End of training
Browse files- all_results.json +11 -11
- eval_results.json +6 -6
- runs/Dec15_11-18-43_666f530b4c9c/events.out.tfevents.1702639864.666f530b4c9c.589.3 +3 -0
- train_results.json +6 -6
- trainer_state.json +185 -662
all_results.json
CHANGED
@@ -1,13 +1,13 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime": 6.
|
6 |
-
"eval_samples_per_second": 156.
|
7 |
-
"eval_steps_per_second": 5.
|
8 |
-
"total_flos":
|
9 |
-
"train_loss": 0.
|
10 |
-
"train_runtime":
|
11 |
-
"train_samples_per_second":
|
12 |
-
"train_steps_per_second": 0.
|
13 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 4.95,
|
3 |
+
"eval_accuracy": 0.9738372093023255,
|
4 |
+
"eval_loss": 0.10162452608346939,
|
5 |
+
"eval_runtime": 6.5939,
|
6 |
+
"eval_samples_per_second": 156.509,
|
7 |
+
"eval_steps_per_second": 5.005,
|
8 |
+
"total_flos": 1.1422818298339983e+18,
|
9 |
+
"train_loss": 0.08449313590923944,
|
10 |
+
"train_runtime": 710.4711,
|
11 |
+
"train_samples_per_second": 65.316,
|
12 |
+
"train_steps_per_second": 0.507
|
13 |
}
|
eval_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime": 6.
|
6 |
-
"eval_samples_per_second": 156.
|
7 |
-
"eval_steps_per_second": 5.
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 4.95,
|
3 |
+
"eval_accuracy": 0.9738372093023255,
|
4 |
+
"eval_loss": 0.10162452608346939,
|
5 |
+
"eval_runtime": 6.5939,
|
6 |
+
"eval_samples_per_second": 156.509,
|
7 |
+
"eval_steps_per_second": 5.005
|
8 |
}
|
runs/Dec15_11-18-43_666f530b4c9c/events.out.tfevents.1702639864.666f530b4c9c.589.3
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:739ee0253a33996c15a8032ef95137aaca4b82a4837ba8c4f69dd3214592bb6c
|
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": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 4.95,
|
3 |
+
"total_flos": 1.1422818298339983e+18,
|
4 |
+
"train_loss": 0.08449313590923944,
|
5 |
+
"train_runtime": 710.4711,
|
6 |
+
"train_samples_per_second": 65.316,
|
7 |
+
"train_steps_per_second": 0.507
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,982 +1,505 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
-
"best_model_checkpoint": "swin-tiny-patch4-window7-224-blank_img/checkpoint-
|
4 |
-
"epoch":
|
5 |
"eval_steps": 500,
|
6 |
-
"global_step":
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.07,
|
13 |
-
"learning_rate":
|
14 |
-
"loss": 0.
|
15 |
"step": 5
|
16 |
},
|
17 |
{
|
18 |
"epoch": 0.14,
|
19 |
-
"learning_rate":
|
20 |
-
"loss": 0.
|
21 |
"step": 10
|
22 |
},
|
23 |
{
|
24 |
"epoch": 0.21,
|
25 |
-
"learning_rate":
|
26 |
-
"loss": 0.
|
27 |
"step": 15
|
28 |
},
|
29 |
{
|
30 |
"epoch": 0.27,
|
31 |
-
"learning_rate":
|
32 |
-
"loss": 0.
|
33 |
"step": 20
|
34 |
},
|
35 |
{
|
36 |
"epoch": 0.34,
|
37 |
-
"learning_rate":
|
38 |
-
"loss": 0.
|
39 |
"step": 25
|
40 |
},
|
41 |
{
|
42 |
"epoch": 0.41,
|
43 |
-
"learning_rate":
|
44 |
-
"loss": 0.
|
45 |
"step": 30
|
46 |
},
|
47 |
{
|
48 |
"epoch": 0.48,
|
49 |
-
"learning_rate":
|
50 |
-
"loss": 0.
|
51 |
"step": 35
|
52 |
},
|
53 |
{
|
54 |
"epoch": 0.55,
|
55 |
-
"learning_rate":
|
56 |
-
"loss": 0.
|
57 |
"step": 40
|
58 |
},
|
59 |
{
|
60 |
"epoch": 0.62,
|
61 |
-
"learning_rate":
|
62 |
-
"loss": 0.
|
63 |
"step": 45
|
64 |
},
|
65 |
{
|
66 |
"epoch": 0.69,
|
67 |
-
"learning_rate":
|
68 |
-
"loss": 0.
|
69 |
"step": 50
|
70 |
},
|
71 |
{
|
72 |
"epoch": 0.76,
|
73 |
-
"learning_rate":
|
74 |
-
"loss": 0.
|
75 |
"step": 55
|
76 |
},
|
77 |
{
|
78 |
"epoch": 0.82,
|
79 |
-
"learning_rate": 4.
|
80 |
-
"loss": 0.
|
81 |
"step": 60
|
82 |
},
|
83 |
{
|
84 |
"epoch": 0.89,
|
85 |
-
"learning_rate": 4.
|
86 |
-
"loss": 0.
|
87 |
"step": 65
|
88 |
},
|
89 |
{
|
90 |
"epoch": 0.96,
|
91 |
-
"learning_rate": 4.
|
92 |
-
"loss": 0.
|
93 |
"step": 70
|
94 |
},
|
95 |
{
|
96 |
"epoch": 0.99,
|
97 |
-
"eval_accuracy": 0.
|
98 |
-
"eval_loss": 0.
|
99 |
-
"eval_runtime":
|
100 |
-
"eval_samples_per_second":
|
101 |
-
"eval_steps_per_second": 4.
|
102 |
"step": 72
|
103 |
},
|
104 |
{
|
105 |
"epoch": 1.03,
|
106 |
-
"learning_rate": 4.
|
107 |
-
"loss": 0.
|
108 |
"step": 75
|
109 |
},
|
110 |
{
|
111 |
"epoch": 1.1,
|
112 |
-
"learning_rate": 4.
|
113 |
-
"loss": 0.
|
114 |
"step": 80
|
115 |
},
|
116 |
{
|
117 |
"epoch": 1.17,
|
118 |
-
"learning_rate": 4.
|
119 |
-
"loss": 0.
|
120 |
"step": 85
|
121 |
},
|
122 |
{
|
123 |
"epoch": 1.24,
|
124 |
-
"learning_rate": 4.
|
125 |
-
"loss": 0.
|
126 |
"step": 90
|
127 |
},
|
128 |
{
|
129 |
"epoch": 1.31,
|
130 |
-
"learning_rate": 4.
|
131 |
-
"loss": 0.
|
132 |
"step": 95
|
133 |
},
|
134 |
{
|
135 |
"epoch": 1.37,
|
136 |
-
"learning_rate": 4.
|
137 |
-
"loss": 0.
|
138 |
"step": 100
|
139 |
},
|
140 |
{
|
141 |
"epoch": 1.44,
|
142 |
-
"learning_rate":
|
143 |
-
"loss": 0.
|
144 |
"step": 105
|
145 |
},
|
146 |
{
|
147 |
"epoch": 1.51,
|
148 |
-
"learning_rate":
|
149 |
-
"loss": 0.
|
150 |
"step": 110
|
151 |
},
|
152 |
{
|
153 |
"epoch": 1.58,
|
154 |
-
"learning_rate":
|
155 |
-
"loss": 0.
|
156 |
"step": 115
|
157 |
},
|
158 |
{
|
159 |
"epoch": 1.65,
|
160 |
-
"learning_rate":
|
161 |
-
"loss": 0.
|
162 |
"step": 120
|
163 |
},
|
164 |
{
|
165 |
"epoch": 1.72,
|
166 |
-
"learning_rate":
|
167 |
-
"loss": 0.
|
168 |
"step": 125
|
169 |
},
|
170 |
{
|
171 |
"epoch": 1.79,
|
172 |
-
"learning_rate":
|
173 |
-
"loss": 0.
|
174 |
"step": 130
|
175 |
},
|
176 |
{
|
177 |
"epoch": 1.86,
|
178 |
-
"learning_rate":
|
179 |
-
"loss": 0.
|
180 |
"step": 135
|
181 |
},
|
182 |
{
|
183 |
"epoch": 1.92,
|
184 |
-
"learning_rate":
|
185 |
-
"loss": 0.
|
186 |
"step": 140
|
187 |
},
|
188 |
{
|
189 |
"epoch": 1.99,
|
190 |
-
"learning_rate":
|
191 |
-
"loss": 0.
|
192 |
"step": 145
|
193 |
},
|
194 |
{
|
195 |
"epoch": 1.99,
|
196 |
-
"eval_accuracy": 0.
|
197 |
-
"eval_loss": 0.
|
198 |
-
"eval_runtime": 7.
|
199 |
-
"eval_samples_per_second":
|
200 |
-
"eval_steps_per_second": 4.
|
201 |
"step": 145
|
202 |
},
|
203 |
{
|
204 |
"epoch": 2.06,
|
205 |
-
"learning_rate":
|
206 |
-
"loss": 0.
|
207 |
"step": 150
|
208 |
},
|
209 |
{
|
210 |
"epoch": 2.13,
|
211 |
-
"learning_rate":
|
212 |
-
"loss": 0.
|
213 |
"step": 155
|
214 |
},
|
215 |
{
|
216 |
"epoch": 2.2,
|
217 |
-
"learning_rate":
|
218 |
-
"loss": 0.
|
219 |
"step": 160
|
220 |
},
|
221 |
{
|
222 |
"epoch": 2.27,
|
223 |
-
"learning_rate":
|
224 |
-
"loss": 0.
|
225 |
"step": 165
|
226 |
},
|
227 |
{
|
228 |
"epoch": 2.34,
|
229 |
-
"learning_rate":
|
230 |
-
"loss": 0.
|
231 |
"step": 170
|
232 |
},
|
233 |
{
|
234 |
"epoch": 2.41,
|
235 |
-
"learning_rate":
|
236 |
-
"loss": 0.
|
237 |
"step": 175
|
238 |
},
|
239 |
{
|
240 |
"epoch": 2.47,
|
241 |
-
"learning_rate":
|
242 |
-
"loss": 0.
|
243 |
"step": 180
|
244 |
},
|
245 |
{
|
246 |
"epoch": 2.54,
|
247 |
-
"learning_rate":
|
248 |
-
"loss": 0.
|
249 |
"step": 185
|
250 |
},
|
251 |
{
|
252 |
"epoch": 2.61,
|
253 |
-
"learning_rate":
|
254 |
-
"loss": 0.
|
255 |
"step": 190
|
256 |
},
|
257 |
{
|
258 |
"epoch": 2.68,
|
259 |
-
"learning_rate":
|
260 |
-
"loss": 0.
|
261 |
"step": 195
|
262 |
},
|
263 |
{
|
264 |
"epoch": 2.75,
|
265 |
-
"learning_rate":
|
266 |
-
"loss": 0.
|
267 |
"step": 200
|
268 |
},
|
269 |
{
|
270 |
"epoch": 2.82,
|
271 |
-
"learning_rate":
|
272 |
-
"loss": 0.
|
273 |
"step": 205
|
274 |
},
|
275 |
{
|
276 |
"epoch": 2.89,
|
277 |
-
"learning_rate":
|
278 |
-
"loss": 0.
|
279 |
"step": 210
|
280 |
},
|
281 |
{
|
282 |
"epoch": 2.96,
|
283 |
-
"learning_rate":
|
284 |
-
"loss": 0.
|
285 |
"step": 215
|
286 |
},
|
287 |
{
|
288 |
"epoch": 3.0,
|
289 |
-
"eval_accuracy": 0.
|
290 |
-
"eval_loss": 0.
|
291 |
-
"eval_runtime": 6.
|
292 |
-
"eval_samples_per_second": 155.
|
293 |
-
"eval_steps_per_second": 4.
|
294 |
"step": 218
|
295 |
},
|
296 |
{
|
297 |
"epoch": 3.02,
|
298 |
-
"learning_rate":
|
299 |
-
"loss": 0.
|
300 |
"step": 220
|
301 |
},
|
302 |
{
|
303 |
"epoch": 3.09,
|
304 |
-
"learning_rate":
|
305 |
-
"loss": 0.
|
306 |
"step": 225
|
307 |
},
|
308 |
{
|
309 |
"epoch": 3.16,
|
310 |
-
"learning_rate":
|
311 |
-
"loss": 0.
|
312 |
"step": 230
|
313 |
},
|
314 |
{
|
315 |
"epoch": 3.23,
|
316 |
-
"learning_rate":
|
317 |
-
"loss": 0.
|
318 |
"step": 235
|
319 |
},
|
320 |
{
|
321 |
"epoch": 3.3,
|
322 |
-
"learning_rate":
|
323 |
-
"loss": 0.
|
324 |
"step": 240
|
325 |
},
|
326 |
{
|
327 |
"epoch": 3.37,
|
328 |
-
"learning_rate":
|
329 |
-
"loss": 0.
|
330 |
"step": 245
|
331 |
},
|
332 |
{
|
333 |
"epoch": 3.44,
|
334 |
-
"learning_rate":
|
335 |
-
"loss": 0.
|
336 |
"step": 250
|
337 |
},
|
338 |
{
|
339 |
"epoch": 3.51,
|
340 |
-
"learning_rate":
|
341 |
-
"loss": 0.
|
342 |
"step": 255
|
343 |
},
|
344 |
{
|
345 |
"epoch": 3.57,
|
346 |
-
"learning_rate":
|
347 |
-
"loss": 0.
|
348 |
"step": 260
|
349 |
},
|
350 |
{
|
351 |
"epoch": 3.64,
|
352 |
-
"learning_rate":
|
353 |
-
"loss": 0.
|
354 |
"step": 265
|
355 |
},
|
356 |
{
|
357 |
"epoch": 3.71,
|
358 |
-
"learning_rate":
|
359 |
-
"loss": 0.
|
360 |
"step": 270
|
361 |
},
|
362 |
{
|
363 |
"epoch": 3.78,
|
364 |
-
"learning_rate":
|
365 |
-
"loss": 0.
|
366 |
"step": 275
|
367 |
},
|
368 |
{
|
369 |
"epoch": 3.85,
|
370 |
-
"learning_rate":
|
371 |
-
"loss": 0.
|
372 |
"step": 280
|
373 |
},
|
374 |
{
|
375 |
"epoch": 3.92,
|
376 |
-
"learning_rate":
|
377 |
-
"loss": 0.
|
378 |
"step": 285
|
379 |
},
|
380 |
{
|
381 |
"epoch": 3.99,
|
382 |
-
"learning_rate":
|
383 |
-
"loss": 0.
|
384 |
"step": 290
|
385 |
},
|
386 |
{
|
387 |
"epoch": 4.0,
|
388 |
-
"eval_accuracy": 0.
|
389 |
-
"eval_loss": 0.
|
390 |
-
"eval_runtime":
|
391 |
-
"eval_samples_per_second":
|
392 |
-
"eval_steps_per_second":
|
393 |
"step": 291
|
394 |
},
|
395 |
{
|
396 |
"epoch": 4.05,
|
397 |
-
"learning_rate":
|
398 |
-
"loss": 0.
|
399 |
"step": 295
|
400 |
},
|
401 |
{
|
402 |
"epoch": 4.12,
|
403 |
-
"learning_rate":
|
404 |
-
"loss": 0.
|
405 |
"step": 300
|
406 |
},
|
407 |
{
|
408 |
"epoch": 4.19,
|
409 |
-
"learning_rate":
|
410 |
-
"loss": 0.
|
411 |
"step": 305
|
412 |
},
|
413 |
{
|
414 |
"epoch": 4.26,
|
415 |
-
"learning_rate":
|
416 |
-
"loss": 0.
|
417 |
"step": 310
|
418 |
},
|
419 |
{
|
420 |
"epoch": 4.33,
|
421 |
-
"learning_rate":
|
422 |
-
"loss": 0.
|
423 |
"step": 315
|
424 |
},
|
425 |
{
|
426 |
"epoch": 4.4,
|
427 |
-
"learning_rate":
|
428 |
-
"loss": 0.
|
429 |
"step": 320
|
430 |
},
|
431 |
{
|
432 |
"epoch": 4.47,
|
433 |
-
"learning_rate":
|
434 |
-
"loss": 0.
|
435 |
"step": 325
|
436 |
},
|
437 |
{
|
438 |
"epoch": 4.54,
|
439 |
-
"learning_rate":
|
440 |
-
"loss": 0.
|
441 |
"step": 330
|
442 |
},
|
443 |
{
|
444 |
"epoch": 4.6,
|
445 |
-
"learning_rate":
|
446 |
-
"loss": 0.
|
447 |
"step": 335
|
448 |
},
|
449 |
{
|
450 |
"epoch": 4.67,
|
451 |
-
"learning_rate":
|
452 |
-
"loss": 0.
|
453 |
"step": 340
|
454 |
},
|
455 |
{
|
456 |
"epoch": 4.74,
|
457 |
-
"learning_rate": 2.
|
458 |
-
"loss": 0.
|
459 |
"step": 345
|
460 |
},
|
461 |
{
|
462 |
"epoch": 4.81,
|
463 |
-
"learning_rate":
|
464 |
-
"loss": 0.
|
465 |
"step": 350
|
466 |
},
|
467 |
{
|
468 |
"epoch": 4.88,
|
469 |
-
"learning_rate":
|
470 |
-
"loss": 0.
|
471 |
"step": 355
|
472 |
},
|
473 |
{
|
474 |
"epoch": 4.95,
|
475 |
-
"learning_rate":
|
476 |
-
"loss": 0.
|
477 |
"step": 360
|
478 |
},
|
479 |
{
|
480 |
-
"epoch": 4.
|
481 |
-
"eval_accuracy": 0.
|
482 |
-
"eval_loss": 0.
|
483 |
-
"eval_runtime": 6.
|
484 |
-
"eval_samples_per_second":
|
485 |
-
"eval_steps_per_second": 4.
|
486 |
-
"step":
|
487 |
-
},
|
488 |
-
{
|
489 |
-
"epoch": 5.02,
|
490 |
-
"learning_rate": 2.7391975308641977e-05,
|
491 |
-
"loss": 0.0944,
|
492 |
-
"step": 365
|
493 |
-
},
|
494 |
-
{
|
495 |
-
"epoch": 5.09,
|
496 |
-
"learning_rate": 2.700617283950617e-05,
|
497 |
-
"loss": 0.0553,
|
498 |
-
"step": 370
|
499 |
-
},
|
500 |
-
{
|
501 |
-
"epoch": 5.15,
|
502 |
-
"learning_rate": 2.6620370370370372e-05,
|
503 |
-
"loss": 0.0994,
|
504 |
-
"step": 375
|
505 |
-
},
|
506 |
-
{
|
507 |
-
"epoch": 5.22,
|
508 |
-
"learning_rate": 2.623456790123457e-05,
|
509 |
-
"loss": 0.0802,
|
510 |
-
"step": 380
|
511 |
-
},
|
512 |
-
{
|
513 |
-
"epoch": 5.29,
|
514 |
-
"learning_rate": 2.5848765432098764e-05,
|
515 |
-
"loss": 0.1078,
|
516 |
-
"step": 385
|
517 |
-
},
|
518 |
-
{
|
519 |
-
"epoch": 5.36,
|
520 |
-
"learning_rate": 2.5462962962962965e-05,
|
521 |
-
"loss": 0.0746,
|
522 |
-
"step": 390
|
523 |
-
},
|
524 |
-
{
|
525 |
-
"epoch": 5.43,
|
526 |
-
"learning_rate": 2.5077160493827162e-05,
|
527 |
-
"loss": 0.0987,
|
528 |
-
"step": 395
|
529 |
-
},
|
530 |
-
{
|
531 |
-
"epoch": 5.5,
|
532 |
-
"learning_rate": 2.4691358024691357e-05,
|
533 |
-
"loss": 0.0885,
|
534 |
-
"step": 400
|
535 |
-
},
|
536 |
-
{
|
537 |
-
"epoch": 5.57,
|
538 |
-
"learning_rate": 2.4305555555555558e-05,
|
539 |
-
"loss": 0.0873,
|
540 |
-
"step": 405
|
541 |
-
},
|
542 |
-
{
|
543 |
-
"epoch": 5.64,
|
544 |
-
"learning_rate": 2.3919753086419755e-05,
|
545 |
-
"loss": 0.0859,
|
546 |
-
"step": 410
|
547 |
-
},
|
548 |
-
{
|
549 |
-
"epoch": 5.7,
|
550 |
-
"learning_rate": 2.353395061728395e-05,
|
551 |
-
"loss": 0.0871,
|
552 |
-
"step": 415
|
553 |
-
},
|
554 |
-
{
|
555 |
-
"epoch": 5.77,
|
556 |
-
"learning_rate": 2.314814814814815e-05,
|
557 |
-
"loss": 0.0847,
|
558 |
-
"step": 420
|
559 |
-
},
|
560 |
-
{
|
561 |
-
"epoch": 5.84,
|
562 |
-
"learning_rate": 2.2762345679012348e-05,
|
563 |
-
"loss": 0.1074,
|
564 |
-
"step": 425
|
565 |
-
},
|
566 |
-
{
|
567 |
-
"epoch": 5.91,
|
568 |
-
"learning_rate": 2.2376543209876542e-05,
|
569 |
-
"loss": 0.1017,
|
570 |
-
"step": 430
|
571 |
-
},
|
572 |
-
{
|
573 |
-
"epoch": 5.98,
|
574 |
-
"learning_rate": 2.1990740740740743e-05,
|
575 |
-
"loss": 0.0804,
|
576 |
-
"step": 435
|
577 |
-
},
|
578 |
-
{
|
579 |
-
"epoch": 5.99,
|
580 |
-
"eval_accuracy": 0.9757751937984496,
|
581 |
-
"eval_loss": 0.08881077915430069,
|
582 |
-
"eval_runtime": 7.2471,
|
583 |
-
"eval_samples_per_second": 142.401,
|
584 |
-
"eval_steps_per_second": 4.554,
|
585 |
-
"step": 436
|
586 |
-
},
|
587 |
-
{
|
588 |
-
"epoch": 6.05,
|
589 |
-
"learning_rate": 2.1604938271604937e-05,
|
590 |
-
"loss": 0.0592,
|
591 |
-
"step": 440
|
592 |
-
},
|
593 |
-
{
|
594 |
-
"epoch": 6.12,
|
595 |
-
"learning_rate": 2.1219135802469135e-05,
|
596 |
-
"loss": 0.1185,
|
597 |
-
"step": 445
|
598 |
-
},
|
599 |
-
{
|
600 |
-
"epoch": 6.19,
|
601 |
-
"learning_rate": 2.0833333333333336e-05,
|
602 |
-
"loss": 0.0868,
|
603 |
-
"step": 450
|
604 |
-
},
|
605 |
-
{
|
606 |
-
"epoch": 6.25,
|
607 |
-
"learning_rate": 2.044753086419753e-05,
|
608 |
-
"loss": 0.0883,
|
609 |
-
"step": 455
|
610 |
-
},
|
611 |
-
{
|
612 |
-
"epoch": 6.32,
|
613 |
-
"learning_rate": 2.006172839506173e-05,
|
614 |
-
"loss": 0.0835,
|
615 |
-
"step": 460
|
616 |
-
},
|
617 |
-
{
|
618 |
-
"epoch": 6.39,
|
619 |
-
"learning_rate": 1.967592592592593e-05,
|
620 |
-
"loss": 0.0781,
|
621 |
-
"step": 465
|
622 |
-
},
|
623 |
-
{
|
624 |
-
"epoch": 6.46,
|
625 |
-
"learning_rate": 1.9290123456790123e-05,
|
626 |
-
"loss": 0.1039,
|
627 |
-
"step": 470
|
628 |
-
},
|
629 |
-
{
|
630 |
-
"epoch": 6.53,
|
631 |
-
"learning_rate": 1.8904320987654324e-05,
|
632 |
-
"loss": 0.0823,
|
633 |
-
"step": 475
|
634 |
-
},
|
635 |
-
{
|
636 |
-
"epoch": 6.6,
|
637 |
-
"learning_rate": 1.8518518518518518e-05,
|
638 |
-
"loss": 0.0842,
|
639 |
-
"step": 480
|
640 |
-
},
|
641 |
-
{
|
642 |
-
"epoch": 6.67,
|
643 |
-
"learning_rate": 1.8132716049382716e-05,
|
644 |
-
"loss": 0.0859,
|
645 |
-
"step": 485
|
646 |
-
},
|
647 |
-
{
|
648 |
-
"epoch": 6.74,
|
649 |
-
"learning_rate": 1.7746913580246917e-05,
|
650 |
-
"loss": 0.0751,
|
651 |
-
"step": 490
|
652 |
-
},
|
653 |
-
{
|
654 |
-
"epoch": 6.8,
|
655 |
-
"learning_rate": 1.736111111111111e-05,
|
656 |
-
"loss": 0.081,
|
657 |
-
"step": 495
|
658 |
-
},
|
659 |
-
{
|
660 |
-
"epoch": 6.87,
|
661 |
-
"learning_rate": 1.697530864197531e-05,
|
662 |
-
"loss": 0.1262,
|
663 |
-
"step": 500
|
664 |
-
},
|
665 |
-
{
|
666 |
-
"epoch": 6.94,
|
667 |
-
"learning_rate": 1.6589506172839506e-05,
|
668 |
-
"loss": 0.0722,
|
669 |
-
"step": 505
|
670 |
-
},
|
671 |
-
{
|
672 |
-
"epoch": 7.0,
|
673 |
-
"eval_accuracy": 0.9757751937984496,
|
674 |
-
"eval_loss": 0.08266593515872955,
|
675 |
-
"eval_runtime": 7.0856,
|
676 |
-
"eval_samples_per_second": 145.648,
|
677 |
-
"eval_steps_per_second": 4.657,
|
678 |
-
"step": 509
|
679 |
-
},
|
680 |
-
{
|
681 |
-
"epoch": 7.01,
|
682 |
-
"learning_rate": 1.6203703703703704e-05,
|
683 |
-
"loss": 0.1235,
|
684 |
-
"step": 510
|
685 |
-
},
|
686 |
-
{
|
687 |
-
"epoch": 7.08,
|
688 |
-
"learning_rate": 1.58179012345679e-05,
|
689 |
-
"loss": 0.0734,
|
690 |
-
"step": 515
|
691 |
-
},
|
692 |
-
{
|
693 |
-
"epoch": 7.15,
|
694 |
-
"learning_rate": 1.54320987654321e-05,
|
695 |
-
"loss": 0.0819,
|
696 |
-
"step": 520
|
697 |
-
},
|
698 |
-
{
|
699 |
-
"epoch": 7.22,
|
700 |
-
"learning_rate": 1.5046296296296297e-05,
|
701 |
-
"loss": 0.0916,
|
702 |
-
"step": 525
|
703 |
-
},
|
704 |
-
{
|
705 |
-
"epoch": 7.29,
|
706 |
-
"learning_rate": 1.4660493827160496e-05,
|
707 |
-
"loss": 0.0859,
|
708 |
-
"step": 530
|
709 |
-
},
|
710 |
-
{
|
711 |
-
"epoch": 7.35,
|
712 |
-
"learning_rate": 1.4274691358024692e-05,
|
713 |
-
"loss": 0.1009,
|
714 |
-
"step": 535
|
715 |
-
},
|
716 |
-
{
|
717 |
-
"epoch": 7.42,
|
718 |
-
"learning_rate": 1.388888888888889e-05,
|
719 |
-
"loss": 0.0996,
|
720 |
-
"step": 540
|
721 |
-
},
|
722 |
-
{
|
723 |
-
"epoch": 7.49,
|
724 |
-
"learning_rate": 1.3503086419753085e-05,
|
725 |
-
"loss": 0.1062,
|
726 |
-
"step": 545
|
727 |
-
},
|
728 |
-
{
|
729 |
-
"epoch": 7.56,
|
730 |
-
"learning_rate": 1.3117283950617285e-05,
|
731 |
-
"loss": 0.0759,
|
732 |
-
"step": 550
|
733 |
-
},
|
734 |
-
{
|
735 |
-
"epoch": 7.63,
|
736 |
-
"learning_rate": 1.2731481481481482e-05,
|
737 |
-
"loss": 0.0658,
|
738 |
-
"step": 555
|
739 |
-
},
|
740 |
-
{
|
741 |
-
"epoch": 7.7,
|
742 |
-
"learning_rate": 1.2345679012345678e-05,
|
743 |
-
"loss": 0.1081,
|
744 |
-
"step": 560
|
745 |
-
},
|
746 |
-
{
|
747 |
-
"epoch": 7.77,
|
748 |
-
"learning_rate": 1.1959876543209878e-05,
|
749 |
-
"loss": 0.0866,
|
750 |
-
"step": 565
|
751 |
-
},
|
752 |
-
{
|
753 |
-
"epoch": 7.84,
|
754 |
-
"learning_rate": 1.1574074074074075e-05,
|
755 |
-
"loss": 0.0783,
|
756 |
-
"step": 570
|
757 |
-
},
|
758 |
-
{
|
759 |
-
"epoch": 7.9,
|
760 |
-
"learning_rate": 1.1188271604938271e-05,
|
761 |
-
"loss": 0.0868,
|
762 |
-
"step": 575
|
763 |
-
},
|
764 |
-
{
|
765 |
-
"epoch": 7.97,
|
766 |
-
"learning_rate": 1.0802469135802469e-05,
|
767 |
-
"loss": 0.061,
|
768 |
-
"step": 580
|
769 |
-
},
|
770 |
-
{
|
771 |
-
"epoch": 8.0,
|
772 |
-
"eval_accuracy": 0.9757751937984496,
|
773 |
-
"eval_loss": 0.0899147242307663,
|
774 |
-
"eval_runtime": 6.5821,
|
775 |
-
"eval_samples_per_second": 156.788,
|
776 |
-
"eval_steps_per_second": 5.014,
|
777 |
-
"step": 582
|
778 |
-
},
|
779 |
-
{
|
780 |
-
"epoch": 8.04,
|
781 |
-
"learning_rate": 1.0416666666666668e-05,
|
782 |
-
"loss": 0.053,
|
783 |
-
"step": 585
|
784 |
-
},
|
785 |
-
{
|
786 |
-
"epoch": 8.11,
|
787 |
-
"learning_rate": 1.0030864197530866e-05,
|
788 |
-
"loss": 0.0749,
|
789 |
-
"step": 590
|
790 |
-
},
|
791 |
-
{
|
792 |
-
"epoch": 8.18,
|
793 |
-
"learning_rate": 9.645061728395062e-06,
|
794 |
-
"loss": 0.0607,
|
795 |
-
"step": 595
|
796 |
-
},
|
797 |
-
{
|
798 |
-
"epoch": 8.25,
|
799 |
-
"learning_rate": 9.259259259259259e-06,
|
800 |
-
"loss": 0.0772,
|
801 |
-
"step": 600
|
802 |
-
},
|
803 |
-
{
|
804 |
-
"epoch": 8.32,
|
805 |
-
"learning_rate": 8.873456790123458e-06,
|
806 |
-
"loss": 0.055,
|
807 |
-
"step": 605
|
808 |
-
},
|
809 |
-
{
|
810 |
-
"epoch": 8.38,
|
811 |
-
"learning_rate": 8.487654320987654e-06,
|
812 |
-
"loss": 0.0647,
|
813 |
-
"step": 610
|
814 |
-
},
|
815 |
-
{
|
816 |
-
"epoch": 8.45,
|
817 |
-
"learning_rate": 8.101851851851852e-06,
|
818 |
-
"loss": 0.1082,
|
819 |
-
"step": 615
|
820 |
-
},
|
821 |
-
{
|
822 |
-
"epoch": 8.52,
|
823 |
-
"learning_rate": 7.71604938271605e-06,
|
824 |
-
"loss": 0.09,
|
825 |
-
"step": 620
|
826 |
-
},
|
827 |
-
{
|
828 |
-
"epoch": 8.59,
|
829 |
-
"learning_rate": 7.330246913580248e-06,
|
830 |
-
"loss": 0.0739,
|
831 |
-
"step": 625
|
832 |
-
},
|
833 |
-
{
|
834 |
-
"epoch": 8.66,
|
835 |
-
"learning_rate": 6.944444444444445e-06,
|
836 |
-
"loss": 0.0632,
|
837 |
-
"step": 630
|
838 |
-
},
|
839 |
-
{
|
840 |
-
"epoch": 8.73,
|
841 |
-
"learning_rate": 6.558641975308642e-06,
|
842 |
-
"loss": 0.0662,
|
843 |
-
"step": 635
|
844 |
-
},
|
845 |
-
{
|
846 |
-
"epoch": 8.8,
|
847 |
-
"learning_rate": 6.172839506172839e-06,
|
848 |
-
"loss": 0.0691,
|
849 |
-
"step": 640
|
850 |
-
},
|
851 |
-
{
|
852 |
-
"epoch": 8.87,
|
853 |
-
"learning_rate": 5.787037037037038e-06,
|
854 |
-
"loss": 0.0745,
|
855 |
-
"step": 645
|
856 |
-
},
|
857 |
-
{
|
858 |
-
"epoch": 8.93,
|
859 |
-
"learning_rate": 5.401234567901234e-06,
|
860 |
-
"loss": 0.0706,
|
861 |
-
"step": 650
|
862 |
-
},
|
863 |
-
{
|
864 |
-
"epoch": 8.99,
|
865 |
-
"eval_accuracy": 0.9757751937984496,
|
866 |
-
"eval_loss": 0.09157940745353699,
|
867 |
-
"eval_runtime": 6.6599,
|
868 |
-
"eval_samples_per_second": 154.957,
|
869 |
-
"eval_steps_per_second": 4.955,
|
870 |
-
"step": 654
|
871 |
-
},
|
872 |
-
{
|
873 |
-
"epoch": 9.0,
|
874 |
-
"learning_rate": 5.015432098765433e-06,
|
875 |
-
"loss": 0.0871,
|
876 |
-
"step": 655
|
877 |
-
},
|
878 |
-
{
|
879 |
-
"epoch": 9.07,
|
880 |
-
"learning_rate": 4.6296296296296296e-06,
|
881 |
-
"loss": 0.101,
|
882 |
-
"step": 660
|
883 |
-
},
|
884 |
-
{
|
885 |
-
"epoch": 9.14,
|
886 |
-
"learning_rate": 4.243827160493827e-06,
|
887 |
-
"loss": 0.0738,
|
888 |
-
"step": 665
|
889 |
-
},
|
890 |
-
{
|
891 |
-
"epoch": 9.21,
|
892 |
-
"learning_rate": 3.858024691358025e-06,
|
893 |
-
"loss": 0.0803,
|
894 |
-
"step": 670
|
895 |
-
},
|
896 |
-
{
|
897 |
-
"epoch": 9.28,
|
898 |
-
"learning_rate": 3.4722222222222224e-06,
|
899 |
-
"loss": 0.0787,
|
900 |
-
"step": 675
|
901 |
-
},
|
902 |
-
{
|
903 |
-
"epoch": 9.35,
|
904 |
-
"learning_rate": 3.0864197530864196e-06,
|
905 |
-
"loss": 0.0661,
|
906 |
-
"step": 680
|
907 |
-
},
|
908 |
-
{
|
909 |
-
"epoch": 9.42,
|
910 |
-
"learning_rate": 2.700617283950617e-06,
|
911 |
-
"loss": 0.055,
|
912 |
-
"step": 685
|
913 |
-
},
|
914 |
-
{
|
915 |
-
"epoch": 9.48,
|
916 |
-
"learning_rate": 2.3148148148148148e-06,
|
917 |
-
"loss": 0.0752,
|
918 |
-
"step": 690
|
919 |
-
},
|
920 |
-
{
|
921 |
-
"epoch": 9.55,
|
922 |
-
"learning_rate": 1.9290123456790124e-06,
|
923 |
-
"loss": 0.0933,
|
924 |
-
"step": 695
|
925 |
-
},
|
926 |
-
{
|
927 |
-
"epoch": 9.62,
|
928 |
-
"learning_rate": 1.5432098765432098e-06,
|
929 |
-
"loss": 0.1046,
|
930 |
-
"step": 700
|
931 |
-
},
|
932 |
-
{
|
933 |
-
"epoch": 9.69,
|
934 |
-
"learning_rate": 1.1574074074074074e-06,
|
935 |
-
"loss": 0.0467,
|
936 |
-
"step": 705
|
937 |
-
},
|
938 |
-
{
|
939 |
-
"epoch": 9.76,
|
940 |
-
"learning_rate": 7.716049382716049e-07,
|
941 |
-
"loss": 0.0739,
|
942 |
-
"step": 710
|
943 |
-
},
|
944 |
-
{
|
945 |
-
"epoch": 9.83,
|
946 |
-
"learning_rate": 3.8580246913580245e-07,
|
947 |
-
"loss": 0.068,
|
948 |
-
"step": 715
|
949 |
},
|
950 |
{
|
951 |
-
"epoch":
|
952 |
-
"
|
953 |
-
"
|
954 |
-
"
|
955 |
-
|
956 |
-
|
957 |
-
"
|
958 |
-
"eval_accuracy": 0.9757751937984496,
|
959 |
-
"eval_loss": 0.09366881847381592,
|
960 |
-
"eval_runtime": 6.8299,
|
961 |
-
"eval_samples_per_second": 151.1,
|
962 |
-
"eval_steps_per_second": 4.832,
|
963 |
-
"step": 720
|
964 |
-
},
|
965 |
-
{
|
966 |
-
"epoch": 9.9,
|
967 |
-
"step": 720,
|
968 |
-
"total_flos": 2.2837931240094351e+18,
|
969 |
-
"train_loss": 0.11106966810507907,
|
970 |
-
"train_runtime": 1435.0993,
|
971 |
-
"train_samples_per_second": 64.671,
|
972 |
-
"train_steps_per_second": 0.502
|
973 |
}
|
974 |
],
|
975 |
"logging_steps": 5,
|
976 |
-
"max_steps":
|
977 |
-
"num_train_epochs":
|
978 |
"save_steps": 500,
|
979 |
-
"total_flos":
|
980 |
"trial_name": null,
|
981 |
"trial_params": null
|
982 |
}
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.9738372093023255,
|
3 |
+
"best_model_checkpoint": "swin-tiny-patch4-window7-224-blank_img/checkpoint-360",
|
4 |
+
"epoch": 4.948453608247423,
|
5 |
"eval_steps": 500,
|
6 |
+
"global_step": 360,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.07,
|
13 |
+
"learning_rate": 6.944444444444445e-06,
|
14 |
+
"loss": 0.0881,
|
15 |
"step": 5
|
16 |
},
|
17 |
{
|
18 |
"epoch": 0.14,
|
19 |
+
"learning_rate": 1.388888888888889e-05,
|
20 |
+
"loss": 0.0624,
|
21 |
"step": 10
|
22 |
},
|
23 |
{
|
24 |
"epoch": 0.21,
|
25 |
+
"learning_rate": 2.0833333333333336e-05,
|
26 |
+
"loss": 0.063,
|
27 |
"step": 15
|
28 |
},
|
29 |
{
|
30 |
"epoch": 0.27,
|
31 |
+
"learning_rate": 2.777777777777778e-05,
|
32 |
+
"loss": 0.0901,
|
33 |
"step": 20
|
34 |
},
|
35 |
{
|
36 |
"epoch": 0.34,
|
37 |
+
"learning_rate": 3.472222222222222e-05,
|
38 |
+
"loss": 0.0872,
|
39 |
"step": 25
|
40 |
},
|
41 |
{
|
42 |
"epoch": 0.41,
|
43 |
+
"learning_rate": 4.166666666666667e-05,
|
44 |
+
"loss": 0.1016,
|
45 |
"step": 30
|
46 |
},
|
47 |
{
|
48 |
"epoch": 0.48,
|
49 |
+
"learning_rate": 4.8611111111111115e-05,
|
50 |
+
"loss": 0.0905,
|
51 |
"step": 35
|
52 |
},
|
53 |
{
|
54 |
"epoch": 0.55,
|
55 |
+
"learning_rate": 4.938271604938271e-05,
|
56 |
+
"loss": 0.1495,
|
57 |
"step": 40
|
58 |
},
|
59 |
{
|
60 |
"epoch": 0.62,
|
61 |
+
"learning_rate": 4.8611111111111115e-05,
|
62 |
+
"loss": 0.0949,
|
63 |
"step": 45
|
64 |
},
|
65 |
{
|
66 |
"epoch": 0.69,
|
67 |
+
"learning_rate": 4.783950617283951e-05,
|
68 |
+
"loss": 0.1178,
|
69 |
"step": 50
|
70 |
},
|
71 |
{
|
72 |
"epoch": 0.76,
|
73 |
+
"learning_rate": 4.70679012345679e-05,
|
74 |
+
"loss": 0.08,
|
75 |
"step": 55
|
76 |
},
|
77 |
{
|
78 |
"epoch": 0.82,
|
79 |
+
"learning_rate": 4.62962962962963e-05,
|
80 |
+
"loss": 0.0919,
|
81 |
"step": 60
|
82 |
},
|
83 |
{
|
84 |
"epoch": 0.89,
|
85 |
+
"learning_rate": 4.5524691358024696e-05,
|
86 |
+
"loss": 0.0773,
|
87 |
"step": 65
|
88 |
},
|
89 |
{
|
90 |
"epoch": 0.96,
|
91 |
+
"learning_rate": 4.4753086419753084e-05,
|
92 |
+
"loss": 0.0502,
|
93 |
"step": 70
|
94 |
},
|
95 |
{
|
96 |
"epoch": 0.99,
|
97 |
+
"eval_accuracy": 0.9651162790697675,
|
98 |
+
"eval_loss": 0.12999847531318665,
|
99 |
+
"eval_runtime": 6.6038,
|
100 |
+
"eval_samples_per_second": 156.273,
|
101 |
+
"eval_steps_per_second": 4.997,
|
102 |
"step": 72
|
103 |
},
|
104 |
{
|
105 |
"epoch": 1.03,
|
106 |
+
"learning_rate": 4.3981481481481486e-05,
|
107 |
+
"loss": 0.0838,
|
108 |
"step": 75
|
109 |
},
|
110 |
{
|
111 |
"epoch": 1.1,
|
112 |
+
"learning_rate": 4.3209876543209875e-05,
|
113 |
+
"loss": 0.067,
|
114 |
"step": 80
|
115 |
},
|
116 |
{
|
117 |
"epoch": 1.17,
|
118 |
+
"learning_rate": 4.243827160493827e-05,
|
119 |
+
"loss": 0.0932,
|
120 |
"step": 85
|
121 |
},
|
122 |
{
|
123 |
"epoch": 1.24,
|
124 |
+
"learning_rate": 4.166666666666667e-05,
|
125 |
+
"loss": 0.1037,
|
126 |
"step": 90
|
127 |
},
|
128 |
{
|
129 |
"epoch": 1.31,
|
130 |
+
"learning_rate": 4.089506172839506e-05,
|
131 |
+
"loss": 0.1057,
|
132 |
"step": 95
|
133 |
},
|
134 |
{
|
135 |
"epoch": 1.37,
|
136 |
+
"learning_rate": 4.012345679012346e-05,
|
137 |
+
"loss": 0.0774,
|
138 |
"step": 100
|
139 |
},
|
140 |
{
|
141 |
"epoch": 1.44,
|
142 |
+
"learning_rate": 3.935185185185186e-05,
|
143 |
+
"loss": 0.1107,
|
144 |
"step": 105
|
145 |
},
|
146 |
{
|
147 |
"epoch": 1.51,
|
148 |
+
"learning_rate": 3.8580246913580246e-05,
|
149 |
+
"loss": 0.1109,
|
150 |
"step": 110
|
151 |
},
|
152 |
{
|
153 |
"epoch": 1.58,
|
154 |
+
"learning_rate": 3.780864197530865e-05,
|
155 |
+
"loss": 0.1078,
|
156 |
"step": 115
|
157 |
},
|
158 |
{
|
159 |
"epoch": 1.65,
|
160 |
+
"learning_rate": 3.7037037037037037e-05,
|
161 |
+
"loss": 0.0935,
|
162 |
"step": 120
|
163 |
},
|
164 |
{
|
165 |
"epoch": 1.72,
|
166 |
+
"learning_rate": 3.626543209876543e-05,
|
167 |
+
"loss": 0.0741,
|
168 |
"step": 125
|
169 |
},
|
170 |
{
|
171 |
"epoch": 1.79,
|
172 |
+
"learning_rate": 3.5493827160493834e-05,
|
173 |
+
"loss": 0.1031,
|
174 |
"step": 130
|
175 |
},
|
176 |
{
|
177 |
"epoch": 1.86,
|
178 |
+
"learning_rate": 3.472222222222222e-05,
|
179 |
+
"loss": 0.0638,
|
180 |
"step": 135
|
181 |
},
|
182 |
{
|
183 |
"epoch": 1.92,
|
184 |
+
"learning_rate": 3.395061728395062e-05,
|
185 |
+
"loss": 0.0915,
|
186 |
"step": 140
|
187 |
},
|
188 |
{
|
189 |
"epoch": 1.99,
|
190 |
+
"learning_rate": 3.317901234567901e-05,
|
191 |
+
"loss": 0.1107,
|
192 |
"step": 145
|
193 |
},
|
194 |
{
|
195 |
"epoch": 1.99,
|
196 |
+
"eval_accuracy": 0.9728682170542635,
|
197 |
+
"eval_loss": 0.10234300047159195,
|
198 |
+
"eval_runtime": 7.16,
|
199 |
+
"eval_samples_per_second": 144.135,
|
200 |
+
"eval_steps_per_second": 4.609,
|
201 |
"step": 145
|
202 |
},
|
203 |
{
|
204 |
"epoch": 2.06,
|
205 |
+
"learning_rate": 3.240740740740741e-05,
|
206 |
+
"loss": 0.0784,
|
207 |
"step": 150
|
208 |
},
|
209 |
{
|
210 |
"epoch": 2.13,
|
211 |
+
"learning_rate": 3.16358024691358e-05,
|
212 |
+
"loss": 0.0672,
|
213 |
"step": 155
|
214 |
},
|
215 |
{
|
216 |
"epoch": 2.2,
|
217 |
+
"learning_rate": 3.08641975308642e-05,
|
218 |
+
"loss": 0.0598,
|
219 |
"step": 160
|
220 |
},
|
221 |
{
|
222 |
"epoch": 2.27,
|
223 |
+
"learning_rate": 3.0092592592592593e-05,
|
224 |
+
"loss": 0.0641,
|
225 |
"step": 165
|
226 |
},
|
227 |
{
|
228 |
"epoch": 2.34,
|
229 |
+
"learning_rate": 2.9320987654320992e-05,
|
230 |
+
"loss": 0.0805,
|
231 |
"step": 170
|
232 |
},
|
233 |
{
|
234 |
"epoch": 2.41,
|
235 |
+
"learning_rate": 2.8549382716049384e-05,
|
236 |
+
"loss": 0.0864,
|
237 |
"step": 175
|
238 |
},
|
239 |
{
|
240 |
"epoch": 2.47,
|
241 |
+
"learning_rate": 2.777777777777778e-05,
|
242 |
+
"loss": 0.0954,
|
243 |
"step": 180
|
244 |
},
|
245 |
{
|
246 |
"epoch": 2.54,
|
247 |
+
"learning_rate": 2.700617283950617e-05,
|
248 |
+
"loss": 0.0717,
|
249 |
"step": 185
|
250 |
},
|
251 |
{
|
252 |
"epoch": 2.61,
|
253 |
+
"learning_rate": 2.623456790123457e-05,
|
254 |
+
"loss": 0.0634,
|
255 |
"step": 190
|
256 |
},
|
257 |
{
|
258 |
"epoch": 2.68,
|
259 |
+
"learning_rate": 2.5462962962962965e-05,
|
260 |
+
"loss": 0.1082,
|
261 |
"step": 195
|
262 |
},
|
263 |
{
|
264 |
"epoch": 2.75,
|
265 |
+
"learning_rate": 2.4691358024691357e-05,
|
266 |
+
"loss": 0.0748,
|
267 |
"step": 200
|
268 |
},
|
269 |
{
|
270 |
"epoch": 2.82,
|
271 |
+
"learning_rate": 2.3919753086419755e-05,
|
272 |
+
"loss": 0.1221,
|
273 |
"step": 205
|
274 |
},
|
275 |
{
|
276 |
"epoch": 2.89,
|
277 |
+
"learning_rate": 2.314814814814815e-05,
|
278 |
+
"loss": 0.0757,
|
279 |
"step": 210
|
280 |
},
|
281 |
{
|
282 |
"epoch": 2.96,
|
283 |
+
"learning_rate": 2.2376543209876542e-05,
|
284 |
+
"loss": 0.0917,
|
285 |
"step": 215
|
286 |
},
|
287 |
{
|
288 |
"epoch": 3.0,
|
289 |
+
"eval_accuracy": 0.9651162790697675,
|
290 |
+
"eval_loss": 0.12774048745632172,
|
291 |
+
"eval_runtime": 6.6558,
|
292 |
+
"eval_samples_per_second": 155.053,
|
293 |
+
"eval_steps_per_second": 4.958,
|
294 |
"step": 218
|
295 |
},
|
296 |
{
|
297 |
"epoch": 3.02,
|
298 |
+
"learning_rate": 2.1604938271604937e-05,
|
299 |
+
"loss": 0.0553,
|
300 |
"step": 220
|
301 |
},
|
302 |
{
|
303 |
"epoch": 3.09,
|
304 |
+
"learning_rate": 2.0833333333333336e-05,
|
305 |
+
"loss": 0.0942,
|
306 |
"step": 225
|
307 |
},
|
308 |
{
|
309 |
"epoch": 3.16,
|
310 |
+
"learning_rate": 2.006172839506173e-05,
|
311 |
+
"loss": 0.0834,
|
312 |
"step": 230
|
313 |
},
|
314 |
{
|
315 |
"epoch": 3.23,
|
316 |
+
"learning_rate": 1.9290123456790123e-05,
|
317 |
+
"loss": 0.057,
|
318 |
"step": 235
|
319 |
},
|
320 |
{
|
321 |
"epoch": 3.3,
|
322 |
+
"learning_rate": 1.8518518518518518e-05,
|
323 |
+
"loss": 0.0773,
|
324 |
"step": 240
|
325 |
},
|
326 |
{
|
327 |
"epoch": 3.37,
|
328 |
+
"learning_rate": 1.7746913580246917e-05,
|
329 |
+
"loss": 0.0617,
|
330 |
"step": 245
|
331 |
},
|
332 |
{
|
333 |
"epoch": 3.44,
|
334 |
+
"learning_rate": 1.697530864197531e-05,
|
335 |
+
"loss": 0.0785,
|
336 |
"step": 250
|
337 |
},
|
338 |
{
|
339 |
"epoch": 3.51,
|
340 |
+
"learning_rate": 1.6203703703703704e-05,
|
341 |
+
"loss": 0.057,
|
342 |
"step": 255
|
343 |
},
|
344 |
{
|
345 |
"epoch": 3.57,
|
346 |
+
"learning_rate": 1.54320987654321e-05,
|
347 |
+
"loss": 0.0746,
|
348 |
"step": 260
|
349 |
},
|
350 |
{
|
351 |
"epoch": 3.64,
|
352 |
+
"learning_rate": 1.4660493827160496e-05,
|
353 |
+
"loss": 0.1117,
|
354 |
"step": 265
|
355 |
},
|
356 |
{
|
357 |
"epoch": 3.71,
|
358 |
+
"learning_rate": 1.388888888888889e-05,
|
359 |
+
"loss": 0.0923,
|
360 |
"step": 270
|
361 |
},
|
362 |
{
|
363 |
"epoch": 3.78,
|
364 |
+
"learning_rate": 1.3117283950617285e-05,
|
365 |
+
"loss": 0.0599,
|
366 |
"step": 275
|
367 |
},
|
368 |
{
|
369 |
"epoch": 3.85,
|
370 |
+
"learning_rate": 1.2345679012345678e-05,
|
371 |
+
"loss": 0.0895,
|
372 |
"step": 280
|
373 |
},
|
374 |
{
|
375 |
"epoch": 3.92,
|
376 |
+
"learning_rate": 1.1574074074074075e-05,
|
377 |
+
"loss": 0.0933,
|
378 |
"step": 285
|
379 |
},
|
380 |
{
|
381 |
"epoch": 3.99,
|
382 |
+
"learning_rate": 1.0802469135802469e-05,
|
383 |
+
"loss": 0.1022,
|
384 |
"step": 290
|
385 |
},
|
386 |
{
|
387 |
"epoch": 4.0,
|
388 |
+
"eval_accuracy": 0.9718992248062015,
|
389 |
+
"eval_loss": 0.12579788267612457,
|
390 |
+
"eval_runtime": 7.0589,
|
391 |
+
"eval_samples_per_second": 146.199,
|
392 |
+
"eval_steps_per_second": 4.675,
|
393 |
"step": 291
|
394 |
},
|
395 |
{
|
396 |
"epoch": 4.05,
|
397 |
+
"learning_rate": 1.0030864197530866e-05,
|
398 |
+
"loss": 0.0889,
|
399 |
"step": 295
|
400 |
},
|
401 |
{
|
402 |
"epoch": 4.12,
|
403 |
+
"learning_rate": 9.259259259259259e-06,
|
404 |
+
"loss": 0.088,
|
405 |
"step": 300
|
406 |
},
|
407 |
{
|
408 |
"epoch": 4.19,
|
409 |
+
"learning_rate": 8.487654320987654e-06,
|
410 |
+
"loss": 0.0679,
|
411 |
"step": 305
|
412 |
},
|
413 |
{
|
414 |
"epoch": 4.26,
|
415 |
+
"learning_rate": 7.71604938271605e-06,
|
416 |
+
"loss": 0.0632,
|
417 |
"step": 310
|
418 |
},
|
419 |
{
|
420 |
"epoch": 4.33,
|
421 |
+
"learning_rate": 6.944444444444445e-06,
|
422 |
+
"loss": 0.095,
|
423 |
"step": 315
|
424 |
},
|
425 |
{
|
426 |
"epoch": 4.4,
|
427 |
+
"learning_rate": 6.172839506172839e-06,
|
428 |
+
"loss": 0.084,
|
429 |
"step": 320
|
430 |
},
|
431 |
{
|
432 |
"epoch": 4.47,
|
433 |
+
"learning_rate": 5.401234567901234e-06,
|
434 |
+
"loss": 0.07,
|
435 |
"step": 325
|
436 |
},
|
437 |
{
|
438 |
"epoch": 4.54,
|
439 |
+
"learning_rate": 4.6296296296296296e-06,
|
440 |
+
"loss": 0.0692,
|
441 |
"step": 330
|
442 |
},
|
443 |
{
|
444 |
"epoch": 4.6,
|
445 |
+
"learning_rate": 3.858024691358025e-06,
|
446 |
+
"loss": 0.0575,
|
447 |
"step": 335
|
448 |
},
|
449 |
{
|
450 |
"epoch": 4.67,
|
451 |
+
"learning_rate": 3.0864197530864196e-06,
|
452 |
+
"loss": 0.0625,
|
453 |
"step": 340
|
454 |
},
|
455 |
{
|
456 |
"epoch": 4.74,
|
457 |
+
"learning_rate": 2.3148148148148148e-06,
|
458 |
+
"loss": 0.0715,
|
459 |
"step": 345
|
460 |
},
|
461 |
{
|
462 |
"epoch": 4.81,
|
463 |
+
"learning_rate": 1.5432098765432098e-06,
|
464 |
+
"loss": 0.0651,
|
465 |
"step": 350
|
466 |
},
|
467 |
{
|
468 |
"epoch": 4.88,
|
469 |
+
"learning_rate": 7.716049382716049e-07,
|
470 |
+
"loss": 0.1432,
|
471 |
"step": 355
|
472 |
},
|
473 |
{
|
474 |
"epoch": 4.95,
|
475 |
+
"learning_rate": 0.0,
|
476 |
+
"loss": 0.0888,
|
477 |
"step": 360
|
478 |
},
|
479 |
{
|
480 |
+
"epoch": 4.95,
|
481 |
+
"eval_accuracy": 0.9738372093023255,
|
482 |
+
"eval_loss": 0.10162452608346939,
|
483 |
+
"eval_runtime": 6.9642,
|
484 |
+
"eval_samples_per_second": 148.186,
|
485 |
+
"eval_steps_per_second": 4.739,
|
486 |
+
"step": 360
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
487 |
},
|
488 |
{
|
489 |
+
"epoch": 4.95,
|
490 |
+
"step": 360,
|
491 |
+
"total_flos": 1.1422818298339983e+18,
|
492 |
+
"train_loss": 0.08449313590923944,
|
493 |
+
"train_runtime": 710.4711,
|
494 |
+
"train_samples_per_second": 65.316,
|
495 |
+
"train_steps_per_second": 0.507
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
496 |
}
|
497 |
],
|
498 |
"logging_steps": 5,
|
499 |
+
"max_steps": 360,
|
500 |
+
"num_train_epochs": 5,
|
501 |
"save_steps": 500,
|
502 |
+
"total_flos": 1.1422818298339983e+18,
|
503 |
"trial_name": null,
|
504 |
"trial_params": null
|
505 |
}
|