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update model card README.md
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README.md
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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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---
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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
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