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# review_classification_bert_base_jp_v3_ratio1_5_2label_add_dropout-epoch30_v3_test

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: 1.4153
- Accuracy: 0.8333

## 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: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 174  | 0.3584          | 0.8384   |
| No log        | 2.0   | 348  | 0.3688          | 0.8384   |
| 0.3068        | 3.0   | 522  | 0.3905          | 0.8266   |
| 0.3068        | 4.0   | 696  | 0.4750          | 0.8384   |
| 0.3068        | 5.0   | 870  | 0.5981          | 0.8207   |
| 0.1234        | 6.0   | 1044 | 0.7474          | 0.8241   |
| 0.1234        | 7.0   | 1218 | 0.8165          | 0.8443   |
| 0.1234        | 8.0   | 1392 | 0.9306          | 0.8451   |
| 0.0219        | 9.0   | 1566 | 1.0272          | 0.8291   |
| 0.0219        | 10.0  | 1740 | 1.1183          | 0.8300   |
| 0.0219        | 11.0  | 1914 | 1.1176          | 0.8316   |
| 0.0038        | 12.0  | 2088 | 1.1603          | 0.8375   |
| 0.0038        | 13.0  | 2262 | 1.2502          | 0.8249   |
| 0.0038        | 14.0  | 2436 | 1.2183          | 0.8274   |
| 0.0018        | 15.0  | 2610 | 1.2581          | 0.8367   |
| 0.0018        | 16.0  | 2784 | 1.3006          | 0.8316   |
| 0.0018        | 17.0  | 2958 | 1.3206          | 0.8485   |
| 0.0004        | 18.0  | 3132 | 1.2802          | 0.8426   |
| 0.0004        | 19.0  | 3306 | 1.3309          | 0.8409   |
| 0.0004        | 20.0  | 3480 | 1.3235          | 0.8367   |
| 0.0022        | 21.0  | 3654 | 1.3566          | 0.8316   |
| 0.0022        | 22.0  | 3828 | 1.3597          | 0.8266   |
| 0.0011        | 23.0  | 4002 | 1.3692          | 0.8316   |
| 0.0011        | 24.0  | 4176 | 1.3597          | 0.8409   |
| 0.0011        | 25.0  | 4350 | 1.4123          | 0.8274   |
| 0.0001        | 26.0  | 4524 | 1.4911          | 0.8241   |
| 0.0001        | 27.0  | 4698 | 1.4161          | 0.8316   |
| 0.0001        | 28.0  | 4872 | 1.4187          | 0.8333   |
| 0.0001        | 29.0  | 5046 | 1.4226          | 0.8291   |
| 0.0001        | 30.0  | 5220 | 1.4153          | 0.8333   |


### 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-epoch30_v3_test", "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