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:
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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