update model card README.md

README.md

@@ -24,16 +24,16 @@ model-index:
     metrics:
     - name: Precision
       type: precision
-      value: 0.4240317775571003
+      value: 0.4699792960662526
     - name: Recall
       type: recall
-      value: 0.542566709021601
+      value: 0.576874205844981
     - name: F1
       type: f1
-      value: 0.47603121516165
+      value: 0.517969195664575
     - name: Accuracy
       type: accuracy
-      value: 0.9570578396670427
+      value: 0.9581469524291104
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -43,11 +43,11 @@ 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: 0.1491
-- Precision: 0.4240
-- Recall: 0.5426
-- F1: 0.4760
-- Accuracy: 0.9571
+- Loss: 0.1728
+- Precision: 0.4700
+- Recall: 0.5769
+- F1: 0.5180
+- Accuracy: 0.9581
 
 ## Model description
 
@@ -78,9 +78,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.3047        | 1.0   | 679  | 0.1656          | 0.3516    | 0.4231 | 0.3841 | 0.9480   |
-| 0.1703        | 2.0   | 1358 | 0.1464          | 0.3940    | 0.4701 | 0.4287 | 0.9549   |
-| 0.1027        | 3.0   | 2037 | 0.1491          | 0.4240    | 0.5426 | 0.4760 | 0.9571   |
+| 0.1029        | 1.0   | 679  | 0.1493          | 0.4228    | 0.5845 | 0.4907 | 0.9554   |
+| 0.076         | 2.0   | 1358 | 0.1756          | 0.4138    | 0.5705 | 0.4797 | 0.9533   |
+| 0.0516        | 3.0   | 2037 | 0.1728          | 0.4700    | 0.5769 | 0.5180 | 0.9581   |
 
 
 ### Framework versions