update model card README.md

README.md

@@ -16,7 +16,7 @@ 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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5457
+- Loss: 0.5198
 - Accuracy: 0.8167
 
 ## Model description
@@ -36,22 +36,20 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1.4354778271056715e-05
+- learning_rate: 2.9614063140865808e-05
 - train_batch_size: 4
 - eval_batch_size: 16
-- seed: 7
+- seed: 14
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 4
+- num_epochs: 2
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 60   | 0.6582          | 0.5667   |
-| No log        | 2.0   | 120  | 0.5764          | 0.8      |
-| No log        | 3.0   | 180  | 0.5458          | 0.8167   |
-| No log        | 4.0   | 240  | 0.5457          | 0.8167   |
+| No log        | 1.0   | 60   | 0.5931          | 0.75     |
+| No log        | 2.0   | 120  | 0.5198          | 0.8167   |
 
 
 ### Framework versions