ml6team / mt5-small-german-finetune-mlsum

huggingface.co
Total runs: 224
24-hour runs: 0
7-day runs: 19
30-day runs: 84
Model's Last Updated: January 28 2021
summarization

Introduction of mt5-small-german-finetune-mlsum

Model Details of mt5-small-german-finetune-mlsum

mT5-small fine-tuned on German MLSUM

This model was finetuned for 3 epochs with a max_len (input) of 768 tokens and target_max_len of 192 tokens.
It was fine-tuned on all German articles present in the train split of the MLSUM dataset having less than 384 "words" after splitting on whitespace, which resulted in 80249 articles.
The exact expression to filter the dataset was the following:

dataset = dataset.filter(lambda e: len(e['text'].split()) < 384)
Evaluation results

The fine-tuned model was evaluated on 2000 random articles from the validation set. Mean f1 ROUGE scores were calculated for both the fine-tuned model and the lead-3 baseline (which simply produces the leading three sentences of the document) and are presented in the following table.

Model Rouge-1 Rouge-2 Rouge-L
mt5-small 0.399 0.318 0.392
lead-3 0.343 0.263 0.341

Runs of ml6team mt5-small-german-finetune-mlsum on huggingface.co

224
Total runs
0
24-hour runs
-5
3-day runs
19
7-day runs
84
30-day runs

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mt5-small-german-finetune-mlsum is an open source model from GitHub that offers a free installation service, and any user can find mt5-small-german-finetune-mlsum on GitHub to install. At the same time, huggingface.co provides the effect of mt5-small-german-finetune-mlsum install, users can directly use mt5-small-german-finetune-mlsum installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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