# Vocabulary Trimmed [xlm-roberta-large](https://huggingface.co/xlm-roberta-large): `vocabtrimmer/xlm-roberta-large-trimmed-de-75000` 
This model is a trimmed version of [xlm-roberta-large](https://huggingface.co/xlm-roberta-large) 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-large   | vocabtrimmer/xlm-roberta-large-trimmed-de-75000   |
|:---------------------------|:--------------------|:--------------------------------------------------|
| parameter_size_full        | 560,142,482         | 380,767,482                                       |
| parameter_size_embedding   | 256,002,048         | 76,802,048                                        |
| vocab_size                 | 250,002             | 75,002                                            |
| compression_rate_full      | 100.0               | 67.98                                             |
| compression_rate_embedding | 100.0               | 30.0                                              |


Following table shows the parameter used to trim vocabulary.

 | language   | dataset                     | dataset_column   | dataset_name   | dataset_split   |   target_vocab_size |   min_frequency |
|:-----------|:----------------------------|:-----------------|:---------------|:----------------|--------------------:|----------------:|
| de         | vocabtrimmer/mc4_validation | text             | de             | validation      |               75000 |               2 |