Model Card for mT5-base-HunSum-2

The mT5-base-HunSum-2 is a Hungarian abstractive summarization model, which was trained on the SZTAKI-HLT/HunSum-2-abstractive dataset. The model is based on google/mt5-base.

Intended uses & limitations

  • Model type: Text Summarization
  • Language(s) (NLP): Hungarian
  • Resource(s) for more information:

Parameters

  • Batch Size: 12
  • Learning Rate: 5e-5
  • Weight Decay: 0.01
  • Warmup Steps: 3000
  • Epochs: 10
  • no_repeat_ngram_size: 3
  • num_beams: 5
  • early_stopping: False
  • encoder_no_repeat_ngram_size: 4

Results

Metric Value
ROUGE-1 40.06
ROUGE-2 12.67
ROUGE-L 25.93
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Dataset used to train SZTAKI-HLT/mT5-base-HunSum-2