update model card README.md

README.md

@@ -17,20 +17,17 @@ should probably proofread and complete it, then remove this comment. -->
 
 # FakevsRealNews
 
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on "Fake and real news dataset" dataset.
-
-Link to Dataset : https://www.kaggle.com/datasets/clmentbisaillon/fake-and-real-news-dataset
-
+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: 0.0006
-- Accuracy: 0.6309
-- F1: 0.7677
-- Precision: 0.6233
-- Recall: 0.9992
+- Loss: 0.0080
+- Accuracy: 0.9995
+- F1: 0.9995
+- Precision: 0.9995
+- Recall: 0.9995
 
 ## Model description
 
-Finetuned Distilbert
+More information needed
 
 ## Intended uses & limitations
 
@@ -38,7 +35,7 @@ More information needed
 
 ## Training and evaluation data
 
-The data was split into train-dev-test sets on a ratio of 80:10:10
+More information needed
 
 ## Training procedure
 
@@ -58,11 +55,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 0.0176        | 1.0   | 1956 | 0.0009          | 0.9616   | 0.9695 | 0.9409    | 1.0    |
-| 0.0014        | 2.0   | 3912 | 0.0015          | 0.9864   | 0.9890 | 0.9783    | 1.0    |
-| 0.0011        | 3.0   | 5868 | 0.0008          | 0.7611   | 0.8363 | 0.7188    | 0.9996 |
-| 0.0008        | 4.0   | 7824 | 0.0008          | 0.7872   | 0.8514 | 0.7418    | 0.9992 |
-| 0.0006        | 5.0   | 9780 | 0.0006          | 0.6309   | 0.7677 | 0.6233    | 0.9992 |
+| 0.0           | 1.0   | 1956 | 0.0064          | 0.9992   | 0.9992 | 0.9992    | 0.9992 |
+| 0.0           | 2.0   | 3912 | 0.0076          | 0.9992   | 0.9992 | 0.9992    | 0.9992 |
+| 0.0           | 3.0   | 5868 | 0.0078          | 0.9992   | 0.9992 | 0.9992    | 0.9992 |
+| 0.0           | 4.0   | 7824 | 0.0080          | 0.9995   | 0.9995 | 0.9995    | 0.9995 |
+| 0.0           | 5.0   | 9780 | 0.0080          | 0.9995   | 0.9995 | 0.9995    | 0.9995 |
 
 
 ### Framework versions