| # Vocabulary Trimmed [google/mt5-small](https://huggingface.co/google/mt5-small): `vocabtrimmer/mt5-small-trimmed-fr-30000` | |
| This model is a trimmed version of [google/mt5-small](https://huggingface.co/google/mt5-small) 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. | |
| | | google/mt5-small | vocabtrimmer/mt5-small-trimmed-fr-30000 | | |
| |:---------------------------|:-------------------|:------------------------------------------| | |
| | parameter_size_full | 300,176,768 | 74,783,104 | | |
| | parameter_size_embedding | 256,114,688 | 30,721,024 | | |
| | vocab_size | 250,112 | 30,001 | | |
| | compression_rate_full | 100.0 | 24.91 | | |
| | compression_rate_embedding | 100.0 | 12.0 | | |
| Following table shows the parameter used to trim vocabulary. | |
| | language | dataset | dataset_column | dataset_name | dataset_split | target_vocab_size | min_frequency | | |
| |:-----------|:----------------------------|:-----------------|:---------------|:----------------|--------------------:|----------------:| | |
| | fr | vocabtrimmer/mc4_validation | text | fr | validation | 30000 | 2 | |