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https://github.com/inzva/Medical-Electra.git
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@@ -106,6 +106,7 @@ https://tensorboard.dev/experiment/qu1bQ0MiRGOCgqbZHQs2tA/#scalars
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### RESULTS
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### Named Entity Recognition
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For named entity recognition,we used NCBI-Disease corpus, which is a resource for disease name recognition published in PubMed.
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#### Sequence Length 128
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@@ -134,7 +135,7 @@ https://tensorboard.dev/experiment/qu1bQ0MiRGOCgqbZHQs2tA/#scalars
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| Model | F1 | Loss | accuracy | precision | recall |
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|:---------------------------------------|:--------:|:----------:|:------------:|:-----------:|:--------:|
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| enelpi/med-electra-small-discriminator | 0.8463 | 0.0559 | 0.9823 | 0.8071 | 0.8895 |
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| google/electra-small-discriminator | - | - | - | - | - |
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| google/electra-small-discriminator | 0.8280 | 0.0691 | 0.9806 | 0.8025 | 0.8552 |
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| google/electra-base-discriminator | 0.8542 | 0.0645 | 0.9840 | 0.8307 | 0.8791 |
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| distilbert-base-uncased | 0.8424 | 0.0799 | 0.9822 | 0.8251 | 0.8604 |
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| distilroberta-base | 0.8339 | 0.0924 | 0.9806 | 0.8136 | 0.8552 |
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@@ -154,6 +155,7 @@ https://github.com/allenai/s2orc
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https://github.com/allenai/scibert
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https://github.com/abachaa/MedQuAD
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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5530755/
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https://pubmed.ncbi.nlm.nih.gov/24393765/
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https://github.com/LasseRegin/medical-question-answer-data
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https://huggingface.co/blog/how-to-train
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https://arxiv.org/abs/1909.06146
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