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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-whole-word-masking |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bert-base-japanese-whole-word-masking-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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# bert-base-japanese-whole-word-masking-finetuned |
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This model is a fine-tuned version of [cl-tohoku/bert-base-japanese-whole-word-masking](https://huggingface.co/cl-tohoku/bert-base-japanese-whole-word-masking) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.7457 |
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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-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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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: 3.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.9789 | 1.0 | 2 | 1.7973 | |
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| 0.3371 | 2.0 | 4 | 0.3530 | |
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| 6.0381 | 3.0 | 6 | 1.8948 | |
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### Framework versions |
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- Transformers 4.33.2 |
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- Pytorch 2.0.1+cu118 |
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- Tokenizers 0.13.3 |
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