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README.md
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# Hungarian Abstractive Summarization BART model
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- BART base model:
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- Pretrained on Webcorpus 2.0
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- Finetuned NOL corpus (nol.hu)
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- Segments: 397,343
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- max_source_length = 512
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- max_target_length = 256
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## Citation
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If you use this model, please cite the following paper:
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# Hungarian Abstractive Summarization BART model
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- BART base model (see Results Table - bold):
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- Pretrained on Webcorpus 2.0
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- Finetuned NOL corpus (nol.hu)
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- Segments: 397,343
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- max_source_length = 512
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- max_target_length = 256
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## Results
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| Model | HI | NOL |
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| ------------- | ------------- | ------------- |
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| BART-base-512 | 30.18/13.86/22.92 | **46.48/32.40/39.45** |
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| BART-base-1024| 31.86/14.59/23.79 | 47.01/32.91/39.97 |
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## Citation
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If you use this model, please cite the following paper:
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