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mt5-base-trimmed-de-75000
research-backup/mt5-base-trimmed-de-75000
mt5-base-trimmed-de-75000 is a machine learning model from research-backup. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
This model is a trimmed version of google/mt5-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.
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At a glance
- Library
- transformers
- Model type
- mt5
- Access
- Public
- Created
- Mar 4, 2023
- Updated
- Mar 4, 2023
- SHA
- d9a58811
Model card
From the Hugging Face model README
Vocabulary Trimmed google/mt5-base: vocabtrimmer/mt5-base-trimmed-de-75000
This model is a trimmed version of google/mt5-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.
| google/mt5-base | vocabtrimmer/mt5-base-trimmed-de-75000 | |
|---|---|---|
| parameter_size_full | 582,401,280 | 313,430,784 |
| parameter_size_embedding | 384,172,032 | 115,201,536 |
| vocab_size | 250,112 | 75,001 |
| compression_rate_full | 100.0 | 53.82 |
| compression_rate_embedding | 100.0 | 29.99 |
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 | 75000 | 2 |
- Library
- transformers
- Type
- mt5
- Created
- Mar 4, 2023
- Updated
- Mar 4, 2023