update model card README.md

README.md

@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [jcblaise/roberta-tagalog-base](https://huggingface.co/jcblaise/roberta-tagalog-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2897
-- Accuracy: 0.8855
-- Precision: 0.8864
-- Recall: 0.9126
-- F1: 0.8993
+- Loss: 0.3019
+- Accuracy: 0.8898
+- Precision: 0.8523
+- Recall: 0.8944
+- F1: 0.8728
 
 ## Model description
 
@@ -54,9 +54,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| No log        | 1.0   | 174  | 0.3082          | 0.8790   | 0.8900    | 0.8946 | 0.8923 |
-| No log        | 2.0   | 348  | 0.2861          | 0.8848   | 0.8902    | 0.9062 | 0.8981 |
-| 0.2991        | 3.0   | 522  | 0.2897          | 0.8855   | 0.8864    | 0.9126 | 0.8993 |
+| No log        | 1.0   | 174  | 0.3006          | 0.8776   | 0.8620    | 0.8458 | 0.8538 |
+| No log        | 2.0   | 348  | 0.2899          | 0.8834   | 0.8801    | 0.8382 | 0.8586 |
+| 0.2993        | 3.0   | 522  | 0.2869          | 0.8873   | 0.8491    | 0.8918 | 0.8700 |
+| 0.2993        | 4.0   | 696  | 0.3019          | 0.8898   | 0.8523    | 0.8944 | 0.8728 |
 
 
 ### Framework versions