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# review_classification_bert_base_jp_v3_ratio1_1-epoch20

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.
It achieves the following results on the evaluation set:
- Loss: 2.5045
- Accuracy: 0.6888

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 85   | 0.5663          | 0.7080   |
| No log        | 2.0   | 170  | 0.6268          | 0.6947   |
| No log        | 3.0   | 255  | 0.7858          | 0.6888   |
| No log        | 4.0   | 340  | 0.9156          | 0.6962   |
| No log        | 5.0   | 425  | 1.2999          | 0.6792   |
| 0.2773        | 6.0   | 510  | 1.9478          | 0.6600   |
| 0.2773        | 7.0   | 595  | 2.0691          | 0.6733   |
| 0.2773        | 8.0   | 680  | 2.0470          | 0.6755   |
| 0.2773        | 9.0   | 765  | 2.0596          | 0.7050   |
| 0.2773        | 10.0  | 850  | 2.1844          | 0.6954   |
| 0.2773        | 11.0  | 935  | 2.3059          | 0.6858   |
| 0.0102        | 12.0  | 1020 | 2.4167          | 0.6792   |
| 0.0102        | 13.0  | 1105 | 2.4146          | 0.6881   |
| 0.0102        | 14.0  | 1190 | 2.3954          | 0.6947   |
| 0.0102        | 15.0  | 1275 | 2.3927          | 0.6954   |
| 0.0102        | 16.0  | 1360 | 2.4824          | 0.6858   |
| 0.0102        | 17.0  | 1445 | 2.4586          | 0.6954   |
| 0.0011        | 18.0  | 1530 | 2.4730          | 0.6947   |
| 0.0011        | 19.0  | 1615 | 2.5057          | 0.6873   |
| 0.0011        | 20.0  | 1700 | 2.5045          | 0.6888   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "cl-tohoku/bert-base-japanese-v3", "model-index": [{"name": "review_classification_bert_base_jp_v3_ratio1_1-epoch20", "results": []}]}
transformers tensorboard safetensors bert text-classification generated_from_trainer base_model:cl-tohoku/bert-base-japanese-v3 license:apache-2.0 autotrain_compatible endpoints_compatible region:us