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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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datasets:
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- custom_squad_v2
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model-index:
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- name: kobigbird-test45-38109807
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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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# kobigbird-test45-38109807
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This model is a fine-tuned version of [klue/roberta-base](https://huggingface.co/klue/roberta-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: 4.1119
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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: 5e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 45
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 256
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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: 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 | 0.84 | 4 | 4.9338 |
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| No log | 1.84 | 8 | 4.2788 |
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| No log | 2.84 | 12 | 4.1119 |
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### Framework versions
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- Transformers 4.25.1
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- Pytorch 1.13.0+cu116
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- Datasets 2.8.0
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- Tokenizers 0.13.2
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