End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: flax-community/indonesian-roberta-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: indoroberta-toxic-classifier
+  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. -->
+
+# indoroberta-toxic-classifier
+
+This model is a fine-tuned version of [flax-community/indonesian-roberta-base](https://huggingface.co/flax-community/indonesian-roberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4499
+- Accuracy: 0.8262
+- F1: 0.8185
+- Auc: 0.8065
+
+## 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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Auc    |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|
+| 0.4171        | 1.0   | 1281 | 0.3728          | 0.8313   | 0.8120 | 0.8239 |
+| 0.3413        | 2.0   | 2562 | 0.3847          | 0.8326   | 0.8183 | 0.8238 |
+| 0.2594        | 3.0   | 3843 | 0.4485          | 0.8273   | 0.8193 | 0.8114 |
+
+
+### Framework versions
+
+- Transformers 4.57.2
+- Pytorch 2.9.0+cu126
+- Datasets 4.0.0
+- Tokenizers 0.22.1