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