
|
| 177 |
+
"learning_rate": 4.26829268292683e-05,
|
| 178 |
+
"loss": 0.3389,
|
| 179 |
"step": 270
|
| 180 |
},
|
| 181 |
{
|
| 182 |
"epoch": 1.6,
|
| 183 |
+
"learning_rate": 4.239256678281069e-05,
|
| 184 |
+
"loss": 0.3291,
|
| 185 |
"step": 280
|
| 186 |
},
|
| 187 |
{
|
| 188 |
"epoch": 1.66,
|
| 189 |
+
"learning_rate": 4.210220673635308e-05,
|
| 190 |
+
"loss": 0.3706,
|
| 191 |
"step": 290
|
| 192 |
},
|
| 193 |
{
|
| 194 |
"epoch": 1.72,
|
| 195 |
+
"learning_rate": 4.181184668989547e-05,
|
| 196 |
+
"loss": 0.3576,
|
| 197 |
"step": 300
|
| 198 |
},
|
| 199 |
{
|
| 200 |
"epoch": 1.78,
|
| 201 |
+
"learning_rate": 4.1521486643437866e-05,
|
| 202 |
+
"loss": 0.3543,
|
| 203 |
"step": 310
|
| 204 |
},
|
| 205 |
{
|
| 206 |
"epoch": 1.83,
|
| 207 |
+
"learning_rate": 4.123112659698026e-05,
|
| 208 |
+
"loss": 0.305,
|
| 209 |
"step": 320
|
| 210 |
},
|
| 211 |
{
|
| 212 |
"epoch": 1.89,
|
| 213 |
+
"learning_rate": 4.0940766550522653e-05,
|
| 214 |
+
"loss": 0.3487,
|
| 215 |
"step": 330
|
| 216 |
},
|
| 217 |
{
|
| 218 |
"epoch": 1.95,
|
| 219 |
+
"learning_rate": 4.065040650406504e-05,
|
| 220 |
+
"loss": 0.3518,
|
| 221 |
"step": 340
|
| 222 |
},
|
| 223 |
{
|
| 224 |
"epoch": 2.0,
|
| 225 |
+
"eval_accuracy": 0.9033816425120773,
|
| 226 |
+
"eval_loss": 0.24492110311985016,
|
| 227 |
+
"eval_runtime": 9.5576,
|
| 228 |
+
"eval_samples_per_second": 64.975,
|
| 229 |
+
"eval_steps_per_second": 8.161,
|
| 230 |
"step": 349
|
| 231 |
},
|
| 232 |
{
|
| 233 |
"epoch": 2.01,
|
| 234 |
+
"learning_rate": 4.0360046457607435e-05,
|
| 235 |
+
"loss": 0.2923,
|
| 236 |
"step": 350
|
| 237 |
},
|
| 238 |
{
|
| 239 |
"epoch": 2.06,
|
| 240 |
+
"learning_rate": 4.006968641114983e-05,
|
| 241 |
+
"loss": 0.3222,
|
| 242 |
"step": 360
|
| 243 |
},
|
| 244 |
{
|
| 245 |
"epoch": 2.12,
|
| 246 |
+
"learning_rate": 3.977932636469222e-05,
|
| 247 |
+
"loss": 0.317,
|
| 248 |
"step": 370
|
| 249 |
},
|
| 250 |
{
|
| 251 |
"epoch": 2.18,
|
| 252 |
+
"learning_rate": 3.948896631823461e-05,
|
| 253 |
+
"loss": 0.3217,
|
| 254 |
"step": 380
|
| 255 |
},
|
| 256 |
{
|
| 257 |
"epoch": 2.23,
|
| 258 |
+
"learning_rate": 3.9198606271777003e-05,
|
| 259 |
+
"loss": 0.2979,
|
| 260 |
"step": 390
|
| 261 |
},
|
| 262 |
{
|
| 263 |
"epoch": 2.29,
|
| 264 |
+
"learning_rate": 3.89082462253194e-05,
|
| 265 |
+
"loss": 0.259,
|
| 266 |
"step": 400
|
| 267 |
},
|
| 268 |
{
|
| 269 |
"epoch": 2.35,
|
| 270 |
+
"learning_rate": 3.861788617886179e-05,
|
| 271 |
+
"loss": 0.3416,
|
| 272 |
"step": 410
|
| 273 |
},
|
| 274 |
{
|
| 275 |
"epoch": 2.41,
|
| 276 |
+
"learning_rate": 3.8327526132404185e-05,
|
| 277 |
+
"loss": 0.3103,
|
| 278 |
"step": 420
|
| 279 |
},
|
| 280 |
{
|
| 281 |
"epoch": 2.46,
|
| 282 |
+
"learning_rate": 3.803716608594657e-05,
|
| 283 |
+
"loss": 0.2513,
|
| 284 |
"step": 430
|
| 285 |
},
|
| 286 |
{
|
| 287 |
"epoch": 2.52,
|
| 288 |
+
"learning_rate": 3.7746806039488966e-05,
|
| 289 |
+
"loss": 0.2599,
|
| 290 |
"step": 440
|
| 291 |
},
|
| 292 |
{
|
| 293 |
"epoch": 2.58,
|
| 294 |
+
"learning_rate": 3.745644599303136e-05,
|
| 295 |
+
"loss": 0.3085,
|
| 296 |
"step": 450
|
| 297 |
},
|
| 298 |
{
|
| 299 |
"epoch": 2.64,
|
| 300 |
+
"learning_rate": 3.7166085946573754e-05,
|
| 301 |
+
"loss": 0.2228,
|
| 302 |
"step": 460
|
| 303 |
},
|
| 304 |
{
|
| 305 |
"epoch": 2.69,
|
| 306 |
+
"learning_rate": 3.687572590011615e-05,
|
| 307 |
+
"loss": 0.2387,
|
| 308 |
"step": 470
|
| 309 |
},
|
| 310 |
{
|
| 311 |
"epoch": 2.75,
|
| 312 |
+
"learning_rate": 3.6585365853658535e-05,
|
| 313 |
+
"loss": 0.2562,
|
| 314 |
"step": 480
|
| 315 |
},
|
| 316 |
{
|
| 317 |
"epoch": 2.81,
|
| 318 |
+
"learning_rate": 3.629500580720093e-05,
|
| 319 |
+
"loss": 0.2431,
|
| 320 |
"step": 490
|
| 321 |
},
|
| 322 |
{
|
| 323 |
"epoch": 2.87,
|
| 324 |
+
"learning_rate": 3.600464576074332e-05,
|
| 325 |
+
"loss": 0.2774,
|
| 326 |
"step": 500
|
| 327 |
},
|
| 328 |
{
|
| 329 |
"epoch": 2.92,
|
| 330 |
+
"learning_rate": 3.571428571428572e-05,
|
| 331 |
+
"loss": 0.2445,
|
| 332 |
"step": 510
|
| 333 |
},
|
| 334 |
{
|
| 335 |
"epoch": 2.98,
|
| 336 |
+
"learning_rate": 3.5423925667828104e-05,
|
| 337 |
+
"loss": 0.225,
|
| 338 |
"step": 520
|
| 339 |
},
|
| 340 |
{
|
| 341 |
"epoch": 3.0,
|
| 342 |
+
"eval_accuracy": 0.9500805152979066,
|
| 343 |
+
"eval_loss": 0.13247297704219818,
|
| 344 |
+
"eval_runtime": 8.7139,
|
| 345 |
+
"eval_samples_per_second": 71.265,
|
| 346 |
+
"eval_steps_per_second": 8.951,
|
| 347 |
"step": 523
|
| 348 |
},
|
| 349 |
{
|
| 350 |
"epoch": 3.04,
|
| 351 |
+
"learning_rate": 3.51335656213705e-05,
|
| 352 |
+
"loss": 0.2198,
|
| 353 |
"step": 530
|
| 354 |
},
|
| 355 |
{
|
| 356 |
"epoch": 3.09,
|
| 357 |
+
"learning_rate": 3.48432055749129e-05,
|
| 358 |
+
"loss": 0.2398,
|
| 359 |
"step": 540
|
| 360 |
},
|
| 361 |
{
|
| 362 |
"epoch": 3.15,
|
| 363 |
+
"learning_rate": 3.4552845528455286e-05,
|
| 364 |
+
"loss": 0.1821,
|
| 365 |
"step": 550
|
| 366 |
},
|
| 367 |
{
|
| 368 |
"epoch": 3.21,
|
| 369 |
+
"learning_rate": 3.426248548199768e-05,
|
| 370 |
+
"loss": 0.2148,
|
| 371 |
"step": 560
|
| 372 |
},
|
| 373 |
{
|
| 374 |
"epoch": 3.27,
|
| 375 |
+
"learning_rate": 3.397212543554007e-05,
|
| 376 |
+
"loss": 0.3183,
|
| 377 |
"step": 570
|
| 378 |
},
|
| 379 |
{
|
| 380 |
"epoch": 3.32,
|
| 381 |
+
"learning_rate": 3.368176538908247e-05,
|
| 382 |
+
"loss": 0.2292,
|
| 383 |
"step": 580
|
| 384 |
},
|
| 385 |
{
|
| 386 |
"epoch": 3.38,
|
| 387 |
+
"learning_rate": 3.3391405342624855e-05,
|
| 388 |
+
"loss": 0.1987,
|
| 389 |
"step": 590
|
| 390 |
},
|
| 391 |
{
|
| 392 |
"epoch": 3.44,
|
| 393 |
+
"learning_rate": 3.310104529616725e-05,
|
| 394 |
+
"loss": 0.2434,
|
| 395 |
"step": 600
|
| 396 |
},
|
| 397 |
{
|
| 398 |
"epoch": 3.5,
|
| 399 |
+
"learning_rate": 3.281068524970964e-05,
|
| 400 |
+
"loss": 0.2906,
|
| 401 |
"step": 610
|
| 402 |
},
|
| 403 |
{
|
| 404 |
"epoch": 3.55,
|
| 405 |
+
"learning_rate": 3.2520325203252037e-05,
|
| 406 |
+
"loss": 0.2117,
|
| 407 |
"step": 620
|
| 408 |
},
|
| 409 |
{
|
| 410 |
"epoch": 3.61,
|
| 411 |
+
"learning_rate": 3.222996515679443e-05,
|
| 412 |
+
"loss": 0.22,
|
| 413 |
"step": 630
|
| 414 |
},
|
| 415 |
{
|
| 416 |
"epoch": 3.67,
|
| 417 |
+
"learning_rate": 3.193960511033682e-05,
|
| 418 |
+
"loss": 0.1831,
|
| 419 |
"step": 640
|
| 420 |
},
|
| 421 |
{
|
| 422 |
"epoch": 3.72,
|
| 423 |
+
"learning_rate": 3.164924506387921e-05,
|
| 424 |
+
"loss": 0.1943,
|
| 425 |
"step": 650
|
| 426 |
},
|
| 427 |
{
|
| 428 |
"epoch": 3.78,
|
| 429 |
+
"learning_rate": 3.13588850174216e-05,
|
| 430 |
+
"loss": 0.2528,
|
| 431 |
"step": 660
|
| 432 |
},
|
| 433 |
{
|
| 434 |
"epoch": 3.84,
|
| 435 |
+
"learning_rate": 3.1068524970964e-05,
|
| 436 |
+
"loss": 0.2057,
|
| 437 |
"step": 670
|
| 438 |
},
|
| 439 |
{
|
| 440 |
"epoch": 3.9,
|
| 441 |
+
"learning_rate": 3.077816492450639e-05,
|
| 442 |
+
"loss": 0.2584,
|
| 443 |
"step": 680
|
| 444 |
},
|
| 445 |
{
|
| 446 |
"epoch": 3.95,
|
| 447 |
+
"learning_rate": 3.048780487804878e-05,
|
| 448 |
+
"loss": 0.2195,
|
| 449 |
"step": 690
|
| 450 |
},
|
| 451 |
{
|
| 452 |
"epoch": 4.0,
|
| 453 |
+
"eval_accuracy": 0.9549114331723028,
|
| 454 |
+
"eval_loss": 0.10237770527601242,
|
| 455 |
+
"eval_runtime": 9.1181,
|
| 456 |
+
"eval_samples_per_second": 68.106,
|
| 457 |
+
"eval_steps_per_second": 8.554,
|
| 458 |
"step": 698
|
| 459 |
},
|
| 460 |
{
|
| 461 |
"epoch": 4.01,
|
| 462 |
+
"learning_rate": 3.0197444831591178e-05,
|
| 463 |
+
"loss": 0.2832,
|
| 464 |
"step": 700
|
| 465 |
},
|
| 466 |
{
|
| 467 |
"epoch": 4.07,
|
| 468 |
+
"learning_rate": 2.9907084785133565e-05,
|
| 469 |
+
"loss": 0.2087,
|
| 470 |
"step": 710
|
| 471 |
},
|
| 472 |
{
|
| 473 |
"epoch": 4.13,
|
| 474 |
+
"learning_rate": 2.9616724738675962e-05,
|
| 475 |
+
"loss": 0.1709,
|
| 476 |
"step": 720
|
| 477 |
},
|
| 478 |
{
|
| 479 |
"epoch": 4.18,
|
| 480 |
+
"learning_rate": 2.932636469221835e-05,
|
| 481 |
+
"loss": 0.1891,
|
| 482 |
"step": 730
|
| 483 |
},
|
| 484 |
{
|
| 485 |
"epoch": 4.24,
|
| 486 |
+
"learning_rate": 2.9036004645760743e-05,
|
| 487 |
+
"loss": 0.1923,
|
| 488 |
"step": 740
|
| 489 |
},
|
| 490 |
{
|
| 491 |
"epoch": 4.3,
|
| 492 |
+
"learning_rate": 2.874564459930314e-05,
|
| 493 |
+
"loss": 0.2178,
|
| 494 |
"step": 750
|
| 495 |
},
|
| 496 |
{
|
| 497 |
"epoch": 4.36,
|
| 498 |
+
"learning_rate": 2.8455284552845528e-05,
|
| 499 |
+
"loss": 0.2256,
|
| 500 |
"step": 760
|
| 501 |
},
|
| 502 |
{
|
| 503 |
"epoch": 4.41,
|
| 504 |
+
"learning_rate": 2.8164924506387925e-05,
|
| 505 |
+
"loss": 0.2184,
|
| 506 |
"step": 770
|
| 507 |
},
|
| 508 |
{
|
| 509 |
"epoch": 4.47,
|
| 510 |
+
"learning_rate": 2.7874564459930312e-05,
|
| 511 |
+
"loss": 0.245,
|
| 512 |
"step": 780
|
| 513 |
},
|
| 514 |
{
|
| 515 |
"epoch": 4.53,
|
| 516 |
+
"learning_rate": 2.758420441347271e-05,
|
| 517 |
+
"loss": 0.229,
|
| 518 |
"step": 790
|
| 519 |
},
|
| 520 |
{
|
| 521 |
"epoch": 4.58,
|
| 522 |
+
"learning_rate": 2.7293844367015097e-05,
|
| 523 |
+
"loss": 0.2236,
|
| 524 |
"step": 800
|
| 525 |
},
|
| 526 |
{
|
| 527 |
"epoch": 4.64,
|
| 528 |
+
"learning_rate": 2.7003484320557494e-05,
|
| 529 |
+
"loss": 0.2517,
|
| 530 |
"step": 810
|
| 531 |
},
|
| 532 |
{
|
| 533 |
"epoch": 4.7,
|
| 534 |
+
"learning_rate": 2.6713124274099888e-05,
|
| 535 |
+
"loss": 0.1755,
|
| 536 |
"step": 820
|
| 537 |
},
|
| 538 |
{
|
| 539 |
"epoch": 4.76,
|
| 540 |
+
"learning_rate": 2.642276422764228e-05,
|
| 541 |
+
"loss": 0.1663,
|
| 542 |
"step": 830
|
| 543 |
},
|
| 544 |
{
|
| 545 |
"epoch": 4.81,
|
| 546 |
+
"learning_rate": 2.6132404181184672e-05,
|
| 547 |
+
"loss": 0.1958,
|
| 548 |
"step": 840
|
| 549 |
},
|
| 550 |
{
|
| 551 |
"epoch": 4.87,
|
| 552 |
+
"learning_rate": 2.5842044134727063e-05,
|
| 553 |
+
"loss": 0.2334,
|
| 554 |
"step": 850
|
| 555 |
},
|
| 556 |
{
|
| 557 |
"epoch": 4.93,
|
| 558 |
+
"learning_rate": 2.5551684088269457e-05,
|
| 559 |
+
"loss": 0.2576,
|
| 560 |
"step": 860
|
| 561 |
},
|
| 562 |
{
|
| 563 |
"epoch": 4.99,
|
| 564 |
+
"learning_rate": 2.5261324041811847e-05,
|
| 565 |
+
"loss": 0.2627,
|
| 566 |
"step": 870
|
| 567 |
},
|
| 568 |
{
|
| 569 |
+
"epoch": 5.0,
|
| 570 |
+
"eval_accuracy": 0.9629629629629629,
|
| 571 |
+
"eval_loss": 0.1045805960893631,
|
| 572 |
+
"eval_runtime": 9.624,
|
| 573 |
+
"eval_samples_per_second": 64.526,
|
| 574 |
+
"eval_steps_per_second": 8.105,
|
| 575 |
+
"step": 872
|
| 576 |
},
|
| 577 |
{
|
| 578 |
+
"epoch": 5.04,
|
| 579 |
+
"learning_rate": 2.497096399535424e-05,
|
| 580 |
+
"loss": 0.2139,
|
| 581 |
+
"step": 880
|
| 582 |
+
},
|
| 583 |
+
{
|
| 584 |
+
"epoch": 5.1,
|
| 585 |
+
"learning_rate": 2.4680603948896632e-05,
|
| 586 |
+
"loss": 0.2114,
|
| 587 |
+
"step": 890
|
| 588 |
+
},
|
| 589 |
+
{
|
| 590 |
+
"epoch": 5.16,
|
| 591 |
+
"learning_rate": 2.4390243902439026e-05,
|
| 592 |
+
"loss": 0.2097,
|
| 593 |
+
"step": 900
|
| 594 |
+
},
|
| 595 |
+
{
|
| 596 |
+
"epoch": 5.21,
|
| 597 |
+
"learning_rate": 2.4099883855981416e-05,
|
| 598 |
+
"loss": 0.2136,
|
| 599 |
+
"step": 910
|
| 600 |
+
},
|
| 601 |
+
{
|
| 602 |
+
"epoch": 5.27,
|
| 603 |
+
"learning_rate": 2.380952380952381e-05,
|
| 604 |
+
"loss": 0.2523,
|
| 605 |
+
"step": 920
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 5.33,
|
| 609 |
+
"learning_rate": 2.3519163763066204e-05,
|
| 610 |
+
"loss": 0.1787,
|
| 611 |
+
"step": 930
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 5.39,
|
| 615 |
+
"learning_rate": 2.3228803716608598e-05,
|
| 616 |
+
"loss": 0.1828,
|
| 617 |
+
"step": 940
|
| 618 |
+
},
|
| 619 |
+
{
|
| 620 |
+
"epoch": 5.44,
|
| 621 |
+
"learning_rate": 2.293844367015099e-05,
|
| 622 |
+
"loss": 0.1549,
|
| 623 |
+
"step": 950
|
| 624 |
+
},
|
| 625 |
+
{
|
| 626 |
+
"epoch": 5.5,
|
| 627 |
+
"learning_rate": 2.264808362369338e-05,
|
| 628 |
+
"loss": 0.1531,
|
| 629 |
+
"step": 960
|
| 630 |
+
},
|
| 631 |
+
{
|
| 632 |
+
"epoch": 5.56,
|
| 633 |
+
"learning_rate": 2.2357723577235773e-05,
|
| 634 |
+
"loss": 0.1957,
|
| 635 |
+
"step": 970
|
| 636 |
+
},
|
| 637 |
+
{
|
| 638 |
+
"epoch": 5.62,
|
| 639 |
+
"learning_rate": 2.2067363530778164e-05,
|
| 640 |
+
"loss": 0.222,
|
| 641 |
+
"step": 980
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"epoch": 5.67,
|
| 645 |
+
"learning_rate": 2.1777003484320557e-05,
|
| 646 |
+
"loss": 0.2211,
|
| 647 |
+
"step": 990
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 5.73,
|
| 651 |
+
"learning_rate": 2.148664343786295e-05,
|
| 652 |
+
"loss": 0.1711,
|
| 653 |
+
"step": 1000
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 5.79,
|
| 657 |
+
"learning_rate": 2.1196283391405345e-05,
|
| 658 |
+
"loss": 0.1759,
|
| 659 |
+
"step": 1010
|
| 660 |
+
},
|
| 661 |
+
{
|
| 662 |
+
"epoch": 5.85,
|
| 663 |
+
"learning_rate": 2.0905923344947736e-05,
|
| 664 |
+
"loss": 0.2333,
|
| 665 |
+
"step": 1020
|
| 666 |
+
},
|
| 667 |
+
{
|
| 668 |
+
"epoch": 5.9,
|
| 669 |
+
"learning_rate": 2.061556329849013e-05,
|
| 670 |
+
"loss": 0.2269,
|
| 671 |
+
"step": 1030
|
| 672 |
+
},
|
| 673 |
+
{
|
| 674 |
+
"epoch": 5.96,
|
| 675 |
+
"learning_rate": 2.032520325203252e-05,
|
| 676 |
+
"loss": 0.142,
|
| 677 |
+
"step": 1040
|
| 678 |
+
},
|
| 679 |
+
{
|
| 680 |
+
"epoch": 6.0,
|
| 681 |
+
"eval_accuracy": 0.9726247987117552,
|
| 682 |
+
"eval_loss": 0.08394750207662582,
|
| 683 |
+
"eval_runtime": 8.0552,
|
| 684 |
+
"eval_samples_per_second": 77.093,
|
| 685 |
+
"eval_steps_per_second": 9.683,
|
| 686 |
+
"step": 1047
|
| 687 |
+
},
|
| 688 |
+
{
|
| 689 |
+
"epoch": 6.02,
|
| 690 |
+
"learning_rate": 2.0034843205574914e-05,
|
| 691 |
+
"loss": 0.1847,
|
| 692 |
+
"step": 1050
|
| 693 |
+
},
|
| 694 |
+
{
|
| 695 |
+
"epoch": 6.07,
|
| 696 |
+
"learning_rate": 1.9744483159117305e-05,
|
| 697 |
+
"loss": 0.1569,
|
| 698 |
+
"step": 1060
|
| 699 |
+
},
|
| 700 |
+
{
|
| 701 |
+
"epoch": 6.13,
|
| 702 |
+
"learning_rate": 1.94541231126597e-05,
|
| 703 |
+
"loss": 0.2001,
|
| 704 |
+
"step": 1070
|
| 705 |
+
},
|
| 706 |
+
{
|
| 707 |
+
"epoch": 6.19,
|
| 708 |
+
"learning_rate": 1.9163763066202093e-05,
|
| 709 |
+
"loss": 0.1721,
|
| 710 |
+
"step": 1080
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 6.25,
|
| 714 |
+
"learning_rate": 1.8873403019744483e-05,
|
| 715 |
+
"loss": 0.1406,
|
| 716 |
+
"step": 1090
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 6.3,
|
| 720 |
+
"learning_rate": 1.8583042973286877e-05,
|
| 721 |
+
"loss": 0.1943,
|
| 722 |
+
"step": 1100
|
| 723 |
+
},
|
| 724 |
+
{
|
| 725 |
+
"epoch": 6.36,
|
| 726 |
+
"learning_rate": 1.8292682926829268e-05,
|
| 727 |
+
"loss": 0.1812,
|
| 728 |
+
"step": 1110
|
| 729 |
+
},
|
| 730 |
+
{
|
| 731 |
+
"epoch": 6.42,
|
| 732 |
+
"learning_rate": 1.800232288037166e-05,
|
| 733 |
+
"loss": 0.105,
|
| 734 |
+
"step": 1120
|
| 735 |
+
},
|
| 736 |
+
{
|
| 737 |
+
"epoch": 6.48,
|
| 738 |
+
"learning_rate": 1.7711962833914052e-05,
|
| 739 |
+
"loss": 0.1356,
|
| 740 |
+
"step": 1130
|
| 741 |
+
},
|
| 742 |
+
{
|
| 743 |
+
"epoch": 6.53,
|
| 744 |
+
"learning_rate": 1.742160278745645e-05,
|
| 745 |
+
"loss": 0.1678,
|
| 746 |
+
"step": 1140
|
| 747 |
+
},
|
| 748 |
+
{
|
| 749 |
+
"epoch": 6.59,
|
| 750 |
+
"learning_rate": 1.713124274099884e-05,
|
| 751 |
+
"loss": 0.1989,
|
| 752 |
+
"step": 1150
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 6.65,
|
| 756 |
+
"learning_rate": 1.6840882694541234e-05,
|
| 757 |
+
"loss": 0.0919,
|
| 758 |
+
"step": 1160
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 6.7,
|
| 762 |
+
"learning_rate": 1.6550522648083624e-05,
|
| 763 |
+
"loss": 0.1554,
|
| 764 |
+
"step": 1170
|
| 765 |
+
},
|
| 766 |
+
{
|
| 767 |
+
"epoch": 6.76,
|
| 768 |
+
"learning_rate": 1.6260162601626018e-05,
|
| 769 |
+
"loss": 0.1257,
|
| 770 |
+
"step": 1180
|
| 771 |
+
},
|
| 772 |
+
{
|
| 773 |
+
"epoch": 6.82,
|
| 774 |
+
"learning_rate": 1.596980255516841e-05,
|
| 775 |
+
"loss": 0.2064,
|
| 776 |
+
"step": 1190
|
| 777 |
+
},
|
| 778 |
+
{
|
| 779 |
+
"epoch": 6.88,
|
| 780 |
+
"learning_rate": 1.56794425087108e-05,
|
| 781 |
+
"loss": 0.1877,
|
| 782 |
+
"step": 1200
|
| 783 |
+
},
|
| 784 |
+
{
|
| 785 |
+
"epoch": 6.93,
|
| 786 |
+
"learning_rate": 1.5389082462253197e-05,
|
| 787 |
+
"loss": 0.1878,
|
| 788 |
+
"step": 1210
|
| 789 |
+
},
|
| 790 |
+
{
|
| 791 |
+
"epoch": 6.99,
|
| 792 |
+
"learning_rate": 1.5098722415795589e-05,
|
| 793 |
+
"loss": 0.1516,
|
| 794 |
+
"step": 1220
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 7.0,
|
| 798 |
+
"eval_accuracy": 0.9629629629629629,
|
| 799 |
+
"eval_loss": 0.09183160960674286,
|
| 800 |
+
"eval_runtime": 9.7233,
|
| 801 |
+
"eval_samples_per_second": 63.867,
|
| 802 |
+
"eval_steps_per_second": 8.022,
|
| 803 |
+
"step": 1221
|
| 804 |
+
},
|
| 805 |
+
{
|
| 806 |
+
"epoch": 7.05,
|
| 807 |
+
"learning_rate": 1.4808362369337981e-05,
|
| 808 |
+
"loss": 0.1592,
|
| 809 |
+
"step": 1230
|
| 810 |
+
},
|
| 811 |
+
{
|
| 812 |
+
"epoch": 7.11,
|
| 813 |
+
"learning_rate": 1.4518002322880372e-05,
|
| 814 |
+
"loss": 0.198,
|
| 815 |
+
"step": 1240
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"epoch": 7.16,
|
| 819 |
+
"learning_rate": 1.4227642276422764e-05,
|
| 820 |
+
"loss": 0.1892,
|
| 821 |
+
"step": 1250
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 7.22,
|
| 825 |
+
"learning_rate": 1.3937282229965156e-05,
|
| 826 |
+
"loss": 0.1777,
|
| 827 |
+
"step": 1260
|
| 828 |
+
},
|
| 829 |
+
{
|
| 830 |
+
"epoch": 7.28,
|
| 831 |
+
"learning_rate": 1.3646922183507548e-05,
|
| 832 |
+
"loss": 0.0918,
|
| 833 |
+
"step": 1270
|
| 834 |
+
},
|
| 835 |
+
{
|
| 836 |
+
"epoch": 7.34,
|
| 837 |
+
"learning_rate": 1.3356562137049944e-05,
|
| 838 |
+
"loss": 0.0896,
|
| 839 |
+
"step": 1280
|
| 840 |
+
},
|
| 841 |
+
{
|
| 842 |
+
"epoch": 7.39,
|
| 843 |
+
"learning_rate": 1.3066202090592336e-05,
|
| 844 |
+
"loss": 0.1273,
|
| 845 |
+
"step": 1290
|
| 846 |
+
},
|
| 847 |
+
{
|
| 848 |
+
"epoch": 7.45,
|
| 849 |
+
"learning_rate": 1.2775842044134728e-05,
|
| 850 |
+
"loss": 0.1521,
|
| 851 |
+
"step": 1300
|
| 852 |
+
},
|
| 853 |
+
{
|
| 854 |
+
"epoch": 7.51,
|
| 855 |
+
"learning_rate": 1.248548199767712e-05,
|
| 856 |
+
"loss": 0.1628,
|
| 857 |
+
"step": 1310
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 7.56,
|
| 861 |
+
"learning_rate": 1.2195121951219513e-05,
|
| 862 |
+
"loss": 0.1587,
|
| 863 |
+
"step": 1320
|
| 864 |
+
},
|
| 865 |
+
{
|
| 866 |
+
"epoch": 7.62,
|
| 867 |
+
"learning_rate": 1.1904761904761905e-05,
|
| 868 |
+
"loss": 0.205,
|
| 869 |
+
"step": 1330
|
| 870 |
+
},
|
| 871 |
+
{
|
| 872 |
+
"epoch": 7.68,
|
| 873 |
+
"learning_rate": 1.1614401858304299e-05,
|
| 874 |
+
"loss": 0.1415,
|
| 875 |
+
"step": 1340
|
| 876 |
+
},
|
| 877 |
+
{
|
| 878 |
+
"epoch": 7.74,
|
| 879 |
+
"learning_rate": 1.132404181184669e-05,
|
| 880 |
+
"loss": 0.1982,
|
| 881 |
+
"step": 1350
|
| 882 |
+
},
|
| 883 |
+
{
|
| 884 |
+
"epoch": 7.79,
|
| 885 |
+
"learning_rate": 1.1033681765389082e-05,
|
| 886 |
+
"loss": 0.1079,
|
| 887 |
+
"step": 1360
|
| 888 |
+
},
|
| 889 |
+
{
|
| 890 |
+
"epoch": 7.85,
|
| 891 |
+
"learning_rate": 1.0743321718931476e-05,
|
| 892 |
+
"loss": 0.1115,
|
| 893 |
+
"step": 1370
|
| 894 |
+
},
|
| 895 |
+
{
|
| 896 |
+
"epoch": 7.91,
|
| 897 |
+
"learning_rate": 1.0452961672473868e-05,
|
| 898 |
+
"loss": 0.2234,
|
| 899 |
+
"step": 1380
|
| 900 |
+
},
|
| 901 |
+
{
|
| 902 |
+
"epoch": 7.97,
|
| 903 |
+
"learning_rate": 1.016260162601626e-05,
|
| 904 |
+
"loss": 0.1498,
|
| 905 |
+
"step": 1390
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 8.0,
|
| 909 |
+
"eval_accuracy": 0.9726247987117552,
|
| 910 |
+
"eval_loss": 0.07796485722064972,
|
| 911 |
+
"eval_runtime": 9.3543,
|
| 912 |
+
"eval_samples_per_second": 66.386,
|
| 913 |
+
"eval_steps_per_second": 8.338,
|
| 914 |
+
"step": 1396
|
| 915 |
+
},
|
| 916 |
+
{
|
| 917 |
+
"epoch": 8.02,
|
| 918 |
+
"learning_rate": 9.872241579558652e-06,
|
| 919 |
+
"loss": 0.1299,
|
| 920 |
+
"step": 1400
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 8.08,
|
| 924 |
+
"learning_rate": 9.581881533101046e-06,
|
| 925 |
+
"loss": 0.1389,
|
| 926 |
+
"step": 1410
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 8.14,
|
| 930 |
+
"learning_rate": 9.291521486643439e-06,
|
| 931 |
+
"loss": 0.1499,
|
| 932 |
+
"step": 1420
|
| 933 |
+
},
|
| 934 |
+
{
|
| 935 |
+
"epoch": 8.19,
|
| 936 |
+
"learning_rate": 9.00116144018583e-06,
|
| 937 |
+
"loss": 0.2523,
|
| 938 |
+
"step": 1430
|
| 939 |
+
},
|
| 940 |
+
{
|
| 941 |
+
"epoch": 8.25,
|
| 942 |
+
"learning_rate": 8.710801393728225e-06,
|
| 943 |
+
"loss": 0.1067,
|
| 944 |
+
"step": 1440
|
| 945 |
+
},
|
| 946 |
+
{
|
| 947 |
+
"epoch": 8.31,
|
| 948 |
+
"learning_rate": 8.420441347270617e-06,
|
| 949 |
+
"loss": 0.1696,
|
| 950 |
+
"step": 1450
|
| 951 |
+
},
|
| 952 |
+
{
|
| 953 |
+
"epoch": 8.37,
|
| 954 |
+
"learning_rate": 8.130081300813009e-06,
|
| 955 |
+
"loss": 0.1279,
|
| 956 |
+
"step": 1460
|
| 957 |
+
},
|
| 958 |
+
{
|
| 959 |
+
"epoch": 8.42,
|
| 960 |
+
"learning_rate": 7.8397212543554e-06,
|
| 961 |
+
"loss": 0.1523,
|
| 962 |
+
"step": 1470
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 8.48,
|
| 966 |
+
"learning_rate": 7.5493612078977944e-06,
|
| 967 |
+
"loss": 0.1335,
|
| 968 |
+
"step": 1480
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 8.54,
|
| 972 |
+
"learning_rate": 7.259001161440186e-06,
|
| 973 |
+
"loss": 0.1122,
|
| 974 |
+
"step": 1490
|
| 975 |
+
},
|
| 976 |
+
{
|
| 977 |
+
"epoch": 8.6,
|
| 978 |
+
"learning_rate": 6.968641114982578e-06,
|
| 979 |
+
"loss": 0.1596,
|
| 980 |
+
"step": 1500
|
| 981 |
+
},
|
| 982 |
+
{
|
| 983 |
+
"epoch": 8.65,
|
| 984 |
+
"learning_rate": 6.678281068524972e-06,
|
| 985 |
+
"loss": 0.0975,
|
| 986 |
+
"step": 1510
|
| 987 |
+
},
|
| 988 |
+
{
|
| 989 |
+
"epoch": 8.71,
|
| 990 |
+
"learning_rate": 6.387921022067364e-06,
|
| 991 |
+
"loss": 0.1002,
|
| 992 |
+
"step": 1520
|
| 993 |
+
},
|
| 994 |
+
{
|
| 995 |
+
"epoch": 8.77,
|
| 996 |
+
"learning_rate": 6.0975609756097564e-06,
|
| 997 |
+
"loss": 0.0895,
|
| 998 |
+
"step": 1530
|
| 999 |
+
},
|
| 1000 |
+
{
|
| 1001 |
+
"epoch": 8.83,
|
| 1002 |
+
"learning_rate": 5.8072009291521495e-06,
|
| 1003 |
+
"loss": 0.0911,
|
| 1004 |
+
"step": 1540
|
| 1005 |
+
},
|
| 1006 |
+
{
|
| 1007 |
+
"epoch": 8.88,
|
| 1008 |
+
"learning_rate": 5.516840882694541e-06,
|
| 1009 |
+
"loss": 0.157,
|
| 1010 |
+
"step": 1550
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 8.94,
|
| 1014 |
+
"learning_rate": 5.226480836236934e-06,
|
| 1015 |
+
"loss": 0.1513,
|
| 1016 |
+
"step": 1560
|
| 1017 |
+
},
|
| 1018 |
+
{
|
| 1019 |
+
"epoch": 9.0,
|
| 1020 |
+
"learning_rate": 4.936120789779326e-06,
|
| 1021 |
+
"loss": 0.1189,
|
| 1022 |
+
"step": 1570
|
| 1023 |
+
},
|
| 1024 |
+
{
|
| 1025 |
+
"epoch": 9.0,
|
| 1026 |
+
"eval_accuracy": 0.966183574879227,
|
| 1027 |
+
"eval_loss": 0.07211676239967346,
|
| 1028 |
+
"eval_runtime": 8.3308,
|
| 1029 |
+
"eval_samples_per_second": 74.542,
|
| 1030 |
+
"eval_steps_per_second": 9.363,
|
| 1031 |
+
"step": 1570
|
| 1032 |
+
},
|
| 1033 |
+
{
|
| 1034 |
+
"epoch": 9.05,
|
| 1035 |
+
"learning_rate": 4.645760743321719e-06,
|
| 1036 |
+
"loss": 0.1239,
|
| 1037 |
+
"step": 1580
|
| 1038 |
+
},
|
| 1039 |
+
{
|
| 1040 |
+
"epoch": 9.11,
|
| 1041 |
+
"learning_rate": 4.355400696864112e-06,
|
| 1042 |
+
"loss": 0.1039,
|
| 1043 |
+
"step": 1590
|
| 1044 |
+
},
|
| 1045 |
+
{
|
| 1046 |
+
"epoch": 9.17,
|
| 1047 |
+
"learning_rate": 4.0650406504065046e-06,
|
| 1048 |
+
"loss": 0.1144,
|
| 1049 |
+
"step": 1600
|
| 1050 |
+
},
|
| 1051 |
+
{
|
| 1052 |
+
"epoch": 9.23,
|
| 1053 |
+
"learning_rate": 3.7746806039488972e-06,
|
| 1054 |
+
"loss": 0.1033,
|
| 1055 |
+
"step": 1610
|
| 1056 |
+
},
|
| 1057 |
+
{
|
| 1058 |
+
"epoch": 9.28,
|
| 1059 |
+
"learning_rate": 3.484320557491289e-06,
|
| 1060 |
+
"loss": 0.0829,
|
| 1061 |
+
"step": 1620
|
| 1062 |
+
},
|
| 1063 |
+
{
|
| 1064 |
+
"epoch": 9.34,
|
| 1065 |
+
"learning_rate": 3.193960511033682e-06,
|
| 1066 |
+
"loss": 0.1072,
|
| 1067 |
+
"step": 1630
|
| 1068 |
+
},
|
| 1069 |
+
{
|
| 1070 |
+
"epoch": 9.4,
|
| 1071 |
+
"learning_rate": 2.9036004645760748e-06,
|
| 1072 |
+
"loss": 0.1257,
|
| 1073 |
+
"step": 1640
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 9.46,
|
| 1077 |
+
"learning_rate": 2.613240418118467e-06,
|
| 1078 |
+
"loss": 0.0804,
|
| 1079 |
+
"step": 1650
|
| 1080 |
+
},
|
| 1081 |
+
{
|
| 1082 |
+
"epoch": 9.51,
|
| 1083 |
+
"learning_rate": 2.3228803716608596e-06,
|
| 1084 |
+
"loss": 0.119,
|
| 1085 |
+
"step": 1660
|
| 1086 |
+
},
|
| 1087 |
+
{
|
| 1088 |
+
"epoch": 9.57,
|
| 1089 |
+
"learning_rate": 2.0325203252032523e-06,
|
| 1090 |
+
"loss": 0.0765,
|
| 1091 |
+
"step": 1670
|
| 1092 |
+
},
|
| 1093 |
+
{
|
| 1094 |
+
"epoch": 9.63,
|
| 1095 |
+
"learning_rate": 1.7421602787456445e-06,
|
| 1096 |
+
"loss": 0.1681,
|
| 1097 |
+
"step": 1680
|
| 1098 |
+
},
|
| 1099 |
+
{
|
| 1100 |
+
"epoch": 9.68,
|
| 1101 |
+
"learning_rate": 1.4518002322880374e-06,
|
| 1102 |
+
"loss": 0.1005,
|
| 1103 |
+
"step": 1690
|
| 1104 |
+
},
|
| 1105 |
+
{
|
| 1106 |
+
"epoch": 9.74,
|
| 1107 |
+
"learning_rate": 1.1614401858304298e-06,
|
| 1108 |
+
"loss": 0.1498,
|
| 1109 |
+
"step": 1700
|
| 1110 |
+
},
|
| 1111 |
+
{
|
| 1112 |
+
"epoch": 9.8,
|
| 1113 |
+
"learning_rate": 8.710801393728223e-07,
|
| 1114 |
+
"loss": 0.1365,
|
| 1115 |
+
"step": 1710
|
| 1116 |
+
},
|
| 1117 |
+
{
|
| 1118 |
+
"epoch": 9.86,
|
| 1119 |
+
"learning_rate": 5.807200929152149e-07,
|
| 1120 |
+
"loss": 0.122,
|
| 1121 |
+
"step": 1720
|
| 1122 |
+
},
|
| 1123 |
+
{
|
| 1124 |
+
"epoch": 9.91,
|
| 1125 |
+
"learning_rate": 2.9036004645760745e-07,
|
| 1126 |
+
"loss": 0.0906,
|
| 1127 |
+
"step": 1730
|
| 1128 |
+
},
|
| 1129 |
+
{
|
| 1130 |
+
"epoch": 9.97,
|
| 1131 |
+
"learning_rate": 0.0,
|
| 1132 |
+
"loss": 0.1594,
|
| 1133 |
+
"step": 1740
|
| 1134 |
+
},
|
| 1135 |
+
{
|
| 1136 |
+
"epoch": 9.97,
|
| 1137 |
+
"eval_accuracy": 0.9726247987117552,
|
| 1138 |
+
"eval_loss": 0.0668075904250145,
|
| 1139 |
+
"eval_runtime": 9.2098,
|
| 1140 |
+
"eval_samples_per_second": 67.428,
|
| 1141 |
+
"eval_steps_per_second": 8.469,
|
| 1142 |
+
"step": 1740
|
| 1143 |
+
},
|
| 1144 |
+
{
|
| 1145 |
+
"epoch": 9.97,
|
| 1146 |
+
"step": 1740,
|
| 1147 |
+
"total_flos": 1.3833876610752307e+18,
|
| 1148 |
+
"train_loss": 0.24886192696532983,
|
| 1149 |
+
"train_runtime": 1438.0658,
|
| 1150 |
+
"train_samples_per_second": 38.809,
|
| 1151 |
+
"train_steps_per_second": 1.21
|
| 1152 |
}
|
| 1153 |
],
|
| 1154 |
+
"max_steps": 1740,
|
| 1155 |
+
"num_train_epochs": 10,
|
| 1156 |
+
"total_flos": 1.3833876610752307e+18,
|
| 1157 |
"trial_name": null,
|
| 1158 |
"trial_params": null
|
| 1159 |
}
|