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Apr 9th, 2020
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  1. Using only one organ center!
  2. Starting epoch 1...
  3. 100% 324/324 [00:39<00:00,  8.19it/s, Batch loss=188]
  4. 100% 68/68 [00:05<00:00, 13.36it/s]
  5. The accuracy on the non masked validation set is 6.77
  6. 100% 68/68 [00:06<00:00, 10.60it/s]
  7. The accuracy on the masked validation set is 1.4
  8. ======================
  9. Found new best with avg accuracy: 4.09 on epoch 1. Saving model!!!
  10. ======================
  11. Saving intermediate checkpoint...
  12. Starting epoch 2...
  13. 100% 324/324 [00:39<00:00,  8.23it/s, Batch loss=144]
  14. 100% 68/68 [00:05<00:00, 13.34it/s]
  15. The accuracy on the non masked validation set is 6.78
  16. 100% 68/68 [00:06<00:00, 10.70it/s]
  17. The accuracy on the masked validation set is 2.1
  18. ======================
  19. Found new best with avg accuracy: 4.44 on epoch 2. Saving model!!!
  20. ======================
  21. Saving intermediate checkpoint...
  22. Starting epoch 3...
  23. 100% 324/324 [00:39<00:00,  8.22it/s, Batch loss=168]
  24. 100% 68/68 [00:05<00:00, 13.34it/s]
  25. The accuracy on the non masked validation set is 6.84
  26. 100% 68/68 [00:06<00:00, 10.72it/s]
  27. The accuracy on the masked validation set is 2.11
  28. ======================
  29. Found new best with avg accuracy: 4.48 on epoch 3. Saving model!!!
  30. ======================
  31. Saving intermediate checkpoint...
  32. Starting epoch 4...
  33. 100% 324/324 [00:38<00:00,  8.32it/s, Batch loss=134]
  34. 100% 68/68 [00:05<00:00, 13.43it/s]
  35. The accuracy on the non masked validation set is 6.76
  36. 100% 68/68 [00:06<00:00, 10.72it/s]
  37. The accuracy on the masked validation set is 1.98
  38. Avg accuracy on epoch 4 is: 4.37
  39. Saving intermediate checkpoint...
  40. Starting epoch 5...
  41. 100% 324/324 [00:38<00:00,  8.32it/s, Batch loss=148]
  42. 100% 68/68 [00:05<00:00, 13.26it/s]
  43. The accuracy on the non masked validation set is 6.77
  44. 100% 68/68 [00:06<00:00, 10.85it/s]
  45. The accuracy on the masked validation set is 1.74
  46. Avg accuracy on epoch 5 is: 4.25
  47. Saving intermediate checkpoint...
  48. Starting epoch 6...
  49. 100% 324/324 [00:38<00:00,  8.34it/s, Batch loss=136]
  50. 100% 68/68 [00:05<00:00, 13.33it/s]
  51. The accuracy on the non masked validation set is 6.79
  52. 100% 68/68 [00:06<00:00, 10.69it/s]
  53. The accuracy on the masked validation set is 2.25
  54. ======================
  55. Found new best with avg accuracy: 4.52 on epoch 6. Saving model!!!
  56. ======================
  57. Saving intermediate checkpoint...
  58. Starting epoch 7...
  59. 100% 324/324 [00:39<00:00,  8.24it/s, Batch loss=131]
  60. 100% 68/68 [00:05<00:00, 13.33it/s]
  61. The accuracy on the non masked validation set is 6.9
  62. 100% 68/68 [00:06<00:00, 10.79it/s]
  63. The accuracy on the masked validation set is 2.84
  64. ======================
  65. Found new best with avg accuracy: 4.87 on epoch 7. Saving model!!!
  66. ======================
  67. Saving intermediate checkpoint...
  68. Starting epoch 8...
  69. 100% 324/324 [00:39<00:00,  8.22it/s, Batch loss=124]
  70. 100% 68/68 [00:05<00:00, 13.50it/s]
  71. The accuracy on the non masked validation set is 7.03
  72. 100% 68/68 [00:06<00:00, 10.73it/s]
  73. The accuracy on the masked validation set is 3.94
  74. ======================
  75. Found new best with avg accuracy: 5.49 on epoch 8. Saving model!!!
  76. ======================
  77. Saving intermediate checkpoint...
  78. Starting epoch 9...
  79. 100% 324/324 [00:39<00:00,  8.22it/s, Batch loss=132]
  80. 100% 68/68 [00:05<00:00, 13.29it/s]
  81. The accuracy on the non masked validation set is 9.1
  82. 100% 68/68 [00:06<00:00, 10.77it/s]
  83. The accuracy on the masked validation set is 4.4
  84. ======================
  85. Found new best with avg accuracy: 6.75 on epoch 9. Saving model!!!
  86. ======================
  87. Saving intermediate checkpoint...
  88. Starting epoch 10...
  89. 100% 324/324 [00:39<00:00,  8.25it/s, Batch loss=116]
  90. 100% 68/68 [00:05<00:00, 13.16it/s]
  91. The accuracy on the non masked validation set is 7.87
  92. 100% 68/68 [00:06<00:00, 10.59it/s]
  93. The accuracy on the masked validation set is 4.47
  94. Avg accuracy on epoch 10 is: 6.17
  95. Saving intermediate checkpoint...
  96. Starting epoch 11...
  97. 100% 324/324 [00:39<00:00,  8.22it/s, Batch loss=146]
  98. 100% 68/68 [00:05<00:00, 13.44it/s]
  99. The accuracy on the non masked validation set is 6.99
  100. 100% 68/68 [00:06<00:00, 10.85it/s]
  101. The accuracy on the masked validation set is 2.69
  102. Avg accuracy on epoch 11 is: 4.84
  103. Saving intermediate checkpoint...
  104. Starting epoch 12...
  105. 100% 324/324 [00:39<00:00,  8.19it/s, Batch loss=129]
  106. 100% 68/68 [00:05<00:00, 13.37it/s]
  107. The accuracy on the non masked validation set is 7.0
  108. 100% 68/68 [00:06<00:00, 10.81it/s]
  109. The accuracy on the masked validation set is 2.82
  110. Avg accuracy on epoch 12 is: 4.91
  111. Saving intermediate checkpoint...
  112. Starting epoch 13...
  113. 100% 324/324 [00:39<00:00,  8.16it/s, Batch loss=108]
  114. 100% 68/68 [00:05<00:00, 13.35it/s]
  115. The accuracy on the non masked validation set is 6.99
  116. 100% 68/68 [00:06<00:00, 10.71it/s]
  117. The accuracy on the masked validation set is 2.84
  118. Avg accuracy on epoch 13 is: 4.91
  119. Saving intermediate checkpoint...
  120. Starting epoch 14...
  121. 100% 324/324 [00:39<00:00,  8.20it/s, Batch loss=139]
  122. 100% 68/68 [00:05<00:00, 13.50it/s]
  123. The accuracy on the non masked validation set is 7.15
  124. 100% 68/68 [00:06<00:00, 10.79it/s]
  125. The accuracy on the masked validation set is 3.68
  126. Avg accuracy on epoch 14 is: 5.41
  127. Saving intermediate checkpoint...
  128. Starting epoch 15...
  129. 100% 324/324 [00:39<00:00,  8.16it/s, Batch loss=121]
  130. 100% 68/68 [00:05<00:00, 13.44it/s]
  131. The accuracy on the non masked validation set is 7.48
  132. 100% 68/68 [00:06<00:00, 10.82it/s]
  133. The accuracy on the masked validation set is 3.8
  134. Avg accuracy on epoch 15 is: 5.64
  135. Saving intermediate checkpoint...
  136. Starting epoch 16...
  137. 100% 324/324 [00:39<00:00,  8.19it/s, Batch loss=125]
  138. 100% 68/68 [00:05<00:00, 13.43it/s]
  139. The accuracy on the non masked validation set is 7.94
  140. 100% 68/68 [00:06<00:00, 10.69it/s]
  141. The accuracy on the masked validation set is 3.84
  142. Avg accuracy on epoch 16 is: 5.89
  143. Saving intermediate checkpoint...
  144. Starting epoch 17...
  145. 100% 324/324 [00:39<00:00,  8.19it/s, Batch loss=106]
  146. 100% 68/68 [00:05<00:00, 13.26it/s]
  147. The accuracy on the non masked validation set is 7.99
  148. 100% 68/68 [00:06<00:00, 10.79it/s]
  149. The accuracy on the masked validation set is 3.41
  150. Avg accuracy on epoch 17 is: 5.7
  151. Saving intermediate checkpoint...
  152. Starting epoch 18...
  153. 100% 324/324 [00:39<00:00,  8.17it/s, Batch loss=91.2]
  154. 100% 68/68 [00:05<00:00, 13.41it/s]
  155. The accuracy on the non masked validation set is 11.4
  156. 100% 68/68 [00:06<00:00, 10.72it/s]
  157. The accuracy on the masked validation set is 3.4
  158. ======================
  159. Found new best with avg accuracy: 7.4 on epoch 18. Saving model!!!
  160. ======================
  161. Saving intermediate checkpoint...
  162. Starting epoch 19...
  163. 100% 324/324 [00:39<00:00,  8.18it/s, Batch loss=71.8]
  164. 100% 68/68 [00:05<00:00, 13.37it/s]
  165. The accuracy on the non masked validation set is 19.59
  166. 100% 68/68 [00:06<00:00, 10.73it/s]
  167. The accuracy on the masked validation set is 6.18
  168. ======================
  169. Found new best with avg accuracy: 12.89 on epoch 19. Saving model!!!
  170. ======================
  171. Saving intermediate checkpoint...
  172. Starting epoch 20...
  173. 100% 324/324 [00:40<00:00,  7.93it/s, Batch loss=111]
  174. 100% 68/68 [00:05<00:00, 13.25it/s]
  175. The accuracy on the non masked validation set is 23.13
  176. 100% 68/68 [00:06<00:00, 10.65it/s]
  177. The accuracy on the masked validation set is 8.91
  178. ======================
  179. Found new best with avg accuracy: 16.02 on epoch 20. Saving model!!!
  180. ======================
  181. Saving intermediate checkpoint...
  182. Starting epoch 21...
  183. 100% 324/324 [00:40<00:00,  8.05it/s, Batch loss=95.6]
  184. 100% 68/68 [00:05<00:00, 13.29it/s]
  185. The accuracy on the non masked validation set is 25.93
  186. 100% 68/68 [00:06<00:00, 10.87it/s]
  187. The accuracy on the masked validation set is 9.93
  188. ======================
  189. Found new best with avg accuracy: 17.93 on epoch 21. Saving model!!!
  190. ======================
  191. Saving intermediate checkpoint...
  192. Starting epoch 22...
  193. 100% 324/324 [00:39<00:00,  8.16it/s, Batch loss=110]
  194. 100% 68/68 [00:05<00:00, 13.16it/s]
  195. The accuracy on the non masked validation set is 25.77
  196. 100% 68/68 [00:06<00:00, 10.75it/s]
  197. The accuracy on the masked validation set is 9.55
  198. Avg accuracy on epoch 22 is: 17.66
  199. Saving intermediate checkpoint...
  200. Starting epoch 23...
  201. 100% 324/324 [00:40<00:00,  8.06it/s, Batch loss=80]
  202. 100% 68/68 [00:05<00:00, 13.32it/s]
  203. The accuracy on the non masked validation set is 31.16
  204. 100% 68/68 [00:06<00:00, 10.58it/s]
  205. The accuracy on the masked validation set is 13.91
  206. ======================
  207. Found new best with avg accuracy: 22.53 on epoch 23. Saving model!!!
  208. ======================
  209. Saving intermediate checkpoint...
  210. Starting epoch 24...
  211. 100% 324/324 [00:39<00:00,  8.18it/s, Batch loss=77.6]
  212. 100% 68/68 [00:05<00:00, 13.41it/s]
  213. The accuracy on the non masked validation set is 39.44
  214. 100% 68/68 [00:06<00:00, 10.74it/s]
  215. The accuracy on the masked validation set is 16.39
  216. ======================
  217. Found new best with avg accuracy: 27.91 on epoch 24. Saving model!!!
  218. ======================
  219. Saving intermediate checkpoint...
  220. Starting epoch 25...
  221. 100% 324/324 [00:39<00:00,  8.12it/s, Batch loss=81.7]
  222. 100% 68/68 [00:05<00:00, 13.52it/s]
  223. The accuracy on the non masked validation set is 42.36
  224. 100% 68/68 [00:06<00:00, 10.62it/s]
  225. The accuracy on the masked validation set is 17.49
  226. ======================
  227. Found new best with avg accuracy: 29.93 on epoch 25. Saving model!!!
  228. ======================
  229. Saving intermediate checkpoint...
  230. Starting epoch 26...
  231. 100% 324/324 [00:39<00:00,  8.10it/s, Batch loss=62]
  232. 100% 68/68 [00:05<00:00, 13.45it/s]
  233. The accuracy on the non masked validation set is 41.16
  234. 100% 68/68 [00:06<00:00, 10.87it/s]
  235. The accuracy on the masked validation set is 19.26
  236. ======================
  237. Found new best with avg accuracy: 30.21 on epoch 26. Saving model!!!
  238. ======================
  239. Saving intermediate checkpoint...
  240. Starting epoch 27...
  241. 100% 324/324 [00:39<00:00,  8.14it/s, Batch loss=61.9]
  242. 100% 68/68 [00:05<00:00, 13.42it/s]
  243. The accuracy on the non masked validation set is 46.05
  244. 100% 68/68 [00:06<00:00, 10.67it/s]
  245. The accuracy on the masked validation set is 21.59
  246. ======================
  247. Found new best with avg accuracy: 33.82 on epoch 27. Saving model!!!
  248. ======================
  249. Saving intermediate checkpoint...
  250. Starting epoch 28...
  251. 100% 324/324 [00:39<00:00,  8.13it/s, Batch loss=63.2]
  252. 100% 68/68 [00:05<00:00, 13.53it/s]
  253. The accuracy on the non masked validation set is 56.2
  254. 100% 68/68 [00:06<00:00, 10.92it/s]
  255. The accuracy on the masked validation set is 27.57
  256. ======================
  257. Found new best with avg accuracy: 41.89 on epoch 28. Saving model!!!
  258. ======================
  259. Saving intermediate checkpoint...
  260. Starting epoch 29...
  261. 100% 324/324 [00:40<00:00,  8.07it/s, Batch loss=51.1]
  262. 100% 68/68 [00:05<00:00, 13.51it/s]
  263. The accuracy on the non masked validation set is 57.23
  264. 100% 68/68 [00:06<00:00, 10.88it/s]
  265. The accuracy on the masked validation set is 29.45
  266. ======================
  267. Found new best with avg accuracy: 43.34 on epoch 29. Saving model!!!
  268. ======================
  269. Saving intermediate checkpoint...
  270. Starting epoch 30...
  271. 100% 324/324 [00:39<00:00,  8.18it/s, Batch loss=91.2]
  272. 100% 68/68 [00:05<00:00, 13.48it/s]
  273. The accuracy on the non masked validation set is 57.01
  274. 100% 68/68 [00:06<00:00, 10.75it/s]
  275. The accuracy on the masked validation set is 30.06
  276. ======================
  277. Found new best with avg accuracy: 43.53 on epoch 30. Saving model!!!
  278. ======================
  279. Saving intermediate checkpoint...
  280. Starting epoch 31...
  281. 100% 324/324 [00:39<00:00,  8.16it/s, Batch loss=57.4]
  282. 100% 68/68 [00:05<00:00, 13.28it/s]
  283. The accuracy on the non masked validation set is 57.66
  284. 100% 68/68 [00:06<00:00, 10.76it/s]
  285. The accuracy on the masked validation set is 30.76
  286. ======================
  287. Found new best with avg accuracy: 44.21 on epoch 31. Saving model!!!
  288. ======================
  289. Saving intermediate checkpoint...
  290. Starting epoch 32...
  291. 100% 324/324 [00:39<00:00,  8.12it/s, Batch loss=61]
  292. 100% 68/68 [00:05<00:00, 13.46it/s]
  293. The accuracy on the non masked validation set is 60.45
  294. 100% 68/68 [00:06<00:00, 10.70it/s]
  295. The accuracy on the masked validation set is 31.16
  296. ======================
  297. Found new best with avg accuracy: 45.8 on epoch 32. Saving model!!!
  298. ======================
  299. Saving intermediate checkpoint...
  300. Starting epoch 33...
  301. 100% 324/324 [00:40<00:00,  8.02it/s, Batch loss=46.9]
  302. 100% 68/68 [00:05<00:00, 13.42it/s]
  303. The accuracy on the non masked validation set is 61.62
  304. 100% 68/68 [00:06<00:00, 10.83it/s]
  305. The accuracy on the masked validation set is 30.03
  306. ======================
  307. Found new best with avg accuracy: 45.83 on epoch 33. Saving model!!!
  308. ======================
  309. Saving intermediate checkpoint...
  310. Starting epoch 34...
  311. 100% 324/324 [00:39<00:00,  8.12it/s, Batch loss=79.6]
  312. 100% 68/68 [00:05<00:00, 13.36it/s]
  313. The accuracy on the non masked validation set is 67.02
  314. 100% 68/68 [00:06<00:00, 10.76it/s]
  315. The accuracy on the masked validation set is 32.37
  316. ======================
  317. Found new best with avg accuracy: 49.7 on epoch 34. Saving model!!!
  318. ======================
  319. Saving intermediate checkpoint...
  320. Starting epoch 35...
  321. 100% 324/324 [00:40<00:00,  8.08it/s, Batch loss=52.8]
  322. 100% 68/68 [00:05<00:00, 13.51it/s]
  323. The accuracy on the non masked validation set is 63.44
  324. 100% 68/68 [00:06<00:00, 10.82it/s]
  325. The accuracy on the masked validation set is 33.02
  326. Avg accuracy on epoch 35 is: 48.23
  327. Saving intermediate checkpoint...
  328. Starting epoch 36...
  329. 100% 324/324 [00:39<00:00,  8.14it/s, Batch loss=48.4]
  330. 100% 68/68 [00:04<00:00, 13.62it/s]
  331. The accuracy on the non masked validation set is 65.43
  332. 100% 68/68 [00:06<00:00, 10.70it/s]
  333. The accuracy on the masked validation set is 33.97
  334. Avg accuracy on epoch 36 is: 49.7
  335. Saving intermediate checkpoint...
  336. Starting epoch 37...
  337. 100% 324/324 [00:39<00:00,  8.16it/s, Batch loss=37.6]
  338. 100% 68/68 [00:05<00:00, 13.43it/s]
  339. The accuracy on the non masked validation set is 66.52
  340. 100% 68/68 [00:06<00:00, 10.61it/s]
  341. The accuracy on the masked validation set is 33.91
  342. ======================
  343. Found new best with avg accuracy: 50.21 on epoch 37. Saving model!!!
  344. ======================
  345. Saving intermediate checkpoint...
  346. Starting epoch 38...
  347. 100% 324/324 [00:39<00:00,  8.15it/s, Batch loss=74.3]
  348. 100% 68/68 [00:05<00:00, 13.42it/s]
  349. The accuracy on the non masked validation set is 65.6
  350. 100% 68/68 [00:06<00:00, 10.85it/s]
  351. The accuracy on the masked validation set is 33.54
  352. Avg accuracy on epoch 38 is: 49.57
  353. Saving intermediate checkpoint...
  354. Starting epoch 39...
  355. 100% 324/324 [00:39<00:00,  8.15it/s, Batch loss=41.1]
  356. 100% 68/68 [00:05<00:00, 13.37it/s]
  357. The accuracy on the non masked validation set is 66.52
  358. 100% 68/68 [00:06<00:00, 10.89it/s]
  359. The accuracy on the masked validation set is 34.39
  360. ======================
  361. Found new best with avg accuracy: 50.45 on epoch 39. Saving model!!!
  362. ======================
  363. Saving intermediate checkpoint...
  364. Starting epoch 40...
  365. 100% 324/324 [00:40<00:00,  8.10it/s, Batch loss=41.7]
  366. 100% 68/68 [00:05<00:00, 13.36it/s]
  367. The accuracy on the non masked validation set is 66.39
  368. 100% 68/68 [00:06<00:00, 10.85it/s]
  369. The accuracy on the masked validation set is 36.0
  370. ======================
  371. Found new best with avg accuracy: 51.2 on epoch 40. Saving model!!!
  372. ======================
  373. Saving intermediate checkpoint...
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