End of training

README.md

@@ -25,13 +25,13 @@ model-index:
     metrics:
     - name: Precision
       type: precision
-      value: 0.9728045325779037
+      value: 1.0
     - name: Recall
       type: recall
-      value: 0.9755681818181818
+      value: 0.016856060606060607
     - name: F1
       type: f1
-      value: 0.9741843971631207
+      value: 0.03315328739057553
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -41,11 +41,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [michiyasunaga/BioLinkBERT-large](https://huggingface.co/michiyasunaga/BioLinkBERT-large) on the source_data dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0017
-- Accuracy Score: 0.9996
-- Precision: 0.9728
-- Recall: 0.9756
-- F1: 0.9742
+- Loss: 0.1050
+- Accuracy Score: 0.9833
+- Precision: 1.0
+- Recall: 0.0169
+- F1: 0.0332
 
 ## Model description
 
@@ -79,7 +79,7 @@ No additional optimizer arguments
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy Score | Precision | Recall | F1     |
 |:-------------:|:------:|:----:|:---------------:|:--------------:|:---------:|:------:|:------:|
-| 0.0009        | 0.9994 | 863  | 0.0017          | 0.9996         | 0.9728    | 0.9756 | 0.9742 |
+| 0.1072        | 0.9994 | 863  | 0.1050          | 0.9833         | 1.0       | 0.0169 | 0.0332 |
 
 
 ### Framework versions