Model update - additional epochs
Browse files- all_results.json +3 -3
- config.json +1 -1
- pytorch_model.bin +1 -1
- runs/Dec14_23-10-35_129-213-21-70/1671070238.270775/events.out.tfevents.1671070238.129-213-21-70.2367156.1 +3 -0
- runs/Dec14_23-10-35_129-213-21-70/events.out.tfevents.1671070238.129-213-21-70.2367156.0 +3 -0
- tokenizer_config.json +1 -1
- train_results.json +3 -3
- trainer_state.json +313 -313
- training_args.bin +1 -1
all_results.json
CHANGED
@@ -1,7 +1,7 @@
|
|
1 |
{
|
2 |
"epoch": 2.09,
|
3 |
-
"train_loss": 0.
|
4 |
-
"train_runtime":
|
5 |
-
"train_samples_per_second": 5.
|
6 |
"train_steps_per_second": 0.177
|
7 |
}
|
|
|
1 |
{
|
2 |
"epoch": 2.09,
|
3 |
+
"train_loss": 0.06287762756943703,
|
4 |
+
"train_runtime": 28287.0338,
|
5 |
+
"train_samples_per_second": 5.656,
|
6 |
"train_steps_per_second": 0.177
|
7 |
}
|
config.json
CHANGED
@@ -1,5 +1,5 @@
|
|
1 |
{
|
2 |
-
"_name_or_path": "
|
3 |
"activation_dropout": 0.0,
|
4 |
"activation_function": "gelu",
|
5 |
"architectures": [
|
|
|
1 |
{
|
2 |
+
"_name_or_path": "tensorops/whisper-medium-th-combined-v2",
|
3 |
"activation_dropout": 0.0,
|
4 |
"activation_function": "gelu",
|
5 |
"architectures": [
|
pytorch_model.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 3055754841
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b516f128a5e77278743841ca6f566321aac6d74d6ff8a4c0adfeb46f0e681e91
|
3 |
size 3055754841
|
runs/Dec14_23-10-35_129-213-21-70/1671070238.270775/events.out.tfevents.1671070238.129-213-21-70.2367156.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f050f65483706684a803b0c6a6a0999ed2edc25ece95e4b54bddd5abf9e8fbbf
|
3 |
+
size 5875
|
runs/Dec14_23-10-35_129-213-21-70/events.out.tfevents.1671070238.129-213-21-70.2367156.0
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1b07683c349493c719482127c56727f68b2cb8fc0eb9f028d352c8e887522379
|
3 |
+
size 36351
|
tokenizer_config.json
CHANGED
@@ -19,7 +19,7 @@
|
|
19 |
},
|
20 |
"errors": "replace",
|
21 |
"model_max_length": 1024,
|
22 |
-
"name_or_path": "
|
23 |
"pad_token": null,
|
24 |
"processor_class": "WhisperProcessor",
|
25 |
"return_attention_mask": false,
|
|
|
19 |
},
|
20 |
"errors": "replace",
|
21 |
"model_max_length": 1024,
|
22 |
+
"name_or_path": "tensorops/whisper-medium-th-combined-v2",
|
23 |
"pad_token": null,
|
24 |
"processor_class": "WhisperProcessor",
|
25 |
"return_attention_mask": false,
|
train_results.json
CHANGED
@@ -1,7 +1,7 @@
|
|
1 |
{
|
2 |
"epoch": 2.09,
|
3 |
-
"train_loss": 0.
|
4 |
-
"train_runtime":
|
5 |
-
"train_samples_per_second": 5.
|
6 |
"train_steps_per_second": 0.177
|
7 |
}
|
|
|
1 |
{
|
2 |
"epoch": 2.09,
|
3 |
+
"train_loss": 0.06287762756943703,
|
4 |
+
"train_runtime": 28287.0338,
|
5 |
+
"train_samples_per_second": 5.656,
|
6 |
"train_steps_per_second": 0.177
|
7 |
}
|
trainer_state.json
CHANGED
@@ -1,5 +1,5 @@
|
|
1 |
{
|
2 |
-
"best_metric": 13.
|
3 |
"best_model_checkpoint": "./checkpoint-5000",
|
4 |
"epoch": 2.0911752404851525,
|
5 |
"global_step": 5000,
|
@@ -9,1220 +9,1220 @@
|
|
9 |
"log_history": [
|
10 |
{
|
11 |
"epoch": 0.01,
|
12 |
-
"learning_rate":
|
13 |
-
"loss":
|
14 |
"step": 25
|
15 |
},
|
16 |
{
|
17 |
"epoch": 0.02,
|
18 |
-
"learning_rate":
|
19 |
-
"loss": 0.
|
20 |
"step": 50
|
21 |
},
|
22 |
{
|
23 |
"epoch": 0.03,
|
24 |
-
"learning_rate": 1.
|
25 |
-
"loss": 0.
|
26 |
"step": 75
|
27 |
},
|
28 |
{
|
29 |
"epoch": 0.04,
|
30 |
-
"learning_rate":
|
31 |
-
"loss": 0.
|
32 |
"step": 100
|
33 |
},
|
34 |
{
|
35 |
"epoch": 0.05,
|
36 |
-
"learning_rate": 2.
|
37 |
-
"loss": 0.
|
38 |
"step": 125
|
39 |
},
|
40 |
{
|
41 |
"epoch": 0.06,
|
42 |
-
"learning_rate":
|
43 |
-
"loss": 0.
|
44 |
"step": 150
|
45 |
},
|
46 |
{
|
47 |
"epoch": 0.07,
|
48 |
-
"learning_rate": 3.
|
49 |
-
"loss": 0.
|
50 |
"step": 175
|
51 |
},
|
52 |
{
|
53 |
"epoch": 0.08,
|
54 |
-
"learning_rate": 3.
|
55 |
-
"loss": 0.
|
56 |
"step": 200
|
57 |
},
|
58 |
{
|
59 |
"epoch": 0.09,
|
60 |
-
"learning_rate": 4.
|
61 |
-
"loss": 0.
|
62 |
"step": 225
|
63 |
},
|
64 |
{
|
65 |
"epoch": 0.1,
|
66 |
-
"learning_rate": 4.
|
67 |
-
"loss": 0.
|
68 |
"step": 250
|
69 |
},
|
70 |
{
|
71 |
"epoch": 0.12,
|
72 |
-
"learning_rate": 5.
|
73 |
-
"loss": 0.
|
74 |
"step": 275
|
75 |
},
|
76 |
{
|
77 |
"epoch": 0.13,
|
78 |
-
"learning_rate": 5.
|
79 |
-
"loss": 0.
|
80 |
"step": 300
|
81 |
},
|
82 |
{
|
83 |
"epoch": 0.14,
|
84 |
-
"learning_rate": 6.
|
85 |
-
"loss": 0.
|
86 |
"step": 325
|
87 |
},
|
88 |
{
|
89 |
"epoch": 0.15,
|
90 |
-
"learning_rate": 6.
|
91 |
-
"loss": 0.
|
92 |
"step": 350
|
93 |
},
|
94 |
{
|
95 |
"epoch": 0.16,
|
96 |
-
"learning_rate": 7.
|
97 |
-
"loss": 0.
|
98 |
"step": 375
|
99 |
},
|
100 |
{
|
101 |
"epoch": 0.17,
|
102 |
-
"learning_rate": 7.
|
103 |
-
"loss": 0.
|
104 |
"step": 400
|
105 |
},
|
106 |
{
|
107 |
"epoch": 0.18,
|
108 |
-
"learning_rate": 8.
|
109 |
-
"loss": 0.
|
110 |
"step": 425
|
111 |
},
|
112 |
{
|
113 |
"epoch": 0.19,
|
114 |
-
"learning_rate": 8.
|
115 |
-
"loss": 0.
|
116 |
"step": 450
|
117 |
},
|
118 |
{
|
119 |
"epoch": 0.2,
|
120 |
-
"learning_rate": 9.
|
121 |
-
"loss": 0.
|
122 |
"step": 475
|
123 |
},
|
124 |
{
|
125 |
"epoch": 0.21,
|
126 |
-
"learning_rate": 9.
|
127 |
-
"loss": 0.
|
128 |
"step": 500
|
129 |
},
|
130 |
{
|
131 |
"epoch": 0.22,
|
132 |
-
"learning_rate": 9.
|
133 |
-
"loss": 0.
|
134 |
"step": 525
|
135 |
},
|
136 |
{
|
137 |
"epoch": 0.23,
|
138 |
-
"learning_rate": 9.
|
139 |
-
"loss": 0.
|
140 |
"step": 550
|
141 |
},
|
142 |
{
|
143 |
"epoch": 0.24,
|
144 |
-
"learning_rate": 9.
|
145 |
-
"loss": 0.
|
146 |
"step": 575
|
147 |
},
|
148 |
{
|
149 |
"epoch": 0.25,
|
150 |
-
"learning_rate": 9.
|
151 |
-
"loss": 0.
|
152 |
"step": 600
|
153 |
},
|
154 |
{
|
155 |
"epoch": 0.26,
|
156 |
-
"learning_rate": 9.
|
157 |
-
"loss": 0.
|
158 |
"step": 625
|
159 |
},
|
160 |
{
|
161 |
"epoch": 0.27,
|
162 |
-
"learning_rate": 9.
|
163 |
-
"loss": 0.
|
164 |
"step": 650
|
165 |
},
|
166 |
{
|
167 |
"epoch": 0.28,
|
168 |
-
"learning_rate": 9.
|
169 |
-
"loss": 0.
|
170 |
"step": 675
|
171 |
},
|
172 |
{
|
173 |
"epoch": 0.29,
|
174 |
-
"learning_rate": 9.
|
175 |
-
"loss": 0.
|
176 |
"step": 700
|
177 |
},
|
178 |
{
|
179 |
"epoch": 0.3,
|
180 |
-
"learning_rate": 9.
|
181 |
-
"loss": 0.
|
182 |
"step": 725
|
183 |
},
|
184 |
{
|
185 |
"epoch": 0.31,
|
186 |
-
"learning_rate": 9.
|
187 |
-
"loss": 0.
|
188 |
"step": 750
|
189 |
},
|
190 |
{
|
191 |
"epoch": 0.32,
|
192 |
-
"learning_rate": 9.
|
193 |
-
"loss": 0.
|
194 |
"step": 775
|
195 |
},
|
196 |
{
|
197 |
"epoch": 0.33,
|
198 |
-
"learning_rate": 9.
|
199 |
-
"loss": 0.
|
200 |
"step": 800
|
201 |
},
|
202 |
{
|
203 |
"epoch": 0.35,
|
204 |
-
"learning_rate": 9.
|
205 |
-
"loss": 0.
|
206 |
"step": 825
|
207 |
},
|
208 |
{
|
209 |
"epoch": 0.36,
|
210 |
-
"learning_rate": 9.
|
211 |
-
"loss": 0.
|
212 |
"step": 850
|
213 |
},
|
214 |
{
|
215 |
"epoch": 0.37,
|
216 |
-
"learning_rate": 9.
|
217 |
-
"loss": 0.
|
218 |
"step": 875
|
219 |
},
|
220 |
{
|
221 |
"epoch": 0.38,
|
222 |
-
"learning_rate": 9.
|
223 |
-
"loss": 0.
|
224 |
"step": 900
|
225 |
},
|
226 |
{
|
227 |
"epoch": 0.39,
|
228 |
-
"learning_rate": 9.
|
229 |
-
"loss": 0.
|
230 |
"step": 925
|
231 |
},
|
232 |
{
|
233 |
"epoch": 0.4,
|
234 |
-
"learning_rate": 9.
|
235 |
-
"loss": 0.
|
236 |
"step": 950
|
237 |
},
|
238 |
{
|
239 |
"epoch": 0.41,
|
240 |
-
"learning_rate": 8.
|
241 |
-
"loss": 0.
|
242 |
"step": 975
|
243 |
},
|
244 |
{
|
245 |
"epoch": 0.42,
|
246 |
-
"learning_rate": 8.
|
247 |
-
"loss": 0.
|
248 |
"step": 1000
|
249 |
},
|
250 |
{
|
251 |
"epoch": 0.43,
|
252 |
-
"learning_rate": 8.
|
253 |
-
"loss": 0.
|
254 |
"step": 1025
|
255 |
},
|
256 |
{
|
257 |
"epoch": 0.44,
|
258 |
-
"learning_rate": 8.
|
259 |
-
"loss": 0.
|
260 |
"step": 1050
|
261 |
},
|
262 |
{
|
263 |
"epoch": 0.45,
|
264 |
-
"learning_rate": 8.
|
265 |
-
"loss": 0.
|
266 |
"step": 1075
|
267 |
},
|
268 |
{
|
269 |
"epoch": 0.46,
|
270 |
-
"learning_rate": 8.
|
271 |
-
"loss": 0.
|
272 |
"step": 1100
|
273 |
},
|
274 |
{
|
275 |
"epoch": 0.47,
|
276 |
-
"learning_rate": 8.
|
277 |
-
"loss": 0.
|
278 |
"step": 1125
|
279 |
},
|
280 |
{
|
281 |
"epoch": 0.48,
|
282 |
-
"learning_rate": 8.
|
283 |
-
"loss": 0.
|
284 |
"step": 1150
|
285 |
},
|
286 |
{
|
287 |
"epoch": 0.49,
|
288 |
-
"learning_rate": 8.
|
289 |
-
"loss": 0.
|
290 |
"step": 1175
|
291 |
},
|
292 |
{
|
293 |
"epoch": 0.5,
|
294 |
-
"learning_rate": 8.
|
295 |
-
"loss": 0.
|
296 |
"step": 1200
|
297 |
},
|
298 |
{
|
299 |
"epoch": 0.51,
|
300 |
-
"learning_rate": 8.
|
301 |
-
"loss": 0.
|
302 |
"step": 1225
|
303 |
},
|
304 |
{
|
305 |
"epoch": 0.52,
|
306 |
-
"learning_rate": 8.
|
307 |
-
"loss": 0.
|
308 |
"step": 1250
|
309 |
},
|
310 |
{
|
311 |
"epoch": 0.53,
|
312 |
-
"learning_rate": 8.
|
313 |
-
"loss": 0.
|
314 |
"step": 1275
|
315 |
},
|
316 |
{
|
317 |
"epoch": 0.54,
|
318 |
-
"learning_rate": 8.
|
319 |
-
"loss": 0.
|
320 |
"step": 1300
|
321 |
},
|
322 |
{
|
323 |
"epoch": 0.55,
|
324 |
-
"learning_rate": 8.
|
325 |
-
"loss": 0.
|
326 |
"step": 1325
|
327 |
},
|
328 |
{
|
329 |
"epoch": 0.56,
|
330 |
-
"learning_rate": 8.
|
331 |
-
"loss": 0.
|
332 |
"step": 1350
|
333 |
},
|
334 |
{
|
335 |
"epoch": 0.58,
|
336 |
-
"learning_rate": 8.
|
337 |
-
"loss": 0.
|
338 |
"step": 1375
|
339 |
},
|
340 |
{
|
341 |
"epoch": 0.59,
|
342 |
-
"learning_rate": 8.
|
343 |
-
"loss": 0.
|
344 |
"step": 1400
|
345 |
},
|
346 |
{
|
347 |
"epoch": 0.6,
|
348 |
-
"learning_rate": 7.
|
349 |
-
"loss": 0.
|
350 |
"step": 1425
|
351 |
},
|
352 |
{
|
353 |
"epoch": 0.61,
|
354 |
-
"learning_rate": 7.
|
355 |
-
"loss": 0.
|
356 |
"step": 1450
|
357 |
},
|
358 |
{
|
359 |
"epoch": 0.62,
|
360 |
-
"learning_rate": 7.
|
361 |
-
"loss": 0.
|
362 |
"step": 1475
|
363 |
},
|
364 |
{
|
365 |
"epoch": 0.63,
|
366 |
-
"learning_rate": 7.
|
367 |
-
"loss": 0.
|
368 |
"step": 1500
|
369 |
},
|
370 |
{
|
371 |
"epoch": 0.64,
|
372 |
-
"learning_rate": 7.
|
373 |
-
"loss": 0.
|
374 |
"step": 1525
|
375 |
},
|
376 |
{
|
377 |
"epoch": 0.65,
|
378 |
-
"learning_rate": 7.
|
379 |
-
"loss": 0.
|
380 |
"step": 1550
|
381 |
},
|
382 |
{
|
383 |
"epoch": 0.66,
|
384 |
-
"learning_rate": 7.
|
385 |
-
"loss": 0.
|
386 |
"step": 1575
|
387 |
},
|
388 |
{
|
389 |
"epoch": 0.67,
|
390 |
-
"learning_rate": 7.
|
391 |
-
"loss": 0.
|
392 |
"step": 1600
|
393 |
},
|
394 |
{
|
395 |
"epoch": 0.68,
|
396 |
-
"learning_rate": 7.
|
397 |
-
"loss": 0.
|
398 |
"step": 1625
|
399 |
},
|
400 |
{
|
401 |
"epoch": 0.69,
|
402 |
-
"learning_rate": 7.
|
403 |
-
"loss": 0.
|
404 |
"step": 1650
|
405 |
},
|
406 |
{
|
407 |
"epoch": 0.7,
|
408 |
-
"learning_rate": 7.
|
409 |
-
"loss": 0.
|
410 |
"step": 1675
|
411 |
},
|
412 |
{
|
413 |
"epoch": 0.71,
|
414 |
-
"learning_rate": 7.
|
415 |
-
"loss": 0.
|
416 |
"step": 1700
|
417 |
},
|
418 |
{
|
419 |
"epoch": 0.72,
|
420 |
-
"learning_rate": 7.
|
421 |
-
"loss": 0.
|
422 |
"step": 1725
|
423 |
},
|
424 |
{
|
425 |
"epoch": 0.73,
|
426 |
-
"learning_rate": 7.
|
427 |
-
"loss": 0.
|
428 |
"step": 1750
|
429 |
},
|
430 |
{
|
431 |
"epoch": 0.74,
|
432 |
-
"learning_rate": 7.
|
433 |
-
"loss": 0.
|
434 |
"step": 1775
|
435 |
},
|
436 |
{
|
437 |
"epoch": 0.75,
|
438 |
-
"learning_rate": 7.
|
439 |
-
"loss": 0.
|
440 |
"step": 1800
|
441 |
},
|
442 |
{
|
443 |
"epoch": 0.76,
|
444 |
-
"learning_rate": 7.
|
445 |
-
"loss": 0.
|
446 |
"step": 1825
|
447 |
},
|
448 |
{
|
449 |
"epoch": 0.77,
|
450 |
-
"learning_rate": 7.
|
451 |
-
"loss": 0.
|
452 |
"step": 1850
|
453 |
},
|
454 |
{
|
455 |
"epoch": 0.78,
|
456 |
-
"learning_rate": 6.
|
457 |
-
"loss": 0.
|
458 |
"step": 1875
|
459 |
},
|
460 |
{
|
461 |
"epoch": 0.79,
|
462 |
-
"learning_rate": 6.
|
463 |
-
"loss": 0.
|
464 |
"step": 1900
|
465 |
},
|
466 |
{
|
467 |
"epoch": 0.81,
|
468 |
-
"learning_rate": 6.
|
469 |
-
"loss": 0.
|
470 |
"step": 1925
|
471 |
},
|
472 |
{
|
473 |
"epoch": 0.82,
|
474 |
-
"learning_rate": 6.
|
475 |
-
"loss": 0.
|
476 |
"step": 1950
|
477 |
},
|
478 |
{
|
479 |
"epoch": 0.83,
|
480 |
-
"learning_rate": 6.
|
481 |
-
"loss": 0.
|
482 |
"step": 1975
|
483 |
},
|
484 |
{
|
485 |
"epoch": 0.84,
|
486 |
-
"learning_rate": 6.
|
487 |
-
"loss": 0.
|
488 |
"step": 2000
|
489 |
},
|
490 |
{
|
491 |
"epoch": 0.85,
|
492 |
-
"learning_rate": 6.
|
493 |
-
"loss": 0.
|
494 |
"step": 2025
|
495 |
},
|
496 |
{
|
497 |
"epoch": 0.86,
|
498 |
-
"learning_rate": 6.
|
499 |
-
"loss": 0.
|
500 |
"step": 2050
|
501 |
},
|
502 |
{
|
503 |
"epoch": 0.87,
|
504 |
-
"learning_rate": 6.
|
505 |
-
"loss": 0.
|
506 |
"step": 2075
|
507 |
},
|
508 |
{
|
509 |
"epoch": 0.88,
|
510 |
-
"learning_rate": 6.
|
511 |
-
"loss": 0.
|
512 |
"step": 2100
|
513 |
},
|
514 |
{
|
515 |
"epoch": 0.89,
|
516 |
-
"learning_rate": 6.
|
517 |
-
"loss": 0.
|
518 |
"step": 2125
|
519 |
},
|
520 |
{
|
521 |
"epoch": 0.9,
|
522 |
-
"learning_rate": 6.
|
523 |
-
"loss": 0.
|
524 |
"step": 2150
|
525 |
},
|
526 |
{
|
527 |
"epoch": 0.91,
|
528 |
-
"learning_rate": 6.
|
529 |
-
"loss": 0.
|
530 |
"step": 2175
|
531 |
},
|
532 |
{
|
533 |
"epoch": 0.92,
|
534 |
-
"learning_rate": 6.
|
535 |
-
"loss": 0.
|
536 |
"step": 2200
|
537 |
},
|
538 |
{
|
539 |
"epoch": 0.93,
|
540 |
-
"learning_rate": 6.
|
541 |
-
"loss": 0.
|
542 |
"step": 2225
|
543 |
},
|
544 |
{
|
545 |
"epoch": 0.94,
|
546 |
"learning_rate": 6.1155555555555555e-06,
|
547 |
-
"loss": 0.
|
548 |
"step": 2250
|
549 |
},
|
550 |
{
|
551 |
"epoch": 0.95,
|
552 |
"learning_rate": 6.0600000000000004e-06,
|
553 |
-
"loss": 0.
|
554 |
"step": 2275
|
555 |
},
|
556 |
{
|
557 |
"epoch": 0.96,
|
558 |
"learning_rate": 6.004444444444445e-06,
|
559 |
-
"loss": 0.
|
560 |
"step": 2300
|
561 |
},
|
562 |
{
|
563 |
"epoch": 0.97,
|
564 |
"learning_rate": 5.948888888888889e-06,
|
565 |
-
"loss": 0.
|
566 |
"step": 2325
|
567 |
},
|
568 |
{
|
569 |
"epoch": 0.98,
|
570 |
"learning_rate": 5.893333333333334e-06,
|
571 |
-
"loss": 0.
|
572 |
"step": 2350
|
573 |
},
|
574 |
{
|
575 |
"epoch": 0.99,
|
576 |
"learning_rate": 5.837777777777777e-06,
|
577 |
-
"loss": 0.
|
578 |
"step": 2375
|
579 |
},
|
580 |
{
|
581 |
"epoch": 1.0,
|
582 |
"learning_rate": 5.782222222222222e-06,
|
583 |
-
"loss": 0.
|
584 |
"step": 2400
|
585 |
},
|
586 |
{
|
587 |
"epoch": 1.01,
|
588 |
"learning_rate": 5.726666666666667e-06,
|
589 |
-
"loss": 0.
|
590 |
"step": 2425
|
591 |
},
|
592 |
{
|
593 |
"epoch": 1.02,
|
594 |
"learning_rate": 5.671111111111112e-06,
|
595 |
-
"loss": 0.
|
596 |
"step": 2450
|
597 |
},
|
598 |
{
|
599 |
"epoch": 1.04,
|
600 |
"learning_rate": 5.615555555555556e-06,
|
601 |
-
"loss": 0.
|
602 |
"step": 2475
|
603 |
},
|
604 |
{
|
605 |
"epoch": 1.05,
|
606 |
"learning_rate": 5.560000000000001e-06,
|
607 |
-
"loss": 0.
|
608 |
"step": 2500
|
609 |
},
|
610 |
{
|
611 |
"epoch": 1.06,
|
612 |
"learning_rate": 5.504444444444444e-06,
|
613 |
-
"loss": 0.
|
614 |
"step": 2525
|
615 |
},
|
616 |
{
|
617 |
"epoch": 1.07,
|
618 |
"learning_rate": 5.448888888888889e-06,
|
619 |
-
"loss": 0.
|
620 |
"step": 2550
|
621 |
},
|
622 |
{
|
623 |
"epoch": 1.08,
|
624 |
"learning_rate": 5.393333333333334e-06,
|
625 |
-
"loss": 0.
|
626 |
"step": 2575
|
627 |
},
|
628 |
{
|
629 |
"epoch": 1.09,
|
630 |
"learning_rate": 5.337777777777779e-06,
|
631 |
-
"loss": 0.
|
632 |
"step": 2600
|
633 |
},
|
634 |
{
|
635 |
"epoch": 1.1,
|
636 |
"learning_rate": 5.282222222222223e-06,
|
637 |
-
"loss": 0.
|
638 |
"step": 2625
|
639 |
},
|
640 |
{
|
641 |
"epoch": 1.11,
|
642 |
"learning_rate": 5.226666666666667e-06,
|
643 |
-
"loss": 0.
|
644 |
"step": 2650
|
645 |
},
|
646 |
{
|
647 |
"epoch": 1.12,
|
648 |
"learning_rate": 5.171111111111111e-06,
|
649 |
-
"loss": 0.
|
650 |
"step": 2675
|
651 |
},
|
652 |
{
|
653 |
"epoch": 1.13,
|
654 |
"learning_rate": 5.115555555555556e-06,
|
655 |
-
"loss": 0.
|
656 |
"step": 2700
|
657 |
},
|
658 |
{
|
659 |
"epoch": 1.14,
|
660 |
"learning_rate": 5.060000000000001e-06,
|
661 |
-
"loss": 0.
|
662 |
"step": 2725
|
663 |
},
|
664 |
{
|
665 |
"epoch": 1.15,
|
666 |
"learning_rate": 5.004444444444445e-06,
|
667 |
-
"loss": 0.
|
668 |
"step": 2750
|
669 |
},
|
670 |
{
|
671 |
"epoch": 1.16,
|
672 |
"learning_rate": 4.94888888888889e-06,
|
673 |
-
"loss": 0.
|
674 |
"step": 2775
|
675 |
},
|
676 |
{
|
677 |
"epoch": 1.17,
|
678 |
"learning_rate": 4.893333333333334e-06,
|
679 |
-
"loss": 0.
|
680 |
"step": 2800
|
681 |
},
|
682 |
{
|
683 |
"epoch": 1.18,
|
684 |
"learning_rate": 4.837777777777778e-06,
|
685 |
-
"loss": 0.
|
686 |
"step": 2825
|
687 |
},
|
688 |
{
|
689 |
"epoch": 1.19,
|
690 |
"learning_rate": 4.7822222222222226e-06,
|
691 |
-
"loss": 0.
|
692 |
"step": 2850
|
693 |
},
|
694 |
{
|
695 |
"epoch": 1.2,
|
696 |
"learning_rate": 4.7266666666666674e-06,
|
697 |
-
"loss": 0.
|
698 |
"step": 2875
|
699 |
},
|
700 |
{
|
701 |
"epoch": 1.21,
|
702 |
"learning_rate": 4.6711111111111115e-06,
|
703 |
-
"loss": 0.
|
704 |
"step": 2900
|
705 |
},
|
706 |
{
|
707 |
"epoch": 1.22,
|
708 |
"learning_rate": 4.6155555555555555e-06,
|
709 |
-
"loss": 0.
|
710 |
"step": 2925
|
711 |
},
|
712 |
{
|
713 |
"epoch": 1.23,
|
714 |
"learning_rate": 4.56e-06,
|
715 |
-
"loss": 0.
|
716 |
"step": 2950
|
717 |
},
|
718 |
{
|
719 |
"epoch": 1.24,
|
720 |
"learning_rate": 4.504444444444444e-06,
|
721 |
-
"loss": 0.
|
722 |
"step": 2975
|
723 |
},
|
724 |
{
|
725 |
"epoch": 1.25,
|
726 |
"learning_rate": 4.448888888888889e-06,
|
727 |
-
"loss": 0.
|
728 |
"step": 3000
|
729 |
},
|
730 |
{
|
731 |
"epoch": 1.27,
|
732 |
"learning_rate": 4.393333333333334e-06,
|
733 |
-
"loss": 0.
|
734 |
"step": 3025
|
735 |
},
|
736 |
{
|
737 |
"epoch": 1.28,
|
738 |
"learning_rate": 4.337777777777778e-06,
|
739 |
-
"loss": 0.
|
740 |
"step": 3050
|
741 |
},
|
742 |
{
|
743 |
"epoch": 1.29,
|
744 |
"learning_rate": 4.282222222222222e-06,
|
745 |
-
"loss": 0.
|
746 |
"step": 3075
|
747 |
},
|
748 |
{
|
749 |
"epoch": 1.3,
|
750 |
"learning_rate": 4.226666666666667e-06,
|
751 |
-
"loss": 0.
|
752 |
"step": 3100
|
753 |
},
|
754 |
{
|
755 |
"epoch": 1.31,
|
756 |
"learning_rate": 4.171111111111111e-06,
|
757 |
-
"loss": 0.
|
758 |
"step": 3125
|
759 |
},
|
760 |
{
|
761 |
"epoch": 1.32,
|
762 |
"learning_rate": 4.115555555555556e-06,
|
763 |
-
"loss": 0.
|
764 |
"step": 3150
|
765 |
},
|
766 |
{
|
767 |
"epoch": 1.33,
|
768 |
"learning_rate": 4.060000000000001e-06,
|
769 |
-
"loss": 0.
|
770 |
"step": 3175
|
771 |
},
|
772 |
{
|
773 |
"epoch": 1.34,
|
774 |
"learning_rate": 4.004444444444445e-06,
|
775 |
-
"loss": 0.
|
776 |
"step": 3200
|
777 |
},
|
778 |
{
|
779 |
"epoch": 1.35,
|
780 |
"learning_rate": 3.948888888888889e-06,
|
781 |
-
"loss": 0.
|
782 |
"step": 3225
|
783 |
},
|
784 |
{
|
785 |
"epoch": 1.36,
|
786 |
"learning_rate": 3.893333333333333e-06,
|
787 |
-
"loss": 0.
|
788 |
"step": 3250
|
789 |
},
|
790 |
{
|
791 |
"epoch": 1.37,
|
792 |
"learning_rate": 3.837777777777778e-06,
|
793 |
-
"loss": 0.
|
794 |
"step": 3275
|
795 |
},
|
796 |
{
|
797 |
"epoch": 1.38,
|
798 |
"learning_rate": 3.782222222222223e-06,
|
799 |
-
"loss": 0.
|
800 |
"step": 3300
|
801 |
},
|
802 |
{
|
803 |
"epoch": 1.39,
|
804 |
"learning_rate": 3.726666666666667e-06,
|
805 |
-
"loss": 0.
|
806 |
"step": 3325
|
807 |
},
|
808 |
{
|
809 |
"epoch": 1.4,
|
810 |
"learning_rate": 3.6711111111111113e-06,
|
811 |
-
"loss": 0.
|
812 |
"step": 3350
|
813 |
},
|
814 |
{
|
815 |
"epoch": 1.41,
|
816 |
"learning_rate": 3.615555555555556e-06,
|
817 |
-
"loss": 0.
|
818 |
"step": 3375
|
819 |
},
|
820 |
{
|
821 |
"epoch": 1.42,
|
822 |
"learning_rate": 3.5600000000000002e-06,
|
823 |
-
"loss": 0.
|
824 |
"step": 3400
|
825 |
},
|
826 |
{
|
827 |
"epoch": 1.43,
|
828 |
"learning_rate": 3.5044444444444447e-06,
|
829 |
-
"loss": 0.
|
830 |
"step": 3425
|
831 |
},
|
832 |
{
|
833 |
"epoch": 1.44,
|
834 |
"learning_rate": 3.4488888888888896e-06,
|
835 |
-
"loss": 0.
|
836 |
"step": 3450
|
837 |
},
|
838 |
{
|
839 |
"epoch": 1.45,
|
840 |
"learning_rate": 3.3933333333333336e-06,
|
841 |
-
"loss": 0.
|
842 |
"step": 3475
|
843 |
},
|
844 |
{
|
845 |
"epoch": 1.46,
|
846 |
"learning_rate": 3.337777777777778e-06,
|
847 |
-
"loss": 0.
|
848 |
"step": 3500
|
849 |
},
|
850 |
{
|
851 |
"epoch": 1.47,
|
852 |
"learning_rate": 3.282222222222223e-06,
|
853 |
-
"loss": 0.
|
854 |
"step": 3525
|
855 |
},
|
856 |
{
|
857 |
"epoch": 1.48,
|
858 |
"learning_rate": 3.226666666666667e-06,
|
859 |
-
"loss": 0.
|
860 |
"step": 3550
|
861 |
},
|
862 |
{
|
863 |
"epoch": 1.5,
|
864 |
"learning_rate": 3.1711111111111114e-06,
|
865 |
-
"loss": 0.
|
866 |
"step": 3575
|
867 |
},
|
868 |
{
|
869 |
"epoch": 1.51,
|
870 |
"learning_rate": 3.1155555555555555e-06,
|
871 |
-
"loss": 0.
|
872 |
"step": 3600
|
873 |
},
|
874 |
{
|
875 |
"epoch": 1.52,
|
876 |
"learning_rate": 3.0600000000000003e-06,
|
877 |
-
"loss": 0.
|
878 |
"step": 3625
|
879 |
},
|
880 |
{
|
881 |
"epoch": 1.53,
|
882 |
"learning_rate": 3.004444444444445e-06,
|
883 |
-
"loss": 0.
|
884 |
"step": 3650
|
885 |
},
|
886 |
{
|
887 |
"epoch": 1.54,
|
888 |
"learning_rate": 2.948888888888889e-06,
|
889 |
-
"loss": 0.
|
890 |
"step": 3675
|
891 |
},
|
892 |
{
|
893 |
"epoch": 1.55,
|
894 |
"learning_rate": 2.8933333333333337e-06,
|
895 |
-
"loss": 0.
|
896 |
"step": 3700
|
897 |
},
|
898 |
{
|
899 |
"epoch": 1.56,
|
900 |
"learning_rate": 2.837777777777778e-06,
|
901 |
-
"loss": 0.
|
902 |
"step": 3725
|
903 |
},
|
904 |
{
|
905 |
"epoch": 1.57,
|
906 |
"learning_rate": 2.7822222222222222e-06,
|
907 |
-
"loss": 0.
|
908 |
"step": 3750
|
909 |
},
|
910 |
{
|
911 |
"epoch": 1.58,
|
912 |
"learning_rate": 2.726666666666667e-06,
|
913 |
-
"loss": 0.
|
914 |
"step": 3775
|
915 |
},
|
916 |
{
|
917 |
"epoch": 1.59,
|
918 |
"learning_rate": 2.6711111111111116e-06,
|
919 |
-
"loss": 0.
|
920 |
"step": 3800
|
921 |
},
|
922 |
{
|
923 |
"epoch": 1.6,
|
924 |
"learning_rate": 2.6155555555555556e-06,
|
925 |
-
"loss": 0.
|
926 |
"step": 3825
|
927 |
},
|
928 |
{
|
929 |
"epoch": 1.61,
|
930 |
"learning_rate": 2.56e-06,
|
931 |
-
"loss": 0.
|
932 |
"step": 3850
|
933 |
},
|
934 |
{
|
935 |
"epoch": 1.62,
|
936 |
"learning_rate": 2.504444444444445e-06,
|
937 |
-
"loss": 0.
|
938 |
"step": 3875
|
939 |
},
|
940 |
{
|
941 |
"epoch": 1.63,
|
942 |
"learning_rate": 2.448888888888889e-06,
|
943 |
-
"loss": 0.
|
944 |
"step": 3900
|
945 |
},
|
946 |
{
|
947 |
"epoch": 1.64,
|
948 |
"learning_rate": 2.3933333333333334e-06,
|
949 |
-
"loss": 0.
|
950 |
"step": 3925
|
951 |
},
|
952 |
{
|
953 |
"epoch": 1.65,
|
954 |
"learning_rate": 2.337777777777778e-06,
|
955 |
-
"loss": 0.
|
956 |
"step": 3950
|
957 |
},
|
958 |
{
|
959 |
"epoch": 1.66,
|
960 |
"learning_rate": 2.2822222222222223e-06,
|
961 |
-
"loss": 0.
|
962 |
"step": 3975
|
963 |
},
|
964 |
{
|
965 |
"epoch": 1.67,
|
966 |
"learning_rate": 2.226666666666667e-06,
|
967 |
-
"loss": 0.
|
968 |
"step": 4000
|
969 |
},
|
970 |
{
|
971 |
"epoch": 1.68,
|
972 |
"learning_rate": 2.1711111111111113e-06,
|
973 |
-
"loss": 0.
|
974 |
"step": 4025
|
975 |
},
|
976 |
{
|
977 |
"epoch": 1.69,
|
978 |
-
"learning_rate": 2.
|
979 |
-
"loss": 0.
|
980 |
"step": 4050
|
981 |
},
|
982 |
{
|
983 |
"epoch": 1.7,
|
984 |
-
"learning_rate": 2.
|
985 |
-
"loss": 0.
|
986 |
"step": 4075
|
987 |
},
|
988 |
{
|
989 |
"epoch": 1.71,
|
990 |
-
"learning_rate": 2.
|
991 |
-
"loss": 0.
|
992 |
"step": 4100
|
993 |
},
|
994 |
{
|
995 |
"epoch": 1.73,
|
996 |
-
"learning_rate": 1.
|
997 |
-
"loss": 0.
|
998 |
"step": 4125
|
999 |
},
|
1000 |
{
|
1001 |
"epoch": 1.74,
|
1002 |
-
"learning_rate": 1.
|
1003 |
-
"loss": 0.
|
1004 |
"step": 4150
|
1005 |
},
|
1006 |
{
|
1007 |
"epoch": 1.75,
|
1008 |
-
"learning_rate": 1.
|
1009 |
-
"loss": 0.
|
1010 |
"step": 4175
|
1011 |
},
|
1012 |
{
|
1013 |
"epoch": 1.76,
|
1014 |
-
"learning_rate": 1.
|
1015 |
-
"loss": 0.
|
1016 |
"step": 4200
|
1017 |
},
|
1018 |
{
|
1019 |
"epoch": 1.77,
|
1020 |
-
"learning_rate": 1.
|
1021 |
-
"loss": 0.
|
1022 |
"step": 4225
|
1023 |
},
|
1024 |
{
|
1025 |
"epoch": 1.78,
|
1026 |
-
"learning_rate": 1.
|
1027 |
-
"loss": 0.
|
1028 |
"step": 4250
|
1029 |
},
|
1030 |
{
|
1031 |
"epoch": 1.79,
|
1032 |
-
"learning_rate": 1.
|
1033 |
-
"loss": 0.
|
1034 |
"step": 4275
|
1035 |
},
|
1036 |
{
|
1037 |
"epoch": 1.8,
|
1038 |
-
"learning_rate": 1.
|
1039 |
-
"loss": 0.
|
1040 |
"step": 4300
|
1041 |
},
|
1042 |
{
|
1043 |
"epoch": 1.81,
|
1044 |
-
"learning_rate": 1.
|
1045 |
-
"loss": 0.
|
1046 |
"step": 4325
|
1047 |
},
|
1048 |
{
|
1049 |
"epoch": 1.82,
|
1050 |
-
"learning_rate": 1.
|
1051 |
-
"loss": 0.
|
1052 |
"step": 4350
|
1053 |
},
|
1054 |
{
|
1055 |
"epoch": 1.83,
|
1056 |
-
"learning_rate": 1.
|
1057 |
-
"loss": 0.
|
1058 |
"step": 4375
|
1059 |
},
|
1060 |
{
|
1061 |
"epoch": 1.84,
|
1062 |
-
"learning_rate": 1.
|
1063 |
-
"loss": 0.
|
1064 |
"step": 4400
|
1065 |
},
|
1066 |
{
|
1067 |
"epoch": 1.85,
|
1068 |
-
"learning_rate": 1.
|
1069 |
-
"loss": 0.
|
1070 |
"step": 4425
|
1071 |
},
|
1072 |
{
|
1073 |
"epoch": 1.86,
|
1074 |
"learning_rate": 1.228888888888889e-06,
|
1075 |
-
"loss": 0.
|
1076 |
"step": 4450
|
1077 |
},
|
1078 |
{
|
1079 |
"epoch": 1.87,
|
1080 |
"learning_rate": 1.1733333333333335e-06,
|
1081 |
-
"loss": 0.
|
1082 |
"step": 4475
|
1083 |
},
|
1084 |
{
|
1085 |
"epoch": 1.88,
|
1086 |
"learning_rate": 1.117777777777778e-06,
|
1087 |
-
"loss": 0.
|
1088 |
"step": 4500
|
1089 |
},
|
1090 |
{
|
1091 |
"epoch": 1.89,
|
1092 |
"learning_rate": 1.0622222222222222e-06,
|
1093 |
-
"loss": 0.
|
1094 |
"step": 4525
|
1095 |
},
|
1096 |
{
|
1097 |
"epoch": 1.9,
|
1098 |
"learning_rate": 1.0066666666666668e-06,
|
1099 |
-
"loss": 0.
|
1100 |
"step": 4550
|
1101 |
},
|
1102 |
{
|
1103 |
"epoch": 1.91,
|
1104 |
"learning_rate": 9.511111111111111e-07,
|
1105 |
-
"loss": 0.
|
1106 |
"step": 4575
|
1107 |
},
|
1108 |
{
|
1109 |
"epoch": 1.92,
|
1110 |
"learning_rate": 8.955555555555557e-07,
|
1111 |
-
"loss": 0.
|
1112 |
"step": 4600
|
1113 |
},
|
1114 |
{
|
1115 |
"epoch": 1.93,
|
1116 |
"learning_rate": 8.400000000000001e-07,
|
1117 |
-
"loss": 0.
|
1118 |
"step": 4625
|
1119 |
},
|
1120 |
{
|
1121 |
"epoch": 1.94,
|
1122 |
"learning_rate": 7.844444444444445e-07,
|
1123 |
-
"loss": 0.
|
1124 |
"step": 4650
|
1125 |
},
|
1126 |
{
|
1127 |
"epoch": 1.96,
|
1128 |
"learning_rate": 7.28888888888889e-07,
|
1129 |
-
"loss": 0.
|
1130 |
"step": 4675
|
1131 |
},
|
1132 |
{
|
1133 |
"epoch": 1.97,
|
1134 |
"learning_rate": 6.733333333333334e-07,
|
1135 |
-
"loss": 0.
|
1136 |
"step": 4700
|
1137 |
},
|
1138 |
{
|
1139 |
"epoch": 1.98,
|
1140 |
"learning_rate": 6.177777777777778e-07,
|
1141 |
-
"loss": 0.
|
1142 |
"step": 4725
|
1143 |
},
|
1144 |
{
|
1145 |
"epoch": 1.99,
|
1146 |
"learning_rate": 5.622222222222223e-07,
|
1147 |
-
"loss": 0.
|
1148 |
"step": 4750
|
1149 |
},
|
1150 |
{
|
1151 |
"epoch": 2.0,
|
1152 |
"learning_rate": 5.066666666666667e-07,
|
1153 |
-
"loss": 0.
|
1154 |
"step": 4775
|
1155 |
},
|
1156 |
{
|
1157 |
"epoch": 2.01,
|
1158 |
"learning_rate": 4.511111111111111e-07,
|
1159 |
-
"loss": 0.
|
1160 |
"step": 4800
|
1161 |
},
|
1162 |
{
|
1163 |
"epoch": 2.02,
|
1164 |
"learning_rate": 3.9555555555555557e-07,
|
1165 |
-
"loss": 0.
|
1166 |
"step": 4825
|
1167 |
},
|
1168 |
{
|
1169 |
"epoch": 2.03,
|
1170 |
"learning_rate": 3.4000000000000003e-07,
|
1171 |
-
"loss": 0.
|
1172 |
"step": 4850
|
1173 |
},
|
1174 |
{
|
1175 |
"epoch": 2.04,
|
1176 |
"learning_rate": 2.844444444444445e-07,
|
1177 |
-
"loss": 0.
|
1178 |
"step": 4875
|
1179 |
},
|
1180 |
{
|
1181 |
"epoch": 2.05,
|
1182 |
"learning_rate": 2.2888888888888892e-07,
|
1183 |
-
"loss": 0.
|
1184 |
"step": 4900
|
1185 |
},
|
1186 |
{
|
1187 |
"epoch": 2.06,
|
1188 |
"learning_rate": 1.7333333333333335e-07,
|
1189 |
-
"loss": 0.
|
1190 |
"step": 4925
|
1191 |
},
|
1192 |
{
|
1193 |
"epoch": 2.07,
|
1194 |
"learning_rate": 1.1777777777777778e-07,
|
1195 |
-
"loss": 0.
|
1196 |
"step": 4950
|
1197 |
},
|
1198 |
{
|
1199 |
"epoch": 2.08,
|
1200 |
"learning_rate": 6.222222222222223e-08,
|
1201 |
-
"loss": 0.
|
1202 |
"step": 4975
|
1203 |
},
|
1204 |
{
|
1205 |
"epoch": 2.09,
|
1206 |
"learning_rate": 6.666666666666667e-09,
|
1207 |
-
"loss": 0.
|
1208 |
"step": 5000
|
1209 |
},
|
1210 |
{
|
1211 |
"epoch": 2.09,
|
1212 |
-
"eval_loss": 0.
|
1213 |
-
"eval_runtime":
|
1214 |
-
"eval_samples_per_second": 1.
|
1215 |
"eval_steps_per_second": 0.032,
|
1216 |
-
"eval_wer": 13.
|
1217 |
"step": 5000
|
1218 |
},
|
1219 |
{
|
1220 |
"epoch": 2.09,
|
1221 |
"step": 5000,
|
1222 |
"total_flos": 1.6325800221671424e+20,
|
1223 |
-
"train_loss": 0.
|
1224 |
-
"train_runtime":
|
1225 |
-
"train_samples_per_second": 5.
|
1226 |
"train_steps_per_second": 0.177
|
1227 |
}
|
1228 |
],
|
|
|
1 |
{
|
2 |
+
"best_metric": 13.157993518599618,
|
3 |
"best_model_checkpoint": "./checkpoint-5000",
|
4 |
"epoch": 2.0911752404851525,
|
5 |
"global_step": 5000,
|
|
|
9 |
"log_history": [
|
10 |
{
|
11 |
"epoch": 0.01,
|
12 |
+
"learning_rate": 5.000000000000001e-07,
|
13 |
+
"loss": 0.0875,
|
14 |
"step": 25
|
15 |
},
|
16 |
{
|
17 |
"epoch": 0.02,
|
18 |
+
"learning_rate": 1.0000000000000002e-06,
|
19 |
+
"loss": 0.0896,
|
20 |
"step": 50
|
21 |
},
|
22 |
{
|
23 |
"epoch": 0.03,
|
24 |
+
"learning_rate": 1.5e-06,
|
25 |
+
"loss": 0.0854,
|
26 |
"step": 75
|
27 |
},
|
28 |
{
|
29 |
"epoch": 0.04,
|
30 |
+
"learning_rate": 2.0000000000000003e-06,
|
31 |
+
"loss": 0.0822,
|
32 |
"step": 100
|
33 |
},
|
34 |
{
|
35 |
"epoch": 0.05,
|
36 |
+
"learning_rate": 2.5e-06,
|
37 |
+
"loss": 0.0888,
|
38 |
"step": 125
|
39 |
},
|
40 |
{
|
41 |
"epoch": 0.06,
|
42 |
+
"learning_rate": 3e-06,
|
43 |
+
"loss": 0.0932,
|
44 |
"step": 150
|
45 |
},
|
46 |
{
|
47 |
"epoch": 0.07,
|
48 |
+
"learning_rate": 3.48e-06,
|
49 |
+
"loss": 0.0985,
|
50 |
"step": 175
|
51 |
},
|
52 |
{
|
53 |
"epoch": 0.08,
|
54 |
+
"learning_rate": 3.980000000000001e-06,
|
55 |
+
"loss": 0.0774,
|
56 |
"step": 200
|
57 |
},
|
58 |
{
|
59 |
"epoch": 0.09,
|
60 |
+
"learning_rate": 4.48e-06,
|
61 |
+
"loss": 0.0943,
|
62 |
"step": 225
|
63 |
},
|
64 |
{
|
65 |
"epoch": 0.1,
|
66 |
+
"learning_rate": 4.980000000000001e-06,
|
67 |
+
"loss": 0.0862,
|
68 |
"step": 250
|
69 |
},
|
70 |
{
|
71 |
"epoch": 0.12,
|
72 |
+
"learning_rate": 5.480000000000001e-06,
|
73 |
+
"loss": 0.0713,
|
74 |
"step": 275
|
75 |
},
|
76 |
{
|
77 |
"epoch": 0.13,
|
78 |
+
"learning_rate": 5.98e-06,
|
79 |
+
"loss": 0.0788,
|
80 |
"step": 300
|
81 |
},
|
82 |
{
|
83 |
"epoch": 0.14,
|
84 |
+
"learning_rate": 6.480000000000001e-06,
|
85 |
+
"loss": 0.0698,
|
86 |
"step": 325
|
87 |
},
|
88 |
{
|
89 |
"epoch": 0.15,
|
90 |
+
"learning_rate": 6.98e-06,
|
91 |
+
"loss": 0.0847,
|
92 |
"step": 350
|
93 |
},
|
94 |
{
|
95 |
"epoch": 0.16,
|
96 |
+
"learning_rate": 7.48e-06,
|
97 |
+
"loss": 0.087,
|
98 |
"step": 375
|
99 |
},
|
100 |
{
|
101 |
"epoch": 0.17,
|
102 |
+
"learning_rate": 7.980000000000002e-06,
|
103 |
+
"loss": 0.0899,
|
104 |
"step": 400
|
105 |
},
|
106 |
{
|
107 |
"epoch": 0.18,
|
108 |
+
"learning_rate": 8.48e-06,
|
109 |
+
"loss": 0.0825,
|
110 |
"step": 425
|
111 |
},
|
112 |
{
|
113 |
"epoch": 0.19,
|
114 |
+
"learning_rate": 8.98e-06,
|
115 |
+
"loss": 0.0725,
|
116 |
"step": 450
|
117 |
},
|
118 |
{
|
119 |
"epoch": 0.2,
|
120 |
+
"learning_rate": 9.48e-06,
|
121 |
+
"loss": 0.0944,
|
122 |
"step": 475
|
123 |
},
|
124 |
{
|
125 |
"epoch": 0.21,
|
126 |
+
"learning_rate": 9.980000000000001e-06,
|
127 |
+
"loss": 0.0983,
|
128 |
"step": 500
|
129 |
},
|
130 |
{
|
131 |
"epoch": 0.22,
|
132 |
+
"learning_rate": 9.946666666666667e-06,
|
133 |
+
"loss": 0.0789,
|
134 |
"step": 525
|
135 |
},
|
136 |
{
|
137 |
"epoch": 0.23,
|
138 |
+
"learning_rate": 9.891111111111113e-06,
|
139 |
+
"loss": 0.0909,
|
140 |
"step": 550
|
141 |
},
|
142 |
{
|
143 |
"epoch": 0.24,
|
144 |
+
"learning_rate": 9.835555555555556e-06,
|
145 |
+
"loss": 0.0876,
|
146 |
"step": 575
|
147 |
},
|
148 |
{
|
149 |
"epoch": 0.25,
|
150 |
+
"learning_rate": 9.780000000000001e-06,
|
151 |
+
"loss": 0.0826,
|
152 |
"step": 600
|
153 |
},
|
154 |
{
|
155 |
"epoch": 0.26,
|
156 |
+
"learning_rate": 9.724444444444445e-06,
|
157 |
+
"loss": 0.0782,
|
158 |
"step": 625
|
159 |
},
|
160 |
{
|
161 |
"epoch": 0.27,
|
162 |
+
"learning_rate": 9.66888888888889e-06,
|
163 |
+
"loss": 0.0826,
|
164 |
"step": 650
|
165 |
},
|
166 |
{
|
167 |
"epoch": 0.28,
|
168 |
+
"learning_rate": 9.613333333333335e-06,
|
169 |
+
"loss": 0.0794,
|
170 |
"step": 675
|
171 |
},
|
172 |
{
|
173 |
"epoch": 0.29,
|
174 |
+
"learning_rate": 9.557777777777777e-06,
|
175 |
+
"loss": 0.0808,
|
176 |
"step": 700
|
177 |
},
|
178 |
{
|
179 |
"epoch": 0.3,
|
180 |
+
"learning_rate": 9.502222222222223e-06,
|
181 |
+
"loss": 0.0792,
|
182 |
"step": 725
|
183 |
},
|
184 |
{
|
185 |
"epoch": 0.31,
|
186 |
+
"learning_rate": 9.446666666666667e-06,
|
187 |
+
"loss": 0.0775,
|
188 |
"step": 750
|
189 |
},
|
190 |
{
|
191 |
"epoch": 0.32,
|
192 |
+
"learning_rate": 9.391111111111111e-06,
|
193 |
+
"loss": 0.1031,
|
194 |
"step": 775
|
195 |
},
|
196 |
{
|
197 |
"epoch": 0.33,
|
198 |
+
"learning_rate": 9.335555555555557e-06,
|
199 |
+
"loss": 0.0897,
|
200 |
"step": 800
|
201 |
},
|
202 |
{
|
203 |
"epoch": 0.35,
|
204 |
+
"learning_rate": 9.280000000000001e-06,
|
205 |
+
"loss": 0.0908,
|
206 |
"step": 825
|
207 |
},
|
208 |
{
|
209 |
"epoch": 0.36,
|
210 |
+
"learning_rate": 9.224444444444445e-06,
|
211 |
+
"loss": 0.0853,
|
212 |
"step": 850
|
213 |
},
|
214 |
{
|
215 |
"epoch": 0.37,
|
216 |
+
"learning_rate": 9.168888888888889e-06,
|
217 |
+
"loss": 0.0965,
|
218 |
"step": 875
|
219 |
},
|
220 |
{
|
221 |
"epoch": 0.38,
|
222 |
+
"learning_rate": 9.113333333333335e-06,
|
223 |
+
"loss": 0.087,
|
224 |
"step": 900
|
225 |
},
|
226 |
{
|
227 |
"epoch": 0.39,
|
228 |
+
"learning_rate": 9.057777777777779e-06,
|
229 |
+
"loss": 0.0797,
|
230 |
"step": 925
|
231 |
},
|
232 |
{
|
233 |
"epoch": 0.4,
|
234 |
+
"learning_rate": 9.002222222222223e-06,
|
235 |
+
"loss": 0.091,
|
236 |
"step": 950
|
237 |
},
|
238 |
{
|
239 |
"epoch": 0.41,
|
240 |
+
"learning_rate": 8.946666666666669e-06,
|
241 |
+
"loss": 0.0891,
|
242 |
"step": 975
|
243 |
},
|
244 |
{
|
245 |
"epoch": 0.42,
|
246 |
+
"learning_rate": 8.891111111111111e-06,
|
247 |
+
"loss": 0.103,
|
248 |
"step": 1000
|
249 |
},
|
250 |
{
|
251 |
"epoch": 0.43,
|
252 |
+
"learning_rate": 8.835555555555557e-06,
|
253 |
+
"loss": 0.1141,
|
254 |
"step": 1025
|
255 |
},
|
256 |
{
|
257 |
"epoch": 0.44,
|
258 |
+
"learning_rate": 8.78e-06,
|
259 |
+
"loss": 0.0979,
|
260 |
"step": 1050
|
261 |
},
|
262 |
{
|
263 |
"epoch": 0.45,
|
264 |
+
"learning_rate": 8.724444444444445e-06,
|
265 |
+
"loss": 0.0801,
|
266 |
"step": 1075
|
267 |
},
|
268 |
{
|
269 |
"epoch": 0.46,
|
270 |
+
"learning_rate": 8.66888888888889e-06,
|
271 |
+
"loss": 0.0868,
|
272 |
"step": 1100
|
273 |
},
|
274 |
{
|
275 |
"epoch": 0.47,
|
276 |
+
"learning_rate": 8.613333333333333e-06,
|
277 |
+
"loss": 0.094,
|
278 |
"step": 1125
|
279 |
},
|
280 |
{
|
281 |
"epoch": 0.48,
|
282 |
+
"learning_rate": 8.557777777777778e-06,
|
283 |
+
"loss": 0.092,
|
284 |
"step": 1150
|
285 |
},
|
286 |
{
|
287 |
"epoch": 0.49,
|
288 |
+
"learning_rate": 8.502222222222223e-06,
|
289 |
+
"loss": 0.0843,
|
290 |
"step": 1175
|
291 |
},
|
292 |
{
|
293 |
"epoch": 0.5,
|
294 |
+
"learning_rate": 8.446666666666668e-06,
|
295 |
+
"loss": 0.0784,
|
296 |
"step": 1200
|
297 |
},
|
298 |
{
|
299 |
"epoch": 0.51,
|
300 |
+
"learning_rate": 8.391111111111112e-06,
|
301 |
+
"loss": 0.081,
|
302 |
"step": 1225
|
303 |
},
|
304 |
{
|
305 |
"epoch": 0.52,
|
306 |
+
"learning_rate": 8.335555555555556e-06,
|
307 |
+
"loss": 0.0772,
|
308 |
"step": 1250
|
309 |
},
|
310 |
{
|
311 |
"epoch": 0.53,
|
312 |
+
"learning_rate": 8.28e-06,
|
313 |
+
"loss": 0.0914,
|
314 |
"step": 1275
|
315 |
},
|
316 |
{
|
317 |
"epoch": 0.54,
|
318 |
+
"learning_rate": 8.224444444444444e-06,
|
319 |
+
"loss": 0.0981,
|
320 |
"step": 1300
|
321 |
},
|
322 |
{
|
323 |
"epoch": 0.55,
|
324 |
+
"learning_rate": 8.16888888888889e-06,
|
325 |
+
"loss": 0.0859,
|
326 |
"step": 1325
|
327 |
},
|
328 |
{
|
329 |
"epoch": 0.56,
|
330 |
+
"learning_rate": 8.113333333333334e-06,
|
331 |
+
"loss": 0.1,
|
332 |
"step": 1350
|
333 |
},
|
334 |
{
|
335 |
"epoch": 0.58,
|
336 |
+
"learning_rate": 8.057777777777778e-06,
|
337 |
+
"loss": 0.0998,
|
338 |
"step": 1375
|
339 |
},
|
340 |
{
|
341 |
"epoch": 0.59,
|
342 |
+
"learning_rate": 8.002222222222222e-06,
|
343 |
+
"loss": 0.086,
|
344 |
"step": 1400
|
345 |
},
|
346 |
{
|
347 |
"epoch": 0.6,
|
348 |
+
"learning_rate": 7.946666666666666e-06,
|
349 |
+
"loss": 0.0879,
|
350 |
"step": 1425
|
351 |
},
|
352 |
{
|
353 |
"epoch": 0.61,
|
354 |
+
"learning_rate": 7.891111111111112e-06,
|
355 |
+
"loss": 0.0754,
|
356 |
"step": 1450
|
357 |
},
|
358 |
{
|
359 |
"epoch": 0.62,
|
360 |
+
"learning_rate": 7.835555555555556e-06,
|
361 |
+
"loss": 0.092,
|
362 |
"step": 1475
|
363 |
},
|
364 |
{
|
365 |
"epoch": 0.63,
|
366 |
+
"learning_rate": 7.78e-06,
|
367 |
+
"loss": 0.0921,
|
368 |
"step": 1500
|
369 |
},
|
370 |
{
|
371 |
"epoch": 0.64,
|
372 |
+
"learning_rate": 7.724444444444446e-06,
|
373 |
+
"loss": 0.0995,
|
374 |
"step": 1525
|
375 |
},
|
376 |
{
|
377 |
"epoch": 0.65,
|
378 |
+
"learning_rate": 7.66888888888889e-06,
|
379 |
+
"loss": 0.0746,
|
380 |
"step": 1550
|
381 |
},
|
382 |
{
|
383 |
"epoch": 0.66,
|
384 |
+
"learning_rate": 7.613333333333334e-06,
|
385 |
+
"loss": 0.0779,
|
386 |
"step": 1575
|
387 |
},
|
388 |
{
|
389 |
"epoch": 0.67,
|
390 |
+
"learning_rate": 7.557777777777779e-06,
|
391 |
+
"loss": 0.0981,
|
392 |
"step": 1600
|
393 |
},
|
394 |
{
|
395 |
"epoch": 0.68,
|
396 |
+
"learning_rate": 7.502222222222223e-06,
|
397 |
+
"loss": 0.0775,
|
398 |
"step": 1625
|
399 |
},
|
400 |
{
|
401 |
"epoch": 0.69,
|
402 |
+
"learning_rate": 7.446666666666668e-06,
|
403 |
+
"loss": 0.096,
|
404 |
"step": 1650
|
405 |
},
|
406 |
{
|
407 |
"epoch": 0.7,
|
408 |
+
"learning_rate": 7.3911111111111125e-06,
|
409 |
+
"loss": 0.0901,
|
410 |
"step": 1675
|
411 |
},
|
412 |
{
|
413 |
"epoch": 0.71,
|
414 |
+
"learning_rate": 7.335555555555556e-06,
|
415 |
+
"loss": 0.0879,
|
416 |
"step": 1700
|
417 |
},
|
418 |
{
|
419 |
"epoch": 0.72,
|
420 |
+
"learning_rate": 7.280000000000001e-06,
|
421 |
+
"loss": 0.0805,
|
422 |
"step": 1725
|
423 |
},
|
424 |
{
|
425 |
"epoch": 0.73,
|
426 |
+
"learning_rate": 7.224444444444445e-06,
|
427 |
+
"loss": 0.0935,
|
428 |
"step": 1750
|
429 |
},
|
430 |
{
|
431 |
"epoch": 0.74,
|
432 |
+
"learning_rate": 7.1688888888888895e-06,
|
433 |
+
"loss": 0.091,
|
434 |
"step": 1775
|
435 |
},
|
436 |
{
|
437 |
"epoch": 0.75,
|
438 |
+
"learning_rate": 7.113333333333334e-06,
|
439 |
+
"loss": 0.1043,
|
440 |
"step": 1800
|
441 |
},
|
442 |
{
|
443 |
"epoch": 0.76,
|
444 |
+
"learning_rate": 7.057777777777778e-06,
|
445 |
+
"loss": 0.0865,
|
446 |
"step": 1825
|
447 |
},
|
448 |
{
|
449 |
"epoch": 0.77,
|
450 |
+
"learning_rate": 7.0022222222222225e-06,
|
451 |
+
"loss": 0.1032,
|
452 |
"step": 1850
|
453 |
},
|
454 |
{
|
455 |
"epoch": 0.78,
|
456 |
+
"learning_rate": 6.946666666666667e-06,
|
457 |
+
"loss": 0.0983,
|
458 |
"step": 1875
|
459 |
},
|
460 |
{
|
461 |
"epoch": 0.79,
|
462 |
+
"learning_rate": 6.891111111111111e-06,
|
463 |
+
"loss": 0.0874,
|
464 |
"step": 1900
|
465 |
},
|
466 |
{
|
467 |
"epoch": 0.81,
|
468 |
+
"learning_rate": 6.835555555555556e-06,
|
469 |
+
"loss": 0.0937,
|
470 |
"step": 1925
|
471 |
},
|
472 |
{
|
473 |
"epoch": 0.82,
|
474 |
+
"learning_rate": 6.780000000000001e-06,
|
475 |
+
"loss": 0.0836,
|
476 |
"step": 1950
|
477 |
},
|
478 |
{
|
479 |
"epoch": 0.83,
|
480 |
+
"learning_rate": 6.724444444444444e-06,
|
481 |
+
"loss": 0.0708,
|
482 |
"step": 1975
|
483 |
},
|
484 |
{
|
485 |
"epoch": 0.84,
|
486 |
+
"learning_rate": 6.668888888888889e-06,
|
487 |
+
"loss": 0.0839,
|
488 |
"step": 2000
|
489 |
},
|
490 |
{
|
491 |
"epoch": 0.85,
|
492 |
+
"learning_rate": 6.613333333333334e-06,
|
493 |
+
"loss": 0.092,
|
494 |
"step": 2025
|
495 |
},
|
496 |
{
|
497 |
"epoch": 0.86,
|
498 |
+
"learning_rate": 6.557777777777778e-06,
|
499 |
+
"loss": 0.0798,
|
500 |
"step": 2050
|
501 |
},
|
502 |
{
|
503 |
"epoch": 0.87,
|
504 |
+
"learning_rate": 6.502222222222223e-06,
|
505 |
+
"loss": 0.0634,
|
506 |
"step": 2075
|
507 |
},
|
508 |
{
|
509 |
"epoch": 0.88,
|
510 |
+
"learning_rate": 6.446666666666668e-06,
|
511 |
+
"loss": 0.1018,
|
512 |
"step": 2100
|
513 |
},
|
514 |
{
|
515 |
"epoch": 0.89,
|
516 |
+
"learning_rate": 6.391111111111111e-06,
|
517 |
+
"loss": 0.0864,
|
518 |
"step": 2125
|
519 |
},
|
520 |
{
|
521 |
"epoch": 0.9,
|
522 |
+
"learning_rate": 6.335555555555556e-06,
|
523 |
+
"loss": 0.0818,
|
524 |
"step": 2150
|
525 |
},
|
526 |
{
|
527 |
"epoch": 0.91,
|
528 |
+
"learning_rate": 6.280000000000001e-06,
|
529 |
+
"loss": 0.0789,
|
530 |
"step": 2175
|
531 |
},
|
532 |
{
|
533 |
"epoch": 0.92,
|
534 |
+
"learning_rate": 6.224444444444445e-06,
|
535 |
+
"loss": 0.089,
|
536 |
"step": 2200
|
537 |
},
|
538 |
{
|
539 |
"epoch": 0.93,
|
540 |
+
"learning_rate": 6.16888888888889e-06,
|
541 |
+
"loss": 0.0968,
|
542 |
"step": 2225
|
543 |
},
|
544 |
{
|
545 |
"epoch": 0.94,
|
546 |
"learning_rate": 6.1155555555555555e-06,
|
547 |
+
"loss": 0.0935,
|
548 |
"step": 2250
|
549 |
},
|
550 |
{
|
551 |
"epoch": 0.95,
|
552 |
"learning_rate": 6.0600000000000004e-06,
|
553 |
+
"loss": 0.0703,
|
554 |
"step": 2275
|
555 |
},
|
556 |
{
|
557 |
"epoch": 0.96,
|
558 |
"learning_rate": 6.004444444444445e-06,
|
559 |
+
"loss": 0.1025,
|
560 |
"step": 2300
|
561 |
},
|
562 |
{
|
563 |
"epoch": 0.97,
|
564 |
"learning_rate": 5.948888888888889e-06,
|
565 |
+
"loss": 0.0912,
|
566 |
"step": 2325
|
567 |
},
|
568 |
{
|
569 |
"epoch": 0.98,
|
570 |
"learning_rate": 5.893333333333334e-06,
|
571 |
+
"loss": 0.0849,
|
572 |
"step": 2350
|
573 |
},
|
574 |
{
|
575 |
"epoch": 0.99,
|
576 |
"learning_rate": 5.837777777777777e-06,
|
577 |
+
"loss": 0.0972,
|
578 |
"step": 2375
|
579 |
},
|
580 |
{
|
581 |
"epoch": 1.0,
|
582 |
"learning_rate": 5.782222222222222e-06,
|
583 |
+
"loss": 0.0777,
|
584 |
"step": 2400
|
585 |
},
|
586 |
{
|
587 |
"epoch": 1.01,
|
588 |
"learning_rate": 5.726666666666667e-06,
|
589 |
+
"loss": 0.0338,
|
590 |
"step": 2425
|
591 |
},
|
592 |
{
|
593 |
"epoch": 1.02,
|
594 |
"learning_rate": 5.671111111111112e-06,
|
595 |
+
"loss": 0.0412,
|
596 |
"step": 2450
|
597 |
},
|
598 |
{
|
599 |
"epoch": 1.04,
|
600 |
"learning_rate": 5.615555555555556e-06,
|
601 |
+
"loss": 0.0341,
|
602 |
"step": 2475
|
603 |
},
|
604 |
{
|
605 |
"epoch": 1.05,
|
606 |
"learning_rate": 5.560000000000001e-06,
|
607 |
+
"loss": 0.0344,
|
608 |
"step": 2500
|
609 |
},
|
610 |
{
|
611 |
"epoch": 1.06,
|
612 |
"learning_rate": 5.504444444444444e-06,
|
613 |
+
"loss": 0.0435,
|
614 |
"step": 2525
|
615 |
},
|
616 |
{
|
617 |
"epoch": 1.07,
|
618 |
"learning_rate": 5.448888888888889e-06,
|
619 |
+
"loss": 0.0425,
|
620 |
"step": 2550
|
621 |
},
|
622 |
{
|
623 |
"epoch": 1.08,
|
624 |
"learning_rate": 5.393333333333334e-06,
|
625 |
+
"loss": 0.0281,
|
626 |
"step": 2575
|
627 |
},
|
628 |
{
|
629 |
"epoch": 1.09,
|
630 |
"learning_rate": 5.337777777777779e-06,
|
631 |
+
"loss": 0.0372,
|
632 |
"step": 2600
|
633 |
},
|
634 |
{
|
635 |
"epoch": 1.1,
|
636 |
"learning_rate": 5.282222222222223e-06,
|
637 |
+
"loss": 0.0435,
|
638 |
"step": 2625
|
639 |
},
|
640 |
{
|
641 |
"epoch": 1.11,
|
642 |
"learning_rate": 5.226666666666667e-06,
|
643 |
+
"loss": 0.043,
|
644 |
"step": 2650
|
645 |
},
|
646 |
{
|
647 |
"epoch": 1.12,
|
648 |
"learning_rate": 5.171111111111111e-06,
|
649 |
+
"loss": 0.0374,
|
650 |
"step": 2675
|
651 |
},
|
652 |
{
|
653 |
"epoch": 1.13,
|
654 |
"learning_rate": 5.115555555555556e-06,
|
655 |
+
"loss": 0.0432,
|
656 |
"step": 2700
|
657 |
},
|
658 |
{
|
659 |
"epoch": 1.14,
|
660 |
"learning_rate": 5.060000000000001e-06,
|
661 |
+
"loss": 0.0483,
|
662 |
"step": 2725
|
663 |
},
|
664 |
{
|
665 |
"epoch": 1.15,
|
666 |
"learning_rate": 5.004444444444445e-06,
|
667 |
+
"loss": 0.0413,
|
668 |
"step": 2750
|
669 |
},
|
670 |
{
|
671 |
"epoch": 1.16,
|
672 |
"learning_rate": 4.94888888888889e-06,
|
673 |
+
"loss": 0.0357,
|
674 |
"step": 2775
|
675 |
},
|
676 |
{
|
677 |
"epoch": 1.17,
|
678 |
"learning_rate": 4.893333333333334e-06,
|
679 |
+
"loss": 0.0312,
|
680 |
"step": 2800
|
681 |
},
|
682 |
{
|
683 |
"epoch": 1.18,
|
684 |
"learning_rate": 4.837777777777778e-06,
|
685 |
+
"loss": 0.0371,
|
686 |
"step": 2825
|
687 |
},
|
688 |
{
|
689 |
"epoch": 1.19,
|
690 |
"learning_rate": 4.7822222222222226e-06,
|
691 |
+
"loss": 0.0466,
|
692 |
"step": 2850
|
693 |
},
|
694 |
{
|
695 |
"epoch": 1.2,
|
696 |
"learning_rate": 4.7266666666666674e-06,
|
697 |
+
"loss": 0.0473,
|
698 |
"step": 2875
|
699 |
},
|
700 |
{
|
701 |
"epoch": 1.21,
|
702 |
"learning_rate": 4.6711111111111115e-06,
|
703 |
+
"loss": 0.0392,
|
704 |
"step": 2900
|
705 |
},
|
706 |
{
|
707 |
"epoch": 1.22,
|
708 |
"learning_rate": 4.6155555555555555e-06,
|
709 |
+
"loss": 0.0395,
|
710 |
"step": 2925
|
711 |
},
|
712 |
{
|
713 |
"epoch": 1.23,
|
714 |
"learning_rate": 4.56e-06,
|
715 |
+
"loss": 0.0307,
|
716 |
"step": 2950
|
717 |
},
|
718 |
{
|
719 |
"epoch": 1.24,
|
720 |
"learning_rate": 4.504444444444444e-06,
|
721 |
+
"loss": 0.0474,
|
722 |
"step": 2975
|
723 |
},
|
724 |
{
|
725 |
"epoch": 1.25,
|
726 |
"learning_rate": 4.448888888888889e-06,
|
727 |
+
"loss": 0.0405,
|
728 |
"step": 3000
|
729 |
},
|
730 |
{
|
731 |
"epoch": 1.27,
|
732 |
"learning_rate": 4.393333333333334e-06,
|
733 |
+
"loss": 0.0343,
|
734 |
"step": 3025
|
735 |
},
|
736 |
{
|
737 |
"epoch": 1.28,
|
738 |
"learning_rate": 4.337777777777778e-06,
|
739 |
+
"loss": 0.0406,
|
740 |
"step": 3050
|
741 |
},
|
742 |
{
|
743 |
"epoch": 1.29,
|
744 |
"learning_rate": 4.282222222222222e-06,
|
745 |
+
"loss": 0.0454,
|
746 |
"step": 3075
|
747 |
},
|
748 |
{
|
749 |
"epoch": 1.3,
|
750 |
"learning_rate": 4.226666666666667e-06,
|
751 |
+
"loss": 0.0478,
|
752 |
"step": 3100
|
753 |
},
|
754 |
{
|
755 |
"epoch": 1.31,
|
756 |
"learning_rate": 4.171111111111111e-06,
|
757 |
+
"loss": 0.0364,
|
758 |
"step": 3125
|
759 |
},
|
760 |
{
|
761 |
"epoch": 1.32,
|
762 |
"learning_rate": 4.115555555555556e-06,
|
763 |
+
"loss": 0.0385,
|
764 |
"step": 3150
|
765 |
},
|
766 |
{
|
767 |
"epoch": 1.33,
|
768 |
"learning_rate": 4.060000000000001e-06,
|
769 |
+
"loss": 0.0448,
|
770 |
"step": 3175
|
771 |
},
|
772 |
{
|
773 |
"epoch": 1.34,
|
774 |
"learning_rate": 4.004444444444445e-06,
|
775 |
+
"loss": 0.0395,
|
776 |
"step": 3200
|
777 |
},
|
778 |
{
|
779 |
"epoch": 1.35,
|
780 |
"learning_rate": 3.948888888888889e-06,
|
781 |
+
"loss": 0.0439,
|
782 |
"step": 3225
|
783 |
},
|
784 |
{
|
785 |
"epoch": 1.36,
|
786 |
"learning_rate": 3.893333333333333e-06,
|
787 |
+
"loss": 0.0438,
|
788 |
"step": 3250
|
789 |
},
|
790 |
{
|
791 |
"epoch": 1.37,
|
792 |
"learning_rate": 3.837777777777778e-06,
|
793 |
+
"loss": 0.048,
|
794 |
"step": 3275
|
795 |
},
|
796 |
{
|
797 |
"epoch": 1.38,
|
798 |
"learning_rate": 3.782222222222223e-06,
|
799 |
+
"loss": 0.0403,
|
800 |
"step": 3300
|
801 |
},
|
802 |
{
|
803 |
"epoch": 1.39,
|
804 |
"learning_rate": 3.726666666666667e-06,
|
805 |
+
"loss": 0.0347,
|
806 |
"step": 3325
|
807 |
},
|
808 |
{
|
809 |
"epoch": 1.4,
|
810 |
"learning_rate": 3.6711111111111113e-06,
|
811 |
+
"loss": 0.0482,
|
812 |
"step": 3350
|
813 |
},
|
814 |
{
|
815 |
"epoch": 1.41,
|
816 |
"learning_rate": 3.615555555555556e-06,
|
817 |
+
"loss": 0.043,
|
818 |
"step": 3375
|
819 |
},
|
820 |
{
|
821 |
"epoch": 1.42,
|
822 |
"learning_rate": 3.5600000000000002e-06,
|
823 |
+
"loss": 0.0412,
|
824 |
"step": 3400
|
825 |
},
|
826 |
{
|
827 |
"epoch": 1.43,
|
828 |
"learning_rate": 3.5044444444444447e-06,
|
829 |
+
"loss": 0.036,
|
830 |
"step": 3425
|
831 |
},
|
832 |
{
|
833 |
"epoch": 1.44,
|
834 |
"learning_rate": 3.4488888888888896e-06,
|
835 |
+
"loss": 0.0444,
|
836 |
"step": 3450
|
837 |
},
|
838 |
{
|
839 |
"epoch": 1.45,
|
840 |
"learning_rate": 3.3933333333333336e-06,
|
841 |
+
"loss": 0.0388,
|
842 |
"step": 3475
|
843 |
},
|
844 |
{
|
845 |
"epoch": 1.46,
|
846 |
"learning_rate": 3.337777777777778e-06,
|
847 |
+
"loss": 0.0377,
|
848 |
"step": 3500
|
849 |
},
|
850 |
{
|
851 |
"epoch": 1.47,
|
852 |
"learning_rate": 3.282222222222223e-06,
|
853 |
+
"loss": 0.0388,
|
854 |
"step": 3525
|
855 |
},
|
856 |
{
|
857 |
"epoch": 1.48,
|
858 |
"learning_rate": 3.226666666666667e-06,
|
859 |
+
"loss": 0.0408,
|
860 |
"step": 3550
|
861 |
},
|
862 |
{
|
863 |
"epoch": 1.5,
|
864 |
"learning_rate": 3.1711111111111114e-06,
|
865 |
+
"loss": 0.0365,
|
866 |
"step": 3575
|
867 |
},
|
868 |
{
|
869 |
"epoch": 1.51,
|
870 |
"learning_rate": 3.1155555555555555e-06,
|
871 |
+
"loss": 0.0482,
|
872 |
"step": 3600
|
873 |
},
|
874 |
{
|
875 |
"epoch": 1.52,
|
876 |
"learning_rate": 3.0600000000000003e-06,
|
877 |
+
"loss": 0.0433,
|
878 |
"step": 3625
|
879 |
},
|
880 |
{
|
881 |
"epoch": 1.53,
|
882 |
"learning_rate": 3.004444444444445e-06,
|
883 |
+
"loss": 0.0373,
|
884 |
"step": 3650
|
885 |
},
|
886 |
{
|
887 |
"epoch": 1.54,
|
888 |
"learning_rate": 2.948888888888889e-06,
|
889 |
+
"loss": 0.0412,
|
890 |
"step": 3675
|
891 |
},
|
892 |
{
|
893 |
"epoch": 1.55,
|
894 |
"learning_rate": 2.8933333333333337e-06,
|
895 |
+
"loss": 0.0386,
|
896 |
"step": 3700
|
897 |
},
|
898 |
{
|
899 |
"epoch": 1.56,
|
900 |
"learning_rate": 2.837777777777778e-06,
|
901 |
+
"loss": 0.0411,
|
902 |
"step": 3725
|
903 |
},
|
904 |
{
|
905 |
"epoch": 1.57,
|
906 |
"learning_rate": 2.7822222222222222e-06,
|
907 |
+
"loss": 0.0496,
|
908 |
"step": 3750
|
909 |
},
|
910 |
{
|
911 |
"epoch": 1.58,
|
912 |
"learning_rate": 2.726666666666667e-06,
|
913 |
+
"loss": 0.0418,
|
914 |
"step": 3775
|
915 |
},
|
916 |
{
|
917 |
"epoch": 1.59,
|
918 |
"learning_rate": 2.6711111111111116e-06,
|
919 |
+
"loss": 0.0434,
|
920 |
"step": 3800
|
921 |
},
|
922 |
{
|
923 |
"epoch": 1.6,
|
924 |
"learning_rate": 2.6155555555555556e-06,
|
925 |
+
"loss": 0.0358,
|
926 |
"step": 3825
|
927 |
},
|
928 |
{
|
929 |
"epoch": 1.61,
|
930 |
"learning_rate": 2.56e-06,
|
931 |
+
"loss": 0.0487,
|
932 |
"step": 3850
|
933 |
},
|
934 |
{
|
935 |
"epoch": 1.62,
|
936 |
"learning_rate": 2.504444444444445e-06,
|
937 |
+
"loss": 0.0377,
|
938 |
"step": 3875
|
939 |
},
|
940 |
{
|
941 |
"epoch": 1.63,
|
942 |
"learning_rate": 2.448888888888889e-06,
|
943 |
+
"loss": 0.0437,
|
944 |
"step": 3900
|
945 |
},
|
946 |
{
|
947 |
"epoch": 1.64,
|
948 |
"learning_rate": 2.3933333333333334e-06,
|
949 |
+
"loss": 0.0455,
|
950 |
"step": 3925
|
951 |
},
|
952 |
{
|
953 |
"epoch": 1.65,
|
954 |
"learning_rate": 2.337777777777778e-06,
|
955 |
+
"loss": 0.0372,
|
956 |
"step": 3950
|
957 |
},
|
958 |
{
|
959 |
"epoch": 1.66,
|
960 |
"learning_rate": 2.2822222222222223e-06,
|
961 |
+
"loss": 0.033,
|
962 |
"step": 3975
|
963 |
},
|
964 |
{
|
965 |
"epoch": 1.67,
|
966 |
"learning_rate": 2.226666666666667e-06,
|
967 |
+
"loss": 0.0468,
|
968 |
"step": 4000
|
969 |
},
|
970 |
{
|
971 |
"epoch": 1.68,
|
972 |
"learning_rate": 2.1711111111111113e-06,
|
973 |
+
"loss": 0.0425,
|
974 |
"step": 4025
|
975 |
},
|
976 |
{
|
977 |
"epoch": 1.69,
|
978 |
+
"learning_rate": 2.1155555555555557e-06,
|
979 |
+
"loss": 0.0372,
|
980 |
"step": 4050
|
981 |
},
|
982 |
{
|
983 |
"epoch": 1.7,
|
984 |
+
"learning_rate": 2.06e-06,
|
985 |
+
"loss": 0.0342,
|
986 |
"step": 4075
|
987 |
},
|
988 |
{
|
989 |
"epoch": 1.71,
|
990 |
+
"learning_rate": 2.0044444444444446e-06,
|
991 |
+
"loss": 0.044,
|
992 |
"step": 4100
|
993 |
},
|
994 |
{
|
995 |
"epoch": 1.73,
|
996 |
+
"learning_rate": 1.948888888888889e-06,
|
997 |
+
"loss": 0.042,
|
998 |
"step": 4125
|
999 |
},
|
1000 |
{
|
1001 |
"epoch": 1.74,
|
1002 |
+
"learning_rate": 1.8933333333333333e-06,
|
1003 |
+
"loss": 0.0442,
|
1004 |
"step": 4150
|
1005 |
},
|
1006 |
{
|
1007 |
"epoch": 1.75,
|
1008 |
+
"learning_rate": 1.837777777777778e-06,
|
1009 |
+
"loss": 0.0415,
|
1010 |
"step": 4175
|
1011 |
},
|
1012 |
{
|
1013 |
"epoch": 1.76,
|
1014 |
+
"learning_rate": 1.7822222222222225e-06,
|
1015 |
+
"loss": 0.0458,
|
1016 |
"step": 4200
|
1017 |
},
|
1018 |
{
|
1019 |
"epoch": 1.77,
|
1020 |
+
"learning_rate": 1.7266666666666667e-06,
|
1021 |
+
"loss": 0.0503,
|
1022 |
"step": 4225
|
1023 |
},
|
1024 |
{
|
1025 |
"epoch": 1.78,
|
1026 |
+
"learning_rate": 1.6711111111111112e-06,
|
1027 |
+
"loss": 0.0527,
|
1028 |
"step": 4250
|
1029 |
},
|
1030 |
{
|
1031 |
"epoch": 1.79,
|
1032 |
+
"learning_rate": 1.6155555555555559e-06,
|
1033 |
+
"loss": 0.042,
|
1034 |
"step": 4275
|
1035 |
},
|
1036 |
{
|
1037 |
"epoch": 1.8,
|
1038 |
+
"learning_rate": 1.56e-06,
|
1039 |
+
"loss": 0.0497,
|
1040 |
"step": 4300
|
1041 |
},
|
1042 |
{
|
1043 |
"epoch": 1.81,
|
1044 |
+
"learning_rate": 1.5044444444444446e-06,
|
1045 |
+
"loss": 0.0501,
|
1046 |
"step": 4325
|
1047 |
},
|
1048 |
{
|
1049 |
"epoch": 1.82,
|
1050 |
+
"learning_rate": 1.4488888888888892e-06,
|
1051 |
+
"loss": 0.0451,
|
1052 |
"step": 4350
|
1053 |
},
|
1054 |
{
|
1055 |
"epoch": 1.83,
|
1056 |
+
"learning_rate": 1.3933333333333335e-06,
|
1057 |
+
"loss": 0.0397,
|
1058 |
"step": 4375
|
1059 |
},
|
1060 |
{
|
1061 |
"epoch": 1.84,
|
1062 |
+
"learning_rate": 1.337777777777778e-06,
|
1063 |
+
"loss": 0.0547,
|
1064 |
"step": 4400
|
1065 |
},
|
1066 |
{
|
1067 |
"epoch": 1.85,
|
1068 |
+
"learning_rate": 1.2822222222222222e-06,
|
1069 |
+
"loss": 0.0376,
|
1070 |
"step": 4425
|
1071 |
},
|
1072 |
{
|
1073 |
"epoch": 1.86,
|
1074 |
"learning_rate": 1.228888888888889e-06,
|
1075 |
+
"loss": 0.0468,
|
1076 |
"step": 4450
|
1077 |
},
|
1078 |
{
|
1079 |
"epoch": 1.87,
|
1080 |
"learning_rate": 1.1733333333333335e-06,
|
1081 |
+
"loss": 0.0429,
|
1082 |
"step": 4475
|
1083 |
},
|
1084 |
{
|
1085 |
"epoch": 1.88,
|
1086 |
"learning_rate": 1.117777777777778e-06,
|
1087 |
+
"loss": 0.0478,
|
1088 |
"step": 4500
|
1089 |
},
|
1090 |
{
|
1091 |
"epoch": 1.89,
|
1092 |
"learning_rate": 1.0622222222222222e-06,
|
1093 |
+
"loss": 0.0429,
|
1094 |
"step": 4525
|
1095 |
},
|
1096 |
{
|
1097 |
"epoch": 1.9,
|
1098 |
"learning_rate": 1.0066666666666668e-06,
|
1099 |
+
"loss": 0.0477,
|
1100 |
"step": 4550
|
1101 |
},
|
1102 |
{
|
1103 |
"epoch": 1.91,
|
1104 |
"learning_rate": 9.511111111111111e-07,
|
1105 |
+
"loss": 0.0443,
|
1106 |
"step": 4575
|
1107 |
},
|
1108 |
{
|
1109 |
"epoch": 1.92,
|
1110 |
"learning_rate": 8.955555555555557e-07,
|
1111 |
+
"loss": 0.0484,
|
1112 |
"step": 4600
|
1113 |
},
|
1114 |
{
|
1115 |
"epoch": 1.93,
|
1116 |
"learning_rate": 8.400000000000001e-07,
|
1117 |
+
"loss": 0.0494,
|
1118 |
"step": 4625
|
1119 |
},
|
1120 |
{
|
1121 |
"epoch": 1.94,
|
1122 |
"learning_rate": 7.844444444444445e-07,
|
1123 |
+
"loss": 0.0365,
|
1124 |
"step": 4650
|
1125 |
},
|
1126 |
{
|
1127 |
"epoch": 1.96,
|
1128 |
"learning_rate": 7.28888888888889e-07,
|
1129 |
+
"loss": 0.0517,
|
1130 |
"step": 4675
|
1131 |
},
|
1132 |
{
|
1133 |
"epoch": 1.97,
|
1134 |
"learning_rate": 6.733333333333334e-07,
|
1135 |
+
"loss": 0.0415,
|
1136 |
"step": 4700
|
1137 |
},
|
1138 |
{
|
1139 |
"epoch": 1.98,
|
1140 |
"learning_rate": 6.177777777777778e-07,
|
1141 |
+
"loss": 0.0442,
|
1142 |
"step": 4725
|
1143 |
},
|
1144 |
{
|
1145 |
"epoch": 1.99,
|
1146 |
"learning_rate": 5.622222222222223e-07,
|
1147 |
+
"loss": 0.0516,
|
1148 |
"step": 4750
|
1149 |
},
|
1150 |
{
|
1151 |
"epoch": 2.0,
|
1152 |
"learning_rate": 5.066666666666667e-07,
|
1153 |
+
"loss": 0.048,
|
1154 |
"step": 4775
|
1155 |
},
|
1156 |
{
|
1157 |
"epoch": 2.01,
|
1158 |
"learning_rate": 4.511111111111111e-07,
|
1159 |
+
"loss": 0.0256,
|
1160 |
"step": 4800
|
1161 |
},
|
1162 |
{
|
1163 |
"epoch": 2.02,
|
1164 |
"learning_rate": 3.9555555555555557e-07,
|
1165 |
+
"loss": 0.0213,
|
1166 |
"step": 4825
|
1167 |
},
|
1168 |
{
|
1169 |
"epoch": 2.03,
|
1170 |
"learning_rate": 3.4000000000000003e-07,
|
1171 |
+
"loss": 0.017,
|
1172 |
"step": 4850
|
1173 |
},
|
1174 |
{
|
1175 |
"epoch": 2.04,
|
1176 |
"learning_rate": 2.844444444444445e-07,
|
1177 |
+
"loss": 0.0132,
|
1178 |
"step": 4875
|
1179 |
},
|
1180 |
{
|
1181 |
"epoch": 2.05,
|
1182 |
"learning_rate": 2.2888888888888892e-07,
|
1183 |
+
"loss": 0.0219,
|
1184 |
"step": 4900
|
1185 |
},
|
1186 |
{
|
1187 |
"epoch": 2.06,
|
1188 |
"learning_rate": 1.7333333333333335e-07,
|
1189 |
+
"loss": 0.0174,
|
1190 |
"step": 4925
|
1191 |
},
|
1192 |
{
|
1193 |
"epoch": 2.07,
|
1194 |
"learning_rate": 1.1777777777777778e-07,
|
1195 |
+
"loss": 0.0177,
|
1196 |
"step": 4950
|
1197 |
},
|
1198 |
{
|
1199 |
"epoch": 2.08,
|
1200 |
"learning_rate": 6.222222222222223e-08,
|
1201 |
+
"loss": 0.02,
|
1202 |
"step": 4975
|
1203 |
},
|
1204 |
{
|
1205 |
"epoch": 2.09,
|
1206 |
"learning_rate": 6.666666666666667e-09,
|
1207 |
+
"loss": 0.0167,
|
1208 |
"step": 5000
|
1209 |
},
|
1210 |
{
|
1211 |
"epoch": 2.09,
|
1212 |
+
"eval_loss": 0.16790781915187836,
|
1213 |
+
"eval_runtime": 10745.9827,
|
1214 |
+
"eval_samples_per_second": 1.017,
|
1215 |
"eval_steps_per_second": 0.032,
|
1216 |
+
"eval_wer": 13.157993518599618,
|
1217 |
"step": 5000
|
1218 |
},
|
1219 |
{
|
1220 |
"epoch": 2.09,
|
1221 |
"step": 5000,
|
1222 |
"total_flos": 1.6325800221671424e+20,
|
1223 |
+
"train_loss": 0.06287762756943703,
|
1224 |
+
"train_runtime": 28287.0338,
|
1225 |
+
"train_samples_per_second": 5.656,
|
1226 |
"train_steps_per_second": 0.177
|
1227 |
}
|
1228 |
],
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 3579
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b5282cc5165b0df05a824067063b40ea1cb655e27e08a6ea55b182888ace152c
|
3 |
size 3579
|