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: 0.4514
+- Loss: 0.6517
 - Accuracy: 0.85
 
 ## Model description
@@ -36,21 +36,23 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 9.141860152806508e-05
-- train_batch_size: 32
+- learning_rate: 4.2784821702055725e-05
+- train_batch_size: 8
 - eval_batch_size: 8
-- seed: 16
+- seed: 36
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 8    | 0.6526          | 0.7333   |
-| No log        | 2.0   | 16   | 0.5143          | 0.7833   |
-| No log        | 3.0   | 24   | 0.4514          | 0.85     |
+| No log        | 1.0   | 30   | 0.5825          | 0.7833   |
+| No log        | 2.0   | 60   | 0.4329          | 0.7833   |
+| No log        | 3.0   | 90   | 0.4763          | 0.7833   |
+| No log        | 4.0   | 120  | 0.6297          | 0.8333   |
+| No log        | 5.0   | 150  | 0.6517          | 0.85     |
 
 
 ### Framework versions