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+ # Vocabulary Trimmed [xlm-roberta-base](https://huggingface.co/xlm-roberta-base): `vocabtrimmer/xlm-roberta-base-trimmed-en-15000`
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+ This model is a trimmed version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) by [`vocabtrimmer`](https://github.com/asahi417/lm-vocab-trimmer), a tool for trimming vocabulary of language models to compress the model size.
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+ Following table shows a summary of the trimming process.
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+ | | xlm-roberta-base | vocabtrimmer/xlm-roberta-base-trimmed-en-15000 |
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+ |:---------------------------|:-------------------|:-------------------------------------------------|
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+ | parameter_size_full | 278,295,186 | 97,580,186 |
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+ | parameter_size_embedding | 192,001,536 | 11,521,536 |
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+ | vocab_size | 250,002 | 15,002 |
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+ | compression_rate_full | 100.0 | 35.06 |
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+ | compression_rate_embedding | 100.0 | 6.0 |
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+ Following table shows the parameter used to trim vocabulary.
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+ | language | dataset | dataset_column | dataset_name | dataset_split | target_vocab_size | min_frequency |
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+ |:-----------|:----------------------------|:-----------------|:---------------|:----------------|--------------------:|----------------:|
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+ | en | vocabtrimmer/mc4_validation | text | en | validation | 15000 | 2 |