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README.md
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---
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tags:
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- generated_from_trainer
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model-index:
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- name: awsome_bigbird_24387490
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results: []
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# awsome_bigbird_24387490
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This model is a fine-tuned version of [monologg/kobigbird-bert-base](https://huggingface.co/monologg/kobigbird-bert-base) on the
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## Model description
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 30
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- gradient_accumulation_steps:
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- total_train_batch_size:
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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:
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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 |
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### Framework versions
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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: awsome_bigbird_24387490
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results: []
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# awsome_bigbird_24387490
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This model is a fine-tuned version of [monologg/kobigbird-bert-base](https://huggingface.co/monologg/kobigbird-bert-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: 1.1222
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## Model description
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 30
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 512
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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 | 0.99 | 21 | 1.2008 |
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| No log | 1.99 | 42 | 1.1138 |
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| No log | 2.99 | 63 | 1.1222 |
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### Framework versions
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