Commit
•
1be04f9
1
Parent(s):
c5516e0
End of training
Browse files- all_results.json +8 -8
- eval_results.json +4 -4
- runs/Feb26_15-29-49_sanchit--v100/events.out.tfevents.1645895147.sanchit--v100.203992.2 +3 -0
- train_results.json +4 -4
- trainer_state.json +851 -2642
all_results.json
CHANGED
@@ -1,14 +1,14 @@
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
-
"eval_loss": 4.
|
4 |
-
"eval_runtime":
|
5 |
"eval_samples": 2642,
|
6 |
-
"eval_samples_per_second": 2.
|
7 |
"eval_steps_per_second": 0.245,
|
8 |
-
"eval_wer": 2.
|
9 |
-
"train_loss": 4.
|
10 |
-
"train_runtime":
|
11 |
"train_samples": 28538,
|
12 |
-
"train_samples_per_second":
|
13 |
-
"train_steps_per_second": 0.
|
14 |
}
|
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
+
"eval_loss": 4.804400444030762,
|
4 |
+
"eval_runtime": 902.131,
|
5 |
"eval_samples": 2642,
|
6 |
+
"eval_samples_per_second": 2.929,
|
7 |
"eval_steps_per_second": 0.245,
|
8 |
+
"eval_wer": 2.364081713605712,
|
9 |
+
"train_loss": 4.473529295487837,
|
10 |
+
"train_runtime": 4542.6558,
|
11 |
"train_samples": 28538,
|
12 |
+
"train_samples_per_second": 6.282,
|
13 |
+
"train_steps_per_second": 0.065
|
14 |
}
|
eval_results.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
-
"eval_loss": 4.
|
4 |
-
"eval_runtime":
|
5 |
"eval_samples": 2642,
|
6 |
-
"eval_samples_per_second": 2.
|
7 |
"eval_steps_per_second": 0.245,
|
8 |
-
"eval_wer": 2.
|
9 |
}
|
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
+
"eval_loss": 4.804400444030762,
|
4 |
+
"eval_runtime": 902.131,
|
5 |
"eval_samples": 2642,
|
6 |
+
"eval_samples_per_second": 2.929,
|
7 |
"eval_steps_per_second": 0.245,
|
8 |
+
"eval_wer": 2.364081713605712
|
9 |
}
|
runs/Feb26_15-29-49_sanchit--v100/events.out.tfevents.1645895147.sanchit--v100.203992.2
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2620999f5dee571505940557287f2fa29c788fdddb627a3c79c88fcda3856ed9
|
3 |
+
size 358
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
-
"train_loss": 4.
|
4 |
-
"train_runtime":
|
5 |
"train_samples": 28538,
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
+
"train_loss": 4.473529295487837,
|
4 |
+
"train_runtime": 4542.6558,
|
5 |
"train_samples": 28538,
|
6 |
+
"train_samples_per_second": 6.282,
|
7 |
+
"train_steps_per_second": 0.065
|
8 |
}
|
trainer_state.json
CHANGED
@@ -2,3595 +2,1804 @@
|
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
"epoch": 0.9987389659520807,
|
5 |
-
"global_step":
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
9 |
"log_history": [
|
10 |
{
|
11 |
"epoch": 0.0,
|
12 |
-
"learning_rate":
|
13 |
-
"loss": 4.
|
14 |
"step": 1
|
15 |
},
|
16 |
{
|
17 |
-
"epoch": 0.
|
18 |
-
"learning_rate":
|
19 |
-
"loss": 4.
|
20 |
"step": 2
|
21 |
},
|
22 |
{
|
23 |
"epoch": 0.01,
|
24 |
-
"learning_rate":
|
25 |
-
"loss": 4.
|
26 |
"step": 3
|
27 |
},
|
28 |
{
|
29 |
"epoch": 0.01,
|
30 |
-
"learning_rate":
|
31 |
-
"loss": 4.
|
32 |
"step": 4
|
33 |
},
|
34 |
{
|
35 |
-
"epoch": 0.
|
36 |
-
"learning_rate":
|
37 |
-
"loss": 4.
|
38 |
"step": 5
|
39 |
},
|
40 |
{
|
41 |
-
"epoch": 0.
|
42 |
"learning_rate": 1e-05,
|
43 |
-
"loss": 4.
|
44 |
"step": 6
|
45 |
},
|
46 |
{
|
47 |
-
"epoch": 0.
|
48 |
"learning_rate": 1.2e-05,
|
49 |
-
"loss": 4.
|
50 |
"step": 7
|
51 |
},
|
52 |
{
|
53 |
-
"epoch": 0.
|
54 |
"learning_rate": 1.4e-05,
|
55 |
-
"loss": 4.
|
56 |
"step": 8
|
57 |
},
|
58 |
{
|
59 |
-
"epoch": 0.
|
60 |
"learning_rate": 1.6e-05,
|
61 |
-
"loss": 4.
|
62 |
"step": 9
|
63 |
},
|
64 |
{
|
65 |
-
"epoch": 0.
|
66 |
"learning_rate": 1.8e-05,
|
67 |
-
"loss": 4.
|
68 |
"step": 10
|
69 |
},
|
70 |
{
|
71 |
-
"epoch": 0.
|
72 |
"learning_rate": 2e-05,
|
73 |
-
"loss": 4.
|
74 |
"step": 11
|
75 |
},
|
76 |
{
|
77 |
-
"epoch": 0.
|
78 |
"learning_rate": 2.2e-05,
|
79 |
-
"loss": 4.
|
80 |
"step": 12
|
81 |
},
|
82 |
{
|
83 |
-
"epoch": 0.
|
84 |
"learning_rate": 2.4e-05,
|
85 |
-
"loss": 4.
|
86 |
"step": 13
|
87 |
},
|
88 |
{
|
89 |
-
"epoch": 0.
|
90 |
"learning_rate": 2.6e-05,
|
91 |
-
"loss": 4.
|
92 |
"step": 14
|
93 |
},
|
94 |
{
|
95 |
-
"epoch": 0.
|
96 |
"learning_rate": 2.8e-05,
|
97 |
-
"loss": 4.
|
98 |
"step": 15
|
99 |
},
|
100 |
{
|
101 |
-
"epoch": 0.
|
102 |
"learning_rate": 3e-05,
|
103 |
-
"loss": 4.
|
104 |
"step": 16
|
105 |
},
|
106 |
{
|
107 |
-
"epoch": 0.
|
108 |
"learning_rate": 3.2e-05,
|
109 |
-
"loss": 4.
|
110 |
"step": 17
|
111 |
},
|
112 |
{
|
113 |
-
"epoch": 0.
|
114 |
"learning_rate": 3.4000000000000007e-05,
|
115 |
-
"loss": 4.
|
116 |
"step": 18
|
117 |
},
|
118 |
{
|
119 |
-
"epoch": 0.
|
120 |
"learning_rate": 3.6e-05,
|
121 |
-
"loss": 4.
|
122 |
"step": 19
|
123 |
},
|
124 |
{
|
125 |
-
"epoch": 0.
|
126 |
"learning_rate": 3.8e-05,
|
127 |
-
"loss": 4.
|
128 |
"step": 20
|
129 |
},
|
130 |
{
|
131 |
-
"epoch": 0.
|
132 |
"learning_rate": 4e-05,
|
133 |
-
"loss": 4.
|
134 |
"step": 21
|
135 |
},
|
136 |
{
|
137 |
-
"epoch": 0.
|
138 |
"learning_rate": 4.2000000000000004e-05,
|
139 |
-
"loss": 4.
|
140 |
"step": 22
|
141 |
},
|
142 |
{
|
143 |
-
"epoch": 0.
|
144 |
"learning_rate": 4.4e-05,
|
145 |
-
"loss": 4.
|
146 |
"step": 23
|
147 |
},
|
148 |
{
|
149 |
-
"epoch": 0.
|
150 |
"learning_rate": 4.6e-05,
|
151 |
-
"loss": 4.
|
152 |
"step": 24
|
153 |
},
|
154 |
{
|
155 |
-
"epoch": 0.
|
156 |
"learning_rate": 4.8e-05,
|
157 |
-
"loss": 4.
|
158 |
"step": 25
|
159 |
},
|
160 |
{
|
161 |
-
"epoch": 0.
|
162 |
"learning_rate": 5e-05,
|
163 |
-
"loss": 4.
|
164 |
"step": 26
|
165 |
},
|
166 |
{
|
167 |
-
"epoch": 0.
|
168 |
"learning_rate": 5.2e-05,
|
169 |
-
"loss": 4.
|
170 |
"step": 27
|
171 |
},
|
172 |
{
|
173 |
-
"epoch": 0.
|
174 |
"learning_rate": 5.4e-05,
|
175 |
-
"loss": 4.
|
176 |
"step": 28
|
177 |
},
|
178 |
{
|
179 |
-
"epoch": 0.
|
180 |
"learning_rate": 5.6e-05,
|
181 |
-
"loss": 4.
|
182 |
"step": 29
|
183 |
},
|
184 |
{
|
185 |
-
"epoch": 0.
|
186 |
"learning_rate": 5.800000000000001e-05,
|
187 |
-
"loss": 4.
|
188 |
"step": 30
|
189 |
},
|
190 |
{
|
191 |
-
"epoch": 0.
|
192 |
"learning_rate": 6e-05,
|
193 |
-
"loss": 4.
|
194 |
"step": 31
|
195 |
},
|
196 |
{
|
197 |
-
"epoch": 0.
|
198 |
"learning_rate": 6.2e-05,
|
199 |
-
"loss": 4.
|
200 |
"step": 32
|
201 |
},
|
202 |
{
|
203 |
-
"epoch": 0.
|
204 |
"learning_rate": 6.4e-05,
|
205 |
-
"loss": 4.
|
206 |
"step": 33
|
207 |
},
|
208 |
{
|
209 |
-
"epoch": 0.
|
210 |
"learning_rate": 6.6e-05,
|
211 |
-
"loss": 4.
|
212 |
"step": 34
|
213 |
},
|
214 |
{
|
215 |
-
"epoch": 0.
|
216 |
"learning_rate": 6.800000000000001e-05,
|
217 |
-
"loss": 4.
|
218 |
"step": 35
|
219 |
},
|
220 |
{
|
221 |
-
"epoch": 0.
|
222 |
"learning_rate": 7.000000000000001e-05,
|
223 |
-
"loss": 4.
|
224 |
"step": 36
|
225 |
},
|
226 |
{
|
227 |
-
"epoch": 0.
|
228 |
"learning_rate": 7.2e-05,
|
229 |
-
"loss": 4.
|
230 |
"step": 37
|
231 |
},
|
232 |
{
|
233 |
-
"epoch": 0.
|
234 |
"learning_rate": 7.4e-05,
|
235 |
-
"loss": 4.
|
236 |
"step": 38
|
237 |
},
|
238 |
{
|
239 |
-
"epoch": 0.
|
240 |
"learning_rate": 7.6e-05,
|
241 |
-
"loss": 4.
|
242 |
"step": 39
|
243 |
},
|
244 |
{
|
245 |
-
"epoch": 0.
|
246 |
"learning_rate": 7.8e-05,
|
247 |
-
"loss": 4.
|
248 |
"step": 40
|
249 |
},
|
250 |
{
|
251 |
-
"epoch": 0.
|
252 |
"learning_rate": 8e-05,
|
253 |
-
"loss": 4.
|
254 |
"step": 41
|
255 |
},
|
256 |
{
|
257 |
-
"epoch": 0.
|
258 |
"learning_rate": 8.2e-05,
|
259 |
-
"loss": 4.
|
260 |
"step": 42
|
261 |
},
|
262 |
{
|
263 |
-
"epoch": 0.
|
264 |
"learning_rate": 8.400000000000001e-05,
|
265 |
-
"loss": 4.
|
266 |
"step": 43
|
267 |
},
|
268 |
{
|
269 |
-
"epoch": 0.
|
270 |
"learning_rate": 8.599999999999999e-05,
|
271 |
-
"loss": 4.
|
272 |
"step": 44
|
273 |
},
|
274 |
{
|
275 |
-
"epoch": 0.
|
276 |
"learning_rate": 8.8e-05,
|
277 |
-
"loss": 4.
|
278 |
"step": 45
|
279 |
},
|
280 |
{
|
281 |
-
"epoch": 0.
|
282 |
"learning_rate": 8.999999999999999e-05,
|
283 |
-
"loss": 4.
|
284 |
"step": 46
|
285 |
},
|
286 |
{
|
287 |
-
"epoch": 0.
|
288 |
"learning_rate": 9.2e-05,
|
289 |
-
"loss": 4.
|
290 |
"step": 47
|
291 |
},
|
292 |
{
|
293 |
-
"epoch": 0.
|
294 |
"learning_rate": 9.400000000000001e-05,
|
295 |
-
"loss": 4.
|
296 |
"step": 48
|
297 |
},
|
298 |
{
|
299 |
-
"epoch": 0.
|
300 |
"learning_rate": 9.6e-05,
|
301 |
-
"loss": 4.
|
302 |
"step": 49
|
303 |
},
|
304 |
{
|
305 |
-
"epoch": 0.
|
306 |
-
"learning_rate": 9.
|
307 |
-
"loss": 4.
|
308 |
"step": 50
|
309 |
},
|
310 |
{
|
311 |
-
"epoch": 0.
|
312 |
-
"learning_rate":
|
313 |
-
"loss": 4.
|
314 |
"step": 51
|
315 |
},
|
316 |
{
|
317 |
-
"epoch": 0.
|
318 |
-
"learning_rate": 0.
|
319 |
-
"loss": 4.
|
320 |
"step": 52
|
321 |
},
|
322 |
{
|
323 |
-
"epoch": 0.
|
324 |
-
"learning_rate": 0.
|
325 |
-
"loss": 4.
|
326 |
"step": 53
|
327 |
},
|
328 |
{
|
329 |
-
"epoch": 0.
|
330 |
-
"learning_rate": 0.
|
331 |
-
"loss": 4.
|
332 |
"step": 54
|
333 |
},
|
334 |
{
|
335 |
-
"epoch": 0.
|
336 |
-
"learning_rate": 0.
|
337 |
-
"loss": 4.
|
338 |
"step": 55
|
339 |
},
|
340 |
{
|
341 |
-
"epoch": 0.
|
342 |
-
"learning_rate": 0.
|
343 |
-
"loss": 4.
|
344 |
"step": 56
|
345 |
},
|
346 |
{
|
347 |
-
"epoch": 0.
|
348 |
-
"learning_rate": 0.
|
349 |
-
"loss": 4.
|
350 |
"step": 57
|
351 |
},
|
352 |
{
|
353 |
-
"epoch": 0.
|
354 |
-
"learning_rate": 0.
|
355 |
-
"loss": 4.
|
356 |
"step": 58
|
357 |
},
|
358 |
{
|
359 |
-
"epoch": 0.
|
360 |
-
"learning_rate": 0.
|
361 |
-
"loss": 4.
|
362 |
"step": 59
|
363 |
},
|
364 |
{
|
365 |
-
"epoch": 0.
|
366 |
-
"learning_rate": 0.
|
367 |
-
"loss": 4.
|
368 |
"step": 60
|
369 |
},
|
370 |
{
|
371 |
-
"epoch": 0.
|
372 |
-
"learning_rate": 0.
|
373 |
-
"loss": 4.
|
374 |
"step": 61
|
375 |
},
|
376 |
{
|
377 |
-
"epoch": 0.
|
378 |
-
"learning_rate": 0.
|
379 |
-
"loss": 4.
|
380 |
"step": 62
|
381 |
},
|
382 |
{
|
383 |
-
"epoch": 0.
|
384 |
-
"learning_rate": 0.
|
385 |
-
"loss": 4.
|
386 |
"step": 63
|
387 |
},
|
388 |
{
|
389 |
-
"epoch": 0.
|
390 |
-
"learning_rate": 0.
|
391 |
-
"loss": 4.
|
392 |
"step": 64
|
393 |
},
|
394 |
{
|
395 |
-
"epoch": 0.
|
396 |
-
"learning_rate": 0.
|
397 |
-
"loss": 4.
|
398 |
"step": 65
|
399 |
},
|
400 |
{
|
401 |
-
"epoch": 0.
|
402 |
-
"learning_rate": 0.
|
403 |
-
"loss": 4.
|
404 |
"step": 66
|
405 |
},
|
406 |
{
|
407 |
-
"epoch": 0.
|
408 |
-
"learning_rate": 0.
|
409 |
-
"loss": 4.
|
410 |
"step": 67
|
411 |
},
|
412 |
{
|
413 |
-
"epoch": 0.
|
414 |
-
"learning_rate": 0.
|
415 |
-
"loss": 4.
|
416 |
"step": 68
|
417 |
},
|
418 |
{
|
419 |
-
"epoch": 0.
|
420 |
-
"learning_rate": 0.
|
421 |
-
"loss": 4.
|
422 |
"step": 69
|
423 |
},
|
424 |
{
|
425 |
-
"epoch": 0.
|
426 |
-
"learning_rate": 0.
|
427 |
-
"loss": 4.
|
428 |
"step": 70
|
429 |
},
|
430 |
{
|
431 |
-
"epoch": 0.
|
432 |
-
"learning_rate": 0.
|
433 |
-
"loss": 4.
|
434 |
"step": 71
|
435 |
},
|
436 |
{
|
437 |
-
"epoch": 0.
|
438 |
-
"learning_rate": 0.
|
439 |
-
"loss": 4.
|
440 |
"step": 72
|
441 |
},
|
442 |
{
|
443 |
-
"epoch": 0.
|
444 |
-
"learning_rate": 0.
|
445 |
-
"loss": 4.
|
446 |
"step": 73
|
447 |
},
|
448 |
{
|
449 |
-
"epoch": 0.
|
450 |
-
"learning_rate": 0.
|
451 |
-
"loss": 4.
|
452 |
"step": 74
|
453 |
},
|
454 |
{
|
455 |
-
"epoch": 0.
|
456 |
-
"learning_rate": 0.
|
457 |
-
"loss": 4.
|
458 |
"step": 75
|
459 |
},
|
460 |
{
|
461 |
-
"epoch": 0.
|
462 |
-
"learning_rate": 0.
|
463 |
-
"loss": 4.
|
464 |
"step": 76
|
465 |
},
|
466 |
{
|
467 |
-
"epoch": 0.
|
468 |
-
"learning_rate": 0.
|
469 |
-
"loss": 4.
|
470 |
"step": 77
|
471 |
},
|
472 |
{
|
473 |
-
"epoch": 0.
|
474 |
-
"learning_rate": 0.
|
475 |
-
"loss": 4.
|
476 |
"step": 78
|
477 |
},
|
478 |
{
|
479 |
-
"epoch": 0.
|
480 |
-
"learning_rate": 0.
|
481 |
-
"loss": 4.
|
482 |
"step": 79
|
483 |
},
|
484 |
{
|
485 |
-
"epoch": 0.
|
486 |
-
"learning_rate": 0.
|
487 |
-
"loss": 4.
|
488 |
"step": 80
|
489 |
},
|
490 |
{
|
491 |
-
"epoch": 0.
|
492 |
-
"learning_rate": 0.
|
493 |
-
"loss": 4.
|
494 |
"step": 81
|
495 |
},
|
496 |
{
|
497 |
-
"epoch": 0.
|
498 |
-
"learning_rate": 0.
|
499 |
-
"loss": 4.
|
500 |
"step": 82
|
501 |
},
|
502 |
{
|
503 |
-
"epoch": 0.
|
504 |
-
"learning_rate": 0.
|
505 |
-
"loss": 4.
|
506 |
"step": 83
|
507 |
},
|
508 |
{
|
509 |
-
"epoch": 0.
|
510 |
-
"learning_rate": 0.
|
511 |
-
"loss": 4.
|
512 |
"step": 84
|
513 |
},
|
514 |
{
|
515 |
-
"epoch": 0.
|
516 |
-
"learning_rate": 0.00016600000000000002,
|
517 |
-
"loss": 4.2769,
|
518 |
-
"step": 85
|
519 |
-
},
|
520 |
-
{
|
521 |
-
"epoch": 0.14,
|
522 |
"learning_rate": 0.00016800000000000002,
|
523 |
-
"loss": 4.
|
524 |
-
"step":
|
525 |
},
|
526 |
{
|
527 |
-
"epoch": 0.
|
528 |
"learning_rate": 0.00017,
|
529 |
-
"loss": 4.
|
530 |
-
"step":
|
531 |
},
|
532 |
{
|
533 |
-
"epoch": 0.
|
534 |
"learning_rate": 0.00017199999999999998,
|
535 |
-
"loss": 4.
|
536 |
-
"step":
|
537 |
},
|
538 |
{
|
539 |
-
"epoch": 0.
|
540 |
"learning_rate": 0.000174,
|
541 |
-
"loss": 4.
|
542 |
-
"step":
|
543 |
},
|
544 |
{
|
545 |
-
"epoch": 0.
|
546 |
"learning_rate": 0.000176,
|
547 |
-
"loss": 4.
|
548 |
-
"step":
|
549 |
},
|
550 |
{
|
551 |
-
"epoch": 0.
|
552 |
"learning_rate": 0.000178,
|
553 |
-
"loss": 4.
|
554 |
-
"step":
|
555 |
},
|
556 |
{
|
557 |
-
"epoch": 0.
|
558 |
"learning_rate": 0.00017999999999999998,
|
559 |
-
"loss": 4.
|
560 |
-
"step":
|
561 |
},
|
562 |
{
|
563 |
-
"epoch": 0.
|
564 |
"learning_rate": 0.000182,
|
565 |
-
"loss": 4.
|
566 |
-
"step":
|
567 |
},
|
568 |
{
|
569 |
-
"epoch": 0.
|
570 |
"learning_rate": 0.000184,
|
571 |
-
"loss": 4.
|
572 |
-
"step":
|
573 |
},
|
574 |
{
|
575 |
-
"epoch": 0.
|
576 |
"learning_rate": 0.000186,
|
577 |
-
"loss": 4.
|
578 |
-
"step":
|
579 |
},
|
580 |
{
|
581 |
-
"epoch": 0.
|
582 |
"learning_rate": 0.00018800000000000002,
|
583 |
-
"loss": 4.
|
584 |
-
"step":
|
585 |
},
|
586 |
{
|
587 |
-
"epoch": 0.
|
588 |
"learning_rate": 0.00019,
|
589 |
-
"loss": 4.
|
590 |
-
"step":
|
591 |
},
|
592 |
{
|
593 |
-
"epoch": 0.
|
594 |
"learning_rate": 0.000192,
|
595 |
-
"loss": 4.
|
596 |
-
"step":
|
597 |
},
|
598 |
{
|
599 |
-
"epoch": 0.
|
600 |
"learning_rate": 0.000194,
|
601 |
-
"loss": 4.
|
602 |
-
"step":
|
603 |
},
|
604 |
{
|
605 |
-
"epoch": 0.
|
606 |
"learning_rate": 0.00019600000000000002,
|
607 |
-
"loss": 4.
|
608 |
-
"step":
|
609 |
},
|
610 |
{
|
611 |
-
"epoch": 0.
|
612 |
"learning_rate": 0.00019800000000000002,
|
613 |
-
"loss": 4.
|
614 |
-
"step":
|
615 |
},
|
616 |
{
|
617 |
-
"epoch": 0.
|
618 |
"learning_rate": 0.0002,
|
619 |
-
"loss": 4.
|
620 |
-
"step":
|
621 |
},
|
622 |
{
|
623 |
-
"epoch": 0.
|
624 |
"learning_rate": 0.000202,
|
625 |
-
"loss": 4.
|
626 |
-
"step":
|
627 |
},
|
628 |
{
|
629 |
-
"epoch": 0.
|
630 |
"learning_rate": 0.000204,
|
631 |
-
"loss": 4.
|
632 |
-
"step":
|
633 |
},
|
634 |
{
|
635 |
-
"epoch": 0.
|
636 |
"learning_rate": 0.000206,
|
637 |
-
"loss": 4.
|
638 |
-
"step":
|
639 |
},
|
640 |
{
|
641 |
-
"epoch": 0.
|
642 |
"learning_rate": 0.000208,
|
643 |
-
"loss": 4.
|
644 |
-
"step":
|
645 |
},
|
646 |
{
|
647 |
-
"epoch": 0.
|
648 |
"learning_rate": 0.00021,
|
649 |
-
"loss": 4.
|
650 |
-
"step":
|
651 |
},
|
652 |
{
|
653 |
-
"epoch": 0.
|
654 |
"learning_rate": 0.000212,
|
655 |
-
"loss": 4.
|
656 |
-
"step":
|
657 |
},
|
658 |
{
|
659 |
-
"epoch": 0.
|
660 |
"learning_rate": 0.000214,
|
661 |
-
"loss": 4.
|
662 |
-
"step":
|
663 |
},
|
664 |
{
|
665 |
-
"epoch": 0.
|
666 |
"learning_rate": 0.000216,
|
667 |
-
"loss": 4.
|
668 |
-
"step":
|
669 |
},
|
670 |
{
|
671 |
-
"epoch": 0.
|
672 |
"learning_rate": 0.000218,
|
673 |
-
"loss": 4.
|
674 |
-
"step":
|
675 |
},
|
676 |
{
|
677 |
-
"epoch": 0.
|
678 |
"learning_rate": 0.00022,
|
679 |
-
"loss": 4.
|
680 |
-
"step":
|
681 |
},
|
682 |
{
|
683 |
-
"epoch": 0.
|
684 |
"learning_rate": 0.000222,
|
685 |
-
"loss": 4.
|
686 |
-
"step":
|
687 |
},
|
688 |
{
|
689 |
-
"epoch": 0.
|
690 |
"learning_rate": 0.000224,
|
691 |
-
"loss": 4.
|
692 |
-
"step":
|
693 |
},
|
694 |
{
|
695 |
-
"epoch": 0.
|
696 |
"learning_rate": 0.00022600000000000002,
|
697 |
-
"loss": 4.
|
698 |
-
"step":
|
699 |
},
|
700 |
{
|
701 |
-
"epoch": 0.
|
702 |
"learning_rate": 0.000228,
|
703 |
-
"loss": 4.
|
704 |
-
"step":
|
705 |
},
|
706 |
{
|
707 |
-
"epoch": 0.
|
708 |
"learning_rate": 0.00023,
|
709 |
-
"loss": 4.
|
710 |
-
"step":
|
711 |
},
|
712 |
{
|
713 |
-
"epoch": 0.
|
714 |
"learning_rate": 0.00023200000000000003,
|
715 |
-
"loss": 4.
|
716 |
-
"step":
|
717 |
},
|
718 |
{
|
719 |
-
"epoch": 0.
|
720 |
"learning_rate": 0.00023400000000000002,
|
721 |
-
"loss": 4.
|
722 |
-
"step":
|
723 |
},
|
724 |
{
|
725 |
-
"epoch": 0.
|
726 |
"learning_rate": 0.000236,
|
727 |
-
"loss": 4.
|
728 |
-
"step":
|
729 |
},
|
730 |
{
|
731 |
-
"epoch": 0.
|
732 |
"learning_rate": 0.00023799999999999998,
|
733 |
-
"loss": 4.
|
734 |
-
"step":
|
735 |
},
|
736 |
{
|
737 |
-
"epoch": 0.
|
738 |
"learning_rate": 0.00024,
|
739 |
-
"loss": 4.
|
740 |
-
"step":
|
741 |
},
|
742 |
{
|
743 |
-
"epoch": 0.
|
744 |
"learning_rate": 0.000242,
|
745 |
-
"loss": 4.
|
746 |
-
"step":
|
747 |
},
|
748 |
{
|
749 |
-
"epoch": 0.
|
750 |
"learning_rate": 0.000244,
|
751 |
-
"loss": 4.
|
752 |
-
"step":
|
753 |
},
|
754 |
{
|
755 |
-
"epoch": 0.
|
756 |
"learning_rate": 0.000246,
|
757 |
-
"loss": 4.
|
758 |
-
"step":
|
759 |
},
|
760 |
{
|
761 |
-
"epoch": 0.
|
762 |
"learning_rate": 0.000248,
|
763 |
-
"loss": 4.
|
764 |
-
"step":
|
765 |
},
|
766 |
{
|
767 |
-
"epoch": 0.
|
768 |
"learning_rate": 0.00025,
|
769 |
-
"loss": 4.
|
770 |
-
"step":
|
771 |
},
|
772 |
{
|
773 |
-
"epoch": 0.
|
774 |
"learning_rate": 0.000252,
|
775 |
-
"loss": 4.
|
776 |
-
"step":
|
777 |
},
|
778 |
{
|
779 |
-
"epoch": 0.
|
780 |
"learning_rate": 0.000254,
|
781 |
-
"loss": 4.
|
782 |
-
"step":
|
783 |
},
|
784 |
{
|
785 |
-
"epoch": 0.
|
786 |
"learning_rate": 0.000256,
|
787 |
-
"loss": 4.
|
788 |
-
"step":
|
789 |
},
|
790 |
{
|
791 |
-
"epoch": 0.
|
792 |
"learning_rate": 0.00025800000000000004,
|
793 |
-
"loss": 4.
|
794 |
-
"step":
|
795 |
},
|
796 |
{
|
797 |
-
"epoch": 0.
|
798 |
"learning_rate": 0.00026000000000000003,
|
799 |
-
"loss": 4.
|
800 |
-
"step":
|
801 |
},
|
802 |
{
|
803 |
-
"epoch": 0.
|
804 |
"learning_rate": 0.000262,
|
805 |
-
"loss": 4.
|
806 |
-
"step":
|
807 |
},
|
808 |
{
|
809 |
-
"epoch": 0.
|
810 |
"learning_rate": 0.000264,
|
811 |
-
"loss": 4.
|
812 |
-
"step":
|
813 |
},
|
814 |
{
|
815 |
-
"epoch": 0.
|
816 |
"learning_rate": 0.000266,
|
817 |
-
"loss": 4.
|
818 |
-
"step":
|
819 |
},
|
820 |
{
|
821 |
-
"epoch": 0.
|
822 |
"learning_rate": 0.000268,
|
823 |
-
"loss": 4.
|
824 |
-
"step":
|
825 |
},
|
826 |
{
|
827 |
-
"epoch": 0.
|
828 |
"learning_rate": 0.00027,
|
829 |
-
"loss": 4.
|
830 |
-
"step":
|
831 |
},
|
832 |
{
|
833 |
-
"epoch": 0.
|
834 |
"learning_rate": 0.00027200000000000005,
|
835 |
-
"loss": 4.
|
836 |
-
"step":
|
837 |
},
|
838 |
{
|
839 |
-
"epoch": 0.
|
840 |
"learning_rate": 0.00027400000000000005,
|
841 |
-
"loss": 4.
|
842 |
-
"step":
|
843 |
},
|
844 |
{
|
845 |
-
"epoch": 0.
|
846 |
"learning_rate": 0.00027600000000000004,
|
847 |
-
"loss": 4.
|
848 |
-
"step":
|
849 |
},
|
850 |
{
|
851 |
-
"epoch": 0.
|
852 |
"learning_rate": 0.00027800000000000004,
|
853 |
-
"loss": 4.
|
854 |
-
"step":
|
855 |
},
|
856 |
{
|
857 |
-
"epoch": 0.
|
858 |
"learning_rate": 0.00028000000000000003,
|
859 |
-
"loss": 4.
|
860 |
-
"step":
|
861 |
},
|
862 |
{
|
863 |
-
"epoch": 0.
|
864 |
"learning_rate": 0.00028199999999999997,
|
865 |
-
"loss": 4.
|
866 |
-
"step":
|
867 |
},
|
868 |
{
|
869 |
-
"epoch": 0.
|
870 |
"learning_rate": 0.00028399999999999996,
|
871 |
-
"loss":
|
872 |
-
"step":
|
873 |
},
|
874 |
{
|
875 |
-
"epoch": 0.
|
876 |
"learning_rate": 0.00028599999999999996,
|
877 |
-
"loss": 4.
|
878 |
-
"step":
|
879 |
},
|
880 |
{
|
881 |
-
"epoch": 0.
|
882 |
"learning_rate": 0.000288,
|
883 |
-
"loss":
|
884 |
-
"step":
|
885 |
},
|
886 |
{
|
887 |
-
"epoch": 0.
|
888 |
"learning_rate": 0.00029,
|
889 |
-
"loss": 4.
|
890 |
-
"step":
|
891 |
},
|
892 |
{
|
893 |
-
"epoch": 0.
|
894 |
"learning_rate": 0.000292,
|
895 |
-
"loss": 5.
|
896 |
-
"step":
|
897 |
},
|
898 |
{
|
899 |
-
"epoch": 0.
|
900 |
"learning_rate": 0.000294,
|
901 |
-
"loss": 4.
|
902 |
-
"step":
|
903 |
},
|
904 |
{
|
905 |
-
"epoch": 0.
|
906 |
"learning_rate": 0.000296,
|
907 |
-
"loss": 4.
|
908 |
-
"step":
|
909 |
},
|
910 |
{
|
911 |
-
"epoch": 0.
|
912 |
"learning_rate": 0.000298,
|
913 |
-
"loss":
|
914 |
-
"step":
|
915 |
},
|
916 |
{
|
917 |
-
"epoch": 0.
|
918 |
"learning_rate": 0.0003,
|
919 |
-
"loss": 4.
|
920 |
-
"step":
|
921 |
},
|
922 |
{
|
923 |
-
"epoch": 0.
|
924 |
"learning_rate": 0.000302,
|
925 |
-
"loss": 4.
|
926 |
-
"step":
|
927 |
},
|
928 |
{
|
929 |
-
"epoch": 0.
|
930 |
"learning_rate": 0.000304,
|
931 |
-
"loss": 4.
|
932 |
-
"step":
|
933 |
},
|
934 |
{
|
935 |
-
"epoch": 0.
|
936 |
"learning_rate": 0.000306,
|
937 |
-
"loss": 4.
|
938 |
-
"step":
|
939 |
},
|
940 |
{
|
941 |
-
"epoch": 0.
|
942 |
"learning_rate": 0.000308,
|
943 |
-
"loss": 4.
|
944 |
-
"step":
|
945 |
},
|
946 |
{
|
947 |
-
"epoch": 0.
|
948 |
"learning_rate": 0.00031,
|
949 |
-
"loss": 4.
|
950 |
-
"step":
|
951 |
},
|
952 |
{
|
953 |
-
"epoch": 0.
|
954 |
"learning_rate": 0.000312,
|
955 |
-
"loss": 4.
|
956 |
-
"step":
|
957 |
},
|
958 |
{
|
959 |
-
"epoch": 0.
|
960 |
"learning_rate": 0.000314,
|
961 |
-
"loss": 4.
|
962 |
-
"step":
|
963 |
},
|
964 |
{
|
965 |
-
"epoch": 0.
|
966 |
"learning_rate": 0.000316,
|
967 |
-
"loss": 4.
|
968 |
-
"step":
|
969 |
},
|
970 |
{
|
971 |
-
"epoch": 0.
|
972 |
"learning_rate": 0.00031800000000000003,
|
973 |
-
"loss": 4.
|
974 |
-
"step":
|
975 |
},
|
976 |
{
|
977 |
-
"epoch": 0.
|
978 |
"learning_rate": 0.00032,
|
979 |
-
"loss": 4.
|
980 |
-
"step":
|
981 |
},
|
982 |
{
|
983 |
-
"epoch": 0.
|
984 |
"learning_rate": 0.000322,
|
985 |
-
"loss": 4.
|
986 |
-
"step":
|
987 |
},
|
988 |
{
|
989 |
-
"epoch": 0.
|
990 |
"learning_rate": 0.000324,
|
991 |
-
"loss": 4.
|
992 |
-
"step":
|
993 |
},
|
994 |
{
|
995 |
-
"epoch": 0.
|
996 |
"learning_rate": 0.000326,
|
997 |
-
"loss": 4.
|
998 |
-
"step":
|
999 |
},
|
1000 |
{
|
1001 |
-
"epoch": 0.
|
1002 |
"learning_rate": 0.000328,
|
1003 |
-
"loss": 4.
|
1004 |
-
"step":
|
1005 |
},
|
1006 |
{
|
1007 |
-
"epoch": 0.
|
1008 |
"learning_rate": 0.00033,
|
1009 |
-
"loss": 4.
|
1010 |
-
"step":
|
1011 |
},
|
1012 |
{
|
1013 |
-
"epoch": 0.
|
1014 |
"learning_rate": 0.00033200000000000005,
|
1015 |
-
"loss": 4.
|
1016 |
-
"step":
|
1017 |
},
|
1018 |
{
|
1019 |
-
"epoch": 0.
|
1020 |
"learning_rate": 0.00033400000000000004,
|
1021 |
-
"loss": 4.
|
1022 |
-
"step":
|
1023 |
},
|
1024 |
{
|
1025 |
-
"epoch": 0.
|
1026 |
"learning_rate": 0.00033600000000000004,
|
1027 |
-
"loss": 4.
|
1028 |
-
"step":
|
1029 |
},
|
1030 |
{
|
1031 |
-
"epoch": 0.
|
1032 |
"learning_rate": 0.00033800000000000003,
|
1033 |
-
"loss": 4.
|
1034 |
-
"step":
|
1035 |
},
|
1036 |
{
|
1037 |
-
"epoch": 0.
|
1038 |
"learning_rate": 0.00034,
|
1039 |
-
"loss": 4.
|
1040 |
-
"step":
|
1041 |
},
|
1042 |
{
|
1043 |
-
"epoch": 0.
|
1044 |
"learning_rate": 0.000342,
|
1045 |
-
"loss": 4.
|
1046 |
-
"step":
|
1047 |
},
|
1048 |
{
|
1049 |
-
"epoch": 0.
|
1050 |
"learning_rate": 0.00034399999999999996,
|
1051 |
-
"loss": 4.
|
1052 |
-
"step":
|
1053 |
},
|
1054 |
{
|
1055 |
-
"epoch": 0.
|
1056 |
"learning_rate": 0.000346,
|
1057 |
-
"loss": 4.
|
1058 |
-
"step":
|
1059 |
},
|
1060 |
{
|
1061 |
-
"epoch": 0.
|
1062 |
"learning_rate": 0.000348,
|
1063 |
-
"loss": 4.
|
1064 |
-
"step":
|
1065 |
},
|
1066 |
{
|
1067 |
-
"epoch": 0.
|
1068 |
"learning_rate": 0.00035,
|
1069 |
-
"loss": 4.
|
1070 |
-
"step":
|
1071 |
},
|
1072 |
{
|
1073 |
-
"epoch": 0.
|
1074 |
"learning_rate": 0.000352,
|
1075 |
-
"loss": 4.
|
1076 |
-
"step":
|
1077 |
},
|
1078 |
{
|
1079 |
-
"epoch": 0.
|
1080 |
"learning_rate": 0.000354,
|
1081 |
-
"loss": 4.
|
1082 |
-
"step":
|
1083 |
},
|
1084 |
{
|
1085 |
-
"epoch": 0.
|
1086 |
"learning_rate": 0.000356,
|
1087 |
-
"loss": 4.
|
1088 |
-
"step":
|
1089 |
},
|
1090 |
{
|
1091 |
-
"epoch": 0.
|
1092 |
"learning_rate": 0.000358,
|
1093 |
-
"loss": 4.
|
1094 |
-
"step":
|
1095 |
},
|
1096 |
{
|
1097 |
-
"epoch": 0.
|
1098 |
"learning_rate": 0.00035999999999999997,
|
1099 |
-
"loss": 4.
|
1100 |
-
"step":
|
1101 |
},
|
1102 |
{
|
1103 |
-
"epoch": 0.
|
1104 |
"learning_rate": 0.000362,
|
1105 |
-
"loss": 4.
|
1106 |
-
"step":
|
1107 |
},
|
1108 |
{
|
1109 |
-
"epoch": 0.
|
1110 |
"learning_rate": 0.000364,
|
1111 |
-
"loss": 4.
|
1112 |
-
"step":
|
1113 |
},
|
1114 |
{
|
1115 |
-
"epoch": 0.
|
1116 |
"learning_rate": 0.000366,
|
1117 |
-
"loss": 4.
|
1118 |
-
"step":
|
1119 |
},
|
1120 |
{
|
1121 |
-
"epoch": 0.
|
1122 |
"learning_rate": 0.000368,
|
1123 |
-
"loss": 4.
|
1124 |
-
"step":
|
1125 |
},
|
1126 |
{
|
1127 |
-
"epoch": 0.
|
1128 |
"learning_rate": 0.00037,
|
1129 |
-
"loss": 4.
|
1130 |
-
"step":
|
1131 |
},
|
1132 |
{
|
1133 |
-
"epoch": 0.
|
1134 |
"learning_rate": 0.000372,
|
1135 |
-
"loss":
|
1136 |
-
"step":
|
1137 |
},
|
1138 |
{
|
1139 |
-
"epoch": 0.
|
1140 |
"learning_rate": 0.000374,
|
1141 |
-
"loss":
|
1142 |
-
"step":
|
1143 |
},
|
1144 |
{
|
1145 |
-
"epoch": 0.
|
1146 |
"learning_rate": 0.00037600000000000003,
|
1147 |
-
"loss": 4.
|
1148 |
-
"step":
|
1149 |
},
|
1150 |
{
|
1151 |
-
"epoch": 0.
|
1152 |
"learning_rate": 0.000378,
|
1153 |
-
"loss": 4.
|
1154 |
-
"step":
|
1155 |
},
|
1156 |
{
|
1157 |
-
"epoch": 0.
|
1158 |
"learning_rate": 0.00038,
|
1159 |
-
"loss": 4.
|
1160 |
-
"step":
|
1161 |
},
|
1162 |
{
|
1163 |
-
"epoch": 0.
|
1164 |
"learning_rate": 0.000382,
|
1165 |
-
"loss":
|
1166 |
-
"step":
|
1167 |
},
|
1168 |
{
|
1169 |
-
"epoch": 0.
|
1170 |
"learning_rate": 0.000384,
|
1171 |
-
"loss": 4.
|
1172 |
-
"step":
|
1173 |
},
|
1174 |
{
|
1175 |
-
"epoch": 0.
|
1176 |
"learning_rate": 0.000386,
|
1177 |
-
"loss": 4.
|
1178 |
-
"step":
|
1179 |
},
|
1180 |
{
|
1181 |
-
"epoch": 0.
|
1182 |
"learning_rate": 0.000388,
|
1183 |
-
"loss": 4.
|
1184 |
-
"step":
|
1185 |
},
|
1186 |
{
|
1187 |
-
"epoch": 0.
|
1188 |
"learning_rate": 0.00039000000000000005,
|
1189 |
-
"loss":
|
1190 |
-
"step":
|
1191 |
},
|
1192 |
{
|
1193 |
-
"epoch": 0.
|
1194 |
"learning_rate": 0.00039200000000000004,
|
1195 |
-
"loss":
|
1196 |
-
"step":
|
1197 |
},
|
1198 |
{
|
1199 |
-
"epoch": 0.
|
1200 |
"learning_rate": 0.00039400000000000004,
|
1201 |
-
"loss": 5.
|
1202 |
-
"step":
|
1203 |
},
|
1204 |
{
|
1205 |
-
"epoch": 0.
|
1206 |
"learning_rate": 0.00039600000000000003,
|
1207 |
-
"loss":
|
1208 |
-
"step":
|
1209 |
},
|
1210 |
{
|
1211 |
-
"epoch": 0.
|
1212 |
"learning_rate": 0.000398,
|
1213 |
-
"loss":
|
1214 |
-
"step":
|
1215 |
},
|
1216 |
{
|
1217 |
-
"epoch": 0.
|
1218 |
"learning_rate": 0.0004,
|
1219 |
-
"loss":
|
1220 |
-
"step":
|
1221 |
},
|
1222 |
{
|
1223 |
-
"epoch": 0.
|
1224 |
"learning_rate": 0.000402,
|
1225 |
-
"loss": 4.
|
1226 |
-
"step":
|
1227 |
},
|
1228 |
{
|
1229 |
-
"epoch": 0.
|
1230 |
"learning_rate": 0.000404,
|
1231 |
-
"loss": 4.
|
1232 |
-
"step":
|
1233 |
},
|
1234 |
{
|
1235 |
-
"epoch": 0.
|
1236 |
"learning_rate": 0.00040600000000000006,
|
1237 |
-
"loss": 4.
|
1238 |
-
"step":
|
1239 |
},
|
1240 |
{
|
1241 |
-
"epoch": 0.
|
1242 |
"learning_rate": 0.000408,
|
1243 |
-
"loss": 4.
|
1244 |
-
"step":
|
1245 |
},
|
1246 |
{
|
1247 |
-
"epoch": 0.
|
1248 |
"learning_rate": 0.00041,
|
1249 |
-
"loss": 4.
|
1250 |
-
"step":
|
1251 |
},
|
1252 |
{
|
1253 |
-
"epoch": 0.
|
1254 |
"learning_rate": 0.000412,
|
1255 |
-
"loss": 5.
|
1256 |
-
"step":
|
1257 |
},
|
1258 |
{
|
1259 |
-
"epoch": 0.
|
1260 |
"learning_rate": 0.000414,
|
1261 |
-
"loss": 4.
|
1262 |
-
"step":
|
1263 |
},
|
1264 |
{
|
1265 |
-
"epoch": 0.
|
1266 |
"learning_rate": 0.000416,
|
1267 |
-
"loss": 4.
|
1268 |
-
"step":
|
1269 |
},
|
1270 |
{
|
1271 |
-
"epoch": 0.
|
1272 |
"learning_rate": 0.00041799999999999997,
|
1273 |
-
"loss": 4.
|
1274 |
-
"step":
|
1275 |
},
|
1276 |
{
|
1277 |
-
"epoch": 0.
|
1278 |
"learning_rate": 0.00042,
|
1279 |
-
"loss": 4.
|
1280 |
-
"step":
|
1281 |
},
|
1282 |
{
|
1283 |
-
"epoch": 0.
|
1284 |
"learning_rate": 0.000422,
|
1285 |
-
"loss": 4.
|
1286 |
-
"step":
|
1287 |
},
|
1288 |
{
|
1289 |
-
"epoch": 0.
|
1290 |
"learning_rate": 0.000424,
|
1291 |
-
"loss": 4.
|
1292 |
-
"step":
|
1293 |
},
|
1294 |
{
|
1295 |
-
"epoch": 0.
|
1296 |
"learning_rate": 0.000426,
|
1297 |
-
"loss": 4.
|
1298 |
-
"step":
|
1299 |
},
|
1300 |
{
|
1301 |
-
"epoch": 0.
|
1302 |
"learning_rate": 0.000428,
|
1303 |
-
"loss": 4.
|
1304 |
-
"step":
|
1305 |
},
|
1306 |
{
|
1307 |
-
"epoch": 0.
|
1308 |
"learning_rate": 0.00043,
|
1309 |
-
"loss": 4.
|
1310 |
-
"step":
|
1311 |
},
|
1312 |
{
|
1313 |
-
"epoch": 0.
|
1314 |
"learning_rate": 0.000432,
|
1315 |
-
"loss": 4.
|
1316 |
-
"step":
|
1317 |
},
|
1318 |
{
|
1319 |
-
"epoch": 0.
|
1320 |
"learning_rate": 0.00043400000000000003,
|
1321 |
-
"loss":
|
1322 |
-
"step":
|
1323 |
},
|
1324 |
{
|
1325 |
-
"epoch": 0.
|
1326 |
"learning_rate": 0.000436,
|
1327 |
-
"loss": 4.
|
1328 |
-
"step":
|
1329 |
},
|
1330 |
{
|
1331 |
-
"epoch": 0.
|
1332 |
"learning_rate": 0.000438,
|
1333 |
-
"loss": 4.
|
1334 |
-
"step":
|
1335 |
},
|
1336 |
{
|
1337 |
-
"epoch": 0.
|
1338 |
"learning_rate": 0.00044,
|
1339 |
-
"loss": 4.
|
1340 |
-
"step":
|
1341 |
},
|
1342 |
{
|
1343 |
-
"epoch": 0.
|
1344 |
"learning_rate": 0.000442,
|
1345 |
-
"loss": 4.
|
1346 |
-
"step":
|
1347 |
},
|
1348 |
{
|
1349 |
-
"epoch": 0.
|
1350 |
"learning_rate": 0.000444,
|
1351 |
-
"loss": 4.
|
1352 |
-
"step":
|
1353 |
},
|
1354 |
{
|
1355 |
-
"epoch": 0.
|
1356 |
"learning_rate": 0.000446,
|
1357 |
-
"loss": 4.
|
1358 |
-
"step":
|
1359 |
},
|
1360 |
{
|
1361 |
-
"epoch": 0.
|
1362 |
"learning_rate": 0.000448,
|
1363 |
-
"loss": 4.
|
1364 |
-
"step":
|
1365 |
},
|
1366 |
{
|
1367 |
-
"epoch": 0.
|
1368 |
"learning_rate": 0.00045000000000000004,
|
1369 |
-
"loss": 4.
|
1370 |
-
"step":
|
1371 |
},
|
1372 |
{
|
1373 |
-
"epoch": 0.
|
1374 |
"learning_rate": 0.00045200000000000004,
|
1375 |
-
"loss": 4.
|
1376 |
-
"step":
|
1377 |
},
|
1378 |
{
|
1379 |
-
"epoch": 0.
|
1380 |
"learning_rate": 0.00045400000000000003,
|
1381 |
-
"loss": 4.
|
1382 |
-
"step":
|
1383 |
},
|
1384 |
{
|
1385 |
-
"epoch": 0.
|
1386 |
"learning_rate": 0.000456,
|
1387 |
-
"loss": 4.
|
1388 |
-
"step":
|
1389 |
},
|
1390 |
{
|
1391 |
-
"epoch": 0.
|
1392 |
"learning_rate": 0.000458,
|
1393 |
-
"loss": 4.
|
1394 |
-
"step":
|
1395 |
},
|
1396 |
{
|
1397 |
-
"epoch": 0.
|
1398 |
"learning_rate": 0.00046,
|
1399 |
-
"loss": 4.
|
1400 |
-
"step":
|
1401 |
},
|
1402 |
{
|
1403 |
-
"epoch": 0.
|
1404 |
"learning_rate": 0.000462,
|
1405 |
-
"loss":
|
1406 |
-
"step":
|
1407 |
},
|
1408 |
{
|
1409 |
-
"epoch": 0.
|
1410 |
"learning_rate": 0.00046400000000000006,
|
1411 |
-
"loss": 4.
|
1412 |
-
"step":
|
1413 |
},
|
1414 |
{
|
1415 |
-
"epoch": 0.
|
1416 |
"learning_rate": 0.00046600000000000005,
|
1417 |
-
"loss": 4.
|
1418 |
-
"step":
|
1419 |
},
|
1420 |
{
|
1421 |
-
"epoch": 0.
|
1422 |
"learning_rate": 0.00046800000000000005,
|
1423 |
-
"loss": 4.
|
1424 |
-
"step":
|
1425 |
},
|
1426 |
{
|
1427 |
-
"epoch": 0.
|
1428 |
"learning_rate": 0.00047,
|
1429 |
-
"loss": 4.
|
1430 |
-
"step":
|
1431 |
},
|
1432 |
{
|
1433 |
-
"epoch": 0.
|
1434 |
"learning_rate": 0.000472,
|
1435 |
-
"loss": 4.
|
1436 |
-
"step":
|
1437 |
},
|
1438 |
{
|
1439 |
-
"epoch": 0.
|
1440 |
"learning_rate": 0.000474,
|
1441 |
-
"loss": 4.
|
1442 |
-
"step":
|
1443 |
},
|
1444 |
{
|
1445 |
-
"epoch": 0.
|
1446 |
"learning_rate": 0.00047599999999999997,
|
1447 |
-
"loss": 4.
|
1448 |
-
"step":
|
1449 |
},
|
1450 |
{
|
1451 |
-
"epoch": 0.
|
1452 |
"learning_rate": 0.00047799999999999996,
|
1453 |
-
"loss": 4.
|
1454 |
-
"step":
|
1455 |
},
|
1456 |
{
|
1457 |
-
"epoch": 0.
|
1458 |
"learning_rate": 0.00048,
|
1459 |
-
"loss":
|
1460 |
-
"step":
|
1461 |
},
|
1462 |
{
|
1463 |
-
"epoch": 0.
|
1464 |
"learning_rate": 0.000482,
|
1465 |
-
"loss": 4.
|
1466 |
-
"step":
|
1467 |
},
|
1468 |
{
|
1469 |
-
"epoch": 0.
|
1470 |
"learning_rate": 0.000484,
|
1471 |
-
"loss": 4.
|
1472 |
-
"step":
|
1473 |
},
|
1474 |
{
|
1475 |
-
"epoch": 0.
|
1476 |
"learning_rate": 0.000486,
|
1477 |
-
"loss":
|
1478 |
-
"step":
|
1479 |
},
|
1480 |
{
|
1481 |
-
"epoch": 0.
|
1482 |
"learning_rate": 0.000488,
|
1483 |
-
"loss": 4.
|
1484 |
-
"step":
|
1485 |
},
|
1486 |
{
|
1487 |
-
"epoch": 0.
|
1488 |
"learning_rate": 0.00049,
|
1489 |
-
"loss":
|
1490 |
-
"step":
|
1491 |
},
|
1492 |
{
|
1493 |
-
"epoch": 0.
|
1494 |
"learning_rate": 0.000492,
|
1495 |
-
"loss":
|
1496 |
-
"step":
|
1497 |
},
|
1498 |
{
|
1499 |
-
"epoch": 0.
|
1500 |
"learning_rate": 0.000494,
|
1501 |
-
"loss":
|
1502 |
-
"step":
|
1503 |
},
|
1504 |
{
|
1505 |
-
"epoch": 0.
|
1506 |
"learning_rate": 0.000496,
|
1507 |
-
"loss": 5.
|
1508 |
-
"step":
|
1509 |
},
|
1510 |
{
|
1511 |
-
"epoch": 0.
|
1512 |
"learning_rate": 0.000498,
|
1513 |
-
"loss":
|
1514 |
-
"step":
|
1515 |
},
|
1516 |
{
|
1517 |
-
"epoch": 0.
|
1518 |
"learning_rate": 0.0005,
|
1519 |
-
"loss": 4.
|
1520 |
-
"step":
|
1521 |
},
|
1522 |
{
|
1523 |
-
"epoch": 0.
|
1524 |
"learning_rate": 0.0005020000000000001,
|
1525 |
-
"loss": 4.
|
1526 |
-
"step":
|
1527 |
},
|
1528 |
{
|
1529 |
-
"epoch": 0.
|
1530 |
"learning_rate": 0.000504,
|
1531 |
-
"loss": 4.
|
1532 |
-
"step":
|
1533 |
},
|
1534 |
{
|
1535 |
-
"epoch": 0.
|
1536 |
"learning_rate": 0.000506,
|
1537 |
-
"loss":
|
1538 |
-
"step":
|
1539 |
},
|
1540 |
{
|
1541 |
-
"epoch": 0.
|
1542 |
"learning_rate": 0.000508,
|
1543 |
-
"loss": 4.
|
1544 |
-
"step":
|
1545 |
},
|
1546 |
{
|
1547 |
-
"epoch": 0.
|
1548 |
"learning_rate": 0.00051,
|
1549 |
-
"loss": 4.
|
1550 |
-
"step":
|
1551 |
},
|
1552 |
{
|
1553 |
-
"epoch": 0.
|
1554 |
"learning_rate": 0.000512,
|
1555 |
-
"loss": 4.
|
1556 |
-
"step":
|
1557 |
},
|
1558 |
{
|
1559 |
-
"epoch": 0.
|
1560 |
"learning_rate": 0.000514,
|
1561 |
-
"loss": 4.
|
1562 |
-
"step":
|
1563 |
},
|
1564 |
{
|
1565 |
-
"epoch": 0.
|
1566 |
"learning_rate": 0.0005160000000000001,
|
1567 |
-
"loss": 4.
|
1568 |
-
"step":
|
1569 |
},
|
1570 |
{
|
1571 |
-
"epoch": 0.
|
1572 |
"learning_rate": 0.000518,
|
1573 |
-
"loss": 4.
|
1574 |
-
"step":
|
1575 |
},
|
1576 |
{
|
1577 |
-
"epoch": 0.
|
1578 |
"learning_rate": 0.0005200000000000001,
|
1579 |
-
"loss": 4.
|
1580 |
-
"step":
|
1581 |
},
|
1582 |
{
|
1583 |
-
"epoch": 0.
|
1584 |
"learning_rate": 0.000522,
|
1585 |
-
"loss":
|
1586 |
-
"step":
|
1587 |
},
|
1588 |
{
|
1589 |
-
"epoch": 0.
|
1590 |
"learning_rate": 0.000524,
|
1591 |
-
"loss": 4.
|
1592 |
-
"step":
|
1593 |
},
|
1594 |
{
|
1595 |
-
"epoch": 0.
|
1596 |
"learning_rate": 0.000526,
|
1597 |
-
"loss": 4.
|
1598 |
-
"step":
|
1599 |
},
|
1600 |
{
|
1601 |
-
"epoch": 0.
|
1602 |
"learning_rate": 0.000528,
|
1603 |
-
"loss": 4.
|
1604 |
-
"step":
|
1605 |
},
|
1606 |
{
|
1607 |
-
"epoch": 0.
|
1608 |
"learning_rate": 0.0005300000000000001,
|
1609 |
-
"loss": 4.
|
1610 |
-
"step":
|
1611 |
},
|
1612 |
{
|
1613 |
-
"epoch": 0.
|
1614 |
"learning_rate": 0.000532,
|
1615 |
-
"loss": 4.
|
1616 |
-
"step":
|
1617 |
},
|
1618 |
{
|
1619 |
-
"epoch": 0.
|
1620 |
"learning_rate": 0.0005340000000000001,
|
1621 |
-
"loss": 4.
|
1622 |
-
"step":
|
1623 |
},
|
1624 |
{
|
1625 |
-
"epoch": 0.
|
1626 |
"learning_rate": 0.000536,
|
1627 |
-
"loss": 4.
|
1628 |
-
"step":
|
1629 |
},
|
1630 |
{
|
1631 |
-
"epoch": 0.
|
1632 |
"learning_rate": 0.0005380000000000001,
|
1633 |
-
"loss": 4.
|
1634 |
-
"step":
|
1635 |
},
|
1636 |
{
|
1637 |
-
"epoch": 0.
|
1638 |
"learning_rate": 0.00054,
|
1639 |
-
"loss": 4.
|
1640 |
-
"step":
|
1641 |
},
|
1642 |
{
|
1643 |
-
"epoch": 0.
|
1644 |
"learning_rate": 0.0005420000000000001,
|
1645 |
-
"loss": 4.
|
1646 |
-
"step":
|
1647 |
},
|
1648 |
{
|
1649 |
-
"epoch": 0.
|
1650 |
"learning_rate": 0.0005440000000000001,
|
1651 |
-
"loss": 4.
|
1652 |
-
"step":
|
1653 |
-
},
|
1654 |
-
{
|
1655 |
-
"epoch": 0.46,
|
1656 |
-
"learning_rate": 0.000546,
|
1657 |
-
"loss": 4.7076,
|
1658 |
-
"step": 275
|
1659 |
-
},
|
1660 |
-
{
|
1661 |
-
"epoch": 0.46,
|
1662 |
-
"learning_rate": 0.0005480000000000001,
|
1663 |
-
"loss": 4.7856,
|
1664 |
-
"step": 276
|
1665 |
-
},
|
1666 |
-
{
|
1667 |
-
"epoch": 0.47,
|
1668 |
-
"learning_rate": 0.00055,
|
1669 |
-
"loss": 4.8639,
|
1670 |
-
"step": 277
|
1671 |
-
},
|
1672 |
-
{
|
1673 |
-
"epoch": 0.47,
|
1674 |
-
"learning_rate": 0.0005520000000000001,
|
1675 |
-
"loss": 4.9141,
|
1676 |
-
"step": 278
|
1677 |
-
},
|
1678 |
-
{
|
1679 |
-
"epoch": 0.47,
|
1680 |
-
"learning_rate": 0.000554,
|
1681 |
-
"loss": 4.7599,
|
1682 |
-
"step": 279
|
1683 |
-
},
|
1684 |
-
{
|
1685 |
-
"epoch": 0.47,
|
1686 |
-
"learning_rate": 0.0005560000000000001,
|
1687 |
-
"loss": 4.8849,
|
1688 |
-
"step": 280
|
1689 |
-
},
|
1690 |
-
{
|
1691 |
-
"epoch": 0.47,
|
1692 |
-
"learning_rate": 0.000558,
|
1693 |
-
"loss": 4.8114,
|
1694 |
-
"step": 281
|
1695 |
-
},
|
1696 |
-
{
|
1697 |
-
"epoch": 0.47,
|
1698 |
-
"learning_rate": 0.0005600000000000001,
|
1699 |
-
"loss": 4.8759,
|
1700 |
-
"step": 282
|
1701 |
-
},
|
1702 |
-
{
|
1703 |
-
"epoch": 0.48,
|
1704 |
-
"learning_rate": 0.0005620000000000001,
|
1705 |
-
"loss": 4.6076,
|
1706 |
-
"step": 283
|
1707 |
-
},
|
1708 |
-
{
|
1709 |
-
"epoch": 0.48,
|
1710 |
-
"learning_rate": 0.0005639999999999999,
|
1711 |
-
"loss": 4.6381,
|
1712 |
-
"step": 284
|
1713 |
-
},
|
1714 |
-
{
|
1715 |
-
"epoch": 0.48,
|
1716 |
-
"learning_rate": 0.000566,
|
1717 |
-
"loss": 4.8706,
|
1718 |
-
"step": 285
|
1719 |
-
},
|
1720 |
-
{
|
1721 |
-
"epoch": 0.48,
|
1722 |
-
"learning_rate": 0.0005679999999999999,
|
1723 |
-
"loss": 4.7356,
|
1724 |
-
"step": 286
|
1725 |
-
},
|
1726 |
-
{
|
1727 |
-
"epoch": 0.48,
|
1728 |
-
"learning_rate": 0.00057,
|
1729 |
-
"loss": 5.0577,
|
1730 |
-
"step": 287
|
1731 |
-
},
|
1732 |
-
{
|
1733 |
-
"epoch": 0.48,
|
1734 |
-
"learning_rate": 0.0005719999999999999,
|
1735 |
-
"loss": 4.5367,
|
1736 |
-
"step": 288
|
1737 |
-
},
|
1738 |
-
{
|
1739 |
-
"epoch": 0.49,
|
1740 |
-
"learning_rate": 0.000574,
|
1741 |
-
"loss": 4.7395,
|
1742 |
-
"step": 289
|
1743 |
-
},
|
1744 |
-
{
|
1745 |
-
"epoch": 0.49,
|
1746 |
-
"learning_rate": 0.000576,
|
1747 |
-
"loss": 4.7516,
|
1748 |
-
"step": 290
|
1749 |
-
},
|
1750 |
-
{
|
1751 |
-
"epoch": 0.49,
|
1752 |
-
"learning_rate": 0.000578,
|
1753 |
-
"loss": 4.8814,
|
1754 |
-
"step": 291
|
1755 |
-
},
|
1756 |
-
{
|
1757 |
-
"epoch": 0.49,
|
1758 |
-
"learning_rate": 0.00058,
|
1759 |
-
"loss": 4.7253,
|
1760 |
-
"step": 292
|
1761 |
-
},
|
1762 |
-
{
|
1763 |
-
"epoch": 0.49,
|
1764 |
-
"learning_rate": 0.0005819999999999999,
|
1765 |
-
"loss": 4.8064,
|
1766 |
-
"step": 293
|
1767 |
-
},
|
1768 |
-
{
|
1769 |
-
"epoch": 0.49,
|
1770 |
-
"learning_rate": 0.000584,
|
1771 |
-
"loss": 4.9757,
|
1772 |
-
"step": 294
|
1773 |
-
},
|
1774 |
-
{
|
1775 |
-
"epoch": 0.5,
|
1776 |
-
"learning_rate": 0.0005859999999999999,
|
1777 |
-
"loss": 4.8986,
|
1778 |
-
"step": 295
|
1779 |
-
},
|
1780 |
-
{
|
1781 |
-
"epoch": 0.5,
|
1782 |
-
"learning_rate": 0.000588,
|
1783 |
-
"loss": 4.7132,
|
1784 |
-
"step": 296
|
1785 |
-
},
|
1786 |
-
{
|
1787 |
-
"epoch": 0.5,
|
1788 |
-
"learning_rate": 0.00059,
|
1789 |
-
"loss": 5.6149,
|
1790 |
-
"step": 297
|
1791 |
-
},
|
1792 |
-
{
|
1793 |
-
"epoch": 0.5,
|
1794 |
-
"learning_rate": 0.000592,
|
1795 |
-
"loss": 6.4538,
|
1796 |
-
"step": 298
|
1797 |
-
},
|
1798 |
-
{
|
1799 |
-
"epoch": 0.5,
|
1800 |
-
"learning_rate": 0.000594,
|
1801 |
-
"loss": 5.2126,
|
1802 |
-
"step": 299
|
1803 |
-
},
|
1804 |
-
{
|
1805 |
-
"epoch": 0.5,
|
1806 |
-
"learning_rate": 0.000596,
|
1807 |
-
"loss": 5.7153,
|
1808 |
-
"step": 300
|
1809 |
-
},
|
1810 |
-
{
|
1811 |
-
"epoch": 0.51,
|
1812 |
-
"learning_rate": 0.000598,
|
1813 |
-
"loss": 5.235,
|
1814 |
-
"step": 301
|
1815 |
-
},
|
1816 |
-
{
|
1817 |
-
"epoch": 0.51,
|
1818 |
-
"learning_rate": 0.0006,
|
1819 |
-
"loss": 4.9152,
|
1820 |
-
"step": 302
|
1821 |
-
},
|
1822 |
-
{
|
1823 |
-
"epoch": 0.51,
|
1824 |
-
"learning_rate": 0.000602,
|
1825 |
-
"loss": 5.0532,
|
1826 |
-
"step": 303
|
1827 |
-
},
|
1828 |
-
{
|
1829 |
-
"epoch": 0.51,
|
1830 |
-
"learning_rate": 0.000604,
|
1831 |
-
"loss": 4.7904,
|
1832 |
-
"step": 304
|
1833 |
-
},
|
1834 |
-
{
|
1835 |
-
"epoch": 0.51,
|
1836 |
-
"learning_rate": 0.000606,
|
1837 |
-
"loss": 5.0049,
|
1838 |
-
"step": 305
|
1839 |
-
},
|
1840 |
-
{
|
1841 |
-
"epoch": 0.51,
|
1842 |
-
"learning_rate": 0.000608,
|
1843 |
-
"loss": 4.9579,
|
1844 |
-
"step": 306
|
1845 |
-
},
|
1846 |
-
{
|
1847 |
-
"epoch": 0.52,
|
1848 |
-
"learning_rate": 0.00061,
|
1849 |
-
"loss": 4.8652,
|
1850 |
-
"step": 307
|
1851 |
-
},
|
1852 |
-
{
|
1853 |
-
"epoch": 0.52,
|
1854 |
-
"learning_rate": 0.000612,
|
1855 |
-
"loss": 5.024,
|
1856 |
-
"step": 308
|
1857 |
-
},
|
1858 |
-
{
|
1859 |
-
"epoch": 0.52,
|
1860 |
-
"learning_rate": 0.000614,
|
1861 |
-
"loss": 4.9125,
|
1862 |
-
"step": 309
|
1863 |
-
},
|
1864 |
-
{
|
1865 |
-
"epoch": 0.52,
|
1866 |
-
"learning_rate": 0.000616,
|
1867 |
-
"loss": 4.8775,
|
1868 |
-
"step": 310
|
1869 |
-
},
|
1870 |
-
{
|
1871 |
-
"epoch": 0.52,
|
1872 |
-
"learning_rate": 0.0006180000000000001,
|
1873 |
-
"loss": 4.6219,
|
1874 |
-
"step": 311
|
1875 |
-
},
|
1876 |
-
{
|
1877 |
-
"epoch": 0.52,
|
1878 |
-
"learning_rate": 0.00062,
|
1879 |
-
"loss": 4.9048,
|
1880 |
-
"step": 312
|
1881 |
-
},
|
1882 |
-
{
|
1883 |
-
"epoch": 0.53,
|
1884 |
-
"learning_rate": 0.000622,
|
1885 |
-
"loss": 4.8739,
|
1886 |
-
"step": 313
|
1887 |
-
},
|
1888 |
-
{
|
1889 |
-
"epoch": 0.53,
|
1890 |
-
"learning_rate": 0.000624,
|
1891 |
-
"loss": 4.8017,
|
1892 |
-
"step": 314
|
1893 |
-
},
|
1894 |
-
{
|
1895 |
-
"epoch": 0.53,
|
1896 |
-
"learning_rate": 0.000626,
|
1897 |
-
"loss": 4.7513,
|
1898 |
-
"step": 315
|
1899 |
-
},
|
1900 |
-
{
|
1901 |
-
"epoch": 0.53,
|
1902 |
-
"learning_rate": 0.000628,
|
1903 |
-
"loss": 4.8819,
|
1904 |
-
"step": 316
|
1905 |
-
},
|
1906 |
-
{
|
1907 |
-
"epoch": 0.53,
|
1908 |
-
"learning_rate": 0.00063,
|
1909 |
-
"loss": 4.7052,
|
1910 |
-
"step": 317
|
1911 |
-
},
|
1912 |
-
{
|
1913 |
-
"epoch": 0.53,
|
1914 |
-
"learning_rate": 0.000632,
|
1915 |
-
"loss": 5.1057,
|
1916 |
-
"step": 318
|
1917 |
-
},
|
1918 |
-
{
|
1919 |
-
"epoch": 0.54,
|
1920 |
-
"learning_rate": 0.000634,
|
1921 |
-
"loss": 5.0369,
|
1922 |
-
"step": 319
|
1923 |
-
},
|
1924 |
-
{
|
1925 |
-
"epoch": 0.54,
|
1926 |
-
"learning_rate": 0.0006360000000000001,
|
1927 |
-
"loss": 4.8897,
|
1928 |
-
"step": 320
|
1929 |
-
},
|
1930 |
-
{
|
1931 |
-
"epoch": 0.54,
|
1932 |
-
"learning_rate": 0.000638,
|
1933 |
-
"loss": 4.6517,
|
1934 |
-
"step": 321
|
1935 |
-
},
|
1936 |
-
{
|
1937 |
-
"epoch": 0.54,
|
1938 |
-
"learning_rate": 0.00064,
|
1939 |
-
"loss": 4.662,
|
1940 |
-
"step": 322
|
1941 |
-
},
|
1942 |
-
{
|
1943 |
-
"epoch": 0.54,
|
1944 |
-
"learning_rate": 0.000642,
|
1945 |
-
"loss": 5.0655,
|
1946 |
-
"step": 323
|
1947 |
-
},
|
1948 |
-
{
|
1949 |
-
"epoch": 0.54,
|
1950 |
-
"learning_rate": 0.000644,
|
1951 |
-
"loss": 4.7497,
|
1952 |
-
"step": 324
|
1953 |
-
},
|
1954 |
-
{
|
1955 |
-
"epoch": 0.55,
|
1956 |
-
"learning_rate": 0.000646,
|
1957 |
-
"loss": 4.9575,
|
1958 |
-
"step": 325
|
1959 |
-
},
|
1960 |
-
{
|
1961 |
-
"epoch": 0.55,
|
1962 |
-
"learning_rate": 0.000648,
|
1963 |
-
"loss": 4.8104,
|
1964 |
-
"step": 326
|
1965 |
-
},
|
1966 |
-
{
|
1967 |
-
"epoch": 0.55,
|
1968 |
-
"learning_rate": 0.0006500000000000001,
|
1969 |
-
"loss": 5.0224,
|
1970 |
-
"step": 327
|
1971 |
-
},
|
1972 |
-
{
|
1973 |
-
"epoch": 0.55,
|
1974 |
-
"learning_rate": 0.000652,
|
1975 |
-
"loss": 4.7339,
|
1976 |
-
"step": 328
|
1977 |
-
},
|
1978 |
-
{
|
1979 |
-
"epoch": 0.55,
|
1980 |
-
"learning_rate": 0.0006540000000000001,
|
1981 |
-
"loss": 4.6435,
|
1982 |
-
"step": 329
|
1983 |
-
},
|
1984 |
-
{
|
1985 |
-
"epoch": 0.55,
|
1986 |
-
"learning_rate": 0.000656,
|
1987 |
-
"loss": 4.8785,
|
1988 |
-
"step": 330
|
1989 |
-
},
|
1990 |
-
{
|
1991 |
-
"epoch": 0.56,
|
1992 |
-
"learning_rate": 0.0006580000000000001,
|
1993 |
-
"loss": 4.8467,
|
1994 |
-
"step": 331
|
1995 |
-
},
|
1996 |
-
{
|
1997 |
-
"epoch": 0.56,
|
1998 |
-
"learning_rate": 0.00066,
|
1999 |
-
"loss": 4.6529,
|
2000 |
-
"step": 332
|
2001 |
-
},
|
2002 |
-
{
|
2003 |
-
"epoch": 0.56,
|
2004 |
-
"learning_rate": 0.000662,
|
2005 |
-
"loss": 5.1175,
|
2006 |
-
"step": 333
|
2007 |
-
},
|
2008 |
-
{
|
2009 |
-
"epoch": 0.56,
|
2010 |
-
"learning_rate": 0.0006640000000000001,
|
2011 |
-
"loss": 5.1239,
|
2012 |
-
"step": 334
|
2013 |
-
},
|
2014 |
-
{
|
2015 |
-
"epoch": 0.56,
|
2016 |
-
"learning_rate": 0.000666,
|
2017 |
-
"loss": 4.916,
|
2018 |
-
"step": 335
|
2019 |
-
},
|
2020 |
-
{
|
2021 |
-
"epoch": 0.56,
|
2022 |
-
"learning_rate": 0.0006680000000000001,
|
2023 |
-
"loss": 4.6657,
|
2024 |
-
"step": 336
|
2025 |
-
},
|
2026 |
-
{
|
2027 |
-
"epoch": 0.57,
|
2028 |
-
"learning_rate": 0.00067,
|
2029 |
-
"loss": 4.7292,
|
2030 |
-
"step": 337
|
2031 |
-
},
|
2032 |
-
{
|
2033 |
-
"epoch": 0.57,
|
2034 |
-
"learning_rate": 0.0006720000000000001,
|
2035 |
-
"loss": 4.6982,
|
2036 |
-
"step": 338
|
2037 |
-
},
|
2038 |
-
{
|
2039 |
-
"epoch": 0.57,
|
2040 |
-
"learning_rate": 0.000674,
|
2041 |
-
"loss": 4.689,
|
2042 |
-
"step": 339
|
2043 |
-
},
|
2044 |
-
{
|
2045 |
-
"epoch": 0.57,
|
2046 |
-
"learning_rate": 0.0006760000000000001,
|
2047 |
-
"loss": 5.0327,
|
2048 |
-
"step": 340
|
2049 |
-
},
|
2050 |
-
{
|
2051 |
-
"epoch": 0.57,
|
2052 |
-
"learning_rate": 0.0006780000000000001,
|
2053 |
-
"loss": 4.813,
|
2054 |
-
"step": 341
|
2055 |
-
},
|
2056 |
-
{
|
2057 |
-
"epoch": 0.58,
|
2058 |
-
"learning_rate": 0.00068,
|
2059 |
-
"loss": 4.8782,
|
2060 |
-
"step": 342
|
2061 |
-
},
|
2062 |
-
{
|
2063 |
-
"epoch": 0.58,
|
2064 |
-
"learning_rate": 0.0006820000000000001,
|
2065 |
-
"loss": 4.9557,
|
2066 |
-
"step": 343
|
2067 |
-
},
|
2068 |
-
{
|
2069 |
-
"epoch": 0.58,
|
2070 |
-
"learning_rate": 0.000684,
|
2071 |
-
"loss": 4.9666,
|
2072 |
-
"step": 344
|
2073 |
-
},
|
2074 |
-
{
|
2075 |
-
"epoch": 0.58,
|
2076 |
-
"learning_rate": 0.0006860000000000001,
|
2077 |
-
"loss": 5.353,
|
2078 |
-
"step": 345
|
2079 |
-
},
|
2080 |
-
{
|
2081 |
-
"epoch": 0.58,
|
2082 |
-
"learning_rate": 0.0006879999999999999,
|
2083 |
-
"loss": 4.8186,
|
2084 |
-
"step": 346
|
2085 |
-
},
|
2086 |
-
{
|
2087 |
-
"epoch": 0.58,
|
2088 |
-
"learning_rate": 0.00069,
|
2089 |
-
"loss": 4.7452,
|
2090 |
-
"step": 347
|
2091 |
-
},
|
2092 |
-
{
|
2093 |
-
"epoch": 0.59,
|
2094 |
-
"learning_rate": 0.000692,
|
2095 |
-
"loss": 5.1056,
|
2096 |
-
"step": 348
|
2097 |
-
},
|
2098 |
-
{
|
2099 |
-
"epoch": 0.59,
|
2100 |
-
"learning_rate": 0.000694,
|
2101 |
-
"loss": 4.8236,
|
2102 |
-
"step": 349
|
2103 |
-
},
|
2104 |
-
{
|
2105 |
-
"epoch": 0.59,
|
2106 |
-
"learning_rate": 0.000696,
|
2107 |
-
"loss": 4.9508,
|
2108 |
-
"step": 350
|
2109 |
-
},
|
2110 |
-
{
|
2111 |
-
"epoch": 0.59,
|
2112 |
-
"learning_rate": 0.0006979999999999999,
|
2113 |
-
"loss": 5.2547,
|
2114 |
-
"step": 351
|
2115 |
-
},
|
2116 |
-
{
|
2117 |
-
"epoch": 0.59,
|
2118 |
-
"learning_rate": 0.0007,
|
2119 |
-
"loss": 5.0417,
|
2120 |
-
"step": 352
|
2121 |
-
},
|
2122 |
-
{
|
2123 |
-
"epoch": 0.59,
|
2124 |
-
"learning_rate": 0.0007019999999999999,
|
2125 |
-
"loss": 4.9277,
|
2126 |
-
"step": 353
|
2127 |
-
},
|
2128 |
-
{
|
2129 |
-
"epoch": 0.6,
|
2130 |
-
"learning_rate": 0.000704,
|
2131 |
-
"loss": 4.7628,
|
2132 |
-
"step": 354
|
2133 |
-
},
|
2134 |
-
{
|
2135 |
-
"epoch": 0.6,
|
2136 |
-
"learning_rate": 0.0007059999999999999,
|
2137 |
-
"loss": 4.8104,
|
2138 |
-
"step": 355
|
2139 |
-
},
|
2140 |
-
{
|
2141 |
-
"epoch": 0.6,
|
2142 |
-
"learning_rate": 0.000708,
|
2143 |
-
"loss": 4.8422,
|
2144 |
-
"step": 356
|
2145 |
-
},
|
2146 |
-
{
|
2147 |
-
"epoch": 0.6,
|
2148 |
-
"learning_rate": 0.00071,
|
2149 |
-
"loss": 4.8045,
|
2150 |
-
"step": 357
|
2151 |
-
},
|
2152 |
-
{
|
2153 |
-
"epoch": 0.6,
|
2154 |
-
"learning_rate": 0.000712,
|
2155 |
-
"loss": 4.9178,
|
2156 |
-
"step": 358
|
2157 |
-
},
|
2158 |
-
{
|
2159 |
-
"epoch": 0.6,
|
2160 |
-
"learning_rate": 0.000714,
|
2161 |
-
"loss": 4.8115,
|
2162 |
-
"step": 359
|
2163 |
-
},
|
2164 |
-
{
|
2165 |
-
"epoch": 0.61,
|
2166 |
-
"learning_rate": 0.000716,
|
2167 |
-
"loss": 5.0046,
|
2168 |
-
"step": 360
|
2169 |
-
},
|
2170 |
-
{
|
2171 |
-
"epoch": 0.61,
|
2172 |
-
"learning_rate": 0.000718,
|
2173 |
-
"loss": 4.8284,
|
2174 |
-
"step": 361
|
2175 |
-
},
|
2176 |
-
{
|
2177 |
-
"epoch": 0.61,
|
2178 |
-
"learning_rate": 0.0007199999999999999,
|
2179 |
-
"loss": 4.746,
|
2180 |
-
"step": 362
|
2181 |
-
},
|
2182 |
-
{
|
2183 |
-
"epoch": 0.61,
|
2184 |
-
"learning_rate": 0.000722,
|
2185 |
-
"loss": 5.0836,
|
2186 |
-
"step": 363
|
2187 |
-
},
|
2188 |
-
{
|
2189 |
-
"epoch": 0.61,
|
2190 |
-
"learning_rate": 0.000724,
|
2191 |
-
"loss": 4.7086,
|
2192 |
-
"step": 364
|
2193 |
-
},
|
2194 |
-
{
|
2195 |
-
"epoch": 0.61,
|
2196 |
-
"learning_rate": 0.000726,
|
2197 |
-
"loss": 4.8806,
|
2198 |
-
"step": 365
|
2199 |
-
},
|
2200 |
-
{
|
2201 |
-
"epoch": 0.62,
|
2202 |
-
"learning_rate": 0.000728,
|
2203 |
-
"loss": 4.7059,
|
2204 |
-
"step": 366
|
2205 |
-
},
|
2206 |
-
{
|
2207 |
-
"epoch": 0.62,
|
2208 |
-
"learning_rate": 0.00073,
|
2209 |
-
"loss": 4.8378,
|
2210 |
-
"step": 367
|
2211 |
-
},
|
2212 |
-
{
|
2213 |
-
"epoch": 0.62,
|
2214 |
-
"learning_rate": 0.000732,
|
2215 |
-
"loss": 4.8017,
|
2216 |
-
"step": 368
|
2217 |
-
},
|
2218 |
-
{
|
2219 |
-
"epoch": 0.62,
|
2220 |
-
"learning_rate": 0.000734,
|
2221 |
-
"loss": 4.8343,
|
2222 |
-
"step": 369
|
2223 |
-
},
|
2224 |
-
{
|
2225 |
-
"epoch": 0.62,
|
2226 |
-
"learning_rate": 0.000736,
|
2227 |
-
"loss": 5.0083,
|
2228 |
-
"step": 370
|
2229 |
-
},
|
2230 |
-
{
|
2231 |
-
"epoch": 0.62,
|
2232 |
-
"learning_rate": 0.000738,
|
2233 |
-
"loss": 4.7563,
|
2234 |
-
"step": 371
|
2235 |
-
},
|
2236 |
-
{
|
2237 |
-
"epoch": 0.63,
|
2238 |
-
"learning_rate": 0.00074,
|
2239 |
-
"loss": 4.7571,
|
2240 |
-
"step": 372
|
2241 |
-
},
|
2242 |
-
{
|
2243 |
-
"epoch": 0.63,
|
2244 |
-
"learning_rate": 0.000742,
|
2245 |
-
"loss": 4.7098,
|
2246 |
-
"step": 373
|
2247 |
-
},
|
2248 |
-
{
|
2249 |
-
"epoch": 0.63,
|
2250 |
-
"learning_rate": 0.000744,
|
2251 |
-
"loss": 5.308,
|
2252 |
-
"step": 374
|
2253 |
-
},
|
2254 |
-
{
|
2255 |
-
"epoch": 0.63,
|
2256 |
-
"learning_rate": 0.000746,
|
2257 |
-
"loss": 5.0252,
|
2258 |
-
"step": 375
|
2259 |
-
},
|
2260 |
-
{
|
2261 |
-
"epoch": 0.63,
|
2262 |
-
"learning_rate": 0.000748,
|
2263 |
-
"loss": 5.1313,
|
2264 |
-
"step": 376
|
2265 |
-
},
|
2266 |
-
{
|
2267 |
-
"epoch": 0.63,
|
2268 |
-
"learning_rate": 0.00075,
|
2269 |
-
"loss": 4.8109,
|
2270 |
-
"step": 377
|
2271 |
-
},
|
2272 |
-
{
|
2273 |
-
"epoch": 0.64,
|
2274 |
-
"learning_rate": 0.0007520000000000001,
|
2275 |
-
"loss": 4.8508,
|
2276 |
-
"step": 378
|
2277 |
-
},
|
2278 |
-
{
|
2279 |
-
"epoch": 0.64,
|
2280 |
-
"learning_rate": 0.000754,
|
2281 |
-
"loss": 4.8471,
|
2282 |
-
"step": 379
|
2283 |
-
},
|
2284 |
-
{
|
2285 |
-
"epoch": 0.64,
|
2286 |
-
"learning_rate": 0.000756,
|
2287 |
-
"loss": 4.9023,
|
2288 |
-
"step": 380
|
2289 |
-
},
|
2290 |
-
{
|
2291 |
-
"epoch": 0.64,
|
2292 |
-
"learning_rate": 0.000758,
|
2293 |
-
"loss": 4.9553,
|
2294 |
-
"step": 381
|
2295 |
-
},
|
2296 |
-
{
|
2297 |
-
"epoch": 0.64,
|
2298 |
-
"learning_rate": 0.00076,
|
2299 |
-
"loss": 4.7834,
|
2300 |
-
"step": 382
|
2301 |
-
},
|
2302 |
-
{
|
2303 |
-
"epoch": 0.64,
|
2304 |
-
"learning_rate": 0.000762,
|
2305 |
-
"loss": 5.1141,
|
2306 |
-
"step": 383
|
2307 |
-
},
|
2308 |
-
{
|
2309 |
-
"epoch": 0.65,
|
2310 |
-
"learning_rate": 0.000764,
|
2311 |
-
"loss": 4.8394,
|
2312 |
-
"step": 384
|
2313 |
-
},
|
2314 |
-
{
|
2315 |
-
"epoch": 0.65,
|
2316 |
-
"learning_rate": 0.0007660000000000001,
|
2317 |
-
"loss": 4.8951,
|
2318 |
-
"step": 385
|
2319 |
-
},
|
2320 |
-
{
|
2321 |
-
"epoch": 0.65,
|
2322 |
-
"learning_rate": 0.000768,
|
2323 |
-
"loss": 4.9039,
|
2324 |
-
"step": 386
|
2325 |
-
},
|
2326 |
-
{
|
2327 |
-
"epoch": 0.65,
|
2328 |
-
"learning_rate": 0.0007700000000000001,
|
2329 |
-
"loss": 5.2676,
|
2330 |
-
"step": 387
|
2331 |
-
},
|
2332 |
-
{
|
2333 |
-
"epoch": 0.65,
|
2334 |
-
"learning_rate": 0.000772,
|
2335 |
-
"loss": 4.8199,
|
2336 |
-
"step": 388
|
2337 |
-
},
|
2338 |
-
{
|
2339 |
-
"epoch": 0.65,
|
2340 |
-
"learning_rate": 0.0007740000000000001,
|
2341 |
-
"loss": 4.7974,
|
2342 |
-
"step": 389
|
2343 |
-
},
|
2344 |
-
{
|
2345 |
-
"epoch": 0.66,
|
2346 |
-
"learning_rate": 0.000776,
|
2347 |
-
"loss": 4.8914,
|
2348 |
-
"step": 390
|
2349 |
-
},
|
2350 |
-
{
|
2351 |
-
"epoch": 0.66,
|
2352 |
-
"learning_rate": 0.000778,
|
2353 |
-
"loss": 4.965,
|
2354 |
-
"step": 391
|
2355 |
-
},
|
2356 |
-
{
|
2357 |
-
"epoch": 0.66,
|
2358 |
-
"learning_rate": 0.0007800000000000001,
|
2359 |
-
"loss": 5.3528,
|
2360 |
-
"step": 392
|
2361 |
-
},
|
2362 |
-
{
|
2363 |
-
"epoch": 0.66,
|
2364 |
-
"learning_rate": 0.000782,
|
2365 |
-
"loss": 5.4938,
|
2366 |
-
"step": 393
|
2367 |
-
},
|
2368 |
-
{
|
2369 |
-
"epoch": 0.66,
|
2370 |
-
"learning_rate": 0.0007840000000000001,
|
2371 |
-
"loss": 5.1061,
|
2372 |
-
"step": 394
|
2373 |
-
},
|
2374 |
-
{
|
2375 |
-
"epoch": 0.66,
|
2376 |
-
"learning_rate": 0.000786,
|
2377 |
-
"loss": 5.2562,
|
2378 |
-
"step": 395
|
2379 |
-
},
|
2380 |
-
{
|
2381 |
-
"epoch": 0.67,
|
2382 |
-
"learning_rate": 0.0007880000000000001,
|
2383 |
-
"loss": 5.2242,
|
2384 |
-
"step": 396
|
2385 |
-
},
|
2386 |
-
{
|
2387 |
-
"epoch": 0.67,
|
2388 |
-
"learning_rate": 0.00079,
|
2389 |
-
"loss": 5.0489,
|
2390 |
-
"step": 397
|
2391 |
-
},
|
2392 |
-
{
|
2393 |
-
"epoch": 0.67,
|
2394 |
-
"learning_rate": 0.0007920000000000001,
|
2395 |
-
"loss": 5.7935,
|
2396 |
-
"step": 398
|
2397 |
-
},
|
2398 |
-
{
|
2399 |
-
"epoch": 0.67,
|
2400 |
-
"learning_rate": 0.0007940000000000001,
|
2401 |
-
"loss": 5.1701,
|
2402 |
-
"step": 399
|
2403 |
-
},
|
2404 |
-
{
|
2405 |
-
"epoch": 0.67,
|
2406 |
-
"learning_rate": 0.000796,
|
2407 |
-
"loss": 4.8904,
|
2408 |
-
"step": 400
|
2409 |
-
},
|
2410 |
-
{
|
2411 |
-
"epoch": 0.67,
|
2412 |
-
"learning_rate": 0.0007980000000000001,
|
2413 |
-
"loss": 5.0654,
|
2414 |
-
"step": 401
|
2415 |
-
},
|
2416 |
-
{
|
2417 |
-
"epoch": 0.68,
|
2418 |
-
"learning_rate": 0.0008,
|
2419 |
-
"loss": 4.8698,
|
2420 |
-
"step": 402
|
2421 |
-
},
|
2422 |
-
{
|
2423 |
-
"epoch": 0.68,
|
2424 |
-
"learning_rate": 0.0008020000000000001,
|
2425 |
-
"loss": 4.9322,
|
2426 |
-
"step": 403
|
2427 |
-
},
|
2428 |
-
{
|
2429 |
-
"epoch": 0.68,
|
2430 |
-
"learning_rate": 0.000804,
|
2431 |
-
"loss": 4.8403,
|
2432 |
-
"step": 404
|
2433 |
-
},
|
2434 |
-
{
|
2435 |
-
"epoch": 0.68,
|
2436 |
-
"learning_rate": 0.0008060000000000001,
|
2437 |
-
"loss": 4.8574,
|
2438 |
-
"step": 405
|
2439 |
-
},
|
2440 |
-
{
|
2441 |
-
"epoch": 0.68,
|
2442 |
-
"learning_rate": 0.000808,
|
2443 |
-
"loss": 4.742,
|
2444 |
-
"step": 406
|
2445 |
-
},
|
2446 |
-
{
|
2447 |
-
"epoch": 0.68,
|
2448 |
-
"learning_rate": 0.0008100000000000001,
|
2449 |
-
"loss": 5.2273,
|
2450 |
-
"step": 407
|
2451 |
-
},
|
2452 |
-
{
|
2453 |
-
"epoch": 0.69,
|
2454 |
-
"learning_rate": 0.0008120000000000001,
|
2455 |
-
"loss": 4.7645,
|
2456 |
-
"step": 408
|
2457 |
-
},
|
2458 |
-
{
|
2459 |
-
"epoch": 0.69,
|
2460 |
-
"learning_rate": 0.0008139999999999999,
|
2461 |
-
"loss": 4.752,
|
2462 |
-
"step": 409
|
2463 |
-
},
|
2464 |
-
{
|
2465 |
-
"epoch": 0.69,
|
2466 |
-
"learning_rate": 0.000816,
|
2467 |
-
"loss": 4.7622,
|
2468 |
-
"step": 410
|
2469 |
-
},
|
2470 |
-
{
|
2471 |
-
"epoch": 0.69,
|
2472 |
-
"learning_rate": 0.0008179999999999999,
|
2473 |
-
"loss": 4.688,
|
2474 |
-
"step": 411
|
2475 |
-
},
|
2476 |
-
{
|
2477 |
-
"epoch": 0.69,
|
2478 |
-
"learning_rate": 0.00082,
|
2479 |
-
"loss": 4.929,
|
2480 |
-
"step": 412
|
2481 |
-
},
|
2482 |
-
{
|
2483 |
-
"epoch": 0.69,
|
2484 |
-
"learning_rate": 0.0008219999999999999,
|
2485 |
-
"loss": 4.886,
|
2486 |
-
"step": 413
|
2487 |
-
},
|
2488 |
-
{
|
2489 |
-
"epoch": 0.7,
|
2490 |
-
"learning_rate": 0.000824,
|
2491 |
-
"loss": 4.9073,
|
2492 |
-
"step": 414
|
2493 |
-
},
|
2494 |
-
{
|
2495 |
-
"epoch": 0.7,
|
2496 |
-
"learning_rate": 0.000826,
|
2497 |
-
"loss": 4.8768,
|
2498 |
-
"step": 415
|
2499 |
-
},
|
2500 |
-
{
|
2501 |
-
"epoch": 0.7,
|
2502 |
-
"learning_rate": 0.000828,
|
2503 |
-
"loss": 4.7801,
|
2504 |
-
"step": 416
|
2505 |
-
},
|
2506 |
-
{
|
2507 |
-
"epoch": 0.7,
|
2508 |
-
"learning_rate": 0.00083,
|
2509 |
-
"loss": 4.734,
|
2510 |
-
"step": 417
|
2511 |
-
},
|
2512 |
-
{
|
2513 |
-
"epoch": 0.7,
|
2514 |
-
"learning_rate": 0.000832,
|
2515 |
-
"loss": 4.4348,
|
2516 |
-
"step": 418
|
2517 |
-
},
|
2518 |
-
{
|
2519 |
-
"epoch": 0.7,
|
2520 |
-
"learning_rate": 0.000834,
|
2521 |
-
"loss": 4.8986,
|
2522 |
-
"step": 419
|
2523 |
-
},
|
2524 |
-
{
|
2525 |
-
"epoch": 0.71,
|
2526 |
-
"learning_rate": 0.0008359999999999999,
|
2527 |
-
"loss": 4.8039,
|
2528 |
-
"step": 420
|
2529 |
-
},
|
2530 |
-
{
|
2531 |
-
"epoch": 0.71,
|
2532 |
-
"learning_rate": 0.000838,
|
2533 |
-
"loss": 4.4695,
|
2534 |
-
"step": 421
|
2535 |
-
},
|
2536 |
-
{
|
2537 |
-
"epoch": 0.71,
|
2538 |
-
"learning_rate": 0.00084,
|
2539 |
-
"loss": 4.6531,
|
2540 |
-
"step": 422
|
2541 |
-
},
|
2542 |
-
{
|
2543 |
-
"epoch": 0.71,
|
2544 |
-
"learning_rate": 0.000842,
|
2545 |
-
"loss": 4.8529,
|
2546 |
-
"step": 423
|
2547 |
-
},
|
2548 |
-
{
|
2549 |
-
"epoch": 0.71,
|
2550 |
-
"learning_rate": 0.000844,
|
2551 |
-
"loss": 4.7331,
|
2552 |
-
"step": 424
|
2553 |
-
},
|
2554 |
-
{
|
2555 |
-
"epoch": 0.71,
|
2556 |
-
"learning_rate": 0.000846,
|
2557 |
-
"loss": 4.8075,
|
2558 |
-
"step": 425
|
2559 |
-
},
|
2560 |
-
{
|
2561 |
-
"epoch": 0.72,
|
2562 |
-
"learning_rate": 0.000848,
|
2563 |
-
"loss": 4.8201,
|
2564 |
-
"step": 426
|
2565 |
-
},
|
2566 |
-
{
|
2567 |
-
"epoch": 0.72,
|
2568 |
-
"learning_rate": 0.00085,
|
2569 |
-
"loss": 4.5947,
|
2570 |
-
"step": 427
|
2571 |
-
},
|
2572 |
-
{
|
2573 |
-
"epoch": 0.72,
|
2574 |
-
"learning_rate": 0.000852,
|
2575 |
-
"loss": 4.5512,
|
2576 |
-
"step": 428
|
2577 |
-
},
|
2578 |
-
{
|
2579 |
-
"epoch": 0.72,
|
2580 |
-
"learning_rate": 0.000854,
|
2581 |
-
"loss": 4.9711,
|
2582 |
-
"step": 429
|
2583 |
-
},
|
2584 |
-
{
|
2585 |
-
"epoch": 0.72,
|
2586 |
-
"learning_rate": 0.000856,
|
2587 |
-
"loss": 4.742,
|
2588 |
-
"step": 430
|
2589 |
-
},
|
2590 |
-
{
|
2591 |
-
"epoch": 0.72,
|
2592 |
-
"learning_rate": 0.000858,
|
2593 |
-
"loss": 5.1297,
|
2594 |
-
"step": 431
|
2595 |
-
},
|
2596 |
-
{
|
2597 |
-
"epoch": 0.73,
|
2598 |
-
"learning_rate": 0.00086,
|
2599 |
-
"loss": 4.6386,
|
2600 |
-
"step": 432
|
2601 |
-
},
|
2602 |
-
{
|
2603 |
-
"epoch": 0.73,
|
2604 |
-
"learning_rate": 0.000862,
|
2605 |
-
"loss": 4.9415,
|
2606 |
-
"step": 433
|
2607 |
-
},
|
2608 |
-
{
|
2609 |
-
"epoch": 0.73,
|
2610 |
-
"learning_rate": 0.000864,
|
2611 |
-
"loss": 4.808,
|
2612 |
-
"step": 434
|
2613 |
-
},
|
2614 |
-
{
|
2615 |
-
"epoch": 0.73,
|
2616 |
-
"learning_rate": 0.000866,
|
2617 |
-
"loss": 4.9157,
|
2618 |
-
"step": 435
|
2619 |
-
},
|
2620 |
-
{
|
2621 |
-
"epoch": 0.73,
|
2622 |
-
"learning_rate": 0.0008680000000000001,
|
2623 |
-
"loss": 4.7158,
|
2624 |
-
"step": 436
|
2625 |
-
},
|
2626 |
-
{
|
2627 |
-
"epoch": 0.73,
|
2628 |
-
"learning_rate": 0.00087,
|
2629 |
-
"loss": 4.8154,
|
2630 |
-
"step": 437
|
2631 |
-
},
|
2632 |
-
{
|
2633 |
-
"epoch": 0.74,
|
2634 |
-
"learning_rate": 0.000872,
|
2635 |
-
"loss": 4.7926,
|
2636 |
-
"step": 438
|
2637 |
-
},
|
2638 |
-
{
|
2639 |
-
"epoch": 0.74,
|
2640 |
-
"learning_rate": 0.000874,
|
2641 |
-
"loss": 4.936,
|
2642 |
-
"step": 439
|
2643 |
-
},
|
2644 |
-
{
|
2645 |
-
"epoch": 0.74,
|
2646 |
-
"learning_rate": 0.000876,
|
2647 |
-
"loss": 5.1139,
|
2648 |
-
"step": 440
|
2649 |
-
},
|
2650 |
-
{
|
2651 |
-
"epoch": 0.74,
|
2652 |
-
"learning_rate": 0.000878,
|
2653 |
-
"loss": 5.2978,
|
2654 |
-
"step": 441
|
2655 |
-
},
|
2656 |
-
{
|
2657 |
-
"epoch": 0.74,
|
2658 |
-
"learning_rate": 0.00088,
|
2659 |
-
"loss": 6.1523,
|
2660 |
-
"step": 442
|
2661 |
-
},
|
2662 |
-
{
|
2663 |
-
"epoch": 0.74,
|
2664 |
-
"learning_rate": 0.000882,
|
2665 |
-
"loss": 5.2146,
|
2666 |
-
"step": 443
|
2667 |
-
},
|
2668 |
-
{
|
2669 |
-
"epoch": 0.75,
|
2670 |
-
"learning_rate": 0.000884,
|
2671 |
-
"loss": 5.0577,
|
2672 |
-
"step": 444
|
2673 |
-
},
|
2674 |
-
{
|
2675 |
-
"epoch": 0.75,
|
2676 |
-
"learning_rate": 0.0008860000000000001,
|
2677 |
-
"loss": 4.7544,
|
2678 |
-
"step": 445
|
2679 |
-
},
|
2680 |
-
{
|
2681 |
-
"epoch": 0.75,
|
2682 |
-
"learning_rate": 0.000888,
|
2683 |
-
"loss": 4.9598,
|
2684 |
-
"step": 446
|
2685 |
-
},
|
2686 |
-
{
|
2687 |
-
"epoch": 0.75,
|
2688 |
-
"learning_rate": 0.0008900000000000001,
|
2689 |
-
"loss": 4.9329,
|
2690 |
-
"step": 447
|
2691 |
-
},
|
2692 |
-
{
|
2693 |
-
"epoch": 0.75,
|
2694 |
-
"learning_rate": 0.000892,
|
2695 |
-
"loss": 4.969,
|
2696 |
-
"step": 448
|
2697 |
-
},
|
2698 |
-
{
|
2699 |
-
"epoch": 0.75,
|
2700 |
-
"learning_rate": 0.000894,
|
2701 |
-
"loss": 5.5613,
|
2702 |
-
"step": 449
|
2703 |
-
},
|
2704 |
-
{
|
2705 |
-
"epoch": 0.76,
|
2706 |
-
"learning_rate": 0.000896,
|
2707 |
-
"loss": 5.0466,
|
2708 |
-
"step": 450
|
2709 |
-
},
|
2710 |
-
{
|
2711 |
-
"epoch": 0.76,
|
2712 |
-
"learning_rate": 0.000898,
|
2713 |
-
"loss": 5.0624,
|
2714 |
-
"step": 451
|
2715 |
-
},
|
2716 |
-
{
|
2717 |
-
"epoch": 0.76,
|
2718 |
-
"learning_rate": 0.0009000000000000001,
|
2719 |
-
"loss": 5.1022,
|
2720 |
-
"step": 452
|
2721 |
-
},
|
2722 |
-
{
|
2723 |
-
"epoch": 0.76,
|
2724 |
-
"learning_rate": 0.000902,
|
2725 |
-
"loss": 4.892,
|
2726 |
-
"step": 453
|
2727 |
-
},
|
2728 |
-
{
|
2729 |
-
"epoch": 0.76,
|
2730 |
-
"learning_rate": 0.0009040000000000001,
|
2731 |
-
"loss": 4.9988,
|
2732 |
-
"step": 454
|
2733 |
-
},
|
2734 |
-
{
|
2735 |
-
"epoch": 0.77,
|
2736 |
-
"learning_rate": 0.000906,
|
2737 |
-
"loss": 5.0485,
|
2738 |
-
"step": 455
|
2739 |
-
},
|
2740 |
-
{
|
2741 |
-
"epoch": 0.77,
|
2742 |
-
"learning_rate": 0.0009080000000000001,
|
2743 |
-
"loss": 4.9697,
|
2744 |
-
"step": 456
|
2745 |
-
},
|
2746 |
-
{
|
2747 |
-
"epoch": 0.77,
|
2748 |
-
"learning_rate": 0.00091,
|
2749 |
-
"loss": 5.1938,
|
2750 |
-
"step": 457
|
2751 |
-
},
|
2752 |
-
{
|
2753 |
-
"epoch": 0.77,
|
2754 |
-
"learning_rate": 0.000912,
|
2755 |
-
"loss": 5.1972,
|
2756 |
-
"step": 458
|
2757 |
-
},
|
2758 |
-
{
|
2759 |
-
"epoch": 0.77,
|
2760 |
-
"learning_rate": 0.0009140000000000001,
|
2761 |
-
"loss": 5.088,
|
2762 |
-
"step": 459
|
2763 |
-
},
|
2764 |
-
{
|
2765 |
-
"epoch": 0.77,
|
2766 |
-
"learning_rate": 0.000916,
|
2767 |
-
"loss": 4.9671,
|
2768 |
-
"step": 460
|
2769 |
-
},
|
2770 |
-
{
|
2771 |
-
"epoch": 0.78,
|
2772 |
-
"learning_rate": 0.0009180000000000001,
|
2773 |
-
"loss": 5.0251,
|
2774 |
-
"step": 461
|
2775 |
-
},
|
2776 |
-
{
|
2777 |
-
"epoch": 0.78,
|
2778 |
-
"learning_rate": 0.00092,
|
2779 |
-
"loss": 4.7734,
|
2780 |
-
"step": 462
|
2781 |
-
},
|
2782 |
-
{
|
2783 |
-
"epoch": 0.78,
|
2784 |
-
"learning_rate": 0.0009220000000000001,
|
2785 |
-
"loss": 4.8,
|
2786 |
-
"step": 463
|
2787 |
-
},
|
2788 |
-
{
|
2789 |
-
"epoch": 0.78,
|
2790 |
-
"learning_rate": 0.000924,
|
2791 |
-
"loss": 5.2001,
|
2792 |
-
"step": 464
|
2793 |
-
},
|
2794 |
-
{
|
2795 |
-
"epoch": 0.78,
|
2796 |
-
"learning_rate": 0.0009260000000000001,
|
2797 |
-
"loss": 5.2366,
|
2798 |
-
"step": 465
|
2799 |
-
},
|
2800 |
-
{
|
2801 |
-
"epoch": 0.78,
|
2802 |
-
"learning_rate": 0.0009280000000000001,
|
2803 |
-
"loss": 5.0479,
|
2804 |
-
"step": 466
|
2805 |
-
},
|
2806 |
-
{
|
2807 |
-
"epoch": 0.79,
|
2808 |
-
"learning_rate": 0.00093,
|
2809 |
-
"loss": 4.9839,
|
2810 |
-
"step": 467
|
2811 |
-
},
|
2812 |
-
{
|
2813 |
-
"epoch": 0.79,
|
2814 |
-
"learning_rate": 0.0009320000000000001,
|
2815 |
-
"loss": 4.8302,
|
2816 |
-
"step": 468
|
2817 |
-
},
|
2818 |
-
{
|
2819 |
-
"epoch": 0.79,
|
2820 |
-
"learning_rate": 0.000934,
|
2821 |
-
"loss": 5.0382,
|
2822 |
-
"step": 469
|
2823 |
-
},
|
2824 |
-
{
|
2825 |
-
"epoch": 0.79,
|
2826 |
-
"learning_rate": 0.0009360000000000001,
|
2827 |
-
"loss": 4.7301,
|
2828 |
-
"step": 470
|
2829 |
-
},
|
2830 |
-
{
|
2831 |
-
"epoch": 0.79,
|
2832 |
-
"learning_rate": 0.0009379999999999999,
|
2833 |
-
"loss": 4.8497,
|
2834 |
-
"step": 471
|
2835 |
-
},
|
2836 |
-
{
|
2837 |
-
"epoch": 0.79,
|
2838 |
-
"learning_rate": 0.00094,
|
2839 |
-
"loss": 4.819,
|
2840 |
-
"step": 472
|
2841 |
-
},
|
2842 |
-
{
|
2843 |
-
"epoch": 0.8,
|
2844 |
-
"learning_rate": 0.000942,
|
2845 |
-
"loss": 4.9396,
|
2846 |
-
"step": 473
|
2847 |
-
},
|
2848 |
-
{
|
2849 |
-
"epoch": 0.8,
|
2850 |
-
"learning_rate": 0.000944,
|
2851 |
-
"loss": 4.8436,
|
2852 |
-
"step": 474
|
2853 |
-
},
|
2854 |
-
{
|
2855 |
-
"epoch": 0.8,
|
2856 |
-
"learning_rate": 0.000946,
|
2857 |
-
"loss": 4.8317,
|
2858 |
-
"step": 475
|
2859 |
-
},
|
2860 |
-
{
|
2861 |
-
"epoch": 0.8,
|
2862 |
-
"learning_rate": 0.000948,
|
2863 |
-
"loss": 5.2336,
|
2864 |
-
"step": 476
|
2865 |
-
},
|
2866 |
-
{
|
2867 |
-
"epoch": 0.8,
|
2868 |
-
"learning_rate": 0.00095,
|
2869 |
-
"loss": 4.9405,
|
2870 |
-
"step": 477
|
2871 |
-
},
|
2872 |
-
{
|
2873 |
-
"epoch": 0.8,
|
2874 |
-
"learning_rate": 0.0009519999999999999,
|
2875 |
-
"loss": 4.927,
|
2876 |
-
"step": 478
|
2877 |
-
},
|
2878 |
-
{
|
2879 |
-
"epoch": 0.81,
|
2880 |
-
"learning_rate": 0.000954,
|
2881 |
-
"loss": 4.6957,
|
2882 |
-
"step": 479
|
2883 |
-
},
|
2884 |
-
{
|
2885 |
-
"epoch": 0.81,
|
2886 |
-
"learning_rate": 0.0009559999999999999,
|
2887 |
-
"loss": 4.625,
|
2888 |
-
"step": 480
|
2889 |
-
},
|
2890 |
-
{
|
2891 |
-
"epoch": 0.81,
|
2892 |
-
"learning_rate": 0.000958,
|
2893 |
-
"loss": 5.3568,
|
2894 |
-
"step": 481
|
2895 |
-
},
|
2896 |
-
{
|
2897 |
-
"epoch": 0.81,
|
2898 |
-
"learning_rate": 0.00096,
|
2899 |
-
"loss": 5.7506,
|
2900 |
-
"step": 482
|
2901 |
-
},
|
2902 |
-
{
|
2903 |
-
"epoch": 0.81,
|
2904 |
-
"learning_rate": 0.000962,
|
2905 |
-
"loss": 5.1788,
|
2906 |
-
"step": 483
|
2907 |
-
},
|
2908 |
-
{
|
2909 |
-
"epoch": 0.81,
|
2910 |
-
"learning_rate": 0.000964,
|
2911 |
-
"loss": 5.0361,
|
2912 |
-
"step": 484
|
2913 |
-
},
|
2914 |
-
{
|
2915 |
-
"epoch": 0.82,
|
2916 |
-
"learning_rate": 0.000966,
|
2917 |
-
"loss": 4.8903,
|
2918 |
-
"step": 485
|
2919 |
-
},
|
2920 |
-
{
|
2921 |
-
"epoch": 0.82,
|
2922 |
-
"learning_rate": 0.000968,
|
2923 |
-
"loss": 4.8917,
|
2924 |
-
"step": 486
|
2925 |
-
},
|
2926 |
-
{
|
2927 |
-
"epoch": 0.82,
|
2928 |
-
"learning_rate": 0.0009699999999999999,
|
2929 |
-
"loss": 4.8628,
|
2930 |
-
"step": 487
|
2931 |
-
},
|
2932 |
-
{
|
2933 |
-
"epoch": 0.82,
|
2934 |
-
"learning_rate": 0.000972,
|
2935 |
-
"loss": 4.8763,
|
2936 |
-
"step": 488
|
2937 |
-
},
|
2938 |
-
{
|
2939 |
-
"epoch": 0.82,
|
2940 |
-
"learning_rate": 0.000974,
|
2941 |
-
"loss": 5.002,
|
2942 |
-
"step": 489
|
2943 |
-
},
|
2944 |
-
{
|
2945 |
-
"epoch": 0.82,
|
2946 |
-
"learning_rate": 0.000976,
|
2947 |
-
"loss": 4.7335,
|
2948 |
-
"step": 490
|
2949 |
-
},
|
2950 |
-
{
|
2951 |
-
"epoch": 0.83,
|
2952 |
-
"learning_rate": 0.000978,
|
2953 |
-
"loss": 4.9556,
|
2954 |
-
"step": 491
|
2955 |
-
},
|
2956 |
-
{
|
2957 |
-
"epoch": 0.83,
|
2958 |
-
"learning_rate": 0.00098,
|
2959 |
-
"loss": 4.9359,
|
2960 |
-
"step": 492
|
2961 |
-
},
|
2962 |
-
{
|
2963 |
-
"epoch": 0.83,
|
2964 |
-
"learning_rate": 0.000982,
|
2965 |
-
"loss": 4.715,
|
2966 |
-
"step": 493
|
2967 |
-
},
|
2968 |
-
{
|
2969 |
-
"epoch": 0.83,
|
2970 |
-
"learning_rate": 0.000984,
|
2971 |
-
"loss": 4.8199,
|
2972 |
-
"step": 494
|
2973 |
-
},
|
2974 |
-
{
|
2975 |
-
"epoch": 0.83,
|
2976 |
-
"learning_rate": 0.0009860000000000001,
|
2977 |
-
"loss": 4.9607,
|
2978 |
-
"step": 495
|
2979 |
-
},
|
2980 |
-
{
|
2981 |
-
"epoch": 0.83,
|
2982 |
-
"learning_rate": 0.000988,
|
2983 |
-
"loss": 5.1614,
|
2984 |
-
"step": 496
|
2985 |
-
},
|
2986 |
-
{
|
2987 |
-
"epoch": 0.84,
|
2988 |
-
"learning_rate": 0.00099,
|
2989 |
-
"loss": 4.9319,
|
2990 |
-
"step": 497
|
2991 |
-
},
|
2992 |
-
{
|
2993 |
-
"epoch": 0.84,
|
2994 |
-
"learning_rate": 0.000992,
|
2995 |
-
"loss": 4.8599,
|
2996 |
-
"step": 498
|
2997 |
-
},
|
2998 |
-
{
|
2999 |
-
"epoch": 0.84,
|
3000 |
-
"learning_rate": 0.000994,
|
3001 |
-
"loss": 4.9016,
|
3002 |
-
"step": 499
|
3003 |
-
},
|
3004 |
-
{
|
3005 |
-
"epoch": 0.84,
|
3006 |
-
"learning_rate": 0.000996,
|
3007 |
-
"loss": 4.8633,
|
3008 |
-
"step": 500
|
3009 |
-
},
|
3010 |
-
{
|
3011 |
-
"epoch": 0.84,
|
3012 |
-
"eval_loss": 5.217503070831299,
|
3013 |
-
"eval_runtime": 761.5786,
|
3014 |
-
"eval_samples_per_second": 3.469,
|
3015 |
-
"eval_steps_per_second": 0.29,
|
3016 |
-
"eval_wer": 2.0223324077746927,
|
3017 |
-
"step": 500
|
3018 |
-
},
|
3019 |
-
{
|
3020 |
-
"epoch": 0.84,
|
3021 |
-
"learning_rate": 0.000998,
|
3022 |
-
"loss": 5.0821,
|
3023 |
-
"step": 501
|
3024 |
-
},
|
3025 |
-
{
|
3026 |
-
"epoch": 0.84,
|
3027 |
-
"learning_rate": 0.001,
|
3028 |
-
"loss": 4.9581,
|
3029 |
-
"step": 502
|
3030 |
-
},
|
3031 |
-
{
|
3032 |
-
"epoch": 0.85,
|
3033 |
-
"learning_rate": 0.0009893617021276596,
|
3034 |
-
"loss": 4.9624,
|
3035 |
-
"step": 503
|
3036 |
-
},
|
3037 |
-
{
|
3038 |
-
"epoch": 0.85,
|
3039 |
-
"learning_rate": 0.0009787234042553192,
|
3040 |
-
"loss": 5.1349,
|
3041 |
-
"step": 504
|
3042 |
-
},
|
3043 |
-
{
|
3044 |
-
"epoch": 0.85,
|
3045 |
-
"learning_rate": 0.0009680851063829787,
|
3046 |
-
"loss": 5.0018,
|
3047 |
-
"step": 505
|
3048 |
-
},
|
3049 |
-
{
|
3050 |
-
"epoch": 0.85,
|
3051 |
-
"learning_rate": 0.0009574468085106384,
|
3052 |
-
"loss": 5.6814,
|
3053 |
-
"step": 506
|
3054 |
-
},
|
3055 |
-
{
|
3056 |
-
"epoch": 0.85,
|
3057 |
-
"learning_rate": 0.0009468085106382979,
|
3058 |
-
"loss": 4.8924,
|
3059 |
-
"step": 507
|
3060 |
-
},
|
3061 |
-
{
|
3062 |
-
"epoch": 0.85,
|
3063 |
-
"learning_rate": 0.0009361702127659575,
|
3064 |
-
"loss": 4.9127,
|
3065 |
-
"step": 508
|
3066 |
-
},
|
3067 |
-
{
|
3068 |
-
"epoch": 0.86,
|
3069 |
-
"learning_rate": 0.000925531914893617,
|
3070 |
-
"loss": 4.9308,
|
3071 |
-
"step": 509
|
3072 |
-
},
|
3073 |
-
{
|
3074 |
-
"epoch": 0.86,
|
3075 |
-
"learning_rate": 0.0009148936170212766,
|
3076 |
-
"loss": 5.075,
|
3077 |
-
"step": 510
|
3078 |
-
},
|
3079 |
-
{
|
3080 |
-
"epoch": 0.86,
|
3081 |
-
"learning_rate": 0.0009042553191489362,
|
3082 |
-
"loss": 5.0711,
|
3083 |
-
"step": 511
|
3084 |
-
},
|
3085 |
-
{
|
3086 |
-
"epoch": 0.86,
|
3087 |
-
"learning_rate": 0.0008936170212765957,
|
3088 |
-
"loss": 4.7922,
|
3089 |
-
"step": 512
|
3090 |
-
},
|
3091 |
-
{
|
3092 |
-
"epoch": 0.86,
|
3093 |
-
"learning_rate": 0.0008829787234042553,
|
3094 |
-
"loss": 4.8064,
|
3095 |
-
"step": 513
|
3096 |
-
},
|
3097 |
-
{
|
3098 |
-
"epoch": 0.86,
|
3099 |
-
"learning_rate": 0.0008723404255319149,
|
3100 |
-
"loss": 5.0308,
|
3101 |
-
"step": 514
|
3102 |
-
},
|
3103 |
-
{
|
3104 |
-
"epoch": 0.87,
|
3105 |
-
"learning_rate": 0.0008617021276595744,
|
3106 |
-
"loss": 4.9314,
|
3107 |
-
"step": 515
|
3108 |
-
},
|
3109 |
-
{
|
3110 |
-
"epoch": 0.87,
|
3111 |
-
"learning_rate": 0.000851063829787234,
|
3112 |
-
"loss": 4.8477,
|
3113 |
-
"step": 516
|
3114 |
-
},
|
3115 |
-
{
|
3116 |
-
"epoch": 0.87,
|
3117 |
-
"learning_rate": 0.0008404255319148936,
|
3118 |
-
"loss": 4.9286,
|
3119 |
-
"step": 517
|
3120 |
-
},
|
3121 |
-
{
|
3122 |
-
"epoch": 0.87,
|
3123 |
-
"learning_rate": 0.0008297872340425531,
|
3124 |
-
"loss": 5.4933,
|
3125 |
-
"step": 518
|
3126 |
-
},
|
3127 |
-
{
|
3128 |
-
"epoch": 0.87,
|
3129 |
-
"learning_rate": 0.0008191489361702128,
|
3130 |
-
"loss": 4.8794,
|
3131 |
-
"step": 519
|
3132 |
-
},
|
3133 |
-
{
|
3134 |
-
"epoch": 0.87,
|
3135 |
-
"learning_rate": 0.0008085106382978723,
|
3136 |
-
"loss": 4.8869,
|
3137 |
-
"step": 520
|
3138 |
-
},
|
3139 |
-
{
|
3140 |
-
"epoch": 0.88,
|
3141 |
-
"learning_rate": 0.0007978723404255319,
|
3142 |
-
"loss": 5.1175,
|
3143 |
-
"step": 521
|
3144 |
-
},
|
3145 |
-
{
|
3146 |
-
"epoch": 0.88,
|
3147 |
-
"learning_rate": 0.0007872340425531915,
|
3148 |
-
"loss": 4.9459,
|
3149 |
-
"step": 522
|
3150 |
-
},
|
3151 |
-
{
|
3152 |
-
"epoch": 0.88,
|
3153 |
-
"learning_rate": 0.000776595744680851,
|
3154 |
-
"loss": 4.7847,
|
3155 |
-
"step": 523
|
3156 |
-
},
|
3157 |
-
{
|
3158 |
-
"epoch": 0.88,
|
3159 |
-
"learning_rate": 0.0007659574468085106,
|
3160 |
-
"loss": 4.5425,
|
3161 |
-
"step": 524
|
3162 |
-
},
|
3163 |
-
{
|
3164 |
-
"epoch": 0.88,
|
3165 |
-
"learning_rate": 0.0007553191489361702,
|
3166 |
-
"loss": 4.8546,
|
3167 |
-
"step": 525
|
3168 |
-
},
|
3169 |
-
{
|
3170 |
-
"epoch": 0.88,
|
3171 |
-
"learning_rate": 0.0007446808510638298,
|
3172 |
-
"loss": 4.9989,
|
3173 |
-
"step": 526
|
3174 |
-
},
|
3175 |
-
{
|
3176 |
-
"epoch": 0.89,
|
3177 |
-
"learning_rate": 0.0007340425531914894,
|
3178 |
-
"loss": 5.0116,
|
3179 |
-
"step": 527
|
3180 |
-
},
|
3181 |
-
{
|
3182 |
-
"epoch": 0.89,
|
3183 |
-
"learning_rate": 0.000723404255319149,
|
3184 |
-
"loss": 4.7372,
|
3185 |
-
"step": 528
|
3186 |
-
},
|
3187 |
-
{
|
3188 |
-
"epoch": 0.89,
|
3189 |
-
"learning_rate": 0.0007127659574468085,
|
3190 |
-
"loss": 4.8166,
|
3191 |
-
"step": 529
|
3192 |
-
},
|
3193 |
-
{
|
3194 |
-
"epoch": 0.89,
|
3195 |
-
"learning_rate": 0.0007021276595744682,
|
3196 |
-
"loss": 4.6332,
|
3197 |
-
"step": 530
|
3198 |
-
},
|
3199 |
-
{
|
3200 |
-
"epoch": 0.89,
|
3201 |
-
"learning_rate": 0.0006914893617021278,
|
3202 |
-
"loss": 4.6867,
|
3203 |
-
"step": 531
|
3204 |
-
},
|
3205 |
-
{
|
3206 |
-
"epoch": 0.89,
|
3207 |
-
"learning_rate": 0.0006808510638297873,
|
3208 |
-
"loss": 4.987,
|
3209 |
-
"step": 532
|
3210 |
-
},
|
3211 |
-
{
|
3212 |
-
"epoch": 0.9,
|
3213 |
-
"learning_rate": 0.0006702127659574469,
|
3214 |
-
"loss": 4.8099,
|
3215 |
-
"step": 533
|
3216 |
-
},
|
3217 |
-
{
|
3218 |
-
"epoch": 0.9,
|
3219 |
-
"learning_rate": 0.0006595744680851064,
|
3220 |
-
"loss": 4.7489,
|
3221 |
-
"step": 534
|
3222 |
-
},
|
3223 |
-
{
|
3224 |
-
"epoch": 0.9,
|
3225 |
-
"learning_rate": 0.000648936170212766,
|
3226 |
-
"loss": 4.736,
|
3227 |
-
"step": 535
|
3228 |
-
},
|
3229 |
-
{
|
3230 |
-
"epoch": 0.9,
|
3231 |
-
"learning_rate": 0.0006382978723404256,
|
3232 |
-
"loss": 5.0293,
|
3233 |
-
"step": 536
|
3234 |
-
},
|
3235 |
-
{
|
3236 |
-
"epoch": 0.9,
|
3237 |
-
"learning_rate": 0.0006276595744680851,
|
3238 |
-
"loss": 4.9617,
|
3239 |
-
"step": 537
|
3240 |
-
},
|
3241 |
-
{
|
3242 |
-
"epoch": 0.9,
|
3243 |
-
"learning_rate": 0.0006170212765957447,
|
3244 |
-
"loss": 4.794,
|
3245 |
-
"step": 538
|
3246 |
-
},
|
3247 |
-
{
|
3248 |
-
"epoch": 0.91,
|
3249 |
-
"learning_rate": 0.0006063829787234043,
|
3250 |
-
"loss": 4.7831,
|
3251 |
-
"step": 539
|
3252 |
-
},
|
3253 |
-
{
|
3254 |
-
"epoch": 0.91,
|
3255 |
-
"learning_rate": 0.0005957446808510638,
|
3256 |
-
"loss": 4.718,
|
3257 |
-
"step": 540
|
3258 |
-
},
|
3259 |
-
{
|
3260 |
-
"epoch": 0.91,
|
3261 |
-
"learning_rate": 0.0005851063829787234,
|
3262 |
-
"loss": 4.6424,
|
3263 |
-
"step": 541
|
3264 |
-
},
|
3265 |
-
{
|
3266 |
-
"epoch": 0.91,
|
3267 |
-
"learning_rate": 0.0005744680851063831,
|
3268 |
-
"loss": 4.9381,
|
3269 |
-
"step": 542
|
3270 |
-
},
|
3271 |
-
{
|
3272 |
-
"epoch": 0.91,
|
3273 |
-
"learning_rate": 0.0005638297872340426,
|
3274 |
-
"loss": 4.7384,
|
3275 |
-
"step": 543
|
3276 |
-
},
|
3277 |
-
{
|
3278 |
-
"epoch": 0.91,
|
3279 |
-
"learning_rate": 0.0005531914893617022,
|
3280 |
-
"loss": 4.8799,
|
3281 |
-
"step": 544
|
3282 |
-
},
|
3283 |
-
{
|
3284 |
-
"epoch": 0.92,
|
3285 |
-
"learning_rate": 0.0005425531914893617,
|
3286 |
-
"loss": 4.8677,
|
3287 |
-
"step": 545
|
3288 |
-
},
|
3289 |
-
{
|
3290 |
-
"epoch": 0.92,
|
3291 |
-
"learning_rate": 0.0005319148936170213,
|
3292 |
-
"loss": 5.0294,
|
3293 |
-
"step": 546
|
3294 |
-
},
|
3295 |
-
{
|
3296 |
-
"epoch": 0.92,
|
3297 |
-
"learning_rate": 0.0005212765957446809,
|
3298 |
-
"loss": 4.6956,
|
3299 |
-
"step": 547
|
3300 |
-
},
|
3301 |
-
{
|
3302 |
-
"epoch": 0.92,
|
3303 |
-
"learning_rate": 0.0005106382978723404,
|
3304 |
-
"loss": 5.2215,
|
3305 |
-
"step": 548
|
3306 |
},
|
3307 |
{
|
3308 |
"epoch": 0.92,
|
3309 |
-
"learning_rate": 0.
|
3310 |
-
"loss":
|
3311 |
-
"step":
|
3312 |
},
|
3313 |
{
|
3314 |
"epoch": 0.92,
|
3315 |
-
"learning_rate": 0.
|
3316 |
-
"loss": 4.
|
3317 |
-
"step":
|
3318 |
-
},
|
3319 |
-
{
|
3320 |
-
"epoch": 0.93,
|
3321 |
-
"learning_rate": 0.0004787234042553192,
|
3322 |
-
"loss": 4.9315,
|
3323 |
-
"step": 551
|
3324 |
-
},
|
3325 |
-
{
|
3326 |
-
"epoch": 0.93,
|
3327 |
-
"learning_rate": 0.00046808510638297874,
|
3328 |
-
"loss": 5.0552,
|
3329 |
-
"step": 552
|
3330 |
-
},
|
3331 |
-
{
|
3332 |
-
"epoch": 0.93,
|
3333 |
-
"learning_rate": 0.0004574468085106383,
|
3334 |
-
"loss": 4.862,
|
3335 |
-
"step": 553
|
3336 |
},
|
3337 |
{
|
3338 |
"epoch": 0.93,
|
3339 |
-
"learning_rate": 0.
|
3340 |
-
"loss": 4.
|
3341 |
-
"step":
|
3342 |
},
|
3343 |
{
|
3344 |
"epoch": 0.93,
|
3345 |
-
"learning_rate": 0.
|
3346 |
-
"loss": 4.
|
3347 |
-
"step":
|
3348 |
},
|
3349 |
{
|
3350 |
"epoch": 0.93,
|
3351 |
-
"learning_rate": 0.
|
3352 |
-
"loss": 4.
|
3353 |
-
"step":
|
3354 |
-
},
|
3355 |
-
{
|
3356 |
-
"epoch": 0.94,
|
3357 |
-
"learning_rate": 0.0004148936170212766,
|
3358 |
-
"loss": 4.9713,
|
3359 |
-
"step": 557
|
3360 |
-
},
|
3361 |
-
{
|
3362 |
-
"epoch": 0.94,
|
3363 |
-
"learning_rate": 0.00040425531914893613,
|
3364 |
-
"loss": 4.7684,
|
3365 |
-
"step": 558
|
3366 |
-
},
|
3367 |
-
{
|
3368 |
-
"epoch": 0.94,
|
3369 |
-
"learning_rate": 0.00039361702127659574,
|
3370 |
-
"loss": 4.5917,
|
3371 |
-
"step": 559
|
3372 |
},
|
3373 |
{
|
3374 |
"epoch": 0.94,
|
3375 |
-
"learning_rate": 0.
|
3376 |
-
"loss": 4.
|
3377 |
-
"step":
|
3378 |
},
|
3379 |
{
|
3380 |
"epoch": 0.94,
|
3381 |
-
"learning_rate": 0.
|
3382 |
-
"loss":
|
3383 |
-
"step":
|
3384 |
},
|
3385 |
{
|
3386 |
"epoch": 0.94,
|
3387 |
-
"learning_rate": 0.
|
3388 |
-
"loss": 4.
|
3389 |
-
"step":
|
3390 |
-
},
|
3391 |
-
{
|
3392 |
-
"epoch": 0.95,
|
3393 |
-
"learning_rate": 0.0003510638297872341,
|
3394 |
-
"loss": 4.6475,
|
3395 |
-
"step": 563
|
3396 |
-
},
|
3397 |
-
{
|
3398 |
-
"epoch": 0.95,
|
3399 |
-
"learning_rate": 0.00034042553191489364,
|
3400 |
-
"loss": 5.0037,
|
3401 |
-
"step": 564
|
3402 |
-
},
|
3403 |
-
{
|
3404 |
-
"epoch": 0.95,
|
3405 |
-
"learning_rate": 0.0003297872340425532,
|
3406 |
-
"loss": 4.6778,
|
3407 |
-
"step": 565
|
3408 |
},
|
3409 |
{
|
3410 |
"epoch": 0.95,
|
3411 |
-
"learning_rate": 0.
|
3412 |
-
"loss":
|
3413 |
-
"step":
|
3414 |
},
|
3415 |
{
|
3416 |
"epoch": 0.95,
|
3417 |
-
"learning_rate": 0.
|
3418 |
-
"loss": 4.
|
3419 |
-
"step":
|
3420 |
-
},
|
3421 |
-
{
|
3422 |
-
"epoch": 0.96,
|
3423 |
-
"learning_rate": 0.0002978723404255319,
|
3424 |
-
"loss": 4.7798,
|
3425 |
-
"step": 568
|
3426 |
-
},
|
3427 |
-
{
|
3428 |
-
"epoch": 0.96,
|
3429 |
-
"learning_rate": 0.00028723404255319153,
|
3430 |
-
"loss": 4.6515,
|
3431 |
-
"step": 569
|
3432 |
-
},
|
3433 |
-
{
|
3434 |
-
"epoch": 0.96,
|
3435 |
-
"learning_rate": 0.0002765957446808511,
|
3436 |
-
"loss": 4.7992,
|
3437 |
-
"step": 570
|
3438 |
},
|
3439 |
{
|
3440 |
"epoch": 0.96,
|
3441 |
-
"learning_rate": 0.
|
3442 |
-
"loss": 4.
|
3443 |
-
"step":
|
3444 |
},
|
3445 |
{
|
3446 |
"epoch": 0.96,
|
3447 |
-
"learning_rate": 0.
|
3448 |
-
"loss": 4.
|
3449 |
-
"step":
|
3450 |
},
|
3451 |
{
|
3452 |
"epoch": 0.96,
|
3453 |
-
"learning_rate": 0.
|
3454 |
-
"loss": 4.
|
3455 |
-
"step":
|
3456 |
-
},
|
3457 |
-
{
|
3458 |
-
"epoch": 0.97,
|
3459 |
-
"learning_rate": 0.00023404255319148937,
|
3460 |
-
"loss": 4.5968,
|
3461 |
-
"step": 574
|
3462 |
-
},
|
3463 |
-
{
|
3464 |
-
"epoch": 0.97,
|
3465 |
-
"learning_rate": 0.00022340425531914892,
|
3466 |
-
"loss": 4.7226,
|
3467 |
-
"step": 575
|
3468 |
-
},
|
3469 |
-
{
|
3470 |
-
"epoch": 0.97,
|
3471 |
-
"learning_rate": 0.0002127659574468085,
|
3472 |
-
"loss": 4.7007,
|
3473 |
-
"step": 576
|
3474 |
},
|
3475 |
{
|
3476 |
"epoch": 0.97,
|
3477 |
-
"learning_rate": 0.
|
3478 |
-
"loss": 4.
|
3479 |
-
"step":
|
3480 |
},
|
3481 |
{
|
3482 |
"epoch": 0.97,
|
3483 |
-
"learning_rate": 0.
|
3484 |
-
"loss": 4.
|
3485 |
-
"step":
|
3486 |
},
|
3487 |
{
|
3488 |
"epoch": 0.97,
|
3489 |
-
"learning_rate": 0.
|
3490 |
-
"loss": 4.
|
3491 |
-
"step":
|
3492 |
-
},
|
3493 |
-
{
|
3494 |
-
"epoch": 0.98,
|
3495 |
-
"learning_rate": 0.00017021276595744682,
|
3496 |
-
"loss": 4.6588,
|
3497 |
-
"step": 580
|
3498 |
-
},
|
3499 |
-
{
|
3500 |
-
"epoch": 0.98,
|
3501 |
-
"learning_rate": 0.0001595744680851064,
|
3502 |
-
"loss": 4.8716,
|
3503 |
-
"step": 581
|
3504 |
-
},
|
3505 |
-
{
|
3506 |
-
"epoch": 0.98,
|
3507 |
-
"learning_rate": 0.00014893617021276596,
|
3508 |
-
"loss": 4.6649,
|
3509 |
-
"step": 582
|
3510 |
},
|
3511 |
{
|
3512 |
"epoch": 0.98,
|
3513 |
-
"learning_rate": 0.
|
3514 |
-
"loss": 4.
|
3515 |
-
"step":
|
3516 |
},
|
3517 |
{
|
3518 |
"epoch": 0.98,
|
3519 |
-
"learning_rate": 0.
|
3520 |
-
"loss": 4.
|
3521 |
-
"step":
|
3522 |
},
|
3523 |
{
|
3524 |
"epoch": 0.98,
|
3525 |
-
"learning_rate": 0.
|
3526 |
-
"loss": 4.
|
3527 |
-
"step":
|
3528 |
-
},
|
3529 |
-
{
|
3530 |
-
"epoch": 0.99,
|
3531 |
-
"learning_rate": 0.00010638297872340425,
|
3532 |
-
"loss": 4.5619,
|
3533 |
-
"step": 586
|
3534 |
-
},
|
3535 |
-
{
|
3536 |
-
"epoch": 0.99,
|
3537 |
-
"learning_rate": 9.574468085106382e-05,
|
3538 |
-
"loss": 4.6919,
|
3539 |
-
"step": 587
|
3540 |
-
},
|
3541 |
-
{
|
3542 |
-
"epoch": 0.99,
|
3543 |
-
"learning_rate": 8.510638297872341e-05,
|
3544 |
-
"loss": 4.7372,
|
3545 |
-
"step": 588
|
3546 |
},
|
3547 |
{
|
3548 |
"epoch": 0.99,
|
3549 |
-
"learning_rate":
|
3550 |
-
"loss": 4.
|
3551 |
-
"step":
|
3552 |
},
|
3553 |
{
|
3554 |
"epoch": 0.99,
|
3555 |
-
"learning_rate":
|
3556 |
-
"loss":
|
3557 |
-
"step":
|
3558 |
},
|
3559 |
{
|
3560 |
"epoch": 0.99,
|
3561 |
-
"learning_rate":
|
3562 |
-
"loss": 4.
|
3563 |
-
"step":
|
3564 |
-
},
|
3565 |
-
{
|
3566 |
-
"epoch": 1.0,
|
3567 |
-
"learning_rate": 4.2553191489361704e-05,
|
3568 |
-
"loss": 6.0408,
|
3569 |
-
"step": 592
|
3570 |
},
|
3571 |
{
|
3572 |
"epoch": 1.0,
|
3573 |
-
"learning_rate":
|
3574 |
-
"loss":
|
3575 |
-
"step":
|
3576 |
},
|
3577 |
{
|
3578 |
"epoch": 1.0,
|
3579 |
-
"learning_rate":
|
3580 |
-
"loss": 4.
|
3581 |
-
"step":
|
3582 |
},
|
3583 |
{
|
3584 |
"epoch": 1.0,
|
3585 |
-
"step":
|
3586 |
"total_flos": 0.0,
|
3587 |
-
"train_loss": 4.
|
3588 |
-
"train_runtime":
|
3589 |
-
"train_samples_per_second":
|
3590 |
-
"train_steps_per_second": 0.
|
3591 |
}
|
3592 |
],
|
3593 |
-
"max_steps":
|
3594 |
"num_train_epochs": 1,
|
3595 |
"total_flos": 0.0,
|
3596 |
"trial_name": null,
|
|
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
"epoch": 0.9987389659520807,
|
5 |
+
"global_step": 297,
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
9 |
"log_history": [
|
10 |
{
|
11 |
"epoch": 0.0,
|
12 |
+
"learning_rate": 2e-06,
|
13 |
+
"loss": 4.7722,
|
14 |
"step": 1
|
15 |
},
|
16 |
{
|
17 |
+
"epoch": 0.01,
|
18 |
+
"learning_rate": 4e-06,
|
19 |
+
"loss": 4.8471,
|
20 |
"step": 2
|
21 |
},
|
22 |
{
|
23 |
"epoch": 0.01,
|
24 |
+
"learning_rate": 6e-06,
|
25 |
+
"loss": 4.8901,
|
26 |
"step": 3
|
27 |
},
|
28 |
{
|
29 |
"epoch": 0.01,
|
30 |
+
"learning_rate": 8e-06,
|
31 |
+
"loss": 4.7936,
|
32 |
"step": 4
|
33 |
},
|
34 |
{
|
35 |
+
"epoch": 0.02,
|
36 |
+
"learning_rate": 1e-05,
|
37 |
+
"loss": 4.6226,
|
38 |
"step": 5
|
39 |
},
|
40 |
{
|
41 |
+
"epoch": 0.02,
|
42 |
"learning_rate": 1e-05,
|
43 |
+
"loss": 4.6818,
|
44 |
"step": 6
|
45 |
},
|
46 |
{
|
47 |
+
"epoch": 0.02,
|
48 |
"learning_rate": 1.2e-05,
|
49 |
+
"loss": 4.6542,
|
50 |
"step": 7
|
51 |
},
|
52 |
{
|
53 |
+
"epoch": 0.03,
|
54 |
"learning_rate": 1.4e-05,
|
55 |
+
"loss": 4.6833,
|
56 |
"step": 8
|
57 |
},
|
58 |
{
|
59 |
+
"epoch": 0.03,
|
60 |
"learning_rate": 1.6e-05,
|
61 |
+
"loss": 4.5591,
|
62 |
"step": 9
|
63 |
},
|
64 |
{
|
65 |
+
"epoch": 0.03,
|
66 |
"learning_rate": 1.8e-05,
|
67 |
+
"loss": 4.3732,
|
68 |
"step": 10
|
69 |
},
|
70 |
{
|
71 |
+
"epoch": 0.04,
|
72 |
"learning_rate": 2e-05,
|
73 |
+
"loss": 4.4692,
|
74 |
"step": 11
|
75 |
},
|
76 |
{
|
77 |
+
"epoch": 0.04,
|
78 |
"learning_rate": 2.2e-05,
|
79 |
+
"loss": 4.4868,
|
80 |
"step": 12
|
81 |
},
|
82 |
{
|
83 |
+
"epoch": 0.04,
|
84 |
"learning_rate": 2.4e-05,
|
85 |
+
"loss": 4.3669,
|
86 |
"step": 13
|
87 |
},
|
88 |
{
|
89 |
+
"epoch": 0.05,
|
90 |
"learning_rate": 2.6e-05,
|
91 |
+
"loss": 4.3111,
|
92 |
"step": 14
|
93 |
},
|
94 |
{
|
95 |
+
"epoch": 0.05,
|
96 |
"learning_rate": 2.8e-05,
|
97 |
+
"loss": 4.3386,
|
98 |
"step": 15
|
99 |
},
|
100 |
{
|
101 |
+
"epoch": 0.05,
|
102 |
"learning_rate": 3e-05,
|
103 |
+
"loss": 4.2529,
|
104 |
"step": 16
|
105 |
},
|
106 |
{
|
107 |
+
"epoch": 0.06,
|
108 |
"learning_rate": 3.2e-05,
|
109 |
+
"loss": 4.3119,
|
110 |
"step": 17
|
111 |
},
|
112 |
{
|
113 |
+
"epoch": 0.06,
|
114 |
"learning_rate": 3.4000000000000007e-05,
|
115 |
+
"loss": 4.345,
|
116 |
"step": 18
|
117 |
},
|
118 |
{
|
119 |
+
"epoch": 0.06,
|
120 |
"learning_rate": 3.6e-05,
|
121 |
+
"loss": 4.3061,
|
122 |
"step": 19
|
123 |
},
|
124 |
{
|
125 |
+
"epoch": 0.07,
|
126 |
"learning_rate": 3.8e-05,
|
127 |
+
"loss": 4.3575,
|
128 |
"step": 20
|
129 |
},
|
130 |
{
|
131 |
+
"epoch": 0.07,
|
132 |
"learning_rate": 4e-05,
|
133 |
+
"loss": 4.3639,
|
134 |
"step": 21
|
135 |
},
|
136 |
{
|
137 |
+
"epoch": 0.07,
|
138 |
"learning_rate": 4.2000000000000004e-05,
|
139 |
+
"loss": 4.332,
|
140 |
"step": 22
|
141 |
},
|
142 |
{
|
143 |
+
"epoch": 0.08,
|
144 |
"learning_rate": 4.4e-05,
|
145 |
+
"loss": 4.2139,
|
146 |
"step": 23
|
147 |
},
|
148 |
{
|
149 |
+
"epoch": 0.08,
|
150 |
"learning_rate": 4.6e-05,
|
151 |
+
"loss": 4.342,
|
152 |
"step": 24
|
153 |
},
|
154 |
{
|
155 |
+
"epoch": 0.08,
|
156 |
"learning_rate": 4.8e-05,
|
157 |
+
"loss": 4.1966,
|
158 |
"step": 25
|
159 |
},
|
160 |
{
|
161 |
+
"epoch": 0.09,
|
162 |
"learning_rate": 5e-05,
|
163 |
+
"loss": 4.4635,
|
164 |
"step": 26
|
165 |
},
|
166 |
{
|
167 |
+
"epoch": 0.09,
|
168 |
"learning_rate": 5.2e-05,
|
169 |
+
"loss": 4.2323,
|
170 |
"step": 27
|
171 |
},
|
172 |
{
|
173 |
+
"epoch": 0.09,
|
174 |
"learning_rate": 5.4e-05,
|
175 |
+
"loss": 4.2192,
|
176 |
"step": 28
|
177 |
},
|
178 |
{
|
179 |
+
"epoch": 0.1,
|
180 |
"learning_rate": 5.6e-05,
|
181 |
+
"loss": 4.124,
|
182 |
"step": 29
|
183 |
},
|
184 |
{
|
185 |
+
"epoch": 0.1,
|
186 |
"learning_rate": 5.800000000000001e-05,
|
187 |
+
"loss": 4.3273,
|
188 |
"step": 30
|
189 |
},
|
190 |
{
|
191 |
+
"epoch": 0.1,
|
192 |
"learning_rate": 6e-05,
|
193 |
+
"loss": 4.3173,
|
194 |
"step": 31
|
195 |
},
|
196 |
{
|
197 |
+
"epoch": 0.11,
|
198 |
"learning_rate": 6.2e-05,
|
199 |
+
"loss": 4.2152,
|
200 |
"step": 32
|
201 |
},
|
202 |
{
|
203 |
+
"epoch": 0.11,
|
204 |
"learning_rate": 6.4e-05,
|
205 |
+
"loss": 4.2741,
|
206 |
"step": 33
|
207 |
},
|
208 |
{
|
209 |
+
"epoch": 0.11,
|
210 |
"learning_rate": 6.6e-05,
|
211 |
+
"loss": 4.2259,
|
212 |
"step": 34
|
213 |
},
|
214 |
{
|
215 |
+
"epoch": 0.12,
|
216 |
"learning_rate": 6.800000000000001e-05,
|
217 |
+
"loss": 4.2298,
|
218 |
"step": 35
|
219 |
},
|
220 |
{
|
221 |
+
"epoch": 0.12,
|
222 |
"learning_rate": 7.000000000000001e-05,
|
223 |
+
"loss": 4.2443,
|
224 |
"step": 36
|
225 |
},
|
226 |
{
|
227 |
+
"epoch": 0.12,
|
228 |
"learning_rate": 7.2e-05,
|
229 |
+
"loss": 4.3289,
|
230 |
"step": 37
|
231 |
},
|
232 |
{
|
233 |
+
"epoch": 0.13,
|
234 |
"learning_rate": 7.4e-05,
|
235 |
+
"loss": 4.2854,
|
236 |
"step": 38
|
237 |
},
|
238 |
{
|
239 |
+
"epoch": 0.13,
|
240 |
"learning_rate": 7.6e-05,
|
241 |
+
"loss": 4.3371,
|
242 |
"step": 39
|
243 |
},
|
244 |
{
|
245 |
+
"epoch": 0.13,
|
246 |
"learning_rate": 7.8e-05,
|
247 |
+
"loss": 4.2088,
|
248 |
"step": 40
|
249 |
},
|
250 |
{
|
251 |
+
"epoch": 0.14,
|
252 |
"learning_rate": 8e-05,
|
253 |
+
"loss": 4.2763,
|
254 |
"step": 41
|
255 |
},
|
256 |
{
|
257 |
+
"epoch": 0.14,
|
258 |
"learning_rate": 8.2e-05,
|
259 |
+
"loss": 4.3167,
|
260 |
"step": 42
|
261 |
},
|
262 |
{
|
263 |
+
"epoch": 0.14,
|
264 |
"learning_rate": 8.400000000000001e-05,
|
265 |
+
"loss": 4.1436,
|
266 |
"step": 43
|
267 |
},
|
268 |
{
|
269 |
+
"epoch": 0.15,
|
270 |
"learning_rate": 8.599999999999999e-05,
|
271 |
+
"loss": 4.4299,
|
272 |
"step": 44
|
273 |
},
|
274 |
{
|
275 |
+
"epoch": 0.15,
|
276 |
"learning_rate": 8.8e-05,
|
277 |
+
"loss": 4.3716,
|
278 |
"step": 45
|
279 |
},
|
280 |
{
|
281 |
+
"epoch": 0.15,
|
282 |
"learning_rate": 8.999999999999999e-05,
|
283 |
+
"loss": 4.4052,
|
284 |
"step": 46
|
285 |
},
|
286 |
{
|
287 |
+
"epoch": 0.16,
|
288 |
"learning_rate": 9.2e-05,
|
289 |
+
"loss": 4.3802,
|
290 |
"step": 47
|
291 |
},
|
292 |
{
|
293 |
+
"epoch": 0.16,
|
294 |
"learning_rate": 9.400000000000001e-05,
|
295 |
+
"loss": 4.4711,
|
296 |
"step": 48
|
297 |
},
|
298 |
{
|
299 |
+
"epoch": 0.16,
|
300 |
"learning_rate": 9.6e-05,
|
301 |
+
"loss": 4.5475,
|
302 |
"step": 49
|
303 |
},
|
304 |
{
|
305 |
+
"epoch": 0.17,
|
306 |
+
"learning_rate": 9.800000000000001e-05,
|
307 |
+
"loss": 4.3163,
|
308 |
"step": 50
|
309 |
},
|
310 |
{
|
311 |
+
"epoch": 0.17,
|
312 |
+
"learning_rate": 0.0001,
|
313 |
+
"loss": 4.2876,
|
314 |
"step": 51
|
315 |
},
|
316 |
{
|
317 |
+
"epoch": 0.17,
|
318 |
+
"learning_rate": 0.000102,
|
319 |
+
"loss": 4.1673,
|
320 |
"step": 52
|
321 |
},
|
322 |
{
|
323 |
+
"epoch": 0.18,
|
324 |
+
"learning_rate": 0.000104,
|
325 |
+
"loss": 4.1641,
|
326 |
"step": 53
|
327 |
},
|
328 |
{
|
329 |
+
"epoch": 0.18,
|
330 |
+
"learning_rate": 0.000106,
|
331 |
+
"loss": 4.1324,
|
332 |
"step": 54
|
333 |
},
|
334 |
{
|
335 |
+
"epoch": 0.18,
|
336 |
+
"learning_rate": 0.000108,
|
337 |
+
"loss": 4.1149,
|
338 |
"step": 55
|
339 |
},
|
340 |
{
|
341 |
+
"epoch": 0.19,
|
342 |
+
"learning_rate": 0.00011,
|
343 |
+
"loss": 4.1346,
|
344 |
"step": 56
|
345 |
},
|
346 |
{
|
347 |
+
"epoch": 0.19,
|
348 |
+
"learning_rate": 0.000112,
|
349 |
+
"loss": 4.2194,
|
350 |
"step": 57
|
351 |
},
|
352 |
{
|
353 |
+
"epoch": 0.2,
|
354 |
+
"learning_rate": 0.000114,
|
355 |
+
"loss": 4.2206,
|
356 |
"step": 58
|
357 |
},
|
358 |
{
|
359 |
+
"epoch": 0.2,
|
360 |
+
"learning_rate": 0.00011600000000000001,
|
361 |
+
"loss": 4.2098,
|
362 |
"step": 59
|
363 |
},
|
364 |
{
|
365 |
+
"epoch": 0.2,
|
366 |
+
"learning_rate": 0.000118,
|
367 |
+
"loss": 4.1653,
|
368 |
"step": 60
|
369 |
},
|
370 |
{
|
371 |
+
"epoch": 0.21,
|
372 |
+
"learning_rate": 0.00012,
|
373 |
+
"loss": 4.2034,
|
374 |
"step": 61
|
375 |
},
|
376 |
{
|
377 |
+
"epoch": 0.21,
|
378 |
+
"learning_rate": 0.000122,
|
379 |
+
"loss": 4.1436,
|
380 |
"step": 62
|
381 |
},
|
382 |
{
|
383 |
+
"epoch": 0.21,
|
384 |
+
"learning_rate": 0.000124,
|
385 |
+
"loss": 4.2173,
|
386 |
"step": 63
|
387 |
},
|
388 |
{
|
389 |
+
"epoch": 0.22,
|
390 |
+
"learning_rate": 0.000126,
|
391 |
+
"loss": 4.1701,
|
392 |
"step": 64
|
393 |
},
|
394 |
{
|
395 |
+
"epoch": 0.22,
|
396 |
+
"learning_rate": 0.000128,
|
397 |
+
"loss": 4.2817,
|
398 |
"step": 65
|
399 |
},
|
400 |
{
|
401 |
+
"epoch": 0.22,
|
402 |
+
"learning_rate": 0.00013000000000000002,
|
403 |
+
"loss": 4.2719,
|
404 |
"step": 66
|
405 |
},
|
406 |
{
|
407 |
+
"epoch": 0.23,
|
408 |
+
"learning_rate": 0.000132,
|
409 |
+
"loss": 4.2492,
|
410 |
"step": 67
|
411 |
},
|
412 |
{
|
413 |
+
"epoch": 0.23,
|
414 |
+
"learning_rate": 0.000134,
|
415 |
+
"loss": 4.2513,
|
416 |
"step": 68
|
417 |
},
|
418 |
{
|
419 |
+
"epoch": 0.23,
|
420 |
+
"learning_rate": 0.00013600000000000003,
|
421 |
+
"loss": 4.1976,
|
422 |
"step": 69
|
423 |
},
|
424 |
{
|
425 |
+
"epoch": 0.24,
|
426 |
+
"learning_rate": 0.00013800000000000002,
|
427 |
+
"loss": 4.2182,
|
428 |
"step": 70
|
429 |
},
|
430 |
{
|
431 |
+
"epoch": 0.24,
|
432 |
+
"learning_rate": 0.00014000000000000001,
|
433 |
+
"loss": 4.1483,
|
434 |
"step": 71
|
435 |
},
|
436 |
{
|
437 |
+
"epoch": 0.24,
|
438 |
+
"learning_rate": 0.00014199999999999998,
|
439 |
+
"loss": 4.2812,
|
440 |
"step": 72
|
441 |
},
|
442 |
{
|
443 |
+
"epoch": 0.25,
|
444 |
+
"learning_rate": 0.000144,
|
445 |
+
"loss": 4.224,
|
446 |
"step": 73
|
447 |
},
|
448 |
{
|
449 |
+
"epoch": 0.25,
|
450 |
+
"learning_rate": 0.000146,
|
451 |
+
"loss": 4.2017,
|
452 |
"step": 74
|
453 |
},
|
454 |
{
|
455 |
+
"epoch": 0.25,
|
456 |
+
"learning_rate": 0.000148,
|
457 |
+
"loss": 4.2882,
|
458 |
"step": 75
|
459 |
},
|
460 |
{
|
461 |
+
"epoch": 0.26,
|
462 |
+
"learning_rate": 0.00015,
|
463 |
+
"loss": 4.204,
|
464 |
"step": 76
|
465 |
},
|
466 |
{
|
467 |
+
"epoch": 0.26,
|
468 |
+
"learning_rate": 0.000152,
|
469 |
+
"loss": 4.1371,
|
470 |
"step": 77
|
471 |
},
|
472 |
{
|
473 |
+
"epoch": 0.26,
|
474 |
+
"learning_rate": 0.000154,
|
475 |
+
"loss": 4.2038,
|
476 |
"step": 78
|
477 |
},
|
478 |
{
|
479 |
+
"epoch": 0.27,
|
480 |
+
"learning_rate": 0.000156,
|
481 |
+
"loss": 4.0844,
|
482 |
"step": 79
|
483 |
},
|
484 |
{
|
485 |
+
"epoch": 0.27,
|
486 |
+
"learning_rate": 0.000158,
|
487 |
+
"loss": 4.3707,
|
488 |
"step": 80
|
489 |
},
|
490 |
{
|
491 |
+
"epoch": 0.27,
|
492 |
+
"learning_rate": 0.00016,
|
493 |
+
"loss": 4.2139,
|
494 |
"step": 81
|
495 |
},
|
496 |
{
|
497 |
+
"epoch": 0.28,
|
498 |
+
"learning_rate": 0.000162,
|
499 |
+
"loss": 4.2325,
|
500 |
"step": 82
|
501 |
},
|
502 |
{
|
503 |
+
"epoch": 0.28,
|
504 |
+
"learning_rate": 0.000164,
|
505 |
+
"loss": 4.1949,
|
506 |
"step": 83
|
507 |
},
|
508 |
{
|
509 |
+
"epoch": 0.28,
|
510 |
+
"learning_rate": 0.00016600000000000002,
|
511 |
+
"loss": 4.2897,
|
512 |
"step": 84
|
513 |
},
|
514 |
{
|
515 |
+
"epoch": 0.29,
|
|
|
|
|
|
|
|
|
|
|
|
|
516 |
"learning_rate": 0.00016800000000000002,
|
517 |
+
"loss": 4.3493,
|
518 |
+
"step": 85
|
519 |
},
|
520 |
{
|
521 |
+
"epoch": 0.29,
|
522 |
"learning_rate": 0.00017,
|
523 |
+
"loss": 4.2138,
|
524 |
+
"step": 86
|
525 |
},
|
526 |
{
|
527 |
+
"epoch": 0.29,
|
528 |
"learning_rate": 0.00017199999999999998,
|
529 |
+
"loss": 4.2173,
|
530 |
+
"step": 87
|
531 |
},
|
532 |
{
|
533 |
+
"epoch": 0.3,
|
534 |
"learning_rate": 0.000174,
|
535 |
+
"loss": 4.3482,
|
536 |
+
"step": 88
|
537 |
},
|
538 |
{
|
539 |
+
"epoch": 0.3,
|
540 |
"learning_rate": 0.000176,
|
541 |
+
"loss": 4.2918,
|
542 |
+
"step": 89
|
543 |
},
|
544 |
{
|
545 |
+
"epoch": 0.3,
|
546 |
"learning_rate": 0.000178,
|
547 |
+
"loss": 4.318,
|
548 |
+
"step": 90
|
549 |
},
|
550 |
{
|
551 |
+
"epoch": 0.31,
|
552 |
"learning_rate": 0.00017999999999999998,
|
553 |
+
"loss": 4.3096,
|
554 |
+
"step": 91
|
555 |
},
|
556 |
{
|
557 |
+
"epoch": 0.31,
|
558 |
"learning_rate": 0.000182,
|
559 |
+
"loss": 4.4027,
|
560 |
+
"step": 92
|
561 |
},
|
562 |
{
|
563 |
+
"epoch": 0.31,
|
564 |
"learning_rate": 0.000184,
|
565 |
+
"loss": 4.5431,
|
566 |
+
"step": 93
|
567 |
},
|
568 |
{
|
569 |
+
"epoch": 0.32,
|
570 |
"learning_rate": 0.000186,
|
571 |
+
"loss": 4.4248,
|
572 |
+
"step": 94
|
573 |
},
|
574 |
{
|
575 |
+
"epoch": 0.32,
|
576 |
"learning_rate": 0.00018800000000000002,
|
577 |
+
"loss": 4.341,
|
578 |
+
"step": 95
|
579 |
},
|
580 |
{
|
581 |
+
"epoch": 0.32,
|
582 |
"learning_rate": 0.00019,
|
583 |
+
"loss": 4.4704,
|
584 |
+
"step": 96
|
585 |
},
|
586 |
{
|
587 |
+
"epoch": 0.33,
|
588 |
"learning_rate": 0.000192,
|
589 |
+
"loss": 4.6444,
|
590 |
+
"step": 97
|
591 |
},
|
592 |
{
|
593 |
+
"epoch": 0.33,
|
594 |
"learning_rate": 0.000194,
|
595 |
+
"loss": 4.6959,
|
596 |
+
"step": 98
|
597 |
},
|
598 |
{
|
599 |
+
"epoch": 0.33,
|
600 |
"learning_rate": 0.00019600000000000002,
|
601 |
+
"loss": 4.5906,
|
602 |
+
"step": 99
|
603 |
},
|
604 |
{
|
605 |
+
"epoch": 0.34,
|
606 |
"learning_rate": 0.00019800000000000002,
|
607 |
+
"loss": 4.5786,
|
608 |
+
"step": 100
|
609 |
},
|
610 |
{
|
611 |
+
"epoch": 0.34,
|
612 |
"learning_rate": 0.0002,
|
613 |
+
"loss": 4.2771,
|
614 |
+
"step": 101
|
615 |
},
|
616 |
{
|
617 |
+
"epoch": 0.34,
|
618 |
"learning_rate": 0.000202,
|
619 |
+
"loss": 4.3638,
|
620 |
+
"step": 102
|
621 |
},
|
622 |
{
|
623 |
+
"epoch": 0.35,
|
624 |
"learning_rate": 0.000204,
|
625 |
+
"loss": 4.3463,
|
626 |
+
"step": 103
|
627 |
},
|
628 |
{
|
629 |
+
"epoch": 0.35,
|
630 |
"learning_rate": 0.000206,
|
631 |
+
"loss": 4.2307,
|
632 |
+
"step": 104
|
633 |
},
|
634 |
{
|
635 |
+
"epoch": 0.35,
|
636 |
"learning_rate": 0.000208,
|
637 |
+
"loss": 4.3191,
|
638 |
+
"step": 105
|
639 |
},
|
640 |
{
|
641 |
+
"epoch": 0.36,
|
642 |
"learning_rate": 0.00021,
|
643 |
+
"loss": 4.2077,
|
644 |
+
"step": 106
|
645 |
},
|
646 |
{
|
647 |
+
"epoch": 0.36,
|
648 |
"learning_rate": 0.000212,
|
649 |
+
"loss": 4.171,
|
650 |
+
"step": 107
|
651 |
},
|
652 |
{
|
653 |
+
"epoch": 0.36,
|
654 |
"learning_rate": 0.000214,
|
655 |
+
"loss": 4.28,
|
656 |
+
"step": 108
|
657 |
},
|
658 |
{
|
659 |
+
"epoch": 0.37,
|
660 |
"learning_rate": 0.000216,
|
661 |
+
"loss": 4.3413,
|
662 |
+
"step": 109
|
663 |
},
|
664 |
{
|
665 |
+
"epoch": 0.37,
|
666 |
"learning_rate": 0.000218,
|
667 |
+
"loss": 4.3297,
|
668 |
+
"step": 110
|
669 |
},
|
670 |
{
|
671 |
+
"epoch": 0.37,
|
672 |
"learning_rate": 0.00022,
|
673 |
+
"loss": 4.3912,
|
674 |
+
"step": 111
|
675 |
},
|
676 |
{
|
677 |
+
"epoch": 0.38,
|
678 |
"learning_rate": 0.000222,
|
679 |
+
"loss": 4.2747,
|
680 |
+
"step": 112
|
681 |
},
|
682 |
{
|
683 |
+
"epoch": 0.38,
|
684 |
"learning_rate": 0.000224,
|
685 |
+
"loss": 4.2566,
|
686 |
+
"step": 113
|
687 |
},
|
688 |
{
|
689 |
+
"epoch": 0.38,
|
690 |
"learning_rate": 0.00022600000000000002,
|
691 |
+
"loss": 4.2711,
|
692 |
+
"step": 114
|
693 |
},
|
694 |
{
|
695 |
+
"epoch": 0.39,
|
696 |
"learning_rate": 0.000228,
|
697 |
+
"loss": 4.2383,
|
698 |
+
"step": 115
|
699 |
},
|
700 |
{
|
701 |
+
"epoch": 0.39,
|
702 |
"learning_rate": 0.00023,
|
703 |
+
"loss": 4.2432,
|
704 |
+
"step": 116
|
705 |
},
|
706 |
{
|
707 |
+
"epoch": 0.39,
|
708 |
"learning_rate": 0.00023200000000000003,
|
709 |
+
"loss": 4.1736,
|
710 |
+
"step": 117
|
711 |
},
|
712 |
{
|
713 |
+
"epoch": 0.4,
|
714 |
"learning_rate": 0.00023400000000000002,
|
715 |
+
"loss": 4.1851,
|
716 |
+
"step": 118
|
717 |
},
|
718 |
{
|
719 |
+
"epoch": 0.4,
|
720 |
"learning_rate": 0.000236,
|
721 |
+
"loss": 4.2587,
|
722 |
+
"step": 119
|
723 |
},
|
724 |
{
|
725 |
+
"epoch": 0.4,
|
726 |
"learning_rate": 0.00023799999999999998,
|
727 |
+
"loss": 4.2478,
|
728 |
+
"step": 120
|
729 |
},
|
730 |
{
|
731 |
+
"epoch": 0.41,
|
732 |
"learning_rate": 0.00024,
|
733 |
+
"loss": 4.2483,
|
734 |
+
"step": 121
|
735 |
},
|
736 |
{
|
737 |
+
"epoch": 0.41,
|
738 |
"learning_rate": 0.000242,
|
739 |
+
"loss": 4.3501,
|
740 |
+
"step": 122
|
741 |
},
|
742 |
{
|
743 |
+
"epoch": 0.41,
|
744 |
"learning_rate": 0.000244,
|
745 |
+
"loss": 4.3387,
|
746 |
+
"step": 123
|
747 |
},
|
748 |
{
|
749 |
+
"epoch": 0.42,
|
750 |
"learning_rate": 0.000246,
|
751 |
+
"loss": 4.4114,
|
752 |
+
"step": 124
|
753 |
},
|
754 |
{
|
755 |
+
"epoch": 0.42,
|
756 |
"learning_rate": 0.000248,
|
757 |
+
"loss": 4.3815,
|
758 |
+
"step": 125
|
759 |
},
|
760 |
{
|
761 |
+
"epoch": 0.42,
|
762 |
"learning_rate": 0.00025,
|
763 |
+
"loss": 4.318,
|
764 |
+
"step": 126
|
765 |
},
|
766 |
{
|
767 |
+
"epoch": 0.43,
|
768 |
"learning_rate": 0.000252,
|
769 |
+
"loss": 4.336,
|
770 |
+
"step": 127
|
771 |
},
|
772 |
{
|
773 |
+
"epoch": 0.43,
|
774 |
"learning_rate": 0.000254,
|
775 |
+
"loss": 4.2494,
|
776 |
+
"step": 128
|
777 |
},
|
778 |
{
|
779 |
+
"epoch": 0.43,
|
780 |
"learning_rate": 0.000256,
|
781 |
+
"loss": 4.3796,
|
782 |
+
"step": 129
|
783 |
},
|
784 |
{
|
785 |
+
"epoch": 0.44,
|
786 |
"learning_rate": 0.00025800000000000004,
|
787 |
+
"loss": 4.4553,
|
788 |
+
"step": 130
|
789 |
},
|
790 |
{
|
791 |
+
"epoch": 0.44,
|
792 |
"learning_rate": 0.00026000000000000003,
|
793 |
+
"loss": 4.3515,
|
794 |
+
"step": 131
|
795 |
},
|
796 |
{
|
797 |
+
"epoch": 0.44,
|
798 |
"learning_rate": 0.000262,
|
799 |
+
"loss": 4.1923,
|
800 |
+
"step": 132
|
801 |
},
|
802 |
{
|
803 |
+
"epoch": 0.45,
|
804 |
"learning_rate": 0.000264,
|
805 |
+
"loss": 4.5483,
|
806 |
+
"step": 133
|
807 |
},
|
808 |
{
|
809 |
+
"epoch": 0.45,
|
810 |
"learning_rate": 0.000266,
|
811 |
+
"loss": 4.3097,
|
812 |
+
"step": 134
|
813 |
},
|
814 |
{
|
815 |
+
"epoch": 0.45,
|
816 |
"learning_rate": 0.000268,
|
817 |
+
"loss": 4.411,
|
818 |
+
"step": 135
|
819 |
},
|
820 |
{
|
821 |
+
"epoch": 0.46,
|
822 |
"learning_rate": 0.00027,
|
823 |
+
"loss": 4.3845,
|
824 |
+
"step": 136
|
825 |
},
|
826 |
{
|
827 |
+
"epoch": 0.46,
|
828 |
"learning_rate": 0.00027200000000000005,
|
829 |
+
"loss": 4.261,
|
830 |
+
"step": 137
|
831 |
},
|
832 |
{
|
833 |
+
"epoch": 0.46,
|
834 |
"learning_rate": 0.00027400000000000005,
|
835 |
+
"loss": 4.2935,
|
836 |
+
"step": 138
|
837 |
},
|
838 |
{
|
839 |
+
"epoch": 0.47,
|
840 |
"learning_rate": 0.00027600000000000004,
|
841 |
+
"loss": 4.3502,
|
842 |
+
"step": 139
|
843 |
},
|
844 |
{
|
845 |
+
"epoch": 0.47,
|
846 |
"learning_rate": 0.00027800000000000004,
|
847 |
+
"loss": 4.2937,
|
848 |
+
"step": 140
|
849 |
},
|
850 |
{
|
851 |
+
"epoch": 0.47,
|
852 |
"learning_rate": 0.00028000000000000003,
|
853 |
+
"loss": 4.5061,
|
854 |
+
"step": 141
|
855 |
},
|
856 |
{
|
857 |
+
"epoch": 0.48,
|
858 |
"learning_rate": 0.00028199999999999997,
|
859 |
+
"loss": 4.5488,
|
860 |
+
"step": 142
|
861 |
},
|
862 |
{
|
863 |
+
"epoch": 0.48,
|
864 |
"learning_rate": 0.00028399999999999996,
|
865 |
+
"loss": 4.3519,
|
866 |
+
"step": 143
|
867 |
},
|
868 |
{
|
869 |
+
"epoch": 0.48,
|
870 |
"learning_rate": 0.00028599999999999996,
|
871 |
+
"loss": 4.4849,
|
872 |
+
"step": 144
|
873 |
},
|
874 |
{
|
875 |
+
"epoch": 0.49,
|
876 |
"learning_rate": 0.000288,
|
877 |
+
"loss": 4.6754,
|
878 |
+
"step": 145
|
879 |
},
|
880 |
{
|
881 |
+
"epoch": 0.49,
|
882 |
"learning_rate": 0.00029,
|
883 |
+
"loss": 4.3389,
|
884 |
+
"step": 146
|
885 |
},
|
886 |
{
|
887 |
+
"epoch": 0.49,
|
888 |
"learning_rate": 0.000292,
|
889 |
+
"loss": 5.3417,
|
890 |
+
"step": 147
|
891 |
},
|
892 |
{
|
893 |
+
"epoch": 0.5,
|
894 |
"learning_rate": 0.000294,
|
895 |
+
"loss": 4.739,
|
896 |
+
"step": 148
|
897 |
},
|
898 |
{
|
899 |
+
"epoch": 0.5,
|
900 |
"learning_rate": 0.000296,
|
901 |
+
"loss": 4.8816,
|
902 |
+
"step": 149
|
903 |
},
|
904 |
{
|
905 |
+
"epoch": 0.5,
|
906 |
"learning_rate": 0.000298,
|
907 |
+
"loss": 5.0976,
|
908 |
+
"step": 150
|
909 |
},
|
910 |
{
|
911 |
+
"epoch": 0.51,
|
912 |
"learning_rate": 0.0003,
|
913 |
+
"loss": 4.6187,
|
914 |
+
"step": 151
|
915 |
},
|
916 |
{
|
917 |
+
"epoch": 0.51,
|
918 |
"learning_rate": 0.000302,
|
919 |
+
"loss": 4.5796,
|
920 |
+
"step": 152
|
921 |
},
|
922 |
{
|
923 |
+
"epoch": 0.51,
|
924 |
"learning_rate": 0.000304,
|
925 |
+
"loss": 4.4965,
|
926 |
+
"step": 153
|
927 |
},
|
928 |
{
|
929 |
+
"epoch": 0.52,
|
930 |
"learning_rate": 0.000306,
|
931 |
+
"loss": 4.4367,
|
932 |
+
"step": 154
|
933 |
},
|
934 |
{
|
935 |
+
"epoch": 0.52,
|
936 |
"learning_rate": 0.000308,
|
937 |
+
"loss": 4.3843,
|
938 |
+
"step": 155
|
939 |
},
|
940 |
{
|
941 |
+
"epoch": 0.52,
|
942 |
"learning_rate": 0.00031,
|
943 |
+
"loss": 4.4425,
|
944 |
+
"step": 156
|
945 |
},
|
946 |
{
|
947 |
+
"epoch": 0.53,
|
948 |
"learning_rate": 0.000312,
|
949 |
+
"loss": 4.3224,
|
950 |
+
"step": 157
|
951 |
},
|
952 |
{
|
953 |
+
"epoch": 0.53,
|
954 |
"learning_rate": 0.000314,
|
955 |
+
"loss": 4.3704,
|
956 |
+
"step": 158
|
957 |
},
|
958 |
{
|
959 |
+
"epoch": 0.53,
|
960 |
"learning_rate": 0.000316,
|
961 |
+
"loss": 4.3799,
|
962 |
+
"step": 159
|
963 |
},
|
964 |
{
|
965 |
+
"epoch": 0.54,
|
966 |
"learning_rate": 0.00031800000000000003,
|
967 |
+
"loss": 4.4944,
|
968 |
+
"step": 160
|
969 |
},
|
970 |
{
|
971 |
+
"epoch": 0.54,
|
972 |
"learning_rate": 0.00032,
|
973 |
+
"loss": 4.4363,
|
974 |
+
"step": 161
|
975 |
},
|
976 |
{
|
977 |
+
"epoch": 0.54,
|
978 |
"learning_rate": 0.000322,
|
979 |
+
"loss": 4.2812,
|
980 |
+
"step": 162
|
981 |
},
|
982 |
{
|
983 |
+
"epoch": 0.55,
|
984 |
"learning_rate": 0.000324,
|
985 |
+
"loss": 4.4024,
|
986 |
+
"step": 163
|
987 |
},
|
988 |
{
|
989 |
+
"epoch": 0.55,
|
990 |
"learning_rate": 0.000326,
|
991 |
+
"loss": 4.2637,
|
992 |
+
"step": 164
|
993 |
},
|
994 |
{
|
995 |
+
"epoch": 0.55,
|
996 |
"learning_rate": 0.000328,
|
997 |
+
"loss": 4.3806,
|
998 |
+
"step": 165
|
999 |
},
|
1000 |
{
|
1001 |
+
"epoch": 0.56,
|
1002 |
"learning_rate": 0.00033,
|
1003 |
+
"loss": 4.3163,
|
1004 |
+
"step": 166
|
1005 |
},
|
1006 |
{
|
1007 |
+
"epoch": 0.56,
|
1008 |
"learning_rate": 0.00033200000000000005,
|
1009 |
+
"loss": 4.2933,
|
1010 |
+
"step": 167
|
1011 |
},
|
1012 |
{
|
1013 |
+
"epoch": 0.56,
|
1014 |
"learning_rate": 0.00033400000000000004,
|
1015 |
+
"loss": 4.4188,
|
1016 |
+
"step": 168
|
1017 |
},
|
1018 |
{
|
1019 |
+
"epoch": 0.57,
|
1020 |
"learning_rate": 0.00033600000000000004,
|
1021 |
+
"loss": 4.4134,
|
1022 |
+
"step": 169
|
1023 |
},
|
1024 |
{
|
1025 |
+
"epoch": 0.57,
|
1026 |
"learning_rate": 0.00033800000000000003,
|
1027 |
+
"loss": 4.4127,
|
1028 |
+
"step": 170
|
1029 |
},
|
1030 |
{
|
1031 |
+
"epoch": 0.58,
|
1032 |
"learning_rate": 0.00034,
|
1033 |
+
"loss": 4.2583,
|
1034 |
+
"step": 171
|
1035 |
},
|
1036 |
{
|
1037 |
+
"epoch": 0.58,
|
1038 |
"learning_rate": 0.000342,
|
1039 |
+
"loss": 4.3188,
|
1040 |
+
"step": 172
|
1041 |
},
|
1042 |
{
|
1043 |
+
"epoch": 0.58,
|
1044 |
"learning_rate": 0.00034399999999999996,
|
1045 |
+
"loss": 4.3439,
|
1046 |
+
"step": 173
|
1047 |
},
|
1048 |
{
|
1049 |
+
"epoch": 0.59,
|
1050 |
"learning_rate": 0.000346,
|
1051 |
+
"loss": 4.4033,
|
1052 |
+
"step": 174
|
1053 |
},
|
1054 |
{
|
1055 |
+
"epoch": 0.59,
|
1056 |
"learning_rate": 0.000348,
|
1057 |
+
"loss": 4.5878,
|
1058 |
+
"step": 175
|
1059 |
},
|
1060 |
{
|
1061 |
+
"epoch": 0.59,
|
1062 |
"learning_rate": 0.00035,
|
1063 |
+
"loss": 4.4151,
|
1064 |
+
"step": 176
|
1065 |
},
|
1066 |
{
|
1067 |
+
"epoch": 0.6,
|
1068 |
"learning_rate": 0.000352,
|
1069 |
+
"loss": 4.4215,
|
1070 |
+
"step": 177
|
1071 |
},
|
1072 |
{
|
1073 |
+
"epoch": 0.6,
|
1074 |
"learning_rate": 0.000354,
|
1075 |
+
"loss": 4.305,
|
1076 |
+
"step": 178
|
1077 |
},
|
1078 |
{
|
1079 |
+
"epoch": 0.6,
|
1080 |
"learning_rate": 0.000356,
|
1081 |
+
"loss": 4.2926,
|
1082 |
+
"step": 179
|
1083 |
},
|
1084 |
{
|
1085 |
+
"epoch": 0.61,
|
1086 |
"learning_rate": 0.000358,
|
1087 |
+
"loss": 4.4736,
|
1088 |
+
"step": 180
|
1089 |
},
|
1090 |
{
|
1091 |
+
"epoch": 0.61,
|
1092 |
"learning_rate": 0.00035999999999999997,
|
1093 |
+
"loss": 4.4711,
|
1094 |
+
"step": 181
|
1095 |
},
|
1096 |
{
|
1097 |
+
"epoch": 0.61,
|
1098 |
"learning_rate": 0.000362,
|
1099 |
+
"loss": 4.4852,
|
1100 |
+
"step": 182
|
1101 |
},
|
1102 |
{
|
1103 |
+
"epoch": 0.62,
|
1104 |
"learning_rate": 0.000364,
|
1105 |
+
"loss": 4.4917,
|
1106 |
+
"step": 183
|
1107 |
},
|
1108 |
{
|
1109 |
+
"epoch": 0.62,
|
1110 |
"learning_rate": 0.000366,
|
1111 |
+
"loss": 4.4806,
|
1112 |
+
"step": 184
|
1113 |
},
|
1114 |
{
|
1115 |
+
"epoch": 0.62,
|
1116 |
"learning_rate": 0.000368,
|
1117 |
+
"loss": 4.4324,
|
1118 |
+
"step": 185
|
1119 |
},
|
1120 |
{
|
1121 |
+
"epoch": 0.63,
|
1122 |
"learning_rate": 0.00037,
|
1123 |
+
"loss": 4.3491,
|
1124 |
+
"step": 186
|
1125 |
},
|
1126 |
{
|
1127 |
+
"epoch": 0.63,
|
1128 |
"learning_rate": 0.000372,
|
1129 |
+
"loss": 4.4705,
|
1130 |
+
"step": 187
|
1131 |
},
|
1132 |
{
|
1133 |
+
"epoch": 0.63,
|
1134 |
"learning_rate": 0.000374,
|
1135 |
+
"loss": 4.3801,
|
1136 |
+
"step": 188
|
1137 |
},
|
1138 |
{
|
1139 |
+
"epoch": 0.64,
|
1140 |
"learning_rate": 0.00037600000000000003,
|
1141 |
+
"loss": 4.3337,
|
1142 |
+
"step": 189
|
1143 |
},
|
1144 |
{
|
1145 |
+
"epoch": 0.64,
|
1146 |
"learning_rate": 0.000378,
|
1147 |
+
"loss": 4.4856,
|
1148 |
+
"step": 190
|
1149 |
},
|
1150 |
{
|
1151 |
+
"epoch": 0.64,
|
1152 |
"learning_rate": 0.00038,
|
1153 |
+
"loss": 4.5416,
|
1154 |
+
"step": 191
|
1155 |
},
|
1156 |
{
|
1157 |
+
"epoch": 0.65,
|
1158 |
"learning_rate": 0.000382,
|
1159 |
+
"loss": 4.6047,
|
1160 |
+
"step": 192
|
1161 |
},
|
1162 |
{
|
1163 |
+
"epoch": 0.65,
|
1164 |
"learning_rate": 0.000384,
|
1165 |
+
"loss": 4.5076,
|
1166 |
+
"step": 193
|
1167 |
},
|
1168 |
{
|
1169 |
+
"epoch": 0.65,
|
1170 |
"learning_rate": 0.000386,
|
1171 |
+
"loss": 4.6097,
|
1172 |
+
"step": 194
|
1173 |
},
|
1174 |
{
|
1175 |
+
"epoch": 0.66,
|
1176 |
"learning_rate": 0.000388,
|
1177 |
+
"loss": 4.4656,
|
1178 |
+
"step": 195
|
1179 |
},
|
1180 |
{
|
1181 |
+
"epoch": 0.66,
|
1182 |
"learning_rate": 0.00039000000000000005,
|
1183 |
+
"loss": 4.5988,
|
1184 |
+
"step": 196
|
1185 |
},
|
1186 |
{
|
1187 |
+
"epoch": 0.66,
|
1188 |
"learning_rate": 0.00039200000000000004,
|
1189 |
+
"loss": 4.4527,
|
1190 |
+
"step": 197
|
1191 |
},
|
1192 |
{
|
1193 |
+
"epoch": 0.67,
|
1194 |
"learning_rate": 0.00039400000000000004,
|
1195 |
+
"loss": 5.1282,
|
1196 |
+
"step": 198
|
1197 |
},
|
1198 |
{
|
1199 |
+
"epoch": 0.67,
|
1200 |
"learning_rate": 0.00039600000000000003,
|
1201 |
+
"loss": 4.5988,
|
1202 |
+
"step": 199
|
1203 |
},
|
1204 |
{
|
1205 |
+
"epoch": 0.67,
|
1206 |
"learning_rate": 0.000398,
|
1207 |
+
"loss": 5.5887,
|
1208 |
+
"step": 200
|
1209 |
},
|
1210 |
{
|
1211 |
+
"epoch": 0.68,
|
1212 |
"learning_rate": 0.0004,
|
1213 |
+
"loss": 6.4326,
|
1214 |
+
"step": 201
|
1215 |
},
|
1216 |
{
|
1217 |
+
"epoch": 0.68,
|
1218 |
"learning_rate": 0.000402,
|
1219 |
+
"loss": 4.8245,
|
1220 |
+
"step": 202
|
1221 |
},
|
1222 |
{
|
1223 |
+
"epoch": 0.68,
|
1224 |
"learning_rate": 0.000404,
|
1225 |
+
"loss": 4.625,
|
1226 |
+
"step": 203
|
1227 |
},
|
1228 |
{
|
1229 |
+
"epoch": 0.69,
|
1230 |
"learning_rate": 0.00040600000000000006,
|
1231 |
+
"loss": 4.7209,
|
1232 |
+
"step": 204
|
1233 |
},
|
1234 |
{
|
1235 |
+
"epoch": 0.69,
|
1236 |
"learning_rate": 0.000408,
|
1237 |
+
"loss": 4.6639,
|
1238 |
+
"step": 205
|
1239 |
},
|
1240 |
{
|
1241 |
+
"epoch": 0.69,
|
1242 |
"learning_rate": 0.00041,
|
1243 |
+
"loss": 4.709,
|
1244 |
+
"step": 206
|
1245 |
},
|
1246 |
{
|
1247 |
+
"epoch": 0.7,
|
1248 |
"learning_rate": 0.000412,
|
1249 |
+
"loss": 5.1396,
|
1250 |
+
"step": 207
|
1251 |
},
|
1252 |
{
|
1253 |
+
"epoch": 0.7,
|
1254 |
"learning_rate": 0.000414,
|
1255 |
+
"loss": 4.5794,
|
1256 |
+
"step": 208
|
1257 |
},
|
1258 |
{
|
1259 |
+
"epoch": 0.7,
|
1260 |
"learning_rate": 0.000416,
|
1261 |
+
"loss": 4.7483,
|
1262 |
+
"step": 209
|
1263 |
},
|
1264 |
{
|
1265 |
+
"epoch": 0.71,
|
1266 |
"learning_rate": 0.00041799999999999997,
|
1267 |
+
"loss": 4.6424,
|
1268 |
+
"step": 210
|
1269 |
},
|
1270 |
{
|
1271 |
+
"epoch": 0.71,
|
1272 |
"learning_rate": 0.00042,
|
1273 |
+
"loss": 4.4329,
|
1274 |
+
"step": 211
|
1275 |
},
|
1276 |
{
|
1277 |
+
"epoch": 0.71,
|
1278 |
"learning_rate": 0.000422,
|
1279 |
+
"loss": 4.5834,
|
1280 |
+
"step": 212
|
1281 |
},
|
1282 |
{
|
1283 |
+
"epoch": 0.72,
|
1284 |
"learning_rate": 0.000424,
|
1285 |
+
"loss": 4.893,
|
1286 |
+
"step": 213
|
1287 |
},
|
1288 |
{
|
1289 |
+
"epoch": 0.72,
|
1290 |
"learning_rate": 0.000426,
|
1291 |
+
"loss": 4.552,
|
1292 |
+
"step": 214
|
1293 |
},
|
1294 |
{
|
1295 |
+
"epoch": 0.72,
|
1296 |
"learning_rate": 0.000428,
|
1297 |
+
"loss": 4.6231,
|
1298 |
+
"step": 215
|
1299 |
},
|
1300 |
{
|
1301 |
+
"epoch": 0.73,
|
1302 |
"learning_rate": 0.00043,
|
1303 |
+
"loss": 4.4696,
|
1304 |
+
"step": 216
|
1305 |
},
|
1306 |
{
|
1307 |
+
"epoch": 0.73,
|
1308 |
"learning_rate": 0.000432,
|
1309 |
+
"loss": 4.5927,
|
1310 |
+
"step": 217
|
1311 |
},
|
1312 |
{
|
1313 |
+
"epoch": 0.73,
|
1314 |
"learning_rate": 0.00043400000000000003,
|
1315 |
+
"loss": 4.3821,
|
1316 |
+
"step": 218
|
1317 |
},
|
1318 |
{
|
1319 |
+
"epoch": 0.74,
|
1320 |
"learning_rate": 0.000436,
|
1321 |
+
"loss": 4.3723,
|
1322 |
+
"step": 219
|
1323 |
},
|
1324 |
{
|
1325 |
+
"epoch": 0.74,
|
1326 |
"learning_rate": 0.000438,
|
1327 |
+
"loss": 4.5752,
|
1328 |
+
"step": 220
|
1329 |
},
|
1330 |
{
|
1331 |
+
"epoch": 0.74,
|
1332 |
"learning_rate": 0.00044,
|
1333 |
+
"loss": 4.4816,
|
1334 |
+
"step": 221
|
1335 |
},
|
1336 |
{
|
1337 |
+
"epoch": 0.75,
|
1338 |
"learning_rate": 0.000442,
|
1339 |
+
"loss": 4.4694,
|
1340 |
+
"step": 222
|
1341 |
},
|
1342 |
{
|
1343 |
+
"epoch": 0.75,
|
1344 |
"learning_rate": 0.000444,
|
1345 |
+
"loss": 4.4168,
|
1346 |
+
"step": 223
|
1347 |
},
|
1348 |
{
|
1349 |
+
"epoch": 0.75,
|
1350 |
"learning_rate": 0.000446,
|
1351 |
+
"loss": 4.5059,
|
1352 |
+
"step": 224
|
1353 |
},
|
1354 |
{
|
1355 |
+
"epoch": 0.76,
|
1356 |
"learning_rate": 0.000448,
|
1357 |
+
"loss": 4.4529,
|
1358 |
+
"step": 225
|
1359 |
},
|
1360 |
{
|
1361 |
+
"epoch": 0.76,
|
1362 |
"learning_rate": 0.00045000000000000004,
|
1363 |
+
"loss": 4.6363,
|
1364 |
+
"step": 226
|
1365 |
},
|
1366 |
{
|
1367 |
+
"epoch": 0.76,
|
1368 |
"learning_rate": 0.00045200000000000004,
|
1369 |
+
"loss": 4.6407,
|
1370 |
+
"step": 227
|
1371 |
},
|
1372 |
{
|
1373 |
+
"epoch": 0.77,
|
1374 |
"learning_rate": 0.00045400000000000003,
|
1375 |
+
"loss": 4.3059,
|
1376 |
+
"step": 228
|
1377 |
},
|
1378 |
{
|
1379 |
+
"epoch": 0.77,
|
1380 |
"learning_rate": 0.000456,
|
1381 |
+
"loss": 4.4393,
|
1382 |
+
"step": 229
|
1383 |
},
|
1384 |
{
|
1385 |
+
"epoch": 0.77,
|
1386 |
"learning_rate": 0.000458,
|
1387 |
+
"loss": 4.4847,
|
1388 |
+
"step": 230
|
1389 |
},
|
1390 |
{
|
1391 |
+
"epoch": 0.78,
|
1392 |
"learning_rate": 0.00046,
|
1393 |
+
"loss": 4.7014,
|
1394 |
+
"step": 231
|
1395 |
},
|
1396 |
{
|
1397 |
+
"epoch": 0.78,
|
1398 |
"learning_rate": 0.000462,
|
1399 |
+
"loss": 4.6399,
|
1400 |
+
"step": 232
|
1401 |
},
|
1402 |
{
|
1403 |
+
"epoch": 0.78,
|
1404 |
"learning_rate": 0.00046400000000000006,
|
1405 |
+
"loss": 4.6032,
|
1406 |
+
"step": 233
|
1407 |
},
|
1408 |
{
|
1409 |
+
"epoch": 0.79,
|
1410 |
"learning_rate": 0.00046600000000000005,
|
1411 |
+
"loss": 4.7998,
|
1412 |
+
"step": 234
|
1413 |
},
|
1414 |
{
|
1415 |
+
"epoch": 0.79,
|
1416 |
"learning_rate": 0.00046800000000000005,
|
1417 |
+
"loss": 4.6568,
|
1418 |
+
"step": 235
|
1419 |
},
|
1420 |
{
|
1421 |
+
"epoch": 0.79,
|
1422 |
"learning_rate": 0.00047,
|
1423 |
+
"loss": 4.5006,
|
1424 |
+
"step": 236
|
1425 |
},
|
1426 |
{
|
1427 |
+
"epoch": 0.8,
|
1428 |
"learning_rate": 0.000472,
|
1429 |
+
"loss": 4.5085,
|
1430 |
+
"step": 237
|
1431 |
},
|
1432 |
{
|
1433 |
+
"epoch": 0.8,
|
1434 |
"learning_rate": 0.000474,
|
1435 |
+
"loss": 4.5638,
|
1436 |
+
"step": 238
|
1437 |
},
|
1438 |
{
|
1439 |
+
"epoch": 0.8,
|
1440 |
"learning_rate": 0.00047599999999999997,
|
1441 |
+
"loss": 4.5744,
|
1442 |
+
"step": 239
|
1443 |
},
|
1444 |
{
|
1445 |
+
"epoch": 0.81,
|
1446 |
"learning_rate": 0.00047799999999999996,
|
1447 |
+
"loss": 4.6586,
|
1448 |
+
"step": 240
|
1449 |
},
|
1450 |
{
|
1451 |
+
"epoch": 0.81,
|
1452 |
"learning_rate": 0.00048,
|
1453 |
+
"loss": 5.0386,
|
1454 |
+
"step": 241
|
1455 |
},
|
1456 |
{
|
1457 |
+
"epoch": 0.81,
|
1458 |
"learning_rate": 0.000482,
|
1459 |
+
"loss": 4.9982,
|
1460 |
+
"step": 242
|
1461 |
},
|
1462 |
{
|
1463 |
+
"epoch": 0.82,
|
1464 |
"learning_rate": 0.000484,
|
1465 |
+
"loss": 4.6487,
|
1466 |
+
"step": 243
|
1467 |
},
|
1468 |
{
|
1469 |
+
"epoch": 0.82,
|
1470 |
"learning_rate": 0.000486,
|
1471 |
+
"loss": 4.4706,
|
1472 |
+
"step": 244
|
1473 |
},
|
1474 |
{
|
1475 |
+
"epoch": 0.82,
|
1476 |
"learning_rate": 0.000488,
|
1477 |
+
"loss": 4.581,
|
1478 |
+
"step": 245
|
1479 |
},
|
1480 |
{
|
1481 |
+
"epoch": 0.83,
|
1482 |
"learning_rate": 0.00049,
|
1483 |
+
"loss": 4.6588,
|
1484 |
+
"step": 246
|
1485 |
},
|
1486 |
{
|
1487 |
+
"epoch": 0.83,
|
1488 |
"learning_rate": 0.000492,
|
1489 |
+
"loss": 4.6926,
|
1490 |
+
"step": 247
|
1491 |
},
|
1492 |
{
|
1493 |
+
"epoch": 0.83,
|
1494 |
"learning_rate": 0.000494,
|
1495 |
+
"loss": 4.712,
|
1496 |
+
"step": 248
|
1497 |
},
|
1498 |
{
|
1499 |
+
"epoch": 0.84,
|
1500 |
"learning_rate": 0.000496,
|
1501 |
+
"loss": 5.1018,
|
1502 |
+
"step": 249
|
1503 |
},
|
1504 |
{
|
1505 |
+
"epoch": 0.84,
|
1506 |
"learning_rate": 0.000498,
|
1507 |
+
"loss": 4.5331,
|
1508 |
+
"step": 250
|
1509 |
},
|
1510 |
{
|
1511 |
+
"epoch": 0.84,
|
1512 |
"learning_rate": 0.0005,
|
1513 |
+
"loss": 4.8435,
|
1514 |
+
"step": 251
|
1515 |
},
|
1516 |
{
|
1517 |
+
"epoch": 0.85,
|
1518 |
"learning_rate": 0.0005020000000000001,
|
1519 |
+
"loss": 4.7466,
|
1520 |
+
"step": 252
|
1521 |
},
|
1522 |
{
|
1523 |
+
"epoch": 0.85,
|
1524 |
"learning_rate": 0.000504,
|
1525 |
+
"loss": 4.7877,
|
1526 |
+
"step": 253
|
1527 |
},
|
1528 |
{
|
1529 |
+
"epoch": 0.85,
|
1530 |
"learning_rate": 0.000506,
|
1531 |
+
"loss": 4.6377,
|
1532 |
+
"step": 254
|
1533 |
},
|
1534 |
{
|
1535 |
+
"epoch": 0.86,
|
1536 |
"learning_rate": 0.000508,
|
1537 |
+
"loss": 4.6048,
|
1538 |
+
"step": 255
|
1539 |
},
|
1540 |
{
|
1541 |
+
"epoch": 0.86,
|
1542 |
"learning_rate": 0.00051,
|
1543 |
+
"loss": 4.6086,
|
1544 |
+
"step": 256
|
1545 |
},
|
1546 |
{
|
1547 |
+
"epoch": 0.86,
|
1548 |
"learning_rate": 0.000512,
|
1549 |
+
"loss": 4.8381,
|
1550 |
+
"step": 257
|
1551 |
},
|
1552 |
{
|
1553 |
+
"epoch": 0.87,
|
1554 |
"learning_rate": 0.000514,
|
1555 |
+
"loss": 4.5629,
|
1556 |
+
"step": 258
|
1557 |
},
|
1558 |
{
|
1559 |
+
"epoch": 0.87,
|
1560 |
"learning_rate": 0.0005160000000000001,
|
1561 |
+
"loss": 4.6615,
|
1562 |
+
"step": 259
|
1563 |
},
|
1564 |
{
|
1565 |
+
"epoch": 0.87,
|
1566 |
"learning_rate": 0.000518,
|
1567 |
+
"loss": 4.5271,
|
1568 |
+
"step": 260
|
1569 |
},
|
1570 |
{
|
1571 |
+
"epoch": 0.88,
|
1572 |
"learning_rate": 0.0005200000000000001,
|
1573 |
+
"loss": 4.6963,
|
1574 |
+
"step": 261
|
1575 |
},
|
1576 |
{
|
1577 |
+
"epoch": 0.88,
|
1578 |
"learning_rate": 0.000522,
|
1579 |
+
"loss": 4.616,
|
1580 |
+
"step": 262
|
1581 |
},
|
1582 |
{
|
1583 |
+
"epoch": 0.88,
|
1584 |
"learning_rate": 0.000524,
|
1585 |
+
"loss": 4.6217,
|
1586 |
+
"step": 263
|
1587 |
},
|
1588 |
{
|
1589 |
+
"epoch": 0.89,
|
1590 |
"learning_rate": 0.000526,
|
1591 |
+
"loss": 4.5987,
|
1592 |
+
"step": 264
|
1593 |
},
|
1594 |
{
|
1595 |
+
"epoch": 0.89,
|
1596 |
"learning_rate": 0.000528,
|
1597 |
+
"loss": 4.6084,
|
1598 |
+
"step": 265
|
1599 |
},
|
1600 |
{
|
1601 |
+
"epoch": 0.89,
|
1602 |
"learning_rate": 0.0005300000000000001,
|
1603 |
+
"loss": 4.7973,
|
1604 |
+
"step": 266
|
1605 |
},
|
1606 |
{
|
1607 |
+
"epoch": 0.9,
|
1608 |
"learning_rate": 0.000532,
|
1609 |
+
"loss": 4.5744,
|
1610 |
+
"step": 267
|
1611 |
},
|
1612 |
{
|
1613 |
+
"epoch": 0.9,
|
1614 |
"learning_rate": 0.0005340000000000001,
|
1615 |
+
"loss": 4.7483,
|
1616 |
+
"step": 268
|
1617 |
},
|
1618 |
{
|
1619 |
+
"epoch": 0.9,
|
1620 |
"learning_rate": 0.000536,
|
1621 |
+
"loss": 4.4083,
|
1622 |
+
"step": 269
|
1623 |
},
|
1624 |
{
|
1625 |
+
"epoch": 0.91,
|
1626 |
"learning_rate": 0.0005380000000000001,
|
1627 |
+
"loss": 4.6659,
|
1628 |
+
"step": 270
|
1629 |
},
|
1630 |
{
|
1631 |
+
"epoch": 0.91,
|
1632 |
"learning_rate": 0.00054,
|
1633 |
+
"loss": 4.5806,
|
1634 |
+
"step": 271
|
1635 |
},
|
1636 |
{
|
1637 |
+
"epoch": 0.91,
|
1638 |
"learning_rate": 0.0005420000000000001,
|
1639 |
+
"loss": 4.4699,
|
1640 |
+
"step": 272
|
1641 |
},
|
1642 |
{
|
1643 |
+
"epoch": 0.92,
|
1644 |
"learning_rate": 0.0005440000000000001,
|
1645 |
+
"loss": 4.6826,
|
1646 |
+
"step": 273
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1647 |
},
|
1648 |
{
|
1649 |
"epoch": 0.92,
|
1650 |
+
"learning_rate": 0.000546,
|
1651 |
+
"loss": 4.5738,
|
1652 |
+
"step": 274
|
1653 |
},
|
1654 |
{
|
1655 |
"epoch": 0.92,
|
1656 |
+
"learning_rate": 0.0005480000000000001,
|
1657 |
+
"loss": 4.5848,
|
1658 |
+
"step": 275
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1659 |
},
|
1660 |
{
|
1661 |
"epoch": 0.93,
|
1662 |
+
"learning_rate": 0.00055,
|
1663 |
+
"loss": 4.6156,
|
1664 |
+
"step": 276
|
1665 |
},
|
1666 |
{
|
1667 |
"epoch": 0.93,
|
1668 |
+
"learning_rate": 0.0005520000000000001,
|
1669 |
+
"loss": 4.6793,
|
1670 |
+
"step": 277
|
1671 |
},
|
1672 |
{
|
1673 |
"epoch": 0.93,
|
1674 |
+
"learning_rate": 0.000554,
|
1675 |
+
"loss": 4.6557,
|
1676 |
+
"step": 278
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1677 |
},
|
1678 |
{
|
1679 |
"epoch": 0.94,
|
1680 |
+
"learning_rate": 0.0005560000000000001,
|
1681 |
+
"loss": 4.6794,
|
1682 |
+
"step": 279
|
1683 |
},
|
1684 |
{
|
1685 |
"epoch": 0.94,
|
1686 |
+
"learning_rate": 0.000558,
|
1687 |
+
"loss": 4.4396,
|
1688 |
+
"step": 280
|
1689 |
},
|
1690 |
{
|
1691 |
"epoch": 0.94,
|
1692 |
+
"learning_rate": 0.0005600000000000001,
|
1693 |
+
"loss": 4.7257,
|
1694 |
+
"step": 281
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1695 |
},
|
1696 |
{
|
1697 |
"epoch": 0.95,
|
1698 |
+
"learning_rate": 0.0005620000000000001,
|
1699 |
+
"loss": 4.4927,
|
1700 |
+
"step": 282
|
1701 |
},
|
1702 |
{
|
1703 |
"epoch": 0.95,
|
1704 |
+
"learning_rate": 0.0005639999999999999,
|
1705 |
+
"loss": 4.6712,
|
1706 |
+
"step": 283
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1707 |
},
|
1708 |
{
|
1709 |
"epoch": 0.96,
|
1710 |
+
"learning_rate": 0.000566,
|
1711 |
+
"loss": 4.4852,
|
1712 |
+
"step": 284
|
1713 |
},
|
1714 |
{
|
1715 |
"epoch": 0.96,
|
1716 |
+
"learning_rate": 0.0005679999999999999,
|
1717 |
+
"loss": 4.7465,
|
1718 |
+
"step": 285
|
1719 |
},
|
1720 |
{
|
1721 |
"epoch": 0.96,
|
1722 |
+
"learning_rate": 0.00057,
|
1723 |
+
"loss": 4.7233,
|
1724 |
+
"step": 286
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1725 |
},
|
1726 |
{
|
1727 |
"epoch": 0.97,
|
1728 |
+
"learning_rate": 0.0005719999999999999,
|
1729 |
+
"loss": 4.6061,
|
1730 |
+
"step": 287
|
1731 |
},
|
1732 |
{
|
1733 |
"epoch": 0.97,
|
1734 |
+
"learning_rate": 0.000574,
|
1735 |
+
"loss": 4.6499,
|
1736 |
+
"step": 288
|
1737 |
},
|
1738 |
{
|
1739 |
"epoch": 0.97,
|
1740 |
+
"learning_rate": 0.000576,
|
1741 |
+
"loss": 4.5556,
|
1742 |
+
"step": 289
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1743 |
},
|
1744 |
{
|
1745 |
"epoch": 0.98,
|
1746 |
+
"learning_rate": 0.000578,
|
1747 |
+
"loss": 4.6277,
|
1748 |
+
"step": 290
|
1749 |
},
|
1750 |
{
|
1751 |
"epoch": 0.98,
|
1752 |
+
"learning_rate": 0.00058,
|
1753 |
+
"loss": 4.6354,
|
1754 |
+
"step": 291
|
1755 |
},
|
1756 |
{
|
1757 |
"epoch": 0.98,
|
1758 |
+
"learning_rate": 0.0005819999999999999,
|
1759 |
+
"loss": 4.7174,
|
1760 |
+
"step": 292
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1761 |
},
|
1762 |
{
|
1763 |
"epoch": 0.99,
|
1764 |
+
"learning_rate": 0.000584,
|
1765 |
+
"loss": 4.5303,
|
1766 |
+
"step": 293
|
1767 |
},
|
1768 |
{
|
1769 |
"epoch": 0.99,
|
1770 |
+
"learning_rate": 0.0005859999999999999,
|
1771 |
+
"loss": 5.5856,
|
1772 |
+
"step": 294
|
1773 |
},
|
1774 |
{
|
1775 |
"epoch": 0.99,
|
1776 |
+
"learning_rate": 0.000588,
|
1777 |
+
"loss": 4.7103,
|
1778 |
+
"step": 295
|
|
|
|
|
|
|
|
|
|
|
|
|
1779 |
},
|
1780 |
{
|
1781 |
"epoch": 1.0,
|
1782 |
+
"learning_rate": 0.00059,
|
1783 |
+
"loss": 5.2133,
|
1784 |
+
"step": 296
|
1785 |
},
|
1786 |
{
|
1787 |
"epoch": 1.0,
|
1788 |
+
"learning_rate": 0.000592,
|
1789 |
+
"loss": 4.7346,
|
1790 |
+
"step": 297
|
1791 |
},
|
1792 |
{
|
1793 |
"epoch": 1.0,
|
1794 |
+
"step": 297,
|
1795 |
"total_flos": 0.0,
|
1796 |
+
"train_loss": 4.473529295487837,
|
1797 |
+
"train_runtime": 4542.6558,
|
1798 |
+
"train_samples_per_second": 6.282,
|
1799 |
+
"train_steps_per_second": 0.065
|
1800 |
}
|
1801 |
],
|
1802 |
+
"max_steps": 297,
|
1803 |
"num_train_epochs": 1,
|
1804 |
"total_flos": 0.0,
|
1805 |
"trial_name": null,
|