Vocabulary Trimmed google/mt5-base: vocabtrimmer/mt5-base-trimmed-de-75000

This model is a trimmed version of google/mt5-base by vocabtrimmer, a tool for trimming vocabulary of language models to compress the model size. Following table shows a summary of the trimming process.

google/mt5-base vocabtrimmer/mt5-base-trimmed-de-75000
parameter_size_full 582,401,280 313,430,784
parameter_size_embedding 384,172,032 115,201,536
vocab_size 250,112 75,001
compression_rate_full 100.0 53.82
compression_rate_embedding 100.0 29.99

Following table shows the parameter used to trim vocabulary.

language dataset dataset_column dataset_name dataset_split target_vocab_size min_frequency
de vocabtrimmer/mc4_validation text de validation 75000 2