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-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0080
-- Accuracy: 0.9995
-- F1: 0.9995
-- Precision: 0.9995
-- Recall: 0.9995
+- Loss: 0.0000
+- Accuracy: 1.0
+- F1: 1.0
+- Precision: 1.0
+- Recall: 1.0
 
 ## Model description
 
@@ -49,17 +49,15 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- num_epochs: 5
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 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 |
+| 0.0503        | 1.0   | 1956 | 0.0025          | 0.9995   | 0.9995 | 0.9995    | 0.9995 |
+| 0.001         | 2.0   | 3912 | 0.0001          | 1.0      | 1.0    | 1.0       | 1.0    |
+| 0.0007        | 3.0   | 5868 | 0.0000          | 1.0      | 1.0    | 1.0       | 1.0    |
 
 
 ### Framework versions