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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: ko-finance_news_classifier
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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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# ko-finance_news_classifier
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This model is a fine-tuned version of [cardiffnlp/twitter-xlm-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-xlm-roberta-base-sentiment) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4474
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- Accuracy: 0.8423
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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: 20
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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 | 1.0782 | 0.8010 |
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| No log | 2.0 | 486 | 1.0328 | 0.8381 |
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| 0.0766 | 3.0 | 729 | 1.2348 | 0.8330 |
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| 0.0766 | 4.0 | 972 | 1.3915 | 0.8052 |
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| 0.046 | 5.0 | 1215 | 1.2995 | 0.8474 |
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| 0.046 | 6.0 | 1458 | 1.2926 | 0.8361 |
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| 0.0512 | 7.0 | 1701 | 1.2889 | 0.8330 |
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| 0.0512 | 8.0 | 1944 | 1.3107 | 0.8392 |
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| 0.0415 | 9.0 | 2187 | 1.4514 | 0.8309 |
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| 0.0415 | 10.0 | 2430 | 1.2869 | 0.8381 |
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| 0.0279 | 11.0 | 2673 | 1.2874 | 0.8526 |
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| 0.0279 | 12.0 | 2916 | 1.4731 | 0.8423 |
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| 0.0126 | 13.0 | 3159 | 1.3956 | 0.8443 |
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| 0.0126 | 14.0 | 3402 | 1.4211 | 0.8454 |
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| 0.0101 | 15.0 | 3645 | 1.3686 | 0.8474 |
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| 0.0101 | 16.0 | 3888 | 1.4412 | 0.8423 |
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| 0.0114 | 17.0 | 4131 | 1.4376 | 0.8423 |
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| 0.0114 | 18.0 | 4374 | 1.4566 | 0.8423 |
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| 0.0055 | 19.0 | 4617 | 1.4439 | 0.8443 |
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| 0.0055 | 20.0 | 4860 | 1.4474 | 0.8423 |
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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 2.12.0
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- Tokenizers 0.13.3
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