update model card README.md

README.md

@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3786
-- Accuracy: 0.8322
-- F1: 0.7306
-- Precision: 0.7399
-- Recall: 0.7215
+- Loss: 0.2973
+- Accuracy: 0.8912
+- F1: 0.8367
+- Precision: 0.8495
+- Recall: 0.8243
 
 ## Model description
 
@@ -53,11 +53,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 0.6327        | 1.0   | 50   | 0.5976          | 0.7034   | 0.1331 | 0.8506    | 0.0722 |
-| 0.5127        | 2.0   | 100  | 0.4569          | 0.7883   | 0.6009 | 0.7411    | 0.5054 |
-| 0.42          | 3.0   | 150  | 0.3786          | 0.8322   | 0.7306 | 0.7399    | 0.7215 |
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.2686        | 1.0   | 10000 | 0.2667          | 0.8894   | 0.8283 | 0.8725    | 0.7884 |
+| 0.2205        | 2.0   | 20000 | 0.2704          | 0.8925   | 0.8372 | 0.8579    | 0.8175 |
+| 0.1476        | 3.0   | 30000 | 0.2973          | 0.8912   | 0.8367 | 0.8495    | 0.8243 |
 
 
 ### Framework versions