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flax-community/t5-base-dutch-demo
t5-base-dutch-demo is a text generation model from flax-community. Use it when you need the model to write or continue text. It is set up for transformers.
Created by Yeb Havinga & Dat Nguyen during the Hugging Face community week
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From the Hugging Face model README
Created by Yeb Havinga & Dat Nguyen during the Hugging Face community week
This model is based on t5-base-dutch and fine-tuned to create summaries of news articles.
For a demo of the model, head over to the Hugging Face Spaces for the Netherformer 📰 example application!
t5-base-dutch-demo is fine-tuned on three mixed news sources:
The total number of training examples in this dataset is 1366592.
Training consisted of fine-tuning t5-base-dutch with the following parameters:
The performance of the summarization model is measured with the Rouge metric from the Huggingface Datasets library.
"rouge{n}" (e.g. `"rouge1"`, `"rouge2"`) where: {n} is the n-gram based scoring,
"rougeL": Longest common subsequence based scoring.
These scores are expected to improve if the model is trained with evaluation configured for the CNN DM and XSUM datasets (translated to Dutch) individually.