All language subtitles for 009 Google Colab How to continue an unfinished training

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Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:01,070 --> 00:00:05,600 Okay, then in the previous video training was talked before the specified epochs. 2 00:00:05,630 --> 00:00:08,690 This video will explain how to continue the previous training. 3 00:00:08,780 --> 00:00:11,060 Training will continue with the last words. 4 00:00:11,060 --> 00:00:13,580 This code cell is used to continue training. 5 00:00:13,580 --> 00:00:14,750 To continue training. 6 00:00:14,780 --> 00:00:16,040 Type the following command. 7 00:00:17,030 --> 00:00:19,970 Titan three in Pi in the bedside. 8 00:00:19,970 --> 00:00:22,430 We read it on device zero. 9 00:00:24,980 --> 00:00:25,900 In the data, right? 10 00:00:25,910 --> 00:00:30,410 The data file that was previously created that IMG, we write 640. 11 00:00:33,020 --> 00:00:33,980 In the CFD. 12 00:00:34,010 --> 00:00:34,240 Right. 13 00:00:34,250 --> 00:00:36,800 The configuration file that was previously created. 14 00:00:41,950 --> 00:00:42,550 In words. 15 00:00:42,550 --> 00:00:44,980 We use the last words from the previous training. 16 00:00:47,200 --> 00:00:53,800 In this example, it is Endurance Train YOLO five seven Face masks Weight loss dropped in the name we 17 00:00:53,800 --> 00:00:55,690 write YOLO five seven Face mask. 18 00:00:57,060 --> 00:01:00,320 In head Use helps create custom file in the data folder. 19 00:01:05,099 --> 00:01:05,790 In a box. 20 00:01:05,790 --> 00:01:06,870 We were like 300. 21 00:01:08,120 --> 00:01:09,950 Finally at the resumed argument. 22 00:01:15,130 --> 00:01:17,020 Run the concert to continue training. 23 00:01:48,760 --> 00:01:49,900 Here's an example. 24 00:01:49,930 --> 00:01:54,520 Training does not begin zero, but rather at the last epoch of the previous training. 25 00:02:17,060 --> 00:02:22,700 We will stop at the 63rd epoch because we have got a sufficient accuracy with MP of 0.72. 26 00:02:22,740 --> 00:02:24,700 To start press the following button. 27 00:02:24,710 --> 00:02:29,840 However, training should be continued until the maximum epoch or until the MLP value does not change 28 00:02:29,840 --> 00:02:31,200 after several epochs. 29 00:02:31,220 --> 00:02:34,920 In the next video we will try to detect face mask using the train weights. 30 00:02:34,940 --> 00:02:35,630 See you then. 2426

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