update model card README.md

README.md

@@ -20,10 +20,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.5980230642504119
+      value: 0.5617792421746294
     - name: F1
       type: f1
-      value: 0.6356173177675238
+      value: 0.6021353784442518
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,9 +33,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the health_fact dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0647
-- Accuracy: 0.5980
-- F1: 0.6356
+- Loss: 1.1172
+- Accuracy: 0.5618
+- F1: 0.6021
 
 ## Model description
 
@@ -60,17 +60,16 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 1.1717        | 1.0   | 154  | 0.9538          | 0.5453   | 0.5949 |
-| 0.9558        | 2.0   | 308  | 0.9300          | 0.5807   | 0.6237 |
-| 0.8609        | 3.0   | 462  | 0.9340          | 0.5758   | 0.6221 |
-| 0.7856        | 4.0   | 616  | 1.0276          | 0.5890   | 0.6270 |
-| 0.7129        | 5.0   | 770  | 1.0647          | 0.5980   | 0.6356 |
+| 1.1497        | 1.0   | 154  | 0.9639          | 0.5404   | 0.5887 |
+| 0.9639        | 2.0   | 308  | 0.9332          | 0.5692   | 0.6130 |
+| 0.841         | 3.0   | 462  | 0.9520          | 0.5544   | 0.6047 |
+| 0.734         | 4.0   | 616  | 1.1172          | 0.5618   | 0.6021 |
 
 
 ### Framework versions