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---
license: apache-2.0
datasets:
- SZTAKI-HLT/HunSum-2-abstractive
language:
- hu
metrics:
- rouge
pipeline_tag: summarization
inference:
parameters:
num_beams: 5
length_penalty: 2
max_length: 128
encoder_no_repeat_ngram_size: 4
no_repeat_ngram_size: 3
base_model:
- google/mt5-base
---
# 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](https://huggingface.co/datasets/SZTAKI-HLT/HunSum-2-abstractive).
The model is based on [google/mt5-base](https://huggingface.co/google/mt5-base).
## 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:** 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 | |