medbioinformatics/biobert-v1.1-text-classifier

README.md

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 This model is a fine-tuned version of [dmis-lab/biobert-v1.1](https://huggingface.co/dmis-lab/biobert-v1.1) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2797
-- Precision: 0.9203
-- Recall: 0.9206
-- Accuracy: 0.9203
-- F1: 0.9204
+- Loss: 0.2669
+- Precision: 0.9098
+- Recall: 0.9091
+- Accuracy: 0.9089
+- F1: 0.9089
 
 ## Model description
 

runs/Feb16_10-18-57_1840cdbf14a3/events.out.tfevents.1708079659.1840cdbf14a3.743.4

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