YAML Metadata
Warning:
empty or missing yaml metadata in repo card
(https://huggingface.co/docs/hub/model-cards#model-card-metadata)
Vocabulary Trimmed xlm-roberta-base: vocabtrimmer/xlm-roberta-base-trimmed-en-60000
This model is a trimmed version of xlm-roberta-base 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-base | vocabtrimmer/xlm-roberta-base-trimmed-en-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 |
---|---|---|---|---|---|---|
en | vocabtrimmer/mc4_validation | text | en | validation | 60000 | 2 |
- Downloads last month
- 2
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.