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: 0.3666
+- Loss: 0.3739
 
 ## Model description
 
@@ -34,22 +34,20 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 8
+- eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 65   | 2.2102          |
-| No log        | 2.0   | 130  | 1.0473          |
-| No log        | 3.0   | 195  | 0.5312          |
-| No log        | 4.0   | 260  | 0.4023          |
-| No log        | 5.0   | 325  | 0.3666          |
+| No log        | 1.0   | 130  | 1.3746          |
+| No log        | 2.0   | 260  | 0.5127          |
+| No log        | 3.0   | 390  | 0.3739          |
 
 
 ### Framework versions