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: 0.1352
-- Accuracy: 0.9617
-- F1: 0.8817
-- Precision: 0.9111
-- Recall: 0.8542
+- Loss: 0.1665
+- Accuracy: 0.9720
+- F1: 0.9259
+- Precision: 0.9615
+- Recall: 0.8929
 
 ## 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   | 0.1352          | 0.9617   | 0.8817 | 0.9111    | 0.8542 |
-| No log        | 2.0   | 144  | 0.1764          | 0.9652   | 0.8864 | 0.975     | 0.8125 |
-| No log        | 3.0   | 216  | 0.2475          | 0.9443   | 0.8462 | 0.7857    | 0.9167 |
-| No log        | 4.0   | 288  | 0.1937          | 0.9686   | 0.8966 | 1.0       | 0.8125 |
-| No log        | 5.0   | 360  | 0.1979          | 0.9617   | 0.8791 | 0.9302    | 0.8333 |
-| No log        | 6.0   | 432  | 0.2129          | 0.9686   | 0.8989 | 0.9756    | 0.8333 |
-| 0.0649        | 7.0   | 504  | 0.2318          | 0.9582   | 0.8696 | 0.9091    | 0.8333 |
-| 0.0649        | 8.0   | 576  | 0.2367          | 0.9582   | 0.8696 | 0.9091    | 0.8333 |
-| 0.0649        | 9.0   | 648  | 0.2427          | 0.9652   | 0.8864 | 0.975     | 0.8125 |
-| 0.0649        | 10.0  | 720  | 0.2430          | 0.9652   | 0.8864 | 0.975     | 0.8125 |
+| No log        | 1.0   | 72   | 0.2060          | 0.9510   | 0.8727 | 0.8889    | 0.8571 |
+| No log        | 2.0   | 144  | 0.2337          | 0.9580   | 0.8846 | 0.9583    | 0.8214 |
+| No log        | 3.0   | 216  | 0.2416          | 0.9441   | 0.8571 | 0.8571    | 0.8571 |
+| No log        | 4.0   | 288  | 0.1905          | 0.9580   | 0.8846 | 0.9583    | 0.8214 |
+| No log        | 5.0   | 360  | 0.2029          | 0.9580   | 0.8929 | 0.8929    | 0.8929 |
+| No log        | 6.0   | 432  | 0.1665          | 0.9720   | 0.9259 | 0.9615    | 0.8929 |
+| 0.0706        | 7.0   | 504  | 0.1899          | 0.9580   | 0.8889 | 0.9231    | 0.8571 |
+| 0.0706        | 8.0   | 576  | 0.1990          | 0.9580   | 0.8889 | 0.9231    | 0.8571 |
+| 0.0706        | 9.0   | 648  | 0.2139          | 0.9580   | 0.8889 | 0.9231    | 0.8571 |
+| 0.0706        | 10.0  | 720  | 0.2171          | 0.9580   | 0.8889 | 0.9231    | 0.8571 |
 
 
 ### Framework versions

model.safetensors

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runs/Dec21_07-16-51_2d1910aff9ab/events.out.tfevents.1703143011.2d1910aff9ab.458.0

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runs/Dec21_07-16-51_2d1910aff9ab/events.out.tfevents.1703143333.2d1910aff9ab.458.1

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