IMISLab/GreekT5-mt5-small-greeksum

summarization model by IMISLab

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A Greek news summarization model trained on GreekSum. This model is part of a series of models trained as part of our research paper: Giarelis, N., Mastrokostas, C., & Karacapilidis, N. (2024) GreekT5: Sequence-to-Sequence Models for Greek News Summarization [\[arxiv\]](https://arxiv.org/abs/2311.07767) The proposed models were trained and evaluated on the same dataset against GreekBART. For more information see the evaluation section below. The training dataset of GreekT5-mt5-small-greeksum is GreekSum, which is the first news summarization dataset for the Greek Language. This dataset contains 151,000 news articles collected from News24/7, belonging to various topics (i.e., society, politics, economy, culture or world news). For more information see: https://arxiv.org/abs/2304.00869 We trained google/mt5-small [300 million parameters (1.20 GB)] on the…

IMISLab/GreekT5-mt5-small-greeksum on Hugging Face A short preview, not the full document.

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  1. GreekT5 (mt5-small-greeksum)
  2. Training dataset
  3. Training configuration
  4. Evaluation
  5. Example code
  6. Contact
  7. Citation

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Model overview

IMISLab/GreekT5-mt5-small-greeksum is a summarization model repository published by IMISLab on Hugging Face. The source reports the transformers library.

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Model facts

Task
summarization
Library
transformers
Recent downloads (30 days)
422
Cumulative likes
3
Hugging Face trending score
0
Reported safetensors parameters
Not reported
Architecture
MT5ForConditionalGeneration
License
apache-2.0
Access
Not gated by Hugging Face
Created
2023-11-11T14:23:46.000Z
Last modified
2024-08-02T09:13:35.000Z

Compatibility and lineage

Reported languages: el

Base-model lineage was not included.

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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