noflm
commited on
Commit
•
67ede7a
1
Parent(s):
f239ec3
End of training
Browse files- all_results.json +10 -10
- eval_results.json +6 -6
- runs/Jan15_09-37-28_GPU01/events.out.tfevents.1673819039.GPU01.2598404.2 +3 -0
- train_results.json +5 -5
- trainer_state.json +634 -634
all_results.json
CHANGED
@@ -1,12 +1,12 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_loss":
|
4 |
-
"eval_runtime":
|
5 |
-
"eval_samples_per_second": 1.
|
6 |
-
"eval_steps_per_second": 0.
|
7 |
-
"eval_wer":
|
8 |
-
"train_loss": 0.
|
9 |
-
"train_runtime":
|
10 |
-
"train_samples_per_second": 3.
|
11 |
-
"train_steps_per_second": 0.
|
12 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 526.0,
|
3 |
+
"eval_loss": 1.159555435180664,
|
4 |
+
"eval_runtime": 18.8596,
|
5 |
+
"eval_samples_per_second": 1.75,
|
6 |
+
"eval_steps_per_second": 0.265,
|
7 |
+
"eval_wer": 31.536388140161726,
|
8 |
+
"train_loss": 0.004325694731991234,
|
9 |
+
"train_runtime": 43350.103,
|
10 |
+
"train_samples_per_second": 3.691,
|
11 |
+
"train_steps_per_second": 0.231
|
12 |
}
|
eval_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_loss":
|
4 |
-
"eval_runtime":
|
5 |
-
"eval_samples_per_second": 1.
|
6 |
-
"eval_steps_per_second": 0.
|
7 |
-
"eval_wer":
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 526.0,
|
3 |
+
"eval_loss": 1.159555435180664,
|
4 |
+
"eval_runtime": 18.8596,
|
5 |
+
"eval_samples_per_second": 1.75,
|
6 |
+
"eval_steps_per_second": 0.265,
|
7 |
+
"eval_wer": 31.536388140161726
|
8 |
}
|
runs/Jan15_09-37-28_GPU01/events.out.tfevents.1673819039.GPU01.2598404.2
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d9a55ef5af9b35e70d3c7cb6612926d1fef620aed8bf6bede9a864b177cd45d5
|
3 |
+
size 358
|
train_results.json
CHANGED
@@ -1,7 +1,7 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"train_loss": 0.
|
4 |
-
"train_runtime":
|
5 |
-
"train_samples_per_second": 3.
|
6 |
-
"train_steps_per_second": 0.
|
7 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 526.0,
|
3 |
+
"train_loss": 0.004325694731991234,
|
4 |
+
"train_runtime": 43350.103,
|
5 |
+
"train_samples_per_second": 3.691,
|
6 |
+
"train_steps_per_second": 0.231
|
7 |
}
|
trainer_state.json
CHANGED
@@ -1,2515 +1,2515 @@
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
-
"epoch":
|
5 |
"global_step": 10000,
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
9 |
"log_history": [
|
10 |
{
|
11 |
-
"epoch":
|
12 |
"learning_rate": 2.2e-06,
|
13 |
-
"loss": 0.
|
14 |
"step": 25
|
15 |
},
|
16 |
{
|
17 |
-
"epoch": 0
|
18 |
"learning_rate": 4.7e-06,
|
19 |
-
"loss": 0.
|
20 |
"step": 50
|
21 |
},
|
22 |
{
|
23 |
-
"epoch":
|
24 |
"learning_rate": 7.2000000000000005e-06,
|
25 |
-
"loss": 0.
|
26 |
"step": 75
|
27 |
},
|
28 |
{
|
29 |
-
"epoch":
|
30 |
"learning_rate": 9.7e-06,
|
31 |
-
"loss": 0.
|
32 |
"step": 100
|
33 |
},
|
34 |
{
|
35 |
-
"epoch":
|
36 |
"learning_rate": 1e-05,
|
37 |
-
"loss": 0.
|
38 |
"step": 125
|
39 |
},
|
40 |
{
|
41 |
-
"epoch":
|
42 |
"learning_rate": 1e-05,
|
43 |
-
"loss": 0.
|
44 |
"step": 150
|
45 |
},
|
46 |
{
|
47 |
-
"epoch":
|
48 |
"learning_rate": 1e-05,
|
49 |
-
"loss": 0.
|
50 |
"step": 175
|
51 |
},
|
52 |
{
|
53 |
-
"epoch":
|
54 |
"learning_rate": 1e-05,
|
55 |
-
"loss": 0.
|
56 |
"step": 200
|
57 |
},
|
58 |
{
|
59 |
-
"epoch":
|
60 |
"learning_rate": 1e-05,
|
61 |
-
"loss": 0.
|
62 |
"step": 225
|
63 |
},
|
64 |
{
|
65 |
-
"epoch":
|
66 |
"learning_rate": 1e-05,
|
67 |
-
"loss": 0.
|
68 |
"step": 250
|
69 |
},
|
70 |
{
|
71 |
-
"epoch":
|
72 |
"learning_rate": 1e-05,
|
73 |
-
"loss": 0.
|
74 |
"step": 275
|
75 |
},
|
76 |
{
|
77 |
-
"epoch":
|
78 |
"learning_rate": 1e-05,
|
79 |
-
"loss": 0.
|
80 |
"step": 300
|
81 |
},
|
82 |
{
|
83 |
-
"epoch":
|
84 |
"learning_rate": 1e-05,
|
85 |
-
"loss": 0.
|
86 |
"step": 325
|
87 |
},
|
88 |
{
|
89 |
-
"epoch":
|
90 |
"learning_rate": 1e-05,
|
91 |
-
"loss": 0.
|
92 |
"step": 350
|
93 |
},
|
94 |
{
|
95 |
-
"epoch":
|
96 |
"learning_rate": 1e-05,
|
97 |
-
"loss": 0.
|
98 |
"step": 375
|
99 |
},
|
100 |
{
|
101 |
-
"epoch":
|
102 |
"learning_rate": 1e-05,
|
103 |
-
"loss": 0.
|
104 |
"step": 400
|
105 |
},
|
106 |
{
|
107 |
-
"epoch":
|
108 |
"learning_rate": 1e-05,
|
109 |
-
"loss": 0.
|
110 |
"step": 425
|
111 |
},
|
112 |
{
|
113 |
-
"epoch":
|
114 |
"learning_rate": 1e-05,
|
115 |
-
"loss": 0.
|
116 |
"step": 450
|
117 |
},
|
118 |
{
|
119 |
-
"epoch":
|
120 |
"learning_rate": 1e-05,
|
121 |
-
"loss": 0.
|
122 |
"step": 475
|
123 |
},
|
124 |
{
|
125 |
-
"epoch":
|
126 |
"learning_rate": 1e-05,
|
127 |
-
"loss": 0.
|
128 |
"step": 500
|
129 |
},
|
130 |
{
|
131 |
-
"epoch":
|
132 |
"learning_rate": 1e-05,
|
133 |
-
"loss": 0.
|
134 |
"step": 525
|
135 |
},
|
136 |
{
|
137 |
-
"epoch":
|
138 |
"learning_rate": 1e-05,
|
139 |
-
"loss": 0.
|
140 |
"step": 550
|
141 |
},
|
142 |
{
|
143 |
-
"epoch":
|
144 |
"learning_rate": 1e-05,
|
145 |
-
"loss": 0.
|
146 |
"step": 575
|
147 |
},
|
148 |
{
|
149 |
-
"epoch":
|
150 |
"learning_rate": 1e-05,
|
151 |
-
"loss": 0.
|
152 |
"step": 600
|
153 |
},
|
154 |
{
|
155 |
-
"epoch":
|
156 |
"learning_rate": 1e-05,
|
157 |
-
"loss": 0.
|
158 |
"step": 625
|
159 |
},
|
160 |
{
|
161 |
-
"epoch":
|
162 |
"learning_rate": 1e-05,
|
163 |
-
"loss": 0.
|
164 |
"step": 650
|
165 |
},
|
166 |
{
|
167 |
-
"epoch":
|
168 |
"learning_rate": 1e-05,
|
169 |
-
"loss": 0.
|
170 |
"step": 675
|
171 |
},
|
172 |
{
|
173 |
-
"epoch":
|
174 |
"learning_rate": 1e-05,
|
175 |
-
"loss": 0.
|
176 |
"step": 700
|
177 |
},
|
178 |
{
|
179 |
-
"epoch":
|
180 |
"learning_rate": 1e-05,
|
181 |
-
"loss": 0.
|
182 |
"step": 725
|
183 |
},
|
184 |
{
|
185 |
-
"epoch":
|
186 |
"learning_rate": 1e-05,
|
187 |
-
"loss": 0.
|
188 |
"step": 750
|
189 |
},
|
190 |
{
|
191 |
-
"epoch":
|
192 |
"learning_rate": 1e-05,
|
193 |
-
"loss": 0.
|
194 |
"step": 775
|
195 |
},
|
196 |
{
|
197 |
-
"epoch":
|
198 |
"learning_rate": 1e-05,
|
199 |
-
"loss": 0.
|
200 |
"step": 800
|
201 |
},
|
202 |
{
|
203 |
-
"epoch":
|
204 |
"learning_rate": 1e-05,
|
205 |
-
"loss": 0.
|
206 |
"step": 825
|
207 |
},
|
208 |
{
|
209 |
-
"epoch":
|
210 |
"learning_rate": 1e-05,
|
211 |
-
"loss": 0.
|
212 |
"step": 850
|
213 |
},
|
214 |
{
|
215 |
-
"epoch":
|
216 |
"learning_rate": 1e-05,
|
217 |
-
"loss": 0.
|
218 |
"step": 875
|
219 |
},
|
220 |
{
|
221 |
-
"epoch":
|
222 |
"learning_rate": 1e-05,
|
223 |
-
"loss": 0.
|
224 |
"step": 900
|
225 |
},
|
226 |
{
|
227 |
-
"epoch":
|
228 |
"learning_rate": 1e-05,
|
229 |
-
"loss": 0.
|
230 |
"step": 925
|
231 |
},
|
232 |
{
|
233 |
-
"epoch":
|
234 |
"learning_rate": 1e-05,
|
235 |
-
"loss": 0.
|
236 |
"step": 950
|
237 |
},
|
238 |
{
|
239 |
-
"epoch":
|
240 |
"learning_rate": 1e-05,
|
241 |
-
"loss": 0.
|
242 |
"step": 975
|
243 |
},
|
244 |
{
|
245 |
-
"epoch":
|
246 |
"learning_rate": 1e-05,
|
247 |
-
"loss": 0.
|
248 |
"step": 1000
|
249 |
},
|
250 |
{
|
251 |
-
"epoch":
|
252 |
-
"eval_loss": 0.
|
253 |
-
"eval_runtime":
|
254 |
-
"eval_samples_per_second": 1.
|
255 |
-
"eval_steps_per_second": 0.
|
256 |
-
"eval_wer":
|
257 |
"step": 1000
|
258 |
},
|
259 |
{
|
260 |
-
"epoch":
|
261 |
"learning_rate": 1e-05,
|
262 |
-
"loss": 0.
|
263 |
"step": 1025
|
264 |
},
|
265 |
{
|
266 |
-
"epoch":
|
267 |
"learning_rate": 1e-05,
|
268 |
-
"loss": 0.
|
269 |
"step": 1050
|
270 |
},
|
271 |
{
|
272 |
-
"epoch":
|
273 |
"learning_rate": 1e-05,
|
274 |
-
"loss": 0.
|
275 |
"step": 1075
|
276 |
},
|
277 |
{
|
278 |
-
"epoch":
|
279 |
"learning_rate": 1e-05,
|
280 |
-
"loss": 0.
|
281 |
"step": 1100
|
282 |
},
|
283 |
{
|
284 |
-
"epoch":
|
285 |
"learning_rate": 1e-05,
|
286 |
-
"loss": 0.
|
287 |
"step": 1125
|
288 |
},
|
289 |
{
|
290 |
-
"epoch":
|
291 |
"learning_rate": 1e-05,
|
292 |
-
"loss": 0.
|
293 |
"step": 1150
|
294 |
},
|
295 |
{
|
296 |
-
"epoch":
|
297 |
"learning_rate": 1e-05,
|
298 |
-
"loss": 0.
|
299 |
"step": 1175
|
300 |
},
|
301 |
{
|
302 |
-
"epoch":
|
303 |
"learning_rate": 1e-05,
|
304 |
-
"loss": 0.
|
305 |
"step": 1200
|
306 |
},
|
307 |
{
|
308 |
-
"epoch":
|
309 |
"learning_rate": 1e-05,
|
310 |
-
"loss": 0.
|
311 |
"step": 1225
|
312 |
},
|
313 |
{
|
314 |
-
"epoch":
|
315 |
"learning_rate": 1e-05,
|
316 |
-
"loss": 0.
|
317 |
"step": 1250
|
318 |
},
|
319 |
{
|
320 |
-
"epoch":
|
321 |
"learning_rate": 1e-05,
|
322 |
-
"loss": 0.
|
323 |
"step": 1275
|
324 |
},
|
325 |
{
|
326 |
-
"epoch":
|
327 |
"learning_rate": 1e-05,
|
328 |
-
"loss": 0.
|
329 |
"step": 1300
|
330 |
},
|
331 |
{
|
332 |
-
"epoch":
|
333 |
"learning_rate": 1e-05,
|
334 |
-
"loss": 0.
|
335 |
"step": 1325
|
336 |
},
|
337 |
{
|
338 |
-
"epoch":
|
339 |
"learning_rate": 1e-05,
|
340 |
-
"loss": 0.
|
341 |
"step": 1350
|
342 |
},
|
343 |
{
|
344 |
-
"epoch":
|
345 |
"learning_rate": 1e-05,
|
346 |
-
"loss": 0.
|
347 |
"step": 1375
|
348 |
},
|
349 |
{
|
350 |
-
"epoch":
|
351 |
"learning_rate": 1e-05,
|
352 |
-
"loss": 0.
|
353 |
"step": 1400
|
354 |
},
|
355 |
{
|
356 |
-
"epoch":
|
357 |
"learning_rate": 1e-05,
|
358 |
-
"loss": 0.
|
359 |
"step": 1425
|
360 |
},
|
361 |
{
|
362 |
-
"epoch":
|
363 |
"learning_rate": 1e-05,
|
364 |
-
"loss": 0.
|
365 |
"step": 1450
|
366 |
},
|
367 |
{
|
368 |
-
"epoch":
|
369 |
"learning_rate": 1e-05,
|
370 |
-
"loss": 0.
|
371 |
"step": 1475
|
372 |
},
|
373 |
{
|
374 |
-
"epoch":
|
375 |
"learning_rate": 1e-05,
|
376 |
-
"loss": 0.
|
377 |
"step": 1500
|
378 |
},
|
379 |
{
|
380 |
-
"epoch":
|
381 |
"learning_rate": 1e-05,
|
382 |
-
"loss": 0.
|
383 |
"step": 1525
|
384 |
},
|
385 |
{
|
386 |
-
"epoch":
|
387 |
"learning_rate": 1e-05,
|
388 |
-
"loss": 0.
|
389 |
"step": 1550
|
390 |
},
|
391 |
{
|
392 |
-
"epoch":
|
393 |
"learning_rate": 1e-05,
|
394 |
-
"loss": 0.
|
395 |
"step": 1575
|
396 |
},
|
397 |
{
|
398 |
-
"epoch":
|
399 |
"learning_rate": 1e-05,
|
400 |
-
"loss": 0.
|
401 |
"step": 1600
|
402 |
},
|
403 |
{
|
404 |
-
"epoch":
|
405 |
"learning_rate": 1e-05,
|
406 |
-
"loss": 0.
|
407 |
"step": 1625
|
408 |
},
|
409 |
{
|
410 |
-
"epoch":
|
411 |
"learning_rate": 1e-05,
|
412 |
-
"loss": 0.
|
413 |
"step": 1650
|
414 |
},
|
415 |
{
|
416 |
-
"epoch":
|
417 |
"learning_rate": 1e-05,
|
418 |
-
"loss": 0.
|
419 |
"step": 1675
|
420 |
},
|
421 |
{
|
422 |
-
"epoch":
|
423 |
"learning_rate": 1e-05,
|
424 |
-
"loss": 0.
|
425 |
"step": 1700
|
426 |
},
|
427 |
{
|
428 |
-
"epoch":
|
429 |
"learning_rate": 1e-05,
|
430 |
-
"loss": 0.
|
431 |
"step": 1725
|
432 |
},
|
433 |
{
|
434 |
-
"epoch":
|
435 |
"learning_rate": 1e-05,
|
436 |
-
"loss": 0.
|
437 |
"step": 1750
|
438 |
},
|
439 |
{
|
440 |
-
"epoch":
|
441 |
"learning_rate": 1e-05,
|
442 |
-
"loss": 0.
|
443 |
"step": 1775
|
444 |
},
|
445 |
{
|
446 |
-
"epoch":
|
447 |
"learning_rate": 1e-05,
|
448 |
-
"loss": 0.
|
449 |
"step": 1800
|
450 |
},
|
451 |
{
|
452 |
-
"epoch":
|
453 |
"learning_rate": 1e-05,
|
454 |
-
"loss": 0.
|
455 |
"step": 1825
|
456 |
},
|
457 |
{
|
458 |
-
"epoch":
|
459 |
"learning_rate": 1e-05,
|
460 |
-
"loss": 0.
|
461 |
"step": 1850
|
462 |
},
|
463 |
{
|
464 |
-
"epoch":
|
465 |
"learning_rate": 1e-05,
|
466 |
-
"loss": 0.
|
467 |
"step": 1875
|
468 |
},
|
469 |
{
|
470 |
-
"epoch":
|
471 |
"learning_rate": 1e-05,
|
472 |
-
"loss": 0.
|
473 |
"step": 1900
|
474 |
},
|
475 |
{
|
476 |
-
"epoch":
|
477 |
"learning_rate": 1e-05,
|
478 |
-
"loss": 0.
|
479 |
"step": 1925
|
480 |
},
|
481 |
{
|
482 |
-
"epoch":
|
483 |
"learning_rate": 1e-05,
|
484 |
-
"loss": 0.
|
485 |
"step": 1950
|
486 |
},
|
487 |
{
|
488 |
-
"epoch":
|
489 |
"learning_rate": 1e-05,
|
490 |
-
"loss": 0.
|
491 |
"step": 1975
|
492 |
},
|
493 |
{
|
494 |
-
"epoch":
|
495 |
"learning_rate": 1e-05,
|
496 |
-
"loss": 0.
|
497 |
"step": 2000
|
498 |
},
|
499 |
{
|
500 |
-
"epoch":
|
501 |
-
"eval_loss": 0.
|
502 |
-
"eval_runtime":
|
503 |
-
"eval_samples_per_second": 1.
|
504 |
-
"eval_steps_per_second": 0.
|
505 |
-
"eval_wer":
|
506 |
"step": 2000
|
507 |
},
|
508 |
{
|
509 |
-
"epoch":
|
510 |
"learning_rate": 1e-05,
|
511 |
-
"loss": 0.
|
512 |
"step": 2025
|
513 |
},
|
514 |
{
|
515 |
-
"epoch":
|
516 |
"learning_rate": 1e-05,
|
517 |
-
"loss": 0.
|
518 |
"step": 2050
|
519 |
},
|
520 |
{
|
521 |
-
"epoch":
|
522 |
"learning_rate": 1e-05,
|
523 |
-
"loss": 0.
|
524 |
"step": 2075
|
525 |
},
|
526 |
{
|
527 |
-
"epoch":
|
528 |
"learning_rate": 1e-05,
|
529 |
-
"loss": 0.
|
530 |
"step": 2100
|
531 |
},
|
532 |
{
|
533 |
-
"epoch":
|
534 |
"learning_rate": 1e-05,
|
535 |
-
"loss": 0.
|
536 |
"step": 2125
|
537 |
},
|
538 |
{
|
539 |
-
"epoch":
|
540 |
"learning_rate": 1e-05,
|
541 |
-
"loss": 0.
|
542 |
"step": 2150
|
543 |
},
|
544 |
{
|
545 |
-
"epoch":
|
546 |
"learning_rate": 1e-05,
|
547 |
-
"loss": 0.
|
548 |
"step": 2175
|
549 |
},
|
550 |
{
|
551 |
-
"epoch":
|
552 |
"learning_rate": 1e-05,
|
553 |
-
"loss": 0.
|
554 |
"step": 2200
|
555 |
},
|
556 |
{
|
557 |
-
"epoch":
|
558 |
"learning_rate": 1e-05,
|
559 |
-
"loss": 0.
|
560 |
"step": 2225
|
561 |
},
|
562 |
{
|
563 |
-
"epoch":
|
564 |
"learning_rate": 1e-05,
|
565 |
-
"loss": 0.
|
566 |
"step": 2250
|
567 |
},
|
568 |
{
|
569 |
-
"epoch":
|
570 |
"learning_rate": 1e-05,
|
571 |
-
"loss": 0.
|
572 |
"step": 2275
|
573 |
},
|
574 |
{
|
575 |
-
"epoch":
|
576 |
"learning_rate": 1e-05,
|
577 |
-
"loss": 0.
|
578 |
"step": 2300
|
579 |
},
|
580 |
{
|
581 |
-
"epoch":
|
582 |
"learning_rate": 1e-05,
|
583 |
-
"loss": 0.
|
584 |
"step": 2325
|
585 |
},
|
586 |
{
|
587 |
-
"epoch":
|
588 |
"learning_rate": 1e-05,
|
589 |
-
"loss": 0.
|
590 |
"step": 2350
|
591 |
},
|
592 |
{
|
593 |
-
"epoch":
|
594 |
"learning_rate": 1e-05,
|
595 |
-
"loss": 0.
|
596 |
"step": 2375
|
597 |
},
|
598 |
{
|
599 |
-
"epoch":
|
600 |
"learning_rate": 1e-05,
|
601 |
-
"loss": 0.
|
602 |
"step": 2400
|
603 |
},
|
604 |
{
|
605 |
-
"epoch":
|
606 |
"learning_rate": 1e-05,
|
607 |
-
"loss": 0.
|
608 |
"step": 2425
|
609 |
},
|
610 |
{
|
611 |
-
"epoch":
|
612 |
"learning_rate": 1e-05,
|
613 |
-
"loss": 0.
|
614 |
"step": 2450
|
615 |
},
|
616 |
{
|
617 |
-
"epoch":
|
618 |
"learning_rate": 1e-05,
|
619 |
-
"loss": 0.
|
620 |
"step": 2475
|
621 |
},
|
622 |
{
|
623 |
-
"epoch":
|
624 |
"learning_rate": 1e-05,
|
625 |
-
"loss": 0.
|
626 |
"step": 2500
|
627 |
},
|
628 |
{
|
629 |
-
"epoch":
|
630 |
"learning_rate": 1e-05,
|
631 |
-
"loss": 0.
|
632 |
"step": 2525
|
633 |
},
|
634 |
{
|
635 |
-
"epoch":
|
636 |
"learning_rate": 1e-05,
|
637 |
-
"loss": 0.
|
638 |
"step": 2550
|
639 |
},
|
640 |
{
|
641 |
-
"epoch":
|
642 |
"learning_rate": 1e-05,
|
643 |
-
"loss": 0.
|
644 |
"step": 2575
|
645 |
},
|
646 |
{
|
647 |
-
"epoch":
|
648 |
"learning_rate": 1e-05,
|
649 |
-
"loss": 0.
|
650 |
"step": 2600
|
651 |
},
|
652 |
{
|
653 |
-
"epoch":
|
654 |
"learning_rate": 1e-05,
|
655 |
-
"loss": 0.
|
656 |
"step": 2625
|
657 |
},
|
658 |
{
|
659 |
-
"epoch":
|
660 |
"learning_rate": 1e-05,
|
661 |
-
"loss": 0.
|
662 |
"step": 2650
|
663 |
},
|
664 |
{
|
665 |
-
"epoch":
|
666 |
"learning_rate": 1e-05,
|
667 |
-
"loss": 0.
|
668 |
"step": 2675
|
669 |
},
|
670 |
{
|
671 |
-
"epoch":
|
672 |
"learning_rate": 1e-05,
|
673 |
-
"loss": 0.
|
674 |
"step": 2700
|
675 |
},
|
676 |
{
|
677 |
-
"epoch":
|
678 |
"learning_rate": 1e-05,
|
679 |
-
"loss": 0.
|
680 |
"step": 2725
|
681 |
},
|
682 |
{
|
683 |
-
"epoch":
|
684 |
"learning_rate": 1e-05,
|
685 |
-
"loss": 0.
|
686 |
"step": 2750
|
687 |
},
|
688 |
{
|
689 |
-
"epoch":
|
690 |
"learning_rate": 1e-05,
|
691 |
-
"loss": 0.
|
692 |
"step": 2775
|
693 |
},
|
694 |
{
|
695 |
-
"epoch":
|
696 |
"learning_rate": 1e-05,
|
697 |
-
"loss": 0.
|
698 |
"step": 2800
|
699 |
},
|
700 |
{
|
701 |
-
"epoch":
|
702 |
"learning_rate": 1e-05,
|
703 |
-
"loss": 0.
|
704 |
"step": 2825
|
705 |
},
|
706 |
{
|
707 |
-
"epoch":
|
708 |
"learning_rate": 1e-05,
|
709 |
-
"loss": 0.
|
710 |
"step": 2850
|
711 |
},
|
712 |
{
|
713 |
-
"epoch":
|
714 |
"learning_rate": 1e-05,
|
715 |
-
"loss": 0.
|
716 |
"step": 2875
|
717 |
},
|
718 |
{
|
719 |
-
"epoch":
|
720 |
"learning_rate": 1e-05,
|
721 |
-
"loss": 0.
|
722 |
"step": 2900
|
723 |
},
|
724 |
{
|
725 |
-
"epoch":
|
726 |
"learning_rate": 1e-05,
|
727 |
-
"loss": 0.
|
728 |
"step": 2925
|
729 |
},
|
730 |
{
|
731 |
-
"epoch":
|
732 |
"learning_rate": 1e-05,
|
733 |
-
"loss": 0.
|
734 |
"step": 2950
|
735 |
},
|
736 |
{
|
737 |
-
"epoch":
|
738 |
"learning_rate": 1e-05,
|
739 |
-
"loss": 0.
|
740 |
"step": 2975
|
741 |
},
|
742 |
{
|
743 |
-
"epoch":
|
744 |
"learning_rate": 1e-05,
|
745 |
-
"loss": 0.
|
746 |
"step": 3000
|
747 |
},
|
748 |
{
|
749 |
-
"epoch":
|
750 |
-
"eval_loss": 0.
|
751 |
-
"eval_runtime":
|
752 |
-
"eval_samples_per_second": 1.
|
753 |
-
"eval_steps_per_second": 0.
|
754 |
-
"eval_wer":
|
755 |
"step": 3000
|
756 |
},
|
757 |
{
|
758 |
-
"epoch":
|
759 |
"learning_rate": 1e-05,
|
760 |
-
"loss": 0.
|
761 |
"step": 3025
|
762 |
},
|
763 |
{
|
764 |
-
"epoch":
|
765 |
"learning_rate": 1e-05,
|
766 |
-
"loss": 0.
|
767 |
"step": 3050
|
768 |
},
|
769 |
{
|
770 |
-
"epoch":
|
771 |
"learning_rate": 1e-05,
|
772 |
-
"loss": 0.
|
773 |
"step": 3075
|
774 |
},
|
775 |
{
|
776 |
-
"epoch":
|
777 |
"learning_rate": 1e-05,
|
778 |
-
"loss": 0.
|
779 |
"step": 3100
|
780 |
},
|
781 |
{
|
782 |
-
"epoch":
|
783 |
"learning_rate": 1e-05,
|
784 |
-
"loss": 0.
|
785 |
"step": 3125
|
786 |
},
|
787 |
{
|
788 |
-
"epoch":
|
789 |
"learning_rate": 1e-05,
|
790 |
-
"loss": 0.
|
791 |
"step": 3150
|
792 |
},
|
793 |
{
|
794 |
-
"epoch":
|
795 |
"learning_rate": 1e-05,
|
796 |
-
"loss": 0.
|
797 |
"step": 3175
|
798 |
},
|
799 |
{
|
800 |
-
"epoch":
|
801 |
"learning_rate": 1e-05,
|
802 |
-
"loss": 0.
|
803 |
"step": 3200
|
804 |
},
|
805 |
{
|
806 |
-
"epoch":
|
807 |
"learning_rate": 1e-05,
|
808 |
-
"loss": 0.
|
809 |
"step": 3225
|
810 |
},
|
811 |
{
|
812 |
-
"epoch":
|
813 |
"learning_rate": 1e-05,
|
814 |
-
"loss": 0.
|
815 |
"step": 3250
|
816 |
},
|
817 |
{
|
818 |
-
"epoch":
|
819 |
"learning_rate": 1e-05,
|
820 |
-
"loss": 0.
|
821 |
"step": 3275
|
822 |
},
|
823 |
{
|
824 |
-
"epoch":
|
825 |
"learning_rate": 1e-05,
|
826 |
-
"loss": 0.
|
827 |
"step": 3300
|
828 |
},
|
829 |
{
|
830 |
-
"epoch":
|
831 |
"learning_rate": 1e-05,
|
832 |
-
"loss": 0.
|
833 |
"step": 3325
|
834 |
},
|
835 |
{
|
836 |
-
"epoch":
|
837 |
"learning_rate": 1e-05,
|
838 |
-
"loss": 0.
|
839 |
"step": 3350
|
840 |
},
|
841 |
{
|
842 |
-
"epoch":
|
843 |
"learning_rate": 1e-05,
|
844 |
-
"loss": 0.
|
845 |
"step": 3375
|
846 |
},
|
847 |
{
|
848 |
-
"epoch":
|
849 |
"learning_rate": 1e-05,
|
850 |
-
"loss": 0.
|
851 |
"step": 3400
|
852 |
},
|
853 |
{
|
854 |
-
"epoch":
|
855 |
"learning_rate": 1e-05,
|
856 |
-
"loss": 0.
|
857 |
"step": 3425
|
858 |
},
|
859 |
{
|
860 |
-
"epoch":
|
861 |
"learning_rate": 1e-05,
|
862 |
-
"loss": 0.
|
863 |
"step": 3450
|
864 |
},
|
865 |
{
|
866 |
-
"epoch":
|
867 |
"learning_rate": 1e-05,
|
868 |
-
"loss": 0.
|
869 |
"step": 3475
|
870 |
},
|
871 |
{
|
872 |
-
"epoch":
|
873 |
"learning_rate": 1e-05,
|
874 |
-
"loss": 0.
|
875 |
"step": 3500
|
876 |
},
|
877 |
{
|
878 |
-
"epoch":
|
879 |
"learning_rate": 1e-05,
|
880 |
-
"loss": 0.
|
881 |
"step": 3525
|
882 |
},
|
883 |
{
|
884 |
-
"epoch":
|
885 |
"learning_rate": 1e-05,
|
886 |
-
"loss": 0.
|
887 |
"step": 3550
|
888 |
},
|
889 |
{
|
890 |
-
"epoch":
|
891 |
"learning_rate": 1e-05,
|
892 |
-
"loss": 0.
|
893 |
"step": 3575
|
894 |
},
|
895 |
{
|
896 |
-
"epoch":
|
897 |
"learning_rate": 1e-05,
|
898 |
-
"loss": 0.
|
899 |
"step": 3600
|
900 |
},
|
901 |
{
|
902 |
-
"epoch":
|
903 |
"learning_rate": 1e-05,
|
904 |
-
"loss": 0.
|
905 |
"step": 3625
|
906 |
},
|
907 |
{
|
908 |
-
"epoch":
|
909 |
"learning_rate": 1e-05,
|
910 |
-
"loss": 0.
|
911 |
"step": 3650
|
912 |
},
|
913 |
{
|
914 |
-
"epoch":
|
915 |
"learning_rate": 1e-05,
|
916 |
-
"loss": 0.
|
917 |
"step": 3675
|
918 |
},
|
919 |
{
|
920 |
-
"epoch":
|
921 |
"learning_rate": 1e-05,
|
922 |
-
"loss": 0.
|
923 |
"step": 3700
|
924 |
},
|
925 |
{
|
926 |
-
"epoch":
|
927 |
"learning_rate": 1e-05,
|
928 |
-
"loss": 0.
|
929 |
"step": 3725
|
930 |
},
|
931 |
{
|
932 |
-
"epoch":
|
933 |
"learning_rate": 1e-05,
|
934 |
-
"loss": 0.
|
935 |
"step": 3750
|
936 |
},
|
937 |
{
|
938 |
-
"epoch":
|
939 |
"learning_rate": 1e-05,
|
940 |
-
"loss": 0.
|
941 |
"step": 3775
|
942 |
},
|
943 |
{
|
944 |
-
"epoch":
|
945 |
"learning_rate": 1e-05,
|
946 |
-
"loss": 0.
|
947 |
"step": 3800
|
948 |
},
|
949 |
{
|
950 |
-
"epoch":
|
951 |
"learning_rate": 1e-05,
|
952 |
-
"loss": 0.
|
953 |
"step": 3825
|
954 |
},
|
955 |
{
|
956 |
-
"epoch":
|
957 |
"learning_rate": 1e-05,
|
958 |
-
"loss": 0.
|
959 |
"step": 3850
|
960 |
},
|
961 |
{
|
962 |
-
"epoch":
|
963 |
"learning_rate": 1e-05,
|
964 |
-
"loss": 0.
|
965 |
"step": 3875
|
966 |
},
|
967 |
{
|
968 |
-
"epoch":
|
969 |
"learning_rate": 1e-05,
|
970 |
-
"loss": 0.
|
971 |
"step": 3900
|
972 |
},
|
973 |
{
|
974 |
-
"epoch":
|
975 |
"learning_rate": 1e-05,
|
976 |
-
"loss": 0.
|
977 |
"step": 3925
|
978 |
},
|
979 |
{
|
980 |
-
"epoch":
|
981 |
"learning_rate": 1e-05,
|
982 |
-
"loss": 0.
|
983 |
"step": 3950
|
984 |
},
|
985 |
{
|
986 |
-
"epoch":
|
987 |
"learning_rate": 1e-05,
|
988 |
-
"loss": 0.
|
989 |
"step": 3975
|
990 |
},
|
991 |
{
|
992 |
-
"epoch":
|
993 |
"learning_rate": 1e-05,
|
994 |
-
"loss": 0.
|
995 |
"step": 4000
|
996 |
},
|
997 |
{
|
998 |
-
"epoch":
|
999 |
-
"eval_loss": 0.
|
1000 |
-
"eval_runtime":
|
1001 |
-
"eval_samples_per_second": 1.
|
1002 |
-
"eval_steps_per_second": 0.
|
1003 |
-
"eval_wer":
|
1004 |
"step": 4000
|
1005 |
},
|
1006 |
{
|
1007 |
-
"epoch":
|
1008 |
"learning_rate": 1e-05,
|
1009 |
-
"loss": 0.
|
1010 |
"step": 4025
|
1011 |
},
|
1012 |
{
|
1013 |
-
"epoch":
|
1014 |
"learning_rate": 1e-05,
|
1015 |
-
"loss": 0.
|
1016 |
"step": 4050
|
1017 |
},
|
1018 |
{
|
1019 |
-
"epoch":
|
1020 |
"learning_rate": 1e-05,
|
1021 |
-
"loss": 0.
|
1022 |
"step": 4075
|
1023 |
},
|
1024 |
{
|
1025 |
-
"epoch":
|
1026 |
"learning_rate": 1e-05,
|
1027 |
-
"loss": 0.
|
1028 |
"step": 4100
|
1029 |
},
|
1030 |
{
|
1031 |
-
"epoch":
|
1032 |
"learning_rate": 1e-05,
|
1033 |
-
"loss": 0.
|
1034 |
"step": 4125
|
1035 |
},
|
1036 |
{
|
1037 |
-
"epoch":
|
1038 |
"learning_rate": 1e-05,
|
1039 |
-
"loss": 0.
|
1040 |
"step": 4150
|
1041 |
},
|
1042 |
{
|
1043 |
-
"epoch":
|
1044 |
"learning_rate": 1e-05,
|
1045 |
"loss": 0.0,
|
1046 |
"step": 4175
|
1047 |
},
|
1048 |
{
|
1049 |
-
"epoch":
|
1050 |
"learning_rate": 1e-05,
|
1051 |
"loss": 0.0,
|
1052 |
"step": 4200
|
1053 |
},
|
1054 |
{
|
1055 |
-
"epoch":
|
1056 |
"learning_rate": 1e-05,
|
1057 |
"loss": 0.0,
|
1058 |
"step": 4225
|
1059 |
},
|
1060 |
{
|
1061 |
-
"epoch":
|
1062 |
"learning_rate": 1e-05,
|
1063 |
"loss": 0.0,
|
1064 |
"step": 4250
|
1065 |
},
|
1066 |
{
|
1067 |
-
"epoch":
|
1068 |
"learning_rate": 1e-05,
|
1069 |
"loss": 0.0,
|
1070 |
"step": 4275
|
1071 |
},
|
1072 |
{
|
1073 |
-
"epoch":
|
1074 |
"learning_rate": 1e-05,
|
1075 |
"loss": 0.0,
|
1076 |
"step": 4300
|
1077 |
},
|
1078 |
{
|
1079 |
-
"epoch":
|
1080 |
"learning_rate": 1e-05,
|
1081 |
"loss": 0.0,
|
1082 |
"step": 4325
|
1083 |
},
|
1084 |
{
|
1085 |
-
"epoch":
|
1086 |
"learning_rate": 1e-05,
|
1087 |
"loss": 0.0,
|
1088 |
"step": 4350
|
1089 |
},
|
1090 |
{
|
1091 |
-
"epoch":
|
1092 |
"learning_rate": 1e-05,
|
1093 |
"loss": 0.0,
|
1094 |
"step": 4375
|
1095 |
},
|
1096 |
{
|
1097 |
-
"epoch":
|
1098 |
"learning_rate": 1e-05,
|
1099 |
"loss": 0.0,
|
1100 |
"step": 4400
|
1101 |
},
|
1102 |
{
|
1103 |
-
"epoch":
|
1104 |
"learning_rate": 1e-05,
|
1105 |
"loss": 0.0,
|
1106 |
"step": 4425
|
1107 |
},
|
1108 |
{
|
1109 |
-
"epoch":
|
1110 |
"learning_rate": 1e-05,
|
1111 |
"loss": 0.0,
|
1112 |
"step": 4450
|
1113 |
},
|
1114 |
{
|
1115 |
-
"epoch":
|
1116 |
"learning_rate": 1e-05,
|
1117 |
"loss": 0.0,
|
1118 |
"step": 4475
|
1119 |
},
|
1120 |
{
|
1121 |
-
"epoch":
|
1122 |
"learning_rate": 1e-05,
|
1123 |
"loss": 0.0,
|
1124 |
"step": 4500
|
1125 |
},
|
1126 |
{
|
1127 |
-
"epoch":
|
1128 |
"learning_rate": 1e-05,
|
1129 |
"loss": 0.0,
|
1130 |
"step": 4525
|
1131 |
},
|
1132 |
{
|
1133 |
-
"epoch":
|
1134 |
"learning_rate": 1e-05,
|
1135 |
"loss": 0.0,
|
1136 |
"step": 4550
|
1137 |
},
|
1138 |
{
|
1139 |
-
"epoch":
|
1140 |
"learning_rate": 1e-05,
|
1141 |
"loss": 0.0,
|
1142 |
"step": 4575
|
1143 |
},
|
1144 |
{
|
1145 |
-
"epoch":
|
1146 |
"learning_rate": 1e-05,
|
1147 |
"loss": 0.0,
|
1148 |
"step": 4600
|
1149 |
},
|
1150 |
{
|
1151 |
-
"epoch":
|
1152 |
"learning_rate": 1e-05,
|
1153 |
"loss": 0.0,
|
1154 |
"step": 4625
|
1155 |
},
|
1156 |
{
|
1157 |
-
"epoch":
|
1158 |
"learning_rate": 1e-05,
|
1159 |
"loss": 0.0,
|
1160 |
"step": 4650
|
1161 |
},
|
1162 |
{
|
1163 |
-
"epoch":
|
1164 |
"learning_rate": 1e-05,
|
1165 |
"loss": 0.0,
|
1166 |
"step": 4675
|
1167 |
},
|
1168 |
{
|
1169 |
-
"epoch":
|
1170 |
"learning_rate": 1e-05,
|
1171 |
"loss": 0.0,
|
1172 |
"step": 4700
|
1173 |
},
|
1174 |
{
|
1175 |
-
"epoch":
|
1176 |
"learning_rate": 1e-05,
|
1177 |
"loss": 0.0,
|
1178 |
"step": 4725
|
1179 |
},
|
1180 |
{
|
1181 |
-
"epoch":
|
1182 |
"learning_rate": 1e-05,
|
1183 |
"loss": 0.0,
|
1184 |
"step": 4750
|
1185 |
},
|
1186 |
{
|
1187 |
-
"epoch":
|
1188 |
"learning_rate": 1e-05,
|
1189 |
"loss": 0.0,
|
1190 |
"step": 4775
|
1191 |
},
|
1192 |
{
|
1193 |
-
"epoch":
|
1194 |
"learning_rate": 1e-05,
|
1195 |
"loss": 0.0,
|
1196 |
"step": 4800
|
1197 |
},
|
1198 |
{
|
1199 |
-
"epoch":
|
1200 |
"learning_rate": 1e-05,
|
1201 |
"loss": 0.0,
|
1202 |
"step": 4825
|
1203 |
},
|
1204 |
{
|
1205 |
-
"epoch":
|
1206 |
"learning_rate": 1e-05,
|
1207 |
"loss": 0.0,
|
1208 |
"step": 4850
|
1209 |
},
|
1210 |
{
|
1211 |
-
"epoch":
|
1212 |
"learning_rate": 1e-05,
|
1213 |
"loss": 0.0,
|
1214 |
"step": 4875
|
1215 |
},
|
1216 |
{
|
1217 |
-
"epoch":
|
1218 |
"learning_rate": 1e-05,
|
1219 |
"loss": 0.0,
|
1220 |
"step": 4900
|
1221 |
},
|
1222 |
{
|
1223 |
-
"epoch":
|
1224 |
"learning_rate": 1e-05,
|
1225 |
"loss": 0.0,
|
1226 |
"step": 4925
|
1227 |
},
|
1228 |
{
|
1229 |
-
"epoch":
|
1230 |
"learning_rate": 1e-05,
|
1231 |
"loss": 0.0,
|
1232 |
"step": 4950
|
1233 |
},
|
1234 |
{
|
1235 |
-
"epoch":
|
1236 |
"learning_rate": 1e-05,
|
1237 |
"loss": 0.0,
|
1238 |
"step": 4975
|
1239 |
},
|
1240 |
{
|
1241 |
-
"epoch":
|
1242 |
"learning_rate": 1e-05,
|
1243 |
"loss": 0.0,
|
1244 |
"step": 5000
|
1245 |
},
|
1246 |
{
|
1247 |
-
"epoch":
|
1248 |
-
"eval_loss": 0.
|
1249 |
-
"eval_runtime":
|
1250 |
-
"eval_samples_per_second": 1.
|
1251 |
-
"eval_steps_per_second": 0.
|
1252 |
-
"eval_wer":
|
1253 |
"step": 5000
|
1254 |
},
|
1255 |
{
|
1256 |
-
"epoch":
|
1257 |
"learning_rate": 1e-05,
|
1258 |
"loss": 0.0,
|
1259 |
"step": 5025
|
1260 |
},
|
1261 |
{
|
1262 |
-
"epoch":
|
1263 |
"learning_rate": 1e-05,
|
1264 |
"loss": 0.0,
|
1265 |
"step": 5050
|
1266 |
},
|
1267 |
{
|
1268 |
-
"epoch":
|
1269 |
"learning_rate": 1e-05,
|
1270 |
"loss": 0.0,
|
1271 |
"step": 5075
|
1272 |
},
|
1273 |
{
|
1274 |
-
"epoch":
|
1275 |
"learning_rate": 1e-05,
|
1276 |
"loss": 0.0,
|
1277 |
"step": 5100
|
1278 |
},
|
1279 |
{
|
1280 |
-
"epoch":
|
1281 |
"learning_rate": 1e-05,
|
1282 |
"loss": 0.0,
|
1283 |
"step": 5125
|
1284 |
},
|
1285 |
{
|
1286 |
-
"epoch":
|
1287 |
"learning_rate": 1e-05,
|
1288 |
"loss": 0.0,
|
1289 |
"step": 5150
|
1290 |
},
|
1291 |
{
|
1292 |
-
"epoch":
|
1293 |
"learning_rate": 1e-05,
|
1294 |
"loss": 0.0,
|
1295 |
"step": 5175
|
1296 |
},
|
1297 |
{
|
1298 |
-
"epoch":
|
1299 |
"learning_rate": 1e-05,
|
1300 |
"loss": 0.0,
|
1301 |
"step": 5200
|
1302 |
},
|
1303 |
{
|
1304 |
-
"epoch":
|
1305 |
"learning_rate": 1e-05,
|
1306 |
"loss": 0.0,
|
1307 |
"step": 5225
|
1308 |
},
|
1309 |
{
|
1310 |
-
"epoch":
|
1311 |
"learning_rate": 1e-05,
|
1312 |
"loss": 0.0,
|
1313 |
"step": 5250
|
1314 |
},
|
1315 |
{
|
1316 |
-
"epoch":
|
1317 |
"learning_rate": 1e-05,
|
1318 |
"loss": 0.0,
|
1319 |
"step": 5275
|
1320 |
},
|
1321 |
{
|
1322 |
-
"epoch":
|
1323 |
"learning_rate": 1e-05,
|
1324 |
"loss": 0.0,
|
1325 |
"step": 5300
|
1326 |
},
|
1327 |
{
|
1328 |
-
"epoch":
|
1329 |
"learning_rate": 1e-05,
|
1330 |
"loss": 0.0,
|
1331 |
"step": 5325
|
1332 |
},
|
1333 |
{
|
1334 |
-
"epoch":
|
1335 |
"learning_rate": 1e-05,
|
1336 |
"loss": 0.0,
|
1337 |
"step": 5350
|
1338 |
},
|
1339 |
{
|
1340 |
-
"epoch":
|
1341 |
"learning_rate": 1e-05,
|
1342 |
"loss": 0.0,
|
1343 |
"step": 5375
|
1344 |
},
|
1345 |
{
|
1346 |
-
"epoch":
|
1347 |
"learning_rate": 1e-05,
|
1348 |
"loss": 0.0,
|
1349 |
"step": 5400
|
1350 |
},
|
1351 |
{
|
1352 |
-
"epoch":
|
1353 |
"learning_rate": 1e-05,
|
1354 |
"loss": 0.0,
|
1355 |
"step": 5425
|
1356 |
},
|
1357 |
{
|
1358 |
-
"epoch":
|
1359 |
"learning_rate": 1e-05,
|
1360 |
"loss": 0.0,
|
1361 |
"step": 5450
|
1362 |
},
|
1363 |
{
|
1364 |
-
"epoch":
|
1365 |
"learning_rate": 1e-05,
|
1366 |
"loss": 0.0,
|
1367 |
"step": 5475
|
1368 |
},
|
1369 |
{
|
1370 |
-
"epoch":
|
1371 |
"learning_rate": 1e-05,
|
1372 |
"loss": 0.0,
|
1373 |
"step": 5500
|
1374 |
},
|
1375 |
{
|
1376 |
-
"epoch":
|
1377 |
"learning_rate": 1e-05,
|
1378 |
"loss": 0.0,
|
1379 |
"step": 5525
|
1380 |
},
|
1381 |
{
|
1382 |
-
"epoch":
|
1383 |
"learning_rate": 1e-05,
|
1384 |
"loss": 0.0,
|
1385 |
"step": 5550
|
1386 |
},
|
1387 |
{
|
1388 |
-
"epoch":
|
1389 |
"learning_rate": 1e-05,
|
1390 |
"loss": 0.0,
|
1391 |
"step": 5575
|
1392 |
},
|
1393 |
{
|
1394 |
-
"epoch":
|
1395 |
"learning_rate": 1e-05,
|
1396 |
"loss": 0.0,
|
1397 |
"step": 5600
|
1398 |
},
|
1399 |
{
|
1400 |
-
"epoch":
|
1401 |
"learning_rate": 1e-05,
|
1402 |
"loss": 0.0,
|
1403 |
"step": 5625
|
1404 |
},
|
1405 |
{
|
1406 |
-
"epoch":
|
1407 |
"learning_rate": 1e-05,
|
1408 |
"loss": 0.0,
|
1409 |
"step": 5650
|
1410 |
},
|
1411 |
{
|
1412 |
-
"epoch":
|
1413 |
"learning_rate": 1e-05,
|
1414 |
"loss": 0.0,
|
1415 |
"step": 5675
|
1416 |
},
|
1417 |
{
|
1418 |
-
"epoch":
|
1419 |
"learning_rate": 1e-05,
|
1420 |
"loss": 0.0,
|
1421 |
"step": 5700
|
1422 |
},
|
1423 |
{
|
1424 |
-
"epoch":
|
1425 |
"learning_rate": 1e-05,
|
1426 |
"loss": 0.0,
|
1427 |
"step": 5725
|
1428 |
},
|
1429 |
{
|
1430 |
-
"epoch":
|
1431 |
"learning_rate": 1e-05,
|
1432 |
"loss": 0.0,
|
1433 |
"step": 5750
|
1434 |
},
|
1435 |
{
|
1436 |
-
"epoch":
|
1437 |
"learning_rate": 1e-05,
|
1438 |
"loss": 0.0,
|
1439 |
"step": 5775
|
1440 |
},
|
1441 |
{
|
1442 |
-
"epoch":
|
1443 |
"learning_rate": 1e-05,
|
1444 |
"loss": 0.0,
|
1445 |
"step": 5800
|
1446 |
},
|
1447 |
{
|
1448 |
-
"epoch":
|
1449 |
"learning_rate": 1e-05,
|
1450 |
"loss": 0.0,
|
1451 |
"step": 5825
|
1452 |
},
|
1453 |
{
|
1454 |
-
"epoch":
|
1455 |
"learning_rate": 1e-05,
|
1456 |
"loss": 0.0,
|
1457 |
"step": 5850
|
1458 |
},
|
1459 |
{
|
1460 |
-
"epoch":
|
1461 |
"learning_rate": 1e-05,
|
1462 |
"loss": 0.0,
|
1463 |
"step": 5875
|
1464 |
},
|
1465 |
{
|
1466 |
-
"epoch":
|
1467 |
"learning_rate": 1e-05,
|
1468 |
"loss": 0.0,
|
1469 |
"step": 5900
|
1470 |
},
|
1471 |
{
|
1472 |
-
"epoch":
|
1473 |
"learning_rate": 1e-05,
|
1474 |
"loss": 0.0,
|
1475 |
"step": 5925
|
1476 |
},
|
1477 |
{
|
1478 |
-
"epoch":
|
1479 |
"learning_rate": 1e-05,
|
1480 |
"loss": 0.0,
|
1481 |
"step": 5950
|
1482 |
},
|
1483 |
{
|
1484 |
-
"epoch":
|
1485 |
"learning_rate": 1e-05,
|
1486 |
"loss": 0.0,
|
1487 |
"step": 5975
|
1488 |
},
|
1489 |
{
|
1490 |
-
"epoch":
|
1491 |
"learning_rate": 1e-05,
|
1492 |
"loss": 0.0,
|
1493 |
"step": 6000
|
1494 |
},
|
1495 |
{
|
1496 |
-
"epoch":
|
1497 |
-
"eval_loss":
|
1498 |
-
"eval_runtime":
|
1499 |
-
"eval_samples_per_second": 1.
|
1500 |
-
"eval_steps_per_second": 0.
|
1501 |
-
"eval_wer":
|
1502 |
"step": 6000
|
1503 |
},
|
1504 |
{
|
1505 |
-
"epoch":
|
1506 |
"learning_rate": 1e-05,
|
1507 |
"loss": 0.0,
|
1508 |
"step": 6025
|
1509 |
},
|
1510 |
{
|
1511 |
-
"epoch":
|
1512 |
"learning_rate": 1e-05,
|
1513 |
"loss": 0.0,
|
1514 |
"step": 6050
|
1515 |
},
|
1516 |
{
|
1517 |
-
"epoch":
|
1518 |
"learning_rate": 1e-05,
|
1519 |
"loss": 0.0,
|
1520 |
"step": 6075
|
1521 |
},
|
1522 |
{
|
1523 |
-
"epoch":
|
1524 |
"learning_rate": 1e-05,
|
1525 |
"loss": 0.0,
|
1526 |
"step": 6100
|
1527 |
},
|
1528 |
{
|
1529 |
-
"epoch":
|
1530 |
"learning_rate": 1e-05,
|
1531 |
"loss": 0.0,
|
1532 |
"step": 6125
|
1533 |
},
|
1534 |
{
|
1535 |
-
"epoch":
|
1536 |
"learning_rate": 1e-05,
|
1537 |
"loss": 0.0,
|
1538 |
"step": 6150
|
1539 |
},
|
1540 |
{
|
1541 |
-
"epoch":
|
1542 |
"learning_rate": 1e-05,
|
1543 |
"loss": 0.0,
|
1544 |
"step": 6175
|
1545 |
},
|
1546 |
{
|
1547 |
-
"epoch":
|
1548 |
"learning_rate": 1e-05,
|
1549 |
"loss": 0.0,
|
1550 |
"step": 6200
|
1551 |
},
|
1552 |
{
|
1553 |
-
"epoch":
|
1554 |
"learning_rate": 1e-05,
|
1555 |
"loss": 0.0,
|
1556 |
"step": 6225
|
1557 |
},
|
1558 |
{
|
1559 |
-
"epoch":
|
1560 |
"learning_rate": 1e-05,
|
1561 |
"loss": 0.0,
|
1562 |
"step": 6250
|
1563 |
},
|
1564 |
{
|
1565 |
-
"epoch":
|
1566 |
"learning_rate": 1e-05,
|
1567 |
"loss": 0.0,
|
1568 |
"step": 6275
|
1569 |
},
|
1570 |
{
|
1571 |
-
"epoch":
|
1572 |
"learning_rate": 1e-05,
|
1573 |
"loss": 0.0,
|
1574 |
"step": 6300
|
1575 |
},
|
1576 |
{
|
1577 |
-
"epoch":
|
1578 |
"learning_rate": 1e-05,
|
1579 |
"loss": 0.0,
|
1580 |
"step": 6325
|
1581 |
},
|
1582 |
{
|
1583 |
-
"epoch":
|
1584 |
"learning_rate": 1e-05,
|
1585 |
"loss": 0.0,
|
1586 |
"step": 6350
|
1587 |
},
|
1588 |
{
|
1589 |
-
"epoch":
|
1590 |
"learning_rate": 1e-05,
|
1591 |
"loss": 0.0,
|
1592 |
"step": 6375
|
1593 |
},
|
1594 |
{
|
1595 |
-
"epoch":
|
1596 |
"learning_rate": 1e-05,
|
1597 |
"loss": 0.0,
|
1598 |
"step": 6400
|
1599 |
},
|
1600 |
{
|
1601 |
-
"epoch":
|
1602 |
"learning_rate": 1e-05,
|
1603 |
"loss": 0.0,
|
1604 |
"step": 6425
|
1605 |
},
|
1606 |
{
|
1607 |
-
"epoch":
|
1608 |
"learning_rate": 1e-05,
|
1609 |
"loss": 0.0,
|
1610 |
"step": 6450
|
1611 |
},
|
1612 |
{
|
1613 |
-
"epoch":
|
1614 |
"learning_rate": 1e-05,
|
1615 |
"loss": 0.0,
|
1616 |
"step": 6475
|
1617 |
},
|
1618 |
{
|
1619 |
-
"epoch":
|
1620 |
"learning_rate": 1e-05,
|
1621 |
"loss": 0.0,
|
1622 |
"step": 6500
|
1623 |
},
|
1624 |
{
|
1625 |
-
"epoch":
|
1626 |
"learning_rate": 1e-05,
|
1627 |
"loss": 0.0,
|
1628 |
"step": 6525
|
1629 |
},
|
1630 |
{
|
1631 |
-
"epoch":
|
1632 |
"learning_rate": 1e-05,
|
1633 |
"loss": 0.0,
|
1634 |
"step": 6550
|
1635 |
},
|
1636 |
{
|
1637 |
-
"epoch":
|
1638 |
"learning_rate": 1e-05,
|
1639 |
"loss": 0.0,
|
1640 |
"step": 6575
|
1641 |
},
|
1642 |
{
|
1643 |
-
"epoch":
|
1644 |
"learning_rate": 1e-05,
|
1645 |
"loss": 0.0,
|
1646 |
"step": 6600
|
1647 |
},
|
1648 |
{
|
1649 |
-
"epoch":
|
1650 |
"learning_rate": 1e-05,
|
1651 |
"loss": 0.0,
|
1652 |
"step": 6625
|
1653 |
},
|
1654 |
{
|
1655 |
-
"epoch":
|
1656 |
"learning_rate": 1e-05,
|
1657 |
"loss": 0.0,
|
1658 |
"step": 6650
|
1659 |
},
|
1660 |
{
|
1661 |
-
"epoch":
|
1662 |
"learning_rate": 1e-05,
|
1663 |
"loss": 0.0,
|
1664 |
"step": 6675
|
1665 |
},
|
1666 |
{
|
1667 |
-
"epoch":
|
1668 |
"learning_rate": 1e-05,
|
1669 |
"loss": 0.0,
|
1670 |
"step": 6700
|
1671 |
},
|
1672 |
{
|
1673 |
-
"epoch":
|
1674 |
"learning_rate": 1e-05,
|
1675 |
"loss": 0.0,
|
1676 |
"step": 6725
|
1677 |
},
|
1678 |
{
|
1679 |
-
"epoch":
|
1680 |
"learning_rate": 1e-05,
|
1681 |
"loss": 0.0,
|
1682 |
"step": 6750
|
1683 |
},
|
1684 |
{
|
1685 |
-
"epoch":
|
1686 |
"learning_rate": 1e-05,
|
1687 |
"loss": 0.0,
|
1688 |
"step": 6775
|
1689 |
},
|
1690 |
{
|
1691 |
-
"epoch":
|
1692 |
"learning_rate": 1e-05,
|
1693 |
"loss": 0.0,
|
1694 |
"step": 6800
|
1695 |
},
|
1696 |
{
|
1697 |
-
"epoch":
|
1698 |
"learning_rate": 1e-05,
|
1699 |
"loss": 0.0,
|
1700 |
"step": 6825
|
1701 |
},
|
1702 |
{
|
1703 |
-
"epoch":
|
1704 |
"learning_rate": 1e-05,
|
1705 |
"loss": 0.0,
|
1706 |
"step": 6850
|
1707 |
},
|
1708 |
{
|
1709 |
-
"epoch":
|
1710 |
"learning_rate": 1e-05,
|
1711 |
"loss": 0.0,
|
1712 |
"step": 6875
|
1713 |
},
|
1714 |
{
|
1715 |
-
"epoch":
|
1716 |
"learning_rate": 1e-05,
|
1717 |
"loss": 0.0,
|
1718 |
"step": 6900
|
1719 |
},
|
1720 |
{
|
1721 |
-
"epoch":
|
1722 |
"learning_rate": 1e-05,
|
1723 |
"loss": 0.0,
|
1724 |
"step": 6925
|
1725 |
},
|
1726 |
{
|
1727 |
-
"epoch":
|
1728 |
"learning_rate": 1e-05,
|
1729 |
"loss": 0.0,
|
1730 |
"step": 6950
|
1731 |
},
|
1732 |
{
|
1733 |
-
"epoch":
|
1734 |
"learning_rate": 1e-05,
|
1735 |
"loss": 0.0,
|
1736 |
"step": 6975
|
1737 |
},
|
1738 |
{
|
1739 |
-
"epoch":
|
1740 |
"learning_rate": 1e-05,
|
1741 |
"loss": 0.0,
|
1742 |
"step": 7000
|
1743 |
},
|
1744 |
{
|
1745 |
-
"epoch":
|
1746 |
-
"eval_loss":
|
1747 |
-
"eval_runtime":
|
1748 |
-
"eval_samples_per_second": 1.
|
1749 |
-
"eval_steps_per_second": 0.
|
1750 |
-
"eval_wer":
|
1751 |
"step": 7000
|
1752 |
},
|
1753 |
{
|
1754 |
-
"epoch":
|
1755 |
"learning_rate": 1e-05,
|
1756 |
"loss": 0.0,
|
1757 |
"step": 7025
|
1758 |
},
|
1759 |
{
|
1760 |
-
"epoch":
|
1761 |
"learning_rate": 1e-05,
|
1762 |
"loss": 0.0,
|
1763 |
"step": 7050
|
1764 |
},
|
1765 |
{
|
1766 |
-
"epoch":
|
1767 |
"learning_rate": 1e-05,
|
1768 |
"loss": 0.0,
|
1769 |
"step": 7075
|
1770 |
},
|
1771 |
{
|
1772 |
-
"epoch":
|
1773 |
"learning_rate": 1e-05,
|
1774 |
"loss": 0.0,
|
1775 |
"step": 7100
|
1776 |
},
|
1777 |
{
|
1778 |
-
"epoch":
|
1779 |
"learning_rate": 1e-05,
|
1780 |
"loss": 0.0,
|
1781 |
"step": 7125
|
1782 |
},
|
1783 |
{
|
1784 |
-
"epoch":
|
1785 |
"learning_rate": 1e-05,
|
1786 |
"loss": 0.0,
|
1787 |
"step": 7150
|
1788 |
},
|
1789 |
{
|
1790 |
-
"epoch":
|
1791 |
"learning_rate": 1e-05,
|
1792 |
"loss": 0.0,
|
1793 |
"step": 7175
|
1794 |
},
|
1795 |
{
|
1796 |
-
"epoch":
|
1797 |
"learning_rate": 1e-05,
|
1798 |
"loss": 0.0,
|
1799 |
"step": 7200
|
1800 |
},
|
1801 |
{
|
1802 |
-
"epoch":
|
1803 |
"learning_rate": 1e-05,
|
1804 |
"loss": 0.0,
|
1805 |
"step": 7225
|
1806 |
},
|
1807 |
{
|
1808 |
-
"epoch":
|
1809 |
"learning_rate": 1e-05,
|
1810 |
"loss": 0.0,
|
1811 |
"step": 7250
|
1812 |
},
|
1813 |
{
|
1814 |
-
"epoch":
|
1815 |
"learning_rate": 1e-05,
|
1816 |
"loss": 0.0,
|
1817 |
"step": 7275
|
1818 |
},
|
1819 |
{
|
1820 |
-
"epoch":
|
1821 |
"learning_rate": 1e-05,
|
1822 |
"loss": 0.0,
|
1823 |
"step": 7300
|
1824 |
},
|
1825 |
{
|
1826 |
-
"epoch":
|
1827 |
"learning_rate": 1e-05,
|
1828 |
"loss": 0.0,
|
1829 |
"step": 7325
|
1830 |
},
|
1831 |
{
|
1832 |
-
"epoch":
|
1833 |
"learning_rate": 1e-05,
|
1834 |
"loss": 0.0,
|
1835 |
"step": 7350
|
1836 |
},
|
1837 |
{
|
1838 |
-
"epoch":
|
1839 |
"learning_rate": 1e-05,
|
1840 |
"loss": 0.0,
|
1841 |
"step": 7375
|
1842 |
},
|
1843 |
{
|
1844 |
-
"epoch":
|
1845 |
"learning_rate": 1e-05,
|
1846 |
"loss": 0.0,
|
1847 |
"step": 7400
|
1848 |
},
|
1849 |
{
|
1850 |
-
"epoch":
|
1851 |
"learning_rate": 1e-05,
|
1852 |
"loss": 0.0,
|
1853 |
"step": 7425
|
1854 |
},
|
1855 |
{
|
1856 |
-
"epoch":
|
1857 |
"learning_rate": 1e-05,
|
1858 |
"loss": 0.0,
|
1859 |
"step": 7450
|
1860 |
},
|
1861 |
{
|
1862 |
-
"epoch":
|
1863 |
"learning_rate": 1e-05,
|
1864 |
"loss": 0.0,
|
1865 |
"step": 7475
|
1866 |
},
|
1867 |
{
|
1868 |
-
"epoch":
|
1869 |
"learning_rate": 1e-05,
|
1870 |
"loss": 0.0,
|
1871 |
"step": 7500
|
1872 |
},
|
1873 |
{
|
1874 |
-
"epoch":
|
1875 |
"learning_rate": 1e-05,
|
1876 |
"loss": 0.0,
|
1877 |
"step": 7525
|
1878 |
},
|
1879 |
{
|
1880 |
-
"epoch":
|
1881 |
"learning_rate": 1e-05,
|
1882 |
"loss": 0.0,
|
1883 |
"step": 7550
|
1884 |
},
|
1885 |
{
|
1886 |
-
"epoch":
|
1887 |
"learning_rate": 1e-05,
|
1888 |
"loss": 0.0,
|
1889 |
"step": 7575
|
1890 |
},
|
1891 |
{
|
1892 |
-
"epoch":
|
1893 |
"learning_rate": 1e-05,
|
1894 |
"loss": 0.0,
|
1895 |
"step": 7600
|
1896 |
},
|
1897 |
{
|
1898 |
-
"epoch":
|
1899 |
"learning_rate": 1e-05,
|
1900 |
"loss": 0.0,
|
1901 |
"step": 7625
|
1902 |
},
|
1903 |
{
|
1904 |
-
"epoch":
|
1905 |
"learning_rate": 1e-05,
|
1906 |
"loss": 0.0,
|
1907 |
"step": 7650
|
1908 |
},
|
1909 |
{
|
1910 |
-
"epoch":
|
1911 |
"learning_rate": 1e-05,
|
1912 |
"loss": 0.0,
|
1913 |
"step": 7675
|
1914 |
},
|
1915 |
{
|
1916 |
-
"epoch":
|
1917 |
"learning_rate": 1e-05,
|
1918 |
"loss": 0.0,
|
1919 |
"step": 7700
|
1920 |
},
|
1921 |
{
|
1922 |
-
"epoch":
|
1923 |
"learning_rate": 1e-05,
|
1924 |
"loss": 0.0,
|
1925 |
"step": 7725
|
1926 |
},
|
1927 |
{
|
1928 |
-
"epoch":
|
1929 |
"learning_rate": 1e-05,
|
1930 |
"loss": 0.0,
|
1931 |
"step": 7750
|
1932 |
},
|
1933 |
{
|
1934 |
-
"epoch":
|
1935 |
"learning_rate": 1e-05,
|
1936 |
"loss": 0.0,
|
1937 |
"step": 7775
|
1938 |
},
|
1939 |
{
|
1940 |
-
"epoch":
|
1941 |
"learning_rate": 1e-05,
|
1942 |
"loss": 0.0,
|
1943 |
"step": 7800
|
1944 |
},
|
1945 |
{
|
1946 |
-
"epoch":
|
1947 |
"learning_rate": 1e-05,
|
1948 |
"loss": 0.0,
|
1949 |
"step": 7825
|
1950 |
},
|
1951 |
{
|
1952 |
-
"epoch":
|
1953 |
"learning_rate": 1e-05,
|
1954 |
"loss": 0.0,
|
1955 |
"step": 7850
|
1956 |
},
|
1957 |
{
|
1958 |
-
"epoch":
|
1959 |
"learning_rate": 1e-05,
|
1960 |
"loss": 0.0,
|
1961 |
"step": 7875
|
1962 |
},
|
1963 |
{
|
1964 |
-
"epoch":
|
1965 |
"learning_rate": 1e-05,
|
1966 |
"loss": 0.0,
|
1967 |
"step": 7900
|
1968 |
},
|
1969 |
{
|
1970 |
-
"epoch":
|
1971 |
"learning_rate": 1e-05,
|
1972 |
"loss": 0.0,
|
1973 |
"step": 7925
|
1974 |
},
|
1975 |
{
|
1976 |
-
"epoch":
|
1977 |
"learning_rate": 1e-05,
|
1978 |
"loss": 0.0,
|
1979 |
"step": 7950
|
1980 |
},
|
1981 |
{
|
1982 |
-
"epoch":
|
1983 |
"learning_rate": 1e-05,
|
1984 |
"loss": 0.0,
|
1985 |
"step": 7975
|
1986 |
},
|
1987 |
{
|
1988 |
-
"epoch":
|
1989 |
"learning_rate": 1e-05,
|
1990 |
"loss": 0.0,
|
1991 |
"step": 8000
|
1992 |
},
|
1993 |
{
|
1994 |
-
"epoch":
|
1995 |
-
"eval_loss":
|
1996 |
-
"eval_runtime":
|
1997 |
-
"eval_samples_per_second": 1.
|
1998 |
-
"eval_steps_per_second": 0.
|
1999 |
-
"eval_wer":
|
2000 |
"step": 8000
|
2001 |
},
|
2002 |
{
|
2003 |
-
"epoch":
|
2004 |
"learning_rate": 1e-05,
|
2005 |
"loss": 0.0,
|
2006 |
"step": 8025
|
2007 |
},
|
2008 |
{
|
2009 |
-
"epoch":
|
2010 |
"learning_rate": 1e-05,
|
2011 |
"loss": 0.0,
|
2012 |
"step": 8050
|
2013 |
},
|
2014 |
{
|
2015 |
-
"epoch":
|
2016 |
"learning_rate": 1e-05,
|
2017 |
"loss": 0.0,
|
2018 |
"step": 8075
|
2019 |
},
|
2020 |
{
|
2021 |
-
"epoch":
|
2022 |
"learning_rate": 1e-05,
|
2023 |
"loss": 0.0,
|
2024 |
"step": 8100
|
2025 |
},
|
2026 |
{
|
2027 |
-
"epoch":
|
2028 |
"learning_rate": 1e-05,
|
2029 |
"loss": 0.0,
|
2030 |
"step": 8125
|
2031 |
},
|
2032 |
{
|
2033 |
-
"epoch":
|
2034 |
"learning_rate": 1e-05,
|
2035 |
"loss": 0.0,
|
2036 |
"step": 8150
|
2037 |
},
|
2038 |
{
|
2039 |
-
"epoch":
|
2040 |
"learning_rate": 1e-05,
|
2041 |
"loss": 0.0,
|
2042 |
"step": 8175
|
2043 |
},
|
2044 |
{
|
2045 |
-
"epoch":
|
2046 |
"learning_rate": 1e-05,
|
2047 |
"loss": 0.0,
|
2048 |
"step": 8200
|
2049 |
},
|
2050 |
{
|
2051 |
-
"epoch":
|
2052 |
"learning_rate": 1e-05,
|
2053 |
"loss": 0.0,
|
2054 |
"step": 8225
|
2055 |
},
|
2056 |
{
|
2057 |
-
"epoch":
|
2058 |
"learning_rate": 1e-05,
|
2059 |
"loss": 0.0,
|
2060 |
"step": 8250
|
2061 |
},
|
2062 |
{
|
2063 |
-
"epoch":
|
2064 |
"learning_rate": 1e-05,
|
2065 |
"loss": 0.0,
|
2066 |
"step": 8275
|
2067 |
},
|
2068 |
{
|
2069 |
-
"epoch":
|
2070 |
"learning_rate": 1e-05,
|
2071 |
"loss": 0.0,
|
2072 |
"step": 8300
|
2073 |
},
|
2074 |
{
|
2075 |
-
"epoch":
|
2076 |
"learning_rate": 1e-05,
|
2077 |
"loss": 0.0,
|
2078 |
"step": 8325
|
2079 |
},
|
2080 |
{
|
2081 |
-
"epoch":
|
2082 |
"learning_rate": 1e-05,
|
2083 |
"loss": 0.0,
|
2084 |
"step": 8350
|
2085 |
},
|
2086 |
{
|
2087 |
-
"epoch":
|
2088 |
"learning_rate": 1e-05,
|
2089 |
"loss": 0.0,
|
2090 |
"step": 8375
|
2091 |
},
|
2092 |
{
|
2093 |
-
"epoch":
|
2094 |
"learning_rate": 1e-05,
|
2095 |
"loss": 0.0,
|
2096 |
"step": 8400
|
2097 |
},
|
2098 |
{
|
2099 |
-
"epoch":
|
2100 |
"learning_rate": 1e-05,
|
2101 |
"loss": 0.0,
|
2102 |
"step": 8425
|
2103 |
},
|
2104 |
{
|
2105 |
-
"epoch":
|
2106 |
"learning_rate": 1e-05,
|
2107 |
"loss": 0.0,
|
2108 |
"step": 8450
|
2109 |
},
|
2110 |
{
|
2111 |
-
"epoch":
|
2112 |
"learning_rate": 1e-05,
|
2113 |
"loss": 0.0,
|
2114 |
"step": 8475
|
2115 |
},
|
2116 |
{
|
2117 |
-
"epoch":
|
2118 |
"learning_rate": 1e-05,
|
2119 |
"loss": 0.0,
|
2120 |
"step": 8500
|
2121 |
},
|
2122 |
{
|
2123 |
-
"epoch":
|
2124 |
"learning_rate": 1e-05,
|
2125 |
"loss": 0.0,
|
2126 |
"step": 8525
|
2127 |
},
|
2128 |
{
|
2129 |
-
"epoch":
|
2130 |
"learning_rate": 1e-05,
|
2131 |
"loss": 0.0,
|
2132 |
"step": 8550
|
2133 |
},
|
2134 |
{
|
2135 |
-
"epoch":
|
2136 |
"learning_rate": 1e-05,
|
2137 |
"loss": 0.0,
|
2138 |
"step": 8575
|
2139 |
},
|
2140 |
{
|
2141 |
-
"epoch":
|
2142 |
"learning_rate": 1e-05,
|
2143 |
"loss": 0.0,
|
2144 |
"step": 8600
|
2145 |
},
|
2146 |
{
|
2147 |
-
"epoch":
|
2148 |
"learning_rate": 1e-05,
|
2149 |
"loss": 0.0,
|
2150 |
"step": 8625
|
2151 |
},
|
2152 |
{
|
2153 |
-
"epoch":
|
2154 |
"learning_rate": 1e-05,
|
2155 |
"loss": 0.0,
|
2156 |
"step": 8650
|
2157 |
},
|
2158 |
{
|
2159 |
-
"epoch":
|
2160 |
"learning_rate": 1e-05,
|
2161 |
"loss": 0.0,
|
2162 |
"step": 8675
|
2163 |
},
|
2164 |
{
|
2165 |
-
"epoch":
|
2166 |
"learning_rate": 1e-05,
|
2167 |
"loss": 0.0,
|
2168 |
"step": 8700
|
2169 |
},
|
2170 |
{
|
2171 |
-
"epoch":
|
2172 |
"learning_rate": 1e-05,
|
2173 |
"loss": 0.0,
|
2174 |
"step": 8725
|
2175 |
},
|
2176 |
{
|
2177 |
-
"epoch":
|
2178 |
"learning_rate": 1e-05,
|
2179 |
"loss": 0.0,
|
2180 |
"step": 8750
|
2181 |
},
|
2182 |
{
|
2183 |
-
"epoch":
|
2184 |
"learning_rate": 1e-05,
|
2185 |
"loss": 0.0,
|
2186 |
"step": 8775
|
2187 |
},
|
2188 |
{
|
2189 |
-
"epoch":
|
2190 |
"learning_rate": 1e-05,
|
2191 |
"loss": 0.0,
|
2192 |
"step": 8800
|
2193 |
},
|
2194 |
{
|
2195 |
-
"epoch":
|
2196 |
"learning_rate": 1e-05,
|
2197 |
"loss": 0.0,
|
2198 |
"step": 8825
|
2199 |
},
|
2200 |
{
|
2201 |
-
"epoch":
|
2202 |
"learning_rate": 1e-05,
|
2203 |
"loss": 0.0,
|
2204 |
"step": 8850
|
2205 |
},
|
2206 |
{
|
2207 |
-
"epoch":
|
2208 |
"learning_rate": 1e-05,
|
2209 |
"loss": 0.0,
|
2210 |
"step": 8875
|
2211 |
},
|
2212 |
{
|
2213 |
-
"epoch":
|
2214 |
"learning_rate": 1e-05,
|
2215 |
"loss": 0.0,
|
2216 |
"step": 8900
|
2217 |
},
|
2218 |
{
|
2219 |
-
"epoch":
|
2220 |
"learning_rate": 1e-05,
|
2221 |
"loss": 0.0,
|
2222 |
"step": 8925
|
2223 |
},
|
2224 |
{
|
2225 |
-
"epoch":
|
2226 |
"learning_rate": 1e-05,
|
2227 |
"loss": 0.0,
|
2228 |
"step": 8950
|
2229 |
},
|
2230 |
{
|
2231 |
-
"epoch":
|
2232 |
"learning_rate": 1e-05,
|
2233 |
"loss": 0.0,
|
2234 |
"step": 8975
|
2235 |
},
|
2236 |
{
|
2237 |
-
"epoch":
|
2238 |
"learning_rate": 1e-05,
|
2239 |
"loss": 0.0,
|
2240 |
"step": 9000
|
2241 |
},
|
2242 |
{
|
2243 |
-
"epoch":
|
2244 |
-
"eval_loss":
|
2245 |
-
"eval_runtime":
|
2246 |
-
"eval_samples_per_second": 1.
|
2247 |
-
"eval_steps_per_second": 0.
|
2248 |
-
"eval_wer":
|
2249 |
"step": 9000
|
2250 |
},
|
2251 |
{
|
2252 |
-
"epoch":
|
2253 |
"learning_rate": 1e-05,
|
2254 |
"loss": 0.0,
|
2255 |
"step": 9025
|
2256 |
},
|
2257 |
{
|
2258 |
-
"epoch":
|
2259 |
"learning_rate": 1e-05,
|
2260 |
"loss": 0.0,
|
2261 |
"step": 9050
|
2262 |
},
|
2263 |
{
|
2264 |
-
"epoch":
|
2265 |
"learning_rate": 1e-05,
|
2266 |
"loss": 0.0,
|
2267 |
"step": 9075
|
2268 |
},
|
2269 |
{
|
2270 |
-
"epoch":
|
2271 |
"learning_rate": 1e-05,
|
2272 |
"loss": 0.0,
|
2273 |
"step": 9100
|
2274 |
},
|
2275 |
{
|
2276 |
-
"epoch":
|
2277 |
"learning_rate": 1e-05,
|
2278 |
"loss": 0.0,
|
2279 |
"step": 9125
|
2280 |
},
|
2281 |
{
|
2282 |
-
"epoch":
|
2283 |
"learning_rate": 1e-05,
|
2284 |
"loss": 0.0,
|
2285 |
"step": 9150
|
2286 |
},
|
2287 |
{
|
2288 |
-
"epoch":
|
2289 |
"learning_rate": 1e-05,
|
2290 |
"loss": 0.0,
|
2291 |
"step": 9175
|
2292 |
},
|
2293 |
{
|
2294 |
-
"epoch":
|
2295 |
"learning_rate": 1e-05,
|
2296 |
"loss": 0.0,
|
2297 |
"step": 9200
|
2298 |
},
|
2299 |
{
|
2300 |
-
"epoch":
|
2301 |
"learning_rate": 1e-05,
|
2302 |
"loss": 0.0,
|
2303 |
"step": 9225
|
2304 |
},
|
2305 |
{
|
2306 |
-
"epoch":
|
2307 |
"learning_rate": 1e-05,
|
2308 |
"loss": 0.0,
|
2309 |
"step": 9250
|
2310 |
},
|
2311 |
{
|
2312 |
-
"epoch":
|
2313 |
"learning_rate": 1e-05,
|
2314 |
"loss": 0.0,
|
2315 |
"step": 9275
|
2316 |
},
|
2317 |
{
|
2318 |
-
"epoch":
|
2319 |
"learning_rate": 1e-05,
|
2320 |
"loss": 0.0,
|
2321 |
"step": 9300
|
2322 |
},
|
2323 |
{
|
2324 |
-
"epoch":
|
2325 |
"learning_rate": 1e-05,
|
2326 |
"loss": 0.0,
|
2327 |
"step": 9325
|
2328 |
},
|
2329 |
{
|
2330 |
-
"epoch":
|
2331 |
"learning_rate": 1e-05,
|
2332 |
"loss": 0.0,
|
2333 |
"step": 9350
|
2334 |
},
|
2335 |
{
|
2336 |
-
"epoch":
|
2337 |
"learning_rate": 1e-05,
|
2338 |
"loss": 0.0,
|
2339 |
"step": 9375
|
2340 |
},
|
2341 |
{
|
2342 |
-
"epoch":
|
2343 |
"learning_rate": 1e-05,
|
2344 |
"loss": 0.0,
|
2345 |
"step": 9400
|
2346 |
},
|
2347 |
{
|
2348 |
-
"epoch":
|
2349 |
"learning_rate": 1e-05,
|
2350 |
"loss": 0.0,
|
2351 |
"step": 9425
|
2352 |
},
|
2353 |
{
|
2354 |
-
"epoch":
|
2355 |
"learning_rate": 1e-05,
|
2356 |
"loss": 0.0,
|
2357 |
"step": 9450
|
2358 |
},
|
2359 |
{
|
2360 |
-
"epoch":
|
2361 |
"learning_rate": 1e-05,
|
2362 |
"loss": 0.0,
|
2363 |
"step": 9475
|
2364 |
},
|
2365 |
{
|
2366 |
-
"epoch":
|
2367 |
"learning_rate": 1e-05,
|
2368 |
"loss": 0.0,
|
2369 |
"step": 9500
|
2370 |
},
|
2371 |
{
|
2372 |
-
"epoch":
|
2373 |
"learning_rate": 1e-05,
|
2374 |
"loss": 0.0,
|
2375 |
"step": 9525
|
2376 |
},
|
2377 |
{
|
2378 |
-
"epoch":
|
2379 |
"learning_rate": 1e-05,
|
2380 |
"loss": 0.0,
|
2381 |
"step": 9550
|
2382 |
},
|
2383 |
{
|
2384 |
-
"epoch":
|
2385 |
"learning_rate": 1e-05,
|
2386 |
"loss": 0.0,
|
2387 |
"step": 9575
|
2388 |
},
|
2389 |
{
|
2390 |
-
"epoch":
|
2391 |
"learning_rate": 1e-05,
|
2392 |
"loss": 0.0,
|
2393 |
"step": 9600
|
2394 |
},
|
2395 |
{
|
2396 |
-
"epoch":
|
2397 |
"learning_rate": 1e-05,
|
2398 |
"loss": 0.0,
|
2399 |
"step": 9625
|
2400 |
},
|
2401 |
{
|
2402 |
-
"epoch":
|
2403 |
"learning_rate": 1e-05,
|
2404 |
"loss": 0.0,
|
2405 |
"step": 9650
|
2406 |
},
|
2407 |
{
|
2408 |
-
"epoch":
|
2409 |
"learning_rate": 1e-05,
|
2410 |
"loss": 0.0,
|
2411 |
"step": 9675
|
2412 |
},
|
2413 |
{
|
2414 |
-
"epoch":
|
2415 |
"learning_rate": 1e-05,
|
2416 |
"loss": 0.0,
|
2417 |
"step": 9700
|
2418 |
},
|
2419 |
{
|
2420 |
-
"epoch":
|
2421 |
"learning_rate": 1e-05,
|
2422 |
"loss": 0.0,
|
2423 |
"step": 9725
|
2424 |
},
|
2425 |
{
|
2426 |
-
"epoch":
|
2427 |
"learning_rate": 1e-05,
|
2428 |
"loss": 0.0,
|
2429 |
"step": 9750
|
2430 |
},
|
2431 |
{
|
2432 |
-
"epoch":
|
2433 |
"learning_rate": 1e-05,
|
2434 |
"loss": 0.0,
|
2435 |
"step": 9775
|
2436 |
},
|
2437 |
{
|
2438 |
-
"epoch":
|
2439 |
"learning_rate": 1e-05,
|
2440 |
"loss": 0.0,
|
2441 |
"step": 9800
|
2442 |
},
|
2443 |
{
|
2444 |
-
"epoch":
|
2445 |
"learning_rate": 1e-05,
|
2446 |
"loss": 0.0,
|
2447 |
"step": 9825
|
2448 |
},
|
2449 |
{
|
2450 |
-
"epoch":
|
2451 |
"learning_rate": 1e-05,
|
2452 |
"loss": 0.0,
|
2453 |
"step": 9850
|
2454 |
},
|
2455 |
{
|
2456 |
-
"epoch":
|
2457 |
"learning_rate": 1e-05,
|
2458 |
"loss": 0.0,
|
2459 |
"step": 9875
|
2460 |
},
|
2461 |
{
|
2462 |
-
"epoch":
|
2463 |
"learning_rate": 1e-05,
|
2464 |
"loss": 0.0,
|
2465 |
"step": 9900
|
2466 |
},
|
2467 |
{
|
2468 |
-
"epoch":
|
2469 |
"learning_rate": 1e-05,
|
2470 |
"loss": 0.0,
|
2471 |
"step": 9925
|
2472 |
},
|
2473 |
{
|
2474 |
-
"epoch":
|
2475 |
"learning_rate": 1e-05,
|
2476 |
"loss": 0.0,
|
2477 |
"step": 9950
|
2478 |
},
|
2479 |
{
|
2480 |
-
"epoch":
|
2481 |
"learning_rate": 1e-05,
|
2482 |
"loss": 0.0,
|
2483 |
"step": 9975
|
2484 |
},
|
2485 |
{
|
2486 |
-
"epoch":
|
2487 |
"learning_rate": 1e-05,
|
2488 |
"loss": 0.0,
|
2489 |
"step": 10000
|
2490 |
},
|
2491 |
{
|
2492 |
-
"epoch":
|
2493 |
-
"eval_loss":
|
2494 |
-
"eval_runtime":
|
2495 |
-
"eval_samples_per_second": 1.
|
2496 |
-
"eval_steps_per_second": 0.
|
2497 |
-
"eval_wer":
|
2498 |
"step": 10000
|
2499 |
},
|
2500 |
{
|
2501 |
-
"epoch":
|
2502 |
"step": 10000,
|
2503 |
-
"total_flos": 4.
|
2504 |
-
"train_loss": 0.
|
2505 |
-
"train_runtime":
|
2506 |
-
"train_samples_per_second": 3.
|
2507 |
-
"train_steps_per_second": 0.
|
2508 |
}
|
2509 |
],
|
2510 |
"max_steps": 10000,
|
2511 |
"num_train_epochs": 9223372036854775807,
|
2512 |
-
"total_flos": 4.
|
2513 |
"trial_name": null,
|
2514 |
"trial_params": null
|
2515 |
}
|
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
+
"epoch": 526.0006,
|
5 |
"global_step": 10000,
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
9 |
"log_history": [
|
10 |
{
|
11 |
+
"epoch": 1.0,
|
12 |
"learning_rate": 2.2e-06,
|
13 |
+
"loss": 0.8195,
|
14 |
"step": 25
|
15 |
},
|
16 |
{
|
17 |
+
"epoch": 2.0,
|
18 |
"learning_rate": 4.7e-06,
|
19 |
+
"loss": 0.4651,
|
20 |
"step": 50
|
21 |
},
|
22 |
{
|
23 |
+
"epoch": 3.0,
|
24 |
"learning_rate": 7.2000000000000005e-06,
|
25 |
+
"loss": 0.2247,
|
26 |
"step": 75
|
27 |
},
|
28 |
{
|
29 |
+
"epoch": 5.0,
|
30 |
"learning_rate": 9.7e-06,
|
31 |
+
"loss": 0.0939,
|
32 |
"step": 100
|
33 |
},
|
34 |
{
|
35 |
+
"epoch": 6.0,
|
36 |
"learning_rate": 1e-05,
|
37 |
+
"loss": 0.0326,
|
38 |
"step": 125
|
39 |
},
|
40 |
{
|
41 |
+
"epoch": 7.0,
|
42 |
"learning_rate": 1e-05,
|
43 |
+
"loss": 0.0193,
|
44 |
"step": 150
|
45 |
},
|
46 |
{
|
47 |
+
"epoch": 9.0,
|
48 |
"learning_rate": 1e-05,
|
49 |
+
"loss": 0.0172,
|
50 |
"step": 175
|
51 |
},
|
52 |
{
|
53 |
+
"epoch": 10.0,
|
54 |
"learning_rate": 1e-05,
|
55 |
+
"loss": 0.0147,
|
56 |
"step": 200
|
57 |
},
|
58 |
{
|
59 |
+
"epoch": 11.0,
|
60 |
"learning_rate": 1e-05,
|
61 |
+
"loss": 0.0061,
|
62 |
"step": 225
|
63 |
},
|
64 |
{
|
65 |
+
"epoch": 13.0,
|
66 |
"learning_rate": 1e-05,
|
67 |
+
"loss": 0.0048,
|
68 |
"step": 250
|
69 |
},
|
70 |
{
|
71 |
+
"epoch": 14.0,
|
72 |
"learning_rate": 1e-05,
|
73 |
+
"loss": 0.002,
|
74 |
"step": 275
|
75 |
},
|
76 |
{
|
77 |
+
"epoch": 15.0,
|
78 |
"learning_rate": 1e-05,
|
79 |
+
"loss": 0.0016,
|
80 |
"step": 300
|
81 |
},
|
82 |
{
|
83 |
+
"epoch": 17.0,
|
84 |
"learning_rate": 1e-05,
|
85 |
+
"loss": 0.0025,
|
86 |
"step": 325
|
87 |
},
|
88 |
{
|
89 |
+
"epoch": 18.0,
|
90 |
"learning_rate": 1e-05,
|
91 |
+
"loss": 0.0007,
|
92 |
"step": 350
|
93 |
},
|
94 |
{
|
95 |
+
"epoch": 19.0,
|
96 |
"learning_rate": 1e-05,
|
97 |
+
"loss": 0.0013,
|
98 |
"step": 375
|
99 |
},
|
100 |
{
|
101 |
+
"epoch": 21.0,
|
102 |
"learning_rate": 1e-05,
|
103 |
+
"loss": 0.0029,
|
104 |
"step": 400
|
105 |
},
|
106 |
{
|
107 |
+
"epoch": 22.0,
|
108 |
"learning_rate": 1e-05,
|
109 |
+
"loss": 0.0012,
|
110 |
"step": 425
|
111 |
},
|
112 |
{
|
113 |
+
"epoch": 23.0,
|
114 |
"learning_rate": 1e-05,
|
115 |
+
"loss": 0.0007,
|
116 |
"step": 450
|
117 |
},
|
118 |
{
|
119 |
+
"epoch": 24.0,
|
120 |
"learning_rate": 1e-05,
|
121 |
+
"loss": 0.0015,
|
122 |
"step": 475
|
123 |
},
|
124 |
{
|
125 |
+
"epoch": 26.0,
|
126 |
"learning_rate": 1e-05,
|
127 |
+
"loss": 0.0007,
|
128 |
"step": 500
|
129 |
},
|
130 |
{
|
131 |
+
"epoch": 27.0,
|
132 |
"learning_rate": 1e-05,
|
133 |
+
"loss": 0.0005,
|
134 |
"step": 525
|
135 |
},
|
136 |
{
|
137 |
+
"epoch": 28.0,
|
138 |
"learning_rate": 1e-05,
|
139 |
+
"loss": 0.002,
|
140 |
"step": 550
|
141 |
},
|
142 |
{
|
143 |
+
"epoch": 30.0,
|
144 |
"learning_rate": 1e-05,
|
145 |
+
"loss": 0.0005,
|
146 |
"step": 575
|
147 |
},
|
148 |
{
|
149 |
+
"epoch": 31.0,
|
150 |
"learning_rate": 1e-05,
|
151 |
+
"loss": 0.0011,
|
152 |
"step": 600
|
153 |
},
|
154 |
{
|
155 |
+
"epoch": 32.0,
|
156 |
"learning_rate": 1e-05,
|
157 |
+
"loss": 0.0006,
|
158 |
"step": 625
|
159 |
},
|
160 |
{
|
161 |
+
"epoch": 34.0,
|
162 |
"learning_rate": 1e-05,
|
163 |
+
"loss": 0.0005,
|
164 |
"step": 650
|
165 |
},
|
166 |
{
|
167 |
+
"epoch": 35.0,
|
168 |
"learning_rate": 1e-05,
|
169 |
+
"loss": 0.0007,
|
170 |
"step": 675
|
171 |
},
|
172 |
{
|
173 |
+
"epoch": 36.0,
|
174 |
"learning_rate": 1e-05,
|
175 |
+
"loss": 0.0002,
|
176 |
"step": 700
|
177 |
},
|
178 |
{
|
179 |
+
"epoch": 38.0,
|
180 |
"learning_rate": 1e-05,
|
181 |
+
"loss": 0.0011,
|
182 |
"step": 725
|
183 |
},
|
184 |
{
|
185 |
+
"epoch": 39.0,
|
186 |
"learning_rate": 1e-05,
|
187 |
+
"loss": 0.0003,
|
188 |
"step": 750
|
189 |
},
|
190 |
{
|
191 |
+
"epoch": 40.0,
|
192 |
"learning_rate": 1e-05,
|
193 |
+
"loss": 0.0003,
|
194 |
"step": 775
|
195 |
},
|
196 |
{
|
197 |
+
"epoch": 42.0,
|
198 |
"learning_rate": 1e-05,
|
199 |
+
"loss": 0.0002,
|
200 |
"step": 800
|
201 |
},
|
202 |
{
|
203 |
+
"epoch": 43.0,
|
204 |
"learning_rate": 1e-05,
|
205 |
+
"loss": 0.0003,
|
206 |
"step": 825
|
207 |
},
|
208 |
{
|
209 |
+
"epoch": 44.0,
|
210 |
"learning_rate": 1e-05,
|
211 |
+
"loss": 0.0012,
|
212 |
"step": 850
|
213 |
},
|
214 |
{
|
215 |
+
"epoch": 46.0,
|
216 |
"learning_rate": 1e-05,
|
217 |
+
"loss": 0.0003,
|
218 |
"step": 875
|
219 |
},
|
220 |
{
|
221 |
+
"epoch": 47.0,
|
222 |
"learning_rate": 1e-05,
|
223 |
+
"loss": 0.0003,
|
224 |
"step": 900
|
225 |
},
|
226 |
{
|
227 |
+
"epoch": 48.0,
|
228 |
"learning_rate": 1e-05,
|
229 |
+
"loss": 0.0007,
|
230 |
"step": 925
|
231 |
},
|
232 |
{
|
233 |
+
"epoch": 49.0,
|
234 |
"learning_rate": 1e-05,
|
235 |
+
"loss": 0.0005,
|
236 |
"step": 950
|
237 |
},
|
238 |
{
|
239 |
+
"epoch": 51.0,
|
240 |
"learning_rate": 1e-05,
|
241 |
+
"loss": 0.0002,
|
242 |
"step": 975
|
243 |
},
|
244 |
{
|
245 |
+
"epoch": 52.0,
|
246 |
"learning_rate": 1e-05,
|
247 |
+
"loss": 0.0003,
|
248 |
"step": 1000
|
249 |
},
|
250 |
{
|
251 |
+
"epoch": 52.0,
|
252 |
+
"eval_loss": 0.8052706718444824,
|
253 |
+
"eval_runtime": 21.0944,
|
254 |
+
"eval_samples_per_second": 1.564,
|
255 |
+
"eval_steps_per_second": 0.237,
|
256 |
+
"eval_wer": 28.84097035040431,
|
257 |
"step": 1000
|
258 |
},
|
259 |
{
|
260 |
+
"epoch": 53.0,
|
261 |
"learning_rate": 1e-05,
|
262 |
+
"loss": 0.0001,
|
263 |
"step": 1025
|
264 |
},
|
265 |
{
|
266 |
+
"epoch": 55.0,
|
267 |
"learning_rate": 1e-05,
|
268 |
+
"loss": 0.0001,
|
269 |
"step": 1050
|
270 |
},
|
271 |
{
|
272 |
+
"epoch": 56.0,
|
273 |
"learning_rate": 1e-05,
|
274 |
+
"loss": 0.0001,
|
275 |
"step": 1075
|
276 |
},
|
277 |
{
|
278 |
+
"epoch": 57.0,
|
279 |
"learning_rate": 1e-05,
|
280 |
+
"loss": 0.0001,
|
281 |
"step": 1100
|
282 |
},
|
283 |
{
|
284 |
+
"epoch": 59.0,
|
285 |
"learning_rate": 1e-05,
|
286 |
+
"loss": 0.0001,
|
287 |
"step": 1125
|
288 |
},
|
289 |
{
|
290 |
+
"epoch": 60.0,
|
291 |
"learning_rate": 1e-05,
|
292 |
+
"loss": 0.0001,
|
293 |
"step": 1150
|
294 |
},
|
295 |
{
|
296 |
+
"epoch": 61.0,
|
297 |
"learning_rate": 1e-05,
|
298 |
+
"loss": 0.0001,
|
299 |
"step": 1175
|
300 |
},
|
301 |
{
|
302 |
+
"epoch": 63.0,
|
303 |
"learning_rate": 1e-05,
|
304 |
+
"loss": 0.0001,
|
305 |
"step": 1200
|
306 |
},
|
307 |
{
|
308 |
+
"epoch": 64.0,
|
309 |
"learning_rate": 1e-05,
|
310 |
+
"loss": 0.0001,
|
311 |
"step": 1225
|
312 |
},
|
313 |
{
|
314 |
+
"epoch": 65.0,
|
315 |
"learning_rate": 1e-05,
|
316 |
+
"loss": 0.0001,
|
317 |
"step": 1250
|
318 |
},
|
319 |
{
|
320 |
+
"epoch": 67.0,
|
321 |
"learning_rate": 1e-05,
|
322 |
+
"loss": 0.0001,
|
323 |
"step": 1275
|
324 |
},
|
325 |
{
|
326 |
+
"epoch": 68.0,
|
327 |
"learning_rate": 1e-05,
|
328 |
+
"loss": 0.0001,
|
329 |
"step": 1300
|
330 |
},
|
331 |
{
|
332 |
+
"epoch": 69.0,
|
333 |
"learning_rate": 1e-05,
|
334 |
+
"loss": 0.0001,
|
335 |
"step": 1325
|
336 |
},
|
337 |
{
|
338 |
+
"epoch": 71.0,
|
339 |
"learning_rate": 1e-05,
|
340 |
+
"loss": 0.0001,
|
341 |
"step": 1350
|
342 |
},
|
343 |
{
|
344 |
+
"epoch": 72.0,
|
345 |
"learning_rate": 1e-05,
|
346 |
+
"loss": 0.0001,
|
347 |
"step": 1375
|
348 |
},
|
349 |
{
|
350 |
+
"epoch": 73.0,
|
351 |
"learning_rate": 1e-05,
|
352 |
+
"loss": 0.0001,
|
353 |
"step": 1400
|
354 |
},
|
355 |
{
|
356 |
+
"epoch": 74.0,
|
357 |
"learning_rate": 1e-05,
|
358 |
+
"loss": 0.0001,
|
359 |
"step": 1425
|
360 |
},
|
361 |
{
|
362 |
+
"epoch": 76.0,
|
363 |
"learning_rate": 1e-05,
|
364 |
+
"loss": 0.0001,
|
365 |
"step": 1450
|
366 |
},
|
367 |
{
|
368 |
+
"epoch": 77.0,
|
369 |
"learning_rate": 1e-05,
|
370 |
+
"loss": 0.0001,
|
371 |
"step": 1475
|
372 |
},
|
373 |
{
|
374 |
+
"epoch": 78.0,
|
375 |
"learning_rate": 1e-05,
|
376 |
+
"loss": 0.0001,
|
377 |
"step": 1500
|
378 |
},
|
379 |
{
|
380 |
+
"epoch": 80.0,
|
381 |
"learning_rate": 1e-05,
|
382 |
+
"loss": 0.0001,
|
383 |
"step": 1525
|
384 |
},
|
385 |
{
|
386 |
+
"epoch": 81.0,
|
387 |
"learning_rate": 1e-05,
|
388 |
+
"loss": 0.0001,
|
389 |
"step": 1550
|
390 |
},
|
391 |
{
|
392 |
+
"epoch": 82.0,
|
393 |
"learning_rate": 1e-05,
|
394 |
+
"loss": 0.0001,
|
395 |
"step": 1575
|
396 |
},
|
397 |
{
|
398 |
+
"epoch": 84.0,
|
399 |
"learning_rate": 1e-05,
|
400 |
+
"loss": 0.0001,
|
401 |
"step": 1600
|
402 |
},
|
403 |
{
|
404 |
+
"epoch": 85.0,
|
405 |
"learning_rate": 1e-05,
|
406 |
+
"loss": 0.0001,
|
407 |
"step": 1625
|
408 |
},
|
409 |
{
|
410 |
+
"epoch": 86.0,
|
411 |
"learning_rate": 1e-05,
|
412 |
+
"loss": 0.0001,
|
413 |
"step": 1650
|
414 |
},
|
415 |
{
|
416 |
+
"epoch": 88.0,
|
417 |
"learning_rate": 1e-05,
|
418 |
+
"loss": 0.0001,
|
419 |
"step": 1675
|
420 |
},
|
421 |
{
|
422 |
+
"epoch": 89.0,
|
423 |
"learning_rate": 1e-05,
|
424 |
+
"loss": 0.0001,
|
425 |
"step": 1700
|
426 |
},
|
427 |
{
|
428 |
+
"epoch": 90.0,
|
429 |
"learning_rate": 1e-05,
|
430 |
+
"loss": 0.0001,
|
431 |
"step": 1725
|
432 |
},
|
433 |
{
|
434 |
+
"epoch": 92.0,
|
435 |
"learning_rate": 1e-05,
|
436 |
+
"loss": 0.0001,
|
437 |
"step": 1750
|
438 |
},
|
439 |
{
|
440 |
+
"epoch": 93.0,
|
441 |
"learning_rate": 1e-05,
|
442 |
+
"loss": 0.0001,
|
443 |
"step": 1775
|
444 |
},
|
445 |
{
|
446 |
+
"epoch": 94.0,
|
447 |
"learning_rate": 1e-05,
|
448 |
+
"loss": 0.0001,
|
449 |
"step": 1800
|
450 |
},
|
451 |
{
|
452 |
+
"epoch": 96.0,
|
453 |
"learning_rate": 1e-05,
|
454 |
+
"loss": 0.0001,
|
455 |
"step": 1825
|
456 |
},
|
457 |
{
|
458 |
+
"epoch": 97.0,
|
459 |
"learning_rate": 1e-05,
|
460 |
+
"loss": 0.0,
|
461 |
"step": 1850
|
462 |
},
|
463 |
{
|
464 |
+
"epoch": 98.0,
|
465 |
"learning_rate": 1e-05,
|
466 |
+
"loss": 0.0,
|
467 |
"step": 1875
|
468 |
},
|
469 |
{
|
470 |
+
"epoch": 99.0,
|
471 |
"learning_rate": 1e-05,
|
472 |
+
"loss": 0.0,
|
473 |
"step": 1900
|
474 |
},
|
475 |
{
|
476 |
+
"epoch": 101.0,
|
477 |
"learning_rate": 1e-05,
|
478 |
+
"loss": 0.0,
|
479 |
"step": 1925
|
480 |
},
|
481 |
{
|
482 |
+
"epoch": 102.0,
|
483 |
"learning_rate": 1e-05,
|
484 |
+
"loss": 0.0,
|
485 |
"step": 1950
|
486 |
},
|
487 |
{
|
488 |
+
"epoch": 103.0,
|
489 |
"learning_rate": 1e-05,
|
490 |
+
"loss": 0.0,
|
491 |
"step": 1975
|
492 |
},
|
493 |
{
|
494 |
+
"epoch": 105.0,
|
495 |
"learning_rate": 1e-05,
|
496 |
+
"loss": 0.0,
|
497 |
"step": 2000
|
498 |
},
|
499 |
{
|
500 |
+
"epoch": 105.0,
|
501 |
+
"eval_loss": 0.8635554909706116,
|
502 |
+
"eval_runtime": 18.7113,
|
503 |
+
"eval_samples_per_second": 1.764,
|
504 |
+
"eval_steps_per_second": 0.267,
|
505 |
+
"eval_wer": 28.57142857142857,
|
506 |
"step": 2000
|
507 |
},
|
508 |
{
|
509 |
+
"epoch": 106.0,
|
510 |
"learning_rate": 1e-05,
|
511 |
+
"loss": 0.0,
|
512 |
"step": 2025
|
513 |
},
|
514 |
{
|
515 |
+
"epoch": 107.0,
|
516 |
"learning_rate": 1e-05,
|
517 |
+
"loss": 0.0,
|
518 |
"step": 2050
|
519 |
},
|
520 |
{
|
521 |
+
"epoch": 109.0,
|
522 |
"learning_rate": 1e-05,
|
523 |
+
"loss": 0.0,
|
524 |
"step": 2075
|
525 |
},
|
526 |
{
|
527 |
+
"epoch": 110.0,
|
528 |
"learning_rate": 1e-05,
|
529 |
+
"loss": 0.0,
|
530 |
"step": 2100
|
531 |
},
|
532 |
{
|
533 |
+
"epoch": 111.0,
|
534 |
"learning_rate": 1e-05,
|
535 |
+
"loss": 0.0,
|
536 |
"step": 2125
|
537 |
},
|
538 |
{
|
539 |
+
"epoch": 113.0,
|
540 |
"learning_rate": 1e-05,
|
541 |
+
"loss": 0.0,
|
542 |
"step": 2150
|
543 |
},
|
544 |
{
|
545 |
+
"epoch": 114.0,
|
546 |
"learning_rate": 1e-05,
|
547 |
+
"loss": 0.0,
|
548 |
"step": 2175
|
549 |
},
|
550 |
{
|
551 |
+
"epoch": 115.0,
|
552 |
"learning_rate": 1e-05,
|
553 |
+
"loss": 0.0,
|
554 |
"step": 2200
|
555 |
},
|
556 |
{
|
557 |
+
"epoch": 117.0,
|
558 |
"learning_rate": 1e-05,
|
559 |
+
"loss": 0.0,
|
560 |
"step": 2225
|
561 |
},
|
562 |
{
|
563 |
+
"epoch": 118.0,
|
564 |
"learning_rate": 1e-05,
|
565 |
+
"loss": 0.0,
|
566 |
"step": 2250
|
567 |
},
|
568 |
{
|
569 |
+
"epoch": 119.0,
|
570 |
"learning_rate": 1e-05,
|
571 |
+
"loss": 0.0,
|
572 |
"step": 2275
|
573 |
},
|
574 |
{
|
575 |
+
"epoch": 121.0,
|
576 |
"learning_rate": 1e-05,
|
577 |
+
"loss": 0.0,
|
578 |
"step": 2300
|
579 |
},
|
580 |
{
|
581 |
+
"epoch": 122.0,
|
582 |
"learning_rate": 1e-05,
|
583 |
+
"loss": 0.0,
|
584 |
"step": 2325
|
585 |
},
|
586 |
{
|
587 |
+
"epoch": 123.0,
|
588 |
"learning_rate": 1e-05,
|
589 |
+
"loss": 0.0,
|
590 |
"step": 2350
|
591 |
},
|
592 |
{
|
593 |
+
"epoch": 124.0,
|
594 |
"learning_rate": 1e-05,
|
595 |
+
"loss": 0.0,
|
596 |
"step": 2375
|
597 |
},
|
598 |
{
|
599 |
+
"epoch": 126.0,
|
600 |
"learning_rate": 1e-05,
|
601 |
+
"loss": 0.0,
|
602 |
"step": 2400
|
603 |
},
|
604 |
{
|
605 |
+
"epoch": 127.0,
|
606 |
"learning_rate": 1e-05,
|
607 |
+
"loss": 0.0,
|
608 |
"step": 2425
|
609 |
},
|
610 |
{
|
611 |
+
"epoch": 128.0,
|
612 |
"learning_rate": 1e-05,
|
613 |
+
"loss": 0.0,
|
614 |
"step": 2450
|
615 |
},
|
616 |
{
|
617 |
+
"epoch": 130.0,
|
618 |
"learning_rate": 1e-05,
|
619 |
+
"loss": 0.0,
|
620 |
"step": 2475
|
621 |
},
|
622 |
{
|
623 |
+
"epoch": 131.0,
|
624 |
"learning_rate": 1e-05,
|
625 |
+
"loss": 0.0,
|
626 |
"step": 2500
|
627 |
},
|
628 |
{
|
629 |
+
"epoch": 132.0,
|
630 |
"learning_rate": 1e-05,
|
631 |
+
"loss": 0.0,
|
632 |
"step": 2525
|
633 |
},
|
634 |
{
|
635 |
+
"epoch": 134.0,
|
636 |
"learning_rate": 1e-05,
|
637 |
+
"loss": 0.0,
|
638 |
"step": 2550
|
639 |
},
|
640 |
{
|
641 |
+
"epoch": 135.0,
|
642 |
"learning_rate": 1e-05,
|
643 |
+
"loss": 0.0,
|
644 |
"step": 2575
|
645 |
},
|
646 |
{
|
647 |
+
"epoch": 136.0,
|
648 |
"learning_rate": 1e-05,
|
649 |
+
"loss": 0.0,
|
650 |
"step": 2600
|
651 |
},
|
652 |
{
|
653 |
+
"epoch": 138.0,
|
654 |
"learning_rate": 1e-05,
|
655 |
+
"loss": 0.0,
|
656 |
"step": 2625
|
657 |
},
|
658 |
{
|
659 |
+
"epoch": 139.0,
|
660 |
"learning_rate": 1e-05,
|
661 |
+
"loss": 0.0,
|
662 |
"step": 2650
|
663 |
},
|
664 |
{
|
665 |
+
"epoch": 140.0,
|
666 |
"learning_rate": 1e-05,
|
667 |
+
"loss": 0.0,
|
668 |
"step": 2675
|
669 |
},
|
670 |
{
|
671 |
+
"epoch": 142.0,
|
672 |
"learning_rate": 1e-05,
|
673 |
+
"loss": 0.0,
|
674 |
"step": 2700
|
675 |
},
|
676 |
{
|
677 |
+
"epoch": 143.0,
|
678 |
"learning_rate": 1e-05,
|
679 |
+
"loss": 0.0,
|
680 |
"step": 2725
|
681 |
},
|
682 |
{
|
683 |
+
"epoch": 144.0,
|
684 |
"learning_rate": 1e-05,
|
685 |
+
"loss": 0.0,
|
686 |
"step": 2750
|
687 |
},
|
688 |
{
|
689 |
+
"epoch": 146.0,
|
690 |
"learning_rate": 1e-05,
|
691 |
+
"loss": 0.0,
|
692 |
"step": 2775
|
693 |
},
|
694 |
{
|
695 |
+
"epoch": 147.0,
|
696 |
"learning_rate": 1e-05,
|
697 |
+
"loss": 0.0,
|
698 |
"step": 2800
|
699 |
},
|
700 |
{
|
701 |
+
"epoch": 148.0,
|
702 |
"learning_rate": 1e-05,
|
703 |
+
"loss": 0.0,
|
704 |
"step": 2825
|
705 |
},
|
706 |
{
|
707 |
+
"epoch": 149.0,
|
708 |
"learning_rate": 1e-05,
|
709 |
+
"loss": 0.0,
|
710 |
"step": 2850
|
711 |
},
|
712 |
{
|
713 |
+
"epoch": 151.0,
|
714 |
"learning_rate": 1e-05,
|
715 |
+
"loss": 0.0,
|
716 |
"step": 2875
|
717 |
},
|
718 |
{
|
719 |
+
"epoch": 152.0,
|
720 |
"learning_rate": 1e-05,
|
721 |
+
"loss": 0.0,
|
722 |
"step": 2900
|
723 |
},
|
724 |
{
|
725 |
+
"epoch": 153.0,
|
726 |
"learning_rate": 1e-05,
|
727 |
+
"loss": 0.0,
|
728 |
"step": 2925
|
729 |
},
|
730 |
{
|
731 |
+
"epoch": 155.0,
|
732 |
"learning_rate": 1e-05,
|
733 |
+
"loss": 0.0,
|
734 |
"step": 2950
|
735 |
},
|
736 |
{
|
737 |
+
"epoch": 156.0,
|
738 |
"learning_rate": 1e-05,
|
739 |
+
"loss": 0.0,
|
740 |
"step": 2975
|
741 |
},
|
742 |
{
|
743 |
+
"epoch": 157.0,
|
744 |
"learning_rate": 1e-05,
|
745 |
+
"loss": 0.0,
|
746 |
"step": 3000
|
747 |
},
|
748 |
{
|
749 |
+
"epoch": 157.0,
|
750 |
+
"eval_loss": 0.9056488871574402,
|
751 |
+
"eval_runtime": 18.7101,
|
752 |
+
"eval_samples_per_second": 1.764,
|
753 |
+
"eval_steps_per_second": 0.267,
|
754 |
+
"eval_wer": 28.03234501347709,
|
755 |
"step": 3000
|
756 |
},
|
757 |
{
|
758 |
+
"epoch": 159.0,
|
759 |
"learning_rate": 1e-05,
|
760 |
+
"loss": 0.0,
|
761 |
"step": 3025
|
762 |
},
|
763 |
{
|
764 |
+
"epoch": 160.0,
|
765 |
"learning_rate": 1e-05,
|
766 |
+
"loss": 0.0,
|
767 |
"step": 3050
|
768 |
},
|
769 |
{
|
770 |
+
"epoch": 161.0,
|
771 |
"learning_rate": 1e-05,
|
772 |
+
"loss": 0.0,
|
773 |
"step": 3075
|
774 |
},
|
775 |
{
|
776 |
+
"epoch": 163.0,
|
777 |
"learning_rate": 1e-05,
|
778 |
+
"loss": 0.0,
|
779 |
"step": 3100
|
780 |
},
|
781 |
{
|
782 |
+
"epoch": 164.0,
|
783 |
"learning_rate": 1e-05,
|
784 |
+
"loss": 0.0,
|
785 |
"step": 3125
|
786 |
},
|
787 |
{
|
788 |
+
"epoch": 165.0,
|
789 |
"learning_rate": 1e-05,
|
790 |
+
"loss": 0.0,
|
791 |
"step": 3150
|
792 |
},
|
793 |
{
|
794 |
+
"epoch": 167.0,
|
795 |
"learning_rate": 1e-05,
|
796 |
+
"loss": 0.0,
|
797 |
"step": 3175
|
798 |
},
|
799 |
{
|
800 |
+
"epoch": 168.0,
|
801 |
"learning_rate": 1e-05,
|
802 |
+
"loss": 0.0,
|
803 |
"step": 3200
|
804 |
},
|
805 |
{
|
806 |
+
"epoch": 169.0,
|
807 |
"learning_rate": 1e-05,
|
808 |
+
"loss": 0.0,
|
809 |
"step": 3225
|
810 |
},
|
811 |
{
|
812 |
+
"epoch": 171.0,
|
813 |
"learning_rate": 1e-05,
|
814 |
+
"loss": 0.0,
|
815 |
"step": 3250
|
816 |
},
|
817 |
{
|
818 |
+
"epoch": 172.0,
|
819 |
"learning_rate": 1e-05,
|
820 |
+
"loss": 0.0,
|
821 |
"step": 3275
|
822 |
},
|
823 |
{
|
824 |
+
"epoch": 173.0,
|
825 |
"learning_rate": 1e-05,
|
826 |
+
"loss": 0.0,
|
827 |
"step": 3300
|
828 |
},
|
829 |
{
|
830 |
+
"epoch": 174.0,
|
831 |
"learning_rate": 1e-05,
|
832 |
+
"loss": 0.0,
|
833 |
"step": 3325
|
834 |
},
|
835 |
{
|
836 |
+
"epoch": 176.0,
|
837 |
"learning_rate": 1e-05,
|
838 |
+
"loss": 0.0,
|
839 |
"step": 3350
|
840 |
},
|
841 |
{
|
842 |
+
"epoch": 177.0,
|
843 |
"learning_rate": 1e-05,
|
844 |
+
"loss": 0.0,
|
845 |
"step": 3375
|
846 |
},
|
847 |
{
|
848 |
+
"epoch": 178.0,
|
849 |
"learning_rate": 1e-05,
|
850 |
+
"loss": 0.0,
|
851 |
"step": 3400
|
852 |
},
|
853 |
{
|
854 |
+
"epoch": 180.0,
|
855 |
"learning_rate": 1e-05,
|
856 |
+
"loss": 0.0,
|
857 |
"step": 3425
|
858 |
},
|
859 |
{
|
860 |
+
"epoch": 181.0,
|
861 |
"learning_rate": 1e-05,
|
862 |
+
"loss": 0.0,
|
863 |
"step": 3450
|
864 |
},
|
865 |
{
|
866 |
+
"epoch": 182.0,
|
867 |
"learning_rate": 1e-05,
|
868 |
+
"loss": 0.0,
|
869 |
"step": 3475
|
870 |
},
|
871 |
{
|
872 |
+
"epoch": 184.0,
|
873 |
"learning_rate": 1e-05,
|
874 |
+
"loss": 0.0,
|
875 |
"step": 3500
|
876 |
},
|
877 |
{
|
878 |
+
"epoch": 185.0,
|
879 |
"learning_rate": 1e-05,
|
880 |
+
"loss": 0.0,
|
881 |
"step": 3525
|
882 |
},
|
883 |
{
|
884 |
+
"epoch": 186.0,
|
885 |
"learning_rate": 1e-05,
|
886 |
+
"loss": 0.0,
|
887 |
"step": 3550
|
888 |
},
|
889 |
{
|
890 |
+
"epoch": 188.0,
|
891 |
"learning_rate": 1e-05,
|
892 |
+
"loss": 0.0,
|
893 |
"step": 3575
|
894 |
},
|
895 |
{
|
896 |
+
"epoch": 189.0,
|
897 |
"learning_rate": 1e-05,
|
898 |
+
"loss": 0.0,
|
899 |
"step": 3600
|
900 |
},
|
901 |
{
|
902 |
+
"epoch": 190.0,
|
903 |
"learning_rate": 1e-05,
|
904 |
+
"loss": 0.0,
|
905 |
"step": 3625
|
906 |
},
|
907 |
{
|
908 |
+
"epoch": 192.0,
|
909 |
"learning_rate": 1e-05,
|
910 |
+
"loss": 0.0,
|
911 |
"step": 3650
|
912 |
},
|
913 |
{
|
914 |
+
"epoch": 193.0,
|
915 |
"learning_rate": 1e-05,
|
916 |
+
"loss": 0.0,
|
917 |
"step": 3675
|
918 |
},
|
919 |
{
|
920 |
+
"epoch": 194.0,
|
921 |
"learning_rate": 1e-05,
|
922 |
+
"loss": 0.0,
|
923 |
"step": 3700
|
924 |
},
|
925 |
{
|
926 |
+
"epoch": 196.0,
|
927 |
"learning_rate": 1e-05,
|
928 |
+
"loss": 0.0,
|
929 |
"step": 3725
|
930 |
},
|
931 |
{
|
932 |
+
"epoch": 197.0,
|
933 |
"learning_rate": 1e-05,
|
934 |
+
"loss": 0.0,
|
935 |
"step": 3750
|
936 |
},
|
937 |
{
|
938 |
+
"epoch": 198.0,
|
939 |
"learning_rate": 1e-05,
|
940 |
+
"loss": 0.0,
|
941 |
"step": 3775
|
942 |
},
|
943 |
{
|
944 |
+
"epoch": 199.0,
|
945 |
"learning_rate": 1e-05,
|
946 |
+
"loss": 0.0,
|
947 |
"step": 3800
|
948 |
},
|
949 |
{
|
950 |
+
"epoch": 201.0,
|
951 |
"learning_rate": 1e-05,
|
952 |
+
"loss": 0.0,
|
953 |
"step": 3825
|
954 |
},
|
955 |
{
|
956 |
+
"epoch": 202.0,
|
957 |
"learning_rate": 1e-05,
|
958 |
+
"loss": 0.0,
|
959 |
"step": 3850
|
960 |
},
|
961 |
{
|
962 |
+
"epoch": 203.0,
|
963 |
"learning_rate": 1e-05,
|
964 |
+
"loss": 0.0,
|
965 |
"step": 3875
|
966 |
},
|
967 |
{
|
968 |
+
"epoch": 205.0,
|
969 |
"learning_rate": 1e-05,
|
970 |
+
"loss": 0.0,
|
971 |
"step": 3900
|
972 |
},
|
973 |
{
|
974 |
+
"epoch": 206.0,
|
975 |
"learning_rate": 1e-05,
|
976 |
+
"loss": 0.0,
|
977 |
"step": 3925
|
978 |
},
|
979 |
{
|
980 |
+
"epoch": 207.0,
|
981 |
"learning_rate": 1e-05,
|
982 |
+
"loss": 0.0,
|
983 |
"step": 3950
|
984 |
},
|
985 |
{
|
986 |
+
"epoch": 209.0,
|
987 |
"learning_rate": 1e-05,
|
988 |
+
"loss": 0.0,
|
989 |
"step": 3975
|
990 |
},
|
991 |
{
|
992 |
+
"epoch": 210.0,
|
993 |
"learning_rate": 1e-05,
|
994 |
+
"loss": 0.0,
|
995 |
"step": 4000
|
996 |
},
|
997 |
{
|
998 |
+
"epoch": 210.0,
|
999 |
+
"eval_loss": 0.9413659572601318,
|
1000 |
+
"eval_runtime": 19.1723,
|
1001 |
+
"eval_samples_per_second": 1.721,
|
1002 |
+
"eval_steps_per_second": 0.261,
|
1003 |
+
"eval_wer": 28.84097035040431,
|
1004 |
"step": 4000
|
1005 |
},
|
1006 |
{
|
1007 |
+
"epoch": 211.0,
|
1008 |
"learning_rate": 1e-05,
|
1009 |
+
"loss": 0.0,
|
1010 |
"step": 4025
|
1011 |
},
|
1012 |
{
|
1013 |
+
"epoch": 213.0,
|
1014 |
"learning_rate": 1e-05,
|
1015 |
+
"loss": 0.0,
|
1016 |
"step": 4050
|
1017 |
},
|
1018 |
{
|
1019 |
+
"epoch": 214.0,
|
1020 |
"learning_rate": 1e-05,
|
1021 |
+
"loss": 0.0,
|
1022 |
"step": 4075
|
1023 |
},
|
1024 |
{
|
1025 |
+
"epoch": 215.0,
|
1026 |
"learning_rate": 1e-05,
|
1027 |
+
"loss": 0.0,
|
1028 |
"step": 4100
|
1029 |
},
|
1030 |
{
|
1031 |
+
"epoch": 217.0,
|
1032 |
"learning_rate": 1e-05,
|
1033 |
+
"loss": 0.0,
|
1034 |
"step": 4125
|
1035 |
},
|
1036 |
{
|
1037 |
+
"epoch": 218.0,
|
1038 |
"learning_rate": 1e-05,
|
1039 |
+
"loss": 0.0,
|
1040 |
"step": 4150
|
1041 |
},
|
1042 |
{
|
1043 |
+
"epoch": 219.0,
|
1044 |
"learning_rate": 1e-05,
|
1045 |
"loss": 0.0,
|
1046 |
"step": 4175
|
1047 |
},
|
1048 |
{
|
1049 |
+
"epoch": 221.0,
|
1050 |
"learning_rate": 1e-05,
|
1051 |
"loss": 0.0,
|
1052 |
"step": 4200
|
1053 |
},
|
1054 |
{
|
1055 |
+
"epoch": 222.0,
|
1056 |
"learning_rate": 1e-05,
|
1057 |
"loss": 0.0,
|
1058 |
"step": 4225
|
1059 |
},
|
1060 |
{
|
1061 |
+
"epoch": 223.0,
|
1062 |
"learning_rate": 1e-05,
|
1063 |
"loss": 0.0,
|
1064 |
"step": 4250
|
1065 |
},
|
1066 |
{
|
1067 |
+
"epoch": 224.0,
|
1068 |
"learning_rate": 1e-05,
|
1069 |
"loss": 0.0,
|
1070 |
"step": 4275
|
1071 |
},
|
1072 |
{
|
1073 |
+
"epoch": 226.0,
|
1074 |
"learning_rate": 1e-05,
|
1075 |
"loss": 0.0,
|
1076 |
"step": 4300
|
1077 |
},
|
1078 |
{
|
1079 |
+
"epoch": 227.0,
|
1080 |
"learning_rate": 1e-05,
|
1081 |
"loss": 0.0,
|
1082 |
"step": 4325
|
1083 |
},
|
1084 |
{
|
1085 |
+
"epoch": 228.0,
|
1086 |
"learning_rate": 1e-05,
|
1087 |
"loss": 0.0,
|
1088 |
"step": 4350
|
1089 |
},
|
1090 |
{
|
1091 |
+
"epoch": 230.0,
|
1092 |
"learning_rate": 1e-05,
|
1093 |
"loss": 0.0,
|
1094 |
"step": 4375
|
1095 |
},
|
1096 |
{
|
1097 |
+
"epoch": 231.0,
|
1098 |
"learning_rate": 1e-05,
|
1099 |
"loss": 0.0,
|
1100 |
"step": 4400
|
1101 |
},
|
1102 |
{
|
1103 |
+
"epoch": 232.0,
|
1104 |
"learning_rate": 1e-05,
|
1105 |
"loss": 0.0,
|
1106 |
"step": 4425
|
1107 |
},
|
1108 |
{
|
1109 |
+
"epoch": 234.0,
|
1110 |
"learning_rate": 1e-05,
|
1111 |
"loss": 0.0,
|
1112 |
"step": 4450
|
1113 |
},
|
1114 |
{
|
1115 |
+
"epoch": 235.0,
|
1116 |
"learning_rate": 1e-05,
|
1117 |
"loss": 0.0,
|
1118 |
"step": 4475
|
1119 |
},
|
1120 |
{
|
1121 |
+
"epoch": 236.0,
|
1122 |
"learning_rate": 1e-05,
|
1123 |
"loss": 0.0,
|
1124 |
"step": 4500
|
1125 |
},
|
1126 |
{
|
1127 |
+
"epoch": 238.0,
|
1128 |
"learning_rate": 1e-05,
|
1129 |
"loss": 0.0,
|
1130 |
"step": 4525
|
1131 |
},
|
1132 |
{
|
1133 |
+
"epoch": 239.0,
|
1134 |
"learning_rate": 1e-05,
|
1135 |
"loss": 0.0,
|
1136 |
"step": 4550
|
1137 |
},
|
1138 |
{
|
1139 |
+
"epoch": 240.0,
|
1140 |
"learning_rate": 1e-05,
|
1141 |
"loss": 0.0,
|
1142 |
"step": 4575
|
1143 |
},
|
1144 |
{
|
1145 |
+
"epoch": 242.0,
|
1146 |
"learning_rate": 1e-05,
|
1147 |
"loss": 0.0,
|
1148 |
"step": 4600
|
1149 |
},
|
1150 |
{
|
1151 |
+
"epoch": 243.0,
|
1152 |
"learning_rate": 1e-05,
|
1153 |
"loss": 0.0,
|
1154 |
"step": 4625
|
1155 |
},
|
1156 |
{
|
1157 |
+
"epoch": 244.0,
|
1158 |
"learning_rate": 1e-05,
|
1159 |
"loss": 0.0,
|
1160 |
"step": 4650
|
1161 |
},
|
1162 |
{
|
1163 |
+
"epoch": 246.0,
|
1164 |
"learning_rate": 1e-05,
|
1165 |
"loss": 0.0,
|
1166 |
"step": 4675
|
1167 |
},
|
1168 |
{
|
1169 |
+
"epoch": 247.0,
|
1170 |
"learning_rate": 1e-05,
|
1171 |
"loss": 0.0,
|
1172 |
"step": 4700
|
1173 |
},
|
1174 |
{
|
1175 |
+
"epoch": 248.0,
|
1176 |
"learning_rate": 1e-05,
|
1177 |
"loss": 0.0,
|
1178 |
"step": 4725
|
1179 |
},
|
1180 |
{
|
1181 |
+
"epoch": 249.0,
|
1182 |
"learning_rate": 1e-05,
|
1183 |
"loss": 0.0,
|
1184 |
"step": 4750
|
1185 |
},
|
1186 |
{
|
1187 |
+
"epoch": 251.0,
|
1188 |
"learning_rate": 1e-05,
|
1189 |
"loss": 0.0,
|
1190 |
"step": 4775
|
1191 |
},
|
1192 |
{
|
1193 |
+
"epoch": 252.0,
|
1194 |
"learning_rate": 1e-05,
|
1195 |
"loss": 0.0,
|
1196 |
"step": 4800
|
1197 |
},
|
1198 |
{
|
1199 |
+
"epoch": 253.0,
|
1200 |
"learning_rate": 1e-05,
|
1201 |
"loss": 0.0,
|
1202 |
"step": 4825
|
1203 |
},
|
1204 |
{
|
1205 |
+
"epoch": 255.0,
|
1206 |
"learning_rate": 1e-05,
|
1207 |
"loss": 0.0,
|
1208 |
"step": 4850
|
1209 |
},
|
1210 |
{
|
1211 |
+
"epoch": 256.0,
|
1212 |
"learning_rate": 1e-05,
|
1213 |
"loss": 0.0,
|
1214 |
"step": 4875
|
1215 |
},
|
1216 |
{
|
1217 |
+
"epoch": 257.0,
|
1218 |
"learning_rate": 1e-05,
|
1219 |
"loss": 0.0,
|
1220 |
"step": 4900
|
1221 |
},
|
1222 |
{
|
1223 |
+
"epoch": 259.0,
|
1224 |
"learning_rate": 1e-05,
|
1225 |
"loss": 0.0,
|
1226 |
"step": 4925
|
1227 |
},
|
1228 |
{
|
1229 |
+
"epoch": 260.0,
|
1230 |
"learning_rate": 1e-05,
|
1231 |
"loss": 0.0,
|
1232 |
"step": 4950
|
1233 |
},
|
1234 |
{
|
1235 |
+
"epoch": 261.0,
|
1236 |
"learning_rate": 1e-05,
|
1237 |
"loss": 0.0,
|
1238 |
"step": 4975
|
1239 |
},
|
1240 |
{
|
1241 |
+
"epoch": 263.0,
|
1242 |
"learning_rate": 1e-05,
|
1243 |
"loss": 0.0,
|
1244 |
"step": 5000
|
1245 |
},
|
1246 |
{
|
1247 |
+
"epoch": 263.0,
|
1248 |
+
"eval_loss": 0.9841916561126709,
|
1249 |
+
"eval_runtime": 19.3631,
|
1250 |
+
"eval_samples_per_second": 1.704,
|
1251 |
+
"eval_steps_per_second": 0.258,
|
1252 |
+
"eval_wer": 31.266846361185983,
|
1253 |
"step": 5000
|
1254 |
},
|
1255 |
{
|
1256 |
+
"epoch": 264.0,
|
1257 |
"learning_rate": 1e-05,
|
1258 |
"loss": 0.0,
|
1259 |
"step": 5025
|
1260 |
},
|
1261 |
{
|
1262 |
+
"epoch": 265.0,
|
1263 |
"learning_rate": 1e-05,
|
1264 |
"loss": 0.0,
|
1265 |
"step": 5050
|
1266 |
},
|
1267 |
{
|
1268 |
+
"epoch": 267.0,
|
1269 |
"learning_rate": 1e-05,
|
1270 |
"loss": 0.0,
|
1271 |
"step": 5075
|
1272 |
},
|
1273 |
{
|
1274 |
+
"epoch": 268.0,
|
1275 |
"learning_rate": 1e-05,
|
1276 |
"loss": 0.0,
|
1277 |
"step": 5100
|
1278 |
},
|
1279 |
{
|
1280 |
+
"epoch": 269.0,
|
1281 |
"learning_rate": 1e-05,
|
1282 |
"loss": 0.0,
|
1283 |
"step": 5125
|
1284 |
},
|
1285 |
{
|
1286 |
+
"epoch": 271.0,
|
1287 |
"learning_rate": 1e-05,
|
1288 |
"loss": 0.0,
|
1289 |
"step": 5150
|
1290 |
},
|
1291 |
{
|
1292 |
+
"epoch": 272.0,
|
1293 |
"learning_rate": 1e-05,
|
1294 |
"loss": 0.0,
|
1295 |
"step": 5175
|
1296 |
},
|
1297 |
{
|
1298 |
+
"epoch": 273.0,
|
1299 |
"learning_rate": 1e-05,
|
1300 |
"loss": 0.0,
|
1301 |
"step": 5200
|
1302 |
},
|
1303 |
{
|
1304 |
+
"epoch": 274.0,
|
1305 |
"learning_rate": 1e-05,
|
1306 |
"loss": 0.0,
|
1307 |
"step": 5225
|
1308 |
},
|
1309 |
{
|
1310 |
+
"epoch": 276.0,
|
1311 |
"learning_rate": 1e-05,
|
1312 |
"loss": 0.0,
|
1313 |
"step": 5250
|
1314 |
},
|
1315 |
{
|
1316 |
+
"epoch": 277.0,
|
1317 |
"learning_rate": 1e-05,
|
1318 |
"loss": 0.0,
|
1319 |
"step": 5275
|
1320 |
},
|
1321 |
{
|
1322 |
+
"epoch": 278.0,
|
1323 |
"learning_rate": 1e-05,
|
1324 |
"loss": 0.0,
|
1325 |
"step": 5300
|
1326 |
},
|
1327 |
{
|
1328 |
+
"epoch": 280.0,
|
1329 |
"learning_rate": 1e-05,
|
1330 |
"loss": 0.0,
|
1331 |
"step": 5325
|
1332 |
},
|
1333 |
{
|
1334 |
+
"epoch": 281.0,
|
1335 |
"learning_rate": 1e-05,
|
1336 |
"loss": 0.0,
|
1337 |
"step": 5350
|
1338 |
},
|
1339 |
{
|
1340 |
+
"epoch": 282.0,
|
1341 |
"learning_rate": 1e-05,
|
1342 |
"loss": 0.0,
|
1343 |
"step": 5375
|
1344 |
},
|
1345 |
{
|
1346 |
+
"epoch": 284.0,
|
1347 |
"learning_rate": 1e-05,
|
1348 |
"loss": 0.0,
|
1349 |
"step": 5400
|
1350 |
},
|
1351 |
{
|
1352 |
+
"epoch": 285.0,
|
1353 |
"learning_rate": 1e-05,
|
1354 |
"loss": 0.0,
|
1355 |
"step": 5425
|
1356 |
},
|
1357 |
{
|
1358 |
+
"epoch": 286.0,
|
1359 |
"learning_rate": 1e-05,
|
1360 |
"loss": 0.0,
|
1361 |
"step": 5450
|
1362 |
},
|
1363 |
{
|
1364 |
+
"epoch": 288.0,
|
1365 |
"learning_rate": 1e-05,
|
1366 |
"loss": 0.0,
|
1367 |
"step": 5475
|
1368 |
},
|
1369 |
{
|
1370 |
+
"epoch": 289.0,
|
1371 |
"learning_rate": 1e-05,
|
1372 |
"loss": 0.0,
|
1373 |
"step": 5500
|
1374 |
},
|
1375 |
{
|
1376 |
+
"epoch": 290.0,
|
1377 |
"learning_rate": 1e-05,
|
1378 |
"loss": 0.0,
|
1379 |
"step": 5525
|
1380 |
},
|
1381 |
{
|
1382 |
+
"epoch": 292.0,
|
1383 |
"learning_rate": 1e-05,
|
1384 |
"loss": 0.0,
|
1385 |
"step": 5550
|
1386 |
},
|
1387 |
{
|
1388 |
+
"epoch": 293.0,
|
1389 |
"learning_rate": 1e-05,
|
1390 |
"loss": 0.0,
|
1391 |
"step": 5575
|
1392 |
},
|
1393 |
{
|
1394 |
+
"epoch": 294.0,
|
1395 |
"learning_rate": 1e-05,
|
1396 |
"loss": 0.0,
|
1397 |
"step": 5600
|
1398 |
},
|
1399 |
{
|
1400 |
+
"epoch": 296.0,
|
1401 |
"learning_rate": 1e-05,
|
1402 |
"loss": 0.0,
|
1403 |
"step": 5625
|
1404 |
},
|
1405 |
{
|
1406 |
+
"epoch": 297.0,
|
1407 |
"learning_rate": 1e-05,
|
1408 |
"loss": 0.0,
|
1409 |
"step": 5650
|
1410 |
},
|
1411 |
{
|
1412 |
+
"epoch": 298.0,
|
1413 |
"learning_rate": 1e-05,
|
1414 |
"loss": 0.0,
|
1415 |
"step": 5675
|
1416 |
},
|
1417 |
{
|
1418 |
+
"epoch": 299.0,
|
1419 |
"learning_rate": 1e-05,
|
1420 |
"loss": 0.0,
|
1421 |
"step": 5700
|
1422 |
},
|
1423 |
{
|
1424 |
+
"epoch": 301.0,
|
1425 |
"learning_rate": 1e-05,
|
1426 |
"loss": 0.0,
|
1427 |
"step": 5725
|
1428 |
},
|
1429 |
{
|
1430 |
+
"epoch": 302.0,
|
1431 |
"learning_rate": 1e-05,
|
1432 |
"loss": 0.0,
|
1433 |
"step": 5750
|
1434 |
},
|
1435 |
{
|
1436 |
+
"epoch": 303.0,
|
1437 |
"learning_rate": 1e-05,
|
1438 |
"loss": 0.0,
|
1439 |
"step": 5775
|
1440 |
},
|
1441 |
{
|
1442 |
+
"epoch": 305.0,
|
1443 |
"learning_rate": 1e-05,
|
1444 |
"loss": 0.0,
|
1445 |
"step": 5800
|
1446 |
},
|
1447 |
{
|
1448 |
+
"epoch": 306.0,
|
1449 |
"learning_rate": 1e-05,
|
1450 |
"loss": 0.0,
|
1451 |
"step": 5825
|
1452 |
},
|
1453 |
{
|
1454 |
+
"epoch": 307.0,
|
1455 |
"learning_rate": 1e-05,
|
1456 |
"loss": 0.0,
|
1457 |
"step": 5850
|
1458 |
},
|
1459 |
{
|
1460 |
+
"epoch": 309.0,
|
1461 |
"learning_rate": 1e-05,
|
1462 |
"loss": 0.0,
|
1463 |
"step": 5875
|
1464 |
},
|
1465 |
{
|
1466 |
+
"epoch": 310.0,
|
1467 |
"learning_rate": 1e-05,
|
1468 |
"loss": 0.0,
|
1469 |
"step": 5900
|
1470 |
},
|
1471 |
{
|
1472 |
+
"epoch": 311.0,
|
1473 |
"learning_rate": 1e-05,
|
1474 |
"loss": 0.0,
|
1475 |
"step": 5925
|
1476 |
},
|
1477 |
{
|
1478 |
+
"epoch": 313.0,
|
1479 |
"learning_rate": 1e-05,
|
1480 |
"loss": 0.0,
|
1481 |
"step": 5950
|
1482 |
},
|
1483 |
{
|
1484 |
+
"epoch": 314.0,
|
1485 |
"learning_rate": 1e-05,
|
1486 |
"loss": 0.0,
|
1487 |
"step": 5975
|
1488 |
},
|
1489 |
{
|
1490 |
+
"epoch": 315.0,
|
1491 |
"learning_rate": 1e-05,
|
1492 |
"loss": 0.0,
|
1493 |
"step": 6000
|
1494 |
},
|
1495 |
{
|
1496 |
+
"epoch": 315.0,
|
1497 |
+
"eval_loss": 1.0223233699798584,
|
1498 |
+
"eval_runtime": 20.2968,
|
1499 |
+
"eval_samples_per_second": 1.626,
|
1500 |
+
"eval_steps_per_second": 0.246,
|
1501 |
+
"eval_wer": 31.266846361185983,
|
1502 |
"step": 6000
|
1503 |
},
|
1504 |
{
|
1505 |
+
"epoch": 317.0,
|
1506 |
"learning_rate": 1e-05,
|
1507 |
"loss": 0.0,
|
1508 |
"step": 6025
|
1509 |
},
|
1510 |
{
|
1511 |
+
"epoch": 318.0,
|
1512 |
"learning_rate": 1e-05,
|
1513 |
"loss": 0.0,
|
1514 |
"step": 6050
|
1515 |
},
|
1516 |
{
|
1517 |
+
"epoch": 319.0,
|
1518 |
"learning_rate": 1e-05,
|
1519 |
"loss": 0.0,
|
1520 |
"step": 6075
|
1521 |
},
|
1522 |
{
|
1523 |
+
"epoch": 321.0,
|
1524 |
"learning_rate": 1e-05,
|
1525 |
"loss": 0.0,
|
1526 |
"step": 6100
|
1527 |
},
|
1528 |
{
|
1529 |
+
"epoch": 322.0,
|
1530 |
"learning_rate": 1e-05,
|
1531 |
"loss": 0.0,
|
1532 |
"step": 6125
|
1533 |
},
|
1534 |
{
|
1535 |
+
"epoch": 323.0,
|
1536 |
"learning_rate": 1e-05,
|
1537 |
"loss": 0.0,
|
1538 |
"step": 6150
|
1539 |
},
|
1540 |
{
|
1541 |
+
"epoch": 324.0,
|
1542 |
"learning_rate": 1e-05,
|
1543 |
"loss": 0.0,
|
1544 |
"step": 6175
|
1545 |
},
|
1546 |
{
|
1547 |
+
"epoch": 326.0,
|
1548 |
"learning_rate": 1e-05,
|
1549 |
"loss": 0.0,
|
1550 |
"step": 6200
|
1551 |
},
|
1552 |
{
|
1553 |
+
"epoch": 327.0,
|
1554 |
"learning_rate": 1e-05,
|
1555 |
"loss": 0.0,
|
1556 |
"step": 6225
|
1557 |
},
|
1558 |
{
|
1559 |
+
"epoch": 328.0,
|
1560 |
"learning_rate": 1e-05,
|
1561 |
"loss": 0.0,
|
1562 |
"step": 6250
|
1563 |
},
|
1564 |
{
|
1565 |
+
"epoch": 330.0,
|
1566 |
"learning_rate": 1e-05,
|
1567 |
"loss": 0.0,
|
1568 |
"step": 6275
|
1569 |
},
|
1570 |
{
|
1571 |
+
"epoch": 331.0,
|
1572 |
"learning_rate": 1e-05,
|
1573 |
"loss": 0.0,
|
1574 |
"step": 6300
|
1575 |
},
|
1576 |
{
|
1577 |
+
"epoch": 332.0,
|
1578 |
"learning_rate": 1e-05,
|
1579 |
"loss": 0.0,
|
1580 |
"step": 6325
|
1581 |
},
|
1582 |
{
|
1583 |
+
"epoch": 334.0,
|
1584 |
"learning_rate": 1e-05,
|
1585 |
"loss": 0.0,
|
1586 |
"step": 6350
|
1587 |
},
|
1588 |
{
|
1589 |
+
"epoch": 335.0,
|
1590 |
"learning_rate": 1e-05,
|
1591 |
"loss": 0.0,
|
1592 |
"step": 6375
|
1593 |
},
|
1594 |
{
|
1595 |
+
"epoch": 336.0,
|
1596 |
"learning_rate": 1e-05,
|
1597 |
"loss": 0.0,
|
1598 |
"step": 6400
|
1599 |
},
|
1600 |
{
|
1601 |
+
"epoch": 338.0,
|
1602 |
"learning_rate": 1e-05,
|
1603 |
"loss": 0.0,
|
1604 |
"step": 6425
|
1605 |
},
|
1606 |
{
|
1607 |
+
"epoch": 339.0,
|
1608 |
"learning_rate": 1e-05,
|
1609 |
"loss": 0.0,
|
1610 |
"step": 6450
|
1611 |
},
|
1612 |
{
|
1613 |
+
"epoch": 340.0,
|
1614 |
"learning_rate": 1e-05,
|
1615 |
"loss": 0.0,
|
1616 |
"step": 6475
|
1617 |
},
|
1618 |
{
|
1619 |
+
"epoch": 342.0,
|
1620 |
"learning_rate": 1e-05,
|
1621 |
"loss": 0.0,
|
1622 |
"step": 6500
|
1623 |
},
|
1624 |
{
|
1625 |
+
"epoch": 343.0,
|
1626 |
"learning_rate": 1e-05,
|
1627 |
"loss": 0.0,
|
1628 |
"step": 6525
|
1629 |
},
|
1630 |
{
|
1631 |
+
"epoch": 344.0,
|
1632 |
"learning_rate": 1e-05,
|
1633 |
"loss": 0.0,
|
1634 |
"step": 6550
|
1635 |
},
|
1636 |
{
|
1637 |
+
"epoch": 346.0,
|
1638 |
"learning_rate": 1e-05,
|
1639 |
"loss": 0.0,
|
1640 |
"step": 6575
|
1641 |
},
|
1642 |
{
|
1643 |
+
"epoch": 347.0,
|
1644 |
"learning_rate": 1e-05,
|
1645 |
"loss": 0.0,
|
1646 |
"step": 6600
|
1647 |
},
|
1648 |
{
|
1649 |
+
"epoch": 348.0,
|
1650 |
"learning_rate": 1e-05,
|
1651 |
"loss": 0.0,
|
1652 |
"step": 6625
|
1653 |
},
|
1654 |
{
|
1655 |
+
"epoch": 349.0,
|
1656 |
"learning_rate": 1e-05,
|
1657 |
"loss": 0.0,
|
1658 |
"step": 6650
|
1659 |
},
|
1660 |
{
|
1661 |
+
"epoch": 351.0,
|
1662 |
"learning_rate": 1e-05,
|
1663 |
"loss": 0.0,
|
1664 |
"step": 6675
|
1665 |
},
|
1666 |
{
|
1667 |
+
"epoch": 352.0,
|
1668 |
"learning_rate": 1e-05,
|
1669 |
"loss": 0.0,
|
1670 |
"step": 6700
|
1671 |
},
|
1672 |
{
|
1673 |
+
"epoch": 353.0,
|
1674 |
"learning_rate": 1e-05,
|
1675 |
"loss": 0.0,
|
1676 |
"step": 6725
|
1677 |
},
|
1678 |
{
|
1679 |
+
"epoch": 355.0,
|
1680 |
"learning_rate": 1e-05,
|
1681 |
"loss": 0.0,
|
1682 |
"step": 6750
|
1683 |
},
|
1684 |
{
|
1685 |
+
"epoch": 356.0,
|
1686 |
"learning_rate": 1e-05,
|
1687 |
"loss": 0.0,
|
1688 |
"step": 6775
|
1689 |
},
|
1690 |
{
|
1691 |
+
"epoch": 357.0,
|
1692 |
"learning_rate": 1e-05,
|
1693 |
"loss": 0.0,
|
1694 |
"step": 6800
|
1695 |
},
|
1696 |
{
|
1697 |
+
"epoch": 359.0,
|
1698 |
"learning_rate": 1e-05,
|
1699 |
"loss": 0.0,
|
1700 |
"step": 6825
|
1701 |
},
|
1702 |
{
|
1703 |
+
"epoch": 360.0,
|
1704 |
"learning_rate": 1e-05,
|
1705 |
"loss": 0.0,
|
1706 |
"step": 6850
|
1707 |
},
|
1708 |
{
|
1709 |
+
"epoch": 361.0,
|
1710 |
"learning_rate": 1e-05,
|
1711 |
"loss": 0.0,
|
1712 |
"step": 6875
|
1713 |
},
|
1714 |
{
|
1715 |
+
"epoch": 363.0,
|
1716 |
"learning_rate": 1e-05,
|
1717 |
"loss": 0.0,
|
1718 |
"step": 6900
|
1719 |
},
|
1720 |
{
|
1721 |
+
"epoch": 364.0,
|
1722 |
"learning_rate": 1e-05,
|
1723 |
"loss": 0.0,
|
1724 |
"step": 6925
|
1725 |
},
|
1726 |
{
|
1727 |
+
"epoch": 365.0,
|
1728 |
"learning_rate": 1e-05,
|
1729 |
"loss": 0.0,
|
1730 |
"step": 6950
|
1731 |
},
|
1732 |
{
|
1733 |
+
"epoch": 367.0,
|
1734 |
"learning_rate": 1e-05,
|
1735 |
"loss": 0.0,
|
1736 |
"step": 6975
|
1737 |
},
|
1738 |
{
|
1739 |
+
"epoch": 368.0,
|
1740 |
"learning_rate": 1e-05,
|
1741 |
"loss": 0.0,
|
1742 |
"step": 7000
|
1743 |
},
|
1744 |
{
|
1745 |
+
"epoch": 368.0,
|
1746 |
+
"eval_loss": 1.0676921606063843,
|
1747 |
+
"eval_runtime": 20.126,
|
1748 |
+
"eval_samples_per_second": 1.64,
|
1749 |
+
"eval_steps_per_second": 0.248,
|
1750 |
+
"eval_wer": 31.266846361185983,
|
1751 |
"step": 7000
|
1752 |
},
|
1753 |
{
|
1754 |
+
"epoch": 369.0,
|
1755 |
"learning_rate": 1e-05,
|
1756 |
"loss": 0.0,
|
1757 |
"step": 7025
|
1758 |
},
|
1759 |
{
|
1760 |
+
"epoch": 371.0,
|
1761 |
"learning_rate": 1e-05,
|
1762 |
"loss": 0.0,
|
1763 |
"step": 7050
|
1764 |
},
|
1765 |
{
|
1766 |
+
"epoch": 372.0,
|
1767 |
"learning_rate": 1e-05,
|
1768 |
"loss": 0.0,
|
1769 |
"step": 7075
|
1770 |
},
|
1771 |
{
|
1772 |
+
"epoch": 373.0,
|
1773 |
"learning_rate": 1e-05,
|
1774 |
"loss": 0.0,
|
1775 |
"step": 7100
|
1776 |
},
|
1777 |
{
|
1778 |
+
"epoch": 374.0,
|
1779 |
"learning_rate": 1e-05,
|
1780 |
"loss": 0.0,
|
1781 |
"step": 7125
|
1782 |
},
|
1783 |
{
|
1784 |
+
"epoch": 376.0,
|
1785 |
"learning_rate": 1e-05,
|
1786 |
"loss": 0.0,
|
1787 |
"step": 7150
|
1788 |
},
|
1789 |
{
|
1790 |
+
"epoch": 377.0,
|
1791 |
"learning_rate": 1e-05,
|
1792 |
"loss": 0.0,
|
1793 |
"step": 7175
|
1794 |
},
|
1795 |
{
|
1796 |
+
"epoch": 378.0,
|
1797 |
"learning_rate": 1e-05,
|
1798 |
"loss": 0.0,
|
1799 |
"step": 7200
|
1800 |
},
|
1801 |
{
|
1802 |
+
"epoch": 380.0,
|
1803 |
"learning_rate": 1e-05,
|
1804 |
"loss": 0.0,
|
1805 |
"step": 7225
|
1806 |
},
|
1807 |
{
|
1808 |
+
"epoch": 381.0,
|
1809 |
"learning_rate": 1e-05,
|
1810 |
"loss": 0.0,
|
1811 |
"step": 7250
|
1812 |
},
|
1813 |
{
|
1814 |
+
"epoch": 382.0,
|
1815 |
"learning_rate": 1e-05,
|
1816 |
"loss": 0.0,
|
1817 |
"step": 7275
|
1818 |
},
|
1819 |
{
|
1820 |
+
"epoch": 384.0,
|
1821 |
"learning_rate": 1e-05,
|
1822 |
"loss": 0.0,
|
1823 |
"step": 7300
|
1824 |
},
|
1825 |
{
|
1826 |
+
"epoch": 385.0,
|
1827 |
"learning_rate": 1e-05,
|
1828 |
"loss": 0.0,
|
1829 |
"step": 7325
|
1830 |
},
|
1831 |
{
|
1832 |
+
"epoch": 386.0,
|
1833 |
"learning_rate": 1e-05,
|
1834 |
"loss": 0.0,
|
1835 |
"step": 7350
|
1836 |
},
|
1837 |
{
|
1838 |
+
"epoch": 388.0,
|
1839 |
"learning_rate": 1e-05,
|
1840 |
"loss": 0.0,
|
1841 |
"step": 7375
|
1842 |
},
|
1843 |
{
|
1844 |
+
"epoch": 389.0,
|
1845 |
"learning_rate": 1e-05,
|
1846 |
"loss": 0.0,
|
1847 |
"step": 7400
|
1848 |
},
|
1849 |
{
|
1850 |
+
"epoch": 390.0,
|
1851 |
"learning_rate": 1e-05,
|
1852 |
"loss": 0.0,
|
1853 |
"step": 7425
|
1854 |
},
|
1855 |
{
|
1856 |
+
"epoch": 392.0,
|
1857 |
"learning_rate": 1e-05,
|
1858 |
"loss": 0.0,
|
1859 |
"step": 7450
|
1860 |
},
|
1861 |
{
|
1862 |
+
"epoch": 393.0,
|
1863 |
"learning_rate": 1e-05,
|
1864 |
"loss": 0.0,
|
1865 |
"step": 7475
|
1866 |
},
|
1867 |
{
|
1868 |
+
"epoch": 394.0,
|
1869 |
"learning_rate": 1e-05,
|
1870 |
"loss": 0.0,
|
1871 |
"step": 7500
|
1872 |
},
|
1873 |
{
|
1874 |
+
"epoch": 396.0,
|
1875 |
"learning_rate": 1e-05,
|
1876 |
"loss": 0.0,
|
1877 |
"step": 7525
|
1878 |
},
|
1879 |
{
|
1880 |
+
"epoch": 397.0,
|
1881 |
"learning_rate": 1e-05,
|
1882 |
"loss": 0.0,
|
1883 |
"step": 7550
|
1884 |
},
|
1885 |
{
|
1886 |
+
"epoch": 398.0,
|
1887 |
"learning_rate": 1e-05,
|
1888 |
"loss": 0.0,
|
1889 |
"step": 7575
|
1890 |
},
|
1891 |
{
|
1892 |
+
"epoch": 399.0,
|
1893 |
"learning_rate": 1e-05,
|
1894 |
"loss": 0.0,
|
1895 |
"step": 7600
|
1896 |
},
|
1897 |
{
|
1898 |
+
"epoch": 401.0,
|
1899 |
"learning_rate": 1e-05,
|
1900 |
"loss": 0.0,
|
1901 |
"step": 7625
|
1902 |
},
|
1903 |
{
|
1904 |
+
"epoch": 402.0,
|
1905 |
"learning_rate": 1e-05,
|
1906 |
"loss": 0.0,
|
1907 |
"step": 7650
|
1908 |
},
|
1909 |
{
|
1910 |
+
"epoch": 403.0,
|
1911 |
"learning_rate": 1e-05,
|
1912 |
"loss": 0.0,
|
1913 |
"step": 7675
|
1914 |
},
|
1915 |
{
|
1916 |
+
"epoch": 405.0,
|
1917 |
"learning_rate": 1e-05,
|
1918 |
"loss": 0.0,
|
1919 |
"step": 7700
|
1920 |
},
|
1921 |
{
|
1922 |
+
"epoch": 406.0,
|
1923 |
"learning_rate": 1e-05,
|
1924 |
"loss": 0.0,
|
1925 |
"step": 7725
|
1926 |
},
|
1927 |
{
|
1928 |
+
"epoch": 407.0,
|
1929 |
"learning_rate": 1e-05,
|
1930 |
"loss": 0.0,
|
1931 |
"step": 7750
|
1932 |
},
|
1933 |
{
|
1934 |
+
"epoch": 409.0,
|
1935 |
"learning_rate": 1e-05,
|
1936 |
"loss": 0.0,
|
1937 |
"step": 7775
|
1938 |
},
|
1939 |
{
|
1940 |
+
"epoch": 410.0,
|
1941 |
"learning_rate": 1e-05,
|
1942 |
"loss": 0.0,
|
1943 |
"step": 7800
|
1944 |
},
|
1945 |
{
|
1946 |
+
"epoch": 411.0,
|
1947 |
"learning_rate": 1e-05,
|
1948 |
"loss": 0.0,
|
1949 |
"step": 7825
|
1950 |
},
|
1951 |
{
|
1952 |
+
"epoch": 413.0,
|
1953 |
"learning_rate": 1e-05,
|
1954 |
"loss": 0.0,
|
1955 |
"step": 7850
|
1956 |
},
|
1957 |
{
|
1958 |
+
"epoch": 414.0,
|
1959 |
"learning_rate": 1e-05,
|
1960 |
"loss": 0.0,
|
1961 |
"step": 7875
|
1962 |
},
|
1963 |
{
|
1964 |
+
"epoch": 415.0,
|
1965 |
"learning_rate": 1e-05,
|
1966 |
"loss": 0.0,
|
1967 |
"step": 7900
|
1968 |
},
|
1969 |
{
|
1970 |
+
"epoch": 417.0,
|
1971 |
"learning_rate": 1e-05,
|
1972 |
"loss": 0.0,
|
1973 |
"step": 7925
|
1974 |
},
|
1975 |
{
|
1976 |
+
"epoch": 418.0,
|
1977 |
"learning_rate": 1e-05,
|
1978 |
"loss": 0.0,
|
1979 |
"step": 7950
|
1980 |
},
|
1981 |
{
|
1982 |
+
"epoch": 419.0,
|
1983 |
"learning_rate": 1e-05,
|
1984 |
"loss": 0.0,
|
1985 |
"step": 7975
|
1986 |
},
|
1987 |
{
|
1988 |
+
"epoch": 421.0,
|
1989 |
"learning_rate": 1e-05,
|
1990 |
"loss": 0.0,
|
1991 |
"step": 8000
|
1992 |
},
|
1993 |
{
|
1994 |
+
"epoch": 421.0,
|
1995 |
+
"eval_loss": 1.1078529357910156,
|
1996 |
+
"eval_runtime": 18.9462,
|
1997 |
+
"eval_samples_per_second": 1.742,
|
1998 |
+
"eval_steps_per_second": 0.264,
|
1999 |
+
"eval_wer": 31.266846361185983,
|
2000 |
"step": 8000
|
2001 |
},
|
2002 |
{
|
2003 |
+
"epoch": 422.0,
|
2004 |
"learning_rate": 1e-05,
|
2005 |
"loss": 0.0,
|
2006 |
"step": 8025
|
2007 |
},
|
2008 |
{
|
2009 |
+
"epoch": 423.0,
|
2010 |
"learning_rate": 1e-05,
|
2011 |
"loss": 0.0,
|
2012 |
"step": 8050
|
2013 |
},
|
2014 |
{
|
2015 |
+
"epoch": 424.0,
|
2016 |
"learning_rate": 1e-05,
|
2017 |
"loss": 0.0,
|
2018 |
"step": 8075
|
2019 |
},
|
2020 |
{
|
2021 |
+
"epoch": 426.0,
|
2022 |
"learning_rate": 1e-05,
|
2023 |
"loss": 0.0,
|
2024 |
"step": 8100
|
2025 |
},
|
2026 |
{
|
2027 |
+
"epoch": 427.0,
|
2028 |
"learning_rate": 1e-05,
|
2029 |
"loss": 0.0,
|
2030 |
"step": 8125
|
2031 |
},
|
2032 |
{
|
2033 |
+
"epoch": 428.0,
|
2034 |
"learning_rate": 1e-05,
|
2035 |
"loss": 0.0,
|
2036 |
"step": 8150
|
2037 |
},
|
2038 |
{
|
2039 |
+
"epoch": 430.0,
|
2040 |
"learning_rate": 1e-05,
|
2041 |
"loss": 0.0,
|
2042 |
"step": 8175
|
2043 |
},
|
2044 |
{
|
2045 |
+
"epoch": 431.0,
|
2046 |
"learning_rate": 1e-05,
|
2047 |
"loss": 0.0,
|
2048 |
"step": 8200
|
2049 |
},
|
2050 |
{
|
2051 |
+
"epoch": 432.0,
|
2052 |
"learning_rate": 1e-05,
|
2053 |
"loss": 0.0,
|
2054 |
"step": 8225
|
2055 |
},
|
2056 |
{
|
2057 |
+
"epoch": 434.0,
|
2058 |
"learning_rate": 1e-05,
|
2059 |
"loss": 0.0,
|
2060 |
"step": 8250
|
2061 |
},
|
2062 |
{
|
2063 |
+
"epoch": 435.0,
|
2064 |
"learning_rate": 1e-05,
|
2065 |
"loss": 0.0,
|
2066 |
"step": 8275
|
2067 |
},
|
2068 |
{
|
2069 |
+
"epoch": 436.0,
|
2070 |
"learning_rate": 1e-05,
|
2071 |
"loss": 0.0,
|
2072 |
"step": 8300
|
2073 |
},
|
2074 |
{
|
2075 |
+
"epoch": 438.0,
|
2076 |
"learning_rate": 1e-05,
|
2077 |
"loss": 0.0,
|
2078 |
"step": 8325
|
2079 |
},
|
2080 |
{
|
2081 |
+
"epoch": 439.0,
|
2082 |
"learning_rate": 1e-05,
|
2083 |
"loss": 0.0,
|
2084 |
"step": 8350
|
2085 |
},
|
2086 |
{
|
2087 |
+
"epoch": 440.0,
|
2088 |
"learning_rate": 1e-05,
|
2089 |
"loss": 0.0,
|
2090 |
"step": 8375
|
2091 |
},
|
2092 |
{
|
2093 |
+
"epoch": 442.0,
|
2094 |
"learning_rate": 1e-05,
|
2095 |
"loss": 0.0,
|
2096 |
"step": 8400
|
2097 |
},
|
2098 |
{
|
2099 |
+
"epoch": 443.0,
|
2100 |
"learning_rate": 1e-05,
|
2101 |
"loss": 0.0,
|
2102 |
"step": 8425
|
2103 |
},
|
2104 |
{
|
2105 |
+
"epoch": 444.0,
|
2106 |
"learning_rate": 1e-05,
|
2107 |
"loss": 0.0,
|
2108 |
"step": 8450
|
2109 |
},
|
2110 |
{
|
2111 |
+
"epoch": 446.0,
|
2112 |
"learning_rate": 1e-05,
|
2113 |
"loss": 0.0,
|
2114 |
"step": 8475
|
2115 |
},
|
2116 |
{
|
2117 |
+
"epoch": 447.0,
|
2118 |
"learning_rate": 1e-05,
|
2119 |
"loss": 0.0,
|
2120 |
"step": 8500
|
2121 |
},
|
2122 |
{
|
2123 |
+
"epoch": 448.0,
|
2124 |
"learning_rate": 1e-05,
|
2125 |
"loss": 0.0,
|
2126 |
"step": 8525
|
2127 |
},
|
2128 |
{
|
2129 |
+
"epoch": 449.0,
|
2130 |
"learning_rate": 1e-05,
|
2131 |
"loss": 0.0,
|
2132 |
"step": 8550
|
2133 |
},
|
2134 |
{
|
2135 |
+
"epoch": 451.0,
|
2136 |
"learning_rate": 1e-05,
|
2137 |
"loss": 0.0,
|
2138 |
"step": 8575
|
2139 |
},
|
2140 |
{
|
2141 |
+
"epoch": 452.0,
|
2142 |
"learning_rate": 1e-05,
|
2143 |
"loss": 0.0,
|
2144 |
"step": 8600
|
2145 |
},
|
2146 |
{
|
2147 |
+
"epoch": 453.0,
|
2148 |
"learning_rate": 1e-05,
|
2149 |
"loss": 0.0,
|
2150 |
"step": 8625
|
2151 |
},
|
2152 |
{
|
2153 |
+
"epoch": 455.0,
|
2154 |
"learning_rate": 1e-05,
|
2155 |
"loss": 0.0,
|
2156 |
"step": 8650
|
2157 |
},
|
2158 |
{
|
2159 |
+
"epoch": 456.0,
|
2160 |
"learning_rate": 1e-05,
|
2161 |
"loss": 0.0,
|
2162 |
"step": 8675
|
2163 |
},
|
2164 |
{
|
2165 |
+
"epoch": 457.0,
|
2166 |
"learning_rate": 1e-05,
|
2167 |
"loss": 0.0,
|
2168 |
"step": 8700
|
2169 |
},
|
2170 |
{
|
2171 |
+
"epoch": 459.0,
|
2172 |
"learning_rate": 1e-05,
|
2173 |
"loss": 0.0,
|
2174 |
"step": 8725
|
2175 |
},
|
2176 |
{
|
2177 |
+
"epoch": 460.0,
|
2178 |
"learning_rate": 1e-05,
|
2179 |
"loss": 0.0,
|
2180 |
"step": 8750
|
2181 |
},
|
2182 |
{
|
2183 |
+
"epoch": 461.0,
|
2184 |
"learning_rate": 1e-05,
|
2185 |
"loss": 0.0,
|
2186 |
"step": 8775
|
2187 |
},
|
2188 |
{
|
2189 |
+
"epoch": 463.0,
|
2190 |
"learning_rate": 1e-05,
|
2191 |
"loss": 0.0,
|
2192 |
"step": 8800
|
2193 |
},
|
2194 |
{
|
2195 |
+
"epoch": 464.0,
|
2196 |
"learning_rate": 1e-05,
|
2197 |
"loss": 0.0,
|
2198 |
"step": 8825
|
2199 |
},
|
2200 |
{
|
2201 |
+
"epoch": 465.0,
|
2202 |
"learning_rate": 1e-05,
|
2203 |
"loss": 0.0,
|
2204 |
"step": 8850
|
2205 |
},
|
2206 |
{
|
2207 |
+
"epoch": 467.0,
|
2208 |
"learning_rate": 1e-05,
|
2209 |
"loss": 0.0,
|
2210 |
"step": 8875
|
2211 |
},
|
2212 |
{
|
2213 |
+
"epoch": 468.0,
|
2214 |
"learning_rate": 1e-05,
|
2215 |
"loss": 0.0,
|
2216 |
"step": 8900
|
2217 |
},
|
2218 |
{
|
2219 |
+
"epoch": 469.0,
|
2220 |
"learning_rate": 1e-05,
|
2221 |
"loss": 0.0,
|
2222 |
"step": 8925
|
2223 |
},
|
2224 |
{
|
2225 |
+
"epoch": 471.0,
|
2226 |
"learning_rate": 1e-05,
|
2227 |
"loss": 0.0,
|
2228 |
"step": 8950
|
2229 |
},
|
2230 |
{
|
2231 |
+
"epoch": 472.0,
|
2232 |
"learning_rate": 1e-05,
|
2233 |
"loss": 0.0,
|
2234 |
"step": 8975
|
2235 |
},
|
2236 |
{
|
2237 |
+
"epoch": 473.0,
|
2238 |
"learning_rate": 1e-05,
|
2239 |
"loss": 0.0,
|
2240 |
"step": 9000
|
2241 |
},
|
2242 |
{
|
2243 |
+
"epoch": 473.0,
|
2244 |
+
"eval_loss": 1.1467610597610474,
|
2245 |
+
"eval_runtime": 19.0177,
|
2246 |
+
"eval_samples_per_second": 1.735,
|
2247 |
+
"eval_steps_per_second": 0.263,
|
2248 |
+
"eval_wer": 31.536388140161726,
|
2249 |
"step": 9000
|
2250 |
},
|
2251 |
{
|
2252 |
+
"epoch": 474.0,
|
2253 |
"learning_rate": 1e-05,
|
2254 |
"loss": 0.0,
|
2255 |
"step": 9025
|
2256 |
},
|
2257 |
{
|
2258 |
+
"epoch": 476.0,
|
2259 |
"learning_rate": 1e-05,
|
2260 |
"loss": 0.0,
|
2261 |
"step": 9050
|
2262 |
},
|
2263 |
{
|
2264 |
+
"epoch": 477.0,
|
2265 |
"learning_rate": 1e-05,
|
2266 |
"loss": 0.0,
|
2267 |
"step": 9075
|
2268 |
},
|
2269 |
{
|
2270 |
+
"epoch": 478.0,
|
2271 |
"learning_rate": 1e-05,
|
2272 |
"loss": 0.0,
|
2273 |
"step": 9100
|
2274 |
},
|
2275 |
{
|
2276 |
+
"epoch": 480.0,
|
2277 |
"learning_rate": 1e-05,
|
2278 |
"loss": 0.0,
|
2279 |
"step": 9125
|
2280 |
},
|
2281 |
{
|
2282 |
+
"epoch": 481.0,
|
2283 |
"learning_rate": 1e-05,
|
2284 |
"loss": 0.0,
|
2285 |
"step": 9150
|
2286 |
},
|
2287 |
{
|
2288 |
+
"epoch": 482.0,
|
2289 |
"learning_rate": 1e-05,
|
2290 |
"loss": 0.0,
|
2291 |
"step": 9175
|
2292 |
},
|
2293 |
{
|
2294 |
+
"epoch": 484.0,
|
2295 |
"learning_rate": 1e-05,
|
2296 |
"loss": 0.0,
|
2297 |
"step": 9200
|
2298 |
},
|
2299 |
{
|
2300 |
+
"epoch": 485.0,
|
2301 |
"learning_rate": 1e-05,
|
2302 |
"loss": 0.0,
|
2303 |
"step": 9225
|
2304 |
},
|
2305 |
{
|
2306 |
+
"epoch": 486.0,
|
2307 |
"learning_rate": 1e-05,
|
2308 |
"loss": 0.0,
|
2309 |
"step": 9250
|
2310 |
},
|
2311 |
{
|
2312 |
+
"epoch": 488.0,
|
2313 |
"learning_rate": 1e-05,
|
2314 |
"loss": 0.0,
|
2315 |
"step": 9275
|
2316 |
},
|
2317 |
{
|
2318 |
+
"epoch": 489.0,
|
2319 |
"learning_rate": 1e-05,
|
2320 |
"loss": 0.0,
|
2321 |
"step": 9300
|
2322 |
},
|
2323 |
{
|
2324 |
+
"epoch": 490.0,
|
2325 |
"learning_rate": 1e-05,
|
2326 |
"loss": 0.0,
|
2327 |
"step": 9325
|
2328 |
},
|
2329 |
{
|
2330 |
+
"epoch": 492.0,
|
2331 |
"learning_rate": 1e-05,
|
2332 |
"loss": 0.0,
|
2333 |
"step": 9350
|
2334 |
},
|
2335 |
{
|
2336 |
+
"epoch": 493.0,
|
2337 |
"learning_rate": 1e-05,
|
2338 |
"loss": 0.0,
|
2339 |
"step": 9375
|
2340 |
},
|
2341 |
{
|
2342 |
+
"epoch": 494.0,
|
2343 |
"learning_rate": 1e-05,
|
2344 |
"loss": 0.0,
|
2345 |
"step": 9400
|
2346 |
},
|
2347 |
{
|
2348 |
+
"epoch": 496.0,
|
2349 |
"learning_rate": 1e-05,
|
2350 |
"loss": 0.0,
|
2351 |
"step": 9425
|
2352 |
},
|
2353 |
{
|
2354 |
+
"epoch": 497.0,
|
2355 |
"learning_rate": 1e-05,
|
2356 |
"loss": 0.0,
|
2357 |
"step": 9450
|
2358 |
},
|
2359 |
{
|
2360 |
+
"epoch": 498.0,
|
2361 |
"learning_rate": 1e-05,
|
2362 |
"loss": 0.0,
|
2363 |
"step": 9475
|
2364 |
},
|
2365 |
{
|
2366 |
+
"epoch": 499.0,
|
2367 |
"learning_rate": 1e-05,
|
2368 |
"loss": 0.0,
|
2369 |
"step": 9500
|
2370 |
},
|
2371 |
{
|
2372 |
+
"epoch": 501.0,
|
2373 |
"learning_rate": 1e-05,
|
2374 |
"loss": 0.0,
|
2375 |
"step": 9525
|
2376 |
},
|
2377 |
{
|
2378 |
+
"epoch": 502.0,
|
2379 |
"learning_rate": 1e-05,
|
2380 |
"loss": 0.0,
|
2381 |
"step": 9550
|
2382 |
},
|
2383 |
{
|
2384 |
+
"epoch": 503.0,
|
2385 |
"learning_rate": 1e-05,
|
2386 |
"loss": 0.0,
|
2387 |
"step": 9575
|
2388 |
},
|
2389 |
{
|
2390 |
+
"epoch": 505.0,
|
2391 |
"learning_rate": 1e-05,
|
2392 |
"loss": 0.0,
|
2393 |
"step": 9600
|
2394 |
},
|
2395 |
{
|
2396 |
+
"epoch": 506.0,
|
2397 |
"learning_rate": 1e-05,
|
2398 |
"loss": 0.0,
|
2399 |
"step": 9625
|
2400 |
},
|
2401 |
{
|
2402 |
+
"epoch": 507.0,
|
2403 |
"learning_rate": 1e-05,
|
2404 |
"loss": 0.0,
|
2405 |
"step": 9650
|
2406 |
},
|
2407 |
{
|
2408 |
+
"epoch": 509.0,
|
2409 |
"learning_rate": 1e-05,
|
2410 |
"loss": 0.0,
|
2411 |
"step": 9675
|
2412 |
},
|
2413 |
{
|
2414 |
+
"epoch": 510.0,
|
2415 |
"learning_rate": 1e-05,
|
2416 |
"loss": 0.0,
|
2417 |
"step": 9700
|
2418 |
},
|
2419 |
{
|
2420 |
+
"epoch": 511.0,
|
2421 |
"learning_rate": 1e-05,
|
2422 |
"loss": 0.0,
|
2423 |
"step": 9725
|
2424 |
},
|
2425 |
{
|
2426 |
+
"epoch": 513.0,
|
2427 |
"learning_rate": 1e-05,
|
2428 |
"loss": 0.0,
|
2429 |
"step": 9750
|
2430 |
},
|
2431 |
{
|
2432 |
+
"epoch": 514.0,
|
2433 |
"learning_rate": 1e-05,
|
2434 |
"loss": 0.0,
|
2435 |
"step": 9775
|
2436 |
},
|
2437 |
{
|
2438 |
+
"epoch": 515.0,
|
2439 |
"learning_rate": 1e-05,
|
2440 |
"loss": 0.0,
|
2441 |
"step": 9800
|
2442 |
},
|
2443 |
{
|
2444 |
+
"epoch": 517.0,
|
2445 |
"learning_rate": 1e-05,
|
2446 |
"loss": 0.0,
|
2447 |
"step": 9825
|
2448 |
},
|
2449 |
{
|
2450 |
+
"epoch": 518.0,
|
2451 |
"learning_rate": 1e-05,
|
2452 |
"loss": 0.0,
|
2453 |
"step": 9850
|
2454 |
},
|
2455 |
{
|
2456 |
+
"epoch": 519.0,
|
2457 |
"learning_rate": 1e-05,
|
2458 |
"loss": 0.0,
|
2459 |
"step": 9875
|
2460 |
},
|
2461 |
{
|
2462 |
+
"epoch": 521.0,
|
2463 |
"learning_rate": 1e-05,
|
2464 |
"loss": 0.0,
|
2465 |
"step": 9900
|
2466 |
},
|
2467 |
{
|
2468 |
+
"epoch": 522.0,
|
2469 |
"learning_rate": 1e-05,
|
2470 |
"loss": 0.0,
|
2471 |
"step": 9925
|
2472 |
},
|
2473 |
{
|
2474 |
+
"epoch": 523.0,
|
2475 |
"learning_rate": 1e-05,
|
2476 |
"loss": 0.0,
|
2477 |
"step": 9950
|
2478 |
},
|
2479 |
{
|
2480 |
+
"epoch": 524.0,
|
2481 |
"learning_rate": 1e-05,
|
2482 |
"loss": 0.0,
|
2483 |
"step": 9975
|
2484 |
},
|
2485 |
{
|
2486 |
+
"epoch": 526.0,
|
2487 |
"learning_rate": 1e-05,
|
2488 |
"loss": 0.0,
|
2489 |
"step": 10000
|
2490 |
},
|
2491 |
{
|
2492 |
+
"epoch": 526.0,
|
2493 |
+
"eval_loss": 1.159555435180664,
|
2494 |
+
"eval_runtime": 17.9613,
|
2495 |
+
"eval_samples_per_second": 1.837,
|
2496 |
+
"eval_steps_per_second": 0.278,
|
2497 |
+
"eval_wer": 31.536388140161726,
|
2498 |
"step": 10000
|
2499 |
},
|
2500 |
{
|
2501 |
+
"epoch": 526.0,
|
2502 |
"step": 10000,
|
2503 |
+
"total_flos": 4.556648036892672e+19,
|
2504 |
+
"train_loss": 0.004325694731991234,
|
2505 |
+
"train_runtime": 43350.103,
|
2506 |
+
"train_samples_per_second": 3.691,
|
2507 |
+
"train_steps_per_second": 0.231
|
2508 |
}
|
2509 |
],
|
2510 |
"max_steps": 10000,
|
2511 |
"num_train_epochs": 9223372036854775807,
|
2512 |
+
"total_flos": 4.556648036892672e+19,
|
2513 |
"trial_name": null,
|
2514 |
"trial_params": null
|
2515 |
}
|