End of training
Browse files- all_results.json +10 -10
- eval_results.json +6 -6
- train_results.json +5 -5
- trainer_state.json +1733 -452
all_results.json
CHANGED
@@ -1,13 +1,13 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime": 44.
|
6 |
-
"eval_samples_per_second":
|
7 |
-
"eval_steps_per_second": 4.
|
8 |
-
"total_flos":
|
9 |
-
"train_loss": 0.
|
10 |
-
"train_runtime":
|
11 |
-
"train_samples_per_second": 60.
|
12 |
"train_steps_per_second": 0.475
|
13 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 9.99,
|
3 |
+
"eval_accuracy": 0.7794067507671326,
|
4 |
+
"eval_loss": 0.45381179451942444,
|
5 |
+
"eval_runtime": 44.0429,
|
6 |
+
"eval_samples_per_second": 133.188,
|
7 |
+
"eval_steps_per_second": 4.178,
|
8 |
+
"total_flos": 1.3106102295963156e+19,
|
9 |
+
"train_loss": 0.3501510629954847,
|
10 |
+
"train_runtime": 8665.4247,
|
11 |
+
"train_samples_per_second": 60.918,
|
12 |
"train_steps_per_second": 0.475
|
13 |
}
|
eval_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime": 44.
|
6 |
-
"eval_samples_per_second":
|
7 |
-
"eval_steps_per_second": 4.
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 9.99,
|
3 |
+
"eval_accuracy": 0.7794067507671326,
|
4 |
+
"eval_loss": 0.45381179451942444,
|
5 |
+
"eval_runtime": 44.0429,
|
6 |
+
"eval_samples_per_second": 133.188,
|
7 |
+
"eval_steps_per_second": 4.178
|
8 |
}
|
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": 60.
|
7 |
"train_steps_per_second": 0.475
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 9.99,
|
3 |
+
"total_flos": 1.3106102295963156e+19,
|
4 |
+
"train_loss": 0.3501510629954847,
|
5 |
+
"train_runtime": 8665.4247,
|
6 |
+
"train_samples_per_second": 60.918,
|
7 |
"train_steps_per_second": 0.475
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,1309 +1,2590 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
-
"best_model_checkpoint": "swin-tiny-patch4-window7-224-img_orientation/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": 0.02,
|
13 |
-
"learning_rate":
|
14 |
-
"loss": 0.
|
15 |
"step": 10
|
16 |
},
|
17 |
{
|
18 |
"epoch": 0.05,
|
19 |
-
"learning_rate":
|
20 |
-
"loss": 0.
|
21 |
"step": 20
|
22 |
},
|
23 |
{
|
24 |
"epoch": 0.07,
|
25 |
-
"learning_rate":
|
26 |
-
"loss": 0.
|
27 |
"step": 30
|
28 |
},
|
29 |
{
|
30 |
"epoch": 0.1,
|
31 |
-
"learning_rate":
|
32 |
-
"loss": 0.
|
33 |
"step": 40
|
34 |
},
|
35 |
{
|
36 |
"epoch": 0.12,
|
37 |
-
"learning_rate":
|
38 |
-
"loss": 0.
|
39 |
"step": 50
|
40 |
},
|
41 |
{
|
42 |
"epoch": 0.15,
|
43 |
-
"learning_rate":
|
44 |
-
"loss": 0.
|
45 |
"step": 60
|
46 |
},
|
47 |
{
|
48 |
"epoch": 0.17,
|
49 |
-
"learning_rate":
|
50 |
-
"loss": 0.
|
51 |
"step": 70
|
52 |
},
|
53 |
{
|
54 |
"epoch": 0.19,
|
55 |
-
"learning_rate":
|
56 |
-
"loss": 0.
|
57 |
"step": 80
|
58 |
},
|
59 |
{
|
60 |
"epoch": 0.22,
|
61 |
-
"learning_rate":
|
62 |
-
"loss": 0.
|
63 |
"step": 90
|
64 |
},
|
65 |
{
|
66 |
"epoch": 0.24,
|
67 |
-
"learning_rate":
|
68 |
-
"loss": 0.
|
69 |
"step": 100
|
70 |
},
|
71 |
{
|
72 |
"epoch": 0.27,
|
73 |
-
"learning_rate":
|
74 |
-
"loss": 0.
|
75 |
"step": 110
|
76 |
},
|
77 |
{
|
78 |
"epoch": 0.29,
|
79 |
-
"learning_rate":
|
80 |
-
"loss": 0.
|
81 |
"step": 120
|
82 |
},
|
83 |
{
|
84 |
"epoch": 0.32,
|
85 |
-
"learning_rate":
|
86 |
-
"loss": 0.
|
87 |
"step": 130
|
88 |
},
|
89 |
{
|
90 |
"epoch": 0.34,
|
91 |
-
"learning_rate":
|
92 |
-
"loss": 0.
|
93 |
"step": 140
|
94 |
},
|
95 |
{
|
96 |
"epoch": 0.36,
|
97 |
-
"learning_rate":
|
98 |
-
"loss": 0.
|
99 |
"step": 150
|
100 |
},
|
101 |
{
|
102 |
"epoch": 0.39,
|
103 |
-
"learning_rate":
|
104 |
-
"loss": 0.
|
105 |
"step": 160
|
106 |
},
|
107 |
{
|
108 |
"epoch": 0.41,
|
109 |
-
"learning_rate":
|
110 |
-
"loss": 0.
|
111 |
"step": 170
|
112 |
},
|
113 |
{
|
114 |
"epoch": 0.44,
|
115 |
-
"learning_rate":
|
116 |
-
"loss": 0.
|
117 |
"step": 180
|
118 |
},
|
119 |
{
|
120 |
"epoch": 0.46,
|
121 |
-
"learning_rate":
|
122 |
-
"loss": 0.
|
123 |
"step": 190
|
124 |
},
|
125 |
{
|
126 |
"epoch": 0.48,
|
127 |
-
"learning_rate":
|
128 |
-
"loss": 0.
|
129 |
"step": 200
|
130 |
},
|
131 |
{
|
132 |
"epoch": 0.51,
|
133 |
-
"learning_rate":
|
134 |
-
"loss": 0.
|
135 |
"step": 210
|
136 |
},
|
137 |
{
|
138 |
"epoch": 0.53,
|
139 |
-
"learning_rate":
|
140 |
-
"loss": 0.
|
141 |
"step": 220
|
142 |
},
|
143 |
{
|
144 |
"epoch": 0.56,
|
145 |
-
"learning_rate":
|
146 |
-
"loss": 0.
|
147 |
"step": 230
|
148 |
},
|
149 |
{
|
150 |
"epoch": 0.58,
|
151 |
-
"learning_rate":
|
152 |
-
"loss": 0.
|
153 |
"step": 240
|
154 |
},
|
155 |
{
|
156 |
"epoch": 0.61,
|
157 |
-
"learning_rate":
|
158 |
-
"loss": 0.
|
159 |
"step": 250
|
160 |
},
|
161 |
{
|
162 |
"epoch": 0.63,
|
163 |
-
"learning_rate":
|
164 |
-
"loss": 0.
|
165 |
"step": 260
|
166 |
},
|
167 |
{
|
168 |
"epoch": 0.65,
|
169 |
-
"learning_rate":
|
170 |
-
"loss": 0.
|
171 |
"step": 270
|
172 |
},
|
173 |
{
|
174 |
"epoch": 0.68,
|
175 |
-
"learning_rate":
|
176 |
-
"loss": 0.
|
177 |
"step": 280
|
178 |
},
|
179 |
{
|
180 |
"epoch": 0.7,
|
181 |
-
"learning_rate":
|
182 |
-
"loss": 0.
|
183 |
"step": 290
|
184 |
},
|
185 |
{
|
186 |
"epoch": 0.73,
|
187 |
-
"learning_rate":
|
188 |
-
"loss": 0.
|
189 |
"step": 300
|
190 |
},
|
191 |
{
|
192 |
"epoch": 0.75,
|
193 |
-
"learning_rate":
|
194 |
-
"loss": 0.
|
195 |
"step": 310
|
196 |
},
|
197 |
{
|
198 |
"epoch": 0.78,
|
199 |
-
"learning_rate":
|
200 |
-
"loss": 0.
|
201 |
"step": 320
|
202 |
},
|
203 |
{
|
204 |
"epoch": 0.8,
|
205 |
-
"learning_rate": 4.
|
206 |
-
"loss": 0.
|
207 |
"step": 330
|
208 |
},
|
209 |
{
|
210 |
"epoch": 0.82,
|
211 |
-
"learning_rate": 4.
|
212 |
-
"loss": 0.
|
213 |
"step": 340
|
214 |
},
|
215 |
{
|
216 |
"epoch": 0.85,
|
217 |
-
"learning_rate": 4.
|
218 |
-
"loss": 0.
|
219 |
"step": 350
|
220 |
},
|
221 |
{
|
222 |
"epoch": 0.87,
|
223 |
-
"learning_rate": 4.
|
224 |
-
"loss": 0.
|
225 |
"step": 360
|
226 |
},
|
227 |
{
|
228 |
"epoch": 0.9,
|
229 |
-
"learning_rate": 4.
|
230 |
-
"loss": 0.
|
231 |
"step": 370
|
232 |
},
|
233 |
{
|
234 |
"epoch": 0.92,
|
235 |
-
"learning_rate": 4.
|
236 |
-
"loss": 0.
|
237 |
"step": 380
|
238 |
},
|
239 |
{
|
240 |
"epoch": 0.95,
|
241 |
-
"learning_rate": 4.
|
242 |
-
"loss": 0.
|
243 |
"step": 390
|
244 |
},
|
245 |
{
|
246 |
"epoch": 0.97,
|
247 |
-
"learning_rate": 4.
|
248 |
-
"loss": 0.
|
249 |
"step": 400
|
250 |
},
|
251 |
{
|
252 |
"epoch": 0.99,
|
253 |
-
"learning_rate": 4.
|
254 |
-
"loss": 0.
|
255 |
"step": 410
|
256 |
},
|
257 |
{
|
258 |
"epoch": 1.0,
|
259 |
-
"eval_accuracy": 0.
|
260 |
-
"eval_loss": 0.
|
261 |
-
"eval_runtime": 44.
|
262 |
-
"eval_samples_per_second": 132.
|
263 |
-
"eval_steps_per_second": 4.
|
264 |
"step": 412
|
265 |
},
|
266 |
{
|
267 |
"epoch": 1.02,
|
268 |
-
"learning_rate": 4.
|
269 |
-
"loss": 0.
|
270 |
"step": 420
|
271 |
},
|
272 |
{
|
273 |
"epoch": 1.04,
|
274 |
-
"learning_rate": 4.
|
275 |
-
"loss": 0.
|
276 |
"step": 430
|
277 |
},
|
278 |
{
|
279 |
"epoch": 1.07,
|
280 |
-
"learning_rate": 4.
|
281 |
-
"loss": 0.
|
282 |
"step": 440
|
283 |
},
|
284 |
{
|
285 |
"epoch": 1.09,
|
286 |
-
"learning_rate": 4.
|
287 |
-
"loss": 0.
|
288 |
"step": 450
|
289 |
},
|
290 |
{
|
291 |
"epoch": 1.12,
|
292 |
-
"learning_rate": 4.
|
293 |
-
"loss": 0.
|
294 |
"step": 460
|
295 |
},
|
296 |
{
|
297 |
"epoch": 1.14,
|
298 |
-
"learning_rate": 4.
|
299 |
-
"loss": 0.
|
300 |
"step": 470
|
301 |
},
|
302 |
{
|
303 |
"epoch": 1.16,
|
304 |
-
"learning_rate": 4.
|
305 |
-
"loss": 0.
|
306 |
"step": 480
|
307 |
},
|
308 |
{
|
309 |
"epoch": 1.19,
|
310 |
-
"learning_rate": 4.
|
311 |
-
"loss": 0.
|
312 |
"step": 490
|
313 |
},
|
314 |
{
|
315 |
"epoch": 1.21,
|
316 |
-
"learning_rate": 4.
|
317 |
-
"loss": 0.
|
318 |
"step": 500
|
319 |
},
|
320 |
{
|
321 |
"epoch": 1.24,
|
322 |
-
"learning_rate": 4.
|
323 |
-
"loss": 0.
|
324 |
"step": 510
|
325 |
},
|
326 |
{
|
327 |
"epoch": 1.26,
|
328 |
-
"learning_rate": 4.
|
329 |
-
"loss": 0.
|
330 |
"step": 520
|
331 |
},
|
332 |
{
|
333 |
"epoch": 1.28,
|
334 |
-
"learning_rate": 4.
|
335 |
-
"loss": 0.
|
336 |
"step": 530
|
337 |
},
|
338 |
{
|
339 |
"epoch": 1.31,
|
340 |
-
"learning_rate": 4.
|
341 |
-
"loss": 0.
|
342 |
"step": 540
|
343 |
},
|
344 |
{
|
345 |
"epoch": 1.33,
|
346 |
-
"learning_rate": 4.
|
347 |
-
"loss": 0.
|
348 |
"step": 550
|
349 |
},
|
350 |
{
|
351 |
"epoch": 1.36,
|
352 |
-
"learning_rate": 4.
|
353 |
-
"loss": 0.
|
354 |
"step": 560
|
355 |
},
|
356 |
{
|
357 |
"epoch": 1.38,
|
358 |
-
"learning_rate": 4.
|
359 |
-
"loss": 0.
|
360 |
"step": 570
|
361 |
},
|
362 |
{
|
363 |
"epoch": 1.41,
|
364 |
-
"learning_rate":
|
365 |
-
"loss": 0.
|
366 |
"step": 580
|
367 |
},
|
368 |
{
|
369 |
"epoch": 1.43,
|
370 |
-
"learning_rate":
|
371 |
-
"loss": 0.
|
372 |
"step": 590
|
373 |
},
|
374 |
{
|
375 |
"epoch": 1.45,
|
376 |
-
"learning_rate":
|
377 |
-
"loss": 0.
|
378 |
"step": 600
|
379 |
},
|
380 |
{
|
381 |
"epoch": 1.48,
|
382 |
-
"learning_rate":
|
383 |
-
"loss": 0.
|
384 |
"step": 610
|
385 |
},
|
386 |
{
|
387 |
"epoch": 1.5,
|
388 |
-
"learning_rate":
|
389 |
-
"loss": 0.
|
390 |
"step": 620
|
391 |
},
|
392 |
{
|
393 |
"epoch": 1.53,
|
394 |
-
"learning_rate":
|
395 |
-
"loss": 0.
|
396 |
"step": 630
|
397 |
},
|
398 |
{
|
399 |
"epoch": 1.55,
|
400 |
-
"learning_rate":
|
401 |
-
"loss": 0.
|
402 |
"step": 640
|
403 |
},
|
404 |
{
|
405 |
"epoch": 1.58,
|
406 |
-
"learning_rate":
|
407 |
-
"loss": 0.
|
408 |
"step": 650
|
409 |
},
|
410 |
{
|
411 |
"epoch": 1.6,
|
412 |
-
"learning_rate":
|
413 |
-
"loss": 0.
|
414 |
"step": 660
|
415 |
},
|
416 |
{
|
417 |
"epoch": 1.62,
|
418 |
-
"learning_rate":
|
419 |
-
"loss": 0.
|
420 |
"step": 670
|
421 |
},
|
422 |
{
|
423 |
"epoch": 1.65,
|
424 |
-
"learning_rate":
|
425 |
-
"loss": 0.
|
426 |
"step": 680
|
427 |
},
|
428 |
{
|
429 |
"epoch": 1.67,
|
430 |
-
"learning_rate":
|
431 |
-
"loss": 0.
|
432 |
"step": 690
|
433 |
},
|
434 |
{
|
435 |
"epoch": 1.7,
|
436 |
-
"learning_rate":
|
437 |
-
"loss": 0.
|
438 |
"step": 700
|
439 |
},
|
440 |
{
|
441 |
"epoch": 1.72,
|
442 |
-
"learning_rate":
|
443 |
-
"loss": 0.
|
444 |
"step": 710
|
445 |
},
|
446 |
{
|
447 |
"epoch": 1.75,
|
448 |
-
"learning_rate":
|
449 |
-
"loss": 0.
|
450 |
"step": 720
|
451 |
},
|
452 |
{
|
453 |
"epoch": 1.77,
|
454 |
-
"learning_rate":
|
455 |
-
"loss": 0.
|
456 |
"step": 730
|
457 |
},
|
458 |
{
|
459 |
"epoch": 1.79,
|
460 |
-
"learning_rate":
|
461 |
-
"loss": 0.
|
462 |
"step": 740
|
463 |
},
|
464 |
{
|
465 |
"epoch": 1.82,
|
466 |
-
"learning_rate":
|
467 |
-
"loss": 0.
|
468 |
"step": 750
|
469 |
},
|
470 |
{
|
471 |
"epoch": 1.84,
|
472 |
-
"learning_rate":
|
473 |
-
"loss": 0.
|
474 |
"step": 760
|
475 |
},
|
476 |
{
|
477 |
"epoch": 1.87,
|
478 |
-
"learning_rate":
|
479 |
-
"loss": 0.
|
480 |
"step": 770
|
481 |
},
|
482 |
{
|
483 |
"epoch": 1.89,
|
484 |
-
"learning_rate":
|
485 |
-
"loss": 0.
|
486 |
"step": 780
|
487 |
},
|
488 |
{
|
489 |
"epoch": 1.92,
|
490 |
-
"learning_rate":
|
491 |
-
"loss": 0.
|
492 |
"step": 790
|
493 |
},
|
494 |
{
|
495 |
"epoch": 1.94,
|
496 |
-
"learning_rate":
|
497 |
-
"loss": 0.
|
498 |
"step": 800
|
499 |
},
|
500 |
{
|
501 |
"epoch": 1.96,
|
502 |
-
"learning_rate":
|
503 |
-
"loss": 0.
|
504 |
"step": 810
|
505 |
},
|
506 |
{
|
507 |
"epoch": 1.99,
|
508 |
-
"learning_rate":
|
509 |
-
"loss": 0.
|
510 |
"step": 820
|
511 |
},
|
512 |
{
|
513 |
"epoch": 2.0,
|
514 |
-
"eval_accuracy": 0.
|
515 |
-
"eval_loss": 0.
|
516 |
-
"eval_runtime": 44.
|
517 |
-
"eval_samples_per_second": 132.
|
518 |
-
"eval_steps_per_second": 4.
|
519 |
"step": 825
|
520 |
},
|
521 |
{
|
522 |
"epoch": 2.01,
|
523 |
-
"learning_rate":
|
524 |
-
"loss": 0.
|
525 |
"step": 830
|
526 |
},
|
527 |
{
|
528 |
"epoch": 2.04,
|
529 |
-
"learning_rate":
|
530 |
-
"loss": 0.
|
531 |
"step": 840
|
532 |
},
|
533 |
{
|
534 |
"epoch": 2.06,
|
535 |
-
"learning_rate":
|
536 |
-
"loss": 0.
|
537 |
"step": 850
|
538 |
},
|
539 |
{
|
540 |
"epoch": 2.08,
|
541 |
-
"learning_rate":
|
542 |
-
"loss": 0.
|
543 |
"step": 860
|
544 |
},
|
545 |
{
|
546 |
"epoch": 2.11,
|
547 |
-
"learning_rate":
|
548 |
-
"loss": 0.
|
549 |
"step": 870
|
550 |
},
|
551 |
{
|
552 |
"epoch": 2.13,
|
553 |
-
"learning_rate":
|
554 |
-
"loss": 0.
|
555 |
"step": 880
|
556 |
},
|
557 |
{
|
558 |
"epoch": 2.16,
|
559 |
-
"learning_rate":
|
560 |
-
"loss": 0.
|
561 |
"step": 890
|
562 |
},
|
563 |
{
|
564 |
"epoch": 2.18,
|
565 |
-
"learning_rate":
|
566 |
-
"loss": 0.
|
567 |
"step": 900
|
568 |
},
|
569 |
{
|
570 |
"epoch": 2.21,
|
571 |
-
"learning_rate":
|
572 |
-
"loss": 0.
|
573 |
"step": 910
|
574 |
},
|
575 |
{
|
576 |
"epoch": 2.23,
|
577 |
-
"learning_rate":
|
578 |
-
"loss": 0.
|
579 |
"step": 920
|
580 |
},
|
581 |
{
|
582 |
"epoch": 2.25,
|
583 |
-
"learning_rate":
|
584 |
-
"loss": 0.
|
585 |
"step": 930
|
586 |
},
|
587 |
{
|
588 |
"epoch": 2.28,
|
589 |
-
"learning_rate":
|
590 |
-
"loss": 0.
|
591 |
"step": 940
|
592 |
},
|
593 |
{
|
594 |
"epoch": 2.3,
|
595 |
-
"learning_rate":
|
596 |
-
"loss": 0.
|
597 |
"step": 950
|
598 |
},
|
599 |
{
|
600 |
"epoch": 2.33,
|
601 |
-
"learning_rate":
|
602 |
-
"loss": 0.
|
603 |
"step": 960
|
604 |
},
|
605 |
{
|
606 |
"epoch": 2.35,
|
607 |
-
"learning_rate":
|
608 |
-
"loss": 0.
|
609 |
"step": 970
|
610 |
},
|
611 |
{
|
612 |
"epoch": 2.38,
|
613 |
-
"learning_rate":
|
614 |
-
"loss": 0.
|
615 |
"step": 980
|
616 |
},
|
617 |
{
|
618 |
"epoch": 2.4,
|
619 |
-
"learning_rate":
|
620 |
-
"loss": 0.
|
621 |
"step": 990
|
622 |
},
|
623 |
{
|
624 |
"epoch": 2.42,
|
625 |
-
"learning_rate":
|
626 |
-
"loss": 0.
|
627 |
"step": 1000
|
628 |
},
|
629 |
{
|
630 |
"epoch": 2.45,
|
631 |
-
"learning_rate":
|
632 |
-
"loss": 0.
|
633 |
"step": 1010
|
634 |
},
|
635 |
{
|
636 |
"epoch": 2.47,
|
637 |
-
"learning_rate":
|
638 |
-
"loss": 0.
|
639 |
"step": 1020
|
640 |
},
|
641 |
{
|
642 |
"epoch": 2.5,
|
643 |
-
"learning_rate":
|
644 |
-
"loss": 0.
|
645 |
"step": 1030
|
646 |
},
|
647 |
{
|
648 |
"epoch": 2.52,
|
649 |
-
"learning_rate":
|
650 |
-
"loss": 0.
|
651 |
"step": 1040
|
652 |
},
|
653 |
{
|
654 |
"epoch": 2.55,
|
655 |
-
"learning_rate":
|
656 |
-
"loss": 0.
|
657 |
"step": 1050
|
658 |
},
|
659 |
{
|
660 |
"epoch": 2.57,
|
661 |
-
"learning_rate":
|
662 |
-
"loss": 0.
|
663 |
"step": 1060
|
664 |
},
|
665 |
{
|
666 |
"epoch": 2.59,
|
667 |
-
"learning_rate":
|
668 |
-
"loss": 0.
|
669 |
"step": 1070
|
670 |
},
|
671 |
{
|
672 |
"epoch": 2.62,
|
673 |
-
"learning_rate":
|
674 |
-
"loss": 0.
|
675 |
"step": 1080
|
676 |
},
|
677 |
{
|
678 |
"epoch": 2.64,
|
679 |
-
"learning_rate":
|
680 |
-
"loss": 0.
|
681 |
"step": 1090
|
682 |
},
|
683 |
{
|
684 |
"epoch": 2.67,
|
685 |
-
"learning_rate":
|
686 |
-
"loss": 0.
|
687 |
"step": 1100
|
688 |
},
|
689 |
{
|
690 |
"epoch": 2.69,
|
691 |
-
"learning_rate":
|
692 |
-
"loss": 0.
|
693 |
"step": 1110
|
694 |
},
|
695 |
{
|
696 |
"epoch": 2.72,
|
697 |
-
"learning_rate":
|
698 |
-
"loss": 0.
|
699 |
"step": 1120
|
700 |
},
|
701 |
{
|
702 |
"epoch": 2.74,
|
703 |
-
"learning_rate":
|
704 |
-
"loss": 0.
|
705 |
"step": 1130
|
706 |
},
|
707 |
{
|
708 |
"epoch": 2.76,
|
709 |
-
"learning_rate":
|
710 |
-
"loss": 0.
|
711 |
"step": 1140
|
712 |
},
|
713 |
{
|
714 |
"epoch": 2.79,
|
715 |
-
"learning_rate":
|
716 |
-
"loss": 0.
|
717 |
"step": 1150
|
718 |
},
|
719 |
{
|
720 |
"epoch": 2.81,
|
721 |
-
"learning_rate":
|
722 |
-
"loss": 0.
|
723 |
"step": 1160
|
724 |
},
|
725 |
{
|
726 |
"epoch": 2.84,
|
727 |
-
"learning_rate":
|
728 |
-
"loss": 0.
|
729 |
"step": 1170
|
730 |
},
|
731 |
{
|
732 |
"epoch": 2.86,
|
733 |
-
"learning_rate":
|
734 |
-
"loss": 0.
|
735 |
"step": 1180
|
736 |
},
|
737 |
{
|
738 |
"epoch": 2.88,
|
739 |
-
"learning_rate":
|
740 |
-
"loss": 0.
|
741 |
"step": 1190
|
742 |
},
|
743 |
{
|
744 |
"epoch": 2.91,
|
745 |
-
"learning_rate":
|
746 |
-
"loss": 0.
|
747 |
"step": 1200
|
748 |
},
|
749 |
{
|
750 |
"epoch": 2.93,
|
751 |
-
"learning_rate":
|
752 |
-
"loss": 0.
|
753 |
"step": 1210
|
754 |
},
|
755 |
{
|
756 |
"epoch": 2.96,
|
757 |
-
"learning_rate":
|
758 |
-
"loss": 0.
|
759 |
"step": 1220
|
760 |
},
|
761 |
{
|
762 |
"epoch": 2.98,
|
763 |
-
"learning_rate":
|
764 |
-
"loss": 0.
|
765 |
"step": 1230
|
766 |
},
|
767 |
{
|
768 |
"epoch": 3.0,
|
769 |
-
"eval_accuracy": 0.
|
770 |
-
"eval_loss": 0.
|
771 |
-
"eval_runtime":
|
772 |
-
"eval_samples_per_second":
|
773 |
-
"eval_steps_per_second": 4.
|
774 |
"step": 1237
|
775 |
},
|
776 |
{
|
777 |
"epoch": 3.01,
|
778 |
-
"learning_rate":
|
779 |
-
"loss": 0.
|
780 |
"step": 1240
|
781 |
},
|
782 |
{
|
783 |
"epoch": 3.03,
|
784 |
-
"learning_rate":
|
785 |
-
"loss": 0.
|
786 |
"step": 1250
|
787 |
},
|
788 |
{
|
789 |
"epoch": 3.05,
|
790 |
-
"learning_rate":
|
791 |
-
"loss": 0.
|
792 |
"step": 1260
|
793 |
},
|
794 |
{
|
795 |
"epoch": 3.08,
|
796 |
-
"learning_rate":
|
797 |
-
"loss": 0.
|
798 |
"step": 1270
|
799 |
},
|
800 |
{
|
801 |
"epoch": 3.1,
|
802 |
-
"learning_rate":
|
803 |
-
"loss": 0.
|
804 |
"step": 1280
|
805 |
},
|
806 |
{
|
807 |
"epoch": 3.13,
|
808 |
-
"learning_rate":
|
809 |
-
"loss": 0.
|
810 |
"step": 1290
|
811 |
},
|
812 |
{
|
813 |
"epoch": 3.15,
|
814 |
-
"learning_rate":
|
815 |
-
"loss": 0.
|
816 |
"step": 1300
|
817 |
},
|
818 |
{
|
819 |
"epoch": 3.18,
|
820 |
-
"learning_rate":
|
821 |
-
"loss": 0.
|
822 |
"step": 1310
|
823 |
},
|
824 |
{
|
825 |
"epoch": 3.2,
|
826 |
-
"learning_rate":
|
827 |
-
"loss": 0.
|
828 |
"step": 1320
|
829 |
},
|
830 |
{
|
831 |
"epoch": 3.22,
|
832 |
-
"learning_rate":
|
833 |
-
"loss": 0.
|
834 |
"step": 1330
|
835 |
},
|
836 |
{
|
837 |
"epoch": 3.25,
|
838 |
-
"learning_rate":
|
839 |
-
"loss": 0.
|
840 |
"step": 1340
|
841 |
},
|
842 |
{
|
843 |
"epoch": 3.27,
|
844 |
-
"learning_rate":
|
845 |
-
"loss": 0.
|
846 |
"step": 1350
|
847 |
},
|
848 |
{
|
849 |
"epoch": 3.3,
|
850 |
-
"learning_rate":
|
851 |
-
"loss": 0.
|
852 |
"step": 1360
|
853 |
},
|
854 |
{
|
855 |
"epoch": 3.32,
|
856 |
-
"learning_rate":
|
857 |
-
"loss": 0.
|
858 |
"step": 1370
|
859 |
},
|
860 |
{
|
861 |
"epoch": 3.35,
|
862 |
-
"learning_rate":
|
863 |
-
"loss": 0.
|
864 |
"step": 1380
|
865 |
},
|
866 |
{
|
867 |
"epoch": 3.37,
|
868 |
-
"learning_rate":
|
869 |
-
"loss": 0.
|
870 |
"step": 1390
|
871 |
},
|
872 |
{
|
873 |
"epoch": 3.39,
|
874 |
-
"learning_rate":
|
875 |
-
"loss": 0.
|
876 |
"step": 1400
|
877 |
},
|
878 |
{
|
879 |
"epoch": 3.42,
|
880 |
-
"learning_rate":
|
881 |
-
"loss": 0.
|
882 |
"step": 1410
|
883 |
},
|
884 |
{
|
885 |
"epoch": 3.44,
|
886 |
-
"learning_rate":
|
887 |
-
"loss": 0.
|
888 |
"step": 1420
|
889 |
},
|
890 |
{
|
891 |
"epoch": 3.47,
|
892 |
-
"learning_rate":
|
893 |
-
"loss": 0.
|
894 |
"step": 1430
|
895 |
},
|
896 |
{
|
897 |
"epoch": 3.49,
|
898 |
-
"learning_rate":
|
899 |
-
"loss": 0.
|
900 |
"step": 1440
|
901 |
},
|
902 |
{
|
903 |
"epoch": 3.52,
|
904 |
-
"learning_rate":
|
905 |
-
"loss": 0.
|
906 |
"step": 1450
|
907 |
},
|
908 |
{
|
909 |
"epoch": 3.54,
|
910 |
-
"learning_rate":
|
911 |
-
"loss": 0.
|
912 |
"step": 1460
|
913 |
},
|
914 |
{
|
915 |
"epoch": 3.56,
|
916 |
-
"learning_rate":
|
917 |
-
"loss": 0.
|
918 |
"step": 1470
|
919 |
},
|
920 |
{
|
921 |
"epoch": 3.59,
|
922 |
-
"learning_rate":
|
923 |
-
"loss": 0.
|
924 |
"step": 1480
|
925 |
},
|
926 |
{
|
927 |
"epoch": 3.61,
|
928 |
-
"learning_rate":
|
929 |
-
"loss": 0.
|
930 |
"step": 1490
|
931 |
},
|
932 |
{
|
933 |
"epoch": 3.64,
|
934 |
-
"learning_rate":
|
935 |
-
"loss": 0.
|
936 |
"step": 1500
|
937 |
},
|
938 |
{
|
939 |
"epoch": 3.66,
|
940 |
-
"learning_rate":
|
941 |
-
"loss": 0.
|
942 |
"step": 1510
|
943 |
},
|
944 |
{
|
945 |
"epoch": 3.68,
|
946 |
-
"learning_rate":
|
947 |
-
"loss": 0.
|
948 |
"step": 1520
|
949 |
},
|
950 |
{
|
951 |
"epoch": 3.71,
|
952 |
-
"learning_rate":
|
953 |
-
"loss": 0.
|
954 |
"step": 1530
|
955 |
},
|
956 |
{
|
957 |
"epoch": 3.73,
|
958 |
-
"learning_rate":
|
959 |
-
"loss": 0.
|
960 |
"step": 1540
|
961 |
},
|
962 |
{
|
963 |
"epoch": 3.76,
|
964 |
-
"learning_rate":
|
965 |
-
"loss": 0.
|
966 |
"step": 1550
|
967 |
},
|
968 |
{
|
969 |
"epoch": 3.78,
|
970 |
-
"learning_rate":
|
971 |
-
"loss": 0.
|
972 |
"step": 1560
|
973 |
},
|
974 |
{
|
975 |
"epoch": 3.81,
|
976 |
-
"learning_rate":
|
977 |
-
"loss": 0.
|
978 |
"step": 1570
|
979 |
},
|
980 |
{
|
981 |
"epoch": 3.83,
|
982 |
-
"learning_rate":
|
983 |
-
"loss": 0.
|
984 |
"step": 1580
|
985 |
},
|
986 |
{
|
987 |
"epoch": 3.85,
|
988 |
-
"learning_rate":
|
989 |
-
"loss": 0.
|
990 |
"step": 1590
|
991 |
},
|
992 |
{
|
993 |
"epoch": 3.88,
|
994 |
-
"learning_rate":
|
995 |
-
"loss": 0.
|
996 |
"step": 1600
|
997 |
},
|
998 |
{
|
999 |
"epoch": 3.9,
|
1000 |
-
"learning_rate":
|
1001 |
-
"loss": 0.
|
1002 |
"step": 1610
|
1003 |
},
|
1004 |
{
|
1005 |
"epoch": 3.93,
|
1006 |
-
"learning_rate":
|
1007 |
-
"loss": 0.
|
1008 |
"step": 1620
|
1009 |
},
|
1010 |
{
|
1011 |
"epoch": 3.95,
|
1012 |
-
"learning_rate":
|
1013 |
-
"loss": 0.
|
1014 |
"step": 1630
|
1015 |
},
|
1016 |
{
|
1017 |
"epoch": 3.98,
|
1018 |
-
"learning_rate":
|
1019 |
-
"loss": 0.
|
1020 |
"step": 1640
|
1021 |
},
|
1022 |
{
|
1023 |
"epoch": 4.0,
|
1024 |
-
"learning_rate":
|
1025 |
-
"loss": 0.
|
1026 |
"step": 1650
|
1027 |
},
|
1028 |
{
|
1029 |
"epoch": 4.0,
|
1030 |
-
"eval_accuracy": 0.
|
1031 |
-
"eval_loss": 0.
|
1032 |
-
"eval_runtime": 43.
|
1033 |
-
"eval_samples_per_second": 135.
|
1034 |
-
"eval_steps_per_second": 4.
|
1035 |
"step": 1650
|
1036 |
},
|
1037 |
{
|
1038 |
"epoch": 4.02,
|
1039 |
-
"learning_rate":
|
1040 |
-
"loss": 0.
|
1041 |
"step": 1660
|
1042 |
},
|
1043 |
{
|
1044 |
"epoch": 4.05,
|
1045 |
-
"learning_rate":
|
1046 |
-
"loss": 0.
|
1047 |
"step": 1670
|
1048 |
},
|
1049 |
{
|
1050 |
"epoch": 4.07,
|
1051 |
-
"learning_rate":
|
1052 |
-
"loss": 0.
|
1053 |
"step": 1680
|
1054 |
},
|
1055 |
{
|
1056 |
"epoch": 4.1,
|
1057 |
-
"learning_rate":
|
1058 |
-
"loss": 0.
|
1059 |
"step": 1690
|
1060 |
},
|
1061 |
{
|
1062 |
"epoch": 4.12,
|
1063 |
-
"learning_rate":
|
1064 |
-
"loss": 0.
|
1065 |
"step": 1700
|
1066 |
},
|
1067 |
{
|
1068 |
"epoch": 4.15,
|
1069 |
-
"learning_rate":
|
1070 |
-
"loss": 0.
|
1071 |
"step": 1710
|
1072 |
},
|
1073 |
{
|
1074 |
"epoch": 4.17,
|
1075 |
-
"learning_rate":
|
1076 |
-
"loss": 0.
|
1077 |
"step": 1720
|
1078 |
},
|
1079 |
{
|
1080 |
"epoch": 4.19,
|
1081 |
-
"learning_rate":
|
1082 |
-
"loss": 0.
|
1083 |
"step": 1730
|
1084 |
},
|
1085 |
{
|
1086 |
"epoch": 4.22,
|
1087 |
-
"learning_rate":
|
1088 |
-
"loss": 0.
|
1089 |
"step": 1740
|
1090 |
},
|
1091 |
{
|
1092 |
"epoch": 4.24,
|
1093 |
-
"learning_rate":
|
1094 |
-
"loss": 0.
|
1095 |
"step": 1750
|
1096 |
},
|
1097 |
{
|
1098 |
"epoch": 4.27,
|
1099 |
-
"learning_rate":
|
1100 |
-
"loss": 0.
|
1101 |
"step": 1760
|
1102 |
},
|
1103 |
{
|
1104 |
"epoch": 4.29,
|
1105 |
-
"learning_rate":
|
1106 |
-
"loss": 0.
|
1107 |
"step": 1770
|
1108 |
},
|
1109 |
{
|
1110 |
"epoch": 4.32,
|
1111 |
-
"learning_rate":
|
1112 |
-
"loss": 0.
|
1113 |
"step": 1780
|
1114 |
},
|
1115 |
{
|
1116 |
"epoch": 4.34,
|
1117 |
-
"learning_rate":
|
1118 |
-
"loss": 0.
|
1119 |
"step": 1790
|
1120 |
},
|
1121 |
{
|
1122 |
"epoch": 4.36,
|
1123 |
-
"learning_rate":
|
1124 |
-
"loss": 0.
|
1125 |
"step": 1800
|
1126 |
},
|
1127 |
{
|
1128 |
"epoch": 4.39,
|
1129 |
-
"learning_rate":
|
1130 |
-
"loss": 0.
|
1131 |
"step": 1810
|
1132 |
},
|
1133 |
{
|
1134 |
"epoch": 4.41,
|
1135 |
-
"learning_rate":
|
1136 |
-
"loss": 0.
|
1137 |
"step": 1820
|
1138 |
},
|
1139 |
{
|
1140 |
"epoch": 4.44,
|
1141 |
-
"learning_rate":
|
1142 |
-
"loss": 0.
|
1143 |
"step": 1830
|
1144 |
},
|
1145 |
{
|
1146 |
"epoch": 4.46,
|
1147 |
-
"learning_rate":
|
1148 |
-
"loss": 0.
|
1149 |
"step": 1840
|
1150 |
},
|
1151 |
{
|
1152 |
"epoch": 4.48,
|
1153 |
-
"learning_rate":
|
1154 |
-
"loss": 0.
|
1155 |
"step": 1850
|
1156 |
},
|
1157 |
{
|
1158 |
"epoch": 4.51,
|
1159 |
-
"learning_rate":
|
1160 |
-
"loss": 0.
|
1161 |
"step": 1860
|
1162 |
},
|
1163 |
{
|
1164 |
"epoch": 4.53,
|
1165 |
-
"learning_rate":
|
1166 |
-
"loss": 0.
|
1167 |
"step": 1870
|
1168 |
},
|
1169 |
{
|
1170 |
"epoch": 4.56,
|
1171 |
-
"learning_rate":
|
1172 |
-
"loss": 0.
|
1173 |
"step": 1880
|
1174 |
},
|
1175 |
{
|
1176 |
"epoch": 4.58,
|
1177 |
-
"learning_rate":
|
1178 |
-
"loss": 0.
|
1179 |
"step": 1890
|
1180 |
},
|
1181 |
{
|
1182 |
"epoch": 4.61,
|
1183 |
-
"learning_rate":
|
1184 |
-
"loss": 0.
|
1185 |
"step": 1900
|
1186 |
},
|
1187 |
{
|
1188 |
"epoch": 4.63,
|
1189 |
-
"learning_rate":
|
1190 |
-
"loss": 0.
|
1191 |
"step": 1910
|
1192 |
},
|
1193 |
{
|
1194 |
"epoch": 4.65,
|
1195 |
-
"learning_rate":
|
1196 |
-
"loss": 0.
|
1197 |
"step": 1920
|
1198 |
},
|
1199 |
{
|
1200 |
"epoch": 4.68,
|
1201 |
-
"learning_rate":
|
1202 |
-
"loss": 0.
|
1203 |
"step": 1930
|
1204 |
},
|
1205 |
{
|
1206 |
"epoch": 4.7,
|
1207 |
-
"learning_rate":
|
1208 |
-
"loss": 0.
|
1209 |
"step": 1940
|
1210 |
},
|
1211 |
{
|
1212 |
"epoch": 4.73,
|
1213 |
-
"learning_rate": 2.
|
1214 |
-
"loss": 0.
|
1215 |
"step": 1950
|
1216 |
},
|
1217 |
{
|
1218 |
"epoch": 4.75,
|
1219 |
-
"learning_rate": 2.
|
1220 |
-
"loss": 0.
|
1221 |
"step": 1960
|
1222 |
},
|
1223 |
{
|
1224 |
"epoch": 4.78,
|
1225 |
-
"learning_rate": 2.
|
1226 |
-
"loss": 0.
|
1227 |
"step": 1970
|
1228 |
},
|
1229 |
{
|
1230 |
"epoch": 4.8,
|
1231 |
-
"learning_rate": 2.
|
1232 |
-
"loss": 0.
|
1233 |
"step": 1980
|
1234 |
},
|
1235 |
{
|
1236 |
"epoch": 4.82,
|
1237 |
-
"learning_rate":
|
1238 |
-
"loss": 0.
|
1239 |
"step": 1990
|
1240 |
},
|
1241 |
{
|
1242 |
"epoch": 4.85,
|
1243 |
-
"learning_rate":
|
1244 |
-
"loss": 0.
|
1245 |
"step": 2000
|
1246 |
},
|
1247 |
{
|
1248 |
"epoch": 4.87,
|
1249 |
-
"learning_rate":
|
1250 |
-
"loss": 0.
|
1251 |
"step": 2010
|
1252 |
},
|
1253 |
{
|
1254 |
"epoch": 4.9,
|
1255 |
-
"learning_rate":
|
1256 |
-
"loss": 0.
|
1257 |
"step": 2020
|
1258 |
},
|
1259 |
{
|
1260 |
"epoch": 4.92,
|
1261 |
-
"learning_rate":
|
1262 |
-
"loss": 0.
|
1263 |
"step": 2030
|
1264 |
},
|
1265 |
{
|
1266 |
"epoch": 4.95,
|
1267 |
-
"learning_rate":
|
1268 |
-
"loss": 0.
|
1269 |
"step": 2040
|
1270 |
},
|
1271 |
{
|
1272 |
"epoch": 4.97,
|
1273 |
-
"learning_rate": 2.
|
1274 |
-
"loss": 0.
|
1275 |
"step": 2050
|
1276 |
},
|
1277 |
{
|
1278 |
"epoch": 4.99,
|
1279 |
-
"learning_rate":
|
1280 |
-
"loss": 0.
|
1281 |
"step": 2060
|
1282 |
},
|
1283 |
{
|
1284 |
-
"epoch":
|
1285 |
-
"eval_accuracy": 0.
|
1286 |
-
"eval_loss": 0.
|
1287 |
-
"eval_runtime":
|
1288 |
-
"eval_samples_per_second":
|
1289 |
-
"eval_steps_per_second": 4.
|
1290 |
-
"step":
|
1291 |
},
|
1292 |
{
|
1293 |
-
"epoch":
|
1294 |
-
"
|
1295 |
-
"
|
1296 |
-
"
|
1297 |
-
|
1298 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1299 |
"train_steps_per_second": 0.475
|
1300 |
}
|
1301 |
],
|
1302 |
"logging_steps": 10,
|
1303 |
-
"max_steps":
|
1304 |
-
"num_train_epochs":
|
1305 |
"save_steps": 500,
|
1306 |
-
"total_flos":
|
1307 |
"trial_name": null,
|
1308 |
"trial_params": null
|
1309 |
}
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.7794067507671326,
|
3 |
+
"best_model_checkpoint": "swin-tiny-patch4-window7-224-img_orientation/checkpoint-4120",
|
4 |
+
"epoch": 9.987878787878788,
|
5 |
"eval_steps": 500,
|
6 |
+
"global_step": 4120,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.02,
|
13 |
+
"learning_rate": 1.2135922330097087e-06,
|
14 |
+
"loss": 0.4514,
|
15 |
"step": 10
|
16 |
},
|
17 |
{
|
18 |
"epoch": 0.05,
|
19 |
+
"learning_rate": 2.4271844660194174e-06,
|
20 |
+
"loss": 0.4198,
|
21 |
"step": 20
|
22 |
},
|
23 |
{
|
24 |
"epoch": 0.07,
|
25 |
+
"learning_rate": 3.6407766990291263e-06,
|
26 |
+
"loss": 0.4392,
|
27 |
"step": 30
|
28 |
},
|
29 |
{
|
30 |
"epoch": 0.1,
|
31 |
+
"learning_rate": 4.854368932038835e-06,
|
32 |
+
"loss": 0.4007,
|
33 |
"step": 40
|
34 |
},
|
35 |
{
|
36 |
"epoch": 0.12,
|
37 |
+
"learning_rate": 6.067961165048544e-06,
|
38 |
+
"loss": 0.4043,
|
39 |
"step": 50
|
40 |
},
|
41 |
{
|
42 |
"epoch": 0.15,
|
43 |
+
"learning_rate": 7.281553398058253e-06,
|
44 |
+
"loss": 0.3604,
|
45 |
"step": 60
|
46 |
},
|
47 |
{
|
48 |
"epoch": 0.17,
|
49 |
+
"learning_rate": 8.495145631067963e-06,
|
50 |
+
"loss": 0.383,
|
51 |
"step": 70
|
52 |
},
|
53 |
{
|
54 |
"epoch": 0.19,
|
55 |
+
"learning_rate": 9.70873786407767e-06,
|
56 |
+
"loss": 0.3708,
|
57 |
"step": 80
|
58 |
},
|
59 |
{
|
60 |
"epoch": 0.22,
|
61 |
+
"learning_rate": 1.0922330097087378e-05,
|
62 |
+
"loss": 0.3486,
|
63 |
"step": 90
|
64 |
},
|
65 |
{
|
66 |
"epoch": 0.24,
|
67 |
+
"learning_rate": 1.2135922330097088e-05,
|
68 |
+
"loss": 0.367,
|
69 |
"step": 100
|
70 |
},
|
71 |
{
|
72 |
"epoch": 0.27,
|
73 |
+
"learning_rate": 1.3349514563106797e-05,
|
74 |
+
"loss": 0.3288,
|
75 |
"step": 110
|
76 |
},
|
77 |
{
|
78 |
"epoch": 0.29,
|
79 |
+
"learning_rate": 1.4563106796116505e-05,
|
80 |
+
"loss": 0.3155,
|
81 |
"step": 120
|
82 |
},
|
83 |
{
|
84 |
"epoch": 0.32,
|
85 |
+
"learning_rate": 1.5776699029126215e-05,
|
86 |
+
"loss": 0.3364,
|
87 |
"step": 130
|
88 |
},
|
89 |
{
|
90 |
"epoch": 0.34,
|
91 |
+
"learning_rate": 1.6990291262135926e-05,
|
92 |
+
"loss": 0.3258,
|
93 |
"step": 140
|
94 |
},
|
95 |
{
|
96 |
"epoch": 0.36,
|
97 |
+
"learning_rate": 1.8203883495145632e-05,
|
98 |
+
"loss": 0.3078,
|
99 |
"step": 150
|
100 |
},
|
101 |
{
|
102 |
"epoch": 0.39,
|
103 |
+
"learning_rate": 1.941747572815534e-05,
|
104 |
+
"loss": 0.293,
|
105 |
"step": 160
|
106 |
},
|
107 |
{
|
108 |
"epoch": 0.41,
|
109 |
+
"learning_rate": 2.063106796116505e-05,
|
110 |
+
"loss": 0.2877,
|
111 |
"step": 170
|
112 |
},
|
113 |
{
|
114 |
"epoch": 0.44,
|
115 |
+
"learning_rate": 2.1844660194174756e-05,
|
116 |
+
"loss": 0.3103,
|
117 |
"step": 180
|
118 |
},
|
119 |
{
|
120 |
"epoch": 0.46,
|
121 |
+
"learning_rate": 2.305825242718447e-05,
|
122 |
+
"loss": 0.2944,
|
123 |
"step": 190
|
124 |
},
|
125 |
{
|
126 |
"epoch": 0.48,
|
127 |
+
"learning_rate": 2.4271844660194176e-05,
|
128 |
+
"loss": 0.2986,
|
129 |
"step": 200
|
130 |
},
|
131 |
{
|
132 |
"epoch": 0.51,
|
133 |
+
"learning_rate": 2.5485436893203883e-05,
|
134 |
+
"loss": 0.2752,
|
135 |
"step": 210
|
136 |
},
|
137 |
{
|
138 |
"epoch": 0.53,
|
139 |
+
"learning_rate": 2.6699029126213593e-05,
|
140 |
+
"loss": 0.3086,
|
141 |
"step": 220
|
142 |
},
|
143 |
{
|
144 |
"epoch": 0.56,
|
145 |
+
"learning_rate": 2.79126213592233e-05,
|
146 |
+
"loss": 0.313,
|
147 |
"step": 230
|
148 |
},
|
149 |
{
|
150 |
"epoch": 0.58,
|
151 |
+
"learning_rate": 2.912621359223301e-05,
|
152 |
+
"loss": 0.2864,
|
153 |
"step": 240
|
154 |
},
|
155 |
{
|
156 |
"epoch": 0.61,
|
157 |
+
"learning_rate": 3.0339805825242717e-05,
|
158 |
+
"loss": 0.3166,
|
159 |
"step": 250
|
160 |
},
|
161 |
{
|
162 |
"epoch": 0.63,
|
163 |
+
"learning_rate": 3.155339805825243e-05,
|
164 |
+
"loss": 0.292,
|
165 |
"step": 260
|
166 |
},
|
167 |
{
|
168 |
"epoch": 0.65,
|
169 |
+
"learning_rate": 3.276699029126214e-05,
|
170 |
+
"loss": 0.3025,
|
171 |
"step": 270
|
172 |
},
|
173 |
{
|
174 |
"epoch": 0.68,
|
175 |
+
"learning_rate": 3.398058252427185e-05,
|
176 |
+
"loss": 0.2801,
|
177 |
"step": 280
|
178 |
},
|
179 |
{
|
180 |
"epoch": 0.7,
|
181 |
+
"learning_rate": 3.519417475728156e-05,
|
182 |
+
"loss": 0.2705,
|
183 |
"step": 290
|
184 |
},
|
185 |
{
|
186 |
"epoch": 0.73,
|
187 |
+
"learning_rate": 3.6407766990291265e-05,
|
188 |
+
"loss": 0.2895,
|
189 |
"step": 300
|
190 |
},
|
191 |
{
|
192 |
"epoch": 0.75,
|
193 |
+
"learning_rate": 3.762135922330097e-05,
|
194 |
+
"loss": 0.3195,
|
195 |
"step": 310
|
196 |
},
|
197 |
{
|
198 |
"epoch": 0.78,
|
199 |
+
"learning_rate": 3.883495145631068e-05,
|
200 |
+
"loss": 0.3023,
|
201 |
"step": 320
|
202 |
},
|
203 |
{
|
204 |
"epoch": 0.8,
|
205 |
+
"learning_rate": 4.004854368932039e-05,
|
206 |
+
"loss": 0.3075,
|
207 |
"step": 330
|
208 |
},
|
209 |
{
|
210 |
"epoch": 0.82,
|
211 |
+
"learning_rate": 4.12621359223301e-05,
|
212 |
+
"loss": 0.3065,
|
213 |
"step": 340
|
214 |
},
|
215 |
{
|
216 |
"epoch": 0.85,
|
217 |
+
"learning_rate": 4.2475728155339805e-05,
|
218 |
+
"loss": 0.2892,
|
219 |
"step": 350
|
220 |
},
|
221 |
{
|
222 |
"epoch": 0.87,
|
223 |
+
"learning_rate": 4.368932038834951e-05,
|
224 |
+
"loss": 0.2819,
|
225 |
"step": 360
|
226 |
},
|
227 |
{
|
228 |
"epoch": 0.9,
|
229 |
+
"learning_rate": 4.4902912621359226e-05,
|
230 |
+
"loss": 0.35,
|
231 |
"step": 370
|
232 |
},
|
233 |
{
|
234 |
"epoch": 0.92,
|
235 |
+
"learning_rate": 4.611650485436894e-05,
|
236 |
+
"loss": 0.3134,
|
237 |
"step": 380
|
238 |
},
|
239 |
{
|
240 |
"epoch": 0.95,
|
241 |
+
"learning_rate": 4.7330097087378646e-05,
|
242 |
+
"loss": 0.3159,
|
243 |
"step": 390
|
244 |
},
|
245 |
{
|
246 |
"epoch": 0.97,
|
247 |
+
"learning_rate": 4.854368932038835e-05,
|
248 |
+
"loss": 0.3149,
|
249 |
"step": 400
|
250 |
},
|
251 |
{
|
252 |
"epoch": 0.99,
|
253 |
+
"learning_rate": 4.975728155339806e-05,
|
254 |
+
"loss": 0.3217,
|
255 |
"step": 410
|
256 |
},
|
257 |
{
|
258 |
"epoch": 1.0,
|
259 |
+
"eval_accuracy": 0.7533242413910671,
|
260 |
+
"eval_loss": 0.4921741783618927,
|
261 |
+
"eval_runtime": 44.32,
|
262 |
+
"eval_samples_per_second": 132.356,
|
263 |
+
"eval_steps_per_second": 4.152,
|
264 |
"step": 412
|
265 |
},
|
266 |
{
|
267 |
"epoch": 1.02,
|
268 |
+
"learning_rate": 4.9892125134843584e-05,
|
269 |
+
"loss": 0.2984,
|
270 |
"step": 420
|
271 |
},
|
272 |
{
|
273 |
"epoch": 1.04,
|
274 |
+
"learning_rate": 4.975728155339806e-05,
|
275 |
+
"loss": 0.2742,
|
276 |
"step": 430
|
277 |
},
|
278 |
{
|
279 |
"epoch": 1.07,
|
280 |
+
"learning_rate": 4.962243797195254e-05,
|
281 |
+
"loss": 0.2608,
|
282 |
"step": 440
|
283 |
},
|
284 |
{
|
285 |
"epoch": 1.09,
|
286 |
+
"learning_rate": 4.948759439050701e-05,
|
287 |
+
"loss": 0.2663,
|
288 |
"step": 450
|
289 |
},
|
290 |
{
|
291 |
"epoch": 1.12,
|
292 |
+
"learning_rate": 4.935275080906149e-05,
|
293 |
+
"loss": 0.3096,
|
294 |
"step": 460
|
295 |
},
|
296 |
{
|
297 |
"epoch": 1.14,
|
298 |
+
"learning_rate": 4.921790722761597e-05,
|
299 |
+
"loss": 0.3046,
|
300 |
"step": 470
|
301 |
},
|
302 |
{
|
303 |
"epoch": 1.16,
|
304 |
+
"learning_rate": 4.9083063646170444e-05,
|
305 |
+
"loss": 0.3038,
|
306 |
"step": 480
|
307 |
},
|
308 |
{
|
309 |
"epoch": 1.19,
|
310 |
+
"learning_rate": 4.894822006472492e-05,
|
311 |
+
"loss": 0.2892,
|
312 |
"step": 490
|
313 |
},
|
314 |
{
|
315 |
"epoch": 1.21,
|
316 |
+
"learning_rate": 4.88133764832794e-05,
|
317 |
+
"loss": 0.3028,
|
318 |
"step": 500
|
319 |
},
|
320 |
{
|
321 |
"epoch": 1.24,
|
322 |
+
"learning_rate": 4.867853290183387e-05,
|
323 |
+
"loss": 0.3175,
|
324 |
"step": 510
|
325 |
},
|
326 |
{
|
327 |
"epoch": 1.26,
|
328 |
+
"learning_rate": 4.854368932038835e-05,
|
329 |
+
"loss": 0.2881,
|
330 |
"step": 520
|
331 |
},
|
332 |
{
|
333 |
"epoch": 1.28,
|
334 |
+
"learning_rate": 4.840884573894283e-05,
|
335 |
+
"loss": 0.3002,
|
336 |
"step": 530
|
337 |
},
|
338 |
{
|
339 |
"epoch": 1.31,
|
340 |
+
"learning_rate": 4.8274002157497304e-05,
|
341 |
+
"loss": 0.297,
|
342 |
"step": 540
|
343 |
},
|
344 |
{
|
345 |
"epoch": 1.33,
|
346 |
+
"learning_rate": 4.8139158576051786e-05,
|
347 |
+
"loss": 0.3127,
|
348 |
"step": 550
|
349 |
},
|
350 |
{
|
351 |
"epoch": 1.36,
|
352 |
+
"learning_rate": 4.800431499460626e-05,
|
353 |
+
"loss": 0.2924,
|
354 |
"step": 560
|
355 |
},
|
356 |
{
|
357 |
"epoch": 1.38,
|
358 |
+
"learning_rate": 4.786947141316074e-05,
|
359 |
+
"loss": 0.2823,
|
360 |
"step": 570
|
361 |
},
|
362 |
{
|
363 |
"epoch": 1.41,
|
364 |
+
"learning_rate": 4.773462783171521e-05,
|
365 |
+
"loss": 0.2947,
|
366 |
"step": 580
|
367 |
},
|
368 |
{
|
369 |
"epoch": 1.43,
|
370 |
+
"learning_rate": 4.759978425026969e-05,
|
371 |
+
"loss": 0.3045,
|
372 |
"step": 590
|
373 |
},
|
374 |
{
|
375 |
"epoch": 1.45,
|
376 |
+
"learning_rate": 4.7464940668824164e-05,
|
377 |
+
"loss": 0.3217,
|
378 |
"step": 600
|
379 |
},
|
380 |
{
|
381 |
"epoch": 1.48,
|
382 |
+
"learning_rate": 4.7330097087378646e-05,
|
383 |
+
"loss": 0.2629,
|
384 |
"step": 610
|
385 |
},
|
386 |
{
|
387 |
"epoch": 1.5,
|
388 |
+
"learning_rate": 4.7195253505933115e-05,
|
389 |
+
"loss": 0.2978,
|
390 |
"step": 620
|
391 |
},
|
392 |
{
|
393 |
"epoch": 1.53,
|
394 |
+
"learning_rate": 4.70604099244876e-05,
|
395 |
+
"loss": 0.3395,
|
396 |
"step": 630
|
397 |
},
|
398 |
{
|
399 |
"epoch": 1.55,
|
400 |
+
"learning_rate": 4.692556634304207e-05,
|
401 |
+
"loss": 0.3125,
|
402 |
"step": 640
|
403 |
},
|
404 |
{
|
405 |
"epoch": 1.58,
|
406 |
+
"learning_rate": 4.679072276159655e-05,
|
407 |
+
"loss": 0.3282,
|
408 |
"step": 650
|
409 |
},
|
410 |
{
|
411 |
"epoch": 1.6,
|
412 |
+
"learning_rate": 4.665587918015103e-05,
|
413 |
+
"loss": 0.3308,
|
414 |
"step": 660
|
415 |
},
|
416 |
{
|
417 |
"epoch": 1.62,
|
418 |
+
"learning_rate": 4.6521035598705506e-05,
|
419 |
+
"loss": 0.3026,
|
420 |
"step": 670
|
421 |
},
|
422 |
{
|
423 |
"epoch": 1.65,
|
424 |
+
"learning_rate": 4.638619201725998e-05,
|
425 |
+
"loss": 0.3007,
|
426 |
"step": 680
|
427 |
},
|
428 |
{
|
429 |
"epoch": 1.67,
|
430 |
+
"learning_rate": 4.625134843581446e-05,
|
431 |
+
"loss": 0.3106,
|
432 |
"step": 690
|
433 |
},
|
434 |
{
|
435 |
"epoch": 1.7,
|
436 |
+
"learning_rate": 4.611650485436894e-05,
|
437 |
+
"loss": 0.3172,
|
438 |
"step": 700
|
439 |
},
|
440 |
{
|
441 |
"epoch": 1.72,
|
442 |
+
"learning_rate": 4.598166127292341e-05,
|
443 |
+
"loss": 0.3423,
|
444 |
"step": 710
|
445 |
},
|
446 |
{
|
447 |
"epoch": 1.75,
|
448 |
+
"learning_rate": 4.584681769147789e-05,
|
449 |
+
"loss": 0.3383,
|
450 |
"step": 720
|
451 |
},
|
452 |
{
|
453 |
"epoch": 1.77,
|
454 |
+
"learning_rate": 4.5711974110032366e-05,
|
455 |
+
"loss": 0.3006,
|
456 |
"step": 730
|
457 |
},
|
458 |
{
|
459 |
"epoch": 1.79,
|
460 |
+
"learning_rate": 4.557713052858684e-05,
|
461 |
+
"loss": 0.3038,
|
462 |
"step": 740
|
463 |
},
|
464 |
{
|
465 |
"epoch": 1.82,
|
466 |
+
"learning_rate": 4.544228694714132e-05,
|
467 |
+
"loss": 0.3614,
|
468 |
"step": 750
|
469 |
},
|
470 |
{
|
471 |
"epoch": 1.84,
|
472 |
+
"learning_rate": 4.530744336569579e-05,
|
473 |
+
"loss": 0.3106,
|
474 |
"step": 760
|
475 |
},
|
476 |
{
|
477 |
"epoch": 1.87,
|
478 |
+
"learning_rate": 4.5172599784250275e-05,
|
479 |
+
"loss": 0.327,
|
480 |
"step": 770
|
481 |
},
|
482 |
{
|
483 |
"epoch": 1.89,
|
484 |
+
"learning_rate": 4.503775620280475e-05,
|
485 |
+
"loss": 0.3241,
|
486 |
"step": 780
|
487 |
},
|
488 |
{
|
489 |
"epoch": 1.92,
|
490 |
+
"learning_rate": 4.4902912621359226e-05,
|
491 |
+
"loss": 0.3476,
|
492 |
"step": 790
|
493 |
},
|
494 |
{
|
495 |
"epoch": 1.94,
|
496 |
+
"learning_rate": 4.47680690399137e-05,
|
497 |
+
"loss": 0.3401,
|
498 |
"step": 800
|
499 |
},
|
500 |
{
|
501 |
"epoch": 1.96,
|
502 |
+
"learning_rate": 4.4633225458468184e-05,
|
503 |
+
"loss": 0.3372,
|
504 |
"step": 810
|
505 |
},
|
506 |
{
|
507 |
"epoch": 1.99,
|
508 |
+
"learning_rate": 4.449838187702265e-05,
|
509 |
+
"loss": 0.3716,
|
510 |
"step": 820
|
511 |
},
|
512 |
{
|
513 |
"epoch": 2.0,
|
514 |
+
"eval_accuracy": 0.7601431980906921,
|
515 |
+
"eval_loss": 0.49858367443084717,
|
516 |
+
"eval_runtime": 44.1192,
|
517 |
+
"eval_samples_per_second": 132.958,
|
518 |
+
"eval_steps_per_second": 4.171,
|
519 |
"step": 825
|
520 |
},
|
521 |
{
|
522 |
"epoch": 2.01,
|
523 |
+
"learning_rate": 4.4363538295577135e-05,
|
524 |
+
"loss": 0.3225,
|
525 |
"step": 830
|
526 |
},
|
527 |
{
|
528 |
"epoch": 2.04,
|
529 |
+
"learning_rate": 4.422869471413161e-05,
|
530 |
+
"loss": 0.307,
|
531 |
"step": 840
|
532 |
},
|
533 |
{
|
534 |
"epoch": 2.06,
|
535 |
+
"learning_rate": 4.4093851132686086e-05,
|
536 |
+
"loss": 0.3115,
|
537 |
"step": 850
|
538 |
},
|
539 |
{
|
540 |
"epoch": 2.08,
|
541 |
+
"learning_rate": 4.395900755124056e-05,
|
542 |
+
"loss": 0.2849,
|
543 |
"step": 860
|
544 |
},
|
545 |
{
|
546 |
"epoch": 2.11,
|
547 |
+
"learning_rate": 4.3824163969795043e-05,
|
548 |
+
"loss": 0.3344,
|
549 |
"step": 870
|
550 |
},
|
551 |
{
|
552 |
"epoch": 2.13,
|
553 |
+
"learning_rate": 4.368932038834951e-05,
|
554 |
+
"loss": 0.3153,
|
555 |
"step": 880
|
556 |
},
|
557 |
{
|
558 |
"epoch": 2.16,
|
559 |
+
"learning_rate": 4.3554476806903994e-05,
|
560 |
+
"loss": 0.3125,
|
561 |
"step": 890
|
562 |
},
|
563 |
{
|
564 |
"epoch": 2.18,
|
565 |
+
"learning_rate": 4.341963322545847e-05,
|
566 |
+
"loss": 0.2922,
|
567 |
"step": 900
|
568 |
},
|
569 |
{
|
570 |
"epoch": 2.21,
|
571 |
+
"learning_rate": 4.3284789644012946e-05,
|
572 |
+
"loss": 0.3061,
|
573 |
"step": 910
|
574 |
},
|
575 |
{
|
576 |
"epoch": 2.23,
|
577 |
+
"learning_rate": 4.314994606256743e-05,
|
578 |
+
"loss": 0.3327,
|
579 |
"step": 920
|
580 |
},
|
581 |
{
|
582 |
"epoch": 2.25,
|
583 |
+
"learning_rate": 4.3015102481121897e-05,
|
584 |
+
"loss": 0.3186,
|
585 |
"step": 930
|
586 |
},
|
587 |
{
|
588 |
"epoch": 2.28,
|
589 |
+
"learning_rate": 4.288025889967638e-05,
|
590 |
+
"loss": 0.3247,
|
591 |
"step": 940
|
592 |
},
|
593 |
{
|
594 |
"epoch": 2.3,
|
595 |
+
"learning_rate": 4.2745415318230854e-05,
|
596 |
+
"loss": 0.3278,
|
597 |
"step": 950
|
598 |
},
|
599 |
{
|
600 |
"epoch": 2.33,
|
601 |
+
"learning_rate": 4.261057173678533e-05,
|
602 |
+
"loss": 0.3081,
|
603 |
"step": 960
|
604 |
},
|
605 |
{
|
606 |
"epoch": 2.35,
|
607 |
+
"learning_rate": 4.2475728155339805e-05,
|
608 |
+
"loss": 0.2979,
|
609 |
"step": 970
|
610 |
},
|
611 |
{
|
612 |
"epoch": 2.38,
|
613 |
+
"learning_rate": 4.234088457389429e-05,
|
614 |
+
"loss": 0.3394,
|
615 |
"step": 980
|
616 |
},
|
617 |
{
|
618 |
"epoch": 2.4,
|
619 |
+
"learning_rate": 4.2206040992448756e-05,
|
620 |
+
"loss": 0.3274,
|
621 |
"step": 990
|
622 |
},
|
623 |
{
|
624 |
"epoch": 2.42,
|
625 |
+
"learning_rate": 4.207119741100324e-05,
|
626 |
+
"loss": 0.3028,
|
627 |
"step": 1000
|
628 |
},
|
629 |
{
|
630 |
"epoch": 2.45,
|
631 |
+
"learning_rate": 4.1936353829557714e-05,
|
632 |
+
"loss": 0.3234,
|
633 |
"step": 1010
|
634 |
},
|
635 |
{
|
636 |
"epoch": 2.47,
|
637 |
+
"learning_rate": 4.180151024811219e-05,
|
638 |
+
"loss": 0.3177,
|
639 |
"step": 1020
|
640 |
},
|
641 |
{
|
642 |
"epoch": 2.5,
|
643 |
+
"learning_rate": 4.166666666666667e-05,
|
644 |
+
"loss": 0.3377,
|
645 |
"step": 1030
|
646 |
},
|
647 |
{
|
648 |
"epoch": 2.52,
|
649 |
+
"learning_rate": 4.153182308522115e-05,
|
650 |
+
"loss": 0.351,
|
651 |
"step": 1040
|
652 |
},
|
653 |
{
|
654 |
"epoch": 2.55,
|
655 |
+
"learning_rate": 4.139697950377562e-05,
|
656 |
+
"loss": 0.3438,
|
657 |
"step": 1050
|
658 |
},
|
659 |
{
|
660 |
"epoch": 2.57,
|
661 |
+
"learning_rate": 4.12621359223301e-05,
|
662 |
+
"loss": 0.3125,
|
663 |
"step": 1060
|
664 |
},
|
665 |
{
|
666 |
"epoch": 2.59,
|
667 |
+
"learning_rate": 4.1127292340884574e-05,
|
668 |
+
"loss": 0.3392,
|
669 |
"step": 1070
|
670 |
},
|
671 |
{
|
672 |
"epoch": 2.62,
|
673 |
+
"learning_rate": 4.099244875943905e-05,
|
674 |
+
"loss": 0.333,
|
675 |
"step": 1080
|
676 |
},
|
677 |
{
|
678 |
"epoch": 2.64,
|
679 |
+
"learning_rate": 4.085760517799353e-05,
|
680 |
+
"loss": 0.3557,
|
681 |
"step": 1090
|
682 |
},
|
683 |
{
|
684 |
"epoch": 2.67,
|
685 |
+
"learning_rate": 4.0722761596548e-05,
|
686 |
+
"loss": 0.3162,
|
687 |
"step": 1100
|
688 |
},
|
689 |
{
|
690 |
"epoch": 2.69,
|
691 |
+
"learning_rate": 4.058791801510248e-05,
|
692 |
+
"loss": 0.3393,
|
693 |
"step": 1110
|
694 |
},
|
695 |
{
|
696 |
"epoch": 2.72,
|
697 |
+
"learning_rate": 4.0453074433656965e-05,
|
698 |
+
"loss": 0.3408,
|
699 |
"step": 1120
|
700 |
},
|
701 |
{
|
702 |
"epoch": 2.74,
|
703 |
+
"learning_rate": 4.0318230852211434e-05,
|
704 |
+
"loss": 0.3223,
|
705 |
"step": 1130
|
706 |
},
|
707 |
{
|
708 |
"epoch": 2.76,
|
709 |
+
"learning_rate": 4.0183387270765916e-05,
|
710 |
+
"loss": 0.3516,
|
711 |
"step": 1140
|
712 |
},
|
713 |
{
|
714 |
"epoch": 2.79,
|
715 |
+
"learning_rate": 4.004854368932039e-05,
|
716 |
+
"loss": 0.348,
|
717 |
"step": 1150
|
718 |
},
|
719 |
{
|
720 |
"epoch": 2.81,
|
721 |
+
"learning_rate": 3.991370010787487e-05,
|
722 |
+
"loss": 0.3358,
|
723 |
"step": 1160
|
724 |
},
|
725 |
{
|
726 |
"epoch": 2.84,
|
727 |
+
"learning_rate": 3.977885652642934e-05,
|
728 |
+
"loss": 0.3781,
|
729 |
"step": 1170
|
730 |
},
|
731 |
{
|
732 |
"epoch": 2.86,
|
733 |
+
"learning_rate": 3.964401294498382e-05,
|
734 |
+
"loss": 0.358,
|
735 |
"step": 1180
|
736 |
},
|
737 |
{
|
738 |
"epoch": 2.88,
|
739 |
+
"learning_rate": 3.9509169363538294e-05,
|
740 |
+
"loss": 0.3959,
|
741 |
"step": 1190
|
742 |
},
|
743 |
{
|
744 |
"epoch": 2.91,
|
745 |
+
"learning_rate": 3.9374325782092776e-05,
|
746 |
+
"loss": 0.4092,
|
747 |
"step": 1200
|
748 |
},
|
749 |
{
|
750 |
"epoch": 2.93,
|
751 |
+
"learning_rate": 3.923948220064725e-05,
|
752 |
+
"loss": 0.3731,
|
753 |
"step": 1210
|
754 |
},
|
755 |
{
|
756 |
"epoch": 2.96,
|
757 |
+
"learning_rate": 3.910463861920173e-05,
|
758 |
+
"loss": 0.388,
|
759 |
"step": 1220
|
760 |
},
|
761 |
{
|
762 |
"epoch": 2.98,
|
763 |
+
"learning_rate": 3.896979503775621e-05,
|
764 |
+
"loss": 0.3756,
|
765 |
"step": 1230
|
766 |
},
|
767 |
{
|
768 |
"epoch": 3.0,
|
769 |
+
"eval_accuracy": 0.7761677463348108,
|
770 |
+
"eval_loss": 0.44274240732192993,
|
771 |
+
"eval_runtime": 43.5681,
|
772 |
+
"eval_samples_per_second": 134.64,
|
773 |
+
"eval_steps_per_second": 4.223,
|
774 |
"step": 1237
|
775 |
},
|
776 |
{
|
777 |
"epoch": 3.01,
|
778 |
+
"learning_rate": 3.883495145631068e-05,
|
779 |
+
"loss": 0.3399,
|
780 |
"step": 1240
|
781 |
},
|
782 |
{
|
783 |
"epoch": 3.03,
|
784 |
+
"learning_rate": 3.870010787486516e-05,
|
785 |
+
"loss": 0.3321,
|
786 |
"step": 1250
|
787 |
},
|
788 |
{
|
789 |
"epoch": 3.05,
|
790 |
+
"learning_rate": 3.8565264293419636e-05,
|
791 |
+
"loss": 0.3665,
|
792 |
"step": 1260
|
793 |
},
|
794 |
{
|
795 |
"epoch": 3.08,
|
796 |
+
"learning_rate": 3.843042071197411e-05,
|
797 |
+
"loss": 0.3489,
|
798 |
"step": 1270
|
799 |
},
|
800 |
{
|
801 |
"epoch": 3.1,
|
802 |
+
"learning_rate": 3.829557713052859e-05,
|
803 |
+
"loss": 0.3717,
|
804 |
"step": 1280
|
805 |
},
|
806 |
{
|
807 |
"epoch": 3.13,
|
808 |
+
"learning_rate": 3.816073354908307e-05,
|
809 |
+
"loss": 0.363,
|
810 |
"step": 1290
|
811 |
},
|
812 |
{
|
813 |
"epoch": 3.15,
|
814 |
+
"learning_rate": 3.802588996763754e-05,
|
815 |
+
"loss": 0.3485,
|
816 |
"step": 1300
|
817 |
},
|
818 |
{
|
819 |
"epoch": 3.18,
|
820 |
+
"learning_rate": 3.789104638619202e-05,
|
821 |
+
"loss": 0.4041,
|
822 |
"step": 1310
|
823 |
},
|
824 |
{
|
825 |
"epoch": 3.2,
|
826 |
+
"learning_rate": 3.7756202804746496e-05,
|
827 |
+
"loss": 0.3738,
|
828 |
"step": 1320
|
829 |
},
|
830 |
{
|
831 |
"epoch": 3.22,
|
832 |
+
"learning_rate": 3.762135922330097e-05,
|
833 |
+
"loss": 0.3573,
|
834 |
"step": 1330
|
835 |
},
|
836 |
{
|
837 |
"epoch": 3.25,
|
838 |
+
"learning_rate": 3.7486515641855454e-05,
|
839 |
+
"loss": 0.3255,
|
840 |
"step": 1340
|
841 |
},
|
842 |
{
|
843 |
"epoch": 3.27,
|
844 |
+
"learning_rate": 3.735167206040992e-05,
|
845 |
+
"loss": 0.3402,
|
846 |
"step": 1350
|
847 |
},
|
848 |
{
|
849 |
"epoch": 3.3,
|
850 |
+
"learning_rate": 3.7216828478964405e-05,
|
851 |
+
"loss": 0.3754,
|
852 |
"step": 1360
|
853 |
},
|
854 |
{
|
855 |
"epoch": 3.32,
|
856 |
+
"learning_rate": 3.708198489751888e-05,
|
857 |
+
"loss": 0.365,
|
858 |
"step": 1370
|
859 |
},
|
860 |
{
|
861 |
"epoch": 3.35,
|
862 |
+
"learning_rate": 3.6947141316073356e-05,
|
863 |
+
"loss": 0.3738,
|
864 |
"step": 1380
|
865 |
},
|
866 |
{
|
867 |
"epoch": 3.37,
|
868 |
+
"learning_rate": 3.681229773462783e-05,
|
869 |
+
"loss": 0.3628,
|
870 |
"step": 1390
|
871 |
},
|
872 |
{
|
873 |
"epoch": 3.39,
|
874 |
+
"learning_rate": 3.6677454153182314e-05,
|
875 |
+
"loss": 0.3674,
|
876 |
"step": 1400
|
877 |
},
|
878 |
{
|
879 |
"epoch": 3.42,
|
880 |
+
"learning_rate": 3.654261057173678e-05,
|
881 |
+
"loss": 0.3268,
|
882 |
"step": 1410
|
883 |
},
|
884 |
{
|
885 |
"epoch": 3.44,
|
886 |
+
"learning_rate": 3.6407766990291265e-05,
|
887 |
+
"loss": 0.3433,
|
888 |
"step": 1420
|
889 |
},
|
890 |
{
|
891 |
"epoch": 3.47,
|
892 |
+
"learning_rate": 3.627292340884574e-05,
|
893 |
+
"loss": 0.3665,
|
894 |
"step": 1430
|
895 |
},
|
896 |
{
|
897 |
"epoch": 3.49,
|
898 |
+
"learning_rate": 3.6138079827400216e-05,
|
899 |
+
"loss": 0.3512,
|
900 |
"step": 1440
|
901 |
},
|
902 |
{
|
903 |
"epoch": 3.52,
|
904 |
+
"learning_rate": 3.60032362459547e-05,
|
905 |
+
"loss": 0.3571,
|
906 |
"step": 1450
|
907 |
},
|
908 |
{
|
909 |
"epoch": 3.54,
|
910 |
+
"learning_rate": 3.5868392664509174e-05,
|
911 |
+
"loss": 0.3808,
|
912 |
"step": 1460
|
913 |
},
|
914 |
{
|
915 |
"epoch": 3.56,
|
916 |
+
"learning_rate": 3.573354908306365e-05,
|
917 |
+
"loss": 0.3969,
|
918 |
"step": 1470
|
919 |
},
|
920 |
{
|
921 |
"epoch": 3.59,
|
922 |
+
"learning_rate": 3.5598705501618125e-05,
|
923 |
+
"loss": 0.3663,
|
924 |
"step": 1480
|
925 |
},
|
926 |
{
|
927 |
"epoch": 3.61,
|
928 |
+
"learning_rate": 3.54638619201726e-05,
|
929 |
+
"loss": 0.3562,
|
930 |
"step": 1490
|
931 |
},
|
932 |
{
|
933 |
"epoch": 3.64,
|
934 |
+
"learning_rate": 3.5329018338727076e-05,
|
935 |
+
"loss": 0.3686,
|
936 |
"step": 1500
|
937 |
},
|
938 |
{
|
939 |
"epoch": 3.66,
|
940 |
+
"learning_rate": 3.519417475728156e-05,
|
941 |
+
"loss": 0.3815,
|
942 |
"step": 1510
|
943 |
},
|
944 |
{
|
945 |
"epoch": 3.68,
|
946 |
+
"learning_rate": 3.505933117583603e-05,
|
947 |
+
"loss": 0.3892,
|
948 |
"step": 1520
|
949 |
},
|
950 |
{
|
951 |
"epoch": 3.71,
|
952 |
+
"learning_rate": 3.492448759439051e-05,
|
953 |
+
"loss": 0.3847,
|
954 |
"step": 1530
|
955 |
},
|
956 |
{
|
957 |
"epoch": 3.73,
|
958 |
+
"learning_rate": 3.4789644012944984e-05,
|
959 |
+
"loss": 0.3849,
|
960 |
"step": 1540
|
961 |
},
|
962 |
{
|
963 |
"epoch": 3.76,
|
964 |
+
"learning_rate": 3.465480043149946e-05,
|
965 |
+
"loss": 0.3964,
|
966 |
"step": 1550
|
967 |
},
|
968 |
{
|
969 |
"epoch": 3.78,
|
970 |
+
"learning_rate": 3.451995685005394e-05,
|
971 |
+
"loss": 0.4121,
|
972 |
"step": 1560
|
973 |
},
|
974 |
{
|
975 |
"epoch": 3.81,
|
976 |
+
"learning_rate": 3.438511326860842e-05,
|
977 |
+
"loss": 0.3863,
|
978 |
"step": 1570
|
979 |
},
|
980 |
{
|
981 |
"epoch": 3.83,
|
982 |
+
"learning_rate": 3.425026968716289e-05,
|
983 |
+
"loss": 0.3724,
|
984 |
"step": 1580
|
985 |
},
|
986 |
{
|
987 |
"epoch": 3.85,
|
988 |
+
"learning_rate": 3.411542610571737e-05,
|
989 |
+
"loss": 0.3631,
|
990 |
"step": 1590
|
991 |
},
|
992 |
{
|
993 |
"epoch": 3.88,
|
994 |
+
"learning_rate": 3.398058252427185e-05,
|
995 |
+
"loss": 0.3825,
|
996 |
"step": 1600
|
997 |
},
|
998 |
{
|
999 |
"epoch": 3.9,
|
1000 |
+
"learning_rate": 3.384573894282632e-05,
|
1001 |
+
"loss": 0.4403,
|
1002 |
"step": 1610
|
1003 |
},
|
1004 |
{
|
1005 |
"epoch": 3.93,
|
1006 |
+
"learning_rate": 3.37108953613808e-05,
|
1007 |
+
"loss": 0.4074,
|
1008 |
"step": 1620
|
1009 |
},
|
1010 |
{
|
1011 |
"epoch": 3.95,
|
1012 |
+
"learning_rate": 3.357605177993528e-05,
|
1013 |
+
"loss": 0.4067,
|
1014 |
"step": 1630
|
1015 |
},
|
1016 |
{
|
1017 |
"epoch": 3.98,
|
1018 |
+
"learning_rate": 3.344120819848975e-05,
|
1019 |
+
"loss": 0.3598,
|
1020 |
"step": 1640
|
1021 |
},
|
1022 |
{
|
1023 |
"epoch": 4.0,
|
1024 |
+
"learning_rate": 3.330636461704423e-05,
|
1025 |
+
"loss": 0.3926,
|
1026 |
"step": 1650
|
1027 |
},
|
1028 |
{
|
1029 |
"epoch": 4.0,
|
1030 |
+
"eval_accuracy": 0.7732696897374701,
|
1031 |
+
"eval_loss": 0.4515363872051239,
|
1032 |
+
"eval_runtime": 43.3999,
|
1033 |
+
"eval_samples_per_second": 135.162,
|
1034 |
+
"eval_steps_per_second": 4.24,
|
1035 |
"step": 1650
|
1036 |
},
|
1037 |
{
|
1038 |
"epoch": 4.02,
|
1039 |
+
"learning_rate": 3.3171521035598704e-05,
|
1040 |
+
"loss": 0.3523,
|
1041 |
"step": 1660
|
1042 |
},
|
1043 |
{
|
1044 |
"epoch": 4.05,
|
1045 |
+
"learning_rate": 3.3036677454153186e-05,
|
1046 |
+
"loss": 0.3657,
|
1047 |
"step": 1670
|
1048 |
},
|
1049 |
{
|
1050 |
"epoch": 4.07,
|
1051 |
+
"learning_rate": 3.290183387270766e-05,
|
1052 |
+
"loss": 0.3677,
|
1053 |
"step": 1680
|
1054 |
},
|
1055 |
{
|
1056 |
"epoch": 4.1,
|
1057 |
+
"learning_rate": 3.276699029126214e-05,
|
1058 |
+
"loss": 0.4004,
|
1059 |
"step": 1690
|
1060 |
},
|
1061 |
{
|
1062 |
"epoch": 4.12,
|
1063 |
+
"learning_rate": 3.263214670981661e-05,
|
1064 |
+
"loss": 0.3857,
|
1065 |
"step": 1700
|
1066 |
},
|
1067 |
{
|
1068 |
"epoch": 4.15,
|
1069 |
+
"learning_rate": 3.2497303128371095e-05,
|
1070 |
+
"loss": 0.4001,
|
1071 |
"step": 1710
|
1072 |
},
|
1073 |
{
|
1074 |
"epoch": 4.17,
|
1075 |
+
"learning_rate": 3.2362459546925564e-05,
|
1076 |
+
"loss": 0.3483,
|
1077 |
"step": 1720
|
1078 |
},
|
1079 |
{
|
1080 |
"epoch": 4.19,
|
1081 |
+
"learning_rate": 3.2227615965480046e-05,
|
1082 |
+
"loss": 0.3868,
|
1083 |
"step": 1730
|
1084 |
},
|
1085 |
{
|
1086 |
"epoch": 4.22,
|
1087 |
+
"learning_rate": 3.209277238403452e-05,
|
1088 |
+
"loss": 0.3811,
|
1089 |
"step": 1740
|
1090 |
},
|
1091 |
{
|
1092 |
"epoch": 4.24,
|
1093 |
+
"learning_rate": 3.1957928802589e-05,
|
1094 |
+
"loss": 0.344,
|
1095 |
"step": 1750
|
1096 |
},
|
1097 |
{
|
1098 |
"epoch": 4.27,
|
1099 |
+
"learning_rate": 3.182308522114347e-05,
|
1100 |
+
"loss": 0.4038,
|
1101 |
"step": 1760
|
1102 |
},
|
1103 |
{
|
1104 |
"epoch": 4.29,
|
1105 |
+
"learning_rate": 3.1688241639697955e-05,
|
1106 |
+
"loss": 0.3716,
|
1107 |
"step": 1770
|
1108 |
},
|
1109 |
{
|
1110 |
"epoch": 4.32,
|
1111 |
+
"learning_rate": 3.155339805825243e-05,
|
1112 |
+
"loss": 0.395,
|
1113 |
"step": 1780
|
1114 |
},
|
1115 |
{
|
1116 |
"epoch": 4.34,
|
1117 |
+
"learning_rate": 3.1418554476806906e-05,
|
1118 |
+
"loss": 0.3959,
|
1119 |
"step": 1790
|
1120 |
},
|
1121 |
{
|
1122 |
"epoch": 4.36,
|
1123 |
+
"learning_rate": 3.128371089536138e-05,
|
1124 |
+
"loss": 0.3983,
|
1125 |
"step": 1800
|
1126 |
},
|
1127 |
{
|
1128 |
"epoch": 4.39,
|
1129 |
+
"learning_rate": 3.114886731391586e-05,
|
1130 |
+
"loss": 0.4456,
|
1131 |
"step": 1810
|
1132 |
},
|
1133 |
{
|
1134 |
"epoch": 4.41,
|
1135 |
+
"learning_rate": 3.101402373247034e-05,
|
1136 |
+
"loss": 0.3956,
|
1137 |
"step": 1820
|
1138 |
},
|
1139 |
{
|
1140 |
"epoch": 4.44,
|
1141 |
+
"learning_rate": 3.087918015102481e-05,
|
1142 |
+
"loss": 0.3926,
|
1143 |
"step": 1830
|
1144 |
},
|
1145 |
{
|
1146 |
"epoch": 4.46,
|
1147 |
+
"learning_rate": 3.074433656957929e-05,
|
1148 |
+
"loss": 0.4182,
|
1149 |
"step": 1840
|
1150 |
},
|
1151 |
{
|
1152 |
"epoch": 4.48,
|
1153 |
+
"learning_rate": 3.0609492988133766e-05,
|
1154 |
+
"loss": 0.4022,
|
1155 |
"step": 1850
|
1156 |
},
|
1157 |
{
|
1158 |
"epoch": 4.51,
|
1159 |
+
"learning_rate": 3.0474649406688245e-05,
|
1160 |
+
"loss": 0.4088,
|
1161 |
"step": 1860
|
1162 |
},
|
1163 |
{
|
1164 |
"epoch": 4.53,
|
1165 |
+
"learning_rate": 3.0339805825242717e-05,
|
1166 |
+
"loss": 0.386,
|
1167 |
"step": 1870
|
1168 |
},
|
1169 |
{
|
1170 |
"epoch": 4.56,
|
1171 |
+
"learning_rate": 3.0204962243797196e-05,
|
1172 |
+
"loss": 0.411,
|
1173 |
"step": 1880
|
1174 |
},
|
1175 |
{
|
1176 |
"epoch": 4.58,
|
1177 |
+
"learning_rate": 3.0070118662351675e-05,
|
1178 |
+
"loss": 0.3774,
|
1179 |
"step": 1890
|
1180 |
},
|
1181 |
{
|
1182 |
"epoch": 4.61,
|
1183 |
+
"learning_rate": 2.993527508090615e-05,
|
1184 |
+
"loss": 0.4273,
|
1185 |
"step": 1900
|
1186 |
},
|
1187 |
{
|
1188 |
"epoch": 4.63,
|
1189 |
+
"learning_rate": 2.980043149946063e-05,
|
1190 |
+
"loss": 0.4008,
|
1191 |
"step": 1910
|
1192 |
},
|
1193 |
{
|
1194 |
"epoch": 4.65,
|
1195 |
+
"learning_rate": 2.96655879180151e-05,
|
1196 |
+
"loss": 0.4021,
|
1197 |
"step": 1920
|
1198 |
},
|
1199 |
{
|
1200 |
"epoch": 4.68,
|
1201 |
+
"learning_rate": 2.9530744336569584e-05,
|
1202 |
+
"loss": 0.4117,
|
1203 |
"step": 1930
|
1204 |
},
|
1205 |
{
|
1206 |
"epoch": 4.7,
|
1207 |
+
"learning_rate": 2.9395900755124056e-05,
|
1208 |
+
"loss": 0.4169,
|
1209 |
"step": 1940
|
1210 |
},
|
1211 |
{
|
1212 |
"epoch": 4.73,
|
1213 |
+
"learning_rate": 2.9261057173678535e-05,
|
1214 |
+
"loss": 0.3996,
|
1215 |
"step": 1950
|
1216 |
},
|
1217 |
{
|
1218 |
"epoch": 4.75,
|
1219 |
+
"learning_rate": 2.912621359223301e-05,
|
1220 |
+
"loss": 0.4179,
|
1221 |
"step": 1960
|
1222 |
},
|
1223 |
{
|
1224 |
"epoch": 4.78,
|
1225 |
+
"learning_rate": 2.899137001078749e-05,
|
1226 |
+
"loss": 0.4037,
|
1227 |
"step": 1970
|
1228 |
},
|
1229 |
{
|
1230 |
"epoch": 4.8,
|
1231 |
+
"learning_rate": 2.885652642934196e-05,
|
1232 |
+
"loss": 0.4045,
|
1233 |
"step": 1980
|
1234 |
},
|
1235 |
{
|
1236 |
"epoch": 4.82,
|
1237 |
+
"learning_rate": 2.872168284789644e-05,
|
1238 |
+
"loss": 0.4055,
|
1239 |
"step": 1990
|
1240 |
},
|
1241 |
{
|
1242 |
"epoch": 4.85,
|
1243 |
+
"learning_rate": 2.8586839266450923e-05,
|
1244 |
+
"loss": 0.4294,
|
1245 |
"step": 2000
|
1246 |
},
|
1247 |
{
|
1248 |
"epoch": 4.87,
|
1249 |
+
"learning_rate": 2.8451995685005395e-05,
|
1250 |
+
"loss": 0.4161,
|
1251 |
"step": 2010
|
1252 |
},
|
1253 |
{
|
1254 |
"epoch": 4.9,
|
1255 |
+
"learning_rate": 2.8317152103559874e-05,
|
1256 |
+
"loss": 0.4084,
|
1257 |
"step": 2020
|
1258 |
},
|
1259 |
{
|
1260 |
"epoch": 4.92,
|
1261 |
+
"learning_rate": 2.818230852211435e-05,
|
1262 |
+
"loss": 0.4111,
|
1263 |
"step": 2030
|
1264 |
},
|
1265 |
{
|
1266 |
"epoch": 4.95,
|
1267 |
+
"learning_rate": 2.8047464940668828e-05,
|
1268 |
+
"loss": 0.3972,
|
1269 |
"step": 2040
|
1270 |
},
|
1271 |
{
|
1272 |
"epoch": 4.97,
|
1273 |
+
"learning_rate": 2.79126213592233e-05,
|
1274 |
+
"loss": 0.3997,
|
1275 |
"step": 2050
|
1276 |
},
|
1277 |
{
|
1278 |
"epoch": 4.99,
|
1279 |
+
"learning_rate": 2.777777777777778e-05,
|
1280 |
+
"loss": 0.3859,
|
1281 |
"step": 2060
|
1282 |
},
|
1283 |
{
|
1284 |
+
"epoch": 5.0,
|
1285 |
+
"eval_accuracy": 0.7717354244800545,
|
1286 |
+
"eval_loss": 0.4393536448478699,
|
1287 |
+
"eval_runtime": 44.2527,
|
1288 |
+
"eval_samples_per_second": 132.557,
|
1289 |
+
"eval_steps_per_second": 4.158,
|
1290 |
+
"step": 2062
|
1291 |
},
|
1292 |
{
|
1293 |
+
"epoch": 5.02,
|
1294 |
+
"learning_rate": 2.7642934196332255e-05,
|
1295 |
+
"loss": 0.4082,
|
1296 |
+
"step": 2070
|
1297 |
+
},
|
1298 |
+
{
|
1299 |
+
"epoch": 5.04,
|
1300 |
+
"learning_rate": 2.7508090614886734e-05,
|
1301 |
+
"loss": 0.384,
|
1302 |
+
"step": 2080
|
1303 |
+
},
|
1304 |
+
{
|
1305 |
+
"epoch": 5.07,
|
1306 |
+
"learning_rate": 2.7373247033441206e-05,
|
1307 |
+
"loss": 0.4004,
|
1308 |
+
"step": 2090
|
1309 |
+
},
|
1310 |
+
{
|
1311 |
+
"epoch": 5.09,
|
1312 |
+
"learning_rate": 2.7238403451995688e-05,
|
1313 |
+
"loss": 0.4186,
|
1314 |
+
"step": 2100
|
1315 |
+
},
|
1316 |
+
{
|
1317 |
+
"epoch": 5.12,
|
1318 |
+
"learning_rate": 2.7103559870550167e-05,
|
1319 |
+
"loss": 0.385,
|
1320 |
+
"step": 2110
|
1321 |
+
},
|
1322 |
+
{
|
1323 |
+
"epoch": 5.14,
|
1324 |
+
"learning_rate": 2.696871628910464e-05,
|
1325 |
+
"loss": 0.3718,
|
1326 |
+
"step": 2120
|
1327 |
+
},
|
1328 |
+
{
|
1329 |
+
"epoch": 5.16,
|
1330 |
+
"learning_rate": 2.6833872707659118e-05,
|
1331 |
+
"loss": 0.3845,
|
1332 |
+
"step": 2130
|
1333 |
+
},
|
1334 |
+
{
|
1335 |
+
"epoch": 5.19,
|
1336 |
+
"learning_rate": 2.6699029126213593e-05,
|
1337 |
+
"loss": 0.3861,
|
1338 |
+
"step": 2140
|
1339 |
+
},
|
1340 |
+
{
|
1341 |
+
"epoch": 5.21,
|
1342 |
+
"learning_rate": 2.6564185544768072e-05,
|
1343 |
+
"loss": 0.3959,
|
1344 |
+
"step": 2150
|
1345 |
+
},
|
1346 |
+
{
|
1347 |
+
"epoch": 5.24,
|
1348 |
+
"learning_rate": 2.6429341963322544e-05,
|
1349 |
+
"loss": 0.411,
|
1350 |
+
"step": 2160
|
1351 |
+
},
|
1352 |
+
{
|
1353 |
+
"epoch": 5.26,
|
1354 |
+
"learning_rate": 2.6294498381877027e-05,
|
1355 |
+
"loss": 0.3849,
|
1356 |
+
"step": 2170
|
1357 |
+
},
|
1358 |
+
{
|
1359 |
+
"epoch": 5.28,
|
1360 |
+
"learning_rate": 2.61596548004315e-05,
|
1361 |
+
"loss": 0.3884,
|
1362 |
+
"step": 2180
|
1363 |
+
},
|
1364 |
+
{
|
1365 |
+
"epoch": 5.31,
|
1366 |
+
"learning_rate": 2.6024811218985978e-05,
|
1367 |
+
"loss": 0.3848,
|
1368 |
+
"step": 2190
|
1369 |
+
},
|
1370 |
+
{
|
1371 |
+
"epoch": 5.33,
|
1372 |
+
"learning_rate": 2.5889967637540453e-05,
|
1373 |
+
"loss": 0.3937,
|
1374 |
+
"step": 2200
|
1375 |
+
},
|
1376 |
+
{
|
1377 |
+
"epoch": 5.36,
|
1378 |
+
"learning_rate": 2.5755124056094932e-05,
|
1379 |
+
"loss": 0.4112,
|
1380 |
+
"step": 2210
|
1381 |
+
},
|
1382 |
+
{
|
1383 |
+
"epoch": 5.38,
|
1384 |
+
"learning_rate": 2.5620280474649404e-05,
|
1385 |
+
"loss": 0.3902,
|
1386 |
+
"step": 2220
|
1387 |
+
},
|
1388 |
+
{
|
1389 |
+
"epoch": 5.41,
|
1390 |
+
"learning_rate": 2.5485436893203883e-05,
|
1391 |
+
"loss": 0.3899,
|
1392 |
+
"step": 2230
|
1393 |
+
},
|
1394 |
+
{
|
1395 |
+
"epoch": 5.43,
|
1396 |
+
"learning_rate": 2.5350593311758362e-05,
|
1397 |
+
"loss": 0.4006,
|
1398 |
+
"step": 2240
|
1399 |
+
},
|
1400 |
+
{
|
1401 |
+
"epoch": 5.45,
|
1402 |
+
"learning_rate": 2.5215749730312838e-05,
|
1403 |
+
"loss": 0.4078,
|
1404 |
+
"step": 2250
|
1405 |
+
},
|
1406 |
+
{
|
1407 |
+
"epoch": 5.48,
|
1408 |
+
"learning_rate": 2.5080906148867317e-05,
|
1409 |
+
"loss": 0.4113,
|
1410 |
+
"step": 2260
|
1411 |
+
},
|
1412 |
+
{
|
1413 |
+
"epoch": 5.5,
|
1414 |
+
"learning_rate": 2.4946062567421792e-05,
|
1415 |
+
"loss": 0.404,
|
1416 |
+
"step": 2270
|
1417 |
+
},
|
1418 |
+
{
|
1419 |
+
"epoch": 5.53,
|
1420 |
+
"learning_rate": 2.481121898597627e-05,
|
1421 |
+
"loss": 0.429,
|
1422 |
+
"step": 2280
|
1423 |
+
},
|
1424 |
+
{
|
1425 |
+
"epoch": 5.55,
|
1426 |
+
"learning_rate": 2.4676375404530747e-05,
|
1427 |
+
"loss": 0.3862,
|
1428 |
+
"step": 2290
|
1429 |
+
},
|
1430 |
+
{
|
1431 |
+
"epoch": 5.58,
|
1432 |
+
"learning_rate": 2.4541531823085222e-05,
|
1433 |
+
"loss": 0.3846,
|
1434 |
+
"step": 2300
|
1435 |
+
},
|
1436 |
+
{
|
1437 |
+
"epoch": 5.6,
|
1438 |
+
"learning_rate": 2.44066882416397e-05,
|
1439 |
+
"loss": 0.3923,
|
1440 |
+
"step": 2310
|
1441 |
+
},
|
1442 |
+
{
|
1443 |
+
"epoch": 5.62,
|
1444 |
+
"learning_rate": 2.4271844660194176e-05,
|
1445 |
+
"loss": 0.3899,
|
1446 |
+
"step": 2320
|
1447 |
+
},
|
1448 |
+
{
|
1449 |
+
"epoch": 5.65,
|
1450 |
+
"learning_rate": 2.4137001078748652e-05,
|
1451 |
+
"loss": 0.3964,
|
1452 |
+
"step": 2330
|
1453 |
+
},
|
1454 |
+
{
|
1455 |
+
"epoch": 5.67,
|
1456 |
+
"learning_rate": 2.400215749730313e-05,
|
1457 |
+
"loss": 0.3773,
|
1458 |
+
"step": 2340
|
1459 |
+
},
|
1460 |
+
{
|
1461 |
+
"epoch": 5.7,
|
1462 |
+
"learning_rate": 2.3867313915857606e-05,
|
1463 |
+
"loss": 0.3735,
|
1464 |
+
"step": 2350
|
1465 |
+
},
|
1466 |
+
{
|
1467 |
+
"epoch": 5.72,
|
1468 |
+
"learning_rate": 2.3732470334412082e-05,
|
1469 |
+
"loss": 0.3679,
|
1470 |
+
"step": 2360
|
1471 |
+
},
|
1472 |
+
{
|
1473 |
+
"epoch": 5.75,
|
1474 |
+
"learning_rate": 2.3597626752966557e-05,
|
1475 |
+
"loss": 0.3818,
|
1476 |
+
"step": 2370
|
1477 |
+
},
|
1478 |
+
{
|
1479 |
+
"epoch": 5.77,
|
1480 |
+
"learning_rate": 2.3462783171521036e-05,
|
1481 |
+
"loss": 0.4101,
|
1482 |
+
"step": 2380
|
1483 |
+
},
|
1484 |
+
{
|
1485 |
+
"epoch": 5.79,
|
1486 |
+
"learning_rate": 2.3327939590075515e-05,
|
1487 |
+
"loss": 0.4143,
|
1488 |
+
"step": 2390
|
1489 |
+
},
|
1490 |
+
{
|
1491 |
+
"epoch": 5.82,
|
1492 |
+
"learning_rate": 2.319309600862999e-05,
|
1493 |
+
"loss": 0.3931,
|
1494 |
+
"step": 2400
|
1495 |
+
},
|
1496 |
+
{
|
1497 |
+
"epoch": 5.84,
|
1498 |
+
"learning_rate": 2.305825242718447e-05,
|
1499 |
+
"loss": 0.3645,
|
1500 |
+
"step": 2410
|
1501 |
+
},
|
1502 |
+
{
|
1503 |
+
"epoch": 5.87,
|
1504 |
+
"learning_rate": 2.2923408845738945e-05,
|
1505 |
+
"loss": 0.3971,
|
1506 |
+
"step": 2420
|
1507 |
+
},
|
1508 |
+
{
|
1509 |
+
"epoch": 5.89,
|
1510 |
+
"learning_rate": 2.278856526429342e-05,
|
1511 |
+
"loss": 0.3883,
|
1512 |
+
"step": 2430
|
1513 |
+
},
|
1514 |
+
{
|
1515 |
+
"epoch": 5.92,
|
1516 |
+
"learning_rate": 2.2653721682847896e-05,
|
1517 |
+
"loss": 0.3859,
|
1518 |
+
"step": 2440
|
1519 |
+
},
|
1520 |
+
{
|
1521 |
+
"epoch": 5.94,
|
1522 |
+
"learning_rate": 2.2518878101402375e-05,
|
1523 |
+
"loss": 0.3803,
|
1524 |
+
"step": 2450
|
1525 |
+
},
|
1526 |
+
{
|
1527 |
+
"epoch": 5.96,
|
1528 |
+
"learning_rate": 2.238403451995685e-05,
|
1529 |
+
"loss": 0.3686,
|
1530 |
+
"step": 2460
|
1531 |
+
},
|
1532 |
+
{
|
1533 |
+
"epoch": 5.99,
|
1534 |
+
"learning_rate": 2.2249190938511326e-05,
|
1535 |
+
"loss": 0.3822,
|
1536 |
+
"step": 2470
|
1537 |
+
},
|
1538 |
+
{
|
1539 |
+
"epoch": 6.0,
|
1540 |
+
"eval_accuracy": 0.7783839072621889,
|
1541 |
+
"eval_loss": 0.4409945607185364,
|
1542 |
+
"eval_runtime": 44.1667,
|
1543 |
+
"eval_samples_per_second": 132.815,
|
1544 |
+
"eval_steps_per_second": 4.166,
|
1545 |
+
"step": 2475
|
1546 |
+
},
|
1547 |
+
{
|
1548 |
+
"epoch": 6.01,
|
1549 |
+
"learning_rate": 2.2114347357065805e-05,
|
1550 |
+
"loss": 0.402,
|
1551 |
+
"step": 2480
|
1552 |
+
},
|
1553 |
+
{
|
1554 |
+
"epoch": 6.04,
|
1555 |
+
"learning_rate": 2.197950377562028e-05,
|
1556 |
+
"loss": 0.3558,
|
1557 |
+
"step": 2490
|
1558 |
+
},
|
1559 |
+
{
|
1560 |
+
"epoch": 6.06,
|
1561 |
+
"learning_rate": 2.1844660194174756e-05,
|
1562 |
+
"loss": 0.3853,
|
1563 |
+
"step": 2500
|
1564 |
+
},
|
1565 |
+
{
|
1566 |
+
"epoch": 6.08,
|
1567 |
+
"learning_rate": 2.1709816612729235e-05,
|
1568 |
+
"loss": 0.3455,
|
1569 |
+
"step": 2510
|
1570 |
+
},
|
1571 |
+
{
|
1572 |
+
"epoch": 6.11,
|
1573 |
+
"learning_rate": 2.1574973031283714e-05,
|
1574 |
+
"loss": 0.3913,
|
1575 |
+
"step": 2520
|
1576 |
+
},
|
1577 |
+
{
|
1578 |
+
"epoch": 6.13,
|
1579 |
+
"learning_rate": 2.144012944983819e-05,
|
1580 |
+
"loss": 0.3874,
|
1581 |
+
"step": 2530
|
1582 |
+
},
|
1583 |
+
{
|
1584 |
+
"epoch": 6.16,
|
1585 |
+
"learning_rate": 2.1305285868392665e-05,
|
1586 |
+
"loss": 0.3646,
|
1587 |
+
"step": 2540
|
1588 |
+
},
|
1589 |
+
{
|
1590 |
+
"epoch": 6.18,
|
1591 |
+
"learning_rate": 2.1170442286947144e-05,
|
1592 |
+
"loss": 0.3933,
|
1593 |
+
"step": 2550
|
1594 |
+
},
|
1595 |
+
{
|
1596 |
+
"epoch": 6.21,
|
1597 |
+
"learning_rate": 2.103559870550162e-05,
|
1598 |
+
"loss": 0.3445,
|
1599 |
+
"step": 2560
|
1600 |
+
},
|
1601 |
+
{
|
1602 |
+
"epoch": 6.23,
|
1603 |
+
"learning_rate": 2.0900755124056095e-05,
|
1604 |
+
"loss": 0.3621,
|
1605 |
+
"step": 2570
|
1606 |
+
},
|
1607 |
+
{
|
1608 |
+
"epoch": 6.25,
|
1609 |
+
"learning_rate": 2.0765911542610574e-05,
|
1610 |
+
"loss": 0.3742,
|
1611 |
+
"step": 2580
|
1612 |
+
},
|
1613 |
+
{
|
1614 |
+
"epoch": 6.28,
|
1615 |
+
"learning_rate": 2.063106796116505e-05,
|
1616 |
+
"loss": 0.3861,
|
1617 |
+
"step": 2590
|
1618 |
+
},
|
1619 |
+
{
|
1620 |
+
"epoch": 6.3,
|
1621 |
+
"learning_rate": 2.0496224379719525e-05,
|
1622 |
+
"loss": 0.3535,
|
1623 |
+
"step": 2600
|
1624 |
+
},
|
1625 |
+
{
|
1626 |
+
"epoch": 6.33,
|
1627 |
+
"learning_rate": 2.0361380798274e-05,
|
1628 |
+
"loss": 0.3739,
|
1629 |
+
"step": 2610
|
1630 |
+
},
|
1631 |
+
{
|
1632 |
+
"epoch": 6.35,
|
1633 |
+
"learning_rate": 2.0226537216828483e-05,
|
1634 |
+
"loss": 0.3711,
|
1635 |
+
"step": 2620
|
1636 |
+
},
|
1637 |
+
{
|
1638 |
+
"epoch": 6.38,
|
1639 |
+
"learning_rate": 2.0091693635382958e-05,
|
1640 |
+
"loss": 0.3601,
|
1641 |
+
"step": 2630
|
1642 |
+
},
|
1643 |
+
{
|
1644 |
+
"epoch": 6.4,
|
1645 |
+
"learning_rate": 1.9956850053937434e-05,
|
1646 |
+
"loss": 0.3603,
|
1647 |
+
"step": 2640
|
1648 |
+
},
|
1649 |
+
{
|
1650 |
+
"epoch": 6.42,
|
1651 |
+
"learning_rate": 1.982200647249191e-05,
|
1652 |
+
"loss": 0.3574,
|
1653 |
+
"step": 2650
|
1654 |
+
},
|
1655 |
+
{
|
1656 |
+
"epoch": 6.45,
|
1657 |
+
"learning_rate": 1.9687162891046388e-05,
|
1658 |
+
"loss": 0.3706,
|
1659 |
+
"step": 2660
|
1660 |
+
},
|
1661 |
+
{
|
1662 |
+
"epoch": 6.47,
|
1663 |
+
"learning_rate": 1.9552319309600864e-05,
|
1664 |
+
"loss": 0.3829,
|
1665 |
+
"step": 2670
|
1666 |
+
},
|
1667 |
+
{
|
1668 |
+
"epoch": 6.5,
|
1669 |
+
"learning_rate": 1.941747572815534e-05,
|
1670 |
+
"loss": 0.3904,
|
1671 |
+
"step": 2680
|
1672 |
+
},
|
1673 |
+
{
|
1674 |
+
"epoch": 6.52,
|
1675 |
+
"learning_rate": 1.9282632146709818e-05,
|
1676 |
+
"loss": 0.3595,
|
1677 |
+
"step": 2690
|
1678 |
+
},
|
1679 |
+
{
|
1680 |
+
"epoch": 6.55,
|
1681 |
+
"learning_rate": 1.9147788565264294e-05,
|
1682 |
+
"loss": 0.3494,
|
1683 |
+
"step": 2700
|
1684 |
+
},
|
1685 |
+
{
|
1686 |
+
"epoch": 6.57,
|
1687 |
+
"learning_rate": 1.901294498381877e-05,
|
1688 |
+
"loss": 0.386,
|
1689 |
+
"step": 2710
|
1690 |
+
},
|
1691 |
+
{
|
1692 |
+
"epoch": 6.59,
|
1693 |
+
"learning_rate": 1.8878101402373248e-05,
|
1694 |
+
"loss": 0.3716,
|
1695 |
+
"step": 2720
|
1696 |
+
},
|
1697 |
+
{
|
1698 |
+
"epoch": 6.62,
|
1699 |
+
"learning_rate": 1.8743257820927727e-05,
|
1700 |
+
"loss": 0.3508,
|
1701 |
+
"step": 2730
|
1702 |
+
},
|
1703 |
+
{
|
1704 |
+
"epoch": 6.64,
|
1705 |
+
"learning_rate": 1.8608414239482202e-05,
|
1706 |
+
"loss": 0.3528,
|
1707 |
+
"step": 2740
|
1708 |
+
},
|
1709 |
+
{
|
1710 |
+
"epoch": 6.67,
|
1711 |
+
"learning_rate": 1.8473570658036678e-05,
|
1712 |
+
"loss": 0.3731,
|
1713 |
+
"step": 2750
|
1714 |
+
},
|
1715 |
+
{
|
1716 |
+
"epoch": 6.69,
|
1717 |
+
"learning_rate": 1.8338727076591157e-05,
|
1718 |
+
"loss": 0.3812,
|
1719 |
+
"step": 2760
|
1720 |
+
},
|
1721 |
+
{
|
1722 |
+
"epoch": 6.72,
|
1723 |
+
"learning_rate": 1.8203883495145632e-05,
|
1724 |
+
"loss": 0.3745,
|
1725 |
+
"step": 2770
|
1726 |
+
},
|
1727 |
+
{
|
1728 |
+
"epoch": 6.74,
|
1729 |
+
"learning_rate": 1.8069039913700108e-05,
|
1730 |
+
"loss": 0.3946,
|
1731 |
+
"step": 2780
|
1732 |
+
},
|
1733 |
+
{
|
1734 |
+
"epoch": 6.76,
|
1735 |
+
"learning_rate": 1.7934196332254587e-05,
|
1736 |
+
"loss": 0.3744,
|
1737 |
+
"step": 2790
|
1738 |
+
},
|
1739 |
+
{
|
1740 |
+
"epoch": 6.79,
|
1741 |
+
"learning_rate": 1.7799352750809062e-05,
|
1742 |
+
"loss": 0.3496,
|
1743 |
+
"step": 2800
|
1744 |
+
},
|
1745 |
+
{
|
1746 |
+
"epoch": 6.81,
|
1747 |
+
"learning_rate": 1.7664509169363538e-05,
|
1748 |
+
"loss": 0.359,
|
1749 |
+
"step": 2810
|
1750 |
+
},
|
1751 |
+
{
|
1752 |
+
"epoch": 6.84,
|
1753 |
+
"learning_rate": 1.7529665587918013e-05,
|
1754 |
+
"loss": 0.3781,
|
1755 |
+
"step": 2820
|
1756 |
+
},
|
1757 |
+
{
|
1758 |
+
"epoch": 6.86,
|
1759 |
+
"learning_rate": 1.7394822006472492e-05,
|
1760 |
+
"loss": 0.3524,
|
1761 |
+
"step": 2830
|
1762 |
+
},
|
1763 |
+
{
|
1764 |
+
"epoch": 6.88,
|
1765 |
+
"learning_rate": 1.725997842502697e-05,
|
1766 |
+
"loss": 0.3977,
|
1767 |
+
"step": 2840
|
1768 |
+
},
|
1769 |
+
{
|
1770 |
+
"epoch": 6.91,
|
1771 |
+
"learning_rate": 1.7125134843581447e-05,
|
1772 |
+
"loss": 0.3668,
|
1773 |
+
"step": 2850
|
1774 |
+
},
|
1775 |
+
{
|
1776 |
+
"epoch": 6.93,
|
1777 |
+
"learning_rate": 1.6990291262135926e-05,
|
1778 |
+
"loss": 0.3718,
|
1779 |
+
"step": 2860
|
1780 |
+
},
|
1781 |
+
{
|
1782 |
+
"epoch": 6.96,
|
1783 |
+
"learning_rate": 1.68554476806904e-05,
|
1784 |
+
"loss": 0.3519,
|
1785 |
+
"step": 2870
|
1786 |
+
},
|
1787 |
+
{
|
1788 |
+
"epoch": 6.98,
|
1789 |
+
"learning_rate": 1.6720604099244877e-05,
|
1790 |
+
"loss": 0.3804,
|
1791 |
+
"step": 2880
|
1792 |
+
},
|
1793 |
+
{
|
1794 |
+
"epoch": 7.0,
|
1795 |
+
"eval_accuracy": 0.7766791680872827,
|
1796 |
+
"eval_loss": 0.4561130106449127,
|
1797 |
+
"eval_runtime": 44.252,
|
1798 |
+
"eval_samples_per_second": 132.559,
|
1799 |
+
"eval_steps_per_second": 4.158,
|
1800 |
+
"step": 2887
|
1801 |
+
},
|
1802 |
+
{
|
1803 |
+
"epoch": 7.01,
|
1804 |
+
"learning_rate": 1.6585760517799352e-05,
|
1805 |
+
"loss": 0.3441,
|
1806 |
+
"step": 2890
|
1807 |
+
},
|
1808 |
+
{
|
1809 |
+
"epoch": 7.03,
|
1810 |
+
"learning_rate": 1.645091693635383e-05,
|
1811 |
+
"loss": 0.3618,
|
1812 |
+
"step": 2900
|
1813 |
+
},
|
1814 |
+
{
|
1815 |
+
"epoch": 7.05,
|
1816 |
+
"learning_rate": 1.6316073354908307e-05,
|
1817 |
+
"loss": 0.3523,
|
1818 |
+
"step": 2910
|
1819 |
+
},
|
1820 |
+
{
|
1821 |
+
"epoch": 7.08,
|
1822 |
+
"learning_rate": 1.6181229773462782e-05,
|
1823 |
+
"loss": 0.3421,
|
1824 |
+
"step": 2920
|
1825 |
+
},
|
1826 |
+
{
|
1827 |
+
"epoch": 7.1,
|
1828 |
+
"learning_rate": 1.604638619201726e-05,
|
1829 |
+
"loss": 0.342,
|
1830 |
+
"step": 2930
|
1831 |
+
},
|
1832 |
+
{
|
1833 |
+
"epoch": 7.13,
|
1834 |
+
"learning_rate": 1.5911542610571736e-05,
|
1835 |
+
"loss": 0.3646,
|
1836 |
+
"step": 2940
|
1837 |
+
},
|
1838 |
+
{
|
1839 |
+
"epoch": 7.15,
|
1840 |
+
"learning_rate": 1.5776699029126215e-05,
|
1841 |
+
"loss": 0.3115,
|
1842 |
+
"step": 2950
|
1843 |
+
},
|
1844 |
+
{
|
1845 |
+
"epoch": 7.18,
|
1846 |
+
"learning_rate": 1.564185544768069e-05,
|
1847 |
+
"loss": 0.3539,
|
1848 |
+
"step": 2960
|
1849 |
+
},
|
1850 |
+
{
|
1851 |
+
"epoch": 7.2,
|
1852 |
+
"learning_rate": 1.550701186623517e-05,
|
1853 |
+
"loss": 0.3236,
|
1854 |
+
"step": 2970
|
1855 |
+
},
|
1856 |
+
{
|
1857 |
+
"epoch": 7.22,
|
1858 |
+
"learning_rate": 1.5372168284789645e-05,
|
1859 |
+
"loss": 0.3603,
|
1860 |
+
"step": 2980
|
1861 |
+
},
|
1862 |
+
{
|
1863 |
+
"epoch": 7.25,
|
1864 |
+
"learning_rate": 1.5237324703344123e-05,
|
1865 |
+
"loss": 0.3449,
|
1866 |
+
"step": 2990
|
1867 |
+
},
|
1868 |
+
{
|
1869 |
+
"epoch": 7.27,
|
1870 |
+
"learning_rate": 1.5102481121898598e-05,
|
1871 |
+
"loss": 0.3477,
|
1872 |
+
"step": 3000
|
1873 |
+
},
|
1874 |
+
{
|
1875 |
+
"epoch": 7.3,
|
1876 |
+
"learning_rate": 1.4967637540453075e-05,
|
1877 |
+
"loss": 0.364,
|
1878 |
+
"step": 3010
|
1879 |
+
},
|
1880 |
+
{
|
1881 |
+
"epoch": 7.32,
|
1882 |
+
"learning_rate": 1.483279395900755e-05,
|
1883 |
+
"loss": 0.37,
|
1884 |
+
"step": 3020
|
1885 |
+
},
|
1886 |
+
{
|
1887 |
+
"epoch": 7.35,
|
1888 |
+
"learning_rate": 1.4697950377562028e-05,
|
1889 |
+
"loss": 0.3719,
|
1890 |
+
"step": 3030
|
1891 |
+
},
|
1892 |
+
{
|
1893 |
+
"epoch": 7.37,
|
1894 |
+
"learning_rate": 1.4563106796116505e-05,
|
1895 |
+
"loss": 0.358,
|
1896 |
+
"step": 3040
|
1897 |
+
},
|
1898 |
+
{
|
1899 |
+
"epoch": 7.39,
|
1900 |
+
"learning_rate": 1.442826321467098e-05,
|
1901 |
+
"loss": 0.3529,
|
1902 |
+
"step": 3050
|
1903 |
+
},
|
1904 |
+
{
|
1905 |
+
"epoch": 7.42,
|
1906 |
+
"learning_rate": 1.4293419633225461e-05,
|
1907 |
+
"loss": 0.3502,
|
1908 |
+
"step": 3060
|
1909 |
+
},
|
1910 |
+
{
|
1911 |
+
"epoch": 7.44,
|
1912 |
+
"learning_rate": 1.4158576051779937e-05,
|
1913 |
+
"loss": 0.3708,
|
1914 |
+
"step": 3070
|
1915 |
+
},
|
1916 |
+
{
|
1917 |
+
"epoch": 7.47,
|
1918 |
+
"learning_rate": 1.4023732470334414e-05,
|
1919 |
+
"loss": 0.3221,
|
1920 |
+
"step": 3080
|
1921 |
+
},
|
1922 |
+
{
|
1923 |
+
"epoch": 7.49,
|
1924 |
+
"learning_rate": 1.388888888888889e-05,
|
1925 |
+
"loss": 0.3511,
|
1926 |
+
"step": 3090
|
1927 |
+
},
|
1928 |
+
{
|
1929 |
+
"epoch": 7.52,
|
1930 |
+
"learning_rate": 1.3754045307443367e-05,
|
1931 |
+
"loss": 0.333,
|
1932 |
+
"step": 3100
|
1933 |
+
},
|
1934 |
+
{
|
1935 |
+
"epoch": 7.54,
|
1936 |
+
"learning_rate": 1.3619201725997844e-05,
|
1937 |
+
"loss": 0.3606,
|
1938 |
+
"step": 3110
|
1939 |
+
},
|
1940 |
+
{
|
1941 |
+
"epoch": 7.56,
|
1942 |
+
"learning_rate": 1.348435814455232e-05,
|
1943 |
+
"loss": 0.3492,
|
1944 |
+
"step": 3120
|
1945 |
+
},
|
1946 |
+
{
|
1947 |
+
"epoch": 7.59,
|
1948 |
+
"learning_rate": 1.3349514563106797e-05,
|
1949 |
+
"loss": 0.3365,
|
1950 |
+
"step": 3130
|
1951 |
+
},
|
1952 |
+
{
|
1953 |
+
"epoch": 7.61,
|
1954 |
+
"learning_rate": 1.3214670981661272e-05,
|
1955 |
+
"loss": 0.3551,
|
1956 |
+
"step": 3140
|
1957 |
+
},
|
1958 |
+
{
|
1959 |
+
"epoch": 7.64,
|
1960 |
+
"learning_rate": 1.307982740021575e-05,
|
1961 |
+
"loss": 0.362,
|
1962 |
+
"step": 3150
|
1963 |
+
},
|
1964 |
+
{
|
1965 |
+
"epoch": 7.66,
|
1966 |
+
"learning_rate": 1.2944983818770227e-05,
|
1967 |
+
"loss": 0.3274,
|
1968 |
+
"step": 3160
|
1969 |
+
},
|
1970 |
+
{
|
1971 |
+
"epoch": 7.68,
|
1972 |
+
"learning_rate": 1.2810140237324702e-05,
|
1973 |
+
"loss": 0.329,
|
1974 |
+
"step": 3170
|
1975 |
+
},
|
1976 |
+
{
|
1977 |
+
"epoch": 7.71,
|
1978 |
+
"learning_rate": 1.2675296655879181e-05,
|
1979 |
+
"loss": 0.352,
|
1980 |
+
"step": 3180
|
1981 |
+
},
|
1982 |
+
{
|
1983 |
+
"epoch": 7.73,
|
1984 |
+
"learning_rate": 1.2540453074433658e-05,
|
1985 |
+
"loss": 0.3475,
|
1986 |
+
"step": 3190
|
1987 |
+
},
|
1988 |
+
{
|
1989 |
+
"epoch": 7.76,
|
1990 |
+
"learning_rate": 1.2405609492988135e-05,
|
1991 |
+
"loss": 0.3418,
|
1992 |
+
"step": 3200
|
1993 |
+
},
|
1994 |
+
{
|
1995 |
+
"epoch": 7.78,
|
1996 |
+
"learning_rate": 1.2270765911542611e-05,
|
1997 |
+
"loss": 0.3795,
|
1998 |
+
"step": 3210
|
1999 |
+
},
|
2000 |
+
{
|
2001 |
+
"epoch": 7.81,
|
2002 |
+
"learning_rate": 1.2135922330097088e-05,
|
2003 |
+
"loss": 0.3549,
|
2004 |
+
"step": 3220
|
2005 |
+
},
|
2006 |
+
{
|
2007 |
+
"epoch": 7.83,
|
2008 |
+
"learning_rate": 1.2001078748651565e-05,
|
2009 |
+
"loss": 0.3421,
|
2010 |
+
"step": 3230
|
2011 |
+
},
|
2012 |
+
{
|
2013 |
+
"epoch": 7.85,
|
2014 |
+
"learning_rate": 1.1866235167206041e-05,
|
2015 |
+
"loss": 0.3171,
|
2016 |
+
"step": 3240
|
2017 |
+
},
|
2018 |
+
{
|
2019 |
+
"epoch": 7.88,
|
2020 |
+
"learning_rate": 1.1731391585760518e-05,
|
2021 |
+
"loss": 0.3513,
|
2022 |
+
"step": 3250
|
2023 |
+
},
|
2024 |
+
{
|
2025 |
+
"epoch": 7.9,
|
2026 |
+
"learning_rate": 1.1596548004314995e-05,
|
2027 |
+
"loss": 0.3514,
|
2028 |
+
"step": 3260
|
2029 |
+
},
|
2030 |
+
{
|
2031 |
+
"epoch": 7.93,
|
2032 |
+
"learning_rate": 1.1461704422869473e-05,
|
2033 |
+
"loss": 0.3622,
|
2034 |
+
"step": 3270
|
2035 |
+
},
|
2036 |
+
{
|
2037 |
+
"epoch": 7.95,
|
2038 |
+
"learning_rate": 1.1326860841423948e-05,
|
2039 |
+
"loss": 0.3541,
|
2040 |
+
"step": 3280
|
2041 |
+
},
|
2042 |
+
{
|
2043 |
+
"epoch": 7.98,
|
2044 |
+
"learning_rate": 1.1192017259978425e-05,
|
2045 |
+
"loss": 0.3734,
|
2046 |
+
"step": 3290
|
2047 |
+
},
|
2048 |
+
{
|
2049 |
+
"epoch": 8.0,
|
2050 |
+
"learning_rate": 1.1057173678532903e-05,
|
2051 |
+
"loss": 0.3231,
|
2052 |
+
"step": 3300
|
2053 |
+
},
|
2054 |
+
{
|
2055 |
+
"epoch": 8.0,
|
2056 |
+
"eval_accuracy": 0.7783839072621889,
|
2057 |
+
"eval_loss": 0.4504648447036743,
|
2058 |
+
"eval_runtime": 43.9275,
|
2059 |
+
"eval_samples_per_second": 133.538,
|
2060 |
+
"eval_steps_per_second": 4.189,
|
2061 |
+
"step": 3300
|
2062 |
+
},
|
2063 |
+
{
|
2064 |
+
"epoch": 8.02,
|
2065 |
+
"learning_rate": 1.0922330097087378e-05,
|
2066 |
+
"loss": 0.3522,
|
2067 |
+
"step": 3310
|
2068 |
+
},
|
2069 |
+
{
|
2070 |
+
"epoch": 8.05,
|
2071 |
+
"learning_rate": 1.0787486515641857e-05,
|
2072 |
+
"loss": 0.3337,
|
2073 |
+
"step": 3320
|
2074 |
+
},
|
2075 |
+
{
|
2076 |
+
"epoch": 8.07,
|
2077 |
+
"learning_rate": 1.0652642934196332e-05,
|
2078 |
+
"loss": 0.2974,
|
2079 |
+
"step": 3330
|
2080 |
+
},
|
2081 |
+
{
|
2082 |
+
"epoch": 8.1,
|
2083 |
+
"learning_rate": 1.051779935275081e-05,
|
2084 |
+
"loss": 0.3454,
|
2085 |
+
"step": 3340
|
2086 |
+
},
|
2087 |
+
{
|
2088 |
+
"epoch": 8.12,
|
2089 |
+
"learning_rate": 1.0382955771305287e-05,
|
2090 |
+
"loss": 0.3054,
|
2091 |
+
"step": 3350
|
2092 |
+
},
|
2093 |
+
{
|
2094 |
+
"epoch": 8.15,
|
2095 |
+
"learning_rate": 1.0248112189859762e-05,
|
2096 |
+
"loss": 0.3125,
|
2097 |
+
"step": 3360
|
2098 |
+
},
|
2099 |
+
{
|
2100 |
+
"epoch": 8.17,
|
2101 |
+
"learning_rate": 1.0113268608414241e-05,
|
2102 |
+
"loss": 0.3233,
|
2103 |
+
"step": 3370
|
2104 |
+
},
|
2105 |
+
{
|
2106 |
+
"epoch": 8.19,
|
2107 |
+
"learning_rate": 9.978425026968717e-06,
|
2108 |
+
"loss": 0.3265,
|
2109 |
+
"step": 3380
|
2110 |
+
},
|
2111 |
+
{
|
2112 |
+
"epoch": 8.22,
|
2113 |
+
"learning_rate": 9.843581445523194e-06,
|
2114 |
+
"loss": 0.3262,
|
2115 |
+
"step": 3390
|
2116 |
+
},
|
2117 |
+
{
|
2118 |
+
"epoch": 8.24,
|
2119 |
+
"learning_rate": 9.70873786407767e-06,
|
2120 |
+
"loss": 0.3339,
|
2121 |
+
"step": 3400
|
2122 |
+
},
|
2123 |
+
{
|
2124 |
+
"epoch": 8.27,
|
2125 |
+
"learning_rate": 9.573894282632147e-06,
|
2126 |
+
"loss": 0.3501,
|
2127 |
+
"step": 3410
|
2128 |
+
},
|
2129 |
+
{
|
2130 |
+
"epoch": 8.29,
|
2131 |
+
"learning_rate": 9.439050701186624e-06,
|
2132 |
+
"loss": 0.3319,
|
2133 |
+
"step": 3420
|
2134 |
+
},
|
2135 |
+
{
|
2136 |
+
"epoch": 8.32,
|
2137 |
+
"learning_rate": 9.304207119741101e-06,
|
2138 |
+
"loss": 0.3193,
|
2139 |
+
"step": 3430
|
2140 |
+
},
|
2141 |
+
{
|
2142 |
+
"epoch": 8.34,
|
2143 |
+
"learning_rate": 9.169363538295578e-06,
|
2144 |
+
"loss": 0.3383,
|
2145 |
+
"step": 3440
|
2146 |
+
},
|
2147 |
+
{
|
2148 |
+
"epoch": 8.36,
|
2149 |
+
"learning_rate": 9.034519956850054e-06,
|
2150 |
+
"loss": 0.3369,
|
2151 |
+
"step": 3450
|
2152 |
+
},
|
2153 |
+
{
|
2154 |
+
"epoch": 8.39,
|
2155 |
+
"learning_rate": 8.899676375404531e-06,
|
2156 |
+
"loss": 0.3473,
|
2157 |
+
"step": 3460
|
2158 |
+
},
|
2159 |
+
{
|
2160 |
+
"epoch": 8.41,
|
2161 |
+
"learning_rate": 8.764832793959007e-06,
|
2162 |
+
"loss": 0.315,
|
2163 |
+
"step": 3470
|
2164 |
+
},
|
2165 |
+
{
|
2166 |
+
"epoch": 8.44,
|
2167 |
+
"learning_rate": 8.629989212513486e-06,
|
2168 |
+
"loss": 0.3416,
|
2169 |
+
"step": 3480
|
2170 |
+
},
|
2171 |
+
{
|
2172 |
+
"epoch": 8.46,
|
2173 |
+
"learning_rate": 8.495145631067963e-06,
|
2174 |
+
"loss": 0.3297,
|
2175 |
+
"step": 3490
|
2176 |
+
},
|
2177 |
+
{
|
2178 |
+
"epoch": 8.48,
|
2179 |
+
"learning_rate": 8.360302049622438e-06,
|
2180 |
+
"loss": 0.3263,
|
2181 |
+
"step": 3500
|
2182 |
+
},
|
2183 |
+
{
|
2184 |
+
"epoch": 8.51,
|
2185 |
+
"learning_rate": 8.225458468176916e-06,
|
2186 |
+
"loss": 0.3569,
|
2187 |
+
"step": 3510
|
2188 |
+
},
|
2189 |
+
{
|
2190 |
+
"epoch": 8.53,
|
2191 |
+
"learning_rate": 8.090614886731391e-06,
|
2192 |
+
"loss": 0.3299,
|
2193 |
+
"step": 3520
|
2194 |
+
},
|
2195 |
+
{
|
2196 |
+
"epoch": 8.56,
|
2197 |
+
"learning_rate": 7.955771305285868e-06,
|
2198 |
+
"loss": 0.3346,
|
2199 |
+
"step": 3530
|
2200 |
+
},
|
2201 |
+
{
|
2202 |
+
"epoch": 8.58,
|
2203 |
+
"learning_rate": 7.820927723840345e-06,
|
2204 |
+
"loss": 0.3047,
|
2205 |
+
"step": 3540
|
2206 |
+
},
|
2207 |
+
{
|
2208 |
+
"epoch": 8.61,
|
2209 |
+
"learning_rate": 7.686084142394823e-06,
|
2210 |
+
"loss": 0.336,
|
2211 |
+
"step": 3550
|
2212 |
+
},
|
2213 |
+
{
|
2214 |
+
"epoch": 8.63,
|
2215 |
+
"learning_rate": 7.551240560949299e-06,
|
2216 |
+
"loss": 0.3207,
|
2217 |
+
"step": 3560
|
2218 |
+
},
|
2219 |
+
{
|
2220 |
+
"epoch": 8.65,
|
2221 |
+
"learning_rate": 7.416396979503775e-06,
|
2222 |
+
"loss": 0.3171,
|
2223 |
+
"step": 3570
|
2224 |
+
},
|
2225 |
+
{
|
2226 |
+
"epoch": 8.68,
|
2227 |
+
"learning_rate": 7.281553398058253e-06,
|
2228 |
+
"loss": 0.3186,
|
2229 |
+
"step": 3580
|
2230 |
+
},
|
2231 |
+
{
|
2232 |
+
"epoch": 8.7,
|
2233 |
+
"learning_rate": 7.146709816612731e-06,
|
2234 |
+
"loss": 0.3307,
|
2235 |
+
"step": 3590
|
2236 |
+
},
|
2237 |
+
{
|
2238 |
+
"epoch": 8.73,
|
2239 |
+
"learning_rate": 7.011866235167207e-06,
|
2240 |
+
"loss": 0.3409,
|
2241 |
+
"step": 3600
|
2242 |
+
},
|
2243 |
+
{
|
2244 |
+
"epoch": 8.75,
|
2245 |
+
"learning_rate": 6.877022653721683e-06,
|
2246 |
+
"loss": 0.324,
|
2247 |
+
"step": 3610
|
2248 |
+
},
|
2249 |
+
{
|
2250 |
+
"epoch": 8.78,
|
2251 |
+
"learning_rate": 6.74217907227616e-06,
|
2252 |
+
"loss": 0.3397,
|
2253 |
+
"step": 3620
|
2254 |
+
},
|
2255 |
+
{
|
2256 |
+
"epoch": 8.8,
|
2257 |
+
"learning_rate": 6.607335490830636e-06,
|
2258 |
+
"loss": 0.3437,
|
2259 |
+
"step": 3630
|
2260 |
+
},
|
2261 |
+
{
|
2262 |
+
"epoch": 8.82,
|
2263 |
+
"learning_rate": 6.472491909385113e-06,
|
2264 |
+
"loss": 0.3441,
|
2265 |
+
"step": 3640
|
2266 |
+
},
|
2267 |
+
{
|
2268 |
+
"epoch": 8.85,
|
2269 |
+
"learning_rate": 6.3376483279395905e-06,
|
2270 |
+
"loss": 0.3405,
|
2271 |
+
"step": 3650
|
2272 |
+
},
|
2273 |
+
{
|
2274 |
+
"epoch": 8.87,
|
2275 |
+
"learning_rate": 6.202804746494068e-06,
|
2276 |
+
"loss": 0.3191,
|
2277 |
+
"step": 3660
|
2278 |
+
},
|
2279 |
+
{
|
2280 |
+
"epoch": 8.9,
|
2281 |
+
"learning_rate": 6.067961165048544e-06,
|
2282 |
+
"loss": 0.334,
|
2283 |
+
"step": 3670
|
2284 |
+
},
|
2285 |
+
{
|
2286 |
+
"epoch": 8.92,
|
2287 |
+
"learning_rate": 5.9331175836030205e-06,
|
2288 |
+
"loss": 0.3244,
|
2289 |
+
"step": 3680
|
2290 |
+
},
|
2291 |
+
{
|
2292 |
+
"epoch": 8.95,
|
2293 |
+
"learning_rate": 5.798274002157498e-06,
|
2294 |
+
"loss": 0.3257,
|
2295 |
+
"step": 3690
|
2296 |
+
},
|
2297 |
+
{
|
2298 |
+
"epoch": 8.97,
|
2299 |
+
"learning_rate": 5.663430420711974e-06,
|
2300 |
+
"loss": 0.3201,
|
2301 |
+
"step": 3700
|
2302 |
+
},
|
2303 |
+
{
|
2304 |
+
"epoch": 8.99,
|
2305 |
+
"learning_rate": 5.528586839266451e-06,
|
2306 |
+
"loss": 0.3295,
|
2307 |
+
"step": 3710
|
2308 |
+
},
|
2309 |
+
{
|
2310 |
+
"epoch": 9.0,
|
2311 |
+
"eval_accuracy": 0.7788953290146607,
|
2312 |
+
"eval_loss": 0.4606703519821167,
|
2313 |
+
"eval_runtime": 43.9193,
|
2314 |
+
"eval_samples_per_second": 133.563,
|
2315 |
+
"eval_steps_per_second": 4.19,
|
2316 |
+
"step": 3712
|
2317 |
+
},
|
2318 |
+
{
|
2319 |
+
"epoch": 9.02,
|
2320 |
+
"learning_rate": 5.3937432578209285e-06,
|
2321 |
+
"loss": 0.2991,
|
2322 |
+
"step": 3720
|
2323 |
+
},
|
2324 |
+
{
|
2325 |
+
"epoch": 9.04,
|
2326 |
+
"learning_rate": 5.258899676375405e-06,
|
2327 |
+
"loss": 0.2793,
|
2328 |
+
"step": 3730
|
2329 |
+
},
|
2330 |
+
{
|
2331 |
+
"epoch": 9.07,
|
2332 |
+
"learning_rate": 5.124056094929881e-06,
|
2333 |
+
"loss": 0.3362,
|
2334 |
+
"step": 3740
|
2335 |
+
},
|
2336 |
+
{
|
2337 |
+
"epoch": 9.09,
|
2338 |
+
"learning_rate": 4.989212513484358e-06,
|
2339 |
+
"loss": 0.3433,
|
2340 |
+
"step": 3750
|
2341 |
+
},
|
2342 |
+
{
|
2343 |
+
"epoch": 9.12,
|
2344 |
+
"learning_rate": 4.854368932038835e-06,
|
2345 |
+
"loss": 0.2879,
|
2346 |
+
"step": 3760
|
2347 |
+
},
|
2348 |
+
{
|
2349 |
+
"epoch": 9.14,
|
2350 |
+
"learning_rate": 4.719525350593312e-06,
|
2351 |
+
"loss": 0.3276,
|
2352 |
+
"step": 3770
|
2353 |
+
},
|
2354 |
+
{
|
2355 |
+
"epoch": 9.16,
|
2356 |
+
"learning_rate": 4.584681769147789e-06,
|
2357 |
+
"loss": 0.3038,
|
2358 |
+
"step": 3780
|
2359 |
+
},
|
2360 |
+
{
|
2361 |
+
"epoch": 9.19,
|
2362 |
+
"learning_rate": 4.4498381877022656e-06,
|
2363 |
+
"loss": 0.3275,
|
2364 |
+
"step": 3790
|
2365 |
+
},
|
2366 |
+
{
|
2367 |
+
"epoch": 9.21,
|
2368 |
+
"learning_rate": 4.314994606256743e-06,
|
2369 |
+
"loss": 0.3071,
|
2370 |
+
"step": 3800
|
2371 |
+
},
|
2372 |
+
{
|
2373 |
+
"epoch": 9.24,
|
2374 |
+
"learning_rate": 4.180151024811219e-06,
|
2375 |
+
"loss": 0.3513,
|
2376 |
+
"step": 3810
|
2377 |
+
},
|
2378 |
+
{
|
2379 |
+
"epoch": 9.26,
|
2380 |
+
"learning_rate": 4.0453074433656955e-06,
|
2381 |
+
"loss": 0.3253,
|
2382 |
+
"step": 3820
|
2383 |
+
},
|
2384 |
+
{
|
2385 |
+
"epoch": 9.28,
|
2386 |
+
"learning_rate": 3.910463861920173e-06,
|
2387 |
+
"loss": 0.3332,
|
2388 |
+
"step": 3830
|
2389 |
+
},
|
2390 |
+
{
|
2391 |
+
"epoch": 9.31,
|
2392 |
+
"learning_rate": 3.7756202804746495e-06,
|
2393 |
+
"loss": 0.3215,
|
2394 |
+
"step": 3840
|
2395 |
+
},
|
2396 |
+
{
|
2397 |
+
"epoch": 9.33,
|
2398 |
+
"learning_rate": 3.6407766990291263e-06,
|
2399 |
+
"loss": 0.3118,
|
2400 |
+
"step": 3850
|
2401 |
+
},
|
2402 |
+
{
|
2403 |
+
"epoch": 9.36,
|
2404 |
+
"learning_rate": 3.5059331175836035e-06,
|
2405 |
+
"loss": 0.3036,
|
2406 |
+
"step": 3860
|
2407 |
+
},
|
2408 |
+
{
|
2409 |
+
"epoch": 9.38,
|
2410 |
+
"learning_rate": 3.37108953613808e-06,
|
2411 |
+
"loss": 0.3008,
|
2412 |
+
"step": 3870
|
2413 |
+
},
|
2414 |
+
{
|
2415 |
+
"epoch": 9.41,
|
2416 |
+
"learning_rate": 3.2362459546925567e-06,
|
2417 |
+
"loss": 0.3381,
|
2418 |
+
"step": 3880
|
2419 |
+
},
|
2420 |
+
{
|
2421 |
+
"epoch": 9.43,
|
2422 |
+
"learning_rate": 3.101402373247034e-06,
|
2423 |
+
"loss": 0.3265,
|
2424 |
+
"step": 3890
|
2425 |
+
},
|
2426 |
+
{
|
2427 |
+
"epoch": 9.45,
|
2428 |
+
"learning_rate": 2.9665587918015102e-06,
|
2429 |
+
"loss": 0.3314,
|
2430 |
+
"step": 3900
|
2431 |
+
},
|
2432 |
+
{
|
2433 |
+
"epoch": 9.48,
|
2434 |
+
"learning_rate": 2.831715210355987e-06,
|
2435 |
+
"loss": 0.3242,
|
2436 |
+
"step": 3910
|
2437 |
+
},
|
2438 |
+
{
|
2439 |
+
"epoch": 9.5,
|
2440 |
+
"learning_rate": 2.6968716289104642e-06,
|
2441 |
+
"loss": 0.3089,
|
2442 |
+
"step": 3920
|
2443 |
+
},
|
2444 |
+
{
|
2445 |
+
"epoch": 9.53,
|
2446 |
+
"learning_rate": 2.5620280474649406e-06,
|
2447 |
+
"loss": 0.3296,
|
2448 |
+
"step": 3930
|
2449 |
+
},
|
2450 |
+
{
|
2451 |
+
"epoch": 9.55,
|
2452 |
+
"learning_rate": 2.4271844660194174e-06,
|
2453 |
+
"loss": 0.3257,
|
2454 |
+
"step": 3940
|
2455 |
+
},
|
2456 |
+
{
|
2457 |
+
"epoch": 9.58,
|
2458 |
+
"learning_rate": 2.2923408845738946e-06,
|
2459 |
+
"loss": 0.364,
|
2460 |
+
"step": 3950
|
2461 |
+
},
|
2462 |
+
{
|
2463 |
+
"epoch": 9.6,
|
2464 |
+
"learning_rate": 2.1574973031283714e-06,
|
2465 |
+
"loss": 0.3389,
|
2466 |
+
"step": 3960
|
2467 |
+
},
|
2468 |
+
{
|
2469 |
+
"epoch": 9.62,
|
2470 |
+
"learning_rate": 2.0226537216828478e-06,
|
2471 |
+
"loss": 0.3048,
|
2472 |
+
"step": 3970
|
2473 |
+
},
|
2474 |
+
{
|
2475 |
+
"epoch": 9.65,
|
2476 |
+
"learning_rate": 1.8878101402373248e-06,
|
2477 |
+
"loss": 0.343,
|
2478 |
+
"step": 3980
|
2479 |
+
},
|
2480 |
+
{
|
2481 |
+
"epoch": 9.67,
|
2482 |
+
"learning_rate": 1.7529665587918018e-06,
|
2483 |
+
"loss": 0.3005,
|
2484 |
+
"step": 3990
|
2485 |
+
},
|
2486 |
+
{
|
2487 |
+
"epoch": 9.7,
|
2488 |
+
"learning_rate": 1.6181229773462783e-06,
|
2489 |
+
"loss": 0.3253,
|
2490 |
+
"step": 4000
|
2491 |
+
},
|
2492 |
+
{
|
2493 |
+
"epoch": 9.72,
|
2494 |
+
"learning_rate": 1.4832793959007551e-06,
|
2495 |
+
"loss": 0.3117,
|
2496 |
+
"step": 4010
|
2497 |
+
},
|
2498 |
+
{
|
2499 |
+
"epoch": 9.75,
|
2500 |
+
"learning_rate": 1.3484358144552321e-06,
|
2501 |
+
"loss": 0.3244,
|
2502 |
+
"step": 4020
|
2503 |
+
},
|
2504 |
+
{
|
2505 |
+
"epoch": 9.77,
|
2506 |
+
"learning_rate": 1.2135922330097087e-06,
|
2507 |
+
"loss": 0.3004,
|
2508 |
+
"step": 4030
|
2509 |
+
},
|
2510 |
+
{
|
2511 |
+
"epoch": 9.79,
|
2512 |
+
"learning_rate": 1.0787486515641857e-06,
|
2513 |
+
"loss": 0.3204,
|
2514 |
+
"step": 4040
|
2515 |
+
},
|
2516 |
+
{
|
2517 |
+
"epoch": 9.82,
|
2518 |
+
"learning_rate": 9.439050701186624e-07,
|
2519 |
+
"loss": 0.3185,
|
2520 |
+
"step": 4050
|
2521 |
+
},
|
2522 |
+
{
|
2523 |
+
"epoch": 9.84,
|
2524 |
+
"learning_rate": 8.090614886731392e-07,
|
2525 |
+
"loss": 0.3223,
|
2526 |
+
"step": 4060
|
2527 |
+
},
|
2528 |
+
{
|
2529 |
+
"epoch": 9.87,
|
2530 |
+
"learning_rate": 6.742179072276161e-07,
|
2531 |
+
"loss": 0.3153,
|
2532 |
+
"step": 4070
|
2533 |
+
},
|
2534 |
+
{
|
2535 |
+
"epoch": 9.89,
|
2536 |
+
"learning_rate": 5.393743257820928e-07,
|
2537 |
+
"loss": 0.3203,
|
2538 |
+
"step": 4080
|
2539 |
+
},
|
2540 |
+
{
|
2541 |
+
"epoch": 9.92,
|
2542 |
+
"learning_rate": 4.045307443365696e-07,
|
2543 |
+
"loss": 0.3241,
|
2544 |
+
"step": 4090
|
2545 |
+
},
|
2546 |
+
{
|
2547 |
+
"epoch": 9.94,
|
2548 |
+
"learning_rate": 2.696871628910464e-07,
|
2549 |
+
"loss": 0.2784,
|
2550 |
+
"step": 4100
|
2551 |
+
},
|
2552 |
+
{
|
2553 |
+
"epoch": 9.96,
|
2554 |
+
"learning_rate": 1.348435814455232e-07,
|
2555 |
+
"loss": 0.328,
|
2556 |
+
"step": 4110
|
2557 |
+
},
|
2558 |
+
{
|
2559 |
+
"epoch": 9.99,
|
2560 |
+
"learning_rate": 0.0,
|
2561 |
+
"loss": 0.321,
|
2562 |
+
"step": 4120
|
2563 |
+
},
|
2564 |
+
{
|
2565 |
+
"epoch": 9.99,
|
2566 |
+
"eval_accuracy": 0.7794067507671326,
|
2567 |
+
"eval_loss": 0.45381179451942444,
|
2568 |
+
"eval_runtime": 43.3941,
|
2569 |
+
"eval_samples_per_second": 135.18,
|
2570 |
+
"eval_steps_per_second": 4.24,
|
2571 |
+
"step": 4120
|
2572 |
+
},
|
2573 |
+
{
|
2574 |
+
"epoch": 9.99,
|
2575 |
+
"step": 4120,
|
2576 |
+
"total_flos": 1.3106102295963156e+19,
|
2577 |
+
"train_loss": 0.3501510629954847,
|
2578 |
+
"train_runtime": 8665.4247,
|
2579 |
+
"train_samples_per_second": 60.918,
|
2580 |
"train_steps_per_second": 0.475
|
2581 |
}
|
2582 |
],
|
2583 |
"logging_steps": 10,
|
2584 |
+
"max_steps": 4120,
|
2585 |
+
"num_train_epochs": 10,
|
2586 |
"save_steps": 500,
|
2587 |
+
"total_flos": 1.3106102295963156e+19,
|
2588 |
"trial_name": null,
|
2589 |
"trial_params": null
|
2590 |
}
|