update model card README.md

README.md

@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9419
-- F1: 0.4407
+- Loss: 0.8972
+- F1: 0.4508
 
 ## Model description
 
@@ -50,14 +50,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 2.0868        | 1.18  | 100  | 1.8746          | 0.1134 |
-| 1.7943        | 2.35  | 200  | 1.6306          | 0.1988 |
-| 1.6172        | 3.53  | 300  | 1.5104          | 0.2631 |
-| 1.441         | 4.71  | 400  | 1.3189          | 0.3199 |
-| 1.3075        | 5.88  | 500  | 1.1714          | 0.3731 |
-| 1.158         | 7.06  | 600  | 1.0743          | 0.4055 |
-| 1.0584        | 8.24  | 700  | 0.9954          | 0.4190 |
-| 0.9701        | 9.41  | 800  | 0.9419          | 0.4407 |
+| 2.0897        | 1.18  | 100  | 1.8602          | 0.1447 |
+| 1.766         | 2.35  | 200  | 1.5934          | 0.2428 |
+| 1.5647        | 3.53  | 300  | 1.4075          | 0.2847 |
+| 1.3879        | 4.71  | 400  | 1.2719          | 0.3176 |
+| 1.2584        | 5.88  | 500  | 1.1372          | 0.3672 |
+| 1.1227        | 7.06  | 600  | 1.0391          | 0.4094 |
+| 1.018         | 8.24  | 700  | 0.9516          | 0.4273 |
+| 0.9416        | 9.41  | 800  | 0.8972          | 0.4508 |
 
 
 ### Framework versions