| # Vocabulary Trimmed [xlm-roberta-base](https://huggingface.co/xlm-roberta-base): `vocabtrimmer/xlm-roberta-base-trimmed-pt-60000` | |
| 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. | |
| Following table shows a summary of the trimming process. | |
| | | xlm-roberta-base | vocabtrimmer/xlm-roberta-base-trimmed-pt-60000 | | |
| |:---------------------------|:-------------------|:-------------------------------------------------| | |
| | parameter_size_full | 278,295,186 | 132,185,186 | | |
| | parameter_size_embedding | 192,001,536 | 46,081,536 | | |
| | vocab_size | 250,002 | 60,002 | | |
| | compression_rate_full | 100.0 | 47.5 | | |
| | compression_rate_embedding | 100.0 | 24.0 | | |
| Following table shows the parameter used to trim vocabulary. | |
| | language | dataset | dataset_column | dataset_name | dataset_split | target_vocab_size | min_frequency | | |
| |:-----------|:----------------------------|:-----------------|:---------------|:----------------|--------------------:|----------------:| | |
| | pt | vocabtrimmer/mc4_validation | text | pt | validation | 60000 | 2 | |