[spam] [personal] perceiver model notes

[Undiscussed Horrific Abuse, One Victim & Survivor of]

> https://bafkreie7gyyy3alribjyl72hlm4pk4allyul7xem7yqmpl66yzcidumfnq.ipfs.dweb.link/

I modified this to save the trained model with a line at the end of
"model.save_pretrained('words2nums')" which makes a folder and pickles
the trained parameters into it, in a torch-specific zip format.

I also changed the batch size to 128 when I ran it. I think it was
performing well with a much smaller batchsize. It went to step 3850 or
so to go through all 500k data. The loss doesn't drop below 0.08 or so
- maybe it would perform better with a learning rate that reduced over
time - but it gets the answers right, it just doesn't reach 100%
certainty.

nftp has stopped working for me on colab. When I `npm install -g nftp`
a dependency error crops up and terminates the script.