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--- |
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license: cc-by-sa-4.0 |
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base_model: cl-tohoku/bert-base-japanese |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: bert-base-japanese-ghost_rate |
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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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# bert-base-japanese-ghost_rate |
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This model is a fine-tuned version of [cl-tohoku/bert-base-japanese](https://huggingface.co/cl-tohoku/bert-base-japanese) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7155 |
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- Accuracy: 0.1667 |
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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: 2e-07 |
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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: cosine |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 1.0 | 275 | 1.7696 | 0.1858 | |
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| 1.7385 | 2.0 | 550 | 1.7574 | 0.1821 | |
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| 1.7385 | 3.0 | 825 | 1.7461 | 0.1785 | |
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| 1.7262 | 4.0 | 1100 | 1.7364 | 0.1758 | |
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| 1.7262 | 5.0 | 1375 | 1.7280 | 0.1712 | |
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| 1.7105 | 6.0 | 1650 | 1.7221 | 0.1703 | |
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| 1.7105 | 7.0 | 1925 | 1.7183 | 0.1667 | |
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| 1.6983 | 8.0 | 2200 | 1.7163 | 0.1667 | |
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| 1.6983 | 9.0 | 2475 | 1.7156 | 0.1667 | |
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| 1.697 | 10.0 | 2750 | 1.7155 | 0.1667 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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