Alright, this might be a litte bit of a dump question but where exactry can I see the CER?
2 Percent improvement time=56, best error was 12.49 @ 8294 At iteration 8350/10000/10000, Mean rms=2.701%, delta=2.491%, char train=10.385%, word train=24.4%, skip ratio=0%, New best char error = 10.385 wrote best model:data/Common_num/checkpoints/Common_num10.385_8350.checkpoint wrote checkpoint. Is it the "best char error"? Where do I have to look to find CER? Is the CER in the above example? Also what are signs that my model is overfitted? Is there any possibility recognicing this in the above statement? [email protected] schrieb am Mittwoch, 22. November 2023 um 15:34:52 UTC+1: > The character rate is the most common measure of the quality of your > training. > - train with large data. Run it on a couple of epochs; so that your CER > will be as close as 0.01. That is the most common strategy. > > On Wednesday, November 22, 2023 at 4:50:45 PM UTC+3 [email protected] > wrote: > >> As I am training my model I got in contact with the following metrics: >> >> E.g.: >> At iteration 6345/6500/6500, Mean rms=6.246%, delta=7.139%, char >> train=68.07%, word train=92.2%, skip ratio=0%, New best char error = 68.07 >> wrote checkpoint. >> >> Unfortunately I don't find any proper and detailed description or >> explanation of these metrics on the web. >> >> To evaluate the metrics this information would be really helpful, as >> right now It feels more like guessing what values are "good". As most >> developers are lacking in experience it is pretty hard to tell what values >> are "good" or "bad". >> >> >> -- You received this message because you are subscribed to the Google Groups "tesseract-ocr" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/tesseract-ocr/d25163c5-4a4d-47d3-9c5a-19ddbb1781cbn%40googlegroups.com.
