Vocabulary Trimmed xlm-roberta-base: vocabtrimmer/xlm-roberta-base-trimmed-en-30000

This model is a trimmed version of xlm-roberta-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.

	xlm-roberta-base	vocabtrimmer/xlm-roberta-base-trimmed-en-30000
parameter_size_full	278,295,186	109,115,186
parameter_size_embedding	192,001,536	23,041,536
vocab_size	250,002	30,002
compression_rate_full	100.0	39.21
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
en	vocabtrimmer/mc4_validation	text	en	validation	30000	2