---
license: apache-2.0
base_model: cl-tohoku/bert-large-japanese-v2
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: bert-large-japanease-v2-gpt4-relevance-learned
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert-large-japanease-v2-gpt4-relevance-learned

This model is a fine-tuned version of [cl-tohoku/bert-large-japanese-v2](https://huggingface.co/cl-tohoku/bert-large-japanese-v2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2693
- Accuracy: 0.885
- F1: 0.8788

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 3.3692        | 1.0   | 563  | 3.2122          | 0.872    | 0.8560 |
| 3.0963        | 2.0   | 1126 | 3.1045          | 0.866    | 0.8625 |
| 2.8698        | 3.0   | 1689 | 3.1410          | 0.882    | 0.8755 |
| 2.6212        | 4.0   | 2252 | 3.2119          | 0.876    | 0.8702 |
| 2.407         | 5.0   | 2815 | 3.2693          | 0.885    | 0.8788 |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3