End of training
Browse files- all_results.json +6 -6
- test_results.json +6 -6
- trainer_state.json +1300 -454
all_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime":
|
6 |
-
"eval_samples_per_second": 1.
|
7 |
-
"eval_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 39.02,
|
3 |
+
"eval_accuracy": 0.6342592592592593,
|
4 |
+
"eval_loss": 0.8682467341423035,
|
5 |
+
"eval_runtime": 165.9338,
|
6 |
+
"eval_samples_per_second": 1.302,
|
7 |
+
"eval_steps_per_second": 0.163
|
8 |
}
|
test_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime":
|
6 |
-
"eval_samples_per_second": 1.
|
7 |
-
"eval_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 39.02,
|
3 |
+
"eval_accuracy": 0.6342592592592593,
|
4 |
+
"eval_loss": 0.8682467341423035,
|
5 |
+
"eval_runtime": 165.9338,
|
6 |
+
"eval_samples_per_second": 1.302,
|
7 |
+
"eval_steps_per_second": 0.163
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,893 +1,1739 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
-
"best_model_checkpoint": "videomae-base-finetuned-subset-check10/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.
|
13 |
-
"learning_rate":
|
14 |
-
"loss": 1.
|
15 |
"step": 10
|
16 |
},
|
17 |
{
|
18 |
-
"epoch": 0.
|
19 |
-
"learning_rate":
|
20 |
-
"loss": 1.
|
21 |
"step": 20
|
22 |
},
|
23 |
{
|
24 |
-
"epoch": 0.
|
25 |
-
"learning_rate":
|
26 |
-
"loss": 1.
|
27 |
"step": 30
|
28 |
},
|
29 |
{
|
30 |
-
"epoch": 0.
|
31 |
-
"learning_rate":
|
32 |
-
"loss": 1.
|
33 |
"step": 40
|
34 |
},
|
35 |
{
|
36 |
-
"epoch": 0.
|
37 |
-
"learning_rate":
|
38 |
-
"loss": 1.
|
39 |
"step": 50
|
40 |
},
|
41 |
{
|
42 |
-
"epoch": 0.
|
43 |
-
"eval_accuracy": 0.
|
44 |
-
"eval_loss": 1.
|
45 |
-
"eval_runtime":
|
46 |
-
"eval_samples_per_second": 1.
|
47 |
-
"eval_steps_per_second": 0.
|
48 |
"step": 56
|
49 |
},
|
50 |
{
|
51 |
"epoch": 1.0,
|
52 |
-
"learning_rate":
|
53 |
-
"loss": 1.
|
54 |
"step": 60
|
55 |
},
|
56 |
{
|
57 |
"epoch": 1.01,
|
58 |
-
"learning_rate":
|
59 |
-
"loss": 1.
|
60 |
"step": 70
|
61 |
},
|
62 |
{
|
63 |
-
"epoch": 1.
|
64 |
-
"learning_rate":
|
65 |
-
"loss": 1.
|
66 |
"step": 80
|
67 |
},
|
68 |
{
|
69 |
-
"epoch": 1.
|
70 |
-
"learning_rate":
|
71 |
-
"loss": 1.
|
72 |
"step": 90
|
73 |
},
|
74 |
{
|
75 |
-
"epoch": 1.
|
76 |
-
"learning_rate":
|
77 |
-
"loss": 1.
|
78 |
"step": 100
|
79 |
},
|
80 |
{
|
81 |
-
"epoch": 1.
|
82 |
-
"learning_rate":
|
83 |
-
"loss": 1.
|
84 |
"step": 110
|
85 |
},
|
86 |
{
|
87 |
-
"epoch": 1.
|
88 |
-
"eval_accuracy": 0.
|
89 |
-
"eval_loss": 1.
|
90 |
-
"eval_runtime":
|
91 |
-
"eval_samples_per_second": 1.
|
92 |
-
"eval_steps_per_second": 0.
|
93 |
"step": 112
|
94 |
},
|
95 |
{
|
96 |
-
"epoch": 2.
|
97 |
-
"learning_rate":
|
98 |
-
"loss": 1.
|
99 |
"step": 120
|
100 |
},
|
101 |
{
|
102 |
-
"epoch": 2.
|
103 |
-
"learning_rate":
|
104 |
-
"loss": 1.
|
105 |
"step": 130
|
106 |
},
|
107 |
{
|
108 |
-
"epoch": 2.
|
109 |
-
"learning_rate":
|
110 |
-
"loss": 1.
|
111 |
"step": 140
|
112 |
},
|
113 |
{
|
114 |
-
"epoch": 2.
|
115 |
-
"learning_rate":
|
116 |
-
"loss": 1.
|
117 |
"step": 150
|
118 |
},
|
119 |
{
|
120 |
-
"epoch": 2.
|
121 |
-
"learning_rate":
|
122 |
-
"loss": 1.
|
123 |
"step": 160
|
124 |
},
|
125 |
{
|
126 |
-
"epoch": 2.
|
127 |
-
"eval_accuracy": 0.
|
128 |
-
"eval_loss": 1.
|
129 |
-
"eval_runtime":
|
130 |
-
"eval_samples_per_second": 1.
|
131 |
-
"eval_steps_per_second": 0.
|
132 |
"step": 168
|
133 |
},
|
134 |
{
|
135 |
"epoch": 3.0,
|
136 |
-
"learning_rate":
|
137 |
-
"loss": 1.
|
138 |
"step": 170
|
139 |
},
|
140 |
{
|
141 |
"epoch": 3.01,
|
142 |
-
"learning_rate":
|
143 |
-
"loss": 1.
|
144 |
"step": 180
|
145 |
},
|
146 |
{
|
147 |
-
"epoch": 3.
|
148 |
-
"learning_rate":
|
149 |
-
"loss": 1.
|
150 |
"step": 190
|
151 |
},
|
152 |
{
|
153 |
-
"epoch": 3.
|
154 |
-
"learning_rate": 9.
|
155 |
-
"loss": 1.
|
156 |
"step": 200
|
157 |
},
|
158 |
{
|
159 |
-
"epoch": 3.
|
160 |
-
"learning_rate": 9.
|
161 |
-
"loss": 1.
|
162 |
"step": 210
|
163 |
},
|
164 |
{
|
165 |
-
"epoch": 3.
|
166 |
-
"learning_rate":
|
167 |
-
"loss": 1.
|
168 |
"step": 220
|
169 |
},
|
170 |
{
|
171 |
-
"epoch": 3.
|
172 |
-
"eval_accuracy": 0.
|
173 |
-
"eval_loss": 1.
|
174 |
-
"eval_runtime":
|
175 |
-
"eval_samples_per_second": 1.
|
176 |
-
"eval_steps_per_second": 0.
|
177 |
"step": 224
|
178 |
},
|
179 |
{
|
180 |
-
"epoch": 4.
|
181 |
-
"learning_rate":
|
182 |
-
"loss": 1.
|
183 |
"step": 230
|
184 |
},
|
185 |
{
|
186 |
"epoch": 4.01,
|
187 |
-
"learning_rate":
|
188 |
-
"loss": 1.
|
189 |
"step": 240
|
190 |
},
|
191 |
{
|
192 |
-
"epoch": 4.
|
193 |
-
"learning_rate":
|
194 |
-
"loss": 1.
|
195 |
"step": 250
|
196 |
},
|
197 |
{
|
198 |
-
"epoch": 4.
|
199 |
-
"learning_rate":
|
200 |
-
"loss": 1.
|
201 |
"step": 260
|
202 |
},
|
203 |
{
|
204 |
-
"epoch": 4.
|
205 |
-
"learning_rate":
|
206 |
-
"loss": 1.
|
207 |
"step": 270
|
208 |
},
|
209 |
{
|
210 |
-
"epoch": 4.
|
211 |
-
"learning_rate":
|
212 |
-
"loss": 1.
|
213 |
"step": 280
|
214 |
},
|
215 |
{
|
216 |
-
"epoch": 4.
|
217 |
-
"eval_accuracy": 0.
|
218 |
-
"eval_loss": 1.
|
219 |
-
"eval_runtime": 165.
|
220 |
-
"eval_samples_per_second": 1.
|
221 |
-
"eval_steps_per_second": 0.
|
222 |
"step": 280
|
223 |
},
|
224 |
{
|
225 |
-
"epoch": 5.
|
226 |
-
"learning_rate":
|
227 |
-
"loss": 1.
|
228 |
"step": 290
|
229 |
},
|
230 |
{
|
231 |
-
"epoch": 5.
|
232 |
-
"learning_rate":
|
233 |
-
"loss": 1.
|
234 |
"step": 300
|
235 |
},
|
236 |
{
|
237 |
-
"epoch": 5.
|
238 |
-
"learning_rate":
|
239 |
-
"loss": 1.
|
240 |
"step": 310
|
241 |
},
|
242 |
{
|
243 |
-
"epoch": 5.
|
244 |
-
"learning_rate":
|
245 |
-
"loss": 1.
|
246 |
"step": 320
|
247 |
},
|
248 |
{
|
249 |
-
"epoch": 5.
|
250 |
-
"learning_rate":
|
251 |
-
"loss": 1.
|
252 |
"step": 330
|
253 |
},
|
254 |
{
|
255 |
-
"epoch": 5.
|
256 |
-
"eval_accuracy": 0.
|
257 |
-
"eval_loss": 1.
|
258 |
-
"eval_runtime":
|
259 |
-
"eval_samples_per_second": 1.
|
260 |
-
"eval_steps_per_second": 0.
|
261 |
"step": 336
|
262 |
},
|
263 |
{
|
264 |
"epoch": 6.0,
|
265 |
-
"learning_rate":
|
266 |
-
"loss": 1.
|
267 |
"step": 340
|
268 |
},
|
269 |
{
|
270 |
"epoch": 6.01,
|
271 |
-
"learning_rate":
|
272 |
-
"loss": 1.
|
273 |
"step": 350
|
274 |
},
|
275 |
{
|
276 |
-
"epoch": 6.
|
277 |
-
"learning_rate":
|
278 |
-
"loss": 1.
|
279 |
"step": 360
|
280 |
},
|
281 |
{
|
282 |
-
"epoch": 6.
|
283 |
-
"learning_rate":
|
284 |
-
"loss": 1.
|
285 |
"step": 370
|
286 |
},
|
287 |
{
|
288 |
-
"epoch": 6.
|
289 |
-
"learning_rate":
|
290 |
-
"loss": 1.
|
291 |
"step": 380
|
292 |
},
|
293 |
{
|
294 |
-
"epoch": 6.
|
295 |
-
"learning_rate":
|
296 |
-
"loss":
|
297 |
"step": 390
|
298 |
},
|
299 |
{
|
300 |
-
"epoch": 6.
|
301 |
-
"eval_accuracy": 0.
|
302 |
-
"eval_loss":
|
303 |
-
"eval_runtime":
|
304 |
-
"eval_samples_per_second": 1.
|
305 |
-
"eval_steps_per_second": 0.
|
306 |
"step": 392
|
307 |
},
|
308 |
{
|
309 |
-
"epoch": 7.
|
310 |
-
"learning_rate":
|
311 |
-
"loss": 1.
|
312 |
"step": 400
|
313 |
},
|
314 |
{
|
315 |
-
"epoch": 7.
|
316 |
-
"learning_rate":
|
317 |
-
"loss": 1.
|
318 |
"step": 410
|
319 |
},
|
320 |
{
|
321 |
-
"epoch": 7.
|
322 |
-
"learning_rate":
|
323 |
-
"loss":
|
324 |
"step": 420
|
325 |
},
|
326 |
{
|
327 |
-
"epoch": 7.
|
328 |
-
"learning_rate":
|
329 |
-
"loss": 1.
|
330 |
"step": 430
|
331 |
},
|
332 |
{
|
333 |
-
"epoch": 7.
|
334 |
-
"learning_rate":
|
335 |
-
"loss":
|
336 |
"step": 440
|
337 |
},
|
338 |
{
|
339 |
-
"epoch": 7.
|
340 |
-
"eval_accuracy": 0.
|
341 |
-
"eval_loss":
|
342 |
-
"eval_runtime":
|
343 |
-
"eval_samples_per_second": 1.
|
344 |
-
"eval_steps_per_second": 0.
|
345 |
"step": 448
|
346 |
},
|
347 |
{
|
348 |
"epoch": 8.0,
|
349 |
-
"learning_rate":
|
350 |
-
"loss": 1.
|
351 |
"step": 450
|
352 |
},
|
353 |
{
|
354 |
"epoch": 8.01,
|
355 |
-
"learning_rate":
|
356 |
-
"loss":
|
357 |
"step": 460
|
358 |
},
|
359 |
{
|
360 |
-
"epoch": 8.
|
361 |
-
"learning_rate":
|
362 |
-
"loss": 1.
|
363 |
"step": 470
|
364 |
},
|
365 |
{
|
366 |
-
"epoch": 8.
|
367 |
-
"learning_rate":
|
368 |
-
"loss": 1.
|
369 |
"step": 480
|
370 |
},
|
371 |
{
|
372 |
-
"epoch": 8.
|
373 |
-
"learning_rate":
|
374 |
-
"loss": 0.
|
375 |
"step": 490
|
376 |
},
|
377 |
{
|
378 |
-
"epoch": 8.
|
379 |
-
"learning_rate":
|
380 |
-
"loss": 0.
|
381 |
"step": 500
|
382 |
},
|
383 |
{
|
384 |
-
"epoch": 8.
|
385 |
-
"eval_accuracy": 0.
|
386 |
-
"eval_loss": 0.
|
387 |
-
"eval_runtime": 165.
|
388 |
-
"eval_samples_per_second": 1.
|
389 |
"eval_steps_per_second": 0.169,
|
390 |
"step": 504
|
391 |
},
|
392 |
{
|
393 |
-
"epoch": 9.
|
394 |
-
"learning_rate":
|
395 |
-
"loss": 0.
|
396 |
"step": 510
|
397 |
},
|
398 |
{
|
399 |
"epoch": 9.01,
|
400 |
-
"learning_rate":
|
401 |
-
"loss":
|
402 |
"step": 520
|
403 |
},
|
404 |
{
|
405 |
-
"epoch": 9.
|
406 |
-
"learning_rate":
|
407 |
-
"loss":
|
408 |
"step": 530
|
409 |
},
|
410 |
{
|
411 |
-
"epoch": 9.
|
412 |
-
"learning_rate":
|
413 |
-
"loss": 0.
|
414 |
"step": 540
|
415 |
},
|
416 |
{
|
417 |
-
"epoch": 9.
|
418 |
-
"learning_rate":
|
419 |
-
"loss": 0.
|
420 |
"step": 550
|
421 |
},
|
422 |
{
|
423 |
-
"epoch": 9.
|
424 |
-
"learning_rate":
|
425 |
-
"loss": 1.
|
426 |
"step": 560
|
427 |
},
|
428 |
{
|
429 |
-
"epoch": 9.
|
430 |
-
"eval_accuracy": 0.
|
431 |
-
"eval_loss": 1.
|
432 |
-
"eval_runtime":
|
433 |
-
"eval_samples_per_second": 1.
|
434 |
-
"eval_steps_per_second": 0.
|
435 |
"step": 560
|
436 |
},
|
437 |
{
|
438 |
-
"epoch": 10.
|
439 |
-
"learning_rate":
|
440 |
-
"loss": 0.
|
441 |
"step": 570
|
442 |
},
|
443 |
{
|
444 |
-
"epoch": 10.
|
445 |
-
"learning_rate":
|
446 |
-
"loss": 0.
|
447 |
"step": 580
|
448 |
},
|
449 |
{
|
450 |
-
"epoch": 10.
|
451 |
-
"learning_rate":
|
452 |
-
"loss":
|
453 |
"step": 590
|
454 |
},
|
455 |
{
|
456 |
-
"epoch": 10.
|
457 |
-
"learning_rate":
|
458 |
-
"loss": 0.
|
459 |
"step": 600
|
460 |
},
|
461 |
{
|
462 |
-
"epoch": 10.
|
463 |
-
"learning_rate":
|
464 |
-
"loss": 0.
|
465 |
"step": 610
|
466 |
},
|
467 |
{
|
468 |
-
"epoch": 10.
|
469 |
-
"eval_accuracy": 0.
|
470 |
-
"eval_loss": 0.
|
471 |
-
"eval_runtime":
|
472 |
-
"eval_samples_per_second": 1.
|
473 |
"eval_steps_per_second": 0.17,
|
474 |
"step": 616
|
475 |
},
|
476 |
{
|
477 |
"epoch": 11.0,
|
478 |
-
"learning_rate":
|
479 |
-
"loss": 0.
|
480 |
"step": 620
|
481 |
},
|
482 |
{
|
483 |
"epoch": 11.01,
|
484 |
-
"learning_rate":
|
485 |
-
"loss": 0.
|
486 |
"step": 630
|
487 |
},
|
488 |
{
|
489 |
-
"epoch": 11.
|
490 |
-
"learning_rate":
|
491 |
-
"loss":
|
492 |
"step": 640
|
493 |
},
|
494 |
{
|
495 |
-
"epoch": 11.
|
496 |
-
"learning_rate":
|
497 |
-
"loss": 0.
|
498 |
"step": 650
|
499 |
},
|
500 |
{
|
501 |
-
"epoch": 11.
|
502 |
-
"learning_rate":
|
503 |
-
"loss": 0.
|
504 |
"step": 660
|
505 |
},
|
506 |
{
|
507 |
-
"epoch": 11.
|
508 |
-
"learning_rate":
|
509 |
-
"loss": 0.
|
510 |
"step": 670
|
511 |
},
|
512 |
{
|
513 |
-
"epoch": 11.
|
514 |
-
"eval_accuracy": 0.
|
515 |
-
"eval_loss": 0.
|
516 |
-
"eval_runtime":
|
517 |
-
"eval_samples_per_second": 1.
|
518 |
-
"eval_steps_per_second": 0.
|
519 |
"step": 672
|
520 |
},
|
521 |
{
|
522 |
-
"epoch": 12.
|
523 |
-
"learning_rate":
|
524 |
-
"loss": 0.
|
525 |
"step": 680
|
526 |
},
|
527 |
{
|
528 |
-
"epoch": 12.
|
529 |
-
"learning_rate":
|
530 |
-
"loss": 0.
|
531 |
"step": 690
|
532 |
},
|
533 |
{
|
534 |
-
"epoch": 12.
|
535 |
-
"learning_rate":
|
536 |
-
"loss": 0.
|
537 |
"step": 700
|
538 |
},
|
539 |
{
|
540 |
-
"epoch": 12.
|
541 |
-
"learning_rate":
|
542 |
-
"loss": 0.
|
543 |
"step": 710
|
544 |
},
|
545 |
{
|
546 |
-
"epoch": 12.
|
547 |
-
"learning_rate":
|
548 |
-
"loss": 0.
|
549 |
"step": 720
|
550 |
},
|
551 |
{
|
552 |
-
"epoch": 12.
|
553 |
-
"eval_accuracy": 0.
|
554 |
-
"eval_loss": 0.
|
555 |
-
"eval_runtime":
|
556 |
-
"eval_samples_per_second": 1.
|
557 |
-
"eval_steps_per_second": 0.
|
558 |
"step": 728
|
559 |
},
|
560 |
{
|
561 |
"epoch": 13.0,
|
562 |
-
"learning_rate":
|
563 |
-
"loss": 0.
|
564 |
"step": 730
|
565 |
},
|
566 |
{
|
567 |
"epoch": 13.01,
|
568 |
-
"learning_rate":
|
569 |
-
"loss": 0.
|
570 |
"step": 740
|
571 |
},
|
572 |
{
|
573 |
-
"epoch": 13.
|
574 |
-
"learning_rate":
|
575 |
-
"loss": 0.
|
576 |
"step": 750
|
577 |
},
|
578 |
{
|
579 |
-
"epoch": 13.
|
580 |
-
"learning_rate":
|
581 |
-
"loss": 0.
|
582 |
"step": 760
|
583 |
},
|
584 |
{
|
585 |
-
"epoch": 13.
|
586 |
-
"learning_rate":
|
587 |
-
"loss": 0.
|
588 |
"step": 770
|
589 |
},
|
590 |
{
|
591 |
-
"epoch": 13.
|
592 |
-
"learning_rate":
|
593 |
-
"loss": 0.
|
594 |
"step": 780
|
595 |
},
|
596 |
{
|
597 |
-
"epoch": 13.
|
598 |
-
"eval_accuracy": 0.
|
599 |
-
"eval_loss": 0.
|
600 |
-
"eval_runtime":
|
601 |
"eval_samples_per_second": 1.315,
|
602 |
"eval_steps_per_second": 0.17,
|
603 |
"step": 784
|
604 |
},
|
605 |
{
|
606 |
-
"epoch": 14.
|
607 |
-
"learning_rate":
|
608 |
-
"loss": 0.
|
609 |
"step": 790
|
610 |
},
|
611 |
{
|
612 |
"epoch": 14.01,
|
613 |
-
"learning_rate":
|
614 |
-
"loss": 0.
|
615 |
"step": 800
|
616 |
},
|
617 |
{
|
618 |
-
"epoch": 14.
|
619 |
-
"learning_rate":
|
620 |
-
"loss": 0.
|
621 |
"step": 810
|
622 |
},
|
623 |
{
|
624 |
-
"epoch": 14.
|
625 |
-
"learning_rate":
|
626 |
-
"loss": 0.
|
627 |
"step": 820
|
628 |
},
|
629 |
{
|
630 |
-
"epoch": 14.
|
631 |
-
"learning_rate":
|
632 |
-
"loss": 0.
|
633 |
"step": 830
|
634 |
},
|
635 |
{
|
636 |
-
"epoch": 14.
|
637 |
-
"learning_rate":
|
638 |
-
"loss": 0.
|
639 |
"step": 840
|
640 |
},
|
641 |
{
|
642 |
-
"epoch": 14.
|
643 |
-
"eval_accuracy": 0.
|
644 |
-
"eval_loss":
|
645 |
-
"eval_runtime":
|
646 |
-
"eval_samples_per_second": 1.
|
647 |
-
"eval_steps_per_second": 0.
|
648 |
"step": 840
|
649 |
},
|
650 |
{
|
651 |
-
"epoch": 15.
|
652 |
-
"learning_rate":
|
653 |
-
"loss": 0.
|
654 |
"step": 850
|
655 |
},
|
656 |
{
|
657 |
-
"epoch": 15.
|
658 |
-
"learning_rate":
|
659 |
-
"loss": 0.
|
660 |
"step": 860
|
661 |
},
|
662 |
{
|
663 |
-
"epoch": 15.
|
664 |
-
"learning_rate":
|
665 |
-
"loss": 0.
|
666 |
"step": 870
|
667 |
},
|
668 |
{
|
669 |
-
"epoch": 15.
|
670 |
-
"learning_rate":
|
671 |
-
"loss": 0.
|
672 |
"step": 880
|
673 |
},
|
674 |
{
|
675 |
-
"epoch": 15.
|
676 |
-
"learning_rate":
|
677 |
-
"loss": 0.
|
678 |
"step": 890
|
679 |
},
|
680 |
{
|
681 |
-
"epoch": 15.
|
682 |
-
"eval_accuracy": 0.
|
683 |
-
"eval_loss": 0.
|
684 |
-
"eval_runtime": 165.
|
685 |
-
"eval_samples_per_second": 1.
|
686 |
"eval_steps_per_second": 0.169,
|
687 |
"step": 896
|
688 |
},
|
689 |
{
|
690 |
"epoch": 16.0,
|
691 |
-
"learning_rate":
|
692 |
-
"loss": 0.
|
693 |
"step": 900
|
694 |
},
|
695 |
{
|
696 |
"epoch": 16.01,
|
697 |
-
"learning_rate":
|
698 |
-
"loss": 0.
|
699 |
"step": 910
|
700 |
},
|
701 |
{
|
702 |
-
"epoch": 16.
|
703 |
-
"learning_rate":
|
704 |
-
"loss": 0.
|
705 |
"step": 920
|
706 |
},
|
707 |
{
|
708 |
-
"epoch": 16.
|
709 |
-
"learning_rate":
|
710 |
-
"loss": 0.
|
711 |
"step": 930
|
712 |
},
|
713 |
{
|
714 |
-
"epoch": 16.
|
715 |
-
"learning_rate":
|
716 |
-
"loss":
|
717 |
"step": 940
|
718 |
},
|
719 |
{
|
720 |
-
"epoch": 16.
|
721 |
-
"learning_rate":
|
722 |
-
"loss": 0.
|
723 |
"step": 950
|
724 |
},
|
725 |
{
|
726 |
-
"epoch": 16.
|
727 |
-
"eval_accuracy": 0.
|
728 |
-
"eval_loss": 0.
|
729 |
-
"eval_runtime":
|
730 |
-
"eval_samples_per_second": 1.
|
731 |
-
"eval_steps_per_second": 0.
|
732 |
"step": 952
|
733 |
},
|
734 |
{
|
735 |
-
"epoch": 17.
|
736 |
-
"learning_rate":
|
737 |
-
"loss": 0.
|
738 |
"step": 960
|
739 |
},
|
740 |
{
|
741 |
-
"epoch": 17.
|
742 |
-
"learning_rate":
|
743 |
-
"loss": 0.
|
744 |
"step": 970
|
745 |
},
|
746 |
{
|
747 |
-
"epoch": 17.
|
748 |
-
"learning_rate":
|
749 |
-
"loss": 0.
|
750 |
"step": 980
|
751 |
},
|
752 |
{
|
753 |
-
"epoch": 17.
|
754 |
-
"learning_rate":
|
755 |
-
"loss": 0.
|
756 |
"step": 990
|
757 |
},
|
758 |
{
|
759 |
-
"epoch": 17.
|
760 |
-
"learning_rate":
|
761 |
-
"loss": 0.
|
762 |
"step": 1000
|
763 |
},
|
764 |
{
|
765 |
-
"epoch": 17.
|
766 |
-
"eval_accuracy": 0.
|
767 |
-
"eval_loss":
|
768 |
-
"eval_runtime":
|
769 |
-
"eval_samples_per_second": 1.
|
770 |
"eval_steps_per_second": 0.17,
|
771 |
"step": 1008
|
772 |
},
|
773 |
{
|
774 |
"epoch": 18.0,
|
775 |
-
"learning_rate":
|
776 |
-
"loss": 0.
|
777 |
"step": 1010
|
778 |
},
|
779 |
{
|
780 |
"epoch": 18.01,
|
781 |
-
"learning_rate":
|
782 |
-
"loss": 0.
|
783 |
"step": 1020
|
784 |
},
|
785 |
{
|
786 |
-
"epoch": 18.
|
787 |
-
"learning_rate":
|
788 |
-
"loss": 0.
|
789 |
"step": 1030
|
790 |
},
|
791 |
{
|
792 |
-
"epoch": 18.
|
793 |
-
"learning_rate":
|
794 |
-
"loss": 0.
|
795 |
"step": 1040
|
796 |
},
|
797 |
{
|
798 |
-
"epoch": 18.
|
799 |
-
"learning_rate":
|
800 |
-
"loss": 0.
|
801 |
"step": 1050
|
802 |
},
|
803 |
{
|
804 |
-
"epoch": 18.
|
805 |
-
"learning_rate": 5.
|
806 |
-
"loss": 0.
|
807 |
"step": 1060
|
808 |
},
|
809 |
{
|
810 |
-
"epoch": 18.
|
811 |
-
"eval_accuracy": 0.
|
812 |
-
"eval_loss": 0.
|
813 |
-
"eval_runtime":
|
814 |
-
"eval_samples_per_second": 1.
|
815 |
-
"eval_steps_per_second": 0.
|
816 |
"step": 1064
|
817 |
},
|
818 |
{
|
819 |
-
"epoch": 19.
|
820 |
-
"learning_rate":
|
821 |
-
"loss": 0.
|
822 |
"step": 1070
|
823 |
},
|
824 |
{
|
825 |
"epoch": 19.01,
|
826 |
-
"learning_rate":
|
827 |
-
"loss": 0.
|
828 |
"step": 1080
|
829 |
},
|
830 |
{
|
831 |
-
"epoch": 19.
|
832 |
-
"learning_rate":
|
833 |
-
"loss": 0.
|
834 |
"step": 1090
|
835 |
},
|
836 |
{
|
837 |
-
"epoch": 19.
|
838 |
-
"learning_rate":
|
839 |
-
"loss": 0.
|
840 |
"step": 1100
|
841 |
},
|
842 |
{
|
843 |
-
"epoch": 19.
|
844 |
-
"learning_rate":
|
845 |
-
"loss": 0.
|
846 |
"step": 1110
|
847 |
},
|
848 |
{
|
849 |
-
"epoch": 19.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
850 |
"eval_accuracy": 0.7188940092165899,
|
851 |
-
"eval_loss": 0.
|
852 |
-
"eval_runtime":
|
853 |
-
"eval_samples_per_second": 1.
|
854 |
-
"eval_steps_per_second": 0.
|
855 |
-
"step":
|
856 |
},
|
857 |
{
|
858 |
-
"epoch":
|
859 |
-
"
|
860 |
-
"
|
861 |
-
"
|
862 |
-
"train_runtime": 11661.5957,
|
863 |
-
"train_samples_per_second": 0.761,
|
864 |
-
"train_steps_per_second": 0.095
|
865 |
},
|
866 |
{
|
867 |
-
"epoch":
|
868 |
-
"
|
869 |
-
"
|
870 |
-
"
|
871 |
-
"eval_samples_per_second": 1.29,
|
872 |
-
"eval_steps_per_second": 0.161,
|
873 |
-
"step": 1110
|
874 |
},
|
875 |
{
|
876 |
-
"epoch":
|
877 |
-
"
|
878 |
-
"
|
879 |
-
"
|
880 |
-
|
881 |
-
|
882 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
883 |
}
|
884 |
],
|
885 |
"logging_steps": 10,
|
886 |
-
"max_steps":
|
887 |
"num_input_tokens_seen": 0,
|
888 |
"num_train_epochs": 9223372036854775807,
|
889 |
"save_steps": 500,
|
890 |
-
"total_flos":
|
891 |
"train_batch_size": 8,
|
892 |
"trial_name": null,
|
893 |
"trial_params": null
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.728110599078341,
|
3 |
+
"best_model_checkpoint": "videomae-base-finetuned-subset-check10/checkpoint-1960",
|
4 |
+
"epoch": 39.016216216216215,
|
5 |
"eval_steps": 500,
|
6 |
+
"global_step": 2220,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
+
"epoch": 0.0,
|
13 |
+
"learning_rate": 4.504504504504505e-07,
|
14 |
+
"loss": 1.5494,
|
15 |
"step": 10
|
16 |
},
|
17 |
{
|
18 |
+
"epoch": 0.01,
|
19 |
+
"learning_rate": 9.00900900900901e-07,
|
20 |
+
"loss": 1.5329,
|
21 |
"step": 20
|
22 |
},
|
23 |
{
|
24 |
+
"epoch": 0.01,
|
25 |
+
"learning_rate": 1.3513513513513515e-06,
|
26 |
+
"loss": 1.5277,
|
27 |
"step": 30
|
28 |
},
|
29 |
{
|
30 |
+
"epoch": 0.02,
|
31 |
+
"learning_rate": 1.801801801801802e-06,
|
32 |
+
"loss": 1.5543,
|
33 |
"step": 40
|
34 |
},
|
35 |
{
|
36 |
+
"epoch": 0.02,
|
37 |
+
"learning_rate": 2.2522522522522524e-06,
|
38 |
+
"loss": 1.5175,
|
39 |
"step": 50
|
40 |
},
|
41 |
{
|
42 |
+
"epoch": 0.03,
|
43 |
+
"eval_accuracy": 0.2073732718894009,
|
44 |
+
"eval_loss": 1.6040809154510498,
|
45 |
+
"eval_runtime": 183.7832,
|
46 |
+
"eval_samples_per_second": 1.181,
|
47 |
+
"eval_steps_per_second": 0.152,
|
48 |
"step": 56
|
49 |
},
|
50 |
{
|
51 |
"epoch": 1.0,
|
52 |
+
"learning_rate": 2.702702702702703e-06,
|
53 |
+
"loss": 1.4668,
|
54 |
"step": 60
|
55 |
},
|
56 |
{
|
57 |
"epoch": 1.01,
|
58 |
+
"learning_rate": 3.1531531531531532e-06,
|
59 |
+
"loss": 1.4494,
|
60 |
"step": 70
|
61 |
},
|
62 |
{
|
63 |
+
"epoch": 1.01,
|
64 |
+
"learning_rate": 3.603603603603604e-06,
|
65 |
+
"loss": 1.5305,
|
66 |
"step": 80
|
67 |
},
|
68 |
{
|
69 |
+
"epoch": 1.02,
|
70 |
+
"learning_rate": 4.0540540540540545e-06,
|
71 |
+
"loss": 1.4669,
|
72 |
"step": 90
|
73 |
},
|
74 |
{
|
75 |
+
"epoch": 1.02,
|
76 |
+
"learning_rate": 4.504504504504505e-06,
|
77 |
+
"loss": 1.4467,
|
78 |
"step": 100
|
79 |
},
|
80 |
{
|
81 |
+
"epoch": 1.02,
|
82 |
+
"learning_rate": 4.954954954954955e-06,
|
83 |
+
"loss": 1.4397,
|
84 |
"step": 110
|
85 |
},
|
86 |
{
|
87 |
+
"epoch": 1.03,
|
88 |
+
"eval_accuracy": 0.3870967741935484,
|
89 |
+
"eval_loss": 1.4559013843536377,
|
90 |
+
"eval_runtime": 165.5917,
|
91 |
+
"eval_samples_per_second": 1.31,
|
92 |
+
"eval_steps_per_second": 0.169,
|
93 |
"step": 112
|
94 |
},
|
95 |
{
|
96 |
+
"epoch": 2.0,
|
97 |
+
"learning_rate": 5.405405405405406e-06,
|
98 |
+
"loss": 1.3919,
|
99 |
"step": 120
|
100 |
},
|
101 |
{
|
102 |
+
"epoch": 2.01,
|
103 |
+
"learning_rate": 5.855855855855856e-06,
|
104 |
+
"loss": 1.4257,
|
105 |
"step": 130
|
106 |
},
|
107 |
{
|
108 |
+
"epoch": 2.01,
|
109 |
+
"learning_rate": 6.3063063063063065e-06,
|
110 |
+
"loss": 1.402,
|
111 |
"step": 140
|
112 |
},
|
113 |
{
|
114 |
+
"epoch": 2.02,
|
115 |
+
"learning_rate": 6.7567567567567575e-06,
|
116 |
+
"loss": 1.3609,
|
117 |
"step": 150
|
118 |
},
|
119 |
{
|
120 |
+
"epoch": 2.02,
|
121 |
+
"learning_rate": 7.207207207207208e-06,
|
122 |
+
"loss": 1.464,
|
123 |
"step": 160
|
124 |
},
|
125 |
{
|
126 |
+
"epoch": 2.03,
|
127 |
+
"eval_accuracy": 0.39631336405529954,
|
128 |
+
"eval_loss": 1.3637099266052246,
|
129 |
+
"eval_runtime": 165.2932,
|
130 |
+
"eval_samples_per_second": 1.313,
|
131 |
+
"eval_steps_per_second": 0.169,
|
132 |
"step": 168
|
133 |
},
|
134 |
{
|
135 |
"epoch": 3.0,
|
136 |
+
"learning_rate": 7.657657657657658e-06,
|
137 |
+
"loss": 1.3384,
|
138 |
"step": 170
|
139 |
},
|
140 |
{
|
141 |
"epoch": 3.01,
|
142 |
+
"learning_rate": 8.108108108108109e-06,
|
143 |
+
"loss": 1.4317,
|
144 |
"step": 180
|
145 |
},
|
146 |
{
|
147 |
+
"epoch": 3.01,
|
148 |
+
"learning_rate": 8.55855855855856e-06,
|
149 |
+
"loss": 1.1669,
|
150 |
"step": 190
|
151 |
},
|
152 |
{
|
153 |
+
"epoch": 3.01,
|
154 |
+
"learning_rate": 9.00900900900901e-06,
|
155 |
+
"loss": 1.4449,
|
156 |
"step": 200
|
157 |
},
|
158 |
{
|
159 |
+
"epoch": 3.02,
|
160 |
+
"learning_rate": 9.45945945945946e-06,
|
161 |
+
"loss": 1.3429,
|
162 |
"step": 210
|
163 |
},
|
164 |
{
|
165 |
+
"epoch": 3.02,
|
166 |
+
"learning_rate": 9.90990990990991e-06,
|
167 |
+
"loss": 1.3404,
|
168 |
"step": 220
|
169 |
},
|
170 |
{
|
171 |
+
"epoch": 3.03,
|
172 |
+
"eval_accuracy": 0.4470046082949309,
|
173 |
+
"eval_loss": 1.2467495203018188,
|
174 |
+
"eval_runtime": 166.7691,
|
175 |
+
"eval_samples_per_second": 1.301,
|
176 |
+
"eval_steps_per_second": 0.168,
|
177 |
"step": 224
|
178 |
},
|
179 |
{
|
180 |
+
"epoch": 4.0,
|
181 |
+
"learning_rate": 9.95995995995996e-06,
|
182 |
+
"loss": 1.2682,
|
183 |
"step": 230
|
184 |
},
|
185 |
{
|
186 |
"epoch": 4.01,
|
187 |
+
"learning_rate": 9.90990990990991e-06,
|
188 |
+
"loss": 1.2307,
|
189 |
"step": 240
|
190 |
},
|
191 |
{
|
192 |
+
"epoch": 4.01,
|
193 |
+
"learning_rate": 9.85985985985986e-06,
|
194 |
+
"loss": 1.14,
|
195 |
"step": 250
|
196 |
},
|
197 |
{
|
198 |
+
"epoch": 4.02,
|
199 |
+
"learning_rate": 9.80980980980981e-06,
|
200 |
+
"loss": 1.091,
|
201 |
"step": 260
|
202 |
},
|
203 |
{
|
204 |
+
"epoch": 4.02,
|
205 |
+
"learning_rate": 9.75975975975976e-06,
|
206 |
+
"loss": 1.1822,
|
207 |
"step": 270
|
208 |
},
|
209 |
{
|
210 |
+
"epoch": 4.03,
|
211 |
+
"learning_rate": 9.70970970970971e-06,
|
212 |
+
"loss": 1.3284,
|
213 |
"step": 280
|
214 |
},
|
215 |
{
|
216 |
+
"epoch": 4.03,
|
217 |
+
"eval_accuracy": 0.3317972350230415,
|
218 |
+
"eval_loss": 1.3115123510360718,
|
219 |
+
"eval_runtime": 165.1237,
|
220 |
+
"eval_samples_per_second": 1.314,
|
221 |
+
"eval_steps_per_second": 0.17,
|
222 |
"step": 280
|
223 |
},
|
224 |
{
|
225 |
+
"epoch": 5.0,
|
226 |
+
"learning_rate": 9.65965965965966e-06,
|
227 |
+
"loss": 1.1944,
|
228 |
"step": 290
|
229 |
},
|
230 |
{
|
231 |
+
"epoch": 5.01,
|
232 |
+
"learning_rate": 9.60960960960961e-06,
|
233 |
+
"loss": 1.3055,
|
234 |
"step": 300
|
235 |
},
|
236 |
{
|
237 |
+
"epoch": 5.01,
|
238 |
+
"learning_rate": 9.55955955955956e-06,
|
239 |
+
"loss": 1.0722,
|
240 |
"step": 310
|
241 |
},
|
242 |
{
|
243 |
+
"epoch": 5.02,
|
244 |
+
"learning_rate": 9.50950950950951e-06,
|
245 |
+
"loss": 1.0467,
|
246 |
"step": 320
|
247 |
},
|
248 |
{
|
249 |
+
"epoch": 5.02,
|
250 |
+
"learning_rate": 9.45945945945946e-06,
|
251 |
+
"loss": 1.1598,
|
252 |
"step": 330
|
253 |
},
|
254 |
{
|
255 |
+
"epoch": 5.03,
|
256 |
+
"eval_accuracy": 0.4470046082949309,
|
257 |
+
"eval_loss": 1.2488903999328613,
|
258 |
+
"eval_runtime": 168.3906,
|
259 |
+
"eval_samples_per_second": 1.289,
|
260 |
+
"eval_steps_per_second": 0.166,
|
261 |
"step": 336
|
262 |
},
|
263 |
{
|
264 |
"epoch": 6.0,
|
265 |
+
"learning_rate": 9.40940940940941e-06,
|
266 |
+
"loss": 1.2285,
|
267 |
"step": 340
|
268 |
},
|
269 |
{
|
270 |
"epoch": 6.01,
|
271 |
+
"learning_rate": 9.35935935935936e-06,
|
272 |
+
"loss": 1.0002,
|
273 |
"step": 350
|
274 |
},
|
275 |
{
|
276 |
+
"epoch": 6.01,
|
277 |
+
"learning_rate": 9.30930930930931e-06,
|
278 |
+
"loss": 1.2506,
|
279 |
"step": 360
|
280 |
},
|
281 |
{
|
282 |
+
"epoch": 6.02,
|
283 |
+
"learning_rate": 9.25925925925926e-06,
|
284 |
+
"loss": 1.0963,
|
285 |
"step": 370
|
286 |
},
|
287 |
{
|
288 |
+
"epoch": 6.02,
|
289 |
+
"learning_rate": 9.20920920920921e-06,
|
290 |
+
"loss": 1.1495,
|
291 |
"step": 380
|
292 |
},
|
293 |
{
|
294 |
+
"epoch": 6.02,
|
295 |
+
"learning_rate": 9.15915915915916e-06,
|
296 |
+
"loss": 0.9615,
|
297 |
"step": 390
|
298 |
},
|
299 |
{
|
300 |
+
"epoch": 6.03,
|
301 |
+
"eval_accuracy": 0.4009216589861751,
|
302 |
+
"eval_loss": 1.3057225942611694,
|
303 |
+
"eval_runtime": 165.4477,
|
304 |
+
"eval_samples_per_second": 1.312,
|
305 |
+
"eval_steps_per_second": 0.169,
|
306 |
"step": 392
|
307 |
},
|
308 |
{
|
309 |
+
"epoch": 7.0,
|
310 |
+
"learning_rate": 9.10910910910911e-06,
|
311 |
+
"loss": 1.0211,
|
312 |
"step": 400
|
313 |
},
|
314 |
{
|
315 |
+
"epoch": 7.01,
|
316 |
+
"learning_rate": 9.05905905905906e-06,
|
317 |
+
"loss": 1.0622,
|
318 |
"step": 410
|
319 |
},
|
320 |
{
|
321 |
+
"epoch": 7.01,
|
322 |
+
"learning_rate": 9.00900900900901e-06,
|
323 |
+
"loss": 1.1759,
|
324 |
"step": 420
|
325 |
},
|
326 |
{
|
327 |
+
"epoch": 7.02,
|
328 |
+
"learning_rate": 8.95895895895896e-06,
|
329 |
+
"loss": 1.0414,
|
330 |
"step": 430
|
331 |
},
|
332 |
{
|
333 |
+
"epoch": 7.02,
|
334 |
+
"learning_rate": 8.90890890890891e-06,
|
335 |
+
"loss": 0.9357,
|
336 |
"step": 440
|
337 |
},
|
338 |
{
|
339 |
+
"epoch": 7.03,
|
340 |
+
"eval_accuracy": 0.6497695852534562,
|
341 |
+
"eval_loss": 0.9200783967971802,
|
342 |
+
"eval_runtime": 165.3979,
|
343 |
+
"eval_samples_per_second": 1.312,
|
344 |
+
"eval_steps_per_second": 0.169,
|
345 |
"step": 448
|
346 |
},
|
347 |
{
|
348 |
"epoch": 8.0,
|
349 |
+
"learning_rate": 8.85885885885886e-06,
|
350 |
+
"loss": 1.2506,
|
351 |
"step": 450
|
352 |
},
|
353 |
{
|
354 |
"epoch": 8.01,
|
355 |
+
"learning_rate": 8.80880880880881e-06,
|
356 |
+
"loss": 1.0342,
|
357 |
"step": 460
|
358 |
},
|
359 |
{
|
360 |
+
"epoch": 8.01,
|
361 |
+
"learning_rate": 8.75875875875876e-06,
|
362 |
+
"loss": 1.0815,
|
363 |
"step": 470
|
364 |
},
|
365 |
{
|
366 |
+
"epoch": 8.01,
|
367 |
+
"learning_rate": 8.70870870870871e-06,
|
368 |
+
"loss": 1.0373,
|
369 |
"step": 480
|
370 |
},
|
371 |
{
|
372 |
+
"epoch": 8.02,
|
373 |
+
"learning_rate": 8.65865865865866e-06,
|
374 |
+
"loss": 0.9051,
|
375 |
"step": 490
|
376 |
},
|
377 |
{
|
378 |
+
"epoch": 8.02,
|
379 |
+
"learning_rate": 8.60860860860861e-06,
|
380 |
+
"loss": 0.9785,
|
381 |
"step": 500
|
382 |
},
|
383 |
{
|
384 |
+
"epoch": 8.03,
|
385 |
+
"eval_accuracy": 0.6774193548387096,
|
386 |
+
"eval_loss": 0.8629115223884583,
|
387 |
+
"eval_runtime": 165.2531,
|
388 |
+
"eval_samples_per_second": 1.313,
|
389 |
"eval_steps_per_second": 0.169,
|
390 |
"step": 504
|
391 |
},
|
392 |
{
|
393 |
+
"epoch": 9.0,
|
394 |
+
"learning_rate": 8.55855855855856e-06,
|
395 |
+
"loss": 0.9915,
|
396 |
"step": 510
|
397 |
},
|
398 |
{
|
399 |
"epoch": 9.01,
|
400 |
+
"learning_rate": 8.50850850850851e-06,
|
401 |
+
"loss": 0.9176,
|
402 |
"step": 520
|
403 |
},
|
404 |
{
|
405 |
+
"epoch": 9.01,
|
406 |
+
"learning_rate": 8.45845845845846e-06,
|
407 |
+
"loss": 1.1561,
|
408 |
"step": 530
|
409 |
},
|
410 |
{
|
411 |
+
"epoch": 9.02,
|
412 |
+
"learning_rate": 8.408408408408409e-06,
|
413 |
+
"loss": 0.8966,
|
414 |
"step": 540
|
415 |
},
|
416 |
{
|
417 |
+
"epoch": 9.02,
|
418 |
+
"learning_rate": 8.358358358358359e-06,
|
419 |
+
"loss": 0.894,
|
420 |
"step": 550
|
421 |
},
|
422 |
{
|
423 |
+
"epoch": 9.03,
|
424 |
+
"learning_rate": 8.308308308308309e-06,
|
425 |
+
"loss": 1.0862,
|
426 |
"step": 560
|
427 |
},
|
428 |
{
|
429 |
+
"epoch": 9.03,
|
430 |
+
"eval_accuracy": 0.5069124423963134,
|
431 |
+
"eval_loss": 1.0976766347885132,
|
432 |
+
"eval_runtime": 165.1522,
|
433 |
+
"eval_samples_per_second": 1.314,
|
434 |
+
"eval_steps_per_second": 0.17,
|
435 |
"step": 560
|
436 |
},
|
437 |
{
|
438 |
+
"epoch": 10.0,
|
439 |
+
"learning_rate": 8.258258258258259e-06,
|
440 |
+
"loss": 0.7806,
|
441 |
"step": 570
|
442 |
},
|
443 |
{
|
444 |
+
"epoch": 10.01,
|
445 |
+
"learning_rate": 8.208208208208209e-06,
|
446 |
+
"loss": 0.9904,
|
447 |
"step": 580
|
448 |
},
|
449 |
{
|
450 |
+
"epoch": 10.01,
|
451 |
+
"learning_rate": 8.158158158158159e-06,
|
452 |
+
"loss": 0.9099,
|
453 |
"step": 590
|
454 |
},
|
455 |
{
|
456 |
+
"epoch": 10.02,
|
457 |
+
"learning_rate": 8.108108108108109e-06,
|
458 |
+
"loss": 0.9169,
|
459 |
"step": 600
|
460 |
},
|
461 |
{
|
462 |
+
"epoch": 10.02,
|
463 |
+
"learning_rate": 8.058058058058059e-06,
|
464 |
+
"loss": 0.9315,
|
465 |
"step": 610
|
466 |
},
|
467 |
{
|
468 |
+
"epoch": 10.03,
|
469 |
+
"eval_accuracy": 0.7096774193548387,
|
470 |
+
"eval_loss": 0.7867635488510132,
|
471 |
+
"eval_runtime": 165.0158,
|
472 |
+
"eval_samples_per_second": 1.315,
|
473 |
"eval_steps_per_second": 0.17,
|
474 |
"step": 616
|
475 |
},
|
476 |
{
|
477 |
"epoch": 11.0,
|
478 |
+
"learning_rate": 8.00800800800801e-06,
|
479 |
+
"loss": 0.7636,
|
480 |
"step": 620
|
481 |
},
|
482 |
{
|
483 |
"epoch": 11.01,
|
484 |
+
"learning_rate": 7.95795795795796e-06,
|
485 |
+
"loss": 0.9198,
|
486 |
"step": 630
|
487 |
},
|
488 |
{
|
489 |
+
"epoch": 11.01,
|
490 |
+
"learning_rate": 7.90790790790791e-06,
|
491 |
+
"loss": 1.0816,
|
492 |
"step": 640
|
493 |
},
|
494 |
{
|
495 |
+
"epoch": 11.02,
|
496 |
+
"learning_rate": 7.85785785785786e-06,
|
497 |
+
"loss": 0.8409,
|
498 |
"step": 650
|
499 |
},
|
500 |
{
|
501 |
+
"epoch": 11.02,
|
502 |
+
"learning_rate": 7.807807807807808e-06,
|
503 |
+
"loss": 0.7348,
|
504 |
"step": 660
|
505 |
},
|
506 |
{
|
507 |
+
"epoch": 11.02,
|
508 |
+
"learning_rate": 7.757757757757758e-06,
|
509 |
+
"loss": 0.9404,
|
510 |
"step": 670
|
511 |
},
|
512 |
{
|
513 |
+
"epoch": 11.03,
|
514 |
+
"eval_accuracy": 0.6728110599078341,
|
515 |
+
"eval_loss": 0.8170290589332581,
|
516 |
+
"eval_runtime": 165.2251,
|
517 |
+
"eval_samples_per_second": 1.313,
|
518 |
+
"eval_steps_per_second": 0.169,
|
519 |
"step": 672
|
520 |
},
|
521 |
{
|
522 |
+
"epoch": 12.0,
|
523 |
+
"learning_rate": 7.707707707707708e-06,
|
524 |
+
"loss": 0.8669,
|
525 |
"step": 680
|
526 |
},
|
527 |
{
|
528 |
+
"epoch": 12.01,
|
529 |
+
"learning_rate": 7.657657657657658e-06,
|
530 |
+
"loss": 0.7773,
|
531 |
"step": 690
|
532 |
},
|
533 |
{
|
534 |
+
"epoch": 12.01,
|
535 |
+
"learning_rate": 7.607607607607608e-06,
|
536 |
+
"loss": 0.7599,
|
537 |
"step": 700
|
538 |
},
|
539 |
{
|
540 |
+
"epoch": 12.02,
|
541 |
+
"learning_rate": 7.557557557557558e-06,
|
542 |
+
"loss": 0.9216,
|
543 |
"step": 710
|
544 |
},
|
545 |
{
|
546 |
+
"epoch": 12.02,
|
547 |
+
"learning_rate": 7.507507507507507e-06,
|
548 |
+
"loss": 0.939,
|
549 |
"step": 720
|
550 |
},
|
551 |
{
|
552 |
+
"epoch": 12.03,
|
553 |
+
"eval_accuracy": 0.663594470046083,
|
554 |
+
"eval_loss": 0.9246166348457336,
|
555 |
+
"eval_runtime": 165.7726,
|
556 |
+
"eval_samples_per_second": 1.309,
|
557 |
+
"eval_steps_per_second": 0.169,
|
558 |
"step": 728
|
559 |
},
|
560 |
{
|
561 |
"epoch": 13.0,
|
562 |
+
"learning_rate": 7.457457457457457e-06,
|
563 |
+
"loss": 0.9703,
|
564 |
"step": 730
|
565 |
},
|
566 |
{
|
567 |
"epoch": 13.01,
|
568 |
+
"learning_rate": 7.4074074074074075e-06,
|
569 |
+
"loss": 0.6688,
|
570 |
"step": 740
|
571 |
},
|
572 |
{
|
573 |
+
"epoch": 13.01,
|
574 |
+
"learning_rate": 7.3573573573573575e-06,
|
575 |
+
"loss": 0.9097,
|
576 |
"step": 750
|
577 |
},
|
578 |
{
|
579 |
+
"epoch": 13.01,
|
580 |
+
"learning_rate": 7.307307307307308e-06,
|
581 |
+
"loss": 0.9963,
|
582 |
"step": 760
|
583 |
},
|
584 |
{
|
585 |
+
"epoch": 13.02,
|
586 |
+
"learning_rate": 7.257257257257258e-06,
|
587 |
+
"loss": 0.8594,
|
588 |
"step": 770
|
589 |
},
|
590 |
{
|
591 |
+
"epoch": 13.02,
|
592 |
+
"learning_rate": 7.207207207207208e-06,
|
593 |
+
"loss": 0.8205,
|
594 |
"step": 780
|
595 |
},
|
596 |
{
|
597 |
+
"epoch": 13.03,
|
598 |
+
"eval_accuracy": 0.6866359447004609,
|
599 |
+
"eval_loss": 0.8420272469520569,
|
600 |
+
"eval_runtime": 165.0282,
|
601 |
"eval_samples_per_second": 1.315,
|
602 |
"eval_steps_per_second": 0.17,
|
603 |
"step": 784
|
604 |
},
|
605 |
{
|
606 |
+
"epoch": 14.0,
|
607 |
+
"learning_rate": 7.157157157157158e-06,
|
608 |
+
"loss": 0.8206,
|
609 |
"step": 790
|
610 |
},
|
611 |
{
|
612 |
"epoch": 14.01,
|
613 |
+
"learning_rate": 7.107107107107107e-06,
|
614 |
+
"loss": 0.8183,
|
615 |
"step": 800
|
616 |
},
|
617 |
{
|
618 |
+
"epoch": 14.01,
|
619 |
+
"learning_rate": 7.057057057057057e-06,
|
620 |
+
"loss": 0.7596,
|
621 |
"step": 810
|
622 |
},
|
623 |
{
|
624 |
+
"epoch": 14.02,
|
625 |
+
"learning_rate": 7.007007007007007e-06,
|
626 |
+
"loss": 0.799,
|
627 |
"step": 820
|
628 |
},
|
629 |
{
|
630 |
+
"epoch": 14.02,
|
631 |
+
"learning_rate": 6.956956956956957e-06,
|
632 |
+
"loss": 0.7377,
|
633 |
"step": 830
|
634 |
},
|
635 |
{
|
636 |
+
"epoch": 14.03,
|
637 |
+
"learning_rate": 6.906906906906907e-06,
|
638 |
+
"loss": 0.6719,
|
639 |
"step": 840
|
640 |
},
|
641 |
{
|
642 |
+
"epoch": 14.03,
|
643 |
+
"eval_accuracy": 0.5898617511520737,
|
644 |
+
"eval_loss": 1.07249116897583,
|
645 |
+
"eval_runtime": 164.1063,
|
646 |
+
"eval_samples_per_second": 1.322,
|
647 |
+
"eval_steps_per_second": 0.171,
|
648 |
"step": 840
|
649 |
},
|
650 |
{
|
651 |
+
"epoch": 15.0,
|
652 |
+
"learning_rate": 6.856856856856857e-06,
|
653 |
+
"loss": 0.6874,
|
654 |
"step": 850
|
655 |
},
|
656 |
{
|
657 |
+
"epoch": 15.01,
|
658 |
+
"learning_rate": 6.8068068068068075e-06,
|
659 |
+
"loss": 0.8207,
|
660 |
"step": 860
|
661 |
},
|
662 |
{
|
663 |
+
"epoch": 15.01,
|
664 |
+
"learning_rate": 6.7567567567567575e-06,
|
665 |
+
"loss": 0.7454,
|
666 |
"step": 870
|
667 |
},
|
668 |
{
|
669 |
+
"epoch": 15.02,
|
670 |
+
"learning_rate": 6.706706706706707e-06,
|
671 |
+
"loss": 0.7188,
|
672 |
"step": 880
|
673 |
},
|
674 |
{
|
675 |
+
"epoch": 15.02,
|
676 |
+
"learning_rate": 6.656656656656657e-06,
|
677 |
+
"loss": 0.8308,
|
678 |
"step": 890
|
679 |
},
|
680 |
{
|
681 |
+
"epoch": 15.03,
|
682 |
+
"eval_accuracy": 0.6912442396313364,
|
683 |
+
"eval_loss": 0.8682537078857422,
|
684 |
+
"eval_runtime": 165.7327,
|
685 |
+
"eval_samples_per_second": 1.309,
|
686 |
"eval_steps_per_second": 0.169,
|
687 |
"step": 896
|
688 |
},
|
689 |
{
|
690 |
"epoch": 16.0,
|
691 |
+
"learning_rate": 6.606606606606607e-06,
|
692 |
+
"loss": 0.891,
|
693 |
"step": 900
|
694 |
},
|
695 |
{
|
696 |
"epoch": 16.01,
|
697 |
+
"learning_rate": 6.556556556556557e-06,
|
698 |
+
"loss": 0.7597,
|
699 |
"step": 910
|
700 |
},
|
701 |
{
|
702 |
+
"epoch": 16.01,
|
703 |
+
"learning_rate": 6.506506506506507e-06,
|
704 |
+
"loss": 0.8318,
|
705 |
"step": 920
|
706 |
},
|
707 |
{
|
708 |
+
"epoch": 16.02,
|
709 |
+
"learning_rate": 6.456456456456457e-06,
|
710 |
+
"loss": 0.7681,
|
711 |
"step": 930
|
712 |
},
|
713 |
{
|
714 |
+
"epoch": 16.02,
|
715 |
+
"learning_rate": 6.406406406406407e-06,
|
716 |
+
"loss": 1.0094,
|
717 |
"step": 940
|
718 |
},
|
719 |
{
|
720 |
+
"epoch": 16.02,
|
721 |
+
"learning_rate": 6.356356356356357e-06,
|
722 |
+
"loss": 0.7554,
|
723 |
"step": 950
|
724 |
},
|
725 |
{
|
726 |
+
"epoch": 16.03,
|
727 |
+
"eval_accuracy": 0.5990783410138248,
|
728 |
+
"eval_loss": 0.9684067368507385,
|
729 |
+
"eval_runtime": 164.5634,
|
730 |
+
"eval_samples_per_second": 1.319,
|
731 |
+
"eval_steps_per_second": 0.17,
|
732 |
"step": 952
|
733 |
},
|
734 |
{
|
735 |
+
"epoch": 17.0,
|
736 |
+
"learning_rate": 6.3063063063063065e-06,
|
737 |
+
"loss": 0.9087,
|
738 |
"step": 960
|
739 |
},
|
740 |
{
|
741 |
+
"epoch": 17.01,
|
742 |
+
"learning_rate": 6.2562562562562565e-06,
|
743 |
+
"loss": 0.7401,
|
744 |
"step": 970
|
745 |
},
|
746 |
{
|
747 |
+
"epoch": 17.01,
|
748 |
+
"learning_rate": 6.206206206206207e-06,
|
749 |
+
"loss": 0.7611,
|
750 |
"step": 980
|
751 |
},
|
752 |
{
|
753 |
+
"epoch": 17.02,
|
754 |
+
"learning_rate": 6.156156156156157e-06,
|
755 |
+
"loss": 0.6347,
|
756 |
"step": 990
|
757 |
},
|
758 |
{
|
759 |
+
"epoch": 17.02,
|
760 |
+
"learning_rate": 6.106106106106107e-06,
|
761 |
+
"loss": 0.6962,
|
762 |
"step": 1000
|
763 |
},
|
764 |
{
|
765 |
+
"epoch": 17.03,
|
766 |
+
"eval_accuracy": 0.5483870967741935,
|
767 |
+
"eval_loss": 1.1106446981430054,
|
768 |
+
"eval_runtime": 165.0022,
|
769 |
+
"eval_samples_per_second": 1.315,
|
770 |
"eval_steps_per_second": 0.17,
|
771 |
"step": 1008
|
772 |
},
|
773 |
{
|
774 |
"epoch": 18.0,
|
775 |
+
"learning_rate": 6.056056056056057e-06,
|
776 |
+
"loss": 0.6861,
|
777 |
"step": 1010
|
778 |
},
|
779 |
{
|
780 |
"epoch": 18.01,
|
781 |
+
"learning_rate": 6.006006006006007e-06,
|
782 |
+
"loss": 0.7999,
|
783 |
"step": 1020
|
784 |
},
|
785 |
{
|
786 |
+
"epoch": 18.01,
|
787 |
+
"learning_rate": 5.955955955955957e-06,
|
788 |
+
"loss": 0.7412,
|
789 |
"step": 1030
|
790 |
},
|
791 |
{
|
792 |
+
"epoch": 18.01,
|
793 |
+
"learning_rate": 5.905905905905906e-06,
|
794 |
+
"loss": 0.8145,
|
795 |
"step": 1040
|
796 |
},
|
797 |
{
|
798 |
+
"epoch": 18.02,
|
799 |
+
"learning_rate": 5.855855855855856e-06,
|
800 |
+
"loss": 0.6653,
|
801 |
"step": 1050
|
802 |
},
|
803 |
{
|
804 |
+
"epoch": 18.02,
|
805 |
+
"learning_rate": 5.805805805805806e-06,
|
806 |
+
"loss": 0.7995,
|
807 |
"step": 1060
|
808 |
},
|
809 |
{
|
810 |
+
"epoch": 18.03,
|
811 |
+
"eval_accuracy": 0.6497695852534562,
|
812 |
+
"eval_loss": 0.9750950336456299,
|
813 |
+
"eval_runtime": 163.7137,
|
814 |
+
"eval_samples_per_second": 1.325,
|
815 |
+
"eval_steps_per_second": 0.171,
|
816 |
"step": 1064
|
817 |
},
|
818 |
{
|
819 |
+
"epoch": 19.0,
|
820 |
+
"learning_rate": 5.755755755755756e-06,
|
821 |
+
"loss": 0.6923,
|
822 |
"step": 1070
|
823 |
},
|
824 |
{
|
825 |
"epoch": 19.01,
|
826 |
+
"learning_rate": 5.7057057057057065e-06,
|
827 |
+
"loss": 0.7874,
|
828 |
"step": 1080
|
829 |
},
|
830 |
{
|
831 |
+
"epoch": 19.01,
|
832 |
+
"learning_rate": 5.6556556556556565e-06,
|
833 |
+
"loss": 0.728,
|
834 |
"step": 1090
|
835 |
},
|
836 |
{
|
837 |
+
"epoch": 19.02,
|
838 |
+
"learning_rate": 5.605605605605607e-06,
|
839 |
+
"loss": 0.6329,
|
840 |
"step": 1100
|
841 |
},
|
842 |
{
|
843 |
+
"epoch": 19.02,
|
844 |
+
"learning_rate": 5.555555555555557e-06,
|
845 |
+
"loss": 0.8939,
|
846 |
"step": 1110
|
847 |
},
|
848 |
{
|
849 |
+
"epoch": 19.03,
|
850 |
+
"learning_rate": 5.505505505505506e-06,
|
851 |
+
"loss": 0.8298,
|
852 |
+
"step": 1120
|
853 |
+
},
|
854 |
+
{
|
855 |
+
"epoch": 19.03,
|
856 |
+
"eval_accuracy": 0.5299539170506913,
|
857 |
+
"eval_loss": 1.0630956888198853,
|
858 |
+
"eval_runtime": 165.0711,
|
859 |
+
"eval_samples_per_second": 1.315,
|
860 |
+
"eval_steps_per_second": 0.17,
|
861 |
+
"step": 1120
|
862 |
+
},
|
863 |
+
{
|
864 |
+
"epoch": 20.0,
|
865 |
+
"learning_rate": 5.455455455455456e-06,
|
866 |
+
"loss": 0.7025,
|
867 |
+
"step": 1130
|
868 |
+
},
|
869 |
+
{
|
870 |
+
"epoch": 20.01,
|
871 |
+
"learning_rate": 5.405405405405406e-06,
|
872 |
+
"loss": 0.6251,
|
873 |
+
"step": 1140
|
874 |
+
},
|
875 |
+
{
|
876 |
+
"epoch": 20.01,
|
877 |
+
"learning_rate": 5.355355355355356e-06,
|
878 |
+
"loss": 0.7818,
|
879 |
+
"step": 1150
|
880 |
+
},
|
881 |
+
{
|
882 |
+
"epoch": 20.02,
|
883 |
+
"learning_rate": 5.305305305305306e-06,
|
884 |
+
"loss": 0.8259,
|
885 |
+
"step": 1160
|
886 |
+
},
|
887 |
+
{
|
888 |
+
"epoch": 20.02,
|
889 |
+
"learning_rate": 5.255255255255256e-06,
|
890 |
+
"loss": 0.6607,
|
891 |
+
"step": 1170
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 20.03,
|
895 |
+
"eval_accuracy": 0.6175115207373272,
|
896 |
+
"eval_loss": 0.9457883834838867,
|
897 |
+
"eval_runtime": 164.6389,
|
898 |
+
"eval_samples_per_second": 1.318,
|
899 |
+
"eval_steps_per_second": 0.17,
|
900 |
+
"step": 1176
|
901 |
+
},
|
902 |
+
{
|
903 |
+
"epoch": 21.0,
|
904 |
+
"learning_rate": 5.205205205205206e-06,
|
905 |
+
"loss": 0.6344,
|
906 |
+
"step": 1180
|
907 |
+
},
|
908 |
+
{
|
909 |
+
"epoch": 21.01,
|
910 |
+
"learning_rate": 5.155155155155156e-06,
|
911 |
+
"loss": 0.637,
|
912 |
+
"step": 1190
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 21.01,
|
916 |
+
"learning_rate": 5.105105105105106e-06,
|
917 |
+
"loss": 0.858,
|
918 |
+
"step": 1200
|
919 |
+
},
|
920 |
+
{
|
921 |
+
"epoch": 21.02,
|
922 |
+
"learning_rate": 5.055055055055056e-06,
|
923 |
+
"loss": 0.6934,
|
924 |
+
"step": 1210
|
925 |
+
},
|
926 |
+
{
|
927 |
+
"epoch": 21.02,
|
928 |
+
"learning_rate": 5.005005005005006e-06,
|
929 |
+
"loss": 0.5714,
|
930 |
+
"step": 1220
|
931 |
+
},
|
932 |
+
{
|
933 |
+
"epoch": 21.02,
|
934 |
+
"learning_rate": 4.954954954954955e-06,
|
935 |
+
"loss": 0.688,
|
936 |
+
"step": 1230
|
937 |
+
},
|
938 |
+
{
|
939 |
+
"epoch": 21.03,
|
940 |
+
"eval_accuracy": 0.6036866359447005,
|
941 |
+
"eval_loss": 1.029563546180725,
|
942 |
+
"eval_runtime": 163.856,
|
943 |
+
"eval_samples_per_second": 1.324,
|
944 |
+
"eval_steps_per_second": 0.171,
|
945 |
+
"step": 1232
|
946 |
+
},
|
947 |
+
{
|
948 |
+
"epoch": 22.0,
|
949 |
+
"learning_rate": 4.904904904904905e-06,
|
950 |
+
"loss": 0.5114,
|
951 |
+
"step": 1240
|
952 |
+
},
|
953 |
+
{
|
954 |
+
"epoch": 22.01,
|
955 |
+
"learning_rate": 4.854854854854855e-06,
|
956 |
+
"loss": 0.6638,
|
957 |
+
"step": 1250
|
958 |
+
},
|
959 |
+
{
|
960 |
+
"epoch": 22.01,
|
961 |
+
"learning_rate": 4.804804804804805e-06,
|
962 |
+
"loss": 0.7833,
|
963 |
+
"step": 1260
|
964 |
+
},
|
965 |
+
{
|
966 |
+
"epoch": 22.02,
|
967 |
+
"learning_rate": 4.754754754754755e-06,
|
968 |
+
"loss": 0.7556,
|
969 |
+
"step": 1270
|
970 |
+
},
|
971 |
+
{
|
972 |
+
"epoch": 22.02,
|
973 |
+
"learning_rate": 4.704704704704705e-06,
|
974 |
+
"loss": 0.5835,
|
975 |
+
"step": 1280
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 22.03,
|
979 |
+
"eval_accuracy": 0.6774193548387096,
|
980 |
+
"eval_loss": 0.8947747349739075,
|
981 |
+
"eval_runtime": 163.875,
|
982 |
+
"eval_samples_per_second": 1.324,
|
983 |
+
"eval_steps_per_second": 0.171,
|
984 |
+
"step": 1288
|
985 |
+
},
|
986 |
+
{
|
987 |
+
"epoch": 23.0,
|
988 |
+
"learning_rate": 4.654654654654655e-06,
|
989 |
+
"loss": 0.7209,
|
990 |
+
"step": 1290
|
991 |
+
},
|
992 |
+
{
|
993 |
+
"epoch": 23.01,
|
994 |
+
"learning_rate": 4.604604604604605e-06,
|
995 |
+
"loss": 0.6087,
|
996 |
+
"step": 1300
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 23.01,
|
1000 |
+
"learning_rate": 4.554554554554555e-06,
|
1001 |
+
"loss": 0.6529,
|
1002 |
+
"step": 1310
|
1003 |
+
},
|
1004 |
+
{
|
1005 |
+
"epoch": 23.01,
|
1006 |
+
"learning_rate": 4.504504504504505e-06,
|
1007 |
+
"loss": 0.7221,
|
1008 |
+
"step": 1320
|
1009 |
+
},
|
1010 |
+
{
|
1011 |
+
"epoch": 23.02,
|
1012 |
+
"learning_rate": 4.454454454454455e-06,
|
1013 |
+
"loss": 0.6167,
|
1014 |
+
"step": 1330
|
1015 |
+
},
|
1016 |
+
{
|
1017 |
+
"epoch": 23.02,
|
1018 |
+
"learning_rate": 4.404404404404405e-06,
|
1019 |
+
"loss": 0.6987,
|
1020 |
+
"step": 1340
|
1021 |
+
},
|
1022 |
+
{
|
1023 |
+
"epoch": 23.03,
|
1024 |
"eval_accuracy": 0.7188940092165899,
|
1025 |
+
"eval_loss": 0.7882533669471741,
|
1026 |
+
"eval_runtime": 163.4201,
|
1027 |
+
"eval_samples_per_second": 1.328,
|
1028 |
+
"eval_steps_per_second": 0.171,
|
1029 |
+
"step": 1344
|
1030 |
},
|
1031 |
{
|
1032 |
+
"epoch": 24.0,
|
1033 |
+
"learning_rate": 4.354354354354355e-06,
|
1034 |
+
"loss": 0.7234,
|
1035 |
+
"step": 1350
|
|
|
|
|
|
|
1036 |
},
|
1037 |
{
|
1038 |
+
"epoch": 24.01,
|
1039 |
+
"learning_rate": 4.304304304304305e-06,
|
1040 |
+
"loss": 0.808,
|
1041 |
+
"step": 1360
|
|
|
|
|
|
|
1042 |
},
|
1043 |
{
|
1044 |
+
"epoch": 24.01,
|
1045 |
+
"learning_rate": 4.254254254254255e-06,
|
1046 |
+
"loss": 0.6323,
|
1047 |
+
"step": 1370
|
1048 |
+
},
|
1049 |
+
{
|
1050 |
+
"epoch": 24.02,
|
1051 |
+
"learning_rate": 4.204204204204204e-06,
|
1052 |
+
"loss": 0.5463,
|
1053 |
+
"step": 1380
|
1054 |
+
},
|
1055 |
+
{
|
1056 |
+
"epoch": 24.02,
|
1057 |
+
"learning_rate": 4.154154154154154e-06,
|
1058 |
+
"loss": 0.7978,
|
1059 |
+
"step": 1390
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 24.03,
|
1063 |
+
"learning_rate": 4.1041041041041045e-06,
|
1064 |
+
"loss": 0.4979,
|
1065 |
+
"step": 1400
|
1066 |
+
},
|
1067 |
+
{
|
1068 |
+
"epoch": 24.03,
|
1069 |
+
"eval_accuracy": 0.7188940092165899,
|
1070 |
+
"eval_loss": 0.7089133262634277,
|
1071 |
+
"eval_runtime": 164.3791,
|
1072 |
+
"eval_samples_per_second": 1.32,
|
1073 |
+
"eval_steps_per_second": 0.17,
|
1074 |
+
"step": 1400
|
1075 |
+
},
|
1076 |
+
{
|
1077 |
+
"epoch": 25.0,
|
1078 |
+
"learning_rate": 4.0540540540540545e-06,
|
1079 |
+
"loss": 0.4685,
|
1080 |
+
"step": 1410
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 25.01,
|
1084 |
+
"learning_rate": 4.004004004004005e-06,
|
1085 |
+
"loss": 0.665,
|
1086 |
+
"step": 1420
|
1087 |
+
},
|
1088 |
+
{
|
1089 |
+
"epoch": 25.01,
|
1090 |
+
"learning_rate": 3.953953953953955e-06,
|
1091 |
+
"loss": 0.6872,
|
1092 |
+
"step": 1430
|
1093 |
+
},
|
1094 |
+
{
|
1095 |
+
"epoch": 25.02,
|
1096 |
+
"learning_rate": 3.903903903903904e-06,
|
1097 |
+
"loss": 0.5854,
|
1098 |
+
"step": 1440
|
1099 |
+
},
|
1100 |
+
{
|
1101 |
+
"epoch": 25.02,
|
1102 |
+
"learning_rate": 3.853853853853854e-06,
|
1103 |
+
"loss": 0.6163,
|
1104 |
+
"step": 1450
|
1105 |
+
},
|
1106 |
+
{
|
1107 |
+
"epoch": 25.03,
|
1108 |
+
"eval_accuracy": 0.7235023041474654,
|
1109 |
+
"eval_loss": 0.7633541226387024,
|
1110 |
+
"eval_runtime": 163.5735,
|
1111 |
+
"eval_samples_per_second": 1.327,
|
1112 |
+
"eval_steps_per_second": 0.171,
|
1113 |
+
"step": 1456
|
1114 |
+
},
|
1115 |
+
{
|
1116 |
+
"epoch": 26.0,
|
1117 |
+
"learning_rate": 3.803803803803804e-06,
|
1118 |
+
"loss": 0.7065,
|
1119 |
+
"step": 1460
|
1120 |
+
},
|
1121 |
+
{
|
1122 |
+
"epoch": 26.01,
|
1123 |
+
"learning_rate": 3.7537537537537537e-06,
|
1124 |
+
"loss": 0.6684,
|
1125 |
+
"step": 1470
|
1126 |
+
},
|
1127 |
+
{
|
1128 |
+
"epoch": 26.01,
|
1129 |
+
"learning_rate": 3.7037037037037037e-06,
|
1130 |
+
"loss": 0.786,
|
1131 |
+
"step": 1480
|
1132 |
+
},
|
1133 |
+
{
|
1134 |
+
"epoch": 26.02,
|
1135 |
+
"learning_rate": 3.653653653653654e-06,
|
1136 |
+
"loss": 0.437,
|
1137 |
+
"step": 1490
|
1138 |
+
},
|
1139 |
+
{
|
1140 |
+
"epoch": 26.02,
|
1141 |
+
"learning_rate": 3.603603603603604e-06,
|
1142 |
+
"loss": 0.6708,
|
1143 |
+
"step": 1500
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 26.02,
|
1147 |
+
"learning_rate": 3.5535535535535535e-06,
|
1148 |
+
"loss": 0.6754,
|
1149 |
+
"step": 1510
|
1150 |
+
},
|
1151 |
+
{
|
1152 |
+
"epoch": 26.03,
|
1153 |
+
"eval_accuracy": 0.6359447004608295,
|
1154 |
+
"eval_loss": 0.9443588852882385,
|
1155 |
+
"eval_runtime": 163.9867,
|
1156 |
+
"eval_samples_per_second": 1.323,
|
1157 |
+
"eval_steps_per_second": 0.171,
|
1158 |
+
"step": 1512
|
1159 |
+
},
|
1160 |
+
{
|
1161 |
+
"epoch": 27.0,
|
1162 |
+
"learning_rate": 3.5035035035035036e-06,
|
1163 |
+
"loss": 0.7284,
|
1164 |
+
"step": 1520
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 27.01,
|
1168 |
+
"learning_rate": 3.4534534534534537e-06,
|
1169 |
+
"loss": 0.5413,
|
1170 |
+
"step": 1530
|
1171 |
+
},
|
1172 |
+
{
|
1173 |
+
"epoch": 27.01,
|
1174 |
+
"learning_rate": 3.4034034034034037e-06,
|
1175 |
+
"loss": 0.6884,
|
1176 |
+
"step": 1540
|
1177 |
+
},
|
1178 |
+
{
|
1179 |
+
"epoch": 27.02,
|
1180 |
+
"learning_rate": 3.3533533533533534e-06,
|
1181 |
+
"loss": 0.5541,
|
1182 |
+
"step": 1550
|
1183 |
+
},
|
1184 |
+
{
|
1185 |
+
"epoch": 27.02,
|
1186 |
+
"learning_rate": 3.3033033033033035e-06,
|
1187 |
+
"loss": 0.6673,
|
1188 |
+
"step": 1560
|
1189 |
+
},
|
1190 |
+
{
|
1191 |
+
"epoch": 27.03,
|
1192 |
+
"eval_accuracy": 0.6543778801843319,
|
1193 |
+
"eval_loss": 0.8390823602676392,
|
1194 |
+
"eval_runtime": 164.572,
|
1195 |
+
"eval_samples_per_second": 1.319,
|
1196 |
+
"eval_steps_per_second": 0.17,
|
1197 |
+
"step": 1568
|
1198 |
+
},
|
1199 |
+
{
|
1200 |
+
"epoch": 28.0,
|
1201 |
+
"learning_rate": 3.2532532532532535e-06,
|
1202 |
+
"loss": 0.6895,
|
1203 |
+
"step": 1570
|
1204 |
+
},
|
1205 |
+
{
|
1206 |
+
"epoch": 28.01,
|
1207 |
+
"learning_rate": 3.2032032032032036e-06,
|
1208 |
+
"loss": 0.553,
|
1209 |
+
"step": 1580
|
1210 |
+
},
|
1211 |
+
{
|
1212 |
+
"epoch": 28.01,
|
1213 |
+
"learning_rate": 3.1531531531531532e-06,
|
1214 |
+
"loss": 0.4311,
|
1215 |
+
"step": 1590
|
1216 |
+
},
|
1217 |
+
{
|
1218 |
+
"epoch": 28.01,
|
1219 |
+
"learning_rate": 3.1031031031031033e-06,
|
1220 |
+
"loss": 0.6969,
|
1221 |
+
"step": 1600
|
1222 |
+
},
|
1223 |
+
{
|
1224 |
+
"epoch": 28.02,
|
1225 |
+
"learning_rate": 3.0530530530530534e-06,
|
1226 |
+
"loss": 0.7507,
|
1227 |
+
"step": 1610
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 28.02,
|
1231 |
+
"learning_rate": 3.0030030030030034e-06,
|
1232 |
+
"loss": 0.4924,
|
1233 |
+
"step": 1620
|
1234 |
+
},
|
1235 |
+
{
|
1236 |
+
"epoch": 28.03,
|
1237 |
+
"eval_accuracy": 0.6682027649769585,
|
1238 |
+
"eval_loss": 0.8288503885269165,
|
1239 |
+
"eval_runtime": 164.6437,
|
1240 |
+
"eval_samples_per_second": 1.318,
|
1241 |
+
"eval_steps_per_second": 0.17,
|
1242 |
+
"step": 1624
|
1243 |
+
},
|
1244 |
+
{
|
1245 |
+
"epoch": 29.0,
|
1246 |
+
"learning_rate": 2.952952952952953e-06,
|
1247 |
+
"loss": 0.7695,
|
1248 |
+
"step": 1630
|
1249 |
+
},
|
1250 |
+
{
|
1251 |
+
"epoch": 29.01,
|
1252 |
+
"learning_rate": 2.902902902902903e-06,
|
1253 |
+
"loss": 0.5981,
|
1254 |
+
"step": 1640
|
1255 |
+
},
|
1256 |
+
{
|
1257 |
+
"epoch": 29.01,
|
1258 |
+
"learning_rate": 2.8528528528528532e-06,
|
1259 |
+
"loss": 0.613,
|
1260 |
+
"step": 1650
|
1261 |
+
},
|
1262 |
+
{
|
1263 |
+
"epoch": 29.02,
|
1264 |
+
"learning_rate": 2.8028028028028033e-06,
|
1265 |
+
"loss": 0.5841,
|
1266 |
+
"step": 1660
|
1267 |
+
},
|
1268 |
+
{
|
1269 |
+
"epoch": 29.02,
|
1270 |
+
"learning_rate": 2.752752752752753e-06,
|
1271 |
+
"loss": 0.7704,
|
1272 |
+
"step": 1670
|
1273 |
+
},
|
1274 |
+
{
|
1275 |
+
"epoch": 29.03,
|
1276 |
+
"learning_rate": 2.702702702702703e-06,
|
1277 |
+
"loss": 0.6438,
|
1278 |
+
"step": 1680
|
1279 |
+
},
|
1280 |
+
{
|
1281 |
+
"epoch": 29.03,
|
1282 |
+
"eval_accuracy": 0.6129032258064516,
|
1283 |
+
"eval_loss": 0.9605286121368408,
|
1284 |
+
"eval_runtime": 164.5062,
|
1285 |
+
"eval_samples_per_second": 1.319,
|
1286 |
+
"eval_steps_per_second": 0.17,
|
1287 |
+
"step": 1680
|
1288 |
+
},
|
1289 |
+
{
|
1290 |
+
"epoch": 30.0,
|
1291 |
+
"learning_rate": 2.652652652652653e-06,
|
1292 |
+
"loss": 0.583,
|
1293 |
+
"step": 1690
|
1294 |
+
},
|
1295 |
+
{
|
1296 |
+
"epoch": 30.01,
|
1297 |
+
"learning_rate": 2.602602602602603e-06,
|
1298 |
+
"loss": 0.7539,
|
1299 |
+
"step": 1700
|
1300 |
+
},
|
1301 |
+
{
|
1302 |
+
"epoch": 30.01,
|
1303 |
+
"learning_rate": 2.552552552552553e-06,
|
1304 |
+
"loss": 0.5418,
|
1305 |
+
"step": 1710
|
1306 |
+
},
|
1307 |
+
{
|
1308 |
+
"epoch": 30.02,
|
1309 |
+
"learning_rate": 2.502502502502503e-06,
|
1310 |
+
"loss": 0.6689,
|
1311 |
+
"step": 1720
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 30.02,
|
1315 |
+
"learning_rate": 2.4524524524524525e-06,
|
1316 |
+
"loss": 0.5714,
|
1317 |
+
"step": 1730
|
1318 |
+
},
|
1319 |
+
{
|
1320 |
+
"epoch": 30.03,
|
1321 |
+
"eval_accuracy": 0.6451612903225806,
|
1322 |
+
"eval_loss": 0.8838080763816833,
|
1323 |
+
"eval_runtime": 163.4686,
|
1324 |
+
"eval_samples_per_second": 1.327,
|
1325 |
+
"eval_steps_per_second": 0.171,
|
1326 |
+
"step": 1736
|
1327 |
+
},
|
1328 |
+
{
|
1329 |
+
"epoch": 31.0,
|
1330 |
+
"learning_rate": 2.4024024024024026e-06,
|
1331 |
+
"loss": 0.4737,
|
1332 |
+
"step": 1740
|
1333 |
+
},
|
1334 |
+
{
|
1335 |
+
"epoch": 31.01,
|
1336 |
+
"learning_rate": 2.3523523523523527e-06,
|
1337 |
+
"loss": 0.6563,
|
1338 |
+
"step": 1750
|
1339 |
+
},
|
1340 |
+
{
|
1341 |
+
"epoch": 31.01,
|
1342 |
+
"learning_rate": 2.3023023023023023e-06,
|
1343 |
+
"loss": 0.4469,
|
1344 |
+
"step": 1760
|
1345 |
+
},
|
1346 |
+
{
|
1347 |
+
"epoch": 31.02,
|
1348 |
+
"learning_rate": 2.2522522522522524e-06,
|
1349 |
+
"loss": 0.5655,
|
1350 |
+
"step": 1770
|
1351 |
+
},
|
1352 |
+
{
|
1353 |
+
"epoch": 31.02,
|
1354 |
+
"learning_rate": 2.2022022022022024e-06,
|
1355 |
+
"loss": 0.5421,
|
1356 |
+
"step": 1780
|
1357 |
+
},
|
1358 |
+
{
|
1359 |
+
"epoch": 31.02,
|
1360 |
+
"learning_rate": 2.1521521521521525e-06,
|
1361 |
+
"loss": 0.6726,
|
1362 |
+
"step": 1790
|
1363 |
+
},
|
1364 |
+
{
|
1365 |
+
"epoch": 31.03,
|
1366 |
+
"eval_accuracy": 0.6589861751152074,
|
1367 |
+
"eval_loss": 0.8412278890609741,
|
1368 |
+
"eval_runtime": 164.9282,
|
1369 |
+
"eval_samples_per_second": 1.316,
|
1370 |
+
"eval_steps_per_second": 0.17,
|
1371 |
+
"step": 1792
|
1372 |
+
},
|
1373 |
+
{
|
1374 |
+
"epoch": 32.0,
|
1375 |
+
"learning_rate": 2.102102102102102e-06,
|
1376 |
+
"loss": 0.7254,
|
1377 |
+
"step": 1800
|
1378 |
+
},
|
1379 |
+
{
|
1380 |
+
"epoch": 32.01,
|
1381 |
+
"learning_rate": 2.0520520520520522e-06,
|
1382 |
+
"loss": 0.5397,
|
1383 |
+
"step": 1810
|
1384 |
+
},
|
1385 |
+
{
|
1386 |
+
"epoch": 32.01,
|
1387 |
+
"learning_rate": 2.0020020020020023e-06,
|
1388 |
+
"loss": 0.596,
|
1389 |
+
"step": 1820
|
1390 |
+
},
|
1391 |
+
{
|
1392 |
+
"epoch": 32.02,
|
1393 |
+
"learning_rate": 1.951951951951952e-06,
|
1394 |
+
"loss": 0.5603,
|
1395 |
+
"step": 1830
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 32.02,
|
1399 |
+
"learning_rate": 1.901901901901902e-06,
|
1400 |
+
"loss": 0.5027,
|
1401 |
+
"step": 1840
|
1402 |
+
},
|
1403 |
+
{
|
1404 |
+
"epoch": 32.03,
|
1405 |
+
"eval_accuracy": 0.6728110599078341,
|
1406 |
+
"eval_loss": 0.8439391255378723,
|
1407 |
+
"eval_runtime": 168.1229,
|
1408 |
+
"eval_samples_per_second": 1.291,
|
1409 |
+
"eval_steps_per_second": 0.167,
|
1410 |
+
"step": 1848
|
1411 |
+
},
|
1412 |
+
{
|
1413 |
+
"epoch": 33.0,
|
1414 |
+
"learning_rate": 1.8518518518518519e-06,
|
1415 |
+
"loss": 0.6769,
|
1416 |
+
"step": 1850
|
1417 |
+
},
|
1418 |
+
{
|
1419 |
+
"epoch": 33.01,
|
1420 |
+
"learning_rate": 1.801801801801802e-06,
|
1421 |
+
"loss": 0.565,
|
1422 |
+
"step": 1860
|
1423 |
+
},
|
1424 |
+
{
|
1425 |
+
"epoch": 33.01,
|
1426 |
+
"learning_rate": 1.7517517517517518e-06,
|
1427 |
+
"loss": 0.556,
|
1428 |
+
"step": 1870
|
1429 |
+
},
|
1430 |
+
{
|
1431 |
+
"epoch": 33.01,
|
1432 |
+
"learning_rate": 1.7017017017017019e-06,
|
1433 |
+
"loss": 0.4187,
|
1434 |
+
"step": 1880
|
1435 |
+
},
|
1436 |
+
{
|
1437 |
+
"epoch": 33.02,
|
1438 |
+
"learning_rate": 1.6516516516516517e-06,
|
1439 |
+
"loss": 0.4718,
|
1440 |
+
"step": 1890
|
1441 |
+
},
|
1442 |
+
{
|
1443 |
+
"epoch": 33.02,
|
1444 |
+
"learning_rate": 1.6016016016016018e-06,
|
1445 |
+
"loss": 0.4649,
|
1446 |
+
"step": 1900
|
1447 |
+
},
|
1448 |
+
{
|
1449 |
+
"epoch": 33.03,
|
1450 |
+
"eval_accuracy": 0.6267281105990783,
|
1451 |
+
"eval_loss": 0.9524617791175842,
|
1452 |
+
"eval_runtime": 169.6407,
|
1453 |
+
"eval_samples_per_second": 1.279,
|
1454 |
+
"eval_steps_per_second": 0.165,
|
1455 |
+
"step": 1904
|
1456 |
+
},
|
1457 |
+
{
|
1458 |
+
"epoch": 34.0,
|
1459 |
+
"learning_rate": 1.5515515515515517e-06,
|
1460 |
+
"loss": 0.4505,
|
1461 |
+
"step": 1910
|
1462 |
+
},
|
1463 |
+
{
|
1464 |
+
"epoch": 34.01,
|
1465 |
+
"learning_rate": 1.5015015015015017e-06,
|
1466 |
+
"loss": 0.5412,
|
1467 |
+
"step": 1920
|
1468 |
+
},
|
1469 |
+
{
|
1470 |
+
"epoch": 34.01,
|
1471 |
+
"learning_rate": 1.4514514514514516e-06,
|
1472 |
+
"loss": 0.5931,
|
1473 |
+
"step": 1930
|
1474 |
+
},
|
1475 |
+
{
|
1476 |
+
"epoch": 34.02,
|
1477 |
+
"learning_rate": 1.4014014014014016e-06,
|
1478 |
+
"loss": 0.4183,
|
1479 |
+
"step": 1940
|
1480 |
+
},
|
1481 |
+
{
|
1482 |
+
"epoch": 34.02,
|
1483 |
+
"learning_rate": 1.3513513513513515e-06,
|
1484 |
+
"loss": 0.6046,
|
1485 |
+
"step": 1950
|
1486 |
+
},
|
1487 |
+
{
|
1488 |
+
"epoch": 34.03,
|
1489 |
+
"learning_rate": 1.3013013013013016e-06,
|
1490 |
+
"loss": 0.6625,
|
1491 |
+
"step": 1960
|
1492 |
+
},
|
1493 |
+
{
|
1494 |
+
"epoch": 34.03,
|
1495 |
+
"eval_accuracy": 0.728110599078341,
|
1496 |
+
"eval_loss": 0.7850246429443359,
|
1497 |
+
"eval_runtime": 164.4991,
|
1498 |
+
"eval_samples_per_second": 1.319,
|
1499 |
+
"eval_steps_per_second": 0.17,
|
1500 |
+
"step": 1960
|
1501 |
+
},
|
1502 |
+
{
|
1503 |
+
"epoch": 35.0,
|
1504 |
+
"learning_rate": 1.2512512512512514e-06,
|
1505 |
+
"loss": 0.5967,
|
1506 |
+
"step": 1970
|
1507 |
+
},
|
1508 |
+
{
|
1509 |
+
"epoch": 35.01,
|
1510 |
+
"learning_rate": 1.2012012012012013e-06,
|
1511 |
+
"loss": 0.5503,
|
1512 |
+
"step": 1980
|
1513 |
+
},
|
1514 |
+
{
|
1515 |
+
"epoch": 35.01,
|
1516 |
+
"learning_rate": 1.1511511511511512e-06,
|
1517 |
+
"loss": 0.5159,
|
1518 |
+
"step": 1990
|
1519 |
+
},
|
1520 |
+
{
|
1521 |
+
"epoch": 35.02,
|
1522 |
+
"learning_rate": 1.1011011011011012e-06,
|
1523 |
+
"loss": 0.4377,
|
1524 |
+
"step": 2000
|
1525 |
+
},
|
1526 |
+
{
|
1527 |
+
"epoch": 35.02,
|
1528 |
+
"learning_rate": 1.051051051051051e-06,
|
1529 |
+
"loss": 0.5793,
|
1530 |
+
"step": 2010
|
1531 |
+
},
|
1532 |
+
{
|
1533 |
+
"epoch": 35.03,
|
1534 |
+
"eval_accuracy": 0.6728110599078341,
|
1535 |
+
"eval_loss": 0.8481199741363525,
|
1536 |
+
"eval_runtime": 164.3359,
|
1537 |
+
"eval_samples_per_second": 1.32,
|
1538 |
+
"eval_steps_per_second": 0.17,
|
1539 |
+
"step": 2016
|
1540 |
+
},
|
1541 |
+
{
|
1542 |
+
"epoch": 36.0,
|
1543 |
+
"learning_rate": 1.0010010010010011e-06,
|
1544 |
+
"loss": 0.7009,
|
1545 |
+
"step": 2020
|
1546 |
+
},
|
1547 |
+
{
|
1548 |
+
"epoch": 36.01,
|
1549 |
+
"learning_rate": 9.50950950950951e-07,
|
1550 |
+
"loss": 0.5902,
|
1551 |
+
"step": 2030
|
1552 |
+
},
|
1553 |
+
{
|
1554 |
+
"epoch": 36.01,
|
1555 |
+
"learning_rate": 9.00900900900901e-07,
|
1556 |
+
"loss": 0.5366,
|
1557 |
+
"step": 2040
|
1558 |
+
},
|
1559 |
+
{
|
1560 |
+
"epoch": 36.02,
|
1561 |
+
"learning_rate": 8.508508508508509e-07,
|
1562 |
+
"loss": 0.5119,
|
1563 |
+
"step": 2050
|
1564 |
+
},
|
1565 |
+
{
|
1566 |
+
"epoch": 36.02,
|
1567 |
+
"learning_rate": 8.008008008008009e-07,
|
1568 |
+
"loss": 0.4946,
|
1569 |
+
"step": 2060
|
1570 |
+
},
|
1571 |
+
{
|
1572 |
+
"epoch": 36.02,
|
1573 |
+
"learning_rate": 7.507507507507509e-07,
|
1574 |
+
"loss": 0.6411,
|
1575 |
+
"step": 2070
|
1576 |
+
},
|
1577 |
+
{
|
1578 |
+
"epoch": 36.03,
|
1579 |
+
"eval_accuracy": 0.6589861751152074,
|
1580 |
+
"eval_loss": 0.8842198252677917,
|
1581 |
+
"eval_runtime": 164.6218,
|
1582 |
+
"eval_samples_per_second": 1.318,
|
1583 |
+
"eval_steps_per_second": 0.17,
|
1584 |
+
"step": 2072
|
1585 |
+
},
|
1586 |
+
{
|
1587 |
+
"epoch": 37.0,
|
1588 |
+
"learning_rate": 7.007007007007008e-07,
|
1589 |
+
"loss": 0.5172,
|
1590 |
+
"step": 2080
|
1591 |
+
},
|
1592 |
+
{
|
1593 |
+
"epoch": 37.01,
|
1594 |
+
"learning_rate": 6.506506506506508e-07,
|
1595 |
+
"loss": 0.3986,
|
1596 |
+
"step": 2090
|
1597 |
+
},
|
1598 |
+
{
|
1599 |
+
"epoch": 37.01,
|
1600 |
+
"learning_rate": 6.006006006006006e-07,
|
1601 |
+
"loss": 0.4807,
|
1602 |
+
"step": 2100
|
1603 |
+
},
|
1604 |
+
{
|
1605 |
+
"epoch": 37.02,
|
1606 |
+
"learning_rate": 5.505505505505506e-07,
|
1607 |
+
"loss": 0.4681,
|
1608 |
+
"step": 2110
|
1609 |
+
},
|
1610 |
+
{
|
1611 |
+
"epoch": 37.02,
|
1612 |
+
"learning_rate": 5.005005005005006e-07,
|
1613 |
+
"loss": 0.6592,
|
1614 |
+
"step": 2120
|
1615 |
+
},
|
1616 |
+
{
|
1617 |
+
"epoch": 37.03,
|
1618 |
+
"eval_accuracy": 0.6912442396313364,
|
1619 |
+
"eval_loss": 0.802787184715271,
|
1620 |
+
"eval_runtime": 163.9059,
|
1621 |
+
"eval_samples_per_second": 1.324,
|
1622 |
+
"eval_steps_per_second": 0.171,
|
1623 |
+
"step": 2128
|
1624 |
+
},
|
1625 |
+
{
|
1626 |
+
"epoch": 38.0,
|
1627 |
+
"learning_rate": 4.504504504504505e-07,
|
1628 |
+
"loss": 0.5769,
|
1629 |
+
"step": 2130
|
1630 |
+
},
|
1631 |
+
{
|
1632 |
+
"epoch": 38.01,
|
1633 |
+
"learning_rate": 4.0040040040040045e-07,
|
1634 |
+
"loss": 0.6323,
|
1635 |
+
"step": 2140
|
1636 |
+
},
|
1637 |
+
{
|
1638 |
+
"epoch": 38.01,
|
1639 |
+
"learning_rate": 3.503503503503504e-07,
|
1640 |
+
"loss": 0.5319,
|
1641 |
+
"step": 2150
|
1642 |
+
},
|
1643 |
+
{
|
1644 |
+
"epoch": 38.01,
|
1645 |
+
"learning_rate": 3.003003003003003e-07,
|
1646 |
+
"loss": 0.6306,
|
1647 |
+
"step": 2160
|
1648 |
+
},
|
1649 |
+
{
|
1650 |
+
"epoch": 38.02,
|
1651 |
+
"learning_rate": 2.502502502502503e-07,
|
1652 |
+
"loss": 0.6192,
|
1653 |
+
"step": 2170
|
1654 |
+
},
|
1655 |
+
{
|
1656 |
+
"epoch": 38.02,
|
1657 |
+
"learning_rate": 2.0020020020020022e-07,
|
1658 |
+
"loss": 0.5524,
|
1659 |
+
"step": 2180
|
1660 |
+
},
|
1661 |
+
{
|
1662 |
+
"epoch": 38.03,
|
1663 |
+
"eval_accuracy": 0.6866359447004609,
|
1664 |
+
"eval_loss": 0.821592390537262,
|
1665 |
+
"eval_runtime": 165.1926,
|
1666 |
+
"eval_samples_per_second": 1.314,
|
1667 |
+
"eval_steps_per_second": 0.169,
|
1668 |
+
"step": 2184
|
1669 |
+
},
|
1670 |
+
{
|
1671 |
+
"epoch": 39.0,
|
1672 |
+
"learning_rate": 1.5015015015015016e-07,
|
1673 |
+
"loss": 0.5701,
|
1674 |
+
"step": 2190
|
1675 |
+
},
|
1676 |
+
{
|
1677 |
+
"epoch": 39.01,
|
1678 |
+
"learning_rate": 1.0010010010010011e-07,
|
1679 |
+
"loss": 0.5891,
|
1680 |
+
"step": 2200
|
1681 |
+
},
|
1682 |
+
{
|
1683 |
+
"epoch": 39.01,
|
1684 |
+
"learning_rate": 5.0050050050050056e-08,
|
1685 |
+
"loss": 0.5807,
|
1686 |
+
"step": 2210
|
1687 |
+
},
|
1688 |
+
{
|
1689 |
+
"epoch": 39.02,
|
1690 |
+
"learning_rate": 0.0,
|
1691 |
+
"loss": 0.5697,
|
1692 |
+
"step": 2220
|
1693 |
+
},
|
1694 |
+
{
|
1695 |
+
"epoch": 39.02,
|
1696 |
+
"eval_accuracy": 0.6774193548387096,
|
1697 |
+
"eval_loss": 0.833946943283081,
|
1698 |
+
"eval_runtime": 164.2083,
|
1699 |
+
"eval_samples_per_second": 1.321,
|
1700 |
+
"eval_steps_per_second": 0.171,
|
1701 |
+
"step": 2220
|
1702 |
+
},
|
1703 |
+
{
|
1704 |
+
"epoch": 39.02,
|
1705 |
+
"step": 2220,
|
1706 |
+
"total_flos": 2.208334746599719e+19,
|
1707 |
+
"train_loss": 0.8170982454274152,
|
1708 |
+
"train_runtime": 23121.8467,
|
1709 |
+
"train_samples_per_second": 0.768,
|
1710 |
+
"train_steps_per_second": 0.096
|
1711 |
+
},
|
1712 |
+
{
|
1713 |
+
"epoch": 39.02,
|
1714 |
+
"eval_accuracy": 0.6342592592592593,
|
1715 |
+
"eval_loss": 0.8682467341423035,
|
1716 |
+
"eval_runtime": 165.599,
|
1717 |
+
"eval_samples_per_second": 1.304,
|
1718 |
+
"eval_steps_per_second": 0.163,
|
1719 |
+
"step": 2220
|
1720 |
+
},
|
1721 |
+
{
|
1722 |
+
"epoch": 39.02,
|
1723 |
+
"eval_accuracy": 0.6342592592592593,
|
1724 |
+
"eval_loss": 0.8682467341423035,
|
1725 |
+
"eval_runtime": 165.9338,
|
1726 |
+
"eval_samples_per_second": 1.302,
|
1727 |
+
"eval_steps_per_second": 0.163,
|
1728 |
+
"step": 2220
|
1729 |
}
|
1730 |
],
|
1731 |
"logging_steps": 10,
|
1732 |
+
"max_steps": 2220,
|
1733 |
"num_input_tokens_seen": 0,
|
1734 |
"num_train_epochs": 9223372036854775807,
|
1735 |
"save_steps": 500,
|
1736 |
+
"total_flos": 2.208334746599719e+19,
|
1737 |
"train_batch_size": 8,
|
1738 |
"trial_name": null,
|
1739 |
"trial_params": null
|