Model save

README.md

@@ -1,6 +1,4 @@
 ---
-language:
-- id
 license: mit
 base_model: indolem/indobert-base-uncased
 tags:
@@ -22,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3222
-- Accuracy: 0.8496
-- Precision: 0.8193
-- Recall: 0.8161
-- F1: 0.8177
+- Loss: 0.7536
+- Accuracy: 0.9048
+- Precision: 0.8798
+- Recall: 0.8976
+- F1: 0.8878
 
 ## Model description
 
@@ -51,13 +49,32 @@ The following hyperparameters were used during training:
 - seed: 1
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1.0
+- num_epochs: 20.0
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| 0.3913        | 1.0   | 122  | 0.3222          | 0.8496   | 0.8193    | 0.8161 | 0.8177 |
+| 0.4355        | 1.0   | 122  | 0.3243          | 0.8697   | 0.8538    | 0.8228 | 0.8359 |
+| 0.2295        | 2.0   | 244  | 0.3047          | 0.8897   | 0.8625    | 0.8795 | 0.8701 |
+| 0.1337        | 3.0   | 366  | 0.3747          | 0.8997   | 0.8778    | 0.8816 | 0.8797 |
+| 0.1038        | 4.0   | 488  | 0.4188          | 0.8822   | 0.8518    | 0.8867 | 0.8651 |
+| 0.072         | 5.0   | 610  | 0.6271          | 0.8872   | 0.8672    | 0.8577 | 0.8622 |
+| 0.0462        | 6.0   | 732  | 0.6129          | 0.8897   | 0.8632    | 0.8770 | 0.8695 |
+| 0.0459        | 7.0   | 854  | 0.5891          | 0.8897   | 0.8710    | 0.8595 | 0.8649 |
+| 0.0391        | 8.0   | 976  | 0.5973          | 0.8872   | 0.8587    | 0.8802 | 0.8681 |
+| 0.0307        | 9.0   | 1098 | 0.7087          | 0.8747   | 0.8441    | 0.8863 | 0.8585 |
+| 0.0199        | 10.0  | 1220 | 0.7264          | 0.8972   | 0.8869    | 0.8598 | 0.8717 |
+| 0.0105        | 11.0  | 1342 | 0.6738          | 0.8972   | 0.8767    | 0.8748 | 0.8757 |
+| 0.0131        | 12.0  | 1464 | 0.7488          | 0.8997   | 0.8733    | 0.8941 | 0.8825 |
+| 0.0102        | 13.0  | 1586 | 0.7155          | 0.8972   | 0.8708    | 0.8898 | 0.8793 |
+| 0.0061        | 14.0  | 1708 | 0.7196          | 0.9073   | 0.8851    | 0.8944 | 0.8895 |
+| 0.0138        | 15.0  | 1830 | 0.7618          | 0.9023   | 0.8773    | 0.8933 | 0.8846 |
+| 0.0075        | 16.0  | 1952 | 0.7253          | 0.9048   | 0.8806    | 0.8951 | 0.8873 |
+| 0.0063        | 17.0  | 2074 | 0.7560          | 0.9023   | 0.8782    | 0.8908 | 0.8841 |
+| 0.0066        | 18.0  | 2196 | 0.7483          | 0.9023   | 0.8758    | 0.8983 | 0.8857 |
+| 0.0023        | 19.0  | 2318 | 0.7535          | 0.9023   | 0.8773    | 0.8933 | 0.8846 |
+| 0.0021        | 20.0  | 2440 | 0.7536          | 0.9048   | 0.8798    | 0.8976 | 0.8878 |
 
 
 ### Framework versions