Vocabulary Trimmed google/mt5-base: vocabtrimmer/mt5-base-trimmed-ru-90000

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-ru-90000
parameter_size_full 582,401,280 336,470,784
parameter_size_embedding 384,172,032 138,241,536
vocab_size 250,112 90,001
compression_rate_full 100.0 57.77
compression_rate_embedding 100.0 35.98

Following table shows the parameter used to trim vocabulary.

language dataset dataset_column dataset_name dataset_split target_vocab_size min_frequency
ru vocabtrimmer/mc4_validation text ru validation 90000 2