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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: kobigbird-bert-base-finetuned |
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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-bert-base-finetuned |
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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 None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8070 |
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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: 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: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 3.5433 | 0.52 | 500 | 1.7958 | |
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| 1.5093 | 1.03 | 1000 | 1.1129 | |
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| 1.1411 | 1.55 | 1500 | 1.0226 | |
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| 0.9785 | 2.07 | 2000 | 0.8868 | |
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| 0.8037 | 2.58 | 2500 | 0.8301 | |
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| 0.7273 | 3.1 | 3000 | 0.8552 | |
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| 0.6034 | 3.62 | 3500 | 0.8070 | |
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### Framework versions |
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- Transformers 4.23.0 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.5.2 |
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- Tokenizers 0.13.1 |
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