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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: 1.8997 |
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- Accuracy: 0.2234 |
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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: linear |
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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 | 441 | 1.8997 | 0.2234 | |
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| 1.9362 | 2.0 | 882 | 1.8844 | 0.2234 | |
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| 1.9011 | 3.0 | 1323 | 1.8772 | 0.2234 | |
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| 1.8889 | 4.0 | 1764 | 1.8714 | 0.2234 | |
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| 1.8829 | 5.0 | 2205 | 1.8672 | 0.2234 | |
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| 1.8777 | 6.0 | 2646 | 1.8631 | 0.2234 | |
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| 1.8761 | 7.0 | 3087 | 1.8601 | 0.2234 | |
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| 1.8705 | 8.0 | 3528 | 1.8576 | 0.2234 | |
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| 1.8705 | 9.0 | 3969 | 1.8561 | 0.2234 | |
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| 1.8678 | 10.0 | 4410 | 1.8556 | 0.2234 | |
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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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