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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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datasets: |
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- tydiqa |
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model-index: |
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- name: indobert-finetune-tydiqa-transfer-indoqa |
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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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# indobert-finetune-tydiqa-transfer-indoqa |
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This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co./indolem/indobert-base-uncased) on the tydiqa dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.4999 |
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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: 1e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.919 | 1.0 | 362 | 2.9060 | |
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| 1.691 | 2.0 | 724 | 2.3301 | |
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| 1.2875 | 3.0 | 1086 | 2.2975 | |
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| 1.0796 | 4.0 | 1448 | 2.2565 | |
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| 0.9246 | 5.0 | 1810 | 2.1829 | |
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| 0.7948 | 6.0 | 2172 | 2.2602 | |
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| 0.7139 | 7.0 | 2534 | 2.3786 | |
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| 0.6345 | 8.0 | 2896 | 2.3917 | |
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| 0.5932 | 9.0 | 3258 | 2.4541 | |
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| 0.5576 | 10.0 | 3620 | 2.4999 | |
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### Framework versions |
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- Transformers 4.23.1 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.6.1 |
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- Tokenizers 0.13.1 |
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