tokenizing Open-Source Projects

• tokenmonster

  9 514 8.8 Go

  Ungreedy subword tokenizer and vocabulary trainer for Python, Go & Javascript

Project mention: Tokenizer benchmark comparing 16 language models pre-trained from scratch | news.ycombinator.com | 2023-09-05

The actual analysis: https://github.com/alasdairforsythe/tokenmonster/blob/main/b...

> Summary of Findings:

> - Comparable (50256-strict-nocapcode) TokenMonster vocabularies perform better than both GPT-2 Tokenizer and tiktoken p50k_base on all metrics.

> - Optimal vocabulary size is 32,000.

> - Simpler vocabularies converge faster but do not necessarily produce better results when converged.

> - Higher compression (more chr/tok) does not negatively affect model quality alone.

> - Vocabularies with multiple words per token have a 5% negative impact on SMLQA (Ground Truth) benchmark, but a 13% better chr/tok compression.

> - Capcode takes longer to learn, but once the model has converged, does not appear to affect SMLQA (Ground Truth) or SQuAD (Data Extraction) benchmarks significantly in either direction.

> - Validation loss and F1 score are both meaningless metrics when comparing different tokenizers.

> - Flaws and complications in the tokenizer affect the model's ability to learn facts more than they affect its linguistic capability.

• tokenizer

  0 87 5.4 Go

  Tokenizer (lexer) for golang (by bzick)

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