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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-v2 |
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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-v2 |
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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: 0.1121 |
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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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| 0.185 | 1.0 | 299 | 0.1121 | |
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| 0.0966 | 2.0 | 598 | 0.1274 | |
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| 0.0711 | 3.0 | 897 | 0.1431 | |
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| 0.054 | 4.0 | 1196 | 0.1676 | |
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| 0.047 | 5.0 | 1495 | 0.1508 | |
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| 0.0427 | 6.0 | 1794 | 0.1570 | |
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| 0.0343 | 7.0 | 2093 | 0.1229 | |
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| 0.029 | 8.0 | 2392 | 0.1430 | |
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| 0.0316 | 9.0 | 2691 | 0.1748 | |
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| 0.0254 | 10.0 | 2990 | 0.1562 | |
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| 0.0241 | 11.0 | 3289 | 0.1197 | |
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| 0.0222 | 12.0 | 3588 | 0.1190 | |
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| 0.0244 | 13.0 | 3887 | 0.1471 | |
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| 0.0222 | 14.0 | 4186 | 0.1382 | |
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| 0.02 | 15.0 | 4485 | 0.1466 | |
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| 0.0214 | 16.0 | 4784 | 0.1744 | |
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| 0.0186 | 17.0 | 5083 | 0.1457 | |
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| 0.0196 | 18.0 | 5382 | 0.1515 | |
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| 0.0182 | 19.0 | 5681 | 0.1456 | |
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| 0.0189 | 20.0 | 5980 | 0.1450 | |
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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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