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jaindeepali010/clinical_ner_finetuned_g2model
clinical_ner_finetuned_g2model is a fill-mask model from jaindeepali010. Use it when you need the model to fill a missing word. It is set up for transformers.
This model is a clinical NER model finetuned using bert-base-uncased model, trained on G2 dataset. Training and validation was done using 80% of the total data (random state=42), while 20% used for testing.
Downloads · 30 days
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From the Hugging Face model README
This model is a clinical NER model finetuned using bert-base-uncased model, trained on G2 dataset. Training and validation was done using 80% of the total data (random state=42), while 20% used for testing.
The model was trained for 20 epoch with an early stopping patience of 3 epochs.