update model card README.md

README.md

@@ -20,11 +20,11 @@ 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: 0.0965
-- Precision: 0.7619
-- Recall: 0.7887
-- F1: 0.7751
-- Accuracy: 0.9732
+- Loss: 0.1048
+- Precision: 0.7375
+- Recall: 0.8194
+- F1: 0.7763
+- Accuracy: 0.9650
 
 ## Model description
 
@@ -55,10 +55,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 362  | 0.0819          | 0.7044    | 0.7887 | 0.7442 | 0.9692   |
-| 0.1181        | 2.0   | 724  | 0.0895          | 0.7347    | 0.7606 | 0.7474 | 0.9682   |
-| 0.0381        | 3.0   | 1086 | 0.0919          | 0.7397    | 0.7606 | 0.75   | 0.9703   |
-| 0.0381        | 4.0   | 1448 | 0.0965          | 0.7619    | 0.7887 | 0.7751 | 0.9732   |
+| No log        | 1.0   | 232  | 0.1149          | 0.6062    | 0.8125 | 0.6944 | 0.9500   |
+| No log        | 2.0   | 464  | 0.0942          | 0.7267    | 0.8125 | 0.7672 | 0.9630   |
+| 0.1371        | 3.0   | 696  | 0.0981          | 0.7152    | 0.8194 | 0.7638 | 0.9638   |
+| 0.1371        | 4.0   | 928  | 0.1048          | 0.7375    | 0.8194 | 0.7763 | 0.9650   |
 
 
 ### Framework versions