End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: w11wo/indonesian-roberta-base-sentiment-classifier
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: indonesian-roberta-hate-speech-sentiment-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. -->
+
+# indonesian-roberta-hate-speech-sentiment-classifier
+
+This model is a fine-tuned version of [w11wo/indonesian-roberta-base-sentiment-classifier](https://huggingface.co/w11wo/indonesian-roberta-base-sentiment-classifier) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3942
+- Accuracy: 0.834
+- Auc: 0.912
+
+## 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: 1e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Auc   |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:-----:|
+| 0.3111        | 1.0   | 301  | 0.5037          | 0.749    | 0.842 |
+| 0.3957        | 2.0   | 602  | 0.4878          | 0.781    | 0.891 |
+| 0.3207        | 3.0   | 903  | 0.4160          | 0.817    | 0.908 |
+| 0.5843        | 4.0   | 1204 | 0.4408          | 0.835    | 0.914 |
+| 0.3057        | 5.0   | 1505 | 0.4231          | 0.839    | 0.915 |
+| 0.0703        | 6.0   | 1806 | 0.5463          | 0.833    | 0.92  |
+| 0.0206        | 7.0   | 2107 | 0.5821          | 0.832    | 0.918 |
+| 0.0475        | 8.0   | 2408 | 0.5948          | 0.839    | 0.918 |
+| 0.1729        | 9.0   | 2709 | 0.6498          | 0.834    | 0.919 |
+| 0.0182        | 10.0  | 3010 | 0.6425          | 0.842    | 0.919 |
+
+
+### Framework versions
+
+- Transformers 4.51.3
+- Pytorch 2.6.0+cu124
+- Datasets 3.6.0
+- Tokenizers 0.21.1

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special_tokens_map.json

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+}