Model save

README.md

@@ -18,10 +18,10 @@ 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: 0.5748
-- Accuracy: 0.8363
-- F1 Macro: 0.8348
-- F1 Weighted: 0.8348
+- Loss: 0.2439
+- Accuracy: 0.9170
+- F1 Macro: 0.9158
+- F1 Weighted: 0.9158
 
 ## Model description
 
@@ -56,12 +56,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | F1 Weighted |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------:|
-| 1.0146        | 1.0   | 91   | 0.6676          | 0.7170   | 0.7080   | 0.7081      |
-| 0.4844        | 2.0   | 182  | 0.4582          | 0.8183   | 0.8170   | 0.8171      |
-| 0.2458        | 3.0   | 273  | 0.5387          | 0.8135   | 0.8104   | 0.8104      |
-| 0.1371        | 4.0   | 364  | 0.5682          | 0.8408   | 0.8375   | 0.8375      |
-| 0.0631        | 5.0   | 455  | 0.6810          | 0.8151   | 0.8145   | 0.8145      |
-| 0.0354        | 6.0   | 546  | 0.6944          | 0.8312   | 0.8304   | 0.8305      |
+| 1.0071        | 1.0   | 91   | 0.6873          | 0.7026   | 0.6888   | 0.6889      |
+| 0.4836        | 2.0   | 182  | 0.4598          | 0.8312   | 0.8287   | 0.8287      |
+| 0.2478        | 3.0   | 273  | 0.5133          | 0.8167   | 0.8118   | 0.8118      |
+| 0.1319        | 4.0   | 364  | 0.5662          | 0.8248   | 0.8200   | 0.8201      |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:fd97a7cd8b85dcf99f078e3345c1560866a57d81c2b58f878aa9bc3d238eb7eb
 size 497798148