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---
datasets:
- SZTAKI-HLT/HunSum-2-abstractive
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: false
tags:
- hubert
- bert
- summarization
license: apache-2.0
---
# Model Card for Bert2Bert-HunSum-2
The Bert2Bert-HunSum-2 is a Hungarian abstractive summarization model, which was trained on the [SZTAKI-HLT/HunSum-2-abstractive dataset](https://huggingface.co/datasets/SZTAKI-HLT/HunSum-2-abstractive).
The model is based on [SZTAKI-HLT/hubert-base-cc](https://huggingface.co/SZTAKI-HLT/hubert-base-cc).
## Intended uses & limitations
- **Model type:** Text Summarization
- **Language(s) (NLP):** Hungarian
- **Resource(s) for more information:**
- [GitHub Repo](https://github.com/botondbarta/HunSum)
## Parameters
- **Batch Size:** 13
- **Learning Rate:** 5e-5
- **Weight Decay:** 0.01
- **Warmup Steps:** 16000
- **Epochs:** 10
- **no_repeat_ngram_size:** 3
- **num_beams:** 5
- **early_stopping:** False
## Results
| Metric | Value |
| :------------ | :------------------------------------------ |
| ROUGE-1 | 40.95 |
| ROUGE-2 | 14.18 |
| ROUGE-L | 27.42 | |