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# review_classification_bert_base_jp_v3_ratio1_5_2label_add_dropout-epoch4_v4

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: 0.3826
- Accuracy: 0.8316

## 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: 1e-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: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 174  | 0.3540          | 0.8451   |
| No log        | 2.0   | 348  | 0.3582          | 0.8359   |
| 0.3069        | 3.0   | 522  | 0.3748          | 0.8359   |
| 0.3069        | 4.0   | 696  | 0.3826          | 0.8316   |


### 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_5_2label_add_dropout-epoch4_v4", "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