---
license: cc-by-sa-4.0
tags:
- generated_from_trainer
model-index:
- name: bert-japanese-ner
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# bert-japanese-ner

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.
It achieves the following results on the evaluation set:
- Loss: 0.0842

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.2834        | 1.0   | 179  | 0.0915          |
| 0.0548        | 2.0   | 358  | 0.0831          |
| 0.0235        | 3.0   | 537  | 0.0842          |


### Framework versions

- Transformers 4.29.2
- Pytorch 1.12.1.post201
- Datasets 2.12.0
- Tokenizers 0.13.3