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: 0.3165
-- Accuracy: 0.8491
-- F1: 0.8947
-- Precision: 0.8947
-- Recall: 0.8947
+- Loss: 0.4758
+- Accuracy: 0.8302
+- F1: 0.7948
+- Precision: 0.7897
+- Recall: 0.8009
 
 ## Model description
 
@@ -49,22 +49,14 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 10
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| No log        | 1.0   | 27   | 0.3612          | 0.8302   | 0.8696 | 0.9677    | 0.7895 |
-| No log        | 2.0   | 54   | 0.3165          | 0.8491   | 0.8947 | 0.8947    | 0.8947 |
-| No log        | 3.0   | 81   | 0.3423          | 0.8679   | 0.9091 | 0.8974    | 0.9211 |
-| No log        | 4.0   | 108  | 0.4692          | 0.8302   | 0.88   | 0.8919    | 0.8684 |
-| No log        | 5.0   | 135  | 0.5180          | 0.8868   | 0.9189 | 0.9444    | 0.8947 |
-| No log        | 6.0   | 162  | 0.5619          | 0.8679   | 0.9041 | 0.9429    | 0.8684 |
-| No log        | 7.0   | 189  | 0.5528          | 0.8868   | 0.9189 | 0.9444    | 0.8947 |
-| No log        | 8.0   | 216  | 0.6213          | 0.8679   | 0.9041 | 0.9429    | 0.8684 |
-| No log        | 9.0   | 243  | 0.6155          | 0.8679   | 0.9041 | 0.9429    | 0.8684 |
-| No log        | 10.0  | 270  | 0.6123          | 0.8679   | 0.9041 | 0.9429    | 0.8684 |
+| No log        | 1.85  | 50   | 0.3913          | 0.7925   | 0.7769 | 0.7744    | 0.8351 |
+| No log        | 3.7   | 100  | 0.4531          | 0.8302   | 0.8020 | 0.7905    | 0.8211 |
 
 
 ### Framework versions

model.safetensors

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runs/Jan14_10-18-24_fcd99226172a/events.out.tfevents.1705227505.fcd99226172a.370.14

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training_args.bin

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