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: performa_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. -->
+
+# performa_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: 0.4147
+- Accuracy: 0.8230
+- F1: 0.7904
+- Precision: 0.8488
+- Recall: 0.7395
+
+## 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   | 370  | 0.4182          | 0.8297   | 0.8108 | 0.8133    | 0.8084 |
+| 0.4155        | 2.0   | 740  | 0.4147          | 0.8230   | 0.7904 | 0.8488    | 0.7395 |
+| 0.304         | 3.0   | 1110 | 0.4912          | 0.8162   | 0.7952 | 0.8       | 0.7904 |
+| 0.304         | 4.0   | 1480 | 0.8223          | 0.8014   | 0.7879 | 0.7604    | 0.8174 |
+| 0.1698        | 5.0   | 1850 | 0.8766          | 0.8108   | 0.7935 | 0.7820    | 0.8054 |
+| 0.0868        | 6.0   | 2220 | 1.2547          | 0.7919   | 0.7775 | 0.7514    | 0.8054 |
+| 0.0357        | 7.0   | 2590 | 1.2560          | 0.7946   | 0.7847 | 0.7446    | 0.8293 |
+| 0.0357        | 8.0   | 2960 | 1.3313          | 0.8095   | 0.7886 | 0.7898    | 0.7874 |
+| 0.0159        | 9.0   | 3330 | 1.3923          | 0.8122   | 0.7965 | 0.7794    | 0.8144 |
+| 0.0066        | 10.0  | 3700 | 1.4022          | 0.8149   | 0.8006 | 0.7790    | 0.8234 |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.15.0
+- Tokenizers 0.15.0

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runs/Jan13_07-02-34_3549ef653015/events.out.tfevents.1705130505.3549ef653015.1140.3

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