update model card README.md

README.md

@@ -17,9 +17,9 @@ 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: 0.0735
-- Accuracy: 0.9643
-- F1: 0.9643
+- Loss: 0.3668
+- Accuracy: 0.8936
+- F1: 0.8924
 
 ## Model description
 
@@ -35,7 +35,24 @@ More information needed
 
 ## Training procedure
 
+### Training hyperparameters
 
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 5
+- eval_batch_size: 5
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.6511        | 1.0   | 30   | 0.5878          | 0.7234   | 0.6985 |
+| 0.499         | 2.0   | 60   | 0.4520          | 0.8723   | 0.8683 |
+| 0.3169        | 3.0   | 90   | 0.3668          | 0.8936   | 0.8924 |
 
 
 ### Framework versions