This is a smaller version of the google/mt5-base model with only Spanish embeddings left.

• The original model has 582M parameters, with 237M of them being input and output embeddings.
• After shrinking the sentencepiece vocabulary from 250K to 25K (top 25K Spanish tokens) the number of model parameters reduced to 237M parameters, and model size reduced from 2.2GB to 0.9GB - 42% of the original one.

Citing & Authors

• Datasets : cleaned corpora
• Model : google/mt5-base
• Reference: cointegrated/rut5-base