update model card README.md

README.md

@@ -18,11 +18,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model was trained from scratch on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1366
-- Precision: 0.6420
-- Recall: 0.6059
-- F1: 0.6234
-- Accuracy: 0.9497
+- Loss: 0.1348
+- Precision: 0.6462
+- Recall: 0.6109
+- F1: 0.6281
+- Accuracy: 0.9503
 
 ## Model description
 
@@ -41,7 +41,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 4e-05
+- learning_rate: 5e-05
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
@@ -53,9 +53,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.1553        | 1.0   | 5561  | 0.1453          | 0.6246    | 0.5670 | 0.5944 | 0.9468   |
-| 0.1436        | 2.0   | 11122 | 0.1385          | 0.6397    | 0.5917 | 0.6147 | 0.9489   |
-| 0.1397        | 3.0   | 16683 | 0.1366          | 0.6420    | 0.6059 | 0.6234 | 0.9497   |
+| 0.1535        | 1.0   | 5561  | 0.1441          | 0.6248    | 0.5802 | 0.6017 | 0.9471   |
+| 0.1415        | 2.0   | 11122 | 0.1367          | 0.6435    | 0.5975 | 0.6196 | 0.9495   |
+| 0.1368        | 3.0   | 16683 | 0.1348          | 0.6462    | 0.6109 | 0.6281 | 0.9503   |
 
 
 ### Framework versions