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pl-t5-base-sci-cp-15k
rausch/pl-t5-base-sci-cp-15k
pl-t5-base-sci-cp-15k is a machine learning model from rausch. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
Polish monolingual base model continued on the SciLaD target-language split as a 15k-step control baseline.
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At a glance
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- May 7, 2026
- Updated
- May 7, 2026
- SHA
- 0449f989
Base models
Datasets
Model card
From the Hugging Face model README
PL-Base-CP
Polish monolingual base model continued on the SciLaD target-language split as a 15k-step control baseline.
Model Details
This is a monolingual continued-pretraining control checkpoint reported in the paper table. It is provided for reproducibility of the baseline comparison.
- Paper name:
PL-Base-CP - Model role:
baseline-control - Source/base model: allegro/plt5-base
- Code and pipeline: GitHub repository
- Architecture: T5 encoder-decoder
- SciLaD dataset: scilons/SciLaD-all-text-v1
- Evaluation benchmark: Global-MMLU
Evaluation
Zero-shot Global-MMLU accuracy reported by the paper aggregation:
| Metric | Accuracy |
|---|---|
| Average | 24.65 |
| STEM | 23.88 |
| Humanities | 24.51 |
| Social Sciences | 23.43 |
| Other | 26.87 |
Limitations
The model is evaluated primarily with zero-shot Global-MMLU. Downstream task-specific evaluation is recommended before deployment in specialized scientific workflows.
Citation
- Title: Transferring Scientific English Pre-Trained Language Models to Multiple Languages Using Cross-Lingual Transfer
- Authors: Nikolas Rauscher, Fabio Barth, Georg Rehm
- Venue: LREC-COLING 2026, citation details TBA after publication
- Library
- transformers
- Type
- t5
- Languages
- pl
- Created
- May 7, 2026
- Updated
- May 7, 2026