Vocabulary Trimmed cardiffnlp/xlm-roberta-base-tweet-sentiment-en: vocabtrimmer/xlm-roberta-base-tweet-sentiment-en-trimmed-en-15000
This model is a trimmed version of cardiffnlp/xlm-roberta-base-tweet-sentiment-en by vocabtrimmer, a tool for trimming vocabulary of language models to compress the model size.
Following table shows a summary of the trimming process.
| cardiffnlp/xlm-roberta-base-tweet-sentiment-en | vocabtrimmer/xlm-roberta-base-tweet-sentiment-en-trimmed-en-15000 | |
|---|---|---|
| parameter_size_full | 278,045,955 | 97,565,955 |
| parameter_size_embedding | 192,001,536 | 11,521,536 |
| vocab_size | 250,002 | 15,002 |
| compression_rate_full | 100.0 | 35.09 |
| compression_rate_embedding | 100.0 | 6.0 |
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 | 15000 | 2 |