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distilbert-base-indonesian-finetuned-PRDECT-ID-cq
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README.md
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---
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license: mit
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tags:
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- generated_from_trainer
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base_model: cahya/distilbert-base-indonesian
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model-index:
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- name:
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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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#
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This model is a fine-tuned version of [cahya/distilbert-base-indonesian](https://huggingface.co/cahya/distilbert-base-indonesian) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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| 0.0009 | 5.0 |
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| 0.0005 | 7.0 |
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### Framework versions
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---
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license: mit
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base_model: cahya/distilbert-base-indonesian
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tags:
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- generated_from_trainer
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model-index:
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- name: distilbert-base-indonesian-finetuned-PRDECT-ID
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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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# distilbert-base-indonesian-finetuned-PRDECT-ID
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This model is a fine-tuned version of [cahya/distilbert-base-indonesian](https://huggingface.co/cahya/distilbert-base-indonesian) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0002
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.9507 | 1.0 | 41 | 0.8377 |
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| 0.0765 | 2.0 | 82 | 0.0212 |
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| 0.0025 | 3.0 | 123 | 0.0020 |
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| 0.0013 | 4.0 | 164 | 0.0013 |
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| 0.0009 | 5.0 | 205 | 0.0009 |
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| 0.0007 | 6.0 | 246 | 0.0007 |
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| 0.0005 | 7.0 | 287 | 0.0006 |
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| 0.0004 | 8.0 | 328 | 0.0005 |
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| 0.0003 | 9.0 | 369 | 0.0004 |
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| 0.0002 | 10.0 | 410 | 0.0003 |
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| 0.0002 | 11.0 | 451 | 0.0003 |
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| 0.0002 | 12.0 | 492 | 0.0003 |
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| 0.0002 | 13.0 | 533 | 0.0002 |
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| 0.0001 | 14.0 | 574 | 0.0002 |
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| 0.0001 | 15.0 | 615 | 0.0002 |
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| 0.0001 | 16.0 | 656 | 0.0002 |
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| 0.0001 | 17.0 | 697 | 0.0002 |
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| 0.0001 | 18.0 | 738 | 0.0002 |
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| 0.0001 | 19.0 | 779 | 0.0002 |
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| 0.0001 | 20.0 | 820 | 0.0002 |
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### Framework versions
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model.safetensors
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