---
license: cc-by-sa-4.0
base_model: cl-tohoku/bert-base-japanese-whole-word-masking
tags:
- generated_from_trainer
model-index:
- name: bert-base-japanese-whole-word-masking-finetuned
  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-base-japanese-whole-word-masking-finetuned

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: 2.7457

## 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: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9789        | 1.0   | 2    | 1.7973          |
| 0.3371        | 2.0   | 4    | 0.3530          |
| 6.0381        | 3.0   | 6    | 1.8948          |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Tokenizers 0.13.3