End of training

README.md

@@ -25,13 +25,13 @@ model-index:
     metrics:
     - name: Precision
       type: precision
-      value: 0.8240023449604288
+      value: 0.822425590865203
     - name: Recall
       type: recall
-      value: 0.8621374536320355
+      value: 0.8583257878902941
     - name: F1
       type: f1
-      value: 0.8426386519836992
+      value: 0.8399922822412943
 ---
 
 <!-- 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: 0.1297
-- Accuracy Score: 0.9589
-- Precision: 0.8240
-- Recall: 0.8621
-- F1: 0.8426
+- Loss: 0.1324
+- Accuracy Score: 0.9585
+- Precision: 0.8224
+- Recall: 0.8583
+- F1: 0.8400
 
 ## Model description
 
@@ -79,8 +79,8 @@ No additional optimizer arguments
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy Score | Precision | Recall | F1     |
 |:-------------:|:------:|:----:|:---------------:|:--------------:|:---------:|:------:|:------:|
-| 0.1052        | 0.9994 | 863  | 0.1325          | 0.9569         | 0.8153    | 0.8534 | 0.8339 |
-| 0.0753        | 1.9988 | 1726 | 0.1297          | 0.9589         | 0.8240    | 0.8621 | 0.8426 |
+| 0.1047        | 0.9994 | 863  | 0.1295          | 0.9563         | 0.8179    | 0.8437 | 0.8306 |
+| 0.0747        | 1.9988 | 1726 | 0.1324          | 0.9585         | 0.8224    | 0.8583 | 0.8400 |
 
 
 ### Framework versions