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--- |
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library_name: transformers |
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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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metrics: |
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- accuracy |
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model-index: |
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- name: test_trainer |
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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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# test_trainer |
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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 the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2071 |
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- Accuracy: 0.7405 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 1.0 |
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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 | 0.0935 | 200 | 0.2734 | 0.5675 | |
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| No log | 0.1871 | 400 | 0.2632 | 0.5931 | |
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| 0.3013 | 0.2806 | 600 | 0.2381 | 0.6531 | |
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| 0.3013 | 0.3742 | 800 | 0.2324 | 0.6814 | |
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| 0.2601 | 0.4677 | 1000 | 0.2241 | 0.7087 | |
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| 0.2601 | 0.5613 | 1200 | 0.2163 | 0.7229 | |
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| 0.2601 | 0.6548 | 1400 | 0.2173 | 0.7299 | |
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| 0.2511 | 0.7484 | 1600 | 0.2115 | 0.7343 | |
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| 0.2511 | 0.8419 | 1800 | 0.2073 | 0.7387 | |
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| 0.2369 | 0.9355 | 2000 | 0.2071 | 0.7405 | |
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### Framework versions |
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- Transformers 4.47.1 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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