update model card README.md

README.md

@@ -15,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [qarib/bert-base-qarib_far_9920k](https://huggingface.co/qarib/bert-base-qarib_far_9920k) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0442
-- Macro F1: 0.8311
-- Accuracy: 0.8275
+- Loss: 0.5368
+- Macro F1: 0.8354
+- Accuracy: 0.8319
 
 ## Model description
 
@@ -44,17 +44,14 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 8
 - 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 | Macro F1 | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
-| No log        | 1.0   | 342  | 0.5528          | 0.7897   | 0.7851   |
-| 0.5472        | 2.0   | 684  | 0.6922          | 0.8200   | 0.8129   |
-| 0.2753        | 3.0   | 1026 | 0.9658          | 0.8113   | 0.8070   |
-| 0.2753        | 4.0   | 1368 | 0.9768          | 0.8349   | 0.8304   |
-| 0.1171        | 5.0   | 1710 | 1.0442          | 0.8311   | 0.8275   |
+| No log        | 1.0   | 341  | 0.5374          | 0.8166   | 0.8099   |
+| 0.5424        | 2.0   | 682  | 0.5368          | 0.8354   | 0.8319   |
 
 
 ### Framework versions