End of training
Browse files
all_results.json
CHANGED
@@ -1,12 +1,12 @@
|
|
1 |
{
|
2 |
"epoch": 12.01,
|
3 |
-
"eval_loss": 0.
|
4 |
-
"eval_runtime":
|
5 |
-
"eval_samples_per_second":
|
6 |
-
"eval_steps_per_second": 0.
|
7 |
-
"eval_wer": 18.
|
8 |
-
"train_loss": 0.
|
9 |
-
"train_runtime":
|
10 |
-
"train_samples_per_second": 5.
|
11 |
-
"train_steps_per_second": 0.
|
12 |
}
|
|
|
1 |
{
|
2 |
"epoch": 12.01,
|
3 |
+
"eval_loss": 0.3812163174152374,
|
4 |
+
"eval_runtime": 951.9575,
|
5 |
+
"eval_samples_per_second": 6.924,
|
6 |
+
"eval_steps_per_second": 0.433,
|
7 |
+
"eval_wer": 18.775568066750374,
|
8 |
+
"train_loss": 0.106446673027426,
|
9 |
+
"train_runtime": 27653.1068,
|
10 |
+
"train_samples_per_second": 5.786,
|
11 |
+
"train_steps_per_second": 0.181
|
12 |
}
|
eval_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 12.01,
|
3 |
-
"eval_loss": 0.
|
4 |
-
"eval_runtime":
|
5 |
-
"eval_samples_per_second":
|
6 |
-
"eval_steps_per_second": 0.
|
7 |
-
"eval_wer": 18.
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 12.01,
|
3 |
+
"eval_loss": 0.3812163174152374,
|
4 |
+
"eval_runtime": 951.9575,
|
5 |
+
"eval_samples_per_second": 6.924,
|
6 |
+
"eval_steps_per_second": 0.433,
|
7 |
+
"eval_wer": 18.775568066750374
|
8 |
}
|
nohup.out
CHANGED
@@ -33935,3 +33935,25 @@ The progress bars may be unreliable.
|
|
33935 |
|
33936 |
|
33937 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
33935 |
|
33936 |
|
33937 |
|
33938 |
+
To https://huggingface.co/xezpeleta/whisper-small-eu-v2
|
33939 |
+
9ecd845..6d7e844 main -> main
|
33940 |
+
|
33941 |
+
07/20/2023 19:08:10 - WARNING - huggingface_hub.repository - To https://huggingface.co/xezpeleta/whisper-small-eu-v2
|
33942 |
+
9ecd845..6d7e844 main -> main
|
33943 |
+
|
33944 |
+
***** train metrics *****
|
33945 |
+
epoch = 12.01
|
33946 |
+
train_loss = 0.1064
|
33947 |
+
train_runtime = 7:40:53.10
|
33948 |
+
train_samples_per_second = 5.786
|
33949 |
+
train_steps_per_second = 0.181
|
33950 |
+
07/20/2023 19:08:13 - INFO - __main__ - *** Evaluate ***
|
33951 |
+
[INFO|trainer.py:2955] 2023-07-20 19:08:13,052 >> ***** Running Evaluation *****
|
33952 |
+
[INFO|trainer.py:2959] 2023-07-20 19:08:13,052 >> Num examples: Unknown
|
33953 |
+
[INFO|trainer.py:2960] 2023-07-20 19:08:13,052 >> Batch size = 16
|
33954 |
+
|
33955 |
+
[INFO|trainer_utils.py:689] 2023-07-20 19:08:16,031 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message.
|
33956 |
+
[INFO|trainer.py:2700] 2023-07-20 19:24:05,011 >> Saving model checkpoint to ./
|
33957 |
+
[INFO|configuration_utils.py:447] 2023-07-20 19:24:05,011 >> Configuration saved in ./config.json
|
33958 |
+
[INFO|modeling_utils.py:1693] 2023-07-20 19:24:06,334 >> Model weights saved in ./pytorch_model.bin
|
33959 |
+
[INFO|feature_extraction_utils.py:368] 2023-07-20 19:24:06,347 >> Feature extractor saved in ./preprocessor_config.json
|
runs/Jul20_11-05-05_tknadmin-System-Product-Name/events.out.tfevents.1689873845.tknadmin-System-Product-Name.2399.2
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a1eed888dec52a9e6ad526f063140bc6e06e8c499120c73eda9d1b02bfa5b501
|
3 |
+
size 358
|
train_results.json
CHANGED
@@ -1,7 +1,7 @@
|
|
1 |
{
|
2 |
"epoch": 12.01,
|
3 |
-
"train_loss": 0.
|
4 |
-
"train_runtime":
|
5 |
-
"train_samples_per_second": 5.
|
6 |
-
"train_steps_per_second": 0.
|
7 |
}
|
|
|
1 |
{
|
2 |
"epoch": 12.01,
|
3 |
+
"train_loss": 0.106446673027426,
|
4 |
+
"train_runtime": 27653.1068,
|
5 |
+
"train_samples_per_second": 5.786,
|
6 |
+
"train_steps_per_second": 0.181
|
7 |
}
|
trainer_state.json
CHANGED
@@ -1,7 +1,7 @@
|
|
1 |
{
|
2 |
-
"best_metric": 18.
|
3 |
-
"best_model_checkpoint": "./checkpoint-
|
4 |
-
"epoch": 12.
|
5 |
"global_step": 5000,
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
@@ -10,685 +10,685 @@
|
|
10 |
{
|
11 |
"epoch": 0.01,
|
12 |
"learning_rate": 4.4e-07,
|
13 |
-
"loss": 1.
|
14 |
"step": 25
|
15 |
},
|
16 |
{
|
17 |
"epoch": 0.01,
|
18 |
"learning_rate": 9.400000000000001e-07,
|
19 |
-
"loss": 1.
|
20 |
"step": 50
|
21 |
},
|
22 |
{
|
23 |
"epoch": 0.01,
|
24 |
"learning_rate": 1.44e-06,
|
25 |
-
"loss": 1.
|
26 |
"step": 75
|
27 |
},
|
28 |
{
|
29 |
"epoch": 0.02,
|
30 |
"learning_rate": 1.94e-06,
|
31 |
-
"loss": 0.
|
32 |
"step": 100
|
33 |
},
|
34 |
{
|
35 |
"epoch": 0.03,
|
36 |
"learning_rate": 2.4400000000000004e-06,
|
37 |
-
"loss": 0.
|
38 |
"step": 125
|
39 |
},
|
40 |
{
|
41 |
"epoch": 0.03,
|
42 |
"learning_rate": 2.9400000000000002e-06,
|
43 |
-
"loss": 0.
|
44 |
"step": 150
|
45 |
},
|
46 |
{
|
47 |
"epoch": 0.04,
|
48 |
"learning_rate": 3.44e-06,
|
49 |
-
"loss": 0.
|
50 |
"step": 175
|
51 |
},
|
52 |
{
|
53 |
"epoch": 0.04,
|
54 |
"learning_rate": 3.94e-06,
|
55 |
-
"loss": 0.
|
56 |
"step": 200
|
57 |
},
|
58 |
{
|
59 |
"epoch": 0.04,
|
60 |
"learning_rate": 4.440000000000001e-06,
|
61 |
-
"loss": 0.
|
62 |
"step": 225
|
63 |
},
|
64 |
{
|
65 |
"epoch": 0.05,
|
66 |
"learning_rate": 4.94e-06,
|
67 |
-
"loss": 0.
|
68 |
"step": 250
|
69 |
},
|
70 |
{
|
71 |
"epoch": 0.06,
|
72 |
"learning_rate": 5.4400000000000004e-06,
|
73 |
-
"loss": 0.
|
74 |
"step": 275
|
75 |
},
|
76 |
{
|
77 |
"epoch": 0.06,
|
78 |
"learning_rate": 5.94e-06,
|
79 |
-
"loss": 0.
|
80 |
"step": 300
|
81 |
},
|
82 |
{
|
83 |
"epoch": 0.07,
|
84 |
"learning_rate": 6.440000000000001e-06,
|
85 |
-
"loss": 0.
|
86 |
"step": 325
|
87 |
},
|
88 |
{
|
89 |
"epoch": 0.07,
|
90 |
"learning_rate": 6.9400000000000005e-06,
|
91 |
-
"loss": 0.
|
92 |
"step": 350
|
93 |
},
|
94 |
{
|
95 |
"epoch": 0.07,
|
96 |
"learning_rate": 7.440000000000001e-06,
|
97 |
-
"loss": 0.
|
98 |
"step": 375
|
99 |
},
|
100 |
{
|
101 |
"epoch": 0.08,
|
102 |
"learning_rate": 7.94e-06,
|
103 |
-
"loss": 0.
|
104 |
"step": 400
|
105 |
},
|
106 |
{
|
107 |
"epoch": 1.0,
|
108 |
"learning_rate": 8.44e-06,
|
109 |
-
"loss": 0.
|
110 |
"step": 425
|
111 |
},
|
112 |
{
|
113 |
"epoch": 1.01,
|
114 |
"learning_rate": 8.94e-06,
|
115 |
-
"loss": 0.
|
116 |
"step": 450
|
117 |
},
|
118 |
{
|
119 |
"epoch": 1.01,
|
120 |
"learning_rate": 9.440000000000001e-06,
|
121 |
-
"loss": 0.
|
122 |
"step": 475
|
123 |
},
|
124 |
{
|
125 |
"epoch": 1.02,
|
126 |
"learning_rate": 9.940000000000001e-06,
|
127 |
-
"loss": 0.
|
128 |
"step": 500
|
129 |
},
|
130 |
{
|
131 |
"epoch": 1.02,
|
132 |
"learning_rate": 9.951111111111111e-06,
|
133 |
-
"loss": 0.
|
134 |
"step": 525
|
135 |
},
|
136 |
{
|
137 |
"epoch": 1.03,
|
138 |
"learning_rate": 9.895555555555557e-06,
|
139 |
-
"loss": 0.
|
140 |
"step": 550
|
141 |
},
|
142 |
{
|
143 |
"epoch": 1.03,
|
144 |
"learning_rate": 9.84e-06,
|
145 |
-
"loss": 0.
|
146 |
"step": 575
|
147 |
},
|
148 |
{
|
149 |
"epoch": 1.04,
|
150 |
"learning_rate": 9.784444444444445e-06,
|
151 |
-
"loss": 0.
|
152 |
"step": 600
|
153 |
},
|
154 |
{
|
155 |
"epoch": 1.04,
|
156 |
"learning_rate": 9.72888888888889e-06,
|
157 |
-
"loss": 0.
|
158 |
"step": 625
|
159 |
},
|
160 |
{
|
161 |
"epoch": 1.05,
|
162 |
"learning_rate": 9.673333333333334e-06,
|
163 |
-
"loss": 0.
|
164 |
"step": 650
|
165 |
},
|
166 |
{
|
167 |
"epoch": 1.05,
|
168 |
"learning_rate": 9.617777777777778e-06,
|
169 |
-
"loss": 0.
|
170 |
"step": 675
|
171 |
},
|
172 |
{
|
173 |
"epoch": 1.06,
|
174 |
"learning_rate": 9.562222222222223e-06,
|
175 |
-
"loss": 0.
|
176 |
"step": 700
|
177 |
},
|
178 |
{
|
179 |
"epoch": 1.06,
|
180 |
"learning_rate": 9.506666666666667e-06,
|
181 |
-
"loss": 0.
|
182 |
"step": 725
|
183 |
},
|
184 |
{
|
185 |
"epoch": 1.07,
|
186 |
"learning_rate": 9.451111111111112e-06,
|
187 |
-
"loss": 0.
|
188 |
"step": 750
|
189 |
},
|
190 |
{
|
191 |
"epoch": 1.07,
|
192 |
"learning_rate": 9.395555555555556e-06,
|
193 |
-
"loss": 0.
|
194 |
"step": 775
|
195 |
},
|
196 |
{
|
197 |
"epoch": 1.08,
|
198 |
"learning_rate": 9.340000000000002e-06,
|
199 |
-
"loss": 0.
|
200 |
"step": 800
|
201 |
},
|
202 |
{
|
203 |
"epoch": 2.0,
|
204 |
"learning_rate": 9.284444444444444e-06,
|
205 |
-
"loss": 0.
|
206 |
"step": 825
|
207 |
},
|
208 |
{
|
209 |
"epoch": 2.01,
|
210 |
"learning_rate": 9.22888888888889e-06,
|
211 |
-
"loss": 0.
|
212 |
"step": 850
|
213 |
},
|
214 |
{
|
215 |
"epoch": 2.01,
|
216 |
"learning_rate": 9.173333333333334e-06,
|
217 |
-
"loss": 0.
|
218 |
"step": 875
|
219 |
},
|
220 |
{
|
221 |
"epoch": 2.02,
|
222 |
"learning_rate": 9.117777777777778e-06,
|
223 |
-
"loss": 0.
|
224 |
"step": 900
|
225 |
},
|
226 |
{
|
227 |
"epoch": 2.02,
|
228 |
"learning_rate": 9.062222222222224e-06,
|
229 |
-
"loss": 0.
|
230 |
"step": 925
|
231 |
},
|
232 |
{
|
233 |
"epoch": 2.03,
|
234 |
"learning_rate": 9.006666666666666e-06,
|
235 |
-
"loss": 0.
|
236 |
"step": 950
|
237 |
},
|
238 |
{
|
239 |
"epoch": 2.03,
|
240 |
"learning_rate": 8.951111111111112e-06,
|
241 |
-
"loss": 0.
|
242 |
"step": 975
|
243 |
},
|
244 |
{
|
245 |
"epoch": 2.04,
|
246 |
"learning_rate": 8.895555555555556e-06,
|
247 |
-
"loss": 0.
|
248 |
"step": 1000
|
249 |
},
|
250 |
{
|
251 |
"epoch": 2.04,
|
252 |
-
"eval_loss": 0.
|
253 |
-
"eval_runtime":
|
254 |
-
"eval_samples_per_second":
|
255 |
-
"eval_steps_per_second": 0.
|
256 |
-
"eval_wer": 22.
|
257 |
"step": 1000
|
258 |
},
|
259 |
{
|
260 |
"epoch": 2.04,
|
261 |
"learning_rate": 8.84e-06,
|
262 |
-
"loss": 0.
|
263 |
"step": 1025
|
264 |
},
|
265 |
{
|
266 |
"epoch": 2.05,
|
267 |
"learning_rate": 8.784444444444446e-06,
|
268 |
-
"loss": 0.
|
269 |
"step": 1050
|
270 |
},
|
271 |
{
|
272 |
"epoch": 2.05,
|
273 |
"learning_rate": 8.72888888888889e-06,
|
274 |
-
"loss": 0.
|
275 |
"step": 1075
|
276 |
},
|
277 |
{
|
278 |
"epoch": 2.06,
|
279 |
"learning_rate": 8.673333333333334e-06,
|
280 |
-
"loss": 0.
|
281 |
"step": 1100
|
282 |
},
|
283 |
{
|
284 |
"epoch": 2.06,
|
285 |
"learning_rate": 8.617777777777778e-06,
|
286 |
-
"loss": 0.
|
287 |
"step": 1125
|
288 |
},
|
289 |
{
|
290 |
"epoch": 2.07,
|
291 |
"learning_rate": 8.562222222222224e-06,
|
292 |
-
"loss": 0.
|
293 |
"step": 1150
|
294 |
},
|
295 |
{
|
296 |
"epoch": 2.07,
|
297 |
"learning_rate": 8.506666666666668e-06,
|
298 |
-
"loss": 0.
|
299 |
"step": 1175
|
300 |
},
|
301 |
{
|
302 |
"epoch": 2.08,
|
303 |
"learning_rate": 8.451111111111112e-06,
|
304 |
-
"loss": 0.
|
305 |
"step": 1200
|
306 |
},
|
307 |
{
|
308 |
"epoch": 2.08,
|
309 |
"learning_rate": 8.395555555555557e-06,
|
310 |
-
"loss": 0.
|
311 |
"step": 1225
|
312 |
},
|
313 |
{
|
314 |
"epoch": 3.0,
|
315 |
"learning_rate": 8.34e-06,
|
316 |
-
"loss": 0.
|
317 |
"step": 1250
|
318 |
},
|
319 |
{
|
320 |
"epoch": 3.01,
|
321 |
"learning_rate": 8.284444444444446e-06,
|
322 |
-
"loss": 0.
|
323 |
"step": 1275
|
324 |
},
|
325 |
{
|
326 |
"epoch": 3.01,
|
327 |
"learning_rate": 8.22888888888889e-06,
|
328 |
-
"loss": 0.
|
329 |
"step": 1300
|
330 |
},
|
331 |
{
|
332 |
"epoch": 3.02,
|
333 |
"learning_rate": 8.173333333333334e-06,
|
334 |
-
"loss": 0.
|
335 |
"step": 1325
|
336 |
},
|
337 |
{
|
338 |
"epoch": 3.02,
|
339 |
"learning_rate": 8.11777777777778e-06,
|
340 |
-
"loss": 0.
|
341 |
"step": 1350
|
342 |
},
|
343 |
{
|
344 |
"epoch": 3.03,
|
345 |
"learning_rate": 8.062222222222222e-06,
|
346 |
-
"loss": 0.
|
347 |
"step": 1375
|
348 |
},
|
349 |
{
|
350 |
"epoch": 3.03,
|
351 |
"learning_rate": 8.006666666666667e-06,
|
352 |
-
"loss": 0.
|
353 |
"step": 1400
|
354 |
},
|
355 |
{
|
356 |
"epoch": 3.04,
|
357 |
"learning_rate": 7.951111111111111e-06,
|
358 |
-
"loss": 0.
|
359 |
"step": 1425
|
360 |
},
|
361 |
{
|
362 |
"epoch": 3.04,
|
363 |
"learning_rate": 7.895555555555557e-06,
|
364 |
-
"loss": 0.
|
365 |
"step": 1450
|
366 |
},
|
367 |
{
|
368 |
"epoch": 3.05,
|
369 |
"learning_rate": 7.840000000000001e-06,
|
370 |
-
"loss": 0.
|
371 |
"step": 1475
|
372 |
},
|
373 |
{
|
374 |
"epoch": 3.05,
|
375 |
"learning_rate": 7.784444444444445e-06,
|
376 |
-
"loss": 0.
|
377 |
"step": 1500
|
378 |
},
|
379 |
{
|
380 |
"epoch": 3.06,
|
381 |
"learning_rate": 7.72888888888889e-06,
|
382 |
-
"loss": 0.
|
383 |
"step": 1525
|
384 |
},
|
385 |
{
|
386 |
"epoch": 3.06,
|
387 |
"learning_rate": 7.673333333333333e-06,
|
388 |
-
"loss": 0.
|
389 |
"step": 1550
|
390 |
},
|
391 |
{
|
392 |
"epoch": 3.07,
|
393 |
"learning_rate": 7.617777777777778e-06,
|
394 |
-
"loss": 0.
|
395 |
"step": 1575
|
396 |
},
|
397 |
{
|
398 |
"epoch": 3.07,
|
399 |
"learning_rate": 7.562222222222223e-06,
|
400 |
-
"loss": 0.
|
401 |
"step": 1600
|
402 |
},
|
403 |
{
|
404 |
"epoch": 3.08,
|
405 |
"learning_rate": 7.506666666666668e-06,
|
406 |
-
"loss": 0.
|
407 |
"step": 1625
|
408 |
},
|
409 |
{
|
410 |
"epoch": 4.0,
|
411 |
"learning_rate": 7.451111111111111e-06,
|
412 |
-
"loss": 0.
|
413 |
"step": 1650
|
414 |
},
|
415 |
{
|
416 |
"epoch": 4.01,
|
417 |
"learning_rate": 7.395555555555556e-06,
|
418 |
-
"loss": 0.
|
419 |
"step": 1675
|
420 |
},
|
421 |
{
|
422 |
"epoch": 4.01,
|
423 |
"learning_rate": 7.340000000000001e-06,
|
424 |
-
"loss": 0.
|
425 |
"step": 1700
|
426 |
},
|
427 |
{
|
428 |
"epoch": 4.02,
|
429 |
"learning_rate": 7.284444444444445e-06,
|
430 |
-
"loss": 0.
|
431 |
"step": 1725
|
432 |
},
|
433 |
{
|
434 |
"epoch": 4.02,
|
435 |
"learning_rate": 7.22888888888889e-06,
|
436 |
-
"loss": 0.
|
437 |
"step": 1750
|
438 |
},
|
439 |
{
|
440 |
"epoch": 4.03,
|
441 |
"learning_rate": 7.173333333333335e-06,
|
442 |
-
"loss": 0.
|
443 |
"step": 1775
|
444 |
},
|
445 |
{
|
446 |
"epoch": 4.03,
|
447 |
"learning_rate": 7.117777777777778e-06,
|
448 |
-
"loss": 0.
|
449 |
"step": 1800
|
450 |
},
|
451 |
{
|
452 |
"epoch": 4.04,
|
453 |
"learning_rate": 7.062222222222223e-06,
|
454 |
-
"loss": 0.
|
455 |
"step": 1825
|
456 |
},
|
457 |
{
|
458 |
"epoch": 4.04,
|
459 |
"learning_rate": 7.006666666666667e-06,
|
460 |
-
"loss": 0.
|
461 |
"step": 1850
|
462 |
},
|
463 |
{
|
464 |
"epoch": 4.05,
|
465 |
"learning_rate": 6.951111111111112e-06,
|
466 |
-
"loss": 0.
|
467 |
"step": 1875
|
468 |
},
|
469 |
{
|
470 |
"epoch": 4.05,
|
471 |
"learning_rate": 6.8955555555555565e-06,
|
472 |
-
"loss": 0.
|
473 |
"step": 1900
|
474 |
},
|
475 |
{
|
476 |
"epoch": 4.06,
|
477 |
"learning_rate": 6.8400000000000014e-06,
|
478 |
-
"loss": 0.
|
479 |
"step": 1925
|
480 |
},
|
481 |
{
|
482 |
"epoch": 4.06,
|
483 |
"learning_rate": 6.784444444444445e-06,
|
484 |
-
"loss": 0.
|
485 |
"step": 1950
|
486 |
},
|
487 |
{
|
488 |
"epoch": 4.07,
|
489 |
"learning_rate": 6.7288888888888895e-06,
|
490 |
-
"loss": 0.
|
491 |
"step": 1975
|
492 |
},
|
493 |
{
|
494 |
"epoch": 4.07,
|
495 |
"learning_rate": 6.6733333333333335e-06,
|
496 |
-
"loss": 0.
|
497 |
"step": 2000
|
498 |
},
|
499 |
{
|
500 |
"epoch": 4.07,
|
501 |
-
"eval_loss": 0.
|
502 |
-
"eval_runtime":
|
503 |
-
"eval_samples_per_second":
|
504 |
-
"eval_steps_per_second": 0.
|
505 |
-
"eval_wer":
|
506 |
"step": 2000
|
507 |
},
|
508 |
{
|
509 |
"epoch": 4.08,
|
510 |
"learning_rate": 6.617777777777778e-06,
|
511 |
-
"loss": 0.
|
512 |
"step": 2025
|
513 |
},
|
514 |
{
|
515 |
"epoch": 4.08,
|
516 |
"learning_rate": 6.562222222222223e-06,
|
517 |
-
"loss": 0.
|
518 |
"step": 2050
|
519 |
},
|
520 |
{
|
521 |
"epoch": 5.0,
|
522 |
"learning_rate": 6.5066666666666665e-06,
|
523 |
-
"loss": 0.
|
524 |
"step": 2075
|
525 |
},
|
526 |
{
|
527 |
"epoch": 5.01,
|
528 |
"learning_rate": 6.451111111111111e-06,
|
529 |
-
"loss": 0.
|
530 |
"step": 2100
|
531 |
},
|
532 |
{
|
533 |
"epoch": 5.01,
|
534 |
"learning_rate": 6.395555555555556e-06,
|
535 |
-
"loss": 0.
|
536 |
"step": 2125
|
537 |
},
|
538 |
{
|
539 |
"epoch": 5.02,
|
540 |
"learning_rate": 6.34e-06,
|
541 |
-
"loss": 0.
|
542 |
"step": 2150
|
543 |
},
|
544 |
{
|
545 |
"epoch": 5.02,
|
546 |
"learning_rate": 6.284444444444445e-06,
|
547 |
-
"loss": 0.
|
548 |
"step": 2175
|
549 |
},
|
550 |
{
|
551 |
"epoch": 5.03,
|
552 |
"learning_rate": 6.22888888888889e-06,
|
553 |
-
"loss": 0.
|
554 |
"step": 2200
|
555 |
},
|
556 |
{
|
557 |
"epoch": 5.03,
|
558 |
"learning_rate": 6.173333333333333e-06,
|
559 |
-
"loss": 0.
|
560 |
"step": 2225
|
561 |
},
|
562 |
{
|
563 |
"epoch": 5.04,
|
564 |
"learning_rate": 6.117777777777778e-06,
|
565 |
-
"loss": 0.
|
566 |
"step": 2250
|
567 |
},
|
568 |
{
|
569 |
"epoch": 5.04,
|
570 |
"learning_rate": 6.062222222222223e-06,
|
571 |
-
"loss": 0.
|
572 |
"step": 2275
|
573 |
},
|
574 |
{
|
575 |
"epoch": 5.05,
|
576 |
"learning_rate": 6.006666666666667e-06,
|
577 |
-
"loss": 0.
|
578 |
"step": 2300
|
579 |
},
|
580 |
{
|
581 |
"epoch": 5.05,
|
582 |
"learning_rate": 5.951111111111112e-06,
|
583 |
-
"loss": 0.
|
584 |
"step": 2325
|
585 |
},
|
586 |
{
|
587 |
"epoch": 5.06,
|
588 |
"learning_rate": 5.895555555555557e-06,
|
589 |
-
"loss": 0.
|
590 |
"step": 2350
|
591 |
},
|
592 |
{
|
593 |
"epoch": 5.06,
|
594 |
"learning_rate": 5.84e-06,
|
595 |
-
"loss": 0.
|
596 |
"step": 2375
|
597 |
},
|
598 |
{
|
599 |
"epoch": 5.07,
|
600 |
"learning_rate": 5.784444444444445e-06,
|
601 |
-
"loss": 0.
|
602 |
"step": 2400
|
603 |
},
|
604 |
{
|
605 |
"epoch": 5.07,
|
606 |
"learning_rate": 5.72888888888889e-06,
|
607 |
-
"loss": 0.
|
608 |
"step": 2425
|
609 |
},
|
610 |
{
|
611 |
"epoch": 5.08,
|
612 |
"learning_rate": 5.673333333333334e-06,
|
613 |
-
"loss": 0.
|
614 |
"step": 2450
|
615 |
},
|
616 |
{
|
617 |
"epoch": 6.0,
|
618 |
"learning_rate": 5.617777777777779e-06,
|
619 |
-
"loss": 0.
|
620 |
"step": 2475
|
621 |
},
|
622 |
{
|
623 |
"epoch": 6.01,
|
624 |
"learning_rate": 5.562222222222222e-06,
|
625 |
-
"loss": 0.
|
626 |
"step": 2500
|
627 |
},
|
628 |
{
|
629 |
"epoch": 6.01,
|
630 |
"learning_rate": 5.506666666666667e-06,
|
631 |
-
"loss": 0.
|
632 |
"step": 2525
|
633 |
},
|
634 |
{
|
635 |
"epoch": 6.02,
|
636 |
"learning_rate": 5.451111111111112e-06,
|
637 |
-
"loss": 0.
|
638 |
"step": 2550
|
639 |
},
|
640 |
{
|
641 |
"epoch": 6.02,
|
642 |
"learning_rate": 5.3955555555555565e-06,
|
643 |
-
"loss": 0.
|
644 |
"step": 2575
|
645 |
},
|
646 |
{
|
647 |
"epoch": 6.03,
|
648 |
"learning_rate": 5.3400000000000005e-06,
|
649 |
-
"loss": 0.
|
650 |
"step": 2600
|
651 |
},
|
652 |
{
|
653 |
"epoch": 6.03,
|
654 |
"learning_rate": 5.2844444444444454e-06,
|
655 |
-
"loss": 0.
|
656 |
"step": 2625
|
657 |
},
|
658 |
{
|
659 |
"epoch": 6.04,
|
660 |
"learning_rate": 5.228888888888889e-06,
|
661 |
-
"loss": 0.
|
662 |
"step": 2650
|
663 |
},
|
664 |
{
|
665 |
"epoch": 6.04,
|
666 |
"learning_rate": 5.1733333333333335e-06,
|
667 |
-
"loss": 0.
|
668 |
"step": 2675
|
669 |
},
|
670 |
{
|
671 |
"epoch": 6.05,
|
672 |
"learning_rate": 5.117777777777778e-06,
|
673 |
-
"loss": 0.
|
674 |
"step": 2700
|
675 |
},
|
676 |
{
|
677 |
"epoch": 6.05,
|
678 |
"learning_rate": 5.062222222222222e-06,
|
679 |
-
"loss": 0.
|
680 |
"step": 2725
|
681 |
},
|
682 |
{
|
683 |
"epoch": 6.06,
|
684 |
"learning_rate": 5.006666666666667e-06,
|
685 |
-
"loss": 0.
|
686 |
"step": 2750
|
687 |
},
|
688 |
{
|
689 |
"epoch": 6.06,
|
690 |
"learning_rate": 4.951111111111111e-06,
|
691 |
-
"loss": 0.
|
692 |
"step": 2775
|
693 |
},
|
694 |
{
|
@@ -700,94 +700,94 @@
|
|
700 |
{
|
701 |
"epoch": 6.07,
|
702 |
"learning_rate": 4.84e-06,
|
703 |
-
"loss": 0.
|
704 |
"step": 2825
|
705 |
},
|
706 |
{
|
707 |
"epoch": 6.08,
|
708 |
"learning_rate": 4.784444444444445e-06,
|
709 |
-
"loss": 0.
|
710 |
"step": 2850
|
711 |
},
|
712 |
{
|
713 |
"epoch": 6.08,
|
714 |
"learning_rate": 4.728888888888889e-06,
|
715 |
-
"loss": 0.
|
716 |
"step": 2875
|
717 |
},
|
718 |
{
|
719 |
"epoch": 7.0,
|
720 |
"learning_rate": 4.673333333333333e-06,
|
721 |
-
"loss": 0.
|
722 |
"step": 2900
|
723 |
},
|
724 |
{
|
725 |
"epoch": 7.01,
|
726 |
"learning_rate": 4.617777777777778e-06,
|
727 |
-
"loss": 0.
|
728 |
"step": 2925
|
729 |
},
|
730 |
{
|
731 |
"epoch": 7.01,
|
732 |
"learning_rate": 4.562222222222222e-06,
|
733 |
-
"loss": 0.
|
734 |
"step": 2950
|
735 |
},
|
736 |
{
|
737 |
"epoch": 7.02,
|
738 |
"learning_rate": 4.506666666666667e-06,
|
739 |
-
"loss": 0.
|
740 |
"step": 2975
|
741 |
},
|
742 |
{
|
743 |
"epoch": 7.02,
|
744 |
"learning_rate": 4.451111111111112e-06,
|
745 |
-
"loss": 0.
|
746 |
"step": 3000
|
747 |
},
|
748 |
{
|
749 |
"epoch": 7.02,
|
750 |
-
"eval_loss": 0.
|
751 |
-
"eval_runtime":
|
752 |
-
"eval_samples_per_second":
|
753 |
-
"eval_steps_per_second": 0.
|
754 |
-
"eval_wer": 18.
|
755 |
"step": 3000
|
756 |
},
|
757 |
{
|
758 |
"epoch": 7.03,
|
759 |
"learning_rate": 4.395555555555556e-06,
|
760 |
-
"loss": 0.
|
761 |
"step": 3025
|
762 |
},
|
763 |
{
|
764 |
"epoch": 7.03,
|
765 |
"learning_rate": 4.34e-06,
|
766 |
-
"loss": 0.
|
767 |
"step": 3050
|
768 |
},
|
769 |
{
|
770 |
"epoch": 7.04,
|
771 |
"learning_rate": 4.284444444444445e-06,
|
772 |
-
"loss": 0.
|
773 |
"step": 3075
|
774 |
},
|
775 |
{
|
776 |
"epoch": 7.04,
|
777 |
"learning_rate": 4.228888888888889e-06,
|
778 |
-
"loss": 0.
|
779 |
"step": 3100
|
780 |
},
|
781 |
{
|
782 |
"epoch": 7.05,
|
783 |
"learning_rate": 4.173333333333334e-06,
|
784 |
-
"loss": 0.
|
785 |
"step": 3125
|
786 |
},
|
787 |
{
|
788 |
"epoch": 7.05,
|
789 |
"learning_rate": 4.117777777777779e-06,
|
790 |
-
"loss": 0.
|
791 |
"step": 3150
|
792 |
},
|
793 |
{
|
@@ -805,37 +805,37 @@
|
|
805 |
{
|
806 |
"epoch": 7.07,
|
807 |
"learning_rate": 3.951111111111112e-06,
|
808 |
-
"loss": 0.
|
809 |
"step": 3225
|
810 |
},
|
811 |
{
|
812 |
"epoch": 7.07,
|
813 |
"learning_rate": 3.895555555555556e-06,
|
814 |
-
"loss": 0.
|
815 |
"step": 3250
|
816 |
},
|
817 |
{
|
818 |
"epoch": 7.08,
|
819 |
"learning_rate": 3.8400000000000005e-06,
|
820 |
-
"loss": 0.
|
821 |
"step": 3275
|
822 |
},
|
823 |
{
|
824 |
"epoch": 8.0,
|
825 |
"learning_rate": 3.784444444444445e-06,
|
826 |
-
"loss": 0.
|
827 |
"step": 3300
|
828 |
},
|
829 |
{
|
830 |
"epoch": 8.01,
|
831 |
"learning_rate": 3.728888888888889e-06,
|
832 |
-
"loss": 0.
|
833 |
"step": 3325
|
834 |
},
|
835 |
{
|
836 |
"epoch": 8.01,
|
837 |
"learning_rate": 3.673333333333334e-06,
|
838 |
-
"loss": 0.
|
839 |
"step": 3350
|
840 |
},
|
841 |
{
|
@@ -847,13 +847,13 @@
|
|
847 |
{
|
848 |
"epoch": 8.02,
|
849 |
"learning_rate": 3.5622222222222224e-06,
|
850 |
-
"loss": 0.
|
851 |
"step": 3400
|
852 |
},
|
853 |
{
|
854 |
"epoch": 8.03,
|
855 |
"learning_rate": 3.5066666666666673e-06,
|
856 |
-
"loss": 0.
|
857 |
"step": 3425
|
858 |
},
|
859 |
{
|
@@ -865,7 +865,7 @@
|
|
865 |
{
|
866 |
"epoch": 8.04,
|
867 |
"learning_rate": 3.3955555555555558e-06,
|
868 |
-
"loss": 0.
|
869 |
"step": 3475
|
870 |
},
|
871 |
{
|
@@ -877,101 +877,101 @@
|
|
877 |
{
|
878 |
"epoch": 8.05,
|
879 |
"learning_rate": 3.2844444444444447e-06,
|
880 |
-
"loss": 0.
|
881 |
"step": 3525
|
882 |
},
|
883 |
{
|
884 |
"epoch": 8.05,
|
885 |
"learning_rate": 3.228888888888889e-06,
|
886 |
-
"loss": 0.
|
887 |
"step": 3550
|
888 |
},
|
889 |
{
|
890 |
"epoch": 8.06,
|
891 |
"learning_rate": 3.173333333333334e-06,
|
892 |
-
"loss": 0.
|
893 |
"step": 3575
|
894 |
},
|
895 |
{
|
896 |
"epoch": 8.06,
|
897 |
"learning_rate": 3.117777777777778e-06,
|
898 |
-
"loss": 0.
|
899 |
"step": 3600
|
900 |
},
|
901 |
{
|
902 |
"epoch": 8.07,
|
903 |
"learning_rate": 3.0622222222222225e-06,
|
904 |
-
"loss": 0.
|
905 |
"step": 3625
|
906 |
},
|
907 |
{
|
908 |
"epoch": 8.07,
|
909 |
"learning_rate": 3.0066666666666674e-06,
|
910 |
-
"loss": 0.
|
911 |
"step": 3650
|
912 |
},
|
913 |
{
|
914 |
"epoch": 8.08,
|
915 |
"learning_rate": 2.9511111111111114e-06,
|
916 |
-
"loss": 0.
|
917 |
"step": 3675
|
918 |
},
|
919 |
{
|
920 |
-
"epoch":
|
921 |
"learning_rate": 2.895555555555556e-06,
|
922 |
"loss": 0.0019,
|
923 |
"step": 3700
|
924 |
},
|
925 |
{
|
926 |
-
"epoch": 9.
|
927 |
"learning_rate": 2.84e-06,
|
928 |
-
"loss": 0.
|
929 |
"step": 3725
|
930 |
},
|
931 |
{
|
932 |
"epoch": 9.01,
|
933 |
"learning_rate": 2.784444444444445e-06,
|
934 |
-
"loss": 0.
|
935 |
"step": 3750
|
936 |
},
|
937 |
{
|
938 |
-
"epoch": 9.
|
939 |
"learning_rate": 2.7288888888888893e-06,
|
940 |
-
"loss": 0.
|
941 |
"step": 3775
|
942 |
},
|
943 |
{
|
944 |
"epoch": 9.02,
|
945 |
"learning_rate": 2.6733333333333333e-06,
|
946 |
-
"loss": 0.
|
947 |
"step": 3800
|
948 |
},
|
949 |
{
|
950 |
-
"epoch": 9.
|
951 |
"learning_rate": 2.617777777777778e-06,
|
952 |
-
"loss": 0.
|
953 |
"step": 3825
|
954 |
},
|
955 |
{
|
956 |
"epoch": 9.03,
|
957 |
"learning_rate": 2.5622222222222226e-06,
|
958 |
-
"loss": 0.
|
959 |
"step": 3850
|
960 |
},
|
961 |
{
|
962 |
-
"epoch": 9.
|
963 |
"learning_rate": 2.5066666666666667e-06,
|
964 |
-
"loss": 0.
|
965 |
"step": 3875
|
966 |
},
|
967 |
{
|
968 |
"epoch": 9.04,
|
969 |
"learning_rate": 2.451111111111111e-06,
|
970 |
-
"loss": 0.
|
971 |
"step": 3900
|
972 |
},
|
973 |
{
|
974 |
-
"epoch": 9.
|
975 |
"learning_rate": 2.3955555555555556e-06,
|
976 |
"loss": 0.0017,
|
977 |
"step": 3925
|
@@ -979,11 +979,11 @@
|
|
979 |
{
|
980 |
"epoch": 9.05,
|
981 |
"learning_rate": 2.3400000000000005e-06,
|
982 |
-
"loss": 0.
|
983 |
"step": 3950
|
984 |
},
|
985 |
{
|
986 |
-
"epoch": 9.
|
987 |
"learning_rate": 2.2844444444444445e-06,
|
988 |
"loss": 0.0017,
|
989 |
"step": 3975
|
@@ -991,20 +991,20 @@
|
|
991 |
{
|
992 |
"epoch": 9.06,
|
993 |
"learning_rate": 2.228888888888889e-06,
|
994 |
-
"loss": 0.
|
995 |
"step": 4000
|
996 |
},
|
997 |
{
|
998 |
"epoch": 9.06,
|
999 |
-
"eval_loss": 0.
|
1000 |
-
"eval_runtime":
|
1001 |
-
"eval_samples_per_second":
|
1002 |
-
"eval_steps_per_second": 0.
|
1003 |
-
"eval_wer": 18.
|
1004 |
"step": 4000
|
1005 |
},
|
1006 |
{
|
1007 |
-
"epoch": 9.
|
1008 |
"learning_rate": 2.1733333333333334e-06,
|
1009 |
"loss": 0.0016,
|
1010 |
"step": 4025
|
@@ -1016,7 +1016,7 @@
|
|
1016 |
"step": 4050
|
1017 |
},
|
1018 |
{
|
1019 |
-
"epoch": 9.
|
1020 |
"learning_rate": 2.0622222222222223e-06,
|
1021 |
"loss": 0.0015,
|
1022 |
"step": 4075
|
@@ -1030,7 +1030,7 @@
|
|
1030 |
{
|
1031 |
"epoch": 10.0,
|
1032 |
"learning_rate": 1.9511111111111113e-06,
|
1033 |
-
"loss": 0.
|
1034 |
"step": 4125
|
1035 |
},
|
1036 |
{
|
@@ -1054,7 +1054,7 @@
|
|
1054 |
{
|
1055 |
"epoch": 10.02,
|
1056 |
"learning_rate": 1.728888888888889e-06,
|
1057 |
-
"loss": 0.
|
1058 |
"step": 4225
|
1059 |
},
|
1060 |
{
|
@@ -1066,7 +1066,7 @@
|
|
1066 |
{
|
1067 |
"epoch": 10.03,
|
1068 |
"learning_rate": 1.6177777777777778e-06,
|
1069 |
-
"loss": 0.
|
1070 |
"step": 4275
|
1071 |
},
|
1072 |
{
|
@@ -1078,7 +1078,7 @@
|
|
1078 |
{
|
1079 |
"epoch": 10.04,
|
1080 |
"learning_rate": 1.506666666666667e-06,
|
1081 |
-
"loss": 0.
|
1082 |
"step": 4325
|
1083 |
},
|
1084 |
{
|
@@ -1124,13 +1124,13 @@
|
|
1124 |
"step": 4500
|
1125 |
},
|
1126 |
{
|
1127 |
-
"epoch":
|
1128 |
"learning_rate": 1.0622222222222222e-06,
|
1129 |
-
"loss": 0.
|
1130 |
"step": 4525
|
1131 |
},
|
1132 |
{
|
1133 |
-
"epoch": 11.
|
1134 |
"learning_rate": 1.0066666666666668e-06,
|
1135 |
"loss": 0.0014,
|
1136 |
"step": 4550
|
@@ -1138,11 +1138,11 @@
|
|
1138 |
{
|
1139 |
"epoch": 11.01,
|
1140 |
"learning_rate": 9.511111111111111e-07,
|
1141 |
-
"loss": 0.
|
1142 |
"step": 4575
|
1143 |
},
|
1144 |
{
|
1145 |
-
"epoch": 11.
|
1146 |
"learning_rate": 8.955555555555557e-07,
|
1147 |
"loss": 0.0013,
|
1148 |
"step": 4600
|
@@ -1154,19 +1154,19 @@
|
|
1154 |
"step": 4625
|
1155 |
},
|
1156 |
{
|
1157 |
-
"epoch": 11.
|
1158 |
"learning_rate": 7.844444444444445e-07,
|
1159 |
-
"loss": 0.
|
1160 |
"step": 4650
|
1161 |
},
|
1162 |
{
|
1163 |
"epoch": 11.03,
|
1164 |
"learning_rate": 7.28888888888889e-07,
|
1165 |
-
"loss": 0.
|
1166 |
"step": 4675
|
1167 |
},
|
1168 |
{
|
1169 |
-
"epoch": 11.
|
1170 |
"learning_rate": 6.733333333333334e-07,
|
1171 |
"loss": 0.0013,
|
1172 |
"step": 4700
|
@@ -1178,7 +1178,7 @@
|
|
1178 |
"step": 4725
|
1179 |
},
|
1180 |
{
|
1181 |
-
"epoch": 11.
|
1182 |
"learning_rate": 5.622222222222223e-07,
|
1183 |
"loss": 0.0013,
|
1184 |
"step": 4750
|
@@ -1190,7 +1190,7 @@
|
|
1190 |
"step": 4775
|
1191 |
},
|
1192 |
{
|
1193 |
-
"epoch": 11.
|
1194 |
"learning_rate": 4.511111111111111e-07,
|
1195 |
"loss": 0.0013,
|
1196 |
"step": 4800
|
@@ -1202,19 +1202,19 @@
|
|
1202 |
"step": 4825
|
1203 |
},
|
1204 |
{
|
1205 |
-
"epoch": 11.
|
1206 |
"learning_rate": 3.4000000000000003e-07,
|
1207 |
-
"loss": 0.
|
1208 |
"step": 4850
|
1209 |
},
|
1210 |
{
|
1211 |
"epoch": 11.07,
|
1212 |
"learning_rate": 2.844444444444445e-07,
|
1213 |
-
"loss": 0.
|
1214 |
"step": 4875
|
1215 |
},
|
1216 |
{
|
1217 |
-
"epoch": 11.
|
1218 |
"learning_rate": 2.2888888888888892e-07,
|
1219 |
"loss": 0.0012,
|
1220 |
"step": 4900
|
@@ -1222,7 +1222,7 @@
|
|
1222 |
{
|
1223 |
"epoch": 11.08,
|
1224 |
"learning_rate": 1.7333333333333335e-07,
|
1225 |
-
"loss": 0.
|
1226 |
"step": 4925
|
1227 |
},
|
1228 |
{
|
@@ -1240,31 +1240,31 @@
|
|
1240 |
{
|
1241 |
"epoch": 12.01,
|
1242 |
"learning_rate": 6.666666666666667e-09,
|
1243 |
-
"loss": 0.
|
1244 |
"step": 5000
|
1245 |
},
|
1246 |
{
|
1247 |
"epoch": 12.01,
|
1248 |
-
"eval_loss": 0.
|
1249 |
-
"eval_runtime":
|
1250 |
-
"eval_samples_per_second":
|
1251 |
-
"eval_steps_per_second": 0.
|
1252 |
-
"eval_wer": 18.
|
1253 |
"step": 5000
|
1254 |
},
|
1255 |
{
|
1256 |
"epoch": 12.01,
|
1257 |
"step": 5000,
|
1258 |
-
"total_flos": 4.
|
1259 |
-
"train_loss": 0.
|
1260 |
-
"train_runtime":
|
1261 |
-
"train_samples_per_second": 5.
|
1262 |
-
"train_steps_per_second": 0.
|
1263 |
}
|
1264 |
],
|
1265 |
"max_steps": 5000,
|
1266 |
"num_train_epochs": 9223372036854775807,
|
1267 |
-
"total_flos": 4.
|
1268 |
"trial_name": null,
|
1269 |
"trial_params": null
|
1270 |
}
|
|
|
1 |
{
|
2 |
+
"best_metric": 18.775568066750374,
|
3 |
+
"best_model_checkpoint": "./checkpoint-4000",
|
4 |
+
"epoch": 12.0112,
|
5 |
"global_step": 5000,
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
|
|
10 |
{
|
11 |
"epoch": 0.01,
|
12 |
"learning_rate": 4.4e-07,
|
13 |
+
"loss": 1.6639,
|
14 |
"step": 25
|
15 |
},
|
16 |
{
|
17 |
"epoch": 0.01,
|
18 |
"learning_rate": 9.400000000000001e-07,
|
19 |
+
"loss": 1.4728,
|
20 |
"step": 50
|
21 |
},
|
22 |
{
|
23 |
"epoch": 0.01,
|
24 |
"learning_rate": 1.44e-06,
|
25 |
+
"loss": 1.1563,
|
26 |
"step": 75
|
27 |
},
|
28 |
{
|
29 |
"epoch": 0.02,
|
30 |
"learning_rate": 1.94e-06,
|
31 |
+
"loss": 0.9368,
|
32 |
"step": 100
|
33 |
},
|
34 |
{
|
35 |
"epoch": 0.03,
|
36 |
"learning_rate": 2.4400000000000004e-06,
|
37 |
+
"loss": 0.8889,
|
38 |
"step": 125
|
39 |
},
|
40 |
{
|
41 |
"epoch": 0.03,
|
42 |
"learning_rate": 2.9400000000000002e-06,
|
43 |
+
"loss": 0.8114,
|
44 |
"step": 150
|
45 |
},
|
46 |
{
|
47 |
"epoch": 0.04,
|
48 |
"learning_rate": 3.44e-06,
|
49 |
+
"loss": 0.6924,
|
50 |
"step": 175
|
51 |
},
|
52 |
{
|
53 |
"epoch": 0.04,
|
54 |
"learning_rate": 3.94e-06,
|
55 |
+
"loss": 0.661,
|
56 |
"step": 200
|
57 |
},
|
58 |
{
|
59 |
"epoch": 0.04,
|
60 |
"learning_rate": 4.440000000000001e-06,
|
61 |
+
"loss": 0.6427,
|
62 |
"step": 225
|
63 |
},
|
64 |
{
|
65 |
"epoch": 0.05,
|
66 |
"learning_rate": 4.94e-06,
|
67 |
+
"loss": 0.5217,
|
68 |
"step": 250
|
69 |
},
|
70 |
{
|
71 |
"epoch": 0.06,
|
72 |
"learning_rate": 5.4400000000000004e-06,
|
73 |
+
"loss": 0.4991,
|
74 |
"step": 275
|
75 |
},
|
76 |
{
|
77 |
"epoch": 0.06,
|
78 |
"learning_rate": 5.94e-06,
|
79 |
+
"loss": 0.4768,
|
80 |
"step": 300
|
81 |
},
|
82 |
{
|
83 |
"epoch": 0.07,
|
84 |
"learning_rate": 6.440000000000001e-06,
|
85 |
+
"loss": 0.4632,
|
86 |
"step": 325
|
87 |
},
|
88 |
{
|
89 |
"epoch": 0.07,
|
90 |
"learning_rate": 6.9400000000000005e-06,
|
91 |
+
"loss": 0.4289,
|
92 |
"step": 350
|
93 |
},
|
94 |
{
|
95 |
"epoch": 0.07,
|
96 |
"learning_rate": 7.440000000000001e-06,
|
97 |
+
"loss": 0.404,
|
98 |
"step": 375
|
99 |
},
|
100 |
{
|
101 |
"epoch": 0.08,
|
102 |
"learning_rate": 7.94e-06,
|
103 |
+
"loss": 0.3833,
|
104 |
"step": 400
|
105 |
},
|
106 |
{
|
107 |
"epoch": 1.0,
|
108 |
"learning_rate": 8.44e-06,
|
109 |
+
"loss": 0.4201,
|
110 |
"step": 425
|
111 |
},
|
112 |
{
|
113 |
"epoch": 1.01,
|
114 |
"learning_rate": 8.94e-06,
|
115 |
+
"loss": 0.3989,
|
116 |
"step": 450
|
117 |
},
|
118 |
{
|
119 |
"epoch": 1.01,
|
120 |
"learning_rate": 9.440000000000001e-06,
|
121 |
+
"loss": 0.3453,
|
122 |
"step": 475
|
123 |
},
|
124 |
{
|
125 |
"epoch": 1.02,
|
126 |
"learning_rate": 9.940000000000001e-06,
|
127 |
+
"loss": 0.3559,
|
128 |
"step": 500
|
129 |
},
|
130 |
{
|
131 |
"epoch": 1.02,
|
132 |
"learning_rate": 9.951111111111111e-06,
|
133 |
+
"loss": 0.3429,
|
134 |
"step": 525
|
135 |
},
|
136 |
{
|
137 |
"epoch": 1.03,
|
138 |
"learning_rate": 9.895555555555557e-06,
|
139 |
+
"loss": 0.3701,
|
140 |
"step": 550
|
141 |
},
|
142 |
{
|
143 |
"epoch": 1.03,
|
144 |
"learning_rate": 9.84e-06,
|
145 |
+
"loss": 0.3084,
|
146 |
"step": 575
|
147 |
},
|
148 |
{
|
149 |
"epoch": 1.04,
|
150 |
"learning_rate": 9.784444444444445e-06,
|
151 |
+
"loss": 0.2956,
|
152 |
"step": 600
|
153 |
},
|
154 |
{
|
155 |
"epoch": 1.04,
|
156 |
"learning_rate": 9.72888888888889e-06,
|
157 |
+
"loss": 0.2923,
|
158 |
"step": 625
|
159 |
},
|
160 |
{
|
161 |
"epoch": 1.05,
|
162 |
"learning_rate": 9.673333333333334e-06,
|
163 |
+
"loss": 0.2786,
|
164 |
"step": 650
|
165 |
},
|
166 |
{
|
167 |
"epoch": 1.05,
|
168 |
"learning_rate": 9.617777777777778e-06,
|
169 |
+
"loss": 0.2427,
|
170 |
"step": 675
|
171 |
},
|
172 |
{
|
173 |
"epoch": 1.06,
|
174 |
"learning_rate": 9.562222222222223e-06,
|
175 |
+
"loss": 0.2387,
|
176 |
"step": 700
|
177 |
},
|
178 |
{
|
179 |
"epoch": 1.06,
|
180 |
"learning_rate": 9.506666666666667e-06,
|
181 |
+
"loss": 0.2371,
|
182 |
"step": 725
|
183 |
},
|
184 |
{
|
185 |
"epoch": 1.07,
|
186 |
"learning_rate": 9.451111111111112e-06,
|
187 |
+
"loss": 0.2114,
|
188 |
"step": 750
|
189 |
},
|
190 |
{
|
191 |
"epoch": 1.07,
|
192 |
"learning_rate": 9.395555555555556e-06,
|
193 |
+
"loss": 0.1894,
|
194 |
"step": 775
|
195 |
},
|
196 |
{
|
197 |
"epoch": 1.08,
|
198 |
"learning_rate": 9.340000000000002e-06,
|
199 |
+
"loss": 0.1867,
|
200 |
"step": 800
|
201 |
},
|
202 |
{
|
203 |
"epoch": 2.0,
|
204 |
"learning_rate": 9.284444444444444e-06,
|
205 |
+
"loss": 0.1927,
|
206 |
"step": 825
|
207 |
},
|
208 |
{
|
209 |
"epoch": 2.01,
|
210 |
"learning_rate": 9.22888888888889e-06,
|
211 |
+
"loss": 0.1951,
|
212 |
"step": 850
|
213 |
},
|
214 |
{
|
215 |
"epoch": 2.01,
|
216 |
"learning_rate": 9.173333333333334e-06,
|
217 |
+
"loss": 0.1775,
|
218 |
"step": 875
|
219 |
},
|
220 |
{
|
221 |
"epoch": 2.02,
|
222 |
"learning_rate": 9.117777777777778e-06,
|
223 |
+
"loss": 0.1672,
|
224 |
"step": 900
|
225 |
},
|
226 |
{
|
227 |
"epoch": 2.02,
|
228 |
"learning_rate": 9.062222222222224e-06,
|
229 |
+
"loss": 0.1591,
|
230 |
"step": 925
|
231 |
},
|
232 |
{
|
233 |
"epoch": 2.03,
|
234 |
"learning_rate": 9.006666666666666e-06,
|
235 |
+
"loss": 0.1703,
|
236 |
"step": 950
|
237 |
},
|
238 |
{
|
239 |
"epoch": 2.03,
|
240 |
"learning_rate": 8.951111111111112e-06,
|
241 |
+
"loss": 0.1636,
|
242 |
"step": 975
|
243 |
},
|
244 |
{
|
245 |
"epoch": 2.04,
|
246 |
"learning_rate": 8.895555555555556e-06,
|
247 |
+
"loss": 0.1413,
|
248 |
"step": 1000
|
249 |
},
|
250 |
{
|
251 |
"epoch": 2.04,
|
252 |
+
"eval_loss": 0.31775403022766113,
|
253 |
+
"eval_runtime": 963.5028,
|
254 |
+
"eval_samples_per_second": 6.841,
|
255 |
+
"eval_steps_per_second": 0.428,
|
256 |
+
"eval_wer": 22.013852322896838,
|
257 |
"step": 1000
|
258 |
},
|
259 |
{
|
260 |
"epoch": 2.04,
|
261 |
"learning_rate": 8.84e-06,
|
262 |
+
"loss": 0.1371,
|
263 |
"step": 1025
|
264 |
},
|
265 |
{
|
266 |
"epoch": 2.05,
|
267 |
"learning_rate": 8.784444444444446e-06,
|
268 |
+
"loss": 0.1494,
|
269 |
"step": 1050
|
270 |
},
|
271 |
{
|
272 |
"epoch": 2.05,
|
273 |
"learning_rate": 8.72888888888889e-06,
|
274 |
+
"loss": 0.1196,
|
275 |
"step": 1075
|
276 |
},
|
277 |
{
|
278 |
"epoch": 2.06,
|
279 |
"learning_rate": 8.673333333333334e-06,
|
280 |
+
"loss": 0.1152,
|
281 |
"step": 1100
|
282 |
},
|
283 |
{
|
284 |
"epoch": 2.06,
|
285 |
"learning_rate": 8.617777777777778e-06,
|
286 |
+
"loss": 0.1158,
|
287 |
"step": 1125
|
288 |
},
|
289 |
{
|
290 |
"epoch": 2.07,
|
291 |
"learning_rate": 8.562222222222224e-06,
|
292 |
+
"loss": 0.1054,
|
293 |
"step": 1150
|
294 |
},
|
295 |
{
|
296 |
"epoch": 2.07,
|
297 |
"learning_rate": 8.506666666666668e-06,
|
298 |
+
"loss": 0.0912,
|
299 |
"step": 1175
|
300 |
},
|
301 |
{
|
302 |
"epoch": 2.08,
|
303 |
"learning_rate": 8.451111111111112e-06,
|
304 |
+
"loss": 0.0915,
|
305 |
"step": 1200
|
306 |
},
|
307 |
{
|
308 |
"epoch": 2.08,
|
309 |
"learning_rate": 8.395555555555557e-06,
|
310 |
+
"loss": 0.0901,
|
311 |
"step": 1225
|
312 |
},
|
313 |
{
|
314 |
"epoch": 3.0,
|
315 |
"learning_rate": 8.34e-06,
|
316 |
+
"loss": 0.0953,
|
317 |
"step": 1250
|
318 |
},
|
319 |
{
|
320 |
"epoch": 3.01,
|
321 |
"learning_rate": 8.284444444444446e-06,
|
322 |
+
"loss": 0.0923,
|
323 |
"step": 1275
|
324 |
},
|
325 |
{
|
326 |
"epoch": 3.01,
|
327 |
"learning_rate": 8.22888888888889e-06,
|
328 |
+
"loss": 0.0749,
|
329 |
"step": 1300
|
330 |
},
|
331 |
{
|
332 |
"epoch": 3.02,
|
333 |
"learning_rate": 8.173333333333334e-06,
|
334 |
+
"loss": 0.0796,
|
335 |
"step": 1325
|
336 |
},
|
337 |
{
|
338 |
"epoch": 3.02,
|
339 |
"learning_rate": 8.11777777777778e-06,
|
340 |
+
"loss": 0.0786,
|
341 |
"step": 1350
|
342 |
},
|
343 |
{
|
344 |
"epoch": 3.03,
|
345 |
"learning_rate": 8.062222222222222e-06,
|
346 |
+
"loss": 0.0819,
|
347 |
"step": 1375
|
348 |
},
|
349 |
{
|
350 |
"epoch": 3.03,
|
351 |
"learning_rate": 8.006666666666667e-06,
|
352 |
+
"loss": 0.0747,
|
353 |
"step": 1400
|
354 |
},
|
355 |
{
|
356 |
"epoch": 3.04,
|
357 |
"learning_rate": 7.951111111111111e-06,
|
358 |
+
"loss": 0.0646,
|
359 |
"step": 1425
|
360 |
},
|
361 |
{
|
362 |
"epoch": 3.04,
|
363 |
"learning_rate": 7.895555555555557e-06,
|
364 |
+
"loss": 0.0707,
|
365 |
"step": 1450
|
366 |
},
|
367 |
{
|
368 |
"epoch": 3.05,
|
369 |
"learning_rate": 7.840000000000001e-06,
|
370 |
+
"loss": 0.0639,
|
371 |
"step": 1475
|
372 |
},
|
373 |
{
|
374 |
"epoch": 3.05,
|
375 |
"learning_rate": 7.784444444444445e-06,
|
376 |
+
"loss": 0.0544,
|
377 |
"step": 1500
|
378 |
},
|
379 |
{
|
380 |
"epoch": 3.06,
|
381 |
"learning_rate": 7.72888888888889e-06,
|
382 |
+
"loss": 0.0531,
|
383 |
"step": 1525
|
384 |
},
|
385 |
{
|
386 |
"epoch": 3.06,
|
387 |
"learning_rate": 7.673333333333333e-06,
|
388 |
+
"loss": 0.0518,
|
389 |
"step": 1550
|
390 |
},
|
391 |
{
|
392 |
"epoch": 3.07,
|
393 |
"learning_rate": 7.617777777777778e-06,
|
394 |
+
"loss": 0.0461,
|
395 |
"step": 1575
|
396 |
},
|
397 |
{
|
398 |
"epoch": 3.07,
|
399 |
"learning_rate": 7.562222222222223e-06,
|
400 |
+
"loss": 0.0424,
|
401 |
"step": 1600
|
402 |
},
|
403 |
{
|
404 |
"epoch": 3.08,
|
405 |
"learning_rate": 7.506666666666668e-06,
|
406 |
+
"loss": 0.0392,
|
407 |
"step": 1625
|
408 |
},
|
409 |
{
|
410 |
"epoch": 4.0,
|
411 |
"learning_rate": 7.451111111111111e-06,
|
412 |
+
"loss": 0.0376,
|
413 |
"step": 1650
|
414 |
},
|
415 |
{
|
416 |
"epoch": 4.01,
|
417 |
"learning_rate": 7.395555555555556e-06,
|
418 |
+
"loss": 0.0447,
|
419 |
"step": 1675
|
420 |
},
|
421 |
{
|
422 |
"epoch": 4.01,
|
423 |
"learning_rate": 7.340000000000001e-06,
|
424 |
+
"loss": 0.0362,
|
425 |
"step": 1700
|
426 |
},
|
427 |
{
|
428 |
"epoch": 4.02,
|
429 |
"learning_rate": 7.284444444444445e-06,
|
430 |
+
"loss": 0.0368,
|
431 |
"step": 1725
|
432 |
},
|
433 |
{
|
434 |
"epoch": 4.02,
|
435 |
"learning_rate": 7.22888888888889e-06,
|
436 |
+
"loss": 0.0367,
|
437 |
"step": 1750
|
438 |
},
|
439 |
{
|
440 |
"epoch": 4.03,
|
441 |
"learning_rate": 7.173333333333335e-06,
|
442 |
+
"loss": 0.0391,
|
443 |
"step": 1775
|
444 |
},
|
445 |
{
|
446 |
"epoch": 4.03,
|
447 |
"learning_rate": 7.117777777777778e-06,
|
448 |
+
"loss": 0.0331,
|
449 |
"step": 1800
|
450 |
},
|
451 |
{
|
452 |
"epoch": 4.04,
|
453 |
"learning_rate": 7.062222222222223e-06,
|
454 |
+
"loss": 0.028,
|
455 |
"step": 1825
|
456 |
},
|
457 |
{
|
458 |
"epoch": 4.04,
|
459 |
"learning_rate": 7.006666666666667e-06,
|
460 |
+
"loss": 0.0315,
|
461 |
"step": 1850
|
462 |
},
|
463 |
{
|
464 |
"epoch": 4.05,
|
465 |
"learning_rate": 6.951111111111112e-06,
|
466 |
+
"loss": 0.0308,
|
467 |
"step": 1875
|
468 |
},
|
469 |
{
|
470 |
"epoch": 4.05,
|
471 |
"learning_rate": 6.8955555555555565e-06,
|
472 |
+
"loss": 0.0248,
|
473 |
"step": 1900
|
474 |
},
|
475 |
{
|
476 |
"epoch": 4.06,
|
477 |
"learning_rate": 6.8400000000000014e-06,
|
478 |
+
"loss": 0.023,
|
479 |
"step": 1925
|
480 |
},
|
481 |
{
|
482 |
"epoch": 4.06,
|
483 |
"learning_rate": 6.784444444444445e-06,
|
484 |
+
"loss": 0.0233,
|
485 |
"step": 1950
|
486 |
},
|
487 |
{
|
488 |
"epoch": 4.07,
|
489 |
"learning_rate": 6.7288888888888895e-06,
|
490 |
+
"loss": 0.0236,
|
491 |
"step": 1975
|
492 |
},
|
493 |
{
|
494 |
"epoch": 4.07,
|
495 |
"learning_rate": 6.6733333333333335e-06,
|
496 |
+
"loss": 0.0181,
|
497 |
"step": 2000
|
498 |
},
|
499 |
{
|
500 |
"epoch": 4.07,
|
501 |
+
"eval_loss": 0.33755382895469666,
|
502 |
+
"eval_runtime": 952.5181,
|
503 |
+
"eval_samples_per_second": 6.92,
|
504 |
+
"eval_steps_per_second": 0.433,
|
505 |
+
"eval_wer": 20.286362347604197,
|
506 |
"step": 2000
|
507 |
},
|
508 |
{
|
509 |
"epoch": 4.08,
|
510 |
"learning_rate": 6.617777777777778e-06,
|
511 |
+
"loss": 0.0176,
|
512 |
"step": 2025
|
513 |
},
|
514 |
{
|
515 |
"epoch": 4.08,
|
516 |
"learning_rate": 6.562222222222223e-06,
|
517 |
+
"loss": 0.0177,
|
518 |
"step": 2050
|
519 |
},
|
520 |
{
|
521 |
"epoch": 5.0,
|
522 |
"learning_rate": 6.5066666666666665e-06,
|
523 |
+
"loss": 0.0198,
|
524 |
"step": 2075
|
525 |
},
|
526 |
{
|
527 |
"epoch": 5.01,
|
528 |
"learning_rate": 6.451111111111111e-06,
|
529 |
+
"loss": 0.0188,
|
530 |
"step": 2100
|
531 |
},
|
532 |
{
|
533 |
"epoch": 5.01,
|
534 |
"learning_rate": 6.395555555555556e-06,
|
535 |
+
"loss": 0.0153,
|
536 |
"step": 2125
|
537 |
},
|
538 |
{
|
539 |
"epoch": 5.02,
|
540 |
"learning_rate": 6.34e-06,
|
541 |
+
"loss": 0.0157,
|
542 |
"step": 2150
|
543 |
},
|
544 |
{
|
545 |
"epoch": 5.02,
|
546 |
"learning_rate": 6.284444444444445e-06,
|
547 |
+
"loss": 0.0196,
|
548 |
"step": 2175
|
549 |
},
|
550 |
{
|
551 |
"epoch": 5.03,
|
552 |
"learning_rate": 6.22888888888889e-06,
|
553 |
+
"loss": 0.0153,
|
554 |
"step": 2200
|
555 |
},
|
556 |
{
|
557 |
"epoch": 5.03,
|
558 |
"learning_rate": 6.173333333333333e-06,
|
559 |
+
"loss": 0.0132,
|
560 |
"step": 2225
|
561 |
},
|
562 |
{
|
563 |
"epoch": 5.04,
|
564 |
"learning_rate": 6.117777777777778e-06,
|
565 |
+
"loss": 0.0144,
|
566 |
"step": 2250
|
567 |
},
|
568 |
{
|
569 |
"epoch": 5.04,
|
570 |
"learning_rate": 6.062222222222223e-06,
|
571 |
+
"loss": 0.0145,
|
572 |
"step": 2275
|
573 |
},
|
574 |
{
|
575 |
"epoch": 5.05,
|
576 |
"learning_rate": 6.006666666666667e-06,
|
577 |
+
"loss": 0.0131,
|
578 |
"step": 2300
|
579 |
},
|
580 |
{
|
581 |
"epoch": 5.05,
|
582 |
"learning_rate": 5.951111111111112e-06,
|
583 |
+
"loss": 0.0107,
|
584 |
"step": 2325
|
585 |
},
|
586 |
{
|
587 |
"epoch": 5.06,
|
588 |
"learning_rate": 5.895555555555557e-06,
|
589 |
+
"loss": 0.0122,
|
590 |
"step": 2350
|
591 |
},
|
592 |
{
|
593 |
"epoch": 5.06,
|
594 |
"learning_rate": 5.84e-06,
|
595 |
+
"loss": 0.0121,
|
596 |
"step": 2375
|
597 |
},
|
598 |
{
|
599 |
"epoch": 5.07,
|
600 |
"learning_rate": 5.784444444444445e-06,
|
601 |
+
"loss": 0.0103,
|
602 |
"step": 2400
|
603 |
},
|
604 |
{
|
605 |
"epoch": 5.07,
|
606 |
"learning_rate": 5.72888888888889e-06,
|
607 |
+
"loss": 0.0089,
|
608 |
"step": 2425
|
609 |
},
|
610 |
{
|
611 |
"epoch": 5.08,
|
612 |
"learning_rate": 5.673333333333334e-06,
|
613 |
+
"loss": 0.0087,
|
614 |
"step": 2450
|
615 |
},
|
616 |
{
|
617 |
"epoch": 6.0,
|
618 |
"learning_rate": 5.617777777777779e-06,
|
619 |
+
"loss": 0.0087,
|
620 |
"step": 2475
|
621 |
},
|
622 |
{
|
623 |
"epoch": 6.01,
|
624 |
"learning_rate": 5.562222222222222e-06,
|
625 |
+
"loss": 0.0106,
|
626 |
"step": 2500
|
627 |
},
|
628 |
{
|
629 |
"epoch": 6.01,
|
630 |
"learning_rate": 5.506666666666667e-06,
|
631 |
+
"loss": 0.0094,
|
632 |
"step": 2525
|
633 |
},
|
634 |
{
|
635 |
"epoch": 6.02,
|
636 |
"learning_rate": 5.451111111111112e-06,
|
637 |
+
"loss": 0.0082,
|
638 |
"step": 2550
|
639 |
},
|
640 |
{
|
641 |
"epoch": 6.02,
|
642 |
"learning_rate": 5.3955555555555565e-06,
|
643 |
+
"loss": 0.0079,
|
644 |
"step": 2575
|
645 |
},
|
646 |
{
|
647 |
"epoch": 6.03,
|
648 |
"learning_rate": 5.3400000000000005e-06,
|
649 |
+
"loss": 0.0084,
|
650 |
"step": 2600
|
651 |
},
|
652 |
{
|
653 |
"epoch": 6.03,
|
654 |
"learning_rate": 5.2844444444444454e-06,
|
655 |
+
"loss": 0.0076,
|
656 |
"step": 2625
|
657 |
},
|
658 |
{
|
659 |
"epoch": 6.04,
|
660 |
"learning_rate": 5.228888888888889e-06,
|
661 |
+
"loss": 0.0069,
|
662 |
"step": 2650
|
663 |
},
|
664 |
{
|
665 |
"epoch": 6.04,
|
666 |
"learning_rate": 5.1733333333333335e-06,
|
667 |
+
"loss": 0.0067,
|
668 |
"step": 2675
|
669 |
},
|
670 |
{
|
671 |
"epoch": 6.05,
|
672 |
"learning_rate": 5.117777777777778e-06,
|
673 |
+
"loss": 0.0073,
|
674 |
"step": 2700
|
675 |
},
|
676 |
{
|
677 |
"epoch": 6.05,
|
678 |
"learning_rate": 5.062222222222222e-06,
|
679 |
+
"loss": 0.0062,
|
680 |
"step": 2725
|
681 |
},
|
682 |
{
|
683 |
"epoch": 6.06,
|
684 |
"learning_rate": 5.006666666666667e-06,
|
685 |
+
"loss": 0.0057,
|
686 |
"step": 2750
|
687 |
},
|
688 |
{
|
689 |
"epoch": 6.06,
|
690 |
"learning_rate": 4.951111111111111e-06,
|
691 |
+
"loss": 0.0064,
|
692 |
"step": 2775
|
693 |
},
|
694 |
{
|
|
|
700 |
{
|
701 |
"epoch": 6.07,
|
702 |
"learning_rate": 4.84e-06,
|
703 |
+
"loss": 0.0047,
|
704 |
"step": 2825
|
705 |
},
|
706 |
{
|
707 |
"epoch": 6.08,
|
708 |
"learning_rate": 4.784444444444445e-06,
|
709 |
+
"loss": 0.005,
|
710 |
"step": 2850
|
711 |
},
|
712 |
{
|
713 |
"epoch": 6.08,
|
714 |
"learning_rate": 4.728888888888889e-06,
|
715 |
+
"loss": 0.0047,
|
716 |
"step": 2875
|
717 |
},
|
718 |
{
|
719 |
"epoch": 7.0,
|
720 |
"learning_rate": 4.673333333333333e-06,
|
721 |
+
"loss": 0.0052,
|
722 |
"step": 2900
|
723 |
},
|
724 |
{
|
725 |
"epoch": 7.01,
|
726 |
"learning_rate": 4.617777777777778e-06,
|
727 |
+
"loss": 0.005,
|
728 |
"step": 2925
|
729 |
},
|
730 |
{
|
731 |
"epoch": 7.01,
|
732 |
"learning_rate": 4.562222222222222e-06,
|
733 |
+
"loss": 0.0041,
|
734 |
"step": 2950
|
735 |
},
|
736 |
{
|
737 |
"epoch": 7.02,
|
738 |
"learning_rate": 4.506666666666667e-06,
|
739 |
+
"loss": 0.0045,
|
740 |
"step": 2975
|
741 |
},
|
742 |
{
|
743 |
"epoch": 7.02,
|
744 |
"learning_rate": 4.451111111111112e-06,
|
745 |
+
"loss": 0.0044,
|
746 |
"step": 3000
|
747 |
},
|
748 |
{
|
749 |
"epoch": 7.02,
|
750 |
+
"eval_loss": 0.3602650463581085,
|
751 |
+
"eval_runtime": 960.4855,
|
752 |
+
"eval_samples_per_second": 6.862,
|
753 |
+
"eval_steps_per_second": 0.429,
|
754 |
+
"eval_wer": 18.876827737048888,
|
755 |
"step": 3000
|
756 |
},
|
757 |
{
|
758 |
"epoch": 7.03,
|
759 |
"learning_rate": 4.395555555555556e-06,
|
760 |
+
"loss": 0.0043,
|
761 |
"step": 3025
|
762 |
},
|
763 |
{
|
764 |
"epoch": 7.03,
|
765 |
"learning_rate": 4.34e-06,
|
766 |
+
"loss": 0.0041,
|
767 |
"step": 3050
|
768 |
},
|
769 |
{
|
770 |
"epoch": 7.04,
|
771 |
"learning_rate": 4.284444444444445e-06,
|
772 |
+
"loss": 0.0035,
|
773 |
"step": 3075
|
774 |
},
|
775 |
{
|
776 |
"epoch": 7.04,
|
777 |
"learning_rate": 4.228888888888889e-06,
|
778 |
+
"loss": 0.0044,
|
779 |
"step": 3100
|
780 |
},
|
781 |
{
|
782 |
"epoch": 7.05,
|
783 |
"learning_rate": 4.173333333333334e-06,
|
784 |
+
"loss": 0.0039,
|
785 |
"step": 3125
|
786 |
},
|
787 |
{
|
788 |
"epoch": 7.05,
|
789 |
"learning_rate": 4.117777777777779e-06,
|
790 |
+
"loss": 0.0031,
|
791 |
"step": 3150
|
792 |
},
|
793 |
{
|
|
|
805 |
{
|
806 |
"epoch": 7.07,
|
807 |
"learning_rate": 3.951111111111112e-06,
|
808 |
+
"loss": 0.0028,
|
809 |
"step": 3225
|
810 |
},
|
811 |
{
|
812 |
"epoch": 7.07,
|
813 |
"learning_rate": 3.895555555555556e-06,
|
814 |
+
"loss": 0.0032,
|
815 |
"step": 3250
|
816 |
},
|
817 |
{
|
818 |
"epoch": 7.08,
|
819 |
"learning_rate": 3.8400000000000005e-06,
|
820 |
+
"loss": 0.003,
|
821 |
"step": 3275
|
822 |
},
|
823 |
{
|
824 |
"epoch": 8.0,
|
825 |
"learning_rate": 3.784444444444445e-06,
|
826 |
+
"loss": 0.0034,
|
827 |
"step": 3300
|
828 |
},
|
829 |
{
|
830 |
"epoch": 8.01,
|
831 |
"learning_rate": 3.728888888888889e-06,
|
832 |
+
"loss": 0.003,
|
833 |
"step": 3325
|
834 |
},
|
835 |
{
|
836 |
"epoch": 8.01,
|
837 |
"learning_rate": 3.673333333333334e-06,
|
838 |
+
"loss": 0.0027,
|
839 |
"step": 3350
|
840 |
},
|
841 |
{
|
|
|
847 |
{
|
848 |
"epoch": 8.02,
|
849 |
"learning_rate": 3.5622222222222224e-06,
|
850 |
+
"loss": 0.0028,
|
851 |
"step": 3400
|
852 |
},
|
853 |
{
|
854 |
"epoch": 8.03,
|
855 |
"learning_rate": 3.5066666666666673e-06,
|
856 |
+
"loss": 0.0029,
|
857 |
"step": 3425
|
858 |
},
|
859 |
{
|
|
|
865 |
{
|
866 |
"epoch": 8.04,
|
867 |
"learning_rate": 3.3955555555555558e-06,
|
868 |
+
"loss": 0.0022,
|
869 |
"step": 3475
|
870 |
},
|
871 |
{
|
|
|
877 |
{
|
878 |
"epoch": 8.05,
|
879 |
"learning_rate": 3.2844444444444447e-06,
|
880 |
+
"loss": 0.0028,
|
881 |
"step": 3525
|
882 |
},
|
883 |
{
|
884 |
"epoch": 8.05,
|
885 |
"learning_rate": 3.228888888888889e-06,
|
886 |
+
"loss": 0.0025,
|
887 |
"step": 3550
|
888 |
},
|
889 |
{
|
890 |
"epoch": 8.06,
|
891 |
"learning_rate": 3.173333333333334e-06,
|
892 |
+
"loss": 0.0022,
|
893 |
"step": 3575
|
894 |
},
|
895 |
{
|
896 |
"epoch": 8.06,
|
897 |
"learning_rate": 3.117777777777778e-06,
|
898 |
+
"loss": 0.0021,
|
899 |
"step": 3600
|
900 |
},
|
901 |
{
|
902 |
"epoch": 8.07,
|
903 |
"learning_rate": 3.0622222222222225e-06,
|
904 |
+
"loss": 0.002,
|
905 |
"step": 3625
|
906 |
},
|
907 |
{
|
908 |
"epoch": 8.07,
|
909 |
"learning_rate": 3.0066666666666674e-06,
|
910 |
+
"loss": 0.0019,
|
911 |
"step": 3650
|
912 |
},
|
913 |
{
|
914 |
"epoch": 8.08,
|
915 |
"learning_rate": 2.9511111111111114e-06,
|
916 |
+
"loss": 0.0019,
|
917 |
"step": 3675
|
918 |
},
|
919 |
{
|
920 |
+
"epoch": 8.08,
|
921 |
"learning_rate": 2.895555555555556e-06,
|
922 |
"loss": 0.0019,
|
923 |
"step": 3700
|
924 |
},
|
925 |
{
|
926 |
+
"epoch": 9.0,
|
927 |
"learning_rate": 2.84e-06,
|
928 |
+
"loss": 0.0021,
|
929 |
"step": 3725
|
930 |
},
|
931 |
{
|
932 |
"epoch": 9.01,
|
933 |
"learning_rate": 2.784444444444445e-06,
|
934 |
+
"loss": 0.0021,
|
935 |
"step": 3750
|
936 |
},
|
937 |
{
|
938 |
+
"epoch": 9.01,
|
939 |
"learning_rate": 2.7288888888888893e-06,
|
940 |
+
"loss": 0.0018,
|
941 |
"step": 3775
|
942 |
},
|
943 |
{
|
944 |
"epoch": 9.02,
|
945 |
"learning_rate": 2.6733333333333333e-06,
|
946 |
+
"loss": 0.0019,
|
947 |
"step": 3800
|
948 |
},
|
949 |
{
|
950 |
+
"epoch": 9.02,
|
951 |
"learning_rate": 2.617777777777778e-06,
|
952 |
+
"loss": 0.0018,
|
953 |
"step": 3825
|
954 |
},
|
955 |
{
|
956 |
"epoch": 9.03,
|
957 |
"learning_rate": 2.5622222222222226e-06,
|
958 |
+
"loss": 0.0021,
|
959 |
"step": 3850
|
960 |
},
|
961 |
{
|
962 |
+
"epoch": 9.03,
|
963 |
"learning_rate": 2.5066666666666667e-06,
|
964 |
+
"loss": 0.0017,
|
965 |
"step": 3875
|
966 |
},
|
967 |
{
|
968 |
"epoch": 9.04,
|
969 |
"learning_rate": 2.451111111111111e-06,
|
970 |
+
"loss": 0.0018,
|
971 |
"step": 3900
|
972 |
},
|
973 |
{
|
974 |
+
"epoch": 9.04,
|
975 |
"learning_rate": 2.3955555555555556e-06,
|
976 |
"loss": 0.0017,
|
977 |
"step": 3925
|
|
|
979 |
{
|
980 |
"epoch": 9.05,
|
981 |
"learning_rate": 2.3400000000000005e-06,
|
982 |
+
"loss": 0.002,
|
983 |
"step": 3950
|
984 |
},
|
985 |
{
|
986 |
+
"epoch": 9.05,
|
987 |
"learning_rate": 2.2844444444444445e-06,
|
988 |
"loss": 0.0017,
|
989 |
"step": 3975
|
|
|
991 |
{
|
992 |
"epoch": 9.06,
|
993 |
"learning_rate": 2.228888888888889e-06,
|
994 |
+
"loss": 0.0016,
|
995 |
"step": 4000
|
996 |
},
|
997 |
{
|
998 |
"epoch": 9.06,
|
999 |
+
"eval_loss": 0.3812163174152374,
|
1000 |
+
"eval_runtime": 968.0397,
|
1001 |
+
"eval_samples_per_second": 6.809,
|
1002 |
+
"eval_steps_per_second": 0.426,
|
1003 |
+
"eval_wer": 18.775568066750374,
|
1004 |
"step": 4000
|
1005 |
},
|
1006 |
{
|
1007 |
+
"epoch": 9.06,
|
1008 |
"learning_rate": 2.1733333333333334e-06,
|
1009 |
"loss": 0.0016,
|
1010 |
"step": 4025
|
|
|
1016 |
"step": 4050
|
1017 |
},
|
1018 |
{
|
1019 |
+
"epoch": 9.07,
|
1020 |
"learning_rate": 2.0622222222222223e-06,
|
1021 |
"loss": 0.0015,
|
1022 |
"step": 4075
|
|
|
1030 |
{
|
1031 |
"epoch": 10.0,
|
1032 |
"learning_rate": 1.9511111111111113e-06,
|
1033 |
+
"loss": 0.0015,
|
1034 |
"step": 4125
|
1035 |
},
|
1036 |
{
|
|
|
1054 |
{
|
1055 |
"epoch": 10.02,
|
1056 |
"learning_rate": 1.728888888888889e-06,
|
1057 |
+
"loss": 0.0014,
|
1058 |
"step": 4225
|
1059 |
},
|
1060 |
{
|
|
|
1066 |
{
|
1067 |
"epoch": 10.03,
|
1068 |
"learning_rate": 1.6177777777777778e-06,
|
1069 |
+
"loss": 0.0015,
|
1070 |
"step": 4275
|
1071 |
},
|
1072 |
{
|
|
|
1078 |
{
|
1079 |
"epoch": 10.04,
|
1080 |
"learning_rate": 1.506666666666667e-06,
|
1081 |
+
"loss": 0.0016,
|
1082 |
"step": 4325
|
1083 |
},
|
1084 |
{
|
|
|
1124 |
"step": 4500
|
1125 |
},
|
1126 |
{
|
1127 |
+
"epoch": 10.08,
|
1128 |
"learning_rate": 1.0622222222222222e-06,
|
1129 |
+
"loss": 0.0013,
|
1130 |
"step": 4525
|
1131 |
},
|
1132 |
{
|
1133 |
+
"epoch": 11.0,
|
1134 |
"learning_rate": 1.0066666666666668e-06,
|
1135 |
"loss": 0.0014,
|
1136 |
"step": 4550
|
|
|
1138 |
{
|
1139 |
"epoch": 11.01,
|
1140 |
"learning_rate": 9.511111111111111e-07,
|
1141 |
+
"loss": 0.0014,
|
1142 |
"step": 4575
|
1143 |
},
|
1144 |
{
|
1145 |
+
"epoch": 11.01,
|
1146 |
"learning_rate": 8.955555555555557e-07,
|
1147 |
"loss": 0.0013,
|
1148 |
"step": 4600
|
|
|
1154 |
"step": 4625
|
1155 |
},
|
1156 |
{
|
1157 |
+
"epoch": 11.02,
|
1158 |
"learning_rate": 7.844444444444445e-07,
|
1159 |
+
"loss": 0.0014,
|
1160 |
"step": 4650
|
1161 |
},
|
1162 |
{
|
1163 |
"epoch": 11.03,
|
1164 |
"learning_rate": 7.28888888888889e-07,
|
1165 |
+
"loss": 0.0015,
|
1166 |
"step": 4675
|
1167 |
},
|
1168 |
{
|
1169 |
+
"epoch": 11.03,
|
1170 |
"learning_rate": 6.733333333333334e-07,
|
1171 |
"loss": 0.0013,
|
1172 |
"step": 4700
|
|
|
1178 |
"step": 4725
|
1179 |
},
|
1180 |
{
|
1181 |
+
"epoch": 11.04,
|
1182 |
"learning_rate": 5.622222222222223e-07,
|
1183 |
"loss": 0.0013,
|
1184 |
"step": 4750
|
|
|
1190 |
"step": 4775
|
1191 |
},
|
1192 |
{
|
1193 |
+
"epoch": 11.05,
|
1194 |
"learning_rate": 4.511111111111111e-07,
|
1195 |
"loss": 0.0013,
|
1196 |
"step": 4800
|
|
|
1202 |
"step": 4825
|
1203 |
},
|
1204 |
{
|
1205 |
+
"epoch": 11.06,
|
1206 |
"learning_rate": 3.4000000000000003e-07,
|
1207 |
+
"loss": 0.0013,
|
1208 |
"step": 4850
|
1209 |
},
|
1210 |
{
|
1211 |
"epoch": 11.07,
|
1212 |
"learning_rate": 2.844444444444445e-07,
|
1213 |
+
"loss": 0.0013,
|
1214 |
"step": 4875
|
1215 |
},
|
1216 |
{
|
1217 |
+
"epoch": 11.07,
|
1218 |
"learning_rate": 2.2888888888888892e-07,
|
1219 |
"loss": 0.0012,
|
1220 |
"step": 4900
|
|
|
1222 |
{
|
1223 |
"epoch": 11.08,
|
1224 |
"learning_rate": 1.7333333333333335e-07,
|
1225 |
+
"loss": 0.0012,
|
1226 |
"step": 4925
|
1227 |
},
|
1228 |
{
|
|
|
1240 |
{
|
1241 |
"epoch": 12.01,
|
1242 |
"learning_rate": 6.666666666666667e-09,
|
1243 |
+
"loss": 0.0012,
|
1244 |
"step": 5000
|
1245 |
},
|
1246 |
{
|
1247 |
"epoch": 12.01,
|
1248 |
+
"eval_loss": 0.3913772702217102,
|
1249 |
+
"eval_runtime": 973.2149,
|
1250 |
+
"eval_samples_per_second": 6.772,
|
1251 |
+
"eval_steps_per_second": 0.423,
|
1252 |
+
"eval_wer": 18.83024828871157,
|
1253 |
"step": 5000
|
1254 |
},
|
1255 |
{
|
1256 |
"epoch": 12.01,
|
1257 |
"step": 5000,
|
1258 |
+
"total_flos": 4.616673800159232e+19,
|
1259 |
+
"train_loss": 0.106446673027426,
|
1260 |
+
"train_runtime": 27653.1068,
|
1261 |
+
"train_samples_per_second": 5.786,
|
1262 |
+
"train_steps_per_second": 0.181
|
1263 |
}
|
1264 |
],
|
1265 |
"max_steps": 5000,
|
1266 |
"num_train_epochs": 9223372036854775807,
|
1267 |
+
"total_flos": 4.616673800159232e+19,
|
1268 |
"trial_name": null,
|
1269 |
"trial_params": null
|
1270 |
}
|