metadata
datasets:
- SZTAKI-HLT/HunSum-1
language:
- hu
metrics:
- rouge
pipeline_tag: text2text-generation
inference:
parameters:
num_beams: 5
length_penalty: 2
max_length: 128
no_repeat_ngram_size: 3
early_stopping: true
tags:
- hubert
- bert
- summarization
Model Card for Bert2Bert-HunSum-1
The Bert2Bert-HunSum-1 is a Hungarian abstractive summarization model, which was trained on the SZTAKI-HLT/HunSum-1 dataset. The model is based on SZTAKI-HLT/hubert-base-cc.
Intended uses & limitations
- Model type: Text Summarization
- Language(s) (NLP): Hungarian
- Resource(s) for more information:
Parameters
- Batch Size: 13
- Learning Rate: 5e-5
- Weight Decay: 0.01
- Warmup Steps: 16000
- Epochs: 15
- no_repeat_ngram_size: 3
- num_beams: 5
- early_stopping: True
Results
| Metric | Value |
|---|---|
| ROUGE-1 | 28.52 |
| ROUGE-2 | 10.35 |
| ROUGE-L | 20.07 |