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research-backup/xlm-roberta-large-trimmed-de-90000
xlm-roberta-large-trimmed-de-90000 is a fill-mask model from research-backup. Use it when you need the model to fill a missing word. It is set up for transformers.
This model is a trimmed version of xlm-roberta-large by vocabtrimmer, a tool for trimming vocabulary of language models to compress the model size. Following table shows a summary of the trimming process.
Downloads · 30 days
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From the Hugging Face model README
vocabtrimmer/xlm-roberta-large-trimmed-de-90000This model is a trimmed version of xlm-roberta-large by vocabtrimmer, 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-90000 | |
|---|---|---|
| parameter_size_full | 560,142,482 | 396,142,482 |
| parameter_size_embedding | 256,002,048 | 92,162,048 |
| vocab_size | 250,002 | 90,002 |
| compression_rate_full | 100.0 | 70.72 |
| compression_rate_embedding | 100.0 | 36.0 |
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 | 90000 | 2 |