# Vocabulary Trimmed [xlm-roberta-base](https://huggingface.co/xlm-roberta-base): `vocabtrimmer/xlm-roberta-base-trimmed-it-10000` 
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-it-10000   |
|:---------------------------|:-------------------|:-------------------------------------------------|
| parameter_size_full        | 278,295,186        | 93,735,186                                       |
| parameter_size_embedding   | 192,001,536        | 7,681,536                                        |
| vocab_size                 | 250,002            | 10,002                                           |
| compression_rate_full      | 100.0              | 33.68                                            |
| compression_rate_embedding | 100.0              | 4.0                                              |


Following table shows the parameter used to trim vocabulary.

 | language   | dataset                     | dataset_column   | dataset_name   | dataset_split   |   target_vocab_size |   min_frequency |
|:-----------|:----------------------------|:-----------------|:---------------|:----------------|--------------------:|----------------:|
| it         | vocabtrimmer/mc4_validation | text             | it             | validation      |               10000 |               2 |