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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: pz-bert-kr |
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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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# pz-bert-kr |
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This model is a fine-tuned version of [Hanwoon/pz-bert-kr](https://huggingface.co/Hanwoon/bert-kor-base-pz-language-test) on the Multiple datasets. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.6540 |
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## Model description |
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Korean Language Bert Model |
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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: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 128 |
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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: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:------:|:---------------:| |
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| 2.7509 | 1.0 | 10546 | 2.7836 | |
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| 2.7325 | 2.0 | 21092 | 2.7776 | |
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| 2.6884 | 3.0 | 31638 | 2.7732 | |
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| 2.6839 | 4.0 | 42184 | 2.7663 | |
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| 2.655 | 5.0 | 52730 | 2.7548 | |
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| 2.6475 | 6.0 | 63276 | 2.7388 | |
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| 2.6172 | 7.0 | 73822 | 2.7406 | |
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| 2.6177 | 8.0 | 84368 | 2.7320 | |
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| 2.5885 | 9.0 | 94914 | 2.7121 | |
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| 2.5743 | 10.0 | 105460 | 2.7156 | |
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| 2.5652 | 11.0 | 116006 | 2.7047 | |
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| 2.5642 | 12.0 | 126552 | 2.6916 | |
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| 2.5644 | 13.0 | 137098 | 2.7033 | |
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| 2.5136 | 14.0 | 147644 | 2.6833 | |
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| 2.532 | 15.0 | 158190 | 2.6742 | |
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| 2.5224 | 16.0 | 168736 | 2.6702 | |
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| 2.5268 | 17.0 | 179282 | 2.6661 | |
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| 2.5077 | 18.0 | 189828 | 2.6629 | |
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| 2.5061 | 19.0 | 200374 | 2.6657 | |
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| 2.4853 | 20.0 | 210920 | 2.6540 | |
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### Framework versions |
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- Transformers 4.23.1 |
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- Pytorch 1.12.1 |
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- Datasets 2.6.1 |
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- Tokenizers 0.13.1 |
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