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license: apache-2.0 |
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language: |
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- es |
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--- |
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# A Biomedical Nested NER corpus to support T2KNOW project |
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This model is a fine-tuned version of the `bert-base-uncased` model using the [T2KNOW corpus](https://zenodo.org/records/12683712). |
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The training process involved 30 iterations. |
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The code for both training and evaluation of the model is available in the [T2KNOW GitHub repository](https://github.com/edugredu/T2KNOWcode) |
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T2KNOW available models: |
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- [`bert-base-uncased` with 10 iterations](https://huggingface.co/edugredu/t2know_bert_10iter) |
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- [`bert-base-uncased` with 20 iterations](https://huggingface.co/edugredu/t2know_bert_20iter) |
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- [`bert-base-uncased` with 30 iterations](https://huggingface.co/edugredu/t2know_bert_30iter) |
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- [`biobert-base-cased-v1.1` with 10 iterations](https://huggingface.co/edugredu/t2know_biobert_10iter) |
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- [`biobert-base-cased-v1.1` with 20 iterations](https://huggingface.co/edugredu/t2know_biobert_20iter) |
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- [`biobert-base-cased-v1.1` with 30 iterations](https://huggingface.co/edugredu/t2know_biobert_30iter) |
