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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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base_model: indolem/indobert-base-uncased |
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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: 2.3210 |
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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: 24 |
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- eval_batch_size: 24 |
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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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| 3.162 | 1.0 | 241 | 3.2961 | |
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| 1.9671 | 2.0 | 482 | 2.4509 | |
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| 1.457 | 3.0 | 723 | 2.3005 | |
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| 1.2349 | 4.0 | 964 | 2.2628 | |
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| 1.0681 | 5.0 | 1205 | 2.1436 | |
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| 0.9338 | 6.0 | 1446 | 2.1978 | |
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| 0.8523 | 7.0 | 1687 | 2.2780 | |
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| 0.7909 | 8.0 | 1928 | 2.2481 | |
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| 0.725 | 9.0 | 2169 | 2.2912 | |
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| 0.6977 | 10.0 | 2410 | 2.3210 | |
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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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