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# review_classification_bert_base_jp_v3_ratio1_1_2label_add_dropout-epoch40_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: 1.4594
- Accuracy: 0.8023

## 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: 40

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 52   | 0.5181          | 0.7316   |
| No log        | 2.0   | 104  | 0.4858          | 0.7684   |
| No log        | 3.0   | 156  | 0.4934          | 0.7684   |
| No log        | 4.0   | 208  | 0.5022          | 0.7910   |
| No log        | 5.0   | 260  | 0.5365          | 0.7910   |
| No log        | 6.0   | 312  | 0.6070          | 0.8136   |
| No log        | 7.0   | 364  | 0.7252          | 0.8107   |
| No log        | 8.0   | 416  | 0.9174          | 0.7825   |
| No log        | 9.0   | 468  | 1.0906          | 0.7655   |
| 0.208         | 10.0  | 520  | 1.2154          | 0.7740   |
| 0.208         | 11.0  | 572  | 1.0851          | 0.8051   |
| 0.208         | 12.0  | 624  | 1.3699          | 0.7627   |
| 0.208         | 13.0  | 676  | 1.1715          | 0.7994   |
| 0.208         | 14.0  | 728  | 1.2354          | 0.7910   |
| 0.208         | 15.0  | 780  | 1.2615          | 0.7881   |
| 0.208         | 16.0  | 832  | 1.2891          | 0.7825   |
| 0.208         | 17.0  | 884  | 1.4250          | 0.7768   |
| 0.208         | 18.0  | 936  | 1.5752          | 0.7712   |
| 0.208         | 19.0  | 988  | 1.3456          | 0.8023   |
| 0.001         | 20.0  | 1040 | 1.3598          | 0.7994   |
| 0.001         | 21.0  | 1092 | 1.3378          | 0.8107   |
| 0.001         | 22.0  | 1144 | 1.3534          | 0.8051   |
| 0.001         | 23.0  | 1196 | 1.3832          | 0.7881   |
| 0.001         | 24.0  | 1248 | 1.3838          | 0.7938   |
| 0.001         | 25.0  | 1300 | 1.4257          | 0.7881   |
| 0.001         | 26.0  | 1352 | 1.4115          | 0.8023   |
| 0.001         | 27.0  | 1404 | 1.6230          | 0.7684   |
| 0.001         | 28.0  | 1456 | 1.4132          | 0.8023   |
| 0.0009        | 29.0  | 1508 | 1.6508          | 0.7684   |
| 0.0009        | 30.0  | 1560 | 1.4539          | 0.8023   |
| 0.0009        | 31.0  | 1612 | 1.4677          | 0.8023   |
| 0.0009        | 32.0  | 1664 | 1.4155          | 0.8079   |
| 0.0009        | 33.0  | 1716 | 1.4262          | 0.8079   |
| 0.0009        | 34.0  | 1768 | 1.4390          | 0.8023   |
| 0.0009        | 35.0  | 1820 | 1.4405          | 0.8023   |
| 0.0009        | 36.0  | 1872 | 1.4471          | 0.8051   |
| 0.0009        | 37.0  | 1924 | 1.4526          | 0.8023   |
| 0.0009        | 38.0  | 1976 | 1.4568          | 0.8023   |
| 0.0001        | 39.0  | 2028 | 1.4596          | 0.8023   |
| 0.0001        | 40.0  | 2080 | 1.4594          | 0.8023   |


### 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_1_2label_add_dropout-epoch40_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