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README.md
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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- name: koelectra-base-86371428
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results: []
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# koelectra-base-86371428
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This model is a fine-tuned version of [monologg/koelectra-base-v3-discriminator](https://huggingface.co/monologg/koelectra-base-v3-discriminator) on the
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.
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- train_batch_size: 128
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- eval_batch_size: 128
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- seed: 30
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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: cosine
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- num_epochs:
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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.
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### Framework versions
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license: apache-2.0
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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: koelectra-base-86371428
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results: []
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# koelectra-base-86371428
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This model is a fine-tuned version of [monologg/koelectra-base-v3-discriminator](https://huggingface.co/monologg/koelectra-base-v3-discriminator) on the custom_squad_v2 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.6169
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0004
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- train_batch_size: 128
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- eval_batch_size: 128
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- seed: 30
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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: cosine
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- num_epochs: 2
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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 | 1.8078 |
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| No log | 1.94 | 20 | 1.6169 |
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### Framework versions
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