Upload 7 files
Browse files- adapter_config.json +2 -2
- adapter_model.safetensors +1 -1
- optimizer.pt +1 -1
- scheduler.pt +1 -1
- trainer_state.json +978 -978
- training_args.bin +1 -1
adapter_config.json
CHANGED
@@ -19,10 +19,10 @@
|
|
19 |
"rank_pattern": {},
|
20 |
"revision": null,
|
21 |
"target_modules": [
|
22 |
-
"
|
23 |
"k_proj",
|
24 |
"q_proj",
|
25 |
-
"
|
26 |
],
|
27 |
"task_type": "CAUSAL_LM",
|
28 |
"use_rslora": false
|
|
|
19 |
"rank_pattern": {},
|
20 |
"revision": null,
|
21 |
"target_modules": [
|
22 |
+
"o_proj",
|
23 |
"k_proj",
|
24 |
"q_proj",
|
25 |
+
"v_proj"
|
26 |
],
|
27 |
"task_type": "CAUSAL_LM",
|
28 |
"use_rslora": false
|
adapter_model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 27297032
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9971ca0c7d7f6470346206fd9be49cc9b9a68fd39e38573c04a1c5a6653b5672
|
3 |
size 27297032
|
optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 54677370
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:68c6c9d93d6a58cc48aff7156f4bc8c56d7de3f786bedd436062e48013a689a4
|
3 |
size 54677370
|
scheduler.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 1064
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c0c29dc88708018152a27558aca5fb453b40fb90c979080616ee02098afc7f77
|
3 |
size 1064
|
trainer_state.json
CHANGED
@@ -10,2960 +10,2960 @@
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.0,
|
13 |
-
"learning_rate": 0.
|
14 |
-
"loss": 2.
|
15 |
"step": 1
|
16 |
},
|
17 |
{
|
18 |
"epoch": 0.0,
|
19 |
"learning_rate": 0.0001,
|
20 |
-
"loss": 2.
|
21 |
"step": 2
|
22 |
},
|
23 |
{
|
24 |
"epoch": 0.01,
|
25 |
"learning_rate": 0.0002,
|
26 |
-
"loss":
|
27 |
"step": 3
|
28 |
},
|
29 |
{
|
30 |
"epoch": 0.01,
|
31 |
"learning_rate": 0.0001995983935742972,
|
32 |
-
"loss":
|
33 |
"step": 4
|
34 |
},
|
35 |
{
|
36 |
"epoch": 0.01,
|
37 |
"learning_rate": 0.0001991967871485944,
|
38 |
-
"loss": 1.
|
39 |
"step": 5
|
40 |
},
|
41 |
{
|
42 |
"epoch": 0.01,
|
43 |
-
"learning_rate": 0.
|
44 |
-
"loss": 1.
|
45 |
"step": 6
|
46 |
},
|
47 |
{
|
48 |
"epoch": 0.01,
|
49 |
-
"learning_rate": 0.
|
50 |
-
"loss": 1.
|
51 |
"step": 7
|
52 |
},
|
53 |
{
|
54 |
"epoch": 0.02,
|
55 |
-
"learning_rate": 0.
|
56 |
-
"loss":
|
57 |
"step": 8
|
58 |
},
|
59 |
{
|
60 |
"epoch": 0.02,
|
61 |
-
"learning_rate": 0.
|
62 |
-
"loss":
|
63 |
"step": 9
|
64 |
},
|
65 |
{
|
66 |
"epoch": 0.02,
|
67 |
-
"learning_rate": 0.
|
68 |
-
"loss": 0.
|
69 |
"step": 10
|
70 |
},
|
71 |
{
|
72 |
"epoch": 0.02,
|
73 |
-
"learning_rate": 0.
|
74 |
-
"loss": 0.
|
75 |
"step": 11
|
76 |
},
|
77 |
{
|
78 |
"epoch": 0.02,
|
79 |
-
"learning_rate": 0.
|
80 |
-
"loss": 0.
|
81 |
"step": 12
|
82 |
},
|
83 |
{
|
84 |
"epoch": 0.03,
|
85 |
-
"learning_rate": 0.
|
86 |
-
"loss": 0.
|
87 |
"step": 13
|
88 |
},
|
89 |
{
|
90 |
"epoch": 0.03,
|
91 |
-
"learning_rate": 0.
|
92 |
-
"loss": 0.
|
93 |
"step": 14
|
94 |
},
|
95 |
{
|
96 |
"epoch": 0.03,
|
97 |
-
"learning_rate": 0.
|
98 |
-
"loss": 0.
|
99 |
"step": 15
|
100 |
},
|
101 |
{
|
102 |
"epoch": 0.03,
|
103 |
-
"learning_rate": 0.
|
104 |
-
"loss": 0.
|
105 |
"step": 16
|
106 |
},
|
107 |
{
|
108 |
"epoch": 0.03,
|
109 |
-
"learning_rate": 0.
|
110 |
-
"loss": 0.
|
111 |
"step": 17
|
112 |
},
|
113 |
{
|
114 |
"epoch": 0.04,
|
115 |
-
"learning_rate": 0.
|
116 |
-
"loss": 0.
|
117 |
"step": 18
|
118 |
},
|
119 |
{
|
120 |
"epoch": 0.04,
|
121 |
-
"learning_rate": 0.
|
122 |
-
"loss": 0.
|
123 |
"step": 19
|
124 |
},
|
125 |
{
|
126 |
"epoch": 0.04,
|
127 |
-
"learning_rate": 0.
|
128 |
-
"loss": 0.
|
129 |
"step": 20
|
130 |
},
|
131 |
{
|
132 |
"epoch": 0.04,
|
133 |
-
"learning_rate": 0.
|
134 |
-
"loss": 0.
|
135 |
"step": 21
|
136 |
},
|
137 |
{
|
138 |
"epoch": 0.04,
|
139 |
-
"learning_rate": 0.
|
140 |
-
"loss": 0.
|
141 |
"step": 22
|
142 |
},
|
143 |
{
|
144 |
"epoch": 0.05,
|
145 |
-
"learning_rate": 0.
|
146 |
-
"loss": 0.
|
147 |
"step": 23
|
148 |
},
|
149 |
{
|
150 |
"epoch": 0.05,
|
151 |
-
"learning_rate": 0.
|
152 |
-
"loss": 0.
|
153 |
"step": 24
|
154 |
},
|
155 |
{
|
156 |
"epoch": 0.05,
|
157 |
-
"learning_rate": 0.
|
158 |
-
"loss": 0.
|
159 |
"step": 25
|
160 |
},
|
161 |
{
|
162 |
"epoch": 0.05,
|
163 |
-
"learning_rate": 0.
|
164 |
-
"loss": 0.
|
165 |
"step": 26
|
166 |
},
|
167 |
{
|
168 |
"epoch": 0.05,
|
169 |
-
"learning_rate": 0.
|
170 |
-
"loss": 0.
|
171 |
"step": 27
|
172 |
},
|
173 |
{
|
174 |
"epoch": 0.06,
|
175 |
-
"learning_rate": 0.
|
176 |
-
"loss": 0.
|
177 |
"step": 28
|
178 |
},
|
179 |
{
|
180 |
"epoch": 0.06,
|
181 |
-
"learning_rate": 0.
|
182 |
-
"loss": 0.
|
183 |
"step": 29
|
184 |
},
|
185 |
{
|
186 |
"epoch": 0.06,
|
187 |
-
"learning_rate": 0.
|
188 |
-
"loss": 0.
|
189 |
"step": 30
|
190 |
},
|
191 |
{
|
192 |
"epoch": 0.06,
|
193 |
-
"learning_rate": 0.
|
194 |
-
"loss": 0.
|
195 |
"step": 31
|
196 |
},
|
197 |
{
|
198 |
"epoch": 0.06,
|
199 |
-
"learning_rate": 0.
|
200 |
-
"loss": 0.
|
201 |
"step": 32
|
202 |
},
|
203 |
{
|
204 |
"epoch": 0.07,
|
205 |
-
"learning_rate": 0.
|
206 |
-
"loss": 0.
|
207 |
"step": 33
|
208 |
},
|
209 |
{
|
210 |
"epoch": 0.07,
|
211 |
-
"learning_rate": 0.
|
212 |
-
"loss": 0.
|
213 |
"step": 34
|
214 |
},
|
215 |
{
|
216 |
"epoch": 0.07,
|
217 |
-
"learning_rate": 0.
|
218 |
-
"loss": 0.
|
219 |
"step": 35
|
220 |
},
|
221 |
{
|
222 |
"epoch": 0.07,
|
223 |
-
"learning_rate": 0.
|
224 |
-
"loss": 0.
|
225 |
"step": 36
|
226 |
},
|
227 |
{
|
228 |
"epoch": 0.08,
|
229 |
-
"learning_rate": 0.
|
230 |
-
"loss": 0.
|
231 |
"step": 37
|
232 |
},
|
233 |
{
|
234 |
"epoch": 0.08,
|
235 |
-
"learning_rate": 0.
|
236 |
-
"loss": 0.
|
237 |
"step": 38
|
238 |
},
|
239 |
{
|
240 |
"epoch": 0.08,
|
241 |
-
"learning_rate": 0.
|
242 |
-
"loss": 0.
|
243 |
"step": 39
|
244 |
},
|
245 |
{
|
246 |
"epoch": 0.08,
|
247 |
-
"learning_rate": 0.
|
248 |
-
"loss": 0.
|
249 |
"step": 40
|
250 |
},
|
251 |
{
|
252 |
"epoch": 0.08,
|
253 |
-
"learning_rate": 0.
|
254 |
-
"loss": 0.
|
255 |
"step": 41
|
256 |
},
|
257 |
{
|
258 |
"epoch": 0.09,
|
259 |
-
"learning_rate": 0.
|
260 |
-
"loss": 0.
|
261 |
"step": 42
|
262 |
},
|
263 |
{
|
264 |
"epoch": 0.09,
|
265 |
-
"learning_rate": 0.
|
266 |
-
"loss": 0.
|
267 |
"step": 43
|
268 |
},
|
269 |
{
|
270 |
"epoch": 0.09,
|
271 |
-
"learning_rate": 0.
|
272 |
-
"loss": 0.
|
273 |
"step": 44
|
274 |
},
|
275 |
{
|
276 |
"epoch": 0.09,
|
277 |
-
"learning_rate": 0.
|
278 |
-
"loss": 0.
|
279 |
"step": 45
|
280 |
},
|
281 |
{
|
282 |
"epoch": 0.09,
|
283 |
-
"learning_rate": 0.
|
284 |
-
"loss": 0.
|
285 |
"step": 46
|
286 |
},
|
287 |
{
|
288 |
"epoch": 0.1,
|
289 |
-
"learning_rate": 0.
|
290 |
-
"loss": 0.
|
291 |
"step": 47
|
292 |
},
|
293 |
{
|
294 |
"epoch": 0.1,
|
295 |
-
"learning_rate": 0.
|
296 |
-
"loss": 0.
|
297 |
"step": 48
|
298 |
},
|
299 |
{
|
300 |
"epoch": 0.1,
|
301 |
-
"learning_rate": 0.
|
302 |
-
"loss": 0.
|
303 |
"step": 49
|
304 |
},
|
305 |
{
|
306 |
"epoch": 0.1,
|
307 |
-
"learning_rate": 0.
|
308 |
-
"loss": 0.
|
309 |
"step": 50
|
310 |
},
|
311 |
{
|
312 |
"epoch": 0.1,
|
313 |
-
"learning_rate": 0.
|
314 |
-
"loss": 0.
|
315 |
"step": 51
|
316 |
},
|
317 |
{
|
318 |
"epoch": 0.11,
|
319 |
-
"learning_rate": 0.
|
320 |
-
"loss": 0.
|
321 |
"step": 52
|
322 |
},
|
323 |
{
|
324 |
"epoch": 0.11,
|
325 |
-
"learning_rate": 0.
|
326 |
-
"loss": 0.
|
327 |
"step": 53
|
328 |
},
|
329 |
{
|
330 |
"epoch": 0.11,
|
331 |
-
"learning_rate": 0.
|
332 |
-
"loss": 0.
|
333 |
"step": 54
|
334 |
},
|
335 |
{
|
336 |
"epoch": 0.11,
|
337 |
-
"learning_rate": 0.
|
338 |
-
"loss": 0.
|
339 |
"step": 55
|
340 |
},
|
341 |
{
|
342 |
"epoch": 0.11,
|
343 |
-
"learning_rate": 0.
|
344 |
-
"loss": 0.
|
345 |
"step": 56
|
346 |
},
|
347 |
{
|
348 |
"epoch": 0.12,
|
349 |
-
"learning_rate": 0.
|
350 |
-
"loss": 0.
|
351 |
"step": 57
|
352 |
},
|
353 |
{
|
354 |
"epoch": 0.12,
|
355 |
-
"learning_rate": 0.
|
356 |
-
"loss": 0.
|
357 |
"step": 58
|
358 |
},
|
359 |
{
|
360 |
"epoch": 0.12,
|
361 |
-
"learning_rate": 0.
|
362 |
-
"loss": 0.
|
363 |
"step": 59
|
364 |
},
|
365 |
{
|
366 |
"epoch": 0.12,
|
367 |
-
"learning_rate": 0.
|
368 |
-
"loss": 0.
|
369 |
"step": 60
|
370 |
},
|
371 |
{
|
372 |
"epoch": 0.12,
|
373 |
-
"learning_rate": 0.
|
374 |
-
"loss": 0.
|
375 |
"step": 61
|
376 |
},
|
377 |
{
|
378 |
"epoch": 0.13,
|
379 |
-
"learning_rate": 0.
|
380 |
-
"loss": 0.
|
381 |
"step": 62
|
382 |
},
|
383 |
{
|
384 |
"epoch": 0.13,
|
385 |
-
"learning_rate": 0.
|
386 |
-
"loss": 0.
|
387 |
"step": 63
|
388 |
},
|
389 |
{
|
390 |
"epoch": 0.13,
|
391 |
-
"learning_rate": 0.
|
392 |
-
"loss": 0.
|
393 |
"step": 64
|
394 |
},
|
395 |
{
|
396 |
"epoch": 0.13,
|
397 |
-
"learning_rate": 0.
|
398 |
-
"loss": 0.
|
399 |
"step": 65
|
400 |
},
|
401 |
{
|
402 |
"epoch": 0.13,
|
403 |
"learning_rate": 0.00017510040160642571,
|
404 |
-
"loss": 0.
|
405 |
"step": 66
|
406 |
},
|
407 |
{
|
408 |
"epoch": 0.14,
|
409 |
"learning_rate": 0.0001746987951807229,
|
410 |
-
"loss": 0.
|
411 |
"step": 67
|
412 |
},
|
413 |
{
|
414 |
"epoch": 0.14,
|
415 |
"learning_rate": 0.0001742971887550201,
|
416 |
-
"loss": 0.
|
417 |
"step": 68
|
418 |
},
|
419 |
{
|
420 |
"epoch": 0.14,
|
421 |
"learning_rate": 0.00017389558232931728,
|
422 |
-
"loss": 0.
|
423 |
"step": 69
|
424 |
},
|
425 |
{
|
426 |
"epoch": 0.14,
|
427 |
-
"learning_rate": 0.
|
428 |
-
"loss": 0.
|
429 |
"step": 70
|
430 |
},
|
431 |
{
|
432 |
"epoch": 0.14,
|
433 |
-
"learning_rate": 0.
|
434 |
-
"loss": 0.
|
435 |
"step": 71
|
436 |
},
|
437 |
{
|
438 |
"epoch": 0.15,
|
439 |
-
"learning_rate": 0.
|
440 |
-
"loss": 0.
|
441 |
"step": 72
|
442 |
},
|
443 |
{
|
444 |
"epoch": 0.15,
|
445 |
-
"learning_rate": 0.
|
446 |
-
"loss": 0.
|
447 |
"step": 73
|
448 |
},
|
449 |
{
|
450 |
"epoch": 0.15,
|
451 |
-
"learning_rate": 0.
|
452 |
-
"loss": 0.
|
453 |
"step": 74
|
454 |
},
|
455 |
{
|
456 |
"epoch": 0.15,
|
457 |
-
"learning_rate": 0.
|
458 |
-
"loss": 0.
|
459 |
"step": 75
|
460 |
},
|
461 |
{
|
462 |
"epoch": 0.15,
|
463 |
-
"learning_rate": 0.
|
464 |
-
"loss": 0.
|
465 |
"step": 76
|
466 |
},
|
467 |
{
|
468 |
"epoch": 0.16,
|
469 |
-
"learning_rate": 0.
|
470 |
-
"loss": 0.
|
471 |
"step": 77
|
472 |
},
|
473 |
{
|
474 |
"epoch": 0.16,
|
475 |
-
"learning_rate": 0.
|
476 |
-
"loss": 0.
|
477 |
"step": 78
|
478 |
},
|
479 |
{
|
480 |
"epoch": 0.16,
|
481 |
-
"learning_rate": 0.
|
482 |
-
"loss": 0.
|
483 |
"step": 79
|
484 |
},
|
485 |
{
|
486 |
"epoch": 0.16,
|
487 |
-
"learning_rate": 0.
|
488 |
-
"loss": 0.
|
489 |
"step": 80
|
490 |
},
|
491 |
{
|
492 |
"epoch": 0.16,
|
493 |
-
"learning_rate": 0.
|
494 |
-
"loss": 0.
|
495 |
"step": 81
|
496 |
},
|
497 |
{
|
498 |
"epoch": 0.17,
|
499 |
-
"learning_rate": 0.
|
500 |
-
"loss": 0.
|
501 |
"step": 82
|
502 |
},
|
503 |
{
|
504 |
"epoch": 0.17,
|
505 |
-
"learning_rate": 0.
|
506 |
-
"loss": 0.
|
507 |
"step": 83
|
508 |
},
|
509 |
{
|
510 |
"epoch": 0.17,
|
511 |
-
"learning_rate": 0.
|
512 |
-
"loss": 0.
|
513 |
"step": 84
|
514 |
},
|
515 |
{
|
516 |
"epoch": 0.17,
|
517 |
-
"learning_rate": 0.
|
518 |
-
"loss": 0.
|
519 |
"step": 85
|
520 |
},
|
521 |
{
|
522 |
"epoch": 0.17,
|
523 |
-
"learning_rate": 0.
|
524 |
-
"loss": 0.
|
525 |
"step": 86
|
526 |
},
|
527 |
{
|
528 |
"epoch": 0.18,
|
529 |
-
"learning_rate": 0.
|
530 |
-
"loss": 0.
|
531 |
"step": 87
|
532 |
},
|
533 |
{
|
534 |
"epoch": 0.18,
|
535 |
-
"learning_rate": 0.
|
536 |
-
"loss": 0.
|
537 |
"step": 88
|
538 |
},
|
539 |
{
|
540 |
"epoch": 0.18,
|
541 |
-
"learning_rate": 0.
|
542 |
-
"loss": 0.
|
543 |
"step": 89
|
544 |
},
|
545 |
{
|
546 |
"epoch": 0.18,
|
547 |
-
"learning_rate": 0.
|
548 |
-
"loss": 0.
|
549 |
"step": 90
|
550 |
},
|
551 |
{
|
552 |
"epoch": 0.18,
|
553 |
-
"learning_rate": 0.
|
554 |
-
"loss": 0.
|
555 |
"step": 91
|
556 |
},
|
557 |
{
|
558 |
"epoch": 0.19,
|
559 |
-
"learning_rate": 0.
|
560 |
-
"loss": 0.
|
561 |
"step": 92
|
562 |
},
|
563 |
{
|
564 |
"epoch": 0.19,
|
565 |
-
"learning_rate": 0.
|
566 |
-
"loss": 0.
|
567 |
"step": 93
|
568 |
},
|
569 |
{
|
570 |
"epoch": 0.19,
|
571 |
-
"learning_rate": 0.
|
572 |
-
"loss": 0.
|
573 |
"step": 94
|
574 |
},
|
575 |
{
|
576 |
"epoch": 0.19,
|
577 |
-
"learning_rate": 0.
|
578 |
-
"loss": 0.
|
579 |
"step": 95
|
580 |
},
|
581 |
{
|
582 |
"epoch": 0.19,
|
583 |
-
"learning_rate": 0.
|
584 |
-
"loss": 0.
|
585 |
"step": 96
|
586 |
},
|
587 |
{
|
588 |
"epoch": 0.2,
|
589 |
-
"learning_rate": 0.
|
590 |
-
"loss": 0.
|
591 |
"step": 97
|
592 |
},
|
593 |
{
|
594 |
"epoch": 0.2,
|
595 |
-
"learning_rate": 0.
|
596 |
-
"loss": 0.
|
597 |
"step": 98
|
598 |
},
|
599 |
{
|
600 |
"epoch": 0.2,
|
601 |
-
"learning_rate": 0.
|
602 |
-
"loss": 0.
|
603 |
"step": 99
|
604 |
},
|
605 |
{
|
606 |
"epoch": 0.2,
|
607 |
-
"learning_rate": 0.
|
608 |
-
"loss": 0.
|
609 |
"step": 100
|
610 |
},
|
611 |
{
|
612 |
"epoch": 0.2,
|
613 |
-
"learning_rate": 0.
|
614 |
-
"loss": 0.
|
615 |
"step": 101
|
616 |
},
|
617 |
{
|
618 |
"epoch": 0.21,
|
619 |
-
"learning_rate": 0.
|
620 |
-
"loss": 0.
|
621 |
"step": 102
|
622 |
},
|
623 |
{
|
624 |
"epoch": 0.21,
|
625 |
-
"learning_rate": 0.
|
626 |
-
"loss": 0.
|
627 |
"step": 103
|
628 |
},
|
629 |
{
|
630 |
"epoch": 0.21,
|
631 |
-
"learning_rate": 0.
|
632 |
-
"loss": 0.
|
633 |
"step": 104
|
634 |
},
|
635 |
{
|
636 |
"epoch": 0.21,
|
637 |
-
"learning_rate": 0.
|
638 |
-
"loss": 0.
|
639 |
"step": 105
|
640 |
},
|
641 |
{
|
642 |
"epoch": 0.22,
|
643 |
-
"learning_rate": 0.
|
644 |
-
"loss": 0.
|
645 |
"step": 106
|
646 |
},
|
647 |
{
|
648 |
"epoch": 0.22,
|
649 |
-
"learning_rate": 0.
|
650 |
-
"loss": 0.
|
651 |
"step": 107
|
652 |
},
|
653 |
{
|
654 |
"epoch": 0.22,
|
655 |
-
"learning_rate": 0.
|
656 |
-
"loss": 0.
|
657 |
"step": 108
|
658 |
},
|
659 |
{
|
660 |
"epoch": 0.22,
|
661 |
-
"learning_rate": 0.
|
662 |
-
"loss": 0.
|
663 |
"step": 109
|
664 |
},
|
665 |
{
|
666 |
"epoch": 0.22,
|
667 |
-
"learning_rate": 0.
|
668 |
-
"loss": 0.
|
669 |
"step": 110
|
670 |
},
|
671 |
{
|
672 |
"epoch": 0.23,
|
673 |
-
"learning_rate": 0.
|
674 |
-
"loss": 0.
|
675 |
"step": 111
|
676 |
},
|
677 |
{
|
678 |
"epoch": 0.23,
|
679 |
-
"learning_rate": 0.
|
680 |
-
"loss": 0.
|
681 |
"step": 112
|
682 |
},
|
683 |
{
|
684 |
"epoch": 0.23,
|
685 |
-
"learning_rate": 0.
|
686 |
-
"loss": 0.
|
687 |
"step": 113
|
688 |
},
|
689 |
{
|
690 |
"epoch": 0.23,
|
691 |
-
"learning_rate": 0.
|
692 |
-
"loss": 0.
|
693 |
"step": 114
|
694 |
},
|
695 |
{
|
696 |
"epoch": 0.23,
|
697 |
-
"learning_rate": 0.
|
698 |
-
"loss": 0.
|
699 |
"step": 115
|
700 |
},
|
701 |
{
|
702 |
"epoch": 0.24,
|
703 |
-
"learning_rate": 0.
|
704 |
-
"loss": 0.
|
705 |
"step": 116
|
706 |
},
|
707 |
{
|
708 |
"epoch": 0.24,
|
709 |
-
"learning_rate": 0.
|
710 |
-
"loss": 0.
|
711 |
"step": 117
|
712 |
},
|
713 |
{
|
714 |
"epoch": 0.24,
|
715 |
-
"learning_rate": 0.
|
716 |
-
"loss": 0.
|
717 |
"step": 118
|
718 |
},
|
719 |
{
|
720 |
"epoch": 0.24,
|
721 |
-
"learning_rate": 0.
|
722 |
-
"loss": 0.
|
723 |
"step": 119
|
724 |
},
|
725 |
{
|
726 |
"epoch": 0.24,
|
727 |
-
"learning_rate": 0.
|
728 |
-
"loss": 0.
|
729 |
"step": 120
|
730 |
},
|
731 |
{
|
732 |
"epoch": 0.25,
|
733 |
-
"learning_rate": 0.
|
734 |
-
"loss": 0.
|
735 |
"step": 121
|
736 |
},
|
737 |
{
|
738 |
"epoch": 0.25,
|
739 |
-
"learning_rate": 0.
|
740 |
-
"loss": 0.
|
741 |
"step": 122
|
742 |
},
|
743 |
{
|
744 |
"epoch": 0.25,
|
745 |
-
"learning_rate": 0.
|
746 |
-
"loss": 0.
|
747 |
"step": 123
|
748 |
},
|
749 |
{
|
750 |
"epoch": 0.25,
|
751 |
-
"learning_rate": 0.
|
752 |
-
"loss": 0.
|
753 |
"step": 124
|
754 |
},
|
755 |
{
|
756 |
"epoch": 0.25,
|
757 |
-
"learning_rate": 0.
|
758 |
-
"loss": 0.
|
759 |
"step": 125
|
760 |
},
|
761 |
{
|
762 |
"epoch": 0.26,
|
763 |
-
"learning_rate": 0.
|
764 |
-
"loss": 0.
|
765 |
"step": 126
|
766 |
},
|
767 |
{
|
768 |
"epoch": 0.26,
|
769 |
-
"learning_rate": 0.
|
770 |
-
"loss": 0.
|
771 |
"step": 127
|
772 |
},
|
773 |
{
|
774 |
"epoch": 0.26,
|
775 |
-
"learning_rate": 0.
|
776 |
-
"loss": 0.
|
777 |
"step": 128
|
778 |
},
|
779 |
{
|
780 |
"epoch": 0.26,
|
781 |
-
"learning_rate": 0.
|
782 |
-
"loss": 0.
|
783 |
"step": 129
|
784 |
},
|
785 |
{
|
786 |
"epoch": 0.26,
|
787 |
-
"learning_rate": 0.
|
788 |
-
"loss": 0.
|
789 |
"step": 130
|
790 |
},
|
791 |
{
|
792 |
"epoch": 0.27,
|
793 |
-
"learning_rate": 0.
|
794 |
-
"loss": 0.
|
795 |
"step": 131
|
796 |
},
|
797 |
{
|
798 |
"epoch": 0.27,
|
799 |
-
"learning_rate": 0.
|
800 |
-
"loss": 0.
|
801 |
"step": 132
|
802 |
},
|
803 |
{
|
804 |
"epoch": 0.27,
|
805 |
-
"learning_rate": 0.
|
806 |
-
"loss": 0.
|
807 |
"step": 133
|
808 |
},
|
809 |
{
|
810 |
"epoch": 0.27,
|
811 |
-
"learning_rate": 0.
|
812 |
-
"loss": 0.
|
813 |
"step": 134
|
814 |
},
|
815 |
{
|
816 |
"epoch": 0.27,
|
817 |
-
"learning_rate": 0.
|
818 |
-
"loss": 0.
|
819 |
"step": 135
|
820 |
},
|
821 |
{
|
822 |
"epoch": 0.28,
|
823 |
-
"learning_rate": 0.
|
824 |
-
"loss": 0.
|
825 |
"step": 136
|
826 |
},
|
827 |
{
|
828 |
"epoch": 0.28,
|
829 |
-
"learning_rate": 0.
|
830 |
-
"loss": 0.
|
831 |
"step": 137
|
832 |
},
|
833 |
{
|
834 |
"epoch": 0.28,
|
835 |
-
"learning_rate": 0.
|
836 |
-
"loss": 0.
|
837 |
"step": 138
|
838 |
},
|
839 |
{
|
840 |
"epoch": 0.28,
|
841 |
-
"learning_rate": 0.
|
842 |
-
"loss": 0.
|
843 |
"step": 139
|
844 |
},
|
845 |
{
|
846 |
"epoch": 0.28,
|
847 |
-
"learning_rate": 0.
|
848 |
-
"loss": 0.
|
849 |
"step": 140
|
850 |
},
|
851 |
{
|
852 |
"epoch": 0.29,
|
853 |
-
"learning_rate": 0.
|
854 |
-
"loss": 0.
|
855 |
"step": 141
|
856 |
},
|
857 |
{
|
858 |
"epoch": 0.29,
|
859 |
-
"learning_rate": 0.
|
860 |
-
"loss": 0.
|
861 |
"step": 142
|
862 |
},
|
863 |
{
|
864 |
"epoch": 0.29,
|
865 |
-
"learning_rate": 0.
|
866 |
-
"loss": 0.
|
867 |
"step": 143
|
868 |
},
|
869 |
{
|
870 |
"epoch": 0.29,
|
871 |
-
"learning_rate": 0.
|
872 |
-
"loss": 0.
|
873 |
"step": 144
|
874 |
},
|
875 |
{
|
876 |
"epoch": 0.29,
|
877 |
-
"learning_rate": 0.
|
878 |
-
"loss": 0.
|
879 |
"step": 145
|
880 |
},
|
881 |
{
|
882 |
"epoch": 0.3,
|
883 |
-
"learning_rate": 0.
|
884 |
-
"loss": 0.
|
885 |
"step": 146
|
886 |
},
|
887 |
{
|
888 |
"epoch": 0.3,
|
889 |
-
"learning_rate": 0.
|
890 |
-
"loss": 0.
|
891 |
"step": 147
|
892 |
},
|
893 |
{
|
894 |
"epoch": 0.3,
|
895 |
-
"learning_rate": 0.
|
896 |
-
"loss": 0.
|
897 |
"step": 148
|
898 |
},
|
899 |
{
|
900 |
"epoch": 0.3,
|
901 |
-
"learning_rate": 0.
|
902 |
-
"loss": 0.
|
903 |
"step": 149
|
904 |
},
|
905 |
{
|
906 |
"epoch": 0.3,
|
907 |
-
"learning_rate": 0.
|
908 |
-
"loss": 0.
|
909 |
"step": 150
|
910 |
},
|
911 |
{
|
912 |
"epoch": 0.31,
|
913 |
-
"learning_rate": 0.
|
914 |
-
"loss": 0.
|
915 |
"step": 151
|
916 |
},
|
917 |
{
|
918 |
"epoch": 0.31,
|
919 |
-
"learning_rate": 0.
|
920 |
-
"loss": 0.
|
921 |
"step": 152
|
922 |
},
|
923 |
{
|
924 |
"epoch": 0.31,
|
925 |
-
"learning_rate": 0.
|
926 |
-
"loss": 0.
|
927 |
"step": 153
|
928 |
},
|
929 |
{
|
930 |
"epoch": 0.31,
|
931 |
-
"learning_rate": 0.
|
932 |
-
"loss": 0.
|
933 |
"step": 154
|
934 |
},
|
935 |
{
|
936 |
"epoch": 0.31,
|
937 |
-
"learning_rate": 0.
|
938 |
-
"loss": 0.
|
939 |
"step": 155
|
940 |
},
|
941 |
{
|
942 |
"epoch": 0.32,
|
943 |
-
"learning_rate": 0.
|
944 |
-
"loss": 0.
|
945 |
"step": 156
|
946 |
},
|
947 |
{
|
948 |
"epoch": 0.32,
|
949 |
-
"learning_rate": 0.
|
950 |
-
"loss": 0.
|
951 |
"step": 157
|
952 |
},
|
953 |
{
|
954 |
"epoch": 0.32,
|
955 |
-
"learning_rate": 0.
|
956 |
-
"loss": 0.
|
957 |
"step": 158
|
958 |
},
|
959 |
{
|
960 |
"epoch": 0.32,
|
961 |
-
"learning_rate": 0.
|
962 |
-
"loss": 0.
|
963 |
"step": 159
|
964 |
},
|
965 |
{
|
966 |
"epoch": 0.32,
|
967 |
-
"learning_rate": 0.
|
968 |
-
"loss": 0.
|
969 |
"step": 160
|
970 |
},
|
971 |
{
|
972 |
"epoch": 0.33,
|
973 |
-
"learning_rate": 0.
|
974 |
-
"loss": 0.
|
975 |
"step": 161
|
976 |
},
|
977 |
{
|
978 |
"epoch": 0.33,
|
979 |
-
"learning_rate": 0.
|
980 |
-
"loss": 0.
|
981 |
"step": 162
|
982 |
},
|
983 |
{
|
984 |
"epoch": 0.33,
|
985 |
-
"learning_rate": 0.
|
986 |
-
"loss": 0.
|
987 |
"step": 163
|
988 |
},
|
989 |
{
|
990 |
"epoch": 0.33,
|
991 |
-
"learning_rate": 0.
|
992 |
-
"loss": 0.
|
993 |
"step": 164
|
994 |
},
|
995 |
{
|
996 |
"epoch": 0.33,
|
997 |
-
"learning_rate": 0.
|
998 |
-
"loss": 0.
|
999 |
"step": 165
|
1000 |
},
|
1001 |
{
|
1002 |
"epoch": 0.34,
|
1003 |
-
"learning_rate": 0.
|
1004 |
-
"loss": 0.
|
1005 |
"step": 166
|
1006 |
},
|
1007 |
{
|
1008 |
"epoch": 0.34,
|
1009 |
-
"learning_rate": 0.
|
1010 |
-
"loss": 0.
|
1011 |
"step": 167
|
1012 |
},
|
1013 |
{
|
1014 |
"epoch": 0.34,
|
1015 |
-
"learning_rate": 0.
|
1016 |
-
"loss": 0.
|
1017 |
"step": 168
|
1018 |
},
|
1019 |
{
|
1020 |
"epoch": 0.34,
|
1021 |
-
"learning_rate": 0.
|
1022 |
-
"loss": 0.
|
1023 |
"step": 169
|
1024 |
},
|
1025 |
{
|
1026 |
"epoch": 0.34,
|
1027 |
-
"learning_rate": 0.
|
1028 |
-
"loss": 0.
|
1029 |
"step": 170
|
1030 |
},
|
1031 |
{
|
1032 |
"epoch": 0.35,
|
1033 |
-
"learning_rate": 0.
|
1034 |
-
"loss": 0.
|
1035 |
"step": 171
|
1036 |
},
|
1037 |
{
|
1038 |
"epoch": 0.35,
|
1039 |
-
"learning_rate": 0.
|
1040 |
-
"loss": 0.
|
1041 |
"step": 172
|
1042 |
},
|
1043 |
{
|
1044 |
"epoch": 0.35,
|
1045 |
-
"learning_rate": 0.
|
1046 |
-
"loss": 0.
|
1047 |
"step": 173
|
1048 |
},
|
1049 |
{
|
1050 |
"epoch": 0.35,
|
1051 |
-
"learning_rate": 0.
|
1052 |
-
"loss": 0.
|
1053 |
"step": 174
|
1054 |
},
|
1055 |
{
|
1056 |
"epoch": 0.35,
|
1057 |
-
"learning_rate": 0.
|
1058 |
-
"loss": 0.
|
1059 |
"step": 175
|
1060 |
},
|
1061 |
{
|
1062 |
"epoch": 0.36,
|
1063 |
-
"learning_rate": 0.
|
1064 |
-
"loss": 0.
|
1065 |
"step": 176
|
1066 |
},
|
1067 |
{
|
1068 |
"epoch": 0.36,
|
1069 |
-
"learning_rate": 0.
|
1070 |
-
"loss": 0.
|
1071 |
"step": 177
|
1072 |
},
|
1073 |
{
|
1074 |
"epoch": 0.36,
|
1075 |
-
"learning_rate": 0.
|
1076 |
-
"loss": 0.
|
1077 |
"step": 178
|
1078 |
},
|
1079 |
{
|
1080 |
"epoch": 0.36,
|
1081 |
-
"learning_rate": 0.
|
1082 |
-
"loss": 0.
|
1083 |
"step": 179
|
1084 |
},
|
1085 |
{
|
1086 |
"epoch": 0.37,
|
1087 |
-
"learning_rate": 0.
|
1088 |
-
"loss": 0.
|
1089 |
"step": 180
|
1090 |
},
|
1091 |
{
|
1092 |
"epoch": 0.37,
|
1093 |
-
"learning_rate": 0.
|
1094 |
-
"loss": 0.
|
1095 |
"step": 181
|
1096 |
},
|
1097 |
{
|
1098 |
"epoch": 0.37,
|
1099 |
-
"learning_rate": 0.
|
1100 |
-
"loss": 0.
|
1101 |
"step": 182
|
1102 |
},
|
1103 |
{
|
1104 |
"epoch": 0.37,
|
1105 |
-
"learning_rate": 0.
|
1106 |
-
"loss": 0.
|
1107 |
"step": 183
|
1108 |
},
|
1109 |
{
|
1110 |
"epoch": 0.37,
|
1111 |
-
"learning_rate": 0.
|
1112 |
-
"loss": 0.
|
1113 |
"step": 184
|
1114 |
},
|
1115 |
{
|
1116 |
"epoch": 0.38,
|
1117 |
-
"learning_rate": 0.
|
1118 |
-
"loss": 0.
|
1119 |
"step": 185
|
1120 |
},
|
1121 |
{
|
1122 |
"epoch": 0.38,
|
1123 |
-
"learning_rate": 0.
|
1124 |
-
"loss": 0.
|
1125 |
"step": 186
|
1126 |
},
|
1127 |
{
|
1128 |
"epoch": 0.38,
|
1129 |
-
"learning_rate": 0.
|
1130 |
-
"loss": 0.
|
1131 |
"step": 187
|
1132 |
},
|
1133 |
{
|
1134 |
"epoch": 0.38,
|
1135 |
-
"learning_rate": 0.
|
1136 |
-
"loss": 0.
|
1137 |
"step": 188
|
1138 |
},
|
1139 |
{
|
1140 |
"epoch": 0.38,
|
1141 |
-
"learning_rate": 0.
|
1142 |
-
"loss": 0.
|
1143 |
"step": 189
|
1144 |
},
|
1145 |
{
|
1146 |
"epoch": 0.39,
|
1147 |
-
"learning_rate": 0.
|
1148 |
-
"loss": 0.
|
1149 |
"step": 190
|
1150 |
},
|
1151 |
{
|
1152 |
"epoch": 0.39,
|
1153 |
-
"learning_rate": 0.
|
1154 |
-
"loss": 0.
|
1155 |
"step": 191
|
1156 |
},
|
1157 |
{
|
1158 |
"epoch": 0.39,
|
1159 |
-
"learning_rate": 0.
|
1160 |
-
"loss": 0.
|
1161 |
"step": 192
|
1162 |
},
|
1163 |
{
|
1164 |
"epoch": 0.39,
|
1165 |
-
"learning_rate": 0.
|
1166 |
-
"loss": 0.
|
1167 |
"step": 193
|
1168 |
},
|
1169 |
{
|
1170 |
"epoch": 0.39,
|
1171 |
-
"learning_rate": 0.
|
1172 |
-
"loss": 0.
|
1173 |
"step": 194
|
1174 |
},
|
1175 |
{
|
1176 |
"epoch": 0.4,
|
1177 |
-
"learning_rate": 0.
|
1178 |
-
"loss": 0.
|
1179 |
"step": 195
|
1180 |
},
|
1181 |
{
|
1182 |
"epoch": 0.4,
|
1183 |
-
"learning_rate": 0.
|
1184 |
-
"loss": 0.
|
1185 |
"step": 196
|
1186 |
},
|
1187 |
{
|
1188 |
"epoch": 0.4,
|
1189 |
-
"learning_rate": 0.
|
1190 |
-
"loss": 0.
|
1191 |
"step": 197
|
1192 |
},
|
1193 |
{
|
1194 |
"epoch": 0.4,
|
1195 |
-
"learning_rate": 0.
|
1196 |
-
"loss": 0.
|
1197 |
"step": 198
|
1198 |
},
|
1199 |
{
|
1200 |
"epoch": 0.4,
|
1201 |
-
"learning_rate": 0.
|
1202 |
-
"loss": 0.
|
1203 |
"step": 199
|
1204 |
},
|
1205 |
{
|
1206 |
"epoch": 0.41,
|
1207 |
-
"learning_rate": 0.
|
1208 |
-
"loss": 0.
|
1209 |
"step": 200
|
1210 |
},
|
1211 |
{
|
1212 |
"epoch": 0.41,
|
1213 |
-
"learning_rate": 0.
|
1214 |
-
"loss": 0.
|
1215 |
"step": 201
|
1216 |
},
|
1217 |
{
|
1218 |
"epoch": 0.41,
|
1219 |
-
"learning_rate": 0.
|
1220 |
-
"loss": 0.
|
1221 |
"step": 202
|
1222 |
},
|
1223 |
{
|
1224 |
"epoch": 0.41,
|
1225 |
-
"learning_rate": 0.
|
1226 |
-
"loss": 0.
|
1227 |
"step": 203
|
1228 |
},
|
1229 |
{
|
1230 |
"epoch": 0.41,
|
1231 |
-
"learning_rate": 0.
|
1232 |
-
"loss": 0.
|
1233 |
"step": 204
|
1234 |
},
|
1235 |
{
|
1236 |
"epoch": 0.42,
|
1237 |
-
"learning_rate": 0.
|
1238 |
-
"loss": 0.
|
1239 |
"step": 205
|
1240 |
},
|
1241 |
{
|
1242 |
"epoch": 0.42,
|
1243 |
-
"learning_rate": 0.
|
1244 |
-
"loss": 0.
|
1245 |
"step": 206
|
1246 |
},
|
1247 |
{
|
1248 |
"epoch": 0.42,
|
1249 |
-
"learning_rate": 0.
|
1250 |
-
"loss": 0.
|
1251 |
"step": 207
|
1252 |
},
|
1253 |
{
|
1254 |
"epoch": 0.42,
|
1255 |
-
"learning_rate": 0.
|
1256 |
-
"loss": 0.
|
1257 |
"step": 208
|
1258 |
},
|
1259 |
{
|
1260 |
"epoch": 0.42,
|
1261 |
-
"learning_rate": 0.
|
1262 |
-
"loss": 0.
|
1263 |
"step": 209
|
1264 |
},
|
1265 |
{
|
1266 |
"epoch": 0.43,
|
1267 |
-
"learning_rate": 0.
|
1268 |
-
"loss": 0.
|
1269 |
"step": 210
|
1270 |
},
|
1271 |
{
|
1272 |
"epoch": 0.43,
|
1273 |
-
"learning_rate": 0.
|
1274 |
-
"loss": 0.
|
1275 |
"step": 211
|
1276 |
},
|
1277 |
{
|
1278 |
"epoch": 0.43,
|
1279 |
-
"learning_rate": 0.
|
1280 |
-
"loss": 0.
|
1281 |
"step": 212
|
1282 |
},
|
1283 |
{
|
1284 |
"epoch": 0.43,
|
1285 |
-
"learning_rate": 0.
|
1286 |
-
"loss": 0.
|
1287 |
"step": 213
|
1288 |
},
|
1289 |
{
|
1290 |
"epoch": 0.43,
|
1291 |
-
"learning_rate": 0.
|
1292 |
-
"loss": 0.
|
1293 |
"step": 214
|
1294 |
},
|
1295 |
{
|
1296 |
"epoch": 0.44,
|
1297 |
-
"learning_rate": 0.
|
1298 |
-
"loss": 0.
|
1299 |
"step": 215
|
1300 |
},
|
1301 |
{
|
1302 |
"epoch": 0.44,
|
1303 |
-
"learning_rate": 0.
|
1304 |
-
"loss": 0.
|
1305 |
"step": 216
|
1306 |
},
|
1307 |
{
|
1308 |
"epoch": 0.44,
|
1309 |
-
"learning_rate": 0.
|
1310 |
-
"loss": 0.
|
1311 |
"step": 217
|
1312 |
},
|
1313 |
{
|
1314 |
"epoch": 0.44,
|
1315 |
-
"learning_rate": 0.
|
1316 |
-
"loss": 0.
|
1317 |
"step": 218
|
1318 |
},
|
1319 |
{
|
1320 |
"epoch": 0.44,
|
1321 |
-
"learning_rate": 0.
|
1322 |
-
"loss": 0.
|
1323 |
"step": 219
|
1324 |
},
|
1325 |
{
|
1326 |
"epoch": 0.45,
|
1327 |
-
"learning_rate": 0.
|
1328 |
-
"loss": 0.
|
1329 |
"step": 220
|
1330 |
},
|
1331 |
{
|
1332 |
"epoch": 0.45,
|
1333 |
-
"learning_rate": 0.
|
1334 |
-
"loss": 0.
|
1335 |
"step": 221
|
1336 |
},
|
1337 |
{
|
1338 |
"epoch": 0.45,
|
1339 |
-
"learning_rate": 0.
|
1340 |
-
"loss": 0.
|
1341 |
"step": 222
|
1342 |
},
|
1343 |
{
|
1344 |
"epoch": 0.45,
|
1345 |
-
"learning_rate": 0.
|
1346 |
-
"loss": 0.
|
1347 |
"step": 223
|
1348 |
},
|
1349 |
{
|
1350 |
"epoch": 0.45,
|
1351 |
-
"learning_rate": 0.
|
1352 |
-
"loss": 0.
|
1353 |
"step": 224
|
1354 |
},
|
1355 |
{
|
1356 |
"epoch": 0.46,
|
1357 |
-
"learning_rate": 0.
|
1358 |
-
"loss": 0.
|
1359 |
"step": 225
|
1360 |
},
|
1361 |
{
|
1362 |
"epoch": 0.46,
|
1363 |
-
"learning_rate": 0.
|
1364 |
-
"loss": 0.
|
1365 |
"step": 226
|
1366 |
},
|
1367 |
{
|
1368 |
"epoch": 0.46,
|
1369 |
-
"learning_rate": 0.
|
1370 |
-
"loss": 0.
|
1371 |
"step": 227
|
1372 |
},
|
1373 |
{
|
1374 |
"epoch": 0.46,
|
1375 |
-
"learning_rate": 0.
|
1376 |
-
"loss": 0.
|
1377 |
"step": 228
|
1378 |
},
|
1379 |
{
|
1380 |
"epoch": 0.46,
|
1381 |
-
"learning_rate": 0.
|
1382 |
-
"loss": 0.
|
1383 |
"step": 229
|
1384 |
},
|
1385 |
{
|
1386 |
"epoch": 0.47,
|
1387 |
-
"learning_rate": 0.
|
1388 |
-
"loss": 0.
|
1389 |
"step": 230
|
1390 |
},
|
1391 |
{
|
1392 |
"epoch": 0.47,
|
1393 |
-
"learning_rate": 0.
|
1394 |
-
"loss": 0.
|
1395 |
"step": 231
|
1396 |
},
|
1397 |
{
|
1398 |
"epoch": 0.47,
|
1399 |
-
"learning_rate": 0.
|
1400 |
-
"loss": 0.
|
1401 |
"step": 232
|
1402 |
},
|
1403 |
{
|
1404 |
"epoch": 0.47,
|
1405 |
-
"learning_rate": 0.
|
1406 |
-
"loss": 0.
|
1407 |
"step": 233
|
1408 |
},
|
1409 |
{
|
1410 |
"epoch": 0.47,
|
1411 |
-
"learning_rate": 0.
|
1412 |
-
"loss": 0.
|
1413 |
"step": 234
|
1414 |
},
|
1415 |
{
|
1416 |
"epoch": 0.48,
|
1417 |
-
"learning_rate": 0.
|
1418 |
-
"loss": 0.
|
1419 |
"step": 235
|
1420 |
},
|
1421 |
{
|
1422 |
"epoch": 0.48,
|
1423 |
-
"learning_rate": 0.
|
1424 |
-
"loss": 0.
|
1425 |
"step": 236
|
1426 |
},
|
1427 |
{
|
1428 |
"epoch": 0.48,
|
1429 |
-
"learning_rate": 0.
|
1430 |
-
"loss": 0.
|
1431 |
"step": 237
|
1432 |
},
|
1433 |
{
|
1434 |
"epoch": 0.48,
|
1435 |
-
"learning_rate": 0.
|
1436 |
-
"loss": 0.
|
1437 |
"step": 238
|
1438 |
},
|
1439 |
{
|
1440 |
"epoch": 0.48,
|
1441 |
-
"learning_rate": 0.
|
1442 |
-
"loss": 0.
|
1443 |
"step": 239
|
1444 |
},
|
1445 |
{
|
1446 |
"epoch": 0.49,
|
1447 |
-
"learning_rate": 0.
|
1448 |
-
"loss": 0.
|
1449 |
"step": 240
|
1450 |
},
|
1451 |
{
|
1452 |
"epoch": 0.49,
|
1453 |
-
"learning_rate": 0.
|
1454 |
-
"loss": 0.
|
1455 |
"step": 241
|
1456 |
},
|
1457 |
{
|
1458 |
"epoch": 0.49,
|
1459 |
-
"learning_rate": 0.
|
1460 |
-
"loss": 0.
|
1461 |
"step": 242
|
1462 |
},
|
1463 |
{
|
1464 |
"epoch": 0.49,
|
1465 |
-
"learning_rate": 0.
|
1466 |
-
"loss": 0.
|
1467 |
"step": 243
|
1468 |
},
|
1469 |
{
|
1470 |
"epoch": 0.49,
|
1471 |
-
"learning_rate": 0.
|
1472 |
-
"loss": 0.
|
1473 |
"step": 244
|
1474 |
},
|
1475 |
{
|
1476 |
"epoch": 0.5,
|
1477 |
-
"learning_rate": 0.
|
1478 |
-
"loss": 0.
|
1479 |
"step": 245
|
1480 |
},
|
1481 |
{
|
1482 |
"epoch": 0.5,
|
1483 |
-
"learning_rate": 0.
|
1484 |
-
"loss": 0.
|
1485 |
"step": 246
|
1486 |
},
|
1487 |
{
|
1488 |
"epoch": 0.5,
|
1489 |
-
"learning_rate": 0.
|
1490 |
-
"loss": 0.
|
1491 |
"step": 247
|
1492 |
},
|
1493 |
{
|
1494 |
"epoch": 0.5,
|
1495 |
-
"learning_rate": 0.
|
1496 |
-
"loss": 0.
|
1497 |
"step": 248
|
1498 |
},
|
1499 |
{
|
1500 |
"epoch": 0.51,
|
1501 |
-
"learning_rate": 0.
|
1502 |
-
"loss": 0.
|
1503 |
"step": 249
|
1504 |
},
|
1505 |
{
|
1506 |
"epoch": 0.51,
|
1507 |
-
"learning_rate": 0.
|
1508 |
-
"loss": 0.
|
1509 |
"step": 250
|
1510 |
},
|
1511 |
{
|
1512 |
"epoch": 0.51,
|
1513 |
-
"learning_rate": 0.
|
1514 |
-
"loss": 0.
|
1515 |
"step": 251
|
1516 |
},
|
1517 |
{
|
1518 |
"epoch": 0.51,
|
1519 |
-
"learning_rate": 0.
|
1520 |
-
"loss": 0.
|
1521 |
"step": 252
|
1522 |
},
|
1523 |
{
|
1524 |
"epoch": 0.51,
|
1525 |
-
"learning_rate": 0.
|
1526 |
-
"loss": 0.
|
1527 |
"step": 253
|
1528 |
},
|
1529 |
{
|
1530 |
"epoch": 0.52,
|
1531 |
-
"learning_rate":
|
1532 |
-
"loss": 0.
|
1533 |
"step": 254
|
1534 |
},
|
1535 |
{
|
1536 |
"epoch": 0.52,
|
1537 |
-
"learning_rate":
|
1538 |
-
"loss": 0.
|
1539 |
"step": 255
|
1540 |
},
|
1541 |
{
|
1542 |
"epoch": 0.52,
|
1543 |
-
"learning_rate": 9.
|
1544 |
-
"loss": 0.
|
1545 |
"step": 256
|
1546 |
},
|
1547 |
{
|
1548 |
"epoch": 0.52,
|
1549 |
-
"learning_rate": 9.
|
1550 |
-
"loss": 0.
|
1551 |
"step": 257
|
1552 |
},
|
1553 |
{
|
1554 |
"epoch": 0.52,
|
1555 |
-
"learning_rate": 9.
|
1556 |
-
"loss": 0.
|
1557 |
"step": 258
|
1558 |
},
|
1559 |
{
|
1560 |
"epoch": 0.53,
|
1561 |
-
"learning_rate": 9.
|
1562 |
-
"loss": 0.
|
1563 |
"step": 259
|
1564 |
},
|
1565 |
{
|
1566 |
"epoch": 0.53,
|
1567 |
-
"learning_rate": 9.
|
1568 |
-
"loss": 0.
|
1569 |
"step": 260
|
1570 |
},
|
1571 |
{
|
1572 |
"epoch": 0.53,
|
1573 |
-
"learning_rate": 9.
|
1574 |
-
"loss": 0.
|
1575 |
"step": 261
|
1576 |
},
|
1577 |
{
|
1578 |
"epoch": 0.53,
|
1579 |
-
"learning_rate": 9.
|
1580 |
-
"loss": 0.
|
1581 |
"step": 262
|
1582 |
},
|
1583 |
{
|
1584 |
"epoch": 0.53,
|
1585 |
-
"learning_rate": 9.
|
1586 |
-
"loss": 0.
|
1587 |
"step": 263
|
1588 |
},
|
1589 |
{
|
1590 |
"epoch": 0.54,
|
1591 |
-
"learning_rate": 9.
|
1592 |
-
"loss": 0.
|
1593 |
"step": 264
|
1594 |
},
|
1595 |
{
|
1596 |
"epoch": 0.54,
|
1597 |
-
"learning_rate": 9.
|
1598 |
-
"loss": 0.
|
1599 |
"step": 265
|
1600 |
},
|
1601 |
{
|
1602 |
"epoch": 0.54,
|
1603 |
-
"learning_rate": 9.
|
1604 |
-
"loss": 0.
|
1605 |
"step": 266
|
1606 |
},
|
1607 |
{
|
1608 |
"epoch": 0.54,
|
1609 |
-
"learning_rate": 9.
|
1610 |
-
"loss": 0.
|
1611 |
"step": 267
|
1612 |
},
|
1613 |
{
|
1614 |
"epoch": 0.54,
|
1615 |
-
"learning_rate": 9.
|
1616 |
-
"loss": 0.
|
1617 |
"step": 268
|
1618 |
},
|
1619 |
{
|
1620 |
"epoch": 0.55,
|
1621 |
-
"learning_rate": 9.
|
1622 |
-
"loss": 0.
|
1623 |
"step": 269
|
1624 |
},
|
1625 |
{
|
1626 |
"epoch": 0.55,
|
1627 |
-
"learning_rate": 9.
|
1628 |
-
"loss": 0.
|
1629 |
"step": 270
|
1630 |
},
|
1631 |
{
|
1632 |
"epoch": 0.55,
|
1633 |
-
"learning_rate": 9.
|
1634 |
-
"loss": 0.
|
1635 |
"step": 271
|
1636 |
},
|
1637 |
{
|
1638 |
"epoch": 0.55,
|
1639 |
-
"learning_rate": 9.
|
1640 |
-
"loss": 0.
|
1641 |
"step": 272
|
1642 |
},
|
1643 |
{
|
1644 |
"epoch": 0.55,
|
1645 |
-
"learning_rate": 9.
|
1646 |
-
"loss": 0.
|
1647 |
"step": 273
|
1648 |
},
|
1649 |
{
|
1650 |
"epoch": 0.56,
|
1651 |
-
"learning_rate": 9.
|
1652 |
-
"loss": 0.
|
1653 |
"step": 274
|
1654 |
},
|
1655 |
{
|
1656 |
"epoch": 0.56,
|
1657 |
-
"learning_rate": 9.
|
1658 |
-
"loss": 0.
|
1659 |
"step": 275
|
1660 |
},
|
1661 |
{
|
1662 |
"epoch": 0.56,
|
1663 |
-
"learning_rate": 9.
|
1664 |
-
"loss": 0.
|
1665 |
"step": 276
|
1666 |
},
|
1667 |
{
|
1668 |
"epoch": 0.56,
|
1669 |
-
"learning_rate": 9.
|
1670 |
-
"loss": 0.
|
1671 |
"step": 277
|
1672 |
},
|
1673 |
{
|
1674 |
"epoch": 0.56,
|
1675 |
-
"learning_rate":
|
1676 |
-
"loss": 0.
|
1677 |
"step": 278
|
1678 |
},
|
1679 |
{
|
1680 |
"epoch": 0.57,
|
1681 |
-
"learning_rate":
|
1682 |
-
"loss": 0.
|
1683 |
"step": 279
|
1684 |
},
|
1685 |
{
|
1686 |
"epoch": 0.57,
|
1687 |
-
"learning_rate": 8.
|
1688 |
-
"loss": 0.
|
1689 |
"step": 280
|
1690 |
},
|
1691 |
{
|
1692 |
"epoch": 0.57,
|
1693 |
-
"learning_rate": 8.
|
1694 |
-
"loss": 0.
|
1695 |
"step": 281
|
1696 |
},
|
1697 |
{
|
1698 |
"epoch": 0.57,
|
1699 |
-
"learning_rate": 8.
|
1700 |
-
"loss": 0.
|
1701 |
"step": 282
|
1702 |
},
|
1703 |
{
|
1704 |
"epoch": 0.57,
|
1705 |
-
"learning_rate": 8.
|
1706 |
-
"loss": 0.
|
1707 |
"step": 283
|
1708 |
},
|
1709 |
{
|
1710 |
"epoch": 0.58,
|
1711 |
-
"learning_rate": 8.
|
1712 |
-
"loss": 0.
|
1713 |
"step": 284
|
1714 |
},
|
1715 |
{
|
1716 |
"epoch": 0.58,
|
1717 |
-
"learning_rate": 8.
|
1718 |
-
"loss": 0.
|
1719 |
"step": 285
|
1720 |
},
|
1721 |
{
|
1722 |
"epoch": 0.58,
|
1723 |
-
"learning_rate": 8.
|
1724 |
-
"loss": 0.
|
1725 |
"step": 286
|
1726 |
},
|
1727 |
{
|
1728 |
"epoch": 0.58,
|
1729 |
-
"learning_rate": 8.
|
1730 |
-
"loss": 0.
|
1731 |
"step": 287
|
1732 |
},
|
1733 |
{
|
1734 |
"epoch": 0.58,
|
1735 |
-
"learning_rate": 8.
|
1736 |
-
"loss": 0.
|
1737 |
"step": 288
|
1738 |
},
|
1739 |
{
|
1740 |
"epoch": 0.59,
|
1741 |
-
"learning_rate": 8.
|
1742 |
-
"loss": 0.
|
1743 |
"step": 289
|
1744 |
},
|
1745 |
{
|
1746 |
"epoch": 0.59,
|
1747 |
-
"learning_rate": 8.
|
1748 |
-
"loss": 0.
|
1749 |
"step": 290
|
1750 |
},
|
1751 |
{
|
1752 |
"epoch": 0.59,
|
1753 |
-
"learning_rate": 8.
|
1754 |
-
"loss": 0.
|
1755 |
"step": 291
|
1756 |
},
|
1757 |
{
|
1758 |
"epoch": 0.59,
|
1759 |
-
"learning_rate": 8.
|
1760 |
-
"loss": 0.
|
1761 |
"step": 292
|
1762 |
},
|
1763 |
{
|
1764 |
"epoch": 0.59,
|
1765 |
-
"learning_rate": 8.
|
1766 |
-
"loss": 0.
|
1767 |
"step": 293
|
1768 |
},
|
1769 |
{
|
1770 |
"epoch": 0.6,
|
1771 |
-
"learning_rate": 8.
|
1772 |
-
"loss": 0.
|
1773 |
"step": 294
|
1774 |
},
|
1775 |
{
|
1776 |
"epoch": 0.6,
|
1777 |
-
"learning_rate": 8.
|
1778 |
-
"loss": 0.
|
1779 |
"step": 295
|
1780 |
},
|
1781 |
{
|
1782 |
"epoch": 0.6,
|
1783 |
-
"learning_rate": 8.
|
1784 |
-
"loss": 0.
|
1785 |
"step": 296
|
1786 |
},
|
1787 |
{
|
1788 |
"epoch": 0.6,
|
1789 |
-
"learning_rate": 8.
|
1790 |
-
"loss": 0.
|
1791 |
"step": 297
|
1792 |
},
|
1793 |
{
|
1794 |
"epoch": 0.6,
|
1795 |
-
"learning_rate": 8.
|
1796 |
-
"loss": 0.
|
1797 |
"step": 298
|
1798 |
},
|
1799 |
{
|
1800 |
"epoch": 0.61,
|
1801 |
-
"learning_rate": 8.
|
1802 |
-
"loss": 0.
|
1803 |
"step": 299
|
1804 |
},
|
1805 |
{
|
1806 |
"epoch": 0.61,
|
1807 |
-
"learning_rate": 8.
|
1808 |
-
"loss": 0.
|
1809 |
"step": 300
|
1810 |
},
|
1811 |
{
|
1812 |
"epoch": 0.61,
|
1813 |
-
"learning_rate": 8.
|
1814 |
-
"loss": 0.
|
1815 |
"step": 301
|
1816 |
},
|
1817 |
{
|
1818 |
"epoch": 0.61,
|
1819 |
-
"learning_rate": 8.
|
1820 |
-
"loss": 0.
|
1821 |
"step": 302
|
1822 |
},
|
1823 |
{
|
1824 |
"epoch": 0.61,
|
1825 |
-
"learning_rate":
|
1826 |
-
"loss": 0.
|
1827 |
"step": 303
|
1828 |
},
|
1829 |
{
|
1830 |
"epoch": 0.62,
|
1831 |
-
"learning_rate":
|
1832 |
-
"loss": 0.
|
1833 |
"step": 304
|
1834 |
},
|
1835 |
{
|
1836 |
"epoch": 0.62,
|
1837 |
-
"learning_rate": 7.
|
1838 |
-
"loss": 0.
|
1839 |
"step": 305
|
1840 |
},
|
1841 |
{
|
1842 |
"epoch": 0.62,
|
1843 |
-
"learning_rate": 7.
|
1844 |
-
"loss": 0.
|
1845 |
"step": 306
|
1846 |
},
|
1847 |
{
|
1848 |
"epoch": 0.62,
|
1849 |
-
"learning_rate": 7.
|
1850 |
-
"loss": 0.
|
1851 |
"step": 307
|
1852 |
},
|
1853 |
{
|
1854 |
"epoch": 0.62,
|
1855 |
-
"learning_rate": 7.
|
1856 |
-
"loss": 0.
|
1857 |
"step": 308
|
1858 |
},
|
1859 |
{
|
1860 |
"epoch": 0.63,
|
1861 |
-
"learning_rate": 7.
|
1862 |
-
"loss": 0.
|
1863 |
"step": 309
|
1864 |
},
|
1865 |
{
|
1866 |
"epoch": 0.63,
|
1867 |
-
"learning_rate": 7.
|
1868 |
-
"loss": 0.
|
1869 |
"step": 310
|
1870 |
},
|
1871 |
{
|
1872 |
"epoch": 0.63,
|
1873 |
-
"learning_rate": 7.
|
1874 |
-
"loss": 0.
|
1875 |
"step": 311
|
1876 |
},
|
1877 |
{
|
1878 |
"epoch": 0.63,
|
1879 |
-
"learning_rate": 7.
|
1880 |
-
"loss": 0.
|
1881 |
"step": 312
|
1882 |
},
|
1883 |
{
|
1884 |
"epoch": 0.63,
|
1885 |
-
"learning_rate": 7.
|
1886 |
-
"loss": 0.
|
1887 |
"step": 313
|
1888 |
},
|
1889 |
{
|
1890 |
"epoch": 0.64,
|
1891 |
-
"learning_rate": 7.
|
1892 |
-
"loss": 0.
|
1893 |
"step": 314
|
1894 |
},
|
1895 |
{
|
1896 |
"epoch": 0.64,
|
1897 |
-
"learning_rate": 7.
|
1898 |
-
"loss": 0.
|
1899 |
"step": 315
|
1900 |
},
|
1901 |
{
|
1902 |
"epoch": 0.64,
|
1903 |
-
"learning_rate": 7.
|
1904 |
-
"loss": 0.
|
1905 |
"step": 316
|
1906 |
},
|
1907 |
{
|
1908 |
"epoch": 0.64,
|
1909 |
-
"learning_rate": 7.
|
1910 |
-
"loss": 0.
|
1911 |
"step": 317
|
1912 |
},
|
1913 |
{
|
1914 |
"epoch": 0.65,
|
1915 |
-
"learning_rate": 7.
|
1916 |
-
"loss": 0.
|
1917 |
"step": 318
|
1918 |
},
|
1919 |
{
|
1920 |
"epoch": 0.65,
|
1921 |
-
"learning_rate": 7.
|
1922 |
-
"loss": 0.
|
1923 |
"step": 319
|
1924 |
},
|
1925 |
{
|
1926 |
"epoch": 0.65,
|
1927 |
-
"learning_rate": 7.
|
1928 |
-
"loss": 0.
|
1929 |
"step": 320
|
1930 |
},
|
1931 |
{
|
1932 |
"epoch": 0.65,
|
1933 |
-
"learning_rate": 7.
|
1934 |
-
"loss": 0.
|
1935 |
"step": 321
|
1936 |
},
|
1937 |
{
|
1938 |
"epoch": 0.65,
|
1939 |
-
"learning_rate": 7.
|
1940 |
-
"loss": 0.
|
1941 |
"step": 322
|
1942 |
},
|
1943 |
{
|
1944 |
"epoch": 0.66,
|
1945 |
-
"learning_rate": 7.
|
1946 |
-
"loss": 0.
|
1947 |
"step": 323
|
1948 |
},
|
1949 |
{
|
1950 |
"epoch": 0.66,
|
1951 |
-
"learning_rate": 7.
|
1952 |
-
"loss": 0.
|
1953 |
"step": 324
|
1954 |
},
|
1955 |
{
|
1956 |
"epoch": 0.66,
|
1957 |
-
"learning_rate": 7.
|
1958 |
-
"loss": 0.
|
1959 |
"step": 325
|
1960 |
},
|
1961 |
{
|
1962 |
"epoch": 0.66,
|
1963 |
-
"learning_rate": 7.
|
1964 |
-
"loss": 0.
|
1965 |
"step": 326
|
1966 |
},
|
1967 |
{
|
1968 |
"epoch": 0.66,
|
1969 |
-
"learning_rate": 7.
|
1970 |
-
"loss": 0.
|
1971 |
"step": 327
|
1972 |
},
|
1973 |
{
|
1974 |
"epoch": 0.67,
|
1975 |
-
"learning_rate":
|
1976 |
-
"loss": 0.
|
1977 |
"step": 328
|
1978 |
},
|
1979 |
{
|
1980 |
"epoch": 0.67,
|
1981 |
-
"learning_rate":
|
1982 |
-
"loss": 0.
|
1983 |
"step": 329
|
1984 |
},
|
1985 |
{
|
1986 |
"epoch": 0.67,
|
1987 |
-
"learning_rate": 6.
|
1988 |
-
"loss": 0.
|
1989 |
"step": 330
|
1990 |
},
|
1991 |
{
|
1992 |
"epoch": 0.67,
|
1993 |
-
"learning_rate": 6.
|
1994 |
-
"loss": 0.
|
1995 |
"step": 331
|
1996 |
},
|
1997 |
{
|
1998 |
"epoch": 0.67,
|
1999 |
-
"learning_rate": 6.
|
2000 |
-
"loss": 0.
|
2001 |
"step": 332
|
2002 |
},
|
2003 |
{
|
2004 |
"epoch": 0.68,
|
2005 |
-
"learning_rate": 6.
|
2006 |
-
"loss": 0.
|
2007 |
"step": 333
|
2008 |
},
|
2009 |
{
|
2010 |
"epoch": 0.68,
|
2011 |
-
"learning_rate": 6.
|
2012 |
-
"loss": 0.
|
2013 |
"step": 334
|
2014 |
},
|
2015 |
{
|
2016 |
"epoch": 0.68,
|
2017 |
-
"learning_rate": 6.
|
2018 |
-
"loss": 0.
|
2019 |
"step": 335
|
2020 |
},
|
2021 |
{
|
2022 |
"epoch": 0.68,
|
2023 |
-
"learning_rate": 6.
|
2024 |
-
"loss": 0.
|
2025 |
"step": 336
|
2026 |
},
|
2027 |
{
|
2028 |
"epoch": 0.68,
|
2029 |
-
"learning_rate": 6.
|
2030 |
-
"loss": 0.
|
2031 |
"step": 337
|
2032 |
},
|
2033 |
{
|
2034 |
"epoch": 0.69,
|
2035 |
-
"learning_rate": 6.
|
2036 |
-
"loss": 0.
|
2037 |
"step": 338
|
2038 |
},
|
2039 |
{
|
2040 |
"epoch": 0.69,
|
2041 |
-
"learning_rate": 6.
|
2042 |
-
"loss": 0.
|
2043 |
"step": 339
|
2044 |
},
|
2045 |
{
|
2046 |
"epoch": 0.69,
|
2047 |
-
"learning_rate": 6.
|
2048 |
-
"loss": 0.
|
2049 |
"step": 340
|
2050 |
},
|
2051 |
{
|
2052 |
"epoch": 0.69,
|
2053 |
-
"learning_rate": 6.
|
2054 |
-
"loss": 0.
|
2055 |
"step": 341
|
2056 |
},
|
2057 |
{
|
2058 |
"epoch": 0.69,
|
2059 |
-
"learning_rate": 6.
|
2060 |
-
"loss": 0.
|
2061 |
"step": 342
|
2062 |
},
|
2063 |
{
|
2064 |
"epoch": 0.7,
|
2065 |
-
"learning_rate": 6.
|
2066 |
-
"loss": 0.
|
2067 |
"step": 343
|
2068 |
},
|
2069 |
{
|
2070 |
"epoch": 0.7,
|
2071 |
-
"learning_rate": 6.
|
2072 |
-
"loss": 0.
|
2073 |
"step": 344
|
2074 |
},
|
2075 |
{
|
2076 |
"epoch": 0.7,
|
2077 |
-
"learning_rate": 6.
|
2078 |
-
"loss": 0.
|
2079 |
"step": 345
|
2080 |
},
|
2081 |
{
|
2082 |
"epoch": 0.7,
|
2083 |
-
"learning_rate": 6.
|
2084 |
-
"loss": 0.
|
2085 |
"step": 346
|
2086 |
},
|
2087 |
{
|
2088 |
"epoch": 0.7,
|
2089 |
-
"learning_rate": 6.
|
2090 |
-
"loss": 0.
|
2091 |
"step": 347
|
2092 |
},
|
2093 |
{
|
2094 |
"epoch": 0.71,
|
2095 |
-
"learning_rate": 6.
|
2096 |
-
"loss": 0.
|
2097 |
"step": 348
|
2098 |
},
|
2099 |
{
|
2100 |
"epoch": 0.71,
|
2101 |
-
"learning_rate": 6.
|
2102 |
-
"loss": 0.
|
2103 |
"step": 349
|
2104 |
},
|
2105 |
{
|
2106 |
"epoch": 0.71,
|
2107 |
-
"learning_rate": 6.
|
2108 |
-
"loss": 0.
|
2109 |
"step": 350
|
2110 |
},
|
2111 |
{
|
2112 |
"epoch": 0.71,
|
2113 |
-
"learning_rate": 6.
|
2114 |
-
"loss": 0.
|
2115 |
"step": 351
|
2116 |
},
|
2117 |
{
|
2118 |
"epoch": 0.71,
|
2119 |
-
"learning_rate": 6.
|
2120 |
-
"loss": 0.
|
2121 |
"step": 352
|
2122 |
},
|
2123 |
{
|
2124 |
"epoch": 0.72,
|
2125 |
-
"learning_rate":
|
2126 |
-
"loss": 0.
|
2127 |
"step": 353
|
2128 |
},
|
2129 |
{
|
2130 |
"epoch": 0.72,
|
2131 |
-
"learning_rate":
|
2132 |
-
"loss": 0.
|
2133 |
"step": 354
|
2134 |
},
|
2135 |
{
|
2136 |
"epoch": 0.72,
|
2137 |
-
"learning_rate": 5.
|
2138 |
-
"loss": 0.
|
2139 |
"step": 355
|
2140 |
},
|
2141 |
{
|
2142 |
"epoch": 0.72,
|
2143 |
-
"learning_rate": 5.
|
2144 |
-
"loss": 0.
|
2145 |
"step": 356
|
2146 |
},
|
2147 |
{
|
2148 |
"epoch": 0.72,
|
2149 |
-
"learning_rate": 5.
|
2150 |
-
"loss": 0.
|
2151 |
"step": 357
|
2152 |
},
|
2153 |
{
|
2154 |
"epoch": 0.73,
|
2155 |
-
"learning_rate": 5.
|
2156 |
-
"loss": 0.
|
2157 |
"step": 358
|
2158 |
},
|
2159 |
{
|
2160 |
"epoch": 0.73,
|
2161 |
-
"learning_rate": 5.
|
2162 |
-
"loss": 0.
|
2163 |
"step": 359
|
2164 |
},
|
2165 |
{
|
2166 |
"epoch": 0.73,
|
2167 |
-
"learning_rate": 5.
|
2168 |
-
"loss": 0.
|
2169 |
"step": 360
|
2170 |
},
|
2171 |
{
|
2172 |
"epoch": 0.73,
|
2173 |
-
"learning_rate": 5.
|
2174 |
-
"loss": 0.
|
2175 |
"step": 361
|
2176 |
},
|
2177 |
{
|
2178 |
"epoch": 0.73,
|
2179 |
-
"learning_rate": 5.
|
2180 |
-
"loss": 0.
|
2181 |
"step": 362
|
2182 |
},
|
2183 |
{
|
2184 |
"epoch": 0.74,
|
2185 |
-
"learning_rate": 5.
|
2186 |
-
"loss": 0.
|
2187 |
"step": 363
|
2188 |
},
|
2189 |
{
|
2190 |
"epoch": 0.74,
|
2191 |
-
"learning_rate": 5.
|
2192 |
-
"loss": 0.
|
2193 |
"step": 364
|
2194 |
},
|
2195 |
{
|
2196 |
"epoch": 0.74,
|
2197 |
-
"learning_rate": 5.
|
2198 |
-
"loss": 0.
|
2199 |
"step": 365
|
2200 |
},
|
2201 |
{
|
2202 |
"epoch": 0.74,
|
2203 |
-
"learning_rate": 5.
|
2204 |
-
"loss": 0.
|
2205 |
"step": 366
|
2206 |
},
|
2207 |
{
|
2208 |
"epoch": 0.74,
|
2209 |
-
"learning_rate": 5.
|
2210 |
-
"loss": 0.
|
2211 |
"step": 367
|
2212 |
},
|
2213 |
{
|
2214 |
"epoch": 0.75,
|
2215 |
-
"learning_rate": 5.
|
2216 |
-
"loss": 0.
|
2217 |
"step": 368
|
2218 |
},
|
2219 |
{
|
2220 |
"epoch": 0.75,
|
2221 |
-
"learning_rate": 5.
|
2222 |
-
"loss": 0.
|
2223 |
"step": 369
|
2224 |
},
|
2225 |
{
|
2226 |
"epoch": 0.75,
|
2227 |
-
"learning_rate": 5.
|
2228 |
-
"loss": 0.
|
2229 |
"step": 370
|
2230 |
},
|
2231 |
{
|
2232 |
"epoch": 0.75,
|
2233 |
-
"learning_rate": 5.
|
2234 |
-
"loss": 0.
|
2235 |
"step": 371
|
2236 |
},
|
2237 |
{
|
2238 |
"epoch": 0.75,
|
2239 |
-
"learning_rate": 5.
|
2240 |
-
"loss": 0.
|
2241 |
"step": 372
|
2242 |
},
|
2243 |
{
|
2244 |
"epoch": 0.76,
|
2245 |
-
"learning_rate": 5.
|
2246 |
-
"loss": 0.
|
2247 |
"step": 373
|
2248 |
},
|
2249 |
{
|
2250 |
"epoch": 0.76,
|
2251 |
-
"learning_rate": 5.
|
2252 |
-
"loss": 0.
|
2253 |
"step": 374
|
2254 |
},
|
2255 |
{
|
2256 |
"epoch": 0.76,
|
2257 |
-
"learning_rate": 5.
|
2258 |
-
"loss": 0.
|
2259 |
"step": 375
|
2260 |
},
|
2261 |
{
|
2262 |
"epoch": 0.76,
|
2263 |
-
"learning_rate": 5.
|
2264 |
-
"loss": 0.
|
2265 |
"step": 376
|
2266 |
},
|
2267 |
{
|
2268 |
"epoch": 0.76,
|
2269 |
-
"learning_rate": 5.
|
2270 |
-
"loss": 0.
|
2271 |
"step": 377
|
2272 |
},
|
2273 |
{
|
2274 |
"epoch": 0.77,
|
2275 |
-
"learning_rate":
|
2276 |
-
"loss": 0.
|
2277 |
"step": 378
|
2278 |
},
|
2279 |
{
|
2280 |
"epoch": 0.77,
|
2281 |
-
"learning_rate":
|
2282 |
-
"loss": 0.
|
2283 |
"step": 379
|
2284 |
},
|
2285 |
{
|
2286 |
"epoch": 0.77,
|
2287 |
-
"learning_rate": 4.
|
2288 |
-
"loss": 0.
|
2289 |
"step": 380
|
2290 |
},
|
2291 |
{
|
2292 |
"epoch": 0.77,
|
2293 |
-
"learning_rate": 4.
|
2294 |
-
"loss": 0.
|
2295 |
"step": 381
|
2296 |
},
|
2297 |
{
|
2298 |
"epoch": 0.77,
|
2299 |
-
"learning_rate": 4.
|
2300 |
-
"loss": 0.
|
2301 |
"step": 382
|
2302 |
},
|
2303 |
{
|
2304 |
"epoch": 0.78,
|
2305 |
-
"learning_rate": 4.
|
2306 |
-
"loss": 0.
|
2307 |
"step": 383
|
2308 |
},
|
2309 |
{
|
2310 |
"epoch": 0.78,
|
2311 |
-
"learning_rate": 4.
|
2312 |
-
"loss": 0.
|
2313 |
"step": 384
|
2314 |
},
|
2315 |
{
|
2316 |
"epoch": 0.78,
|
2317 |
-
"learning_rate": 4.
|
2318 |
-
"loss": 0.
|
2319 |
"step": 385
|
2320 |
},
|
2321 |
{
|
2322 |
"epoch": 0.78,
|
2323 |
-
"learning_rate": 4.
|
2324 |
-
"loss": 0.
|
2325 |
"step": 386
|
2326 |
},
|
2327 |
{
|
2328 |
"epoch": 0.78,
|
2329 |
-
"learning_rate": 4.
|
2330 |
-
"loss": 0.
|
2331 |
"step": 387
|
2332 |
},
|
2333 |
{
|
2334 |
"epoch": 0.79,
|
2335 |
-
"learning_rate": 4.
|
2336 |
-
"loss": 0.
|
2337 |
"step": 388
|
2338 |
},
|
2339 |
{
|
2340 |
"epoch": 0.79,
|
2341 |
-
"learning_rate": 4.
|
2342 |
-
"loss": 0.
|
2343 |
"step": 389
|
2344 |
},
|
2345 |
{
|
2346 |
"epoch": 0.79,
|
2347 |
-
"learning_rate": 4.
|
2348 |
-
"loss": 0.
|
2349 |
"step": 390
|
2350 |
},
|
2351 |
{
|
2352 |
"epoch": 0.79,
|
2353 |
-
"learning_rate": 4.
|
2354 |
-
"loss": 0.
|
2355 |
"step": 391
|
2356 |
},
|
2357 |
{
|
2358 |
"epoch": 0.8,
|
2359 |
-
"learning_rate": 4.
|
2360 |
-
"loss": 0.
|
2361 |
"step": 392
|
2362 |
},
|
2363 |
{
|
2364 |
"epoch": 0.8,
|
2365 |
-
"learning_rate": 4.
|
2366 |
-
"loss": 0.
|
2367 |
"step": 393
|
2368 |
},
|
2369 |
{
|
2370 |
"epoch": 0.8,
|
2371 |
-
"learning_rate": 4.
|
2372 |
-
"loss": 0.
|
2373 |
"step": 394
|
2374 |
},
|
2375 |
{
|
2376 |
"epoch": 0.8,
|
2377 |
-
"learning_rate": 4.
|
2378 |
-
"loss": 0.
|
2379 |
"step": 395
|
2380 |
},
|
2381 |
{
|
2382 |
"epoch": 0.8,
|
2383 |
-
"learning_rate": 4.
|
2384 |
-
"loss": 0.
|
2385 |
"step": 396
|
2386 |
},
|
2387 |
{
|
2388 |
"epoch": 0.81,
|
2389 |
-
"learning_rate": 4.
|
2390 |
-
"loss": 0.
|
2391 |
"step": 397
|
2392 |
},
|
2393 |
{
|
2394 |
"epoch": 0.81,
|
2395 |
-
"learning_rate": 4.
|
2396 |
-
"loss": 0.
|
2397 |
"step": 398
|
2398 |
},
|
2399 |
{
|
2400 |
"epoch": 0.81,
|
2401 |
-
"learning_rate": 4.
|
2402 |
-
"loss": 0.
|
2403 |
"step": 399
|
2404 |
},
|
2405 |
{
|
2406 |
"epoch": 0.81,
|
2407 |
-
"learning_rate": 4.
|
2408 |
-
"loss": 0.
|
2409 |
"step": 400
|
2410 |
},
|
2411 |
{
|
2412 |
"epoch": 0.81,
|
2413 |
-
"learning_rate": 4.
|
2414 |
-
"loss": 0.
|
2415 |
"step": 401
|
2416 |
},
|
2417 |
{
|
2418 |
"epoch": 0.82,
|
2419 |
-
"learning_rate": 4.
|
2420 |
-
"loss": 0.
|
2421 |
"step": 402
|
2422 |
},
|
2423 |
{
|
2424 |
"epoch": 0.82,
|
2425 |
-
"learning_rate":
|
2426 |
-
"loss": 0.
|
2427 |
"step": 403
|
2428 |
},
|
2429 |
{
|
2430 |
"epoch": 0.82,
|
2431 |
-
"learning_rate":
|
2432 |
-
"loss": 0.
|
2433 |
"step": 404
|
2434 |
},
|
2435 |
{
|
2436 |
"epoch": 0.82,
|
2437 |
-
"learning_rate": 3.
|
2438 |
-
"loss": 0.
|
2439 |
"step": 405
|
2440 |
},
|
2441 |
{
|
2442 |
"epoch": 0.82,
|
2443 |
-
"learning_rate": 3.
|
2444 |
-
"loss": 0.
|
2445 |
"step": 406
|
2446 |
},
|
2447 |
{
|
2448 |
"epoch": 0.83,
|
2449 |
-
"learning_rate": 3.
|
2450 |
-
"loss": 0.
|
2451 |
"step": 407
|
2452 |
},
|
2453 |
{
|
2454 |
"epoch": 0.83,
|
2455 |
-
"learning_rate": 3.
|
2456 |
-
"loss": 0.
|
2457 |
"step": 408
|
2458 |
},
|
2459 |
{
|
2460 |
"epoch": 0.83,
|
2461 |
-
"learning_rate": 3.
|
2462 |
-
"loss": 0.
|
2463 |
"step": 409
|
2464 |
},
|
2465 |
{
|
2466 |
"epoch": 0.83,
|
2467 |
-
"learning_rate": 3.
|
2468 |
-
"loss": 0.
|
2469 |
"step": 410
|
2470 |
},
|
2471 |
{
|
2472 |
"epoch": 0.83,
|
2473 |
-
"learning_rate": 3.
|
2474 |
-
"loss": 0.
|
2475 |
"step": 411
|
2476 |
},
|
2477 |
{
|
2478 |
"epoch": 0.84,
|
2479 |
-
"learning_rate": 3.
|
2480 |
-
"loss": 0.
|
2481 |
"step": 412
|
2482 |
},
|
2483 |
{
|
2484 |
"epoch": 0.84,
|
2485 |
-
"learning_rate": 3.
|
2486 |
-
"loss": 0.
|
2487 |
"step": 413
|
2488 |
},
|
2489 |
{
|
2490 |
"epoch": 0.84,
|
2491 |
-
"learning_rate": 3.
|
2492 |
-
"loss": 0.
|
2493 |
"step": 414
|
2494 |
},
|
2495 |
{
|
2496 |
"epoch": 0.84,
|
2497 |
-
"learning_rate": 3.
|
2498 |
-
"loss": 0.
|
2499 |
"step": 415
|
2500 |
},
|
2501 |
{
|
2502 |
"epoch": 0.84,
|
2503 |
-
"learning_rate": 3.
|
2504 |
-
"loss": 0.
|
2505 |
"step": 416
|
2506 |
},
|
2507 |
{
|
2508 |
"epoch": 0.85,
|
2509 |
-
"learning_rate": 3.
|
2510 |
-
"loss": 0.
|
2511 |
"step": 417
|
2512 |
},
|
2513 |
{
|
2514 |
"epoch": 0.85,
|
2515 |
-
"learning_rate": 3.
|
2516 |
-
"loss": 0.
|
2517 |
"step": 418
|
2518 |
},
|
2519 |
{
|
2520 |
"epoch": 0.85,
|
2521 |
-
"learning_rate": 3.
|
2522 |
-
"loss": 0.
|
2523 |
"step": 419
|
2524 |
},
|
2525 |
{
|
2526 |
"epoch": 0.85,
|
2527 |
-
"learning_rate": 3.
|
2528 |
-
"loss": 0.
|
2529 |
"step": 420
|
2530 |
},
|
2531 |
{
|
2532 |
"epoch": 0.85,
|
2533 |
-
"learning_rate": 3.
|
2534 |
-
"loss": 0.
|
2535 |
"step": 421
|
2536 |
},
|
2537 |
{
|
2538 |
"epoch": 0.86,
|
2539 |
-
"learning_rate": 3.
|
2540 |
-
"loss": 0.
|
2541 |
"step": 422
|
2542 |
},
|
2543 |
{
|
2544 |
"epoch": 0.86,
|
2545 |
-
"learning_rate": 3.
|
2546 |
-
"loss": 0.
|
2547 |
"step": 423
|
2548 |
},
|
2549 |
{
|
2550 |
"epoch": 0.86,
|
2551 |
-
"learning_rate": 3.
|
2552 |
-
"loss": 0.
|
2553 |
"step": 424
|
2554 |
},
|
2555 |
{
|
2556 |
"epoch": 0.86,
|
2557 |
-
"learning_rate": 3.
|
2558 |
-
"loss": 0.
|
2559 |
"step": 425
|
2560 |
},
|
2561 |
{
|
2562 |
"epoch": 0.86,
|
2563 |
-
"learning_rate": 3.
|
2564 |
-
"loss": 0.
|
2565 |
"step": 426
|
2566 |
},
|
2567 |
{
|
2568 |
"epoch": 0.87,
|
2569 |
-
"learning_rate": 3.
|
2570 |
-
"loss": 0.
|
2571 |
"step": 427
|
2572 |
},
|
2573 |
{
|
2574 |
"epoch": 0.87,
|
2575 |
-
"learning_rate":
|
2576 |
-
"loss": 0.
|
2577 |
"step": 428
|
2578 |
},
|
2579 |
{
|
2580 |
"epoch": 0.87,
|
2581 |
-
"learning_rate":
|
2582 |
-
"loss": 0.
|
2583 |
"step": 429
|
2584 |
},
|
2585 |
{
|
2586 |
"epoch": 0.87,
|
2587 |
-
"learning_rate": 2.
|
2588 |
-
"loss": 0.
|
2589 |
"step": 430
|
2590 |
},
|
2591 |
{
|
2592 |
"epoch": 0.87,
|
2593 |
-
"learning_rate": 2.
|
2594 |
-
"loss": 0.
|
2595 |
"step": 431
|
2596 |
},
|
2597 |
{
|
2598 |
"epoch": 0.88,
|
2599 |
-
"learning_rate": 2.
|
2600 |
-
"loss": 0.
|
2601 |
"step": 432
|
2602 |
},
|
2603 |
{
|
2604 |
"epoch": 0.88,
|
2605 |
-
"learning_rate": 2.
|
2606 |
-
"loss": 0.
|
2607 |
"step": 433
|
2608 |
},
|
2609 |
{
|
2610 |
"epoch": 0.88,
|
2611 |
-
"learning_rate": 2.
|
2612 |
-
"loss": 0.
|
2613 |
"step": 434
|
2614 |
},
|
2615 |
{
|
2616 |
"epoch": 0.88,
|
2617 |
-
"learning_rate": 2.
|
2618 |
-
"loss": 0.
|
2619 |
"step": 435
|
2620 |
},
|
2621 |
{
|
2622 |
"epoch": 0.88,
|
2623 |
-
"learning_rate": 2.
|
2624 |
-
"loss": 0.
|
2625 |
"step": 436
|
2626 |
},
|
2627 |
{
|
2628 |
"epoch": 0.89,
|
2629 |
-
"learning_rate": 2.
|
2630 |
-
"loss": 0.
|
2631 |
"step": 437
|
2632 |
},
|
2633 |
{
|
2634 |
"epoch": 0.89,
|
2635 |
-
"learning_rate": 2.
|
2636 |
-
"loss": 0.
|
2637 |
"step": 438
|
2638 |
},
|
2639 |
{
|
2640 |
"epoch": 0.89,
|
2641 |
-
"learning_rate": 2.
|
2642 |
-
"loss": 0.
|
2643 |
"step": 439
|
2644 |
},
|
2645 |
{
|
2646 |
"epoch": 0.89,
|
2647 |
-
"learning_rate": 2.
|
2648 |
-
"loss": 0.
|
2649 |
"step": 440
|
2650 |
},
|
2651 |
{
|
2652 |
"epoch": 0.89,
|
2653 |
-
"learning_rate": 2.
|
2654 |
-
"loss": 0.
|
2655 |
"step": 441
|
2656 |
},
|
2657 |
{
|
2658 |
"epoch": 0.9,
|
2659 |
-
"learning_rate": 2.
|
2660 |
-
"loss": 0.
|
2661 |
"step": 442
|
2662 |
},
|
2663 |
{
|
2664 |
"epoch": 0.9,
|
2665 |
-
"learning_rate": 2.
|
2666 |
-
"loss": 0.
|
2667 |
"step": 443
|
2668 |
},
|
2669 |
{
|
2670 |
"epoch": 0.9,
|
2671 |
-
"learning_rate": 2.
|
2672 |
-
"loss": 0.
|
2673 |
"step": 444
|
2674 |
},
|
2675 |
{
|
2676 |
"epoch": 0.9,
|
2677 |
-
"learning_rate": 2.
|
2678 |
-
"loss": 0.
|
2679 |
"step": 445
|
2680 |
},
|
2681 |
{
|
2682 |
"epoch": 0.9,
|
2683 |
-
"learning_rate": 2.
|
2684 |
-
"loss": 0.
|
2685 |
"step": 446
|
2686 |
},
|
2687 |
{
|
2688 |
"epoch": 0.91,
|
2689 |
-
"learning_rate": 2.
|
2690 |
-
"loss": 0.
|
2691 |
"step": 447
|
2692 |
},
|
2693 |
{
|
2694 |
"epoch": 0.91,
|
2695 |
-
"learning_rate": 2.
|
2696 |
-
"loss": 0.
|
2697 |
"step": 448
|
2698 |
},
|
2699 |
{
|
2700 |
"epoch": 0.91,
|
2701 |
-
"learning_rate": 2.
|
2702 |
-
"loss": 0.
|
2703 |
"step": 449
|
2704 |
},
|
2705 |
{
|
2706 |
"epoch": 0.91,
|
2707 |
-
"learning_rate": 2.
|
2708 |
-
"loss": 0.
|
2709 |
"step": 450
|
2710 |
},
|
2711 |
{
|
2712 |
"epoch": 0.91,
|
2713 |
-
"learning_rate": 2.
|
2714 |
-
"loss": 0.
|
2715 |
"step": 451
|
2716 |
},
|
2717 |
{
|
2718 |
"epoch": 0.92,
|
2719 |
-
"learning_rate": 2.
|
2720 |
-
"loss": 0.
|
2721 |
"step": 452
|
2722 |
},
|
2723 |
{
|
2724 |
"epoch": 0.92,
|
2725 |
-
"learning_rate":
|
2726 |
-
"loss": 0.
|
2727 |
"step": 453
|
2728 |
},
|
2729 |
{
|
2730 |
"epoch": 0.92,
|
2731 |
-
"learning_rate":
|
2732 |
-
"loss": 0.
|
2733 |
"step": 454
|
2734 |
},
|
2735 |
{
|
2736 |
"epoch": 0.92,
|
2737 |
-
"learning_rate": 1.
|
2738 |
-
"loss": 0.
|
2739 |
"step": 455
|
2740 |
},
|
2741 |
{
|
2742 |
"epoch": 0.92,
|
2743 |
-
"learning_rate": 1.
|
2744 |
-
"loss": 0.
|
2745 |
"step": 456
|
2746 |
},
|
2747 |
{
|
2748 |
"epoch": 0.93,
|
2749 |
-
"learning_rate": 1.
|
2750 |
-
"loss": 0.
|
2751 |
"step": 457
|
2752 |
},
|
2753 |
{
|
2754 |
"epoch": 0.93,
|
2755 |
-
"learning_rate": 1.
|
2756 |
-
"loss": 0.
|
2757 |
"step": 458
|
2758 |
},
|
2759 |
{
|
2760 |
"epoch": 0.93,
|
2761 |
-
"learning_rate": 1.
|
2762 |
-
"loss": 0.
|
2763 |
"step": 459
|
2764 |
},
|
2765 |
{
|
2766 |
"epoch": 0.93,
|
2767 |
-
"learning_rate": 1.
|
2768 |
-
"loss": 0.
|
2769 |
"step": 460
|
2770 |
},
|
2771 |
{
|
2772 |
"epoch": 0.94,
|
2773 |
-
"learning_rate": 1.
|
2774 |
-
"loss": 0.
|
2775 |
"step": 461
|
2776 |
},
|
2777 |
{
|
2778 |
"epoch": 0.94,
|
2779 |
-
"learning_rate": 1.
|
2780 |
-
"loss": 0.
|
2781 |
"step": 462
|
2782 |
},
|
2783 |
{
|
2784 |
"epoch": 0.94,
|
2785 |
-
"learning_rate": 1.
|
2786 |
-
"loss": 0.
|
2787 |
"step": 463
|
2788 |
},
|
2789 |
{
|
2790 |
"epoch": 0.94,
|
2791 |
-
"learning_rate": 1.
|
2792 |
-
"loss": 0.
|
2793 |
"step": 464
|
2794 |
},
|
2795 |
{
|
2796 |
"epoch": 0.94,
|
2797 |
-
"learning_rate": 1.
|
2798 |
-
"loss": 0.
|
2799 |
"step": 465
|
2800 |
},
|
2801 |
{
|
2802 |
"epoch": 0.95,
|
2803 |
-
"learning_rate": 1.
|
2804 |
-
"loss": 0.
|
2805 |
"step": 466
|
2806 |
},
|
2807 |
{
|
2808 |
"epoch": 0.95,
|
2809 |
-
"learning_rate": 1.
|
2810 |
-
"loss": 0.
|
2811 |
"step": 467
|
2812 |
},
|
2813 |
{
|
2814 |
"epoch": 0.95,
|
2815 |
-
"learning_rate": 1.
|
2816 |
-
"loss": 0.
|
2817 |
"step": 468
|
2818 |
},
|
2819 |
{
|
2820 |
"epoch": 0.95,
|
2821 |
-
"learning_rate": 1.
|
2822 |
-
"loss": 0.
|
2823 |
"step": 469
|
2824 |
},
|
2825 |
{
|
2826 |
"epoch": 0.95,
|
2827 |
-
"learning_rate": 1.
|
2828 |
-
"loss": 0.
|
2829 |
"step": 470
|
2830 |
},
|
2831 |
{
|
2832 |
"epoch": 0.96,
|
2833 |
-
"learning_rate": 1.
|
2834 |
-
"loss": 0.
|
2835 |
"step": 471
|
2836 |
},
|
2837 |
{
|
2838 |
"epoch": 0.96,
|
2839 |
-
"learning_rate": 1.
|
2840 |
-
"loss": 0.
|
2841 |
"step": 472
|
2842 |
},
|
2843 |
{
|
2844 |
"epoch": 0.96,
|
2845 |
-
"learning_rate": 1.
|
2846 |
-
"loss": 0.
|
2847 |
"step": 473
|
2848 |
},
|
2849 |
{
|
2850 |
"epoch": 0.96,
|
2851 |
-
"learning_rate": 1.
|
2852 |
-
"loss": 0.
|
2853 |
"step": 474
|
2854 |
},
|
2855 |
{
|
2856 |
"epoch": 0.96,
|
2857 |
-
"learning_rate": 1.
|
2858 |
-
"loss": 0.
|
2859 |
"step": 475
|
2860 |
},
|
2861 |
{
|
2862 |
"epoch": 0.97,
|
2863 |
-
"learning_rate": 1.
|
2864 |
-
"loss": 0.
|
2865 |
"step": 476
|
2866 |
},
|
2867 |
{
|
2868 |
"epoch": 0.97,
|
2869 |
-
"learning_rate": 1.
|
2870 |
-
"loss": 0.
|
2871 |
"step": 477
|
2872 |
},
|
2873 |
{
|
2874 |
"epoch": 0.97,
|
2875 |
-
"learning_rate":
|
2876 |
-
"loss": 0.
|
2877 |
"step": 478
|
2878 |
},
|
2879 |
{
|
2880 |
"epoch": 0.97,
|
2881 |
-
"learning_rate":
|
2882 |
-
"loss": 0.
|
2883 |
"step": 479
|
2884 |
},
|
2885 |
{
|
2886 |
"epoch": 0.97,
|
2887 |
-
"learning_rate":
|
2888 |
-
"loss": 0.
|
2889 |
"step": 480
|
2890 |
},
|
2891 |
{
|
2892 |
"epoch": 0.98,
|
2893 |
-
"learning_rate":
|
2894 |
-
"loss": 0.
|
2895 |
"step": 481
|
2896 |
},
|
2897 |
{
|
2898 |
"epoch": 0.98,
|
2899 |
-
"learning_rate": 8.
|
2900 |
-
"loss": 0.
|
2901 |
"step": 482
|
2902 |
},
|
2903 |
{
|
2904 |
"epoch": 0.98,
|
2905 |
-
"learning_rate":
|
2906 |
-
"loss": 0.
|
2907 |
"step": 483
|
2908 |
},
|
2909 |
{
|
2910 |
"epoch": 0.98,
|
2911 |
-
"learning_rate":
|
2912 |
-
"loss": 0.
|
2913 |
"step": 484
|
2914 |
},
|
2915 |
{
|
2916 |
"epoch": 0.98,
|
2917 |
-
"learning_rate":
|
2918 |
-
"loss": 0.
|
2919 |
"step": 485
|
2920 |
},
|
2921 |
{
|
2922 |
"epoch": 0.99,
|
2923 |
-
"learning_rate":
|
2924 |
-
"loss": 0.
|
2925 |
"step": 486
|
2926 |
},
|
2927 |
{
|
2928 |
"epoch": 0.99,
|
2929 |
-
"learning_rate": 6.
|
2930 |
-
"loss": 0.
|
2931 |
"step": 487
|
2932 |
},
|
2933 |
{
|
2934 |
"epoch": 0.99,
|
2935 |
-
"learning_rate":
|
2936 |
-
"loss": 0.
|
2937 |
"step": 488
|
2938 |
},
|
2939 |
{
|
2940 |
"epoch": 0.99,
|
2941 |
-
"learning_rate":
|
2942 |
-
"loss": 0.
|
2943 |
"step": 489
|
2944 |
},
|
2945 |
{
|
2946 |
"epoch": 0.99,
|
2947 |
-
"learning_rate":
|
2948 |
-
"loss": 0.
|
2949 |
"step": 490
|
2950 |
},
|
2951 |
{
|
2952 |
"epoch": 1.0,
|
2953 |
-
"learning_rate":
|
2954 |
-
"loss": 0.
|
2955 |
"step": 491
|
2956 |
},
|
2957 |
{
|
2958 |
"epoch": 1.0,
|
2959 |
-
"learning_rate": 4.
|
2960 |
-
"loss": 0.
|
2961 |
"step": 492
|
2962 |
},
|
2963 |
{
|
2964 |
"epoch": 1.0,
|
2965 |
-
"learning_rate":
|
2966 |
-
"loss": 0.
|
2967 |
"step": 493
|
2968 |
}
|
2969 |
],
|
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.0,
|
13 |
+
"learning_rate": 0.0,
|
14 |
+
"loss": 2.0613,
|
15 |
"step": 1
|
16 |
},
|
17 |
{
|
18 |
"epoch": 0.0,
|
19 |
"learning_rate": 0.0001,
|
20 |
+
"loss": 2.0156,
|
21 |
"step": 2
|
22 |
},
|
23 |
{
|
24 |
"epoch": 0.01,
|
25 |
"learning_rate": 0.0002,
|
26 |
+
"loss": 1.8851,
|
27 |
"step": 3
|
28 |
},
|
29 |
{
|
30 |
"epoch": 0.01,
|
31 |
"learning_rate": 0.0001995983935742972,
|
32 |
+
"loss": 1.7813,
|
33 |
"step": 4
|
34 |
},
|
35 |
{
|
36 |
"epoch": 0.01,
|
37 |
"learning_rate": 0.0001991967871485944,
|
38 |
+
"loss": 1.5375,
|
39 |
"step": 5
|
40 |
},
|
41 |
{
|
42 |
"epoch": 0.01,
|
43 |
+
"learning_rate": 0.00019879518072289158,
|
44 |
+
"loss": 1.3064,
|
45 |
"step": 6
|
46 |
},
|
47 |
{
|
48 |
"epoch": 0.01,
|
49 |
+
"learning_rate": 0.00019839357429718877,
|
50 |
+
"loss": 1.143,
|
51 |
"step": 7
|
52 |
},
|
53 |
{
|
54 |
"epoch": 0.02,
|
55 |
+
"learning_rate": 0.00019799196787148596,
|
56 |
+
"loss": 0.9751,
|
57 |
"step": 8
|
58 |
},
|
59 |
{
|
60 |
"epoch": 0.02,
|
61 |
+
"learning_rate": 0.00019759036144578314,
|
62 |
+
"loss": 0.9015,
|
63 |
"step": 9
|
64 |
},
|
65 |
{
|
66 |
"epoch": 0.02,
|
67 |
+
"learning_rate": 0.00019718875502008033,
|
68 |
+
"loss": 0.8413,
|
69 |
"step": 10
|
70 |
},
|
71 |
{
|
72 |
"epoch": 0.02,
|
73 |
+
"learning_rate": 0.00019678714859437752,
|
74 |
+
"loss": 0.7695,
|
75 |
"step": 11
|
76 |
},
|
77 |
{
|
78 |
"epoch": 0.02,
|
79 |
+
"learning_rate": 0.0001963855421686747,
|
80 |
+
"loss": 0.7559,
|
81 |
"step": 12
|
82 |
},
|
83 |
{
|
84 |
"epoch": 0.03,
|
85 |
+
"learning_rate": 0.0001959839357429719,
|
86 |
+
"loss": 0.7035,
|
87 |
"step": 13
|
88 |
},
|
89 |
{
|
90 |
"epoch": 0.03,
|
91 |
+
"learning_rate": 0.00019558232931726906,
|
92 |
+
"loss": 0.8613,
|
93 |
"step": 14
|
94 |
},
|
95 |
{
|
96 |
"epoch": 0.03,
|
97 |
+
"learning_rate": 0.00019518072289156628,
|
98 |
+
"loss": 0.5807,
|
99 |
"step": 15
|
100 |
},
|
101 |
{
|
102 |
"epoch": 0.03,
|
103 |
+
"learning_rate": 0.00019477911646586347,
|
104 |
+
"loss": 0.6502,
|
105 |
"step": 16
|
106 |
},
|
107 |
{
|
108 |
"epoch": 0.03,
|
109 |
+
"learning_rate": 0.00019437751004016066,
|
110 |
+
"loss": 0.6727,
|
111 |
"step": 17
|
112 |
},
|
113 |
{
|
114 |
"epoch": 0.04,
|
115 |
+
"learning_rate": 0.00019397590361445782,
|
116 |
+
"loss": 0.6364,
|
117 |
"step": 18
|
118 |
},
|
119 |
{
|
120 |
"epoch": 0.04,
|
121 |
+
"learning_rate": 0.00019357429718875504,
|
122 |
+
"loss": 0.5241,
|
123 |
"step": 19
|
124 |
},
|
125 |
{
|
126 |
"epoch": 0.04,
|
127 |
+
"learning_rate": 0.00019317269076305223,
|
128 |
+
"loss": 0.6633,
|
129 |
"step": 20
|
130 |
},
|
131 |
{
|
132 |
"epoch": 0.04,
|
133 |
+
"learning_rate": 0.00019277108433734942,
|
134 |
+
"loss": 0.4925,
|
135 |
"step": 21
|
136 |
},
|
137 |
{
|
138 |
"epoch": 0.04,
|
139 |
+
"learning_rate": 0.00019236947791164658,
|
140 |
+
"loss": 0.6516,
|
141 |
"step": 22
|
142 |
},
|
143 |
{
|
144 |
"epoch": 0.05,
|
145 |
+
"learning_rate": 0.00019196787148594377,
|
146 |
+
"loss": 0.6102,
|
147 |
"step": 23
|
148 |
},
|
149 |
{
|
150 |
"epoch": 0.05,
|
151 |
+
"learning_rate": 0.00019156626506024098,
|
152 |
+
"loss": 0.7041,
|
153 |
"step": 24
|
154 |
},
|
155 |
{
|
156 |
"epoch": 0.05,
|
157 |
+
"learning_rate": 0.00019116465863453817,
|
158 |
+
"loss": 0.7139,
|
159 |
"step": 25
|
160 |
},
|
161 |
{
|
162 |
"epoch": 0.05,
|
163 |
+
"learning_rate": 0.00019076305220883533,
|
164 |
+
"loss": 0.6343,
|
165 |
"step": 26
|
166 |
},
|
167 |
{
|
168 |
"epoch": 0.05,
|
169 |
+
"learning_rate": 0.00019036144578313252,
|
170 |
+
"loss": 0.623,
|
171 |
"step": 27
|
172 |
},
|
173 |
{
|
174 |
"epoch": 0.06,
|
175 |
+
"learning_rate": 0.00018995983935742974,
|
176 |
+
"loss": 0.4868,
|
177 |
"step": 28
|
178 |
},
|
179 |
{
|
180 |
"epoch": 0.06,
|
181 |
+
"learning_rate": 0.00018955823293172693,
|
182 |
+
"loss": 0.6889,
|
183 |
"step": 29
|
184 |
},
|
185 |
{
|
186 |
"epoch": 0.06,
|
187 |
+
"learning_rate": 0.0001891566265060241,
|
188 |
+
"loss": 0.5797,
|
189 |
"step": 30
|
190 |
},
|
191 |
{
|
192 |
"epoch": 0.06,
|
193 |
+
"learning_rate": 0.00018875502008032128,
|
194 |
+
"loss": 0.732,
|
195 |
"step": 31
|
196 |
},
|
197 |
{
|
198 |
"epoch": 0.06,
|
199 |
+
"learning_rate": 0.0001883534136546185,
|
200 |
+
"loss": 0.6025,
|
201 |
"step": 32
|
202 |
},
|
203 |
{
|
204 |
"epoch": 0.07,
|
205 |
+
"learning_rate": 0.00018795180722891569,
|
206 |
+
"loss": 0.6949,
|
207 |
"step": 33
|
208 |
},
|
209 |
{
|
210 |
"epoch": 0.07,
|
211 |
+
"learning_rate": 0.00018755020080321285,
|
212 |
+
"loss": 0.7054,
|
213 |
"step": 34
|
214 |
},
|
215 |
{
|
216 |
"epoch": 0.07,
|
217 |
+
"learning_rate": 0.00018714859437751004,
|
218 |
+
"loss": 0.6639,
|
219 |
"step": 35
|
220 |
},
|
221 |
{
|
222 |
"epoch": 0.07,
|
223 |
+
"learning_rate": 0.00018674698795180723,
|
224 |
+
"loss": 0.5592,
|
225 |
"step": 36
|
226 |
},
|
227 |
{
|
228 |
"epoch": 0.08,
|
229 |
+
"learning_rate": 0.00018634538152610444,
|
230 |
+
"loss": 0.7139,
|
231 |
"step": 37
|
232 |
},
|
233 |
{
|
234 |
"epoch": 0.08,
|
235 |
+
"learning_rate": 0.0001859437751004016,
|
236 |
+
"loss": 0.6933,
|
237 |
"step": 38
|
238 |
},
|
239 |
{
|
240 |
"epoch": 0.08,
|
241 |
+
"learning_rate": 0.0001855421686746988,
|
242 |
+
"loss": 0.6588,
|
243 |
"step": 39
|
244 |
},
|
245 |
{
|
246 |
"epoch": 0.08,
|
247 |
+
"learning_rate": 0.00018514056224899598,
|
248 |
+
"loss": 0.6297,
|
249 |
"step": 40
|
250 |
},
|
251 |
{
|
252 |
"epoch": 0.08,
|
253 |
+
"learning_rate": 0.0001847389558232932,
|
254 |
+
"loss": 0.7057,
|
255 |
"step": 41
|
256 |
},
|
257 |
{
|
258 |
"epoch": 0.09,
|
259 |
+
"learning_rate": 0.00018433734939759036,
|
260 |
+
"loss": 0.7226,
|
261 |
"step": 42
|
262 |
},
|
263 |
{
|
264 |
"epoch": 0.09,
|
265 |
+
"learning_rate": 0.00018393574297188755,
|
266 |
+
"loss": 0.5385,
|
267 |
"step": 43
|
268 |
},
|
269 |
{
|
270 |
"epoch": 0.09,
|
271 |
+
"learning_rate": 0.00018353413654618474,
|
272 |
+
"loss": 0.5898,
|
273 |
"step": 44
|
274 |
},
|
275 |
{
|
276 |
"epoch": 0.09,
|
277 |
+
"learning_rate": 0.00018313253012048193,
|
278 |
+
"loss": 0.5986,
|
279 |
"step": 45
|
280 |
},
|
281 |
{
|
282 |
"epoch": 0.09,
|
283 |
+
"learning_rate": 0.00018273092369477912,
|
284 |
+
"loss": 0.5737,
|
285 |
"step": 46
|
286 |
},
|
287 |
{
|
288 |
"epoch": 0.1,
|
289 |
+
"learning_rate": 0.0001823293172690763,
|
290 |
+
"loss": 0.6359,
|
291 |
"step": 47
|
292 |
},
|
293 |
{
|
294 |
"epoch": 0.1,
|
295 |
+
"learning_rate": 0.0001819277108433735,
|
296 |
+
"loss": 0.6719,
|
297 |
"step": 48
|
298 |
},
|
299 |
{
|
300 |
"epoch": 0.1,
|
301 |
+
"learning_rate": 0.0001815261044176707,
|
302 |
+
"loss": 0.5734,
|
303 |
"step": 49
|
304 |
},
|
305 |
{
|
306 |
"epoch": 0.1,
|
307 |
+
"learning_rate": 0.0001811244979919679,
|
308 |
+
"loss": 0.677,
|
309 |
"step": 50
|
310 |
},
|
311 |
{
|
312 |
"epoch": 0.1,
|
313 |
+
"learning_rate": 0.00018072289156626507,
|
314 |
+
"loss": 0.6028,
|
315 |
"step": 51
|
316 |
},
|
317 |
{
|
318 |
"epoch": 0.11,
|
319 |
+
"learning_rate": 0.00018032128514056225,
|
320 |
+
"loss": 0.5125,
|
321 |
"step": 52
|
322 |
},
|
323 |
{
|
324 |
"epoch": 0.11,
|
325 |
+
"learning_rate": 0.00017991967871485944,
|
326 |
+
"loss": 0.5452,
|
327 |
"step": 53
|
328 |
},
|
329 |
{
|
330 |
"epoch": 0.11,
|
331 |
+
"learning_rate": 0.00017951807228915663,
|
332 |
+
"loss": 0.5815,
|
333 |
"step": 54
|
334 |
},
|
335 |
{
|
336 |
"epoch": 0.11,
|
337 |
+
"learning_rate": 0.00017911646586345382,
|
338 |
+
"loss": 0.6096,
|
339 |
"step": 55
|
340 |
},
|
341 |
{
|
342 |
"epoch": 0.11,
|
343 |
+
"learning_rate": 0.000178714859437751,
|
344 |
+
"loss": 0.5586,
|
345 |
"step": 56
|
346 |
},
|
347 |
{
|
348 |
"epoch": 0.12,
|
349 |
+
"learning_rate": 0.0001783132530120482,
|
350 |
+
"loss": 0.5975,
|
351 |
"step": 57
|
352 |
},
|
353 |
{
|
354 |
"epoch": 0.12,
|
355 |
+
"learning_rate": 0.0001779116465863454,
|
356 |
+
"loss": 0.5385,
|
357 |
"step": 58
|
358 |
},
|
359 |
{
|
360 |
"epoch": 0.12,
|
361 |
+
"learning_rate": 0.00017751004016064258,
|
362 |
+
"loss": 0.6037,
|
363 |
"step": 59
|
364 |
},
|
365 |
{
|
366 |
"epoch": 0.12,
|
367 |
+
"learning_rate": 0.00017710843373493977,
|
368 |
+
"loss": 0.5263,
|
369 |
"step": 60
|
370 |
},
|
371 |
{
|
372 |
"epoch": 0.12,
|
373 |
+
"learning_rate": 0.00017670682730923696,
|
374 |
+
"loss": 0.5214,
|
375 |
"step": 61
|
376 |
},
|
377 |
{
|
378 |
"epoch": 0.13,
|
379 |
+
"learning_rate": 0.00017630522088353415,
|
380 |
+
"loss": 0.5572,
|
381 |
"step": 62
|
382 |
},
|
383 |
{
|
384 |
"epoch": 0.13,
|
385 |
+
"learning_rate": 0.00017590361445783134,
|
386 |
+
"loss": 0.5407,
|
387 |
"step": 63
|
388 |
},
|
389 |
{
|
390 |
"epoch": 0.13,
|
391 |
+
"learning_rate": 0.00017550200803212853,
|
392 |
+
"loss": 0.642,
|
393 |
"step": 64
|
394 |
},
|
395 |
{
|
396 |
"epoch": 0.13,
|
397 |
+
"learning_rate": 0.00017510040160642571,
|
398 |
+
"loss": 0.564,
|
399 |
"step": 65
|
400 |
},
|
401 |
{
|
402 |
"epoch": 0.13,
|
403 |
"learning_rate": 0.00017510040160642571,
|
404 |
+
"loss": 0.5841,
|
405 |
"step": 66
|
406 |
},
|
407 |
{
|
408 |
"epoch": 0.14,
|
409 |
"learning_rate": 0.0001746987951807229,
|
410 |
+
"loss": 0.5943,
|
411 |
"step": 67
|
412 |
},
|
413 |
{
|
414 |
"epoch": 0.14,
|
415 |
"learning_rate": 0.0001742971887550201,
|
416 |
+
"loss": 0.6104,
|
417 |
"step": 68
|
418 |
},
|
419 |
{
|
420 |
"epoch": 0.14,
|
421 |
"learning_rate": 0.00017389558232931728,
|
422 |
+
"loss": 0.6396,
|
423 |
"step": 69
|
424 |
},
|
425 |
{
|
426 |
"epoch": 0.14,
|
427 |
+
"learning_rate": 0.00017389558232931728,
|
428 |
+
"loss": 0.5897,
|
429 |
"step": 70
|
430 |
},
|
431 |
{
|
432 |
"epoch": 0.14,
|
433 |
+
"learning_rate": 0.00017349397590361447,
|
434 |
+
"loss": 0.6791,
|
435 |
"step": 71
|
436 |
},
|
437 |
{
|
438 |
"epoch": 0.15,
|
439 |
+
"learning_rate": 0.00017349397590361447,
|
440 |
+
"loss": 0.5242,
|
441 |
"step": 72
|
442 |
},
|
443 |
{
|
444 |
"epoch": 0.15,
|
445 |
+
"learning_rate": 0.00017309236947791166,
|
446 |
+
"loss": 0.5663,
|
447 |
"step": 73
|
448 |
},
|
449 |
{
|
450 |
"epoch": 0.15,
|
451 |
+
"learning_rate": 0.00017269076305220885,
|
452 |
+
"loss": 0.64,
|
453 |
"step": 74
|
454 |
},
|
455 |
{
|
456 |
"epoch": 0.15,
|
457 |
+
"learning_rate": 0.00017228915662650604,
|
458 |
+
"loss": 0.6026,
|
459 |
"step": 75
|
460 |
},
|
461 |
{
|
462 |
"epoch": 0.15,
|
463 |
+
"learning_rate": 0.00017188755020080323,
|
464 |
+
"loss": 0.6369,
|
465 |
"step": 76
|
466 |
},
|
467 |
{
|
468 |
"epoch": 0.16,
|
469 |
+
"learning_rate": 0.00017148594377510042,
|
470 |
+
"loss": 0.5729,
|
471 |
"step": 77
|
472 |
},
|
473 |
{
|
474 |
"epoch": 0.16,
|
475 |
+
"learning_rate": 0.0001710843373493976,
|
476 |
+
"loss": 0.6093,
|
477 |
"step": 78
|
478 |
},
|
479 |
{
|
480 |
"epoch": 0.16,
|
481 |
+
"learning_rate": 0.00017068273092369477,
|
482 |
+
"loss": 0.4828,
|
483 |
"step": 79
|
484 |
},
|
485 |
{
|
486 |
"epoch": 0.16,
|
487 |
+
"learning_rate": 0.00017028112449799199,
|
488 |
+
"loss": 0.6198,
|
489 |
"step": 80
|
490 |
},
|
491 |
{
|
492 |
"epoch": 0.16,
|
493 |
+
"learning_rate": 0.00016987951807228917,
|
494 |
+
"loss": 0.5897,
|
495 |
"step": 81
|
496 |
},
|
497 |
{
|
498 |
"epoch": 0.17,
|
499 |
+
"learning_rate": 0.00016947791164658636,
|
500 |
+
"loss": 0.5199,
|
501 |
"step": 82
|
502 |
},
|
503 |
{
|
504 |
"epoch": 0.17,
|
505 |
+
"learning_rate": 0.00016907630522088353,
|
506 |
+
"loss": 0.6618,
|
507 |
"step": 83
|
508 |
},
|
509 |
{
|
510 |
"epoch": 0.17,
|
511 |
+
"learning_rate": 0.00016867469879518074,
|
512 |
+
"loss": 0.6122,
|
513 |
"step": 84
|
514 |
},
|
515 |
{
|
516 |
"epoch": 0.17,
|
517 |
+
"learning_rate": 0.00016827309236947793,
|
518 |
+
"loss": 0.5936,
|
519 |
"step": 85
|
520 |
},
|
521 |
{
|
522 |
"epoch": 0.17,
|
523 |
+
"learning_rate": 0.00016787148594377512,
|
524 |
+
"loss": 0.5536,
|
525 |
"step": 86
|
526 |
},
|
527 |
{
|
528 |
"epoch": 0.18,
|
529 |
+
"learning_rate": 0.00016746987951807228,
|
530 |
+
"loss": 0.5842,
|
531 |
"step": 87
|
532 |
},
|
533 |
{
|
534 |
"epoch": 0.18,
|
535 |
+
"learning_rate": 0.00016706827309236947,
|
536 |
+
"loss": 0.5186,
|
537 |
"step": 88
|
538 |
},
|
539 |
{
|
540 |
"epoch": 0.18,
|
541 |
+
"learning_rate": 0.0001666666666666667,
|
542 |
+
"loss": 0.6374,
|
543 |
"step": 89
|
544 |
},
|
545 |
{
|
546 |
"epoch": 0.18,
|
547 |
+
"learning_rate": 0.00016626506024096388,
|
548 |
+
"loss": 0.5971,
|
549 |
"step": 90
|
550 |
},
|
551 |
{
|
552 |
"epoch": 0.18,
|
553 |
+
"learning_rate": 0.00016586345381526104,
|
554 |
+
"loss": 0.5287,
|
555 |
"step": 91
|
556 |
},
|
557 |
{
|
558 |
"epoch": 0.19,
|
559 |
+
"learning_rate": 0.00016546184738955823,
|
560 |
+
"loss": 0.5564,
|
561 |
"step": 92
|
562 |
},
|
563 |
{
|
564 |
"epoch": 0.19,
|
565 |
+
"learning_rate": 0.00016506024096385545,
|
566 |
+
"loss": 0.5261,
|
567 |
"step": 93
|
568 |
},
|
569 |
{
|
570 |
"epoch": 0.19,
|
571 |
+
"learning_rate": 0.00016465863453815263,
|
572 |
+
"loss": 0.6054,
|
573 |
"step": 94
|
574 |
},
|
575 |
{
|
576 |
"epoch": 0.19,
|
577 |
+
"learning_rate": 0.0001642570281124498,
|
578 |
+
"loss": 0.5507,
|
579 |
"step": 95
|
580 |
},
|
581 |
{
|
582 |
"epoch": 0.19,
|
583 |
+
"learning_rate": 0.00016385542168674699,
|
584 |
+
"loss": 0.5036,
|
585 |
"step": 96
|
586 |
},
|
587 |
{
|
588 |
"epoch": 0.2,
|
589 |
+
"learning_rate": 0.00016345381526104417,
|
590 |
+
"loss": 0.6015,
|
591 |
"step": 97
|
592 |
},
|
593 |
{
|
594 |
"epoch": 0.2,
|
595 |
+
"learning_rate": 0.0001630522088353414,
|
596 |
+
"loss": 0.4337,
|
597 |
"step": 98
|
598 |
},
|
599 |
{
|
600 |
"epoch": 0.2,
|
601 |
+
"learning_rate": 0.00016265060240963855,
|
602 |
+
"loss": 0.4683,
|
603 |
"step": 99
|
604 |
},
|
605 |
{
|
606 |
"epoch": 0.2,
|
607 |
+
"learning_rate": 0.00016224899598393574,
|
608 |
+
"loss": 0.5412,
|
609 |
"step": 100
|
610 |
},
|
611 |
{
|
612 |
"epoch": 0.2,
|
613 |
+
"learning_rate": 0.00016184738955823293,
|
614 |
+
"loss": 0.4477,
|
615 |
"step": 101
|
616 |
},
|
617 |
{
|
618 |
"epoch": 0.21,
|
619 |
+
"learning_rate": 0.00016144578313253015,
|
620 |
+
"loss": 0.604,
|
621 |
"step": 102
|
622 |
},
|
623 |
{
|
624 |
"epoch": 0.21,
|
625 |
+
"learning_rate": 0.0001610441767068273,
|
626 |
+
"loss": 0.4492,
|
627 |
"step": 103
|
628 |
},
|
629 |
{
|
630 |
"epoch": 0.21,
|
631 |
+
"learning_rate": 0.0001606425702811245,
|
632 |
+
"loss": 0.5725,
|
633 |
"step": 104
|
634 |
},
|
635 |
{
|
636 |
"epoch": 0.21,
|
637 |
+
"learning_rate": 0.0001602409638554217,
|
638 |
+
"loss": 0.5427,
|
639 |
"step": 105
|
640 |
},
|
641 |
{
|
642 |
"epoch": 0.22,
|
643 |
+
"learning_rate": 0.00015983935742971888,
|
644 |
+
"loss": 0.5181,
|
645 |
"step": 106
|
646 |
},
|
647 |
{
|
648 |
"epoch": 0.22,
|
649 |
+
"learning_rate": 0.00015943775100401607,
|
650 |
+
"loss": 0.5349,
|
651 |
"step": 107
|
652 |
},
|
653 |
{
|
654 |
"epoch": 0.22,
|
655 |
+
"learning_rate": 0.00015903614457831326,
|
656 |
+
"loss": 0.5541,
|
657 |
"step": 108
|
658 |
},
|
659 |
{
|
660 |
"epoch": 0.22,
|
661 |
+
"learning_rate": 0.00015863453815261045,
|
662 |
+
"loss": 0.645,
|
663 |
"step": 109
|
664 |
},
|
665 |
{
|
666 |
"epoch": 0.22,
|
667 |
+
"learning_rate": 0.00015823293172690763,
|
668 |
+
"loss": 0.4867,
|
669 |
"step": 110
|
670 |
},
|
671 |
{
|
672 |
"epoch": 0.23,
|
673 |
+
"learning_rate": 0.00015783132530120482,
|
674 |
+
"loss": 0.5756,
|
675 |
"step": 111
|
676 |
},
|
677 |
{
|
678 |
"epoch": 0.23,
|
679 |
+
"learning_rate": 0.000157429718875502,
|
680 |
+
"loss": 0.5538,
|
681 |
"step": 112
|
682 |
},
|
683 |
{
|
684 |
"epoch": 0.23,
|
685 |
+
"learning_rate": 0.0001570281124497992,
|
686 |
+
"loss": 0.5045,
|
687 |
"step": 113
|
688 |
},
|
689 |
{
|
690 |
"epoch": 0.23,
|
691 |
+
"learning_rate": 0.0001566265060240964,
|
692 |
+
"loss": 0.5994,
|
693 |
"step": 114
|
694 |
},
|
695 |
{
|
696 |
"epoch": 0.23,
|
697 |
+
"learning_rate": 0.00015622489959839358,
|
698 |
+
"loss": 0.501,
|
699 |
"step": 115
|
700 |
},
|
701 |
{
|
702 |
"epoch": 0.24,
|
703 |
+
"learning_rate": 0.00015582329317269077,
|
704 |
+
"loss": 0.7085,
|
705 |
"step": 116
|
706 |
},
|
707 |
{
|
708 |
"epoch": 0.24,
|
709 |
+
"learning_rate": 0.00015542168674698796,
|
710 |
+
"loss": 0.4625,
|
711 |
"step": 117
|
712 |
},
|
713 |
{
|
714 |
"epoch": 0.24,
|
715 |
+
"learning_rate": 0.00015502008032128515,
|
716 |
+
"loss": 0.5,
|
717 |
"step": 118
|
718 |
},
|
719 |
{
|
720 |
"epoch": 0.24,
|
721 |
+
"learning_rate": 0.00015461847389558234,
|
722 |
+
"loss": 0.5701,
|
723 |
"step": 119
|
724 |
},
|
725 |
{
|
726 |
"epoch": 0.24,
|
727 |
+
"learning_rate": 0.00015421686746987953,
|
728 |
+
"loss": 0.6223,
|
729 |
"step": 120
|
730 |
},
|
731 |
{
|
732 |
"epoch": 0.25,
|
733 |
+
"learning_rate": 0.00015381526104417672,
|
734 |
+
"loss": 0.5365,
|
735 |
"step": 121
|
736 |
},
|
737 |
{
|
738 |
"epoch": 0.25,
|
739 |
+
"learning_rate": 0.0001534136546184739,
|
740 |
+
"loss": 0.5218,
|
741 |
"step": 122
|
742 |
},
|
743 |
{
|
744 |
"epoch": 0.25,
|
745 |
+
"learning_rate": 0.0001530120481927711,
|
746 |
+
"loss": 0.4085,
|
747 |
"step": 123
|
748 |
},
|
749 |
{
|
750 |
"epoch": 0.25,
|
751 |
+
"learning_rate": 0.00015261044176706828,
|
752 |
+
"loss": 0.6416,
|
753 |
"step": 124
|
754 |
},
|
755 |
{
|
756 |
"epoch": 0.25,
|
757 |
+
"learning_rate": 0.00015220883534136547,
|
758 |
+
"loss": 0.5738,
|
759 |
"step": 125
|
760 |
},
|
761 |
{
|
762 |
"epoch": 0.26,
|
763 |
+
"learning_rate": 0.00015180722891566266,
|
764 |
+
"loss": 0.5344,
|
765 |
"step": 126
|
766 |
},
|
767 |
{
|
768 |
"epoch": 0.26,
|
769 |
+
"learning_rate": 0.00015140562248995985,
|
770 |
+
"loss": 0.4046,
|
771 |
"step": 127
|
772 |
},
|
773 |
{
|
774 |
"epoch": 0.26,
|
775 |
+
"learning_rate": 0.00015100401606425701,
|
776 |
+
"loss": 0.533,
|
777 |
"step": 128
|
778 |
},
|
779 |
{
|
780 |
"epoch": 0.26,
|
781 |
+
"learning_rate": 0.00015060240963855423,
|
782 |
+
"loss": 0.5562,
|
783 |
"step": 129
|
784 |
},
|
785 |
{
|
786 |
"epoch": 0.26,
|
787 |
+
"learning_rate": 0.00015020080321285142,
|
788 |
+
"loss": 0.5604,
|
789 |
"step": 130
|
790 |
},
|
791 |
{
|
792 |
"epoch": 0.27,
|
793 |
+
"learning_rate": 0.0001497991967871486,
|
794 |
+
"loss": 0.4536,
|
795 |
"step": 131
|
796 |
},
|
797 |
{
|
798 |
"epoch": 0.27,
|
799 |
+
"learning_rate": 0.00014939759036144577,
|
800 |
+
"loss": 0.6567,
|
801 |
"step": 132
|
802 |
},
|
803 |
{
|
804 |
"epoch": 0.27,
|
805 |
+
"learning_rate": 0.000148995983935743,
|
806 |
+
"loss": 0.5409,
|
807 |
"step": 133
|
808 |
},
|
809 |
{
|
810 |
"epoch": 0.27,
|
811 |
+
"learning_rate": 0.00014859437751004018,
|
812 |
+
"loss": 0.5631,
|
813 |
"step": 134
|
814 |
},
|
815 |
{
|
816 |
"epoch": 0.27,
|
817 |
+
"learning_rate": 0.00014819277108433737,
|
818 |
+
"loss": 0.6738,
|
819 |
"step": 135
|
820 |
},
|
821 |
{
|
822 |
"epoch": 0.28,
|
823 |
+
"learning_rate": 0.00014779116465863453,
|
824 |
+
"loss": 0.6269,
|
825 |
"step": 136
|
826 |
},
|
827 |
{
|
828 |
"epoch": 0.28,
|
829 |
+
"learning_rate": 0.00014738955823293172,
|
830 |
+
"loss": 0.4706,
|
831 |
"step": 137
|
832 |
},
|
833 |
{
|
834 |
"epoch": 0.28,
|
835 |
+
"learning_rate": 0.00014698795180722893,
|
836 |
+
"loss": 0.5329,
|
837 |
"step": 138
|
838 |
},
|
839 |
{
|
840 |
"epoch": 0.28,
|
841 |
+
"learning_rate": 0.00014658634538152612,
|
842 |
+
"loss": 0.5667,
|
843 |
"step": 139
|
844 |
},
|
845 |
{
|
846 |
"epoch": 0.28,
|
847 |
+
"learning_rate": 0.00014618473895582328,
|
848 |
+
"loss": 0.5383,
|
849 |
"step": 140
|
850 |
},
|
851 |
{
|
852 |
"epoch": 0.29,
|
853 |
+
"learning_rate": 0.00014578313253012047,
|
854 |
+
"loss": 0.5738,
|
855 |
"step": 141
|
856 |
},
|
857 |
{
|
858 |
"epoch": 0.29,
|
859 |
+
"learning_rate": 0.0001453815261044177,
|
860 |
+
"loss": 0.5858,
|
861 |
"step": 142
|
862 |
},
|
863 |
{
|
864 |
"epoch": 0.29,
|
865 |
+
"learning_rate": 0.00014497991967871488,
|
866 |
+
"loss": 0.547,
|
867 |
"step": 143
|
868 |
},
|
869 |
{
|
870 |
"epoch": 0.29,
|
871 |
+
"learning_rate": 0.00014457831325301204,
|
872 |
+
"loss": 0.5007,
|
873 |
"step": 144
|
874 |
},
|
875 |
{
|
876 |
"epoch": 0.29,
|
877 |
+
"learning_rate": 0.00014417670682730923,
|
878 |
+
"loss": 0.4873,
|
879 |
"step": 145
|
880 |
},
|
881 |
{
|
882 |
"epoch": 0.3,
|
883 |
+
"learning_rate": 0.00014377510040160642,
|
884 |
+
"loss": 0.5448,
|
885 |
"step": 146
|
886 |
},
|
887 |
{
|
888 |
"epoch": 0.3,
|
889 |
+
"learning_rate": 0.00014337349397590364,
|
890 |
+
"loss": 0.5411,
|
891 |
"step": 147
|
892 |
},
|
893 |
{
|
894 |
"epoch": 0.3,
|
895 |
+
"learning_rate": 0.0001429718875502008,
|
896 |
+
"loss": 0.4557,
|
897 |
"step": 148
|
898 |
},
|
899 |
{
|
900 |
"epoch": 0.3,
|
901 |
+
"learning_rate": 0.000142570281124498,
|
902 |
+
"loss": 0.6834,
|
903 |
"step": 149
|
904 |
},
|
905 |
{
|
906 |
"epoch": 0.3,
|
907 |
+
"learning_rate": 0.00014216867469879518,
|
908 |
+
"loss": 0.4711,
|
909 |
"step": 150
|
910 |
},
|
911 |
{
|
912 |
"epoch": 0.31,
|
913 |
+
"learning_rate": 0.0001417670682730924,
|
914 |
+
"loss": 0.5493,
|
915 |
"step": 151
|
916 |
},
|
917 |
{
|
918 |
"epoch": 0.31,
|
919 |
+
"learning_rate": 0.00014136546184738956,
|
920 |
+
"loss": 0.6398,
|
921 |
"step": 152
|
922 |
},
|
923 |
{
|
924 |
"epoch": 0.31,
|
925 |
+
"learning_rate": 0.00014096385542168674,
|
926 |
+
"loss": 0.431,
|
927 |
"step": 153
|
928 |
},
|
929 |
{
|
930 |
"epoch": 0.31,
|
931 |
+
"learning_rate": 0.00014056224899598393,
|
932 |
+
"loss": 0.5327,
|
933 |
"step": 154
|
934 |
},
|
935 |
{
|
936 |
"epoch": 0.31,
|
937 |
+
"learning_rate": 0.00014016064257028115,
|
938 |
+
"loss": 0.4872,
|
939 |
"step": 155
|
940 |
},
|
941 |
{
|
942 |
"epoch": 0.32,
|
943 |
+
"learning_rate": 0.00013975903614457834,
|
944 |
+
"loss": 0.5585,
|
945 |
"step": 156
|
946 |
},
|
947 |
{
|
948 |
"epoch": 0.32,
|
949 |
+
"learning_rate": 0.0001393574297188755,
|
950 |
+
"loss": 0.5265,
|
951 |
"step": 157
|
952 |
},
|
953 |
{
|
954 |
"epoch": 0.32,
|
955 |
+
"learning_rate": 0.0001389558232931727,
|
956 |
+
"loss": 0.4452,
|
957 |
"step": 158
|
958 |
},
|
959 |
{
|
960 |
"epoch": 0.32,
|
961 |
+
"learning_rate": 0.00013855421686746988,
|
962 |
+
"loss": 0.4484,
|
963 |
"step": 159
|
964 |
},
|
965 |
{
|
966 |
"epoch": 0.32,
|
967 |
+
"learning_rate": 0.0001381526104417671,
|
968 |
+
"loss": 0.5937,
|
969 |
"step": 160
|
970 |
},
|
971 |
{
|
972 |
"epoch": 0.33,
|
973 |
+
"learning_rate": 0.00013775100401606426,
|
974 |
+
"loss": 0.633,
|
975 |
"step": 161
|
976 |
},
|
977 |
{
|
978 |
"epoch": 0.33,
|
979 |
+
"learning_rate": 0.00013734939759036145,
|
980 |
+
"loss": 0.5567,
|
981 |
"step": 162
|
982 |
},
|
983 |
{
|
984 |
"epoch": 0.33,
|
985 |
+
"learning_rate": 0.00013694779116465864,
|
986 |
+
"loss": 0.4977,
|
987 |
"step": 163
|
988 |
},
|
989 |
{
|
990 |
"epoch": 0.33,
|
991 |
+
"learning_rate": 0.00013654618473895585,
|
992 |
+
"loss": 0.5725,
|
993 |
"step": 164
|
994 |
},
|
995 |
{
|
996 |
"epoch": 0.33,
|
997 |
+
"learning_rate": 0.00013614457831325302,
|
998 |
+
"loss": 0.4755,
|
999 |
"step": 165
|
1000 |
},
|
1001 |
{
|
1002 |
"epoch": 0.34,
|
1003 |
+
"learning_rate": 0.0001357429718875502,
|
1004 |
+
"loss": 0.5775,
|
1005 |
"step": 166
|
1006 |
},
|
1007 |
{
|
1008 |
"epoch": 0.34,
|
1009 |
+
"learning_rate": 0.0001353413654618474,
|
1010 |
+
"loss": 0.5108,
|
1011 |
"step": 167
|
1012 |
},
|
1013 |
{
|
1014 |
"epoch": 0.34,
|
1015 |
+
"learning_rate": 0.00013493975903614458,
|
1016 |
+
"loss": 0.4864,
|
1017 |
"step": 168
|
1018 |
},
|
1019 |
{
|
1020 |
"epoch": 0.34,
|
1021 |
+
"learning_rate": 0.00013453815261044177,
|
1022 |
+
"loss": 0.453,
|
1023 |
"step": 169
|
1024 |
},
|
1025 |
{
|
1026 |
"epoch": 0.34,
|
1027 |
+
"learning_rate": 0.00013413654618473896,
|
1028 |
+
"loss": 0.5195,
|
1029 |
"step": 170
|
1030 |
},
|
1031 |
{
|
1032 |
"epoch": 0.35,
|
1033 |
+
"learning_rate": 0.00013373493975903615,
|
1034 |
+
"loss": 0.505,
|
1035 |
"step": 171
|
1036 |
},
|
1037 |
{
|
1038 |
"epoch": 0.35,
|
1039 |
+
"learning_rate": 0.00013333333333333334,
|
1040 |
+
"loss": 0.5824,
|
1041 |
"step": 172
|
1042 |
},
|
1043 |
{
|
1044 |
"epoch": 0.35,
|
1045 |
+
"learning_rate": 0.00013293172690763053,
|
1046 |
+
"loss": 0.5636,
|
1047 |
"step": 173
|
1048 |
},
|
1049 |
{
|
1050 |
"epoch": 0.35,
|
1051 |
+
"learning_rate": 0.00013253012048192772,
|
1052 |
+
"loss": 0.5301,
|
1053 |
"step": 174
|
1054 |
},
|
1055 |
{
|
1056 |
"epoch": 0.35,
|
1057 |
+
"learning_rate": 0.0001321285140562249,
|
1058 |
+
"loss": 0.5407,
|
1059 |
"step": 175
|
1060 |
},
|
1061 |
{
|
1062 |
"epoch": 0.36,
|
1063 |
+
"learning_rate": 0.0001317269076305221,
|
1064 |
+
"loss": 0.5523,
|
1065 |
"step": 176
|
1066 |
},
|
1067 |
{
|
1068 |
"epoch": 0.36,
|
1069 |
+
"learning_rate": 0.00013132530120481929,
|
1070 |
+
"loss": 0.4935,
|
1071 |
"step": 177
|
1072 |
},
|
1073 |
{
|
1074 |
"epoch": 0.36,
|
1075 |
+
"learning_rate": 0.00013092369477911648,
|
1076 |
+
"loss": 0.5117,
|
1077 |
"step": 178
|
1078 |
},
|
1079 |
{
|
1080 |
"epoch": 0.36,
|
1081 |
+
"learning_rate": 0.00013052208835341366,
|
1082 |
+
"loss": 0.5467,
|
1083 |
"step": 179
|
1084 |
},
|
1085 |
{
|
1086 |
"epoch": 0.37,
|
1087 |
+
"learning_rate": 0.00013012048192771085,
|
1088 |
+
"loss": 0.483,
|
1089 |
"step": 180
|
1090 |
},
|
1091 |
{
|
1092 |
"epoch": 0.37,
|
1093 |
+
"learning_rate": 0.00012971887550200804,
|
1094 |
+
"loss": 0.5672,
|
1095 |
"step": 181
|
1096 |
},
|
1097 |
{
|
1098 |
"epoch": 0.37,
|
1099 |
+
"learning_rate": 0.00012931726907630523,
|
1100 |
+
"loss": 0.5243,
|
1101 |
"step": 182
|
1102 |
},
|
1103 |
{
|
1104 |
"epoch": 0.37,
|
1105 |
+
"learning_rate": 0.00012891566265060242,
|
1106 |
+
"loss": 0.5918,
|
1107 |
"step": 183
|
1108 |
},
|
1109 |
{
|
1110 |
"epoch": 0.37,
|
1111 |
+
"learning_rate": 0.0001285140562248996,
|
1112 |
+
"loss": 0.5734,
|
1113 |
"step": 184
|
1114 |
},
|
1115 |
{
|
1116 |
"epoch": 0.38,
|
1117 |
+
"learning_rate": 0.0001281124497991968,
|
1118 |
+
"loss": 0.4241,
|
1119 |
"step": 185
|
1120 |
},
|
1121 |
{
|
1122 |
"epoch": 0.38,
|
1123 |
+
"learning_rate": 0.00012771084337349396,
|
1124 |
+
"loss": 0.4793,
|
1125 |
"step": 186
|
1126 |
},
|
1127 |
{
|
1128 |
"epoch": 0.38,
|
1129 |
+
"learning_rate": 0.00012730923694779118,
|
1130 |
+
"loss": 0.5891,
|
1131 |
"step": 187
|
1132 |
},
|
1133 |
{
|
1134 |
"epoch": 0.38,
|
1135 |
+
"learning_rate": 0.00012690763052208837,
|
1136 |
+
"loss": 0.3679,
|
1137 |
"step": 188
|
1138 |
},
|
1139 |
{
|
1140 |
"epoch": 0.38,
|
1141 |
+
"learning_rate": 0.00012650602409638556,
|
1142 |
+
"loss": 0.5683,
|
1143 |
"step": 189
|
1144 |
},
|
1145 |
{
|
1146 |
"epoch": 0.39,
|
1147 |
+
"learning_rate": 0.00012610441767068272,
|
1148 |
+
"loss": 0.6756,
|
1149 |
"step": 190
|
1150 |
},
|
1151 |
{
|
1152 |
"epoch": 0.39,
|
1153 |
+
"learning_rate": 0.00012570281124497994,
|
1154 |
+
"loss": 0.5447,
|
1155 |
"step": 191
|
1156 |
},
|
1157 |
{
|
1158 |
"epoch": 0.39,
|
1159 |
+
"learning_rate": 0.00012530120481927712,
|
1160 |
+
"loss": 0.5521,
|
1161 |
"step": 192
|
1162 |
},
|
1163 |
{
|
1164 |
"epoch": 0.39,
|
1165 |
+
"learning_rate": 0.0001248995983935743,
|
1166 |
+
"loss": 0.4863,
|
1167 |
"step": 193
|
1168 |
},
|
1169 |
{
|
1170 |
"epoch": 0.39,
|
1171 |
+
"learning_rate": 0.00012449799196787148,
|
1172 |
+
"loss": 0.4513,
|
1173 |
"step": 194
|
1174 |
},
|
1175 |
{
|
1176 |
"epoch": 0.4,
|
1177 |
+
"learning_rate": 0.0001240963855421687,
|
1178 |
+
"loss": 0.4295,
|
1179 |
"step": 195
|
1180 |
},
|
1181 |
{
|
1182 |
"epoch": 0.4,
|
1183 |
+
"learning_rate": 0.00012369477911646588,
|
1184 |
+
"loss": 0.6476,
|
1185 |
"step": 196
|
1186 |
},
|
1187 |
{
|
1188 |
"epoch": 0.4,
|
1189 |
+
"learning_rate": 0.00012329317269076307,
|
1190 |
+
"loss": 0.7451,
|
1191 |
"step": 197
|
1192 |
},
|
1193 |
{
|
1194 |
"epoch": 0.4,
|
1195 |
+
"learning_rate": 0.00012289156626506023,
|
1196 |
+
"loss": 0.4192,
|
1197 |
"step": 198
|
1198 |
},
|
1199 |
{
|
1200 |
"epoch": 0.4,
|
1201 |
+
"learning_rate": 0.00012248995983935742,
|
1202 |
+
"loss": 0.5759,
|
1203 |
"step": 199
|
1204 |
},
|
1205 |
{
|
1206 |
"epoch": 0.41,
|
1207 |
+
"learning_rate": 0.00012208835341365464,
|
1208 |
+
"loss": 0.4549,
|
1209 |
"step": 200
|
1210 |
},
|
1211 |
{
|
1212 |
"epoch": 0.41,
|
1213 |
+
"learning_rate": 0.00012168674698795181,
|
1214 |
+
"loss": 0.4356,
|
1215 |
"step": 201
|
1216 |
},
|
1217 |
{
|
1218 |
"epoch": 0.41,
|
1219 |
+
"learning_rate": 0.000121285140562249,
|
1220 |
+
"loss": 0.4919,
|
1221 |
"step": 202
|
1222 |
},
|
1223 |
{
|
1224 |
"epoch": 0.41,
|
1225 |
+
"learning_rate": 0.00012088353413654618,
|
1226 |
+
"loss": 0.4903,
|
1227 |
"step": 203
|
1228 |
},
|
1229 |
{
|
1230 |
"epoch": 0.41,
|
1231 |
+
"learning_rate": 0.0001204819277108434,
|
1232 |
+
"loss": 0.5258,
|
1233 |
"step": 204
|
1234 |
},
|
1235 |
{
|
1236 |
"epoch": 0.42,
|
1237 |
+
"learning_rate": 0.00012008032128514057,
|
1238 |
+
"loss": 0.4879,
|
1239 |
"step": 205
|
1240 |
},
|
1241 |
{
|
1242 |
"epoch": 0.42,
|
1243 |
+
"learning_rate": 0.00011967871485943776,
|
1244 |
+
"loss": 0.6125,
|
1245 |
"step": 206
|
1246 |
},
|
1247 |
{
|
1248 |
"epoch": 0.42,
|
1249 |
+
"learning_rate": 0.00011927710843373494,
|
1250 |
+
"loss": 0.3603,
|
1251 |
"step": 207
|
1252 |
},
|
1253 |
{
|
1254 |
"epoch": 0.42,
|
1255 |
+
"learning_rate": 0.00011887550200803212,
|
1256 |
+
"loss": 0.5075,
|
1257 |
"step": 208
|
1258 |
},
|
1259 |
{
|
1260 |
"epoch": 0.42,
|
1261 |
+
"learning_rate": 0.00011847389558232933,
|
1262 |
+
"loss": 0.477,
|
1263 |
"step": 209
|
1264 |
},
|
1265 |
{
|
1266 |
"epoch": 0.43,
|
1267 |
+
"learning_rate": 0.00011807228915662652,
|
1268 |
+
"loss": 0.5993,
|
1269 |
"step": 210
|
1270 |
},
|
1271 |
{
|
1272 |
"epoch": 0.43,
|
1273 |
+
"learning_rate": 0.00011767068273092369,
|
1274 |
+
"loss": 0.6308,
|
1275 |
"step": 211
|
1276 |
},
|
1277 |
{
|
1278 |
"epoch": 0.43,
|
1279 |
+
"learning_rate": 0.00011726907630522088,
|
1280 |
+
"loss": 0.5536,
|
1281 |
"step": 212
|
1282 |
},
|
1283 |
{
|
1284 |
"epoch": 0.43,
|
1285 |
+
"learning_rate": 0.00011686746987951808,
|
1286 |
+
"loss": 0.543,
|
1287 |
"step": 213
|
1288 |
},
|
1289 |
{
|
1290 |
"epoch": 0.43,
|
1291 |
+
"learning_rate": 0.00011646586345381527,
|
1292 |
+
"loss": 0.4425,
|
1293 |
"step": 214
|
1294 |
},
|
1295 |
{
|
1296 |
"epoch": 0.44,
|
1297 |
+
"learning_rate": 0.00011606425702811245,
|
1298 |
+
"loss": 0.4654,
|
1299 |
"step": 215
|
1300 |
},
|
1301 |
{
|
1302 |
"epoch": 0.44,
|
1303 |
+
"learning_rate": 0.00011566265060240964,
|
1304 |
+
"loss": 0.6456,
|
1305 |
"step": 216
|
1306 |
},
|
1307 |
{
|
1308 |
"epoch": 0.44,
|
1309 |
+
"learning_rate": 0.00011526104417670683,
|
1310 |
+
"loss": 0.3711,
|
1311 |
"step": 217
|
1312 |
},
|
1313 |
{
|
1314 |
"epoch": 0.44,
|
1315 |
+
"learning_rate": 0.00011485943775100403,
|
1316 |
+
"loss": 0.6118,
|
1317 |
"step": 218
|
1318 |
},
|
1319 |
{
|
1320 |
"epoch": 0.44,
|
1321 |
+
"learning_rate": 0.0001144578313253012,
|
1322 |
+
"loss": 0.4701,
|
1323 |
"step": 219
|
1324 |
},
|
1325 |
{
|
1326 |
"epoch": 0.45,
|
1327 |
+
"learning_rate": 0.0001140562248995984,
|
1328 |
+
"loss": 0.6464,
|
1329 |
"step": 220
|
1330 |
},
|
1331 |
{
|
1332 |
"epoch": 0.45,
|
1333 |
+
"learning_rate": 0.00011365461847389558,
|
1334 |
+
"loss": 0.5584,
|
1335 |
"step": 221
|
1336 |
},
|
1337 |
{
|
1338 |
"epoch": 0.45,
|
1339 |
+
"learning_rate": 0.00011325301204819279,
|
1340 |
+
"loss": 0.4335,
|
1341 |
"step": 222
|
1342 |
},
|
1343 |
{
|
1344 |
"epoch": 0.45,
|
1345 |
+
"learning_rate": 0.00011285140562248996,
|
1346 |
+
"loss": 0.4801,
|
1347 |
"step": 223
|
1348 |
},
|
1349 |
{
|
1350 |
"epoch": 0.45,
|
1351 |
+
"learning_rate": 0.00011244979919678715,
|
1352 |
+
"loss": 0.3407,
|
1353 |
"step": 224
|
1354 |
},
|
1355 |
{
|
1356 |
"epoch": 0.46,
|
1357 |
+
"learning_rate": 0.00011204819277108434,
|
1358 |
+
"loss": 0.6034,
|
1359 |
"step": 225
|
1360 |
},
|
1361 |
{
|
1362 |
"epoch": 0.46,
|
1363 |
+
"learning_rate": 0.00011164658634538152,
|
1364 |
+
"loss": 0.5506,
|
1365 |
"step": 226
|
1366 |
},
|
1367 |
{
|
1368 |
"epoch": 0.46,
|
1369 |
+
"learning_rate": 0.00011124497991967872,
|
1370 |
+
"loss": 0.481,
|
1371 |
"step": 227
|
1372 |
},
|
1373 |
{
|
1374 |
"epoch": 0.46,
|
1375 |
+
"learning_rate": 0.00011084337349397591,
|
1376 |
+
"loss": 0.4276,
|
1377 |
"step": 228
|
1378 |
},
|
1379 |
{
|
1380 |
"epoch": 0.46,
|
1381 |
+
"learning_rate": 0.0001104417670682731,
|
1382 |
+
"loss": 0.4313,
|
1383 |
"step": 229
|
1384 |
},
|
1385 |
{
|
1386 |
"epoch": 0.47,
|
1387 |
+
"learning_rate": 0.00011004016064257027,
|
1388 |
+
"loss": 0.4949,
|
1389 |
"step": 230
|
1390 |
},
|
1391 |
{
|
1392 |
"epoch": 0.47,
|
1393 |
+
"learning_rate": 0.00010963855421686749,
|
1394 |
+
"loss": 0.6185,
|
1395 |
"step": 231
|
1396 |
},
|
1397 |
{
|
1398 |
"epoch": 0.47,
|
1399 |
+
"learning_rate": 0.00010923694779116467,
|
1400 |
+
"loss": 0.4672,
|
1401 |
"step": 232
|
1402 |
},
|
1403 |
{
|
1404 |
"epoch": 0.47,
|
1405 |
+
"learning_rate": 0.00010883534136546186,
|
1406 |
+
"loss": 0.4117,
|
1407 |
"step": 233
|
1408 |
},
|
1409 |
{
|
1410 |
"epoch": 0.47,
|
1411 |
+
"learning_rate": 0.00010843373493975903,
|
1412 |
+
"loss": 0.4563,
|
1413 |
"step": 234
|
1414 |
},
|
1415 |
{
|
1416 |
"epoch": 0.48,
|
1417 |
+
"learning_rate": 0.00010803212851405625,
|
1418 |
+
"loss": 0.4599,
|
1419 |
"step": 235
|
1420 |
},
|
1421 |
{
|
1422 |
"epoch": 0.48,
|
1423 |
+
"learning_rate": 0.00010763052208835342,
|
1424 |
+
"loss": 0.4727,
|
1425 |
"step": 236
|
1426 |
},
|
1427 |
{
|
1428 |
"epoch": 0.48,
|
1429 |
+
"learning_rate": 0.00010722891566265061,
|
1430 |
+
"loss": 0.4977,
|
1431 |
"step": 237
|
1432 |
},
|
1433 |
{
|
1434 |
"epoch": 0.48,
|
1435 |
+
"learning_rate": 0.00010682730923694779,
|
1436 |
+
"loss": 0.4998,
|
1437 |
"step": 238
|
1438 |
},
|
1439 |
{
|
1440 |
"epoch": 0.48,
|
1441 |
+
"learning_rate": 0.00010642570281124498,
|
1442 |
+
"loss": 0.5356,
|
1443 |
"step": 239
|
1444 |
},
|
1445 |
{
|
1446 |
"epoch": 0.49,
|
1447 |
+
"learning_rate": 0.00010602409638554218,
|
1448 |
+
"loss": 0.682,
|
1449 |
"step": 240
|
1450 |
},
|
1451 |
{
|
1452 |
"epoch": 0.49,
|
1453 |
+
"learning_rate": 0.00010562248995983937,
|
1454 |
+
"loss": 0.4225,
|
1455 |
"step": 241
|
1456 |
},
|
1457 |
{
|
1458 |
"epoch": 0.49,
|
1459 |
+
"learning_rate": 0.00010522088353413654,
|
1460 |
+
"loss": 0.4163,
|
1461 |
"step": 242
|
1462 |
},
|
1463 |
{
|
1464 |
"epoch": 0.49,
|
1465 |
+
"learning_rate": 0.00010481927710843373,
|
1466 |
+
"loss": 0.5193,
|
1467 |
"step": 243
|
1468 |
},
|
1469 |
{
|
1470 |
"epoch": 0.49,
|
1471 |
+
"learning_rate": 0.00010441767068273094,
|
1472 |
+
"loss": 0.4881,
|
1473 |
"step": 244
|
1474 |
},
|
1475 |
{
|
1476 |
"epoch": 0.5,
|
1477 |
+
"learning_rate": 0.00010401606425702813,
|
1478 |
+
"loss": 0.5973,
|
1479 |
"step": 245
|
1480 |
},
|
1481 |
{
|
1482 |
"epoch": 0.5,
|
1483 |
+
"learning_rate": 0.0001036144578313253,
|
1484 |
+
"loss": 0.6056,
|
1485 |
"step": 246
|
1486 |
},
|
1487 |
{
|
1488 |
"epoch": 0.5,
|
1489 |
+
"learning_rate": 0.00010321285140562249,
|
1490 |
+
"loss": 0.4962,
|
1491 |
"step": 247
|
1492 |
},
|
1493 |
{
|
1494 |
"epoch": 0.5,
|
1495 |
+
"learning_rate": 0.00010281124497991968,
|
1496 |
+
"loss": 0.4292,
|
1497 |
"step": 248
|
1498 |
},
|
1499 |
{
|
1500 |
"epoch": 0.51,
|
1501 |
+
"learning_rate": 0.00010240963855421688,
|
1502 |
+
"loss": 0.3025,
|
1503 |
"step": 249
|
1504 |
},
|
1505 |
{
|
1506 |
"epoch": 0.51,
|
1507 |
+
"learning_rate": 0.00010200803212851406,
|
1508 |
+
"loss": 0.5663,
|
1509 |
"step": 250
|
1510 |
},
|
1511 |
{
|
1512 |
"epoch": 0.51,
|
1513 |
+
"learning_rate": 0.00010160642570281125,
|
1514 |
+
"loss": 0.5619,
|
1515 |
"step": 251
|
1516 |
},
|
1517 |
{
|
1518 |
"epoch": 0.51,
|
1519 |
+
"learning_rate": 0.00010120481927710844,
|
1520 |
+
"loss": 0.3658,
|
1521 |
"step": 252
|
1522 |
},
|
1523 |
{
|
1524 |
"epoch": 0.51,
|
1525 |
+
"learning_rate": 0.00010080321285140564,
|
1526 |
+
"loss": 0.3896,
|
1527 |
"step": 253
|
1528 |
},
|
1529 |
{
|
1530 |
"epoch": 0.52,
|
1531 |
+
"learning_rate": 0.00010040160642570282,
|
1532 |
+
"loss": 0.5241,
|
1533 |
"step": 254
|
1534 |
},
|
1535 |
{
|
1536 |
"epoch": 0.52,
|
1537 |
+
"learning_rate": 0.0001,
|
1538 |
+
"loss": 0.5142,
|
1539 |
"step": 255
|
1540 |
},
|
1541 |
{
|
1542 |
"epoch": 0.52,
|
1543 |
+
"learning_rate": 9.95983935742972e-05,
|
1544 |
+
"loss": 0.4884,
|
1545 |
"step": 256
|
1546 |
},
|
1547 |
{
|
1548 |
"epoch": 0.52,
|
1549 |
+
"learning_rate": 9.919678714859438e-05,
|
1550 |
+
"loss": 0.5735,
|
1551 |
"step": 257
|
1552 |
},
|
1553 |
{
|
1554 |
"epoch": 0.52,
|
1555 |
+
"learning_rate": 9.879518072289157e-05,
|
1556 |
+
"loss": 0.583,
|
1557 |
"step": 258
|
1558 |
},
|
1559 |
{
|
1560 |
"epoch": 0.53,
|
1561 |
+
"learning_rate": 9.839357429718876e-05,
|
1562 |
+
"loss": 0.4489,
|
1563 |
"step": 259
|
1564 |
},
|
1565 |
{
|
1566 |
"epoch": 0.53,
|
1567 |
+
"learning_rate": 9.799196787148595e-05,
|
1568 |
+
"loss": 0.4264,
|
1569 |
"step": 260
|
1570 |
},
|
1571 |
{
|
1572 |
"epoch": 0.53,
|
1573 |
+
"learning_rate": 9.759036144578314e-05,
|
1574 |
+
"loss": 0.4278,
|
1575 |
"step": 261
|
1576 |
},
|
1577 |
{
|
1578 |
"epoch": 0.53,
|
1579 |
+
"learning_rate": 9.718875502008033e-05,
|
1580 |
+
"loss": 0.4702,
|
1581 |
"step": 262
|
1582 |
},
|
1583 |
{
|
1584 |
"epoch": 0.53,
|
1585 |
+
"learning_rate": 9.678714859437752e-05,
|
1586 |
+
"loss": 0.449,
|
1587 |
"step": 263
|
1588 |
},
|
1589 |
{
|
1590 |
"epoch": 0.54,
|
1591 |
+
"learning_rate": 9.638554216867471e-05,
|
1592 |
+
"loss": 0.4962,
|
1593 |
"step": 264
|
1594 |
},
|
1595 |
{
|
1596 |
"epoch": 0.54,
|
1597 |
+
"learning_rate": 9.598393574297188e-05,
|
1598 |
+
"loss": 0.3863,
|
1599 |
"step": 265
|
1600 |
},
|
1601 |
{
|
1602 |
"epoch": 0.54,
|
1603 |
+
"learning_rate": 9.558232931726909e-05,
|
1604 |
+
"loss": 0.5568,
|
1605 |
"step": 266
|
1606 |
},
|
1607 |
{
|
1608 |
"epoch": 0.54,
|
1609 |
+
"learning_rate": 9.518072289156626e-05,
|
1610 |
+
"loss": 0.5375,
|
1611 |
"step": 267
|
1612 |
},
|
1613 |
{
|
1614 |
"epoch": 0.54,
|
1615 |
+
"learning_rate": 9.477911646586346e-05,
|
1616 |
+
"loss": 0.5499,
|
1617 |
"step": 268
|
1618 |
},
|
1619 |
{
|
1620 |
"epoch": 0.55,
|
1621 |
+
"learning_rate": 9.437751004016064e-05,
|
1622 |
+
"loss": 0.4131,
|
1623 |
"step": 269
|
1624 |
},
|
1625 |
{
|
1626 |
"epoch": 0.55,
|
1627 |
+
"learning_rate": 9.397590361445784e-05,
|
1628 |
+
"loss": 0.5534,
|
1629 |
"step": 270
|
1630 |
},
|
1631 |
{
|
1632 |
"epoch": 0.55,
|
1633 |
+
"learning_rate": 9.357429718875502e-05,
|
1634 |
+
"loss": 0.4585,
|
1635 |
"step": 271
|
1636 |
},
|
1637 |
{
|
1638 |
"epoch": 0.55,
|
1639 |
+
"learning_rate": 9.317269076305222e-05,
|
1640 |
+
"loss": 0.4265,
|
1641 |
"step": 272
|
1642 |
},
|
1643 |
{
|
1644 |
"epoch": 0.55,
|
1645 |
+
"learning_rate": 9.27710843373494e-05,
|
1646 |
+
"loss": 0.5282,
|
1647 |
"step": 273
|
1648 |
},
|
1649 |
{
|
1650 |
"epoch": 0.56,
|
1651 |
+
"learning_rate": 9.23694779116466e-05,
|
1652 |
+
"loss": 0.4547,
|
1653 |
"step": 274
|
1654 |
},
|
1655 |
{
|
1656 |
"epoch": 0.56,
|
1657 |
+
"learning_rate": 9.196787148594378e-05,
|
1658 |
+
"loss": 0.4545,
|
1659 |
"step": 275
|
1660 |
},
|
1661 |
{
|
1662 |
"epoch": 0.56,
|
1663 |
+
"learning_rate": 9.156626506024096e-05,
|
1664 |
+
"loss": 0.5389,
|
1665 |
"step": 276
|
1666 |
},
|
1667 |
{
|
1668 |
"epoch": 0.56,
|
1669 |
+
"learning_rate": 9.116465863453815e-05,
|
1670 |
+
"loss": 0.4894,
|
1671 |
"step": 277
|
1672 |
},
|
1673 |
{
|
1674 |
"epoch": 0.56,
|
1675 |
+
"learning_rate": 9.076305220883534e-05,
|
1676 |
+
"loss": 0.6222,
|
1677 |
"step": 278
|
1678 |
},
|
1679 |
{
|
1680 |
"epoch": 0.57,
|
1681 |
+
"learning_rate": 9.036144578313253e-05,
|
1682 |
+
"loss": 0.5307,
|
1683 |
"step": 279
|
1684 |
},
|
1685 |
{
|
1686 |
"epoch": 0.57,
|
1687 |
+
"learning_rate": 8.995983935742972e-05,
|
1688 |
+
"loss": 0.5401,
|
1689 |
"step": 280
|
1690 |
},
|
1691 |
{
|
1692 |
"epoch": 0.57,
|
1693 |
+
"learning_rate": 8.955823293172691e-05,
|
1694 |
+
"loss": 0.4126,
|
1695 |
"step": 281
|
1696 |
},
|
1697 |
{
|
1698 |
"epoch": 0.57,
|
1699 |
+
"learning_rate": 8.91566265060241e-05,
|
1700 |
+
"loss": 0.5427,
|
1701 |
"step": 282
|
1702 |
},
|
1703 |
{
|
1704 |
"epoch": 0.57,
|
1705 |
+
"learning_rate": 8.875502008032129e-05,
|
1706 |
+
"loss": 0.5385,
|
1707 |
"step": 283
|
1708 |
},
|
1709 |
{
|
1710 |
"epoch": 0.58,
|
1711 |
+
"learning_rate": 8.835341365461848e-05,
|
1712 |
+
"loss": 0.5756,
|
1713 |
"step": 284
|
1714 |
},
|
1715 |
{
|
1716 |
"epoch": 0.58,
|
1717 |
+
"learning_rate": 8.795180722891567e-05,
|
1718 |
+
"loss": 0.5019,
|
1719 |
"step": 285
|
1720 |
},
|
1721 |
{
|
1722 |
"epoch": 0.58,
|
1723 |
+
"learning_rate": 8.755020080321286e-05,
|
1724 |
+
"loss": 0.5949,
|
1725 |
"step": 286
|
1726 |
},
|
1727 |
{
|
1728 |
"epoch": 0.58,
|
1729 |
+
"learning_rate": 8.714859437751005e-05,
|
1730 |
+
"loss": 0.4836,
|
1731 |
"step": 287
|
1732 |
},
|
1733 |
{
|
1734 |
"epoch": 0.58,
|
1735 |
+
"learning_rate": 8.674698795180724e-05,
|
1736 |
+
"loss": 0.4241,
|
1737 |
"step": 288
|
1738 |
},
|
1739 |
{
|
1740 |
"epoch": 0.59,
|
1741 |
+
"learning_rate": 8.634538152610442e-05,
|
1742 |
+
"loss": 0.4537,
|
1743 |
"step": 289
|
1744 |
},
|
1745 |
{
|
1746 |
"epoch": 0.59,
|
1747 |
+
"learning_rate": 8.594377510040161e-05,
|
1748 |
+
"loss": 0.5246,
|
1749 |
"step": 290
|
1750 |
},
|
1751 |
{
|
1752 |
"epoch": 0.59,
|
1753 |
+
"learning_rate": 8.55421686746988e-05,
|
1754 |
+
"loss": 0.5373,
|
1755 |
"step": 291
|
1756 |
},
|
1757 |
{
|
1758 |
"epoch": 0.59,
|
1759 |
+
"learning_rate": 8.514056224899599e-05,
|
1760 |
+
"loss": 0.3863,
|
1761 |
"step": 292
|
1762 |
},
|
1763 |
{
|
1764 |
"epoch": 0.59,
|
1765 |
+
"learning_rate": 8.473895582329318e-05,
|
1766 |
+
"loss": 0.5396,
|
1767 |
"step": 293
|
1768 |
},
|
1769 |
{
|
1770 |
"epoch": 0.6,
|
1771 |
+
"learning_rate": 8.433734939759037e-05,
|
1772 |
+
"loss": 0.4953,
|
1773 |
"step": 294
|
1774 |
},
|
1775 |
{
|
1776 |
"epoch": 0.6,
|
1777 |
+
"learning_rate": 8.393574297188756e-05,
|
1778 |
+
"loss": 0.5412,
|
1779 |
"step": 295
|
1780 |
},
|
1781 |
{
|
1782 |
"epoch": 0.6,
|
1783 |
+
"learning_rate": 8.353413654618474e-05,
|
1784 |
+
"loss": 0.441,
|
1785 |
"step": 296
|
1786 |
},
|
1787 |
{
|
1788 |
"epoch": 0.6,
|
1789 |
+
"learning_rate": 8.313253012048194e-05,
|
1790 |
+
"loss": 0.4736,
|
1791 |
"step": 297
|
1792 |
},
|
1793 |
{
|
1794 |
"epoch": 0.6,
|
1795 |
+
"learning_rate": 8.273092369477911e-05,
|
1796 |
+
"loss": 0.502,
|
1797 |
"step": 298
|
1798 |
},
|
1799 |
{
|
1800 |
"epoch": 0.61,
|
1801 |
+
"learning_rate": 8.232931726907632e-05,
|
1802 |
+
"loss": 0.459,
|
1803 |
"step": 299
|
1804 |
},
|
1805 |
{
|
1806 |
"epoch": 0.61,
|
1807 |
+
"learning_rate": 8.192771084337349e-05,
|
1808 |
+
"loss": 0.6463,
|
1809 |
"step": 300
|
1810 |
},
|
1811 |
{
|
1812 |
"epoch": 0.61,
|
1813 |
+
"learning_rate": 8.15261044176707e-05,
|
1814 |
+
"loss": 0.476,
|
1815 |
"step": 301
|
1816 |
},
|
1817 |
{
|
1818 |
"epoch": 0.61,
|
1819 |
+
"learning_rate": 8.112449799196787e-05,
|
1820 |
+
"loss": 0.3673,
|
1821 |
"step": 302
|
1822 |
},
|
1823 |
{
|
1824 |
"epoch": 0.61,
|
1825 |
+
"learning_rate": 8.072289156626507e-05,
|
1826 |
+
"loss": 0.4755,
|
1827 |
"step": 303
|
1828 |
},
|
1829 |
{
|
1830 |
"epoch": 0.62,
|
1831 |
+
"learning_rate": 8.032128514056225e-05,
|
1832 |
+
"loss": 0.5218,
|
1833 |
"step": 304
|
1834 |
},
|
1835 |
{
|
1836 |
"epoch": 0.62,
|
1837 |
+
"learning_rate": 7.991967871485944e-05,
|
1838 |
+
"loss": 0.4963,
|
1839 |
"step": 305
|
1840 |
},
|
1841 |
{
|
1842 |
"epoch": 0.62,
|
1843 |
+
"learning_rate": 7.951807228915663e-05,
|
1844 |
+
"loss": 0.388,
|
1845 |
"step": 306
|
1846 |
},
|
1847 |
{
|
1848 |
"epoch": 0.62,
|
1849 |
+
"learning_rate": 7.911646586345382e-05,
|
1850 |
+
"loss": 0.4418,
|
1851 |
"step": 307
|
1852 |
},
|
1853 |
{
|
1854 |
"epoch": 0.62,
|
1855 |
+
"learning_rate": 7.8714859437751e-05,
|
1856 |
+
"loss": 0.4558,
|
1857 |
"step": 308
|
1858 |
},
|
1859 |
{
|
1860 |
"epoch": 0.63,
|
1861 |
+
"learning_rate": 7.83132530120482e-05,
|
1862 |
+
"loss": 0.6408,
|
1863 |
"step": 309
|
1864 |
},
|
1865 |
{
|
1866 |
"epoch": 0.63,
|
1867 |
+
"learning_rate": 7.791164658634539e-05,
|
1868 |
+
"loss": 0.4292,
|
1869 |
"step": 310
|
1870 |
},
|
1871 |
{
|
1872 |
"epoch": 0.63,
|
1873 |
+
"learning_rate": 7.751004016064257e-05,
|
1874 |
+
"loss": 0.5375,
|
1875 |
"step": 311
|
1876 |
},
|
1877 |
{
|
1878 |
"epoch": 0.63,
|
1879 |
+
"learning_rate": 7.710843373493976e-05,
|
1880 |
+
"loss": 0.489,
|
1881 |
"step": 312
|
1882 |
},
|
1883 |
{
|
1884 |
"epoch": 0.63,
|
1885 |
+
"learning_rate": 7.670682730923695e-05,
|
1886 |
+
"loss": 0.4983,
|
1887 |
"step": 313
|
1888 |
},
|
1889 |
{
|
1890 |
"epoch": 0.64,
|
1891 |
+
"learning_rate": 7.630522088353414e-05,
|
1892 |
+
"loss": 0.4975,
|
1893 |
"step": 314
|
1894 |
},
|
1895 |
{
|
1896 |
"epoch": 0.64,
|
1897 |
+
"learning_rate": 7.590361445783133e-05,
|
1898 |
+
"loss": 0.4147,
|
1899 |
"step": 315
|
1900 |
},
|
1901 |
{
|
1902 |
"epoch": 0.64,
|
1903 |
+
"learning_rate": 7.550200803212851e-05,
|
1904 |
+
"loss": 0.454,
|
1905 |
"step": 316
|
1906 |
},
|
1907 |
{
|
1908 |
"epoch": 0.64,
|
1909 |
+
"learning_rate": 7.510040160642571e-05,
|
1910 |
+
"loss": 0.4512,
|
1911 |
"step": 317
|
1912 |
},
|
1913 |
{
|
1914 |
"epoch": 0.65,
|
1915 |
+
"learning_rate": 7.469879518072289e-05,
|
1916 |
+
"loss": 0.4948,
|
1917 |
"step": 318
|
1918 |
},
|
1919 |
{
|
1920 |
"epoch": 0.65,
|
1921 |
+
"learning_rate": 7.429718875502009e-05,
|
1922 |
+
"loss": 0.4972,
|
1923 |
"step": 319
|
1924 |
},
|
1925 |
{
|
1926 |
"epoch": 0.65,
|
1927 |
+
"learning_rate": 7.389558232931726e-05,
|
1928 |
+
"loss": 0.3688,
|
1929 |
"step": 320
|
1930 |
},
|
1931 |
{
|
1932 |
"epoch": 0.65,
|
1933 |
+
"learning_rate": 7.349397590361447e-05,
|
1934 |
+
"loss": 0.652,
|
1935 |
"step": 321
|
1936 |
},
|
1937 |
{
|
1938 |
"epoch": 0.65,
|
1939 |
+
"learning_rate": 7.309236947791164e-05,
|
1940 |
+
"loss": 0.4209,
|
1941 |
"step": 322
|
1942 |
},
|
1943 |
{
|
1944 |
"epoch": 0.66,
|
1945 |
+
"learning_rate": 7.269076305220885e-05,
|
1946 |
+
"loss": 0.482,
|
1947 |
"step": 323
|
1948 |
},
|
1949 |
{
|
1950 |
"epoch": 0.66,
|
1951 |
+
"learning_rate": 7.228915662650602e-05,
|
1952 |
+
"loss": 0.5904,
|
1953 |
"step": 324
|
1954 |
},
|
1955 |
{
|
1956 |
"epoch": 0.66,
|
1957 |
+
"learning_rate": 7.188755020080321e-05,
|
1958 |
+
"loss": 0.4019,
|
1959 |
"step": 325
|
1960 |
},
|
1961 |
{
|
1962 |
"epoch": 0.66,
|
1963 |
+
"learning_rate": 7.14859437751004e-05,
|
1964 |
+
"loss": 0.5322,
|
1965 |
"step": 326
|
1966 |
},
|
1967 |
{
|
1968 |
"epoch": 0.66,
|
1969 |
+
"learning_rate": 7.108433734939759e-05,
|
1970 |
+
"loss": 0.5597,
|
1971 |
"step": 327
|
1972 |
},
|
1973 |
{
|
1974 |
"epoch": 0.67,
|
1975 |
+
"learning_rate": 7.068273092369478e-05,
|
1976 |
+
"loss": 0.4894,
|
1977 |
"step": 328
|
1978 |
},
|
1979 |
{
|
1980 |
"epoch": 0.67,
|
1981 |
+
"learning_rate": 7.028112449799197e-05,
|
1982 |
+
"loss": 0.4797,
|
1983 |
"step": 329
|
1984 |
},
|
1985 |
{
|
1986 |
"epoch": 0.67,
|
1987 |
+
"learning_rate": 6.987951807228917e-05,
|
1988 |
+
"loss": 0.395,
|
1989 |
"step": 330
|
1990 |
},
|
1991 |
{
|
1992 |
"epoch": 0.67,
|
1993 |
+
"learning_rate": 6.947791164658635e-05,
|
1994 |
+
"loss": 0.3612,
|
1995 |
"step": 331
|
1996 |
},
|
1997 |
{
|
1998 |
"epoch": 0.67,
|
1999 |
+
"learning_rate": 6.907630522088355e-05,
|
2000 |
+
"loss": 0.423,
|
2001 |
"step": 332
|
2002 |
},
|
2003 |
{
|
2004 |
"epoch": 0.68,
|
2005 |
+
"learning_rate": 6.867469879518072e-05,
|
2006 |
+
"loss": 0.6258,
|
2007 |
"step": 333
|
2008 |
},
|
2009 |
{
|
2010 |
"epoch": 0.68,
|
2011 |
+
"learning_rate": 6.827309236947793e-05,
|
2012 |
+
"loss": 0.4617,
|
2013 |
"step": 334
|
2014 |
},
|
2015 |
{
|
2016 |
"epoch": 0.68,
|
2017 |
+
"learning_rate": 6.78714859437751e-05,
|
2018 |
+
"loss": 0.4518,
|
2019 |
"step": 335
|
2020 |
},
|
2021 |
{
|
2022 |
"epoch": 0.68,
|
2023 |
+
"learning_rate": 6.746987951807229e-05,
|
2024 |
+
"loss": 0.4168,
|
2025 |
"step": 336
|
2026 |
},
|
2027 |
{
|
2028 |
"epoch": 0.68,
|
2029 |
+
"learning_rate": 6.706827309236948e-05,
|
2030 |
+
"loss": 0.4555,
|
2031 |
"step": 337
|
2032 |
},
|
2033 |
{
|
2034 |
"epoch": 0.69,
|
2035 |
+
"learning_rate": 6.666666666666667e-05,
|
2036 |
+
"loss": 0.4744,
|
2037 |
"step": 338
|
2038 |
},
|
2039 |
{
|
2040 |
"epoch": 0.69,
|
2041 |
+
"learning_rate": 6.626506024096386e-05,
|
2042 |
+
"loss": 0.453,
|
2043 |
"step": 339
|
2044 |
},
|
2045 |
{
|
2046 |
"epoch": 0.69,
|
2047 |
+
"learning_rate": 6.586345381526105e-05,
|
2048 |
+
"loss": 0.4896,
|
2049 |
"step": 340
|
2050 |
},
|
2051 |
{
|
2052 |
"epoch": 0.69,
|
2053 |
+
"learning_rate": 6.546184738955824e-05,
|
2054 |
+
"loss": 0.4241,
|
2055 |
"step": 341
|
2056 |
},
|
2057 |
{
|
2058 |
"epoch": 0.69,
|
2059 |
+
"learning_rate": 6.506024096385543e-05,
|
2060 |
+
"loss": 0.4516,
|
2061 |
"step": 342
|
2062 |
},
|
2063 |
{
|
2064 |
"epoch": 0.7,
|
2065 |
+
"learning_rate": 6.465863453815262e-05,
|
2066 |
+
"loss": 0.4736,
|
2067 |
"step": 343
|
2068 |
},
|
2069 |
{
|
2070 |
"epoch": 0.7,
|
2071 |
+
"learning_rate": 6.42570281124498e-05,
|
2072 |
+
"loss": 0.4267,
|
2073 |
"step": 344
|
2074 |
},
|
2075 |
{
|
2076 |
"epoch": 0.7,
|
2077 |
+
"learning_rate": 6.385542168674698e-05,
|
2078 |
+
"loss": 0.448,
|
2079 |
"step": 345
|
2080 |
},
|
2081 |
{
|
2082 |
"epoch": 0.7,
|
2083 |
+
"learning_rate": 6.345381526104418e-05,
|
2084 |
+
"loss": 0.4851,
|
2085 |
"step": 346
|
2086 |
},
|
2087 |
{
|
2088 |
"epoch": 0.7,
|
2089 |
+
"learning_rate": 6.305220883534136e-05,
|
2090 |
+
"loss": 0.5561,
|
2091 |
"step": 347
|
2092 |
},
|
2093 |
{
|
2094 |
"epoch": 0.71,
|
2095 |
+
"learning_rate": 6.265060240963856e-05,
|
2096 |
+
"loss": 0.4359,
|
2097 |
"step": 348
|
2098 |
},
|
2099 |
{
|
2100 |
"epoch": 0.71,
|
2101 |
+
"learning_rate": 6.224899598393574e-05,
|
2102 |
+
"loss": 0.4507,
|
2103 |
"step": 349
|
2104 |
},
|
2105 |
{
|
2106 |
"epoch": 0.71,
|
2107 |
+
"learning_rate": 6.184738955823294e-05,
|
2108 |
+
"loss": 0.4253,
|
2109 |
"step": 350
|
2110 |
},
|
2111 |
{
|
2112 |
"epoch": 0.71,
|
2113 |
+
"learning_rate": 6.144578313253012e-05,
|
2114 |
+
"loss": 0.4921,
|
2115 |
"step": 351
|
2116 |
},
|
2117 |
{
|
2118 |
"epoch": 0.71,
|
2119 |
+
"learning_rate": 6.104417670682732e-05,
|
2120 |
+
"loss": 0.469,
|
2121 |
"step": 352
|
2122 |
},
|
2123 |
{
|
2124 |
"epoch": 0.72,
|
2125 |
+
"learning_rate": 6.06425702811245e-05,
|
2126 |
+
"loss": 0.5165,
|
2127 |
"step": 353
|
2128 |
},
|
2129 |
{
|
2130 |
"epoch": 0.72,
|
2131 |
+
"learning_rate": 6.02409638554217e-05,
|
2132 |
+
"loss": 0.4878,
|
2133 |
"step": 354
|
2134 |
},
|
2135 |
{
|
2136 |
"epoch": 0.72,
|
2137 |
+
"learning_rate": 5.983935742971888e-05,
|
2138 |
+
"loss": 0.4495,
|
2139 |
"step": 355
|
2140 |
},
|
2141 |
{
|
2142 |
"epoch": 0.72,
|
2143 |
+
"learning_rate": 5.943775100401606e-05,
|
2144 |
+
"loss": 0.4517,
|
2145 |
"step": 356
|
2146 |
},
|
2147 |
{
|
2148 |
"epoch": 0.72,
|
2149 |
+
"learning_rate": 5.903614457831326e-05,
|
2150 |
+
"loss": 0.4733,
|
2151 |
"step": 357
|
2152 |
},
|
2153 |
{
|
2154 |
"epoch": 0.73,
|
2155 |
+
"learning_rate": 5.863453815261044e-05,
|
2156 |
+
"loss": 0.4265,
|
2157 |
"step": 358
|
2158 |
},
|
2159 |
{
|
2160 |
"epoch": 0.73,
|
2161 |
+
"learning_rate": 5.823293172690764e-05,
|
2162 |
+
"loss": 0.5215,
|
2163 |
"step": 359
|
2164 |
},
|
2165 |
{
|
2166 |
"epoch": 0.73,
|
2167 |
+
"learning_rate": 5.783132530120482e-05,
|
2168 |
+
"loss": 0.4302,
|
2169 |
"step": 360
|
2170 |
},
|
2171 |
{
|
2172 |
"epoch": 0.73,
|
2173 |
+
"learning_rate": 5.7429718875502015e-05,
|
2174 |
+
"loss": 0.4549,
|
2175 |
"step": 361
|
2176 |
},
|
2177 |
{
|
2178 |
"epoch": 0.73,
|
2179 |
+
"learning_rate": 5.70281124497992e-05,
|
2180 |
+
"loss": 0.5584,
|
2181 |
"step": 362
|
2182 |
},
|
2183 |
{
|
2184 |
"epoch": 0.74,
|
2185 |
+
"learning_rate": 5.6626506024096394e-05,
|
2186 |
+
"loss": 0.5008,
|
2187 |
"step": 363
|
2188 |
},
|
2189 |
{
|
2190 |
"epoch": 0.74,
|
2191 |
+
"learning_rate": 5.6224899598393576e-05,
|
2192 |
+
"loss": 0.5518,
|
2193 |
"step": 364
|
2194 |
},
|
2195 |
{
|
2196 |
"epoch": 0.74,
|
2197 |
+
"learning_rate": 5.582329317269076e-05,
|
2198 |
+
"loss": 0.4294,
|
2199 |
"step": 365
|
2200 |
},
|
2201 |
{
|
2202 |
"epoch": 0.74,
|
2203 |
+
"learning_rate": 5.5421686746987955e-05,
|
2204 |
+
"loss": 0.4513,
|
2205 |
"step": 366
|
2206 |
},
|
2207 |
{
|
2208 |
"epoch": 0.74,
|
2209 |
+
"learning_rate": 5.502008032128514e-05,
|
2210 |
+
"loss": 0.4221,
|
2211 |
"step": 367
|
2212 |
},
|
2213 |
{
|
2214 |
"epoch": 0.75,
|
2215 |
+
"learning_rate": 5.461847389558233e-05,
|
2216 |
+
"loss": 0.4586,
|
2217 |
"step": 368
|
2218 |
},
|
2219 |
{
|
2220 |
"epoch": 0.75,
|
2221 |
+
"learning_rate": 5.4216867469879516e-05,
|
2222 |
+
"loss": 0.5993,
|
2223 |
"step": 369
|
2224 |
},
|
2225 |
{
|
2226 |
"epoch": 0.75,
|
2227 |
+
"learning_rate": 5.381526104417671e-05,
|
2228 |
+
"loss": 0.4284,
|
2229 |
"step": 370
|
2230 |
},
|
2231 |
{
|
2232 |
"epoch": 0.75,
|
2233 |
+
"learning_rate": 5.3413654618473894e-05,
|
2234 |
+
"loss": 0.3946,
|
2235 |
"step": 371
|
2236 |
},
|
2237 |
{
|
2238 |
"epoch": 0.75,
|
2239 |
+
"learning_rate": 5.301204819277109e-05,
|
2240 |
+
"loss": 0.526,
|
2241 |
"step": 372
|
2242 |
},
|
2243 |
{
|
2244 |
"epoch": 0.76,
|
2245 |
+
"learning_rate": 5.261044176706827e-05,
|
2246 |
+
"loss": 0.5814,
|
2247 |
"step": 373
|
2248 |
},
|
2249 |
{
|
2250 |
"epoch": 0.76,
|
2251 |
+
"learning_rate": 5.220883534136547e-05,
|
2252 |
+
"loss": 0.4208,
|
2253 |
"step": 374
|
2254 |
},
|
2255 |
{
|
2256 |
"epoch": 0.76,
|
2257 |
+
"learning_rate": 5.180722891566265e-05,
|
2258 |
+
"loss": 0.5794,
|
2259 |
"step": 375
|
2260 |
},
|
2261 |
{
|
2262 |
"epoch": 0.76,
|
2263 |
+
"learning_rate": 5.140562248995984e-05,
|
2264 |
+
"loss": 0.5465,
|
2265 |
"step": 376
|
2266 |
},
|
2267 |
{
|
2268 |
"epoch": 0.76,
|
2269 |
+
"learning_rate": 5.100401606425703e-05,
|
2270 |
+
"loss": 0.5736,
|
2271 |
"step": 377
|
2272 |
},
|
2273 |
{
|
2274 |
"epoch": 0.77,
|
2275 |
+
"learning_rate": 5.060240963855422e-05,
|
2276 |
+
"loss": 0.3972,
|
2277 |
"step": 378
|
2278 |
},
|
2279 |
{
|
2280 |
"epoch": 0.77,
|
2281 |
+
"learning_rate": 5.020080321285141e-05,
|
2282 |
+
"loss": 0.4275,
|
2283 |
"step": 379
|
2284 |
},
|
2285 |
{
|
2286 |
"epoch": 0.77,
|
2287 |
+
"learning_rate": 4.97991967871486e-05,
|
2288 |
+
"loss": 0.4918,
|
2289 |
"step": 380
|
2290 |
},
|
2291 |
{
|
2292 |
"epoch": 0.77,
|
2293 |
+
"learning_rate": 4.9397590361445786e-05,
|
2294 |
+
"loss": 0.3725,
|
2295 |
"step": 381
|
2296 |
},
|
2297 |
{
|
2298 |
"epoch": 0.77,
|
2299 |
+
"learning_rate": 4.8995983935742975e-05,
|
2300 |
+
"loss": 0.4689,
|
2301 |
"step": 382
|
2302 |
},
|
2303 |
{
|
2304 |
"epoch": 0.78,
|
2305 |
+
"learning_rate": 4.8594377510040165e-05,
|
2306 |
+
"loss": 0.4357,
|
2307 |
"step": 383
|
2308 |
},
|
2309 |
{
|
2310 |
"epoch": 0.78,
|
2311 |
+
"learning_rate": 4.8192771084337354e-05,
|
2312 |
+
"loss": 0.5619,
|
2313 |
"step": 384
|
2314 |
},
|
2315 |
{
|
2316 |
"epoch": 0.78,
|
2317 |
+
"learning_rate": 4.779116465863454e-05,
|
2318 |
+
"loss": 0.422,
|
2319 |
"step": 385
|
2320 |
},
|
2321 |
{
|
2322 |
"epoch": 0.78,
|
2323 |
+
"learning_rate": 4.738955823293173e-05,
|
2324 |
+
"loss": 0.517,
|
2325 |
"step": 386
|
2326 |
},
|
2327 |
{
|
2328 |
"epoch": 0.78,
|
2329 |
+
"learning_rate": 4.698795180722892e-05,
|
2330 |
+
"loss": 0.38,
|
2331 |
"step": 387
|
2332 |
},
|
2333 |
{
|
2334 |
"epoch": 0.79,
|
2335 |
+
"learning_rate": 4.658634538152611e-05,
|
2336 |
+
"loss": 0.5408,
|
2337 |
"step": 388
|
2338 |
},
|
2339 |
{
|
2340 |
"epoch": 0.79,
|
2341 |
+
"learning_rate": 4.61847389558233e-05,
|
2342 |
+
"loss": 0.4982,
|
2343 |
"step": 389
|
2344 |
},
|
2345 |
{
|
2346 |
"epoch": 0.79,
|
2347 |
+
"learning_rate": 4.578313253012048e-05,
|
2348 |
+
"loss": 0.5085,
|
2349 |
"step": 390
|
2350 |
},
|
2351 |
{
|
2352 |
"epoch": 0.79,
|
2353 |
+
"learning_rate": 4.538152610441767e-05,
|
2354 |
+
"loss": 0.5275,
|
2355 |
"step": 391
|
2356 |
},
|
2357 |
{
|
2358 |
"epoch": 0.8,
|
2359 |
+
"learning_rate": 4.497991967871486e-05,
|
2360 |
+
"loss": 0.583,
|
2361 |
"step": 392
|
2362 |
},
|
2363 |
{
|
2364 |
"epoch": 0.8,
|
2365 |
+
"learning_rate": 4.457831325301205e-05,
|
2366 |
+
"loss": 0.4223,
|
2367 |
"step": 393
|
2368 |
},
|
2369 |
{
|
2370 |
"epoch": 0.8,
|
2371 |
+
"learning_rate": 4.417670682730924e-05,
|
2372 |
+
"loss": 0.3978,
|
2373 |
"step": 394
|
2374 |
},
|
2375 |
{
|
2376 |
"epoch": 0.8,
|
2377 |
+
"learning_rate": 4.377510040160643e-05,
|
2378 |
+
"loss": 0.46,
|
2379 |
"step": 395
|
2380 |
},
|
2381 |
{
|
2382 |
"epoch": 0.8,
|
2383 |
+
"learning_rate": 4.337349397590362e-05,
|
2384 |
+
"loss": 0.4327,
|
2385 |
"step": 396
|
2386 |
},
|
2387 |
{
|
2388 |
"epoch": 0.81,
|
2389 |
+
"learning_rate": 4.297188755020081e-05,
|
2390 |
+
"loss": 0.4635,
|
2391 |
"step": 397
|
2392 |
},
|
2393 |
{
|
2394 |
"epoch": 0.81,
|
2395 |
+
"learning_rate": 4.2570281124497996e-05,
|
2396 |
+
"loss": 0.4616,
|
2397 |
"step": 398
|
2398 |
},
|
2399 |
{
|
2400 |
"epoch": 0.81,
|
2401 |
+
"learning_rate": 4.2168674698795186e-05,
|
2402 |
+
"loss": 0.493,
|
2403 |
"step": 399
|
2404 |
},
|
2405 |
{
|
2406 |
"epoch": 0.81,
|
2407 |
+
"learning_rate": 4.176706827309237e-05,
|
2408 |
+
"loss": 0.4173,
|
2409 |
"step": 400
|
2410 |
},
|
2411 |
{
|
2412 |
"epoch": 0.81,
|
2413 |
+
"learning_rate": 4.136546184738956e-05,
|
2414 |
+
"loss": 0.3762,
|
2415 |
"step": 401
|
2416 |
},
|
2417 |
{
|
2418 |
"epoch": 0.82,
|
2419 |
+
"learning_rate": 4.0963855421686746e-05,
|
2420 |
+
"loss": 0.6041,
|
2421 |
"step": 402
|
2422 |
},
|
2423 |
{
|
2424 |
"epoch": 0.82,
|
2425 |
+
"learning_rate": 4.0562248995983936e-05,
|
2426 |
+
"loss": 0.3642,
|
2427 |
"step": 403
|
2428 |
},
|
2429 |
{
|
2430 |
"epoch": 0.82,
|
2431 |
+
"learning_rate": 4.0160642570281125e-05,
|
2432 |
+
"loss": 0.4811,
|
2433 |
"step": 404
|
2434 |
},
|
2435 |
{
|
2436 |
"epoch": 0.82,
|
2437 |
+
"learning_rate": 3.9759036144578314e-05,
|
2438 |
+
"loss": 0.5519,
|
2439 |
"step": 405
|
2440 |
},
|
2441 |
{
|
2442 |
"epoch": 0.82,
|
2443 |
+
"learning_rate": 3.93574297188755e-05,
|
2444 |
+
"loss": 0.4675,
|
2445 |
"step": 406
|
2446 |
},
|
2447 |
{
|
2448 |
"epoch": 0.83,
|
2449 |
+
"learning_rate": 3.895582329317269e-05,
|
2450 |
+
"loss": 0.3397,
|
2451 |
"step": 407
|
2452 |
},
|
2453 |
{
|
2454 |
"epoch": 0.83,
|
2455 |
+
"learning_rate": 3.855421686746988e-05,
|
2456 |
+
"loss": 0.4192,
|
2457 |
"step": 408
|
2458 |
},
|
2459 |
{
|
2460 |
"epoch": 0.83,
|
2461 |
+
"learning_rate": 3.815261044176707e-05,
|
2462 |
+
"loss": 0.507,
|
2463 |
"step": 409
|
2464 |
},
|
2465 |
{
|
2466 |
"epoch": 0.83,
|
2467 |
+
"learning_rate": 3.7751004016064253e-05,
|
2468 |
+
"loss": 0.4024,
|
2469 |
"step": 410
|
2470 |
},
|
2471 |
{
|
2472 |
"epoch": 0.83,
|
2473 |
+
"learning_rate": 3.734939759036144e-05,
|
2474 |
+
"loss": 0.4753,
|
2475 |
"step": 411
|
2476 |
},
|
2477 |
{
|
2478 |
"epoch": 0.84,
|
2479 |
+
"learning_rate": 3.694779116465863e-05,
|
2480 |
+
"loss": 0.489,
|
2481 |
"step": 412
|
2482 |
},
|
2483 |
{
|
2484 |
"epoch": 0.84,
|
2485 |
+
"learning_rate": 3.654618473895582e-05,
|
2486 |
+
"loss": 0.5496,
|
2487 |
"step": 413
|
2488 |
},
|
2489 |
{
|
2490 |
"epoch": 0.84,
|
2491 |
+
"learning_rate": 3.614457831325301e-05,
|
2492 |
+
"loss": 0.3261,
|
2493 |
"step": 414
|
2494 |
},
|
2495 |
{
|
2496 |
"epoch": 0.84,
|
2497 |
+
"learning_rate": 3.57429718875502e-05,
|
2498 |
+
"loss": 0.3958,
|
2499 |
"step": 415
|
2500 |
},
|
2501 |
{
|
2502 |
"epoch": 0.84,
|
2503 |
+
"learning_rate": 3.534136546184739e-05,
|
2504 |
+
"loss": 0.5015,
|
2505 |
"step": 416
|
2506 |
},
|
2507 |
{
|
2508 |
"epoch": 0.85,
|
2509 |
+
"learning_rate": 3.4939759036144585e-05,
|
2510 |
+
"loss": 0.4502,
|
2511 |
"step": 417
|
2512 |
},
|
2513 |
{
|
2514 |
"epoch": 0.85,
|
2515 |
+
"learning_rate": 3.4538152610441774e-05,
|
2516 |
+
"loss": 0.5057,
|
2517 |
"step": 418
|
2518 |
},
|
2519 |
{
|
2520 |
"epoch": 0.85,
|
2521 |
+
"learning_rate": 3.413654618473896e-05,
|
2522 |
+
"loss": 0.405,
|
2523 |
"step": 419
|
2524 |
},
|
2525 |
{
|
2526 |
"epoch": 0.85,
|
2527 |
+
"learning_rate": 3.3734939759036146e-05,
|
2528 |
+
"loss": 0.3629,
|
2529 |
"step": 420
|
2530 |
},
|
2531 |
{
|
2532 |
"epoch": 0.85,
|
2533 |
+
"learning_rate": 3.3333333333333335e-05,
|
2534 |
+
"loss": 0.5095,
|
2535 |
"step": 421
|
2536 |
},
|
2537 |
{
|
2538 |
"epoch": 0.86,
|
2539 |
+
"learning_rate": 3.2931726907630524e-05,
|
2540 |
+
"loss": 0.4017,
|
2541 |
"step": 422
|
2542 |
},
|
2543 |
{
|
2544 |
"epoch": 0.86,
|
2545 |
+
"learning_rate": 3.253012048192771e-05,
|
2546 |
+
"loss": 0.5238,
|
2547 |
"step": 423
|
2548 |
},
|
2549 |
{
|
2550 |
"epoch": 0.86,
|
2551 |
+
"learning_rate": 3.21285140562249e-05,
|
2552 |
+
"loss": 0.5054,
|
2553 |
"step": 424
|
2554 |
},
|
2555 |
{
|
2556 |
"epoch": 0.86,
|
2557 |
+
"learning_rate": 3.172690763052209e-05,
|
2558 |
+
"loss": 0.5104,
|
2559 |
"step": 425
|
2560 |
},
|
2561 |
{
|
2562 |
"epoch": 0.86,
|
2563 |
+
"learning_rate": 3.132530120481928e-05,
|
2564 |
+
"loss": 0.5683,
|
2565 |
"step": 426
|
2566 |
},
|
2567 |
{
|
2568 |
"epoch": 0.87,
|
2569 |
+
"learning_rate": 3.092369477911647e-05,
|
2570 |
+
"loss": 0.4381,
|
2571 |
"step": 427
|
2572 |
},
|
2573 |
{
|
2574 |
"epoch": 0.87,
|
2575 |
+
"learning_rate": 3.052208835341366e-05,
|
2576 |
+
"loss": 0.3411,
|
2577 |
"step": 428
|
2578 |
},
|
2579 |
{
|
2580 |
"epoch": 0.87,
|
2581 |
+
"learning_rate": 3.012048192771085e-05,
|
2582 |
+
"loss": 0.4983,
|
2583 |
"step": 429
|
2584 |
},
|
2585 |
{
|
2586 |
"epoch": 0.87,
|
2587 |
+
"learning_rate": 2.971887550200803e-05,
|
2588 |
+
"loss": 0.5935,
|
2589 |
"step": 430
|
2590 |
},
|
2591 |
{
|
2592 |
"epoch": 0.87,
|
2593 |
+
"learning_rate": 2.931726907630522e-05,
|
2594 |
+
"loss": 0.4499,
|
2595 |
"step": 431
|
2596 |
},
|
2597 |
{
|
2598 |
"epoch": 0.88,
|
2599 |
+
"learning_rate": 2.891566265060241e-05,
|
2600 |
+
"loss": 0.4653,
|
2601 |
"step": 432
|
2602 |
},
|
2603 |
{
|
2604 |
"epoch": 0.88,
|
2605 |
+
"learning_rate": 2.85140562248996e-05,
|
2606 |
+
"loss": 0.4165,
|
2607 |
"step": 433
|
2608 |
},
|
2609 |
{
|
2610 |
"epoch": 0.88,
|
2611 |
+
"learning_rate": 2.8112449799196788e-05,
|
2612 |
+
"loss": 0.4763,
|
2613 |
"step": 434
|
2614 |
},
|
2615 |
{
|
2616 |
"epoch": 0.88,
|
2617 |
+
"learning_rate": 2.7710843373493977e-05,
|
2618 |
+
"loss": 0.548,
|
2619 |
"step": 435
|
2620 |
},
|
2621 |
{
|
2622 |
"epoch": 0.88,
|
2623 |
+
"learning_rate": 2.7309236947791167e-05,
|
2624 |
+
"loss": 0.5539,
|
2625 |
"step": 436
|
2626 |
},
|
2627 |
{
|
2628 |
"epoch": 0.89,
|
2629 |
+
"learning_rate": 2.6907630522088356e-05,
|
2630 |
+
"loss": 0.49,
|
2631 |
"step": 437
|
2632 |
},
|
2633 |
{
|
2634 |
"epoch": 0.89,
|
2635 |
+
"learning_rate": 2.6506024096385545e-05,
|
2636 |
+
"loss": 0.5338,
|
2637 |
"step": 438
|
2638 |
},
|
2639 |
{
|
2640 |
"epoch": 0.89,
|
2641 |
+
"learning_rate": 2.6104417670682734e-05,
|
2642 |
+
"loss": 0.3611,
|
2643 |
"step": 439
|
2644 |
},
|
2645 |
{
|
2646 |
"epoch": 0.89,
|
2647 |
+
"learning_rate": 2.570281124497992e-05,
|
2648 |
+
"loss": 0.4707,
|
2649 |
"step": 440
|
2650 |
},
|
2651 |
{
|
2652 |
"epoch": 0.89,
|
2653 |
+
"learning_rate": 2.530120481927711e-05,
|
2654 |
+
"loss": 0.5268,
|
2655 |
"step": 441
|
2656 |
},
|
2657 |
{
|
2658 |
"epoch": 0.9,
|
2659 |
+
"learning_rate": 2.48995983935743e-05,
|
2660 |
+
"loss": 0.5854,
|
2661 |
"step": 442
|
2662 |
},
|
2663 |
{
|
2664 |
"epoch": 0.9,
|
2665 |
+
"learning_rate": 2.4497991967871488e-05,
|
2666 |
+
"loss": 0.5126,
|
2667 |
"step": 443
|
2668 |
},
|
2669 |
{
|
2670 |
"epoch": 0.9,
|
2671 |
+
"learning_rate": 2.4096385542168677e-05,
|
2672 |
+
"loss": 0.4192,
|
2673 |
"step": 444
|
2674 |
},
|
2675 |
{
|
2676 |
"epoch": 0.9,
|
2677 |
+
"learning_rate": 2.3694779116465866e-05,
|
2678 |
+
"loss": 0.3792,
|
2679 |
"step": 445
|
2680 |
},
|
2681 |
{
|
2682 |
"epoch": 0.9,
|
2683 |
+
"learning_rate": 2.3293172690763055e-05,
|
2684 |
+
"loss": 0.3348,
|
2685 |
"step": 446
|
2686 |
},
|
2687 |
{
|
2688 |
"epoch": 0.91,
|
2689 |
+
"learning_rate": 2.289156626506024e-05,
|
2690 |
+
"loss": 0.5458,
|
2691 |
"step": 447
|
2692 |
},
|
2693 |
{
|
2694 |
"epoch": 0.91,
|
2695 |
+
"learning_rate": 2.248995983935743e-05,
|
2696 |
+
"loss": 0.5158,
|
2697 |
"step": 448
|
2698 |
},
|
2699 |
{
|
2700 |
"epoch": 0.91,
|
2701 |
+
"learning_rate": 2.208835341365462e-05,
|
2702 |
+
"loss": 0.4395,
|
2703 |
"step": 449
|
2704 |
},
|
2705 |
{
|
2706 |
"epoch": 0.91,
|
2707 |
+
"learning_rate": 2.168674698795181e-05,
|
2708 |
+
"loss": 0.4672,
|
2709 |
"step": 450
|
2710 |
},
|
2711 |
{
|
2712 |
"epoch": 0.91,
|
2713 |
+
"learning_rate": 2.1285140562248998e-05,
|
2714 |
+
"loss": 0.4106,
|
2715 |
"step": 451
|
2716 |
},
|
2717 |
{
|
2718 |
"epoch": 0.92,
|
2719 |
+
"learning_rate": 2.0883534136546184e-05,
|
2720 |
+
"loss": 0.4594,
|
2721 |
"step": 452
|
2722 |
},
|
2723 |
{
|
2724 |
"epoch": 0.92,
|
2725 |
+
"learning_rate": 2.0481927710843373e-05,
|
2726 |
+
"loss": 0.4819,
|
2727 |
"step": 453
|
2728 |
},
|
2729 |
{
|
2730 |
"epoch": 0.92,
|
2731 |
+
"learning_rate": 2.0080321285140562e-05,
|
2732 |
+
"loss": 0.4699,
|
2733 |
"step": 454
|
2734 |
},
|
2735 |
{
|
2736 |
"epoch": 0.92,
|
2737 |
+
"learning_rate": 1.967871485943775e-05,
|
2738 |
+
"loss": 0.5291,
|
2739 |
"step": 455
|
2740 |
},
|
2741 |
{
|
2742 |
"epoch": 0.92,
|
2743 |
+
"learning_rate": 1.927710843373494e-05,
|
2744 |
+
"loss": 0.3946,
|
2745 |
"step": 456
|
2746 |
},
|
2747 |
{
|
2748 |
"epoch": 0.93,
|
2749 |
+
"learning_rate": 1.8875502008032127e-05,
|
2750 |
+
"loss": 0.4366,
|
2751 |
"step": 457
|
2752 |
},
|
2753 |
{
|
2754 |
"epoch": 0.93,
|
2755 |
+
"learning_rate": 1.8473895582329316e-05,
|
2756 |
+
"loss": 0.405,
|
2757 |
"step": 458
|
2758 |
},
|
2759 |
{
|
2760 |
"epoch": 0.93,
|
2761 |
+
"learning_rate": 1.8072289156626505e-05,
|
2762 |
+
"loss": 0.4309,
|
2763 |
"step": 459
|
2764 |
},
|
2765 |
{
|
2766 |
"epoch": 0.93,
|
2767 |
+
"learning_rate": 1.7670682730923694e-05,
|
2768 |
+
"loss": 0.4395,
|
2769 |
"step": 460
|
2770 |
},
|
2771 |
{
|
2772 |
"epoch": 0.94,
|
2773 |
+
"learning_rate": 1.7269076305220887e-05,
|
2774 |
+
"loss": 0.3887,
|
2775 |
"step": 461
|
2776 |
},
|
2777 |
{
|
2778 |
"epoch": 0.94,
|
2779 |
+
"learning_rate": 1.6867469879518073e-05,
|
2780 |
+
"loss": 0.4208,
|
2781 |
"step": 462
|
2782 |
},
|
2783 |
{
|
2784 |
"epoch": 0.94,
|
2785 |
+
"learning_rate": 1.6465863453815262e-05,
|
2786 |
+
"loss": 0.4555,
|
2787 |
"step": 463
|
2788 |
},
|
2789 |
{
|
2790 |
"epoch": 0.94,
|
2791 |
+
"learning_rate": 1.606425702811245e-05,
|
2792 |
+
"loss": 0.4111,
|
2793 |
"step": 464
|
2794 |
},
|
2795 |
{
|
2796 |
"epoch": 0.94,
|
2797 |
+
"learning_rate": 1.566265060240964e-05,
|
2798 |
+
"loss": 0.527,
|
2799 |
"step": 465
|
2800 |
},
|
2801 |
{
|
2802 |
"epoch": 0.95,
|
2803 |
+
"learning_rate": 1.526104417670683e-05,
|
2804 |
+
"loss": 0.5546,
|
2805 |
"step": 466
|
2806 |
},
|
2807 |
{
|
2808 |
"epoch": 0.95,
|
2809 |
+
"learning_rate": 1.4859437751004016e-05,
|
2810 |
+
"loss": 0.4826,
|
2811 |
"step": 467
|
2812 |
},
|
2813 |
{
|
2814 |
"epoch": 0.95,
|
2815 |
+
"learning_rate": 1.4457831325301205e-05,
|
2816 |
+
"loss": 0.4615,
|
2817 |
"step": 468
|
2818 |
},
|
2819 |
{
|
2820 |
"epoch": 0.95,
|
2821 |
+
"learning_rate": 1.4056224899598394e-05,
|
2822 |
+
"loss": 0.3488,
|
2823 |
"step": 469
|
2824 |
},
|
2825 |
{
|
2826 |
"epoch": 0.95,
|
2827 |
+
"learning_rate": 1.3654618473895583e-05,
|
2828 |
+
"loss": 0.4609,
|
2829 |
"step": 470
|
2830 |
},
|
2831 |
{
|
2832 |
"epoch": 0.96,
|
2833 |
+
"learning_rate": 1.3253012048192772e-05,
|
2834 |
+
"loss": 0.5662,
|
2835 |
"step": 471
|
2836 |
},
|
2837 |
{
|
2838 |
"epoch": 0.96,
|
2839 |
+
"learning_rate": 1.285140562248996e-05,
|
2840 |
+
"loss": 0.4465,
|
2841 |
"step": 472
|
2842 |
},
|
2843 |
{
|
2844 |
"epoch": 0.96,
|
2845 |
+
"learning_rate": 1.244979919678715e-05,
|
2846 |
+
"loss": 0.4034,
|
2847 |
"step": 473
|
2848 |
},
|
2849 |
{
|
2850 |
"epoch": 0.96,
|
2851 |
+
"learning_rate": 1.2048192771084338e-05,
|
2852 |
+
"loss": 0.5641,
|
2853 |
"step": 474
|
2854 |
},
|
2855 |
{
|
2856 |
"epoch": 0.96,
|
2857 |
+
"learning_rate": 1.1646586345381528e-05,
|
2858 |
+
"loss": 0.3677,
|
2859 |
"step": 475
|
2860 |
},
|
2861 |
{
|
2862 |
"epoch": 0.97,
|
2863 |
+
"learning_rate": 1.1244979919678715e-05,
|
2864 |
+
"loss": 0.4641,
|
2865 |
"step": 476
|
2866 |
},
|
2867 |
{
|
2868 |
"epoch": 0.97,
|
2869 |
+
"learning_rate": 1.0843373493975904e-05,
|
2870 |
+
"loss": 0.418,
|
2871 |
"step": 477
|
2872 |
},
|
2873 |
{
|
2874 |
"epoch": 0.97,
|
2875 |
+
"learning_rate": 1.0441767068273092e-05,
|
2876 |
+
"loss": 0.6101,
|
2877 |
"step": 478
|
2878 |
},
|
2879 |
{
|
2880 |
"epoch": 0.97,
|
2881 |
+
"learning_rate": 1.0040160642570281e-05,
|
2882 |
+
"loss": 0.3983,
|
2883 |
"step": 479
|
2884 |
},
|
2885 |
{
|
2886 |
"epoch": 0.97,
|
2887 |
+
"learning_rate": 9.63855421686747e-06,
|
2888 |
+
"loss": 0.483,
|
2889 |
"step": 480
|
2890 |
},
|
2891 |
{
|
2892 |
"epoch": 0.98,
|
2893 |
+
"learning_rate": 9.236947791164658e-06,
|
2894 |
+
"loss": 0.5455,
|
2895 |
"step": 481
|
2896 |
},
|
2897 |
{
|
2898 |
"epoch": 0.98,
|
2899 |
+
"learning_rate": 8.835341365461847e-06,
|
2900 |
+
"loss": 0.4421,
|
2901 |
"step": 482
|
2902 |
},
|
2903 |
{
|
2904 |
"epoch": 0.98,
|
2905 |
+
"learning_rate": 8.433734939759036e-06,
|
2906 |
+
"loss": 0.4869,
|
2907 |
"step": 483
|
2908 |
},
|
2909 |
{
|
2910 |
"epoch": 0.98,
|
2911 |
+
"learning_rate": 8.032128514056226e-06,
|
2912 |
+
"loss": 0.4239,
|
2913 |
"step": 484
|
2914 |
},
|
2915 |
{
|
2916 |
"epoch": 0.98,
|
2917 |
+
"learning_rate": 7.630522088353415e-06,
|
2918 |
+
"loss": 0.368,
|
2919 |
"step": 485
|
2920 |
},
|
2921 |
{
|
2922 |
"epoch": 0.99,
|
2923 |
+
"learning_rate": 7.228915662650602e-06,
|
2924 |
+
"loss": 0.4092,
|
2925 |
"step": 486
|
2926 |
},
|
2927 |
{
|
2928 |
"epoch": 0.99,
|
2929 |
+
"learning_rate": 6.827309236947792e-06,
|
2930 |
+
"loss": 0.4514,
|
2931 |
"step": 487
|
2932 |
},
|
2933 |
{
|
2934 |
"epoch": 0.99,
|
2935 |
+
"learning_rate": 6.42570281124498e-06,
|
2936 |
+
"loss": 0.4038,
|
2937 |
"step": 488
|
2938 |
},
|
2939 |
{
|
2940 |
"epoch": 0.99,
|
2941 |
+
"learning_rate": 6.024096385542169e-06,
|
2942 |
+
"loss": 0.4729,
|
2943 |
"step": 489
|
2944 |
},
|
2945 |
{
|
2946 |
"epoch": 0.99,
|
2947 |
+
"learning_rate": 5.622489959839358e-06,
|
2948 |
+
"loss": 0.4279,
|
2949 |
"step": 490
|
2950 |
},
|
2951 |
{
|
2952 |
"epoch": 1.0,
|
2953 |
+
"learning_rate": 5.220883534136546e-06,
|
2954 |
+
"loss": 0.503,
|
2955 |
"step": 491
|
2956 |
},
|
2957 |
{
|
2958 |
"epoch": 1.0,
|
2959 |
+
"learning_rate": 4.819277108433735e-06,
|
2960 |
+
"loss": 0.5054,
|
2961 |
"step": 492
|
2962 |
},
|
2963 |
{
|
2964 |
"epoch": 1.0,
|
2965 |
+
"learning_rate": 4.417670682730924e-06,
|
2966 |
+
"loss": 0.4004,
|
2967 |
"step": 493
|
2968 |
}
|
2969 |
],
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4792
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:87e8ef629ca2860a95f9bf5b4cf0ba89621d3655ea2b6276da05d2241a429443
|
3 |
size 4792
|