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 [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5252
-- F1: 0.8001
+- Loss: 0.5290
+- F1: 0.8211
 
 ## Model description
 
@@ -49,18 +49,18 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 1.8319        | 1.0   | 39   | 1.6539          | 0.4812 |
-| 1.3017        | 2.0   | 78   | 0.9994          | 0.7275 |
-| 0.7721        | 3.0   | 117  | 0.7172          | 0.7593 |
-| 0.52          | 4.0   | 156  | 0.5922          | 0.7714 |
-| 0.4092        | 5.0   | 195  | 0.5660          | 0.7714 |
-| 0.2953        | 6.0   | 234  | 0.5250          | 0.8111 |
-| 0.2544        | 7.0   | 273  | 0.5247          | 0.8001 |
-| 0.2206        | 8.0   | 312  | 0.5252          | 0.8001 |
+| 1.813         | 1.0   | 40   | 1.5304          | 0.5227 |
+| 1.2312        | 2.0   | 80   | 0.9138          | 0.7439 |
+| 0.7428        | 3.0   | 120  | 0.6869          | 0.7518 |
+| 0.5055        | 4.0   | 160  | 0.5766          | 0.8050 |
+| 0.3581        | 5.0   | 200  | 0.5454          | 0.8052 |
+| 0.2664        | 6.0   | 240  | 0.5208          | 0.8200 |
+| 0.2145        | 7.0   | 280  | 0.5218          | 0.8241 |
+| 0.1853        | 8.0   | 320  | 0.5290          | 0.8211 |
 
 
 ### Framework versions
 
-- Transformers 4.21.3
+- Transformers 4.22.1
 - Pytorch 1.12.1+cu113
 - Tokenizers 0.12.1