Model save

README.md

@@ -20,7 +20,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [indobenchmark/indobert-base-p1](https://huggingface.co/indobenchmark/indobert-base-p1) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3771
+- Loss: 0.2791
 - Accuracy: 0.9003
 - Precision: 0.9003
 - Recall: 0.9003
@@ -55,8 +55,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| No log        | 1.0   | 151  | 0.2981          | 0.8704   | 0.8704    | 0.8704 | 0.8704 |
-| No log        | 2.0   | 302  | 0.3771          | 0.9003   | 0.9003    | 0.9003 | 0.9003 |
+| No log        | 1.0   | 151  | 0.2659          | 0.9037   | 0.9037    | 0.9037 | 0.9037 |
+| No log        | 2.0   | 302  | 0.2791          | 0.9003   | 0.9003    | 0.9003 | 0.9003 |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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