transformers bert fill-mask autotrain_compatible endpoints_compatible region:us
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.