| # 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-5000` | |
| 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. | |
| Following table shows a summary of the trimming process. | |
| | | cardiffnlp/xlm-roberta-base-tweet-sentiment-en | vocabtrimmer/xlm-roberta-base-tweet-sentiment-en-trimmed-en-5000 | | |
| |:---------------------------|:-------------------------------------------------|:-------------------------------------------------------------------| | |
| | parameter_size_full | 278,045,955 | 89,885,955 | | |
| | parameter_size_embedding | 192,001,536 | 3,841,536 | | |
| | vocab_size | 250,002 | 5,002 | | |
| | compression_rate_full | 100.0 | 32.33 | | |
| | 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 | |