---
license: cc-by-sa-4.0
base_model: cl-tohoku/bert-base-japanese
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-base-japanese-ghost_rate
  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-ghost_rate

This model is a fine-tuned version of [cl-tohoku/bert-base-japanese](https://huggingface.co/cl-tohoku/bert-base-japanese) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8997
- Accuracy: 0.2234

## 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-07
- 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
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 441  | 1.8997          | 0.2234   |
| 1.9362        | 2.0   | 882  | 1.8844          | 0.2234   |
| 1.9011        | 3.0   | 1323 | 1.8772          | 0.2234   |
| 1.8889        | 4.0   | 1764 | 1.8714          | 0.2234   |
| 1.8829        | 5.0   | 2205 | 1.8672          | 0.2234   |
| 1.8777        | 6.0   | 2646 | 1.8631          | 0.2234   |
| 1.8761        | 7.0   | 3087 | 1.8601          | 0.2234   |
| 1.8705        | 8.0   | 3528 | 1.8576          | 0.2234   |
| 1.8705        | 9.0   | 3969 | 1.8561          | 0.2234   |
| 1.8678        | 10.0  | 4410 | 1.8556          | 0.2234   |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1