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# review_classification_bert_base_jp_v3_ratio1_5_2label_add_dropout-epoch15_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: 1.2584
- Accuracy: 0.8235

## 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: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 156  | 0.3394          | 0.8460   |
| No log        | 2.0   | 312  | 0.3416          | 0.8338   |
| No log        | 3.0   | 468  | 0.3775          | 0.8338   |
| 0.2942        | 4.0   | 624  | 0.4964          | 0.8319   |
| 0.2942        | 5.0   | 780  | 0.6834          | 0.8263   |
| 0.2942        | 6.0   | 936  | 0.8556          | 0.8376   |
| 0.0772        | 7.0   | 1092 | 0.9792          | 0.8197   |
| 0.0772        | 8.0   | 1248 | 1.0804          | 0.8188   |
| 0.0772        | 9.0   | 1404 | 1.1236          | 0.8244   |
| 0.0082        | 10.0  | 1560 | 1.1708          | 0.8254   |
| 0.0082        | 11.0  | 1716 | 1.1788          | 0.8272   |
| 0.0082        | 12.0  | 1872 | 1.1949          | 0.8310   |
| 0.002         | 13.0  | 2028 | 1.2106          | 0.8282   |
| 0.002         | 14.0  | 2184 | 1.2539          | 0.8235   |
| 0.002         | 15.0  | 2340 | 1.2584          | 0.8235   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- 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-epoch15_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