Hi there, I trained a model on the google news corpus and was able to successfully create an output to load, however when I use the loadModel function with the output dataset I'm getting a memory overflow from node.
Im running Node v18, linux
I also tried including the flag for memory allocation in the npm run script, and while it seems to run for a longer period before overflowing, it still doesn't complete with up to 12Gb allocated.
I'm running on a 16Gb RAM, but I was wondering if I'm missing an optimization step. The word embeddings file is only 3Gb.
If there's anything that can be done to better utilize memory I feel like it should work, as I was able to train this model on the same machine.
Hi there, I trained a model on the google news corpus and was able to successfully create an output to load, however when I use the loadModel function with the output dataset I'm getting a memory overflow from node.
Im running Node v18, linux
I also tried including the flag for memory allocation in the npm run script, and while it seems to run for a longer period before overflowing, it still doesn't complete with up to 12Gb allocated.
I'm running on a 16Gb RAM, but I was wondering if I'm missing an optimization step. The word embeddings file is only 3Gb.
If there's anything that can be done to better utilize memory I feel like it should work, as I was able to train this model on the same machine.
Any help would be much appreciated! Thanks.