Vocabulary Trimmed google/mt5-base: vocabtrimmer/mt5-base-trimmed-ja

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-ja
parameter_size_full	582,401,280	391,616,256
parameter_size_embedding	384,172,032	193,387,008
vocab_size	250,112	125,903
compression_rate_full	100.0	67.24
compression_rate_embedding	100.0	50.34

Following table shows the parameter used to trim vocabulary.

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