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---
license: apache-2.0
base_model: cl-tohoku/bert-large-japanese-v2
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: results
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# results
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
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