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--- |
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license: apache-2.0 |
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base_model: cl-tohoku/bert-base-japanese-v3 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- precision |
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- recall |
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- f1 |
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- accuracy |
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model-index: |
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- name: bert-japanese-ner |
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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-japanese-ner |
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This model is a fine-tuned version of [cl-tohoku/bert-base-japanese-v3](https://huggingface.co/cl-tohoku/bert-base-japanese-v3) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0372 |
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- Precision: 0.9673 |
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- Recall: 0.9682 |
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- F1: 0.9678 |
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- Accuracy: 0.9933 |
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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: 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: 5 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
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| 0.0553 | 1.0 | 848 | 0.0263 | 0.9683 | 0.9334 | 0.9505 | 0.9908 | |
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| 0.0133 | 2.0 | 1696 | 0.0241 | 0.9707 | 0.9560 | 0.9633 | 0.9928 | |
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| 0.0065 | 3.0 | 2544 | 0.0245 | 0.9631 | 0.9706 | 0.9668 | 0.9935 | |
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| 0.0027 | 4.0 | 3392 | 0.0321 | 0.9716 | 0.9659 | 0.9687 | 0.9936 | |
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| 0.0012 | 5.0 | 4240 | 0.0372 | 0.9673 | 0.9682 | 0.9678 | 0.9933 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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