End of training
Browse files
all_results.json
CHANGED
@@ -1,14 +1,14 @@
|
|
1 |
{
|
2 |
"epoch": 99.98,
|
3 |
-
"eval_loss": 0.
|
4 |
-
"eval_runtime": 2.
|
5 |
"eval_samples": 17,
|
6 |
-
"eval_samples_per_second": 6.
|
7 |
-
"eval_steps_per_second":
|
8 |
-
"eval_wer": 0.
|
9 |
-
"train_loss": 0.
|
10 |
-
"train_runtime":
|
11 |
"train_samples": 179,
|
12 |
-
"train_samples_per_second": 4.
|
13 |
-
"train_steps_per_second": 0.
|
14 |
}
|
|
|
1 |
{
|
2 |
"epoch": 99.98,
|
3 |
+
"eval_loss": 0.42036938667297363,
|
4 |
+
"eval_runtime": 2.4874,
|
5 |
"eval_samples": 17,
|
6 |
+
"eval_samples_per_second": 6.835,
|
7 |
+
"eval_steps_per_second": 2.01,
|
8 |
+
"eval_wer": 0.18436578171091444,
|
9 |
+
"train_loss": 0.2150352662259882,
|
10 |
+
"train_runtime": 4203.5944,
|
11 |
"train_samples": 179,
|
12 |
+
"train_samples_per_second": 4.258,
|
13 |
+
"train_steps_per_second": 0.262
|
14 |
}
|
eval_results.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
"epoch": 99.98,
|
3 |
-
"eval_loss": 0.
|
4 |
-
"eval_runtime": 2.
|
5 |
"eval_samples": 17,
|
6 |
-
"eval_samples_per_second": 6.
|
7 |
-
"eval_steps_per_second":
|
8 |
-
"eval_wer": 0.
|
9 |
}
|
|
|
1 |
{
|
2 |
"epoch": 99.98,
|
3 |
+
"eval_loss": 0.42036938667297363,
|
4 |
+
"eval_runtime": 2.4874,
|
5 |
"eval_samples": 17,
|
6 |
+
"eval_samples_per_second": 6.835,
|
7 |
+
"eval_steps_per_second": 2.01,
|
8 |
+
"eval_wer": 0.18436578171091444
|
9 |
}
|
runs/Nov25_06-38-15_4b2aca464fe8/events.out.tfevents.1669362984.4b2aca464fe8.10347.2
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ed0cc73049cc1851efdfe8936e8b5634f576b073c7d9335da8de9c67b26e2962
|
3 |
+
size 358
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 99.98,
|
3 |
-
"train_loss": 0.
|
4 |
-
"train_runtime":
|
5 |
"train_samples": 179,
|
6 |
-
"train_samples_per_second": 4.
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 99.98,
|
3 |
+
"train_loss": 0.2150352662259882,
|
4 |
+
"train_runtime": 4203.5944,
|
5 |
"train_samples": 179,
|
6 |
+
"train_samples_per_second": 4.258,
|
7 |
+
"train_steps_per_second": 0.262
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,6 +1,6 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
-
"best_model_checkpoint": "ai-light-dance_drums_ft_pretrain_wav2vec2-base-new_onset-idmt-mdb-2/checkpoint-
|
4 |
"epoch": 99.97777777777777,
|
5 |
"global_step": 1100,
|
6 |
"is_hyper_param_search": false,
|
@@ -9,1572 +9,1572 @@
|
|
9 |
"log_history": [
|
10 |
{
|
11 |
"epoch": 0.89,
|
12 |
-
"learning_rate":
|
13 |
-
"loss":
|
14 |
"step": 10
|
15 |
},
|
16 |
{
|
17 |
"epoch": 0.98,
|
18 |
-
"eval_loss":
|
19 |
-
"eval_runtime": 2.
|
20 |
-
"eval_samples_per_second": 7.
|
21 |
-
"eval_steps_per_second": 2.
|
22 |
-
"eval_wer": 0.
|
23 |
"step": 11
|
24 |
},
|
25 |
{
|
26 |
"epoch": 1.8,
|
27 |
-
"learning_rate": 0.
|
28 |
-
"loss":
|
29 |
"step": 20
|
30 |
},
|
31 |
{
|
32 |
"epoch": 1.98,
|
33 |
-
"eval_loss":
|
34 |
-
"eval_runtime": 2.
|
35 |
-
"eval_samples_per_second": 6.
|
36 |
-
"eval_steps_per_second":
|
37 |
-
"eval_wer": 0.
|
38 |
"step": 22
|
39 |
},
|
40 |
{
|
41 |
"epoch": 2.71,
|
42 |
-
"learning_rate": 0.
|
43 |
-
"loss":
|
44 |
"step": 30
|
45 |
},
|
46 |
{
|
47 |
"epoch": 2.98,
|
48 |
-
"eval_loss":
|
49 |
-
"eval_runtime": 2.
|
50 |
-
"eval_samples_per_second": 6.
|
51 |
-
"eval_steps_per_second":
|
52 |
-
"eval_wer": 0.
|
53 |
"step": 33
|
54 |
},
|
55 |
{
|
56 |
"epoch": 3.62,
|
57 |
-
"learning_rate": 0.
|
58 |
-
"loss":
|
59 |
"step": 40
|
60 |
},
|
61 |
{
|
62 |
"epoch": 3.98,
|
63 |
-
"eval_loss": 0.
|
64 |
-
"eval_runtime": 2.
|
65 |
-
"eval_samples_per_second": 6.
|
66 |
-
"eval_steps_per_second":
|
67 |
-
"eval_wer": 0.
|
68 |
"step": 44
|
69 |
},
|
70 |
{
|
71 |
"epoch": 4.53,
|
72 |
-
"learning_rate": 0.
|
73 |
-
"loss": 0.
|
74 |
"step": 50
|
75 |
},
|
76 |
{
|
77 |
"epoch": 4.98,
|
78 |
-
"eval_loss": 0.
|
79 |
-
"eval_runtime": 2.
|
80 |
-
"eval_samples_per_second": 6.
|
81 |
-
"eval_steps_per_second": 1.
|
82 |
-
"eval_wer": 0.
|
83 |
"step": 55
|
84 |
},
|
85 |
{
|
86 |
"epoch": 5.44,
|
87 |
-
"learning_rate": 0.
|
88 |
-
"loss": 0.
|
89 |
"step": 60
|
90 |
},
|
91 |
{
|
92 |
"epoch": 5.98,
|
93 |
-
"eval_loss": 0.
|
94 |
-
"eval_runtime": 2.
|
95 |
-
"eval_samples_per_second": 6.
|
96 |
-
"eval_steps_per_second": 1.
|
97 |
-
"eval_wer": 0.
|
98 |
"step": 66
|
99 |
},
|
100 |
{
|
101 |
"epoch": 6.36,
|
102 |
-
"learning_rate": 0.
|
103 |
-
"loss": 0.
|
104 |
"step": 70
|
105 |
},
|
106 |
{
|
107 |
"epoch": 6.98,
|
108 |
-
"eval_loss": 0.
|
109 |
-
"eval_runtime": 2.
|
110 |
-
"eval_samples_per_second": 6.
|
111 |
-
"eval_steps_per_second": 1.
|
112 |
-
"eval_wer": 0.
|
113 |
"step": 77
|
114 |
},
|
115 |
{
|
116 |
"epoch": 7.27,
|
117 |
-
"learning_rate": 0.
|
118 |
-
"loss": 0.
|
119 |
"step": 80
|
120 |
},
|
121 |
{
|
122 |
"epoch": 7.98,
|
123 |
-
"eval_loss": 0.
|
124 |
-
"eval_runtime": 2.
|
125 |
-
"eval_samples_per_second": 6.
|
126 |
-
"eval_steps_per_second":
|
127 |
-
"eval_wer": 0.
|
128 |
"step": 88
|
129 |
},
|
130 |
{
|
131 |
"epoch": 8.18,
|
132 |
-
"learning_rate": 0.
|
133 |
-
"loss": 0.
|
134 |
"step": 90
|
135 |
},
|
136 |
{
|
137 |
"epoch": 8.98,
|
138 |
-
"eval_loss": 0.
|
139 |
-
"eval_runtime": 2.
|
140 |
-
"eval_samples_per_second": 6.
|
141 |
-
"eval_steps_per_second": 1.
|
142 |
-
"eval_wer": 0.
|
143 |
"step": 99
|
144 |
},
|
145 |
{
|
146 |
"epoch": 9.09,
|
147 |
-
"learning_rate": 0.
|
148 |
-
"loss": 0.
|
149 |
"step": 100
|
150 |
},
|
151 |
{
|
152 |
"epoch": 9.98,
|
153 |
-
"learning_rate": 0.
|
154 |
-
"loss": 0.
|
155 |
"step": 110
|
156 |
},
|
157 |
{
|
158 |
"epoch": 9.98,
|
159 |
-
"eval_loss": 0.
|
160 |
-
"eval_runtime": 2.
|
161 |
-
"eval_samples_per_second": 6.
|
162 |
-
"eval_steps_per_second": 1.
|
163 |
-
"eval_wer": 0.
|
164 |
"step": 110
|
165 |
},
|
166 |
{
|
167 |
"epoch": 10.89,
|
168 |
-
"learning_rate": 0.
|
169 |
-
"loss": 0.
|
170 |
"step": 120
|
171 |
},
|
172 |
{
|
173 |
"epoch": 10.98,
|
174 |
-
"eval_loss": 0.
|
175 |
-
"eval_runtime": 2.
|
176 |
-
"eval_samples_per_second": 6.
|
177 |
"eval_steps_per_second": 2.014,
|
178 |
-
"eval_wer": 0.
|
179 |
"step": 121
|
180 |
},
|
181 |
{
|
182 |
"epoch": 11.8,
|
183 |
-
"learning_rate": 0.
|
184 |
-
"loss": 0.
|
185 |
"step": 130
|
186 |
},
|
187 |
{
|
188 |
"epoch": 11.98,
|
189 |
-
"eval_loss": 0.
|
190 |
-
"eval_runtime": 2.
|
191 |
-
"eval_samples_per_second": 6.
|
192 |
-
"eval_steps_per_second": 2.
|
193 |
-
"eval_wer": 0.
|
194 |
"step": 132
|
195 |
},
|
196 |
{
|
197 |
"epoch": 12.71,
|
198 |
-
"learning_rate": 0.
|
199 |
-
"loss": 0.
|
200 |
"step": 140
|
201 |
},
|
202 |
{
|
203 |
"epoch": 12.98,
|
204 |
-
"eval_loss": 0.
|
205 |
-
"eval_runtime": 2.
|
206 |
-
"eval_samples_per_second": 6.
|
207 |
-
"eval_steps_per_second": 2.
|
208 |
-
"eval_wer": 0.
|
209 |
"step": 143
|
210 |
},
|
211 |
{
|
212 |
"epoch": 13.62,
|
213 |
-
"learning_rate": 0.
|
214 |
-
"loss": 0.
|
215 |
"step": 150
|
216 |
},
|
217 |
{
|
218 |
"epoch": 13.98,
|
219 |
-
"eval_loss": 0.
|
220 |
-
"eval_runtime": 2.
|
221 |
-
"eval_samples_per_second":
|
222 |
-
"eval_steps_per_second": 2.
|
223 |
-
"eval_wer": 0.
|
224 |
"step": 154
|
225 |
},
|
226 |
{
|
227 |
"epoch": 14.53,
|
228 |
-
"learning_rate": 0.
|
229 |
-
"loss": 0.
|
230 |
"step": 160
|
231 |
},
|
232 |
{
|
233 |
"epoch": 14.98,
|
234 |
-
"eval_loss": 0.
|
235 |
-
"eval_runtime": 2.
|
236 |
-
"eval_samples_per_second": 6.
|
237 |
-
"eval_steps_per_second": 2.
|
238 |
-
"eval_wer": 0.
|
239 |
"step": 165
|
240 |
},
|
241 |
{
|
242 |
"epoch": 15.44,
|
243 |
-
"learning_rate": 0.
|
244 |
-
"loss": 0.
|
245 |
"step": 170
|
246 |
},
|
247 |
{
|
248 |
"epoch": 15.98,
|
249 |
-
"eval_loss": 0.
|
250 |
-
"eval_runtime": 2.
|
251 |
-
"eval_samples_per_second": 6.
|
252 |
-
"eval_steps_per_second":
|
253 |
-
"eval_wer": 0.
|
254 |
"step": 176
|
255 |
},
|
256 |
{
|
257 |
"epoch": 16.36,
|
258 |
-
"learning_rate": 0.
|
259 |
-
"loss": 0.
|
260 |
"step": 180
|
261 |
},
|
262 |
{
|
263 |
"epoch": 16.98,
|
264 |
-
"eval_loss": 0.
|
265 |
-
"eval_runtime": 2.
|
266 |
-
"eval_samples_per_second": 6.
|
267 |
-
"eval_steps_per_second": 2.
|
268 |
-
"eval_wer": 0.
|
269 |
"step": 187
|
270 |
},
|
271 |
{
|
272 |
"epoch": 17.27,
|
273 |
-
"learning_rate": 0.
|
274 |
-
"loss": 0.
|
275 |
"step": 190
|
276 |
},
|
277 |
{
|
278 |
"epoch": 17.98,
|
279 |
-
"eval_loss": 0.
|
280 |
-
"eval_runtime": 2.
|
281 |
-
"eval_samples_per_second": 6.
|
282 |
-
"eval_steps_per_second":
|
283 |
-
"eval_wer": 0.
|
284 |
"step": 198
|
285 |
},
|
286 |
{
|
287 |
"epoch": 18.18,
|
288 |
-
"learning_rate": 0.
|
289 |
-
"loss": 0.
|
290 |
"step": 200
|
291 |
},
|
292 |
{
|
293 |
"epoch": 18.98,
|
294 |
-
"eval_loss": 0.
|
295 |
-
"eval_runtime": 2.
|
296 |
-
"eval_samples_per_second":
|
297 |
-
"eval_steps_per_second": 2.
|
298 |
-
"eval_wer": 0.
|
299 |
"step": 209
|
300 |
},
|
301 |
{
|
302 |
"epoch": 19.09,
|
303 |
-
"learning_rate": 0.
|
304 |
-
"loss": 0.
|
305 |
"step": 210
|
306 |
},
|
307 |
{
|
308 |
"epoch": 19.98,
|
309 |
-
"learning_rate": 0.
|
310 |
-
"loss": 0.
|
311 |
"step": 220
|
312 |
},
|
313 |
{
|
314 |
"epoch": 19.98,
|
315 |
-
"eval_loss": 0.
|
316 |
-
"eval_runtime": 2.
|
317 |
-
"eval_samples_per_second":
|
318 |
-
"eval_steps_per_second": 2.
|
319 |
-
"eval_wer": 0.
|
320 |
"step": 220
|
321 |
},
|
322 |
{
|
323 |
"epoch": 20.89,
|
324 |
-
"learning_rate": 0.
|
325 |
-
"loss": 0.
|
326 |
"step": 230
|
327 |
},
|
328 |
{
|
329 |
"epoch": 20.98,
|
330 |
-
"eval_loss": 0.
|
331 |
-
"eval_runtime": 2.
|
332 |
-
"eval_samples_per_second": 6.
|
333 |
-
"eval_steps_per_second": 2.
|
334 |
-
"eval_wer": 0.
|
335 |
"step": 231
|
336 |
},
|
337 |
{
|
338 |
"epoch": 21.8,
|
339 |
-
"learning_rate": 0.
|
340 |
-
"loss": 0.
|
341 |
"step": 240
|
342 |
},
|
343 |
{
|
344 |
"epoch": 21.98,
|
345 |
-
"eval_loss": 0.
|
346 |
-
"eval_runtime": 2.
|
347 |
-
"eval_samples_per_second": 6.
|
348 |
-
"eval_steps_per_second": 2.
|
349 |
-
"eval_wer": 0.
|
350 |
"step": 242
|
351 |
},
|
352 |
{
|
353 |
"epoch": 22.71,
|
354 |
-
"learning_rate": 0.
|
355 |
-
"loss": 0.
|
356 |
"step": 250
|
357 |
},
|
358 |
{
|
359 |
"epoch": 22.98,
|
360 |
-
"eval_loss": 0.
|
361 |
-
"eval_runtime": 2.
|
362 |
-
"eval_samples_per_second":
|
363 |
-
"eval_steps_per_second":
|
364 |
-
"eval_wer": 0.
|
365 |
"step": 253
|
366 |
},
|
367 |
{
|
368 |
"epoch": 23.62,
|
369 |
-
"learning_rate": 0.
|
370 |
-
"loss": 0.
|
371 |
"step": 260
|
372 |
},
|
373 |
{
|
374 |
"epoch": 23.98,
|
375 |
-
"eval_loss": 0.
|
376 |
-
"eval_runtime": 2.
|
377 |
-
"eval_samples_per_second": 6.
|
378 |
-
"eval_steps_per_second": 2.
|
379 |
-
"eval_wer": 0.
|
380 |
"step": 264
|
381 |
},
|
382 |
{
|
383 |
"epoch": 24.53,
|
384 |
-
"learning_rate": 0.
|
385 |
-
"loss": 0.
|
386 |
"step": 270
|
387 |
},
|
388 |
{
|
389 |
"epoch": 24.98,
|
390 |
-
"eval_loss": 0.
|
391 |
-
"eval_runtime": 2.
|
392 |
-
"eval_samples_per_second": 6.
|
393 |
-
"eval_steps_per_second":
|
394 |
-
"eval_wer": 0.
|
395 |
"step": 275
|
396 |
},
|
397 |
{
|
398 |
"epoch": 25.44,
|
399 |
-
"learning_rate": 0.
|
400 |
-
"loss": 0.
|
401 |
"step": 280
|
402 |
},
|
403 |
{
|
404 |
"epoch": 25.98,
|
405 |
-
"eval_loss": 0.
|
406 |
-
"eval_runtime": 2.
|
407 |
-
"eval_samples_per_second": 6.
|
408 |
-
"eval_steps_per_second": 2.
|
409 |
-
"eval_wer": 0.
|
410 |
"step": 286
|
411 |
},
|
412 |
{
|
413 |
"epoch": 26.36,
|
414 |
-
"learning_rate": 0.
|
415 |
-
"loss": 0.
|
416 |
"step": 290
|
417 |
},
|
418 |
{
|
419 |
"epoch": 26.98,
|
420 |
-
"eval_loss": 0.
|
421 |
-
"eval_runtime": 2.
|
422 |
-
"eval_samples_per_second": 6.
|
423 |
-
"eval_steps_per_second": 2.
|
424 |
-
"eval_wer": 0.
|
425 |
"step": 297
|
426 |
},
|
427 |
{
|
428 |
"epoch": 27.27,
|
429 |
-
"learning_rate": 0.
|
430 |
-
"loss": 0.
|
431 |
"step": 300
|
432 |
},
|
433 |
{
|
434 |
"epoch": 27.98,
|
435 |
-
"eval_loss": 0.
|
436 |
-
"eval_runtime": 2.
|
437 |
-
"eval_samples_per_second": 6.
|
438 |
-
"eval_steps_per_second": 2.
|
439 |
-
"eval_wer": 0.
|
440 |
"step": 308
|
441 |
},
|
442 |
{
|
443 |
"epoch": 28.18,
|
444 |
-
"learning_rate": 0.
|
445 |
-
"loss": 0.
|
446 |
"step": 310
|
447 |
},
|
448 |
{
|
449 |
"epoch": 28.98,
|
450 |
-
"eval_loss": 0.
|
451 |
-
"eval_runtime": 2.
|
452 |
-
"eval_samples_per_second": 6.
|
453 |
-
"eval_steps_per_second": 2.
|
454 |
-
"eval_wer": 0.
|
455 |
"step": 319
|
456 |
},
|
457 |
{
|
458 |
"epoch": 29.09,
|
459 |
-
"learning_rate": 0.
|
460 |
-
"loss": 0.
|
461 |
"step": 320
|
462 |
},
|
463 |
{
|
464 |
"epoch": 29.98,
|
465 |
-
"learning_rate": 0.
|
466 |
-
"loss": 0.
|
467 |
"step": 330
|
468 |
},
|
469 |
{
|
470 |
"epoch": 29.98,
|
471 |
-
"eval_loss": 0.
|
472 |
-
"eval_runtime": 2.
|
473 |
-
"eval_samples_per_second": 6.
|
474 |
-
"eval_steps_per_second":
|
475 |
-
"eval_wer": 0.
|
476 |
"step": 330
|
477 |
},
|
478 |
{
|
479 |
"epoch": 30.89,
|
480 |
-
"learning_rate": 0.
|
481 |
-
"loss": 0.
|
482 |
"step": 340
|
483 |
},
|
484 |
{
|
485 |
"epoch": 30.98,
|
486 |
-
"eval_loss": 0.
|
487 |
-
"eval_runtime": 2.
|
488 |
-
"eval_samples_per_second": 6.
|
489 |
-
"eval_steps_per_second":
|
490 |
-
"eval_wer": 0.
|
491 |
"step": 341
|
492 |
},
|
493 |
{
|
494 |
"epoch": 31.8,
|
495 |
-
"learning_rate": 0.
|
496 |
-
"loss": 0.
|
497 |
"step": 350
|
498 |
},
|
499 |
{
|
500 |
"epoch": 31.98,
|
501 |
-
"eval_loss": 0.
|
502 |
-
"eval_runtime": 2.
|
503 |
-
"eval_samples_per_second": 6.
|
504 |
-
"eval_steps_per_second":
|
505 |
-
"eval_wer": 0.
|
506 |
"step": 352
|
507 |
},
|
508 |
{
|
509 |
"epoch": 32.71,
|
510 |
-
"learning_rate": 0.
|
511 |
-
"loss": 0.
|
512 |
"step": 360
|
513 |
},
|
514 |
{
|
515 |
"epoch": 32.98,
|
516 |
-
"eval_loss": 0.
|
517 |
-
"eval_runtime": 2.
|
518 |
-
"eval_samples_per_second": 6.
|
519 |
-
"eval_steps_per_second": 2.
|
520 |
-
"eval_wer": 0.
|
521 |
"step": 363
|
522 |
},
|
523 |
{
|
524 |
"epoch": 33.62,
|
525 |
-
"learning_rate": 0.
|
526 |
-
"loss": 0.
|
527 |
"step": 370
|
528 |
},
|
529 |
{
|
530 |
"epoch": 33.98,
|
531 |
-
"eval_loss": 0.
|
532 |
-
"eval_runtime": 2.
|
533 |
-
"eval_samples_per_second": 6.
|
534 |
-
"eval_steps_per_second": 2.
|
535 |
-
"eval_wer": 0.
|
536 |
"step": 374
|
537 |
},
|
538 |
{
|
539 |
"epoch": 34.53,
|
540 |
-
"learning_rate": 0.
|
541 |
-
"loss": 0.
|
542 |
"step": 380
|
543 |
},
|
544 |
{
|
545 |
"epoch": 34.98,
|
546 |
-
"eval_loss": 0.
|
547 |
-
"eval_runtime": 2.
|
548 |
-
"eval_samples_per_second": 6.
|
549 |
-
"eval_steps_per_second": 2.
|
550 |
-
"eval_wer": 0.
|
551 |
"step": 385
|
552 |
},
|
553 |
{
|
554 |
"epoch": 35.44,
|
555 |
-
"learning_rate": 0.
|
556 |
-
"loss": 0.
|
557 |
"step": 390
|
558 |
},
|
559 |
{
|
560 |
"epoch": 35.98,
|
561 |
-
"eval_loss": 0.
|
562 |
-
"eval_runtime": 2.
|
563 |
-
"eval_samples_per_second": 6.
|
564 |
-
"eval_steps_per_second":
|
565 |
-
"eval_wer": 0.
|
566 |
"step": 396
|
567 |
},
|
568 |
{
|
569 |
"epoch": 36.36,
|
570 |
-
"learning_rate": 0.
|
571 |
-
"loss": 0.
|
572 |
"step": 400
|
573 |
},
|
574 |
{
|
575 |
"epoch": 36.98,
|
576 |
-
"eval_loss": 0.
|
577 |
-
"eval_runtime": 2.
|
578 |
-
"eval_samples_per_second":
|
579 |
-
"eval_steps_per_second":
|
580 |
-
"eval_wer": 0.
|
581 |
"step": 407
|
582 |
},
|
583 |
{
|
584 |
"epoch": 37.27,
|
585 |
-
"learning_rate": 0.
|
586 |
-
"loss": 0.
|
587 |
"step": 410
|
588 |
},
|
589 |
{
|
590 |
"epoch": 37.98,
|
591 |
-
"eval_loss":
|
592 |
-
"eval_runtime": 2.
|
593 |
-
"eval_samples_per_second": 6.
|
594 |
-
"eval_steps_per_second": 2.
|
595 |
-
"eval_wer": 0.
|
596 |
"step": 418
|
597 |
},
|
598 |
{
|
599 |
"epoch": 38.18,
|
600 |
-
"learning_rate": 0.
|
601 |
-
"loss": 0.
|
602 |
"step": 420
|
603 |
},
|
604 |
{
|
605 |
"epoch": 38.98,
|
606 |
-
"eval_loss": 0.
|
607 |
-
"eval_runtime": 2.
|
608 |
-
"eval_samples_per_second": 6.
|
609 |
-
"eval_steps_per_second": 2.
|
610 |
-
"eval_wer": 0.
|
611 |
"step": 429
|
612 |
},
|
613 |
{
|
614 |
"epoch": 39.09,
|
615 |
-
"learning_rate": 0.
|
616 |
-
"loss": 0.
|
617 |
"step": 430
|
618 |
},
|
619 |
{
|
620 |
"epoch": 39.98,
|
621 |
-
"learning_rate": 0.
|
622 |
-
"loss": 0.
|
623 |
"step": 440
|
624 |
},
|
625 |
{
|
626 |
"epoch": 39.98,
|
627 |
-
"eval_loss": 0.
|
628 |
-
"eval_runtime": 2.
|
629 |
-
"eval_samples_per_second": 6.
|
630 |
-
"eval_steps_per_second": 2.
|
631 |
-
"eval_wer": 0.
|
632 |
"step": 440
|
633 |
},
|
634 |
{
|
635 |
"epoch": 40.89,
|
636 |
-
"learning_rate": 0.
|
637 |
-
"loss": 0.
|
638 |
"step": 450
|
639 |
},
|
640 |
{
|
641 |
"epoch": 40.98,
|
642 |
-
"eval_loss": 0.
|
643 |
-
"eval_runtime": 2.
|
644 |
-
"eval_samples_per_second":
|
645 |
-
"eval_steps_per_second": 2.
|
646 |
-
"eval_wer": 0.
|
647 |
"step": 451
|
648 |
},
|
649 |
{
|
650 |
"epoch": 41.8,
|
651 |
-
"learning_rate": 0.
|
652 |
-
"loss": 0.
|
653 |
"step": 460
|
654 |
},
|
655 |
{
|
656 |
"epoch": 41.98,
|
657 |
-
"eval_loss": 0.
|
658 |
-
"eval_runtime": 2.
|
659 |
-
"eval_samples_per_second": 6.
|
660 |
-
"eval_steps_per_second": 2.
|
661 |
-
"eval_wer": 0.
|
662 |
"step": 462
|
663 |
},
|
664 |
{
|
665 |
"epoch": 42.71,
|
666 |
-
"learning_rate": 0.
|
667 |
-
"loss": 0.
|
668 |
"step": 470
|
669 |
},
|
670 |
{
|
671 |
"epoch": 42.98,
|
672 |
-
"eval_loss": 0.
|
673 |
-
"eval_runtime": 2.
|
674 |
-
"eval_samples_per_second": 6.
|
675 |
-
"eval_steps_per_second": 2.
|
676 |
-
"eval_wer": 0.
|
677 |
"step": 473
|
678 |
},
|
679 |
{
|
680 |
"epoch": 43.62,
|
681 |
-
"learning_rate": 0.
|
682 |
-
"loss": 0.
|
683 |
"step": 480
|
684 |
},
|
685 |
{
|
686 |
"epoch": 43.98,
|
687 |
-
"eval_loss": 0.
|
688 |
-
"eval_runtime": 2.
|
689 |
-
"eval_samples_per_second": 6.
|
690 |
-
"eval_steps_per_second": 2.
|
691 |
-
"eval_wer": 0.
|
692 |
"step": 484
|
693 |
},
|
694 |
{
|
695 |
"epoch": 44.53,
|
696 |
-
"learning_rate": 0.
|
697 |
-
"loss": 0.
|
698 |
"step": 490
|
699 |
},
|
700 |
{
|
701 |
"epoch": 44.98,
|
702 |
-
"eval_loss": 0.
|
703 |
-
"eval_runtime": 2.
|
704 |
-
"eval_samples_per_second": 6.
|
705 |
-
"eval_steps_per_second": 2.
|
706 |
-
"eval_wer": 0.
|
707 |
"step": 495
|
708 |
},
|
709 |
{
|
710 |
"epoch": 45.44,
|
711 |
-
"learning_rate": 0.
|
712 |
-
"loss": 0.
|
713 |
"step": 500
|
714 |
},
|
715 |
{
|
716 |
"epoch": 45.98,
|
717 |
-
"eval_loss": 0.
|
718 |
-
"eval_runtime": 2.
|
719 |
-
"eval_samples_per_second": 6.
|
720 |
-
"eval_steps_per_second": 2.
|
721 |
-
"eval_wer": 0.
|
722 |
"step": 506
|
723 |
},
|
724 |
{
|
725 |
"epoch": 46.36,
|
726 |
-
"learning_rate": 0.
|
727 |
-
"loss": 0.
|
728 |
"step": 510
|
729 |
},
|
730 |
{
|
731 |
"epoch": 46.98,
|
732 |
-
"eval_loss": 0.
|
733 |
-
"eval_runtime": 2.
|
734 |
-
"eval_samples_per_second": 6.
|
735 |
-
"eval_steps_per_second": 2.
|
736 |
-
"eval_wer": 0.
|
737 |
"step": 517
|
738 |
},
|
739 |
{
|
740 |
"epoch": 47.27,
|
741 |
-
"learning_rate": 0.
|
742 |
-
"loss": 0.
|
743 |
"step": 520
|
744 |
},
|
745 |
{
|
746 |
"epoch": 47.98,
|
747 |
-
"eval_loss": 0.
|
748 |
-
"eval_runtime": 2.
|
749 |
-
"eval_samples_per_second": 6.
|
750 |
-
"eval_steps_per_second": 2.
|
751 |
-
"eval_wer": 0.
|
752 |
"step": 528
|
753 |
},
|
754 |
{
|
755 |
"epoch": 48.18,
|
756 |
-
"learning_rate": 0.
|
757 |
-
"loss": 0.
|
758 |
"step": 530
|
759 |
},
|
760 |
{
|
761 |
"epoch": 48.98,
|
762 |
-
"eval_loss": 0.
|
763 |
-
"eval_runtime": 2.
|
764 |
-
"eval_samples_per_second": 6.
|
765 |
-
"eval_steps_per_second": 2.
|
766 |
-
"eval_wer": 0.
|
767 |
"step": 539
|
768 |
},
|
769 |
{
|
770 |
"epoch": 49.09,
|
771 |
-
"learning_rate": 0.
|
772 |
-
"loss": 0.
|
773 |
"step": 540
|
774 |
},
|
775 |
{
|
776 |
"epoch": 49.98,
|
777 |
-
"learning_rate": 0.
|
778 |
-
"loss": 0.
|
779 |
"step": 550
|
780 |
},
|
781 |
{
|
782 |
"epoch": 49.98,
|
783 |
-
"eval_loss": 0.
|
784 |
-
"eval_runtime": 2.
|
785 |
-
"eval_samples_per_second": 6.
|
786 |
-
"eval_steps_per_second": 2.
|
787 |
-
"eval_wer": 0.
|
788 |
"step": 550
|
789 |
},
|
790 |
{
|
791 |
"epoch": 50.89,
|
792 |
-
"learning_rate": 0.
|
793 |
-
"loss": 0.
|
794 |
"step": 560
|
795 |
},
|
796 |
{
|
797 |
"epoch": 50.98,
|
798 |
-
"eval_loss": 0.
|
799 |
-
"eval_runtime": 2.
|
800 |
-
"eval_samples_per_second": 6.
|
801 |
-
"eval_steps_per_second": 2.
|
802 |
-
"eval_wer": 0.
|
803 |
"step": 561
|
804 |
},
|
805 |
{
|
806 |
"epoch": 51.8,
|
807 |
-
"learning_rate": 0.
|
808 |
-
"loss": 0.
|
809 |
"step": 570
|
810 |
},
|
811 |
{
|
812 |
"epoch": 51.98,
|
813 |
-
"eval_loss": 0.
|
814 |
-
"eval_runtime": 2.
|
815 |
-
"eval_samples_per_second": 6.
|
816 |
-
"eval_steps_per_second": 2.
|
817 |
-
"eval_wer": 0.
|
818 |
"step": 572
|
819 |
},
|
820 |
{
|
821 |
"epoch": 52.71,
|
822 |
-
"learning_rate": 0.
|
823 |
-
"loss": 0.
|
824 |
"step": 580
|
825 |
},
|
826 |
{
|
827 |
"epoch": 52.98,
|
828 |
-
"eval_loss": 0.
|
829 |
-
"eval_runtime": 2.
|
830 |
-
"eval_samples_per_second": 6.
|
831 |
-
"eval_steps_per_second": 2.
|
832 |
-
"eval_wer": 0.
|
833 |
"step": 583
|
834 |
},
|
835 |
{
|
836 |
"epoch": 53.62,
|
837 |
-
"learning_rate": 0.
|
838 |
-
"loss": 0.
|
839 |
"step": 590
|
840 |
},
|
841 |
{
|
842 |
"epoch": 53.98,
|
843 |
-
"eval_loss": 0.
|
844 |
-
"eval_runtime": 2.
|
845 |
-
"eval_samples_per_second": 6.
|
846 |
-
"eval_steps_per_second": 2.
|
847 |
-
"eval_wer": 0.
|
848 |
"step": 594
|
849 |
},
|
850 |
{
|
851 |
"epoch": 54.53,
|
852 |
-
"learning_rate": 0.
|
853 |
-
"loss": 0.
|
854 |
"step": 600
|
855 |
},
|
856 |
{
|
857 |
"epoch": 54.98,
|
858 |
-
"eval_loss": 0.
|
859 |
-
"eval_runtime": 2.
|
860 |
-
"eval_samples_per_second": 6.
|
861 |
-
"eval_steps_per_second": 2.
|
862 |
-
"eval_wer": 0.
|
863 |
"step": 605
|
864 |
},
|
865 |
{
|
866 |
"epoch": 55.44,
|
867 |
-
"learning_rate": 0.
|
868 |
-
"loss": 0.
|
869 |
"step": 610
|
870 |
},
|
871 |
{
|
872 |
"epoch": 55.98,
|
873 |
-
"eval_loss": 0.
|
874 |
-
"eval_runtime": 2.
|
875 |
-
"eval_samples_per_second": 6.
|
876 |
-
"eval_steps_per_second": 2.
|
877 |
-
"eval_wer": 0.
|
878 |
"step": 616
|
879 |
},
|
880 |
{
|
881 |
"epoch": 56.36,
|
882 |
-
"learning_rate": 0.
|
883 |
-
"loss": 0.
|
884 |
"step": 620
|
885 |
},
|
886 |
{
|
887 |
"epoch": 56.98,
|
888 |
-
"eval_loss": 0.
|
889 |
-
"eval_runtime": 2.
|
890 |
-
"eval_samples_per_second": 6.
|
891 |
-
"eval_steps_per_second": 2.
|
892 |
-
"eval_wer": 0.
|
893 |
"step": 627
|
894 |
},
|
895 |
{
|
896 |
"epoch": 57.27,
|
897 |
-
"learning_rate": 0.
|
898 |
-
"loss": 0.
|
899 |
"step": 630
|
900 |
},
|
901 |
{
|
902 |
"epoch": 57.98,
|
903 |
-
"eval_loss": 0.
|
904 |
-
"eval_runtime": 2.
|
905 |
-
"eval_samples_per_second": 6.
|
906 |
-
"eval_steps_per_second": 2.
|
907 |
-
"eval_wer": 0.
|
908 |
"step": 638
|
909 |
},
|
910 |
{
|
911 |
"epoch": 58.18,
|
912 |
-
"learning_rate": 0.
|
913 |
-
"loss": 0.
|
914 |
"step": 640
|
915 |
},
|
916 |
{
|
917 |
"epoch": 58.98,
|
918 |
-
"eval_loss": 0.
|
919 |
-
"eval_runtime": 2.
|
920 |
-
"eval_samples_per_second": 6.
|
921 |
-
"eval_steps_per_second": 2.
|
922 |
-
"eval_wer": 0.
|
923 |
"step": 649
|
924 |
},
|
925 |
{
|
926 |
"epoch": 59.09,
|
927 |
-
"learning_rate": 0.
|
928 |
-
"loss": 0.
|
929 |
"step": 650
|
930 |
},
|
931 |
{
|
932 |
"epoch": 59.98,
|
933 |
-
"learning_rate": 0.
|
934 |
-
"loss": 0.
|
935 |
"step": 660
|
936 |
},
|
937 |
{
|
938 |
"epoch": 59.98,
|
939 |
-
"eval_loss": 0.
|
940 |
-
"eval_runtime": 2.
|
941 |
-
"eval_samples_per_second": 6.
|
942 |
-
"eval_steps_per_second": 2.
|
943 |
-
"eval_wer": 0.
|
944 |
"step": 660
|
945 |
},
|
946 |
{
|
947 |
"epoch": 60.89,
|
948 |
-
"learning_rate": 0.
|
949 |
-
"loss": 0.
|
950 |
"step": 670
|
951 |
},
|
952 |
{
|
953 |
"epoch": 60.98,
|
954 |
-
"eval_loss": 0.
|
955 |
-
"eval_runtime": 2.
|
956 |
-
"eval_samples_per_second": 6.
|
957 |
-
"eval_steps_per_second": 2.
|
958 |
-
"eval_wer": 0.
|
959 |
"step": 671
|
960 |
},
|
961 |
{
|
962 |
"epoch": 61.8,
|
963 |
-
"learning_rate": 0.
|
964 |
-
"loss": 0.
|
965 |
"step": 680
|
966 |
},
|
967 |
{
|
968 |
"epoch": 61.98,
|
969 |
-
"eval_loss": 0.
|
970 |
-
"eval_runtime": 2.
|
971 |
-
"eval_samples_per_second": 6.
|
972 |
-
"eval_steps_per_second": 2.
|
973 |
-
"eval_wer": 0.
|
974 |
"step": 682
|
975 |
},
|
976 |
{
|
977 |
"epoch": 62.71,
|
978 |
-
"learning_rate": 0.
|
979 |
-
"loss": 0.
|
980 |
"step": 690
|
981 |
},
|
982 |
{
|
983 |
"epoch": 62.98,
|
984 |
-
"eval_loss": 0.
|
985 |
-
"eval_runtime": 2.
|
986 |
-
"eval_samples_per_second": 6.
|
987 |
-
"eval_steps_per_second": 2.
|
988 |
-
"eval_wer": 0.
|
989 |
"step": 693
|
990 |
},
|
991 |
{
|
992 |
"epoch": 63.62,
|
993 |
-
"learning_rate": 0.
|
994 |
-
"loss": 0.
|
995 |
"step": 700
|
996 |
},
|
997 |
{
|
998 |
"epoch": 63.98,
|
999 |
-
"eval_loss": 0.
|
1000 |
-
"eval_runtime": 2.
|
1001 |
-
"eval_samples_per_second": 6.
|
1002 |
-
"eval_steps_per_second": 2.
|
1003 |
-
"eval_wer": 0.
|
1004 |
"step": 704
|
1005 |
},
|
1006 |
{
|
1007 |
"epoch": 64.53,
|
1008 |
-
"learning_rate": 0.
|
1009 |
-
"loss": 0.
|
1010 |
"step": 710
|
1011 |
},
|
1012 |
{
|
1013 |
"epoch": 64.98,
|
1014 |
-
"eval_loss": 0.
|
1015 |
-
"eval_runtime": 2.
|
1016 |
-
"eval_samples_per_second": 6.
|
1017 |
-
"eval_steps_per_second": 2.
|
1018 |
-
"eval_wer": 0.
|
1019 |
"step": 715
|
1020 |
},
|
1021 |
{
|
1022 |
"epoch": 65.44,
|
1023 |
-
"learning_rate": 0.
|
1024 |
-
"loss": 0.
|
1025 |
"step": 720
|
1026 |
},
|
1027 |
{
|
1028 |
"epoch": 65.98,
|
1029 |
-
"eval_loss": 0.
|
1030 |
-
"eval_runtime": 2.
|
1031 |
-
"eval_samples_per_second":
|
1032 |
-
"eval_steps_per_second": 2.
|
1033 |
-
"eval_wer": 0.
|
1034 |
"step": 726
|
1035 |
},
|
1036 |
{
|
1037 |
"epoch": 66.36,
|
1038 |
-
"learning_rate": 0.
|
1039 |
-
"loss": 0.
|
1040 |
"step": 730
|
1041 |
},
|
1042 |
{
|
1043 |
"epoch": 66.98,
|
1044 |
-
"eval_loss": 0.
|
1045 |
-
"eval_runtime": 2.
|
1046 |
-
"eval_samples_per_second": 6.
|
1047 |
-
"eval_steps_per_second": 2.
|
1048 |
-
"eval_wer": 0.
|
1049 |
"step": 737
|
1050 |
},
|
1051 |
{
|
1052 |
"epoch": 67.27,
|
1053 |
-
"learning_rate": 0.
|
1054 |
-
"loss": 0.
|
1055 |
"step": 740
|
1056 |
},
|
1057 |
{
|
1058 |
"epoch": 67.98,
|
1059 |
-
"eval_loss": 0.
|
1060 |
-
"eval_runtime": 2.
|
1061 |
-
"eval_samples_per_second": 6.
|
1062 |
-
"eval_steps_per_second": 2.
|
1063 |
-
"eval_wer": 0.
|
1064 |
"step": 748
|
1065 |
},
|
1066 |
{
|
1067 |
"epoch": 68.18,
|
1068 |
-
"learning_rate": 9.
|
1069 |
-
"loss": 0.
|
1070 |
"step": 750
|
1071 |
},
|
1072 |
{
|
1073 |
"epoch": 68.98,
|
1074 |
-
"eval_loss": 0.
|
1075 |
-
"eval_runtime": 2.
|
1076 |
-
"eval_samples_per_second": 6.
|
1077 |
-
"eval_steps_per_second": 2.
|
1078 |
-
"eval_wer": 0.
|
1079 |
"step": 759
|
1080 |
},
|
1081 |
{
|
1082 |
"epoch": 69.09,
|
1083 |
-
"learning_rate": 9.
|
1084 |
-
"loss": 0.
|
1085 |
"step": 760
|
1086 |
},
|
1087 |
{
|
1088 |
"epoch": 69.98,
|
1089 |
-
"learning_rate": 9.
|
1090 |
-
"loss": 0.
|
1091 |
"step": 770
|
1092 |
},
|
1093 |
{
|
1094 |
"epoch": 69.98,
|
1095 |
-
"eval_loss": 0.
|
1096 |
-
"eval_runtime": 2.
|
1097 |
-
"eval_samples_per_second": 6.
|
1098 |
-
"eval_steps_per_second": 1.
|
1099 |
-
"eval_wer": 0.
|
1100 |
"step": 770
|
1101 |
},
|
1102 |
{
|
1103 |
"epoch": 70.89,
|
1104 |
-
"learning_rate":
|
1105 |
-
"loss": 0.
|
1106 |
"step": 780
|
1107 |
},
|
1108 |
{
|
1109 |
"epoch": 70.98,
|
1110 |
-
"eval_loss": 0.
|
1111 |
-
"eval_runtime": 2.
|
1112 |
-
"eval_samples_per_second": 6.
|
1113 |
-
"eval_steps_per_second":
|
1114 |
-
"eval_wer": 0.
|
1115 |
"step": 781
|
1116 |
},
|
1117 |
{
|
1118 |
"epoch": 71.8,
|
1119 |
-
"learning_rate": 8.
|
1120 |
-
"loss": 0.
|
1121 |
"step": 790
|
1122 |
},
|
1123 |
{
|
1124 |
"epoch": 71.98,
|
1125 |
-
"eval_loss": 0.
|
1126 |
-
"eval_runtime": 2.
|
1127 |
-
"eval_samples_per_second": 6.
|
1128 |
-
"eval_steps_per_second": 2.
|
1129 |
-
"eval_wer": 0.
|
1130 |
"step": 792
|
1131 |
},
|
1132 |
{
|
1133 |
"epoch": 72.71,
|
1134 |
-
"learning_rate": 8.
|
1135 |
-
"loss": 0.
|
1136 |
"step": 800
|
1137 |
},
|
1138 |
{
|
1139 |
"epoch": 72.98,
|
1140 |
-
"eval_loss": 0.
|
1141 |
-
"eval_runtime": 2.
|
1142 |
-
"eval_samples_per_second": 6.
|
1143 |
-
"eval_steps_per_second": 2.
|
1144 |
-
"eval_wer": 0.
|
1145 |
"step": 803
|
1146 |
},
|
1147 |
{
|
1148 |
"epoch": 73.62,
|
1149 |
-
"learning_rate": 8.
|
1150 |
-
"loss": 0.
|
1151 |
"step": 810
|
1152 |
},
|
1153 |
{
|
1154 |
"epoch": 73.98,
|
1155 |
-
"eval_loss": 0.
|
1156 |
-
"eval_runtime": 2.
|
1157 |
-
"eval_samples_per_second": 6.
|
1158 |
-
"eval_steps_per_second": 2.
|
1159 |
-
"eval_wer": 0.
|
1160 |
"step": 814
|
1161 |
},
|
1162 |
{
|
1163 |
"epoch": 74.53,
|
1164 |
-
"learning_rate":
|
1165 |
-
"loss": 0.
|
1166 |
"step": 820
|
1167 |
},
|
1168 |
{
|
1169 |
"epoch": 74.98,
|
1170 |
-
"eval_loss": 0.
|
1171 |
-
"eval_runtime": 2.
|
1172 |
-
"eval_samples_per_second": 6.
|
1173 |
-
"eval_steps_per_second": 2.
|
1174 |
-
"eval_wer": 0.
|
1175 |
"step": 825
|
1176 |
},
|
1177 |
{
|
1178 |
"epoch": 75.44,
|
1179 |
-
"learning_rate": 7.
|
1180 |
-
"loss": 0.
|
1181 |
"step": 830
|
1182 |
},
|
1183 |
{
|
1184 |
"epoch": 75.98,
|
1185 |
-
"eval_loss": 0.
|
1186 |
-
"eval_runtime": 2.
|
1187 |
-
"eval_samples_per_second": 6.
|
1188 |
-
"eval_steps_per_second": 2.
|
1189 |
-
"eval_wer": 0.
|
1190 |
"step": 836
|
1191 |
},
|
1192 |
{
|
1193 |
"epoch": 76.36,
|
1194 |
-
"learning_rate": 7.
|
1195 |
-
"loss": 0.
|
1196 |
"step": 840
|
1197 |
},
|
1198 |
{
|
1199 |
"epoch": 76.98,
|
1200 |
-
"eval_loss": 0.
|
1201 |
-
"eval_runtime": 2.
|
1202 |
-
"eval_samples_per_second": 6.
|
1203 |
-
"eval_steps_per_second": 2.
|
1204 |
-
"eval_wer": 0.
|
1205 |
"step": 847
|
1206 |
},
|
1207 |
{
|
1208 |
"epoch": 77.27,
|
1209 |
-
"learning_rate": 7.
|
1210 |
-
"loss": 0.
|
1211 |
"step": 850
|
1212 |
},
|
1213 |
{
|
1214 |
"epoch": 77.98,
|
1215 |
-
"eval_loss": 0.
|
1216 |
-
"eval_runtime": 2.
|
1217 |
-
"eval_samples_per_second": 6.
|
1218 |
-
"eval_steps_per_second": 2.
|
1219 |
-
"eval_wer": 0.
|
1220 |
"step": 858
|
1221 |
},
|
1222 |
{
|
1223 |
"epoch": 78.18,
|
1224 |
-
"learning_rate": 6.
|
1225 |
-
"loss": 0.
|
1226 |
"step": 860
|
1227 |
},
|
1228 |
{
|
1229 |
"epoch": 78.98,
|
1230 |
-
"eval_loss": 0.
|
1231 |
-
"eval_runtime": 2.
|
1232 |
-
"eval_samples_per_second": 6.
|
1233 |
-
"eval_steps_per_second": 2.
|
1234 |
-
"eval_wer": 0.
|
1235 |
"step": 869
|
1236 |
},
|
1237 |
{
|
1238 |
"epoch": 79.09,
|
1239 |
-
"learning_rate": 6.
|
1240 |
-
"loss": 0.
|
1241 |
"step": 870
|
1242 |
},
|
1243 |
{
|
1244 |
"epoch": 79.98,
|
1245 |
-
"learning_rate": 6.
|
1246 |
-
"loss": 0.
|
1247 |
"step": 880
|
1248 |
},
|
1249 |
{
|
1250 |
"epoch": 79.98,
|
1251 |
-
"eval_loss": 0.
|
1252 |
-
"eval_runtime": 2.
|
1253 |
-
"eval_samples_per_second": 6.
|
1254 |
-
"eval_steps_per_second": 2.
|
1255 |
-
"eval_wer": 0.
|
1256 |
"step": 880
|
1257 |
},
|
1258 |
{
|
1259 |
"epoch": 80.89,
|
1260 |
-
"learning_rate":
|
1261 |
-
"loss": 0.
|
1262 |
"step": 890
|
1263 |
},
|
1264 |
{
|
1265 |
"epoch": 80.98,
|
1266 |
-
"eval_loss": 0.
|
1267 |
-
"eval_runtime": 2.
|
1268 |
-
"eval_samples_per_second": 6.
|
1269 |
-
"eval_steps_per_second": 2.
|
1270 |
-
"eval_wer": 0.
|
1271 |
"step": 891
|
1272 |
},
|
1273 |
{
|
1274 |
"epoch": 81.8,
|
1275 |
-
"learning_rate": 5.
|
1276 |
-
"loss": 0.
|
1277 |
"step": 900
|
1278 |
},
|
1279 |
{
|
1280 |
"epoch": 81.98,
|
1281 |
-
"eval_loss": 0.
|
1282 |
-
"eval_runtime": 2.
|
1283 |
-
"eval_samples_per_second": 6.
|
1284 |
-
"eval_steps_per_second": 2.
|
1285 |
-
"eval_wer": 0.
|
1286 |
"step": 902
|
1287 |
},
|
1288 |
{
|
1289 |
"epoch": 82.71,
|
1290 |
-
"learning_rate": 5.
|
1291 |
-
"loss": 0.
|
1292 |
"step": 910
|
1293 |
},
|
1294 |
{
|
1295 |
"epoch": 82.98,
|
1296 |
-
"eval_loss": 0.
|
1297 |
-
"eval_runtime": 2.
|
1298 |
-
"eval_samples_per_second": 6.
|
1299 |
-
"eval_steps_per_second": 2.
|
1300 |
-
"eval_wer": 0.
|
1301 |
"step": 913
|
1302 |
},
|
1303 |
{
|
1304 |
"epoch": 83.62,
|
1305 |
-
"learning_rate": 5.
|
1306 |
-
"loss": 0.
|
1307 |
"step": 920
|
1308 |
},
|
1309 |
{
|
1310 |
"epoch": 83.98,
|
1311 |
-
"eval_loss": 0.
|
1312 |
-
"eval_runtime": 2.
|
1313 |
-
"eval_samples_per_second": 6.
|
1314 |
-
"eval_steps_per_second":
|
1315 |
-
"eval_wer": 0.
|
1316 |
"step": 924
|
1317 |
},
|
1318 |
{
|
1319 |
"epoch": 84.53,
|
1320 |
-
"learning_rate": 4.
|
1321 |
-
"loss": 0.
|
1322 |
"step": 930
|
1323 |
},
|
1324 |
{
|
1325 |
"epoch": 84.98,
|
1326 |
-
"eval_loss": 0.
|
1327 |
-
"eval_runtime": 2.
|
1328 |
-
"eval_samples_per_second": 6.
|
1329 |
-
"eval_steps_per_second": 2.
|
1330 |
-
"eval_wer": 0.
|
1331 |
"step": 935
|
1332 |
},
|
1333 |
{
|
1334 |
"epoch": 85.44,
|
1335 |
-
"learning_rate": 4.
|
1336 |
-
"loss": 0.
|
1337 |
"step": 940
|
1338 |
},
|
1339 |
{
|
1340 |
"epoch": 85.98,
|
1341 |
-
"eval_loss": 0.
|
1342 |
-
"eval_runtime": 2.
|
1343 |
-
"eval_samples_per_second": 6.
|
1344 |
-
"eval_steps_per_second": 2.
|
1345 |
-
"eval_wer": 0.
|
1346 |
"step": 946
|
1347 |
},
|
1348 |
{
|
1349 |
"epoch": 86.36,
|
1350 |
-
"learning_rate": 4.
|
1351 |
-
"loss": 0.
|
1352 |
"step": 950
|
1353 |
},
|
1354 |
{
|
1355 |
"epoch": 86.98,
|
1356 |
-
"eval_loss": 0.
|
1357 |
-
"eval_runtime": 2.
|
1358 |
-
"eval_samples_per_second": 6.
|
1359 |
-
"eval_steps_per_second": 2.
|
1360 |
-
"eval_wer": 0.
|
1361 |
"step": 957
|
1362 |
},
|
1363 |
{
|
1364 |
"epoch": 87.27,
|
1365 |
-
"learning_rate":
|
1366 |
-
"loss": 0.
|
1367 |
"step": 960
|
1368 |
},
|
1369 |
{
|
1370 |
"epoch": 87.98,
|
1371 |
-
"eval_loss": 0.
|
1372 |
-
"eval_runtime": 2.
|
1373 |
-
"eval_samples_per_second": 6.
|
1374 |
-
"eval_steps_per_second": 2.
|
1375 |
-
"eval_wer": 0.
|
1376 |
"step": 968
|
1377 |
},
|
1378 |
{
|
1379 |
"epoch": 88.18,
|
1380 |
-
"learning_rate": 3.
|
1381 |
-
"loss": 0.
|
1382 |
"step": 970
|
1383 |
},
|
1384 |
{
|
1385 |
"epoch": 88.98,
|
1386 |
-
"eval_loss": 0.
|
1387 |
-
"eval_runtime": 2.
|
1388 |
-
"eval_samples_per_second": 6.
|
1389 |
-
"eval_steps_per_second": 2.
|
1390 |
-
"eval_wer": 0.
|
1391 |
"step": 979
|
1392 |
},
|
1393 |
{
|
1394 |
"epoch": 89.09,
|
1395 |
-
"learning_rate": 3.
|
1396 |
-
"loss": 0.
|
1397 |
"step": 980
|
1398 |
},
|
1399 |
{
|
1400 |
"epoch": 89.98,
|
1401 |
-
"learning_rate": 3.
|
1402 |
-
"loss": 0.
|
1403 |
"step": 990
|
1404 |
},
|
1405 |
{
|
1406 |
"epoch": 89.98,
|
1407 |
-
"eval_loss": 0.
|
1408 |
-
"eval_runtime": 2.
|
1409 |
-
"eval_samples_per_second": 6.
|
1410 |
-
"eval_steps_per_second": 2.
|
1411 |
-
"eval_wer": 0.
|
1412 |
"step": 990
|
1413 |
},
|
1414 |
{
|
1415 |
"epoch": 90.89,
|
1416 |
-
"learning_rate": 2.
|
1417 |
-
"loss": 0.
|
1418 |
"step": 1000
|
1419 |
},
|
1420 |
{
|
1421 |
"epoch": 90.98,
|
1422 |
-
"eval_loss": 0.
|
1423 |
-
"eval_runtime": 2.
|
1424 |
-
"eval_samples_per_second": 6.
|
1425 |
-
"eval_steps_per_second": 2.
|
1426 |
-
"eval_wer": 0.
|
1427 |
"step": 1001
|
1428 |
},
|
1429 |
{
|
1430 |
"epoch": 91.8,
|
1431 |
-
"learning_rate": 2.
|
1432 |
-
"loss": 0.
|
1433 |
"step": 1010
|
1434 |
},
|
1435 |
{
|
1436 |
"epoch": 91.98,
|
1437 |
-
"eval_loss": 0.
|
1438 |
-
"eval_runtime": 2.
|
1439 |
-
"eval_samples_per_second": 6.
|
1440 |
-
"eval_steps_per_second": 2.
|
1441 |
-
"eval_wer": 0.
|
1442 |
"step": 1012
|
1443 |
},
|
1444 |
{
|
1445 |
"epoch": 92.71,
|
1446 |
-
"learning_rate": 2.
|
1447 |
-
"loss": 0.
|
1448 |
"step": 1020
|
1449 |
},
|
1450 |
{
|
1451 |
"epoch": 92.98,
|
1452 |
-
"eval_loss": 0.
|
1453 |
-
"eval_runtime": 2.
|
1454 |
-
"eval_samples_per_second": 6.
|
1455 |
-
"eval_steps_per_second":
|
1456 |
-
"eval_wer": 0.
|
1457 |
"step": 1023
|
1458 |
},
|
1459 |
{
|
1460 |
"epoch": 93.62,
|
1461 |
-
"learning_rate":
|
1462 |
-
"loss": 0.
|
1463 |
"step": 1030
|
1464 |
},
|
1465 |
{
|
1466 |
"epoch": 93.98,
|
1467 |
-
"eval_loss": 0.
|
1468 |
-
"eval_runtime": 2.
|
1469 |
-
"eval_samples_per_second": 6.
|
1470 |
-
"eval_steps_per_second": 2.
|
1471 |
-
"eval_wer": 0.
|
1472 |
"step": 1034
|
1473 |
},
|
1474 |
{
|
1475 |
"epoch": 94.53,
|
1476 |
-
"learning_rate": 1.
|
1477 |
-
"loss": 0.
|
1478 |
"step": 1040
|
1479 |
},
|
1480 |
{
|
1481 |
"epoch": 94.98,
|
1482 |
-
"eval_loss": 0.
|
1483 |
-
"eval_runtime": 2.
|
1484 |
-
"eval_samples_per_second": 6.
|
1485 |
-
"eval_steps_per_second": 2.
|
1486 |
-
"eval_wer": 0.
|
1487 |
"step": 1045
|
1488 |
},
|
1489 |
{
|
1490 |
"epoch": 95.44,
|
1491 |
-
"learning_rate": 1.
|
1492 |
-
"loss": 0.
|
1493 |
"step": 1050
|
1494 |
},
|
1495 |
{
|
1496 |
"epoch": 95.98,
|
1497 |
-
"eval_loss": 0.
|
1498 |
-
"eval_runtime": 2.
|
1499 |
-
"eval_samples_per_second": 6.
|
1500 |
-
"eval_steps_per_second": 2.
|
1501 |
-
"eval_wer": 0.
|
1502 |
"step": 1056
|
1503 |
},
|
1504 |
{
|
1505 |
"epoch": 96.36,
|
1506 |
-
"learning_rate": 1.
|
1507 |
-
"loss": 0.
|
1508 |
"step": 1060
|
1509 |
},
|
1510 |
{
|
1511 |
"epoch": 96.98,
|
1512 |
-
"eval_loss": 0.
|
1513 |
-
"eval_runtime": 2.
|
1514 |
-
"eval_samples_per_second": 6.
|
1515 |
-
"eval_steps_per_second":
|
1516 |
-
"eval_wer": 0.
|
1517 |
"step": 1067
|
1518 |
},
|
1519 |
{
|
1520 |
"epoch": 97.27,
|
1521 |
-
"learning_rate":
|
1522 |
-
"loss": 0.
|
1523 |
"step": 1070
|
1524 |
},
|
1525 |
{
|
1526 |
"epoch": 97.98,
|
1527 |
-
"eval_loss": 0.
|
1528 |
-
"eval_runtime": 2.
|
1529 |
-
"eval_samples_per_second": 6.
|
1530 |
-
"eval_steps_per_second":
|
1531 |
-
"eval_wer": 0.
|
1532 |
"step": 1078
|
1533 |
},
|
1534 |
{
|
1535 |
"epoch": 98.18,
|
1536 |
-
"learning_rate":
|
1537 |
-
"loss": 0.
|
1538 |
"step": 1080
|
1539 |
},
|
1540 |
{
|
1541 |
"epoch": 98.98,
|
1542 |
-
"eval_loss": 0.
|
1543 |
-
"eval_runtime": 2.
|
1544 |
-
"eval_samples_per_second": 6.
|
1545 |
-
"eval_steps_per_second": 2.
|
1546 |
-
"eval_wer": 0.
|
1547 |
"step": 1089
|
1548 |
},
|
1549 |
{
|
1550 |
"epoch": 99.09,
|
1551 |
-
"learning_rate":
|
1552 |
-
"loss": 0.
|
1553 |
"step": 1090
|
1554 |
},
|
1555 |
{
|
1556 |
"epoch": 99.98,
|
1557 |
-
"learning_rate":
|
1558 |
-
"loss": 0.
|
1559 |
"step": 1100
|
1560 |
},
|
1561 |
{
|
1562 |
"epoch": 99.98,
|
1563 |
-
"eval_loss": 0.
|
1564 |
-
"eval_runtime": 2.
|
1565 |
-
"eval_samples_per_second": 6.
|
1566 |
-
"eval_steps_per_second": 2.
|
1567 |
-
"eval_wer": 0.
|
1568 |
"step": 1100
|
1569 |
},
|
1570 |
{
|
1571 |
"epoch": 99.98,
|
1572 |
"step": 1100,
|
1573 |
"total_flos": 1.8082449930602819e+18,
|
1574 |
-
"train_loss": 0.
|
1575 |
-
"train_runtime":
|
1576 |
-
"train_samples_per_second": 4.
|
1577 |
-
"train_steps_per_second": 0.
|
1578 |
}
|
1579 |
],
|
1580 |
"max_steps": 1100,
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.42036938667297363,
|
3 |
+
"best_model_checkpoint": "ai-light-dance_drums_ft_pretrain_wav2vec2-base-new_onset-idmt-mdb-2/checkpoint-374",
|
4 |
"epoch": 99.97777777777777,
|
5 |
"global_step": 1100,
|
6 |
"is_hyper_param_search": false,
|
|
|
9 |
"log_history": [
|
10 |
{
|
11 |
"epoch": 0.89,
|
12 |
+
"learning_rate": 9.999999999999999e-05,
|
13 |
+
"loss": 0.2599,
|
14 |
"step": 10
|
15 |
},
|
16 |
{
|
17 |
"epoch": 0.98,
|
18 |
+
"eval_loss": 0.42808040976524353,
|
19 |
+
"eval_runtime": 2.3932,
|
20 |
+
"eval_samples_per_second": 7.103,
|
21 |
+
"eval_steps_per_second": 2.089,
|
22 |
+
"eval_wer": 0.21976401179941002,
|
23 |
"step": 11
|
24 |
},
|
25 |
{
|
26 |
"epoch": 1.8,
|
27 |
+
"learning_rate": 0.00019999999999999998,
|
28 |
+
"loss": 0.2491,
|
29 |
"step": 20
|
30 |
},
|
31 |
{
|
32 |
"epoch": 1.98,
|
33 |
+
"eval_loss": 0.48912692070007324,
|
34 |
+
"eval_runtime": 2.4857,
|
35 |
+
"eval_samples_per_second": 6.839,
|
36 |
+
"eval_steps_per_second": 2.011,
|
37 |
+
"eval_wer": 0.19469026548672566,
|
38 |
"step": 22
|
39 |
},
|
40 |
{
|
41 |
"epoch": 2.71,
|
42 |
+
"learning_rate": 0.0003,
|
43 |
+
"loss": 0.2619,
|
44 |
"step": 30
|
45 |
},
|
46 |
{
|
47 |
"epoch": 2.98,
|
48 |
+
"eval_loss": 0.5496053099632263,
|
49 |
+
"eval_runtime": 2.4967,
|
50 |
+
"eval_samples_per_second": 6.809,
|
51 |
+
"eval_steps_per_second": 2.003,
|
52 |
+
"eval_wer": 0.2182890855457227,
|
53 |
"step": 33
|
54 |
},
|
55 |
{
|
56 |
"epoch": 3.62,
|
57 |
+
"learning_rate": 0.00029747663551401866,
|
58 |
+
"loss": 0.3354,
|
59 |
"step": 40
|
60 |
},
|
61 |
{
|
62 |
"epoch": 3.98,
|
63 |
+
"eval_loss": 0.5201741456985474,
|
64 |
+
"eval_runtime": 2.5002,
|
65 |
+
"eval_samples_per_second": 6.799,
|
66 |
+
"eval_steps_per_second": 2.0,
|
67 |
+
"eval_wer": 0.20943952802359883,
|
68 |
"step": 44
|
69 |
},
|
70 |
{
|
71 |
"epoch": 4.53,
|
72 |
+
"learning_rate": 0.0002946728971962617,
|
73 |
+
"loss": 0.277,
|
74 |
"step": 50
|
75 |
},
|
76 |
{
|
77 |
"epoch": 4.98,
|
78 |
+
"eval_loss": 0.4573761224746704,
|
79 |
+
"eval_runtime": 2.5614,
|
80 |
+
"eval_samples_per_second": 6.637,
|
81 |
+
"eval_steps_per_second": 1.952,
|
82 |
+
"eval_wer": 0.2079646017699115,
|
83 |
"step": 55
|
84 |
},
|
85 |
{
|
86 |
"epoch": 5.44,
|
87 |
+
"learning_rate": 0.00029186915887850464,
|
88 |
+
"loss": 0.3065,
|
89 |
"step": 60
|
90 |
},
|
91 |
{
|
92 |
"epoch": 5.98,
|
93 |
+
"eval_loss": 0.47488853335380554,
|
94 |
+
"eval_runtime": 2.5674,
|
95 |
+
"eval_samples_per_second": 6.621,
|
96 |
+
"eval_steps_per_second": 1.947,
|
97 |
+
"eval_wer": 0.2079646017699115,
|
98 |
"step": 66
|
99 |
},
|
100 |
{
|
101 |
"epoch": 6.36,
|
102 |
+
"learning_rate": 0.00028906542056074766,
|
103 |
+
"loss": 0.2669,
|
104 |
"step": 70
|
105 |
},
|
106 |
{
|
107 |
"epoch": 6.98,
|
108 |
+
"eval_loss": 0.5901708602905273,
|
109 |
+
"eval_runtime": 2.5163,
|
110 |
+
"eval_samples_per_second": 6.756,
|
111 |
+
"eval_steps_per_second": 1.987,
|
112 |
+
"eval_wer": 0.2182890855457227,
|
113 |
"step": 77
|
114 |
},
|
115 |
{
|
116 |
"epoch": 7.27,
|
117 |
+
"learning_rate": 0.0002862616822429906,
|
118 |
+
"loss": 0.2829,
|
119 |
"step": 80
|
120 |
},
|
121 |
{
|
122 |
"epoch": 7.98,
|
123 |
+
"eval_loss": 0.8560299873352051,
|
124 |
+
"eval_runtime": 2.4999,
|
125 |
+
"eval_samples_per_second": 6.8,
|
126 |
+
"eval_steps_per_second": 2.0,
|
127 |
+
"eval_wer": 0.20501474926253688,
|
128 |
"step": 88
|
129 |
},
|
130 |
{
|
131 |
"epoch": 8.18,
|
132 |
+
"learning_rate": 0.00028345794392523364,
|
133 |
+
"loss": 0.2509,
|
134 |
"step": 90
|
135 |
},
|
136 |
{
|
137 |
"epoch": 8.98,
|
138 |
+
"eval_loss": 0.6189576983451843,
|
139 |
+
"eval_runtime": 2.597,
|
140 |
+
"eval_samples_per_second": 6.546,
|
141 |
+
"eval_steps_per_second": 1.925,
|
142 |
+
"eval_wer": 0.20353982300884957,
|
143 |
"step": 99
|
144 |
},
|
145 |
{
|
146 |
"epoch": 9.09,
|
147 |
+
"learning_rate": 0.0002806542056074766,
|
148 |
+
"loss": 0.2754,
|
149 |
"step": 100
|
150 |
},
|
151 |
{
|
152 |
"epoch": 9.98,
|
153 |
+
"learning_rate": 0.0002778504672897196,
|
154 |
+
"loss": 0.2728,
|
155 |
"step": 110
|
156 |
},
|
157 |
{
|
158 |
"epoch": 9.98,
|
159 |
+
"eval_loss": 0.6561536192893982,
|
160 |
+
"eval_runtime": 2.5862,
|
161 |
+
"eval_samples_per_second": 6.573,
|
162 |
+
"eval_steps_per_second": 1.933,
|
163 |
+
"eval_wer": 0.21091445427728614,
|
164 |
"step": 110
|
165 |
},
|
166 |
{
|
167 |
"epoch": 10.89,
|
168 |
+
"learning_rate": 0.0002750467289719626,
|
169 |
+
"loss": 0.2615,
|
170 |
"step": 120
|
171 |
},
|
172 |
{
|
173 |
"epoch": 10.98,
|
174 |
+
"eval_loss": 0.6290748119354248,
|
175 |
+
"eval_runtime": 2.4827,
|
176 |
+
"eval_samples_per_second": 6.847,
|
177 |
"eval_steps_per_second": 2.014,
|
178 |
+
"eval_wer": 0.20648967551622419,
|
179 |
"step": 121
|
180 |
},
|
181 |
{
|
182 |
"epoch": 11.8,
|
183 |
+
"learning_rate": 0.0002722429906542056,
|
184 |
+
"loss": 0.2586,
|
185 |
"step": 130
|
186 |
},
|
187 |
{
|
188 |
"epoch": 11.98,
|
189 |
+
"eval_loss": 0.6167445778846741,
|
190 |
+
"eval_runtime": 2.4578,
|
191 |
+
"eval_samples_per_second": 6.917,
|
192 |
+
"eval_steps_per_second": 2.034,
|
193 |
+
"eval_wer": 0.18436578171091444,
|
194 |
"step": 132
|
195 |
},
|
196 |
{
|
197 |
"epoch": 12.71,
|
198 |
+
"learning_rate": 0.00026943925233644856,
|
199 |
+
"loss": 0.2441,
|
200 |
"step": 140
|
201 |
},
|
202 |
{
|
203 |
"epoch": 12.98,
|
204 |
+
"eval_loss": 0.6735682487487793,
|
205 |
+
"eval_runtime": 2.4754,
|
206 |
+
"eval_samples_per_second": 6.867,
|
207 |
+
"eval_steps_per_second": 2.02,
|
208 |
+
"eval_wer": 0.19616519174041297,
|
209 |
"step": 143
|
210 |
},
|
211 |
{
|
212 |
"epoch": 13.62,
|
213 |
+
"learning_rate": 0.0002666355140186916,
|
214 |
+
"loss": 0.233,
|
215 |
"step": 150
|
216 |
},
|
217 |
{
|
218 |
"epoch": 13.98,
|
219 |
+
"eval_loss": 0.5727431774139404,
|
220 |
+
"eval_runtime": 2.4735,
|
221 |
+
"eval_samples_per_second": 6.873,
|
222 |
+
"eval_steps_per_second": 2.021,
|
223 |
+
"eval_wer": 0.20501474926253688,
|
224 |
"step": 154
|
225 |
},
|
226 |
{
|
227 |
"epoch": 14.53,
|
228 |
+
"learning_rate": 0.00026383177570093454,
|
229 |
+
"loss": 0.2567,
|
230 |
"step": 160
|
231 |
},
|
232 |
{
|
233 |
"epoch": 14.98,
|
234 |
+
"eval_loss": 0.6164781451225281,
|
235 |
+
"eval_runtime": 2.4905,
|
236 |
+
"eval_samples_per_second": 6.826,
|
237 |
+
"eval_steps_per_second": 2.008,
|
238 |
+
"eval_wer": 0.1873156342182891,
|
239 |
"step": 165
|
240 |
},
|
241 |
{
|
242 |
"epoch": 15.44,
|
243 |
+
"learning_rate": 0.00026102803738317756,
|
244 |
+
"loss": 0.2264,
|
245 |
"step": 170
|
246 |
},
|
247 |
{
|
248 |
"epoch": 15.98,
|
249 |
+
"eval_loss": 0.7506299018859863,
|
250 |
+
"eval_runtime": 2.5014,
|
251 |
+
"eval_samples_per_second": 6.796,
|
252 |
+
"eval_steps_per_second": 1.999,
|
253 |
+
"eval_wer": 0.2079646017699115,
|
254 |
"step": 176
|
255 |
},
|
256 |
{
|
257 |
"epoch": 16.36,
|
258 |
+
"learning_rate": 0.0002582242990654205,
|
259 |
+
"loss": 0.2346,
|
260 |
"step": 180
|
261 |
},
|
262 |
{
|
263 |
"epoch": 16.98,
|
264 |
+
"eval_loss": 0.701734185218811,
|
265 |
+
"eval_runtime": 2.4973,
|
266 |
+
"eval_samples_per_second": 6.807,
|
267 |
+
"eval_steps_per_second": 2.002,
|
268 |
+
"eval_wer": 0.1887905604719764,
|
269 |
"step": 187
|
270 |
},
|
271 |
{
|
272 |
"epoch": 17.27,
|
273 |
+
"learning_rate": 0.00025542056074766354,
|
274 |
+
"loss": 0.2343,
|
275 |
"step": 190
|
276 |
},
|
277 |
{
|
278 |
"epoch": 17.98,
|
279 |
+
"eval_loss": 0.5930327773094177,
|
280 |
+
"eval_runtime": 2.5093,
|
281 |
+
"eval_samples_per_second": 6.775,
|
282 |
+
"eval_steps_per_second": 1.993,
|
283 |
+
"eval_wer": 0.20943952802359883,
|
284 |
"step": 198
|
285 |
},
|
286 |
{
|
287 |
"epoch": 18.18,
|
288 |
+
"learning_rate": 0.0002526168224299065,
|
289 |
+
"loss": 0.2638,
|
290 |
"step": 200
|
291 |
},
|
292 |
{
|
293 |
"epoch": 18.98,
|
294 |
+
"eval_loss": 0.5729739665985107,
|
295 |
+
"eval_runtime": 2.4782,
|
296 |
+
"eval_samples_per_second": 6.86,
|
297 |
+
"eval_steps_per_second": 2.018,
|
298 |
+
"eval_wer": 0.20058997050147492,
|
299 |
"step": 209
|
300 |
},
|
301 |
{
|
302 |
"epoch": 19.09,
|
303 |
+
"learning_rate": 0.0002498130841121495,
|
304 |
+
"loss": 0.2332,
|
305 |
"step": 210
|
306 |
},
|
307 |
{
|
308 |
"epoch": 19.98,
|
309 |
+
"learning_rate": 0.0002470093457943925,
|
310 |
+
"loss": 0.2543,
|
311 |
"step": 220
|
312 |
},
|
313 |
{
|
314 |
"epoch": 19.98,
|
315 |
+
"eval_loss": 0.4991203248500824,
|
316 |
+
"eval_runtime": 2.4588,
|
317 |
+
"eval_samples_per_second": 6.914,
|
318 |
+
"eval_steps_per_second": 2.034,
|
319 |
+
"eval_wer": 0.21976401179941002,
|
320 |
"step": 220
|
321 |
},
|
322 |
{
|
323 |
"epoch": 20.89,
|
324 |
+
"learning_rate": 0.0002442056074766355,
|
325 |
+
"loss": 0.2476,
|
326 |
"step": 230
|
327 |
},
|
328 |
{
|
329 |
"epoch": 20.98,
|
330 |
+
"eval_loss": 0.6363905668258667,
|
331 |
+
"eval_runtime": 2.4779,
|
332 |
+
"eval_samples_per_second": 6.861,
|
333 |
+
"eval_steps_per_second": 2.018,
|
334 |
+
"eval_wer": 0.20648967551622419,
|
335 |
"step": 231
|
336 |
},
|
337 |
{
|
338 |
"epoch": 21.8,
|
339 |
+
"learning_rate": 0.00024140186915887847,
|
340 |
+
"loss": 0.2777,
|
341 |
"step": 240
|
342 |
},
|
343 |
{
|
344 |
"epoch": 21.98,
|
345 |
+
"eval_loss": 0.6247313618659973,
|
346 |
+
"eval_runtime": 2.4757,
|
347 |
+
"eval_samples_per_second": 6.867,
|
348 |
+
"eval_steps_per_second": 2.02,
|
349 |
+
"eval_wer": 0.18436578171091444,
|
350 |
"step": 242
|
351 |
},
|
352 |
{
|
353 |
"epoch": 22.71,
|
354 |
+
"learning_rate": 0.00023859813084112146,
|
355 |
+
"loss": 0.2661,
|
356 |
"step": 250
|
357 |
},
|
358 |
{
|
359 |
"epoch": 22.98,
|
360 |
+
"eval_loss": 0.5588754415512085,
|
361 |
+
"eval_runtime": 2.5016,
|
362 |
+
"eval_samples_per_second": 6.796,
|
363 |
+
"eval_steps_per_second": 1.999,
|
364 |
+
"eval_wer": 0.20058997050147492,
|
365 |
"step": 253
|
366 |
},
|
367 |
{
|
368 |
"epoch": 23.62,
|
369 |
+
"learning_rate": 0.00023579439252336445,
|
370 |
+
"loss": 0.2094,
|
371 |
"step": 260
|
372 |
},
|
373 |
{
|
374 |
"epoch": 23.98,
|
375 |
+
"eval_loss": 0.531648576259613,
|
376 |
+
"eval_runtime": 2.4851,
|
377 |
+
"eval_samples_per_second": 6.841,
|
378 |
+
"eval_steps_per_second": 2.012,
|
379 |
+
"eval_wer": 0.2079646017699115,
|
380 |
"step": 264
|
381 |
},
|
382 |
{
|
383 |
"epoch": 24.53,
|
384 |
+
"learning_rate": 0.00023299065420560744,
|
385 |
+
"loss": 0.2496,
|
386 |
"step": 270
|
387 |
},
|
388 |
{
|
389 |
"epoch": 24.98,
|
390 |
+
"eval_loss": 0.8821189999580383,
|
391 |
+
"eval_runtime": 2.49,
|
392 |
+
"eval_samples_per_second": 6.827,
|
393 |
+
"eval_steps_per_second": 2.008,
|
394 |
+
"eval_wer": 0.18436578171091444,
|
395 |
"step": 275
|
396 |
},
|
397 |
{
|
398 |
"epoch": 25.44,
|
399 |
+
"learning_rate": 0.00023018691588785043,
|
400 |
+
"loss": 0.2302,
|
401 |
"step": 280
|
402 |
},
|
403 |
{
|
404 |
"epoch": 25.98,
|
405 |
+
"eval_loss": 0.5408168435096741,
|
406 |
+
"eval_runtime": 2.4887,
|
407 |
+
"eval_samples_per_second": 6.831,
|
408 |
+
"eval_steps_per_second": 2.009,
|
409 |
+
"eval_wer": 0.18141592920353983,
|
410 |
"step": 286
|
411 |
},
|
412 |
{
|
413 |
"epoch": 26.36,
|
414 |
+
"learning_rate": 0.00022738317757009342,
|
415 |
+
"loss": 0.2651,
|
416 |
"step": 290
|
417 |
},
|
418 |
{
|
419 |
"epoch": 26.98,
|
420 |
+
"eval_loss": 0.6479179859161377,
|
421 |
+
"eval_runtime": 2.4859,
|
422 |
+
"eval_samples_per_second": 6.838,
|
423 |
+
"eval_steps_per_second": 2.011,
|
424 |
+
"eval_wer": 0.20943952802359883,
|
425 |
"step": 297
|
426 |
},
|
427 |
{
|
428 |
"epoch": 27.27,
|
429 |
+
"learning_rate": 0.00022457943925233641,
|
430 |
+
"loss": 0.2119,
|
431 |
"step": 300
|
432 |
},
|
433 |
{
|
434 |
"epoch": 27.98,
|
435 |
+
"eval_loss": 0.5875303745269775,
|
436 |
+
"eval_runtime": 2.5001,
|
437 |
+
"eval_samples_per_second": 6.8,
|
438 |
+
"eval_steps_per_second": 2.0,
|
439 |
+
"eval_wer": 0.18141592920353983,
|
440 |
"step": 308
|
441 |
},
|
442 |
{
|
443 |
"epoch": 28.18,
|
444 |
+
"learning_rate": 0.0002217757009345794,
|
445 |
+
"loss": 0.2468,
|
446 |
"step": 310
|
447 |
},
|
448 |
{
|
449 |
"epoch": 28.98,
|
450 |
+
"eval_loss": 0.7614116072654724,
|
451 |
+
"eval_runtime": 2.4857,
|
452 |
+
"eval_samples_per_second": 6.839,
|
453 |
+
"eval_steps_per_second": 2.012,
|
454 |
+
"eval_wer": 0.1976401179941003,
|
455 |
"step": 319
|
456 |
},
|
457 |
{
|
458 |
"epoch": 29.09,
|
459 |
+
"learning_rate": 0.0002189719626168224,
|
460 |
+
"loss": 0.267,
|
461 |
"step": 320
|
462 |
},
|
463 |
{
|
464 |
"epoch": 29.98,
|
465 |
+
"learning_rate": 0.00021616822429906539,
|
466 |
+
"loss": 0.2239,
|
467 |
"step": 330
|
468 |
},
|
469 |
{
|
470 |
"epoch": 29.98,
|
471 |
+
"eval_loss": 0.4908014237880707,
|
472 |
+
"eval_runtime": 2.5125,
|
473 |
+
"eval_samples_per_second": 6.766,
|
474 |
+
"eval_steps_per_second": 1.99,
|
475 |
+
"eval_wer": 0.1902654867256637,
|
476 |
"step": 330
|
477 |
},
|
478 |
{
|
479 |
"epoch": 30.89,
|
480 |
+
"learning_rate": 0.00021336448598130838,
|
481 |
+
"loss": 0.2514,
|
482 |
"step": 340
|
483 |
},
|
484 |
{
|
485 |
"epoch": 30.98,
|
486 |
+
"eval_loss": 0.5196467638015747,
|
487 |
+
"eval_runtime": 2.4757,
|
488 |
+
"eval_samples_per_second": 6.867,
|
489 |
+
"eval_steps_per_second": 2.02,
|
490 |
+
"eval_wer": 0.20353982300884957,
|
491 |
"step": 341
|
492 |
},
|
493 |
{
|
494 |
"epoch": 31.8,
|
495 |
+
"learning_rate": 0.00021056074766355137,
|
496 |
+
"loss": 0.2244,
|
497 |
"step": 350
|
498 |
},
|
499 |
{
|
500 |
"epoch": 31.98,
|
501 |
+
"eval_loss": 0.5580195784568787,
|
502 |
+
"eval_runtime": 2.5054,
|
503 |
+
"eval_samples_per_second": 6.785,
|
504 |
+
"eval_steps_per_second": 1.996,
|
505 |
+
"eval_wer": 0.19911504424778761,
|
506 |
"step": 352
|
507 |
},
|
508 |
{
|
509 |
"epoch": 32.71,
|
510 |
+
"learning_rate": 0.00020775700934579436,
|
511 |
+
"loss": 0.2524,
|
512 |
"step": 360
|
513 |
},
|
514 |
{
|
515 |
"epoch": 32.98,
|
516 |
+
"eval_loss": 0.5342008471488953,
|
517 |
+
"eval_runtime": 2.483,
|
518 |
+
"eval_samples_per_second": 6.847,
|
519 |
+
"eval_steps_per_second": 2.014,
|
520 |
+
"eval_wer": 0.20206489675516223,
|
521 |
"step": 363
|
522 |
},
|
523 |
{
|
524 |
"epoch": 33.62,
|
525 |
+
"learning_rate": 0.00020495327102803735,
|
526 |
+
"loss": 0.2516,
|
527 |
"step": 370
|
528 |
},
|
529 |
{
|
530 |
"epoch": 33.98,
|
531 |
+
"eval_loss": 0.42036938667297363,
|
532 |
+
"eval_runtime": 2.4952,
|
533 |
+
"eval_samples_per_second": 6.813,
|
534 |
+
"eval_steps_per_second": 2.004,
|
535 |
+
"eval_wer": 0.18436578171091444,
|
536 |
"step": 374
|
537 |
},
|
538 |
{
|
539 |
"epoch": 34.53,
|
540 |
+
"learning_rate": 0.00020214953271028034,
|
541 |
+
"loss": 0.2515,
|
542 |
"step": 380
|
543 |
},
|
544 |
{
|
545 |
"epoch": 34.98,
|
546 |
+
"eval_loss": 0.5135067105293274,
|
547 |
+
"eval_runtime": 2.4689,
|
548 |
+
"eval_samples_per_second": 6.886,
|
549 |
+
"eval_steps_per_second": 2.025,
|
550 |
+
"eval_wer": 0.21238938053097345,
|
551 |
"step": 385
|
552 |
},
|
553 |
{
|
554 |
"epoch": 35.44,
|
555 |
+
"learning_rate": 0.00019934579439252333,
|
556 |
+
"loss": 0.2542,
|
557 |
"step": 390
|
558 |
},
|
559 |
{
|
560 |
"epoch": 35.98,
|
561 |
+
"eval_loss": 0.8149600028991699,
|
562 |
+
"eval_runtime": 2.5099,
|
563 |
+
"eval_samples_per_second": 6.773,
|
564 |
+
"eval_steps_per_second": 1.992,
|
565 |
+
"eval_wer": 0.19616519174041297,
|
566 |
"step": 396
|
567 |
},
|
568 |
{
|
569 |
"epoch": 36.36,
|
570 |
+
"learning_rate": 0.00019654205607476632,
|
571 |
+
"loss": 0.2269,
|
572 |
"step": 400
|
573 |
},
|
574 |
{
|
575 |
"epoch": 36.98,
|
576 |
+
"eval_loss": 0.8832700252532959,
|
577 |
+
"eval_runtime": 2.5448,
|
578 |
+
"eval_samples_per_second": 6.68,
|
579 |
+
"eval_steps_per_second": 1.965,
|
580 |
+
"eval_wer": 0.20943952802359883,
|
581 |
"step": 407
|
582 |
},
|
583 |
{
|
584 |
"epoch": 37.27,
|
585 |
+
"learning_rate": 0.0001937383177570093,
|
586 |
+
"loss": 0.212,
|
587 |
"step": 410
|
588 |
},
|
589 |
{
|
590 |
"epoch": 37.98,
|
591 |
+
"eval_loss": 1.3234660625457764,
|
592 |
+
"eval_runtime": 2.4758,
|
593 |
+
"eval_samples_per_second": 6.867,
|
594 |
+
"eval_steps_per_second": 2.02,
|
595 |
+
"eval_wer": 0.2182890855457227,
|
596 |
"step": 418
|
597 |
},
|
598 |
{
|
599 |
"epoch": 38.18,
|
600 |
+
"learning_rate": 0.0001909345794392523,
|
601 |
+
"loss": 0.2119,
|
602 |
"step": 420
|
603 |
},
|
604 |
{
|
605 |
"epoch": 38.98,
|
606 |
+
"eval_loss": 0.6919201016426086,
|
607 |
+
"eval_runtime": 2.478,
|
608 |
+
"eval_samples_per_second": 6.86,
|
609 |
+
"eval_steps_per_second": 2.018,
|
610 |
+
"eval_wer": 0.20206489675516223,
|
611 |
"step": 429
|
612 |
},
|
613 |
{
|
614 |
"epoch": 39.09,
|
615 |
+
"learning_rate": 0.0001881308411214953,
|
616 |
+
"loss": 0.2196,
|
617 |
"step": 430
|
618 |
},
|
619 |
{
|
620 |
"epoch": 39.98,
|
621 |
+
"learning_rate": 0.00018532710280373828,
|
622 |
+
"loss": 0.2228,
|
623 |
"step": 440
|
624 |
},
|
625 |
{
|
626 |
"epoch": 39.98,
|
627 |
+
"eval_loss": 0.6712406873703003,
|
628 |
+
"eval_runtime": 2.4899,
|
629 |
+
"eval_samples_per_second": 6.827,
|
630 |
+
"eval_steps_per_second": 2.008,
|
631 |
+
"eval_wer": 0.20206489675516223,
|
632 |
"step": 440
|
633 |
},
|
634 |
{
|
635 |
"epoch": 40.89,
|
636 |
+
"learning_rate": 0.00018252336448598127,
|
637 |
+
"loss": 0.2127,
|
638 |
"step": 450
|
639 |
},
|
640 |
{
|
641 |
"epoch": 40.98,
|
642 |
+
"eval_loss": 0.755742073059082,
|
643 |
+
"eval_runtime": 2.4974,
|
644 |
+
"eval_samples_per_second": 6.807,
|
645 |
+
"eval_steps_per_second": 2.002,
|
646 |
+
"eval_wer": 0.1976401179941003,
|
647 |
"step": 451
|
648 |
},
|
649 |
{
|
650 |
"epoch": 41.8,
|
651 |
+
"learning_rate": 0.00017971962616822426,
|
652 |
+
"loss": 0.2064,
|
653 |
"step": 460
|
654 |
},
|
655 |
{
|
656 |
"epoch": 41.98,
|
657 |
+
"eval_loss": 0.5917617082595825,
|
658 |
+
"eval_runtime": 2.4802,
|
659 |
+
"eval_samples_per_second": 6.854,
|
660 |
+
"eval_steps_per_second": 2.016,
|
661 |
+
"eval_wer": 0.19469026548672566,
|
662 |
"step": 462
|
663 |
},
|
664 |
{
|
665 |
"epoch": 42.71,
|
666 |
+
"learning_rate": 0.00017691588785046725,
|
667 |
+
"loss": 0.2147,
|
668 |
"step": 470
|
669 |
},
|
670 |
{
|
671 |
"epoch": 42.98,
|
672 |
+
"eval_loss": 0.804908275604248,
|
673 |
+
"eval_runtime": 2.4373,
|
674 |
+
"eval_samples_per_second": 6.975,
|
675 |
+
"eval_steps_per_second": 2.051,
|
676 |
+
"eval_wer": 0.19616519174041297,
|
677 |
"step": 473
|
678 |
},
|
679 |
{
|
680 |
"epoch": 43.62,
|
681 |
+
"learning_rate": 0.00017411214953271025,
|
682 |
+
"loss": 0.193,
|
683 |
"step": 480
|
684 |
},
|
685 |
{
|
686 |
"epoch": 43.98,
|
687 |
+
"eval_loss": 0.7116745710372925,
|
688 |
+
"eval_runtime": 2.4658,
|
689 |
+
"eval_samples_per_second": 6.894,
|
690 |
+
"eval_steps_per_second": 2.028,
|
691 |
+
"eval_wer": 0.1976401179941003,
|
692 |
"step": 484
|
693 |
},
|
694 |
{
|
695 |
"epoch": 44.53,
|
696 |
+
"learning_rate": 0.00017130841121495324,
|
697 |
+
"loss": 0.2063,
|
698 |
"step": 490
|
699 |
},
|
700 |
{
|
701 |
"epoch": 44.98,
|
702 |
+
"eval_loss": 0.554362416267395,
|
703 |
+
"eval_runtime": 2.4717,
|
704 |
+
"eval_samples_per_second": 6.878,
|
705 |
+
"eval_steps_per_second": 2.023,
|
706 |
+
"eval_wer": 0.19616519174041297,
|
707 |
"step": 495
|
708 |
},
|
709 |
{
|
710 |
"epoch": 45.44,
|
711 |
+
"learning_rate": 0.00016850467289719623,
|
712 |
+
"loss": 0.1989,
|
713 |
"step": 500
|
714 |
},
|
715 |
{
|
716 |
"epoch": 45.98,
|
717 |
+
"eval_loss": 0.5782185196876526,
|
718 |
+
"eval_runtime": 2.4456,
|
719 |
+
"eval_samples_per_second": 6.951,
|
720 |
+
"eval_steps_per_second": 2.044,
|
721 |
+
"eval_wer": 0.1887905604719764,
|
722 |
"step": 506
|
723 |
},
|
724 |
{
|
725 |
"epoch": 46.36,
|
726 |
+
"learning_rate": 0.00016570093457943922,
|
727 |
+
"loss": 0.2193,
|
728 |
"step": 510
|
729 |
},
|
730 |
{
|
731 |
"epoch": 46.98,
|
732 |
+
"eval_loss": 0.5216302275657654,
|
733 |
+
"eval_runtime": 2.4591,
|
734 |
+
"eval_samples_per_second": 6.913,
|
735 |
+
"eval_steps_per_second": 2.033,
|
736 |
+
"eval_wer": 0.19469026548672566,
|
737 |
"step": 517
|
738 |
},
|
739 |
{
|
740 |
"epoch": 47.27,
|
741 |
+
"learning_rate": 0.0001628971962616822,
|
742 |
+
"loss": 0.2012,
|
743 |
"step": 520
|
744 |
},
|
745 |
{
|
746 |
"epoch": 47.98,
|
747 |
+
"eval_loss": 0.5268691778182983,
|
748 |
+
"eval_runtime": 2.4596,
|
749 |
+
"eval_samples_per_second": 6.912,
|
750 |
+
"eval_steps_per_second": 2.033,
|
751 |
+
"eval_wer": 0.19174041297935104,
|
752 |
"step": 528
|
753 |
},
|
754 |
{
|
755 |
"epoch": 48.18,
|
756 |
+
"learning_rate": 0.0001600934579439252,
|
757 |
+
"loss": 0.2187,
|
758 |
"step": 530
|
759 |
},
|
760 |
{
|
761 |
"epoch": 48.98,
|
762 |
+
"eval_loss": 0.4635768532752991,
|
763 |
+
"eval_runtime": 2.4781,
|
764 |
+
"eval_samples_per_second": 6.86,
|
765 |
+
"eval_steps_per_second": 2.018,
|
766 |
+
"eval_wer": 0.18436578171091444,
|
767 |
"step": 539
|
768 |
},
|
769 |
{
|
770 |
"epoch": 49.09,
|
771 |
+
"learning_rate": 0.0001572897196261682,
|
772 |
+
"loss": 0.1857,
|
773 |
"step": 540
|
774 |
},
|
775 |
{
|
776 |
"epoch": 49.98,
|
777 |
+
"learning_rate": 0.00015448598130841118,
|
778 |
+
"loss": 0.2128,
|
779 |
"step": 550
|
780 |
},
|
781 |
{
|
782 |
"epoch": 49.98,
|
783 |
+
"eval_loss": 0.49676355719566345,
|
784 |
+
"eval_runtime": 2.4581,
|
785 |
+
"eval_samples_per_second": 6.916,
|
786 |
+
"eval_steps_per_second": 2.034,
|
787 |
+
"eval_wer": 0.1887905604719764,
|
788 |
"step": 550
|
789 |
},
|
790 |
{
|
791 |
"epoch": 50.89,
|
792 |
+
"learning_rate": 0.00015168224299065417,
|
793 |
+
"loss": 0.2041,
|
794 |
"step": 560
|
795 |
},
|
796 |
{
|
797 |
"epoch": 50.98,
|
798 |
+
"eval_loss": 0.47835999727249146,
|
799 |
+
"eval_runtime": 2.4475,
|
800 |
+
"eval_samples_per_second": 6.946,
|
801 |
+
"eval_steps_per_second": 2.043,
|
802 |
+
"eval_wer": 0.1887905604719764,
|
803 |
"step": 561
|
804 |
},
|
805 |
{
|
806 |
"epoch": 51.8,
|
807 |
+
"learning_rate": 0.0001488785046728972,
|
808 |
+
"loss": 0.1993,
|
809 |
"step": 570
|
810 |
},
|
811 |
{
|
812 |
"epoch": 51.98,
|
813 |
+
"eval_loss": 0.5591913461685181,
|
814 |
+
"eval_runtime": 2.4775,
|
815 |
+
"eval_samples_per_second": 6.862,
|
816 |
+
"eval_steps_per_second": 2.018,
|
817 |
+
"eval_wer": 0.17551622418879056,
|
818 |
"step": 572
|
819 |
},
|
820 |
{
|
821 |
"epoch": 52.71,
|
822 |
+
"learning_rate": 0.00014607476635514018,
|
823 |
+
"loss": 0.1981,
|
824 |
"step": 580
|
825 |
},
|
826 |
{
|
827 |
"epoch": 52.98,
|
828 |
+
"eval_loss": 0.4870879352092743,
|
829 |
+
"eval_runtime": 2.4711,
|
830 |
+
"eval_samples_per_second": 6.88,
|
831 |
+
"eval_steps_per_second": 2.023,
|
832 |
+
"eval_wer": 0.17846607669616518,
|
833 |
"step": 583
|
834 |
},
|
835 |
{
|
836 |
"epoch": 53.62,
|
837 |
+
"learning_rate": 0.00014327102803738317,
|
838 |
+
"loss": 0.1808,
|
839 |
"step": 590
|
840 |
},
|
841 |
{
|
842 |
"epoch": 53.98,
|
843 |
+
"eval_loss": 0.47705358266830444,
|
844 |
+
"eval_runtime": 2.4668,
|
845 |
+
"eval_samples_per_second": 6.891,
|
846 |
+
"eval_steps_per_second": 2.027,
|
847 |
+
"eval_wer": 0.17404129793510326,
|
848 |
"step": 594
|
849 |
},
|
850 |
{
|
851 |
"epoch": 54.53,
|
852 |
+
"learning_rate": 0.00014046728971962616,
|
853 |
+
"loss": 0.2317,
|
854 |
"step": 600
|
855 |
},
|
856 |
{
|
857 |
"epoch": 54.98,
|
858 |
+
"eval_loss": 0.5285036563873291,
|
859 |
+
"eval_runtime": 2.4608,
|
860 |
+
"eval_samples_per_second": 6.908,
|
861 |
+
"eval_steps_per_second": 2.032,
|
862 |
+
"eval_wer": 0.18141592920353983,
|
863 |
"step": 605
|
864 |
},
|
865 |
{
|
866 |
"epoch": 55.44,
|
867 |
+
"learning_rate": 0.00013766355140186915,
|
868 |
+
"loss": 0.1906,
|
869 |
"step": 610
|
870 |
},
|
871 |
{
|
872 |
"epoch": 55.98,
|
873 |
+
"eval_loss": 0.5485416650772095,
|
874 |
+
"eval_runtime": 2.4937,
|
875 |
+
"eval_samples_per_second": 6.817,
|
876 |
+
"eval_steps_per_second": 2.005,
|
877 |
+
"eval_wer": 0.18436578171091444,
|
878 |
"step": 616
|
879 |
},
|
880 |
{
|
881 |
"epoch": 56.36,
|
882 |
+
"learning_rate": 0.00013485981308411214,
|
883 |
+
"loss": 0.1924,
|
884 |
"step": 620
|
885 |
},
|
886 |
{
|
887 |
"epoch": 56.98,
|
888 |
+
"eval_loss": 0.5615388751029968,
|
889 |
+
"eval_runtime": 2.4859,
|
890 |
+
"eval_samples_per_second": 6.839,
|
891 |
+
"eval_steps_per_second": 2.011,
|
892 |
+
"eval_wer": 0.18141592920353983,
|
893 |
"step": 627
|
894 |
},
|
895 |
{
|
896 |
"epoch": 57.27,
|
897 |
+
"learning_rate": 0.00013205607476635513,
|
898 |
+
"loss": 0.1761,
|
899 |
"step": 630
|
900 |
},
|
901 |
{
|
902 |
"epoch": 57.98,
|
903 |
+
"eval_loss": 0.46036362648010254,
|
904 |
+
"eval_runtime": 2.4852,
|
905 |
+
"eval_samples_per_second": 6.84,
|
906 |
+
"eval_steps_per_second": 2.012,
|
907 |
+
"eval_wer": 0.17994100294985252,
|
908 |
"step": 638
|
909 |
},
|
910 |
{
|
911 |
"epoch": 58.18,
|
912 |
+
"learning_rate": 0.00012925233644859812,
|
913 |
+
"loss": 0.2047,
|
914 |
"step": 640
|
915 |
},
|
916 |
{
|
917 |
"epoch": 58.98,
|
918 |
+
"eval_loss": 0.422275573015213,
|
919 |
+
"eval_runtime": 2.4837,
|
920 |
+
"eval_samples_per_second": 6.845,
|
921 |
+
"eval_steps_per_second": 2.013,
|
922 |
+
"eval_wer": 0.18289085545722714,
|
923 |
"step": 649
|
924 |
},
|
925 |
{
|
926 |
"epoch": 59.09,
|
927 |
+
"learning_rate": 0.00012644859813084111,
|
928 |
+
"loss": 0.2295,
|
929 |
"step": 650
|
930 |
},
|
931 |
{
|
932 |
"epoch": 59.98,
|
933 |
+
"learning_rate": 0.0001236448598130841,
|
934 |
+
"loss": 0.1992,
|
935 |
"step": 660
|
936 |
},
|
937 |
{
|
938 |
"epoch": 59.98,
|
939 |
+
"eval_loss": 0.47056129574775696,
|
940 |
+
"eval_runtime": 2.4575,
|
941 |
+
"eval_samples_per_second": 6.918,
|
942 |
+
"eval_steps_per_second": 2.035,
|
943 |
+
"eval_wer": 0.1873156342182891,
|
944 |
"step": 660
|
945 |
},
|
946 |
{
|
947 |
"epoch": 60.89,
|
948 |
+
"learning_rate": 0.0001208411214953271,
|
949 |
+
"loss": 0.1949,
|
950 |
"step": 670
|
951 |
},
|
952 |
{
|
953 |
"epoch": 60.98,
|
954 |
+
"eval_loss": 0.4633275866508484,
|
955 |
+
"eval_runtime": 2.458,
|
956 |
+
"eval_samples_per_second": 6.916,
|
957 |
+
"eval_steps_per_second": 2.034,
|
958 |
+
"eval_wer": 0.18436578171091444,
|
959 |
"step": 671
|
960 |
},
|
961 |
{
|
962 |
"epoch": 61.8,
|
963 |
+
"learning_rate": 0.00011803738317757009,
|
964 |
+
"loss": 0.2034,
|
965 |
"step": 680
|
966 |
},
|
967 |
{
|
968 |
"epoch": 61.98,
|
969 |
+
"eval_loss": 0.48540210723876953,
|
970 |
+
"eval_runtime": 2.4576,
|
971 |
+
"eval_samples_per_second": 6.917,
|
972 |
+
"eval_steps_per_second": 2.035,
|
973 |
+
"eval_wer": 0.18141592920353983,
|
974 |
"step": 682
|
975 |
},
|
976 |
{
|
977 |
"epoch": 62.71,
|
978 |
+
"learning_rate": 0.00011523364485981308,
|
979 |
+
"loss": 0.2147,
|
980 |
"step": 690
|
981 |
},
|
982 |
{
|
983 |
"epoch": 62.98,
|
984 |
+
"eval_loss": 0.4488876163959503,
|
985 |
+
"eval_runtime": 2.4838,
|
986 |
+
"eval_samples_per_second": 6.844,
|
987 |
+
"eval_steps_per_second": 2.013,
|
988 |
+
"eval_wer": 0.18436578171091444,
|
989 |
"step": 693
|
990 |
},
|
991 |
{
|
992 |
"epoch": 63.62,
|
993 |
+
"learning_rate": 0.00011242990654205607,
|
994 |
+
"loss": 0.2135,
|
995 |
"step": 700
|
996 |
},
|
997 |
{
|
998 |
"epoch": 63.98,
|
999 |
+
"eval_loss": 0.48737475275993347,
|
1000 |
+
"eval_runtime": 2.4621,
|
1001 |
+
"eval_samples_per_second": 6.905,
|
1002 |
+
"eval_steps_per_second": 2.031,
|
1003 |
+
"eval_wer": 0.17256637168141592,
|
1004 |
"step": 704
|
1005 |
},
|
1006 |
{
|
1007 |
"epoch": 64.53,
|
1008 |
+
"learning_rate": 0.00010962616822429906,
|
1009 |
+
"loss": 0.2021,
|
1010 |
"step": 710
|
1011 |
},
|
1012 |
{
|
1013 |
"epoch": 64.98,
|
1014 |
+
"eval_loss": 0.4635281562805176,
|
1015 |
+
"eval_runtime": 2.4487,
|
1016 |
+
"eval_samples_per_second": 6.942,
|
1017 |
+
"eval_steps_per_second": 2.042,
|
1018 |
+
"eval_wer": 0.18141592920353983,
|
1019 |
"step": 715
|
1020 |
},
|
1021 |
{
|
1022 |
"epoch": 65.44,
|
1023 |
+
"learning_rate": 0.00010682242990654205,
|
1024 |
+
"loss": 0.1822,
|
1025 |
"step": 720
|
1026 |
},
|
1027 |
{
|
1028 |
"epoch": 65.98,
|
1029 |
+
"eval_loss": 0.48127830028533936,
|
1030 |
+
"eval_runtime": 2.4625,
|
1031 |
+
"eval_samples_per_second": 6.904,
|
1032 |
+
"eval_steps_per_second": 2.03,
|
1033 |
+
"eval_wer": 0.17846607669616518,
|
1034 |
"step": 726
|
1035 |
},
|
1036 |
{
|
1037 |
"epoch": 66.36,
|
1038 |
+
"learning_rate": 0.00010401869158878504,
|
1039 |
+
"loss": 0.1882,
|
1040 |
"step": 730
|
1041 |
},
|
1042 |
{
|
1043 |
"epoch": 66.98,
|
1044 |
+
"eval_loss": 0.5075557827949524,
|
1045 |
+
"eval_runtime": 2.4867,
|
1046 |
+
"eval_samples_per_second": 6.836,
|
1047 |
+
"eval_steps_per_second": 2.011,
|
1048 |
+
"eval_wer": 0.17994100294985252,
|
1049 |
"step": 737
|
1050 |
},
|
1051 |
{
|
1052 |
"epoch": 67.27,
|
1053 |
+
"learning_rate": 0.00010121495327102803,
|
1054 |
+
"loss": 0.2014,
|
1055 |
"step": 740
|
1056 |
},
|
1057 |
{
|
1058 |
"epoch": 67.98,
|
1059 |
+
"eval_loss": 0.5182777047157288,
|
1060 |
+
"eval_runtime": 2.4749,
|
1061 |
+
"eval_samples_per_second": 6.869,
|
1062 |
+
"eval_steps_per_second": 2.02,
|
1063 |
+
"eval_wer": 0.1887905604719764,
|
1064 |
"step": 748
|
1065 |
},
|
1066 |
{
|
1067 |
"epoch": 68.18,
|
1068 |
+
"learning_rate": 9.841121495327102e-05,
|
1069 |
+
"loss": 0.1869,
|
1070 |
"step": 750
|
1071 |
},
|
1072 |
{
|
1073 |
"epoch": 68.98,
|
1074 |
+
"eval_loss": 0.5035397410392761,
|
1075 |
+
"eval_runtime": 2.4735,
|
1076 |
+
"eval_samples_per_second": 6.873,
|
1077 |
+
"eval_steps_per_second": 2.021,
|
1078 |
+
"eval_wer": 0.17994100294985252,
|
1079 |
"step": 759
|
1080 |
},
|
1081 |
{
|
1082 |
"epoch": 69.09,
|
1083 |
+
"learning_rate": 9.560747663551401e-05,
|
1084 |
+
"loss": 0.2118,
|
1085 |
"step": 760
|
1086 |
},
|
1087 |
{
|
1088 |
"epoch": 69.98,
|
1089 |
+
"learning_rate": 9.2803738317757e-05,
|
1090 |
+
"loss": 0.1914,
|
1091 |
"step": 770
|
1092 |
},
|
1093 |
{
|
1094 |
"epoch": 69.98,
|
1095 |
+
"eval_loss": 0.4693587124347687,
|
1096 |
+
"eval_runtime": 2.5588,
|
1097 |
+
"eval_samples_per_second": 6.644,
|
1098 |
+
"eval_steps_per_second": 1.954,
|
1099 |
+
"eval_wer": 0.18436578171091444,
|
1100 |
"step": 770
|
1101 |
},
|
1102 |
{
|
1103 |
"epoch": 70.89,
|
1104 |
+
"learning_rate": 8.999999999999999e-05,
|
1105 |
+
"loss": 0.1972,
|
1106 |
"step": 780
|
1107 |
},
|
1108 |
{
|
1109 |
"epoch": 70.98,
|
1110 |
+
"eval_loss": 0.4484705626964569,
|
1111 |
+
"eval_runtime": 2.5088,
|
1112 |
+
"eval_samples_per_second": 6.776,
|
1113 |
+
"eval_steps_per_second": 1.993,
|
1114 |
+
"eval_wer": 0.18436578171091444,
|
1115 |
"step": 781
|
1116 |
},
|
1117 |
{
|
1118 |
"epoch": 71.8,
|
1119 |
+
"learning_rate": 8.719626168224298e-05,
|
1120 |
+
"loss": 0.1724,
|
1121 |
"step": 790
|
1122 |
},
|
1123 |
{
|
1124 |
"epoch": 71.98,
|
1125 |
+
"eval_loss": 0.457947701215744,
|
1126 |
+
"eval_runtime": 2.4982,
|
1127 |
+
"eval_samples_per_second": 6.805,
|
1128 |
+
"eval_steps_per_second": 2.001,
|
1129 |
+
"eval_wer": 0.18289085545722714,
|
1130 |
"step": 792
|
1131 |
},
|
1132 |
{
|
1133 |
"epoch": 72.71,
|
1134 |
+
"learning_rate": 8.439252336448597e-05,
|
1135 |
+
"loss": 0.195,
|
1136 |
"step": 800
|
1137 |
},
|
1138 |
{
|
1139 |
"epoch": 72.98,
|
1140 |
+
"eval_loss": 0.5178218483924866,
|
1141 |
+
"eval_runtime": 2.4797,
|
1142 |
+
"eval_samples_per_second": 6.856,
|
1143 |
+
"eval_steps_per_second": 2.016,
|
1144 |
+
"eval_wer": 0.18141592920353983,
|
1145 |
"step": 803
|
1146 |
},
|
1147 |
{
|
1148 |
"epoch": 73.62,
|
1149 |
+
"learning_rate": 8.158878504672896e-05,
|
1150 |
+
"loss": 0.2017,
|
1151 |
"step": 810
|
1152 |
},
|
1153 |
{
|
1154 |
"epoch": 73.98,
|
1155 |
+
"eval_loss": 0.49777284264564514,
|
1156 |
+
"eval_runtime": 2.4694,
|
1157 |
+
"eval_samples_per_second": 6.884,
|
1158 |
+
"eval_steps_per_second": 2.025,
|
1159 |
+
"eval_wer": 0.18289085545722714,
|
1160 |
"step": 814
|
1161 |
},
|
1162 |
{
|
1163 |
"epoch": 74.53,
|
1164 |
+
"learning_rate": 7.878504672897195e-05,
|
1165 |
+
"loss": 0.1874,
|
1166 |
"step": 820
|
1167 |
},
|
1168 |
{
|
1169 |
"epoch": 74.98,
|
1170 |
+
"eval_loss": 0.5034937858581543,
|
1171 |
+
"eval_runtime": 2.4472,
|
1172 |
+
"eval_samples_per_second": 6.947,
|
1173 |
+
"eval_steps_per_second": 2.043,
|
1174 |
+
"eval_wer": 0.1873156342182891,
|
1175 |
"step": 825
|
1176 |
},
|
1177 |
{
|
1178 |
"epoch": 75.44,
|
1179 |
+
"learning_rate": 7.598130841121495e-05,
|
1180 |
+
"loss": 0.1925,
|
1181 |
"step": 830
|
1182 |
},
|
1183 |
{
|
1184 |
"epoch": 75.98,
|
1185 |
+
"eval_loss": 0.5495364665985107,
|
1186 |
+
"eval_runtime": 2.4633,
|
1187 |
+
"eval_samples_per_second": 6.901,
|
1188 |
+
"eval_steps_per_second": 2.03,
|
1189 |
+
"eval_wer": 0.18289085545722714,
|
1190 |
"step": 836
|
1191 |
},
|
1192 |
{
|
1193 |
"epoch": 76.36,
|
1194 |
+
"learning_rate": 7.317757009345794e-05,
|
1195 |
+
"loss": 0.1845,
|
1196 |
"step": 840
|
1197 |
},
|
1198 |
{
|
1199 |
"epoch": 76.98,
|
1200 |
+
"eval_loss": 0.5394346117973328,
|
1201 |
+
"eval_runtime": 2.4749,
|
1202 |
+
"eval_samples_per_second": 6.869,
|
1203 |
+
"eval_steps_per_second": 2.02,
|
1204 |
+
"eval_wer": 0.17994100294985252,
|
1205 |
"step": 847
|
1206 |
},
|
1207 |
{
|
1208 |
"epoch": 77.27,
|
1209 |
+
"learning_rate": 7.037383177570093e-05,
|
1210 |
+
"loss": 0.1718,
|
1211 |
"step": 850
|
1212 |
},
|
1213 |
{
|
1214 |
"epoch": 77.98,
|
1215 |
+
"eval_loss": 0.507049024105072,
|
1216 |
+
"eval_runtime": 2.4857,
|
1217 |
+
"eval_samples_per_second": 6.839,
|
1218 |
+
"eval_steps_per_second": 2.012,
|
1219 |
+
"eval_wer": 0.1710914454277286,
|
1220 |
"step": 858
|
1221 |
},
|
1222 |
{
|
1223 |
"epoch": 78.18,
|
1224 |
+
"learning_rate": 6.757009345794392e-05,
|
1225 |
+
"loss": 0.1824,
|
1226 |
"step": 860
|
1227 |
},
|
1228 |
{
|
1229 |
"epoch": 78.98,
|
1230 |
+
"eval_loss": 0.49118277430534363,
|
1231 |
+
"eval_runtime": 2.4521,
|
1232 |
+
"eval_samples_per_second": 6.933,
|
1233 |
+
"eval_steps_per_second": 2.039,
|
1234 |
+
"eval_wer": 0.17699115044247787,
|
1235 |
"step": 869
|
1236 |
},
|
1237 |
{
|
1238 |
"epoch": 79.09,
|
1239 |
+
"learning_rate": 6.476635514018691e-05,
|
1240 |
+
"loss": 0.1904,
|
1241 |
"step": 870
|
1242 |
},
|
1243 |
{
|
1244 |
"epoch": 79.98,
|
1245 |
+
"learning_rate": 6.19626168224299e-05,
|
1246 |
+
"loss": 0.1702,
|
1247 |
"step": 880
|
1248 |
},
|
1249 |
{
|
1250 |
"epoch": 79.98,
|
1251 |
+
"eval_loss": 0.46315157413482666,
|
1252 |
+
"eval_runtime": 2.4682,
|
1253 |
+
"eval_samples_per_second": 6.888,
|
1254 |
+
"eval_steps_per_second": 2.026,
|
1255 |
+
"eval_wer": 0.17256637168141592,
|
1256 |
"step": 880
|
1257 |
},
|
1258 |
{
|
1259 |
"epoch": 80.89,
|
1260 |
+
"learning_rate": 5.9158878504672896e-05,
|
1261 |
+
"loss": 0.1563,
|
1262 |
"step": 890
|
1263 |
},
|
1264 |
{
|
1265 |
"epoch": 80.98,
|
1266 |
+
"eval_loss": 0.44120773673057556,
|
1267 |
+
"eval_runtime": 2.4609,
|
1268 |
+
"eval_samples_per_second": 6.908,
|
1269 |
+
"eval_steps_per_second": 2.032,
|
1270 |
+
"eval_wer": 0.17256637168141592,
|
1271 |
"step": 891
|
1272 |
},
|
1273 |
{
|
1274 |
"epoch": 81.8,
|
1275 |
+
"learning_rate": 5.635514018691589e-05,
|
1276 |
+
"loss": 0.1858,
|
1277 |
"step": 900
|
1278 |
},
|
1279 |
{
|
1280 |
"epoch": 81.98,
|
1281 |
+
"eval_loss": 0.46348273754119873,
|
1282 |
+
"eval_runtime": 2.4786,
|
1283 |
+
"eval_samples_per_second": 6.859,
|
1284 |
+
"eval_steps_per_second": 2.017,
|
1285 |
+
"eval_wer": 0.16666666666666666,
|
1286 |
"step": 902
|
1287 |
},
|
1288 |
{
|
1289 |
"epoch": 82.71,
|
1290 |
+
"learning_rate": 5.355140186915888e-05,
|
1291 |
+
"loss": 0.1701,
|
1292 |
"step": 910
|
1293 |
},
|
1294 |
{
|
1295 |
"epoch": 82.98,
|
1296 |
+
"eval_loss": 0.4837586581707001,
|
1297 |
+
"eval_runtime": 2.4341,
|
1298 |
+
"eval_samples_per_second": 6.984,
|
1299 |
+
"eval_steps_per_second": 2.054,
|
1300 |
+
"eval_wer": 0.17256637168141592,
|
1301 |
"step": 913
|
1302 |
},
|
1303 |
{
|
1304 |
"epoch": 83.62,
|
1305 |
+
"learning_rate": 5.074766355140187e-05,
|
1306 |
+
"loss": 0.188,
|
1307 |
"step": 920
|
1308 |
},
|
1309 |
{
|
1310 |
"epoch": 83.98,
|
1311 |
+
"eval_loss": 0.4775279462337494,
|
1312 |
+
"eval_runtime": 2.5362,
|
1313 |
+
"eval_samples_per_second": 6.703,
|
1314 |
+
"eval_steps_per_second": 1.971,
|
1315 |
+
"eval_wer": 0.18141592920353983,
|
1316 |
"step": 924
|
1317 |
},
|
1318 |
{
|
1319 |
"epoch": 84.53,
|
1320 |
+
"learning_rate": 4.794392523364486e-05,
|
1321 |
+
"loss": 0.1789,
|
1322 |
"step": 930
|
1323 |
},
|
1324 |
{
|
1325 |
"epoch": 84.98,
|
1326 |
+
"eval_loss": 0.4800940752029419,
|
1327 |
+
"eval_runtime": 2.4737,
|
1328 |
+
"eval_samples_per_second": 6.872,
|
1329 |
+
"eval_steps_per_second": 2.021,
|
1330 |
+
"eval_wer": 0.17404129793510326,
|
1331 |
"step": 935
|
1332 |
},
|
1333 |
{
|
1334 |
"epoch": 85.44,
|
1335 |
+
"learning_rate": 4.514018691588785e-05,
|
1336 |
+
"loss": 0.2134,
|
1337 |
"step": 940
|
1338 |
},
|
1339 |
{
|
1340 |
"epoch": 85.98,
|
1341 |
+
"eval_loss": 0.45418649911880493,
|
1342 |
+
"eval_runtime": 2.4552,
|
1343 |
+
"eval_samples_per_second": 6.924,
|
1344 |
+
"eval_steps_per_second": 2.037,
|
1345 |
+
"eval_wer": 0.17846607669616518,
|
1346 |
"step": 946
|
1347 |
},
|
1348 |
{
|
1349 |
"epoch": 86.36,
|
1350 |
+
"learning_rate": 4.233644859813084e-05,
|
1351 |
+
"loss": 0.2141,
|
1352 |
"step": 950
|
1353 |
},
|
1354 |
{
|
1355 |
"epoch": 86.98,
|
1356 |
+
"eval_loss": 0.4498932659626007,
|
1357 |
+
"eval_runtime": 2.4831,
|
1358 |
+
"eval_samples_per_second": 6.846,
|
1359 |
+
"eval_steps_per_second": 2.014,
|
1360 |
+
"eval_wer": 0.17846607669616518,
|
1361 |
"step": 957
|
1362 |
},
|
1363 |
{
|
1364 |
"epoch": 87.27,
|
1365 |
+
"learning_rate": 3.953271028037383e-05,
|
1366 |
+
"loss": 0.1599,
|
1367 |
"step": 960
|
1368 |
},
|
1369 |
{
|
1370 |
"epoch": 87.98,
|
1371 |
+
"eval_loss": 0.4594888687133789,
|
1372 |
+
"eval_runtime": 2.4694,
|
1373 |
+
"eval_samples_per_second": 6.884,
|
1374 |
+
"eval_steps_per_second": 2.025,
|
1375 |
+
"eval_wer": 0.17699115044247787,
|
1376 |
"step": 968
|
1377 |
},
|
1378 |
{
|
1379 |
"epoch": 88.18,
|
1380 |
+
"learning_rate": 3.672897196261682e-05,
|
1381 |
+
"loss": 0.1927,
|
1382 |
"step": 970
|
1383 |
},
|
1384 |
{
|
1385 |
"epoch": 88.98,
|
1386 |
+
"eval_loss": 0.4772101640701294,
|
1387 |
+
"eval_runtime": 2.4616,
|
1388 |
+
"eval_samples_per_second": 6.906,
|
1389 |
+
"eval_steps_per_second": 2.031,
|
1390 |
+
"eval_wer": 0.17551622418879056,
|
1391 |
"step": 979
|
1392 |
},
|
1393 |
{
|
1394 |
"epoch": 89.09,
|
1395 |
+
"learning_rate": 3.392523364485981e-05,
|
1396 |
+
"loss": 0.1715,
|
1397 |
"step": 980
|
1398 |
},
|
1399 |
{
|
1400 |
"epoch": 89.98,
|
1401 |
+
"learning_rate": 3.11214953271028e-05,
|
1402 |
+
"loss": 0.1709,
|
1403 |
"step": 990
|
1404 |
},
|
1405 |
{
|
1406 |
"epoch": 89.98,
|
1407 |
+
"eval_loss": 0.458842009305954,
|
1408 |
+
"eval_runtime": 2.4896,
|
1409 |
+
"eval_samples_per_second": 6.828,
|
1410 |
+
"eval_steps_per_second": 2.008,
|
1411 |
+
"eval_wer": 0.17699115044247787,
|
1412 |
"step": 990
|
1413 |
},
|
1414 |
{
|
1415 |
"epoch": 90.89,
|
1416 |
+
"learning_rate": 2.831775700934579e-05,
|
1417 |
+
"loss": 0.1588,
|
1418 |
"step": 1000
|
1419 |
},
|
1420 |
{
|
1421 |
"epoch": 90.98,
|
1422 |
+
"eval_loss": 0.4606749713420868,
|
1423 |
+
"eval_runtime": 2.4588,
|
1424 |
+
"eval_samples_per_second": 6.914,
|
1425 |
+
"eval_steps_per_second": 2.033,
|
1426 |
+
"eval_wer": 0.17846607669616518,
|
1427 |
"step": 1001
|
1428 |
},
|
1429 |
{
|
1430 |
"epoch": 91.8,
|
1431 |
+
"learning_rate": 2.5514018691588784e-05,
|
1432 |
+
"loss": 0.1702,
|
1433 |
"step": 1010
|
1434 |
},
|
1435 |
{
|
1436 |
"epoch": 91.98,
|
1437 |
+
"eval_loss": 0.46561577916145325,
|
1438 |
+
"eval_runtime": 2.4745,
|
1439 |
+
"eval_samples_per_second": 6.87,
|
1440 |
+
"eval_steps_per_second": 2.021,
|
1441 |
+
"eval_wer": 0.18289085545722714,
|
1442 |
"step": 1012
|
1443 |
},
|
1444 |
{
|
1445 |
"epoch": 92.71,
|
1446 |
+
"learning_rate": 2.2710280373831774e-05,
|
1447 |
+
"loss": 0.1646,
|
1448 |
"step": 1020
|
1449 |
},
|
1450 |
{
|
1451 |
"epoch": 92.98,
|
1452 |
+
"eval_loss": 0.46306708455085754,
|
1453 |
+
"eval_runtime": 2.4484,
|
1454 |
+
"eval_samples_per_second": 6.943,
|
1455 |
+
"eval_steps_per_second": 2.042,
|
1456 |
+
"eval_wer": 0.18289085545722714,
|
1457 |
"step": 1023
|
1458 |
},
|
1459 |
{
|
1460 |
"epoch": 93.62,
|
1461 |
+
"learning_rate": 1.9906542056074765e-05,
|
1462 |
+
"loss": 0.1867,
|
1463 |
"step": 1030
|
1464 |
},
|
1465 |
{
|
1466 |
"epoch": 93.98,
|
1467 |
+
"eval_loss": 0.4757649600505829,
|
1468 |
+
"eval_runtime": 2.4618,
|
1469 |
+
"eval_samples_per_second": 6.906,
|
1470 |
+
"eval_steps_per_second": 2.031,
|
1471 |
+
"eval_wer": 0.18141592920353983,
|
1472 |
"step": 1034
|
1473 |
},
|
1474 |
{
|
1475 |
"epoch": 94.53,
|
1476 |
+
"learning_rate": 1.7102803738317756e-05,
|
1477 |
+
"loss": 0.1799,
|
1478 |
"step": 1040
|
1479 |
},
|
1480 |
{
|
1481 |
"epoch": 94.98,
|
1482 |
+
"eval_loss": 0.48200085759162903,
|
1483 |
+
"eval_runtime": 2.4572,
|
1484 |
+
"eval_samples_per_second": 6.919,
|
1485 |
+
"eval_steps_per_second": 2.035,
|
1486 |
+
"eval_wer": 0.17551622418879056,
|
1487 |
"step": 1045
|
1488 |
},
|
1489 |
{
|
1490 |
"epoch": 95.44,
|
1491 |
+
"learning_rate": 1.4299065420560746e-05,
|
1492 |
+
"loss": 0.1611,
|
1493 |
"step": 1050
|
1494 |
},
|
1495 |
{
|
1496 |
"epoch": 95.98,
|
1497 |
+
"eval_loss": 0.48464781045913696,
|
1498 |
+
"eval_runtime": 2.4952,
|
1499 |
+
"eval_samples_per_second": 6.813,
|
1500 |
+
"eval_steps_per_second": 2.004,
|
1501 |
+
"eval_wer": 0.17846607669616518,
|
1502 |
"step": 1056
|
1503 |
},
|
1504 |
{
|
1505 |
"epoch": 96.36,
|
1506 |
+
"learning_rate": 1.1495327102803737e-05,
|
1507 |
+
"loss": 0.1685,
|
1508 |
"step": 1060
|
1509 |
},
|
1510 |
{
|
1511 |
"epoch": 96.98,
|
1512 |
+
"eval_loss": 0.48164939880371094,
|
1513 |
+
"eval_runtime": 2.5142,
|
1514 |
+
"eval_samples_per_second": 6.762,
|
1515 |
+
"eval_steps_per_second": 1.989,
|
1516 |
+
"eval_wer": 0.17699115044247787,
|
1517 |
"step": 1067
|
1518 |
},
|
1519 |
{
|
1520 |
"epoch": 97.27,
|
1521 |
+
"learning_rate": 8.691588785046728e-06,
|
1522 |
+
"loss": 0.19,
|
1523 |
"step": 1070
|
1524 |
},
|
1525 |
{
|
1526 |
"epoch": 97.98,
|
1527 |
+
"eval_loss": 0.4781480133533478,
|
1528 |
+
"eval_runtime": 2.5523,
|
1529 |
+
"eval_samples_per_second": 6.661,
|
1530 |
+
"eval_steps_per_second": 1.959,
|
1531 |
+
"eval_wer": 0.17699115044247787,
|
1532 |
"step": 1078
|
1533 |
},
|
1534 |
{
|
1535 |
"epoch": 98.18,
|
1536 |
+
"learning_rate": 5.887850467289719e-06,
|
1537 |
+
"loss": 0.1953,
|
1538 |
"step": 1080
|
1539 |
},
|
1540 |
{
|
1541 |
"epoch": 98.98,
|
1542 |
+
"eval_loss": 0.47668424248695374,
|
1543 |
+
"eval_runtime": 2.4703,
|
1544 |
+
"eval_samples_per_second": 6.882,
|
1545 |
+
"eval_steps_per_second": 2.024,
|
1546 |
+
"eval_wer": 0.17699115044247787,
|
1547 |
"step": 1089
|
1548 |
},
|
1549 |
{
|
1550 |
"epoch": 99.09,
|
1551 |
+
"learning_rate": 3.08411214953271e-06,
|
1552 |
+
"loss": 0.1635,
|
1553 |
"step": 1090
|
1554 |
},
|
1555 |
{
|
1556 |
"epoch": 99.98,
|
1557 |
+
"learning_rate": 2.803738317757009e-07,
|
1558 |
+
"loss": 0.188,
|
1559 |
"step": 1100
|
1560 |
},
|
1561 |
{
|
1562 |
"epoch": 99.98,
|
1563 |
+
"eval_loss": 0.47740593552589417,
|
1564 |
+
"eval_runtime": 2.4786,
|
1565 |
+
"eval_samples_per_second": 6.859,
|
1566 |
+
"eval_steps_per_second": 2.017,
|
1567 |
+
"eval_wer": 0.17699115044247787,
|
1568 |
"step": 1100
|
1569 |
},
|
1570 |
{
|
1571 |
"epoch": 99.98,
|
1572 |
"step": 1100,
|
1573 |
"total_flos": 1.8082449930602819e+18,
|
1574 |
+
"train_loss": 0.2150352662259882,
|
1575 |
+
"train_runtime": 4203.5944,
|
1576 |
+
"train_samples_per_second": 4.258,
|
1577 |
+
"train_steps_per_second": 0.262
|
1578 |
}
|
1579 |
],
|
1580 |
"max_steps": 1100,
|