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rausch/ru-t5-base-sci-cp-15k
ru-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.
Russian monolingual base model continued on the SciLaD target-language split as a 15k-step control baseline.
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From the Hugging Face model README
Russian monolingual base model continued on the SciLaD target-language split as a 15k-step control baseline.
This is a monolingual continued-pretraining control checkpoint reported in the paper table. It is provided for reproducibility of the baseline comparison.
RU-Base-CPbaseline-controlZero-shot Global-MMLU accuracy reported by the paper aggregation:
| Metric | Accuracy |
|---|---|
| Average | 24.17 |
| STEM | 23.25 |
| Humanities | 25.36 |
| Social Sciences | 23.24 |
| Other | 24.24 |
The model is evaluated primarily with zero-shot Global-MMLU. Downstream task-specific evaluation is recommended before deployment in specialized scientific workflows.