large_sami_22k_finetuned_ft_pseudolabels
Browse files- README.md +3 -3
- all_results.json +10 -10
- eval--1hr test set_results.json +6 -6
- train_results.json +4 -4
- trainer_state.json +532 -532
README.md
CHANGED
@@ -16,9 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
|
|
16 |
|
17 |
This model was trained from scratch on an unknown dataset.
|
18 |
It achieves the following results on the evaluation set:
|
19 |
-
- Loss:
|
20 |
-
- Wer: 0.
|
21 |
-
- Cer: 0.
|
22 |
|
23 |
## Model description
|
24 |
|
|
|
16 |
|
17 |
This model was trained from scratch on an unknown dataset.
|
18 |
It achieves the following results on the evaluation set:
|
19 |
+
- Loss: 0.4804
|
20 |
+
- Wer: 0.3867
|
21 |
+
- Cer: 0.1484
|
22 |
|
23 |
## Model description
|
24 |
|
all_results.json
CHANGED
@@ -1,16 +1,16 @@
|
|
1 |
{
|
2 |
"epoch": 60.0,
|
3 |
-
"eval_cer": 0.
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime":
|
6 |
"eval_samples": 890,
|
7 |
-
"eval_samples_per_second":
|
8 |
-
"eval_steps_per_second":
|
9 |
-
"eval_wer": 0.
|
10 |
"total_flos": 1.8440987587856836e+20,
|
11 |
-
"train_loss": 0.
|
12 |
-
"train_runtime":
|
13 |
"train_samples": 17267,
|
14 |
-
"train_samples_per_second":
|
15 |
-
"train_steps_per_second": 0.
|
16 |
}
|
|
|
1 |
{
|
2 |
"epoch": 60.0,
|
3 |
+
"eval_cer": 0.14837227683643728,
|
4 |
+
"eval_loss": 0.480378657579422,
|
5 |
+
"eval_runtime": 50.3698,
|
6 |
"eval_samples": 890,
|
7 |
+
"eval_samples_per_second": 17.669,
|
8 |
+
"eval_steps_per_second": 2.224,
|
9 |
+
"eval_wer": 0.38667929292929293,
|
10 |
"total_flos": 1.8440987587856836e+20,
|
11 |
+
"train_loss": 0.1667554270485301,
|
12 |
+
"train_runtime": 81955.137,
|
13 |
"train_samples": 17267,
|
14 |
+
"train_samples_per_second": 12.641,
|
15 |
+
"train_steps_per_second": 0.791
|
16 |
}
|
eval--1hr test set_results.json
CHANGED
@@ -1,10 +1,10 @@
|
|
1 |
{
|
2 |
"epoch": 60.0,
|
3 |
-
"eval_cer": 0.
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime":
|
6 |
"eval_samples": 890,
|
7 |
-
"eval_samples_per_second":
|
8 |
-
"eval_steps_per_second":
|
9 |
-
"eval_wer": 0.
|
10 |
}
|
|
|
1 |
{
|
2 |
"epoch": 60.0,
|
3 |
+
"eval_cer": 0.14837227683643728,
|
4 |
+
"eval_loss": 0.480378657579422,
|
5 |
+
"eval_runtime": 50.3698,
|
6 |
"eval_samples": 890,
|
7 |
+
"eval_samples_per_second": 17.669,
|
8 |
+
"eval_steps_per_second": 2.224,
|
9 |
+
"eval_wer": 0.38667929292929293
|
10 |
}
|
train_results.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
"epoch": 60.0,
|
3 |
"total_flos": 1.8440987587856836e+20,
|
4 |
-
"train_loss": 0.
|
5 |
-
"train_runtime":
|
6 |
"train_samples": 17267,
|
7 |
-
"train_samples_per_second":
|
8 |
-
"train_steps_per_second": 0.
|
9 |
}
|
|
|
1 |
{
|
2 |
"epoch": 60.0,
|
3 |
"total_flos": 1.8440987587856836e+20,
|
4 |
+
"train_loss": 0.1667554270485301,
|
5 |
+
"train_runtime": 81955.137,
|
6 |
"train_samples": 17267,
|
7 |
+
"train_samples_per_second": 12.641,
|
8 |
+
"train_steps_per_second": 0.791
|
9 |
}
|
trainer_state.json
CHANGED
@@ -1,6 +1,6 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
-
"best_model_checkpoint": "/scratch/elec/puhe/p/palp3/sami_ASR/large_model_output/large-sami-
|
4 |
"epoch": 60.0,
|
5 |
"eval_steps": 500,
|
6 |
"global_step": 64800,
|
@@ -10,1032 +10,1032 @@
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 1.0,
|
13 |
-
"grad_norm": 0.
|
14 |
-
"learning_rate": 3.
|
15 |
-
"loss": 0.
|
16 |
"step": 1080
|
17 |
},
|
18 |
{
|
19 |
"epoch": 1.0,
|
20 |
-
"eval_cer": 0.
|
21 |
-
"eval_loss": 0.
|
22 |
-
"eval_runtime":
|
23 |
-
"eval_samples_per_second":
|
24 |
-
"eval_steps_per_second":
|
25 |
-
"eval_wer": 0.
|
26 |
"step": 1080
|
27 |
},
|
28 |
{
|
29 |
"epoch": 2.0,
|
30 |
-
"grad_norm":
|
31 |
-
"learning_rate": 6.
|
32 |
-
"loss": 0.
|
33 |
"step": 2160
|
34 |
},
|
35 |
{
|
36 |
"epoch": 2.0,
|
37 |
-
"eval_cer": 0.
|
38 |
-
"eval_loss": 0.
|
39 |
-
"eval_runtime":
|
40 |
-
"eval_samples_per_second":
|
41 |
-
"eval_steps_per_second":
|
42 |
-
"eval_wer": 0.
|
43 |
"step": 2160
|
44 |
},
|
45 |
{
|
46 |
"epoch": 3.0,
|
47 |
-
"grad_norm":
|
48 |
-
"learning_rate": 9.
|
49 |
-
"loss": 0.
|
50 |
"step": 3240
|
51 |
},
|
52 |
{
|
53 |
"epoch": 3.0,
|
54 |
-
"eval_cer": 0.
|
55 |
-
"eval_loss": 0.
|
56 |
-
"eval_runtime":
|
57 |
-
"eval_samples_per_second":
|
58 |
-
"eval_steps_per_second":
|
59 |
-
"eval_wer": 0.
|
60 |
"step": 3240
|
61 |
},
|
62 |
{
|
63 |
"epoch": 4.0,
|
64 |
-
"grad_norm":
|
65 |
-
"learning_rate": 0.
|
66 |
-
"loss": 0.
|
67 |
"step": 4320
|
68 |
},
|
69 |
{
|
70 |
"epoch": 4.0,
|
71 |
-
"eval_cer": 0.
|
72 |
-
"eval_loss": 0.
|
73 |
-
"eval_runtime":
|
74 |
-
"eval_samples_per_second":
|
75 |
-
"eval_steps_per_second":
|
76 |
-
"eval_wer": 0.
|
77 |
"step": 4320
|
78 |
},
|
79 |
{
|
80 |
"epoch": 5.0,
|
81 |
-
"grad_norm":
|
82 |
-
"learning_rate": 0.
|
83 |
-
"loss": 0.
|
84 |
"step": 5400
|
85 |
},
|
86 |
{
|
87 |
"epoch": 5.0,
|
88 |
-
"eval_cer": 0.
|
89 |
-
"eval_loss": 0.
|
90 |
-
"eval_runtime":
|
91 |
-
"eval_samples_per_second":
|
92 |
-
"eval_steps_per_second":
|
93 |
-
"eval_wer": 0.
|
94 |
"step": 5400
|
95 |
},
|
96 |
{
|
97 |
"epoch": 6.0,
|
98 |
-
"grad_norm":
|
99 |
-
"learning_rate": 0.
|
100 |
-
"loss": 0.
|
101 |
"step": 6480
|
102 |
},
|
103 |
{
|
104 |
"epoch": 6.0,
|
105 |
-
"eval_cer": 0.
|
106 |
-
"eval_loss": 0.
|
107 |
-
"eval_runtime":
|
108 |
-
"eval_samples_per_second":
|
109 |
-
"eval_steps_per_second":
|
110 |
-
"eval_wer": 0.
|
111 |
"step": 6480
|
112 |
},
|
113 |
{
|
114 |
"epoch": 7.0,
|
115 |
-
"grad_norm":
|
116 |
-
"learning_rate": 0.
|
117 |
-
"loss": 0.
|
118 |
"step": 7560
|
119 |
},
|
120 |
{
|
121 |
"epoch": 7.0,
|
122 |
-
"eval_cer": 0.
|
123 |
-
"eval_loss": 0.
|
124 |
-
"eval_runtime":
|
125 |
-
"eval_samples_per_second":
|
126 |
-
"eval_steps_per_second":
|
127 |
-
"eval_wer": 0.
|
128 |
"step": 7560
|
129 |
},
|
130 |
{
|
131 |
"epoch": 8.0,
|
132 |
-
"grad_norm":
|
133 |
-
"learning_rate": 0.
|
134 |
-
"loss": 0.
|
135 |
"step": 8640
|
136 |
},
|
137 |
{
|
138 |
"epoch": 8.0,
|
139 |
-
"eval_cer": 0.
|
140 |
-
"eval_loss": 0.
|
141 |
-
"eval_runtime":
|
142 |
-
"eval_samples_per_second":
|
143 |
-
"eval_steps_per_second":
|
144 |
-
"eval_wer": 0.
|
145 |
"step": 8640
|
146 |
},
|
147 |
{
|
148 |
"epoch": 9.0,
|
149 |
-
"grad_norm": 0.
|
150 |
-
"learning_rate": 0.
|
151 |
-
"loss": 0.
|
152 |
"step": 9720
|
153 |
},
|
154 |
{
|
155 |
"epoch": 9.0,
|
156 |
-
"eval_cer": 0.
|
157 |
-
"eval_loss":
|
158 |
-
"eval_runtime":
|
159 |
-
"eval_samples_per_second":
|
160 |
-
"eval_steps_per_second":
|
161 |
-
"eval_wer": 0.
|
162 |
"step": 9720
|
163 |
},
|
164 |
{
|
165 |
"epoch": 10.0,
|
166 |
-
"grad_norm":
|
167 |
-
"learning_rate": 0.
|
168 |
-
"loss": 0.
|
169 |
"step": 10800
|
170 |
},
|
171 |
{
|
172 |
"epoch": 10.0,
|
173 |
-
"eval_cer": 0.
|
174 |
-
"eval_loss":
|
175 |
-
"eval_runtime":
|
176 |
-
"eval_samples_per_second":
|
177 |
-
"eval_steps_per_second":
|
178 |
-
"eval_wer": 0.
|
179 |
"step": 10800
|
180 |
},
|
181 |
{
|
182 |
"epoch": 11.0,
|
183 |
-
"grad_norm":
|
184 |
-
"learning_rate": 0.
|
185 |
-
"loss": 0.
|
186 |
"step": 11880
|
187 |
},
|
188 |
{
|
189 |
"epoch": 11.0,
|
190 |
-
"eval_cer": 0.
|
191 |
-
"eval_loss":
|
192 |
-
"eval_runtime":
|
193 |
-
"eval_samples_per_second":
|
194 |
-
"eval_steps_per_second":
|
195 |
-
"eval_wer": 0.
|
196 |
"step": 11880
|
197 |
},
|
198 |
{
|
199 |
"epoch": 12.0,
|
200 |
-
"grad_norm":
|
201 |
-
"learning_rate": 0.
|
202 |
-
"loss": 0.
|
203 |
"step": 12960
|
204 |
},
|
205 |
{
|
206 |
"epoch": 12.0,
|
207 |
-
"eval_cer": 0.
|
208 |
-
"eval_loss":
|
209 |
-
"eval_runtime":
|
210 |
-
"eval_samples_per_second":
|
211 |
-
"eval_steps_per_second":
|
212 |
-
"eval_wer": 0.
|
213 |
"step": 12960
|
214 |
},
|
215 |
{
|
216 |
"epoch": 13.0,
|
217 |
-
"grad_norm":
|
218 |
-
"learning_rate": 0.
|
219 |
-
"loss": 0.
|
220 |
"step": 14040
|
221 |
},
|
222 |
{
|
223 |
"epoch": 13.0,
|
224 |
-
"eval_cer": 0.
|
225 |
-
"eval_loss":
|
226 |
-
"eval_runtime":
|
227 |
-
"eval_samples_per_second":
|
228 |
-
"eval_steps_per_second":
|
229 |
-
"eval_wer": 0.
|
230 |
"step": 14040
|
231 |
},
|
232 |
{
|
233 |
"epoch": 14.0,
|
234 |
-
"grad_norm":
|
235 |
-
"learning_rate": 0.
|
236 |
-
"loss": 0.
|
237 |
"step": 15120
|
238 |
},
|
239 |
{
|
240 |
"epoch": 14.0,
|
241 |
-
"eval_cer": 0.
|
242 |
-
"eval_loss": 0.
|
243 |
-
"eval_runtime":
|
244 |
-
"eval_samples_per_second":
|
245 |
-
"eval_steps_per_second":
|
246 |
-
"eval_wer": 0.
|
247 |
"step": 15120
|
248 |
},
|
249 |
{
|
250 |
"epoch": 15.0,
|
251 |
-
"grad_norm": 0.
|
252 |
-
"learning_rate": 0.
|
253 |
-
"loss": 0.
|
254 |
"step": 16200
|
255 |
},
|
256 |
{
|
257 |
"epoch": 15.0,
|
258 |
-
"eval_cer": 0.
|
259 |
-
"eval_loss":
|
260 |
-
"eval_runtime":
|
261 |
-
"eval_samples_per_second":
|
262 |
-
"eval_steps_per_second":
|
263 |
-
"eval_wer": 0.
|
264 |
"step": 16200
|
265 |
},
|
266 |
{
|
267 |
"epoch": 16.0,
|
268 |
-
"grad_norm":
|
269 |
-
"learning_rate": 0.
|
270 |
-
"loss": 0.
|
271 |
"step": 17280
|
272 |
},
|
273 |
{
|
274 |
"epoch": 16.0,
|
275 |
-
"eval_cer": 0.
|
276 |
-
"eval_loss":
|
277 |
-
"eval_runtime":
|
278 |
-
"eval_samples_per_second":
|
279 |
-
"eval_steps_per_second":
|
280 |
-
"eval_wer": 0.
|
281 |
"step": 17280
|
282 |
},
|
283 |
{
|
284 |
"epoch": 17.0,
|
285 |
-
"grad_norm": 0.
|
286 |
-
"learning_rate": 0.
|
287 |
-
"loss": 0.
|
288 |
"step": 18360
|
289 |
},
|
290 |
{
|
291 |
"epoch": 17.0,
|
292 |
-
"eval_cer": 0.
|
293 |
-
"eval_loss":
|
294 |
-
"eval_runtime":
|
295 |
-
"eval_samples_per_second":
|
296 |
-
"eval_steps_per_second": 2.
|
297 |
-
"eval_wer": 0.
|
298 |
"step": 18360
|
299 |
},
|
300 |
{
|
301 |
"epoch": 18.0,
|
302 |
-
"grad_norm": 0.
|
303 |
-
"learning_rate": 0.
|
304 |
-
"loss": 0.
|
305 |
"step": 19440
|
306 |
},
|
307 |
{
|
308 |
"epoch": 18.0,
|
309 |
-
"eval_cer": 0.
|
310 |
-
"eval_loss":
|
311 |
-
"eval_runtime":
|
312 |
-
"eval_samples_per_second":
|
313 |
-
"eval_steps_per_second":
|
314 |
-
"eval_wer": 0.
|
315 |
"step": 19440
|
316 |
},
|
317 |
{
|
318 |
"epoch": 19.0,
|
319 |
-
"grad_norm":
|
320 |
-
"learning_rate": 0.
|
321 |
-
"loss": 0.
|
322 |
"step": 20520
|
323 |
},
|
324 |
{
|
325 |
"epoch": 19.0,
|
326 |
-
"eval_cer": 0.
|
327 |
-
"eval_loss": 0.
|
328 |
-
"eval_runtime":
|
329 |
-
"eval_samples_per_second":
|
330 |
-
"eval_steps_per_second":
|
331 |
-
"eval_wer": 0.
|
332 |
"step": 20520
|
333 |
},
|
334 |
{
|
335 |
"epoch": 20.0,
|
336 |
-
"grad_norm": 0.
|
337 |
-
"learning_rate": 0.
|
338 |
-
"loss": 0.
|
339 |
"step": 21600
|
340 |
},
|
341 |
{
|
342 |
"epoch": 20.0,
|
343 |
-
"eval_cer": 0.
|
344 |
-
"eval_loss": 0.
|
345 |
-
"eval_runtime":
|
346 |
-
"eval_samples_per_second":
|
347 |
-
"eval_steps_per_second":
|
348 |
-
"eval_wer": 0.
|
349 |
"step": 21600
|
350 |
},
|
351 |
{
|
352 |
"epoch": 21.0,
|
353 |
-
"grad_norm":
|
354 |
"learning_rate": 0.0004334362139917696,
|
355 |
-
"loss": 0.
|
356 |
"step": 22680
|
357 |
},
|
358 |
{
|
359 |
"epoch": 21.0,
|
360 |
-
"eval_cer": 0.
|
361 |
-
"eval_loss": 0.
|
362 |
-
"eval_runtime":
|
363 |
-
"eval_samples_per_second":
|
364 |
-
"eval_steps_per_second":
|
365 |
-
"eval_wer": 0.
|
366 |
"step": 22680
|
367 |
},
|
368 |
{
|
369 |
"epoch": 22.0,
|
370 |
-
"grad_norm":
|
371 |
-
"learning_rate": 0.
|
372 |
-
"loss": 0.
|
373 |
"step": 23760
|
374 |
},
|
375 |
{
|
376 |
"epoch": 22.0,
|
377 |
-
"eval_cer": 0.
|
378 |
-
"eval_loss": 0.
|
379 |
-
"eval_runtime":
|
380 |
-
"eval_samples_per_second":
|
381 |
-
"eval_steps_per_second":
|
382 |
-
"eval_wer": 0.
|
383 |
"step": 23760
|
384 |
},
|
385 |
{
|
386 |
"epoch": 23.0,
|
387 |
-
"grad_norm":
|
388 |
"learning_rate": 0.00041122427983539094,
|
389 |
-
"loss": 0.
|
390 |
"step": 24840
|
391 |
},
|
392 |
{
|
393 |
"epoch": 23.0,
|
394 |
-
"eval_cer": 0.
|
395 |
-
"eval_loss":
|
396 |
-
"eval_runtime":
|
397 |
-
"eval_samples_per_second":
|
398 |
-
"eval_steps_per_second":
|
399 |
-
"eval_wer": 0.
|
400 |
"step": 24840
|
401 |
},
|
402 |
{
|
403 |
"epoch": 24.0,
|
404 |
-
"grad_norm": 0.
|
405 |
"learning_rate": 0.00040011316872427984,
|
406 |
-
"loss": 0.
|
407 |
"step": 25920
|
408 |
},
|
409 |
{
|
410 |
"epoch": 24.0,
|
411 |
-
"eval_cer": 0.
|
412 |
-
"eval_loss": 0.
|
413 |
-
"eval_runtime":
|
414 |
-
"eval_samples_per_second":
|
415 |
-
"eval_steps_per_second":
|
416 |
-
"eval_wer": 0.
|
417 |
"step": 25920
|
418 |
},
|
419 |
{
|
420 |
"epoch": 25.0,
|
421 |
-
"grad_norm":
|
422 |
-
"learning_rate": 0.
|
423 |
-
"loss": 0.
|
424 |
"step": 27000
|
425 |
},
|
426 |
{
|
427 |
"epoch": 25.0,
|
428 |
-
"eval_cer": 0.
|
429 |
-
"eval_loss": 0.
|
430 |
-
"eval_runtime":
|
431 |
-
"eval_samples_per_second":
|
432 |
-
"eval_steps_per_second":
|
433 |
-
"eval_wer": 0.
|
434 |
"step": 27000
|
435 |
},
|
436 |
{
|
437 |
"epoch": 26.0,
|
438 |
-
"grad_norm": 0.
|
439 |
-
"learning_rate": 0.
|
440 |
-
"loss": 0.
|
441 |
"step": 28080
|
442 |
},
|
443 |
{
|
444 |
"epoch": 26.0,
|
445 |
-
"eval_cer": 0.
|
446 |
-
"eval_loss": 0.
|
447 |
-
"eval_runtime":
|
448 |
-
"eval_samples_per_second":
|
449 |
-
"eval_steps_per_second":
|
450 |
-
"eval_wer": 0.
|
451 |
"step": 28080
|
452 |
},
|
453 |
{
|
454 |
"epoch": 27.0,
|
455 |
-
"grad_norm":
|
456 |
-
"learning_rate": 0.
|
457 |
-
"loss": 0.
|
458 |
"step": 29160
|
459 |
},
|
460 |
{
|
461 |
"epoch": 27.0,
|
462 |
-
"eval_cer": 0.
|
463 |
-
"eval_loss": 0.
|
464 |
-
"eval_runtime":
|
465 |
-
"eval_samples_per_second":
|
466 |
-
"eval_steps_per_second":
|
467 |
-
"eval_wer": 0.
|
468 |
"step": 29160
|
469 |
},
|
470 |
{
|
471 |
"epoch": 28.0,
|
472 |
-
"grad_norm": 0.
|
473 |
-
"learning_rate": 0.
|
474 |
-
"loss": 0.
|
475 |
"step": 30240
|
476 |
},
|
477 |
{
|
478 |
"epoch": 28.0,
|
479 |
-
"eval_cer": 0.
|
480 |
-
"eval_loss": 0.
|
481 |
-
"eval_runtime":
|
482 |
-
"eval_samples_per_second":
|
483 |
-
"eval_steps_per_second":
|
484 |
-
"eval_wer": 0.
|
485 |
"step": 30240
|
486 |
},
|
487 |
{
|
488 |
"epoch": 29.0,
|
489 |
-
"grad_norm": 0.
|
490 |
-
"learning_rate": 0.
|
491 |
-
"loss": 0.
|
492 |
"step": 31320
|
493 |
},
|
494 |
{
|
495 |
"epoch": 29.0,
|
496 |
-
"eval_cer": 0.
|
497 |
-
"eval_loss": 0.
|
498 |
-
"eval_runtime":
|
499 |
-
"eval_samples_per_second":
|
500 |
-
"eval_steps_per_second":
|
501 |
-
"eval_wer": 0.
|
502 |
"step": 31320
|
503 |
},
|
504 |
{
|
505 |
"epoch": 30.0,
|
506 |
-
"grad_norm":
|
507 |
-
"learning_rate": 0.
|
508 |
-
"loss": 0.
|
509 |
"step": 32400
|
510 |
},
|
511 |
{
|
512 |
"epoch": 30.0,
|
513 |
-
"eval_cer": 0.
|
514 |
-
"eval_loss": 0.
|
515 |
-
"eval_runtime":
|
516 |
-
"eval_samples_per_second":
|
517 |
-
"eval_steps_per_second":
|
518 |
-
"eval_wer": 0.
|
519 |
"step": 32400
|
520 |
},
|
521 |
{
|
522 |
"epoch": 31.0,
|
523 |
-
"grad_norm":
|
524 |
-
"learning_rate": 0.
|
525 |
-
"loss": 0.
|
526 |
"step": 33480
|
527 |
},
|
528 |
{
|
529 |
"epoch": 31.0,
|
530 |
-
"eval_cer": 0.
|
531 |
-
"eval_loss": 0.
|
532 |
-
"eval_runtime":
|
533 |
-
"eval_samples_per_second":
|
534 |
-
"eval_steps_per_second":
|
535 |
-
"eval_wer": 0.
|
536 |
"step": 33480
|
537 |
},
|
538 |
{
|
539 |
"epoch": 32.0,
|
540 |
-
"grad_norm": 0.
|
541 |
"learning_rate": 0.0003112448559670782,
|
542 |
-
"loss": 0.
|
543 |
"step": 34560
|
544 |
},
|
545 |
{
|
546 |
"epoch": 32.0,
|
547 |
-
"eval_cer": 0.
|
548 |
-
"eval_loss": 0.
|
549 |
-
"eval_runtime":
|
550 |
-
"eval_samples_per_second":
|
551 |
-
"eval_steps_per_second":
|
552 |
-
"eval_wer": 0.
|
553 |
"step": 34560
|
554 |
},
|
555 |
{
|
556 |
"epoch": 33.0,
|
557 |
-
"grad_norm":
|
558 |
-
"learning_rate": 0.
|
559 |
-
"loss": 0.
|
560 |
"step": 35640
|
561 |
},
|
562 |
{
|
563 |
"epoch": 33.0,
|
564 |
-
"eval_cer": 0.
|
565 |
-
"eval_loss": 0.
|
566 |
-
"eval_runtime":
|
567 |
-
"eval_samples_per_second":
|
568 |
-
"eval_steps_per_second":
|
569 |
-
"eval_wer": 0.
|
570 |
"step": 35640
|
571 |
},
|
572 |
{
|
573 |
"epoch": 34.0,
|
574 |
-
"grad_norm":
|
575 |
-
"learning_rate": 0.
|
576 |
-
"loss": 0.
|
577 |
"step": 36720
|
578 |
},
|
579 |
{
|
580 |
"epoch": 34.0,
|
581 |
-
"eval_cer": 0.
|
582 |
-
"eval_loss": 0.
|
583 |
-
"eval_runtime":
|
584 |
-
"eval_samples_per_second":
|
585 |
-
"eval_steps_per_second":
|
586 |
-
"eval_wer": 0.
|
587 |
"step": 36720
|
588 |
},
|
589 |
{
|
590 |
"epoch": 35.0,
|
591 |
-
"grad_norm":
|
592 |
-
"learning_rate": 0.
|
593 |
-
"loss": 0.
|
594 |
"step": 37800
|
595 |
},
|
596 |
{
|
597 |
"epoch": 35.0,
|
598 |
-
"eval_cer": 0.
|
599 |
-
"eval_loss": 0.
|
600 |
-
"eval_runtime":
|
601 |
-
"eval_samples_per_second":
|
602 |
-
"eval_steps_per_second":
|
603 |
-
"eval_wer": 0.
|
604 |
"step": 37800
|
605 |
},
|
606 |
{
|
607 |
"epoch": 36.0,
|
608 |
-
"grad_norm":
|
609 |
"learning_rate": 0.000266820987654321,
|
610 |
-
"loss": 0.
|
611 |
"step": 38880
|
612 |
},
|
613 |
{
|
614 |
"epoch": 36.0,
|
615 |
-
"eval_cer": 0.
|
616 |
-
"eval_loss": 0.
|
617 |
-
"eval_runtime":
|
618 |
-
"eval_samples_per_second":
|
619 |
-
"eval_steps_per_second":
|
620 |
-
"eval_wer": 0.
|
621 |
"step": 38880
|
622 |
},
|
623 |
{
|
624 |
"epoch": 37.0,
|
625 |
-
"grad_norm": 0.
|
626 |
"learning_rate": 0.0002557098765432099,
|
627 |
-
"loss": 0.
|
628 |
"step": 39960
|
629 |
},
|
630 |
{
|
631 |
"epoch": 37.0,
|
632 |
-
"eval_cer": 0.
|
633 |
-
"eval_loss": 0.
|
634 |
-
"eval_runtime":
|
635 |
-
"eval_samples_per_second":
|
636 |
-
"eval_steps_per_second":
|
637 |
-
"eval_wer": 0.
|
638 |
"step": 39960
|
639 |
},
|
640 |
{
|
641 |
"epoch": 38.0,
|
642 |
-
"grad_norm": 0.
|
643 |
"learning_rate": 0.0002445987654320988,
|
644 |
-
"loss": 0.
|
645 |
"step": 41040
|
646 |
},
|
647 |
{
|
648 |
"epoch": 38.0,
|
649 |
-
"eval_cer": 0.
|
650 |
-
"eval_loss": 0.
|
651 |
-
"eval_runtime":
|
652 |
-
"eval_samples_per_second":
|
653 |
-
"eval_steps_per_second":
|
654 |
-
"eval_wer": 0.
|
655 |
"step": 41040
|
656 |
},
|
657 |
{
|
658 |
"epoch": 39.0,
|
659 |
-
"grad_norm":
|
660 |
-
"learning_rate": 0.
|
661 |
-
"loss": 0.
|
662 |
"step": 42120
|
663 |
},
|
664 |
{
|
665 |
"epoch": 39.0,
|
666 |
-
"eval_cer": 0.
|
667 |
-
"eval_loss": 0.
|
668 |
-
"eval_runtime":
|
669 |
-
"eval_samples_per_second":
|
670 |
-
"eval_steps_per_second":
|
671 |
-
"eval_wer": 0.
|
672 |
"step": 42120
|
673 |
},
|
674 |
{
|
675 |
"epoch": 40.0,
|
676 |
-
"grad_norm":
|
677 |
"learning_rate": 0.00022238683127572017,
|
678 |
-
"loss": 0.
|
679 |
"step": 43200
|
680 |
},
|
681 |
{
|
682 |
"epoch": 40.0,
|
683 |
-
"eval_cer": 0.
|
684 |
-
"eval_loss": 0.
|
685 |
-
"eval_runtime":
|
686 |
-
"eval_samples_per_second":
|
687 |
-
"eval_steps_per_second":
|
688 |
-
"eval_wer": 0.
|
689 |
"step": 43200
|
690 |
},
|
691 |
{
|
692 |
"epoch": 41.0,
|
693 |
-
"grad_norm": 0.
|
694 |
-
"learning_rate": 0.
|
695 |
-
"loss": 0.
|
696 |
"step": 44280
|
697 |
},
|
698 |
{
|
699 |
"epoch": 41.0,
|
700 |
-
"eval_cer": 0.
|
701 |
-
"eval_loss": 0.
|
702 |
-
"eval_runtime":
|
703 |
-
"eval_samples_per_second":
|
704 |
-
"eval_steps_per_second":
|
705 |
-
"eval_wer": 0.
|
706 |
"step": 44280
|
707 |
},
|
708 |
{
|
709 |
"epoch": 42.0,
|
710 |
-
"grad_norm":
|
711 |
"learning_rate": 0.00020017489711934155,
|
712 |
-
"loss": 0.
|
713 |
"step": 45360
|
714 |
},
|
715 |
{
|
716 |
"epoch": 42.0,
|
717 |
-
"eval_cer": 0.
|
718 |
-
"eval_loss": 0.
|
719 |
-
"eval_runtime":
|
720 |
-
"eval_samples_per_second":
|
721 |
-
"eval_steps_per_second":
|
722 |
-
"eval_wer": 0.
|
723 |
"step": 45360
|
724 |
},
|
725 |
{
|
726 |
"epoch": 43.0,
|
727 |
-
"grad_norm": 0.
|
728 |
"learning_rate": 0.00018907407407407406,
|
729 |
-
"loss": 0.
|
730 |
"step": 46440
|
731 |
},
|
732 |
{
|
733 |
"epoch": 43.0,
|
734 |
-
"eval_cer": 0.
|
735 |
-
"eval_loss": 0.
|
736 |
-
"eval_runtime":
|
737 |
-
"eval_samples_per_second":
|
738 |
-
"eval_steps_per_second":
|
739 |
-
"eval_wer": 0.
|
740 |
"step": 46440
|
741 |
},
|
742 |
{
|
743 |
"epoch": 44.0,
|
744 |
-
"grad_norm": 0.
|
745 |
-
"learning_rate": 0.
|
746 |
-
"loss": 0.
|
747 |
"step": 47520
|
748 |
},
|
749 |
{
|
750 |
"epoch": 44.0,
|
751 |
-
"eval_cer": 0.
|
752 |
-
"eval_loss": 0.
|
753 |
-
"eval_runtime":
|
754 |
-
"eval_samples_per_second":
|
755 |
-
"eval_steps_per_second":
|
756 |
-
"eval_wer": 0.
|
757 |
"step": 47520
|
758 |
},
|
759 |
{
|
760 |
"epoch": 45.0,
|
761 |
-
"grad_norm": 0.
|
762 |
-
"learning_rate": 0.
|
763 |
-
"loss": 0.
|
764 |
"step": 48600
|
765 |
},
|
766 |
{
|
767 |
"epoch": 45.0,
|
768 |
-
"eval_cer": 0.
|
769 |
-
"eval_loss": 0.
|
770 |
-
"eval_runtime":
|
771 |
-
"eval_samples_per_second":
|
772 |
-
"eval_steps_per_second":
|
773 |
-
"eval_wer": 0.
|
774 |
"step": 48600
|
775 |
},
|
776 |
{
|
777 |
"epoch": 46.0,
|
778 |
-
"grad_norm": 0.
|
779 |
"learning_rate": 0.00015575102880658438,
|
780 |
-
"loss": 0.
|
781 |
"step": 49680
|
782 |
},
|
783 |
{
|
784 |
"epoch": 46.0,
|
785 |
-
"eval_cer": 0.
|
786 |
-
"eval_loss": 0.
|
787 |
-
"eval_runtime":
|
788 |
-
"eval_samples_per_second":
|
789 |
-
"eval_steps_per_second":
|
790 |
-
"eval_wer": 0.
|
791 |
"step": 49680
|
792 |
},
|
793 |
{
|
794 |
"epoch": 47.0,
|
795 |
-
"grad_norm":
|
796 |
"learning_rate": 0.00014463991769547325,
|
797 |
-
"loss": 0.
|
798 |
"step": 50760
|
799 |
},
|
800 |
{
|
801 |
"epoch": 47.0,
|
802 |
-
"eval_cer": 0.
|
803 |
-
"eval_loss": 0.
|
804 |
-
"eval_runtime":
|
805 |
-
"eval_samples_per_second":
|
806 |
-
"eval_steps_per_second":
|
807 |
-
"eval_wer": 0.
|
808 |
"step": 50760
|
809 |
},
|
810 |
{
|
811 |
"epoch": 48.0,
|
812 |
-
"grad_norm": 0.
|
813 |
-
"learning_rate": 0.
|
814 |
-
"loss": 0.
|
815 |
"step": 51840
|
816 |
},
|
817 |
{
|
818 |
"epoch": 48.0,
|
819 |
-
"eval_cer": 0.
|
820 |
-
"eval_loss": 0.
|
821 |
-
"eval_runtime":
|
822 |
-
"eval_samples_per_second":
|
823 |
-
"eval_steps_per_second":
|
824 |
-
"eval_wer": 0.
|
825 |
"step": 51840
|
826 |
},
|
827 |
{
|
828 |
"epoch": 49.0,
|
829 |
-
"grad_norm":
|
830 |
-
"learning_rate": 0.
|
831 |
-
"loss": 0.
|
832 |
"step": 52920
|
833 |
},
|
834 |
{
|
835 |
"epoch": 49.0,
|
836 |
-
"eval_cer": 0.
|
837 |
-
"eval_loss": 0.
|
838 |
-
"eval_runtime":
|
839 |
-
"eval_samples_per_second":
|
840 |
-
"eval_steps_per_second":
|
841 |
-
"eval_wer": 0.
|
842 |
"step": 52920
|
843 |
},
|
844 |
{
|
845 |
"epoch": 50.0,
|
846 |
-
"grad_norm":
|
847 |
"learning_rate": 0.00011131687242798354,
|
848 |
-
"loss": 0.
|
849 |
"step": 54000
|
850 |
},
|
851 |
{
|
852 |
"epoch": 50.0,
|
853 |
-
"eval_cer": 0.
|
854 |
-
"eval_loss":
|
855 |
-
"eval_runtime":
|
856 |
-
"eval_samples_per_second":
|
857 |
-
"eval_steps_per_second":
|
858 |
-
"eval_wer": 0.
|
859 |
"step": 54000
|
860 |
},
|
861 |
{
|
862 |
"epoch": 51.0,
|
863 |
-
"grad_norm": 0.
|
864 |
-
"learning_rate": 0.
|
865 |
-
"loss": 0.
|
866 |
"step": 55080
|
867 |
},
|
868 |
{
|
869 |
"epoch": 51.0,
|
870 |
-
"eval_cer": 0.
|
871 |
-
"eval_loss":
|
872 |
-
"eval_runtime":
|
873 |
-
"eval_samples_per_second":
|
874 |
-
"eval_steps_per_second":
|
875 |
-
"eval_wer": 0.
|
876 |
"step": 55080
|
877 |
},
|
878 |
{
|
879 |
"epoch": 52.0,
|
880 |
-
"grad_norm": 0.
|
881 |
-
"learning_rate": 8.
|
882 |
-
"loss": 0.
|
883 |
"step": 56160
|
884 |
},
|
885 |
{
|
886 |
"epoch": 52.0,
|
887 |
-
"eval_cer": 0.
|
888 |
-
"eval_loss":
|
889 |
-
"eval_runtime":
|
890 |
-
"eval_samples_per_second":
|
891 |
-
"eval_steps_per_second":
|
892 |
-
"eval_wer": 0.
|
893 |
"step": 56160
|
894 |
},
|
895 |
{
|
896 |
"epoch": 53.0,
|
897 |
-
"grad_norm":
|
898 |
"learning_rate": 7.799382716049382e-05,
|
899 |
-
"loss": 0.
|
900 |
"step": 57240
|
901 |
},
|
902 |
{
|
903 |
"epoch": 53.0,
|
904 |
-
"eval_cer": 0.
|
905 |
-
"eval_loss":
|
906 |
-
"eval_runtime":
|
907 |
-
"eval_samples_per_second":
|
908 |
-
"eval_steps_per_second":
|
909 |
-
"eval_wer": 0.
|
910 |
"step": 57240
|
911 |
},
|
912 |
{
|
913 |
"epoch": 54.0,
|
914 |
-
"grad_norm": 0.
|
915 |
-
"learning_rate": 6.
|
916 |
-
"loss": 0.
|
917 |
"step": 58320
|
918 |
},
|
919 |
{
|
920 |
"epoch": 54.0,
|
921 |
-
"eval_cer": 0.
|
922 |
-
"eval_loss":
|
923 |
-
"eval_runtime":
|
924 |
-
"eval_samples_per_second":
|
925 |
-
"eval_steps_per_second":
|
926 |
-
"eval_wer": 0.
|
927 |
"step": 58320
|
928 |
},
|
929 |
{
|
930 |
"epoch": 55.0,
|
931 |
-
"grad_norm":
|
932 |
-
"learning_rate": 5.
|
933 |
-
"loss": 0.
|
934 |
"step": 59400
|
935 |
},
|
936 |
{
|
937 |
"epoch": 55.0,
|
938 |
-
"eval_cer": 0.
|
939 |
-
"eval_loss":
|
940 |
-
"eval_runtime":
|
941 |
-
"eval_samples_per_second":
|
942 |
-
"eval_steps_per_second":
|
943 |
-
"eval_wer": 0.
|
944 |
"step": 59400
|
945 |
},
|
946 |
{
|
947 |
"epoch": 56.0,
|
948 |
-
"grad_norm": 0.
|
949 |
-
"learning_rate": 4.
|
950 |
-
"loss": 0.
|
951 |
"step": 60480
|
952 |
},
|
953 |
{
|
954 |
"epoch": 56.0,
|
955 |
-
"eval_cer": 0.
|
956 |
-
"eval_loss":
|
957 |
-
"eval_runtime":
|
958 |
-
"eval_samples_per_second":
|
959 |
-
"eval_steps_per_second":
|
960 |
-
"eval_wer": 0.
|
961 |
"step": 60480
|
962 |
},
|
963 |
{
|
964 |
"epoch": 57.0,
|
965 |
-
"grad_norm": 0.
|
966 |
-
"learning_rate": 3.
|
967 |
-
"loss": 0.
|
968 |
"step": 61560
|
969 |
},
|
970 |
{
|
971 |
"epoch": 57.0,
|
972 |
-
"eval_cer": 0.
|
973 |
-
"eval_loss":
|
974 |
-
"eval_runtime":
|
975 |
-
"eval_samples_per_second":
|
976 |
-
"eval_steps_per_second":
|
977 |
-
"eval_wer": 0.
|
978 |
"step": 61560
|
979 |
},
|
980 |
{
|
981 |
"epoch": 58.0,
|
982 |
-
"grad_norm": 0.
|
983 |
-
"learning_rate": 2.
|
984 |
-
"loss": 0.
|
985 |
"step": 62640
|
986 |
},
|
987 |
{
|
988 |
"epoch": 58.0,
|
989 |
-
"eval_cer": 0.
|
990 |
-
"eval_loss":
|
991 |
-
"eval_runtime":
|
992 |
-
"eval_samples_per_second":
|
993 |
-
"eval_steps_per_second":
|
994 |
-
"eval_wer": 0.
|
995 |
"step": 62640
|
996 |
},
|
997 |
{
|
998 |
"epoch": 59.0,
|
999 |
-
"grad_norm": 0.
|
1000 |
-
"learning_rate": 1.
|
1001 |
-
"loss": 0.
|
1002 |
"step": 63720
|
1003 |
},
|
1004 |
{
|
1005 |
"epoch": 59.0,
|
1006 |
-
"eval_cer": 0.
|
1007 |
-
"eval_loss":
|
1008 |
-
"eval_runtime":
|
1009 |
-
"eval_samples_per_second":
|
1010 |
-
"eval_steps_per_second":
|
1011 |
-
"eval_wer": 0.
|
1012 |
"step": 63720
|
1013 |
},
|
1014 |
{
|
1015 |
"epoch": 60.0,
|
1016 |
-
"grad_norm":
|
1017 |
-
"learning_rate": 2.
|
1018 |
-
"loss": 0.
|
1019 |
"step": 64800
|
1020 |
},
|
1021 |
{
|
1022 |
"epoch": 60.0,
|
1023 |
-
"eval_cer": 0.
|
1024 |
-
"eval_loss":
|
1025 |
-
"eval_runtime":
|
1026 |
-
"eval_samples_per_second":
|
1027 |
-
"eval_steps_per_second":
|
1028 |
-
"eval_wer": 0.
|
1029 |
"step": 64800
|
1030 |
},
|
1031 |
{
|
1032 |
"epoch": 60.0,
|
1033 |
"step": 64800,
|
1034 |
"total_flos": 1.8440987587856836e+20,
|
1035 |
-
"train_loss": 0.
|
1036 |
-
"train_runtime":
|
1037 |
-
"train_samples_per_second":
|
1038 |
-
"train_steps_per_second": 0.
|
1039 |
}
|
1040 |
],
|
1041 |
"logging_steps": 500,
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.38667929292929293,
|
3 |
+
"best_model_checkpoint": "/scratch/elec/puhe/p/palp3/sami_ASR/large_model_output/large-sami-22k-finetuned/outputs/checkpoint-1080",
|
4 |
"epoch": 60.0,
|
5 |
"eval_steps": 500,
|
6 |
"global_step": 64800,
|
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 1.0,
|
13 |
+
"grad_norm": 0.5049565434455872,
|
14 |
+
"learning_rate": 3.32716049382716e-05,
|
15 |
+
"loss": 0.126,
|
16 |
"step": 1080
|
17 |
},
|
18 |
{
|
19 |
"epoch": 1.0,
|
20 |
+
"eval_cer": 0.1485204762139999,
|
21 |
+
"eval_loss": 0.4803544282913208,
|
22 |
+
"eval_runtime": 50.5555,
|
23 |
+
"eval_samples_per_second": 17.604,
|
24 |
+
"eval_steps_per_second": 2.215,
|
25 |
+
"eval_wer": 0.38667929292929293,
|
26 |
"step": 1080
|
27 |
},
|
28 |
{
|
29 |
"epoch": 2.0,
|
30 |
+
"grad_norm": 2.3093390464782715,
|
31 |
+
"learning_rate": 6.660493827160493e-05,
|
32 |
+
"loss": 0.1441,
|
33 |
"step": 2160
|
34 |
},
|
35 |
{
|
36 |
"epoch": 2.0,
|
37 |
+
"eval_cer": 0.19503038087240035,
|
38 |
+
"eval_loss": 0.6097356677055359,
|
39 |
+
"eval_runtime": 49.9713,
|
40 |
+
"eval_samples_per_second": 17.81,
|
41 |
+
"eval_steps_per_second": 2.241,
|
42 |
+
"eval_wer": 0.44239267676767674,
|
43 |
"step": 2160
|
44 |
},
|
45 |
{
|
46 |
"epoch": 3.0,
|
47 |
+
"grad_norm": 3.067934513092041,
|
48 |
+
"learning_rate": 9.99074074074074e-05,
|
49 |
+
"loss": 0.1675,
|
50 |
"step": 3240
|
51 |
},
|
52 |
{
|
53 |
"epoch": 3.0,
|
54 |
+
"eval_cer": 0.16756409623079582,
|
55 |
+
"eval_loss": 0.5237330198287964,
|
56 |
+
"eval_runtime": 52.1692,
|
57 |
+
"eval_samples_per_second": 17.06,
|
58 |
+
"eval_steps_per_second": 2.147,
|
59 |
+
"eval_wer": 0.444760101010101,
|
60 |
"step": 3240
|
61 |
},
|
62 |
{
|
63 |
"epoch": 4.0,
|
64 |
+
"grad_norm": 6.190335750579834,
|
65 |
+
"learning_rate": 0.00013324074074074074,
|
66 |
+
"loss": 0.1919,
|
67 |
"step": 4320
|
68 |
},
|
69 |
{
|
70 |
"epoch": 4.0,
|
71 |
+
"eval_cer": 0.188435508570864,
|
72 |
+
"eval_loss": 0.6256272196769714,
|
73 |
+
"eval_runtime": 49.8649,
|
74 |
+
"eval_samples_per_second": 17.848,
|
75 |
+
"eval_steps_per_second": 2.246,
|
76 |
+
"eval_wer": 0.484375,
|
77 |
"step": 4320
|
78 |
},
|
79 |
{
|
80 |
"epoch": 5.0,
|
81 |
+
"grad_norm": 10.29676342010498,
|
82 |
+
"learning_rate": 0.0001665432098765432,
|
83 |
+
"loss": 0.2168,
|
84 |
"step": 5400
|
85 |
},
|
86 |
{
|
87 |
"epoch": 5.0,
|
88 |
+
"eval_cer": 0.1991552635478931,
|
89 |
+
"eval_loss": 0.6817235946655273,
|
90 |
+
"eval_runtime": 49.9056,
|
91 |
+
"eval_samples_per_second": 17.834,
|
92 |
+
"eval_steps_per_second": 2.244,
|
93 |
+
"eval_wer": 0.5130997474747475,
|
94 |
"step": 5400
|
95 |
},
|
96 |
{
|
97 |
"epoch": 6.0,
|
98 |
+
"grad_norm": 16.29789924621582,
|
99 |
+
"learning_rate": 0.00019987654320987656,
|
100 |
+
"loss": 0.2411,
|
101 |
"step": 6480
|
102 |
},
|
103 |
{
|
104 |
"epoch": 6.0,
|
105 |
+
"eval_cer": 0.20411994269624067,
|
106 |
+
"eval_loss": 0.6815704703330994,
|
107 |
+
"eval_runtime": 47.2826,
|
108 |
+
"eval_samples_per_second": 18.823,
|
109 |
+
"eval_steps_per_second": 2.369,
|
110 |
+
"eval_wer": 0.5233585858585859,
|
111 |
"step": 6480
|
112 |
},
|
113 |
{
|
114 |
"epoch": 7.0,
|
115 |
+
"grad_norm": 13.96838665008545,
|
116 |
+
"learning_rate": 0.000233179012345679,
|
117 |
+
"loss": 0.2493,
|
118 |
"step": 7560
|
119 |
},
|
120 |
{
|
121 |
"epoch": 7.0,
|
122 |
+
"eval_cer": 0.2558662253618535,
|
123 |
+
"eval_loss": 0.8295482993125916,
|
124 |
+
"eval_runtime": 47.3326,
|
125 |
+
"eval_samples_per_second": 18.803,
|
126 |
+
"eval_steps_per_second": 2.366,
|
127 |
+
"eval_wer": 0.6788194444444444,
|
128 |
"step": 7560
|
129 |
},
|
130 |
{
|
131 |
"epoch": 8.0,
|
132 |
+
"grad_norm": 12.302577018737793,
|
133 |
+
"learning_rate": 0.0002665123456790123,
|
134 |
+
"loss": 0.2718,
|
135 |
"step": 8640
|
136 |
},
|
137 |
{
|
138 |
"epoch": 8.0,
|
139 |
+
"eval_cer": 0.2669070789902682,
|
140 |
+
"eval_loss": 0.8849073648452759,
|
141 |
+
"eval_runtime": 47.1385,
|
142 |
+
"eval_samples_per_second": 18.881,
|
143 |
+
"eval_steps_per_second": 2.376,
|
144 |
+
"eval_wer": 0.6756628787878788,
|
145 |
"step": 8640
|
146 |
},
|
147 |
{
|
148 |
"epoch": 9.0,
|
149 |
+
"grad_norm": 0.21664512157440186,
|
150 |
+
"learning_rate": 0.0002998148148148148,
|
151 |
+
"loss": 0.2922,
|
152 |
"step": 9720
|
153 |
},
|
154 |
{
|
155 |
"epoch": 9.0,
|
156 |
+
"eval_cer": 0.3401422714024601,
|
157 |
+
"eval_loss": 1.0527104139328003,
|
158 |
+
"eval_runtime": 49.2164,
|
159 |
+
"eval_samples_per_second": 18.083,
|
160 |
+
"eval_steps_per_second": 2.276,
|
161 |
+
"eval_wer": 0.6721906565656566,
|
162 |
"step": 9720
|
163 |
},
|
164 |
{
|
165 |
"epoch": 10.0,
|
166 |
+
"grad_norm": 7.9486260414123535,
|
167 |
+
"learning_rate": 0.0003331172839506173,
|
168 |
+
"loss": 0.3156,
|
169 |
"step": 10800
|
170 |
},
|
171 |
{
|
172 |
"epoch": 10.0,
|
173 |
+
"eval_cer": 0.35758039816232773,
|
174 |
+
"eval_loss": 1.0661259889602661,
|
175 |
+
"eval_runtime": 48.5028,
|
176 |
+
"eval_samples_per_second": 18.349,
|
177 |
+
"eval_steps_per_second": 2.309,
|
178 |
+
"eval_wer": 0.7528409090909091,
|
179 |
"step": 10800
|
180 |
},
|
181 |
{
|
182 |
"epoch": 11.0,
|
183 |
+
"grad_norm": 8.1552095413208,
|
184 |
+
"learning_rate": 0.0003664506172839506,
|
185 |
+
"loss": 0.3273,
|
186 |
"step": 11880
|
187 |
},
|
188 |
{
|
189 |
"epoch": 11.0,
|
190 |
+
"eval_cer": 0.2929654695450279,
|
191 |
+
"eval_loss": 1.0082694292068481,
|
192 |
+
"eval_runtime": 48.9797,
|
193 |
+
"eval_samples_per_second": 18.171,
|
194 |
+
"eval_steps_per_second": 2.287,
|
195 |
+
"eval_wer": 0.7840909090909091,
|
196 |
"step": 11880
|
197 |
},
|
198 |
{
|
199 |
"epoch": 12.0,
|
200 |
+
"grad_norm": 8.20614242553711,
|
201 |
+
"learning_rate": 0.00039978395061728396,
|
202 |
+
"loss": 0.3216,
|
203 |
"step": 12960
|
204 |
},
|
205 |
{
|
206 |
"epoch": 12.0,
|
207 |
+
"eval_cer": 0.3153682754532431,
|
208 |
+
"eval_loss": 1.130453109741211,
|
209 |
+
"eval_runtime": 48.376,
|
210 |
+
"eval_samples_per_second": 18.398,
|
211 |
+
"eval_steps_per_second": 2.315,
|
212 |
+
"eval_wer": 0.728219696969697,
|
213 |
"step": 12960
|
214 |
},
|
215 |
{
|
216 |
"epoch": 13.0,
|
217 |
+
"grad_norm": 14.636846542358398,
|
218 |
+
"learning_rate": 0.00043311728395061726,
|
219 |
+
"loss": 0.3498,
|
220 |
"step": 14040
|
221 |
},
|
222 |
{
|
223 |
"epoch": 13.0,
|
224 |
+
"eval_cer": 0.3106258953712394,
|
225 |
+
"eval_loss": 1.0758916139602661,
|
226 |
+
"eval_runtime": 48.0575,
|
227 |
+
"eval_samples_per_second": 18.519,
|
228 |
+
"eval_steps_per_second": 2.331,
|
229 |
+
"eval_wer": 0.7312184343434344,
|
230 |
"step": 14040
|
231 |
},
|
232 |
{
|
233 |
"epoch": 14.0,
|
234 |
+
"grad_norm": 4.806951999664307,
|
235 |
+
"learning_rate": 0.0004664506172839506,
|
236 |
+
"loss": 0.3553,
|
237 |
"step": 15120
|
238 |
},
|
239 |
{
|
240 |
"epoch": 14.0,
|
241 |
+
"eval_cer": 0.28031912265968484,
|
242 |
+
"eval_loss": 0.8731944561004639,
|
243 |
+
"eval_runtime": 47.2505,
|
244 |
+
"eval_samples_per_second": 18.836,
|
245 |
+
"eval_steps_per_second": 2.37,
|
246 |
+
"eval_wer": 0.6756628787878788,
|
247 |
"step": 15120
|
248 |
},
|
249 |
{
|
250 |
"epoch": 15.0,
|
251 |
+
"grad_norm": 0.5450202822685242,
|
252 |
+
"learning_rate": 0.0004997530864197531,
|
253 |
+
"loss": 0.3582,
|
254 |
"step": 16200
|
255 |
},
|
256 |
{
|
257 |
"epoch": 15.0,
|
258 |
+
"eval_cer": 0.31852986217457885,
|
259 |
+
"eval_loss": 1.055077075958252,
|
260 |
+
"eval_runtime": 46.8181,
|
261 |
+
"eval_samples_per_second": 19.01,
|
262 |
+
"eval_steps_per_second": 2.392,
|
263 |
+
"eval_wer": 0.7623106060606061,
|
264 |
"step": 16200
|
265 |
},
|
266 |
{
|
267 |
"epoch": 16.0,
|
268 |
+
"grad_norm": 5.1030144691467285,
|
269 |
+
"learning_rate": 0.0004889814814814815,
|
270 |
+
"loss": 0.3607,
|
271 |
"step": 17280
|
272 |
},
|
273 |
{
|
274 |
"epoch": 16.0,
|
275 |
+
"eval_cer": 0.3101071975497703,
|
276 |
+
"eval_loss": 1.0534826517105103,
|
277 |
+
"eval_runtime": 47.5102,
|
278 |
+
"eval_samples_per_second": 18.733,
|
279 |
+
"eval_steps_per_second": 2.357,
|
280 |
+
"eval_wer": 0.7482638888888888,
|
281 |
"step": 17280
|
282 |
},
|
283 |
{
|
284 |
"epoch": 17.0,
|
285 |
+
"grad_norm": 0.22218887507915497,
|
286 |
+
"learning_rate": 0.0004778703703703704,
|
287 |
+
"loss": 0.3447,
|
288 |
"step": 18360
|
289 |
},
|
290 |
{
|
291 |
"epoch": 17.0,
|
292 |
+
"eval_cer": 0.30813120584893544,
|
293 |
+
"eval_loss": 1.064017415046692,
|
294 |
+
"eval_runtime": 48.3671,
|
295 |
+
"eval_samples_per_second": 18.401,
|
296 |
+
"eval_steps_per_second": 2.316,
|
297 |
+
"eval_wer": 0.7369002525252525,
|
298 |
"step": 18360
|
299 |
},
|
300 |
{
|
301 |
"epoch": 18.0,
|
302 |
+
"grad_norm": 0.14536279439926147,
|
303 |
+
"learning_rate": 0.00046675925925925926,
|
304 |
+
"loss": 0.325,
|
305 |
"step": 19440
|
306 |
},
|
307 |
{
|
308 |
"epoch": 18.0,
|
309 |
+
"eval_cer": 0.2905448797115052,
|
310 |
+
"eval_loss": 1.0327048301696777,
|
311 |
+
"eval_runtime": 48.9592,
|
312 |
+
"eval_samples_per_second": 18.178,
|
313 |
+
"eval_steps_per_second": 2.288,
|
314 |
+
"eval_wer": 0.7534722222222222,
|
315 |
"step": 19440
|
316 |
},
|
317 |
{
|
318 |
"epoch": 19.0,
|
319 |
+
"grad_norm": 1.5726815462112427,
|
320 |
+
"learning_rate": 0.00045564814814814817,
|
321 |
+
"loss": 0.3022,
|
322 |
"step": 20520
|
323 |
},
|
324 |
{
|
325 |
"epoch": 19.0,
|
326 |
+
"eval_cer": 0.2886923874919725,
|
327 |
+
"eval_loss": 0.9869930148124695,
|
328 |
+
"eval_runtime": 49.3541,
|
329 |
+
"eval_samples_per_second": 18.033,
|
330 |
+
"eval_steps_per_second": 2.269,
|
331 |
+
"eval_wer": 0.7231691919191919,
|
332 |
"step": 20520
|
333 |
},
|
334 |
{
|
335 |
"epoch": 20.0,
|
336 |
+
"grad_norm": 0.41919103264808655,
|
337 |
+
"learning_rate": 0.00044454732510288065,
|
338 |
+
"loss": 0.2825,
|
339 |
"step": 21600
|
340 |
},
|
341 |
{
|
342 |
"epoch": 20.0,
|
343 |
+
"eval_cer": 0.28056612162228917,
|
344 |
+
"eval_loss": 0.9183225035667419,
|
345 |
+
"eval_runtime": 49.2359,
|
346 |
+
"eval_samples_per_second": 18.076,
|
347 |
+
"eval_steps_per_second": 2.275,
|
348 |
+
"eval_wer": 0.686395202020202,
|
349 |
"step": 21600
|
350 |
},
|
351 |
{
|
352 |
"epoch": 21.0,
|
353 |
+
"grad_norm": 12.236234664916992,
|
354 |
"learning_rate": 0.0004334362139917696,
|
355 |
+
"loss": 0.2706,
|
356 |
"step": 22680
|
357 |
},
|
358 |
{
|
359 |
"epoch": 21.0,
|
360 |
+
"eval_cer": 0.28604949859210593,
|
361 |
+
"eval_loss": 0.9366316795349121,
|
362 |
+
"eval_runtime": 49.1391,
|
363 |
+
"eval_samples_per_second": 18.112,
|
364 |
+
"eval_steps_per_second": 2.279,
|
365 |
+
"eval_wer": 0.6811868686868687,
|
366 |
"step": 22680
|
367 |
},
|
368 |
{
|
369 |
"epoch": 22.0,
|
370 |
+
"grad_norm": 4.797195911407471,
|
371 |
+
"learning_rate": 0.0004223353909465021,
|
372 |
+
"loss": 0.2507,
|
373 |
"step": 23760
|
374 |
},
|
375 |
{
|
376 |
"epoch": 22.0,
|
377 |
+
"eval_cer": 0.2608062046139406,
|
378 |
+
"eval_loss": 0.9585080146789551,
|
379 |
+
"eval_runtime": 48.7093,
|
380 |
+
"eval_samples_per_second": 18.272,
|
381 |
+
"eval_steps_per_second": 2.299,
|
382 |
+
"eval_wer": 0.6941287878787878,
|
383 |
"step": 23760
|
384 |
},
|
385 |
{
|
386 |
"epoch": 23.0,
|
387 |
+
"grad_norm": 4.625443935394287,
|
388 |
"learning_rate": 0.00041122427983539094,
|
389 |
+
"loss": 0.237,
|
390 |
"step": 24840
|
391 |
},
|
392 |
{
|
393 |
"epoch": 23.0,
|
394 |
+
"eval_cer": 0.28024502297090353,
|
395 |
+
"eval_loss": 1.010016918182373,
|
396 |
+
"eval_runtime": 50.1358,
|
397 |
+
"eval_samples_per_second": 17.752,
|
398 |
+
"eval_steps_per_second": 2.234,
|
399 |
+
"eval_wer": 0.6797664141414141,
|
400 |
"step": 24840
|
401 |
},
|
402 |
{
|
403 |
"epoch": 24.0,
|
404 |
+
"grad_norm": 0.49481087923049927,
|
405 |
"learning_rate": 0.00040011316872427984,
|
406 |
+
"loss": 0.2298,
|
407 |
"step": 25920
|
408 |
},
|
409 |
{
|
410 |
"epoch": 24.0,
|
411 |
+
"eval_cer": 0.24492417131848046,
|
412 |
+
"eval_loss": 0.9184597730636597,
|
413 |
+
"eval_runtime": 48.7455,
|
414 |
+
"eval_samples_per_second": 18.258,
|
415 |
+
"eval_steps_per_second": 2.298,
|
416 |
+
"eval_wer": 0.6349431818181818,
|
417 |
"step": 25920
|
418 |
},
|
419 |
{
|
420 |
"epoch": 25.0,
|
421 |
+
"grad_norm": 1.7336276769638062,
|
422 |
+
"learning_rate": 0.0003890123456790123,
|
423 |
+
"loss": 0.221,
|
424 |
"step": 27000
|
425 |
},
|
426 |
{
|
427 |
"epoch": 25.0,
|
428 |
+
"eval_cer": 0.27846663044015213,
|
429 |
+
"eval_loss": 0.9352790713310242,
|
430 |
+
"eval_runtime": 48.8906,
|
431 |
+
"eval_samples_per_second": 18.204,
|
432 |
+
"eval_steps_per_second": 2.291,
|
433 |
+
"eval_wer": 0.6579861111111112,
|
434 |
"step": 27000
|
435 |
},
|
436 |
{
|
437 |
"epoch": 26.0,
|
438 |
+
"grad_norm": 0.02212027832865715,
|
439 |
+
"learning_rate": 0.0003779012345679013,
|
440 |
+
"loss": 0.2052,
|
441 |
"step": 28080
|
442 |
},
|
443 |
{
|
444 |
"epoch": 26.0,
|
445 |
+
"eval_cer": 0.2507039470434224,
|
446 |
+
"eval_loss": 0.8651528358459473,
|
447 |
+
"eval_runtime": 49.0769,
|
448 |
+
"eval_samples_per_second": 18.135,
|
449 |
+
"eval_steps_per_second": 2.282,
|
450 |
+
"eval_wer": 0.6493055555555556,
|
451 |
"step": 28080
|
452 |
},
|
453 |
{
|
454 |
"epoch": 27.0,
|
455 |
+
"grad_norm": 2.215277910232544,
|
456 |
+
"learning_rate": 0.0003667901234567901,
|
457 |
+
"loss": 0.1928,
|
458 |
"step": 29160
|
459 |
},
|
460 |
{
|
461 |
"epoch": 27.0,
|
462 |
+
"eval_cer": 0.2630785950699007,
|
463 |
+
"eval_loss": 0.8858852386474609,
|
464 |
+
"eval_runtime": 49.657,
|
465 |
+
"eval_samples_per_second": 17.923,
|
466 |
+
"eval_steps_per_second": 2.255,
|
467 |
+
"eval_wer": 0.6775568181818182,
|
468 |
"step": 29160
|
469 |
},
|
470 |
{
|
471 |
"epoch": 28.0,
|
472 |
+
"grad_norm": 0.10988181829452515,
|
473 |
+
"learning_rate": 0.000355679012345679,
|
474 |
+
"loss": 0.1889,
|
475 |
"step": 30240
|
476 |
},
|
477 |
{
|
478 |
"epoch": 28.0,
|
479 |
+
"eval_cer": 0.2666353801314034,
|
480 |
+
"eval_loss": 0.9239539504051208,
|
481 |
+
"eval_runtime": 49.2302,
|
482 |
+
"eval_samples_per_second": 18.078,
|
483 |
+
"eval_steps_per_second": 2.275,
|
484 |
+
"eval_wer": 0.6636679292929293,
|
485 |
"step": 30240
|
486 |
},
|
487 |
{
|
488 |
"epoch": 29.0,
|
489 |
+
"grad_norm": 0.5829525589942932,
|
490 |
+
"learning_rate": 0.0003445781893004115,
|
491 |
+
"loss": 0.1771,
|
492 |
"step": 31320
|
493 |
},
|
494 |
{
|
495 |
"epoch": 29.0,
|
496 |
+
"eval_cer": 0.24934545274909845,
|
497 |
+
"eval_loss": 0.9042806625366211,
|
498 |
+
"eval_runtime": 52.6225,
|
499 |
+
"eval_samples_per_second": 16.913,
|
500 |
+
"eval_steps_per_second": 2.128,
|
501 |
+
"eval_wer": 0.6256313131313131,
|
502 |
"step": 31320
|
503 |
},
|
504 |
{
|
505 |
"epoch": 30.0,
|
506 |
+
"grad_norm": 3.2479238510131836,
|
507 |
+
"learning_rate": 0.00033346707818930046,
|
508 |
+
"loss": 0.163,
|
509 |
"step": 32400
|
510 |
},
|
511 |
{
|
512 |
"epoch": 30.0,
|
513 |
+
"eval_cer": 0.26213999901200413,
|
514 |
+
"eval_loss": 0.9130964875221252,
|
515 |
+
"eval_runtime": 50.9345,
|
516 |
+
"eval_samples_per_second": 17.473,
|
517 |
+
"eval_steps_per_second": 2.199,
|
518 |
+
"eval_wer": 0.6504103535353535,
|
519 |
"step": 32400
|
520 |
},
|
521 |
{
|
522 |
"epoch": 31.0,
|
523 |
+
"grad_norm": 2.047846555709839,
|
524 |
+
"learning_rate": 0.0003223559670781893,
|
525 |
+
"loss": 0.1603,
|
526 |
"step": 33480
|
527 |
},
|
528 |
{
|
529 |
"epoch": 31.0,
|
530 |
+
"eval_cer": 0.24055228968038334,
|
531 |
+
"eval_loss": 0.8102329969406128,
|
532 |
+
"eval_runtime": 50.6115,
|
533 |
+
"eval_samples_per_second": 17.585,
|
534 |
+
"eval_steps_per_second": 2.213,
|
535 |
+
"eval_wer": 0.6319444444444444,
|
536 |
"step": 33480
|
537 |
},
|
538 |
{
|
539 |
"epoch": 32.0,
|
540 |
+
"grad_norm": 0.3893296420574188,
|
541 |
"learning_rate": 0.0003112448559670782,
|
542 |
+
"loss": 0.1447,
|
543 |
"step": 34560
|
544 |
},
|
545 |
{
|
546 |
"epoch": 32.0,
|
547 |
+
"eval_cer": 0.2447512720446574,
|
548 |
+
"eval_loss": 0.9245155453681946,
|
549 |
+
"eval_runtime": 51.908,
|
550 |
+
"eval_samples_per_second": 17.146,
|
551 |
+
"eval_steps_per_second": 2.158,
|
552 |
+
"eval_wer": 0.6336805555555556,
|
553 |
"step": 34560
|
554 |
},
|
555 |
{
|
556 |
"epoch": 33.0,
|
557 |
+
"grad_norm": 2.6302273273468018,
|
558 |
+
"learning_rate": 0.0003001440329218107,
|
559 |
+
"loss": 0.1418,
|
560 |
"step": 35640
|
561 |
},
|
562 |
{
|
563 |
"epoch": 33.0,
|
564 |
+
"eval_cer": 0.25300103739564295,
|
565 |
+
"eval_loss": 0.9590283632278442,
|
566 |
+
"eval_runtime": 52.0031,
|
567 |
+
"eval_samples_per_second": 17.114,
|
568 |
+
"eval_steps_per_second": 2.154,
|
569 |
+
"eval_wer": 0.6235795454545454,
|
570 |
"step": 35640
|
571 |
},
|
572 |
{
|
573 |
"epoch": 34.0,
|
574 |
+
"grad_norm": 3.61879301071167,
|
575 |
+
"learning_rate": 0.0002890432098765432,
|
576 |
+
"loss": 0.1415,
|
577 |
"step": 36720
|
578 |
},
|
579 |
{
|
580 |
"epoch": 34.0,
|
581 |
+
"eval_cer": 0.2578916168552092,
|
582 |
+
"eval_loss": 0.92754727602005,
|
583 |
+
"eval_runtime": 52.0318,
|
584 |
+
"eval_samples_per_second": 17.105,
|
585 |
+
"eval_steps_per_second": 2.153,
|
586 |
+
"eval_wer": 0.634469696969697,
|
587 |
"step": 36720
|
588 |
},
|
589 |
{
|
590 |
"epoch": 35.0,
|
591 |
+
"grad_norm": 6.908621311187744,
|
592 |
+
"learning_rate": 0.00027793209876543213,
|
593 |
+
"loss": 0.1313,
|
594 |
"step": 37800
|
595 |
},
|
596 |
{
|
597 |
"epoch": 35.0,
|
598 |
+
"eval_cer": 0.24981475077804674,
|
599 |
+
"eval_loss": 0.8644362688064575,
|
600 |
+
"eval_runtime": 53.8225,
|
601 |
+
"eval_samples_per_second": 16.536,
|
602 |
+
"eval_steps_per_second": 2.081,
|
603 |
+
"eval_wer": 0.6279987373737373,
|
604 |
"step": 37800
|
605 |
},
|
606 |
{
|
607 |
"epoch": 36.0,
|
608 |
+
"grad_norm": 2.5687201023101807,
|
609 |
"learning_rate": 0.000266820987654321,
|
610 |
+
"loss": 0.1285,
|
611 |
"step": 38880
|
612 |
},
|
613 |
{
|
614 |
"epoch": 36.0,
|
615 |
+
"eval_cer": 0.26505458677073557,
|
616 |
+
"eval_loss": 0.9070570468902588,
|
617 |
+
"eval_runtime": 55.322,
|
618 |
+
"eval_samples_per_second": 16.088,
|
619 |
+
"eval_steps_per_second": 2.025,
|
620 |
+
"eval_wer": 0.625,
|
621 |
"step": 38880
|
622 |
},
|
623 |
{
|
624 |
"epoch": 37.0,
|
625 |
+
"grad_norm": 0.1792680323123932,
|
626 |
"learning_rate": 0.0002557098765432099,
|
627 |
+
"loss": 0.1204,
|
628 |
"step": 39960
|
629 |
},
|
630 |
{
|
631 |
"epoch": 37.0,
|
632 |
+
"eval_cer": 0.2386503976683298,
|
633 |
+
"eval_loss": 0.8658037185668945,
|
634 |
+
"eval_runtime": 54.276,
|
635 |
+
"eval_samples_per_second": 16.398,
|
636 |
+
"eval_steps_per_second": 2.064,
|
637 |
+
"eval_wer": 0.6092171717171717,
|
638 |
"step": 39960
|
639 |
},
|
640 |
{
|
641 |
"epoch": 38.0,
|
642 |
+
"grad_norm": 0.05945800244808197,
|
643 |
"learning_rate": 0.0002445987654320988,
|
644 |
+
"loss": 0.1116,
|
645 |
"step": 41040
|
646 |
},
|
647 |
{
|
648 |
"epoch": 38.0,
|
649 |
+
"eval_cer": 0.24588746727263747,
|
650 |
+
"eval_loss": 0.8684060573577881,
|
651 |
+
"eval_runtime": 55.9431,
|
652 |
+
"eval_samples_per_second": 15.909,
|
653 |
+
"eval_steps_per_second": 2.002,
|
654 |
+
"eval_wer": 0.6267361111111112,
|
655 |
"step": 41040
|
656 |
},
|
657 |
{
|
658 |
"epoch": 39.0,
|
659 |
+
"grad_norm": 2.164262056350708,
|
660 |
+
"learning_rate": 0.00023349794238683127,
|
661 |
+
"loss": 0.102,
|
662 |
"step": 42120
|
663 |
},
|
664 |
{
|
665 |
"epoch": 39.0,
|
666 |
+
"eval_cer": 0.24102158770933163,
|
667 |
+
"eval_loss": 0.9792320728302002,
|
668 |
+
"eval_runtime": 54.7942,
|
669 |
+
"eval_samples_per_second": 16.243,
|
670 |
+
"eval_steps_per_second": 2.044,
|
671 |
+
"eval_wer": 0.6245265151515151,
|
672 |
"step": 42120
|
673 |
},
|
674 |
{
|
675 |
"epoch": 40.0,
|
676 |
+
"grad_norm": 7.841192722320557,
|
677 |
"learning_rate": 0.00022238683127572017,
|
678 |
+
"loss": 0.0966,
|
679 |
"step": 43200
|
680 |
},
|
681 |
{
|
682 |
"epoch": 40.0,
|
683 |
+
"eval_cer": 0.2466037642641901,
|
684 |
+
"eval_loss": 0.8880752325057983,
|
685 |
+
"eval_runtime": 57.0632,
|
686 |
+
"eval_samples_per_second": 15.597,
|
687 |
+
"eval_steps_per_second": 1.963,
|
688 |
+
"eval_wer": 0.6163194444444444,
|
689 |
"step": 43200
|
690 |
},
|
691 |
{
|
692 |
"epoch": 41.0,
|
693 |
+
"grad_norm": 0.5480403304100037,
|
694 |
+
"learning_rate": 0.00021128600823045268,
|
695 |
+
"loss": 0.0934,
|
696 |
"step": 44280
|
697 |
},
|
698 |
{
|
699 |
"epoch": 41.0,
|
700 |
+
"eval_cer": 0.23398211727510745,
|
701 |
+
"eval_loss": 0.8669174909591675,
|
702 |
+
"eval_runtime": 56.5233,
|
703 |
+
"eval_samples_per_second": 15.746,
|
704 |
+
"eval_steps_per_second": 1.981,
|
705 |
+
"eval_wer": 0.5970643939393939,
|
706 |
"step": 44280
|
707 |
},
|
708 |
{
|
709 |
"epoch": 42.0,
|
710 |
+
"grad_norm": 2.996035099029541,
|
711 |
"learning_rate": 0.00020017489711934155,
|
712 |
+
"loss": 0.0847,
|
713 |
"step": 45360
|
714 |
},
|
715 |
{
|
716 |
"epoch": 42.0,
|
717 |
+
"eval_cer": 0.2370696043076619,
|
718 |
+
"eval_loss": 0.9717867970466614,
|
719 |
+
"eval_runtime": 55.4728,
|
720 |
+
"eval_samples_per_second": 16.044,
|
721 |
+
"eval_steps_per_second": 2.019,
|
722 |
+
"eval_wer": 0.6207386363636364,
|
723 |
"step": 45360
|
724 |
},
|
725 |
{
|
726 |
"epoch": 43.0,
|
727 |
+
"grad_norm": 0.41690441966056824,
|
728 |
"learning_rate": 0.00018907407407407406,
|
729 |
+
"loss": 0.0828,
|
730 |
"step": 46440
|
731 |
},
|
732 |
{
|
733 |
"epoch": 43.0,
|
734 |
+
"eval_cer": 0.2392925949711011,
|
735 |
+
"eval_loss": 0.957336962223053,
|
736 |
+
"eval_runtime": 54.9772,
|
737 |
+
"eval_samples_per_second": 16.189,
|
738 |
+
"eval_steps_per_second": 2.037,
|
739 |
+
"eval_wer": 0.6223169191919192,
|
740 |
"step": 46440
|
741 |
},
|
742 |
{
|
743 |
"epoch": 44.0,
|
744 |
+
"grad_norm": 0.07533986121416092,
|
745 |
+
"learning_rate": 0.0001779732510288066,
|
746 |
+
"loss": 0.0727,
|
747 |
"step": 47520
|
748 |
},
|
749 |
{
|
750 |
"epoch": 44.0,
|
751 |
+
"eval_cer": 0.2357605098058588,
|
752 |
+
"eval_loss": 0.9871988892555237,
|
753 |
+
"eval_runtime": 57.6886,
|
754 |
+
"eval_samples_per_second": 15.428,
|
755 |
+
"eval_steps_per_second": 1.941,
|
756 |
+
"eval_wer": 0.6096906565656566,
|
757 |
"step": 47520
|
758 |
},
|
759 |
{
|
760 |
"epoch": 45.0,
|
761 |
+
"grad_norm": 0.7598063945770264,
|
762 |
+
"learning_rate": 0.00016686213991769547,
|
763 |
+
"loss": 0.0701,
|
764 |
"step": 48600
|
765 |
},
|
766 |
{
|
767 |
"epoch": 45.0,
|
768 |
+
"eval_cer": 0.24457837277083436,
|
769 |
+
"eval_loss": 0.9421331882476807,
|
770 |
+
"eval_runtime": 55.063,
|
771 |
+
"eval_samples_per_second": 16.163,
|
772 |
+
"eval_steps_per_second": 2.034,
|
773 |
+
"eval_wer": 0.6115845959595959,
|
774 |
"step": 48600
|
775 |
},
|
776 |
{
|
777 |
"epoch": 46.0,
|
778 |
+
"grad_norm": 0.43303415179252625,
|
779 |
"learning_rate": 0.00015575102880658438,
|
780 |
+
"loss": 0.0648,
|
781 |
"step": 49680
|
782 |
},
|
783 |
{
|
784 |
"epoch": 46.0,
|
785 |
+
"eval_cer": 0.24672726374549228,
|
786 |
+
"eval_loss": 0.9590614438056946,
|
787 |
+
"eval_runtime": 57.1789,
|
788 |
+
"eval_samples_per_second": 15.565,
|
789 |
+
"eval_steps_per_second": 1.959,
|
790 |
+
"eval_wer": 0.6043244949494949,
|
791 |
"step": 49680
|
792 |
},
|
793 |
{
|
794 |
"epoch": 47.0,
|
795 |
+
"grad_norm": 6.171388626098633,
|
796 |
"learning_rate": 0.00014463991769547325,
|
797 |
+
"loss": 0.0634,
|
798 |
"step": 50760
|
799 |
},
|
800 |
{
|
801 |
"epoch": 47.0,
|
802 |
+
"eval_cer": 0.23551351084325445,
|
803 |
+
"eval_loss": 0.9990620017051697,
|
804 |
+
"eval_runtime": 55.5622,
|
805 |
+
"eval_samples_per_second": 16.018,
|
806 |
+
"eval_steps_per_second": 2.016,
|
807 |
+
"eval_wer": 0.6109532828282829,
|
808 |
"step": 50760
|
809 |
},
|
810 |
{
|
811 |
"epoch": 48.0,
|
812 |
+
"grad_norm": 0.05001814663410187,
|
813 |
+
"learning_rate": 0.0001335390946502058,
|
814 |
+
"loss": 0.0573,
|
815 |
"step": 51840
|
816 |
},
|
817 |
{
|
818 |
"epoch": 48.0,
|
819 |
+
"eval_cer": 0.23452551499283703,
|
820 |
+
"eval_loss": 0.9873119592666626,
|
821 |
+
"eval_runtime": 55.0833,
|
822 |
+
"eval_samples_per_second": 16.157,
|
823 |
+
"eval_steps_per_second": 2.033,
|
824 |
+
"eval_wer": 0.6054292929292929,
|
825 |
"step": 51840
|
826 |
},
|
827 |
{
|
828 |
"epoch": 49.0,
|
829 |
+
"grad_norm": 3.651003360748291,
|
830 |
+
"learning_rate": 0.00012242798353909466,
|
831 |
+
"loss": 0.0527,
|
832 |
"step": 52920
|
833 |
},
|
834 |
{
|
835 |
"epoch": 49.0,
|
836 |
+
"eval_cer": 0.23247542360322088,
|
837 |
+
"eval_loss": 0.9885514974594116,
|
838 |
+
"eval_runtime": 52.5162,
|
839 |
+
"eval_samples_per_second": 16.947,
|
840 |
+
"eval_steps_per_second": 2.133,
|
841 |
+
"eval_wer": 0.5935921717171717,
|
842 |
"step": 52920
|
843 |
},
|
844 |
{
|
845 |
"epoch": 50.0,
|
846 |
+
"grad_norm": 3.5055177211761475,
|
847 |
"learning_rate": 0.00011131687242798354,
|
848 |
+
"loss": 0.0506,
|
849 |
"step": 54000
|
850 |
},
|
851 |
{
|
852 |
"epoch": 50.0,
|
853 |
+
"eval_cer": 0.22867163957911377,
|
854 |
+
"eval_loss": 1.0199133157730103,
|
855 |
+
"eval_runtime": 51.406,
|
856 |
+
"eval_samples_per_second": 17.313,
|
857 |
+
"eval_steps_per_second": 2.179,
|
858 |
+
"eval_wer": 0.5940656565656566,
|
859 |
"step": 54000
|
860 |
},
|
861 |
{
|
862 |
"epoch": 51.0,
|
863 |
+
"grad_norm": 0.08695941418409348,
|
864 |
+
"learning_rate": 0.00010020576131687243,
|
865 |
+
"loss": 0.0486,
|
866 |
"step": 55080
|
867 |
},
|
868 |
{
|
869 |
"epoch": 51.0,
|
870 |
+
"eval_cer": 0.22634984933063282,
|
871 |
+
"eval_loss": 1.0691256523132324,
|
872 |
+
"eval_runtime": 54.2523,
|
873 |
+
"eval_samples_per_second": 16.405,
|
874 |
+
"eval_steps_per_second": 2.064,
|
875 |
+
"eval_wer": 0.5880681818181818,
|
876 |
"step": 55080
|
877 |
},
|
878 |
{
|
879 |
"epoch": 52.0,
|
880 |
+
"grad_norm": 0.4256766438484192,
|
881 |
+
"learning_rate": 8.909465020576133e-05,
|
882 |
+
"loss": 0.0447,
|
883 |
"step": 56160
|
884 |
},
|
885 |
{
|
886 |
"epoch": 52.0,
|
887 |
+
"eval_cer": 0.22963493553327077,
|
888 |
+
"eval_loss": 1.0140999555587769,
|
889 |
+
"eval_runtime": 58.925,
|
890 |
+
"eval_samples_per_second": 15.104,
|
891 |
+
"eval_steps_per_second": 1.901,
|
892 |
+
"eval_wer": 0.5893308080808081,
|
893 |
"step": 56160
|
894 |
},
|
895 |
{
|
896 |
"epoch": 53.0,
|
897 |
+
"grad_norm": 3.884925365447998,
|
898 |
"learning_rate": 7.799382716049382e-05,
|
899 |
+
"loss": 0.0419,
|
900 |
"step": 57240
|
901 |
},
|
902 |
{
|
903 |
"epoch": 53.0,
|
904 |
+
"eval_cer": 0.2279306426913007,
|
905 |
+
"eval_loss": 1.0658098459243774,
|
906 |
+
"eval_runtime": 50.8901,
|
907 |
+
"eval_samples_per_second": 17.489,
|
908 |
+
"eval_steps_per_second": 2.201,
|
909 |
+
"eval_wer": 0.5872790404040404,
|
910 |
"step": 57240
|
911 |
},
|
912 |
{
|
913 |
"epoch": 54.0,
|
914 |
+
"grad_norm": 0.5678676962852478,
|
915 |
+
"learning_rate": 6.690329218106995e-05,
|
916 |
+
"loss": 0.0376,
|
917 |
"step": 58320
|
918 |
},
|
919 |
{
|
920 |
"epoch": 54.0,
|
921 |
+
"eval_cer": 0.2253618534802154,
|
922 |
+
"eval_loss": 1.144079327583313,
|
923 |
+
"eval_runtime": 52.3564,
|
924 |
+
"eval_samples_per_second": 16.999,
|
925 |
+
"eval_steps_per_second": 2.139,
|
926 |
+
"eval_wer": 0.5888573232323232,
|
927 |
"step": 58320
|
928 |
},
|
929 |
{
|
930 |
"epoch": 55.0,
|
931 |
+
"grad_norm": 1.0211379528045654,
|
932 |
+
"learning_rate": 5.579218106995885e-05,
|
933 |
+
"loss": 0.0355,
|
934 |
"step": 59400
|
935 |
},
|
936 |
{
|
937 |
"epoch": 55.0,
|
938 |
+
"eval_cer": 0.22486785555500666,
|
939 |
+
"eval_loss": 1.146174430847168,
|
940 |
+
"eval_runtime": 50.8316,
|
941 |
+
"eval_samples_per_second": 17.509,
|
942 |
+
"eval_steps_per_second": 2.203,
|
943 |
+
"eval_wer": 0.5880681818181818,
|
944 |
"step": 59400
|
945 |
},
|
946 |
{
|
947 |
"epoch": 56.0,
|
948 |
+
"grad_norm": 0.02778603509068489,
|
949 |
+
"learning_rate": 4.468106995884774e-05,
|
950 |
+
"loss": 0.0335,
|
951 |
"step": 60480
|
952 |
},
|
953 |
{
|
954 |
"epoch": 56.0,
|
955 |
+
"eval_cer": 0.22442325742231883,
|
956 |
+
"eval_loss": 1.1712491512298584,
|
957 |
+
"eval_runtime": 51.7561,
|
958 |
+
"eval_samples_per_second": 17.196,
|
959 |
+
"eval_steps_per_second": 2.164,
|
960 |
+
"eval_wer": 0.5860164141414141,
|
961 |
"step": 60480
|
962 |
},
|
963 |
{
|
964 |
"epoch": 57.0,
|
965 |
+
"grad_norm": 0.13397055864334106,
|
966 |
+
"learning_rate": 3.3569958847736626e-05,
|
967 |
+
"loss": 0.0296,
|
968 |
"step": 61560
|
969 |
},
|
970 |
{
|
971 |
"epoch": 57.0,
|
972 |
+
"eval_cer": 0.22180506841871264,
|
973 |
+
"eval_loss": 1.162169337272644,
|
974 |
+
"eval_runtime": 51.0452,
|
975 |
+
"eval_samples_per_second": 17.436,
|
976 |
+
"eval_steps_per_second": 2.194,
|
977 |
+
"eval_wer": 0.5785984848484849,
|
978 |
"step": 61560
|
979 |
},
|
980 |
{
|
981 |
"epoch": 58.0,
|
982 |
+
"grad_norm": 0.001944132731296122,
|
983 |
+
"learning_rate": 2.246913580246914e-05,
|
984 |
+
"loss": 0.0301,
|
985 |
"step": 62640
|
986 |
},
|
987 |
{
|
988 |
"epoch": 58.0,
|
989 |
+
"eval_cer": 0.22350936126068272,
|
990 |
+
"eval_loss": 1.170377492904663,
|
991 |
+
"eval_runtime": 50.364,
|
992 |
+
"eval_samples_per_second": 17.671,
|
993 |
+
"eval_steps_per_second": 2.224,
|
994 |
+
"eval_wer": 0.5839646464646465,
|
995 |
"step": 62640
|
996 |
},
|
997 |
{
|
998 |
"epoch": 59.0,
|
999 |
+
"grad_norm": 0.18270032107830048,
|
1000 |
+
"learning_rate": 1.1358024691358025e-05,
|
1001 |
+
"loss": 0.0283,
|
1002 |
"step": 63720
|
1003 |
},
|
1004 |
{
|
1005 |
"epoch": 59.0,
|
1006 |
+
"eval_cer": 0.22133577038976437,
|
1007 |
+
"eval_loss": 1.1973356008529663,
|
1008 |
+
"eval_runtime": 50.9914,
|
1009 |
+
"eval_samples_per_second": 17.454,
|
1010 |
+
"eval_steps_per_second": 2.196,
|
1011 |
+
"eval_wer": 0.5804924242424242,
|
1012 |
"step": 63720
|
1013 |
},
|
1014 |
{
|
1015 |
"epoch": 60.0,
|
1016 |
+
"grad_norm": 0.00017149873019661754,
|
1017 |
+
"learning_rate": 2.469135802469136e-07,
|
1018 |
+
"loss": 0.0245,
|
1019 |
"step": 64800
|
1020 |
},
|
1021 |
{
|
1022 |
"epoch": 60.0,
|
1023 |
+
"eval_cer": 0.2198290767178778,
|
1024 |
+
"eval_loss": 1.1907662153244019,
|
1025 |
+
"eval_runtime": 51.7658,
|
1026 |
+
"eval_samples_per_second": 17.193,
|
1027 |
+
"eval_steps_per_second": 2.164,
|
1028 |
+
"eval_wer": 0.5762310606060606,
|
1029 |
"step": 64800
|
1030 |
},
|
1031 |
{
|
1032 |
"epoch": 60.0,
|
1033 |
"step": 64800,
|
1034 |
"total_flos": 1.8440987587856836e+20,
|
1035 |
+
"train_loss": 0.1667554270485301,
|
1036 |
+
"train_runtime": 81955.137,
|
1037 |
+
"train_samples_per_second": 12.641,
|
1038 |
+
"train_steps_per_second": 0.791
|
1039 |
}
|
1040 |
],
|
1041 |
"logging_steps": 500,
|