End of training

README.md

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+---
+license: mit
+base_model: indobenchmark/indobert-base-p1
+tags:
+- generated_from_trainer
+model-index:
+- name: text-classification-p1
+  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. -->
+
+# text-classification-p1
+
+This model is a fine-tuned version of [indobenchmark/indobert-base-p1](https://huggingface.co/indobenchmark/indobert-base-p1) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2636
+- Balanced Accuracy: 0.7994
+
+## 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 | Balanced Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:-----------------:|
+| 0.7964        | 1.0   | 166  | 0.9239          | 0.7087            |
+| 0.6617        | 2.0   | 332  | 0.8031          | 0.7454            |
+| 0.3777        | 3.0   | 498  | 0.8557          | 0.7721            |
+| 0.227         | 4.0   | 664  | 0.9777          | 0.7939            |
+| 0.1234        | 5.0   | 830  | 1.0658          | 0.7928            |
+| 0.1506        | 6.0   | 996  | 1.1731          | 0.7920            |
+| 0.0913        | 7.0   | 1162 | 1.2047          | 0.7927            |
+| 0.132         | 8.0   | 1328 | 1.2619          | 0.7978            |
+| 0.0599        | 9.0   | 1494 | 1.2636          | 0.7994            |
+| 0.0259        | 10.0  | 1660 | 1.2661          | 0.7992            |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.2
+- Tokenizers 0.19.1

model.safetensors

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