End of training

README.md

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+---
+license: mit
+base_model: indolem/indobert-base-uncased
+tags:
+- generated_from_trainer
+model-index:
+- name: text-classification-indobert
+  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-indobert
+
+This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9180
+- Balanced Accuracy: 0.7377
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Balanced Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:-----------------:|
+| 1.4823        | 1.0   | 332  | 1.3360          | 0.4541            |
+| 0.96          | 2.0   | 664  | 0.9846          | 0.6874            |
+| 0.7089        | 3.0   | 996  | 0.9180          | 0.7377            |
+| 0.4465        | 4.0   | 1328 | 0.9194          | 0.7525            |
+| 0.3857        | 5.0   | 1660 | 0.9345          | 0.7588            |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.2
+- Tokenizers 0.19.1

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