RobbieJimersonJr
commited on
Commit
•
a7f840a
1
Parent(s):
2f8b7f9
End of training
Browse files- all_results.json +9 -9
- eval_results.json +5 -5
- train_results.json +5 -5
- trainer_state.json +1190 -761
all_results.json
CHANGED
@@ -1,12 +1,12 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_loss": 0.
|
4 |
-
"eval_runtime":
|
5 |
-
"eval_samples_per_second": 0.
|
6 |
"eval_steps_per_second": 0.291,
|
7 |
-
"eval_wer":
|
8 |
-
"train_loss": 0.
|
9 |
-
"train_runtime":
|
10 |
-
"train_samples_per_second":
|
11 |
-
"train_steps_per_second": 0.
|
12 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 25.0,
|
3 |
+
"eval_loss": 0.5983160138130188,
|
4 |
+
"eval_runtime": 2218.8828,
|
5 |
+
"eval_samples_per_second": 0.581,
|
6 |
"eval_steps_per_second": 0.291,
|
7 |
+
"eval_wer": 27.49828990734407,
|
8 |
+
"train_loss": 0.0937204750527475,
|
9 |
+
"train_runtime": 49250.3081,
|
10 |
+
"train_samples_per_second": 2.524,
|
11 |
+
"train_steps_per_second": 0.158
|
12 |
}
|
eval_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_loss": 0.
|
4 |
-
"eval_runtime":
|
5 |
-
"eval_samples_per_second": 0.
|
6 |
"eval_steps_per_second": 0.291,
|
7 |
-
"eval_wer":
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 25.0,
|
3 |
+
"eval_loss": 0.5983160138130188,
|
4 |
+
"eval_runtime": 2218.8828,
|
5 |
+
"eval_samples_per_second": 0.581,
|
6 |
"eval_steps_per_second": 0.291,
|
7 |
+
"eval_wer": 27.49828990734407
|
8 |
}
|
train_results.json
CHANGED
@@ -1,7 +1,7 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"train_loss": 0.
|
4 |
-
"train_runtime":
|
5 |
-
"train_samples_per_second":
|
6 |
-
"train_steps_per_second": 0.
|
7 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 25.0,
|
3 |
+
"train_loss": 0.0937204750527475,
|
4 |
+
"train_runtime": 49250.3081,
|
5 |
+
"train_samples_per_second": 2.524,
|
6 |
+
"train_steps_per_second": 0.158
|
7 |
}
|
trainer_state.json
CHANGED
@@ -1,1519 +1,1948 @@
|
|
1 |
{
|
2 |
-
"best_metric":
|
3 |
-
"best_model_checkpoint": "/home/rcj2772/data_sets/Seneca/output_dir/checkpoint-
|
4 |
-
"epoch":
|
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": 25
|
15 |
},
|
16 |
{
|
17 |
"epoch": 0.01,
|
18 |
-
"learning_rate":
|
19 |
-
"loss":
|
20 |
"step": 50
|
21 |
},
|
22 |
{
|
23 |
"epoch": 0.01,
|
24 |
-
"learning_rate": 1.
|
25 |
-
"loss":
|
26 |
"step": 75
|
27 |
},
|
28 |
{
|
29 |
-
"epoch": 0.
|
30 |
-
"learning_rate": 1.
|
31 |
-
"loss":
|
32 |
"step": 100
|
33 |
},
|
34 |
{
|
35 |
"epoch": 0.02,
|
36 |
-
"learning_rate": 2.
|
37 |
-
"loss": 1.
|
38 |
"step": 125
|
39 |
},
|
40 |
{
|
41 |
-
"epoch": 0.
|
42 |
-
"learning_rate": 2.
|
43 |
-
"loss":
|
44 |
"step": 150
|
45 |
},
|
46 |
{
|
47 |
-
"epoch": 0.
|
48 |
-
"learning_rate": 3.
|
49 |
-
"loss":
|
50 |
"step": 175
|
51 |
},
|
52 |
{
|
53 |
"epoch": 0.03,
|
54 |
-
"learning_rate": 3.
|
55 |
-
"loss":
|
56 |
"step": 200
|
57 |
},
|
58 |
{
|
59 |
-
"epoch": 0.
|
60 |
-
"learning_rate": 4.
|
61 |
-
"loss":
|
62 |
"step": 225
|
63 |
},
|
64 |
{
|
65 |
-
"epoch": 0.
|
66 |
-
"learning_rate": 4.
|
67 |
-
"loss": 0.
|
68 |
"step": 250
|
69 |
},
|
70 |
{
|
71 |
-
"epoch": 0.
|
72 |
-
"learning_rate": 5.
|
73 |
-
"loss": 0.
|
74 |
"step": 275
|
75 |
},
|
76 |
{
|
77 |
-
"epoch": 0.
|
78 |
-
"learning_rate": 5.
|
79 |
-
"loss": 0.
|
80 |
"step": 300
|
81 |
},
|
82 |
{
|
83 |
-
"epoch": 0
|
84 |
-
"learning_rate": 6.
|
85 |
-
"loss": 0.
|
86 |
"step": 325
|
87 |
},
|
88 |
{
|
89 |
-
"epoch":
|
90 |
-
"learning_rate": 6.
|
91 |
-
"loss": 0.
|
92 |
"step": 350
|
93 |
},
|
94 |
{
|
95 |
-
"epoch":
|
96 |
-
"learning_rate": 7.
|
97 |
-
"loss": 0.
|
98 |
"step": 375
|
99 |
},
|
100 |
{
|
101 |
-
"epoch":
|
102 |
-
"learning_rate": 7.
|
103 |
-
"loss": 0.
|
104 |
"step": 400
|
105 |
},
|
106 |
{
|
107 |
-
"epoch":
|
108 |
-
"learning_rate": 8.
|
109 |
-
"loss": 0.
|
110 |
"step": 425
|
111 |
},
|
112 |
{
|
113 |
-
"epoch":
|
114 |
-
"learning_rate": 8.
|
115 |
-
"loss": 0.
|
116 |
"step": 450
|
117 |
},
|
118 |
{
|
119 |
-
"epoch":
|
120 |
-
"learning_rate": 9.
|
121 |
-
"loss": 0.
|
122 |
"step": 475
|
123 |
},
|
124 |
{
|
125 |
-
"epoch":
|
126 |
-
"learning_rate": 9.
|
127 |
-
"loss": 0.
|
128 |
"step": 500
|
129 |
},
|
130 |
{
|
131 |
-
"epoch":
|
132 |
-
"learning_rate": 9.
|
133 |
-
"loss": 0.
|
134 |
"step": 525
|
135 |
},
|
136 |
{
|
137 |
-
"epoch":
|
138 |
-
"learning_rate": 9.
|
139 |
-
"loss": 0.
|
140 |
"step": 550
|
141 |
},
|
142 |
{
|
143 |
-
"epoch":
|
144 |
-
"learning_rate": 9.
|
145 |
-
"loss": 0.
|
146 |
"step": 575
|
147 |
},
|
148 |
{
|
149 |
-
"epoch":
|
150 |
-
"learning_rate": 9.
|
151 |
-
"loss": 0.
|
152 |
"step": 600
|
153 |
},
|
154 |
{
|
155 |
-
"epoch": 0
|
156 |
-
"learning_rate": 9.
|
157 |
-
"loss": 0.
|
158 |
"step": 625
|
159 |
},
|
160 |
{
|
161 |
-
"epoch": 0
|
162 |
-
"learning_rate": 9.
|
163 |
-
"loss": 0.
|
164 |
"step": 650
|
165 |
},
|
166 |
{
|
167 |
-
"epoch":
|
168 |
-
"learning_rate": 9.
|
169 |
-
"loss": 0.
|
170 |
"step": 675
|
171 |
},
|
172 |
{
|
173 |
-
"epoch":
|
174 |
-
"learning_rate": 9.
|
175 |
-
"loss": 0.
|
176 |
"step": 700
|
177 |
},
|
178 |
{
|
179 |
-
"epoch":
|
180 |
-
"learning_rate": 9.
|
181 |
-
"loss": 0.
|
182 |
"step": 725
|
183 |
},
|
184 |
{
|
185 |
-
"epoch":
|
186 |
-
"learning_rate": 9.
|
187 |
-
"loss": 0.
|
188 |
"step": 750
|
189 |
},
|
190 |
{
|
191 |
-
"epoch":
|
192 |
-
"learning_rate": 9.
|
193 |
-
"loss": 0.
|
194 |
"step": 775
|
195 |
},
|
196 |
{
|
197 |
-
"epoch":
|
198 |
-
"learning_rate": 9.
|
199 |
-
"loss": 0.
|
200 |
"step": 800
|
201 |
},
|
202 |
{
|
203 |
-
"epoch":
|
204 |
-
"learning_rate": 9.
|
205 |
-
"loss": 0.
|
206 |
"step": 825
|
207 |
},
|
208 |
{
|
209 |
-
"epoch":
|
210 |
-
"learning_rate": 9.
|
211 |
-
"loss": 0.
|
212 |
"step": 850
|
213 |
},
|
214 |
{
|
215 |
-
"epoch":
|
216 |
-
"learning_rate": 9.
|
217 |
-
"loss": 0.
|
218 |
"step": 875
|
219 |
},
|
220 |
{
|
221 |
-
"epoch":
|
222 |
-
"learning_rate": 9.
|
223 |
-
"loss": 0.
|
224 |
"step": 900
|
225 |
},
|
226 |
{
|
227 |
-
"epoch":
|
228 |
-
"learning_rate": 9.
|
229 |
-
"loss": 0.
|
230 |
"step": 925
|
231 |
},
|
232 |
{
|
233 |
-
"epoch": 0
|
234 |
-
"learning_rate": 9.
|
235 |
-
"loss": 0.
|
236 |
"step": 950
|
237 |
},
|
238 |
{
|
239 |
-
"epoch":
|
240 |
-
"learning_rate": 9.
|
241 |
-
"loss": 0.
|
242 |
"step": 975
|
243 |
},
|
244 |
{
|
245 |
-
"epoch":
|
246 |
-
"learning_rate": 9.
|
247 |
-
"loss": 0.
|
248 |
"step": 1000
|
249 |
},
|
250 |
{
|
251 |
-
"epoch":
|
252 |
-
"eval_loss": 0.
|
253 |
-
"eval_runtime":
|
254 |
-
"eval_samples_per_second": 0.
|
255 |
-
"eval_steps_per_second": 0.
|
256 |
-
"eval_wer":
|
257 |
"step": 1000
|
258 |
},
|
259 |
{
|
260 |
-
"epoch":
|
261 |
-
"learning_rate": 9.
|
262 |
-
"loss": 0.
|
263 |
"step": 1025
|
264 |
},
|
265 |
{
|
266 |
-
"epoch":
|
267 |
-
"learning_rate": 9.
|
268 |
-
"loss": 0.
|
269 |
"step": 1050
|
270 |
},
|
271 |
{
|
272 |
-
"epoch":
|
273 |
-
"learning_rate":
|
274 |
-
"loss": 0.
|
275 |
"step": 1075
|
276 |
},
|
277 |
{
|
278 |
-
"epoch":
|
279 |
-
"learning_rate":
|
280 |
-
"loss": 0.
|
281 |
"step": 1100
|
282 |
},
|
283 |
{
|
284 |
-
"epoch":
|
285 |
-
"learning_rate":
|
286 |
-
"loss": 0.
|
287 |
"step": 1125
|
288 |
},
|
289 |
{
|
290 |
-
"epoch":
|
291 |
-
"learning_rate":
|
292 |
-
"loss": 0.
|
293 |
"step": 1150
|
294 |
},
|
295 |
{
|
296 |
-
"epoch":
|
297 |
-
"learning_rate":
|
298 |
-
"loss": 0.
|
299 |
"step": 1175
|
300 |
},
|
301 |
{
|
302 |
-
"epoch":
|
303 |
-
"learning_rate":
|
304 |
-
"loss": 0.
|
305 |
"step": 1200
|
306 |
},
|
307 |
{
|
308 |
-
"epoch":
|
309 |
-
"learning_rate":
|
310 |
-
"loss": 0.
|
311 |
"step": 1225
|
312 |
},
|
313 |
{
|
314 |
-
"epoch": 0
|
315 |
-
"learning_rate": 8.
|
316 |
-
"loss": 0.
|
317 |
"step": 1250
|
318 |
},
|
319 |
{
|
320 |
-
"epoch": 0
|
321 |
-
"learning_rate": 8.
|
322 |
-
"loss": 0.
|
323 |
"step": 1275
|
324 |
},
|
325 |
{
|
326 |
-
"epoch":
|
327 |
-
"learning_rate": 8.
|
328 |
-
"loss": 0.
|
329 |
"step": 1300
|
330 |
},
|
331 |
{
|
332 |
-
"epoch":
|
333 |
-
"learning_rate": 8.
|
334 |
-
"loss": 0.
|
335 |
"step": 1325
|
336 |
},
|
337 |
{
|
338 |
-
"epoch":
|
339 |
-
"learning_rate": 8.
|
340 |
-
"loss": 0.
|
341 |
"step": 1350
|
342 |
},
|
343 |
{
|
344 |
-
"epoch":
|
345 |
-
"learning_rate": 8.
|
346 |
-
"loss": 0.
|
347 |
"step": 1375
|
348 |
},
|
349 |
{
|
350 |
-
"epoch":
|
351 |
-
"learning_rate": 8.
|
352 |
-
"loss": 0.
|
353 |
"step": 1400
|
354 |
},
|
355 |
{
|
356 |
-
"epoch":
|
357 |
-
"learning_rate": 8.
|
358 |
-
"loss": 0.
|
359 |
"step": 1425
|
360 |
},
|
361 |
{
|
362 |
-
"epoch":
|
363 |
-
"learning_rate": 8.
|
364 |
-
"loss": 0.
|
365 |
"step": 1450
|
366 |
},
|
367 |
{
|
368 |
-
"epoch":
|
369 |
-
"learning_rate": 8.
|
370 |
-
"loss": 0.
|
371 |
"step": 1475
|
372 |
},
|
373 |
{
|
374 |
-
"epoch":
|
375 |
-
"learning_rate": 8.
|
376 |
-
"loss": 0.
|
377 |
"step": 1500
|
378 |
},
|
379 |
{
|
380 |
-
"epoch":
|
381 |
-
"learning_rate": 8.
|
382 |
-
"loss": 0.
|
383 |
"step": 1525
|
384 |
},
|
385 |
{
|
386 |
-
"epoch":
|
387 |
-
"learning_rate": 8.
|
388 |
-
"loss": 0.
|
389 |
"step": 1550
|
390 |
},
|
391 |
{
|
392 |
-
"epoch": 0
|
393 |
-
"learning_rate": 8.
|
394 |
-
"loss": 0.
|
395 |
"step": 1575
|
396 |
},
|
397 |
{
|
398 |
-
"epoch":
|
399 |
-
"learning_rate": 8.
|
400 |
-
"loss": 0.
|
401 |
"step": 1600
|
402 |
},
|
403 |
{
|
404 |
-
"epoch":
|
405 |
-
"learning_rate":
|
406 |
-
"loss": 0.
|
407 |
"step": 1625
|
408 |
},
|
409 |
{
|
410 |
-
"epoch":
|
411 |
-
"learning_rate":
|
412 |
-
"loss": 0.
|
413 |
"step": 1650
|
414 |
},
|
415 |
{
|
416 |
-
"epoch":
|
417 |
-
"learning_rate":
|
418 |
-
"loss": 0.
|
419 |
"step": 1675
|
420 |
},
|
421 |
{
|
422 |
-
"epoch":
|
423 |
-
"learning_rate":
|
424 |
-
"loss": 0.
|
425 |
"step": 1700
|
426 |
},
|
427 |
{
|
428 |
-
"epoch":
|
429 |
-
"learning_rate":
|
430 |
-
"loss": 0.
|
431 |
"step": 1725
|
432 |
},
|
433 |
{
|
434 |
-
"epoch":
|
435 |
-
"learning_rate":
|
436 |
-
"loss": 0.
|
437 |
"step": 1750
|
438 |
},
|
439 |
{
|
440 |
-
"epoch":
|
441 |
-
"learning_rate":
|
442 |
-
"loss": 0.
|
443 |
"step": 1775
|
444 |
},
|
445 |
{
|
446 |
-
"epoch":
|
447 |
-
"learning_rate":
|
448 |
-
"loss": 0.
|
449 |
"step": 1800
|
450 |
},
|
451 |
{
|
452 |
-
"epoch":
|
453 |
-
"learning_rate":
|
454 |
-
"loss": 0.
|
455 |
"step": 1825
|
456 |
},
|
457 |
{
|
458 |
-
"epoch":
|
459 |
-
"learning_rate":
|
460 |
-
"loss": 0.
|
461 |
"step": 1850
|
462 |
},
|
463 |
{
|
464 |
-
"epoch": 0
|
465 |
-
"learning_rate":
|
466 |
-
"loss": 0.
|
467 |
"step": 1875
|
468 |
},
|
469 |
{
|
470 |
-
"epoch":
|
471 |
-
"learning_rate":
|
472 |
-
"loss": 0.
|
473 |
"step": 1900
|
474 |
},
|
475 |
{
|
476 |
-
"epoch":
|
477 |
-
"learning_rate":
|
478 |
-
"loss": 0.
|
479 |
"step": 1925
|
480 |
},
|
481 |
{
|
482 |
-
"epoch":
|
483 |
-
"learning_rate":
|
484 |
-
"loss": 0.
|
485 |
"step": 1950
|
486 |
},
|
487 |
{
|
488 |
-
"epoch":
|
489 |
-
"learning_rate": 7.
|
490 |
-
"loss": 0.
|
491 |
"step": 1975
|
492 |
},
|
493 |
{
|
494 |
-
"epoch":
|
495 |
-
"learning_rate": 7.
|
496 |
-
"loss": 0.
|
497 |
"step": 2000
|
498 |
},
|
499 |
{
|
500 |
-
"epoch":
|
501 |
-
"eval_loss": 0.
|
502 |
-
"eval_runtime":
|
503 |
-
"eval_samples_per_second": 0.
|
504 |
-
"eval_steps_per_second": 0.
|
505 |
-
"eval_wer":
|
506 |
"step": 2000
|
507 |
},
|
508 |
{
|
509 |
-
"epoch":
|
510 |
-
"learning_rate": 7.
|
511 |
-
"loss": 0.
|
512 |
"step": 2025
|
513 |
},
|
514 |
{
|
515 |
-
"epoch":
|
516 |
-
"learning_rate": 7.
|
517 |
-
"loss": 0.
|
518 |
"step": 2050
|
519 |
},
|
520 |
{
|
521 |
-
"epoch":
|
522 |
-
"learning_rate": 7.
|
523 |
-
"loss": 0.
|
524 |
"step": 2075
|
525 |
},
|
526 |
{
|
527 |
-
"epoch":
|
528 |
-
"learning_rate": 7.
|
529 |
-
"loss": 0.
|
530 |
"step": 2100
|
531 |
},
|
532 |
{
|
533 |
-
"epoch":
|
534 |
-
"learning_rate": 7.
|
535 |
-
"loss": 0.
|
536 |
"step": 2125
|
537 |
},
|
538 |
{
|
539 |
-
"epoch":
|
540 |
-
"learning_rate": 7.
|
541 |
-
"loss": 0.
|
542 |
"step": 2150
|
543 |
},
|
544 |
{
|
545 |
-
"epoch": 0
|
546 |
-
"learning_rate":
|
547 |
-
"loss": 0.
|
548 |
"step": 2175
|
549 |
},
|
550 |
{
|
551 |
-
"epoch": 0
|
552 |
-
"learning_rate":
|
553 |
-
"loss": 0.
|
554 |
"step": 2200
|
555 |
},
|
556 |
{
|
557 |
-
"epoch":
|
558 |
-
"learning_rate":
|
559 |
-
"loss": 0.
|
560 |
"step": 2225
|
561 |
},
|
562 |
{
|
563 |
-
"epoch":
|
564 |
-
"learning_rate":
|
565 |
-
"loss": 0.
|
566 |
"step": 2250
|
567 |
},
|
568 |
{
|
569 |
-
"epoch":
|
570 |
-
"learning_rate":
|
571 |
-
"loss": 0.
|
572 |
"step": 2275
|
573 |
},
|
574 |
{
|
575 |
-
"epoch":
|
576 |
-
"learning_rate":
|
577 |
-
"loss": 0.
|
578 |
"step": 2300
|
579 |
},
|
580 |
{
|
581 |
-
"epoch":
|
582 |
-
"learning_rate":
|
583 |
-
"loss": 0.
|
584 |
"step": 2325
|
585 |
},
|
586 |
{
|
587 |
-
"epoch":
|
588 |
-
"learning_rate":
|
589 |
-
"loss": 0.
|
590 |
"step": 2350
|
591 |
},
|
592 |
{
|
593 |
-
"epoch":
|
594 |
-
"learning_rate":
|
595 |
-
"loss": 0.
|
596 |
"step": 2375
|
597 |
},
|
598 |
{
|
599 |
-
"epoch":
|
600 |
-
"learning_rate":
|
601 |
-
"loss": 0.
|
602 |
"step": 2400
|
603 |
},
|
604 |
{
|
605 |
-
"epoch":
|
606 |
-
"learning_rate":
|
607 |
-
"loss": 0.
|
608 |
"step": 2425
|
609 |
},
|
610 |
{
|
611 |
-
"epoch":
|
612 |
-
"learning_rate":
|
613 |
-
"loss": 0.
|
614 |
"step": 2450
|
615 |
},
|
616 |
{
|
617 |
-
"epoch":
|
618 |
-
"learning_rate":
|
619 |
-
"loss": 0.
|
620 |
"step": 2475
|
621 |
},
|
622 |
{
|
623 |
-
"epoch":
|
624 |
-
"learning_rate":
|
625 |
-
"loss": 0.
|
626 |
"step": 2500
|
627 |
},
|
628 |
{
|
629 |
-
"epoch":
|
630 |
-
"learning_rate":
|
631 |
-
"loss": 0.
|
632 |
"step": 2525
|
633 |
},
|
634 |
{
|
635 |
-
"epoch":
|
636 |
-
"learning_rate":
|
637 |
-
"loss": 0.
|
638 |
"step": 2550
|
639 |
},
|
640 |
{
|
641 |
-
"epoch":
|
642 |
-
"learning_rate":
|
643 |
-
"loss": 0.
|
644 |
"step": 2575
|
645 |
},
|
646 |
{
|
647 |
-
"epoch":
|
648 |
-
"learning_rate":
|
649 |
-
"loss": 0.
|
650 |
"step": 2600
|
651 |
},
|
652 |
{
|
653 |
-
"epoch":
|
654 |
-
"learning_rate":
|
655 |
-
"loss": 0.
|
656 |
"step": 2625
|
657 |
},
|
658 |
{
|
659 |
-
"epoch":
|
660 |
-
"learning_rate":
|
661 |
-
"loss": 0.
|
662 |
"step": 2650
|
663 |
},
|
664 |
{
|
665 |
-
"epoch":
|
666 |
-
"learning_rate":
|
667 |
-
"loss": 0.
|
668 |
"step": 2675
|
669 |
},
|
670 |
{
|
671 |
-
"epoch":
|
672 |
-
"learning_rate": 6.
|
673 |
-
"loss": 0.
|
674 |
"step": 2700
|
675 |
},
|
676 |
{
|
677 |
-
"epoch":
|
678 |
-
"learning_rate":
|
679 |
-
"loss": 0.
|
680 |
"step": 2725
|
681 |
},
|
682 |
{
|
683 |
-
"epoch":
|
684 |
-
"learning_rate":
|
685 |
-
"loss": 0.
|
686 |
"step": 2750
|
687 |
},
|
688 |
{
|
689 |
-
"epoch":
|
690 |
-
"learning_rate":
|
691 |
-
"loss": 0.
|
692 |
"step": 2775
|
693 |
},
|
694 |
{
|
695 |
-
"epoch":
|
696 |
-
"learning_rate":
|
697 |
-
"loss": 0.
|
698 |
"step": 2800
|
699 |
},
|
700 |
{
|
701 |
-
"epoch":
|
702 |
-
"learning_rate":
|
703 |
-
"loss": 0.
|
704 |
"step": 2825
|
705 |
},
|
706 |
{
|
707 |
-
"epoch":
|
708 |
-
"learning_rate":
|
709 |
-
"loss": 0.
|
710 |
"step": 2850
|
711 |
},
|
712 |
{
|
713 |
-
"epoch":
|
714 |
-
"learning_rate":
|
715 |
-
"loss": 0.
|
716 |
"step": 2875
|
717 |
},
|
718 |
{
|
719 |
-
"epoch":
|
720 |
-
"learning_rate":
|
721 |
-
"loss": 0.
|
722 |
"step": 2900
|
723 |
},
|
724 |
{
|
725 |
-
"epoch":
|
726 |
-
"learning_rate":
|
727 |
-
"loss": 0.
|
728 |
"step": 2925
|
729 |
},
|
730 |
{
|
731 |
-
"epoch":
|
732 |
-
"learning_rate":
|
733 |
-
"loss": 0.
|
734 |
"step": 2950
|
735 |
},
|
736 |
{
|
737 |
-
"epoch":
|
738 |
-
"learning_rate":
|
739 |
-
"loss": 0.
|
740 |
"step": 2975
|
741 |
},
|
742 |
{
|
743 |
-
"epoch":
|
744 |
-
"learning_rate":
|
745 |
-
"loss": 0.
|
746 |
"step": 3000
|
747 |
},
|
748 |
{
|
749 |
-
"epoch":
|
750 |
-
"eval_loss": 0.
|
751 |
-
"eval_runtime":
|
752 |
-
"eval_samples_per_second": 0.
|
753 |
-
"eval_steps_per_second": 0.
|
754 |
-
"eval_wer":
|
755 |
"step": 3000
|
756 |
},
|
757 |
{
|
758 |
-
"epoch":
|
759 |
-
"learning_rate":
|
760 |
-
"loss": 0.
|
761 |
"step": 3025
|
762 |
},
|
763 |
{
|
764 |
-
"epoch":
|
765 |
-
"learning_rate":
|
766 |
-
"loss": 0.
|
767 |
"step": 3050
|
768 |
},
|
769 |
{
|
770 |
-
"epoch":
|
771 |
-
"learning_rate":
|
772 |
-
"loss": 0.
|
773 |
"step": 3075
|
774 |
},
|
775 |
{
|
776 |
-
"epoch":
|
777 |
-
"learning_rate":
|
778 |
-
"loss": 0.
|
779 |
"step": 3100
|
780 |
},
|
781 |
{
|
782 |
-
"epoch":
|
783 |
-
"learning_rate":
|
784 |
-
"loss": 0.
|
785 |
"step": 3125
|
786 |
},
|
787 |
{
|
788 |
-
"epoch":
|
789 |
-
"learning_rate":
|
790 |
-
"loss": 0.
|
791 |
"step": 3150
|
792 |
},
|
793 |
{
|
794 |
-
"epoch":
|
795 |
-
"learning_rate":
|
796 |
-
"loss": 0.
|
797 |
"step": 3175
|
798 |
},
|
799 |
{
|
800 |
-
"epoch":
|
801 |
-
"learning_rate":
|
802 |
-
"loss": 0.
|
803 |
"step": 3200
|
804 |
},
|
805 |
{
|
806 |
-
"epoch":
|
807 |
-
"learning_rate":
|
808 |
-
"loss": 0.
|
809 |
"step": 3225
|
810 |
},
|
811 |
{
|
812 |
-
"epoch":
|
813 |
-
"learning_rate":
|
814 |
-
"loss": 0.
|
815 |
"step": 3250
|
816 |
},
|
817 |
{
|
818 |
-
"epoch":
|
819 |
-
"learning_rate":
|
820 |
-
"loss": 0.
|
821 |
"step": 3275
|
822 |
},
|
823 |
{
|
824 |
-
"epoch":
|
825 |
-
"learning_rate":
|
826 |
-
"loss": 0.
|
827 |
"step": 3300
|
828 |
},
|
829 |
{
|
830 |
-
"epoch":
|
831 |
-
"learning_rate":
|
832 |
-
"loss": 0.
|
833 |
"step": 3325
|
834 |
},
|
835 |
{
|
836 |
-
"epoch":
|
837 |
-
"learning_rate":
|
838 |
-
"loss": 0.
|
839 |
"step": 3350
|
840 |
},
|
841 |
{
|
842 |
-
"epoch":
|
843 |
-
"learning_rate":
|
844 |
-
"loss": 0.
|
845 |
"step": 3375
|
846 |
},
|
847 |
{
|
848 |
-
"epoch":
|
849 |
-
"learning_rate":
|
850 |
-
"loss": 0.
|
851 |
"step": 3400
|
852 |
},
|
853 |
{
|
854 |
-
"epoch":
|
855 |
-
"learning_rate":
|
856 |
-
"loss": 0.
|
857 |
"step": 3425
|
858 |
},
|
859 |
{
|
860 |
-
"epoch":
|
861 |
-
"learning_rate":
|
862 |
-
"loss": 0.
|
863 |
"step": 3450
|
864 |
},
|
865 |
{
|
866 |
-
"epoch":
|
867 |
-
"learning_rate":
|
868 |
-
"loss": 0.
|
869 |
"step": 3475
|
870 |
},
|
871 |
{
|
872 |
-
"epoch":
|
873 |
-
"learning_rate":
|
874 |
-
"loss": 0.
|
875 |
"step": 3500
|
876 |
},
|
877 |
{
|
878 |
-
"epoch":
|
879 |
-
"learning_rate":
|
880 |
-
"loss": 0.
|
881 |
"step": 3525
|
882 |
},
|
883 |
{
|
884 |
-
"epoch":
|
885 |
-
"learning_rate":
|
886 |
-
"loss": 0.
|
887 |
"step": 3550
|
888 |
},
|
889 |
{
|
890 |
-
"epoch":
|
891 |
-
"learning_rate":
|
892 |
-
"loss": 0.
|
893 |
"step": 3575
|
894 |
},
|
895 |
{
|
896 |
-
"epoch":
|
897 |
-
"learning_rate":
|
898 |
-
"loss": 0.
|
899 |
"step": 3600
|
900 |
},
|
901 |
{
|
902 |
-
"epoch":
|
903 |
-
"learning_rate":
|
904 |
-
"loss": 0.
|
905 |
"step": 3625
|
906 |
},
|
907 |
{
|
908 |
-
"epoch":
|
909 |
-
"learning_rate":
|
910 |
-
"loss": 0.
|
911 |
"step": 3650
|
912 |
},
|
913 |
{
|
914 |
-
"epoch":
|
915 |
-
"learning_rate":
|
916 |
-
"loss": 0.
|
917 |
"step": 3675
|
918 |
},
|
919 |
{
|
920 |
-
"epoch":
|
921 |
-
"learning_rate":
|
922 |
-
"loss": 0.
|
923 |
"step": 3700
|
924 |
},
|
925 |
{
|
926 |
-
"epoch":
|
927 |
-
"learning_rate":
|
928 |
-
"loss": 0.
|
929 |
"step": 3725
|
930 |
},
|
931 |
{
|
932 |
-
"epoch":
|
933 |
-
"learning_rate":
|
934 |
-
"loss": 0.
|
935 |
"step": 3750
|
936 |
},
|
937 |
{
|
938 |
-
"epoch":
|
939 |
-
"learning_rate":
|
940 |
-
"loss": 0.
|
941 |
"step": 3775
|
942 |
},
|
943 |
{
|
944 |
-
"epoch":
|
945 |
-
"learning_rate":
|
946 |
-
"loss": 0.
|
947 |
"step": 3800
|
948 |
},
|
949 |
{
|
950 |
-
"epoch":
|
951 |
-
"learning_rate":
|
952 |
-
"loss": 0.
|
953 |
"step": 3825
|
954 |
},
|
955 |
{
|
956 |
-
"epoch":
|
957 |
-
"learning_rate":
|
958 |
-
"loss": 0.
|
959 |
"step": 3850
|
960 |
},
|
961 |
{
|
962 |
-
"epoch":
|
963 |
-
"learning_rate":
|
964 |
-
"loss": 0.
|
965 |
"step": 3875
|
966 |
},
|
967 |
{
|
968 |
-
"epoch":
|
969 |
-
"learning_rate":
|
970 |
-
"loss": 0.
|
971 |
"step": 3900
|
972 |
},
|
973 |
{
|
974 |
-
"epoch":
|
975 |
-
"learning_rate":
|
976 |
-
"loss": 0.
|
977 |
"step": 3925
|
978 |
},
|
979 |
{
|
980 |
-
"epoch":
|
981 |
-
"learning_rate":
|
982 |
-
"loss": 0.
|
983 |
"step": 3950
|
984 |
},
|
985 |
{
|
986 |
-
"epoch":
|
987 |
-
"learning_rate":
|
988 |
-
"loss": 0.
|
989 |
"step": 3975
|
990 |
},
|
991 |
{
|
992 |
-
"epoch":
|
993 |
-
"learning_rate":
|
994 |
-
"loss": 0.
|
995 |
"step": 4000
|
996 |
},
|
997 |
{
|
998 |
-
"epoch":
|
999 |
-
"eval_loss": 0.
|
1000 |
-
"eval_runtime":
|
1001 |
-
"eval_samples_per_second": 0.
|
1002 |
-
"eval_steps_per_second": 0.
|
1003 |
-
"eval_wer":
|
1004 |
"step": 4000
|
1005 |
},
|
1006 |
{
|
1007 |
-
"epoch":
|
1008 |
-
"learning_rate":
|
1009 |
-
"loss": 0.
|
1010 |
"step": 4025
|
1011 |
},
|
1012 |
{
|
1013 |
-
"epoch":
|
1014 |
-
"learning_rate":
|
1015 |
-
"loss": 0.
|
1016 |
"step": 4050
|
1017 |
},
|
1018 |
{
|
1019 |
-
"epoch":
|
1020 |
-
"learning_rate":
|
1021 |
-
"loss": 0.
|
1022 |
"step": 4075
|
1023 |
},
|
1024 |
{
|
1025 |
-
"epoch":
|
1026 |
-
"learning_rate":
|
1027 |
-
"loss": 0.
|
1028 |
"step": 4100
|
1029 |
},
|
1030 |
{
|
1031 |
-
"epoch":
|
1032 |
-
"learning_rate":
|
1033 |
-
"loss": 0.
|
1034 |
"step": 4125
|
1035 |
},
|
1036 |
{
|
1037 |
-
"epoch":
|
1038 |
-
"learning_rate":
|
1039 |
-
"loss": 0.
|
1040 |
"step": 4150
|
1041 |
},
|
1042 |
{
|
1043 |
-
"epoch":
|
1044 |
-
"learning_rate":
|
1045 |
-
"loss": 0.
|
1046 |
"step": 4175
|
1047 |
},
|
1048 |
{
|
1049 |
-
"epoch":
|
1050 |
-
"learning_rate":
|
1051 |
-
"loss": 0.
|
1052 |
"step": 4200
|
1053 |
},
|
1054 |
{
|
1055 |
-
"epoch":
|
1056 |
-
"learning_rate":
|
1057 |
-
"loss": 0.
|
1058 |
"step": 4225
|
1059 |
},
|
1060 |
{
|
1061 |
-
"epoch":
|
1062 |
-
"learning_rate":
|
1063 |
-
"loss": 0.
|
1064 |
"step": 4250
|
1065 |
},
|
1066 |
{
|
1067 |
-
"epoch":
|
1068 |
-
"learning_rate":
|
1069 |
-
"loss": 0.
|
1070 |
"step": 4275
|
1071 |
},
|
1072 |
{
|
1073 |
-
"epoch":
|
1074 |
-
"learning_rate":
|
1075 |
-
"loss": 0.
|
1076 |
"step": 4300
|
1077 |
},
|
1078 |
{
|
1079 |
-
"epoch":
|
1080 |
-
"learning_rate":
|
1081 |
-
"loss": 0.
|
1082 |
"step": 4325
|
1083 |
},
|
1084 |
{
|
1085 |
-
"epoch":
|
1086 |
-
"learning_rate":
|
1087 |
-
"loss": 0.
|
1088 |
"step": 4350
|
1089 |
},
|
1090 |
{
|
1091 |
-
"epoch":
|
1092 |
-
"learning_rate":
|
1093 |
-
"loss": 0.
|
1094 |
"step": 4375
|
1095 |
},
|
1096 |
{
|
1097 |
-
"epoch":
|
1098 |
-
"learning_rate":
|
1099 |
-
"loss": 0.
|
1100 |
"step": 4400
|
1101 |
},
|
1102 |
{
|
1103 |
-
"epoch":
|
1104 |
-
"learning_rate":
|
1105 |
-
"loss": 0.
|
1106 |
"step": 4425
|
1107 |
},
|
1108 |
{
|
1109 |
-
"epoch":
|
1110 |
-
"learning_rate":
|
1111 |
-
"loss": 0.
|
1112 |
"step": 4450
|
1113 |
},
|
1114 |
{
|
1115 |
-
"epoch":
|
1116 |
-
"learning_rate":
|
1117 |
-
"loss": 0.
|
1118 |
"step": 4475
|
1119 |
},
|
1120 |
{
|
1121 |
-
"epoch":
|
1122 |
-
"learning_rate":
|
1123 |
-
"loss": 0.
|
1124 |
"step": 4500
|
1125 |
},
|
1126 |
{
|
1127 |
-
"epoch":
|
1128 |
-
"learning_rate":
|
1129 |
-
"loss": 0.
|
1130 |
"step": 4525
|
1131 |
},
|
1132 |
{
|
1133 |
-
"epoch":
|
1134 |
-
"learning_rate":
|
1135 |
-
"loss": 0.
|
1136 |
"step": 4550
|
1137 |
},
|
1138 |
{
|
1139 |
-
"epoch":
|
1140 |
-
"learning_rate":
|
1141 |
-
"loss": 0.
|
1142 |
"step": 4575
|
1143 |
},
|
1144 |
{
|
1145 |
-
"epoch":
|
1146 |
-
"learning_rate":
|
1147 |
-
"loss": 0.
|
1148 |
"step": 4600
|
1149 |
},
|
1150 |
{
|
1151 |
-
"epoch":
|
1152 |
-
"learning_rate":
|
1153 |
-
"loss": 0.
|
1154 |
"step": 4625
|
1155 |
},
|
1156 |
{
|
1157 |
-
"epoch":
|
1158 |
-
"learning_rate":
|
1159 |
-
"loss": 0.
|
1160 |
"step": 4650
|
1161 |
},
|
1162 |
{
|
1163 |
-
"epoch":
|
1164 |
-
"learning_rate":
|
1165 |
-
"loss": 0.
|
1166 |
"step": 4675
|
1167 |
},
|
1168 |
{
|
1169 |
-
"epoch":
|
1170 |
-
"learning_rate":
|
1171 |
-
"loss": 0.
|
1172 |
"step": 4700
|
1173 |
},
|
1174 |
{
|
1175 |
-
"epoch":
|
1176 |
-
"learning_rate":
|
1177 |
-
"loss": 0.
|
1178 |
"step": 4725
|
1179 |
},
|
1180 |
{
|
1181 |
-
"epoch":
|
1182 |
-
"learning_rate":
|
1183 |
-
"loss": 0.
|
1184 |
"step": 4750
|
1185 |
},
|
1186 |
{
|
1187 |
-
"epoch":
|
1188 |
-
"learning_rate":
|
1189 |
-
"loss": 0.
|
1190 |
"step": 4775
|
1191 |
},
|
1192 |
{
|
1193 |
-
"epoch":
|
1194 |
-
"learning_rate":
|
1195 |
-
"loss": 0.
|
1196 |
"step": 4800
|
1197 |
},
|
1198 |
{
|
1199 |
-
"epoch":
|
1200 |
-
"learning_rate":
|
1201 |
-
"loss": 0.
|
1202 |
"step": 4825
|
1203 |
},
|
1204 |
{
|
1205 |
-
"epoch":
|
1206 |
-
"learning_rate":
|
1207 |
-
"loss": 0.
|
1208 |
"step": 4850
|
1209 |
},
|
1210 |
{
|
1211 |
-
"epoch":
|
1212 |
-
"learning_rate":
|
1213 |
-
"loss": 0.
|
1214 |
"step": 4875
|
1215 |
},
|
1216 |
{
|
1217 |
-
"epoch":
|
1218 |
-
"learning_rate":
|
1219 |
-
"loss": 0.
|
1220 |
"step": 4900
|
1221 |
},
|
1222 |
{
|
1223 |
-
"epoch":
|
1224 |
-
"learning_rate":
|
1225 |
-
"loss": 0.
|
1226 |
"step": 4925
|
1227 |
},
|
1228 |
{
|
1229 |
-
"epoch":
|
1230 |
-
"learning_rate":
|
1231 |
-
"loss": 0.
|
1232 |
"step": 4950
|
1233 |
},
|
1234 |
{
|
1235 |
-
"epoch":
|
1236 |
-
"learning_rate":
|
1237 |
-
"loss": 0.
|
1238 |
"step": 4975
|
1239 |
},
|
1240 |
{
|
1241 |
-
"epoch":
|
1242 |
-
"learning_rate":
|
1243 |
-
"loss": 0.
|
1244 |
"step": 5000
|
1245 |
},
|
1246 |
{
|
1247 |
-
"epoch":
|
1248 |
-
"eval_loss": 0.
|
1249 |
-
"eval_runtime":
|
1250 |
"eval_samples_per_second": 0.583,
|
1251 |
"eval_steps_per_second": 0.292,
|
1252 |
-
"eval_wer":
|
1253 |
"step": 5000
|
1254 |
},
|
1255 |
{
|
1256 |
-
"epoch":
|
1257 |
-
"learning_rate":
|
1258 |
-
"loss": 0.
|
1259 |
"step": 5025
|
1260 |
},
|
1261 |
{
|
1262 |
-
"epoch":
|
1263 |
-
"learning_rate":
|
1264 |
-
"loss": 0.
|
1265 |
"step": 5050
|
1266 |
},
|
1267 |
{
|
1268 |
-
"epoch":
|
1269 |
-
"learning_rate":
|
1270 |
-
"loss": 0.
|
1271 |
"step": 5075
|
1272 |
},
|
1273 |
{
|
1274 |
-
"epoch":
|
1275 |
-
"learning_rate":
|
1276 |
-
"loss": 0.
|
1277 |
"step": 5100
|
1278 |
},
|
1279 |
{
|
1280 |
-
"epoch":
|
1281 |
-
"learning_rate":
|
1282 |
-
"loss": 0.
|
1283 |
"step": 5125
|
1284 |
},
|
1285 |
{
|
1286 |
-
"epoch":
|
1287 |
-
"learning_rate":
|
1288 |
-
"loss": 0.
|
1289 |
"step": 5150
|
1290 |
},
|
1291 |
{
|
1292 |
-
"epoch":
|
1293 |
-
"learning_rate":
|
1294 |
-
"loss": 0.
|
1295 |
"step": 5175
|
1296 |
},
|
1297 |
{
|
1298 |
-
"epoch":
|
1299 |
-
"learning_rate":
|
1300 |
-
"loss": 0.
|
1301 |
"step": 5200
|
1302 |
},
|
1303 |
{
|
1304 |
-
"epoch":
|
1305 |
-
"learning_rate":
|
1306 |
-
"loss": 0.
|
1307 |
"step": 5225
|
1308 |
},
|
1309 |
{
|
1310 |
-
"epoch":
|
1311 |
-
"learning_rate":
|
1312 |
-
"loss": 0.
|
1313 |
"step": 5250
|
1314 |
},
|
1315 |
{
|
1316 |
-
"epoch":
|
1317 |
-
"learning_rate":
|
1318 |
-
"loss": 0.
|
1319 |
"step": 5275
|
1320 |
},
|
1321 |
{
|
1322 |
-
"epoch":
|
1323 |
-
"learning_rate":
|
1324 |
-
"loss": 0.
|
1325 |
"step": 5300
|
1326 |
},
|
1327 |
{
|
1328 |
-
"epoch":
|
1329 |
-
"learning_rate":
|
1330 |
-
"loss": 0.
|
1331 |
"step": 5325
|
1332 |
},
|
1333 |
{
|
1334 |
-
"epoch":
|
1335 |
-
"learning_rate":
|
1336 |
-
"loss": 0.
|
1337 |
"step": 5350
|
1338 |
},
|
1339 |
{
|
1340 |
-
"epoch":
|
1341 |
-
"learning_rate":
|
1342 |
-
"loss": 0.
|
1343 |
"step": 5375
|
1344 |
},
|
1345 |
{
|
1346 |
-
"epoch":
|
1347 |
-
"learning_rate":
|
1348 |
-
"loss": 0.
|
1349 |
"step": 5400
|
1350 |
},
|
1351 |
{
|
1352 |
-
"epoch":
|
1353 |
-
"learning_rate":
|
1354 |
-
"loss": 0.
|
1355 |
"step": 5425
|
1356 |
},
|
1357 |
{
|
1358 |
-
"epoch":
|
1359 |
-
"learning_rate":
|
1360 |
-
"loss": 0.
|
1361 |
"step": 5450
|
1362 |
},
|
1363 |
{
|
1364 |
-
"epoch":
|
1365 |
-
"learning_rate":
|
1366 |
-
"loss": 0.
|
1367 |
"step": 5475
|
1368 |
},
|
1369 |
{
|
1370 |
-
"epoch":
|
1371 |
-
"learning_rate":
|
1372 |
-
"loss": 0.
|
1373 |
"step": 5500
|
1374 |
},
|
1375 |
{
|
1376 |
-
"epoch":
|
1377 |
-
"learning_rate":
|
1378 |
-
"loss": 0.
|
1379 |
"step": 5525
|
1380 |
},
|
1381 |
{
|
1382 |
-
"epoch":
|
1383 |
-
"learning_rate":
|
1384 |
-
"loss": 0.
|
1385 |
"step": 5550
|
1386 |
},
|
1387 |
{
|
1388 |
-
"epoch":
|
1389 |
-
"learning_rate":
|
1390 |
-
"loss": 0.
|
1391 |
"step": 5575
|
1392 |
},
|
1393 |
{
|
1394 |
-
"epoch":
|
1395 |
-
"learning_rate":
|
1396 |
-
"loss": 0.
|
1397 |
"step": 5600
|
1398 |
},
|
1399 |
{
|
1400 |
-
"epoch":
|
1401 |
-
"learning_rate":
|
1402 |
-
"loss": 0.
|
1403 |
"step": 5625
|
1404 |
},
|
1405 |
{
|
1406 |
-
"epoch":
|
1407 |
-
"learning_rate":
|
1408 |
-
"loss": 0.
|
1409 |
"step": 5650
|
1410 |
},
|
1411 |
{
|
1412 |
-
"epoch":
|
1413 |
-
"learning_rate":
|
1414 |
-
"loss": 0.
|
1415 |
"step": 5675
|
1416 |
},
|
1417 |
{
|
1418 |
-
"epoch":
|
1419 |
-
"learning_rate":
|
1420 |
-
"loss": 0.
|
1421 |
"step": 5700
|
1422 |
},
|
1423 |
{
|
1424 |
-
"epoch":
|
1425 |
-
"learning_rate":
|
1426 |
-
"loss": 0.
|
1427 |
"step": 5725
|
1428 |
},
|
1429 |
{
|
1430 |
-
"epoch":
|
1431 |
-
"learning_rate":
|
1432 |
-
"loss": 0.
|
1433 |
"step": 5750
|
1434 |
},
|
1435 |
{
|
1436 |
-
"epoch":
|
1437 |
-
"learning_rate":
|
1438 |
-
"loss": 0.
|
1439 |
"step": 5775
|
1440 |
},
|
1441 |
{
|
1442 |
-
"epoch":
|
1443 |
-
"learning_rate":
|
1444 |
-
"loss": 0.
|
1445 |
"step": 5800
|
1446 |
},
|
1447 |
{
|
1448 |
-
"epoch":
|
1449 |
-
"learning_rate":
|
1450 |
-
"loss": 0.
|
1451 |
"step": 5825
|
1452 |
},
|
1453 |
{
|
1454 |
-
"epoch":
|
1455 |
-
"learning_rate": 2.
|
1456 |
-
"loss": 0.
|
1457 |
"step": 5850
|
1458 |
},
|
1459 |
{
|
1460 |
-
"epoch":
|
1461 |
-
"learning_rate": 2.
|
1462 |
-
"loss": 0.
|
1463 |
"step": 5875
|
1464 |
},
|
1465 |
{
|
1466 |
-
"epoch":
|
1467 |
-
"learning_rate":
|
1468 |
-
"loss": 0.
|
1469 |
"step": 5900
|
1470 |
},
|
1471 |
{
|
1472 |
-
"epoch":
|
1473 |
-
"learning_rate":
|
1474 |
-
"loss": 0.
|
1475 |
"step": 5925
|
1476 |
},
|
1477 |
{
|
1478 |
-
"epoch":
|
1479 |
-
"learning_rate":
|
1480 |
-
"loss": 0.
|
1481 |
"step": 5950
|
1482 |
},
|
1483 |
{
|
1484 |
-
"epoch":
|
1485 |
-
"learning_rate":
|
1486 |
-
"loss": 0.
|
1487 |
"step": 5975
|
1488 |
},
|
1489 |
{
|
1490 |
-
"epoch":
|
1491 |
-
"learning_rate":
|
1492 |
-
"loss": 0.
|
1493 |
"step": 6000
|
1494 |
},
|
1495 |
{
|
1496 |
-
"epoch":
|
1497 |
-
"eval_loss": 0.
|
1498 |
-
"eval_runtime":
|
1499 |
-
"eval_samples_per_second": 0.
|
1500 |
"eval_steps_per_second": 0.289,
|
1501 |
-
"eval_wer": 27.
|
1502 |
"step": 6000
|
1503 |
},
|
1504 |
{
|
1505 |
-
"epoch":
|
1506 |
-
"
|
1507 |
-
"
|
1508 |
-
"
|
1509 |
-
|
1510 |
-
|
1511 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1512 |
}
|
1513 |
],
|
1514 |
-
"max_steps":
|
1515 |
"num_train_epochs": 9223372036854775807,
|
1516 |
-
"total_flos": 1.
|
1517 |
"trial_name": null,
|
1518 |
"trial_params": null
|
1519 |
}
|
|
|
1 |
{
|
2 |
+
"best_metric": 27.49828990734407,
|
3 |
+
"best_model_checkpoint": "/home/rcj2772/data_sets/Seneca/output_dir/checkpoint-7000",
|
4 |
+
"epoch": 25.00231719876416,
|
5 |
+
"global_step": 7768,
|
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": 4.2000000000000006e-07,
|
13 |
+
"loss": 4.3385,
|
14 |
"step": 25
|
15 |
},
|
16 |
{
|
17 |
"epoch": 0.01,
|
18 |
+
"learning_rate": 9.200000000000001e-07,
|
19 |
+
"loss": 3.4704,
|
20 |
"step": 50
|
21 |
},
|
22 |
{
|
23 |
"epoch": 0.01,
|
24 |
+
"learning_rate": 1.42e-06,
|
25 |
+
"loss": 2.4271,
|
26 |
"step": 75
|
27 |
},
|
28 |
{
|
29 |
+
"epoch": 0.01,
|
30 |
+
"learning_rate": 1.9200000000000003e-06,
|
31 |
+
"loss": 1.6065,
|
32 |
"step": 100
|
33 |
},
|
34 |
{
|
35 |
"epoch": 0.02,
|
36 |
+
"learning_rate": 2.42e-06,
|
37 |
+
"loss": 1.1884,
|
38 |
"step": 125
|
39 |
},
|
40 |
{
|
41 |
+
"epoch": 0.02,
|
42 |
+
"learning_rate": 2.92e-06,
|
43 |
+
"loss": 0.9446,
|
44 |
"step": 150
|
45 |
},
|
46 |
{
|
47 |
+
"epoch": 0.02,
|
48 |
+
"learning_rate": 3.4200000000000007e-06,
|
49 |
+
"loss": 0.7629,
|
50 |
"step": 175
|
51 |
},
|
52 |
{
|
53 |
"epoch": 0.03,
|
54 |
+
"learning_rate": 3.920000000000001e-06,
|
55 |
+
"loss": 0.7097,
|
56 |
"step": 200
|
57 |
},
|
58 |
{
|
59 |
+
"epoch": 0.03,
|
60 |
+
"learning_rate": 4.42e-06,
|
61 |
+
"loss": 0.6508,
|
62 |
"step": 225
|
63 |
},
|
64 |
{
|
65 |
+
"epoch": 0.03,
|
66 |
+
"learning_rate": 4.92e-06,
|
67 |
+
"loss": 0.5891,
|
68 |
"step": 250
|
69 |
},
|
70 |
{
|
71 |
+
"epoch": 0.04,
|
72 |
+
"learning_rate": 5.420000000000001e-06,
|
73 |
+
"loss": 0.5815,
|
74 |
"step": 275
|
75 |
},
|
76 |
{
|
77 |
+
"epoch": 0.04,
|
78 |
+
"learning_rate": 5.92e-06,
|
79 |
+
"loss": 0.5616,
|
80 |
"step": 300
|
81 |
},
|
82 |
{
|
83 |
+
"epoch": 1.0,
|
84 |
+
"learning_rate": 6.42e-06,
|
85 |
+
"loss": 0.455,
|
86 |
"step": 325
|
87 |
},
|
88 |
{
|
89 |
+
"epoch": 1.01,
|
90 |
+
"learning_rate": 6.92e-06,
|
91 |
+
"loss": 0.4164,
|
92 |
"step": 350
|
93 |
},
|
94 |
{
|
95 |
+
"epoch": 1.01,
|
96 |
+
"learning_rate": 7.420000000000001e-06,
|
97 |
+
"loss": 0.4369,
|
98 |
"step": 375
|
99 |
},
|
100 |
{
|
101 |
+
"epoch": 1.01,
|
102 |
+
"learning_rate": 7.92e-06,
|
103 |
+
"loss": 0.4078,
|
104 |
"step": 400
|
105 |
},
|
106 |
{
|
107 |
+
"epoch": 1.01,
|
108 |
+
"learning_rate": 8.42e-06,
|
109 |
+
"loss": 0.4149,
|
110 |
"step": 425
|
111 |
},
|
112 |
{
|
113 |
+
"epoch": 1.02,
|
114 |
+
"learning_rate": 8.920000000000001e-06,
|
115 |
+
"loss": 0.4046,
|
116 |
"step": 450
|
117 |
},
|
118 |
{
|
119 |
+
"epoch": 1.02,
|
120 |
+
"learning_rate": 9.42e-06,
|
121 |
+
"loss": 0.3988,
|
122 |
"step": 475
|
123 |
},
|
124 |
{
|
125 |
+
"epoch": 1.02,
|
126 |
+
"learning_rate": 9.920000000000002e-06,
|
127 |
+
"loss": 0.3853,
|
128 |
"step": 500
|
129 |
},
|
130 |
{
|
131 |
+
"epoch": 1.03,
|
132 |
+
"learning_rate": 9.971106219042378e-06,
|
133 |
+
"loss": 0.3684,
|
134 |
"step": 525
|
135 |
},
|
136 |
{
|
137 |
+
"epoch": 1.03,
|
138 |
+
"learning_rate": 9.936708860759493e-06,
|
139 |
+
"loss": 0.375,
|
140 |
"step": 550
|
141 |
},
|
142 |
{
|
143 |
+
"epoch": 1.03,
|
144 |
+
"learning_rate": 9.90231150247661e-06,
|
145 |
+
"loss": 0.3839,
|
146 |
"step": 575
|
147 |
},
|
148 |
{
|
149 |
+
"epoch": 1.04,
|
150 |
+
"learning_rate": 9.867914144193726e-06,
|
151 |
+
"loss": 0.3818,
|
152 |
"step": 600
|
153 |
},
|
154 |
{
|
155 |
+
"epoch": 2.0,
|
156 |
+
"learning_rate": 9.833516785910844e-06,
|
157 |
+
"loss": 0.3041,
|
158 |
"step": 625
|
159 |
},
|
160 |
{
|
161 |
+
"epoch": 2.0,
|
162 |
+
"learning_rate": 9.799119427627959e-06,
|
163 |
+
"loss": 0.2169,
|
164 |
"step": 650
|
165 |
},
|
166 |
{
|
167 |
+
"epoch": 2.01,
|
168 |
+
"learning_rate": 9.764722069345075e-06,
|
169 |
+
"loss": 0.2362,
|
170 |
"step": 675
|
171 |
},
|
172 |
{
|
173 |
+
"epoch": 2.01,
|
174 |
+
"learning_rate": 9.730324711062192e-06,
|
175 |
+
"loss": 0.2139,
|
176 |
"step": 700
|
177 |
},
|
178 |
{
|
179 |
+
"epoch": 2.01,
|
180 |
+
"learning_rate": 9.695927352779307e-06,
|
181 |
+
"loss": 0.2241,
|
182 |
"step": 725
|
183 |
},
|
184 |
{
|
185 |
+
"epoch": 2.02,
|
186 |
+
"learning_rate": 9.661529994496423e-06,
|
187 |
+
"loss": 0.2259,
|
188 |
"step": 750
|
189 |
},
|
190 |
{
|
191 |
+
"epoch": 2.02,
|
192 |
+
"learning_rate": 9.62713263621354e-06,
|
193 |
+
"loss": 0.2239,
|
194 |
"step": 775
|
195 |
},
|
196 |
{
|
197 |
+
"epoch": 2.02,
|
198 |
+
"learning_rate": 9.592735277930656e-06,
|
199 |
+
"loss": 0.2189,
|
200 |
"step": 800
|
201 |
},
|
202 |
{
|
203 |
+
"epoch": 2.03,
|
204 |
+
"learning_rate": 9.558337919647771e-06,
|
205 |
+
"loss": 0.2327,
|
206 |
"step": 825
|
207 |
},
|
208 |
{
|
209 |
+
"epoch": 2.03,
|
210 |
+
"learning_rate": 9.523940561364889e-06,
|
211 |
+
"loss": 0.2268,
|
212 |
"step": 850
|
213 |
},
|
214 |
{
|
215 |
+
"epoch": 2.03,
|
216 |
+
"learning_rate": 9.489543203082004e-06,
|
217 |
+
"loss": 0.259,
|
218 |
"step": 875
|
219 |
},
|
220 |
{
|
221 |
+
"epoch": 2.04,
|
222 |
+
"learning_rate": 9.45514584479912e-06,
|
223 |
+
"loss": 0.2077,
|
224 |
"step": 900
|
225 |
},
|
226 |
{
|
227 |
+
"epoch": 2.04,
|
228 |
+
"learning_rate": 9.420748486516237e-06,
|
229 |
+
"loss": 0.2208,
|
230 |
"step": 925
|
231 |
},
|
232 |
{
|
233 |
+
"epoch": 3.0,
|
234 |
+
"learning_rate": 9.386351128233353e-06,
|
235 |
+
"loss": 0.1276,
|
236 |
"step": 950
|
237 |
},
|
238 |
{
|
239 |
+
"epoch": 3.01,
|
240 |
+
"learning_rate": 9.351953769950468e-06,
|
241 |
+
"loss": 0.1161,
|
242 |
"step": 975
|
243 |
},
|
244 |
{
|
245 |
+
"epoch": 3.01,
|
246 |
+
"learning_rate": 9.317556411667584e-06,
|
247 |
+
"loss": 0.1151,
|
248 |
"step": 1000
|
249 |
},
|
250 |
{
|
251 |
+
"epoch": 3.01,
|
252 |
+
"eval_loss": 0.4013126492500305,
|
253 |
+
"eval_runtime": 2274.8036,
|
254 |
+
"eval_samples_per_second": 0.567,
|
255 |
+
"eval_steps_per_second": 0.284,
|
256 |
+
"eval_wer": 31.83259747528139,
|
257 |
"step": 1000
|
258 |
},
|
259 |
{
|
260 |
+
"epoch": 3.01,
|
261 |
+
"learning_rate": 9.283159053384701e-06,
|
262 |
+
"loss": 0.1103,
|
263 |
"step": 1025
|
264 |
},
|
265 |
{
|
266 |
+
"epoch": 3.02,
|
267 |
+
"learning_rate": 9.248761695101817e-06,
|
268 |
+
"loss": 0.1075,
|
269 |
"step": 1050
|
270 |
},
|
271 |
{
|
272 |
+
"epoch": 3.02,
|
273 |
+
"learning_rate": 9.214364336818932e-06,
|
274 |
+
"loss": 0.1121,
|
275 |
"step": 1075
|
276 |
},
|
277 |
{
|
278 |
+
"epoch": 3.02,
|
279 |
+
"learning_rate": 9.17996697853605e-06,
|
280 |
+
"loss": 0.1189,
|
281 |
"step": 1100
|
282 |
},
|
283 |
{
|
284 |
+
"epoch": 3.03,
|
285 |
+
"learning_rate": 9.145569620253165e-06,
|
286 |
+
"loss": 0.1147,
|
287 |
"step": 1125
|
288 |
},
|
289 |
{
|
290 |
+
"epoch": 3.03,
|
291 |
+
"learning_rate": 9.11117226197028e-06,
|
292 |
+
"loss": 0.126,
|
293 |
"step": 1150
|
294 |
},
|
295 |
{
|
296 |
+
"epoch": 3.03,
|
297 |
+
"learning_rate": 9.076774903687398e-06,
|
298 |
+
"loss": 0.1177,
|
299 |
"step": 1175
|
300 |
},
|
301 |
{
|
302 |
+
"epoch": 3.03,
|
303 |
+
"learning_rate": 9.042377545404513e-06,
|
304 |
+
"loss": 0.1294,
|
305 |
"step": 1200
|
306 |
},
|
307 |
{
|
308 |
+
"epoch": 3.04,
|
309 |
+
"learning_rate": 9.00798018712163e-06,
|
310 |
+
"loss": 0.1222,
|
311 |
"step": 1225
|
312 |
},
|
313 |
{
|
314 |
+
"epoch": 4.0,
|
315 |
+
"learning_rate": 8.973582828838746e-06,
|
316 |
+
"loss": 0.0985,
|
317 |
"step": 1250
|
318 |
},
|
319 |
{
|
320 |
+
"epoch": 4.0,
|
321 |
+
"learning_rate": 8.939185470555862e-06,
|
322 |
+
"loss": 0.0479,
|
323 |
"step": 1275
|
324 |
},
|
325 |
{
|
326 |
+
"epoch": 4.01,
|
327 |
+
"learning_rate": 8.90478811227298e-06,
|
328 |
+
"loss": 0.059,
|
329 |
"step": 1300
|
330 |
},
|
331 |
{
|
332 |
+
"epoch": 4.01,
|
333 |
+
"learning_rate": 8.870390753990095e-06,
|
334 |
+
"loss": 0.0533,
|
335 |
"step": 1325
|
336 |
},
|
337 |
{
|
338 |
+
"epoch": 4.01,
|
339 |
+
"learning_rate": 8.83599339570721e-06,
|
340 |
+
"loss": 0.0564,
|
341 |
"step": 1350
|
342 |
},
|
343 |
{
|
344 |
+
"epoch": 4.02,
|
345 |
+
"learning_rate": 8.801596037424328e-06,
|
346 |
+
"loss": 0.0574,
|
347 |
"step": 1375
|
348 |
},
|
349 |
{
|
350 |
+
"epoch": 4.02,
|
351 |
+
"learning_rate": 8.767198679141443e-06,
|
352 |
+
"loss": 0.0623,
|
353 |
"step": 1400
|
354 |
},
|
355 |
{
|
356 |
+
"epoch": 4.02,
|
357 |
+
"learning_rate": 8.732801320858559e-06,
|
358 |
+
"loss": 0.0628,
|
359 |
"step": 1425
|
360 |
},
|
361 |
{
|
362 |
+
"epoch": 4.03,
|
363 |
+
"learning_rate": 8.698403962575674e-06,
|
364 |
+
"loss": 0.0579,
|
365 |
"step": 1450
|
366 |
},
|
367 |
{
|
368 |
+
"epoch": 4.03,
|
369 |
+
"learning_rate": 8.66400660429279e-06,
|
370 |
+
"loss": 0.0579,
|
371 |
"step": 1475
|
372 |
},
|
373 |
{
|
374 |
+
"epoch": 4.03,
|
375 |
+
"learning_rate": 8.629609246009907e-06,
|
376 |
+
"loss": 0.0613,
|
377 |
"step": 1500
|
378 |
},
|
379 |
{
|
380 |
+
"epoch": 4.04,
|
381 |
+
"learning_rate": 8.595211887727023e-06,
|
382 |
+
"loss": 0.0675,
|
383 |
"step": 1525
|
384 |
},
|
385 |
{
|
386 |
+
"epoch": 4.04,
|
387 |
+
"learning_rate": 8.56081452944414e-06,
|
388 |
+
"loss": 0.0606,
|
389 |
"step": 1550
|
390 |
},
|
391 |
{
|
392 |
+
"epoch": 5.0,
|
393 |
+
"learning_rate": 8.526417171161256e-06,
|
394 |
+
"loss": 0.0299,
|
395 |
"step": 1575
|
396 |
},
|
397 |
{
|
398 |
+
"epoch": 5.01,
|
399 |
+
"learning_rate": 8.492019812878371e-06,
|
400 |
+
"loss": 0.0246,
|
401 |
"step": 1600
|
402 |
},
|
403 |
{
|
404 |
+
"epoch": 5.01,
|
405 |
+
"learning_rate": 8.457622454595488e-06,
|
406 |
+
"loss": 0.0287,
|
407 |
"step": 1625
|
408 |
},
|
409 |
{
|
410 |
+
"epoch": 5.01,
|
411 |
+
"learning_rate": 8.423225096312604e-06,
|
412 |
+
"loss": 0.0307,
|
413 |
"step": 1650
|
414 |
},
|
415 |
{
|
416 |
+
"epoch": 5.02,
|
417 |
+
"learning_rate": 8.38882773802972e-06,
|
418 |
+
"loss": 0.0326,
|
419 |
"step": 1675
|
420 |
},
|
421 |
{
|
422 |
+
"epoch": 5.02,
|
423 |
+
"learning_rate": 8.354430379746837e-06,
|
424 |
+
"loss": 0.0312,
|
425 |
"step": 1700
|
426 |
},
|
427 |
{
|
428 |
+
"epoch": 5.02,
|
429 |
+
"learning_rate": 8.320033021463952e-06,
|
430 |
+
"loss": 0.0326,
|
431 |
"step": 1725
|
432 |
},
|
433 |
{
|
434 |
+
"epoch": 5.03,
|
435 |
+
"learning_rate": 8.285635663181068e-06,
|
436 |
+
"loss": 0.0393,
|
437 |
"step": 1750
|
438 |
},
|
439 |
{
|
440 |
+
"epoch": 5.03,
|
441 |
+
"learning_rate": 8.251238304898185e-06,
|
442 |
+
"loss": 0.0381,
|
443 |
"step": 1775
|
444 |
},
|
445 |
{
|
446 |
+
"epoch": 5.03,
|
447 |
+
"learning_rate": 8.2168409466153e-06,
|
448 |
+
"loss": 0.0297,
|
449 |
"step": 1800
|
450 |
},
|
451 |
{
|
452 |
+
"epoch": 5.04,
|
453 |
+
"learning_rate": 8.182443588332416e-06,
|
454 |
+
"loss": 0.0327,
|
455 |
"step": 1825
|
456 |
},
|
457 |
{
|
458 |
+
"epoch": 5.04,
|
459 |
+
"learning_rate": 8.148046230049534e-06,
|
460 |
+
"loss": 0.0324,
|
461 |
"step": 1850
|
462 |
},
|
463 |
{
|
464 |
+
"epoch": 6.0,
|
465 |
+
"learning_rate": 8.11364887176665e-06,
|
466 |
+
"loss": 0.0233,
|
467 |
"step": 1875
|
468 |
},
|
469 |
{
|
470 |
+
"epoch": 6.01,
|
471 |
+
"learning_rate": 8.079251513483765e-06,
|
472 |
+
"loss": 0.0194,
|
473 |
"step": 1900
|
474 |
},
|
475 |
{
|
476 |
+
"epoch": 6.01,
|
477 |
+
"learning_rate": 8.04485415520088e-06,
|
478 |
+
"loss": 0.0206,
|
479 |
"step": 1925
|
480 |
},
|
481 |
{
|
482 |
+
"epoch": 6.01,
|
483 |
+
"learning_rate": 8.010456796917998e-06,
|
484 |
+
"loss": 0.0165,
|
485 |
"step": 1950
|
486 |
},
|
487 |
{
|
488 |
+
"epoch": 6.01,
|
489 |
+
"learning_rate": 7.976059438635113e-06,
|
490 |
+
"loss": 0.0217,
|
491 |
"step": 1975
|
492 |
},
|
493 |
{
|
494 |
+
"epoch": 6.02,
|
495 |
+
"learning_rate": 7.941662080352229e-06,
|
496 |
+
"loss": 0.0185,
|
497 |
"step": 2000
|
498 |
},
|
499 |
{
|
500 |
+
"epoch": 6.02,
|
501 |
+
"eval_loss": 0.47960373759269714,
|
502 |
+
"eval_runtime": 2219.3816,
|
503 |
+
"eval_samples_per_second": 0.581,
|
504 |
+
"eval_steps_per_second": 0.291,
|
505 |
+
"eval_wer": 30.16603445059387,
|
506 |
"step": 2000
|
507 |
},
|
508 |
{
|
509 |
+
"epoch": 6.02,
|
510 |
+
"learning_rate": 7.907264722069346e-06,
|
511 |
+
"loss": 0.0185,
|
512 |
"step": 2025
|
513 |
},
|
514 |
{
|
515 |
+
"epoch": 6.02,
|
516 |
+
"learning_rate": 7.872867363786462e-06,
|
517 |
+
"loss": 0.0158,
|
518 |
"step": 2050
|
519 |
},
|
520 |
{
|
521 |
+
"epoch": 6.03,
|
522 |
+
"learning_rate": 7.838470005503577e-06,
|
523 |
+
"loss": 0.0196,
|
524 |
"step": 2075
|
525 |
},
|
526 |
{
|
527 |
+
"epoch": 6.03,
|
528 |
+
"learning_rate": 7.804072647220694e-06,
|
529 |
+
"loss": 0.0224,
|
530 |
"step": 2100
|
531 |
},
|
532 |
{
|
533 |
+
"epoch": 6.03,
|
534 |
+
"learning_rate": 7.76967528893781e-06,
|
535 |
+
"loss": 0.0173,
|
536 |
"step": 2125
|
537 |
},
|
538 |
{
|
539 |
+
"epoch": 6.04,
|
540 |
+
"learning_rate": 7.735277930654927e-06,
|
541 |
+
"loss": 0.0208,
|
542 |
"step": 2150
|
543 |
},
|
544 |
{
|
545 |
+
"epoch": 7.0,
|
546 |
+
"learning_rate": 7.700880572372043e-06,
|
547 |
+
"loss": 0.018,
|
548 |
"step": 2175
|
549 |
},
|
550 |
{
|
551 |
+
"epoch": 7.0,
|
552 |
+
"learning_rate": 7.666483214089158e-06,
|
553 |
+
"loss": 0.0116,
|
554 |
"step": 2200
|
555 |
},
|
556 |
{
|
557 |
+
"epoch": 7.01,
|
558 |
+
"learning_rate": 7.632085855806276e-06,
|
559 |
+
"loss": 0.0141,
|
560 |
"step": 2225
|
561 |
},
|
562 |
{
|
563 |
+
"epoch": 7.01,
|
564 |
+
"learning_rate": 7.597688497523391e-06,
|
565 |
+
"loss": 0.013,
|
566 |
"step": 2250
|
567 |
},
|
568 |
{
|
569 |
+
"epoch": 7.01,
|
570 |
+
"learning_rate": 7.563291139240508e-06,
|
571 |
+
"loss": 0.0151,
|
572 |
"step": 2275
|
573 |
},
|
574 |
{
|
575 |
+
"epoch": 7.02,
|
576 |
+
"learning_rate": 7.528893780957623e-06,
|
577 |
+
"loss": 0.0129,
|
578 |
"step": 2300
|
579 |
},
|
580 |
{
|
581 |
+
"epoch": 7.02,
|
582 |
+
"learning_rate": 7.49449642267474e-06,
|
583 |
+
"loss": 0.0156,
|
584 |
"step": 2325
|
585 |
},
|
586 |
{
|
587 |
+
"epoch": 7.02,
|
588 |
+
"learning_rate": 7.460099064391856e-06,
|
589 |
+
"loss": 0.0122,
|
590 |
"step": 2350
|
591 |
},
|
592 |
{
|
593 |
+
"epoch": 7.03,
|
594 |
+
"learning_rate": 7.425701706108971e-06,
|
595 |
+
"loss": 0.0141,
|
596 |
"step": 2375
|
597 |
},
|
598 |
{
|
599 |
+
"epoch": 7.03,
|
600 |
+
"learning_rate": 7.391304347826087e-06,
|
601 |
+
"loss": 0.0164,
|
602 |
"step": 2400
|
603 |
},
|
604 |
{
|
605 |
+
"epoch": 7.03,
|
606 |
+
"learning_rate": 7.3569069895432036e-06,
|
607 |
+
"loss": 0.0134,
|
608 |
"step": 2425
|
609 |
},
|
610 |
{
|
611 |
+
"epoch": 7.04,
|
612 |
+
"learning_rate": 7.322509631260319e-06,
|
613 |
+
"loss": 0.0135,
|
614 |
"step": 2450
|
615 |
},
|
616 |
{
|
617 |
+
"epoch": 7.04,
|
618 |
+
"learning_rate": 7.2881122729774356e-06,
|
619 |
+
"loss": 0.0135,
|
620 |
"step": 2475
|
621 |
},
|
622 |
{
|
623 |
+
"epoch": 8.0,
|
624 |
+
"learning_rate": 7.253714914694552e-06,
|
625 |
+
"loss": 0.0082,
|
626 |
"step": 2500
|
627 |
},
|
628 |
{
|
629 |
+
"epoch": 8.01,
|
630 |
+
"learning_rate": 7.219317556411668e-06,
|
631 |
+
"loss": 0.0083,
|
632 |
"step": 2525
|
633 |
},
|
634 |
{
|
635 |
+
"epoch": 8.01,
|
636 |
+
"learning_rate": 7.184920198128784e-06,
|
637 |
+
"loss": 0.0096,
|
638 |
"step": 2550
|
639 |
},
|
640 |
{
|
641 |
+
"epoch": 8.01,
|
642 |
+
"learning_rate": 7.1505228398459e-06,
|
643 |
+
"loss": 0.0091,
|
644 |
"step": 2575
|
645 |
},
|
646 |
{
|
647 |
+
"epoch": 8.02,
|
648 |
+
"learning_rate": 7.116125481563017e-06,
|
649 |
+
"loss": 0.0136,
|
650 |
"step": 2600
|
651 |
},
|
652 |
{
|
653 |
+
"epoch": 8.02,
|
654 |
+
"learning_rate": 7.081728123280132e-06,
|
655 |
+
"loss": 0.0088,
|
656 |
"step": 2625
|
657 |
},
|
658 |
{
|
659 |
+
"epoch": 8.02,
|
660 |
+
"learning_rate": 7.047330764997249e-06,
|
661 |
+
"loss": 0.0121,
|
662 |
"step": 2650
|
663 |
},
|
664 |
{
|
665 |
+
"epoch": 8.03,
|
666 |
+
"learning_rate": 7.012933406714365e-06,
|
667 |
+
"loss": 0.0084,
|
668 |
"step": 2675
|
669 |
},
|
670 |
{
|
671 |
+
"epoch": 8.03,
|
672 |
+
"learning_rate": 6.978536048431482e-06,
|
673 |
+
"loss": 0.0072,
|
674 |
"step": 2700
|
675 |
},
|
676 |
{
|
677 |
+
"epoch": 8.03,
|
678 |
+
"learning_rate": 6.944138690148597e-06,
|
679 |
+
"loss": 0.0117,
|
680 |
"step": 2725
|
681 |
},
|
682 |
{
|
683 |
+
"epoch": 8.03,
|
684 |
+
"learning_rate": 6.909741331865714e-06,
|
685 |
+
"loss": 0.0062,
|
686 |
"step": 2750
|
687 |
},
|
688 |
{
|
689 |
+
"epoch": 8.04,
|
690 |
+
"learning_rate": 6.87534397358283e-06,
|
691 |
+
"loss": 0.0102,
|
692 |
"step": 2775
|
693 |
},
|
694 |
{
|
695 |
+
"epoch": 9.0,
|
696 |
+
"learning_rate": 6.840946615299946e-06,
|
697 |
+
"loss": 0.0088,
|
698 |
"step": 2800
|
699 |
},
|
700 |
{
|
701 |
+
"epoch": 9.0,
|
702 |
+
"learning_rate": 6.806549257017062e-06,
|
703 |
+
"loss": 0.0071,
|
704 |
"step": 2825
|
705 |
},
|
706 |
{
|
707 |
+
"epoch": 9.01,
|
708 |
+
"learning_rate": 6.772151898734178e-06,
|
709 |
+
"loss": 0.0063,
|
710 |
"step": 2850
|
711 |
},
|
712 |
{
|
713 |
+
"epoch": 9.01,
|
714 |
+
"learning_rate": 6.737754540451293e-06,
|
715 |
+
"loss": 0.0076,
|
716 |
"step": 2875
|
717 |
},
|
718 |
{
|
719 |
+
"epoch": 9.01,
|
720 |
+
"learning_rate": 6.70335718216841e-06,
|
721 |
+
"loss": 0.0094,
|
722 |
"step": 2900
|
723 |
},
|
724 |
{
|
725 |
+
"epoch": 9.02,
|
726 |
+
"learning_rate": 6.668959823885526e-06,
|
727 |
+
"loss": 0.0053,
|
728 |
"step": 2925
|
729 |
},
|
730 |
{
|
731 |
+
"epoch": 9.02,
|
732 |
+
"learning_rate": 6.6345624656026416e-06,
|
733 |
+
"loss": 0.0078,
|
734 |
"step": 2950
|
735 |
},
|
736 |
{
|
737 |
+
"epoch": 9.02,
|
738 |
+
"learning_rate": 6.600165107319758e-06,
|
739 |
+
"loss": 0.0078,
|
740 |
"step": 2975
|
741 |
},
|
742 |
{
|
743 |
+
"epoch": 9.03,
|
744 |
+
"learning_rate": 6.565767749036874e-06,
|
745 |
+
"loss": 0.0062,
|
746 |
"step": 3000
|
747 |
},
|
748 |
{
|
749 |
+
"epoch": 9.03,
|
750 |
+
"eval_loss": 0.5142830014228821,
|
751 |
+
"eval_runtime": 2235.4063,
|
752 |
+
"eval_samples_per_second": 0.577,
|
753 |
+
"eval_steps_per_second": 0.289,
|
754 |
+
"eval_wer": 30.041664075617184,
|
755 |
"step": 3000
|
756 |
},
|
757 |
{
|
758 |
+
"epoch": 9.03,
|
759 |
+
"learning_rate": 6.531370390753991e-06,
|
760 |
+
"loss": 0.0044,
|
761 |
"step": 3025
|
762 |
},
|
763 |
{
|
764 |
+
"epoch": 9.03,
|
765 |
+
"learning_rate": 6.496973032471106e-06,
|
766 |
+
"loss": 0.0084,
|
767 |
"step": 3050
|
768 |
},
|
769 |
{
|
770 |
+
"epoch": 9.04,
|
771 |
+
"learning_rate": 6.462575674188223e-06,
|
772 |
+
"loss": 0.0068,
|
773 |
"step": 3075
|
774 |
},
|
775 |
{
|
776 |
+
"epoch": 9.04,
|
777 |
+
"learning_rate": 6.428178315905339e-06,
|
778 |
+
"loss": 0.008,
|
779 |
"step": 3100
|
780 |
},
|
781 |
{
|
782 |
+
"epoch": 10.0,
|
783 |
+
"learning_rate": 6.393780957622455e-06,
|
784 |
+
"loss": 0.0047,
|
785 |
"step": 3125
|
786 |
},
|
787 |
{
|
788 |
+
"epoch": 10.01,
|
789 |
+
"learning_rate": 6.359383599339571e-06,
|
790 |
+
"loss": 0.0049,
|
791 |
"step": 3150
|
792 |
},
|
793 |
{
|
794 |
+
"epoch": 10.01,
|
795 |
+
"learning_rate": 6.324986241056688e-06,
|
796 |
+
"loss": 0.0048,
|
797 |
"step": 3175
|
798 |
},
|
799 |
{
|
800 |
+
"epoch": 10.01,
|
801 |
+
"learning_rate": 6.290588882773804e-06,
|
802 |
+
"loss": 0.0036,
|
803 |
"step": 3200
|
804 |
},
|
805 |
{
|
806 |
+
"epoch": 10.02,
|
807 |
+
"learning_rate": 6.25619152449092e-06,
|
808 |
+
"loss": 0.0045,
|
809 |
"step": 3225
|
810 |
},
|
811 |
{
|
812 |
+
"epoch": 10.02,
|
813 |
+
"learning_rate": 6.221794166208036e-06,
|
814 |
+
"loss": 0.006,
|
815 |
"step": 3250
|
816 |
},
|
817 |
{
|
818 |
+
"epoch": 10.02,
|
819 |
+
"learning_rate": 6.1873968079251525e-06,
|
820 |
+
"loss": 0.0045,
|
821 |
"step": 3275
|
822 |
},
|
823 |
{
|
824 |
+
"epoch": 10.03,
|
825 |
+
"learning_rate": 6.152999449642269e-06,
|
826 |
+
"loss": 0.0046,
|
827 |
"step": 3300
|
828 |
},
|
829 |
{
|
830 |
+
"epoch": 10.03,
|
831 |
+
"learning_rate": 6.1186020913593845e-06,
|
832 |
+
"loss": 0.0052,
|
833 |
"step": 3325
|
834 |
},
|
835 |
{
|
836 |
+
"epoch": 10.03,
|
837 |
+
"learning_rate": 6.0842047330765e-06,
|
838 |
+
"loss": 0.0036,
|
839 |
"step": 3350
|
840 |
},
|
841 |
{
|
842 |
+
"epoch": 10.04,
|
843 |
+
"learning_rate": 6.049807374793616e-06,
|
844 |
+
"loss": 0.0064,
|
845 |
"step": 3375
|
846 |
},
|
847 |
{
|
848 |
+
"epoch": 10.04,
|
849 |
+
"learning_rate": 6.015410016510732e-06,
|
850 |
+
"loss": 0.0062,
|
851 |
"step": 3400
|
852 |
},
|
853 |
{
|
854 |
+
"epoch": 11.0,
|
855 |
+
"learning_rate": 5.9810126582278484e-06,
|
856 |
+
"loss": 0.0058,
|
857 |
"step": 3425
|
858 |
},
|
859 |
{
|
860 |
+
"epoch": 11.01,
|
861 |
+
"learning_rate": 5.946615299944965e-06,
|
862 |
+
"loss": 0.0042,
|
863 |
"step": 3450
|
864 |
},
|
865 |
{
|
866 |
+
"epoch": 11.01,
|
867 |
+
"learning_rate": 5.9122179416620804e-06,
|
868 |
+
"loss": 0.0038,
|
869 |
"step": 3475
|
870 |
},
|
871 |
{
|
872 |
+
"epoch": 11.01,
|
873 |
+
"learning_rate": 5.877820583379197e-06,
|
874 |
+
"loss": 0.0036,
|
875 |
"step": 3500
|
876 |
},
|
877 |
{
|
878 |
+
"epoch": 11.01,
|
879 |
+
"learning_rate": 5.843423225096313e-06,
|
880 |
+
"loss": 0.0067,
|
881 |
"step": 3525
|
882 |
},
|
883 |
{
|
884 |
+
"epoch": 11.02,
|
885 |
+
"learning_rate": 5.809025866813429e-06,
|
886 |
+
"loss": 0.0063,
|
887 |
"step": 3550
|
888 |
},
|
889 |
{
|
890 |
+
"epoch": 11.02,
|
891 |
+
"learning_rate": 5.774628508530545e-06,
|
892 |
+
"loss": 0.0045,
|
893 |
"step": 3575
|
894 |
},
|
895 |
{
|
896 |
+
"epoch": 11.02,
|
897 |
+
"learning_rate": 5.740231150247662e-06,
|
898 |
+
"loss": 0.0032,
|
899 |
"step": 3600
|
900 |
},
|
901 |
{
|
902 |
+
"epoch": 11.03,
|
903 |
+
"learning_rate": 5.705833791964778e-06,
|
904 |
+
"loss": 0.0046,
|
905 |
"step": 3625
|
906 |
},
|
907 |
{
|
908 |
+
"epoch": 11.03,
|
909 |
+
"learning_rate": 5.671436433681894e-06,
|
910 |
+
"loss": 0.005,
|
911 |
"step": 3650
|
912 |
},
|
913 |
{
|
914 |
+
"epoch": 11.03,
|
915 |
+
"learning_rate": 5.63703907539901e-06,
|
916 |
+
"loss": 0.004,
|
917 |
"step": 3675
|
918 |
},
|
919 |
{
|
920 |
+
"epoch": 11.04,
|
921 |
+
"learning_rate": 5.6026417171161265e-06,
|
922 |
+
"loss": 0.0037,
|
923 |
"step": 3700
|
924 |
},
|
925 |
{
|
926 |
+
"epoch": 12.0,
|
927 |
+
"learning_rate": 5.568244358833242e-06,
|
928 |
+
"loss": 0.0024,
|
929 |
"step": 3725
|
930 |
},
|
931 |
{
|
932 |
+
"epoch": 12.0,
|
933 |
+
"learning_rate": 5.5338470005503585e-06,
|
934 |
+
"loss": 0.002,
|
935 |
"step": 3750
|
936 |
},
|
937 |
{
|
938 |
+
"epoch": 12.01,
|
939 |
+
"learning_rate": 5.499449642267475e-06,
|
940 |
+
"loss": 0.0014,
|
941 |
"step": 3775
|
942 |
},
|
943 |
{
|
944 |
+
"epoch": 12.01,
|
945 |
+
"learning_rate": 5.465052283984591e-06,
|
946 |
+
"loss": 0.0039,
|
947 |
"step": 3800
|
948 |
},
|
949 |
{
|
950 |
+
"epoch": 12.01,
|
951 |
+
"learning_rate": 5.430654925701706e-06,
|
952 |
+
"loss": 0.0025,
|
953 |
"step": 3825
|
954 |
},
|
955 |
{
|
956 |
+
"epoch": 12.02,
|
957 |
+
"learning_rate": 5.3962575674188225e-06,
|
958 |
+
"loss": 0.0026,
|
959 |
"step": 3850
|
960 |
},
|
961 |
{
|
962 |
+
"epoch": 12.02,
|
963 |
+
"learning_rate": 5.361860209135938e-06,
|
964 |
+
"loss": 0.0013,
|
965 |
"step": 3875
|
966 |
},
|
967 |
{
|
968 |
+
"epoch": 12.02,
|
969 |
+
"learning_rate": 5.3274628508530544e-06,
|
970 |
+
"loss": 0.0027,
|
971 |
"step": 3900
|
972 |
},
|
973 |
{
|
974 |
+
"epoch": 12.03,
|
975 |
+
"learning_rate": 5.293065492570171e-06,
|
976 |
+
"loss": 0.0022,
|
977 |
"step": 3925
|
978 |
},
|
979 |
{
|
980 |
+
"epoch": 12.03,
|
981 |
+
"learning_rate": 5.258668134287287e-06,
|
982 |
+
"loss": 0.0024,
|
983 |
"step": 3950
|
984 |
},
|
985 |
{
|
986 |
+
"epoch": 12.03,
|
987 |
+
"learning_rate": 5.224270776004403e-06,
|
988 |
+
"loss": 0.0034,
|
989 |
"step": 3975
|
990 |
},
|
991 |
{
|
992 |
+
"epoch": 12.04,
|
993 |
+
"learning_rate": 5.189873417721519e-06,
|
994 |
+
"loss": 0.0022,
|
995 |
"step": 4000
|
996 |
},
|
997 |
{
|
998 |
+
"epoch": 12.04,
|
999 |
+
"eval_loss": 0.5468949675559998,
|
1000 |
+
"eval_runtime": 2225.9485,
|
1001 |
+
"eval_samples_per_second": 0.579,
|
1002 |
+
"eval_steps_per_second": 0.29,
|
1003 |
+
"eval_wer": 28.630060319631863,
|
1004 |
"step": 4000
|
1005 |
},
|
1006 |
{
|
1007 |
+
"epoch": 12.04,
|
1008 |
+
"learning_rate": 5.155476059438636e-06,
|
1009 |
+
"loss": 0.0028,
|
1010 |
"step": 4025
|
1011 |
},
|
1012 |
{
|
1013 |
+
"epoch": 13.0,
|
1014 |
+
"learning_rate": 5.121078701155751e-06,
|
1015 |
+
"loss": 0.0019,
|
1016 |
"step": 4050
|
1017 |
},
|
1018 |
{
|
1019 |
+
"epoch": 13.01,
|
1020 |
+
"learning_rate": 5.086681342872868e-06,
|
1021 |
+
"loss": 0.0022,
|
1022 |
"step": 4075
|
1023 |
},
|
1024 |
{
|
1025 |
+
"epoch": 13.01,
|
1026 |
+
"learning_rate": 5.052283984589984e-06,
|
1027 |
+
"loss": 0.0015,
|
1028 |
"step": 4100
|
1029 |
},
|
1030 |
{
|
1031 |
+
"epoch": 13.01,
|
1032 |
+
"learning_rate": 5.0178866263071005e-06,
|
1033 |
+
"loss": 0.0015,
|
1034 |
"step": 4125
|
1035 |
},
|
1036 |
{
|
1037 |
+
"epoch": 13.02,
|
1038 |
+
"learning_rate": 4.983489268024216e-06,
|
1039 |
+
"loss": 0.0027,
|
1040 |
"step": 4150
|
1041 |
},
|
1042 |
{
|
1043 |
+
"epoch": 13.02,
|
1044 |
+
"learning_rate": 4.949091909741332e-06,
|
1045 |
+
"loss": 0.0024,
|
1046 |
"step": 4175
|
1047 |
},
|
1048 |
{
|
1049 |
+
"epoch": 13.02,
|
1050 |
+
"learning_rate": 4.914694551458448e-06,
|
1051 |
+
"loss": 0.0016,
|
1052 |
"step": 4200
|
1053 |
},
|
1054 |
{
|
1055 |
+
"epoch": 13.03,
|
1056 |
+
"learning_rate": 4.8802971931755645e-06,
|
1057 |
+
"loss": 0.0027,
|
1058 |
"step": 4225
|
1059 |
},
|
1060 |
{
|
1061 |
+
"epoch": 13.03,
|
1062 |
+
"learning_rate": 4.845899834892681e-06,
|
1063 |
+
"loss": 0.0023,
|
1064 |
"step": 4250
|
1065 |
},
|
1066 |
{
|
1067 |
+
"epoch": 13.03,
|
1068 |
+
"learning_rate": 4.8115024766097965e-06,
|
1069 |
+
"loss": 0.0023,
|
1070 |
"step": 4275
|
1071 |
},
|
1072 |
{
|
1073 |
+
"epoch": 13.03,
|
1074 |
+
"learning_rate": 4.777105118326913e-06,
|
1075 |
+
"loss": 0.0026,
|
1076 |
"step": 4300
|
1077 |
},
|
1078 |
{
|
1079 |
+
"epoch": 13.04,
|
1080 |
+
"learning_rate": 4.742707760044029e-06,
|
1081 |
+
"loss": 0.002,
|
1082 |
"step": 4325
|
1083 |
},
|
1084 |
{
|
1085 |
+
"epoch": 14.0,
|
1086 |
+
"learning_rate": 4.708310401761145e-06,
|
1087 |
+
"loss": 0.0009,
|
1088 |
"step": 4350
|
1089 |
},
|
1090 |
{
|
1091 |
+
"epoch": 14.0,
|
1092 |
+
"learning_rate": 4.673913043478261e-06,
|
1093 |
+
"loss": 0.0034,
|
1094 |
"step": 4375
|
1095 |
},
|
1096 |
{
|
1097 |
+
"epoch": 14.01,
|
1098 |
+
"learning_rate": 4.639515685195378e-06,
|
1099 |
+
"loss": 0.0012,
|
1100 |
"step": 4400
|
1101 |
},
|
1102 |
{
|
1103 |
+
"epoch": 14.01,
|
1104 |
+
"learning_rate": 4.605118326912493e-06,
|
1105 |
+
"loss": 0.002,
|
1106 |
"step": 4425
|
1107 |
},
|
1108 |
{
|
1109 |
+
"epoch": 14.01,
|
1110 |
+
"learning_rate": 4.57072096862961e-06,
|
1111 |
+
"loss": 0.0007,
|
1112 |
"step": 4450
|
1113 |
},
|
1114 |
{
|
1115 |
+
"epoch": 14.02,
|
1116 |
+
"learning_rate": 4.536323610346725e-06,
|
1117 |
+
"loss": 0.0015,
|
1118 |
"step": 4475
|
1119 |
},
|
1120 |
{
|
1121 |
+
"epoch": 14.02,
|
1122 |
+
"learning_rate": 4.501926252063842e-06,
|
1123 |
+
"loss": 0.0008,
|
1124 |
"step": 4500
|
1125 |
},
|
1126 |
{
|
1127 |
+
"epoch": 14.02,
|
1128 |
+
"learning_rate": 4.467528893780958e-06,
|
1129 |
+
"loss": 0.0019,
|
1130 |
"step": 4525
|
1131 |
},
|
1132 |
{
|
1133 |
+
"epoch": 14.03,
|
1134 |
+
"learning_rate": 4.4331315354980745e-06,
|
1135 |
+
"loss": 0.0013,
|
1136 |
"step": 4550
|
1137 |
},
|
1138 |
{
|
1139 |
+
"epoch": 14.03,
|
1140 |
+
"learning_rate": 4.39873417721519e-06,
|
1141 |
+
"loss": 0.0017,
|
1142 |
"step": 4575
|
1143 |
},
|
1144 |
{
|
1145 |
+
"epoch": 14.03,
|
1146 |
+
"learning_rate": 4.3643368189323065e-06,
|
1147 |
+
"loss": 0.0031,
|
1148 |
"step": 4600
|
1149 |
},
|
1150 |
{
|
1151 |
+
"epoch": 14.04,
|
1152 |
+
"learning_rate": 4.329939460649423e-06,
|
1153 |
+
"loss": 0.0014,
|
1154 |
"step": 4625
|
1155 |
},
|
1156 |
{
|
1157 |
+
"epoch": 14.04,
|
1158 |
+
"learning_rate": 4.2955421023665385e-06,
|
1159 |
+
"loss": 0.001,
|
1160 |
"step": 4650
|
1161 |
},
|
1162 |
{
|
1163 |
+
"epoch": 15.0,
|
1164 |
+
"learning_rate": 4.261144744083655e-06,
|
1165 |
+
"loss": 0.0006,
|
1166 |
"step": 4675
|
1167 |
},
|
1168 |
{
|
1169 |
+
"epoch": 15.01,
|
1170 |
+
"learning_rate": 4.2267473858007705e-06,
|
1171 |
+
"loss": 0.0004,
|
1172 |
"step": 4700
|
1173 |
},
|
1174 |
{
|
1175 |
+
"epoch": 15.01,
|
1176 |
+
"learning_rate": 4.192350027517887e-06,
|
1177 |
+
"loss": 0.0014,
|
1178 |
"step": 4725
|
1179 |
},
|
1180 |
{
|
1181 |
+
"epoch": 15.01,
|
1182 |
+
"learning_rate": 4.157952669235003e-06,
|
1183 |
+
"loss": 0.0009,
|
1184 |
"step": 4750
|
1185 |
},
|
1186 |
{
|
1187 |
+
"epoch": 15.02,
|
1188 |
+
"learning_rate": 4.123555310952119e-06,
|
1189 |
+
"loss": 0.0006,
|
1190 |
"step": 4775
|
1191 |
},
|
1192 |
{
|
1193 |
+
"epoch": 15.02,
|
1194 |
+
"learning_rate": 4.089157952669235e-06,
|
1195 |
+
"loss": 0.001,
|
1196 |
"step": 4800
|
1197 |
},
|
1198 |
{
|
1199 |
+
"epoch": 15.02,
|
1200 |
+
"learning_rate": 4.054760594386352e-06,
|
1201 |
+
"loss": 0.0005,
|
1202 |
"step": 4825
|
1203 |
},
|
1204 |
{
|
1205 |
+
"epoch": 15.03,
|
1206 |
+
"learning_rate": 4.020363236103468e-06,
|
1207 |
+
"loss": 0.0005,
|
1208 |
"step": 4850
|
1209 |
},
|
1210 |
{
|
1211 |
+
"epoch": 15.03,
|
1212 |
+
"learning_rate": 3.985965877820584e-06,
|
1213 |
+
"loss": 0.0014,
|
1214 |
"step": 4875
|
1215 |
},
|
1216 |
{
|
1217 |
+
"epoch": 15.03,
|
1218 |
+
"learning_rate": 3.951568519537699e-06,
|
1219 |
+
"loss": 0.0004,
|
1220 |
"step": 4900
|
1221 |
},
|
1222 |
{
|
1223 |
+
"epoch": 15.04,
|
1224 |
+
"learning_rate": 3.917171161254816e-06,
|
1225 |
+
"loss": 0.0005,
|
1226 |
"step": 4925
|
1227 |
},
|
1228 |
{
|
1229 |
+
"epoch": 15.04,
|
1230 |
+
"learning_rate": 3.882773802971932e-06,
|
1231 |
+
"loss": 0.0007,
|
1232 |
"step": 4950
|
1233 |
},
|
1234 |
{
|
1235 |
+
"epoch": 16.0,
|
1236 |
+
"learning_rate": 3.8483764446890486e-06,
|
1237 |
+
"loss": 0.0005,
|
1238 |
"step": 4975
|
1239 |
},
|
1240 |
{
|
1241 |
+
"epoch": 16.01,
|
1242 |
+
"learning_rate": 3.813979086406164e-06,
|
1243 |
+
"loss": 0.0004,
|
1244 |
"step": 5000
|
1245 |
},
|
1246 |
{
|
1247 |
+
"epoch": 16.01,
|
1248 |
+
"eval_loss": 0.569535493850708,
|
1249 |
+
"eval_runtime": 2212.0775,
|
1250 |
"eval_samples_per_second": 0.583,
|
1251 |
"eval_steps_per_second": 0.292,
|
1252 |
+
"eval_wer": 27.952241776008957,
|
1253 |
"step": 5000
|
1254 |
},
|
1255 |
{
|
1256 |
+
"epoch": 16.01,
|
1257 |
+
"learning_rate": 3.7795817281232806e-06,
|
1258 |
+
"loss": 0.0006,
|
1259 |
"step": 5025
|
1260 |
},
|
1261 |
{
|
1262 |
+
"epoch": 16.01,
|
1263 |
+
"learning_rate": 3.7451843698403965e-06,
|
1264 |
+
"loss": 0.0012,
|
1265 |
"step": 5050
|
1266 |
},
|
1267 |
{
|
1268 |
+
"epoch": 16.01,
|
1269 |
+
"learning_rate": 3.710787011557513e-06,
|
1270 |
+
"loss": 0.0005,
|
1271 |
"step": 5075
|
1272 |
},
|
1273 |
{
|
1274 |
+
"epoch": 16.02,
|
1275 |
+
"learning_rate": 3.676389653274629e-06,
|
1276 |
+
"loss": 0.0004,
|
1277 |
"step": 5100
|
1278 |
},
|
1279 |
{
|
1280 |
+
"epoch": 16.02,
|
1281 |
+
"learning_rate": 3.6419922949917445e-06,
|
1282 |
+
"loss": 0.0007,
|
1283 |
"step": 5125
|
1284 |
},
|
1285 |
{
|
1286 |
+
"epoch": 16.02,
|
1287 |
+
"learning_rate": 3.607594936708861e-06,
|
1288 |
+
"loss": 0.0007,
|
1289 |
"step": 5150
|
1290 |
},
|
1291 |
{
|
1292 |
+
"epoch": 16.03,
|
1293 |
+
"learning_rate": 3.573197578425977e-06,
|
1294 |
+
"loss": 0.0004,
|
1295 |
"step": 5175
|
1296 |
},
|
1297 |
{
|
1298 |
+
"epoch": 16.03,
|
1299 |
+
"learning_rate": 3.5388002201430934e-06,
|
1300 |
+
"loss": 0.0003,
|
1301 |
"step": 5200
|
1302 |
},
|
1303 |
{
|
1304 |
+
"epoch": 16.03,
|
1305 |
+
"learning_rate": 3.5044028618602094e-06,
|
1306 |
+
"loss": 0.0004,
|
1307 |
"step": 5225
|
1308 |
},
|
1309 |
{
|
1310 |
+
"epoch": 16.04,
|
1311 |
+
"learning_rate": 3.4700055035773258e-06,
|
1312 |
+
"loss": 0.0004,
|
1313 |
"step": 5250
|
1314 |
},
|
1315 |
{
|
1316 |
+
"epoch": 17.0,
|
1317 |
+
"learning_rate": 3.4356081452944418e-06,
|
1318 |
+
"loss": 0.0002,
|
1319 |
"step": 5275
|
1320 |
},
|
1321 |
{
|
1322 |
+
"epoch": 17.0,
|
1323 |
+
"learning_rate": 3.4012107870115578e-06,
|
1324 |
+
"loss": 0.0002,
|
1325 |
"step": 5300
|
1326 |
},
|
1327 |
{
|
1328 |
+
"epoch": 17.01,
|
1329 |
+
"learning_rate": 3.366813428728674e-06,
|
1330 |
+
"loss": 0.0002,
|
1331 |
"step": 5325
|
1332 |
},
|
1333 |
{
|
1334 |
+
"epoch": 17.01,
|
1335 |
+
"learning_rate": 3.33241607044579e-06,
|
1336 |
+
"loss": 0.0001,
|
1337 |
"step": 5350
|
1338 |
},
|
1339 |
{
|
1340 |
+
"epoch": 17.01,
|
1341 |
+
"learning_rate": 3.2980187121629057e-06,
|
1342 |
+
"loss": 0.0001,
|
1343 |
"step": 5375
|
1344 |
},
|
1345 |
{
|
1346 |
+
"epoch": 17.02,
|
1347 |
+
"learning_rate": 3.263621353880022e-06,
|
1348 |
+
"loss": 0.0002,
|
1349 |
"step": 5400
|
1350 |
},
|
1351 |
{
|
1352 |
+
"epoch": 17.02,
|
1353 |
+
"learning_rate": 3.229223995597138e-06,
|
1354 |
+
"loss": 0.0001,
|
1355 |
"step": 5425
|
1356 |
},
|
1357 |
{
|
1358 |
+
"epoch": 17.02,
|
1359 |
+
"learning_rate": 3.1948266373142546e-06,
|
1360 |
+
"loss": 0.0004,
|
1361 |
"step": 5450
|
1362 |
},
|
1363 |
{
|
1364 |
+
"epoch": 17.03,
|
1365 |
+
"learning_rate": 3.1604292790313706e-06,
|
1366 |
+
"loss": 0.0002,
|
1367 |
"step": 5475
|
1368 |
},
|
1369 |
{
|
1370 |
+
"epoch": 17.03,
|
1371 |
+
"learning_rate": 3.126031920748487e-06,
|
1372 |
+
"loss": 0.0002,
|
1373 |
"step": 5500
|
1374 |
},
|
1375 |
{
|
1376 |
+
"epoch": 17.03,
|
1377 |
+
"learning_rate": 3.091634562465603e-06,
|
1378 |
+
"loss": 0.0002,
|
1379 |
"step": 5525
|
1380 |
},
|
1381 |
{
|
1382 |
+
"epoch": 17.04,
|
1383 |
+
"learning_rate": 3.057237204182719e-06,
|
1384 |
+
"loss": 0.0017,
|
1385 |
"step": 5550
|
1386 |
},
|
1387 |
{
|
1388 |
+
"epoch": 17.04,
|
1389 |
+
"learning_rate": 3.0228398458998354e-06,
|
1390 |
+
"loss": 0.0002,
|
1391 |
"step": 5575
|
1392 |
},
|
1393 |
{
|
1394 |
+
"epoch": 18.0,
|
1395 |
+
"learning_rate": 2.988442487616951e-06,
|
1396 |
+
"loss": 0.0004,
|
1397 |
"step": 5600
|
1398 |
},
|
1399 |
{
|
1400 |
+
"epoch": 18.01,
|
1401 |
+
"learning_rate": 2.9540451293340674e-06,
|
1402 |
+
"loss": 0.0001,
|
1403 |
"step": 5625
|
1404 |
},
|
1405 |
{
|
1406 |
+
"epoch": 18.01,
|
1407 |
+
"learning_rate": 2.9196477710511834e-06,
|
1408 |
+
"loss": 0.0002,
|
1409 |
"step": 5650
|
1410 |
},
|
1411 |
{
|
1412 |
+
"epoch": 18.01,
|
1413 |
+
"learning_rate": 2.8852504127682994e-06,
|
1414 |
+
"loss": 0.0001,
|
1415 |
"step": 5675
|
1416 |
},
|
1417 |
{
|
1418 |
+
"epoch": 18.02,
|
1419 |
+
"learning_rate": 2.850853054485416e-06,
|
1420 |
+
"loss": 0.0001,
|
1421 |
"step": 5700
|
1422 |
},
|
1423 |
{
|
1424 |
+
"epoch": 18.02,
|
1425 |
+
"learning_rate": 2.8164556962025318e-06,
|
1426 |
+
"loss": 0.0002,
|
1427 |
"step": 5725
|
1428 |
},
|
1429 |
{
|
1430 |
+
"epoch": 18.02,
|
1431 |
+
"learning_rate": 2.782058337919648e-06,
|
1432 |
+
"loss": 0.0003,
|
1433 |
"step": 5750
|
1434 |
},
|
1435 |
{
|
1436 |
+
"epoch": 18.03,
|
1437 |
+
"learning_rate": 2.747660979636764e-06,
|
1438 |
+
"loss": 0.0001,
|
1439 |
"step": 5775
|
1440 |
},
|
1441 |
{
|
1442 |
+
"epoch": 18.03,
|
1443 |
+
"learning_rate": 2.7132636213538806e-06,
|
1444 |
+
"loss": 0.0001,
|
1445 |
"step": 5800
|
1446 |
},
|
1447 |
{
|
1448 |
+
"epoch": 18.03,
|
1449 |
+
"learning_rate": 2.6788662630709966e-06,
|
1450 |
+
"loss": 0.0001,
|
1451 |
"step": 5825
|
1452 |
},
|
1453 |
{
|
1454 |
+
"epoch": 18.03,
|
1455 |
+
"learning_rate": 2.644468904788112e-06,
|
1456 |
+
"loss": 0.0001,
|
1457 |
"step": 5850
|
1458 |
},
|
1459 |
{
|
1460 |
+
"epoch": 18.04,
|
1461 |
+
"learning_rate": 2.6100715465052286e-06,
|
1462 |
+
"loss": 0.0001,
|
1463 |
"step": 5875
|
1464 |
},
|
1465 |
{
|
1466 |
+
"epoch": 19.0,
|
1467 |
+
"learning_rate": 2.5756741882223446e-06,
|
1468 |
+
"loss": 0.0001,
|
1469 |
"step": 5900
|
1470 |
},
|
1471 |
{
|
1472 |
+
"epoch": 19.0,
|
1473 |
+
"learning_rate": 2.5412768299394606e-06,
|
1474 |
+
"loss": 0.0005,
|
1475 |
"step": 5925
|
1476 |
},
|
1477 |
{
|
1478 |
+
"epoch": 19.01,
|
1479 |
+
"learning_rate": 2.506879471656577e-06,
|
1480 |
+
"loss": 0.0002,
|
1481 |
"step": 5950
|
1482 |
},
|
1483 |
{
|
1484 |
+
"epoch": 19.01,
|
1485 |
+
"learning_rate": 2.472482113373693e-06,
|
1486 |
+
"loss": 0.0001,
|
1487 |
"step": 5975
|
1488 |
},
|
1489 |
{
|
1490 |
+
"epoch": 19.01,
|
1491 |
+
"learning_rate": 2.4380847550908094e-06,
|
1492 |
+
"loss": 0.0001,
|
1493 |
"step": 6000
|
1494 |
},
|
1495 |
{
|
1496 |
+
"epoch": 19.01,
|
1497 |
+
"eval_loss": 0.5891119837760925,
|
1498 |
+
"eval_runtime": 2229.5631,
|
1499 |
+
"eval_samples_per_second": 0.578,
|
1500 |
"eval_steps_per_second": 0.289,
|
1501 |
+
"eval_wer": 27.52938250108824,
|
1502 |
"step": 6000
|
1503 |
},
|
1504 |
{
|
1505 |
+
"epoch": 19.02,
|
1506 |
+
"learning_rate": 2.4036873968079254e-06,
|
1507 |
+
"loss": 0.0001,
|
1508 |
+
"step": 6025
|
1509 |
+
},
|
1510 |
+
{
|
1511 |
+
"epoch": 19.02,
|
1512 |
+
"learning_rate": 2.3692900385250414e-06,
|
1513 |
+
"loss": 0.0001,
|
1514 |
+
"step": 6050
|
1515 |
+
},
|
1516 |
+
{
|
1517 |
+
"epoch": 19.02,
|
1518 |
+
"learning_rate": 2.3348926802421574e-06,
|
1519 |
+
"loss": 0.0001,
|
1520 |
+
"step": 6075
|
1521 |
+
},
|
1522 |
+
{
|
1523 |
+
"epoch": 19.03,
|
1524 |
+
"learning_rate": 2.300495321959274e-06,
|
1525 |
+
"loss": 0.0003,
|
1526 |
+
"step": 6100
|
1527 |
+
},
|
1528 |
+
{
|
1529 |
+
"epoch": 19.03,
|
1530 |
+
"learning_rate": 2.26609796367639e-06,
|
1531 |
+
"loss": 0.0001,
|
1532 |
+
"step": 6125
|
1533 |
+
},
|
1534 |
+
{
|
1535 |
+
"epoch": 19.03,
|
1536 |
+
"learning_rate": 2.231700605393506e-06,
|
1537 |
+
"loss": 0.0001,
|
1538 |
+
"step": 6150
|
1539 |
+
},
|
1540 |
+
{
|
1541 |
+
"epoch": 19.04,
|
1542 |
+
"learning_rate": 2.1973032471106222e-06,
|
1543 |
+
"loss": 0.0001,
|
1544 |
+
"step": 6175
|
1545 |
+
},
|
1546 |
+
{
|
1547 |
+
"epoch": 19.04,
|
1548 |
+
"learning_rate": 2.1629058888277382e-06,
|
1549 |
+
"loss": 0.0001,
|
1550 |
+
"step": 6200
|
1551 |
+
},
|
1552 |
+
{
|
1553 |
+
"epoch": 20.0,
|
1554 |
+
"learning_rate": 2.1285085305448542e-06,
|
1555 |
+
"loss": 0.0001,
|
1556 |
+
"step": 6225
|
1557 |
+
},
|
1558 |
+
{
|
1559 |
+
"epoch": 20.01,
|
1560 |
+
"learning_rate": 2.0941111722619706e-06,
|
1561 |
+
"loss": 0.0004,
|
1562 |
+
"step": 6250
|
1563 |
+
},
|
1564 |
+
{
|
1565 |
+
"epoch": 20.01,
|
1566 |
+
"learning_rate": 2.0597138139790866e-06,
|
1567 |
+
"loss": 0.0001,
|
1568 |
+
"step": 6275
|
1569 |
+
},
|
1570 |
+
{
|
1571 |
+
"epoch": 20.01,
|
1572 |
+
"learning_rate": 2.0253164556962026e-06,
|
1573 |
+
"loss": 0.0001,
|
1574 |
+
"step": 6300
|
1575 |
+
},
|
1576 |
+
{
|
1577 |
+
"epoch": 20.02,
|
1578 |
+
"learning_rate": 1.990919097413319e-06,
|
1579 |
+
"loss": 0.0001,
|
1580 |
+
"step": 6325
|
1581 |
+
},
|
1582 |
+
{
|
1583 |
+
"epoch": 20.02,
|
1584 |
+
"learning_rate": 1.956521739130435e-06,
|
1585 |
+
"loss": 0.0001,
|
1586 |
+
"step": 6350
|
1587 |
+
},
|
1588 |
+
{
|
1589 |
+
"epoch": 20.02,
|
1590 |
+
"learning_rate": 1.922124380847551e-06,
|
1591 |
+
"loss": 0.0001,
|
1592 |
+
"step": 6375
|
1593 |
+
},
|
1594 |
+
{
|
1595 |
+
"epoch": 20.03,
|
1596 |
+
"learning_rate": 1.887727022564667e-06,
|
1597 |
+
"loss": 0.0001,
|
1598 |
+
"step": 6400
|
1599 |
+
},
|
1600 |
+
{
|
1601 |
+
"epoch": 20.03,
|
1602 |
+
"learning_rate": 1.8533296642817832e-06,
|
1603 |
+
"loss": 0.0001,
|
1604 |
+
"step": 6425
|
1605 |
+
},
|
1606 |
+
{
|
1607 |
+
"epoch": 20.03,
|
1608 |
+
"learning_rate": 1.8189323059988994e-06,
|
1609 |
+
"loss": 0.0001,
|
1610 |
+
"step": 6450
|
1611 |
+
},
|
1612 |
+
{
|
1613 |
+
"epoch": 20.04,
|
1614 |
+
"learning_rate": 1.7845349477160156e-06,
|
1615 |
+
"loss": 0.0001,
|
1616 |
+
"step": 6475
|
1617 |
+
},
|
1618 |
+
{
|
1619 |
+
"epoch": 20.04,
|
1620 |
+
"learning_rate": 1.7501375894331316e-06,
|
1621 |
+
"loss": 0.0003,
|
1622 |
+
"step": 6500
|
1623 |
+
},
|
1624 |
+
{
|
1625 |
+
"epoch": 21.0,
|
1626 |
+
"learning_rate": 1.7157402311502476e-06,
|
1627 |
+
"loss": 0.0001,
|
1628 |
+
"step": 6525
|
1629 |
+
},
|
1630 |
+
{
|
1631 |
+
"epoch": 21.01,
|
1632 |
+
"learning_rate": 1.6813428728673638e-06,
|
1633 |
+
"loss": 0.0001,
|
1634 |
+
"step": 6550
|
1635 |
+
},
|
1636 |
+
{
|
1637 |
+
"epoch": 21.01,
|
1638 |
+
"learning_rate": 1.64694551458448e-06,
|
1639 |
+
"loss": 0.0001,
|
1640 |
+
"step": 6575
|
1641 |
+
},
|
1642 |
+
{
|
1643 |
+
"epoch": 21.01,
|
1644 |
+
"learning_rate": 1.6125481563015962e-06,
|
1645 |
+
"loss": 0.0001,
|
1646 |
+
"step": 6600
|
1647 |
+
},
|
1648 |
+
{
|
1649 |
+
"epoch": 21.01,
|
1650 |
+
"learning_rate": 1.5781507980187122e-06,
|
1651 |
+
"loss": 0.0001,
|
1652 |
+
"step": 6625
|
1653 |
+
},
|
1654 |
+
{
|
1655 |
+
"epoch": 21.02,
|
1656 |
+
"learning_rate": 1.5437534397358285e-06,
|
1657 |
+
"loss": 0.0001,
|
1658 |
+
"step": 6650
|
1659 |
+
},
|
1660 |
+
{
|
1661 |
+
"epoch": 21.02,
|
1662 |
+
"learning_rate": 1.5093560814529444e-06,
|
1663 |
+
"loss": 0.0001,
|
1664 |
+
"step": 6675
|
1665 |
+
},
|
1666 |
+
{
|
1667 |
+
"epoch": 21.02,
|
1668 |
+
"learning_rate": 1.4749587231700607e-06,
|
1669 |
+
"loss": 0.0005,
|
1670 |
+
"step": 6700
|
1671 |
+
},
|
1672 |
+
{
|
1673 |
+
"epoch": 21.03,
|
1674 |
+
"learning_rate": 1.4405613648871769e-06,
|
1675 |
+
"loss": 0.0001,
|
1676 |
+
"step": 6725
|
1677 |
+
},
|
1678 |
+
{
|
1679 |
+
"epoch": 21.03,
|
1680 |
+
"learning_rate": 1.4061640066042929e-06,
|
1681 |
+
"loss": 0.0003,
|
1682 |
+
"step": 6750
|
1683 |
+
},
|
1684 |
+
{
|
1685 |
+
"epoch": 21.03,
|
1686 |
+
"learning_rate": 1.371766648321409e-06,
|
1687 |
+
"loss": 0.0001,
|
1688 |
+
"step": 6775
|
1689 |
+
},
|
1690 |
+
{
|
1691 |
+
"epoch": 21.04,
|
1692 |
+
"learning_rate": 1.3373692900385253e-06,
|
1693 |
+
"loss": 0.0001,
|
1694 |
+
"step": 6800
|
1695 |
+
},
|
1696 |
+
{
|
1697 |
+
"epoch": 22.0,
|
1698 |
+
"learning_rate": 1.3029719317556413e-06,
|
1699 |
+
"loss": 0.0001,
|
1700 |
+
"step": 6825
|
1701 |
+
},
|
1702 |
+
{
|
1703 |
+
"epoch": 22.0,
|
1704 |
+
"learning_rate": 1.2685745734727575e-06,
|
1705 |
+
"loss": 0.0001,
|
1706 |
+
"step": 6850
|
1707 |
+
},
|
1708 |
+
{
|
1709 |
+
"epoch": 22.01,
|
1710 |
+
"learning_rate": 1.2341772151898737e-06,
|
1711 |
+
"loss": 0.0001,
|
1712 |
+
"step": 6875
|
1713 |
+
},
|
1714 |
+
{
|
1715 |
+
"epoch": 22.01,
|
1716 |
+
"learning_rate": 1.1997798569069897e-06,
|
1717 |
+
"loss": 0.0001,
|
1718 |
+
"step": 6900
|
1719 |
+
},
|
1720 |
+
{
|
1721 |
+
"epoch": 22.01,
|
1722 |
+
"learning_rate": 1.1653824986241059e-06,
|
1723 |
+
"loss": 0.0001,
|
1724 |
+
"step": 6925
|
1725 |
+
},
|
1726 |
+
{
|
1727 |
+
"epoch": 22.02,
|
1728 |
+
"learning_rate": 1.1309851403412219e-06,
|
1729 |
+
"loss": 0.0002,
|
1730 |
+
"step": 6950
|
1731 |
+
},
|
1732 |
+
{
|
1733 |
+
"epoch": 22.02,
|
1734 |
+
"learning_rate": 1.096587782058338e-06,
|
1735 |
+
"loss": 0.0001,
|
1736 |
+
"step": 6975
|
1737 |
+
},
|
1738 |
+
{
|
1739 |
+
"epoch": 22.02,
|
1740 |
+
"learning_rate": 1.0621904237754543e-06,
|
1741 |
+
"loss": 0.0002,
|
1742 |
+
"step": 7000
|
1743 |
+
},
|
1744 |
+
{
|
1745 |
+
"epoch": 22.02,
|
1746 |
+
"eval_loss": 0.5983160138130188,
|
1747 |
+
"eval_runtime": 2191.4681,
|
1748 |
+
"eval_samples_per_second": 0.588,
|
1749 |
+
"eval_steps_per_second": 0.294,
|
1750 |
+
"eval_wer": 27.49828990734407,
|
1751 |
+
"step": 7000
|
1752 |
+
},
|
1753 |
+
{
|
1754 |
+
"epoch": 22.03,
|
1755 |
+
"learning_rate": 1.0277930654925703e-06,
|
1756 |
+
"loss": 0.0001,
|
1757 |
+
"step": 7025
|
1758 |
+
},
|
1759 |
+
{
|
1760 |
+
"epoch": 22.03,
|
1761 |
+
"learning_rate": 9.933957072096865e-07,
|
1762 |
+
"loss": 0.0001,
|
1763 |
+
"step": 7050
|
1764 |
+
},
|
1765 |
+
{
|
1766 |
+
"epoch": 22.03,
|
1767 |
+
"learning_rate": 9.589983489268025e-07,
|
1768 |
+
"loss": 0.0001,
|
1769 |
+
"step": 7075
|
1770 |
+
},
|
1771 |
+
{
|
1772 |
+
"epoch": 22.04,
|
1773 |
+
"learning_rate": 9.246009906439187e-07,
|
1774 |
+
"loss": 0.0001,
|
1775 |
+
"step": 7100
|
1776 |
+
},
|
1777 |
+
{
|
1778 |
+
"epoch": 22.04,
|
1779 |
+
"learning_rate": 8.902036323610347e-07,
|
1780 |
+
"loss": 0.0001,
|
1781 |
+
"step": 7125
|
1782 |
+
},
|
1783 |
+
{
|
1784 |
+
"epoch": 23.0,
|
1785 |
+
"learning_rate": 8.558062740781509e-07,
|
1786 |
+
"loss": 0.0001,
|
1787 |
+
"step": 7150
|
1788 |
+
},
|
1789 |
+
{
|
1790 |
+
"epoch": 23.01,
|
1791 |
+
"learning_rate": 8.214089157952671e-07,
|
1792 |
+
"loss": 0.0001,
|
1793 |
+
"step": 7175
|
1794 |
+
},
|
1795 |
+
{
|
1796 |
+
"epoch": 23.01,
|
1797 |
+
"learning_rate": 7.870115575123831e-07,
|
1798 |
+
"loss": 0.0001,
|
1799 |
+
"step": 7200
|
1800 |
+
},
|
1801 |
+
{
|
1802 |
+
"epoch": 23.01,
|
1803 |
+
"learning_rate": 7.526141992294993e-07,
|
1804 |
+
"loss": 0.0001,
|
1805 |
+
"step": 7225
|
1806 |
+
},
|
1807 |
+
{
|
1808 |
+
"epoch": 23.02,
|
1809 |
+
"learning_rate": 7.182168409466153e-07,
|
1810 |
+
"loss": 0.0001,
|
1811 |
+
"step": 7250
|
1812 |
+
},
|
1813 |
+
{
|
1814 |
+
"epoch": 23.02,
|
1815 |
+
"learning_rate": 6.838194826637315e-07,
|
1816 |
+
"loss": 0.0001,
|
1817 |
+
"step": 7275
|
1818 |
+
},
|
1819 |
+
{
|
1820 |
+
"epoch": 23.02,
|
1821 |
+
"learning_rate": 6.494221243808475e-07,
|
1822 |
+
"loss": 0.0001,
|
1823 |
+
"step": 7300
|
1824 |
+
},
|
1825 |
+
{
|
1826 |
+
"epoch": 23.03,
|
1827 |
+
"learning_rate": 6.150247660979637e-07,
|
1828 |
+
"loss": 0.0001,
|
1829 |
+
"step": 7325
|
1830 |
+
},
|
1831 |
+
{
|
1832 |
+
"epoch": 23.03,
|
1833 |
+
"learning_rate": 5.806274078150798e-07,
|
1834 |
+
"loss": 0.0001,
|
1835 |
+
"step": 7350
|
1836 |
+
},
|
1837 |
+
{
|
1838 |
+
"epoch": 23.03,
|
1839 |
+
"learning_rate": 5.462300495321959e-07,
|
1840 |
+
"loss": 0.0001,
|
1841 |
+
"step": 7375
|
1842 |
+
},
|
1843 |
+
{
|
1844 |
+
"epoch": 23.03,
|
1845 |
+
"learning_rate": 5.118326912493121e-07,
|
1846 |
+
"loss": 0.0001,
|
1847 |
+
"step": 7400
|
1848 |
+
},
|
1849 |
+
{
|
1850 |
+
"epoch": 23.04,
|
1851 |
+
"learning_rate": 4.774353329664282e-07,
|
1852 |
+
"loss": 0.0001,
|
1853 |
+
"step": 7425
|
1854 |
+
},
|
1855 |
+
{
|
1856 |
+
"epoch": 24.0,
|
1857 |
+
"learning_rate": 4.4303797468354435e-07,
|
1858 |
+
"loss": 0.0001,
|
1859 |
+
"step": 7450
|
1860 |
+
},
|
1861 |
+
{
|
1862 |
+
"epoch": 24.0,
|
1863 |
+
"learning_rate": 4.0864061640066045e-07,
|
1864 |
+
"loss": 0.0001,
|
1865 |
+
"step": 7475
|
1866 |
+
},
|
1867 |
+
{
|
1868 |
+
"epoch": 24.01,
|
1869 |
+
"learning_rate": 3.7424325811777655e-07,
|
1870 |
+
"loss": 0.0001,
|
1871 |
+
"step": 7500
|
1872 |
+
},
|
1873 |
+
{
|
1874 |
+
"epoch": 24.01,
|
1875 |
+
"learning_rate": 3.3984589983489265e-07,
|
1876 |
+
"loss": 0.0001,
|
1877 |
+
"step": 7525
|
1878 |
+
},
|
1879 |
+
{
|
1880 |
+
"epoch": 24.01,
|
1881 |
+
"learning_rate": 3.054485415520088e-07,
|
1882 |
+
"loss": 0.0001,
|
1883 |
+
"step": 7550
|
1884 |
+
},
|
1885 |
+
{
|
1886 |
+
"epoch": 24.02,
|
1887 |
+
"learning_rate": 2.7105118326912496e-07,
|
1888 |
+
"loss": 0.0001,
|
1889 |
+
"step": 7575
|
1890 |
+
},
|
1891 |
+
{
|
1892 |
+
"epoch": 24.02,
|
1893 |
+
"learning_rate": 2.3665382498624108e-07,
|
1894 |
+
"loss": 0.0001,
|
1895 |
+
"step": 7600
|
1896 |
+
},
|
1897 |
+
{
|
1898 |
+
"epoch": 24.02,
|
1899 |
+
"learning_rate": 2.0225646670335718e-07,
|
1900 |
+
"loss": 0.0001,
|
1901 |
+
"step": 7625
|
1902 |
+
},
|
1903 |
+
{
|
1904 |
+
"epoch": 24.03,
|
1905 |
+
"learning_rate": 1.6785910842047334e-07,
|
1906 |
+
"loss": 0.0001,
|
1907 |
+
"step": 7650
|
1908 |
+
},
|
1909 |
+
{
|
1910 |
+
"epoch": 24.03,
|
1911 |
+
"learning_rate": 1.3346175013758944e-07,
|
1912 |
+
"loss": 0.0001,
|
1913 |
+
"step": 7675
|
1914 |
+
},
|
1915 |
+
{
|
1916 |
+
"epoch": 24.03,
|
1917 |
+
"learning_rate": 9.906439185470557e-08,
|
1918 |
+
"loss": 0.0001,
|
1919 |
+
"step": 7700
|
1920 |
+
},
|
1921 |
+
{
|
1922 |
+
"epoch": 24.04,
|
1923 |
+
"learning_rate": 6.466703357182169e-08,
|
1924 |
+
"loss": 0.0001,
|
1925 |
+
"step": 7725
|
1926 |
+
},
|
1927 |
+
{
|
1928 |
+
"epoch": 24.04,
|
1929 |
+
"learning_rate": 3.026967528893781e-08,
|
1930 |
+
"loss": 0.0001,
|
1931 |
+
"step": 7750
|
1932 |
+
},
|
1933 |
+
{
|
1934 |
+
"epoch": 25.0,
|
1935 |
+
"step": 7768,
|
1936 |
+
"total_flos": 1.2664482317815356e+20,
|
1937 |
+
"train_loss": 0.0937204750527475,
|
1938 |
+
"train_runtime": 49250.3081,
|
1939 |
+
"train_samples_per_second": 2.524,
|
1940 |
+
"train_steps_per_second": 0.158
|
1941 |
}
|
1942 |
],
|
1943 |
+
"max_steps": 7768,
|
1944 |
"num_train_epochs": 9223372036854775807,
|
1945 |
+
"total_flos": 1.2664482317815356e+20,
|
1946 |
"trial_name": null,
|
1947 |
"trial_params": null
|
1948 |
}
|