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# Vocabulary Trimmed [cardiffnlp/xlm-v-base-tweet-sentiment-en](https://huggingface.co/cardiffnlp/xlm-v-base-tweet-sentiment-en): `vocabtrimmer/xlm-v-base-tweet-sentiment-en-trimmed-en-5000`
This model is a trimmed version of [cardiffnlp/xlm-v-base-tweet-sentiment-en](https://huggingface.co/cardiffnlp/xlm-v-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-v-base-tweet-sentiment-en | vocabtrimmer/xlm-v-base-tweet-sentiment-en-trimmed-en-5000 |
|:---------------------------|:-------------------------------------------|:-------------------------------------------------------------|
| parameter_size_full | 778,495,491 | 89,885,955 |
| parameter_size_embedding | 692,451,072 | 3,841,536 |
| vocab_size | 901,629 | 5,002 |
| compression_rate_full | 100.0 | 11.55 |
| compression_rate_embedding | 100.0 | 0.55 |
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 | |