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
+model-index:
+- name: indonesian-roberta-hate-speech
+  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
+
+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: 0.4879
+- Accuracy: 0.799
+- Auc: 0.868
+
+## 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: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- 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   |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:-----:|
+| 0.1801        | 1.0   | 1202  | 0.5013          | 0.79     | 0.863 |
+| 0.0857        | 2.0   | 2404  | 0.5459          | 0.803    | 0.893 |
+| 0.4506        | 3.0   | 3606  | 0.5131          | 0.803    | 0.838 |
+| 0.3451        | 4.0   | 4808  | 0.5468          | 0.806    | 0.893 |
+| 0.8638        | 5.0   | 6010  | 0.5594          | 0.822    | 0.896 |
+| 0.0493        | 6.0   | 7212  | 0.5608          | 0.825    | 0.886 |
+| 0.0186        | 7.0   | 8414  | 0.6098          | 0.845    | 0.882 |
+| 0.0369        | 8.0   | 9616  | 0.5878          | 0.827    | 0.856 |
+| 0.3671        | 9.0   | 10818 | 0.5599          | 0.835    | 0.91  |
+| 0.1182        | 10.0  | 12020 | 0.6093          | 0.844    | 0.901 |
+
+
+### 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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+{
+  "bos_token": {
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+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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tokenizer_config.json

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+  "errors": "replace",
+  "extra_special_tokens": {},
+  "mask_token": "<mask>",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "tokenizer_class": "RobertaTokenizer",
+  "trim_offsets": true,
+  "unk_token": "<unk>"
+}