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--- |
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tags: |
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- generated_from_trainer |
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datasets: |
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- squad_kor_v1 |
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model-index: |
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- name: koelectra-base-discriminator-finetuned-squad_kor_v1 |
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results: |
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- task: |
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name: Question Answering |
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type: question-answering |
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dataset: |
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name: squad_kor_v1 |
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type: squad_kor_v1 |
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args: squad_kor_v1 |
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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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# koelectra-base-discriminator-finetuned-squad_kor_v1 |
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This model is a fine-tuned version of [monologg/koelectra-base-discriminator](https://huggingface.co/monologg/koelectra-base-discriminator) on the squad_kor_v1 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5589 |
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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: 2e-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: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.5774 | 1.0 | 4025 | 0.5589 | |
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### Framework versions |
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- Transformers 4.10.2 |
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- Pytorch 1.9.0+cu102 |
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- Datasets 1.11.0 |
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- Tokenizers 0.10.3 |
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