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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6370
-- Accuracy: 0.6333
+- Loss: 0.5614
+- Accuracy: 0.8
 
 ## Model description
 
@@ -36,10 +36,10 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2.3580136914452267e-05
-- train_batch_size: 8
+- learning_rate: 1.3315037111141175e-05
+- train_batch_size: 4
 - eval_batch_size: 16
-- seed: 24
+- seed: 1
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 2
@@ -48,8 +48,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 30   | 0.6794          | 0.5333   |
-| No log        | 2.0   | 60   | 0.6370          | 0.6333   |
+| No log        | 1.0   | 60   | 0.5990          | 0.6833   |
+| No log        | 2.0   | 120  | 0.5614          | 0.8      |
 
 
 ### Framework versions