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876 lines (874 loc) · 57.8 KB
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2020-03-08 16:33:08,462:INFO: Loading the datasets...
2020-03-08 16:33:12,302:INFO: -done
2020-03-08 16:34:10,658:INFO: Loading the datasets...
2020-03-08 16:34:10,658:INFO: -done
2020-03-08 16:36:17,596:INFO: Loading the datasets...
2020-03-08 16:36:17,596:INFO: -done
2020-03-08 16:40:37,661:INFO: Loading the datasets...
2020-03-08 16:40:37,661:INFO: -done
2020-03-08 16:42:37,733:INFO: Loading the datasets...
2020-03-08 16:42:37,734:INFO: -done
2020-03-08 16:43:04,166:INFO: Loading the datasets...
2020-03-08 16:43:04,166:INFO: -done
2020-03-08 16:44:24,057:INFO: Loading the datasets...
2020-03-08 16:44:24,057:INFO: -done
2020-03-08 16:44:53,328:INFO: Loading the datasets...
2020-03-08 16:44:53,328:INFO: -done
2020-03-08 16:45:56,859:INFO: Loading the datasets...
2020-03-08 16:45:56,859:INFO: -done
2020-03-08 16:46:06,582:INFO: Starting MAML for 100 meta epoch(s)
2020-03-08 16:47:08,621:INFO: Loading the datasets...
2020-03-08 16:47:08,622:INFO: -done
2020-03-08 16:47:08,756:INFO: Starting MAML for 100 meta epoch(s)
2020-03-08 16:52:56,978:INFO: Loading the datasets...
2020-03-08 16:52:56,978:INFO: -done
2020-03-08 16:52:57,144:INFO: Starting MAML for 20 meta epoch(s)
2020-03-08 16:54:52,070:INFO: Loading the datasets...
2020-03-08 16:54:52,070:INFO: -done
2020-03-08 16:54:52,206:INFO: Starting MAML for 20 meta epoch(s)
2020-03-08 16:58:09,173:INFO: Loading the datasets...
2020-03-08 16:58:09,173:INFO: -done
2020-03-08 16:58:09,305:INFO: Starting MAML for 20 meta epoch(s)
2020-03-08 16:59:09,457:INFO: Meta epoch 0...
2020-03-08 20:57:23,892:INFO: Loading the datasets...
2020-03-08 20:57:23,892:INFO: -done
2020-03-08 20:57:24,052:INFO: Starting MAML for 20 meta epoch(s)
2020-03-08 20:59:29,226:INFO: Loading the datasets...
2020-03-08 20:59:29,227:INFO: -done
2020-03-08 20:59:29,382:INFO: Starting MAML for 20 meta epoch(s)
2020-03-08 21:00:05,518:INFO: Meta epoch 0...
2020-03-08 21:07:25,359:INFO: Loading the datasets...
2020-03-08 21:07:25,359:INFO: -done
2020-03-08 21:07:25,492:INFO: Starting MAML for 20 meta epoch(s)
2020-03-08 21:07:31,856:INFO: Meta epoch 0...
2020-03-08 21:14:00,475:INFO: Loading the datasets...
2020-03-08 21:14:00,475:INFO: -done
2020-03-08 21:14:00,609:INFO: Starting MAML for 20 meta epoch(s)
2020-03-08 21:14:06,864:INFO: Meta epoch 0...
2020-03-08 21:18:05,424:INFO: Loading the datasets...
2020-03-08 21:18:05,424:INFO: -done
2020-03-08 21:18:05,556:INFO: Starting MAML for 20 meta epoch(s)
2020-03-08 21:18:11,876:INFO: Meta epoch 0...
2020-03-08 21:18:38,256:INFO: Meta batch loss: 234.57298278808594
2020-03-08 21:18:41,580:INFO: Average inner loss after inner updates : 234.5729777018229
2020-03-08 21:21:28,034:INFO: Loading the datasets...
2020-03-08 21:21:28,035:INFO: -done
2020-03-08 21:21:28,168:INFO: Starting MAML for 20 meta epoch(s)
2020-03-08 21:21:34,515:INFO: Meta epoch 0...
2020-03-08 21:21:40,107:INFO: Meta batch loss: 236.5811004638672
2020-03-08 21:21:40,108:INFO: Average inner loss after inner updates : 236.58110555013022
2020-03-08 21:35:48,387:INFO: Loading the datasets...
2020-03-08 21:35:48,387:INFO: -done
2020-03-08 21:35:48,519:INFO: Starting MAML for 20 meta epoch(s)
2020-03-08 21:35:54,637:INFO: Meta epoch 0...
2020-03-08 21:36:00,553:INFO: Meta batch loss: 237.7696990966797
2020-03-08 21:36:00,553:INFO: Average inner loss after inner updates : 237.76969401041666
2020-03-08 21:37:28,291:INFO: Loading the datasets...
2020-03-08 21:37:28,291:INFO: -done
2020-03-08 21:37:28,425:INFO: Starting MAML for 20 meta epoch(s)
2020-03-08 21:37:35,298:INFO: Meta epoch 0...
2020-03-08 21:37:41,207:INFO: Meta batch loss: 235.09735107421875
2020-03-08 21:37:41,207:INFO: Average inner loss after inner updates : 235.09735616048178
2020-03-08 22:05:10,542:INFO: Loading the datasets...
2020-03-08 22:05:10,542:INFO: -done
2020-03-08 22:05:10,677:INFO: Starting MAML for 20 meta epoch(s)
2020-03-08 22:05:17,573:INFO: Meta epoch 0...
2020-03-08 22:06:57,586:INFO: Loading the datasets...
2020-03-08 22:06:57,587:INFO: -done
2020-03-08 22:06:57,720:INFO: Starting MAML for 20 meta epoch(s)
2020-03-08 22:07:04,423:INFO: Meta epoch 0...
2020-03-08 22:07:10,773:INFO: Meta batch loss: 232.7193145751953
2020-03-08 22:07:10,773:INFO: Average inner loss after inner updates : 232.71931966145834
2020-03-08 22:09:17,504:INFO: Loading the datasets...
2020-03-08 22:09:17,504:INFO: -done
2020-03-08 22:09:17,641:INFO: Starting MAML for 20 meta epoch(s)
2020-03-08 22:09:24,272:INFO: Meta epoch 0...
2020-03-08 22:09:30,358:INFO: Meta batch loss: 236.7675018310547
2020-03-08 22:09:30,358:INFO: Average inner loss after inner updates : 236.76749165852866
2020-03-08 22:27:00,988:INFO: Loading the datasets...
2020-03-08 22:27:00,988:INFO: -done
2020-03-08 22:27:01,122:INFO: Starting MAML for 20 meta epoch(s)
2020-03-08 22:27:07,498:INFO: Meta epoch 0...
2020-03-08 22:27:13,167:INFO: Meta batch loss: 234.4473114013672
2020-03-08 22:27:13,168:INFO: Average inner loss after inner updates : 234.4473114013672
2020-03-08 22:29:32,853:INFO: Loading the datasets...
2020-03-08 22:29:32,853:INFO: -done
2020-03-08 22:29:32,985:INFO: Starting MAML for 20 meta epoch(s)
2020-03-08 22:29:39,237:INFO: Meta epoch 0...
2020-03-08 22:29:44,747:INFO: Meta batch loss: 235.3473663330078
2020-03-08 22:29:44,748:INFO: Average inner loss after inner updates : 235.34737141927084
2020-03-08 22:38:53,026:INFO: Loading the datasets...
2020-03-08 22:38:53,026:INFO: -done
2020-03-08 22:38:53,158:INFO: Starting MAML for 20 meta epoch(s)
2020-03-08 22:38:59,412:INFO: Meta epoch 0...
2020-03-08 22:39:05,446:INFO: Meta batch loss: 234.2082061767578
2020-03-08 22:39:05,446:INFO: Average inner loss after inner updates : 234.20822143554688
2020-03-08 22:51:33,942:INFO: Loading the datasets...
2020-03-08 22:51:33,943:INFO: -done
2020-03-08 22:51:34,077:INFO: Starting MAML for 20 meta epoch(s)
2020-03-08 22:51:40,444:INFO: Meta epoch 0...
2020-03-08 22:51:46,567:INFO: Meta batch loss: 236.2438201904297
2020-03-08 22:51:46,567:INFO: Average inner loss after inner updates : 236.24382527669272
2020-03-08 22:54:17,174:INFO: Loading the datasets...
2020-03-08 22:54:17,174:INFO: -done
2020-03-08 22:54:17,306:INFO: Starting MAML for 20 meta epoch(s)
2020-03-08 22:54:23,474:INFO: Meta epoch 0...
2020-03-08 22:54:28,939:INFO: Meta batch loss: 238.4343719482422
2020-03-08 22:54:28,940:INFO: Average inner loss after inner updates : 238.43436686197916
2020-03-08 22:55:33,789:INFO: Loading the datasets...
2020-03-08 22:55:33,789:INFO: -done
2020-03-08 22:55:33,921:INFO: Starting MAML for 20 meta epoch(s)
2020-03-08 22:55:40,073:INFO: Meta epoch 0...
2020-03-08 22:55:45,582:INFO: Meta batch loss: 235.6689910888672
2020-03-08 22:55:45,582:INFO: Average inner loss after inner updates : 235.66898600260416
2020-03-08 22:57:05,191:INFO: Loading the datasets...
2020-03-08 22:57:05,191:INFO: -done
2020-03-08 22:57:05,324:INFO: Starting MAML for 20 meta epoch(s)
2020-03-08 22:57:11,493:INFO: Meta epoch 0...
2020-03-08 22:57:17,000:INFO: Meta batch loss: 236.18824768066406
2020-03-08 22:57:17,000:INFO: Average inner loss after inner updates : 236.1882578531901
2020-03-08 22:58:51,074:INFO: Loading the datasets...
2020-03-08 22:58:51,074:INFO: -done
2020-03-08 22:58:51,207:INFO: Starting MAML for 20 meta epoch(s)
2020-03-08 22:58:57,269:INFO: Meta epoch 0...
2020-03-08 22:59:03,276:INFO: Meta batch loss: 233.8362579345703
2020-03-08 22:59:03,276:INFO: Average inner loss after inner updates : 233.83626810709634
2020-03-08 23:02:29,252:INFO: Loading the datasets...
2020-03-08 23:02:29,252:INFO: -done
2020-03-08 23:02:29,386:INFO: Starting MAML for 20 meta epoch(s)
2020-03-08 23:02:35,623:INFO: Meta epoch 0...
2020-03-08 23:02:41,555:INFO: Meta batch loss: 235.9452362060547
2020-03-08 23:02:41,555:INFO: Average inner loss after inner updates : 235.94523111979166
2020-03-08 23:27:09,036:INFO: Loading the datasets...
2020-03-08 23:27:09,036:INFO: -done
2020-03-08 23:27:09,168:INFO: Starting MAML for 20 meta epoch(s)
2020-03-08 23:27:15,386:INFO: Meta epoch 0...
2020-03-08 23:27:21,029:INFO: Meta batch loss: 233.3611297607422
2020-03-08 23:27:21,029:INFO: Average inner loss after inner updates : 233.3611094156901
2020-03-08 23:28:36,649:INFO: Loading the datasets...
2020-03-08 23:28:36,649:INFO: -done
2020-03-08 23:28:36,782:INFO: Starting MAML for 20 meta epoch(s)
2020-03-08 23:28:43,036:INFO: Meta epoch 0...
2020-03-08 23:28:48,632:INFO: Meta batch loss: 236.9740753173828
2020-03-08 23:28:48,634:INFO: Average inner loss after inner updates : 236.9740753173828
2020-03-08 23:29:03,820:INFO: Loading the datasets...
2020-03-08 23:29:03,820:INFO: -done
2020-03-08 23:29:03,953:INFO: Starting MAML for 20 meta epoch(s)
2020-03-08 23:29:10,730:INFO: Meta epoch 0...
2020-03-08 23:29:16,508:INFO: Meta batch loss: 235.85667419433594
2020-03-08 23:29:16,509:INFO: Average inner loss after inner updates : 235.8566691080729
2020-03-08 23:32:01,881:INFO: Loading the datasets...
2020-03-08 23:32:01,881:INFO: -done
2020-03-08 23:32:02,018:INFO: Starting MAML for 20 meta epoch(s)
2020-03-08 23:32:08,806:INFO: Meta epoch 0...
2020-03-08 23:32:14,463:INFO: Meta batch loss: 238.5567626953125
2020-03-08 23:32:14,463:INFO: Average inner loss after inner updates : 238.55677286783853
2020-03-08 23:36:37,548:INFO: Loading the datasets...
2020-03-08 23:36:37,548:INFO: -done
2020-03-08 23:36:37,680:INFO: Starting MAML for 20 meta epoch(s)
2020-03-08 23:36:44,018:INFO: Meta epoch 0...
2020-03-08 23:36:49,743:INFO: Meta batch loss: 232.97357177734375
2020-03-08 23:36:49,744:INFO: Average inner loss after inner updates : 232.97356669108072
2020-03-08 23:36:50,054:INFO: - Eval metrics : batch_loss: 3025.473 ; slot_goal_accuracy: 0.029 ; joint_goal_accuracy: 0.000 ; slot_precision: 0.000 ; slot_recall: 0.000 ; slot_f1: 0.000
2020-03-08 23:36:50,054:INFO: Average Evaluation Loss: 9.807043074945438
2020-03-08 23:36:50,054:INFO: Total eval loss: 12101.891154482671
2020-03-08 23:36:50,055:INFO: Joint goal accuracy: 0.0
2020-03-08 23:36:50,055:INFO: Average goal accuracy: 9.261403102570039e-05
2020-03-08 23:36:50,055:INFO: Average slot precision: 0.0
2020-03-08 23:39:04,280:INFO: Loading the datasets...
2020-03-08 23:39:04,280:INFO: -done
2020-03-08 23:39:04,414:INFO: Starting MAML for 20 meta epoch(s)
2020-03-08 23:39:10,741:INFO: Meta epoch 0...
2020-03-08 23:39:16,235:INFO: Meta batch loss: 239.89768981933594
2020-03-08 23:39:16,235:INFO: Average inner loss after inner updates : 239.8976796468099
2020-03-08 23:39:16,546:INFO: - Eval metrics : batch_loss: 3121.663 ; slot_goal_accuracy: 0.000 ; joint_goal_accuracy: 0.000 ; slot_precision: 0.000 ; slot_recall: 0.000 ; slot_f1: 0.000
2020-03-08 23:39:16,546:INFO: Average Evaluation Loss: 10.118842386713157
2020-03-08 23:39:16,546:INFO: Total eval loss: 12486.651505204036
2020-03-08 23:39:16,546:INFO: Joint goal accuracy: 0.0
2020-03-08 23:39:16,546:INFO: Average goal accuracy: 0.0
2020-03-08 23:39:16,546:INFO: Average slot precision: 0.0
2020-03-08 23:40:48,021:INFO: Loading the datasets...
2020-03-08 23:40:48,021:INFO: -done
2020-03-08 23:40:48,156:INFO: Starting MAML for 20 meta epoch(s)
2020-03-08 23:40:54,742:INFO: Meta epoch 0...
2020-03-08 23:41:01,043:INFO: Meta batch loss: 231.8430938720703
2020-03-08 23:41:01,043:INFO: Average inner loss after inner updates : 231.84309895833334
2020-03-08 23:42:06,068:INFO: - Eval metrics : batch_loss: 2224.667 ; slot_goal_accuracy: 0.040 ; joint_goal_accuracy: 0.000 ; slot_precision: 0.000 ; slot_recall: 0.007 ; slot_f1: 0.000
2020-03-08 23:42:06,068:INFO: Average Evaluation Loss: 2224.666550721187
2020-03-08 23:42:06,068:INFO: Total eval loss: 2745238.5235899445
2020-03-08 23:42:06,068:INFO: Joint goal accuracy: 0.0
2020-03-08 23:42:06,068:INFO: Average goal accuracy: 0.039916647372077584
2020-03-08 23:42:06,068:INFO: Average slot precision: 0.00021830665920365114
2020-03-08 23:44:48,224:INFO: Loading the datasets...
2020-03-08 23:44:48,224:INFO: -done
2020-03-08 23:44:48,357:INFO: Starting MAML for 20 meta epoch(s)
2020-03-08 23:44:54,761:INFO: Meta epoch 0...
2020-03-08 23:45:00,304:INFO: Meta batch loss: 236.0122528076172
2020-03-08 23:45:00,305:INFO: Average inner loss after inner updates : 236.01223754882812
2020-03-08 23:45:01,475:INFO: - Eval metrics : batch_loss: 2564.276 ; slot_goal_accuracy: 0.036 ; joint_goal_accuracy: 0.000 ; slot_precision: 0.000 ; slot_recall: 0.000 ; slot_f1: 0.000
2020-03-08 23:45:01,476:INFO: Average Evaluation Loss: 41.5603833835877
2020-03-08 23:45:01,476:INFO: Total eval loss: 51285.51309534722
2020-03-08 23:45:01,476:INFO: Joint goal accuracy: 0.0
2020-03-08 23:45:01,476:INFO: Average goal accuracy: 0.0005788376939106275
2020-03-08 23:45:01,476:INFO: Average slot precision: 0.0
2020-03-08 23:45:32,712:INFO: - Found new best loss
2020-03-08 23:45:45,674:INFO: Meta epoch 1...
2020-03-08 23:48:40,419:INFO: Loading the datasets...
2020-03-08 23:48:40,419:INFO: -done
2020-03-08 23:48:40,555:INFO: Starting MAML for 20 meta epoch(s)
2020-03-08 23:48:46,836:INFO: Meta epoch 0...
2020-03-08 23:48:52,243:INFO: Meta batch loss: 238.0532684326172
2020-03-08 23:48:52,243:INFO: Average inner loss after inner updates : 238.05327351888022
2020-03-08 23:49:58,040:INFO: - Eval metrics : batch_loss: 2278.557 ; slot_goal_accuracy: 0.029 ; joint_goal_accuracy: 0.000 ; slot_precision: 0.000 ; slot_recall: 0.006 ; slot_f1: 0.000
2020-03-08 23:49:58,040:INFO: Average Evaluation Loss: 2278.5573109473257
2020-03-08 23:49:58,041:INFO: Total eval loss: 2811739.721709
2020-03-08 23:49:58,041:INFO: Joint goal accuracy: 0.0
2020-03-08 23:49:58,041:INFO: Average goal accuracy: 0.029150266265339272
2020-03-08 23:49:58,041:INFO: Average slot precision: 0.00019084490286463783
2020-03-08 23:49:58,797:INFO: - Found new best loss
2020-03-08 23:49:58,798:INFO: Meta epoch 1...
2020-03-08 23:50:04,384:INFO: Meta batch loss: 224.34820556640625
2020-03-08 23:50:04,385:INFO: Average inner loss after inner updates : 224.34821065266928
2020-03-08 23:51:10,712:INFO: - Eval metrics : batch_loss: 2151.068 ; slot_goal_accuracy: 0.160 ; joint_goal_accuracy: 0.000 ; slot_precision: 0.000 ; slot_recall: 0.004 ; slot_f1: 0.000
2020-03-08 23:51:10,713:INFO: Average Evaluation Loss: 2151.0678779721734
2020-03-08 23:51:10,713:INFO: Total eval loss: 2654417.761417662
2020-03-08 23:51:10,713:INFO: Joint goal accuracy: 0.0
2020-03-08 23:51:10,713:INFO: Average goal accuracy: 0.16019912016670612
2020-03-08 23:51:10,713:INFO: Average slot precision: 0.0001364754070979174
2020-03-08 23:51:11,043:INFO: - Found new best loss
2020-03-08 23:51:11,044:INFO: Meta epoch 2...
2020-03-08 23:51:15,675:INFO: Meta batch loss: 200.0220489501953
2020-03-08 23:51:15,675:INFO: Average inner loss after inner updates : 200.0220489501953
2020-03-08 23:52:22,430:INFO: - Eval metrics : batch_loss: 1922.393 ; slot_goal_accuracy: 0.541 ; joint_goal_accuracy: 0.000 ; slot_precision: 0.000 ; slot_recall: 0.003 ; slot_f1: 0.000
2020-03-08 23:52:22,430:INFO: Average Evaluation Loss: 1922.392506583076
2020-03-08 23:52:22,430:INFO: Total eval loss: 2372232.353123516
2020-03-08 23:52:22,430:INFO: Joint goal accuracy: 0.0
2020-03-08 23:52:22,430:INFO: Average goal accuracy: 0.5413290113452176
2020-03-08 23:52:22,430:INFO: Average slot precision: 0.00022237838513875776
2020-03-08 23:52:23,002:INFO: - Found new best loss
2020-03-08 23:52:23,003:INFO: Meta epoch 3...
2020-03-08 23:52:27,796:INFO: Meta batch loss: 149.16607666015625
2020-03-08 23:52:27,796:INFO: Average inner loss after inner updates : 149.16607666015625
2020-03-08 23:53:33,150:INFO: - Eval metrics : batch_loss: 1429.586 ; slot_goal_accuracy: 0.886 ; joint_goal_accuracy: 0.137 ; slot_precision: 0.000 ; slot_recall: 0.000 ; slot_f1: 0.000
2020-03-08 23:53:33,150:INFO: Average Evaluation Loss: 1429.5856431036073
2020-03-08 23:53:33,150:INFO: Total eval loss: 1764108.6835898513
2020-03-08 23:53:33,150:INFO: Joint goal accuracy: 0.13695299837925445
2020-03-08 23:53:33,150:INFO: Average goal accuracy: 0.8864551979624872
2020-03-08 23:53:33,150:INFO: Average slot precision: 0.0
2020-03-08 23:53:33,509:INFO: - Found new best loss
2020-03-08 23:53:33,510:INFO: Meta epoch 4...
2020-03-08 23:53:37,902:INFO: Meta batch loss: 79.90880584716797
2020-03-08 23:53:37,903:INFO: Average inner loss after inner updates : 79.90880330403645
2020-03-09 09:04:08,321:INFO: Loading the datasets...
2020-03-09 09:04:08,321:INFO: -done
2020-03-09 09:04:08,471:INFO: Starting MAML for 20 meta epoch(s)
2020-03-09 09:04:08,509:INFO: Meta epoch 0...
2020-03-09 09:05:01,794:INFO: Loading the datasets...
2020-03-09 09:05:01,794:INFO: -done
2020-03-09 09:05:01,931:INFO: Starting MAML for 20 meta epoch(s)
2020-03-09 09:05:04,222:INFO: Meta epoch 0...
2020-03-09 09:06:06,392:INFO: Loading the datasets...
2020-03-09 09:06:06,392:INFO: -done
2020-03-09 09:06:06,517:INFO: Starting MAML for 20 meta epoch(s)
2020-03-09 09:06:08,357:INFO: Meta epoch 0...
2020-03-09 09:06:22,659:INFO: Meta batch loss: 2985.38818359375
2020-03-09 09:06:22,662:INFO: Average inner loss after inner updates : 2985.38818359375
2020-03-09 09:06:36,991:INFO: Meta batch loss: 2791.865966796875
2020-03-09 09:06:36,991:INFO: Average inner loss after inner updates : 2791.865966796875
2020-03-09 09:06:50,526:INFO: Meta batch loss: 2483.071533203125
2020-03-09 09:06:50,526:INFO: Average inner loss after inner updates : 2483.071533203125
2020-03-09 09:07:04,616:INFO: Meta batch loss: 1789.7213134765625
2020-03-09 09:07:04,616:INFO: Average inner loss after inner updates : 1789.7213134765625
2020-03-09 09:07:18,984:INFO: Meta batch loss: 938.9307250976562
2020-03-09 09:07:18,985:INFO: Average inner loss after inner updates : 938.9307250976562
2020-03-09 09:07:33,717:INFO: Meta batch loss: 271.3133544921875
2020-03-09 09:07:33,719:INFO: Average inner loss after inner updates : 271.3133544921875
2020-03-09 09:07:47,972:INFO: Meta batch loss: 74.33074188232422
2020-03-09 09:07:47,972:INFO: Average inner loss after inner updates : 74.33074188232422
2020-03-09 09:08:02,444:INFO: Meta batch loss: 9.764193534851074
2020-03-09 09:08:02,444:INFO: Average inner loss after inner updates : 9.764193534851074
2020-03-09 09:12:12,892:INFO: Loading the datasets...
2020-03-09 09:12:12,892:INFO: -done
2020-03-09 09:12:13,020:INFO: Starting MAML for 20 meta epoch(s)
2020-03-09 09:12:13,495:INFO: Meta epoch 0...
2020-03-09 09:12:23,845:INFO: Loading the datasets...
2020-03-09 09:12:23,845:INFO: -done
2020-03-09 09:12:23,974:INFO: Starting MAML for 20 meta epoch(s)
2020-03-09 09:12:24,427:INFO: Meta epoch 0...
2020-03-09 09:12:37,509:INFO: Meta batch loss: 2997.208984375
2020-03-09 09:12:37,509:INFO: Average inner loss after inner updates : 2997.208984375
2020-03-09 09:12:50,596:INFO: Meta batch loss: 2772.1728515625
2020-03-09 09:12:50,598:INFO: Average inner loss after inner updates : 2772.1728515625
2020-03-09 09:13:04,195:INFO: Meta batch loss: 2354.83251953125
2020-03-09 09:13:04,195:INFO: Average inner loss after inner updates : 2354.83251953125
2020-03-09 09:13:17,586:INFO: Meta batch loss: 1640.109375
2020-03-09 09:13:17,587:INFO: Average inner loss after inner updates : 1640.109375
2020-03-09 09:13:30,992:INFO: Meta batch loss: 813.4129638671875
2020-03-09 09:13:30,992:INFO: Average inner loss after inner updates : 813.4129638671875
2020-03-09 09:13:44,651:INFO: Meta batch loss: 246.25521850585938
2020-03-09 09:13:44,651:INFO: Average inner loss after inner updates : 246.25521850585938
2020-03-09 09:13:58,459:INFO: Meta batch loss: 112.19029235839844
2020-03-09 09:13:58,460:INFO: Average inner loss after inner updates : 112.19029235839844
2020-03-09 09:14:12,049:INFO: Meta batch loss: 21.635557174682617
2020-03-09 09:14:12,049:INFO: Average inner loss after inner updates : 21.635557174682617
2020-03-09 09:14:25,400:INFO: Meta batch loss: 10.099370956420898
2020-03-09 09:14:25,400:INFO: Average inner loss after inner updates : 10.099370956420898
2020-03-09 09:14:38,957:INFO: Meta batch loss: 9.469141006469727
2020-03-09 09:14:38,957:INFO: Average inner loss after inner updates : 9.469141006469727
2020-03-09 09:14:52,436:INFO: Meta batch loss: 0.20208069682121277
2020-03-09 09:14:52,437:INFO: Average inner loss after inner updates : 0.20208069682121277
2020-03-09 09:15:06,594:INFO: Meta batch loss: 31.634273529052734
2020-03-09 09:15:06,594:INFO: Average inner loss after inner updates : 31.634273529052734
2020-03-09 09:15:20,275:INFO: Meta batch loss: 36.87000274658203
2020-03-09 09:15:20,277:INFO: Average inner loss after inner updates : 36.87000274658203
2020-03-09 09:15:34,462:INFO: Meta batch loss: 12.61413860321045
2020-03-09 09:15:34,463:INFO: Average inner loss after inner updates : 12.61413860321045
2020-03-09 09:15:48,301:INFO: Meta batch loss: 37.85953140258789
2020-03-09 09:15:48,302:INFO: Average inner loss after inner updates : 37.85953140258789
2020-03-09 09:16:02,188:INFO: Meta batch loss: 41.89454650878906
2020-03-09 09:16:02,189:INFO: Average inner loss after inner updates : 41.89454650878906
2020-03-09 09:16:15,438:INFO: Meta batch loss: 20.017263412475586
2020-03-09 09:16:15,440:INFO: Average inner loss after inner updates : 20.017263412475586
2020-03-09 09:16:28,959:INFO: Meta batch loss: 8.946187973022461
2020-03-09 09:16:28,961:INFO: Average inner loss after inner updates : 8.946187973022461
2020-03-09 09:16:42,213:INFO: Meta batch loss: 10.655009269714355
2020-03-09 09:16:42,215:INFO: Average inner loss after inner updates : 10.655009269714355
2020-03-09 09:16:55,667:INFO: Meta batch loss: 21.332178115844727
2020-03-09 09:16:55,668:INFO: Average inner loss after inner updates : 21.332178115844727
2020-03-09 09:17:09,084:INFO: Meta batch loss: 3.7101943492889404
2020-03-09 09:17:09,084:INFO: Average inner loss after inner updates : 3.7101943492889404
2020-03-09 09:17:22,523:INFO: Meta batch loss: 14.03227710723877
2020-03-09 09:17:22,524:INFO: Average inner loss after inner updates : 14.03227710723877
2020-03-09 09:17:36,402:INFO: Meta batch loss: 18.2074031829834
2020-03-09 09:17:36,403:INFO: Average inner loss after inner updates : 18.2074031829834
2020-03-09 09:17:50,032:INFO: Meta batch loss: 11.95151138305664
2020-03-09 09:17:50,032:INFO: Average inner loss after inner updates : 11.95151138305664
2020-03-09 09:18:03,895:INFO: Meta batch loss: 36.02108383178711
2020-03-09 09:18:03,897:INFO: Average inner loss after inner updates : 36.02108383178711
2020-03-09 09:18:17,560:INFO: Meta batch loss: 6.738460540771484
2020-03-09 09:18:17,562:INFO: Average inner loss after inner updates : 6.738460540771484
2020-03-09 09:18:31,049:INFO: Meta batch loss: 20.768800735473633
2020-03-09 09:18:31,049:INFO: Average inner loss after inner updates : 20.768800735473633
2020-03-09 09:18:44,558:INFO: Meta batch loss: 23.705108642578125
2020-03-09 09:18:44,560:INFO: Average inner loss after inner updates : 23.705108642578125
2020-03-09 09:18:58,223:INFO: Meta batch loss: 0.7622561454772949
2020-03-09 09:18:58,225:INFO: Average inner loss after inner updates : 0.7622561454772949
2020-03-09 09:19:12,327:INFO: Meta batch loss: 14.228779792785645
2020-03-09 09:19:12,327:INFO: Average inner loss after inner updates : 14.228779792785645
2020-03-09 09:19:26,186:INFO: Meta batch loss: 15.805974960327148
2020-03-09 09:19:26,188:INFO: Average inner loss after inner updates : 15.805974960327148
2020-03-09 09:19:39,667:INFO: Meta batch loss: 3.1856253147125244
2020-03-09 09:19:39,669:INFO: Average inner loss after inner updates : 3.1856253147125244
2020-03-09 09:19:52,965:INFO: Meta batch loss: 2.4091925621032715
2020-03-09 09:19:52,966:INFO: Average inner loss after inner updates : 2.4091925621032715
2020-03-09 09:20:06,824:INFO: Meta batch loss: 1.2491331100463867
2020-03-09 09:20:06,825:INFO: Average inner loss after inner updates : 1.2491331100463867
2020-03-09 09:20:19,979:INFO: Meta batch loss: 25.359071731567383
2020-03-09 09:20:19,981:INFO: Average inner loss after inner updates : 25.359071731567383
2020-03-09 09:20:33,190:INFO: Meta batch loss: 28.049827575683594
2020-03-09 09:20:33,191:INFO: Average inner loss after inner updates : 28.049827575683594
2020-03-09 09:20:46,777:INFO: Meta batch loss: 0.544664740562439
2020-03-09 09:20:46,779:INFO: Average inner loss after inner updates : 0.544664740562439
2020-03-09 09:21:00,588:INFO: Meta batch loss: 0.7432489991188049
2020-03-09 09:21:00,590:INFO: Average inner loss after inner updates : 0.7432489991188049
2020-03-09 09:21:14,189:INFO: Meta batch loss: 12.395805358886719
2020-03-09 09:21:14,190:INFO: Average inner loss after inner updates : 12.395805358886719
2020-03-09 09:21:27,413:INFO: Meta batch loss: 0.1789744347333908
2020-03-09 09:21:27,415:INFO: Average inner loss after inner updates : 0.1789744347333908
2020-03-09 09:21:40,841:INFO: Meta batch loss: 0.2740776836872101
2020-03-09 09:21:40,842:INFO: Average inner loss after inner updates : 0.2740776836872101
2020-03-09 09:21:54,497:INFO: Meta batch loss: 25.23018455505371
2020-03-09 09:21:54,498:INFO: Average inner loss after inner updates : 25.23018455505371
2020-03-09 09:22:08,033:INFO: Meta batch loss: 35.148948669433594
2020-03-09 09:22:08,035:INFO: Average inner loss after inner updates : 35.148948669433594
2020-03-09 09:22:21,492:INFO: Meta batch loss: 0.07125154882669449
2020-03-09 09:22:21,493:INFO: Average inner loss after inner updates : 0.07125154882669449
2020-03-09 09:22:35,319:INFO: Meta batch loss: 13.594042778015137
2020-03-09 09:22:35,319:INFO: Average inner loss after inner updates : 13.594042778015137
2020-03-09 09:22:48,405:INFO: Meta batch loss: 11.011905670166016
2020-03-09 09:22:48,406:INFO: Average inner loss after inner updates : 11.011905670166016
2020-03-09 09:23:01,999:INFO: Meta batch loss: 11.362444877624512
2020-03-09 09:23:02,000:INFO: Average inner loss after inner updates : 11.362444877624512
2020-03-09 09:23:15,562:INFO: Meta batch loss: 0.02167332172393799
2020-03-09 09:23:15,563:INFO: Average inner loss after inner updates : 0.02167332172393799
2020-03-09 09:23:28,860:INFO: Meta batch loss: 8.325604438781738
2020-03-09 09:23:28,862:INFO: Average inner loss after inner updates : 8.325604438781738
2020-03-09 09:23:42,123:INFO: Meta batch loss: 8.360930442810059
2020-03-09 09:23:42,124:INFO: Average inner loss after inner updates : 8.360930442810059
2020-03-09 09:23:55,694:INFO: Meta batch loss: 0.062017202377319336
2020-03-09 09:23:55,695:INFO: Average inner loss after inner updates : 0.062017202377319336
2020-03-09 09:24:08,969:INFO: Meta batch loss: 0.12300688028335571
2020-03-09 09:24:08,971:INFO: Average inner loss after inner updates : 0.12300688028335571
2020-03-09 09:24:23,106:INFO: Meta batch loss: 15.158232688903809
2020-03-09 09:24:23,109:INFO: Average inner loss after inner updates : 15.158232688903809
2020-03-09 09:24:36,835:INFO: Meta batch loss: 22.852901458740234
2020-03-09 09:24:36,836:INFO: Average inner loss after inner updates : 22.852901458740234
2020-03-09 09:24:50,314:INFO: Meta batch loss: 10.555375099182129
2020-03-09 09:24:50,316:INFO: Average inner loss after inner updates : 10.555375099182129
2020-03-09 09:25:05,035:INFO: Meta batch loss: 20.603347778320312
2020-03-09 09:25:05,037:INFO: Average inner loss after inner updates : 20.603347778320312
2020-03-09 09:25:18,763:INFO: Meta batch loss: 39.02667999267578
2020-03-09 09:25:18,764:INFO: Average inner loss after inner updates : 39.02667999267578
2020-03-09 09:25:33,006:INFO: Meta batch loss: 15.642166137695312
2020-03-09 09:25:33,008:INFO: Average inner loss after inner updates : 15.642166137695312
2020-03-09 09:25:46,507:INFO: Meta batch loss: 30.900136947631836
2020-03-09 09:25:46,508:INFO: Average inner loss after inner updates : 30.900136947631836
2020-03-09 09:26:00,565:INFO: Meta batch loss: 9.762894630432129
2020-03-09 09:26:00,565:INFO: Average inner loss after inner updates : 9.762894630432129
2020-03-09 09:26:14,444:INFO: Meta batch loss: 18.18069839477539
2020-03-09 09:26:14,444:INFO: Average inner loss after inner updates : 18.18069839477539
2020-03-09 09:26:28,632:INFO: Meta batch loss: 0.9658151865005493
2020-03-09 09:26:28,633:INFO: Average inner loss after inner updates : 0.9658151865005493
2020-03-09 09:26:42,595:INFO: Meta batch loss: 18.915454864501953
2020-03-09 09:26:42,595:INFO: Average inner loss after inner updates : 18.915454864501953
2020-03-09 09:26:56,313:INFO: Meta batch loss: 2.3071324825286865
2020-03-09 09:26:56,313:INFO: Average inner loss after inner updates : 2.3071324825286865
2020-03-09 09:27:09,594:INFO: Meta batch loss: 9.419561386108398
2020-03-09 09:27:09,595:INFO: Average inner loss after inner updates : 9.419561386108398
2020-03-09 09:27:23,568:INFO: Meta batch loss: 11.322025299072266
2020-03-09 09:27:23,568:INFO: Average inner loss after inner updates : 11.322025299072266
2020-03-09 09:27:37,303:INFO: Meta batch loss: 16.519535064697266
2020-03-09 09:27:37,303:INFO: Average inner loss after inner updates : 16.519535064697266
2020-03-09 09:27:51,779:INFO: Meta batch loss: 5.864990234375
2020-03-09 09:27:51,779:INFO: Average inner loss after inner updates : 5.864990234375
2020-03-09 09:28:06,627:INFO: Meta batch loss: 5.030282497406006
2020-03-09 09:28:06,628:INFO: Average inner loss after inner updates : 5.030282497406006
2020-03-09 09:28:21,198:INFO: Meta batch loss: 17.84245491027832
2020-03-09 09:28:21,199:INFO: Average inner loss after inner updates : 17.84245491027832
2020-03-09 09:28:35,380:INFO: Meta batch loss: 1.8752497434616089
2020-03-09 09:28:35,380:INFO: Average inner loss after inner updates : 1.8752497434616089
2020-03-09 09:28:49,708:INFO: Meta batch loss: 1.4506758451461792
2020-03-09 09:28:49,708:INFO: Average inner loss after inner updates : 1.4506758451461792
2020-03-09 09:29:03,145:INFO: Meta batch loss: 6.814719200134277
2020-03-09 09:29:03,145:INFO: Average inner loss after inner updates : 6.814719200134277
2020-03-09 09:29:17,181:INFO: Meta batch loss: 10.532134056091309
2020-03-09 09:29:17,181:INFO: Average inner loss after inner updates : 10.532134056091309
2020-03-09 09:29:30,682:INFO: Meta batch loss: 18.302701950073242
2020-03-09 09:29:30,682:INFO: Average inner loss after inner updates : 18.302701950073242
2020-03-09 09:29:44,519:INFO: Meta batch loss: 7.581492900848389
2020-03-09 09:29:44,521:INFO: Average inner loss after inner updates : 7.581492900848389
2020-03-09 09:29:58,680:INFO: Meta batch loss: 0.7589327096939087
2020-03-09 09:29:58,680:INFO: Average inner loss after inner updates : 0.7589327096939087
2020-03-09 09:30:13,163:INFO: Meta batch loss: 9.778657913208008
2020-03-09 09:30:13,163:INFO: Average inner loss after inner updates : 9.778657913208008
2020-03-09 09:30:26,744:INFO: Meta batch loss: 21.488548278808594
2020-03-09 09:30:26,744:INFO: Average inner loss after inner updates : 21.488548278808594
2020-03-09 09:30:40,422:INFO: Meta batch loss: 5.750433444976807
2020-03-09 09:30:40,424:INFO: Average inner loss after inner updates : 5.750433444976807
2020-03-09 09:34:28,950:INFO: Loading the datasets...
2020-03-09 09:34:28,950:INFO: -done
2020-03-09 09:34:29,087:INFO: Starting MAML for 20 meta epoch(s)
2020-03-09 09:34:29,654:INFO: Meta epoch 0...
2020-03-09 09:34:52,119:INFO: Loading the datasets...
2020-03-09 09:34:52,119:INFO: -done
2020-03-09 09:34:52,243:INFO: Starting MAML for 20 meta epoch(s)
2020-03-09 09:34:52,790:INFO: Meta epoch 0...
2020-03-09 09:35:51,926:INFO: Loading the datasets...
2020-03-09 09:35:51,926:INFO: -done
2020-03-09 09:35:52,051:INFO: Starting MAML for 20 meta epoch(s)
2020-03-09 09:35:52,594:INFO: Meta epoch 0...
2020-03-09 09:35:54,083:INFO: Meta batch loss: 230.4498291015625
2020-03-09 09:35:54,084:INFO: Average inner loss after inner updates : 230.4498291015625
2020-03-09 09:35:55,585:INFO: Meta batch loss: 221.724853515625
2020-03-09 09:35:55,585:INFO: Average inner loss after inner updates : 221.724853515625
2020-03-09 09:35:57,132:INFO: Meta batch loss: 195.46795654296875
2020-03-09 09:35:57,133:INFO: Average inner loss after inner updates : 195.46795654296875
2020-03-09 09:35:58,630:INFO: Meta batch loss: 163.6992645263672
2020-03-09 09:35:58,631:INFO: Average inner loss after inner updates : 163.6992645263672
2020-03-09 09:36:00,088:INFO: Meta batch loss: 98.92633819580078
2020-03-09 09:36:00,088:INFO: Average inner loss after inner updates : 98.92633819580078
2020-03-09 09:36:01,526:INFO: Meta batch loss: 30.21665382385254
2020-03-09 09:36:01,526:INFO: Average inner loss after inner updates : 30.21665382385254
2020-03-09 09:36:03,086:INFO: Meta batch loss: 12.360742568969727
2020-03-09 09:36:03,086:INFO: Average inner loss after inner updates : 12.360742568969727
2020-03-09 09:36:04,469:INFO: Meta batch loss: 4.3008503913879395
2020-03-09 09:36:04,469:INFO: Average inner loss after inner updates : 4.3008503913879395
2020-03-09 09:36:05,937:INFO: Meta batch loss: 2.1597676277160645
2020-03-09 09:36:05,937:INFO: Average inner loss after inner updates : 2.1597676277160645
2020-03-09 09:36:07,353:INFO: Meta batch loss: 0.1447448432445526
2020-03-09 09:36:07,353:INFO: Average inner loss after inner updates : 0.1447448432445526
2020-03-09 09:36:08,813:INFO: Meta batch loss: 0.032144445925951004
2020-03-09 09:36:08,814:INFO: Average inner loss after inner updates : 0.032144445925951004
2020-03-09 09:36:10,272:INFO: Meta batch loss: 0.001682105241343379
2020-03-09 09:36:10,272:INFO: Average inner loss after inner updates : 0.001682105241343379
2020-03-09 09:39:09,615:INFO: Loading the datasets...
2020-03-09 09:39:09,615:INFO: -done
2020-03-09 09:39:09,740:INFO: Starting MAML for 20 meta epoch(s)
2020-03-09 09:39:10,302:INFO: Meta epoch 0...
2020-03-09 09:39:11,760:INFO: Meta batch loss: 234.77145385742188
2020-03-09 09:39:11,760:INFO: Average inner loss after inner updates : 234.77145385742188
2020-03-09 09:39:13,348:INFO: Meta batch loss: 225.2364501953125
2020-03-09 09:39:13,348:INFO: Average inner loss after inner updates : 225.2364501953125
2020-03-09 09:39:14,940:INFO: Meta batch loss: 201.4915313720703
2020-03-09 09:39:14,941:INFO: Average inner loss after inner updates : 201.4915313720703
2020-03-09 09:39:16,485:INFO: Meta batch loss: 170.388671875
2020-03-09 09:39:16,485:INFO: Average inner loss after inner updates : 170.388671875
2020-03-09 09:39:18,084:INFO: Meta batch loss: 100.98287963867188
2020-03-09 09:39:18,084:INFO: Average inner loss after inner updates : 100.98287963867188
2020-03-09 09:39:19,696:INFO: Meta batch loss: 36.05162048339844
2020-03-09 09:39:19,697:INFO: Average inner loss after inner updates : 36.05162048339844
2020-03-09 09:39:21,278:INFO: Meta batch loss: 12.578934669494629
2020-03-09 09:39:21,279:INFO: Average inner loss after inner updates : 12.578934669494629
2020-03-09 09:39:38,218:INFO: Loading the datasets...
2020-03-09 09:39:38,218:INFO: -done
2020-03-09 09:39:38,346:INFO: Starting MAML for 20 meta epoch(s)
2020-03-09 09:39:38,965:INFO: Meta epoch 0...
2020-03-09 09:39:51,874:INFO: Meta batch loss: 2981.046875
2020-03-09 09:39:51,875:INFO: Average inner loss after inner updates : 2981.046875
2020-03-09 09:40:04,992:INFO: Meta batch loss: 2774.100830078125
2020-03-09 09:40:04,993:INFO: Average inner loss after inner updates : 2774.100830078125
2020-03-09 09:40:17,914:INFO: Meta batch loss: 2382.121826171875
2020-03-09 09:40:17,914:INFO: Average inner loss after inner updates : 2382.121826171875
2020-03-09 09:47:05,089:INFO: Loading the datasets...
2020-03-09 09:47:05,089:INFO: -done
2020-03-09 09:47:05,226:INFO: Starting MAML for 20 meta epoch(s)
2020-03-09 09:47:06,062:INFO: Meta epoch 0...
2020-03-09 09:47:25,840:INFO: Loading the datasets...
2020-03-09 09:47:25,840:INFO: -done
2020-03-09 09:47:25,973:INFO: Starting MAML for 20 meta epoch(s)
2020-03-09 09:47:26,832:INFO: Meta epoch 0...
2020-03-09 09:48:47,444:INFO: Meta batch loss: 2973.47412109375
2020-03-09 09:48:51,823:INFO: Average inner loss after inner updates : 2973.47412109375
2020-03-09 09:50:28,328:INFO: Meta batch loss: 2716.079833984375
2020-03-09 09:50:29,777:INFO: Average inner loss after inner updates : 2716.079833984375
2020-03-09 09:51:59,560:INFO: Meta batch loss: 2256.86083984375
2020-03-09 09:52:00,189:INFO: Average inner loss after inner updates : 2256.86083984375
2020-03-09 09:54:01,948:INFO: Loading the datasets...
2020-03-09 09:54:01,948:INFO: -done
2020-03-09 09:54:02,075:INFO: Starting MAML for 20 meta epoch(s)
2020-03-09 09:54:02,638:INFO: Meta epoch 0...
2020-03-09 09:54:15,527:INFO: Meta batch loss: 3003.211669921875
2020-03-09 09:54:15,527:INFO: Average inner loss after inner updates : 3003.211669921875
2020-03-09 09:54:28,739:INFO: Meta batch loss: 2769.544189453125
2020-03-09 09:54:28,739:INFO: Average inner loss after inner updates : 2769.544189453125
2020-03-09 09:54:41,685:INFO: Meta batch loss: 2344.71142578125
2020-03-09 09:54:41,685:INFO: Average inner loss after inner updates : 2344.71142578125
2020-03-09 09:54:41,773:INFO: Total train loss: 8117.46728515625
2020-03-09 09:54:48,185:INFO: - Eval metrics : batch_loss: 1365.034 ; slot_goal_accuracy: 0.781 ; joint_goal_accuracy: 0.000 ; slot_precision: 0.000 ; slot_recall: 0.003 ; slot_f1: 0.000
2020-03-09 09:54:48,185:INFO: Average Evaluation Loss: 1365.0339481572598
2020-03-09 09:54:48,185:INFO: Total eval loss: 225230.6014459479
2020-03-09 09:54:48,185:INFO: Joint goal accuracy: 0.0
2020-03-09 09:54:48,185:INFO: Average goal accuracy: 0.7806060606060596
2020-03-09 09:54:48,185:INFO: Average slot precision: 0.0002331002331002331
2020-03-09 09:54:49,408:INFO: - Found new best loss
2020-03-09 09:54:49,409:INFO: Meta epoch 1...
2020-03-09 09:55:03,230:INFO: Meta batch loss: 1523.568115234375
2020-03-09 09:55:03,231:INFO: Average inner loss after inner updates : 1523.568115234375
2020-03-09 09:55:17,253:INFO: Meta batch loss: 716.7190551757812
2020-03-09 09:55:17,254:INFO: Average inner loss after inner updates : 716.7190551757812
2020-03-09 09:55:31,029:INFO: Meta batch loss: 241.13690185546875
2020-03-09 09:55:31,029:INFO: Average inner loss after inner updates : 241.13690185546875
2020-03-09 09:55:31,311:INFO: Total train loss: 2481.424072265625
2020-03-09 09:55:37,877:INFO: - Eval metrics : batch_loss: 154.330 ; slot_goal_accuracy: 0.976 ; joint_goal_accuracy: 0.400 ; slot_precision: 0.000 ; slot_recall: 0.000 ; slot_f1: 0.000
2020-03-09 09:55:37,877:INFO: Average Evaluation Loss: 154.32977142186948
2020-03-09 09:55:37,877:INFO: Total eval loss: 25464.412284608465
2020-03-09 09:55:37,878:INFO: Joint goal accuracy: 0.4
2020-03-09 09:55:37,878:INFO: Average goal accuracy: 0.9759307359307351
2020-03-09 09:55:37,878:INFO: Average slot precision: 0.0
2020-03-09 09:55:38,299:INFO: - Found new best loss
2020-03-09 09:55:38,300:INFO: Meta epoch 2...
2020-03-09 09:55:52,378:INFO: Meta batch loss: 77.15087127685547
2020-03-09 09:55:52,380:INFO: Average inner loss after inner updates : 77.15087127685547
2020-03-09 09:56:06,178:INFO: Meta batch loss: 25.641603469848633
2020-03-09 09:56:06,179:INFO: Average inner loss after inner updates : 25.641603469848633
2020-03-09 09:56:20,002:INFO: Meta batch loss: 19.84839630126953
2020-03-09 09:56:20,002:INFO: Average inner loss after inner updates : 19.84839630126953
2020-03-09 09:56:20,330:INFO: Total train loss: 122.640869140625
2020-03-09 09:56:26,795:INFO: - Eval metrics : batch_loss: 6.984 ; slot_goal_accuracy: 0.976 ; joint_goal_accuracy: 0.400 ; slot_precision: 0.000 ; slot_recall: 0.000 ; slot_f1: 0.000
2020-03-09 09:56:26,795:INFO: Average Evaluation Loss: 6.983992226918539
2020-03-09 09:56:26,795:INFO: Total eval loss: 1152.3587174415588
2020-03-09 09:56:26,795:INFO: Joint goal accuracy: 0.4
2020-03-09 09:56:26,795:INFO: Average goal accuracy: 0.9761038961038954
2020-03-09 09:56:26,795:INFO: Average slot precision: 0.0
2020-03-09 09:56:27,365:INFO: - Found new best loss
2020-03-09 09:56:27,365:INFO: Meta epoch 3...
2020-03-09 09:56:41,810:INFO: Meta batch loss: 8.07184886932373
2020-03-09 09:56:41,810:INFO: Average inner loss after inner updates : 8.07184886932373
2020-03-09 09:56:56,030:INFO: Meta batch loss: 14.569897651672363
2020-03-09 09:56:56,030:INFO: Average inner loss after inner updates : 14.569897651672363
2020-03-09 09:57:09,746:INFO: Meta batch loss: 14.371687889099121
2020-03-09 09:57:09,746:INFO: Average inner loss after inner updates : 14.371687889099121
2020-03-09 09:57:10,083:INFO: Total train loss: 37.01343536376953
2020-03-09 09:57:16,471:INFO: - Eval metrics : batch_loss: 7.411 ; slot_goal_accuracy: 0.976 ; joint_goal_accuracy: 0.400 ; slot_precision: 0.000 ; slot_recall: 0.000 ; slot_f1: 0.000
2020-03-09 09:57:16,472:INFO: Average Evaluation Loss: 7.4109130801576555
2020-03-09 09:57:16,472:INFO: Total eval loss: 1222.8006582260132
2020-03-09 09:57:16,472:INFO: Joint goal accuracy: 0.4
2020-03-09 09:57:16,472:INFO: Average goal accuracy: 0.9761038961038954
2020-03-09 09:57:16,472:INFO: Average slot precision: 0.0
2020-03-09 09:57:16,573:INFO: Meta epoch 4...
2020-03-09 09:57:30,132:INFO: Meta batch loss: 3.851328134536743
2020-03-09 09:57:30,133:INFO: Average inner loss after inner updates : 3.851328134536743
2020-03-09 09:57:43,755:INFO: Meta batch loss: 9.270268440246582
2020-03-09 09:57:43,755:INFO: Average inner loss after inner updates : 9.270268440246582
2020-03-09 09:57:57,139:INFO: Meta batch loss: 11.563175201416016
2020-03-09 09:57:57,140:INFO: Average inner loss after inner updates : 11.563175201416016
2020-03-09 09:57:57,476:INFO: Total train loss: 24.684772491455078
2020-03-09 09:58:03,891:INFO: - Eval metrics : batch_loss: 30.957 ; slot_goal_accuracy: 0.976 ; joint_goal_accuracy: 0.400 ; slot_precision: 0.006 ; slot_recall: 0.003 ; slot_f1: 0.004
2020-03-09 09:58:03,891:INFO: Average Evaluation Loss: 30.9566954025907
2020-03-09 09:58:03,892:INFO: Total eval loss: 5107.854741427465
2020-03-09 09:58:03,892:INFO: Joint goal accuracy: 0.4
2020-03-09 09:58:03,892:INFO: Average goal accuracy: 0.9755844155844147
2020-03-09 09:58:03,892:INFO: Average slot precision: 0.006060606060606061
2020-03-09 09:58:04,069:INFO: Meta epoch 5...
2020-03-09 09:58:17,581:INFO: Meta batch loss: 5.672457695007324
2020-03-09 09:58:17,582:INFO: Average inner loss after inner updates : 5.672457695007324
2020-03-09 09:58:31,090:INFO: Meta batch loss: 7.575145244598389
2020-03-09 09:58:31,090:INFO: Average inner loss after inner updates : 7.575145244598389
2020-03-09 09:58:44,200:INFO: Meta batch loss: 8.440004348754883
2020-03-09 09:58:44,200:INFO: Average inner loss after inner updates : 8.440004348754883
2020-03-09 09:58:44,518:INFO: Total train loss: 21.687606811523438
2020-03-09 09:58:50,920:INFO: - Eval metrics : batch_loss: 17.466 ; slot_goal_accuracy: 0.976 ; joint_goal_accuracy: 0.400 ; slot_precision: 0.000 ; slot_recall: 0.000 ; slot_f1: 0.000
2020-03-09 09:58:50,920:INFO: Average Evaluation Loss: 17.466276214610446
2020-03-09 09:58:50,921:INFO: Total eval loss: 2881.9355754107237
2020-03-09 09:58:50,921:INFO: Joint goal accuracy: 0.4
2020-03-09 09:58:50,921:INFO: Average goal accuracy: 0.9761038961038954
2020-03-09 09:58:50,921:INFO: Average slot precision: 0.0
2020-03-09 09:58:51,022:INFO: Meta epoch 6...
2020-03-09 09:59:06,376:INFO: Meta batch loss: 2.322239398956299
2020-03-09 09:59:06,377:INFO: Average inner loss after inner updates : 2.322239398956299
2020-03-09 09:59:21,291:INFO: Meta batch loss: 4.908425331115723
2020-03-09 09:59:21,292:INFO: Average inner loss after inner updates : 4.908425331115723
2020-03-09 09:59:35,024:INFO: Meta batch loss: 7.493370056152344
2020-03-09 09:59:35,024:INFO: Average inner loss after inner updates : 7.493370056152344
2020-03-09 09:59:35,356:INFO: Total train loss: 14.724035263061523
2020-03-09 09:59:41,884:INFO: - Eval metrics : batch_loss: 13.474 ; slot_goal_accuracy: 0.976 ; joint_goal_accuracy: 0.400 ; slot_precision: 0.000 ; slot_recall: 0.000 ; slot_f1: 0.000
2020-03-09 09:59:41,884:INFO: Average Evaluation Loss: 13.47405054639517
2020-03-09 09:59:41,884:INFO: Total eval loss: 2223.218340155203
2020-03-09 09:59:41,884:INFO: Joint goal accuracy: 0.4
2020-03-09 09:59:41,884:INFO: Average goal accuracy: 0.9761038961038954
2020-03-09 09:59:41,884:INFO: Average slot precision: 0.0
2020-03-09 09:59:42,100:INFO: Meta epoch 7...
2020-03-09 09:59:55,607:INFO: Meta batch loss: 0.9887159466743469
2020-03-09 09:59:55,608:INFO: Average inner loss after inner updates : 0.9887159466743469
2020-03-09 10:00:10,394:INFO: Meta batch loss: 2.759246826171875
2020-03-09 10:00:10,394:INFO: Average inner loss after inner updates : 2.759246826171875
2020-03-09 10:00:23,763:INFO: Meta batch loss: 5.6676764488220215
2020-03-09 10:00:23,763:INFO: Average inner loss after inner updates : 5.6676764488220215
2020-03-09 10:00:24,128:INFO: Total train loss: 9.41563892364502
2020-03-09 10:00:30,621:INFO: - Eval metrics : batch_loss: 13.560 ; slot_goal_accuracy: 0.976 ; joint_goal_accuracy: 0.400 ; slot_precision: 0.000 ; slot_recall: 0.000 ; slot_f1: 0.000
2020-03-09 10:00:30,621:INFO: Average Evaluation Loss: 13.560157962781236
2020-03-09 10:00:30,622:INFO: Total eval loss: 2237.426063858904
2020-03-09 10:00:30,622:INFO: Joint goal accuracy: 0.4
2020-03-09 10:00:30,622:INFO: Average goal accuracy: 0.9761038961038954
2020-03-09 10:00:30,622:INFO: Average slot precision: 0.0
2020-03-09 10:00:30,781:INFO: Meta epoch 8...
2020-03-09 10:00:44,353:INFO: Meta batch loss: 0.8075520992279053
2020-03-09 10:00:44,354:INFO: Average inner loss after inner updates : 0.8075520992279053
2020-03-09 10:00:57,573:INFO: Meta batch loss: 1.2882359027862549
2020-03-09 10:00:57,574:INFO: Average inner loss after inner updates : 1.2882359027862549
2020-03-09 10:01:10,754:INFO: Meta batch loss: 3.690202474594116
2020-03-09 10:01:10,755:INFO: Average inner loss after inner updates : 3.690202474594116
2020-03-09 10:01:11,079:INFO: Total train loss: 5.7859907150268555
2020-03-09 10:01:17,410:INFO: - Eval metrics : batch_loss: 11.998 ; slot_goal_accuracy: 0.976 ; joint_goal_accuracy: 0.400 ; slot_precision: 0.000 ; slot_recall: 0.000 ; slot_f1: 0.000
2020-03-09 10:01:17,410:INFO: Average Evaluation Loss: 11.998073056024133
2020-03-09 10:01:17,410:INFO: Total eval loss: 1979.6820542439818
2020-03-09 10:01:17,410:INFO: Joint goal accuracy: 0.4
2020-03-09 10:01:17,410:INFO: Average goal accuracy: 0.9761038961038954
2020-03-09 10:01:17,410:INFO: Average slot precision: 0.0
2020-03-09 10:01:17,519:INFO: Meta epoch 9...
2020-03-09 10:01:30,817:INFO: Meta batch loss: 0.5685411691665649
2020-03-09 10:01:30,817:INFO: Average inner loss after inner updates : 0.5685411691665649
2020-03-09 10:01:44,275:INFO: Meta batch loss: 0.8367142081260681
2020-03-09 10:01:44,276:INFO: Average inner loss after inner updates : 0.8367142081260681
2020-03-09 10:01:57,382:INFO: Meta batch loss: 2.62609601020813
2020-03-09 10:01:57,383:INFO: Average inner loss after inner updates : 2.62609601020813
2020-03-09 10:01:57,704:INFO: Total train loss: 4.031351089477539
2020-03-09 10:02:04,319:INFO: - Eval metrics : batch_loss: 11.212 ; slot_goal_accuracy: 0.976 ; joint_goal_accuracy: 0.400 ; slot_precision: 0.000 ; slot_recall: 0.000 ; slot_f1: 0.000
2020-03-09 10:02:04,319:INFO: Average Evaluation Loss: 11.212061661289948
2020-03-09 10:02:04,319:INFO: Total eval loss: 1849.9901741128415
2020-03-09 10:02:04,319:INFO: Joint goal accuracy: 0.4
2020-03-09 10:02:04,319:INFO: Average goal accuracy: 0.9761038961038954
2020-03-09 10:02:04,319:INFO: Average slot precision: 0.0
2020-03-09 10:02:04,538:INFO: Meta epoch 10...
2020-03-09 10:02:18,022:INFO: Meta batch loss: 0.2500053942203522
2020-03-09 10:02:18,023:INFO: Average inner loss after inner updates : 0.2500053942203522
2020-03-09 10:02:31,652:INFO: Meta batch loss: 0.40062981843948364
2020-03-09 10:02:31,652:INFO: Average inner loss after inner updates : 0.40062981843948364
2020-03-09 10:02:44,716:INFO: Meta batch loss: 2.3679068088531494
2020-03-09 10:02:44,716:INFO: Average inner loss after inner updates : 2.3679068088531494
2020-03-09 10:02:45,049:INFO: Total train loss: 3.0185420513153076
2020-03-09 10:02:51,438:INFO: - Eval metrics : batch_loss: 11.254 ; slot_goal_accuracy: 0.976 ; joint_goal_accuracy: 0.400 ; slot_precision: 0.000 ; slot_recall: 0.000 ; slot_f1: 0.000
2020-03-09 10:02:51,438:INFO: Average Evaluation Loss: 11.25431384778384
2020-03-09 10:02:51,438:INFO: Total eval loss: 1856.9617848843336
2020-03-09 10:02:51,438:INFO: Joint goal accuracy: 0.4
2020-03-09 10:02:51,438:INFO: Average goal accuracy: 0.9761038961038954
2020-03-09 10:02:51,438:INFO: Average slot precision: 0.0
2020-03-09 10:02:51,580:INFO: Meta epoch 11...
2020-03-09 10:03:05,308:INFO: Meta batch loss: 0.08609654754400253
2020-03-09 10:03:05,308:INFO: Average inner loss after inner updates : 0.08609654754400253
2020-03-09 10:03:18,451:INFO: Meta batch loss: 0.18990056216716766
2020-03-09 10:03:18,451:INFO: Average inner loss after inner updates : 0.18990056216716766
2020-03-09 10:03:31,481:INFO: Meta batch loss: 2.0676321983337402
2020-03-09 10:03:31,481:INFO: Average inner loss after inner updates : 2.0676321983337402
2020-03-09 10:03:31,811:INFO: Total train loss: 2.3436293601989746
2020-03-09 10:03:38,132:INFO: - Eval metrics : batch_loss: 11.728 ; slot_goal_accuracy: 0.976 ; joint_goal_accuracy: 0.400 ; slot_precision: 0.000 ; slot_recall: 0.000 ; slot_f1: 0.000
2020-03-09 10:03:38,132:INFO: Average Evaluation Loss: 11.728079125556079
2020-03-09 10:03:38,132:INFO: Total eval loss: 1935.133055716753
2020-03-09 10:03:38,132:INFO: Joint goal accuracy: 0.4
2020-03-09 10:03:38,132:INFO: Average goal accuracy: 0.9761038961038954
2020-03-09 10:03:38,132:INFO: Average slot precision: 0.0
2020-03-09 10:03:38,245:INFO: Meta epoch 12...
2020-03-09 10:03:51,914:INFO: Meta batch loss: 0.040452927350997925
2020-03-09 10:03:51,914:INFO: Average inner loss after inner updates : 0.040452927350997925
2020-03-09 10:04:05,538:INFO: Meta batch loss: 0.09145405888557434
2020-03-09 10:04:05,538:INFO: Average inner loss after inner updates : 0.09145405888557434
2020-03-09 10:04:18,814:INFO: Meta batch loss: 0.9221608638763428
2020-03-09 10:04:18,816:INFO: Average inner loss after inner updates : 0.9221608638763428
2020-03-09 10:04:19,156:INFO: Total train loss: 1.054067850112915
2020-03-09 10:04:25,471:INFO: - Eval metrics : batch_loss: 11.989 ; slot_goal_accuracy: 0.976 ; joint_goal_accuracy: 0.400 ; slot_precision: 0.000 ; slot_recall: 0.000 ; slot_f1: 0.000
2020-03-09 10:04:25,471:INFO: Average Evaluation Loss: 11.989421949964582
2020-03-09 10:04:25,471:INFO: Total eval loss: 1978.2546217441559
2020-03-09 10:04:25,471:INFO: Joint goal accuracy: 0.4
2020-03-09 10:04:25,471:INFO: Average goal accuracy: 0.9761038961038954
2020-03-09 10:04:25,471:INFO: Average slot precision: 0.0
2020-03-09 10:06:22,382:INFO: Loading the datasets...
2020-03-09 10:06:22,382:INFO: -done
2020-03-09 10:06:22,514:INFO: Starting MAML for 20 meta epoch(s)
2020-03-09 10:06:25,276:INFO: Meta epoch 0...
2020-03-09 10:06:53,799:INFO: Meta batch loss: 2990.936767578125
2020-03-09 10:07:09,316:INFO: Meta batch loss: 1398.28857421875
2020-03-09 10:07:25,176:INFO: Meta batch loss: 1230.23828125
2020-03-09 10:07:38,432:INFO: Loading the datasets...
2020-03-09 10:07:38,432:INFO: -done
2020-03-09 10:07:38,561:INFO: Starting MAML for 20 meta epoch(s)
2020-03-09 10:07:41,435:INFO: Meta epoch 0...
2020-03-09 10:08:09,865:INFO: Meta batch loss: 2957.813720703125
2020-03-09 10:08:25,855:INFO: Meta batch loss: 1390.540283203125
2020-03-09 10:08:42,432:INFO: Meta batch loss: 1213.840087890625
2020-03-09 10:08:58,882:INFO: Meta batch loss: 816.253173828125
2020-03-09 10:09:14,868:INFO: Meta batch loss: 329.11431884765625
2020-03-09 10:09:31,008:INFO: Meta batch loss: 100.05250549316406
2020-03-09 10:09:31,110:INFO: Total train loss: 6807.6142578125
2020-03-09 10:09:59,553:INFO: - Eval metrics : batch_loss: 140.836 ; slot_goal_accuracy: 0.970 ; joint_goal_accuracy: 0.409 ; slot_precision: 0.000 ; slot_recall: 0.000 ; slot_f1: 0.000
2020-03-09 10:09:59,553:INFO: Average Evaluation Loss: 140.8355684198263
2020-03-09 10:09:59,553:INFO: Total eval loss: 71544.46875727177
2020-03-09 10:09:59,553:INFO: Joint goal accuracy: 0.4094488188976378
2020-03-09 10:09:59,553:INFO: Average goal accuracy: 0.9702474690663664
2020-03-09 10:09:59,553:INFO: Average slot precision: 0.0
2020-03-09 10:10:00,475:INFO: - Found new best loss
2020-03-09 10:10:00,478:INFO: Meta epoch 1...
2020-03-09 10:10:30,259:INFO: Meta batch loss: 58.50114059448242
2020-03-09 10:10:51,645:INFO: Loading the datasets...
2020-03-09 10:10:51,646:INFO: -done
2020-03-09 10:10:51,776:INFO: Starting MAML for 20 meta epoch(s)
2020-03-09 10:10:52,386:INFO: Meta epoch 0...
2020-03-09 10:11:07,791:INFO: Meta batch loss: 2935.597412109375
2020-03-09 10:11:07,894:INFO: Total train loss: 2935.597412109375
2020-03-09 10:28:16,910:INFO: Loading the datasets...
2020-03-09 10:28:16,910:INFO: -done
2020-03-09 10:28:17,045:INFO: Starting MAML for 20 meta epoch(s)
2020-03-09 10:28:23,310:INFO: Meta epoch 0...
2020-03-09 10:29:03,306:INFO: Meta batch loss: 2970.092529296875
2020-03-09 11:08:48,374:INFO: Loading the datasets...
2020-03-09 11:08:48,374:INFO: -done
2020-03-09 11:09:50,015:INFO: Loading the datasets...
2020-03-09 11:09:50,016:INFO: -done
2020-03-09 11:11:07,543:INFO: Loading the datasets...
2020-03-09 11:11:07,543:INFO: -done
2020-03-09 11:11:48,710:INFO: Loading the datasets...
2020-03-09 11:11:48,711:INFO: -done
2020-03-09 11:11:48,878:INFO: Starting MAML for 20 meta epoch(s)
2020-03-09 11:11:55,307:INFO: Meta epoch 0...
2020-03-09 11:12:37,545:INFO: Meta batch loss: 2947.0634765625
2020-03-09 11:13:21,293:INFO: Meta batch loss: 2721.0087890625
2020-03-09 11:14:04,559:INFO: Meta batch loss: 2234.673095703125
2020-03-09 11:14:50,186:INFO: Meta batch loss: 1340.8118896484375
2020-03-09 11:42:54,606:INFO: Loading the datasets...
2020-03-09 11:42:54,606:INFO: -done
2020-03-09 11:42:54,754:INFO: Starting MAML for 20 meta epoch(s)
2020-03-09 11:43:01,216:INFO: Meta epoch 0...
2020-03-09 14:35:34,383:INFO: Loading the datasets...
2020-03-09 14:35:34,383:INFO: -done
2020-03-09 14:35:34,545:INFO: Starting MAML for 20 meta epoch(s)
2020-03-09 14:36:47,000:INFO: Loading the datasets...
2020-03-09 14:36:47,000:INFO: -done
2020-03-09 14:36:47,136:INFO: Starting MAML for 20 meta epoch(s)
2020-03-09 14:36:50,103:INFO: Meta epoch 0...
2020-03-09 14:37:19,297:INFO: Loading the datasets...
2020-03-09 14:37:19,297:INFO: -done
2020-03-09 14:37:19,426:INFO: Starting MAML for 20 meta epoch(s)
2020-03-09 14:37:21,826:INFO: Meta epoch 0...
2020-03-09 14:39:59,666:INFO: Loading the datasets...
2020-03-09 14:39:59,666:INFO: -done
2020-03-09 14:39:59,812:INFO: Starting MAML for 20 meta epoch(s)
2020-03-09 14:40:02,483:INFO: Meta epoch 0...
2020-03-09 14:41:47,088:INFO: Total train loss: 10897.7152511117
2020-03-09 14:46:54,500:INFO: Loading the datasets...
2020-03-09 14:46:54,500:INFO: -done
2020-03-09 14:46:54,866:INFO: Starting MAML for 20 meta epoch(s)
2020-03-09 14:46:57,410:INFO: Meta epoch 0...
2020-03-09 14:50:45,105:INFO: Total train loss: 10891.693046113945
2020-03-09 14:51:11,133:INFO: - Eval metrics : batch_loss: 29.386 ; slot_goal_accuracy: 0.973 ; joint_goal_accuracy: 0.458 ; slot_precision: 0.000 ; slot_recall: 0.000 ; slot_f1: 0.000
2020-03-09 14:51:11,134:INFO: Average Evaluation Loss: 29.385581399353057
2020-03-09 14:51:11,134:INFO: Total eval loss: 16279.612095241593
2020-03-09 14:51:11,135:INFO: Joint goal accuracy: 0.4584837545126354
2020-03-09 14:51:11,135:INFO: Average goal accuracy: 0.9731820526044348
2020-03-09 14:51:11,135:INFO: Average slot precision: 0.0
2020-03-09 14:51:13,356:INFO: - Found new best loss
2020-03-09 14:51:13,357:INFO: Meta epoch 1...
2020-03-09 14:54:38,119:INFO: Loading the datasets...
2020-03-09 14:54:38,120:INFO: -done
2020-03-09 14:54:38,485:INFO: Starting MAML for 20 meta epoch(s)
2020-03-09 14:54:41,068:INFO: Meta epoch 0...
2020-03-09 14:58:36,130:INFO: Total train loss: 10977.773757728346
2020-03-09 15:29:17,606:INFO: Loading the datasets...
2020-03-09 15:29:17,606:INFO: -done
2020-03-09 15:29:17,973:INFO: Starting MAML for 20 meta epoch(s)
2020-03-09 15:29:20,633:INFO: Meta epoch 0...
2020-03-09 15:29:29,553:INFO: Loading the datasets...
2020-03-09 15:29:29,553:INFO: -done
2020-03-09 15:29:29,925:INFO: Starting MAML for 20 meta epoch(s)
2020-03-09 15:29:35,200:INFO: Meta epoch 0...
2020-03-09 15:29:55,594:INFO: Loading the datasets...
2020-03-09 15:29:55,594:INFO: -done
2020-03-09 15:29:55,956:INFO: Starting MAML for 20 meta epoch(s)
2020-03-09 15:30:01,148:INFO: Meta epoch 0...
2020-03-09 15:30:37,386:INFO: Loading the datasets...
2020-03-09 15:30:37,387:INFO: -done
2020-03-09 15:30:37,764:INFO: Starting MAML for 20 meta epoch(s)
2020-03-09 15:30:43,127:INFO: Meta epoch 0...
2020-03-09 15:33:31,975:INFO: Loading the datasets...
2020-03-09 15:33:31,975:INFO: -done
2020-03-09 15:33:32,368:INFO: Starting MAML for 20 meta epoch(s)
2020-03-09 15:33:37,887:INFO: Meta epoch 0...
2020-03-09 15:33:37,952:INFO: Inner loop...
2020-03-09 15:34:34,303:INFO: Loading the datasets...
2020-03-09 15:34:34,303:INFO: -done
2020-03-09 15:34:34,681:INFO: Starting MAML for 20 meta epoch(s)
2020-03-09 15:34:40,253:INFO: Meta epoch 0...
2020-03-09 15:34:40,319:INFO: Inner loop...
2020-03-09 15:35:54,324:INFO: Loading the datasets...
2020-03-09 15:35:54,324:INFO: -done
2020-03-09 15:35:54,718:INFO: Starting MAML for 20 meta epoch(s)
2020-03-09 15:36:00,102:INFO: Meta epoch 0...
2020-03-09 15:36:00,166:INFO: Inner loop...
2020-03-09 15:36:52,274:INFO: Meta update...
2020-03-09 15:37:45,504:INFO: Loading the datasets...
2020-03-09 15:37:45,504:INFO: -done
2020-03-09 15:37:45,872:INFO: Starting MAML for 20 meta epoch(s)
2020-03-09 15:37:51,324:INFO: Meta epoch 0...
2020-03-11 09:16:19,295:INFO: Loading the datasets...
2020-03-11 09:16:19,296:INFO: -done
2020-03-11 09:16:19,688:INFO: Starting MAML for 20 meta epoch(s)
2020-03-11 09:16:20,450:INFO: Meta epoch 0...
2020-03-11 09:18:23,971:INFO: Loading the datasets...
2020-03-11 09:18:23,971:INFO: -done
2020-03-11 09:18:24,363:INFO: Starting MAML for 20 meta epoch(s)
2020-03-11 09:18:29,862:INFO: Meta epoch 0...
2020-03-11 09:20:14,709:INFO: Loading the datasets...
2020-03-11 09:20:14,710:INFO: -done
2020-03-11 09:20:15,080:INFO: Starting MAML for 20 meta epoch(s)
2020-03-11 09:20:20,510:INFO: Meta epoch 0...
2020-03-11 09:21:48,556:INFO: Loading the datasets...
2020-03-11 09:21:48,556:INFO: -done
2020-03-11 09:21:48,919:INFO: Starting MAML for 20 meta epoch(s)
2020-03-11 09:21:54,275:INFO: Meta epoch 0...
2020-03-11 09:23:09,307:INFO: Total train loss: 1983.88290072842
2020-03-11 09:24:11,968:INFO: - Eval metrics : batch_loss: 2217.623 ; slot_goal_accuracy: 0.043 ; joint_goal_accuracy: 0.000 ; slot_precision: 0.000 ; slot_recall: 0.013 ; slot_f1: 0.001
2020-03-11 09:24:11,968:INFO: Average Evaluation Loss: 2217.6231832632748
2020-03-11 09:24:11,968:INFO: Total eval loss: 2479302.718888341
2020-03-11 09:24:11,968:INFO: Joint goal accuracy: 0.0
2020-03-11 09:24:11,969:INFO: Average goal accuracy: 0.04293381037567129
2020-03-11 09:24:11,969:INFO: Average slot precision: 0.00038252528806233406
2020-03-11 09:24:14,109:INFO: - Found new best loss
2020-03-11 09:24:14,110:INFO: Meta epoch 1...