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dano 2025-06-30 12:00:51 +00:00
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@ -15,13 +15,18 @@ Goal: Evaluate and improve language models for summarization in Slovak medical o
Tasks:
- Get familiar with basic tools and prepare working environment: HF transformers, datasets, lm-evaluation-harness, HF trl
1. Get familiar with basic tools
- and prepare working environment: HF transformers, datasets, lm-evaluation-harness, HF trl
- Read several recent papers about summarization using LLM and write a report.
- Get familiar how to perform and evaluate document summarization using language models in Slovak.
2. Make a comparison experiment
- Pick summarization datasets and models. Evaluate several models for evaluation using ROUGE and BLEU metrics.
- Describe the experiments. Summarize results in a table. Describe the results.
- Improve performance of a languge model. Use more data. Prepare a domain-oriented dataset and finetune a model. Maybe generate artificial data to imporve summarization.
3. Improve performance of a languge model.
- Use more data. Prepare a domain-oriented dataset and finetune a model. Maybe generate artificial data to imporve summarization.
- Run new expriments and write down the results.
4. Report and disseminate
- Prepare a final report with analysis, experiments and conclusions.
- Publish the fine-tuned models in HF HUB. Publish the paper from the project.