Spanish biomedical specialization
The model card describes a RoBERTa-based model trained on Spanish biomedical corpora assembled from public sources and crawlers.
Open Source Model Profile · PlanTL-GOB-ES
roberta-base-biomedical-es is a PlanTL-GOB-ES RoBERTa fill-mask model for Spanish biomedical text. Its card documents downstream NER fine-tuning use.
roberta-base-biomedical-es is published by PlanTL-GOB-ES as a fill-mask model for Spanish biomedical text. The captured configuration identifies RobertaForMaskedLM with model type roberta. According to the model card, it is a RoBERTa-based model trained on a Spanish biomedical corpus and directly usable for masked language modeling.
The model card describes a RoBERTa-based model trained on Spanish biomedical corpora assembled from public sources and crawlers.
According to the model card, the model is directly usable for fill-mask work and is intended for fine-tuning on Named Entity Recognition or Text Classification.
The card reports 48 hours on 16 NVIDIA V100 16GB GPUs with Adam, peak learning rate 0.0005, and a 2,048-sentence effective batch size.
According to the model card, the model scored 89.48 on PharmaCoNER, 83.87 on CANTEMIST, and 88.12 on ICTUSnet against mBERT and BETO baselines.
Source: PlanTL-GOB-ES/roberta-base-biomedical-es
Captured: Unknown. Processed: 2026-09-07T19:34:35.677330+00:00.
Biomedical language model for Spanish Table of contents Click to expand Model description Intended uses and limitations How to use Limitations and bias Training Tokenization and model pretraining Training corpora and preprocessing Evaluation Additional information Author Contact information Copyright Licensing information Funding Disclaimer Model description Biomedical pretrained language model for Spanish. For more details about the corpus, the pretraining and the evaluation, check the official repository and read our preprint . Intended uses and limitations The model is ready-to-use only for masked language modelling to perform th…
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