|
--- |
|
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 |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# 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 |
|
|
