Update README.md

README.md

@@ -17,9 +17,6 @@ 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: 0.4542
-- Accuracy: 0.869
-- F1: 0.8626
 
 ## Model description
 
@@ -37,31 +34,8 @@ More information needed
 
 ### Training hyperparameters
 
-The following hyperparameters were used during training:
-- learning_rate: 2e-05
-- train_batch_size: 64
-- eval_batch_size: 64
-- seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- num_epochs: 10
-
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 2.2847        | 1.0   | 110  | 1.3868          | 0.681    | 0.6215 |
-| 1.1164        | 2.0   | 220  | 0.8190          | 0.804    | 0.7759 |
-| 0.7155        | 3.0   | 330  | 0.6261          | 0.833    | 0.8127 |
-| 0.5457        | 4.0   | 440  | 0.5272          | 0.859    | 0.8464 |
-| 0.4425        | 5.0   | 550  | 0.4858          | 0.868    | 0.8586 |
-| 0.3716        | 6.0   | 660  | 0.4751          | 0.868    | 0.8606 |
-| 0.3212        | 7.0   | 770  | 0.4630          | 0.865    | 0.8573 |
-| 0.2819        | 8.0   | 880  | 0.4587          | 0.874    | 0.8681 |
-| 0.2709        | 9.0   | 990  | 0.4538          | 0.874    | 0.8676 |
-| 0.2375        | 10.0  | 1100 | 0.4542          | 0.869    | 0.8626 |
-
-
 ### Framework versions
 
 - Transformers 4.27.1