End of training

README.md

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+---
+license: mit
+base_model: indobenchmark/indobert-base-p2
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: keamanan_model
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# keamanan_model
+
+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
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### 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 |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.15.0
+- Tokenizers 0.15.0

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