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: 0.8532
-- Accuracy: 0.9046
+- Loss: 0.3124
+- Accuracy: 0.9120
 
 ## Model description
 
@@ -36,23 +36,20 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
-- train_batch_size: 32
+- learning_rate: 4.403244198762251e-05
+- train_batch_size: 8
 - eval_batch_size: 32
-- seed: 42
+- seed: 34
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 2
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.0148        | 1.0   | 620  | 0.7765          | 0.8999   |
-| 0.0147        | 2.0   | 1240 | 0.7833          | 0.9020   |
-| 0.0161        | 3.0   | 1860 | 0.8049          | 0.9038   |
-| 0.0119        | 4.0   | 2480 | 0.8536          | 0.9026   |
-| 0.0046        | 5.0   | 3100 | 0.8532          | 0.9046   |
+| 0.2952        | 1.0   | 2479 | 0.2984          | 0.9088   |
+| 0.232         | 2.0   | 4958 | 0.3124          | 0.9120   |
 
 
 ### Framework versions