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mirror of https://github.com/osmarks/nanogpt-experiments.git synced 2024-12-22 16:10:28 +00:00
Commit Graph

5 Commits

Author SHA1 Message Date
Christian Orr
36c7db8c44
bugfix in decode function
Return was left out of the decoder, so it didn't work.
2023-03-08 10:16:19 +02:00
DG
bf779456f3 add relative import in shakespeare_char 2023-01-22 11:11:25 -08:00
DG
edb7a7eab0 use relative paths so that running the data prep scripts always create files in local folder, no matter where run from 2023-01-20 10:39:45 -08:00
リョウゼ
be571fff2c
Improve readability of huge numbers
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
Andrej Karpathy
d17350a31d 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