metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: finance_news_classifier-KR_v7
results: []
language:
- ko
finance_news_classifier-KR_v7
This model is a fine-tuned version of 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