update model card README.md

README.md

@@ -16,11 +16,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert-base-indonesian-522M-finetuned-sentiment
 
-This model is a fine-tuned version of [cahya/bert-base-indonesian-522M](https://huggingface.co/cahya/bert-base-indonesian-522M) on the English & Indonesian sentiment dataset.
+This model is a fine-tuned version of [cahya/bert-base-indonesian-522M](https://huggingface.co/cahya/bert-base-indonesian-522M) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9483
-- Accuracy: 0.8531
-- F1: 0.8539
+- Loss: 0.5026
+- Accuracy: 0.8376
+- F1: 0.8363
 
 ## Model description
 
@@ -45,17 +45,14 @@ The following hyperparameters were used during training:
 - seed: 42
 - 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 | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.5014        | 1.0   | 1185 | 0.4148          | 0.8268   | 0.8210 |
-| 0.3209        | 2.0   | 2370 | 0.4529          | 0.8531   | 0.8515 |
-| 0.1974        | 3.0   | 3555 | 0.7101          | 0.8363   | 0.8330 |
-| 0.0958        | 4.0   | 4740 | 0.8550          | 0.8474   | 0.8451 |
-| 0.0438        | 5.0   | 5925 | 0.9483          | 0.8531   | 0.8539 |
+| 0.4893        | 1.0   | 1185 | 0.4359          | 0.8211   | 0.8274 |
+| 0.2842        | 2.0   | 2370 | 0.5026          | 0.8376   | 0.8363 |
 
 
 ### Framework versions