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Vocabulary Trimmed xlm-roberta-base: vocabtrimmer/xlm-roberta-base-trimmed-en-5000

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-5000
parameter_size_full 278,295,186 89,890,186
parameter_size_embedding 192,001,536 3,841,536
vocab_size 250,002 5,002
compression_rate_full 100.0 32.3
compression_rate_embedding 100.0 2.0

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 5000 2