-
Notifications
You must be signed in to change notification settings - Fork 72
/
table7_pidinet_running.log
466 lines (451 loc) · 40.4 KB
/
table7_pidinet_running.log
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
conv weights: lr 0.005000, wd 0.000100 bn weights: lr 0.005000, wd 0.000010 relu weights: lr 0.005000, wd 0.000000
=> loading checkpoint from ''
no checkpoint loaded
Epoch: [00/14][001/320] Time 3.720 Data 3.610 Loss 395720.5811 (avg:16488.3575) lr 0.005000
Epoch: [00/14][011/320] Time 2.769 Data 2.635 Loss 147680.0532 (avg:11232.1055) lr 0.005000
Epoch: [00/14][021/320] Time 2.932 Data 2.810 Loss 247285.4072 (avg:10967.9228) lr 0.005000
Epoch: [00/14][031/320] Time 3.266 Data 3.077 Loss 334489.9357 (avg:10504.6512) lr 0.005000
Epoch: [00/14][041/320] Time 3.229 Data 3.108 Loss 170543.0587 (avg:10152.0428) lr 0.005000
Epoch: [00/14][051/320] Time 3.128 Data 3.007 Loss 189962.2120 (avg:10058.7411) lr 0.005000
Epoch: [00/14][061/320] Time 3.131 Data 3.029 Loss 181502.3018 (avg:9778.0088) lr 0.005000
Epoch: [00/14][071/320] Time 3.380 Data 3.198 Loss 270608.0961 (avg:9797.8248) lr 0.005000
Epoch: [00/14][081/320] Time 2.788 Data 2.620 Loss 131573.5773 (avg:9804.7377) lr 0.005000
Epoch: [00/14][091/320] Time 3.063 Data 2.947 Loss 212032.1113 (avg:9673.9826) lr 0.005000
Epoch: [00/14][101/320] Time 3.098 Data 2.951 Loss 147104.2014 (avg:9476.2078) lr 0.005000
Epoch: [00/14][111/320] Time 3.151 Data 3.018 Loss 218683.5499 (avg:9381.8341) lr 0.005000
Epoch: [00/14][121/320] Time 2.919 Data 2.788 Loss 181389.0390 (avg:9293.6781) lr 0.005000
Epoch: [00/14][131/320] Time 3.348 Data 3.202 Loss 218073.6794 (avg:9226.1040) lr 0.005000
Epoch: [00/14][141/320] Time 3.522 Data 3.387 Loss 215552.7150 (avg:9131.3965) lr 0.005000
Epoch: [00/14][151/320] Time 3.393 Data 3.269 Loss 232533.5226 (avg:9117.4783) lr 0.005000
Epoch: [00/14][161/320] Time 3.079 Data 2.960 Loss 168680.7000 (avg:8953.7843) lr 0.005000
Epoch: [00/14][171/320] Time 2.854 Data 2.733 Loss 140628.5950 (avg:8880.0004) lr 0.005000
Epoch: [00/14][181/320] Time 3.348 Data 3.200 Loss 247127.9329 (avg:8865.6689) lr 0.005000
Epoch: [00/14][191/320] Time 3.886 Data 3.751 Loss 325190.3212 (avg:8891.1498) lr 0.005000
Epoch: [00/14][201/320] Time 2.969 Data 2.822 Loss 109663.4734 (avg:8817.9932) lr 0.005000
Epoch: [00/14][211/320] Time 3.348 Data 3.224 Loss 160857.7939 (avg:8760.1801) lr 0.005000
Epoch: [00/14][221/320] Time 3.417 Data 3.133 Loss 271438.9150 (avg:8747.6685) lr 0.005000
Epoch: [00/14][231/320] Time 3.445 Data 3.253 Loss 179681.5792 (avg:8753.0566) lr 0.005000
Epoch: [00/14][241/320] Time 3.531 Data 3.353 Loss 201987.7529 (avg:8760.2625) lr 0.005000
Epoch: [00/14][251/320] Time 3.004 Data 2.883 Loss 190467.4419 (avg:8720.8925) lr 0.005000
Epoch: [00/14][261/320] Time 3.651 Data 3.532 Loss 205250.8975 (avg:8701.0310) lr 0.005000
Epoch: [00/14][271/320] Time 3.150 Data 2.979 Loss 162878.2159 (avg:8661.4023) lr 0.005000
Epoch: [00/14][281/320] Time 3.250 Data 3.132 Loss 155494.3279 (avg:8626.7302) lr 0.005000
Epoch: [00/14][291/320] Time 3.213 Data 3.090 Loss 179111.3813 (avg:8603.1108) lr 0.005000
Epoch: [00/14][301/320] Time 3.243 Data 3.119 Loss 151648.0359 (avg:8580.6135) lr 0.005000
Epoch: [00/14][311/320] Time 3.107 Data 2.980 Loss 143578.8932 (avg:8563.2459) lr 0.005000
Epoch: [01/14][001/320] Time 3.325 Data 3.020 Loss 202736.7647 (avg:8447.3652) lr 0.005000
Epoch: [01/14][011/320] Time 3.378 Data 3.072 Loss 194734.2524 (avg:7247.5982) lr 0.005000
Epoch: [01/14][021/320] Time 2.919 Data 2.733 Loss 117554.3550 (avg:7477.9073) lr 0.005000
Epoch: [01/14][031/320] Time 3.045 Data 2.944 Loss 121894.3385 (avg:7861.3014) lr 0.005000
Epoch: [01/14][041/320] Time 3.003 Data 2.880 Loss 183657.0573 (avg:7741.9787) lr 0.005000
Epoch: [01/14][051/320] Time 3.120 Data 2.813 Loss 154982.5758 (avg:7555.7970) lr 0.005000
Epoch: [01/14][061/320] Time 3.451 Data 3.335 Loss 151750.0680 (avg:7330.6365) lr 0.005000
Epoch: [01/14][071/320] Time 3.112 Data 2.996 Loss 178632.8451 (avg:7396.4581) lr 0.005000
Epoch: [01/14][081/320] Time 3.360 Data 3.167 Loss 173477.1545 (avg:7483.4342) lr 0.005000
Epoch: [01/14][091/320] Time 3.138 Data 3.015 Loss 180583.0981 (avg:7497.6214) lr 0.005000
Epoch: [01/14][101/320] Time 3.127 Data 3.008 Loss 151759.6255 (avg:7415.7679) lr 0.005000
Epoch: [01/14][111/320] Time 3.101 Data 2.979 Loss 146602.1192 (avg:7353.0883) lr 0.005000
Epoch: [01/14][121/320] Time 3.186 Data 3.069 Loss 169112.7623 (avg:7400.3600) lr 0.005000
Epoch: [01/14][131/320] Time 3.580 Data 3.292 Loss 182526.5166 (avg:7433.4771) lr 0.005000
Epoch: [01/14][141/320] Time 3.373 Data 3.253 Loss 239748.2302 (avg:7444.0056) lr 0.005000
Epoch: [01/14][151/320] Time 3.711 Data 3.611 Loss 291109.8096 (avg:7418.1751) lr 0.005000
Epoch: [01/14][161/320] Time 2.866 Data 2.746 Loss 133862.3147 (avg:7466.0108) lr 0.005000
Epoch: [01/14][171/320] Time 3.720 Data 3.531 Loss 258111.1924 (avg:7472.9579) lr 0.005000
Epoch: [01/14][181/320] Time 3.074 Data 2.902 Loss 120759.8696 (avg:7505.2790) lr 0.005000
Epoch: [01/14][191/320] Time 2.967 Data 2.844 Loss 112757.1092 (avg:7484.5748) lr 0.005000
Epoch: [01/14][201/320] Time 2.696 Data 2.554 Loss 99392.8232 (avg:7472.2510) lr 0.005000
Epoch: [01/14][211/320] Time 3.138 Data 3.016 Loss 138339.8780 (avg:7438.3620) lr 0.005000
Epoch: [01/14][221/320] Time 3.343 Data 3.220 Loss 152757.1964 (avg:7410.5816) lr 0.005000
Epoch: [01/14][231/320] Time 3.236 Data 3.115 Loss 143865.1781 (avg:7379.9881) lr 0.005000
Epoch: [01/14][241/320] Time 3.962 Data 3.654 Loss 286573.3842 (avg:7330.6816) lr 0.005000
Epoch: [01/14][251/320] Time 2.824 Data 2.703 Loss 140395.2473 (avg:7342.5030) lr 0.005000
Epoch: [01/14][261/320] Time 3.366 Data 3.245 Loss 180749.3714 (avg:7314.7031) lr 0.005000
Epoch: [01/14][271/320] Time 3.319 Data 3.029 Loss 190707.2474 (avg:7292.9022) lr 0.005000
Epoch: [01/14][281/320] Time 3.063 Data 2.888 Loss 115810.3219 (avg:7248.1237) lr 0.005000
Epoch: [01/14][291/320] Time 3.367 Data 3.245 Loss 198433.9840 (avg:7246.7289) lr 0.005000
Epoch: [01/14][301/320] Time 3.142 Data 3.018 Loss 175594.0547 (avg:7266.7229) lr 0.005000
Epoch: [01/14][311/320] Time 3.218 Data 3.086 Loss 136870.6299 (avg:7267.3517) lr 0.005000
Epoch: [02/14][001/320] Time 3.737 Data 3.606 Loss 145000.3967 (avg:6041.6832) lr 0.005000
Epoch: [02/14][011/320] Time 3.616 Data 3.444 Loss 211284.0847 (avg:7120.2351) lr 0.005000
Epoch: [02/14][021/320] Time 3.367 Data 3.232 Loss 200583.1238 (avg:7357.3757) lr 0.005000
Epoch: [02/14][031/320] Time 3.252 Data 3.132 Loss 156366.1869 (avg:7189.5377) lr 0.005000
Epoch: [02/14][041/320] Time 3.150 Data 3.025 Loss 128457.4148 (avg:6962.4513) lr 0.005000
Epoch: [02/14][051/320] Time 3.067 Data 2.896 Loss 127703.3414 (avg:6868.7370) lr 0.005000
Epoch: [02/14][061/320] Time 2.957 Data 2.826 Loss 142332.7515 (avg:6935.2151) lr 0.005000
Epoch: [02/14][071/320] Time 3.009 Data 2.884 Loss 105692.3837 (avg:7045.2858) lr 0.005000
Epoch: [02/14][081/320] Time 2.930 Data 2.809 Loss 165522.0368 (avg:6973.7217) lr 0.005000
Epoch: [02/14][091/320] Time 3.381 Data 3.234 Loss 166542.2519 (avg:6969.2804) lr 0.005000
Epoch: [02/14][101/320] Time 3.316 Data 3.168 Loss 187467.4991 (avg:7000.6126) lr 0.005000
Epoch: [02/14][111/320] Time 3.279 Data 2.991 Loss 120723.0419 (avg:6972.6174) lr 0.005000
Epoch: [02/14][121/320] Time 3.011 Data 2.890 Loss 157879.4778 (avg:6942.1964) lr 0.005000
Epoch: [02/14][131/320] Time 3.552 Data 3.360 Loss 178571.2736 (avg:6968.0529) lr 0.005000
Epoch: [02/14][141/320] Time 3.013 Data 2.892 Loss 156530.8354 (avg:6991.0142) lr 0.005000
Epoch: [02/14][151/320] Time 3.317 Data 3.197 Loss 173049.7709 (avg:6990.9009) lr 0.005000
Epoch: [02/14][161/320] Time 3.443 Data 3.341 Loss 177414.1029 (avg:7010.0795) lr 0.005000
Epoch: [02/14][171/320] Time 3.145 Data 3.022 Loss 131127.9731 (avg:6974.7763) lr 0.005000
Epoch: [02/14][181/320] Time 2.856 Data 2.670 Loss 96774.2323 (avg:7007.8333) lr 0.005000
Epoch: [02/14][191/320] Time 3.504 Data 3.367 Loss 193920.7685 (avg:6998.7659) lr 0.005000
Epoch: [02/14][201/320] Time 3.484 Data 3.302 Loss 172377.0539 (avg:7012.0136) lr 0.005000
Epoch: [02/14][211/320] Time 3.594 Data 3.460 Loss 238249.0163 (avg:6983.1095) lr 0.005000
Epoch: [02/14][221/320] Time 3.558 Data 3.441 Loss 201087.9158 (avg:6964.2223) lr 0.005000
Epoch: [02/14][231/320] Time 2.987 Data 2.866 Loss 114735.0083 (avg:6968.2364) lr 0.005000
Epoch: [02/14][241/320] Time 3.366 Data 3.266 Loss 228891.3147 (avg:7005.6480) lr 0.005000
Epoch: [02/14][251/320] Time 3.210 Data 3.092 Loss 143065.0476 (avg:6989.8904) lr 0.005000
Epoch: [02/14][261/320] Time 3.033 Data 2.888 Loss 132763.9028 (avg:6988.5838) lr 0.005000
Epoch: [02/14][271/320] Time 3.320 Data 3.145 Loss 164942.8591 (avg:6983.9513) lr 0.005000
Epoch: [02/14][281/320] Time 3.267 Data 3.116 Loss 137490.7927 (avg:6974.4842) lr 0.005000
Epoch: [02/14][291/320] Time 3.187 Data 3.049 Loss 181582.6930 (avg:6963.6670) lr 0.005000
Epoch: [02/14][301/320] Time 3.319 Data 3.202 Loss 174071.0725 (avg:6924.3145) lr 0.005000
Epoch: [02/14][311/320] Time 3.493 Data 3.185 Loss 196685.6611 (avg:6927.5692) lr 0.005000
Epoch: [03/14][001/320] Time 3.351 Data 3.229 Loss 101276.8190 (avg:4219.8675) lr 0.005000
Epoch: [03/14][011/320] Time 3.983 Data 3.869 Loss 281200.8523 (avg:6986.3284) lr 0.005000
Epoch: [03/14][021/320] Time 3.224 Data 3.101 Loss 178336.7939 (avg:6944.0479) lr 0.005000
Epoch: [03/14][031/320] Time 3.161 Data 2.990 Loss 148396.4493 (avg:6583.4882) lr 0.005000
Epoch: [03/14][041/320] Time 3.043 Data 2.922 Loss 123895.6895 (avg:6588.3142) lr 0.005000
Epoch: [03/14][051/320] Time 3.412 Data 3.238 Loss 200212.0273 (avg:6529.4118) lr 0.005000
Epoch: [03/14][061/320] Time 3.146 Data 3.021 Loss 138738.0705 (avg:6540.6639) lr 0.005000
Epoch: [03/14][071/320] Time 2.971 Data 2.837 Loss 164269.2880 (avg:6593.5064) lr 0.005000
Epoch: [03/14][081/320] Time 3.296 Data 3.117 Loss 210785.5777 (avg:6610.6276) lr 0.005000
Epoch: [03/14][091/320] Time 3.310 Data 3.187 Loss 227274.0425 (avg:6672.7438) lr 0.005000
Epoch: [03/14][101/320] Time 3.543 Data 3.454 Loss 221611.2293 (avg:6708.7993) lr 0.005000
Epoch: [03/14][111/320] Time 3.077 Data 2.965 Loss 148844.5404 (avg:6713.8888) lr 0.005000
Epoch: [03/14][121/320] Time 3.085 Data 2.963 Loss 116732.4934 (avg:6693.8835) lr 0.005000
Epoch: [03/14][131/320] Time 3.343 Data 3.211 Loss 141206.3316 (avg:6657.2968) lr 0.005000
Epoch: [03/14][141/320] Time 2.565 Data 2.456 Loss 81875.2246 (avg:6676.8440) lr 0.005000
Epoch: [03/14][151/320] Time 3.276 Data 3.105 Loss 215409.6106 (avg:6694.4971) lr 0.005000
Epoch: [03/14][161/320] Time 3.102 Data 2.828 Loss 123351.9146 (avg:6649.7658) lr 0.005000
Epoch: [03/14][171/320] Time 3.036 Data 2.927 Loss 157675.9467 (avg:6628.1353) lr 0.005000
Epoch: [03/14][181/320] Time 3.000 Data 2.892 Loss 124601.0657 (avg:6640.2471) lr 0.005000
Epoch: [03/14][191/320] Time 3.939 Data 3.853 Loss 257049.8581 (avg:6669.1871) lr 0.005000
Epoch: [03/14][201/320] Time 2.892 Data 2.785 Loss 164273.1476 (avg:6691.1473) lr 0.005000
Epoch: [03/14][211/320] Time 3.266 Data 3.145 Loss 194125.8747 (avg:6688.5388) lr 0.005000
Epoch: [03/14][221/320] Time 3.573 Data 3.401 Loss 216833.7536 (avg:6679.9287) lr 0.005000
Epoch: [03/14][231/320] Time 3.191 Data 3.062 Loss 162031.9857 (avg:6681.1642) lr 0.005000
Epoch: [03/14][241/320] Time 3.348 Data 3.229 Loss 151814.9284 (avg:6726.6152) lr 0.005000
Epoch: [03/14][251/320] Time 2.969 Data 2.812 Loss 163399.3202 (avg:6765.1467) lr 0.005000
Epoch: [03/14][261/320] Time 3.260 Data 3.102 Loss 139739.1398 (avg:6771.0576) lr 0.005000
Epoch: [03/14][271/320] Time 3.030 Data 2.920 Loss 136750.8638 (avg:6730.4536) lr 0.005000
Epoch: [03/14][281/320] Time 3.373 Data 3.252 Loss 192296.5663 (avg:6692.7156) lr 0.005000
Epoch: [03/14][291/320] Time 3.428 Data 3.143 Loss 187722.1519 (avg:6692.8054) lr 0.005000
Epoch: [03/14][301/320] Time 3.272 Data 3.157 Loss 194771.2335 (avg:6668.1448) lr 0.005000
Epoch: [03/14][311/320] Time 3.254 Data 2.950 Loss 163278.6743 (avg:6659.7716) lr 0.005000
Epoch: [04/14][001/320] Time 3.742 Data 3.616 Loss 184950.2552 (avg:7706.2606) lr 0.005000
Epoch: [04/14][011/320] Time 3.073 Data 2.948 Loss 120450.8423 (avg:6044.3616) lr 0.005000
Epoch: [04/14][021/320] Time 3.276 Data 3.151 Loss 130710.9258 (avg:6281.8878) lr 0.005000
Epoch: [04/14][031/320] Time 3.944 Data 3.819 Loss 312432.9516 (avg:6394.7348) lr 0.005000
Epoch: [04/14][041/320] Time 3.546 Data 3.255 Loss 172476.8862 (avg:6637.1519) lr 0.005000
Epoch: [04/14][051/320] Time 3.427 Data 3.317 Loss 180849.6631 (avg:6729.5595) lr 0.005000
Epoch: [04/14][061/320] Time 3.001 Data 2.857 Loss 145824.8096 (avg:6694.7460) lr 0.005000
Epoch: [04/14][071/320] Time 3.170 Data 2.998 Loss 133175.8136 (avg:6746.3155) lr 0.005000
Epoch: [04/14][081/320] Time 2.993 Data 2.856 Loss 154348.4116 (avg:6718.8308) lr 0.005000
Epoch: [04/14][091/320] Time 3.168 Data 3.044 Loss 141280.4161 (avg:6699.5752) lr 0.005000
Epoch: [04/14][101/320] Time 3.706 Data 3.524 Loss 241244.1751 (avg:6665.2931) lr 0.005000
Epoch: [04/14][111/320] Time 3.064 Data 2.944 Loss 166715.3564 (avg:6645.2373) lr 0.005000
Epoch: [04/14][121/320] Time 3.199 Data 3.103 Loss 163918.8108 (avg:6716.0106) lr 0.005000
Epoch: [04/14][131/320] Time 3.488 Data 3.186 Loss 185365.9957 (avg:6699.3392) lr 0.005000
Epoch: [04/14][141/320] Time 3.288 Data 3.120 Loss 152867.2954 (avg:6684.4662) lr 0.005000
Epoch: [04/14][151/320] Time 3.112 Data 2.990 Loss 162420.8282 (avg:6675.3560) lr 0.005000
Epoch: [04/14][161/320] Time 3.107 Data 3.013 Loss 142145.7211 (avg:6650.7385) lr 0.005000
Epoch: [04/14][171/320] Time 2.992 Data 2.861 Loss 96593.2725 (avg:6636.0260) lr 0.005000
Epoch: [04/14][181/320] Time 3.525 Data 3.406 Loss 150634.8818 (avg:6613.7865) lr 0.005000
Epoch: [04/14][191/320] Time 2.851 Data 2.714 Loss 121614.3454 (avg:6610.1514) lr 0.005000
Epoch: [04/14][201/320] Time 3.138 Data 3.016 Loss 125198.8860 (avg:6581.5999) lr 0.005000
Epoch: [04/14][211/320] Time 2.854 Data 2.740 Loss 114426.4823 (avg:6553.6592) lr 0.005000
Epoch: [04/14][221/320] Time 3.742 Data 3.625 Loss 211558.1651 (avg:6524.2983) lr 0.005000
Epoch: [04/14][231/320] Time 3.555 Data 3.432 Loss 245790.5557 (avg:6587.5334) lr 0.005000
Epoch: [04/14][241/320] Time 3.064 Data 2.921 Loss 149195.9237 (avg:6566.9901) lr 0.005000
Epoch: [04/14][251/320] Time 3.407 Data 3.307 Loss 203039.8459 (avg:6592.8563) lr 0.005000
Epoch: [04/14][261/320] Time 3.156 Data 3.033 Loss 130049.4596 (avg:6539.4819) lr 0.005000
Epoch: [04/14][271/320] Time 2.853 Data 2.663 Loss 117087.8812 (avg:6525.7690) lr 0.005000
Epoch: [04/14][281/320] Time 3.220 Data 3.098 Loss 163684.2822 (avg:6516.1293) lr 0.005000
Epoch: [04/14][291/320] Time 2.831 Data 2.694 Loss 99714.5727 (avg:6502.7582) lr 0.005000
Epoch: [04/14][301/320] Time 2.973 Data 2.822 Loss 125679.4767 (avg:6501.8588) lr 0.005000
Epoch: [04/14][311/320] Time 3.229 Data 3.038 Loss 176288.7304 (avg:6517.7017) lr 0.005000
Epoch: [05/14][001/320] Time 3.060 Data 2.902 Loss 103545.7404 (avg:4314.4058) lr 0.005000
Epoch: [05/14][011/320] Time 3.013 Data 2.836 Loss 176553.1848 (avg:7539.8204) lr 0.005000
Epoch: [05/14][021/320] Time 2.988 Data 2.865 Loss 109792.9836 (avg:6973.6254) lr 0.005000
Epoch: [05/14][031/320] Time 2.887 Data 2.705 Loss 91346.5256 (avg:6838.3060) lr 0.005000
Epoch: [05/14][041/320] Time 2.963 Data 2.847 Loss 125602.1627 (avg:6687.3548) lr 0.005000
Epoch: [05/14][051/320] Time 3.037 Data 2.914 Loss 91740.9830 (avg:6511.4388) lr 0.005000
Epoch: [05/14][061/320] Time 3.256 Data 3.131 Loss 161180.6450 (avg:6260.0540) lr 0.005000
Epoch: [05/14][071/320] Time 2.942 Data 2.798 Loss 127681.8024 (avg:6226.7809) lr 0.005000
Epoch: [05/14][081/320] Time 3.001 Data 2.878 Loss 148698.0345 (avg:6131.0858) lr 0.005000
Epoch: [05/14][091/320] Time 3.313 Data 3.191 Loss 174329.0735 (avg:6184.2661) lr 0.005000
Epoch: [05/14][101/320] Time 3.836 Data 3.720 Loss 206302.1543 (avg:6181.5589) lr 0.005000
Epoch: [05/14][111/320] Time 3.492 Data 3.358 Loss 183010.4704 (avg:6236.5777) lr 0.005000
Epoch: [05/14][121/320] Time 3.369 Data 3.176 Loss 191853.0459 (avg:6265.2951) lr 0.005000
Epoch: [05/14][131/320] Time 2.882 Data 2.760 Loss 90120.3847 (avg:6282.8384) lr 0.005000
Epoch: [05/14][141/320] Time 3.080 Data 2.773 Loss 158557.8428 (avg:6250.5152) lr 0.005000
Epoch: [05/14][151/320] Time 3.322 Data 3.176 Loss 207575.2507 (avg:6248.5529) lr 0.005000
Epoch: [05/14][161/320] Time 3.240 Data 3.104 Loss 137562.5566 (avg:6258.7794) lr 0.005000
Epoch: [05/14][171/320] Time 2.971 Data 2.825 Loss 112976.2355 (avg:6263.5105) lr 0.005000
Epoch: [05/14][181/320] Time 3.174 Data 3.054 Loss 150458.1891 (avg:6244.4446) lr 0.005000
Epoch: [05/14][191/320] Time 3.096 Data 2.915 Loss 163118.1767 (avg:6302.7300) lr 0.005000
Epoch: [05/14][201/320] Time 3.230 Data 3.117 Loss 184579.4535 (avg:6327.8013) lr 0.005000
Epoch: [05/14][211/320] Time 2.995 Data 2.881 Loss 127981.3439 (avg:6326.9891) lr 0.005000
Epoch: [05/14][221/320] Time 3.301 Data 3.184 Loss 165762.9563 (avg:6338.3245) lr 0.005000
Epoch: [05/14][231/320] Time 3.377 Data 3.196 Loss 125338.6285 (avg:6377.7264) lr 0.005000
Epoch: [05/14][241/320] Time 3.133 Data 2.999 Loss 143782.0037 (avg:6394.2394) lr 0.005000
Epoch: [05/14][251/320] Time 3.446 Data 3.275 Loss 150366.3974 (avg:6377.9496) lr 0.005000
Epoch: [05/14][261/320] Time 3.089 Data 2.988 Loss 149752.1227 (avg:6395.0825) lr 0.005000
Epoch: [05/14][271/320] Time 3.561 Data 3.255 Loss 170971.3130 (avg:6375.5861) lr 0.005000
Epoch: [05/14][281/320] Time 3.567 Data 3.453 Loss 149889.3901 (avg:6408.4711) lr 0.005000
Epoch: [05/14][291/320] Time 3.388 Data 3.263 Loss 184529.3458 (avg:6420.0201) lr 0.005000
Epoch: [05/14][301/320] Time 3.234 Data 2.928 Loss 131733.2284 (avg:6406.7046) lr 0.005000
Epoch: [05/14][311/320] Time 3.576 Data 3.438 Loss 186333.2608 (avg:6420.9082) lr 0.005000
Epoch: [06/14][001/320] Time 3.574 Data 3.433 Loss 172369.1398 (avg:7182.0475) lr 0.005000
Epoch: [06/14][011/320] Time 3.056 Data 2.935 Loss 157045.0727 (avg:6544.3000) lr 0.005000
Epoch: [06/14][021/320] Time 3.093 Data 2.900 Loss 163199.7071 (avg:6471.3771) lr 0.005000
Epoch: [06/14][031/320] Time 3.757 Data 3.605 Loss 177178.5307 (avg:6414.2747) lr 0.005000
Epoch: [06/14][041/320] Time 3.310 Data 3.118 Loss 143329.6011 (avg:6483.5028) lr 0.005000
Epoch: [06/14][051/320] Time 3.161 Data 3.044 Loss 151149.2903 (avg:6398.5536) lr 0.005000
Epoch: [06/14][061/320] Time 3.470 Data 3.354 Loss 208803.4274 (avg:6365.6016) lr 0.005000
Epoch: [06/14][071/320] Time 2.981 Data 2.845 Loss 133747.3490 (avg:6339.5378) lr 0.005000
Epoch: [06/14][081/320] Time 3.311 Data 3.192 Loss 163640.6626 (avg:6342.7838) lr 0.005000
Epoch: [06/14][091/320] Time 3.682 Data 3.554 Loss 231103.1480 (avg:6425.9171) lr 0.005000
Epoch: [06/14][101/320] Time 2.712 Data 2.595 Loss 76343.4664 (avg:6401.4436) lr 0.005000
Epoch: [06/14][111/320] Time 3.169 Data 3.060 Loss 132190.7716 (avg:6317.0010) lr 0.005000
Epoch: [06/14][121/320] Time 3.280 Data 3.181 Loss 183660.1958 (avg:6313.7333) lr 0.005000
Epoch: [06/14][131/320] Time 3.210 Data 3.086 Loss 144674.6785 (avg:6309.9984) lr 0.005000
Epoch: [06/14][141/320] Time 3.014 Data 2.891 Loss 131167.8702 (avg:6304.6250) lr 0.005000
Epoch: [06/14][151/320] Time 3.161 Data 2.855 Loss 146878.7090 (avg:6213.6735) lr 0.005000
Epoch: [06/14][161/320] Time 3.454 Data 3.281 Loss 153387.2292 (avg:6232.2649) lr 0.005000
Epoch: [06/14][171/320] Time 3.236 Data 3.113 Loss 176414.3010 (avg:6221.7355) lr 0.005000
Epoch: [06/14][181/320] Time 2.964 Data 2.780 Loss 157843.2122 (avg:6227.2784) lr 0.005000
Epoch: [06/14][191/320] Time 3.279 Data 3.175 Loss 153349.6540 (avg:6227.5562) lr 0.005000
Epoch: [06/14][201/320] Time 2.950 Data 2.801 Loss 135127.6187 (avg:6239.4834) lr 0.005000
Epoch: [06/14][211/320] Time 2.797 Data 2.698 Loss 111914.4610 (avg:6221.2971) lr 0.005000
Epoch: [06/14][221/320] Time 3.273 Data 3.149 Loss 136188.8057 (avg:6194.3555) lr 0.005000
Epoch: [06/14][231/320] Time 3.512 Data 3.348 Loss 209777.1446 (avg:6184.9946) lr 0.005000
Epoch: [06/14][241/320] Time 3.075 Data 2.958 Loss 149404.6742 (avg:6188.1741) lr 0.005000
Epoch: [06/14][251/320] Time 3.574 Data 3.428 Loss 193009.3618 (avg:6215.7679) lr 0.005000
Epoch: [06/14][261/320] Time 3.454 Data 3.332 Loss 192497.2013 (avg:6227.6882) lr 0.005000
Epoch: [06/14][271/320] Time 3.213 Data 3.089 Loss 158408.4821 (avg:6225.3674) lr 0.005000
Epoch: [06/14][281/320] Time 2.896 Data 2.777 Loss 113737.4731 (avg:6224.3473) lr 0.005000
Epoch: [06/14][291/320] Time 3.417 Data 3.293 Loss 181247.2568 (avg:6231.4638) lr 0.005000
Epoch: [06/14][301/320] Time 3.135 Data 2.964 Loss 153208.3467 (avg:6236.2662) lr 0.005000
Epoch: [06/14][311/320] Time 3.433 Data 3.308 Loss 150979.5285 (avg:6217.8390) lr 0.005000
Epoch: [07/14][001/320] Time 3.130 Data 3.010 Loss 91313.9970 (avg:3804.7499) lr 0.005000
Epoch: [07/14][011/320] Time 3.419 Data 3.271 Loss 176816.7661 (avg:6074.6435) lr 0.005000
Epoch: [07/14][021/320] Time 3.267 Data 3.146 Loss 168562.9113 (avg:6733.1869) lr 0.005000
Epoch: [07/14][031/320] Time 3.191 Data 2.883 Loss 121209.5004 (avg:6123.4146) lr 0.005000
Epoch: [07/14][041/320] Time 3.263 Data 3.148 Loss 148519.2224 (avg:6313.6046) lr 0.005000
Epoch: [07/14][051/320] Time 3.238 Data 3.113 Loss 121030.0915 (avg:6026.4248) lr 0.005000
Epoch: [07/14][061/320] Time 3.236 Data 3.051 Loss 142698.2129 (avg:6134.6549) lr 0.005000
Epoch: [07/14][071/320] Time 3.703 Data 3.587 Loss 234509.9361 (avg:6209.5952) lr 0.005000
Epoch: [07/14][081/320] Time 3.185 Data 3.000 Loss 150220.6754 (avg:6183.1830) lr 0.005000
Epoch: [07/14][091/320] Time 3.103 Data 2.980 Loss 133366.3944 (avg:6243.9978) lr 0.005000
Epoch: [07/14][101/320] Time 3.143 Data 3.011 Loss 128698.7289 (avg:6259.6383) lr 0.005000
Epoch: [07/14][111/320] Time 3.541 Data 3.410 Loss 206103.3686 (avg:6310.4538) lr 0.005000
Epoch: [07/14][121/320] Time 3.354 Data 3.223 Loss 163979.2522 (avg:6260.8489) lr 0.005000
Epoch: [07/14][131/320] Time 3.513 Data 3.313 Loss 164523.9676 (avg:6244.3843) lr 0.005000
Epoch: [07/14][141/320] Time 3.400 Data 3.293 Loss 166124.3652 (avg:6253.5268) lr 0.005000
Epoch: [07/14][151/320] Time 3.324 Data 3.207 Loss 180364.0816 (avg:6232.8547) lr 0.005000
Epoch: [07/14][161/320] Time 3.271 Data 3.123 Loss 154400.3315 (avg:6227.9337) lr 0.005000
Epoch: [07/14][171/320] Time 3.243 Data 3.121 Loss 172333.0443 (avg:6251.6012) lr 0.005000
Epoch: [07/14][181/320] Time 2.780 Data 2.664 Loss 93756.6084 (avg:6199.1786) lr 0.005000
Epoch: [07/14][191/320] Time 2.974 Data 2.685 Loss 104676.4595 (avg:6235.5227) lr 0.005000
Epoch: [07/14][201/320] Time 3.171 Data 3.051 Loss 102534.9976 (avg:6252.8144) lr 0.005000
Epoch: [07/14][211/320] Time 2.830 Data 2.711 Loss 92014.6922 (avg:6225.6260) lr 0.005000
Epoch: [07/14][221/320] Time 3.481 Data 3.360 Loss 204268.6509 (avg:6254.0140) lr 0.005000
Epoch: [07/14][231/320] Time 3.141 Data 3.023 Loss 153238.5508 (avg:6245.6250) lr 0.005000
Epoch: [07/14][241/320] Time 3.229 Data 3.107 Loss 146498.4609 (avg:6239.5630) lr 0.005000
Epoch: [07/14][251/320] Time 3.069 Data 2.897 Loss 135716.4720 (avg:6226.6202) lr 0.005000
Epoch: [07/14][261/320] Time 2.913 Data 2.791 Loss 119500.8341 (avg:6256.7288) lr 0.005000
Epoch: [07/14][271/320] Time 2.960 Data 2.816 Loss 100032.0609 (avg:6280.5567) lr 0.005000
Epoch: [07/14][281/320] Time 3.409 Data 3.268 Loss 131435.3057 (avg:6238.9821) lr 0.005000
Epoch: [07/14][291/320] Time 3.302 Data 3.166 Loss 142363.2839 (avg:6226.0549) lr 0.005000
Epoch: [07/14][301/320] Time 2.954 Data 2.834 Loss 99158.5655 (avg:6209.8223) lr 0.005000
Epoch: [07/14][311/320] Time 2.833 Data 2.733 Loss 127292.6497 (avg:6196.8796) lr 0.005000
Epoch: [08/14][001/320] Time 3.618 Data 3.484 Loss 127440.1321 (avg:5310.0055) lr 0.000500
Epoch: [08/14][011/320] Time 3.208 Data 3.085 Loss 170660.0984 (avg:5723.5311) lr 0.000500
Epoch: [08/14][021/320] Time 3.239 Data 3.086 Loss 170093.5298 (avg:5486.2633) lr 0.000500
Epoch: [08/14][031/320] Time 3.117 Data 3.000 Loss 144073.9972 (avg:5349.3111) lr 0.000500
Epoch: [08/14][041/320] Time 3.274 Data 3.150 Loss 144960.8760 (avg:5574.5935) lr 0.000500
Epoch: [08/14][051/320] Time 3.359 Data 3.050 Loss 145977.3480 (avg:5591.9328) lr 0.000500
Epoch: [08/14][061/320] Time 3.224 Data 3.096 Loss 121277.9954 (avg:5699.2959) lr 0.000500
Epoch: [08/14][071/320] Time 3.732 Data 3.556 Loss 199081.1801 (avg:5720.6119) lr 0.000500
Epoch: [08/14][081/320] Time 3.618 Data 3.503 Loss 196028.2486 (avg:5747.5678) lr 0.000500
Epoch: [08/14][091/320] Time 3.104 Data 2.993 Loss 126536.7604 (avg:5691.5891) lr 0.000500
Epoch: [08/14][101/320] Time 3.106 Data 2.984 Loss 111424.3347 (avg:5653.4599) lr 0.000500
Epoch: [08/14][111/320] Time 2.970 Data 2.696 Loss 104068.8230 (avg:5643.0068) lr 0.000500
Epoch: [08/14][121/320] Time 3.227 Data 3.092 Loss 188560.4877 (avg:5703.3516) lr 0.000500
Epoch: [08/14][131/320] Time 2.898 Data 2.725 Loss 87512.8315 (avg:5736.6713) lr 0.000500
Epoch: [08/14][141/320] Time 3.583 Data 3.436 Loss 193474.8632 (avg:5766.6754) lr 0.000500
Epoch: [08/14][151/320] Time 3.292 Data 3.190 Loss 152152.0467 (avg:5823.6558) lr 0.000500
Epoch: [08/14][161/320] Time 3.283 Data 2.995 Loss 175943.2313 (avg:5821.5623) lr 0.000500
Epoch: [08/14][171/320] Time 3.028 Data 2.905 Loss 112426.1418 (avg:5817.3910) lr 0.000500
Epoch: [08/14][181/320] Time 3.604 Data 3.431 Loss 266616.6498 (avg:5845.0692) lr 0.000500
Epoch: [08/14][191/320] Time 3.468 Data 3.161 Loss 136395.1658 (avg:5849.8911) lr 0.000500
Epoch: [08/14][201/320] Time 3.305 Data 3.187 Loss 135150.1504 (avg:5833.4728) lr 0.000500
Epoch: [08/14][211/320] Time 3.542 Data 3.407 Loss 195555.8870 (avg:5794.2905) lr 0.000500
Epoch: [08/14][221/320] Time 2.817 Data 2.703 Loss 113331.2244 (avg:5785.0970) lr 0.000500
Epoch: [08/14][231/320] Time 3.072 Data 2.884 Loss 151433.6023 (avg:5766.2551) lr 0.000500
Epoch: [08/14][241/320] Time 3.113 Data 2.992 Loss 117510.7932 (avg:5766.3869) lr 0.000500
Epoch: [08/14][251/320] Time 3.074 Data 2.950 Loss 96711.4128 (avg:5736.9006) lr 0.000500
Epoch: [08/14][261/320] Time 3.207 Data 3.061 Loss 143728.0923 (avg:5789.5889) lr 0.000500
Epoch: [08/14][271/320] Time 3.092 Data 2.968 Loss 145324.7566 (avg:5799.8322) lr 0.000500
Epoch: [08/14][281/320] Time 3.142 Data 3.038 Loss 142494.0429 (avg:5773.4499) lr 0.000500
Epoch: [08/14][291/320] Time 3.789 Data 3.497 Loss 194069.9735 (avg:5785.4611) lr 0.000500
Epoch: [08/14][301/320] Time 2.704 Data 2.534 Loss 70475.6252 (avg:5774.5721) lr 0.000500
Epoch: [08/14][311/320] Time 3.120 Data 3.010 Loss 151922.7930 (avg:5795.0610) lr 0.000500
Epoch: [09/14][001/320] Time 3.388 Data 3.272 Loss 148459.8094 (avg:6185.8254) lr 0.000500
Epoch: [09/14][011/320] Time 2.995 Data 2.870 Loss 127676.0910 (avg:5386.8187) lr 0.000500
Epoch: [09/14][021/320] Time 3.022 Data 2.901 Loss 126194.6751 (avg:5486.2522) lr 0.000500
Epoch: [09/14][031/320] Time 3.856 Data 3.736 Loss 199437.0732 (avg:5770.2795) lr 0.000500
Epoch: [09/14][041/320] Time 3.027 Data 2.906 Loss 102069.4376 (avg:5490.5492) lr 0.000500
Epoch: [09/14][051/320] Time 2.923 Data 2.801 Loss 104243.1182 (avg:5444.3173) lr 0.000500
Epoch: [09/14][061/320] Time 3.143 Data 3.018 Loss 120349.3738 (avg:5514.8019) lr 0.000500
Epoch: [09/14][071/320] Time 3.537 Data 3.230 Loss 124797.2004 (avg:5514.4025) lr 0.000500
Epoch: [09/14][081/320] Time 3.234 Data 3.117 Loss 119318.2449 (avg:5550.7190) lr 0.000500
Epoch: [09/14][091/320] Time 3.330 Data 3.208 Loss 145391.9032 (avg:5639.5070) lr 0.000500
Epoch: [09/14][101/320] Time 3.381 Data 3.248 Loss 150751.7407 (avg:5719.8216) lr 0.000500
Epoch: [09/14][111/320] Time 3.185 Data 3.067 Loss 128726.3219 (avg:5696.9025) lr 0.000500
Epoch: [09/14][121/320] Time 3.047 Data 2.927 Loss 91467.9726 (avg:5627.0885) lr 0.000500
Epoch: [09/14][131/320] Time 3.559 Data 3.391 Loss 168399.5949 (avg:5635.1086) lr 0.000500
Epoch: [09/14][141/320] Time 3.319 Data 3.195 Loss 176970.9460 (avg:5614.8878) lr 0.000500
Epoch: [09/14][151/320] Time 3.130 Data 3.008 Loss 126265.7138 (avg:5648.2774) lr 0.000500
Epoch: [09/14][161/320] Time 3.058 Data 2.912 Loss 111109.8862 (avg:5664.9917) lr 0.000500
Epoch: [09/14][171/320] Time 3.186 Data 3.065 Loss 142177.5882 (avg:5696.1593) lr 0.000500
Epoch: [09/14][181/320] Time 3.602 Data 3.463 Loss 224015.7824 (avg:5674.0932) lr 0.000500
Epoch: [09/14][191/320] Time 3.287 Data 3.183 Loss 160248.9222 (avg:5652.9993) lr 0.000500
Epoch: [09/14][201/320] Time 2.931 Data 2.822 Loss 94579.1476 (avg:5651.8096) lr 0.000500
Epoch: [09/14][211/320] Time 3.070 Data 2.777 Loss 171251.9673 (avg:5660.6415) lr 0.000500
Epoch: [09/14][221/320] Time 3.377 Data 3.264 Loss 156183.5597 (avg:5654.0704) lr 0.000500
Epoch: [09/14][231/320] Time 2.822 Data 2.699 Loss 80476.4713 (avg:5669.1365) lr 0.000500
Epoch: [09/14][241/320] Time 3.370 Data 3.266 Loss 209338.6331 (avg:5698.9641) lr 0.000500
Epoch: [09/14][251/320] Time 3.408 Data 3.286 Loss 134326.9740 (avg:5702.4499) lr 0.000500
Epoch: [09/14][261/320] Time 3.182 Data 3.004 Loss 110003.4029 (avg:5707.2872) lr 0.000500
Epoch: [09/14][271/320] Time 3.475 Data 3.282 Loss 188760.4931 (avg:5715.8201) lr 0.000500
Epoch: [09/14][281/320] Time 2.957 Data 2.842 Loss 126720.5722 (avg:5708.0545) lr 0.000500
Epoch: [09/14][291/320] Time 3.309 Data 3.197 Loss 129875.5916 (avg:5701.7048) lr 0.000500
Epoch: [09/14][301/320] Time 3.281 Data 3.157 Loss 121215.6624 (avg:5711.9362) lr 0.000500
Epoch: [09/14][311/320] Time 2.925 Data 2.804 Loss 121681.9053 (avg:5703.8226) lr 0.000500
Epoch: [10/14][001/320] Time 3.211 Data 3.084 Loss 100517.8379 (avg:4188.2432) lr 0.000500
Epoch: [10/14][011/320] Time 3.206 Data 3.020 Loss 109230.9749 (avg:6534.8325) lr 0.000500
Epoch: [10/14][021/320] Time 3.570 Data 3.287 Loss 171393.5682 (avg:6097.5139) lr 0.000500
Epoch: [10/14][031/320] Time 3.584 Data 3.465 Loss 210624.5618 (avg:5859.8008) lr 0.000500
Epoch: [10/14][041/320] Time 3.229 Data 3.062 Loss 124254.5969 (avg:5877.3374) lr 0.000500
Epoch: [10/14][051/320] Time 2.809 Data 2.684 Loss 75926.7914 (avg:5842.9392) lr 0.000500
Epoch: [10/14][061/320] Time 2.805 Data 2.615 Loss 74567.0546 (avg:5741.1503) lr 0.000500
Epoch: [10/14][071/320] Time 3.156 Data 3.035 Loss 118729.2390 (avg:5748.4390) lr 0.000500
Epoch: [10/14][081/320] Time 2.891 Data 2.767 Loss 106889.9406 (avg:5687.4376) lr 0.000500
Epoch: [10/14][091/320] Time 3.039 Data 2.923 Loss 76945.9890 (avg:5637.2684) lr 0.000500
Epoch: [10/14][101/320] Time 3.406 Data 3.235 Loss 153980.9814 (avg:5609.4867) lr 0.000500
Epoch: [10/14][111/320] Time 3.036 Data 2.858 Loss 84268.9662 (avg:5586.0221) lr 0.000500
Epoch: [10/14][121/320] Time 3.262 Data 3.136 Loss 132336.7940 (avg:5568.8054) lr 0.000500
Epoch: [10/14][131/320] Time 2.748 Data 2.627 Loss 60940.1313 (avg:5576.8198) lr 0.000500
Epoch: [10/14][141/320] Time 3.583 Data 3.439 Loss 194688.0034 (avg:5571.5799) lr 0.000500
Epoch: [10/14][151/320] Time 3.007 Data 2.879 Loss 107476.4347 (avg:5499.4902) lr 0.000500
Epoch: [10/14][161/320] Time 3.040 Data 2.913 Loss 85389.4707 (avg:5505.3382) lr 0.000500
Epoch: [10/14][171/320] Time 3.672 Data 3.550 Loss 151975.5105 (avg:5567.5025) lr 0.000500
Epoch: [10/14][181/320] Time 3.189 Data 3.053 Loss 119247.1381 (avg:5586.8622) lr 0.000500
Epoch: [10/14][191/320] Time 2.721 Data 2.575 Loss 90154.1093 (avg:5603.2407) lr 0.000500
Epoch: [10/14][201/320] Time 3.146 Data 2.979 Loss 129558.4077 (avg:5610.7005) lr 0.000500
Epoch: [10/14][211/320] Time 3.180 Data 3.050 Loss 131920.0162 (avg:5637.6214) lr 0.000500
Epoch: [10/14][221/320] Time 3.174 Data 3.053 Loss 145936.2800 (avg:5626.1606) lr 0.000500
Epoch: [10/14][231/320] Time 3.438 Data 3.317 Loss 167827.6486 (avg:5643.4490) lr 0.000500
Epoch: [10/14][241/320] Time 3.566 Data 3.465 Loss 190513.3104 (avg:5657.2093) lr 0.000500
Epoch: [10/14][251/320] Time 3.010 Data 2.890 Loss 100913.6619 (avg:5633.0802) lr 0.000500
Epoch: [10/14][261/320] Time 2.842 Data 2.695 Loss 79187.6107 (avg:5604.0072) lr 0.000500
Epoch: [10/14][271/320] Time 3.548 Data 3.243 Loss 140597.1586 (avg:5626.2216) lr 0.000500
Epoch: [10/14][281/320] Time 3.127 Data 2.982 Loss 135531.6780 (avg:5602.2006) lr 0.000500
Epoch: [10/14][291/320] Time 3.031 Data 2.743 Loss 93462.0310 (avg:5616.5642) lr 0.000500
Epoch: [10/14][301/320] Time 3.189 Data 3.055 Loss 94146.5625 (avg:5622.3064) lr 0.000500
Epoch: [10/14][311/320] Time 3.616 Data 3.482 Loss 159599.3758 (avg:5636.4078) lr 0.000500
Epoch: [11/14][001/320] Time 3.464 Data 3.341 Loss 107366.9510 (avg:4473.6230) lr 0.000500
Epoch: [11/14][011/320] Time 3.160 Data 2.989 Loss 116884.7778 (avg:5828.9657) lr 0.000500
Epoch: [11/14][021/320] Time 2.957 Data 2.835 Loss 59585.7420 (avg:5775.9859) lr 0.000500
Epoch: [11/14][031/320] Time 3.284 Data 3.164 Loss 121856.9507 (avg:5494.2511) lr 0.000500
Epoch: [11/14][041/320] Time 3.401 Data 3.266 Loss 137349.0649 (avg:5373.2286) lr 0.000500
Epoch: [11/14][051/320] Time 3.064 Data 2.964 Loss 93784.6436 (avg:5242.6065) lr 0.000500
Epoch: [11/14][061/320] Time 2.860 Data 2.738 Loss 92050.6288 (avg:5361.3436) lr 0.000500
Epoch: [11/14][071/320] Time 3.416 Data 3.293 Loss 186001.2672 (avg:5401.5040) lr 0.000500
Epoch: [11/14][081/320] Time 2.871 Data 2.699 Loss 104013.0084 (avg:5441.1392) lr 0.000500
Epoch: [11/14][091/320] Time 3.246 Data 3.121 Loss 132195.2941 (avg:5477.8825) lr 0.000500
Epoch: [11/14][101/320] Time 3.314 Data 3.192 Loss 147832.9609 (avg:5477.0699) lr 0.000500
Epoch: [11/14][111/320] Time 3.265 Data 3.144 Loss 126027.5102 (avg:5405.3013) lr 0.000500
Epoch: [11/14][121/320] Time 3.295 Data 3.174 Loss 136378.3853 (avg:5430.5970) lr 0.000500
Epoch: [11/14][131/320] Time 3.028 Data 2.926 Loss 150524.6818 (avg:5444.1433) lr 0.000500
Epoch: [11/14][141/320] Time 2.919 Data 2.748 Loss 107582.2161 (avg:5422.4324) lr 0.000500
Epoch: [11/14][151/320] Time 3.382 Data 3.252 Loss 137663.5705 (avg:5434.4645) lr 0.000500
Epoch: [11/14][161/320] Time 3.704 Data 3.537 Loss 204517.9580 (avg:5476.2571) lr 0.000500
Epoch: [11/14][171/320] Time 3.141 Data 2.836 Loss 107917.0231 (avg:5463.0539) lr 0.000500
Epoch: [11/14][181/320] Time 2.833 Data 2.715 Loss 87262.1661 (avg:5434.7137) lr 0.000500
Epoch: [11/14][191/320] Time 2.874 Data 2.726 Loss 84101.1501 (avg:5434.8386) lr 0.000500
Epoch: [11/14][201/320] Time 3.097 Data 2.974 Loss 103358.5200 (avg:5399.2765) lr 0.000500
Epoch: [11/14][211/320] Time 3.219 Data 3.093 Loss 137541.7114 (avg:5401.6950) lr 0.000500
Epoch: [11/14][221/320] Time 3.618 Data 3.493 Loss 129861.0463 (avg:5419.8537) lr 0.000500
Epoch: [11/14][231/320] Time 3.052 Data 2.928 Loss 99577.7529 (avg:5444.1664) lr 0.000500
Epoch: [11/14][241/320] Time 2.784 Data 2.660 Loss 69334.1435 (avg:5435.8535) lr 0.000500
Epoch: [11/14][251/320] Time 3.226 Data 3.049 Loss 126936.2988 (avg:5472.0597) lr 0.000500
Epoch: [11/14][261/320] Time 3.713 Data 3.568 Loss 204950.0386 (avg:5517.0971) lr 0.000500
Epoch: [11/14][271/320] Time 3.501 Data 3.299 Loss 164018.4662 (avg:5525.7091) lr 0.000500
Epoch: [11/14][281/320] Time 2.997 Data 2.873 Loss 95158.0114 (avg:5545.7343) lr 0.000500
Epoch: [11/14][291/320] Time 3.359 Data 3.236 Loss 142718.5582 (avg:5549.2804) lr 0.000500
Epoch: [11/14][301/320] Time 3.025 Data 2.851 Loss 96208.6505 (avg:5541.3952) lr 0.000500
Epoch: [11/14][311/320] Time 3.621 Data 3.332 Loss 215392.4940 (avg:5555.6528) lr 0.000500
Epoch: [12/14][001/320] Time 3.386 Data 3.274 Loss 92124.7908 (avg:3838.5330) lr 0.000050
Epoch: [12/14][011/320] Time 3.430 Data 3.248 Loss 163368.1947 (avg:5287.2779) lr 0.000050
Epoch: [12/14][021/320] Time 2.942 Data 2.795 Loss 148395.9941 (avg:5648.1684) lr 0.000050
Epoch: [12/14][031/320] Time 2.952 Data 2.760 Loss 135981.1725 (avg:5831.4323) lr 0.000050
Epoch: [12/14][041/320] Time 3.248 Data 3.064 Loss 145967.8455 (avg:5866.7785) lr 0.000050
Epoch: [12/14][051/320] Time 2.918 Data 2.800 Loss 110279.2728 (avg:5783.5110) lr 0.000050
Epoch: [12/14][061/320] Time 3.263 Data 3.141 Loss 132174.0014 (avg:5795.6590) lr 0.000050
Epoch: [12/14][071/320] Time 3.493 Data 3.186 Loss 130098.5928 (avg:5714.5388) lr 0.000050
Epoch: [12/14][081/320] Time 3.310 Data 3.162 Loss 139323.6842 (avg:5689.4106) lr 0.000050
Epoch: [12/14][091/320] Time 3.177 Data 3.057 Loss 129658.4157 (avg:5522.5017) lr 0.000050
Epoch: [12/14][101/320] Time 2.748 Data 2.631 Loss 80835.7836 (avg:5493.2528) lr 0.000050
Epoch: [12/14][111/320] Time 3.340 Data 3.192 Loss 172893.6921 (avg:5603.7479) lr 0.000050
Epoch: [12/14][121/320] Time 2.851 Data 2.727 Loss 100792.5421 (avg:5570.7343) lr 0.000050
Epoch: [12/14][131/320] Time 3.283 Data 3.160 Loss 134526.2805 (avg:5541.7430) lr 0.000050
Epoch: [12/14][141/320] Time 3.051 Data 2.859 Loss 79260.3705 (avg:5531.0839) lr 0.000050
Epoch: [12/14][151/320] Time 3.264 Data 2.958 Loss 141785.3148 (avg:5548.3009) lr 0.000050
Epoch: [12/14][161/320] Time 3.136 Data 2.987 Loss 157942.3821 (avg:5554.3489) lr 0.000050
Epoch: [12/14][171/320] Time 3.083 Data 2.960 Loss 79473.0428 (avg:5595.6324) lr 0.000050
Epoch: [12/14][181/320] Time 2.932 Data 2.794 Loss 111242.2481 (avg:5603.7757) lr 0.000050
Epoch: [12/14][191/320] Time 2.970 Data 2.821 Loss 109994.5821 (avg:5602.0507) lr 0.000050
Epoch: [12/14][201/320] Time 3.194 Data 3.072 Loss 145878.3916 (avg:5603.7620) lr 0.000050
Epoch: [12/14][211/320] Time 3.217 Data 3.082 Loss 96257.4308 (avg:5593.6683) lr 0.000050
Epoch: [12/14][221/320] Time 3.260 Data 3.144 Loss 133882.3676 (avg:5535.0821) lr 0.000050
Epoch: [12/14][231/320] Time 3.658 Data 3.522 Loss 176838.6784 (avg:5516.3265) lr 0.000050
Epoch: [12/14][241/320] Time 3.346 Data 3.203 Loss 165651.3284 (avg:5517.4005) lr 0.000050
Epoch: [12/14][251/320] Time 3.045 Data 2.924 Loss 77124.7463 (avg:5539.5607) lr 0.000050
Epoch: [12/14][261/320] Time 3.165 Data 3.040 Loss 138128.2290 (avg:5535.1187) lr 0.000050
Epoch: [12/14][271/320] Time 3.541 Data 3.419 Loss 192710.8547 (avg:5533.4091) lr 0.000050
Epoch: [12/14][281/320] Time 3.327 Data 3.209 Loss 159906.2181 (avg:5551.0138) lr 0.000050
Epoch: [12/14][291/320] Time 3.525 Data 3.221 Loss 155958.4630 (avg:5550.2236) lr 0.000050
Epoch: [12/14][301/320] Time 3.092 Data 2.968 Loss 134088.7410 (avg:5527.2110) lr 0.000050
Epoch: [12/14][311/320] Time 3.197 Data 3.072 Loss 158475.6732 (avg:5527.1816) lr 0.000050
Epoch: [13/14][001/320] Time 3.878 Data 3.761 Loss 210273.7832 (avg:8761.4076) lr 0.000050
Epoch: [13/14][011/320] Time 2.953 Data 2.837 Loss 80076.8450 (avg:5879.4099) lr 0.000050
Epoch: [13/14][021/320] Time 3.340 Data 3.193 Loss 110235.0762 (avg:5646.7393) lr 0.000050
Epoch: [13/14][031/320] Time 3.143 Data 3.028 Loss 136070.4048 (avg:5646.6425) lr 0.000050
Epoch: [13/14][041/320] Time 3.189 Data 3.020 Loss 106901.7842 (avg:5519.0068) lr 0.000050
Epoch: [13/14][051/320] Time 2.869 Data 2.742 Loss 89142.0855 (avg:5486.1478) lr 0.000050
Epoch: [13/14][061/320] Time 3.240 Data 3.121 Loss 128880.5825 (avg:5451.8336) lr 0.000050
Epoch: [13/14][071/320] Time 3.166 Data 3.054 Loss 108935.8025 (avg:5539.0062) lr 0.000050
Epoch: [13/14][081/320] Time 3.009 Data 2.897 Loss 122210.7874 (avg:5546.0879) lr 0.000050
Epoch: [13/14][091/320] Time 3.056 Data 2.930 Loss 120716.2477 (avg:5496.1195) lr 0.000050
Epoch: [13/14][101/320] Time 3.194 Data 3.071 Loss 117490.7506 (avg:5492.7465) lr 0.000050
Epoch: [13/14][111/320] Time 3.201 Data 3.079 Loss 148736.2178 (avg:5554.9503) lr 0.000050
Epoch: [13/14][121/320] Time 2.808 Data 2.679 Loss 101797.5212 (avg:5451.5086) lr 0.000050
Epoch: [13/14][131/320] Time 3.100 Data 2.976 Loss 89640.5506 (avg:5490.4923) lr 0.000050
Epoch: [13/14][141/320] Time 3.139 Data 3.016 Loss 129523.9102 (avg:5491.6133) lr 0.000050
Epoch: [13/14][151/320] Time 2.996 Data 2.710 Loss 99855.7593 (avg:5492.8271) lr 0.000050
Epoch: [13/14][161/320] Time 2.636 Data 2.520 Loss 85458.6894 (avg:5492.7821) lr 0.000050
Epoch: [13/14][171/320] Time 3.196 Data 3.073 Loss 127740.9758 (avg:5468.2312) lr 0.000050
Epoch: [13/14][181/320] Time 3.492 Data 3.373 Loss 179020.1090 (avg:5462.7311) lr 0.000050
Epoch: [13/14][191/320] Time 3.119 Data 2.976 Loss 103583.0787 (avg:5421.0593) lr 0.000050
Epoch: [13/14][201/320] Time 3.439 Data 3.314 Loss 147157.5684 (avg:5415.2739) lr 0.000050
Epoch: [13/14][211/320] Time 3.672 Data 3.487 Loss 184295.8343 (avg:5400.0503) lr 0.000050
Epoch: [13/14][221/320] Time 3.286 Data 2.985 Loss 148079.3033 (avg:5383.3406) lr 0.000050
Epoch: [13/14][231/320] Time 3.094 Data 2.971 Loss 144031.1168 (avg:5387.4314) lr 0.000050
Epoch: [13/14][241/320] Time 3.411 Data 3.272 Loss 130038.2474 (avg:5431.8860) lr 0.000050
Epoch: [13/14][251/320] Time 2.783 Data 2.598 Loss 81648.8357 (avg:5467.5358) lr 0.000050
Epoch: [13/14][261/320] Time 2.900 Data 2.776 Loss 86509.6489 (avg:5459.6329) lr 0.000050
Epoch: [13/14][271/320] Time 3.237 Data 3.119 Loss 129699.7461 (avg:5485.8958) lr 0.000050
Epoch: [13/14][281/320] Time 3.216 Data 3.078 Loss 172047.7346 (avg:5507.5202) lr 0.000050
Epoch: [13/14][291/320] Time 3.210 Data 3.019 Loss 182695.6284 (avg:5505.9041) lr 0.000050
Epoch: [13/14][301/320] Time 3.157 Data 3.039 Loss 99332.1694 (avg:5514.2606) lr 0.000050
Epoch: [13/14][311/320] Time 3.514 Data 3.393 Loss 154863.7124 (avg:5530.3335) lr 0.000050