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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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- custom_squad_v2 |
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model-index: |
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- name: tunelectra-pure3-3424935 |
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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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# tunelectra-pure3-3424935 |
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This model is a fine-tuned version of [tunib/electra-ko-base](https://huggingface.co/tunib/electra-ko-base) on the custom_squad_v2 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5686 |
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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: 0.0005 |
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- train_batch_size: 128 |
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- eval_batch_size: 128 |
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- seed: 3 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 1024 |
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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: 3 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 0.94 | 10 | 2.9446 | |
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| No log | 1.94 | 20 | 1.7638 | |
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| No log | 2.94 | 30 | 1.5686 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.13.1 |
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- Datasets 2.8.0 |
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- Tokenizers 0.13.2 |
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