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: 0.1910
-- Accuracy: 0.9388
-- F1: 0.8235
-- Precision: 0.875
-- Recall: 0.7778
+- Loss: 0.1965
+- Accuracy: 0.8980
+- F1: 0.8580
+- Precision: 0.8214
+- Recall: 0.9375
 
 ## 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   | 25   | 0.3591          | 0.8571   | 0.3636 | 1.0       | 0.2222 |
-| No log        | 2.0   | 50   | 0.2682          | 0.8367   | 0.6667 | 0.5333    | 0.8889 |
-| No log        | 3.0   | 75   | 0.3667          | 0.8367   | 0.6667 | 0.5333    | 0.8889 |
-| No log        | 4.0   | 100  | 0.1910          | 0.9388   | 0.8235 | 0.875     | 0.7778 |
-| No log        | 5.0   | 125  | 0.3270          | 0.9184   | 0.7778 | 0.7778    | 0.7778 |
-| No log        | 6.0   | 150  | 0.3177          | 0.9184   | 0.8000 | 0.7273    | 0.8889 |
-| No log        | 7.0   | 175  | 0.3404          | 0.9184   | 0.7778 | 0.7778    | 0.7778 |
-| No log        | 8.0   | 200  | 0.3453          | 0.9184   | 0.7778 | 0.7778    | 0.7778 |
-| No log        | 9.0   | 225  | 0.3460          | 0.9184   | 0.7778 | 0.7778    | 0.7778 |
-| No log        | 10.0  | 250  | 0.3443          | 0.9184   | 0.7778 | 0.7778    | 0.7778 |
+| No log        | 2.0   | 50   | 0.4495          | 0.7755   | 0.7306 | 0.725     | 0.8625 |
+| No log        | 4.0   | 100  | 0.2591          | 0.8980   | 0.8580 | 0.8214    | 0.9375 |
 
 
 ### Framework versions

model.safetensors

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runs/Jan14_10-22-41_fcd99226172a/events.out.tfevents.1705227763.fcd99226172a.370.16

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training_args.bin

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