update model card README.md

README.md

@@ -16,7 +16,7 @@ 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 becasv2 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 4.7546
+- Loss: 3.1357
 
 ## Model description
 
@@ -47,16 +47,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 8    | 5.1392          |
-| No log        | 2.0   | 16   | 4.4811          |
-| No log        | 3.0   | 24   | 4.0169          |
-| No log        | 4.0   | 32   | 3.8533          |
-| No log        | 5.0   | 40   | 3.7860          |
-| No log        | 6.0   | 48   | 4.0378          |
-| No log        | 7.0   | 56   | 4.3794          |
-| No log        | 8.0   | 64   | 4.4559          |
-| No log        | 9.0   | 72   | 4.7100          |
-| No log        | 10.0  | 80   | 4.7546          |
+| No log        | 1.0   | 9    | 4.9618          |
+| No log        | 2.0   | 18   | 4.1071          |
+| No log        | 3.0   | 27   | 3.5438          |
+| No log        | 4.0   | 36   | 3.2115          |
+| No log        | 5.0   | 45   | 2.9524          |
+| No log        | 6.0   | 54   | 3.0645          |
+| No log        | 7.0   | 63   | 2.9351          |
+| No log        | 8.0   | 72   | 3.1037          |
+| No log        | 9.0   | 81   | 3.1132          |
+| No log        | 10.0  | 90   | 3.1357          |
 
 
 ### Framework versions