Vocabulary Trimmed google/mt5-base: seonjeongh/mt5-base-ko

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	seonjeongh/mt5-base-ko
parameter_size_full	582,401,280	310,904,064
parameter_size_embedding	384,172,032	112,674,816
vocab_size	250,112	73,356
compression_rate_full	100.0	53.38
compression_rate_embedding	100.0	29.33

Following table shows the parameter used to trim vocabulary.

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