YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/model-cards#model-card-metadata)

Vocabulary Trimmed lmqg/mt5-base-esquad-qg-ae: lmqg/mt5-base-esquad-qg-ae-trimmed-50000

This model is a trimmed version of lmqg/mt5-base-esquad-qg-ae by vocabtrimmer, a tool for trimming vocabulary of language models to compress the model size. Following table shows a summary of the trimming process.

lmqg/mt5-base-esquad-qg-ae lmqg/mt5-base-esquad-qg-ae-trimmed-50000
parameter_size_full 582,384,384 275,032,320
parameter_size_embedding 384,155,136 76,803,072
vocab_size 250,101 50,002
compression_rate_full 100.0 47.23
compression_rate_embedding 100.0 19.99

Following table shows the parameter used to trim vocabulary.

language dataset dataset_column dataset_name dataset_split target_vocab_size min_frequency
es vocabtrimmer/mc4_validation text es validation 50000 2
Downloads last month
9
Inference Examples
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.