End of training

README.md

@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [indobenchmark/indobert-base-p2](https://huggingface.co/indobenchmark/indobert-base-p2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4762
-- Accuracy: 0.8223
-- F1: 0.8056
-- Precision: 0.8063
-- Recall: 0.8073
+- Loss: 0.6475
+- Accuracy: 0.8392
+- F1: 0.8409
+- Precision: 0.8444
+- Recall: 0.8431
 
 ## Model description
 
@@ -55,16 +55,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| No log        | 1.0   | 72   | 0.5860          | 0.8049   | 0.7426 | 0.8079    | 0.7117 |
-| No log        | 2.0   | 144  | 0.4944          | 0.8223   | 0.7657 | 0.7969    | 0.7454 |
-| No log        | 3.0   | 216  | 0.4762          | 0.8223   | 0.8056 | 0.8063    | 0.8073 |
-| No log        | 4.0   | 288  | 0.5563          | 0.8328   | 0.7929 | 0.8027    | 0.7854 |
-| No log        | 5.0   | 360  | 0.6950          | 0.8293   | 0.7725 | 0.7929    | 0.7588 |
-| No log        | 6.0   | 432  | 0.7652          | 0.8362   | 0.7911 | 0.8048    | 0.7816 |
-| 0.2785        | 7.0   | 504  | 0.7793          | 0.8293   | 0.7963 | 0.8035    | 0.7911 |
-| 0.2785        | 8.0   | 576  | 0.7984          | 0.8293   | 0.7863 | 0.8150    | 0.7707 |
-| 0.2785        | 9.0   | 648  | 0.7970          | 0.8328   | 0.7885 | 0.8036    | 0.7808 |
-| 0.2785        | 10.0  | 720  | 0.7970          | 0.8362   | 0.7928 | 0.8109    | 0.7803 |
+| No log        | 1.0   | 72   | 0.6475          | 0.8392   | 0.8409 | 0.8444    | 0.8431 |
+| No log        | 2.0   | 144  | 0.8639          | 0.8252   | 0.8156 | 0.8261    | 0.8177 |
+| No log        | 3.0   | 216  | 0.9170          | 0.7832   | 0.7800 | 0.8112    | 0.7676 |
+| No log        | 4.0   | 288  | 0.8206          | 0.8322   | 0.8359 | 0.8346    | 0.8405 |
+| No log        | 5.0   | 360  | 0.8318          | 0.8392   | 0.8417 | 0.8434    | 0.8404 |
+| No log        | 6.0   | 432  | 0.9578          | 0.8252   | 0.8255 | 0.8243    | 0.8325 |
+| 0.0684        | 7.0   | 504  | 0.9713          | 0.8112   | 0.8027 | 0.8143    | 0.7967 |
+| 0.0684        | 8.0   | 576  | 0.9850          | 0.8252   | 0.8137 | 0.8236    | 0.8089 |
+| 0.0684        | 9.0   | 648  | 0.9955          | 0.8392   | 0.8258 | 0.8347    | 0.8203 |
+| 0.0684        | 10.0  | 720  | 0.9964          | 0.8392   | 0.8258 | 0.8347    | 0.8203 |
 
 
 ### Framework versions

model.safetensors

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runs/Dec21_06-40-05_4584bcdeb49a/events.out.tfevents.1703140807.4584bcdeb49a.999.2

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runs/Dec21_06-40-05_4584bcdeb49a/events.out.tfevents.1703141086.4584bcdeb49a.999.3

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