update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.8540648951195363
+      value: 0.8526968320709598
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +31,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/deberta-base](https://huggingface.co/microsoft/deberta-base) on the glue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4511
-- F1: 0.8541
+- Loss: 0.4009
+- F1: 0.8527
 
 ## Model description
 
@@ -57,16 +57,18 @@ 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: 4
+- num_epochs: 6
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| No log        | 1.0   | 221  | 1.1080          | 0.4104 |
-| 1.1005        | 2.0   | 442  | 0.6008          | 0.7900 |
-| 0.4343        | 3.0   | 663  | 0.4740          | 0.8496 |
-| 0.4343        | 4.0   | 884  | 0.4511          | 0.8541 |
+| No log        | 1.0   | 221  | 1.1820          | 0.2111 |
+| 1.1195        | 2.0   | 442  | 0.7073          | 0.7068 |
+| 0.4953        | 3.0   | 663  | 0.5068          | 0.8311 |
+| 0.4953        | 4.0   | 884  | 0.4326          | 0.8498 |
+| 0.2767        | 5.0   | 1105 | 0.4155          | 0.8553 |
+| 0.2147        | 6.0   | 1326 | 0.4009          | 0.8527 |
 
 
 ### Framework versions