update model card README.md

README.md

@@ -14,7 +14,7 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.1098
+- Loss: 1.7362
 
 ## Model description
 
@@ -33,9 +33,9 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 3e-05
-- train_batch_size: 32
-- eval_batch_size: 32
+- learning_rate: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -45,9 +45,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 277  | 1.8349          |
-| 0.6826        | 2.0   | 554  | 1.8949          |
-| 0.6826        | 3.0   | 831  | 2.1098          |
+| 2.7793        | 1.0   | 554  | 1.9337          |
+| 1.4469        | 2.0   | 1108 | 1.7193          |
+| 1.1585        | 3.0   | 1662 | 1.7362          |
 
 
 ### Framework versions