mirror of https://github.com/osmarks/nanogpt-experiments.git synced 2025-05-15 21:54:06 +00:00

History

Before:
  length of dataset in characters:  1115394
  all the unique characters: 
   !$&',-.3:;?ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz
  vocab size: 65
  train has 1003854 tokens
  val has 111540 tokens

After:
  length of dataset in characters: 1,115,394
  all the unique characters: 
   !$&',-.3:;?ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz
  vocab size: 65
  train has 1,003,854 tokens
  val has 111,540 tokens

2023-01-16 22:05:32 +01:00

prepare.py

Improve readability of huge numbers

2023-01-16 22:05:32 +01:00

readme.md

add support for character-level language models, a new character-level shakespeare dataset, a new config file that shows how to train a character-level baby GPT on it, and adjust the sample function to figure out if it should decode with characters or GPT2 bpe tokens. The current implementation is a bit hacky and basically assumes just these two possibilities. In the future we may want to support more general encoders or decoders.

2023-01-11 05:27:19 +00:00

readme.md

tiny shakespeare, character-level

Tiny shakespeare, of the good old char-rnn fame :) Treated on character-level.

After running prepare.py:

train.bin has 1,003,854 tokens
val.bin has 111,540 tokens