---
license: apache-2.0
base_model: cl-tohoku/bert-base-japanese-v3
tags:
- generated_from_trainer
datasets:
- ner-wikipedia-dataset
model-index:
- name: bert-base-japanese-finetuned-crf-ner
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert-base-japanese-finetuned-crf-ner

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 ner-wikipedia-dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2869

## 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 19.818        | 1.0   | 134  | 1.7200          |
| 1.2449        | 2.0   | 268  | 1.4549          |
| 0.5612        | 3.0   | 402  | 1.6533          |
| 0.3228        | 4.0   | 536  | 1.9766          |
| 0.2002        | 5.0   | 670  | 2.2869          |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1