---
license: apache-2.0
language:
- es
---
# A Biomedical Nested NER corpus to support T2KNOW project

This model is a fine-tuned version of the `bert-base-uncased` model using the [T2KNOW corpus](https://zenodo.org/records/12683712).

The training process involved 20 iterations.

The code for both training and evaluation of the model is available in the [T2KNOW GitHub repository](https://github.com/edugredu/T2KNOWcode)

T2KNOW available models:
- [`bert-base-uncased` with 10 iterations](https://huggingface.co/edugredu/t2know_bert_10iter)
- [`bert-base-uncased` with 20 iterations](https://huggingface.co/edugredu/t2know_bert_20iter)
- [`bert-base-uncased` with 30 iterations](https://huggingface.co/edugredu/t2know_bert_30iter)
- [`biobert-base-cased-v1.1` with 10 iterations](https://huggingface.co/edugredu/t2know_biobert_10iter)
- [`biobert-base-cased-v1.1` with 20 iterations](https://huggingface.co/edugredu/t2know_biobert_20iter)
- [`biobert-base-cased-v1.1` with 30 iterations](https://huggingface.co/edugredu/t2know_biobert_30iter)