3 ms·
http://karpathy.github.io/2019/04/25/recipe/ http://karpathy.github.io/2019/04/25/recipe/ > leave it training. I’ve often seen people tempted to stop the model
by gwern 2y ago
http://karpathy.github.io/2019/04/25/recipe/ http://karpathy.github.io/2019/04/25/recipe/
> leave it training. I’ve often seen people tempted to stop the model training when the validation loss seems to be leveling off. In my experience networks keep training for unintuitively long time. One time I accidentally left a model training during the winter break and when I got back in January it was SOTA (“state of the art”).
(This is not the oldest version, and doesn't mention the NN in question, but I believe this was about Neuraltalk, his image captioner.)