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

Vocabulary Trimmed lmqg/mbart-large-cc25-frquad-qg: vocabtrimmer/mbart-large-cc25-frquad-qg-trimmed-fr

This model is a trimmed version of lmqg/mbart-large-cc25-frquad-qg 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/mbart-large-cc25-frquad-qg vocabtrimmer/mbart-large-cc25-frquad-qg-trimmed-fr
parameter_size_full 610,852,864 442,588,160
parameter_size_embedding 256,028,672 87,763,968
vocab_size 250,028 85,707
compression_rate_full 100.0 72.45
compression_rate_embedding 100.0 34.28

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 2
Downloads last month
20
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.