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--- |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: finance_news_classifier-KR_v7 |
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results: [] |
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language: |
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- ko |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# finance_news_classifier-KR_v7 |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2265 |
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- Accuracy: 0.9701 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 1.0 | 243 | 0.1994 | 0.9608 | |
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| No log | 2.0 | 486 | 0.1584 | 0.9660 | |
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| 0.1793 | 3.0 | 729 | 0.2011 | 0.9557 | |
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| 0.1793 | 4.0 | 972 | 0.2214 | 0.9629 | |
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| 0.085 | 5.0 | 1215 | 0.2885 | 0.9526 | |
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| 0.085 | 6.0 | 1458 | 0.2288 | 0.9660 | |
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| 0.0365 | 7.0 | 1701 | 0.2512 | 0.9619 | |
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| 0.0365 | 8.0 | 1944 | 0.2201 | 0.9670 | |
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| 0.0178 | 9.0 | 2187 | 0.2621 | 0.9598 | |
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| 0.0178 | 10.0 | 2430 | 0.2265 | 0.9701 | |
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### Framework versions |
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- Transformers 4.28.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
