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README.md
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# Vocabulary Trimmed [cardiffnlp/xlm-roberta-base-tweet-sentiment-en](https://huggingface.co/cardiffnlp/xlm-roberta-base-tweet-sentiment-en): `vocabtrimmer/xlm-roberta-base-tweet-sentiment-en-trimmed-en-10000`
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This model is a trimmed version of [cardiffnlp/xlm-roberta-base-tweet-sentiment-en](https://huggingface.co/cardiffnlp/xlm-roberta-base-tweet-sentiment-en) 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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| | cardiffnlp/xlm-roberta-base-tweet-sentiment-en | vocabtrimmer/xlm-roberta-base-tweet-sentiment-en-trimmed-en-10000 |
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|:---------------------------|:-------------------------------------------------|:--------------------------------------------------------------------|
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| parameter_size_full | 278,045,955 | 93,725,955 |
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| parameter_size_embedding | 192,001,536 | 7,681,536 |
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| vocab_size | 250,002 | 10,002 |
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| compression_rate_full | 100.0 | 33.71 |
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| compression_rate_embedding | 100.0 | 4.0 |
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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 | 10000 | 2 |
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