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--- |
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license: mit |
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base_model: cahya/roberta-base-indonesian-522M |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: roberta-base-indonesian-522M-with-sa-william-dataset |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# roberta-base-indonesian-522M-with-sa-william-dataset |
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This model is a fine-tuned version of [cahya/roberta-base-indonesian-522M](https://huggingface.co/cahya/roberta-base-indonesian-522M) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0934 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.2392 | 1.0 | 65 | 0.1149 | |
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| 0.1242 | 2.0 | 130 | 0.1343 | |
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| 0.0749 | 3.0 | 195 | 0.0934 | |
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| 0.0522 | 4.0 | 260 | 0.2300 | |
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| 0.0333 | 5.0 | 325 | 0.2182 | |
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| 0.027 | 6.0 | 390 | 0.1472 | |
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| 0.0115 | 7.0 | 455 | 0.1757 | |
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| 0.0162 | 8.0 | 520 | 0.1539 | |
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| 0.0219 | 9.0 | 585 | 0.1905 | |
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| 0.0084 | 10.0 | 650 | 0.1709 | |
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| 0.0014 | 11.0 | 715 | 0.2220 | |
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| 0.0004 | 12.0 | 780 | 0.2575 | |
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| 0.0002 | 13.0 | 845 | 0.2390 | |
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| 0.0 | 14.0 | 910 | 0.2316 | |
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| 0.0 | 15.0 | 975 | 0.2333 | |
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| 0.0 | 16.0 | 1040 | 0.2346 | |
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| 0.0 | 17.0 | 1105 | 0.2357 | |
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| 0.0 | 18.0 | 1170 | 0.2366 | |
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| 0.0 | 19.0 | 1235 | 0.2371 | |
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| 0.0 | 20.0 | 1300 | 0.2372 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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