biogpt-ner-krystal-1

README.md

@@ -26,16 +26,16 @@ model-index:
     metrics:
     - name: Precision
       type: precision
-      value: 0.46996466431095407
+      value: 0.9439193807852077
     - name: Recall
       type: recall
-      value: 0.5541666666666667
+      value: 0.9474699341955979
     - name: F1
       type: f1
-      value: 0.508604206500956
+      value: 0.9447486790340692
     - name: Accuracy
       type: accuracy
-      value: 0.9496634142651842
+      value: 0.9474699341955979
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -46,10 +46,10 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [microsoft/biogpt](https://huggingface.co/microsoft/biogpt) on the ncbi_disease dataset.
 It achieves the following results on the evaluation set:
 - Loss: nan
-- Precision: 0.4700
-- Recall: 0.5542
-- F1: 0.5086
-- Accuracy: 0.9497
+- Precision: 0.9439
+- Recall: 0.9475
+- F1: 0.9447
+- Accuracy: 0.9475
 
 ## Model description
 

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 1387087524