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: 0.0006
-- Accuracy: 0.9999
+- Loss: 0.0000
+- Accuracy: 1.0
 
 ## Model description
 
@@ -42,17 +42,14 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 2
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
-|:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 0.0011        | 1.0   | 4390  | 0.0067          | 0.9990   |
-| 0.0           | 2.0   | 8780  | 0.0006          | 0.9999   |
-| 0.0           | 3.0   | 13170 | 0.0005          | 0.9999   |
-| 0.0           | 4.0   | 17560 | 0.0006          | 0.9999   |
-| 0.0           | 5.0   | 21950 | 0.0006          | 0.9999   |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.0059        | 1.0   | 4390 | 0.0000          | 1.0      |
+| 0.0           | 2.0   | 8780 | 0.0000          | 1.0      |
 
 
 ### Framework versions