|
--- |
|
language: |
|
- ko |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
base_model: Hyeonseo/ko-finance_news_classifier |
|
model-index: |
|
- name: finance_news_classifier-KR_v7 |
|
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. --> |
|
|
|
# finance_news_classifier-KR_v7 |
|
|
|
This model is a fine-tuned version of [Hyeonseo/ko-finance_news_classifier](https://huggingface.co/Hyeonseo/ko-finance_news_classifier) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.2265 |
|
- Accuracy: 0.9701 |
|
|
|
## 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: 10 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| No log | 1.0 | 243 | 0.1994 | 0.9608 | |
|
| No log | 2.0 | 486 | 0.1584 | 0.9660 | |
|
| 0.1793 | 3.0 | 729 | 0.2011 | 0.9557 | |
|
| 0.1793 | 4.0 | 972 | 0.2214 | 0.9629 | |
|
| 0.085 | 5.0 | 1215 | 0.2885 | 0.9526 | |
|
| 0.085 | 6.0 | 1458 | 0.2288 | 0.9660 | |
|
| 0.0365 | 7.0 | 1701 | 0.2512 | 0.9619 | |
|
| 0.0365 | 8.0 | 1944 | 0.2201 | 0.9670 | |
|
| 0.0178 | 9.0 | 2187 | 0.2621 | 0.9598 | |
|
| 0.0178 | 10.0 | 2430 | 0.2265 | 0.9701 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.28.0 |
|
- Pytorch 2.0.1+cu118 |
|
- Datasets 2.14.4 |
|
- Tokenizers 0.13.3 |
