Vocabulary Trimmed google/mt5-base: vocabtrimmer/mt5-base-trimmed-es-30000

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-es-30000
parameter_size_full 582,401,280 244,310,784
parameter_size_embedding 384,172,032 46,081,536
vocab_size 250,112 30,001
compression_rate_full 100.0 41.95
compression_rate_embedding 100.0 12.0

Following table shows the parameter used to trim vocabulary.

language dataset dataset_column dataset_name dataset_split target_vocab_size min_frequency
es vocabtrimmer/mc4_validation text es validation 30000 2